{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Performing parallel / batch processing of simulations\n",
        "\n",
        "<img src=\"img/splitter.png\" alt=\"diagram\" width=\"400\"/>\n",
        "\n",
        "Note: the cost of running the entire notebook is larger than 1\n",
        "FlexCredit.\n",
        "\n",
        "In this notebook, we will show an example of using tidy3d to evaluate\n",
        "device performance over a set of many design parameters.\n",
        "\n",
        "This example will also provide a walkthrough of Tidy3D’s\n",
        "[Job](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.web.Job.html#tidy3d.web.Job)\n",
        "and\n",
        "[Batch](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.web.Batch.html#tidy3d.web.Batch)\n",
        "features for managing both individual simulations and sets of\n",
        "simulations.\n",
        "\n",
        "> Note: as of version `2.10`, the\n",
        "> [tidy3d.web.run](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.web.run.html#tidy3d.web.run)\n",
        "> unifies the submission of a single simulation as well as any nested\n",
        "> combination of lists, tuples, and dictionaries of them, handling the\n",
        "> same functionality as the batch, with a simpler syntax. As such, it\n",
        "> could be a good alternative for parameter scan depending on how your\n",
        "> script is set up.\n",
        "\n",
        "Additionally, we will show how to do this problem using\n",
        "`tidy3d.plugins.design`, which provides convenience methods for defining\n",
        "and running parameter scans, which has a full tutorial\n",
        "[here](https://www.flexcompute.com/tidy3d/examples/notebooks/Design/).\n",
        "\n",
        "For demonstration, we look at the splitting ratio of a directional\n",
        "coupler as we vary the coupling length between two waveguides. The\n",
        "sidewall of the waveguides is slanted, deviating from the vertical\n",
        "direction by `sidewall_angle`."
      ],
      "id": "9881f4c2-bc70-4f23-b19e-3a74b3d0eadd"
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {},
      "outputs": [],
      "source": [
        "# standard python imports\n",
        "import os\n",
        "\n",
        "import gdstk\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "# tidy3D imports\n",
        "import tidy3d as td\n",
        "from tidy3d import web\n",
        "\n",
        "td.config.logging.level = \"ERROR\""
      ],
      "id": "d57e98d8"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Setup\n",
        "\n",
        "First we set up some global parameters"
      ],
      "id": "42232608-e018-4d59-9a2f-863722efe7df"
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {},
      "outputs": [],
      "source": [
        "# wavelength / frequency\n",
        "lambda0 = 1.550  # all length scales in microns\n",
        "freq0 = td.constants.C_0 / lambda0\n",
        "fwidth = freq0 / 10\n",
        "\n",
        "# Permittivity of waveguide and substrate\n",
        "wg_n = 3.48\n",
        "sub_n = 1.45\n",
        "mat_wg = td.Medium(permittivity=wg_n**2)\n",
        "mat_sub = td.Medium(permittivity=sub_n**2)\n",
        "\n",
        "# Waveguide dimensions\n",
        "\n",
        "# Waveguide height\n",
        "wg_height = 0.22\n",
        "# Waveguide width\n",
        "wg_width = 0.45\n",
        "# Waveguide separation in the beginning/end\n",
        "wg_spacing_in = 8\n",
        "# Reference plane where the cross section of the device is defined\n",
        "reference_plane = \"bottom\"\n",
        "# Angle of the sidewall deviating from the vertical ones, positive values for the base larger than the top\n",
        "sidewall_angle = np.pi / 6\n",
        "# Total device length along propagation direction\n",
        "device_length = 100\n",
        "# Length of the bend region\n",
        "bend_length = 16\n",
        "# space between waveguide and PML\n",
        "pml_spacing = 1\n",
        "# resolution control: minimum number of grid cells per wavelength in each material\n",
        "grid_cells_per_wvl = 16"
      ],
      "id": "e67f4336"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Define waveguide bends and coupler\n",
        "\n",
        "Here is where we define our directional coupler shape programmatically\n",
        "in terms of the geometric parameters"
      ],
      "id": "4819a2b0-f69e-47d8-8854-cf13f9d9a6f2"
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {},
      "outputs": [],
      "source": [
        "def tanh_interp(max_arg):\n",
        "    \"\"\"Interpolator for tanh with adjustable extension\"\"\"\n",
        "    scale = 1 / np.tanh(max_arg)\n",
        "    return lambda u: 0.5 * (1 + scale * np.tanh(max_arg * (u * 2 - 1)))\n",
        "\n",
        "\n",
        "def make_coupler(\n",
        "    length,\n",
        "    wg_spacing_in,\n",
        "    wg_width,\n",
        "    wg_spacing_coup,\n",
        "    coup_length,\n",
        "    bend_length,\n",
        "):\n",
        "    \"\"\"Make an integrated coupler using the gdstk RobustPath object.\"\"\"\n",
        "    # bend interpolator\n",
        "    interp = tanh_interp(3)\n",
        "    delta = wg_width + wg_spacing_coup - wg_spacing_in\n",
        "    offset = lambda u: wg_spacing_in + interp(u) * delta\n",
        "\n",
        "    coup = gdstk.RobustPath(\n",
        "        (-0.5 * length, 0),\n",
        "        (wg_width, wg_width),\n",
        "        wg_spacing_in,\n",
        "        simple_path=True,\n",
        "        layer=1,\n",
        "        datatype=[0, 1],\n",
        "    )\n",
        "    coup.segment((-0.5 * coup_length - bend_length, 0))\n",
        "    coup.segment(\n",
        "        (-0.5 * coup_length, 0),\n",
        "        offset=[lambda u: -0.5 * offset(u), lambda u: 0.5 * offset(u)],\n",
        "    )\n",
        "    coup.segment((0.5 * coup_length, 0))\n",
        "    coup.segment(\n",
        "        (0.5 * coup_length + bend_length, 0),\n",
        "        offset=[lambda u: -0.5 * offset(1 - u), lambda u: 0.5 * offset(1 - u)],\n",
        "    )\n",
        "    coup.segment((0.5 * length, 0))\n",
        "    return coup"
      ],
      "id": "e0acb94e"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Create Simulation and Submit Job\n",
        "\n",
        "The following function creates a tidy3d simulation object for a set of\n",
        "design parameters.\n",
        "\n",
        "Note that the simulation has not been run yet, just created."
      ],
      "id": "c47b03e1-cd0d-48b6-b4aa-a017716da0ab"
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {},
      "outputs": [],
      "source": [
        "def make_sim(coup_length, wg_spacing_coup, domain_field=False):\n",
        "    \"\"\"Make a simulation with a given length of the coupling region and\n",
        "    distance between the waveguides in that region. If ``domain_field``\n",
        "    is True, a 2D in-plane field monitor will be added.\n",
        "    \"\"\"\n",
        "\n",
        "    # Geometry must be placed in GDS cells to import into Tidy3D\n",
        "    coup_cell = gdstk.Cell(\"Coupler\")\n",
        "\n",
        "    substrate = gdstk.rectangle(\n",
        "        (-device_length / 2, -wg_spacing_in / 2 - 10),\n",
        "        (device_length / 2, wg_spacing_in / 2 + 10),\n",
        "        layer=0,\n",
        "    )\n",
        "    coup_cell.add(substrate)\n",
        "\n",
        "    # Add the coupler to a gdstk cell\n",
        "    gds_coup = make_coupler(\n",
        "        device_length,\n",
        "        wg_spacing_in,\n",
        "        wg_width,\n",
        "        wg_spacing_coup,\n",
        "        coup_length,\n",
        "        bend_length,\n",
        "    )\n",
        "    coup_cell.add(gds_coup)\n",
        "\n",
        "    # Substrate\n",
        "    (oxide_geo,) = td.PolySlab.from_gds(\n",
        "        gds_cell=coup_cell,\n",
        "        gds_layer=0,\n",
        "        gds_dtype=0,\n",
        "        slab_bounds=(-10, 0),\n",
        "        reference_plane=reference_plane,\n",
        "        axis=2,\n",
        "    )\n",
        "\n",
        "    oxide = td.Structure(geometry=oxide_geo, medium=mat_sub)\n",
        "\n",
        "    # Waveguides (import all datatypes if gds_dtype not specified)\n",
        "    coupler1_geo, coupler2_geo = td.PolySlab.from_gds(\n",
        "        gds_cell=coup_cell,\n",
        "        gds_layer=1,\n",
        "        slab_bounds=(0, wg_height),\n",
        "        sidewall_angle=sidewall_angle,\n",
        "        reference_plane=reference_plane,\n",
        "        axis=2,\n",
        "    )\n",
        "\n",
        "    coupler1 = td.Structure(geometry=coupler1_geo, medium=mat_wg)\n",
        "\n",
        "    coupler2 = td.Structure(geometry=coupler2_geo, medium=mat_wg)\n",
        "\n",
        "    # Simulation size along propagation direction\n",
        "    sim_length = 2 + 2 * bend_length + coup_length\n",
        "\n",
        "    # Spacing between waveguides and PML\n",
        "    sim_size = [\n",
        "        sim_length,\n",
        "        wg_spacing_in + wg_width + 2 * pml_spacing,\n",
        "        wg_height + 2 * pml_spacing,\n",
        "    ]\n",
        "\n",
        "    # source\n",
        "    src_pos = -sim_length / 2 + 0.5\n",
        "    msource = td.ModeSource(\n",
        "        center=[src_pos, wg_spacing_in / 2, wg_height / 2],\n",
        "        size=[0, 3, 2],\n",
        "        source_time=td.GaussianPulse(freq0=freq0, fwidth=fwidth),\n",
        "        direction=\"+\",\n",
        "        mode_spec=td.ModeSpec(),\n",
        "        mode_index=0,\n",
        "    )\n",
        "\n",
        "    mon_in = td.ModeMonitor(\n",
        "        center=[(src_pos + 0.5), wg_spacing_in / 2, wg_height / 2],\n",
        "        size=[0, 3, 2],\n",
        "        freqs=[freq0],\n",
        "        mode_spec=td.ModeSpec(),\n",
        "        name=\"in\",\n",
        "    )\n",
        "    mon_ref_bot = td.ModeMonitor(\n",
        "        center=[(src_pos + 0.5), -wg_spacing_in / 2, wg_height / 2],\n",
        "        size=[0, 3, 2],\n",
        "        freqs=[freq0],\n",
        "        mode_spec=td.ModeSpec(),\n",
        "        name=\"reflect_bottom\",\n",
        "    )\n",
        "    mon_top = td.ModeMonitor(\n",
        "        center=[-(src_pos + 0.5), wg_spacing_in / 2, wg_height / 2],\n",
        "        size=[0, 3, 2],\n",
        "        freqs=[freq0],\n",
        "        mode_spec=td.ModeSpec(),\n",
        "        name=\"top\",\n",
        "    )\n",
        "    mon_bot = td.ModeMonitor(\n",
        "        center=[-(src_pos + 0.5), -wg_spacing_in / 2, wg_height / 2],\n",
        "        size=[0, 3, 2],\n",
        "        freqs=[freq0],\n",
        "        mode_spec=td.ModeSpec(),\n",
        "        name=\"bottom\",\n",
        "    )\n",
        "    monitors = [mon_in, mon_ref_bot, mon_top, mon_bot]\n",
        "\n",
        "    if domain_field:\n",
        "        domain_monitor = td.FieldMonitor(\n",
        "            center=[0, 0, wg_height / 2],\n",
        "            size=[td.inf, td.inf, 0],\n",
        "            freqs=[freq0],\n",
        "            name=\"field\",\n",
        "        )\n",
        "        monitors.append(domain_monitor)\n",
        "\n",
        "    # initialize the simulation\n",
        "    sim = td.Simulation(\n",
        "        size=sim_size,\n",
        "        grid_spec=td.GridSpec.auto(min_steps_per_wvl=grid_cells_per_wvl),\n",
        "        structures=[oxide, coupler1, coupler2],\n",
        "        sources=[msource],\n",
        "        monitors=monitors,\n",
        "        run_time=50 / fwidth,\n",
        "        boundary_spec=td.BoundarySpec.all_sides(boundary=td.PML()),\n",
        "    )\n",
        "\n",
        "    return sim"
      ],
      "id": "d66eee80"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Inspect Simulation\n",
        "\n",
        "Let’s create and inspect a single simulation to make sure it was defined\n",
        "correctly before doing the full scan. The sidewalls of the waveguides\n",
        "deviate from the vertical direction by 30 degrees. We also add an\n",
        "in-plane field monitor to have a look at the field evolution in this one\n",
        "simulation. We will not use such a monitor in the batch to avoid storing\n",
        "unnecessarily large amounts of data."
