{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Performing visualization of simulation data\n",
        "\n",
        "This notebook is a tutorial on working with `Tidy3D` output data.\n",
        "\n",
        "We will cover:\n",
        "\n",
        "- Accessing data.\n",
        "\n",
        "- Manipulating data.\n",
        "\n",
        "- Visualizing data.\n",
        "\n",
        "First we import the packages we’ll need."
      ],
      "id": "2623c67e-2b2a-4d5b-9211-6b0c2959bd44"
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {},
      "outputs": [],
      "source": [
        "import matplotlib.pylab as plt\n",
        "import numpy as np\n",
        "import tidy3d as td\n",
        "import tidy3d.web as web"
      ],
      "id": "7b6d7249"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Setup\n",
        "\n",
        "### Creating Simulation\n",
        "\n",
        "First, let’s make a\n",
        "[Simulation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Simulation.html)\n",
        "so we have data to plot.\n",
        "\n",
        "We will add each possible type of monitor into the simulation to explore\n",
        "their output data separately."
      ],
      "id": "40f2b82e-10b2-4724-95c8-557e650ddf64"
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {},
      "outputs": [],
      "source": [
        "# simulation parameters\n",
        "Lx, Ly, Lz = 5, 5, 5\n",
        "min_steps_per_wvl = 32\n",
        "\n",
        "# monitor parameters\n",
        "freq0 = 2e14\n",
        "freqs = np.linspace(1e14, 3e14, 11)\n",
        "num_modes = 3\n",
        "\n",
        "simulation = td.Simulation(\n",
        "    size=(Lx, Ly, Lz),\n",
        "    grid_spec=td.GridSpec.auto(min_steps_per_wvl=min_steps_per_wvl),\n",
        "    run_time=4e-13,\n",
        "    boundary_spec=td.BoundarySpec.all_sides(boundary=td.PML()),\n",
        "    structures=[\n",
        "        td.Structure(\n",
        "            geometry=td.Box(center=(0, 0, 0), size=(10001, 1.4, 1.5)),\n",
        "            medium=td.Medium(permittivity=2),\n",
        "            name=\"waveguide\",\n",
        "        ),\n",
        "        td.Structure(\n",
        "            geometry=td.Box(center=(0, 0.5, 0.5), size=(1.5, 1.4, 1.5)),\n",
        "            medium=td.Medium(permittivity=2),\n",
        "            name=\"scatterer\",\n",
        "        ),\n",
        "    ],\n",
        "    sources=[\n",
        "        td.ModeSource(\n",
        "            source_time=td.GaussianPulse(freq0=freq0, fwidth=6e13),\n",
        "            center=(-2.0, 0.0, 0.0),\n",
        "            size=(0.0, 3, 3),\n",
        "            direction=\"+\",\n",
        "            mode_spec=td.ModeSpec(),\n",
        "            mode_index=0,\n",
        "        )\n",
        "    ],\n",
        "    monitors=[\n",
        "        td.FieldMonitor(\n",
        "            fields=[\"Ex\", \"Ey\", \"Ez\"],\n",
        "            size=(td.inf, 0, td.inf),\n",
        "            center=(0, 0, 0),\n",
        "            freqs=freqs,\n",
        "            name=\"field\",\n",
        "        ),\n",
        "        td.FieldTimeMonitor(\n",
        "            fields=[\"Ex\", \"Ey\", \"Ez\"],\n",
        "            size=(td.inf, 0, td.inf),\n",
        "            center=(0, 0, 0),\n",
        "            interval=200,\n",
        "            name=\"field_time\",\n",
        "        ),\n",
        "        td.FluxMonitor(size=(0, 3, 3), center=(2, 0, 0), freqs=freqs, name=\"flux\"),\n",
        "        td.FluxTimeMonitor(size=(0, 3, 3), center=(2, 0, 0), interval=10, name=\"flux_time\"),\n",
        "        td.ModeMonitor(\n",
        "            size=(0, 3, 3),\n",
        "            center=(2, 0, 0),\n",
        "            freqs=freqs,\n",
        "            mode_spec=td.ModeSpec(num_modes=num_modes),\n",
        "            name=\"mode\",\n",
        "        ),\n",
        "    ],\n",
        ")"
      ],
      "id": "42eac08e"
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "monitor field requires 7.06e+06 bytes of storage.\n",
            "monitor field_time requires 1.06e+07 bytes of storage.\n",
            "monitor flux requires 4.40e+01 bytes of storage.\n",
            "monitor flux_time requires 2.65e+03 bytes of storage.\n",
            "monitor mode requires 7.92e+02 bytes of storage."
          ]
        }
      ],
      "source": [
        "tmesh = simulation.tmesh\n",
        "\n",
        "total_size_bytes = 0\n",
        "for monitor in simulation.monitors:\n",
        "    monitor_grid = simulation.discretize(monitor)\n",
        "    num_cells = np.prod(monitor_grid.num_cells)\n",
        "    monitor_size = monitor.storage_size(num_cells=num_cells, tmesh=tmesh)\n",
        "    print(f\"monitor {monitor.name} requires {monitor_size:.2e} bytes of storage.\")"
      ],
      "id": "e649eb60"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Visualize Geometry\n",
        "\n",
        "We’ve created a simple waveguide with a defect / scattering region\n",
        "defined using a\n",
        "[Box](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Box.html)\n",
        "geometry.\n",
        "\n",
        "A modal source is injected from the -x side of the simulation and we\n",
        "measure the mode amplitudes and flux at the +x side.\n",
        "\n",
        "We’ve also placed a couple field monitors to visualize the field\n",
        "patterns.\n",
        "\n",
        "Let’s take a look at the geometry from a few cross sections."
      ],
      "id": "41ee43cd-b85d-4071-961a-5d2fb28e8085"
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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TT9ay1+vVZ599lrwNCqF169ZB//tIppb766+/rMex3uvT7nqTFYcU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\nOfPMM82MGTPMhg0brHVWrVpl3n33XXP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qVM2cOVMff/yxlixZojVr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\nqjFaUjVGgxJbtWt4maaFP1KFGd9WIBHVwGSjUoapiBlUsxmUb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ZvW5XcDgUB2xcXOHsvj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\nZf+fkJAgY0zQ5wuEA/q/2f6TP9W6TX7yk5/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YqfDTEN4+OXrdddcZ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          }
        }
      ],
      "source": [
        "_, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(14, 4))\n",
        "simulation.plot(x=0.0, ax=ax1)\n",
        "simulation.plot(y=0.01, ax=ax2)\n",
        "simulation.plot(z=0.01, ax=ax3)\n",
        "plt.show()"
      ],
      "id": "9963682b"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Make normalization Simulation\n",
        "\n",
        "For purposes of demonstration, let’s create another simulation without\n",
        "the scatterer, so we can compare what the data should look like for just\n",
        "the straight waveguide case.\n",
        "\n",
        "This is as simple as making a copy of the original simulation and\n",
        "removing the scatterer from the list of structures."
      ],
      "id": "e95e46ce-7a3c-447e-82fc-01d59893c1dd"
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {},
      "outputs": [],
      "source": [
        "# get rid of scatterer for normalization\n",
        "simulation0 = simulation.copy(update=dict(structures=[simulation.structures[0]]))"
      ],
      "id": "eabda46e"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Running simulations\n",
        "\n",
        "Now we will run both simulations and load them into\n",
        "[SimulationData](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.SimulationData.html)\n",
        "objects.\n",
        "\n",
        "Since these will be a short and simple simulations, we can use the\n",
        "[web.run](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.web.api.webapi.run.html)\n",
        "function to do them all in one line."
      ],
      "id": "d072f360-e944-4c13-b8e1-fad9b97c22ba"
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:57:28 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'straight waveguide'</span> with resource_id                 \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-575b6d82-30e2-45b5-83d6-7fe36537d287'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-575b6d82-30e2-45b5-83d6-7fe36537d287\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-575b6d82-30e</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-575b6d82-30e2-45b5-83d6-7fe36537d287\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">2-45b5-83d6-7fe36537d287'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"fe94aa1bb0074afeacbcbd06d1bd2291\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:57:30 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. This assumes the FDTD solver runs\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>for the full simulation time; if early shutoff is reached, the     \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed cost can be lower. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed FlexCredit cost after a simulation run.                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:57:31 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"e3136e70bab449a89073e9ac82e6caa1\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:57:45 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"b7d57f0b3cf6448fa06e293e88b04a7f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:57:46 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">12</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"71b1502591904b48bd51fe44d6265b76\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:57:49 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:57:51 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-575b6d82-30e2-45b5-83d6-7fe36537d287\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-575b6d82-30e</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-575b6d82-30e2-45b5-83d6-7fe36537d287\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">2-45b5-83d6-7fe36537d287'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"4c2b6bf847404955a2e06f313926e460\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:58:03 UTC </span>Loading results from data/simulation0.hdf5                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Warning messages were found in the solver log. For more   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">information, check </span><span style=\"color: #008000; text-decoration-color: #008000\">'SimulationData.log'</span><span style=\"color: #800000; text-decoration-color: #800000\"> or use                     </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.download_log(task_id)'</span><span style=\"color: #800000; text-decoration-color: #800000\">.                                       </span>\n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:58:04 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'scattered waveguide'</span> with resource_id                \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-eeb7bca2-31c5-44b1-b7d7-c778829b2da4'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-eeb7bca2-31c5-44b1-b7d7-c778829b2da4\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-eeb7bca2-31c</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-eeb7bca2-31c5-44b1-b7d7-c778829b2da4\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">5-44b1-b7d7-c778829b2da4'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"8d95bce5e8894dcbaff99b83e84e02ee\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:58:05 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. This assumes the FDTD solver runs\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>for the full simulation time; if early shutoff is reached, the     \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed cost can be lower. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed FlexCredit cost after a simulation run.                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:58:06 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"d58fbf57943849da943aadab705c090c\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:58:18 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:58:19 UTC </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"bc8fe475050c419d93b6e28488ae7396\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:58:21 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">18</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"e8ac8c0a66e04e739c567c3060c7e41e\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:58:24 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:58:26 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-eeb7bca2-31c5-44b1-b7d7-c778829b2da4\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-eeb7bca2-31c</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-eeb7bca2-31c5-44b1-b7d7-c778829b2da4\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">5-44b1-b7d7-c778829b2da4'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"b5b614dedc17475bae6ca9fbe3700972\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:00:21 UTC </span>Loading results from data/simulation.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Warning messages were found in the solver log. For more   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">information, check </span><span style=\"color: #008000; text-decoration-color: #008000\">'SimulationData.log'</span><span style=\"color: #800000; text-decoration-color: #800000\"> or use                     </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.download_log(task_id)'</span><span style=\"color: #800000; text-decoration-color: #800000\">.                                       </span>\n",
              "</pre>"
            ]
          }
        }
      ],
      "source": [
        "sim0_data = web.run(\n",
        "    simulation0,\n",
        "    task_name=\"straight waveguide\",\n",
        "    path=\"data/simulation0.hdf5\",\n",
        "    verbose=True,\n",
        ")\n",
        "\n",
        "sim_data = web.run(\n",
        "    simulation,\n",
        "    task_name=\"scattered waveguide\",\n",
        "    path=\"data/simulation.hdf5\",\n",
        "    verbose=True,\n",
        ")"
      ],
      "id": "228e8c7d"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Inspecting Log\n",
        "\n",
        "Now let’s take a look at the log to see if everything looks ok (fields\n",
        "decayed, etc)."
      ],
      "id": "3e78afa1-a681-4b1b-841f-c5ac390e5f81"
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[07:58:14] INFO: Auto meshing using wavelength 1.4990 defined from sources.     \n",
            "           INFO: Auto meshing using wavelength 1.4990 defined from sources.     \n",
            "           INFO: Auto meshing using wavelength 1.4990 defined from sources.     \n",
            "           USER: Simulation domain Nx, Ny, Nz: [176, 152, 152]                  \n",
            "           USER: Applied symmetries: (0, 0, 0)                                  \n",
            "           USER: Number of computational grid points: 4.2214e+06.               \n",
            "           USER: Subpixel averaging method: SubpixelSpec()                      \n",
            "           USER: Number of time steps: 6.6230e+03                               \n",
            "           USER: Automatic shutoff factor: 1.00e-05                             \n",
            "           USER: Time step (s): 6.0408e-17                                      \n",
            "           USER:                                                                \n",
            "                                                                                \n",
            "           INFO: Auto meshing using wavelength 1.4990 defined from sources.     \n",
            "           INFO: Auto meshing using wavelength 1.4990 defined from sources.     \n",
            "           INFO: Auto meshing using wavelength 1.4990 defined from sources.     \n",
            "[07:58:15] USER: Compute source modes time (s):     0.6379                      \n",
            "           USER: Rest of setup time (s):            0.3647                      \n",
            "[07:58:17] WARNING: Mode '2' appears to undergo a discontinuous change between  \n",
            "           frequencies '160000000000000.0' and '180000000000000.0' (overlap:    \n",
            "           '0.00').                                                             \n",
            "           INFO: Auto meshing using wavelength 1.4990 defined from sources.     \n",
            "           INFO: Auto meshing using wavelength 1.4990 defined from sources.     \n",
            "           INFO: Auto meshing using wavelength 1.4990 defined from sources.     \n",
            "[07:58:18] USER: Compute monitor modes time (s):    1.8295                      \n",
            "           USER: Solver time (s):                   1.8050                      \n",
            "           USER: Time-stepping speed (cells/s):     4.73e+09                    \n",
            "           USER: Loading data for monitor field                                 \n",
            "           USER: Loading data for monitor field_time                            \n",
            "           USER: Loading data for monitor flux                                  \n",
            "           USER: Loading data for monitor flux_time                             \n",
            "           USER: Loading data for monitor mode                                  \n",
            "[07:58:19] USER: Post-processing time (s):          0.6170                      \n",
            "\n",
            " ====== SOLVER LOG ====== \n",
            "\n",
            "Processing grid and structures...\n",
            "Building FDTD update coefficients...\n",
            "Solver setup time (s):             0.6681\n",
            "\n",
            "Running solver for 6623 time steps...\n",
            "- Time step    264 / time 1.59e-14s (  4 % done), field decay: 1.00e+00\n",
            "- Time step    529 / time 3.20e-14s (  8 % done), field decay: 1.00e+00\n",
            "- Time step    794 / time 4.80e-14s ( 12 % done), field decay: 1.00e+00\n",
            "- Time step   1059 / time 6.40e-14s ( 16 % done), field decay: 7.39e-04\n",
            "- Time step   1200 / time 7.25e-14s ( 18 % done), field decay: 6.26e-08\n",
            "Field decay smaller than shutoff factor, exiting solver.\n",
            "Time-stepping time (s):            1.0723\n",
            "Data write time (s):               0.0619\n"
          ]
        }
      ],
      "source": [
        "print(sim_data.log)"
      ],
      "id": "5066a9c9"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Post-Processing\n",
        "\n",
        "Now that the simulations have run and their data are loaded into the\n",
        "`sim_data` and `sim0_data` variables, we will explore how to access,\n",
        "manipulate, and visualize the data.\n",
        "\n",
        "### Accessing Data\n",
        "\n",
        "#### Original Simulation\n",
        "\n",
        "The\n",
        "[SimulationData](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.SimulationData.html)\n",
        "objects store a copy of the original\n",
        "[Simulation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Simulation.html),\n",
        "so it can be recovered if the\n",
        "[SimulationData](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.SimulationData.html)\n",
        "is loaded in a new session and the\n",
        "[Simulation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Simulation.html)\n",
        "is no longer in memory."
      ],
      "id": "d28d80bc-0f0e-4ed9-80ad-9f5ce3e4b015"
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(5.0, 5.0, 5.0)"
          ]
        }
      ],
      "source": [
        "print(sim_data.simulation.size)"
      ],
      "id": "d9190b3f"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "#### Monitor Data\n",
        "\n",
        "More importantly, the\n",
        "[SimulationData](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.SimulationData.html)\n",
        "contains a reference to the data for each of the monitors within the\n",
        "original\n",
        "[Simulation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Simulation.html).\n",
        "This data can be accessed directly using the `name` given to the\n",
        "monitors initially.\n",
        "\n",
        "For example, our\n",
        "[FluxMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FluxMonitor.html)\n",
        "was named `'flux'` while our\n",
        "[FluxTimeMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FluxTimeMonitor.html)\n",
        "was named `'flux_time'`, each with a `.flux` attribute storing the raw\n",
        "data. Therefore, we can access the data as follows."
      ],
      "id": "79abce09-f407-469d-94b4-fec7d43d9413"
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {},
      "outputs": [],
      "source": [
        "# get the flux data from the monitor name\n",
        "flux_data = sim_data[\"flux\"].flux\n",
        "flux_time_data = sim_data[\"flux_time\"].flux"
      ],
      "id": "c4f8fceb"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Structure of Data\n",
        "\n",
        "Now that we have the data loaded, let’s inspect it."
      ],
      "id": "a9b39b46-2d99-40c4-a519-292d909f079a"
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
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              "  margin-bottom: 0;\n",
              "  padding-top: 2px;\n",
              "}\n",
              "\n",
              ".xr-var-item > .xr-var-name:hover span {\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-var-list > li:nth-child(odd) > div,\n",
              ".xr-var-list > li:nth-child(odd) > label,\n",
              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-odd);\n",
              "  border-color: var(--xr-background-color-row-even);\n",
              "}\n",
              "\n",
              ".xr-var-name {\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-var-dims {\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-var-dtype {\n",
              "  grid-column: 3;\n",
              "  text-align: right;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-preview {\n",
              "  grid-column: 4;\n",
              "}\n",
              "\n",
              ".xr-index-preview {\n",
              "  grid-column: 2 / 5;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-name,\n",
              ".xr-var-dims,\n",
              ".xr-var-dtype,\n",
              ".xr-preview,\n",
              ".xr-attrs dt {\n",
              "  white-space: nowrap;\n",
              "  overflow: hidden;\n",
              "  text-overflow: ellipsis;\n",
              "  padding-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-var-name:hover,\n",
              ".xr-var-dims:hover,\n",
              ".xr-var-dtype:hover,\n",
              ".xr-attrs dt:hover {\n",
              "  overflow: visible;\n",
              "  width: auto;\n",
              "  z-index: 1;\n",
              "}\n",
              "\n",
              ".xr-var-attrs,\n",
              ".xr-var-data,\n",
              ".xr-index-data {\n",
              "  display: none;\n",
              "  border-top: 2px dotted var(--xr-background-color);\n",
              "  padding-bottom: 20px !important;\n",
              "  padding-top: 10px !important;\n",
              "}\n",
              "\n",
              ".xr-var-attrs-in + label,\n",
              ".xr-var-data-in + label,\n",
              ".xr-index-data-in + label {\n",
              "  padding: 0 1px;\n",
              "}\n",
              "\n",
              ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
              ".xr-var-data-in:checked ~ .xr-var-data,\n",
              ".xr-index-data-in:checked ~ .xr-index-data {\n",
              "  display: block;\n",
              "}\n",
              "\n",
              ".xr-var-data > table {\n",
              "  float: right;\n",
              "}\n",
              "\n",
              ".xr-var-data > pre,\n",
              ".xr-index-data > pre,\n",
              ".xr-var-data > table > tbody > tr {\n",
              "  background-color: transparent !important;\n",
              "}\n",
              "\n",
              ".xr-var-name span,\n",
              ".xr-var-data,\n",
              ".xr-index-name div,\n",
              ".xr-index-data,\n",
              ".xr-attrs {\n",
              "  padding-left: 25px !important;\n",
              "}\n",
              "\n",
              ".xr-attrs,\n",
              ".xr-var-attrs,\n",
              ".xr-var-data,\n",
              ".xr-index-data {\n",
              "  grid-column: 1 / -1;\n",
              "}\n",
              "\n",
              "dl.xr-attrs {\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "  display: grid;\n",
              "  grid-template-columns: 125px auto;\n",
              "}\n",
              "\n",
              ".xr-attrs dt,\n",
              ".xr-attrs dd {\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "  float: left;\n",
              "  padding-right: 10px;\n",
              "  width: auto;\n",
              "}\n",
              "\n",
              ".xr-attrs dt {\n",
              "  font-weight: normal;\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-attrs dt:hover span {\n",
              "  display: inline-block;\n",
              "  background: var(--xr-background-color);\n",
              "  padding-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-attrs dd {\n",
              "  grid-column: 2;\n",
              "  white-space: pre-wrap;\n",
              "  word-break: break-all;\n",
              "}\n",
              "\n",
              ".xr-icon-database,\n",
              ".xr-icon-file-text2,\n",
              ".xr-no-icon {\n",
              "  display: inline-block;\n",
              "  vertical-align: middle;\n",
              "  width: 1em;\n",
              "  height: 1.5em !important;\n",
              "  stroke-width: 0;\n",
              "  stroke: currentColor;\n",
              "  fill: currentColor;\n",
              "}\n",
              "\n",
              ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
              ".xr-var-data-in:checked + label > .xr-icon-database,\n",
              ".xr-index-data-in:checked + label > .xr-icon-database {\n",
              "  color: var(--xr-font-color0);\n",
              "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
              "  stroke-width: 0.8px;\n",
              "}\n",
              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.FluxDataArray (f: 11)&gt; Size: 44B\n",
              "array([0.592068  , 0.77457845, 0.8932118 , 0.95285165, 0.97206455,\n",
              "       0.9765338 , 0.97944   , 0.9838279 , 0.9879865 , 0.99011636,\n",
              "       0.99021393], dtype=float32)\n",
              "Coordinates:\n",
              "  * f        (f) float64 88B 1e+14 1.2e+14 1.4e+14 ... 2.6e+14 2.8e+14 3e+14\n",
              "Attributes:\n",
              "    units:      W\n",
              "    long_name:  flux</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.FluxDataArray</div><div class='xr-obj-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>f</span>: 11</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-df2a505f-a3a3-4051-8151-6ba4da53ad19' class='xr-array-in' type='checkbox' checked><label for='section-df2a505f-a3a3-4051-8151-6ba4da53ad19' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.5921 0.7746 0.8932 0.9529 0.9721 ... 0.9838 0.988 0.9901 0.9902</span></div><div class='xr-array-data'><pre>array([0.592068  , 0.77457845, 0.8932118 , 0.95285165, 0.97206455,\n",
              "       0.9765338 , 0.97944   , 0.9838279 , 0.9879865 , 0.99011636,\n",
              "       0.99021393], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-4270bd16-b13a-4df4-8e25-385d9e3726c8' class='xr-section-summary-in' type='checkbox' checked /><label for='section-4270bd16-b13a-4df4-8e25-385d9e3726c8' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>f</span></div><div class='xr-var-dims'>(f)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+14 1.2e+14 ... 2.8e+14 3e+14</div><input id='attrs-ec2eb700-09ab-459a-a41d-aa58710f97d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec2eb700-09ab-459a-a41d-aa58710f97d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99092010-48d9-4fea-9d00-0bbc0b2e91ba' class='xr-var-data-in' type='checkbox'><label for='data-99092010-48d9-4fea-9d00-0bbc0b2e91ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>long_name :</span></dt><dd>frequency</dd></dl></div><div class='xr-var-data'><pre>array([1.0e+14, 1.2e+14, 1.4e+14, 1.6e+14, 1.8e+14, 2.0e+14, 2.2e+14, 2.4e+14,\n",
              "       2.6e+14, 2.8e+14, 3.0e+14])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2c9ba934-078f-4ab4-b0c4-9e053a317db1' class='xr-section-summary-in' type='checkbox' checked /><label for='section-2c9ba934-078f-4ab4-b0c4-9e053a317db1' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W</dd><dt><span>long_name :</span></dt><dd>flux</dd></dl></div></li></ul></div></div>"
            ]
          }
        }
      ],
      "source": [
        "flux_data"
      ],
      "id": "c98f4cb9"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The data is stored as a\n",
        "[DataArray](https://xarray.pydata.org/en/stable/generated/xarray.DataArray.html)\n",
        "object using the [xarray](https://xarray.pydata.org/en/stable/) package.\n",
        "You can think of it as a dataset where the flux data is stored as a\n",
        "large, multi-dimensional array (like a numpy array) and the coordinates\n",
        "along each of the dimensions are specified so it is easy to work with.\n",
        "\n",
        "For example:"
      ],
      "id": "1a22bcfb-62ae-4177-b433-0c55ad9ee7f2"
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "shape of flux dataset = (11,)\n",
            ".\n",
            "frequencies in dataset = <bound method Mapping.values of Coordinates:\n",
            "  * f        (f) float64 88B 1e+14 1.2e+14 1.4e+14 ... 2.6e+14 2.8e+14 3e+14> \n",
            ".\n",
            "flux values in dataset = [0.592068   0.77457845 0.8932118  0.95285165 0.97206455 0.9765338\n",
            " 0.97944    0.9838279  0.9879865  0.99011636 0.99021393]\n",
            "."
          ]
        }
      ],
      "source": [
        "# flux values (W) as numpy array\n",
        "print(f\"shape of flux dataset = {flux_data.shape}\\n.\")\n",
        "print(f\"frequencies in dataset = {flux_data.coords.values} \\n.\")\n",
        "print(f\"flux values in dataset = {flux_data.values}\\n.\")"
      ],
      "id": "c9c2f1e1"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "So we can see the dataset stores a 1D array of flux values (Watts) and a\n",
        "1D array of frequency values (Hz).\n",
        "\n",
        "### Manipulating Data\n",
        "\n",
        "We can now do some useful operations with this data, including:"
      ],
      "id": "4e229d47-8d37-4d9a-ba1e-43fddcb1dd34"
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "at central frequency, flux is 9.77e-01 W"
          ]
        }
      ],
      "source": [
        "# Selecting data at a specific coordinate\n",
        "flux_central_freq = flux_data.sel(f=freq0)\n",
        "print(f\"at central frequency, flux is {float(flux_central_freq):.2e} W\")"
      ],
      "id": "b47c71ee"
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "at 4th frequency, flux is 9.72e-01 W"
          ]
        }
      ],
      "source": [
        "# Selecting data at a specific index\n",
        "flux_4th_freq = flux_data.isel(f=4)\n",
        "print(f\"at 4th frequency, flux is {float(flux_4th_freq):.2e} W\")"
      ],
      "id": "e893bb3c"
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "at an intermediate (not stored) frequency, flux is 9.78e-01 W"
          ]
        }
      ],
      "source": [
        "# Interpolating data at a specific coordinate\n",
        "flux_interp_freq = flux_data.interp(f=213.243523142e12)\n",
        "print(f\"at an intermediate (not stored) frequency, flux is {float(flux_interp_freq):.2e} W\")"
      ],
      "id": "93bd8ad3"
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {},
      "outputs": [],
      "source": [
        "# arithmetic operations with numbers\n",
        "flux_times_2_plus_1 = 2 * flux_data + 1"
      ],
      "id": "6d868c30"
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {},
      "outputs": [],
      "source": [
        "# operations with dataset (in this case, dividing by the normalization flux)\n",
        "flux_transmission = flux_data / sim0_data[\"flux\"].flux"
      ],
      "id": "77660bf2"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "There are many more things you can do with the xarray package that are\n",
        "not covered here, so it is best to take a look at [their\n",
        "documentation](http://xarray.pydata.org/en/stable/) for more details.\n",
        "\n",
        "### Plotting Data\n",
        "\n",
        "These datasets have built-in plotting methods, which can be handy for\n",
        "quickly producing customizable plots.\n",
        "\n",
        "Let’s plot the flux data to get a feeling."
      ],
      "id": "3dfff6f9-62a4-45a9-936c-05c505ffb6fb"
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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Pz+h2FxeXfLXVN35TWOIcrfE+6fP06VPx8WuvvZZne/U2MTExUCqVRlePFPTn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\n+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pCXbu3InPP/8cAODg4IDDhw+jXLly+c5v69atOHnyJExNTaX9cIlId4yMjBQG3g0ePFhl2qzH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\n5P8AWbt/gks8mUEAAAAASUVORK5CYII=\n"
          }
        }
      ],
      "source": [
        "f, (ax1, ax2, ax3) = plt.subplots(1, 3, tight_layout=True, figsize=(10, 3))\n",
        "flux_data.plot(ax=ax1)\n",
        "ax1.set_title(\"flux vs. frequency\")\n",
        "ax1.set_xlim(150e12, 250e12)\n",
        "\n",
        "# plot the ratio of flux with scatterer to without scatterer with dashed line signifying unity transmission.\n",
        "flux_transmission.plot(ax=ax2, color=\"k\")\n",
        "ax2.plot(flux_data.f, np.ones_like(flux_data.f), \"--\")\n",
        "ax2.set_ylabel(\"flux(f) / flux_normalize(f)\")\n",
        "ax2.set_xlabel(\"frequency (Hz)\")\n",
        "ax2.set_title(\"transmission spectrum\")\n",
        "ax2.set_xlim(150e12, 250e12)\n",
        "ax2.set_ylim(-0.1, 1.1)\n",
        "\n",
        "# plot the time dependence of the flux\n",
        "flux_time_data.plot(color=\"crimson\", ax=ax3)\n",
        "ax3.set_title(\"flux vs. time\")\n",
        "\n",
        "plt.show()"
      ],
      "id": "1df33028"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Conveniently, xarray adds a lot of the plot labels and formatting\n",
        "automatically, which can save some time.\n",
        "\n",
        "### Complex, Multi-dimensional Data\n",
        "\n",
        "While the flux data is 1D and quite simple, the same approaches apply to\n",
        "more complex data, such as mode amplitude and field data, which can be\n",
        "complex-valued and multi-dimensional.\n",
        "\n",
        "Let’s use the\n",
        "[ModeMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.ModeMonitor.html)\n",
        "data as an example. We’ll access the data using its name `'mode'` in the\n",
        "original simulation and print out some of the metadata to examine."
      ],
      "id": "428fbaef-ef2a-4a5f-bc58-2223b071a650"
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/plain": [
              "(2, 11, 3)"
            ]
          }
        }
      ],
      "source": [
        "mode_data = sim_data[\"mode\"]\n",
        "mode_data.amps.shape"
      ],
      "id": "bd1b3d45"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "As we can see, the data is complex-valued and contains three\n",
        "dimensions. - a propagation direction for the mode, which is just\n",
        "positive or negative (+/-) - an index into the list of modes returned by\n",
        "the solver given our initial\n",
        "[ModeSpec](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.ModeSpec.html)\n",
        "specifications. - the frequency of the mode\n",
        "\n",
        "Let’s plot the data just to get a feeling for it, using `.sel()` to\n",
        "split the forward and backward propagating modes onto separate plot\n",
        "axes."
      ],
      "id": "252e2468-ee3a-433f-b3aa-87fdc6836e54"
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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MmXB0dFTbdtGiRdi8eTMSExM1GsOsWbPyrDW/a9cusdTNuHHj0Lhx4zz7a9u2LTp27Iij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\nxMXFwcLCAkeOHIGNjU1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          }
        }
      ],
      "source": [
        "f, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(8, 3))\n",
        "\n",
        "mode_data.amps.sel(direction=\"+\").abs.plot.line(x=\"f\", ax=ax1)\n",
        "mode_data.amps.sel(direction=\"-\").abs.plot.line(x=\"f\", ax=ax2)\n",
        "ax1.set_xlim(150e12, 250e12)\n",
        "ax2.set_xlim(150e12, 250e12)\n",
        "\n",
        "plt.show()"
      ],
      "id": "e4ce3c2f"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "As before, we can manipulate the data using basic algebra or xarray\n",
        "built ins, for example."
      ],
      "id": "b2926503-dfa0-4537-b751-5fd904b588a6"
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {},
      "outputs": [],
      "source": [
        "# sum absolute value squared of the mode amplitudes to get powers\n",
        "mode_powers = abs(mode_data.amps) ** 2\n",
        "\n",
        "# select the powers at the central frequency only\n",
        "powers_central_freq = mode_powers.sel(f=freq0)\n",
        "\n",
        "# sum the powers over all of the mode indices\n",
        "powers_sum_modes = powers_central_freq.sum(\"mode_index\")"
      ],
      "id": "da4bd6ca"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Field Data\n",
        "\n",
        "Data from a\n",
        "[FieldMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldMonitor.html)\n",
        "or\n",
        "[FieldTimeMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldTimeMonitor.html)\n",
        "is more complicated as it contains data from several field components.\n",
        "\n",
        "As such, when we just grab the data by name, we don’t get an xarray\n",
        "object, but rather a\n",
        "[FieldData](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldData.html)\n",
        "container holding all of the field components."
      ],
      "id": "27f0031c-4c4b-4e39-b063-f6bba3164f44"
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'tidy3d.components.data.monitor_data.FieldData'>"
          ]
        }
      ],
      "source": [
        "field_data = sim_data[\"field\"]\n",
        "field0_data = sim0_data[\"field\"]\n",
        "print(type(field_data))"
      ],
      "id": "9ef640c2"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The field_data object contains data for each of the field components in\n",
        "its `data_dict` dictionary.\n",
        "\n",
        "Let’s look at what field components are contained."
      ],
      "id": "979e6374-362f-479f-930d-2f664df4849e"
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "dict_keys(['attrs', 'type', 'Ex', 'Ey', 'Ez', 'Hx', 'Hy', 'Hz', 'monitor', 'symmetry', 'symmetry_center', 'grid_expanded', 'grid_primal_correction', 'grid_dual_correction'])"
          ]
        }
      ],
      "source": [
        "print(field_data.dict().keys())"
      ],
      "id": "ce598274"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The individual field components, themselves, can be accessed\n",
        "conveniently using a “dot” syntax, and are stored similarly to the flux\n",
        "and mode data as xarray data arrays."
      ],
      "id": "f194c541-f9b4-459a-aa5e-a85f798e5019"
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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              "  --xr-disabled-color: var(\n",
              "    --jp-layout-color3,\n",
              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
              "  );\n",
              "  --xr-background-color: var(\n",
              "    --jp-layout-color0,\n",
              "    var(--pst-color-on-background, #111111)\n",
              "  );\n",
              "  --xr-background-color-row-even: var(\n",
              "    --jp-layout-color1,\n",
              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
              "  );\n",
              "  --xr-background-color-row-odd: var(\n",
              "    --jp-layout-color2,\n",
              "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
              "  );\n",
              "}\n",
              "\n",
              ".xr-wrap {\n",
              "  display: block !important;\n",
              "  min-width: 300px;\n",
              "  max-width: 700px;\n",
              "  line-height: 1.6;\n",
              "  padding-bottom: 4px;\n",
              "}\n",
              "\n",
              ".xr-text-repr-fallback {\n",
              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-header {\n",
              "  padding-top: 6px;\n",
              "  padding-bottom: 6px;\n",
              "}\n",
              "\n",
              ".xr-header {\n",
              "  border-bottom: solid 1px var(--xr-border-color);\n",
              "  margin-bottom: 4px;\n",
              "}\n",
              "\n",
              ".xr-header > div,\n",
              ".xr-header > ul {\n",
              "  display: inline;\n",
              "  margin-top: 0;\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-obj-type,\n",
              ".xr-obj-name {\n",
              "  margin-left: 2px;\n",
              "  margin-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-obj-type,\n",
              ".xr-group-box-contents > label {\n",
              "  color: var(--xr-font-color2);\n",
              "  display: block;\n",
              "}\n",
              "\n",
              ".xr-sections {\n",
              "  padding-left: 0 !important;\n",
              "  display: grid;\n",
              "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
              "  margin-block-start: 0;\n",
              "  margin-block-end: 0;\n",
              "}\n",
              "\n",
              ".xr-section-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-section-item > input,\n",
              ".xr-group-box-contents > input,\n",
              ".xr-array-wrap > input {\n",
              "  display: block;\n",
              "  opacity: 0;\n",
              "  height: 0;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-section-item > input + label,\n",
              ".xr-var-item > input + label {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-item > input:enabled + label,\n",
              ".xr-var-item > input:enabled + label,\n",
              ".xr-array-wrap > input:enabled + label,\n",
              ".xr-group-box-contents > input:enabled + label {\n",
              "  cursor: pointer;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-item > input:focus-visible + label,\n",
              ".xr-var-item > input:focus-visible + label,\n",
              ".xr-array-wrap > input:focus-visible + label,\n",
              ".xr-group-box-contents > input:focus-visible + label {\n",
              "  outline: auto;\n",
              "}\n",
              "\n",
              ".xr-section-item > input:enabled + label:hover,\n",
              ".xr-var-item > input:enabled + label:hover,\n",
              ".xr-array-wrap > input:enabled + label:hover,\n",
              ".xr-group-box-contents > input:enabled + label:hover {\n",
              "  color: var(--xr-font-color0);\n",
              "}\n",
              "\n",
              ".xr-section-summary {\n",
              "  grid-column: 1;\n",
              "  color: var(--xr-font-color2);\n",
              "  font-weight: 500;\n",
              "  white-space: nowrap;\n",
              "}\n",
              "\n",
              ".xr-section-summary > em {\n",
              "  font-weight: normal;\n",
              "}\n",
              "\n",
              ".xr-span-grid {\n",
              "  grid-column-end: -1;\n",
              "}\n",
              "\n",
              ".xr-section-summary > span {\n",
              "  display: inline-block;\n",
              "  padding-left: 0.3em;\n",
              "}\n",
              "\n",
              ".xr-group-box-contents > input:checked + label > span {\n",
              "  display: inline-block;\n",
              "  padding-left: 0.6em;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in + label:before {\n",
              "  display: inline-block;\n",
              "  content: \"►\";\n",
              "  font-size: 11px;\n",
              "  width: 15px;\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label:before {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label:before {\n",
              "  content: \"▼\";\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label > span {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-summary,\n",
              ".xr-section-inline-details,\n",
              ".xr-group-box-contents > label {\n",
              "  padding-top: 4px;\n",
              "}\n",
              "\n",
              ".xr-section-inline-details {\n",
              "  grid-column: 2 / -1;\n",
              "}\n",
              "\n",
              ".xr-section-details {\n",
              "  grid-column: 1 / -1;\n",
              "  margin-top: 4px;\n",
              "  margin-bottom: 5px;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in ~ .xr-section-details {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-children {\n",
              "  display: inline-grid;\n",
              "  grid-template-columns: 100%;\n",
              "  grid-column: 1 / -1;\n",
              "  padding-top: 4px;\n",
              "}\n",
              "\n",
              ".xr-group-box {\n",
              "  display: inline-grid;\n",
              "  grid-template-columns: 0px 30px auto;\n",
              "}\n",
              "\n",
              ".xr-group-box-vline {\n",
              "  grid-column-start: 1;\n",
              "  border-right: 0.2em solid;\n",
              "  border-color: var(--xr-border-color);\n",
              "  width: 0px;\n",
              "}\n",
              "\n",
              ".xr-group-box-hline {\n",
              "  grid-column-start: 2;\n",
              "  grid-row-start: 1;\n",
              "  height: 1em;\n",
              "  width: 26px;\n",
              "  border-bottom: 0.2em solid;\n",
              "  border-color: var(--xr-border-color);\n",
              "}\n",
              "\n",
              ".xr-group-box-contents {\n",
              "  grid-column-start: 3;\n",
              "  padding-bottom: 4px;\n",
              "}\n",
              "\n",
              ".xr-group-box-contents > label::before {\n",
              "  content: \"📂\";\n",
              "  padding-right: 0.3em;\n",
              "}\n",
              "\n",
              ".xr-group-box-contents > input:checked + label::before {\n",
              "  content: \"📁\";\n",
              "}\n",
              "\n",
              ".xr-group-box-contents > input:checked + label {\n",
              "  padding-bottom: 0px;\n",
              "}\n",
              "\n",
              ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-group-box-contents > input + label > span {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-group-box-ellipsis {\n",
              "  font-size: 1.4em;\n",
              "  font-weight: 900;\n",
              "  color: var(--xr-font-color2);\n",
              "  letter-spacing: 0.15em;\n",
              "  cursor: default;\n",
              "}\n",
              "\n",
              ".xr-array-wrap {\n",
              "  grid-column: 1 / -1;\n",
              "  display: grid;\n",
              "  grid-template-columns: 20px auto;\n",
              "}\n",
              "\n",
              ".xr-array-wrap > label {\n",
              "  grid-column: 1;\n",
              "  vertical-align: top;\n",
              "}\n",
              "\n",
              ".xr-preview {\n",
              "  color: var(--xr-font-color3);\n",
              "}\n",
              "\n",
              ".xr-array-preview,\n",
              ".xr-array-data {\n",
              "  padding: 0 5px !important;\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-array-data,\n",
              ".xr-array-in:checked ~ .xr-array-preview {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-array-in:checked ~ .xr-array-data,\n",
              ".xr-array-preview {\n",
              "  display: inline-block;\n",
              "}\n",
              "\n",
              ".xr-dim-list {\n",
              "  display: inline-block !important;\n",
              "  list-style: none;\n",
              "  padding: 0 !important;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list li {\n",
              "  display: inline-block;\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list:before {\n",
              "  content: \"(\";\n",
              "}\n",
              "\n",
              ".xr-dim-list:after {\n",
              "  content: \")\";\n",
              "}\n",
              "\n",
              ".xr-dim-list li:not(:last-child):after {\n",
              "  content: \",\";\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-has-index {\n",
              "  font-weight: bold;\n",
              "}\n",
              "\n",
              ".xr-var-list,\n",
              ".xr-var-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-var-item > div,\n",
              ".xr-var-item label,\n",
              ".xr-var-item > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-even);\n",
              "  border-color: var(--xr-background-color-row-odd);\n",
              "  margin-bottom: 0;\n",
              "  padding-top: 2px;\n",
              "}\n",
              "\n",
              ".xr-var-item > .xr-var-name:hover span {\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-var-list > li:nth-child(odd) > div,\n",
              ".xr-var-list > li:nth-child(odd) > label,\n",
              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-odd);\n",
              "  border-color: var(--xr-background-color-row-even);\n",
              "}\n",
              "\n",
              ".xr-var-name {\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-var-dims {\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-var-dtype {\n",
              "  grid-column: 3;\n",
              "  text-align: right;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-preview {\n",
              "  grid-column: 4;\n",
              "}\n",
              "\n",
              ".xr-index-preview {\n",
              "  grid-column: 2 / 5;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-name,\n",
              ".xr-var-dims,\n",
              ".xr-var-dtype,\n",
              ".xr-preview,\n",
              ".xr-attrs dt {\n",
              "  white-space: nowrap;\n",
              "  overflow: hidden;\n",
              "  text-overflow: ellipsis;\n",
              "  padding-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-var-name:hover,\n",
              ".xr-var-dims:hover,\n",
              ".xr-var-dtype:hover,\n",
              ".xr-attrs dt:hover {\n",
              "  overflow: visible;\n",
              "  width: auto;\n",
              "  z-index: 1;\n",
              "}\n",
              "\n",
              ".xr-var-attrs,\n",
              ".xr-var-data,\n",
              ".xr-index-data {\n",
              "  display: none;\n",
              "  border-top: 2px dotted var(--xr-background-color);\n",
              "  padding-bottom: 20px !important;\n",
              "  padding-top: 10px !important;\n",
              "}\n",
              "\n",
              ".xr-var-attrs-in + label,\n",
              ".xr-var-data-in + label,\n",
              ".xr-index-data-in + label {\n",
              "  padding: 0 1px;\n",
              "}\n",
              "\n",
              ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
              ".xr-var-data-in:checked ~ .xr-var-data,\n",
              ".xr-index-data-in:checked ~ .xr-index-data {\n",
              "  display: block;\n",
              "}\n",
              "\n",
              ".xr-var-data > table {\n",
              "  float: right;\n",
              "}\n",
              "\n",
              ".xr-var-data > pre,\n",
              ".xr-index-data > pre,\n",
              ".xr-var-data > table > tbody > tr {\n",
              "  background-color: transparent !important;\n",
              "}\n",
              "\n",
              ".xr-var-name span,\n",
              ".xr-var-data,\n",
              ".xr-index-name div,\n",
              ".xr-index-data,\n",
              ".xr-attrs {\n",
              "  padding-left: 25px !important;\n",
              "}\n",
              "\n",
              ".xr-attrs,\n",
              ".xr-var-attrs,\n",
              ".xr-var-data,\n",
              ".xr-index-data {\n",
              "  grid-column: 1 / -1;\n",
              "}\n",
              "\n",
              "dl.xr-attrs {\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "  display: grid;\n",
              "  grid-template-columns: 125px auto;\n",
              "}\n",
              "\n",
              ".xr-attrs dt,\n",
              ".xr-attrs dd {\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "  float: left;\n",
              "  padding-right: 10px;\n",
              "  width: auto;\n",
              "}\n",
              "\n",
              ".xr-attrs dt {\n",
              "  font-weight: normal;\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-attrs dt:hover span {\n",
              "  display: inline-block;\n",
              "  background: var(--xr-background-color);\n",
              "  padding-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-attrs dd {\n",
              "  grid-column: 2;\n",
              "  white-space: pre-wrap;\n",
              "  word-break: break-all;\n",
              "}\n",
              "\n",
              ".xr-icon-database,\n",
              ".xr-icon-file-text2,\n",
              ".xr-no-icon {\n",
              "  display: inline-block;\n",
              "  vertical-align: middle;\n",
              "  width: 1em;\n",
              "  height: 1.5em !important;\n",
              "  stroke-width: 0;\n",
              "  stroke: currentColor;\n",
              "  fill: currentColor;\n",
              "}\n",
              "\n",
              ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
              ".xr-var-data-in:checked + label > .xr-icon-database,\n",
              ".xr-index-data-in:checked + label > .xr-icon-database {\n",
              "  color: var(--xr-font-color0);\n",
              "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
              "  stroke-width: 0.8px;\n",
              "}\n",
              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.ScalarFieldDataArray (x: 177, y: 1, z: 153, f: 11)&gt; Size: 2MB\n",
              "array([[[[ 0.00000000e+00+0.0000000e+00j,\n",
              "           0.00000000e+00+0.0000000e+00j,\n",
              "          -0.00000000e+00-0.0000000e+00j, ...,\n",
              "           0.00000000e+00+0.0000000e+00j,\n",
              "           0.00000000e+00-0.0000000e+00j,\n",
              "          -0.00000000e+00-0.0000000e+00j],\n",
              "         [-1.03255701e-07-2.5374369e-08j,\n",
              "           5.41637029e-08-3.7628077e-08j,\n",
              "           2.00548076e-08+4.6851651e-09j, ...,\n",
              "          -2.56676351e-08-2.8938734e-08j,\n",
              "           3.51631080e-08-3.3706392e-08j,\n",
              "           1.34207072e-08+2.5159427e-08j],\n",
              "         [-1.63085815e-06+3.1168776e-07j,\n",
              "           7.88612169e-07-9.5575308e-07j,\n",
              "           5.24327220e-07+9.5506046e-08j, ...,\n",
              "          -7.70589395e-07-3.4608752e-07j,\n",
              "           4.31315556e-07-7.8362245e-07j,\n",
              "           5.01040574e-07+4.0619346e-07j],\n",
              "         ...,\n",
              "         [ 7.78676821e-08+3.3992279e-08j,\n",
              "...\n",
              "         ...,\n",
              "         [ 1.52690083e-09+6.8888304e-09j,\n",
              "           5.72459968e-10-9.8161737e-09j,\n",
              "           1.21279531e-09+4.8607771e-09j, ...,\n",
              "          -1.66082192e-09-4.3501642e-09j,\n",
              "           2.48044851e-09+5.5158778e-10j,\n",
              "          -2.48650323e-09+2.3190344e-10j],\n",
              "         [ 2.51617438e-09-1.0591057e-09j,\n",
              "           1.55871815e-09-1.1426153e-09j,\n",
              "           8.94340435e-10-1.5326224e-10j, ...,\n",
              "           3.90761062e-10-8.0041224e-10j,\n",
              "           2.22985241e-10-1.9410672e-10j,\n",
              "          -8.13262013e-10-1.7874757e-10j],\n",
              "         [ 0.00000000e+00+0.0000000e+00j,\n",
              "           0.00000000e+00+0.0000000e+00j,\n",
              "          -0.00000000e+00-0.0000000e+00j, ...,\n",
              "           0.00000000e+00+0.0000000e+00j,\n",
              "           0.00000000e+00-0.0000000e+00j,\n",
              "          -0.00000000e+00-0.0000000e+00j]]]],\n",
              "      shape=(177, 1, 153, 11), dtype=complex64)\n",
              "Coordinates:\n",
              "  * x        (x) float64 1kB -2.896 -2.863 -2.83 -2.797 ... 2.83 2.863 2.896\n",
              "  * y        (y) float64 8B 0.0\n",
              "  * z        (z) float64 1kB -3.061 -3.015 -2.968 -2.921 ... 2.968 3.015 3.062\n",
              "  * f        (f) float64 88B 1e+14 1.2e+14 1.4e+14 ... 2.6e+14 2.8e+14 3e+14\n",
              "Attributes:\n",
              "    long_name:  field value</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.ScalarFieldDataArray</div><div class='xr-obj-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 177</li><li><span class='xr-has-index'>y</span>: 1</li><li><span class='xr-has-index'>z</span>: 153</li><li><span class='xr-has-index'>f</span>: 11</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ebcfeb65-ebaf-4fbd-889c-9e7d0be7eb0e' class='xr-array-in' type='checkbox' checked><label for='section-ebcfeb65-ebaf-4fbd-889c-9e7d0be7eb0e' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0j 0j (-0-0j) (-0-0j) 0j 0j ... 0j (-0-0j) (-0+0j) 0j -0j (-0-0j)</span></div><div class='xr-array-data'><pre>array([[[[ 0.00000000e+00+0.0000000e+00j,\n",
              "           0.00000000e+00+0.0000000e+00j,\n",
              "          -0.00000000e+00-0.0000000e+00j, ...,\n",
              "           0.00000000e+00+0.0000000e+00j,\n",
              "           0.00000000e+00-0.0000000e+00j,\n",
              "          -0.00000000e+00-0.0000000e+00j],\n",
              "         [-1.03255701e-07-2.5374369e-08j,\n",
              "           5.41637029e-08-3.7628077e-08j,\n",
              "           2.00548076e-08+4.6851651e-09j, ...,\n",
              "          -2.56676351e-08-2.8938734e-08j,\n",
              "           3.51631080e-08-3.3706392e-08j,\n",
              "           1.34207072e-08+2.5159427e-08j],\n",
              "         [-1.63085815e-06+3.1168776e-07j,\n",
              "           7.88612169e-07-9.5575308e-07j,\n",
              "           5.24327220e-07+9.5506046e-08j, ...,\n",
              "          -7.70589395e-07-3.4608752e-07j,\n",
              "           4.31315556e-07-7.8362245e-07j,\n",
              "           5.01040574e-07+4.0619346e-07j],\n",
              "         ...,\n",
              "         [ 7.78676821e-08+3.3992279e-08j,\n",
              "...\n",
              "         ...,\n",
              "         [ 1.52690083e-09+6.8888304e-09j,\n",
              "           5.72459968e-10-9.8161737e-09j,\n",
              "           1.21279531e-09+4.8607771e-09j, ...,\n",
              "          -1.66082192e-09-4.3501642e-09j,\n",
              "           2.48044851e-09+5.5158778e-10j,\n",
              "          -2.48650323e-09+2.3190344e-10j],\n",
              "         [ 2.51617438e-09-1.0591057e-09j,\n",
              "           1.55871815e-09-1.1426153e-09j,\n",
              "           8.94340435e-10-1.5326224e-10j, ...,\n",
              "           3.90761062e-10-8.0041224e-10j,\n",
              "           2.22985241e-10-1.9410672e-10j,\n",
              "          -8.13262013e-10-1.7874757e-10j],\n",
              "         [ 0.00000000e+00+0.0000000e+00j,\n",
              "           0.00000000e+00+0.0000000e+00j,\n",
              "          -0.00000000e+00-0.0000000e+00j, ...,\n",
              "           0.00000000e+00+0.0000000e+00j,\n",
              "           0.00000000e+00-0.0000000e+00j,\n",
              "          -0.00000000e+00-0.0000000e+00j]]]],\n",
              "      shape=(177, 1, 153, 11), dtype=complex64)</pre></div></div></li><li class='xr-section-item'><input id='section-120e620a-54ed-473c-941b-8d601c737676' class='xr-section-summary-in' type='checkbox' checked /><label for='section-120e620a-54ed-473c-941b-8d601c737676' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.896 -2.863 -2.83 ... 2.863 2.896</div><input id='attrs-7337c800-eb17-4308-b9f9-20948a9788a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7337c800-eb17-4308-b9f9-20948a9788a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19a26d28-2b11-4e4e-8f9d-0b461e15c921' class='xr-var-data-in' type='checkbox'><label for='data-19a26d28-2b11-4e4e-8f9d-0b461e15c921' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>um</dd><dt><span>long_name :</span></dt><dd>x position</dd></dl></div><div class='xr-var-data'><pre>array([-2.896226e+00, -2.863208e+00, -2.830189e+00, -2.797170e+00,\n",
              "       -2.764151e+00, -2.731132e+00, -2.698113e+00, -2.665094e+00,\n",
              "       -2.632075e+00, -2.599057e+00, -2.566038e+00, -2.533019e+00,\n",
              "       -2.500000e+00, -2.466981e+00, -2.433962e+00, -2.400943e+00,\n",
              "       -2.367925e+00, -2.334906e+00, -2.301887e+00, -2.268868e+00,\n",
              "       -2.235849e+00, -2.202830e+00, -2.169811e+00, -2.136792e+00,\n",
              "       -2.103774e+00, -2.070755e+00, -2.037736e+00, -2.004717e+00,\n",
              "       -1.971698e+00, -1.938679e+00, -1.905660e+00, -1.872642e+00,\n",
              "       -1.839623e+00, -1.806604e+00, -1.773585e+00, -1.740566e+00,\n",
              "       -1.707547e+00, -1.674528e+00, -1.641509e+00, -1.608491e+00,\n",
              "       -1.575472e+00, -1.542453e+00, -1.509434e+00, -1.476415e+00,\n",
              "       -1.443396e+00, -1.410377e+00, -1.377358e+00, -1.344340e+00,\n",
              "       -1.311321e+00, -1.278302e+00, -1.245283e+00, -1.212264e+00,\n",
              "       -1.179245e+00, -1.146226e+00, -1.113208e+00, -1.080189e+00,\n",
              "       -1.047170e+00, -1.014151e+00, -9.811321e-01, -9.481132e-01,\n",
              "       -9.150943e-01, -8.820755e-01, -8.490566e-01, -8.160377e-01,\n",
              "       -7.830189e-01, -7.500000e-01, -7.173913e-01, -6.847826e-01,\n",
              "       -6.521739e-01, -6.195652e-01, -5.869565e-01, -5.543478e-01,\n",
              "       -5.217391e-01, -4.891304e-01, -4.565217e-01, -4.239130e-01,\n",
              "       -3.913043e-01, -3.586957e-01, -3.260870e-01, -2.934783e-01,\n",
              "       -2.608696e-01, -2.282609e-01, -1.956522e-01, -1.630435e-01,\n",
              "       -1.304348e-01, -9.782609e-02, -6.521739e-02, -3.260870e-02,\n",
              "       -2.220446e-15,  3.260870e-02,  6.521739e-02,  9.782609e-02,\n",
              "        1.304348e-01,  1.630435e-01,  1.956522e-01,  2.282609e-01,\n",
              "        2.608696e-01,  2.934783e-01,  3.260870e-01,  3.586957e-01,\n",
              "        3.913043e-01,  4.239130e-01,  4.565217e-01,  4.891304e-01,\n",
              "        5.217391e-01,  5.543478e-01,  5.869565e-01,  6.195652e-01,\n",
              "        6.521739e-01,  6.847826e-01,  7.173913e-01,  7.500000e-01,\n",
              "        7.830189e-01,  8.160377e-01,  8.490566e-01,  8.820755e-01,\n",
              "        9.150943e-01,  9.481132e-01,  9.811321e-01,  1.014151e+00,\n",
              "        1.047170e+00,  1.080189e+00,  1.113208e+00,  1.146226e+00,\n",
              "        1.179245e+00,  1.212264e+00,  1.245283e+00,  1.278302e+00,\n",
              "        1.311321e+00,  1.344340e+00,  1.377358e+00,  1.410377e+00,\n",
              "        1.443396e+00,  1.476415e+00,  1.509434e+00,  1.542453e+00,\n",
              "        1.575472e+00,  1.608491e+00,  1.641509e+00,  1.674528e+00,\n",
              "        1.707547e+00,  1.740566e+00,  1.773585e+00,  1.806604e+00,\n",
              "        1.839623e+00,  1.872642e+00,  1.905660e+00,  1.938679e+00,\n",
              "        1.971698e+00,  2.004717e+00,  2.037736e+00,  2.070755e+00,\n",
              "        2.103774e+00,  2.136792e+00,  2.169811e+00,  2.202830e+00,\n",
              "        2.235849e+00,  2.268868e+00,  2.301887e+00,  2.334906e+00,\n",
              "        2.367925e+00,  2.400943e+00,  2.433962e+00,  2.466981e+00,\n",
              "        2.500000e+00,  2.533019e+00,  2.566038e+00,  2.599057e+00,\n",
              "        2.632075e+00,  2.665094e+00,  2.698113e+00,  2.731132e+00,\n",
              "        2.764151e+00,  2.797170e+00,  2.830189e+00,  2.863208e+00,\n",
              "        2.896226e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-b5c02120-507c-430f-bc20-4e229d5599e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5c02120-507c-430f-bc20-4e229d5599e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f597def-b327-4683-9ff7-05b650912bc6' class='xr-var-data-in' type='checkbox'><label for='data-1f597def-b327-4683-9ff7-05b650912bc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>um</dd><dt><span>long_name :</span></dt><dd>y position</dd></dl></div><div class='xr-var-data'><pre>array([0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-3.061 -3.015 ... 3.015 3.062</div><input id='attrs-6efa274c-d671-4dcb-aef8-f6b491054543' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6efa274c-d671-4dcb-aef8-f6b491054543' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82a62881-a6c9-41a3-8854-5ea295a9c2bf' class='xr-var-data-in' type='checkbox'><label for='data-82a62881-a6c9-41a3-8854-5ea295a9c2bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>um</dd><dt><span>long_name :</span></dt><dd>z position</dd></dl></div><div class='xr-var-data'><pre>array([-3.061435, -3.014649, -2.967862, -2.921076, -2.87429 , -2.827504,\n",
              "       -2.780717, -2.733931, -2.687145, -2.640359, -2.593572, -2.546786,\n",
              "       -2.5     , -2.453214, -2.406428, -2.359641, -2.312855, -2.266069,\n",
              "       -2.219283, -2.172496, -2.12571 , -2.078924, -2.032138, -1.985351,\n",
              "       -1.938565, -1.891779, -1.844993, -1.798206, -1.75142 , -1.704634,\n",
              "       -1.657848, -1.611062, -1.564275, -1.517489, -1.470703, -1.423917,\n",
              "       -1.37713 , -1.330344, -1.283558, -1.236772, -1.189985, -1.143199,\n",
              "       -1.096413, -1.049627, -1.00284 , -0.956054, -0.909268, -0.862482,\n",
              "       -0.816166, -0.783083, -0.75    , -0.71875 , -0.6875  , -0.65625 ,\n",
              "       -0.625   , -0.59375 , -0.5625  , -0.53125 , -0.5     , -0.46875 ,\n",
              "       -0.4375  , -0.40625 , -0.375   , -0.34375 , -0.3125  , -0.28125 ,\n",
              "       -0.25    , -0.217742, -0.185484, -0.153226, -0.120968, -0.08871 ,\n",
              "       -0.056452, -0.024194,  0.008065,  0.040323,  0.072581,  0.104839,\n",
              "        0.137097,  0.169355,  0.201613,  0.233871,  0.266129,  0.298387,\n",
              "        0.330645,  0.362903,  0.395161,  0.427419,  0.459677,  0.491935,\n",
              "        0.524194,  0.556452,  0.58871 ,  0.620968,  0.653226,  0.685484,\n",
              "        0.717742,  0.75    ,  0.78125 ,  0.8125  ,  0.84375 ,  0.875   ,\n",
              "        0.90625 ,  0.9375  ,  0.96875 ,  1.      ,  1.03125 ,  1.0625  ,\n",
              "        1.09375 ,  1.125   ,  1.15625 ,  1.1875  ,  1.21875 ,  1.25    ,\n",
              "        1.283123,  1.329407,  1.375778,  1.422621,  1.469463,  1.516306,\n",
              "        1.563149,  1.609991,  1.656834,  1.703676,  1.750519,  1.797361,\n",
              "        1.844204,  1.891047,  1.937889,  1.984732,  2.031574,  2.078417,\n",
              "        2.125259,  2.172102,  2.218945,  2.265787,  2.31263 ,  2.359472,\n",
              "        2.406315,  2.453157,  2.5     ,  2.546843,  2.593685,  2.640528,\n",
              "        2.68737 ,  2.734213,  2.781055,  2.827898,  2.874741,  2.921583,\n",
              "        2.968426,  3.015268,  3.062111])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>f</span></div><div class='xr-var-dims'>(f)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+14 1.2e+14 ... 2.8e+14 3e+14</div><input id='attrs-a29b5e14-ae28-49d4-b044-ce940c9e24e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a29b5e14-ae28-49d4-b044-ce940c9e24e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-425add39-d058-454a-84f2-f08d1770d588' class='xr-var-data-in' type='checkbox'><label for='data-425add39-d058-454a-84f2-f08d1770d588' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>long_name :</span></dt><dd>frequency</dd></dl></div><div class='xr-var-data'><pre>array([1.0e+14, 1.2e+14, 1.4e+14, 1.6e+14, 1.8e+14, 2.0e+14, 2.2e+14, 2.4e+14,\n",
              "       2.6e+14, 2.8e+14, 3.0e+14])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3fda6939-da9f-425d-ab72-1f7b05b38d47' class='xr-section-summary-in' type='checkbox' checked /><label for='section-3fda6939-da9f-425d-ab72-1f7b05b38d47' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>field value</dd></dl></div></li></ul></div></div>"
            ]
          }
        }
      ],
      "source": [
        "field_data.Ex"
      ],
      "id": "44089f8f"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "In this case, the dimensions of the data are the spatial locations on\n",
        "the yee lattice (x,y,z) and the frequency.\n",
        "\n",
        "### Colocating Field Data\n",
        "\n",
        "For many advanced plots and other manipulations, it is convenient to\n",
        "have the field data co-located at the same positions, since they are\n",
        "naturally defined on separate locations on the yee lattice. There are\n",
        "several convenience methods that can be used for this."
