{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Performing near field to far field projections\n",
        "\n",
        "This tutorial will show you how to use field projections to obtain\n",
        "electromagnetic field data far away from a structure with knowledge of\n",
        "only near-field data.\n",
        "\n",
        "When projecting fields, geometric approximations can be invoked to allow\n",
        "computing fields far away from the structure quickly and with good\n",
        "accuracy, but in `Tidy3D` we can also turn these approximations off when\n",
        "projecting fields at intermediate distances away, which gives a lot of\n",
        "flexibility.\n",
        "\n",
        "These field projections are particularly useful for eliminating the need\n",
        "to simulate large regions of empty space around a structure.\n",
        "\n",
        "In this notebook, we will\n",
        "\n",
        "- show how to compute projected fields on your local machine after a\n",
        "  simulation is run, or on our servers during the simulation run.\n",
        "\n",
        "- show how to extract various quantities related to projected fields\n",
        "  such as fields in different coordinate systems, power, and radar cross\n",
        "  section.\n",
        "\n",
        "- demonstrate how, when far field approximations are used, the fields\n",
        "  can dynamically be re-projected to new distances without having to run\n",
        "  a new simulation.\n",
        "\n",
        "- study when geometric far field approximations should and should not be\n",
        "  invoked, depending on the projection distance and the geometry of the\n",
        "  structure.\n",
        "\n",
        "- show how to set up projections for finite-sized objects (e.g.,\n",
        "  scattering at a sphere) vs. thin but large-area structures (e.g.,\n",
        "  metasurfaces).\n",
        "\n",
        "## Table of contents\n",
        "\n",
        "1.  [Simulation setup](#setup)\n",
        "2.  [Far-field projector setup](#farfield1)\n",
        "3.  [Server-side far field projection](#farfieldserver1)\n",
        "4.  [Downsampling the near fields to speed up\n",
        "    projections](#farfieldserverdownsample)\n",
        "5.  [Spatial filtering of far fields via windowing of near\n",
        "    fields](#spatialfiltering)\n",
        "6.  [Coordinate system conversion, power computation](#powercoords)\n",
        "7.  [Re-projection to a new far field distance](#reproj)\n",
        "8.  [Exact field projections without making the far-field\n",
        "    approximation](#exact)\n",
        "9.  [Projection to a grid defined in reciprocal space](#kspace)\n",
        "10. [Some final notes](#notes)"
      ],
      "id": "db66b8b7-b6ce-4773-99a3-88055d6ed639"
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {},
      "outputs": [],
      "source": [
        "# standard python imports\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "# tidy3d imports\n",
        "import tidy3d as td\n",
        "import tidy3d.web as web"
      ],
      "id": "651ead74"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Far Field for a Uniformly Illuminated Aperture <a name=\"setup\"></a>\n",
        "\n",
        "First, we will consider the simple case of an aperture in a perfect\n",
        "electric conductor sheet illuminated by a plane wave. The far fields in\n",
        "this case are known analytically, which allows for a straightforward\n",
        "comparison to `Tidy3D`’s field projection functionality. We will show\n",
        "how to compute the far fields both on your local machine, and on the\n",
        "server. The geometry is shown below.\n",
        "\n",
        "<img src=\"img/far_field_aperture.png\" width=350 alt=\"Schematic of the aperture\">\n",
        "\n",
        "### Geometry setup"
      ],
      "id": "a70bbccc-cdac-4af6-8fbe-1ead8984f87a"
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {},
      "outputs": [],
      "source": [
        "# size of the aperture (um)\n",
        "width = 1.5\n",
        "height = 2.5\n",
        "\n",
        "# free space central wavelength (um)\n",
        "wavelength = 0.75\n",
        "# center frequency\n",
        "f0 = td.C_0 / wavelength\n",
        "\n",
        "# Define materials\n",
        "air = td.Medium(permittivity=1)\n",
        "pec = td.PECMedium()\n",
        "\n",
        "# PEC plate thickness\n",
        "thick = 0.2\n",
        "\n",
        "# FDTD grid resolution\n",
        "min_cells_per_wvl = 30\n",
        "\n",
        "# create the PEC plate\n",
        "plate = td.Structure(geometry=td.Box(size=[td.inf, thick, td.inf], center=[0, 0, 0]), medium=pec)\n",
        "\n",
        "# create the aperture in the plate\n",
        "aperture = td.Structure(\n",
        "    geometry=td.Box(size=[width, 1.5 * thick, height], center=[0, 0, 0]), medium=air\n",
        ")\n",
        "\n",
        "# make sure to append the aperture to the plate so that it overrides that region of the plate\n",
        "geometry = [plate, aperture]\n",
        "\n",
        "# define the boundaries as PML on all sides\n",
        "boundary_spec = td.BoundarySpec.all_sides(boundary=td.PML())\n",
        "\n",
        "# set the total domain size in x, y, and z\n",
        "sim_size = [width * 2, 2, height * 2]"
      ],
      "id": "fdf80ca9"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Source setup\n",
        "\n",
        "For our incident field, we create a plane wave incident from the left,\n",
        "with the electric field polarized in the -z direction."
      ],
      "id": "8db2daf9-8b43-4577-b231-82cb0c36122c"
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {},
      "outputs": [],
      "source": [
        "# bandwidth in Hz\n",
        "fwidth = f0 / 10.0\n",
        "\n",
        "# time dependence of source\n",
        "gaussian = td.GaussianPulse(freq0=f0, fwidth=fwidth)\n",
        "\n",
        "# place the source to the left, propagating in the +y direction\n",
        "offset_src = -0.3\n",
        "source = td.PlaneWave(\n",
        "    center=(0, offset_src, -0),\n",
        "    size=(td.inf, 0, td.inf),\n",
        "    source_time=gaussian,\n",
        "    direction=\"+\",\n",
        "    pol_angle=np.pi / 2,\n",
        ")\n",
        "\n",
        "# Simulation run time\n",
        "run_time = 50 / fwidth"
      ],
      "id": "e45f0c7d"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Create monitor\n",
        "\n",
        "First, we’ll see how to do field projections using your machine after\n",
        "you’ve downloaded near fields from a `Tidy3D` simulation.\n",
        "\n",
        "We create a surface\n",
        "[FieldMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldMonitor.html)\n",
        "just to the right of the aperture to capture the near field data in the\n",
        "frequency domain.\n",
        "\n",
        "We will turn off field colocation to obtain the raw data on the Yee\n",
        "grid. In the local field projection computation, fields are colocated\n",
        "internally as needed. In theory, turning off the server-side colocation\n",
        "avoids double interpolation in some cases. This can produce slightly\n",
        "more accurate results, although typically there should not be a\n",
        "significant difference."
      ],
      "id": "19c6c58c-a3ce-4f68-9585-dde5bbb89fb0"
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {},
      "outputs": [],
      "source": [
        "offset_mon = 0.3\n",
        "monitor_near = td.FieldMonitor(\n",
        "    center=[0, offset_mon, 0],\n",
        "    size=[td.inf, 0, td.inf],\n",
        "    freqs=[f0],\n",
        "    name=\"near_field\",\n",
        "    colocate=False,\n",
        ")"
      ],
      "id": "d6202888"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Create Simulation\n",
        "\n",
        "Now we can put everything together and define the simulation with a\n",
        "simple uniform mesh, and then we’ll visualize the geometry to make sure\n",
        "everything looks right."
      ],
      "id": "552f2bc8-22ac-4eeb-a55f-6412ba2d464a"
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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raIyzu3fvjh07dmD8+PFSQJWXl4dly5Zh2rRpuPTSS9GkSRM89dRTfscrStQh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          }
        }
      ],
      "source": [
        "sim = td.Simulation(\n",
        "    size=sim_size,\n",
        "    center=[0, 0, 0],\n",
        "    grid_spec=td.GridSpec.uniform(dl=wavelength / min_cells_per_wvl),\n",
        "    structures=geometry,\n",
        "    sources=[source],\n",
        "    monitors=[monitor_near],\n",
        "    run_time=run_time,\n",
        "    boundary_spec=boundary_spec,\n",
        ")\n",
        "\n",
        "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(9, 3))\n",
        "sim.plot(x=0, ax=ax1)\n",
        "sim.plot(y=0, ax=ax2)\n",
        "plt.show();"
      ],
      "id": "0ff2b671"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Run simulation"
      ],
      "id": "72fcc534-7dc9-438f-b077-7ce3590ff858"
    },
    {
      "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\">04:17:36 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'aperture_1'</span> with resource_id                         \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-28815033-ea42-4940-a252-2ec20b267ff6'</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-28815033-ea42-4940-a252-2ec20b267ff6\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-28815033-ea4</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-28815033-ea42-4940-a252-2ec20b267ff6\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">2-4940-a252-2ec20b267ff6'</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\":\"24756ff3ce6741e1aac24d8fffa86e8d\",\"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\">04:17:38 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.041</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\">04:17:39 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"c84b4c01793748d48d40a662d41840d8\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "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\">04:17:40 UTC </span>Loading results from data/aperture_1.hdf5                          \n",
              "</pre>"
            ]
          }
        }
      ],
      "source": [
        "sim_data = web.run(sim, task_name=\"aperture_1\", path=\"data/aperture_1.hdf5\", verbose=True)"
      ],
      "id": "228cd9bf"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Far field points <a name=\"farfield1\"></a>\n",
        "\n",
        "Now, we’ll define the set of observation angles far away from the source\n",
        "at which we’d like to measure the far fields."
      ],
      "id": "36ce216b-d924-478e-a2c3-fc68f30d8001"
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {},
      "outputs": [],
      "source": [
        "# radial distance away from the origin at which to project fields\n",
        "r_proj = 50 * wavelength\n",
        "\n",
        "# theta and phi angles at which to observe fields - part of the half-space to the right\n",
        "theta_proj = np.linspace(np.pi / 10, np.pi - np.pi / 10, 100)\n",
        "phi_proj = np.linspace(np.pi / 10, np.pi - np.pi / 10, 100)"
      ],
      "id": "49a90360"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Now, we define a far-field monitor,\n",
        "[FieldProjectionAngleMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjectionAngleMonitor.html),\n",
        "which stores the information regarding the far field projection grid,\n",
        "and then we define the object that does the actual projections,\n",
        "[FieldProjector](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjector.html)."
      ],
      "id": "5f6dd6fd-87b2-4879-804b-21bd7cc5f368"
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {},
      "outputs": [],
      "source": [
        "# far field projection monitor\n",
        "monitor_far = td.FieldProjectionAngleMonitor(\n",
        "    center=[\n",
        "        0,\n",
        "        offset_mon,\n",
        "        0,\n",
        "    ],  # the monitor's center defined the local origin - the projection distance\n",
        "    # and angles will all be measured with respect to this local origin\n",
        "    size=[td.inf, 0, td.inf],\n",
        "    # the size and center of any far field monitor should indicate where the *near* fields are recorded\n",
        "    freqs=[f0],\n",
        "    name=\"far_field\",\n",
        "    phi=list(phi_proj),\n",
        "    theta=list(theta_proj),\n",
        "    proj_distance=r_proj,\n",
        "    far_field_approx=True,  # we leave this to its default value of 'True' because we are interested in fields sufficiently\n",
        "    # far away that geometric far field approximations can be invoked to speed up the calculation\n",
        ")\n",
        "\n",
        "\n",
        "# helper function to call the projector\n",
        "def get_proj_fields(sim_data, monitor_near, monitor_far, pts_per_wavelength=10):\n",
        "    # object that does projections is constructed using the near-field monitor, because those are the fields to be projected\n",
        "    projector = td.FieldProjector.from_near_field_monitors(\n",
        "        sim_data=sim_data,\n",
        "        near_monitors=[monitor_near],\n",
        "        normal_dirs=[\"+\"],  # we are projecting along the + direction\n",
        "        pts_per_wavelength=pts_per_wavelength,  # to speed up calculations, the fields on the near-field monitor can be downsampled to these\n",
        "        # many points per wavelength (default is already 10)\n",
        "    )\n",
        "    return projector.project_fields(monitor_far)\n",
        "\n",
        "\n",
        "# execute the projector, with the far field monitor as input, to do the projection\n",
        "# let's also time this, for later use\n",
        "import time\n",
        "\n",
        "t0 = time.perf_counter()\n",
        "projected_field_data = get_proj_fields(sim_data, monitor_near, monitor_far)\n",
        "t1 = time.perf_counter()\n",
        "proj_time = t1 - t0"
      ],
      "id": "c0dd3dad"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Analytical solution\n",
        "\n",
        "Before we plot and analyze the results, we need reference data with\n",
        "which to perform comparisons. In our simple aperture example, an\n",
        "analytical expression for the far fields is already available, so we’ll\n",
        "simply implement the analytic formula here at the observation points of\n",
        "interest."
      ],
      "id": "39d529e2-9918-487b-a81e-bcf8564706f8"
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {},
      "outputs": [],
      "source": [
        "def analytic_fields_aperture(proj_monitor, sim_size, aperture_height, aperture_width, r_proj):\n",
        "    \"\"\"Compute the far fields analytically.\"\"\"\n",
        "    # in Tidy3D, the plane wave source is normalized so that a total flux of 1 is injected into the simulation domain,\n",
        "    # which corresponds to an electric field strength that is inversely proportional to the square root of the in-plane domain area\n",
        "    thetas_ext = np.array(proj_monitor.theta)[None, :, None, None]\n",
        "    phis_ext = np.array(proj_monitor.phi)[None, None, :, None]\n",
        "    f = np.array(proj_monitor.freqs)[None, None, None, :]\n",
        "    E0 = np.sqrt(2.0 * td.ETA_0 / sim_size[0] / sim_size[2])\n",
        "    k = 2.0 * np.pi * f / td.C_0\n",
        "    ux = k * np.sin(thetas_ext) * np.cos(phis_ext) * aperture_width / 2.0\n",
        "    uz = k * np.cos(thetas_ext) * aperture_height / 2.0\n",
        "    Etheta = -(\n",
        "        -k\n",
        "        / 2.0\n",
        "        / np.pi\n",
        "        / r_proj\n",
        "        * E0\n",
        "        * np.sin(thetas_ext)\n",
        "        * np.exp(1j * k * r_proj)\n",
        "        * aperture_height\n",
        "        * aperture_width\n",
        "        * np.sinc(ux / np.pi)\n",
        "        * np.sinc(uz / np.pi)\n",
        "    )\n",
        "    Hphi = Etheta / td.ETA_0\n",
        "\n",
        "    # for convenience, let's encapsulate the data into one of Tidy3D's native data structures designed for\n",
        "    # storing far fields - this is the same format in which data will be returned when using Tidy3D's\n",
        "    # 'FieldProjector', so comparisons will be easier to make\n",
        "    coords = dict(\n",
        "        r=np.array([r_proj]),\n",
        "        theta=np.array(proj_monitor.theta),\n",
        "        phi=np.array(proj_monitor.phi),\n",
        "        f=np.array(proj_monitor.freqs),\n",
        "    )\n",
        "    Etheta_data = td.FieldProjectionAngleDataArray(Etheta, coords=coords)\n",
        "    Hphi_data = td.FieldProjectionAngleDataArray(Hphi, coords=coords)\n",
        "    Er_data = td.FieldProjectionAngleDataArray(np.zeros_like(Etheta), coords=coords)\n",
        "    Ephi_data = td.FieldProjectionAngleDataArray(np.zeros_like(Etheta), coords=coords)\n",
        "    Hr_data = td.FieldProjectionAngleDataArray(np.zeros_like(Etheta), coords=coords)\n",
        "    Htheta_data = td.FieldProjectionAngleDataArray(np.zeros_like(Etheta), coords=coords)\n",
        "    return td.FieldProjectionAngleData(\n",
        "        monitor=proj_monitor,\n",
        "        Er=Er_data,\n",
        "        Etheta=Etheta_data,\n",
        "        Ephi=Ephi_data,\n",
        "        Hr=Hr_data,\n",
        "        Htheta=Htheta_data,\n",
        "        Hphi=Hphi_data,\n",
        "        projection_surfaces=proj_monitor.projection_surfaces,\n",
        "    )\n",
        "\n",
        "\n",
        "analytic_field_data = analytic_fields_aperture(monitor_far, sim_size, height, width, r_proj)"
      ],
      "id": "cbf4eeee"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Plot and compare\n",
        "\n",
        "Now we can compare the analytic fields to those computed via `Tidy3D`’s\n",
        "[FieldProjector](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjector.html),\n",
        "and also compute the root mean squared error between the two."
      ],
      "id": "eceb3171-6af8-49eb-ad74-d7c8a238e84f"
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Normalized root mean squared error: 4.54 %"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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IiKgoSEpK0tZuL1GiBKKjo6W3zRlLhoWFuU12kJGVlYXExEQUK1bMI061ok1X\nW/rB/pxxeunSpRERESFdZ0579+5FgwYNAGTP0l65cqXb69evX0dKSgpKlSolNRCflZWlJanNz3WI\nqqpITk4GkD1BxZcJL82bN8fmzZsBZMfbuV0v5NWu0+lEbGxsvv/4kJGRgeTkZERHRxuaXJSZmYnk\n5GS3uxX01w0572YoX7689EB+fo6xL9cxTqdTu2s4PDwcZcqUkW6HiEiEg/JERIXMc889h/feew8A\n8Mknn3gsZ0NEREREVJh4G5QPRvXq1cOBAwcAAGlpafm+e4GIiAILl68hIipELly4gE8//RRA9qye\n/v37F3CPiIiIiIjIF9euXcOxY8cAZN9BwAF5IqLCh4PyRESFxOnTp/HAAw9otwAPHDjQp9ugiYiI\niIioYKWlpWHs2LHaUi5NmjQp4B4REZEVQgq6A0REZNxPP/2EkSNHIiMjAxcuXNCeDw0NxdixYwuw\nZ0REREREJGvx4sUYNWoULly4oK1zDmRPtCEiosKHg/JEREHs6tWrWsKtnF5++WXUrl27AHpERERE\nRES+SktLw9mzZ92ea9euHQfliYgKKS5fQ0RUiNx4442YPn06xo8fX9BdISIiIiIiAypXrozx48dj\n6dKlsNk4bENEVBgpqqqqBd0JIiIy5tq1a7h06RIAoHjx4oiNjS3gHhERERER+VdWVhYSEhIAAMWK\nFUNcXFwB98h3V69eRVJSEkqWLIkSJUoUdHeIiMhiHJQnIiIiIiIiIiIiIvIT3gdFRERERERERERE\nROQnHJQnIiIiIiIiIiIiIvITDsoTEREREREREREREfkJB+WJiIiIiIiIiIiIiPyEg/JERERERERE\nRERERH4SUtAdIP/LyspCfHw8AKBkyZKw2fi3GSIiIl85nU5cuXIFAFC5cmWEhPgnrHI6nbh8+bJf\n2sopOjqaMQNRAWMcT0RElH8FEccXVAwPMI4PVByUL4Li4+NRvXr1gu4GERFRoXHs2DFUq1bNL21d\nvnwZpUqV8ktbOSUmJiI2Ntbv7RLR/zCOJyIiMpe/4viCiuEBxvGBqsgOyjscDuzfvx9bt27F2bNn\nAQC33nor7rnnHp/run79Ov744w8cP34cqampqFy5Mho0aIC6detKbZ+UlIQ1a9bg1KlTCA8PR61a\ntXDXXXf5bcYdEREREVGwuHLlCv766y/s3LkT165dAwAMGTIEFStW9Lmu06dPY/369Thz5gyKFSuG\nqlWronnz5oiJiZHafs+ePdi2bRsSExMRFxeH5s2bo06dOj73g4iIiIiKliI36jt9+nT88MMP+Ouv\nv5CWlub22rBhw3walL969SomTJiAGTNmICUlxeP1Bg0a4IMPPkD79u2F21+/fh0vv/wypk2bhoyM\nDLfXypYti+nTp6Nfv37S/ZFVsmRJ7fGPbe5AidBQ09ugwOV0qgXdBaJCy2ZTCroL5EcpmZno9cdm\nAO7frf4UUvd+wB5mXQOODGQd+N66+okkXbx4Ec899xy2bt2KAwcOQFXd45kOHTr4NCi/d+9ePPXU\nU/jtt9886goPD0eXLl2wYMECRERECLc/ePAghgwZgs2bN3u81r59e3zxxReoUqWKdH9k5TzXLGrR\nDCVCzb+cczqcptfpK9VhXbyqmrh7qonHSjUYoztNOlZG98Vov0XM2pfcqM6C/2xbSbFwaQqb3bwY\nVzEYLyt28/bP6P4Y7buwLpP2R7F4RRLFxPfeCJuJ73tOKZlZuG/jFgAFE8dbHsMDjOODQJEblP/u\nu++wYcMG2Gw21K9fH40bN8acOXN8rufixYvo0KED/v77bwDATTfdhNatWyM2NhaJiYnYsmWLNnNG\nNCjvdDrRr18/LFmyBADQqFEjtGnTBmlpafjpp59w/vx59O/fH8nJyRgxYkT+dlon5zpSJUJDUZKD\n8kUKB+WJrMNB+aKroNZoVEIjoISEW1a/mmW3rG4iX1y8eBGzZs0CAJQoUQKNGzeG0+nEunXrfK5r\nyZIl6Nu3LzIyMhAWFoa2bdvipptuQmhoKE6cOIG1a9fixx9/RFpamnBQ/uDBg2jRogWSkpIQGhqK\n7t27o1q1ajh06BCWL1+OX3/9FS1atMDmzZtRuXLl/O66G/c4PsSSON5pK/iBS9Vm4aC8iQO/TiUA\nBuUVkwblDe6LqccTFg/Km/h+BaKgGZQ3OiBeyAblzRpstnrQvLAOyru1UQBxvNUxPMA4PhgUuUH5\n0aNHY8KECWjSpAmioqKQnp7u86C8w+FA165d8ffffyMyMhJfffUV+vbt61Fu//792i21eh999JE2\nID9u3DhMmDBBe+3999/HPffcg/Xr1+OJJ57AXXfdhdq1a/vURyIiIiKiwiIuLg5ffvklmjZtirp1\n68Jms2HGjBk+D8pv2bIFffr0QWZmJlq0aIF58+Z5rCObmZmJ5cuXIzIy0mN7VVUxYMAAJCUlITY2\nFr/++ituvfVW7fU//vgDXbp0wZkzZ/Dwww/j119/NbbDRERERFSoFbnUu3369EHbtm0RFRVluI4p\nU6Zg27ZtAICvv/5aOCAPAPXq1UPjxo09ns/IyMCbb74JAGjWrJn22KVkyZJYsGABwsLCkJWVhTfe\neMNwX4mIiKjwUmx2y/8RBYK4uDgMGTIE9evXNzyjLSsrC0OHDkVmZiZq1KiBlStXChO7hYaGomfP\nnsJB+UWLFmHXrl0AgEmTJrkNyANAmzZtMH78eADAb7/9hrVr1xrqKxERERVe/ojhGccHviI3KJ9f\nmZmZmDJlCgCgU6dO6NGjh891rFmzBhcuXAAAjBo1CorieTtQ5cqV0bNnTwDAjz/+iPT09Hz0moiI\niIioaPv555+xf/9+AMDbb7+NEiVK+FzHggULAADR0dF46KGHhGVGjBiBkJDsG5K//vprg70lIiIi\nosKsyC1fk1+rVq1CQkICAGDIkCGG6li9erX2uGPHjrmW69ixIxYuXIi0tDRs3LgR7dq1M9ReXhSb\nzdS12QqKmUmWCruCWPOa69hTQeEa74GrMHz3KI7g3weiosS1ZGVsbCx69eplqI41a9YAAFq1aoVi\nxYoJy5QuXRq33XYbtm7d6hb3BwuZ9XutTgarX8PYzHXLResjG61fdKwCIVGuDMOJXc1cQ96sJLWF\nPIGrLJnjYHTdedF7ZXRddtFnSGbdctFnNljiSTPXRbdyjXd/rx/vj/XiiQIZB+V9tH79eu1xmzZt\nAAAHDhzAhg0bkJSUhFKlSqFp06Zo0KBBrnXs27cPAFCmTBnccMMNuZZr2LCh2zZWDMoTERFR8FJs\nNmtvTS2gBLZEVtiwYQMAoEWLFggNDUVmZiZ+++03HDx4EE6nEzfeeCPatGmDuLg44fYnT55ESkoK\nAPc4XaRhw4bYunUrTpw4gatXrwqXwiEiIqKiyfIYHmAcHwQ4KO+j3bt3AwBKlSoFp9OJLl26YOXK\nlR7lbr/9dsycOVO4pvyJEycAZC9Rk5ecrx8/ftynfiYlJeX6WnJysk91EREREREFs7Nnz2rLR9av\nXx8//vgjRo4cibNnz7qVCw0NxfDhw/Huu+96DKS7YnhAPo5XVRUnTpxAvXr1pPvKOJ6IiIio8OOg\nvI8uXboEAIiIiEDbtm1x5MgR1KhRA506dUJkZCR27tyJ3377Ddu2bUPr1q2xevVqtGzZ0q2OK1eu\nAIDXdSxzvu6alSOrVKlSPpUnIiKi4GN5EicmiKJCwhXDA8CmTZvw7rvvAsjOEdWgQQOkpqZi5cqV\n+Pfff/Hxxx9jx44dWLt2LcLDw7XtXDE8wDieiIiIjPNLIlbG8QGPg/I+Sk1NBQCcPn0aAPDEE0/g\ngw8+0JI5AcDKlStx77334tq1axgwYACOHDmCsLAw7fVr164BgNtzIjkvAlzbEBERERGRb1wxPAD8\n+eefiIqKws8//4y2bdtqz2dkZOCxxx7DV199hc2bN+PNN9/EhAkTtNdzxuOM44mIiIgoPzgo76Oc\nCZ0aNGiAqVOnwm53/+vT3XffjRdffBGvvvoq4uPjsWjRIgwYMEB7PSIiAleuXEFGRkaebV2/ft1t\nG18kJibm+lpycjKqV6/uU32BLlgSvABFMyktk20S+U8wnQ8p/xS7HYrdwlkwKmfYUOGgT8r6xhtv\nuA3IA9kD7Z988gnWrVuHo0ePYsaMGXjttde0yTc54/GiHsf7O8GpmclZra5ff2xkj4uii5dVp1z7\n+mSbsslT9fGC1dcoZiV1BcxL7Gpmn/zNcJJVwbELhOSvMozGuEb7pP+dlG+PSV1FmNTVneUxPMA4\nPgjwt8JHOW9FHTRokMeAvMvgwYO1x2vXrhXWkXPGjkjOW1293SKrFxsbm+u/mJgYn+oiIiIiIgpm\n+lj6oYceEpYLCwvTJtNcvnwZO3fuFNbBOJ6IiIiI8oOD8j6qVq2a9rh27dq5lqtSpYp2W+upU6fc\nXqtatSoAID4+Ps+2cr7u2oaIiIjIxabYYbNZ+E/hDBsqHCpXrqzNeC9dujRKly6da9mcMX7OOD5n\nPC4bxyuKgipVqhjpMhERERVSlsfwjOODApev8dHNN9+sPVaUvG/3ye31+vXrY82aNTh//jzOnz+P\nsmXLCsvt3btXe1yvXj0DvSUiIiIiorCwMNSqVQsHDhwwHMPfeOONiIqKQmpqKvbs2ZNnHa44/sYb\nb0Tx4sWNdZqIiIgowDkcDuzYsQOnTp1CeHg4atWqhVq1auW73r///ttrvKXXq1cvREVF5bttf+Gg\nvI86deqkPT58+HCu5eLj47W1JCtXruz2WocOHTBt2jQAwJo1a/DAAw8I61izZg0AIDIyEi1atMhX\nv4mIiKjwUWx2KDYLZ8FYWTeRn3Xq1AkHDhzApUuXkJiYiFKlSgnL/fPPP9rjnHG8oiho3749lixZ\ngj///BPXr193S+jqkpSUhO3btwMAOnbsaPJeEBERUbCzPIYHLI/jVVXFzJkz8eabbyIhIcHttdtu\nuw0ffvhhvsYyFy5ciIkTJ/q0zbFjx4JqUJ7L1/jo5ptvRoMGDQAACxYsgDOXJDNz587VHnfo0MHt\ntY4dO2q3zH788cfC7c+cOYPFixcDAHr06IHIyMh8952IiIiIqKhyTYRRVRXz588XlsnKysLXX38N\nAChVqhRuvfVWt9f79+8PIDvh6oIFC4R1/Pe//0VmZqZbeSIiIqLCZNSoURg1ahQSEhJQrlw59OzZ\nEx06dEBYWBh27NiBO++8Ez/99JPh+hs1aoSBAwfm+a9nz55a+WrVqgXd0t+cKW/AW2+9he7du2PX\nrl0YO3YsJk+eDFuOjOVr167FhAkTAAC1atVCr1693LYPDw/HSy+9hDFjxmDDhg2YMGECxo8fr72e\nlpaGQYMG4fr167Db7XjllVcs2xebXXHLRh7MGeiDhdGs8YFIdYj/KEUUTArT7yT5h+t7M+f3Z0FR\nbDaLZ8rz94MKj6ZNm6Jnz55YsmQJxo8fjyZNmqB58+ba6w6HA08++aQ2U37MmDGw291/v/r27YuJ\nEydi7969eO6553D77be7LW+5adMmvPHGGwCA1q1bo3379pbtj2JXoPz/eUgNgBjeJvF96jQxdlQk