AdjointPlugin5BoundaryGradients.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "efd36345-384e-48fc-b44d-bd01bf9cda15",
   "metadata": {},
   "source": [
    "# Inverse design optimization of a waveguide taper\n",
    "\n",
    "> Note: Tidy3D now supports automatic differentiation natively through `autograd`. The `jax`-based `adjoint` plugin will be deprecated from 2.7 onwards. To see this notebook implemented in the new feature, see [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd5BoundaryGradients/).\n",
    "\n",
    "> To install the `jax` module required for this feature, we recommend running `pip install \"tidy3d[jax]\"`.\n",
    "\n",
    "In this notebook, we will show how to use the adjoint plugin to compute the gradient with respect to the boundaries of a structure defined using a `JaxPolySlab`.\n",
    "\n",
    "We will apply this capability to design a non-adiabatic waveguide taper between a narrow and wide waveguide, based loosely on `Michaels, Andrew, and Eli Yablonovitch. \"Leveraging continuous material averaging for inverse electromagnetic design.\" Optics express 26.24 (2018): 31717-31737`.\n",
    "\n",
    "<img src=\"img/adjoint_5.png\" width=400 alt=\"Schematic of the waveguide taper\">\n",
    "\n",
    "We start by importing our typical python packages, `jax`, `tidy3d` and its `adjoint` plugin."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5cc1f2bd-ace7-449f-8260-926f76d0ea53",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pylab as plt\n",
    "import numpy as np\n",
    "import jax\n",
    "import jax.numpy as jnp\n",
    "\n",
    "import tidy3d as td\n",
    "import tidy3d.web as web\n",
    "import tidy3d.plugins.adjoint as tda\n",
    "from tidy3d.plugins.adjoint.web import run"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c95884d-328d-4834-8869-ec50262ce306",
   "metadata": {},
   "source": [
    "## Set up\n",
    "\n",
    "Next we will define some basic parameters of the waveguide, such as the input and output waveguide dimensions, taper width, and taper length."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e6f5cf37-ac64-4ab3-9659-6ad92994a22c",
   "metadata": {},
   "outputs": [],
   "source": [
    "wavelength = 1.0\n",
    "freq0 = td.C_0 / wavelength\n",
    "\n",
    "wg_width_in = 0.5 * wavelength\n",
    "wg_width_out = 5.0 * wavelength\n",
    "\n",
    "wg_medium = td.material_library[\"Si3N4\"][\"Philipp1973Sellmeier\"]\n",
    "wg_jax_medium = td.material_library[\"Si3N4\"][\"Philipp1973Sellmeier\"]\n",
    "\n",
    "wg_length = 1 * wavelength\n",
    "taper_length = 10.\n",
    "\n",
    "spc_pml = 1.5 * wavelength\n",
    "\n",
    "Lx = wg_length + taper_length + wg_length\n",
    "Ly = spc_pml + max(wg_width_in, wg_width_out) + spc_pml"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d31afd9e-2b8c-4205-859e-a0c6ca476937",
   "metadata": {},
   "source": [
    "Our taper is defined as a set of `num_points` connected vertices in a polygon. We define the fixed x positions of each vertex and then construct the y positions for the starting device (linear taper)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2e069d59-6040-476b-92cb-46520184c156",
   "metadata": {},
   "outputs": [],
   "source": [
    "num_points = 101\n",
    "x_start = -taper_length / 2\n",
    "x_end = +taper_length / 2\n",
    "xs = np.linspace(x_start, x_end, num_points)\n",
    "\n",
    "ys0 = (wg_width_in + (wg_width_out - wg_width_in) * (xs - x_start) / (x_end - x_start)) / 2.0\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "88500eef-64a9-491c-8131-ff41ccf442ff",
   "metadata": {},
   "source": [
    "Let's plot these points to make sure they seem reasonable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "65d8bf65-53c7-4820-b396-cc9e7a19b72b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(xs, +ys0, 'ko-')\n",
    "plt.plot(xs, -ys0, 'ko-')\n",
    "plt.xlabel('x')\n",
    "plt.ylabel('y')\n",
    "plt.title('taper points')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ecfdad5-32f7-47a2-b872-5ed70260268c",
   "metadata": {},
   "source": [
    "Let's wrap this in a function that constructs these points and then creates a `JaxPolySlab` for use in the `JaxSimulation`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3b82f941-9c95-4993-96c5-01d7d194383e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_taper(ys) -> tda.JaxPolySlab:\n",
    "    \"\"\"Create a JaxPolySlab for the taper based on the supplied y values.\"\"\"\n",
    "    \n",
    "    # note, jax doesnt work well with concatenating, so we just construct these vertices for Tidy3D in a loop.\n",
    "    \n",
    "    vertices = []\n",
    "    for x, y in zip(xs, ys):\n",
    "        vertices.append((x, y))\n",
    "    for x, y in zip(xs[::-1], ys[::-1]):\n",
    "        vertices.append((x, -y))\n",
    "        \n",
    "    return tda.JaxPolySlab(\n",
    "        vertices=vertices,\n",
    "        slab_bounds=(-1, 1),\n",
    "        axis=2\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ed7c2e7-9cf9-4588-9d5a-18c123b4f4d2",
   "metadata": {},
   "source": [
    "Now we'll call this function and plot the geometry for a sanity check."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "aa8ecb67-5d7e-4bab-b563-06ffc59a5167",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# sanity check to see the polyslab\n",
    "taper_geo = make_taper(ys0)\n",
    "ax = taper_geo.plot(z=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be1105e9-bffb-4eca-8e8d-7802428f8e0f",
   "metadata": {},
   "source": [
    "Next, let's write a function that generates a `JaxSimulation` given a set of y coordinates for the taper, including the monitors, sources, and waveguide geometries. The `JaxStructureStaticMedium` object allows to combine any Tidy3D medium and a `jax`-compatible geometry. This way, we can use dispersive material models from the Tidy3D material library or experimental data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a773bf03-5cf6-416c-a982-cc223cdc05d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_sim(ys, include_field_mnt: bool = False) -> tda.JaxSimulation:\n",
    "    \"\"\"Make a JaxSimulation for the taper.\"\"\"\n",
    "\n",
    "    wg_in_box = td.Box.from_bounds(\n",
    "        rmin=(-Lx, -wg_width_in/2, -td.inf),\n",
    "        rmax=(-Lx/2 + wg_length + 0.01, +wg_width_in/2, +td.inf)\n",
    "    )\n",
    "\n",
    "    wg_out_box = td.Box.from_bounds(\n",
    "        rmin=(+Lx/2 - wg_length - 0.01, -wg_width_out/2, -td.inf),\n",
    "        rmax=(+Lx, +wg_width_out/2, +td.inf)\n",
    "    )\n",
    "    \n",
    "    taper_geo = make_taper(ys)\n",
    "    \n",
    "    wg_in = td.Structure(geometry=wg_in_box, medium=wg_medium)\n",
    "    wg_out = td.Structure(geometry=wg_out_box, medium=wg_medium)\n",
    "    taper = tda.JaxStructureStaticMedium(\n",
    "        geometry=taper_geo, medium=wg_jax_medium\n",
    "    )\n",
    "    \n",
    "    mode_source=td.ModeSource(\n",
    "        center=(-Lx/2 + wg_length/2, 0, 0),\n",
    "        size=(0, td.inf, td.inf),\n",
    "        source_time=td.GaussianPulse(freq0=freq0, fwidth=freq0/10),\n",
    "        direction=\"+\",\n",
    "    )\n",
    "    \n",
    "    mode_monitor=td.ModeMonitor(\n",
    "        center=(+Lx/2 - wg_length/2, 0, 0),\n",
    "        size=(0, td.inf, td.inf),\n",
    "        freqs=[freq0],\n",
    "        mode_spec=td.ModeSpec(),\n",
    "        name='mode',\n",
    "    )\n",
    "    \n",
    "    field_monitor=td.FieldMonitor(\n",
    "        center=(0, 0, 0),\n",
    "        size=(td.inf, td.inf, 0),\n",
    "        freqs=[freq0],\n",
    "        name='field',\n",
    "    )\n",
    "\n",
    "\n",
    "    return tda.JaxSimulation(\n",
    "        size=(Lx, Ly, 0),\n",
    "        structures=[wg_in, wg_out],\n",
    "        input_structures=[taper],\n",
    "        output_monitors=[mode_monitor],\n",
    "        monitors=[field_monitor] if include_field_mnt else [],\n",
    "        sources=[mode_source],\n",
    "        run_time=100/freq0,\n",
    "        grid_spec=td.GridSpec.auto(min_steps_per_wvl=30),\n",
    "        boundary_spec=td.BoundarySpec.pml(x=True, y=True, z=False),\n",
    "    )\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b172f34b-7eb0-4562-8f56-fc3a8dddc6c1",
   "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\">14:32:12 JST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: </span><span style=\"color: #008000; text-decoration-color: #008000\">'JaxPolySlab'</span><span style=\"color: #800000; text-decoration-color: #800000\">-containing                                  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'JaxSimulation.input_structures[0]'</span><span style=\"color: #800000; text-decoration-color: #800000\"> intersects with                </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'JaxSimulation.structures[0]'</span><span style=\"color: #800000; text-decoration-color: #800000\">. Note that in this version of the    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">adjoint plugin, there may be errors in the gradient when           </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'JaxPolySlab'</span><span style=\"color: #800000; text-decoration-color: #800000\"> intersects with background structures.               </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:32:12 JST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m-containing                                  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.input_structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m intersects with                \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m. Note that in this version of the    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31madjoint plugin, there may be errors in the gradient when           \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m intersects with background structures.               \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><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Suppressed </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000\"> WARNING message.                             </span>\n",
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       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m1\u001b[0m\u001b[31m WARNING message.                             \u001b[0m\n"
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     "metadata": {},
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     "data": {
