{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Heat dissipation in SOI platforms\n",
        "\n",
        "When designing heated devices, it is important to have an understanding\n",
        "of thermal crosstalk in order to inform the spatial layout of your\n",
        "device. In this example we study the effects on silicon waveguides from\n",
        "heating elements spaced at various distances. This is based on the\n",
        "simulation and experimental data specified in\n",
        "`Pant et. al. \"Study into the spread of heat from thermo-optic silicon photonic elements,\" Opt. Express 29, 36461-36468 (2021)`\n",
        "[DOI:10.1364/OE.426748](https://doi.org/10.1364/OE.426748).<br><br> In\n",
        "this paper, the authors study the thermal crosstalk between heating\n",
        "elements and waveguides, as well as heated waveguides and reference\n",
        "waveguides, separated at various distances. Here we replicate results of\n",
        "two setups:<br>"
      ],
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      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "A heating element at a fixed height above a reference silicon waveguide,\n",
        "translated laterally at various distances. We record the temperature in\n",
        "the center of the waveguide at these heater distances."
      ],
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        "</li>"
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    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "A heating element above a silicon waveguide, both translated laterally\n",
        "from a reference waveguide. We record the temperature profile along the\n",
        "cross-section through the center of the waveguide layer."
      ],
      "id": "bffa7bf9-374a-4672-9868-f34b5a05786c"
    },
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        "</li>"
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        "</ol>"
      ],
      "id": "14a652e7-2125-4b40-b92a-593c6f502407"
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    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "<img src=\"img/heat_dissipation_SOI.png\" width=\"500\" alt=\"Schematic of heating SOI setup\">\n",
        "In both setups, we use the stack in process design kit (PDK) of the\n",
        "Cornerstone multi-project wafer (MPW) fabrication service: Silicon on a\n",
        "buried oxide layer, with $\\text{SiO}_2$ cladding, with a separation of 5\n",
        "μm between the waveguide and surrounding silicon, all on a silicon\n",
        "substrate."
      ],
      "id": "981a0241-d579-428d-aeb2-5817b24639f0"
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {},
      "outputs": [],
      "source": [
        "import gdstk\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import tidy3d as td\n",
        "import tidy3d.web as web"
      ],
      "id": "8e152a9f"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Make Structures\n",
        "\n",
        "The waveguide in the first setup in the paper is meant to be the arm of\n",
        "a Mach-Zehnder interferometer (MZI). We will thus distinguish this\n",
        "waveguide from the next by labelling it as “arm.” We will also define\n",
        "the layer thicknesses used in the paper’s PDK."
      ],
      "id": "dc68ecbd-06cf-4630-9cac-b548b62c0885"
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {},
      "outputs": [],
      "source": [
        "# waveguide geometry\n",
        "arm_thickness = 0.22\n",
        "arm_width = 0.5\n",
        "\n",
        "# heating element geometry\n",
        "heat_thickness = 0.15\n",
        "heat_length = 108\n",
        "heat_width = 2\n",
        "heat_height = 1\n",
        "\n",
        "# for defining different heaters, the difference which we'll analyze\n",
        "heat_offsets = np.linspace(0, 10, 11)\n",
        "\n",
        "# other layer information\n",
        "oxide_bottom_thickness = 2\n",
        "oxide_top_thickness = 1\n",
        "\n",
        "inf = 1000  # large number for making structures extend effectively to infinity"
      ],
      "id": "5f97d523"
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {},
      "outputs": [],
      "source": [
        "# create geometries\n",
        "arm_geo = td.Box(size=(heat_length, arm_width, arm_thickness))\n",
        "\n",
        "heat_geo = td.Box(\n",
        "    center=(0, 0, heat_height + heat_thickness / 2), size=(heat_length, heat_width, heat_thickness)\n",
        ")\n",
        "# translate copies of each heater along their corresponding distance\n",
        "heat_geos = [heat_geo]\n",
        "for i in range(len(heat_offsets) - 1):\n",
        "    dif = heat_offsets[i] - heat_offsets[i + 1]\n",
        "    heat_geos.append(heat_geos[i].translated(x=0, y=dif, z=0))\n",
        "\n",
        "oxide_geo = td.Box.from_bounds(\n",
        "    rmin=(-inf, -inf, -2 - arm_thickness / 2), rmax=(inf, inf, heat_height)\n",
        ")\n",
        "\n",
        "si_bottom_geo = td.Box.from_bounds(rmin=(-inf, -inf, -inf), rmax=(inf, inf, -2 - arm_thickness / 2))"
      ],
      "id": "beef4c23"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Define Multiphysics Materials\n",
        "\n",
        "Since we are interested in thermal properties of these materials, we\n",
        "must define perturbation mediums to track this information."
      ],
      "id": "eb60b2cb-0ebc-494e-9ddc-d578f1883b29"
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {},
      "outputs": [],
      "source": [
        "freq0 = td.C_0 / 1.55\n",
        "\n",
        "# material properties\n",
        "Si_n = 3.4777  # Si refraction index\n",
        "Si_dn_dT = 1.86e-4  # Si thermo-optic coefficient dn/dT, 1/K\n",
        "Si_s = 711  # Si specific heat, J / (kg * K)\n",
        "Si_k = 148e-6  # Si thermal conductivity, W / (um * K)\n",
        "\n",
        "SiO2_n = 1.444  # SiO2 refraction index\n",
        "SiO2_dn_dT = 1e-5  # SiO2 thermo-optic coefficient dn/dT, 1/K\n",
        "SiO2_s = 700  # SiO2 specific heat capacity, J / (kg * K)\n",
        "SiO2_k = 1.38e-6  # SiO2 thermal conductivity, W/(um*K)\n",
        "\n",
        "TiN_s = 598  # TiN specific heat capacity, J / (kg * K)\n",
        "TiN_k = 28e-6  # TiN thermal conductivity W/(um*K)\n",
        "\n",
        "Si = td.PerturbationMedium(\n",
        "    permittivity=Si_n**2,\n",
        "    perturbation_spec=td.IndexPerturbation(\n",
        "        delta_n=td.ParameterPerturbation(\n",
        "            heat=td.LinearHeatPerturbation(coeff=Si_dn_dT, temperature_ref=300)\n",
        "        ),\n",
        "        freq=freq0,\n",
        "    ),\n",
        "    heat_spec=td.SolidSpec(\n",
        "        conductivity=Si_k,\n",
        "        capacity=Si_s,\n",
        "    ),\n",
        "    name=\"Si\",\n",
        ")\n",
        "\n",
        "SiO2 = td.PerturbationMedium(\n",
        "    permittivity=SiO2_n**2,\n",
        "    perturbation_spec=td.IndexPerturbation(\n",
        "        delta_n=td.ParameterPerturbation(\n",
        "            heat=td.LinearHeatPerturbation(coeff=SiO2_dn_dT, temperature_ref=300)\n",
        "        ),\n",
        "        freq=freq0,\n",
        "    ),\n",
        "    heat_spec=td.SolidSpec(\n",
        "        conductivity=SiO2_k,\n",
        "        capacity=SiO2_s,\n",
        "    ),\n",
        "    name=\"SiO2\",\n",
        ")\n",
        "\n",
        "TiN = td.PECMedium(\n",
        "    heat_spec=td.SolidSpec(\n",
        "        conductivity=TiN_k,\n",
        "        capacity=TiN_s,\n",
        "    ),\n",
        "    name=\"TiN\",\n",
        ")\n",
        "\n",
        "air = td.Medium(heat_spec=td.FluidSpec(), name=\"air\")"
      ],
      "id": "3f354248"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Create Structures and Combine Them into a Scene"
      ],
      "id": "1f8a747f-5af7-4d70-8616-1d19de4ad9fa"
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
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          }
        }
      ],
      "source": [
        "oxide = td.Structure(geometry=oxide_geo, medium=SiO2, name=\"BOX\")\n",
        "arm = td.Structure(geometry=arm_geo, medium=Si, name=\"MZI\")\n",
        "heaters = [\n",
        "    td.Structure(geometry=heat_geo, medium=TiN, name=str(i)) for i, heat_geo in enumerate(heat_geos)\n",
        "]\n",
        "si_bottom = td.Structure(geometry=si_bottom_geo, medium=Si, name=\"Si_bottom\")\n",
        "\n",
        "scene = td.Scene(\n",
        "    medium=air,\n",
        "    structures=[oxide, arm, heaters[0]],\n",
        ")\n",
        "scene.plot(x=0, hlim=(-6, 6), vlim=(-2, 2))\n",
        "plt.show()"
      ],
      "id": "969ed931"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Other Heat Simulation Specifications\n",
        "\n",
        "Here we define the heat source and assign it to the heating element\n",
        "structure:"
      ],
      "id": "7c54a4ba-2f65-4cbd-a877-54f862057645"
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {},
      "outputs": [],
      "source": [
        "heater_volume = heat_thickness * heat_width * heat_length\n",
        "\n",
        "heat_watts = 13e-3  # heat given in paper as 13 mW\n",
        "heat_rate = heat_watts / heater_volume\n",
        "heat_sources = [td.HeatSource(rate=heat_rate, structures=[heater.name]) for heater in heaters]"
      ],
      "id": "81590584"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "In the paper, the temperature is measured in the center of the\n",
        "waveguide, so we define a point temperature monitor at this location:"
      ],
      "id": "e9c4cae3-d2ab-4b81-8342-7b2af7e1f189"
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {},
      "outputs": [],
      "source": [
        "temp = td.TemperatureMonitor(size=(0, 0, 0), name=\"t\", unstructured=True)"
      ],
      "id": "6b27a6fc"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "In the paper, the bottom boundary of the simulation is kept at 300 °K,\n",
        "so we implement this boundary condition:"
      ],
      "id": "89cfd90c-6be1-4096-9f3f-30a900de7db6"
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {},
      "outputs": [],
      "source": [
        "bc_bottom = td.HeatBoundarySpec(\n",
        "    placement=td.SimulationBoundary(surfaces=[\"z-\"]),\n",
        "    condition=td.TemperatureBC(temperature=300),\n",
        ")"
      ],
      "id": "89b7c9fd"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Here we define the unstructured meshing used in the heat simulation\n",
        "subject to the thickness of the thinnest structure (the heating element)\n",
        "in the simulation:"
      ],
      "id": "926fde44-dd75-491a-99a1-f9a28184f282"
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {},
      "outputs": [],
      "source": [
        "dl_min = heat_thickness / 3\n",
        "grid_spec = td.DistanceUnstructuredGrid(\n",
        "    dl_interface=dl_min,\n",
        "    dl_bulk=4 * dl_min,\n",
        "    distance_interface=3 * dl_min,\n",
        "    distance_bulk=2 * heat_height,\n",
        ")"
      ],
      "id": "13fda0d7"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Create Batch of Heat Simulations\n",
        "\n",
        "Note that, for the first simulation with zero offset, the simulation has\n",
        "symmetry, so we will add this into the first simulation."
      ],
      "id": "4ba8fff4-dffd-451d-a13a-56e2ee922e41"
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {},
      "outputs": [],
      "source": [
        "def create_sim(heat_index, symmetry):\n",
        "    heat_sim = td.HeatChargeSimulation(\n",
        "        size=(0, 6 + heat_index * heat_width, 6),\n",
        "        boundary_spec=[bc_bottom],\n",
        "        structures=[oxide, arm, heaters[heat_index], si_bottom],\n",
        "        sources=[heat_sources[heat_index]],\n",
        "        monitors=[temp],\n",
        "        symmetry=symmetry,\n",
        "        grid_spec=grid_spec,\n",
        "        medium=air,\n",
        "    )\n",
        "    return heat_sim"
      ],
      "id": "042b0620"
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {},
      "outputs": [],
      "source": [
        "heat_sims_1 = {}\n",
        "for i in range(len(heat_sources)):\n",
        "    symmetry = (0, 0, 0)\n",
        "    if i == 0:\n",
        "        symmetry = (0, 1, 0)\n",
        "    heat_sims_1[str(i)] = create_sim(i, symmetry)"
      ],
      "id": "89c7d60a"
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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          }
        }
      ],
      "source": [
        "# check simulations\n",
        "fig, ax = plt.subplots(1, 2, tight_layout=True, figsize=(8, 6))\n",
        "\n",
        "heat_sims_1[\"0\"].plot(x=0, ax=ax[0])\n",
        "ax[0].set_title(\"0-offset simulation\")\n",
        "heat_sims_1[\"1\"].plot(x=0, ax=ax[1])\n",
        "ax[1].set_title(\"1μm-offset simulation\")\n",
        "plt.show()"
      ],
      "id": "93573e72"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Run Batch"
      ],
      "id": "6abd5ea7-4aec-4ee3-8d37-6ed858a2cf29"
    },
    {
      "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\":\"f9fb01133c034faa8de25a924f5cc1d3\",\"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\">11:18:19 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:18:21 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:18:23 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:18:26 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:18:28 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:18:30 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:18:35 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:18:38 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:18:42 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:18:44 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:18:49 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:18:54 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:19:00 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:19:17 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:19:26 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:19:33 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:19:35 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:19:41 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:19:46 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:19:51 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:19:56 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:20:13 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:22:04 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_1 = web.Batch(simulations=heat_sims_1)\n",
        "batch_1_data = batch_1.run(path_dir=\"./heat_data/\")"
      ],
      "id": "2de639d1"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Get and Compare Data\n",
        "\n",
        "We compare the temperatures in the center of the waveguide for each\n",
        "simulation with the paper’s experimental (“Experiment”) and simulated\n",
        "(“Alternative simulation”) data:"
      ],
      "id": "111251d0-da9c-4ce2-8b3b-a8fc4ac08e4c"
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {},
      "outputs": [],
      "source": [
        "temps_1 = np.squeeze(\n",
        "    [(batch_1_data[str(i)][\"t\"].temperature - 300) for i in range(len(heat_sources))]\n",
        ")"
      ],
      "id": "fcfb81ed"
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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YqHP7+Y3vzc9UXXTVMdbzD0CaaBuA1EO5oCifvyouLFBQrK2tpX1LTk5mIolM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          }
        }
      ],
      "source": [
        "# data from Pant et. al. (their simulations and experiment)\n",
        "experimental_data = [37.9, 20.48213, 6.93489, 3.06426, 2.33851]\n",
        "exp_domain = heat_offsets[:-1:2]\n",
        "paper_sim_data = [38.05, 33.22, 22.67, 13.77, 7.79, 4.22, 2.35, 1.54, 1.23, 1.06, 0.92]\n",
        "\n",
        "plt.plot(heat_offsets, temps_1, label=\"Tidy3D\")\n",
        "plt.scatter(exp_domain, experimental_data, label=\"Experiment\", marker=\"s\", color=\"black\")\n",
        "plt.scatter(heat_offsets, paper_sim_data, label=\"Alternative simulation\", marker=\"D\", color=\"red\")\n",
        "plt.legend()\n",
        "plt.title(\"Offset vs Waveguide temperature change (°C)\")\n",
        "plt.xlabel(\"Heater offset (μm)\")\n",
        "plt.ylabel(\"Waveguide temperature change (°C)\")\n",
        "plt.show()"
      ],
      "id": "c9bdff8d"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Second Setup: Heated Waveguide & Reference Waveguide\n",
        "\n",
        "Here we compare the heat in the center of a reference waveguide due to a\n",
        "heated waveguide translated various distances from the reference\n",
        "waveguide, with the PDK’s requirement of 5 μm spacing between waveguides\n",
        "and surrounding silicon. Pant et. al. considered 3 different sets of\n",
        "layer thicknesses."
      ],
      "id": "5d6aae67-f719-4c1d-91f8-a0f2225c3a14"
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {},
      "outputs": [],
      "source": [
        "# create a function that gives the stack with waveguides given their spacing and layer thicknesses\n",
        "wg_width = 0.5\n",
        "\n",
        "# define heater source\n",
        "heat_rate = 16e-3 / heat_thickness / heat_width / heat_length\n",
        "# in the below function we will ensure our heater structure has the name \"heater\"\n",
        "heat_source = td.HeatSource(rate=heat_rate, structures=[\"heater\"])\n",
        "\n",
        "# Add same boundary conditions\n",
        "bc_bottom = td.HeatBoundarySpec(\n",
        "    placement=td.SimulationBoundary(surfaces=[\"z-\"]),\n",
        "    condition=td.TemperatureBC(temperature=300),\n",
        ")\n",
        "\n",
        "\n",
        "def make_stack(dS, si_thick, box_thick, top_thick):\n",
        "    # define stack geometry\n",
        "    inf = 1000\n",
        "    si_spacing = 5\n",
        "    heat_thickness = 0.15\n",
        "    heat_width = 2\n",
        "\n",
        "    # define silicon waveguide and surrounding silicon geometries based on separation distances\n",
        "    si_geos = [\n",
        "        td.Box(center=(-dS / 2, 0, 0), size=(wg_width, inf, si_thick)),\n",
        "        td.Box.from_bounds(\n",
        "            rmin=((dS + wg_width) / 2 + si_spacing, 0, -si_thick / 2), rmax=(inf, inf, si_thick / 2)\n",
        "        ),\n",
        "    ]\n",
        "    geo_group_R = td.GeometryGroup(geometries=si_geos)\n",
        "    geo_group = [geo_group_R.rotated(np.pi, axis=1), geo_group_R]\n",
        "    if dS > 2 * si_spacing + wg_width:\n",
        "        geo_group.append(td.Box(size=(dS - wg_width - 2 * si_spacing, inf, si_thick)))\n",
        "    si_geo = td.GeometryGroup(geometries=geo_group)\n",
        "\n",
        "    # geometry of the buried oxide layer\n",
        "    oxide_geo = td.Box.from_bounds(\n",
        "        rmin=(-inf, -inf, -si_thick / 2 - box_thick), rmax=(inf, inf, si_thick / 2 + top_thick)\n",
        "    )\n",
        "\n",
        "    # geometry of the silicon substrate\n",
        "    si_bottom_geo = td.Box.from_bounds(\n",
        "        rmin=(-inf, -inf, -inf), rmax=(inf, inf, si_thick / 2 - box_thick)\n",
        "    )\n",
        "\n",
        "    # geometry of the heating element\n",
        "    heat_geo = td.Box(\n",
        "        center=(-dS / 2, 0, si_thick / 2 + top_thick + heat_thickness / 2),\n",
        "        size=(heat_width, heat_length, heat_thickness),\n",
        "    )\n",
        "\n",
        "    # add materials to corresponding layer geometries\n",
        "    si = td.Structure(geometry=si_geo.translated(x=-dS / 2, y=0, z=0), medium=Si, name=\"si\")\n",
        "    oxide = td.Structure(geometry=oxide_geo, medium=SiO2, name=\"oxide\")\n",
        "    si_bottom = td.Structure(geometry=si_bottom_geo, medium=Si, name=\"si bottom\")\n",
        "    heater = td.Structure(\n",
        "        geometry=heat_geo.translated(x=-dS / 2, y=0, z=0), medium=TiN, name=\"heater\"\n",
        "    )\n",
        "\n",
        "    # Add mesh\n",
        "    dl_min = heat_thickness / 3\n",
        "    grid_spec = td.DistanceUnstructuredGrid(\n",
        "        dl_interface=dl_min,\n",
        "        dl_bulk=4 * dl_min,\n",
        "        distance_interface=3 * dl_min,\n",
        "        distance_bulk=2 * top_thick,\n",
        "    )\n",
        "\n",
        "    # add symmetry if there is no offset (the reference and heated waveguide are the same)\n",
        "    symmetry = (0, 0, 0)\n",
        "    if dS == 0:\n",
        "        symmetry = (1, 0, 0)\n",
        "\n",
        "    # record temperature at cross-section through the waveguide's center\n",
        "    sim_center_x = -5\n",
        "    if dS == 0:\n",
        "        sim_center_x = 0\n",
        "    sim_size_x = 40\n",
        "    line_monitor = td.TemperatureMonitor(\n",
        "        center=(sim_center_x, 0, 0),\n",
        "        size=(sim_size_x, 0, 0),\n",
        "        name=\"temp_line_profile\",\n",
        "        unstructured=True,\n",
        "    )\n",
        "\n",
        "    # create corresponding heat simulation\n",
        "    sim_padding_z = 1\n",
        "    sim = td.HeatChargeSimulation(\n",
        "        center=(sim_center_x, 0, 0),\n",
        "        size=(sim_size_x, 0, si_thick + box_thick + top_thick + 2 * sim_padding_z),\n",
        "        medium=air,\n",
        "        structures=[si_bottom, oxide, si, heater],\n",
        "        sources=[heat_source],\n",
        "        boundary_spec=[bc_bottom],\n",
        "        monitors=[line_monitor],\n",
        "        grid_spec=grid_spec,\n",
        "        symmetry=symmetry,\n",
        "    )\n",
        "    return sim"
      ],
      "id": "2796eae6"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Create Batch\n",
        "\n",
        "Here we create a batch of heat simulations for each set of stack\n",
        "thicknesses with each distance between heated and reference waveguides."
      ],
      "id": "b2aaaf7b-71f4-4517-85ae-5a44028de5ec"
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {},
      "outputs": [],
      "source": [
        "dSs = [0, 3, 6, 9]\n",
        "si_thicknesses = [[0.22, 2, 1], [0.34, 2, 1], [0.5, 3, 2]]\n",
        "\n",
        "SOIs = {}\n",
        "for si_profile in si_thicknesses:\n",
        "    for dS in dSs:\n",
        "        SOIs[f\"{si_profile[0]}-{dS}\"] = make_stack(dS, si_profile[0], si_profile[1], si_profile[2])"
      ],
      "id": "63e37035"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Check simulations:"
      ],
      "id": "3ed8dbd8-3497-4c14-b907-645278622955"
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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          }
        }
      ],
      "source": [
        "fig, ax = plt.subplots(2, 1, tight_layout=True, figsize=(8, 4))\n",
        "\n",
        "SOIs[\"0.22-3\"].plot(y=0, ax=ax[0])\n",
        "ax[0].set_title(\"220nm thick Si, 3 μm distance\")\n",
        "SOIs[\"0.5-9\"].plot(y=0, ax=ax[1])\n",
        "ax[1].set_title(\"500nm thick Si, 9 μm distance\")\n",
        "plt.show()"
      ],
      "id": "65ae99d9"
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"ef004e228940422d8eefef09ba29262a\",\"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\">11:22:16 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:22:20 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:22:23 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:22:26 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:22:29 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:22:32 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:22:37 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:22:42 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:22:45 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:22:49 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:24:17 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:24:27 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.026</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:24:39 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.026</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:25:05 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:25:11 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:25:17 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the 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\">11:25:25 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:25:35 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.027</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:25:43 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.026</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:25:49 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.026</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:25:56 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:26:01 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.036</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:26:51 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.035</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:27:10 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.034</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:28:46 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_2 = web.Batch(simulations=SOIs)\n",
        "batch_2_data = batch_2.run(path_dir=\"./heat_data/\")"
      ],
      "id": "834f1cb1"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Plot and Compare Data\n",
        "\n",
        "Here we compare our simulation data with the data stored in Dataset 4\n",
        "from Pant et. al. (This data is available in the linked paper, displayed\n",
        "in figures 8a and 8b). Tidy3D achieves a very accurate alignment with\n",
        "these results. This data captures the discontinuity in medium between\n",
        "the reference waveguide and the cladding near $x=0$. Due to the large\n",
        "number of data points rendered from Pant et. al., we plotted every fifth\n",
        "point so as not to overcrowd the plot with the plotting markers."