      ],
      "id": "93948155-9438-465b-8941-206621c77359"
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:00:24 UTC </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Colocating data that has already been colocated during the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">solver run. For most accurate results when colocating to custom    </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">coordinates set </span><span style=\"color: #008000; text-decoration-color: #008000\">'Monitor.colocate'</span><span style=\"color: #800000; text-decoration-color: #800000\"> to </span><span style=\"color: #008000; text-decoration-color: #008000\">'False'</span><span style=\"color: #800000; text-decoration-color: #800000\"> to use the raw data  </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">on the Yee grid and avoid double interpolation. Note: the default  </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">value was changed to </span><span style=\"color: #008000; text-decoration-color: #008000\">'True'</span><span style=\"color: #800000; text-decoration-color: #800000\"> in Tidy3D version </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.4</span><span style=\"color: #800000; text-decoration-color: #800000\">.</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span><span style=\"color: #800000; text-decoration-color: #800000\">.               </span>\n",
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Colocating data that has already been colocated during the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">solver run. For most accurate results when colocating to custom    </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">coordinates set </span><span style=\"color: #008000; text-decoration-color: #008000\">'Monitor.colocate'</span><span style=\"color: #800000; text-decoration-color: #800000\"> to </span><span style=\"color: #008000; text-decoration-color: #008000\">'False'</span><span style=\"color: #800000; text-decoration-color: #800000\"> to use the raw data  </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">on the Yee grid and avoid double interpolation. Note: the default  </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">value was changed to </span><span style=\"color: #008000; text-decoration-color: #008000\">'True'</span><span style=\"color: #800000; text-decoration-color: #800000\"> in Tidy3D version </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.4</span><span style=\"color: #800000; text-decoration-color: #800000\">.</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span><span style=\"color: #800000; text-decoration-color: #800000\">.               </span>\n",
              "</pre>"
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Colocating data that has already been colocated during the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">solver run. For most accurate results when colocating to custom    </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">coordinates set </span><span style=\"color: #008000; text-decoration-color: #008000\">'Monitor.colocate'</span><span style=\"color: #800000; text-decoration-color: #800000\"> to </span><span style=\"color: #008000; text-decoration-color: #008000\">'False'</span><span style=\"color: #800000; text-decoration-color: #800000\"> to use the raw data  </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">on the Yee grid and avoid double interpolation. Note: the default  </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">value was changed to </span><span style=\"color: #008000; text-decoration-color: #008000\">'True'</span><span style=\"color: #800000; text-decoration-color: #800000\"> in Tidy3D version </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.4</span><span style=\"color: #800000; text-decoration-color: #800000\">.</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span><span style=\"color: #800000; text-decoration-color: #800000\">.               </span>\n",
              "</pre>"
            ]
          }
        }
      ],
      "source": [
        "# Colocate data to the Yee grid centers\n",
        "field0_data_centered = sim0_data.at_centers(\"field\").interp(f=200e12)\n",
        "field_data_centered = sim_data.at_centers(\"field\").interp(f=200e12)\n",
        "\n",
        "# Colocate data to Yee grid boundaries\n",
        "# Note: by default, data is already colocated there, unless `colocate=False` is set in the monitor.\n",
        "# Here, at_boundaries just converts the Tidy3D data into an xarray Dataset.\n",
        "field_data_boundaries = sim_data.at_boundaries(\"field\").interp(f=200e12)\n",
        "\n",
        "# Colocate to custom coordinates\n",
        "# Note: some or all of the x/y/z coordinates can be provided\n",
        "field_data_colocate_z = sim_data[\"field\"].colocate(z=np.linspace(-1, 1, 21))"
      ],
      "id": "9fbe6ec9"
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Colocating data that has already been colocated during the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">solver run. For most accurate results when colocating to custom    </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">coordinates set </span><span style=\"color: #008000; text-decoration-color: #008000\">'Monitor.colocate'</span><span style=\"color: #800000; text-decoration-color: #800000\"> to </span><span style=\"color: #008000; text-decoration-color: #008000\">'False'</span><span style=\"color: #800000; text-decoration-color: #800000\"> to use the raw data  </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">on the Yee grid and avoid double interpolation. Note: the default  </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">value was changed to </span><span style=\"color: #008000; text-decoration-color: #008000\">'True'</span><span style=\"color: #800000; text-decoration-color: #800000\"> in Tidy3D version </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.4</span><span style=\"color: #800000; text-decoration-color: #800000\">.</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span><span style=\"color: #800000; text-decoration-color: #800000\">.               </span>\n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Colocating data that has already been colocated during the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">solver run. For most accurate results when colocating to custom    </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">coordinates set </span><span style=\"color: #008000; text-decoration-color: #008000\">'Monitor.colocate'</span><span style=\"color: #800000; text-decoration-color: #800000\"> to </span><span style=\"color: #008000; text-decoration-color: #008000\">'False'</span><span style=\"color: #800000; text-decoration-color: #800000\"> to use the raw data  </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">on the Yee grid and avoid double interpolation. Note: the default  </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">value was changed to </span><span style=\"color: #008000; text-decoration-color: #008000\">'True'</span><span style=\"color: #800000; text-decoration-color: #800000\"> in Tidy3D version </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.4</span><span style=\"color: #800000; text-decoration-color: #800000\">.</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span><span style=\"color: #800000; text-decoration-color: #800000\">.               </span>\n",
              "</pre>"
            ]
          }
        }
      ],
      "source": [
        "field0_data_centered = sim0_data.at_centers(\"field\").interp(f=200e12)\n",
        "field_data_centered = sim_data.at_centers(\"field\").interp(f=200e12)"
      ],
      "id": "65482dc3"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "All these methods return an xarray\n",
        "[Dataset](https://xarray.pydata.org/en/stable/generated/xarray.Dataset.html),\n",
        "which provides similar functionality as the\n",
        "[DataArray](https://xarray.pydata.org/en/stable/generated/xarray.DataArray.html)\n",
        "objects, but is aware of all of the field data and provides more\n",
        "convenience methods, as we will explore in the next section.\n",
        "\n",
        "### Plotting Fields\n",
        "\n",
        "#### Simple\n",
        "\n",
        "Plotting fields requires a little bit of manipulation to get them in the\n",
        "right shape, but then it is straightforward."
      ],
      "id": "25b1368c-8f9f-4407-a377-278112a325d3"
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {},
      "outputs": [],
      "source": [
        "# get the field data on the y=0 plane at frequency 200THz\n",
        "Ez_data = field_data.Ez.isel(y=0).interp(f=2e14)\n",
        "Ez0_data = field0_data.Ez.isel(y=0).interp(f=2e14)"
      ],
      "id": "45ac7a54"
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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RH2J4vV5t6NChfuf5zTfftEzr5MmTWvfu3f1Kp2bNmoWmIT5c8/V33XXXWXZKDccD19TU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PQy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\nwQaor6/HwoUL8dJLL+GTTz5BLBbD/vvvj9/85jeBxxw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g7HyMhITZ061fx/jRo11LdvX1WrVk0hISG6cuWK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\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mGJYzlx7WlraOqt7hbV1rfuLUmxrYSGreyOUL04T12TFMR3gq5MifryZtsC9ZWM4fcZp6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\nT0+Xw+HQq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          }
        }
      ],
      "source": [
        "# amplitude plot rz Ex(x,y) field on plane\n",
        "_, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, tight_layout=True, figsize=(10, 6))\n",
        "\n",
        "Ez0_data.real.plot(x=\"x\", y=\"z\", ax=ax1)\n",
        "Ez_data.real.plot(x=\"x\", y=\"z\", ax=ax2)\n",
        "\n",
        "abs(Ez0_data).plot(x=\"x\", y=\"z\", cmap=\"magma\", ax=ax3)\n",
        "abs(Ez_data).plot(x=\"x\", y=\"z\", cmap=\"magma\", ax=ax4)\n",
        "\n",
        "ax1.set_title(\"without scatterer (real Ez)\")\n",
        "ax2.set_title(\"with scatterer (real Ez)\")\n",
        "ax3.set_title(\"without scatterer (abs Ez)\")\n",
        "ax4.set_title(\"with scatterer (abs Ez)\")\n",
        "plt.show()"
      ],
      "id": "67146062"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "#### Advanced\n",
        "\n",
        "More advanced plotting is available and is best done with the centered\n",
        "field data.\n",
        "\n",
        "##### Structure Overlay\n",
        "\n",
        "One can overlay the structure permittivity by calling `plot_fields` from\n",
        "the\n",
        "[SimulationData](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.SimulationData.html)\n",
        "object as follows:"
      ],
      "id": "fef52131-e156-4595-821c-2738ca6eaa05"
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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A7NmzAQBbbLFF3sudMmUK7rvvPrz++ut48MEH8frrr6OlpQVNTU2YOnUqDjzw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\n/HN3sAM7jZj+b87VNvRVknJ9Jog6X/rcn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OOzZ7lQAAwDjGkyYAALS5f/u3f1Mul9NZZ53V1jdM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\n"
          }
        }
      ],
      "source": [
        "ax = sim_data.plot_field(\"field\", \"Ex\", y=0.0, f=200e12, eps_alpha=0.2)"
      ],
      "id": "97f465eb"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "##### Quiver Plots\n",
        "\n",
        "Quiver plotting can be done through the centered field Dataset. We first\n",
        "should spatially downsample the data to be quivered to reduce clutter on\n",
        "the plot, which can be done by `.sel()` with `slice(None, None, skip)`\n",
        "range to select every `skip` data point along that axis."
      ],
      "id": "d908ff67-d128-4c65-958e-ca0cbe7f9ee6"
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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HH3xg+H9oaGi26z/Je1O2bFmjS/2J8jNn6Tcs7Q+IiIjI+jiISETkgDZu3IiZ\nM2cCyJxJxFxi+UPW4igeHh4KRmIfcXFxFhWweDKIOGHCBIsvySRyVs7Sb1jaHxAREZH1cRCRiMhB\ndOvWDffv30dERATCwsIMywcMGJDnHGBEzmDhwoVIT0/P8RJtIiIiIiKynKR/kkmeiIhUrUKFCrh9\n+7bRsmLFiuH06dMoVaqUQlGRrd2+fRsxMTEmyzUaDerUqaNARPYTHx+PGzduCO+rWLEiChYsaOeI\niByDM/Yb7A+IiIiUx0FEIiIH8ewgYsuWLTF//nzOuiIiIiIiIiKb4yAiEZGDuHjxItLS0uDi4oJS\npUqhSJEiSodERERERERE+QQHEYmIiIiIiIiIiChbGqUDICIiIiIiIiIiInXjICIRERERERERERFl\ni4OIRERERERERERElC0OIhIREREREREREVG2XJUOwBnp9XpERkbi/v37iIuLQ8GCBfH888/D29tb\n6dCIiIiIiIiIyInp9XpIkqR0GOSEOIhoJenp6Vi0aBF27tyJPXv2IDY21uh+jUaD1q1bY/z48eja\ntavV95+RkYG7d+8CAPz8/KDRcJIpEREREREROR6dTof4+HgAQNmyZeHqyqELc0VERGDBggWYMmWK\n0qGQE5L0er1e6SCcwcOHD1G0aFEAmQOGxYsXR5kyZQAAd+7cwYMHDwzrjhs3Dt9++61V93/z5k1U\nqlTJqtskIiIiIiIiUtKNGzdQsWJFpcNwGCNHjsSvv/6KK1euoEKFCkqHQ06G09WsxN3dHR9++CF2\n7tyJhIQE3L9/H8eOHcOxY8cQHh6OnTt3okaNGgCA7777DuvXr1c4YiIiIiIiIiJyFleuXMEvP/+M\ntLQ0TJo0SelwyAlxJqIdhYSE4LnnnoNer0efPn2wevVqq207KioKAQEBAIALFy7A39/fatsmIjIH\ns64Q2R4/tJG1sM+mJ9iv5D+OcPzHxsaiRs2aADKv+itSpIjCETmGvn37Ys2aNYb/nzhxAg0bNlQw\nInI2TCxgR5UrV0alSpUQEhJiyF9oLVlzIPr7+6NQoUJW3T4RUU4c4QMpkaPjl32yFvbZ9AT7lfzH\n0Y5/5vs3z8GDBw0DiEXghiikY9y4cdi1axeLrJDV8Gi0I51OZyi4Ur58eWWDISIiIiIiIiKHp9fr\nMW7cOABAZXijPYpCArBnzx5s3rxZ2eDIqXAQ0Y5++eUXREVFAQDefvtthaMhIiIiIiIiIke3cuVK\nHD16FBoAgfBHIbihGnwAAOPHj0dGRoayAZLT4OXMNhAVFYXTp08DAJKSknDv3j2sXr3aMI146tSp\n6N69u832L8F4ijovUSByLrwYgcj2eO4ka2Gfnf+w/8h/eJyTktLS0jBx4kQAQE34wg9uAIBG8Mc1\nPMLFixexZMkSDBs2TMkwyUlwENEGjh8/jq5du5osb968OebPn4/atWvnarsxMTGy9z25TJqIiIiI\niIiI8of58+cjJCQE7pDQAAUNy73hgnrwwwnE4dNPP8WAAQNQoEABBSMlZ8DLmW0gICAA7du3R/v2\n7dGiRQuULFkSAHD48GH06dMH+/fvz9V2CxcuLHurVKmSNZ8CEREREREREalYbGwsPh79IQCgPgrC\nEy5G99eBH7zhgvDwcMyaNUuJEMnJSHq9njPu7eDgwYMYMWIELl68CHd3d2zYsAGdOnWyaBvmVlS6\nHxpqVJ2ZbzCRc+ElM0S2x3MnWQv77PyH/Uf+w+Pc+mJiYlCqdGkAQHR0tNH3W3pqwoQJ+Oabb+AD\nF/RHabgKWuMlJGA/ouEKCXfD7qNEiRIKRErOgoOIdhQZGYmaNWsiMjISVapUwdWrVy0qtZ7T5cxP\nZiNyEJHIufGDKpHt8dxJ1sI+O/9h/5H/8Di3Pg4i5uzOnTuoVL48tABeQBE897iQyrN00GMlwhCD\ndIwYMQLz58+3b6DkVHg5sx0VLVoUb731FgDg+vXruHz5skWPL1SokOzN39/f+gETkdkkO96InJ1e\nBTdyPPbsh9lnq4PS/QT7D/tT+njmcW45Hku2M2XKFGgBBMAdVSCf61ADCU3gDwBYuGABLl26ZJ8A\nySlxENHOqlSpYvg7LCxMwUiIiIiIiIiIyNGcOXMGy5YtAwA0hT+kHIazy8ELpeABPTIvgSbKLQ4i\n2lnWS5I5e5CIiIiIiIiIzKXX6zFu3DgAmYODpeGV42MkSGiKzEvC169fn+tir0QcRLSztWvXAgC8\nvb1Ro0YNZYMhIiIiIiIiIoexbds27Ny5ExJguEzZHEXhgSrwBgCMHTsWOp3ONgGSU+MgopWEhoYi\nuxo1Op0OkyZNwtGjRwEAgwYNgqenp73CIyIiIiIiIiIHptVqMX78eABAVfigMNwtenwgCkED4Pjx\n4/j3339tECE5O1elA3AWo0ePxpEjR9CjRw9UrVoVJUqUQOHChfHo0SNcuHABK1aswMWLFwEAderU\nwZdffqlwxETOj4muiayHCc4pO+xv8x/2CfkPj/P8ice6uixbtgzBwcFwhYRGKGjx433hilrwwznE\nY+LEiejTpw88PDxsECk5Kw4iWkm5cuWwZs0aLFy4UHYdFxcXvPnmm5g1axZL1BMRERERERGRWZKS\nkjB58mQAQB34oUAuh3MawA9XkIhbt25h3rx5+Oijj6wZJjk5SZ/dNbhkkejoaOzcuROnTp1CWFgY\nIiMj4eHhgeLFi6NBgwZ48cUXUbJkSZvsOyYmBoULFwYA3A8NNRqk5BtM+RV/MSeyHp5LKDvsb/Mf\n9gn5D4/z/EmpYz0mJgalS5cGkPk9m5NwgC+//BKTJ0+GFzR4FaXhnofsdOcQjyOIgQc0CIt+yNeX\nzMZBRCfBQUQiU/ywS2Q9PJdQdtjf5j/sE/IfHuf5EwcR1SEiIgJlipdAOvRohcKoAd88bU8LPVbg\nPhKQgbFjx+K7776zUqTk7FhYhYiIiIiIiIhIpaZPn4506OEPV1SDT5635wIJgY8rO8+eORO3bt3K\n8zYpf+AgYj4gydyI1E6u7Zp7I8qP9Da6kXPIa7/K/tYxsU8ggMd5fmTPY53nFtu5evUqfpk3DwDQ\nBIWgsdKrUxneKAp36ABMmjTJKtsk58dBRCIiIiIiIiIiFZowYQJ0AErAA+XhZbXtSpDQFJmXif/1\n1184ceKE1bZNzouDiEREREREREREKnPw4EGsWbMGANAMhSBZeY5mKXgaBibHjRsHlsygnHAQkYiI\niIiIiIhIRfR6PcaNGwcg89LjYvCwyX6aoBAkAHv37sXmzZttsg9yHhxEJCIiIiIiIiJSkVWrVuHo\n0aPQAIYiKLZQCG6GYi3jx49HRkaGzfZFjo+DiEREREREREREKpGWloYJEyYAAGrCF35ws+n+GsEf\nrpBw8eJFLFmyxKb7IsfGQUQiUhwrshFljxVT6QlWuqQn2C9Qdnj8E2Cbisk8v9jH/PnzERISAndI\naICCNt+fN1xQD34AgE8//RSJiYk23yc5Jg4iEhERERERERGpQFxcHD4e/SEAoD4KwhMudtlvHfjB\nGy4IDw/H7Nmz7bJPcjwcRCQiIiIiIiIiUoEZM2YgBTr4wAW1Hs8OtAc3aNDo8azHzz+bivDwcLvt\nmxwHBxGJiIiIiIiIiBR29+5dfDfjGwBA48d5Cu2pKnxQCG7IgB5Tp061677JMXAQ0QmdOXsWDRs1\nws+//KJ0KEauX7+O5s2b4/PPP1c6FCMRERFo37493n//faVDMZKeno7u3btj4MCBqquQ9dprr6FX\nr15IT09XOhQj7777Ll5o3x5JSUlKh2Jk0uTJaNmqFW7fvq10KEa+/+EHNGrcGMHBwUqHYmTZsmWo\n36ABjh8/rnQoRrZs2YL6DRpg06ZNSodi5MCBA2jQoAGWL1+udChGrl69iiZNmmDu3LlKh2Lk9u3b\naN68OaZNm6Z0KEYePHiA9u3b44MPPlA6FCNarRYv9uyJ1wYMUNW5SKfT4fU33kCPF1+EVqtVOhwj\no0aNQtt27RAWFqZ0KEamT5+OZs2aqe5cNG/ePDRt2hTnz59XOhQjK1asQKNGjbB//36lQzGyefNm\nNGjQABs3blQ6FCOHDh9Gg4YNsXTpUqVDMXLjxg0ENmmC2d9/r3QoRm7fuYNWrVtjwsSJSodiJCoq\nCp06d8bQYcOUDiXfmjx5MrTQIwDueA4F7L5/DSQ0eVwJeuGCBbh06ZLdYyB14yCiEzp39iwuXryI\nzZs3Kx2KkQsXLuDMmTOq+wJ+48YNHDlyRHWv1+3bt7F//35s2bJFVV/cHj58iO3bt2PPnj148OCB\n0uEYpKenY+OmTTh69CguX76sdDhGNm3ahJMnT6oyrgsXLuDs2bNKh2Jk67ZtuHz5Mg4cPKh0KEZ2\n7d6Ny5cvY8/evVbbpjWKIhw5cgSXL1/G9u3brRaXNRw6dAjBwcGq6/OvXLmCM2fOYM2aNUqHYiQs\nLAxHjhzBqlWrDMvUkLj+7t272Lt3L7Zt24bk5GQFIhB79OgRtm7din379qluUGzV6tUICgpCaGio\nVbZnrWIp69atw9mzZ1X3hXDLli04d+4cgoKClA7FyI4dO3Dx4kUcVNm5aN++fbh8+TL25nAusqTw\njjXaV1BQEC5duoSt27bl4tG2ExQUhODgYGzYsEHpUIxcvXIFJ06cUN33j9DQUBw4cADr1q1TOpR8\n6cyZM1i2bBkAoCn8ISlUsqYcvFAKHtAD+PjjjxWJgdRL0uv1LNrmBGJiYlC4cGEAwJ3bt7Fn7168\n0K4dAgICZB+jxBu/du1a1K9fH+XLl1dg7/I2b96MChUqoEaNGkqHYmTPnj3w9fVFo0aNlA7FyOHD\nh5GRkYHWrVtbZXvWOj2ePn0aDx48QJcuXay0ResICQnB+fPn0atXL6VDMfLgwQPsP3AAfXr3hqur\nq9LhGERGRmLvvn3o3KkT/PzslwcmJw8fPsTOXbvQ88UX4e3tbZVtWqMfTk1NxZo1a9C1a1cULGj7\n6n3m0mq1WLt2LRo0aICKFSsqHY5BRkYGtm3bhmrVqqFy5cpKh2Nkx44dKF26tOFcpJZql3v37oWX\ntzeaBAYqHYqRoGPHkPToEdq1a6d0KEauXLmCW7duoXPnzlbZnrU+r4WEhODSpUvo3Lkz3NzcrLTV\nvLt16xaOHz+Ol156CRqNeuY3hIWFYd++fejbty/c3d2VDscgOTkZ69atQ8eOHVGkSBGb7cfS/icj\nIwMrV61Cp44dDd9J1CA1NRVbt25FnTp1VHUuAoD169ejZs2aqj8XKSUmJgalSpcGAERHR6NQoUKK\nxmMPnTp1wo4dO1AOXuiKYorGEolUrEZmTsS9e/eiTZs2isZD6sFBRCeRdRDxfmioWZ0s33hSC7V8\nUSayN/bDlB32jQSwnyBlsP8hpeW3QcSgoCA0bdoUEoCXURKFofyPF7sQietIQocOHbBjxw6lwyGV\nUM/PfURERERERERE+Ux0dDQAwA+uqhhABIAKyLzyJioqSuFISE04iEhERERERERERAackUwi6kmC\nRURERJQP8UM6EamNPS+jZx9I9JQEwEUlB4WG+TRIgDMRiYiIiIiIiIiIKFscRCQiIiIiIiIiIqJs\n8XJmIiIiIiIiIiIVcJHUcT2zBpJ9cxuQQ+BMRCIiIiIiIiIiIsoWZyLmY6LfN/hDAylBrt2p4zc4\nIiIi5cidC/mZjZwFPwcSETkODiISERERERERESlMVdWZAf5iRSZ4OTMRERERERERERFlizMRiYiI\niIiIiIgUJ6mnsIpeHXGQunAmIhEREREREREREWWLMxGJSLXMTcHB38iIiCi/YYE8cnai9szPfERE\nyuIgIhERERERERGRCqimsIpK4iB14eXMRERERERERERElC0OIhIREREREREREVG2eDkzERERERER\nEZHCJEA91ZnVEQapDAcRicjhWZJInudCUhMWRiAia5I7x7FfIWfBz3xERMriICIRERERERERkdIk\nFRVWUToAUiW2CyIiIiIiIiIiIsoWBxGJiIiIiIiIiIgoW7ycmYiIiIiIiIhIYeoqrKKOOEhdOIhI\nRpiQm5wdE3ITEVF+wyJOlB+J2jg/2xER5Q0HEYmIiIiIiIiIVEAtOec46E4iammfRERERERERERE\npFIcRCQiIiIiIiIiIqJs8XJmIiIiIiIiIiKFsbAKqR0HEYmIZLAICymBBRDyH7n3l/0K2ZIl7Yt9\nEDkL9rdERHnDy5mJiIiIiIiIiIgoW5yJSERERERERESkAi4qmRrLGWckwnZBRERERERERERE2eJM\nRCIiIiIiIiIiFVBPYRWlIyA14iAiEZEViBJ187xLRETOQOnzGQu7EBERqQMvZyYiIiIiIiIiIqJs\ncSYiEREREREREZHCJKiosIpK4iB14UxEJ7V161ZERUUpHYaJ3bt3IzIyUukwTBw8eBD37t1TOgwT\nx44dw9WrV5UOw8T58+dx/vx5pcMwcefOHRw5ckTpMEyEh4djz549SodhIjQ0FNu3b1c6DBNRUVHY\nsWMHkpKSlA7FSHp6OjZu3Ij09HSlQzGSkZGBzZs3q+71AoBt27YhPDxc6TBM7NmzBxEREUqHYeLI\nkSO4fPmy0mGYOH78OIKDg5UOw8TZs2dx4sQJpcMwcePGDRw8eFDpMEzcuXsX+/fvh1arVToUI0/O\nRTqdTulQjCQnJ2PTpk2qe72SkpKwadMmpKWlKR2KkYyMDGzdulV1fater8fOnTsRHR2tdChGdDod\nDh48iFu3bikdionDKj0XEZE6cBDRCf3555/o07cvRowYoXQoRjZv3owePXqgZ8+eSodi5NixY+jc\nuTPatm2rdChGbty4gY4dO6J58+bIyMhQOhyD+Ph4tG7dGoGBgaobEG7evDk6dOigui+73bp3R7fu\n3bFr1y6lQzEybPhw9OrdG3/99ZfSoRj56H//Q89evbDo11+VDsXIpMmT0e+VVzDl00+VDsXInDlz\n8PLLL+P9999XOhQjy5cvR58+fVR3LtqxYwe6d++O7t27Kx2KkeDgYLRv3x7dunVT1UD1nbt30bFT\nJ3To2BFxcXFKh2MQGxuLzl26oN0LL+Cuyn4E7NipEzp36YKTJ08qHYqRl19+GZ27dFHdj1rvvfce\nevXujeXLlysdipFRo0ahX79+mD17ttKhGJkxYwb69euHiRMnKh2KkV9++QV9+/bFuHHjlA7FyH//\n/YeePXvi1VdfVToUI4cPH0bHTp3Qs1cvpUMxcv78eXTs2BFdunRBamqq0uEQkQrxcmYnVLVaNZQr\nVw5NmjaFHtZJhi3ahqVJritWrIhKlSqpbrCuTJkyqFmzJmrUqKF0KEZKlSqFOnXqoFChQqr6dd7X\n1xdNmzZFSkoKPDw8lA7HSKtWrXDjxg0UK1ZM6VAAPD1GWrZsCZ1Oh/IVKsgeN0pcLdC8WTPcvn0b\ntWvXVmDv8po3a4ZDhw6hYcOGSodipFGjRihZsiQaNWpk933LtQ89gDp16qBUqVJo1qyZPUPKUc2a\nNVGxYkU0btxY6VCMlCtXDlWqVEGbNm2UDsVI6dKlUbNmTdSqVQtubm5Kh2NQskQJ1K1bF76+vvD1\n9VU6HAN/f380CQxEdEwMAooUUTocA71ej+bNm+Py5cuoUKGC0uEYadu2LRITE1UXV4sWLXD12jXU\nq1dPdh1bnSOz+yzbtGlT7N69G3Xq1LHR3nOnQYMGKFmyJAIDA5UOxUj9+vVRvnx5NG3aVOlQjDz3\n3HMoX748WrVqle169i6QV7ZsWVSpUgUvtGtnw71YrkKFCqhZsyYqV66sus/5+YlqqjMrXlaL1EjS\n6/UseOYEYmJiULhwYQCZl4UUKlTIcJ8SH7yIyDI8RVNusB92buwXiGyLfShlh32wsmJiYlCqdGkA\nQHR0tNH3W2e0ZcsWdOvWDUUlN0zyqah0OACAM+kJ+D0lDPXr18epU6eUDodUgjMRiYiIiIiIiIgU\nJkksrELqxpyIRERERERERERElC0OIhIREREREREREVG2eDkz5Vp2if6JyDJqKrhCRESUH1hyjuXn\n2/yHn81IKaoprKKSOEhdOBORiIiIiIiIiIiIssWZiERERERERERECpOgosIqSgdAqsR2QURERERE\nRERERNniICIRERERERERERFli5czk9NRw+xvJt8maxG1JTW0cSIiovyERViIyF5UczmzSuIgdeFM\nRCIiIiIiIiIiIsoWBxGJiIiIiIiIiIgoW7ycmYiIiIiIiIhIYRIkuEjquI6YlzOTCGciEhERERER\nERERUbY4E5Gsjj9Y2O41YKJuAuTbAY+9/Ef0nrOfICJSFvtm58aid2RrqimsonQApEpsF0RERERE\nRERERJQtDiISERERERERERFRtng5MxERERERERGRwiQJKiqsoo44SF04E5GIiIiIiIiIiIiyxZmI\nRA6EibopO0z0TUSkHDWcj9nnq5fce6OGdkNERGQuDiISEREREREREamAaqozqyQOUhdezkxERERE\nRERERETZ4kxEIiIiIiIiIiIVUE1hFSbJIAHORCQiIiIiIiIiIqJscSZiPiCXsJm/KzgHS95HJu/O\nf3j8ExHljSOdO9nnExERkS1xEJGIiIiIiIiISGESWFiF1I2XMxMREREREREREVG2OBORiIiIiIiI\niEgFVFNYRR1hkMpwJiIRERERERERERFlizMRifIR0Y9JjpQwnqxH9L7zx0Yiyi/y27mPfb568bOZ\nc2BRIyLKLziISERERERERESkMAmARi2XM3MYnAQ4iEhERERERERERHYTFhaGY8eO4dixYwgKCsLt\n27eh1+vRpEkT/Pnnnzk+/t1338WOHTtyXK9+/fr477//rBEygYOIRERERERERERkJ++//z7mzZsn\nvK9MmTJmbSMsLAwhISE5rhcQEGBRbJQ9DiISERERERERESlNAiQXlVxGbMPyzImJiShRogQaN26M\nJk2aIDAwEAMHDsSDBw8s3lbDhg3xzz//yN7v6emZl1DpGRxEJCIiIiIiIiIiu/jpp5/g4+NjtMzV\nNXfDU56enqhSpYo1wiIzcBCRKJ+T+32JlQGJiMjR8VxGRESORqOSmYgaje22/ewAIjkOGzYLIiIi\nIiIiIiIicgYcRHRCly9fRpcuXfDXX38pHYqR8PBwvNizJ+b+9JPSoRhJSEhAv379MG3aNKVDMaLT\n6TDwzTcx5sMPlQ7FiF6vx8iRIzFkyBDo9eqa4zF58mT0798fMTExSodiZPbs2ejZsydiY2OVDsXI\n77//jh49euDatWtKh2Jkw4YN6NylC06ePKl0KEZ27dqF9h064MCBA0qHYuTkyZPo0rUrNm7cqHQo\nRu7du4euXbti6dKlSodi5N69e+jZsyd++OEHpUMxEhcXh379+uGzzz5TOhQjOp0Ob739Nt5//31o\ntVqlwzEyZswYvDloEHQ6ndKhGJk6dSr69euHhw8fKh2KkTlz5qBnz56IiopSOhQjy5YtQ+cuXXD7\n9m2lQzGyfv16dOrcGcHBwUqHYuTQoUPo0KEDdu7cqXQoRi5fvozOnTtj9erVSodiJCQkBC+++CIW\nL16sdChG7t+/j969e+O7775TOhQjycnJ6P/qq5g0ebLSoRCRSnEQ0QkdPnwY+/fvV90g4sFDh7Bz\n504sWbJE6VCMnD17Fhs3bcLi335T1ReR69evY9WqVVi2bBni4+OVDscgJiYGy5cvx4oVK3Dnzh2l\nwzEyf/58bNiwAbdu3VI6FCOLFi3Czp07cfjwYaVDMbJ8+XLs3r1bdYNif/71F/bv34/t27crHYqR\ndevW4fDhw1i3fr3SoRjZsmUL9u3bh7/+/lvpUIxs3boV+/btw7Jly5QOxcjZs2exc+dO/Pbbb0qH\nYuT69evYtGkTFixYoKpz0e3bt7FixQosXbYMycnJSodjEBsbi9+XLsXKlStx48YNpcMxsmDBAmza\ntEl1cS1evBg7d+5UXZ+/7I8/VNnnr/j3Xxw4cABr1qxROhQj69evx+HDh7F27VqlQzGyfv16HDhw\nAH+r7Fx04MAB7Nq1C8uXL1c6FCPBwcHYtn07lvz+u9KhGLl69SrWr1+PhQsXIi0tTelw8idJguSi\nUcXNptczW9Ht27fxyiuvoH79+qhVqxbatWuHcePG4dixY0qH5pSYE9EJvfHGG/D29kbnzp2VDsXI\nS337IjYmBvXr11c6FCMtW7bEooULUaFiRWhU1FE+//zzWLZsGQr6+cHPz0/pcAwKFy6MFStWICUl\nBeXLl1c6HCMbN27ErVu3UK9ePaVDMbJ06VJcuHABXbp0UToUIz/++CMOHjyIQYMGKR2KkS+/+AKt\nWrXC4LffVjoUI9OnT8fzVavi5ZdeUjoUIx9++CEKFS6MLirr8wcMGAAAaN68ucKRGOvUqRPmzZuH\nxo0bKx2KkXr16mHJkiUoU6aMqs5FFStWxF9//YUC3t6qyl/k7++Pf/7+G0nJyapLpr5u3Tpcv34d\njRo1UjoUI7/++ivOnTuHXr16KR2KkZ/nzcP+/fvxyiuvKB2Kka+++gptWrdGnz59lA7FyIcffohy\n5coZ+li1GDZsGPz9/dGhQwelQzEycOBApKSkoGXLlkqHYqRjx4745eefVfeZtW7duliyZAlKligB\nd3d3pcMhldBqtTle6VWoUCE7RWPq3r17+O+//4yW7d27FzNnzkSfPn2wePFiReNzNpJebdcjUq7E\nxMSgcOHCAIDQ0FCzDhJ1pGslR8LOIv9xuH5Cb8cZXJJ6Bnqy4nHqeBzuOHMgPB4sw7aobo7UnnU2\nClbjYI3UwcJVlZiYGJQqXRoAEB0d7fSDQFu2bEG3bt1Q2s0Dv5atrnQ4AIADibH4KuKWWetaY1ip\nTJkyCA0NRZs2bbB3794c1+/fvz/S09PRqVMnVKpUCaVLl8ajR49w7NgxzJs3D5cvXwYANG7cGPv2\n7YOXl1eeYyTORCQiIiIiIiIiUgVJJdWZVfp7ucEff/whnDEbGBiIYcOGYdCgQVixYgWOHz+OmTNn\nYsqUKQpE6XxU3iyIiIiIiIiIiEgJderUQXR0dLY3JWR3yb2HhweWLFmCUqVKAcjMV0zWwZmIRERE\nREREREQKkyRAo5qZiJlxuLi4OOTl5F5eXujTpw/mzZuH0NBQ3L17F2XLllU6LIfHmYhERERERERE\nRORUypUrZ/g7MjJSwUicB2ci5mOi1Kfq+M2D1MqS9uFIyb/JQdmziIol+1d7AhmVYfJ9shaedwiA\nZecG9tcWsVV/basYeB4goqxVpX19fRWMxHlwENHKYmJiEBQUhNDQUISFhUGv16NEiRJo2rQpateu\nrXR4RERERERERKRSkkYdP3BITjASv337dgCAj48Pypcvr3A0zoGDiFayZMkSzJkzB+fOnYNOJ/4F\ntFGjRpg3bx4CAwPtHB0RERERERERUf4wf/58nDp1CgDQp0+fbAuxkPk4iGgl+/btw5kzZwAAAQEB\naN++PapUqQJJknDs2DHs2LEDJ06cQMuWLbF27Vp069ZN2YCJiIiIiIiISEUk1RVWUaOFCxfi6tWr\n6NmzJ+rVqwc/Pz/DfTdu3MAPP/yAn376CQBQuHBhfP7550qF6nQ4iGhFdevWxSeffIK+ffvC1dX4\npd23bx969OiBxMREDBo0CNeuXYO/v78ygRIRERERERERKSAoKAivv/660bLw8HDDfVWqVDG67+jR\nowgICDD8/86dO5g1axZmzZoFILMSc9GiRZGYmIjo6GjDemXLlsWqVat4KbMVcRDRSj766CPUqlUL\nGpn8BW3atMHXX3+NDz74AA8fPsSqVaswZMgQO0dJZD9yv1upICd3ntkzsbjSPwDKPVW7hqV0ARVL\nieK1Y/J+NRx7ak2+r/TxBLCAGambKvp8EVudB6yxXRZnUS21ngeICEhOTkZISIjwvpSUFJP7MjIy\njP7/zjvvoFixYti6dSuOHTuGqKgo3LlzBwDg5uaGevXq4ZVXXsHw4cONZilS3nEQ0Urq1KmT4zq9\nevXCBx98AACGS5+JiIiIiIiIiCABUj64nLlJkya4du2a2esXLVrU6P9lypTBqFGjMGrUKABAamoq\nIiIi4O7ujsKFC8PNzc2q8dJTHES0o6yXOKempioYCRERERERERGR/Xl5eZlcspwXHh4eKFu2rNW2\nR/I4/96Ojhw5Yvi7UqVKCkZCRERERERERERkPs5EtBO9Xo/vvvsOACBJEnr37m3xNmJiYmTvi42N\nzWVkRERERERERKQ0CYDkoo65XmquzkzK4SCincyePRtHjx4FAAwcOBDVqlWzeBuFCxe2dlhElA21\nFoeQw/O8iskl73eChPxqOE7MxST7zsGBmhzlBotpyRJ1V7Y6Hhypb7eE3PNyinOBJceOE3z+ICJl\ncBDRDnbt2oWPP/4YAFC+fHn8+OOPCkdERERERERERKoiAZp8UFiFHBcHEW3szJkzeOmll6DVauHn\n54c1a9bA398/V9uKjo6WvS82NpZ5FomIiIiIiIiIyCY4iGhDV69eRefOnREXFwcvLy9s2LAB9evX\nz/X2ChUqZMXoiIiIiIiIiIiIzMNBRBu5desWOnTogIiICLi7u2P16tVo3bq10mERERERERERkUqp\n5TJiSR1hkMpwENEG7t+/j/bt2+Pu3btwdXXFihUr0KVLF6XDMoslOZTZp1Bu2DMpuCWcIYG4UxSN\ncLSE+nllx4T8RACsc4yxjarinOFw/buIs/b5Dta3q6E9kwWc9bghIoeg3rOZg4qMjET79u1x48YN\nuLi4YPny5ejdu7fSYREREREREREREeUaZyJaUUxMDDp27IjLly9DkiT89ttv6N+/v9JhERERERER\nEZHqSdC4qGOul6RRRxykLmwVVpKYmIiuXbvi7NmzkCQJCxYswJtvvql0WERERERERERERHnGmYhW\nMmLECAQFBQEAnnvuOYSEhGDChAmy6z/33HMYMmSIvcIjIiIiIiIiIjWTAMlFHUlvVZzKlRTEQUQr\nCQ0NNfx99epVfPPNN9mu3759e4cfRGQRFrIWufbBPN95J5csPa8J+UWb5XHu3Jw18b6tjhG7Hg/2\nTrJvyf4c6BuIo7VxS+J1iiIsjk7uuHGgY8Qa8nqY2aopq7Y4na36dwcr/kNE6sFBRCsZPny4RRWY\nK1SoYLtgiIiIiIiIiIiIrIiDiFYyYMAApUMgIiIiIiIiIgclQT2XM6tjOi6pDecsExERERERERER\nUbY4E5GIiIiIiIiISGkSoHFRx1wvDWcikgAHEckuWISFckPUFvKakNueifNttStrHCOqTSCeV/Yu\nMCGS18TkKkh27mgFJvIVNbRxS6igPYvktzaueJ9vz+IQ9uYEfX5e2fNw4ncKIiJlOdYZioiIiIiI\niIiIiOyOMxGJiIiIiIiIiFSAhVVIzTgTkYiIiIiIiIiIiLLFQUQiIiIiIiIiIiLKFi9nJtXJa3Jm\nTrq2IUsSmDtYUvC8coak4nZNvG+NZPhqSKgv4gRJ8vNKDTUrnOJcoNY2TvmujYuer12PMTUfCw7U\n5+e1oJAa2r0lFG+3llJzOyf7kSTVVEXWSOqIg9RFnWc4yhO9Xo+TJ08iJiZG6VBMnD59Go8ePVI6\nDBPnz59HWFiY0mGYuHLlCiIiIpQOw8SNGzdw+84dpcMw8fDhQ1y+fFnpMExEPHiASxcvKh2Giejo\naJw7exY6nbo+tCYkJOD4iRPQ69X1dUWv1+PI0SBVxhV07BjS09OVDsXEyZMnkJCQoHQYJi5cuIAH\nDx4oHYaJkJAQhIaGKh2GiZCQENy8eVPpMEzcunUL169fVzoMEw/Cw3Ht2jWlwzCRmJiIc2fPKh2G\nicTERJw4eVLpMExotVocDQpSOgwTycnJOHHiBFJSUpQOxcTx48dU1+frdDoEnzuH6OhopUMxERwc\njPj4eKXDMHH58mVERUUpHQYRqRQHEZ3Q6tWr0apVK7z33ntKh2Jk586daNmyJbp37650KEbOnDmD\nps2aoXOXLqoaTLl9+zaaNW+OmrVqqSqumJgYtGrTFrXr1EVsbKzS4RgJDAxEYGAgLl26pHQoRvr2\n6Y3Axo1w9OhRpUMxMmTw22jevBk2bFivdChGxo3/GK3btMUv8+crHYqRT6dOwwsdOmLqtM+VDsXI\nvJ9/Rtu2bTFq1CilQzGyauVKtG3dGkOHDFY6FCMHDx5Ek8DGePmlvkqHYuTq1auoVbs22r3wgqr6\n/AcPHqBRYBO0bttWVX1+fHw82rRpg8DAQNy/f1/pcIy0a9sGDerVxcULF5QOxUiP7t3QvHkz7Nmz\nR+lQjAweOhStWrfBPyv+VToUI6PHfIR27Tvix7k/KR2KkVmzZqFV69b4/IsvlA7FyKKFC/BC27YY\nP26s0qEY2bRpI5o3a4rBb72ldChGDh0+jCZNm6JDx45Kh2LkypUraBwYiAYNGyodSr4muWhUcWNh\nFRLh5cxOqFy5cvDx8UHlypWVDsVIQEAAAgICUK1aNaVDMVKqVCkUKVIEFStUgKSiKduFCxdGyZIl\nERAQgPT0dHh4eCgdEgDA398fZcuUQUpqiupmZFWrVg03b96Er6+v0qEYqVatOu7euwd/f3+lQzFS\ntWo1HDlyBKVKlVI6FCMVK1aAj48PKlasqHQoRipVrPi4b62kdChGyj/u86s895zSoRgpVbo0/P39\nUbGCut7HgIAAFCpUCNWr11A6FCMenp4oXbo0qlerBo1GPb/xent7o1SpUvDz9YWfn5/S4Rj4+Pig\nbNmyiImJUVVcAFC9Rg3o9Xp4FyigdChGqlWrhtu376BI4cJKh2KkUsVK8Pf3R5kypZUOxUiV56rA\n19cX5