      ],
      "id": "ccc10949-480a-4400-9a78-2680796784c3"
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Length of the coupling region\n",
        "coup_length = 10\n",
        "\n",
        "# Waveguide separation in the coupling region\n",
        "wg_spacing_coup = 0.10\n",
        "\n",
        "sim = make_sim(coup_length, wg_spacing_coup, domain_field=True)"
      ],
      "id": "e29e536a"
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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BRO/iQ2G94JRfjKSvFOKsEzrhD3mHwcfk/y5xoCjMKxGOddjbX0cti9BevdV7EaDkMskgjyB9sS\nK1S6u1dxcbh6WcVlmDJN7ArTi4iIiIiIiIgMCwq2SFI4bAZxM46fKBhO2rpXbomYFrHYENjbHgCL\n9lCA1mAngUgIh91BQVYOed4snHYH502aysTGA2QF2hLLb4cC0NWZWLLa6Yacwp4Lu8bsxRhzl2Hk\nFmb6h0oLwzBw5mbhzM0ia+bEns/joTDBqjqCB2oJVdYRrKwj2tJxyvNFmtqpe2oDdU9twDd1LAVL\ny8k7ayZ238j8YkFEREREjhdpbqdl4w5aXq8gXJ+8QDUGuMcU4CsrwTe5FG9ZCd4JxcNuBZZkMFwe\nmHs2lC/FqK/C2rYea8+bEM19bxWX1npwOBOruFgjYCsfMw5mDEwTG65MVyMiIiIiIiIiIv0w+q7c\nSUqEYya4bWBZ+M0uwE4biRBCNJr8LWwGI2bGOdzaSJbbw8T8MWS5vRRk5XLl/OV8+MzllMYimH/+\nQeLOxK5OMGyJ5be9frA7McZOwZi3DKaenljGW7B73WTPmkT2rEk9n0XbAgQrawnur6VjeyWhqrpT\nmiO4r4bgvhoOP/giuWdMI39pOdmzyzDsJ1kWXURERESGrXhXhLa39tCyoYLOXQchCTkKw2HHP20c\nWbMn4Z88Fu+kMdi97lMfeAQxDANKyjBKyrCWrcbauRFr23pobYBYOBFw6ewOF9l9mS32VFhWYlUa\nmw0cTqJdIyCoIyIiIiIiIiIyCijYIklRGwhT6s8Bww2Wid+MAXHqh8hfMbtho9CfS74vG6fDwcKy\n2Vy9YAXnzzwTpyNRo9VYnWjsdIEvBzw+cHkwZi3EmHsORuG4DP4Ew4cz10/u6dPIPX0aY1cvI9oR\npLOikvaKA3RsryTeGRrUuFYsTusbu2h9YxeOXD/FHziTwuWn60sJERERkREg0txOw3Nv0rx+G2b4\n1IPxrqJcsudOJqd8Mv4ZE7B7tDJHfxkeH8YZ52OdvgIO7cZ6dz3W/ncgK5rYpsgcpmEQwwCbA+wO\nwMBye2lpbc50VSIiIiIiIiIi0g9DI3Ugw15bOEaJNxvyc6GjGYLt+E0Lly3zK5ucOWkm7xzeR5bb\ny6ozlnH1WSuYXDT2+IZ5xeDLAsAoGpdYnWXGWYnluWXQnNk+8pfMIX/JHCzTInSwjo7uoEtwX82g\nljOPtQWoeWwddX/fSNGKMyj6wJk4c/wpqF5EREREUqmrpon6ZzbTsnEHmOagxzGcDrJmTiRn7mSy\nyyfjHpOXvCJHKcMwYOJMjIkzsQJtWBWvY1W8Bp1tGGOnZrq8gXG6IRoDlwey8iA7n7hl0HWwIdOV\niYiIiIiIiIhIPyjYIklleHzg8WHFE/uWO5tbcTozG265/YNXc9lpS5mQX4zHefLVPQyHE9sNX0nc\nhZhbnLiQK0ll2Ax8ZaX4ykopuXQJsWAXnTuqaN28k/Z39mHFB/ZlhtkVoX7tJhqee5OCs+dSfNEC\n3EV5qSleRERERJImsL+G+rWbaH9776DHsHnd5C2YSd6ZM/BPH4/NqdPbVDH8uRiLLsZacCG01EFu\ncaZLGhDDnwuGA0pKMWzdW5pGIpktSkRERERERERE+k1X/iQlDLsd7HYAHI7M/jUzDIPpYyb0r63H\nDx6t/JEuDp+HvLNmknfWTGKdIVrf2EXLhgqCB2oHNI4Vi9P0yts0rXuHvAUzGbNyEd4Jw+tiu4iI\niMhIZ1kWHRWV1D+9icDuQ4MbxGaQPWcyBUvnkHP6NIVZ0syw2WE4btFqGGCzvxdqERERERERERGR\nYUVXAUVkSHBkeRPbCq04g66aJlo2bKdl43airZ39H8SyaN28k9bNO8meO5kxKxfhnz5eq++IiIiI\nZJAVN2ndspv6pzfRdWhwW794xhdRsLScvIWzceYqiC4iIiIiIiIiIjKaKNgiIkOOZ2whY688l9IP\nnUPnroO0vF5B21t7MCOxfo/R8e4BOt49gH/aOMZedR7+KWNTWLGIiIiIvJ9lWbRt2U3N468SaWgd\ncH9Hlpe8xbMpWFKOd+KY5BcoIiIiIiIiIiIiw4KCLSIyZBk2G9mzy8ieXUa8K0LLhu00PLuZSFN7\nv8cI7K1mzw8eIG/RbMauPhdXQXYKKxYRERERgGBlLdUPv0Rgb/WA+/oml1J80UJyT5+a2OJURERE\nRERERERERjUFW0RkWLB7XBStOIPCc0+j9c1d1K/dRFd1Y7/7t27aQdtbuxlz4UKKL1qI3eNKYbUi\nIiIio1O0tZOax9fRsmH7gPtml5cltpKcMUFbSYqIiIiIiIiIiEgPBVtEZFgx7DbyF80mb+EsOt49\nQP3TmwjsOdyvvlY0Tt1TG2hav42xH1pG/pJyDJu+NBERERE5VfFwlIZnN9PwzOYBbR+JYZB31gyK\nVy7Cp+2GRERERERERERE5AQUbBGRYckwDHLmTSFn3hQCew9T//Rm2t/Z16++sbYAB+95msYX32Lc\nNSvImjEhxdWKiIiIjEyWadGyaTu1j79KtLWz3/0Mh52CpeUUX7gQ95i81BUoIiIiIiIiIiIiw56C\nLSIy7PmnjWfKZ8cTqm6k4enNtGzeAabVZ7/QwXr2/s9D5M6fztgPL8ddnJf6YkVERERGiMDewxx+\n6CVCVXX97mPzuCg873SKP3AmztysFFYnIiIiIiIiIiIiI4WCLZJysdgAliIXOQXecUVM+vgllFy+\nlJrHXqFty55+9Wt7aw/t2/ZTfMECSi5bgs2p/2sUEREROZlYR5DDD71I6+ad/e5j2G0UnT+fMZcu\nweHzpLA6ERERERERERERGWn07a2klEItkgnu4jwmf2oVnbsPUf3wS4QO1vfZx4rFqV+7kfa39zLx\nlovxTSpJQ6UiIiIiw0vrlt0c/tNzxDpD/e6Tc8Y0xn14Oe4x+SmsTEREREREREREREYqBVskZQKB\nAOFwGIdDf80kM7JmTGDGlz9Ky4YKap54lVhboM8+XTVN7P7vPzHm4sWUXLoEm8OehkpFREREhrZY\nZ4jDf36e1jd29buPZ0Ix469eQdasiSmsTEREREREREREREY6JQ4kJQKBAK2trZkuQwTDZlBw9lxy\nz5xBwzObqX92M1Y03nsn06L+qQ2J1VtuvhjfxDHpKVZERERkCGp7aw+H/vQcsY5gv9o7cnyUrlpG\nwdnlGDZbiqsTERERERERERGRkU7BFkm694danE5n5ooR6Wb3uChddQ4Fy06j5vF1tG7a0WefrsON\n7P6vP1Fy6WJKLlmMYdfqLSIiIjJ6xAJdHH7whX793gRgOOwUX7CAMRcvwu5xpbg6ERERERERERER\nGS0UbJGken+oxe12aysiGVJcBdmU3XopRefPp/rhlwjur+m9g2lSt+Z12rbuZdLNF+OdUJyeQkVE\nREQyqO3tvRy6/1li7f1bpSVvwUzGXnkursLcFFcmIiIiIiIiIiIio40SB5I0sVjsmFBLXl4enZ2d\nmStIpBf+KWOZfsf1NL3yNjWPvoIZjvbavutQA7v/635KLl3CmIsXafUWERERGZFiwS6qH3yRlo3b\n+9XemZ/NxI9dRPacshRXJiIyskUiER5//HGeeuopDh06hMfjYdasWdxwww2cddZZpzz+Rz7yEQ4d\nOtRnu1WrVvHlL385o7WKiIiIiIiIvJ+CLZIUdrudSCSCx+MBEqEWv9+vYIsMaYZhUHTeGWSXT+bQ\nvc/Quetgr+2tuEntk6/RtnUvE2+5GO+4ojRVKiIiIpJ67e/s4+D9zxJrC/SrfcGyeYy76jzsXneK\nKxMRGdl27tzJddddx9tvv33M53/961+58847ue222/jpT396Sivibt68mb179/bZbvbs2RmvVURE\nREREROT9dJYpSeF0OnteHwm1iAwX7qJcpn7uappe2ZpYvSUS67V96GA9u//zfkouW8qYixZi2G1p\nqlREREQk+eLBLg7/5WVaXnu3X+2deVlM+NhF5JRPTm1hIiKjQF1dHStXrqSqqgqv18sXvvAFli9f\nTkdHB3/4wx9Ys2YNv/rVr4jFYvz2t7895flWr17NHXfccdLjpaWlQ6ZWERERERERkSMUbJGkUqhF\nhivDZlC0Yj7Z5ZM5eM/TBPYc7rW9FYtT+8SrtG3dw6SbL8YztjBNlYqIiIgkT/u7Bzh03zNEW/u3\n0mL+2XMZf/V52H2eFFcmIjI6fPWrX6Wqqgq73c5TTz3FihUreo5dc801fOYzn+FXv/oVv/vd7/jY\nxz7G+eeff0rzlZaWcu655w6LWkVERERERESOULBFksblcg041HJV0VX9azj904OoSGTg3MV5TPv8\ntTS+9BY1j63DivaxektlHbv+4z5Krzib4gsXYNi0eouIiIgMffFQmOpHXqb51W39au/I9TPxxovI\nmTclxZXJqKNzPRnFamtr+eMf/wjAzTfffExQ5Igf/vCH/PnPf6a1tZX/+I//yFhYZDjVKiIiIiIi\nIiOPvoGVpIhGo9o/WUYMw2ZQ/IEzmfVvH8M3bVyf7a1YnJrH1rHnhw/SVduchgpFREREBq9jeyU7\nv3tPv0Mt+UvmMOvrNyvUIiKSZI899hjxeByAj3/84yds4/f7ueaaawB44YUXaGlpSVd5xxhOtYqI\niIiIiMjIo2CLJMWRixsiI4l7TD7T//laxl19HobT3mf74P4adn3/XuqffQPLNNNQoYiIiEj/xbsi\nHLr/Wfb93yNEWzr6bO/I8TH5Mx9i0i2X4NDWQyIiSbdu3TogsQLukiVLTtruvPPOAxI3FW3cuDEt\ntb3fcKpVRERERERERh4tsSEi0gvDZqP4ggVkz5vCwbufJri/ptf2VixOzSMv0/bWbibddDHukvw0\nVSoiIiJych07qzh4zzNEm9v71T5v0WzGX3s+jixviisTERm9tm/fDkBZWRlut/uk7WbOnNnzuqKi\ngosvvnjQc7799tt86lOf4sCBA9hsNkpLSzn77LO59tprKSwsHFK1ioiIiIiIiByhYIuISD94SgqY\n/sXraHjuTWr/uh4r1vsqRcF9Nez8/j2MXX0uReefiWEz0lSpiIiIyHviXRFqHl9H00tb+9Xeke1j\nwg0XkDt/eoorExGR6upqAMaN630L3KOP19T0frNFX1577TVee+21Yz67++67+cIXvsA3vvENvvzl\nL2MYx5+/pqPW3rYuam1tHdBYIiIiIiIiMrIo2CIi0k+GzcaYixaSM28KVXevJVRZ12t7Kxqn+uGX\naHtrDxM/thL3mLz0FCoiIiICdO46xMF71hJp6ucqLQtmMv76D2qVFhGRNOns7ATA7/f32s7n8x3X\nZ6CcTicXX3wx559/PmVlZZSUlNDc3MxLL73EH//4Rzo6OvjXf/1XDh8+zP/93/9lpNaCgoIBtRcR\nEREREZHRQ8EWEZEB8owtZMYdH6H+2c3UrXm9z9VbAnsOs+v791C6+lyKVszX6i0iIiKSUvFwlNrH\n19H44lv9am/P8jLhIx8k76yZfTcWEZGkiUajANjt9l7bORzvXb470meg1q9fT37+8VvlXnPNNdxx\nxx1ccskl7Nixg5/+9KesXr2aCy+8MGO1ioiIiIiIiLyfgi0iIoNg2G2UXLyYnNOmcvDutYSq6ntt\nb0ZiVD/0YmL1lpsuwl2Ul55CRUREZFTp3HOIg/c8TaShrV/tc8+czviPXIAz29d3YxERSSq/3084\nHKarq6vXdqFQ6Jg+g3GiUMsRZWVlPPzww5x++umYpsn//d//HRdsSUetzc3NJz3W2trK1KlTBzSe\niIiIiIiIjBwKtoiInALvuCJmfOkj1D+9mbq/vY4VN3ttH9h9iF3fu5exH15O4bmna/UWERERSQoz\nEqXmiVdpfGELWH23t/s9jL/+g+QtmIlh6PcREZFMyMvLo7m5mZaWll7bHX08Ly8vJbXMnTuXJUuW\n8Nprr/HKK68cdzwdtfYWvhEREREREZHRzZbpAkREhjvDbqfk0iXM+PJH8Uwo7rO9GY5y+IHn2fd/\nfyHS1L+7qUVEREROJrC3mp3fv5fG5/sXask5YxqzvnYz+QtnKdQiIpJBM2bMAODAgQO9tqusrDyu\nTypMmzYNSIRT3r+N0FCrVUREREREREaXtK7Y0tTUxJtvvkl9fT0NDQ10dXVRXFxMcXExM2bMYM6c\nOeksR0QkqbwTipn55Ruo+/tG6p7aCGbvq7d07jzIzu/ew7irzqPg3NP0xZKIiIgMiBmJUfvkehqe\ne6N/q7T43Iy/7gPkLZqt3ztERIaAM844g7Vr19LY2EhlZSVlZWUnbLdp06Zj+qRKZ2cnAE6nE6fT\nOaRrFRERERERkdEl5cGWLVu2cPfdd/P888/zzjvvYFknv+JaXFzMihUrWL16Nddeey1utzvV5YmI\nJJVht1N6+dnknD6Ng39cS1d1Y6/tzXCUQ396jtYtu5n4sYtwFeSkqVIREREZzgL7azh491rCdb1v\nCXFEzmlTmfDRC3DmZqW4MpHh4/1f3MvI0dDQwJYtW3purIpEIj03Vs2cOZNZs2ZlukQArrjiCv77\nv/8bgL/+9a/84z/+4wnbPfnkkwCUlZUxb968lNQSiUR49dVXAZg5c+aQrlVERERERERGn5QEW+Lx\nOPfffz8/+9nP2LBhQ7/7NTQ08PDDD/Pwww/zz//8z9x666187nOfY8KECakoU0QkZXwTxzDjKx+l\n/qkN1K3dCGbvt1F37qhKrN5y9QoKzpmru6hFRETkhMxojNo1r9HwzBvQy00DR9i9bsZdez75S+bo\n9wuRo4RCId1MM8Js3LiRe+65hxdeeIGKiopeb6wqLS1lxYoVfPjDH+aqq67KWMhp2bJlzJw5k127\ndvHjH/+YT37yk3i93mPaPPfcc2zcuBGAW2+9NWW1fO9736OhoQGAq6++ekjXKiIiIiIiIqOPYfV2\npj8Ia9eu5Ytf/CLvvvtuz2cTJkzg7LPPZunSpcybN4+CggIKCwtxu900NTXR3NxMVVUVr7/+Oq+/\n/jpvv/02sVgMAK/Xyx133MGXv/xl/H5/MkuVJGhpaaGgoIDbbruNmTNnMnbs2GOO19XV4fV6mTBh\nApdffnmGqhTJrGBVXWL1lpqmfrXPLp/MhBsvxJWfneLKREREZDgJHqil6p61hGua+9U+e+4UJt54\nIc48rdIio9eaNWs4dOgQoVCIkpISAAKBAM3NzbS3t/O9732P5uZm8vPzM1ypDEY0GuWee+7hZz/7\nGW+++eagxigpKeGTn/wkt99+O6WlpUmusG+PP/44V155JZBYFeWuu+6iqKgIgFdeeYVrr72Wuro6\nxo0bx44dO8jOPv488dprr6WmpobCwkIef/zx447feeed5OTksGrVquOu21RXV/O9732Pn//850Di\nGt62bdvIzc1NSa2DdeT6E6D/ZkVERERERPppJJ1LJTXY8slPfpLf//73AIwZM4aPfOQj3HTTTSxc\nuHBA4zQ2NvLAAw9wzz339NzpMW7cONavX3/SPXwlMxRsEekfMxqj7m8bqH96U7/urrZ53Yy/ZgX5\nS8t1d7WIiMgo1/N7xDOb+lwFDsDmcTH+2vP1e4QIiWDLgQMHiEajlJSUEAgEaG1txTRNBVuGub