{ "cells": [ { "cell_type": "markdown", "metadata": { "tags": [] }, "source": [ "# Boundary conditions\n", "\n", "This notebook will give a tutorial on setting up boundary conditions in Tidy3d.\n", "\n", "NOTE: the default boundary conditions (currently `Periodic()`) will change to `PML()` in Tidy3D version 2.0." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "execution": { "iopub.execute_input": "2023-02-03T04:31:43.848100Z", "iopub.status.busy": "2023-02-03T04:31:43.847811Z", "iopub.status.idle": "2023-02-03T04:31:45.036427Z", "shell.execute_reply": "2023-02-03T04:31:45.036023Z" } }, "outputs": [ { "data": { "text/html": [ "
[22:31:44] WARNING  This version of Tidy3D was pip installed from the 'tidy3d-beta' repository on   __init__.py:103\n",
       "                    PyPI. Future releases will be uploaded to the 'tidy3d' repository. From now on,                \n",
       "                    please use 'pip install tidy3d' instead.                                                       \n",
       "
\n" ], "text/plain": [ "\u001b[2;36m[22:31:44]\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING \u001b[0m This version of Tidy3D was pip installed from the \u001b[32m'tidy3d-beta'\u001b[0m repository on \u001b]8;id=776805;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/__init__.py\u001b\\\u001b[2m__init__.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=515361;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/__init__.py#103\u001b\\\u001b[2m103\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[2;36m \u001b[0m PyPI. Future releases will be uploaded to the \u001b[32m'tidy3d'\u001b[0m repository. From now on, \u001b[2m \u001b[0m\n", "\u001b[2;36m \u001b[0m please use \u001b[32m'pip install tidy3d'\u001b[0m instead. \u001b[2m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
           INFO     Using client version: 1.9.0rc1                                                  __init__.py:121\n",
       "
\n" ], "text/plain": [ "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m Using client version: \u001b[1;36m1.9\u001b[0m.0rc1 \u001b]8;id=916957;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/__init__.py\u001b\\\u001b[2m__init__.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=136836;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/__init__.py#121\u001b\\\u001b[2m121\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# standard python imports\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "# tidy3d imports\n", "import tidy3d as td\n", "import tidy3d.web as web\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Define Simulation Parameters\n", "First, we'll define some basc simulation parameters, the size of the domain, and the discretization resolution." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "execution": { "iopub.execute_input": "2023-02-03T04:31:45.039020Z", "iopub.status.busy": "2023-02-03T04:31:45.038741Z", "iopub.status.idle": "2023-02-03T04:31:45.042278Z", "shell.execute_reply": "2023-02-03T04:31:45.041918Z" } }, "outputs": [], "source": [ "# Define material properties\n", "medium = td.Medium(permittivity=2)\n", "\n", "wavelength = 1\n", "f0 = td.C_0 / wavelength / np.sqrt(medium.permittivity)\n", "\n", "# Set the domain size in x, y, and z\n", "domain_size = 12 * wavelength\n", "\n", "# create the geometry\n", "geometry = []\n", "\n", "# construct simulation size array\n", "sim_size = (domain_size, domain_size, domain_size)\n", "\n", "# Bandwidth in Hz\n", "fwidth = f0 / 40.0\n", "\n", "# Gaussian source offset; the source peak is at time t = offset/fwidth\n", "offset = 4.0\n", "\n", "# time dependence of sources\n", "source_time = td.GaussianPulse(freq0=f0, fwidth=fwidth, offset=offset)\n", "\n", "# Simulation run time past the source decay (around t=2*offset/fwidth)\n", "run_time = 40 / fwidth\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Create sources and monitors\n", "To study the effect of the various boundary conditions, we'll define a point dipole source and a series of frequency- and time-domain monitors in the volume of the simulation domain and at its edges." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "execution": { "iopub.execute_input": "2023-02-03T04:31:45.044353Z", "iopub.status.busy": "2023-02-03T04:31:45.044208Z", "iopub.status.idle": "2023-02-03T04:31:45.048659Z", "shell.execute_reply": "2023-02-03T04:31:45.048282Z" } }, "outputs": [], "source": [ "# create a point dipole source\n", "dipole = td.PointDipole(\n", " center=(0, 0, 0),\n", " source_time=source_time,\n", " polarization=\"Ex\",\n", ")\n", "\n", "# these monitors will be used to plot fields on planes through the middle of the domain in the frequency domain\n", "monitor_xz_freq = td.FieldMonitor(\n", " center=(0, 0, 0), size=(domain_size, 0, domain_size), freqs=[f0], name=\"xz_freq\"\n", ")\n", "monitor_yz_freq = td.FieldMonitor(\n", " center=(0, 0, 0), size=(0, domain_size, domain_size), freqs=[f0], name=\"yz_freq\"\n", ")\n", "monitor_xy_freq = td.FieldMonitor(\n", " center=(0, 0, 0), size=(domain_size, domain_size, 0), freqs=[f0], name=\"xy_freq\"\n", ")\n", "\n", "# this monitor will be used to plot fields on a plane through the middle of the domain in the time domain\n", "monitor_xz_time = td.FieldTimeMonitor(\n", " center=(0, 0, 0), size=(domain_size, 0, domain_size), interval=50, name=\"xz_time\"\n", ")\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Boundary specifications\n", "A [`BoundarySpec`](https://docs.flexcompute.com/projects/tidy3d/en/v1.9.0rc2/_autosummary/tidy3d.BoundarySpec.html) object defines the boundary conditions applied on each of the 6 domain edges, and is provided as an input to the simulation. In the following sections, we'll explore several different features within [`BoundarySpec`](https://docs.flexcompute.com/projects/tidy3d/en/v1.9.0rc2/_autosummary/tidy3d.BoundarySpec.html) and different ways of defining it.\n", "\n", "A [`BoundarySpec`](https://docs.flexcompute.com/projects/tidy3d/en/v1.9.0rc2/_autosummary/tidy3d.BoundarySpec.html) consists of three [`Boundary`](https://docs.flexcompute.com/projects/tidy3d/en/v1.9.0rc2/_autosummary/tidy3d.Boundary.html) objects, each defining the boundaries on the plus and minus side of each dimension. A number of convenience functions are available to quickly define various types of boundaries, which will be demonstrated below." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Example 1: Default PML boundaries along some dimensions\n", "\n", "In most cases, one just wants to specify whether there are absorbing PML layers along any of the x, y, z dimensions. To do this, we can call the `BoundarySpec.pml(x=False, y=False, z=False)` method to construct boundary conditions, supplying `True` along a dimension where we want PML.\n", "\n", "NOTE: the default boundary conditions will change to PML() in Tidy3D version 2.0.\n", "\n", "Let's try putting pml on only the x edge." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "execution": { "iopub.execute_input": "2023-02-03T04:31:45.050778Z", "iopub.status.busy": "2023-02-03T04:31:45.050617Z", "iopub.status.idle": "2023-02-03T04:31:45.237988Z", "shell.execute_reply": "2023-02-03T04:31:45.237560Z" } }, "outputs": [ { "data": { "text/html": [ "
[22:31:45] WARNING  'BoundarySpec.y' uses default value, which is 'Periodic()' but will change to   boundary.py:607\n",
       "                    'PML()' in Tidy3D version 2.0. We recommend explicitly setting all boundary                    \n",
       "                    conditions ahead of this release to avoid unexpected results.                                  \n",
       "
\n" ], "text/plain": [ "\u001b[2;36m[22:31:45]\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING \u001b[0m \u001b[32m'BoundarySpec.y'\u001b[0m uses default value, which is \u001b[32m'Periodic\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m but will change to \u001b]8;id=811397;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/boundary.py\u001b\\\u001b[2mboundary.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=852290;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/boundary.py#607\u001b\\\u001b[2m607\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[2;36m \u001b[0m \u001b[32m'PML\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m in Tidy3D version \u001b[1;36m2.0\u001b[0m. We recommend explicitly setting all boundary \u001b[2m \u001b[0m\n", "\u001b[2;36m \u001b[0m conditions ahead of this release to avoid unexpected results. \u001b[2m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
           WARNING  'BoundarySpec.z' uses default value, which is 'Periodic()' but will change to   boundary.py:607\n",
       "                    'PML()' in Tidy3D version 2.0. We recommend explicitly setting all boundary                    \n",
       "                    conditions ahead of this release to avoid unexpected results.                                  \n",
       "
\n" ], "text/plain": [ "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING \u001b[0m \u001b[32m'BoundarySpec.z'\u001b[0m uses default value, which is \u001b[32m'Periodic\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m but will change to \u001b]8;id=509578;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/boundary.py\u001b\\\u001b[2mboundary.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=927036;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/boundary.py#607\u001b\\\u001b[2m607\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[2;36m \u001b[0m \u001b[32m'PML\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m in Tidy3D version \u001b[1;36m2.0\u001b[0m. We recommend explicitly setting all boundary \u001b[2m \u001b[0m\n", "\u001b[2;36m \u001b[0m conditions ahead of this release to avoid unexpected results. \u001b[2m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
           INFO     Auto meshing using wavelength 1.4142 defined from sources.                     grid_spec.py:510\n",
       "
\n" ], "text/plain": [ "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m Auto meshing using wavelength \u001b[1;36m1.4142\u001b[0m defined from sources. \u001b]8;id=905396;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=14170;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py#510\u001b\\\u001b[2m510\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# define a basic boundary spec setting PML in along x only\n", "bspec_pml = td.BoundarySpec.pml(x=True)\n", "\n", "sim = td.Simulation(\n", " size=sim_size,\n", " sources=[dipole],\n", " monitors=[monitor_xz_time],\n", " run_time=run_time,\n", " boundary_spec=bspec_pml,\n", ")\n", "\n", "ax = sim.plot(y=0)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, let's test by placing PMLs along all edges using the convenience method `all_sides()` and running the simulation." ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "execution": { "iopub.execute_input": "2023-02-03T04:31:45.240325Z", "iopub.status.busy": "2023-02-03T04:31:45.240150Z", "iopub.status.idle": "2023-02-03T04:31:45.362994Z", "shell.execute_reply": "2023-02-03T04:31:45.362562Z" } }, "outputs": [ { "data": { "text/html": [ "
           INFO     Auto meshing using wavelength 1.4142 defined from sources.                     grid_spec.py:510\n",
       "
\n" ], "text/plain": [ "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m Auto meshing using wavelength \u001b[1;36m1.4142\u001b[0m defined from sources. \u001b]8;id=438516;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=194751;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py#510\u001b\\\u001b[2m510\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# define a basic boundary spec setting PML in all directions\n", "bspec_pml = td.BoundarySpec.all_sides(boundary=td.PML())\n", "\n", "# initialize the simulation object with the above boundary spec and source\n", "sim = td.Simulation(\n", " size=sim_size,\n", " sources=[dipole],\n", " monitors=[monitor_xz_time],\n", " run_time=run_time,\n", " boundary_spec=bspec_pml,\n", ")\n", "\n", "# Visualize the geometry\n", "fig, ax1 = plt.subplots(figsize=(4, 4))\n", "sim.plot(y=0, ax=ax1)\n" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "execution": { "iopub.execute_input": "2023-02-03T04:31:45.365149Z", "iopub.status.busy": "2023-02-03T04:31:45.364980Z", "iopub.status.idle": "2023-02-03T04:32:14.400434Z", "shell.execute_reply": "2023-02-03T04:32:14.399842Z" } }, "outputs": [ { "data": { "text/html": [ "
[22:31:46] INFO     Created task 'bc_example1' with task_id '0275a535-92aa-4bae-ac62-d0390e5642a6'.   webapi.py:120\n",
       "
\n" ], "text/plain": [ "\u001b[2;36m[22:31:46]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m Created task \u001b[32m'bc_example1'\u001b[0m with task_id \u001b[32m'0275a535-92aa-4bae-ac62-d0390e5642a6'\u001b[0m. \u001b]8;id=218998;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=419648;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#120\u001b\\\u001b[2m120\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n"
      ],
      "text/plain": [
       "\u001b[?25l"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1d109de8024a4b84a76498968e749afe",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n",