      ],
      "id": "98abf345-f959-430c-bfff-8345708f831c"
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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F8PT0RHBwMJo2bYqxY8fqzGiqrKzE/v37cfLkSSQnJ0MgECAgIABdu3bFlClTNGZMzZ49\nG9euXUN5eTkAYP369di3b5/SmJeubxJDXioFBQUMAAYAU1BQUNPLIYQQQixGIihnqrLzmKqMbKYq\nJZOpSk5jxM9eMOJnL5iq5DSmKjWTqcrIYSRlgppeKiG1SmJiIvPw4UMmMTGxppdSK1y9elX+7/3/\n/ve/esf/9NNP8vGVlZUaxzx58oRp2LChfJzinwYNGjBPnjxhhg8fzgBg+vXrp3Tv5MmTGQBMQEAA\nIxKJtK5DIpEwERERDABm8ODBxr1ohmF27dolX9Phw4fVrh8+fFh+ffv27QbNmZGRwbBYLAYA07Vr\nV6PXZKhmzZoxAJi2bdvqHPfhhx/KX0NGRobStXHjxjEAmG7duumcIyYmhgHADBkyRO3a559/zgBg\neDweU1ZWxrz22msav+a9evVihEIhwzAMc+rUKcbd3V3juFWrVhn5mdDs559/ZlxdXTU+AwDTsmVL\n5tmzZ2r3tWjRQus9xvyR/b2oqqpi5s6dq3f8999/r/F1XL16lWnQoIHW+5ydnZmff/5Z7b5+/frp\nfeby5csN/nya8jPZ0nEEykgihBBCSI0T7TyCyoOngEqx/sEcBzgO7wfu5OHWX5gFxd19jGcJKais\nrISEYcBIGEgYCSQSBgzDgM1mgc1mw8HBAb7ePHTq2Bo+3pqzBAghxFBFRUXo378/UlNTweFw8M47\n72D48OFwdXXFrVu3sHLlSowcORL16tXTeP/s2bOxbds25OTk4NChQxgzZozGcefOnUNCQgIAGJVZ\nUVFRgT/++AMffPABAGDw4MEYOnSoka9Ss+DgYDRu3BhPnjzBzZs3IRQK4ezsbJG5ZcRisfx1N27c\nWOfYRo0ayT9++PChWgmcJb3//vu4ePEiVqxYgV69eqGqqgp79uzBhg0bcP78eXz++eeYPHkyhg4d\nik6dOmHOnDkIDw9HcnIyli1bhsePH+OTTz5BdHQ0WrdubfI6Nm3ahNmzZwMA6tevj48//hiRkZEo\nKyvDoUOH8PPPP+P+/fvo0aMH4uLiEBQUJL93//79KC8vx/r167Fp0yZ4eXnh7NmzGp/z559/YuXK\nlQCAmzdvKmUgybKvNm3ahPXr1wMAYmJi8OabbyIsLAwsFgtpaWl4/Pgx9uzZAz6frzb/lStX0K9f\nPwiFQoSGhmLOnDno3LkzXF1dkZCQgHXr1uHq1auYPXs2XF1d8eabb8rv3bhxI0pKStC1a1eUl5dj\n7ty5an9HrPm9YA0USCKEEEJIjapKTkPlnuOG3yCuQuX+k2BHtQCneYT1FmZBz19k4PqNewaPLy0V\noFRQjjEj+oPFYllxZYSQV91nn32G1NRUANIyuOHDq4PwXbp0ke/6Fhsbq/H+Ll26oFWrVrh37x42\nbdqkNZD066+/AgACAgJ0BoJk5VeANMiVkZGByspKBAYG4rPPPsPSpUtNep3atGzZEk+ePIFIJEJm\nZibCw8MtOn9eXh4qKysB6A8GKJY9WXPnrpKSEuzevRvXrl1D06ZN5ed79eoFsViMX375BT/99BPO\nnj2LkSNHYufOnWCzpe2TO3bsiJ49e6Jx48YoLS3Fhg0b5F8vY+Xk5ODdd98FIP06XLx4EV5eXvLr\n/fv3R//+/TFy5EhkZWXh3XffxZ9//im/LisxCwwMBCAtHdRW2nbp0iX5x23atNG469+2bdvkzz1+\n/LjG/78uW7ZMrZ9WRUUF3njjDQiFQnTt2hXHjx9XKgft2LEjxo0bh0mTJmH37t149913MXLkSLi7\nuwMAGjZsCADyz3FQUJDeJvr2jgJJhBBCCKlRVdfumnRfxfKfwf7hY7CDAyy8Ist7mvDC6Hvy84tw\nK+4h2rRuAkc73dJbo0ohIKkEJGJAUvX/f8QAwwAcJ8DBEeA4A46WzQqwtrSCLExc8x6eZD836j5P\nF3ccWLgBLcN0Zyq87IJmd67pJdhE1s+mN4GuCeXl5fj9998BSHc0UwwiyQQGBuL777/XuavZrFmz\nMG/ePJw6dQovXrxQy14qKCjAgQMHAACTJ0+Go6Oj1rmysrJw9676z/3IyEi0a9dOYwDAHN7e3krr\ntHQgqbS0VP6xq6urzrGK1xXvszSJRIL//Oc/SkEkmXfeeQe//PIL+Hw+7t+/jxMnTsgDHDLBwcEY\nNmwY/vjjD5w7d87kdWzevBkCgQAA8NNPPykFkWSGDx+O8ePHY9euXdi/fz/S09NRp04dk5+piyx4\n16FDB52/pPHw8FA63rFjB1JSUsBms7F9+3aNPcUcHBywbt06HDx4EIWFhdi/fz+mTJli2RdgR2jX\nNkIIIYTUKPH1eNNuFJRDuGw9mAqRZRdkYUVFJUh+nmbSvTdvP8TeAydRXGy9NxwWIRIA51cBXwQD\nXwQAy+sAX9UDvmkAfNsI+G8zYFVzYGVD4Ksw6ZgVocCltdJ77dyeq0cR9Z8RRgeRAIBfXor+X0/G\nf3b91/ILI0SPGzduyLMrJk6cqHXcsGHDtDbcBoBJkybB1dUVEokEW7ZsUbu+bds2VFRUAACmTZum\nc02zZ89GXFwc4uLicPHiRfz000+IiopCbGwsRowYgXnz5oFhGENenkEUg1oikeX/fyEWV5dk69qZ\nTvW64n3W8Prrr2s836JFC3ngKDo6WinQpkhWzpaYmGjyGk6fPg0ACA8PR/fu3bWOe/vttwEAVVVV\nZgWu9GnQoAEAYPfu3Xj+/LnB9x0+fBgA0LlzZ/kcmvj6+qJt27YAgKtXr5q+0JcABZIIIYQQUmOY\nkjIwyaYFWQCAycqD+MJNC67IsirFYhw+fg7mvCfi88twNPYCKq38psNk+YnAui7AqS+ByjLD7xMW\nAycWS+/NN/2NirWlFWRhwdblZs+z5fx+bDt/0AIrIsRwT58+lX/cpk0breM4HA5atmyp9TqPx8P4\n8eMBAFu2bEFVVZXS9U2bNgEAunXrpjELRpGsrCcyMhLdu3fH7Nmzcf36dcybNw+AdEcrU0upNCkq\nKpJ/rC1oYg5Z+RKgvAW9JrJdu1TvszQul4v69etrvObo6Ag3NzcAuns6yT5XYrFYad3GePLkCQDI\ngyvatGvXTu0ea5g1axYAIDk5GY0aNcLAgQOxatUqXLt2TV6eqIksg+7Ro0eIiopCVFQU2rdvj/bt\n26Ndu3byP23btsWDBw8AANnZ2VZ7HfaAAkmEEEIIqRFMhQgV2/4yex57DiQlJKSgrEz3GwtD8Pll\nSEhMtcCKLEwkALaOAgqSTZ+jIFk6h51mJk1e/6HF5vp417fILy2y2HyE6FNcXCz/WF8QRd91WcPk\ntLQ0nDhxQn7+ypUr8jfPpm5fzmaz8f3338t7CK1du9akeTRJSUmRfxwQYPlSaMVyrfz8fJ1jCwoK\nNN5naS4uLjqvyzKSdJXiKZa7KQYOFy9eLA8Eqv757bfflOaQff/p+97y8fGRl5opBv4sbfTo0fj2\n22/h6uoKsViM2NhYfPTRR+jSpQu8vb0xfvx43Lp1S+0+2detsLAQt27dwq1bt3D79m3cvn1bnl0X\nFxeHO3fuyDMATQ2+vSxeooJ7QgghhLwqJJk50rK0rDzz50rLAlMhAsuJa4GVWVZCkuWCPwmJKWjW\nxLK9PcwWv9e8IJJMQTIQvw+Immz+XBYkEAnxMD3BonMu/XM1Nkz7wqJz2oOXrXdQbaG4Q5lQKASP\nx9M6Vl82TYcOHdC2bVvExcVh06ZNGDJkCIDqJtseHh4YO3asyWvlcrno2bMndu/ejUePHqGyslJn\nryVDVFZW4vbt2wCAiIgI+Pj4mDWfJu7u7ggODkZmZqbecinF6/p2eLNXL1680NjjClDPwnFxcUFp\naam87FEboVAoL2fUFwQz18cff4wZM2bg4MGDOHv2LC5evIgXL16grKwMf/75J/bt24eNGzcqlWg6\nOTkBAEaMGIHPP//coOfoKhV9FVAgiRBCCCE2xVSILBZEAgAUFKN8wVdwXjbX7hpvCwSW+41kebnu\nf4jXiPj9FpzL/gJJf145YvE5j8T9gw149QJJxD4pNi1OSkqS736liSG9cGbNmoXZs2fjyJEjyMrK\ngqurK/bs2QMAGD9+vLxkylRcbvUvBCzRJ2nfvn3yzJC+ffuaPZ82kZGRyMzMxO3btyGRSNSaV8vc\nuHEDAODm5oZGjRppHCORSHQ+S19Qxtq+/vprfPih5kxNxV3pZMe5ublISNAdkFe8rjqHNXh7e2Pq\n1KmYOnUqACA1NRV79+7Fl19+ieLiYixYsABjxoyRB15DQ0ORm5uLnJycl363NUuh0jZCCCGE2JT4\n/A3LBZH+H5OVZ5eNt9ls3Y1XjeHi4mSxuSymLMeCc+Vabi4L+fWfP/UPMpJIXAmByPxyR0IM0alT\nJ/nHiuVoqp48eWJQ8+EJEybA3d0dYrEYv//+O3bu3CnflcvUsjZFd+7cASANgCkGlUxRVlaGL7/8\nEgDAYrEwf/58c5en1WuvvQZAWpZ14cIFres5c+YMAGDgwIFad6dLTdWdyWpO82tLCAsL01raplo6\n2KVLFwDAzZs3kZOj/f8XR45UB+27du1qnYXrEBoaivfffx9r1qwBAAgEAnkmGwD06dMHAHD9+nW8\neGH8Lqwysq+5vmDhy4ACSYQQQgixKfFF9f4DlmCPjbe5XMslf0c0DLPYXBbjZsEMMDd/y81lIc9z\n060y756rR60yLyGqgoOD5W+C169fr/XN/NKlSw2az8PDAxMmTAAgbbAtK2tr2bIlOnbsaNZa9+zZ\ng/h46S6ew4cPN2uu4uJijB07Fo8fPwYATJ06VWczcXO9/vrr8i3jV6xYoXHMmjVr5P1zdO1sl56e\njri4OI3XTp8+rTfQZE8mT5ZmmYrFYnz22Wcax+Tm5uKHH34AADRv3hwdOnSw2fpUKZY+KgYyZ8+e\nDQ6Hg6qqKrzzzjtqzeYNJctw0tdL62VAgSRCCCGE2BRTXGK1ue0tkCS0UIaUi4sTIhqGWmQui2o9\n2oJzjbHcXBYgEAkhYazzW+ONZ/6wyryEaPL111+DzWYjPz8f0dHR8qwfQNo8WFaq1qpVK4PmkzXd\nTkxMlAc8dAVGAGlJ3G+//YasrCy1a5mZmVi2bBnefPNNANKyoyVLlhi0FkUMw+DJkyf49ttv0aJF\nCxw/fhyANJtkw4YNWu+bPHmyPKPGVL6+vli8eDEA4MyZM5g1a5a80XRVVRU2btyIZcuWAQD69++P\nQYMG6XwdEyZMwLVr15TOHT9+HJMmTZKfS0szfcdTW+nSpYu8b9bGjRvxwQcfgM/ny6/HxcWhX79+\nyMvLA4vFwvfff2/V9YwbNw6bN29GamqqWunkv//+i48++ggA4Ofnh6ioKPm1iIgIeSDs+PHj6Nu3\nL65cuaI2R35+Pvbu3Yu3335bY+aS7O/YkSNHXvpgEvVIIoQQQohNsXgeMKjzhRMXLH8f6disPEAs\n1nuLNYNUxhKJKlFYyNc/0ADBQf5w1FIGUaNajwWOfQqISs2bx8nT7gJJ2y8etNrcyTnWyXQiRJPO\nnTtjzZo1mD9/PuLj49G2bVuEhobC1dUVSUlJEIvF+Pnnn3Hs2DHcu3dP73xt27ZFhw4d5P1+uFyu\nPAikzdGjR/HLL78AkDYuDgwMhIeHBwoLC5GRkSEfFxoaioMHDyI4OFjnfIsXL8aqVasASIMsJSUl\nyMvLk2f8ANJG45988gmWLFmitYwMAJ4+faq1ebQxPv74Y9y/fx87duzAL7/8gm3btqFevXrIzs6W\n70TWvHlz7N69W+c8ERERyM3NRZcuXeDl5YWQkBBkZmaisLAQLi4uGDlyJA4ePIi7d++iYcOGmD17\ntjwAYo82bdqE7OxsXLhwAT/88APWrVuH8PBwlJWVyYNhbDYbq1evxsCBA626lv3798t7enG5XAQG\nBsLd3R3Z2dnyndmcnZ2xdetWeYNtmaVLl6KiogJff/01Lly4gG7duoHH4yEkJATl5eXIzs5W2qnt\nk08+UXv+tGnTcPToUSQlJSEkJAQNGzaUZz7NmzfPIuWhtkIZSYQQQgixKU6P9gaN484YC9f1S+G2\nfinYzRsadA+L52HO0iymUizGzdsPlM5xHR0RFOQHN1cXOHEd4ebqgqAgPzRuVA8hwf7w9vKEF88D\nXl4ecHdX3pI5J7fAIo1nLc7RBeA46x+nj7s/wNW+DXVNWHPsd6vOn19aZNX5CVE0b948xMbGysuG\nUlNT8eTJEzRu3Bj79+/HzJkzjZpv1qxZ8o9HjBgBX19fneM3b96MefPmoXHjxqisrERKSgoePHiA\njIwMcDgctGvXDt999x0ePHiA9u31/z8iJSUFd+/exd27dxEfH4/k5GSUlJQgMDAQgwcPxpo1a5CR\nkYFly5bpDCIB1Vu7R0REGPDKtWOxWNi+fTs2b96Mli1bQigU4smTJygqKkJQUBA++eQT3LhxQ+/n\nKjAwEP/88w86d+6MoqIiPHz4EIWFhWjXrh3++ecfbNiwAeHh0h0809LSzG5wbm2enp44ffo01qxZ\ng2bNmkEkEuHJkydIS0uDk5MTBg0ahEuXLmHBggVWX8vevXsxc+ZMhIeHo7KyEqmpqXj06BEKCgrg\n5eWFSZMmIS4uDoMHD9Z4/4oVK3D9+nWMHz8e3t7eKC4uxqNHj/D8+XOUl5cjMDAQ48ePx++//476\n9eur3T9y5Ej8/PPPCA8Ph0gkwqNHj+Tfx5qy9ewZi7HLf5UQbQoLC+W1mwUFBfD29q7hFRFCCCHG\nYSpEEMz8DCjSnj3ECvKDy4+LwXKS/qau8uRliNbrLwfizpsIx2jbN+pUVFxciqOxF8Dnl6ld8/R0\nw5CYnuDx3HXOIRZX4bftf6Gqqrq06o2xg/TeZ3P5ScDqyOpjFhtwDwTE5YCjK+BdX/qnOBUoywMk\nEoAFgGGAvKfKc4V1AdpNkGY51XBQSSASosGC3gaPd2CxsWLc+/h09yqD7xnVIQYbpr0cu7clJSWh\noqICTk5OaNCgQU0v55UnEAjw9Kn070edOnXg76+7f1h+fr68b44h5VkFBQXIzs6Gv78//Pz85OeT\nk5NRXFwMDw8PNGyoO3i/c+dOeZnVyZMnER0drfe5MlVVVcjOzkZhYSHc3NwQHByslv2hCZ/PR1JS\nktp5R0dHeHp6gsfjGb3l+osXL+Rv+Pfv349Ro0YZdb8uss8zj8dDUFCQ1p3cZMaPH48///wT3bp1\nw6VLlwBIv7Y5OTnw9fVVamRdWVmJ5ORkhISEwN29+v8LWVlZyMrKgoODg85SxXv37qGqqgpBQUEI\nCgrSuv6UlBQAQOvWrfWu31AFBQXIyckBl8tFnTp1DPray14Xh8PR2usqLy9PnuFkyN8DkUiEzMxM\nlJaWwsvLS2mHQ0NIJBJkZWWhqKgIHh4eCAwMNKpBfG5uLnJzcyESSUvgg4ODde6qqMiUn8mWjiPY\nYY40IYQQQl5lLCcuOB1bQXzyiubrQX5wXjZXHkQCAE6vDqjcf1Lnbm+sID9wekZpvW4LlWKx1iAS\nAPD5ZTgaewFjRw3QWarG4TggKNAP6RnVjXHTM3PsL5D04qrycXgPYOph/fflJwI/dgaqFLaxTrkq\n/XPhB2DKAcDXsCw0a/jzyhH9gxQMadsX47oONSqQdCTuH2zAyxFIIrbl6upqVL8eX19fvVkuinx8\nfJSaCsvIslwMsWXLFgBAvXr10K9fP4PvAwAHBweEhIQYvc27p6enxbdel+1k1717d4sGkQDtn2dj\naPvaOjo6onHjxmrndQWGFBnSD8sS67fUvIa8Lj8/P6XAqD5cLhf16tUzah2K2Gy2Sd/HMv7+/nqD\nxPaMStsIIYQQYnOSdJWdg/y8wW7dBNx5E+Hy42Kwg5V3A2M5caXBpSAt/0h0YKsFn2pCQkKK1iCS\nDJ9fhoRE/bvuhAQr/wMzN6/QrLVZRcp15eN6nfXfIxIAW0cpB5EUFSRLr4sE5q/PRJvO7jFq/DcT\nPoQr1xk+bjyD7xGJKyEQCY1dGiE17unTpzh79iwAYObMmRbLVKkJJ06csEmTZ0JeNS/v33pCCCGE\nvJSYqipIninvZuLyzUK4LF8Ax+iuWoNB7OAAuPy4GNx5E8Fq2Uj5YpUELBcXay3ZYAlJhm3LnJCY\noneMt7dyiUZCYgoePU5CpQFNx20m5Zrycb0u+u+J3ysNFulSkAzE7zN9XWZKycvQP0iBr7sXAODd\nwW8Zdd+eq0eNGk9ITSspKcG8efPAMAw8PDyUeiW9jL755hvcv38fHTt2rOmlEPJSoUASIYQQQmxK\n8iIDEFXKj1nenmD5G5bmznLiwjG6K1y/eg/shmFK16qePbfkMk1SXm5Yhkl5uZZsnP9XXFyKK9eU\ndxGqrBTj/KVb2HvgJIqLzdwlzRKExUDuk+pjFguoa0BpYfx+w+avoUCSQCREZZXhwbrwgOq+Gm/2\nGGnUs379R/fuTYTYi3HjxqF169YICQnBqVOnAACff/65USV19qhp06Zo3rx5TS+DkJcOBZIIIYQQ\nYlOSJ8rZKOzG4WCxWEbPw25cX3nepy80D7QhFxfDdjBzcdHeXFTWZ6m0VHNpl6zPUo1mJokEwD8r\npU2zZTyCALYB7TfLcvSPAYCyXNPWZiZj+yPN6jdB/rEr1xmODoa3IH2Ra1zmEyE15cmTJ7h37x5K\nS0vh7u6OFStW4P3336/pZRFCagg12yaEEEKITakGfFQDQoZiN64HHFeY1w4ykiIahCo1yNY6TiWb\nSpExfZaaNTG8Oa7F5CdKexiplqfxM4F1XfQ3ynYLAPBQ/3PcaqYJqbH9kV7vMkTpOMwvBInZ+ksX\nAUAsqTLqWYTUlD///BPl5eXw9PREWFgYODo2CyCm+fbbb7Fo0SKlXdgIsVeUkUQIIYQQm6pS6Q/k\n0Eh7UEUXh0b1led99gKMYoZMDYiICIOHh+6t6z093RDRMFTrdUv2WbI4WaNsbT2ODGmU3Xq0Yc9q\nPcb49VmAMf2RuBxHuHKVs9Cm93ndqOfllxYZNZ6QmtCkSRNERkaiQYMGFESyknr16iEyMhIRERE1\nvRRC9KJAEiGEEEJshhFWgEnNVDqn2uvIUKw6AYCrwpv4UgGYzJoph5Jx5HDQtVOk1uuenm4YEtMT\njjreiFmqz5JVWKJRduuxgI+eTCqf8BoJJBnbH2lo275q58Z1HWrUM5f+udqo8YQQQkhNo0ASIYQQ\nQmxG8iIDkFRnDbGC/cFy153Bow2LzQY7op7y/E+fm7M8i6ioECkdOzpyUCckAL16RGHsqAHg8XSX\nLViiz5LVWKJRNtdVWv6mLZjEqyu9zjXt+8IcxvZHWj5uodo5V64znBw17zyoybE7Z416JiGEEFLT\nKJBECCGEEJuRPE9XOmaH1zVrPofGyoGkqmc133A7L79I6bh1y8Z4bXAvNGsSrjMTSSaigfayN6Vx\nJmZymcVSjbJ9GwLzrgIj1gHOXsrX+i/R3WPJiracM26nOF93L43nh0T2NngOYaVI/yBCCCHEjlAg\niRBCCCE2I0lWCSTVr6NlpGFY9ZTvF5+9jsqTl8FU1Nyb8/yCIqVjP18vo+6PiAiDp6ebzjH6+ixZ\njVuAgeMMaJTNdQWiJgNRU5TPZz0wfl0Wkl6QZfBYXbuzLR9Hu1kRQgh5dVEgiRBCCCE2I3lhuUCS\nJDMHoq1/KZ8sK4do/R8oX/AVJJkGZs9YEMMwyFfJSPI1MpDkyOFgSExPrcEkR0eO3j5LVmONRtl1\n2ykfp982/F4LM2YXtTC/YK3XtGUqaSMQGdYXixBCCLEHFEgihBBCiE0wDKNe2mZiIImpEEG4bD2Q\nV6j5elYehMvW2zwzqaRUAFFldbNmLtcRHib0gOLx3DF21AD06hEFXx+e0jUPDze9fZaspvVYwLu+\n7jHGNsquoxJIenEF2PwacHOr7t3frIDFYhk8dkbf8TqvOzo4GjzXXzdOGjyWEEIIqWkUSCKEEEKI\nTTA5BYBAIfPC1RmsAB+T5hKfvwEmK0/387LyIL5w06T5TaWWjeTjZVRwQpEjh4NmTcLx2uBeSueL\nCvkQiw3PnLEoriswdJX26z7hxjfKrqoEWAr/JGUYIPk88Nd8YF0XID/R9PUaQSASorKy0qCxbBYL\nr3cZonOMrowlVQcpkEQIIeQlQoEkQgghhNiE5Hma0jG7fh2Tgyzii7cMG2fjQJJqo21fX57mgUZw\ndnZSymqSMAzyC4rNntdkohLlY64b0KC3tHH2vKvGNcoWCYBtowFGovl6QTKwdZRNMpMO/hsLCRj9\nAwG0qdcMrlzdu+tN7/O6wc/OKLR9GSYhhBBiKgokEUIIIcQmJM8zlI7N6Y/EFJfoH2TEOEtRzUgy\nttG2Nv5+3krHefmaS/psQrUZdoe3gal/SxtnG5OJBADxe6XBIl0KkoF443ZTM8VfN08ZPPbNHiP0\njhnXdSicOFyD5ksvyKY+SYQQQl4aFEgihBBCiE1IktUzkkzF4nlYdJyl5Knu2ObjZZF5VRt2Fxby\nLTKvSbIfKh8HtjB9rvj9Bo6zfiApl29YcM7RgYMRHQboHefKdcb7Q6YaNKewsoL6JBFCCHlpUCCJ\nEEIIIVbHVIhQ9VC5140kO9/kZticHu0NG9czyqT5TVFaJkBpqXIJVnZOPirFYi13GM7by1PpuLDI\nngJJzU2fq8zAkq6yXNOfYSB/T2/9gwC0qddUb1mbzIx+4+HsaFhWEvVJIoQQ8rKgQBIhhBBCrEqS\nmQPB/BWASpmZeP9JlC/4CpJM4/vDcHp1ACvIT+cYVpCfzQJJxcWlOHDojNr5i1fisPfASRQXl5o1\nv5dKIKmoyLYle3IVJUDh8+pjFhsIaGr6fG4BBo7zN/0ZBhoRFW3QuAndhhk8pyvXGSHegQaNzSup\nwXJFQgixgfLychQVFaGoqAhVVZo3jRAKhfIxYgv8IoZYBwWSCCGEEGI1TIUIwmXrgex8zdez8iBc\ntt7ozCSWExfOy+ZqDyZ5eUivOxmWDWKOSrEYR2MvQCDQ3OOGzy/D0dgLZmUm8TzdwVZoTF4mKIdI\nZNgOYxaV80j52LcB4Ohi+nytRxs4bozpzzDQyI4xqOcXonNMff+6BpW1KarjY1ggyc/DsIwo8uqp\nqKiQv3FW/MPn8yGRaGlET6yGYRgIhdSzzFKSkpIwYcIE+Pj4wNXVFd7e3vD29sa9e/fkYzIzMzFt\n2jQEBgbCxcVFPub06dM1uHKiCwWSCCGEEGI14vM3wGTl6RzDZOWZtLsaOzgALj8uBnfeREClh5Dj\nwB5gBxuY7WKmhIQU8PllOsfw+WVISEw1+RkODmx4erornSusiaykLAv2RwKA1mMBn3DdY3zCbRJI\nyi7KhVjHm/Y6PoHYNX+1wWVtMoZmOo00MkBFXh2rV6+Wv3FW/MPj8cDhcFC/fn1MmTIF169fr+ml\nvrJEIhFWrVqFNm3awMnJCS4uLvDx8cH48eNx48aNml7eSyszMxOdO3fGrl27UFhYCEdHR/B4PPB4\nPDg4OAAA+Hw+unXrhi1btiAnJwccDkc+xtHRsYZfAVBZWSkP7jKMYTt71gYUSCKEEEKI1Ygv3jJs\nnAmBJECameQY3RXcMTFK5yWZ1u+pI5OQZFiAKCExxazn2EWfpBwL9kcCpLu8TTmgPZjkEy69buxu\ncEYSiIR4Y+1CpBdkaR3jwHZAoJfxJXYjO8agvn9dnWNMyXQiryZ3d3f5m2gPD+lmAS9evMC2bdvQ\npUsXfP755zW8wldPfn4+OnXqhI8++gjx8fGorKwEl8tFYWEh/vzzT3Tt2hUbNmyo6WW+lNasWYPc\n3Fy4uLjg3LlzSmVrrVq1AgBs2bIFycnJYLPZOHTokNKYfv361fArAA4dOiQP7qanp9f0cuwGBZII\nIYQQYjVMsWFZM4aO04ZdN0h5vjTtAQFLKy83rASivLzCrOd4eSnvQFdUE4EkS2ckAYBvQ2DeVaDd\nZOXzQS2l530bmv8MPQ7+G4vnuWk6x6TkZZi0s5or1xm75q/WGkzydffGb7NWGp3pRF5NFy9eVCpt\n4/P52LZtG3x8fMAwDL788kvs2rWrppf5ymAYBqNHj8adO3fA4XDw3XffoaSkBEKhELdv30anTp0g\nFosxf/58xMbG1vRyXzrnz58HAAwdOhS9evUCm60efpCN6datG4YNGybPVCL2jQJJhBBCCLEaFs9D\n/yAjxmm9P1S5D40kLRuMjXqLuLgYFgBwcXEy6zmvZEaSDNcV6DxD+VxFqdUzkWT+unnKoHGm7qwW\nHhCKLbNXwt1Z/fXklxbi7Y2LkJxjeukjeXW5u7vjzTffxOHDh+XnVqxYUYMrerXs27dPHsj49ttv\n8dFHH8Hd3R0sFgtt27bFqVOnEBYWBolEgvfff19rg2iiWXZ2NgCgTp06Zo0h9ocCSYQQQgixGk6P\n9oaNM3N3NZaXJ+Cm0PS5QgQmzza7YEU0CDVsXMMws57j7a0aSLJxj6TyQqBMod8Vx0l/fyNj+DeW\n7gInU/hcGkyygVy+Yd8rpu6sJhAJMfXnRSgVCjRef56bhjfWLoRARA1+iWZdu3ZF586dAQAPHz5E\nVpb2rEuBQPP3mTZ8Ph9FRUUoLy9Xu2ZO02mGYYxai651lJWVobTU8j8PZCVrgYGBmD9/vtp1Dw8P\nfPzxxwCkn3dZ0EmRLINMJNK+aQTDMPJxlZXqGyXoeu265pWprKy0SZDLkK9nVVWV/LVWVEgzccVi\nscaG8oqvWSKRKJ3X9ayqqiqjv88VVVRU6N0RTvY1U3yO7Ouk+Ke29k2iQBIhhBBCrIbTqwPgr3s3\nKlaQn/mBJBZLrbxNYqPytoiIML3ZRp6ebohoaFjASRsvlaytkpJSiMU2/O143jPlY58GANuCJQiO\nLtJd4BSp7hJnJf6ehu2YZurOaoaUzj3PTTOpdI7UHi1aVJeSynq1ZGVlYfPmzRg1ahQaNGgAFxcX\nuLm5gcvlon379vj6669RUqI