/+\n9a/ccccd7Nq1q+ezsrIyli5dytKlS5k7d27PjVVOp5Pm5maampqorKzsubHqnXfeIR6PA5CVlcVX\nvvIVvvjFL+LxeNL6s3zzm9/kO9/5DgAej4fZs2fT0dHB3r17AcjJyeH5559nwYIFJ+w/efJkKisr\nKSkpoba29rjjV155ZU/gJTs7m9LSUgoKCmhqamLv3r09q9tMmTKFJ598kvLy8pTVOlgj6WKsiIiI\niIhIuoykc6mkBlsWLlxIQ0MD//Zv/8att96alKVct2zZwje+8Q2efPJJNm3aNOCQjKSWgi0iAxM8\nUEvV3WsJ1/bzTut5U5j4Ud1pLSIiMloFq+o4ePdauqq18pvIYKxZs4bdu3cTi8XIy8ujtbUVANM0\naWho4M477xz2F3ZGo+uvv54HH3wQgLFjx3LDDTdw0003MX/+/AGNU1dXx/3338+9997bs+LLpEmT\n2LhxY88KP+ny2GOP8Z3vfIctW7b0fOZ2u/nQhz7ED37wg15v9Oor2LJ+/XoeeOAB/v73v7N79+5j\njhmGwaxZs7j55pu5/fbbycrq+9zzVGodrJF0MVZERERERCRdRtK5VFKDLU899RQXXHABLpcrWUP2\n2LRpE+PHj2fcuHFJH1sGT8EWkYEzozFq17xGwzNv9Gv1FrvXzbjrzid/8RzddS0iIjJKmLE49U9t\noG7txn6v0jLu6hUUnDNXvy+IHOVIsCUQCOB2u3s+z8rKYseOHfzv//7vsL+wMxrNnj2bWCzG1772\nNW666Sbsdvspj7lhwwa+8Y1v8PTTT7N9+3Zmz56dhEoHrq6ujsOHD+N2u5k8eXK/tuXevHkzXV1d\nuFwuFi9e3GvbYDBITU0NjY2N+Hw+Jk6cSF5eXtpqHayRdDFWREREREQkXUbSuZQjmYNdeumlyRzu\nGIsWLUrZ2CIi6WRzOhh35XJyz5jOwbvXEq5r6bV9PBTm4B/X0rZlNxNuuBBnbuouFoqIiEjmhQ7W\nU3X3WroON/arfdbsSUz82EW4CnJSXJnIyJCXl5eUFWYlc374wx9y8cUX43Ak77LWkiVLWLt2La++\n+ipFRUVJG3egSkpKBrxazEBWN/b5fEybNo1p06YNtLTjDKZWERERERERkcFIarBFRET6zz9lLDP/\n9WPUPrmehufegD5uxm5/ex87997N+GvPJ2/RbN2NLSIiMsKY0Rj1T2+i7qmNYJp9tre5nYy7+jwK\nlp2m3wtEZFRJ5Yqwy5YtS9nYIiIiIiIiIjI4CraIiGSQzeVg3FXnkXvGdKruWUukvrXX9vFAF1V/\n+DtN695h3DUr8E3S3XEiIiLDnWVZtG/dS/WjLxNpaOtXn6xZExOrtBTmprg6kZGntbWVrKysTJch\nIiIiIiIiIiL9lJFgS2NjI3v37qW9vZ14PN5r23POOYecHC2pLSIjm3/aOGZ99WPUPLGexhfe7HP1\nlsCew+z+z/vJX1rO2A8tw5mnC/MiIiLDUfBgPdUPv0Rg96F+tbe5nYz98HIKzz0dw6ZVWkT6y+12\nk5eXR2trKwDt7e3ajkhEREREREREZJhIW7DFNE1+97vf8ZOf/IRt27b1u9+mTZsGtFewiMhwZXM5\nGX/NCnLnT+PgPU/3647tltcraHtzF8UrFzHmwgXYXLo4LyIiMhxE2zqpeWI9La+/22eg9Qj/jAlM\nvGkl7iKt0iIyEEcCLH6/H6An3OJ2uzNVkqRJfX09+/bto6Ojo88bq5YvX97zd0REREREREREhpa0\nBFssy+KGG27gwQcfTMd0IiLDWtb0Ccz86k3UPr6Oxhff6rO9GYlR9+RrNK97h7GrzyVv0WzdwS0i\nIjJEmZEYDc+9Qf3TmzDD0X71sbkcjL1yOYXnnaF/40UGweFwEI0m/ns7Elxobm7OZEmSQvF4nF/8\n4hf87Gc/Y8eOHf3ut337dmbPnp3CykRERERERERksNISbHnggQd6Qi1nnnkm/9//9/9xxhlnkJ+f\nj81m67Xv5MmT01ChiMjQYnc7GX/dB8idP4OD96wl0tTeZ59oaydVf/w7jS+9xbirV+CfNi4NlYqI\niEh/WJZF6+ad1Dy+jmhzR7/7+aePT6zSUpyXuuJERhm/308sFqO9ve/fsWV4MU2TK6+8kieffDLT\npYiIiIiIiIhIEqUl2PLwww8DsHLlStasWYPDkbYdkEREhrWsmROY+W83Ufvka4nVW0yzzz7BA7Xs\n+eGfyVswk9JVy3CPyUt5nSIiInJygb2HqX7kFYL7a/rdx+51U7rqHK3SIpIiXq+XcDic6TIkyX73\nu9/1hFoWL17MJz7xCU4//XRyc3P7vLFq6tSp6ShRRERERERERAYhLQmT2tpaAD73uc8p1CIiMkB2\nj4vx16ygaPnpVD/6Mu1v7+tXv9Y3dtH65m7yzppB8cpF+CaOSXGlIiIicoRlWXS8e4D6pzcR2HO4\n/x1tBkXnnUHJZUtxZHlTV6CI9GxPJCPHkRurrrzySv7yl7/0GWYRERERERERkeEhLSmTceMS22Hk\n5eWlYzoRkRHJXZLPlM+spmNHFdV/eYmuw419d7KsRMDljV1kl09mzMpF+GeMxzB057eIiEgqWHGT\n1jd3Uf/0pv79W32U7HlTGHfVeXhKC1JUnYjIyHbkxqrPf/7zCrWIiIiIiIiIjCBpCbZceOGFPPzw\nw2zdupVly5alY0oRkREre/YkZv7rjTSvf5fav64n1hHsV7+OigN0VBzAN2UsY1YuIue0qdraQERE\nJEnMSIzm19+l4ZnNRJraB9TXM66QcVevIHtOWYqqExEZHcaNG8fbb7+tG6tERERERERERpi03L5y\nyy23MHPmTO68805aW1vTMaWIyIhm2GwUnnsas7/1ccasXIThsPe7b3B/DQd+9QQ7v3s3za+/ixmL\np7BSERGRkS0e7KLu7xvZ/vXfcfiB5wcUanFkeZlwwwXM/NePKdQiIpIEF154IQBbt27NcCUiIiIi\nIiIikkxpCbZ4PB6eeeYZHA4Hy5Yt4/nnn0/HtCIiI57d62bslecy6xu3kHvWjAH1Ddc2c/Dup9nx\nzbuof/YNov1c+UVEREQgXNdC9SMvU/G131H7xKv9XkENwHDYKb5wAbO/fSuFy0/HsGu7DBGRZPj0\npz9NWVkZ//mf/0lnZ2emyxERERERERGRJEnLVkQAkyZNYuvWrVx11VVccMEFFBUVMWPGDHw+X6/9\nfv7znzNz5sw0VSkiMjy5i3KZ/P9dQeeew9Q+8SqBPYf73Tfa0kHNIy9T89g6cuZOJn/JHHJOm4rN\nmbZ/IkRERIaFWLCL1s07admwneD+moEPYBjkLZhJ6apzcBfnJb0+EZHRLjs7m2eeeYaLLrqI5cuX\n85Of/ITly5dnuiwREREREREROUVp+9ayqqqKG2+8kXXr1gHQ2NhIY2Njn/3a2we2P72IyGiWNX08\n079wHYG91dQ/s4n2t/f1v7Np0v7OPtrf2Yfd5yZvwSzyl5bjm1yKYRipK1pERGQIs+JxOioqad5Q\nQfvb+7AGsYWf4bBTcPZcii9coECLiEiKzZgxg23btnHFFVdw3nnnMWbMGKZPn47X6+2131133cXE\niRPTVKWIiIiIiIiIDERagi2tra2cc845HD6cWEEgNzeXOXPmkJ+fj83W+7LbeXl5aahQRGRk8U8b\nx5Rpq+mqbqT+mc20bNoBptXv/vFgmKZX3qbplbdxl+STv6Sc/MVzcBVkp7BqERGRoSN0qIHm1yto\n3bRjQNsMHc3mcVF03hkUfeBMnLn+JFcoIiInsnfvXj760Y+yceNGAOrr66mvr++zXyAQSHVpIiIi\nIiIiIjJIaQm2/OQnP+Hw4cP4fD5++ctfcsMNN+BwaIsLEZFU84wrYtItl1B6xTk0PPcGTa9uw4rG\nBjRGuK6F2idepfavr5I1cyI5p08jZ+4U3GPyUlO0iIhIBlimRehgHR0VlbRu2U3XoYZBj+XI8VH8\nwbMoXH46dq87iVWKiEhv6uvrOfvss2loSPx/eF5eHuXl5eTm5vZ5Y1VWVlY6ShQRERERERGRQUhL\nuuT1118H4Otf/zo33XRTOqaUNLPb7ZkuQUR64SrMYfx1H6Dk0iU0vvQWjS++RTwYHtggFnTuPEjn\nzoNUP/QiruJcsssnk1M+Gf/MidjdztQULyIikiKxjiAdFZW0Vxygc3slsc7QKY3nKsql+MIFFCyd\ni82lIL+ISLrdeeedNDQ0kJOTw29+8xuuvvpqXa8QERERERERGQHScrW1q6sLgOXLl6djOskAp9NJ\nLDawVSBEJP0c2T5KrziH4gsX0vzqOzS+/DaRhtZBjRVpaKPppa00vbQVw2HHP20c2eWTyZ47Gc/Y\nQgzDSG7xIiIip8iKmwQP1NBeUUnHuwcIHayD/u/Ud1K+KWMp+sCZ5J05A8Pe+4oAIiKSOkdurPre\n977Hddddl+FqRERERERERCRZ0hJsmTVrFi+88AIdHR3pmE4yJBKJEAgE8Pv9mS5FRPpg97govmAB\nRR88i+C+Gpo3VND6xi7M0ABXcelmxeI9q7nUPPoKzrwssmZOxDe5FG9ZCd4JxdicunNdRETSKx4K\nE6ysI1hZS+hAHR27Dg7637r3c+Znk794DvlL5+ApKUjKmCIicmp0Y5WIiIiIiIjIyJSWbxk/8YlP\n8Mtf/pLHHnuMSy65JB1TSoa0trYCKNwiMkwYhoF/2jj808Yx/przaXt7Ly0bttNRcQCswd/CHm3t\npGXjdlo2bk/MY7fhGVfUE3TxlZXiGVuA0cc+9yIiIv1lRmOEDjUQPFBLqLKWYGUd4bqWpM5hczvJ\nnT+d/KXlZM2YiGHT6mQiIkPJrFmz2LRpk26sEhERERERERlh0hJsWbRoEd/5znf49re/zYoVK7jh\nhhvSMa2kUTQa7XmtcIvI8GRzOchfOIv8hbOItgVo2bSDltcr6KpuPOWxrbhJ6GA9oYP18Mp783kn\nleCdVIKntAD3mHzcJfk4cnzaxkhERE7KMk2iLR101bUQrmuhq6aJUGUdocONYJrJn9CArJkTyV8y\nh9z5M7B7XMmfQ0REkuITn/gE9957L4899hjnnntupssRERERERERkSRJS7Bl7969fPjDH6arq4ub\nbrqJ++67j+uvv55Zs2bh8/l67Tt9+nQ8Hk86ypRTEI/Hcbneu8h/JNwiIsOTM9fPmAsXUHzBWXQd\naqB5QwXtW/cSaWpP2hxmJEZgz2ECew4f87nN4+oJubhL8t97PSYfu9uZtPlFRGRoiwW6CNc1E65P\nBFjCdS2J1/WtWLF4yuf3TCgm78wZ5C+Zg6sgJ+XziYjIqfvABz7Av/zLv/A///M/LF++nNWrV2e6\nJBERERERERFJgrQEW66//nreeOONnvdr1qxhzZo1/eq7adMmFi5cmKrSJIkcDgc5OTk9oRaFW0SG\nP8Mw8E4cw/iJYxh39Qoi9a20Vxygo+IAnbsOYkWT/8Wi2RUhVFVHqKruuGP2LC/OHB+ObB+OHP8x\nrx05Ppw5/sT7bK+2ORIRGYLMaIxYR4hYR4BYe5Boe5BYe4BYx/GvzVA4rbXZ/R6y55SRXT6Z7Dll\nOHO1+qCIyHCze/dubrrpJmKxGFdddRWrV6/mmmuuYcaMGXi93l77zpw585gbdkRERERERERk6EhL\nsEVGjyPbDx0JtYTD4T4vHonI8GAYBu6SfIpL8in+wJk9K660V+yn491KwnXNKa8h3hki3hkCmvoo\nFhxZR0Ivvu4ATCL8ckwAJseHw+/BsNtTXruIyEhkWRZWLE6sM0SsI9gdVkmEVo4NrASJdQSIB9Mb\nVumVAb7JY8kuT4RZfGUlCkWKiAxzq1atYufOnT3vH330UR599NF+9d2+fTuzZ89OVWkiIiIiIiIi\ncgrSEmz5+c9/Tnv74LavmDVrVpKrGZxoNEptbS1ut5vi4mIMwxiy86Sr1pN5f7glGo2mdX4RSQ+b\ny9H9ZWAZXAORpjY6KirpqKgksL+aWHswc8VZJL5g7QhCdd/NDYcdm8uBze3C5nJicx/1cDmxv+/9\ne8dd2FwO7G7XMccNlwPDZsOwGRh2G9hsPe9FRNLFMi2seBzLtMA0seImlmliRmKY4ShmJIoZjmCG\nY4nnSDTxeThKvOf4UY9jjke6x4mAaWX6R+03V3Eu/mnjE6uyzJ6EI0sBbBEREREREREREZGhLi3B\nlsWLF6djmpRYv3493/3ud3nmmWeIxWIA5OXlcd111/Gd73yHkpKSITNPumrtjyPhlrq647cSEZGR\nyVWYS+Hy0ylcfjqWZRFt7SR4oJZQZR3BylqCVfVp31aiv6xYnHgsnvqVBAww7PZEwMVmw7AnAi90\nB2CM7gAMdqPndSIYY/S8PiYo093u6LEMmwG9jPVe/+6+ytqIJIcF1lHhEUyr57VlmhB/L2SSeH/k\nWKId3e2sePfxo8ZKHH//eGafYzF88iYp4cj14ysrwVdWiq+sFG9ZCQ6/J9NliYhICt11110EAoFB\n9Z00aVKSqxERERERERGRZNFWRL341a9+xT/8wz8Qj8cxDIPx48cTDAZpaWnh17/+NY888ggvvPAC\n8+bNy/g86ap1IPx+P263O23zicjQYRgGrvxsXPnZ5J05A0isHBBuaCF0oDvoUllH6FA9VjSe4WrT\nyEqEaEb5d80iIkln97rxlpW8F2SZXIozLyvTZYmISJqdffbZmS5BRERERERERFJgyAZbbr75ZizL\n4p577snI/K+88kpPUGTp0qXcfffdzJiR+HL2ySef5JZbbqGxsZHLL7+cioqKnhVKMjFPumodDIfD\ngdPpTNt8IjJ0GTYDT0kBnpIC8pfMARKrG0SaOwjXtRCubznmOdrSkeGKRURkSLEZuIpy8YzJx13S\n/RhTgLskD0eOP+3bb4qIiIiIiMjgxLsiab32Z/e5ceYO/5sfzEiUSFN72uazeVy48rPTNp+IiEhv\nhmSwpa2tjWeffZaamhp+8IMfUFpamvYa7rjjDuLxOCUlJaxZs4aCgoKeY1dccQX3338/l1xyCVVV\nVfzoRz/i61//esbmSVetg+VwDMm/ZiIyBBg2G+6iXNxFuTB38jHH4uEokYZWwnXNicBLYxuxjiCx\n9iDR9gCxjhCYZmYKFxGRpDOcdhzZfpw5Phw5Phw5ftzFee+FWIpyMez2TJcpIiIjzDXXXENBQQG/\n/vWvM12KiIjIqHH4gedo2bgjbfM5cv3M/ubHsXtcaZszFaofXUfTS2+lbT67z83sb92KI8ubtjlF\nREROJi2Jgw984ANs2bKl3+07OzuJxxNbU7S3t6c92LJ161Y2btwIwO23335MUOSIiy++mMWLF7Nx\n40Z++9vfDioskox50lWriEi62d1OvBOK8U4oPuFxy7SIB7uItQeIdgde3gu9BBOftwcTrzuCYGoD\nIBGRdDMc9kRIJduHM8d//OscH87sxGubx6VVV0REJK2ampp44YUXaG1t5c477yQnJyfTJYmIiIx4\ngX3VaQ21AMTaAtSv3cTY1cvSOm8yhaobaXpla1rnjAfD1K55jQnXfzCt84qIiJxIWoItHR0dtLW1\nDbjfRRdd1LOlTjr99a9/7Xm9evXqk7a78sor2bhxI1VVVWzdupUzzjgj7fOkq1YRkaHGsBk4srw4\nsrx4+mhrmRbxQKg76BIg1hbsDsMEMMNRzHAEMxwjHo5gRqKJz448d79GuRgRGY1sBjaXE5s78bC7\nXdhcDmxuFzZ397PLid3rwpHTvdpKd1DFmePD5nUrrCIiImmzePFidu3a1e/2R99Y1dnZqWCLiIhI\nilmmxeGHXszI3A3PvUHBsnmJlaOHGcuyqH74pYzcuNf08tsUnns63vFFaZ9bRETkaGkJtvy///f/\nqK6u7rVNOBxm7969PPnkk3R0dPCRj3yEe++9NyMXwt966y0A/H4/c+fOPWm7xYsXH9NnoGGRZMyT\nrlpFRIYzw2bgyE6sEgADPwmzLAsrGiMePjbsciQQYx4ViImHo1ixOJZpQtzCMs3u1yaW2f0+nnjQ\nfczqbseRY6YJptXz+kifo8eg55j13lhxbc0kMmwYBobdhmEzwGbrfm0Dm9Hz2uj+nO52hu3I6+73\ndluir82GYe8+ftRYPce7jx0Z3+Z09ARVbN1BFbvb9d5nRwVZDIddwRQRERk22tvbB3Vj1ZVXXsm4\nceNSUJGIiIgcrWXjdkKVdRmZ24rFqXn0ZSZ/alVG5j8V7e/so3NHVWYmtyyqH36RqZ+7WtcHREQk\no9ISbPnEJz7R77aNjY1cccUVPPDAA1x88cV8/OMfT11hJ7Fz504AJk2a1Os/1JMnTz6uT7rnSVet\nIiKjmWEYGK7El71kZ7qa3vUEX44K0JwoKHMkJCMiydMTTjk6SHJUyORIAAWjO9AiIiIiSfX5z3+e\nxsbGXtuEw2F27drFmjVrCAQCfPKTn+TXv/51mioUEREZveJdEWoeX5fRGtq27KFz50GyZk3MaB0D\nYUZjVP/lpYzW0LnzIO1v7yP3jGkZrUNEREa3tARbBqKoqIi77rqL8vJyvvGNb3DLLbekPQXa0tIC\nQGFhYa/tjj5+pE+650lHrb21b21tHdBYIiKSWolVHeyAPdOliIiIiIik1Wc+85l+t62treWSSy7h\nd7/7HZdccgnXXHNNCisTERGR+rUbibUFMl0Ghx9+kZlfuTGxyukw0PjCFiINA1+RLtmq//IS2eVl\n2JxD7mtFEREZJYbkv9xz5sxh4sSJHDx4kMrKyrTPHwgkfrnyeDy9tvN6vT2vOzs7MzJPOmotKCg4\n6WPq1KkDGktEREREREREJNNKS0v5zW9+A8DXvva1DFcjIiIysoUbW2l47s1MlwFA1+FGml59J9Nl\n9Eu0LUDdUxsyXQYAkcY2Gl/YkukyRERkFBuSwRaAnJwc4L3gRjrZ7Ym73E3T7LVdPB7vee1wDDyl\nmox50lWriIiIiIiIiMhIsmjRIgoKCti5c2efWxiJiIjI4NU88gpWLN53wzSp/et6YsGuTJfRp9on\nXsUMRzNdRo+6pzYQbRv4Td4iIiLJMGSDLZWVlTgcDiZOTP9eh1lZWQCEQqFe2wWDweP6pHuedNTa\n3Nx80se+ffv67B+LxQY0n4iIiIiIiIhIOmRnZwOZubFKRERkNOjYWUXbW3syXcYx4oEu6v72eqbL\n6FWwspbm19/NdBnHMMNRah5/NdNliIjIKDUkl+548MEH6ezs5Nprr+1ZuSWdSktLqayspKamptd2\nRx8vKSnJyDzpqDU/P39A7Y+mUIuIjCZmLI4ZiWJF41imCaaJFbewTDPxPp54tuJH3r93zIqbYFrH\nHjetnteJ40eOWScYzzrqePf74+Z7r68VN8GyMv1HJjKiGDYb2AwMuw3DlnhgNxKv7UfeHzmWaEd3\nO6O7HUe3PTLWMeN19+1uxwn7HnX8qL6J9gY2pwObyzls9hMXERFJlVgsxuHDh/F6vYwdOzbT5YiI\niIw4Vtyk+qGXMl3GCTW+uJXCZafhGVuY6VKOY1kWhx96EYbgpbuW1ysoOu8MfJNLM12KiIiMMkMm\n2GJZFlVVVaxZs4avfvWrLF68mJ/97GcZqWXOnDls2LCBQ4cOEQqF8Hq9J2y3Z897KePy8vKMzJOu\nWgcjEAgQDoe19ZGIDElmNEasI4TZFSYejmJGopjhox5HvX/veAQzHEs8n6C9Fe99WzgRkaHEcNix\nuZ3vPVxO7G4XNpcDm8eFzfXe58e3e997nxtHlk9hGRERGVbuvvtuYrEYN910Ey6XK9PliIiIjDhN\nr75DV/UQ3e7PNKn+y0tM+YcPYxhGpqs5RuvmnQT39X4zcyYdfuhFpt9x/ZD7cxMRkZEtLYmDhQsX\n8sYbbwyoz8aNGxkzZsxJj2/atImFCxeeamkndPbZZ/OHP/yBWCzGhg0bOP/880/Ybt26dQAYhsGS\nJUsyMk+6ah2oQCBAa2tryucRETmaGYsTaw8S6wgQaw8SbQ8S6wgSaw8kXrcHiHUkPjdD4UyXKyKS\nUVYsTjwWJx5I0r7iBjj8Xhw5PhzZPhw5fpw5iWdHtg9njv+9Y9nexCozIiIiaWaaJlVVVTz22GN8\n/etfZ/ny5fzoRz/KdFkyEPv+ALn+TFchIiJ9iEeihNevp6AkmulSTq7pNbpe3o53fHGmK+lhRuOE\nXlxPQckQvnYZhOBzu/Br1RYRkaGvbeRsu6ulNE5g9erVfPazn8U0Te69994ThkVisRgPPPAAAIsX\nL2b8+PEZmSddtQ7E+0MtTqczpfOJyMgXC3YRaWzrDq0EibYlAirHvG4PEA8O4RM+EZGRzoJYZ4hY\nZwho6r2tYeDIei8Ec3Toped1rh93US42l36XFBGR/pk9ezY7d+4cUJ9XXnml1y2Yt2/fzuzZs0+1\nNBERkVGn/Z19mOEhHGrp1vrmbtylhdiGyAqkHdsPDItrnG1bduMdX4zNac90KSIiMkqkJdjyL//y\nL9TX1yd1zLKysqSOd7SSkhJuuukm/vjHP/LHP/6RT33qU8etcvLd736X6upqAL70pS+dcJz9+/cT\nDoex2+3MmDEjJfMkq9ZkeX+oxe12aysiEekXMxYn0tBKuK6FcH3LMc+JL0lFRGTEsKyegGJfnPnZ\nuEvyE48x7z27CrK16ouIiIiIiMgQFG3rpHPXwUyX0S+x9iCBXQfJnpO675z6XUsgREdFZabL6Jd4\nMExHxQFyz5iW6VJERGSUSEvi4LrrrkvHNEn1/e9/n6effpqamhpWrlzJN77xDc4//3wCgQD33HMP\nv/3tbwG44ooruPrqq084xqWXXsrOnTvJzc096bY8yZgnGWMkQywWO+bnzMvLo7OzM2XzicjwZFkW\nkYZWgpV1hKrq6KptIVzfTKSxHSwr0+WJiMgQE23pINrSQeeOqmM+Nxx23GPyEmGXsYX4JpXgm1yC\nMzcrQ5WKiEimff3rX6elpSWpY5aWaol9ERGRgbAsi5Y3doGZ6Ur6r+2dfXinjMXhcWW2ji17sOLD\n5w+uY3sl/mnjcGR5M12KiIiMAlpK4yTGjRvH3//+d6666ir27t3LHXfccVybVatW8ac//Snj86Sr\n1t7Y7XYikQgejwdIhFr8fr+CLSJCtLWT4IFagpV1BCtrCVXWEQ8N/eU0hz2bgWGzYdhtYLNh2AwM\nu+3YzwwDjEwXKjJCWGBZJlbcAtPEMk2seOKReG8lXivAlzRWLE5XdRNd1U3w1p6ez515WXjLSvCV\nleKbXIJvUgl2nyeDlYqISLrceOONmS5BRERk1OuqbiRc05zpMgbEisZp37qHgiXlGauhq76FYGVd\nxuYfDCtu0rplN0XLT890KSIiMgoo2NKL008/na1bt3Lvvffyt7/9jYMHD+J2u5k5cybXX389l112\nWa/9p06dCkBOTk5K50nWGKfC6XT2vD4SahGR0ceMxgjuqyGwv4ZgZS3BA7XE2gKZLis5DLC5nNjc\nRx4ubC4HNpcTu9uFze3o/syJ4bQfHyLpeW90B02OfGYce9xmA7vxvvdHXhtHBVUSY51oDmxGIrQi\nIkOOZVrQHYCxugMwxI8KwpgmHDl25H13KOa99hZWPJ4Iy5hHh2dOEKwxE217xoibmNEYZjiCGel+\nDkePfR2OYkYSnw1H0dZOoq2dtG/d2/OZe0x+d9ilBP/08XgnjEn8/6+IiIiIiIgkjRk3aX1zV6bL\nGJTA3mqyZkzAVdD79zmpYJkmbW8Mzz+3UFU9XXUteEryM12KiIiMcAq29MHv93Pbbbdx2223Dbjv\n3/72t7TMk8wxTpVCLSKjT7ixlY53K+moOEDnroOY4WimSzohw2HHkePHmePDkePDke3DkePH4XMf\nFVQ5Orji7A6tJF4bTofCIiJyyhJhCjuGPdOV9M0yrUTA5UjQJRw9JvgSPyoIEwuEiLUHiXUEibUH\nibYHiHUEwRwaK9SE61sI17fQumkHAI4sL9nlZWSXTyZ7ThmObF+GKxQRERERERn+OncdJNYeynQZ\ng2NB6xu7KL5wQdqvAQb21RBp7kjrnMnU+sZOSi5ZnLjhTkREJEWSGmy59957WbVqFbm5uckcFoAn\nn3yS0047jbKysqSPLcnhcrkUahEZBcxIlM5dh+ioOEB7xQEi9a0Zq8Vw2LsDKj6c2T4cuf7E+2wf\nzu7Xzhw/jhwfNo9LwRQRkQEwbAZ2jwv7IPcYt0yLeLCLWHuAaE/o5QSv2wPEOkNpDcHEOkO0bNxB\ny8YdYIB3Ugk55ZPJLp+Mb3JpYiUsERERERER6bdYKEz7O/syXcYpCde3EjpYj29SSdrmNCPRY1Yc\nHY6iLZ0E9tWQNX18pksREZERLKnBlh//+Md87nOf44tf/CK33357n1vw9MfatWv5xje+wcaNG9m0\naZOCLUNUNBrF4dACQCIjVbihlfa399L+7gECew5jxeJpmdeR5cVdko97TD7uknycBTk9QRVnjg+b\n162wiojIEGXYDBxZXhxZXjzjem9rmRbxQKg79BIg2hYg0tROuK4l8ahvweyKpKZQC0KVdYQq66h7\nagN2r5usOZPILp9M7mlTtZqLiMgQdPfdd3PVVVeRlZWV1HEty+LRRx/lnHPOobS0NKljSxJN/Tjk\na7sDEZGhpua+Z2g+NDy3tD1ax/PZzP7Gx7G50vN9R+0jL9NQmaLz3TRqf97L7PNuxu7zZLoUERE5\nWksL8IVMV5EUSf2X+YMf/CBbtmzha1/7Gt///ve58soruemmm7jooouw2/u/3vqePXu45557uPfe\ne9m3L5HwLS8vZ9y4Pq6IS8bE4+n5kltE0ice7KL1zV00v15BcF9NyuYxnPZEcKU7vNLzXJKPQydC\nIiKjgmEzelbcgqLjjluWRaw9QLiulXB9c+K5rplwfSvhxtakrvYSD4Vpe3M3bW/u5pDNRs68KRQs\nLSd73hRsjmGwh5SIyCjw/e9/ny9+8Yt8+ctf5rOf/ewprx5rWRZPPvkk3/zmN9myZQvbt29XsEVE\nRGQAglV1NK/flukykiLa3EHDs5spuWxpyucK17XQ+MKWlM+TDrHOEHVPbWDc1SsyXYqIiIxQSQ22\n/Pd//zc33HADX/jCF3jxxRe5//77uf/++8nKymLhwoUsXbqU8vJyCgsLKSgowO1209zcTHNzM1VV\nVWzcuJENGzZQWVnZM2ZxcTHf/va3+fSnPz2gcIyIiAycFTfp2FFJy+sVtG3dm/yVWWw2vOOL8JaV\n4CsrwVdWimdsobZ8EBGRXhmGgTM3C2duFlkzJxxzzIxECR1sIFhZS7CyjmBlbfK2yTPNxIplb+/F\n7veQt3AWBUvK8ZaVaMUwEZEMuuCCC/jFL37Bl770Jb797W9z1VVXcfPNN/OBD3wAm63/5xY7duzo\nubGqqqoKgDPOOIPi4uJUlX5SwWCQP//5zzz11FMcOnQIj8fDrFmzuOGGGzjvvPOG1DzpqlVERIYH\ny7KofuhFSN/usilXt3YT+Uvn4irITuk81X95CStupnSOdGp44S0Kzj0NT0lBpksREZERyLAsKyW/\nbjz99NP87Gc/Y82aNYNazWP27NncdtttfOITn0jKlkaSGi0tLRQUFHDbbbcxc+ZMxo4de8zxuro6\nvF4vEyZM4PLLL89QlSLSl9DhRlo2VNCycTux9mDSxnWX5OMrK8FbVpp4njAmbct4iojI6BULdhGq\nqiN4IBF0CVXWEW3tTNr47tICCpaWk794Ds685G6DISLJtWbNGg4dOkQoFKKkpKTn80gkwpYtW/jf\n//1fmpubyde2JsPOhg0b+Od//mdee+21ns9ycnJYtGgRS5YsYc6cOT03Vjmdzp4bqyorK9mwYQMb\nNmzg0KFDPX3Hjh3Lv//7v3PrrbcOKByTDG+//TbXXHMNu3fvPuHxG2+8kd/97ne43e6Mz5OuWt/v\nyPUnQP/NiogMMS2bd1L1+79luoyky1s0m7JbL03Z+O0VB9j/00dTNn6mZM+bwtT/d2WmyxARkW4j\n6VwqZd8urly5kpUrV3Lw4EHuu+8+XnjhBdavX09n54kvKNtsNk4//XRWrFjBlVdeyfnnn5+q0kRE\nBIgFuhJhlg3bCR2sT8qYzoIccsrLyC6fTNbMCdpTVUREMsLh85A9u4zs2WU9n0VbO+nYUUlHRSUd\n2yuJB7oGPX64tpmax9ZR8/irZM2eRMHScnLnT8fmVHhTRCRdlixZwvr161mzZg0/+9nPWLt2Le3t\n7Tz33HM899xz/R7ntNNO47bbbuPjH//4KW9pNBiHDx/mkksuoaamhuzsbL761a+yfPlyOjo6uOuu\nu3jwwQe57777sCyL++67L6PzpKtWEREZPsxIlJrHXsl0GSnRumkHReedgX/auKSPbcXjVD/8UtLH\nHQo6tu2n/d395MydkulSRERkhEn5ldeJEyfyla98ha985SvEYjF27dpFXV0dDQ0NRCIRioqKKC4u\nZtq0aeTl5aW6HBGRUS/S0kHj82/StO4dzHD0lMYyHHayZk4gu3wy2eWTcZfka2sGEREZkpx5WRQs\nnUvB0rlYpkmwso6OigN0vHuAYGXt4JbNtiw6t1fSub0SR66f4gsWUHjuadg9rqTXLyIiJ3b55Zdz\n+eWXs3//fu6//35eeOEFXnvtNYLBE69EabfbmT9/PitWrOCqq65i2bJlaa74WF/5yleoqanB4XDw\nzDPPsGTJkp5jl1xyCePGjePHP/4x999/P7fccgsrV67M2DzpqlVERIaP+mffINrckekyUubwQy8y\n419uwLAl93pn48tvE65tTuqYQ0n1wy+TPXsSht2e6VJERGQESdlWRDI6aCsikeGjq66Zhqc307Jx\n+ynt3eouye8JsmTNGI/N5UxilSIiIukX6wzRsaMqEXSpOHBK2/LZfW6KVsyn6Pz5OLJ9SaxSRAZD\nWxGNTtFolF27dlFfX099fT3RaJTi4mKKi4uZPn36kNny+vDhw0yaNAnTNLntttv45S9/eVybrq4u\nJkyYQFNTEx/84AcHtBpNMudJV60nM5KWzxYRGSkizR3s+PYfsKKxTJeSUhNvWknB2XOTNl6sM8SO\nb95FPBRO2phD0bhrVlD8wbMyXYaIyKg3ks6ltFa2iMgIFzxQS/0zm2h7a8/g7kYncZd7/uI55C+Z\ng2dsYXILFBERyTBHlpf8hbPIXzgLy7QI7KumZUMFrW/swuyKDGiseDBM3VMbqH/2DQqXzaP4ggW4\nCofGF6giIqOF0+lk7ty5zJ2bvC+hUuHRRx/FNBM3Hdx8880nbOPxeLj22mv55S9/yUsvvURTUxOF\nhQM7J0vGPOmqVUREho+ax14Z8aEWgJrH15E7fzp2rzsp49X+df2ID7UA1K55nfxFs3XDh4iIJI0t\n0wWIiEjyWZZFx45K9v7vw+z+7z/RtmXgoRbD6SB/8Wymfu4q5nz3k4y98lyFWkREZMQzbAZZ08cz\n8caLmPuftzHp1kvJLi+DAW61Z0VjNL74Ftu/+Xuq/vB3QtWNKapYRESGq/Xr1wPgdrtZtGjRSdud\ne+65AMTjcTZu3JiRedJVq4iIDA+dew7TunlnpstIi1h7kLq1yfk3LXSogaZ17yRlrKHODIWpffK1\nTJchIiIjiFZsEREZQSzTou2t3dQ/vYlQVf2gxvDPmEDB0nJyz5yB3eNKcoUiIiLDh83lIH/RbPIX\nzSba2knLph20vF5BV01T/wcxLVo2bqdl43ZyTpvKmIsX4Z86LnVFi4jIsLF9+3YAJk+ejNN58i1e\nZ8yY0fO6oqKCSy+9NO3zpKtWEREZ+izTovqhFzNdRlo1Pr+FwnNOwz0mb9BjWJZF9cMvgTXIJbWH\noaZ171C4/HS8E4ozXYqIiIwACraIiIwQnXsOUf3wS4MKtLiKcilYWk7+kjm4CnNTUJ2IiMjw5szL\nYsxFCym+cAGhg/W0vF5By6YdxANd/R6j/Z19tL+zj9wzpjP2quW4i/NSV7CI9Km3L+dF0qGmpgaA\nsWPH9tpu3Lj3ApG1tbUZmScdtba0tJz0WGtr64DGEhGR1Gl+/V1CBwd3Q91wZcXiVD/yMlM+86FB\nj9H21h46dx1MYlXDgGVx+KEXmfb5azAGuAqqiIjI+ynYIiIyzIUbW6l5dB1tW3YPuK930hjGXLyY\n3DOmYdi0O52IiEhfDMPAN6kE36QSSlefS/P6bTQ89wbR5o5+j9G2dQ/t2/ZRdP6ZlFy6GLvPk8KK\nReREQqEQbrc702XIKNfZ2QmAz+frtd3Rx4/0Sfc86ai1oKBgQO1FRCT94qEwtU+8mukyMqL97b10\n7Kgke3bZgPua0Rg1j7ycgqqGvsDuQ7S9tYe8M2f03VhERKQXCraIiAxT8VCYur9vpPGFLVix+ID6\nZs2exJiVi8iaNVFpeRERkUGyu50Uf+BMis47nZbNO6l/ehPhmuZ+9bXiJg3PvUHzhgpKLz+bwnNP\nw7ArZCqSDoFAgPb29kyXIUIsFgPAbrf32u7o40f6pHuedNXaH1+89yXc/uyUjC0iIr2zmRaOqVMy\nXUbGmK/sIrZ+z4D7GZaFc+JEmJiCooYBc/MBYluqMl2GiMioFA70/2a8oU7BFhGRYcaKmzSv30bt\nX9cT6wz1v6MBufOnM2blInxlpakrUEREZJQx7HYKlpSTv2gO7dv2Ub92E8H9Nf3qG+8McfjPz9P4\n8luMu3oFOeWTU1usyCh09JfrgUBAW5rIkJGVlUU4HKarq/dt7UKh9877srKyMjJPOmptbj55OLS1\ntZWpU6cOaDwREUk+02YQsfUecpTjWYZBxKE/NxERkVOhYIuIyDDSsb2S6r+8RFd1U7/7GHYb+UvK\nKb5oAZ4SLe0sIiKSKobNIPf0aeScNpXAnsPUP72JjncP9KtvuKaZ/T99lOy5kxl31Xl4xhamtliR\nUSQajRKLxY4LtYTD4cwVJQLk5+fT1NREU1Pv53dHBz7y8vIyMk86as3Pzx9QexERERERERk9FGwR\nERkGumqbqX7kZTq27e93H8Npp+i8Myi+YAHOvIHf1SciIiKDYxgGWTMmkDVjAqFDDdSv3UjrG7v6\n1bfj3QPs3F5J4fLTKb38bBxZ3hRXKzI6hMPhY0ItOTk5VFdXZ64gEWDGjBns2bOHAwcO9Nru6OMz\nZ87MyDzpqlVERERERETkRLSJu4jIEGbF49T97XV2fe+eAYVa8hbNZvY3P864q1co1CIiIpJB3gnF\nlH3ycmb8yw34po7tXyfToumlrez49h9o2bwTy7JSW6TIKJOXl4fXq9CYZN78+fOBxCon+/btO2m7\nTZs2Hdcn3fOkq1YRERERERGRE0lLsGXdunVEIpF0TCUiMmKEqhvZ/d8PUPvka1hxs199fFPGMv1L\nH6Hs1ktxFeSkuEIRERHpL9/kUqZ/8XrKPnkZzn7+Gx0PdFH1+79R+ds1xDqCKa5QRETSbdWqVT2v\nn3jiiZO2O3Js2rRpzJkzJyPzpKtWERERERERkRNJS7Dl85//POPGjeOf//mf2bZtWzqmFBEZtqy4\nSd3fN7L7P+8ndLC+X32c+dlMuvVSpt9xPf4p/bwbXERERNLKMAzyFsxi9jdvofRDy7C5nf3q17Zl\nNzv//W5a3+zfdkYi0rvW1lZCoVCmy5AUePHFF3nyyScHdO3pSJ9AIJDCyk5s6dKlzJs3D4D/+Z//\nobOz87g2f/vb33jzzTcB+OQnP5mxedJVq4iIiIiIiMiJpG0roqamJn784x9z2mmnsXTpUn7zm9/Q\n0dGRrulFRIaFrpomdt/5ALVPvIoVi/fZ3uZ2UrrqHGZ/8+PkL5qNYRhpqFJEREROhc3poOSSxcz+\n1q0ULJsH/fjnO9YZovK3a6j83RpinfpCXmSg3G43eXl5Pe/b29txOvsXLpPh4zOf+QyrVq1iwYIF\n3H333QPqc/DgwRRXdzzDMPjBD36AYRhUVVVx5ZVXcujQoZ7jf//737npppsAKCsr45/+6Z9OOM5l\nl13G/PnzufDCC1M2T7JqFRERERERERmMtARbfv7zn/Pxj38cn88HwIYNG/j0pz/N2LFj+cQnPsGr\nr76ajjJERIYsyzSpf3oTu/7jPkKVdX13MCD/7LnM/tbHKbl0CTaXI/VFioiISFI5c/1MvPEiZv7r\nx8iaObFffVrf2MXOf7+btrf2pLg6kZHD6XTicDjw+/3HhFvcbnfmipKUikQi3HLLLXzta1/DsqxM\nl9OrSy65hP/6r//CMAyee+45pkyZwowZMygtLeXSSy+lubmZwsJCnnzyyZ7rau9XUVHB1q1be12p\nJhnzJGMMERERERERkcFIS7Bl8eLF3HXXXdTU1PDzn/+cM888E4BAIMBdd93Fueeey5w5c7jzzjup\nr+/fthsiIiNFV20ze374IDWPrevXKi2+qWOZ8eWPMummlThzs9JQoYiIiKSSd0IxU//paiZ/5kO4\nCnP6bB/rCHLg13+l8q6ntHqLSD84HO+FwN8fbpGR6YwzzgDge9/7Htdff/2Q33rqS1/6EmvXrmX5\n8uXE43H27NlDXV0d2dnZ3HrrrWzbtq1nG6BMz5OuWkVERERERESOltZb/HNycvjsZz/LZz/7Wd54\n4w1++9vfcv/999Pe3s6OHTv40pe+xFe/+lVWrVrFJz/5SS655BJstrTtliQiklaWadLw/JZ+bztk\nOO2M/dC5FH1gPob+v1FERGREMQyD3NOnkTVzIjWPvkLTK2/32ad10w46d1Yx4aMXknv6tDRUKTIy\n+P1+YrEY7e3tmS5FUuS+++7jF7/4BT/72c946KGHqKqq4vHHH6ekpCTTpZ3URRddxEUXXURnZyfV\n1dW43W7Gjx9/TDDrZP72t78RiUT6tb3WqcyTzDFEREREREREBiJj34wuWLCAX/ziF9TU1PD73/+e\ns88+G4BoNMojjzzC5ZdfTllZGV//+tfZv39/psoUEUmJcF0Le370IDWPvNy/VVqmjGXmVz9G8QVn\nKdQiIiIygtk9LibccAFTP3cVzoLsPtvH2oMc+OUTVP3h78SCXWmoUGRk8Hq9hMPhTJchKWK32/np\nT3/KT37yE+x2Oxs2bGDJkiW88847mS6tT1lZWcycOZOysrJ+B0XKy8uZP38+c+fOTek8qRhDRERE\nREREpD8y/u2oz+fj1ltvZf369Wzbto1rrrmm59ihQ4f47ne/y7Rp07j00kt57rnnMlipiMips0yL\nhuffZOf37yG4r6bP9obDztgPL2f6F6/DU1KQhgpFRERkKMieXcasf7uJgmX9286hZeN2dv773bS/\nsy/FlYmMHNFoNNMlSIrdfvvtPPHEE2RnZ1NZWcmyZct46qmnMl2WiIiIiIiIiAxQxoMtAPF4nCee\neIKvfOUrPProo8ccMwwDy7L4+9//zoUXXsjq1atpa2vLUKUiIoMXrm9l748fovrhl7Ci/VilZXIp\nM//1RsZctFCrtIiIiIxCdq+biTdexJR//DDOvKw+28faAuz/xeNU3b2WuFZvEREB4LLLLuPVV19l\n0qRJdHR0sGrVKn76059muiwRERERERERGYCMflO6b98+/u3f/o2JEyeyevVqnnzySeLxOPn5+fzT\nP/0TFRUV7N+/n29961tMmjQJgCeeeIJ//Md/zGTZIiIDYpkWDS9sYef37iGw53Cf7Q2HndLVy5j+\nxevxjC1MQ4UiIiIylOWUT2bW12+m4Oz+bTHR8noFO797D+3vHkhtYSIiw8Rpp53Ghg0bWLx4MfF4\nnNtvv53bb7+deLzvGw5EREREREREJPPSHmwJh8P8+c9/5sILL2T69Ol8//vfp6YmsR3HOeecwx//\n+Eeqq6v58Y9/zJw5cygrK+Ob3/wme/fu5atf/SoA999/P52dnekuXURkwMKNrez934epfuhFrGis\nz/beSWOY8ZWPUnLxYgy7VmkRERGRBLvXzcSbVjLl/12JI9ffZ/toayf7f/YoB+99hngonIYKRUSG\nttLSUl588UWuvfZaAH7605+yatUqQqFQhisTERERERERkb440jVRRUUFv/3tb7n77rtpamrq+Tw3\nN5ePfexj3HbbbZx22mkn7e9wOPjud7/L73//e2prazlw4ADz5vVvv3kRkXSzTIumV96m5rFXMMPR\nPtsbdhslly1lzMqFGHZ7GioUERGR4Shn3hRmff1mqh96kZYN2/ts37x+Gx0VB5j4sZVkl5eloUIR\nkaHL6/Xy5z//mRkzZvD973+fp556KtMliYiIiIiIiEg/pCXYcuONN3L//fcf89nixYu57bbb+MhH\nPoLP5+vXOIZhMH78eGpra+nq0p7xIjI0RZraOHjvM3TuPNiv9p4JxUy6+WK8E4pTXJmIiIiMBA6f\nh0m3XELumTM4dP+zxNqDvbaPtnay76ePUHDuaYy76jzsHleaKhURGXoMw+B73/seM2fO5NOf/jSR\nSCTTJYmIiIiIiIhIH9ISbNm5cycA2dnZfPSjH+Uzn/kM8+fPH9RY119/PUuXLmXMmDFJrFBE5NRZ\nlkXzuneofuTlfq3Sgs1GyWVLKLl4kVZpERERkQHLPX0a/mnjOfzgC7Ru2tFn++Z179BRUcnEj11E\n9uxJaahQRCS97r//foLBIGVlfa9QdcsttzB16lT+8pe/AFBQUJDq8kRERERERERkkNISbDnzzDP5\n9Kc/zUc/+lGysrJOaawvfelLSapKRCR5Is3tiVVadlT1q71nfFFilZaJCumJiIjI4Dn8HspuvZS8\nM2dw6E/PEevoY/WW5nb2/eQvFC4/nbEfXq7VW0RkRDnrrLMG1H758uUsX748RdWIiIiIiIiISLKk\nJdjym9/8Jh3TiIiknWVZNK9/l+q/vITZ1Y8lrG0GJRcvZsylS7A5tEqLiIiIJEfu/On4p3ev3rJ5\nZ5/tm155m46KA0y8aSVZMyemoUIRERERERERERGRwUlLsEVGPru2UZFRKNLSwaH7nqWj4kC/2nvG\nFjLxlovxTSpJbWEiIiIyKjmyvJR94jJyz5zB4T89R6wz1Gv7SFM7e3/8MIUr5jP2ynOxu51pqlRE\nRERERERERESk/xRskaRwOp3EYrFMlyGSFpZl0fJ6BYcffgkzFO67g2EwZuUiSi5bgs2p/9sVERGR\n1Mo7cwZZ08dz6IHnaduyu8/2TS+9Rce7+5l480qypk9IQ4UiIiIiIiIiIiIi/advWCVpIpEIgUAA\nv9+f6VJEUiba2snB+5+lY9v+frV3lxYw6eaL8U0uTXFlIiIiIu9xZPuY/KkraH1jJ4ceeJ54oKvX\n9pHGNvb+z0MUfeBMxn5oGTaXVm8RERERERERERGRoUHBFkmq1tZWAIVbZMSxLIuWjdupfvBF4v1c\npaX4ogWUXn62VmkRERGRjMlbMAv/jAkc/tPztG3d03tjCxqf30L7tv1Mumkl/mnj01OkiIiIiIiI\niIiISC/0baskRTQa7XmtcIuMNNG2AIf+9Cztb+/rV3t3ST4Tb74Y/5SxKa5MREREpG/OHD9ln76C\n1s07Ofzn54kHew/pRupb2fOjByn+4AJKV52DzaXTRhEREREREREREckcXaGUpIjH47hcrp73R8It\nIsOZZVmJL4AefKHP5fsBMNAXQCIiIjIkGYZB/qLZZM2cwKE/Pdd3YNeChufeoH3bPgV2RURERERE\nREREJKP0zaskjcPhICcnpyfUonCLDGfR9kD/luzv5hqTpyX7RUREZMhz5mYx+bYP0bpxRyK828cW\ni+G6Fvbc+WeKL1xA6RXaYlFERERERERERETST1clJamObD90JNQSDofxer0ZrEhk4FqOLNPfz1Va\nij5wFmM/dA42lzP1xYmIiIicIsMwyF8yh6xZEzl0/7O0b9vfewfLouGZzbS/s49JN1+Mb3JpegoV\nERERERERERERQcEWSYH3h1ui0eipD7rn170fn/7pU59DRr1YR5BDDzxP25bd/WrvKs5l4k0ryZo+\nIcWViYiIiCSfMy+LyZ9dTcuGCg4/9BJmX6u31Daz+wcPMGblQkouW6rVWyQ5dK4nIiIiIiIiIiJ9\n0JVISYkj4Za6uroMVyLSP61bdnP4T88R6wz1q33R+fMpXX0udrdWaREREZHhyzAMCpbOJWvWJA7d\n9ywdFQd672BZ1K/dRPvb+5h4y8X4JpWkpU4REREREREREREZvRRskZTx+/243e5MlyHSq1hniMN/\nfp7WN3b1q72rMCexSsvMiSmuTERERCR9XPnZTPmHK2l+7V2qH34JsyvSa/uumiZ2//efGHPxYkou\nXYLNYU9TpSIiIiIiIiIiIjLaKNgiKeVwOHA6taKFDD2WadG6eQfVf3mZWEewX30KV5zB2NXnYve4\nUlydiIiISPoZhkHhOfPInl3GwfueoXN7Ze8dTIv6pzbQvnUv4z/yQbKmj09PoSIiIiIiIiIiIjKq\nKNgiKedw6K+ZDC2BfdVUP/wSwQO1/WrvLMhh4k0XkT1rUoorExEREck8V0E2U//xwzS/uo3qR17u\ne/WW6kb2/uhBcs+cwdgPL8ddlJumSkVERERERERERGQ0UOJAREaNSFM7NY+vo3Xzzn73KVx+OmM/\nvFyrtIiIiMioYhgGheeeRvacMg7e+zSdOw/22adty27a39lH0QfPpOTixdi92pZURERERERERERE\nTp2CLSIy4sW7ItSv3UTD829gReP96uPMz2bixy4ie05ZiqsTERERGbpchTlM/dzVNL3yNjWPvoIZ\njvba3orFaXh6My2vVVC66mwKzpmHYbOlqVoREREREREREREZiRRsEZERyzJNml+voPaJV4m1B/vd\nr2DZPMZddZ7uMhYREREhsXpL0XlnkF0+mUP3PkPnrr5Xb4l1BDl0/3M0vriVcdesIHu2tnQUERER\nERERERGRwVGwRURGpM5dBzn88Et0HWrodx9nXhYTPnYROeWTU1eYiIiIyDDlLsrtXr1la2L1lkis\nzz5d1Y3s+8lfyDltKuOuOg93SX4aKhUREREREREREZGRRMEWERlRggdqqXtqA+3v7Ot3H8Nhp+iD\nZ1Jy8WKt0iIiIiLSC8NmULRiPjnzplLz+DpaN+/sV7/2d/bR/u4BCpfNo/iihbiLclNcqYiIiIiI\niIiIiIwUCraIyLBnWRad26uof3pTv5bGP1ruWTMYe+VyfbkiIiIiMgCuwhzKPnEZRefPp/rhlwge\nqO27k2nS9MrbNL36DnkLZjFm5SK844tSX6yIiIiIiIiIiIgMawq2iMiwZZkmbVt2U//0ZkIH6wfU\n1ztpDOOuWUHW9Akpqk5ERERk5PNPHcf0Oz5C6+Yd1Dy2jmhrZ9+dTIvWTTto3bSD7HlTGLNyEVnT\nx6e+WBERERERERERERmWFGyRlIvFYpkuQUYYMxqjZUMF9c+8QaShdUB9Hbl+xq4+l/zFczBsRmoK\nFBERERlFDJtB/uI55M6fTsOzb1D/9CbMSP/OATq27adj235808ZRsnIR2XOn6Hc0ERERERERERER\nOYaCLZJSCrVIMsVDYZpeeZuG598k1h4cUF/D6WDMRQspvmghdrczRRWKiIiIjF42l5OSy5ZScM48\nap54lZbXK/rdN7i3mv2/eBzPuELGXLSIvIUzMez2FFYrIiIiIiIiIiIiw4WCLZIygUCAcDiMw6G/\nZjJ4lmURPFBLy+sVtGzeiRkKD3iM/MWzKV19Lq787BRUKCIiIiJHc+ZlMenmiyk6fz7VD79EYM/h\nfvftqm6i6o9/p+avr1KwpJz8JeW4x+SlrlgREREREREREREZ8pQ4kJQIBAK0trZmugwZxiLNHbRs\n3E7LhgrCdS0DH8CA3PkzGHPxInyTSpJfoIiIiIj0yjephGn/fC0d2/ZTt3YjwX01/e4bbe6g7qkN\n1D21Ad+0cRQsKSdvwUzsXncKKxYREREREREREZGhSMEWSbr3h1qcTm37Iv0TD0dpe2s3La9X0Lnr\nIFgDH8Ow28hfWs6YCxfiLslPfpEiIiIi0m+GYZBz2lRyTptK557D1D+9iY5t+wc0RnBvNcG91Rx+\n6AVyz5hO/pI5ZM8uw7DbUlS1iIiIiIiIiIiIDCUKtkhSvT/U4na7tRWR9MoyLQK7D9G8oYK2Lbsx\nw9FBjWNzOylcfjrFHzwLZ15WkqsUERERkVOVNX08WdPHEzrUQP0zm2ndvBOs/ieZrWic1s07ad28\nE0eOj/zFc8hfWo53XFEKqxYREREREREREZFMU+JAkiYWiyVCLWYcYlFynQYBuyfTZfWbZVlY6x+H\n5jqMaWfAjLMwnK5MlzUixTpDdOyooqPiAB0VB4i1Bwc9lj3LS/EHzqRwxRk4fMPn75uIiIjIaOWd\nUEzZrZdSuupsGp59k+bXtmFF4wMaI9YepOHZN2h49g3cY/LJLi8je+5ksmZMxObSaW4qWMEOrO0b\n4OAOjJkLMcqXZrqk/ot0QbADq9mC7AKd54mIiIiIiIiIDDO64idJ4XDYiYbDuA0TTJNcWwx/FAJx\nA/zDZPWM9iast16CSBdW1XZY/zjGrEUYc8/BKCjNdHXDmmWaBCvr6Hg3EWQJVtYOapuhozkLchhz\n4QIKzpmLzaXtrkRERESGG3dRHhM+8kFKLltC4wtv0fjyVsxQeMDjhOtbCNe30PjiWxhOO1kzJpBd\nPpns8sm4S/IxDCMF1Y8OlmVB9V6sd9dj7XsbYlGIRbGaarAPo2CLFWxP1N7WmDjv82ZheLMzXZaI\niIiIiIiIiPSTgi2SFBPysombMcAilwj+WBScLk45vZBO0UjiubMFLBM8fqwtL2C9/QrGuGkY886B\nqadj2PWfTX9E2zrp2F5JR0UlHdsriQe6Tn1QwyC7vIz8JeXknTkdw24/9TFFREREJKOcOX7Grl7G\nmJULadmwnebXKwhV1Q1qLCsaT/z+WVEJvISzIIec8jKyyyeTNWsidq87ucWPUFY4iLVzM9a766G5\nDmJhCAUgHAS3F7z+TJc4MJaVOMeLdIHNDmYb9mAHY/z6+yAiIiIiIiIiMhzoG3pJCofNII5FrtWF\n32YNqzzLCdkc0BWEYAe4PFiREFb1HvBlY8xZilG+FCOnMNNVDhnxUJhQVT3BytruRx3R5o6kje8Z\nV0j+knLyF8/GmTtMVgASERERkQGxe90UnT+fovPn01XTRPOGClo2bCfWFhj0mNHmdprWvUPTunfA\nAHdpAb6yUnxlJfjKSvGML8Lm1GnxEVZ9Fda29Vh73oRIOBFkCXUmVjuxO8GwZbrEU2MYgJW4qcEw\ncNm18qOIiIiIiIiIyHCgK3iSFDbAhYX/yJYwkSSszpFJLg/4ciASStyZ2NaYuLMv2I61aS3Wm89i\nlJVjzD0HJs3BsA3zC7wDYEZjhA41EKqsS4RYDtQRrm9OepjJkeUlb9Fs8peW451QrCXkRUREREYR\nz9hCxl25nLEfWkbnjoM0b6ig7a09WNHY4Ae1IFzTTLimmZbXKwAw7DY844sTQZfJicCLu7RgVP1+\nb0UjsGcL1rZXseoPQjyaCLN0BRIrnbh9kJUPDhe0N2a63FPncCdWb4nHsOkUQ0RERERERERkWFCw\nRZLCjMdwOJ1A9x1wI4FhJC7iun2JOxS7AhDshEA7uL1Yu9/EOlAB2fkY5WcnVnHxjZx92mOdIcJ1\nLYTrW457tuJmSuY0HHZyTptC/pJycuZO1lZDIiIiIqOcYbORXV5GdnkZ8VCY1i27aXm9gsCew0kZ\n34qbhKrqCFXV0fTK2wDY3E7cJfm4Swpwj8lLPJfk4y7Ow+5xJWXeocBqrsV6dz3Wzk0QDnWvzhKA\naBjsjkTQ3+NPBPxHGsMGDiexSDzTlYiIiIiIiIiISD8o2CJJYbNOEnSwLIjHIBzEaqkb3OC5RfTn\nRjor0HZqK8V0NJ38mMMJWXngz31vOe7WhsQF31AHVnsT1ua1GFNOw5i3DMZNG9IrjFiWhdkVIdYR\nJNoeJNYeIFzfekx4JR5Iz6o7dq+brDmTyC6fTO4Z03H4PWmZV0RERESGF7vXTeE58yg8Zx7hxjba\nt+6l/d39BPYcxoolL6BghqOEquoJVdUfd8yZl4V7TH4i6DImH1dRLo4cH84cH45sPzbX0D7FtuIx\n2P9OYnWWw3sT52pd3auzmCa4vJBbBE5P97Y9JxvIGvz53RHebAyPr++aI10QaBv8POFg4rz0RGMP\nflQREREREREREUmjoX3VTYa/WCRxJ2DHYcya9YMbI7cQ26IiDPvJlwM3tzyPtf6vgyxyAAwjcdei\nxw+xSCLgEmhLPNw+rB0bsPa8BQUlGHPPwZi1EMPd98XaZIl3h1Vi7YHuwEqQWEeAWHt3gOWoY6e0\njPsp8k4qIWfuZLLLJ+ObXNrr/7YiIiIiIu/nLsql+IKzKL7gLOLhKIHdh+ioOEB7xQEi9a0pmzfa\n2km0tZPOXQdPeNzmcXUHXfw4sn04cvzdoRffe593v7c503c6brU3Y1W8hrX9dQh2JG4ICHUmnm12\n8GQlznHs/awpHse8/z9PrSi7Hdvln+r1JgarI4j5x29BJDzoaaxOL8RH4KozIiIiIiIiIiKjiIIt\nkhqGkdi+BzsQBzME0UHc0Wd0Bx7aPZCfc/J2+95O3GUY6hhMtceKx/p3QdfhguwC8Oe9t4pLVyCx\nuktXJ1ZTDdZrT2LMOBNj3jKMMZP6HNIyTcxIDDMcwQx3P0eixMNRzKMesY4jIZUg0fZAT2DFjGQu\nrNIbR5a3ewn5yWTNKcOZnb6wj4iIiIiMbHa3k5x5U8iZN4XxQLihlY6KA3S8e4DOXQfT+juy2RUh\n0hXpV7jG5nUfFXo5KgCT5cXmdmJzObF5up/dLmxuR+LZ5cTmcvS5QqRlmlC1PbHdUGUFxOOJ1VlC\nATDj4HRDTmFilZb+rjZpdyTOeWK1/Wvfm+wCrAPvYozt5WdoaEmca7U2DH4eswQsL2Dr/88pIiIi\nIiIiIiJDioItkgJGIvRhxsEkcfHQ5khcMB2IaDgRMoG+14i2LLDMRHtvdm8Ne8bqGfKYZaktLKcP\nbE6IRI85nniyju6YeG1ZWNjBmQP2KLZoCKO1CctoxrK7sRoasdY/R9SVT9A7maCjFDNivRdUOSq4\nkslVVJLJVZSLr6wEb1kpWTMn4J0wBsOmi8giIiIiknru4jzcK+ZTtGI+ZjRGYG81gX3VhA7UEqys\nI9YRzHSJAJihMOFQmHBdy8A7G3QHXpzHPTsccfzRQ3hDB7DHghjEsMW6IB4Bw8ByeLDcWWB3QgyM\neLhnTDDoWULFMN5bTeVIIMTlB8uGQRyOXmul+/h77Tn2+NEsM3FTwEm2Bzq+PYmbJty+/q8oc7SI\nA0wDLFviPFVERERERERERIYdBVskaay4STwWOfYzI3G9MhY36QoPbN97mxXHbkWJ1jYTWtdM3Ok8\nemQsy8IyLbAs3E1+vFYHditGJBx57yLpcWGU/ogCoQHVeiwDcGM3YtiNEDYjgGnZsXe247cO4bUc\ntEeLaI8WEzUHGPYZghw5PnxlpYkgy+RSfJNKcGQN/59LRERERIY/m9NB9uxJZM9OrJ5oWRbRlg6C\nlXUEK2sJHagjWFWH2RXpY6QhxqInKH/kA4+9k2xnPX5nCwYmNiOGYcSwGSamZSNuOTEtO4QtEuc7\np3LOMwDHBWYs3MSINrTQ/vRGrILaxOozNqN7FZr3AjGuUBfuDgOnGSMai2MNYsWVmM1MnJdiEe/5\n80q8T6wwKiIiIiIiIiIiQ52CLZI8lnXiu+4sC0wTKxo9/lhvjDgYJlYsSrQtQsxmO2lTZ5cTHCYY\nibkyzyBuOYlbDgxM7LYoTlsYyzKIWw7yXDXkueoIxbNpjxTTGcsHTv7zDQk2G+6iXNwl+XjGFuIt\nK8E3uRRnXlafy6CLiIiIiAwFhmHgKsjBVZBD3pkzALBMi3B9SyLoUllHV20z4foWos1J2OY0xWzE\nyHI2ketqwGULYRDHbothM2KAgWnaiZhurEyeaxx3s4EJditxY0SwC9Nx8hV0bPEYzog70T4W6w6j\nDJDTBJuVyMscfb7a3xVjREREREREREQk4xRsEUkpAws7MdNODLN7FZcYDlsU07JjM2J47R0UWQ7q\nQtMIxXMyXTCOHB/ukgLcY/J6nj0lBbiKcjDsuqNRREREREYWw2bgKS3AU1oAS8p7PjcjUcL1rYTr\nWwjXdT/qW+iqa8EMhTNYcUKOs45CzyFsxLEZcexGtGd1lpjpwrQcnHQ7IBERERERERERkWFEwRaR\ntLERt1zELScOI9J9J2Uc04qC6SHPVUsolLpgi83jwpnjx5HjSzyy/Th7Xvtw5mXhLs7D7nWnrAYR\nERERkeHC5nLinVCMd0LxMZ9blkWsM0SkvpVoe4BYR5BYe4BYe5BoR5BYe+J9tD2IFY2lrL4C92Hs\nxHDaujCMxOojMdNFXIEWEREREREREREZYRRsEUmb91ZsMQwL07ITtxzdz05aIyUDHtHmduLoDqs4\n3x9WyfEnAivdn9tc+s9dRERERORUGYaBM9uHM9vXazvLsjDD0Z6QS6wnBBM8KhAT7DlmxeIDqqMl\nPI5CzyEiphdbz8qQEWxWrPs8QwEXkeGks7OTe+65h6eeeopDhw7h8XiYNWsWN9xwAytXrjzl8S++\n+GIqKyv7bHfttdfy7//+7xmtVUREREREROT99E23SEpZGJjYbYkLzYl3TkzDhWWzE3EUEPJNIZw9\nEbfbg9ftxOZ2YnO7sLkc2N2u7vdObC5nz2u7z40zx4/N5cz0DygiIiIiIidgGAZ2jwu7x4V7TH6v\nbS3LwuyKEGsPEg+FMcNRzEiUeDiaeB2OYEZiiecjn0Vm0hgK4OnYj6/rAFa8E8OKYSOKw4gCUUwz\nEaK3sKXnhx5mTEN/LjI0vPnmm1x99dUcOHDgmM9fe+01/vCHP3DVVVdx77334vV6Bz3H3r172bt3\nb5/tampqMl6riIiIiIiIyPsp2CLJYxgcd0eg0f25YcMwBvjXzYqDZcNwOHDkODCc7/U3DANsBhhG\n4o5Jmw8j2glmHJvbnSgF471yDKOnHuOEnxs95R7d9sgYPZ8bPQd6XhsnmAPTwogGIRyEeAzD6QZv\nIXh82F0ejFmLMOaeg79wLL1f4hYRERERkZHOMAzsXvegtwW1LAsO78bath5r/zsQj0IogD3UiSMe\nBYcLy+0DpzdxvmL1dHyvP0c+t445bvX6+fv69TSzjpujZy7ThHgXNocTV04eVn4Qy7QSY5rmMT+X\no6sLm2UH08Bw2mGg55QANhtHnbT1fBw07MR0SUSGgKqqKi699FLq6+vJy8vjm9/8JsuXL6ejo4O7\n7rqLu+++m0ceeYSbb76Zhx566JTnu/766/nWt7510uN5eXlDplYRERERERGRI3QVR5LGsNuw212J\nN5YJpolhJq4hOmw2PAPdCidqQhzshYX4Fo3HKMg5aVPzrQDWgU4IxLB7T7TctnWS1ydgd4Dbd9TF\nz36yLIhFINQJ4VDimqnbB94scLgwisZhzFsGM87CcHkGNraIiIiIiMhJGIYBE2ZiTJiJFWjD2r4B\n693XoLMFIxqGUCdGsA2MDvD4E+co9kFcDjDNRHjfHNi2Sd1VJp4sG4QcuPJyKFxwOrax404+3b7D\nWDtboCmE2+MEm33AszoitsR5qWVgdzkBg4Bp0GHaIN7HuaFIGvzLv/wL9fX1uFwunn/+ec4888ye\nY+effz5jx47lv/7rv3j44YdZs2YNl19++SnNl5eXx+zZs4dFrSIiIiIiIiJHKNgiKdAd8ADAngi5\nxGOJC6ADdeRia18Zk+5VYbDZBzfP0eKxxIQeX//aH7m429UJsSg4nJCdlwi1OF0Y089MBFrGTEpc\ncBYREREREUkRw5+LsXAl1lkXQOV2rHdfxaraAfF4IoTfFYBQB7g84MlKPPf3PCXYlug/iIDJMeyO\ngd1IYHdANDy4ucwc4jgBE2IRAjYPbaa2IJKh4eDBgzz44IMAfOpTnzomKHLEt7/9bX7/+9/T0NDA\nD37wg4yFRYZTrSIiIiIiIjLyKNgiqWFZ4HSBaU8ETpw2yBo7uLGy8yEnq/c2U+ZBbWXi7sNT1VyT\nWLq7L7Fo9+osgcTP6/FBVj443ZBXjDHvHIxZizH6G5ARERERERFJEsNmhynzMKbMw2prwqpYj7V9\nQ+IcJhJKPLc3JkIqHn8i5GLvI7ASj4HbC9mFp16g3Y5RVg6Rl0/+MxTnYx3ogoJBnksCdHqJRhxE\nTYuAZTsm1OIwY4MfVyQJHn300Z6twD72sY+dsI3b7ebaa6/l5z//OevWraOhoYHi4uJ0lgkMr1pF\nRERERERk5FGwRVLL4cLIycMoHYPt/HMHN0ZeCcb+3/XaxHbWhVgzFiQu0A5WawPm3//QexvL6l6d\nJZC4Y9DuAH9O4kKwzYEx9TSMuctgwgytziIiIiIiIkOCkVuIcfYqrEWXwP53sLa9ilW9LxHo7wok\nQi7BdnB5E9sUOd29r6hit2O79gunVpQvB8ObBXt6CbZk+7B9/NvQ0TzoaYwX18GO7URMkzZcPZ/n\n2uK0WOagxxVJhtdeew0Aj8fDggULTtru3HPP5ec//znxeJxNmzZx2WWXpavEHsOpVhERERERERl5\nFGyR1DKMxNY8Hj9G4cn3Tk/KVNn5QP6g+1u9ba8ej723bLdlJu5SzC0Glxuy8jDKz8YoX4rhzx30\n/CIiIiIiIqlkOJww4yyMGWdhNdVgvbsea+cm8HclAvyhTmhrSAT4PVndAf4TbNtjGCk/v+uZyuWB\nU5nrBKt65tpMfDaLllOoSyQZtm/fDsDkyZNxOp0nbTd9+vSe1xUVFacUFtmwYQMf/vCHOXDgADab\njdLSUs4++2xuvPFGpkyZMqRqFRERERERETlCwRZJCrfDRsQ0wd5bOmSYsSyIdEFXZ+LZZk/cvehN\nLNFtTJqdWJ2lbE5imW8REREREZFhwigci3He1VhLL4fdW7DefRWr4TDEIolAf7ANAm2JUL83Cxyu\nvgcdLiwTYlGcfW29JJJitbW1AIwd2/t2W0cfr6urO6U533rrLd56661jPvvb3/7Gt771LT7/+c/z\nH//xHycMrqSj1paWk8fNWltbBzSWiIiIiIiIjCwKtkhSmBbvBUFOdEffcBPpSlzMNeOJZbhzCnsu\n6BpzlmCUn4ORm4R95UVERERERDLIcHlg7tlQvhSjvgpr23qsPW9CNPe9VVxa6xMrcVoW2IZ5wMUy\naTMNLMNInMeKZFBnZycAXq+313Y+n++4PgOVlZXFjTfeyPnnn09ZWRklJSU0Nzfz0ksv8fOf/5z6\n+np++MMfUltby7333puRWgsKCgbUXkREREREREYPBVtOYv/+/YTD4T7b5ebm9nm3ykBEo1Fqa2tx\nu90UFxdj9LaveQrHGKhwzMTutIPNmQiDDHfxWGLJaq8f7E6MsVMw5i2Dqacnlu8WEREREREZQQzD\ngJIyjFbEFxQAAH5NSURBVJIyrGWrsXZuxNq2HlobIBZOBFzCoUyXOWguTHKtMG2GG2w22vAQMSOZ\nLktGuXg8cf3E1scNQvajVheKxWKDmmvDhg243e7jPj///PP5h3/4By699FI2b97Mf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          }
        }
      ],
      "source": [
        "# visualize geometry\n",
        "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(14, 4))\n",
        "sim.plot(z=wg_height / 2 + 0.01, ax=ax1)\n",
        "sim.plot(x=0.1, ax=ax2)\n",
        "ax2.set_xlim([-3, 3])\n",
        "plt.show()"
      ],
      "id": "4490ca9d"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Create and Submit Job\n",
        "\n",
        "The\n",
        "[Job](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.web.Job.html#tidy3d.web.Job)\n",
        "object provides an interface for managing simulations.\n",
        "\n",
        "`job = Job(simulation)` will create a job and upload the simulation to\n",
        "our server to run.\n",
        "\n",
        "Then, one may call various methods of `job` to monitor progress,\n",
        "download results, and get information.\n",
        "\n",
        "For more information, refer to the API reference."
      ],
      "id": "97425304-e4d4-48b8-842e-dacbf6e8a2a0"
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:53:00 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'CouplerVerify'</span> with resource_id                      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-2d7d00e6-22f2-43f9-ac38-24079a0c2531'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-2d7d00e6-22f2-43f9-ac38-24079a0c2531\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-2d7d00e6-22f</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-2d7d00e6-22f2-43f9-ac38-24079a0c2531\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">2-43f9-ac38-24079a0c2531'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"87b665d92eec40ddbb81b80c693f9da6\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:53:02 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.587</span>. This assumes the FDTD solver runs\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>for the full simulation time; if early shutoff is reached, the     \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed cost can be lower. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed FlexCredit cost after a simulation run.                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:53:06 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"c7545c6ab26243b9804e029d05349873\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:53:16 UTC </span>status = preprocess                                                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:53:20 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:53:21 UTC </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"adbceab0e090410aa0efb0487b7266ff\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:54:24 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">50</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"fb2a5631d7944573af256f0480d2a260\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:54:27 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:54:29 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-2d7d00e6-22f2-43f9-ac38-24079a0c2531\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-2d7d00e6-22f</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-2d7d00e6-22f2-43f9-ac38-24079a0c2531\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">2-43f9-ac38-24079a0c2531'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"3fd53642061e4c4c9cced07c1a7567c8\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:54:35 UTC </span>Loading results from data/sim_data.hdf5                            \n",
              "</pre>"
            ]
          }
        }
      ],
      "source": [
        "# create job, upload sim to server to begin running\n",
        "job = web.Job(simulation=sim, task_name=\"CouplerVerify\", verbose=True)\n",
        "\n",
        "# download the results and load them into a simulation\n",
        "sim_data = job.run(path=\"data/sim_data.hdf5\")"
      ],
      "id": "e2ab9fe7"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Postprocessing\n",
        "\n",
        "The following function takes a completed simulation (with data loaded\n",
        "into it) and computes the quantities of interest.\n",
        "\n",
        "For this case, we measure both the total transmission in the right ports\n",
        "and also the ratio of power between the top and bottom ports."
      ],
      "id": "e667c713-3d0d-4fda-bc12-3b8c3cc8da74"
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {},
      "outputs": [],
      "source": [
        "def measure_transmission(sim_data):\n",
        "    \"\"\"Constructs a \"row\" of the scattering matrix when sourced from top left port\"\"\"\n",
        "\n",
        "    input_amp = sim_data[\"in\"].amps.sel(direction=\"+\")\n",
        "\n",
        "    amps = np.zeros(4, dtype=complex)\n",
        "    directions = (\"-\", \"-\", \"+\", \"+\")\n",
        "    for i, (monitor, direction) in enumerate(zip(sim_data.simulation.monitors[:4], directions)):\n",
        "        amp = sim_data[monitor.name].amps.sel(direction=direction)\n",
        "        amp_normalized = amp / input_amp\n",
        "        amps[i] = np.squeeze(amp_normalized.values)\n",
        "\n",
        "    return amps"
      ],
      "id": "f12cf706"
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "mode amplitudes in each port:\n",
            "\n",
            "    monitor     = \"in\"\n",
            "    amplitude^2 = 0.00\n",
            "    phase       = -2.42 (rad)\n",
            "\n",
            "    monitor     = \"reflect_bottom\"\n",
            "    amplitude^2 = 0.00\n",
            "    phase       = 0.92 (rad)\n",
            "\n",
            "    monitor     = \"top\"\n",
            "    amplitude^2 = 0.96\n",
            "    phase       = -0.38 (rad)\n",
            "\n",
            "    monitor     = \"bottom\"\n",
            "    amplitude^2 = 0.03\n",
            "    phase       = 1.19 (rad)\n"
          ]
        }
      ],
      "source": [
        "# monitor and test out the measure_transmission function the results of the single run\n",
        "amps_arms = measure_transmission(sim_data)\n",
        "print(\"mode amplitudes in each port:\\n\")\n",
        "for amp, monitor in zip(amps_arms, sim_data.simulation.monitors[:-1]):\n",
        "    print(f'\\tmonitor     = \"{monitor.name}\"')\n",
        "    print(f\"\\tamplitude^2 = {abs(amp) ** 2:.2f}\")\n",
        "    print(f\"\\tphase       = {(np.angle(amp)):.2f} (rad)\\n\")"
      ],
      "id": "3e320dd4"
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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ThkIhy+VyWYB1+OGHTzqtEEIIIYQQQojykmEOhBBCCCGEqLC6ujo2btzIpz/9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\n6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fhF93v0/P7i8IVet7u5AsC+1vz9QoL+qynSmPIBwgTyI61NBnjchiAVoE8EBDoyZSHT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DvYNaglEFSwWbQETy4VaK+0CZfPc/8jD3Dk9GFqZ/Yenzjocmmzi3r8BMW56o7XU1GBg6SE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\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28SdY/93/N5tvlXm13H/m1rBr4mQcIj9AtmsUiibHikmafoRjSq5mXTarHfx47mmYAtez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lZh8W/V6Q6stXjs0UfxxJNPnls5yTMeiBuNBh544AHs7+8Pf2aOXJCbYt7zddNzY1GqfP3Z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\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          }
        }
      ],
      "source": [
        "fig, ax = plt.subplots(1, 1, figsize=(16, 3))\n",
        "sim_data.plot_field(\"field\", \"Ey\", z=wg_height / 2, f=freq0, ax=ax)\n",
        "plt.show()"
      ],
      "id": "4e934968"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## 1D Parameter Scan\n",
        "\n",
        "Now we will scan through the coupling length parameter to see the effect\n",
        "on splitting ratio.\n",
        "\n",
        "To do this, we will create a list of simulations corresponding to each\n",
        "parameter combination.\n",
        "\n",
        "We will use this list to create a\n",
        "[Batch](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.web.Batch.html#tidy3d.web.Batch)\n",
        "object, which has similar functionality to\n",
        "[Job](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.web.Job.html#tidy3d.web.Job)\n",
        "but allows one to manage a *set* of jobs.\n",
        "\n",
        "First, we create arrays to store the input and output values."
      ],
      "id": "c04d4c8c-47cf-432d-b876-495cab226b22"
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {},
      "outputs": [],
      "source": [
        "# create variables to store parameters, simulation information, results\n",
        "Nl = 11\n",
        "\n",
        "ls = np.linspace(5, 12, Nl)\n",
        "split_ratios = np.zeros(Nl)\n",
        "efficiencies = np.zeros(Nl)"
      ],
      "id": "1cc7f000"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Create Batch\n",
        "\n",
        "We now create our list of simulations and use them to initialize a\n",
        "[Batch](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.web.Batch.html#tidy3d.web.Batch).\n",
        "\n",
        "For more information, refer to the API reference."
      ],
      "id": "c655749f-1f6e-4645-9cc6-63462e42df9b"
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {},
      "outputs": [],
      "source": [
        "# submit all jobs\n",
        "sims = {f\"l={l:.2f}\": make_sim(l, wg_spacing_coup) for l in ls}\n",
        "batch = web.Batch(simulations=sims, verbose=True)"
      ],
      "id": "9e99cf2d"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Monitor Batch\n",
        "\n",
        "Here we can perform real-time monitoring of how many of the jobs in the\n",
        "batch have completed."
      ],
      "id": "d4b1e19c-18eb-4f6c-975b-9f0f96108613"
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"dd9d7c1c79544db9b8954d09bc30976d\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:54:45 UTC </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span> tasks.                      \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:54:55 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.246</span> for the whole batch.                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"b7a276cd1f79486ba7039af8b69a138f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:56:30 UTC </span>Batch complete.                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        }
      ],
      "source": [
        "batch_results = batch.run(path_dir=\"data\")"
      ],
      "id": "df252a21"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Load and Visualize Results\n",
        "\n",
        "Finally, we can compute the output quantities and load them into the\n",
        "arrays we created initially.\n",
        "\n",
        "Then we may plot the results."
      ],
      "id": "7cb5bc08-e67b-44e6-a4c1-55b4ba171489"
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(4, 11)\n",
            "[[-7.96867103e-03+1.46579921e-03j -9.56416251e-04-5.91058963e-03j\n",
            "  -8.68835988e-03-2.71162438e-04j -2.74225304e-03+2.50200177e-03j\n",
            "  -8.94530787e-03-9.62373517e-03j -1.79796694e-03+1.75609109e-03j\n",
            "  -2.77898540e-03-9.46655009e-04j -8.61402199e-03-2.05064263e-03j\n",
            "   6.85904075e-04-1.72143394e-03j -8.82217613e-03+1.86272084e-03j\n",
            "  -1.55366664e-03-2.99435900e-03j]\n",
            " [ 7.08971446e-03-2.44072327e-03j -3.33912870e-03+4.29917985e-03j\n",
            "   1.57092194e-03+3.25293574e-04j  9.30303498e-04-5.82406030e-05j\n",
            "   4.44191243e-03+7.66279816e-03j -4.17260846e-03-2.07154260e-03j\n",
            "   1.56630067e-03+5.48542022e-03j  4.22080704e-03+5.24719447e-05j\n",
            "  -5.39943217e-03+3.84008287e-04j  5.56391684e-03+5.16260631e-03j\n",
            "  -4.00964175e-03-1.00498435e-03j]\n",
            " [ 4.36866489e-01+4.18813924e-01j  6.68016138e-01-2.58010363e-01j\n",
            "   2.43480647e-02-8.10820347e-01j -8.09735567e-01-3.65451949e-01j\n",
            "  -6.94528272e-01+6.40745170e-01j  3.34775807e-01+9.21931962e-01j\n",
            "   9.92136004e-01+5.04360256e-02j  4.45726295e-01-8.76566432e-01j\n",
            "  -6.11497703e-01-7.27598692e-01j -8.57048874e-01+2.58498691e-01j\n",
            "  -8.05838565e-02+8.15294114e-01j]\n",
            " [ 5.45800729e-01-5.64622460e-01j -2.45198390e-01-6.41230791e-01j\n",
            "  -5.70536587e-01-1.94683812e-02j -1.83299921e-01+4.01908221e-01j\n",
            "   2.05053806e-01+2.24036117e-01j  1.48048786e-01-5.34866699e-02j\n",
            "   3.71450054e-04-7.10468822e-03j  1.27376809e-01+6.48012722e-02j\n",
            "   2.21791540e-01-1.86578949e-01j -1.24771529e-01-4.11202761e-01j\n",
            "  -5.57838782e-01-5.37826286e-02j]]"
          ]
        }
      ],
      "source": [
        "amps_batch = []\n",
        "for task_name, sim_data in batch_results.items():\n",
        "    amps_arms_i = np.array(measure_transmission(sim_data))\n",
        "    amps_batch.append(amps_arms_i)\n",
        "amps_batch = np.stack(amps_batch, axis=1)\n",
        "print(amps_batch.shape)  # (4, Nl)\n",
        "print(amps_batch)"
      ],
      "id": "4830bde3"
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {},
      "outputs": [],
      "source": [
        "powers = abs(amps_batch) ** 2\n",
        "power_top = powers[2]\n",
        "power_bot = powers[3]\n",
        "power_out = power_top + power_bot"
      ],
      "id": "768490e0"
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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PRVQXBAH+we/hFSDel8rL/xX8gtJ+9nucKh5eAQlNLtwRj9lZ2MDFIbFJ5aTeo8rRLjcM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\nozp27BiL0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Clz6/yly6PHWhwXWjRJkiRJUlRMyqgVK1ZET5aYSLt27fKvfDrqqKOoXLly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\niPSGySgiIiIiIiIiItKb/wP/vgxwo8JysAAAAABJRU5ErkJggg==\n"
          }
        }
      ],
      "source": [
        "plt.plot(ls, 100 * power_top, label=\"Top\")\n",
        "plt.plot(ls, 100 * power_bot, label=\"Bottom\")\n",
        "plt.plot(ls, 100 * power_out, label=\"Top + Bottom\")\n",
        "plt.xlabel(\"Coupling length (µm)\")\n",
        "plt.ylabel(\"Power ratio (%)\")\n",
        "plt.ylim(0, 100)\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "id": "818f2844"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Final Remarks\n",
        "\n",
        "Batches provide some other convenient functionality for managing large\n",
        "numbers of jobs.\n",
        "\n",
        "For example, one can save the batch information to file and load the\n",
        "batch at a later time, if needing to disconnect from the service while\n",
        "the jobs are running."
      ],
      "id": "bdb7c90c-b334-4d5b-9c25-91ea2f29f880"
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {},
      "outputs": [],
      "source": [
        "# save batch metadata\n",
        "batch.to_file(\"data/batch_data.json\")\n",
        "\n",
        "# load batch metadata into a new batch\n",
        "loaded_batch = web.Batch.from_file(\"data/batch_data.json\")"
      ],
      "id": "a4a14cb5"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "For more reference, refer to our documentation.\n",
        "\n",
        "## Using the `design` Plugin\n",
        "\n",
        "In `Tidy3D` version `2.6.0`, we introduced a `Design` plugin, which\n",
        "allows users to programmatically define and run their parameter scans\n",
        "while also providing a convenient container for managing the resulting\n",
        "data.\n",
        "\n",
        "For more details, please refer to our [full\n",
        "tutorial](https://www.flexcompute.com/tidy3d/examples/notebooks/Design/)\n",
        "on the `Design` plugin.\n",
        "\n",
        "We import the plugin through `tidy3d.plugins.design` below."
      ],
      "id": "3dc1fc1c-c2de-450f-b015-ba473e9f9600"
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {},
      "outputs": [],
      "source": [
        "import tidy3d.plugins.design as tdd"
      ],
      "id": "b95464eb"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Then we define our sweep dimensions as `tdd.ParameterFloat` instances\n",
        "and give them each a range.\n",
        "\n",
        "> Note: we need to ensure that the `name` arguments match the function\n",
        "> argument names in our `make_sim()` function, which we will use to\n",
        "> construct the simulations for the parameter scan."
      ],
      "id": "b05d3783-b185-4a4c-9d3f-a71c44591afd"
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {},
      "outputs": [],
      "source": [
        "param_spc = tdd.ParameterFloat(name=\"wg_spacing_coup\", span=(0.1, 0.15), num_points=3)\n",
        "param_len = tdd.ParameterFloat(name=\"coup_length\", span=(5, 12), num_points=3)"
      ],
      "id": "ce067fb1"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "For this example, we will do a grid search over these points, which we\n",
        "can define a `tdd.MethodGrid` and then combine everything into a\n",
        "`tdd.DesignSpace`."