       "\u001b[?25h"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:31:47] INFO     status = queued                                                                   webapi.py:262\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:31:47]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = queued                                                                   \u001b]8;id=599657;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=386568;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#262\u001b\\\u001b[2m262\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": [
       "\u001b[?25l"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c406743d77bb4fdeb1c7f235b95042b7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:31:55] INFO     Maximum FlexUnit cost: 0.025                                                      webapi.py:253\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:31:55]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Maximum FlexUnit cost: \u001b[1;36m0.025\u001b[0m                                                      \u001b]8;id=756452;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=525626;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#253\u001b\\\u001b[2m253\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:31:58] INFO     status = preprocess                                                               webapi.py:274\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:31:58]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = preprocess                                                               \u001b]8;id=795721;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=329965;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#274\u001b\\\u001b[2m274\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n",
       "\u001b[?25h\r",
       "\u001b[1A\u001b[2K"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:32:01] INFO     starting up solver                                                                webapi.py:278\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:32:01]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m starting up solver                                                                \u001b]8;id=585361;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=119825;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#278\u001b\\\u001b[2m278\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:32:06] INFO     running solver                                                                    webapi.py:284\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:32:06]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m running solver                                                                    \u001b]8;id=751438;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=86526;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#284\u001b\\\u001b[2m284\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": [
       "\u001b[?25l"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "441b8d5a81db4e169f2189f4a6f11bd2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:32:10] INFO     early shutoff detected, exiting.                                                  webapi.py:295\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:32:10]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m early shutoff detected, exiting.                                                  \u001b]8;id=834586;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=466238;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#295\u001b\\\u001b[2m295\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n",
       "\u001b[?25h"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
           INFO     status = postprocess                                                              webapi.py:301\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = postprocess                                                              \u001b]8;id=127955;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=97081;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#301\u001b\\\u001b[2m301\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": [
       "\u001b[?25l"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "58acc44508a14fad8113c0a52d9f919e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:32:11] INFO     status = success                                                                  webapi.py:307\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:32:11]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = success                                                                  \u001b]8;id=331984;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=929833;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#307\u001b\\\u001b[2m307\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n",
       "\u001b[?25h\r",
       "\u001b[1A\u001b[2K"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:32:12] INFO     Billed FlexUnit cost: 0.025                                                       webapi.py:311\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:32:12]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Billed FlexUnit cost: \u001b[1;36m0.025\u001b[0m                                                       \u001b]8;id=181533;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=34511;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#311\u001b\\\u001b[2m311\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
           INFO     downloading file \"output/monitor_data.hdf5\" to \"data/bc_example1.hdf5\"            webapi.py:593\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m downloading file \u001b[32m\"output/monitor_data.hdf5\"\u001b[0m to \u001b[32m\"data/bc_example1.hdf5\"\u001b[0m            \u001b]8;id=338562;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=73124;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#593\u001b\\\u001b[2m593\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": [
       "\u001b[?25l"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c84b5d1d06ef4923b525da5f5ff08843",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n",
       "\u001b[?25h"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:32:14] INFO     loading SimulationData from data/bc_example1.hdf5                                 webapi.py:415\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:32:14]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m loading SimulationData from data/bc_example1.hdf5                                 \u001b]8;id=620035;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=484041;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#415\u001b\\\u001b[2m415\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data = web.run(sim, task_name=\"bc_example1\", path=\"data/bc_example1.hdf5\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Visualize results\n",
    "We can observe the effect of the PML by looking at the fields in the time domain as they impinge on the boundaries. The figure shows that the fields are absorbed by the PML layers as expected, and no reflections are observed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-02-03T04:32:14.915256Z",
     "iopub.status.busy": "2023-02-03T04:32:14.915143Z",
     "iopub.status.idle": "2023-02-03T04:32:15.521356Z",
     "shell.execute_reply": "2023-02-03T04:32:15.520911Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "
[22:32:15] INFO     Auto meshing using wavelength 1.4142 defined from sources.                     grid_spec.py:510\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:32:15]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Auto meshing using wavelength \u001b[1;36m1.4142\u001b[0m defined from sources.                     \u001b]8;id=574602;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=787782;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py#510\u001b\\\u001b[2m510\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(tight_layout=True, figsize=(5, 4))\n",
    "sim_data.plot_field(\n",
    "    field_monitor_name=\"xz_time\", field_name=\"Ex\", y=0, val=\"abs\", t=2e-13, ax=ax\n",
    ")\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Example 2: different boundaries on different edges\n",
    "Here, we'll place a PML along the y and z directions. In the x direction, we'll place a PML on the left side (x-minus), and a PEC on the right (x-plus). To specify individual boundary conditions along different dimensions, instead of [`BoundarySpec`](https://docs.flexcompute.com/projects/tidy3d/en/v1.9.0rc2/_autosummary/tidy3d.BoundarySpec.html), the class [`Boundary`](https://docs.flexcompute.com/projects/tidy3d/en/v1.9.0rc2/_autosummary/tidy3d.Boundary.html) is used, which defines the plus and minus boundaries along a single dimension.\n",
    "\n",
    "We'll test this set of boundaries by placing an angled Gaussian beam near the lower edge of the domain and observing the field bounce off the PEC in x-plus."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-02-03T04:32:15.523776Z",
     "iopub.status.busy": "2023-02-03T04:32:15.523578Z",
     "iopub.status.idle": "2023-02-03T04:32:15.529110Z",
     "shell.execute_reply": "2023-02-03T04:32:15.528716Z"
    }
   },
   "outputs": [],
   "source": [
    "# this defines a 1D boundary with a PML on both the plus and minus sides, which can be reused for both y and z directions\n",
    "boundary_yz = td.Boundary.pml(num_layers=15)\n",
    "\n",
    "# this defines a 1D boundary with a PML on the minus side and a PEC on the plus side\n",
    "boundary_x = td.Boundary(minus=td.PML(), plus=td.PECBoundary())\n",
    "\n",
    "# now just set these in the boundary spec along the appropriate dimensions\n",
    "bspec_pml_pec = td.BoundarySpec(x=boundary_x, y=boundary_yz, z=boundary_yz)\n",
    "\n",
    "\n",
    "# create the Gaussian beam source\n",
    "buffer_source = (\n",
    "    domain_size / 10\n",
    ")  # distance between the source and the bottom of the domain\n",
    "gaussian_beam = td.GaussianBeam(\n",
    "    center=(0, 0, -domain_size / 2 + buffer_source),\n",
    "    size=(td.inf, td.inf, 0),\n",
    "    source_time=source_time,\n",
    "    direction=\"+\",\n",
    "    pol_angle=0,\n",
    "    angle_theta=np.pi / 4.0,\n",
    "    angle_phi=np.pi / 8.0,\n",
    "    waist_radius=wavelength * 2,\n",
    "    waist_distance=-wavelength * 4,\n",
    ")\n",
    "\n",
    "# initialize the simulation object with the above boundary spec and source\n",
    "sim = td.Simulation(\n",
    "    size=sim_size,\n",
    "    sources=[gaussian_beam],\n",
    "    monitors=[monitor_xz_time],\n",
    "    run_time=run_time,\n",
    "    boundary_spec=bspec_pml_pec,\n",
    ")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can verify that the PML is placed only on the left hand side and not on the right."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-02-03T04:32:15.531539Z",
     "iopub.status.busy": "2023-02-03T04:32:15.531328Z",
     "iopub.status.idle": "2023-02-03T04:32:15.673023Z",
     "shell.execute_reply": "2023-02-03T04:32:15.672599Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "
           INFO     Auto meshing using wavelength 1.4142 defined from sources.                     grid_spec.py:510\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Auto meshing using wavelength \u001b[1;36m1.4142\u001b[0m defined from sources.                     \u001b]8;id=863352;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=374253;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py#510\u001b\\\u001b[2m510\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       ""