\nzsH5OS76+o3WJTouMsdBsXnun+os+PfZ6HERfWfy2jO4GY2DZH53/U30+yZL5twn1QcTj4u/j7FZ\nx8BqOY+L4izYz6HlMTxgaRw/f/58zJw5EwAwePBgfPrpp9rdg//++y+6du2K/fv344EHHsDhw4dR\noUIFn9u4//77cf/99+dZ5osvvsCSJUsAAA8//LDXJQoDTZEblN+1axeWLl2q/ZyVleX2mmswHche\ne3Ls2LEedXTr1g1PPfUUpk6divfffx8rVqzA3XffjcjISOzYsQMrVqyAqqooWbIkFi5cqCWVymn0\n6NFYs2YNVqxYgZdffhnLli1D27ZtkZaWhh9++AGnT58GAEyZMgV169Y18xAQEREREQWdWbNmuSVe\n3bJli9trrqUfAaBZs2bCpWM+++wz7N27F0ePHkXr1q3RrVs3NGjQAKmpqVi2bJk2IN+5c2fhdYDN\nZsOCBQvQqlUrXLp0Cbfffjvuu+8+VKtWDQcPHsSSJUuQmZmJsmXLYvbs2WbuPhEREVGBczgc2sTi\nunXr4r///S9CQ0O116tUqYLvvvsODRs2RFpaGiZMmJDrKiH55Yq1FEXBww8/bEkbVlJUVS1Sf57+\n/PPPMXz4cKmyxYsXR2pqqvA1VVUxffp0vPzyy0hJSfF4vU2bNvj0009Rp06dXOu/du0axo4di5kz\nZ8LhcLi9Fhsbiw8++ACDBw+W6qsvkpKStDU013Zpi5Jh//vl4WwF8gVnylNhwJny5CvXzLArGZlo\nu2ItACAxMRGxsbF+aT/n93jJO5+BEhphWVtq5jVcWTcFgH/3kUjkjjvucBuIz8vo0aMxdepU4WsJ\nCQl4/PHH8eOPP3q8FhERgf/85z9488033S4w9Xbv3o2HH34YO3fu9HitZcuWmDVrFmrWrCnVV1/k\n/P1f3a4VSv5/HwNhprwMM2fKyzDzuJhZl9HjIDNT3uj1nNG4Pj/HxXBfc1lC1l/tBwIz79ZTDM6m\n9fdMeaMxu0w/OVM+f4JxpvyVzEx0/G09AP/FuP6M4QHr4vg//vgDbdu2BQDMnDkTjz32mLDcPffc\ng+XLlyM2Nhbnz58XTljOj2PHjqFmzZpQVRUdOnTA6tWrTa3fH4rcTPlbb70V48aNkyorStzkoigK\nRo8ejUcffRSrV6/GP//8g6tXr6JcuXJo1aoV6tWr57X+iIgIfPjhh3j55Zfxyy+/ID4+HuHh4ahd\nuzY6deqUZ/tEREREREXJkCFDPHI15SavxGI33HADFi9ejBMnTuC3337D2bNnERoaiho1aqBdu3ZS\nF60NGzbEjh07sG3bNmzduhWJiYmIi4tDixYtcMstt0jvExEREVEwWbFihfb47rvvzrXc3XffjeXL\nlyMpKQlbtmxBy5YtTe3HrFmz4JpnPmTIEFPr9pciNyjfuHFjNG7c2LT6IiIi0KNHj3zVUbZsWTz4\n4IMm9YiIiIiIqPAZMWKEqfVVrVoVQ4cOzVcdt99+O26//XaTekREREQU2Pbs2QMge4WPvBKr3nbb\nbW7bmDkor6oq5syZAwCIjo7Gvffea1rd/lTkBuUpb4GQtC5YBfPtj0Zx2Q+i4MRzfSFis1uaJEq1\nOgEVEZnC6FIF/l72RnaJA7OWuZE9LjLHwcy6rEz+Kvsdr792EcX1MkvaiI6L1Z8r/XIrRpezCZbk\ns4GwVI3h9ixeqsbwEjoGl6sxukxLsCxNE4zL0AQti2N4wLo4/ujRowCAG2+8Mc9yOV93bWOW33//\nHf/++y8AYMCAAYiIsHYpIKtwUJ6IiIiIiIiIiIioEEpOTs7zdV/Wm79y5QqA7Bnqecn5umsbs7gS\nvALBu3QNwEF5IiIioqClWDzLxuoZPERERERERY3VMbyrDZfq1avnWda1NruMtLQ0AHnn4QSAYsWK\neWxjhtTUVCxatAgAUK9ePTRt2tS0uv0tOO5NISIiIiIiIiIiIqIC4xqMz8zMzLNcRkaGxzZmWLhw\noTbIH8yz5AHOlCciIiIKWpwpT0REREQUXPw9U/7YsWOIiYkxpd4SJUrgwoULXme/53w9KirKlLYB\nYNasWQCAkJAQPPjgg6bVWxA4KE9ERERERERERERUCMXExPi0bnxeKlWqhGPHjuH06dN5ljt16pT2\nuHLlyqa0ffz4cfz5558AgK5du6JcuXKm1FtQOChPZBKjmd+JiIiMUmx2KHYLZ8o7OFOeqDBTDMav\nqkN+7VkjbHZjq6w6HU5D28kcB9l9NlqXzD6L9k+xSbTnFLXnvp1T0CdFok+qqE+SnyuZd1nUL4/2\nbHKfF9Xp/fMRzNd0ssdBhtHjIPPey3yuRGT6JPP7IK7b+LEzeh61qp7c5GcfrWL1Pgcyq2N4wLo4\nvn79+li3bh3Onj2LpKSkXAf7Dxw4oD2uV6+eKW3Pnj1bW/8+2JeuAbimPBERERERERERERF50bZt\nWwDZyWHXrVuXa7nff/8dABAaGoqWLVvmu11VVTFnzhwAQJkyZXDPPffku86CxkF5IiIioiCl2Gza\nmpTW/GOoSERERERkJutjeOvi+K5du6J48eIAgM8++0xYJjk5GQsXLgQAdOrUCdHR0flu948//sDx\n48cBAIMGDUJoaGi+6yxovNIiIiIiIiIiIiIiojxFRUXhqaeeAgAsX74cs2fPdnvd4XBgxIgRSElJ\nAQCMHz9eWM/PP/+MefPm4bvvvpNq15XgFSgcS9cAXFOeiIiIKGi5ZsJYWT8REREREZnH6hje1YZV\nXnrpJfzyyy/466+/MGTIEKxcuRJt27ZFWloaFixYgO3btwMAxo4dizvuuENYx3PPPYdDhw4hOjoa\nffv2zbO9tLQ0LFq0CADQpEkTNGjQwNwdKiAclCfSKcrJRoiI8mJ1Yj8iIgoOZsbLZn63WJkg1syk\nuIGYDNboLfTOfN187/242wXHyvBnRpdUUSaJbKAyMyGt0c+2lQlbhe35OYmr8eNSuBO2cryEACAy\nMhIrVqzAkCFDsHTpUnzzzTf45ptvtNdDQkIwfvx4vPLKK6a09/333yM1NRVA4ZklD3BQnoiIiCho\n2Wx22KycZcOZ8kREREREprI8hgcsj+Pj4uLw888/Y/v27Vi+fDni4+MRHh6O2rVr47777kOFChXy\n3L5Hjx44c+aMtj59XpKTkzFw4EAoioIBAwaYtQsFjoPyREREREREREREROSTxo0bo3Hjxj5vN3ny\nZOmyo0eP9rn+YMBEr0REREREREREREREfsKZ8kRERERBioleiYiIiIiCS7AneiVzcFCefMbEHsHN\naEIeIvJOlUgUF8wK+/mfiWyJiPwvEJLGmpk4UZ9o1d/fnXa75yCM1HERjN3IJMC1C5Jvqk7J98Fg\n4lVFYpxJJiYTJZEtbMy69ivsyVmtrqugk7MChT+OJwpGHJQnIiIiClKcKU9EREREFFw4U54ArilP\nREREREREREREROQ3nClPREREFKQUm83imfKcv0FEREREZCarY3hXGxTY+A4REREREREREREREfkJ\nZ8oTERERBSmuKU9EREREFFy4pjwBHJQnL5ihW55Zme0Dha0QvfeKrfDsSzBRnWpBd8E0TofcvgTL\neUB1OAu6CwFJ9J2nSr73RET+ZrMpsP1/jOMsRN+5+eHvaxfRd4TNrFhAMJbiNPj9bfT7zW73PqAj\nrMfgOJBiMzE+CfX+PgRzrOrv6xvTPtcw9/fUrLrM3D9ZHGvxP1uO3xsbxwgoAHBQnoiIiChIKYrF\nM+UVzrAhIiIiIjKT1TG8qw0KbMExpY+IiIiIiIiIiIiIqBDgTHkiIiKiIKXY7VAklhfIT/1ERERE\nRGQeq2N4VxsU2DhTnoiIiIiIiIiIiIjITzhTnvIkm+CuMCUpCdREjf5OvBoIyVELIuGOGQL198Hv\nCStN/MO80cRmZimIT6JsclkjjJ7nCluC2MKQxFWxWbymvMVrXRKROZiwznwyyXP9HfPJJF4VMTMZ\nq1EysZzNzxFXMMcBgXq9UdDXb4F6XIziub3wsjqGd7VBgS04R7yIiIiIiIiIiIiIiIIQB+WJiIiI\niIiIiIiIiPyEy9cQERERBSubzdpbU22cv0FEREREZCqrY/j/b4MCG98hIiIiIiIiIiIiIiI/4Ux5\nIiIioiDFRK9ERERERMGFiV4J4KA8mUQmc32gZkJX/Jwh3mbhcVBMzM5us/C4WP1Z8Pd7GiyUAPhO\nVh1OQ9vZ7d47L3MeMsoJY/0WUZ1y/TR6rnBaeBxEv1tG31MrWflZICKiosFmYlxd4AJgX+yhjM+J\niIhy4qA8ERERUZCy2RRLB47UABjIISIiIiIqTKyO4QHG8cGAg/JEREREVOAyMjIQHx+P1NRUlC9f\nHmXLlrWknaSkJJw+fRrXr19HbGwsqlatChsTYRERERERkR/xCoSIiIgoSCk2xfJ/Vrtw4QIeeeQR\nxMXFoWbNmmjUqBHKlSuHRo0a4euvvzaljczMTEybNg3169dHqVKl0KBBAzRp0gQ1atRAiRIl0Ldv\nX+zevduUtoiIiIiI8uKPGN4fcTzlDwfliYiIiKhAHDlyBA0aNMAXX3yBlJQUVKpUCQ0aNECxYsXw\n999/44EHHsBTTz2VrzbS0tLQvn17PPXUU9i/fz9sNhtuvPFGNGjQACVLlsTVq1excOFCNG7cGN99\n9505O0ZERERERJQHLl9DfmM08Z7VSUH1SQrNTBJqZlJXo3/lNCtha37eB7OOqWLi8gJWJrItipyS\nyT5l3kPVaSxxqCiRrdEkpPrzVX4+L/pjI/u7LJsQVk9/3jEz8au/k7oyYat3ChQoioUJxGFd3ZmZ\nmejevTvOnTuHkiVLYt68eejevTsAIDExESNHjsS3336LadOmoVGjRnj44YcNtfP666/jzz//BAB0\n794dM2bMwI033ggAcDqd+Oabb/Doo48iLS0NQ4cORevWrVG+fHlT9pGI/MvMON5KZl4jGGX1NZZc\nH4Lj/SIxf8eF4j4UfKxoZqxtpUB4v+h/rI7hXW1QYOO3IBERERH53eeff46DBw8CAD755BNtQB4A\nSpUqhblz5+KWW24BAIwbNw7p6emG2pk3bx4AoFKlSvj222+1AXkAsNlseOCBB/DOO+8AyJ5Vv2TJ\nEkPtEBERERERyeKgPBEREVGQstkUy/9Z5YsvvgAA1KhRA/379/d4PTQ0FGPHjgUAnDlzBr/88ovP\nbTidTiQkJAAA7rjjDkRERAjLtW/fXnt8+vRpn9shIiIiIpLljxjeyjiezMFBeSIiIiLyq4SEBGzf\nvh0A0K1bt1xv373nnntg+/9lr5YuXepzOzabDZUrVwYAXLp0KddyOV+rUqWKz+0QERERERH5goPy\nREREREFKsSmW/7PC33//rT2+/fbbcy0XHR2NWrVqeWzjiyFDhgAA1q9fj23btgnLTJkyBQAQExOD\nnj17GmqHiIiIiEiGP2J4q+J4Mg8TvRIRERGRX/3zzz/aY28z06tUqYJDhw7h8OHDhtp64YUXsHv3\nbixevBjt2rXDyJEj0bx5c5QsWRInTpzAf//7X2zevBklS5bEggULUKZMGUPtEBERERERyeKgfBHn\ndKimZAu32a37C5xMRnXFwvYLgtG/aNrsxm5+kTl+isG6AUCxGdvW+P74d7uiSHU43X62Sx47/XZC\ngrqcMtuZynt7MucmwPNzLLsv+vOA6sz/uTqQyB4/K+X3+8+M789gkpycnOfrsbGx0nUlJSVpj0uV\nKiVV75UrV6Cqaq5L3eSmWLFiWLRoEZYuXYqnnnoKkydP9ijz+OOP46WXXkKlSpV8qpuI/KMgYjQr\nr2+MXrsYPQ5G9yUQr0nk62JcD0jG3lL1GIt5jMbwRuNeo7FZfo6TlZ80M2NNo78TZn2GiMgTB+WJ\niIiIgpTVt6bmrLt69ep5llVV+QvHtLQ07XGxYsXyLOtKzqqqKq5evYrixYtLt+OydOlSPP300zh2\n7BgURUGtWrUQFRWFEydOIDExEZ9//jkuX76MTz75BCVKlPC5fiIiIiIiWf5YXobL1wQ+/vmYiIiI\niPwqJOR/80IcDkeeZbOysoTbyZo9ezZ69eqFo0eP4v7770d8fDwOHTqE7du34+LFi1i0aBFKlCiB\nBQsWoHXr1khNTfW5DSIiIiIiIl9wpjwRERFRkLIpCmw+LufiCzVH3ceOHUNMTIwp9eacjX716tU8\ny7peDw0NRXh4uE/tJCcn44knnoDT6USLFi3wzTffwG63a68rioLevXujZMmS6NixI/7++29MmjQJ\nEyZM8KkdIiIiIiJZVsfwgHscT4GJM+WJiIiIyKuYmBjExsbm+s8X5cuX1x6fOXMmz7Ku13NuI2v5\n8uXazPeRI0e6Dcjn1KFDB9SvXx8AsHDhQp/bISIiIiIi8gVnypMpzEpAYjQJkSjxjNFEQaJEJoGY\nKEg2gZKViaRkE7jK9FWqPaNJowwmmlVyGbwpalTB0hIyx1R1GvtdEv0O6hPJyiYckikl00/xeUHu\nd0t/fhL9Pvg/ka13ZiZ1MjOpa1FLruqNP9eUN1PdunW1x4cPH0aXLl1yLXvkyBGPbWSdOHFCe1y7\ndu08y9auXRv79u1z24aICoa/Y2/DiVAtjLNl+yRznpaLxSXbM3iNYNb1QH62M3pNECxEMa1HGaOJ\nV2Vjb105m0SfZOuXiScVm2R7+kSygus++ZjT6DH1Xr/MeYCxcXDimvIEcKY8EREREflZw4YNtSVs\n/vzzz1zL7d+/HxcvXgQAtGzZ0ud2XEliAffksiKu13NuQ0REREREZAUOyhMREREFKdcsGyv/WSE8\nPBzdunUDACxbtkwbeNebPXu29vi+++7zuZ2bbrpJe7x27dpcy6WlpWHLli0e2xARERERmc0fMTxn\nygc+DsoTERERkd+NHTsWiqIgPT0d//nPf6Cq7rdf7969G9OnTwcAdO/eHfXq1fOoIyEhAZs3b8bm\nzZtx6dIlj9fbtm2LuLg4AMDUqVOxb98+jzKqquK5557D5cuXAQD3339/vveNiIiIiIgoL0V+TfmM\njAwkJiYCACIjI1GyZElT6gKAMmXK5JpQTCQlJQVhYWEIDw833AciIiIqOhQbYLNwFozTwukbjRo1\nwpgxY/Dee+/h66+/xsWLFzFixAjExsZiy5YtmDx5MtLT01G6dGl88MEHwjq++eYbPP300wCAr7/+\nGv3793d7PSIiAu+//z4GDx6My5cvo3nz5nj88cfRtm1bREVF4dixY/jyyy+xbt06AMDNN9+MUaNG\nWbfTZKrk5GSkp6cDAEqXLo3Q0FDDdV2+fBnXrl0DkH0nhy/Ji51OJ65cuYLo6GgoCmelERERUd6s\njuEBa+N4MkeRG5Q/duwYNm7ciC1btmDr1q3YtWsXMjIyAADDhg3D559/brjuRx991O026+PHj6Nq\n1ap5brNnzx68/fbbWLZsGa5cuQIAuPHGG9G/f3+89NJLiI6ONtwfIiIiokD2zjvvwOFwYOrUqVi9\nejVWr17t9nq1atXw3XffoUaNGobbeOihh5CVlYXRo0cjJSUFkydPxuTJkz3KtW/fHnPnzuWa8gEq\nKytLi99d/x8/flx7fdOmTbjjjjsM1X3u3DnUr19fu9uiffv2WLNmTZ7bqKqKr776Cp9++il27NiB\nrKwshIaGolmzZhg1apTHH4iIiIiIChuHw4FffvkFy5Ytw6lTpxAeHo5atWqhX79+aNiwoaltqaqK\nTZs2YenSpTh+/DhSU1NRuXJlNGjQAPfddx/Kli1ranv+UOQG5R966CFs2LBB+zk/M2pyWrlypduA\nvIwFCxZgyJAh2h8FoqKicP36dZw8eRKTJ0/G119/jd9++w01a9Y0pY8iqtNpOAN7XhS7sT/JyWYO\nl8lCLpPNHAAUqbo8j5HMPor2R6bv/iazL4rNs4xN8n2Wqt9gH8R1yd+h4msfRGyS/QpETqf333/R\ncZE5b4jeB9XhkOuYSWTeGdGeqLrjYvQYFATZ86ie0f2RPdd6Y7Tfsqx4v/Sfk4KgKNkzbays30o2\nmw1TpkzB4MGDsWDBAuzbtw+pqamoUKECOnbsiL59+6J48eK5bl++fHk0a9YMALRlakSGDh2K3r17\n49tvv8XGjRtx+vRpXL9+HbGxsahfvz66detmKJEs+c+RI0fQqlUrt+dCQ0ORmZmZ77pHjRolXP4o\nN5mZmbjvvvvw888/AwAURUF0dDQuX76M9evXY/369VixYgVmzZrFmfMByGgsLnPNkF3O+0lZpg+y\nawHr43FRP82M9fV1ycbPovplYnZR/TKxt1nXH4FKNq6RKSe6HpDZThTX2yRiI1Hd+uecojJ2iesP\nh+fnXxSrOoVXAO5kPx1OiZLi8QRFV8baWJgCi9UxvKsNK/3777/o378/Nm/e7PHaW2+9hccffxzT\npk0zZdx13759ePTRR7Fx40bh608++ST++9//YsiQIfluy5+K3KB8jRo1ULVqVTRt2hRNmzZF3bp1\nERMTk686r1y5gkcffRQA0KBBA+zZs8frNtu2bdMG5Bs0aICvvvoKjRs3RlZWFr755hs8/vjjiI+P\nR9euXbF7924UK1YsX30kIiIiClS33HILbrnlFp+369evH/r16ydVNiYmBiNGjMCIESN8bocKXmho\nKFq0aKHF8E2bNsWKFSvw5JNP5qvehQsXYtGiRahSpQoSExORkpLidZtnnnlGG5AfPXo0XnnlFZQq\nVQoJCQl48cUXMWvWLMyZMwc1atTAK6+8kq/+EREREQWa5ORkdO7cGYcOHUJoaChGjRqFNm3aIC0t\nDfPmzcPKlSsxc+ZMXL9+HV988UW+2tq6dSs6d+6M5ORkREZG4sEHH8Sdd96J2NhYJCYmYsuWLVi4\ncCHOnTtn0t75T5EblNfPZnetQ5kfzz77LOLj49G7d2/UqlVLalD+2WefRUZGBkqVKoXVq1ejXLly\nAICQkBAMGjQIxYsXR+/evfHPP//gww8/xHPPPZfvfhIREVHhoiiKpTNxOcuXAkWNGjXc7nY1w6VL\nl/DEE08AAGbOnIkHH3zQ6zYHDx7EzJkzAWTfgTt16lTttRtuuAFfffUVzp8/j+XLl2PSpEl45JFH\nUKFCBVP7TURERMHN6hje1YZVXn31VRw6dAiKomDx4sW45557tNcGDhyIxx9/HJ988gm+/PJLDBgw\nAB06dDDUTmJiInr06IHk5GTUqlULq1at8lgmfODAgfjggw/ccnwGi+C9XytA/Prrr/jvf/+LkiVL\nYvr06VLb7N+/X0soNmrUKG1APqd7770XjRo1AgB8+umnpvWXiIiIiIiyb3U+f/48+vXrhy5dukht\n89lnn8HhcMBms+H1118XlnE9f+3aNZ+XtyQiIiIKZElJSfjkk08AAH369HEbkHd5//33Ubp0aQDA\n22+/bbitl156CefOnUNYWBh++umnXPN22u12lClTxnA7BYWD8vmQlpaG4cOHA8heL6lixYpS2/30\n00/a4/vuuy/Xcq7Xjh49in379uWjp0RERFQY2WyK5f+ICqOffvoJX3/9NWJiYtxmu8tsBwC33XZb\nrheGTZo0QZUqVdzKExEREbn4I4a3Ko5funSplhsztzXcIyMjtSUm//jjD1y8eNHndpKTkzFnzhwA\nwKBBg3DTTTcZ7HHgKnLL15jphRdewPHjx3HHHXfg8ccfl95ux44dAICIiAg0aNAg13JNmzZ126Z+\n/frGO5sLp1OF0/m/hCJm/dIaTagnm2xHJiGgbBInmYQqooRJ+n0M5kRBIrJJVT22M5hUSaY92QSu\nUgm2TEoQJcvfnw/Z30G7RL+EdemOn0zCWKvJJGSWPS76z2MgJPQ0k1zyLvOSTZmZxDUQEuy6vjdz\nfn8SUfBITk7GY489BgCYPHkybrjhBqntrly5gqNHjwJwj9NFmjZtin///Rd///03nE6nJUnh9XG8\nXjD/Ua2wx9ki+sSuoiSrwu101ymycbZngljvSV1FdYnic9nkrDJJY8UJYs2J46WPsQW/vy5GY0xR\nIlRh/VIxnyCpqq5fMslZAc9rAuF2Ns8Esfokropse1LHwbOMXfe5lU0GqwrOufpxBzPjXn8LhDjb\nKF/jcsbxxrlW/rDZbGjZsmWu5e688058/PHHcDgc2LhxI3r06OFTO0uXLsW1a9cAAAMGDDDe4QDG\nQXmD/vzzT3z00UcIDQ3FZ5995lOgfejQIQBAlSpV8tyuWrVqHtsQEREREZFxTz31FM6ePYvWrVvj\nkUcekd4uZzxevXr1PMu64vhr167h5MmTuc6qJyIiIgomBw4cAABUqFABJUqUyLVcnTp1tMf79+/3\neVB+8+bNALIH/5s1a4bLly9jwYIF2LBhA5KSklCqVCk0bdoU/fr1Q9myZQ3sScHjoLwB165dw7Bh\nw6CqKp599tk8Z7uLuJIPxMXF5Vku5+u+JixISkrK9bXk5GSf6iIiIqLApNgUj9mVZtdPVJisXLkS\ns2fPRlhYGD799FOfkqDljMd9jeN9GZRnHE9ERFS4WR3Du9pw8RY/xMbGStd7+vRpAPC6hHfO18+c\nOSNdv4trMkS5cuWwbds2DBw4EAkJCW5l5s2bhxdeeAHvvvsuRo4c6XMbBY2D8gaMHz8e//zzD2rU\nqIGXX37Z5+3T0tIAAMWKFcuzXEREhPY4NTXVpzZKlSrlc7+IiIiIiAqrK1eu4NFHHwWQvQxl3bp1\nfdreFcMDjOOJiIgoeHi7w09V5ZfzccU1kZGReZbL+bqvsRDwv0kK169fR/fu3ZGeno6HHnoI99xz\nDyIjI7Fz5058+OGHuHDhAkaNGgVFUXxaWjwQcFDeR5s3b9aSQX3yySduAbcs14wcbx/6nK9bsQ4l\nERERBTfOlCeS9+yzzyI+Ph516tTBSy+95PP2OWfVM44nIiIio/w9U95MmZmZAICQkLyHlENDQ7XH\nrsSwvkhPTwfwvzsVFyxY4La2fLdu3fDwww+jefPmOH36NJ577jn06dPH692MgYSD8j64fv06hg4d\nCqfTiQcffBAdOnQwVE9UVBQSExO1hAW5uXr1qts2vshruZvk5GSvfyUjIiIiIiosfvvtN3z++ecA\ngE8//RTh4eE+15EzHmccT0RERMHi2LFjiImJMaWu4sWL4/Lly9qgeW5yxkq+xkKudly6dOkiTPZa\nuXJlTJw4EQ8//DDS0tLwzTff4IknnvC5rYLCQXkfzJ8/HwcOHEBUVBTGjh3rsZYR4H5b64ULF1Cs\nWDHYbDa3pANly5bFyZMnhdvnlPN1X5MW+LIeVE5mZaC2GfyLnNFs34rdcwaSbNZzfbZ0EVE2dkW3\nnajvMv0StS/K6q7/K6co07xN0J5Z8lO36DjIbWc3VLfMjDSZPhnudwDMiBP1QXUa+/2SIbvH+h6I\nf28833fV4fBat+j9kjmniD7bot8vs8jWLToPeNblvYzseVV0npMhe671bM+6Yyxi1vdboLEpCmw+\nrIltpH6iwmD8+PFQVRW9e/dGnTp1hHG4a3Z7RkaG9npUVJR2IZkzHg/EOF7PzPOe0djeLLLfGTKx\nm+h7S+Z6wCgz69Zff2Q/577PohhQFOvYwtyHAkTbiWIyfXuiuFtfd+712/L8GRD3XV+XbMwuFf8H\nQByvJ4rhRVdJMr8nojKi+vXxqnA70fWori5nRpZn3RIxu2rzjP1Vu2D/dPXLRpf+jkPNFCyxt4zC\nGp/LsDqGd7XhEhMTY1p8ERMTgzNnzuSZAwdwz5ETHR1tqB2XvJLEdu/eXXu8ZcsWDsoXVq4ZL6mp\nqVLJXZs2bQoAKF26NC5evKg9X7duXfz111+Ij4/H9evXc52pc/ToUbdtiIiIiIjId644/ocffsAP\nP/yQZ9k///wT5cuXBwA8//zzmDRpEgCgTp06sNlscDqdOHLkSJ51uOL46OhoVKhQIb/dJyIiIgoI\nNWvWxP79+3Hy5Mk8y+V8vVatWj63U7t2baxatQoAUKlSpVzLlSpVCpGRkbh69SrOnz/vczsFiYPy\nPihevDjKlSuXZ5nU1FRttnxcXBzsdjtKly7tVqZZs2aYO3cuMjMzsW3bNrRq1UpY14YNG7THrgF+\nIiIiIheuKU8kJy4uzmscf/78eaiqirCwMG02WYkSJbTXixUrhoYNG2LXrl1ucbqeqqrYtGkTAMbw\nRERE5CmY15Rv2LAhfvrpJ1y5cgX//PNPrgPu27Ztc9vGV7fccov2OK+lcpxOJ65fvw4AhvJ+FqTA\nuzcrgA0ZMgQJCQl5/st5m8S2bduQkJCAffv2udXTq1cvLVHUggULhG05nU58++23AIDbbrsNVapU\nsWiviIiIiIgKtzVr1niN40uVKgUAaN26tfbcuHHj3Orp3bs3AODQoUPYsWOHsK1Vq1Zpd8nee++9\nFu4VERERkX/dc8892uOlS5fmWm7ZsmUAgHLlyqFJkyaG2nEtkZZbzAUAe/bsgeP/l7s1MiO/IHFQ\nvgBUrFgRffv2BQB88cUX2L17t0eZKVOm4N9//wUAPPPMM37tHxEREQUH1ywbK/8R0f88+uijWuKx\nMWPGaBeBLunp6XjhhRcAAGXKlMGgQYP83kciIiIKbP6I4a2K45s1a6YtsT19+nS35PYuW7Zswdq1\nawEADz30kFTeP73y5cujS5cuAIBZs2bhypUrwnLTpk3THvfs2dPndgpSkVu+5tq1a7h8+bL2s+sW\nB9drOZMy6RO0mmnSpElYs2YNLl26hPbt22PSpElo27Yt0tLSMHfuXLz//vsAgLvuugsPPPCAJX2w\nktGEHWYmiJVN+COTKEWYjFW3nSjxkky/ZJNN6ZM+yp5gZfopw9+JZUWMJ4wNzORPRvdHTzr5mUTf\nRYmeZBKoGk2yanQ7M5mZ1NVoslSzkrpm90EmyZd57ckw8z0tygmhiIq6xMREZGRkaD+npKS4vZYz\nji9evLjb0jNmKVeuHCZMmICnn34aa9euRefOnTF+/HhUq1YNBw8exGuvvYZdu3YByJ5kY0UfCoKV\n514zk8jKxCciMvG46LtTJq62OrGsPr4TJkaViXElkroCgD00xGsZmaSuAGCXSjYrkSBWmNxWlArV\ne935KWcWowlbEer5lFP3h0NRslThNatNl3hVsJ1DkMRVT5j0V9CeA97rkrlOEb1ToqNpamxqOPGq\ndfG4lddTjMVJURRMnjwZ3bt3x4kTJ9CvXz/Mnj1bu+Nw586d6Nu3L1RVRalSpfD8888L6xk6dChO\nnjyJqKgo/Pjjj8Iy77zzDlavXo2zZ8+iZ8+emDt3rra+fGZmJt5++2189dVXAIAuXbrkujx4oCpy\ng/Lz58/H8OHDha8tWLDAbTmZ4sWLIzU11ZJ+VK1aFUuXLsV9992HM2fO4JFHHvEo06ZNG/zwww/a\nUjdEREREOdlsiqkDWqL6iQJF165dsWXLFuFrOW+lBoDRo0dj6tSplvTjqaeewsWLF/H222/j119/\nxa+//ur2ekhICN555x3OkiciIiIhq2N4VxtW6datG1555RW88cYbWLp0KSpXroyGDRsiLS0Ne/fu\nhaqqiIiIwOLFiz3ybLps3LgRhw4dQnR0dK7t1K9fH3PmzMGgQYOwdu1aVKtWDQ0bNkRkZCT27t2L\n5ORkAMCtt96KuXPnWrGrlipyg/KRkZFekzy5uG5N9UWJEiW0+u1e/jp/xx13YO/evfjss8+wfPly\nxMfHIzw8HLVr10a/fv3Qv39/Q7d4EBEREREVNqVLl5aO40uWLOlz/eXKlUNISIg20ysvEyZMQM+e\nPfH5559j69atSExMRFxcHFq0aIFHH30UDRo08Ll9IiIiomDx+uuvo2HDhnjttdewd+9ebN68GUD2\nWGinTp0wZcoU3HTTTflup1+/fqhZsyaef/55rF271m19+XLlymHEiBF44YUXgi7JKwAoqqry3pMi\nJikpSbvYWN2uFUqGCu5zKyBm/iXPzNsMZW4xlV0WRqZfUu0JjpXMcjKifsredirTnswtpsJ+CW9X\ntet+lntP9X/M4vI1PtQluC3UaJuiMk6J+kXbqfpbbw32U9gnmX0RtCfup8xtqILtuHyNtEC6ZfZK\nZiY6/rYeQPbSGbGxsX5pN+f3eLNXliAk0rrlMbKupmDLG9lrM/pzH4lILJDjeKOsnMmXn1jLaPxv\nNNbXx/biOFsQ/+uWkzEan9sEnyUuX+NbObMYXr5GwGP5GumYVhdDC7YTLV8js52oPUdmltcyzsxM\n7+1JxvpOj/Y840vZmF0mZjZ+3cDla6xSEHG8P2N4wL9xfHx8vDbRuHr16lJtbdq0CWlpaQgNDUWb\nNm2k2klMTMTx48dx9epVlCtXDrVq1Qrq1UWK3Ex5IiIiIiIiIiIiIsq/ypUro3Llyj5t07x5c5/b\nKVWqlNQdjcGCa6MQEREREREREREREfkJZ8oXcapDhWrL/fYj2SVZzCJ7K5TMba6yt2zJ3I4oum1M\nf9up6PYz0fHT90vUvkx74n567rPMkjYyxyo/y7bI7LORemTrMrodyTN6i6SpS+9YuIxPfuqWWR5H\nvJ2xW2E9y8idVwv69thAvRU2r+Mne2ytpNiy/1lZPxGRlYye/62+HtB/L4picfH3gDlxryyP5UEC\nIMY1vJyl7NI7uusS0VI1RtsTlgviPG/6nhuN2kTL0Ehdh0kuOSlD9D5IxcIm9kGG1UvVGI29AzXW\nLqqsjuFdbVBg41tEREREREREREREROQnnClPREREFKQUm2JtkkQL6yYiIiIiKoqsjuFdbVBg40x5\nIiIiIiIiIiIiIiI/4Ux5IiIioiCl2BRLZ8Fwhg0RERERkbmsjuFdbVBg46A8BSV9kpL83PZjNAmp\n0eRP+uSvsklIPdoT9El00tUnmbQJtpRJSCsiKiHsl25/jCanUQRJnER16Z+xGUwKZJRsMigr+yBs\nTyLJkWyfpD4fgvbkEpM6PJ8zmHhVX06UdFV0XIwmUJVJ6qoKkiyZldQ1t34ZaS8/fZDBZFNERJQf\nZiaIlYt7PeM7ufhfFKsK6vIo47mdOI7XbSfYF7n43DP+El2TyFw7yV7fyGwnw8xrEuH++DlRqEf7\n+YjPnbr3VTbuNfpeyMXQ5lwPiOqSicWzt3P/PRVfI8jF7Po+yMTiorqYwJWo6OGgPBEREVGQUhQF\nimLhTHkL6yYiIiIiKoqsjuFdbVBg45ryRERERERERERERER+wpnyREREREHKZlPytYSbTP1ERERE\nRGQeq2N4VxsU2DhTnoiIiIiIiIiIiIjITzhTnoiIiChIKTZFmOTbzPqJiIiIiMg8VsfwrjYosHFQ\nvohT7AoUO39RcxJlPVfs3m8qEWVitwmOrT4bu+j4y/RB2J6gX/oTsSizvE2wpb5fstngRaXMuiVH\ndQqOi8177Q7Z91RXv01Qt8x7I3usAoFMX52C426knuxyDvefJeoW1S/9edRvJ2hPpi79762o7ly3\ndbpvK/rdFbdprF96su0Zab8oyOs7UnHy+5OIAoPM90FRJDqHO51yx0p/27/oe9EpEeWKS3ivS7Sd\nUxRpZ+jaC5NpDUBGlm47z6EBZ0am53ZhoXnWk3tdnuVUXQwtis9tTsF1isP7dsIYU7c7MtcRIja7\n3dB2Ik5dbCzLzBhaVJdHDC3aTqIu0fsuurbQf9ZkY3aZWN+Z4XmMPbcTxfqez4mPg3Wxvuz5yluf\nKBvHvijQcFCeiIiIKEjZbYDdwlkwgrEQIiIiIiLKB6tjeIBxfDDgW0RERERERERERERE5CcclCci\nIiIiIiIiIiIi8hMuX0NEREQUpOyKYu3yNQrX3iQiIiIiMpPVMTzAOD4YcFCeAp4+yVJhI0rCIpP8\nVZTQSDb5q8d2ovRPunw4NmGyW9mEP7pkTKKkSqIEtBLJn4SJVyUSH+kTRImoskmc9EmjJBIDFwSj\niTv1yVmFZQwmm5ItI5NU1d9JXEUJoURkkj2ZldQ1mMic240mtyIiKgpUhwrVxvNkXvLz3SkT2dgk\nSomSwcokf5XdziOOz/Aso9i9x+ciMglU1dBQjzKiRJ42Qfyvr194fSOxnYhMGfH1TXCQiVUB47G3\nx/ssmehV/94Ly2R6JhCWSUgr2mdnpnsiWdm4Xh/HG03qKtpW9ppLJs4tbPF/Qct5PHlsKRBwUJ6I\niIgoSNls1s6ycRTyP4wTEREREfmb1TE8wDg+GATvn4aJiIiIiIiIiIiIiIIMZ8oTERERBSm7xbNs\nrJ7BQ0RERERU1Fgdw7vaoMDGmfJERERERERERERERH7CmfJEREREQYoz5YmIiIiIggtnyhPAQfki\nz2ZTYCviv6iKPfBuGBFlAlfsiq6MZFZ3iRtiZI6AE4L2HIK6BMdTdbgXVOxyfVeduroyPcsoNmPv\nn6ifHnVb/Nkwq37Zz4KV9TsN9kF1Sn4WJOoX/d7oyfZTdcrU5b0MYPz9kdkfK8l+Pq38/AX691Og\n94+IyCpGv/cDgUwMCEjGFTLtCUo5BDG0/nvXZvdsX7V7fu/otxPFMIrDczt9/aLvc1EsoI+9bRlZ\ncttJ1CWi2O1SdenZDF4jyDAaw1sds4s4JWJtUb/012/C7QR16+sS1S06f+jrEvfJ87Otr0v0+RfF\n7J79NLadiFPiOiK3NmUE6/lX9txLVJRwUJ6IiIgoSIXYFIRY+McBJ//wQERERERkKqtjeIBxfDDg\nn6qIiIiIiIiIiIiIiPyEM+WJiIiIghTXlCciIiIiCi5cU54AzpQnIiIiIiIiIiIiIvIbzpQv4hSb\nLSATnQYjmyDxkpn0iWD0iV9z304iGY3M3+dkk1rKJLYRJmwV7Y/3BEMiMklkZGqWPcaFnZkJR81K\nTCT1ORO2b96+mJmsy8qkrqJzk5nHoSh/hyiOgt93m8WzbJjMloiA4E0sKGJ0X0TxpVnJYAHPhLAy\nyWCz++XeB1F7opjWM7Gs3PleH7PLJm+U6YMsmQSxJE+UsFVqO8lkrHriRK8y2xlL2CpTl2xcL5PE\ntaglcJUlu39FJSGs1TG8qw0KbEXj005EREREREREREREFAA4KE9ERERERERERERE5CdcvoaIiIgo\nSNltNtgtvI3fyrqJiIiIiIoiq2N4VxsU2PgOERERERERERERERH5CWfKExEREQUpu2Jtkii7wgRR\nRERERERmsjqGd7VBgY2D8kWcza7AZucvajAymtVdXJfD0HaK4LNjsCqiAmPm71Kw4HnfHDyORERF\nh9PhlCpns7vfjC4bZzh05URxNpyegbbqMPZdpNiN3TRv9LtPuD9U6JgVVzsl61Elfy896nd6r9/o\nvsieK4iIOChPREREFKTsNotnyls8g4eIiIiIqKixOoZ3tUGBjWvKExERERERERERERH5CWfKExER\nEQUpzpQnIiIiIgounClPAGfKExERERERERERERH5DWfKF3GKXWHSnQDk78STsol0PAi2M5psR0Qm\nAY8Mq49nMCfz0ScjM5OZ5xabSX/lN5rUTMTfST55rg48gfCe2BQFdsW6ftgsrJuIgoc+Xgjm2Mdq\nph0bz5yuQqrR2CbTez/9/T4bjdkLW6wfiPG5v2MeK48BwHNYQbD6PQ02Vsfwrjb8RVVVXLx4EeHh\n4ShZsqRp9Z45cwYZGRley0VFRSEuLs60dv2Fg/JEREREREREREREJG379u2YOHEiVqxYgfT0dABA\n2bJl0b9/f7zyyisoXbp0vurv1KkT9u3b57XcwIEDMW/evHy1VRA4KE9EREQUpLimPBERERFRcCkM\na8rPmjULw4cPR1ZWFgCgdOnSuHbtGs6fP4/p06fju+++w++//46bbrop320VL148z5nwZcqUyXcb\nBYGD8kRERERERERERETk1aZNm7QB+dtuuw1z5sxB/fr1oaoqFi1ahEceeQQJCQm45557sGfPHkRG\nRuarvfvvvx+zZs0yp/MBhIs6EREREQUpu+1/M22s+VfQe0hEREREVLhYH8NbG8c/++yzyMrKQlxc\nHH755RfUr18fAKAoCu6//35tKZljx45h2rRp1nUkyPFSi4iIiIiIiIiIiIjytHfvXmzcuBEA8MQT\nTwiXlenWrRsaN24MAPjss8/82r9gwuVrijjFboOS489nNj9nVQ9ETodqaf2qRKZ3mez2qmQ/ZfZH\npk9Op1x7Mv0SZbuX2U5+n93rVyX7bvS9lzl+gUox+OdzmXOFIljDzibRnsznX1RGqm7Jz4JNYv09\np+TftaWOlYnnXqPvqQx+R2RznSusPNZERN4odiXP7w/ZuMkIme/c/BDFioWd0ffL4XCYUo/sMdfH\n1bLxs0y8LOq71LWMU67vxmN9a68P9YzGhXLxubH4VbZPMrGRqJ+i6wbP7Yydd8yNs4teLGz1+d5K\neb1firPovZdm+emnn7THvXv3zrXcvffei+3bt+PEiRPYs2cPGjRo4I/uBRUOyhMREREFqRCbghAL\nkzhZWTcRERERUVFkdQzvasMKO3fuBABERkZqy9aINGvWzG2b/A7KO51OXLx4EYqiIDY2FiEhwT+k\nHbx/8iIiIiIiIiIiIiIivzh06BAA4MYbb4Qtj7tvqlat6rGNUT///DOio6NRrlw5lC1bFpGRkWjR\nogVmzpyJ9PT0fNVdkIL/zwpERERERZQrkZOV9RMRERERkXmsjuFdbbgkJyfnWTY2Nla63sTERAAQ\nriWfU+nSpT22MSoxMRGhoaEoX748Ll++jKtXr2LTpk3YtGkTZs6ciSVLlqBatWr5aqMgcKY8ERER\nERERERERUSFUvXp1lCpVKtd/vkhLSwMAFCtWLM9ykZGR2uPU1FTfOw2gTZs2mD17Nv7991+kp6fj\nzJkzSElJwbZt29CrVy8AwJ49e3D33Xdr/QomnClfxNlCbbCH8m8zOcn+tVI2eaiebHJIj/ZMSngl\nW48+sas48ZJcwlb9c8LtBMdTn4xJ1HeZhFBGkz/JJnWSSpTr5wRRsgk5ZZIxiZOqGkskJZM0StQn\nj+0kk8jq65dNEKt/R0WJX0Xvu5mJP61MwitsjzOipbm+J2xqwX9/2hRrZ9nYFH4uiIJVICQkNJog\nM1gSCxpNSCtzXGSPnUwf/B1ni+Je8TWC+7ay2zlV9+ccqtyx0lclu523evLD6K+pXfD9LFOXaDvR\nd73+/CFMzioRe4uTuvr3GgEOz6dkzjGiPog+j8YT8wbHec6oQPgOCmRWx/CuNiyp9/9/h51exlly\nJiK32+2G2vroo4+E7Tdp0gSLFy/Gf/7zH3z44Yc4fPgwpk6dinHjxhlqp6AU7rMAERERERERERER\nURF17NgxJCYm5vrPF1FRUQCAa9eu5Vku5+uubcz2zjvvaMvofPPNN5a0YSXOlCciIiIKUlxTnoiI\niIgouPh7TfmYmBif1o3PS7ly5XDy5EkkJCTkWe7s2bNu21ghIiICbdu2xffff4/9+/fD6XTmmXw2\n0BTJQXmHw4G9e/di69at2Lp1q/ZB6dy5M5588kmv22dmZmLr1q3YtGkTTp8+jbNnz0JVVdxwww24\n44470LNnT7e1k/Kiqip+//13LFu2DKdOnUJ4eDhq1aqFvn37ok6dOvnaTyIiIiKiwuTy5cvYtm0b\ntm7dip07d2qzsN5//32p2PnChQv4448/sHfvXpw9exYXLlxA8eLFUatWLXTq1Al33HGHdF+SkpLw\n/fffY9u2bUhMTERcXByaN2+O3r17o0SJEob3kYiIiChQ1a1bF9u2bUN8fDzS09NzXVv+6NGjbttY\nxfXHBqfTibS0tKCKwYrcoPyIESMwf/58YQKAG264wev2EyZMwNtvv42rV68KX58+fTpKlSqFqVOn\n4sEHH8yzrtOnT+OBBx7AunXrPF579dVX8dRTT+Hdd981vPYSERERFW6cKU9FxalTp9CxY0ccOnQI\nqmAd6PHjx+e5vdPpRMOGDbF//37h9kB2/N2qVSvMmjULNWrUyLO+RYsW4dFHH/W45fvTTz/FCy+8\ngDlz5qBjx45e9oqIiIiKIn/PlDdT8+bNMWfOHGRlZWHr1q248847heXWr1+vPW7WrJklfQGA+Ph4\nAEBYWFhQDcgDRXBQft++fUhPT0eDBg3QtGlT3HrrrXjiiSektz9y5Ig2IN+qVSt07twZNWvWhKIo\n2Lp1K7744gskJibioYceQkpKCkaOHCms58qVK+jcuTP27duHkJAQPPLII2jTpg3S0tIwf/58/P77\n7/jggw9w7do1zJw505R9JyIiIgpEWVlZ+P3337F//36kpqaifPny6NChA2688UZL2tu+fTt27NiB\nc+fOITY2FtWrV0ebNm2k73Qk/0tNTcXBgwcRHR2Nxo0bo2nTpjhz5gzmzJkjtb3T6cS+ffsAACVL\nlkS3bt3QqlUrlCtXDpcuXcKSJUuwbNkyrF+/Hq1bt8amTZtQpUoVYV3Lly9Hv3794HA4UKVKFYwa\nNQrVqlXDoUOHMGPGDCQkJKB79+749ddf0bJlS9OOAREREVFB69mzJ0aNGgWn04n58+cLB+UdDge+\n/fZbAECTJk1QuXJlS/py9uxZ/PHHHwCsHfi3SpEblP/ss89QpUoVFC9eHACQnp7u06C8oijo378/\nXn75ZdSrV8/ttX79+uHJJ59E69atcerUKYwZMwY9evRApUqVPOp54403tAuDb7/9Fr1799ZeGzp0\nKB555BF8+eWX+OSTT9C/f3+0adPGyO56ZbMpAZX1uyAydIsyqEvR3cDgdOSdeVrbTPfXStXp2b5T\nmNVd/z55tmd0X5yCPujrEu2fqD1Hhmd6e/0+ivbPKdhOX86RKahbUJeq66uoPUeW5/44dDPnZA+n\n0e281ZMbu8Es6qJfL5m6ZLazh3ieR2yCDfWfY9HvvD3U8+4gfV22MM8yot8lxaHrp2A7p+B3yabL\ngy767bYZnHkg2mfP329Be6LtDPbBzPO+v8/bhs/ZFjD6GTBTYZgpv2zZMowYMQKnT592e15RFAwY\nMAAzZswwbQ3Mn376CWPGjMGRI0c8XitevDgGDx6Mjz76yJS2yFyVK1fG/v37cdNNN0H5/++gGTNm\nSA/KA9m3N48fPx7Dhw/3mEk1fPhwfPLJJ3j88cdx9uxZPPXUU1i8eLFHHVevXsUjjzwCh8OB2rVr\nY+PGjShdurT2+uDBg9G0aVOcPXsWw4YNw759+yy769VmU3w+D4liPisVRGxvFdH3j8z3qSiGFh0X\nme83YTwuEWfrY2NRe6I4W1yXbjtR7C/YLtMpir31P3tulyH4zMpsJxMuiMrIxuP+JIrXZX+19OVk\n6wrTnVtktwu1ScT6gnhcX04U94quEVRdOVFMLapLH//LxsYy5zSjcXZhOl8Giry+Iws6jg/mmfLl\ny5fHgAEDMH/+fHz11VcYMWIEbrvtNrcy77zzjjaD/dlnnxXWc/r0aWRmZsJmswkn4mRkZCAsLCzX\nfqSmpmLgwIHaUobDhw83uksFJnBGY/2kXr162oC8Ee+99x6+/vprjwF5l6pVq2Ly5MkAsgf8Fy1a\n5FHm8uXL2gVf79693QbkgeyL0OnTp2sXoBMmTDDcXyIiIqJA9f3336N79+44ffo0SpcujREjRuDF\nF19Eu3btoKoqFixYgE6dOuW6bKAvxo0bh549e+LIkSMoVaoUBg4ciHHjxuGFF15Ar169YLPZsGzZ\nMhP2iqxQvHhx1K1bVxuQ95XdbseRI0fwzDPP5Hpr82OPPYZ27doBAJYuXYrk5GSPMl999ZWWj2rq\n1KluA/IAUKlSJUyaNAkAcOjQIXz//feG+ktEREQUqN5++22ULVsWmZmZ6NChAz766CPs27cPW7du\nxZNPPolx48YByM7d2bdvX2Ed7du3R7Vq1dCwYUPh60OGDEHLli0xadIkLFmyBFu2bMGRI0ewdetW\nTJkyBQ0aNMDvv/8OAOjRowcGDRpkzc5aqMjNlM8vfeAt4grmAeDgwYMery9duhTp6ekAgGHDhgnr\nKF68OPr27YtPP/0Ua9euxaVLl6TaJiIioqIjmGfKnz9/HkOGDIGqqrjllluwZs0axMXFaa9/+eWX\nGDZsGP766y+MHz8eU6ZMMdzWjBkz8NZbbwHIjr2mTp2KqKgotzJXr17Vbn+lwkdRFJQqVcpruXbt\n2uG3335DVlYWjh49isaNG7u97hpkr1ChAu6++25hHX379sXIkSORlpaG77//Hv369cv/DhAREVGh\nEcwz5YHsOxiXL1+O3r174+TJk8IVSDp16oTvvvvO8ISK0NBQbNy4ERs3bsy1jKIoGDlyJN577z3D\n7RSkIjdT3h+uX7+e5+uuxK42mw2tWrXKtVzbtm0BZK+zumnTJtP6R0RERFTQJk+ejNTUVADAnDlz\n3Abkgezl/Pr06QMA+Pjjj3Hu3DlD7cTHx+OFF14AAPTq1Quff/65x4A8AERGRqJLly6G2qDCI684\n3uFwaBeGrVu3zvXir1ixYrjjjjsAAH/++af5nSQiIiIqYI0bN8aePXswdepUdOrUCXXr1kWjRo3Q\nt29fLFq0CCtXrkTJkiVz3b5ixYqoUqVKrjmkvvrqK2zbtg1vvvkmevfujebNm6NWrVpo2LAhunbt\nijfeeANHjhzBjBkzUKxYMat201KcKW+B1atXa4/r16/v8fr+/fsBZM+wyesDWqdOHbdtunXrZmIv\niYiIiAqOK/lT69atc71tddSoUVi4cCGuX7+OH3/8ESNGjPC5nY8++ghpaWmw2Wz44IMP8tVnKvxc\ncXxoaChq1arl9tqRI0eQkZEBAKhbt26e9dSpUwe//vorzp07h8TERKlZ+kRERETBpGTJkhg9ejRG\njx7t87a//vprnq8rioImTZqgSZMmRrsX8Dgob7L09HRtHcnw8HDce++9HmVcicwqVKiQZ10VK1b0\n2EZWUlJSrq/lXB9TsSt+Sygik8iwICgSubdEyZH0REm8pBI2CZNMeucUlhL002jyV90+G03qKirn\nyBAlqRIkf9KVE7Unk7BVJkGUqJxs0iiZZFMiZuWrlE/05D1Bk2wyWI/kT4LfEX0ZUV2iBLGiz5o9\nTJd4VaJM9nPuv5eiz5BM8tf8JOnTn2NlE1B51CM4njKJpIye4wv7OdsMgZCQy2bxra9WJcE6ePAg\nTp06BQDo0KFDruVatGiByMhIXL16FatXrzY0KD937lwA2XcgVq1a1VB/qWj45ZdfsHnzZgBAt27d\nPCbP5IzHfY3jfRmUl43jjSjoxHaB8N1i+DtCcOxkEufqk8cD4oStZpFJ6gp4JnYVxueCuvTlRAlc\njcbe1sfs+u08y4j4O/mrKPb2LCO3nUyiV3HMrnotI3ouw+n+uQpzepYJlYjjVclzhR36wFDwu2VR\nsm0XfTwuGx+adT7293nVX3F2YWd1DO9qgwIbB+VNNmbMGBw5cgQA8Mwzz7gF5C4pKSkA4DXhbM7X\nXdvI4mwcIiIiClT79u3THjdo0CDXcqGhoahduzZ27dql3WnoixMnTuDMmTMAgDvvvBNA9oDn8uXL\nceLECYSFhaFWrVq46667EB0d7XP9VHicP38ew4cPB5A9sWbixIkeZXLG44zjiYiIiCg/OChvos8/\n/xwff/wxAKBJkyZ4/fXXheUyMzMBACEheR/+0NBQ7bHrVlkiIiIiF38mevU2Qzc2Nla63hMnTmiP\nK1eunGfZypUrY9euXW7byNq9e7f2uG7dupgwYQImTJjgsW54VFQUxo4di3HjxsFmK/iZvORfGRkZ\n6NOnD+Lj4wEA7733nnB5GlcMDzCOJyIiIuOCPdErmYOD8ib5+eef8fjjjwMAqlatih9//NEtGM8p\nMjISly9f9poQ9tq1a9pjb7Nx9BITE3N9LTk5GdWrV/epPiIiIiravMUOqg+39+ecOSxKuppTiRIl\nAGTHRVlZWV4HQ3PKGQ9NmzYNGzduRFRUFPr06YNq1aohISEBP/74Iy5cuIBXXnkFR44cwezZs6Xr\np+DndDoxcOBArFu3DgDw+OOP44knnhCWjYyM1B4zjiciIiKi/OCgvAl+//139O3bF1lZWbjhhhuw\nevVq4bI1LjExMTh79mye60UC7jPSfL2l2