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R0dGReL25uVl861vfEjNmzBAVFRWivr5eLF68WPztb39LrPPiiy+KL37xi2LChAnC6XSKCRMmiK9//evi3//+96BjN/s+VVXFT37yE3H44YcLRVFEXV2dmDt3rli9erUIBAJp6/76178WRx99dGK9hQsXivXr1yde37t3r1i6dKlwu90CQKIdR98WHHGPPfZYYnv19fXi3HPPFZ999lnaOhdccIGoqqrq9/PdfPPNwsx/Wl9//XXxuc99TrhcLjFhwgRx7bXXiueff77feLq6usQ3vvENUVtbKwAM2o5j4cKFA7bTuPnmm4cc01B0XRe33nqrmDJlinA6neLwww8Xv/3tb/utF29Psn379rTl7e3t4qKLLhJer1dUVlaKhQsXDvhv9IknnhCzZ88WiqKIiRMnihtvvFGoqprzz0BUSvhYKCIiIqIixGvSiIiIiIoQQxoRERFREWJIIyIiIipCDGlERERERYghjYiIiKgIMaQRERERFSFLNbM1DAO7d++G2+0e9qNWiIiIiPJBCIFQKIQJEyZAlgc+XmapkLZ7927cfffdsNuTP7YkSWk7SAgBXdfR0dEx5CN28snpdCbGYRgGVFUdtc+Os9vtafsmEomM6j4AYvWIPx4GADRN6/d4otHAesSwHkmsRxLrEcN6JLEeSYqiwOPxJA4GpT7eLNWtt96KXbt2YeLEiQNuy1Ihze12w263o7KyMi2Ypf6DttvtkCQJU6dOTXvMSbZ0oaND70hbVmerg01K37aqqonn89XU1MDpdOb82cNlGAba2toAxCZ9TU3NqI8BAAKBQKImXq930L8yRgrrkcR6xLAeSaxHEusRU1L1EBrQuy99WUUjIOUnEvX09CT2hc1my5gl4s8adrvdg27LUiEtnmplWYbD4QCQfKCzLMuJo2h2ux2KouTlH3rUiMKhOdKWVdgr4JCTy1RVRWdnJ1wuFwCgu7sblZWVozrR4hPM4XBAURT09vZC1/Uh/wHlWygUgmEYqK6uRiQSQU9Pz6j/h4/1SGI9YliPJNYjifWIKbl6GCr6xR9XBSDnvs9UVUVPT08iUxiG0e8oIwBEo1EAGPLSK0vfOBCJRKBpGux2O1wuF5xOZyKoxVPuSFNVFX6/Hw6HAw0NDWhoaIDD4YDf7x+1Q9bxCRaNRtHQ0ACv1wuPx4NgMIhQKDQqYwBiEywYDMLj8cDr9aKhoQHRaBRtbW2sB+vBerAeAFiPVKxHUjHVw263w2azQVEUSJIEVVWzPu1q2ZCWGtDi57DtdnsiqHV2do54YVMnWDzty7IMr9c7ahOt7wSL//XldrtHdaKlTrD4X19Op3NUJxrrkcR6xLAeSaxHEusRw3okpdajtrYWsiwnrpHLJahZMqTFLyZMDWhxNpsNdrsdmqaNaGEzTbC40ZpoA02wuNGaaJkmWNxoTTTWI4n1iGE9kliPJNYjhvVIGqoeuQQ1y4U0WZYT54j7BrTUderq6kassFE1OmBBU8cwkhNtqAkWN9ITbbAJFjfSE22wCRbHeiSxHkmsRwzrkcR6JLEeMbkENcuFtHjLjYECWlz8HH++C2tEDXS0dwxa0LiRmmhmJ1jcSE00MxMsbqQmmpkJFsd6JLEeSaxHDOuRxHoksR4xfYOa2TFYLqQJIfrdZTGQfBfWiBqIdERgt9tN3wGU74k23AkWl++JNpwJFpfvegxngsWxHkmsRxLrEcN6JLEeSUVXj/ZOGDn2cMu2HvGgZvZomuVC2nAnSr4mWjygSXYJtfW1w7pFO18TLdsJFpeviZbNBIvLVz2ymWBxrEcS65HEesSwHkmsR1JR1UPT0BbUsw5qudZjqDN5aetnM0CryXWipQY0pVbJqodOrhMt1wkWl+tEy2WCxeVaj1wmWBzrkcR6JLEeMaxHEuuRVDT1qK9DVBdZBbV81SPeq3XIdYe9dYvKdqJF1WhaQJPk7J8Zmu1Ey9cEi8t2ouVjgsVlW498TLA41iOJ9UhiPWJYjyTWI6k46uFAg9s27KCWz3qYfX44Q9owDHeiqaqKjvaOvAS0uOFOtHxPsLjhTrR8TrC4bOqRrwkWx3oksR5JrEcM65HEeiQVRT0ccnpQK0A9zGBIGyazEy2183C+Alqc2Yk2UhMszuxEG4kJFjfceozEBGM9kliPJNYjhvVIYj2SiqIeqUGtfeAG9oUKaEAJh7Qf//jHkCQJV1111ah/9lATLa3zcH1tXgNa3FATbaQnWNxQE20kJ1jccOoxUhOM9UhiPZJYjxjWI4n1SCqKesSD2gAN7AsZ0IASDWkbN27E/fffj1mzZhVsDANNtNEs6EATbbQmWNxAE200Jlgc65HEesSwHkmsRxLrEcN6JDkdcuxmggLWYyAlF9K6urpw7rnn4pe//CXq6uoKOpa+Ey0SiYx6QftOtEgkMqoTLK7vRBvNCRbHeiSxHjGsRxLrkcR6xLAeSU6no+D1yMRcV9cisnLlSixduhRLlizBD3/4w0HXjUQiiEQiie+DwSCAWEPbgc49G4YBIQSi0ajpMdXU1KC9vR29vb2w2+3weDyJRnWa0GBo6Z8VFVEIKbdGen15PB60t7fD5/MBAOrr6wFgxB+wm0pRFFRWVqKzsxMAUF1dDUVRRnUMwOD1GC2sRxLrEcN6JLEeSaxHzKjWQ0QBrc/v4GgUkBx5qUc0Gh00ZwCxHGJGSYW03//+93j77bexceNGU+uvWbMGq1evTlvW1NQEYOCmtvGQFolEoOu6qc8xDCPxF4csy+jt7U3cXqsLvd92IloEmpTfSRh/kkI87UejUdPjz/c44vtCCIHe3t5RH8Ng9RgtrEcS65E+DtaD9UjFeqSPY1TqIXRA7ZsBVEDS81IPTdNgGEZe6lgyIW3Xrl34zne+g/Xr16OiosLUe5qamrBq1arE98FgELfeeiumTJky4Dai0SgikQj+8z//EzU1NTmPu0vvwuvB19OWHe85HtW26py3TURERMMUDQC7n01fNuF0wJH773wACAQC+Otf/wpFUQZsWms2gJZMSNu0aRN8Ph/mzJmTWKbrOl599VXcc889iEQisNlsae9RFKXf4xcMw4Ddbh/0XLuu66ipqUkc8s2FXbNDkdLHUFtbC4/dk/O2iYiIaJhUCQj1iT91tYAzf9e52+12OByOAbOG2VOoJRPSTj75ZLz//vtpyy688ELMnDkT1113Xb+ARkRERFTKSiakud1uHHHEEWnLqqqq4PV6+y0nIiIiKnUl14KDiIiIyApK5khaJi+//HKhh0BEREQ0IngkjYiIiGgUDfVA9ziGNCIiIqJRYhhGorn+UCwX0uz2kj7DS0RERCUq/mxUs82CLRnSuru7Cz0MIiIispDUh9ebbZZvuZCmaRrC4TBCoVChh0JEREQWkBrQGhoaTJ/Vs2RIq6qqQjAYHDComb2gj4iIiGgwfQPaYE886suSF2hVVlZCUZTEhXtutzvxWjQahaqqhRoaERERlYlcAhpg0ZAGJINZalBTVRUdHR39nvdJREREZJYQAkKInAIaYOGQBqQHNVVVEYlEhnz4OhEREdFgVFVFd3c3hBBZBzTAgtek9eV2u1FRUYHe3l4IIVBXVwdJkgo9LCIiIipRhmFA0zR4vd6cDvxYPqTFj6DFsT0HERER5UMwGMzpZkRLhzRVVeH3++FwODB+/Hh4PB50dXVB07RCD42IiIhKlKIoqK+vRzQaRVtbW9ZBzbIhLTWgeb1eyLIMt9uN6upqRKPRQg+PiIiISpQsy3A4HGhoaMgpqFkypGma1i+gxVVVVcHhcBRwdERERFQOnE5nTkHNciFNkiQEAoGMAS2Oz/ckIiKifMglqFkupCmKApvNNmBAIyIiIsqnbIOa5VKKYRjweDwMaERERDRqUoNavJH+UCyXVFRVZUAjIiKiURcParqum1qfaYWIiIholDidTtTU1JhalyGNiIiIaBSZvUGRIY2IiIioCDGkERERERUhhjQiIiKiIsSQRkRERFSEGNKIiIiIihBDGhEREVERYkgjIiIiKkIMaURERERFiCGNiIiIqAgxpBEREREVIYY0IiIioiLEkEZERERUhBjSiIiIiIpQyYS0tWvXYtasWfB4PPB4PDj22GPx7LPPFnpYRERERCOiZELaxIkT8eMf/xibNm3CW2+9hc9//vP44he/iA8//LDQQyMiIiIyrbu729R69hEeR96cccYZad//6Ec/wtq1a/HPf/4Thx9+uOntSJKU76ERERERmRIKhRAOh02tWzIhLZWu61i3bh3C4TCOPfbYAdeLRCKIRCKJ74PBIBRFgaZpozFMIiIiooRQKIRgMIiqqipT65fM6U4AeP/991FdXQ1FUXDppZfiiSeewGGHHTbg+mvWrEFNTU3ia9KkSTAMA4FAAKqqjuLIiYiIyMriAc3j8aCystLUe0oqpB1yyCF499138eabb+Kyyy7DBRdcgM2bNw+4flNTEwKBQOJr165dUFUVNpsNfr9/wKAmhBipH4GIiIgsJjWgud1u0+8rqdOdTqcTBx54IABg7ty52LhxI37+85/j/vvvz7i+oihQFKXfco/Hg56eHvj9fjQ0NMDpdCZeE0LwKBsRERHlRbYBDSixI2l9GYaRds2ZWbIsw+v1wuFwpB1RMwwDHR0dPJJGREREOcsloAEldCStqakJp59+OiZPnoxQKIRHH30UL7/8Mp5//vmsthcPam1tbfD7/fB6vQgGg9A0DdXV1XkePREREVmFpmkIh8Po7u7OOqABJRTSfD4fvvnNb2LPnj2oqanBrFmz8Pzzz+M//uM/st5mPKj5/X74/X4AQF1dHXRdz9ewiYiIyGKi0ShUVUVtbW3WAQ0ooZD2q1/9qtBDICIiIho1JX1NWq4Mw0BbWxs0TUvcQNDR0QHDMAo9NCIiIipRDocD1dXVCAaDCIVCWW/HsiEtHtCi0SgaGhqgKAq8Xi/sdjvv7iQiIqKs2e12VFVVwePx5BTUSuZ0Zz71DWjxFhyyLKOurg7BYLDAIyQiIqJSF78eLZ4rhnt9miVDWnxn9e2RBsSe7dl3GREREVE2cglqlgtpTqcTuq5j7NixA4YxPoSdiIiI8qVvULPZbKbeZ7mQJssyampqeLSMiIiIRk1qUMv0NKRMLBfSIpEI7HbL/dhERERUYPGg1t7ebmp9y6UVPvKJiIiICsXtdpt+pKVlW3AQERERFUJlZaWp9RjSiIiIiIoQQxoRERFREWJIIyIiIipCDGlERERERYghjYiIiKgIMaQRERFR0YpE9UIPoWAs1yeNiIiIipOmG/isPYRtvgC2+wJo9gXQETbXU8ysSoQwx/ZR2rK3X30F3Rjew88HYtN6UNsWgiF1Q8gDPP5Ji5raFkMaERERFUSwR02EsW2+Tuz0hxDVjUIPq2gwpBEREdGI0w0DuzvCaN4fyrb7AtgX6in0sIoaQxoRERHlXTgSTRwla/YFsGNfEBHNuteXZYMhjYiIiHJiCIHWQHcikDX7OrG3s7vQwyp5DGlEREQ0LL1RDTv2BVNCWQA9qlboYZUdhjQiIiIakBAC/lBPWiBr6eiCEIUeWfljSCMiIqIEVdOx0x9KO3UZ6jXXMoLyiyGNiIjIwjrCvWhuDSR6k+1qD0E3eJhsJEnC3A0UDGlEREQWEW8Wm3rqMt/NYmlwkqHDpqum1rVcSHM6nTAMNsojIqLyF+yJoNkXxHY2iy0KkqHDrvXAkMw9ldNyIU2WZQSDQVRWVkKW+ehSIiIqD4YhsLujC9vYLLYoxQOakGTokrn4ZbmQFolEoOs62tra4PV6GdSIiKgksVls6UgNaJrdBejm2pVYLqQJIVBTU4Ourq4Bg5qmsdcLEREVj3iz2NhpSzaLLSX9ApokmX6v5UIaANjtdjQ0NMDv9/cLauFwGNEobzUmIqLC6dssdrsvgG42iy05uQQ0wKIhDYjdQNA3qIXDYXR1daGqqqrQwyMiIouINYvtRbOvk81iy4UQAAzY9UjWAQ2wcEgD0oPanj17AADV1dWw2WwFHhkREZUrVdPxqT+I7b4gm8WWKUnosOsqhGzLOqABFg9pQCyoKYqC3t5eAEBlZSUiEfaMISKi/Ig3i23eF0BzawA720IweJjMEnSbM+uABpRQSFuzZg3+9Kc/YcuWLXC5XDjuuOPwk5/8BIccckhO2w2FQujt7UVFRQUikQg6OjrgcrnyNGoiIrKSeLPYePd+Nou1LiHJsGu90OwuCDm7M3QlE9JeeeUVrFy5EvPnz4emafje976HU045BZs3b876GrJQKIRgMAiPxwO32w1VVeHz+aCq5joBExGRtQV71EQYY7NYihOyHYYkw6arsGs9WQe1kglpzz33XNr3Dz30EMaMGYNNmzbhpJNOGvb2+gY0IHbqs66uDuFwOC9jJiKi8mEYAi0dXWl3XLJZLA1MgmZ3wa71ZB3USiak9RUIBAAA9fX1A64TiUTSri8LBoMAgO7ubkQikbSAFudwOOB0OkdgxEREVErizWK37wtgWyubxVIWpNyCWkmGNMMwcNVVV+H444/HEUccMeB6a9aswerVq9OWrVy5EuFwGPX19f0CWhyfQkBEZC3xZrHJB4+zWSzlSaagZvKtJRnSVq5ciQ8++AB///vfB12vqakJq1atSnwfDAZx++23o6qqasCARkRE5Y/NYmlU9Q1q5frsziuuuAJPP/00Xn31VUycOHHQdRVFgaIoacs0TUNlZeVIDpGIiIpIrFlsT8pRMjaLpQJICWo23dwNiiUT0oQQuPLKK/HEE0/g5ZdfxrRp07LaDp/LSURU3lRNx05/KNGXjM1iqWjsD2o2w9wNiiUT0lauXIlHH30UTz31FNxuN/bu3QsAqKmpYV8zIiIL69ssdld7CLrBw2RUpCQJumzuBsWSCWlr164FACxatCht+YMPPojly5eP/oCIiGjUxZrFdqU955LNYqnkmHwKQcmENMGLB4iILCe1WWyzL4BP/UE2iyXLKJmQRkRE5c0wBHZ3dKVcS8ZmsWRtDGlERFQQbBZLNDiGNCIiGnHxZrHbfQFsY7NYIlMY0oiIKO/YLJYodwxpRESUk1iz2N60Oy7ZLJYodwxpREQ0LIlmsSnPuWSzWKL8Y0gjIqJBdYR7k4GMzWKJRg1DGhERJcSaxYbSnnPJZrFEhcGQRkRkYWwWS1S8GNKIiCxCNwzs7gin3XHJZrFExYshjYioTMWbxcZDGZvFEpUWhjQiojIQbxabesclm8USlTaGNCKiEtS3WWyzL4AeNoslKg0mmwgypBERFblYs9ietEDGZrFEJUoI2AzV1KqWC2l2u+V+ZCIqMenNYmNd/NkslqgMCAG71gMIc3dQWy6x2O12dHd3o7KystBDISICsL9ZbGsAzfvYLJaobO0PaJIwoNmcpt5iuZCmaRrC4TAURYHb7S70cIjIYuLNYrftb4HBZrFEFpAa0OwuCINH0jLSNA1VVVUIBoMAkDGoGSZ3HhHRUFKbxW7zdWKnP8RmsURW0jegyTaAIW1glZWVUBQlY1CLRqNQVXMX9BERpTIMgZaOLjaLJaKYTAFtGCwZ0oBkMEsNaqqqoqOjA4qiFHJoRFQi4s1it+8LYFsrm8USUarcAhpg4ZAGpAc1VVURiURgt9vhdJq7oI+IrIPNYonILMnQYBMCEkTWAQ2weEgDkkfQent7AQB1dXWIRHgRL5HV9W0Wu90XQDebxRKRSZIwoDmyD2gAQ1riCFpcd3c3bLbsdygRlR42iyWikWDTVWiSDZCkrN5v6ZCmqir8fj8cDge8Xi/C4TA6OztRVVVV6KER0QhKbxYbO3XJZrFElC9CskG3O2DXI7BrPdDsrqyCmmVDWt+AJssy3G43NE3j3Z1EZSbeLDbem4zNYoloREkSIMnQ7C7YtZ6sg5olQ5qmaejs7EwLaHFVVVUQPMdBVLLizWJTT12yWSwRFYKQbTkFNcuFNEmSEAgEUFFR0S+gxfH5nkSlI9gTQbMviO1sFktERShjUDPJcmlEURTYbLYBAxoRFS/DENjd0ZX2SCU2iyWiYtcvqJmMX5YLaYZhwOPxMKARlYB4s9j4aUs2iyWiUpUa1GzC3LXvlgtpqqoyoBEVoXiz2NhpSzaLJaLyEw9qNjVsan3LhTQiKg5sFktEViRkG3SbuScbMaQR0Yhjs1gioiQhmWuaz5BGRHnHZrFERLkrqZD26quv4rbbbsOmTZuwZ88ePPHEE1i2bFmhh0VkefFmsc37AmhuZbNYIqJ8KKmQFg6HcdRRR+Fb3/oWzjrrrEIPh8iS2CyWiGh0lFRIO/3003H66acXehhElhLsUdPaYHzqD7JZLBHRKCipkDZckUgEkUjyL/xgMFjA0RAVv9RmsfE7LtksloioMMo6pK1ZswarV69OW3bJJZcUaDRExSfeLHb7vgC2tbJZLBFRMSnrkNbU1IRVq1Ylvg8Gg/jhD39YwBERFQ6bxRIRlZayDmmKokBRlEIPg6ggUpvFxq8pY7NYIqLSUdYhjcgqYs1ie9Hs62SzWCKiMlFSIa2rqwuffPJJ4vvt27fj3XffRX19PSZPnlzAkRGNLjaLJSIqfyUV0t566y0sXrw48X38erMLLrgADz30UIFGRTTy2CyWiMh6SiqkLVq0CILnb6jMsVksEREBJRbSiMpRarPYbb5O7PSH2CyWiIgY0ohGU2qz2HgwY7NYIiLKhCGNaASxWSwREfUlG+Zu9LJcSJMkqdBDoDLVt1nsdl8AezrDhR4WEREVEVlXYTPM9ay0XEhTFAWaxoaelLvUZrHxhrFsFktERAORdRU2XYUum4tflgtphmEgEAigoqICTqez0MOhEsFmsURElItEQLM5YQhzZ/UsF9JUVYXNZoPf70dDQ0PGoMY2H8RmsURElC9pAc3mBDRekzYgj8eDnp6ejEFNCAFVVQs4OiqEeLPY+LVkO9tCMBjWiYgoR/0C2jBYMqTJsgyv14u2tra0oGYYBjo6OiDLcqGHSCOIzWKJiGg05BLQAIuGNKB/UPN6vQgGg9A0DdXV1YUeHuVRsCeCZl9w/12XbBZLREQjTBiQhAGboWUd0AALhzQgGdT8fj/8fj8AoK6uDrrOPlalis1iiYio0CRhQDZ06HYl64AGWDykUemLN4uNn7Zks1giIioXlg5phmGgra0NmqahoaEBwWAQHR0dPN1ZpOLNYlPvuNzb2V3oYREREaURkgzDJsOmx25E5OnOYYoHtGg0mrhxwOv1wufz8e7OItG3WWyzL4AeNoslIqJiJ8kQkg26lFtQs2RIyxTQgNg1anV1dQgGgwUeofXEmsX2pAUyNoslIqJSFg9m2QY1S4a0eAjL1MxWkiQ+iWAUpDeLjXXxZ7NYIiIqN7kENcuFNKfTCV3XMXbs2AHDGB/Cnn/xZrHN+wJobg1gV3sIusHDZEREVP76BTXwsVAZybKMmpoaHi0bQfFmsaltMNgsloiIrCw9qJlrmm+5kBaJRGC3W+7HHlGpzWKbfQF86g+yWSwREVEfiaAW7TW1vuXSCh+enhvDEGjp6Epc3L+dzWKJiIhMM2xOQDfXqcByIY2Gh81iiYiI8suQHabWY0ijBDaLJSIiKh4MaRbWt1nsdl8A3WwWS0REVBQY0iwi1iy2N9GTjM1iiYiIihtDWplKbxYbO3XJZrFERESlgyGtTLBZLBERUXmxZEj7ZG8nYA9nfE0ydMhCx02P/wO63ZXzZ2m2brTXfpS27NlOB+x6Zc7bjqurUtgsloiIqMyYa3lLRY0BjYiIqPwwpBEREREVIYY0IiIioiLEkFZEhBDY3PU0PuvdBF3wTkwiIqLhaJQ+w4m2v6BRasnTFgVOsD2NmfIm2DD6v5cteeNAseo1gngvtA5R0YsquQHTXSdgSuVxqLNPhiRJhR4eERFR0XGhC4fLG3G07VVMlj6GXVIBDdinH5DztqsQxBLbOijoRQca8K5+Av6fcRz2iskARv73MkNakRHCgA0O9Ojt+H9df8KH4afhdUzH9MoTMbniGLhsNYUeIhERUUHJ0DFd+hBH2V7H4fJGVEohCEjoFZWwQ83zZxmIwgEPOvB5+59wongaLWI63tFPxAfGMQhj5H4vl1xI+8UvfoHbbrsNe/fuxVFHHYW7774bCxYsKPSwhqVH7wS0UL/lESO2zAYHHDYPhBDQRC986lb41C14W34UEyvmYJrreIxXZsEmmXtAKxERUTlolD7DLPmfONr2GurQCht0qFAQFPUwYAMAVKAHLoRRh9aM24hC6besGp1Q0P9Z1VVS7PeyDge64QKEgBO9mCJvxVR5C04Tj2KLMQfvGcfjY2MWdOT393JJhbTHHnsMq1atwn333YdjjjkGd911F0499VRs3boVY8aMKfTwTAlHOrBh733QjczntjWhQpHdAABJkuCQXHDABUMYiIowmrtfw/ae13k6lIiILKHv6UyHFIEu7OhBNTQ4+60vQ8eJtr/gRNtf+r0mIOEN/TSEUJtYVoUALnP+D+wDXHPmkFR0C/f+7ySocEEVLkgwUIEwjra9htny68nTodqCvF29NuyQdsEFF+Ciiy7CSSedlKchmHfHHXdgxYoVuPDCCwEA9913H5555hn8+te/xvXXXz/q48mGZqiIGhHY4IAs9d/9dqkCtkz/6CQZiuSGAjd0EUWP3sHToUREVJYGO50ZFm4Mdj1YQNTDBi3ja9UIQpF6EBK1iWV2RKGgF1E4oWWIRaqoQDTD72UBGT1wo0e4YUM0cTp0lvEq/iKdgV6pCmHUZtymJPShdwKyCGmBQABLlizBlClTcOGFF+KCCy7AAQfkfnHeUFRVxaZNm9DU1JRYJssylixZgjfeeCPjeyKRCCKRZKPXYDA44uM0yy45YZP6F90Mm+SAy1abOB26r8/p0IMrl2CsclieR0xERDSyqhDA52zrBz2dORQDdhgDxBsDXQO+LxbSsvu9rMOBLtQCQkCDA070wi11Yqzcgi5Rg07RgG5UA4g92cimm7tubtgtOJ588km0tLTgsssuw2OPPYapU6fi9NNPx+OPP45odORuT/X7/dB1HWPHjk1bPnbsWOzduzfje9asWYOamprE16RJk+B0OgFRHs+0lCQJDtmFSrkedklBt96GHT1v4P+F/ljooREREQ3bwfJ7OMH2DMZJn8IuaehCDbrhMR3QCk+CigrosENAhgMqPFI7GuQ9sVcNHXatB0IyF7+y6pPW2NiIVatW4b333sObb76JAw88EOeffz4mTJiAq6++Gh9//HE2m827pqYmBAKBxNeuXbsgyzJshlryQU0IgajRg7DuR9hogyzZcFDlyVhUtwqf915X6OEREREN2zvGibgvuhrPa19HmxiHSnShFvtQiRAkmDtFWDgCTvTALXXABg0CEjpFA1rEDHxmHJgW0HTZ3BG7nG4c2LNnD9avX4/169fDZrPhP//zP/H+++/jsMMOw09/+lNcffXVuWw+TUNDA2w2G1pb0+/WaG1txbhx4zK+R1EUKEr6XRyRSARuYcCu9UCzu4ACXXDfYwQgZcjIEiRUyDWQpcx/NegiCtUIQ0cUNsmJBueBmO46CVNcx8BlqxvpYRMREY0gCa1iMtbrk7FBPwsHyh9glvwPHCa/hRqpAwDQI6oQQQUGui7NhS44kPmZ1g5p4DN+1VIAhuj/e1lAQhdqIAY4mmdDFC6EYZeiiAonPjVmICC86Dbc0ORYBkkNaJrdBeiZr5nra9ghLRqN4s9//jMefPBBvPDCC5g1axauuuoqfOMb34DH4wEAPPHEE/jWt76V15DmdDoxd+5cvPjii1i2bBkAwDAMvPjii7jiiitMb0cIAd3mhF1oAwc1YeRt3H25HB4c4DoKWobz0QZ0tKmfQBcqZMmVMmYDquhGVPRAgoxKWz2muU7AVNexqHdM452dRERUdnQ4sNU4GluNo1GJIA6XN2KO7RVMlJrhkrr23+FZ1e86MqfUi1ZjMrrg6bdNISTsNA5CpZS8Nq0b1fi3cRTsGQKcDB2TpE/ghIoIkr+XY3d2dkOReiCEjADq8a52At43jsVebRxqsTVxirZfQBvG7+xhh7Tx48fDMAx8/etfx7/+9S/Mnj273zqLFy9GbW3tcDc9pFWrVuGCCy7AvHnzsGDBAtx1110Ih8OJuz3NEpINms0Bu9bTL6hJRhTSCIY0p92Fkxq+Dbte2e+1Hj2AJ1pjgTN+U4AqwhAQcMqVmFZxPKa5jseEiqOyvumAiIio1HTDg43GydhofB7jpJ04cn+vtFr4IUOHigr0oHL/0S4Jm4yFeE0/I+O2KhHCHNsrie+jqMAftCvQDXe/dasQwHXO+IGgWI80lxSGBIFeUYn39OPxrnE8PjaOSoRFG3oS788loAFZhLQ777wT55xzDioqKgZcp7a2Ftu3bx/upof01a9+Ffv27cNNN92EvXv3Yvbs2Xjuuef63UxghpBt0OyutKAmG1HY9CgMW2GbxEZECBHRxdOZREREaSTsFVOwV58y4OlQCfk/0FIpheBCF6LCic+MA/G2cRI+0I9BCAP8XhYCgAG7Hsk6oAFZhLTzzz9/2B+ST1dcccWwTm8OJjWoOaJhAIBuc0AyeddFvtkkO+xyBZyo5ulMIiKiQQx0OnS89ClU0f+pAtl9hh0qKtAtqvGuHjud2SKmYajndkpCh11XEzkj2+vfS+qJAyNByDYYsg2yoe//3j6ipzsH45SrcFrDD1Blq+fpTCIiIpNST4fWw4fgQEe4hqkXVbg3+gMERX1WPdR0mzOnGxQLc8ioiMi6CtnQYcixC/xsWuY7QkaLxz6OAY2IiCgrEtoxNuumtJm0i3FZbU9IMuxaLyQj+9Yhlg5psq7CpqvQbU7odhc0uwuSMHLaoURERGRtQrZDtyv7g1pP1rnCsiEtNaAZtlhCjp07rgBQ2o1uiYiIqNAkaHZXTkHNktekTfA4EYlE4PE0wO1Ov+VWVVV0d3fj6rOPQ319fc6fFdSC+Ftneu+VJbUL4bH379+SjVCPihc/3IlmXwA79gUR1QtzPR0RERH1IUn9OkkI2fwjriwX0ux2O8LhMOrr6/sFtDhZLp0DjG6XE8vmHQgA0A0Dn7V3YVtrANt9ATTvC6C9q7fAIyQiIrKwTEHN5FstGdKqqqoGDGilzCbLmNLgwZQGD3D4JABAZ3cEza2daPYF0ezrxK62EDSDp3OJiIhGTd+gJpmLX5YLaZqmobKyf7f/clVbqWDOtLGYMy3W8Deq6djZFkKzL5D4Cvb0f0QVERER5VFKULNleDRkJpYMaVbmsNswY2wtZoytBRB7/FR7Vy+2+WKnSLf5Amhp74IheLSNiIgor/YHNZsRNrW65UIapZMkCV63C163CwtmjAMARKI6PvUH0462hSP9HzxLREREwyRJ0GVzfdcY0qgfxWHDwePrcPD4WMdmIQR8wR40+zoToW1PR5iNSoiIiLJh8ikEDGk0JEmSMLamEmNrKnHsQRMAAD2qFruDdP9dpNt9AfRG2QSYiIgoXxjSKCsupx2HTfTisIleAIBhCOzpDO8/2ha7k9QX7CnwKImIiEoXQxrlhSxLOKC+GgfUV+PEmbFlXb1q2nVtbLZLRERkHkMajZjqCidmTW7ErMmNAJLNdlODG5vtEhERZcaQRqMmtdnu4sNSmu3ub//R7Atgpz/IZrtERERgSKMCq61UMGfqGMyZOgZAstluvGcbm+0SEZFVMaRRUUlttrsE/ZvtNvsC+IzNdomIyAIY0qioDdRsd4c/gGZfcH9w60Q4Yu0nSRARUflhSKOSozhsOGR8PQ4ZXw+AzXaJiKg8MaRRyWOzXSIiKkcMaVSWBm62m2z/4Qt2F3iUREREA2NII0tIb7Z7AAAg1KNi+z422yUiouLEkEaW5XZlbrab2v6DzXaJiKhQGNKI9ktttrsotdlua+x5pNv3sdkuERHlgck2UgxpRIOorVQwZ9pYzJk2FgCb7RIRUY6EgM0w93vDciHNbrfcj0x5lKnZbltXb+LRVtt8AbSw2S4REWUiBOxaDyDMXf9sucRit9vR3d2NysrKQg+FyoAkSWhwu9DQp9nup/5gyp2kbLZLRGR5+wOaJAxoNqept1gupGmahnA4DEVR4Ha7Cz0cKkOKw4aDx9fh4PF1AGJH21qD3bG+ba2xvm1stktEZCGpAc3ugjB4JC0jTdNQVVWFYDAIABmDmmFy5xGZIUkSxtVUYVxNVeZmu74Atu9js10iorLUN6DJNoAhbWCVlZVQFCVjUItGo1BVXghOIytTs93dnV37g1sQzb5O+II9BR4lERHlJFNAGwZLhjQgGcxSg5qqqujo6ICiKIUcGlmQLEuYWO/GxHo3TpwZW8Zmu0REpSy3gAZYOKQB6UFNVVVEIhHY7XY4neYu6CMaSQM1221OubaNzXaJiIqPZGiwCQEJIuuABpRQSPvRj36EZ555Bu+++y6cTic6Ozvzst34EbTe3tgvu7q6OkQikbxsmyifUpvtLk5tthsPbb5O7GoLsdkuEVERkIQBzZF9QANKKKSpqopzzjkHxx57LH71q1/ldbupoay7uxs2W/Y7lGg01VYqmDN1DOZMHQOAzXaJiIqJTVehSTZAkrJ6f8mEtNWrVwMAHnroobxtU1VV+P1+OBwOeL1ehMNhdHZ2oqqqKm+fQTSaMjXbbd/fbLeZzXaJiEaFkGzQ7Q7Y9QjsWg80uyuroFYyIS3f+gY0WZbhdruhaRrv7qSyIUkSvG4XvG4X5qc0293hj91Fup3NdomI8k+SAEmGZnfBrvVkHdTKOqRFIpG0U5nxOzk1TUNnZ2daQIurqqqC4FEGKmOKw4ZDxtfjkPH1APo0293/xWa7RES5E7Itp6AmD73KyLn++ushSdKgX1u2bMl6+2vWrEFNTU3ia9KkSZAkCYFAIGNAi+PzPclK4s12jz1oAs49/lD8z5c+h9vPPQlXnjIbS2dPw6ET6lHh4HWaRETZiAc1SRj7n9tp/k/ggqaRa665BsuXLx90nenTp2e9/aamJqxatSrxfTAYxO233w6bzTZgQCMioFJx9Gu2u6cznPY8UjbbJSIyp98RNZPxq6AhrbGxEY2NjSO2fUVR+jWmNQwDHo+HAY1oGGRZwgH11TigvhonzjwAAJvtEhENR2pQswlz176XzHm9nTt3or29HTt37oSu63j33XcBAAceeCCqq6tNb0dVVQY0ojwYtNnu/i822yUiSooHNZsaNrV+yYS0m266Cb/5zW8S3x999NEAgJdeegmLFi0q0KiIKC5js91wL5r3BdHcGnuI/E5/kM12icjShGyDbjP3ZKOSCWkPPfRQXnukEdHIq62qwJyqCjbbJSJKISRzN2OVTEgjotKXqdlu2/5mu9vZbJeIKA1DGhEVjCRJaHC70OB2YUFKs91P/UFs2x/c2GyXiKyKIY2IiorisOHg8XU4eHwdgD7NdlsDaN7HZrtEZA0MaURU1OLNduMNdwGgOxLFDn8wEdq2+wLojeoFHikRUX4xpBFRyalUHDjsAC8OO2CgZrsB+ILdBR4lEVFuGNKIqOSZabb7qT8IVWOzXSIqHQxpRFSWBmq2m9r+g812iaiYMaQRkSWkNttdFG+22x2JHWljs10iKkIMaURkWbWVCuZMHZPWbHdXexeaWzvRvC+Aba1stktEhcOQRkS0n8Nuw/QxNZg+pgZArP1H+/5mu/Gvz9hsl4hGCUMaEdEAJEmC1+2C1+3C/D7NdpPBjc12iWhkMKQREQ3DoM1293+x2S4R5QNDGhFRDjI12+1RtVj7DzbbJaIcMKQREeWZy2lns10iyhlDGhHRCMvUbLerV8V2XxDbfJ1o9gWwY18QUZ3NdomsQDaiptazXEiTJKnQQyAiQnWFE0dObsCRkxsAJJvtph5tY7NdovIj6ypshrmbjSwX0hRFgabxTiwiKi6pzXYXs9kuUVmSdRU2XYUum4tflgtphmEgEAigoqICTqez0MMhIhpQpma7O9tCaY+2YrNdotKQCGg2Jwxh7qye5UKaqqqw2Wzw+/1oaGjIGNQEG1USURFy2G2YMbYWM8bWYgn6N9vd5gughc12iYpOWkCzOQGN16QNyOPxoKenJ2NQE0JAVfmXKREVv8Ga7W7zBfb3bmOzXaJC6hfQhsGSIU2WZXi9XrS1taUFNcMw0NHRAVmWCz1EIqKsZGq26wv2oHn/XaRstks0enIJaIBFQxrQP6h5vV4Eg0Fomobq6upCD4+IKC8kScLYmkqMralks12i0SIMSMKAzdCyDmiAhUMakAxqfr8ffr8fAFBXVwdd53+siKh8Dd1stxO+YE+BR0lUuiRhQDZ06HYl64AGWDykERFR5ma7oR41drRtf3Bjs12i0WfpkGYYBtra2qBpGhoaGhAMBtHR0cHTnURkeW6XE7MmN2LW5EYAGZrttgbQHmazXaJMhCTDsMmw6bEbEXm6c5jiAS0ajSZuHPB6vfD5fLy7k4ioDzbbJRoGSYaQbNCl3IKaJUNapoAGxK5Rq6urQzAYLPAIiYiKX79mu7qBXW0hNLd2stkuEZLBLNugZsmQFg9hmZrZSpLEJxEQEWXBYZMxfUwNpo+pSWu2G+/Zxma7ZEW5BDXLhTSn0wld1zF27NgBwxgfwk5ElLvUZrsL2GyXLKxfUAMfC5WRLMuoqanh0TIiogLI1Gy3NdgdC2z7+7ax2S6Vo/SgZq5pvuVCWiQSgd1uuR+biKgoSZKEcTVVGFdTlbnZri92UwKb7VI5SAS1qLk7oy2XVvjwdCKi4jZws91ONPuCbLZLJc2wOQHd3Cl+y4U0IiIqLenNdmPL2GyXSpkhO0ytx5BGREQlZ8hmu74A2rvYbJdKW0mEtB07duAHP/gBNmzYgL1792LChAk477zzcMMNN/AGACIiGrLZbrOvEzvbQtDZbJdKSEmEtC1btsAwDNx///048MAD8cEHH2DFihUIh8O4/fbbCz08IiIqQv2a7Wo6draFEj3b2GyXil1JhLTTTjsNp512WuL76dOnY+vWrVi7di1DGhERmeKw2zBjbC1mjK1ls10qCSUR0jIJBAKor68fdJ1IJIJIJJL4no97IiKiODbbpWJXkiHtk08+wd133z3kUbQ1a9Zg9erVacsuueSSkRwaERGVsEzNdn3Bnlj7j9bY0ba9nWy2S6PDXMvbEXL99ddDkqRBv7Zs2ZL2npaWFpx22mk455xzsGLFikG339TUhEAgkPjatWvXSP44RERUZiRJwtiaShx70ASce8KhuOmsz+H2c0/ClafMxtLZ03DohHpUOGyFHiaVqYIeSbvmmmuwfPnyQdeZPn164v/v3r0bixcvxnHHHYcHHnhgyO0rigJFUXIdJhERUUKl4sBhE704bGLmZrvbfJ3Yx2a7lAcFDWmNjY1obGw0tW5LSwsWL16MuXPn4sEHH4QsF/QgIBEREQA226WRUxLXpLW0tGDRokWYMmUKbr/9duzbty/x2rhx4wo4MiIiov4Gbba7/5mk7WE226XBlURIW79+PT755BN88sknmDhxYtprfBYnEREVOzPNdne1haCx2S6lKImQtnz58iGvXSMiIiolmZrt7mrvQnNrJ5r3xcJbgM12La0kQhoREVG5c9htmD6mBtPH1ADY32w33Js4Pcpmu9bDkEZERFSEJEmCt9oFb7UL8/s02019kHw4Ei3wSGmkMKQRERGViEGb7foC2NbKZrulQBK6qfUY0oiIiEpUvNluvOEuAPSoWqz9R2sAzftij7fqjZoLBTTyJEOHTTd3raHlQprT6YRhsFcNERGVJ5fTjsMO8OKwA1Ka7QbCiWvbmn2d8LHZbkFIhg671gNDMtfr1XIhTZZlBINBVFZWsiEuERGVPVmWcEBdNQ6oq8aJMw8A0L/Z7qf+IFSNBzBGUjygCUmGLpmLX5YLaZFIBLquo62tDV6vl0GNiIgsZ9Bmu/t7t7HZbv6kBjTN7gJ0zdT7LBfShBCoqalBV1fXgEFN08ztPCIionLAZrsjp19AkyTT77VcSAMAu92OhoYG+P3+fkEtHA4jGuXtzEREZG39mu3qBna1hdDc2olt+4+4Bdlsd1C5BDTAoiENiN1A0DeohcNhdHV1oaqqqtDDIyIiKioOm5xotrsE+5vtdvVimy92Bymb7aYQAoABux7JOqABFg5pQHpQ27NnDwCguroaNputwCMjIiIqbpIkwet2wet2YUGfZrvb9t9Fut0XQDhivUuIJKHDrqsQsi3rgAZYPKQBsaCmKAp6e2MXSFZWViISiRR4VERERKVnqGa7zb4A9nRYp9mubnNmHdAAhjSEQiH09vaioqICkUgEHR0dcLlchR4WERFRyRuy2a4vgO37yrPZrpBk2LVeaHYXhJzdGTpLh7RQKIRgMAiPxwO32w1VVeHz+aCqvBCSiIhoJGRsttsZTnkeaek32xWyHYYkw6arsGs9WQc1y4a0vgENiJ36rKurQzgcLvDoiIiIrEGWJRxQX40D6jM3233+/31a4BFmS4Jmd8Gu9WQd1CwZ0rq7uxGJRNICWpzD4YDT6SzQyIiIiCi12e6yeQfmd+NqB7DTl7bo3MkLAWddXjbf3t6OdetaUFFRkXgUZVtbG6LRKBoa6uF0OtHd3W1qW5Zrt2+32xEOhzMGtDg+hYCIiIjyQZZleL1eOBwO+P3+YV1SZbk0YrfbUVVVNWBAIyIiIsqnvkHN7JONLBfSNE1DZWVloYdBREREFpIa1AKBgLn3jPCYig6fy0lERESFEA9qZpvmWy6kERERERWKLMvweDzm1h3hsRARERFRCrM3KDKkERERERUhhjQiIiKiIsSQRkRERFSEGNKIiIiIihBDGhEREVERYkgjIiIiKkIMaURERERFiCGNiIiIqAgxpBEREREVIYY0IiIioiLEkEZERERUhEompJ155pmYPHkyKioqMH78eJx//vnYvXt3oYdFRERENCJKJqQtXrwYf/jDH7B161b88Y9/xLZt23D22WcXelhEREREI8Je6AGYdfXVVyf+/5QpU3D99ddj2bJliEajcDgcBRwZERERkXmGYZhar2RCWqr29nY88sgjOO644wYNaJFIBJFIJPF9MBgcjeERERERZWQYhuk8UjKnOwHguuuuQ1VVFbxeL3bu3Imnnnpq0PXXrFmDmpqaxNekSZNgt5dkLiUiIqISZxgG2traoOu6qfULGtKuv/56SJI06NeWLVsS63/3u9/FO++8gxdeeAE2mw3f/OY3IYQYcPtNTU0IBAKJr127dsFut6O7u3s0fjwiIiIiAMmAFo1GUVNTY+o9BT2sdM0112D58uWDrjN9+vTE/29oaEBDQwMOPvhgHHrooZg0aRL++c9/4thjj834XkVRoChK2jJN0xAOh6EoCtxud84/AxEREdFgUgNaQ0MDNE0z9b6ChrTGxkY0NjZm9d74RXep15yZoWkaqqqqEueDMwU1sxf0EREREQ2mb0BzOp2lEdLMevPNN7Fx40accMIJqKurw7Zt2/A///M/mDFjxoBH0QZTWVkJRVEyBrVoNApVVfM2diIiIrKmTAFtOErixoHKykr86U9/wsknn4xDDjkEF110EWbNmoVXXnml3+lMs9xuNzweD4LBIEKhEABAVVV0dHRAkqR8Dp+IiIgsRAgBIUROAQ0okSNpRx55JDZs2JD37caPoAWDQaiqikgkArvdntWOJCIiIgJiB326u7shhMg6oAElciRtJLndblRUVKC3txdCCNTV1fFIGhEREWXNMAxomgav15vTgR/Lh7T4EbQ4tucgIiKifAgGgzndjGjpkKaqKvx+PxwOB8aPHw+Px4Ouri7Td10QERER9aUoCurr6xGNRtHW1pZ1ULNsSEsNaF6vF7Isw+12o7q6GtFotNDDIyIiohIlyzIcDgcaGhpyCmqWDGmapvULaHFVVVV8YDsRERHlzOl05hTULBfSJElCIBDIGNDi+HxPIiIiyodcgprlQpqiKLDZbAMGNCIiIqJ8yjaoWS6lGIYBj8fDgEZERESjJjWoxZ94NBTLJRVVVRnQiIiIaNTFg5qu66bWZ1ohIiIiGiVOpxM1NTWm1mVIIyIiIhpFZm9QZEgjIiIiKkIMaURERERFiCGNiIiIqAgxpBEREREVIYY0IiIioiLEkEZERERUhBjSiIiIiIoQQxoRERFREWJIIyIiIipCDGlERERERYghjYiIiKgIMaQRERERFSGGNCIiIqIixJBGREREVIQY0oiIiIhGUXd3t6n1LBfSJEkq9BCIiIjIokKhEMLhsKl1LRfSFEWBpmmFHgYRERFZTCgUQjAYRFVVlan1LRfSDMNAIBCAqqqFHgoRERFZRDygeTweVFZWmnqP5UKaqqqw2Wzw+/0DBjUhxCiPioiIiMpVakBzu92m32e5kAYAHo8HDocjY1ATQvAoGxEREeVFtgENsGhIk2UZXq+3X1AzDAMdHR08kkZEREQ5yyWgARYNaUD/oBaJRNDW1gZN0+B0Ogs9PCIiIipRmqYhHA7nFNCAEgxpkUgEs2fPhiRJePfdd3PaVjyo2e32xBG1uro6yHLJ7RYiIiIqEtFoFF1dXTkFNKAEQ9q1116LCRMmFHoYRERERCOqpELas88+ixdeeAG33357XrZnGEbiFGdDQwOcTic6OjpgGEZetk9ERETW43A4UF1djWAwiFAolPV27Hkc04hqbW3FihUr8OSTT5ruLxKJRBCJRBLfB4NByLIMTdMQiUTQ0dEBTdNQV1cHSZLg8XjQ1taGnp4eBAKBvIy7S+9CJBhJW9YpOqHZ2FCXiIho1EUDQKjP7+COTsCRn5sG4/khfn17Z2cnNE1La2Brtql+SYQ0IQSWL1+OSy+9FPPmzcOOHTtMvW/NmjVYvXp12rKmpib4/X4YhgEhROJ6tDjDMKDrOp544gm4XK6cr0/ThY6Qnp6iO2wdsEk2aJqGaDQKh8MBuz29FIO9lk+GYUBVVUiSBKfTmfbYrMFey6d42xMhBJxOZ9o+H+y1fGM9YliPJNYjifWIYT2SSrYeQgfUjvQNOZ8FJFvW40jd50AsmEmSlDgw5Pf70d7enqiH2TN2BQ1p119/PX7yk58Mus5HH32EF154AaFQCE1NTcPaflNTE1atWpX4PhgMYu3atYkE63Q6YbP1L4oQAkIIdHV1oa6uLrHTs6EJDd1a+oNUFbuCSHcE4XAY1dXVAz4eIhwOo6ura9B1chGNRhEMBmG32xNHE/tyOBzo6OiArusDrpMLIUTaEc1M+7qiogIdHR15qcdAwuEw6wHWIxXrkcR6xLAeSSVdDxFFv6u9KpyAlF2t+tYjGo1CluVESHM6nVBVFbquA4hlj5IIaddccw2WL18+6DrTp0/Hhg0b8MYbb0BRlLTX5s2bh3PPPRe/+c1vMr5XUZR+74mHMkVRBv0Lo76+HqFQCIFAIHG9WjYkQ4Ispf9jiPRE0N3djdra2kHv+nA6nbDb7YmJkMsdIn2pqopAIABFUeD1egf8i8/pdCbalASDwUHXHa74NYGGYWDMmDGD7uMxY8agra0t53pkEgqFWA+wHqlYjyTWI4b1SCr5ejgcgNYnMDocgDz8Og1Uj3hAi/+8FRUViEQiiSNuZveDJEqgc+vOnTsRDAYT3+/evRunnnoqHn/8cRxzzDGYOHGiqe0Eg0HcfvvtGcNbnGEYMAwD48ePh91uR1tbG6LRaNYTLWpE4deSp1Oj4SiksITamsEnWKpcm+H1paoq/H4/HA6H6UmTzXsGE59gw9m32bxnKNnsW9Yj+/cMhfWIYT2SWI8k1iMm53rU18Cp+9NXcI0fdkgbaN+qqoo9e/akhbS4eFCTZRk33XQTAoEAPB7PgJ9REnd3Tp48GUcccUTi6+CDDwYAzJgxw3RAizMMw/Q/kIGeTJCtaDiKaFcU1e7qYU0Wt9sNj8eT810iQPaTxel0oqGhAdFoNPHXS7ay/Y9XvuuR7X+8WI8Y1iOJ9UhiPWJYj6Siq0d7B9Robl0csq1H/Cye2X1QEiEtn4Z74DBfEy0e0BzVDlS7q4f9/nxMtFz/msnHRMv1r8t81SPXvy5ZjxjWI4n1SGI9YliPpKKqh90Of0jPOqjlWg9FUcwfLBr21ovA1KlTIYTA7NmzR+Xzcp1oqQHNUZX9RaS5TLR8HW7OZaLl6/B/rvXI1+F/1iOG9UhiPZJYjxjWI6lo6lFfC4dNyiqo5aseZu+6LcmQVgjZTrSuUFdeAlpcNhMt39cDZDPR8n19Rrb1yPf1GaxHDOuRxHoksR4xrEdS0dTDYxt2UMt3PcxgSBuG4U60UCiErlBX3gJa3HAmWr4nWNxwJtpIXEALZFePkZhgrEcM65HEeiSxHjGsR1JR1EOS0oOaGh10/UIENIAhbdjMTrR4Qavd1XkNaHFmJtpITbA4MxNtpCZY3HDrMVITjPWIYT2SWI8k1iOG9UgqinqkBrX2joLVY9AxjuqnlYmhJlpqQbO5ScCswSbaSE+wuMEm2khPsLjh1GMkJxjrEcN6JLEeSaxHDOuRVBT1iAe1/U8fKlQ9BhzfqH9imRhooo12QTNNtNGaYHGZJtpoTbA41iOJ9UhiPWJYjyTWI4n1iJElKXYzQYHrkUlJPLuzWMUnWltbG/x+PxRFQW9v76gXNP5ZwWAQqqoiEomM2gSLi080v9+feBaqpmmjMsHiWI8k1iOJ9YhhPZJYjyTWI6ZY6tFvXAX75DIRL6wQAr29vaioqChIQd1uNyoqKtDb2wshxKhOsDin0wmv14toNIpoNAqv1ztqEyyO9UhiPZJYjxjWI4n1SGI9YoqlHmljKuinl4lwOJz4/5FIJOfO0tmI/wWUaUyjxTCMtMd3BYPBnDpLZ4v1iGE9kliPJNYjhvVIYj2SiqEeqRjScpR6znr8+PF5ewTIcKReQzB+/Pi8PQJkOFKvIWhsbERjY2NeHgEyXKxHDOuRxHoksR4xrEcS65FUDPXoiyEtB30vKsz3s9rMyHSRZz6f1WZGpos88/msNrNYjxjWI4n1SGI9YliPJNYjKRQKF7wemVjqxoH4czsNw0A0mrlxXXyd+JPqB9Ld3Y1wOIyqqirYbDZ0d3cnXnO5XIhGo2htbUWVpwpRKf2zem29/ZZlQ9M0BAIB2Gw2uFwu9Pb2Jl6z2WxQFAXt7e2IRCKorKzM+fMyiR+i1nUdNTU10DQtbb9VV1cjEAhg79698Hg8I3adg9l61NTUmH4cx3CxHkmsRwzrkcR6JLEeMQWrh9CA3uTndEcMhKMBVFVV56Ueuq7DMAwIIaDresZ14sFzqOeJS2K4TxwvYZ999hkmTZpU6GEQERERYdeuXZg4ceKAr1sqpBmGgd27d8PtdkOSpIzrBINBTJo0Cbt27YLH4xnlEZY/7t+Rxf078riPRxb378ji/h15ZvaxEAKhUAgTJkwY9AihpU53yrI8aGJN5fF4+A94BHH/jizu35HHfTyyuH9HFvfvyBtqH9fU1Ay5Dd44QERERFSEGNKIiIiIihBDWh+KouDmm2+GoiiFHkpZ4v4dWdy/I4/7eGRx/44s7t+Rl899bKkbB4iIiIhKBY+kERERERUhhjQiIiKiIsSQRkRERFSEGNKIiIiIihBD2hCeeeYZHHPMMXC5XKirq8OyZcsKPaSyE4lEMHv2bEiShHfffbfQwykbO3bswEUXXYRp06bB5XJhxowZuPnmmwv2oOBy8Itf/AJTp05FRUUFjjnmGPzrX/8q9JDKxpo1azB//ny43W6MGTMGy5Ytw9atWws9rLL14x//GJIk4aqrrir0UMpGS0sLzjvvPHi9XrhcLhx55JF46623ctomQ9og/vjHP+L888/HhRdeiPfeew+vv/46vvGNbxR6WGXn2muvxYQJEwo9jLKzZcsWGIaB+++/Hx9++CHuvPNO3Hffffje975X6KGVpMceewyrVq3CzTffjLfffhtHHXUUTj31VPh8vkIPrSy88sorWLlyJf75z39i/fr1iEajOOWUUxAOhws9tLKzceNG3H///Zg1a1ahh1I2Ojo6cPzxx8PhcODZZ5/F5s2b8bOf/Qx1dXW5bVhQRtFoVBxwwAHi//7v/wo9lLL217/+VcycOVN8+OGHAoB45513Cj2ksvbTn/5UTJs2rdDDKEkLFiwQK1euTHyv67qYMGGCWLNmTQFHVb58Pp8AIF555ZVCD6WshEIhcdBBB4n169eLhQsXiu985zuFHlJZuO6668QJJ5yQ9+3ySNoA3n77bbS0tECWZRx99NEYP348Tj/9dHzwwQeFHlrZaG1txYoVK/Dwww+jsrKy0MOxhEAggPr6+kIPo+SoqopNmzZhyZIliWWyLGPJkiV44403Cjiy8hUIBACA/17zbOXKlVi6dGnav2XK3Z///GfMmzcP55xzDsaMGYOjjz4av/zlL3PeLkPaAJqbmwEA3//+93HjjTfi6aefRl1dHRYtWoT29vYCj670CSGwfPlyXHrppZg3b16hh2MJn3zyCe6++25ccsklhR5KyfH7/dB1HWPHjk1bPnbsWOzdu7dAoypfhmHgqquuwvHHH48jjjii0MMpG7