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAGJCAYAAADc2Ws+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8o6BhiAAAACXBIWXMAAA9hAAAPYQGoP6dpAABRC0lEQVR4nO3deXwTdf4/8NdMkknSNOmRFlqgclS5EZBL8ECRn/gVVthVV3ddFHVZEVy8Fb66IrhaFURcVBRX0VU8Vr9fj694IuABqFy6gJwqUo5CkzZNmjaZZObz+6NO2rS5zyZ5Px+PPKDJzOTTfObz6mQ+n/kMxxhjIIQQEjU+3QUghJBMRQFKCCExogAlhJAYUYASQkiMKEAJISRGFKCEEBIjClBCCIkRBSghhMSIApQQQmJEAUqyxoYNG8BxHDZs2JDuopAcQQFKMs7TTz+NF198Md3FiMmrr76KZcuWpbsYfp5//nkMGDAAOp0Op512GpYvXx7xum63G3fffTe6desGvV6PMWPG4NNPPw247KZNm3D22WcjLy8PZWVlmDt3LhobGxP1a6QHIyTDDBo0iI0fP77D85IksebmZiZJUuoLFaHJkyeznj17prsYPs888wwDwC699FK2cuVKNn36dAaAPfzwwxGtf+WVVzK1Ws3uuOMO9uyzz7KxY8cytVrNvvzyS7/lduzYwXQ6HRs+fDhbsWIFu+eee5hWq2UXXXRRMn6tlKEAzVCNjY3pLkLaBAvQTNCZArSpqYmZzWY2efJkv+evuuoqZjAYWF1dXcj1v/nmGwaALV682Pdcc3Mzq6ysZGPHjvVb9r/+679YeXk5a2ho8D333HPPMQDs448/TsBvkx4UoJ3AkSNH2HXXXcfKy8uZIAisV69ebNasWcztdjPGGFu1ahUDwDZs2MBuvPFGVlpaygoLC33rP/XUU2zgwIFMEARWXl7OZs+ezerr6/3eY//+/ex3v/sd69q1K9Nqtax79+7siiuuYDabzbfMJ598ws466yxWUFDADAYD69u3L5s/f37Y8keynsvlYvfddx+rrKxkgiCwHj16sDvvvJO5XK4O23v55ZfZqFGjmF6vZ4WFheycc87xNbKePXsyAH4PJUzXr1/PALD169f7be/f//43O+OMM5hOp2Nms5ldddVV7MiRI37LXHPNNcxgMLAjR46wqVOnMoPBwEpKStjtt9/OvF5v2M/gnXfeYRdffLGvDvv06cMWLVrkt+748eM7lD1UmJ577rns9NNPD/ha37592YUXXhi2XKGsWbOGAWBr1qzxe37Tpk0MAHv55ZdDrn/nnXcylUrlF4qMMfbQQw8xAOzw4cOMMcYaGhqYWq1md955p99ybreb5efns+uvvz6u3yOd1Ck/Z0D8HDt2DKNHj4bNZsNf/vIX9O/fH0ePHsVbb72FpqYmCILgW3b27NkoLS3FfffdB6fTCQC4//77sXDhQkycOBE33ngj9u3bhxUrVmDLli3YuHEjNBoNRFHEpEmT4Ha78de//hVlZWU4evQo3n//fdhsNhQUFGD37t2YMmUKTj/9dCxatAharRYHDx7Exo0bQ5Y/kvVkWcYll1yCr776Cn/5y18wYMAA7Ny5E48//jj279+Pd955x7fswoULcf/992PcuHFYtGgRBEHAN998g3Xr1uHCCy/EsmXL8Ne//hX5+fm45557AABdu3YNWr4XX3wR1157LUaNGoWqqiqcOHECTzzxBDZu3IgdO3agsLDQt6wkSZg0aRLGjBmDJUuWYO3atXjsscdQWVmJG2+8MeTn8OKLLyI/Px+33XYb8vPzsW7dOtx3332w2+1YvHgxAOCee+5BQ0MDjhw5gscffxwAkJ+fH3Sb06dPx8yZM7Fr1y4MHjzY9/yWLVuwf/9+3Hvvvb7n6uvrIUlSyDICQF5eHvLy8gAAO3bsAACMHDnSb5kRI0aA53ns2LEDf/rTn4Jua8eOHejbty9MJpPf86NHjwYAfPfdd6ioqMDOnTvh9Xo7vI8gCBg2bJivHBkp3Qme666++mrG8zzbsmVLh9dkWWaMtR6Bnn322X5HNCdPnmSCILALL7zQ77zfk08+yQCwF154gTHWcv4JAHvzzTeDluPxxx9nAFhtbW1U5Y9kvZdffpnxPN/hvJhy/m3jxo2MMcYOHDjAeJ5nv/3tbzucx1Q+C8aCf4VvfwQqiiLr0qULGzx4MGtubvYt9/777zMA7L777vM9d8011zAAbNGiRX7bHD58OBsxYkToD4G1fB1u74YbbmB5eXl+R9nRfIW32WxMp9Oxu+++2+/5uXPnMoPB4HcaJ9CReaDHggULfOvMmTOHqVSqgO9dWlrKrrzyypDlGzRoEJswYUKH53fv3s0AsGeeeYYxxtibb77JALAvvviiw7KXX345KysrC/k+nRn1wqeRLMt455138Jvf/KbDX2cA4DjO7+eZM2dCpVL5fl67di1EUcQtt9wCnuf9ljOZTFizZg0AoKCgAADw8ccfo6mpKWBZlCOxd999F7IsR/w7RLLem2++iQEDBqB///6wWCy+x4QJEwAA69evBwC88847kGUZ9913n9/vA3T8LCKxdetWnDx5ErNnz4ZOp/M9P3nyZPTv39/3+bQ1a9Ysv5/POecc/PTTT2HfS6/X+/7vcDhgsVhwzjnnoKmpCXv37o267EBLvU2dOhWvvfYa2K/znkuShDfeeAPTpk2DwWDwLbt69Wp8+umnYR9XX321b53m5ma/bzht6XQ6NDc3hyxfc3MztFptwHWV19v+G2zZcO/TmdFX+DSqra2F3W73+3oWSu/evf1+/uWXXwAA/fr183teEAT06dPH93rv3r1x2223YenSpVi9ejXOOeccXHLJJfjTn/7kC9crrrgC//znP/HnP/8Z8+bNwwUXXIDf/e53uOyyyzqEWVuRrHfgwAHs2bMHpaWlAbdx8uRJAMCPP/4InucxcODAiD6PcIJ9PgDQv39/fPXVV37P6XS6DmUsKipCfX192PfavXs37r33Xqxbtw52u93vtYaGhmiL7nP11VfjjTfewJdffolzzz0Xa9euxYkTJzB9+nS/5c4666yot63X6yGKYsDXXC6X3x+FYOu73e6A6yqvt/032LLh3qczowDNIPHsaI899hhmzJiBd999F5988gnmzp2LqqoqfP311+jRowf0ej2++OILrF+/HmvWrMFHH32EN954AxMmTMAnn3zid+Tbvkzh1pNlGUOGDMHSpUsDbqOioiLm3yuRgv2O4dhsNowfPx4mkwmLFi1CZWUldDodtm/fjrvvvjuqI/r2Jk2ahK5du+KVV17Bueeei1deeQVlZWWYOHGi33K1tbURnQPNz8/3nXctLy+HJEk4efIkunTp4ltGFEVYrVZ069Yt5LbKy8tx9OjRDs8fP34cAHzrl5eX+z3fftlw79OppfscQi6TJImZTCY2derUkMsp50Dbnyd99dVXGQD2wQcf+D3vdrtZQUEBu/TSS4Nuc+PGjQwAu+eee4Iu8+CDDzIA7NNPPw3/y4RY7+KLL2bdu3f3O48ZyOLFixkAtmPHjpDLDR48OKJzoEpv8tNPP91h2QEDBvid21R64dtbsGABC9dM3n77bQaAff75537Pr1y5ssOogClTpkQ9jOnWW29lRUVFrK6ujuXn57Nbb721wzKxnANVzgW374VX9o1//etfIct1xx13BOyFV+pf6YW32Wwhe+Gvu+66aD6OToXOgaYRz/OYNm0a/u///g9bt27t8DoLc7+/iRMnQhAE/OMf//Bb9vnnn0dDQwMmT54MALDb7fB6vX7rDhkyBDzP+75W1dXVddj+sGHDAAT+6qWIZL3f//73OHr0KJ577rkOyzY3N/tGFEybNg08z2PRokUdjtra/n4GgwE2my1omRQjR45Ely5d8Mwzz/j9Dh9++CH27Nnj+3zipRy5ti2jKIp4+umnOyxrMBii/ko/ffp01NfX44YbbkBjY2PAnvFYzoFOmDABxcXFWLFihd+2VqxYgby8PL/Px2KxYO/evX7n0C+77DJIkoSVK1f6nnO73Vi1ahXGjBnj+2ZRUFCAiRMn4pVXXoHD4fAt+/LLL6OxsRGXX355VJ9Hp5Le/CZHjhxhZWVlLC8vj91yyy3s2WefZffffz8bNGiQbyxnsCNQxlqPkC688EL25JNPsr/+9a9MpVKxUaNGMVEUGWMtR0jdu3dnt9xyC3v66afZP/7xDzZq1Cim0WjY5s2bGWOM3XzzzWz48OHs3nvvZc899xx78MEHWffu3VmPHj38xoq2F8l6kiSxiy++mHEcx6688kq2fPlytmzZMjZr1ixWXFzs93v97W9/YwDYuHHj2JIlS9jy5cvZ1VdfzebNm+dbZvbs2YzjOPbAAw+w1157jX322WeMscDjQJXPbsyYMWzZsmVs/vz5LC8vj/Xq1ctvrGw8R6AWi4UVFRWxnj17sscee4wtXbqUDR8+nA0dOrRDeR599FEGgN16663s1VdfZe+9917IbSsGDx7MALABAwZEtHyknnrqKQaAXXbZZey5555jV199NQPAHnzwQb/llM+h/Rjbyy+/3Hd0+eyzz7Jx48YxtVrd4Wh827ZtTKvV+l2JpNPp4h7Lmm4UoJ3AL7/8wq6++mpWWlrKtFot69OnD5szZ06HgfSBApSxlmFL/fv3ZxqNhnXt2pXdeOONfuHw008/seuuu45VVlYynU7HiouL2fnnn8/Wrl3rW+azzz5jU6dOZd26dWOCILBu3bqxP/zhD2z//v0hyx7peqIoskceeYQNGjSIabVaVlRUxEaMGMEWLlzY4SvgCy+8wIYPH+5bbvz48X6nEWpqatjkyZOZ0WiMaCD9G2+84dtecXFxyIH07UUSoIy1fO0988wzmV6vZ926dWN33XUX+/jjjzuUp7Gxkf3xj39khYWFYQfSt6UE70MPPRTR8tFYuXIl69evHxMEgVVWVrLHH3+8w+mWYAHa3NzM7rjjDlZWVsa0Wi0bNWoU++ijjwK+z5dffsnGjRvHdDodKy0tZXPmzGF2uz3hv08qcYzRfeEJ6eyeeOIJ3HrrrTh06BBOOeWUdBeH/IoClJBOjjGGoUOHwmw2+8bMks6BhjER0kk5nU689957WL9+PXbu3Il333033UUi7dARKCGd1KFDh9C7d28UFhZi9uzZePDBB9NdJNIOBSghhMSIxoESQkiMMiZAJUnC3/72N/Tu3Rt6vR6VlZV44IEHwg42J4SQZMmYTqRHHnkEK1aswEsvvYRBgwZh69atuPbaa1FQUIC5c+dGtA1ZlnHs2DEYjcaYZvchhOQGxhgcDge6desWcjKdjDkHOmXKFHTt2hXPP/+877lLL70Uer0er7zySkTbOHLkSKeZuIIQkn48D4Sa66W6uho9evQI+nrGHIGOGzcOK1euxP79+9G3b198//33+Oqrr4LO8AO0XJfb9hpo5W/FXXfd5TezkSiKvtcEQUja0anyHiUlJdBoNH6viaLou767sLAw6DyNycQYQ21tLYCWuRuVqe5SraGhwVdvpaWlafm2QPXRKlvr4+eff8ajjz6KVx4FBvTxf23PT8Cf7gKMRmPIbWRMgM6bNw92ux39+/eHSqWCJEl48MEHcdVVVwVdp6qqCgsXLuzwvF6v903p5Xa7wXEceJ4HYwwcx0Gr1YY8bI+VLMuQZRkmk8lvBxBFEU6n09dAPB4PCgoKUtpoZVmG1WqFwWCAVquFy+UCz/Nhd6BEczgcUKlUKC4uhtvthsfjgdlsTkp9BEP10Sqb60O5tcmAPsAZgwIvE+6PRcZ0Iv373//G6tWr8eqrr2L79u146aWXsGTJErz00ktB15k/fz4aGhp8j+rqar/X3W43vF4v1Go19Ho9BEEAYwxutzuuORyjIYoiLBYLNBoNSkpKfEenFosl6GS3iaY0Vo/Hg5KSEpjNZphMJtjtdr/Zc5LN4XDAbrfDZDLBbDajpKQEHo8HVquV6oPqI231EUrGBOidd96JefPm4corr8SQIUMwffp03Hrrraiqqgq6jlarhclk8nso2oancqsBtVqd0hBtu3Mof9V5nofZbE7ZTtK+sSp/1Y1GY0obbdvGqhxlCYKQ0kZL9dGK6iMyGROgTU1NHb42KLOdR8vj8XQIT0WqQjTQzqFI1U4SrLEqUtVoAzVWRaoaLdVHK6qPyGVMgP7mN7/Bgw8+iDVr1uDQoUN4++23sXTpUvz2t7+NeluyLAcMT0WyQ9Tj8QTdORTJ3knCNVZFshttqMaqSHajDdVYFVQfrXKhPiKVMQG6fPlyXHbZZZg9ezYGDBiAO+64AzfccAMeeOCBqLfF83zQ8FQkK0RlWUZ9fX3InaNtOZOxk0TaWBXJarSRNFZFshptJI1VQfXRKpvrIxoZE6BGoxHLli3DL7/8gubmZvz444/4+9//HlNPXPshRMEkOkQlSfKdOoi0JzPRO0m0jVWR6EYbTWNVJLrRRtNYFVQfrbKxPqKVMQGaLokKUa/XC1EUwXEcCgsLoxoGkqidJNbGqkhUo42lsSoS1WhjaawKqo9W2VQfsaAAjUC8Ido2PFUqVUxj6OLdSeJtrIp4G208jVURb6ONp7EqqD5aZUN9xIoCNEKxhmjb8Ix3gH6sO0miGqsi1kabiMaqiLXRJqKxKqg+WmVyfcSDAjQK0YZo+/BMxCVw0e4kiW6simgbbSIbqyLaRpvIxqqg+miVifUR9/sldetZKNIQTeSRZ3uR7iTJaqyKSBttMhqrItJGm4zGqqD6aJVJ9ZGIeZQoQGMQLkSTGZ6KcDtJshurIlyjTWZjVYRrtMlsrAqqj1aZUh+JGL1AARqjYCGaivBUBNtJUtVYFcEabSoaqyJYo01FY1VQfbTKhPrwer3xv0fcW8hh7UM0leGpaL+TuN3ulDZWRftGm8rGqmjfaN1ud8oaq4Lqo1Vnr4+2c2PEvP0ElDGnKSEqy7JvzsRUhadC2UnUarXvL20qG6uibaNNdWNVKI1WOdKJ5qKFRKH6aNWZ60Otjn82TwpQQgiJEQVonJSv7W2vr0/lfKKA/zkd5UgnHZe1tf2amI75K4HWc2zKkY/X603p/JUA1Udbnbk+6BxomrU/55nq+USBjh0UWq02LVdktD/Hlur5K4GOHRRarTblkwBTfbTq7PVht9vj3j4FaIyCdRilMkSD9e6mejBxsA6KVDbaYL27qZwEmOqjVSbUB50DTZNwve2pCNFwQ2NS1WjD9e6motGGGxqTikZL9dEqU+ojER1qFKBRinSoUjJDNNJxhclutJEOjUlmo410XGEyGy3VR6tMqo+EXFod9xZySLTjPNuHaCIuHYt2UHayGm204wqT0WijHZSdjEZL9dEqE+sjXhSgEYp1kHwij0Rj3TkS3WhjHZSdyEYb6xUtiWy0VB+tMrk+4kEBGoF4rzBqG6KSJMW0k8S7cySq0cZ7RUsiGm28lwMmotFSfbTKhvqIFQVoGIm6PLNtiNpstqh2kkTtHPE22kRdDhhPo03UtdTxNFqqj1bZVB+xyMkA9Xg8ES2X6GvbVSoV1Gp1VIOJE71zxNpoE30tdSyNNtETUcTSaKk+WmVjfUQrJwO07XXrwSRrYhCe51FUVBTRTpKsnSPaRpusiSiiabTJmsUnmkZL9dEqm+sjGjkZoDzPw+v1Bg3RZM+qpNFowu4kyd45Im20yZ7FJ5JGm+wp0CJptFQfrXKhPiKVkwGq0Wh8X6Xbh2iqpqQLtZOkaucI12hTNQVaqEabqvkjqT5aUX1ELicDFIDv2vW2IZrq+TwD7SQpH8cWpNGmev7IQI02lZPvAlQfbVF9RCb+i0EzmDJ7ktfrhSzLYIyldDJkoHUnsVgssFgsvvKkdCjGr43WarXCYrFAq9XC5XKlfP5I5b3sdjtEUYTb7U7p5LsA1UdbVB/h5ewRqEIJSyVAUz0ZMtCyk5jNZng8Hng8HpjN5tT3Jv7aaBljcLlc0Ol0KZ98F2hptDqdDi6XC4yxlE++C1B9tEX1EVrOB6jX6/W7xDLSIU6JJMuy39Radrs9pfMlKpxOp+//brc75fNXAvAd6QQqU6pQfbSi+ggtowL06NGj+NOf/gSz2Qy9Xo8hQ4Zg69atMW+v7TlPvV4ftGMpmdqe0yktLUVpaWlK50tUtD3HVl5envL5KwH/c2zl5eVpmQSY6qMV1Ud4GXMOtL6+HmeddRbOP/98fPjhhygtLcWBAwdQVFQU0/YCdRi1PScKtJ4jTQzW8mAMYDLAWi7ptNbVt5wQNxdD0KgAACXmIlisdbBaLTAXFyX9K5PD0Qi7wwGT0Qhjfh4ABnNxIax19bBYalvKluSvTKIowmKtaznHVlwInmMtZWEy7PYGgMkwGvOTWgaqj1Y5UR8JmNwnYwL0kUceQUVFBVatWuV7rnfv3jFtS5bloL3tyQlRBkguQGYtOeqqgewBrHYJHomhxKiC4D0J/HqHAQFASZ4Mi6MZ1hMOmE0q8AmYeisQR5MEe7MMk56HUWUDmmwAWr6amPUMVo8Ey8mjLWXUJCc4RI8Mi0OCRsXBrPeAdzX7XjOqAAgS7LZawG2FMU+VlDLIjFF9/Cpn6kO0xF3OjAnQ9957D5MmTcLll1+Ozz//HN27d8fs2bMxc+bMoOu43W6/r+PKeRSPxwO1Wg2NRgMAHb4KaDQaMMZ850fj/2vPAJlBZgyMAW6PjDqHDK/EUGRQARwH0dvuryHHoUDPo94p4aSNoShflZD5C9tyNktodMnI1/HQCnzHMgAw5fGob5RwssGLIoMKmgQ3Wo9HRr1TglrFwZTHwysBLX9lWmkFHnkSg80pwSsxGPSJbbSMMdQ3SlQfyK368Eo5dAT6008/YcWKFbjtttvw3//939iyZQvmzp0LQRBwzTXXBFynqqoKCxcu7PA8x3FBw1OhTPevHK3GNf0/Y0qGQpZkNDU1gwdDvppB8jBIIfqt8tUcRImD3QEIKhmJarNeiYdH5mBQM6iYDFdT8GX1PCAyHs4mQFAx8Hz8Ox4AyHLL76blAYGX4W4OvqwKgEHNQxQ5MC+DWpWY81+MAaLEg2eg+six+pA9IT7kCHEsEbP8poAgCBg5ciQ2bdrke27u3LnYsmULNm/eHHCdQEegFRUVeOKJJ1BQUBDR+zqdTjQ2NiI/Px8GgyG2wjMZcNVA9MhodDZh2qCTKNDHf0dAQkjsvj9gxYTZ/4dtbwFnDPJ/bftuYMRlQENDA0wmU9BtZMwRaHl5OQYOHOj33IABA/A///M/QdfRarUBz2EKghDx13JBEKBWq2G326FWq2Mbi8ckyB6gziGD54ACvRfFPYYCvCb6bRFC4iN7gLqtKNDFfxCTMQF61llnYd++fX7P7d+/Hz179kz6e7e9IqPtz5GSZRlWe8s5nXz1rwf8vIYClJAMlzEBeuutt2LcuHF46KGH8Pvf/x7ffvstVq5ciZUrV6bk/WMNUd9QjF9PiEuejDhjQgiJQMYMpB81ahTefvttvPbaaxg8eDAeeOABLFu2DFdddVXKyhDtpLN+Ex8YE99jSghJr4w5AgWAKVOmYMqUKWktQ6RHon7haS6G4D0ZcFgKISRzZVSAdhbhQrTDlFsalW8QMCEke1CAxihYiAacr5BJaSsnISR5KEDj0D5EDQZDp5rslRCSXBSgcWobona7HRzHUXgSkiOoWzgB2l6hpNVqKTwJyREUoHFSznlyHOebuTuV8yUSQtKHvsLHIVCHkTIRLhD9FUuEkMxCARqjYHcHjPeyT0JI5qAAjUG4W6t2CNH8vJSXkRCSfBSgUYr0vtR+Icrklpm8CSFZhQI0CpGGp6I1RBsAQYJWoD47QrIJBWiEog1PhdFobLkRl60WeRIDHYgSkj3okCgCsYanwmjMh0nPo9ElwyvRR05ItqAj0DDiDU+FMU8Fr8Qgism5myMhJPVyMkA9nhB3qWojUeGpMOhVYDSlHSFZIye/T9psNoiiGHKZRIenIlF3LySEpF9OBqharYbFYgkaoskKT0JIdsnJAC0sLIRGowkYohSehJBI5WSAchwHs9ncIUQpPAkh0cjJAAUAnuf9QtTtdlN4EkKikrMBCrSGaNtzohSehJBI5XSAEkJIPHI6QJVznl6v13fkGap3nhBC2srZAG3fYaTVagN2LBFCSDA5GaCMsYAdRu07lihECSGh5GSA2my2oL3tFKKEkEjlZIC2PecZCIUoISQSGRugDz/8MDiOwy233BL1uoWFhWGHKiUrRGk6O0KyR0a25i1btuDZZ5/F6aefHtP6Go0mouUSHaLOZgkemaazIyRbZFyANjY24qqrrsJzzz2HoqKipL9fokLU0SSh0SVDw9N0doRki4wL0Dlz5mDy5MmYOHFi2GXdbjfsdrvfIxbxhqjD0Qh7s4x8HU/T2RGSRTIqQF9//XVs374dVVVVES1fVVWFgoIC36OioiLm9441RB0OB+wOB0x6HgY93RGJkGySMQFaXV2Nm2++GatXr4ZOp4tonfnz56OhocH3qK6ujqsM0Yaow+GA3W6HyWiEMY/Ck5BskzG39Ni2bRtOnjyJM844w/ecJEn44osv8OSTT8LtdkOl8g8prVYLrVab0HIoIWq1WmGxWIIOh/KFp8kEY34e0GRLaDkIIemXMQF6wQUXYOfOnX7PXXvttejfvz/uvvvuDuGZTOFC1C88jUaASSkrGyEkdTImQI1GIwYPHuz3nMFggNls7vB8KgQL0Q7hSQjJWhkToJ1R+xDVarVwuVwUnoTkiIwO0A0bNqS7CL4QPX78OFwuF3Q6HYUnITkiY3rhOzOn0+n7v9vtpmvnCckRFKBxanvOs7y8nCYgISSHUIDGoX2HEc3iREhuoQCNUbDedgpRQnIHBWgMwg1VohAlJDdQgEYp0nGefiFqrYPooUlECMk2FKBRiHaQvF+IOiR4KEQJySoUoBGK9QojnudhLi6CRsWh3ilBpgmVCckaFKARiPfyTJ7nYTapoFZxECUKUEKyRU4GKGORzwqfqGvbeY5DUb4KHOUnIVkjJwPUZrNBlsOfj0z0xCAcx0GgGekJyRo5GaBerxdWqzVkiCZrViU6AiUke+RkgBYWFsLj8QQNUZqSjhASiZwMUI1Gg5KSkoAhSuFJCIlUTgYoAAiC0CFEKTwJIdHI2QAF/EP0+PHjFJ6EkKjkdIACLSHa9sZzBoMhjaUhhGSSnA9Qh8Phm0me47iwvfOEEKLI6QBte87TbDYH7VgihJBAcjZAA3UYBepYIoSQYHIyQJ1OZ9AOIwpRQkikcjZAQ/W2U4gSQiKRkwFqMBjCDlVKVojSdHaEZI+cDdBIJDpEPR6ZprMjJIvkZIBGI1EhKnpk1DslmkyEkCxCARqBeENUFEVYHBLUKprOjpBsQgEaoVhDVBRFWKx10KhoQmVCsk3GBGhVVRVGjRoFo9GILl26YNq0adi3b19KyxBtiIqiCIvFAo1GA7NJBY7Sk5CskjEB+vnnn2POnDn4+uuv8emnn8Lj8eDCCy+E0+lMaTkiDVG/8CwuAk/hSUjWUae7AJH66KOP/H5+8cUX0aVLF2zbtg3nnntuSsuihKjFYoHVaoXZbAbPt/4t8gtPsxk8F/k9mAghmSNjjkDba2hoAAAUFxcHXcbtdsNut/s9EiXYkWiH8OQz9iMmhISRka1blmXccsstOOusszB48OCgy1VVVaGgoMD3qKioSGg52oeo2+2m8CQkh2RkC58zZw527dqF119/PeRy8+fPR0NDg+9RXV2d8LIoIaocearVagpPQnJExpwDVdx00014//338cUXX6BHjx4hl9VqtX6TJRNCSCJlzGESYww33XQT3n77baxbtw69e/dOd5EAtJ7zVI5EI7llMiEkO2RMgM6ZMwevvPIKXn31VRiNRtTU1KCmpgbNzc1pK1P7DiOtVkuzOBGSQzImQFesWIGGhgacd955KC8v9z3eeOONtJQnWG87TYVHSO7ImHOgjHWesZThhip1GCdaXJg5f6kIIRGjdh2lSMd5+h2J1tVD7kR/AAghiUEBGoVoB8n7hahd6lRH0YSQ+FGARijWK4wEQUCJuRgeiaG+UQJlKCHZgwI0AvFenikIAkqMKnglBlGij5yQbEGtOYxEXdsuaHgUGVR0BEpIFsnJAI10CrxETwyi0fAQVJSghGSLnA1Qh8MRcplkzarE8xSghGSLnAxQg8EAu90eNERpSjpCSCQyZiB9IhkMBvA875sftO094ik8CSGRyskABVpDs22IUngSQqKRswEK+IeoKIpwu90UnoSQiOV0gAKtR54ulwsAKDwJIRHL+aRQjjwVqb7LJyEkc+X0EWj7c55OpzNgxxIhhASSswEaqMMoUMcSIYQEk5MB6vF44HQ6A3YYUYgSQiKVkwFqs9lQUFAQtMOIQpQQEomcDNBIbj2crBClyUQIyR45GaCFhYURDVVKdIgyRtPZEZJNcjJAOY6LeNlEhajMWiZUprlECMkeORmg0Yo3RGVZhtUuwSsx5KspQQnJFhSgEYo1RGVZhrWuHh6JocigguShACUkW1CARiHaEJVlGVarFR6PByVGFcBxkDxJLyYhJEUoQKMUaYj6hae5GIL3JEQvHX0Skk0oQGMQLkT9wrOkBIJGBXhTXkxCSJJRgMYoWIh2CE9BAJiUtnISQpKHAjQO7UPUYDB0DE9CSNbKuFHdTz31FHr16gWdTocxY8bg22+/TWt5jEYjTCYT7HY7jh8/TuFJSA7JqAB94403cNttt2HBggXYvn07hg4dikmTJuHkyZNpLZfBYPD9X6vVUngSkiNiCtAJEyZg4cKFHZ6vr6/HhAkT4i5UMEuXLsXMmTNx7bXXYuDAgXjmmWeQl5eHF154IWnvGY5yzpPjOOh0OrhcrrC3TCaEZIeYAnTDhg148sknMW3aNL8Z3EVRxOeff56wwrUliiK2bduGiRMn+p7jeR4TJ07E5s2bA67jdrtht9v9HonUvsPIbDb7vs5TiBKS/WL+Cr927VrU1NTgzDPPxKFDhxJYpMAsFgskSULXrl39nu/atStqamoCrlNVVYWCggLfo6KiImHlCdjbDv9zohSihGS3mAO0vLwcn3/+OYYMGYJRo0Zhw4YNCSxWYsyfPx8NDQ2+R3V1dUK2Gyw8FRSihOSGmIYxKbMZabVavPrqq/j73/+Oiy66CHfffXdCC9dWSUkJVCoVTpw44ff8iRMnUFZWFnAdrVYLrVab0HKEC0+F3xAnJsOoSmgxCCGdQExHoKzdrMD33nsvVq9ejcceeywhhQpEEASMGDECn332me85WZbx2WefYezYsUl737YiDU+F70jU4YCjiQbTE5JtYjoC/fnnn1FaWur33KWXXor+/ftj69atCSlYILfddhuuueYajBw5EqNHj8ayZcvgdDpx7bXXJu09FdGGp8JoNAJMht1WizyJgQ5ECckeMQVoz549Az4/aNAgDBo0KK4ChXLFFVegtrYW9913H2pqajBs2DB89NFHHTqWEi3W8FQYjfmA2wqbU4JBnVFDbwkhIWTcpZw33XQTbrrpppS9X7zhqTDmqeCVGEQx8tnwCSGdW8YFaCJ4PJFNypmo8FQY9CowmtKOkKyRk98nbTYbRFEMuUyiw1OhVskJ2Q4hJP1yMkDVajUsFkvQEE1WeBJCsktOBmhhYSE0Gk3AEKXwJIREKicDlOM4mM3mDiFK4UkIiUZOBijQMhFJ2xB1u90UnoSQqORsgAKtIdr2nCiFJyEkUjkdoIQQEo+cDlDlnKfX6/UdeYbqnSeEkLZyNkDbdxhptdqAHUuEEBJMTgYoYyxgh1H7jiUKUUJIKDkZoDabLWhvO4UoISRSORmgbc95BkIhSgiJRE4GaGFhYdihSskKUa+Ukx85IVkpJ1uzRqOJaLlEh6izWYJHpunsCMkWORmg0UhUiDqaJDS6ZGh4ms6OkGxBARqBeEPU4WiEvVlGvo6n6ewIySIUoBGKNUQdDgfsDgdMeh4GPd0RiZBsQgEahWhD1OFwwG63w2Q0wphH4UlItqEAjVKkIeoLT5Op5aZyhJCsQwEag3Ah6h+exjSVkhCSbBSgMQoWohSehOSOnLwrZ6IoIWq1WmGxWKDVauFyuSg8CckRdAQaJyVEGWNwuVzQ6XQUnoTkCArQBHA6nb7/u91uunaekBxBARqntuc8y8vLaQISQnIIBWgc2ncY0SxOhOSWjAjQQ4cO4frrr0fv3r2h1+tRWVmJBQsWpDWggvW2U4gSkjsyohd+7969kGUZzz77LE499VTs2rULM2fOhNPpxJIlS1JennBDldr3zpeYi0D3+SQk+2REgF500UW46KKLfD/36dMH+/btw4oVK1IeoJGO8/QLUWsdSvJkgKOp7AjJJhkRoIE0NDSguLg45DJutxtut9v3s91uj+s9ox0k3xqiFlgczSjQZ8QZE0JIhDKyRR88eBDLly/HDTfcEHK5qqoqFBQU+B4VFRUxv2esVxjxPA9zcRE0Kg71TgkyTahMSNZIa4DOmzcPHMeFfOzdu9dvnaNHj+Kiiy7C5ZdfjpkzZ4bc/vz589HQ0OB7VFdXx1TOeC/P5HkeZpMKahUHUaIAJSRbpPUr/O23344ZM2aEXKZPnz6+/x87dgznn38+xo0bh5UrV4bdvlarhVar7fA8Y5HPCp+oa9t5jkNRvgp2R8ybIIR0MmkN0NLSUpSWlka07NGjR3H++edjxIgRWLVqFXg+9oNnm80Gk8kUdhuJnhiE4zgINCM9IVkjIzqRjh49ivPOOw89e/bEkiVLUFtb63utrKws6u15vV5YrVaYzeagIZqsWZWoI56Q7JERAfrpp5/i4MGDOHjwIHr06OH3WjRfxxWFhYUQRTFoiNKUdISQSGREL/yMGTPAGAv4iIVGo0FJSQk8Hg+sVitkufVrNYUnISRSGRGgySAIQocQpfAkhEQjZwMU8A/R48ePU3gSQqKS0wEKtIRo26FOBoMhjaUhhGSSnA9Qh8Phm0me47