{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c503c0b9-721e-4738-8af3-fb6f21b4e940",
   "metadata": {},
   "source": [
    "# Inverse design of an apodized grating coupler through shape optimization\n",
    "\n",
    "A grating coupler (GC) is a key photonic device used to couple light between optical fibers and on-chip waveguides by diffracting light at a specific angle. These devices often employ apodization, a technique that modifies the grating tooth parameters along the device length to improve efficiency and minimize reflection losses. \n",
    "\n",
    "In this notebook, we will use gradient-based optimization to determine the optimal grating tooth distribution. We start from a uniform grating coupler and modify the tooth and gap sizes simultaneously using gradient based optimization. Feature size constraints on the parameters enable the device to remain fabricable over the course of optimization. In just a handful of iterations, we achieve a design that outperforms an 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 approach can be modified to 3D without much further complication.\n",
    "\n",
    "If you are interested in other inverse design examples using tidy3d, you can find many of them [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 to inverse design tutorials](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) and our [primer on automatic differentiation with tidy3d](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd1Intro/).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d614f839-ccf7-4090-930b-418bb5a7bfca",
   "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",
    "\n",
    "# we will use optax to perform the optimization using gradient descent\n",
    "import optax\n",
    "import tidy3d as td\n",
    "import tidy3d.web as web"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d800f27-1aec-4a74-a742-6db60f6ff77a",
   "metadata": {},
   "source": [
    "### Basic Parameters\n",
    "\n",
    "First, we define the basic parameters used to define a uniform grating coupler for operation primarily in the C-band."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "783e1895-cb9d-4b04-9d41-75ac3d1c024c",
   "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"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c544496-9fa7-4ea7-965a-a432126b739e",
   "metadata": {},
   "source": [
    "The material platform is the common silicon on insulator (SOI) with a 260 nm silicon thickness and 2 µm BOX thickness. The top cladding layer is 680 nm oxide. The grating will be partially etched with an etching depth of 160 nm. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6d1df365-55c9-4144-8a02-ac8255e82c95",
   "metadata": {},
   "outputs": [],
   "source": [
    "# define materials from the material library\n",
    "si = td.material_library[\"cSi\"][\"Palik_Lossless\"]\n",
    "sio2 = td.material_library[\"SiO2\"][\"Palik_Lossless\"]\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"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "412c85b8-40a7-496a-86c1-5cf9e5a133f8",
   "metadata": {},
   "source": [
    "We aim to design the GC for the standard single-mode fiber (SMF) with a mode field diameter (MFD) of 10.8 µm. The fiber is tilted at a 14.5 degree angle."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "085e7054-0404-41f7-92dc-92a7c70d3557",
   "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"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32dd5032-2726-46fc-9729-e3b1bd540945",
   "metadata": {},
   "source": [
    "Next we compute the uniform tooth parameters (periodicity and fill fraction) to maximize efficiency."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "76f6fd55-ea39-4075-947d-f0c45d6794d1",
   "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]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de55f737-bbdb-49ff-8275-cd3edf02d61f",
   "metadata": {},
   "source": [
    "After obtaining $p_{\\text{i}}$ and $f_{\\text{i}}$, we will write a function to return the width of each air gap and each tooth. We will use these gap widths as the parameters for our design. The advantage is that we can impose bounds on these values to ensure the minimal feature size is above the fabrication constraint. \n",
    "\n",
    "Here we aim to have a minimal feature size above 60 nm. The current design has a minimal feature size right above it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "612d531c-d0ac-403f-af72-61114df336b0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The minimal feature size is 123.46 nm.\n"
     ]
    }
   ],
   "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.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e8eb1a5-a086-4891-9174-f2e7631a792f",
   "metadata": {},
   "source": [
    "To ensure the minimal feature size is maintained during the optimization, we will use a design parameter in the range from `-inf` to `inf` and project it to a `tanh` function that is bounded by the minimal and maximal feature sizes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "590e2278-7b7a-44ce-854d-0f6062a47a3b",
   "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)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c75daee-95c5-4188-bd5a-79d73d5208ef",
   "metadata": {},
   "source": [
    "### Define Static Components of the Simulation\n",
    "\n",
    "Next we will define the components that don't change during the optimization. These include the cladding layer, the output waveguide, the unetched layer, the bottom oxide layer, and the silicon substrate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "35b28f02-43b1-436c-a2bf-c4ab6d794cb1",
   "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",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ac068d4-c8c7-45fb-b6fc-1676dc0af5f8",
   "metadata": {},
   "source": [
    "The source and monitor are not changed either. We use a [GaussianBeam](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.GaussianBeam.html#tidy3d.GaussianBeam) to represent the incident fiber mode. A [ModeMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.ModeMonitor.html#tidy3d.ModeMonitor) is placed at the output waveguide to measure the coupling efficiency."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e83c40f0-9ec0-4e3c-aa70-40e493965ca4",
   "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",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06e6d00c-dd3d-4814-9188-4d5022e79916",
   "metadata": {},
   "source": [
    "### Simulate the Designed Apodized GC\n",
    "\n",
    "To simulate the designed GC and facility future optimization, we define a function that takes in an array of design parameters and returns a [Simulation]() object. Note again that each design parameter has a range from `-inf` to `inf`. It will then be projected to a range between `min_width` and `max_width`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b2bd11b8-806c-4c49-bc25-72e4b880bd26",
   "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"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eae40995-0bca-43da-8f1a-7c1c4ca7e09f",
   "metadata": {},
   "source": [
    "Create the simulation for the designed apodized GC and visualize it. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d30f6c56-4714-4333-afbb-bb8683d7877f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim0 = make_2d_sim(params0)\n",
    "sim0.plot_eps(y=0, freq=freq0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41cf286b-4f5d-41aa-8de7-e20f0b5c20ba",
   "metadata": {},
   "source": [
    "Also visualize the grid to ensure it resolves the small features well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9c6283a4-f130-4fad-ac6e-4d7f64663fb1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1jYw+TkxTluj5Pf/886158+aFbEfT3Vx44YXmM6ifdf2MHzp0KKo+rly50rQfnDJHt/Xv39+kTdFzX7lyZfP7oKlWNNXMnXfeGfF3yH5fwel6Qn0e1q5da/b1/70BUgmPFAMAl9BZKJ1h1Nmw4JWd6ULv0dSZW50NtenMmT7RJNTTJ+JN0wrp7LRejmXGDqmIe+wAwAX039h6aVMvY6ZrUGfftqCXse00Nsmki2M0rY9e/ieoQ6riHjsAcJAuKvnoo4/MfW36WC5NVZPO9J6+cHn3Ek1TruhCDyCVEdgBgIM0N52mOtEFNI899phZHAAAKX0pdvLkyWb1mib71H+tLVu2LOy+s2fPNivr9C9BTSmgKRf878WwL2no44o0n5OuCNMl+JoVHwDcRv/u07+zNNWJripFbnp+knF/HeAFjgd2dkoAvTFWM7g3bdrULMcPl3hSl+ZrqoQlS5bITz/9ZFIc6EtTKdjGjRtncn5pXitNoqkBoNZpPwIHAADAixxfFaszdJrnSfMnKU1Yqkkq77vvPvNMymhovifNr6W5mvTt6Iqqf/3rX/Lwww+bck0Uqo/r0Yzx3bt3T+j7AQAASMt77PQGWV1SrokvbZqRXi+d6oxcXjSI06SsmqxVE5Taj4LZuXNnwDMWNYmlBpBaZ6jATrOo+2es1+BSM+3rjbSsjAIAAAWlMYs+lUUnnzTW8WRgp4+v0cz0OpvmT3/WbPXh6AycPn5GgzHNqq8Z8K+44gpTpkGdXUdwnXZZMM10r9nWAQAAEumPP/4wT+1JlJRcFXvaaaeZh0rrsvT58+ebe/Rq167tewROrHTGUOvwDxw1j5QmqdRHAdkDoeznIgaLVJ7sskjl8W7P7fU5UZYubdIf97Xptv440Sb9cV+b9EdMmT6DWR99pzFMIjka2FWsWNHMuOlzHf3pz1lZWWGP0ylMfV6h0lWx+gxBnXXTwM4+TuvQVbH+ddoPLQ+mz6nUVzAN6uwB0AUYKtyARCpPdlmk8ni35/b6nChLlzbpj/vadFt/nGiT/rivTfojvjKV6Fu8HA3sMjIyzMOyddatS5cuvvvb9Gd9mHm09Bj7HrlatWqZ4E7rsAO5Q4cOmdWx99xzT0z9q1OnjpQtWzZgmx1QhhOpPNllkcrj3Z7b63OiLF3apD/ua9Nt/XGiTfrjvjbTvT+HDx+WZHD8UqxeAu3Vq5fJTdeqVSuZNGmSycSuKUxUz549zf10OiOn9E/dV4MuDebmzp1r8thNmTLFFwnrs/70kTB169Y1gd7QoUPNzYp28AgAAOBFjgd23bp1M5nXNaGwLm7QWbZ58+b5Fj9s3bo1YPWIBn19+/aVbdu2meTD9evXl7ffftvUYxswYIDZr0+fPnLgwAFp27atqVMTIAMAAHiV44Gd0suu4S69Lly4MOBnnYnTVyQ6azdy5EjzAgAASBeOP3kCAAAA8UFgBwAA4BEEdgAAAB5BYAcAAOARrlg84Va///67L9Hgli1bIu4bqTzZZZHK492e2+tzoixd2qQ/7mvTbf1xok3647426Y+YMs3WkQzM2AEAAHgEM3YR8OQJ79TnRFm6tEl/3Nem2/rjRJv0x31tpnt/DifpyRPM2AEAAHgEgR0AAIBHENgBAAB4BIEdAACAR7B4IgLSnaR+fU6UpUub9Md9bbqtP060SX/c1yb9kaSmOyGwi+C3MW9LqWLFzf/vOLzP/Jl9WoWQ+0YqT3aZXX72A10lnWx4dparzr/X26Q/7mvTbf2J5dgGI26XdLJ2+DTXjwn9iW+bR//OkWQgsIvgrLIVpUxGiYBt1ctlRjwmUnmyy2rUqJGy6Unyc4z+Mrnp/KdLm/THfW26rT/RHJvM1EeJqjeWsiNB58ONY0J/MuNalv33cUkG7rEDAADwCAI7AAAAjyCwAwAA8AgCOwAAAI9g8UQE2w7tzbUqNpxI5ckus8tLhVh67fb0JAWpL9w5cer8e71N+uO+Nt3Wn1iOLb1hQ0qnsoi1bOvBPa4fE/oT37JkrYplxg4AAMAjmLGLgHQn0Ze5oT7SnTjTJv1xX5tu6080x5LuxH1jQn8y41pGuhMAAADEhMAOAADAIwjsAAAAPILADgAAwCMI7AAAADyCVbERkMcu7zI31UceO/d9Bt1Sli5tuq0/sRxLHjv3jQn9yY08dgAAAEgaZuwiII9d9GVuqI88ds60SX/c16bb+hPNseSxc9+Y0J/MuJaRxw4AAAAxIbADAADwCAI7AAAAjyCwAwAA8AgWT0RAupO8y9xUH+lO3PcZdEtZurTptv7EcizpTtw3JvQnN9KdAAAAIGmYsYuAdCfRl7mhPtKdONMm/XFfm27rTzTHku7EfWNCfzLjWka6EwAAAKReYDd58mSpWbOmlChRQlq3bi3Lli0Lu+/LL78sF198sZQvX9682rdvn2t/y7Jk2LBhUrlyZSlZsqTZZ/369Ul4JwAAAGkc2M2cOVP69+8vw4cPl5UrV0rTpk2lQ4cOsnv37pD7L1y4UG688UZZsGCBLFmyRKpVqyZXXnmlbN++3bfPuHHj5LnnnpOpU6fK0qVLpXTp0qbOY8eOJfGdAQAApFlgN3HiROndu7fcdttt0rBhQxOMlSpVSqZNmxZy/+nTp0vfvn2lWbNmUr9+fXnllVfk1KlTMn/+fN9s3aRJk2TIkCHSuXNnadKkibz55puyY8cOmTNnTpLfHQAAQJosnsjJyZEVK1bIoEGDfNsKFy5sLp3qbFw0srOz5e+//5YKFSqYnzdt2iQ7d+40ddjKlStnLvFqnd27d4+6f6Q7ybvMTfWR7sR9n0G3lKVLm27rTyzHku7EfWNCf1Iz3Ymjgd3evXvl5MmTUqlSpYDt+vO6deuiqmPgwIFSpUoVXyCnQZ1dR3Cddlmw48ePm5ft0KFDMb8XAAAAp6V0upOxY8fKjBkzzH13uvAiv8aMGSMjRozItZ10J9GXuaE+0p040yb9cV+bbutPNMeS7sR9Y0J/MuNalhbpTipWrChFihSRXbt2BWzXn7OysiIeO2HCBBPYff755+Y+Opt9XCx16qXggwcP+l5//PFHAd4VAACAMxwN7DIyMqRFixa+hQ/KXgjRpk2bsMfpqtdRo0bJvHnzpGXLlgFltWrVMgGcf516aVVXx4ars3jx4lK2bNmAFwAAQKpx/FKspjrp1auXCdBatWplVrQeOXLErJJVPXv2lKpVq5rLpeqpp54yOereeecdk/vOvm+uTJky5lWoUCF58MEHZfTo0VK3bl0T6A0dOtTch9elSxdH3ysAAIBrAjudTfv666/l22+/NSt9dEVqZmamNG/e3Cxe0JxyserWrZvs2bPHBGsapGkaE52Jsxc/bN261ayUtU2ZMsWspr3++usD6tE8eI8//rj5/wEDBpjgsE+fPnLgwAFp27atqbMg9+EBAAB4IrA7evSoPP300yao2rdvnwm+dAZMn+qwYcMGkx9Oc9FpomAN0C644IKYOtGvXz/zCkUXRvjbvHlznvXprN3IkSPNqyBId5J3mZvqI92J+z6DbilLlzbd1p9YjiXdifvGhP54ON1JvXr1zP1p+jivK664QooVKxbyw6uXRzVP3ODBg02gBwAAgOSJKrDTlacNGjSIuI+m1tDVpQ8//LC5fOoFpDuJvswN9ZHuxJk26Y/72nRbf6I5lnQn7hsT+pPp3XQneQV1/nQ2r06dOgXpEwAAAJK1KvbYsWPy008/ye7du82CCn/XXHNNfqoEAABAsgM7XV2qKUj0cWChFi3oI8IAAACQAgmK77vvPunatav8+eefZrbO/0VQBwAAkEIzdvpoLk0qbOeZ8zLSneRd5qb6SHfivs+gW8rSpU239SeWY0l34r4xoT+pme4k5hk7TQwcnFsOAAAAKThj98ILL5hLsfr0icaNG+fKaXf//feLV5DuJPoyN9RHuhNn2qQ/7mvTbf2J5ljSnbhvTOhPZkqmO4k5sHv33XdNXjt9PJfO3OmCCZv+v5cCOwAAgFQSc2CnT5UYMWKEPProowHPcAUAAICzYo7McnJypFu3bgR1AAAALhNzdNarVy+ZOXNmYnoDAACA5F2K1Vx148aNk88++0yaNGmSa/HExIkTxStId5J3mZvqI92J+z6DbilLlzbd1p9YjiXdifvGhP6kZrqTmAO71atXS/Pmzc3///zzz4noEwAAAJIR2C1YsEDSBelOoi9zQ32kO3GmTfrjvjbd1p9ojiXdifvGhP5kpmS6k7itgNDp5n79+sWrOgAAACR6xu7SSy8NyF1n02fH6ksTGAMAACAFArtmzZrlWkyxceNG2bBhg7z++uvx7BsAAAASGdg988wzIbe/8sorZrbu5ptvjrVKAAAAOBHYhXP55ZfLfffdJ15CupO8y9xUH+lO3PcZdEtZurTptv7EcizpTtw3JvQnNdOdxG3xxFdffWXuvwMAAECKzNhde+21ubbt2rVLli5dagI7//LZs2dLKiPdSfRlbqiPdCfOtEl/3Nem2/oTzbGkO3HfmNCfzJRMdxJzYFeuXLmQ2+rVqxevPgEAACAZgd1rr72Wn3YAAADghnvsLMtKdD8AAACQjMCuUaNGMmPGDMnJibyiY/369XLPPffI2LFjC9ovAAAAJOJS7PPPPy8DBw6Uvn37yhVXXCEtW7aUKlWqSIkSJWT//v2yZs0aWbRokfzyyy/msWIa3HkB6U7yLnNTfaQ7cd9n0C1l6dKm2/oTy7GkO3HfmNCf1Ex3UjTaHHXLly83wdvMmTNl+vTp5sN69OhRqVixojRv3lx69uxpkhOXL18+8b0GAABAwRZPtG3b1rzSBelOoi9zQ32kO3GmTfrjvjbd1p9ojiXdifvGhP6kZrqTuCUoBgAAgLMI7AAAADyCwA4AAMAjCOwAAADS9ckT6YR0J3mXuak+0p247zPolrJ0adNt/YnlWNKduG9M6E9qpjuJecbusssukxEjRuTarvnstAwAAAApMmO3cOFCWb16taxatcrksytdurTZrk+l+Prrr8VLSHcSfZkb6iPdiTNt0h/3tem2/kRzLOlO3Dcm9CczfdKdfPnll7Jz50654IILZPPmzfHvFQAAAJIT2FWuXNnMzjVu3FjOP/98M4uXX5MnT5aaNWuax5O1bt1ali1bFnZffWTZddddZ/YvVKiQTJo0qcB1AgAApG1gpwGVKl68uLzzzjvywAMPSMeOHeXFF1+MuXF9PFn//v1l+PDhsnLlSmnatKl06NBBdu/eHXL/7OxsqV27towdO1aysrLiUicAAEDaBnaWZQX8PGTIEHOv3dNPPx1z4xMnTpTevXvLbbfdJg0bNpSpU6dKqVKlZNq0aSH319nB8ePHS/fu3U1gGY86AQAA0nbxxKZNmyQzM/DGQL08Wr9+fVm+fHnU9ehiixUrVsigQYN82woXLizt27eXJUuWxNqtAtV5/Phx87IdOnTI/Em6k7zL3FQf6U7c9xl0S1m6tOm2/sRyLOlO3Dcm9Cc1053EHNjpSstQGjVqZF7R2rt3r5w8eVIqVaoUsF1/XrduXazdKlCdY8aMCZnCJdVteHaWWSka6oMXvD2/ZW6rD0BqWjt8WkL/bklkvQXpDxBvJCgWMTN8el+e/4xdtWrVUj7dSaTyeLfn9vqcKEuXNumP+9p0W3+caJP+uK/NdO9PdpLSnTgW2FWsWFGKFCkiu3btCtiuP4dbGJGoOvV+vXD37AEAAKQKx54Vm5GRIS1atJD58+f7tp06dcr83KZNG9fUCQAAkCocvRSrlz979eolLVu2lFatWpm8dEeOHDErWlXPnj2latWq5h44e3HEmjVrfP+/fft2+fHHH6VMmTK+rN551QkAAOBVjgZ23bp1kz179siwYcPMkyyaNWsm8+bN8y1+2Lp1q1nVatuxY4c0b97c9/OECRPMq127dr4kyXnVCQAA4FWOL57o16+feYUS/EQLfZpEcB69WOuMRaqnO0lGe26vz4mydGmT/rivTbf1x4k26Y/72qQ/ktR0J47dYwcAAACPzdi5GelOvFOfE2Xp0ib9cV+bbuuPE23SH/e1me79yU5SuhNm7AAAADyCwA4AAMAjCOwAAAA8gsAOAADAI1g8EQHpTlK/PifK0qVN+uO+Nt3WHyfapD/ua5P+kO4EAAAA+cCMXQSkO/FOfU6UpUub9Md9bbqtP060SX/c12a69yebdCcAAACIBYEdAACARxDYAQAAeASBHQAAgEeweCIC0p2kfn1OlKVLm/THfW26rT9OtEl/3Ncm/RHSnQAAACB2zNhFQLoT79TnRFm6tEl/3Nem2/rjRJv0x31tpnt/skl3AgAAgFgQ2AEAAHgEgR0AAIBHENgBAAB4BIsnIiDdSerX50RZurRJf9zXptv640Sb9Md9bdIfId0JAAAAYseMXQSkO/FOfU6UpUub9Md9bbqtP060SX/c12a69yebdCcAAACIBYEdAACARxDYAQAAeASBHQAAgEeweCIC0p2kfn1OlKVLm/THfW26rT9OtEl/3Ncm/RHSnQAAACB2zNhFQLoT79TnRFm6tEl/3Nem2/rjRJv0x31tpnt/skl3AgAAgFgQ2AEAAHgEgR0AAIBHENgBAAB4BIsnIiDdSerX50RZurRJf9zXptv640Sb9Md9bdIfId0JAAAAYseMXQSkO/FOfU6UpUub9Md9bbqtP060SX/c12a69yebdCcAAABIucBu8uTJUrNmTSlRooS0bt1ali1bFnH/WbNmSf369c3+jRs3lrlz5waUW5Ylw4YNk8qVK0vJkiWlffv2sn79+gS/CwAAgDQP7GbOnCn9+/eX4cOHy8qVK6Vp06bSoUMH2b17d8j9Fy9eLDfeeKPccccdsmrVKunSpYt5/fzzz759xo0bJ88995xMnTpVli5dKqVLlzZ1Hjt2LInvDAAAIM0Cu4kTJ0rv3r3ltttuk4YNG5pgrFSpUjJt2rSQ+z/77LPSsWNHeeSRR6RBgwYyatQoOe+88+SFF17wzdZNmjRJhgwZIp07d5YmTZrIm2++KTt27JA5c+Yk+d0BAACkyeKJnJwcWbFihQwaNMi3rXDhwubS6ZIlS0Ieo9t1hs+fzsbZQdumTZtk586dpg5buXLlzCVePbZ79+656jx+/Lh52Q4ePGj+/O2v7b50J38e3h/x5sdI5ckui1Qe7/bcXp8TZenSJv1xX5tu648TbdIf97VJf8SUHTuR45uA8mxgt3fvXjl58qRUqlQpYLv+vG7dupDHaNAWan/dbpfb28LtE2zMmDEyYsSIXNtvnzM5xncEAAAQ3l9//WUmnBKFdCciZsbQfxbw1KlTsm/fPjnjjDOkUKFCkooOHTok1apVkz/++EPKli3rdHfSEmPgPMbAeYyB8xgDd9CrgdWrV5cKFSoktB1HA7uKFStKkSJFZNeuXQHb9eesrKyQx+j2SPvbf+o2XRXrv0+zZs1C1lm8eHHz8nf66aeLF+gvMb/IzmIMnMcYOI8xcB5j4A56y1lC6xcHZWRkSIsWLWT+/PkBs2X6c5s2bUIeo9v991dffPGFb/9atWqZ4M5/H/3Xiq6ODVcnAACAFzh+KVYvgfbq1UtatmwprVq1Mitajxw5YlbJqp49e0rVqlXNfXDqgQcekHbt2snTTz8tnTp1khkzZsjy5cvlpZdeMuV66fTBBx+U0aNHS926dU2gN3ToUKlSpYpJiwIAAOBVjgd23bp1kz179piEwrq4QS+Xzps3z7f4YevWrQHTlhdeeKG88847Jp3JY489ZoI3XRF77rnn+vYZMGCACQ779OkjBw4ckLZt25o6NaFxutBLy5obMPgSM5KHMXAeY+A8xsB5jEF6jUMhK9HrbgEAAJAeCYoBAAAQHwR2AAAAHkFgBwAA4BEEdgAAAB5BYJciJk+eLDVr1jQre/W5t8uWLYu4/6xZs6R+/fpm/8aNG8vcuXMDynXNjK5E1iTOJUuWNM/WXb9+fYLfRfqMwcsvvywXX3yxlC9f3rz0/Abvzxgk53fBpqmRNB1ScNojxiHxY6DZCe69915zjnVFYL169XL9nZTfcU1XsZ4vTSV2zjnnmM+4PoXioYcekmPHjhWoznT2zTffyNVXX21SqenfK/bz6iNZuHChnHfeeeZ34Oyzz5bXX3891z5xGQNdFQt3mzFjhpWRkWFNmzbN+uWXX6zevXtbp59+urVr166Q+3/33XdWkSJFrHHjxllr1qyxhgwZYhUrVsxavXq1b5+xY8da5cqVs+bMmWP997//ta655hqrVq1a1tGjR5P4zrw7BjfddJM1efJka9WqVdbatWutW2+91Zzvbdu2+fZhDBI/DrZNmzZZVatWtS6++GKrc+fOAWWMQ2LH4Pjx41bLli2tq666ylq0aJEZi4ULF1o//vhjvutMd7Ger+nTp1vFixc3f+r5/+yzz6zKlStbDz30UL7rTHdz5861Bg8ebM2ePVszi1gffPBBxP03btxolSpVyurfv7/5Xn7++efN9/S8efPiPgYEdimgVatW1r333uv7+eTJk1aVKlWsMWPGhNz/hhtusDp16hSwrXXr1tZdd91l/v/UqVNWVlaWNX78eF/5gQMHzC/+u+++m7D3kU5jEOzEiRPWaaedZr3xxhvmZ8YgeeOg5/7CCy+0XnnlFatXr14BgR3jkPgxmDJlilW7dm0rJycnbnWmu1jPl+572WWXBWzTAOOiiy7Kd534/6IJ7AYMGGA1atQoYFu3bt2sDh06xH0MuBTrcjk5ObJixQpzecimCZv15yVLloQ8Rrf77686dOjg23/Tpk0mGbT/PuXKlTPTvuHqTGf5GYNg2dnZ8vfff/se/swYJG8cRo4cKWeeeabccccducoYh8SPwUcffWQe56iXYjXxvCaTf/LJJ+XkyZP5rjOd5ed8aWJ/Pca+rLdx40ZzKfyqq67Kd52ITV7fy/EcA8efPIHI9u7da/4CtJ/EYdOf161bF/IY/aIKtb9ut8vtbeH2QcHGINjAgQPNvRj2Ly1jkJxxWLRokbz66qvy448/hixnHBI/BhpEfPXVV3LzzTebYGLDhg3St29f8w8dzcIfj9+vdJKf83XTTTeZ4/QpTDrBdOLECbn77rvN05vyWydiE+57WZ9lf/ToUdm/f3/cxoAZOyDBxo4da27c/+CDD9LqsXZOO3z4sPTo0cMsZKlYsaLT3Ulbp06dMjOm+jzvFi1amMdIDh48WKZOnep019KG3rSvs6QvvviirFy5UmbPni2ffvqpjBo1yumuIQGYsXM5/UIqUqSI7Nq1K2C7/pyVlRXyGN0eaX/7T92mq9T899Fn9aLgY2CbMGGCCey+/PJLadKkiW87Y5D4cfj9999l8+bNZuWaf5ChihYtKr/++ivjkITfBT2vxYoVM8fZGjRoYGYw9PJTQX6/0lF+ztfQoUPNP3LuvPNO87NmSrCfp65BNmOQeOG+l8uWLWtWKuv5j9cYMGPnchkZGeZfufPnzw/4ctKf9b6VUHS7//7qiy++8O1fq1Yt80Hx30eng5cuXRq2znSWnzFQ48aNM/8injdvnrRs2TKgjDFI/Dhoup/Vq1eby7D265prrpFLL73U/L+mfGAcEv+7cNFFF5nLr3ZQrX777TcT8Gl9+f39Slf5OV96j6/er+XPDrT10ixjkHh5fS/HdQxiWmoBR+gSaF2l9/rrr5tl0n369DFLoHfu3GnKe/ToYT366KMB6U6KFi1qTZgwwaTaGD58eMh0J1rHhx9+aP30009mpSApHuI3Bnp+ddn6+++/b/3555++1+HDhwP2YQwSOw7BglfFKsYhsWOwdetWsyK8X79+1q+//mp98skn1plnnmmNHj066jpRsDHQ7wAdA13prWk3Pv/8c6tOnTomg0K0dSKQ/l2u6az0paHUxIkTzf9v2bLFlOv513EITnfyyCOPmO9lTYcVKt1JPMaAwC5FaM6b6tWrm2BBl0R///33vrJ27dqZLyx/7733nlWvXj2zvy6x/vTTTwPKNc3D0KFDrUqVKpkP0uWXX27+0kV8xqBGjRrmlz34pX/B2hiD5Pwu5BXYMQ6JH4PFixeblEt6fjX1yRNPPGHS0ERbJwo2Bn///bf1+OOPm2CuRIkSVrVq1ay+ffta+/fvj7pOBFqwYEHIv+Pt865/6jgEH9OsWTNzfvX34LXXXguqNT5jUEj/E5+JRgAAADiJe+wAAAA8gsAOAADAIwjsAAAAPILADgAAwCMI7AAAADyCwA4AAMAjCOwAAAA8gsAOACJ49dVX5corr0x4O/roOX0+rf+jtwAgVgR2ABDGsWPHzAPUhw8fnvC2OnbsKMWKFZPp06cnvC0A3kVgBwBhvP/++1K2bFnzIPtkuPXWW+W5555LSlsAvInADoDn7dmzR7KysuTJJ5/0bVu8eLFkZGTI/Pnzwx43Y8YMufrqqwO2XXLJJfLggw8GbOvSpYsJymw1a9aU0aNHS8+ePaVMmTJSo0YN+eijj0w/OnfubLY1adJEli9fHlCPtqXbfv/99zi8awDpiMAOgOdlZmbKtGnT5PHHHzeB0+HDh6VHjx7Sr18/ufzyy8Met2jRImnZsmW+2nzmmWfMTN+qVaukU6dOpj0N9G655RZZuXKl1KlTx/zs/7ju6tWrS6VKleTbb7/NV5sAQGAHIC1cddVV0rt3b7n55pvl7rvvltKlS8uYMWPC7n/gwAE5ePCgVKlSJd/t3XXXXVK3bl0ZNmyYHDp0SM4//3zp2rWr1KtXTwYOHChr166VXbt2BRyn7W3ZsiVfbQIAgR2AtDFhwgQ5ceKEzJo1yyxSKF68eNh9jx49av4sUaJEvtrSS602nYVTjRs3zrVt9+7dAceVLFlSsrOz89UmABDYAUgbeu/ajh07TEqRzZs3R9z3jDPOkEKFCsn+/fvzrPfkyZO5tukKV5vWE25bcHqTffv2mUvHAJAfBHYA0kJOTo65v61bt24yatQoufPOO3PNlvnThRUNGzaUNWvW5CoLvny6cePGuKVX0eCzefPmcakPQPohsAOQFgYPHmzumdN0Inp/m97ndvvtt0c8pkOHDmYBRbAPP/xQZs+ebYKwJ554wgR/el/c9u3bC9TH77//3lwebtOmTYHqAZC+COwAeN7ChQtl0qRJ8tZbb5m8dIULFzb/r6tPp0yZEva4O+64Q+bOnWsCQn+6ynXcuHFmRu+bb76RF198UZYtW2bqLIh3333XLO4oVapUgeoBkL4KWf5r7QEAAXQV63nnnSeDBg3y5bHTR39poBhPe/fulXPOOcekY6lVq1Zc6waQPpixA4AIxo8fbxIKJ5ou5tCZP4I6AAXBjB0AxCBRM3YAEA8EdgAAAB7BpVgAAACPILADAADwCAI7AAAAjyCwAwAA8AgCOwAAAI8gsAMAAPAIAjsAAACPILADAADwCAI7AAAA8Yb/B8hQy9vwHaPdAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "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()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5f178a5-491c-4c8e-a713-0cbd90558d1b",
   "metadata": {},
   "source": [
    "Run the simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "34682a6d-eeeb-4ead-b53d-884ab0cd9358",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:07:56 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'initial design'</span> with task_id                        \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-8becd889-1305-4968-9486-4c0a4e5b30ae'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:07:56 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'initial design'\u001b[0m with task_id                        \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-8becd889-1305-4968-9486-4c0a4e5b30ae'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-8becd889-1305-4968-9486-4c0a4e5b30ae\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-8becd889-13</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-8becd889-1305-4968-9486-4c0a4e5b30ae\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">05-4968-9486-4c0a4e5b30ae'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=25649;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8becd889-1305-4968-9486-4c0a4e5b30ae\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=473688;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8becd889-1305-4968-9486-4c0a4e5b30ae\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=25649;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8becd889-1305-4968-9486-4c0a4e5b30ae\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=540256;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8becd889-1305-4968-9486-4c0a4e5b30ae\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=25649;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8becd889-1305-4968-9486-4c0a4e5b30ae\u001b\\\u001b[32m-8becd889-13\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=25649;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8becd889-1305-4968-9486-4c0a4e5b30ae\u001b\\\u001b[32m05-4968-9486-4c0a4e5b30ae'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=623866;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4f147fa798634fb7ae2e866f6862f1f5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:07:58 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:07:58 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:07:59 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:07:59 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "054b6a1224974673a248d6894bd99565",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:08:01 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:08:01 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data0 = web.run(simulation=sim0, task_name=\"initial design\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45770f69-455c-46c1-a1d0-c5bc8b1b8a6f",
   "metadata": {},
   "source": [
    "### Result Visualization\n",
    "\n",
    "After the simulation is done, we can extract the coupling efficiency from the mode monitor data. In addition, we also calculate two important metrics: the maximum coupling efficiency and the 1dB bandwidth. The maximal coupling efficiency is about 2.7dB and the 1dB bandwidth is about 36 nm."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8e1745f9-069d-4bd4-a8d2-b37ae22a08c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The 1dB bandwidth is 36.0 nm\n",
      "The maximum coupling efficiency is -2.74 dB.\n"
     ]
    }
   ],
   "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.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7739eae-ff2e-4d10-9d6c-06be15d56586",