///e/x9ttvY82aNYUeStlpbm7G2rVrcdBBB+H555/HZZddhm9/+9v4zW9+k9N2LRfSrr/+ekiSNOhX/FoeALjhhhvw5S9/GXPnzsWDDz4ISZKwbt26Av8Uxcvs/r377rsRCoXQ1NRU6CGXHLP7OFVLSwtOO+00nHPOOVixYkWBRk5kzsqVK/HBBx/g97//faGHUjZ27dqF73znO3jkkUdQUVFR6OGUHcMwMGfOHNx66604+uijcfHFF2PFihW47777ctquPU/jKxnXXHMNli9fPug606dPx549ewAAhx12WGK5oiiYPn06du7cOZJDLGlm9++GDRvwxhtv9Hu22bx583Duuefm/NdHOTO7j+N2796NxYsX47jjjsMDDzwwwqMrTw0NDbDZbGhtbU1b3trainHjxhVoVOXpiiuuwNNPP41XX30VEydOLPRwysamTZvg8/kwZ86cxDJd1/Hqq6/innvuQSQSgc1mK+AIS9v48ePT8gIAHHroofjjH/+Y03YtF9IaGxvR2Ng45Hpz586FoijYunUrTjjhBABANBrFjh07MGXKlJEeZskyu3//93//Fz/84Q8T3+/evRunnnoqHnvsMRxzzDEjOcSSZ3YfA7EjaIsXL04cCZZlyx08zwun04m5c+fixRdfTLThMQwDL774Iq644orCDq5MCCFw5ZVX4oknnsDLL7+MadOmFXpIZeXkk0/G+++/n7bswgsvxMyZM3HdddcxoOXo+OOP79cy5t///nfOecFyIc0sj8eDSy+9FDfffDMmTZqEKVOm4LbbbgMAnHPOOQUeXembPHly2vfV1dUAgBkzZvCv5zxpaWnBokWLMGXKFNx+++3Yt29f4jUe/Rm+VatW4YILLsC8efOwYMEC3HXXXQiHw7jwwgsLPbSysHLlSjz66KN46qmn4Ha7E9f61dTUwOVyFXh0pc/tdve7vq+qqgper5fX/eXB1VdfjeOOOw633norvvKVr+Bf//oXHnjggZzPXjCkDeK2226D3W7H+eefj56eHhxzzDHYsGFD7n1PiEbB+vXr8cknn+CTTz7pF3yFEAUaVen66le/in379uGmm27C3r17MXv2bDz33HP9biag7KxduxYAsGjRorTlDz744JCn94kKbf78+XjiiSfQ1NSEW265BdOmTcNdd92Fc889N6ftSoL/tSYiIiIqOrxAhYiIiKgIMaQRERERFSGGNCIiIqIixJBGREREVIQY0oiIiIiKEEMaERERURFiSCMiIiIqQgxpREREREWIIY2IiIioCDGkERERERUhhjQioiHs27cP48aNw6233ppY9o9//ANOpxMvvvhiAUdGROWMz+4kIjLhr3/9K5YtW4Z//OMfOOSQQzB79mx88YtfxB133FHooRFRmWJIIyIyaeXKlfjb3/6GefPm4f3338fGjRuhKEqhh0VEZYohjYjIpJ6eHhxxxBHYtWsXNm3ahCOPPLLQQyKiMsZr0oiITNq2bRt2794NwzCwY8eOQg+HiMocj6QREZmgqioWLFiA2bNn45BDDsFdd92F999/H2PGjCn00IioTDGkERGZ8N3vfhePP/443nvvPVRXV2PhwoWoqanB008/XeihEVGZ4ulOIqIhvPzyy7jrrrvw8MMPw+PxQJZlPPzww3jttdewdu3aQg+PiMoUj6QRERERFSEeSSMiIiIqQgxpREREREWIIY2IiIioCDGkERERERUhhjQiIiKiIsSQRkRERFSEGNKIiIiIihBDGhEREVERYkgjIiIiKkIMaURERERFiCGNiIiIqAgxpBEREREVof8PkeM0em5oN4MAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim = make_sim(ys0)\n",
    "ax = sim.plot(z=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff921bb6-2e73-4966-b12a-e2fac9fc1c31",
   "metadata": {},
   "source": [
    "> Note: we get a warning because the polyslab edges in x intersect with the waveguides. We can ignore this warning because we don't actually care about the gradient w.r.t these edges."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93fe3cdc-b7dc-4d99-8098-efef06eb11c2",
   "metadata": {},
   "source": [
    "## Defining Objective\n",
    "\n",
    "Now that we have a function to create our `JaxSimulation`, we need to define our objective function.\n",
    "\n",
    "We will try to optimize the power transmission into the fundamental mode on the output waveguide, so we write a function to postprocess a `JaxSimulationData` to give this result."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "cedf9565-02e0-441d-a485-12e15235de44",
   "metadata": {},
   "outputs": [],
   "source": [
    "def measure_transmission(sim_data: tda.JaxSimulationData) -> float:\n",
    "    \"\"\"Measure the first order transmission.\"\"\"\n",
    "    amp_data = sim_data['mode'].amps\n",
    "    amp = amp_data.sel(f=freq0, direction=\"+\", mode_index=0)\n",
    "    return abs(amp) ** 2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ddb0e8e-2927-4ff4-8d8a-41a141fd8702",
   "metadata": {},
   "source": [
    "Next, we will define a few convenience functions to generate our taper `y` values passed on our objective function parameters.\n",
    "\n",
    "We define a set of parameters that can range from -infinity to +infinity, but project onto the range [`wg_width_out` and `wg_width_in`] through a `tanh()` function.\n",
    "\n",
    "We do this to constrain the taper values within this range in a smooth and differentiable way.\n",
    "\n",
    "We also write an inverse function to get the parameters given a set of desired `y` values and assert that this function works properly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b014fa68-37df-40e6-88a7-60e572dd55e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_ys(parameters: np.ndarray) -> np.ndarray:\n",
    "    \"\"\"Convert arbitrary parameters to y values for the vertices (parameter (-inf, inf) -> wg width of (wg_width_out, wg_width_in).\"\"\"\n",
    "    \n",
    "    params_between_0_1 = (jnp.tanh(np.pi * parameters) + 1.0) / 2.0\n",
    "    \n",
    "    params_scaled = params_between_0_1 * (wg_width_out - wg_width_in) / 2.0\n",
    "    ys = params_scaled + wg_width_in / 2\n",
    "    return ys\n",
    "\n",
    "def get_params(ys: np.ndarray) -> np.ndarray:\n",
    "    \"\"\"inverse of above, get parameters from ys\"\"\"\n",
    "    params_scaled = ys - wg_width_in / 2\n",
    "    params_between_0_1 = 2 * params_scaled / (wg_width_out - wg_width_in)\n",
    "    tanh_pi_params = 2 * params_between_0_1 - 1\n",
    "    params = np.arctanh(tanh_pi_params) / np.pi\n",
    "    return params\n",
    "\n",
    "# assert that the inverse function works properly\n",
    "params_test = 2 * (np.random.random((10,)) - 0.5)\n",
    "ys_test = get_ys(params_test)\n",
    "assert np.allclose(get_params(ys_test), params_test)\n",
    "                   \n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6fe8c364-eb73-402d-9c49-70d298a4dfbc",
   "metadata": {},
   "source": [
    "We then make a function that simply wraps our previously defined functions to generate a `JaxSimulation` given some parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "11f727a5-6c57-413c-ac36-35fb68b8db74",
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_sim_params(parameters: np.ndarray, include_field_mnt: bool=False) -> tda.JaxSimulation:\n",
    "    \"\"\"Make the simulation out of raw parameters.\"\"\"\n",
    "    ys = get_ys(parameters)\n",
    "    return make_sim(ys, include_field_mnt=include_field_mnt)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69d64efc-219f-48d5-8317-71cabd3c0686",
   "metadata": {},
   "source": [
    "### Smoothness Penalty\n",
    "\n",
    "It is important to ensure that the final device does not contain feature sizes below a minimum radius of curvature, otherwise there could be considerable difficulty in fabricating the device reliably.\n",
    "\n",
    "For this, we implement a penalty function that approximates the radius of curvature about each vertex and introduces a significant penalty to the objective function if that value is below a minimum radius of 150nm. \n",
    "\n",
    "We also include some tunable parameters to adjust the characteristics of this penalty.\n",
    "\n",
    "The radii are determined by fitting a quadratic Bezier curve to each set of 3 adjacent points in the taper and analytically computing the radius of curvature from that curve fit. The details of this calculation are described in the paper linked at the introduction of this notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "088a589b-29b8-4a31-93db-d5244fcb07af",
   "metadata": {},
   "outputs": [],
   "source": [
    "def smooth_penalty(parameters: np.ndarray, min_radius: float = .150, alpha: float = 1.0, kappa: float = 10.0) -> float:\n",
    "    \"\"\"Penalty between 0 and alpha based on radius of curvature.\"\"\"\n",
    "\n",
    "    def quad_fit(p0, pc, p2):\n",
    "        \"\"\"Quadratic bezier fit (and derivatives) for three points.\n",
    "         (x(t), y(t)) = P(t) = P0*t^2 + P1*2*t*(1-t) + P2*(1-t)^2\n",
    "          t in [0, 1]\n",
    "        \"\"\"\n",
    "\n",
    "        # ensure curve goes through (x1, y1) at t=0.5\n",
    "        p1 = 2 * pc - p0/2 - p2/2\n",
    "        \n",
    "        def p(t):\n",
    "            \"\"\"Bezier curve parameterization.\"\"\"\n",
    "            term0 = (1-t)**2 * (p0 - p1)\n",
    "            term1 = p1\n",
    "            term2 = t**2 * (p2 - p1)\n",
    "            return term0 + term1 + term2\n",
    "\n",
    "        def d_p(t):\n",
    "            \"\"\"First derivative function.\"\"\"\n",
    "            d_term0 = 2 * (1-t) * (p1 - p0)\n",
    "            d_term2 = 2 * t * (p2 - p1)\n",
    "            return d_term0 + d_term2\n",
    "\n",
    "        def d2_p(t):\n",
    "            \"\"\"Second derivative function.\"\"\"\n",
    "            d2_term0 = 2 * p0\n",
    "            d2_term1 = -4 * p1\n",
    "            d2_term2 = 2 * p2\n",
    "            return d2_term0 + d2_term1 +  d2_term2        \n",
    "        \n",
    "\n",
    "        return p, d_p, d2_p\n",
    "\n",
    "    def get_fit_vals(xs, ys):\n",
    "        \"\"\" Get the values of the bezier curve and its derivatives at t=0.5 along the taper.\"\"\"\n",
    "        \n",
    "        ps = jnp.stack((xs, ys), axis=1)\n",
    "        p0 = ps[:-2]\n",
    "        pc = ps[1:-1]\n",
    "        p2 = ps[2:]\n",
    "        \n",
    "        p, d_p, d_2p = quad_fit(p0, pc, p2)\n",
    "        \n",
    "        ps = p(0.5)\n",
    "        dps = d_p(0.5)\n",
    "        d2ps = d_2p(0.5)\n",
    "        return ps.T, dps.T, d2ps.T\n",
    "\n",
    "    def get_radii_curvature(xs, ys):\n",
    "        \"\"\"Get the radii of curvature at each (internal) point along the taper.\"\"\"\n",
    "        ps, dps, d2ps = get_fit_vals(xs, ys)\n",
    "        xp, yp = dps\n",
    "        xp2, yp2 = d2ps\n",
    "        num = (xp**2 + yp**2) ** (3.0/2.0)\n",
    "        den = abs(xp * yp2 - yp * xp2) + 1e-2\n",
    "        return num / den\n",
    "\n",
    "    def penalty_fn(radius):\n",
    "        \"\"\"Get the penalty for a given radius.\"\"\"\n",
    "        arg = -kappa * (min_radius - radius)\n",
    "        return alpha * ((1 + jnp.exp(arg)) ** (-1))\n",
    "\n",
    "    ys = get_ys(parameters)\n",
    "    rs = get_radii_curvature(xs, ys)\n",
    "\n",
    "    # return the average penalty over the points\n",
    "    return jnp.sum(penalty_fn(rs)) / len(rs)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b1ab924-4dec-466b-8145-4c6cbfccd478",
   "metadata": {},
   "source": [
    "### Using Tidy3d Convenience wrappers\n",
    "\n",
    "In Tidy3D 2.4.0, there are wrappers for the above operations which you may use instead for added convenience.\n",
    "\n",
    "We will implement the radius of curvature penalty using such a wrapper below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "07417057-555e-4f52-beef-f0f590f4aaa1",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tidy3d.plugins.adjoint.utils.penalty import RadiusPenalty\n",
    "\n",
    "penalty = RadiusPenalty(min_radius=.150, alpha=1.0, kappa=10.0)\n",
    "vertices0 = jnp.array(make_taper(ys0).vertices)\n",
    "penalty_value = penalty.evaluate(vertices0)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54f681ab-f956-40bc-a838-542ea9484ef0",
   "metadata": {},
   "source": [
    "### Initial Starting Design\n",
    "\n",
    "As our initial design, we take a linear taper between the two waveguides. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "2c9c15e4-ec99-4e87-8bf5-665fddad0859",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-17T23:36:28.366457Z",
     "iopub.status.busy": "2023-08-17T23:36:28.366314Z",
     "iopub.status.idle": "2023-08-17T23:36:29.061502Z",
     "shell.execute_reply": "2023-08-17T23:36:29.060892Z"
    }
   },
   "outputs": [
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# desired ys\n",
    "ys0 = np.linspace(wg_width_in/2 + 0.001, wg_width_out/2 - 0.001, num_points)\n",
    "\n",
    "# corresponding parameters\n",
    "params0 = get_params(ys0)\n",
    "\n",
    "# make the simulation corresponding to these parameters\n",
    "sim = make_sim_params(params0, include_field_mnt=True)\n",
    "ax = sim.plot(z=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b135ce1-1ed7-4131-b8ca-fd8a1e483c66",
   "metadata": {},
   "source": [