76Ny6dWt4e3vj008/BQCcPHkSffr0gaurK1xcXBAQEIAZM2YY1B8m\nIyMDH374IZo1awYulws3Nze4uLigZ8+e2LJli85gh+o6Ll68iNdeew08Hg/u7u4YOHCg3ucbo7Cw\nEBcvXgQADB8+XGtj5zFjqpv9Hzp0SOmaUCiU98/Ztm2b1mdlZ2fLx6nOAai/9rNnzyI6Ohpubm5w\ndnZGeHg4Vq1apRT8KC0txfLly9GwYUM4OzvDyckJXbt2xZkzZwz/JOhRUlKCFStWIDIyUv71dHZ2\nRpcuXbB27VqNQa64uDj5a83IyAAArFu3TmNDeW9vb9y5cwcAsGfPHqXzM2fOVJo3ISEBM2fORP36\n9cHhcODm5gYPDw80btwYU6dOxcmTJ7XucsgwDPbt24chQ4bAy8sLzs7O4HK5CAsLw8yZM5GQkKB2\nT3p6Ory9vTFlyhT5uRYtWqitv7b2TaJAEiGEEEKshuXEBXf8YO3Xg/zgvGwuWE5cs5/FDlXpk5Sa\nbfachnDkcNA4or7W656ebhgS0xOOHI55z3HkwN29ujSKYYBivm0ydgAAeSr/0PZrZPlnqPZcyn6o\neZyFWXtnNWuXzpHaQTEII+sjs2jRIkyfPh0HDx5EcnIyRCIRHB0dUVlZidu3b2Px4sWIiopCSoph\nzf5/+uknDBw4EOfOnQPDMGCxWMjNzcWmTZvQqlUr3LypfWOEvXv3olGjRvj+++/x+PFjVFVVwdXV\nFUKhEBcvXsS0adMwYMAA8Pn6y3I3bdqEPn364MiRIxCJRErNxy3l7t278s9pp06dtI4LDAxE/fr1\nAQC3b9+26Bo0+e233xAdHY3Tp0+DYRgwDIPnz5/jo48+wvTp0wEABQUF6NevHz777DM8f/4cjo6O\nqKqqwtWrVxETE6NUCmmqhw8fomXLlli6dCnu3r2LyspKuLi4oKKiAteuXcOCBQvQqVMnZGZmKt2n\nuOsai8UCADg5OcnPqf6RfS8r7ujG4/Hg5uYmn/PMmTNo3bo1fv31V7x48QIA4OLigtLSUjx79gy/\n/fYbYmJiNH6fFxUVYcCAARg7diyOHTuG4uJiODs7w8HBAampqfj111/RqlUr7Nu3T+k+NpsNHo8H\nV9fq/+96enqqrV9T36faoHa+akIIIYTYjmqTaTcXsFs3AXfeRLj8uBjs4ACLPEYtIyk1U8tIy5Ol\n78u4ujijTkgAevWIwthRA8DjuVvkOTXaJ0ktkBRh+WcENFV55jPN4yzM2jurWbt0jtQOcXFxAKQZ\nmKGh0gzHkJAQzJs3D2fOnEFaWhpEIhGEQiGeP3+Ozz//HK6urnj69CkmTpyod/779+/j3XffxZQp\nU5CUlITy8nKUlJTgl19+gYeHBwoLCzFs2DAUFqp/n8bGxmLcuHEQCATo3r07Tp8+DaFQiLKyMuTl\n5eG7774Dl8vFP//8g6lTp+pcx4MHDzB37lxMmTIFCQkJKC8vR1FREY4fP27CZ027x48fyz9u0KCB\njpFAeHi42j3W8PDhQ8yZMwcLFixAeno6BAIB8vLy5AGkrVu3IjY2FjNmzEBmZiYOHjyI8vJyCIVC\nXLhwAXXr1kVVVRVmz55tUEmcNoWFhRg4cCBSUlLg4uKC1atXo7CwEAKBAJmZmVi0aBFYLBbu3LmD\n4cOHK5XrRUZGysu+QkJCAADz5s3TWtoWGRkJAHj99deVzm/cuBGAtOTt7bffRnl5ORo2bIjDhw+j\ntLQUAoEAQqEQiYmJ+P333xETE6PWqLuqqgrDhw/H6dOn4eLigq+++gqpqakoLy9HRUUFLl++jK5d\nu0IoFGLixIm4dat6p9mQkBAUFRVh69at8nMPHjxQW7/sNdY25v1qjBBCCCFED9USM8fRA8Adbfmt\nzlkqGUmSdNtkJAHq/Yp69+yAMJX1WIK3lwdSFT6fxWbudmcwkQB4dlr5XEm29LwlG2KrZjmpBq+s\nxJXrjO1zVqHHF+M1Xq/vXxe75q82eWc1f09vPM7QP87U0rnaRCAS4uC/sfjr5ink8gvh7+mNEVHR\nGNkx5pXe+e7w4cO4e/cuACAqKgq+vr4AgK+//lrj+Hr16mHZsmXo1KkTBg8ejEuXLuHy5cvo1q2b\n1mecOXMGU6ZMwW+//SY/5+bmhhkzZqB+/foYMGAAMjMzsXLlSnz77bfyMSKRCFOnTgXDMBg0aBAO\nHz6s9Ibe19cXH330EcLCwjB+/Hjs378fV69eRZcuXTSu4/Tp05g1axZ+/vlnwz9BJsjPz5d/7O/v\nr3Os7HpBQYFV13Tq1Cl8+umnSl9XX19f/PLLL7h69SoePHiAGTNmoLCwEHfu3EHDhtW7Wvbo0QMb\nN27EkCFDkJGRgZMnT2Lo0KEmreObb75Baqp0A4A//vgDI0aMkF8LCgrCN998A3d3dyxZsgQ3btzA\n5s2bMXv2bNNetB7x8fHytWzevBm9evWSX3NyckKDBg3QoEEDpRI0mZ9++gkXLlyAg4MDYmNj0aNH\nD/k1NpstLwXs0qUL7ty5g//85z+0O5+BKCOJEEIIIVYlSc9ROmbXDdQy0jzsOio7t9kwkKQa0PHy\nsmwJhgxPpU9SkS0abucnAuu6ABl3lM/H7ZSez0+03LPUAkm2yUgCAC5HuT+KA9sBPZpG4Yc3/4N/\nlu5AeIDpPa6sXTpXWyTnpKLv8kn4YMc3uPj4Jh5nJOLi45v4YMc36Lt80iux811JSYk806GwsBCP\nHj3CV199hddffx2ANBvpyy+/NHi+QYMGoXXr1gCg9w0yh8NRChApio6OxuDB0jLl33//Xena3r17\nkZGRARaLhbVr12rdvn3cuHHyPk979+7Vug4ul4uvvvpK51otoaysTP6xs7PuIKSLi3QzB4lEYlaT\nZ308PT2xZMkStfMsFgujR48GAKSmpuKdd95RCiLJxMTEyEsAr127ZtIaGIbBli1bAAC9e/dWCiIp\n+uSTT1C3rjSTc9OmTSY9yxCKGb/e3sYF29esWQMAmDhxolIQSZGzszMWL14MQBrE1JRxR9RRIIkQ\nQgghVsWkKQd02HUsn6kDAKwAX0CxD1FxKZhS6/2DX0YorICworqEwMGBDXc362xbr9pwu8jaGUki\nAbB1FFCQrPl6QbL0ushCn2dflTdGBclAle6ddSwlSSUI0T68Bfa+tw4Tug0zO9PF2qVztYFAJMQb\naxdqbVr+qux817NnT3kTXx8fHzRv3hxLliyBUCiEk5MTfv75Z71NpwUCgVLpTb169QBIy3J06dSp\nEwIDtQf6ZQGFnJwcPHtWHeQ9fVqardiwYUMEBgaitLQUJSUl8j98Ph98Ph/FxcVo06YNAN29hjp1\n6iTPuLIVfTtvKV6X9f2xhp49eyr15FHUqFF1oF3b94CDg4O8TC8tTXeDf20ePXokz9YaOXKk1nEc\nDgfDhg0DANy5c8cqu+oBQNOmTeXByVmzZsmbc+vz4sULeRPt3r17o7S0VOl7U/H7skmTJgCkgUJZ\n5h/RjUrbCCGEEGI1TFk5mMLi6hMObLCC/KzyLJYDG6xgPzCp1aVfkvRsODSx4Bb1GqgGc3ie7mCz\nrfNGw83dRek4L78IDx8lolGjemY389Yofq/2IJJMQTIQvw+Immz+85w9AfdAoPT/g48SMVD0Qj3A\nZAWqgSRzMpBUuXKdsWv+aq2BkHp+dcwqnasNjNn5bkK3YTZaleW5u7vL3zSz2Wx4eHigfv366Nmz\nJ6ZNmyZv+qwoLi4OGzduxLlz55CYmKh1W/OioiKdz5a9mTbkekpKijywIQsqJSQkGNwQW7GsTJVi\nwMSaFNcq24JeG9l1BwcHeXaSNch6X2mi2Hxalgmka5xixhWg++uv2BhbsWF106ZNtd0CAGjevDkA\naS+i9PR0vd9DpuDxePjggw/w3Xff4dq1a2jbti0aNGiAXr16oXv37ujXr588WKpIMdg5depUvb25\nZHR9b5JqFEgihBBCiNWolpexgv3B4lhwy3gV7DqBqFIKJOVYP5BUpFrW5qllpHmKi0tx9MQFpXMM\nw+DC5du4c+8JhsT0tFhTb7n4/QaOs1AgCZA28S5V+L7JS7BJIEk1SBGuJ4PIWOEBofhn6Q4c+DcW\nH+/8FhKmepvqvQvXIcw32KLPe9UYs/PdyxxIunjxorz5sCG+/fZbfPrpp0oZMxwOR74rFSDNUKqs\nrFTbFECVtkwYTdcVs0+Ki4vlz1UMduiiKxjj7m7hn2NaKPZFys7ORqtWrbSOzcrKUrvHGrhc7TuY\nKmZCGTJO8XtCLBbrLAvLzMxEUJA0W1gxAKXv66l43VoZSYC0Z5Ovry++//575OTkICkpCUlJSfJ+\nXj179sR3332ntPue7PsSUA7Q6mPNjLNXCZW2EUIIIcRqmAyV/kh1rNMfST5/iPIOcIwN+iSpZiSp\nlp9ZQqVYjKOxF1BSormEjM8vw9HYC6jUkolgsrIc/WMAoCzXcs/0VdkNLt82DbetmZEk48p1xqTu\nw9G8rvJrzCiwXT+vlxXtfKfu2rVr8iBSt27d8PfffyMrKwsikUip15Ks/EifkhLdpbKK1z09PdU+\n7ty5s9aduVT//Pvvv1qfY6s38s2aNZN/LCuB0iYpKUntnpcJi8VS27Ze2xb2iplafL7unUEVryt+\nT1gam83Gxx9/jPT0dFy8eBFfffUVBg0aJF/rhQsX0KNHD1y8eFHjev766y+DvzdHjRpltdfxKqm1\nGUlCoRApKSnIyMhAcXExeDwemjVrprMuWObUqVNKEU5t6tWrhw4dOlhiuYQQQshLh6kQQXzptto5\npkIElpP236aag6XacDvTwECIGWwRSEpISAGfX6ZzDJ9fhoTEVDSzZAaWWwCAhwaMs+Bv6b3DlI8v\nrQW47kDrsZbdIU6FWkZSgGUzkhQ1DAzD/dSn8uPE7Bfo3CjSas97FdDOd+p27doFhmEQEBCAU6dO\nac3yMbRXjr4eSorXZX14AKBx48a4cuUK4uPjUVlZCUdHR0232502bdrAyckJFRUVuHr1qtZdx1JS\nUpCeng4A6Nixo9b5RCKR1mvWzNYxhIODg97SRhnFr+29e/cwaNAgrWPj4+MBSDOkdJXlWQqHw0H3\n7t3RvXt3ANLP+fbt2zF79mxUVlbiyy+/xKlT0uzFxo0by++7desW+vXrZ/X11Sa1KiNJJBLh66+/\nRt++feHl5YUmTZqgT58+GDFiBPr06YOgoCC0bdsWu3bt0jnPwoULMXbsWL1/ZF3iCSGEkNpGkpmD\n8gVfoerGPeXzdx6jfMFXVgvwsIOV+y8xWdbvdVBcrPwGQXVnNUtISDJsN6qExBT9g4zRerSB48ZY\n5nn5icC1jcrn+BnAX/Mtv0OcAnGVGC9y05XONbBCRpK2uZ+rPJuoo53v1Mm2RG/atKnWIFJqaipu\n3bpl0Hy3bt3C8+fPtV6X7bRWr149pZ40skADn8/Hnj17DHqWPXB3d0f//v0BAIcOHdK6G5vie0Nt\nO5gBQGKi9p9PhjaItgcRERHyHky6vp7l5eU4dOgQAGmDdH0731kDl8vFtGnT5E3BHz6s/sVHvXr1\n5Blkv/32G6qqqkx+hoy2/mO1Ua0KJPH5fCxevBhnz54Fh8NBs2bNEB0djejoaHnE8s6dO5gwYQJm\nzpypd7569eph9OjRWv/oilgTQgghryqmQgThsvVgsvI0X8/Kk16v0P7bW1OxgpQzYyRZFiy50oBh\nGPBLVAJJnpbv71FebthOVOXlunugGK31WMBHT4aTT7hlAkmyHeJKtQQZLb1DnIK0giyIJdVvMvw9\nfeDubFivF1PU86ujdEyBJP1o5zt1fn7SwPm9e/c0blkuEokwY8YMg9/8MgyD+fPnQyKRqF37448/\ncOGCtEeb6vukUaNGyRtkv/fee3j06JFBzzKHRCKRlyJpCwAZ4t133wUg7afzxRdfqF3PzMzEf//7\nXwDS0r3OnTtrnWvXrl0aS8HEYjG+//57+bG5r90WZNlZt27dws8//6xxzKJFi5CXJ/3//Jw5c6y2\nFkM+X5mZmQDUe1gtWrQIAPD48WO89957Ru3OJ6M4pyx4S2pZIMnJyQlffPEFbt68ieLiYjx8+BAn\nT57EyZMn8eTJE9y8eRPt27cHAPz66696I+q9e/fGvn37tP5ZsGCBLV4WIYQQYlfE529oDSLJMFl5\nEF+4afFns7w9AUeFyv2ycjCllg88yAgEQlRVVb/p4nId4eRk+bIOFxfDftPr4uJk2QdzXYEJO7Vf\n9wkHphywTMmZMTvEWZBAJMTms3uVzrk5uVp1G3nVgMiLPNO26a5NZDvfaQsm1fevW+t2vpNlYRQW\nFiI6OhpHjx5FWloaUlNTsX//fnTp0gUPHz5ETEyMQfONGDEC586dw8CBA3Hu3Dnk5OTg0aNHWLp0\nKd566y0A0nKhhQsXKt3H4XCwe/duuLq6Ii8vDx07dsSnn36Ka9euITs7G2lpabh58yb+/vtvfPjh\nh2jevDlOnjxp1mt/+vQpvL294e3tbVYQIzo6GmPHjgUAfPfdd5g3bx4ePHiAjIwMHDx4ED169EB+\nfj6cnJz0VptkZmaiR48e+Ouvv5CcnIzMzEycOHEC/fr1w7Vr1+Tjzp8/j8LCQpMzZGzh/fffR8uW\nLQEAc+fOxfvvv4/4+Hjk5OTg+vXrmDhxIn788UcAwMCBAzFu3DirreWPP/5AmzZtsGjRIhw5cgRx\ncXHIzMxEamoqzp49i9dffx2XLl0CAEyerLzpw+TJkzF+/HgAwLp169C9e3fs3r0biYmJyM3NxePH\nj3H+/Hn8/PPPGD58OKKj1TMfW7duLc+2WrFiBeLj41FQUCAPZL4MgUFrqFU9kjw8PPDZZ59pvd6+\nfXscPHgQ4eHhqKqqws6dO/H666/bcIWEEELIy0980bAyCvGFm3CM7mrRZ7PYbLAC/cCkKezclpkL\nh0bqWwNbAr9EuW+Rp4ebVRrFRjQIRXqG/nLAiIZhescYTfUfyQ6OQL1u0iyk1mMs17eoBnaIS85J\nxRtrF6r1R3qem4a+yydh1/zVVmm6Xd9fOSMpOScNDMPQbkF6yHa+++vGSRy8cRJ5JYXw8/DGyA4D\nMKLDgFoVRAKkJWUzZ87EL7/8glu3bmHo0KFK14OCgnD48GGsWrXKoPnq1auHbdu24Y033pD3mVEU\nHh6O48ePayyja9euHc6fP4/x48cjMTERK1euxMqVK7U+y56+17du3YqysjIcO3YM69evx/r165Wu\ne3h4YNu2bXqrTaZMmYJdu3bJA3yK5s2bh+vXr+PGjRvyZ8TFxRm1Q58tubi44OTJk3jttddw69Yt\nrF69GqtXr1YbN2jQIOzZs8eqX08Wi4X4+HjEx8fj22+/1Tpu+vTp8gwzRdu3b0dwcDDWrFmDK1eu\n4MqVK1rn6NKli9o5Nzc3LFiwAN999508CUVRamqqvBSwNqlVgSRDhIaGIjw8HAkJCcjIMKCjHyGE\nEEKUMMW6d/4xdpyx2EF+qFIIJDFZeYDVAknKZW2eHtYph4qICENc/GOdDbc9Pd0Q0dAKfX1Ud01r\n0EuahWRpNt4hTiASagwiyTzPTcMbaxfin6U7LB6gCOT5wcXRCeWV0lLEEmEZCsqK4evuZdHnvIpc\nuc6Y0G0YJnQzbCeyl4GzszN4PB4AGLxFuczGjRsRHR2NLVu24N69exCLxahbty4GDhyIefPmITAw\nEG5ubuDxeEq7cWkzcuRIXL9+HT/88AOuX7+OoqIihIaGYsSIEXj33Xfh7q69dDcqKgqPHj3Cnj17\ncPjwYdy9excFBQVwcXFBYGAg6tSpg169eiEmJgZNmzZVu9/T0xM8Hk9rvydFycnV2YvmNlF2cXHB\n0aNHsXfvXuzYsQMPHjxAaWkpQkJCEB0djTlz5ij1hNKme/fumD9/PlauXImbN2+ioqICjRo1wvTp\n0/Hmm2/i9u3bmDlzJrKzs9G9e3el5tSGvHZHR0f594niLmuqPDw8wOPx4OZm3v+PgoODcf36deza\ntQv79u3D/fv3wefz4e3tjbZt22LixIl47bXXdM7B4/FQWlqq83XpW++ECRPQqlUrxMbG4uLFi0hN\nTZWXsgUHB6Njx46YPHkyunbV/IspDoeDH374Ae+88w62bNmCCxcuIC0tDeXl5fD390dgYCBatGiB\nmJgY9OnTR+McK1euRPPmzbF79248evQIJSUl8owyXV+LVxmLqa25WFpUVVXBz88PRUVFeP311/Hn\nn3+qjWnZsiUePHiAKVOm4Pfff7fp+goLC+Hj4wMAKCgogLd37dmZghBCyMuhfOmPkMQ/0TuO3boJ\nXJZbvgy84ufdEB+v3gKYFeQHx9EDwOnVweK7xd249QC34qqbe0a2boLOHVtb9BkyxcWlOBp7QWMw\nyc3NGcMG9wGPZ/n+TDi3Cjj9ZfVxl9nAkO8s/5wtw4Ckc/rHNegNTP3b7MftvHQIH+z4Ru+4H978\nj1WCFr2/nIjHGdXNeY99sgntwlta/DmWkJSUhIqKCjg5OSnt6EReDfXr18eLFy/w7rvv4n//+19N\nL8cgCxYswNq1a9G+fXvcuHGjxjKchEKhPEjy66+/Yvr06TWyDlK7mPIz2dJxhNoZPtPhu+++k2+N\nOGvWLJ1jGYbBw4cPcezYMRw/fhy3b99GZWWlDVZJCCGE2C9Oj/aGjesZZfFnSzJzIL50W+kck5UH\n0fo/rLJbXImG0jZr4fHcMXbUAPTqEQVnZ+WAWIf2La0TRAKAwufKxz5WCiTYeIe4v26ql+5ocvCG\neb1ctAn1DVI6XrjtK+y8dMiqvZkIeVXExsYCAFatWmVXZXKE1Ba1trQtOzsbFy9Kf1spEAiQlpaG\nAwcO4NatW+BwOPj+++/Rt29fnXNs27YN27ZtUzrn6uqK8ePH4/PPP0dYmBX6FBBCCCF2jtOrAyr3\nn9TZcJsV5GfxQJJstziUaC7/ku0W5/LjYotkJlWKxcjKVn6NhUUlqBSL4cixzj+xHDkcNGsSjsLC\nYsTffyY/X1ZWbpXnAQAKnisf+9S3znNajwUu/KC74baldogDkMtX3+VKk7wSw8YZIzknFdcT7iqd\ne5KZjA92fIO1sdut1puJkFdBWloacnJyMGbMGPTu3buml0NIrVRrA0lxcXHyDv2Kunbtiq1btyIi\nIkLvHAEBAahXrx6CgoJQWFiI27dvQyAQYMuWLThw4AAOHTqEnj17Gr02Tdt3ysiypQghhBB7xXLi\nwnnZXJQv+BoQqWfqsoL84LxsrsXLzIzZLc7cJt/yMjOVoNW9B8/wIjUDQ2J6Wi9DCICnp/Lcunon\nmU01I8k73DrP4bpKey9tHaU5mGTJHeIA+Ht647EB7TD9PCzbRkDWm4lfXqrxujV7MxHyKqhbt67O\n90uEEOurtaVtQUFBGD16NEaPHo0hQ4agWbNmAIArV66ge/fuOHbsmNZ758yZgwcPHiA7Oxv//vsv\n/v77b1y8eBE5OTlYvnw5OBwOioqKMHz4cJMadvv4+Gj9Q3XphBBCXgbs4ACwfL2UzrEa1QN33kS4\n/LgY7OAAiz/TmN3izFEpFmvtVQRIgzpHYy+gUiw26zm6eHqoBJJKNAclzCYWAcUqzai9rZhx7dsQ\nmHcVGKzSg4ntCMy9LL1uISOi1Ld51mRkhwEWeyYAHPw3VmuDb5nnuWn4y0oldYQQQoi5am0gKTIy\nEvv27cO+fftw5MgRPHz4EPHx8YiKikJ2djaGDRuGgwcParx3zpw5aN68udp5Nzc3LFmyBGvWrAEg\nzR7Ste0lIYQQ8qpiqiRgcguUzrl8OR+O0V0tnokkf6aNdotLSEjRmwHE55chITHVrOfo4ump3IvJ\nahlJRSkAI6k+9ggGHPXvqGQWrivQdTbg7FV9TlIJVFh2l7+RHWNQ31/3ls31/etihIUDSTXdm4kQ\nVcbslkaUsVgs8Hg88Hg8ODk51fRyCLGZWhtI0qRVq1Y4ffo0QkJCUFVVhYULF0Iikei/UcU777yD\n8HBp2vehQ4eMvr+goEDrn6SkJKPnI4QQQmyNKSwGxFXVJzzcwHK17psUFk//1tbGjNMmIcmwAFFC\nYopZz9HFw90Niv1lywTlECt+vi1FrdF2fcs/QxvVZ6n2ajKTK9cZu+avhoeL5hLE+v51sWv+aouX\nl9VkbyZCNImPj0dRURG++Ub/LoZEmZOTE4qKilBUVIQ333yzppdDiM1QIEkFj8fD5MmTAQAvXrzA\nw4cP9dyhjsVioWtXae+FlJQUo3dy8/b21vrHy8vL6PUQQgghtsbk5CsdswN8rP5MW+0WV15u2K5a\n5eUVZj1HFwcHNtzdlHsFqfZrsgjV4I13fcs/QxsflV5MBZb/ZVp4QCjah7dUOtc0pAF+ePM/+Gfp\nDqs0vPb3NKznkqV7MxFCCCGWQoEkDWTZRACQk2PaNsHOztW/vRKJRGaviRBCCHmZMDnKZW0sfxsE\nknp1ACvIT+cYS+wW5+JiWIaKi4t1yxw8PJTL20pKrRBIqsmMJNWglepaLCQ1X7mf5dq3PseEbsOs\n1ui6pnozEUIIIZZCgSQN8vKqd3zx8THtH75PnjwBALi7u8PNzU3PaEIIIeTVIlENJAX4Wv2Zst3i\ntAWTLLVbXEQDw7JUIhpasSk1pOVtikpLBJZ/SOEL5WObZiSpPMvCpW0AIJFIkJafpXSunn8diz9H\nUU31ZiKEEEIshQJJKhiGwb59+wAAHh4eGptq63P37l1cuXIFANCnTx+Lro8QQgh5Gag22rZFaRsg\n3S3O5cfF4IxWfhPO8vO22G5xERFhas2uVXl6uiGioeXLohS5uyuXtlklI6lIpc+Tl3WDY0pUg1YF\nyRZ/RF5JISrE1Znjni7u8NTSM8lSZL2ZtAWTrNWbiRBCCLGUWhVIevr0qc5+RSKRCPPnz0dcXBwA\nYMaMGeBylX9r+fTpU52lak+ePMGoUaPkTboXLlxogZUTQgghL5eaKG2TP8uJC8chvZTXI6yw2G5x\njhwOBg/oofW6p6cbhsT0hCOHY5HnaePhoRxIKi21QkZSkco29V7WDY4pUe2RZIXSttT8TKXjuj5B\nFn+GJuEBofhn6Q5M7jlS6XyLuo2s1puJEEIIsRTr/gvHzvznP//B6dOnERMTgyZNmiAoKAg+Pj4o\nKyvDgwcPsH//fqSkSH/z1rlzZ3zxxRdqc3z22Wc4duwYBgwYgGbNmiEoKAi+vr4oKCjApUuXsH//\nfnmg6dNPP6WMJEIIIbWSRKXZNstGGUny53l7AhyH6p3jSgVgBEKwXC2T5aGp/1FIsD8aRdRDRMNQ\nqweRAPXSthJLB5Iqy4Gy3OpjtgPgGWLZZ+jCqyt9pkT2NcwBRGUA13ItA1ILlANJob7BFptbH1eu\nM8Z3GYptFw7KzzEMQ5lIhBBC7F6tCiQ1a9YMx44dw549e7SOcXFxwezZs7F8+XKNvY2aNm2Kv//+\nG/v379c6R1BQEL755hu89dZbllg2IYQQ8lJhGAZMnvLW5Wwb9EhSxGKzwfLzBpNV3feQyS0Aq55l\nAiElKjukefE8MGxIb4vMbShnZ+UMq9y8Qjx6nISIiDDLBLJUs5E8QgAHG/7T0YEDeNYFihT6NBWl\nAQFNLPYI1f5IdX1tk5EkE6ryvLSCLC0jCSGEEPtRqwJJy5cvx+LFi3HhwgXcvn0bmZmZyM3NhZOT\nEwIDA9GuXTvExMSAx+NpnWPZsmVYtGgRzp07h7i4OGRmZiIvLw8uLi6oW7cuOnfujP79+8PR0dGG\nr4wQQgixI8UlgEihlNzFGXBzsfkyWP4+SoEkSW4B2JYKJKlk/6iWmVlbcXEpTpy6rHROIpHg/KVb\niIt/jCExPcHjmdnrR60/Ug2UW3mpBJKKUy0bSFIJ3NiqtE3G190bThyuvE8Tv7wU/PJSq/dpIoQQ\nQsxRqwJJAODs7IwBAwZgwADTd8JwdnbGwIEDMXDgQAuujBBCCHk1SLLVy9pYLJbN18H294FE4Vi1\nAbg5VBtbq5aZWVOlWIyjsRdQomWXNj6/DEdjL2DsqAGmZyaJBMDdP5XPVVVKz3NtGDRTDV6pZkmZ\nSb1Hku1K2wCAzWajjk8gknJS5efS8jPRvG4jm66DEEIIMUatarZNCCGEEOurqR3bVKn2ZVJtAG4O\n1SCOh4ftAkkJCSng83Xv0MbnlyEhMVXnGK3yE4F1XYA7u5XPp92Qns9PNG1eU/BUdjZTzZIyk2pG\nUqifbQNJgHoWVFpBts3XQAghhBiDAkmEEEIIsShJDe7Ypvxcb6VjiUrfJnOoZiS5u9suSychybAA\nUUKiCUEXkQDYOgooSNZ8vSBZel1khR3iNFHNSCq2XEYSwzDqPZJsXNoGAHXUAknUJ4kQQoh9o0AS\nIYQQQixKNfPH1o225c/1t2JGkmqPJBuWtpWXCw0cV2H85PF7tQeRZAqSgfh9xs9tCiuWthUJ+Cir\nqP46ujg6wdfdy2LzG0q1wXeaSrkdIYQQYm9qXY8kQgghhFiXammbaomZraiVtlmyR5LKrm22bLbt\n4uIMFPINGOdk/OTx2nelVR63D4iabPz8xuKpBpJMLNfTQK0/km9QjfTyUi9to4wkYpykpCTcvn0b\nADB69GiTv4+vXr2K9PR0BAYGokePHpZcIiEWk5qaikePHqGkpAQMw6BRo0Zo06aN0pisrCzcu3cP\nJSUlkEgkCA0NRadOnWpoxa8mCiQRQgghxKIkqoGkmipt81UubWMKisGIq8DiOJg1b4WoEiKFXekc\nHNhwdXE2a05jRDQIRXpGjv5xDcOMn7xM/7zScbnGz20KL5UeSfx0QFIFsM37GgJQL2vztX1/JEA9\nkJROPZJqhcLCQpw5c8asOVq3bo3GjRvj5MmTeOeddwAAlZWV4JjYZP/bb7/FoUOH0K9fP5w+fdqs\ntenC5/ORkpKCzMxMCIVC+Pn5oUWLFvD09NR5X1ZWFi5duqR2nsvlwtPTEzweDxEREfDw8LDW0g1i\n6usjuqWmpmLKlCk4e/as0vl3330X//vf/wAA+fn5mDZtGv7++28wDCMfM27cOOzerdL3j5iFAkmE\nEEIIsRiGYcCo7NpWU6VtLK4jWN6eYGTZOwwDJr8QrEA/s+YtVclGcndztWkmS0REGOLiH+tsuO3p\n6YaIhqFar2vlFgDgoQHj/I2f2xRcN8DVBxD8f3BSIgZKswHPELOnVmu0beMd22QoI6l2SkxMxNix\nY82a47///S8+/PBDC63IutLT0/Hjjz/i9OnTuHPnDiQSidJ1NpuN/v37Y9myZejSpYvGOW7evKn3\nc8ZisdC4cWMMGDAAM2bMQKtWrSz2GnSxxOsj2jEMg2HDhuHOnTtgs9no3LkzgoKkWaSRkZHycRMn\nTkRsbCwAoEOHDqhbt658vD3466+/IBaL0bJlSzRt2rSml2MWCiQRQgghxHJKBYBQoTcP1xHgudfY\nclj+PtWBJPx/nyRzA0llyv2RbNloGwAcORwMiemJo7EXNAaTPDxcMSSmJxxNyUpoPRpIOmfAuDHG\nz20qXmh1IAmQlreZGUgSiIQ4fe+y0rm8kgIIREK4cm2XXQYAwd4BYLFY8t+eZxfnoaJSBCdHrk3X\nQWzLx8cHo0eP1nitoKBAnnXRqlUrNG7cWOO4Jk2aAAAaNmwon4vNts8WuHFxcfjuu+8ASF97aGgo\n6tSpg7KyMiQkJCA9PR0nT57E6dOnsXHjRkyfPl3nfB06dEBYmDTrkmEY8Pl85OTk4OHDh3jy5Ame\nPHmCtWvXYuLEiVi/fj14PN5L9fqIskuXLuHOnTsAgD179mj8u/Ps2TN5EGndunWYO3euLZdokEmT\nJqGsrAzLly/HkiVLano5ZqFAEiGEEEIsRlNZW030nZE/30f5zUPFxj/hOKwvOL06gOVk2hv1srJy\npWN3N9sGkgCAx3PH2FEDkJCYiguXbiml8A8d1As8TxODd63HAhd+0N1w2yfctoEkr7pA5t3q46JU\nIMz0XhfJOal4Y+1CPM9Vbtx97M559F0+Cbvmr0Z4gAnZXCbichwRxPNDZlF1uWBGYbZN10Bsr0GD\nBti3T3PT+mvXrsmzViZPnqw36yg6OhrR0dEWX6MlhYaG4scff8SgQYMQERGhdI1hGBw5cgQzZsxA\ndnY25s6di969e6uNU7RgwQJMmjRJ7Xx5eTmOHj2KlStX4tatW9i5cydu376NK1euwMvLy9IvS87S\nr48ou3XrFgDAwcEBI0aM0DkGAMaMseH/o2op+wxZE0IIIeSlpF7WVjP9kQBAkpmDqvinSueY1CyI\n1v+B8gVfQZJpYD8gBZViMZ6nZCidKxcKUSkWm7VWUzhyOGjWJBw+3sp9N4RCE3Zrk+G6AlMOAC5e\nmq/7hEuvc20YPFPbuc30htsCkVBjEEnmeW4a3li7EAKRYTvjWUqId6DS8YxfF2PnpUM2Xwch1tKm\nTRvMnz9fY/CExWLhtddew4YNGwAAIpEIe/fuNek5Li4uGDNmDK5du4aZM2cCAB49eoSJEyeavngD\n2Or11VaFhYUAAC8vLzg4aO6RJxsDAL6+NVNSX5tQRhIhhBBCLMZedmxjKkQQLlsPCMo1X8/Kg3DZ\nerj8uNjgzKTi4lKN5WQpqVnYe+AkhsT0BK8Gyvg83N2QX1AsPy4pESDQnL5Uvg2BpkOAuJ0K5yKA\nHu9JM5FsGUQCAHflIAuubZT2TWo91ui1HPw3VmsQSeZ5bhr+unESE7oNM3alJknOScXjjESlc/dT\nn+KDHd9gbex2m2dIkZePMbu2VVVV4fbt28jOzkZAQABatWoFFxcXreMrKipw+PBhADCor4viWgYO\nHAh3d8N/Jvbq1Uv+cUZGho6R+nE4HGzYsAH37t3D1atXcezYMVy6dAndu3c3a15z6Ht9169fR2pq\nKvz8/NC7d2+t81y6dAlZWVkIDg5Gt27dlK49fPgQDx8+BJfLxbBh0p9hDMPgwYMHSElJQWBgIFq2\nbAknJ/VdPYuKivDw4UMUFhYiIiJCXjppSSKRCHfv3kV2djacnZ0RHh6Ohg0bah1/6tQpFBcX48GD\nB/L7tWXyKWYkHThwQKnMU9Pfi8LCQty/fx8FBQXw9PREcHAw6tWrp/Pvg6KkpCQkJydDIBAgICAA\nkZGRGj+vAHDx4kVkZ2ejqqoKAPDgwQO11/Gy9U2iQBIhhBBCLIKpEEF8877yuaJSMBUik8vITCU+\nfwNMVp7OMUxWHsQXbsIxuqve+SrFYq09iQCAzy/D0dgLGDtqgGm9icyg2qOppFR7E26D8VXe5Axc\nDjQbYv68xspPBK7+pHyOnwH8NV9agjflgDTwZaC/bp4yaNxBGwWSZBlSZRWaA56yDKl/lu6wee8m\n8vIwdNe2n3/+GZ999hlyc6vLKH19fbFkyRK89957Gu9xcnLCl19+iXv37qFPnz74559/dK7l448/\nxv79+1G3bl2MGjXKqNeRnV29Y2GDBg2MulcTBwcHfPbZZxg0aBAA4KeffqrRQJK+17d69Wr8+eef\n6Natm8bd6WRWrFiB2NhYDBkyBEeOHFG6tmfPHnzxxRfg8XgoKirCuXPnMGfOHDx69Eg+pm7duli/\nfr080CQSifDJJ59g48aNKC+v/lnUo0cP7Ny5E6Gh5geyCwsLsWzZMmzZsgWlpaVK1xo3bozPPvtM\nY9bYwoUL5UEkACgpKTGoSf24ceOUjhX/Xjx69AgffPABYmNj1Zqiu7i4YMiQIfjkk08QFRWlNq9E\nIsGmTZvw3XffITExUe3et99+GytWrIC3t/KusV988YXSLo27d+9W20XuZeubRIEkQgghhJhNkpkD\n4bL1asGbqut3Ub7gKzgvmwt2cIDN1iO+eEv/IMDgQFJCQorOXdIAaTApITEVzZqEG/RsS/FQCSSV\nlgq0jDRCsUr5mGp5mS2IBMDWUUCplhLEgmTp9XlXDc5MyuUX6h8EIK/EsHHmsscMKfJq+vDDD/H9\n998DAJydndG5c2e4uroiLi4OCxcuRH5+vtZ7Z82ahXnz5uHcuXNISEjQ2tsnJycHf//9NwDg7bff\nNqrxt1gsxtKlSwEAnp6eeOONNwy+V5eYmBjweDwUFxfj3LlzFpnTFNZ6fbr8888/GDRoENzc3BAT\nE4OqqipcuXIFaWlpGDNmDE6fPo2uXbti6NChOHXqFFq2bInw8HAkJyfj/v37uHjxImJiYhAXF6c1\n08YQ6enp6NevH548eQJAGshq3bo1ysrKcO3aNTx9+hSTJk3CjRs38L///U/p3gEDBqBp06Z48OAB\nHj9+DC6Xi9dee03jcxITE+UNuUeNGqWUgST7Xnz27Bm6du2KoqIiAEDTpk0RFhYGFouFtLQ0PH/+\nHPv27UOLFi3UAkkVFRV4/fXX5d/j3t7eaNeuHVxdXZGQkIBHjx5hw4YNOHXqFC5evIjAwOps2p49\ne8LLywt//fUXqqqq0KJFC7Xso2bNmhn3ia1hFEgihBBCiFlkZWTaMoBMKSMze03FJRYdl5BkWF+e\nhMQUmweS3D3clI5LzA0kMQxQpBLcqIlAUvxe3U2/Aen1+H1A1GSDpvT39MZjAypm/Dy89Q+yAHvL\nkCKvpiNHjsiDSP3798fOnTsRECAN7EskEnz33XdYsmQJ6tWrp/H+SZMm4eOPP4ZAIMCmTZuwcuVK\njeO2bt2KyspKsFgsTJ06Vet6ZOVXgLScKjk5GTt27EBKSgp8fX2xe/duBAUFmfOS5VgsFqKionDm\nzBlkZGQgOztb6Q2+Ndjy9WlTWVmJt956CzNmzMCqVavg7CzNaExLS0OvXr2QlJSERYsWYdiwYbh9\n+zbOnj2rVE63bt06zJ8/H48ePcLmzZsxZ84ck9bBMAzeeOMNPHnyBGw2Gz/++CPmzJkjD/Lk5ORg\nwoQJOHPmDNasWYPIyEi89dZb8vt/+OEHAMCSJUvw1VdfwcPDQ2tpm2zNAPDnn39qzMxbvnw5ioqK\n4Ofnh6NHj6Jjx45K1ysqKnDkyBH550vRu+++i7///huOjo74/vvvMXv2bDg6Osqvnzp1Cm+88Qae\nPXuGKVOm4MSJE/Jrn332GQDA3d0dZWVlGD9+/EuVfaQJBZIIIYQQYhZLl5FZAovnAUb/MLB4HgbN\nV15uWNPj8nIzGl2bSD0jyczStrJcQKzwep08AGcv8+Y0Rfx+A8cZHkgaERWNi49v6h03ssMAw55t\nJnvLkDLLEk/9Y14FK/g1vQKjLVu2DAAQFhaGv/76C25u1cFnNpuNRYsWITU1Vd4MWhWPx8P48eOx\nZcsWbN26FStWrND4Jn3Tpk0AgH79+qF+/fpa1yMrv1I1ZcoUrF69Wq0syFzBwcHyj/Py8qweSLL1\n69NEIBCgR48eWLdundL5unXrYsWKFZgwYQKuXr2KGzdu4PDhw2o9mebNm4fffvsNt2/fxr59+0wO\nJJ04cQIXL14EACxduhRz585Vuh4QEIBDhw6hRYsWePHiBT777DNMmjRJa3mmuf79918AwJtvvqkW\nRAKkpZyjR49WO3/v3j1s3LgRALB27VrMmjVLbUx0dDS2bduGIUOGIDY2Fjdu3ECHDh0s/ArsB+3a\nRgghhBCzGFNGZiucHu0NG9dTvQeCJi4uhvWncXExPf3fVKqBJLMzkopSlI+9QgEdzXutpszAXfXK\ncvWP+X8jO8agvn9dnWPq+9fFCBsFkvw9DXtDaasMKfLqSUpKkjchnjdvnlIQSdGiRYt0NumWvXHO\nysqSN99WdP78eTx9Kt0lc/r06TrX1Lx5c4wePRqjR49GTEwM6taV/p3cunUrevXqhcePH+t/YUbg\n8Xjyj4uLi3WMtAxbvz5tPvroI43no6Oj5R83bdoUAwcO1DlOVi5mij///BOAtH/Q+++/r3GMm5sb\nPvzwQwBAamoqrly5YvLz9JE10s7MzDTqvs2bNwMAQkJCMGPGDK3jBg8eLA+iHjt2zLRFviQoI4kQ\nQgghZrF0GZklcHp1QOX+kzozpVhBfgYHkiIahCI9Q39gI6JhmMFrtBRnZyc4OLBRVSVtGlpZKYZI\nVAku11HPnVoU2UF/JABwCwDw0IBx/gZP6cp1xq75q9H/qykoq1APuNX3r4td81fbrLG1vWVIkVfP\nzZvV31/9+vXTOi40NBSNGzeW97FR1bFjR7Rt2xZxcXHYtGkTRo4cqXT9119/BQD4+PhgxIgROtf0\n+uuv4/XXX1c6d/z4cUybNg337t1Dly5dcP36dTRu3FjnPIYSCKr/rru6Wn/XSVu/Pk1YLJbajm4y\nfn5+cHZ2hlAo1Nl8XNZku7CwEFVVVXBwcDB6HbIMoA4dOsDTU3vWomJw6/r16+jZs6fRzzJEt27d\ncOfOHezevRvOzs6YNm0aOnfurDcDSpZVFRISIu+RxDCM0n9lH3t4SDOdtf1delVQIIkQQgghZrF0\nGZklsJy4cF42V2vvJlaQH5yXzTW4Z1NERBji4h/rbLjt6emGiIa2D7qwWCy4ubkora20rBw+L3sg\nqfVoIOmcAePGGDVteEAoWoU2xrWEO/JzLes2wtQ+YzGiwwCb7o42smMM1sZu19lw25YZUuTVk5WV\nJf9Y3+5bYWFhOt/8zpo1C7Nnz8aJEyeQlpYmz7QpLCzE/v3SUtRJkyaZ1Jh50KBBOHbsGKKiolBU\nVITFixdj7969Rs+jSUFBgfxjW5SVaWLN16eJm5ubxj4/Mk5OThAKhfDz89M5RkYoFMqz2W7cuIEX\nL15ovKdVq1Zo0qSJ/Fi2U52uUkcACA+v7i2Yk2NgNqoJvvjiCxw5cgQvXrzA77//jt9//x1ubm7o\n3LkzevbsiVGjRqFly5Zq96WlSX9G37x5Uy2Iqo2soferigJJhBBCCDELp0d7iOL1/+bN0OwfS2EH\nB8Dlx8WoWPUbqv6Nrz7frjmcF80wqvG3I4eDITE9ceDv06ioqFS77unphiExPeFopb4O+ri5KgeS\nysrK4eNtYs8atdI222dZAQBajwUu/KC74bZPuNGBJADIKlYOLq6b+gWahpi/3bixZBlSb6xdqDGY\nZOsMKbO8hL2DagOxWCz/WLExsCb6rk+YMAEffvghSktLsWXLFnkD4e3bt0MolPZV01fWpktkZCR6\n9OiBc+fOKTUqNpesNMvV1RUhISEWm9dY1np9mhiaPWToOMWsmzVr1mDnzp0ax33zzTdYtGiR/Liy\nUvr/S30ZP4rXRSKRQWsyha+vL+Li4vDDDz9g586dSE5ORllZGc6cOYMzZ87g888/x9ChQ7F582Z5\nQ3oAKC8vBwA0aNAAbdu2NehZho57WVEgiRBCCCFmsXQZmSWxnLhw6NRKKZDE8nAzafc4Hs8d4fXq\n4PHT59XnPN0R2aYpIhqG1lgQCQDc3JTLNcoEZvRJspeMJK4rMOUAsHWU5mCST7j0Ote4UhWGYZBZ\nqPwb7zre1m2+q0t4QCj+WboDk9a9jytPb8vPD2/fH6unLHk5gkjEbilm4OTl5cHLy0vr2Nxc3f3G\nPDw8MGHCBPzyyy/YvHkzlixZAjabLW+y3aFDB7Rq1cqs9YaHh+PcuXMoLS2FQCAwuxTt2bNn8uyZ\nrl276g2WWZslXp9iUKcmdOzYUR44VKW6pb23tzdKSkr0fm8pXvfx8TF/kTp4e3tj+fLlWL58OV68\neIGLFy/i4sWL+Pvvv5GVlYUjR45gxIgRSr2afH19UVJSgrZt22rdNa62oWbbhBBCCDGLrIwMbi6a\nrxtZRmZpLB8vpWMmv8jkuVR3ZevUoRWaNQmv0SASALirfO7LyspNn8xeAkkA4NsQmHcV6DpX5XyE\n9LxvQ6OnLCgrRoW4+jfe7s6u8HDR3IDYVly5zujZVHl3n2DvAAoiEbO1aNFC/rFivyRVQqEQDx48\n0DufrOl2SkoKTp48iWvXruHevXsAzMtGksnLk/5CwsnJySL9jFavXi3/eOzYsWbPZy5DXl9Jie5+\ngvn5+RZflzEWLFiAffv2afyj2h9LFli8efOmzgDY9evX1e6xhXr16mHSpEnYuHEjXrx4gXHjxgEA\nrl69Kv++Bqqziy5dugSJRGLy83Q1tH/ZUCCJEEIIIWZjBwfAoX0LpXOsOoHgzpsIlx8Xgx0coOVO\n62P7eSkdmxNIKhUoB2jctATPbM3N1YKBJH6G8jGvBgNJgDTjKGqK8jmJ2OhMJJmMgmyl42Cvmvve\nVBTsrbyOzCLr9QkhtUfbtm3lJTpbtmzROu6PP/5QakqtTbt27RAVJc0u3bRpk7zJtqurK8aPH2/W\nWvPy8nD27FkAQOfOnc2aC5DumvXzzz8DkG57/9Zbb5k9pzkMfX0JCQmoqKjQeK2goEApwGHvZDvC\nZWZmatztT0b2dXJ2dkbv3r1tsTQ1XC5XaUc2xf5io0ePBiDt+fT777+b/AxZ3yptGV0vEwokEUII\nIcQimELlHincaaPhGN21xjKRZDRlJJlaGlBWpvxGy14CSc4uyp/jxOQ0PHqchEqF/igGEVcAgurG\ntGCxAXc7CLR4qvQ14WcAJn4NVQM0dXxqrqxNUbCX8u5zWUW6S0EIMYSjoyPmzJkDADh16hTWrVun\nNubx48f45JNP5Fuj6zN79mwAwN9//y3f3n3s2LE6d+V68OCBzp+7eXl5GDt2LEpLSwEAc+fO1TpW\nn7KyMqxcuRIjRowAwzBwcnLC7t27weVq/n/R2bNn5Rk1prLk6xMIBPjiiy/UzkskEnzwwQfyHkJi\nY3++14ApU6bIG3rPnTsXz58/Vxuzbt06HD9+HAAwdepUq5a23b17V+fXKTY2Vv5xRESE/OPx48fL\nM6Xmz58vX682iYmJ8q+1IlnD+4cPDdiR1M5RjyRCCCGEWIRqpg/b16tG1qHGzQVw5gLC/y9nElUC\npQLAw7hyJrG4CkJhdUkUiwW4utR86VFxcSmuXo9XOldRIcL5S7cQF/8YQ2J6gsdzN2wyfqbysXsg\nwDZ+y2eLc/YEnDyAiv8v+agSAYJ8wE37jkPaZKj0R7LfjCQKJBHLWLRoEQ4ePIi7d+9i/vz5OHHi\nBIYNGwZXV1fcunULv/76K9q2bQsfHx/51ua6jB8/Hu+//z74fL68mbK+sraYmBgA0gyVevXqISgo\nCB4eHigsLMTNmzexf/9+FBcXy+fSV4Z248YNeXYHwzDyPjw3b97E6dOn5TtmBQUFYevWrejWrZvW\nuT799FN5aZWpv2Sw5OtzcnLCN998g3///ReDBg1CSEgIMjIysHv3bty8eRMeHh4oKSnBlStXsGXL\nFrRv3x5t2rQxad3W5uHhga1bt2L48OFIS0tDZGQkpk+fjsjISJSVleHvv//GsWPHAADNmzfHt99+\na9X1tG/fHgEBAYiOjkbDhg0RFBQEd3d3ZGdn4/jx4zh16hQA4PXXX1faSc7BwQEHDx5E9+7dkZWV\nhcGDB6NPnz4YNGgQ6tSpg/LycmRlZSEtLQ3//PMPnj59ikePHqn1jOrXrx/i4uJw6NAhvPfee+jY\nsaM8wNmyZUu18faMAkmEEEIIMRvDMGqBJJZfzWyzrIrFYoHl4wUmozqAwOQXgWVkIEmgUtbm6uIC\nNrtmk7srxWIcjb0AgUBzmjyfX4ajsRcwdtQAw/o4lWQpH3sGWWCVFuIZAuQq7A7Iz7BMIMnbTgJJ\nGjKSGIZ5pXpqkJrh5OSEU6dOYezYsTh//jyOHj2Ko0ePyq937NgRBw4cUCrr0cXNzQ2TJk3Chg0b\nAACNGzdG9+7ddd7Tpk0bnDhxAps3b9Y6xs/PD59//rlB2Ug//vgjfvzxR63Xg4OD8dZbb+H999/X\nucU9UB08MnQHM00s+fqioqLQunVr/PTTTzhz5ozStddffx0TJkzAiBEjUFJSgmnTpuHdd9/F//73\nP5PXbm2DBw/GkSNHMGPGDKSmpuL7779XGzN06FD8/vvvcHc38JceJmrbti1u3bqFbdu2abzOYrEw\ndepUjZl7DRs2xO3btzFnzhwcOnQIZ8+elZcqqoqIiICHh4fa+Y8//hiHDh3Cs2fPsGbNGqVry5cv\nx5IlS0x4VTWDAkmEEEIIMV9ZOVChsGWvE1dr8+2awPJTDiRJ8ovArl/HqDlKy+yvP1JCQgr4/DKd\nY/j8MiQkpqJZk3Cd4wAAJSoZSR7BZqzOwlQDScXpQHBro6dRDSTVsZNAkruzG9ydXVEqlJZPisSV\nyC8tgp+HfQRkie34+vrKe7I0adJE7/iGDRvKx2sLbvv7++Ps2bM4deoUYmNjkZWVBX9/f/Tu3RvD\nhg0Dm81G165dweFw0Lq1/r9XI0aMkAeSpk2bpnf80aNHUVBQgDNnzuDx48fIzMxEYWEh3NzcEBYW\nhg4dOqB///46d1ULDg6Wv05Fjo6O8PT0BI/HQ+PGjdG+fXu0bt3aoMBQRUUF7t+/DwAGB9Ks9foU\nbdiwAaNHj8aRI0eQk5MDX19fDBo0CIMGDQIA/P777zhz5gzq16+PqVOnyu9r3rw5Ro8eDTc33b8o\nGT58OMrKytC8eXOtY8LDw+Wfb46ZG0rExMTg2bNnOHr0KC5fvozs7GxwuVw0aNAAgwcPRrt27XTe\n37JlS4wePVpn+WRERITevwc3btxATk4OTp8+jSdPniAjIwOlpaXw8vJCixYtMGTIEKVMJFXBwcE4\nePAgnj17htjYWDx8+BBFRUXw8PBAYGAgwsLC0LdvXzRo0EDj/f7+/rh79y4OHjyI69evIzc3V16q\n2KxZM52fA3vDYmp6/0BilMLCQnndaEFBgdKWnoQQQkhNkTxPR/m7X8uPWSEBcP3p8xpckbKK/22D\n+Gz1rjDcuRPgOEB7qYMmzxJTcEZhjvD6dRDTv6vF1miKw8fOIz1Df1PmOiEBeG1wL/0TXtkAHFtU\nfdxxGjBstfbxtnRgDnB7R/XxsNXS9Rlp9Oq5uPzklvz4j/mr0bdFF0us0Gw9lo3Hs6zn8uNT/9mK\nVmH6AwnWlpSUhIqKCjg5OWl9g0Rql/fffx+rV68Gh8NBWloaAgPto9eYsU6dOoUBAwbAw8MDCQkJ\n8sbkNWH8+PH4888/0a1bN1y6dKnG1kHsnyk/ky0dR6Bm24QQQggxm6SgSOmYZS/9kf4fy5endMzk\nFRo9h+pOaPaQkVRebtjOL+XlmncAUqNa2uZhZ6VtiorTTZrGXndtA9TL26hPErFHIpEIO3fuBAC8\n9tprL20QCahurrxo0aIaDSIR8rKhQBIhhBBCzMbkFSkd202j7f/H8lX+zRuTX2z0HKWqO7a51nwg\nycXAZt8uLk76B4kEQPJl5XP5ydLz9oCnUorIzzB6CoZh1IIz9rJrGwAE0c5t5CWwZcsW5ORIMyHn\nz59fw6sxD5fLxYQJE7Bw4cKaXgohLxXqkUQIIYQQs6k12ra7QJJKRlK+8RlJApWMJHc3V7PWZAkR\nDUINKm2LaBime0B+IrB1FFCQrHz+zh9AylVgygHAt6EZK7UAtYwk4wNJhWV8CCurs7PcnFzh4Wxc\n03VrClHbuU3/15YQWzh9+jQKCgoQHx+PH374AQDQu3dv9OnTp4ZXZp6vv/5a/yBCiBoKJBFCCCHE\nbPYfSFLOSJKorNcQ9thsOyIiDHHxj3U23Pb0dENEw1Dtk4gEmoNIMgXJ0uvzrgLcGgyeqQaS+MaX\ntqkGZkK8/e1qVzTVjCQqbSP24sMPP8Tdu3flx4GBgdi0aVMNrogQUpMokEQIIYQQs6kFkvy8amQd\n2rBV1qO6XkPYY48kRw4HQ2J64mjsBY3BJE9PNwyJ6QlHXTvuxO/VHkSSKUgG4vcBUZPNXLEZeKqB\npAyAYQAjAkHpKv2RQrztp6wNUM9IotI2Yi+io6MREREBT09PtGjRAtOnTwePx9N/IzFY586dIRaL\nX7rdu0jtRIEkQgghhJhNNcOH5eNVI+vQytMd4DgA4irpcVk5mHIhWAb2GJJIJBCoNLa2hx5JAMDj\nuWPsqAG4efsh7sY/kZ/38HDD2FEDdAeRACB+v2EPqulAkosPwHEGxP//dRCVARV8wNnwN7OqGUnB\n3vbVXFc1IymjkErbiH3473//W9NLeOW99957eO+992p6GYQYhJptE0IIIcRkTIUIlScvg0lT3u2L\n5Wk/fWcAgMVmg+Wj2ifJ8IbbgvIKMAwjP3Z24oLDcbDY+szlyOGgRVPlLYAlVRL9QSQAKDMwWFFW\nw9kxLJZ6VpKRfZIyVQIz9rRjG6C+axtlJBFCCLFHFEgihBBCiEkkmTkoX/AVROv/AKokStfKl/4I\nSaZ9ZVOoZkkxBUUG32uPZW2qXFUypATlQkgkEi2jFbgZGExx89c/xto8VXduM65PUrpKIKmOnWUk\n+bp7w9GhOvjHLy/FqB/ewc5LhyAQCXXcSQghhNgOBZIIIYQQYjSmQgThsvVgsvI0D8jOl16vENl2\nYTqoNgCX5BUZfG9ZmUDp2M0OdmxTxeE4wNmZKz9mGAaC8godd/y/1qMNe0DrMSauzILM3LlNLSPJ\nzgJJL/LSIVHIfAOAK0/j8MGOb9B3+SQk56TW0MoIIYSQahRIIoQQQojRxOdvaA8i/T8mKw/iCzdt\ntCL9VBuAM/mFBt/7MmQkAep9m1TXrVHrsYBPuO4xPuH2EUjimZeRpL5rm/0EkgQiId5YuxBVkiqN\n15/npuGNtQspM4kQQkiNo0ASIYQQQowmvnjLsHH2FEjieSgdVx6/KO3vZEDWVJlAOSDjbq+BJJVM\nKdVMKo24rsCUA4Czp+brPuHS61w7yMIyMSNJIBJi56VDSM5JUzrPc9XymmvAwX9j8Tw3TeeY57lp\n+OvGSRutiBBCCNGMAkmEEEIIMRpTXGLRcdYmycxB5aF/lE/mF0G0/g+UL/hKZz+nSrEYGZnKTY/5\n/FJUisXWWKpZVANcBmUkAYBvQ6BhX+Vz/k2BEeuAeVel1+2BCRlJyTmp6Lt8Ej7Y8Q0kjHLPqJHf\nv2M35WJ/3Txl0LiDFEgihBBSwyiQRAghhBCjqWb3mDvOmmT9nKAlqMVk5Wnt51RcXIq9B04iJ7dA\n6fyTZy+w98BJFBeXWmXNplItuVPNpNJJdVe2Id8CUZPtIxNJRjUjiZ+pc7isXExbps+LvHS7KRfL\n5RtWaplXYnhJJiGEEGINFEgihBBCiNE4PdobNq5nlJVXop+p/ZwqxWIcjb0APr9M4z18fhmOxl6w\nq8wk1UBSqaEZSQBQohKU8Qy2wIosTC2QpDsj6WUqF/P39DZonJ+HYeMIIYQQa6FAEiGEEEKMxunV\nAawgP51jWEF+9hFIMrGfU0JCitYgkgyfX4aERPsojQLUm20LDM1IYhj17B6PIAutyoLc/AC2Q/Vx\neRFQqT2b6GUqFxsRFW3QuJEdBlh5JYQQQohuFEgihBBCiNFYTlw4L5urNZjECvKTXnfiarxuS6b2\nc0pIMixAlJCYYvSarMWkXdsAQFgMVCqMdXQBnHkWXJmFsB0AN5Wd1ra8BtzcCojUG4u/TOViIzvG\noL5/XZ1j6vvXxQgKJBFCCKlhFEgihBBCiEnYwQFw/uETtfOO74yHy4+LwQ62j63VTe3nVF5uWN+c\n8vIKo9dkLa6qgSRBORiG0X9jSZbysUcQwGJZcGUWkp8ICPKVz6VeB/6aD6zrIr2u4GUqF3PlOmPX\n/NWo51dH4/X6/nWxa/5quHKdbbwyQgghRBkFkgghhBBiOpWMF5a3J7gDe9hFJpKMqf2cXFwMe8Pu\n4uJk9JqsxcnJEQ4O1f+8E4urUFlpQA8ntbI2O+yPJBIAW0cBVepN0QEABcnS6wqZSS9buVh4QCjO\nfrYT7s7KDc6XjpqHf5buQHhAaA2tjBBCCKnGqekFEEIIIeTlxeQXKx2zfL1qZiE6cHp1QOX+kzob\nbmvq5xTRIBTpGTl6549oGGb2Gi2FxWLBzdUF/JLq3k5lZeXgch1136jWaNsO+yPF75UGi3QpSAbi\n90l3m4O0XGxt7HadDbftrVzMleuMcP+6uJf6VH6uU0QbykQihLy07t69i9jYWKSnp6OiQprFu2TJ\nEtStW13O+/TpUxw9ehQpKSkoL5f+kmrBggVo3rx5jayZ6EaBJEIIIYSYjCkoUjpm+dhfXx1ZPyfh\nsvUag0na+jlFRIQhLv6xzobbnp5uiGhoX1kirqqBJEE5vL09dd/EVy1ts8OMpPj9Bo6rDiTJysXe\nWLtQYzDJXsvFgr0DlAJJmYW5NbgaYm2xsbE4ePCg2nk2mw1PT0/Ur18fPXv2pDfUVvTw4UPcuHED\nGRkZyMrKApfLRd26ddG1a1d06NChppf3Ups7dy42bNigdn727NnyQNIXX3yBL774Qq0Ue8SIEfR9\nb6cokEQIIYQQkzEFKhlJdhhIAqT9nFx+XIyK9X+g6vyN6vPNGsL5i3kaS/EcORwMiemJfX+d0lge\n5unphiExPeHIsa9/Trm5qe7cZkCvJ7WMpBALrshCyvRnh0nHKQddwgNC8c/SHWj54SAIRNWlmMvG\nLMDknqPsLogEAEFe/krHmUUGvnbyUoqLi8PGjRv1juvbty9+/fVXNGjQwAarqh3++9//YvXq1cjM\nzNQ6pmXLltiwYQN69Ohhw5W9Gvbu3SsPIg0cOBD9+vWDu7s7ACA0VPpLmAsXLmDZsmUAgB49emDI\nkCHg8aT/lmjRooXtF61C8e/nypUr4eXlVbMLshP29S8fQgghhLxUmEK+0jHL2z4DSYA0M4nTrZ1S\nIInlzNXZz4nHc4e/vw8yFErcfHx4aNWiESIahtpdEAkA3FyVAyNlAgN2btPUbNveuAUAeGjAOH+1\nUw4stlIQic1iY0bfcXBgO1hwgZYTrBZIooyk2mLx4sXyLA2JRILMzEz89ddfuH//Pv755x90794d\n//77r1JJEDHd9evXkZubi6ioKLRp0wZ16tSBj48PsrKycPXqVZw/fx73799H//79cfjwYQwYYD9l\nsC+DP/74AwDQrl07HD9+XOOYXbt2AQDCwsLwzz//gGNn/19NTEyUB5KWLFlCgaT/Z19fJUIIIYS8\nVJjClyMjSUZ1fRKVjCpNylUyevr27AA/v5rf5UsbtZ3bygwIJKk22/a0w9K21qOBpHMGjBujdiqH\nr7zTm7+nj90GkQAg2Et5x8MsCiTVGmPGjEFkZKTSuS+++AJz5szBxo0bkZmZiU8//RTbt2+vmQW+\nYhYtWoRNmzZpDQ6cOXMGQ4cOhVAoxDvvvIOEhASw7HFHSzv1+PFjANBZHigb07ZtW7sLIhHtaNc2\nQgghhJiMKVDNSNLTi6eGqTYDVy3N06SsTKB07ObmqmWkfVAvbXtFMpJajwV8wnWP8QnXHEgqVg4k\nBfJ8Lbkyi1PLSCqk0rbajM1mY82aNQgIkAYYDxw4AJFIy+6FxChRUVE6M0z69euHt99+GwCQlJSE\nZ8+e2Whlr4bS0lIAkJezmTqG2B8K+RFCCCHEZBLVjCQ7Lm0DABbPA2CzAYlEeqKkDIyoEiwtu5qJ\nRJUQKfRHYrPZcHbWXgpnD9xUM5L0BZIYRr1Hkj0GkriuwJQDwO8jgcLn6td9wqXXueqBvuxi5Sbr\nATw/Ky3SMoJUMpKotI04OTmhV69e2Lt3LwQCARITE9GsWTMAAMMwuHHjBu7cuYOMjAwUFBTAy8sL\nrVq1QnR0tN5SnMWLFyM/Px/9+vXD2LFjwTAMTp48iWvXrqGoqAihoaF47bXX0KhRI4PWmpmZiZMn\nT+LZs2fg8/nw8fFBx44d0a9fPzg5ORm8DgC4fPkyLly4gIyMDNSrVw8ffvihYZ8wC4qIiJB/LBQq\nZ6iKxWLMmzcPAPDmm2+iW7duGufg8/n4+OOPAQCzZs1C27Ztla5reu1nzpzB5cuXUVxcjMaNG2P8\n+PHy3kEyhYWF2LdvH549ewYHBwd06dIFQ4cOBZttuXyRwsJCxMbG4sGDByguLoaPjw/atm2L6Oho\nuLqq/7xNSUnB119/Lb8XAE6fPo3Zs2drnP/FixcAgH///VdpTKdOneRBPJnExEScOnUKSUlJEAqF\nCAwMRHBwMLp3747GjRvrfB1VVVW4cuUKLl++jOzsbHA4HISHhyMmJgYNGzZUG19UVIRFixYhKSlJ\nfu7TTz+Fm5ub0rja2jeJAkmEEEIIMdnL0mxbhuXABsvbE0x+kfwcU1AMVpDmwIJqEMbNzcXuyxpc\nVXok5eYV4vCx84hoEIqIiDD1vk6CAqCqsvrYyRNwstPfDPs2BOZfA/7bFCgvqj4fvQzoMltjEEkg\nEuLI7X+UzpWUl0IgEtplo20ACPFWL21jGMbuv/eIdXl7V5fUlpSUAADWrl2LFStWICdHc9aap6cn\nvvzyS7z77rta5925cydevHgBZ2dndO/eHcOGDcPNmzeVxnz00UeYO3cuVq9eDQcHzWWhpaWl+PDD\nD7F582aIxeobFISGhmLDhg0YOnSo3nX06tULY8aMwcWLF+XXu3XrViOBpHv37gEAnJ2d1YIVYrFY\n3j8nKipKayBJIBDIx/Xv318tkKT42nv37o0RI0bgypUrSmMWL16MAwcOoGfPngCArVu3Yt68efKM\nHpmuXbvi6NGjFglufPfdd1i+fLnaMwDA398fq1atwuTJk5XO5+TkqDWPv3v3Lu7evavzWc+ePVPK\n+CotLZUHksrLyzFz5kzs2LFD6/1t27bFqVOn4OurnnEaGxuLBQsW4OnTp2rXWCwWJk6ciJ9++kkp\nK6q0tFTtdWh6fm3tm0SBJEIIIYSYhKkUAwrbzIPNkmb82DmWD08lkFQEaAskqfQXclcpG7NHVeIq\npWOJhEF6Rg7SM3IQF/8YQ2J6gsf7/38siwTANZXdohxdpOc1BGXsAtcV8GkApN+uPlevi8b1Juek\n4o21C/E8N03p/PWEu+i7fBJ2zV+N8IBQa6/YaB4ubnBzckVZhbSsskIsQkFZMXzdvWp2YaRGKe4s\nJgsq3bp1C4WFhYiOjkaTJk0QEhICDoeDpKQk7N+/H7m5uXjvvfdQVVWF999/X+f8lZWViImJQVJS\nEmbOnInmzZsjPz8fe/fuxePHj7F27VqUlJTgt99+U7uXz+ejV69euHPnDlgsFvr3749evXqBx+Mh\nJSUFu3fvRmpqKoYPH469e/di1KhRetfx7NkzTJ8+HS1atICzszOCg23bu62qqgrbtm2T96P65JNP\n4Oxs3eCzWCzGoEGDkJycjPnz5yMiIgJpaWnYtGkT8vPzMXz4cDx69Ahnz57F22+/jU6dOmHo0KFw\nc3PDqVOncOzYMVy5cgUzZszA3r17zVrL3Llz5Tuu1a9fH+PGjUNISAiSkpKwc+dO5ObmYsqUKcjP\nz8fChQvl99WrVw8//fQTAGkGT1FREfr374/Ro0drfM4333yDlJQUdOzYUSkDSTFoN23aNHlT7m7d\nuqFPnz7w9/dHYWEh0tPTcenSJcTFxaGkpEQtkPTbb79h+vTpkEgkCAoKwujRo9GoUSOIRCJcvHgR\nR44cwY4dO/D06VNcuHBBnjXn7e2Nn376CXFxcfjll1/ka1UNGikGeGsTFsMwTE0vghiusLAQPj4+\nAICCgoJa+41LCCGk5klyC1A+fan8mOXtCdffv6nBFRlG+PUvqLpe/ZtRpw+ngtOjvcaxT54+x9kL\n1bu8RTQIRf++na2+RlNVisXYe+Ak+PwyrWM8Pd0wdtQAOBa/ALaOAgqS1QfJysR81dP97cLON4BH\nR6uPx28FWo5UGiIQCdF3+SS1IJKi+v518c/SHXaZmdRj2Tg8y3ohPz6zZDta1DWstMjSkpKSUFFR\nAScnp5rfel4kAOL3AvH7gbIc6W5+rUdLe2jZa/BTj5UrV+LTTz8FIN1qXLXZNiD9d3+9evVQWloK\nb29v5OXlgc1mIy4uDuHh4RozIvh8PmbMmIE9e/bA2dkZaWlpGrM16tevjxcvXsDDwwM8Hg/nzp1T\nKvWprKzEW2+9Jd+B6++//8Zrr72mNMcbb7yB3bt3w9PTE4cOHULv3r2VrgsEAowZMwbHjx+Hl5cX\nnj9/rlamJVuHp6cnfHx8cPbsWdSvX9+Az6BlyMrLJBIJsrKycOfOHaSmpsLNzQ2LFi3C4sWL1bIC\nhUIhXFykv2D49ddfMX36dI1zZ2VlyQNhe/fuxZgxyr3cFF973bp1cebMGQQFVZcYP3nyBJGRkRAK\nhZg+fToOHDiA9957D0uXLlWaZ8GCBVi7di0A4OnTpwaXI6o6fPgwhg0bBgAYPnw4du3aJX+dAJCX\nl4fo6GjcuXMHHA4HN2/eRJs2bdTmqVu3LtLT0/HBBx9g1apVGp8VFRWFW7duYeLEiRozfrKyshAS\nEgKGYbBs2TJ8/vnnGue5c+cOIiIilLKK4uPj0bFjR1RUVGD8+PHYvHmzWjlebGwshg0bBpFIpHH+\nffv2ycsNU1NT7WLHRFN+Jls6jkDNtgkhhBBiErWyNjvvjySjWn6nq+G2oFy5H4Zq2Zi9SUhI0RlE\nAgA+vwwJTxK0B5EA6fmto6Rv2u2Rag8n1V3nABz8N1ZnEAkAnuem4a8bJy25MosJUmm4nUENt4H8\nRGBdF+Cv+dId/LIfSv/713zp+fzEml6hVRQWFmL8+PHy8qK3335b3gOnbdu2WstqPD09sXnzZvB4\nPAiFQuzbt0/nc0pKSrBx40a1fjGOjo749ddf5W+gVQMC9+/fx+7duwEAGzZsUAsiAYCrqyt27NgB\nDw8PFBUVYdu2bVrXwefzsWnTJpsGkQBpednGjRvx66+/4vDhw0hNTYWHhwf+97//4cMPP7RJaSmf\nz8f27duVgkgA0KRJE4wbNw4AsGnTJrRs2VItiARIg2Gy743jx4+bvI6VK1cCkJavbdu2TSmIBAB+\nfn7YvXs3OBwOxGKx1iCRJSQkJECW+/LGG29oHRcZGanWsPvLL79ERUUFmjVrhm3btmns6RQTE4OP\nPvoIALBu3TpIZD0UiU4USCKEEEKI0ZgKEcRnryufq6oCU2H/OwmxfJUDSZKCIq1jVQNJLi52HkhK\nSjVs3L072oNIMgXJQLzuN541xkOlxEV11zkAf908ZdBUB+02kKTeJ6lWEwle7uCngb766ivMnj0b\ns2fPxqxZszB8+HDUq1cPp05Jv5/btGmjNSNDE3d3d3Tp0gWAtJmxLqGhoRg0aJDGa66urpgyZQoA\n4NKlS+Dzq3fs3LNnDwDAy8tLHuzQxMfHB3379gUAnD17Vuu4+vXro1+/fjrXag1fffUVfvrpJ6xf\nvx6ff/45+vbti9LSUsyYMQNRUVF4/vy51dfQtm1btGvXTuO1Tp06yT+eNm2axjGBgYHyANyjR49M\nWkNhYSGuXr0KAJg0aRI8PTXvxtqkSRMMGDAAAHDs2DFYq9BJsaQxNjbW4PuEQiGOHDkCQPr5cnTU\nvKkGAHmGWF5eHu7fv2/iSmsX6pFECCGEEKNIMnMgXLYeTJbyTljMiwyUL/gKzsvmgh0coOXummdM\nRlK54OXKSCpXCXxpHVfK1z8IkAaSoibrH2drBmQk5fILDZoqr8SwcbYWpLKzXA4/v4ZWYifi9xoe\n/LTH71kDacsacnd3x7Rp07BixQqN26QnJyfj/PnzSEhIAJ/Ph0hUHdSXNTBW7LGkSadOnXRm3cgC\nGRKJBPfv30fXrl0BVAeoHB0d8d577wGAUlBB9jHDMPK1pKZqD3p36NBB5zqtZeLEiWrnzp49ixEj\nRuDBgwfo27cv7t+/rzGrxVI0lYfJ+PtXZylqKn9UHJeUlISioiKT1hAfHy//msmCkNp07doVx44d\nQ0FBAVJTUxEWFmbSM3UJDw9Hq1atcO/ePSxYsABHjx7F6NGj0atXL507td25cwcVFRUApF/H5GTp\nzw/F70fZfwWC6gB0amoqWrdubfHX8aqhQBIhhBBCDMZUiDQGkeTXs/IgXLYeLj8uBsuJa+PVGYbt\n66V0rNh4W5VaaZudZyS5uDgDhfqDRC5VBgaSyuw0C8ZTJZBUkq02xN/TG48z9E/l52Gf/SYDecq9\nbLKLNf+dqzXi9xs47uUOJC1evFheQsZms+Hh4YH69eujbdu2Ghs9p6SkYNasWThx4oTeuTXtvKUo\nIED3LwACAwPlHxcUFMg/lu0Yl5ubi/Xr1+tdh761KAZMalqfPn2watUqzJw5E8nJyfjjjz+09kGy\nBNW+UYo4CjtuassSUhxXWVm9G6dEIsGcOXO03vPdd9/J51T82qqW2KlSzBYqKCiwSiCJzWZjx44d\nGDJkCNLS0hAbGyvPTAoICEC/fv3w5ptvqmXTKe5kePToURhK398TIkWBJEIIIYQYTHz+htYgkgyT\nlQfxhZtwjO5qo1UZx6geSaoZSXYeSIpoEIr0DP29dCI4BkRYAMDNft7QKVErbVPPtBgRFY2Lj2+q\nnVc1ssMAS63Kovw9lQNJucUF/8fefYc3VbZxAP6lI03TvQu0QJlWsOy9t8gnMkSWbEGQqSiigiKI\nW5AtsgSKgOy9V6nMMlr2ahmd6U6b0TZNvj9iTnNORtOStEl47uvysjnnzembNkDy5BkGVr4iJCb2\niLLW4KeJ3n33XaPZJtrEYjE6duyIZ8+egcfjoU2bNmjZsiWqVq0KoVAIR0dHAOqeOteuXSu190tx\ncbHJ5zXX1hYeHo5p06aZtHdjjX6NlSBVhkGDBmHChAkAgAsXLlg0kGQpSqVSZ5S9tnnz5jGBJO3f\nbWnPCYVCwXyt7zlhLhEREXjw4AEiIyOxf/9+REdHIzc3FyKRCFu3bsXWrVvRs2dP7NmzR2/G2Gef\nfWZyU+rmzZube/t2iQJJhBBCCDGZ4vw109ZZdSDJm3VblZkDlUrFKukoUijw+PFz5IrZn0w6863r\nDQ5XnTrVcSPufqlT2+rUbASUUiUEAIh4t/Q1lYFb2qanR1L/lr2w7NjmUqe29bPSQFIQp7QtTfyK\nZyS5BQK4a8I6Kw1+WsC6devw7NkzODg44PDhw+jVq5fedfv37zfpeklJSSaf184a0mQqFRcXY+LE\niSZ9L1vi5eUFBwcHKJVKVglUWWgHXCqDo6MjVq1aZfC8diaU9u/WWAkiACQmlvz9WlpG28sSCoWY\nMGECJkyYwJRXnjp1CuvWrcOdO3dw/PhxfP3110zjb+0MuiZNmhht1E3KjpptE0IIIcRkqtw8s66r\nFG6ugHZAqLAIkMiYm7m5+dix+zjORV/TaR564PBZ5OZab9q7s5MT+vTqaLCXk6enG/r06gjnxoMA\n3zDjF/MNs95AktAPcND6PFSeq9NkWcgXYOvUxQj01B13DqiDSFunLoaQb51ZZoGevqzbotxXvEdS\nxEAT11npc9YCNL2JWrRoYTCIVFxcjOvXr5t0vYsXL7LKobjOnTsHAODz+XjjjTeY4+3atQOgHjev\n6YFkT54+fcpkc2mXcnGlpemW2GqUFqSzNB6PxzRx1/ef9lS2Ro0aMVlhZ8+eNXrd06dPAwBCQkJY\ngRtLc3BwQEREBD7++GNcu3YNDRo0AAAcOHCAWdOkSRMmO0nTdLu834voop8KIYQQQkzG8/Iw67rK\nwOPxwOP2SfpvcluRQoFDx6IMZvTk5Ulx6FgUiir502VjvLzc8XafTqxjDg4O6NShOQYN6AkvL3eA\nLwRG7Qa8Q/VfxDdMfZ5vuaayL8XBAXDnvGnRk5UUFhiKj98awzoW6OmHRSO+xOm5kQgLNPD4rQA3\nI0kkzrTYVCSbEGHjwU8L0JQdGevpsmHDBqMBDm2ZmZnYtGmT3nMikQibN28GAPTp0wcuLi7MueHD\nhzOBh1mzZtnd83TZsmXM1927dze47sKFCwbP7du3z6x7siShUIi33noLALBt2zY8f/5c77ro6Gj8\n+++/ANTlf5XFxcWFaVIul5eUo/P5fCYL6Z9//kFMTOmlzvpoN7fXnlb4qqNAEiGEEEJM5tShmWnr\nOlp3jwFDfZIeP35utCwMAMRiCR4/MZ7uX9k8PdhTnZRKJerVrQFnrWat8KsNvLuWfUe+G9BvOTDl\novq8NTOh4TYAZEvYL/wHte6NYe36Wm0mkoabQMjaY6GiCP0XTcKW6H2QFpo2nc+uaIKfhoJJ1h78\ntADNmPg7d+5gzZo1Oue3bNmC6dOnm9wAOTQ0FDNmzMDx48dZx9PS0tC/f3/k5ubC0dERX375Jet8\nWFgYZs6cCQDYu3cvRowYwWp0rE0kEmHTpk148OCBSXsyJC0tjcmm2bhxY7mu8ejRI/z9998Gp5tJ\nJBLMmTMHixcvBqDuncNt6Kzt8OHD+OOPP3SO79+/H7/99htz2xaCEXPmzIGTkxOkUin69u2rE0y6\nefMmBg8eDEBdFvfJJ59YbC83btzA1q1bkZmpPyvz2rVrOHLkCACgZcuWrHPz5s2Dv78/FAoF3nrr\nLYMBPaVSiYsXL+Kvv/7SOVenTh3m69IytF4l1COJEEIIISZz6tQCRbuOG224zQv2t/5Akjd74k3B\nmp1wfqcr4mWmvUF//OQ5wuuXkh1RiRwdHODq6gKZrIA5JpPK4e7OeZMtz2HfrtHadiZe6fRJ0j/a\nnDvtjJvpY60SRC9QWMzOfLv06CYuPbqJZcc2Y+vUxVadUWURfrXVQc64ner/JOnqnkgR76r/e4WC\nSAAwfvx4/P7770hLS8OECROwdOlSNGrUCCqVCleuXMHjx4/x8ccfIzk52WBWibYBAwbg8ePH6NWr\nF1q1aoXXX38dmZmZOHXqFCQSdYB94cKFepsRL1y4EMnJydi0aRO2bNmCnTt3onXr1ggLC0NRURFS\nU1ORnJyM+/fvQ6VS4ciRI6hfv365H3t2djbTPFoul2PUqFFlvsazZ88wfPhwODk5oUGDBggODkZQ\nUBAcHBzw4sULXLp0iXncdevWxe7du42WOYWEhGDSpElYsmQJIiIiIBAIEBsbi9jYWISGhiI/Px/Z\n2dn45ptvcPnyZcydO5eZ0GdtmjdvjiVLlmDKlCmIjY1FvXr10LVrVwQHByMhIQHnz59HcXExXFxc\nEBkZadHHcefOHYwYMQIODg4IDw9HtWrVEBwcDIVCgcePH+Pq1atQqVTw8fHBwoULWfcNCQnB/v37\n8c477yA9PR39+vVDzZo10bx5c3h6eiIzMxNpaWl4+PAhsrKy0KpVK4wePZp1jVq1aqFJkya4ceMG\nZsyYgYMHDyIkJIR5Lvz444/w9va22OO3VhRIIoQQQojJeC58COZNhuyrJUBmju75YH8I5k0Gz4Vf\n8ZszkTJFhOIb91jHVImpKFzxN1p4CJHToiHy3Iy/IdUO0FgrN6Era58SqUw3kCTmBF+409CsmQkN\ntwHd3kKBXvp7JlkTaaEcQ5d9DEWx/hLKp+mJGLrsY5yeG2n1mVVmxxeqg522EvC0ID8/P5w5cwYj\nR45ETEwMbt++jdu3bwNQZ4n8+OOP+PzzzzFkyBCTr7lz505MnDgRkZGRuHz5MnPc19cXv/zyC8aO\nHav3fg4ODti4cSN69eqFH374Abdv38a5c+eYvkoaVapUQc+ePfHaa6+V4xGXkMlK+tr5+voaWWlY\nvXr1MGbMGBw/fpwJ+HBVqVIF48aNw+zZs+Hm5mb0el988QUuXLiALVu24P79+8zxBg0aYMeOHYiM\njMT333+PxMRErFmzBtOnTy/XvivKRx99hLCwMHz22We4c+cOk/Wj0bZtWyxevFgnC8jcmjZtimHD\nhuHEiRO4c+cO7ty5wzrv6OiIt956C4sWLWJlD2m0adMGN27cwLx58xAZGYmnT5/i6dOnrDVOTk5o\n164dRowYoXcPmzdvxqBBg3Dv3j2dn8OcOXMokEQIIYQQUhqHKoHgjxuIwp/XlRx0F4I/uj+cOja3\n6iCSqqAQ8nkrAKlM73m3PCm6XorDwU4tUOxkeJSxq6uLwXPWQih0ZQX7JBI9j5mbxcMNzlgznR5J\n+kvbuNPObCEjac+VY0anzQHqYNLeq8cxrF3fCtoVsZQ333yTeSMaGlq2LLPw8HBcvXoVcXFxuHXr\nFhQKBUJCQtCmTRum0fAHH3yAzp07G20UrSEQCPDXX3/hu+++Q0xMDHJychAaGooOHTqAzy/97/Zh\nw4Zh2LBhePr0KWJjY5GVlQVXV1cEBQWhWrVqqFevnsH7Lly4EHl5eYiIiCj1+2gCVEKhkCmrK6vq\n1atj/fr1ANRlbs+fP0dKSgqKiorg7e2N8PBw1KtXz+Rmy3w+H5GRkfj2228RExODgoIC1K1bF61b\ntwaPx8PChQvRpUsXpKWloW3btggLK8lqNeWxN27cmJm85udnOCD+2Wef4f3330ft2i9fnty7d2/0\n7t0b9+/fx+3btyEWi+Hj44OmTZuiRo0apd7/xx9/RH5+Pho3bmxwzZdffgmRSGTwufH6669jy5Yt\nUKlUuH//Pl68eIGUFPW/XVWqVEGzZs2M/jwAoFq1alizZg2WL1+OK1euIDExETKZDAEBAQgKCkL9\n+vVZk+u4GjRogLt37yI2Nhb37t1DXl4e06PMx8enlJ+CfXplA0kpKSl49OgRkpOTkZubCy8vL4SH\nh+ONN94oU2d2uVyO8+fPIzExES4uLqhbty5atGhhwZ0TQgghViCfPSHLqWUEnHu0raTNmE5x7qrR\nsjwA8JTKEZYswuPqht901altWs+RyuTm5sq6LZXqKdsTc7J4PO0/IynIwBQ3a7I35oRJ6/ZQIMku\nNG7c2OgbbVNEREQYDEJ0797daJNofUJCQl6qXKlmzZqoWbNmme4zfPhwk9cePXoUAPDJJ5+gWrVq\nZfo++tStWxd169Z96esAQO3atQ0GcQz9Hkx57DVr1sTEiRNLXffOO++UuqasXnvttXJlkb3//vul\nrhkwYIBJ1+LxeAgPD0d4eHiZ96Hh4uKCDh06lPv+jRo1Yhp7v+peqUCSXC7HrFmzcPLkSdy7d0/v\nmmrVqmHmzJmYNm0aHB0NfxJZXFyMn376CT/99JNOw7TatWtjxYoVBsdwEkIIIbZOlZ3Lus3z9TSw\n0roozl8zaV3NpDSDgSRPTzfUqW39vWnchOySJ4m+LCydjCQbCiTpNNvWDSSpVCqIxJxAkg1kJKWL\ns01al5Fn2jpC7IlcLkdUVBSCgoLw+eefV/Z2CHklvVKBpPz8fGZ8Y40aNVCrVi0m0v7s2TNcuHAB\nSUlJ+OSTTxAVFYXdu3eDx+PpvdaoUaOwZcsWAOoGXB06dIBEIsGxY8fw5MkT9O7dG5GRkRg2bFjF\nPDhCCCGkAqmy2B+i8HwMp4RbE1VunknrhIpivcc9Pd3Qp1dH9vQzKyUUsjOS9AeSuBlJNlTaZkJG\nUo5UjEJFEXPbzUUIN4H1N2QO8PTB/eTS1/l7vJolFeTVlp+fj0WLFiEiIoI1mp0QUnGs/1WQGbm6\numL16tXo06eP3hTIZ8+eYdy4cTh16hT27t2LDRs26G0ot3btWiaINHXqVPz+++9MOVx6ejp69+6N\na9euYezYsWjbtm2Z0zoJIYQQa6eTkeRjGxlJPC8PqExY5x1aBS4ufBQUFDLHWjZviDca1rWJIBKg\nbratTW+PJDtvtp3GLWuzgUbbANCveQ+cvx9T6rr+LXpWwG4IsS7+/v4mlXgRQizH9GZAdsDNzQ0T\nJkwwWEdbo0YNbNu2Dc7OzgDUUwu4FAoFvvnmGwDqeubFixezeioFBARg27ZtcHJyQkFBARYsWGCB\nR0IIIYRULlUWt7TNNjKSnDo0M21dx+YoKixiHbOlIBIACDmlbVIZp0dScZF6fLoGjwe4B1bAzszE\nLQDgab2UlWUDCvY0PVEuux9WoA2UtQFA/5a9UDPAeH+amgEh6EeBJEIIIZXglQokmcLf35/pQJ+R\noduM88yZM0hOVucaT506VW8fpTp16uB///sfAHUwqrCwUGcNIYQQYstU2ZzSNlsJJHVqAV6w8WAC\nL9gfRS3fgFJVkrvE5zvbVBAJ0A0kybjNtrlTztwCAEdnC+/KjBwc1XvWxnlMtpqRJOQLsHXqYoT6\n6c8QqxkQgq1TF0PIF+g9T0hZLFy4EKtWrcJ7771X2VuxOc7Ozli1ahVWrVqF9u3bV/Z2CKkwtvWK\nqAIUFhYiLU39IkTfCMJjx44xX/fsafhToJ49e2Lv3r0Qi8W4ePEiOnXqZP7NEkIIIZVApVRClWOb\nPZJ4LnwI5k2GfN4KvdPbeMH+EMybjCxOjyRumZgtcBW4sG7LCwpRXKyEo+N/nyPacqNtDY9gIF8r\neJSfCviUTNRL42QkBXnaRkYSAIQFhuL03EjU+7g7VFpBzZ+GzcKg1m9REImYTVmmpRE2R0dHKrMj\nryTKSNJSXFyM2bNnIy8vDzweD9OnT9dZc/v2bQCAn5+f0ZGY2iM8NfchhBBC7IJYAhQrS267uYLH\nt51MFocqgXBd+hUc6tZgHXfs1lp9vEogJJzsHW52jy1wcHCAqys7mCTTLm+z5UbbGu6cjKS904GY\njUChFAAg4mQkBdpIRpKGh8ANgZ7sPXdt0IaCSIQQQirVK5uR9Pz5c+zfvx8AIJVKkZiYiP379+PZ\ns2dwd3fH2rVr0aJFC537JSQkAACqV6+uc05baGjJWOD4+Pgy7S072/Ao15ycnDJdixBCCDE3pU6j\nbdvIRtLGc+HD4fXaUD56xhxzqBoEngsfgO6EMzc328tIAtST22Sykr5BEqkc7u5CdaDl9h72Ynme\n+jjf+qeaAQAynwDPL7GPpd0B9k4FohYBo3YjTczJSLKRHknaAj19WZlVotxMgyVvhBBCSEV4ZQNJ\nd+/exdSpU3WOt23bFtu2bWMFgrSJxepUfk9P49NptM/n5Zk2aljD19e3TOsJIYSQiqTbaNs2JrZx\nOXACYNqT6LgTzmyxtA0AhK4CaOfkSGUydQBm4wAgK4G9+NkFYHkbYNRuwK92he6zzAql6sdQkK//\nfFYCsHEA0opbsQ7bSo8kbYFe/sCLh8xtkTjTyGpCCCHE8l7ZQFKNGjUwefJkAIBcLkd8fDyio6Nx\n4cIF1K9fHytXrsTo0aN17ieTqV9Yuri46JzTJhCUpBxLpVLzbZwQQgipZCo7yEgCAJ4POwCm/bik\n3IwkWw0kcRtu54mBXUN0g0ga/wVgMOWidWcmxe0w/Bg0shIgKmSX69nK1DZt3NI2bt8nQgghpKK9\nsoGk8PBwLF++nHUsOTkZY8aMwfHjxzFmzBioVCqMGTOGtUYTQCptEpv2ee2gkimysrIMnsvJyUGt\nWrXKdD1CCCHEnFRZ7EbbDjYysY1LN5BU8ri4PZJstrTNlf0aRJJww6QADOJ2As1HWnBnLylul0nL\n0vLZz1VbzEji7lkkNvw6kRBCCKkI1GxbS9WqVbFv3z7Urq1O5/7iiy+gUChYazw8PAAA+fkGUqn/\no31ecx9T+fj4GPzP29u7TNcihBBCzM1+MpK4pW0lQQduRpItNtsG9GQkpZUSRNKI22mB3ZiRRFT6\nEhUPEmXJtDO+kzO8hbZXhhnAyUgSUUYSIYSQSkaBJA6BQMCMwExLS9OZuKZpsp2YmGj0Oi9evNC5\nDyGEEGIPtAMugG5mj60wlpEklXGnttloRhJn39JiE1/6SdItsBszcgssdUmakj1JMMDTDzwez1I7\nshjdjCTqkUQIIaRyUSBJj2