   "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 efficiency of our coupling over the wavelength range from 1500 to 1600 nm. \n",
    "\n",
    "To do this, we need to express our objective as a function of our parameters returning a single float value to maximize. This function will involve constructing, running, and postprocessing our simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5018afae-0d1a-470d-85e0-a6f86fdb3460",
   "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"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4ac51820-24c9-4eb9-8905-509c4e00b97a",
   "metadata": {},
   "outputs": [],
   "source": [
    "dJ = ag.value_and_grad(J)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87ac2cfe-49fa-4284-8b9c-00cc2cab0f09",
   "metadata": {},
   "source": [
    "Before running the optimization, we can check the value and gradient of the initial design to ensure the gradient tracking is working properly. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0488d6bb-bab0-4eaf-87a3-ea69410b25ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-ec6fce80-f88a-4043-a7fd-6b3fd93b9653'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-ec6fce80-f88a-4043-a7fd-6b3fd93b9653'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-ec6fce80-f88a-4043-a7fd-6b3fd93b9653\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-ec6fce80-f8</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-ec6fce80-f88a-4043-a7fd-6b3fd93b9653\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">8a-4043-a7fd-6b3fd93b9653'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=707817;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ec6fce80-f88a-4043-a7fd-6b3fd93b9653\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=721572;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ec6fce80-f88a-4043-a7fd-6b3fd93b9653\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=707817;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ec6fce80-f88a-4043-a7fd-6b3fd93b9653\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=813586;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ec6fce80-f88a-4043-a7fd-6b3fd93b9653\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=707817;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ec6fce80-f88a-4043-a7fd-6b3fd93b9653\u001b\\\u001b[32m-ec6fce80-f8\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=707817;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ec6fce80-f88a-4043-a7fd-6b3fd93b9653\u001b\\\u001b[32m8a-4043-a7fd-6b3fd93b9653'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=796056;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c86b6cdfef52449db767c86e590ea08e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:08:03 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:08:03 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:08:04 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:08:04 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "309bb449bd944387b83d84980853362b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:08:07 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:08:07 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bb4a587ca7164208bf960e600375b4de",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:08:10 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:08:10 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:08:11 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:08:11 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fd86b797c8be4dfab0ee704702ac9678",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:08:12 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:08:12 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "205fdb730d0f4aceb8dee45b570c1b7d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:08:20 CEST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.000238</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                 </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:08:20 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.000238\u001b[0m\u001b[31m is greater\u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running  \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more   \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31maccurate results.                                                 \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.33899048904782114\n",
      "[-1.20294606e-02  6.20395071e-01  2.63084230e-02  5.74989230e-01\n",
      " -1.92349926e-03  1.27861139e-01 -2.37407992e-03 -2.28284773e-02\n",
      "  4.67748750e-04  5.72871164e-02  1.12770140e-02  5.43094435e-02\n",
      "  1.48670372e-02 -2.38293465e-02  3.72081810e-03 -7.92977213e-02\n",
      "  7.49521932e-03 -7.13928082e-02  9.91869157e-04 -8.54672185e-02\n",
      "  4.29808844e-03 -7.79422715e-02 -2.02751861e-03 -7.15637766e-02\n",
      "  2.16616123e-04 -5.00320444e-02 -4.06825758e-04 -3.71424911e-02\n",
      " -6.17026815e-04 -2.52752346e-02 -5.52148415e-04 -1.46075272e-02]\n",
      "CPU times: user 3.75 s, sys: 758 ms, total: 4.51 s\n",
      "Wall time: 21.3 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "val, grad = dJ(params0)\n",
    "print(val)\n",
    "print(grad)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf614232-217d-4e77-847c-23a426960147",
   "metadata": {},
   "source": [
    "We will use the Adam optimizer to adjust the parameters for a number of iterations until we achieve a good performance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "24196f53-3882-4b10-a8dd-e7af91cf3822",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:08:22 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-6708e8cc-adc7-4a9b-bdf8-07231204de2a'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:08:22 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-6708e8cc-adc7-4a9b-bdf8-07231204de2a'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-6708e8cc-adc7-4a9b-bdf8-07231204de2a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-6708e8cc-ad</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-6708e8cc-adc7-4a9b-bdf8-07231204de2a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">c7-4a9b-bdf8-07231204de2a'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=884200;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6708e8cc-adc7-4a9b-bdf8-07231204de2a\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=701941;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6708e8cc-adc7-4a9b-bdf8-07231204de2a\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=884200;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6708e8cc-adc7-4a9b-bdf8-07231204de2a\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=204881;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6708e8cc-adc7-4a9b-bdf8-07231204de2a\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=884200;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6708e8cc-adc7-4a9b-bdf8-07231204de2a\u001b\\\u001b[32m-6708e8cc-ad\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=884200;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6708e8cc-adc7-4a9b-bdf8-07231204de2a\u001b\\\u001b[32mc7-4a9b-bdf8-07231204de2a'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=618470;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6e5d662168be475982766b2dd73dabd4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:08:24 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:08:24 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:08:25 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:08:25 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8725a9a1b0f449fcb4a8969470bd6bd4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:08:29 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:08:29 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a3085e5faae04ff08685c687ff6def41",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:08:31 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:08:31 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:08:33 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:08:33 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d13f0333d6364e3b8bbcc723a076a781",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:08:34 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:08:34 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f52ec30b3608437ba3fa9d6fe74d1760",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:08:42 CEST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.000238</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                 </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:08:42 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.000238\u001b[0m\u001b[31m is greater\u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running  \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more   \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31maccurate results.                                                 \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 1\n",
      "\tJ = 3.390e-01\n",
      "\tgrad_norm = 8.8039e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:08:44 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-067bf589-3a48-40bb-bf4f-cd5a0f7a6e99'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:08:44 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-067bf589-3a48-40bb-bf4f-cd5a0f7a6e99'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-067bf589-3a48-40bb-bf4f-cd5a0f7a6e99\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-067bf589-3a</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-067bf589-3a48-40bb-bf4f-cd5a0f7a6e99\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">48-40bb-bf4f-cd5a0f7a6e99'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=67686;https://tidy3d.simulation.cloud/workbench?taskId=fdve-067bf589-3a48-40bb-bf4f-cd5a0f7a6e99\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=689566;https://tidy3d.simulation.cloud/workbench?taskId=fdve-067bf589-3a48-40bb-bf4f-cd5a0f7a6e99\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=67686;https://tidy3d.simulation.cloud/workbench?taskId=fdve-067bf589-3a48-40bb-bf4f-cd5a0f7a6e99\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=214673;https://tidy3d.simulation.cloud/workbench?taskId=fdve-067bf589-3a48-40bb-bf4f-cd5a0f7a6e99\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=67686;https://tidy3d.simulation.cloud/workbench?taskId=fdve-067bf589-3a48-40bb-bf4f-cd5a0f7a6e99\u001b\\\u001b[32m-067bf589-3a\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=67686;https://tidy3d.simulation.cloud/workbench?taskId=fdve-067bf589-3a48-40bb-bf4f-cd5a0f7a6e99\u001b\\\u001b[32m48-40bb-bf4f-cd5a0f7a6e99'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=545360;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "63604306473a4f66b595b002833822e2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:08:46 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:08:46 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:08:47 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:08:47 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
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    },
    {
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:08:51 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:08:51 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0ceb829035d14773b7f892c09f8a0443",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:08:53 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:08:53 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:08:55 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:08:55 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "version_minor": 0
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "a755af8a4f11498cae479431de07572c",
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      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 2\n",
      "\tJ = 3.173e-01\n",
      "\tgrad_norm = 9.1518e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:09:06 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-30d38546-c09d-46ce-a564-55c1aca9e8f3'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:09:06 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-30d38546-c09d-46ce-a564-55c1aca9e8f3'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-30d38546-c09d-46ce-a564-55c1aca9e8f3\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-30d38546-c0</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-30d38546-c09d-46ce-a564-55c1aca9e8f3\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">9d-46ce-a564-55c1aca9e8f3'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=211220;https://tidy3d.simulation.cloud/workbench?taskId=fdve-30d38546-c09d-46ce-a564-55c1aca9e8f3\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=760914;https://tidy3d.simulation.cloud/workbench?taskId=fdve-30d38546-c09d-46ce-a564-55c1aca9e8f3\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=211220;https://tidy3d.simulation.cloud/workbench?taskId=fdve-30d38546-c09d-46ce-a564-55c1aca9e8f3\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=33321;https://tidy3d.simulation.cloud/workbench?taskId=fdve-30d38546-c09d-46ce-a564-55c1aca9e8f3\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=211220;https://tidy3d.simulation.cloud/workbench?taskId=fdve-30d38546-c09d-46ce-a564-55c1aca9e8f3\u001b\\\u001b[32m-30d38546-c0\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=211220;https://tidy3d.simulation.cloud/workbench?taskId=fdve-30d38546-c09d-46ce-a564-55c1aca9e8f3\u001b\\\u001b[32m9d-46ce-a564-55c1aca9e8f3'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=819500;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "47dc7917474e45e6b3c8a8c15de496f2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:09:08 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:09:08 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:09:09 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:09:09 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:09:12 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:09:12 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "version_minor": 0
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:09:14 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:09:14 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:09:16 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:09:16 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "Output()"
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     },
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     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:09:30 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:09:30 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
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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>\n"
      ],
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     },
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       "Output()"
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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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 3\n",
      "\tJ = 3.791e-01\n",
      "\tgrad_norm = 5.8029e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:09:41 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-f3a43c6f-a9ea-4fdc-ba31-b8a373e601d3'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:09:41 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-f3a43c6f-a9ea-4fdc-ba31-b8a373e601d3'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-f3a43c6f-a9ea-4fdc-ba31-b8a373e601d3\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3a43c6f-a9</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3a43c6f-a9ea-4fdc-ba31-b8a373e601d3\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">ea-4fdc-ba31-b8a373e601d3'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=313184;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3a43c6f-a9ea-4fdc-ba31-b8a373e601d3\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=62999;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3a43c6f-a9ea-4fdc-ba31-b8a373e601d3\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=313184;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3a43c6f-a9ea-4fdc-ba31-b8a373e601d3\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=272681;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3a43c6f-a9ea-4fdc-ba31-b8a373e601d3\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=313184;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3a43c6f-a9ea-4fdc-ba31-b8a373e601d3\u001b\\\u001b[32m-f3a43c6f-a9\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=313184;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3a43c6f-a9ea-4fdc-ba31-b8a373e601d3\u001b\\\u001b[32mea-4fdc-ba31-b8a373e601d3'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=7730;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b610173a466842649be46afd41f65a11",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:09:43 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:09:43 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:09:44 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:09:44 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c90e51887b8743d5b31b6dc6d7a0196c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:10:04 CEST </span>status = preprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:10:04 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:10:11 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:10:11 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "771348b07869496a8f17e58cf35f1178",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:10:17 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">48</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:10:17 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m48\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:10:18 CEST </span>status = postprocess                                              \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:10:18 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4840c8e61a834eb28024595db623c9aa",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:10:20 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:10:20 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:10:22 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3a43c6f-a9ea-4fdc-ba31-b8a373e601d3\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3a43c6f-a9</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3a43c6f-a9ea-4fdc-ba31-b8a373e601d3\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">ea-4fdc-ba31-b8a373e601d3'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:10:22 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=25676;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3a43c6f-a9ea-4fdc-ba31-b8a373e601d3\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=991900;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3a43c6f-a9ea-4fdc-ba31-b8a373e601d3\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=25676;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3a43c6f-a9ea-4fdc-ba31-b8a373e601d3\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=762318;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3a43c6f-a9ea-4fdc-ba31-b8a373e601d3\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=25676;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3a43c6f-a9ea-4fdc-ba31-b8a373e601d3\u001b\\\u001b[4;34m-f3a43c6f-a9\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=25676;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3a43c6f-a9ea-4fdc-ba31-b8a373e601d3\u001b\\\u001b[4;34mea-4fdc-ba31-b8a373e601d3'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e4ad2dfa5c6d4c54b7558205912ba6a3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:10:26 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:10:26 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:10:28 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:10:28 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:10:30 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:10:30 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f0fe2e8cb8434bfab7e73a8b896351cb",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:10:49 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:10:49 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "73785070b2de4230bd5cd1b7ad9c467f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 4\n",
      "\tJ = 3.861e-01\n",
      "\tgrad_norm = 7.1897e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:11:00 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-333e6645-0f22-4acd-9b01-e360172b3e0d'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:11:00 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-333e6645-0f22-4acd-9b01-e360172b3e0d'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-333e6645-0f22-4acd-9b01-e360172b3e0d\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-333e6645-0f</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-333e6645-0f22-4acd-9b01-e360172b3e0d\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">22-4acd-9b01-e360172b3e0d'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=557808;https://tidy3d.simulation.cloud/workbench?taskId=fdve-333e6645-0f22-4acd-9b01-e360172b3e0d\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=200249;https://tidy3d.simulation.cloud/workbench?taskId=fdve-333e6645-0f22-4acd-9b01-e360172b3e0d\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=557808;https://tidy3d.simulation.cloud/workbench?taskId=fdve-333e6645-0f22-4acd-9b01-e360172b3e0d\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=91655;https://tidy3d.simulation.cloud/workbench?taskId=fdve-333e6645-0f22-4acd-9b01-e360172b3e0d\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=557808;https://tidy3d.simulation.cloud/workbench?taskId=fdve-333e6645-0f22-4acd-9b01-e360172b3e0d\u001b\\\u001b[32m-333e6645-0f\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=557808;https://tidy3d.simulation.cloud/workbench?taskId=fdve-333e6645-0f22-4acd-9b01-e360172b3e0d\u001b\\\u001b[32m22-4acd-9b01-e360172b3e0d'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=418920;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "87e6b7f4b3e94ee9930ccbcd6535591e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:11:02 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:11:02 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:11:03 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:11:03 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "504e47189488427380c33a5aaca98058",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:11:10 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:11:10 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0ade6df139074fb5b4dcad76673415ac",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:11:15 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">48</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:11:15 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m48\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d985b1601c4f48588ea2204faef44658",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:11:18 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:11:18 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:11:20 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-333e6645-0f22-4acd-9b01-e360172b3e0d\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-333e6645-0f</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-333e6645-0f22-4acd-9b01-e360172b3e0d\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">22-4acd-9b01-e360172b3e0d'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:11:20 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=408578;https://tidy3d.simulation.cloud/workbench?taskId=fdve-333e6645-0f22-4acd-9b01-e360172b3e0d\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=13662;https://tidy3d.simulation.cloud/workbench?taskId=fdve-333e6645-0f22-4acd-9b01-e360172b3e0d\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=408578;https://tidy3d.simulation.cloud/workbench?taskId=fdve-333e6645-0f22-4acd-9b01-e360172b3e0d\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=358623;https://tidy3d.simulation.cloud/workbench?taskId=fdve-333e6645-0f22-4acd-9b01-e360172b3e0d\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=408578;https://tidy3d.simulation.cloud/workbench?taskId=fdve-333e6645-0f22-4acd-9b01-e360172b3e0d\u001b\\\u001b[4;34m-333e6645-0f\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=408578;https://tidy3d.simulation.cloud/workbench?taskId=fdve-333e6645-0f22-4acd-9b01-e360172b3e0d\u001b\\\u001b[4;34m22-4acd-9b01-e360172b3e0d'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