    "Lets get the penalty value corresponding to this design, it should be relatively low, but the random variations could introduce a bit of penalty."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "83cad184-38ce-4d1c-b4db-2d06e1a5526d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-17T23:36:29.063631Z",
     "iopub.status.busy": "2023-08-17T23:36:29.063403Z",
     "iopub.status.idle": "2023-08-17T23:36:29.087175Z",
     "shell.execute_reply": "2023-08-17T23:36:29.086649Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "starting penalty = 0.00e+00\n"
     ]
    }
   ],
   "source": [
    "penalty_value = penalty.evaluate(vertices0)\n",
    "print(f'starting penalty = {float(penalty_value):.2e}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afc2768c-345d-40de-8126-b7cedf4e4a71",
   "metadata": {},
   "source": [
    "Finally, let's run this simulation to get a feeling for the initial device performance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "b12af10e-0d9c-4001-a353-b0edc286e592",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-17T23:36:29.089198Z",
     "iopub.status.busy": "2023-08-17T23:36:29.089046Z",
     "iopub.status.idle": "2023-08-17T23:37:06.285542Z",
     "shell.execute_reply": "2023-08-17T23:37:06.284962Z"
    }
   },
   "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\">17:53:06 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'taper fields'</span> with task_id                           \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-cf6300e1-3e08-4a63-a999-528a07f533bb'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:53:06 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'taper fields'\u001b[0m with task_id                           \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-cf6300e1-3e08-4a63-a999-528a07f533bb'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e0</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">8-4a63-a999-528a07f533bb'</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=759204;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=911666;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=759204;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=92002;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=759204;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[32m-cf6300e1-3e0\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=759204;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[32m8-4a63-a999-528a07f533bb'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "Output()"
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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      "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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:53:09 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:53:09 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
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     "metadata": {},
     "output_type": "display_data"
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    {
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       "Output()"
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     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:53:18 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:53:18 -03\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"
      ],
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     "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\">17:53:26 -03 </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>the billed FlexCredit cost after a simulation run.                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:53:26 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. 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\n",
       "\u001b[2;36m             \u001b[0mthe billed FlexCredit 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\">             </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \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\">17:53:27 -03 </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:53:27 -03\u001b[0m\u001b[2;36m \u001b[0mrunning 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>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()"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:53:35 -03 </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">40</span>%, exiting.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:53:35 -03\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m40\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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-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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    {
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       "Output()"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:53:45 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:53:45 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\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>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e0</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">8-4a63-a999-528a07f533bb'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=370387;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=796552;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=370387;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=635224;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=370387;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[4;34m-cf6300e1-3e0\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=370387;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[4;34m8-4a63-a999-528a07f533bb'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
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       "Output()"
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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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\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\">17:53:51 -03 </span>loading simulation from simulation_data.hdf5                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:53:51 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data = web.run(sim.to_simulation()[0], task_name='taper fields')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b991b676-1a04-49d3-b109-09562e0371c0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-17T23:37:06.937506Z",
     "iopub.status.busy": "2023-08-17T23:37:06.937366Z",
     "iopub.status.idle": "2023-08-17T23:37:09.179997Z",
     "shell.execute_reply": "2023-08-17T23:37:09.179295Z"
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x300 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(10, 3))\n",
    "sim_data.plot_field(field_monitor_name='field', field_name='Ez', val='real', ax=ax1)\n",
    "sim_data.plot_field(field_monitor_name='field', field_name='E', val='abs', ax=ax2)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6171eaae-0a50-4106-acef-c6554c26db59",
   "metadata": {},
   "source": [
    "## Gradient-based Optimization\n",
    "\n",
    "Now that we have our design and post processing functions set up, we are finally ready to put everything together to start optimizing our device with inverse design.\n",
    "\n",
    "We first set up an objective function that takes the parameters, sets up and runs the simulation, and returns the transmission minus the penalty of the parameters.\n",
    "\n",
    "### <font color='red'> IMPORTANT NOTE FOR <= 2.6 USERS </font>\n",
    "> In Tidy3D 2.7, the `adjoint` plugin internals were refactored for better performance and reliability. Several geometry and medium fields, such as `JaxPolySlab.vertices` no longer directly store the `jax-traced` values. Instead, they store regular `float` or `np.ndarray` values. As such, these fields should not be used in the objective function directly, or else they will give a gradient contribution of 0. The `jax`-traced fields are stored in a field with the same name but with `_jax` suffix, eg. `JaxPolySlab.vertices_jax`. You may use this in the objective function contributions, eg. `RadiusPenalty.evaluate()` as before.\n",
    "\n",
    "> If your previous scripts used `geometry.vertices` in the penalty function, please change it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c693a704-702b-4385-8eab-cd32dc4453a5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-17T23:37:09.182707Z",
     "iopub.status.busy": "2023-08-17T23:37:09.182523Z",
     "iopub.status.idle": "2023-08-17T23:37:09.202919Z",
     "shell.execute_reply": "2023-08-17T23:37:09.202432Z"
    }
   },
   "outputs": [],
   "source": [
    "def objective(parameters: np.ndarray, verbose: bool = False) -> float:\n",
    "    \"\"\"Construct simulation, run, and measure transmission.\"\"\"\n",
    "    sim = make_sim_params(parameters, include_field_mnt=False)\n",
    "    sim_data = run(sim, task_name='adjoint_taper', path='data/simulation.hdf5', verbose=verbose)\n",
    "    return measure_transmission(sim_data) - penalty.evaluate(sim.input_structures[0].geometry.vertices_jax)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1b5e21d-679d-403f-a498-2b0041eaf7d7",
   "metadata": {},
   "source": [
    "To test our our objective, we will use jax to make and run a function that returns the objective value and its gradient."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "2674e8d2-c0af-407a-8b82-fb9c49c24cd6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-17T23:37:09.205400Z",
     "iopub.status.busy": "2023-08-17T23:37:09.205216Z",
     "iopub.status.idle": "2023-08-17T23:37:09.224363Z",
     "shell.execute_reply": "2023-08-17T23:37:09.223813Z"
    }
   },
   "outputs": [],
   "source": [
    "grad_fn = jax.value_and_grad(objective)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d8936843-692f-4e3b-a4be-b900bf82396f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-17T23:37:09.226666Z",
     "iopub.status.busy": "2023-08-17T23:37:09.226496Z",
     "iopub.status.idle": "2023-08-17T23:38:51.941589Z",
     "shell.execute_reply": "2023-08-17T23:38:51.941048Z"
    }
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   "outputs": [
    {
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       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'JaxSimulation.structures[0]'</span><span style=\"color: #800000; text-decoration-color: #800000\">. Note that in this version of the    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">adjoint plugin, there may be errors in the gradient when           </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'JaxPolySlab'</span><span style=\"color: #800000; text-decoration-color: #800000\"> intersects with background structures.               </span>\n",
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       "\u001b[2;36m17:54:39 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m-containing                                  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.input_structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m intersects with                \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m. Note that in this version of the    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31madjoint plugin, there may be errors in the gradient when           \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m intersects with background structures.               \u001b[0m\n"
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       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'JaxSimulation.input_structures[0]'</span><span style=\"color: #800000; text-decoration-color: #800000\"> intersects with                </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'JaxSimulation.structures[0]'</span><span style=\"color: #800000; text-decoration-color: #800000\">. Note that in this version of the    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">adjoint plugin, there may be errors in the gradient when           </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'JaxPolySlab'</span><span style=\"color: #800000; text-decoration-color: #800000\"> intersects with background structures.               </span>\n",
       "</pre>\n"
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       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m-containing                                  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.input_structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m intersects with                \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m. Note that in this version of the    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31madjoint plugin, there may be errors in the gradient when           \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m intersects with background structures.               \u001b[0m\n"
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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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Suppressed </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000\"> WARNING message.                             </span>\n",
       "</pre>\n"
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       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m1\u001b[0m\u001b[31m WARNING message.                             \u001b[0m\n"
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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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:54:40 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'adjoint_taper'</span> with task_id                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:54:40 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'adjoint_taper'\u001b[0m with task_id                          \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
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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\"><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-bb88979f-f394-4f6d-9b99-4e73b6d15623\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f39</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">4-4f6d-9b99-4e73b6d15623'</span></a>.                                         \n",
       "</pre>\n"
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      "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=314117;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=192523;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=314117;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=109192;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=314117;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[32m-bb88979f-f39\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=314117;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[32m4-4f6d-9b99-4e73b6d15623'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
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       "Output()"
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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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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
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       "\n"
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       "Output()"
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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     "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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
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     "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\">17:54:44 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:54:44 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
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       "Output()"
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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\">17:54:54 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:54:54 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
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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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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:55:00 -03 </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>the billed FlexCredit cost after a simulation run.                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:55:00 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. 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\n",
       "\u001b[2;36m             \u001b[0mthe billed FlexCredit 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\">             </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
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     "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>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"
      ]
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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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:55:08 -03 </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">40</span>%, exiting.                            \n",
       "</pre>\n"
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       "\u001b[2;36m17:55:08 -03\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m40\u001b[0m%, exiting.                            \n"
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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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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
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       "\n"
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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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:55:09 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
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      "text/plain": [
       "\u001b[2;36m17:55:09 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
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       "Output()"
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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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:55:17 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:55:17 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f39</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">4-4f6d-9b99-4e73b6d15623'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
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       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=891948;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=472716;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=891948;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=360361;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=891948;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[4;34m-bb88979f-f39\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=891948;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[4;34m4-4f6d-9b99-4e73b6d15623'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
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       "Output()"
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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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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
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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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:55:19 -03 </span>loading simulation from simulation_data.hdf5                       \n",
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       "\u001b[2;36m17:55:19 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
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       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'JaxSimulation.input_structures[0]'</span><span style=\"color: #800000; text-decoration-color: #800000\"> intersects with                </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'JaxSimulation.structures[0]'</span><span style=\"color: #800000; text-decoration-color: #800000\">. Note that in this version of the    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">adjoint plugin, there may be errors in the gradient when           </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'JaxPolySlab'</span><span style=\"color: #800000; text-decoration-color: #800000\"> intersects with background structures.               </span>\n",
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       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m-containing                                  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.input_structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m intersects with                \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m. Note that in this version of the    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31madjoint plugin, there may be errors in the gradient when           \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m intersects with background structures.               \u001b[0m\n"
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       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">adjoint plugin, there may be errors in the gradient when           </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'JaxPolySlab'</span><span style=\"color: #800000; text-decoration-color: #800000\"> intersects with background structures.               </span>\n",
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       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m. Note that in this version of the    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31madjoint plugin, there may be errors in the gradient when           \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m intersects with background structures.               \u001b[0m\n"
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       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">adjoint plugin, there may be errors in the gradient when           </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'JaxPolySlab'</span><span style=\"color: #800000; text-decoration-color: #800000\"> intersects with background structures.               </span>\n",
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       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.input_structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m intersects with                \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m. Note that in this version of the    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31madjoint plugin, there may be errors in the gradient when           \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m intersects with background structures.               \u001b[0m\n"
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       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'JaxSimulation.structures[0]'</span><span style=\"color: #800000; text-decoration-color: #800000\">. Note that in this version of the    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">adjoint plugin, there may be errors in the gradient when           </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'JaxPolySlab'</span><span style=\"color: #800000; text-decoration-color: #800000\"> intersects with background structures.               </span>\n",