pfZakRERBSc7IrFM+Ul1rU1IueAZVhYWJ5lw8PDtcfp\n6eleB/FzSk1N1R5v3LgRtWvXxpo1a9xm57/33nvo0aMH/vjjD8yZMwfdunVDnz59pNug4KWqKh59\n9FF8//33AIAHHngAM2bMyLV8TEyM9phxPBERERlldQzvaoMCG+/PzadNmzahR48eSE9PR1xcHNas\nWYOaNWvmuY3r9ZMnT+ZZLufrtWrVyn9niYiIiAw6duwYEhMTc/3ni4iICO2xt6U9cs5IzrmdjGLF\nirn9PGvWLI/lckqWLImvv/5aG/yfNm2aT21Q8Hr66afxxRdfAAB69eqF2bNn57l8Uc4Y/99//82z\nblccHxISwgTDREREROSBM+XzYefOnejSpQtSU1MRExODVatWoX79+l63a9iwIX7++WdcvnwZR48e\nRY0aNYTl/vrrL+1xXknQrGR1Jm8lSNZtFfVTdcpkHfdexib425hTsJ3qlF8WwK1+XfZ3h8NQNVAd\ncu07BeX024qOnSND9Jx7Zx1ZnmUyBMdF/5xMGdFzol12CJZnENXluZ1cXUaI/gJul/yjeJjur/Pi\nujz7qd9O/zMg3ucw3cc9TPCeyrALJtaqDs8+6D+PotkIos+2InsAdfS/b/mh6PpqE5yPZfopex4P\nlvOxiP6cYuZ3l+ow9hn1F3+uKR8TE2PaDN6SJUtqj70lwXS9HhERAbvdbridGjVqoHnz5sJy5cuX\nR/v27bF8+XJs2bIF6enpHgP6VLi89NJL2h9gunTpgm+//dbr0khly5ZFuXLlcO7cOezYsSPPsq44\nvk6dOl7vBjFKsdksj9Xzy8zvRdNInkdEMa2eTSLWF5WQif/zE3vLlNE/J/q+E8XnmbrvXKNxdvZz\nxrbTx9CiMqLjrt/OaHwu+dZIkfkVkY31ReX0nzRRzJ7h9HxOX072WInq9yR4d3R/nxfF+k5BrK/Y\ndLG+4MCIPv8ysZMozpaJx22ScZnM+buwn0MLkuIo2O9PrilPAGfKG7Zv3z506tQJly9fRokSJbBy\n5UrceuutUtt27dpVe7xs2bJcyy1fvhwAUKZMGdx+++356zARERFRgMg5c9iVXDM3rterVavmczs5\nt/F216Hr9aysLJw/f97ntih4TJw4EW+//TYAoF27dvjhhx+kB85dcfymTZtyvUPkxIkTOHDgAADg\nnnvuMaHHRERERFTYcFDegCNHjqBDhw64ePEiihcvjmXLlqFZs2bS2zdv3hy1a9cGAEyfPh3p6eke\nZbZv345ff/0VADBo0CCfZ4YRERFR4WdXFMv/WSHnnYW7d+/OtVxGRgYOHTrksY2sevXqacuReEtE\nm/P1vJYwoeA2depUjB8/HgDQqlUr/PTTTz7dFTF48GAA2csqTZ8+XVjm3XffhaqqUBQFgwYNyn+n\niYiIqFDxRwzPNeUDH684fBQfH4/27dsjISEBxYoVw08//YTWrVv7VIeiKJg0aRIA4OjRoxg0aJDb\nrdv79+9H3759oaoqYmJi8OKLL5q6D0REREQFqU6dOqhSpQoAYPXq1bmWW79+vZYUtmPHjj63U7x4\ncbRq1QoAcPjw4TzLul4PDw9H2bJlfW6LAt/nn3+OZ555BgDQrFkzLF++HMWLF/epjjZt2miz5d96\n6y3Mnz9fe83pdOKjjz7CzJkzAQAPPfRQgS1BSURERESBrcitKb9q1Sq3WS3OHGvirVq1Ct26ddN+\njoiIwMKFC922f+yxx7TETWXLlsWUKVMwZcqUXNtr1KgRJkyY4PH8vffei+effx7vvPMOFi1ahNWr\nV+O2225DWloatm/fDqfTibCwMHz//fcoU6aM4f0lIiKiwktRFNgsnAWjWFh3//798c4772Djxo3Y\nsWMHbrvtNo8yM2bMAJCdsLVXr16G2hk4cCDWrVuH48eP488//xROpoiPj8dvv/0GIHvQ1ao1wCl/\nnn32WRw8eFD7+cSJE26vxcTEaD/37NkTw4cP134+ffo0RowYod0RERoaigEDBuTZ3vPPPy/8vMyZ\nMwctWrTA4cOHMWjQILz66quoVq0aDh8+rF0nNG7cWPv8EhEREeVkdQzvaoMCW5EblD958mSu67jH\nx8e7rWsqmjmTlpbmVpcr8M6NaGkal0mTJqFBgwZ4/fXX8c8//2Dt2rUAsn9x7rrrLkydOhUNGzbM\ns36zmZUsyuqEgaIEK1ZyChIfmbePnnXLJH8Ste4UPKvqMrsK32OnseyvouSzoiRR+iQvoqQv+qSu\ngGdiV9nkT9cc+u08ihhOGiWTSEqU9MjaPDeC5EWSyZ/0+yNKziSTxFU+UZb33xuZ5K+ixEv6RE8A\noOg+C6rwwHhtLpc+SCZQ1ZUTJWzSJ3XNLue+nXCfJfpg9FwVCOdZWTL7KJecW1C34DgEevLXYPHs\ns89i5syZuHLlCh566CGsWbMGN9xwg/b6zJkzsXjxYgDAf/7zH+EkhU2bNmlxXb9+/YSzkocMGYL3\n3nsP//zzDx5++GGsXr0a1atX115PTExE//79kZGRnWXu+eefN3U/yTzr16/Hli1bhK9t2LDB7eea\nNWu6/Xzt2jW3yTjr16/32l5uS8+ULl0aW7duxQsvvIB58+bh6NGjOHr0KAAgOjoajzzyCN58801E\nRER4baOgWZ1E0Gji9ECgTxgpTLwqWGJUH+eKksEKv0V0obDw2AlCdv176JAM6/X7I0wGKxHTig6L\nTFJXUTmjiV4zJWNvfV1GY3aZZLCyZJaXsCuiWF8Us4u21T0heB+M/5qKNtQlXhX0U/irpDumiqCQ\n0chU5jwne64SJn/VxfGi2NHMPgQLK68kAj2JLJGsIjco37lzZ/z8889SZUNCPA/P22+/jUuXLkm3\n522W+8CBAzFw4ED8888/iI+PR3h4OGrWrIly5cpJt0FERERFk13Jz8W0XP1WiYuLw9y5c3Hvvfdi\n3759uOmmm3DvvfciNjYWW7ZswcaNGwFk5+J5/fXXhXVs2bIFEydOBADcfPPNwkH50NBQLFy4EHfe\neSeOHTuGm2++Gd26dUO1atWQkJCAn3/+GUlJSQCAV155Be3atbNojym/3n//fe298ibnH14AoEKF\nCtLXAC6iuzdcoqOjMXPmTLz//vs4cOAAEhMTERcXh3r16iE8PNyndoiIiKhosTqGd7VBga3IDcpX\nrlwZlStXNrx98+bNTezN/9SqVQu1atWypG4iIiKiQNSjRw+sXLkSjz76KE6cOIFZs2Zpr9ntdgwe\nPBgffPCBT4k4RW655RZs3rwZw4cPx4YNGzyWJ6xQoQLefvttPPTQQ/lqh6zVsmVLw9tGRka6LVNp\nlsjISDRu3Nj0eomIiIiocCtyg/JEREREFDg6duyIo0ePYsOGDdi3bx9SU1NRoUIFtGvXzm05G5EW\nLVrgzTffBACvS/7VrVsX69evx4EDB7BlyxZcuHABxYsXx80334zmzZsjNDTUtH0iIiIiIiLKCwfl\niYiIiIKUzaZ4rGVqdv3+YLPZ0Lp1a2FSzbw0bdoUTZs29WmbunXrom7duj5tQ0RERERkFqtjeFcb\nFNj8m8WNiIiIiIiIiIiIiKgI40x5cqM63NOxizKH+5stSPrgdHimsldsntupTplj7FmXTfc3NKeg\njCiVvUcWd8lM5fp9Vu2C7TKlqjKNQ/Xsg+g5o9tlOFVdGc+6BEfdoy7RduI+CCozQJzARfSkoEHF\nvZyoT/rjAgBhuo+teF88+yBzrMR9t47H7wiMn3dEdXmUEcxYELWnr0v2fCw678i0V9BEfRKdV/1N\n/70YaLKTRFn3O8MEUUTBy2biL7DM95tcPeZ9/5i5f06poEzu+0C/h07BPDiboC7V7j3WF31XOpwO\nqX7pmfWeFgT9kZGPvQs2ZhcRtef51sjF9TJxtehtt+fWuUJM/7skez0gmnmsP6+Jzk1S1wiS50ez\nzn1y5z05onjZ6DlGleiX7DEwcx/NZnUM72qDAlvgXZUTERERERERERERERVSnClPREREFKRsigKb\nhbNsrKybiIiIiKgosjqGd7VBgY0z5YmIiIiIiIiIiIiI/IQz5YmIiIiCVPZ6lNbWT0RERERE5rE6\nhne1QYGNg/KUJ3HCDu83WOiTmeZGJiGhKNFfICYpDASihCcOh/cyqkO0nfekKKKElaLPh02XJNYh\nSBAr7HuW+8+iRCjiLxpVV0ZuO8+cuJ7HQPTJM5ZeKzC+JGV+k8THT580Sm5njG4nk8xHnFRJl8RJ\n8JmVal+YnNW8vlP+krrKfud4rSfAk7oSEeVksyuWfMcYTc5nNImrqQlpJb7nVUECe5k+iBK25lbS\nrW7JuhRdv2yCMqrds++KLo6XicUBQHUqujJy1wh2RR9nexTJJXb0ntBUJj4HPBOait8+mfhfdL3j\nPamqmbkjZY6f7DGWqV/0eZQ57rLvjVzfPZ/TL7Mh+jzKPCf6/IuvWfXtCbYzGOuLtpM5Pxo9F4r2\nT3SeM6s9UfJUqTEiyThbf/xkEr/mJq995DUaBQIOyhMREREFKcWmCP9oZGb9RERERERkHqtjeFcb\nFNg43ZiIiIiIiIiIiIiIyE84U56IiIgoSNkUxeOWb7PrJyIiIiIi81gdw7vaoMDGmfJERER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jJxvWRiSY84XhTDZwric0E5fRwvKqNe94y99XG8KPZ2Zgjial08niXYThzH62N9z7he3J5uO0FS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gvIyzNomFZWJN2O5E+0RETIqoz67EhbqJNd3uSOP48OO0M6l9tBOFUvWwKzYyNNuJNE7RWR/t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\nG2+E3+/HKae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          }
        }
      ],
      "source": [
        "def make_field_plot(phi, theta, vals1, vals2):\n",
        "    n_plots = 2\n",
        "    fig, ax = plt.subplots(1, n_plots, tight_layout=True, figsize=(8, 3.8))\n",
        "    im1 = ax[0].pcolormesh(\n",
        "        phi * 180 / np.pi,\n",
        "        theta * 180 / np.pi,\n",
        "        np.real(vals1),\n",
        "        cmap=\"RdBu\",\n",
        "        shading=\"auto\",\n",
        "    )\n",
        "    im2 = ax[1].pcolormesh(\n",
        "        phi * 180 / np.pi,\n",
        "        theta * 180 / np.pi,\n",
        "        np.real(vals2),\n",
        "        cmap=\"RdBu\",\n",
        "        shading=\"auto\",\n",
        "    )\n",
        "    fig.colorbar(im1, ax=ax[0])\n",
        "    fig.colorbar(im2, ax=ax[1])\n",
        "    ax[0].set_title(\"Analytic\")\n",
        "    ax[1].set_title(\"Field projection\")\n",
        "    for _ax in ax:\n",
        "        _ax.set_xlabel(r\"$\\phi$ (deg)\")\n",
        "        _ax.set_ylabel(\"$\\\\theta$ (deg)\")\n",
        "\n",
        "\n",
        "# RMSE\n",
        "def rmse(array_ref, array_test):\n",
        "    error = array_test - array_ref\n",
        "    rmse = np.sqrt(np.mean(np.abs(error.flatten()) ** 2))\n",
        "    nrmse = rmse / np.abs(np.max(array_ref.flatten()) - np.min(array_ref.flatten()))\n",
        "    return nrmse\n",
        "\n",
        "\n",
        "# plot Etheta\n",
        "Etheta_analytic = analytic_field_data.Etheta.isel(f=0, r=0)\n",
        "Etheta_proj = projected_field_data.Etheta.isel(f=0, r=0)\n",
        "make_field_plot(phi_proj, theta_proj, Etheta_analytic, Etheta_proj)\n",
        "\n",
        "# print the normalized RMSE\n",
        "print(\n",
        "    f\"Normalized root mean squared error: {rmse(Etheta_analytic.values, Etheta_proj.values) * 100:.2f} %\"\n",
        ")\n",
        "\n",
        "plt.show();"
      ],
      "id": "d7f49da5"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We obtain good agreement to analytical results. Now let’s see if we can\n",
        "repeat this simulation but compute the far fields on the server, during\n",
        "the simulation run.\n",
        "\n",
        "### Server-side field projection <a name=\"farfieldserver1\"></a>\n",
        "\n",
        "All we have to do is provide the\n",
        "[FieldProjectionAngleMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjectionAngleMonitor.html)\n",
        "monitor as an input to the `Tidy3D` `Simulation` object as one of its\n",
        "`monitors`. Now, we no longer need to provide a separate near-field\n",
        "[FieldMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldMonitor.html) -\n",
        "the near fields will automatically be recorded based on the size and\n",
        "location of the\n",
        "[FieldProjectionAngleMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjectionAngleMonitor.html)."
      ],
      "id": "aa6eaa3e-6256-4369-b55b-85e6a65f8e7d"
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "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\">04:17:41 UTC </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </span>\n",
              "</pre>"
            ]
          }
        }
      ],
      "source": [
        "sim2 = td.Simulation(\n",
        "    size=sim_size,\n",
        "    center=[0, 0, 0],\n",
        "    grid_spec=td.GridSpec.uniform(dl=wavelength / min_cells_per_wvl),\n",
        "    structures=geometry,\n",
        "    sources=[source],\n",
        "    monitors=[\n",
        "        monitor_far\n",
        "    ],  # just provide the far field FieldProjectionAngleMonitor as the input monitor\n",
        "    run_time=run_time,\n",
        "    boundary_spec=boundary_spec,\n",
        ")"
      ],
      "id": "e9b3c379"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Run the new simulation."
      ],
      "id": "ac2ef921-5a6c-46d2-bcc1-8a0724f34ed8"
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'aperture_2'</span> with resource_id                         \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-c533e8c1-adeb-41f2-af85-d9c9d6da19bd'</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-c533e8c1-adeb-41f2-af85-d9c9d6da19bd\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-c533e8c1-ade</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-c533e8c1-adeb-41f2-af85-d9c9d6da19bd\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">b-41f2-af85-d9c9d6da19bd'</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\":\"1fdc28a801074f23a5d717ffd6c7fe01\",\"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\">04:17:43 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.042</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\">04:17:44 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"967cbb10c23e4dddb78a37b2d6590424\",\"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\">04:17:45 UTC </span>Loading results from data/aperture_2.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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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: 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": [
        "sim_data2 = web.run(sim2, task_name=\"aperture_2\", path=\"data/aperture_2.hdf5\", verbose=True)"
      ],
      "id": "ff099760"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Now the projected fields are already contained in the returned\n",
        "`sim_data2` object - all we have to do is access it as follows, and then\n",
        "plot and compare to analytical results as before."
      ],
      "id": "e586dfbf-07d8-4660-b956-b359e58b8604"
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Normalized root mean squared error: 4.55 %"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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aoioiIiKikiA5OVlbu7106dIoU6aMdN28sWRYWJjbxQ4ycnJykJSUhIiICI84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\nPq7H8Eocv2/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          }
        }
      ],
      "source": [
        "# extract the computed projected fields\n",
        "projected_field_data_server = sim_data2[monitor_far.name]\n",
        "\n",
        "# plot Etheta\n",
        "Etheta_proj_server = projected_field_data_server.Etheta.isel(f=0, r=0)\n",
        "make_field_plot(phi_proj, theta_proj, Etheta_analytic, Etheta_proj_server)\n",
        "\n",
        "# print the normalized RMSE\n",
        "print(\n",
        "    f\"Normalized root mean squared error: {rmse(Etheta_analytic.values, Etheta_proj_server.values) * 100:.2f} %\"\n",
        ")\n",
        "\n",
        "plt.show();"
      ],
      "id": "34f24328"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We obtain nearly identical results, except that they are computed much\n",
        "faster on our servers. Note also that in some cases, the server-side\n",
        "computations may be slightly more accurate than client-side ones,\n",
        "because on the server, the near fields are not downsampled at all.\n",
        "\n",
        "To see the performance gains of using server-side computations, let’s\n",
        "compare the time taken in each case."
      ],
      "id": "821071b3-fe5c-4e1d-8ccb-6757885c2d31"
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Client-side field projection took 0.31 s\n",
            "Server-side field projection took 0.02 s"
          ]
        }
      ],
      "source": [
        "# use the simulation log to find the time taken for server-side computations\n",
        "server_time = float(sim_data2.log.split(\"Field projection time (s):    \", 1)[1].split(\"\\n\", 1)[0])\n",
        "print(f\"Client-side field projection took {proj_time:.2f} s\")\n",
        "print(f\"Server-side field projection took {server_time:.2f} s\")"
      ],
      "id": "b98ada26"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "As expected, the server computes far fields faster than the local\n",
        "CPU-based computation, though it’s a relatively small gain in this case.\n",
        "The gains in computation time are expected to be greater for larger and\n",
        "more complex setups.\n",
        "\n",
        "### Downsampling the near fields to speed up projections <a name=\"farfieldserverdownsample\"></a>\n",
        "\n",
        "We can further speed up the server-side field projections by\n",
        "downsampling the near fields before projecting them to the far field.\n",
        "Typically, we should make sure that we are still sampling at least\n",
        "approximately 10 points per wavelength. Therefore, the downsampling\n",
        "feature is useful when the simulation resolution needs to be fairly high\n",
        "for the time stepping itself, but the projection step does not require\n",
        "such a high resolution.\n",
        "\n",
        "All we have to do is provide the\n",
        "[FieldProjectionAngleMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjectionAngleMonitor.html)\n",
        "monitor (or any of the other field projection monitors) with an\n",
        "additional argument, `interval_space`, which defines the spatial\n",
        "interval at which to downsample the near fields. For example, a spatial\n",
        "interval of 2 implies that every 2nd near field point is used in the\n",
        "projection, which in turn means that roughly half the near field points\n",
        "are dropped. Note that the first and last points in the original grid\n",
        "are always kept in the near fields. We can downsample by a different\n",
        "amount along each direction."
      ],
      "id": "a1b062c9-6540-44b5-a49c-69cda50e65ce"
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </span>\n",
              "</pre>"
            ]
          }
        }
      ],
      "source": [
        "# make an updated copy of the projection monitor, this time requesting downsampling\n",
        "monitor_far = monitor_far.copy(\n",
        "    update={\"interval_space\": (4, 1, 3)}\n",
        ")  # downsample by a factor of 4 along x, and 3 along y\n",
        "\n",
        "# update the simulation object with this new monitor\n",
        "sim2 = sim2.copy(update={\"monitors\": [monitor_far]})"
      ],
      "id": "94e6b41b"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Run the new simulation with downsampling"
      ],
      "id": "fb73456e-21f9-4ab2-819f-957ebb86bd4f"
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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\">04:17:46 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'aperture_2'</span> with resource_id                         \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-34256a0d-d4fa-4365-a4cf-567d4f36c42f'</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-34256a0d-d4fa-4365-a4cf-567d4f36c42f\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-34256a0d-d4f</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-34256a0d-d4fa-4365-a4cf-567d4f36c42f\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">a-4365-a4cf-567d4f36c42f'</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\":\"a0be95dac2744494bc47b4e2304c0c04\",\"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\">04:17:47 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.041</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\">04:17:48 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"b874877ec8874230ac70403eed206b18\",\"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\">04:17:49 UTC </span>Loading results from data/aperture_2.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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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: 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": [
        "sim_data2 = web.run(sim2, task_name=\"aperture_2\", path=\"data/aperture_2.hdf5\", verbose=True)"
      ],
      "id": "7000e28d"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Now let’s compare the downsampled projected fields to the analytical\n",
        "results"
      ],
      "id": "41a9c33a-a642-4c59-b546-63f47b3348aa"
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Normalized root mean squared error: 4.55 %"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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evHhxREVFSW+bM5YMCQlxmewgIysrCwkJCShWrJhbnGpGm862tIP9OeP02NhY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\njz1HOUfNy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T755BNs3bpVu+BeWlpaGt555x2cdNJJYdPr1q2LJ598EgMHDnR7uERERERE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\n8+ulpP1QpPu56rJPU0Wa6Eni5LGrvER7Pt7bQERVyOv1GCcDLbuR6Cb1M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cOG0J3y3bt3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W9HojjeMrHqeTSe2jnSiUqoZTsZFl2I5JnOKL19d1y6q4/Ug/C/eh5qR5Fe3kr1XF7Rg+2AfF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\nYxAIBHDCCSf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          }
        }
      ],
      "source": [
        "# extract the computed projected fields\n",
        "projected_field_data_server = sim_data2[monitor_far.name]\n",
        "\n",
        "# plot Etheta\n",
        "Etheta_proj_server = projected_field_data_server.Etheta.isel(f=0, r=0)\n",
        "make_field_plot(phi_proj, theta_proj, Etheta_analytic, Etheta_proj_server)\n",
        "\n",
        "# print the normalized RMSE\n",
        "print(\n",
        "    f\"Normalized root mean squared error: {rmse(Etheta_analytic.values, Etheta_proj_server.values) * 100:.2f} %\"\n",
        ")\n",
        "\n",
        "plt.show();"
      ],
      "id": "e46d8592"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The results are virtually unaffected even though we used just a fraction\n",
        "of the data in the projection! Let’s see how this changed the\n",
        "computation time, again compared to the client-side projection."
      ],
      "id": "93d90b60-136f-4e6a-a4bc-63d24fe0513e"
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Client-side field projection took 0.31 s\n",
            "Server-side field projection took 0.00 s"
          ]
        }
      ],
      "source": [
        "# use the simulation log to find the time taken for server-side computations\n",
        "server_time = float(sim_data2.log.split(\"Field projection time (s):    \", 1)[1].split(\"\\n\", 1)[0])\n",
        "print(f\"Client-side field projection took {proj_time:.2f} s\")\n",
        "print(f\"Server-side field projection took {server_time:.2f} s\")"
      ],
      "id": "9d48d1e1"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The server-side projections are now faster than when we used all the\n",
        "data. Note that this is a fairly small problem, so the speed-up is\n",
        "marginal, but will be much more significant for larger problems.\n",
        "\n",
        "### Spatial filtering of far fields via windowing of near fields <a name=\"spatialfiltering\"></a>\n",
        "\n",
        "For surface field projection monitors, it is assumed that near fields go\n",
        "to zero near the edges of the near field monitor. In case the near\n",
        "fields do not go to zero, they are truncated, which can result in\n",
        "high-frequency artifacts in the far field. To alleviate these issues, we\n",
        "can apply a spatial filter via a Gaussian windowing function by\n",
        "specifying the `window_size` field in the\n",
        "[FieldProjectionAngleMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjectionAngleMonitor.html)\n",
        "monitor (or any of the other field projection monitors). This defines\n",
        "the size of the transition region over which the window is applied\n",
        "relative to half the size of the monitor, along each tangential\n",
        "direction. For more details, see the documentation\n",
        "[here](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjectionAngleMonitor.html).\n",
        "\n",
        "In the following, the windowing feature is demonstrated by repeating the\n",
        "aperture example from above for a larger aperture size, but using the\n",
        "`window_size` field instead of a physical PEC plate with a hole, to\n",
        "achieve an equivalent “aperture”. The `window_size` field here was\n",
        "chosen based on trial and error."
      ],
      "id": "27ea4a64-7345-4f18-b3d0-2f799ab34fc5"
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "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\">04:17:50 UTC </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </span>\n",
              "</pre>"
            ]
          }
        }
      ],
      "source": [
        "# size of the new larger aperture\n",
        "new_aperture_width = width * 1.6\n",
        "new_aperture_height = height * 1.6\n",
        "\n",
        "# new projection monitor with windowing sizes chosen to approximate the physical aperture defined above\n",
        "window_size = (0.37, 0.37)\n",
        "new_monitor_far = monitor_far.copy(update={\"window_size\": window_size})\n",
        "\n",
        "# new simulation object without a physical aperture, but with windowing enabled in the projection monitor\n",
        "sim_window = sim.copy(\n",
        "    update={\n",
        "        \"monitors\": [new_monitor_far],\n",
        "        \"structures\": [],\n",
        "    }\n",
        ")"
      ],
      "id": "b064a0f8"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Run the new simulation"
      ],
      "id": "e3ffbd1a-bedf-4a5b-adc0-1b1e5e9dd1b2"
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'aperture_2'</span> with resource_id                         \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-c2695fec-af1b-4918-82ae-6e46229d813b'</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-c2695fec-af1b-4918-82ae-6e46229d813b\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-c2695fec-af1</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-c2695fec-af1b-4918-82ae-6e46229d813b\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">b-4918-82ae-6e46229d813b'</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\":\"1a4369a264b842e58554d3b7f70a73f4\",\"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\">04:17:51 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.028</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\">04:17:52 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"b86eee083e184d7681281dd9106c6e42\",\"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\">04:17:53 UTC </span>Loading results from data/aperture_2.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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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: 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": [
        "sim_data_window = web.run(\n",
        "    sim_window, task_name=\"aperture_2\", path=\"data/aperture_2.hdf5\", verbose=True\n",
        ")"
      ],
      "id": "d8eaaef1"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Plotting the results, we notice the excellent agreement between the\n",
        "analytical results for the aperture, and the projected fields resulting\n",
        "from windowing the near fields by an amount equivalent to an aperture of\n",
        "the given size."
      ],
      "id": "e72c9bf8-1a6c-4f15-8763-c57d5aff6b2e"
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Normalized root mean squared error: 3.02 %"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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WSQ0N0uOPWyffcYdksw3/oi6/XBo3rquuqZH+/Gf5+/tryZIllqn0sQcAAHff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\nmeq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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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MgQffTRR0HLDhw4oDFjxqhevXo69thjnW4yAAAAKoFNmzZpxowZWr58uX788UelpPxvytvmzZtr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\n8oveeOMNHXDAAQoGg3r22Wc1Z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hk8mwfft2vPzyy0Y6eyIDteRfAohak+PHj4vXX39dtG/fXvoLbd0fOzs7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\nAElFTkSuQmCC\n"
          }
        }
      ],
      "source": [
        "projected_data_window = sim_data_window[new_monitor_far.name]\n",
        "\n",
        "# compute the analytic fields associated with the new window\n",
        "analytic_field_data = analytic_fields_aperture(\n",
        "    new_monitor_far, sim_size, new_aperture_height, new_aperture_width, r_proj\n",
        ")\n",
        "\n",
        "# plot the field distributions as before, in 2D and for a 1D slice at phi = pi / 2\n",
        "Etheta_analytic = analytic_field_data.Etheta.isel(f=0, r=0)\n",
        "Etheta_proj = projected_data_window.Etheta.isel(f=0, r=0)\n",
        "\n",
        "fig, ax = plt.subplots(1, 1, tight_layout=True, figsize=(8, 3.8))\n",
        "im1 = ax.plot(\n",
        "    Etheta_analytic.theta * 180 / np.pi,\n",
        "    np.real(Etheta_analytic.sel(phi=np.pi / 2, method=\"nearest\")),\n",
        "    \"-k\",\n",
        "    label=\"Analytic\",\n",
        ")\n",
        "im2 = ax.plot(\n",
        "    Etheta_proj.theta * 180 / np.pi,\n",
        "    np.real(Etheta_proj.sel(phi=np.pi / 2, method=\"nearest\")),\n",
        "    \"-r\",\n",
        "    label=\"Projection\",\n",
        ")\n",
        "ax.legend()\n",
        "\n",
        "make_field_plot(phi_proj, theta_proj, Etheta_analytic, Etheta_proj)\n",
        "\n",
        "# print the normalized RMSE\n",
        "print(\n",
        "    f\"Normalized root mean squared error: {rmse(Etheta_analytic.values, Etheta_proj.values) * 100:.2f} %\"\n",
        ")\n",
        "\n",
        "plt.show();"
      ],
      "id": "d55c3bd7"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Other far field quantities and coordinate systems <a name=\"powercoords\"></a>\n",
        "\n",
        "So far, we’ve been looking at the electric field in spherical\n",
        "coordinates. However, we can also look at the fields in other coordinate\n",
        "systems, e.g., `E_x`, `E_y`, `E_z`, and the radiated power, as follows:"
      ],
      "id": "ce8ee446-ef4d-4ae9-9157-6ce8972b1307"
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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kSj5GYXzS7TGxqo3+85//SJIGDx4s3/e111576emnn3bivvvd7+rGG2/U1ltv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\n3Fwrn2ecY632RjzSIrc3XEV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Lam3d1YdcEFF2DmzJkoKysT33Xt2rXB8lOmTMFdd92F8vJy9fuHHnoIubm5mDp1Kk47\n7bR66/rjjz8wceLEhKcSVPv73/+OK6+8Evfee+82+55JIiIi2jZsy78INwwD119/PS699FJ88803\neOSRR3DppZcm5Hnqqafw2WefAQCuvfZadWy1fPly5OXlAQCGDBkCv9+f9Okkq60zZszAJZdcUtPW\nefPmJTx2l7Ytd9xxB+677z4UFhaK70pLSxssP2PGDFxxxRVqeQB4/PHHcdlll+Fvf/sbrr/++nov\nPBQXF+Pcc8/FrFmzxHd33nkn/vrXv+K///0vtzciIiJKqW05PiHa1j3zzDO49tprsXnzZvGdm5uh\nPvzwQ5xyyinYtGlTnXmuvPJKXHrppbj77rsRCATqzBeLxXDNNdfg4Ycfhm3bCd/df//9OOSQQzBz\n5kx069atwXYRERERNUdLPrFqW7HHHnsgKysLxcXF+PTTT3Httdeq+datW4fVq1cDAEaOHNmSTUyq\ndndj1bJlyxAOhzFw4EAMHz4ce++9t7igVZ8VK1bU3FR1wAEHYMyYMdh1111hGAYWL16MJ554Avn5\n+Tj99NNRUlKCiy++WK2nuLgYY8aMwbJly+D1enHuuedi1KhRKCsrw8yZM/Hhhx/igQceQEVFBR57\n7LGkzDsRERHR9uj888/Hiy++iIULF+Lyyy/H999/j/Hjx8MwDLz55pv497//DaDqiVGXX365WseN\nN96I2bNnAwDWrl2LHj16pGQ6za1jzpw5OPvss2HbNnJzc/GPf/wDP//8c53Lxu/3Y8iQIfUsPWpt\ny5cvR1FREfr27YsRI0Zg+PDhuP3222tu9GvImjVram6qGjx4MMaOHYvdd98dwWAQ33//Pf773/9i\nw4YNmDx5MjZt2oR//etfaj2xWAx/+ctf8N577wEATjrpJBx77LGwbRuvv/46Zs+ejRdffBFFRUV4\n8803+eMPIiIiIqLt0OrVq7F582bstNNOGD58OIYPH46nn34ay5Ytc1V+06ZNNTdV7brrrjj22GOx\n1157ITMzEytWrMD06dOxfPlyTJ06FStXrsRrr71W548/LrroIkyfPh0AMHr0aEycOBGhUAgffvgh\nnnzySXz44Yc48sgj8cknn/DHH0REREQtzO/3Y+zYsXj++ecxb9485OXloWPHjiLfs88+W/P/CSec\n0JJNTCrDdt7qv5378ccfsfPOOyM9PR0AEA6HEQqFAADnnHNOzUC9LmeddRbC4TBuvfVW7LHHHuL7\nVatW4cADD8S6desQDAaxfPly9cLctddei/vvvx8AMHv27ISNyLZtnHvuuXjyyScBAAsWLMCoUaOa\nNsOKgoIC5ObmVrV37R/IqfVakLglN4eYkha1Gs4TibtLK4/GRVpJJCbSSiMyX1E4MV9RZVTkyS+N\niLQ8JS2/rFKkFZbL+kqVtJhjHixlPi1lGXk8pkjz+mVaWsgn0nbICoq0Hh1CCZ975spXAnVXyu2c\nI9Nyg/K+y9yQvIDmKd0q0yoKEj4bFcUij1UhnxoHy5JpplweZihdpNmhLFldMDvhczxdduYlMRm4\nlyjbWmlEts25/QFAZVyZB0XAse6zleWdoWwLmX65DrI8sr1mmbwYa5YXyoY40qwyua6as16QLl87\nZIWyZVpaYr6wJyTylFQq68XZGQEoU9ZVVJkHSzn8BRwXidOVdZDhk2nZQbleApVFIs1TLH+tZ29d\nJ9KiG1YlfK5c/4fIU/rHFpFWsblApIUL5RMWI6WyH4srfbGTqdwx7w3Jbdef7pdpWXKdBnLkSa9A\nToZM6yDz+XJyEtuWKbc1M12WMzNylHyy/7C9sl+0ffJXlM58tkf21/DK5WGbfy63goJCdOtV9X7r\n/Pz8pL47uz61xwM3v7oYoUy5byZTRUkR7hg/HEBq5jM/Px8TJ07E/Pnz1e8PPvhgvPjii9hhhx3U\n70888cQGb6xKxnSaW8ell16KRx99tM66nbp06YKNGze6zk8tb/ny5ejcuTNyavVrPXr0wB9//IFR\no0ZhwYIF9ZafMmUKPvroI/zjH//AvvvuK77Pz8/HYYcdhq+//hoAsGjRIvWXQY8//jguuugiAMA/\n//nPmldNVrvzzjtx8803AwCmT5+Oc845pzGzWa/a/dEf69cnrX8wkhnq2u7GeHo7ml62qWxDjlcE\nJY8FeazXxkxKuJPUWDLqOr6Uy1aLL8uVMaMzn17OXVqpEhdUKDFFiZbPUV9pWI7TypW6IjE5T9o0\n40o+S1luWrzq3HSTffpIu4iqbbrOMaipxNEer0wLKbGTX8mXpuTLCMoxXciXmC9TieG0aWYo+dJ8\nMl9T09KU+EQr51eWm98j14FPG/Mrac7Janm0X9wqk4SpbAsmlO3NRX/aGn1uXZraFzdvms3/lXNB\nQQG677gjAMYnRO3RmjVrEAwGE+LRgw8+GB999BG6d++OdevkeazaXnjhBfzzn//ElClTcNRRR4nj\nfTgcxoQJE/Dmm28CqLrQduqpp4p63n//fRx22GEAqt5C8vjjjyd8/9JLL+Gvf/0rAGDy5MmuXqHu\nVu3+aK/rZsEb4k1bqWAr48+m0say6jRdjmedwwl9rOy2LiWeUsbjWj7ndLX2q/XHZNxhWzJWUNPi\nDedzXZfLNI3lMl9rMM2Gf2hmKHmSnqb84M2ZTyvn8cr4xFDG7Vq8pl0f0Mo6r32q9bt8Oo8+TVdF\nXb0uVqu/OdzOF7kXqyjBt/dOANDy4/aWjFG21fhk6dKlGDZsGGzbxplnnomnnnoq4fs1a9Zg8ODB\nKCgowH777YdPP/1U1FFcXFzztNQuXbq4vmH+wgsvxLRp0wAAJSUlyMiQ1xeTqd09sUq7Gaox7rvv\nPvVOu2q9evXCP//5T0ycOBHhcBizZ8/GFVdckZCnqKio5oLYCSecIO7MMwwDDz30EF599VUUFBRg\nypQpSb2xioiIiGh7k5ubi3nz5mH+/Pl49dVXsXLlSti2jV69euH444/H2LFj6w2m+/XrhxEjRgBA\nva8iaO50mltH7969a9rpRn3jVmob+vbt26zyF110EW655ZY6v8/NzcW0adMwfHhVYD5z5kxxY5Vt\n27jzzjsBAHvttZf62ObJkyfjueeew7Jly3DHHXck9cYqIiIiIiJqG3baaadmlR8zZgxOOukkmMqP\nMgEgGAziiSeeQI8ePRCNRuu8sWrKlCkAgE6dOqlP3T3ppJPw7LPPYs6cOXjooYdw00038alVRERE\nRC1s6NChuOSSS/DII4/gf//7H4qLi3HppZeiU6dO+PLLL/H3v/8dBQUFSEtLwyOPPKLW8dxzz9X8\n4Pepp57CmWeeqeZbuXIlrFoP0iguLk74Li3tzwfO7LDDDsjKkg9VaI52d2NVc7m5OHXooYfW/K+9\nmuXNN99EOBwGgDovSKSnp+Okk07CtGnTsGDBgjofnUZERETUXKl+P3j1NFrCmDFjMGbMmEaXq76p\nJNXTaW4d11xzDa655ppmTZe2L25ihGHDhiEzMxMlJSVqfLJ48WKsXbsWAHD22WfX8atEE2eeeSau\nu+46/P7771i6dCmGDh3a/BkgIiIictie4hOi9sbN0xV22GEHDBgwAN98840an2zevBkff/wxAOCU\nU05JuEhW29lnn405c+agvLwcc+fOrXmCFREREVGypTpG2Zbjk6lTp6KiogJPPPEEXnnlFbzyyisJ\n33fs2BEzZ87E3nvv3azpDBo0CGVlyhuxUPVj4dr++9//4txzz23W9Jx4Y1UKVFbKV8rVVh0UmKaJ\nAw44oM58Bx98MKZNm4ZYLIZFixbhmGOOSWo7iYiIiIho+2fbNiIR+SrsatXxCQAcdNBBdeY7+OCD\na/5fuHAhb6wiIiIiIqImqe8ayqefflrzNIL64pNRo0bBMAzYto2FCxfyxioiIiKiVuDxeDB9+nSc\nccYZmDFjBn744QeUlJSgW7duGD16NM4+++yE10w7ZWdnY5dddgGAep8ytcsuu9R5Y5VWZ7LxxqoU\nePfdd2v+HzBggPj+xx9/BADsuOOO9W4cu+22W0IZ3lhFRERERESN9fHHH9dcuKgvPgGA3Xffvc56\nan9XuwwREREREZFba9euxS+//AKg4fikf//+ddbToUMHdO7cGZs3b2Z8QkRERNTKDjzwQBx44IGN\nLnfKKafglFNOaTDft99+25RmJQ1vrEqycDiMu+++GwAQCAQwfvx4keePP/4AUHVjVX26d+8uyrhV\nUFBQ53eFhYU1/wfD+QhV/PkuSmjvPvf4RZLt9To+B0SemC2rqozLxIqonGZOTG6aZdG4SMv3RxM+\nB8r1d7eLaUZkXUUVsmwkZsm0cEykhcsSnwAQqZT1x5T2azwe2Y5guk+klZTIX/VURBLbpj02MNPv\nEWmRmFx/2hMHzWhYpHkq5LZmb03cXqNb5PZrlSjbaCwq07xy3s1M+Uhpb+fuMl8nR7v88rHRpinT\nIsp2WlAh27a1XD75oVTZtuK2rC/Nl7geyqNyPnfMkusl5NX2UZlkxJRffZXmiaTY1o0Jn63SQlku\npjzhwiv7BTMjR2YzZeOMQLqsz5M4/+VRue8VKPvV+mI5n3nKeil3uf8510vHNDmf2nrxeuQO4/cG\nXU3TKi8RabH8LQmfS9ZsEnmKft8o0ko2lIq0cIHcbyNlcnu2le3ecMyXX+mLgh3kfBpKP+ZX7iM2\nfbKv92fJ7cOvvObKzEm8u93TobNsR1YnkWYr21/ML9O0/sL2hWRZx2KLWXI5KptzQr9QCLmdtTSz\nBV61YW7Dj7Il2tbdfvvtNf9rQWp1rJGbm4tgsO7jV0ZGRs0rBVMVnxhWHIZV/3HbsJWOVeMmnzJO\nc1Wurna4mqbL9jeD2uMaicdn25THYY8hj+EeZTzn8cgxQcxlN28hcZkrQxCVtqqiSuGwEsNpY8HS\nysTYqUQZxxeH5ZipVIkHC8uVfJVaPiV+cNQXUdoRdRlfxuNy3mNKfZay3OLKcrMd4xpLWwnNYCqv\nHTWU8YLHEQOZytjbq8S5pcqY1BeQ+bw+mRYKyv0j5JhGjhIrZARkuZw0ub9kKPVHgzKfpYwtnbQh\nlk85t+NTQkltlSqrBcqihNcxYZ+2XpTGmXEl7o8r/b7SVxqW3K+S2u8qfWBz8hnOfrc59WsrxsU0\nNQ21o6HjcEtgfEK0fbv99ttrnkg1ceJE8X3tWMPNNZTNmzenLD5x0sYq1DTasnSOP91yeYSFpYVw\nSRzjau3XxuhNzRePybGQrRy3raiMO9R8ynl/LV/ckU/Lo6YpYzwtnybZ+dwwlNi3qfm0PIZHSdPy\naTG4cj1Gy2c68ml5bMtdXR6vjFlsW4nXlD0wDqvBPJrm9LGGMl52M95r1jR5TEiZph4PUinVMQrj\nk7aPN1Yl2TXXXIMVK1YAAK6++uqEm6OqlZRUXURPT1duLqil9vfVZdzKzc1tVH4iIiIiItr+PPDA\nA/jwww8BABMmTMCIESNEHrfxSXWekpISxidERERERNRob7zxBp588kkAwD777IOTTz5Z5Kkda7i9\nhsL4hIiIiIhSiTdWJdH06dPx73//G0BVUFD7l+G1RaNVv87zKnf71ubz/flrxUhEeWIMERERURJ4\nWuAX4amun4ik9957D9dffz0AoGfPnnj88cfVfG7jE+DPGIXxCREREaUK4xOi7dOyZctw2mmnwbZt\nZGRk4LnnnoOpPGWxOj4B3F9DYXxCREREqZTqGIXxSdvHG6uSZM6cObjooosAAL169cJrr72WcGNU\nbWlpaSgqKkJlpfKqrloqKipq/nfz6/Ha8vPz6/yusLAQffr0aVR9RERERES07Vi6dClOOOEExGIx\n5OTkYM6cOXX+Kjstrer1pw3FJ8CfMQrjEyIiIiIicmvNmjU48sgjUVxcDJ/Ph1mzZqFv375q3ur4\nBKiKUUKhUJ31Mj4hIiIiopbAG6uS4MMPP8RJJ52EWCyGrl274t1331VfAVgtJycHGzZsqPc93kDi\nu7yzs7Mb1aYOHTo0Kj8RERG1Xx6jBX4RrrznnohS46effsKRRx6JkpISpKen46233sJee+1VZ/6c\nnBwAifGHxrZtFBcXA2B8QkRERKnD+IRo+7Jp0yYcdthhWLduHUzTxLPPPosjjzyyzvzV8QkAFBQU\n1HtjVXUMw/iEiIiIUinVMQrjk7ZPPmeVGmXRokU47rjjEA6H0alTJ7z33nvYdddd6y1T/f2aNWvq\nzVf7+7p+vUFERERERFTtt99+w2GHHYatW7ciGAzi9ddfx3777Vdvmer4pLy8HFu2bKkz38aNG2te\nscH4hIiIiIiIGpKfn4/DDz8cy5cvh2EYmD59Ok466aR6y9S+vrJ69ep6865duxYA4xMiIiIiSi0+\nsaoZvv76axx11FEoLS1FTk4O3nnnHQwYMKDBcoMGDcKcOXNQVFSE3377Dbvssouab8mSJTX/Dxw4\nMGntrs1TuhUeT633j5sekcf2KJuJ6XXk8cssvoBI8/nlI3kDQVnWH7VkW13cBlgZk+VKI3Ke/F5Z\nWdySZSORuJxGRVSklZcmvsM9XCbf6R6rKBVptiXrN31yeYTL5XKLRWXZTY75yk6Tde2YI3/hE1Xm\nXbsx1oiFZVplmWxb3obEz1v+EHnCeUUiLR6Wy82jbB+hzko7vPLVm74sx+tubDmfccuWbVO2o63l\nsm0bSuXrcvJLZT5tGtlpie21tDxBue91CMjtWZsvIyqXUbykUKY51lUkTz4GOx6R27zHL5e3v2OF\nSDMCQVk2s6NIc4oqy6OkMibSNiv72sYSOe/aetFkOJa51o6g0n9k+GRah5C2rmR9VoXch5z7R9nG\nPJGnaHWxSCteJ9MKyuT6q4jLbUYTcnS8WaWyLo1P2XbjOXL9GUrHru3zRlqWzNehc2Ke7B1EHist\nR6aFZFrcK7fTCqUfiFQqafHEdaptM3FlvddeBUUVsj9vaal+P3j1NIgotdauXYvRo0dj/fr18Pv9\nePnllzF69OgGyw0aNKjm/6+++gpjxoxR87VEfGJYcRhWrWOG0oeqtPGQM03J4zpNGy+7rs/FPGjl\nFNo0bcPl76Uc+Ywmxn4AYCpxjM8r4z94ZN/vXBrasMQ0XK53hXIoRlSZiPOYHY7JeapQ4sHCcjke\nKlJixJKwkk8pG3WMcSOVcprOPIAeD8Yicj61fHFlnGMpyygeS5yuFr82h7YNerzK9uYYM3qU8bjX\nJ+vy+mW+WFTm8wXkNLXlEYk1fApNi/002rhIO0+hxR7O7dmy5Txp40+NFvdrv5L1Ke31OfZvn3YO\nQYlLjbgSm1lKrBCXadC2QUe/qPbNLjW1P61K0xaAWf9nADC1upqeps6Ds/+Hshxrtd9I8r7eFIxP\niLYPxcXFGDNmDL7//nsAwCOPPIKzzjqrwXLO+GTfffdV8/30008oK6s6r5ay+MQ0YLRyf2G2pydY\nOMYXltt4UGG7HJclk9ZerR3atQAtn3M8bsXkOMqOy+O2lk9Li2v1KeMAKxppOI9alxK/KmXdxhlW\nK4xRTCVm0ThjGy3WMZRxn+lVzoVrsboy72o85cin1e/2uqRGi9csJX53zqllyjwetHzfpvXnbvv4\ndtUXOzSnL26q2uultY/D1VIdozA+afv4xKomWrZsGY444ggUFRUhMzMT8+bNw9577+2q7NFHH13z\n/1tvvVVnvrlz5wIAOnfujGHDhjWvwUREREREtN3auHEjRo8ejdWrV8Pr9eL555/H2LFjXZU98sgj\nYf7fCT438YnH46n31R1ERERERNS+lZWV4eijj675ccb999+Piy++2FXZkSNHIje36gezbuITAK5j\nHyIiIiKipuCNVU2wYsWKmtdrpKen46233sKIESNcl993333Rr18/AMBDDz2EcFj+gm/p0qV4//33\nAQCTJk2Cx+PurmgiIiKixvIYRov8EVFq5OXl4bDDDsPy5cthmiaeeeYZnHDCCa7Ld+3aFUcccQQA\nYMaMGdi4caPIs379esycORNA1Q9FOnXqlJzGExERETkwPiHatlVWVmLcuHH49NNPAQB33HEHrr76\natflvV4vJk6cCACYP38+vv32W5GnvLwcjzzyCABgjz32wD777JOElhMRERHpGJ8Qb6xqpOrXa2zc\nuBHBYBBvvPEGDjzwwEbVYRgG7r77bgDAb7/9hkmTJqGkpKTm+x9//BEnnXQSbNtGTk4ObrzxxqTO\nAxERERERbR+qX6+xbNkyGIaBJ598EieffHKj67nzzjvh9XpRVFSEE044IeHmqvXr12P8+PEoKSmB\n1+vFHXfckcxZICIiIiKi7UQsFsOECRPw3nvvAQD+9re/4aabbmp0PbfccguysrJgWRZOPPFE/PLL\nLzXfFRUVYeLEiVi1ahUA4O6774bBi5FERERElELyZajbuXfeeQcPPfRQzWer1jt+33nnHRxzzDE1\nn0OhEGbNmpVQ/sILL8SaNWsAADvssAP+9a9/4V//+led0xs8eDCmTJki0sePH48bbrgB99xzD2bP\nno13330XQ4YMQVlZGZYuXQrLsuD3+/Hyyy+jc+fOTZ5fIiIiooYYhpHy98TzJCeR7vvvvxc/pMjL\ny6v5rnZ8AgDPPvsscnJyaj7feuutWLp0KQCgY8eOmDVrlohhauvSpQueeOIJkb733nvj0UcfxYUX\nXohFixahV69eNb/6/vLLLxGJRGAYBqZNm4aBAwc2aV6JiIiI3GB8QtR68vLycMYZZySkff/99zXf\nOeOTf/7zn9hjjz1qPj/22GOYM2cOgKrrK0uXLhVlnN54442aV5NX69KlC1566SUcd9xxWLFiBQYM\nGIChQ4fW1FlaWgoAuPnmm3Hsscc2bWaJiIiIXEp1jML4pO1rdzdWrVmzps73cq9duxZr166t+Zye\nni7ylJWVJdRVfZNVXbTX/FW7++67MXDgQNx+++1Yvnw5FixYAKBqxznkkEMwdepUDBo0qN76m62i\nBPDX+mzKVw46gxoAgDeQ8NH2+EQW20oTabVvZKvmC2aKtIDXL9IicVuWdbTN55Ft1R6dF7dkXZGY\nbFssGhdp0UqZFqmIJn4uyZd5yotEmm3Jukxl3q1oRKR5ffL1K5UZsYTPFZGYyBNV1oFly+WhPc7O\niMl22OEykWaVlyR8riwoEXkqC0pluahsrzeubDPpcr/yxKIizck2ZZcXicl5L1HWcVGlbNuW4kqR\nllcql1FcWb7ObTDdL9tWrmx/ym4AKPUbcbk87LJikRYrTkyryJPbaTws58kTlNupoex/ZmahSPNG\nKkQaHO01IetXNgVUxpR1VS7nPa9MWS9KP1Dp6AcygnK9lERk25TuQ93eVMp+FS1L3MYrlW2tokDu\nB1uV7W+Lsj2XKg3W+sqQJzGfti17lHYEsgIiTdu/bWWlatuR4ZXHGCMQSqzLHxJ57ECGSIt7gyKt\nLCrbUaEso0qlv3Aem7Q+NqrsuLWXZUlEriMiaj/y8vLqjE/y8/PFd874onZ8snXr1jrrqrbzzjvX\n+d3555+PPn364Prrr8fXX39d8+oOABgyZAjuvfdeHHroofXW32xWvOrv/xi2dpBtYprSR7uuXxm3\nN7ltSh61LqW9GvW0ixLD2YYjTRurxJU0JdZT51Ph8ypjAjOxxR5TGV9Ycq60fNoJLVNZIE098aWN\nF5tT1lbSLEeapYxB4mqarEuLX7U0rT5LGZM641AtftXSNIZyrkFLsy051nbGyLYyJtWnqWxHHmUd\naMvDp+xDjnWV7O3DLef2rG3zznMlAKAMs+HTlpGSz6NMw+soa0RlXGDEtDS5rTnjQQAw4ko+N/2n\ny75T0+T+FND7VGc+tZzcD7R8+jSV2EnL56IdCfW73K+JaPtUUVFRZ0wRDofFd5MnT074XDs+qa+u\n2izLUq9BjBkzBl988QWuuuoqfPTRR1i8eHHNd/369cPtt9/epKf1JluqbwTVaOOctjxNbRzshuny\nsG65fDePlk0dOjhjj6YPL1TaeNYZFwByrG3H5TFaHccraXGX+dxMw1KuxWhxgTZNrX63MYWbfM2J\nTzSWy3zO+gyPLOdRrv3ZygZoKufC1Wkq03BDuwaprhdT2RYsLa7T9u/k9VHq8FY7F6D0Uc5+S+vH\n3PbhzekDm1q2qX1nc2jTbInjnHadmqitaXc3Vo0ZM6bmFxMN8Xrl4rnrrrtqfkHuRkNPmzr11FNx\n6qmnYvny5Vi7di0CgQB23XVXdOnSxfU0iIiIiJrDY+gXzJI9DSKSBg4c6Do+AYAOHTokfL788ssx\nbtw41+XT0uSPH2o77LDD8NVXX2HNmjX4/fffAQC9e/fGTjvt5HoaRERERM3B+ISo9XTq1KlR8cmA\nAQMSPk+YMAF77rlno6bpqefmgMGDB+PDDz/Epk2bsGLFClRWVqJnz57o27dvo6ZBRERE1BypjlEY\nn7R97e7Gqp49e6Jnz55NLr/vvvsmsTV/6tu3L4MBIiIiIqJ2pmPHjg2+GqM+gwYNSslTbnfaaSfe\nTEVERERE1M4Eg8FmxSe77LILdtlllyS2qEqXLl34Y3QiIiIiajUuH5BJRERERERERERERERERERE\nRETUfrS7J1YRERERUSLTNNT30Cd7GkRERERERA1hfEJERERERG1JqmMUxidtH59YRURERERERERE\nRERERERERERE5MAnVrVzdiQMu9L3Z4Kp3Gvn84skcc+koZSzYrKcbck22LZI05qhsZBYNm7JusIx\nOc2IklYeiYu0aKVMi1TK+YqGyx2fS0WeeGWFSLMtWb9Gy2cr8+rkURakT0kLeDwizavdGau1Ixp1\nlc/J8Mh2mEqX5PEpaUG5TZqhdNk2b8BZmcgTjcjlWBmX20elss1UKNtMRCmrcW6DlrIfJJttybZZ\n0cTt2YrI7TsWjriqP1ZRKdL84TLZjspykWbEwgmfvZ6AyBP0Ktuzsh15lG1XS9P6C2ea1ldElXUc\nVeqyZE8JGEqaV+ljHfNlK9OMR5XtT2lHRVzpF9X+Q1kedmJ7Q8ryzlb6yVhY245kmnP7A/Rt0BXl\nOGQraXFlX4spy0NL09Zz1LFfacccrf+o3Y4KZV22NI8BeLTtM8nTICJqiGHHYNSOI5T4QU1Txjki\n9lDLyT5Yi1m02Earz4hr+RzHD62c2/l0S4vPnGmm0laPcorAbTvUacrO3+cY58WUcVrMkMdc7Tjl\nUw4uWryjjRl9jukGvTImCvllmjY+1GKASMxd2bijrFeZphYraHG0bcmy7skxqaxfiQfj7sYxhhJz\nGqZMM5WxsccRB3h9SvyqpikxpxJTaMtcqy/gyJemlNO2Gbf5tG3QuZ0CcnvWt3klJlL2IW18pk1T\nOz9gxhPPBRhxGTcaMS1Nxo3Qymr9qZs+O9l9p7aJm0pfacj22o4+1dDqt2VdWhyj7S+w3cVA4iSb\n0v7ay9GwmxiTJRHjEyJqK0zDgJnC/shI4tMpkllX0p+aodRnubi+oc2Tdl3E1EI4l9eYtGxxx/lU\nbXlo55a3B/q1qHij8wB6rOC6rMu0pnJblzYGU8dlbqZpur0eqIzxtHGwEmNt69z2PVo+rb9wpmn9\nuZtyjZHM/rMZkY1rzj61OfPu5rp1Xeo71qbyONwYqY5RGJ+0fXxiFRERERERERERERERERERERER\nkQOfWEVERETUzqX6F5jV0yAiIiIiImoI4xMiIiIiImpLUh2jMD5p+/jEKiIiIiIiIiIiIiIiIiIi\nIiIiIgc+sYqIiIionat6P3jqp0FERERERNQQxidERERERNSWpDpGYXzS9vHGqvbOsgAr/udn0+VD\nzExP4mdDKWfKzcv2aGk+kRaJ2zLNkmnhqJXwuTwaF3nKIjGRVlIp0yoismxMqc+KWSLNjst8TqbP\n32AeAPAFM2RaerZIC6bL+tIyEtNylTzZQbkOQj65/nxKD25YcrmpvInT9YYCIottyeWo8WemizRP\ndkeRZmblymn40xI+x025rcXtqKt2+Ey5PDKUZRlTtlOvUjY7LbEtGX5ZV9Ar14v6JEgl0Vb2PzMk\nl6UvM3EZ+csqZPUepR1Kmscvl6/oK4DEPqe6vlgk4XPQL+cpzSfr6hCS08zNkNt9XFkv5co+H3As\nc7+yDjS2rB5RZZp+X1CkaevF71gvgSy5D2lp2UWVIq00JtsRVxocVdI8jm1LK6f1zXFl2WppsXBE\npFlR2c/YkbBMq3Rsq3FZl9ZnOeepKk0kgWNYIqJWYltVf7U/OynjSEPN5zj2KHnU8a3bfNp4Vhvn\nOOvT2uqm/Y2hjMEMR8ymDF/U45+txXqWcipBXUbKmNSTOGVtrOxVDs5+pcFx292Y0VLGMFqaJMeV\nHqW9apoy5vB7ZdsKHePNUp9cjl4lXosF5LKNKHFuTI1z5famxbnxeOJY21bGfZaSpjGVZWRoy02J\nM0zHMtKWh9cvl61fWUZaWZ+SzxmvAUBm0BHDKeVylHJaXVlBpX5lHrRpOPNp27xf2Ye00Ebb19R9\nUuscYo5YWu0DlH5MyWfE3ZVV++K4u5i+ybT+VMmm9ZUin3LOTe2LlbrUPc2QqVqXLQ8xynKsXVA7\nJhERUbNpY59UlquLNi5rKsPla4tsZeztph3aWNPt8jC1EMvl5S/DckzDdNcO01kOgK2Ng5V82vKw\nHeMQw6OMSyzl/HuSGc52KAvX1sZuSnu1fNsjbd7VfNpYU7umkkTqNLVtS8mnxnVKP+DcP7RXnGn7\nkDaWdVN/XWnO6botp2lO3+mmr2xqP1kXt7G6m/nXzgU0ta7G1EfU1vDGKiIiIqJ2zjCNpJ5Yq2sa\nREREREREDWF8QkREREREbUmqYxTGJ22fy/uziYiIiIiIiIiIiIiIiIiIiIiI2g8+sYqIiIionTMN\nQ30kc7KnQURERERE1BDGJ0RERERE1JakOkZhfNL28YlVREREREREREREREREREREREREDnxiFRER\nEVE75zGq/lI9DSIiIiIiooYwPiEiIiIiorYk1TEK45O2jzdWtXdeL+D11Xw0fH6RxfAHRZrtScxn\n+wIyj1dLk3XFlAenReKWkmaLtPJoPOFzheMzAFREZFokJuu3LVm/YcpezPTK9npDGSJN1i/bYSrL\n25+WLtIycuRyy+6YJtJ67ZDYjr5dZLu6Zcj1kuGX8+S3YyINlpKmcG4zvpwckcebJufJ8MrlYaZn\nijRPx24yX2auSIsFEpdlVFnHyipGht8j0jqmKW1TCnfOlMtXe3xjpmMaWv2ZAdlF+7QGK7R90syS\ny8jbuXvC53Rlf7fC5SLNMOU2Y4bktuvJ7ijLKtMQ7VLmM+STaZ3SfCKtPCrn3e+R7S2tlNuzxzHd\ndJ/cFnxKXRbkthVTtjfLryyjDp1FWqhbl4TPmTsVijyVxZUizVb6Ts+GUpGWH5HLskLpYz2ObTfD\nq6wXZX8xlGXkVjwSFWl2JNxgmhmVy8OIynIeX0ikeU1lPSvbYEyZLdtOTIwreSyP0vdYf9bvU/Yn\nIiKqm2HL4x20NDflNK7zyf49qfW3Zdo8WDJNXeaOmMJjuBvzasdYv3LWyfJpx1U5DecYXZtmQIn9\ngkpahjJuz1bGqaVhOf7MTU+MA7QxakVEppUodamxr5JmKWPGWFSmWY7xrBYza2luabG1FmOZjvXs\nVcbofmVMqo1TM4NyXYX8Mk1bp86yGUpdWrk0pb1azKnna7i+kLLNa/uGFhNp2712MtdQzgWI/Vvp\nA1qkv3OO5ZVzL0mnzZehBgtJq0vrT211mkpf7MzCFxgQEaWcdl2hNWhjKzeMJL+OyG19tuPYqbXf\nOUYF3C9vUznsxpXzus7pxpXzplrbbCXNsJXxrVZWyWc4xjnOz3Wlmcp1Fi2fpaTFtXzRiEiT9Svj\nl5g8z2tq9SvjNzuupGn5kjj2c7t8DY+yzF2sK9MrY0S360+7lujR8jnS3Nblet61eE3b7h1pbstp\nXOdT+hk37WjONJPZVza1n6yL2/7TDW25NedcANG2ipE0ERERERERERERERERERERERGRA59YRURE\nRNTOmTDUX/UkexpEREREREQNYXxCRERERERtSapjFMYnbR+fWEVEREREREREREREREREREREROTA\nJ1YRERERtXMe04DH5bvjmzMNIiIiIiKihjA+ISIiIiKitiTVMQrjk7aPN1a1c2YwDWYo/c8Ej0/k\nsT1+meYLOD6HZB5/mlJO5quM2SItHLNEWiTecL6oJfNotM4p4PfItKCyPLLkNLw+jyNPUOQxlGl6\nffKhcWmZAZGWnSPr69M5Q6QN6J6VmKeDXAddM+X6zPLLdhiRYpkWi4g0+OQyMtMzE8uZsn7bkuvY\n8Mv5dNYFAJ7sjiLNCqSLNJiJXZxHOSaFvLJtHUNyntJ8cvsoj8ZlO2x322DAk1hfurIOtLYFlJmw\nTdmVWwG53MyO3UWaLz1xm/GUyfWOWFSmabzKtpCRI9sWlG3T+gsnv7IPZQfkNLtlyHUQ8MhlWRFo\n+BAYUNZBUEnTaH2WHcqWaTldRZqvx64JnztEwiKPtl8FsjaItLROctnmbC0XaZEyuZ5txzx4lO3U\nly77lLROsq/3K/k8PrkOTI/c12DJfc12bJdGXPZPRqzSVVrQL/tTZfUBUPotw/lZWUbKfhutNYGY\nV5lnIiKqk630teqpBzvx+OG6nJJPOywYWvctD1myrBJfGbY8xmjtULnMJ8aMyuPLbY8yPlLGmq7b\npjYkcV49ynHSqyxwJVyD9hBuQzlee5Rxk3NM53a8nx2U9Wvxq1a2UslXGUvMF47LPBURWZfbNG2a\nETXebjhfXInhmkNbL35lrO13jOW1PNq4PaRsNG7Tgkr8EHCM2dKUeN6ZB9DjB7WsMg7WyjonocVJ\nzmVWlabsa0pZ9WSu0rcJyvpU+wqlT7E9yjhbmYTaj1uxBut39jt1ctufavm0NMc6dV1OOw4145jg\nuiwREdH/sZVz3EaKX9HaWrTrNiKPpeQxlWWkja1cvjhIK+tc5pYprx1ZXhlfWsp1HCsq00ylrKmU\ntf2Jg8G4lkc5f6tNU8vnPi258Ygb2jl4w5Tjdmealsf0KecClHweZb2o9bnIp01TXe/K9mcqMYVH\niU/U7d5RVt2+tWGw0s/oZbfP/shJ64u3B9r6s11e3ydqTbyxioiIiKidM43Uvh+8ehpEREREREQN\n2d7ik7y8PPz2228Ih8Po0aMH+vTp0+amE4vFsGnTJmzYsAHFxcXIzc1F//79EQjIi/hERERERO1N\nqmMUXj9p+/iTJSIiIiIiIiIiIiKiJPrpp59w1FFHoUuXLhgxYgRGjRqFXXbZBbvvvjuef/75Vp/O\nhg0bcMcdd+Dwww9HdnY2evTogWHDhmH06NHYe++9kZWVhRNOOAHfffdd0tpKRERERES0LeITq4iI\niIjaOdPQX5ea7GkQERERERE1ZHuITxYuXIgxY8agoqIChmFg8ODBSE9Px7fffotffvkFEydOxLff\nfou777671abzxRdf4JZbbqn5nJaWhv79+yMrKwsrV67E6tWr8eqrr+Ktt97CU089hYkTJzarrURE\nRERE26pUxyi8ftL28YlVRERERERERERERERJkJ+fj/Hjx6OiogI77bQTvv76a3z99df45JNPsG7d\nOowfPx4AcM899+CVV15p9ekcfvjhmDNnDvLz87FkyRJ88MEHWLVqFebOnYtOnTohEongjDPOwLJl\ny5rcViIiIiIiom0Zn1jVztn+dNj+9D8/e30yk8cvy3kDjnrSRB7LFxJplZasPhK3RVpMyRdV8jn5\nlNs5Q36PSOuYLucpbsn6tbKlYVk25miwobTD75X3MeakyeXdOTMo0nrkymXZM0emdXeU7Zoh25ob\nkvMUQlSkGZEKkQZbWQdeOQ0zLSuxmF/Ok2HKdhgBJV8wXaTZyrYFU+nOrFjCR1+8UmTpEAiItAy/\nXFfa9hG3lf3FJecWot2JbCjv09XuhrZN2V47lC3S4oEMkWZlJi4jdFJ2PttlmiHbYSnrxdl/AEDc\nTFyWlVonoPArC6RDSK4Xn5IvrEzDuZq19ZLmk9uuKdYoEFW2mbBy2A1ldBZpnh0T2xZQ+ubczA4i\nLb1bR5GWtSFPtiO/SKRFistFWjwSF2lOHqWf9KXLfTmQk6mkyW3Sq5Q1lD5EsJS2xiMyLRoWSR6P\nXL4hrW9TtnHDSFzPHkNuVzFLOSZ4/iwX87f+TxFS/X7w6mkQETWa0vdqPw9yNTSxZT9k20plWn+v\nTMDWJmq6HDc1JU9dRbVlpHHm08Zp6vKWx3pbG3t7XNbnbJYSY2hjXm3cp43VPMrY2K8s3rg3cboh\nn6wsKyDnPa60Vxv3afGDFtNGLctFHq0uOVPNyWep8Y4jjxYPNoM2NtDWvelY0Vrc7/PI9d68fEqa\nY9tykwcAlEnCo827ks+rtM1ZViunzZO2bLU0bZ/UOPdvQ+tTPFrnrE1UW0hKWUeMDwC2i7hc68Pd\nanIfq6UpedT61TR3y03vxxtuR1uzrccn99xzD/LyqmLxF198EXvttVfNd9nZ2XjuuecwcOBArFix\nApMnT8a4ceNgKv1Hqqez00474YMPPsAhhxyi1n/UUUdh1qxZOOSQQxCLxXDvvffif//7X6PbSdQe\n2crYSrtmkOq6tDGeG87xFwDYSR4LapraXm0ZJZO2PCxleKGERLCV84La+tPmweMY6GnjcUs7x62c\nv7aD8vyqNk1tHVixxHOstnIe1o4raVo+l2kaN/nc1qVdn0pmPvX6l5bmcZfP1M5VK9uRc9vSrjFp\n5Uzl+qU2VtK2XS3NOQ19eOuubcnktj912xc1YfiWEk3tOzWp7k9bahqpkOoYhddP2r42sssTERER\nEREREREREW27bNvGM888AwA4+OCDMXLkSJEnGAzi8ssvBwAsX74cn332WatMZ8iQIXXeVFXt4IMP\nRr9+/QBUvXaQiIiIiIioPeKNVURERETtnMc0WuSPiIiIiIioIdtyfLJ06VJs2LABADB27Ng689X+\n7q233mqz0wGAzp2rnrRdWFjYpPJERERERNu6bTU+oeThqwCJiIiIaLvx448/4pVXXsHvv/8Oy7LQ\nq1cvjBs3LuG1GG1lOs2tY+3atfjiiy+wePFi/P7777BtG/369cOdd97Z1NkiIiIiIqJm+O6772r+\nHzp0aJ35+vTpgw4dOqCgoCChTFubTjwex6+//goA6NatW6PLExERERFR+2DbNj777DMsW7YMxcXF\n6NatGw455BDsuOOOSZvGr7/+il9//RUbNmxAQUEBsrOzMWDAAAwfPhx+v3xtajLxxioiIiKids40\nqv5SPY1UqqiowGWXXYYnnnhCfHfbbbdh4sSJePzxx5GZmdnq02luHQ8++CDuvvtubNy4UXw3YsSI\nRswNEREREVHbsy3HJytWrKj5f+edd643784774yCggIsX768zU5n9uzZ2LJlCwDg8MMPb3R5IiIi\nIqLtQapjlG39gVULFizAeeedlxCnAIBpmjj11FPx0EMPIScnp0l1b9y4EVdddRUWLFigXhMBgC5d\numDy5Mm4/PLLYZqpeWkfb6wiIiIiom2abduYOHEiXnvtNQDA0UcfjXHjxsE0TcyZMwevv/46nnvu\nOeTl5eGtt96Cx+Nptekko46ffvoJGzduRI8ePTB8+HAMHz4cDzzwADZt2tSk+SIiIiIias8aesVd\nhw4dmlRXQxcOqr8vKipyXX9LTqegoADXXHMNACAQCOCqq65qVHkiIiIiItr+zZ8/H8cccwxisRgy\nMzMxbtw4dOrUCUuWLMHChQvxzDPP4Mcff8RHH32E9PT0Rte/ceNGvPDCCzWfBw0ahOHDhyM3Nxfr\n1q3DW2+9hU2bNuGqq67CF198gZkzZ6bk5ireWNXOWcEsWKHsms+2xyczeeVj02xPYprtDYg8lZas\nqjImE6OWLdsFmeZRtv+gNzExIyA36a6yGNL9Sr6coEiriMRFWlxpr5PfKxurtS1DaUeHkFwHndJk\nWk5Qls30J158zQrIdvjjlSLNrCgWaUYsLNJgy/VneGXbjHQXTwMxlYvappwnW0mD1hnGIzJbRSwx\nIVzScLtQR8eozLtrLuZL3fd8cpvU9rW4LcuWWXL5Riy53GLxxHbElc3bshve5uskdyEgqmVUExO4\nbYXfI2/rzg7IZZThV/oex7yahqxLSVL7J62vqFD6QNMv9xd/jt+RJ0PmyZWP4Pf13CrSQgVbRJpV\nWijTSgpEWjycuF9Z0ZjIozGUBeIJymOJGUyTaSE5qDIz5UlsM+jIp/QpRly214jJPhBRuY/6vMpx\nSNknvWZivpglNxDtOBevtSnE/U27yYf+NHPmzJoblW6++WZMmTKl5rtzzjkHd911F2666SbMnz8f\n06dPxwUXXNBq00lGHVdeeSVuu+02dO365yjnv//9L2+sou2D6U0cO2ljMEM58Boyn+1m/Ga5HOO5\nHQs2cczYjNGWTllGtjNNG1Ory9Zdmjpu1wZOWn0OHuVneqaykJRhnzoW1EI42zHuU/MobXMRDqr1\nA4C2dTizuWmr27qq6nPX4ObMazK5+YWmlsXtuF3b+gwlo9YOZ7bm1KXR56vhaah51LrcLSN1Q9I4\nxt+ijwFgaH2F1k8qaWo+pc82nPm0umRNOm3e1YXURG765rq4PSnsth+vL4/Wn2/n+vTpU+/3Wj9c\nl/Ly8pr/g0EZQ9YWCoUAAGVlZa7rb6npWJaFU045BevWrQMA3H333dhpp50a3U4i+pPdxMGVoRzs\nm1qXW26ugbQlyV4e2jJ30mIWtR3KaT/LZXvdHH/chqCup6nmC7rIo0zTbSzSrLallpttwW0+bTye\n8mm6rstVNjXeaep0kzmfgL69mc24rOfGttZXNlVr7Hu07SgsLMTEiRMRi8XQr18/fPDBB+jevXvN\n908++STOOeccLF26FDfddBMefPDBJk3H5/Ph/PPPxxVXXIG+ffsmfJefn48JEybggw8+wAsvvIBD\nDz0U5513XrPmS5Oa52ARERER0TbDYxgt8pcq1Tcn9evXD7fffrv4fvLkydhrr70AAHfccUejLowk\nezrJqGP33XdPuKmKiIiIiGh7si3HJz7fnz/sisXq/3FSNFr1IzO/X/4QqbWnc+mll2L+/PkAgAkT\nJuDKK69sdBuJiIiIiLYX22p8kmpTp05Ffn4+AOCpp55KuKkKAM4++2yccsopAIDHH38c69evb/Q0\ndtxxRyxbtgyPPPKIuKkKAHJzc/Hyyy8jO7vqYUKPPvpoo6fhBm+sIiIiIqJt1vfff49ffvkFAHDm\nmWeqr84zDANnn302AGDt2rX44osvWmU6LdVWIiIiIiJyb+XKlcjPz6/zrzEyMv584nTtp0ppqp8g\nVbtMW5jOLbfcgsceewwAcPjhh+PZZ59tdPuIiIiIiGj79/zzzwMAhgwZgv3220/Nc+mllwIAIpEI\nZs+e3ehp7LDDDuoNVbV16NABhxxyCADgu+++a/DHJ03BG6uIiIiI2jnTMFrkLxU+/vjjmv8PPvjg\nOvPV/u6jjz5qlem0VFuJiIiIiLZlLR2f5OTkoEOHDnX+NUaPHj1q/v/jjz/qzVv9vfNX3a05nX/+\n85+44447AAD7778/XnvttSY9UYuIiIiIaHuyrV4/SaXVq1fj119/BVD1g4y6jBgxApmZmQCAd999\nN2XtCQQCAKpepVtZWZn0+nljFRERERFts5YtW1bzf//+/evMt9tuu8H4v+Dkxx9/bJXptFRbiYiI\niIioddQe5//888915isrK6u54WmPPfZoE9N59NFHccMNNwAAhg0bhrlz5yItLa3RbSMiIiIiou1f\n7esdgwYNqjOfx+PBgAEDRJlk+/LLLwEAnTt3Rnp6etLr9ya9RtqmWOm5sDL+/OWVbcpNwoK8QzJq\n2QmfYzG7wTwAEIsraUo+jc+U9wFmBxPbG/DKPB2CPpFm2e6mqdHuGA06pqu1w++R5QJKmrOuuvKF\nfDKfGQ0nfDbC8lHgRlTeoWnEIyINtiXTTPnKItsIynxuaHfeulwv6jxY8pF+diRxedgVZSKP5cgD\nAHalTENMLiPbksvIULZTIxASaWZGTsJnT1aubFsoW6aldxRpcZ/cb8ujsm3FEZlWGI4mfC4Ky+VY\nHo2LNG3/1vYNZdNFwCu3ozTH9qztB2k+WU7rFzzKLcPKJOF3cW9xsm8Qjyh9oK3sa14z8degwcyu\nIo8vcweRZubuJNN2lP2AJ1oh0oyo3O6NWOK+ZlfKuuyo0n8o+wYsuR1pfQq0fcgnfx1reB19u3L8\n0qj9nXbjelzuCx6lbNA5XY885tjeBo6tAWU5tDDT1PedZE+jWmFhYb15G/Or8OqLBGlpacjJyakz\nXyAQQMeOHbF161asW7fOdf3JnE5LtZVoW2Yb3sSYRBuTJpHhsv6mRw+AbSSxg3Vbl5tBjMu6mtX+\nJpY1lHGDNkda7eo6dbWelbXscvto+jTd5ktmXY3gWOhu9xe3WmXfUCll1Z3ezTTc1aXOuzoPWtzc\n8DTV+rV50tKUstq5IjdsW46NNa63LSWfmAW353uasT0ne19oqlTtQ7bR+qeLWzo+SaZ9990XXq8X\nsVgMH3/8MU499VQ13yeffIJ4vOp4d+CBB7b6dJ566ilcdtllAIC99toL8+fPR1ZWVqPbRbS9sWy7\nWdcSkkI5n0gtyzDdnST2NOPg5XYaTS1nNrF+ADU//kuVZA5pWkuqh4d2E/shy+X1V9tlvmSWbYm+\n1dU02Me2ea1+HP4/qY5RUnX9JJVWrVpV83/Pnj3rzduzZ098/vnnWLVqFWzbTvqx5ZVXXsHKlSsB\nAMcff3xS6662HRyuiIiIiGhb0qdPH+Tm5tb51xglJSUA4OoXCNV5SktLG93mZEynpdpKRERERESt\no0OHDhg9ejQA4KWXXqpzPP/UU08BAPx+P4477rhWnc6LL76Ic889F7ZtY4899sC7777bZi7WEBER\nERG1N8m8fpJKxcXFNf9Xv+qvLtXfW5aF8nL5EIfm2LJlCy6//HIAQDAYxE033ZTU+qvxxioiIiKi\ndq4l3g+eqneERyJVTxLzKk8Gc/L7q55+1pT3aydjOi3VViIiIiKibdm2HJ8AqDmRX1hYiCuvvFI8\nZeLNN9/ESy+9BAC48MIL1Ysjv/76K+bNm4d58+YhPz8/ZdOZM2cOJk2aBMuy0K9fP7z//vvo3Llz\nI+eYiIiIiGj7ti3HJ6lSUfHn23Gqr2fUJRAIqOWaKxqNYsKECTVvC/nXv/6F3r17J63+2lr/2c5E\nRERE1K6sXLmy3lfhNUZaWhoAdzcgVQ/Ym/J+7WRMp6XaSkREREREreeggw7CRRddhMceewxPPPEE\nVq1ahdNOOw0ZGRn46KOP8Pjjj8O2bfTr1w+33XabWseTTz6Je+65BwDw4Ycf4uCDD076dBYtWoQJ\nEyYgFoshEAjguuuuwzfffFPvvB1++OHweFr/dfZERERERNurZF4/AYDFixfjnXfeaVYdhx56KPbb\nb7+EtFAoVPN/9Y/K61L7mkjtcs1h2zbOOussfPTRRwCAs88+GxdddFFS6tbwxioiIiKids5jGPCk\n+BcRtevPyclJ2qslsrOzAVQ9dtayLJhm3Q9kLSoqAgBkZWW1ynRaqq1ERERERNuylo5PUuHhhx+G\n3+/HQw89hPfffx/vv/9+wvcjR47ECy+80Oy4qDnT+eKLL2oucFRWVuK8885rcHolJSXIyMhoVpuJ\niIiIiLY1qY5RUnX9BAA+++wz3Hrrrc2qw+v1ihurar/+r65Xk1crKSkBAJimWfMD9Oa67LLLMHPm\nTADAX/7yF/znP/9JSr114Y1VRERERLTN2mWXXQAAsVgM69evR48ePdR8BQUFNYP3XXfdtVWm01Jt\nJSIiIiKi1uXxeDB16lRccMEFePHFF/HLL7+gsrISPXr0wFFHHYUjjjii3ic/7bbbbhgzZgwAqK/w\nS8Z0evXqVTMNt9y81pyIiIiIiNqOESNG4Oabb25WHfvvv79I69WrV83/a9eurbd89fc777wzjCTc\noHbjjTfi0UcfBQAcddRReO6551L+ZF1GQu1ccdyEGfvzaQlx2xJ5LFuWi9uJiXElk1JMrctW0kzI\nHcqv7At+xw6SoWTyKPumx5SJPiXNq+bT2pGY6LGiIo8RU177E5ePxTOUR+UZcVkfrJhMU9Zfkxly\nRm1fMHn1K+03Yspyi5TJomUlMq28WKYV5SV+LikUeaKlsv5omXy3qxVRlrfC9MtuNZCTKdK8OYkn\nxbxddpJ17aB00UFZl+WVr4kKx+WOlVcul+/aosR53Vgqt9P8UrlNloTl8tD6Ab9XbkeZQTlf2Wm+\nhM8d0+S7eDuEfDItKNOylfoDXm3/Fkmib3B797mtdGTa3qj1d+GYzOnMVlL/EzRreAy5j3o8Ms3r\nd9cH+h0dqE9ZHFrfZmh9WzQsCyt9m6H0Dbab/s5y1/8ZMaVt2jRjSntNZZ909JW2mkcuOLNWPm95\noSzTwkyk/h3e2rE9GQYNGlTz/9dff13nzUpfffVVzf8DBw5slem0VFuJtmmmCZi1x/TJC4htbXyr\nZVTy6fW5HSc0nMdSMrko9n9lXWZ01q9MUz2x4bJ+ZSgBQ4v1HNMwlQkYWlxjxWU+bYygpcWV2MOZ\nT6tfG9Oo9btsmzJush0xkB1VBn5KnGQr7XXWVWdZpb3a/DvTLJfjLbcM7cmNprLPO9IM7USZV8YF\nhpam1a/l88l4RNTnDYg86lhQaa+Wz/bIaWrLQ5T1yLoMrX6tbVr9Wl+p9A3O+E8/B+SyP7XdjhNl\ne0W/pVSl9U8at63Qxs1uDgmGdkBoxnkcta9MhnqeqtpStuX4xKl///51vu6vPmeddRbOOuuslE5n\n3LhxGDduXOMaRtTO2JYNu6kD7jYg1W232siyMd0e7BWGUtaZph77XZSrq21a3OVRzl876/N45DFa\nm6Z2Tl67Jqbl066JOfN5lLGC2/rdnm/X6tPSUk275qGliTzKuC+iXAfQ65f5tLIxpawzn1a/VpfW\nV8TjLvPFlPMZjvnX+gpDu66spKnnS1yWdWN76Mfc0vqLbUFbOQ6nOkZJZXyy7777Yt999016vQMG\nDKj5//vvv8cpp5yi5rMsCz/99BMAYI899mj2dP/f//t/uPvuuwFUvaLwlVdegd+vnFNJstaPlImI\niIiImqj2L7Dnzp1bZ76333675v+jjjqqVabTUm0lIiIiIiIiIiIiIiJKlV69etW8peO9996rM9+X\nX36JoqIiAMDhhx/erGk+8MAD+Nvf/gag6ilab7zxBoLBJD4Yph68sYqIiIionfOYLfOXCp06daq5\n+WjmzJnYsGGDyJOXl4ennnoKAHDIIYegZ8+erTKdlmorEREREdG2bFuOT4iIiIiIaPvD+ER38skn\nA6i6eWrx4sVqnupX9nm9XpxwwglNnta0adNw9dVXAwCGDRuGuXPnIj1dvtUpVbbRVUREREREVOWO\nO+6A1+tFSUkJ/vKXv2Dz5s013+Xl5WHChAnIz8+HaZq488471Truv/9+nHjiiTjxxBORn5+fsukk\now4iIiIiIiIiIiIiIqLWdPXVVyMnJwdA1evMN23alPD9zJkz8cwzzwAAzjvvPPWH5F999RWmTJmC\nKVOm4LvvvlOnM3PmTFx88cUAgMGDB2P+/PnIyspK4pw0zNuiUyMiIiIiSrJBgwbhsccew3nnnYdF\nixahV69e2G+//WAYBhYtWoSysjIAwL/+9S+MHDlSrWPRokWYPXs2AGDq1KnIzc1NyXSSUcfy5ctx\n4403JqRt3Lix5rsTTzwx4bvHHnsMnTt3VusiIiIiIiIiIiIiIiJqrNzcXMyYMQPjxo3Djz/+iD32\n2AMnnngiOnXqhC+//LLmFYF77bUX7rnnHrWOxYsX49ZbbwUA9OjRA4MGDUr4funSpTjzzDNhWRYM\nw8CoUaNqnoJVlwsuuCDp10R4Y1U7l1cRRywQr/ls2zKPBSWxiUwYIk17tJ3HkPm8Sj6/o3DQK8sF\nPDLNZ8dEmhEtl2kVZa7ymZGKhM+24zMA2JUyDbGoTNOYHtkOn0+m+R3vEPUGZDt8SppXvnvU9sj6\nbdNdl2HYVmJCXM6nYSnrIB4RaVZJoUiLF2yWaXkbRVrFlsQnjoTzikWeysISWVdYaUfcEmmmsvH6\nsuQjB7X60h1lzYwckcejLA9Ysh22suPGLJlWGpHLvKgyMW1jYVjkWVcgt/nCcrlOKyNxkWaYcv8L\n+eX23DEjcbvsli23ye65IZEWjsnlockNye3Zr/QpPkd7/Ur/IVMAW0mNKusgFpdpUWUWIo58EWX7\nK4/K5R1V6o9rHbvCZ8oFEnR0vEGfkscj12fAmybSQoEMmab02T5LbvdGVPafhqOfNWJy2zVi2j6k\nbKexSpnm7Meaw1A2tlpp3hLZN7U00zBgKsfeZE8jlc4991zstNNOuPbaa/H999/j/fffr/lu9913\nxz//+U8ce+yxbWI6za0jLy+v5iYwp/z8fPHdfffdxxuraJthm94Gx5y2y/7EeQi0lGOidpRUhlvq\neMt1fY5EtS6lnBqbJS80U5mGnIC2uLVHX3uUcZ8ylBLxnzZeVNewdmxWxsva8V891kcTxw6GErOo\ncZ0SI1phmablsyNyvGI7ytqVMk+sXLZDizFiYTmfMS22UeICKyrT4o40WxmTNoehxFMen9z/TUea\n6Zd5vEG/kiZjX4+WL03GGUZAxiNGML3ez3WVM7V8IZlm+mU71LjclzgNW4v7vXI+1ThGOdeg9bFx\nLbZxpCmhiFou+f1d0zpGpetx3d8ZSka1PlfTlFNwUxcAmNq5IheHSKOBGNHtuZ9U2h7iEyLaPtiW\nDTvVg/BarGZMS4sz1HxNHNI1p22pZmoxhXY6TjuGu5mAdo5Yi3+U8a1XOQmt5Qso58z9jnOzaUqe\nkDI2DvlkPq2ss/6q+rRpJKZp9TvPqwOAT7t+ouTzanGBNi5T1p8zDnV7fNfieXXsquVTdoWYI1bS\nrg1ElXhKy1ehnPevUK69aGkRx/WScq2cWr+MB7WyzvoB/bpQ3DGvsYgsF1ciA7f9rZZP66Oc/aLW\n/21rfZtbWh8IuarUftGN5rStsVryOFyfVMco23J8cuyxx2Lu3Lk477zzsHbtWvznP/9J+H7ChAl4\n7LHHkJmZ2aT6165di1isqp+ybRsPPvhgg2XGjRvHG6uIiIiIiDRHHHEEvvvuO6xYsQIrV66Ebdvo\n1asXdttttwbLXnvttTXvA+/YsWPKppOMOvr164dZs2a5ntYOO+zgOi8REREREREREREREZFbY8aM\nwe+//44FCxbghx9+QElJCbp164ZDDz0UvXv3rrfs0KFDcfPNNwOoerKV02677VbzvVupuCbCG6uI\niIiI2jnDcPfr9uZOo6Xsuuuu2HXXXRtVpq7X7iV7OsmoIzc3V7zuj4iIiIhoe7G9xSdERERERLRt\nS3WMsj3EJx6PB6NHj8bo0aMbVW7YsGEYNmxYnd/3798fU6ZMaW7zms3VUy6JiIiIiIiIiIiIiIiI\niIiIiIjaEz6xioiIiKidMwCYSO1PIraDH1wQEREREVELYHxCRERERERtSapjFMYnbR+fWEVERERE\nREREREREREREREREROTAJ1a1c5vLIqjwVtZ8tuym1WMqt1H6THnfXtCrpPlkmscjK/QpEwl6E9PS\nvTKPGS6SaRVKWrhEpFlFW2VaaaFIi5UVJ3y2w2Uijx2NijQoy8jw+WVaMF0WTc+UaRk5iZ8zA7Id\nHlm/5QvJtvmCsqzpssuIRxI+GrYlsmhpdmW5rKooT6blbRRpZes3y7SN+Qmfw3lyvVcWV4o0O660\n1yPXlT/dJ9I8Qbl8NYZj3WvrHdryVrYZtX5lnzSVRC3NKa50DJWRuEyriMmyyrIMK8uyPJxYtiKi\n1KW0w6O0X+tn0nwekRZS0pxdj1fpd7S+SOPVlhvk8ogr/W7EkVgelcu7KCyXUVGlTNPKVsZkOzTO\nedWWY0ZAbqcdgnLfyA3JtAy/XFcZfpkvXdmvTMNRVutnYhGZFpdpap9dGZZpMdmP25Zcvm4Y5p/L\nMl5c2qQ6kinV7wevngYRUUMsGLBq/UbLsuWB0lbSNM6xgxbraDVp+eJqOxqeJgBx9NfyuG2Hy1l3\nRR8vKvmUsh5tjKS0TRtLOedWG89pDEuOc4y4khaT43sjUqGkJR7/rTIlHiwvlmlKPlvJF1fyRYtl\nvBMpSWxHRMkTLZPtj5Ro+eQ4J1Iqxy8xZRwZ08byjnGkpQxctdhJo8VTphL3e5TxpjeUON70BuX4\n058hx5C+dDmG9GemKflkPOzPkvn8mYlxuU/J41HidCstS6Sp8bzLfK46AudYGe7jebVvU9KijlUf\nUzotrb+LuuwDXW5asByl3f6CuDl9oBZHK5uz6Cu1aWrl3LdDiZFdxKsNzZPVBn4rzfiEiNoKy7Jh\nNfWiiYObOEY5vaVy2yZbO+66KKvFYW7rTzVDOdZpx2Ytn0c5b6xxczw1lTxe5VynVzufqoxnM5W0\nDMc51kzlPKxWl5aWpZR1e87cmU8rp6X5let1fi0GUNafdg5eHb+JPO4O8Nr+qO1+2q6gjWed5wxi\nyinjsHJOXjt37zatwkW+YuV6QakSD2ppJWpZGV+WuKzPya50uQ608yxamhK0xB3LXK1LO9/TRvo2\njZtrenXVp0/DEU+5bIfbc3Nu98n6JOs43FypjlEYn7R97frGqsrKSnzzzTfYsGEDAKBXr14YPHhw\no+v56aefsG7dOgQCAey6667YcccdW6UOIiIiIiLadsViMfzwww9YvXo1bNtGp06dcMABBzS6npUr\nV2LVqlUAgN69e6N3796tUgcREREREW27bNvGL7/8gl9//RWWZSEUCmHMmDGNrmf9+vVYsWIFKisr\n0bNnT+y+++6tUgcRERERUVO1uxur3nzzTcybNw9ffPEFvvvuO0Qif/6i85xzzsH06dNd1zVjxgzc\nfvvtWLlyZU2aYRg48MAD8eCDD7q6SSsZdRARERE1h2nov4xP9jSISPrkk0/w6quvYvHixfjqq69Q\nXv7nU2hGjRqFBQsWuK5r/vz5uP766/Hdd98lpO+111649957cfjhh7dIHURERETNwfiEqPV8//33\neOGFF7B48WJ8+eWXKCr68w0A3bt3x7p161zX9dVXX+GKK67Ap59+mvBki1122QW33XYbJk2a1CJ1\nEBERETVXqmMUxidtX4veWPX7779j1apV2LJlC/Ly8pCRkYHOnTuja9eu2HPPPeH1pr45d999Nz79\n9FMAgN/vx9ChQ7F06dJG13Pttdfi/vvvBwDk5ORg6NChKCsrw5dffomPP/4Yw4cPx1tvvVXvhYdk\n1EFERERERE3zxx9/4LfffsPmzZuxdetWBINBdO7cGV26dMGee+6JYFC+GjnZpk+fjqeffhoA4PF4\nMGjQIPz6668Ih+UrSevz2GOP4eKLLwYAhEIhDB8+HLZtY/Hixfj2228xZswYTJs2Deedd15K6yAi\nIiIioqbZunUrfvnlF2zevBlbtmyBx+NB586dscMOO2DAgAHIzFReEZtkr7/+Ou68804AVT8A79ev\nH7Zu3Yr8/PxG1fP222/j+OOPRzQahcfjwfDhwxEKhbBkyRL89ttvOO2007Bs2TLcddddKa2DiIiI\niCgZUnonUyQSwSuvvIK33noLCxYsqPfXDOnp6dh///0xevRonHbaaejWrVtK2nTsscfi5JNPxvDh\nwzF48OCaR9g2xuzZs2tuiJowYQKeeuoppKenAwB++eUXHHPMMVixYgUmTJiAX3/9FTvssENK6iAi\nIiJKhlS/H7x6GkStzbIsvP3223jttdewYMECrFixos68gUAAI0aMwKGHHopJkyZhl112SUmbDjzw\nQOy5554YPnw4hg4divT0dPTo0QN//PGH6zqWLl2Kyy67DABwwAEHYPbs2TXxw8aNGzF+/Hh8/vnn\nuPjiizF8+HDstddeKamDiIiIKBkYn1B7snDhQsyaNQsLFizADz/8kPBUpto8Hg+GDBmCgw8+GBMn\nTkzZmy4GDRqEKVOmYPjw4Rg2bBhycnJw8MEH46OPPnJdx4YNG/DXv/4V0WgU/fr1w5tvvom+ffsC\nAEpKSnDGGWfg1Vdfxd13342RI0fi+OOPT0kdRERERMmS6hiF8Unbl5Ibq9atW4d///vfeOKJJ7B5\n82ZXZcrKyvDOO+/gnXfewc0334xx48bh0ksvxahRo5LathtuuCHhc2N/CW5ZFiZPngwA6Nu3L2bM\nmJHwS/bddtsNL730EoYOHYqioiLceeedmDp1atLrSJYt5RFUeP98HaJlycDNVJ49Zzr2bp+SJ+g1\nRZple0SazyPLWh7ZDsOQ9fkdZY1ohWxruESmVRSJtPjW9TKtQG6/VlGeSIuWliV8jlVUijwaj98n\n0rzp8skIcqkBCKWLJMPnT/hs+wIij+WX5eyg/LWT5ZVl49r2ofT0HsO5XpT9zLJkOyrKZLZyuf4q\n8+X6C+cVK2mJ+SqL5XqxInGRZijbpMenbH9ZaSIt2DFbpIU6d5D1dUi8WdLMyBF5tPUH0123re2T\n2UFZtkMocRvsmiO3v3JlGVXG5PrT+g8ou4J2gihSGUv4XFgul3fILyvLUOYpw6/MZ1DOQ1ZA3bMS\naMvRY0VlRkvW7zFl/R6ftv7ksoxaidMNeGRdcTsm0rT1UlIp8xWVy3mIKGU9jvkP+WU7skOyHyuP\nyuURVfZ5C36Rpg0evcqyDHoSy2rHCI0dk/NuV8o+Sut77Ep5jBH1KdtCQ+Il5Q1nIqJmyc/Px7Rp\n0zBt2jSsXr3aVZnKykp8/PHH+Pjjj3H77bfjiCOOwMUXX4zjjjsuqW0755xzml3HTTfdhHg8jpyc\nHLz88ssJP8ro2rUrXnnlFey+++4oLi7GzTffjDfffDMldSRD3LYRrzVW0IYX2lhCzeesW8kkj05A\nXEmMK9PU6our7W24Lq39Wj6Ny2ziGGtCHnS147BHOcTKo7+7aQKAx05MtJQZaHiU9n9sZWVZcuxj\nxCMymyP2sMJKLFImxwNWSYFIixYWirTKAiWOKSxV0hLzhQtkOyqLZfvDBXL8EimT+bSyEWUsWKFs\n+BHHhun8DOjbvEYJsUTcCAAhJWPIsRH60+QW6E+XaYEsGU8FO8jlG8iSY9JgBxk3B3IS4+ZAWYYs\n11Fuf964y/GhMuY1fHK+DE9imm0pe2QTxqQ1RV33d4lpUSVPTEnT8rntd931d+42Sq1/0vpFrQ80\nDKXf0s6NOObVGV9VlVPaoe4vSpqS0VJ2Smc2Q2mrXWu5uT3+EFHTlZeX43//+x8ee+wx/PDDD67K\nxONxfPnll/jyyy9x7733YuTIkbjoooswceLEpL4J5Ljjjmt2zDNlyhSUlJTANE28/PLLNTdEAUBm\nZiZmzpyJPffcEytXrsTkyZNx3HHHib4pGXUkg23bdd7sVpNHCyoU6rlTUZdy/HNRDtCP4W7rc7at\noXludNtc5nPSrk0ZWpp2HFauT2nt9SrnO03TkU8JUNRpKgMH7XxqpnJOOzddjl1zHOPe3Aw5bs0M\nyLqytbSgHDNq+dKV9ga9jnPEyrINKIMV5/U7APAp57QRl/GJFsMZMZkmdsDmjGOU8bjtkcvIDihP\nN3eM0eOmXN5h5fx7pTJ2q1DyhWMyX5ly3abIcS2gKCyXrTMPoF9DyC+Vy1sb82qc8UO5FisY7jpP\ntc9SlltMWR5xR6ARV5at1t+56ScbQ+vLnLS+Tc2nrAPXfaWL6/3aWnFbl8Z0d9kG9V3ecXtMIkq1\npN5YVVpainvuuQf3338/KiqqLj6apondd98dI0eOxIgRI7DjjjsiNzcXHTp0QFlZGfLz87F161Z8\n8803WLRoEZYuXYqKigq8/PLLePnll3HUUUfh/vvvR//+/ZPZ1Cb77LPPan7Zfvnll6uvB9l7771x\n2GGH4d1338XMmTNx//33w1Prongy6iAiIiJKFhOGeiEp2dMgammRSASPPvoo/vGPf6Cw1o0Pu+yy\nC0aOHImRI0eiZ8+e6NixI3JzcxEOh5Gfn4+8vDz88MMP+Pzzz7F48WIUFxdj/vz5mD9/PkaOHIkH\nHngAI0eObL0Zq2XDhg149913AQBnnHEGunTpIvJ069YNp556Kh577DG8/fbb2Lx5c8KNU8mog4iI\niChZGJ/Q9sq2bTz77LO46aabEt7u0b17d4wcORL77rsv+vTpg9zcXHTs2BHxeLwmPvnll1+waNEi\nfPHFF9i6dSs+//xzfP7557jrrrtw3333YezYsa04Z3+KxWJ4/vnnAQBHHXUUBg4cKPKEQiFccskl\nuOaaa/Dzzz9j8eLFGDFiRFLrICIiIkqmVMcojE/avqTdWPXNN9/gqKOOwsaNGwEAQ4YMwWmnnYZT\nTjlFPTHvNHHiRABVFz/eeustPPvss3jrrbfw9ttv491338Xdd9+Na665JlnNbbK333675v+jjz66\nznxHH3003n33XWzduhWLFy/Gvvvum9Q6iIiIiIiobuvWrcMhhxxS84OG3XbbDaeddhomTZqEnXfe\nucHyf/3rXwFUPW32/fffxzPPPINXX30Vn3/+Ofbdd19cccUVKXuqbGPMmzev5pdbDcUWjz32GCzL\nwvz583HaaacltQ4iIiIiIqpbOBzGgQceiCVLlgAAevTogYkTJ+L000/HgAEDGlXX559/jmeeeQYv\nvfQSfv75ZxxzzDE45phjMGfOnFQ0vVEWLVqEgoKqJ3w2FFtUX++ZO3duwk1RyaiDiIiIiCiZXD6A\nrWErVqzAxo0bccwxx2Dp0qVYunQprrzySlc3VdXm9/sxfvx4zJ49G3/88QduvPFGBINBLFq0KFlN\nbZbvvvsOAJCdnY0+ffrUmW/o0KE1/3///fdJr4OIiIiIiOq2ceNGrFixAgceeCA++OAD/Pzzz7j5\n5ptd3VRVm2maOPzwwzFjxgxs3LgR99xzDzp16oRPPvkkRS1vnOrYAqj6cUtd3MQnzamDiIiIiIjq\nFg6HsWTJEuy55554+eWXsXr1atxzzz2NvqkKAEaOHIlHH30U69evx3//+1/svPPOWLhwYQpa3Xhu\nY4vdd98d6elVr95tanxSXx1ERERERMmUtCdW7bbbbli8eDGGDRuWrCrRsWNH3Hnnnbj66qvx2Wef\nJa3e5qj+xXtDF2R22mknUSaZdRAREREli2FU/aV6GkQtqUuXLnjnnXdw+OGHJ63O9PR0XH/99bj4\n4osxd+7cpNXbHNVxQlpaGjp16lRnvq5du8Lv9yMSidQZnzSnDiIiIqJkYXxC26NAIIAXXngBJ510\nEowkbYA+nw/nnnsuzjjjDLzwwgtJqbO5ascJDV3/6NmzJ37++ec645Pm1EFERESUTKmOURiftH1J\nu7FKe891snTq1AnHHXdcyupvjKKiIgBATk5Ovflqf19dJpl1NKT6UbmawsLCRtVFRERERLSt6dmz\nJ3r27JmSujMyMnDSSSelpO7GchtbGIaBrKwsbN26tcnxSX11NITxCRERERG1Z6FQqOZ148nm8/na\nzGu6a8cJbq9/1BWfNKeOhjA+ISIiIqLGSNqNVe1FeXk5gKpfmNQnFArV/F9WVpb0OhqSm5vrKl9Z\nZRyojNV8jtsyj0e5Q9LnSXyLZMx0dxulsxwARJWJhnyuqoNzqoYVk5niEZFkV5bLtEhYpoXlco9X\nVoq0WEVimhVV2qHw+OWMml6ZZgTTZb60TFlhKCuxHQGZxw7KtIjpl2lRS6RZyvbhM2Vi0JNYn20o\nbx21ZTk7FpVplRUiLRaW6yDuYpl7fLIdWpovXe6bgQ5yuaV1zhFp6d07izRv5+5yuo40I3sHkUdd\nfx65rrRfuQWUfa1DSHb5lp04rz5lXw75PCItMyjr2lAk96G8UrmuysMu1pXSjrglt8lITKZVxuIy\nLS7zxZVt0JlLvUM8LrdTQ+lnoGz3PmX9pfnk9ubsFmPKzpcdkOugPCrnXUvze2XbtGUZd0xXy1Oh\n1J+mbDPlSp8Sicn5ivlkmrMdAOTK0VaWso5hyfaqfU9UOXZoxwlHmh2X9UPZdhO+LpfHpJZmGlV/\nqZ4GESWf29gC+DO+aGp8Ul8dDXEbn9h24pjT1o7XSveuxTHOsloe7Rij5lPaoQwvXOWz4O5Yp9Vv\nace2JjKVY6dPC/5E1AVAmQd12KRMI+5IatYcKcvDsJUFp6U5js92ZcPHeQCwwvK47YwHASBaJstG\nSuR+EylOjHfCBbJchZIWLpRplUVy/FKsjNVKlTGdlhZxjgWV7bT+Uc6flIgQfmVwoKVlOMauGUpb\nsypkjBFX5t1SdixbSTOVeMpwpJk+OR73BOV43/TLfEYgJNLUbTCoxB7BxPZq23xz9iutrJbmXGxu\n+zEtTYt3tHNFqe4DPcr5DUvp3UwlzVbK2o5p2MqStJXOU+2KtcG0stzcPAXHVNpRez6TuJibjPEJ\n0barvNY5DrfXP+qKT5pTR0MaE59oQ8naLKU/trWgRavfkU871ml1aWlqO1zW5yxra+fP3KZp58aa\nyPDIc4yG6S7NtuV1Fm3eDeWAYKoHY2c5LU2WS/PLtmWH5JgxJ022t3NW4vafG5R5OigX0zqlyfoz\nA7IdGcq1kTQtzZs4X2ZlichjlMt90IyUynwReb3HrpD1WRWyPvXcbNQxXla2SZW2HfmUa3P+oEjz\nhOT1OiOUeC3H65fjfZ8/Q6RlBGRdVrq8LlSunEcv9ct15VzP2jWEreUybgwq8Y92jUajnQdxXkeo\niMj1ou1DGq1viysxYUyJ/+KO4EMrZ8WU6wBtuG/T0kxlXWn9kRYrOMuq5ZSgxbTcTVOLE9V+Vz2r\nVKUtxCdA6mMUxidtn8tui6r5/VUDklis/hsDorUO5s7BfzLqICIiIiIichtbAH/GF02NT+qrg4iI\niIiIqDq2ANxf/6grPmlOHUREREREycQnVjVSZmYmtmzZ0uAvIGp/n5GReBdyMupoSH5+fp3fFRYW\nok+fPo2qj4iIiLZfBvQnjSR7GkSUfJmZVb9kdPML7eo8WnzS3DoawviEiIiI3GJ8QrTtqo4tgKrY\nofZNUk4NxSfNqaMhjE+IiIioMVIdozA+aftSfmPVq6++ilNOOaVRZQzDQCgUQk5ODvr3749Ro0bh\ntNNOQ7du3VLUSvd23HFHrFy5En/88Ue9+datW1fzf/fuia/8SkYdDenQoUOj8hMRERERtQdfffUV\n9ttvv0aVMQwDgUAA2dnZ6NevH/bff3+cfvrpbeJk+4477gig6sJARUVFwuvEayspKUFJSdXj9bX4\npLl1NITxCRERERGRVFRUhC5dujS6nN/vR3Z2Nnr37o0RI0Zg0qRJ2GuvvVLQwsapji0A4I8//qg3\nDqi+/lFXfNKcOhrC+ISIiIiIGiPlrwKMx+OorKxs1F84HEZBQQF+//13zJ07FzfccAP69OmDqVOn\nprq5DRowYAAAYP369SguLq4z3y+//FLz/x577JH0OoiIiIiSxTSMFvkjagssy2pSfFJUVIQ1a9bg\nvffew+23345+/fph8uTJsCyrVeenOrYAEuMHp59//rnm/7rik+bUQURERJQsjE+oPbFtu9HxSWVl\nJUpKSrBu3TosXLgQ9913HwYPHowzzjgDFRUVrTo/tWOL2vGDU35+PrZs2QKg/vikqXUQERERJRPj\nE0r5E6sGDRqEe++9F5ZlYfr06Vi+fDn69u2LUaNGoWfPnvD5fNi6dSuWLl2KhQsXIhAI4LLLLkNu\nbi7y8/Px1Vdf4cMPP0Q4HMZVV10Fn8+HSy65JNXNrtNBBx2EadOmwbZtfPzxxzjmmGPUfAsWLAAA\neL1e8Yv4ZNSRLHG76q/x5RIL+dryA+oM5f5B06OkyXyGPyjSPIGwSPOlJ15Qs5ULbIZSvzdNPg3A\nzO4op6mkmTmdRVo8LfGXNlYoR+QJG/LRyRVR2d6YsmEYaqcu0wJeR5oy781h+mTX5Q3K+fJnpiV8\ndq4nAPAEAyItkCMfHZ22g/wVk7+LfIqet7P8dZSnY1eRZoWyEz7HA5kij+1Pk2le2V6Psg+HnOsA\ngGnI7S8cKbAAAQAASURBVN5nJubLDMhlmx2UaR1CPpHWNUfuLxsL5f6SVxYRaRWRmEhzygjKaXpM\nd31P3JILSUlyxbBkW42YnCfYyoV2rywr5wrI8CeuZ62teppM9CiLyLneASDkl9tHJJY4D9ryTvfL\n7SPglfu8Nk2P0jUk9WjCgSgRKXr27Il7770XAPDiiy9iyZIl6NGjBw499FD07t0bwWAQBQUF+Pbb\nb/HBBx/AsixccMEF2HnnnVFYWIgffvgB7777LsLhMO655x7E4/Ga+lrDQQcdVPP/ggULMHjwYDVf\ndWwBAKNGjUp6Hcli2zbsWscz7XinHcJt5RjoPBKrx06lLu14qpdtWj6lesSVhmjtcMZhzaGdsNGm\nadvujqdu14ubo72txHCGFtcp8+C6rDOPR4kRiZJAOxeg5nO7DTq2Z22bV8fBSj61rELtix37t7a3\na/2k1i1ofY8mmX2gytL6J2Wa2iJX+krDsBvOo9SvnXsxlGZoq9nU+nFHRm19mrXaoffdRJQqoVCo\nJp54//33MW/ePOTm5uLwww9Hv379kJaWhpKSEvz444949913UVZWhokTJ2Lw4MEoKSnBzz//jPnz\n56O4uBgzZsxAcXExXn311Vabn/333x8ejwfxeBwLFizAiSeeqOb76KOPav53xhbJqCNZbAuwanWc\ntssTilo+daztyKeWU9K0vjoek0GFbcVdpVnRSIN5kp2mMbTrNg6mV14H0NLUdvjluXVDO2fpOLfp\ndqziV86JhpRzp2nKedjsNHmWODuQmNYxTc5nlwyZlqHUn+WXbcsMyHyeikKRZpYUJX6uKBJ5rMIt\nIi1WlCfzlcr64yUyLVYmrytEy+SNo1Y08Xx73MV1BgAwlBPT2jUmr3L9yJclr9t4MnMSPpsZOTKP\ndu1Puc7nvHYEABlKWihNTqOkMnG79yrbt0+5YKCdH9CuHUfSZD9TEZH7mjPNr1wXqZTV6+djlIbE\nlZMoWlo0nLgdOfs6ALCUaztamtt+TOPs27S+rllpSiyp9YtaWdOxjZjKvuHMAwC2kqbFO25vFnJe\nw6vdN2uX2ohaQ8pvrOrXrx8uueQSjB07Flu2bMErr7yC8ePHq3mXL1+O008/HU8++STmz5+PIUOG\nAAB+//13nHzyyVi8eDFuuukmnHLKKcjNzU1101Vjx45FMBhEOBzGE088od4UVVpaipdeegkAcOih\nh4q2JqMOIiIiomQxjNTfh8b73Kit6NKlC66++mqcfvrp+P777zFt2jSce+65MJUL3xs2bMD555+P\np59+GrNmzcJRRx0FANiyZQvOPPNMzJ07Fw888ADOPfdc7Lbbbi09KwCAYcOGYeedd8bq1avx1FNP\n4YorrhAXZC3Lwv/+9z8AQJ8+fbD33nsnvQ4iIiKiZGF8Qu1JIBDAtddei1tvvRXvvPMObrvtNkye\nPBmBgLyYX1xcjGuvvRZPPfUURo0aheuuuw4AUFZWhiuvvBLTp0/Ha6+9hvnz52PMmDEtPSsAgM6d\nO+Oggw7Chx9+iBdeeAH//Oc/kZYmb0J44oknAABpaWk1cVYy6yAiIiJKplTHKIxP2r6UvwoQAK64\n4gp8+OGHmD17dp03VQFA37598e677yI9PR3HHHMMysvLAQC9e/fG3Llz0aFDBxQXF2Pu3Lkt0WxV\ndnY2LrvsMgDAa6+9hlmzZiV8b9s2Lr30UhQWFgIAbrnllpTUQURERERETXP33Xdj5syZ+Pe//43z\nzz9fvakKALp164bXXnsNAwYMwIQJE7B27VoAVSf6Z8+ejX79+iEej4vxfEsyDAM33XQTAOC7777D\nPffcI/JMmTIFP/74IwA9tkhGHURERERE1DSzZs3ClClTcMMNN+Dvf/+7elMVAGRlZeE///kP/vKX\nv+Diiy/G559/DgBIT0/Hf/7zH4wePRoA8Pzzz7dY2zXV8UJeXh6uuOIK8XSl5557Dm+99RYA4Mor\nr0RGhnx7QDLqICIiIiJKlpQ/sSovLw9PP/00BgwYgEMPPbTB/BkZGTjnnHPwt7/9Dc899xzOPfdc\nAEDHjh0xadIkPPzww1iyZAkmTZrUpPasXr0aX3/9dc3naDSa8N1rr71W89nr9apPk7r11lsxb948\nfP/99zjllFPwzjvv4OCDD0ZZWRmeffZZLFy4EABw6aWX4sADD1TbkYw6iIiIiJLBQOrvtucPLqit\niMfjePDBB5GTk4PTTz+9wfwejweXXnopTj/9dEybNg1TpkwBAASDQVxwwQW45pprsGTJkia3Z+vW\nrfjkk08S0sL/96jyrVu3JsQnAHDUUUeJCy3nnHMOXnnlFcyfPx833ngjlixZUhPHvP766zV1jB07\nFmeccYbajmTUQURERJQMjE+ovbnvvvsAAJdffrmr/FdccQVefPFFTJ06FS+88AKAqh9LXH755Xj/\n/febFZ+Ew2HMmzcvIW3r1q013znjk4MOOki8bePQQw/FBRdcgGnTpmH69OlYsWIFJk6ciFAohA8+\n+ABPP/00AGDw4MG48cYb1XYkow4iIiKiZEl1jML4pO1L+Y1VP/zwAyKRCPr06eO6zC677AIA+Oqr\nrxLSBw8eDODPgXxTvPvuuzjvvPPU79577z289957NZ/T09NRWloq8mVmZmLevHmYNGkSPvzwQ0yf\nPh3Tp0+v+d40TVx99dW4++6762xHMuogIiIiIqLGWbduHTZv3oyBAwfC63UXDqUyPvnhhx/qfKrv\nsmXLxHcbNmxA165dE9I8Hg9mzZqF888/Hy+88AJmz56N2bNnJ+SZOHEi/vOf/9T5dK5k1EFERERE\nRI1j2za+/fZbhEIhMc6vSyrjk61bt9YZn+Tl5YnvFi5ciAMOOEDkfeSRR5Ceno4HHngACxYswIIF\nCxK+P+yww/DMM8/U+6SpZNRBRERERJQMKb+xqvrGpE2bNrkus3HjxoSy1Xw+HwCo79N2q1evXjj+\n+ONd5Q2FQnV+t+OOO+L999/Hxx9/jLlz52Lt2rUIBALo168fJkyYgF133bXB+pNRBxEREVFzGYYB\nI8Uv8U51/URuVccYmzdvdl0mlfFJp06dXMcnQNWTsjSZmZl4/vnncd111+G1117D77//DqDqterj\nx4/H3nvv3WDdyaiDiIiIqLkYn1B7EolEUFlZCQAoKSlBZmZmg2VSGZ+EQqFGxScdO3ZU071eL+6/\n/35ceOGFmDVrFpYvX47Kykr07NkTY8eOxYEHHtjgfpiMOoiIiIiSIdUxCsc0bV/Kb6zq1asXAGDJ\nkiX46aef0L9//3rzW5aFZ599NqFstTVr1gAAunfv3uT2HHbYYTjssMOaXL42wzAwatQojBo1qlXr\naI6g10DQW/8vzk1lR/Z5EtN8psyj1avlc9YFAKbywDulKGznZ1Nu0rbHL9KMQLqsPyNHTsCyZJpX\n1udLDzvKxeU0vT6ZlpYl0jyZsh1mTmfZtLQOMi2UnfA56gmIPJVROU+RuHNJAnFLpnmUTcWW2WSa\noRRUtittGZkhua78WTLNVtaVPzPxJIKhzIAvXd5A6e+YK9I8HbuJNO8OSl+UKU8mxIPZIs0KJq57\n2yvXleXywY/avhH0ykS/R66skCNfmk8uo3QlLTck11WHoEzrnCb3ly3lEZFWVB5N+ByJKetT6VOy\n0+Q003wekab1Mxpte3ZXUOkrtH4gWumqOr9j/8jwy+Voq42V+QLKctOWUXlUtjeq9ANOWr+e4Zd9\ncXZQpvm1fVKpT9vGBa2fUZ6oovbFfnmTghGT26m2TmE6lmUsKvNo5WpPS+mXiSh1evbsCY/Hg02b\nNmH+/PkYM2ZMg2WqXzORivhkzz33FK/TaI4hQ4ZgyJAhrV7HtkKLhGxlnGqLyAOwbSWf0XA+S8mj\njbNhJfeEijOu06bpUQ662nkdLV7TWuvmpJA63FCO4bZyrDfU478SEyppRiDx+G9E5HjADMqLknZl\nhUjzpcdEmhV1l2bHE8cBVtzduMBUVqBHGeN5iuX4M6NSjk1KlfF3xLFynJ8BQAklVdpw3K9sb1pa\nyFE4qIwrA1kyntLT5Hg52EGue3+WEidmpjvyyO1Diy+1saa2balj0oBME9uzsn1rY2NtH9LyaadB\nNM7921D6SbWvUPtAra9QOweRYjUxiNPOdWn9opbP7TkrZz41D0+eE7V7gUAAXbt2xcaNGzFjxgxc\ncsklDZZJZXzSsWPHpMYnffv2xU033dTqdTSVbdmwa42BbGU85PZYZCnjLctRn3a+T5tmPKaMK5Xz\nT1ZUnt+ylHNezrJaHkupX5ummhav/9xYXQyPHN+ayvUZj5ZmKeMy53k86OPquGNdaetAo41ptHPa\nGcp4NivQ8PlU7Zx8hl/OU3ZApmV6lTFYifzBmVmWL9Lsgo0Jn6N5G0SeeMEWkVaxSaaF84pFWmVh\niUiLlJSLtGiZ3C5jFYn7QjziblvzKMvNVNK0mMJ53QkAAjmJN8UGO8prf6HO2nUn+aRC7VqUp4PM\np52/zkpPvD5lGHKeNFFl26pUYtPKmBJLKttzYUXiOXJ9vO+Os58EgJiynmMReV4+7ojf4xEZz8e1\n/k7rJ5vYjwGyL9P6IrV/0tKU/k4rq7XX9CnXmURZ5ZyKcv7LUM5Zmdp61u5BUE4k1BcXue2DiVIt\n5e9wGDBgAHbbbTdYloVx48bhl19+qTNvWVkZzj77bHz99dcAgBNOOCHh++qyu+22W+oaTERERERE\n262srCyMHj0aAHDGGWfg888/rzNvNBrFTTfdhDfeeAMA8Je//CXhe8YnRERERETUXNXXQa6//nq8\n/vrrdeazbRv//ve/8eCDDwJgfEJERERE1FJS/sQqAJg6dSrGjh2LX3/9FQMHDsSxxx6Lgw8+GD16\n9IDP58PWrVvx1Vdf4aWXXqp5ZeB5551X805woOqixrx58+D3+5P2xCkiIiIiqvr1fDN+OOR6GkRt\nxb333ouPP/4YmzZtwv7774/DDz8chx9+OHr37o1AIICCggJ89913mDVrFlatWgUAOOKII8QrMebM\nmQMAGDt2bEvPAhEREdF2i/EJtTd/+9vfMGvWLGzZsgXjxo3Dfvvth7Fjx6Jv375IS0tDSUkJfvrp\nJ7zyyiv44YcfAAD9+/cXT7eq/kEI4xMiIiKi5Ep1jML4pO1rkRurjjzySMyYMQMXXHABysrK8Mor\nr+CVV16pM/8ZZ5yBf//73wlpmzdvxvXXX48ePXqgU6dOqW4yERERERFtpwYNGoQ5c+bg5JNPRl5e\nHubPn4/58+fXmf/II4/ErFmzEtJKS0tx6qmn4sILL8TAgQNT3WQiIiIiItpOdenSBe+//z6OP/54\n/P777/jss8/w2Wef1Zl/yJAhmDNnDoLBP18Za9s2DjzwQOy333449thjW6LZRERERETtRovcWAUA\np556Kvbff3/cf//9ePnll7FxY+I7eUOhEA499FBcfvnlOOKII0T57t2749prr22p5hIRERG1G4ZR\n9ZfqaRC1JYcddhh++uknPPDAA3j++edrnkxVze/3Y7/99sNFF12Ek046SZTPyMhgfEJERESUAoxP\nqD0aOHAgvv/+ezzyyCOYMWMGfvrpJ9i2XfO9x+PB3nvvjXPOOQfnnnsuvN7ESzuGYeCKK65o6WYT\nERERtQupjlEYn7R9LXZjFQD06tULDz/8MB5++GH88ccf2LRpE2KxGDp06IDevXuLYIBSLyfoQ0bI\nV28eU9mTPY4kn8cUeQJKWprPI9L8Sj4lyV2HYsr6bW9ApvlDsmhmrpymzy/zVYZlfbFIg00zvLIu\nI5QuMwYzRVJcSbOVNMuflvC5MmqJPEoSasXoqWHIFWpryyM9S6SZ2R1FmrbFetIzZKKVOLOGT5Y0\nM3JcTdOT21VWn9ZBpoWyZVpArquoY5nH43IlaNu89ihIr5JoWHGR5rFiIs3nWDeBgFxGQecOD33/\nDvlkWq7Sv3RQ0ooyEttWGVM2VEXAK6eZ4ZfHEq3vcdPPqPuGsj2raZDrALacL0PrP8R6kfNk++U0\nDWWj8SnbR7pfLo+w0jmEXawHbTm67etDXtk2r7K9ebQN39E0W+tnPLKfgU/p/5WuGKZSnz8o0yKO\nY4Ill5kdV7aF2pMyZL1E1DI6d+6MO++8E3feeSc2b96M9evXo7KyEtnZ2TWvBaTWpR4ClOOzdgw0\nnQdy5ZgVt5TjDtQBgNI4ZfxmK+MyIzGfreTxKO23lfZaatuaxlTmSTuua21T8ykrS1t/TX60uXqs\nV84hxGWa4ZXjTyOQGDuZyvjZddO0uFEZk3qDsk/xZyW2w59ZKvIEO5SJtGiZjEsjZVGZr1SONbV8\nHSJy/uOO8aGl5GkOUxmTepSYwuPI50+X69Mbkss7kCWXty9djrv8mXIwGOgg40tnPp9j3QGAJzNH\npJlpMh40M2UsaabLfM7tFAAsX+J8aWNedd9QYxbJ7X7rTNP6ANtlf6p0p3X0US77Zxe0+jVuz09p\nfaVYRkoet3Vp7dDWqHY8bKhdRNR2pKen44YbbsANN9yAwsJCrF27FuXl5cjIyMDOO++MjAzl/Cel\nlG3ZsGsFIJZystBWAhQtzdLyOeqLK+fibGWcainnE7XzT1o+LS3uSGtO/Vp7beV8mRuGcn7OVK4r\nWMp4XK9PGX8q1yW19eeGNh7Szon6lXPaAa9sW4ZjHKyd001Xxs8Zynljs3SrTCvLF2l23h8iLbZp\nTcLnyKYNIk/ZxjyRVq6lbS6WaVsrRFpFgYx3omVye4tVJF5XiEfcbWseZRlpMYUvXW5boQ4ypkjr\nVJj4eQd5rStSUi7S0svlvPud55sBeJX9ShsLOs+RZ2TIN0DFlO07Em94+wOAImU71bZn53avnt9X\nqH2n0i9acZkWr5TLMh5JTItFlDxKOb1va1o/Bsi+TOuL1L7No+TTrv0pZTVa/2y66D/1vlOud3UR\nKevPULYHy1GdWatYU/tkomRrtTuZunfvju7du7fW5ImIiIjo/5jQg/FkT4OoLdthhx2www47tHYz\niIiIiNo9xidEQE5ODnJyclq7GURERESE1McojE/avlZdR+Xl5QiH5Z23RERERERELS0cDqOiQv5S\njYiIiIiIqKVVVlairEw+uZKIiIiIiFpWi95YtX79etxwww0YOHAg/H4/0tPTMWnSpIQ8q1atwpQp\nUzBz5syWbBoRERFRu2XAgGGk+K+Jr2khSqWCggJMmTIFw4YNQzAYRCgUwoEHHpiQp7CwEFOmTMG/\n//3vVmolERERUfvC+ITaq4qKCjz88MM46KCDkJGRgWAwKN76Yds27rrrLtx5552wmvFaIiIiIiJy\nL+UxCuOTNq/FXgU4Z84cTJo0CcXF8v25teXk5OD2229HVlYWTjnlFJjKO5SJiIiIiIia4/PPP8cJ\nJ5yADRs21JsvOzsbDz/8MLZu3YqTTz4Zubm5LdRCIiIiIiJqL1asWIFjjz0WP//8c735DMPA66+/\nji+++AJHHHEE9tlnnxZqIRERERFR+9Uidy0tWbIEEyZMQHFxMbp27Yprr70W5513npo3JycH++67\nL/Lz87FkyZKWaB4RERFRu2YaLfNH1FasXr0aY8eOxYYNG5CdnY1LLrkEN9xwg5rXMAyMGTMGlmXh\nvffea+GWEhEREbU/jE+ovSkpKcFRRx2Fn3/+GcFgEGeeeSbuvffeOvMfffTRAIB33nmnpZpIRERE\n1K4xPqEWeWLVddddh8rKShx88MF44403kJmZiZdffhn//e9/1fwjRozAwoUL8cknn2D48OEt0cR2\nq0tGAFkZgUaXM43EvdvnkXu7x5BpXo+sy6f0FH4lTavPyTblJm34gjKfLR+TbKll5bIx0uIyTalP\nMOXM216/kqa0N5Au03whkRaz7ITPjo9VzVAWo7L61OXt0daLm57ekPdw2h4570YwU9bfQS5vMyiX\nhxUJN9gM0y+XrZGeJTMq7YiHskWareSz/LJtlcrmEXesHGVVwbBlqqmsLC2fYcVkhZa27UYT61fy\nBD0+keYJyHXqUW7V1fbvNJ/cF8qj8Xo/A0BcmU9tO9XqT/fLtGT2M/Ao/YfWLyjzoE8ksawRj4os\nAaVvA+Q0PcqTHwNxOZ8hr8znXOZa87VFpi1Hta9XtuemrhdtHdhel8c3pX82tbLKfmXHHOtG2Yca\n4g2UNLoMETXPbbfdhvz8fAwYMADvvfceunbtiiVLluCee+5R848YMQLPPPMMPvnkE5x00kkt3Nr2\npfrx1/Ux1ZGTZDvqMbSxsSkTLeXR24ZyWPco9WlRgW0n1mcpB1RtjrSxvLOuxnB1OFXyOGO/uvKp\nsYKSz5mkhRPOdQdA3y6UmML2KrGeLAnDEaMYyhjPo8UPwTSRZobLZVpGjkjzdigTaYGKxLR0pa5Y\nmYx1YuFKkRYPR2S+Cpmm5YtHlXFOPHFcYyuvG7Lj7l5BZCjBgqGMUw2PHJd5fInrxhOU690bkmlq\nvqAc43nT5Xo2tfUcSoz1DCUuNZX4Ut1mQu5ifEs5J+E8Z2Ar8Zq2b2idgLavaYN+rfsQ+7eyM2u/\n5lRCEbW/i6s/BVXmwWWIJWpS+zs3U9T7RbU+kUdZRi7P0bgtq7e34boa8z0RJd9DDz2EFStWoGvX\nrvjggw/Qv39/FBYW4rrrrlPzjxgxAgDwySeftGQzqZlsLQ5wniNWziupaXGZZsXkGE9Li7vIZ0Xd\n1WU5z4tBb6/VhPNlAGBq11RcvgIzZlbI+pTrMfGYHAfH44njT+d6agwtTvIr52EDSlrQkaadSw0o\naWZEiU8qlfOPpXkiKZa3UaRFt25KLPbHFpGnTEkr3SDfYFSyoVSklW+V66q0VG5vRco1g4p44rqJ\nuFxX2jnoULFMy/DKtmUXyPissjgxPouUyn3Dimgxl9yeM7ULLcq26wsocYwjfrD9MhYJeGQ5bdty\nbn+Avp1q27Or64YKbV/TzqFo+63WR8UiiesvXinXZ1y5tqj2d03sxwDZlxlq36ZcC1XWe3No9TmP\nJxbkvKvlLBcBEAA9QiHaNqX8xqrNmzfjo48+gt/vx8yZM5GZWXUjQn1BepcuXQAAv/32W6qbR0RE\nRNTuGUh9iMMQitqKWCyGV155BQDw9NNPo2vXrgAYnxARERG1FYxPqL156aWXAABTp05F//79ATA+\nISIiImpLUh2jMD5p+1L+KsAffvgBtm1j+PDh2HHHHV2Vqb64UVBQkMqmERERERFRO7NmzRoUFxej\nR48eGDp0qKsyjE+IiIiIiCgVbNvGsmXLYBgGjjvuOFdlGJ8QEREREbWslD+xqrS06rGOHTt2TEiv\n7xcXsf97hJ/PpzzOnIiIiIiSqiXe4c13hFNbwfiEiIiIqG1jfELtSUVFBeLxONLT0xEK/flaWMYn\nRERERG1HqmMUxidtX8qfWNWhQwcAwKZNmxrI+aeff/4ZANC5c+eUtImIiIiIiNonxidERERERNRW\npKWlIRAIoLy8vOZHIA1hfEJERERE1LJS/sSqPffcE6Zp4quvvsLmzZuxww47AKj7FxexWKzmneIj\nRoxIdfPavdyQB9lpjd8MnGvPVNantoo9SqJHub1Py+dT8olchsxke5Rf7vjTlHxyORjegCxrW0qa\nLdOcTI+racLjV/LJebBNpayjGR5tN1NueVXzKTxKWa+S5lx9alv9IZFkKevP8Ml1YKRHZNvcrAOP\ntg6U5e2TbbN9QZmmbB+W+hZc2TY3dx5r/aTrG5aVZQlDtsPFUoOhbPNeZVmGvHKa2r7sN2V9IV9i\nvhxLbjOWq9YCPpfbqV/Z8LV+RlA7N2U70taB1n9o+bR9xlnMios0v7JeADlNbRn5Pcr24W6RC677\nfyWfT0lUhwyO5abtyxqtP1L7emX5avuCWKdanobaZMv+hYhSp3v37ujYsSM2btyIb775BoMHDwZQ\n/y/CZ86cCYDxSUswjcTjg3oo0sZILo5ZtnJgs2x3oytbOVxrZdVpiBStnKtmwGrisRlwO/5Uyqn5\nZEatfu1Y7yzrdnyrxz9ygRjauF2NuxJjLNsnY0Qjni7TQllKPjlu8MRlzGJHK2U7Yon57MqwLBeL\nKmla/TKfs/666tPGPrblYlyjlFMp8bDGMLWxcWJZw6vE+F45FjSUp3gYWj6lPiOgjM8cZbVYVR2T\nKmN0S437lbLaeQTnPCj7hra/qPuQQtsntXMBzqS40j9ZSjm9n2z5ftHtr4HrGR4k1qeWTSzseppa\n/S7607q46v8bmZ+IkmvgwIFYsmQJ5s2bhxNPPBEA45O2wrJtGLUOSrZy4NHSLJcHKGc+Wx2TNT0t\nrowFLS0tGmk4jzYm1aYZVcafbseMznLNGEMaSlltvvRlmbhe3K5PjTaO0tK087UBxzhSP6erxMdh\nGVMYkQqRZpWViDS7vFikVRYm5gvnFYk85XllIq10k0wrU9IKyuS2taVSrpeiqEwLO9ZNxOW68ivL\nMqikZfvkdhSx5PLtFE+MnQztGkVIjsc9QRkD+LNkbOrNkutFW39meuJ6NmKyrb6gvP7lZvurK5/b\nbdwNbV/T+125LbjZv/W+TaYlsx8DZF9mqNdxUk/rF53zpbVNXd6WzKetd22durkMZ9XKZDX1QhW1\nuEWLFmHGjBlYtmwZiouL0a1bNxx22GE444wz0KlTp2bXv2LFCrz33ntYvHgx1q9fj40bN8Lr9aJH\njx4YOXIkJk6ciJ122ikJc6JL+Y1VHTp0wCGHHIL3338fV155JWbOnFlvUHDdddfh999/R1ZWFo44\n4ohUN4+IiIio3TMMw/WFmeZMoyUVFBTAsizxure2OJ22Ukd7YZomxo0bhyeeeAJXXHEF3nnnHQQC\nyg2W/2fq1Kn45JNP4PF4cMIJJ7RgS4mIiIjap+0pPpk/fz5eeOEF/PLLLwiHw+jRoweOPvpoTJo0\nCRkZGW1qOi3VVpL+8pe/YMmSJbjpppswevTomqfsaubMmYMZM2YAAE466aSWaiIRERFRu5bqGKWl\nr58kk2VZuOSSS/D4448npH/77beYN28e7rnnHjz33HM47LDDmjyNCy+8ENOmTVO/W7p0KV5//XX8\n/e9/xy233IJbb721ydOpT8pfBQgAU6ZMgcfjwfPPP4+jjz4an376KaK1fkkZjUaxYMECHH300Zg6\ndSoA4IYbbkB2dnZLNI+IiIiItgOrV6/G2WefjZycHOTm5qJTp07IysrCaaedhhUrVrSp6bSVOtqr\nW265Benp6fj4449x0EEH4Z133kG41i86LcvCl19+idNOOw1XXXUVAODss8/GLrvs0lpNJiIiIqJt\nSHl5OcaPH48jjzwS//vf/7Bo0SJ8/fXXmDNnDi666CLstdde+Oabb9rEdFqqrVS3Sy+9FN27d8fy\n5csxYsQIzJo1CyUliU8iWbZsGa666iqMHz8elmXhkEMOwejRo1upxUREREREVa6++uqam6qOP/54\nzJ8/H0uXLsW0adOw4447YsuWLRg3bhy+/fbbJk+jrKwMe++9N6655hrMmDED77//Pr755hvMnz8f\n//jHP9ClSxdEIhH87W9/wx133JGsWUuQ8idWAcDIkSPxyCOP4OKLL8a8efMwb968mu/efPNNpKWl\nIRaL1aSNGzcOkydPbommEREREbV7hpH6V36k+gcXH3/8MY499lgUF1c9GjsrKwumaaKwsBDPPvss\nXn31VcyePRtjxoxp9em0lTras169euH555/HiSeeiMWLFycsp++++w6hUAiRyJ+P/R45cmTND0CI\niIiIKLW2h/jk1FNPxWuvvQYAOOuss3DGGWfU3Nh/++23Y+XKlTjqqKPw5ZdfokePHq06nZZqK9Ut\nIyMDr7/+Og477DAsX7484UlUxcXFSEtLQ0XFn6936tOnD5577rnWaCoRERFRu5TqGGVbfWDV119/\njYceeggAcNppp9U8WRUAhgwZgiOOOAKDBw9GUVERLrvsMnz88cdNms60adOQliZflQoARxxxBC68\n8EIMGzYMq1evxl133YUrr7wS6enpTZpWXVrkiVVA1eO53n77bey+++4J6ZWVlTU3VaWnp+Pvf/87\nZs+eDVN5JzIRERERkdP69esxbtw4FBcXo3v37vjggw9QVFSEgoICLFy4EL1790ZZWRkmTJiA33//\nvVWn01bqIODYY4/Fp59+iuHDhyekR6PRmpuqfD4fLrnkEnzwwQd1Bm5ERERERLW99tprNTcq3XLL\nLXjyyScxatQo7LPPPrj66qvx3nvvwev1YuPGjbjxxhtbdTot1VZq2NChQ7F06VLx4xjbtmtuqjIM\nAyeddBIWL16Mrl27tkYziYiIiIhq3H///bBtG4FAAP/617/E97169cINN9wAAFi4cCE+//zzJk2n\noXPznTt3xtlnnw2g6ulWy5Yta9J06tOidy+NGTMGP/74IxYuXIg777wTF198Mc466yxce+21mDlz\nJtasWYPbbruNN1URERERtSCjhf5S5fbbb0dBQQG8Xi/efPNNHHLIITXfHXDAAZg7dy4CgQBKSkpw\nyy23tOp02kodVGWfffbBF198gaVLl+K+++7DpZdeijPPPBNXXXUVnnjiCaxatQqPPPIIQqFQazeV\niIiIqN3Y1uOT++67DwDQtWtX/O1vfxPfDxs2rOak/3PPPYf169e32nRaqq3kTp8+fTBv3jz8/PPP\neOSRR3DFFVfgzDPPxOWXX45HHnkEy5cvx4svvoiOHTu2dlOJiIiI2pVtOT5JlWg0ijfffBMAcOSR\nR6JTp05qvkmTJtX8/+qrr6asPbm5uTX/B4PBpNffIq8CrM0wDBxwwAE44IADWnrSpOgQ8CAn6ElJ\n3YbLZ9Zpj83TSppKfSLJtkUe21Q2c0O5ec/jk2WV+lS21XAebZraMlLy2VpZhdexMD1K/Za2jJQl\n7rYDV9eLYxq2smxhyMfv2V7ZyRl2piyrLe8mrwNleavbjJxPbb2YkMvX71HK2k07RKq7VXO2e1cT\ndVdOmU0EvTLRp9w8azlmweWep9L7D5nmURKd+4y2vF0vW1vZ7t1y1Kf2AUqa1l6/R1ve7rZT53px\ny+3jUN329RqxHlz261pfkcy+3nDTFzlYsWZsK4Ty8nI8++yzAKpeJz148GCRZ/fdd8fJJ5+Mp59+\nGrNmzcKjjz6KnJycFp9OW6mDpCFDhmDIkCGt3QxC1fG59jHabRetjUMkd2Njt/SSyTsN0tTjcHM0\n55HmTY0fXD/qXBu3a8d6U4tvA7Ksz3HDpLYtKMd19VjfnDSraeMLPS2J8avLdjSH2zhXNsRlOZfx\ntuW2Pmcc43KM7jrGb8Y5gybXr9DiJFPZtJx9lHaCsTn95LbWB7rRnOrdxklNVbt6bRsg9zZu3IhF\nixYBAP7617/C59PjvUmTJuE///kPLMvC66+/josuuqjFp9NSbaXG22233bDbbru1djMoyewmHtzs\neFypy12a62k4ytrKGFWrPx6NpLxtTpZSl+myvalum1vqeWk1zfFZOUSr12fiMZlmyTQ7EpZplTIt\nHo7U+xkAoqVKWllUpIXDsh1FUbn+SmMyrSzecL54M84hxL1yvKxdY/Mr6yrDMV8BZd61ZaQtSy1N\nWy/a+nOuZ21b0OZJG2oqlxVcb7vJpPWdrvfveMN9m9antEZfYZvaNOX5DTfzCUAN0NzMl1aXoZ5n\n0eqX68pwd8KOtlE//vgjioqKAKDee3969uyJnXbaCWvWrKmJP1Jh3rx5AKqeXpWKsTQfDUVERETU\nzpmG0SJ/qfDee++hvLwcAHDCCSfUmW/8+PEAqn5F8fbbb7fKdNpKHUREREREbdm2HJ988cUXsP7v\nol19FxeGDx9ecyNTUy4uJGM6LdVWIiIiIqJt3bYan6TSTz/9VPN/375968276667Aqi6GSvZVq5c\niXPPPRdvvfUWTNPEgw8+iEBA/siyuXhjFRERERFts77++uua/4cPH15nvhEjRqhlWnI6baUOIiIi\nIiJKDbcXFwKBAHr27AmgaRcXkjGdlmorERERERG5V1hYiIKCgjr/2oqNGzfW/N+tW7d681Z/n5eX\nh7j2lLVGOProo7H77rujX79+yM7Oxi677IInnngC+++/P+bPn49TTjmlWfXXJWmvAvzyyy/x4IMP\nJqs6AFUXiy6//PKk1klEREREiQyjEa9iasY0UuGXX34BAJimiZ122qnOfF27dkUwGEQ4HK4p09LT\naSt1tBe///47br311qTW2adPH/zjH/9Iap1ERERElKil45PCwsJ683bo0MF1vY29uLBy5Ups2rTJ\ndf3JnE5LtZWqlJeX4/zzz09qnenp6Zg2bVpS6yQiIiIiKdUxSu26+/TpU29e227a64WTrbS0tOb/\nUChUb960tLSEctnZ2U2e7sqVK8U1j7S0NPTv3x9du3Ztcr0NSdqNVatXr8bMmTOTVR0AIBwO88Yq\nIiIiou1MMi9c5OfnAwCysrJqXk9Rl9zcXKxfv76mTGMkYzptpY72Ii8vL+nxydChQ3ljFREREdF2\nJpkXLppycaF2mZacTku1lapEIpGkxyfZ2dm8sYqIiIiIWkXtJ0+ZZv0vyvN4PDX/x2KxZk337bff\nRmVlJSzLwtatW7Fw4UI88sgjmD59Op577jk8++yzGD9+fLOmoUnajVUdO3ZMeOWI5o8//sC6desA\nADk5OejZsyd8Ph+2bNmCtWvXAqgK4gYNGgQA6NevX7KaR3UIWRVIizf/HZO24fKtkq7zKbd8KmXF\ndLU8pkemQUlTzpFYKb7jU3tfqjrrWjtsS9ZnWQ3mkXPeCNry1d4o6sinrYOYUs5WqopbyVsHhrJw\nTWV5e7R8cLcODEseDAwlnytutvk68lmQ82C5ePurtrQNJVGryaMsTMOSj3P0G8rysB35tGXrcjnq\n/ZGSZjXcz9imPExq27Nla2lywbndmt3c9G4qubRy2rZrounL1xWXM+p2Xdnq9mw4PrvbN2xlIbnt\nZlL1K4AKszIl9TaGYdv6sSbJ06iWzAsXZWVlAIBgMNhg3uZcDEjGdNpKHe1FRkZGg/HJ1q1b8dtv\nvwGo+rV3r169EAwGkZ+fj1WrVsG2bXg8HgwdOhSGYaB///4t0fR2zdkfqcfEJB6ztCNRUo+JQFLb\nm3KuByvu4jr1WC+moR2v5ZpX05ToRhsTaLMl1oqysWnHI23coNav5dPq8zjzKJU1o361rLtJuG5L\nMrn59afLswqu4z+37XBO12396hhdy9fE9ur1uzvXoNanrHitXxTLw21f15b7xGRv827PgTmb4arv\nbIYG6k91XOBGS8cnydSUiwtNubCQjOm0VFupitfrbTA+KS0txbJlywBUvYKxT58+SEtLQ0lJCVau\nXFmz/Pfee2/4/X5kZmamvN1ERFa8DY/fiIhaSKpjlNp1r1y5Ejk5OUmre8aMGbjzzjubVcc111yD\n8847LyEtPT295v9wOFxv+YqKipr/MzIymtWW3r17J3w+6KCDcOGFF+KQQw7B999/j1NPPRU//fQT\ndt5552ZNxylpN1Ydcsgh+Pzzz+v8/pFHHsH111+PCRMmYPLkyRgyZEjC95s2bcL06dNx5513okeP\nHvjf//7X7IVKRERERNu36gsAlvPmYkX1hYPav45oyem0lTrai913373e+OTll1/G+eefj0MPPRS3\n3XYb9t9//4QLSoWFhZg5cyb+/ve/Iy0tDc8991yDr0ghIiIiom1PMi9cOC8u1P7sVH1xoSnnwJMx\nnZZqK1XJyMioNz5ZuHAhJk2ahL322gtTpkzBmDFjEp5SXFFRgVdeeQU333wzotEonn32Weyxxx4t\n0XQiIiIiakE5OTmNeqtHQ/Lz88Wr8xorLy9PpNVuo/a9Vj4UCiEQaP5Df5w6duyIhx56CIcccggq\nKirw1FNP4bbbbkvqNJJ2Y1V9nnzySVx22WW4/vrrcc8996h5unTpgptvvhmHHHIIDj74YJx00kmY\nO3duSzSPiIiIqH2zrdQ/PaBW/cm8cFF9Yr/2Lx7q0pyLAcmYTlupg4B33nkHJ598MiZMmICZM2eq\nv9DPycnBJZdcgiOOOAIjRozA2LFj8dlnn7l6WhgRERERNUMLxyfJvHDhvLjQsWPHOvNWX1xoyrST\nMZ2Wais1bNmyZRg7diwGDRqEd999V301YygUwqmnnoojjjgC++23H8aMGYMlS5agS5curdBiIiIi\nonYm1TFKCus+44wzcOSRRzarjh122EGk7bbbbjX/r1q1qt7y1d/XLpNsBx10ELxeL2KxGL7//vuk\n15/yG6sikQhuuukmdOrUCVOmTGkw/3777YczzzwT//3vf/H+++9j9OjRqW4iEREREbWgZF64qD6J\nXFJSgrKysjp/ZR2Px7Fly5aEMi09nbZSBwGTJ0+GYRh46KGHGnztSd++fXHttdfi5ptvxsyZM3HO\nOee0UCuJiIiIaFvjvLjQr1+/OvOuXr1alGnJ6bRUW6lht99+O0pKSjB16lT1pqraOnfujDvuuAN/\n/etfMXXqVNx1110t1EoiIiIi2hZ16NAhJT+QGDhwIDweD+LxOBYvXozzzz9fzVdaWoqffvoJADB4\n8OCkt6OaaZo15/obOuffpPqTXqPDt99+i02bNmHYsGEJj66tz/777w8AmDdvXiqbRkRERETbuP79\n+9f8v2LFijrzrVq1qubVeLXLtOR02kod7d2WLVvw9ddfo2/fvujcubOrMoxPiIiIiMiN2hcKFi9e\nXGe+n376CSUlJaJMS06npdpKDZs/fz78fj+GDh3qKj/jEyIiIiJqbdnZ2TjwwAMBAG+99RZisZia\nb86cOTXXKo499tiUtWfZsmWIRCIAgN69eye9/pTfWLVx40YAQDQadV2mOu+GDRtS0iYiIiIi+pNh\nWy3ylwr77rtvzf+ffvppnfk++eSTmv9HjhzZKtNpK3W0d4xPiIiIiNq2bTk+2XPPPWtO4r/++ut1\n5nvttddq/m/KxYVkTKel2kr1q6ioQHFxMSzLgmW52y4ZnxARERG1rG01Pkm16qdUbdy4Ef/5z3/E\n99FoFHfffTcAoHv37jj66KNT0g7LsnDTTTfVfB43blzSp5HyVwF26tQJAPD555+juLgYWVlZDZaZ\nP38+ANT7XndKDrNkM0xPZeMLGmb9n+tIs01lkzM9Mp9HyefxK2mJT0GzlTxxyxZpMSUtLpPUslo+\nNwxDpnmURJ+yKL2mzKfuvFY8cZrxiJJHv1vUFXX9yTTbG0j4HLPlTIVjckFGlIUbicsDSUw5tliQ\nZU0kLjePy2Ub9Mi0gFcW9nvktmsod+MaceXCrYsDpLa/GOr+Ird7y3a33TuTlMUBQ9lOtWVpxmRf\nYmhpkXKZ5lxGyrbrdlChLTdtGTm3UwCAL5iYR9kh48r27LZPUbKpnOtB207VdeXoAwB9+zO0fkDt\nLxKXubYObK3/1x6xqeXT+nVlG9fyOZevtg6iyiYTV/YNpZtR8ylJYl9ryiGiqFKuN3Jvv/32Q5cu\nXbBp0ybMnDkTF198sZpv5syZAKp+RXHooYe2ynTaSh3tXXV88ttvv2HlypXo06dPg2UYn7Qcw4rp\nx6na3J5ocHbcLsupY47mpDkpF8zaysmTZh3X1bIu4j+X5ZTwwXUM52asFtXyqHXJaapllYFDRJmJ\nqGN7qFQmoNUfVQYwzclnuVhGWozRHKYWZyhjXNMx8PWpY2MltlaClqAS12n1afGfz7Ev+L1aPK/N\nkxLPa0Njpaxen7Mud/GatmyVWdD7YK2Pcp5/cFtOrWs76Bc1TTx3pqwWvR1qmlbaRbnaXzfnvBEB\nAM477zzcdNNNWLJkCebOnSsuHhQWFuLhhx8GAAwdOhRDhgxptem0VFupbqFQCGlpaSgvL8cHH3yA\nww8/vMEyjE+2TYZ2Ms/FyUJDOwdtKWnaOTWXnGUNUznHqNTv8Snn7KLKOcYktQsATCXNUI7NWln3\naS6Op82gXndS0xyfXZybBPTra+q1Bn9QpMEr3zzkS0/M5wnK9e7LUNLSZV3BoGxHhhIDRSztvLyc\nV+dYO+LyBLw2Nk5XBtEZysA9QxlEO+dLm3dvSM67tiy1NCMg15W2/pzrWdsW3J73Vs+Zu9x2k0nb\nH13vyx5n3ybXp9an2M3oTzWij9X69eb0bUp9yWyb+7pS23dS23TyySfjwQcfxBdffIFrrrkGoVAI\np59+OjweDzZs2ICLLroI3333HQDgrrvuQjAo+64XX3wRf//732vyjB8/PuH7b775Bg8//DCOP/54\nHHjggQmvNYzFYli0aBFuv/12vP/++wCACRMmYL/99kv6vKb8iVVDhw5FdnY2SktLcf7559c85qsu\nL7zwAl5++WUAwOjRo1PdPCIiIiKy7aqLXCn9S02QbZomrrzySgDAZ599hueff17keeONN/Duu+8C\nAC677DL4/fIExZYtW7Bq1aqEV+glezptpY72rlu3bujfvz9s28ZZZ52F8nJ5w29tH330Uc3FJMYn\nRERERC1gG45PAOCKK65Ar169AACTJk3CnDlzar5bsWIFxo4diw0bNsA0Tdx3331qHf/617+w++67\nY/fdd6/zNX3JmE4y6qDmq44zLrvsMmzatKnevD///DNuvfXWhHJERERElGIpj1FSe5NiqhiGgVdf\nfRW77rorwuEwzj77bHTo0AE777wzevbsWfNk3BtuuAGnnXaaWkdBQQF++eUX/PLLLygqKhLfl5aW\n4sknn8Txxx+P3NxcBINB7LzzzujduzcyMzNx0EEH1dxUdeKJJ2LGjBkpmdeU31jl9/sxefJkAFV3\nm+2zzz7/n737DpOiytoA/lZVxwlMICcFI2LEhGlFMQIqoiiuWXRdZVXWjDliAANmcUXXgDmhghnT\nqhiQrCKKgEiGmWFSx6rvj/mmna5zhqmZ6R4GeX/Pw/Mwp2/dupVu3VNdXYVnn30Wy5YtS5WpqKjA\nxx9/jFNPPRUnn3wyAGD33XfHoEGDst08IiIiItrEjRw5ErvssgsA4IwzzsANN9yAmTNnYtasWRg9\nejROPPFEAMD222+PK664Qq3j/PPPR8+ePdGzZ896X6eQifm0ljo2d9dffz0A4LPPPsMuu+yC8ePH\nY9GiRXD+P4GNRCKYNm0aLrjgAhx66KGIRqPo1q0bzjrrrI3ZbCIiIiLaBOTk5GDy5Mno0KEDSkpK\ncMwxx6C4uBjdu3fHdttthy+//BKmaeKBBx7AQQcdpNaxatWq1JcL9f0QIBPzyUQd1HzXXHMNTNPE\n/PnzsfPOO2Ps2LH46aefUj/6icfjmDVrFq699lrsueeeWL16NXJzc3HppZdu5JYTERER0eauc+fO\nmDFjBq644gp07twZ5eXlWLJkCWzbxv77749JkyalXgfYFH369MEzzzyDU089Fd26dUM8HseSJUuw\naNEiRCIRdOjQAUOHDsV7772Hl19+WX0qViZk/VWAAHD55Zdj7ty5mDhxImbOnJm6G82yLPh8PkSj\n6a+K6tGjB1577TVYzXjcHBERERF55DjZ/0VEFusPh8OYMmUKBg8ejOnTp+Pmm2/GzTffnFZm5513\nxqRJk5Cfn79R59Na6tjcnXTSSZg1axbuuOMO/PrrrzjvvPMA1DwRLBAIIBKJpJUvLi7Gm2++yfVJ\nRERE1BI28fwEAHr37o05c+bg+uuvx0svvYSSkhKUlJTAsiwccsghuO6663DAAQe0ivm0VFupfn37\n9sWjjz6K8847D6tXr8YVV1yBK664AoZhIBgMivwkGAzipZdewpZbbrmRWkxERES0mcl2jrKJPrGq\nVl5eHu68807ceeedWLt2LcrLy9GpUydPNzmddNJJqR9xdO7cWXyem5uLU089FaeeeiqAmtf/rVy5\nErFYDIWFhWmvBsymFrmxyrIsPPvsszjooINwyy23YMmSJQCAZDKZ9qqVcDiMM844A7fffjsKCwtb\nomlERERE9BfQtWtXTJs2DRMnTsTrr7+OhQsXwnEc9OjRA4MHD8Zpp52GYDBY7/QdOnRIXZT2+eof\nIjd3Pq2pjs3d7bffjr59++Lqq6/Gjz/+CACwbTvtSwufz4fjjz8ed999N7p27bqxmkpEREREm6AO\nHTrg0UcfxSOPPIJVq1YhGo2iU6dOnl7Vfemll+LMM88EAGyxxRZZm08m66Dm+cc//oEdd9wRl1xy\nCb7++msAgOM4afmJYRg47LDDcO+996J3794bq6lERERERPVq27Yt2rZt67l8YWFho+4N8vl8G+Va\nfYvcWFXrnHPOwfDhwzFt2jR89913WLFiBRKJBIqKirDjjjviwAMP5A1VLcwoWwUD1RsuZCpPDnPF\nDFN5q6TlFyHHksm441e+9PPJuxfV+zTN9F3YMQxRJJawZcyWtUUTMhZXyiWUmDtkymZAaRoCSsGA\nJddlSDlSTZ/cLpaRSA84ctmNRExWZidlTKNsU/i1bZW+TZPq+pZtq4jLWGVMKRdLiJi2rdyCyrrN\nD8r1GPbLcrlJWX+OUi7Hp1xwUu4yNpLKdnCXUbafg8w+yc+9CxrKjupX9lMzHhExI1ohy0XLlVil\niDlV6e/MdaKyflvZTw2lfzLCuXKeoTxZX0g+dcR292X+sCij7AqIKUGtnLabav2FTwu6p1N6RSMR\nlbGYfGWAGVf6fWWfNJLuPkVZAGWfcSyl09L6f5/s/51AjoyZsj7H9TZjpftQt0ss6e2ckFC6xaSy\n/LYrplQvyritr/bYB2dT7Xu8sz2PLPP5fDjjjDNwxhlnNHrahx9+uEXm09rq2Nwde+yxOPbYYzFj\nxgxMmzYNy5YtQyQSQUFBAbbffnv069cPHTp02NjN3Lw4Tnp/ofWh2hhX62PcMS9lAMD2WL82hvbS\nNq/t8NhvqmNGQ8nPxISyjKFNp8S0c7OaN6pjY1cOp+WN2vhC2Re03EzLC/QxgeOhjFy3VXG53cuj\nMqaVq1Zi7nKVSpmKiMx/qmNKO7RySn1qjqwMftw5m5bXNYeljHmDPrm/BVy5b0ApE/bL/S8nIGN5\nSnKtxXK1+lwxdZ5KTMs5tXLatYCApV0zSI9ptzxoMVOpSzvWtD7FSMZlhXb6/ub1WoNhy/00k/1i\nk/tEoHn9opdyWt+m9qdNb4enthkN5HWt4ZfSf5H8pJZhGOjYsWOjpmnfvj3at2+f9flkow5quv32\n2w/Tpk3D/Pnz8b///Q9LlixBVVUV8vLysPXWW+Nvf/sbn1LVwkzDgFmnj7Q9nlLUi4Ba/a7xkKON\nqRXqNVElZmnj8QzSTuuWX85Tu67rhaksk6kskxpT2qGV09dl+nZxb6fG0MbQWkzLY6LJpKuMbKuW\nx/i179cC8jq3mSuvj5v58qkfwcL06/6htvJ6czIix4KJarmDOB6PjUCVHH+GlfFstWv5teu3GksZ\nl2n1FyjfAbXJkTlsbsf07yRy2slr3Lkd5PoOtS0QsWChLGfktBExbfu5t7Oj7AtxZZ/xsv/VV87r\nPu6Fdqy5j8eamLe+wV1OK+Mo14A0Te3HANmX6e2X+1Vz+jat//faB3op47Vf9L5NXf1unWNUy1s3\nimznKC2Yn1DTtOiNVUDN6zX2228/7Lfffi09ayIiIiIiIqFPnz7o06fPxm4GERERERERtt9+e2y/\n/fYbuxlERERERPT/WvzGKiIiIiJqXQzY+tNYMjwPIiIiIiKihjA/ISIiIiKi1iTbOQrzk9bP64NL\niYiIiIiIiIiIiIiIiIiIiIiINhsZu7Hq/fffx0033YT169dnqkoAgOM4ePXVV3HDDTdktF4iIiIi\n+n+17wfP9j+iFjRnzhxcfPHFWLlyZcbrnjp1Ki666KKM10tEREREYH5Cf0nr16/H6aefjl9//TXj\ndc+YMQOnnXZaxuslIiIiov/H/GSzl7Ebq9avX48bb7wRPXv2xOjRo7FixYpm1ReNRvHSSy9h9913\nx9ChQzFv3rwMtZSIiIiIiP7qotEoxo0bh6222gpXXHEFFi5c2Kz6kskk3nnnHRx00EE45JBD8OWX\nX2aopURERERE9Fdn2zaeeeYZ9OrVC+eccw5mz57d7Dq/+OILHHfccdhjjz3w1ltvZaCVRERERESk\n8WWqor/97W8YNmwYXnzxRVx77bW44YYbcNhhh+GUU07BQQcdhG7dujVYR3l5Ob7++mu8/PLLeOml\nl1BaWgoA2HHHHXHBBRdkqqlUR2LNciSidZ4yZlqepjP8/vS/fQFZJhCSsXCuiJl2QsTUezKVtjnp\nzUDCdkSZmBKriss5VMe1cklPsbgyDze/aYhYjl8uU25AxhK2t3sgc13bwUhEPU2nvhNWialLaTXc\njSSVCbXtUh6V63ZlZUzESqrjIqZtF9tJn4e2DdqE/CJWHJaxDrlyH9e2e9JRtqlfHguWe3+2Zfs9\nU7aVqB+AacjlF9PZct0a0WoZi5TL+qvLZNPWrxGxeMlqEbMrStOnU+apMYJh2Y68QhGzitrLaS25\nnQ2/rM/NcbTtLst56RcAfbu4d9WApZSJVoiYul0i8kmShjKtXV0pYk4ifX9wlP1U7f+DSv8fypPz\nDMpzgsYwlX7GCqa3TdkusaQ8NqLKxookZDmtT9HKxV31ed3udVUo/VyLa4lfRPAXF9TCevXqhfPP\nPx+PPfYYxo4di7vuugv7778/Tj31VBx66KHYeuutG6yjuroa06dPx+uvv47nnnsu9eORLbbYAqNG\njcr2ImyeHKfmX+pv2Xd4HbvCnWfYSl1KLgLlnKKWU6dV5pF0lVPqb9ZyKhoe9QEwZI7hqOdcJUdU\nyjmWMiZQZuv4m/b7Lu0Um9TyP+VcH00o53/XOKEyJs/9ZRG5jStiWkxOWxqR4+qyKhlbW5E+DihT\ncp3SKjlWKFfqikVl2+JKjpVQxjlaLOlab46yvrWYxlByMS1m+WTM58qb3X8DgD8oY4Gg3E/zc2QO\nUJgj990CJSdsm5derkCrS8kvK2KybQVKuTzlWoB2fcBxGj6GtBKWsr490/qohGu/TCq5ZFLuu2p/\nmlTyDI99rBfqkmt9oBLTykHLrbVrI+5ptT5WOyfYsn61fza9tdedT+lHbZ3ptDa1NOYn9BeUn5+P\n6667DnfffTcmTJiACRMmYNddd8Vpp52GI488EjvssANM7biuIx6PY/bs2XjrrbfwzDPPpH48Ulxc\njJtuuqklFoM8MpXzrpKOiJO24fX7GWWMbkKOaTJJa5sW064fmurCa/PwMM5RrkVayjViX0C5bqxN\n65PnWPf1Wm3c6pWasyjXGKNKzH0tUs11lFg4lCNiRjBfxKy8tiLmaxsRMbjGfXnKNVeNYcntGciT\n4+Bgm6CIhUtkOwrXy++7EtXpY0ZHu1Cvtk3JO8JyX9DaFmwj96OcdunrPLeDXN85neT6zusqv7fw\nt+so29a2k4hB2X62azvbAbkvRCPyGNX2Le1auLafavuztt97oR1r2vcn2nGbVI5vrR/w1g6573rt\nx7zUp/WdWv+k9vVqPyZjan1aP+6ah+fptBzfw3eQm7Rs5yjMT1q9jN1Y1bFjR7zwwgsYOXIkLrnk\nEkybNg3vvvsu3n33XQBAly5dsNdee6Fz585o27YtCgsLUVlZiXXr1mHNmjWYPXs2fvjhB9h1OqYO\nHTrgxhtvxLnnngtLu5hLRERERESkyMvLw8MPP4wLLrgAl112Gd555x3873//w//+9z8AQNu2bbH3\n3nuje/fuKC4uRnFxMaLRKNauXYt169Zh3rx5mD17NuLxP78ozs/Px5VXXolLL70UoZC8iZSIiIiI\niEhjWRZuvvlmnHvuubj66qsxceJEzJo1C7NmzcJll12G/Px87LXXXujZsyfatm2L4uJiJJNJrFu3\nDuvWrcP8+fPx/fffIxL582aDQCCAESNG4Prrr0dRUdFGXDoiIiIior+2jN1YVWvffffFV199hS++\n+AIPP/wwXnnlFcRiMSxbtgyTJk3yVMd+++2H8847DyeeeCKCQXk3MBERERERkRe9e/fGlClTMHv2\nbDzyyCN49tlnUVFRgbVr1+Kdd97xVMfOO++M8847D6eddhry8+WvDomIiIiIiLzo1q0bnn76adx0\n00149NFH8cQTT2DNmjUoLy/H1KlTPdXRs2dP/OMf/8DZZ5+NDh06ZLnFRERERESU8Rurau2///7Y\nf//9cf/99+PDDz/Ep59+is8//xyLFi1CRcWfryAKBoPo1KkT+vbti379+uHQQw/Fdtttl61mERER\nEZEbX7VBm4FddtkFjzzyCMaMGYOpU6fi008/xWeffYZffvkFZWV/vs7W7/ejQ4cO2GOPPdCvXz/0\n798fu+2228ZrOBEREdHmhvkJbQZ69uyJO++8EzfffDM+/fTT1L8ff/wRJSUlcP7/tZyWZaFdu3bY\nZZdd0K9fPxx88MHYZ599GnxtIBERERFlEF8FuNnL2o1Vtdq2bYthw4Zh2LBhqVgkEsG6deuQl5eH\nNm3aZLsJREREREREAGpe5zd48GAMHjw4FYvH41izZg1CoRBfoUFERERERC0mGAzi8MMPx+GHH56K\nJZNJrFmzBpZlobi4mDdRERERERFtZFm/sUoTCoXQpUuXjTFrcrEry2Ab8Q0XMi0RMlzJnBEIyTLB\nsKzKTjZYFwAYfvkKSEdrm2Gk/Zm0ZalYUsaq4zK2rlquh5KIjFVEEyIWSTZ8F6lfWc4cv4wVhf0i\n1i4nIGK2I5fBQPq2yvXLbQBbth/adsngnbHKZkFcCVbFZTtKlO2yojwiYusqYrK+WHp9lmmIMvkh\n2Q12KpD7c5myL3TOl/tpsbL9Ykl5DIV96bGQT05nanu9sl20bWVo+6S2nZPp682IVsp2RNbLusrX\niFBizQoRS65dLmLx0lIRi61Pn6+jtN8MyG0VyM8VMb+ynGZYljOTDfR99dD2Zy2msQy5D/qU/TJo\npcesaIUoY1aVeIrZpatFLFFeKmJOldzOTqLhdaT1/2auvGnazCuUsQJZn23K7Wwo/ZZhpR9/Wo+l\ndP/qOaE8KvcZrT/SYlHXvmorO4PWjroqlf6lxdl2zb9sz4OolfL7/ejcufPGbgYB4tdf6pjUa8zV\n72jnE2hjanW8rJyLtHJJZbzlLqe1VRmXOFq/qYxzPHPldWoeZsl5Oo5ybtauJBiyPkfJJcXyK9tA\no+V62jk2oZTTco9IPL0dFTG5bsuU3G+9ct7WcpbV66MitrZS5ixrK9LLlSl5TaRK1h9R6opVy/bG\nlGWIR+W0yWi1iNmJ2Ab/BgDH4z5pqNcVZMwKyBzWcl1b8AdlfhwIKrlCWMaqcuW0ZTlyuQryZDn3\ntYC2EVkm1kYeQ3ElR/RKyx/cMeWwRVLJMbRjCJYsp/LQ76pjdq2fVHIMvT/Ncr/o4VoXAMBStp/S\n36l9mZU+D62307aA4zEncrTLupbWNte20ua5gfIbBfMT2sxZloWOHTtu7GYQAMM0YNQ5r5raqcjj\nfW9aMXdXZPmUMbXt7XztmE3PFdzjMls5T9raNVe/HA9p40NHyZM8tcuS7TB9cp6WFvMwrgQAUzl3\nGq6xlPvv+ujfT8mdJpaQsWhCriN3jlKp5CwBZTynXW/Oz5E/ItPybW0/9blzSeV6sC9HrttgYZ6I\nhdfKa9C5peUiFi2V18NjlXJ8aLvWSVJZRxpD2e4+JX8I5MqxYKBNjoiFitMvdIfayuvj4fbFIma1\n7aTE5PUpo0iWs3NlfbZrO1fE5DaujCsxZb1pObK2n2r7s3u/V3MRhXasmUq/qB232vHtJV/V8lI1\n921iPwbIvsxrfmxqMaW/U6dVyml9tntay6fkIsp2MZRc1fS4/TSmUX+/67UPzrps5yjMT1o9/tSB\niIiIiIiIiIiIiIiIiIiIiIjIZaM8sYqIiIiIWg/DcTL6pML65kFERERERNQQ5idERERERNSaZDtH\nYX7S+vGJVURERERERERERERERERERERERC58YhURERHR5s6xa/5lex5EREREREQNYX5CRERERESt\nSbZzFOYnrR6fWEVEREREREREREREREREREREROTCJ1Y1kW3beP311/Haa69h9uzZWLt2Lfx+Pzp3\n7oy9994bZ555JnbfffcG61m7di3Gjx+PyZMnY+nSpQgGg9h2221x0kkn4ZRTToFpZvfeN6e6Co7V\nwDs7TUvG/P6GK1emcxJxTzHYHu/KNNLXTzwpi8SScvmqlIJl0YSIlVTLtpVGZKwikj5t0pbzDPjk\ntswLyUMwmpDLHleWAflBEbJMI/3voKw/5M+RdWnrO6nse4ahxBreRx3lvbDaq2IjyrJHE3JbrauI\nidjysoiIlVall9O2S05A7qeryqMi1rkgJGLaPtM5T26XDrkyVhBKn2+uX7Yt7JPrO+iT7TUSsh1G\nQi6DEa0UMTNWkR6oLBVlkmuXy9jqP0Qsumq1iFWtKpHlSitELBlJb69hyf3KnxMWMScp9xlfXp4s\nl5D7TCaZyqFhKseLpZQLKdvZn3Stj+oyWX+VXLfJNctkTNl+dnmpiMUr5P7hXr/adrFCARmLyeNR\nYwTlcYWA3M6w5T6urV83rZ/R+tO40gdGlX1Ljbn6rbhSRuvC66qKt4JfIjiOvsIyPQ8iyqqPPvoI\nzz33HL7//nusXr0ahmGgffv22H333XHyySejf//+DdZRXV2Nxx9/HK+//joWLVoEAOjZsyeGDBmC\nc845B6GQ0ndvyrRfg3mNaWNoL9MqZRytLltJbrSYV65pHZ88hxuQuY6hjPfV9prasnvo+5VzujaZ\nVpMyvFdjCSXozj30XETGKpVc0p0PAkC5kiu48xMAKHPlNpEquQ0ilXI6rVxMyV9jleUilojI8Xhc\niSWj1Wl/O8r+p+4LCkO5tmEo1wysoBwL+lzjw2ROgSiTCMscwM7w2MOdb2s5fjgil0krp+V1QZ9c\nl0FLibnqsx15DGnHgbY2sj48U/YPw2Mfq+5bWc7rtNWh9YuwlGti6nnCtW2MZpxzDOXa3F8Z8xOi\nv4TvvvsOTz31FL755hssX74cyWQSxcXF2GWXXTB06FAce+yxMBq4vpNMJvHss8/ipZdewoIFCxCN\nRtG9e3cMGjQI//znP1FcXJzVZTBMA4Z24a8OC8p41pB9jG3KmOE6aTvKSdxW6jJMeS5KJpTrxsp4\ny/TLPMCOp59jTSVX0MeCTY9ptPa6aW1TY8pyWj75fYmljNW0mBfa9w8xJafQ8of1IRlzjxmD2jVz\n5YKztss6jpw2P7+DiFnaunSNx/1t5HFnFSl1tV8rYjkVpSKWVK5VJyrl9eV4ZbWI2XHXd3MxuR41\n2nVun3Kd2xeS3+3428jv2Kz8wrS/zbxCWaagrYiZhe1FzA7LfCepxuQ8yqPpx9r6mJK/KrF1Si5Z\npu2nSp6r7c/u/V47NrwylR3ap3yv5ziyX3Ts9H1X7ROVHMP2mHc0tW/T2tGsmKUsl3bNR1t+1/o1\nlWND2wbauVGLad/jNHRedZfxUr5FZDtHYX7S6vHGqiZYuXIlBg8ejK+//lp8tmTJEnz99dd48MEH\nccEFF2DcuHH13hz15Zdf4vjjj8eKFSvS4gsWLMCUKVMwfvx4vPXWWygqKsrKchARERER0aavqqoK\nf//73/Hmm2+Kz5YuXYoZM2ZgwoQJGDJkCCZOnIhwWLmJFTV5yNFHH4358+enxX/77TdMnToVDz/8\nMN566y1svfXWWVkOIiIiIiLa9CWTSVx00UV4+OGHxWfLli3D3Llz8dxzz2G//fbDG2+8gfbt5Y0F\nQM2P0o8++mh89dVXafElS5bgiy++wIMPPojXXnsNffv2zcpyEBERERHV4qsAG8lxHBx33HGpm6oG\nDRqE999/H7/99hvmzZuHp556Cttuuy0cx8EDDzyAO+64Q63nt99+w9FHH40VK1agffv2+O9//4vf\nfvsNc+fOxZVXXgnTNPHFF19gyJAhsL0+vYmIiIioKWrfD57tf0SUFf/85z9TN1Xts88+eOONN7Bg\nwQL8/PPPePXVV7HnnnsCAF5//XX861//UusoKyvDgAEDMH/+fOTk5OCee+5J1TF27FiEQiH8+OOP\nGDhwIMrL5RNwiIiIiDKG+QnRJu3WW29N3VTVq1cvPPvss/jhhx+wcOFCvPPOOzj88MMB1PzwfOjQ\noWodyWQSgwcPxldffQXTNHH11Vdj3rx5WLhwISZMmIC2bdti2bJlOOqoo7B48eIWWzYiIiLaTDE/\n2ezxiVWN9NVXX+HLL78EAAwePBhvvPFG2ue9e/fGEUccgV133RUrV67Evffei1GjRomnVl155ZVY\nt24dgsEgpk6dip122in12R133IGOHTvikksuwaeffoqJEyfitNNOy/qyERERERHRpmXFihV47rnn\nAAB9+vTBp59+ikDgz8d9b7vtthgwYAD69u2LOXPm4Omnn8add94pfhV+55134tdffwUAvPLKKxgw\nYEDqs8suuwzbb789jjnmGPz888+46667cNNNN7XA0hERERER0aYkkUjgvvvuAwB06dIF//vf/9C2\n7Z+vv+rZsyeOOOIIHHXUUZgyZQo+++wzfPvtt9hrr73S6nnqqafwxRdfAADuu+8+XHDBBWl17LHH\nHth7772xZs0aXH311Zg4cWILLB0RERERba6y+sSqRCKBRYsWYfbs2fj555+xdq18n+6mZu7cuan/\nn3XWWWqZjh074qijjgIArFmzRrzqb+nSpXjllVcAAOecc07aTVW1Ro4ciR49egAA7rnnnkw0nYiI\niEhlOHaL/CPa2GzbxtKlSzF79mzMnz8fK1eu3NhNarYffvgh9YTbU045Je2mqlrhcBgnn3wygJpf\nfv/4449pn8disdQvyo844oi0m6pqHX300ejfvz8A4IEHHkAikcjochARERHVYn5CmwvHcbBy5UrM\nnj0bP/30E/744w84jrOxm9Usy5YtQ0lJCQDgmGOOSbupqpZhGGnfrcyZM0eUuffeewHU/FBEe+ru\nrrvuijPPPBMA8MILL2D58uWZaD4RERGRivkJZeWJVa+++irGjx+PTz75BPF4PO2zoqIi9OrVCwcc\ncAD69euHQw45BKFQKBvNyIqioqLU/4PBYL3laj8zDAOFhYVpn73xxhupBKn2Cw430zQxbNgw3Hnn\nnZg5cyYWLVqUutEqo0wTMK2Gy4hYA9M0qg1Nr8sxmnZvYFJJUG0lFk/KTqw6lmwwFkt46/y8ljNN\nQ8RCPrnsPlc5y5DTWcp+69d25UTEU9tgym7EEdtUrjONpSynV7GEnEdFJP0Lv3hUfgG4XqlrbUVM\nxNZVREWstCouYuXtcmRM2Wc656Wv9Pa5flHGduSxYZlyPw0o+64RrRQxs6pExJx16RcdEqv/EGXi\nq5aJWNUKeaNs5XIZi5ZWiFisUq43N39I7leG0hc5yjGqUvoZrf/w0qdou6n72KuvXMCSwYAt9zez\nutT1d5kok1y3QsZKVslYmdwuMWW7xCurRcxxvYrWCskv6zVmSC6TE5cx2PLYaOrgsbVcd9T6a9gb\nbpyyWxBRhk2dOhX3338/3n//fVRXp/d3eXl52H777bHffvuhX79+OPzww5Gfn7+RWtp4jc1PAKC4\nuDjts6lTp6KsrOZcU19+AgB///vfMXXqVJSUlODTTz/FIYcc0tRm188wa/79P60HVbtN7fzhHjs4\nynneUOagjQe0mJYnKSckxzVeNmw5JlXHObL2jNLm6XXMpC67ut6UreVhvKXlZhrti8emjgm8zlOT\nbOBcvyHq2KGVMFz7g6OM3TJZf3PKZXo9bozt0tR9UJtM/1JeLpM2T8trH+iF1rfZMqatbbVfzPK1\nKLVftGSu3uTzhNfpmnMe0rimVfv1urGmbm8i8mzmzJkYO3YsJk+enBqH1wqFQth2223Rt29f9OvX\nD0cccYR42mxrlon85Jdffkn9wP2kk06CoY0pUZOfPPbYY7BtG2+++Sb++c9/NqfpKsN0jQuUMYLt\ncSxoKWc8x5WP2Mq1X0Op31Fi2npylBzIseV1V9sXcJWR4z7PsWTmxoyGpZ2vvcV8AXkOtyzlOxW/\nnNZ0Xawz69kH3bTve6pjMv8rj8p5hpXvGgKu74C0a4j691ryGm4sKOcZScpp8/xtRCynqCDtbzNX\nfvdg5Ml+ytdBXoM2Yso16OpyEbOr5TycmPzOynF9B61db1Zp+5Ff7jNGQH5/bYZzZblw+nUkJxAW\nZexAnoglQvL6kx2Q9Vcl5LaqqJL7VlU8fR8sj8r1saZKXqcvqZb7X1lUiWnfiSnfu7n3e8/fhSrH\nmvt4BPRj2VZicN1/kFC2u+mXx0tr7tu0mJa/GlpMW7+ucup06vdf3spp1Po2MK2SQhJtFBndFW3b\nxsknn4yhQ4figw8+EDdVAUBJSQm++uorjB07FkcddRQ6deqEc845Bz/88EMmm5I1BxxwAMLhmhPi\npEmT1DLV1dV4//33AQD7778/cnLSb7T4+uuvAQB+vx977rlnvfPaf//9U///5ptvmtVuIiIiIqLN\n0ZVXXolDDjkEkyZNEjdVAUBFRQWmT5+OBx54AEOHDkXHjh1x0kknYdq0aRuhtY3Xu3dvdOnSBQDw\n5ptvqmUcx0l91r17d2y//fZpn9fmJwCw77771juvuvlJ3WmIiIiIiMibRx99FHvuuSeee+45cVMV\nAEQiEcyZMwePP/44TjvtNHTp0gWDBg3ClClTNkJrGy8/Px99+/YFALz33nuIRuWPVYGaH58DQG5u\nrshBvOYnffv2hfX/X04zPyEiIiKibMroE6vuu+8+PP/88wCALbbYAkOHDsWWW24Jn8+HWCyGdevW\nYcyYMWmD6bKyMkyYMAFPPvkkTj31VNx7773iFwqtSefOnTFmzBhcdNFFePTRR9GmTRtcdNFF6Nq1\nKxKJBGbOnIlRo0bhl19+QVFRER544AFRx08//QSg5ksN7VUdtbbaaqvU/92v6yAiIiLKGMfWn/aS\n6XkQtbDXX38dY8aMAQC0a9cOJ510ErbaaiuEQiHEYjGUlJTgkUcewapVfz7xr7q6Gi+++CJefPFF\nDBo0CI888gi6d+++sRahQcFgEI8++mjqxy1nnHEGrr32Wmy99dYAgJ9//hk333wzPvnkk1RZv+tX\nmLX5iWVZ6NmzZ73z2mqrrWAYBhzHYX5CRERE2cP8hP6iZs6ciX/961+wbRu5ubkYNmwYevfujZyc\nHCQSCZSUlGDixIn4+eefU9MkEglMmTIFU6ZMwT777IPHHnsMO++880ZcioY99NBDOPTQQ/HTTz/h\n2GOPxW233Yadd94ZlmXh999/x7hx4/DEE0/AMAzcdddd6NixY9r0tfkJAGyzzTb1ziccDqNz585Y\nunQp8xMiIiLKrmznKMxPWr2M3lj12GOPAQBOPPFEPPvss+KCPQDcf//9iEajePbZZ1FcXIy3334b\nr7zyClatWoWnn34aU6dOxWuvvYa99tork03LqAsuuABbb701xowZg7Fjx2LMmDEIhUKIx+NIJpPI\nycnBKaecgptuuin1hUZdtV/cdOrUaYPz6dy5c+r/q1evblQba99jriktLW1UXUREREREm6La/OTA\nAw/E22+/rb7i74033sCqVatw5513Yq+99sI777yDl156CYsXL8bkyZOxyy67YOLEiRg4cGBLN9+z\no48+Gp9//jlGjx6N559/Hk8//TQCgQAcx0E8Hoff78cxxxyD6667Tn1ibm1+0rZtW/h89aeIwWAQ\nhYWFKCkpYX5CRERERNRIEyZMgG3b2H777TF16tTUk2frmj17Nn7++Wecd955OPPMM/Huu+/ipZde\nwg8//IBp06Zhr732wgMPPIB//OMfG2EJvNljjz3w7bff4sYbb8Trr7+O3XffHZZlwe/3IxKJwDAM\nHHTQQRg1ahSOOOIIMX3dH754+Q5l6dKlzE+IiIiIKKsy9irAZDKJX375BUDNLxK0m6rqys3NxYAB\nA/DQQw9h6dKleOqpp7Dlllti6dKlOOywwzB9+vRMNS1r6i5jJBJB8v/fr2oYBoLBIGxbv7OwoqLm\nvcK1rxSsT93Pa6fxqri4uN5/dZ+ERURERJT6tUW2/xG1sPnz5wMA7rnnHvWmqroCgQAOPvhgjBkz\nBr/99hveeOMN7LzzzigtLcWQIUNa/as3HMdJy09isVjaq9lrb7TSeM1P6pZhfkJERERZw/yE/qJq\n85ObbrpJvamqLsuy0LdvX9xwww2YN28ePvnkE/Tr1w/RaBTnnnsuHn300ZZocpMlk0kEg0EYhpH6\nOxKJpD7f0Js86uYaXr9DYX5CREREWcX8ZLOXsRurTNOEYRjIyclBu3btGjWt3+/H6aefjh9++AEn\nnHACysrKcNJJJ6G6ujpTzcuo22+/HYMGDcIHH3yAwYMH46OPPsLSpUuxcOFCTJw4EVtssQWeeOIJ\n9O3bF1988YWYvvYLjdqkoj51P6/vJi0iIiIiItKZZk26s8UWWzRqOsMwMHjwYHz//fcYOXIkYrEY\nTjvtNKxcuTIbzWy2iRMn4sADD8Srr76Kvn37YtKkSVi8eDGWLFmCSZMmYa+99sIrr7yCv/3tb3j5\n5ZfF9F7zk7plmJ8QERERETVOU/MTAOjXrx8++eQT3H333TBNExdddBFmz56d6SZmxCeffIK+ffvi\niSeeQI8ePfDcc89h4cKFWLp0KT788EMcffTReP/99zFgwADcddddYvq6Pwjx+h0K8xMiIiIiyqaM\nvQrQMAxss802+PHHH7FgwQJsu+22ja4jJycHzz//PFavXo1PPvkEjz/+OC688MJMNTEjPvjgA1x9\n9dUAgBEjRuChhx5K+7xnz5445phjsM8++2DevHk4/vjj8euvvyI3NzdVJjc3FyUlJWm/0NDUvbEs\nLy+vUe1ct25dvZ+VlpamfnVh5hXAzP+zbbCTcgLTajBm+