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       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:11:23 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:11:23 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5981e90cd7c94d9f8594a32e64eb2bfb",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:11:26 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:11:26 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:11:27 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:11:27 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a4645e3f0d2e4339ac0aae2dbe922ad9",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:11:47 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:11:47 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2be5592fc7cc4f67aa460d4969cd61dc",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 5\n",
      "\tJ = 3.891e-01\n",
      "\tgrad_norm = 5.8287e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:12:01 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-86d3efb0-b0f9-46b2-bb74-99f8eda965c5'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:12:01 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-86d3efb0-b0f9-46b2-bb74-99f8eda965c5'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-86d3efb0-b0f9-46b2-bb74-99f8eda965c5\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-86d3efb0-b0</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-86d3efb0-b0f9-46b2-bb74-99f8eda965c5\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">f9-46b2-bb74-99f8eda965c5'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=780197;https://tidy3d.simulation.cloud/workbench?taskId=fdve-86d3efb0-b0f9-46b2-bb74-99f8eda965c5\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=722986;https://tidy3d.simulation.cloud/workbench?taskId=fdve-86d3efb0-b0f9-46b2-bb74-99f8eda965c5\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=780197;https://tidy3d.simulation.cloud/workbench?taskId=fdve-86d3efb0-b0f9-46b2-bb74-99f8eda965c5\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=629389;https://tidy3d.simulation.cloud/workbench?taskId=fdve-86d3efb0-b0f9-46b2-bb74-99f8eda965c5\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=780197;https://tidy3d.simulation.cloud/workbench?taskId=fdve-86d3efb0-b0f9-46b2-bb74-99f8eda965c5\u001b\\\u001b[32m-86d3efb0-b0\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=780197;https://tidy3d.simulation.cloud/workbench?taskId=fdve-86d3efb0-b0f9-46b2-bb74-99f8eda965c5\u001b\\\u001b[32mf9-46b2-bb74-99f8eda965c5'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=469311;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0b9a9e182b8345b4a25b5a8c7a51e41b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:12:03 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:12:03 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:12:04 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:12:04 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0bd64e9e21354728956a3c0b2d663d5c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:12:11 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:12:11 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b5b6a81a3e994f76ae28ba7940fc1c9a",
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       "version_minor": 0
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:12:16 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">48</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:12:16 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m48\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:12:17 CEST </span>status = postprocess                                              \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:12:17 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      },
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:12:19 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:12:19 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:12:21 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-86d3efb0-b0f9-46b2-bb74-99f8eda965c5\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-86d3efb0-b0</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-86d3efb0-b0f9-46b2-bb74-99f8eda965c5\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">f9-46b2-bb74-99f8eda965c5'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:12:21 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=951165;https://tidy3d.simulation.cloud/workbench?taskId=fdve-86d3efb0-b0f9-46b2-bb74-99f8eda965c5\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=513466;https://tidy3d.simulation.cloud/workbench?taskId=fdve-86d3efb0-b0f9-46b2-bb74-99f8eda965c5\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=951165;https://tidy3d.simulation.cloud/workbench?taskId=fdve-86d3efb0-b0f9-46b2-bb74-99f8eda965c5\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=357956;https://tidy3d.simulation.cloud/workbench?taskId=fdve-86d3efb0-b0f9-46b2-bb74-99f8eda965c5\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=951165;https://tidy3d.simulation.cloud/workbench?taskId=fdve-86d3efb0-b0f9-46b2-bb74-99f8eda965c5\u001b\\\u001b[4;34m-86d3efb0-b0\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=951165;https://tidy3d.simulation.cloud/workbench?taskId=fdve-86d3efb0-b0f9-46b2-bb74-99f8eda965c5\u001b\\\u001b[4;34mf9-46b2-bb74-99f8eda965c5'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2d0363c45de04461af8d2bc876560d2f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:12:25 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:12:25 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e9c1eb8fb7294e9793a4fa85a995a156",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:12:27 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:12:27 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:12:28 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:12:28 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "562d1b982f324fecbded2b920e7106d7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:12:44 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:12:44 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6cd1e1d85fa04fa99648e31e74e43e67",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 6\n",
      "\tJ = 3.916e-01\n",
      "\tgrad_norm = 6.5996e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:12:54 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-9e6bc19b-eedd-406f-9097-b0fe8a7bcab3'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:12:54 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-9e6bc19b-eedd-406f-9097-b0fe8a7bcab3'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-9e6bc19b-eedd-406f-9097-b0fe8a7bcab3\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e6bc19b-ee</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e6bc19b-eedd-406f-9097-b0fe8a7bcab3\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">dd-406f-9097-b0fe8a7bcab3'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=443088;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e6bc19b-eedd-406f-9097-b0fe8a7bcab3\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=104954;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e6bc19b-eedd-406f-9097-b0fe8a7bcab3\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=443088;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e6bc19b-eedd-406f-9097-b0fe8a7bcab3\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=701100;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e6bc19b-eedd-406f-9097-b0fe8a7bcab3\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=443088;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e6bc19b-eedd-406f-9097-b0fe8a7bcab3\u001b\\\u001b[32m-9e6bc19b-ee\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=443088;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e6bc19b-eedd-406f-9097-b0fe8a7bcab3\u001b\\\u001b[32mdd-406f-9097-b0fe8a7bcab3'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=538498;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7bc89ad549c14ec39fb2f8761d7232b7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:12:56 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:12:56 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:12:57 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:12:57 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0add60817c5c46a0b4ca2f6b60072fbb",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:13:17 CEST </span>status = preprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:13:17 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:13:21 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:13:21 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:13:22 CEST </span>running solver                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:13:22 CEST\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9260802e09554ff3a9af9aaac5e12d14",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:13:28 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">48</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:13:28 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m48\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:13:33 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:13:33 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:13:35 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e6bc19b-eedd-406f-9097-b0fe8a7bcab3\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e6bc19b-ee</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e6bc19b-eedd-406f-9097-b0fe8a7bcab3\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">dd-406f-9097-b0fe8a7bcab3'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:13:35 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=957765;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e6bc19b-eedd-406f-9097-b0fe8a7bcab3\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=931524;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e6bc19b-eedd-406f-9097-b0fe8a7bcab3\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=957765;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e6bc19b-eedd-406f-9097-b0fe8a7bcab3\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=487567;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e6bc19b-eedd-406f-9097-b0fe8a7bcab3\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=957765;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e6bc19b-eedd-406f-9097-b0fe8a7bcab3\u001b\\\u001b[4;34m-9e6bc19b-ee\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=957765;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e6bc19b-eedd-406f-9097-b0fe8a7bcab3\u001b\\\u001b[4;34mdd-406f-9097-b0fe8a7bcab3'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:13:39 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:13:39 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "95786e38f4e24094a958e017aa351b3b",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:13:41 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:13:41 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:13:42 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:13:42 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
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       "version_minor": 0
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:13:56 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:13:56 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:14:04 CEST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.26e-05</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                 </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:14:04 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m1.26e-05\u001b[0m\u001b[31m is greater\u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running  \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more   \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31maccurate results.                                                 \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 7\n",
      "\tJ = 4.034e-01\n",
      "\tgrad_norm = 5.7994e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:14:06 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-7ef225a3-f952-49c0-8fb6-4b39d1a3ac44'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:14:06 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-7ef225a3-f952-49c0-8fb6-4b39d1a3ac44'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-7ef225a3-f952-49c0-8fb6-4b39d1a3ac44\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-7ef225a3-f9</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-7ef225a3-f952-49c0-8fb6-4b39d1a3ac44\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">52-49c0-8fb6-4b39d1a3ac44'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=818236;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7ef225a3-f952-49c0-8fb6-4b39d1a3ac44\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=735199;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7ef225a3-f952-49c0-8fb6-4b39d1a3ac44\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=818236;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7ef225a3-f952-49c0-8fb6-4b39d1a3ac44\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=470757;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7ef225a3-f952-49c0-8fb6-4b39d1a3ac44\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=818236;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7ef225a3-f952-49c0-8fb6-4b39d1a3ac44\u001b\\\u001b[32m-7ef225a3-f9\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=818236;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7ef225a3-f952-49c0-8fb6-4b39d1a3ac44\u001b\\\u001b[32m52-49c0-8fb6-4b39d1a3ac44'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=58211;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9df44df29ebd4e51a3c05ef5732a22f8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:14:08 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:14:08 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:14:09 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:14:09 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:14:19 CEST </span>status = preprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:14:19 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:14:23 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:14:23 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "03c7f05bbe0348f48162c09745a9f3f5",
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:14:30 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">48</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:14:30 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m48\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:14:32 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:14:32 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:14:34 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-7ef225a3-f952-49c0-8fb6-4b39d1a3ac44\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-7ef225a3-f9</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-7ef225a3-f952-49c0-8fb6-4b39d1a3ac44\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">52-49c0-8fb6-4b39d1a3ac44'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:14:34 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=663604;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7ef225a3-f952-49c0-8fb6-4b39d1a3ac44\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=164689;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7ef225a3-f952-49c0-8fb6-4b39d1a3ac44\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=663604;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7ef225a3-f952-49c0-8fb6-4b39d1a3ac44\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=979680;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7ef225a3-f952-49c0-8fb6-4b39d1a3ac44\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=663604;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7ef225a3-f952-49c0-8fb6-4b39d1a3ac44\u001b\\\u001b[4;34m-7ef225a3-f9\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=663604;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7ef225a3-f952-49c0-8fb6-4b39d1a3ac44\u001b\\\u001b[4;34m52-49c0-8fb6-4b39d1a3ac44'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
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     "output_type": "display_data"
    },
    {
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       "model_id": "d782fa7287f54aadbff68d0137bd027e",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:14:38 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:14:38 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "14584dd4fef343229ec169543ccfa6d2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:14:41 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:14:41 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:14:42 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:14:42 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "version_minor": 0
      },
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:14:57 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:14:57 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
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      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
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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\">13:15:05 CEST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.62e-05</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                 </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:15:05 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m1.62e-05\u001b[0m\u001b[31m is greater\u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running  \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more   \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31maccurate results.                                                 \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 8\n",
      "\tJ = 4.207e-01\n",