gO50QJISSYnA7Qtuc8zWZz0I4lQggJJGcDNFCHUaCOJUIICSYnA9TpdAbtMKIQJYREKmcDNFRvO4UoISQSORmgBoMh7FClZIUoTWdHSPbI2QCNRKJD1OORaTo7QrJITgZoNBIVoqJHRr1ToslECMkiFKARiDdERVGExSFBraLp7AjJJhSgEYo1REVRhMVaB42qZUJlOgIlJHtQgEYh2hAVRREWiwUajQZmkwocpSchWYUCNEqRhqhfeBYXgafwTArL/hp8+cganPhPdczTG3ZmFlcj/r5zDW7Z+gY8spTu4pB2MmJC5c5GCVGLxRJwUma/8DSbwXPZ17A7iyaLA5a9x2HdX4OuQyowYNoZKOxVku5ixa3JK+KVn7/G0wc+R7WzHsOLKsCD/gh3NhSgMQoWoh3Ck+cBRkcOydJ9ZG/seWc7HEfrcWz7Lzj5w1GcMu5U9JsyDHklmTctoSTLePfId1i29zMccJwEAGh4Fa6rPAuqOO4DRpKDAjQO7UPUZDLBarX6hydJKpWgRp8JA7Hzta+hK8yD1+XBz+v34uiWn9Fn4iCceuFgCIaOd2btbBhj+Kr2IBb/8Am21f0CBqCLzoh6sQlddSZMqxiW7iKSAChA46SEaG1tbccjT5ISp5x1Gvav+R4epxtakx4avQCx0YW972zH4a/2o+/kYeh5Tl+oNKp0FzWgHxqO4bEf1mJtzR64ZS/MWgP0Kg0kJkOUJUzvfSby1EK6i0kCoAAlGU9r1KHn2X2x/4PvwRgDx3PQmvSQJRnNdU5896+v8PP6Peg/dTi6ndELHN85ziUea7Jh+b71ePPwVjR63SjU6FGiNfhGazSIzSgS8nBlr5FpLikJhgI0Tso5T0EQfF/hw90ymSRer/P646d1P8DTJPq+svMqHvoiAySPhIbDVnz79DqU9CvDgN+OQEnf6G+HnSh2TzOeP7gR//zxK1jdjTCoteiuL/Qb5sYYQ5Mk4qreY9BFZ0pbWUloFKBxCNRhFKp3niRPflcTuo3shcNfHYAmT/ALI5VGhTxzPrxuD2p/OIa6gyfQbUQv9J96BozlhSkroyh58ebhbfjHvnX4xVkHLa9GN30BeK7jPuLwumBQazG995kpKx+JHgVojAL2tiNI73zn+MaY9fpMGIij3/wEr9sLjU7T4XW1VgOVoIa32YPqTQdR8301eo3vj9P+awh0BXlJKxdjDJ/W7MGSHz7BroZj4ACU6YxQ84HPyTLGYPe4cEn3oehr6pq0cpH4UYDGIFh4KjqEaHEhXbGQAkV9SmHuV46Tu44EDFAA4DgOmjwBar0GYqMbBz78HtWbD+K0i4ag94QBUGsDrxer7XWHsfiHj/FV7Y/wyhJKtPnQqkI3uybJAy2vwbWV4xJaFpJ41K6jFC48FX5XLNXVQ87Cq2Q6G47jUDlxIDgVB0n0hl1Wa9RBX2SA2OjCzte/wboFb6PxREPCyvPQrg9w2RfPYP2JfTCqteieVxg2PAHAJjZheHEFzizpk7CykOSgAI1CpOGp8AtRu5SVlxp2Nl1Pr4CpezHcja6Ilud4HlqTHgDgqndCbHQnrCx77Sdg97hg1uZHPAzJLXnBcxyurzyL5k7IABSgEYo2PBWCIKDEXAyPxFDfKIEyNLl4FY/KiQMBALI3/IxZjDE01zuhyRMwYuZ5KK7skrCyLB95JS4sHwir2wmnV4xonTrRicr8UkwqH5SwcpDkybgAdbvdGDZsGDiOw3fffZeS94w1PBWCIKDEqIJXYhCljPvIM06PMyuRZ86HGMFRaHO9E1qjHmNumojuI3sntBwFgh7/PPNqXNL9dNjEJjSFCVGvLEFmDNdWjoMQwVd9kn4Z15rvuusudOvWLWXvF294KgQNjyKDio5AU0Ct1aD3eQMgSzKYHOYDZ4CpRxGKT01Ob3eeWsAlPYYiTy1AlEOfl60Xm9BVb8Klp5yRlLKQxMuoAP3www/xySefYMmSJXFtx+l0RrRcosJTodHwEFSUoKnQ85y+EPK1EJ2hz2lqjTrU/nAM25//ArI38ZO+bKr9EXfueAvNXg8KNPqgy8mMwS178ceeo2EKsRzpXDImQE+cOIGZM2fi5ZdfRl5eZGP23G437Ha73wNoCVCHwxFy3USHp4LnKUBTQVeYh4qxp0ESvX6dd7JXgrdND71KUEMwaHHk2x/x/erN4Y9Yo/Cf+iOY9e1q2MRmlOtNvk4hryyhySv6lavB04wCjR5X9R6dsPcnyZcRAcoYw4wZMzBr1iyMHBn5dcFVVVUoKCjwPSoqKgC03JXTbrcHDdFkhSdJrd7n94dKq4a3ueXcoyR64Wpogsfp9uttV+s00OgFHNqwF7vf2pKQ0RIH7Cfw56//hZMuB8r1BW3CU8Zxlx1Or4galx2MMTDG4PSKuKTHUHTPK4r7vUnqpDUZ5s2bB47jQj727t2L5cuXw+FwYP78+VFtf/78+WhoaPA9qqurAbQEqMlkChiiFJ7Zw9S9CGVDT4Gn2QOvywO3w4WyoafgtItOh+TxwtPU2qmj0QtQCWoc+GgnDnzwn7je92hTPa7/+l843FSHcr3JdzcCmcmocTXg1PxSLDh9CvLVWhxrtsPhdUGv0uCaPmPjel+Semnt6rv99tsxY8aMkMv06dMH69atw+bNm6HV+s/rOHLkSFx11VV46aWXAq6r1Wo7rKMwGlsm21W+1huNRgrPLNTngoE4vv0QRKcbPcZU4ozrz4VKo4JX9OCnz34Ax3NQ/3rVkmDQwu1oxg9vb4OQr0Wv8f2jfj+LqxHXbf4X9ttPoExvgurX69xlxnCs2Y4eeUV4Yew16GcqQ29DCf669TVUN9VjWo9hGFzYPaG/O0m+tAZoaWkpSktLwy73j3/8A3//+999Px87dgyTJk3CG2+8gTFjxsT8/m1DVBRFuN1uCs8sU9KvDL3PGwBOzWPw5aPAq1uuPz/9j2PhcbpRvflHgOOg1rY0Ba1RD1dDE75fvRkagzaqoU12TzP+8s3L+N5Wja56k+9ad8YYjjc3oFSbj5VjpqOfqWUmqPPL+uHFsTOwfN96zO03IcG/OUmFjBhsdsopp/j9nJ+fDwCorKxEjx494tq2cuTpcrWMGaTwzC4cx2Ho9I7XlPMqHmdcdy48zR4c33EYHK/3TbisNenhsjVh+/NfQKMX0GVQ+CNDl+TBTVtewybLjyjVGqFpE541LjtMGh2eGvUHnFHsvy+PNPfCS+OuTcBvStIh55NCOfJURDrEiWQ+laDGqBvOR+mAcrjtzb5hTBzHQVeYB0+ziC3PrEfdjydDbscrS7h925v45PgemAWD3/Xute5G6FQaLB3xe5zbtW9Sfx+SehkZoL169QJjDMOGDYtrO23PeZaXlwftWCLZS5MnYPScC1DYqwTNDU2QpZbLPzmOg77IALe9Gd88uRYNR+oCri8zGff95z38b/UOFAl66Ntc8251N4IDhwdOn4rJ3Yek5PchqZWRAZoIgTqMjEYjhWgO0pn0OHPu/4OpWxFc9U4w2T9Em+uc+Gb5Wjhr7X7rMcaw+IdP8NJPm2HU6GBQt3ZY2sQmeGQZdw28EH+ksZ1ZKycD1OPxBO1tpxDNTXnmfJw59/8hr9SE5vom31hQjm/5Ou84bsPX/1gLl63Jt87Kg1/iyf0boFNpYNLofM87PC40Sx7M7jses/uel+pfhaRQTgaozWYL2dtOIZqbjOWFGPPXC6Ar0KO5zukLUV7FQ19ogO0XK755ci1EpxtvHNqCqt0fQcVxKBJar4xzet2we1yY3vtMzBt0EU1Jl+VyMkDVanXY3vZkhShNJtK5FfUqxagbJ0AwaNFc3yZE1Tx0BXpYD5zAu0vfxoJt70BiEsyCwbdus+RBvdiMqRXD8MDQqQHvdUSyS07WcGFhYURDlRIdoozRdHaZoHRAN5zx5/FQazVwNTT7QlSlUUHK41G/+zgu3JyHMrXRd4Tplrywup2YWNYfj59xuW8YE8luGTEONNEkSPDInoiW1Rl08Mpe2Bps8Mpe5Bvzo39DJgOyF3UOCTwDPLIHzVIzwEJPb0bSp2hoFwz80yjseulruBzN0Jp0cEkeHBZt4ASGwUfywG3x4MszRXhkCSdcdowp6YXHRvwO4KSW+iWdk+yBSvbAE2Z6wUjkZIDavDaIEc4QDgDQA0xmqLPXwSE7oDFEeeMxSYLU4IZX4mDQuHHSW4tjzXvB+Jz8+DPHcMBYXwbr24fhdXjRJEjwMAkqngPHgFIL4JScsLibcZqpGDcPOQNHvT/jKP1d7NQ42Ytiz3FYvI1xb4tacISU0PQ0evx+DofJDGKDB5zEIS/PC85DJ0EzSeH5ZZCbvKj/6BjyeBXMKh0kpxc1JhEfjGuExd2MCoMJfxs2HsVamscz11CARiHaEGUyg9vmBvPKKMhvOSxhkZ05IJ0Ex3EovrgH5GYJtg01MMlq2CpUWD20BscEF3rojFgw/DyU5xnTXVSSBhSgUYo0RFvDk0FbKEAtOeH10pCWTMTxHEp+1xNgDF6bB33+0BvXNJTik6M/4s/9zkDP/MJ0F5GkSU4GaKG6ECa1KfYNFACNfCMaHY3Q8boOHUuyLMNms0GQBRSVFEGjUYFv9sDDGNycjC7qUpj0/QE+ynOpJL2uGej77+Aup+OW09JYFhI72QNVkwM16vq4N5WTAarm1NDEGV5FBUVQ82rY7XaoebVvajxZlmGrt0HySigtKYUgCACTAE4FiWPgOA4aXgO9Sk8BSkg6cGqA10CTgE7cnAzQRGk/KbPBYIDVaoXH40FJSUlLeBJCshYFaJzahqjdbgfHcRSehOQIuiwmAQyG1sv5tFothSchOYICNE6yLMNqtbZMwqvTweVy0QQkhOQI+gofByU8257zdDgcfjeqI4RkLwrQGAUKTyDw3T4JIdmJAjQGwcJT0SFE8/M6bIMQkvkoQKMULjwVfiHKZBhpdjNCsg4FaBQiDU9Fa4g2AIIErUB9doRkEwrQCEUbngqj0QgwGXZbLfIkBjoQJSR70CFRBGINT4XRmA+TnkejS4aXZqQnJGvQEWgY8YanwpingldiEEWakYmQbJGTAerxRDYpZ6LCU2HQq8C8NKEyIdkiJ79P2mw2iGLoW3okOjwVapWckO0QQtIvJwNUrVbDYrEEDdFkhSchJLtkVICuWbMGY8aMgV6vR1FREaZNmxbTdgoLC6HRaAKGKIUnISRSGXMO9H/+538wc+ZMPPTQQ5gwYQK8Xi927doV07Y4joPZbIbVaoXFYvEFZUrDM8LbKhNCEkyO4o68YWREgHq9Xtx8881YvHgxrr/+et/zAwcODLFWaDzP+4Wo2WyG3W5P3ZFn3dbkbp8QknQZEaDbt2/H0aNHwfM8hg8fjpqaGgwbNgyLFy/G4MGDg67ndrvhdrt9PyvXpns8Ht9Xd5PJhLq6Opw8eRIAUFxcDABhO5miwmTAy+DxMnhlDg3NGfGxE5LVGlw5ckuPn376CQBw//33Y+nSpejVqxcee+wxnHfeedi/f78v9NqrqqrCwoULOzxfW1sLp9MJAGCMwev1grGW4UUnT54Ezyf41DBjAPNAZgyMafHBwZ5Qq/zHg3olBo/UUgaNiuvweirIMuD2towS4DkOgpoDl+JiMAaIXgb51/rQqnkkujoiQfXRIpvr43B1/JP8pDVA582bh0ceeSTkMnv27IEst+xE99xzDy699FIAwKpVq9CjRw+8+eabuOGGGwKuO3/+fNx2222+n+12OyoqKsBxHHiehyzL8Hg8YIxBEAR4PB54PB4IggCVKpEXXTJA8v0PWg0Pjbp1B3A2S3C6ZOTrWvbMxl//b9Cn7sJPj0eG3SVBreKQr+Nhc0qQZA5F+SpwKWq1jDHUN0rwSgyFBhUaXTIaXRKKDCpoNKlrtVQfLbK9PhLRxNMaoLfffjtmzJgRcpk+ffrg+PHjAPzPeWq1WvTp0weHDx8Ouq5Wq4VWq+3wvLIDKgPqtVot1Go1VCoV3G43PB4POI6DWp3Aj4fXA7IMWZKhyS+DILTckdPhaEST5EBhsRHGX2+PrHY0wu5wQM21PpdMoiiiwVkHbZ4G5uIi8DwPwSjCYq2D3dP6XDLJsgxrXT1k3oMupcUQBAF5vz7XIHpQYixOyYgIqo8WuVAfKp07/EJhpDVAS0tLUVpaGna5ESNGQKvVYt++fTj77LMBtITfoUOH0LNnz6jflzEGt9vtO/JUgpLneWi1Wrjdbt850MSFKNfy4DiA4wFO1TJ7vaMRJlOB38TLRlMBwPEt52w5PqmTMouiCIu1HhqNALPZ7GuYglaPkpJSWCwWWOtsfq8lWktjtcHj8aJEuRU0AF6lgtlc0tLRZ61Peuce1UeLnKmPBBzJZ8Q4UJPJhFmzZmHBggX45JNPsG/fPtx4440AgMsvvzzq7Ymi2CE8FUqIchwHURTh9XoT8ju0p9z6w2QyBdwBjEYjTCYT7HZ70u6xJIoiLBYLNBpNwAYpCAJKSkrg8XhgtVp9p1ISKdzQMWW0RLBxu4lC9dGC6iM6GdGJBACLFy+GWq3G9OnT0dzcjDFjxmDdunUoKiqKaXuBwlOR3CNRwOl0oqmpKejOoUjm7UHCNVaF0mgtFgusVmtCj3wiHXfbfshZoo98wjVWBdVHi1yoj0hlxBEoAGg0GixZsgQnTpyA3W7Hp59+ikGDBsW8rXCBmKwjUa/Xi8bGxrA7hyIZf2kjbayKZBz5RHvRQrKOfCJtrAqqjxbZXB/RyJgATaRI/2InOkRFUYQsy8jPz4/qr2Uid5JoG6sikY021iu+Et1oo22sCqqPFtlYH9HKyQCNRqJC1O12Q5Ik8DwPg8EQ9fqJ2ElibayKRDTaeC+XTVSjjbWxKqg+WmRTfcSCAjQC8Yao2+2G1+uFSqWK61xqPDtJvI1VEU+jTdRcA/E22ngbq4Lqo0U21EesKEAjFGuIKuGpVqsTcqI9lp0kUY1VEUujTfRELbE22kQ1VgXVR4tMro94UIBGIdoQbRuegQb0xyqanSTRjVURTaNN1ixX0TbaRDdWBdVHi0ysj3hRgEYp0hBNVngqItlJktVYFZE02mRPERhpo01WY1VQfbTIpPpIxMgaCtAYhAvRZIenItROkuzGqgjVaFM1v2q4Rpvsxqqg+miRKfWhjB+NBwVojIKFaKrCUxFoJ0lVY1UEarSpntk/WKNNVWNVUH20yIT6SMTFMRlzJVJn1P6KJY/HA1mWUxaeirZXZIiiCLfbnbLGqmh7hYzFYgHQ8hUplbdFaX+FjFarhcvlSlljVVB9tOjs9ZGIMtARaJyUEGWMQZZl38+pZjQaodPp4HK5wBhLaWNVCELLBBjKtIBmsznl95RSGi1jDC6XCzqdLi2X+FF9tOjM9ZGIaQEpQBOg7X3mlQmaU035y6pQJoxOJVmW/c4r2e32pEx4EU7b373tfAapRPXRKpvrgwI0Tm3Peer1+qTP4hRI23Ns5eXlabkio+05NmWawmTOGhRM23Ns5eXlSZ81KBCqj1aduT6am5vj3jYFaBzadxilaiq8tgJ1UKR6MHGgDopUTL3WXvsOilRNvdYW1Uerzl4fFKBpFKy3PZUhGqp3N1WNNlTvbiobbbDe3VQ2WqqPVplQH3q9Pu73oACNQbihSqkI0UiGxiS70UYyNCYVjTbc0JhUNFqqj1aZUh8UoGkQ6TjPZIZoNOMKk9VooxlXmMxGG+m4wmQ2WqqPVplWH/GiAI1CtIPk24eoJElxlyGWnSPRjTaWQdnJaLTRDspORqOl+miVqfURDwrQCMV6hVH7EI1nR41n50hUo43nipZENtpYr2hJZKOl+miV6fURKwrQCMR7eWbbEPV6vX7jRiOViJ0j3kabiMsBE9Fo470cMBGNluqjVbbURyxyMkAZYxEvm6hr29uGaH19fVQ7SSJ3jlgbbSKvpY6n0SbqWup4Gi3VR6tsq49o5WSARvpVOtETg3Ac55uVPtKdJBk7R7SNNhkTUcTSaBM9EUUsjZbqo1W21kc0cjJAgZZwDLWTJGtWJZ7nUVhYGNFOksydI9JGm8xZfKJptMmaxSeaRkv10Srb6yNSORmgGo0GjLGgIZrsKeki2UlSsXOEa7SpmAItkkab7CnQqD5aUX1EJycDlOd5CIIQMERTNZ9nqJ0klTtHsEabyvkjQzXaVM0fSfXRiuojinKm7Z3TTLnJW9sQTfVkyIF2knTsHO0bbaon3wUCN9pUT75L9dGK6iMyOT2hsjIjtSiKvokFUj0ZcttJZ2trawG0zuOYyp2j7aSzdrsdHMeldPJdwH8S4OPHjwNAyiffpfpoRfURXvpLkGZqtdpvYlWNRpPyMvA8D5PJ5PvZZDKlZecwGAy+/2u12pRPvgu0NI62f8DalilVqD5aUX2E1jlKEYH9+/dj6tSpKCkpgclkwtlnn43169fHvV3l6zvP8+A4LmzvfDKIogir1QqNRgONRgOr1ZrySWeVr4kcx/lm7k7l/JUKh8Phm7mc47iUz18JUH20RfURWsYE6JQpU+D1erFu3Tps27YNQ4cOxZQpU1BTUxPzNttPhhysYymZ2p7TKSkpQUlJSconnW1/js1sNqdlEuC259jMZnPK568EqD7aovoILyMC1GKx4MCBA5g3bx5OP/10nHbaaXj44YfR1NSEXbt2BV3P7Xb7ziEpj7avte8wCtSxlEyBToinetLZYB0UqZ4EOFAHRaonAab6aEX1EZmMCFCz2Yx+/frhX//6F5xOJ7xeL5599ll06dIFI0aMCLpeVVUVCgoKfI+KigoALfcwCtbbnqoQDdWbmKqdJFzvbqoabaje3VQ1WqqPVlQfkcuIAOU4DmvXrsWOHTt8d9dbunQpPvroIxQVFQVdb/78+WhoaPA9qqurASDsrYeTHaIejyfsUIxk7ySRDo1JdqONZGhMshttJENjqD5a5UJ9RCqtw5jmzZuHRx55JOQye/bsQb9+/TBnzhx06dIFX375JfR6Pf75z3/iN7/5DbZs2YLy8vKA62q1Wr+QVCYRUW7zGm5WJFmW4fF40NTUBEEQ4r4NqnLrY7fbDUEQkJeXF7YRaDQaOJ1OHD582HcJaLwYY7DZbPB6vSgsLERzc3PY+8NwHIeamho4HI6E9cQ6nU44nU4YDAbIsoyGhoaQywuCAJvNBqfTicLCwoTcltbj8cBms0GtVlN95Fh9KHfm3PNTx9eU58JNPMSxaKYmSrDa2lpYrdaQy/Tp0wdffvklLrzwQtTX1/sNZzjttNNw/fXXY968eRG935EjR3xf4wkhJJzq6mr06NEj6OtpPQJVbrcaTlNTEwB0OJTneT6qrw/dunVDdXU1jEYjHA4HKioqUF1d7RfKmcJut2ds+TO57EBmlz+Tyw6krvyMMTgcDnTr1i3kchlxJdLYsWNRVFSEa665Bvfddx/0ej2ee+45/Pzzz5g8eXLE2+F53vfXRPm6YTKZMnJHUmRy+TO57EBmlz+Tyw6kpvwFBQVhl8mITqSSkhJ89NFHaGxsxIQJEzBy5Eh89dVXePfddzF06NB0F48QkqMy4ggUAEaOHImPP/443cUghBCfjDgCTQatVosFCxakdOKQRMrk8mdy2YHMLn8mlx3ofOVPay88IYRkspw9AiWEkHhRgBJCSIwoQAkhJEYUoIQQEqOcCdANGzaA47iAjy1btgRd77zzzuuw/KxZs1JY8la9evXqUJaHH3445Doulwtz5syB2WxGfn4+Lr30Upw4cSJFJW5x6NAhXH/99ejduzf0ej0qKyuxYMGCsBNApPOzf+qpp9CrVy/odDqMGTMG3377bcjl33zzTfTv3x86nQ5DhgzBBx98kJJytlVVVYVRo0bBaDSiS5cumDZtGvbt2xdynRdffLHDZ6zT6VJUYn/3339/h7L0798/5Dpp/9xZjnC73ez48eN+jz//+c+sd+/eTJbloOuNHz+ezZw502+9hoaGFJa8Vc+ePdmiRYv8ytLY2BhynVmzZrGKigr22Wefsa1bt7IzzzyTjRs3LkUlbvHhhx+yGTNmsI8//pj9+OOP7N1332VdunRht99+e8j10vXZv/7660wQBPbCCy+w3bt3s5kzZ7LCwkJ24sSJgMtv3LiRqVQq9uijj7IffviB3XvvvUyj0bCdO3cmvaxtTZo0ia1atYrt2rWLfffdd+ziiy9mp5xySsh9ZNWqVcxkMvl9xjU1NSksdasFCxawQYMG+ZWltrY26PKd4XPPmQBtTxRFVlpayhYtWhRyufHjx7Obb745NYUKo2fPnuzxxx+PeHmbzcY0Gg178803fc/t2bOHAWCbN29OQgkj9+ijj7LevXuHXCZdn/3o0aPZnDlzfD9LksS6devGqqqqAi7/+9//nk2ePNnvuTFjxrAbbrghqeUM5+TJkwwA+/zzz4Mus2rVKlZQUJC6QoWwYMECNnTo0IiX7wyfe858hW/vvffeg9VqxbXXXht22dWrV6OkpASDBw/G/PnzfZObpMPDDz8Ms9mM4cOHY/HixfB6vUGX3bZtGzweDyZOnOh7rn///jjllFOwefPmVBQ3qIaGBhQXF4ddLtWfvSiK2LZtm99nxvM8Jk6cGPQz27x5s9/yADBp0qRO8RkDCPs5NzY2omfPnqioqMDUqVOxe/fuVBQvoAMHDqBbt27o06cPrrrqKhw+fDjosp3hc8+YSzkT7fnnn8ekSZNCTlUFAH/84x/Rs2dPdOvWDf/5z39w9913Y9++ffjf//3fFJW01dy5c3HGGWeguLgYmzZtwvz583H8+HEsXbo04PI1NTUQBAGFhYV+z3ft2jWue0nF6+DBg1i+fDmWLFkScrl0fPYWiwWSJKFr165+z3ft2hV79+4NuE5NTU3A5dP5GcuyjFtuuQVnnXUWBg8eHHS5fv364YUXXsDpp5+OhoYGLFmyBOPGjcPu3bvDto1EGzNmDF588UX069cPx48fx8KFC3HOOedg165dASd37hSfe8qOdZPk7rvvZgBCPvbs2eO3TnV1NeN5nr311ltRv99nn33GALCDBw+mrfyK559/nqnVauZyuQK+vnr1aiYIQofnR40axe666660lP3IkSOssrKSXX/99VG/X6I/+0COHj3KALBNmzb5PX/nnXey0aNHB1xHo9GwV1991e+5p556inXp0iVp5Qxn1qxZrGfPnqy6ujqq9URRZJWVlezee+9NUskiV19fz0wmE/vnP/8Z8PXO8Lln/BHo7bffjhkzZoRcpk+fPn4/r1q1CmazGZdccknU7zdmzBgALUdRlZWVUa/fXizlb1sWr9eLQ4cOoV+/fh1eLysrgyiKsNlsfkehJ06cQFlZWTzFBhB92Y8dO4bzzz8f48aNw8qVK6N+v0R/9oGUlJRApVJ1GKkQ6jMrKyuLavlku+mmm/D+++/jiy++iPooUqPRYPjw4Th48GCSShe5wsJC9O3bN2hZOsXnnrKo7iRkWWa9e/cO2wMczFdffcUAsO+//z7BJYveK6+8wnieZ3V1dQFfVzqR2h5p7927Ny2dSEeOHGGnnXYau/LKK5nX641pG6n67EePHs1uuukm38+SJLHu3buH7ESaMmWK33Njx45NeSeSLMtszpw5rFu3bmz//v0xbcPr9bJ+/fqxW2+9NcGli57D4WBFRUXsiSeeCPh6Z/jccy5A165dG/Rr8ZEjR1i/fv3YN998wxhj7ODBg2zRokVs69at7Oeff2bvvvsu69OnDzv33HNTXWy2adMm9vjjj7PvvvuO/fjjj+yVV15hpaWl7Oqrrw5afsZavsqdcsopbN26dWzr1q1s7NixbOzYsSkt+5EjR9ipp57KLrjgAnbkyBG/YSrByp7Oz/71119nWq2Wvfjii+yHH35gf/nLX1hhYaFveM/06dPZvHnzfMtv3LiRqdVqtmTJErZnzx62YMGCtAxjuvHGG1lBQQHbsGGD32fc1NTkW6Z92RcuXOgbXrZt2zZ25ZVXMp1Ox3bv3p3SsjPG2O233842bNjAfv75Z7Zx40Y2ceJEVlJSwk6ePBmw7J3hc8+5AP3DH/4QdBzkzz//zACw9evXM8YYO3z4MDv33HNZcXEx02q17NRTT2V33nlnWsaBbtu2jY0ZM4YVFBQwnU7HBgwYwB566CG/85/ty88YY83NzWz27NmsqKiI5eXlsd/+9rd+wZUKq1atCnqONFjZ0/3ZL1++nJ1yyilMEAQ2evRo9vXXX/teGz9+PLvmmmv8lv/3v//N+vbtywRBYIMGDWJr1qxJSTnbCvYZr1q1yrdM+7Lfcsstvt+za9eu7OKLL2bbt29PedkZY+yKK65g5eXlTBAE1r17d3bFFVf4ne/ujJ87TWdHCCExytlxoIQQEi8KUEIIiREFKCGExIgClBBCYkQBSgghMaIAJYSQGFGAEkJIjChACSEkRhSghBASIwpQQgiJEQUoIYTEiAKU5KTa2lqUlZXhoYce8j23adMmCIKAzz77LI0lI5mEJhMhOeuDDz7AtGnTsGnTJvTr1w/Dhg3D1KlTg94ihZD2KEBJTpszZw7Wrl2LkSNHYufOndiyZQu0Wm26i0UyBAUoyWnNzc0YPHgwqqursW3bNgwZMiTdRSIZhM6Bkpz2448/4tixY5BlGYcOHUp3cUiGoSNQkrNEUcTo0aMxbNgw9OvXD8uWLcPOnTvRpUuXdBeNZAgKUJKz7rzzTrz11lv4/vvvkZ+fj/Hjx6OgoADvv/9+uotGMgR9hSc5acOGDVi2bBlefvllmEwm8DyPl19+GV9++SVWrFiR7uKRDEFHoIQQEiM6AiWEkBhRgBJCSIwoQAkhJEYUoIQQEiMKUEIIiREFKCGExIgClBBCYkQBSgghMaIAJYSQGFGAEkJIjChACSEkRv8fnGZMDhgRWr0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the geometry\n",
    "fig, ax1 = plt.subplots(figsize=(4, 4))\n",
    "sim.plot(y=0, ax=ax1)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Run Simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-02-03T04:32:15.675281Z",
     "iopub.status.busy": "2023-02-03T04:32:15.675109Z",
     "iopub.status.idle": "2023-02-03T04:32:39.073912Z",
     "shell.execute_reply": "2023-02-03T04:32:39.073430Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "
           INFO     Created task 'bc_example2' with task_id '46af9556-4dff-43c1-8173-27e13c724027'.   webapi.py:120\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Created task \u001b[32m'bc_example2'\u001b[0m with task_id \u001b[32m'46af9556-4dff-43c1-8173-27e13c724027'\u001b[0m.   \u001b]8;id=863674;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=321306;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#120\u001b\\\u001b[2m120\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": [
       "\u001b[?25l"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ca7995c4f1154272876c48cf538fb15b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n",
       "\u001b[?25h"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:32:18] INFO     Maximum FlexUnit cost: 0.025                                                      webapi.py:253\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:32:18]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Maximum FlexUnit cost: \u001b[1;36m0.025\u001b[0m                                                      \u001b]8;id=229429;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=231907;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#253\u001b\\\u001b[2m253\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
           INFO     status = queued                                                                   webapi.py:262\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = queued                                                                   \u001b]8;id=783844;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=398714;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#262\u001b\\\u001b[2m262\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": [
       "\u001b[?25l"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "876461c8cfe04248b31ca481b983b5a5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:32:20] INFO     status = preprocess                                                               webapi.py:274\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:32:20]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = preprocess                                                               \u001b]8;id=315207;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=918694;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#274\u001b\\\u001b[2m274\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n",
       "\u001b[?25h\r",
       "\u001b[1A\u001b[2K"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:32:24] INFO     starting up solver                                                                webapi.py:278\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:32:24]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m starting up solver                                                                \u001b]8;id=624231;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=428114;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#278\u001b\\\u001b[2m278\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:32:30] INFO     running solver                                                                    webapi.py:284\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:32:30]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m running solver                                                                    \u001b]8;id=201949;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=716081;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#284\u001b\\\u001b[2m284\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": [
       "\u001b[?25l"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e04bf97e2c8540de9edf0a14d831e5bf",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:32:34] INFO     early shutoff detected, exiting.                                                  webapi.py:295\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:32:34]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m early shutoff detected, exiting.                                                  \u001b]8;id=1499;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=237728;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#295\u001b\\\u001b[2m295\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n",
       "\u001b[?25h"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
           INFO     status = postprocess                                                              webapi.py:301\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = postprocess                                                              \u001b]8;id=357486;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=921787;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#301\u001b\\\u001b[2m301\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": [
       "\u001b[?25l"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4236c74eb70746cb8a43ec8e278524cb",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:32:35] INFO     status = success                                                                  webapi.py:307\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:32:35]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = success                                                                  \u001b]8;id=683934;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=653798;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#307\u001b\\\u001b[2m307\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n",
       "\u001b[?25h\r",
       "\u001b[1A\u001b[2K"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:32:36] INFO     Billed FlexUnit cost: 0.025                                                       webapi.py:311\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:32:36]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Billed FlexUnit cost: \u001b[1;36m0.025\u001b[0m                                                       \u001b]8;id=261475;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=560941;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#311\u001b\\\u001b[2m311\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
           INFO     downloading file \"output/monitor_data.hdf5\" to \"data/bc_example2.hdf5\"            webapi.py:593\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m downloading file \u001b[32m\"output/monitor_data.hdf5\"\u001b[0m to \u001b[32m\"data/bc_example2.hdf5\"\u001b[0m            \u001b]8;id=23879;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=544103;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#593\u001b\\\u001b[2m593\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": [
       "\u001b[?25l"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0a6282b8fb744d779eb30c987c166b94",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n",
       "\u001b[?25h"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:32:39] INFO     loading SimulationData from data/bc_example2.hdf5                                 webapi.py:415\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:32:39]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m loading SimulationData from data/bc_example2.hdf5                                 \u001b]8;id=407467;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=148797;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#415\u001b\\\u001b[2m415\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data = web.run(sim, task_name=\"bc_example2\", path=\"data/bc_example2.hdf5\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Visualize results\n",
    "We can observe the effect of the PEC on x-plus by looking at the fields in the time domain as they bounce off the PEC boundary, as shown in the figure. Furthermore, the z-component of the electric field, which is tangential to the PEC boundary, goes to 0 at the boundary as expected."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-02-03T04:32:39.401556Z",
     "iopub.status.busy": "2023-02-03T04:32:39.401448Z",
     "iopub.status.idle": "2023-02-03T04:32:40.913091Z",
     "shell.execute_reply": "2023-02-03T04:32:40.911167Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "
           INFO     Auto meshing using wavelength 1.4142 defined from sources.                     grid_spec.py:510\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Auto meshing using wavelength \u001b[1;36m1.4142\u001b[0m defined from sources.                     \u001b]8;id=238745;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=308186;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py#510\u001b\\\u001b[2m510\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(10, 4))\n",
    "sim_data.plot_field(\n",
    "    field_monitor_name=\"xz_time\", field_name=\"Ex\", y=0, val=\"abs\", t=2e-13, ax=ax1\n",
    ")\n",
    "sim_data.plot_field(\n",
    "    field_monitor_name=\"xz_time\", field_name=\"Ez\", y=0, val=\"abs\", t=2e-13, ax=ax2\n",
    ")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Example 3: different boundaries on different edges\n",
    "Next, let's consider an even more general setup where all 6 boundaries of the domain are individually specified, and different types of boundaries are mixed in the plus and minus sides along each dimension.\n",
    "\n",
    "We'll test this set of boundaries by placing the point dipole at the center of the domain again, this time studying the fields at the edges of the domain and checking that the various tangential field components satisfy the PEC and PMC boundary conditions as expected from theory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-02-03T04:32:40.918996Z",
     "iopub.status.busy": "2023-02-03T04:32:40.918654Z",
     "iopub.status.idle": "2023-02-03T04:32:41.137455Z",
     "shell.execute_reply": "2023-02-03T04:32:41.137003Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "
[22:32:40] WARNING  A periodic boundary condition was specified on the opposide side of a perfect   boundary.py:416\n",
       "                    electric or magnetic conductor boundary. This periodic boundary condition will                 \n",
       "                    be replaced by the perfect electric or magnetic conductor across from it.                      \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:32:40]\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING \u001b[0m A periodic boundary condition was specified on the opposide side of a perfect   \u001b]8;id=616571;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/boundary.py\u001b\\\u001b[2mboundary.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=715416;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/boundary.py#416\u001b\\\u001b[2m416\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m         electric or magnetic conductor boundary. This periodic boundary condition will  \u001b[2m               \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m         be replaced by the perfect electric or magnetic conductor across from it.       \u001b[2m               \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
           INFO     Auto meshing using wavelength 1.4142 defined from sources.                     grid_spec.py:510\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Auto meshing using wavelength \u001b[1;36m1.4142\u001b[0m defined from sources.                     \u001b]8;id=924647;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=452806;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py#510\u001b\\\u001b[2m510\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       ""
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# define the boundary spec\n",
    "bspec_general = td.BoundarySpec(\n",
    "    x=td.Boundary(minus=td.Periodic(), plus=td.PECBoundary()),\n",
    "    y=td.Boundary(minus=td.PECBoundary(), plus=td.PMCBoundary()),\n",
    "    z=td.Boundary(minus=td.Absorber(), plus=td.PML()),\n",
    ")\n",
    "# note that when a periodic boundary is applied across from a PEC (PMC), the periodic boundary is just replaced by the PEC (PMC).\n",
    "\n",
    "\n",
    "# initialize the simulation object with the above boundary spec and the dipole source from earlier\n",
    "sim = td.Simulation(\n",
    "    size=sim_size,\n",
    "    sources=[dipole],\n",
    "    monitors=[monitor_xz_freq, monitor_yz_freq, monitor_xy_freq],\n",
    "    run_time=run_time,\n",
    "    boundary_spec=bspec_general,\n",
    ")\n",
    "\n",
    "# Visualize the geometry\n",
    "fig, ax1 = plt.subplots(figsize=(4, 4))\n",
    "sim.plot(x=0, ax=ax1)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Run Simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-02-03T04:32:41.140311Z",
     "iopub.status.busy": "2023-02-03T04:32:41.139973Z",
     "iopub.status.idle": "2023-02-03T04:33:23.475221Z",
     "shell.execute_reply": "2023-02-03T04:33:23.474778Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "
[22:32:41] INFO     Created task 'bc_example3' with task_id 'a417a3c2-98e9-49e3-8329-e4a5aaf055f0'.   webapi.py:120\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:32:41]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Created task \u001b[32m'bc_example3'\u001b[0m with task_id \u001b[32m'a417a3c2-98e9-49e3-8329-e4a5aaf055f0'\u001b[0m.   \u001b]8;id=855283;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=748322;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#120\u001b\\\u001b[2m120\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": [