cqWVToUIxUrVoS3tzcqV1LZuah85rm7QoUKSodipGTJkvD19UXVqlWVDsVI4UKFULxYMdV9\nL/L19UWZMmVQVmXtnojUQ9KrbRSAciUmJgaFH38oDA0NRaFChRSOSCwtLQ3u7u423Yd6hgGtIyMj\nA66uKhnvz5KrRavVwsXFRX5dG+UDyqnDyqmN5TUfkJycNpvj62UjOR0Per0+28FzS36AtOjYc9Cc\niLnuw/J6POTw+PT0dLi5uWW7jiVN31p5s558xFDiB5rs9phTuwfy/uN7bh5u0t87a36sPB4P1ujG\nbZ0bzpxjMq9y08ay9mF2bePZtGW9Xg+9Xp/94LlCx4Ja+/yslOjbHY1OpzO0L0varTUmYWW3CZP2\npXSf/7jdpaenw9XVVfHJFTExMShVOvPHhejoaNV+v7WWLVu2oFu3bihXwBur2zVXOhwAwM77DzDh\nVDDq16+PU6dOKR0OqYRKRiYov7D1ACJgnQ84ahqItPkAYi4/sOQ4IGajIiyi9ybre67WNqbEACIg\nH+uT11HpD4hmsdWH6ly00Vy3L7l9WWmwPetghb2/5GW3PyXbV3YJ9c2JS4lCQ64umty1d6W/eAKW\ntWU7FqKwxg9HudmErQcQgdwVjcjah9m1jWdDkiTjYzKv7dmKx4O7m+vT7am0jdtKXg8dW/1om5s2\nmtvZ3XLPwVrHidU/U1gim/Zoj/6L5EkANC7q+HyuljhIXRzrbEZERERERERERER2x0FEIiIiIiIi\nIiIiyhYvZyYiIiIiIiIiUpoESGq5jJhTzkiAzYKIiIiIiIiIiIiyxZmITkiCcWJtR62kpqS8vmYq\n+e3I+myVyNnGRSdyS61JxeVYkujb3IT8tk4qbnVqKMIiIteWzU2+b6NjxJI2qtbjwRbtXtXUUERF\nRKX9uCXU2sbliNp+TsW0VMfc9qyGdp/XgnGWHCMOdjzZs+1bsi97HiPWqlaep3XzysHanTOTXNTx\nmku5LEpEzo2tgoiIiIiIiIiIiLLFQUQiIiIiIiIiIiLKFi9nJiIiIiIiIiJSmiRBo5LCKrySnUTY\nLIiIiIiIiIiIiChbnIlIZAP2zK2e59+pLCn4kNek4nLbyOO6cq+Brd4HeyfPN1dek42rgh2TjUt5\nfLzekp9nHSxZuSMVmHDq4j+OVHRCpcWD5FjSRG3RnvV68UYlyfyGK4pLrt3btZhWXtujwn27pYTn\nAht81rElc5u4RcW4ZNp4XtnqGFEFpft8lX4myW8kAJJKGqolxxvlH+wpiIiIiIiIiIiIKFscRCQi\nIiIiIiIiIqJs8XJmIiIiIiIiIiKlSYDGRR1zvdRyWTWpizpaJxEREREREREREakWZyISOThb1S8Q\nJSa3JFm5VeLKa7JyC+Q1XlslEM8ruYTI5iYbV8Xvjxa0O3sm1LfoeMhrERYVJDvPa3EJeyfZN7eN\ny0VlSdvP83Fio4JCtjoezC4kAdi1H88rNRSNyOt2dTKt0dy2b7M+Xw3FUnR53IZG3EZFseX5GLGC\nvPbZajge8rovS4pC2Ox4ULjQEBGRtXEQkYiIiIiIiIhIBSQXVfyMz8uZSUj5n32JiIiIiIiIiIhI\n1TgTkYiIiIiIiIhIaRIgqaawijriIHVhqyAiIiIiIiIiIqJscSYiUT4nlzjbRbRQmyFeWZAU3KI6\nEuavatfk+3KvjblJve2dClv0ysjFakmy8TwTJQW3QqJwsxPt5zWZvqUEv9rKxSp8d+yYZN8aqfDt\neTxY0sbFMZi2e1Wn+8ljgSshS44HCwpJyGEbtx1LjgfVtv28tnFL2rMl2xW1UQv2JayrooLiQXIt\nWXjsWNS3Ks/c48GS4kM2I9cWzWyj1ig0ZM++mYicCwcRiYiIiIiIiIgUJ6nnMmJ7Tjogh6GS1klE\nRERERERERERqxUFEIiIiIiIiIiIiyhYvZyYiIiIiIiIiUpgEQKOS6swaVSTPJbXhICJRPiJXKEQo\nr8Uw8pi/HFBHEnJziZ6uBTnJrRODBed5jZnJxuU+O4jakos1PmdYkmTf3CT3VkhAbhHR7iwoUKGG\nQkOWJNnP66tryXFiURs3d5sy+8/z52ZLEufLrGuT4kE26sdt1saFG817u7dFG3fmPl9xcm3ckvac\n13UtaXcWPFwNfb655F5Be7d9EdHxYFExLpXmfhOeB6xRME40SCV3jDjQ53Eisj0OIhIRERERERER\nKU0CJJXMRJT7gZDyN7YKIiIiIiIiIiIiyhYHEYmIiIiIiIiIiChbvJyZiIiIiIiIiEhxkmouZ5ZU\nmyiXlMRBxHxA7tBXQQ5kcjCSTDJqvSjVtkXJmeWyjZuZONqChM9y7T6vSfZFq+rsnGlcI3u0mxIm\nIBfFa0Gicblnm+ePH3lNqG/vwioiciGoNNeMqO3nNaG+NY4HW7RxyYI2LleEJa9FhWxWPCivbd+S\nftySXeXxy5GtvtJY0sbz2p6t0V/m9XhwsWBfeS6mZUnxIFG7t6CNy31WySvhZx1LyD3ckuMhjwVf\n5Powc/t8uZfWkuPBkncnr8eDucVWAPFrY5Xxk7wW07LkeLCAsOiVbPWfPBYaIiKnwkFEIiIiIiIi\nIiKlSYCkkh+ZORORRNTROomIiIiIiIiIiEi1OIhIRERERERERERE2eLlzERERERERJRner3eolyz\nRGRKcrEka60NqeSyalIXtgoistjps+eUDsFhREQ8wML5P+Orz6cpHYrQtatXkZKSonQYDuPipctK\nh+Aw4uPisHrlf7hyRX2vWXx8PGJjYpQOw6HExMYqHYJDuBESgqmTJ2Hq5ElKhyJ05fJlpKWlKR2G\nw9h/6LDSITiEpKQkbN64ASPfGY5LFy8oHY6JvXt2I+joUaXDICJyChxEdEK3bt3CwDffxObNm5UO\nxUhcXBwGDRqEZcuWKR2KkdjYWIwYMQI//fST0qEY0el0GDNmDKZPn261bWok82+SXmdyw+PbwiXL\ncPhokOH/kk5retPrhTdk2Y7hphPfhDFkY/b33+Pdd99FRkaGxa+NXq83uekA4U2vN73p9HqTmx6A\nTqfH1198jg3r1kKPzKqEWn3ebk+28+xNq9eb3ERx6fR66PWAVqvDy316YcTQIUhPF79mOr34lmei\ndvD4Pd6+bRtC7901aXfm3Cxpi8J1s7lBm4EPx08EtBmWt3G5W17bvV6H88Hn8NqA13DwwP5sKzaK\n2ozc+2tuu5dr+zq9HsuW/o5hg9/Cvbv3DMdDXm+WtnGTWB8/l9WrV6Nh/Xq4HhIiPPblKrNbhagd\nAMjIyMCRoKCc19VlmN5kjyeZtm/h7cqVq/ht6fJsjx1hXDKxZXd+Eb02Irdv38bRoCDocqhgLdfG\nxe+7Zf27afsE0rVaLJz/Mw4c2J9tPy4Xl2XnA8uOh9TUNLzUuyfeGTYU6ekZ4vOerfp82TdIh0W/\nLsatm7ee9oOW9Pl57YOzuaWlpmD0+E+g12nlzy8y5wLLnoP5fb5er0dsbGyO7R4Q96Gyb4PgZkl/\n7+7hgZ9/moN///4LKSmp2X7WkT3vmHk8yJ0fsjsPLF2yBC/36YVzZ8/KfrazJ0mvQ3xsLG7dvGn8\nvos+D1upPZv12VuvQ2JCPD4YNRrffvtdjv0wkTVdv34du3btws6dO3Hy5MlcbePBgwc4duwYjh07\nhoiICCtHSE9wENEJ7di5EytXrsSPc+YoHYqRHTt24L///sOsWbOUDsXIxYsX8ccff2DGjBlKh2Lk\n2rVrWLhwIWbOnIlHjx4pHY6R9PQ0vPvhOKSmpiodikFaWhq+/vpr/L50KU6eOqV0OAbFS5TAxMlT\n4OnppXQoJg4fOggPD0+MHf8xXF3Vk92iSuXKqB/YDKM+HIvExESlwzE4deYc9h06gqvXQ5QOxcjq\nNWuwdu06/PTzz0qHYmTI8BGoULES/P39lQ7FxH8r/sF777+P8hUqKB2KgaurK1avWYdeL72C0Pv3\nlQ7HQK/X44OxHyMhIUHpUIwcDQpCly5d8O677+LBgwdKh2NQ5bnn8e4Ho+Htpb4+f92a1ShYsCDe\nHfmBqvr86tWqoU7jpvho/ERERUcrHY7B+s1bcfHyFdy5F6p0KAaSJKHtCy+gTr362Lt3r9LhGLi4\nuGDuLwvhXaAA0jPSlQ7HxOlTJ/HFVzNQu05dpUMx8PPzxWfTv0D7Lt0RERmpdDgGV69dx6+/LcGM\n72YqHUo+JkFy0ajjZsPLmY8fP47PPvsMXbt2RUBAAJ577jl06NABHTt2xP/+9z+LtnXgwAG0aNEC\nJUqUQJMmTdCkSROUKFECLVu2xOHDnFFuber5BEFW88brryM1JQVdunRROhQjXbp0wRdffIHAwECl\nQzHSqFEjzJgxA9WqVVM6FCNVq1bFjz/+CH9/fxQoUEDpcIxotVpcvnoN3/7wE6Z8bFknbyvu7u5Y\n/OuvuH3nDpqorI29PXQ4rl+7pnQYJjIyMrBr3wH4+PgoHYqRypUr4Z3hw6DX6TJj01o+s9QWlv69\nAgBw9PhJVH2uisLRPDV61Cjo9Xr07dNX6VCMeHh4YNoXX8LPv6DSoRhJSEjAp9Omo7HK+gkAGD/2\nI0z6dCpKliihdCgGG7dux9HjJ9Gwfj2lQzHSoX17hN2/Dy8VDtaN/t84TJ00QekwTBQs6I/d+w/B\n3d1d6VCMtGzeDJ07tEdYeDgKqehHh0VLlwMATp05i/JlyygczVMLFyxA3Tp14OHhoXQoRipUrIjP\nv5qBjHR1DSJGRT3E/8Z9jDfeHKR0KEYkScJPP8zCrB/mokjhwkqHY1C/Xl3M/HYGypUtq3Qo5OTm\nzZuHpUuXGv5fqVIlhIaGWjxJZenSpRg8eDB0Oh3c3NxQp04d6PV6nDt3DocOHUKrVq2wbNkyvP76\n69Z+CvmWpLfpNTtkLzExMSj8+AR0PzQUhQoVyvExfOMpO5oM0zx5UloyAODHXxbi5u07GPXOMFSq\nUF68AUn8y5VelGxbI/N7huDXL71oXZnHi9q4VqbhawXXa8ldwCHqNXWChVmXxMfFwa9gwcfrymzY\nTBoL8pXLraoRvA8ugpXlkqOL1pWLS3hplk48MPhk3aSkJHh5eWXuX24QUbBdyZJTmoWX6OzZfxAH\nDh9F6xbN0LZVC8vauMy6wuXmtnuZx+tl9iVq+3JtUStqzzLritr+08foodVq4erqarNzjiVtXNj9\nyDzeRdCg5fYlOh5k25eg7Wc9RoyKEojavgXt1qLjIRtBx0/C29sLtWvWkF1H2O4BcRt3MW3Pcu1W\n2L9b0Mbl+nzRx1+5dXPq35+u9/TvqKiHKFIkQLxBKxH1ufbs84XtHhC3Ubk+/3Ebv3svFGVKl8rc\nv+jxMu1e2MatcPllcnIy5v+2FOfOX8CLXTujb88e8isL+2ELzgOi40Glfb5cf/9kqV6vR1xsLPwL\nFbLZZfCynzWE60omhV7kuioXwR1y+xIeO+JVxX2+zPEA0WXqFhwPFhG0Mb2gLcqtK9uerSgmJgal\nSpcGAERHR5v1/daRbdmyBd26dUOlwn7YM1wdPwxvunwL763di/r16+OUla/0mjdvHiIjIxEYGIjA\nwEAEBASgTJkyCA0NRZs2bcyabR0cHIyGDRsiPT0djRo1wqpVq1CuXDkAmSne+vbti9OnT8Pd3R2n\nT59GjRryn2PIfJyJSEQWG/3ucKVDcDhPBhDJPN7e3kqHYKJd65Zo17ql0mE4FEmSVHXZpCNQY1XT\nJo0bKh2Cw7H1AKKzKVumtNIhGPHy8sKHI99ROgyHI0kS/FU20KPGPpWIgJEjR+Z5G5988gnS09Ph\n6+uLtWvXonTpp+eSChUqYO3atahRowYePXqEyZMnY/Xq1XneJ3EQkYjkiH4Nlfvl1IJfIyXBvB+9\n7C+qgu1a8otsHn8llZvEI/rFXvSLuyWTgLKbzWWyXZkPxMJZVjKfnUX7E33Q1sjNOrDVh3Jzf4WH\nBTNQbJUUXC4uUbuTZF5HYRM1s90DVmjjMnHlYgaK8brmbdNSljQ7vSAyF8FcEZ3sDFrTZbIzr4QB\nyLVbUd8q8/6aO9tWrn3Yqu0L2p2obwcAvWhOt+D5yjVl4fnBCjNgRK+Mrdq4Jf27iGgWISB+Dnnt\n810sCUyOsN1a0EZFj9dp8/R4q8jrZx256xtEx7+kzj5ffmav+TFYcjyI2r5cDOLDxHRljcycQdE5\nw7KTjhX64bweDyJyV02wYAo5uIiICEMh2YEDBxoNID5Rrlw5DBgwAIsWLcKGDRsQFRWFIkWK2DtU\np8PCKkREREREREREKqB4QRVDYRX1zuTdsmWLoVJ9jx7yKSe6d+8OIDMX/LZt2+wSm7PjICIRERER\nERERETmEc+fOGf5u2FA+7Urjxo2Fj6Hc4yAiERERERERERE5hOvXrwPIzGFbrFgx2fVKliwJNzc3\nAMC1a9fsEpuzY05EIiIiIiIiIiKlSRIkF3XM9ZI0mXFotVrExMRku669q2fHxsYCAPz9/bNdT5Ik\nFCxYEA8fPkRcXJztA8sHOIhIRGLCRM7iwip6YSEJmZOfRtDt6OUywQuSPltwUhUlvhctAyxLsi/a\nhlawUC51uFwM5hIm/4a4EIRcARTRyyh8utZIhZLHJPvCQhKAuNBPHpPsy8UlbONyRG1cjqjt57Hd\nyxEeD7Lrmt+etaK6GRY83hKiNm5J0QnJnkn2LWFJ8SBz2312y/PKgj5fEhwPetFz0LjnNSohSwpJ\n2KqNO1KfL7cvmxXTMrdohFxbFrQl2fNLHsmeB8w8HkTHAiAucCF7LpIPz0Re+3xRARNLCs5ZEpcc\nufYoIiqcJS4/InM8Cdq4TE00y4psiVhSTMuS48GSQlTC55v3dkfO6dy5cyhcuHC268idb23l0aNH\nAABPT88c1/Xy8gIAJCYm2jSm/IKDiEREREREREREKvBkBqDibPUDkhU8uUQ5I0M8ySWr9PR0AIC7\nu21+sMxvOIhIREREREREREQm6tSpg7179yodhhEfHx8AQFJSUo7rPlnnyWMobziISERERERERERE\nJlxcXOye8zAnpUuXBgBER0cjJSVF9rLmxMRExMfHAwBKlSplt/icGQcRiYiIiIiIiIhUQD2FVdR7\nOXP16tUBZOZivHr1KurUqSNc78qVK4a/a9SoYZfYnB0HEYlITJRcWSvOOSHM2yGTyNmS2h2iJOai\npM+WpPG1JMm+KKk4IC6iYkkCcl0eU1TLxSUqEOGikQtC8KoL1hUlGgcAF9nozGRBUnFhIQmZ5cKk\n4LIJ+S0ouCJaKJevRtRGZRLqi7ZrbrsHxG3foqT1MuuKFouKSwDihPqiGGyVb1uujQsT4gs/DIsf\n7yJo+xY9BQvanTBxPiBu+5YUkhAeTxYUnZBr44I2aknxIWGxFZnzi2xRAAHLik6Y124B89u4JcUl\n5FYVdbkO1+db0O6ExYMsOA8IC75Zcn6RI+qH5dZ1EbRnSwrOyRWXE65rQeEM0cMt6vPzWGDLCuU4\nRG1frhiWsD2LHi9TFcVWxeWE/bNsexacC0R9vtznIgG5vlkS9eNyx44mb+2OyBZat25t+Hv//v2y\ng4j79+83/N2qVSubx5Uf8OgnIiIiIiIiIlKaJEFy0ajjppYCLwJNmzY1XNK8ZMkS4Tp6vR6///47\nAKBcuXJo3LixvcJzauptFURERERERERERFlIkoSPP/4YAHDq1CnMmTPHZJ3Zs2fj3LlzAICJEyfa\nNT5nxsuZiYiIiIiIiIjILmJiYnDy5EmjZampqYb7du7caXRf69at4e7ubrTsnXfewcqVK7F//36M\nHj0ap06dQo8ePQAA69atw/LlywEAL7zwAoYOHWqrp5LvcBCRiIiIiIiIiEhhEgBNPiiscvbsWXTs\n2FF437lz50zuCwsLQ4kSJYyWubm5Ye3atRg0aBA2bNiApUuXYunSpUbr9OrVC0uXLoWrK4e+rIWv\nJBEJiZI7S9p08co6QXJmjTgNu/llDWSSPgsSmFtCLq26KCG+KKl45rrmPl68L7niLnkl/LwhSqYP\nyCQgFxSSkMvRL1guk6tcnAheJsG9uUnFM9cVLBcUZxAm7s8mBvHOBG1R7vEWJOQXFlERvAayRSss\nqHYganei4hKAuO3KFY0wd11LCr7IEX2WlcsDLyqMIgpCLsm+aLN5LigEWHQ8mJ1QX67olblFK+QI\n+nYA0AteW0mmbzb7bZcp6JHXYlpyz9bcQhKZywXLLGjjwmNPJi5LvjYq3edbVHTCouI/gnafkSZ8\nuPCcYcm+5FhQGEV0LhAdD9YpcGG6yKJ2Z1E/Llpm/uPt+lkH4nOB6DwgqhECAJLgGJF/CoLGb0kx\nLdkDLW99vigGUfsCZNqj3k28XSIbKFSoENq3b2/2+h4eHrLbWb9+Pfbv34+1a9fi5s2bAICKFSui\nT58+LKZiAxxEJCIiIiIiIiIiu6hbt67JJct50bp1a6OKzWQ7HEQkIiIiIiIiIlKaBNVURbbl5czk\nuNTROomIiIiIiIiIiEi1OBORiIiIiIiIiEhxEiTVFFZRRxykLhxEJCIxUXJnrTixubA4hF4myb4o\n8bSbzAlKmHBdlDlb5uHC/YvXNTepOABkCLKYixLyyz1eLjG5uSSZbPY6wTOWy7EvSgouCR4vdxWD\ni/ApWHDJQ14LSQCQMgSFfkTryhVxsSTJvnADMu1WI0ioL7cJwTJxsnMLCgXIxCXagiVtND2PRScs\nKtggQ9Qe5Qr66EUvg2ADckn2RduVjVWwrlz7ymvxILPbPSBOsp/Xdg8I27jsGyx4gUWnB0m0TcgU\nmJB9DqICSOI1LenzzT0eZItpWVQKxpQ9+3zZAlkW9O+iNiZs94DZRVRkHy/4XCLbxhXu8y0qcCFT\nnM4See3zRcsyZDYgWixb8MWC40HU9uU+QwnbruBlFNRPebyq+W1cWFxObmUziwcBMp93LDkeRPuS\n6VtFMcgWjCMiyoJDy0RERERERERERJQtzkQkIiIiIiIiIlKaBNVczix7SRLlayppnURERERERERE\nRKRWHEQkIiIiIiIiIiKibPFy5nxMmNDf7lGQWgmTO6cmidd1FXQlcomcXdwFG7Ag2bjeTbxdM+lk\nEnILE4jLZAUXJdQXF1sRxyC3XXPJXeEgSmwunyTflCSZriwuoGIZYZJ9mffB7EISgDihvqjdyiUw\nFxX/0IqTlUsugpTpgtcLgLiNyxC+ChpBvBYk2Zd7y0QvuSVFJ+QS6qfnsbCKJU1MmDdf5ngw9wOO\n3JU6oqfraknxIFFBEEBc7MSS4kGidi9T9EpcWEX8iovavrDdAzJt1II+X1DtUS9XHMaCti/qWu3Z\n52fIvOWiwluWsKTPl6tTJiLq8+UKb+iFr2Pei2kJ+3xB0QgpI0W8XTMfD8j073IFKgTtTvZ4cDGv\nGIVsK7Dks46wmJbMqhb0+cI2LmgMov4eEB8Pcs/XkuNB1Pbl+myd8JwsKBgn84JpRcW0LJluY4Vi\nWsIiKlrT84Alfb5c36wXvF6Sq6d4XRZcsTu1VEUWnSeI1NE6iYiIiIiIiIiISLU4E5GIiIiIiIiI\nSGESJGjkZj7bmVpmRJK6sFUQUa6lp8tcjkFGtDKXyBIRkXPJyMhA1MNIpcMgK0pKlrmUmhyGXq+X\nuSSfiIgsxUFEIsqVlNRU/PL3aqXDULXf58/Fq13bYtLodwAAOp0OcTExCkdl7NiRQwi9e0fpMByG\nTqfD9gNBSoehanq9Hndv38Kaf5bj9LGj0Ol0WP/f30qHZYLt3jKJj5Jw9SZfs+x8MeEjtKlVCdPG\nfmBYlpaaqmBEps6cPI6Qa1eVDsNhRETF4Nf/1isdhqpdu3wRMz79GH1eaIbk5Mzc2fdu31I2qGeE\nXLuKTWtXKR0GEZFT4OXMRCSmNZ1lqE95ZPj75z9W4dTFa9C/0h1wNU0ALrmKi0tIosUyhVXgYtpF\nCZM7yyR81gl+J5FLGi8qJCFKNA4AaaJk44Jl506fwsVzZ3D39i1ExSfiq49Ho/tLr6FByzZmxyUq\njKKRSXLsJljZyzX7yyFWrfgLWq0ObwwejlIli6NEyVI57h8AdJZUbBEVmJBLKi5od6JCEoBMov00\n0y/sepnCLHpBsnPRMgCQHifZ37w/CBv3H0WHBtWF7R4AJFdBon93C5KSC9o99OLjyZJ5FaJCEnJt\nXLQ8TWbdJ8Uk9Ho9JElCRkYGXu7QAkmPHqFL75exbPEC3L9zCy/0fMXsuOSI2ribzKU2uhyuBJo8\n/iN8OHEKatWqBRfBZUMuguNMr5GLVXA8yCWiF7V9QTJ9QKaNi44HQbsHxG1fro2LlktZikvMXfwP\nKpcthSrF/IVtX+PhJdyukKDP18sVZsljMS1b9fmpgioqj5KSkJgQj+NHDiL+UQr+/X0hSpQui1Zd\nepgdl637/JV//4mEhHiMGPU/FAsogmIlSuS4f8CGfb6okISg3UsZ4jauS002WWZJny9bAOlxv7Jg\n+Qpcux0K3ctd5D/XiD4DeeSxz5c7Ts1cBoiLCsm1cVERFVGfn5phuuzGjRv4a/ECAMDB/XsRcuUS\n7t+9g7FfzDI7Ljmiti9q9wDgKWz7mevu3LYFf/62EKXLV8L508fxxuDh0Dxz7hAVcdHrzW/3oiJy\nmRsRFLiS6/NFRVRE54F0mcIqon7cTabdCvpcuQIqoufGeZ02JAGSXEUtO+PlzCTCVkFEFotLeIQZ\nv/6NB1HqmlWnFtcvX8SjxAQ0a9sBAJAQF4uhvTthx/pVkOTKCiogLS0NOzatx/r//sY7A19BtzbN\nsHfndqXDUrUf/1yNC9dvKx2GKt2/dwdv9uyEbz+dgIKFigAAtq5diZ0b1sC7gI/C0Rm7e+sm9u/a\ngZlfTEXH5o1xYO9upUNStfjER5i19D/ce/BQ6VBUKfTObWSkpyOwVTsAQFJiIsYPfwNzv/oUrq7q\n+b0+LTUVW9avxua1qzD89ZfRvV1zHNy3R+mwVCs1LR3z/92ECyHs80Xu3LyBKxeCUa9xM7h7eAAA\nZnzyP/z8zecKR2Zqz7YtCL8fikF9u2P6J+Mx5LWXeHkzEVEuqeeTDRE5jFlL/0N0XAIiOIgoFHz6\nBF7p2AJFihY3LAu5chEAhDOelHJ4327Ex8UBAB5GPMj8NzISOp3O5Bd6W7tw6TJ8fHxQoXhhu+7X\nEsHXbmJ30Bn4+/pkzrpTOiCVKV22PAJbtMaiOTNN7vMqUECBiOT9vew36PV6HNyzCwDw4bvDsP/E\nOXgrEOef/65Gp5aNUSygiN33ba45f65BTHwi7j1grj+Ro/v3YPa0T1CqXHnDsiN7dwIA3B4PrqjB\nvl3bERcbCwAIvx8KAHgYGaFILOs2b4NPgQJo37Q+JJmZlkr7d/t+PIiKQWxCIrRaLVQ0HqwKvn5+\neKtXRyTExxkG5CLDwwBAVe9p9MOHOHPyGAAYLrcGgMP796J02bIoX7Gy3eLVarWIjYtDQAHx7ECi\nJ9QzE1E9xzKphzpaJxE5jLDIKPy4PDMXYriCg4g6nQ4HjxxF5EP1zYzp/epANGreClGRD0zu02jU\nM4i4WZAfaPyod9GsdlVcDD5n11gqlCuHzn37Y9AHYxF86Ypd922uOX+uAQDEJiTifkSUwtGo0+AP\nPkSJUmVMlnt7q2cmYkpyMlb99YfRMjdXN3w9dTJ2bdti93hKlSyOqs074bPvfkRsXLzd95+TmPgE\n/PBHZp8fqvAg4so167Bh81ZERanr+Osz4E1UrVUbN6+Z9l3u7uoZLFj33z8myz56dxjaN21g9z6/\nXavmeOvd0Wjb53Xs3H9IdbPC9Hq9oc9PTUtHyL0whSNSn0JFAjB++jfQarXQPXNZuIrGELF/93aT\n+A7s2YWhA17G8aNH7Drg6eLigs+/nY2hH07E6eALdtuvpfR6PaKiOVGAiMQ4iOikbt26hZQU9VWT\nu3//PuLj1fclKSIiAtHR0UqHYSI6OhoREcrMEpDz5cK/kJSSmZsoKjZesQrNGo0GW7btQNnna6Fc\nhUro3LU7xnz0Pyxc9CsOHjyk6JdMSZIwecYPcPfwNLnP3jP85CQnJWHX1k0my5+vVh1/r9uMGrXr\n2DWeAgW88d3nn+Hv1RvQsENP9Bo4HAeDTqjmi2VEdCz+3vz0kteLCl7elp6ejoHD3kW/gW9j7PiP\n8ePcn7Bm7TqcOHkSDx5EKPqaeXsXwP8+/cJkuZpmIm5ZvwaxzxQ4Cg+7j3t376Bmnbp2j6ddqxZo\n06wxvv5xPqo274Tv5i1CUrJpnjel/PDHasQlZubDvavw5czlypZFvzfeQply5dGocSBGjxmDf//7\nD6H37ysal0ajwcSvZgtnmru5q2MmYkx0NPbt3GayvHyFivhhwWK79/l+vr74fPJ4HDlxGt0GDFXd\nYOL+k8E4e+WG4f8XQ5QrKnTo6DG06doTrwwaitEf/g9fzfgGi3/7HRs3bcbxEydx9+5dpCpUwKdz\nr5fQukMXk+WSiubq791u+uNQoSJFsGzVBvQbMNDu8Uz7ZDx2HziMJl36ok2vV/HP2o1IS5PJcaiQ\nQ0ePYfP2nUqHQUQqxYn5Tmjjpk0YPnw4XnvtNfy2eLHS4RgcOXIE7du3R9u2bbF582alwzEICQlB\nnTp1ULNmTRw9elQ1gzzR0dGoXLkyihcvjhMnTsDHx74zeUTJna9euozFq40/jIXfvYPSJYubrCsJ\nBtAA8S8XkkxhFb1WkKw8S9LocmVKQZIkRD58iMgDB7D/wAGjdStXroIvv56BLl27Pt2mzPcTUbLx\nDJkE5Enppomrk9KNf+UuWKocBo4ah8XfGecGStLqEZdiOvAqV1xCVNxBI3Npgafg0ge5nPEHd2xD\nctIjo2U9X+6Pad9+D+8CBQyvh6vMviz6nidK1C1Isv9ipxfwYsd22LBjD7bs3octu/ehacO6GD/0\ndfRo39Lk2NSnJJlsQ7hMkHg/MwZBonCZZPYLlq9BatrTYyL4wiW0r19NuK7Gy3TATO7rlKjt6zME\ns1Vdnx5Pbq4ueKF1S7wzZqxwm8899zxm//AjWrcxLuAjas5y7U5cSMK846Fpx+6o37QVTh99ejy6\nenghLlVc7EBUYEKuhoMoyb6nq7j/8BAud8Hy3xYZLSng44tJ07/CywMGZhaGeRyQVlBERWfJF2O5\nBPWCtv/1hDHYuucAYuLiMOnr2fhp8R/4ZNRwDO3TGe7uxv2gLvmRyeOzFr0yWi5Kvi/TKYjafnRC\nEuY8nnkOAPfCHkCXECvs33UyxSwkT/OOB0lulnaWtr963Xp4eHggNTUVFy5exIWLF7Fw0a8AgIoV\nK6BpsxYY8e67qFevvuExWkuKB8lUOzGnzy9RuRr6vDUCKxf/bLxNaFTR529Yswrp6cbvUffeL2H6\nzB/g4+tn8z5f1O4HvdIHCxb/jlPBFw2DiU0b1MVn77+Nji0DjWaIido9IG77+lTxj+jiwiriPn/O\nsv+M/n/+4mX0aib+kUESFBWSRAUu5GoPiQpcuD59DQMb1EXxYkWxbpN4pnSFChUwecqneKV/f6PX\nTNSc5dpduqDdiPr8xDTT93H0tG9x4ughJCUmGJal6YC4VPGPzDqZY1JE1PZF7R4QF7jzgBYHn8l5\n+1zV6vhl2T8oU76C0ec8rc50X/JFYATHidzB90zbL+jjjfnfTEWPN9/BkROnceTEaYwvGoDhb7yC\nYa/0QMliAUbr65MTTTapT5OZKCLohyV38edxYZ/7ONYffl6AqlUqyxdEAsTnOLlCiWQx1RQ04eXM\nJKCS1knW5Pt4sMlHRTM/gMxLetzd3eHr66t0KCZ8fX3h4+OjmgFEIHO2kb+/P9zc3FBAJe/l1EX/\nIENr/ME4IjpWmWAArFm/SThroXz58vhmxlfYs/+A0QCivfUdNALP1TSe3eGikhwnW9c/vZTZzd0d\nk76ejW9/WqBITrisvp82Ed5eT79pHT15Fn3fHY+6XQdg6aqNSEsTD1TYUmpaOhasNS44c+nWPbvH\nkdUf//xrsqxs2TL46ccfcDjomMkAoj1JkoT3P/0KLlkSiHl5q6MPO3/mFM6fOWX4f9NWbbF53xH0\ne/1NRXN41Xi+Mt7u38fw/7CISHww+UvU7PIalq/bCq1WPNBha7P/3oDE5KdfVsOiYpCRoUwsAHDr\n9h3hjKuyZcui30svY8yHHxkNINrbGyP/h2LPXM7vppLLmTeuWmH428PTE599Nwez5i+Gj6+fYjFp\nNBp8P3WC0bKjp86i6+AxaNV/OLYfCFJkZmJI6ANsPHTKaJmSff7NO3exbtNWk+XFihbFDzO/xcnT\nZ9D/1VcV68OKliiJEROmGS2TG/i2t+NHDiLp0dNBuFbtO+PvjdtRpnwF5YIC0LltS7yVpc8Pj3yI\n6d//jEqte+KNMZNx7vI1xWK7GnIDG7ftxOVr1xWLgYjUTR3fZsmq2rRpg7jYWMyePVvpUIw0bNgQ\noaGhWLFiRc4r21HlypUREhKC3bvVVZ2zePHiOH/+PM6dO6eKBNUnz13Af7uPmCwPj45TIJpM7wx5\nC5UqVjD8v1mzpvhr+R84f/Y0Rr3/Pvz8lPtyBAAurq4Y88VsaLJc4iY369KeHiXE48CuzEGxkqXL\n4Pc1W/HKm4NV0c7KlymFKWPeNVn+MCYOl0Ju4cFD+6cd+Hf3ETx4pp1fuHHX7nFk9f7wIShdsgQA\noEyZMpj74/c4f+YUhgx+SxU52CpUqYo+A4ca/q+Wy5n/+T1z1pqXdwFM/noWFv6zBqXKlFU4qkyf\nffgeCngbT1W6cTcU476eg1//XW/3eCJi4vDzKuOBC51OjzAFc+F+P+NLlCqR2e4LFiyIwW+9hR1b\nt+DyhWBMm/opqlYTzw62F0/vAhg55SujZaK0FvZ258Z1nDt1HABQ6bmq+HPjLrw0QNmB8yeaN6qH\nV3t1M1l+5PR5TJr1Cw4cP2P3mH5evd1k8PLCTeUGEatUrIAeXToa/u/n54vPJn+Ci2dP4p3hQ1XR\n53d5eQDqN2/9dIEK2hYA7NvxtA8b9M4H+HHJX4oOnGf13eRxKF3C+EqeQn5+aNesEZ6roNx56edf\nl0Kj0eDSVQ4iEpGY8t9mySbc3d3hqsIycmqZUfcsNcelhg/5ADD5mx+Ey5WcifhCm1aIiIhEv5df\nwv69u7F7x3b06d1LVW2/cvVa6DdkpOH/GhVUZ96/YwvSUlPR8oWO+GfrftSq10DpkIyMHjoQNZ+v\nYrSsQtmS+OKjd1C2lOml87ak1+sx9z/TS8gu3rprkqjdntq3bQ0PT8/Hg4cnMXTw26r4IpnVmx+M\nQ6GAogAA7wLKF1aJi4nG1vWr0bBpc6zadQj9Bw1RTf8KACWLF8VHwwcZLfPzKYADKxZgxGt9ZB5l\nO7P+2mDIf5tVaKRy+YMvXL6MhvXr4q/lf+BWyDXM+2kOWrZsoaqrCJq064TmHZ8OiqlhJuLWtZmX\n5vbu/zr+2rwbz1evqXBExr6eOAbeXsaDra0b18OhfxehdaB9Z5bGJSZh6Zb9Jsuv3glDWrr9Z8ID\nmTM2Px7zATw8PDDmg5G4ePYUJo4fa/c0N9mRJAljps+Ex+MrCdSQE1Gv12Pf9i1wdXPD9Nnz8NGU\nz4V5S5XiX9APv8z4zGhZZHQMWjSqBy9P5X58mP7JWCz68VvM+Wa6anKU5juSBMlFo46bis6vpB5s\nFUSUo90Hj+L0+Uvo27aJyX0PFBxETHz0CGcO78Gy35egcaNGisWRk9dHfoTSFSoDUMcg4q5N6/De\n2E8wd+kK+BcurHQ4Jtzc3PDTV58CAHx9CqCAtxdee7GzIoPD+89cwrnrpkVUHiWn4o6CRSY0kgZn\nDu7G0MFvw8NDHYUbnlXAxxcjxmd+QfJUweXMOzaswZhPPsNvKzeirMKXssn5aPhbKFE0Mx+Wt5cn\nShULgK8CP3KFRcVgwdodwvvuKViZvH2b1li5/Hf06d0Lngp+yc7Ju5O+MFzCr/Qgok6nw/7tm/Hl\nj/MxffY8eKvgWHxWmZIl8PF7mTOXnwwI+xTwVmSQ//fN+5Ccmobny5U0Wp6h1eL63XC7x/OEi4sG\n54/uw4wvP0dAkSKKxZGdkmXLY/BHkwBAFT/QXL98AakpyVj073r06v+60uEIdX2hNd7s1/vx363w\nycjBqFa5gqIx+fn64vV+fdGhTStVvI9EpD7qma5DRKoiZTzNg1W7SjmEHd+O4O0bsHpvEABg8us9\nsPX4eYSHP4AuMdbk8ZoM8RcV0dwtuV+GJRfTL1/6LImcn1wGIjcfTLRclEwfEBdRSRZlGgeQmGqa\nEyxBkGz86eNdMWTyN5g+9GUkpukQk2I6m0Eu+b+LIK+QqLgEAHi7mb6O6c/MlktPS0PPQcPRunVb\npGToATx9LhrJ9PHuLuK4xMnZZT5sipLsZ4grET5pd60a1MDb/XriUXIyvhk1GGVKFIU+yTi5uO6R\naaV3fVKC6TKZBOR6UZ65Z5Lh7zp8HNPffBHubu6YsDgzj+TLrRpi9aFTOH/hIsr5CgYIRInNZZL3\nCwsNiZLsP5Pc3LdA5gCKXpjYXLgrYRvLkCkkITpORAn1ASAhTVR0InNZg869UfXvpdC6eSImWfx4\nUVsSFZcAxPm9Re1etLx195dRrEhBpGj1QJb33kUSfxRyF7y0spMyRG1cbmVB23/S7n09NPhs9DBM\nmjkP+1YsQkFXoGgBD6OiEroE08uJRQWFAHHbF7Z7wKjt7zt0Ap++3h1Vy5fGS1PnAQDqVymH09fv\n4M7de9DGmQ4kagQFVABx2xf1+aL+HjBu+xpAvngBxH2+3Fsm6vNTM/LW5z95vLt/MfR7bxyWzZyK\nZJ0L0vLY57vJzARJFRQPerbPj46MwITvF6JW9ep49MyxKlnQ54sLTIiPU2F/l0Of/9HgV/DbP6vQ\nrEFtdG5aHy91bA2XjFToMjJnw4raPSBu+7JFWGRiyKpiIW9c/20aNh67gA9+/gcAsHLKCHzx12YE\nX7iIagGCQkGe3ibLNKLCKnLFg0Rt/5k+v2GdzNmjondBrk6JLfp8UZEgAEjRZra7tv0GYffmdUjT\n6RGTLJ65KV+sxJTo8464aBbg6278+t66dQsL1+5AyTLlkJClyIvkIe7zXQXFtLR6KxTT0gr6/CzL\nZk0ag32Hg/DP3Bnw0qWYFFIRfa4Rff7JvENwLpIprOIiWC55io8RvajfVf43cacmqSSHuqSS/Kak\nLhxEJKIcFQvInK126trTGVk9m9XF/17uiD1nrigVlkOp3rApOrw8EBq5LxF24ubujrpNWigag7m+\n/ngUDp88gzIliioWw9Q3egAAfly7x7Dsx5Gv4YPe7fEgUabqMxlIkoQhE75AYnys0qHAW0WX/mXn\n7X4vIuFREqpXqQi93BdFG3ulTebM7nXHzhuW/TByAB7ExCH4hrJFhRxFl1ffwv6NK+Hq7i47kGkP\nhYsWQ+GixRSMwDxenp74duIopKdnoH/7ZorF0T2wFgDgzuPL9l1dNOjUoDo61q+OO9HKHI+ORKPR\n4N2pM7Fv/X85r2xjzdp3gY+7+r/qFiroh42/z0UBby/oH5mmkCAiUhv196xEpBoXbt8HAHh5uKFa\n2RJwdXFBl8a1FI7Kcbw2+hNkpOU8E4IyBRT2R8+ObaEXzHS1N08PN1QtUxwxicnwL+CFxlUrQFJB\nwQRHULF6LWgzMhQdSHEkrq6u+HDIAKXDAAAULeiHV9o2xvmboahRviQCq1VE18DaSoflEFxcXTFs\n8gy4urkjnY3fLH27vIDUtDQgQ/mBlDsRmYOIZQIKwfXxzNkqpe2bk9dRla5YBV1fH6J0GA6lepVK\nSodARGQ2DiISkdm+fLsPRnRvgxthkYYP1WQ+bx9fAKaXm5H6jejeBiO6t4Fer2eOoFxwcXWVvYyO\nTKmljbWoVQUtahkXOWLfb74qtepl/qFln28OSZLg6eEBvQoGEb98qzcGd26O5FRliqk4ukIBxWTT\nAxBR9iQJ6iloopLPI6QuHEQkIrNJkoTyxYugfHF1JvUmsjW1DO4QEZHtlCpSEKWKFFQ6DCIiItXh\nICIRiQkS8mtjIoSrii7r1Hv7Cde1JNm45CqoOqsTJPWWSWat15tuV1wQBEgTzJISFYwAgLhUUbJx\n09kKiTKPTxPMSkmT+cVelGTfXSapuKjAhK8F+YDcXEz35SlYBgA6C84eoiT7klZmdkeKaUJ8uQTi\nunjT4g66R4LCKoJtAoAuzfwZJqIE13KXM4vavkauqICg7YuSoIsSswPiJPt6mTYumgiYJpORP0HY\nxsUJ9UXHw5PCKlnJzUqROyZFRAUmvN3Ex5mPTPL8Z3m6ivsfUaEBS2IV9lWQafup4vyaomISokJW\nonYPiNt+Xts9YJs+X9jfAxb1+aJM/3LFtGzR5yfJFONKyTDdrlxhFRFL+vyCZrZ7wLI+X2vJNwZR\noSG5Pl/Q9oXtPj5a+HDR+UGusIou3fR91MnMEnVxM33CGpmK4JLo+BVdcSDzWUfjbtr2pQwv4brC\nAhcyE5Zs0eeLCsMB4j4/RabPl/u8IyJq+3LFtESz3UWvgajdA4C7YLklx6lsYRVRsTWZ2bY6QREV\nUSEr2cIqon3JFb3yEhQJ8pGZJCBzPiOi/ImDiFYWExODY8eOGW5hYWEAgN69e2Py5MkKR0dERERE\nRERE6iTJV3O3M0lSyWXVpCocRLSifv36YdWqVcJZIPXq1bN/QERERERERERERFbAQUQrCgsLg7+/\nPxo1aoTAwEDUq1cP/fr1UzosIiIiIiIiInIEKpmJCLUUeCFV4SCiFa1cuRLFixc3JN5PSTHNKUdE\nRERERERERORoOIhoRSVKlFA6BCKrESXkT46MFa7r4ulusszD34Lk/a5uwuWuBUwT9UsWJHfWCVIL\niBJvA0CyIPF9oiDROADEJJs+t1hBsvHYJPFrkChYVy55t7iwivjXSX9v09dR9BoAgKsggbioQIVc\nAvO8JhuXKxSiExWCEBSSAABdgunyjPg4k2Vp8UnCx2sFSfb1ckn2BQVqRO0ekGn7guISgLiIioso\nCbq7ODG6KHm/TubH6wzBe5aaIX4fE9MESfYtOB7iBMuS5AoNCY49F5lfvkVJ9kXtHgBETdRNcDx5\nyBSt8HARHU/CVcVkC6uYtn1RMn1A3PZFSfbT48RJ9jMeCQpkCdo9IG77onYPAK7epu3WXZDQX46o\nzxf19wAgCYoSSXLFtATLZA5pYYEruT5fVEQlWnQekOnzkwXHk2XFtPLe52sE27Wkz7ekppCo7cud\nu0VtX9juBcVWAHHbT0+Q6fMF74Ncny8qKuRWQFxYxd3XzEkDMp91NN6+pvv3EPeXovOpfDEtwWcg\nmeNB1OeLiqiI2j0gbvuizzqApUWFBAXjPMX9Urq36XYFzR6eMgWjRG3fkmYvKiIHABD1+XIF4wSf\na0TLtPGmywBx/+5WQNw+dQVM251rkVLCdSVBW7LktSEi58JBRCKyCq1OJ/vFn8hZ6fV6w+xzIiJy\nXrcfxqJ8gL/SYRCRs5Mk9VxGzMIqJMBWQUR59ig1DSuCLigdhqJ0Wi1uBp/Ett9+RMiZIKXDITs4\nFhKKh4niGS9EzuzAldtKh6AK0eGhOLpxBR6G8vXIDyau2i076y+/0ev1SE3m+Y+IKD/iICIR5dni\nfadx9s4DpcNQlDYjHfM/HIjtv8/F6V2blA6H7ODH7UdxI0J8iV1+kpaSjPOHd2PVD9OREPNQ6XDI\nxmIepeDTVbuVDkNx0eGh+PKVNvjv20kI3r9D6XDIxk7cDsP28zcQIXOpdH6h1+vx78wp+Kx3c2xc\n8J3S4RA5LcnFRR03tcyIJFVhq3AgMTExsrfY2Filw6N8KiElFXN3HMP9WHFOr/zCzcMTFes0BgBc\nPXFQ4WjI1i6FPcTW4BCEcBARd6+cx4JxQ7H3v99x5cRhpcMhG1t04DQuhkZCK8jHmZ8ULlEaRUqX\nAwBcPX5A4WjI1n7efxoAcP1BtMKRKEuSJETeuYH4qAhcOrJX6XCIiEgBzInoQAoXLmzzfchl9uLF\nG/mQxjTBtOjXqEUHziL6UTLCYhOM7xc8Hsj8Zc2cfQGA3ga55uTy17lYsC9Rom4XjYRqjVvg2olD\niAq9g9jwe3DxFxdbEiXOlyNaV+7xouUaG+XrE23XGnuShO1OplKIuduUSaKu0ZkulxsWebbt/7Tn\nJADgZmSseb/SWvAchMeIFXLSiJqCJW1RTqVa9eHhXQCpSY9w5fghBHbqZWG7NX1ulrRxuXXNfWpy\nx36eDx1L3jO5NmTm8aCRaeOiti9q9wAAwbrPtu2ElFQsOnAG6Vod7sc/QrkiBbONNTMG8/t8ITvO\nghAVHwHk2121xq1wKPRP3Dh3HNr0VLjIPC9RG5epWSMkKigkF5dcn2/JOc6uRO+vBecBUduX65Pl\nzgUiWYsKhUTEYOvFGwCA65ExaFmtfI7btcW5zJZE7Ua0zEWSULNZO1w7dRQPQ+8g6t4tFCtbEa7C\nY0Tu9Tb/BwjLziXmbVPuOLfC6VBMdC6Qawtm9neWfK6R35d62yMRqRtnIhJRrsUmpeDnx4Mp92Py\n90xEAKjauKXh7yvHORvRWd2OisPqU5cBgDMRAbi4uuG5+k0AAJePH2TOMCe25OBZxCWnAgBuse2j\nauMWAICMtDTcPHdC4WjIVn7Zd8pQnfraA9Pq6PlNjWZtDX9f5GxEIhuQMgd51XBjYRUSYKtwINHR\n0bK3GzduKB0e5UO/7D2J+JTML5QRCY+QlqFVOCJllapSHT7+mTOGrxw/pHA0ZCs/7zkBrS7zG+XN\nSA6kAEC1xwPosRFhiLjD85EzSk5Lx/y9pwz/v/UwVrlgVKJKg2bQPJ5pefkYL2l2RpEJSVhx/KLh\n/9fC8/flzABQokIVFC5RGgBwgYOIRET5DgcRHUihQoVkb/7+/kqHR/lMVGIyFux7+oVSrwcexCUq\nGJHyNBoNnmvYHABw7eRh6LTOM6iq1+tx7colpcNQXETCI/wVdN7w/xsRMZx5B6B6YCvD35c4C9cp\nLT96HpFZqpFzAB3w9vVD+Rp1AQBXjjlXu9dqtbh/767SYShu8cGzSM3yA2l+z4kIZKaFeTIb8frp\nIKeq0pyU9Agzp09BfFys0qEQEakWBxGJKFd+2n0cj1LTjZaF8pJmwyXNSQlxCLt+MYe1HcfyxQvQ\nt30LLJwzC7p8XFBh4b7TSEl/+oUyMTUNEfGPFIxIHYqXr4yCAcUBAJedbDDl8L49CAu9p3QYikrL\n0OKn3ceNlt2OjFUmGJWp2jhzAP1+yGUkREcqHI31LJozG73aNcPmtSuVDkUxj1LTseTQWaNld6Lj\nkJyWLvOI/KPm40HEjPQ0XD15RNlgrGjmtClY8stc9G3fEvfv3lE6HMqvJCh/GbPhxuEiMsXCKkQk\npPEqYLLMq0QAAOBBbAIWHzxrcn+kToJHsWKZjy/gK96uj7/pMl/TZQCgd/U0XaYxv9sSJd92k8mc\n7SFIXF/Q0/x9uT1Oct2sdTv8MyNzWeTFY2gc2Nhk3dQC7ibLtDKz2UTJ8N1cZJ6DINF2QU834boF\nPUyfm48g07+7i4TzZ09j5udToNVqsfLPpRg0ZBhcfAoJtyskyKciem8BQPI0bXdy7UP4eHfT7br4\nyAzyZVjwRVDjgrikFJMvlABwNx0o97jdA+JjR9TuAUDja/o66l09TFd0kWmLgg93ch/3hG1J5ngo\n6GHabrQyEy6fbKNes9bYt+E/XD99FEW9XODiahxzqlY8+CyzWLwvQdv3dhMnh/dxN10uOh4KCNYD\nMp9XyLWreP/tN+Dh6YG5vy5FxxfaigMTJs4Xv2eitq/x9hNvV9BGhQUbBO0ekGn7lrR718zX69/d\nx3E/1nim+a2YBLgXCTD836I+v4Dp8xW2e4j7fL1MjiZRa5Zr415ugv5S0C8CgE5n2vjdHh97zVq1\nw9bffgQAxFw+gapd+5ismy44eNJlfoyxpM8XtX1RPw5Y1ucfP3oYP838CjqdDr98/y26vdgLkmRJ\nMRzBe+Ziet4DZNq+BW3U1dX0mHbxSRGvLNiuXuaKAcnFBcu2HUVMkvG29HrgXgZQu0zRp+uaed6S\nPZcJHq8XPK/MnQmKuMgUzRG1fbnjwVfQFtIF7f5J+2zasg1+c/dAeloqbhzfjybtOpmsW8hb3MZ1\nFszeF7V90WcdAPARtHFRu/eV6fMP7NyGFct+AwCULV8RpcuUsaggkV6uSKCL6Xup8fYRrqtJM++z\nlVyfr8lIM10m+EwCiNuj3GczuedGRPkTh5aJyGKz1u0T/hIfGhWnQDTqUqREKZSsUBkAcDHI8XNk\nJSTEY9Swt5CelgZXV1f8sOA3+PoVzPmBTmjxjiDEPy4qkVVI2EMFolGf2k0zZ+EmP0rEjQtnlA3G\nChITE/DOoAF49CgR0VFRSElOVjokRWRotZi1Zq/J8pvhLDABAJVr1YOXT+YAqjP0+dFRURgzYjB0\nOh08PD0xZ+HvcHcXDwA6swytFj9tPiy879p955lxmlueXt6o3qgpAODMoT0On9YjKjICn4wZCQDw\n9SuIb+b+AhdRZXkiO5E0GlXcYMFAOuUfHEQkIouERsVh8c5jqF6mGDzcXJ+5L1aZoFSmVpPMy9tC\nzp106FxBer0eU8aOxp1bNwEAYydNRb2GpjMr84OUtHT8tFlcLCckjF8oAaB2k6d5ES84+CXNer0e\nH48aiZBrVwEAo8ZNQLuOnS3aRnxCgsN/sQaA1UeCcUNQkTb2UTJiEh23f7MWF1dX1ArMrNJ88dgB\nh37PdTodPh71Dh6E3QcATPniG1StUdOibaSlpTn0a/DEuuMX4eftgfG92xiWFffPHCy+GhqhVFiq\nUq9FOwDAw7B7CLt5TeFock+v1+OL8aMRHZX5g+DUb2ajVJmyCkdFRKReHEQkIoskp6Xj9OwPse/L\n95D+ONn4wBcCEfh8edznTEQAQK2mmYMp2ox0XD0dpHA0ubf2nz+wcc0qAECb9h0x+N33Ld6GXq/H\n3AW/4tJVx/2CAQBnbt7H/3q1wYU54wyD5y/UfR7lixXmTMTH/AOKodxz1QAAFx18EHHZgp+wZcNa\nAJltf9TYCRZvIyExES/2fwN79h906EGV62EP8duoVzFtQBfDsm6NMgeWOBsxU+0mrQEA8VGRCA25\nonA0uffnop+xZ8c2AED33n3Rf+BbFm8jPT0dA4e9h607dzt0u+9U93kc/nok+jatZVj27ds9seiD\nVxEey/zPAFCvxQuGv88d3qNgJHmzavnvOLArs9336NsPPfq+nKvtPIjgD4pElD9wENGK1q1bh0aN\nGhluLVq0kL2vdevWCkZKlHtVSgagXNFCuHj3gSGvTZeG1bHt85HoEVgrh0fnD9UbNoPm8WUwlxx0\nMCXkyiV892nmwEnxEiXx7dwF0OQiubIkSQhsWB8NWr6AAUNG4Nz5C9YO1S6aVi2Pkd0y+/TU9AwA\nQO+mdXB09lgEVi2vZGiq8mQ24o3g00h+5JjV2o8fPoAfvpoKAChbvgK+/2VRrtp+6ZIl0TywEbr0\n7Y9OvfrhwOGjVo7UPj7p1wGvtKyH8Jh4AEABD3f8O3Ewlnz4BqISWFQIAOo0e/qZzlEvaT5/+iTm\nzpgGAChXoSK+mDVHNtdedgoUKIDePbqi16sD0aJjd2zYst0hBxN9vTJzdIZkGSivXCIAA9o0xNdv\nvqhUWKpSsnwllChbAQAQfMgxBxFvhVzD959PBgCULF0Gn82YmettnT0XjI4v9sHmbdvzdQE6sgZJ\nBQVVHt9kchBT/sZWYUWRkZE4efKk4Xbq1CnDfQ8fPpS9j0iN9JJkcoNGY7iduxNuWLdOpbJw93DH\nq+0aP10nH/P28UWV2g0A2HdGlotGMrnl5vFpqcn4+L3BSElJhkajwez5i1EkICDnDcho0qghBr7a\nD6vWbUTjtp3w0htv49jpc7nenqUkjYvwJvywJOdxu76e5bLO50oXg5+3J0b1bCtc1+iWT9R+MgtX\nm4ErJx1v0Cz8fijGvTsYWq0WHp6e+Pm3P+BfqHCutzfmvXdQtnQp7D98BB16voQuffvj0HH7nf/N\nbvdmJM2/Epo5y+b50kUhubjglTaN0LFhjdy1cSc7RoqXrYBiZTJ/TLgUdAAukmR0E3l2nezWtZUn\nff6jhDhMGDkYGRkZcHNzw48Ll8DX17jgiUYyvcl5qdeLaNuyOU6eOYuXB76NwHadsHrLTuj0yPxC\nmvVmJrl+XNjGLSC5uAhvT46Lm1mqkFcsUQQA4PVM4Snh453Us22gfsvM2YjXzhxHcqJjzNDUSBI0\nkgRtRgamjBqB1JRkSJKE735aAP+C/tAAhpslOnV4AaVKlkTf195EvWat8evvfyA5n+bSJSLn5tif\n2lSmd+/eOH78uFm3Awcc85dqoieCb4UBAHw83VGheO6/ZDurJ3kR74dcQexDx8qf9M2Uj3Hj6mUA\nwAdjJ6BJ85Z53ubnkyeioF/ml9KNW7ejRc9X0e31YTh47GSet21PV7Mk1H+uVNFs1syfqjdsCpfH\nVUUdLS9ieloaxo54C9EPM9/jL777HjXr1M3TNr29vfDFlE8M/9+z/yDavvQmug8cgSA7DqRbw5M8\ncM+z3QvVaZo5G/HqmSCkp8pUB1YhvV6PaWNH4f7dOwCAjz/7HLXrNcjTNiVJwuyvPzcUpjh3/iL6\njxiDBh17Y8W6zdDKVERWoyczEQv7esO/gJfC0ahPvVaZg4habQYuHnesPn/h99/gUvAZAMCgd0dZ\n5bPOd19OQ+FChXD12nW8/9E4PF+3ET6fPQ+RUdF53jYRkVpwENGKAgICjC5Zzu5Wv359pcMlypPz\ntzMHEWuVL5mrS/2c3ZO8iIBjXdK8ec1/WPP3HwCAxs1b4b0Px1llu8WLFcWnE8YaLdux/xDavTQQ\n7fsNwq4Dhx3ikrfrj/Mf+ni6o0QhvxzWzn88vbxRtW5DAJlFJhzJd9Mm4dyp4wCAV94cgpdefd0q\n2+3/Um80aWQ8KLN93yG07DUAvd56DyfPqf8S/8SUVNx7nPO2apliCkejTk9m4aanpuLa2RMKR2O+\nf5cuxs7N6wEAbTt1xaBh71pluzWrV8M7Q94yWnbh6nW88f5Y1G3fE3+sXIeMjAyr7MuWbj7IHPyp\nVIw/lorUaNgU7p6eABzrkubTx45gybzvAQBVa9bGu//7JIdHmKdY0aKY8flnhv9HPozC57N/QuXA\nF/Dex5/hSshNq+zHHo6eOsvBT6VIUP4yZsON3/HIFFsFEVlMp9MhOMsgIpmqXLMePAtkVnJ0lEHE\n2zdC8PnHHwIAChUJwFdzFxpmkljDO4MHoWb1aibL9x89ji4DhqJlr9dw8vxlq+3PFp4MIlYpWTRX\n+cLyg9qPZ2Tdv3kd0Q/CFI7GPBtW/oN/fl8EAKhdvxHGT/3KatuWJAnffTFVeN/m3fvRtEd/TJz1\ni6pzaF0NfToDlzMRxWoGtoD0+MvWhaP7FY7GPJfPn8PM6ZMAACVKlcH02T9btV+bMv4jBBQxHXy7\nEnITgz+ciG5vDENsvLovgTUMIj6+lJmMuXt4olZg5gy+4CN7HeLHwMSEeEwZ8w50Oh08PDzx5ZyF\ncHN3t9r2B77WH21atTBalpKail///Be123RDn7ffw76gU6p/rX5YuASXr91QOgwiUiEOIhKRxW5F\nxCAxJQ0AUKcCBxFFXFxdUbVhUwDApePqr86alpaK8e++jaTHxTC+/HE+ipWw7nvr6uqKH2Z8Ibyv\nX48u+GbSWDSoWdWq+7S2a48vZ65SMvc5Ip1dnSyzcC8eP6RgJOa5fP4cpn88BkDm4PmshUvh7uFh\n1X00adQQr73c12R5jecq4+jGFfjqo3dUPaM76yAiZyKKFfAtiEo16wEALjhAcZWkxESMf3cw0lJT\n4eLigm9+XoyChQpZdR+F/P3x+eSJJss9PTyw7vdfsPWvxfD387XqPq0pLSMDdx/GAgAqPk7botWq\nd7BfKfVatAMAxEY+wL1rlxSOJmfffTrBcPn+6MnTUOl50x8380KSJMyb/R08BOcRV1dXeHla9/xi\nCzfv3MOaLTtx6XqI0qHkW5JGo44bC6uQgKvSAZBjsOR3aXUPlZC59EmmlVVTHmTOwjp19qphWVVf\nb2REP0RahhbRiUko4Z/5hcDFx/ycUJKb+Bdgjae36bq6AmZvV6szbY3pgmUAkJph+sUgIU2ctykm\nJd1kWVyK6WVZZes2w9n9OxD3MALng8+jeMXnAQBJgu2KYpXj5S6eHejradqlp2vF2302Kf6irz7D\n5fOZOdoGDP8AdZq3RUJqBjxc3ASPBiz6HqV/unLr5k3Qv28vrFi9zmiVu/fvo2blskBqkkkfokuI\nFccQF2W6LN503fQkcVvUpZl/KZ3kokFyWvrTL5QFvZEWldnub0REo1qW2VluaYL9yc0yczV9fV29\nBG1cKxOrYLs6mcmjWsFAttzxkCB4beIFbRwA4lKNj4dClarDy8cPyYnxOHVoH6q265m5TZnHi9q+\nXFEgD1fTD7M+gnYPAOla0+XPFq5IjIvF2GFvIjUlBRqNBtPnLIJvQAk8StPCw9U0BgsOU0Bn/Hw/\nnzQOazdtRnLy0/Zx8VoIdu47gIZlXhSeO0Vt39x2D4jbvqXtHgAuXL0FIPN9KS0BGdEPER6bYOjv\ngWz6fFHbFxS/cBH09wAg6UzjlfTi40n0GoraPQCkZpguT5R5beJSTZeL+vzy9ZshJPgU7l67iJA