      "\tgrad_norm = 4.3965e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:15:07 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-0bf16566-f739-4e51-9147-214d7fd66323'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:15:07 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-0bf16566-f739-4e51-9147-214d7fd66323'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-0bf16566-f739-4e51-9147-214d7fd66323\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-0bf16566-f7</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-0bf16566-f739-4e51-9147-214d7fd66323\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">39-4e51-9147-214d7fd66323'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=721688;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0bf16566-f739-4e51-9147-214d7fd66323\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=36665;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0bf16566-f739-4e51-9147-214d7fd66323\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=721688;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0bf16566-f739-4e51-9147-214d7fd66323\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=477705;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0bf16566-f739-4e51-9147-214d7fd66323\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=721688;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0bf16566-f739-4e51-9147-214d7fd66323\u001b\\\u001b[32m-0bf16566-f7\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=721688;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0bf16566-f739-4e51-9147-214d7fd66323\u001b\\\u001b[32m39-4e51-9147-214d7fd66323'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=8508;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a4cd717187b64bf48a8af2a7b905ffdd",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:15:09 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:15:09 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:15:10 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:15:10 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "23371e6075d84ab0ad9a0550d305ea87",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:15:18 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:15:18 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d359819bc9b94ad6be59fb7ba5cc8b0f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:15:21 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">48</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:15:21 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m48\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:15:22 CEST </span>status = postprocess                                              \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:15:22 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "64f82ecd5dba4f62bb4d1349dc7f1c78",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:15:24 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:15:24 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:15:26 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-0bf16566-f739-4e51-9147-214d7fd66323\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-0bf16566-f7</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-0bf16566-f739-4e51-9147-214d7fd66323\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">39-4e51-9147-214d7fd66323'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:15:26 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=115572;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0bf16566-f739-4e51-9147-214d7fd66323\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=336258;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0bf16566-f739-4e51-9147-214d7fd66323\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=115572;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0bf16566-f739-4e51-9147-214d7fd66323\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=857903;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0bf16566-f739-4e51-9147-214d7fd66323\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=115572;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0bf16566-f739-4e51-9147-214d7fd66323\u001b\\\u001b[4;34m-0bf16566-f7\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=115572;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0bf16566-f739-4e51-9147-214d7fd66323\u001b\\\u001b[4;34m39-4e51-9147-214d7fd66323'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2f2f5460b2f641ad83dfa54009c26539",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:15:30 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:15:30 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "46ec21eb24f7430f88eec5dbe99974a1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:15:32 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:15:32 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:15:33 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:15:33 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "25fe45768c1549068d08d5367d3eabcb",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:15:54 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:15:54 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a7f3a067602541c88dd0f227722192a8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:16:04 CEST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.32e-05</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                 </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:16:04 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m1.32e-05\u001b[0m\u001b[31m is greater\u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running  \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more   \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31maccurate results.                                                 \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 9\n",
      "\tJ = 4.279e-01\n",
      "\tgrad_norm = 3.5880e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:16:06 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-0551b08d-a07c-4ea5-936d-237fb4a5c0ac'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:16:06 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-0551b08d-a07c-4ea5-936d-237fb4a5c0ac'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-0551b08d-a07c-4ea5-936d-237fb4a5c0ac\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-0551b08d-a0</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-0551b08d-a07c-4ea5-936d-237fb4a5c0ac\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">7c-4ea5-936d-237fb4a5c0ac'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=488803;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0551b08d-a07c-4ea5-936d-237fb4a5c0ac\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=252708;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0551b08d-a07c-4ea5-936d-237fb4a5c0ac\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=488803;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0551b08d-a07c-4ea5-936d-237fb4a5c0ac\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=531105;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0551b08d-a07c-4ea5-936d-237fb4a5c0ac\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=488803;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0551b08d-a07c-4ea5-936d-237fb4a5c0ac\u001b\\\u001b[32m-0551b08d-a0\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=488803;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0551b08d-a07c-4ea5-936d-237fb4a5c0ac\u001b\\\u001b[32m7c-4ea5-936d-237fb4a5c0ac'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=713693;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ed047e56c0f844e8b52b7fc51c9956d3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:16:09 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:16:09 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:16:10 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:16:10 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8a3b7b9feb0547b18662998a3ff81733",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:16:20 CEST </span>status = preprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:16:20 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:16:24 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:16:24 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0e9691eab2e940f796b67671de986138",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:16:31 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:16:31 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m44\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b85d78fa516946129bce17dd176f9a9a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:16:35 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:16:35 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:16:37 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-0551b08d-a07c-4ea5-936d-237fb4a5c0ac\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-0551b08d-a0</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-0551b08d-a07c-4ea5-936d-237fb4a5c0ac\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">7c-4ea5-936d-237fb4a5c0ac'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:16:37 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=947953;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0551b08d-a07c-4ea5-936d-237fb4a5c0ac\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=689167;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0551b08d-a07c-4ea5-936d-237fb4a5c0ac\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=947953;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0551b08d-a07c-4ea5-936d-237fb4a5c0ac\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=426165;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0551b08d-a07c-4ea5-936d-237fb4a5c0ac\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=947953;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0551b08d-a07c-4ea5-936d-237fb4a5c0ac\u001b\\\u001b[4;34m-0551b08d-a0\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=947953;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0551b08d-a07c-4ea5-936d-237fb4a5c0ac\u001b\\\u001b[4;34m7c-4ea5-936d-237fb4a5c0ac'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f87cca1883ad40fc81256a591b1a5522",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:16:42 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:16:42 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1943c9af737b427ba81140947a155845",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:16:44 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:16:44 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:16:46 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:16:46 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7a8d3e7db0e0458f87b705e0e46debf1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:17:01 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:17:01 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2a601b1cada04aca8153ad243be85bf5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:17:09 CEST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.01e-05</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                 </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:17:09 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m2.01e-05\u001b[0m\u001b[31m is greater\u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running  \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more   \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31maccurate results.                                                 \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 10\n",
      "\tJ = 4.312e-01\n",
      "\tgrad_norm = 5.1424e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:17:11 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-a4d14a87-ecb4-443c-9d6b-7d716d83eec1'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:17:11 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-a4d14a87-ecb4-443c-9d6b-7d716d83eec1'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-a4d14a87-ecb4-443c-9d6b-7d716d83eec1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-a4d14a87-ec</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-a4d14a87-ecb4-443c-9d6b-7d716d83eec1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">b4-443c-9d6b-7d716d83eec1'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=566568;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a4d14a87-ecb4-443c-9d6b-7d716d83eec1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=229141;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a4d14a87-ecb4-443c-9d6b-7d716d83eec1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=566568;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a4d14a87-ecb4-443c-9d6b-7d716d83eec1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=44020;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a4d14a87-ecb4-443c-9d6b-7d716d83eec1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=566568;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a4d14a87-ecb4-443c-9d6b-7d716d83eec1\u001b\\\u001b[32m-a4d14a87-ec\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=566568;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a4d14a87-ecb4-443c-9d6b-7d716d83eec1\u001b\\\u001b[32mb4-443c-9d6b-7d716d83eec1'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=53700;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6dd6c3a230d543ff9bfa925e7d7a9f31",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:17:13 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:17:13 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:17:14 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:17:14 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "91890a7a99474464accf58591776e97f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:17:21 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:17:21 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ae6262ea814b45fdae1fd96646d92dfe",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:17:27 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:17:27 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m44\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "339fa9c39db648bc8062a092b2c0a6d8",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:17:29 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:17:29 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:17:31 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-a4d14a87-ecb4-443c-9d6b-7d716d83eec1\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-a4d14a87-ec</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-a4d14a87-ecb4-443c-9d6b-7d716d83eec1\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">b4-443c-9d6b-7d716d83eec1'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:17:31 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=188209;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a4d14a87-ecb4-443c-9d6b-7d716d83eec1\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=140153;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a4d14a87-ecb4-443c-9d6b-7d716d83eec1\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=188209;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a4d14a87-ecb4-443c-9d6b-7d716d83eec1\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=94490;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a4d14a87-ecb4-443c-9d6b-7d716d83eec1\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=188209;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a4d14a87-ecb4-443c-9d6b-7d716d83eec1\u001b\\\u001b[4;34m-a4d14a87-ec\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=188209;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a4d14a87-ecb4-443c-9d6b-7d716d83eec1\u001b\\\u001b[4;34mb4-443c-9d6b-7d716d83eec1'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c991a55cd2d840c9a7d1f77b4761bb36",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:17:35 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:17:35 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fa38a706224e438c9223b36b42533a2f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:17:37 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:17:37 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:17:39 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:17:39 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1ba5cb728e0443f0b9f60a6150a9470a",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:17:53 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:17:53 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e6945f36ff804d4086801edc6af6a85a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:18:02 CEST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.44e-05</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                 </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:18:02 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m1.44e-05\u001b[0m\u001b[31m is greater\u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running  \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more   \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31maccurate results.                                                 \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 11\n",
      "\tJ = 4.384e-01\n",
      "\tgrad_norm = 4.4066e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:18:04 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-4f24d188-e8c9-4194-81b3-a25ffd8081f0'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:18:04 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-4f24d188-e8c9-4194-81b3-a25ffd8081f0'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-4f24d188-e8c9-4194-81b3-a25ffd8081f0\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f24d188-e8</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f24d188-e8c9-4194-81b3-a25ffd8081f0\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">c9-4194-81b3-a25ffd8081f0'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=43520;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f24d188-e8c9-4194-81b3-a25ffd8081f0\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=240359;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f24d188-e8c9-4194-81b3-a25ffd8081f0\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=43520;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f24d188-e8c9-4194-81b3-a25ffd8081f0\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=633534;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f24d188-e8c9-4194-81b3-a25ffd8081f0\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=43520;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f24d188-e8c9-4194-81b3-a25ffd8081f0\u001b\\\u001b[32m-4f24d188-e8\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=43520;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f24d188-e8c9-4194-81b3-a25ffd8081f0\u001b\\\u001b[32mc9-4194-81b3-a25ffd8081f0'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
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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\">              </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=30292;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
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    {
     "data": {
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:18:06 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:18:06 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:18:07 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:18:07 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:18:16 CEST </span>status = preprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:18:16 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:18:21 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:18:21 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5b115100580549bdb1da0b1236680699",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:18:27 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:18:27 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m44\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:18:28 CEST </span>status = postprocess                                              \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:18:28 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "b41df812da454ab5b80f862f238005a5",
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:18:30 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:18:30 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:18:32 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f24d188-e8c9-4194-81b3-a25ffd8081f0\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f24d188-e8</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f24d188-e8c9-4194-81b3-a25ffd8081f0\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">c9-4194-81b3-a25ffd8081f0'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:18:32 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=498265;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f24d188-e8c9-4194-81b3-a25ffd8081f0\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=921821;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f24d188-e8c9-4194-81b3-a25ffd8081f0\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=498265;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f24d188-e8c9-4194-81b3-a25ffd8081f0\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=458917;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f24d188-e8c9-4194-81b3-a25ffd8081f0\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=498265;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f24d188-e8c9-4194-81b3-a25ffd8081f0\u001b\\\u001b[4;34m-4f24d188-e8\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=498265;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f24d188-e8c9-4194-81b3-a25ffd8081f0\u001b\\\u001b[4;34mc9-4194-81b3-a25ffd8081f0'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
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    {
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:18:36 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:18:36 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7edcee4c28f54cf5b0f84d9e840bfc75",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:18:39 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:18:39 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:18:40 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:18:40 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "version_minor": 0
      },
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:19:01 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:19:01 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
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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\">13:19:09 CEST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.77e-05</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                 </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:19:09 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m1.77e-05\u001b[0m\u001b[31m is greater\u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running  \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more   \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31maccurate results.                                                 \u001b[0m\n"
      ]
     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 12\n",
      "\tJ = 4.440e-01\n",