       "\u001b[?25l"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bf62a892fab34e89bdff5132e860c3a7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n",
       "\u001b[?25h"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:32:43] INFO     status = queued                                                                   webapi.py:262\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:32:43]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = queued                                                                   \u001b]8;id=466004;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=833041;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#262\u001b\\\u001b[2m262\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": [
       "\u001b[?25l"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0fa00325d42f496691419abc9fa9fce0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:32:52] INFO     Maximum FlexUnit cost: 0.025                                                      webapi.py:253\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:32:52]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Maximum FlexUnit cost: \u001b[1;36m0.025\u001b[0m                                                      \u001b]8;id=590870;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=281306;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#253\u001b\\\u001b[2m253\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:32:54] INFO     status = preprocess                                                               webapi.py:274\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:32:54]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = preprocess                                                               \u001b]8;id=828532;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=236779;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#274\u001b\\\u001b[2m274\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n",
       "\u001b[?25h\r",
       "\u001b[1A\u001b[2K"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:32:57] INFO     starting up solver                                                                webapi.py:278\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:32:57]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m starting up solver                                                                \u001b]8;id=453012;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=665430;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#278\u001b\\\u001b[2m278\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:33:08] INFO     running solver                                                                    webapi.py:284\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:33:08]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m running solver                                                                    \u001b]8;id=203020;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=681689;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#284\u001b\\\u001b[2m284\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": [
       "\u001b[?25l"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c63fd0f52e744e15be3b965ace1aac3d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n",
       "\u001b[?25h"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": [
       "\u001b[?25l"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b69e7119b82d499e9549bec6d90e402e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:33:17] INFO     status = postprocess                                                              webapi.py:307\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:33:17]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = postprocess                                                              \u001b]8;id=675314;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=560274;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#307\u001b\\\u001b[2m307\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:33:20] INFO     status = success                                                                  webapi.py:307\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:33:20]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = success                                                                  \u001b]8;id=290493;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=686021;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#307\u001b\\\u001b[2m307\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n",
       "\u001b[?25h\r",
       "\u001b[1A\u001b[2K"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:33:21] INFO     Billed FlexUnit cost: 0.025                                                       webapi.py:311\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:33:21]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Billed FlexUnit cost: \u001b[1;36m0.025\u001b[0m                                                       \u001b]8;id=836069;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=907159;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#311\u001b\\\u001b[2m311\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
           INFO     downloading file \"output/monitor_data.hdf5\" to \"data/bc_example3.hdf5\"            webapi.py:593\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m downloading file \u001b[32m\"output/monitor_data.hdf5\"\u001b[0m to \u001b[32m\"data/bc_example3.hdf5\"\u001b[0m            \u001b]8;id=240731;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=640875;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#593\u001b\\\u001b[2m593\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": [
       "\u001b[?25l"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b9b8fd21c5914e388e6fb482d8eb3c4c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n",
       "\u001b[?25h"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:33:23] INFO     loading SimulationData from data/bc_example3.hdf5                                 webapi.py:415\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:33:23]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m loading SimulationData from data/bc_example3.hdf5                                 \u001b]8;id=363752;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=837420;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#415\u001b\\\u001b[2m415\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
           WARNING  Simulation final field decay value of 1.06e-05 is greater than the simulation     webapi.py:421\n",
       "                    shutoff threshold of 1e-05. Consider simulation again with large run_time                      \n",
       "                    duration for more accurate results.                                                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING \u001b[0m Simulation final field decay value of \u001b[1;36m1.06e-05\u001b[0m is greater than the simulation     \u001b]8;id=289846;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=698037;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#421\u001b\\\u001b[2m421\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m         shutoff threshold of \u001b[1;36m1e-05\u001b[0m. Consider simulation again with large run_time         \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m         duration for more accurate results.                                               \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data = web.run(sim, task_name=\"bc_example3\", path=\"data/bc_example3.hdf5\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "#### Visualize results\n",
    "In x-plus, we have a PEC, so Ey and Ez should be nearly zero on the x-plus boundary.\n",
    "\n",
    "In x-minus we have a periodic condition across from the PEC in x-plus, which just means that there's also a PEC in x-minus. So again Ey and Ez should be nearly zero on the x-minus boundary.\n",
    "\n",
    "In y-minus, we have another PEC, so Ex and Ez should be nearly zero on the y-minus boundary.\n",
    "\n",
    "In y-plus, we have a PMC, so Hx and Hz should be nearly zero on the y-plus boundary.\n",
    "\n",
    "Each of these cases is verified below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-02-03T04:33:24.198113Z",
     "iopub.status.busy": "2023-02-03T04:33:24.197997Z",
     "iopub.status.idle": "2023-02-03T04:33:26.391374Z",
     "shell.execute_reply": "2023-02-03T04:33:26.390645Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "
           INFO     Auto meshing using wavelength 1.4142 defined from sources.                     grid_spec.py:510\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Auto meshing using wavelength \u001b[1;36m1.4142\u001b[0m defined from sources.                     \u001b]8;id=823646;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=512593;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py#510\u001b\\\u001b[2m510\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(10, 4))\n",
    "sim_data.plot_field(\n",
    "    field_monitor_name=\"xz_freq\", field_name=\"Ey\", y=0, val=\"abs\", f=f0, ax=ax1\n",
    ")\n",
    "sim_data.plot_field(\n",
    "    field_monitor_name=\"xz_freq\", field_name=\"Ez\", y=0, val=\"abs\", f=f0, ax=ax2\n",
    ")\n",
    "fig.suptitle(\"Notice that both Ey and Ez go to zero on both sides\", fontsize=16)\n",
    "\n",
    "fig, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(10, 4))\n",
    "sim_data.plot_field(\n",
    "    field_monitor_name=\"yz_freq\", field_name=\"Ex\", x=0, val=\"abs\", f=f0, ax=ax1\n",
    ")\n",
    "sim_data.plot_field(\n",
    "    field_monitor_name=\"yz_freq\", field_name=\"Ez\", x=0, val=\"abs\", f=f0, ax=ax2\n",
    ")\n",
    "fig.suptitle(\n",
    "    \"Notice that both Ex and Ez go to zero on the left (PEC) side\", fontsize=16\n",
    ")\n",
    "\n",
    "fig, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(10, 4))\n",
    "sim_data.plot_field(\n",
    "    field_monitor_name=\"yz_freq\", field_name=\"Hx\", x=0, val=\"abs\", f=f0, ax=ax1\n",
    ")\n",
    "sim_data.plot_field(\n",
    "    field_monitor_name=\"yz_freq\", field_name=\"Hz\", x=0, val=\"abs\", f=f0, ax=ax2\n",
    ")\n",
    "fig.suptitle(\n",
    "    \"Notice that both Hx and Hz go to zero on the right (PMC) side\", fontsize=16\n",
    ")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Example 4: Bloch boundary conditions along x and y to allow injecting an angled plane wave source\n",
    "Finally, we'll use the Bloch boundary condition in combination with a plane wave source to demonstrate the injection of an angled plane wave. The Bloch boundaries are used along the x and y dimensions, while PMLs are used along z. The Bloch vectors are automatically computed based on the angles defined in the plane wave source. A dielectric background medium with a relative permittivity of 2 is used.\n",
    "\n",
    "We'll test this set of boundaries by placing an angled plane wave near the lower edge of the domain and observing the plane wave in the frequency domain."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-02-03T04:33:26.395827Z",
     "iopub.status.busy": "2023-02-03T04:33:26.395497Z",
     "iopub.status.idle": "2023-02-03T04:33:26.528229Z",
     "shell.execute_reply": "2023-02-03T04:33:26.526439Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "
[22:33:26] INFO     Auto meshing using wavelength 1.4142 defined from sources.                     grid_spec.py:510\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:33:26]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Auto meshing using wavelength \u001b[1;36m1.4142\u001b[0m defined from sources.                     \u001b]8;id=901001;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=290910;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py#510\u001b\\\u001b[2m510\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       ""
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# First, define the plane wave source, since it is needed to define the Bloch boundary in this case.\n",
    "# Note that in general, the Bloch boundary can also be defined by just providing a bandstructure-normalized Bloch vector.\n",
    "\n",
    "buffer_source = (\n",
    "    domain_size / 10\n",
    ")  # distance between the source and the bottom of the domain\n",
    "plane_wave = td.PlaneWave(\n",
    "    center=(0, 0, -domain_size / 2 + buffer_source),\n",
    "    size=(td.inf, td.inf, 0),\n",
    "    source_time=source_time,\n",
    "    direction=\"+\",\n",
    "    pol_angle=0,\n",
    "    angle_theta=np.pi / 3.0,\n",
    "    angle_phi=np.pi / 6.0,\n",
    ")\n",
    "\n",
    "\n",
    "# create the Bloch boundaries\n",
    "bloch_x = td.Boundary.bloch_from_source(\n",
    "    source=plane_wave, domain_size=sim_size[0], axis=0, medium=medium\n",
    ")\n",
    "bloch_y = td.Boundary.bloch_from_source(\n",
    "    source=plane_wave, domain_size=sim_size[1], axis=1, medium=medium\n",
    ")\n",
    "\n",
    "bspec_bloch = td.BoundarySpec(x=bloch_x, y=bloch_y, z=td.Boundary.pml())\n",