7\nofAtnPljg6jty/X5orbvLmj3QO77fL1ejx8+HYfbN64DAIZ+9Akq12lokz7/rQGv4Nelf+Dkmac5\nQFNSUzHrl1/Rsn4N+OkFbdTMdg9Y1udrH//4aQ5Jo0FIRAx0j9tPWU8PpD6Mwu/7T+Ot1sYpidwF\nfb5GkPdREvT3AODiKejz3WU+6wjavtyPlKL+Pa99fnSy6eef8g2f/nB0ZO8OeJSqDED8WQcA0gSf\nt+SIPu+I2j0g/9yyOrJ9Azas/BsA0KT1C+j+2tuG495D8P7oLPgBWNI9fb7PVSyPSWPH4NMvvzFa\np3zp/7N31mFuVG0fvie+7r5dqbuXllJaSoEWaHEoXtylWHF58eJW5MXdXV4oUKyUektt2/Wuu288\nme+PyUY2k65ls8tH7uvaa5PJyEly5mTmOc/z+6XwwIprGBqlAUO79/VOe4vXfuX6vq/rIrvF+zvz\nNTYrQr0lWYRY6Rx55uXXsdvt5OzLBZtZtt8FCRLk30swtBwkSJAes9MhsC8IMDpFKvH5YN0OthYN\nrtLFnTt28NrL/2Xzpo396pBXXpTHN/99nGevOQuz0XWc4dNmOx/nb1nXb8fvK+t//h/fvvcaAOOm\nTOcSP2kD+eKhe24nLFQSqE9OkG6y12/dwfylF1HuCFQPRorqmui4nxjm0Mf6dONu/swtGcBWefPR\nB+/zxKOP8tWXX7Bnz26MxsCaPCiUSoZNlbJw87YMXq1Lu93O47dcRXlJMQCXr7iL6bPn9tvxhqSl\ncsOVlwEwYdRw4mOjAbjj0ee489nXB+3nBJDnKOnMio9Go1LSpDfy8FeDL9vunbfe5KsvPqeosLBf\ny8PtdjsVBfvYn+NpjjNiusuYIX/r4B3z13z5Eb998ykABx06n7MuvbrfjqVQKHjyofsAKQtr7kxJ\nM/X3DVs44sxLqWlo6rdj95XCukbn46z4KJrajfzni1+xDDJjmG++/ppLLrqA++/9D2+98Qa//rKG\nwoICTCaT348liiKN1RUey+JTh5CYKQUO9234ze/H9Bf1VRW8dO8tAETFxnHzyqf7VZbkuisv85Jw\nKdhfypwTzmL933v67bh9pbG5hdc/+gKAvf8gDccgQYIEjmAQMUiQID1mt6O0bWhCDGFaDTa7naf+\n9xeFNYNLgHn0mDG88dorHH3E4WSnJTP34INYcfVlvPnyC2zZsJ72Nu9sy95QVVzID2+uInfLX+zf\n87dzeVxaFlGJqQAUbB2cZZ01FWU8e+f1AIRHRvGfZ15GpZbPlvAXaSkp3HH1xQD88uErnHH80QDs\nzi1g3nnXk7u/rF+P31sKalw3lMMTYxBFkWd+WE9+1eDq94fOO4znnn2a884+izkzDyI9KYEpE8Zx\n3tKTuPf2m3nntVdY9/tvVFVW9ClwpW9t4d2n7mflhSey5edvPV4b4QigtzXWUVWUK7f5gPPhi0+x\n+fefAThs0WLOuuSqfj/m9VdeSlpyIhefeTJrPniFlEQpiP7wqx9ww6MvDtpAYm61lAkzwlHS+eZv\n29hcWD6QTZIlLS2N8889m+mTJzA0I43Fi47i3ttW8Mn777Jn5w7M5u5noh2I+y86hQfOWcSXLzzi\nsXzI6Ilow8IByNs8OLVwSwty+e8D0kRRXEIidz7+fL+X0s+cPpVzT17CoQdN4bs3n+P4o6Ty1227\n9zL//BvYX1Hdr8fvLcV1zc7H2QnRvLV2O816EwXVjQfYKvAsOvpoSvaX8Nijj3DN1VdywnFLmDp5\nImPSEzl4wmhOPfYoll92EY89eC+fvfcWG/74rVemNqs/fINbjp3BA+cejb1TIHXUQfMA2L97G4bW\nZrnNBxS73c6qO6+j3ZG5uuKBJ4hPTO7XY2o0Gl548hEEQeCIQw/mlisvAqC2vpEjL7qRz38afBMx\nAC+/+wntemlCfG9+MIg4MAiDwFDF8RcsZw4iQ7BXBAkSpMd0BBHHp0naWF9u3ktBdQMF1YMnmGI2\nm6muquKsc5cBYLPZyNmzh88+fI/7br+ZpUuOYvKwNBbOmcH1l1/Eu688z5b1f2K1eJfqdMUIhxst\nQOHOLc7HgiA4sxGLdmzC6qcbWH9htVh4/KbLaW+RLvhvXfkMyWlDAnLsay84i+OPms+I7AzefOI+\nrlp2OgD7K6s57Lzr2ZqTF5B29AT3IOKwhBh+3FXA3oo68qrky+wGgsamJirKyzlq4ULnMrvdzv7i\nYn77+Sdef+kF7lxxPWedtISDJ4xm4Yzx/PjNl70KXml0On788E2Kdm9n3+a/PF4bMc2VkZW3efAF\n0Df/8TPvP/8YAJnDRnDHI88GxCgnLCyUB1dczeIFcxk7Yii/fvQqmWmS9uiz733BZfc+hW2QZTlZ\nbDaKapsAGJkUh9lq48WfNpJfVY+9R/Xd/UtbWxvpGRnMOGgmAK0tLfy17k/eePlFVlxzOYsPn8PE\n7FSWHH4oK665gg9e/y/5e3uXDTRkuKTdWrhzC1aLa1xXqtQMmyxl4eYPwixck0HPozdehslgQBAE\n7n7qJWLiA2OU8+DNV3P6kkXotFo+XLWS8087HoDc/WUcdv715BQOroxukLLPAUI1aqJDtLz0i/T7\nvrdycGTM22w2CgoL+eH77xk3frzX66IoUlVZweYN6/nyk494/snHWf/Hr8QmJKBS9VzRSqMLoa2p\nHkNrC2X5ntqHo2ZKQUTRbh+UAfTv3n2FnRukdi0+7WwOPeqYgBx35vRpXH7u6SyYM5P7VlzDiw/f\njVKpxGgys/SGe3nq7U8G1ThhNltY9eb7zudlldW0tPpnwj1IkCD/fwhqIv4/pKy8nJtvvpmlS5ey\nYMGCgW6Ok/b2dm666Sbmz5/PqaeeOtDNcWIymbj11lsZP348F1xwwUA3x4ndbufuu+8mNjaW6667\nbqCb46RZb6S0QdJsGZ+WgCiKPPGtFCQorOnf2XlRFGlpbaWyupbqmloqa2qpqq6lorGN6ppqqqo6\n/qpoaOy6LaIoUpC7j/LSEhaqNUw9aHavsvAiY+NJGJJFbWkxhTs2e7w2fOohbPnfJ1iMBkr2bGPo\n5Jk93n9/8f5zj7Lvb+mm6Jgzz2fewmMDdmyNRs3bT0kmKwqFgifvvon42BjuefIFahubOeKiFXz+\n1D3MmzEpYG3qinxHkDwxMoyIEC3PfL8eIKBBRFEUqW9spKCohLyiYvLLaykoKqKwsIiCwqJu9XuA\n5JRULrjsSo5deg7hEd66SN1BpdYwYuI0dm1cS972jR6vxaVlEJOcTmNVGXmb/2TuaYNnbK0qK+Hx\nFVchiiIhoWE8/OKbhPXyM+gNZ55wjDNgOSxzCL9+9CoLz7yE3P1lvPb59+gNRl677ybU6sFxiVZc\n14zFIYg3IimWL7bupaJRctQtbWgmMz66X49vsVioqqmjsrqa8spqKqqqKW9opaKiksqqKioqKqis\nqqKlGy6/ZrOZ3Tv/RqFUMH76waRnZveqTaOnzeLnT97BYjJSsncXQydMdb42fPoh7PnzJ1rra6gu\nziPZoYU7GHhl5d2U5O0F4LRLlzP14EO72MJ/JCfEc8HSEwCprPm/D99FTFQkT7z8NmXVdcy/4Aa+\nfu5+ZowfPOZaxR0auPFRfPN3PpVNUh/bW1EL0/xrxnEg7HY7+8sq2JObx+6iCvbs3UfO3n3szc3r\nllSLQqFgyYknc+X1N5GU1fv+OHb6wc7HuVv+ImOUK3CZOWEampAwzIZ29m38nYnzA3c90RX7c3N4\n96mHAEgaksVVd9wX0OPfd9PVVNdJ1wkXnnEyQ1KTOf3yG2ht13PToy9SVFbJEyuuQKn0IWgcQD78\n+nsqqms9lu0tKGJa2vABatG/FAFZ7eABYRCbvgUZOAbHFWoQv7L6hx94+513KCsvH1RBxO+++443\n3niDtWvXDqog4saNG3nxxReJiooaVEHEvLw8Hn/8cRQKBZdccglhYd03FOlPdrm5dI5LS+DnPUXs\nLJVKkfpazmy2WPhl806q6hqoqm+ius1IZU09lbV1VNc2UFlbh97gP323YSNHcdZ5F3LCqadj14b3\naV9DJ0yjtrSYot3bsNvtzvKwoVNnIQiCFLDcum7QBBG3/fkrn776HADZo8dx3g13BrwNoSEhzseC\nIHDHNRcTF6LkmodW0dqu59grb+fdh29j8aShAW+bHAW1UoBueGIMW4srnVqIpQ3NGMwWQjT+KQMX\nRZGa+kby95eSV1xGwf4y8sprKCjeT0FxCc3dCJb4YuToMVxy9bUsOfEUNBoNLaa+6caNnjqTXRvX\nUlmUR2tjPRExkkaqIAiMmDabjd9+ROGOTVjNJmDgL4hNRgMPXXshbY6Stmvuf5Ks4YENWnTOeByS\nmsya1x5j0WW3siuviA++/xW90cR7j9w2KC7S8twyzEckxXLDBz+6Xqus73MQcW9xGfsra6gybqa8\nupbKmjrKq2qk/9W11NQ3+iVTR6PVsuSEkzn7wouZNGUaTcbeZ3yOnuoax/O3bfAIIrrrIuZtXjto\ngoh/fPcFP37yLgDjph/MaZdfH/A2uPd9QRBYeety4kLU3P7Ma9Q3tXDUJTfz2VP3MHdY/5aZdpeO\nTMSs+Ghe+NVVZdBfmYiiKFJaWc3u/CJ2l9SwJzef3fvy2JtXSLte3+X2SqXSI5NZoVBwwqlLuWL5\njQwbMQKgT2N+YloGsclpNFSVk7dtPUecebHzNZVaw4hps9m99kdyN/7er5qkPcFsMvLMrVdjtZhR\nKJVc8+AzhIb17Xqvp0RGhBMZ4TrmUfMO4Zc3nuT4K2+nvKaO59//kpKKGt5ZeRu6gLbME1EUeeLl\nt7yW780vYlr/yQUHCRLkH4hfr08/+ugjampq/LlLD5YuXUpCQmDKLv7JHHf88dTU1nLiiScOyPHl\nCsJEYOHChdx8880ccsghgW7SAZkxYwZ33XUXo0YNntlvgJEjR/Lggw8SExMzIAFE0djutUxf08i2\nffudz4frtFz1+S/O52X1LTRW1KNVKdH6cLnUysysCRrpsslsNLHk2v/0uK1arZakpERSkpJITk4m\nOSmJ5OQkohJTiY2L4/KLLnDO1qvVao469jjOOO9Cps+a7bypqW7zLjVuk3HkBHlXzoQRk4BPMbS2\nsGf3bhKzRtLQZgJCiM8eTW1hDjkb1zL+pMv67NQZ6sOd2RAq73LdmZa6Gp64RRLS14WGcdmDqzCi\nQm/xvqm22OV/JnriWNjZpRaQ3P5kuOTYecRoVZx/37OYzBZOu/FeVl15BsuOPNhrXWuTd9Da1ORd\ndmNu8e7LANYeOHUq1CpnxmFmRBhPfecq0RVF2LN3P2OTJX07OXdErY+Z3I6+L4oi597/ArlllRRU\n1NKm754RkCAIDElPZ9jQbIYPG8qw7GzSho8mJiaG445Z5LyRO2TOoZx3+TXMW3Cks89bbaJP98w2\nmeWdXZgBhkyY7ny8+a+/GDPnSGldvZn4MTPg24+wGA1s3bCBmBFTvLYHsPagJFau70f56vedkgtF\nUeS1R26hcO8uAI455xImHHa0bL8HiJSxue6Ji7pPN0uZvp+gU/LjM3ey5PoH2JxTwFe//sUJV93B\nBzedS6jW8/11t9+DfN+3yfRPAFHGflehVrG7wKVRWlJaze4K10TSztxSZidJgWNfY77ctyO4OTFf\nct8zbNiTL7utL9RqNclJSaSlppCSnExqSgqpqcnEpmSwZ/cunn36Kee66RmZnHnehZx8+tnExklt\ntdlF2e+91cf50HnMV0TEE5uaQUNFCbu3/MXEE86X1tObEUMTiExKo6W6nF1//c7wI8/o0ZgvR0/G\nfLn91pXtZ9V/VgAQER3Lxfc9TbtV/jMI5JgvADcuPZponYqrHn2ZNr2BxVfezps3nsfxB3tmocv1\newBDvbebrbVdfvyUG/Pl+j2AqFJQUi9JfahsdraXunQbc0prMLodV27M18ld62hdIaLmdj2bcgrZ\ns7+CnKpG9hTsJ6ewhNb2roOFyUmJjB0zmrGjRzNm9CiGjpvM6NGjOerw+eTl5aJUKll6xplccNX1\nZA2VDE863qbR2rcxP2PiQTRUfU7eto1UNbejVEr9paHNRNIEKYjY1ljPjq1bCU2Xv66Wc2eWu9YB\n0Mo4k0eF+nAQj/QOwX3y34cpyZNKr5dceA2poyf5PM+jdN779WF2Lo+PMV+Q6fsTM5NZ+9ojHH/d\nfezIK+Kb3/7i8POW8/FtF5ESG+XZhh6M+XLju8bH2KyMaPJ4/vPWPeza6y0lk5Ob5+E83YEo936D\n+nlBgvwr8GsQ8ZFHHmHLli1dr9hLZs2aFQwidoP4uDhWPvzwQDfDi8jISO6+++6BboYXOp2OW265\nZaCb4YUgCCxfvnygm+FFjiMrJSZEy/7GFjaWuC6s7aJIaWMLwxNierXvUJ2WyLAQWhw3AFER4STH\nx5KcEEtKQhzJ8XEkD8kkKSGelKQEkhMTSElMIHLICFk9sxZRw3fffI3BYCAjI5Nzz7+AY049i7h+\nGEfSx7kyUUp3byN+yDDn8yETZ1FbmENt4R6MbS2gCpXbRUCw22y8e9/1tDZKAbHzbn2QlMzBkenX\nwalHHEJ0RDin3fYoeqOJy599j/qWdq4/+YgBa1Oj3kiTQXK6jAnR8uF2T7OQgtomZxCxNwiCwIac\nAkpk3KkVCgVZ6WkMy8pgWFYGw7MzGe54nDF2Clqt1mP9dkUI7779JqIosuT4E7jqmuVMnzGDBkPP\nhfS7InvcZBQqNXarhf07NzuDiCDdbCIIIIqU/P2XzyBioFj35fv88fUnAIyZfjBLr751QNvTmdjI\nCP739F2ctOJh/tiew08b/+b4u5/n07suJTI0pOsd9BP5jmysxPBQ3tmy1+O1vNq+6+Cmxnv+XiTE\nRpOSEEdaYjwpiXGkZWSRmpxEalIiqcmJpCYlEpM5StYMpF0RwpmnnYIgCCw44kguvPhSpsyZ3y9l\nghnjp9NQUULJ7q3YbVYUjmCKIAhkTJzFrh8/pWLP1gHPwrWaTbx777UY26WgwyX3PklsPxtK9JSL\njj+SmIhwlv3nacwWK2etfNXn5FGgqGzVY3ZE3jrOgQ6K6psxW21oVL3/XrfsK2LJrU8ccJ3E+FjG\njhwu/Y0YxriRwxk1bRaxMZ7njF4VRl5uLkVFhZyz7Dyuu+FGsrKzaTD4X181a9JMtq/+HJO+jar8\nHNJGTXC+ljnFlSRQvPUPxvoIIgaKvM1/svq9VwEYOn4KS87vf/OsnpCWGMcv/32QM297lB/+2srW\nvQUcdsOjfH7PFYzNTA14e57+7EfZ5XsLigPbkCCAgDAIytsBhGA5cxAZBkOlTJAgQf5B7HZkY41J\niuWFdTu8Xi+ub+51EBHg+8dvJToijOTYKCIzR3i9bo9M9F52AEOEqspK3vv4U+YvOAKlUkljH0rY\nDkR8ejYhEVEYWpv536r7aGusY8IJkhNf+sRZbP3idUS7nfJdG0mcfFi/tKE7/PzOC+Rvk7T85h6/\nlNnHDEzGclccOXMS3z99Fyfc9BANLW3c8eaX1LW08cB5xwfEAKMzhQ0ut8k91fVeWTkFnW4ye8O8\nyaOpaWxh+PChDBuSxoiMNIZlpJKZmoQmMVN2G1unAGIHOl0IG7ZsZ9jw/tUx0uh0pI2aQOnurezf\nuQmb1YJSJWVzhETGkJg9mprCHEr+Xs+kU67o17Z0xtDWSkh4BADFu7fz2VP3AhCTkMRVD61C2Qtj\ngf4mMiyUrx6/nVNvfZSfNv7Nn3sKOOaO5/jqP1cQGzEwkhYFDofa1Mgwfu/kyJxf09Tn/d9yzvFc\nc+oihowaQ3J8LFpNp+y6KO+Al83HTU1bWxujx47lgYcfIXuoNDnSH8FzgIyJM9i++jPM+nZy/vyJ\ncXMXuV6bPJtdP36K1Wykcu92okdOO8Ce+pdvX3qE8tzdABxz7qVMOmT+gLXlQJx8+MFEhoV6TB41\ntulZfuLAyPLsb3RlGu7pZBpntdsprG9itCMLtzeMyUxzPo6LjmTssEzGDs1k7LBMxg3LZOz0WSTE\nxXptZ4uQv76yWC1s+XsnQzIyet2m7pA16SDn4x1rviYuPQtdmDTORsQnEZ85krr9uRRvWcvY4y7q\n17YcCH1LEx8+fDMA2pBQLrn3qUE55keEhfL543dwzaMv8crnP1Ba28CCFY/z/m2XcNikwAVhy2ob\nyUiM48d3nue2R1ex6e/djBsxlJAQHXvziwPWjiBBgvwz6JfQ8vr167FYLH77mzZt4C6+ggQJ4sJq\nt5PncOlMCg9lTX6Z1zpFdc1ey3rC1FHZDE1NJFQnHxzpKRdcfAlHHLWw3wWrBYWC9LFSppVot9He\n6Cr5Sxk9GaVGej+lf6/v13Z0prJgHzardBNdsH0DP7z+DACp2cM556ael44HkpnjR7Lm+XtJjYsG\n4KnPf+bSZ97FOgDutYX1rn79Z3Gl1+v5tX03FXp5xcV8+dANPHXLVVx91oksOvQgRmSmo+mF2c/J\np57W7wHEDlKGjwWgMn8PW/73scdrGZOlTKLqgj2Y2rzLDvuTN+++BrPRQGtjHW/ceaUzwHnNIy8R\nFTd4qxpCdVo+W3kzx82dAcDW/BIW3fYM1Y2B/fxAKgHvyMJqMXmX5PkjE3HS8EwOHj+SzNRk7wBi\nDwkPD+eue+51BhD7k8wJM5yPv336Lo/X0icc5MzeKNm+rt/b4k5Jzt/OMX/XHz/y56eSxtmwCVM5\n5YoVAW1LT+mYPIoJl7L1b3v9C+5686sBca8taXRpz8odfV913/p+cmwU3z96E8UfPUnlLx+x5tXH\neO72q7ni9OOYN2OSbADxQIwdO67fA4gA0YmpRMQlAbDh87co2eVZgZY5TdIErc7fhbGlf832OmNo\nlcZIURT59PE7aamTKmXOvPEekoZk9WqfVmv/TEK4o1IpWXXL5Tx41TIAmtsNHHfXs7zzc+CuF9MT\nYnjumrOZf/B0Ssqla5yZU8az9uNXuGDpcVgs3qXtQYIE+ffSL0FEpVKJSqXy21+QIEEGBwV1zZgc\nAZyiBvlgYVF9UwBbNLgYMtZV0txU7crYUWm0pI6RXivdEdgg4i8fvMyWH7+kramed+69HtFuR6XR\nctXDL6AN6X1Z9Y7t2wJyUTkmewhrVl7HiDQpA/WdnzdwxkOvYpAJaPQnhQ79KwGcTrXu+CMT8Z/K\n0KmznY/Lcv72eC1z0iwARLudit2bAtamqoI97N3wO+u+fJ+37r6WppoqAM6+4S5GTOr9xGSgghla\njZr37ruepfMkzcld+ys46ranKfNDsLonVLfpaTNL53mxzJjf0G6k3of+3P93opPS0IZKZgmm9lbs\nbpMbuvBIkoZLzrUlAZ44WvPOC2xf8w2NVeV8vFKSagkJj+SKB59F1YsJCZAcsn/84X8B6f8zx49k\n9UPXkhwriZo+9umPXP38h9gCbNRR7Ba0V8pkv++r6du5KAgC8yaPISkmakCy6/tC5gTXGNpUXeHx\nWtZUh+O3KFK+46+Atam1vprPnpCC+VtXf8HO374HYOphCzl0yWm92qfBoGfRvNk8//QT/X69IwgC\nN557Em+tuACtWoXVZueSJ9/i/ne/CWgQvV1voLpOCpBnD0lDpVKx4tJlqHs5dgTpAwrF4Pj7h41P\nQQJDMEL3L8DXT09wSAhyIOwGb0H+7XmlzseNbQZGxESS57jQ1iqVmG02CirqMNQ0+hQrV2q8hx1F\nWKTMmmCXMXcRwrufhSanW+/LxEFOYF5OaBygvt07gFXVZCA0Y6zzeW1ZCZVNLifpqJHTKf37L1qq\nyyjMLyA0Ps1je5uPi0S5m5cQHyL7nU0yLEYDO377gfztm9m0+hvnrPyCS24lashwWk2e60dqZUT2\nZVTFK8pKOP24Y8kaOpQnn3+JMWPHybanA0FOZN9skl1XNHqLyqeHKlh95wWctPItthVV8O3GnRx/\n17O8cfbRRIZ4ZqzqZW7szC3yQvW2Hhir5DvcOLVKJWeOH8prf7vEx6N1GgpqGzHUNUlO3DI3uwq1\n/M+tQuddoqqI8i6Rk/0MQVbI3ZcBgpxAvNHHedomI8TeqJe/iYrInuh8XFGwj9oWI/UOoyJFyhiU\nai02i4m8LevQjfI21uqJyL5c35fbfv3XHwHw5aqHnN/H+MOPY9YJZ3m9N71F/ruR2S1PPfYIBfl5\n3LfyUaKjDyzb4PM7k+n7cv1eBfz34iWEKOCNXzaTV17DETc/wceXnEB2J0dkQ738pI6p0Vt8X84E\nAuQNJvbUuLKtUsPDqNMbnH0mRKXEYLWxO7eEGWmJPsd8Qek9X60I9R7zFRHy56kQ0f1MILm+b/ER\nezLJfMG+zLQa9d5jRUObiejULKrzJaOesrJy9Opo5+sxo6ZTlbuD2qK97C+tRNupDNXs6zeyD2O+\nsbWJvet/o6Iwl9CoOAyO7N9F19yHJjbFyyAmUuvd9+XG/Neef4bnVt7HUUcfy2PPPk90zIGz5AQ5\nwwUfGV1yfX9MXCg/3XURxz30BoXVDbz2w5/UVdWw6qyFaDslFxhl+n5Pxny58RqgsErq+wkhWsYl\nxPBriTQRoVIITE6OJ6e0CoMjqG+XCTDJjflanfzEnSgz5it8mI/Jjfm+Ykxy1xV6HydEd8f82hYj\nSeNnsevX7wAo3PM32Yed5BzzlSmjUIeEYzG0kbfpd8LGH+61D7m+L9fvATQyxipy527Omu/5+5dv\nyZgxnx+elaoswmLiOenG+2npdJ6Ey/R78DadWfXYQ+TuzeHhe+8mMTmFE087XXY7Jz7GfMHm/TnK\nXWMDnDR9JMl3XsTpj7xFQ5ueB9//jvy8Ip48/SgPDU5fY75cH7f7MjqM985uLypymSdmpySCxbE/\nX0ZhQYL0gUceeYSNGzd2uV6H2WiQwYNfMxE//PBDdu7cyfjx4/25237bb5AgQXrG3g6nQoXARycd\nTmmL6wY1Uqvm/dOOwBLgbIHBRMKwsc4ZO0NzvcdriWNdOkL1ewOTkVW65VcsRgPN1WUUbvkDgNGH\nHs2khaf0ep92u53/3Hg1bW2t7NrxN9WV3qW9/UFCZBjf3n4+c8dmA7A2p5gTnv+Emlb5C3F/U9Qk\nlbYdnJ5AWKcZ+blZqSwakUFtu1Fu0//3aELDneX6rbWeWSlKjZb4kZMBqM3p+kLRH1jNRvLXSje4\nHQECbVgEM09c1qeMjpxdf/PUow/z+ccfcuWF5/ulrV2hVCh49qLjuPJoqSy8pK6J4577mH1V9V1s\n6R8Km1wlnTfMHOcRdF48KpPTJwynsCHwZdaDhcThrgmUij1bPV5LHjfT+ThQY37x+h+x26w0VZZS\nsXc7ANOWnMXI2b03pSrM3ctLT64EoKiwgJDQwGhzZiXG8OPdFzE+Qyqd/ervPM5+5SvaApSFXtIs\n/baMjI1krZszs9UuctvcKZw8dnAZkgWS9AlufbvY081XoVSRPEHKQK/bswFRxtW3P9i/4ScAvn7k\nRsyOAN2ia+8nPLpnZeEd5O7eyXsvPw/A1BkHcfwpvctm7A2zR2ex5oErGOrQ3Pxocw5LX/qMJn3/\nX2MUlbl+w7OHBN7cJYgDQQCFcnD89aPj9rp16/j000+7/FuzZk2/tSFI7/Brrxg2bBjjx49Hp9P5\nc7f9tt8gQYL0jH2OUuXhMZH8ur/S44ay3mBkQlIc/z1+3gC1buBRaXSERksOvRaj3iNgEZU2zJmJ\nUr93c0DaU/jn/7yWiaKdzV+9Tcm+Xb3a5ydvv8amP38H4Kxl53PYgsA5JkeG6vhsxTkcN0PK+NxV\nXsuSZz9mv48ZeX9hF0WKm6WAeWZUOF/m7vd4/e+qeh5ZeDDxYf/e36iOfm9qa8Fq8rzRSR4nacfp\na8vR11V4betvijb8jFnvmYFnam/l1atP5uELTqClwdsBuyvMJhN3Lr8cq9WKSqXi1rsDpycqCAIP\nn300N594GADVLe2csOoTdpbV9PuxCxyZ5mFqFX+4BVIAcuuaePDImRw9sv912AYraRNck0NluzyD\n5LFDx6NyZJ7VBSiAXrTOe8xvqa1k3QcvUpLjbYTWFTabjXtuvBqL2YxCoeCxZ573coPvT5KiI/j+\nzgs52NHHfsst4dQXP6OxnydsRFGkxDFBZRPB2mnyYUtFLQuGpslt+q8gPC4JpVrSL+08cQSQOlGS\nuLC0t9BUnNPv7dE31FCTu91jWUxqJiZ9K+V5OQ6H9O5js9l48Jbl2Gw21Go1Dz7xjKwbfH8yPCWe\nnx+4nJmOvr82r5Rjn/6Akn6+3rFYrGSlpaBQKBgaDCIGCRCjR4/m448/9vn30EMPDXQTg3Qi6Nkd\nJEiQbpPjuHgZHRfFF50CKXZRCqaEaf7duilRKY4balHE6JaNKCgUJI6VgikNuVv6fXbe0FxP5U5v\nLa59a38g76+fiYyN7/E+y/YX89QDdwOQPiSDO+99oM/t7Ck6jZq3r13KefMlTaaiuiYWP/sReyp6\nHhjqLpVtBmf5lVIQKGnxzH7c39RKbbsBxb9YNyYqZYjzcXXeTo/X3DOyanOkjKya3f2nE7dvzRey\nyycddRLXr3qvV33/xSdWkpezB4Brb7yZ8RMn9aWJPUYQBO48dQH3nn4kAPXtBk58/hM2FfdvULYj\nEzErOpzVRZ7OzLtrG9FbrERq+2aG8k8maYSrlL+20DNYolCpSBwtjVN1OZv6XdespaqU2jzvQGHe\n+jVUF+QQn57V432+98oL7NomTXpdfMVVTJk+o4st/E90WAhf3rqMBaOzANiyv4rjV31MZZN3qb6/\nqDea0TvK/stlst03ldd6Lfu30TFxZGxrxtapnDtlwsHOx7W7JWMh0W7D1sNgXnfZv8k7S6mxYj/f\nPHITf339YY813T5642VydmwH4NJrljNqzNgDb9BPJESG881dF3Pc5JEA5FY3sOip99nuKK3vD05a\neBj5P39M+99riI+J7rfjBAniTlxcHKeccorPv/nz5w90E4N0IhhEDBIkSLeoqm+i3iBdAKaGh7Je\n5iJ6U3n/Z8YMduKyRjsf1+R4lrAljpWCKVZ9Ky0l+xBFsd8yVIr/Wo3YWcNGEDh46aWc/sCrRCck\n92h/drude264EqNB0pp6/NnnCY+I8LlufyKVeB7PNYdLphPVLe0cv+pjNhb1T0Cl2K1sP99H6eaW\nin/3TWVCtqvfl+3y7PfRQ0agjYgGpGBKwer32Pnuyn5pR1PFfipzPN1CQyKiOOn2pzl2+f3owsJ7\nvM8dWzbx+vNPATBx8hSuuu4G2fUCIX5//XFzeegk6WK6xWjm1Bc/Z62bVq2/KXA41IaoVF6aaVa7\nyLbK/gve/xMIi45zBiiaKoq9+kCSI4Buaq6jrbIIm9lI+cYf+qUtclmICpWKIy69jRNue4rQCHnt\nYV+UFBXw/KPSRFFG9jBuuOUOv7SzN4RqNbx14RJOmjoKgL1V9Sx57iMKa5v65XilboHD0lZvfcVN\n5TUD4hg9mIhOzZQeiCI1Bbs9XtNFxRHjuBaq3bUeu9XC36//B319//xGd5Qyu6PSaDl6+QOccv09\nqNTdn+ioLCvlpcck7bUh2cO46rqb/NXMXhGiUfPyucdyleN6p7ZVz/HPfcTqffu72LJvqNWqf5zh\nz/83BIVyUPwR4CzcIP8MBsRYxWKxUFJSQktLCzbbgbNxxo4dS2ho7x1EgwQJ0jvETqYmO3L2OR9X\n1rfKGvZsKK7g4pHShaWcmD6AKsT7Yk4VKR+YUZi8S5ZkzQp6ELTyoWWPUUaou9WHGHVDm/dseoeo\neFimS7u1YtdmItxExTUZruyl8m1rKfr1c8yt9WjTJiL6MHwRZAwmDGp5kX13g4nc37/1eE0XGcP8\nqx4gfeIsmgw2WozeQt+xId5ZpB0alx+89hJbN0gZBaeceyGz5szz+Vmu++svNmzYwFVXXimVvsl8\nP6JZvhxNTmzc3CKve3jDwROIEAQe+HkTzQYTp7zwKc8eMZNDhyR5rGdslBfZtxq7Z9iwr8yVUbqp\nog6VIHiVt23IL2NutO+bdKVO/iZGHeX93kSZz0DRA2MVX8iL7Mv/Bnc23QGol+n30nIz6th05/Pi\n7euJmncOFn0rBV//l/C04eji0zG1NlG57Vcqt65BF5dGU4vUB2wy557Ch7GKQUYQ3+Z27uxe/ZnH\na+kTZzH/iv8QFptIQ5uJCJ339lFa+expo9WG0aDn9uWXYbfb0Wi1PP7cSyiUatm+bzKZeOihh7j8\n8stJTk72OS7J9X1fIvtyff+scUPRWK3c9PVa9GYLZ7z8Bc8eOZN5mSne70Gm7/vq952NUdosVmoc\nGlx1MoEUgHV5pUwLP/A1mtyYr47yHvNFk7zLs2zf99HvRZlu48u0qkdmWjJ9v6ZFWqYOjcDSLpXx\nlxTkEZaU6VxHkzXF+bj4z+9pLthGSHw6EaPnyfZ76N2YL4oieX94jvkRieksuPZhEoaNpbHdTKTM\n+B4js8xktTsmja7GZDIiCAK3rXwGrS7Ep4HHG2+8wZQpU5g0yfEbZ/P+zvo65lub2nh80cGECwJv\nbdlLSUMLS575kJcXHszouCiPdXsy5ttljGRyy12GQgIQqlTS7rhfCVOpaDSa2ZVfzrAo+Yk0AKXO\nu+xbE9kqs6b8Z+BrzBd6ELyUHaes8n1c7nyQ6/cd1zoRQ0bB35L78r5Na0mMGIooipib69BExRM5\naiaNxXtpKd3HX09eQ0vRDpIPOwexxSjb9+X6PYBKpu+7X+sYm2q9SpnDE9I4/LpHicsaRZOMOYzc\ntQ6A0WLj4dtvxKCXvo8b738cjVbns98bDAZCQkJc78HHuGSXGds6X2N3YGn2HhstLW3cMncKaSFa\nbv9uHXqzlVu+/oNpURGEdTLwkTUP8nGxFt7m3R99nadBY5UgQYK4E9DQ8ueff878+fMJCwtj+PDh\nTJ06lRkzZhzwb8+ePYFsYpAgQXywo7DM+XhbXSMHJcQS5nCKUwDZkWFsr2nE+i82VgGISMlyPm4t\nywWgvbKI/M+fo6lgO5ooqQSobM071Gz+Hwql/0sB26r201yy1/k8Zex0Tl75AekTZ/VqfyWF+Ty/\n8j4A0jKyuOrWuw+4/iGzZ/PZZ58xbfp0vv32237N2Lhk1ngeXzIHpSCgUiiIDfG/Xtf+dumGVKtU\ncMHIbM4fme187eThQ7h84gj2NPSvTtFgJyQmwfm4oXgvdqsFdWgEqpBw9n34GM1FDg1Ox42IQuV/\n2QO71Urpum+d+5+97EaOvW0VYbGJvd7nC48+QElhAQCX3nAbI0eP8bmuTqcjJjaWiZMm8djjj2M0\n9k/pHsCpk0by3EnzUSkETFYbT2/a4xFM9QfFba6b3Aq9kaPSXMH5GK2GOJ2GrdWBMXgZzITGuj6X\npvztADQX7WLXa3dS+/dvKLVSkKHsl3dpLdmD0A99v6l4N/paV7l59swjOOnhdyWzr17w6duvsn2T\nFCA6ddnFTJpx4N+OOXPmcOjcuVx22WVU9qPZlkIQuHfhLK6dMxmA2nYDq/uhpL9c7wr6fLpgNjFu\nJfsfLJrNhWOHsrOftekGO5Gprt/Bqt0bAEl2oWTN+6y9bTE121wlxi1FOxyv+/+2s3r7rx7P0ybN\n5rgH3iYua1SP97Xm2y9Y/6uU1XjMqWcyZdYhB1y/rq6Os846k127eqcx3VPOmTGW1884irhQHauO\nPsQrgBgkSJAggSJgQcTLL7+ck046iV9//RWLxXtWKEiQIIObHQVSyVyCTsujsybz4pzpzmysMLWK\nL044jGumjKasTT4D4N+CLirO+VhfU4JotxOanIW+tpScd+7H3Owo/3MEU/rjhrKio1xOEJh68iUc\nc8cLhLoFeXqCzWbj3huuwmQ0SLpsjz/XpTunIAjccfvtFBQUcMqpp7L4rIvYk5vfq+N3h1MmjuCl\nUw7nldMWMC4+2u/7L3EEEbMjwrhg9FBq3IJDaeGhXDlpJCvnTPG1+b+CkBhXoM5uNdNaKgXQsxct\nQxfnnSGnUPk/eF69809MLQ1EpA5l7m2vMfHYsxD6UIaz5a+1fPDqiwBMnD6TMy66vMttLrn4YkJD\nQrjzzjuZNP8YPv9udb8F0RePzea/px7B6MQYXjrmEJQ+Mnl6S7HbWP7inGmcNdyVYTcuLor/nXQ4\n05Pj/B68/KcRnujKwm3K/xuAyKxx2C1mCr/5L7ZOWUgKZT+M+RukMV9QqTnkgltYsHwlmlDfWXIH\n3Ffpfl54RJo0Sh2SyWU3dV3GPHz4cM44/XTefOstJkycyINPPY/eIJ9Z2lcEQeD6eVO4+8iDOGPy\nSK6eOrrrjXpIabvU9pQQHZnhYTSZXfctSaEhLJ88msVZ/27TCfeJo8bivditUgZc9rEXodKFYajx\nllnoj/LY6m2/OB9POvEijrjpKbThUQfYQp72liaeufd2AGLiErjilnu63GbIkCFkZWZx8KyZXHzR\nRRSXlHW5TV9ZMDKDv5afzpTkuK5XDvLPRqEYHH8BKGuvq6vjwQcf5Pzzz+fss8/muuuu491336Wx\nsbHfjx2kdwRkCuOLL77gxRelC/GhQ4eybNkyJk2aRExMTJduV6NH+//iIEiQID1nZ6F0QTgqKoJh\nkeEYrDZMjhKJcI0atULBueOGDmQTBwXq0AgEhRLRbsNuMaGv3k9YSjYjTl7OppXLsFs8s5P8nZEl\n2u1UbFqNJjKWSefdzeTZh/Zpf++/8gI7t0oad0svuJQpBx3cxRYSixYtYurUqWzdupUff1vLtCOO\n47JlZ3Ln9VcR2w9i3Uc6HAwNNU1+3/d+RzAlKzzM8dyVoRXpMBJKDP33OjMDhMZ4Zvs1FWwnKnsc\nSo2OUadex98vrvB4vT+C5/v//JqhC05j7ElXoFT3LSPV0N7GfTdeDYAuJJS7Hn8OpVK+pNSd0NBQ\nbrjxRlasWEFRSRlLL76auQcfxGP33Mbk8b6zGHvLESMzmD88HXO9vCREX+jIRFQJAuNiovip3OXO\nnBCqI1yj5srJPc/2+f+Ge99vLvgbURQRBIERpyyn8eFt2DuVB/q779utFiq3/ExoQjqTL7qPsZN6\nb/ojiiIP3brcWc5568NPdTlp1MGtt97Ke++/T3t7O/c8+jSvvPMh9992A6efsLhfnG0vOGgcoihi\nrPV/RmBHJmJ6WChmm502q1RaLAA6h1SL6l+uExbqMXFkoWV/DtHDJqHShjJq6Y38/cKN3hspuh5D\ne4KxqZamgh2oQsIZf+4dTJl3ZK/39cHTD9JYL2kbX3PnA0RGx3RruxtuvJE333yD999/j08//YRL\nl53JLddeQUJ8/wX5QjVq/t3T9UEGApvN1mVQLyame+dNZ/bt28ftt9/utTwsLIwVK1Zw++23d+sa\nLEjgCMgv4Pvvvw/AIYccwq5du7jrrrs4/vjjmTt3LnPmzDngX3h4z0XQgwQJ4l8MJjO5ZdIN5AiH\nBlBpu+sSJvpf7M7ZGUEQ0IRHO583F0tlLiFxKWQetcxrfX9nZDUW7iQ0PpU5t75B/OjpfdpXWUEu\nLz0uCYxnDB3G5Td5/8D7oiMbsQObzcaq195m3KELeenN97D60GUabBhtNqoMUhAgw6H9VuKWoRWp\nCZYTAahDw1FqXIHURkdGFkD8uINJnHyYx/qKHgjddweryciwBUuZsPS6PgcQAd598j4qy0oAuOrW\nuxmS1f0JkosuvFDSRHTw+18bmbnoRC676Q6qa/1vRKLsp2BGkSOImB4WilqhoMQteJ4S9u8Omrvj\nnpFlaq7F6DCPCIlLIfvo873WVyj9O2bU7tlA/OjpzL7lNaKGjOzTvn79/H02//k7ACeceR7TZ8/t\n9rZZWVmcf955zudllVWcd/VNHHrcUtZt2uJ7wz7QX8YPZY4g4pCwEKoNriCwVqkMmk04COk0cdSY\nt835OHb0QSTPWOi1TV8yw+Wo3v4r4SlDmXnTyyROmNPr/ezdsp7fvvgAgJnzFnD44hO6vW1sbCw3\n3CAFTM1mM8++/AajZx3O/Y8/S1u7vO5hkCBdISAMuKGK888hQ7Bjxw5iY2MP+Ncbhg4dyqWXXsrK\nlSt55513eOmll7jwwgsJDw+nvb2du+++m7POOutfb2Y12AjI3U9ZmZTefdNNN3kI0AbpH0TH30Ae\nP8g/H3eh7935JdgcWofZSg2Gej25NS7h8RilCn2d57yor4tFtczNZ4gPUwE5gWdfwtWy28t0RrMP\ngWmDxXu5nCA3uITF3WlodWUYqqMSMLVIWmH1uX8TNU6aHY+ddjxVm37AUONy1bPZFRjazD5F9uUM\nJtQy5hIdWBWhjLlgJRaFEku7mXqN/MxdbLj3e9OHuwJ7NquV5++6DrPJhEKh4JaVzyKodZgc7bR3\n40x3z0bsoL6xiatv+w8vvZbJ49ddxPwZEz22kRMbNzW1eS0DMDV6L9fXeW9vbJQXCje3e3+PnSnU\n653vNMWuoqGyhQaTazuNUURf17lc0bvvq3wEXWxt3u9BJSds7stYRQZf34y8yL58v2uXMRWS6/cA\ntY6+r4mKx1Ar/d43FeygvVkvOfsB6Qsvo27PBuxmg6ONKgyt0v5svhx6ZFBrZQwb7CIgoE6fSJPb\neahReX8PUaHewUtjhGdAe+dfv/Hzp+8CMG32XBafcV6P+n1ISAg33XQTN9zgcnEWRZHX3vuYj7/6\njlvPP5WrzzgercaVkeZLZN8sY2gidz4Y6uTPkc59E3wbq9g7fQ+FzdI+M7Q6DPV68utc2Y6hVqHb\nY75c39fFepsQ+RT074Gxilxlta9qa6NMv2szyX82cr8FdY6+ZtV5Zl7U7NpM4jRJ+zZu6nFUbvgB\nfVWh83WrXYm+zYzdx7knx4HGfEVUGsOW3o7JLmA6wJgfFSpjohLp+m4aqit490mpjDkxJY2LbrrL\n4zPyZVDjzooVK3jr7bcxmVzn4aZtOzjshDM55chDeeCqZWSnJXtsI9f3Zfu9zHgPfR/zxU7GKm02\nK00O2aVEUUVhhSvzJlSplD2nBKX377ScmZYuTt58Syl3rWP3MdEm0/ftPr4beTMt+X7XIjMuyI35\ntc4xVkAVGoFVL5lzNOzdQvIhZzjXSzvyEup2r8eqd2WKGvVWbEozVhkDI19mWnLGKh3BBKsVJlz5\nLIImBL3eTK3MmB8t0+/1ka6JJovJxKv33wxIWefX3L0S6dSUjtEduYbLLr+cF198gfJySZe0ta2N\nex99ihdff5vbrruSi486CI3asx2+zLQs3R3z6+XPh+4axoH8eabr1BetVhsqlTJorBKkX3jyySfJ\nzs72Wn7JJZdw7733csIJJ7Bp0yY+/PBDjjzySC688MIBaGUQOQKSiZiUJIlOJyT0TpMrSJAgA8vO\nIpdw+fAwqbTp7xbXDWWSjAvhvxmtmy5iW8lu52OFUkXm4ms81vV3OXNoUqYzcNMXvn/7RYr2SNlk\nSy+6kvFTZ/R4H52zEd3Zlb+fO55/i8178vrUzv6m1Oi6YRwSEkKFybMcPVwVzETsQBftykyxGdvR\nVxU5n2uj4kk9zJWJ2x+6cP6gvaWZ1++XSq9Dw8O5ZeXTvSrFvOD880lLTvJa3trWzuNvfcajb34y\nqGfVLXY75UbpZjIzVJr8zXPLqgn2exeaaM9r25biHc7HCqWK7OOvRSqElRD8nIkYEp/W5+w4URR5\n66FbMbZLgYkbHniCsIieayqmp6f7vMn77Oc/uWblC1TVDW6NK/cxPk2no9RN2zFCFSync0cb5er7\nraV7sFtcQUd1aCTpCzvpyPrZWCVl9vEoNX1LTvnfm6uoLpF+q85ffgtWq7XHY3NISAh33nmX1/Ka\nunqW334vE068mA+//3VQj/lytOkNvPXNTwPdjCCDhIkTJ9LQ0HDAv54iF0DsIDU1la+//poIx2/R\n448/3uu2B/E/AQkizps3DyDotBwkyD+UncXS7KpWoSDdkU28vck1uxwsZ/ZEE+FK6Tc1VNCQ86fz\neUTmeGInHeV8LgzCYEpZ/l6+fPkpALJGjOKC5SsOvMEBWLRoEdMmjvda/t87rubP1x9j+tgRvd53\nICgzumbl03U6ijqVJ0UG3RGdaKPjPZ63FO/0eJ44YwkhycMAEPrBWMUfvPf4PTTWVAFw9R33k5Sa\n3sUW8uh0Om6+6hKv5bOmTabkh7e44+IzBnVZZIXJREfeSVaoVMZf7RZcCQsGU5xoozz7fWuRZ7+P\nGDKW+GnHOJ8PxgD6um8/Zee6XwFYdMoZZI8YTVtL77QGb7rxRkJ0ntmnGo2adW8+wdfP/Ifk+N5p\nZgWKcpNrzE/T6tjmNmEapR58391A4j7mi1YLraU5Hq9Hj51L5IiDnM/9Xc7cVyoKc/nhLUmzP2P0\nBGYedgTLjprFmYdNZdMfa7rY2pMzzjyTcaO95QTGjhrB1WedyKFTJwzqMV+Od75dw9ptu7teMYj/\nEZA0RAfFn3TeKpVKYmJiDvjnb5KSkjj55JMByMnJoaamxu/HCNI7AjKaX3jhhaSnp/Pkk0+i1wel\nYIME+aexo0gKIg4LC0PpuAgqc8vQCmaleOIeRARo2Pmrx/PU+RegDJHKmgZbMMVqtfDqf67HZrWg\nUCq59ZFnsdtsXHLCkbz82AOUFhX0aH+CIHDX9Vd6Lb/m0Zf4fesufzW73yhx9PM4tZowlYo/O4lK\nhweDiE7cs1IAard7ZjAICiWZx14DCH7PwPUHW3/9gXXffQbApDmHc8wpZ3L5KUdz3/WXs8WhE9cT\nLjj9ZIakepZurt+yneWPvDjoM1L2u2VfZYaGYLDZMNld5WxhwX7vpHO/NzVVYajzdKZNmX8eqnDp\nBsvfmYh9pamumg+e/A8AUfGJXHHrvbz65IMcP2MUt1x0Rhdbe5OcnMzly870WGY2Wzjjlocor/G/\nJqi/qXALIqbqdOxrd5WNBsd7T3SdsnAr//zY47kgCAw5+ioUHdmCfs5E7At2u513HrrVea1z9q0P\nsX39WgBqKsuJTfDOJD8QSqWSB273NpNpaGziiFlTSE38Z7kp2+12nvvga3bl7+965SBB+pFRo1wG\nbpWVlQPYkiDuBGQ0Dw8PZ/Xq1TQ2NrJgwQJ27NjR9UZBggQZFIiiyK5iqZx5hKOUuVSvx+SmExMu\no1nzb0YT6RlENDVVezxXhUaStuAiYPBlpXz7+ipK9kkzz0efezljJk5h85+/s3fndt5+4SnKinsW\nRAQ4+vC5TJs4nrDQEN57/nFUKhVGk5kTrr9v0Jczd2QiDnFk4O5yy0oBiAgG0J1oO91QGqqKvIJl\nYamjSJi+eNAFz1sa63nzodsACIuM4rzbH6asuJDd2zbz45efkLtnZxd78Ear1XDL1ZcCcOd1VzBu\nlJR1+/Jn33PL068N6kBiidskUUZICGvr6z1eDwv2eydKjRZVqKfWXVP+Vo/nKl046UddBgyu7HNR\nFHn74TvQt0rj2rm3PEhYRCQbf1+D3WZD3UsDpBuuuJDwsFDGjRrBTVdeDEBReTULL7+D6vrBXc5c\n7si4jVWr0QiCRwZuN+Tx/lV0DqC3V+R7raOJTCB1wQUAToOGwcAfn79H4U7pPF1w+gVkjBrHpj9+\nASA2IZGho8b2eJ9HLziMuQdLmZdDUlMAqKqp5ciLb2ZvUYmfWh4Yfly/jdz9ZeQUlfxjjPD+fyFI\nGYCD4W+Az1t3jV2NZnBdO/6bCdhV4JgxY9i9ezenn346kyZNYtSoUYwcOZJQR5mMLx588EGGDu2+\nK2KQ7iN3LfTPSrQP0p90iNzvr2mgWe8IpNjVtFXr+aquwmNdjUHGXMJHYFEb7Z2NLCfuDD0wmPAp\nsu/dyy02+bsAo8xFUptR3lilQUZs3Ogm2C5oPG8ozU01GNtd+zLqLWgy5xCSthqLRaC9xeRTZF8h\nIxSusXT/gq7Rh8h+s977PezbvYNvXnsWgNThozli2VVYbCJ//rwaAK0uhAkHzcFiE2VNa3x9DwIi\nd113OZ98u5pTFy/EbrdxztU306Y3sviae/jp2bsZNzQDkBcbN7fKC5CbmryXG+q9+5LBl8h+m/f3\nK3a6S+zQw0oVNDTUtFPpdjEjALZGE52PqJT5zNUR8iLolnbvtml6ILIvyHwRvm50rTIv6H30JTkj\niWYfRkMdfV/RyWDCbjXTtL8QXfwQj/Wip59O084faG+R3qdN5pxU+Cj7slq6P2HRIPM9xMn0+3az\njdcfvI2WBilL6rTr70UTlcCf377rXGf63AW++70vRDvnnXoCT770OpefezqXnHUa8085l/ziEp58\n53PCtWruuOBUwLfIvrmle0ZDcmYPAHqZ88FqkP/O3Y1VChzHSFCpEZos/FTuWUKkarWit3ZvzNdE\ndm/MVxvlfwd8Gkx0E4sP4x45U6FWH6YEXY35msg4rHrXBENTwQ6ixx/tOpbBgjb9IMIyp2K1gKHV\nhNWHwYUgYzDhnzHf++Zr7fdfsv13aXyffuRxjDz4cHL37KKxrhaAqXPmOz+/ngTQEmNjuPqCcwgP\nC+WmKy7CYDDw3GvvkLu/jKOvuJ3Vz95DXJSkcyU75sv0e1/XCXImKnL9Hro35pe1SdsmKzWsL6vF\n/VtqMpi8DIUAlBqZ3+kI7/XkTDMAtCbv9yBaujb+cq7rY7ncd+bLTEuu78uN+e79XhHqOWFqaWug\nvbEVhVrrWFfaPnTYAkJSf8HQakFhMvXQTKv7Y76cCYvcb1lFeTmfP78SgNiUIcw/92pa9Ea2OTIR\np8ye55goF+mJnYggijx4243MWXIazz50Dztz9nHnw09QVdfAERfexOoX7mdMtvR7KPoY7+SuCeTG\n/L4Yxh3oWB397tn3vpCObbaQV7SfMVnesjRBs5UggWDtWum8VKvVZGRkDHBrgnQQsCBiXV0dF198\nMT/++CMA+/btY9++fV1ud+ONNwaDiEGCDCA7il2p40O1UjbW2tYmj3V8mOr9a1GHe15YW/VN2C0m\n54U1SGU+iYddirEqN9DNk8VmMfPO/Tdit1lRKFWcc/tjqNQa7HY7G36Txu0pBx+KVtc7EfOjD5/L\n6OHSWL70uGNo3p/HlY++TENLG8de/yA/r7qHYZ1cOweaFpuVFkcAI02jZXN7s8fNmgi026yEDbLy\nxIFC00kbDqCtdJcziNiBUhtGzOTFgWpWl2z58Wu2//o9AFPmH820I5cAsPE3qRw7KW0ImcO8ta66\ng0aj5rNXnyUhThoTfnj/VeafcAYl1XXc9+pHhIXouO6MJX54F/6l1OKYONLqEEWRHe2tHq8Hx3xP\nNJHxHkZC+oq9XusIgkDS/Esx1Q+O8kBDcwOfP3EPABExcZxy3d0AHlpwMw6d3+v9X3fJebQbDAiC\nwBP33Iq+rpLXvvqZXQUlLL7ufr5/5i6iwsP69B76gwqrFERJVWv5o9O1ToNFfiLl34omstOYL4q0\nl+cQkTXZY7EgKEg+/EoYJL+Vnz91r9NE6OQb/oM2JJTCHZvRt0nj3NQ5ve/3B02dxAVnnsqCQ2dz\nzBGHSQZzDz1OdUMTR11+Bz88fx9jhw7uQMje4jJWr9/mfL67oIQxvf9IggTpNT/99BM//SRdiy1Y\nsICwsMH3m/FvJSCjeXt7O7NnzyYvTypbU6lUZGVlERMT06XrYXh4eCCaGCRIEB/sr3G5bWXrQqiz\nmCnplClVYpDPgvm3og7vJC4sihiq8ggb4jmTq4lJRxWRyGBgy6cvU1EgTewsOu8q0kdKpTz5e3ZS\nXyOVY8+af2Sv9y8IAkMzXcGki447gpZ2A7c+/w6V9Y0cfd39/LLqXhIOsI9A02y3kqLSUG01k67R\nsaa53mudrS0tHBoTK7P1vw+5IGJ7yS7ipxzttVwxSMqZ2xtq+PRxyVUzIiaOpTfehyAImAx6/t6w\nDoCZ8xb0SRB/zIhhzscZaSl89/RdLLjiTqobmrnlubcID9GxbGJq396In0lWaWixW8nQhlBoMjiD\n6R3kt+tJ6+WEwv9HOgdTLM01WNoavCaUNFFJqCO8z5OBYN3rK2lvlkqLT73hP4RFSb9bmx0lnRnD\nRpKUNsTn9l0REx1FTHQUII3/z914MUaTmfd++IOt+wo5/saH+OaJ2xkcI4GEyW6n3iYFCpNVGr5q\nrvV4vc5ixmCzEaIc3BIuNpsNZQDaqO0cRATaSnZ4BREBNDFp/d6e7rB/0xp2/iFl30498jhGHzQX\ngNxNa53rTD740D4d45kH7nKWXa646hKEllpuX/WWFEi84g5+WHU/IwbxRMzzH3/n8XxXwX5OGaC2\n/GsRQBgk40x/GSJ99dVXtLS0cMwxxxAb2yn5wmrlrbfeYvny5YAUO7rvvvv6pR1BekdAgoirVq0i\nLy8PtVrNypUrufDCC4mMjOx6wyBBggw4Vy0+lHMOn0FueQ3mt9bzU3OD1zp57fKleIONzRs3sC0n\nnxFjJ5AxdDiqftL18goiAu3lOV5BRBgcwZSa/N1s++J1ANJHjuOocy93vrb+l9XOx7MO630QUY7r\nz1hCS7ueh978jP2VtRxz3f18t+JMEiIHx0zjELWOV9JGYxHt2DUKHqoo9Fpnc3PzoA8iVlVWcv01\nVxKdmEJG1jAysocxJCub9Mxsvx5HEx4j6ee4GXC0lQ5e8xxRFPntv/ejb5VcaM9Y8SARMZL4fe6W\ndVgcZV0z5i7w63FHDEnhf0/fxRFX3k1DSxtXP/Yy2ktP4PRDJvn1OH3htqQsAFQ6JW/VeguZb2tp\nYl7c4DcKeGnVc+TtLyVr2Aiyho0ka8RIovvhfPXKyALaS3cTPcY7GCEoBv7GsGjjzxSulzLMJ88/\nminzJfdoQ3sru7duBGB6H7IQ5VAqlbx825UYTGY+/3UDf+3cx8m3PMJHVxxPiGZw6ETaEDknKolK\nq5lQhcIreG4Htre1cHDU4HaY3rc3h9NPPpGomDhS0oeQnJZOStoQklPTMYXFEZecRnR8YpeJHF0h\nm31e0nP92EBh1rex/o1HAAiNjOa4q253vrZv4x8ADBs7kei4vk1ndtZtu2nZySgUArc++yY1Dc0c\ndcUdfHvbeYwd0jPzlkDQ2NLG29/94rFsd+E/S88xyD+DjRs38sADD6BUKsnIyCA5OZmEhATa2trY\ntm0bjQ4jQ51Ox+uvv8706dMHuMVB3AlIEPGPP6SB+ZZbbuG6664LxCGDBAniR6JCdcwYkcGfrOfP\ntiav13e1tSKKYp+ydQLByNGjufDcs6irqUaj1TFs1BhGjp3AiLHj0aQOY8iIMehC+x7AUmp0KLWh\n2EwuzRt9+Z4+77c/sJpN/LLqTkS7DaVKzTl3PIrSzTl3/a9SGcHwMeNJSPZ/ttTdF55Gc5ue5z/9\nnr37yznp0Xf45tZlRIXq/H6s3qIWFGwxtGOUEcTb1NIU+Ab1kOSUFOYfvoA7b73ZY7kgCMQmpZKc\nkU1yRhZJGdkkD8kmaUgWVnUsqh6aKggKJZqIOMxu2TuWllrMzdVoogbfzdK+X76kZKt0fTLz6JOY\nNO8o52u7//oNALVaw5RZc/x+7HFDM/jmiTtYeM1/aNUbuOy/XxCq1XDc9DF+P1ZfEASBPzuVdAJs\nbG4OfGN6wbHHHc+82QfR3uoqx46OjSNr2Ahi0oeSkj2M1KzhpGYPJz4lvdfH0UR6B1TbSnfKBhEH\nGmNrE3+++jAAYVExnHr9Pc7Xcjevw2aVtPGmH3q434+tUil5655rOe22x/jfuq38umUXZz9t5L3l\np6MdBM7HoQolp0dLY9WrzfIuoBtbmgd9EHHsuPHcsOIWbrruWvbtkZ/IUarUxCWlEJ+SxshJ0xm1\neBmakJ5d/6hCIxFUakSrq8zbUJGLzWxEqRk8v+EdbPnwOfSN0u/TcVfe5pw00rc0UbpXMv2cesi8\nfjn2DeechCAI3PLMG9Q2NnPMfa/w7Z0XMm7I4JJxef3rn9AbTR7LdhUEg4hB/M/xxx9PRUUFP/zw\nA0VFRRQVFXm8Hhoayoknnsgdd9zB6NGjB6iVQXwRkF/sVsfF25FH+jeLJcjAEjSp+/+NXe8t+lzd\n0MYOfavX8gaLhb3VTWRpXeVtKp388GKOlxEblxF3BhBlxMZ7IrLvoV8nilgsFk44+wJeeeIhzCYj\nOTu2kbPDpfsiCAIJ6ZmkjRjLkJHjMMdkkjZhJopOmSN6g4zYeCfxblVYjEcQsb0sB32rEUFQYGrz\n/gxtVnkxbKVMpqJVJ3+hLyfIrw2R/x46xMa3f/gcjeXSD/eR519DTMYIDA4R/9b6WvbtlD6f6fOO\nxOgmht4jl0q7lYL9pQxzK2cW3d7vY1ecQWt7O29//wfbiys55dF3+OSapYQ6slPMLfIC5HKGKXLL\nfJlOtMsYG9h8OGf82l5PiKDA4CYkHqVQUmEyUVjTQqqb3qVa5jMPifEh9C/z3kJM3u31KbJ/AGFz\nvV5PUUEBBQV5tLa2otFqMbsZw4iiSH1VOfVV5ezeKJVyRcUnctSZFxF70LFoQz37U7NMvwc8TIPU\n4Z5BRICG3O1EjZ6PsV3+e7DL9H1f2VpWi3cJra/JC43We78d5gFtdZWsfeMxAKLikzjmittpN0uv\niaLIrnVSJsaEg2YjaEOcfd/Wk47v47vpuOGeOiKDzx++iSU3PYzBZOb8VZ/w/lWncvg4lw60nBGD\nnKC+sUl+DDU2mryW6U3y5iFynlONLW0UyfTHMqORwupmUjSufu9rzJfr+3Jjvl3mOCDf9+UMhQCn\n8Y2+vZ39xUUUFxcxfvJ0Nvzhyqxpaqhne0M9bFrvsW3ikCxmLltBxuTZXvtt6WrM13oHlVqLd6J3\nGLKY9d7v12aWf79yfd8fY35H3//rtUcxOKQZFl91B4qwGNocfWLHul8B0Oh0jJpykIcJR4/cxGUM\n0Dr6vVqA9++5hhNvfZRftuxm9Y58znv2I16/9CRUSikzrrv9HuRNVPo65ouiyB8tTYQJCtrdzuNw\nhYKNjY0Ywj0DPyqZz1zXzX4PIBq9qzncA3OeL8iPK2azmbzcXHL27CZn925y9uxGEASf35vNasFs\nNjF1/tHMPX4pOXUmzJ3M5OTGfPfxHkATEY+p0RVwFe1Wmgp2EJYxxeeY76vvy2HVectaKXyIssqZ\nsHSYw9Tn72DvT58AkD15FqMOW+I8J3avX+v8nMbPmtup33e7qT6vT+2OMey6pceC3c4tz71FXUs7\nx977Ct/cfC5j012yNnKmQvLXNfLXFFYZgxylD9OrzqZ1VrudFz75zmu9wvIq2tvbCOvCDDWIPxFg\nEGStA/3mzjxjxgxmzJgBQFlZGeXl5dTU1KDRaEhOTmbcuHH9VjEWpO8E5JsZPnw4v/32G0aj/I9n\nEP9TUlJCSkoKavXgKBHpoLy8nJiYmC5duQNNWVkZSUlJg+7zqqqqIiIiYtAIyW4ytRGOglbsHgG6\nMEHB5vYWjyBiIDGbzVRWVVNeUUFFZRUVlZVUVFZSVFFLVWUFVZWVVFVWYDJ531C7I4oiNaXFtLc0\nE58yhNixmV4BxO6iCovB1FDufG43tWFprEAT2/tsF39Tl7eDvd9LDrSxQ8cxb+lFHq/v3fCr8/GM\nPpYyv/vZN0yfNI5jDp/r9ZpCoeCFGy+ktd3AF39sZn1+Gcte+px3Lz8ZjWpwXERN1YSjEQS+NzQ6\nlx0SHs0h4dHUWy0eQcRAYrVa2V9aRl5BIbn5BeQVFJJTWEJhQT7lZWXd3k/ikCwWnXMZs48+EbVW\nx99lTb1qjzrCPSNLAEQM5XuIGj14VNlFu531r9yL1XHjfsqKhwiJcEms1OzPp7FaOnen97GUecvO\nPaQkxpOaJK99OmfSaD66/zpOvvUxzFYbZz//CZ9cezqzRw4O4f31plZSFGoq7a7AQbigQK2Qxvwl\nmoFRMRVFkdq6egqLiyksKqaweD+FRcXkFpexf38RNdXV3d5X+vDRLDz7Ug46cjE7KnsnzeHZ7yXM\nDSXYDC0oQwaPfE/59j/Y/9f/AEidfCiTDncZHImiSK6jpHPCjNlotH3LJPvsux856Rj53w2dVsMn\nD9zAkptWsm7nPr7Zlsvlr33NixcuQdlP+ls9oUW0cXZ4IhuMLawzuyb9bojPoNxqotlmJWqATELs\ndjv7S8vYvXcfu/fsZVfOXnbszSM/Lw+rVX6CoDPRCUkce94VzDv+dNTO7/nA10e+UHcKIgLoy3YR\nljGlV/vrD+xWC9veehhEEYVay+Jr/+Mx+ZS/WZpE04WEMnpy30omu6rKue6MJQgC3PzsW9S16jl2\n5Vt8s+Icxg2C0uYfc0soqaojMiyEFrcAsCiK5OTmM33yxAFsXZD/z6Snp5OePnjuj4J0TUB+Ac89\n91xeffVVvvvuu2A2YgD49ttvueSSSzjjjDN49dVXB7o5Tv766y+OOOIIDj/8cL7++uuBbo6TXbt2\ncdhhh5Gdnc2mTZsGujlOysvLmTFjBmq1mv37B4ebY4ZKy92xmdzQ4Eo51wkK3ho2nt0G/+siiqJI\nc7uBivomx18zNT9tp6yqhvLqWiqqaymvrqWmvrHrnXWDjNETmXfKuUxdcCwarY7tJb3fr5wuoqEq\nZ9AEEa0mIxte+Y90Ua3SMPOiu1B2mvHL+UvK3omKjWPkhMl9Ol58XAznXnsbf331LiOyM71eVymV\nvHnHFZxw3X38sqeIn3cXcslrX/HKhcf36bj+4mBdJL8YmzyWRShVTAvt/wCBKIpU1zWQW1zq/Msr\nLiOvuJT80gos3XQM1epCMBk9M0CGjBzLscuuZNrhR6Pwg4i3uzacoFQj2szoK3b3eb/+JHfNJ1Tv\n2QzA8PknMeogz5LTvet/cz72R0nnqZdex88fvIZOJx9oPvKgSbx2yQkse/EzDGYrpz/7EV/ecBZT\nslL6fOy+Mk0bzkhVCHc0uX6D4pVqns4eTb6xfw21rDYbJTWNlNVtorCkgoLSCgpLyyksraCwrIq2\nPmrxjj1oDgvPvpRxMw91u+nv3T7lNBEBDBV7CB82q5ct9C/m9lY2vyGVMatDwpmx7BaPYEdtSQFN\nNRVA39xpO/hy9S/UNzVz8ZnylgxhITq+WHkTi664k63FlXyycTehWjVPnu1txBRoohQqDlZF8o3e\nUwM6SqliZlhUwNpR39TMrrwiduYVscvxt7ugpMu+r1KpGD5iBO0GE6XFLi3f+MRkFp57GfNOOMMt\neNg33APo0phvQV8+uLRwc79/hxaHpvGYJRcSl+a6BhFFkYItfwIwbsZs1Jq+TQj+8OsfTBwzmtRk\n36Z5y09fgq2uitveX019RyDx5nMZP8CBxFaThdVP30l9cytn3PUUAA9fcRYvfr6aXTn7gkHEQDNY\nMhEHwcROkMFHQIKIc+fOZfny5Tz//PMsWrSIhQsXBuKw/1pCQ0MRBIGQkMHlnNjRHp1ucOmkhIaG\nolQqB112pFarRaPREBUVhcViGRRZkiPUIaw3tngs0wkC4UoVM8N7fmFtF0V21jbSZjJR2dxOVUsb\nVc1tVDa3U9ncRlWrHr3JRxlnF+h0OpJSUklOSSElNY3klBSSU1Kx6iJ5aMXVTt0ntUbD4cecwMTF\nZ5A1dnKvjiWHKswtiCgoQLRjrNpL1NjBMZGy49Pnaa0uBWDiyZcRleppsmE1m8jdJF1YT5+7oM8C\n7IlxsTS3tnHqpdez9vO3kRudtBo1b116Iqc88xEbCsr4aus+luv+x91Tx6AYBHqbVTbPvhju5wu8\ndpOFwvomKhvayK+oIa+ilrzyGvIrammRKYeUIyoykqEjRjJs2HCGDpf+hg8fSfbQoVyzfDnffvIB\nAFNnHcKyK5YTNmqGX7VMPZxnHSUwlqYKrO2NwMCP/S1VJWz74FkAwhNSmXr6NV7r7Nv4OwApGVmk\nZg31er0npCYmsHHbTq64/T5efew+n5/1sVNG8fz5S7jsta9oNZo5+akP+OamsxhotaxMlY6fLU0e\ny3SCAp1CyfhQ7zLDntJuMlNc30JxQzNVOSUUV9dRWFlPUVUdJbWN2Oy+y/U7k5aSwpDsoWRlDyUz\nK5us7Gwys7IprGniqjNPAECpUnHk4hM54+IrsSb4z1hIGRLpDKAAzjF/MAURt3/4NIYmSWpgypnX\nERLjmUXakYUIMM0PQcSUxHiuvetBxowYypwZU2XXiQwL5ZPlp7PksXfZXVbDW39sR6dWsWLC8EGh\nsVxr9xzzQ/vppt5gsrC3rJpdJZXsLqli9/5KciobqKyt73LbjPQ0Ro2bwJix4xgzbhyjx4xlxMiR\naDQaTjj+eEqLC4lLSOL8K5dzwpnnktfcvWzF7uIRQBeUgAVjdR72HpQs9yetVSXs/UYyjotMG8aI\no870eL2utJAWh3nU5Nl910NUCApOuvAq1nzyJqEHuA+7auEsBODW91fT0GZg8cq3+HrFOfhfebr7\nnDZpBEmTx/Dsx/9zLjt74aFcfNwCcmwRA9iyIEGCDDYCEkSsr69nxYoVhIaGctxxx3HGGWewdOlS\nRo0a1WXgJj4+PlgP30Pmz59PXV3doPvcJk+eTENDQ5+DEf5m6NChFBcXD4oLVnfi4+PJyckBGBQB\nxA4qOgVSdH3QyhCAs7/+A0sPbhQB4mOiSUtKIDUpgfTkBJKHjiI1JYW0lBRSU5JJTU0hJjqaerzH\nl1ff/RCb1UpSajrHn7mMxaedTXRcPDur23r9PuRwz0QUlGpEqwlj5V6/HqO3NBfuIPfHDwGIHz6R\nkQvP8Fqn8O+NmI2S5s5BfnBlToqXshV25xZwyYp7eOuGs2XPuTCthg+uPIXjnnyPnaU1vLduJ+p2\nI7cfOmVAz1GbKFJt88z460sQMb+plbXlNVTuLqCgronCumaqWruXBaVRqxmekcaIrHSGj53IyOHD\nGDFsKCOGDSUhPo4mdbTXNmazmT9++oFDj1zEssuXM2GapEOzy9/93i0rRXTT7jJU7EGdKh9ICBSi\n3cZfr/4Hm1kKyM66+C7UnYwEjO2tFO2QshSnz13Q5z6XGB+LQqHg7U++YuKYUSy/6Byf6542azx6\ns4Xr3v4fje0GTnryfd49YT7ZMQN781bdacwP6cOYL4oit6/dRulPGyhuaKaurfuBBq1GQ3Z6MkOH\npJE1cixDszMZmpXF0KxMsjMz0Ol0NCi8P6sPbr+D0PBwjj99GUvPv5Sk1DQA9tT6r+8LgoA6PBZz\ns1RGrQqPw9pai2GQZOE25m6m8PevAEgeP4vsOYu91ukInicPySQ1s2/Bc4CUpAQsFitLL7ue9V9/\n4DM4EhMWwufXncHiR98ht6qe/67ZDM3trJgzaUDHfLNop6mTxl1YH4OINrud4oYW9lU3sLe6gZzq\nBvZW11Pc2IK9C73V6Ihwxo/IZtykKYwfO5rxY0YzbswooiIjadZ4Vz60tbVRXJDHDXc/yIlnLUOn\ncwS0mr01mfuC+8SR8x2IdgyVOSjjB9YoShRFtr39kKS7KwhMXXYrik73Rh1ZiOCfIGJ6ajJbduzi\nwutv491Vjx/wnufKhbMks5X3fqChzcCSR97m7ZMPZ2yi/x3ke0JpdR0AoTotcVERCILAQSMnD2ib\nggQJMrgISJRp4cKFbNmyxfn8zTff5M033+zWtps2bQpaeveC3mYh9rdZilY7MLphXTHYsjY7GMh2\nWY3eGYC1JhsFZs+MKJWowCAj6q8Jkw98mlo8100I0VLh0F7RKBUkRYSRHCn9ZWWnkxoXRWpslPN/\n1iEL0Go8zUasSSNljyUXm6woK+M/q97g4PlHOct3LTYRo9VbELtVRqAawCQrNu75eYkqtzLXjoys\n5kr0teVYZY4lZy4hbep906L2acLirculC/V8DzazgbyPH3FqA40/53b0ZhGwoje72rVj7RrHPlVM\nmDUXi83zw+yJyL4g2kmMi3Y+//jb1UxOieT6U72z0q16I2HABxedwPGrPia/ppE3/84jXFBw1VRP\ndzZTi7eGk5yRRJ2P77FdxknCl7GKXrBh7TRCqkwi7TJtUIV4f2chzZ7rbd5fwyPbDuzYPSQ+muEp\n8QxPiWfMlGmMzJQCh5kpSSgdpcf2VO+bNLm30NTYyHMffM3QkdJnaHG8d6NVPoAv1/fl+j2AUe/W\nHzXRrsc2izM7q3X/34RFZslub5MzUPJxs263epePK1TyTqnaEM8xqOrPj6nLkxw4sw9fii5jIs16\ni0e/z9nwJzaHocGUOYd79fseTXeIdpQKgeSEOCqqa7n5gccZNyKb+SneGZlWh+HC2dPG0NLSzt1f\n/k51czvnfPIz7x43l9Rw14SIXL+XE94HqNd7f2ftNvl3IWesolMIFJs9j6cQBdpkjidnKATeY/6m\nijrKfBguxIaHkpUUS3ZSLNlJcQxNimXUQbPJTk8hLTHeeUMu1+99GU6MGDuRz9buIDxS6jsd57hc\n33fvC+6YZfp+52XK8FhwBBGVobFYW2sx1RZhaKjFYvb+zuw+zJLk+r5v4y3vMV+r82yXzaQn/9PH\npfV1oYw+/SZaDNL53fF+zUY9RTs2AjB59mFYRbwGkp72/ZQEKbhUU9fAKZcs56eHriFEK2MU1m4k\nRqnkk8tO4rhnP6K4vpn/bslBC1zpNubL9Xtpufdn448xvxnv71w02GgTvNdXy5wPndv1UWEpT7//\nvey1hjsalZLR6YlMGDeGccMyGT8ii/HDs0lLjJOMUtLHdWqUXdbozG4XeXf1OmfwsGPMN/k4/9u6\nOeZ7jPeAoI12PbFZnFm4zYVbCfWhmWqTMVHyNebL9X2lSn6/mk5jfv32H6jLlczh0ueehDJlFM0G\nCwa387wjAzcyIYWEIdleY76v/iGLaGdIilSS/Mk3PzB6WDZ333CVrEmOxVFdcPGcSdgtVm77+Gca\n2gyc9cGPvHH8PMbGRzvXNTV79325fg9gbpf5vDQ+jMrkjH6sFkqrpIzlIYmxCDZHv+jhZH+QviMM\nlqSbQZZkE2RwMLhS1YIECTLo6VzS2ZdMRICHZk0ieVQ6KZFhxIbqPDIPosd5Bwc7BxB7ymkXXtGn\n7buLKiza7ZnrItRUm4cypu9ZHr2l7KdXnSLoY068nPCkIV7riKJIrsNUZdz0WYSG9z0TqiMTsYM7\nX/uUycOGcPjUsbLrJ0SE8sllJ7Hk2Y8obWxl1fZ9hGvUnDd+WJ/b0htqbN4X5mF9uMDLCJcy4KJ0\nGobFRZEdFyX9j41iyqwJDE2OI9Tthls7um+TaQmJSQxV97+WlyrcPYNCRJMwHFNVDsaqvYRNGDh9\nS0NNMeW/SJOXYUkZjD7hMtn18jZJ2VgqrY5x0/1ThpqanEhFdS12u50zr7qZP56+jeHpvrWvrpg/\nnTajmUd/WE9lu4Hzv13LO0vmkhA6MOXgdXbPG+AQ+paNNTk+hoyEaDJiIsiIjiQzJoLM2EgmHzKZ\n6DDviTPt6El9Ot78Y47r0/bdRR0eT0doRBkS7XgkYqrehyImKyBtkKP859cwN9cAMPrEKwmJ9S6S\n379jEzZLR/DcPyZIKYmuDLWtO/dwxZNv8NrNF/vMLkyJjuDTK07huGc/oryplWe35KBTKblw4gi/\ntKen1Mk4TGvp/c10lEbtFUDMiA5nVEIMU8YPZ1xGEuMykhmeHIdKqUTTx8yv8IgIdNbemaX0BI8x\nX7ShiR+Kua4QU9UeQkcPnHyVpa2R8p9eAUAbnciwxZd4rWO1mCnZJWmhZ089xC+ZrxHhYURHRtLU\n0sL9T7/IqOFDOXXigbWwL50/TSpt/vhnmkxmzvvyN944bi5jE+QnyPqb0hqpjH5IovckRZAgQQLP\ntm3bePvtt9m4cSO1tbWYTCa2bdtGTIxrjFi9ejV6vZ6FCxcGJAkpIEHEBx98kIaGhq5XlGHYsIG5\nYQwSJIg81Z1uKPsaRJwcH0N8irwo/T8ZVahrYBftdufsvLkmj5ABCiK2FG6jdpNkahQ7YgpZh8kL\n3teWFNBUJTn7Tp/nHw3H6MgIVCqV0z3Sbhc596GX+fPZ28lMlv/+U6Mj+Piyk1n81PvUGUys3LiL\ncI2KU0Z6G7P0N7V270yCMKH3wZTxMVGsOeYwhk/z/o2LzRx4Q43eog73vOnQJo7AVJWDpbEUu6kd\nhTbwTvN2m5WiLx6T9OoEBZPPuxOljHi+KIrOIGL2pJlodf65CEtNdGXNNLW0curdz/DbM3cQKRMw\n6+CmRQfTbrbw/C9b2N/SzgXf/clbi+cQ48OcpT/p3Pd1fbzRvn/GBGLHeN9UywUQ/0mo3YIpgjrM\npYVbvY/QAQoithb/Te2WbwCIHTmVIYfIB1QLHO60CpWa8Qcd4pdjJyd6jusf/LyeScMyWH7qIp/b\nZMRF8emVp7DkifeoNZh4dMMuQlRKzhwb+N/M+k79Xgl9CjKNi4nkvGljGJ0YzaiEGEbGRxOmkTLn\n4ieP6ktTBxQPHVxAmzgKc10h5voi7BYDCvXAnNdlq1/CZpQkC0addj0qnbe8TfmerVgdmfBZU2b7\n7djpqUk0tUj64RfdeAeZT93BQWOHH3CbS+ZPk0qbP/qJJpOZZV/9xhvHzWPcAAQSS6qDQcQgQQYD\nJpOJq6++mpdfftnrNZvNc1Jq1apVfPXVV3z99dcsXuwtWeJvAhJEPOqoowJxmCBBgvQzbXYbbaLn\noNUXfaz/zyhDo11PRDvq2Ews9UWYavMIGRX42XmbqZ3ir54AQKHWMenc23yWSnRkIQLMmHeEX44v\nCAKJcTFUVNc6l9W3tHH6fS+w5ombZcvcAIYmRPPqwtmc+91ams0W7lq7nTCViqOHpvmlXd2lxi6T\nidiHIKJGqUCj7FtW7WBEodYiqLSIjgwYTVyHeYWIub4QXeqEgLepau0H6CvzABi+8GxissfJrldd\nlEtrnVSOOuKguX47fkqSZ+nd3pJKzn/4v3x0z9UolfLnoCAI3HPcXOor6/lwbzF5jS1c/L91vHHs\nHL+1qzsYRTutncb80D70+//PqNwC6KLdjCYuy5GRlTMgGVk2s5Hib54CpPNywtm3+BzzC7ZIJZ0Z\n46cREuqfQH9KonfJ6e2vfMy4rHSOnDHe53bDEmJ4/dg5nPPNHzQazdz7599olUoOk9E47k+8g4h9\nC56nh4Vyz/QDB5L+iUgmcgIdFReaBMd7FEUsdQVoU3x/1/1Fc/5Gmvb8BkDi5MNImCAfGC/aKukh\nCgoFWZP9Z4A0JDWZXXul3xyTycxptz/BHy/d12VQ7uLDpqKvrOfeP7bRbLJwniOQGEjPZoPJTE2T\nFADNSAoGEQcMQRg87szB+7wB48ILL+Tdd98FYPTo0cyZM4d33nkHo9FbiuCYY47hq6++YvXq1QEJ\nIgZ7RZAgQbpNlUwgJRhElEcV4qbdZrehTZRKssz1xS4HzwBSuvoVZ0lb+pEXEZbgOwiXu/5XAOLS\ns0nJ8J+DaeeSZoDt+SVc/cw7B9RYHBkbyUtHzSJUpUQEVvy2hd9Kq/3Wru7QkY3lPvPWl3Lm/88o\ndS7XXnV0usOxE8y1eQFvi74yn8rf3wMgJDGbEcde4HPdvI2/OR8Pn+G/IGJqUqLXsu/W/81/3vj8\ngNsJgsDdcyazZLgkObCrronLfvgLo+3Ammr+pLM7LQTHfF+4Z+HaTW1okyQ9P3N9EfYAlJV2puLX\nNzE7pCvSDj+f0Hj5Mb+hooSG8v0ADJvmvyB1eFgoEeGeAUm7XeTcB1+koPzA4/fwmEhePfoQIh2Z\nenf8vpUfa2oPuI2/6RxEVAV1wWQRFEoUGle2oTo2wxl0MNcEfsy3mQ2U/W8VAEptGCNPudbnukXb\n1gGQMmICunD/yX2kp3hKBlQ1NHHKrY/RbpDXrnXn7AnDuXvuFACaTRaWffUbe1v9a4ZzIMprXZWD\nwUzEIEEGjjVr1vDuu+8iCAIvvPACe/bs4eWXXyYsTH6ib+5c6br1119/DUj7gpqIQYIEkcUmY6xS\naJYxQLALNMiI0et8iD5bZESfLT5E9kUZQW25Zb4E9eXiUr6coM0yIvtyQuMAFpP3+zUZZNZVasBm\nBkQUYY6LSrsVfcVuVDEZHqvKCY0DKNTe2WqiXT6IoNJ4lw2ZDBpai7ZQt/U7AMIzJxM5biHtJu/2\nGsw2DK1NlO7ZCsDQGfOw+HCM7JHEtkNbKiE22mNxcmwUt5x+NLVNrRSUVDAsNRGrwfv7NbUYGa0L\n5enZU7hy7VbMdjvX/ryRBzNHMKmTXmOTjBB8o8WHkLzMd+5LRL3K0e8UbhkXRgtYhe71fUu7fOBY\nTthclDEake33INv37T7eg9x36Uvkv7si+9Jyz3UV2ghok8qhLPpm1LEZUhZu1T7MQxu9treauy+y\nL9f3FSr5jE6DBgo+e0TaRqEk7ejrMNoV0Knvtxml97XPETyPTc9GE5Ms+3n1RGNfcHw3qT5uxB79\n4FvGZ6Zw2mEzZI2sAGx6M/dOH0e70cyasmo2V9VzS/se7ssegcYtiN0uY6AC0Gjx/rzk+j3IG6sU\ni97BL9Eu0Cyz387mQR3IGQD4EvSXxcd4J7uqzBfkawyT6/u+xnyzzHjZud+LbqZCNmMLuixHZpNo\nx1C6A3W8p3SB1ceYLyi9+77Gx/kvO+aHqdGX51Cz4QsAQtPGEDnhaAyyY76VvRtcwfP0ybO9jCWc\n76kHg35H309JiKe1zeU6LwgCTW16Tr3rGX578hYiQnWyfd/SbmJESAjPHzadS9ZsRG+1ce/efQhG\nG4dGewbsaNMAAQAASURBVDrXtsiMrf4c8ztQiILP/YbK9HE5MwyLXL8H7DJZJf4wspC73umJmZal\nG/0eQKGLwG7WA2A1trkqL6pz0LZ6Ox776vtyyPV9pY8x3xympurXN50TpolzlyFoozF3em9NLW2U\n795MTeFeANImzqLNaJEdK3yZZssudvT7DnMVd/7O38/59z3H+3ddgUKhkL3GBjC36jk1MxX7TAv3\nbdhFi8nCNdt38Njw0YwKc03QyZm6gXwfV/kYm+X64/7ySufjEKWAxdCOSqn0eZ0dpB8ZLBN2wQmU\nAaHDhPiqq67isstcOt4+dYVTJCmkvLw8RFH0i8brgRgkvTNIkCD/BGpF6aLHfVjqqybi/2cUKpcR\ngjLGZWBiayoNWBtsxjbK/veM1B5NCGmLrjngD0vRlrWShiMwfIb3xX9fSIqPRafVsnjBoQBUNTQz\nZ9xwbj/zWIalemdrdWZGYhyPzpqEShAw2e3cuT+Pffr2LrfrK6IoUi9KN6odn5xAMDPFF+6l/KLN\ngiZeKm+ztVQ4y5wDQc2f72KqkzKskmafQUiSb101Y1sL5Xv/BiDbj9lY4F3ODPDWLRdR+sHjzBrb\nte6zSqHg0UMmM9uhHbqptZn79xf0zDW0l3T0e3eCmYjyqMLcMhHNBjTxw+gYMayNxQFrh91iouz7\npwERQaUhbdG1CD6+M1EUnSWd4XGJxGf4t9y2c9/PTo6n6cvn+O6h67q1/aT4GJ6bNx2dUoEduG9/\nARtbmvzaRl80ip6BJ1Ufy5n/P6PUuSovRJsFTYJUeWFrqcJu6X7AsK8YqvKo3yrpPoemjSVmgryc\nVnN1Kd88cKXz+ZBJB/u1HUPSvHWNR6Qn8XdBCU998kO39rF0ZCZ3zZRKwdtsNm7I38ve9ja/tlOO\n0hpXJuKW3GK25wfuejVIkCAuNm/eDMC5557brfWjo6PR6XQYjUba2/v/3iggV4Innngiw4cP79Xf\nrl27AtHEIEGCdIOOks5Qt6EjJDgX4RNB7RZEVIegCJUyKKwBDCJWrnkFqyMrLGX+RWiifAfrWmor\n2fa/jwDQhoaTNnaKX9uSkpTA+888wJN3Xu9c9voPf/ZoH/NSE7lvxgQEQG+3c0txLsXG/r1JacOG\npVPeQbDX+0YZ4ioLs1sMqBMcgTLR3q99X3TLujHV5FO78TMAQpJHkDDrVJ/bmfXtvHjeAmeW49Bp\nh/q1XamJCQiCwJtP3EdMlHSz/dr//iA+KpyMxNgutpbQKJU8NXcaUx0i+2ubG1lZUugz69RfNDjG\nfPfcuOCYL4+kDefAakKhCUUVLZUQWxv3B6wdNevex9xQDkDSIWehjfUtXfHVIzdSuEnKRMyeOsfv\nmQspifEcNHk8D98ilZQWVtbyx848kmOjiOim2/iMpDienjsNtSBgFUXuKspje2uLX9vZGYtopx3P\nTNXgpJFv3Md80WZGkziy41nA+r5ot1Gx+jkQ7QgKFalHXukzeK5vrHc+VulCSBrhX93GIY5yZq2b\n1vPlxx/B3rcf4frTju72fk4bmcndMyUd4XabjRvz95LTz4HEUkc5syAIfL9pF3/szO3X4wUJEkSe\nDlPi9HRPI7oD/U73d/ahOwG5EiwtLaWgoKBXf3LCkUGCBBkYOvSx3LMPQ4O6cD4R1C4heNFuRe0w\nmbA1lx5QA7AvmBtLsRmlGyxD6TYad/0EQHj2NGImHtjkqnj7X5Tt3gJA2tipKFVqv7ZtxaXnsuSI\nuWQPSeOIKWMAeG/NBgwmH6W6Pjg6I4Xbp44FoNVm4+aiXCrM/Zfh1iCTjdVXkf3/z6jCXIExu6HZ\nIyPL0lDcb8dt2voRos2C3Wqifu2L0s2kUk36Mdf5LI8GaGusxeqQalCqNaSNm+bXdqUmJbDy1uWc\ndeKxnHfq8QD8+vc+9pZUdrGlJyEqJc/Nm86oEEkP56fGep4u299vYwm4MhE17hNHQWMVWQSl2imE\nL9qkMa3DZMLaVNZvWrjW9gas7VJQxFRXQN0mSWszJGUkcdOPP+C2jWVFzsdZU/3jyuzOnBlT+PKV\np7n4jJMIdQRU/vvtb11s5c3slATuzhqOEgGzKHJbUS672/tPJ65J9C7ZDWYi+sY9+9xu1qOOH+o8\nF6wNRT626jvu8hZte3/EWCsdK37mKWjjhvjajPbGGufjlJGTUCj9q+6VnpqMWq3iu7deZFim1I4X\nv/oZey9K1E8dmcH1Dm3qdpuNm/L6N5BYUiONJfGR4ezZX8GfuwKvaxnEgaAYPH9BAk5kpDTp3NTU\n1K31q6urMRgMaDQawsPDu96gjwSkV5x55plce+21Pv+uuOIKTjjhBOLjpVKdmTNnOl9LSgqkJ1WQ\nIEF8YbXZ5W8oCd5Q+kKhcQUR7VYL6ljpQlC0GLDr631t1if0RX/RvP0zbKY26te9IrVDG0b6oqu7\nnKGq2LfD+XjkbP+4MrsTHenSL7xgkVQy2tim54t123q8r1OGDuHiZGl2rt5qYUXhPuosPQtGdhf3\nsjbRkZEYDCL6xt2l1mZocmRkpQJg7acgot1qpm3vj7TmrKZ5y0dYW6oASDr0HHTxGQfctq3eZfKQ\nNGwMKhkd0r4QFxPNdRedDcBlZ5/iXP7yd7/3eF8RGjUPDxtJtk7Swvu6voaXKvpvUqLeoWfqHkAJ\nDd5Q+ERQShMvok363DrKOhFtWJvL+uWYhtJtNG35ENFmoWHty47guUqSrujC3bPDjRwEMif5z522\ng0vPOoWEuBiiIiM4ff5BAHy74W9ntlNPmB0Vw+2ZQ1EARrudWwpyye0nOQu5IKI6OOb7xKOUX9+E\nQqVFHZsJ9N+YD9C0+T1E0Y61tYaWv78AQBObTvxBvjPPAeqK9jkfZ0z1v+N9enISL628h7mzpnPF\neWcAkFtaxc9b9vRqf0viE7mhI5BolwKJuRa939rrTkc5s0opjfN/7s7H1hNB1CBBgviFUaNGAfDb\nb92bePviiy8AmDLFv1VkvgiIscr111/f9UqA2Wzmqaee4s4772Tp0qVcd133NFOCBAnifzqLnRfV\nNTmLewS3+1WLFVpkhJxjW32J7Hsv9yUwLWcw0VexcTnzAAC9jDmMQcY8AMBk9M4osei9y6tEhWuI\nNTdXIIS4LrRNVXtRJY51tUvGXALkTSNEH+6sqpAw9MWbsLZWY24owW5oBiDx0IsQVdGY3QTR5QTT\nK/btdD4eMnUuBrMVq48PrEcxCxlB7mOmjSYxOoKaplZe+98fnH6o9KNn0Xt/DmYfpiQnaGNpiTTz\nYUsNVRYzNxXs42pdOuGdbpzljH+g+yL75Q5zCQFc5wDyphUAUTImFxE+RNAteu8+brfImDv4QWTf\nLqMQL2coBJLJTmfkDIUAzPpONzNqV7DY2lqLpb0FVXQG1qZyrE2lGJtrENzODbm+3xNjFaVWh7Fi\nJ6LVRPP2T50mNCEpY4gcd2yX/b5k93bn49QJM53v3STz2fgS2ffRWMBNQ1YUGZaRxpFTx/Dj1hze\n+XEd95x5DOEhWmxG+f4h1/dDjPBA8jBuLM+jwmLio9oqDDoLi3XxXus2yxhByJmigPfYaBdFGjtp\ngYJkKNSo9N5vlI/z1CxjpiVnpuHrMxDlDFd8mWnJLPNlFNJXMy2vfg+gUANGRJsFc2sjuH0npqq9\n2NWusk9fY35XgT93lNoQ2os3YK7ag83YiqVJClTGzViKMjwdi9HVblmTDL2UzRcaE4+oCcNgtvk0\nohHlrSTkce/7jjH1ooWzee37tdjtIq99+xt3nXUsIP+9y/V7Y7OJWYpwlscP4Ym6UimYkr+X68KG\nkKbUeqzrq4/LnQ9yY36F6N0/BeQNhQAiZfpNuEy/93WtI3c+iL4mxWT6vq/fY7mfb19jvryZlvcy\n2X6vcY355uYqVK2NKKMysNQVYmutwthQ4SHv4qvvyyE75mtCsBlbaM/9BUVYIqby7c7s34S5l2Gx\nCNLFKfL9virfFcxLnnSo8/pPbszvzbWOVqPinJMWg2hn2clLuPuRp2kzmHj+89UcOUUKDMiZyAGY\n27z7vrndwlEhMdiTbDxVXUK73ca9jSVcH5HOMJWnuVK7zJce7mNstrR7n3uf33UpJTUNHHnr0wA0\ntenZVVDM1Mm+33aQ/kBAHDQTdsEJlIFgyZIlfP3116xcuZIzzjjDmZkolxBSWVnJPffcA8Bxxx0X\nkPYNlt4JgEajYcWKFdxzzz1cf/31fPbZZwPdpCBBgjgoqGtyPja73UzoBtcwMqgQ3DIRRVMrivAE\nUEk3O/bWnpUydgdraw3WlkoQ7ZhrJB2bsOwZRI4+rFvbN1VJenUqjZaQyJgu1u4bapWScxZImSl/\n7ilkb2lVr/ZzTnQSiyOk4GypxcRz+jIMYvfdXLtDM9JNiAJXkCKYiegbVbjLTMFuksquVI4sXEQb\n9tbefdcHwlQumaK4u1hHjTsCm765yyy9ipytzsfDZvo/A7czlxwjaS626I18+NvmXu0jVqXmodTh\nJDgkB7421vOTsefZXQeiDavThd3qNuYHyzp9IzjG945ggkIbhjJc0qG1tfg/E1G0mpxjvalCmgTS\nJgwlduqJXW6rry11Rkhih3Rt8NNXJg8bwkGjsgB448d1WHw4w3fFERGxXBkn6Ty22m081VZKtc2/\nWegtBDMRe4J7JqJokgLTHfIt0D9931wjOSu3/v0J5hopszBy7JGEpI490GYAtFRKOo2CUklkUnoX\na/eNqMgIzjpCMm75ftMu8suru9jCN4ui47kuOQMBMGDn8dYy8q3+1YTWqtVUNrRQ0+SSC1i7K9+v\nxwgSJEjXnHvuuWRmZlJUVMS8efP466+/vNaxWq18/vnnzJo1i6qqKmJjY7n88ssD0r5Befe/fPly\nQkJCuOOOOwa6KUGCBHGQX9vofNyMa1YzNFjO7BOFxqVJYTe1IwgKVFHSBWt/BBFNFTu8lhkqcij5\neAV1Gz88YDDFWF+BxSCVhoXFdu2U7A/OO8LliPj6j94/jt1BEAQujUllgcPUoMRm4oX2Csw+MpV6\nQ0cQ0QbOoEowkOIbRUi087HdLPUpdWyWc5mtpdyvxxPtdowVO72WV/30LEXvXYOhYvcBt6/f36H5\nJBCXOcKvbZNj0bRxDHEYpPz3u997XYqcpNbwcOpwYhx6Xh8ba/nD1OSvZtLkFkgx4TqfAinc/U9D\nUHVkW4nOkmaVo+/bW6tks6r6gqkmF+yeAS9LSzUln95K9e+vHFCHsX7XH87HKaMn+7Vdvrj4aKl0\ntKqhhW82eP9edZdjI+O5OFaSSGgRbTzZVkqdHwOJrTJBRNXgvGUaFCjDXRm3drNj4ig6Axz6qfZ+\nKOU3V+91HNB1TqmjUmjfvwVLi+9Anc1swNAiTbhow6P93i45Ll8y3/n4ha9/7dO+FkbFc11yJgJg\nxM4T/RBIfP/XTR7P1+4u8Ov+gwQJ0jVarZZPPvmEsLAwtm/fzuzZs0lNTXUarhx99NHEx8dz0kkn\nUVJSglqt5r333iMmpn+TQDoYlL+IISEhDB06lJycHKqq/J+xECRIkJ5TUNsESLPx7rclmmAwxSeC\nJsz52FKTg7HoD+cy0diEaPHvhZ+x3PumzG5qQ6mLJGbS4gPe/DfsXe98HJM+1K/t8sXQlHjmT5Jc\nHN/7ZRNGc++MBxSCwLVx6RwcIqX659sM/FdfgdUPOnGiKHoEzTsIBhF9o3ArWxMduk0KbQRCiHRh\n4+8bSkt9AaLJW2heE5tB5tJHCU3z7bxpaW+mvbFWWj8kNCABMqVSwUUOTdCdxRVs2Nt744E0jY4H\nU4cT5ih7etdQzUazf5xr3bOx/Bv6+v+LoHaVFtodGVmqmCzHAiv2tt5nIclhrvQOnttN7Yh2G7FT\nT3BqNMrRlOfKgvW3O60vTp4zldgIKUP/5f+t7dO+ToxK4NwYyQW3UbTyZHsZjXb/mNcEMxF7hlLn\nKmcWzdKYLyjVKCKk78ffmYiiaHdmH7pT/9db1P/1tjN4KUdL8U5nBm54Yqpf2+WLUUOSOXKalCH5\n9up1tMrImPSEhVFxnB+a7AwkPt5a6rdAotFs4Yt12z2W/bk7v18NvIL4YKDNVJx/wbFvoJg+fTrr\n169n0qRJgFS2bLVKv0+bN2+muVmSrcrIyGD16tUsXLgwYG0blEFEgNZW6eKrrq5ugFsSJEgQgAJH\nJmLn4Iki6M7sE0HrurC2NZVgyv/FqdsD+LWs025ux1Jf6LU8duqJpC2+DaU2TGYrFw17XJmAcQEo\nbevggqNmS8dv1fPlX73PTFEKAjcnZDBaJd2g7rHqecNQib2PF75G7B7l+x0Eg4i+cQ9c2E1ttG55\nl9ZtH6AIlbJVbK0ViH7MFJULnmvTJpF56ko0USkH3LYx1xVICVQGLsCyIw9Go5IyCP/73R9drH1g\nsrUhXBOWjg4FIvC6vpLtlr471zbJuJIHe/2BcQ8iGks3Yyxeh+gmr2D3YxauKIqYKr2zbMOHzSLj\n5AdRh3trZDrbYbPSVrrX+TwsJjB9X6dRc84CycDl1x255Jb1Lah6enQSi7SSG3yd3cKTbaW02OV1\nLXtCMIjYMxRKl3azzdBMy8bXad38FkKYJG0h6uudE0r+wNpYimj2NtUJSZ9E2okPoI7w3feb3YLn\nMWmBmTAFuOK4wwFoNRh556feVV64M0cbxQWOQKIJkTWmxi636Q7fb95Nc7tnQLK2uY29+d7Xl0GC\nBOl/xo8fz7Zt2/jhhx9Yvnw5Rx11FDNmzGDevHmcd955vPPOO+Tl5XHYYYcFtF0BMVbpKWvWrKGk\npASA5OTkAW5NkCD/TjqLnXcEEd3L2kASKg+REdmXEzAHiJYR6pYTFQd5gwl3zbMOBB+BIrtM8MeX\nyL7BLCMg7ktk3ygjst/unf1jcxfpdgRNRIUO6VZcxNq0HzH0wDdvNnP3ZqyttTmeCuAKFeETTiJq\n+mlYLCJ0uimyuhln2Ex6mgv/dj7XRsU7zSUsPgw9ZLX3fQSG5L4f0fG+jp0ynPjIMOpa2nnth7Uc\ntmi293uT6TMARpnlZ6iTec1ewX67kTKrmSqL1WdftHQjvlgvczMJHSL78vuVWx4rI7IP8kL7fRbZ\nl19T9ruUMxQCaJcRo5cTqAcw65tllkp9XLQYMVftkpYkTpReslkw1RY4g4p9QRRFzKWe7t4hIw4n\nZMQCrKIaOrW583uo3+26mQtPGuLxeciNFb0xl/BabLWQEK7jxNkT+fD3rXz25zZunDiU+LAQr3XN\nbd7fu1HGtCoeLReGpPJfQzkWRGqsFtoEu6wRhJzwvhyNMn1fQOrfGoX3fpst8hNKMTKi/nL93iYz\nBgMe5Yq9wddEglzfN/owzpDr+3L9XlS4Auimsq1gbkUZNwK0kWBqwdq4H2JHddFiGWOFVm+9S3tb\nDXaj5+9OyLDDiD/8Cqx2hVfft7q9t9b9u7FbXP1ICItxfh6+fiN7YyrkschhkHPBETN5+os1gORQ\nftP4bK915fq9WcawCmC+MoY2lY211mZEEZosNmS8KQAwduNNWLBjRKb9ouDTpCtG7Z35ZpHp9z25\n1ulrvwf579LXmC9nJNftfu92jokWA9Z6qfxVkTHXtV1tPororC7b7NUGmeNZm/K8lmnSphB/+LXY\nbAI2N/MXq8VzAtU9A1cbk+RhIib3G9mTbi/4GvMtZo6cNIJhKQkUVNbywldrOOn8xShkMryscgY3\nMsZsLVY7E5QRnKET2Wlt4xRNEi1Wu+z1R5hSPgBukbmG+uCXjbLr/vHXRsYO9wy6yr3fYL5ikCD+\nRxAEjjrqKI466qiBboqTQZVCVFFRwTPPPMNJJ50EwKxZs4iP7/tNRpAgQfpGq9FMTZs0M+m//KH/\n/whK73kaQamGEClzQmyv8dux7I2ukkhBG0nUwZegTZ/SrW2bC7Y69bsAQmMTDrC2f9GoVIxKkwKp\na/cUUdjQt1JMjaBgmTaFacoILtGlEXaAsqbuIFfKDMFMxC7pcBV0ywpydycX26QsXNFi6FNWoqiv\nx25wZGAoNYRPPYvQkUcidMPVULTbaM7f4nweyExEgEsWHQKA2Wrjwx19F64fqgzhPF0Kp2uTmK2O\n7vP+5LKxgr3+wAhqt4CFKH1+gkKBEJYkLWqv9lsWrq1pv+uJQkn4pNMIHb2wW32/Kc9N80xQoIuI\n9kubusPw1AQOnyjJWLz7yyYMcgG0HiAIAks08SxSx3JZSDpRir7lR8jpIUJQuuVASDIQjs/HfcwP\njXeWFottLh3ovp4DljrP8VI3/HBCxx2P0MV3b26uwVhX6touKu4Aa/sXhULBZcdKQdW88hp+L/BP\nVvJB6kgu0KWg8kPJabPZwvdb9jB12BBCNNKESGJ0BAqFwNoNW7rYOohfEZDKiAfLX5AgnQhIEPGI\nI44gPj7+gH+hoaGkpaVx7bXX0tzcjE6n48knnwxE84IECdIFBfVymUZBukTuglYQUIRJwQpRX49o\ntyGKIqKp98Ez0WZx6sypotOJnnMlqugh3d6+ce8Gj+eBKm3rILfcFUz9YGffgykhgpJTtEl9DiCC\nfCAFgkHELnH2fVdegqAJA7VkNiS2VSMaGrHmfUtfQlO2BkfGS0gMUbMvQ5vSfW239vJcrG5ZLiHR\ngZ20NFutjM+Uyq3f27YPm4+s354wWhXGDHVkn/cjItIiG0AP9vsD4TJWwZVJJihQhDuqauxWREMD\nokWPrXZPn45lbyqWdq8JJ3LWxd2eNALPks7Q6DiEAMuSDE+TJqqa2g18vaf3mqAdCILA4ZpYwv0w\n5vsKIiqDff/AdASv3cr3BaXaWdJsb6tCFEVslVsQ9fW9PoxoNWFrKus4AGETTiZk2Lxu6dk2F2z1\neB4SwCAiwBmHzSA8RHJwf33TgQ2/eoK/tHxrjUa++88V/P7IclRK6fs87dCprHvsBlRqVVAXMUiQ\nIE4CUs7c1NREfX33fzCmTp3KqlWrmDVrVj+2KkiQIN2loK5poJvwj0SQuaERBAVCWCLU5YBoQ2yv\nwd6Qh6CNRJk8uVfHsTeXgmhDkzaF8AknHlBMvzOi3U5TrmcQMTQmcJmIzXojtS3tJEaFU9Pcxqe7\nC7nhkEloVYPD9bvZxw2lJVi0c2CUKrB5lmCJhgaE0DjE5jbEtgqseZUgCH26AbI1FqGKG0rE1DNR\naA6s+9mZplxPB8rQmMAGEdftKWJcRgq79ldS3tLOLwXlHDGi+8H//sTkQwu0R+Xc/0I8xl5HEFFE\ngRDukuax1+1FbK1AEZne6+OI5jZEfR3KiGQipp+LMrT7boyWtkbaK1zloIEOntvtdj5du42U2Egq\nG1p4Z9s+TpvU/67o3cVXELE9aC90YBQqsHl+RqIoIoSnSJnnxiZsRWsQW0pQRfdei1DSFRURVCGE\nTTkdtcP9vDu0FHpm0+miAtv3v9+ym6Vzp/PqD3/yS34ZRfXNZMdFBbQNB2J4ZASjxmRjt9tpc5Te\nR4ZomZCVymunnD/ArfsXMlg054OZiAPCJ598gtHYOxOmU089Fa1W6+cWeRKQIOIll1xCRUWFz9cF\nQSAkJITk5GSmT5/O2LFjA9GsIEGCdJPCA2QiWoM3lb5ReAfCbM2lCFFZrudFP4PdgpA2s9eHsTft\nRzXkYMInLOlxQKa9Ig9Lm5sgtyAQGh242fmOLMS6FkkkvdFoYnV+KUtGZwWsDQeiyUc5sz54Q3lA\nBIXaa2Swl61ze+K4UVf3LPDnsT9jC4rIVCKnnIYgc651RVOep/ZToIMpuRU1bMzdT2SIjhaDkbe3\n7Rs0QURfGbh25LVmg0h4SFg4snZstXsRjC1SppZoR2xwBPB6MNnTGVtTCYroTKJmno+g6tmNQlO+\nZyAlJIDjPUB5fTP1rXrmjh9GZUMLO6rq2VFZx8SUwSFf5GviqAEfurT/MERR7B8XeqXaa+LIlvMp\nuJkNiS2S3r1slUY3sbeUogiJIXza2SjDut9nRLuNlk6ZiIEsZwbYuK+YmHDX5/HG5j38Z+HBAW1D\nd2g3mZ1Zh+EhUnZ1v/SZIEGC+OSyyy7rURKeO4sWLfr/E0QMEiTIPwt3AfD8Gm9R9w7KMBIhI6jf\nbpO/qZcTG5cT2QcfQvs9KPmTq7zwpatutnrv1+pDZN8sIzZuNbZ5L5MxRbG3VYO7Q6dd+jwEZfcH\ney+zlZjhCGEJWPTeJdFWo7eDIYDVIjlH1+/xdAnURcZiQQmOz8Pm4wOTz0iSv8gUbTKfo0Nkf1+J\npJNkF0VCNCoMZivv78jjmGGuLB2zD1MSOdMIuWXdMVDxhS9NxBYsNJmtshfWcn3favBh2CAjbG6X\n7fc9D1ra7XZMRiNGowGj0URpWQNmk1H6Mxoxm00UNdlJGz3Ju70y4vtmk3wbrAbvPiYKMpcXSg3Y\nOn2XPQykuPdn0S6iSJ6G1Wzocl3nMrNUTm1pa6S9PNfjNXVEnMc4INf1+2ouAS5zqPzyGoqq6zlq\nyihWb9vHb4XlFFY3khXjcnWXE9lvkxmr5Po9dN9EpTO+gogAVZgIs8qN+fLHMsu4XFiN3stkzSXw\nYSrUA001i82OxWzCbDJhMZkwmYzYrBZMtmiv81eu34N835fr9zar+3uQ2ihoIxBbSr3WRdH9vt95\nzBeVOhSZh2ExGcHk+ZqvMd9skgL2jXs7gueS+ZEmIq6TuYQfgsSyxirS97ivRPr921lUgVKhwGa3\n8/bmHB4+0jWR1t1+D/JGVt0xUPFFrY9gYS0WWi022TG/RaZtZjljFR8mYfImcvK/PYpOn63NZqOm\nqYb6ujrq6mqpq62lob6Outpa8soqaaqvp6mhjuaGepLShnDwJXcSGe9tWinX961mmesimX4PuMqZ\n3VFpwex9bdSTcd/u9jmIomTWFTJhKTbU2No9J7gtMtdhFpOUpauv2Iet0+uK0CiPMV/OU8jXNZAs\nvsZ8x+93fnkNe8uqWDB5FD9v38fH2/O4/pBJRGhd7tZyfaRdpo/7MnaTO098jc1y5xl2G23tLmOa\nCJ1auv7wk5ZrkCBB/n8wKN2ZgwQJMrgoqPet11eMnjGEBrA1B0YURV545XWam5uxhEYTGhpGSGgo\noaFhhIaFUW4Q0IaEogsNlf6HhKLRebui+gWZi2ohMh3RoWXlgVLjvaybKMJ6X37cnCeVMiu0odhN\nekIDnI21r6LW+bjjYn19WQ1Fja1kuwVTBgITdmfZciQqj8CKFajDQgK9/978jSiK3Hjnvbz1wacY\njQbM5gNnzkyfu4BZF9/VL20RVBqvMLMiYTz2Ks9MEKEHgRSvY/Qhm6WlwFskPpCZiKIokufo++Vu\nchHv7cjjtnlTA9YOXxwoiFiMgWH005jZS5564WXe+/gz2kwWTEYpUGgymmTPg8TUdG58ZBVCdPdL\ngLuLXJ8UwpMRze3OCSMnfchEVESk9mo70W6jpbDjHJTO0EBnY+U6+n1ju4GJWansKK7g6337ufXQ\nKUTpBn487Zg40iB4lPSbsFODmST6N7ujJ9TW1bPw1HPYlbOvy3UXnXoWV9zxAOvL9V2u2ytkrmEU\nKdOxl/zuvW5vx27RjjJzLoKm59ecrUWevz2asEiU6sD2t/yKGirqmzlx9mR+3r6PNrOFT3cWcN70\nMQFtR1e0GlwZpREhugOsGaT/EBC7YZIVCAZLO/5tFBYWYj9A4ozJZKK0tJTvvvuOJ598knnz5vHc\nc88RHh5OVFT/yyQEg4hBggQ5IHZRpLhRCiJGocKOSKujlFMJlGDov/KYXiAIArNnzuDwxSfQ3t71\nxXJSeiYX3Xo/pEzsl7ZI/lWuHwEhLBnR2ATGJs+VVYG/eTK31qOvlIxMFCotdpOekADqIQLsK3cF\nEc1WVybER3sKufkQ7wy5QOJuLJGIxiOwMp3owDiT9QBBEFh5z+2U1rXw5Wef+FxPo9Vx4U13ceyZ\n5/NHoe8s4z61RaacWYgZCs3FYHA7Zh+C532hOV/SQxRUGkSrGUFQoI30f1DJFzXNbbQ4btR2l1Yz\nLjGG3TWNfLyrgOtnT0SnHtjLs0ZHNpYKARUCRscYpkYYdGM+wJUXncfGLdv49KtvD7je/CWncPmd\nDxIWEcnvBb03d/CJTFm9oNKiSJ6MvcJTg7MvAfTeoq/Kx2bwnBQMeBm/25hf2yRlhhmtNj7bU8j5\nU0cHtC1ydEi0xKCm2i0rcT5xg66QPyE+jp8/f5/Fy65g04b1suuo1RquuPNBjj7tbMeSfgoiyvRn\nIToboSEfsa2TpFUvDXB6I1vRQWvRNgAUmlDsZj3aAAfPDSYzpY4Jo5+25pAZE8H+xlbe3LKXc6eN\nRjGIxlPPIOLgCZoHCfJvIjKya5O8pKQkpk+fzrJly5g7dy5Lly5lzZo1Abk+G2z3QEGCBBlkVLS0\nY3QEdyYSicZt2NCiZDFJsgL8A0lsbAwnLVl8wHU0Wh2nX3kTT3/xC9PmLui/xnQSRhYUCpSpB3mt\n1pNyZn/R7KYJJ9qkAFkgTVUAcivqPJ5rHI6An+4pwiRXBh1A3LWxQvC8edGhIE4Y+KwZd0rLK1j1\nyhsUF/t2Ox06ZjxPf/IDi8+6oH8vMpQyGVkKFcq0ToZpfcjG6i1SNpaUiagOjwVAGxmDog83qD0l\nzy0DF3DqTzWbzHyTuz9g7fBFh7lEHBoPV9pwlBxDIoOpsM1isbDmjz/Ranyfj2GRUax47EVufOQ5\nwiL67l7tE7kMK0GBIn4MaDtlBgxA32+VycANdCZiXqVrzK9saiEpTMpqfW9n/oC7v5qxO4OIuk5j\nfiQqkoXBE1ARRZFNW//m1vseZs/uXbLrxCen8ti7X7gFEPsPhdeYL6BQKFCmz/SsylCoAj4BYTO2\n016eIx1eI2XW6SID2+8Lq+qd/XtfeQ0HZ0gl5UWNLfxWWH6gTQNOMIgYJMg/i8zMTJ566inWrVvH\nypUrA3JMv05119TUYDabSUpKQq3238VRf+33/ystLS08+OCDLFmyhLlz5w50c5w0Njby6KOPcthh\nh3HUUUcNdHOcGI1GVq5cydixYzn11FMHujlObDYbTzzxBDExMVx00UUD1o7CBpfmTDRqD9U7pWOZ\ndoBnUMsrKvlt7Z/8tnYdv/25jqLiA9+EH3T4Ii5Y8R8S0wJgYiAowb00UFCgiEzDHpmO2FLmWj4A\nGVnNDldmVVg01vYmILBBRJPFSmG1Zyac2SFK1Gg08XNhOceMyAhYezrTcoAgosKH/mOgqaiq5rOv\nv+OTL77mr03eAQJ3Trrgcs699hbUmgDcFMhlmggKFOFJ2GOGIjYWSssGIBurvSzHqY2l1EplcSGB\nDqR0Cp7vqW0iLkRLvcHEO9vzOGXcsIC2pzMdTrQRqGhzOw8UCISjQjnAY77FYuGXP9bx6Vff8OV3\nP9DY5Nv8a8JBs7nh4WdJSEnr/4b5CCIKCiXKtJnYCle7rRv4Mb+lYDMAmugkzE3VQOCNVTrMtDro\n6EuFja38VVbN7CHeen2Bwt2ZWdcpz2KwjPmNTc28/+mXvPruh+zcs9fnerMPncs1D68iOi5Av+md\n+74jcCjoolEkjMVe4wh0DsCY31ayw6XpJ3aU8ccGtA35FZ79PqemgTCNinazlTe37GW+mw70QNNm\ncOmshgeDiAPHoCkjHhxjX5ADc+yxx6JUKnn11Ve5667+kSpyx69BxGOOOYYtW7awadMmpk+fPuj3\n+/+VDz74gFWrVrF9+3Z+/PHHgW6Ok19//ZWnnnqKH374YVAFEbds2cLKlSuJi4sbVEHEwsJC7r77\nbgCWLVsW8AB6h7lDQU2Tc5lUzuyi46JaTrTZ4EPIWc5IQm4Z+BDat9uoqmvkt607+W3LLn7dvJP8\nUt/u7+5kZg/ljBvuYcqcw6Xjuqloyxmr2OVUtpExNgEsBm9Bb9Fuly6sOzkW8n/snXeYG+W5xX8z\no7q9uay99rpjY2yDMabY9G567yXAJYSSBglJSC4kpJCbRgoEQgskQEihd0wPvdkGG/du7663N/WZ\nuX+Mykga7a680swY5jyPHmtHI+m19M6n7zvfed8DSGP2IdazjURfqkKQiMbmLsamE5FgMNkbq2z8\nLLo+fxMAVzGa7BuYgqiyzNptO1AMlCeSICCrKv9Ytpajx402bv6NcfP8XM33dwaJ3lglSLgyJlEi\nuQ1bjGLIZQ5j9H+TDfM+9ZrN7V08+tq7/OfVd3hr2aos9c6ESZOZOGkyry7WCIvR9WP47W13UjJt\nbyAz73OYpRgYdeQynTBqZm846YxPiKX6ecS6N4MSQyhE3htce7niikXr6FytU+DGc9NTkZ73AFGD\nXjT5CKWEXCcrCmsyiBSAuhIf7cEwy1ra+XhTM7NH1Rg22TcaWwuZ9zIqfXESsQIXTTqluTTAmJ8r\nBqMcNzQUymGsksj9WEzmtU+W859X3uHxtz6mo7Mr7TSfz8vMWXP46APt+3W73Vz3gx8x79SvIElS\nWt6Dce7nGvONct8ovxQD9bQaj1+sGItSOR61O+5Qa6DWzRdGY77x9Qihbg/927TeeZ7qhiSJKJXW\nZBgK5TDTGm7uKwq9wTDbO9LLqbf3BfBIIhFZ4cEla9h3VJ2xuUSOOUUhcz+dREzfCBHIb8yPGuR9\nrt8yYxO5VC6pqsp/l63ivmde49E3PyQUSs0pJEniyGOOxe328NTjjwLwtWu+wfd+dBOftYfJ/Njy\nGfONTORy5ZeaWdymI0DEUXuidK6HaGBYzswJGOU9gBzOnpvFojLdcfJckNxJ4yGprGZIY36u6yEv\nxKKs2dqcdmhpUztHT2nghbVbeW39NtY2tTGxusJwrhA0GJdy5b3R8Zxjs8F1psai9PSlSt7L3FJO\nkx8HDhzYBx6PB7/fz+bNmwkGg/j9xe1d7fRE/ALipJNOYvv27Zx00klWh5KGgw8+mMsvv5xDDjnE\n6lDSMHv2bL7+9a+z++67Wx1KGhobG/n+979PVVUVLpd1l+r6+IS/zOOiJJI+qZZM2p1q6w3w1tot\n/Hf1Zt7+zT9YtXGr4XllpaUs2H9fDl64gEMWHsC1N/2Cd/77Bj6/n6u+eR2XXXkNy9oHNpsoOLIm\nzLrd+brpKG2fgyANyyRiZ9C3aRlKVFuI+EdNTpKIZvbHWpWhxgJoKC9ha682gX1neyubuvswr8g0\nHQklYkUWhWhe7iewo7Obx157j/+8+g5vLPk8izic2Die0086ntNPOo7Rcw7k3r/8mVcXv8iiE0/m\nlt/+nqrqGj5u6jUvYENFlvaZCZ5SxFFzUJo+skSVklBj+eunEe3VctBncl+4tc3Zub+mvTtJoD+0\nfB2zR5mrlElAT6RU4EJPCGdfCcVFTFZ4+cNl/PuVd3nijfdp707PYa/Xy9GHHcLpJx3HoqMO5/G3\nlnHZBecwZeo0fn/nPcyas6e5eZ9DgZuANGa+tnmkyqb3ROzbtCSpxnKXpdSHZiqy1jZl5z1Ajc9L\nc3+QxRu2saPfeOPLDOhzv8QGSsTWrh7+/sKb3PfM66ze0pT22KTG8XzlvDO58KzTcI3bg5//+H8p\nKS3lt3/8MyecfEr8rOwNzGJBEKWMxjapz0uQ3Ehj9kHe9HpBSMR80bdxCQD+MdMJbPkUAG+F2UrE\n7NzvCqbmow8sXcONh+xtZkg50asjqctLHCWiZbCLEtFG/Tod5Ma6devo6+tDEARTeAOHRPwCYtSo\nUfz+97+3Oows1NTUcOutt1odRhbKy8u55ZZbrA4jCx6Phx/96EdWh8H6uKnKxOoKhBYhbZJYLHJH\nVVVe3tbCyn8389/VW/g8x8KjxOdlwZwZHHTksRy8cAFz95ydVGwqisKnS5dw1HEn8KObf8HYcYmy\nWLNJxIxPSfdjLI7eE6Vz3U43GR8OetZqah1BdOEuTxEo/uqRpsWwuqmNvSeN4dR99+CGhzXV3P8d\nOo+uYIQrX9KaxP971UbOovguY0ZIJxEzlYjFn1S19wd59tN1PLl0DW+t/yNKhvKycfQITjvtVM44\n+QT2mr1Hss9UiyDQtmMHv/njnzn9nPOsMcAw6i+oV6aM2B2lfbXpfeGivW2Edmil1OUT57LjnX8C\nFvSFM1hQKkBjRSmbuvt4Zs1mrj+g8GZPQ0FPBomopikRi7+oickK76zfxhNLVvPMsrW0Z5BKHreL\now4/lNNPPI7jjj6CivKUi/vGDeu56NLL+cFNN+Mvyd/BddgYJO8FbzniyD1QWpaaTqD3bdDaHYhu\nH0L8unP7y5A85rmvZvYCBShxSTTHv+OYovKvzzdwMmWmxaRHgkR0IeC2iERUFJU3123hX8+9z5Nv\nfURUpxz0uF2cfNwxXHr+WRx8wH6I8Z7LrUBFZSVPv/gqu82wyOlXMC5nTv5ZNRGhfTUouZ3fi4FI\nVxPRbk0F6B89TUcimrxx1JSd++9t28HeY+r4aHsb/1m+nm/vb82Yn4k+fU9En0MiOnBgd3R3d/M/\n//M/AOy+++6mVC8WhUQ86KCDkj9shUAwaN2upAMHX3YkSMRJ1RXQoqYtKF1FWlAKgsDvl65ic1+6\ni6DP7WL/Obtz8N6zOGTeLObtPgWP2406OduopL2jgz/edR8HH35kUWIcKgQhY3dev6B0+RBH74XS\nlruvUTGgqirdcRKxrHEWcrg/+ZiZiqzD9pjMtScsZG1zR5JE3NrTz4lTxzNvdC0fNrfz6OrNnDpp\nJu4C/qYMBVEUAvGSzsqs5WTxlIhdkQivv7+cJ5as5r/rtiJnEIfjRtZy2mH7c/qh+zNvxmSE6fsb\nvs43v/t9vF4LJ/+ZC0pA0Oe+6EIaOx9i5v6+JwxVAErG7JZUZvkqzcv7aExmw44ODtljMp9uaqK9\nN8BxU8ZxwrTx/HPFejZ19xGWFR5duZFjKG45ihEySUQ9irXzLKsq/12zhSeXruHpZWtpyxj73S6J\no/bdk9MP3Z/jFuxN5d6HGb7OGeecR3WNuYRwGgZRIgKIo2ajdKw1tQ+uqqr0xttXlDbOIRbsAswn\nz1dtb2XCyGqO3ms37nxB2yh68JRD2dEf5Gf/XcLmnn7+sXw9J0ybZUnfzQSJWGYwuyn2L1BTdx//\n+PBzHv5wBVs609Wz0xvHcMlxh3DuUQsZud/Rhs+/6hvfttYxPWvDNONPQUBq2A952/uYib6NnyTv\ne2tSfQe9JvdEzCTQK70eesKRpJlcfzTGf1as53CsN2zriZOIkijidTt6IwcOrMA999wzIAemqip9\nfX18/vnnPP3003R2dgJw1VVXmRJfUUYGh/Rz4OCLgUA0RlO8tHRSTQUBujOUiMWbsO4zspbmUJh5\nE+pZOHU8C6eNY+/GekYsPHRIzx9RV8fBhzcWLb4hI3NRmbmgrJuOGkw3Fyk2Yt3biXZrPdkqpswn\n2teuhSa58JZVmRbHPlO0CX3jiNR7bonn21kzJvJhczvtwTDv9HZxkMkT/kwiJZrhR1uMBWVfNMax\nL7xJJKMvU31lKacfdTCnH7Y/83efMqRNOksJRDAoWcseK4SKcRDtzzpeTPTGSUTJX4GrpDp53Ewy\npbmrl5+fv4grjt6PY2++m7c+30hTX4DDJozh0MZ6jvvHi6zt7OHhz9Zx1OSZiCYTAz3xXqASAiVI\npoz5K7t6uODx9B7ObknkkN0aOfuUYzl+wTyqyksHfR1LCUQ0ogTRla62ylRkiS6ksfuYqsKNdW8n\n1q/9zpRP3Juuz18DwGsyiTh3UgPfPOEgVm7dkSQRm/oCHDFxLO3BMD949UNa+oO8093Jwirzy/n7\nkoZCUpYDebGUiG+2tPHc/U+zeOWmtP57fq+H0w/dl68sOoT995g6KEFoKYEIQxvzfVWIo8xV2yVI\nRFdpDYIrRdB5TXRn7uoP0tkX5PtnHMG9L71HS1cvR0wey3UL5vDSuq1s7wmwqbuPvy1dw6FTdjd9\nzM9EX7ycWRQF6/PqSwvBRuXMNonjS4brr7+e9vb2vJ5z5ZVXcsUVVxQponQUlES85ppraGpqGvzE\nnURDg32cqxw4+KJDjsZY19qZ/HtCRSkrskjE3Minyb5s0LT+yumT+e3lJ+H3pA9TqkHj+lww8gTJ\n5RMSNog3FsnVZD97oyRXo++Bypm1P0WkMYUxjJIN4jJqNB7cnNqZL2ncm9Z3/gFoaqyoQpqJR66m\n4vn4ragGxip6EwWvIDCmupztnb1s7upFicY4YuxIKjxueiJRnm5t5QBPdkmzYTP7AvRAB+jWkYiV\nuGjJ6C010ILSyPgilON60Oe+H4E51ZV80N7JyLISjp81mRP2mMI+40dTd9CB8bPUtM9TUIduKmD0\nnRkZCoGxwYSRoRCAHDbYOBwk77VDAniGX7Y41Cb7qiLTuyFuJjRhLpHeFHnvKq/J+iyiBt9jPumV\na6xqqCzha0fMAznGpBHVvPX5RjZ39yWviXNmTOTmt5eyuaef99o72KcsPfeNDIVyGVntDHp3sozf\nqPk/QNhgfFcyTByml5Yyrrqcpu5+Dpo6jhNnTeHo3SdSVeKjev8DAAqa92Cc+0bmEmCc+4Z5D/GN\no9T4IRgswITKCQVZnA91zA9tXZq8X9q4J20faAYcnoraIeU9DD/31WiERXM01/GJtakS9E0dPSgN\nozh2Qj23xMf8x1ta2M9Xkfb8XPlldD3sLBKbR+W4UDL+xwMto41iM7omZYM5xQNrN/JJZ8pdfI/6\nOs6dN4NLLzuXyrJ4Sb6qDuhsk+uRzBYYkHvMlw2O55X3RqX8RqeVDd99W8lh9JF5PaiKTP/mZQCU\njJtDtDc1pxVKq4hkmS0ZfAb5GKvkGJd6+wMsvvkK9pk6njc+W0dLVy8bOnqodbs5e/pEIpEYP/3v\nEjZ29fJeRyf7VlSlPd94zM/x221wLNe5RvNxNRqhN9FeQJaJBIO4XVLO/5sDBw6sQ2lpKWPHjmW/\n/fbj0ksv5aCDDjLtvQtKIl500UWFfDkHDhxYjGqfl2/suwcbunqZUVfNCranTazFIhb4VHs9WQTi\nLokMJaJqMBkUXOb1pAKINC8HwFs7Dm91PdE+jUwx21xCjwkjqtje2ZtUInpdEidPaeCBFRv4ONhL\nUzRMvds8dZ0PkUmU0EOMClxsJ30xVSxVyv9Mmcj3TjmI+Y31SCaXcBcSZhsFDQXRjg0o8UVm+cS9\nifWnFpRm98dKYPJoTW3VFgzTF4lS5nFz0tRx/Ob9zwjEZJ7saM0iEYuN6ZRRiwdPfHzXj1jFyntB\nEPjLucfQWFtJdYm542HBIUqg49AyTZDAfNVYZIfWMsNTPRZP5Whi/V2A+eYSCdSU+aks8dIdCLO5\nR1Mj+10uTp42ngc+W8dH/T1si4QYa2K/xghKUnFejgs5i0Qsznd20tgxrAkEOHn2VM7bewazx44A\nSBGIuwoyW1jYgHSKdW1GiWpjfmnjXoTbNWd0QZRwl1QM9NSCoqGuioa6KgCm1tfx1ucb2Nid2vw6\ndfoEfvfeZ/RHYzzW2pJFIpqN3ng5s6rCB+u2csBuNqjq+ZJBFUC1iQJQddSolqCtzdgPwC6wR3Y6\ncODAlqgvL+Hq+TP5zVH7MbFaUw6kLygdDIpMIkgx3kE3C0q4j2jHRgDKJ+0DQCxezmxmX7hMTByh\nlZZu1fVCO31aauL6fE9+kv7hYgw+jmQEp1GPF4lMXU2xrHD2rKli/4ljd2kCERiyKsVMRFo+1+4I\nIqUT9konEU0ul09gss6BOUGmlHncnDhVM4J6r6+b5oh5DqsAjZQwjypmoy2yzRrz9xw3atcnECG7\nrNNkI4lMKNEQ0fYNAJRNnIscCaBEtU0Rq8Z8QRCYFM/9TT2plgZnz5iYvP9Mp7kLKA8ilzKecxjD\nbpSZRiIePnokH3/nQn554kFJAnFXhGCzMV9VZPqWPZr8u2TcnOSY76moQbDoN3ZyvXbNdQTD9Ia1\n+WCZx82p0ycA8H5vN5tD1rYF69KZWS1ettbCSBw4cGBX7OKrFAcOHJiNdCWiszs1KDJ7IlpMIkZa\nVpKgBconaySiPZSIGom4IxAiFHejnFJVztyR2kLzxZ52YvmUFRUYclZPRCf3B4SBsYrVCG/VSpm9\n1WNx+SuSPeLcJeVIJqpc9Zg8KtWXa5NOmXJOnExRMZ9MyYTqjPn5ITP3LR7zQ5vfT6rCysbPSaoQ\nwTolIsCk+Ni+RUciTqoqZ984yfJ8VxthxVw1m4RABW78BhtHxVoweUSRUq+5Tt1FQSZ5brUSURBR\n+rWxUyqpwuWvRA7EScRy6/J+cn1qzN/YnTLQOX/WlOT9x9taTI0pE9s6epL3F3/qkIgOHDjIhkMi\nOnDgIC84SsT8kLU7L0esCSSOwPo3tDuCSMnYGSjREErcndlXZZ0KYoLOXEWvRjxzN02R1SnHeLe/\nO/NppiFmkirlC4PMvLeQAAaQA50oIW1hJHq1MsFoXJViZoP9TEwclTJ30SuydqutZO84wfh8V1uW\n2Y6ZMKOc+YuEzDFftXjMD29P9UP0jpycJM8BvFaqz+NKxO19AaK6/D5n90kA9Moyb/R0Gj7XDDhj\nfp7I3DC1mERUo6l5hKtUG0tjgS5AUyJahcmjU9fcxq7UxtHEqnIOHK/1i3yho43+PPp/Fxo7dL9F\nn2xoorU7R89vB8WFINrj5ox9DgxgP6mAAwcObAG98UXa8SGqUnI2QTdoXJ3ZZD953Og1DEw68pms\n5mqSbdhQO8f/wbDZuEGDeyC7J2IRF5SqAdGgj0tVZGLd2xN/IEdlor2pMmFvZR1yRs/GHB9BfjCI\nK/O7baytSt7f1NHLxBKN6Dm8fhSlokS/IvNsVyv7e1MN+QtpJjEYMkvbBircMsr9SI7m/0amQkbf\no2He50Auvs4o9zO/7+TxWPZxI0MhyJH7WT0RVVRVMTSZGC4MP6+MuELblyXvS94K5JhCLK7ANTKX\ngDwb6ucBVZcfpW43o6vKaO7qY2PcVCiBs3dr5KOWdrrkGK93dnBYXD1jlF/FXK4PdeMo1/VoFG80\nmP37kus3Z7i5n+t7NMp9o7wH49zPOeabuHE06Jivqsi9O1KPhSOEu1MkolhanZX7+XxeecWakQeT\n4upzWVXZ2tlLY4Xmvn3o2BFUSy465RhPtu/gsLiLupnjPWSP+fnmvtGYHwvlMgTJPm5kSBZ/YIBI\nMl43nzHfaFyJZedu7ry3Xomov04jzZ8n74u+cmRZSZYzu8tqjI1khmvSk+v/rDOCmVRXgSAIqKrK\nho7utHHvgt0n8ubmZoKKwrMtLZxcPRIwzq98TORyXTtG849gMEJfML2FxuJla/nKCUN/PwcOHHzx\n4ZCIDhw4yAv6KZKzMz8EZCwoBQtVKbHOTWn9uZRoMEmkgLWqlFxKRJ9L4rDSKp7qbeeTUB/N0Qij\n3R7T43NUKfnB0FglGgRPqfnBANHW1cn7arwXVmJB6a20TokIWllnc1dfsidiAkc21lMlueiSYzzd\n3ZYkEc2G08IiT2TmvmxuT0s9lP62NEWWEgkipxkKWZf7k0amVLibe/qTJKJbFDm2oo6HOptZGQ6w\nLhxgstd8k5FMEjHTqdxBBrJ6IqqoSswyk61Y+7rkfcHlQVVk5KBWzWBl3vs9bhpqK9jS1p2mPgdY\n2DCKsW4v26Jhnuhs5cSqEYgmm1q8umJ9ltv34k/X8RVTo3Dg4MuDSy65hJ6ensFPzAP33Xcf5eXl\ng584DDgkogMHDvKCfkHpTKmHgEwlYsy6BWXCoTMBORwg2pdSIlpZzlxXXkKZ10NfOMLWvnSlwzFl\nNTzV244KvNjXwYXVo02PzyER84RBk301GkCwgERU5RjR9vWpv2MhVFXVNdm3lkScPKqGt1dvzlpQ\neiSRYypq+UdnCytC/ZaRKU4LizyR0RNRNVBzmYVo65q0v+VIMFnSiejCXWqeQ20mJo7UmQr1puf+\nsRW1/KOzGQV4uruNb4wcb3J06WO+M9oPAYYbR/3gNdddHjQFrp5EVKNh5FBvUiloZTkzaL1wt7R1\np/XBBRAFgZOqR3D7jq1sj4b5sL+H+WXmfn5Pfvh51rGXP1uHoiiIu7rh264Gu7gi2yWOLyiefPJJ\n2tsLax55xx13OCSiAwcO7AMV1VEi5ous0jbrSMRoSzqJqEQCaf2xrDRWEQSBxhFVLN+6gy196QvK\nCR4/070lrAwHeKm/g3OrRuEyeVKTSSLay4fShjAyVon2A+YT1bHOjWklpUokiBLuR5W1EjMrVSlA\n0qW2PRSmPxqj1J367BZV1PHPzhbLyBQlzVbFGfOHhKwxP7v9hVmItqWTiGo0mBzzXSVVCBYuDkdX\nleH3uAhGYmzJIBFHuD3sW1rJO/3dvNrbyWV1Y02PT69ElJy8HxRCZk9EQI0EECwgEZX+NtRwyrRE\niQaRE+Q51hqrAEweXctry9ezsbsPVVXTrsMjKmr5a9t2AorC452tppKIsqry7Cerso639wb4+LPP\nmTd7pmmxOHDwZcGCBQvo7i5sz3e3u/hmXQ6J6MCBgyEjW43lYFBk9US0hkSU+9uQ+1vTjinhQLKc\nWXB5cfmsKTVNYEKdRiJmKhFBUyOuDAfokGN8EOxh/xJzFyZRx505PxioUvRllWYioitlhgR5rivp\ntEE5cwKbevrZvTaV2yN1ZMorvZ1cVmsumZKd9w4GgyBK6b+UFqnPVTlKtGND2jFFp0R0lVQbPMs8\nCILApJE1LN+6g8092WPDcRV1vNPfTUhVeLmng3H4TI3PUSLmCUMlojVjvl6FCBp5bicScWrcgbwn\nEqUrHKHa500+VipJHFlRyxNdrXwU6GGLQQ/uYmFZXw+d/envt2djPcu3tvDia285JKKpEOKmJjaA\no0QsKp544gmrQ9gpOCSiAwcODJHZBB0gkgeRkstIwui4HDFuRm0Ug5FJRz5Q8mqyb/xeSjS7PC2X\nuUOWKiVmriol0Rg93Lw867FYsJ9ob1yVUlpDVFYhgyjO9XkN13PCyERhQpw82doXIBqOJXsBRUMx\n9pfK+IsgElAVnu1uZ55YmjPHioF8ypmNmpjnamxuZCpk1GR/uHmvvUR2DOEcOT7UJvuQy1jFQKsZ\n7c8+VkTI8XijOzRlheApQ430oUSCRHS9QN0VtUM2IMir8X4OY4TMsWLSyKrk/U3dfUyvSpWgyFGZ\nRaU1vNPfTVhVeLGrjTGyf+gxDBORPPrC5TLTMrpOVYPrQc3lRlokZ2qj3M9lpjUsg4l4+bxZqr9k\n3retTeuBq4XSnyTQpZIqogb/32GbS4Bh7hv9Rk4cUc3yrTvY1NOXZvIgR2XmuEuod3loikV4uruV\nS8SxpionY7r5zmD9EEMGn5nRMSXH78BwzbRyweirNDKRAlCGaKY1ZEMhQDV7zA9rsSXL+EU3KFHk\nzDG/rBp1iON7IYafzLFNP+Zv6OylamRKNSRHZI4r00hEgCfaW9hXrmI4yDU2yxnzDzmm8Ni3z+GU\n3z6cPHblUfPZd0oDb0YrLXfcduDAgX1gE4rbgQMHuwKySUQHgyGrxCcWRi2S6+tASBhLCN5UDyxN\nkaX14XCVWbszD9BYVwVARFFoDaWrd7yCyCE+jWT8JNLHDpMNaqKOCjc/GJW2WaBKkQMdKAEtx8W4\n8kqJBNOUiFb3RJw4IqUIy+yLCLCnr4wxLs1M6JnedlPHj3w2jhzEkVXKr5q+eQQ6NZZOzaKVdaZI\nRKsxcZSW+1v7glkEjigIHBv/XdocDbNJNfczjKUZCjkYFDZRIqpKDLl7CwBifM6gRkMZSkRrVbiT\nR6d+czL7IgI0uL3M82ubSYt7OwmpwyeUh4K9yiqoKU/vuyuJIhNGVPPV888wJQYHDhzsGnB+Fx04\ncDBkhB1zifyRSaaoMigGSrMiQo2FiHVsAsBdNzl5XNb1RHSVWk8iTtQ5NG+LlzSrqkpLnDA80q9N\n/FVgcbDL1NgyS9scp86BIQhCdu5bsKCMta1N3hdLtX6MGomocyW3mEQs93up82vlbJkGE6CRKYvK\ntRi3xsJsUHIogYoAZ+NoJ2ADFS6kcl+qGpc8Jkf6kYOaC6RkcTkzpByao4rCjmA2SXhEWQ3u+Fj7\nQayw7pWDwSlnzhOGG0fm573cvTWpwBX8iY2jQJI8F9w+JAsMqvSYMKIKMZ5UGw02jgBOrNBKnoOq\nwsdyr+E5xUBvMH0D1y05o75VUAXRFjfnl9+BESzNCkVRiMViA94cOHBgHzgLyp2A4YLSPBIAINq2\nXiMvAffI6cnjctheJGJjXaoX3JZ+jXBa0t7FWyFt8TjR7WOaWyvlfDnYlbPUuhjQ94ZzyPMhIkOZ\nokYsIFLaNSJF8JYj+hM5rhLrbdOOu7xIPmsXlADj4+oPPYkY1dXRHVFajTdeyvmBbB6Zkq3AdXJ/\nUORwJjcTSrAzqcB1104BSSuX1NRY2ndqdU9ESFfhJnJfVVX646W8lZKLA0u134XPlT76VPPWBekk\nopP3g0IQyaJbrVCfd26M3xOSG0eoSnKuI/mrTI8pEx6Xi4YyrQf1pp5sJSLAXH85Y93a5tJ7sR7T\n5jt9ofQqD7fk2Mg5cOAgG6b2RFyzZg1//vOfefXVV1m7di19fcYDpx4ffPAB8+bNMyE6Bw4cDAan\ntG0nYLQ7HwsiYJ4xSLQ17rYneXDVTNJiUmXkQBdqvH+Wq9RaNRbAuJpKREABtsVJxCc2bmO7jnQ9\nyl/F6miQdiXGWjHANMEcM5hoWn8sB0OCKIG+CisaMLU3nCpHiXVsBMBVNxXRnWpeH+uLl/Fb7FCb\nwPjyUj7e0cnm3tSi+8GVGzlEdSEIAuWSi4NKqnipv5OVSj89aowKIwfsAsPZONoJ2MBUKNqWMpZw\n1U1B2PweqhxFDqQIaKnUehIx4UwOsKUvwL7AZ+3dfBzo4dAyLb5F5bW80t+FDHws93KQy5y4nXLm\n/CAIgjbm6/pwWtLCIk4iihX1iJ7UBpEciJOINijjB2isKGVzb39aC4uucIrAEwWBE8pruaNjO+1q\nlDVKgN2k4s93MklEl6NEdODAcnzwwQc8+eSTLFu2jI6ODkKh0ICtbV5++WUqK4u7zjSNRLz//vv5\n6le/SjhsjUudAwcO8sNQjFUGbrI/dGMVJUfTZ0NjlTxgNMDmahpv2FA7jyb7OWGoRDRvYh2LhpP9\nEF01E1DR1FdqNN2hVvRXGZtLFGL326jJvsFn6xYERpX4aAqE2NIboC8c5cWtzbhlCMsKgiAw31OB\nX2iJl/j0MIHiq8hk1DQubLAptVHWRHMZ+hiYChk12VdzNNkfLv2V63pQDJrvK1HjMvzcpkIZUwxV\nBjkCLq/x+QVGtDVlLCFVTUDVLW4TvUClkuqcBkoFMZgwgNG4Mr5My+O2YJi+UBSPKHLvZ+uYXtHI\nyHg/xGP91bzU34kCvBft5mBX8dXD+WwcRXN8XEbHMxv6wwC/Awa5n0/eGxkKgfH3a2S2AMa5nyvv\nBSNy18SyTiUaIZbogespA29VSokY0pGIvsohm0tAbpOtIcdl8P2OqSzDJQrEFJVNPf0ossp/1m4h\nFOznII/Wv3cqXia6fGyIhfgw1sN8oTJpulVMZDqT5wtjE7kcZkvDnOvkGqqMfr9jua4HIzOtPPIe\n0MZ8vZlPNIiqKggmuczKgU6Ufs2QRKwYh6rbxE32AvVV5jRQyvXZDBVCLiM6g/cbFx/zN3X3EYtE\nEQSB332wnIuUquQ5h5dWc39nM0FV4e1oNxOFnZvv5BqbjeYf9ZVlHDZzEq8sXw+AJAg5x2YHRYZo\nEwJXtH6j9cuKtrY2LrroIp599tm8nhfNMV8vJEwhEZcvX86ll16KLMu4XC6OOeYY9tlnH2pra5EG\nkUk3NjaaEaIDBw6GAEeVshPIoUQ0C3LP9qQawFU3VTvo8kA0gBzsTp5nh3JmgLElfpoCIbb2B1m8\nrYVATFt07VCijJI8+ASRA70VvBjqYr0aNEWRlQ957kCHXGSKSSRirCNlLOGqbtR6ZcUhB7Tct0Nf\nONCUiAls6QuwtS9ARzjCqmgwSSJOcfuZ5vazOhrkE6WXhWo1UpHJlEwixRnzhwCLy5lVRSbWqfXA\nlWomIggCguRFBZRwisy0Q+5LosjY0hI29faztS9AMCbz/Obt1Aspt1pBEDi2pJrbe5roJsY6NcDU\nIivQVdQMJeKuMeY3NzWBqjJ6zBhrAsia76ha+xaPORUDctfm5H2pujHtuksQ6PZRImqEYCAm0xYM\nE1NV/r1mMyeMLaUmTvqXiBJHllXzZG8769QgbUqEOtFT1LgOmDYeFZIkosshkBw4sASyLHPCCSfw\n7rvvAjBz5kxmzZrFY489Rjgc5owzzqCrq4t33nmHvr4+DjroICZOnAiAz+crenymkIh33XUXsiwz\natQoFi9ezB577GHG2zpw4KDAcMqZdwIW90SMta1J3nfVaqYqiQWlHEq1lLALidhQWsKHbZ1sCwR5\nYtO25PE10SCjJG3yfIS/mhdDXajAp2ovC4TiLob7SO/DtasQKe+/8xaxmMwBBx5kyfsLokSmAEKN\nBhD8xc81VVWR2+NKispxCC4vSKnFV2JBaYe+cJBSIgJs6u3nifUa4bk6GuRAf6okZVFJDau7t9GP\nzGq1nxlCWVHjiuyCPRG3btnMh++9y8mnn2lNABarzzVjCU2F4KqZBIAQJ6KVSOq3x2UTMmV8mUYi\nbukLsHhLM/0xmQ3IhFUFb1zBdrC/krt7momg8pHcw1SxuKRUbxqFaP8WFrIs8/f77uHhv/2Vp19+\nw7pADEv5+xFMIxE18hzJg1g2CqUnNYdQo5pxjx16IgI06jaONvX280FLB4oKq8IB9i9JjfnHl9fx\nZK+mnP9A7uFYsa7oscXklGLW5fREtAaCEO8zagfYJY4vFx555BHeffddRFHkgQce4LzzzgOgrq6O\ncDjM7bffTl1dHd3d3Vx//fU89NBDfPOb3+SUU04xJT5TsmLZsmUA/O///q9DIDpwsAujdxclU7o6\nOwY/qUgQLFYiJhw6xfJ6RG+5FlNcCabojC7s0B8LoKFUM07pCEf4pL0reXy1jnid4PIx2aXtsn2q\n9Ba94fgy0o0s7K5E/HTJJ1x45ilcc/kl7LW3hT2FDRaUppEp4R7UUBcArtp0IgVAjWmtVeygxoJ0\nJeKKjm7eatJK8lZF0j+vhf4K/PGR9yMTDFa6SS+JsTOJ2NnVzc9uvIHD9t+badNnWBeIxT0R5Y71\n8XsCruoJ2r04ga7Ef3tEbxmC5DZ4tvloiBPom/sCPLZ+C6C1Ul0XTbk1+0WJWaL2+7VODdKlFrdU\n63PSe7bbN+thyWcrOPnow/nR9ddy1nkX4nKZ2u4+HRYS6KqqJpWIUuV4rYRazM5xSbcpYyUaK1Ib\nQBt7+nlsrZb7q8Ppn9dYt5cpojYvWqL0ElKLX1oc07UjctyZHTiwBv/5z38AuPDCC5MEohEqKyu5\n4447OOaYYzj33HNZsmSJKfGZMjIk+pLtueeeZrydAwcOioCYorCNUNoxOy8ou7q7eej+ezjzuCNZ\nvfJz6wKxQImoxl9fjfSj9LUA4K6bknw8SSJGUwtK0aQS08EwttS458/qDOL1CF8VAL3IbFCL93lG\nUVhH+qTerln/+ao1nHXJ1zj+iIN4/ZXFfOeG/8VfYqHzcA5VSrGgKnKy76HSkypdlmpSCtxM2KW0\nrdTtotanET3vNLUle5yti4aI6haNHkFkTpxM2aSGaFXz6M+aJxTUrDHfjrkfDoe59Y67mbHvwfzl\ntj9w9KIT2H2PWdYFZFTGHykukaLv/xuLk4hixRiEuJs98dxPGGnZJe8h1RsuGJP5qC3VpzeTQN9b\nrEje/0TuLWpMTVl5b7/M7+vv5/of38L+x5zK0k8+oqq6mrPOu8DaoIw2Tc0i0IMdEJ8nSFXj4+Fk\nl/7aRYlYX+pLlgq/29TG9n4t9lWR7PnMfEkjPqOoLC1y7gNE05SIDonowIEVWL58OQAXXGA8risZ\n/Wl/9KMfEQqF+MUvflH02MAkEnG33XYDoKury4y3c+DAQRGwor2boM37YymKwitvvMlFX72axplz\nufG73+aAgw5h/v4LrAvKaFLdv4PYuhdR2lYV5S3lLW+j9GxF6dmSPJbsh0iKREw5M9tDjQUwLq5E\nzMSmWIiwjkxZ4KvEHV/YLVOLN6luIZxVkmu35eT6jZu55Opvs9fBR/P4M88DsPus2Zx65jnWBqYn\n0OPXQVEXlEoUed0LqLEwaq9GIgq+SsSSuPO4wYLSTrmfKG9b151SQUVR2RhNN6SbK6XIlGKqEduJ\nELJxCwtFUXjk0SeZteAIrr/xZ3R2deNyubj2ezdYGpdgtHGkRFDl4qnnlPaVqKEubeMobiyRKGWG\nlAo3QbLbpYwf0kv59ViVsdk2QvQwTtAU6EuUHmJFUqDLqLSRTs7bJ+s1PP3iy8w56Fh+d8c9yHHC\n56JLL6ek1Jyy4VxIr7zQPjU1UsSNI10OKL2p0mWxKt5P35U95os2IRFdopgk0D/ZkaqWWR0OZBni\nTBb81Mb7hL4vdw/oyloIxHRGKk45s4UQRJvc7DYCfjnQ06PN7yZPnpx23OPRxrVAIH0+PWvWLLxe\nLy+88IIp8Zmieb/sssu48847efLJJ1m0aJEZb/mlRzgcxuu1h7JIj0gkkkx+O8Gun1coFDKlOaoR\nMh343tvemnXOQAvKXAUXRqbNioFTp1EM2rHsczdu2szfHv4nf3/kX2zaklIg7TVvPldfe33OGNPi\nMnJnzulcO0x3ZiWK2rsNNa6mKzjUGPKGl8GtLSgETyn4aoj1tiGIrqRSJrGolUpqUBXV8P+bl0Nt\njjKbXM7CRqj3GF+HMrAmGmKGW5t0uxHZjVI+o491aoAOOUpZEQxWtmcoUmDnVCk5zMoNXQ+H6tS5\nra2T//vODdz70D+JxdJbDfzwxz9HzHD2M/oqczqxGl0P+eQ9pCuyJA/Egqjdm4mFuhEqGpBGzc7v\n9QZ/Q42gX/schOPGKVUTUGJh1FC3YXN/wWPsUAs5xoQ8Fm/55L0ckWko8fMxnUQyxr2VkUCyfB+g\nAheTBT/r1CCfKr0cpBSHEDLK/Z3ZODJyiFUNLogBXV8z8Pqbb/G9n9zCx8s+Szt+9vkXMWFS+oQ7\np3NtHu7M+XyXhmX8QGzlYwieUqSJRyQ3cgqGaIDYmmcRqyemwqgcl7pmE+RO/P8h+iqRY3Je7sz5\nwOjzyjWuNZQYbxytjASI6vIkoqjMEcrZooYIoLBc7mOGWPieoK2EyYx+Z5bQQ8177bjBZ2NwPWxr\n6+S6S6/i8WdfTDvu9fm46LKvDi2unDludD3kkfeQ7iYreUAOo7Z9TrRzHWLddKTRe+b3eoMh3I3c\nux1pxO6ocRJR8FWCy4cSi2A0XIu+8rzGfKPvsRBQZZXxZaVs6OmnJZjaKAqqCpsDAca7U2N+VIW5\nQgUvqe10EuNzOUAtw18bGI7DskI0lvreJVU7JphQRu3AgYMUampqaGpqIhJJn3tXVFTQ1NTE9u3b\nmTBhQvJ4YnOhu7ub/v5+Sou8qWSKkGjevHnceOON3HPPPTz11FNmvOWXGm+++SYjRozgO9/5jtWh\npGHJkiXU19dz0UUXWR1KGtavX8+kSZM49thjrQ4lDS0tLcyePZt58yzsaabD+81tWces3JsKhMI8\n9OJ/OfqbP2X63vvzs1//Lo1ArCgv5ze332VtfyDIUCJmfGIG5ZUFg6pARFPoqbEI/e/8keDSh7UF\nbmIBG58U2sVUBaDC7cKVY9dzTYaKbZaglXWqwPKMHlaFQhPhrGNWK3Dbunv53p2PsMdF3+MvDzyU\nRSAeduTRLDjoYIui00FPoCd6U8XCqP0tqOEiKOgSTchDncncljvWEnjnT0S3vI8oebIIHrv0RAQY\nX2Y84Vtt0P5gr3hpZwSVFUpxcn+7Ye5bq0hYvmErp/7wVo46/fwsAtHv9/H1IW4aFRW5xvxoP2r/\nDihKL0IR5DBK28rkkVjLZwSX/kMrb85Q4dqpnHlMid8wqzqUGO0Z6s2pQikl8RH4E6U4KlyjvLca\nsqxw2xOvsNflN2URiABnnH0edSNGWBBZBvS5n8g5VdbKjItBxgkCyrb3kLe9r11bgFgxTntbVUXN\n2lgUkHzlhY9jJ9FYYTzmZ6pwAfYQy/DEr5SPipT7CeiNVZyeiBbCcgWio0S0EmPGjAFg+/btacen\nTtUqy95///20459//jnhsPb75XYXv+exKSNDe3s7V1xxBT/60Y847bTTuPDCC3n22WdZv349zc3N\nA94yF0cOBkdXVxexWIzm5marQ0lDX18fwWCQpqYmq0NJgyzLdHZ20tzcnNVfwEq4XC6am5vp6uqi\nr684i8ShIqoofNSSbU5i1c9KZ28fp//gN1zys9t5/ZMVhuf86de3MK5xgrmBGSGtpDPjEzOrD6ES\nhVgY79SjEFyerN5wdiJSuqPR5M6/FP+8qgQJEViT0RdxpOBlJNpCZblaeIOVGAo7DBaUVk+nVmzc\nRnNHN5KY/RMuSRI/+PFPLYjKAKLBgjJeHC64iqCwNpjoqpF+BMmDZ6LmUC16dKonQUL0FdfdOB/U\n+YxV+kYk4iTBT2W8mORjpQc1q+h+eFBQs/rCgbUE+qaWNq6/4xFe+OBTw8evuvQiRtXXmxyVAdKI\n6syNI49m+FBoGOR+rHkZgsuDVD0xqzec5LfPmO+RRLw5iIrM3HcJQnLzaBvhovQENVbgWkyeb9rG\nio3bqKvMHq8EQeDyq66xICoD6EjELLVtUeY7Wt4orcuTG0dqqJPI508QXf8KgiCk/daIvnKtGsMm\nyFXKbzTmewUxaS7UqUaJ5Kz3GT5iurWQQyI6cGAN5s6dC2jkoB6HHHIIAH/4wx+SXE8wGOTaa68F\nYMaMGaZUfZoyMhx99NHU19dz4403Eo1G+dvf/sZxxx3H5MmTqa+vH/BmlsPMFwnHH388y5Yt4447\n7rA6lDQsXLiQFStW8Mgjj1gdShqmTp3K6tWreeGFF7LK/6xEbW0ta9eu5fXXX6eszNqF7oq2boKx\n7LIWq5qNV5eX8cxvvs8D/3s1gsHi6fyzTues0042PzBD5P6MjIweivWerlF74KrRSt2EjD5BrtLa\nIsWRP/qiMvuP0JSRCVJwvreCW6om4RHErF5Ae8QXlL3IbKawBistOabpVjfZP2jOdO7+7qUcPT/b\nPOLS885i6rTpFkRlAB1ZktXgvhgkYg54Jh+WNJgQ3alFm+SvLA6hs5PY1GfcL7JJjtCjpG+oioLA\nXvEFpUcQCRd4QdlKhKgBMWklmdI4qo6nf3ktz9xyXda4X1lRzneuHlo5Z9Ex4MZRkfLeKI9FN57J\nR2iflcu+SsSOcIRwRjlv4hNcbdBDNWEs5EOko8AuzTIqzTZUIs6eNI7bvnEB155xdNZjJy86KquE\n3zLo8zBjfiO4jMvWhwWDdjFKzzaU/h24G/ZFEAREXVmwXUxVEshVKr3awFwFYB+xgtOkkVzuasBT\nxCV8VHc9Sg6J6MCBJUi0AHz88cfTjl9wwQWUl5ezYcMGpkyZwn777UdDQwPPP6/1RL/88stNic8+\n2zEOCgZBEJgyZcrgJ1oAfe2+ndDQ0GB1CIYYOXKk1SEA8J5BKTNYq8j6aOV6fviXf2SRSpMmTuDW\nW35mUVTZ0Ba7ApoCyxolouApxTvp0NSBjMm9ncwlGkr9TK0o5+3WjiSFUS5IjHN5ubpsTNb5u1HK\nO3QygRLKC/yTZqTEAuuViJFojIt+cSePv/mRFo8goKoqZaWl/Og73yiiPiE/CIKU/A7VDBKxKAtK\nAyJFqpmMVKszFdIvKG2kwAXjflzfqhjLI/2trI4GmedNL8ObI5YzUfQzSvDSGS3st26kxgIbKLI2\nbOWCn/05a9y/9qrLqa6qxBZ1DnqlkyBq6ixFU8wVJe/BUInoaVyA6NPK3rOUiDbK/a19AQ4YVcdb\nLal5xqkldVSKLj6JZFdhVApuThdH0SD4cAsiPQWsIGkhjGxAnls95gM89/6nfP22hwCorqqks0vr\n+3rtlZdZGVY69BvxWUrEYqjPjQkuV8N8BK+2+S64/RDsArSNIzthSWtn1jEXAptiIUKKgi9D2FAl\nuKkSEmWKxTNX0RuruB1jFcug2mSTU7W8ic+XEwcccABXXnklkiShKEpS6DRy5Ej++te/cu6559Lf\n3897772XfM4pp5zCNdeYo0w3hUT8+c9/TkdHdinkUJDpSOPAgQNzoDd8eL+pcCSi0XRfydls3Lip\nd3N7F0d+42aCYW1hNmXSRNau34DL5eJvd95GeXlu5WYhmuwr+TYbF4R4P6D0T6x4SsR0eCYfDpI7\n1SQ9o5xH9FejKGrO/68Rhjt9Hcg8ZGxGo/1SQUzfsY/fl1UVCYGLaUiWPhdSl1JIEjGX4iBXo/0s\nxL+7cCTKeT+7k2feXQrA3nNmceWlF3Lp17/Dd675KqNG1LEtj28nZ5N9I1OAvPNer0rJ6M9SFEVW\ndumoe+IhoCrJdlyiO5Vbkr8SVZFzGigVC7ly/9tzduOZzdtpj49rIrC/t4J9veW0ybGkOU/iXw8S\ndUg5TXuGg9wkYv4wNNPKx1Aonnefb9rOsd/5NW1x9+r/u+kH/PIPf8YlSVxz2cU7EZnBWxXATCtL\n3eopgVD8+UXbOEp/T7F0JNLoWbnHfG+5JblvhD2qKtlnRE0aiVguShzlr2ahtyI5durH0PGCP+tY\nIZAr73cGRnmf07hnEDOtj1Zv5Pyf/wVFUfH7fDz90D18/+b/Q1VV5s/dk1zNi/L5fo3OzX/M15cz\n+9J+iYrTwiJ7RBJK6hBH7J6MXb9xJPoqrBnzDYhuOaawz8gaXt7akjTT8koit1ZN4u7eZtZEAsyM\nm4EVY4wH43EYMklEh0By4MAKuFwubrvtNsPHTj31VD777DP+9re/sXbtWsrLyznmmGM46aSTDCv0\nihKfGW9y1FFHmfE2Dhw4KAKissInO7J3S8G6ss7RtVV89/yT+NlfH+WWK8/l0DMuYu+DjuDHP/gu\n8+buaUlMA0PI+DcOE5SIUt1uuGrTlcmZvYokGxmrQDaJWGbkcK2DVIQfTBmVFoyJA6uW3cFwhLN/\n8mde/FAzlJg/YxLP/OtveD0efvXHO/nG5ZdYFFkO6MuZRU/RF5SZEydP40JEb/qGgmhjJSLAuLKS\nJIlY6XEjCQISAvWu4ve3SWCgkk6rlIirNjdx7PW/obVbM4v61Y9v4BtfvYQ16zewx/TdKC017i1m\nHeLqc0FAcJeghrq0o6aUMwt4phyRTmba2FgFNAW6HhVxQ4ySQcb+QiMXiVjM/nODYUNTK6fe+CcC\n4QiiKPDgnbeyz15z+J8Lz6E8hxmTVRAEQac+t0KJKOBqPCgt9/XzHTspEQVB4LTJ43lozSbWxjdG\nqr0e6l0eflg1jlCRXKGHgr5wau5j1HvZgQMH1mPKlCn8+Mc/tuz9nXJmBw4cDIjP2rsI5lAEWken\nwPXnn8SJC+cxc9I45GlTOfbIw/n21V+zLJ6BIej+EZMNwIvmzpwgUyQv3smHZj+e1WS/qjhx7CQy\nF5RlgvnlNDviZW2JQnQ9ohYtKDt6+1m5RSvYXLDHVB67+etUVmglrk8+eA8lJUUqldxZDEBiFK8n\novaNCaWjkUbtkf2wy779sUBrtL+kvQuASq95xKEerYSJ5RjbFYvG/DXbWmjv6QfgZ5edzje+qhHm\nV15yIVMnTbAkpgGRVJ8DLh3BWTQSMUXuusbORSxNd+oVRJ0SWJQQPfYin8ZlkMCDbRwVAzEUWgjj\nQSCSkechi8b8zt5+TvrRH9nRpZHnt155DscfdTgApyw6CpfLXss4dYCeiEXZNM0gEaVReyCW1qWf\nolPB24lETGB8WWmSRKyKmyEIgoDfQkfc1U3tyfuOEtEqCDnL9U2H487swAA2yU4HDhzYFe+3tOMS\nBCaUZys9jJxrzYIoisycNA7QJN8P3n2HrYxx0iDo7ujLyorsEig17Ifgzv7e9MYqgqcEwYIF20AY\n5fMi6uYspRbE10KYPSjnWLL7klpFnY+tq+b5X17LOYfvxxM/+wblJSlCYsJ4G/Z11atBBDF9QlxM\nMkWQkMYdYFjSoc91u6mxQFMiJlDutoYg2E4ICajBnfVYk0Vj/vH778lDP7yCmy85lW/rzCVmTp9m\nigth/tDlno48yVJnFerdEteWpxx3w77ZJ+jGfNHtN63caajIUiJaMOa3EmEG5ZzN2KzFkRux4A7o\nQ0GZ38d+u08C4Lozj+F/jjs4+ZjH47HhnEcXj564FqSimFhprxnPZXcp0ph5Buekckm0I4mom1tX\neuxBCq/W9UFXLFREOnDwZcZ5553Hww8/TDBYWNPIQsGy0SoUCrF+/Xq6urrw+/2MGTOGUaNGWRVO\n0RAIBPB4PLbbLXTgYKgodbl4/MSDeGztVu5Zvi7tMT/2IZ/sV86mh27BlpjQCmJRF3JCxTiEqonG\nj+kWsvoecXaBSxSpdLvpjGgdDsstUCLOpBw3Ip0GJc0lFub9xPoR3PvdSy17/7yQtmhUNNJcjgBC\nEYlrAXH0ngg+48Wi/pKzI4k4Xkciei1SgPiQOIuxrKaPDrrTHiu3MPdPOGBPTmBPy94/LwhCcrdB\nEN1J+kko1lgWv9akcQekKa+SD+uUwEUrqR4G/C4XZS4XfTHNhdwK9flovNRj/NmUIVnSvsXtkrjz\nWxdxzD6zOHnBXqa/f97QDbCCIKAKEqhycRVVggiqrG2aGuS+PiY7qs8by1OqYL9LgjzbUBYaqqqy\npiXlY/Du2q0cPnOShRF9iWGXzR6T4wiHtc1Kr9ecvvF2xQsvvMBDDz1ERUUFZ5xxBhdeeCEHHnig\nbTYBTZ+hPv744xx66KFUVlYyc+ZMFixYwNy5cxk9ejSTJk3ixz/+MV1dXWaHVVAsX76cCy+8kNra\nWkpLS/F6vUyePJkbbriBnp4eq8Nz4GBIUGUVVVY5b9oEGktLkQ0aMFeTvwJEVtWs25cHqjk/xpI3\nqcRSFTn7ltb83IuqKIaNv62AIqsoskq5buPFHzePGMqtUHDHfx4L9SOZT7yqrGTdChPD0K89NW60\nk34zyKWBGu9n5nqSQC8ieV5ShzhSK2M2jFf3fxZzEI0JyIqadSsWEnnfUJIiEQVVMPzOij2G7k45\n5bgMlVe1BRrzE78v+pvZMPp+VdX4lj90OZ6mFivS/1MQEKqnIJaPGcKYP/B3aPS5FCL3E78zmbcE\nKnQqrHKDTYZij/l6kjBzhNpZM63MmyIrhjcjqLKsmcspCqccsCeCqib/zrrlE1eO79cw9/MZ7yGb\nLEyM9cWc9wgSQmUjYuX4HGN+6vMRvWUD/h+Gm/eJ7yzzNhAa0/paCjnyvDhjvtHv/PItLfSFUpun\nzy5ZnXt+OMxcdOAggW3btnHVVVcxZswYfD4fPp+PsWPHcvXVV7N9+3arw7MEkyZp5H1PTw/33HMP\nBx98MJMnT+bGG29k3bp1gzy7+DCNRIxGo5x99tmccsopvPbaa0Qi2eqODRs2cNNNNzFnzhyWLFli\nVmgFxSOPPMLee+/N3/72Nzo6OvD5fAiCwPr16/n5z3/O7NmzWb9+vdVhOnCQN75cZF+BYTSBLuLn\nKY3ey7CMORmOboFmuHNvA/hcqRj9FvaFUQ2Wj/bYA7Q/BP0Uw6TxQxq3YOCyOd0C0o4q3AZdX0tZ\ntXZB5uR+AaBC2lS7WN+pqwRp7D45H04zmrDpmO+XUmO+1+JeYNmjlZP5Q0GaWlOf68Uc/11epLEG\nJfwGcYje8uLFsZMYU6of862fZ7+0PH2N+vyna23h4u7gi4v//ve/zJo1i9tvv52mpiY8Hg9ut5vt\n27dz2223MWvWLN555x2rwzQd77//Pu+99x5XXXUVtbW1gMaV/eQnP2HKlCksXLiQv/zlL5aJ70z7\nlb7yyit55JFHAKiqquIrX/kKf/rTn3j44Ye57777uOGGG5gzZw4Amzdv5thjj6WlpcWs8AqCjz76\niAsvvJBwOMzMmTN59913CQaDBAIB7rvvPkpLS9m0aROLFi1KSnUdONhVEDOYRDjT6p1AckKroiqx\noryFMMhEWb8Tb7d+iAm4dYvIgIVkimyhK+euDjWNPFdTC0lVSVOHFBK5ypiTUeiuucEUWVZA0jUD\nDVus6jAyUXHG/Hyhpis6B1Ny7STE8voBy5R3iTFfp9gMWU6gp0Ow0ERul4K+nBklNd9Ri1ejK43Z\nB2EAo6D0eZb9RjCX7jMLxiyuZQYWZ5CITV19LNncbFE0X2IIaMpeO9yKeN1s27aNk046ic7OTurr\n63n22WcJBoOEQiGeeuopRo0aRUdHByeeeCLNzV++PJw/fz5/+tOfaGpq4rHHHuOUU05J9oF+6623\n+OpXv0p9fT1nnXUWzzzzDLFYcdaVRjCFRFy6dCn33HMPAGeffTYbN27k3nvv5aqrruLss8/m4osv\n5qc//SlLlizhoYcewu/309zczM0332xGeAXDddddRyQSobq6mpdeeol999V2xjweDxdffDF//etf\nAVi1ahW33XabhZE6cJA/IgYLWit6BO3aUNN352Mha6KI9Kf+sIv7Wwb0xiqtStSyOKKGi0cn74eG\n1Oekqkr6QtKq3I+FdfezKyKsRlc4let9UfMmg0awyon5CwE9ga4j8FTZopyL6hqz26Sf0kBosepz\nisOhz4cPVdGTiErRNk3FqsaBT9CN86psPwFHVyQ15vdGrZvrAPTKMd5fvy3r+HPL1loQjYMvA266\n6SY6OjpwuVw8++yzHHvssYiiiCiKHH/88Tz99NNIkkRbWxs/+clPrA7XMrjdbk4++WQeffRRmpqa\nuO2225I8UygU4p///CfHH388DQ0NfPvb3zZFrGbK6vEf//gHqqqyYMECHnroISorcysFzjnnHO64\n4w5AKw1WdpH+CitXruS1114D4KqrrqK+vj7rnNNPP53Zs2cD8Oc//9nM8Bw4GDaMSURnkTk06BYg\ncmoirUatcdxSozoS0WLFRy7oy3paFesWlGEDJaKT90OEnqxQVdCRwWo0gBrpQ+k0t72HEk2Rl2rU\nGiJzIHTpWr3oCUUrYDwyOGRKflAR9MRFTBvzld7tRSNVDKNIG/PtOX7px3wrSUTZoRB3Hmnkecb4\nFe1HlaMofeaqiRQ9iWjDMb8zHDG8bwWWhPoM+0A+u3SNBdE4+KKjr6+Pv//974DGkey5555Z58yb\nN4+TTjoJgPvvv59AIGBmiLZETU0NV155Je+++y6rVq3ihhtuoLFR20xpaWnhd7/7Hb29vUWPwxQS\nMdHf8KqrrhqSo8x5551HdXU1bW1tbNuWvSNiRzzxxBPJ+6eddlrO804//XQA1q5dy4oVK4oelwMH\nhULYsMyiuFNrwwbkipx9KwAMG43HN9Kzb3k2G09AVUlbmscCqLEQSoe5EzQ10pe6ryOHjZpsW9Vk\nP6RrNr9DNiZTFINboRExfNX88z6XIYbRZ/7FgU6J2Jv+W67s+JTYysdQi6hINLpOlUhqAipH+pJm\nK0M10yiEsclAed+pU6V0R6OGZZ3FNJdIex8DMsXIbGXQ1xmGoVChTIWGi50e8xUZJaRzuA53E9v8\nX+RNbyCIrtzPKzDUaCrvVVVJMxoavonMMGOLj3v6Us7tsagpOW4EozH/izQq54P88z415it9O9Ie\nUTrWE1v1OGqwI/NJw4sx3IO84zNiG18zjE+/WSuH+1EUOYdxmDXfsn7jqC0YJmohyf9BsJeaUj+1\nuj6Ni+ZMZWVTG2s3brYsri8nBFRBtMmtOGu9F154gVBImwMOhTsJBAIsXry4KLHsqpg2bRo333wz\n99xzD7vvvrup720KiZho+JhgSQeDJEk0NDQA0NnZWaywCoqPP/4YAJ/Px6xZs3Kel5Ce6p/jwMGu\ngKCBw5yzOz9UJHrBpX+GSvsaYp8/ihoqjmu7GguhGhBw+nJmo8ftgD5dX48dFpYzGykRHewEQum/\n5WrXRlBiCP6agr6Nqqqo4W6UjnWGhIiiz/2INUrggdCVoUSxUpEVMyQRHQwJqu5OX8pZUg20oXas\nKXjeAyj9LcgtnxLbkb1BrerIcwZxi7UKvboxv8VC9bkRiejMdXYCvVvS/lRalkCkr/BjfqANZfsH\nqF0bDAlKRUegKxa10RgInTonZAXYYeGYv7u3hI9vvpwx1am+2g9cfjJv/OBiunr6BnimAwf5Q8+D\nzJ8/P+d5DndijJUrV/KDH/yAxsZGjjjiiDRx2lBEe8OFKdugifLloVp0q6pKU1NT2nPtjlWrVgEa\nUSpJuZtWT5gwIXl/5cqVxQ7LgYOCIWBxf64vItQebZItlNQW9nXDvcTWvwThbsRpi3DVTU1/XKdE\nVGL26xEE0K1TZLVaOKk2ViI6yBsun2EfxEIvKJX2VShbNRc/qaohzWhFVVWUkC73bVjapu+PBdAk\nR2gcwDCjmIg5iqxhYOBPqigk4rYPUAOtqGWjcI1MVyToy5kVi/sNGkFWVXp0uW8leW7cB9fBUJDm\n6C66s0uaKXzuCyUjUu/fvwNKdX+rShqBbsty5kh6rjfJEca6vJbEckx5LeU+L4puA05WVGY2jKRy\ntrkqJwfYp2d5keJIcCdutzspHjPC+PHjEUURRVG+9NxJW1sbDz/8MA888AAffvhh2mNjxozhvPPO\n46KLLkq6ORcTppCIs2bN4oUXXuDuu+9OSlIHwhNPPEFbWxvV1dUDJpWd0N7eDsCIESMGPE//eEdH\nfpL+gVSZVtl7O/jywOom/19kCP4CD/buEogThUrvdsgiEXX9sWL2U2OFZDnNmdZaJaLTH2tnkdY7\nUvJnk4ieMgSpsA7JYkldkvpS+5pB79YcC6Wpga3qSToQujIWlM2WEugGSk6HYBkizCcRhdKRGonY\n34qqyGkuzGnlzDZUY/VG06m7ZgsV8s7GUYHgLoVwV/oxT3nBx3w8ZclNKrW/Nf2xjFy3Y+53hrI3\njqyGXsSvWFhe7cBekGV50ArR6urqIb9egjupra1FFHMTlS6Xi6qqKjo6OvLmTr4ICIfDPPXUUzzw\nwAM8//zzRHUGTH6/n5NPPpmLLrqII488csDPsdAwhUQ844wz+PWvf80LL7zAt771LX75y18m7akz\n8frrr3PppZcCcOqppw6o6rMT+vu1RbnPN7BiwO9P9Zno68tPGl5TU/hJpwMHQ4URiehMLYaIgSZh\nklebBBcQgighlNSh9rcg92QrwPUkohIJoqqqKdL3oaInI9falSgxVcVlQYzOgnIY0PfzM5jYFINI\nwV8DoguUGEpfM1LdbqlwoukNuW2pRIybqQho46uVJGLUyf2ioSgkYkKRpSqo/a0I5aOTj9ldjZVp\nItSuRImqCm4LlDhOOfNwoFciZq/zipL3goBQMgK1ZwtKIL0P4y4x5sc3jhJj/nYbkIjpSkQF2DXW\n4g6Ki2XLlg3KReTTV3eo3Amk+JN8uZNdGW+//Tb3338///znP9PEYoIgsHDhQi666CLOOOMMKioq\nLInPFBJx/vz5nHXWWTzyyCPceuutPP7445x99tnMnTuX6upqwuEwa9eu5bnnnuPFF19EVVWqqqr4\n3//9XzPCKwgSC/DBLh7942ayxQ4cDBe9DolYFAgltUUh8ITSkaj9LZoqRY6k7f7ry5lRFdRYGMFt\nTcmkEbozSjoVtEXlqEIrGIYApyfiMKAnEVWDnqpFWVCKGoHe14zS15IeTtaC0r5KRK8oElIU2ymy\nnKthiBhoLii6wFv4Sb+gK+NU+poR9SSirpxZjYVRFQXBRnPQ7mh6nqtAqxxljAVlnc7G0c5D0Fsv\nqdlzxqJsHEGSRCTcixoLISRaQGSM8fYk0LUx3y9JBGSZppj1JKKaUc7swBoUy9DELhgqd6I/58vE\nnZx44olJtSbA5MmTueCCC7jwwguZOHGihZFpMM0a7t5776Wjo4OXXnqJjRs3csstt+Q8t66ujsce\ne4zx48ebFd6wUVZWRkdHB8HgwIsS/eNlZfmpjwaS8HZ1dTFp0qS8Xs+Bg6FCVVX6ogYGHQ6NOGwI\n/rrivG7pKOBTQEXpbUaqSo2naeXMgBIJINqJRDTItVaHRNzloOpJRMXEBWXpSNS+ZtRARzqBnpH3\n9ixn1nK/xO0iFI7YrpzZwVCR+7MTfNUIxVDYuUu1VhbRAEpvM9TrHoukE+hqLITgKSl8DDuJzI0j\ngGYlwhjMJxGdnojDQNqYX/x+iMnX1fdB7G9FqByn3c8kEe1YzhwnEcs8LgJB2RblzHololPO7CCB\n2bNn89prrxXs9RI8yGDcif6cfLmTXR2VlZWcccYZXHTRRSxcuNDqcNJgGolYUlLCCy+8wL333ssf\n//hHli5dmnVOTU0N5513Ht///vepr683eBX7YuTIkWzevJnm5uYBz0sYxsDg/RMzkU+fAQcOColA\nTMZoM9KZWgwVAywoC2yqknzd0pHJ+3LP9iSJqMoRyJik2k2R1WNEIsoRbZFsMhxVyjCQtqCMKxF1\nzfYL3gs0DqEkkfsqSt8OpEqtt/IuoUSMLyirPG46whE6lBhhVcFrQVmnUTmz0xNxiBhg4V00IiVR\n1tm9KU2Fq6qqYe6LNiIRM13JAXZYpMK185gfk2XzFm47A6ONI8mTnHMUT4mY2oxV+lsR4yQiMfuX\nMydIxBqvlx3BMO1K1LIxPwHVIRFtAbt89IkwJEkqKBcxcqQ2V2tvbycWi+FyGY9u4XA4Wc6bL3ey\nK+O+++7jyCOPHFK5txUwdYQSBIFLL72UJUuWsGPHDt58802efvppFi9ezIoVK2hra+MPf/jDLkcg\nAkyfPh2ALVu2EInk3kVav3598v6MGTOKHpcDB4VArwGpAw6JOGRkzgTE1A+lfvJbSAguL/iqgLi5\nSiKUDDWWdiyQdcxK6FUpiT6IVpmr2HlB2dbda3UIA8NoQekt1/6VPEUjhdNUKX2pjb0kkZIoobEj\niRjP/TpvSoFlhVOtgmpbRVZ3f4Bw2J6u8ikYfHaJEuYiESmQyn010ptqWyGHs9oJ2K2ss0vfKD7e\nC90qFa6dx/zfP/YyPb127glmNOZXaf8Wc8yXPODVTLRUXV/E1BifGPPtlfeqqib7gY70a0SBirXu\n5ECaaEBxypkdFAkJ7kSWZTZs2JDzvPXr1yeJ7S8Td3LCCSfYlkAEk0lEPUaMGMHChQs57rjjOPzw\nw5kxY4atGvvni3333ReAaDSaZbmtx1tvvZW8P3/+/KLH5cBBIdAXMXZmdsqZh4qMz8kVN1iSvEVV\n14mlowBQepuTpaVGJKISsReZoi9nro9PrHOpUvoormu4UTmzXfL+//7xLB98nK3qtw3SeiJq9wVP\nGULpKAR/TdF+8wWXL0nYpCmy4iSiILq1x+y4oIyTiPWlqYmjFeVtuQhEO9ArLkninMu/blsiMVd/\nJ7FmKlA8BS7oVbip3M9UIYL9VLgJIsUtCowr1X4frSJS7EqeA/SHwpxx6VWEDZSbtoCB+lzwVYOn\nrKhjPugI9P7W1DWYyPO4U7ndypkDMZmIon1mDWXWjvl6pBmrqHYY9R18EZHgTgDeeeednOfpuRP9\ncxxYiy9Pd8oi4+STT07+OD700EOG5yiKwiOPPALAnnvuyYQJE8wKz4GDYcHImRmKr0QUJTHrhiil\n3VRB5PGnn83LEcwIkihk3QSRHDcp6zYgMkIT3KUIJSMQSuqKPKnWSESUKGp/qxZKJFvFoCTJFSHr\nZvS5SOLwYxZE0fAGKRLRJ4mMK9VK7nYo2ZPqDiIspxcRkrdCQkXNoUrJ//8vCYLhzegzHyqmj6vn\nmDMv5K33cm9cWQojEtHlQ6ybXrSytgQS5fxKXwsIonaNxheUgkvrkahGQ9r1KwiGNyPk+h7zii1H\n3vdFY8jxcSyR90CWuYokgIJCgBiSoP1daORWY+U/ziZi1N+MIEii4S0TpT4vGzZt5sxLrjSNSMxr\nzM+x6BZqp4HkRfAXrzWNUFKr/UihbR6BsdJcjYVz5r7ZEEQh2cKiyuNhfJm2sdaiRA1zZoda3O/c\nzkrE6eNG8+pb73LRNdchy9lmVYVG/nMd/WcXH/Pd/viYXzzyHHTu5HIEwj1aOPFyZkFyx/8OI4qS\n4e9uPr+9hUKnjgyeUJ7q9Wa1uYqi+x4dJaI1UNHIXDvcilVWfdhhhyWdhXNxJwAPP/wwoLV1O/jg\ng4sTjIO84ZCIBUJDQwOnn346AHfffTfLly/POuf3v/89GzduBODb3/62meE5cDAs2LmcWRAEFr/2\nBpdd/U0CAXupK1LIWJS4vIh1uxWtH2ICmX0RIZcS0Z7lzJVuN2PjSsRWJZpGFMdUlVdoK6oqMGob\nzaEx9t19Mr19fRx39sW88uZbgz/BbKTNPOP3XX6EqgkI5Q1FfWsxociSw6ihTi2CuENtwrnTbmqs\nTl0Z/yi/j2qPtvA1UqW8oXbST/FIBKN+iGAPJSLAvD1n89zLr3HWpVfZT5FoRCKKbkSXD2nMPASx\neF3tBNGVbJGRUiIatLCwmQo3ocCt9LhpiCsRd8iRJKmewHo1wCo1+/9TSOTKfTtgWoPmuP3oMy/w\n9R/8eNibpwWHUe67fIg1U9PaTBQDYonOnbxfK2lWMzaO7KY+1/cCrS/1U+3V4jQa83vUGL0GjtfF\nQIUv1U4j8xp04KBQ8Hg8XHXVVQC88MILPP/881nnPPXUU7zyyisAXHPNNTn7JjowHwUlEdetW8dn\nn33GZ599RigUMjye703/OnbHL3/5S2pqagiHwxx22GHcf//9bNq0iRUrVvD973+f6667DoCDDz6Y\n8847z+JoHTgYOnKXM9sDp590An9/5N8cvOhE1m3YaHU4aTCc5EtehKqJCGVjivvmnjIEj6bqUHo1\nU6eEEjFBpID9yJSeuPK10u1mbIm2oAyqCv26BcqTwTbaiSLshCpwqMjlzGwXanHG+HoqyssIBIOc\ndP5lPLf4VatDSodqQHK5fAiCiFgxtqhvrSfQMxVZCUMJu+V9l66fcpXXw7gyLc7Mss4NaoClai9S\nEXM/lxrLHpkPe8+ZBcCzi1+1H5GYg0gBEOIlzcWEWBZvY9G/A1WRDZWIds39Ko87mfcy0K7rhRtU\nZV5W2xCLmPdgbyXitLGjkmrRu/7+CD/+9R8sjigDBrkvuHzarbKxuO/tr072m05UXqTU5/F+gzYj\nEfVKxCqvh8Z47m/PNL9TVZ5TWk0ztrr80L2T91VHieigiLj++uuZPHkyAKeddhq33nora9euZe3a\ntfzmN7/hzDPPBGDatGlJHsWBPVBQEvGss85i1qxZzJo1i88++8zweL43/evYHRMnTuSpp55i9OjR\n7Nixg4svvpgJEyYwc+ZMbrnlFhRFYcGCBTz66KOIYvFEoF1dXfzxj39k7dq1RXuPnYGiKNx+++28\n9957VoeShbvvvptXX7XZAhxNwv30009bHQa9OcuZ7TG5OPCA/Rg5oo5ln63ggCMW8eyLi60OSYfs\nz0hweRFEF2J5cU2kBEFALNeISqVnu+bSGVciSiWpkjrbGavEla8VnhSJCNASL2neEAvxVKgd2JnC\n4qHDzotJAFEU2XfvvQAIhyOc/pWv8dgzL1gclQ45FpSmwFelNfIn3hNUjiRdoUWvRqyrNusFmugL\nB1DtcSdLmvWqlF4lxouKlvuDFBYOC5EcY7tdxvwEiQhxIvGyq21EJBqN+XES0YRyYbFcU6uhxFAD\n7ZBoVxG/HsCOJGKqnNmolF9VVV5R2wmgFL2Eyij37ZH1UOLz0NiQ2nz8+a23c9u9f7MwonQYbpom\nc7+435wgiMnqDjXQiipHU2O+W5tH2K0non7Mr/F6GF+u/TZlKhE/VHvYRrioG0d66McpR4loHVQb\n3YqFyspKnnvuOaZNm0YgEOBb3/oWU6dOZerUqVx33XWEQiGmT5/Os88+S3l5eREjcZAvnHLmAuOA\nAw7gs88+46c//SkHHHAA48aNY8qUKSxatIj777+fN954g5qa4vaCevzxx7n++uu5+uqri/o++eLR\nRx/luuuu44orrrA6lDS8+eabfP3rX+eiiy4ypcfMULFq1SouvfRSLrjgAnp6eiyNpdztYkZ1Bd6M\nIcMuUwtJkjjlhOMA6Oru5pRzL+Int/zaHt+nkSpF8mYfKxLECm3BoUb7UcM9SRLRVVqD4I6XddqM\nTEkrZ9aRiK1ylKiqcFf/dlPovdxKRPtgv3lzk/ej0SjnXn4NT/z7nxZGpMMAiqxiQxCElCKrrymt\njF+MO0SrcgRVscEYEUeaEtHjYXxcldKhxAirCqqqcldfc7KMuZiKLBGowY3HpmP+7JnTcbvdyb+f\nfekV+xCJFuY9gFg2Onlf6WtOljOL/srkcbspshJjfpXXTUMaiahdE2+Fe1hLXElcZCLW7ptH06dO\nTvv7Wz/6KU/8518WRZMBKzeOSBkLqYH2tP7PiY0ju5Uzd6QpEd2ML9dyv1OJEYwbrqyPBnlb1Vpy\nuEwiESWd0EVxSEQHRcbUqVNZsmQJv//97zn00EOZMGECEyZM4NBDD+UPf/gDH3/8cVKt6MA+KGhh\n+Z133klvby8Au+22m+HxfKF/nV0FtbW13HDDDdxwww2WvP+hhx7KEUccYbuS6UMOOYRFixZx5JFH\nWh1KGvbZZx9OOeUUZs+ejSQVU9uRH6ZOncp5551HXV1dsvGsmRB0ncwXTR7LosljueJv7/BfOpLH\nd2Zqka8JwVBxxskncue99yf//tmvf8ebH3/Kb26/i6rq4hL3A8JgAia4zCMRpcoGEnvdSl9zSolY\nWoPY3YQcDaFEg0lzB6shSkJSiVjlTZW2AbQpEZ4ItbNNt0svIaQ13S9k5U01bo6kjh5ivEfXsF4r\nH/MLIzOJXNh/n7lpf8uyzLe+9j+Ew2HOPO+CjBiGHoRRk/lBm+pnwjD3TSRTysegdG9BDXaihlMb\nMZK/Knl/IEVWIQyEhgp93gPUlKRUKaD1BN0UC/NuODWX8gii7jst7EKvAT9n4OdTenibzuTxQo35\nwjDdYLxeL3vMmMYny1L9p5996RUil1zA7ff+Da938DHW6PstiFLQahLRXw0uP8SCKH0tyb5wrpJq\n5GAXyNEBN46Klfe5fmNUVU1tHHncjPR7cSMQRaVZjtAuR7mnrzl5vovimAklMJ0yAsh8Rupa2xkF\nrlHei3mM7UKO+ej0qVN4/pU30o5968rLqaqu5uDDjhg8rhzfr1Hu5z/mW02gj0LZ8Smgova3JI9L\nPm0OrUZDSeMhIww393N9Z7mQ2DhyiQKlLlfSVAg0M7mxooff92xL0tqFHvONf+fFDBIx97WLTeaN\nX1TYpZLcDB7Z7/fz9a9/na9//evFfzMHBUFBScS99947r+MOioPGxkaefPJJq8PIQl1dHf/+97+t\nDiMLPp+PBx980OowsiCKInfddZfVYaTBnbELapfSNoAD9t2H+lGjaGpJTRzfeGUxpxx5MH+692/M\nnL2nNYFZrUQsHQGSG+QocvfW5O68q6QG0VOCHOhAjdqnnFlV1bSeiH6XRKUg0a3KrI0FWZJhElBM\nmsePxCRKiaIMm0QsFubPnYMgCGllZKqqcv03riIUCnLhpZdbFptq2BPRn32sSJAq6kk0YlDixkIA\nUklV8r5qo7LOREmnRxTxS1JSiQiwOhLkAd2iGIqrREwgU/lipzF/7zmz0khEgMUvPMeVl1zAn+/7\nOx6PJ8cziwyr1ViCgFQ+GrlzA0pfMwgasSH5qxDdfhQ5aqtyZr0reZXHgygIjJTcbJMjtMgR/tzb\nlNYPt9h5vxeaYvNzepPWReb79uZGphIRIBaLcflF5/GPx55mr3n7WBBVHIYkoonznbJUL1y1b0fq\nuC+xEa+ixmygVo4jYaxS7fUgCAKNuo2j7XKYl4KdbNVtmpqlRBR15KKjRHTgwIERnC0EBw4cDBku\nm5a2Qbyk+cTj0o41TpzEJV+7hkDASpLMqEeQeZNqQRCTvRflnm1JswuptBrRoxE6dipn7o/JyQVl\nZdyddmS8l9fyaCDr0zRjSp05cTeruflQUFFezszp09KO+UtKOOyoY/j4/fdYt2a1RZFhgwWlrqwz\n0WgfTYWbPG6j8rbEgrLK60YQhDQV7uOBNgIZn6cZunm3jcf8eXvOzjrWML6Rpu3bufvPf7QgojgM\n89488hxIjvlqqFvXB7cK0Z0wmLDPmK93JU+M+aPjY/7aWIhlGRtHZpDnme+j2ohG3G3KpKxjZ5xz\nHj+6+Rds2bLZWsfmzNyXvEXvhZgGdym4tXFTDaaqZtI3juwz5ieMVarjGx76jaMPw308F0ypwCXM\n6akK6S0DZLvI4Rw4cGArmOKTvXXrVkKhEOPGjRtSicnOPseBAwfFRbYS0V44/aQTuP2ue5EkCVmW\nURSFM869AJ/f3AVcGoxUKSYqEQGkirEoXZtBNyF1ldakXGptZKzSpV9QxnuejRTdrCFo2PDejCm1\ngIAItu2Utf8+c/ns81XJv4OBAN/4zveYvdfcAZ5lAjIXs6LH1AWl4PIilNSiBtpRErkvudPLmW1E\noHfqzCVAMxaqECR6VJlmnUttAmY02c9WItoHc3XmKgksOuEkbvjxzyyIRgeLlYigM1cBkDXlleiv\nRIgbTNiJPO/W9QKtziARO5VsUzezRhApXlIN9lLgJpSI48bU09XTQ29fPxvWr+PXf/yzaSRTThiQ\niGZCEATE0pEoXRtTLSwEEdGX6geq2MhcpTNurFLt0/K9xO2iWnTRqcR4K5TeCz1zE7+YkBwlovVQ\ncxgVWQA7jX8O7ANTSMSTTz6Zjz76iA8++IB58+YV7TkOHDgoLuxczgyw//x5jK0fzXe+eQ2dnZ2c\neMk11hKIYLkaC0D012Ydk0pqdAtK+5CI+r5wCVXKQIorwaxG4whJBaK9sh723Xsv7v7bP7jr1l9y\n5Xd+SCQS4ac/+gGPPPWctYvKzNw3Oe9BU2TJgXaIl/FL/kokT0rtYadS/qQS0ZMyDKkWXfTkMIj6\nspOIM3ebitfr4cRjjqS5pZU3332f++++k4v/5wrGNoyzLC7V4r5wQNxUSED/jUkl1SmXWhspEdM2\njuIE+kjRnet0E5WI9kRtTTUNY0bzj7v/yBPPLeb//ngHH773Lu+9/Rb7LVhobXBZY765eQ8glI6E\nro0pZ2ZfRcaYb6PcT475qdYL9ZKHTiWWJLATMMuZGdKViIrReObAgYOC4e9//zuhUGE3Ny644IKi\ni/BMIREdOHCw68GoAXghypmNJuZiji7p+TapFkWR67/1dS654Fzcbjeb5bLsc3LMwwyb7Oc4Wcyn\n2bjRTqJkXq8uQZSQO9dnHXeX1SRjUyIBRFHI+f81fN3hxpWjwXy3QWnbBLePNyLpu/JjJQ/b5AiS\nIKQ1sI8WaedWH22hmuxDHgYTA+Tc/vvM5RuXX8KFZ53GipWrue+RRzn+5FNBUQdt5G9qk30T8x5A\njYUQxMQ0R/vOXCXViN4y3TmRtP5PZiBX7nclHWq1zymqKPQk2g8AmVSiS4Bic8TZ5cw7k/vZx4zy\nMqehUI68c7vdHH/UEfzplzezet16Dj7hTE445TRc0s5PbXPlgujKI3cNlYgmtrAQJeSuJoSSGtRA\ne/K41gc3pUQURMn03DdCT0xnKOT3IEoCLQbK2wRcGWN+sajt9HLm/GGU97l+Y/Mx0wL4x11/ZJ+9\n5jBhXAN/vOuvBEMhbrv1N1kkYj7fr9G5wx7zTd44EkQJsXx02lgp+SuT7sxg0ZhvYEAiSkKqnNnn\nSc6Dc42xrgwTuUIg1/wgFE0pgBWnnNmBg6Lim9/8Ju3t7YOfmAdOPvnkLy+JqMSt7e3kluvAwZcd\ndi9nBvjqJRdZHUIGMheUgo7YMAdi2SjYsSLtWPMLvyTSvgmwV0lnTzS7nHmiQT+x71SM4++dbabt\nzYtpqh7rF956TJk4gZ98/1oAfvDtq7n42v+lsqra4qhI9t9MYgB1UTEguP3EWj5LD8FTSnDbsuTf\ndjKY0PdEBI0sOcZfzcP9rclFcZUoISoi3cRMUZnaWYkIcPetv6S0tIR9996LVe+9hmfiXlaHZIue\niEqgHTXUnXZMlSPEerXeoPbKe92YH8/94/w1PKvraQcwRShhrRqwpCei3TJ//tw9ARhRV8tVl13I\n9t4oX/v6t6wNCrJy3+zWLWokgOCtRK/C1QyFUopIu+R+TFHoiW8c1cTLmbvDEYI5lH9mmaoArGpK\nERqyTUpqv2xQ+XK5MzvY9WBLtb6iKGzZsgWAysrKQc524MCBWbD7gtKWyOoLZ/7ejd6xMIFI+yak\nUq3MWY0GjUvwLECXgRIxs7RtvORllORhgVjNbpRiBvQLSjsZq4CmGvT5tMVaRXm5PQhEyMp9wWQl\noiCImju5DsGtS+h896/Jv+2yoJRVNanCTZS2CYJAfcZntr+3gnNdoxkpmPNZ2n3MLy1NlSk2jhtr\nYSQ62KCcWSobBRn9BFtf/i3Rrq2AzUo643nvEgTKXNrvY52UroEtFUROFEdysFht2sIlXX1uX/z8\nhu9wy2//QOOEiVaHkp37Jm8cgUJkxb+T5iqgKRFlXd9nuxir9ERSBcuJjaNKr4frqhq4qqKeknj/\n4N3dJdTiNpVEXLE9ZUTmKBEdOCgutm3bRjAYNLy1trbyla98BZfLxWWXXcYLL7zAtm3b6O3tpaWl\nhTfffJPrrruOkpISjj76aDZs2EAwGKSurq7ocRdlNZswRUkgHA4nj1dVVeV8nqIotLe38/e//522\ntjZKSkpobGwsRogOHDjYCRSitO1Lh8xJtZlOhXFIBiQigL9+d/rWvgnYR42YIFIEoNyt/URViy7c\nuib38zzlyfPLBHNI2V1lQWkrZC0orSDQR6H0NuV8XLVJ3usXlNXe1MJ7L28Z55WO4MG4u/T+vgoC\nMZGzpFGmxOWM+TuBLBJRyL8sdJgw2jgCkErrkPvbbEOeQ0qBW+lxJ9W1LkHgivJ67uptIgrs4y1H\nignMF6qImrThld5v117qc7siazNSMplEdJdqP9CxlKN3YPOH9K99I/m3XUyFEqXMANXe1KbQeLeP\nDiVGIP5ZHl1STbRf5HW5M+s1ioXlW3ck7ztKROtgl0/eLnF8UZGr7DgSiXDGGWfw0Ucf8cYbb7D/\n/vunPV5WVsbIkSNZuHAhX/3qVznssMM45phjePvtt/H5ir9xWZQZfcIUJROnnHJKXq9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y8+n/feecvSMjBBHZhqLQR5rnSuJ/b5f4itf3nI/1ffiAkIOmWZ1SRiIBwlHFcgNseVWUdO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ZyRzWvL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\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xFpwp1QYjLgo5tSYTNQYjtUYjSln71SsK8vXm2Vtn8+i8q/l+/Ra+XbsJvV6PQiGkLkql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\nz7n9pHfiCKcT0YkTJ60m2Nu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Ua/Bs9n0KtSWipyE3Y9bZ7LAQhvKhvHMVYScLFy5UOgSi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\nznXO2AAAAABJRU5ErkJggg==\n"
          }
        }
      ],
      "source": [
        "# downsample the field data for more clear quiver plotting\n",
        "field0_data_resampled = field0_data_centered.sel(x=slice(None, None, 7), z=slice(None, None, 7))\n",
        "\n",
        "# quiver plot of \\vec{E}_{x,y}(x,y) on plane with Ez(x,y) underlying.\n",
        "f, ax = plt.subplots(figsize=(8, 5))\n",
        "field0_data_centered.isel(y=0).Ez.real.plot.imshow(x=\"x\", y=\"z\", ax=ax, robust=True)\n",
        "field0_data_resampled.isel(y=0).real.plot.quiver(\"x\", \"z\", \"Ex\", \"Ez\", ax=ax)\n",
        "plt.show()"
      ],
      "id": "15f26b12"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "##### Stream Plots\n",
        "\n",
        "Stream plots can be another useful feature, although they do not take\n",
        "the amplitude into account, so use with caution.\n",
        "\n",
        "##### Time Lapse Fields\n",
        "\n",
        "For time-domain data, it can be convenient to see the fields at various\n",
        "snapshots of the simulation. For this, it is convenient to supply the\n",
        "`row` and `col` keyword arguments to plot, which expand all plots on a\n",
        "row or column."
      ],
      "id": "53d42983-fddf-4649-82aa-4b85f7155712"
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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J0qeffiqp6ORNdHS03Y5R8mRQRYqPn5ycXOrutOK5qLJ5SJIG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\n3XffVavNt99+azp27FgqHgcHBxMeHm5++eU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          }
        }
      ],
      "source": [
        "field_time_data = sim_data[\"field_time\"]\n",
        "\n",
        "# select the data and downsample and window the time coordinate to reduce number of plots.\n",
        "time_data = field_time_data.Ez.isel(y=0).sel(t=slice(1e-14, 5e-14, 1))\n",
        "\n",
        "time_data.plot(x=\"x\", y=\"z\", col=\"t\")\n",
        "plt.show()"
      ],
      "id": "a53c495e"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Export data to csv\n",
        "\n",
        "In many cases, you might want to save the monitor data as a .csv file\n",
        "for future use. This can be done in multiple ways. Here we demonstrate\n",
        "two methods as examples.\n",
        "\n",
        "For saving a 2D array such as a field plot at a specific frequency or\n",
        "time instance, we can first convert the\n",
        "[xarray.DataArray](https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html)\n",
        "to a\n",
        "[numpy.array](https://numpy.org/doc/stable/reference/generated/numpy.array.html)\n",
        "using the\n",
        "[to_numpy()](https://docs.xarray.dev/en/latest/generated/xarray.DataArray.to_numpy.html)\n",
        "method and then using numpy’s\n",
        "[savetxt()](https://numpy.org/doc/stable/reference/generated/numpy.savetxt.html)\n",
        "method to save the 2D numpy array as a .csv file. The spatial\n",
        "coordinates can be saved as separate .csv files in the same way."
      ],
      "id": "a969130b-878a-4908-bef9-cca7ed50ec47"
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {},
      "outputs": [],
      "source": [
        "# save Ez to a numpy array\n",
        "Ez = Ez0_data.real.squeeze().to_numpy()\n",
        "\n",
        "# save x coordinate to a numpy array\n",
        "x_array = Ez0_data.real.coords[\"x\"].to_numpy()\n",
        "\n",
        "# save z coordinate to a numpy array\n",
        "z_array = Ez0_data.real.coords[\"z\"].to_numpy()\n",
        "\n",
        "# save the numpy arrays to .csv files\n",
        "np.savetxt(\"./data/Ez.csv\", Ez, delimiter=\",\")\n",
        "np.savetxt(\"./data/x.csv\", x_array)\n",
        "np.savetxt(\"./data/z.csv\", z_array)"
      ],
      "id": "5c682c8f"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "If the data you want to save is higher dimensional such as the field\n",
        "distribution at multiple time instances, you can consider export the\n",
        "[xarray.DataArray](https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html)\n",
        "to a csv file using its\n",
        "[to_dataframe()](https://docs.xarray.dev/en/stable/generated/xarray.DataArray.to_dataframe.html)\n",
        "method."
      ],
      "id": "692efcc9-b9da-450a-bf5f-939bfa5bab7c"
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {},
      "outputs": [],
      "source": [
        "df = time_data.to_dataframe(\"value\")\n",
        "df.to_csv(\"./data/time_data.csv\")"
      ],
      "id": "5b0e81cf"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "It will stack the array coordinates to generate a 2D table. Import the\n",
        "csv file to check the content:"
      ],
      "id": "d335d712-1a0f-4416-aff9-534081bebd36"
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "\n",
              "<p>108324 rows × 5 columns</p>\n",
              "</div>"
            ]
          }
        }
      ],
      "source": [
        "import pandas as pd\n",
        "\n",
        "df = pd.read_csv(\"./data/time_data.csv\")\n",
        "display(df)"
      ],
      "id": "100724f7"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Load data\n",
        "\n",
        "When running the simulations, we have specified the path to save the\n",
        "simulation data, i.e. `path=\"data/simulation0.hdf5\"`. It means the\n",
        "simulation data is saved as a .hdf5 file, which can be loaded into a\n",
        "[SimulationData](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.SimulationData.html)\n",
        "object in the future for analysis. Here we demonstrate loading the .hdf5\n",
        "files using the `from_file` method. If you performed a mode solving\n",
        "simulation instead of a FDTD simulation,\n",
        "[ModeSolverData](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.ModeSolverData.html)\n",
        "can be loaded in a similar fashion."
      ],
      "id": "d09836b4-7081-453d-9d23-13dbd81e297c"
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {},
      "outputs": [],
      "source": [
        "sim_data0 = td.SimulationData.from_file(\"data/simulation0.hdf5\")\n",
        "sim_data = td.SimulationData.from_file(\"data/simulation.hdf5\")"
      ],
      "id": "9d69b8f0"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "After the simulation data is loaded, you can perform postprocessing as\n",
        "discussed above such as plotting the field distribution by using the\n",
        "`plot_field` method."
      ],
      "id": "10c20d55-8e6c-4ae3-9cac-63a49adf366a"
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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C1E+bw3682+LMeyIiIiIiIiIiIiIiF8OZ90RERETugjPviYiIiIjcDBesJftx5j0RERER\nERERERERkYvh4D0RERERERERERERkYth2hwiIiIid6F22hxe7ktEREREZBvBBdLmMP2l2+LMeyIi\nIiIiIiIiIiIiF8OZ90RERERuQiMI0AhqztrhjB0iIiIiIlup24cHNKrWTpnBmfdERERERERERERE\nRC6Gg/dERERERERERERERC6GaXOIiIiI3IXqC9YybQ4RERERkU1cYcFapr90W5x5T0RERERERERE\nRETkYjjznoiIiMhdCIK6s98FztghIiIiIrKJAPWvYGU33m1x5j0RERERERERERERkYvh4D0RERER\nERERERERkYth2hwiIiIid6H2grVMm0NEREREZCMuWEv248x7IiIiIiIiIiIiIiIXw5n3RERERO6C\nM++JiIiIiNyLAPVn3rMb77Y4856IiIiIiIiIiIiIyMVw5j0RERGRuxB0GTc16yciIiIiIhsILtCP\n5tR7d8WZ90RERERERERERERELoYz74nI7WzatAkxMTEAgG7dusHTk29lRK7i7NmzuHjxIjw9PdG1\na1doNBq1m+QQ0dHR2Lx5MwCgYcOGKFq0qMotIiIicm337t3D/PnzAQCVKlVCu3btVG4REenpdDp8\n//33SE5ORu3atdGkSRO1m+QwO3fuxPHjx+Hr64thw4Zl2e8rlHVwxIuIVLVu3TrExcUBAHr06GHV\nB+eXX36J//77DwDQvn175MiRw6FtzErseb6zo+vXr+P27duIjY1FgQIFUKFCBQQHB7tdvc4+jvj4\neLRp0wbh4eH45JNP0K1bN4fVpbagoCB89913OH/+PFq0aIFt27Y5p2KdwAVriYhIdbdu3cKSJUsA\nAG+88Qbeffddi/vcuXMH48aNA5DRD+XgvfXseb6zo/v37+Pw4cOIiIiAp6cnihQpgoYNGyJ37txu\nVa8ax/H7779j5MiR8PDwwMWLFx1WjysoWLAgvv76a+h0OuTOnRu9e/d2fKWCyn14gFlz3BgH74lI\nVUOGDMGdO3cAcBa9M/D5Nm/+/PmYPn06Ll++bPC4p6cnmjdvjhkzZqBChQouX69axzFt2jSEh4fD\n29sbEyZMUDy+K9FoNJg8eTLatm2L7du3Y+PGjWjTpo3azSIiInKKa9euiQPxvXv35mCyg/H5Nu/G\njRsYOHAgdu7cCeGViQZeXl7o0qULZs+ejbx587p0vWodx7Nnz/DVV18BAHr16oVy5copGt/VVKxY\nEd26dcOSJUswevRodO3alRMCyaUx5z0REWV7Op0O3bt3x0cffWQ04A0AaWlp2LJlC6pXr44VK1a4\nbL1qHQcAPH78GD/88AMA4IMPPkCRIkUUje+KWrdujYoVKwIAvvrqK6MvWQ6hE9S/EREREbmIAwcO\noEqVKtixY4dsXyw1NRWLFy9G5cqVcevWLZetV63jAICZM2ciKioKGo0GI0eOVDS2qxo1ahQAIDIy\nErNnz3ZOpezDk5045ZKI3E6bNm1QtWpVABkzEIgya9iwYVi2bJn4bx8fH9StWxe5c+fGjRs3cO7c\nOQBAcnIyevbsiaJFi6J27douV69axwFkdPrj4+MBAP/73/8UienqNBoNhg4dit69e+P8+fNYs2YN\n3nvvPbWbRURE5JJee+01jB07FgDEvjxRZty5cwft2rVDQkKC+FjdunVRvXp1pKWl4eDBg7hw4QIA\n4MGDB2jVqhXOnj0LPz8/l6pXreMAMmbd//jjjwCAVq1aZflZ93qVK1fG22+/jT179mDWrFkYOnQo\nAgIC1G4WkSwO3hOR25k6daraTaAs5Pz58/jpp5/Ef7ds2RILFixAvnz5xMcOHTqELl264MGDB0hJ\nScHAgQNx6tSpTK0ZoHS9ah0HAMTFxeGPP/4AANSpU8chKXlcVdeuXTFkyBA8f/4cP/zwAwfviYiI\nTHjttdcwefJktZtBWcjo0aMRExMDAMiRIwdWrlyJli1bGpT566+/0L9/f+h0Oly7dg0//PADxowZ\n41L1qnUc+rjPnz8HAPTt2zfT8dxJ3759sWfPHkRHR2P+/Pn47LPP1G4SkSwO3lOmpKen4+LFi4iI\niEBcXBzy5s2LggULomTJkiZnREdGRmL79u0AgOLFi6NevXritnv37uHGjRt49OgR0tLS8MEHH8jG\niI+Px9mzZ/H48WNotVqEhISgatWq8PHxsan9Op0ON27cwM2bNxEbG4scOXIgf/78KFCgAF577TWn\nxXBme6WuXr2KO3fuICYmBkFBQShTpgyKFy9ud/vCwsJw8+ZNREVFIWfOnChYsCBCQ0MRGBhoVHbJ\nkiXQ6XTiTF39Y1qtYTYvb29vdOnSxeCxTZs2iZ0ba/O2Z/acWbFiBVJSUuDl5YWuXbuKjz979gzn\nz5/Hw4cPkTNnTlSsWNFh6UIePHiAiIgIPH78GM+fP0dwcDBKly6NYsWKWdw3M8+3JZs3b0Z0dDSA\njAFja3MwLl26FOnp6dBoNOjcuTO8vb1tqlcp3377LXQvFg+qWLEi1q5dC19fX4My9erVw9q1a1G3\nbl2kp6fjzJkz2LRpU6ZynCtdr1rHAWScS8+ePQMA9OzZ02S5+Ph4rF27FgBQoEABNGvWzGzcO3fu\n4ODBgwAyjklulp6p1+bTp0/x33//4fHjxwgJCUHFihURFBQkW09qaiouXryIu3fvQqvVonz58ihZ\nsqTZtukFBASgY8eOmD9/Pg4fPowLFy6gUqVKVu1rF0HHBWuJKNMEQcCFCxdw7tw5PHnyROwbFS1a\nFG+++abJfvz69evF2Z89e/YU+yDR0dHYt28fIiIiEBMTg2rVqqFVq1ZG+6ekpODIkSO4fv06oqOj\nkStXLpQoUQL169c3+syy5Nq1azh9+jQePnyIlJQU5M2bF/ny5UNoaKiY0swZMZzZXr2wsDAcO3YM\njx8/RmpqKvLnz4/atWujVKlSdrXt/v37OHr0KB49eoSEhAQUKFAABQsWRI0aNYwWyDx79iw2bdqE\n69evGzwmNyhft25dNG7cWPz3vXv3MH/+fABApUqVrFqwNrPnzKVLl7BmzRoAQO3atdGkSRMAGakE\n9+3bhxs3biAuLg4hISFo0KCB4t/fgIznV98n0X8XyZcvH2rWrGnxb5aZ59uShw8f4q+//gIA5M2b\nFwMGDLBqv9OnT2PLli0AMmYvt23b1uo6lXTv3j2DK07/7//+z2jAGwD69OmDmzdvYtq0aQCAWbNm\nYeTIkXav/aV0vWodh55+Ak6uXLnMrqWwd+9eHD58GADQsWNHlC9f3mzchQsXimutffHFF8iVK5fB\ndlOvzeTkZOzZswdhYWFISUlBaGgo3n77bZM56c+cOYOLFy/i0aNHCA4ORoMGDax+L2zXrh38/f2R\nkJCA3377zbGD9y6xYC378W5LILLD9evXhY8//lgICgoSkLFmtcEtV65cQrdu3YR///3XaN+DBw+K\n5bp27SoIgiDs3btXqFWrllGcV124cEFo166d4O3tbVTW399f+OCDD4Rbt25ZbH98fLwwfvx4oWDB\ngrLtByAULVpU6Nevn3Dz5k2HxbCWknXFxsYKEyZMEIoUKSIbp1y5csL8+fMFnU5nVdtiY2OFKVOm\nCMWLF5eN5+npKTRu3FhYsGCBwX4eHh4mj+XVc+lVFSpUELc/f/7cbPuUOmdy5colABACAgIEQRCE\nyMhIoVevXoKvr69R3AYNGgjnz5+36vmzZNu2bcIHH3wgvPbaayafozJlygh//vmn2b9ZZp5vS4YN\nGybuP3HiRKv22b9/v7hP9erVba5TKQkJCUJAQIDYllWrVpkt36lTJ7HsBx984DL1qnUcevXq1RMA\nCBqNRnjw4IHJcrdv3xbrbdiwocW4S5cuFcuPGjVKtsyrr83w8HDhvffeE7y8vAzObT8/P2HIkCFC\nUlKSuG9qaqowceJEoUCBAkavhXr16gmXL1+26vjXrVsn7jdixAir9rHF8+fPxfgPjs8W0m/8rdpt\nwfd9BQBCrVq1FD9OInK8hIQE4bvvvjPbp9T346Xvl3o9evQQy+3du1eIjo4WPvzwQ6N+Vv/+/Q32\ni4uLE8aNGyfkzJlTtk4/Pz9h6NChQnR0tMVj2Lp1q1C5cmWz/ZnChQsLgwYNcmgMaylZ1/r164Wq\nVauajFO9enVh9+7dVrdtw4YNwptvvmkynqenp9CoUSPh9OnT4j5//vmnVX1Kuc9u6ffAHj16mG2b\nUueMtC8xbNgwQRAE4Y8//hDy588vG7dLly5WnYeWpKSkCJ988olQsmRJs89RlSpVhG3btpmMk5nn\n25K0tDTxO6FGo7H6O2ubNm3EOpctW2ZTnUr64YcfxHaUKlVKSE9PN1k2KirKoK+8Y8cOl6lXreMQ\nBEE4fvy41a/JUaNGiWWXLl1qMXbDhg3F8rdv3zba/uprU6fTCTNnzpQdYwoODhZ++eUXg/0PHjxo\n8v2wa9euFscJ9Dp27Cjud+7cOav2scXMmTMFAEK7Zm+o2odPv/G30ODNMgIA4e+//1b8OMmxuGAt\n2Wzu3LmoUKEC/vnnH3H286uePXuGZcuWYefOnRbjzZkzB02aNMGxY8eMtukkv0zOmzcPb7zxBtav\nX4+UlBSjsgkJCVi0aBEqVaokzgSQ8/z5c9SvXx8TJ07EgwcPTJa7d+8e/vjjD5w+fdohMaylZF0X\nL15EpUqV8PXXXyM8PFy2zJUrV/Dhhx+iW7duss+z1Llz51CpUiWMHTsWYWFhsmXS0tKwd+9e/P77\n72ZjOYJS58yrrl+/jipVqmDBggVISkoy2n7gwAHUq1cPZ8+ezUzzAWTMWFi0aBHu3r1rssy1a9fQ\nt29fdO7cGampqZmu01b9+vUT7//zzz9WLdo5d+5c2f2d7fDhw+LVCP7+/hZnoHfv3l28v23bNpep\nV63jADIWqtXPwqlcuTJCQkIyFS8z/vvvP1SpUgWrV682ei0kJiZi9uzZaN++PdLT0xEfH48WLVpg\n/PjxePTokVGsQ4cOoUGDBlYtCNakSRNx1tPq1auVORhTdDp1b5yxQ+S27t27h7p162LEiBFm+5T6\nfnxiYqLZeE+fPkWNGjUwf/58o36WtA//8OFD1K9fH5MmTRJTM7wqMTERP/zwA2rWrGmyTwlk9DPe\neecdnD9/3mzb7t+/j8WLFzsshrWUqis9PR2ffvop2rVrZ7Z/eerUKTRr1gz/93//Z7a+1NRU9OvX\nD23btsXJkydNltPPTv/vv//MxlOakufMqwYNGoR+/frh8ePHsttXrFiBJk2aWPweZElycjL+/vtv\n3Lx502y5c+fOoVWrVhb/Zo7g4eGB3r17AwAEQTDon5vy4MEDbN26FUDGbP0OHTo4tI3m7NmzR7zf\noUMHoyuKpXLnzi3O7AaA3bt3u0y9ah0HAPGKWABo2rRppmJlVp8+fTB8+HDZMaaoqCh89tlnYorQ\nZcuWoUmTJibfD5cvX4527dpZ9b1Uetzr1q2zp+nWEaB+P57cFtPmkE3+/vtv9OnTx+CxvHnzolq1\naggKCsKTJ08QERGBmzdvWjWIePr0aaxevRo6nQ7e3t548803UbhwYaNLdbdu3YqPP/7Y4LHSpUuj\nQoUKSE9Px9mzZ3Hv3j0AGWkZ2rdvj2PHjqFatWpGdU6cONFggDsoKAhVq1ZF/vz5kZqaiocPH+Lh\nw4e4ffu2yXYrEcNaStUVFhaGBg0aiOlNAKBIkSKoVKkSAgMDER0djZMnT4rbV6xYgTx58uCXX36R\njXf9+nU0bNhQTJUBAL6+vqhevToKFiyIhIQERERE4NatW4iNjTXav0ePHkhPT8e6devEQcf333/f\nKPe2vYvGKHnOSKWlpeHdd99FREQENBoNKlasiNKlS0On0+H06dPiIHtsbCx69+6NU6dO2dX+V3l4\neCA0NBT58uVD/vz54eXlhYiICJw+fVr8AWH16tWYMGGC7GW0jny+y5Qpg8aNG2Pv3r24ffs2du/e\nbbbzFxsbi1WrVgHIyOkoHUjWu3z5smLPHQCULVsWb775ptHjFy9eFO/XrFnTYuqehg0bivefPHmC\nx48fI3/+/Da3R+l61ToOANi+fbvYMZbGdba0tDS0a9cOT58+hYeHB6pVq4bixYvj+fPnOHLkiPg+\ntG3bNixYsAD79+8XvywVL14clStXhpeXF86cOSMO2EdGRmLw4MHYuHGj2bpz5MiBatWq4cSJE7h1\n6xauX7+O0qVLO/aAiYhsEBcXhxYtWuDy5cviYzlz5kTDhg1RokQJeHh4ICIiAvfu3cPJkyet6scP\nGjQIERERAIC33noLNWrUQFBQEDQaDWrUqAEgY9C5U6dOOHPmjLhfgQIF0Lx5c4SEhODJkyfYsWMH\n7t+/DyBjQkKbNm1w8uRJo5QosbGx+OKLL8TPHB8fHzRs2BBlypRBjhw5EB0djUePHuH27dsmB8uV\niGEtJesaNmwYfvvtN/HfefLkQcOGDVG8eHFotVqEhYVh586dePbsGXQ6HQYNGoTSpUujRYsWsvG+\n+OIL/Pnnn+K/PTw88NZbb6Fq1arIkSMHHj9+jAcPHhh8N9B74403MHbsWNy6dQtLly4FkLH4rFy6\njQYNGlj3ZEkoec68avny5eIEphIlSqBhw4bIly8fnjx5gm3btonn8+nTpzF79myMHDnS5vbLqVix\nIooXL478+fMjb968SExMxJUrV7B//36kpKRAEAQMHToUNWvWNOqvOvr57tOnDyZPnoz09HTMmzcP\nEydOhIeHh8ny8+bNQ1paGgDgww8/lO1z/vLLL4iKirK5Lab079/fYA0nPemPSnXq1LEYp169etiw\nYYPRvrZSul61jgMAduzYId635/xRyrJly8TXdIUKFVCvXj3kypULt2/fxsaNG8Xvu2PGjEGVKlXQ\nu3dvpKSkIE+ePGjevDmKFCmCZ8+eYdu2beL38T179mDJkiXo0aOH2bql31+2bduG8ePHO+goiTJB\nvUn/5G5u3rxpkCKkSJEiwtq1a2VTdcTExAhLliwRdu7cabRNermk/tazZ08hMjJStt7ExESDS3tD\nQkJkLw9btmyZkCNHDrFcpUqVZNsWGhoqlpk2bZqQkpIiW+/9+/eF33//3eAyUSVjWEupuurWrWvw\n3Ozbt8+oTFJSkjBr1izB09NTLHvy5EmjcjqdTqhWrZpYxsvLS5gyZYrspWmpqanCnj17hN9//122\nXcWKFRPjpKammnsqRJbS5ih9zgjCy9Qc+tubb74pXLhwwaCMTqcTfvzxR4NyR44cseqYTFm8eLGw\ncuVKk5fvPnv2TPjyyy/F+nx9fYUnT56YjGfP822NZcuWiXG7detmtuyvv/4qlu3Tp49sme+++87q\nS4StuQ0cOFC2ngEDBohl+vXrZ9WxSi/lPHDggFX7OLpetY7j1br/+ecfs2UdmTZHf2vQoIHRZd8x\nMTFCixYtxDKBgYECACFv3rzChg0bDMrqdDph1qxZYlmNRiPcuXPHYltteR5sZZA25+gsIf3aX6rd\nFszsIwBMm0PkbgYOHGjwXjls2DDh2bNnsmVjYmKEpUuXComJiUbbpGlzAAiFChUSDh06ZLLe3377\nzaD84MGDjeKmpKQIX331lUG5SZMmGcXauHGjuL1ChQrC/fv3TdYbEREhLFmyxCExrKVUXXv37hXj\neHp6CjNnzhSSk5ONysXGxgofffSRWLZs2bKy6Te2bt1q8Fw3atRIuHbtmmzd+n78f//9ZzZO7969\nTR6blDVpc5Q8ZwTBsC8BQPDx8RH+/PNPo+cmKSnJIK1gqVKlrDomU5KTk4X58+ebTSf48OFDoXXr\n1mKd7dq1M1nWnufbWtI0OJs2bTJbtlSpUmLZK1euyJaxlCrI1tur37kEIePc1Gq1Zsu8avXq1WL5\nMmXKWPfkOLhetY5DEDLSqOlTqwYGBlos78i0OUBGSlu5uNeuXRNCQkIM3geBjPRscXFxBmWTkpKE\ntm3bGry/WZKeni74+fkJAARvb2/Z99fMENPmNH1D1T58+rW/mDbHjTFtDllt+vTp4i+ehQsXxokT\nJ9C+fXujmbtAxmIn3bt3t+rSq06dOmHBggUmF7lcunSpeGmvr68vdu7cKbvIYdeuXbF27VqxPRcu\nXDD4JVnv4cOHAICSJUti1KhRJhfkKlSoEPr164c33njDITGspURdu3fvFtNalC9fHocPH5adIevj\n44OhQ4caXLb5888/G5XbtGmTeDWARqPBmjVrMGbMGNlFZDw9PdG4cWOnpkZR+px5Vbly5bBnzx6j\nxcU0Gg0GDRpksODrvn37MnEkGbPjO3XqZHKhzcDAQEydOlWcGZSUlISVK1dmqk57dOjQQZwRs3bt\nWrOzbVwlZQ4Ag9lkhQoVsmofablXZ6OpVa9axwHAYGacpYWrHK1SpUrYtm0bSpQoYfB4rly5sGDB\nAnF2WGxsLDw9PbFt2zajFEMajQZDhw4VL0kWBAH79++3WLf0/UDJq0ZepdHp1L0xbQ6R23n06JG4\nKCUATJ48GTNnzkRgYKBs+Vy5cqFbt24WZzF7enpi06ZNqFu3rskyP/74o3i/R48emD17tlFcLy8v\nTJo0CZ9//rn42Jw5c8TZvXrSvkWfPn3Mft4VLFhQ9so+JWJYS6m6pk6dKt7//fffMWzYMNnZzjlz\n5sTff/8tzra/evUq9u7da1RuypQp4v369etjx44dJq8W0/fjnfn5ruQ5I+fnn39Gnz59jFKT+Pj4\nYO7cuciZMycA4MaNG+L3MHt4e3ujV69eZtMJFihQAGvWrEHZsmUBZHzHiouLs7tOe0n749L3ilfp\nF/gFMmYr69uthufPnxuk57LmCtICBQqI96VXj6tZr1rHAWR8901PTweQ8f1Wbb/++iu6detm9Hjp\n0qUNZsOnpaWhbdu2+O2334yuGvfx8cGvv/4qXj1y7Ngxi+8LWq1WPJdTUlJw6dKlzB6KLA0E1fvx\nTH/pvpg2h6yi0+kMBgRnz56NggULZjquRqMRV0s3Zf369eL9Tz/91GjAVKpp06bo0KGDuGr5+vXr\njS4XLVSoEG7evIlHjx4hMjJS9hI8S5SI4cy6pDk0p0yZInZKTenbty/GjRuHyMhI2Tx6y5YtE+/3\n6tULrVu3trlNjqT0OfOqCRMmmFztHgC6deuGFStWAMhYQ8AZBgwYgBkzZgAAjh8/jgEDBjilXj1v\nb2989NFH+O6775CcnIxFixZh0KBBRuXOnz+Pf//9F0DGJb9yqWyAjEFgS5c42uKtt96SfVz6Bcnf\n39+qWNJypvKwWqJ0vWodBwCDXK6vvfaa3XGU8PXXX8PPz092W/78+VGrVi0cOHAAQMYPx9WrVzcZ\nq127duL7nzWv46JFi4r3rcmTT0TkLFu2bEFycjKAjEGQ0aNHKxK3TZs2Zieo3LlzR0zT4+HhgenT\np5uNN3HiRMydOxeJiYl4+PAhzpw5Y9BPCA0NFe/v2bMHgwYNMpsbWo4SMZxZV0xMDHbt2gUgYyLP\nqykhX6XRaPD5559j+/btADIGW6X5sSMjI3Ho0CGx7G+//WZyYpAalD5nXlWsWDExx7ucwMBANGzY\nEJs2bQKQMYDv6LV8vLy80LlzZzF1zenTp52evuSdd95B0aJFce/ePWzatAmPHj0yGCDWk07A6du3\nr8l4AwcOxNOnTxVrn9yA9qt9V2v6v9I+or0/kihdr1rHAcAg7W6RIkXsjqOE0NBQ9OzZ0+T25s2b\nG/zbXGqbQoUKoVKlSjh79iySkpIQHh6O4sWLm62/SJEiYv7827dvo2rVqtY2ncgpOHhPVrl48aI4\nMzMoKAgdO3ZUJG7ZsmVRsmRJs2WOHz8u3pf7JfZV3bt3FwdipfvqffDBB5gwYQLi4uJQo0YNDBgw\nAC1atEDlypXFBQctUSKGtZSo6+DBg+L9yMhIcfBdkPzyqr+v/39QUBAiIyNx//59xMXFGQxWS+N9\n8skn9h+cgyh9zrzK0uC+9MuaqUWd7ZGWloZr167hzp07eP78ucFCWtIZBfoZMc7Wr18/zJw5U1zw\nSm7wXjqbx1yn/5133sE777zjkHZK6WebALD6C7U0D6h0fzXrVes4UlJS8OTJE/Hfjvwh0xpyV9hI\nSQfYbSlrzetY+sVSn7PTIQRB3VkznLFD5HaOHDki3u/WrZtig9WvDqa8SroQqn5dK3Ny586Nxo0b\nY8uWLeL+0oHYOnXqoFKlSrhw4QI2btyIqlWronv37mjYsCGqVq1q1aCXEjGspURdR44cEWfl+vv7\nGwxmv9p319+XLsL+6mKp0nOhatWqql8x9yqlz5lXNWjQwOL5L/38z8ysZimdTofz58/j0qVLePLk\nCeLi4gxmW0uvYrxz544iddpCq9WiT58++Prrr5GWlob58+cb5fuPiYnB6tWrAQDBwcHo1KmTyXhD\nhw51aHvtJf3bC07szyhdr1LxpAuXm8qC4Cz169eXzeigJ71yKSAgwOI6dYUKFRIH4615HUu/w+jX\nvlCcAPajyW4cvCer6Bf2BDIWzVGq01+qVCmz23U6nUEHtHLlyhZjVqlSRbwv98Y7duxYXL58GStW\nrMDdu3cxZswYjBkzBr6+vqhSpQoaNGiANm3aoF69eiY/QJSIYS0l6goLCxPv25OmJCoqShy8FwTB\nYGBKvyCZq3DEOSPl6+uLXLlyWSyjp5/plhnnzp3D1KlTsWnTJnGxWXOU/MHAFqVKlcLbb7+N3bt3\n4/z580ZfoJKTk8WrQPz9/RWdWW8v6Y9SiYmJVu2TkJAgu7+a9ap1HNLZPt7e3mYXOHM0X19fkykg\npGX05GaUmSprzetYOgijxiXvRESmSPs2Ss4mLFasmNnt0v5YhQoVrIpZoUIFcSBWuj+Q8aPz+vXr\n0bFjR5w9exYXLlzAhQsXxG0VK1ZEkyZN0KVLF9SsWVM2vhIxrKVEXdLvYBcuXLD5qolX0xg66lxQ\nitLnzKusGaCUpiSyZuFmc54/f45p06Zh7ty5Ftump9QPBrbq3bs3Jk6ciPT0dMydO9do8H7JkiVi\nH7NXr17w8fFRo5miV/uuiYmJFvuz0u9Rlq5Ed1a9ah3Hq3FMXbnqLJZem9IrhPLkyWNxjEVa3prX\nsfT4rfm+TeRszHlPVpEOBgYHBysW99UcZa96/vy5+Guyj4+PxdybQMYMDD25zo+XlxeWL1+OXbt2\noVu3bsiTJw+AjFzhx48fx3fffYcGDRqgYsWK2Llzp2wdSsSwVmbrio2NtSr/oznSGd6xsbHiTBEf\nHx9FZygpwRHnjJSzByd/++03VKtWDcuXL7e6I6Ffm0IN/fv3F+9LL60FgDVr1ohfIrt27WrxRxBn\nkA72Wnt5r/SLsKXBYmfVq9ZxSGeNOSrtgLVsfW0q/VqWHr+9VzIQETlCbGyseN/e93s5lgZ7pOkg\nrB1gkrZP2m690NBQnDp1CmvXrkW3bt3E2Zjp6ek4d+4cZs2ahVq1aqFhw4Ymr0RUIoa1MltXZgdy\nX/0O4KhzQSmOOGeknNlXefjwIWrWrIlvv/3W6oF7QL1+fOHChcVUqNeuXTO40hqw/upZZ8mZM6fB\nAO7jx48t7hMZGSnet/f8V7petY7jVZmdcOjM+tVuK5EaOPOerCIdZHfmL5HSgeGUlBTodDqLnS7p\nbFJzA8tNmjRBkyZNIAgCrl+/juPHj+PAgQPYtGkTHj58iEuXLqFFixZYuXIl3nvvPYfFsJa9dUkH\nrz09PdG1a1eb65Z2nqXnQnJyMtLS0hRPFZQZjjxnnO3kyZMYOHCgwQBpgQIFULp0aeTJkwe+vr7i\ncy8IApYsWSLeV0v79u1RoEABPHr0CEuXLsWsWbPE51Ta6bd0Bcjly5cVXfSzbNmyspdRS1McWZOn\nPCkpyWDW2qsLo1pL6XrVOg7p6yU5ORmCIGTbDrX0igdLP0xnik6XcVMLL/clcjvSwZ3MrHFiK2n/\n0dorkqwZvNVqtWjfvj3at28PAAgPD8fRo0exa9curF69Gk+fPsWBAwdQr149nDlzRnadLiViWCsz\ndUk/Z2vWrImmTZvaVPerVzmrdS5Yy1HnjBoGDhwo5u8HMtLrVatWDUWKFEFQUBC8vb3FPtO///4r\nrlOgpn79+olrh82dOxf169cHAJw9e1ZM7VO3bl2L6ZZ++eUXo6s+MqN///5GqRm9vLxQrFgx8Qrz\nmzdvWrxaQ/oDmalFmi1Rul61jgMw7K9Kvw9nR87pxwvq9uHJrbnOiBu5NGl6AWknxNG8vLwQGBiI\n2NhYCIKAmzdvWvyAunbtmnjfmksjNRoNypQpgzJlyqBnz55IS0vDzJkzMXr0aAiCgEGDBqFDhw5m\nB4CViGEtW+vy9vZGUFAQYmJikJaWhjlz5mRqxrOnpyeCg4PFDtmVK1fMLgjrbM44Z5zlp59+Egfu\n69Wrhzlz5phMAxQXFycO3qvJy8sLH330EaZPn47Y2FisXLkSH374IW7fvo29e/cCACpWrIhatWqZ\njbN582aMGDFCsXYNHDhQdvBe2jk+ceKExTjHjx8Xfxzx9/e3uPiRKUrXq9Zx+Pv7I0eOHIiLi4Mg\nCIiOjrb66ixrfmRypy8S0ise5BZWIyJSi3Qw+Ny5c+jQoYNT6pW+F1r7/UFazlJ6M70iRYqgc+fO\n6Ny5M3744Qd06dIFmzdvxqNHj/D9999j5syZTolhLVvqkv7tChUqhMmTJ2eq7lfPBVfjrHPG0R49\neoR169YByOgb//PPP+jevbvJ74LTp093icH7li1bolixYrhz5w5WrlyJn376CYGBgfjzzz/FMtak\nYJ01a5bReguZ0b59e9l1lSpUqCAOeh85cgRt27Y1G+fw4cMG+9pL6XrVOg7pYszSNaysobNiENoV\nfyA0RXo1Q2Z+rCVyFKbNIau88cYbYl67O3fuKDoj1pq69bZu3WqxvLSMpYVM5Hh6euLLL78UB0kj\nIiLw33//OT2GknW99dZb4v2NGzdmuk5pXk79wkX2csTCQc4+ZxxFumjXypUrzebvP3/+vFUxnbFQ\nU79+/cSZRPrZ9nPnzhXrs2fdBUepU6eO+Jw8fPjQ4DmXs2HDBtl91a5XreMAYDDwb8tCrdZ8Sbh+\n/bo9TVKF9NilV0IoTie8nH2v1o2I3EqdOnXE+8uXL3faFXrSdZFOnDhhMXVIbGys+EP/q/tby9/f\nH5MmTRL/feDAAVViKFVX3bp1xfs7d+60mBbGEum5cObMGVy9etXuWNL0c0qdU2qcM45w4cIFcXCz\nU6dO6NGjh9m+ljUTLxzxfL9Kv3AtkDGBYunSpUhKShInCAUFBaFz584OqdsejRs3Fu+vXbvW7PMS\nGxuLXbt2ye6rdr1qHYf0ytvw8HCb9pUudisnLS3NYIKcq5Mev71XJFskQP0+PK+gdVuceU9W8fX1\nRZMmTcTFgIYNG4bdu3c7Jf9306ZNsX//fgDADz/8gE8++cTkIi7h4eEGqTlevbQ0MTER8fHxVs2u\nluZBl+b8VyKGtZSqq127dtixYwcA4Ouvv0bbtm2tyo8nCAIePHhgsLo7ALRp00Yc8J49ezZ69epl\n92CV9HLg58+fK7KmgpLnjJr0X9C0Wq3Fy4BnzJhhVUxHPN+vKlGiBJo2bYqdO3fi0KFDuHTpEubN\nmwcgIz9uz549LcYoX768ogvaSn/AkipQoADq1q0r5vWcOnUq1qxZI1v28ePHBnn8O3XqZHd7lK5X\nreMAMhaFvnjxIgDg6tWrqFSpklX7XblyBXfv3sVrr70muz0tLQ0rVqzIVNuc6cqVK+J96SLYRERq\ne/fdd+Hj44Pk5GRcuXIF33//PYYPH+7wekNDQ1G2bFlcvXoVqamp+Prrr/Hbb7+ZLD958mQxVYo+\nxYjUxYsXUapUKYvrGUkHSV9dxF2JGNZSoq6QkBDUqVMHR44cQVxcHP73v/8Z9FvNuXDhAsqUKWOw\nsGj+/PlRr149HDp0CDqdDgMHDsT27dvt+k4nTS0RHR1t8/5ylD5n1GJL3vpTp06JqWrMccTzLad3\n796YMGEC0tLSMHfuXOTIkUP8btmzZ0+rFjYdOHCg1WswWcPUFY3vvfee+F527do1LF26FO+//75s\n2ZkzZ4rnSlBQUKa+8yldr1rHUbFiRXh4eCA9Pd2gH2uN9evXY9iwYSa3L1++3OrUV2rT6XTiD5ne\n3t4W00IRqUIgstL+/fsFZPxeKAAQ2rVrJzx58sRk+SdPngg3b940evzgwYNijK5du1qs98GDB4K3\nt7e4T8uWLYVnz54Zlbt//75QtWpVsVxwcLAQHx9vUObevXtCrly5hIkTJwoPHz40WeeOHTsEDw8P\nMVZYWJiiMaylVF0JCQlCwYIFxe3Vq1cXLl26ZDJeWlqasG7dOqFatWrC1KlTjbYnJCQI+fPnF+OV\nKFFCOHXqlMl4ycnJwtmzZ2W3NWvWTIyzefNmkzGkKlSoIO7z/Plzo+1KnjN6uXLlEgAIAQEBFtt3\n+fJlMWaLFi2sOiY5NWrUEON88803smUSExOF/v37G7w2S5YsaTKmPc+3PVatWmVwvunv9+rVy2F1\n2mvFihUGz9+0adOMysTExAiNGjUSy+TNm1f2nBIEQbh69aqwcOFCYeHChcLatWudVq/S8aw1e/Zs\nMd64cePMlr19+7ZBG5s2bSrExcUZlUtNTRX69OljUPaLL76QjWnLa7N3795ivK1bt5otu3XrVrFs\n7969LcaWvraOHTtmsbwtnj9/LsZ+uG+aoLswR7XbwqkfCgCEWrVqKXqMRORYn332mfg+otFohHHj\nxpns88THxwvr1q0TkpKSjLb16NFDjLN3716L9f7f//2fwXv5uHHjhNTUVIMyaWlpwtSpUwWNRiOW\n+/rrr41ijR07VihatKgwe/ZsISoqSra+qKgog/fj9u3bKx7DWkrVtX37doPnsHv37kJERITJek+d\nOiV8/PHHgoeHhxAdHW20fcuWLQbxWrRoIdy5c0c2lk6nE44ePSpcuXLFaNvdu3fFGCEhIUJCQoLJ\nNulJvwf26NFDtoyS54wgCMLSpUvFMsOGDbPYxsGDB4vlzfXjzDl//rwYw9/fX9izZ49suc2bNwv5\n8uUzON7vvvtOtqw9z7e9OnToYPC9Qn///PnzDqvTXu+9957YvsDAQNnneuHChQbflU2dK4IgCL//\n/rswadIkYdKkScLhw4edVq/S8awl/S5869Yts2VHjRplcK5OmDBB0Ol0RuX2798v5M6d26Cs3FiA\nLa/N1NRUsWyxYsUsHle7du3E8idPnjRb9tKlS2LZmjVrWoxtq5kzZ2a8v79dRdU+vO7CHKFB9VIC\nAOHvv/9W/DjJsTjznqzWoEEDDBgwQJz9sH79euzevRvt2rVDjRo1kCtXLjx9+hQRERE4deoUDh8+\njMmTJ+PLL7/MVL0hISEYN24cxo0bBwDYtm0bSpUqhffffx/ly5eHTqfDmTNnsGTJEoNfd7///nvZ\nxUefPXuG8ePHY9KkSahXrx7q1q2LIkWKQKvV4uHDh9izZw/2798vXq5Wp04dFCtWTPEY1lKiLj8/\nP8ybNw/vvPMO0tPTcerUKVSsWBGNGjVC/fr1UbhwYXh4eODJkyc4e/Ys9u7di4cPHwKA7KWRfn5+\nmDt3Ltq2bQtBEHDr1i3UqFEDTZo0QaNGjVCwYEEkJCQgIiIC165dw44dO1C5cmUcOnTIKNabb76J\nnTt3AgA+/vhj9O3bFyVLloSXlxeAjF+/u3TpYtNzpvQ5o5bWrVvj33//BQB888032Lx5M9q2bYtC\nhQohOTkZFy9exOrVq/Ho0SPkzJnTqryCjni+5bRt2xYhISF4+PChQZqtvn37Zjq20jp37oy6deuK\n+SO//PJLbNiwAe3bt0dwcDCuX7+OhQsXGizwOmnSJJNXr+zYsQNffPEFAKBYsWLiAnWOrlfpeNZq\n1qyZeF/uNW6Kt7c3du3ahXLlyqF79+4oU6YMgIyFulauXImbN2+K+fQBYMWKFahQoQJKlSqFJk2a\nZKrNSktPT8exY8cAZFwF5dDL9nVCxk0tKlZNRPabNm0adu3ahWvXrkEQBEyaNAlz5sxBkyZNULJk\nSWi1WkRERODevXs4cuQIEhMTER0dbTBr2x79+/fHggULxLQgkyZNwvz589GqVSsUKFAAT548wfbt\n2w3yY5crVw4jR46UjXfv3j0MGTIEI0eORI0aNVC1alXkzZsXz58/x+3bt7F9+3aD2euffPKJQ2JY\nS4m6mjdvjsGDB+PHH38EACxduhQrV65E3bp1UaVKFeTOnRsJCQm4f/8+jh49itu3b5ttU6tWrdC3\nb18xj/n27dtRqlQpNGjQAFWqVEGOHDnw+PFjRERE4Pjx43j06BEWLlyIsmXLGsQpWrQoChcujPv3\n7+Phw4eoWrUqWrVqhTx58ojpE+vWrWtzWg+lzxk1VKpUCWXKlMG1a9eQkJCAt99+G/Xr18cbb7yB\noKAgREZG4sCBA2KqU32f2RxHPd9y+vXrh7Vr1wKA+DzXqlXL6qsrnWnatGnYvn074uLiEBsbiyZN\nmqBJkyaoXr060tLScODAAYN0ksWLFze7rtZPP/0k/l08PT0NUk05sl6l41mrefPmOHv2LADg4MGD\nVl9NnyNHDnz99ddYtGgRmjVrhvz58yM2NhYnTpwQvw9Iz+tPP/0UrVq1QufOnVGuXLlMt1tJ0nRl\nLVu2dFxFgsp9eHJvqv50QG4nOTlZ6NKli8GvqOZucrO2bZ15LwgZsyu6d+9udb3/+9//ZOM8ffrU\naHaDuVvevHmF//77T/EY1lK6rqVLlwp+fn5Wx9NqtcLChQtNxvvtt98ET09Pq2LVrVtXNsbly5fN\nxsiVK5fRPpZm3guCcueMnhoz76Ojo4XixYtbbLuHh4ewceNG8d/mZt7b83zba/To0Qaxy5cvr1hs\npT18+FAoUaKEVedKv379zMb6+eefxbKWZoYoWa8j4llLPyvL19fX7Eww6cz7Bg0aCLVq1TLZPo1G\nI2zdulUICAgweLxJkyYGMV1h5v2RI0fEsqZmEmaGwcz7PVMF3bn/U+228FvOvCdyV2FhYULFihWt\n7hvJzdq2dea9IAhCeHi4Qd/N3C00NFS4du2abJzly5cL/v7+Vrd/8ODBDolhLSXrSktLE4YOHWp1\nLABC5cqVhcTERNl4ycnJQq9evayOZer7wJQpU8zuN2rUKIPy1sy8FwTlzhlBUGfmvSAIwq5du6z6\nntSkSRPhhx9+EP9taua9INj+fNsrPT3d6DuIK8/U3b59u8FV16ZuefPmFS5fvmw2lvS8kxvLcFS9\njohnDWkftmfPnmbLSmfeT5o0SfD19TXZxgYNGgiLFy82enzlypViPFeZed+5c2ex7OnTpy3GtpU4\n875xZVX78Lpz/8eZ926MC9aSTby9vbFs2TL8+uuvFlfhzps3L0qWLKlIvR4eHli8eDFmzZplNkd3\noUKFMG/ePHz//fey24ODg3Hz5k1MnjwZRYoUMVtnq1atcOzYMaOcZ0rEsJbSdXXr1g0nT55E+/bt\nxRkacry8vNC5c2ecPn0aH3zwgcly/fv3x969e1GrVi2zbfPx8UHVqlVlt5UrVw5//vmnVfkTbaHU\nOaOmoKAg7Nmzx2CB4FeVKFECe/bssXqWgKOebzl9+/Y1OM9ccda9XoECBXDs2DGzVx3kyJEDP/74\no9ncq2rXq9Zx6NcnSEpKwrZt26zaR6PRYNWqVahQoYLRNm9vb8ybNw8tW7bEgAEDDLZJc766Cv3s\nNACKrtUgS1B7oSsuWEvkrooVK4ajR4/i66+/RlBQkMlyAQEBaN++vcVc7dYqXLgwDh8+jGHDhpns\nf3h5eWHAgAE4ceIESpcuLVumS5cuuHHjBkaMGIF8+fKZrK906dJYtGgRZs+e7ZAY1lKyLg8PD8ya\nNQu7du1Cw4YNzdZbq1YtLFy4EGfOnDH5N/T29sb8+fOxdOlSoxn1UlqtFrVr1zY5U3bkyJH47LPP\n4Omp7AX9Sp0zamrSpAm2bt1qcvHLgIAAjB07Flu3brX6+XPU8/0qrVZr0G8PDAxE165dHVpnZjRv\n3hynTp1C/fr1ZbdrtVp07NgR586dU3TWt9L1qnEctWvXFsdsNm3ahNTUVKv2K1WqFDZt2oQ8efIY\nbWvZsiU2bNiATp064fXXXxcf9/LyMvteqIakpCRxLb/y5cvjjTfecGyFXLCW7KQRBP71yD4pKSk4\nfPgwDh8+jAcPHiApKQn58+dHSEgIatSogdq1axsswKR37do1TJw4EUDGh8XAgQNtqjc+Ph579uzB\n8ePH8fjxY2i1WnGxxoYNG1p9eW96ejoOHz6MgwcP4u7du0hLS0NQUBDKlSuHpk2bWnXJmBIxrKV0\nXffv38eePXtw6dIlPHnyBBqNBvny5UO1atXQqFEj2Q9icy5cuIA9e/YgLCwMz549Q1BQEEJCQlCm\nTBk0bdrU5IKxek+fPsWmTZtw4cIFREdHIzk5GUBGx/b33383KDt69Gjcu3cPADB37lyLf3Mlzpn+\n/fsjPj4evr6+FhcKe/DggXgZY5UqVRS5pHH//v3Yu3cvwsPD4eXlhYIFC6J+/fpo2LAhtFotdDod\nevXqBSDjEsWZM2eajWfL822v9PR0hISE4MmTJ/Dx8UFERIRDFshVWlhYGDZs2IDbt2/j+fPnyJ8/\nP6pUqYLWrVtbNXC8c+dOzJ8/HwCQL18+/PDDD06p19HxzLlz5w5KliyJ9PR0dOnSBcuXLzfZJv17\nVcOGDbFv3z6kpqZizZo1OHHiBOLi4lCqVCn06NFDXCg7PT0dv//+O86fP49q1aqhV69eBoMRtrw2\n586di7179wLI+AJcuXJlk2XPnz8vLgTduHFj9O7dW7acIAgoUaIEwsLC8Nprr+HWrVuKL+YeFxcn\nLlr9cPcU5A82v4C1Iy3echI9xy5ErVq1cPToUdXaQUSZk5qaimPHjuG///7DkydP4OvriwIFCqBo\n0aKoXbu2yb7RqlWrxBQLvXv3trn/mZCQgP379+P69euIiYlBYGAgSpQogcaNG4vvc9ZIS0vDyZMn\ncebMGURGRsLHxwcFCxZEtWrVrE7toUQMZ7ZX6tGjRzh06BDCw8MRExODHDlyoFixYqhduzYKFy5s\nc7zLly+LKXLS0tJQoEABhISEoGbNmlYNtj169AgHDx7E7du3ERcXh/T0dAAZaVebN28ulrt79y7+\n+OMPAEDVqlXRqVMni7Eze85cuHBB7JfUq1fP4oSXLVu24MiRIwAyfpCXDj7aIz09HYcOHcKZM2fw\n7NkzBAcHo3jx4mjatKn4w8Tx48exceNGABkTsurWrWs2prXPd2YsXLhQ/G7x6aef4pdfflEkrqPd\nvHkThw4dQkREBDw8PFCkSBE0adIEBQoUsGr/n3/+GY8ePQIAtGjRwuRAutL1OjqeOTNmzMCoUaMA\nZKRGbtu2rWy5L7/8EtOnTweQkb6rW7duSEhIwObNm3Hjxg0EBASgVq1aeOutt8R9YmJisGjRIgiC\ngDZt2qB48eLiNltemzqdDuPHjweQkaLS3GK5ALBkyRJcunQJAPDZZ5+J3ytetXLlSnHS0+zZszF4\n8GCzce2hXyS+fePKWDOrj+LxbdGo9484cPom/v77b3z88ceqtoVsw8F7IiJyiC1btuDdd98FALz/\n/vtYvHixyi0iR+rSpQtWrlwJb29vhIeHy37Zlxu8d3c7d+4Uvyh/9913GD58uOJ1cPCeiIiInKlx\n48ZiP+3MmTMmr6Im9xcTE4OiRYsiLi4OrVu3Fn9IepXc4L27a9GiBXbs2IHAwECEh4fb9COytTh4\nT0pg2hwiInII6eXfffqo21EhxxszZgw0Gg1SUlIUu3rDHfz8888AgDx58qB///6Or1Dty2250BYR\nEVGWdvr0aXHgvlq1ahy4z+KCgoLw+eefA8iYfHXt2jWVW+Qcly5dws6dOwEAQ4YMccjAvQFBUL8f\nT26Lg/dERKS4LVu2iJ2h0NBQNGrUSN0GkcNJL3//6aefkJiYqHKLHO/SpUvYtGkTAGDUqFGO7/QT\nEREROVBqaqpB6hBTaQMpaxkxYgSCgoKg0+nw3Xffqd0cp5gxYwYEQUBwcDD+97//qd0cIrM4eE9E\nRJkWHh6ORYsW4e+//8bQoUPRuXNncdvQoUPNLpBMWcf06dPh6+uLyMhIcUZ6VjZ+/HgIgoCSJUti\n0KBBzqlUENS9ERERUZaydOlSTJ48GcOGDUOlSpVw6NAhAEDevHnx0Ucfqds4corg4GBMmDABADBv\n3jzcuHFD5RY51pUrV7Bo0SIAwOTJk5ErVy7nVMx+PNnJscuUExFRtvDvv/+iZ8+eRo+XKlUK/fr1\nU6FFpIbQ0FD8/PPP2LdvH8LDwyEIQpb94SYqKgp+fn7o0aMHPvnkE6sXSyciIiJyJfPnz8f27duN\nHp8yZQr8/f1VaBGpYeDAgXj27BmSk5Nx69YtlCpVSu0mOUxYWBi+/PJL+Pr6OiftJVEmcfCeiIgc\nokCBAli1ahUHNbOZPn36ZIs1DoKDg7Fw4ULnV6x2zkqB+TKJiIiyMo1GgyFDhnACTjbj4eGBcePG\nqd0Mp2jZsiVatmzp3Er1Oe/VxNn3bouD90RElGlFixZFjx49AAD+/v6oUqUK3n//feTOnVvllpEr\nyZEjh3ievP766yq3hoiIiIjef/991KhRA1qtFvny5UPTpk3ZTyMjb7/9Njw9M4YQK1SooHJriLIX\nDt4TEVGmVa9eXcwbSGRK3rx5eZ4QERERuZBevXqp3QRyA82bN0fz5s3VbgZRtsTBeyIiIiJ3oRMy\nbqrVr17VRERERERuS80+PLk1rdoNICIiIiIiIiIiIiIiQ5x5b8GVK1dw7do1RERE4NmzZ8iVKxde\nf/111KpVS/FFGKOjo7Fr1y6Eh4fDx8cHpUuXRuPGjcW8Ys6KQURERC5Kp/JiV1ywltxEVFQUjh49\ninv37uHBgwcQBAEFChRA9erVUbNmTWg0GsXqEgQBhw4dwsmTJxEVFYW8efOidu3aqFmzplNjEBER\nkYvigrWUCRzRlZGYmIj+/ftj9+7diIiIkC0TFBSEQYMGYcyYMZkexE9OTsa4cePw448/IiUlxWBb\n/vz58dNPP6Fr164Oj0FERERE5M62bduGsWPH4uzZs9CZ+JIcGhqKmTNnomPHjpmu79SpU+jVqxcu\nXbpktK1GjRpYsGCBxYUflYhBRERERFkTB+9lxMfHY+HChfDw8ECVKlVQokQJFClSBABw584d7Ny5\nEzExMZg4cSKOHDmCbdu2wcPDw666dDodunbtivXr1wMAqlatioYNGyI+Ph4bNmzA48eP0a1bN8TE\nxKB///4Oi0FERERE5O7Onj2L06dPo2jRoqhevTqKFCmCkJAQREVF4cKFC9i1axdu376N9957D3Pm\nzMFnn31md11nzpxBo0aNEBcXh4CAAHTt2hWhoaG4evUqVq5ciX///Rf169fH0aNHUbp0aYfFICIi\nIqKsi4P3Mvz9/bF8+XK0bNkSgYGBRtufPHmC3r17Y8OGDdi1axd+//13uzv+c+bMEQfdx44di8mT\nJ4vbvv/+e7z77rs4dOgQPv/8czRu3BhlypRxSAwiIiJyA4JO5bQ5vNyWXNu7776LDh06oGzZsrLb\nz507h1atWuHBgwf43//+h86dOyNfvnw215Oeno4ePXogLi4O+fPnx4EDBwzqHDJkCBo1aoSnT5/i\nww8/xJEjRxwSg4iIiNyAK6TNIbfFwXsZ/v7+6NKli8ntefPmxfz58xESEoLk5GSsX7/ersH7lJQU\nTJo0CQBQs2ZN8b5eYGAglixZglKlSiElJQUTJ07EokWLFI+RGWlpabh3755Yl1bLNZCJiChr0+l0\niI2NBQAULVqU68oQuZBKlSqZ3V6lShV888036N+/P5KTk7F7925069bN5nqWLVuGy5cvAwBmzpxp\n9GNB9erVMWHCBAwbNgxHjx7F9u3b0aJFC8VjZAb78URElN2wH0/uiGepnYKCgvDaa6/h+vXriImJ\nsSvGrl27EBkZCQAYOHCg7MJZRYsWRbt27bBy5UqsW7cOSUlJ8PX1VTRGZty7dw8lSpRQJBYREZG7\nuXXrFkJDQ51XoU7IuKlFzbqJFFKuXDnxfnx8vF0xli1bBgAIDg42ua5U7969MXr0aKSkpGD58uWy\ng/eZjZEZ7McTEVF2pko/Xk3sxrstTq+wU2JioriYrb0LSO3cuVO836xZM5Pl9Nvi4+ONLpdVIgYR\nERERUXahn+0OABUrVrR5f0EQsHfvXgBA/fr14e3tLVsuV65cqFGjBgBg9+7discgIiIioqyPM+/t\nkJiYiC+++ALx8fHw8PDAsGHD7Irz33//AQDy5cuHkJAQk+UqV65ssM/bb7+taIzMMFwTQAvAeOY/\nERFR1iIAyMhZKbc2DhG5rpMnT+Kbb74BADRp0gQ1a9a0OUZYWJg4Y9/S4H+FChVw5MgR3L17F8+f\nP0fOnDkVi5FZ7McTEVH2w348uR8O3ltw69YtLFmyBACQkJCA8PBwbN26FU+ePEHevHmxYMECi7k1\nTQkLCwOQkdbGHOn227dvKx7DkujoaJPb9LnCMmjATj8REWUnTs8RLegybqrh9bbkPhYsWIDz588D\nACIjI3H16lUcP34cGo0GnTp1wty5c+2Ke+fOHfF+kSJFzJaV9sHv3r2LChUqKBbDGuzHExERyXNq\nP14QVO7DA+zHuy8O3ltw7do1jBs3zujxOnXqYPHixShevLjdsfUdZkuzZ6Tbnz9/rngMS4KDg20q\nT0RERESktg0bNmD16tUGj2m1WowbNw7Dhw9Hjhw57Ior7Utb6oNL65Dup0QMa7AfT0REROTeOHhv\nQcmSJTF27FgAQFJSEm7duoWdO3fiyJEjKFWqFL7//nsMHjzYrtiJiYkAYDLHpZ6Pj4/RPkrGICIi\nIjfBBWuJrPbhhx+iVq1aEAQBMTEx+Pfff7Fr1y5MmDABf/zxBzZs2CDmk7dFUlKSeN+WPrh0PyVi\nEBERkRtRux/Nbrzb4uC9BaVLl8bkyZMNHouJiUHv3r2xZs0aDBkyBFqtFl988YXNsf38/BAbG4uU\nlBSz5ZKTkw32UTqGJVFRUSa3xcTEoESJEjbFIyIiIiJytDZt2qBNmzYGj124cAFt27ZFWFgYGjdu\njPPnzyM0NNSmuNK+tLSPLUc62C7dT4kY1mA/noiIiMi9OTlRa9YQFBSE5cuX4/XXXwcATJgwAamp\nqTbH0V8iGxcXZ7acuctqlYhhSe7cuU3egoKCbIpFRERERKSWSpUqYdmyZQAy+s/ff/+9zTGkC9wZ\n5o03Ju2DS/dTIoY12I8nIiIicm8cvLeTp6cnunXrBgB4+vQpLly4YHMMfb78e/fumS0n3f5qjn0l\nYhAREZGb0OnUvQm83pbcX82aNcXZ9gcPHrR5f+lMfWv74BqNBsWKFVM0BhEREbkJAer345k3x21x\n8D4TQkJCxPvPnj2zef8KFSoAAB4/fozHjx+bLHfx4kXxfvny5RWPQURERESUneTNmxeA5atX5RQt\nWhS5cuUCAJw7d85sWf320NBQ+Pv7KxqDiIiIiLI+Dt5nQnh4uHg/f/78Nu/ftGlT8f6uXbtMltNv\n8/f3R506dRSPQURERG5Cv2CtWjdO2KEsQBAE3LlzB4DhZBxbNGvWDABw6NAhJCYmypaJjIzE2bNn\nAQAtWrRwSAwiIiJyByr34dmPd2scvLdTcnIyFi9eDADIly+fmP/eFs2aNUOePHkAAL/88otsmYiI\nCKxduxYA0LZtW6PZNkrEICIiIiLKLtauXStesfr222/bFeP9998HkJGP/p9//pEt88svvyAtLQ0A\n0L17d4fEICIiIqKsjYP3Mvbu3SvOxpHz6NEjdOjQAbdu3QIADB8+HFqt8VP522+/YfLkyZg5c6Zs\nHB8fH4wZMwYAcPjwYUyePNlge3x8PD744AMkJyfDw8MD48ePd0gMIiIiIiJ3l5SUhPnz5+Pp06ey\n2wVBwMqVK/HRRx8ByFj89fPPPzcqFxYWhuHDh2P48OHYtGmTbKz27dujevXqAIDRo0fj+PHjBtt3\n7tyJqVOnAsiYMV+/fn2HxCAiIiKirM1T7Qa4ojlz5mD16tWoXLkyypYti5CQEAQHByM+Ph7//fcf\n9uzZg+TkZABA586d8b///U82zuzZs3H16lXkypULw4cPly0zePBg7Nq1C1u3bsW4ceOwefNmNGrU\nCPHx8VizZg3u378PAJg1a5bJ2f1KxCAiIiI3IAgvFpxSq34V6yayICkpCR999BE8PDxQtWpVFC5c\nGCEhIfD19cXjx49x5MgR3L17F0BGKsk1a9agQIECRnHCw8Px/fffi/9u3bq1URmNRoOlS5eidu3a\nePr0KerWrYuWLVsiNDQUV65cwe7duyEIAooWLYq///5btr1KxCAiIiI3oF+wlsgOHLyX0bRpU/z3\n3384f/48zp8/L1umRIkSGDVqFPr27QuNRmN3XR4eHli9ejVGjhyJX3/9FceOHcOxY8fE7blz58YP\nP/yADz/80KExiIiIiIjcmZ+fH3r37o3t27fj1KlTOHXqlFEZHx8fdOzYEZMnT0aJEiUyVV/p0qVx\n7Ngx9O3bF/v27cPmzZsNtr/77rv4/fffUahQIYfGICIiIqKsi4P3MgYMGIABAwbg7t27OH36NB48\neIDIyEj4+PigQIECqFatGipVqmRx0P7TTz9FZGQk/Pz8zJbz8/PDzz//jHHjxmH79u24d+8efHx8\nUKZMGTRv3hw+Pj4W26xEDCIiInJx+gWnVKtfvaqJLPHx8cFff/0FALh69Spu3ryJBw8eIC4uDoGB\ngShZsiSqVauGHDlymI0TGhqK7777DgDw5ptvmi1bqlQp7N27F9euXcPJkycRFRWFvHnzonbt2ihe\nvLhV7VYiBhEREbkwQeU+vL4N5JY4eG/Ga6+9htdee83u/QcPHmxT+fz586Nnz55216dUDCIiIiIi\nd1a2bFmULVvWrn0LFy5sMuWlKWXKlEGZMmXsqk/JGERERESUtXDBWiIiIiIiIiIiIiIiF8OZ90RE\nRETuQtCpvGgs8+YQEREREdlM1T684z1//hwXL17EgwcP8OjRI/j6+iI0NBRvvfUW/P39bYoVERGB\no0ePIjIyErlz50a1atVQunRpB7Xc9XHwnoiIiIiIiIiIiIhsMmHCBGzZsgWnTp1Cenq60fYcOXKg\nT58+mDRpksV1hx4/foyBAwdizZo10OkMf+xo1KgR/vzzT5QqVUrR9rsDDt4TERERuQsuWEtERETk\nEjTQqN0Ex9K42PHJLLgqwE0WYXWFBWsd5Ndff8WjR48AALlz50a9evVQuHBhPH/+HHv27MGDBw8w\ne/Zs7N69G/v27UNwcLBsnCdPnqBOnTq4efMmAKBBgwZ4/fXXcefOHezcuRP79u1DzZo1ceTIEbvX\nNXJXHLwnIiIiIiIiIiIiIpvVrVsXI0aMQOvWreHh4SE+npKSghEjRuCnn37ChQsX8Pnnn2PJkiWy\nMfr27YubN2/C09MTq1evRtu2bcVtJ06cQIsWLRAVFYWuXbvi9OnT0GqzzzKu2edIiYiIiNydfua9\nWjeZGU9ERERERGRBFu3HL1iwAIcOHUK7du0MBu4BwNvbGz/++CMaNmwIAFi+fDkeP35sFOPUqVNY\nt24dAGDYsGEGA/cA8NZbb2HGjBkAgHPnzmHlypUOOBLXxcF7IiIiIiIiIiIiIrJJ8+bNLZbp2rUr\nAECn0+HUqVNG2xcvXgwA0Gg0GDRokGyMXr16IXfu3ABgcvZ+VsW0OURERERERESUpWX5/OSkHlVz\nw6s/J9eRry2DnPaaF4sv8UpQt+Pv7y/ej4+PN9q+Y8cOAECFChVQqFAh2Rg+Pj5o0KAB1q9fj127\ndkGn02Wb1DkcvCciIiJyFzpdxk0tTvqylJiYiIcPHyIlJQX58uUzubCVJUlJSbh//z60Wi0KFSoE\nHx8fhVtKRERERGSBIKjbh1eZdLZ9sWLFDLalpqbi2rVrAIAqVaqYjVOlShWsX78eCQkJuH37NkqW\nLKl8Y11Q9viJgoiIiIhc1u3btzF79my0b98e+fLlg7+/P0qUKIFy5cohT548KFWqFL755hs8f/7c\nqnhnzpxB69atERgYiFKlSqFEiRLIlSsX3nvvPVy9etXBR0NERERE5Jri4+MRHR1t8qa0J0+eYNGi\nRQCAQoUKoXr16gbbw8PDkZqaCgB47bXXzMaSbr9165bCLXVdHLwnIiIichdqL3Slc8zM+7lz52Lo\n0KFYv349njx5Ai8vLxQvXhxly5aFl5cXbt68iQkTJqBy5cq4fv262VgrVqxAzZo1sXnzZqSlpaF4\n8eIoWrQokpOTsWbNGrzxxhvYuXOnQ46DiIiIiMiIAPX78C+68V988QWCg4NN3pT2+eefiz8KjB8/\n3ijVTWxsrHg/MDDQbKycOXOK962d1JMVcPCeiIiIiFxCs2bNsGbNGkRFReH27du4cuUKnj59ivHj\nx0Oj0SAsLAzvvPMOkpOTZff/77//0KtXL6SmpqJixYq4ePEibt++jbt37+LkyZMIDQ1FYmIiOnXq\nhHv37jn56IiIXJvGyv/coY2KtFuj4c3SzR049DnwyLhBq/hNAw8rb5n4T+OhyA0abSZunjK3l9sN\n6tE/P5K/gSu8L5FpM2fOxPLlywFkLGzbr18/ozIJCQnifUspLn19fWX3y+o4eE9EREREqqpUqRIO\nHjyIHTt2oEOHDsiRI4e4LWfOnJgwYQLGjh0LALhx44Z46e2rxowZg+TkZOTIkQObN29G+fLlxW01\natTAhg0b4OXlhdjYWHzzzTcOPSYiIiIiIlfz888/IyoqyuRNKStXrsSoUaMAAKVLl8aiRYugkfnR\nTzogn5KSYjamdAKPdL+sjoP3RERERO5CUPtyW8ekzenatSvq1atntsyQIUPE+3v27DHa/ujRI2za\ntAkA8OGHH8rmzKxYsSI6dOgAAFi6dGm2mrFDRERERCpSO23Oi7w5AQEByJ07t8mbErZv344PPvgA\nOp0ORYoUwc6dO5EvXz7ZstJUOHFxcWbjSrdL98vqPNVuABERERGRJXny5IGvry+SkpLw5MkTo+2b\nN2+GTqcDALRt29ZknLZt22LFihVITEzE7t270aZNG4e1mYgyR81UCII+ObCbcuRzZ23szDyHDmm/\nU9O8uMI8SZ3jq3CX1DlmKfu3Uuzc1TjyHFLn/NRYeUym5opoXpzT7v3unPUdOHAAHTt2REpKCvLn\nz49du3ahWLFiJssXKVIEWq0WOp3OYlrL8PBw8b65mFmNK3yiEBEREZE1dDp1bw6aeW+N+/fvIykp\nCQBkZ+6cPXtWvP/mm2+ajCPdJt2HiIiIiMghBMEF+vGOP8wTJ06gdevWSEhIQHBwMHbt2oWyZcua\n3cfX1xclSpQAkLF+lTn67d7e3ihVqpQyjXYDHLwnIiIiIpc3d+5c8X6jRo2Mtl+/fh0AEBgYaPaS\n32LFion5Nq9du6ZsI4mIiIiIsqFz586hZcuWeP78OXLlyoUdO3agUqVKVu3bpEkTABkTa0zl3U9P\nT8e+ffsAAA0aNICnZ/ZJJsPBeyIiIiKySVpaGqKjo83elHTr1i1Mnz4dAFCoUCH06NHDqIy+zjx5\n8piN5ePjA39/fwBATEyMou0kIiIiIspurly5gmbNmiE6Oho5cuTA1q1bUb16dav379q1K4CM7xh/\n/vmnbJm1a9fi0aNHBuWzi+zzMwURERGRuxOgauoa/eW2//77L4KDg80XVaidCQkJ6NChg7i47K+/\n/go/Pz+jcvoFrHx9fS3G9PPzQ3x8vMVFsYgo89TMW58ZtrZbzRz57vocy1H8WBTPye5O8x/taasT\n8uQ7nTJ/M9fNZe+4c9LaHPWOrFcQ5M5JabvSHd4exajZh3eg27dvo2nTpoiMjIS/vz82b96M2rVr\n2xSjcePGaNiwIfbv349Jkybh7bffNkh1efv2bQwZMgQAEBoail69eil5CC6Pg/dERERE5JLS09PR\nvXt3nD9/HgAwfPhwk4vR6i+dTU+3/CVOXyY7XW5LRERERKSk9PR0NGnSBPfv3wcANG/eHKdPn8bp\n06dN7tOgQQNUq1bN6PG///4btWrVQmRkJOrXr4+uXbvi9ddfx507d7BkyRLExsbC19cXixcvhre3\nt8OOyRXxGwsRERGRu9AJGTe1vJgxVKNGDezYscPBVQno06cPNmzYAADo2bMnZsyYYbJ8jhw5AECc\noW+Ovox+HyIiIiIihxFU7sPr26Cw1NRU3L59W/z3unXrsG7dOrP7fPfdd7KD9yVKlMCBAwfQq1cv\nnDx5EgsWLDDYXrJkScyfP9/mWf1ZAQfviYiIiMgmnp6eZheFVcLgwYMxb948AEDHjh3xzz//iAvN\nyilYsCAA4NGjR9DpdNBq5S/1joqKQnJyMgAgJCRE2UYTEYCslcbFWnLHrGYqHXelf84yfQ4pki7H\nnVLkKEXumN0xlU7m/naKvIcplnJG+fNQrXQ48jwk9y1cPalvt+BGqXKyOE9PTwwePNimfczlwi9X\nrhxOnDiBo0eP4siRI3j8+DFy586N6tWr4+2334aHh4fJfbMyDt4TERERkUsZPXo0fv75ZwBAq1at\nsHTpUoud9ddffx1AxgygsLAwlChRQrbc9evXxfvly5dXqMVERERERNmLp6cnZs+erXjc2rVrZ8sZ\n9qZw8J6IiIjIXbhI2hxHmjRpEqZNmwYAePvtt7FmzRqr8lrWqVNHvH/o0CGTg/eHDh2S3YeIiIiI\nyGHUTptDbsuVrpUhIiIiomzshx9+wPjx4wEA9erVw4YNG+Dr62vVvm+//TaCgoIAwChHptTChQsB\nAMWKFTN72S4REREREZHaOHhPRERE5C50OpVvjpsx9Mcff+B///sfAKBmzZrYsmULAgICrN7f29sb\nQ4YMAQDs3r0bK1asMCozZ84cnDt3DgAwcuTIzDeaiMgMjeS/7ER48R9lFVq49tCRVuZmu0y9XjVa\n45tdlDkWg6ZptEY3x/Kw8Sa3bxYkQP1+PN+W3RbT5hARERGRqlasWIFPP/0UQMbCs9OmTcPNmzdN\nlvf19UW5cuWMHh8+fDhWr16NCxcuoEePHjh9+jTeeecdpKenY/Xq1fjll18AAHXr1kXfvn0dczBE\nREREREQK4eA9EREREalqw4YN0Ol0AIAHDx6gcePGZsuXLVsWV65cMXo8ICAAW7ZsQadOnXD8+HFM\nnz4d06dPNyjz9ttvY8WKFfDy8lLuAIiIiIiIiByAg/dERERE7kLImgvWFitWDFWqVLG6fGhoqMlt\nRYoUweHDh7F27VqsW7cOd+7cgUajQYkSJfDee++hdevW0GiyVwoLIiIiIlKR2n34jEaoXD/Zi4P3\nRG7G1hx8zDdJRESubsqUKZgyZYpi8Tw8PNCpUyd06tRJsZhERJkh7cOzf+7qXDm/u5qkz4vOBdpg\nv0ytQ5HpnPHKnl+Oz2EPOD8P/cv6pPMtBEGt845IXRy8JyIiInIXOrVn3qtXNRERERGR21J95j25\nK/6kTERERERERERERETkYjjznsgFZOqyPQfE5qW8RERERESOoe+fs8+tsEytZ8J5jbaRe76UTmmi\ncHoZe75zZyoljUIpfpySFgdwfmocIrIWB++JiIiI3IXqaXM40EREREREZBMB6qfNYTfebfHnZSIi\nIiIiIiIiIiIiF8OZ90RERERuQtAJEFSctaNm3URERERE7kgQ1O3Dk3vj4D2Rkzkyv71SLLWR+TmJ\niIiIiDJH2udm/1otTEagHNd5LjP9ndvmPPOunN/eNXPZyx2rICi9bgJR1uA6765ERERERERERERE\nRASAM++JiIiI3IcgcNFYIiIiIiJ3o3Yfnl8h3BZn3hMRERERERERERERuRjOvCdyIHfIb28PpY7L\nntyeWfU51WO+UyIySydk3NSsn4iIyAx9f91pfX2NrftwDmNW4m757ZXPa69eTnulj0UfL0vmvhfg\nAv1otesne/FTi4iIiIiIiIiIiIjIxXDmPREREZG7UHvWjtq5OomIiIiI3I7KV8++aAK5Jw7eEzlA\nVk/tohQ+T8asfU6YXoeskd1fY3ydEBGRu8hMqhlXJe2HmDuu7N5fIetl6lyxK8WL/ckqlEsp47i0\nOMqn8FGGtF2CkK5iS4hcg2u+UomIiIiIiIiIiIiIsjHOvCciIiJyF2ovWJt1JoQSERERETmH2qkv\nya1x5j0RERERERERERERkYvhzHsihTBXIzmT3PmWlXKkZnd8P1FGVswfrPrMe84YIiJyqKyaJ17x\n9mrsiececxed9bd19f6RO+S3z1zO+OyXy94+0udJ9+L/bpoHX+1+tGu/5MmMrPSKJiIiIiIiIiIi\nIiLKEjh4T0RERERERERERETkYpg2hyiT3O2SVcq6rL3MmpyD7w3kCIJOgMAFa4mIsoUsmf4ts2xO\nl+M+8xWd3Xe0tj5HnX+ZPl6bU8Nk7lywPRWN8mlxXCEdjsYJrylBTI+ThQgq9+HBzxJ3pv4rn4iI\niIiIiIiIiIiIDHDmPREREZG7UHvBWoEzdoiIiIiIbCKAC9aS3TjznoiIiIiIiIiIiIjIxXDmPZEd\nmMuaXB1zpCqLr3kiIiIildic5x7gPEXluEQ/2An57e3LJ69MXntn5LJ3Rq56InIMDt5b8OTJE9y/\nfx8PHjyAIAgICQlBxYoV4eXlpXhdgiDg4sWLCA8Ph4+PD0qXLo2iRYs6PQYRERG5KKbNIbJKSkoK\nbt26hQcPHiAyMhIBAQEoXbo0ypQp45D6nj59inPnziEqKgp58+bFG2+8gVy5cjk9BhEREbkotdPm\nkNvi4L2Mffv2YfHixdi3bx9u3LhhtD0gIAA9e/bExIkTkS9fPkXq/PvvvzFhwgTcvXvX4PE6derg\np59+QvXq1Z0Sg4iIiIjIHQmCgClTpmDfvn04cuQIEhMTjcoUL14cw4cPx2effQaNXbN5DT1+/BhD\nhgzBqlWrkJqaKj7u4+ODDz74AN9//73FAXglYhARERFR1sTBexnz5s3D/PnzxX+XLFkSpUqVgkaj\nwenTp/H48WP89ttvWLduHfbs2YPXX389U/UNHToUs2fPBgAEBwfjzTffRHx8PI4dO4YjR46gdu3a\n2LBhA1q2bOnQGEREROTiBJVn3uvUq5rIkvT0dIwbN078t7+/P2rUqIECBQrg6dOnOHr0KMLCwvD5\n559j586dWLVqFTw97f869ODBA9SqVUucOFOtWjWEhobi6tWruHjxIubOnYsjR47gyJEjCAoKclgM\nIiIicnFq9+EBLljrxpj0yoTAwECMGDECN27cwI0bN7Bt2zZs3boV9+/fx6xZs6DRaPDw4UN06NDB\nYIaMrVasWCEOunfv3h337t3Dtm3bcPDgQVy+fBllypRBamoqunTpgkePHjksBhFlTRqZ/7I7uefE\n0n/k3vi3JMpe3nrrLSxfvhxRUVHYv38/VqxYgd27d+POnTviRJb169djypQpmaqnR48euHv3Lnx9\nfbFx40acOnUKq1atwoULF7Bw4UJ4eHjg8uXL6Nevn0NjUNbntL6JRmP/zZFtycLYR3lBozV/k6U1\nc5OpQqM1e5PnYeFm5pAs1Ge5bpmY0Np9cyfu2m4iR+ErQUaHDh1w/fp1zJgxAyVLljTY5unpiaFD\nh2LkyJEAgKtXr2LDhg121aPT6TBmzBgAQJkyZfDPP//A399f3F6qVCmsWLECWq0Wz58/l/2CoUQM\nIiIiIiJ3p9VqsWTJEhw/fhxdunSBj4+PwfZ8+fJh7dq1KF68OADgxx9/RFpaml117dixA3v37gUA\nfPPNN2jdurXB9g8++ABDhgwBAKxcuRKnTp1ySAwiIiIiyto4eC+jXbt2yJ8/v9kyH3/8sXj/8OHD\ndtVz+PBh3Lx5EwAwaNAgoy8YAFClShU0a9YMALBkyRKkp6crHoOIiIjchCCoe+P1tuTCtFotunfv\nbraMr68vunTpAgCIjo7G1atX7apr4cKFADJS83z66aeyZYYMGQKtNuPr1uLFix0Sg4iIiNwE+/Fk\nJw7e2yk4OFi8/+zZM7tibN26Vbz/zjvvmCzXqlUrAMDTp09x/PhxxWOQdXhJI2UVWSEtjD2pb9z1\nWImISFnS3PHPnz+3K4a+D167dm0EBgbKlilSpAgqVqxoUF7pGER2Uzr1TWZS7ijWFvNpU8hJLKXA\nUSQtju2pcUyzLS2OUqlwnJ36xpY0PmrfiMgQXxV2unjxoni/cOHCdsU4f/48gIwvEKGhoSbLVatW\nTbx/4cIFxWMQERGRexB06t+I3N25c+fE+/b04x88eICnT58CMOxjy9Fvv379OpKTkxWNQURERG5C\nYB+e7MfBezvNmTNHvN+iRQu7YujT3bz22mtmyxUrVky8f+PGDcVjEBERERFlB/fu3cP69esBABUq\nVEDRokVtjqHvfwOW++D67enp6QgLC1M0BhERERFlfZ5qN8Adbdy4EatXrwYANGrUCHXr1rUrjj7d\njvTSXTm5cuUS78fGxioew5Lo6GiT22JiYmyKRURERESkBkEQMGDAACQlJQEAxo8fb1ccaV9a2seW\nY6oPrkQMa7AfT0REROTeOHhvo+vXr6NXr14AgJw5c+LPP/+0O1ZCQgIAyC4yK+Xn5yfej4+PVzyG\nJdL8/tkRc2Q7QWZzbDqDkLUXd+F57gLc4XXgCFn8taU4nZBxUwv/XuTGJk6ciC1btgAAOnbsKC5c\naytpX9pSH9zX11d2PyViWCO79+MVkZnPZ1d7z8yyfQ0mFDDg8jnD7W+f9fnQ5fPVKxNbZl8HnoPZ\nPQe89Phd7S3VJgLU7cPr20BuKXu/C9jo8ePHeOeddxATEwOtVot//vkHpUqVsjuet7c3ACAtLc1s\nuZSUFPH+q517JWIQEREREWVlCxYswIQJEwAA5cuXx9y5c+2OJe1Lp6ammi1rqg+uRAwiIiIiyvo4\n895Kz549Q4sWLcR88b/++ivee++9TMXMmTMnIiMjLc6gkW7PkSOH4jEsiYqKMrktJiYGJUqUsCke\nERER2Un1mffqVU1kr/Xr16N3794QBAHFixfHjh07LKacNCdnzpzifXv74ErEsAb78URERK5A5T48\nuTUO3lshPj4e77zzDs6ePQsAmDlzJvr165fpuIULF8atW7dw//59s+Wk24sUKaJ4DEty585tU3nK\nArLsJbWZoNRz4tbX+mUzfB04h9LPM19jRCSxc+dOdO3aFWlpaShUqBB2796NwoULZyqmtC9tqQ8e\nHh4u3pcujqtEDGuwH58JSnw+mYrh7M+qTB2LtRfr6zJRhy2YPEDkEulUlGmDfalhrEuN4wrpcNRN\nfeMK54kc0+8ZhqlynPXeQuS6XPVV7DKSkpLQtm1bHDlyBEBGrsxhw4YpErtChQoAgIiICHHhWTlX\nrlwR75cvX17xGEREREREWc2hQ4fQvn17JCcnI3/+/Ni9e7ciM81Lliwp5qG/dOmS2bKXL18GABQs\nWNBgtr8SMYiIiIgo6+PgvRmpqal47733sGfPHgDAl19+iXHjxikWv0GDBgAAQRBw4MABk+X27dsH\nAPD09ESdOnUUj0FERETuQdCpfOOFDeQmTp48iXfffRcJCQkIDg7Grl27UK5cOUVia7Va1K9fHwBw\n8OBBpKeny5ZLSEjAiRMnAACNGzdWPAYRERG5B0FQvx/P9Jfui4P3JqSnp6N79+7YsmULAGDIkCGY\nOnWqonW8++678PPzAwD89ddfsmWeP3+OFStWAACaNm1qdOmrEjGIiIiIiLKK8+fPo2XLloiNjUWu\nXLmwY8cOVKpUSdE6OnfuDAB49OgRNmzYIFtm0aJFSExMNCivdAwiIiIiyto4eC9DEAR8/PHHWL16\nNQDgs88+ww8//GBznB07dmDVqlUmO+OBgYEYNGgQAGDDhg1YtmyZwXadTofPPvtMTIczduxYh8Qg\nN6DROPdGjsO/gePwdUCAxb+l5sV/bksQXi5aq9aNyIVdu3YNzZs3R1RUFHLmzIlt27ahevXqNsWI\njIzEokWLsGjRIpw+fVq2TK9evVCsWDEAwNChQxEREWGw/caNG2K/u3Llymjbtq1DYrgqQfKfW3FW\nP8AZ/Q6rY2st3KxlKY5S8bIpjdb4lmnW/s1s+3tqNFqbbxn56227WR/7RbugtfmW2eN6tQ3KP/9K\nvuaczR3bnEnsw5OduGCtjC+//BILFy4EAJQtWxaNGjXCqlWrTJYvUKCAeNmr1KBBg3D16lXkypUL\nMTExsvt+9dVX2LZtG86dO4cePXpg+/btaNSoEeLj47F48WIx1/7gwYNRr149h8UgIiIiInJnz549\nQ9OmTfHo0SMAQPfu3XHjxg3cuHHD5D7169cXB9D1rl69ip49ewIAhg0bhmrVqhnt5+Pjg3nz5qFF\nixa4c+cO3njjDfTt2xehoaG4cuUK/vrrL8TExCAgIAD//PMPtFrjwQglYhARERFR1sbBexnHjx8X\n71+9ehVdunQxW75JkybYtWuXXXXlyJED27ZtQ69evbBz507MmzcP8+bNE7drtVqMHDkSU6ZMcWgM\nIiIicgO6Fze1cNIOubDIyEjcu3dP/Pcff/yBP/74w+w+S5cuNRq8t1ajRo2wceNGfPTRR3jw4IFR\nXzs0NBSLFi2SHfxXMgYRERG5OAHq9uH1bSC3xMF7GQ0bNkTevHmtLl+5cmXZx1u0aIGKFSsiICDA\n7P4hISHYsWMHDh8+jC1btuDevXvw8fFBmTJl0KlTJ4SGhlpsgxIxiIiIiIjcVc6cOdGjRw+b9ile\nvLjRY/nz5xfjWEq507x5c9y8eRObNm3CiRMnEBUVhbx586JOnTpo1aoVvL29LbZBiRhERERElDVx\n8F7GhAkTFInz448/2lS+bt26qFu3bqbqVCIGwXn5kJlX2wxHXBqu9k/dNlDq3BBU/Hk925/f2T29\ngRu93ogoSyhQoAAWLVqU6ThlypSxKY6fnx86d+6cqQVllYhBmeAKfRa5Nljbj7O6/a7QN3GFNmSG\npf6Ndcdn9fdNq3PbK/u8ms7Tbg0Pp9T3ak56R9QhzznnsHLtVZ8gKPO9QP+cqPkVl0gNHLwnIiIi\nchOCToCg5oJT/LZERERERGQbAer24fWNILeUdX7KIyIiIiIiIiIiIiLKIjjznsiRXOESXLtk1d/1\nnHFcLpYqxG3PwczIquevu1Hr7yDzGpS+Dtx95rjaC9a62FscEbk+4cVMP6elpbSWYn0kaz/v7HgD\ndUIbnfV3Edxyxqc9H3r6fezoBymcIsdVU9/Ymu7GnjoMuVJKIcfJbLuUSm0jx9q2vWzDy/LS88Ud\n30UMqN2PdvsnMPtyzXcdIiIiIiIiIiIiIqJsjIP3REREREREREREREQuhmlziIiIiNyFAF7ySkRE\nRETkTtiHp0zg4D2RhGI5HxXPM86LZNyHI/9WaifJs0bWPlddLl+vi3GNfLZy56A7vHaIiLI26WeE\ne32eKtW3sRRHqc8qBfLb25M720K+bHN1u0b/Qcox/QbZ50D2uXZETnvrctgrnbfe9jzsyrzeHJGX\n3lVz3SvFGcdnKa++vg0Wy0leS6727kHkCBy8JyIiInITgg4QdOp9TXHgWmZERERERFmWmn14ABD4\nS4fbyto/HRIRERERERERERERuSEO3hMRERERERERERERuRimzSHKLKvz27vmb2XulXPU9Tk2Z6dr\nnkOOwPPSPbna3831cugqQAd1U/hnwaeUiJxP//7s9M8Nm9alsjb3t3UxLX8mKdvPs9gupfNbW4pn\nJu+aI88D6/sCjltzIDO57s3nIbcuj72lOJby15tvg6Ny3zs2jmzsbPRdy5EEM68lS38/fa57abks\nk+pFAJfhIrvx3YmIiIiIiIiIiIiIyMVw5j0RERGRmxAEdReNzTKzn4iIiIiInETtPnxGI1Sun+zG\nwXsihzB3WaJrpZWwiwMvV1SVAp+mWeLv6w6y6jlIptnx+tS/HgXpe7LmxeW4ks5rlkyvQ0TkBqTv\nv+r2oaxMdZIJ9sQz9/lkUzwrU7QoT/LZLdcGJ4xkSZ8n85/30vbZ2i4L54+Z599yGhjj1DiW9jGX\n/sVyfbal7rE2jY2zUtI4Mq0OGRNkXsO2/q2laXb0fz9pXIO/KbvslE3xnY2IiIiIiIiIiIiIyMVw\n5j0RERGRu+CCtURERERE7kfttDnktjjznoiIiIiIiIiIiIjIxXDmPZE9NHI5Jl/+FibmOMzyOffc\n7fgs/NSd5f9eWQn/VlmP416fGkneTHefOC7oVF7sijOGiMhB9PnI1cx9r9EY5xd3OmmuZ3PPhU2f\ni7blMc+sl/mq5epQLw++3PMpnwfftucmc/ntrctpbymPuHxs6/7uytVneZu7cVau/swQ3L1zJvcS\nlLykBIPtLvAebS8uWEuZ4PrvRERERERERERERERE2QwH74mIiIiIiIiIiIiIXAzT5lC2Z/WlubKp\ncoCXl0G+vITLQxsAANAJaZJy6SZDC6pfP2Ubd7oU0vC5dZ92Z3fudI6RUl7+zZV/T5R7HzD9nuzS\nuGAtEWVx0jQmiqXQsZTy8kU/Xt+HB17tx+vZ9tlh1+eZQR9Ibn/r+kiW+1KOSz8h93TLp9KROT5n\n9AGtTU1kidhWS6loTKfGkUvLkpkUOJa2awzOe/tT6FibYsraPr27fR92JRo7XsuCoEw/WP/3VTx1\nj0F/Mwt9L+RpTnbKQq8CIiIiIiIiIiIiIqKsgTPviYiIiNyEILy6cJfz6yciIiIiIhuo3Icn98aZ\n90RERERERERERERELoYz74nsYj5HZrouEQDg651PfCwtPQkAIEjyZ77MDWcp+ZkjcjM7Ls+lK7Gc\nj9FN8167laxzrrlyLv6slCvU2jyq1r5+BelcBYVyfBIRkeMpn/9e0oeXxNNq/QC87MMDgJ9PAQBA\nalrCy/a86MfL5XeW+xw2/Xlm7WeRPf0O05+hFnOkW1mfpfzWcrNL5fPgW1Wd8hTqz718Pk3ntAde\nPq+Gz7+V+eatzEEvt4/lnPem261VKMe+HNk+q0LLW2Sl/rAcnUJJ05Vei0Au7761efWlbZF7bzF4\nLYk59omyFw7eExEREbkJQWewzp4KDVCxbiIiIiIiNyRA5T48mLbHnbnuFEIiIiIiIiIiIiIiomyK\nM++JiIiI3IUAy5nWHF0/ERERERFZT+0+PLk1Dt4T2eXlu67+0qN0Xbz4mD7/fbouxWhPg/xygsxj\nkG7W1+P+F8nI5Wa0lC/TOZR9bt0tz6Ir53DXszb/anbnan9L57y+zR/zy9fjy7ZoXtwXpMl3eQ0p\nEVE2IenDSz5DdC9y3UvXsNKvVyWl0WR8fdYYfBfQvdhm4TPJ4HPRts9saf/S2s97uf6TUn0F2X69\ntA9sZX57uTz49nH8+krW5p5/Wc44T7dcHnyLdVhdr/m8++Zy2Bu2yyPT9UrJ5j2XOz+s7Dda/K5l\n5TkluOi6Z5aOz8OB34vk1yKwrj65XPwW3xPl1gl5cf7pkGp1HKLsgK8CIiIiIiIiIiIiIiIXw5n3\nRERERO5C5QVreZECEREREZGNBPUXrGX6S/fFwXvK9gTJO5jG3HV20hELg2s8dUab9Sl0tFpvyS7G\nl1BaSnqmcYm0Mo7jqulQMpP6Jitc1ucex+AObcyKrH9tqPX6lkstIG21eFm23GXcRESUPb347Eh/\nkT4HeNmPl+8XWd+f18tUv96u9DKOS5sjJZc2SExRZ0cqHTmW2m1tnyNzx29t2hmZx8ykoJGmnZEr\nZy7djcXHYBxbY5DOx8OojpfljNPhyLXFohd/d7m0KnKpayx9D9NprE2vY6mfZ91QmNPTvFp4rTsy\nRaugsb9vrLGyXYbvCcbnk/480cJL8ljay13056BMKmKirIyD90RERERuQhDUnf3OmfdERERERLZj\nP5rsxamLREREREREREREREQuhjPviYiIiNyFDoDOrvwJyuCMISIiIiIi2whQtw9Pbo2D90T2kM1/\nL8nfJmQ8ptWYf4kJVubsM6w6a+fBdwXSJQ2y4vPtyjntXbltZJkrvF7kXr/SPMOCwHOMiCjb0ffd\nZdatAgBBn39c8pilfry4rx39+ZfNUv5z01xfylJueLl9LbVRf/yG5fRxJOvQyOTBt7bfZ2ndAbPH\nbG0dVj435vLXZ2z3MCqnNZMHXy63vFwOfcPt1uWjN4wjl9/ew6gOsa3SfPkvHtPK1CtHJ5NvXjB4\nvWVsl82Db+L1JJfDXm7/l3Fsz9/uyH6subbaxI6xX8v5//VMv+dZzP0vu6aFzD5y5SRrH4jvHLqX\nee512pft0ujYj6fsiWc+EREREREREREREZGL4cx7IiIiIjch6DJuqlH/4goiIiIiIrej+kXKTH/p\ntjh4TyQhvHg309hyPZrcZbgvLlHUajP3ErP2UjPK4JBLHfl8G3HV1Dau2i5X49DUNk5+vVh7KT90\nkku1Nakv9pVeSv6yJyuwV0tElA3pPye8xEcy249/lbP69ZlJm2NiJyMGKVD0xyWTtk6aAuXl8Zv/\n7JZNSyOTRsZSuVfLG5Yzn/5FLo61qW9ePmacnkYrk+pHLm2OXGobg/bJHJNs2hyZ1DceGsk5rk+l\nIxg/vx6S14JY3srUg9IUMel40e+SPJamMX5M3FeS4sVgu0b/mPkUMLKpeKydeWBwDtuedsdcW5z9\nLcXgebIyBZhsHDu+N4jHbeH97eVz/LJ94t9K8oRpBem5qIVRAaJsgIP3RERERG5CEDQQBPV+VRT4\niyYRERERkU0EAar24QH2490Zf64iIiIiIiIiIiIiInIxHLwnIiIiIiIiIiIiInIxTJtDpBRBkif5\nxdVIHlofB1an9monrkPMl8erwBRnKSeoMzGnveNkhfcTudyk8rlU0wAAGqRIyrkPtReszQKnChGR\nVRzZj9dT6vPXUh9JLh96Zuhkct5LP4f1ue4Njk8D48dk6NcaMJWfX983lR6zuXz0BvvK5Jc3lydf\nrh9sKW+9frvWILe8TG58sZzxY4b1ybRBMM6rL7ePdLvYLkneeg/B0+iYPATj/PzaF388rYU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sudOzeaNWuGt956C2+99RZq1qyJChUq4OnTpzbHaty4MXbt2uWAVhIZ9qVDQ0PNltX3wZOTkxEW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\nvL/Le+xJTEwskiwxIwYAABcrNTV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          }
        }
      ],
      "source": [
        "fig, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(8, 4))\n",
        "sim_data0.plot_field(field_monitor_name=\"field\", field_name=\"E\", val=\"abs\", f=2e14, ax=ax1)\n",
        "sim_data.plot_field(field_monitor_name=\"field\", field_name=\"E\", val=\"abs\", f=2e14, ax=ax2)\n",
        "plt.show()"
      ],
      "id": "90937d46"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Conclusion\n",
        "\n",
        "This hopefully gives some sense of what kind of data post-processing and\n",
        "visualization can be done in `Tidy3D`.\n",
        "\n",
        "For more detailed information and reference, the best places to check\n",
        "out are\n",
        "\n",
        "- API reference for\n",
        "  [SimulationData](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.SimulationData.html).\n",
        "\n",
        "- [Xarray documentation](http://xarray.pydata.org).\n",
        "\n",
        "If you are new to the finite-difference time-domain (FDTD) method, we\n",
        "highly recommend going through our\n",
        "[FDTD101](https://www.flexcompute.com/fdtd101/) tutorials."
      ],
      "id": "2f804950-29f4-486c-8d10-c65fa664b63e"
    }
  ],
  "nbformat": 4,
  "nbformat_minor": 5,
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    }
  }
}