      "\tgrad_norm = 4.8114e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:19:11 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-8d5a313d-c4f2-4402-b267-6b4a9c4f3770'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:19:11 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-8d5a313d-c4f2-4402-b267-6b4a9c4f3770'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-8d5a313d-c4f2-4402-b267-6b4a9c4f3770\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-8d5a313d-c4</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-8d5a313d-c4f2-4402-b267-6b4a9c4f3770\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">f2-4402-b267-6b4a9c4f3770'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=638492;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8d5a313d-c4f2-4402-b267-6b4a9c4f3770\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=528101;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8d5a313d-c4f2-4402-b267-6b4a9c4f3770\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=638492;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8d5a313d-c4f2-4402-b267-6b4a9c4f3770\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=461845;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8d5a313d-c4f2-4402-b267-6b4a9c4f3770\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=638492;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8d5a313d-c4f2-4402-b267-6b4a9c4f3770\u001b\\\u001b[32m-8d5a313d-c4\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=638492;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8d5a313d-c4f2-4402-b267-6b4a9c4f3770\u001b\\\u001b[32mf2-4402-b267-6b4a9c4f3770'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=440212;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e887ae809cd645bda708b67c0b65ffe0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:19:13 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:19:13 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:19:14 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:19:14 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "115106cfd7804d4a8a2d50e22f7f4fa5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:19:23 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:19:23 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:19:24 CEST </span>running solver                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:19:24 CEST\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1c194eea27da4b718fe4a29dd3c9f64e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:19:27 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:19:27 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m44\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "54ce3c59be2a4f6d93425b62ae669937",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:19:30 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:19:30 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:19:32 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-8d5a313d-c4f2-4402-b267-6b4a9c4f3770\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-8d5a313d-c4</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-8d5a313d-c4f2-4402-b267-6b4a9c4f3770\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">f2-4402-b267-6b4a9c4f3770'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:19:32 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=691687;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8d5a313d-c4f2-4402-b267-6b4a9c4f3770\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=909650;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8d5a313d-c4f2-4402-b267-6b4a9c4f3770\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=691687;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8d5a313d-c4f2-4402-b267-6b4a9c4f3770\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=317498;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8d5a313d-c4f2-4402-b267-6b4a9c4f3770\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=691687;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8d5a313d-c4f2-4402-b267-6b4a9c4f3770\u001b\\\u001b[4;34m-8d5a313d-c4\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=691687;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8d5a313d-c4f2-4402-b267-6b4a9c4f3770\u001b\\\u001b[4;34mf2-4402-b267-6b4a9c4f3770'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a0ccc5a89f4449998e22d0c9bab7ca55",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:19:36 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:19:36 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "57b1b6403cb64c10901dd5e5031ee1a0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:19:39 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:19:39 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:19:40 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:19:40 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2cf8903331bb453cb61ce137ce27cfb3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:20:02 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:20:02 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c971b960da164f6bb10ee0709d0d0f1a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 13\n",
      "\tJ = 4.523e-01\n",
      "\tgrad_norm = 3.0076e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:20:12 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-cb0b7f0f-1e9c-4d6c-ab2b-54ca48e7ce93'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:20:12 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-cb0b7f0f-1e9c-4d6c-ab2b-54ca48e7ce93'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-cb0b7f0f-1e9c-4d6c-ab2b-54ca48e7ce93\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb0b7f0f-1e</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb0b7f0f-1e9c-4d6c-ab2b-54ca48e7ce93\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">9c-4d6c-ab2b-54ca48e7ce93'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=422165;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb0b7f0f-1e9c-4d6c-ab2b-54ca48e7ce93\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=157343;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb0b7f0f-1e9c-4d6c-ab2b-54ca48e7ce93\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=422165;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb0b7f0f-1e9c-4d6c-ab2b-54ca48e7ce93\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=645611;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb0b7f0f-1e9c-4d6c-ab2b-54ca48e7ce93\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=422165;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb0b7f0f-1e9c-4d6c-ab2b-54ca48e7ce93\u001b\\\u001b[32m-cb0b7f0f-1e\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=422165;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb0b7f0f-1e9c-4d6c-ab2b-54ca48e7ce93\u001b\\\u001b[32m9c-4d6c-ab2b-54ca48e7ce93'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=78431;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a5612511c57b4366be77ae8ec5e5c010",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:20:14 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:20:14 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:20:15 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:20:15 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "efdb2d40e7ba4471b820b125d762d785",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:20:24 CEST </span>status = preprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:20:24 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:20:29 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:20:29 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7a854d8a9a8d4a99a06a597661af2cf4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:20:35 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:20:35 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m44\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:20:36 CEST </span>status = postprocess                                              \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:20:36 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "00f0debdf6734e7280e55a65410a84ec",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:20:38 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:20:38 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:20:40 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb0b7f0f-1e9c-4d6c-ab2b-54ca48e7ce93\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb0b7f0f-1e</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb0b7f0f-1e9c-4d6c-ab2b-54ca48e7ce93\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">9c-4d6c-ab2b-54ca48e7ce93'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:20:40 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=897062;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb0b7f0f-1e9c-4d6c-ab2b-54ca48e7ce93\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=350306;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb0b7f0f-1e9c-4d6c-ab2b-54ca48e7ce93\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=897062;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb0b7f0f-1e9c-4d6c-ab2b-54ca48e7ce93\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=553497;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb0b7f0f-1e9c-4d6c-ab2b-54ca48e7ce93\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=897062;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb0b7f0f-1e9c-4d6c-ab2b-54ca48e7ce93\u001b\\\u001b[4;34m-cb0b7f0f-1e\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=897062;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb0b7f0f-1e9c-4d6c-ab2b-54ca48e7ce93\u001b\\\u001b[4;34m9c-4d6c-ab2b-54ca48e7ce93'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "82c70856626544f6918ca8fea50ddb35",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:20:44 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:20:44 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2e69a203fd5945f58472c3619c3e9bb4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:20:46 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:20:46 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:20:48 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:20:48 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "701bdc486e59465bb9a86ba6af21bdeb",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:21:05 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:21:05 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 14\n",
      "\tJ = 4.532e-01\n",
      "\tgrad_norm = 4.3712e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:21:15 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-01f76734-e966-40be-8940-18c3d3c30404'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:21:15 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-01f76734-e966-40be-8940-18c3d3c30404'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-01f76734-e966-40be-8940-18c3d3c30404\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-01f76734-e9</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-01f76734-e966-40be-8940-18c3d3c30404\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">66-40be-8940-18c3d3c30404'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=546626;https://tidy3d.simulation.cloud/workbench?taskId=fdve-01f76734-e966-40be-8940-18c3d3c30404\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=325589;https://tidy3d.simulation.cloud/workbench?taskId=fdve-01f76734-e966-40be-8940-18c3d3c30404\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=546626;https://tidy3d.simulation.cloud/workbench?taskId=fdve-01f76734-e966-40be-8940-18c3d3c30404\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=730087;https://tidy3d.simulation.cloud/workbench?taskId=fdve-01f76734-e966-40be-8940-18c3d3c30404\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=546626;https://tidy3d.simulation.cloud/workbench?taskId=fdve-01f76734-e966-40be-8940-18c3d3c30404\u001b\\\u001b[32m-01f76734-e9\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=546626;https://tidy3d.simulation.cloud/workbench?taskId=fdve-01f76734-e966-40be-8940-18c3d3c30404\u001b\\\u001b[32m66-40be-8940-18c3d3c30404'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=9854;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c43615d875b84937b4edc2a7cd28ff7e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:21:17 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:21:17 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:21:18 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:21:18 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "e8880cb845ba400ba1323115570eb923",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:21:28 CEST </span>status = preprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:21:28 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:21:32 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:21:32 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
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       "version_minor": 0
      },
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:21:39 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:21:39 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m44\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "version_minor": 0
      },
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:21:44 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:21:44 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
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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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
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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\">13:21:46 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-01f76734-e966-40be-8940-18c3d3c30404\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-01f76734-e9</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-01f76734-e966-40be-8940-18c3d3c30404\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">66-40be-8940-18c3d3c30404'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:21:46 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=630069;https://tidy3d.simulation.cloud/workbench?taskId=fdve-01f76734-e966-40be-8940-18c3d3c30404\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=279307;https://tidy3d.simulation.cloud/workbench?taskId=fdve-01f76734-e966-40be-8940-18c3d3c30404\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=630069;https://tidy3d.simulation.cloud/workbench?taskId=fdve-01f76734-e966-40be-8940-18c3d3c30404\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=453630;https://tidy3d.simulation.cloud/workbench?taskId=fdve-01f76734-e966-40be-8940-18c3d3c30404\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=630069;https://tidy3d.simulation.cloud/workbench?taskId=fdve-01f76734-e966-40be-8940-18c3d3c30404\u001b\\\u001b[4;34m-01f76734-e9\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=630069;https://tidy3d.simulation.cloud/workbench?taskId=fdve-01f76734-e966-40be-8940-18c3d3c30404\u001b\\\u001b[4;34m66-40be-8940-18c3d3c30404'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ebb5448a9a8142479891c37090ace45d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:21:49 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:21:49 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "057f8434055042c0a102e546de61202d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:21:52 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:21:52 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:21:53 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:21:53 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e886c5f1a0574667a2f9a84d10af0a77",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:22:11 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:22:11 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c50f498be96544fd8f0d85caa14c1c9d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 15\n",
      "\tJ = 4.582e-01\n",
      "\tgrad_norm = 3.0871e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:22:22 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-ef3b3d27-534f-415f-95a0-df99478598cd'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:22:22 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-ef3b3d27-534f-415f-95a0-df99478598cd'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-ef3b3d27-534f-415f-95a0-df99478598cd\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef3b3d27-53</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef3b3d27-534f-415f-95a0-df99478598cd\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">4f-415f-95a0-df99478598cd'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=692059;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef3b3d27-534f-415f-95a0-df99478598cd\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=521261;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef3b3d27-534f-415f-95a0-df99478598cd\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=692059;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef3b3d27-534f-415f-95a0-df99478598cd\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=413199;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef3b3d27-534f-415f-95a0-df99478598cd\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=692059;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef3b3d27-534f-415f-95a0-df99478598cd\u001b\\\u001b[32m-ef3b3d27-53\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=692059;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef3b3d27-534f-415f-95a0-df99478598cd\u001b\\\u001b[32m4f-415f-95a0-df99478598cd'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=538954;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f63ce27f86fa410c961341266806df33",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:22:24 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:22:24 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:22:25 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:22:25 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "d3a9027601384b15b7d88f874c8863c4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:22:34 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:22:34 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "version_minor": 0
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:22:39 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:22:39 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m44\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:22:40 CEST </span>status = postprocess                                              \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:22:40 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:22:42 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:22:42 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:22:44 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef3b3d27-534f-415f-95a0-df99478598cd\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef3b3d27-53</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef3b3d27-534f-415f-95a0-df99478598cd\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">4f-415f-95a0-df99478598cd'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:22:44 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=829636;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef3b3d27-534f-415f-95a0-df99478598cd\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=361217;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef3b3d27-534f-415f-95a0-df99478598cd\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=829636;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef3b3d27-534f-415f-95a0-df99478598cd\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=645206;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef3b3d27-534f-415f-95a0-df99478598cd\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=829636;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef3b3d27-534f-415f-95a0-df99478598cd\u001b\\\u001b[4;34m-ef3b3d27-53\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=829636;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef3b3d27-534f-415f-95a0-df99478598cd\u001b\\\u001b[4;34m4f-415f-95a0-df99478598cd'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e17049d5e0ef44eb82f7765971ae1c5e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:22:48 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:22:48 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6c6c4c693e614ca985af06e81816f45d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:22:50 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:22:50 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:22:52 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:22:52 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "00b9b841d3814a8098fbc42b9897830a",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:23:05 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:23:05 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "725ec09e1db14317b154683dcd5bd474",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 16\n",
      "\tJ = 4.611e-01\n",
      "\tgrad_norm = 3.2379e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:23:16 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-482a8017-3c07-4d09-a52d-05210fda8056'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:23:16 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-482a8017-3c07-4d09-a52d-05210fda8056'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-482a8017-3c07-4d09-a52d-05210fda8056\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-482a8017-3c</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-482a8017-3c07-4d09-a52d-05210fda8056\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">07-4d09-a52d-05210fda8056'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=196184;https://tidy3d.simulation.cloud/workbench?taskId=fdve-482a8017-3c07-4d09-a52d-05210fda8056\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=435689;https://tidy3d.simulation.cloud/workbench?taskId=fdve-482a8017-3c07-4d09-a52d-05210fda8056\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=196184;https://tidy3d.simulation.cloud/workbench?taskId=fdve-482a8017-3c07-4d09-a52d-05210fda8056\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=975363;https://tidy3d.simulation.cloud/workbench?taskId=fdve-482a8017-3c07-4d09-a52d-05210fda8056\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=196184;https://tidy3d.simulation.cloud/workbench?taskId=fdve-482a8017-3c07-4d09-a52d-05210fda8056\u001b\\\u001b[32m-482a8017-3c\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=196184;https://tidy3d.simulation.cloud/workbench?taskId=fdve-482a8017-3c07-4d09-a52d-05210fda8056\u001b\\\u001b[32m07-4d09-a52d-05210fda8056'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=586987;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fd1ec8a57f814b96a37b9166cf96c5a7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:23:18 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:23:18 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:23:19 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:23:19 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a68ad5d1e2014f4c911ad91e903f1e08",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:23:26 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:23:26 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:23:27 CEST </span>running solver                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:23:27 CEST\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7610337b13e8423ead1a023b4ab231cf",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:23:32 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:23:32 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m44\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4cb363e963654703be680eaf65d60d6a",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:23:34 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:23:34 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:23:36 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-482a8017-3c07-4d09-a52d-05210fda8056\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-482a8017-3c</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-482a8017-3c07-4d09-a52d-05210fda8056\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">07-4d09-a52d-05210fda8056'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:23:36 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=251238;https://tidy3d.simulation.cloud/workbench?taskId=fdve-482a8017-3c07-4d09-a52d-05210fda8056\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=880336;https://tidy3d.simulation.cloud/workbench?taskId=fdve-482a8017-3c07-4d09-a52d-05210fda8056\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=251238;https://tidy3d.simulation.cloud/workbench?taskId=fdve-482a8017-3c07-4d09-a52d-05210fda8056\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=288896;https://tidy3d.simulation.cloud/workbench?taskId=fdve-482a8017-3c07-4d09-a52d-05210fda8056\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=251238;https://tidy3d.simulation.cloud/workbench?taskId=fdve-482a8017-3c07-4d09-a52d-05210fda8056\u001b\\\u001b[4;34m-482a8017-3c\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=251238;https://tidy3d.simulation.cloud/workbench?taskId=fdve-482a8017-3c07-4d09-a52d-05210fda8056\u001b\\\u001b[4;34m07-4d09-a52d-05210fda8056'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4c6c7b7458ab4921bc1073bf54a5cbaf",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:23:41 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:23:41 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d603b34fc4424ebfa6bf5e407fb01636",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:23:43 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:23:43 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:23:45 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:23:45 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7729dbb1ee0142e0bfdd4d201bce3e30",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:24:04 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:24:04 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d0a8f05670d94aa2ab8e64840effec9a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 17\n",