    "\n",
    "\n",
    "# initialize the simulation object with the above boundary spec and source\n",
    "sim = td.Simulation(\n",
    "    size=sim_size,\n",
    "    sources=[plane_wave],\n",
    "    monitors=[monitor_xz_freq, monitor_yz_freq, monitor_xy_freq],\n",
    "    run_time=run_time,\n",
    "    boundary_spec=bspec_bloch,\n",
    "    medium=medium,\n",
    ")\n",
    "\n",
    "# Visualize the geometry\n",
    "fig, ax1 = plt.subplots(figsize=(4, 4))\n",
    "sim.plot(y=0, ax=ax1)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Run Simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-02-03T04:33:26.532466Z",
     "iopub.status.busy": "2023-02-03T04:33:26.532261Z",
     "iopub.status.idle": "2023-02-03T04:33:58.054023Z",
     "shell.execute_reply": "2023-02-03T04:33:58.053480Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "
           INFO     Created task 'bc_example4' with task_id '7e79f4bb-2b49-4f02-9191-896564b7d47c'.   webapi.py:120\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Created task \u001b[32m'bc_example4'\u001b[0m with task_id \u001b[32m'7e79f4bb-2b49-4f02-9191-896564b7d47c'\u001b[0m.   \u001b]8;id=491166;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=684598;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#120\u001b\\\u001b[2m120\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": [
       "\u001b[?25l"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c6e39ede2a254ae0aa2f7946203c4889",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n",
       "\u001b[?25h"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:33:28] INFO     status = queued                                                                   webapi.py:262\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:33:28]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = queued                                                                   \u001b]8;id=542769;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=851971;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#262\u001b\\\u001b[2m262\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": [
       "\u001b[?25l"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1f97c4d58f9f49fab1e705499c2482da",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:33:35] INFO     Maximum FlexUnit cost: 0.052                                                      webapi.py:253\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:33:35]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Maximum FlexUnit cost: \u001b[1;36m0.052\u001b[0m                                                      \u001b]8;id=733625;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=243769;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#253\u001b\\\u001b[2m253\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:33:38] INFO     status = preprocess                                                               webapi.py:274\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:33:38]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = preprocess                                                               \u001b]8;id=605066;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=514508;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#274\u001b\\\u001b[2m274\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n",
       "\u001b[?25h\r",
       "\u001b[1A\u001b[2K"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:33:41] INFO     starting up solver                                                                webapi.py:278\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:33:41]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m starting up solver                                                                \u001b]8;id=739100;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=639661;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#278\u001b\\\u001b[2m278\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:33:50] INFO     running solver                                                                    webapi.py:284\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:33:50]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m running solver                                                                    \u001b]8;id=220956;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=215083;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#284\u001b\\\u001b[2m284\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": [
       "\u001b[?25l"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "236cdb4838de446587d7f467bfddda5a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:33:52] INFO     early shutoff detected, exiting.                                                  webapi.py:295\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:33:52]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m early shutoff detected, exiting.                                                  \u001b]8;id=663643;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=656041;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#295\u001b\\\u001b[2m295\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n",
       "\u001b[?25h"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
           INFO     status = postprocess                                                              webapi.py:301\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = postprocess                                                              \u001b]8;id=407531;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=14605;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#301\u001b\\\u001b[2m301\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": [
       "\u001b[?25l"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9a8fb61f5292446c90cd2bb75cd8404d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:33:55] INFO     status = success                                                                  webapi.py:307\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:33:55]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = success                                                                  \u001b]8;id=648006;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=505141;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#307\u001b\\\u001b[2m307\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n",
       "\u001b[?25h\r",
       "\u001b[1A\u001b[2K"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:33:56] INFO     Billed FlexUnit cost: 0.025                                                       webapi.py:311\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:33:56]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Billed FlexUnit cost: \u001b[1;36m0.025\u001b[0m                                                       \u001b]8;id=400074;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=205794;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#311\u001b\\\u001b[2m311\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
           INFO     downloading file \"output/monitor_data.hdf5\" to \"data/bc_example4.hdf5\"            webapi.py:593\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m downloading file \u001b[32m\"output/monitor_data.hdf5\"\u001b[0m to \u001b[32m\"data/bc_example4.hdf5\"\u001b[0m            \u001b]8;id=390438;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=505398;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#593\u001b\\\u001b[2m593\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": [
       "\u001b[?25l"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3f9e8bbe9d8f4ddcb09638310c253577",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n",
       "\u001b[?25h"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
[22:33:58] INFO     loading SimulationData from data/bc_example4.hdf5                                 webapi.py:415\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m[22:33:58]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m loading SimulationData from data/bc_example4.hdf5                                 \u001b]8;id=944416;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=840229;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#415\u001b\\\u001b[2m415\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data = web.run(sim, task_name=\"bc_example4\", path=\"data/bc_example4.hdf5\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Visualize results\n",
    "In shown in the plots, the plane wave is successfully injected at the specified angles without reflections."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-02-03T04:33:58.656585Z",
     "iopub.status.busy": "2023-02-03T04:33:58.656463Z",
     "iopub.status.idle": "2023-02-03T04:34:02.071463Z",
     "shell.execute_reply": "2023-02-03T04:34:02.070681Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "
           INFO     Auto meshing using wavelength 1.4142 defined from sources.                     grid_spec.py:510\n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Auto meshing using wavelength \u001b[1;36m1.4142\u001b[0m defined from sources.                     \u001b]8;id=310325;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=349612;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py#510\u001b\\\u001b[2m510\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2, ax3) = plt.subplots(1, 3, tight_layout=True, figsize=(13, 4))\n",
    "sim_data.plot_field(\n",
    "    field_monitor_name=\"xz_freq\", field_name=\"Ey\", y=0, val=\"real\", f=f0, ax=ax1\n",
    ")\n",
    "sim_data.plot_field(\n",
    "    field_monitor_name=\"xz_freq\", field_name=\"Ey\", y=0, val=\"real\", f=f0, ax=ax2\n",
    ")\n",
    "sim_data.plot_field(\n",
    "    field_monitor_name=\"xz_freq\", field_name=\"Ez\", y=0, val=\"real\", f=f0, ax=ax3\n",
    ")\n",
    "\n",
    "fig, (ax1, ax2, ax3) = plt.subplots(1, 3, tight_layout=True, figsize=(13, 4))\n",
    "sim_data.plot_field(\n",
    "    field_monitor_name=\"yz_freq\", field_name=\"Ex\", x=0, val=\"real\", f=f0, ax=ax1\n",
    ")\n",
    "sim_data.plot_field(\n",
    "    field_monitor_name=\"yz_freq\", field_name=\"Ey\", x=0, val=\"real\", f=f0, ax=ax2\n",
    ")\n",
    "sim_data.plot_field(\n",
    "    field_monitor_name=\"yz_freq\", field_name=\"Ez\", x=0, val=\"real\", f=f0, ax=ax3\n",
    ")\n",
    "\n",
    "fig, (ax1, ax2, ax3) = plt.subplots(1, 3, tight_layout=True, figsize=(13, 4))\n",
    "sim_data.plot_field(\n",
    "    field_monitor_name=\"xy_freq\", field_name=\"Ex\", z=0, val=\"real\", f=f0, ax=ax1\n",
    ")\n",
    "sim_data.plot_field(\n",
    "    field_monitor_name=\"xy_freq\", field_name=\"Ey\", z=0, val=\"real\", f=f0, ax=ax2\n",
    ")\n",
    "sim_data.plot_field(\n",
    "    field_monitor_name=\"xy_freq\", field_name=\"Ez\", z=0, val=\"real\", f=f0, ax=ax3\n",
    ")\n",
    "fig.suptitle(\"Observe the phi=pi/6 angle w.r.t. the x axis\", fontsize=16)\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Summary\n",
    "\n",
    "* The fastest way to define boundary conditions with periodic and absorbing boundaries on some sides is through `td.BoundarySpec.pml(y=True)` (i.e., for PML along y only), or through `td.BoundarySpec.all_sides(boundary=PML())` to set the same boundary on all sides (in this example, PML on all sides).\n",
    "\n",
    "* To further fine tune the global boundary specifications, use [BoundarySpec(x, y, z)](https://docs.flexcompute.com/projects/tidy3d/en/v1.9.0rc2/_autosummary/tidy3d.BoundarySpec.html), where x, y, z are [Boundary](https://docs.flexcompute.com/projects/tidy3d/en/v1.9.0rc2/_autosummary/tidy3d.Boundary.html) objects.\n",
    "\n",
    "* [Boundary](https://docs.flexcompute.com/projects/tidy3d/en/v1.9.0rc2/_autosummary/tidy3d.Boundary.html) objects have some convenience methods, like `.pml()` for defining the boundaries along an edge with more parameters.\n",
    "\n",
    "* [Boundary](https://docs.flexcompute.com/projects/tidy3d/en/v1.9.0rc2/_autosummary/tidy3d.Boundary.html) objects can be further specified by supplying boundary conditions to the `plus` and `minus` fields.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {
     "0a6282b8fb744d779eb30c987c166b94": {
      "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_3eb1802dbaca407fbf33bc639f98ba39",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "text/html": "
↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 92.2% • 3.9/4.3 MB • 3.6 MB/s • 0:00:01\n↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 92.2% • 3.9/4.3 MB • 3.6 MB/s • 0:00:01
\n",
          "text/plain": "\r\u001b[2K\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m \u001b[35m92.2%\u001b[0m • \u001b[32m3.9/4.3 MB\u001b[0m • \u001b[31m3.6 MB/s\u001b[0m • \u001b[36m0:00:01\u001b[0m\n\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m \u001b[35m92.2%\u001b[0m • \u001b[32m3.9/4.3 MB\u001b[0m • \u001b[31m3.6 MB/s\u001b[0m • \u001b[36m0:00:01\u001b[0m"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "0fa00325d42f496691419abc9fa9fce0": {
      "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_bc43eb51b77e4ed49aa6900d7b0fb658",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "text/html": "
🏃  Starting 'bc_example3'...\n🏃  Starting 'bc_example3'...