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       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m-containing                                  \u001b[0m\n",
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       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m. Note that in this version of the    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31madjoint plugin, there may be errors in the gradient when           \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m intersects with background structures.               \u001b[0m\n"
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      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m1\u001b[0m\u001b[31m WARNING message.                             \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>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'adjoint_taper_adj'</span> with task_id                      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-829c708b-56bb-44a9-85eb-d12ead875af4'</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'adjoint_taper_adj'\u001b[0m with task_id                      \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-829c708b-56bb-44a9-85eb-d12ead875af4'\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-829c708b-56bb-44a9-85eb-d12ead875af4\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56b</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">b-44a9-85eb-d12ead875af4'</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=323271;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=479289;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=323271;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=908604;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=323271;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[32m-829c708b-56b\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=323271;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[32mb-44a9-85eb-d12ead875af4'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "65bf916a17424ede80764d83cb9f883c",
       "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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bcb4f6eb484f46b395b2d89b2ed84b44",
       "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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:55:25 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:55:25 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "51e2fd01ac174209988cacd22d746846",
       "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\">17:55:34 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:55:34 -03\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\">17:55:37 -03 </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>the billed FlexCredit cost after a simulation run.                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:55:37 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. 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\n",
       "\u001b[2;36m             \u001b[0mthe billed FlexCredit 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\">             </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \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\">17:55:38 -03 </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:55:38 -03\u001b[0m\u001b[2;36m \u001b[0mrunning 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>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": "b592644e9e3147758f76dfff890f7e91",
       "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\">17:55:46 -03 </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">8</span>%, exiting.                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:55:46 -03\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m8\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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-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": "a21defa14fa84af486e5cfc7f62230eb",
       "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\">17:55:53 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:55:53 -03\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\">             </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56b</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">b-44a9-85eb-d12ead875af4'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=679975;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=249525;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=679975;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=963902;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=679975;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[4;34m-829c708b-56b\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=679975;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[4;34mb-44a9-85eb-d12ead875af4'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "model_id": "5467f5cd10fc43899627539b381725ab",
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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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "val, grad = grad_fn(params0, verbose=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d9612664-1030-4914-bb2a-03b4ffcefdaa",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-17T23:38:53.843364Z",
     "iopub.status.busy": "2023-08-17T23:38:53.843115Z",
     "iopub.status.idle": "2023-08-17T23:38:53.863543Z",
     "shell.execute_reply": "2023-08-17T23:38:53.863099Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "objective = 7.19e-01\n",
      "gradient = [ 2.71207769e-03  1.06148072e-01  4.84825969e-02 -1.41210541e-01\n",
      " -2.67507136e-01 -3.53514314e-01 -4.04454678e-01 -3.16792846e-01\n",
      " -2.08037823e-01 -8.59880447e-02  1.24843515e-01  1.69099435e-01\n",
      "  4.28064093e-02  1.63800269e-02  9.93956625e-02  2.47591525e-01\n",
      "  3.55272055e-01  3.94703865e-01  4.48716551e-01  3.94270569e-01\n",
      "  2.96383291e-01  2.34637365e-01  1.15221784e-01  9.00208130e-02\n",
      "  1.12314552e-01  4.43161428e-02  6.85510552e-03 -2.83381902e-02\n",
      " -5.76341972e-02 -4.27867882e-02 -3.37758288e-02  9.33956075e-03\n",
      "  3.78074571e-02  3.67486328e-02  0.00000000e+00  0.00000000e+00\n",
      "  0.00000000e+00  0.00000000e+00  2.39209589e-02  8.26518703e-03\n",
      " -7.68248085e-03 -3.43262851e-02 -4.34620529e-02 -4.13822420e-02\n",
      " -4.34709378e-02 -4.43057232e-02 -4.08759601e-02 -3.75956520e-02\n",
      "  0.00000000e+00  0.00000000e+00  0.00000000e+00  0.00000000e+00\n",
      "  0.00000000e+00 -4.03490365e-02 -4.57080789e-02 -5.10892384e-02\n",
      " -4.67417762e-02 -5.29423878e-02 -4.61914130e-02 -4.05969881e-02\n",
      " -4.51477878e-02 -3.92075628e-02 -4.43347208e-02 -4.46286537e-02\n",
      " -4.21377458e-02 -4.75024618e-02 -4.13158908e-02 -4.13195603e-02\n",
      " -3.98531072e-02 -3.41202244e-02 -3.69236916e-02 -3.42656896e-02\n",
      " -3.31429392e-02 -3.23140435e-02 -2.90086549e-02 -2.82389168e-02\n",
      " -2.48387903e-02 -2.40148660e-02 -2.29546241e-02 -2.07484011e-02\n",
      " -1.96003020e-02 -1.69872716e-02 -1.56198898e-02 -1.38210198e-02\n",
      " -1.28083043e-02 -1.14396280e-02 -9.53127444e-03 -8.99357256e-03\n",
      " -6.99131191e-03 -6.39675511e-03 -5.54914912e-03 -4.02912172e-03\n",
      " -3.70020024e-03  0.00000000e+00  0.00000000e+00  0.00000000e+00\n",
      "  0.00000000e+00  0.00000000e+00 -1.74395434e-04 -7.77108871e-05\n",
      " -2.65569292e-06]\n"
     ]
    }
   ],
   "source": [
    "print(f'objective = {val:.2e}')\n",
    "print(f'gradient = {np.nan_to_num(grad)}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6613a956-3263-4904-b520-10722f12d83e",
   "metadata": {},
   "source": [
    "Now we can run `optax`'s Adam optimization loop with this `value_and_grad()` function. See tutorial 3 for more details on the implementation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "6d93407b-bb18-4b17-a073-c97b980c810b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-17T23:38:53.865446Z",
     "iopub.status.busy": "2023-08-17T23:38:53.865304Z",
     "iopub.status.idle": "2023-08-18T00:22:17.548799Z",
     "shell.execute_reply": "2023-08-18T00:22:17.548412Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 1\n",
      "\tJ = 7.1900e-01\n",
      "\tgrad_norm = 1.2431e+00\n",
      "step = 2\n",
      "\tJ = 7.4457e-01\n",
      "\tgrad_norm = 3.0956e+00\n",
      "step = 3\n",
      "\tJ = 7.8507e-01\n",
      "\tgrad_norm = 3.9803e+00\n",
      "step = 4\n",
      "\tJ = 8.2712e-01\n",
      "\tgrad_norm = 2.8943e+00\n",
      "step = 5\n",
      "\tJ = 8.5855e-01\n",
      "\tgrad_norm = 3.0015e+00\n",
      "step = 6\n",
      "\tJ = 8.8245e-01\n",
      "\tgrad_norm = 3.9600e+00\n",
      "step = 7\n",
      "\tJ = 8.7541e-01\n",
      "\tgrad_norm = 5.5646e+00\n",
      "step = 8\n",
      "\tJ = 8.9146e-01\n",
      "\tgrad_norm = 5.3756e+00\n",
      "step = 9\n",
      "\tJ = 8.9377e-01\n",
      "\tgrad_norm = 6.2556e+00\n",
      "step = 10\n",
      "\tJ = 9.1782e-01\n",
      "\tgrad_norm = 4.8957e+00\n",
      "step = 11\n",
      "\tJ = 9.2116e-01\n",
      "\tgrad_norm = 4.9372e+00\n",
      "step = 12\n",
      "\tJ = 9.2062e-01\n",
      "\tgrad_norm = 6.2027e+00\n",
      "step = 13\n",
      "\tJ = 9.4761e-01\n",
      "\tgrad_norm = 4.1500e+00\n",
      "step = 14\n",
      "\tJ = 9.4234e-01\n",
      "\tgrad_norm = 4.1013e+00\n",
      "step = 15\n",
      "\tJ = 9.3209e-01\n",
      "\tgrad_norm = 4.6997e+00\n",
      "step = 16\n",
      "\tJ = 9.3425e-01\n",
      "\tgrad_norm = 4.5537e+00\n",
      "step = 17\n",
      "\tJ = 9.4294e-01\n",
      "\tgrad_norm = 4.1936e+00\n",
      "step = 18\n",
      "\tJ = 9.4867e-01\n",
      "\tgrad_norm = 4.1816e+00\n",
      "step = 19\n",
      "\tJ = 9.5344e-01\n",
      "\tgrad_norm = 4.0164e+00\n",
      "step = 20\n",
      "\tJ = 9.5720e-01\n",
      "\tgrad_norm = 3.5860e+00\n",
      "step = 21\n",
      "\tJ = 9.5600e-01\n",
      "\tgrad_norm = 3.8795e+00\n",
      "step = 22\n",
      "\tJ = 9.5947e-01\n",
      "\tgrad_norm = 3.7678e+00\n",
      "step = 23\n",
      "\tJ = 9.6865e-01\n",
      "\tgrad_norm = 3.2645e+00\n",
      "step = 24\n",
      "\tJ = 9.7231e-01\n",
      "\tgrad_norm = 3.0108e+00\n",
      "step = 25\n",
      "\tJ = 9.7019e-01\n",
      "\tgrad_norm = 3.5280e+00\n",
      "step = 26\n",
      "\tJ = 9.7600e-01\n",
      "\tgrad_norm = 2.7345e+00\n",
      "step = 27\n",
      "\tJ = 9.7893e-01\n",
      "\tgrad_norm = 2.8836e+00\n",
      "step = 28\n",
      "\tJ = 9.8154e-01\n",
      "\tgrad_norm = 2.0772e+00\n",
      "step = 29\n",
      "\tJ = 9.8094e-01\n",
      "\tgrad_norm = 2.2520e+00\n",
      "step = 30\n",
      "\tJ = 9.8241e-01\n",
      "\tgrad_norm = 2.3039e+00\n",
      "step = 31\n",
      "\tJ = 9.8696e-01\n",
      "\tgrad_norm = 1.2431e+00\n",
      "step = 32\n",
      "\tJ = 9.8657e-01\n",
      "\tgrad_norm = 1.8214e+00\n",
      "step = 33\n",
      "\tJ = 9.8649e-01\n",
      "\tgrad_norm = 1.7739e+00\n",
      "step = 34\n",
      "\tJ = 9.8759e-01\n",
      "\tgrad_norm = 1.7228e+00\n",
      "step = 35\n",
      "\tJ = 9.8928e-01\n",
      "\tgrad_norm = 1.1017e+00\n",
      "step = 36\n",
      "\tJ = 9.8976e-01\n",
      "\tgrad_norm = 1.0232e+00\n",
      "step = 37\n",
      "\tJ = 9.8942e-01\n",
      "\tgrad_norm = 1.5094e+00\n",
      "step = 38\n",
      "\tJ = 9.9082e-01\n",