      "\tJ = 4.656e-01\n",
      "\tgrad_norm = 2.5564e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:24:16 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-0d07196a-26e7-4cdb-a235-e69354959e2c'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:24:16 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-0d07196a-26e7-4cdb-a235-e69354959e2c'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-0d07196a-26e7-4cdb-a235-e69354959e2c\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-0d07196a-26</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-0d07196a-26e7-4cdb-a235-e69354959e2c\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">e7-4cdb-a235-e69354959e2c'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=534469;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0d07196a-26e7-4cdb-a235-e69354959e2c\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=981697;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0d07196a-26e7-4cdb-a235-e69354959e2c\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=534469;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0d07196a-26e7-4cdb-a235-e69354959e2c\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=767114;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0d07196a-26e7-4cdb-a235-e69354959e2c\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=534469;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0d07196a-26e7-4cdb-a235-e69354959e2c\u001b\\\u001b[32m-0d07196a-26\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=534469;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0d07196a-26e7-4cdb-a235-e69354959e2c\u001b\\\u001b[32me7-4cdb-a235-e69354959e2c'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=127058;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1951278fe8a64957821a9bb53559f810",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:24:18 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:24:18 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:24:19 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:24:19 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:24:28 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:24:28 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e749e37dde694e94aefdb63b5ebf4136",
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:24:36 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:24:36 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m44\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:24:37 CEST </span>status = postprocess                                              \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:24:37 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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     "data": {
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:24:39 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:24:39 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:24:41 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-0d07196a-26e7-4cdb-a235-e69354959e2c\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-0d07196a-26</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-0d07196a-26e7-4cdb-a235-e69354959e2c\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">e7-4cdb-a235-e69354959e2c'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:24:41 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=234429;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0d07196a-26e7-4cdb-a235-e69354959e2c\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=589536;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0d07196a-26e7-4cdb-a235-e69354959e2c\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=234429;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0d07196a-26e7-4cdb-a235-e69354959e2c\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=761449;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0d07196a-26e7-4cdb-a235-e69354959e2c\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=234429;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0d07196a-26e7-4cdb-a235-e69354959e2c\u001b\\\u001b[4;34m-0d07196a-26\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=234429;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0d07196a-26e7-4cdb-a235-e69354959e2c\u001b\\\u001b[4;34me7-4cdb-a235-e69354959e2c'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
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      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8a400bdc3bc7483ba9a581f7a58e0a04",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:24:44 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:24:44 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fd9c9dc27f50421781a1a3b619cecfde",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:24:47 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:24:47 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:24:48 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:24:48 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:25:03 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:25:03 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
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    {
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 18\n",
      "\tJ = 4.685e-01\n",
      "\tgrad_norm = 1.9384e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:25:13 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-7d39da9f-7912-49d6-80fe-d5358c312237'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:25:13 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-7d39da9f-7912-49d6-80fe-d5358c312237'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
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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\">              </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-7d39da9f-7912-49d6-80fe-d5358c312237\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-7d39da9f-79</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-7d39da9f-7912-49d6-80fe-d5358c312237\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">12-49d6-80fe-d5358c312237'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=34190;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7d39da9f-7912-49d6-80fe-d5358c312237\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=125447;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7d39da9f-7912-49d6-80fe-d5358c312237\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=34190;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7d39da9f-7912-49d6-80fe-d5358c312237\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=251736;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7d39da9f-7912-49d6-80fe-d5358c312237\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=34190;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7d39da9f-7912-49d6-80fe-d5358c312237\u001b\\\u001b[32m-7d39da9f-79\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=34190;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7d39da9f-7912-49d6-80fe-d5358c312237\u001b\\\u001b[32m12-49d6-80fe-d5358c312237'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=79558;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "82541c78dba44a43b30d9935c7acbeea",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:25:15 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:25:15 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:25:16 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:25:16 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "8115a8afd61044c5b92d00a9860001d3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:25:23 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:25:23 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "507d9bd76700444cad8373e4d61c9171",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:25:27 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:25:27 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m44\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:25:29 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:25:29 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:25:31 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-7d39da9f-7912-49d6-80fe-d5358c312237\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-7d39da9f-79</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-7d39da9f-7912-49d6-80fe-d5358c312237\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">12-49d6-80fe-d5358c312237'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:25:31 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=811900;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7d39da9f-7912-49d6-80fe-d5358c312237\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=836972;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7d39da9f-7912-49d6-80fe-d5358c312237\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=811900;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7d39da9f-7912-49d6-80fe-d5358c312237\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=830750;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7d39da9f-7912-49d6-80fe-d5358c312237\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=811900;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7d39da9f-7912-49d6-80fe-d5358c312237\u001b\\\u001b[4;34m-7d39da9f-79\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=811900;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7d39da9f-7912-49d6-80fe-d5358c312237\u001b\\\u001b[4;34m12-49d6-80fe-d5358c312237'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:25:36 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:25:36 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ed7591c423294981807aeb8017f26210",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:25:39 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:25:39 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:25:40 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:25:40 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "version_minor": 0
      },
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:25:55 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:25:55 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
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     },
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      },
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
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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\">13:26:03 CEST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.3e-05</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                 </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:26:03 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m2.3e-05\u001b[0m\u001b[31m is greater \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running  \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more   \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31maccurate results.                                                 \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 19\n",
      "\tJ = 4.696e-01\n",
      "\tgrad_norm = 3.1851e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:26:05 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-38eb4511-0ec3-495b-9343-0d398da46a68'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:26:05 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-38eb4511-0ec3-495b-9343-0d398da46a68'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-38eb4511-0ec3-495b-9343-0d398da46a68\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-38eb4511-0e</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-38eb4511-0ec3-495b-9343-0d398da46a68\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">c3-495b-9343-0d398da46a68'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=935331;https://tidy3d.simulation.cloud/workbench?taskId=fdve-38eb4511-0ec3-495b-9343-0d398da46a68\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=11914;https://tidy3d.simulation.cloud/workbench?taskId=fdve-38eb4511-0ec3-495b-9343-0d398da46a68\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=935331;https://tidy3d.simulation.cloud/workbench?taskId=fdve-38eb4511-0ec3-495b-9343-0d398da46a68\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=754823;https://tidy3d.simulation.cloud/workbench?taskId=fdve-38eb4511-0ec3-495b-9343-0d398da46a68\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=935331;https://tidy3d.simulation.cloud/workbench?taskId=fdve-38eb4511-0ec3-495b-9343-0d398da46a68\u001b\\\u001b[32m-38eb4511-0e\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=935331;https://tidy3d.simulation.cloud/workbench?taskId=fdve-38eb4511-0ec3-495b-9343-0d398da46a68\u001b\\\u001b[32mc3-495b-9343-0d398da46a68'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=563437;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a4e5643d503c4209aa8c7579c92b7135",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:26:08 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:26:08 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:26:09 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:26:09 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3670b4ac235f48ff9d5235e1c4a63e21",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:26:16 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:26:16 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:26:17 CEST </span>running solver                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:26:17 CEST\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "515411c7392d4590ab077352c3c3a1e5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:26:22 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:26:22 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m44\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bc90ed903bda457393ebaf9384e2d5cb",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:26:24 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:26:24 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:26:26 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-38eb4511-0ec3-495b-9343-0d398da46a68\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-38eb4511-0e</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-38eb4511-0ec3-495b-9343-0d398da46a68\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">c3-495b-9343-0d398da46a68'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:26:26 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=769672;https://tidy3d.simulation.cloud/workbench?taskId=fdve-38eb4511-0ec3-495b-9343-0d398da46a68\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=776094;https://tidy3d.simulation.cloud/workbench?taskId=fdve-38eb4511-0ec3-495b-9343-0d398da46a68\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=769672;https://tidy3d.simulation.cloud/workbench?taskId=fdve-38eb4511-0ec3-495b-9343-0d398da46a68\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=599262;https://tidy3d.simulation.cloud/workbench?taskId=fdve-38eb4511-0ec3-495b-9343-0d398da46a68\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=769672;https://tidy3d.simulation.cloud/workbench?taskId=fdve-38eb4511-0ec3-495b-9343-0d398da46a68\u001b\\\u001b[4;34m-38eb4511-0e\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=769672;https://tidy3d.simulation.cloud/workbench?taskId=fdve-38eb4511-0ec3-495b-9343-0d398da46a68\u001b\\\u001b[4;34mc3-495b-9343-0d398da46a68'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      "application/vnd.jupyter.widget-view+json": {
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       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:26:30 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:26:30 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ab35bdb4dff54584bee933cafdfcf215",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:26:33 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:26:33 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:26:34 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:26:34 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "baaaf51c13c246a2935909aaf47c8123",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:26:48 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:26:48 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6a1c64e0c61448aea00dccb39d83f7e8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:26:56 CEST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.85e-05</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                 </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:26:56 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m4.85e-05\u001b[0m\u001b[31m is greater\u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running  \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more   \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31maccurate results.                                                 \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 20\n",
      "\tJ = 4.730e-01\n",
      "\tgrad_norm = 1.6855e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:26:59 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-f8eeae90-c2d6-4700-a82b-a127b1cfbe9f'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:26:59 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-f8eeae90-c2d6-4700-a82b-a127b1cfbe9f'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-f8eeae90-c2d6-4700-a82b-a127b1cfbe9f\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-f8eeae90-c2</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f8eeae90-c2d6-4700-a82b-a127b1cfbe9f\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">d6-4700-a82b-a127b1cfbe9f'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=82691;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f8eeae90-c2d6-4700-a82b-a127b1cfbe9f\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=724476;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f8eeae90-c2d6-4700-a82b-a127b1cfbe9f\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=82691;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f8eeae90-c2d6-4700-a82b-a127b1cfbe9f\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=692488;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f8eeae90-c2d6-4700-a82b-a127b1cfbe9f\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=82691;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f8eeae90-c2d6-4700-a82b-a127b1cfbe9f\u001b\\\u001b[32m-f8eeae90-c2\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=82691;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f8eeae90-c2d6-4700-a82b-a127b1cfbe9f\u001b\\\u001b[32md6-4700-a82b-a127b1cfbe9f'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=177535;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "92a44fc3b87e4f6d96a497d7b374dedc",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:27:01 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:27:01 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:27:02 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:27:02 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "model_id": "86e5945155584d928dc937cacda2833f",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:27:09 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:27:09 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:27:13 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:27:13 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m44\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
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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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
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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\">              </span>status = postprocess                                              \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:27:15 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:27:15 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:27:17 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f8eeae90-c2d6-4700-a82b-a127b1cfbe9f\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-f8eeae90-c2</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f8eeae90-c2d6-4700-a82b-a127b1cfbe9f\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">d6-4700-a82b-a127b1cfbe9f'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:27:17 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=440149;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f8eeae90-c2d6-4700-a82b-a127b1cfbe9f\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=762148;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f8eeae90-c2d6-4700-a82b-a127b1cfbe9f\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=440149;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f8eeae90-c2d6-4700-a82b-a127b1cfbe9f\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=732764;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f8eeae90-c2d6-4700-a82b-a127b1cfbe9f\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=440149;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f8eeae90-c2d6-4700-a82b-a127b1cfbe9f\u001b\\\u001b[4;34m-f8eeae90-c2\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=440149;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f8eeae90-c2d6-4700-a82b-a127b1cfbe9f\u001b\\\u001b[4;34md6-4700-a82b-a127b1cfbe9f'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1b5117a0406e4168abf09e858630f222",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:27:22 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:27:22 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b1b27ebfad2f4efdbc5334a18c6dd130",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:27:24 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:27:24 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:27:26 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:27:26 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3d695dd5eef14ab9a06df6e20e17c47d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:27:40 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:27:40 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "67dfaeaef81e42f090ae337985a9ff00",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:27:47 CEST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.83e-05</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                 </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:27:47 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m2.83e-05\u001b[0m\u001b[31m is greater\u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running  \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more   \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31maccurate results.                                                 \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 21\n",