\n",
          "text/plain": "\r\u001b[2K\u001b[32m🏃 \u001b[0m \u001b[1;32mStarting 'bc_example3'...\u001b[0m\n\u001b[32m🏃 \u001b[0m \u001b[1;32mStarting 'bc_example3'...\u001b[0m"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "197ff5002fc242ae909ac7da4992887b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "1c69a5d63b9042ba867ec5e85d7c3074": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "1d109de8024a4b84a76498968e749afe": {
      "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_1c69a5d63b9042ba867ec5e85d7c3074",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "text/html": "
↑ simulation.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0% • 0.0/3.0 kB • ? • -:--:--\n↑ simulation.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0% • 0.0/3.0 kB • ? • -:--:--
\n",
          "text/plain": "\r\u001b[2K\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/3.0 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m\n\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/3.0 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "1e91f472e7cb4103bafe38dca0fbd7c1": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "1f97c4d58f9f49fab1e705499c2482da": {
      "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_2dd37f09c48f4ee290cdaf9977b19901",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "text/html": "
🏃  Starting 'bc_example4'...\n🏃  Starting 'bc_example4'...
\n",
          "text/plain": "\r\u001b[2K\u001b[32m🏃 \u001b[0m \u001b[1;32mStarting 'bc_example4'...\u001b[0m\n\u001b[32m🏃 \u001b[0m \u001b[1;32mStarting 'bc_example4'...\u001b[0m"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "236cdb4838de446587d7f467bfddda5a": {
      "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_2e4f5b07e4154a878d969002cbcfaf3a",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "text/html": "
% done (field decay = 2.94e-09) ━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━   8% -:--:--\n% done (field decay = 2.94e-09) ━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━   8% -:--:--
\n",
          "text/plain": "\r\u001b[2K% done (field decay = 2.94e-09) \u001b[38;2;249;38;114m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m  8%\u001b[0m \u001b[36m-:--:--\u001b[0m\n% done (field decay = 2.94e-09) \u001b[38;2;249;38;114m━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m  8%\u001b[0m \u001b[36m-:--:--\u001b[0m"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "2946bc3338014227a509598a547360a1": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "2aaf2cb25b26418eb301d0558085c8f3": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "2dd37f09c48f4ee290cdaf9977b19901": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "2e4f5b07e4154a878d969002cbcfaf3a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "3eb1802dbaca407fbf33bc639f98ba39": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "3f9e8bbe9d8f4ddcb09638310c253577": {
      "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_2aaf2cb25b26418eb301d0558085c8f3",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "text/html": "
↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 92.8% • 2.1/2.3 MB • 3.9 MB/s • 0:00:01\n↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 92.8% • 2.1/2.3 MB • 3.9 MB/s • 0:00:01
\n",
          "text/plain": "\r\u001b[2K\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m \u001b[35m92.8%\u001b[0m • \u001b[32m2.1/2.3 MB\u001b[0m • \u001b[31m3.9 MB/s\u001b[0m • \u001b[36m0:00:01\u001b[0m\n\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━\u001b[0m \u001b[35m92.8%\u001b[0m • \u001b[32m2.1/2.3 MB\u001b[0m • \u001b[31m3.9 MB/s\u001b[0m • \u001b[36m0:00:01\u001b[0m"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "4236c74eb70746cb8a43ec8e278524cb": {
      "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_ca7e920c719d460cbb73fd0ece575ead",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "text/html": "
🚶  Finishing 'bc_example2'...\n🚶  Finishing 'bc_example2'...
\n",
          "text/plain": "\r\u001b[2K\u001b[32m🚶 \u001b[0m \u001b[1;32mFinishing 'bc_example2'...\u001b[0m\n\u001b[32m🚶 \u001b[0m \u001b[1;32mFinishing 'bc_example2'...\u001b[0m"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "441b8d5a81db4e169f2189f4a6f11bd2": {
      "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_5afb2b61adf44487bbb1d2719226c33e",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "text/html": "
% done (field decay = 7.58e-08) ━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━   4% -:--:--\n% done (field decay = 7.58e-08) ━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━   4% -:--:--
\n",
          "text/plain": "\r\u001b[2K% done (field decay = 7.58e-08) \u001b[38;2;249;38;114m━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m  4%\u001b[0m \u001b[36m-:--:--\u001b[0m\n% done (field decay = 7.58e-08) \u001b[38;2;249;38;114m━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m  4%\u001b[0m \u001b[36m-:--:--\u001b[0m"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "58acc44508a14fad8113c0a52d9f919e": {
      "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_c878ed698aa14f55a3edab520ebc0a91",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "text/html": "
🏃  Finishing 'bc_example1'...\n🏃  Finishing 'bc_example1'...
\n",
          "text/plain": "\r\u001b[2K\u001b[32m🏃 \u001b[0m \u001b[1;32mFinishing 'bc_example1'...\u001b[0m\n\u001b[32m🏃 \u001b[0m \u001b[1;32mFinishing 'bc_example1'...\u001b[0m"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "5afb2b61adf44487bbb1d2719226c33e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "6b367ac6ded64bf5a054746b98cfd823": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "78ee5fe3ace94ea8aaebabec9e624268": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "876461c8cfe04248b31ca481b983b5a5": {
      "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_a73f0cd1d6804449b7fc6684e5438d95",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "text/html": "
🏃  Starting 'bc_example2'...\n🏃  Starting 'bc_example2'...
\n",
          "text/plain": "\r\u001b[2K\u001b[32m🏃 \u001b[0m \u001b[1;32mStarting 'bc_example2'...\u001b[0m\n\u001b[32m🏃 \u001b[0m \u001b[1;32mStarting 'bc_example2'...\u001b[0m"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "87799f577b5048d38b19f9e2589c7996": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "8d3ca2838c034bb88561bed0ebf6e482": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "9a8fb61f5292446c90cd2bb75cd8404d": {
      "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_1e91f472e7cb4103bafe38dca0fbd7c1",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "text/html": "
🚶  Finishing 'bc_example4'...\n🚶  Finishing 'bc_example4'...
\n",
          "text/plain": "\r\u001b[2K\u001b[32m🚶 \u001b[0m \u001b[1;32mFinishing 'bc_example4'...\u001b[0m\n\u001b[32m🚶 \u001b[0m \u001b[1;32mFinishing 'bc_example4'...\u001b[0m"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "a68787929f3e417188d93f39613f3e1f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "a73f0cd1d6804449b7fc6684e5438d95": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "b4aa141deb074f4bacbae49ac8de83bb": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "b69e7119b82d499e9549bec6d90e402e": {
      "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_f0ab0d948ec148e68994f965ad679675",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "text/html": "
🚶  Finishing 'bc_example3'...\n🚶  Finishing 'bc_example3'...
\n",
          "text/plain": "\r\u001b[2K\u001b[32m🚶 \u001b[0m \u001b[1;32mFinishing 'bc_example3'...\u001b[0m\n\u001b[32m🚶 \u001b[0m \u001b[1;32mFinishing 'bc_example3'...\u001b[0m"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "b9b8fd21c5914e388e6fb482d8eb3c4c": {
      "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_a68787929f3e417188d93f39613f3e1f",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "text/html": "
↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 65.6% • 0.8/1.2 MB • 1.9 MB/s • 0:00:01\n↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 65.6% • 0.8/1.2 MB • 1.9 MB/s • 0:00:01
\n",
          "text/plain": "\r\u001b[2K\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━\u001b[0m \u001b[35m65.6%\u001b[0m • \u001b[32m0.8/1.2 MB\u001b[0m • \u001b[31m1.9 MB/s\u001b[0m • \u001b[36m0:00:01\u001b[0m\n\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━\u001b[0m \u001b[35m65.6%\u001b[0m • \u001b[32m0.8/1.2 MB\u001b[0m • \u001b[31m1.9 MB/s\u001b[0m • \u001b[36m0:00:01\u001b[0m"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "bc43eb51b77e4ed49aa6900d7b0fb658": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "bf62a892fab34e89bdff5132e860c3a7": {
      "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_87799f577b5048d38b19f9e2589c7996",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "text/html": "
↑ simulation.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0% • 0.0/2.8 kB • ? • -:--:--\n↑ simulation.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0% • 0.0/2.8 kB • ? • -:--:--
\n",
          "text/plain": "\r\u001b[2K\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/2.8 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m\n\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/2.8 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "c406743d77bb4fdeb1c7f235b95042b7": {
      "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_8d3ca2838c034bb88561bed0ebf6e482",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "text/html": "
🚶  Starting 'bc_example1'...\n🚶  Starting 'bc_example1'...
\n",
          "text/plain": "\r\u001b[2K\u001b[32m🚶 \u001b[0m \u001b[1;32mStarting 'bc_example1'...\u001b[0m\n\u001b[32m🚶 \u001b[0m \u001b[1;32mStarting 'bc_example1'...\u001b[0m"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "c63fd0f52e744e15be3b965ace1aac3d": {
      "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_2946bc3338014227a509598a547360a1",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "text/html": "
% done (field decay = 1.06e-05) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00\n% done (field decay = 1.06e-05) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
\n",
          "text/plain": "\r\u001b[2K% done (field decay = 1.06e-05) \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n% done (field decay = 1.06e-05) \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "c6e39ede2a254ae0aa2f7946203c4889": {
      "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_197ff5002fc242ae909ac7da4992887b",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "text/html": "
↑ simulation.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0% • 0.0/3.1 kB • ? • -:--:--\n↑ simulation.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0% • 0.0/3.1 kB • ? • -:--:--
\n",
          "text/plain": "\r\u001b[2K\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/3.1 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m\n\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/3.1 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "c84b5d1d06ef4923b525da5f5ff08843": {
      "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_b4aa141deb074f4bacbae49ac8de83bb",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "text/html": "
↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 85.0% • 3.7/4.3 MB • 5.9 MB/s • 0:00:01\n↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 85.0% • 3.7/4.3 MB • 5.9 MB/s • 0:00:01
\n",
          "text/plain": "\r\u001b[2K\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m \u001b[35m85.0%\u001b[0m • \u001b[32m3.7/4.3 MB\u001b[0m • \u001b[31m5.9 MB/s\u001b[0m • \u001b[36m0:00:01\u001b[0m\n\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m \u001b[35m85.0%\u001b[0m • \u001b[32m3.7/4.3 MB\u001b[0m • \u001b[31m5.9 MB/s\u001b[0m • \u001b[36m0:00:01\u001b[0m"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "c878ed698aa14f55a3edab520ebc0a91": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "ca7995c4f1154272876c48cf538fb15b": {
      "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_6b367ac6ded64bf5a054746b98cfd823",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "text/html": "
↑ simulation.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0% • 0.0/3.0 kB • ? • -:--:--\n↑ simulation.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0% • 0.0/3.0 kB • ? • -:--:--
\n",
          "text/plain": "\r\u001b[2K\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/3.0 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m\n\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/3.0 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "ca7e920c719d460cbb73fd0ece575ead": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "e04bf97e2c8540de9edf0a14d831e5bf": {
      "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_78ee5fe3ace94ea8aaebabec9e624268",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "text/html": "
% done (field decay = 6.61e-08) ━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━   4% -:--:--\n% done (field decay = 6.61e-08) ━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━   4% -:--:--
\n",
          "text/plain": "\r\u001b[2K% done (field decay = 6.61e-08) \u001b[38;2;249;38;114m━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m  4%\u001b[0m \u001b[36m-:--:--\u001b[0m\n% done (field decay = 6.61e-08) \u001b[38;2;249;38;114m━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m  4%\u001b[0m \u001b[36m-:--:--\u001b[0m"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "tabbable": null,
       "tooltip": null
      }
     },
     "f0ab0d948ec148e68994f965ad679675": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "2.0.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "2.0.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border_bottom": null,
       "border_left": null,
       "border_right": null,
       "border_top": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     }
    },
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}