      "\tgrad_norm = 8.2405e-01\n",
      "step = 39\n",
      "\tJ = 9.9057e-01\n",
      "\tgrad_norm = 1.2295e+00\n",
      "step = 40\n",
      "\tJ = 9.9132e-01\n",
      "\tgrad_norm = 8.7248e-01\n",
      "step = 41\n",
      "\tJ = 9.9202e-01\n",
      "\tgrad_norm = 7.9684e-01\n"
     ]
    }
   ],
   "source": [
    "import optax\n",
    "\n",
    "# turn off warnings to reduce verbosity\n",
    "td.config.logging_level='ERROR'\n",
    "\n",
    "# hyperparameters\n",
    "num_steps = 41\n",
    "learning_rate = 0.01\n",
    "\n",
    "# initialize adam optimizer with starting parameters\n",
    "params = np.array(params0).copy()\n",
    "optimizer = optax.adam(learning_rate=learning_rate)\n",
    "opt_state = optimizer.init(params)\n",
    "\n",
    "# store history\n",
    "objective_history = []\n",
    "param_history = [params]\n",
    "\n",
    "for i in range(num_steps):\n",
    "\n",
    "    # compute gradient and current objective funciton value\n",
    "    value, gradient = grad_fn(params, verbose=False)\n",
    "    \n",
    "    # convert nan to 0 (infinite radius of curvature) and multiply all by -1 to maximize obj_fn.\n",
    "    gradient = -1 * np.nan_to_num(np.array(gradient.copy()))\n",
    "\n",
    "    # outputs\n",
    "    print(f\"step = {i + 1}\")\n",
    "    print(f\"\\tJ = {value:.4e}\")\n",
    "    print(f\"\\tgrad_norm = {np.linalg.norm(gradient):.4e}\")    \n",
    "\n",
    "    # compute and apply updates to the optimizer based on gradient\n",
    "    updates, opt_state = optimizer.update(gradient, opt_state, params)\n",
    "    params = optax.apply_updates(params, updates)\n",
    "\n",
    "    # save history\n",
    "    objective_history.append(value)\n",
    "    param_history.append(params)    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "307fac85-849f-46e8-bff5-8eb326e51df5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T00:22:17.550748Z",
     "iopub.status.busy": "2023-08-18T00:22:17.550579Z",
     "iopub.status.idle": "2023-08-18T00:22:17.622120Z",
     "shell.execute_reply": "2023-08-18T00:22:17.621217Z"
    }
   },
   "outputs": [],
   "source": [
    "params_best = param_history[-1]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f69997e-65ea-417d-ab63-c0028e169734",
   "metadata": {},
   "source": [
    "We see that our objective has increased steadily from a transmission of 56% to about 95%!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "4dfdc602-8f1d-455d-9fd9-a3b09bca3554",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T00:22:17.625383Z",
     "iopub.status.busy": "2023-08-18T00:22:17.625140Z",
     "iopub.status.idle": "2023-08-18T00:22:17.744167Z",
     "shell.execute_reply": "2023-08-18T00:22:17.743617Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.plot(objective_history)\n",
    "plt.xlabel('iteration number')\n",
    "plt.ylabel('objective function')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b39dc94f-4695-4d1f-b0e3-afdacbd9ecc7",
   "metadata": {},
   "source": [
    "Our final device displays smooth features and no sharp corners. Without our penalty this would have not been the case!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "bdfc8ca2-95f5-430e-9ac4-6e029a953562",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T00:22:17.746313Z",
     "iopub.status.busy": "2023-08-18T00:22:17.746143Z",
     "iopub.status.idle": "2023-08-18T00:22:18.036595Z",
     "shell.execute_reply": "2023-08-18T00:22:18.036092Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_best = make_sim_params(param_history[-1], include_field_mnt=True)\n",
    "ax = sim_best.plot(z=0.01)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "841a07a1-0a3b-47ce-b08c-a82495c1f04d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T00:22:18.038440Z",
     "iopub.status.busy": "2023-08-18T00:22:18.038271Z",
     "iopub.status.idle": "2023-08-18T00:22:57.133784Z",
     "shell.execute_reply": "2023-08-18T00:22:57.133191Z"
    }
   },
   "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\">18:49:46 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'taper final'</span> with task_id                            \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-189329bc-803d-45a7-9385-fe224c400888'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:49:46 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'taper final'\u001b[0m with task_id                            \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-189329bc-803d-45a7-9385-fe224c400888'\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-189329bc-803d-45a7-9385-fe224c400888\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">d-45a7-9385-fe224c400888'</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=966487;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=109609;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=966487;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=340334;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=966487;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[32m-189329bc-803\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=966487;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[32md-45a7-9385-fe224c400888'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
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     },
     "metadata": {},
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       "Output()"
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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\"></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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">18:49:49 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:49:49 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \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\">18:50:02 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:50:02 -03\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\">18:50:06 -03 </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>the billed FlexCredit cost after a simulation run.                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:50:06 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. 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\n",
       "\u001b[2;36m             \u001b[0mthe billed FlexCredit 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\">             </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \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": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-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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    {
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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\">18:50:13 -03 </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;36m18:50:13 -03\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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-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": "ef8037fe952a4801af22c1f91a73e517",
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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\">18:50:23 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:50:23 -03\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\">             </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">d-45a7-9385-fe224c400888'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=695283;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=382776;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=695283;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=708613;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=695283;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[4;34m-189329bc-803\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=695283;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[4;34md-45a7-9385-fe224c400888'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
     "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": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">18:50:28 -03 </span>loading simulation from simulation_data.hdf5                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:50:28 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data_best = td.web.run(sim_best.to_simulation()[0], task_name='taper final')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85af7a2f-00a1-4d64-8cf3-7f34b56e5e4e",
   "metadata": {},
   "source": [
    "Comparing the field patterns, we see that the optimized device gives a much more uniform field profile at the output waveguide, as desired. One can further check that this device and field pattern matches the referenced paper quite nicely!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "969473fb-e7ef-457d-8d65-f55a35e1dfe4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T00:22:57.832369Z",
     "iopub.status.busy": "2023-08-18T00:22:57.832105Z",
     "iopub.status.idle": "2023-08-18T00:23:02.189965Z",
     "shell.execute_reply": "2023-08-18T00:23:02.189442Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x700 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, tight_layout=True, figsize=(11, 7))\n",
    "\n",
    "# plot original\n",
    "sim_data.plot_field(field_monitor_name='field', field_name='Ez', val='real', ax=ax1)\n",
    "sim_data.plot_field(field_monitor_name='field', field_name='E', val='abs', ax=ax2)\n",
    "\n",
    "# plot optimized\n",
    "sim_data_best.plot_field(field_monitor_name='field', field_name='Ez', val='real', ax=ax3)\n",
    "sim_data_best.plot_field(field_monitor_name='field', field_name='E', val='abs', ax=ax4)\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "f028eb77-cb49-4ca4-8659-e9cd157a8724",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T00:23:02.193508Z",
     "iopub.status.busy": "2023-08-18T00:23:02.193358Z",
     "iopub.status.idle": "2023-08-18T00:23:02.228195Z",
     "shell.execute_reply": "2023-08-18T00:23:02.227700Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Transmission improved from 71.90% to 99.48%\n"
     ]
    }
   ],
   "source": [
    "transmission_start = float(measure_transmission(sim_data))\n",
    "transmission_end = float(measure_transmission(sim_data_best))\n",
    "print(f'Transmission improved from {(transmission_start * 100):.2f}% to {(transmission_end * 100):.2f}%')"
   ]
  }
 ],
 "metadata": {
  "description": "This notebook demonstrates how to perform inverse design optimization of a waveguide taper using boundary gradients in Tidy3D FDTD using the adjoint plugin.",
  "feature_image": "./img/adjoint_5.png",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "keywords": "boundary gradients, adjoint optimization, inverse design, 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": "3.11.7"
  },
  "title": "Inverse Design of a Waveguide Taper in Tidy3D Using the Adjoint Plugin | Flexcompute",
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {
     "02166fa4990b4728b5bef9f75c9c33e3": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_ebeb2d08d21a43ceb8d0f4b4db614296",
       "msg_id": "",
       "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: #008000; text-decoration-color: #008000\">🚶 </span> <span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Finishing 'adjoint_taper_adj'...</span>\n</pre>\n",
          "text/plain": "\u001b[32m🚶 \u001b[0m \u001b[1;32mFinishing 'adjoint_taper_adj'...\u001b[0m\n"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "028c2e27bff24509ae42239106fcdece": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_89b318f0ee6f44ca97b74ea22e361a1f",
       "msg_id": "",
       "outputs": [
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