      "\tJ = 4.736e-01\n",
      "\tgrad_norm = 2.4398e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:27:50 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-2711d65a-4cf8-46ba-a63c-b1f58616db3b'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:27:50 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-2711d65a-4cf8-46ba-a63c-b1f58616db3b'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-2711d65a-4cf8-46ba-a63c-b1f58616db3b\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-2711d65a-4c</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-2711d65a-4cf8-46ba-a63c-b1f58616db3b\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">f8-46ba-a63c-b1f58616db3b'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=25339;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2711d65a-4cf8-46ba-a63c-b1f58616db3b\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=545250;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2711d65a-4cf8-46ba-a63c-b1f58616db3b\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=25339;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2711d65a-4cf8-46ba-a63c-b1f58616db3b\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=388405;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2711d65a-4cf8-46ba-a63c-b1f58616db3b\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=25339;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2711d65a-4cf8-46ba-a63c-b1f58616db3b\u001b\\\u001b[32m-2711d65a-4c\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=25339;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2711d65a-4cf8-46ba-a63c-b1f58616db3b\u001b\\\u001b[32mf8-46ba-a63c-b1f58616db3b'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=405231;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a06ecae8194846b38dffd18e71984dd6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:27:52 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:27:52 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:27:53 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:27:53 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "model_id": "e6d8fbee996d43d592b3604612fecb91",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:28:00 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:28:00 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c02f2a732f414ea1b49995747d7ec1a6",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:28:03 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:28:03 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m44\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:28:04 CEST </span>status = postprocess                                              \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:28:04 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:28:06 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:28:06 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:28:08 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-2711d65a-4cf8-46ba-a63c-b1f58616db3b\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-2711d65a-4c</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-2711d65a-4cf8-46ba-a63c-b1f58616db3b\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">f8-46ba-a63c-b1f58616db3b'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:28:08 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=91756;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2711d65a-4cf8-46ba-a63c-b1f58616db3b\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=714275;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2711d65a-4cf8-46ba-a63c-b1f58616db3b\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=91756;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2711d65a-4cf8-46ba-a63c-b1f58616db3b\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=884618;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2711d65a-4cf8-46ba-a63c-b1f58616db3b\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=91756;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2711d65a-4cf8-46ba-a63c-b1f58616db3b\u001b\\\u001b[4;34m-2711d65a-4c\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=91756;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2711d65a-4cf8-46ba-a63c-b1f58616db3b\u001b\\\u001b[4;34mf8-46ba-a63c-b1f58616db3b'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
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     "output_type": "display_data"
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    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9d1bd5431de24c81bde33cb2fe93d89d",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:28:12 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:28:12 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "103eeed84798409bb3bef9a04823018b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:28:14 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:28:14 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:28:16 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:28:16 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "30c290d62db34b16be3fc12515597391",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:28:30 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:28:30 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3951eb70f55f43e4b331659d14eafa0e",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:28:37 CEST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.73e-05</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                 </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:28:37 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m2.73e-05\u001b[0m\u001b[31m is greater\u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running  \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more   \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31maccurate results.                                                 \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 22\n",
      "\tJ = 4.761e-01\n",
      "\tgrad_norm = 2.3591e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:28:39 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-053e6d6d-068d-4320-8180-fa242f286c3a'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:28:39 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-053e6d6d-068d-4320-8180-fa242f286c3a'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-053e6d6d-068d-4320-8180-fa242f286c3a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-053e6d6d-06</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-053e6d6d-068d-4320-8180-fa242f286c3a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">8d-4320-8180-fa242f286c3a'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=179745;https://tidy3d.simulation.cloud/workbench?taskId=fdve-053e6d6d-068d-4320-8180-fa242f286c3a\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=876388;https://tidy3d.simulation.cloud/workbench?taskId=fdve-053e6d6d-068d-4320-8180-fa242f286c3a\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=179745;https://tidy3d.simulation.cloud/workbench?taskId=fdve-053e6d6d-068d-4320-8180-fa242f286c3a\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=917171;https://tidy3d.simulation.cloud/workbench?taskId=fdve-053e6d6d-068d-4320-8180-fa242f286c3a\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=179745;https://tidy3d.simulation.cloud/workbench?taskId=fdve-053e6d6d-068d-4320-8180-fa242f286c3a\u001b\\\u001b[32m-053e6d6d-06\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=179745;https://tidy3d.simulation.cloud/workbench?taskId=fdve-053e6d6d-068d-4320-8180-fa242f286c3a\u001b\\\u001b[32m8d-4320-8180-fa242f286c3a'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=992125;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "1bc217b054af47c1b539212e353b2273",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:28:41 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:28:41 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:28:42 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:28:42 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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       "model_id": "1870ee5bb455425ebc3c8fb2053c9211",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:28:49 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:28:49 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:28:50 CEST </span>running solver                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:28:50 CEST\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:28:55 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:28:55 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m44\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
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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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
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     "output_type": "display_data"
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:28:57 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:28:57 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:28:59 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-053e6d6d-068d-4320-8180-fa242f286c3a\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-053e6d6d-06</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-053e6d6d-068d-4320-8180-fa242f286c3a\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">8d-4320-8180-fa242f286c3a'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:28:59 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=781284;https://tidy3d.simulation.cloud/workbench?taskId=fdve-053e6d6d-068d-4320-8180-fa242f286c3a\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=875484;https://tidy3d.simulation.cloud/workbench?taskId=fdve-053e6d6d-068d-4320-8180-fa242f286c3a\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=781284;https://tidy3d.simulation.cloud/workbench?taskId=fdve-053e6d6d-068d-4320-8180-fa242f286c3a\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=884838;https://tidy3d.simulation.cloud/workbench?taskId=fdve-053e6d6d-068d-4320-8180-fa242f286c3a\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=781284;https://tidy3d.simulation.cloud/workbench?taskId=fdve-053e6d6d-068d-4320-8180-fa242f286c3a\u001b\\\u001b[4;34m-053e6d6d-06\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=781284;https://tidy3d.simulation.cloud/workbench?taskId=fdve-053e6d6d-068d-4320-8180-fa242f286c3a\u001b\\\u001b[4;34m8d-4320-8180-fa242f286c3a'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
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       "version_minor": 0
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:29:03 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:29:03 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "version_minor": 0
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:29:05 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:29:05 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:29:07 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:29:07 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      },
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:29:21 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:29:21 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
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     },
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       "Output()"
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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>\n"
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 23\n",
      "\tJ = 4.786e-01\n",
      "\tgrad_norm = 1.6207e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:29:33 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-17ec8d74-2127-43f8-8182-22d41780b4bd'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:29:33 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-17ec8d74-2127-43f8-8182-22d41780b4bd'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-17ec8d74-2127-43f8-8182-22d41780b4bd\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-17ec8d74-21</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-17ec8d74-2127-43f8-8182-22d41780b4bd\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">27-43f8-8182-22d41780b4bd'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=69423;https://tidy3d.simulation.cloud/workbench?taskId=fdve-17ec8d74-2127-43f8-8182-22d41780b4bd\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=606295;https://tidy3d.simulation.cloud/workbench?taskId=fdve-17ec8d74-2127-43f8-8182-22d41780b4bd\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=69423;https://tidy3d.simulation.cloud/workbench?taskId=fdve-17ec8d74-2127-43f8-8182-22d41780b4bd\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=241065;https://tidy3d.simulation.cloud/workbench?taskId=fdve-17ec8d74-2127-43f8-8182-22d41780b4bd\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=69423;https://tidy3d.simulation.cloud/workbench?taskId=fdve-17ec8d74-2127-43f8-8182-22d41780b4bd\u001b\\\u001b[32m-17ec8d74-21\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=69423;https://tidy3d.simulation.cloud/workbench?taskId=fdve-17ec8d74-2127-43f8-8182-22d41780b4bd\u001b\\\u001b[32m27-43f8-8182-22d41780b4bd'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=349146;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "607cca13c9ac4254a34ff29d02a37d44",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:29:35 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:29:35 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:29:36 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:29:36 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "74b07bf3da274dd3a8e84cbbc07103e5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:29:43 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:29:43 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6b100819f4aa474b8cc594d76b4a6033",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:29:47 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:29:47 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m44\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6bc3b09ef9444e39bd87bedbef93b530",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:29:52 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:29:52 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:29:54 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-17ec8d74-2127-43f8-8182-22d41780b4bd\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-17ec8d74-21</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-17ec8d74-2127-43f8-8182-22d41780b4bd\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">27-43f8-8182-22d41780b4bd'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:29:54 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=959677;https://tidy3d.simulation.cloud/workbench?taskId=fdve-17ec8d74-2127-43f8-8182-22d41780b4bd\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=915646;https://tidy3d.simulation.cloud/workbench?taskId=fdve-17ec8d74-2127-43f8-8182-22d41780b4bd\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=959677;https://tidy3d.simulation.cloud/workbench?taskId=fdve-17ec8d74-2127-43f8-8182-22d41780b4bd\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=900257;https://tidy3d.simulation.cloud/workbench?taskId=fdve-17ec8d74-2127-43f8-8182-22d41780b4bd\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=959677;https://tidy3d.simulation.cloud/workbench?taskId=fdve-17ec8d74-2127-43f8-8182-22d41780b4bd\u001b\\\u001b[4;34m-17ec8d74-21\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=959677;https://tidy3d.simulation.cloud/workbench?taskId=fdve-17ec8d74-2127-43f8-8182-22d41780b4bd\u001b\\\u001b[4;34m27-43f8-8182-22d41780b4bd'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9e374aa3956149f0b08bf1a986e7682d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:29:58 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:29:58 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7327df4b87ee4c33b910e74861710160",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:30:00 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:30:00 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:30:02 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:30:02 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "271b170cccf440478703a09a17de730d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:30:16 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:30:16 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3dfa6eb1105b46a2803bbcb99fe2f365",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 24\n",
      "\tJ = 4.797e-01\n",
      "\tgrad_norm = 2.2384e-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:30:26 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'GC_invdes'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-ce006b27-00ef-46e0-9686-f4e2218655d8'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:30:26 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'GC_invdes'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-ce006b27-00ef-46e0-9686-f4e2218655d8'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-ce006b27-00ef-46e0-9686-f4e2218655d8\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-ce006b27-00</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-ce006b27-00ef-46e0-9686-f4e2218655d8\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">ef-46e0-9686-f4e2218655d8'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=175236;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ce006b27-00ef-46e0-9686-f4e2218655d8\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=845662;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ce006b27-00ef-46e0-9686-f4e2218655d8\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=175236;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ce006b27-00ef-46e0-9686-f4e2218655d8\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=730259;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ce006b27-00ef-46e0-9686-f4e2218655d8\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=175236;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ce006b27-00ef-46e0-9686-f4e2218655d8\u001b\\\u001b[32m-ce006b27-00\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=175236;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ce006b27-00ef-46e0-9686-f4e2218655d8\u001b\\\u001b[32mef-46e0-9686-f4e2218655d8'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=973661;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1220a7a091cc4a98a398387fd0c6130e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:30:28 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:30:28 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:30:29 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:30:29 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "428dc62a9b034500870adf3ee971bf06",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:30:36 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:30:36 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4cf2ad9e323b46db828e48a181d254b1",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:30:41 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:30:41 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m44\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "79f53e9e69b042489e32e67b5a96a9f9",
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       "version_minor": 0
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:30:44 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:30:44 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:30:46 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-ce006b27-00ef-46e0-9686-f4e2218655d8\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-ce006b27-00</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-ce006b27-00ef-46e0-9686-f4e2218655d8\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">ef-46e0-9686-f4e2218655d8'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:30:46 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=740603;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ce006b27-00ef-46e0-9686-f4e2218655d8\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=104579;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ce006b27-00ef-46e0-9686-f4e2218655d8\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=740603;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ce006b27-00ef-46e0-9686-f4e2218655d8\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=366198;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ce006b27-00ef-46e0-9686-f4e2218655d8\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=740603;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ce006b27-00ef-46e0-9686-f4e2218655d8\u001b\\\u001b[4;34m-ce006b27-00\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=740603;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ce006b27-00ef-46e0-9686-f4e2218655d8\u001b\\\u001b[4;34mef-46e0-9686-f4e2218655d8'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "model_id": "3cf91c85dfe8405a86e9490037e6c31f",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:30:50 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:30:50 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2fe300fdfa184d86a54223204771b8f0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:30:52 CEST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> tasks.                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:30:52 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:30:54 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span> for the whole batch.               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:30:54 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m for the whole batch.               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>the Batch has completed.                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "517124f218e04699a36a82b4bcae2f29",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:31:07 CEST </span>Batch complete.                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:31:07 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0046b3c3ace24f61ac307c25923c7a9e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 25\n",