      ],
      "id": "3aa4f03e-3436-4961-bfa2-45c23323bc89"
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {},
      "outputs": [],
      "source": [
        "method = tdd.MethodGrid()\n",
        "design_space = tdd.DesignSpace(\n",
        "    parameters=[param_spc, param_len],\n",
        "    method=method,\n",
        "    task_name=\"ParameterScan_Notebook\",\n",
        "    path_dir=\"./data\",\n",
        ")"
      ],
      "id": "53359946"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "To run the sweep, we need to pass the design space our evaluation\n",
        "function. Here we will define it through pre and post processing\n",
        "functions, which enables the `design` plugin to take advantage of\n",
        "parallelism to perform `Batch` processing under the hood.\n",
        "\n",
        "The functions `make_sim` and `measure_transmission` already almost work\n",
        "perfectly as pre and post processing functions. We’ll just wrap\n",
        "`measure_transmission` to return a dictionary of the amplitudes, so that\n",
        "the dictionary keys can be used to label the outputs in the resulting\n",
        "dataset."
      ],
      "id": "ae50b271-0e92-4c61-a88b-ddad5400202b"
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {},
      "outputs": [],
      "source": [
        "def fn_post(*args, **kwargs):\n",
        "    \"\"\"Post processing function, but label the outputs using a dictionary.\"\"\"\n",
        "    a, b, c, d = measure_transmission(*args, **kwargs)\n",
        "    return dict(input=a, reflect_bottom=b, top=c, bottom=d)"
      ],
      "id": "c3622740"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Finally, we pass our pre-processing and post-processing functions to the\n",
        "`DesignSpace.run_batch()` method to get our results."
      ],
      "id": "b841fd7b-3a19-48f5-b4a9-d5b17d8878e4"
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:56:35 UTC </span>Running <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9</span> Simulations                                              \n",
              "</pre>"
            ]
          }
        }
      ],
      "source": [
        "results = design_space.run(fn=make_sim, fn_post=fn_post)"
      ],
      "id": "dcced8d3"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Let’s get a `pandas.DataFrame` of the results and print out the first 5\n",
        "elements."
      ],
      "id": "e66850c3-dd2b-41af-9a29-c89692258be4"
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "\n",
              "</div>"
            ]
          }
        }
      ],
      "source": [
        "df = results.to_dataframe()\n",
        "\n",
        "# take absolute value squared of output 2 to get powers to the top port\n",
        "df[\"amp_squared_top\"] = df[\"top\"].map(lambda x: abs(x) ** 2)\n",
        "\n",
        "df.head()"
      ],
      "id": "840c58a3"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "And we can also use `DataFrame` visualization methods, documented\n",
        "[here](https://pandas.pydata.org/docs/user_guide/visualization.html)."
      ],
      "id": "ce25213e-c503-402e-9344-d33816ea4622"
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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Tky7TLJDMfMlwSEaYDCNMDucZMpwN2fYeAKqx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\n3ApyOO2OAgCWyMjO097UY0cL+DOKP6iuSkb87NtXdme+Nm3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          }
        }
      ],
      "source": [
        "df.plot.scatter(x=\"wg_spacing_coup\", y=\"coup_length\", c=\"amp_squared_top\", s=500)\n",
        "plt.show()"
      ],
      "id": "b33e037b"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "If you are interested in this approach to parameter sweeps, we highly\n",
        "recommend checking out our `Design` plugin\n",
        "[tutorial](https://www.flexcompute.com/tidy3d/examples/notebooks/Design/)\n",
        "for a deep dive and also the\n",
        "[documentation](https://pandas.pydata.org/docs/getting_started/intro_tutorials/01_table_oriented.html#min-tut-01-tableoriented)\n",
        "for `pandas.DataFrame`.\n",
        "\n",
        "## Parameter Scan using Signac\n",
        "\n",
        "For users who might need more structure to their parameter scans, the\n",
        "open source tool “[signac](https://github.com/glotzerlab/signac)” is a\n",
        "fantastic resource. Here we will reproduce some of the previous\n",
        "parameter scan using signac to give an introduction to how to apply it\n",
        "to Tidy3D projects. You can see detailed tutorials and examples at their\n",
        "[documentation\n",
        "page](https://signac.readthedocs.io/en/latest/tutorial.html).\n",
        "\n",
        "After importing the package, we need to define a `project`, which also\n",
        "tells `signac` to store our parameter scan data in a local directory of\n",
        "our choice."
      ],
      "id": "41e0c4a5-c086-42ca-95cc-bd1a9099ef16"
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {},
      "outputs": [],
      "source": [
        "import signac\n",
        "\n",
        "# make the project and give it a path to save the data into\n",
        "project = signac.init_project(path=\"data/coupler\")"
      ],
      "id": "92d0baa7"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "With `siganc` (and more generally in parameter sweeps), it is very\n",
        "useful to have a single function to define the inputs and outputs of\n",
        "your parameter scan. In our case, we have a single input (coupling\n",
        "length `l`) and two outputs: coupling efficiency (`eff`) and the split\n",
        "ratio (`ratio`). We write a function to link these inputs and outputs\n",
        "through a Tidy3D simulation."
      ],
      "id": "e1351228-78c6-4780-91e3-88da36b8ebf8"
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {},
      "outputs": [],
      "source": [
        "def compute(l: float):\n",
        "    \"\"\"compute efficiency and split ratio as a function of the coupling length\"\"\"\n",
        "    sim = make_sim(l, wg_spacing_coup)\n",
        "    task_name = f\"SWEEP_l={l:.3f}\"\n",
        "    output_file = f\"{task_name}.hdf5\"\n",
        "    sim_data = web.run(sim, task_name=task_name, verbose=False, path=output_file)\n",
        "    amps_arms = np.array(measure_transmission(sim_data))\n",
        "    powers = np.abs(amps_arms) ** 2\n",
        "    efficiency = np.sum(powers)\n",
        "    ratio_0 = powers[2] / efficiency\n",
        "    return efficiency, ratio_0"
      ],
      "id": "dff723ca"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The `signac` `project` contains a set of `job` objects, which each\n",
        "define a specific data point of our parameter scan. As such, we define\n",
        "another function that wraps `compute` but instead simply accepts a `job`\n",
        "instance, which makes our lives easier for managing parameter sweeps in\n",
        "`signac`.\n",
        "\n",
        "This function basically will open a job, grab its inputs (`l` value in\n",
        "our case), compute the output quantities, and save them to both the\n",
        "`job.document` record and also the `.txt` files storing the parameter\n",
        "scan results."
      ],
      "id": "3fc48ffb-8131-44c4-80e1-eccf9b5f4925"
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {},
      "outputs": [],
      "source": [
        "def compute_transmission(job):\n",
        "    l = job.statepoint()[\"l\"]\n",
        "    print(f\"Computing transmission of job: [l={l:.1f}]\", job)\n",
        "    eff, ratio = compute(**job.statepoint())\n",
        "    job.document[\"eff\"] = float(eff)\n",
        "    job.document[\"ratio\"] = float(ratio)\n",
        "    with open(job.fn(\"eff.txt\"), \"w\") as file:\n",
        "        file.write(str(float(eff)) + \"\\n\")\n",
        "    with open(job.fn(\"ratio.txt\"), \"w\") as file:\n",
        "        file.write(str(float(ratio)) + \"\\n\")"
      ],
      "id": "790ae8d0"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "With this, we can start our parameter scan, we simply loop through our\n",
        "desired `l` values, construct a `job` for each, and pass it to our\n",
        "`compute_transmission` function.\n",
        "\n",
        "> Note: If intermediate simulation results are needed, it should be\n",
        "> possible to modify `compute` to return also the `SimulationData`\n",
        "> associated with our task, which we could then store in the\n",
        "> `job.document` or elsewhere.\n",
        "\n",
        "We will compute only 3 values between our ranges of 5 and 12 to save\n",
        "time.\n",
        "\n",
        "> Note, the `job` instances each have their own unique ID, similar to\n",
        "> Tidy3D `task_id`, this is what is being printed below with each job\n",
        "> being computed."
      ],
      "id": "f4db3001-4ea5-47a8-b3ab-b49b00944d4c"
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Computing transmission of job: [l=5.0] abb6bcf88ee5474914d016b3c1fcc7b3\n",
            "Computing transmission of job: [l=8.5] c261dda788d2af5c1645cb17feb7854a\n",
            "Computing transmission of job: [l=12.0] bc0f33313f39cc49b60566dcb7f169f9"
          ]
        }
      ],
      "source": [
        "for l in np.linspace(5, 12, 3):\n",
        "    statepoint = {\"l\": float(l)}\n",
        "    job = project.open_job(statepoint)\n",
        "    compute_transmission(job)"
      ],
      "id": "945d4ae9"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Let’s take a look at our project and what data we’ve computed and stored\n",
        "so far."
      ],
      "id": "7811bf9e-379f-4b15-9b73-b911240b4524"
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'l': 12.0} {'eff': 0.9853033962706772, 'ratio': 0.6812097203424636}\n",
            "{'l': 8.5} {'eff': 0.9868406776748424, 'ratio': 0.9748619148203073}\n",
            "{'l': 5.0} {'eff': 0.9830762594780394, 'ratio': 0.37256258491896194}"
          ]
        }
      ],
      "source": [
        "for job in project:\n",
        "    print(job.statepoint(), job.document)"
      ],
      "id": "745681f8"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "`signac` also provides the ability to create a “[linked\n",
        "view](https://signac.readthedocs.io/en/latest/examples/notebooks/signac_102_Exploring_Data.html#1.2-Exploring-Data)”,\n",
        "which gives us a human-readable filesystem for looking at our jobs."
      ],
      "id": "a2a6c080-22d9-4426-adee-189106cbd70d"
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "12.0  5.0  8.5\n",
            "eff.txt  ratio.txt  signac_job_document.json  signac_statepoint.json\n",
            "0.9830762594780394"
          ]
        }
      ],
      "source": [
        "project.create_linked_view(prefix=\"data/coupler/view\")\n",
        "\n",
        "# let's print out some info stored in the directory we just created\n",
        "!ls data/coupler/view/l/\n",
        "!ls data/coupler/view/l/5.0/job/\n",
        "!cat data/coupler/view/l/5.0/job/eff.txt"
      ],
      "id": "f57bffcb"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We can also initialize many data points to compute later, and feed them\n",
        "to the `compute_transmission` function with a very basic “caching”\n",
        "implemented by checking if our inputs already exist in the record."
      ],
      "id": "7845c62f-8164-4114-8843-b1115f2dbe3c"
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "initialize abb6bcf88ee5474914d016b3c1fcc7b3\n",
            "initialize 07222394eb1a1b59f9e869ef871a3c29\n",
            "initialize c261dda788d2af5c1645cb17feb7854a\n",
            "initialize bdbbc3c4500db5773fa3cd350b6195ed\n",
            "initialize bc0f33313f39cc49b60566dcb7f169f9"
          ]
        }
      ],
      "source": [
        "def init_statepoints(n):\n",
        "    for l in np.linspace(5, 12, n):\n",
        "        sp = {\"l\": float(l)}\n",
        "        job = project.open_job(sp)\n",
        "        job.init()\n",
        "        print(\"initialize\", job)\n",
        "\n",
        "\n",
        "# make 5 points between 5 and 12, note, 3 have already been computed\n",
        "init_statepoints(5)"
      ],
      "id": "2e8da515"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "After initializing our statepoints (input values), they are stored in\n",
        "our project and we can loop through them and compute any that don’t have\n",
        "records."
      ],
      "id": "316a70dc-f0db-4864-ae08-c29ee378b26c"
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " - skipping job: bc0f33313f39cc49b60566dcb7f169f9 \n",
            " - skipping job: c261dda788d2af5c1645cb17feb7854a \n",
            "Computing transmission of job: [l=6.8] 07222394eb1a1b59f9e869ef871a3c29\n",
            " - skipping job: abb6bcf88ee5474914d016b3c1fcc7b3 \n",
            "Computing transmission of job: [l=10.2] bdbbc3c4500db5773fa3cd350b6195ed"
          ]
        }
      ],
      "source": [
        "for job in project:\n",
        "    if \"eff\" not in job.document or \"ratio\" not in job.document:\n",
        "        compute_transmission(job)\n",
        "    else:\n",
        "        print(f\" - skipping job: {job} \")"
      ],
      "id": "5fdc9a78"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "While we used `td.web.Batch` in our original example, `signac` lets us\n",
        "also leverage parallel processing tools in python to perform something\n",
        "similar.\n",
        "\n",
        "Let’s initialize 9 total statepoints now (5 have already been computed)\n",
        "and feed them to a `ThreadPool`. We notice that the jobs will be\n",
        "computed in parallel depending on how many threads are available on your\n",
        "machine."
      ],
      "id": "192fb6b2-e804-4d4c-8f6d-09da2092aea1"
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "initialize abb6bcf88ee5474914d016b3c1fcc7b3\n",
            "initialize dca27bcde6b7bfede0d701809749e789\n",
            "initialize 07222394eb1a1b59f9e869ef871a3c29\n",
            "initialize b22f487baf2db695e6b15444d42e31ff\n",
            "initialize c261dda788d2af5c1645cb17feb7854a\n",
            "initialize c7a1813a4fd1fd835898df062c3262c9\n",
            "initialize bdbbc3c4500db5773fa3cd350b6195ed\n",
            "initialize 9af2b1986858046540a9da68dbf4f425\n",
            "initialize bc0f33313f39cc49b60566dcb7f169f9\n",
            "Computing transmission of job: [l=11.1] 9af2b1986858046540a9da68dbf4f425\n",
            "Computing transmission of job: [l=5.9] dca27bcde6b7bfede0d701809749e789\n",
            "Computing transmission of job: [l=9.4] c7a1813a4fd1fd835898df062c3262c9\n",
            "Computing transmission of job: [l=7.6] b22f487baf2db695e6b15444d42e31ff"
          ]
        }
      ],
      "source": [
        "init_statepoints(9)\n",
        "\n",
        "from multiprocessing.pool import ThreadPool\n",
        "\n",
        "\n",
        "# make a convenience function to just call compute_transmission only for uncomputed jobs\n",
        "def compute_transmission_cached(job):\n",
        "    if \"eff\" not in job.document or \"ratio\" not in job.document:\n",
        "        compute_transmission(job)\n",
        "\n",
        "\n",
        "with ThreadPool() as pool:\n",
        "    pool.map(compute_transmission_cached, list(project))"
      ],
      "id": "2e300ba2"
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'l': 11.125} {'eff': 0.9865767106621071, 'ratio': 0.8412644717365316}\n",
            "{'l': 12.0} {'eff': 0.9853033962706772, 'ratio': 0.6812097203424636}\n",
            "{'l': 5.875} {'eff': 0.9833549750183481, 'ratio': 0.5591924316971284}\n",
            "{'l': 9.375} {'eff': 0.9874261402653469, 'ratio': 0.9990771524140658}\n",
            "{'l': 8.5} {'eff': 0.9868406776748424, 'ratio': 0.9748619148203073}\n",
            "{'l': 6.75} {'eff': 0.9835363694775754, 'ratio': 0.7384364397637049}\n",
            "{'l': 7.625} {'eff': 0.9854720615843541, 'ratio': 0.8824294348916522}\n",
            "{'l': 5.0} {'eff': 0.9830762594780394, 'ratio': 0.37256258491896194}\n",
            "{'l': 10.25} {'eff': 0.9872522283310214, 'ratio': 0.9518705992648342}"
          ]
        }
      ],
      "source": [
        "for job in project:\n",
        "    print(job.statepoint(), job.document)"
      ],
      "id": "ec0363e5"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Finally, we can consolidate and plot our results."
      ],
      "id": "2426d076-48e7-486d-abda-4b2b7efa5187"
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {},
      "outputs": [],
      "source": [
        "ls = np.array([job.statepoint()[\"l\"] for job in project])\n",
        "effs = np.array([job.document[\"eff\"] for job in project])\n",
        "ratios = np.array([job.document[\"ratio\"] for job in project])"
      ],
      "id": "d53c2ec4"
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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HDssJQ4Y223CvktYURtFyNYcwasOKdwEAAGA9lUqlnLj/ETlhyNANdoUZtATC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\ndO/evYk7AlqacrmcMROeyMixd2fyW1M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L4eLiAm9vb0yY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\nhskoIiIiIiIiIiJSm/8HGxZchZMTIdAAAAAASUVORK5CYII=\n"
          }
        }
      ],
      "source": [
        "plt.scatter(ls, 100 * ratios, label=\"split ratio\")\n",
        "plt.scatter(ls, 100 * effs, label=\"efficiency\")\n",
        "plt.xlabel(\"Coupling length (µm)\")\n",
        "plt.ylabel(\"value (%)\")\n",
        "plt.ylim(0, 100)\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "id": "ce0e6074"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "For more information, we highly recommend you visit `signac`\n",
        "[documentation page](https://signac.readthedocs.io/en/latest/), which\n",
        "includes explanations about all of the many other features not covered\n",
        "here, which could assist you in your parameter scans using Tidy3D."
      ],
      "id": "22b11548-44c6-43f1-b9ba-103b89b48280"
    }
  ],
  "nbformat": 4,
  "nbformat_minor": 5,
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    }
  }
}