rVqjFfc8vMGjRoAABITU1FZqbhf8jv3r3LfP3666+beYeEEEJI5dFt\ntm2bGUlwFwJOWlX+8gKoZHIolSrIuIEkV+O9Ea2VTmmbo7dpd3QLMP9mzCliYKlL0pTsDg62WNYG\n6OuRRIEkQgghlYsCSXqkpKQwXwcEsF9Ide3alfn6zJkzBq9x6tQpAOqeSu3atTPzDgkhhJDKo1va\nZqMZSTweeD7s8nNVthhyeQFUJRVRcHFxhqOjYwXvzjx0StucTZwMG/GuBXZjRhGDAN8wo0vShFVZ\nt4M8ba/RNgAEcRqEp1NGEiGEkEpGgSQOhUKBbdu2AQB8fX11sol69eoFLy/1J6+rVq3Se42MjAzs\n2qVuAvnWW2/B3d3dgjsmhBBCKo5KpdJptm2rPZIA/X2SdMraXG2zPxKgu3dpsSNUpQRg4Btm/YEk\nvhAYtdtwMMk3DKImY1mHAm00IymAW9qWmwmlUllJuyGEEEJesUDSlStXjE5EE4vFGD58OO7fvw8A\nmDp1qs4nkEKhEJ999hkA4PTp01i6dCnrfEFBAcaMGQOpVAoej4evv/7azI+CEEIIqUT5UkB7EIXA\nBTwbbUQN6Ask5UIqtY/+SADg7OwEZ+eSEi+lUoWCIf8YLl3zDVMHaPjCCtrhS/CrDUy5CAS+xj7e\nagIw5SLS2PNSdDJ7bIWQL4CHwI25rVAWI1sqNnIPQgghxLKcSl9iP37++Wfs3bsX7dq1Q/369REc\nHAxfX19IJBLcuXMHhw4dglis/of5zTffxJdffqn3Op999hmOHz+OqKgoTJ8+HUeOHEHnzp0hkUjw\nzz//4MGDBwCA+fPno3HjxhX18AghhBCL0ylrs9X+SP/RV9omDWRngLjacEYSoC5vy80tmSYrFQRD\n0G4qcFzrwy7PqkDXL9WZSLYQRNLgC4FqzQDR/ZJjQa8DfKFOLyFb7ZEEqINgeXIJc1uUmwE/d+/K\n2xAhhJBX2isVSGrTpg0uXLiAqKgoREVF6V0TGBiImTNn4pNPPoGTk/4fD5/Px4EDBzB58mRERkbi\n6NGjOHr0KHPe1dUVP/zwA6ZPn26Rx0EIIYRUFt2yNtvsj6Shr7RNt9G2jQeSXNmBJIlUDl8pp89O\ny3FA85EVvDMz8Qhm385LBaAOtmgLtNGMJAAI8PTF47RnzG1RbibCq9WpxB0Ra7J9+3Z88803AIA7\nd+6Uu6fblClTcPLkSbRt2xbr16835xYJMYvTp09j48aNuHfvHvLy8qBSqTBq1Ch88cUXzJrLly9j\n7dq1iIuLQ15eHpRKJfr06YPffvutEnduf16pQNLMmTMxc+ZMxMXF4fr160hJSUF6ejpcXFwQFBSE\npk2bom3btgYDSNo8PT2xefNmzJs3D4cPH8aLFy/g4uKCevXqoW/fvkwfJUIIIcSeKLkT22y4PxKg\nm1Glys6FRCpjHeM2rLY13NI8mUwO5KWwF3lUqcAdmZlHEPt2XhoAIE1sXxlJ2riPjdieO3fuYODA\n0qcPGvP5559jzJgxyM7OZioiVNqTAsooMTERDx48QEhIyEvty5CcnBycOXMG586dw9OnT5GSkgK5\nXA5/f39ERERgwIAB6NChg8H7nz17FhMnTtQ5zufz4enpCS8vL9SrVw/NmjVD165dUbVqVT1XqRiZ\nmZnYsWMHTpw4gaSkJCiVStSoUQOtWrXCkCFDLPYztmc///wzPv/8c53jaWlpzNd//fUXxo0bp9NH\njqqEzO+VCiRpREREICIiwizXql27NqZOnWqWaxFCCCHWzu5K27zZGVWqLDFk3B5Jtp6RxAmESaQy\nQJzKXuTJyeqxJdyMpHz9GUm22iMJAAI9dRtuE9smk8mY4E95ZWbazvPg1KlT6Nmzp8FG8adPn8bv\nv/+O7t27Y+vWrfD31/3zmp+fX+rP7PDhwwAAR0dH9OnTBwsWLDDb+z5TrV+/Hp9++imys7NZx69e\nvYqdO3di1qxZuHDhAlq3bl2h+7JlqampmDNnDgD18KvPP/8cwcHB4PF48PVVTyOVSCSYMWMGlEol\n2rRpg3nz5iEkJAQODg7w9LSO7OlmzZox+9QXFLUlr2QgiRBCCCHlo8q2t9I2TiApR8/UNlvPSOIE\nwuwvI4kTSBKnoqCoENmSkueqA88B/h4+Fbwx8+FOnKNAku1r2LAh7t27p/dcbGwshgwZAgCYNWsW\nxowZo3ddYGAgAGDIkCHo3LkzAJhUWVEZZDIZAgMD0atXL7Rs2RLVq1dHtWrVIJFI8OjRI6xevRqX\nL1/GyZMn0atXL1y6dAnOzs4Gr/fzzz/j7bffBqDOwhKLxRCJRIiJicH+/ftx8+ZN7N+/H0ePHsWi\nRYswefLkCnmc33//Pb766isAwBtvvIFJkyahcePGcHNzQ3JyMs6dO4e///4bcrm8lCsRbSdOnEBR\nUREAddZRcLDuhx8XLlxAbq76w66VK1daZRbSgwcPIJFIkJGRUfpiK2edf9MQQgghxCqpOKVtDrae\nkcTZv1Lv1DbbDiS5uPBZtx89eY5WuclgdVGxp4ykvFSIOKVf/h4+cHQoX98Ya6ATSKLSNpsnEAjw\n2muv6T2Xk5PDfB0QEGBwnYa3tze8vb3NuDvz6969O5KTk8Hj8XTOtW/fHmPGjMG4ceOwfv16XL9+\nHbt378bgwYMNXq9KlSp6fy5vv/02vv32Wxw4cABjxoxBZmYmpkyZAl9fXwwdOtSsj4nrxIkTTBBp\n9OjRWLNmDSuwFxERgTfffBPff/89CgsLLboXe/P8+XMAgLu7u94gkvYaAKhbt26F7OtV5lDZGyCE\nEEKI7dApbbP1jCQvD0D7jY1YAplEylpjy6Vtubn5iLl+m3VMLpXCsahkAhgc+YCrbwXvzIy4gSSJ\nCKJsEeuQLfdHAoAgTmlbWq7tf5pNXi0CgUBvEEmbdv+by5cvv9T3e/vtt3HmzBm4uqp7xE2aNInJ\nVrEEpVKJSZMmAVBnm3GDSNp4PB5cXFwsthd7pMngMvZz087yop+v5VFGEiGEEEJKpSoohOLcVSgf\nP2efcLehUfF68JwcAU83QDPVTKWCY74McFW/CHVw4Olk9NiKIoUCh45FQSotYB3ngd2MV+URXOob\nPKvmLAAE3oA8R31bWYzs9HjWElue2AboZiSli7MqaSfEGpk6tU0ikeDPP//E0aNHkZaWhsDAQHTu\n3BkTJ05k+sxwFRQUoG3btpBIJBg2bBi+/vpro3tZunQpVq5cCScnJ/z7779lGkCkvQeB4OUD+G+8\n8QY+//xzzJs3D7m5uVi5ciVrupc5HT16FE+ePAEAfPHFF+UqMZw5cyYOHTqEZs2aYcuWLQbXjR8/\nHufPn0eXLl2watUq1rnly5dj+fLl8PT0xJUrV6BQKLB9+3bs2LEDz58/R1BQEHr37o2JEyeCzy/5\nt+3FixdYtmwZYmJikJ2djTp16mD8+PHo2bNnmR+HIS9evMBff/2F6OhopKWlQSAQICwsDG+99RaG\nDBmit5Sxb9++ePjwIVMKlpOTY1ImX8OGDVnnuH8uLly4gG3btiE2NhZZWVnw9PRkstwGDRqERo0a\nGXwcBQUF2Lp1K44fP46EhARIpVIEBgaibdu2GDt2LGrUqKFzn7Fjx+LChQuQStUfVC1ZsgSRkZGs\nNbbWN4kCSYQQQggxSpkignzeCqhSdbMg5D+ugev8qXCoElgJOzMPBx8vKDWBJACuBQWQ/RdIErqW\n/im6tXr8+DnEYonOcRXYj0fm7AvbDgdCPblNE0gCIM1IYJ229YwkbiCMMpKINlOmtt29exe9e/dm\nlf8A6nKsP/74A0ePHtV7PxcXFzRu3Bjr16/HsmXLMHv2bFYAQptKpcLvv/+OhIQEvP3222WeYq29\nB2PT28pi0qRJmD9/PpRKJfbv32+xQNKePXsAqHtU9evXr1zXSEpKwoMHD/Q2Gtf24sULPHjwAHXq\n1NE5l5GRgQcPHsDLywv5+fkYOHAgjh8/zlpz9OhRbN++HSdPnoSrqysOHz6Md999FzJZycTSmzdv\nYufOnVi4cCG+/PLLcj0ebUuXLsWsWbNQUMD+YOPy5cvYtm0bvvvuO+zduxfh4eGs8/Hx8awG68XF\nxSY1qeeu0fy5UCqVmDBhAtatW2fwvgsXLsRPP/2EWbNm6Zw7f/48hg0bhsTERJ1zJ0+exI8//oif\nf/4Z06dPZ517/vw5a08ZGRk6fZJsrW8SlbYRQgghxCBVQaHBIBIAQJSlPl9gu/0euJPbXLUei6sN\n90d6HP9C73EVzxFFvJI3gjlKt4rakuVwytvk2ewX+bY8sQ0AfISecNLq8ZQnl0BaSM16iWmysrLQ\nvXt3PH/+HHw+H5999hmio6Nx/fp1rFmzBg4ODhgwYIDBBtAffvghAPUbXU3ARJ+TJ08iIUEdxP3g\ngw9M3p9EIsGqVauYhtj9+vVD7969Tb6/MYGBgahfvz4A4Nq1a6xgiTlpSvEiIiIgFAoRExODSZMm\noW3btmjSpAl69+6NH374ASKRqJQrmc/06dNx/fp1/Prrr7h69SouXbqETz75BIA6I2fOnDm4desW\n+vXrh/bt22Pv3r2IjY3F3r178cYbbwAA5s6dixs3brzUPlauXInp06ejoKAAdevWZfpgnT9/Hp9+\n+in4fD4ePnyIjh07IikpiXXfAwcO4N69e0ymjre3N+7du6f3P81UNwC4ffs265wmQ2zVqlVMEKlv\n377YuXMnrly5gqtXr2LPnj344Ycf0LhxY73Pk6ioKHTv3h2JiYmoVasWFi9ejIsXLyI2Nha7du1C\n586dUVhYiBkzZmDt2rWs+27YsAH37t2DUChkfjfc/WtKI20FZSQRQgghxCDFuauGg0j/UaVmQBEV\nA+cebStoV+bF8+UEkuQlgSRb7o8kkxkONMgcPeGsUP9e8x1su2E6AMCdnRGnFCezbgd62nZGkoOD\nAwI8fZGSk84ce+/3qRja9n/o37IXhHzbfZ4Sy5szZw5SUlLA4/Gwd+9eVpCmSZMm6NevH1q3bo0T\nJ07ovX/Lli3RuHFj3Lx5E2vXrjXYBFvz5jk4OBhvvfWWwf1oyq8AdTmSSCSCSqVCaGgoZs+erTcT\n5GU0aNAA9+7dQ1FREVJSUlCrVi2zXh8AHj9+DAAICwvDl19+iR9//FEnO+zo0aNYuHAh1qxZY/HG\n32KxGHv27MGVK1dYmUutWrVCQUEBVqxYgT///BNnz57FkCFDsHHjRib7NiIiAm3atEHdunUhFoux\ncuVKrFmzplz7SE1NxcyZMwEAjRs3RlRUFDw8PJjz7du3R9euXdGnTx9kZGRg2rRp2LVrF3M+LCwM\nAODnp/473NHR0WBpW1BQEPN1/fr19ZYX/v333wCAN998E/v27WOda968OQBg9uzZOkFVuVyOYcOG\nobCwEB07dsThw4fh5lbyIUxERAT69++PUaNGYfPmzfj000/x3nvvwdNT/foiNDQUAJifsb+/f6lN\n9K0dBZIIIYQQYpDi/DXT1tlyIMmHHUjRzkgSCl0rejtm4+oqALLFes9JHL3h+V8gqdjVtrN1AKhL\n27TkpcdDO/H+QXI8pIVymw24JIheIDM/h3UsJv4WYuJvYdmxzdg6dTHCAkMrZ3P/+WPtjkr9/hVl\n4geDKnsLZSKVSrF582YAwODBg/Vm+vj7+2PRokV45513DF7nww8/xKRJk3Dq1CnEx8frBGMyMjKw\nd+9eAOqJZcZ6BGnKr7jq1KmDWrVqGezxVF7aE+2ysrLMHkgqKipiMljOnDmDXbt2ITg4GF9++SXa\ntm2L4uJinDlzBj/++CNycnLw/vvvw8fHB2+++aZZ96FNpVJhzpw5esvfJkyYgBUrViA/Px8PHz7E\n6dOndUq4AwMD0bdvX0RGRiIqKqrc+1i7di0TlFm1ahUriKTRu3dvvP/++9i8eTP27t2LFy9eMIEX\nc9NkhDVp0sToOm6Prk2bNiEpKQmOjo7YvHkzK4ikwePxsGTJEuzYsQO5ubnYtWsXxowZY77NWxkq\nbSOEEEKIQarcPLOus0bcyXP2kpFUp5bhF+Iyx5LgmVeI7hsNm8Od3JbPLh/5K2o3ui54Hwki/eV+\n1kxaKMfQZR+jUFGk9/zT9EQMXfYxlboRva5evYr8fHUPuGHDhhlc16dPH1bAhWv48OFwd3eHSqXS\n219m48aNzEj7sWPHGt3TlClTmHKeq1evYsOGDWjXrh3OnDmDIUOG4IMPPoBSqTTh0ZlGu4mzQqEw\n23U1NI8bUAeq/P39cfnyZUydOhXNmjVDy5Yt8fnnn+P8+fMQCoVQKpWYOnUqiouLzb4Xbe+++67e\n46+//jocHNRhgB49ehjsZaUpb9M0ES+PU6dOAQBq166N1q1bG1w3atQoAOoeRmfPni339ytN7dq1\nAQCRkZF4+PChyfc7ePAgAKBNmzaoXr26wXU+Pj5o2rQpAODSpUsvsVPrR4EkQgghhBjE89L99PBl\n1lkjnUBSgZ0EkupUh6en/v5HUq1AUmBY/YrakuVwStuCHHTfLNpqwGXPlWN4mq7b2FXb0/RE7L16\n3Oga8mrSfrMcERFhcJ2joyMaNGhg8LyHhwcTiPrrr790giCasraOHTuibt26RvekKet57bXX0Lx5\nc4wePRrnz59n+vesW7eOKX0zB+1pXj4+Pma7roZQKGRl9MyePVtvsKFhw4b46KOPAKhL4S5evGj2\nvWjw+XyDAQ8nJycmo8bY70oTWCwuLi53bynN869x48ZG12lnCJUlwFNWmp//ixcvEB4ejs6dO+O7\n777D2bNnjT7GuLg4AMCtW7fQsGFDNGzYEA0aNECDBg3w+uuvM/+Fh4cjNjYWACq0H1ZloEASIYQQ\nQgxy6tDMtHUdm1t4J5ajU9omL5kqI7ThZtvOTk7o06uj3mCSdiDJyatqRW7LMjgZSQF6AkmAbQZc\n9sbo71vDtcfGHhepGGJxSXmrsYwjU85rmm4nJyfj0KFDzPHz58/j/v37AMrWZFsbj8fDjz/+iJCQ\nEADqBs3m8uzZM+brwEDzTxjl8XisrB5jJWu9evVivr52zbTS8fJwdTVelq3JSDK2TrMGACtwOGvW\nLCYQyP2P20tJ8/wrLYDn4+PDBONyc3ONrn0Zffv2xZIlS+Dh4QGlUolz585h7ty56NKlC3x8fNCv\nXz+9Ab6srCxmb3fu3MGdO3dw9+5d3L17l9Uw+/79+5BI1NNSLdXY3VpQjyRCCCGEGOTUqQWKdh03\n2nCbF+xv44EkIxlJNhxIAgAvL3cMGtATUdHX8Ohxydhv7UASN5vHJrmzeyQFGggkAeqAy7B2fS29\nI7NJF2ebtC4jz7R1lmJrvYNeFdq9XuRyucEyJqD0N75NmzZF8+bNERMTg7Vr16JvX/WfI03wwMvL\ny2A5lSmcnZ3RoUMHbN26FQ8ePEBhYSH4fH7pdzSisLAQ169fBwDUq1fPIhlJAPDaa68xpUzaTZ+5\ngoNLgt6ZmZkW2YulJScn6+1xBeg+JldXV+Tn55f63JLL5Uxzcs1kM0uZNm0axowZgwMHDuDMmTM4\nf/48Hjx4gIKCAuzbtw8HDhzA8uXLWVPUBAIB8vLyMGDAACxcuNCk7+Pu7m6ph2AVKJBECCGEEIN4\nLnwI5k2GfN4KvcEkXrA/BPMmg+fyci/2K5PeQJJKBfB46obVNs7ZyQm1wkJYgSSJJpDE4wFu9tBs\nm1PaxjMcSKrsgEtZBXj64H5y6ev8PSzzBpnYNk2GD6AupzIW5DClF86HH36ImJgYHD58GMnJyRAK\nhdi5cycAYOjQoaVmwpRG08+Ix+PpNIAuj3/++Ydp9ty1a9eXvp4hTZs2ZQJJ+fn58PfX//dqXl5J\nP0FDgYbS+kMVFBQYPW9pv/zyC+bMmaP3HDfjq1q1akhPT8ejR4+MXlO7nK1atWovv8lSaEo1NeWa\nIpEIO3fuxNy5c5GVlYWZM2di6NChTJZejRo1kJ6ejuTkZJuftmYuVNpGCCGEEKMcqgTCdelX4AX4\nso47vdsLrku/gkMV285o4bkKAEFJIMxRqQK/SB2IsOUeSdq4j0Pq6K3+wtUXcHTWvYOtcfWFQutl\nrbuDEkLofzNmawGXfs17mLSuf4ueFt4JsUWtWrViAjJHjx41uO7u3busEjBDhg4dCk9PTxQXF2PD\nhg2IjIxksk3KW9amTZM9FBISwmqSXR55eXn49ttvAajLtKZNm/bS+zNEe+Ld5cuXDa7TPmeoJ9Xz\n58/1HtcoLShjaVWqVDFY2ubry36d0K5dOwDqMr6UlBSD1zxw4ADzddu2FT8BNjAwEB999BGWLFkC\nQJ2dp3kuAiVByCtXrrxU83HNNENzNpOvLBRIIoQQQkipeC58gPPCx7lnW5vORNKm0yepoBB8vjOc\nnMw7hrqyCIXsLAGZ439ZWB6GsxNsCo+HAgE7QGSoT5KtBVz6t+yFmgEhRtfUDAhBPxt7XKRiBAcH\no3v37gCAFStWGHwz/9VXX5l0PTc3N7z//vsA1E2xNWVtjRo1QrNmpvXUMyQyMhK3b98GAPTr1++l\nrpWVlYUBAwbg8ePHANSZVOHh4S91TWO6du3KNK7+7bff9E5kk0qlTBNxX19fdO7cWe+1kpKScPXq\nVb3njhw5gqSkJPNsugJoprEVFxcbfI6lpKRg8eLFANST4l72efQyPDxKBodol4VOnDgRzs7OUCqV\n+PDDD1FUpH+KZmk0GU4ZGYbbBdgKCiQRQgghpFQqlQqq3HzWMZ63p4HVtkenvE1eaDfZSIBuRpLM\n0RNK8AA3284m0ybwZU8o0je5zRYDLkK+AFunLkZ1f/3lHjUDQrB16mII+fbzfCXm9f3338PR0RHZ\n2dno1q0bayy5SCTC6NGjceLEiVIna2lomm4nJCQw06xKy0YaPXo0Vq1ahadPn+oEWRISEjB79myM\nGTMGgHqqm6mBLW3FxcWIjY3Ft99+i/DwcJw8eRKAusG1JtNEnyFDhjAZNeXl5OSExYsXg8fj4erV\nqxg4cCArs+jhw4d46623mGyW+fPnM5PT9Bk2bBjOnj3L9A0qLi7Gnj17MHLkSGbN8+fPmfPWqkWL\nFkz52IYNGzB58mRWEOXixYvo1q0bsrKy4ODgwASULOWdd97BihUr8OjRIygUJf9GqFQqREVFMZMD\ng4KC0Lx5Se/HsLAwfPfddwCAU6dOoWPHjjh9+jTrGkqlEklJSdi8eTOGDh2Kp0+f6nx/zeTEAwcO\nIDU11RIPscJQjyRCCCGElC5fCmi9YILAxW6ykQBA5cnuVeFaUIAicT4KJVLw3Szb+LMiODo6QODC\nh/y/RuIqngNkjp5ws5eMJACOnlWA5BvMbW7DbVsOuIQFhuLs11vQ4NM3ISuUM8e/fXcaRnQcYJOP\niVSc5s2bY9WqVfjwww9x7949tGnTBgEBARAKhUhMTIRKpcK6deuwd+9e3Lx5s9TrRUREoHXr1kxA\nysXFBcOHDzd6n5MnT2Ljxo0A1GVm/v7+8PDwQHZ2NjMRCwBq1aqFPXv2GO3lBKgnh2ne2KtUKuTl\n5SErK4vVP8jNzQ1z5szBrFmzWBPIuJ4+fWqweXRZ9OnTB4sWLcLMmTOxb98+7N+/HyEhISguLkZy\nckmjs5kzZ2Ly5MkGr1OvXj3k5OSgS5cucHV1RZUqVZCWlgaJRAJ3d3cMHjwY27dvx61btxAaGorJ\nkyfjiy++eOn9W8rq1ashEolw8uRJrFy5EqtXr0ZISAikUinS09MBAI6Ojli5ciW6detm0b0cOnQI\n+/fvB6Duw+Xv7w93d3eIRCJm2ppQKERkZKROo/dZs2ahsLAQ33zzDS5duoRu3bpBKBQiKCgIMpkM\n6enprCDpN998o/P9x48fjwMHDuDp06cICQlB9erVme8zY8YMTJw40VIP3ewoI4kQQgghpVJli1m3\nuRk8tiz34VMUXLvDOuYqL4THi1RkT/gGuQ+fVs7GzIw7gU7q6AV4BBtYbYMMTG6rX7UWFo34Eqfn\nRiIsMLQydmYWQr4AIb7s31e7+s0piERMMn78eJw9exYdOnQAj8dDeno6nj17hsaNG+PAgQMYPXp0\nma6nyUoCgAEDBpQ6DS0yMhKffvopIiIi4OzsDJFIhCdPniArKwuurq5o27Ytli5dilu3bjFZG8ak\npKTgwYMHePDgAR4+fIiUlBQUFBSgRo0aGDBgAFavXo2UlBTMnj3baBAJKCkzql+/vgmP3LgZM2bg\n/Pnz6NOnD5ycnPDixQskJyeDz+ejW7duOHr0KH799Vej1wgICMDZs2fRuXNnyOVyxMfHQyKRoG3b\ntjh37hyWLVvG7DUrKwt+fn4vvW9Lcnd3x5EjR7B69Wo0adIESqUSz549Q3p6Otzc3NC/f39cuXIF\nEyZMsPheDhw4gGnTpiE8PBxOTk5IT09HQkICJBIJgoKC8MEHHyAuLo4pB+WaM2cObty4gdGjRyM4\nOBhSqRQJCQlMdlGNGjUwevRobNu2DWFhYTr3f/vtt7FhwwaEh4ejuLgYCQkJzPPY1srdeCprz4cj\nLNnZ2UwTs6ysLIuNsCSEEEK0Fcc9gHzuUua2w+u14frDJ5W4I/MolEiRPeEbuOdLWcfv1gqBVOCC\n5nefIN9dCJ8/v7X5zKQDh88hKVnE3O6dtgQ1Og8B2k2pxF2Z0anvgTM/Mjd/l/rjR2kgdn+yEm3r\nNa3EjZnPu4unIPpBDHP776mL0bVBG4t/3/j4eBQUFMDFxQW1atWy+Pd71cnlcqYsJjAwUKeBMVdO\nTg7zRtaU8iyJRAKRSITAwEBWeVVSUhLy8vLg5uaG0FDjQddNmzYx/W9OnTpV5oloWVlZyM7Ohpub\nGwICAuDoWHo/OolEghcvXugcd3Z2hqenJ7y8vHSySEqTkJDAPKf379+Pt99+u0z3N0ahUCA1NRVK\npRJBQUFwcXExun7IkCHYvn072rVrh+joaADqhuEZGRnw8/ODp2fJBzjFxcVISkrSuW5GRgYyMjLg\n6OjI9GzS59GjRyguLoa/v7/BCXO5ublMT6369eubZYoeoP49pqeng8/nIzAwkGlAbYzmcTk5OaFO\nnTp615T1z4FKpYJIJEJ+fj68vb3LFZDLyspCTk4OPDw84OfnV2rQUlteXh7S09NRWKjOFA4ICDB5\nD+X5O9nccQQqbSOEEEJIqVRZuazb9pKRlLrrOPw4QSRA3Wxb9d+LZvd8KVJ3n0T1EX0rentm5cZp\nuC119NLJ4rFpHvozkoK89L9JskWBnuyAQlpuZiXthFiSQCAoU78eb29vpomvKdzc3PRmS5Rl7Pr6\n9esBqHvHdOnSxeT7afj6+pYaIONyc3Mz++j1I0eOAAA6d+5s1iASoO6bFBJivFF+aTw8PFgNoDUc\nHR1RvXp1nePGAkPajAWZNLy8vODl5VXqurJyc3Mz2h9KH1MeV1n/HPB4PAQFBZVaRmlMeZ7HGoZ+\nt7aCStsIIYQQUipVDre0zfwvLisD71Ks3uOu8kK4/tdPCAB4F2/oXWdL9Je22VEgyUBpW5CXdZd9\nlEUgJyiWLqZAEql49+7dQ1RUFAD1NCtzZapUhmPHjoHH4+G3336r7K0QYlMokEQIIYSQUinttEeS\nk0Sm97irvAACeaHWOrnedbZEbyDJzjOShC6ucBeU7ZNvaxboyQ6KpeXaVk8NYvtycnLw0UcfQaVS\nwcvLC+PHj6/sLb2UxYsX4/Hjx2ja1D7KXwmpKFTaRgghhJBS2WuzbYWbK5CTp3PctaAQSq1eBwo3\n229oLHTVU9pmzxlJPAWCPO0nGwnQza4S5WYZWEmIefXv3x937tzBixcvIJerA+vz58+3+X6t1POL\nkPKhjCRCCCGElEqVbZ89klStGzFfK7XKM/iKYrjKS8ZIq9o0qdB9WYLQWcm6LXXyAQT2UaIIQCco\nFuCgQBXP8vWusFbcfk8iMWUkkYqRkJCAR48eQS6Xw8fHB7/++iumTZtW2dsihFQSykgihBBCSKl0\nM5LsIwARPLAnso/9C4FUjgK+M9y0gkcuReoeO/nuQgQP0D8K2JYIlezMK4mzL2DDvU10OLmg0NkN\n/CIJAMCRB4R52E9ZGwAEeHIzkqhHEqkYe/fuhVwuh6enJ6pUqWLTfZGs1aJFizBv3jwIhbY9IZS8\nGiiQRAghhJBScQNJDnaSkcR3E0LwzWRk/rQGjopiViCJB3UQSfDNZPDdbP+FvbAom3VbyvOASqWy\nqzeE+U4e8P0vkAQAtVzLNgrc2nFL29Ko2TapIDVr1qzsLdi9qlWromrVqpW9DUJMQqVthBBCCDFK\nVVQE5EtLDjjwAA/3ytuQmXnVqwn+1x9B5sIOOuS1bgSfP7+FV72albMxM+PL0+GkLGkaruQ5oqCg\nqBJ3ZH45juw+UCF8+wmSAYCX0AMuTiXPU2mBDBK51Mg9CCGEEPOjQBIhhBBCjNIpa/PyBM/Rvl5C\nFCpVOoEkvzfq2UUmEiM/DcJidq8rqcz2p9FpS1exf4dVnJQGVtomHo+HAE7fJ5rcRgghpKLZ16tA\nQgghhJidvU5s0yaVySETsIMQ3AbjNi8vDW7cQJJUVkmbsYxUBTsDyR/2lXEFAIHcyW1imtxGCCGk\nYlGPJEIIIYQY9SoEkmQyOWQuLqxj3Mdt8/LSICxmlyRKpfaVkfS8kJ2B5K20v7KvIE/25DbKSCKE\nEFLRKCOJEEIIIUa9CoEkiVRfRpKdBZLyU+2+tO2pjJ2B5FaUZ2Cl7QrwYpe2pVPDbUIIIRWMMpII\nIYQQYhS3xIvn41VJO7Ecmd5Akr2VtokgLGY/RnsqbZMUyPCsoBgQlBzjy7MN38FGBXlxM5IokEQI\nIaRiUSCJEEIIIUapcrgZSR6VtBPLkcrkOs22lVn2lpGUBqGK/buzp9I2UW4G0pXsl7a8vNRK2o3l\nBHpyeyRRIIkQQkjFotI2QgghhBilyuIGkuwvI0kqVQeSVNoHxflQFRdX1pbMq1gBSNJ1StuePk/G\ngcPncO9+PIoUikranHmk5WZCxAkkIV9UOZuxoCBus23KSCKEEFLBKJBECCGEEKN0M5Lsq0eSSqWC\nTCaHysEBBXxn7RNQ5dhJjx1pBqBSQVicwzqsUBQjKVmEc9HXsGP3ceTm5lfO/swgLTcD2SpHFGpH\nAwvygEJJpe3JEgIoI4kQQkglo0ASIYQQQoxSZXF6JHnbVyBJXlAIpUodfZBy+yRl2UmfpP9KvLgZ\nSdrEYgkOHYuy2cwkdWYOTzcrKS+tUvZjKbo9kmhqGyGEkIpFgSRCCCGEGKRSKqHKZWfl2FtGknaf\nIG6fJPsJJKmDKQKlBA4qw4EisViCx09eVNSuzCpNrA6o6ASSto8BYjYChdJK2JX5+Xv4sG5n5udA\nUWybwT9CCCG2iQJJhBBCCDEsXwootPoEuQrAE7hU3n4sgBVI4jw2u5jcVigFbu0BAPCggmux8Sbi\nj588r4hdmZ1meplOICn5BrB3KrC8DZD5pBJ2Zl58J2f4unszt1UqFTLy7G86HSHEvhQXFyM9PR2J\niYlITExEUVGRzhqlUonMzExmTUFBQSXslJiCAkmEEEIIMUiVbd/9kQBAKpMxX+tkJGXb+OS2zCfq\nAMrNv5lD3D5JXDKZbb5wF2Wrs650AkkaWQnAxgF2kZnEndyWRg23bVpeXh7zxln7v+TkZOTn227f\nMlumVCqRkZGhN9hByubu3bvo27cvPDw8EBgYiNDQUISGhuLOnTvMmmfPnmHw4MHw8vKCv78/s+bM\nmTOVuHNiDAWSCCGEEKKXqqAQRScv6D1uT9gZSdxAkg1nJBVK1YGTrATWYTcjfZIAwNXVNjPO0kTq\nx5muMhBIAtQ/i7idFbQjy+GWt32y+Ttsid4HaaHcwD2INVuxYgXzxln7v2rVqsHDwwMBAQEYOHAg\nTp8+XdlbtWsymQy//vorWrRoARcXFwQEBEAgEKBGjRqYNGkSLlzQ/feQGPfixQu0a9cOBw4cgEwm\ng5eXF6pVq4Zq1aqBz1f/e5udnY327dvjn3/+QX5+Pjw8PJg1AoGgkh+B+nmhCe4W28skVzOgQBIh\nhBBCdChTRJBNWwjFfvangapk9XFliv2MVZfKjPVIsuGMpLgdOkEkwHjDbQCoU7u6pXZkUaL/yrsM\nZiRp2HggKUH0Ajee3mUdu5P4GDMjf0DXBe8jQWSbPa6IWmBgIPMmukqVKuDz+cjIyMDu3bvRrVs3\nzJw5s7K3aJdu3ryJhg0b4rPPPkNMTAyKi4vh5+cHT09PPH/+HH/88QeGDRtW2du0OUuWLEFOTg7c\n3d0RExODnJwcJijz+uuvAwDWrVuHxMREODo64tSpUxCLxcyazp07V+4DAHDo0CEmuJuSklLZ27Ea\nFEgihBBCCIuqoBDyeSugStU/DUqVmqE+byeZSXbbIylul97DQoXhx+Tp6YY6tUMttSOLKVQUIUuh\nnrxXaiBJkl4BO7IMaaEcQ5d9DEmB/vK8p+mJGLrsY8pMsmHHjh3TKW3bvXs3goKCAACLFi3Chg0b\nKnmX9uXOnTvo1q0b4uPjUaVKFaxfvx45OTnIyMhAdnY2UlNT8eeff6J9+/aVvVWbEx0dDQD43//+\nh2bNmhld06FDB3Tt2rXC9kZeDgWSCCGEEMKiOHfVYBBJQ5WaAUVUTAXtyLKMTm2z5R5JEv1ZY4Yy\nkjw93dCnV0c4O5USiLFCInFJj6BSA0luARbejeXsuXIMT9MTja55mp6IvVePV9COiKU5Ozujf//+\nOHjwIHg8HgDgxx9/rORd2Q+FQoGRI0ciKysL1apVw6VLlzBmzBh4epb0AwwKCsL48eMRGRlZiTu1\nTWlp6t51VapUeak1xPrY3isFQgghhFiU4vw109ZFxcC5R1sL78byWM22uT2ScsRQKZXgOdjgZ29u\ngQDu6hzmNtt2gRytO7RHndqhNhlEAgBRbkngM720QFLEuxbejeXsjTlh0ro9V49jWLu+Ft4NqUjN\nmzdHu3btEB0djYcPHyIlJUXvG++ioiJkZ2fDy8sLLi6m9TtLTU2FQqGAh4cHvLy8WNcSi8Xw9fVl\nglhlIZfLIRaL4ePjA2dn53LvQ6lUIj09HQ4ODggIMG8geOvWrbh+/ToAYNmyZaheveylvYmJ6uCu\nr68vhEKh3jVKpRLJyckAAD8/P7i6urLOG/sd5Ofnw8eH3ReNKzc3F05OTnBzcyvz/k1VUFCA3Nzc\nUn+fRUVFTHBILld/UCOVSpmfE5dUKmXWaq9xc3Mz+LjFYjHkcjn8/Pzg6OhYpsehVCqRnZ0NJycn\n1s+aq7i4GCkpKcjKymKOpaam6qyrUqVKmfdgD2zwVREhhBBCLEmVm2fWddZOOyOp2NEREGo19yxW\nAmJJJezKDCIG6j3MzUhyF/ARXj/MZoNIAHtqmdFAkm+YTQeS0sXZJq3LyDNtHbEtr732GvO1Jijx\n7NkzLFmyBD179kRgYCBcXFwQFBQEgUCA+vXr48svv2S9EdandevWCA0NxTfffAMA2LNnD1q0aAGB\nQAB/f394eHhg6NChiI+PL3WPT548wcSJExEaGgpXV1cEBQXBxcUFTZs2xdKlS1FYaLgkmruPo0eP\nokuXLhAIBAgODkb//v1L/f5ltXr1agBAzZo10a9fvzLfXy6XM/1z/v77b4PrRCIRs+7QoUM657mP\n/dChQ2jTpg0EAgF8fX0REBCAefPmoaCgZKpmTk4OPv/8cwQFBcHb2xvu7u6IiIjAgQMHyvw4DMnM\nzMTs2bNRp04dCAQCBAUFgc/n44033sAPP/zABIG0xcbGMo9VE3hZvXq13obyoaGhiIuLA6B+3mkf\nnzp1Kuu6t27dwrBhwxAQEAAvLy/muVW1alW899572L17NxQKhd7HUVxcjL/++gudOnVintfe3t7w\n9fXFsGHDcOvWLZ37pKSkIDQ0FB9++CFzrEWLFjr7f1X7JtnuKwZCCCGEWATPywMqE9fZuqIiBYqK\nSl54OjjwwPP1gkoruKTMzoWjtw0+1ohBQNQinYbb3ECSBJU/FedlpWllJMngAJmKB1ce51nsGwaM\n2g3w9WcM2IIATx/cTy59HXeqG7EP2qPonf4L/H7zzTfYuHEjc1woFMLZ2Rm5ubl4+PAhfvjhB/z9\n9984efIk6tSpU+r3+O233/Dpp5+Cx+PBz88PYrEYEokE27Ztw8GDB3HkyBGDvYL++usvfPjhh0yw\nyNXVFR4eHsjKysKNGzdw48YN5jq+vr5G97F06VLMmDEDgDrTRyAQIDAwsNT9l0V+fj4uXrwIAHjr\nrbdYWVeZmZng8/nw8Kj4v/tXrFiBqVOnMr8DTb+mb7/9Fnfv3sX27duRnp6OHj16IC4uDkKhEH5+\nfsjMzMStW7fwzjvvYPv27Rg0aNBL7eP69evo06cPEwxycnKCj48PsrKycPv2bXz55ZfYtGkTjh49\niho1ajD34/P5qFatGgB1Bk9xcTHc3d0NZv+IRCIUFRVBKBSyMpC0nyOHDh3CgAEDmOeWo6MjfH19\nkZubi5SUFOzYsQM7duxAQkICatasybp+eno6+vfvj3///RcAwOPx4O/vj8LCQmRnZ2Pr1q3YuXMn\n1q5di5EjRzL3c3JyQrVq1SCTyZhgbHBwsE72kZMNfwjzMigjiRBCCCEsTh30N8TUWdexuYV3Ynna\nE9sAQOgqAM+H/WLXZhtu84XqwIlHMOuwa7EYUCmZ23J5IYqVSu69bYp2RhIASJ05b/66fgVMuQj4\n1a7AXZlfv+Y9TFrXv0VPC++EVIaYGHVfOh6Px5Rg1apVC7Nnz8bly5eRk5MDiUTCBB5++eUXeHp6\n4tmzZxg+fHip179x4wZmz56NKVOmICUlBenp6cjPz8fff/8NHx8f5OfnY8CAAUhP121Yv2/fPowZ\nMwaFhYXo2bMnLl26hPz8fKSlpSEnJwcrV66EUCjExYsXWW/WDe1j5syZmDp1KpKTk5GRkYHExETs\n3r27HD81w65duwblf3/3NWvWDAkJCRg5ciQ8PDzg7+8PT09PVKlSBRMmTDApG8scYmNj8cknn2DO\nnDnIyMiASCRCVlYWpk+fDgDYsWMHDh48iHHjxkEikeDEiRPIy8tDRkYGrl+/jrCwMKhUKkyZMoUp\nKyuP9PR0Jojk7u6ONWvWQCwWQyQSITMzE9999x0cHBxw//599O3bl5UpFRERwTSMDw5W//vz4Ycf\nMse4/0VERAAA+vfvzzq+dOlSAOo+Vh988AEKCwsRHh6OM2fOoLCwECKRCHK5HGlpadi5cycGDhyo\nU3JXWFiIt99+G//++y88PDywZMkSZGZmIj09Hbm5uYiNjUW3bt1QVFSEcePGMYFFQB00SkxMZLLW\nAODq1as6+9c8xlcNBZIIIYQQwuLUqQV4wf5G1/CC/e0jkCTlBJKEruD5eLKOqbJsuOG2X22g5zzW\nIUehDwTO7H4nMpltT/nS7pEEAIXunBf2NVrZdCaSRv+WvVAzIMTompoBIehnx4GkIoUC9+7H48Dh\nc/hn1zEcOHwO9+7Ho8hASYu9+Oeff3Dnzh0A6jIoTebG119/jR9++AEtW7ZkZXz4+fnh008/xd69\newEAV65cwdmzZ41+j6ioKHzwwQdYtmwZMyXO2dkZQ4cOxb59+8Dj8ZCeno4ffviBdT+5XI4JEyYA\nUAcDjhw5glatWsHhv95ybm5umDRpElP6dejQIURFRRndx5QpU7BkyRKLvklPSkpivn727BkiIiKw\nefNmyGQyBAQEgM/nIzU1FWvWrEGjRo1w5MgRi+1F4+zZs5gzZw7mz5/P/I7d3d2xePFiNG7cGAAw\nfvx4nD9/HmfOnEH37t2Zn3OTJk2YoIdIJMLRo0fLvY/vvvuOyUTasWMHPvjgA6avk5eXF7766iv8\n8ssvAIC4uDj8+eef5f5epYmLi2P2smbNGnTu3Jl5zDweD4GBgRg4cCB27tzJZEJpLF++HJcvX4az\nszNOnjyJadOmsbKeIiIicOTIEbRs2RIKhQJfffWVxR6HvaFAEiGEEEJYeC58COZNBgL0l8fwgv0h\nmDcZPM6EM1sklcpYt4WuAvB87SQjSUOWw77d8B0IPbxZh7gBNVshLZRjS/Q+HLl5jnW8WMgJhOal\nVeCuLEfIF2Dr1MUGg0k1A0KwdepiCPm2X66oT25uPnbsPo5z0deQlCxCVrYYSckinIu+hh27jyM3\nN7+yt/jSRCIRk+nw4sULXL16FV988QXef/99AICDgwO+++47k6/XpUsXNGnSBABw8uRJo2v5fL7B\na3fo0AF9+6obuG/atAkqVUnp6Pbt2yESieDg4IDff/+deZPP9c4776BRo0YAgF27dhnch4uLC9Mr\nyJJyc0v+bv/uu+8gk8nw/fffIysrCyKRCLm5udiwYQPc3NyQn5+P9957D0+ePLHonnx8fPDZZ5/p\nHOfxeEwPp7S0NEyePBmhoaE667p168ZMnLty5Uq59qBUKrFp0yYAQI8ePfDmm2/qXTdjxgympG3d\nunXl+l6m0O57ZKiZuSHLli0DAIwcORItW7bUu8bZ2RlffPEFAHUgLzMzU+86wkaBJEIIIYTocKgS\nCMHMMeyDLnzwpwyH69Kv4FDFvL0qKotuRpIAPE931rGiI+dRdPxfqAoMN4m1avki9m2PYAiF7ECD\nLQaSEkQv0HXB+5gZ+QOyJOxgX1TiM/Zi7s/AhoUFhuL03EidYNJHPYbj9NxIhAXqvrm0B0UKBQ4d\ni4LYQPN7sViCQ8eibD4zqVevXkwT3+rVq6Nly5b48ccfUVRUBDc3N2zcuBFdu3Y1eH+5XM4KRiUm\nJjLT3e7du2f0e7du3Rp+fn4Gz7/99tsA1P2DHj58yBw/deoUAHWZnSaLJyUlhfkvOTkZycnJSEpK\nQv369QEAN2/eNLoPb29vo3s1N6VSiR9++AFffPEFE4gRCAQYPXo0k0mVn5+P77//3qL76NixIwQC\n/YFg7R5XPXroL3N1cHBArVq1AJQ0ZC+ru3fvIicnB4A6+GeIg4MDE1y8desW8vIsM4AjPDycKVkb\nO3YsoqOjWYFMQ+Lj4/H06VMA6ibZqamprOem9vOyatWqAACVSsU0/ybGvZqdoQghhBBSKlU+exqL\nw2u14NyjbSXtxjK4PZJci4tRtO80e1FmDgpX/I2iXcchmDfZ9oJoeZxxxe5BEDpwAkk2VtomLZRj\n6LKP8TRd/zjpp7JCQHsKth0FkgB1ZlKDkLqsx/9G9fp2m4kEAI8fPzcYRNIQiyV4/OQFwuuHVdCu\nzC8wMJB50+zg4AAPDw/UrFkTHTt2xKhRo/SWekVHR+OPP/7A2bNnWeVaXNnZxqf51a1b1+j5evXq\nMV+/ePGCCQppsnQeP37MBK1KY2ySnClNwc3B3b3kQwMPDw+dKWEaffv2RcOGDXH79m3s378fKpWK\n1ZjbnLilWdrc3NzKtE4iYf95SUzU//clAFStWpXJJHvx4gVzXPt3ro/mOaBUKpGUlMSaLGguHh4e\n+PLLL/Htt9/i5s2b6NChA4KDg9GhQwe0b98e3bt3x+uvv65zP+3ssYkTJ2LixIkmfb/SphwSNQok\nEUIIIUQvVTa7N5ADp3eQPeBm4jifuADk6v9UVZWaAfm8FXBd+pVtlfXlc8q6PILgBlfWIW6Jn7Xb\nc+WYwSASAKQrOS9xuT8DOxDoyc4cEeXadznG4/gXpS8C8PjJc5sOJB07dozphWOKr7/+GgsWLGAd\n8/T0hFAoZKZLZWVlQSaTMROvDNH0wDFEu6xIO0ghFqv/rRAIBEYzmrQZW6cdMLEk7aBckyZNDGYC\nAUCbNm1w+/ZtZGRkID093ewT5DS4zaJfZp121o5CodBbCqeRkpLC/Dyk0pIPkUorJdP+XXEDV+b0\nzTffIDAwED///DOePXuG1NRUZlIbADRt2hS//vorunTpwtxH87wE2AHa0pi67lVHgSRCCCGE6MUN\nJHF7B9kDqYwdQBGIjH8SqUrNgCIqxrYys7j9gTyCIFTYdmnb3pgTRs+LuIEkO+mRpC3Ii/1GPI3T\ncNzemNoQXiYrKH2RnTh//jwTROrevTu+/PJLtGzZUicQ8+677xrtSaSh/cZbH025EwBWY2/N182a\nNUN0dLSp2zfIUtk+XNpZLJpyNkO0z+fn51sskGQpPB7PaBaT9kh77ceq/TvXx9Bzwtx4PB4++ugj\nTJo0CbGxsYiKikJ0dDTOnj2L9PR0XL9+HT169MDRo0fRvXt3nf1s2bKFOU7Mg3okEUIIIUQvbpNp\n7jQzW6aZ/JSays7icJWX3gdJERVjqW1ZBjeI4h4EVxvvkZQuNl6ioxNIsrPSNgAI5ASSRGL7Lsdw\ndTWtbM/V1cXCO7Ee27dvBwBUqVIFBw8eRJcuXfRm8zx79kznmD63bt0y+bx2+ZmmnCk2NrbUrCdr\nUq1aNSZLRyQy/ndEWlrJ36OGsqkKCgwHMS3VP8hUjo6OOmPrtf8LCAhg1mr/bkt7TsTGxgJQN0g3\nlvFkLjweD40bN8a0adPwzz//IDU1Fdu2bYOLiwuKi4uxcOFCZq12mV15G48TwyiQRAghhBC9uGPv\neT72kZGkPfmJ25jX1YSG2ioDpW9WqVgBSDmZKu6BcOMEkiQy2yptC/DUP1FQQ6R6FUrb2JPpRHae\nkVSnlmlvUuvUrm7hnVgPTTPlOnXqwMVFfwAtPj4eN27cMOl6N2/exKNHjwye1wSuateujZCQkmbv\nb731FgB1pk5kZKRJ38taDBw4EID6sWdk6P8zVFxcjLNnzwJQ9wwylHnz+PFjg9/n2rVrL7fRChQW\nFoaaNWsCALZu3WqwsXV+fj727dsHAGjbtq3B56AlOTg4YPDgwejfvz8AsJrAh4SE4I033gAArF+/\nHkVFReX6HtqPS2HjzfzNiQJJhBBCCNFLJyPJ1/Yzkkqb/CQwIZDE8/Iw97YsR5IOaL8JEPoBjs4Q\nunJ7JNlWRlK/5vonFmlkKp2g1H7vI80Eisv3JsJaBXr5sm7be0ZSnTrV4elpvHeOp6cb6tS2z6l1\n+mjKq2JjY5Genq5zXiqVYuzYsVAqlSZdT6VSYfLkyXrfLK9btw6XLl0CAJ2mxf369WPKxGbOnGlS\n4Opl35ArFAomm6a0JuLGTJ8+HS4uLigsLMSsWbP0rvn111+ZRtVjxozRuwZQl0/pa9RcWFiIX3/9\nlbltysSxyvbRRx8BAOLi4rB48WK9az755BPmZz958mSL7aW0AJBKpWKmswUFBbHOffXVVwDUjbcn\nTpyI4uLiMn8v7WwtU7P7XgUUSCKEEEKIXrqlbbafkWRs8pNDcTEcTXiB79Sxubm3ZTk6jbbVzVSF\nnIwkmUxuE29uNPq37IWaASEGzyvAQw5Pq2GqSgVI7CtjJ8jr1cpIcnZyQp9eHQ0Gkzw93dCnV0c4\nO706LWAHDRoEQN3bqGvXrti+fTvu37+Pe/fuYePGjWjRogVevHiB3r17m3y9K1euoHPnzjh48CDi\n4+Nx9epVfPzxx/jwww8BAA0bNsS0adNY93NwcMD27dvh4eGBnJwctG3bFlOnTsXJkyfx5MkT3L9/\nH2fPnsXff/+NiRMnokaNGjh58uRLPfbHjx8jNDQUoaGh+Pjjj8t9nZo1a+Lbb78FAGzYsAH9+vXD\n6dOnkZCQgIsXL2LixImYPXs2AKBRo0Y6j11beno6WrdujcjISNy6dQuPHj3Czp070a5dO1ZG0vHj\nx/HixYtyZ8hUhOnTp6Np06YAgE8//RQTJkzAhQsXEB8fj1OnTuGdd97BmjVrAKgDiZrMLkvYvn07\nateujSlTpmDbtm04f/48Hj16hHv37uHAgQP43//+xwQ5x40bx7rv4MGDMXbsWADqrKTmzZtj7dq1\niI2NRUJCAmJiYnDo0CH8+uuv6NatG7p166bz/SMiIpiS0a+//hoXLlzA8+fPmUBmacEpe/Xq/E1L\nCCGEEJOpVCqostklXPbQI8nY5CelgwPEQgE8jWTn8IL9bSuQlJfKvu2uzmBwdnaCs7MTiorUWQFK\npQr7Dp5F/bo1UKdOdat/My7kC7B16mIMXfax3ultNQNC4O6rADJLyhyQnwZ4mjaa3Bb4uXuDx+Mx\nAcAsSS4KFUXgO9nvxCEvL3cMGtATj5+8wOMnzyGTFcDV1QV1aldHndqhVv+8Nbdu3brhk08+waJF\ni3D79m0MGTKEdb569eo4ePAgq2+MMVWrVsXWrVvx7rvv4u2339Y5Hx4ejiNHjoDP151a2bBhQ1y8\neBFDhgzB7du3sXz5cixfvtzg9zLnZKyXbc79+eefQyKR4Pvvv8e+ffuYci1tbdu2xa5du4xOMZsw\nYQI2b96MESNG6JybPXs2oqKicOHCBaxduxZr167FjRs3yjShryLx+XwcO3YMAwYMwPnz57FmzRom\ncKRt0KBB2Lhxo8X3Eh8fjxUrVmDFihV61/B4PEyfPp3JpNK2Zs0aVKtWDT/++CNu3ryJ8ePHG/xe\nHTp00DkmFAoxc+ZMzJ8/H1FRUWjXrh3r/IsXL1ilnq+KV+tvW0IIIYSYJk8CaJceCFzAM7HZrTUz\nOvmJx8Pp1hHoeilObzCJF+wPwbzJ4LnovomyWnmcBrIe6rT/3Nx8nU9RU9MykJqWgRtx99GnV0d4\neblX1C7LJSwwFKfnRuKdXz/ErecPmOMj2r+Db9/7GPwtg9mBJDub3Obk6AR/Dx+ka5W0pYuzUM03\nyMi9bJ+zkxPC64chvH5YZW/FbDw9PZmJWvqCNMb89ttv6NGjB9avX49bt25BoVAgJCQEb775JsaP\nHw9fX1/4+fmhWrVqJk0a6927N27cuIElS5bg8uXLyMnJQWhoKPr164eJEyca7YPToEEDxMbG4sCB\nAzhw4ABiY2ORlZUFV1dXBAUFoVq1aujUqRN69eql9413lSpVoFAo4O3tXeo+tXs5mZpxZcz8+fMx\ncOBArF+/HpcvX0Z6ejrc3NzQsGFDvPvuu+jfv3+pAasWLVpg+vTp+OWXXxATE4OCggLUrVsXH3zw\nAfr374/bt29jypQpSEtLQ/v27VGjRg3mvqY8dldXV+Z54mQkaBoYGIhq1aoZbApuKn9/f5w7dw77\n9u3Dzp07cfv2bYjFYvj4+KBJkyYYPnw4unTpYvQaVaqog/fGHpfmueHr66v3/HvvvYcWLVrg2LFj\nOH/+PF68eIGUlBTm+i1btsSIESPQqFEjvfd3cHDA/PnzMX78eGzatAlRUVFITEyETCZDQEAAgoKC\n0KBBA/Tq1UsnSKTx7bffIiIiAtu2bcO9e/eQl5fH/Btq7Hdhz3gqW8pjJsjOzmb+kGVlZcHHx3iz\nSUIIIaQ8lM+SIZtW8ik2r2oghKu+qcQdmceBw+eQlGx8Oo+johjd78cjMCGJOebQ6DUIvvrQtoJI\nAHDmZ+DUdyW3O8xAUbevsWP3cYMlfoC6TGjQgJ42keHxv5/HIya+ZLLQ7k9Wom29psDOCcDNbSUL\n+y0Hmo+shB1aTrfvRuBOYskb6iOz16NJzdeN3KN84uPjUVBQABcXF9SqVcvs1yeVq2bNmnj27Bmm\nT5+O33//vbK3Y5LJkydj5cqVaN26NS5evFhp+5DL5XD9r+fcmjVr8MEHH1TaXsirozx/J5s7jkA9\nkgghhBCiQ7c/ku2XtQGmTX4qdnKEY4s3WMd4nm62F0QCdHskuQca7ROlIRZL8PiJ4TJAa5LG6Q3E\n9A5y52Tm2OPkNi92xoG990kiROPYsWMA1BlZhJCKR4EkQgghhOhQZolZt+2h0TZg+uSnIE7ZjCpb\nbGC1lcvnlrYFG+0Tpe3xk+cW2JB5qVQqiHIzWccCPf8LrnhwAkncflF2gHms/7H3yW2EAEBiYiLk\ncjlGjx6Ntm3bVvZ2CHklWX++MiGEEEIqnL1mJGkmPx06FqU3K4eZ/JSdC+3h1KqsXJ21NkGn2XYQ\nZDKpSXeVyQossCHzypXmoUBRyNx25QvgLvivGa5ORpLxkkZbxJ3cxs3OIsQehYSEIDFRt8k+IaTi\nVGggqbCwEHfu3IFIJEJ6ejrkcjkCAgIQEBCAOnXqmNQAjhBCCCGWx83A4fnaR0YSUDL56Z9dx5GX\nVxJMahRRH82bvg5nJyeoOD1VbTYjScwJJHkEw9U1GTDh8bi6Gm6qay3SONlIQV7+JQ1xPYLZi+0y\nI4ndnFYkzjSwkhBCCDEfiweSnj59ii1btuD06dO4ePEiZDKZwbXh4eHo1KkT3nnnHfTq1eulRzkS\nQgghpHy4GTg8b/vISNJwdnICd95IeP2wkubSHm6AkyOg+G+ymUwOlbwAPIH1B1cYKhWQzwmeeAaj\nTi3HUhuOA0Cd2tUttDHzEYm5/ZG0Sr10StvssUcSOyOJW+ZHiCnKMi2NsPF4PGaSmpub8bJpQuyJ\nxQJJR44cwYoVK3DkyBEolUqT7nPv3j3cu3cPf/zxB2rVqoUPP/wQ48ePp8lkhBBCSAXjlrY5+NpX\nIEmlUkEqlbOOCV0FzNc8Hg88b0+oMrJL7pOdC14VG8qelmUDCq3yNL474OKBOnVccSPufqlT2+rU\nLr0xeWXjlnIFemoFVriBpPw0dXDNjj6o1O2RRIEkUnaVOfXM1rm4uFCZHXklmT2QFBMTg48//hjR\n0dHMMXd3d7Ro0QKtW7dGw4YN4evrCz8/P7i4uCAzMxNZWVl4/vw5Ll26hEuXLuH58+eIj4/H559/\njp9++gnffPMNPvroIziZaQRtfn4+YmJikJSUhJSUFKhUKgQHB6N169aoW7duqfdfuXIlRKLSP8mL\niIjAgAEDzLFlQgghpELplLbZSbNtjcLCItYHXU5OjuDznVlreD6cQFKWGLClQBK3lMtTXeql6RN1\n8Og55OXp9kti+kSZ6XWXJemWtmkFVlw8AWdXoOi/bPgiGVAgBgT281wO4kxt4/48CCGEEEsw6yuE\nmTNnYvHixVCpVBAKhejXrx9GjBiBHj16wNHR0eTrPH78GJGRkYiMjMSTJ08wffp0rFy5EqdOnWJS\nB8sjMjISK1asQExMDBQKhd417du3x7Jly9C4cWOD11m5ciXu3LlT6vcbPnw4BZIIIYTYJHtttq2h\nk40kFOis4faF4v5MrJ5Oo+2SnkFeXu54b2Av/LV5P4qLi5njbVo1wuvhtWwiiATojrtnNZ/m8dQN\nt7OflhzLE9lVIImbkZQuzoRKpaL2EIQQQizKrK8Szp07Bx8fH8ycORNTp06Fh4dHua5Tp04dzJs3\nD/PmzcOJEyfwzTff4OLFi0hJSXmpQNLJkydx6dIlAICXlxc6d+6MOnXqgMfj4cqVK4iKikJ0dDRa\nt26NgwcPonv37kav16hRI/Tr18/g+YiIiHLvlRBCCKksKpkckJdMwoKTk7pnkB2RytiBJFeBnkAS\nJ3hmcw23xSns257s5tPOTk7wcBciJzePOVataqDNBJEA3QycQE6GDjy4gaRUIKD07HNb4SYQws1F\nCEmBOrOsUFGEHKkYPm72EywjhBBifcyekdSnTx94eprvU8sePXqgR48eOHLkiFmmuoWHh2P27NkY\nMmQI+Hw+69zx48fRv39/SKVSDB8+HI8ePTL6WBo3box58+a99J4IIYQQa6Jb1uZhdxkOMpkJGUmc\ncj5uA3Krx81I8qiis8TNzZUVSJJKZYCft4U3Zj7cHklBnObTcNfTJ8nOBHr6IiG9pEQxLTeTAkmE\nEEIsysGcFxs6dKhZg0jaevfujerVX256yNSpUxEXF4eRI0fqBJEAoGfPnli4cCEAQCQSYdeuXS/1\n/QghhBBbpFvWZn9vSqWyAtZtV1cTSttsLpDEyUjyCNZZIuQ8bgmn5M/acZtLc3sG6U5u4wTX7AA3\neJZODbcJIYRYmFkDSdauWbNmpTbs7t+/P/P19evXLb0lQgghxOqosuy70TagJyPJhECS0tZK27jj\n7vUFkoSurNtSqcySOzI7nalt3Iwk7mPm/kzsQIAnt+F2hoGVhBBCiHm8UoEkU7i4uDBfy+W29akc\nIYQQYg46GUm+9tVoG9DtkSR0ddFZo9sjycYyknR6JOkrbbPdjCRJgQz58pKSLmdHJ/hyS7pegdI2\nbhaWKDerknZCCCHkVWGRbopFRUWYNWsWZDIZfH198e2338LZ2bnU++3fvx+HDx8GAIwcORJt27a1\nxPaM0jTjBoBatWoZXZudnY1//vkHT58+BY/HQ1BQEFq3bo169epZepuEEEKIxej2SLL/jCS9pW3c\nHkk2l5HE7ZFkXxlJ3IltgZ5+ur28dErb7C+QxG0wniamjCRCCCGWZZFA0qJFi/D777/Dzc0Np0+f\nNimIBAC9evXC0qVLcerUKZw7dw5xcXEm39ccVCoVfvvtNwAAj8dD3759ja7fv38/9u/fr3O8ZcuW\n+PXXX9GhQ4dy7SM7O9vguZycnHJdkxBCCDEVtxcQNzPHHkilJjTb9vIAHHiAUqU+kCeBqqgIvAp8\nbVJuKpVJgSQ3TiBJYkOBpFIntgG6gSQ7zEgK5JS2pedSjyRCCCGWZfZAUkFBAX799VcAwPfff4+W\nLVuafF8XFxds3rwZ4eHhuH//Pnbu3ImhQ4eae4sGLV++HNHR0QCAIUOGoEGDBgbXCoVCtGrVCjVr\n1kRwcDCys7Nx/vx53LlzB1euXEGXLl2wbt06jBo1qsz78PX1LfdjIIQQQspLVVAIxbmrUMTcZh3n\neQgraUeWIzOl2bajA3heHqxMJFW2GLxAPQELa1IoBWL+AooLS445CQCebkcDN04ATSqxndK2Uie2\nAXp6JNlfs23djCQKJBFCCLEss/dIOnToEDIyMlC7dm1MmTKlzPevUqUKZs2aBQD466+/zLw7w6Ki\nojBz5kwAQLVq1bBs2TKDaxctWoTMzEycPn0a69evx/fff49Vq1bh9u3b2LNnD7y8vFBcXIwPPvgA\nd+7cqaiHQAghhJSbMkUE2bSFKFzxN5AvZZ0rWLMTyhRRJe3M/FQqlZ7SNt0eSYANlrdlPgGWtwEO\nz2YfV8jVxzOfsA7rlLbJ5FBqMrCsnMiUjCS3AHYATZoFKAp119kwbgDt6pM4DPp9CrZE74O00HYC\ng4QQQmyH2QNJ586dAwAMGzYMDg7lu/yIESMAABcuXEBxcbHZ9mbInTt30K9fPxQVFcHNzQ27d++G\nn5/hTxt79uwJgUD3k0sA6NevH/7++28AgEKhwE8//VTm/WRlZRn8Lz4+vszXI4QQQoxRFRRCPm8F\nVKkGeqtk5qjPF9jHG/CCgkIoVSXBEmdnJzgbmOqq03A7y4obbhdKgY0DgKwE/eezEtTnC0sChU5O\njnBxKSnVU6lUkMsL9N3b6nB7AenNSHJwBNw4x/PtJygKAHJOsKhQUYTz92MwM/IHdF3wPhJELypp\nZ4QQQuyV2UvbHj16BABo2rRpua8RGhqKwMBAiEQiJCcnIzQ01Fzb0xEfH48ePXogOzsbLi4u2Ldv\nX5nK8fR566230KhRI8TGxuLo0aNlvr+Pj89LfX9CCCGkLBTnrhoOIv1HlZoBRVQMnHtU/CAMc9Pp\nj6SnrE3DpjKS4nYYDiJpZCUAcTuB5iOZQ0KhKwoKipjbEqlMb88oa8PtkRTkaeBDQI9gdvAoPxXw\nDrHgziqOtFCOj9bPM3j+aXoihi77GKfnRkLIt/7fKSmfBw8e4OLFiwCAUaNG6TadN9Hp06fx/Plz\nVK1aFT179jTnFgkxm3v37uHevXvIy8uDSqXC66+/rvP+/cmTJ4iLi0NeXh6USiXCwsLQqVOnStqx\nfTJ7IEnTDDooKMj4wlIEBQVBJBIhOzvbYoGkxMREdOvWDSkpKXBycsI///yDbt26meXaTZo0QWxs\nLNLT0yGTyeDq6lr6nQghhJBKoDh/zbR1dhJI4jaUdnMz/G80z5eTkZRtxRlJcbtMXMcOJLkJXZGt\nFSBTT26z/g+1dKa26ctIAgD3QPbtPPvJSNpz5RieZSQZXfM0PRF7rx7HsHbGh8iQipWZmYkDBw68\n1DVatGiBBg0a4MyZM5g0aRIA4P3334eTgQzL0ixduhT79u1Dt27dLBpISk1NxdOnT5GSkgK5XA5/\nf39ERESU+v4xMTERJ0+e1DnO5/Ph6ekJLy8v1KtX76Xfh5rD/fv38eDBA8hkMgQFBaF58+bw8PCo\n7G3ZtCdPnmDYsGG4cuUK6/j06dOZQFJqairef/99nDp1irVm8ODBFEgyM7MHkoRCdUNOsfjlPrHL\nzVW/UHNzc3vpPemTlpaG7t274+nTp3B0dMSWLVtKndJWXuX9VIAQQgipCKrcPLOus3amTGzT0MlI\nyrLijCSJiQESSTrrJvfxS6S20VdHJyPJUCCJW9p27Gv1zyBiEMC37Ubye2NOmLRuDwWSrE5CQgLG\njBnzUtf45ZdfjA4HsibPnj3Dzz//jJMnT+Lhw4d617Rt2xbffvstunfvrvf8zZs3TfqZVatWDT17\n9sT48ePRpk2bl9p3We3cuRNfffWVzmN0dXXFiBEj8PPPP8PLy8vAvYkhSqUSffv2xd27d+Hs7Iwu\nXbogODgYPB6PlY00dOhQnD17Fg4ODujUqRNCQkLg4OCAVq1aVeLuS2zZsgVFRUVo2rQpIiIiKns7\nL8XsgaTAQPWnPvfu3UOvXr3KdQ2xWIzk5GQAQEBAgNn2ppGVlYUePXrgwYMH4PF4WL9+Pd577z2z\nfo8bN24AAPz9/Q32UyKEEEKsAc/LA6a0V+Z52cenqToZSUIjGUncHknWnJHkFgjgrgnr2K+tuI9f\nyvn5WCtuRlKQvmbbmU+A+0fYxzIeAnunAlGLgFG7Ab/aFtylZaWLs01al5Fn2jpScfz9/Q1Od05P\nT8fhw4cBAM2bNzcYLGrYsCEAoH79+sy1ytuj1tJu3bqFlStXAlC3MalevTqqVasGiUSCR48e4eHD\nh7hw4QJ69OiBJUuWYNq0aUav16FDB9SqVQuAurebWCyGSCRCbGwskpKSsGHDBmzYsAH9+vXDn3/+\naZH3lFxff/01FixYAEAdOOrQoQN8fX3x4MED3LhxA3/++SeioqLw77//0pTuMjp37hzu3lX/+7Zn\nzx706dNHZ829e/dw9uxZAMCff/6JcePGVeQWTfLhhx9CIpFgwYIFFEjiatGiBbZu3Yp9+/ZhxowZ\n5brG4cOHoVAo8Nprr8HT07P0O5SBWCxGr169cOvWLfB4PKxevRojR44s/Y5lcPToUcTGxgIA3nzz\nTbNemxBCCDE3pw7NUBj3oPR1HZtXwG4sq0ihQGJSGutYXr4URQqF3obbPF8b6pEUMRCIP2vCundZ\nN20xI6lQUYQsSUlQj8fjwd+DU46naT4uNxD80zQfn3LRZjOTAjx9cD+59HU6PxtS6WrWrGlwQvWl\nS5eYQNLgwYPx6aefGr1Wly5d0KVLF3Nv0axq1qyJ9evX480330SVKlV0zp85cwYjR45EYmIiZs6c\niZ49e+K1114zeL0JEybg/fff1zleXFyMEydO4Pvvv8f58+exd+9exMXF4fLly/D3N5C1aAaHDh1i\ngkitW7fGnj17EBwczDo/ePBg3L9/H6NHj8b+/fstthd7dPPmTQCAk5MTevfubXQNALz99tsVsKtX\nm9lD1prAydmzZ/XWsJamoKAA3377Leta5iKVStGnTx/ExMQAUNcBjx8/vkzXOH36NNNQXJ+DBw9i\n6NChANRP9NmzZxtcSwghhFgDp04twAs2/gKbF+xv84Gk3Nx87Nh9HMkp7NKu+IRE7Nh9HLm5+Tr3\n4WYkKZ8lQTZ3KYqO/2t9U+wiBgG+YcbX+IbpBJJ0MpIk1p2RJC2U489T21jH3F2EKCxWsBeWpfm4\njerXvIdJ6/q3oMbJpHI1bNgQY8aM0RtEAtTBsFWrVgFQT77eubN8fy4dHR3x5ptv4uzZs0xSQ3x8\nPIYMGVKu65lKE0Ryd3fH3r17WUEkAOjTpw9+/PFHAMCBAwcQHR1t0f3YG00fZi8vL4NZd5o1ACjj\nqwKYPSMpPDwcb731Fg4fPowhQ4bg1KlTaNSokUn3lcvlGDZsGO7fvw9nZ2dMnz7drHubNGkS84e2\nXr16yMjIwLx58wyur1Wrlk620p9//ont27ejfv36CA8PR3BwMPz8/JCVlYXo6GjcunULgPovsXXr\n1tlM3TIhhJBXF8+FD8G8yZDPW6F3ehsv2B+CeZPBc+FXwu7Mo0ihwKFjURCLJXrPi8USHDoWhUED\nerIyk1TyAvbCYiWUcQ9QGPcARbuOQzBvMhyqcJo5Vxa+UF2q9Vd/IPup7nnfMPV5TvaNkBNI4pb+\nWZME0QsMXfYxnqYnso7nySXouuB9bJ26GGGB/w1pKWfzcVvSv2UvLDu2Wefnoa1mQAj6USDJrpVl\naptcLsfFixeRlpaGwMBANG/e3GgFSEFBAbZu3QpAPUyotPd19+/fx6VLlwAAAwcOLFODae1+RiLR\nyzXFd3BwwG+//YYbN27g3LlzOHXqFE6fPo2uXbu+1HX1yczMZBpA9+/f32Cz73HjxmHmzJkoLCzE\nxo0b0b59e9b5c+fOISEhAUFBQQazbgDgxIkTSEpKQmhoqM6gqJs3b+LmzZvg8/kYNmwYAHWW1tWr\nV/H8+XMEBQWhWbNmcHd317luWloaYmNjkZ2djTp16qBZs2Zl+jmYQiKR4MqVK0hLS4NAIEBYWBgi\nIiIMPi1GqcwAAQAASURBVGf37duH7Oxspm1MQUGBwUy+CxcuMF9v2rSJFXDS9+ciKSkJcXFxyMrK\ngqenJ6pUqYI6derA29u71MehUqlw69YtJCQkQCqVIjAwEC1atDD4Z+n48eNITk6GQqH+wOPGjRs6\nj8PW+iaZPZAEAD///DPOnTuHzMxMtGrVCrNmzcKkSZMMRqCLioqwf/9+zJ07F/fu3QMAzJo1CzVr\n1jTrvp49e8Z8/fDhQybzyZBu3brpBJJ69OiB27dv486dO3jwQH8ZQMeOHfHzzz9bTVMvQgghpDQO\nVQLhuvQryD77BapnJbUyTr07gD9mgE0HkQDg8ePnBoNIGmKxBI+fvEB4fXVWj6qgEAULVxtcr0rN\ngHzeCrgu/cp6fj5+tYGxB4HfGpYc4zkC7yxRZyLpKeFy45S2cZuRWwtpoVxvEElDZ9R9OZuP2xIh\nX4CtUxfjnV8nQiTO1DlfMyAEW6cuVv88iN0yZWqbSqXCb7/9hgULFrCGIrm7u+Pzzz/HnDlz9F7b\nxcUFS5cuxY0bN9C+fXucP3/e6F5mz56Nffv2oWbNmgZ7QBmi6ZELALVrv3zvMgcHB8ydOxfnzp0D\nAKxevdoigaSEhASoVOpOg5q+Vfq4urqiVq1auH//PlO6qG3VqlXYvn072rVrZzSQ9Ntvv+HYsWPo\n06ePTiBp7969+Pbbb+Hl5YVhw4bhyJEjmDRpEut9cEBAAJYtW4bBgwcDAGQyGaZNm4aNGzeiqKiI\nWde0aVP8888/ZvldpKWl4csvv0RkZCQKC9nZvNWqVcPcuXPx4Ycf6tzvq6++wp07d5jb+fn5JjVc\n5/ZH0v5zcePGDUyfPl3vc9nJyQndu3fH3Llz0bat7pRahUKBpUuX4tdff0VKSorOfYcNG4ZffvmF\n6Rut8fPPP7Mmye3evRu7d+9mrbG1vkkWCSQ1aNAAW7ZswaBBg1BQUIAFCxbg+++/x+uvv46IiAj4\n+vrC2dkZYrEY8fHxiImJYf2FNnDgQMyfP9/s+xo9ejQ6d+5s8npNAzdt48aNw7hx45CYmIgbN24g\nJSUFGRkZcHV1RUhICFq3bo3Q0FAz7poQQgipGDwXPnhOjqzG206dW1pPkOQlPI5/Ydq6J8+ZQJLi\n3FW9GVraVKkZUETFwLmH7gvOSlPA6ePkX9toxg23R5JUJodSqbS6pr17rhwzmnkDcEbdl7P5uK0J\nCwzFug9/xNu/lLRrEPIF+G7wJ+jXoicFkQgA4KOPPsIff/wBAPDw8ECnTp0gFApx7do1zJ07l1UW\nxPXhhx9i4sSJiI6Oxv379w32LkpJScGhQ4cAAGPHji3T5Gq5XM60BPHx8cHw4cNNvq8xXbt2hY+P\nD7KzsxEVFWWWa3JpskwA6A3iaXN2dgagDpplZWVZtATryJEjePvttxEYGIiBAweiuLgYZ86cQXp6\nOoYPHw5fX1906tQJPXv2xIULF9CyZUuEhYUhISEBly5dwvXr15newq6uhodSlObp06fo0qULnj59\nCkBdGdS4cWNIJBJERUUhKSkJEydOxNWrV7F27VrWffv164fmzZvjxo0biIuLg4uLi8Eyxfv37+Py\n5csAgJEjR7Kef5p/z+7evYuOHTsiPz8fPB4PzZo1Q/Xq1cHj8ZCYmIhHjx7h6NGjaNWqlU4gSSqV\n4p133mHa91StWhUtWrSAUCjE48ePcfXqVWzatAnnzp1DdHQ0QkJCmPv26tULISEh2LJlCxQKBZo0\naaITNDK1istaWCSQBADvvPMOoqKiMHToUDx9+hTFxcW4desWU/qldzNOTpgzZw7mzp1rkRcvo0eP\nNtu1QkJCWE8OQgghxB5wx9vzfOxjTLFMZlqWjUxWUsqmOH/NpPtYXSBJzP6UFB76M8I1HB0dIRDw\nIZeXfEoslRXA3a38bxwsocyj7svZfNwW1Qyoyrrt7OSs/hkQAvVIek0Q6e2338amTZtY5TvLly/H\njBkzDL63GT58OD777DPk5eVh7dq1+PXXX/Wu27BhAxQKBRwcHIxmjWjKrwB1X5uEhARs27YNIpEI\nwcHB2Llzp9kaY/N4PDRv3hwnTpxAamoqUlJSDFbJlJd29okmWKKPUqnE8+fPmduPHj2yWAVLYWEh\nxo4di08//RQLFixgAljp6eno0KEDHjx4gC+++AL/+9//8PjxY1y6dAktWrRg7r9hwwaMHTsWT548\nwZ9//lnuljNKpRKDBw/G06dP4eTkhLVr17Iy1XJycjBixAgcPHgQ69atQ4sWLViZSd999x0AYM6c\nOYiLi4O7u7vB0rbly5czgaR169bpDeotXLgQ+fn5CA4OxsmTJ3Xa0BQXF+PkyZN6YxGTJk3CyZMn\nIRAIsHLlSowaNYq17sKFCxgwYACePXuGESNG4MyZM8y5zz77DID6z6JCocCAAQMMZgHaCosFkgB1\nx/oHDx4gMjISmzZtwuXLlyGX676Qq1u3Lv73v/9hxowZqF69uiW3RAghhBADVMVKqHK5gSTzTk+t\nLK6uAsCEiWuuri7M16rcPJOubeq6CpOXyr7tEax/nRY3oSs7kCSVWV0gqcyj7iMGAVGLjDfc1tN8\n3Bb5ufvAycERCmUxACBXmgdpobxCs5Ek70yusO9Vmdz2rajsLZSZ5s14rVq18M8//0AgYD8vpkyZ\ngoSEBCxatEjv/d3d3TFs2DCsXr0aGzduxPfffw8+n52pqlKpsG7dOgAl2ReGaMqvuEaNGoXly5fr\n7d/zMrQbX2dmZpo9kFSrVi1UqVIFKSkp2LdvH3777TcmcKPt+PHjyM0tmSKpXZFjbjKZDD169GAa\nfGsEBARgwYIFeO+993Dt2jXcuHEDp06dYgWRAGDMmDH4448/cOXKFezevbvcgaRDhw4x/aPmz5+v\nU+7o7e2NHTt24I033sDjx48xf/58jB07Vu/Pzxw0Q7eGDx+ut5exo6MjevXqpXP8+vXr2LRpEwAY\nnPretm1bbNmyBd27d8fZs2dx4cIFveVx9sLiOct8Ph9jx47F2bNnkZOTg3v37iE6OhqnTp3CjRs3\nIBKJ8PDhQyxatIiCSIQQQkglUonzAKVWYZu7EDy+ZV7MVbQ6tUwrO69Tu+S1CM/LtCaxpq6rMDoZ\nSaUHkrgNt62xT1KAp2kj7JlR95rm44Ym2RloPm6LHBwcEOTFzuAQ5RovyySvhsePHyM2NhYAMHXq\nVJ0gksann35qtCJEkyWSkZGBffv26Zw/deoU4uPjAej2p+Fq3LgxRo0ahVGjRmHgwIGoX78+AGDj\nxo1o1KgRa4y7OWg3QNYO5JjThAkTAADPnz/HjBkzmJ5JGsnJyZgyZQrrmERivG/fy/rkk0/0Htfu\nq9SoUSODrV806zTPn/L4559/AABubm6YOnWq3jUCgQAzZ84EoP45WXKinSZImZBQykRPjg0bNgAA\nQkNDMWLECIPrunXrxvSUOnr0aDl3aRssmpHE5eLiYrCmlhBCCCGVS5Vtn9lIAFCnTnXciLtvtOG2\np6cb6tQuCTg5dWiGwjj9gzW0OXVsbpY9mk0+JyPJ05SMJPabS2uc3NaveQ+cvx9T6jrWqHu/2sCU\ni8C6t4Ck6yXHm44E/vezXQSRNIK8/ZGUncbcTslJR80AasPwqtNkYAAw2iu2SpUqqF+/PjP4iKtJ\nkyZo0aIFrl69ijVr1mDQoEGs82vWrAGgznjp29d4WWW/fv3Qr18/1rHz589jxIgRiI+PR/v27XHp\n0iWjjavLQjtg4+bmZpZrcn3++ec4cOAArl+/jpUrV+Ly5csYNGgQfHx88ODBA2zYsAHZ2dkIDw9n\nfsaW2gugLulr3bq13nO+vr4QCASQy+WsSXlc1apVA6AOvikUilL7P+lz9epVAEDLli2NZpp1796d\ndZ8uXbqU+XuZomPHjrh+/Tp2796NQYMGYdy4cejYsSOEQuP/FmiCW/7+/tiyZQsAMMFC7aChSqWC\ni4s6s/nx48eWeAhWo0IDSYQQQgixXqos9ie19tIfCQCcnZzQp1dH7N5/EgUFRTrnPT3d0KdXRzhr\nvVB26tQCRbuOG224zQv2t75Akphb2lZ6GYeLwIV1+2bsfTjweKhTpzrrZ1KZyj3qni8EarRmB5IC\n6thVEAkAgjkZSWk5lJFEAJGoZHphaf1dQ0NDDQaSAHVW0tWrV3Hy5Ek8ffqUmbCdkZGBvXv3AlA3\nOS5PWVKHDh1w5MgRNGrUCBKJBHPmzGGu+bIyM0smGlqqubWrqytOnTqFDz74ALt27cK1a9dw7VpJ\nnz1HR0d88cUX8PPzw6effmrRvQDqzBtNQEMfFxcXyOVy+Pn5GV2jUVBQwASSzp8/jydPnui9T7Nm\nzfDGG28wtzXPv9Iqj7TPaz9nze2bb77B4cOH8fDhQ+zcuRM7d+6Es7MzmjZtio4dO2LAgAF6A3BJ\nSUkA1BPfjGUkaTPWwN4eWMcrA0IIIYRUOp2MJF/7yUgCAC8vd9QKC8W9+/Elxzzd0bjRa6hTO1Qn\nYMJz4UMwbzJkX/4OZOmWQ/CC/SGYN9n6ptrlla3Zdm5uPh48ZKf55+VLcS76Gm7E3UefXh3h5WXe\nniXloRl1P2TpDDzLSNI5b3TUvXsQ+3Zemu4aGxfszZ4+l5qbXqHf3xZ7B70KiouLma8dHR2Nri0t\n42To0KGYOXMmcnNzsW7dOixYsACAuiRNM9K9tLI2Y8LDw9GxY0ecOnUKJ06cgEqlKtPkN0Nu3LgB\nQB1cqVq1aimry8/b2xs7d+7EnTt3cPToUSQkJEClUqFWrVoYMGAAwsLCMHHiRADq34WmpM8STB1c\nZeo67ayb1atXM1k5XD/88AMrkKR5/pX23NM+rz0Fz9y8vb1x7do1rFixAlu2bMHt27dRVFSEy5cv\n4/Lly/jll1/QuXNnREZGMhlZgDqQBgD169c3mOnFpf1zsEcWDSRJJBLk5+cjMDDQLH8JEEIIIcRy\nVNnsYImDHWUkaci1prIBQItmDVnlbFwOVQIhmDcZ8mnflxx0dgL/w8Fw6tjc+oJIgG6QxCNI/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oW0G7sgyVSqWTkVSWQBKgLm/jBpJgLYGkQilwiZMd4OSqPm5ipo2rQAAeD9DM8y0oKIRCUQwn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mvD7YCvPjEb7L1wDv6Nez7x7GHdNmRcJiz9T7TpwbbpwQIwF5+E5e0ChK1bLnnPpCZ9m6Bx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HE9D00q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\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dixMnTqCxsRFpaWkYMmQIZsyYgTPPPBOSJMV6ilF1/vnn47PPPsPll1+OlStX+u174okn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\niIiIiIiIiFRhkERERERERERERKr8f+pjagxC0DdXAAAAAElFTkSuQmCC\n"
          }
        }
      ],
      "source": [
        "import pandas as pd\n",
        "\n",
        "paper_data = pd.read_excel(\"misc/heat_dissipation_SOI.xlsx\")\n",
        "\n",
        "fig, ax = plt.subplots()\n",
        "for dS in dSs:\n",
        "    SOI_data = np.squeeze(batch_2_data[f\"0.22-{dS}\"][\"temp_line_profile\"].temperature - 300)\n",
        "    (line,) = plt.plot(SOI_data.x, SOI_data, label=\"Tidy3D, \" + str(dS) + \"μm-offset\")\n",
        "    coords = paper_data[f\"Distance (um) {dS}um separation\"]\n",
        "    temps = paper_data[f\"Temp. Change (°C) {dS}um separation\"]\n",
        "    plt.scatter(\n",
        "        coords[::5] * 1e6,\n",
        "        temps[::5],\n",
        "        label=\"Paper, \" + str(dS) + \"μm-offset\",\n",
        "        marker=\".\",\n",
        "        color=line.get_color(),\n",
        "    )\n",
        "plt.legend()\n",
        "plt.xlabel(\"Coordinates\")\n",
        "plt.ylabel(\"Heat change (°C)\")\n",
        "plt.show()"
      ],
      "id": "f5728857"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Here we plot the percent temperature change between the center of the\n",
        "heated waveguide and the center of the reference waveguide. Using the\n",
        "above data, we can replicate a portion of the data in Figure 8b in Pant\n",
        "et. al."
      ],
      "id": "a199793f-f027-495b-a1fa-064c2967b165"
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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IiEjJo0SXiIWMevxDvrWrb3at9M0zRCx+weyal6c7g/t3pVLFsmbXU1JS2bAp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\nuMi7Uq8rXY3qlRjYrwtubi5m16OiY1m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la2tLx/bN8PHxZPvOA2Y/ZM6cDSHyVjQ9u7Wl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\n"
          }
        }
      ],
      "source": [
        "fig, ax = plt.subplots()\n",
        "for si_thickness in si_thicknesses:\n",
        "    thickness_plot = []\n",
        "    paper_plot = []\n",
        "    for dS in dSs:\n",
        "        temp_data = batch_2_data[f\"{si_thickness[0]}-{dS}\"][\"temp_line_profile\"].temperature\n",
        "        t_ref = np.squeeze(temp_data.sel(x=0, method=\"nearest\") - 300)\n",
        "        t_heat = np.squeeze(temp_data.sel(x=-dS, method=\"nearest\") - 300)\n",
        "        thickness_plot.append((t_ref - t_heat) / t_heat * 100)\n",
        "    plt.plot(dSs, thickness_plot, label=str(si_thickness[0]) + \"μm thickness\")\n",
        "plt.axhline(y=-90, color=\"gray\", linestyle=\"--\", label=\"-90% cutoff\")\n",
        "plt.xlabel(\"Separation of waveguides (μm)\")\n",
        "plt.ylabel(\"Temperature change (%)\")\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "id": "6cdc29f9"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Conclusion\n",
        "\n",
        "In this notebook, we achieved close correspondence between published\n",
        "experimental and alternatively simulated thermal crosstalk data,\n",
        "ensuring Tidy3D Heat as an effective tool for determining the effects of\n",
        "heating in photonic devices."
      ],
      "id": "5e963818-3371-4f76-a6a5-ff4a8e4270f4"
    }
  ],
  "nbformat": 4,
  "nbformat_minor": 5,
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    }
  }
}