      "\tJ = 4.799e-01\n",
      "\tgrad_norm = 1.7833e-01\n",
      "CPU times: user 2min 2s, sys: 25.4 s, total: 2min 27s\n",
      "Wall time: 22min 54s\n"
     ]
    }
   ],
   "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 = optax.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[:] = optax.apply_updates(params, updates)\n",
    "\n",
    "    # save history\n",
    "    J_history.append(value)\n",
    "    params_history.append(params.copy())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89557543-94cf-4049-8c97-12508569e5c5",
   "metadata": {},
   "source": [
    "Plot the objective function (average coupling efficiency) as a function of the number of iterations. A steady increase of the average coupling efficiency is observed. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "5cca78f8-0a25-414a-9c18-5bce7837aa3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(J_history, c=\"black\")\n",
    "plt.xlabel(\"Iterations\")\n",
    "plt.ylabel(\"Objective function (average coupling efficiency)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3432028-86a2-4abf-a6b8-639ccfbff204",
   "metadata": {},
   "source": [
    "### Design the Apodized GC\n",
    "\n",
    "For comparison with more established methods, we'll simulate a device designed using the approach introduced in the reference [paper](https://doi.org/10.1038/s41598-017-16505-z). First of all, the Bragg condition is given by \n",
    "\n",
    "$$\n",
    "p_{\\text{i}} = \\frac{\\lambda_\\text{c}}{(n_{\\text{eff,i}} - n_{\\text{c}}\\sin \\theta_{\\text{c}})},\n",
    "$$\n",
    "\n",
    "where $p_{\\text{i}}$ is the local period of the grating, $\\lambda_\\text{c}$ is the central wavelength, $n_{\\text{c}}$ is the refractive index of the cladding, $\\theta_{\\text{c}}$ is the incident angle in the cladding (~ 10 degrees from Snell's law), and \n",
    "\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",
    "\n",
    "Here $f_\\text{i}$ is the local filling fraction, $n_\\text{neff,unetch}$ is the effective index of the slab mode of the unetched waveguide (260 nm thick), and $n_\\text{neff,etch}$ is the effective index of the slab mode of the etched waveguide (100 nm thick). $n_\\text{neff,unetch}$ and $n_\\text{neff,etch}$ are determined to be about 2.9 and 2.2 by mode analysis (not shown). Furthermore, we follow a linear apodization, namely \n",
    "\n",
    "$$\n",
    "f_\\text{i} = f_\\text{0} - R \\times x,\n",
    "$$\n",
    "\n",
    "where $f_\\text{0}$ is the filling fraction of the first period, $R$ is the linear apodization factor and $x$ is the position of each tooth from the starting point of the grating. By using an initial local filling fraction $f_\\text{0}$=0.9 and apodization factor $R$=0.0025 µm$^{-1}$ we can recursively calculate $p_{\\text{i}}$ and $f_\\text{i}$ for $i=0, 1, ..., N-1$ using the equations above. The result is a grating with apodized pitch length and filling fraction.\n",
    "\n",
    "For more details on the design principles, refer to the reference [paper](https://doi.org/10.1038/s41598-017-16505-z)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "22873bb8-3612-4963-bbeb-613da109b565",
   "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)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27e30b43-888a-4e1c-bfc5-e4edf67fa6a6",
   "metadata": {},
   "source": [
    "Let's plot all of the simulations together to see how their features compare."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c499c6e2-1e08-4170-bc08-7f3e58f0c1a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "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()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0020f1a6-90f8-425e-85f1-eb8c96a33236",
   "metadata": {},
   "source": [
    "Next, we'll run each of the designs to be able to compare the coupling efficiencies directly. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "cf865b08-c428-4da9-a0c6-fe2d6decc7d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:31:17 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'apodized design'</span> with task_id                       \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-434b9d23-92a5-4284-b244-7d41a7fc5bb0'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:31:17 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'apodized design'\u001b[0m with task_id                       \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-434b9d23-92a5-4284-b244-7d41a7fc5bb0'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-434b9d23-92a5-4284-b244-7d41a7fc5bb0\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-434b9d23-92</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-434b9d23-92a5-4284-b244-7d41a7fc5bb0\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">a5-4284-b244-7d41a7fc5bb0'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=125884;https://tidy3d.simulation.cloud/workbench?taskId=fdve-434b9d23-92a5-4284-b244-7d41a7fc5bb0\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=300093;https://tidy3d.simulation.cloud/workbench?taskId=fdve-434b9d23-92a5-4284-b244-7d41a7fc5bb0\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=125884;https://tidy3d.simulation.cloud/workbench?taskId=fdve-434b9d23-92a5-4284-b244-7d41a7fc5bb0\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=735205;https://tidy3d.simulation.cloud/workbench?taskId=fdve-434b9d23-92a5-4284-b244-7d41a7fc5bb0\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=125884;https://tidy3d.simulation.cloud/workbench?taskId=fdve-434b9d23-92a5-4284-b244-7d41a7fc5bb0\u001b\\\u001b[32m-434b9d23-92\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=125884;https://tidy3d.simulation.cloud/workbench?taskId=fdve-434b9d23-92a5-4284-b244-7d41a7fc5bb0\u001b\\\u001b[32ma5-4284-b244-7d41a7fc5bb0'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=506873;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "91dc8eea48aa4a68a61201c3810b5c8c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:31:19 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:31:19 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:31:20 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:31:20 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "dc9dba6ac5b5423e89566bca717435c6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:31:27 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:31:27 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "066e2b76aa474e67bda0f49ca71cf926",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:31:32 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:31:32 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m44\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:31:33 CEST </span>status = postprocess                                              \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:31:33 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c37b2df67a094e8c93d64d30d2278c66",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:31:35 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-434b9d23-92a5-4284-b244-7d41a7fc5bb0\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-434b9d23-92</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-434b9d23-92a5-4284-b244-7d41a7fc5bb0\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">a5-4284-b244-7d41a7fc5bb0'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:31:35 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=392177;https://tidy3d.simulation.cloud/workbench?taskId=fdve-434b9d23-92a5-4284-b244-7d41a7fc5bb0\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=541572;https://tidy3d.simulation.cloud/workbench?taskId=fdve-434b9d23-92a5-4284-b244-7d41a7fc5bb0\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=392177;https://tidy3d.simulation.cloud/workbench?taskId=fdve-434b9d23-92a5-4284-b244-7d41a7fc5bb0\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=242839;https://tidy3d.simulation.cloud/workbench?taskId=fdve-434b9d23-92a5-4284-b244-7d41a7fc5bb0\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=392177;https://tidy3d.simulation.cloud/workbench?taskId=fdve-434b9d23-92a5-4284-b244-7d41a7fc5bb0\u001b\\\u001b[4;34m-434b9d23-92\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=392177;https://tidy3d.simulation.cloud/workbench?taskId=fdve-434b9d23-92a5-4284-b244-7d41a7fc5bb0\u001b\\\u001b[4;34ma5-4284-b244-7d41a7fc5bb0'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b5d82e6cc0e34b2d8fb7d66e8654c6f5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:31:36 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:31:36 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:31:37 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'optimized design'</span> with task_id                      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-c5225349-952d-4dcc-84b9-c3ee4bd1f746'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:31:37 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'optimized design'\u001b[0m with task_id                      \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-c5225349-952d-4dcc-84b9-c3ee4bd1f746'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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-c5225349-952d-4dcc-84b9-c3ee4bd1f746\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-c5225349-95</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-c5225349-952d-4dcc-84b9-c3ee4bd1f746\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">2d-4dcc-84b9-c3ee4bd1f746'</span></a>.                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=526877;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c5225349-952d-4dcc-84b9-c3ee4bd1f746\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=616840;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c5225349-952d-4dcc-84b9-c3ee4bd1f746\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=526877;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c5225349-952d-4dcc-84b9-c3ee4bd1f746\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=476496;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c5225349-952d-4dcc-84b9-c3ee4bd1f746\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=526877;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c5225349-952d-4dcc-84b9-c3ee4bd1f746\u001b\\\u001b[32m-c5225349-95\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=526877;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c5225349-952d-4dcc-84b9-c3ee4bd1f746\u001b\\\u001b[32m2d-4dcc-84b9-c3ee4bd1f746'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=115215;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "daed3791fbf847c98a06ddebdec2bb8f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:31:39 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:31:39 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:31:40 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:31:40 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "36f4ad578b4e4adaaf31efa2adc65e87",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:31:47 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:31:47 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "873631f771af417ebb9c0b2a9cc2b240",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:31:51 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:31:51 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m44\u001b[0m%, exiting.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "30d837a8e66b421092e0dc5bd1bc35df",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:31:53 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-c5225349-952d-4dcc-84b9-c3ee4bd1f746\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-c5225349-95</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-c5225349-952d-4dcc-84b9-c3ee4bd1f746\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">2d-4dcc-84b9-c3ee4bd1f746'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:31:53 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=874034;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c5225349-952d-4dcc-84b9-c3ee4bd1f746\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=732613;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c5225349-952d-4dcc-84b9-c3ee4bd1f746\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=874034;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c5225349-952d-4dcc-84b9-c3ee4bd1f746\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=634055;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c5225349-952d-4dcc-84b9-c3ee4bd1f746\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=874034;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c5225349-952d-4dcc-84b9-c3ee4bd1f746\u001b\\\u001b[4;34m-c5225349-95\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=874034;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c5225349-952d-4dcc-84b9-c3ee4bd1f746\u001b\\\u001b[4;34m2d-4dcc-84b9-c3ee4bd1f746'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3d71d519d03041fdbc8531440ef4b827",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:31:54 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:31:54 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "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\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "6aea09da-c8ff-4a59-9e6b-25198b2ec4a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "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()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1dbb83d5-8db8-4fff-b80b-1501d9a8b125",
   "metadata": {},
   "source": [
    "We see that the optimized and apodized designs both exceed that of the uniform with -2dB efficiency. However, the optimized design far outperforms in terms of bandwidth. We can also confirm that the minimal feature size is maintained above 85 nm."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "a2b87034-2bcf-427e-90ca-42aa430842e7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "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 51.0 nm\n",
      "  The maximum coupling efficiency is -1.98 dB.\n",
      "  The minimal feature size is 86.12 nm.\n"
     ]
    }
   ],
   "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.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8f85831-7130-4b86-a16a-8c0d4779991f",
   "metadata": {},
   "source": [
    "## Take the Model Further\n",
    "\n",
    "\n",
    "In this notebook, we only perform 2D simulations. A good next step would be to convert the 2D design to a 3D linear GC or focusing GC. The coupling efficiency of the 3D GC is likely slightly lower than that in 2D. Inverse design can then be applied to fine-tune it again. To minimize the footprint, one can potentially also apply shape optimization to design a compact and low-loss taper section, as demonstrated in this [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 changed over optimization, the following are a few post-processing steps to make animations and visualize the grating teeth locations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "da11c3b8-b004-48bf-9102-a48d7bfb73c7",
   "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()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "18f032ce-4e78-42ec-a6b2-45438212e9af",
   "metadata": {},
   "outputs": [
    {
     "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_imgf6f679dcb5ad4784b3d2e38d0f30ec58\">\n",
       "  <div class=\"anim-controls\">\n",
       "    <input id=\"_anim_sliderf6f679dcb5ad4784b3d2e38d0f30ec58\" type=\"range\" class=\"anim-slider\"\n",
       "           name=\"points\" min=\"0\" max=\"1\" step=\"1\" value=\"0\"\n",
       "           oninput=\"animf6f679dcb5ad4784b3d2e38d0f30ec58.set_frame(parseInt(this.value));\">\n",
       "    <div class=\"anim-buttons\">\n",
       "      <button title=\"Decrease speed\" aria-label=\"Decrease speed\" onclick=\"animf6f679dcb5ad4784b3d2e38d0f30ec58.slower()\">\n",
       "          <i class=\"fa fa-minus\"></i></button>\n",
       "      <button title=\"First frame\" aria-label=\"First frame\" onclick=\"animf6f679dcb5ad4784b3d2e38d0f30ec58.first_frame()\">\n",
       "        <i class=\"fa fa-fast-backward\"></i></button>\n",
       "      <button title=\"Previous frame\" aria-label=\"Previous frame\" onclick=\"animf6f679dcb5ad4784b3d2e38d0f30ec58.previous_frame()\">\n",
       "          <i class=\"fa fa-step-backward\"></i></button>\n",
       "      <button title=\"Play backwards\" aria-label=\"Play backwards\" onclick=\"animf6f679dcb5ad4784b3d2e38d0f30ec58.reverse_animation()\">\n",
       "          <i class=\"fa fa-play fa-flip-horizontal\"></i></button>\n",
       "      <button title=\"Pause\" aria-label=\"Pause\" onclick=\"animf6f679dcb5ad4784b3d2e38d0f30ec58.pause_animation()\">\n",
       "          <i class=\"fa fa-pause\"></i></button>\n",
       "      <button title=\"Play\" aria-label=\"Play\" onclick=\"animf6f679dcb5ad4784b3d2e38d0f30ec58.play_animation()\">\n",
       "          <i class=\"fa fa-play\"></i></button>\n",
       "      <button title=\"Next frame\" aria-label=\"Next frame\" onclick=\"animf6f679dcb5ad4784b3d2e38d0f30ec58.next_frame()\">\n",
       "          <i class=\"fa fa-step-forward\"></i></button>\n",
       "      <button title=\"Last frame\" aria-label=\"Last frame\" onclick=\"animf6f679dcb5ad4784b3d2e38d0f30ec58.last_frame()\">\n",
       "          <i class=\"fa fa-fast-forward\"></i></button>\n",
       "      <button title=\"Increase speed\" aria-label=\"Increase speed\" onclick=\"animf6f679dcb5ad4784b3d2e38d0f30ec58.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_selectf6f679dcb5ad4784b3d2e38d0f30ec58\"\n",
       "          class=\"anim-state\">\n",
       "      <input type=\"radio\" name=\"state\" value=\"once\" id=\"_anim_radio1_f6f679dcb5ad4784b3d2e38d0f30ec58\"\n",
       "             >\n",
       "      <label for=\"_anim_radio1_f6f679dcb5ad4784b3d2e38d0f30ec58\">Once</label>\n",
       "      <input type=\"radio\" name=\"state\" value=\"loop\" id=\"_anim_radio2_f6f679dcb5ad4784b3d2e38d0f30ec58\"\n",
       "             checked>\n",
       "      <label for=\"_anim_radio2_f6f679dcb5ad4784b3d2e38d0f30ec58\">Loop</label>\n",
       "      <input type=\"radio\" name=\"state\" value=\"reflect\" id=\"_anim_radio3_f6f679dcb5ad4784b3d2e38d0f30ec58\"\n",
       "             >\n",
       "      <label for=\"_anim_radio3_f6f679dcb5ad4784b3d2e38d0f30ec58\">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_imgf6f679dcb5ad4784b3d2e38d0f30ec58\";\n",
       "    var slider_id = \"_anim_sliderf6f679dcb5ad4784b3d2e38d0f30ec58\";\n",
       "    var loop_select_id = \"_anim_loop_selectf6f679dcb5ad4784b3d2e38d0f30ec58\";\n",
       "    var frames = new Array(25);\n",
       "    \n",
       "  frames[0] = \"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA+gAAAEsCAYAAABQRZlvAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90\\\n",
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       "llq1asnzzz8vvXr1kpIlS0rNmjXl008/NeXo0qWLWXfddddJQkKC33n0uXTd3r17g/CqAQCAXRDQ\\\n",
       "AQD4PxUrVpRZs2bJ2LFjTQA+ffq0PPDAAzJkyBBp165dhsetX79eYmNjc/WckydPNjXv27Ztk06d\\\n",
       "Opnn08B+//33y9atW6VOnTrmscfj8R5To0YNqVy5sqxbty5XzwkAAOyJgA4AgI/bbrtN+vXrJ/fd\\\n",
       "d58MHDhQSpQoIePHj89w/xMnTsjJkyclJiYm1883YMAAqVu3rowePVpOnTolzZs3l27dukm9evVk\\\n",
       "xIgR8v3338uRI0f8jtPn279/f66eEwAA2BMBHQCANP7xj3/IpUuXZMGCBWYwtsjIyAz3PX/+vPkZ\\\n",
       "FRWVq+fSJuwWrRVXjRo1Srfu6NGjfscVK1ZMzp07l6vnBAAA9kRABwAgDe3bnZSUZKYy+/nnnzPd\\\n",
       "t3z58lKoUCH5/fffszzv5cuX063TEdktep6M1qWdVu23334zTfIBAIB7ENABAPCRkpJi+n93795d\\\n",
       "nnvuOXn44YfT1V770gHk/vCHP8h3332XblvaZuk//fRT0KZ10y8RmjZtGpTzAQAAeyCgAwDg4+mn\\\n",
       "nzZ9ynUaM+3/rf3AH3rooUyP6dixoxkoLq1FixbJxx9/bML0Cy+8YEK89hs/dOhQnsq4adMm0+w+\\\n",
       "Li4uT+cBAAD2QkAHAOD/rF69WqZMmSLvvvuumdf8iiuuML/raOkzZszI8Li+ffvKkiVLTLD3paOy\\\n",
       "T5gwwdSwr127Vl5//XXZsmWLOWdevP/++2YQu+LFi+fpPAAAwF4KeXznbQEAALmio65ff/31MnLk\\\n",
       "SO886E2aNDGBP5iOHz8u11xzjZkGrnbt2kE9NwAACC9q0AEACIJXXnlFSpYsGfLn0UHrtCaecA4A\\\n",
       "gPtQgw4AQAiEqgYdAAC4FwEdAAAAAAAboIk7AAAAAAA2QEAHAAAAAMAGCOgAAAAAANgAAR0AAAAA\\\n",
       "ABsgoAMAAAAAYAMEdAAAAAAAbICADgAAAACADRDQAQAAAACwAQI6AAAAAAA2QEAHAAAAAMAGCOgA\\\n",
       "AAAAANgAAR0AAAAAABsgoAMAAAAAYAMEdAAAAAAAJPz+P2tfYzrEXHhuAAAAAElFTkSuQmCC\\\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",
       "        animf6f679dcb5ad4784b3d2e38d0f30ec58 = new Animation(frames, img_id, slider_id, 200.0,\n",
       "                                 loop_select_id);\n",
       "    }, 0);\n",
       "  })()\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "td.config.logging.level = \"ERROR\"\n",
    "\n",
    "# display the animation (press \"play\" to start)\n",
    "HTML(ani.to_jshtml())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "b246287c-0c2d-432c-a065-40df236b5ae5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# uncomment to save to file\n",
    "# ani.save(\"/users/twhughes/Desktop/apodized_grating_coupler.gif\", fps=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "9f1d12ed-268a-44d7-bcc8-60ffa722a4bb",
   "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"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "3892df2e-9d21-4e81-9ccf-865ac97c58b6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "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()"
   ]
  }
 ],
 "metadata": {
  "applications": [
   "Passive photonic integrated circuit components"
  ],
  "description": "This notebook demonstrates the inverse design of a grating coupler and compare the result with manual apodization.",
  "feature_image": "./img/apodized_grating_feature_image_autograd.png",
  "features": [
   "Adjoint inverse design",
   "2D simulation"
  ],
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "keywords": "inverse design, silicon photonics, grating coupler, photonic integrated circuits, design optimization, shape optimization, adjoint, Tidy3D, FDTD",
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.10"
  },
  "title": "Inverse Design of an Apodized Grating Coupler through Shape Optimization in Tidy3D | Flexcompute"
 },
 "nbformat": 4,
 "nbformat_minor": 5
}