OQTyoxgSMa0cqa8v89RYtqdmoadSPvb\nb8r6/aZMvnL8cpm0WF5QHiJxW/+lf13VMWU9KiylbUml/nhSxqrich7V8fR1FLBk/ZayanP9QRHz\nW8q2cq1vAHBMuY7cy6CltVpOrG2roE9ul3BAi8l2WGYs7e+4KAEkE3LdJhOy5KqEXIqEsq1iSjkt\nZrueGKFtF5+yPsI+GQtox0ZC9i/O+jUillj9R3pbly8VZcqXyC+Rq1asFbFIaZWIxSrkunSSsr2W\na5sauXL/84XkfmqF5K/bjHCuiJkB2R/pfVv6hjCUdetT9nlt+1nKTm7Zcn0YkXIZi1WmB6rXizJO\nRK5vJya3ux2Xx62dlP2HoSyE6TqutG3gy5Hr1tS2QW4bOc+QLGf7ZH2OJbdz0nUMeeiaAejbyq+c\nc/ym3PZBbR25trP72PYkqOyLLa0lfhHBX1zQRrDddtvh119/xcyZM3HYYYc1enqfz4dx48Zh7dq1\nePbZZzFmzBjcfffdWWhp082fPx9nnXUW4vE4BgwYgLfeeguW9We/0r17dwwaNAgDBw7E+++/j9NP\nPx177bUXevTokSpTm6s0lJ8Af+Yo2cpPYBiugaKSKyh1GMr52d3vqD20oZwYtIGqWk6JKecP9xja\nSWrTyfZr4xC1L/Xav7rbq7TfUZdJnqe0HMBrzEs7mkPdfErMfVrXchG/kk+FlPwkLySXU80LcpQx\njTt3UgY1ptI2yyfXm0/JabVYLCqPX39M/rDNjqfnU3YiJso42jUEhaHsR6ZPrg/TL2NWIP1JFQEl\nTw+EZf4QDMtyQaVcQNl++TmyXKFr++Ur7dBy1VxlGwSV7aftg9rY1b0/e7gntlG0fsDQ+gv38W0q\n+4KWqyr9pAMlr9P6U+U6hac+0GM/46nPAgBL6RfV/jO9PrV+j32sO1fV6gfgrW/XcuG0OjK8UzUF\n8xP6i9puu+3w3nvvYebMmdh3332bVMcll1yC8vJy3HjjjbjuuuswadKkDLeyeUpLSzF06FCUlZVh\n5513xldffZX23UjXrl1xyCGH4LzzzsP48eNx+eWXo2/fvvjb3/6WKlO3fCQSSfvbLdv5iWE0fBox\nofSbynldG+cZrnKGdoFL6bYdpZx2TUorp07rijmOttDyPKzVpdGW3QttHOxeZ4B+A542XraUwZVW\nTpuvm56aKd/jKN8VBSLyGrF2LdlN++4oolxr1747KgjJ7VegjGfLlbFr2J/etqAlnyQXyskRsWC+\nfJWnT/m2yEhEZSwpcw8k5XVu0/2dlddrs8r6VnNaS8YSyrVqx5d+3TyhXMuIKt/zRZTvp6KVcjmr\n496+IyyLpk9bpuxr7jIAUFqtlKuSsbUVcrtUKPNw7/d6XyRCKq/5sGPLfVf0sdp299h3NrUfA7z1\nKVrfppZTlsFzX6nE3N9veG2b1/Z6Wfaa+jbwWStITwBkP0dhftLqZfQK5oknnggAuOaaa5pch2VZ\nuPnmmwFA/TX1xvbwww8DqHnK1ujRo9UyeXl5uOGGGwAAK1euxKuvvpr2edu2bQGgwfd+1/28uLi4\nUe0sKiqq919hYWGj6iIiIiIi2hTV5ic33HADEgl54cir2267DUDrzE8ef/zx1Cv/br/99rSbqmpZ\nloU77rgDQM0XE0888UTa57X5ydq1azf4S+9EIoHS0lIAzE+IiIiIiBqrNj8ZM2YMysrKmlzPFVdc\ngYKCArzzzjuNfgVetr344otYu7bmB5k33HBDvTdF3X777fD5am5YeOSRR9I+q81PAO/foTA/ISIi\nIqJsyuiNVSNHjkSnTp3w8ssv45///CdiMeWOYg922203AMDPP/+cwdZlxqxZswAA22+//QYH2HV/\nceJ+JO/2228PAFi8eDGSylNDai1atCj1/169ejWhtUREREQNMxwHhmNn+V/Tf9VD1FSnnHIKdtpp\nJ3z11Vc4/vjjUV4unxLoRffu3VFcXIzff/+91b2uvDY/CYVC2HXXXest16dPH4RCNU8FrC8/icfj\nWLpUPr2y1pIlS1I3XjE/ISIiomxhfkJ/VQcccAAGDRqERYsW4fDDD8eyZcuaVE84HMb222+PeDye\n9h1Ca1CbnwDAPvvsU2+5oqKiVB5SX34CAAsXLqy3jkQigT/+qHkaP/MTIiIiyqbs5yjMT1q7jN5Y\nVVRUhOeeew7hcBiPPfYYdt55Zzz33HOpX1B7VZsMaI/fay20X4LXVftrC0C+33v33XcHUPNr8Tlz\n5tRbx9dffy2mISIiIiIib/x+P55//nm0bdsWb775Jnr16oVHHnkEVVXydaobUlpamnpSU2vNURrK\nT+qWqS8/AYBvvvmm3umZnxARERERNc9//vMfbLPNNvjmm2/Qu3dv3HbbbSgpKWlUHclkEr///juA\n1pufAN6/Q2lqfjJjxozUj/uZnxARERFRNmX0xioAOPjgg/H222+jffv2+Pnnn3HKKaega9euuPDC\nC/H+++83ONCvrKzExRdfDKB1/sqgW7duAIAFCxYgEonUW27mzJmp/3fv3j3ts8GDB6f+735NYF21\nn22zzTbo3bt3U5pLRERE1DDHBuws/+M7wmkj2WmnnTB16lT07NkTy5Ytw4gRI9C5c2cMHz4ckyZN\navApu4lEAhdeeCFs28YWW2yBnJycFmq5N7X5SWVl5QZ/zf3LL7+gsrISgMxPjjjiiNTTrDaUn7zy\nyisAgJycHBx66KHNajcRERFRvZif0F9Y586d8fHHH2P33XdHWVkZrrnmGnTu3BknnnginnvuuQaf\nsus4Dm688UYsX74cwWAQPXv2bKGWe1ObnwDySVR1VVdXp95Y4s5Pdt11V2y55ZYAvOUnQPp3LkRE\nREQZl+0chflJq+druEjj9e/fH3PmzMFFF12El19+GatXr8aDDz6IBx98MFXmoYcewvTp09GpUyeE\nw2FUV1fjp59+wksvvYRVq1YBAM4///xsNK9ZjjjiCHz++eeoqqrCuHHjMGrUKFEmmUzijjvuSP19\n+OGHp33eq1cvHHTQQfjkk0/w0EMPpb7cqeuVV15JPTY3m+vBKu4Iq03enwG7iQetKe/RM3wBGQuG\nlEb4vc3Dlq9NNBLRtL9DQTnPZMDb/YOWERSxHL+ctiAoD5vynPT5VsdlW5Mefz3kV9al1g7TMEQs\n7tp+saScLpqQ7TAht3vSkvVbply/mngyfR7aoltK+/MCct0WhGSsYxu5H8USyjLY6TNe65Pro6JK\nPlHPTno7DioiCRErC8gvZ9dVyGVoE0rf78uCsq7CkDw2ksq6NJSTrZGQ7bAj8ukcdnlp2t/RUnnx\nJlYup4tXRkUsGav/1aZ1+cJyfQRy0/etUNsCUSbUto2IhdsXi5iZVyhiRq6c1lH6KEHpd3yWtz7F\nSMh9y4jLdWnG5SuljLhr/SrtUPvdgDw2fG3kurTCHm8KcM3DDOfKeebIdWsVtJVVtZHbyg7Ltmkx\nxx8WsZirL/Pax1qm7HtCSt+gDZGCPnms2U38YWjdZoQT3vpWImq6XXbZBbNmzcIVV1yBCRMmYP36\n9XjyySfx5JNPpso8//zzWLlyJbp06YLc3FzEYjH8+uuveOWVV1JP1G2t+Untctx22214/PHH1XK3\n3npr6v/u/CQvLw+nnnoqHn/8cbzyyiu48sorU69nrzV9+nRMmjQJAHDGGWdk7QYzx7TgmH/2wdo4\nB5C/fHe0cq5zg2Eo/b0pp3McJU1OyrEaHCWPUc7Z7rYZllaX1g5ljJfBiyyOtj7UdSTXh6PEYCpP\nJLAanlZth0faed1STs5+pVyOP729HlMANQ/zK7lTOCDXR56S2xSEXXlBnhxDVkRkrFTJY6JRuW8l\nYnLB4kq5ZDJfxlw5lq0lI81gajmnMi6zXONvv5KT+5S8P6iUK8yRx22ekne5t4s2bYFSV74yTy3P\nzdf2D6Wcez8F5P6srEb12NCoW1Q5JrVj3nAf31o/5rFPgS33yVbTB3pcH3r/mb791Hkq/WTz2qFs\ne9e0DfW7jtafE1FGdevWDdOmTcOtt96Ku+++G5WVlXj55Zfx8ssvp8p8+OGHuPzyy9G1a1fk5+en\nnlI1adKk1FswTj31VOTl5dU3m43iiCOOwDXXXAMAuPPOO3HooYfCVK5h3X333anXrLvzE6Am9xo1\nahS+++47TJo0Sdw49ccff2D8+PEAgMMOOwxbb711phcFAGAYBgytb61bxmO36WXY69jezuG2MubV\nqneUclpM1O/xOpuXujLNUMY52hhdK6eNNfXTbsPbQXuIRFJJKqqVa+Zex2ru651aXVqOUarE2gRl\n/qCNNcNKzF1Om06LBXxK7qQsu8+U42rLUGLatndtv4aO11ra9tNGmkklB9IuDySq07dNXBnfuq9n\nA0CV8l2i15j2PaS73Hol99O+19Ji5eq0cj8qV6Z176vaseH1iYvqMa8kQT4lxzISrtxJ+W5H6+9a\nS9+m0fo7r/V5mYfpsR1eL+V4PSazXQdRJmTlxioA6NixI1588UVce+21GDduHF555RWsX78+9fmH\nH36IDz/8sN7pL7nkEpx00knZal6TjRgxAvfddx9Wr16Na665BmVlZbjwwgvRpUsXOI6DGTNm4Jpr\nrsGnn34KADjhhBOw4447inruuusu7LfffigpKcFhhx2GCRMmoG/fvojFYnj++efxr3/9C0DN+8Rr\n/09ERESUFY6j3wWb6XkQbUT5+fl45JFHcMUVV2DcuHF44YUXUj/oAGpeMbGh10yceOKJuPzyy1ui\nqY0ydOhQ7LTTTpg7dy4mTJgA27Zx1VVXYdtttwUA/Pzzzxg9ejSefvppAMAee+yBo48+WtRz4403\n4rXXXsO6deswcOBAPPHEE6kvON555x2cffbZSCaTaNeuHa6//vqWW0AiIiLa/DA/oc2A3+/HTTfd\nhAsuuAAPPPAAnnnmmdQPOgBg/vz5mD9/fr3T77///hg3blz2G9pIe+yxB4466ii8/fbbmDp1Ko4+\n+mjceuut2G233WAYBv744w/cd999uPvuuwEAXbp0wbnnnivqueiiizBhwgQsWLAAp556Kh555BEM\nGzYMPp8PX331Fc4++2yUlZUhGAxizJgxLb2YREREtLnJdo7C/KTVy/irAN123nlnTJgwAStXrsTk\nyZNxxRVX4IADDkD79u1F2TZt2mDo0KH4+OOPUwPr1qaoqAiTJ09G586dYds27rjjjtSvRsLhMPbY\nYw+8++67AGpeizhhwgS1nj322ANPP/00gsEg5s2bh3322QfhcBg5OTk488wzUVlZiS233BJTpkxB\nMCifpERERERERI3Xs2dP3Hffffjjjz8wdepUXH/99TjkkEPEE2QBIBwOY+DAgXjttdfw4osvwrJa\n3xMcLMvCW2+9lXqN+pNPPontttsOubm5yM3Nxfbbb5+6qWqnnXbCG2+8of5ivGvXrpg0aRIKCwux\nfPlyDBgwAOFwGKFQCEcddRRWrlyJ4uJivPnmm+jUqVOLLiMRERER0V9V+/btcfPNN2PhwoWYNm0a\nbr/9dgwcOBBbbLGFGLf7/X4ceOCBePzxx/HZZ5+1uqdV1XrmmWdwwAEHAACmTJmC3XffHTk5OcjP\nz0e3bt0wduxY2LaNbt26YfLkycjPl0/ODIfDmDx5Mrp3746Kigqcdtppqe9P9t9/f/z0008IhUKY\nOHGieNouEREREVGmZe2JVW6hUAgDBw7EwIEDU7H169ejtLQU0WgURUVFaNeuXUs1p1n22msvzJ07\nFw899BBef/11zJkzBxUVFQBqbg7r27cvzjjjDPz9739Xv7SoNWzYMOy000644447MGXKFKxbtw6G\nYWCrrbbCsGHDMGrUKLRpI1+xRERERJRRTgu8w5vvCKdWxufz4eCDD8bBBx+cilVVVWHt2rWIRqPI\ny8tDx44dN4nHTffo0QPff/89HnvsMbz00kv4/vvvUVVV8/rZ2h9/nHTSSTjnnHM2+KONAw44AHPn\nzsXo0aPxxhtvYPny5QCAzp07Y8iQIbjmmmvQpUuXFlkmIiIi2owxP6HNkGEY6Nu3L/r27YtRo0YB\nAKLRKFavXo1IJIJwOIzOnTtv8PuG1qKwsBCffPIJJk6ciKeffhrffPMNysvLAdTcHLbLLrvguOOO\nw4gRI1BYWFhvPdtuuy3mzJmDO+64Ay+++CIWLVqESCSC4uJiDBo0CFdddRV22GGHFloqIiIi2qxl\nO0dhftLqtdiNVZo2bdpssjcOFRcX47rrrsN1110Hx3FQXl4On8+HnJycRtWz44474plnngFQ80WO\n3++H3y/fHUxERERERNmVk5PT6PF8axEOhzFy5EiMHDkSAFI//Gjsr9i7du2Khx9+GA8//DCi0SgA\n8Am6REREREQbQTAYRLdu3TZ2M5rEsiycfvrpOP300wHUfPeRTCaRl5fXqB+vFBQU4Pbbb8ftt9+O\neDyOeDy+yeZsRERERLTp2qg3Vv1VGIaRkRvEmBAQEREREVEmZOK1ILyhioiIiIiIMiET333wR+lE\nREREtLHwxqrNnNm2C8yCP28KM7THzHmNuRneHkvsmMpuaMv6jWRMlotWpv1p2glRJM8vk7ac3JCI\n5QfkPIvDlohFErJcNOmk/R1z/Q0AUWW6pCPL2UrMVH7FYymxoK/hdR63Zf2Qqw1xZRNbptI2ZR7u\nSZPKPE3lh0khpf3tcrwly35LVpgXSt+3Vq0PiDLrKuV+VR2TKyShLINPWYhwQO7PllLOvZ2VXQbK\nrgBHCTpejzU72WAZw5J1WX65TIE2YVku5G1b+cJyOwQL89P+DrcvFGXC7YvlPNt3lbGi9nKmwVwZ\nU9abkXRte1PuH4bSz6h9YkKZNhmX5bT63NMFZJ9lFbQVMTNHucnXw3YHAPjk9jOC6dvZCMjtbisx\nR+l3E8o2sAMyFld6lUi84T5VO0ZtyJjWd4b8cp5e+lON9qNLEzJYt1w4IY+JlmY4tj4GyPA8iIga\n4pgWHPPPMbgDOR43tEGSWpmr3zFlXZ4fs+1T5ul1TOCKOVoZLf9RyqlLnsn+VRkfqWNN7RU0Sl6n\n5nru7aDVryyo9lwDJQVAQBnPygwFMFzz1cbsOX65z+QF5NiqKi6Xsyoky0Xz5M2KVfH0clreWBGV\n+1p1TNavxbT6quOyXEzLV13jq6Syn2q5nkZbv5ayH2nlAq5xWVjZLtrYLRyQ5bRYXlBuP60+9/4Q\nVPY1bZ/xGgv4lGVXdvKAax35tXWrHBvaMeT5eSFK/+lYrjGsdiwr/aRjK3mHx+tOHnt/yWvO7LW/\n08p5iKl9opZANKe9HqZ1GnhSjKOdL1sY8xMiai1M04CpXchukobrsQ1vZztTOdlr1421eTa1+7M9\njvu8cpT6jCaua20bqadJ5RzY1O2rrY9EzNvKLVem1cbj5ZH0sVSZOr6V4wttvJyjTOseZ9fU1/AY\nWpsupIyN/VpMWd8+7TsJ7Rqr9j1Zxo5PPbfRvq/TvstJJNO3n/Y9XDwpt3FEiWn7gtf8zz1tlTad\nkg9q34lp02ptiyrlkq7l0o6N5vQpXo9bwzWW1y/HNL0dmezHNM05/3hMKRr1FMm6MndubF3z2pBs\n5yjMT1o/3lhFRERERERERERERERERERERERNYts2VqxYgfXr16Nz584oKCjI+jx//PFHRKNRAED7\n9u3Rtat8KEcmNO1xDERERET01+HYLfOPiIiIiIioIcxPiIiIiIioNWF+skFlZWUYOXIkOnTogK5d\nu2KHHXZAYWEh9tprL7z00ktZm+/HH3+MHXfcEX369EGfPn0wduzYrM2LT6wiIiIiIiIiIiIiIiIi\nIiIiIiLPli5digMOOACLFy8GALRt2xbFxcVYvHgxvvvuOwwbNgxffvklxo0bl9H5VlVV4Zxzzqnn\ndciZxydWEREREW3u+ItwIiIiIiJqLZifEBERERFRa8L8RGXbNo499lgsXrwYOTk5mDhxIlavXo2f\nf/4ZS5cuxYknnggAuO+++/DEE09kdN5XXXUVFi5ciH333Tej9daHT6zazCXbdECyoDD1t5FMyEJ2\nUoQM21VOO9jdZQAYajklptxZaMSjDccihqzKkru5ZcqYT4nlW35Znz8kY8FA+t++oCgTV26WjCVl\nMG7LWEIpp4Rgu9ab1/szk8r6tpUZmLZcv5nks2SsICi3gd+U94Tm+OXEBcH0bdq5jdx25TG5n1ZE\nZKw6Jo8DTTigtCMsl6HIFctXprOUW18Nw9s20PZ7Mydfxgrapv0dTsRkO/yy/YmIPB6dpDyWzYBs\nhz83LGN5uenT5Rc22FYAMPOUckrM8cllUCXjaX8aSv8HbRtod0Mr/Z3aBxpyQzuB8Ab/BgDkKdMp\n/RhMuW85voASU/o2V19mG7KumLLd9b5NNi1RrfVt8vhTZgHbcw+XTjuu/Mp95tpmtpSY6SqolbFM\nGaxbzhdVOj9qlVatWoU333wTv/32G2zbRo8ePXD00UejS5curW4+za2jqqoK33//Pb755hv89ttv\ncBwHPXv2xKWXXtrUxSLyJGk7SCrj4aZx9e/KOddU+miNxyEYDI9jAjmdLKOuBa2uFvpVVhrPK6Th\n8YrjcWylnU+9Ns1S8oeAa1UmLGVc4pexNkF53tbyKS2v0/btuGvcFFfyY3eZeufpMb905431tU0r\nJ9vRYBEA+hhJ4x5bAXLba2X8yv7hV2ZqadMq5bSc011O2ye1dmjz1MakWjmfVp9rWrV+j2NSjXpM\nKnmGu5Sj5B2AvDaiHd9Z78Wa02cpMe/TNjxfr124l+OxpkIvZTa8DRIZOw8TEW36DNOA4fEcmgle\nz9deOVqfnsHLUHYrPmd4zvWUcl62ubZuk1DyuqjyfY8hyyXi8jp0lasd5cogUmtrwCfLafuWVk4b\nf7rLafmVev3Ta8xDDlCfTB4zXq9FaOXc+ZlaxnNMud6eUPYZZVp3Oa1+rS51f1YuyqvlEsrY0rU+\ntL5C7Z8UXvtgfdSePq1tKN97ek1Ws8xrn9UcLXk+y6RNtd2bi4kTJ2L69OkAgHHjxuHkk09Ofda+\nfXtMnDgRCxYswIwZM3DNNdfgpJNOQk5OTrPn+8UXX+DBBx9Efn4+7r//fuy1117NrrMhvLGKiIiI\naHNnJ9UbqTM+j01UIpHAjTfeiDvvvBOJRPrNfyNGjMC///1v3H777QgE5E2LLT2f5tbx5JNP4v77\n78fcuXPF9H379uWNVURERESUfcxPiIiIiIioNcl2jrKJ5iePP/44AKBLly4YPny4+Nzn8+Gqq67C\niSeeiBUrVmDKlCkYOnRos+YZiUQwfPhw2LaN0aNHo1u3bs2qzyveWEVEREREtAHnnXceJkyYAADY\nc889ccwxx8A0Tbz99tuYNm0a7rnnHixfvhwTJ070/GTBbM2nuXV8/fXXmDlzJsLhMPbee2/svffe\nePbZZ7FmzZomLxcREREREREREREREf11lJSU4IsvvgAADBo0CJalPxZz4MCB8Pl8SCQSeOutt5p9\nY9V1112Hn3/+GXvvvTf+9a9/YdWqVc2qzyuPz7MmIiIior8qx3bg2HaW/7Xex8NvyKRJk1I3Kv3z\nn//EN998g+uuuw7XXHMNvvrqK1x88cUAgOeffx7PP//8Rp1PJuoYPnw4vv/+e6xfvx5ffPEF7r33\nXhQUFDR5uYiIiIiIGov5CRERERERtSbZz1E2vfxkzpw5SCZrnrS1oVfx5ebmYocddgAAzJw5s1nz\n/Oabb3DvvffC5/Phscceg6m8njZbeGMVEREREVE9brrpJgDAFltsgfvuu0885WnMmDHYbrvtAAA3\n3njjRp1PJurYe++90adPH/h8fLAtERERERERERERERFJCxYsSP2/R48eGyxb+/nPP//c5PnFYjEM\nHz4cyWQSl1xyCXbdddcm19UU/MaEiIiIaHOX7feD185jE7NgwQLMmDEDAHDWWWchGAyKMj6fD2ef\nfTauvPJKLFiwADNnzsRuu+3W4vNpqbYSEREREWUd8xPPZs2ahfnz5yMSiaBbt27Yf//91VxgY85n\n2bJl+O2337B8+XKsX78excXF2HXXXdGzZ8+Mt5OIiIiIKCuynaPUqbu0tHSDRYuKirLXjkYoKSlJ\n/b9t27YbLFtcXAwAiEQiiEajTcpZbr75ZsybNw89e/Zs1o/cm4o3Vm3mEqEiJMJ/Hnwm5GPmDDsh\nJ0zG08skY3K6hIwhEVXqUqaNy3LaPJxYJP3vaESW0dph27Kc0hkapnwXqKE8Us70BdLLBEOiTCCU\nJ2I5ftlp2AFZzgnmypg/LGIxI/2QjiTk9owltZhcH0oxJJTHENrKPuOFCcNTzGfJ+vOV7ZLjl7F2\nOf60vyMJuZxRJaaVi2vL7siYachlCPnkPpMXSG9vfkB2xzl+OZ0SAiCX3fHnyLYVdJD1ud53axXI\nE5+vulLO0uPgwfAHZNDnFyEzlL6Pa8eQEZAxx5L1O8r+obZN63uUmBeOoWwYLWbK7ez4ZD/g+EOu\nv+XxnrTkdNXq/iz306hyzEeqtL4hva+PKH14XOks4kof65Vf6WP9ljyu3OUCPq2MjAWUunxKOW1a\nvVzDZSwlZtZZt7bV9PVF2TV16tTU//v3719vuUMOOST1/48++qjRNytlYj4t1VaibEvajjrmbApv\n1bTEY7blecDNNDyOXwwlhVeqV049XiZTaePbjFI2gTZPbZmU03o9s5AFvewfjjLe97p7asWaOk9N\npkcPHme7UTR1F2zOI9rdT31U61eKeD+umjZPbdpMH8vavqAdQzBlXtdUWm6t8VLK8zGqL6isz/PB\nps245Q8sL/1/Q+xN8BUUm6OPP/4YI0aMwE8//ZQWLygowJVXXokrrrgCluVtfJGN+fz666+44447\n8Mknn+CXX35R6+7Tpw9Gjx6NAQMGNLudRNlimAaMTHSuG0m22765vBJHHaso10RNW8k7PM4jEW/a\nttK2sXI1H2Yz9gWv41RPdf1Fdxony5d3veaJbl7Hdc15BVlTp/WaA2i0/d5Lf/cX3f3+8jbl83BT\nbbXVVhv8vKl9QqZVVFSk/h8Kye9w6wqH//yes6KiotE3Vs2YMQN33nknAOCRRx5Jq6+l8MYqIiIi\nos0dfxGumjdvXur/O+64Y73levfunfr/Dz/8sFHm01JtJSIiIiLKOuYnG/TKK6/gxBNPhOM4yM3N\nxWGHHYbc3Fx88cUXWLRoEa6++mrMmzcPzz777Eabz5w5c/D444+n/t56662x2267oU2bNli4cCE+\n//xzzJgxAwMHDsSdd96JK664olltJSIiIiLKqhZ8YlWmrV69Gn/88Uez6ujSpQs6dEh/gIfP9+et\nRsnkhttf9/O603kRj8cxfPhwJBIJnHLKKTjiiCMaNX2m8MYqIiIiImpRm8qjbJcsWQKg5tcWG3qU\nbTgcRtu2bbF27drUNC09n5ZqKxERERERbTxLly7F6aefDsdxsMsuu+C9995Dp06dANR8WfHvf/8b\nDz74ICZOnIh+/frhH//4x0abj9/vx5lnnomLLroIO+20U9pnc+fOxbHHHotff/0Vo0aNwv7774/9\n99+/SW0lIiIiIvorWbhwIQoLCzNW38SJE3HxxRc3q47bb78do0aNSovl5f35Fq6qqqoNTl/387rT\neZ33zJkzUVxcjHvuuadR02YSb6wiIiIioha1qTzKtry8HIC3gX5eXh7Wrl2bmqal59NSbSUiIiIi\noo3n1ltvRXV1NSzLwosvvpi62QkALMvCuHHj8MUXX2DGjBm48cYbceaZZ8Lvb/yrO5s7n169emHu\n3LnYbrvt1Pp32mknvPbaa9htt93gOA7uu+8+3lhFRERERASgsLAwoz8+b9++PXbddddm1dGxY0cR\n69y5c+r/y5cv3+D0y5YtAwC0a9eu0a8sv+OOOwAAZ511FpYtW5aqq9batWtT/1+9ejVmzpwJANhy\nyy0zuh55YxURERHRZs6xk3AaeFRrJuaxqYlGowCAQCDQYNnaMpFIZKPMp6XaSkRERESUbcxPdIlE\nAi+99BIA4Mgjj0SvXr1EGcuycOGFF2L48OFYtmwZPv74Yxx++OEtPh9tGrdddtkFO+64I+bOnYtv\nvvmmUW0kIiIiImpJ2c5RspmfnHLKKTjllFMyXu8OO+yQ+v/PP/+8wbILFiwAAPTu3bvR84nFYgCA\nu+++G3ffffcGyz733HN47rnnAADPPPMMTj311EbPrz68sWoztz6WhBn980C1DFnGZ8q7Bv2ud1/6\nfUFRxrCiMmaYImY6tpypERchJyFjduX69L/LS2WZChlzqitFLFFVLWLJSEzWp3SapuvOSjMgDy1f\nTkhOl9tGxtrI1/dYRe1FzGjTTk6bk37XZSBH3oUZCchtVSVXLaoTcrvEbPkEkbgSS7pipiF3LMOQ\n01lKOUvuMvCZslxQubnVNNK3g1K9KtMPStHm615Wv7KcAeWADGgrxJYxJ5QvYkm/cpzmFLrqkvu3\npR2j6nGrtK2JHKV+LWbYCTmxcowacdkfQZvWy8BF6RNhyRsZnEBYxpS+0g7JfiBippcrj8p2rY/J\n/qk0Ig/mNcoBXlItY+UxuT4qIumxmNIvaCzlGA0H5HrLVfrKfKVcXlCWK3DFCkxZRjuGtP4jpJQL\n+uT+HFR2cSOZvh2MmLKvJeS2qrvvmlVlcpq/uEw/yvbRRx/F3Llzm1XHFVdcgS222CItFg7XHMe1\nNy1tSO1NSjk5OY2edybm01JtJco226n5V0sblinDT5WXp99pZzavY8FMtsMrw+OAVjndKXUp0ynl\ntPO6Vr02Ty/TarmCqW15ZSzoeZyqbQNXOUObTuN5nkrMVsaz7nKe2+FtHanL1ZxlzTYvOYVSxtGm\nU2Mek0Iv8zC9ztNjTOFpubRl0tqvHeFKOVs5wm1lf3NH3NcBaqaTs/Tarye1eXroTjdG3wx465+9\n9M01dSnTZrkddUNe1yG1vG+++QYlJSUAgCOOOKLecnU/e/fddxt9Y1VLzQcA8vNrrl9VVFQ0elqi\nlmAahjpebUmG1xPIZsxpxslLG+c0tf6EMt5X5+mxPi/jFa9Dds/z9FDO6/rwsm4bU18m68r0ceWl\nPq99ide2eZqn57o8FfN+TcLDfDO5nID39dvU+jdnmTxGm2Jjn4epfr1790ZhYSFKS0vxv//9D1dc\ncYVabvHixVi6dCkAYL/99mv0fHbbbTckEsp3uv8vkUhg3rx5AGqeiNW1a1cAQHFxcaPntSG8sYqI\niIhoc2fb6pe9GZ/H/8v0o2zffvttTJ48uVl1nHnmmeLGqjZtam58LC8vh+M4G7x4sH59zc3etV8M\nNEYm5tNSbSUiIiIiyroWzk82FXPmzEn9f7fddqu3XJcuXdC+fXusXr26ST9Aaan5RKNR/PDDDwAg\ncjEiIiIiolYl2znKJpif+Hw+HHPMMXj66afx3nvvYeXKleorA59++unU/4877rhGz+e7777b4Ocr\nVqxIvZbwlFNOwbhx4xo9Dy94YxURERERbdLOP/98HHnkkc2qY8sttxSxnj17Aqh51OzKlSvRqVMn\nddry8nKUldU8eWyrrbZq9LwzMZ+WaisRERER0V9NaWnpBj/P5I9CmmPhwoWp/zd0I9IWW2yB1atX\np03T2ubz3//+N5WbDBo0qNHTExERERHRxnXZZZfh2WefRSwWw8iRI/H888+n/ej7l19+wdixYwEA\nBx10EPbaay9Rx9q1a/H7778DqMkvMv2kqUzhjVVEREREmzvb9vYqzObOI0uydRF+p512Sv1/5syZ\n9d68NXPmTHWalpxPS7WViIiIiCjrWjg/aegHB5l+dWRT1T55FvjzibX1qf287jStaT6///47rr76\nagBAQUEBRo4c2chWEhERERG1oGznKJvgE6sAYOedd8all16KsWPH4sUXX0RZWRlGjBiBdu3a4dtv\nv8Xo0aNRXl6O/Px8PPjgg2odL7/8Ms4//3wAwJNPPokzzzyzBZfAO49vTSUiIiIi2rwcfvjhqV9X\nvP/++/WWq/vZEUccsVHm01JtJSIiIiKijaOqqir1/2AwuMGyoVBITNNa5lNdXY0hQ4Zg3bp1AIBH\nH30U7dq1a3Q7iYiIiIho47vzzjsxcuRIGIaBd999F8cccwz2228/jBw5EqtWrULnzp3x9ttvY8cd\nd9zYTW0WPrGKiIiIaDPn2Ek4Wf5FeLbrz4YuXbrg4IMPxtSpU/HUU0/huuuuE68BqaiowIQJEwAA\ne++9N7bZZpuNMp+WaisRERERUba1dH6ycOFCFBYWZqzuL7/8ErNnz25WHYcddhi23nrrtFjtTUwA\nEI/HNzh9LBYT03iVzfkkk0n8/e9/x/Tp0wEA//73v3HSSSc1uo1ERERERC0p2znKpvj9SS3DMDBu\n3DicfvrpeOaZZzB37lyUl5ejc+fOOOSQQ3DqqaduMN9q164ddt11VwBo0msA/X5/avquXbs2aRm8\n4I1Vm7nKmA1f7M9Hy1nKM8x8piFiATs9FrJkmWAgR8S0R6Q5dkLEjHhEFlQ6FCeWXs6uKhdlEqXr\nRKx6VYmIRUsrlJhSXyQmmxZruLOzQn4RC7TJFbFQW/mI7dxObeW0nbuJmK/jFul/t5OdRzi/o4iZ\ngXwRS9ryMeexpBJLyFhVPH19xJXHF1qGss/45B6S47eUciIEvymnDfvS56HVH1D2XTMRlTNQ9j9D\n2XebyjGUhXKUI8aW68Mx5bTJgNzfksqj693bWdnEUHYFldJVQFm9CCgdjWWnX6gzYpWijBFVYgl5\nPGrT2tUy5kTkryndAxfDlOvbCCl9W16hrEvZLnYwT8QqERCxdVXp+9bycrmcv5dVi9iSUhlbuk7G\nVpfLPra0Sl4sjXnp25TjKi8kl71tnvyVa4d8GWvfRsY6KfMNuvajAq1tSj+jHfNa3xCCcm6KynXp\nPl8ZWv+RVPbTxJ/r26xu/KsZqOXccsst+Pjjj7Fu3TqccsopeOWVV5CTU9MPRCIRnHHGGVi+fDkA\nYPTo0WodEyZMwIwZMwAAt956q5pEZGI+maiDaGNLOunjEa+v3tEelu2eVBvTaPV7qaumPhnUWuue\nb/PeJuRtYuUUKMZqShFYyoDOUlaIljdq512tve55aJMZSWWcrY3HlXMstPxSGTO669PG9mr9SY95\ngRJzEsqX0662OVE5TtOmc9RlkhvLjstyaju0C3iumJPhx9IbSg4HZfztjhk+meto0xl+Wc7wybG3\nVp8RVG4QcE2rt0OOg7W8AJaS11mybeq0rmV1lGXS2gGlfnW9WXK5tH7LnUvGld1Dz0G9ltsYfaw3\neh8rZ6z1im5av6tdOzOUmWo5uKGsJXd9Wt5ft37t87+6wsJC8aOE5njppZdw3333NauO559/XtxY\nlZ//5/W7iooKFBRomfCfnwNAXp68DtGQbM3HcRycffbZmDRpEgDg9NNPxz333NPo9hFtqgyt424F\ndQGAmeH6MsX2emHaI8djfe5y2nRa27T80lHGPuq0HmJaDmonlBzAc9s8LpfIC2TuoOYd2nd6Hm8c\naM60maR+P6DlLE2czlDyAlPLWZRptePW3TeoY0ht/KlcHzeVabW+R4u552EoA1zD9tY2jdc+0Eu5\n5vSnraXvzGRfqfULmT7neO2LadOz++67Y/fdd2/0dEOHDsXQoUObPN+2bdti5syZTZ7eK95YRURE\nRLS5s+3sv8N7E31H+H777YfRo0fj6quvxjvvvIMePXqkXrv34YcfYsWKFQCAq6++Goceeqhaxzvv\nvINXX30VADBq1Cj1xqpMzCcTdSxatAh33XVXWmzNmjWpzy644IK0z26++eYm/YqEiIiIiKhem3h+\nsv/++yMSUX402gja02W7d++e+v/SpUs3+Gvs33//HQCwxRZb1FumPtmaz0UXXYSnnnoKAHD88cfj\niSeeUL/wJSIiIiJqdbKdo2yi359sTnhjFRERERHRBlx11VXo1q0brrjiCqxYsQITJ05MfdauXTuM\nHj0a5557bquYT3PrWLFiBR566CH1s5UrV4rPLrvsMt5YRURERERUxwknnIATTjgh4/XuuOOOqf/P\nmzcPffv2VcuVlpamnlRbd5qNOZ8rr7wSDz74IABg0KBBeP7552EpT+kgIiIiIiJqjXhjFREREdFm\nLtvvB6+dx6bstNNOw8knn4yvvvoKCxcuhOM46NGjB/bff3/4fBseUp9zzjk46KCDAKDBV4w0Zz6Z\nqKNnz5544IEHPM0HqHnMLhERERFRJjE/0e27774IhUKIRCL4+OOPMXz4cLXcxx9/nHrl08EHH7zR\n53PTTTdhzJgxAIBDDz0Ur7zyCvzK61qJiIiIiFqrbOcom2J+srnhjVVERERERB5YloUDDjgABxxw\nQKOmO/LII1tkPpmoo2PHjuJ1f0REREREtPHl5uZi0KBBePXVV/Haa6/hnnvuQfv27UW58ePHAwDy\n8vIwcODAjTqfu+++GzfeeCMA4MADD8SkSZMQCoUa3SYiIiIiIqKNiTdWbeYiCQeBxJ/v7LSU99r7\nLEfEkrbh+tsUZWxHvgs0xx8WMcdOyFgiKmJmQEm6Tdcjo5W7OZORmIjFyqtErGpViRKrELHqkois\nrzKe3oyYbIdhyXUbyA2IWKhILmebbgUilrfFWhEr2Co95otUijJWF7ldAkWyKwj6ZDsqE3LaaFIu\na1k0fZtGE8p2kbsV/KZcR/lB2baikPxVmxWS04aRHgvK3RRm1ToZqy6Tsahcl06sWlaYkPub2E8B\nGL70ZXACuaKMHcqX81RiyWAbEatQ9sHKuNx+VfH0DRHxuI01QeUR7mG/XOl5ARlrE0ifNmzJY8N0\nykXMiMttkCxZLWJ2uTy+7YjsB0T9Sr9jKv2MmSu3gWPJ/TTpzxGxUlf/AQBLytL7mQVrZVvnLJX7\n6YKVch2tL5V9VnWF7GPjEblctpO+f1iW3Hb+oNzu1flBGVP2SU1eSB7zcVt2GJarv3D/DQABrd9V\nygUNud8byjGvxhLp69eIy3VrJGW/4CTqbPeIPNe0ODupnkMzPg8iogY4cFJPPqiP7LWBpBJ016NN\np80qqQSVU1GTp21g8f6cDt4KmpDnNo071VNO61BSP1iGDPodZZ7K23wspZy7mKGtEOWc4T7nAoAR\nV2JKLqmdi93nbG1s70SVmDKGdGKyHeq0WjlXzInKMsmoXCYtz01EZDk7JvPtZFzGtHKOnX7UOMqB\npsU0hrbDKUy/HAuagfSY5aEMAPhCckxqhWSeYQVlOSMo8wB3bqDlCkZQXvMwQjIH8DqtGVCuofjT\n2+sk5DI5PrlM8CvbT8n7DdPbpUJ336b1fwkl8dfG9tr1Aa0+va93tctj3+mV1scql86gpBmy31Um\ndJT1ofXq2iGkdZ+G2rgN/tk6MT+p13XXXYfXXnsNVVVVGD58OF599VUEAn/2A+PHj8d7770HALj0\n0kuRl5cn6vj6668xY8YMAMAxxxyDLl26ZGU+48ePx2WXXQag5ilYkydPRk6O7BOJ/ooM7cSwEeoy\nM9kO7RyTYe4cTmu/rZ07lXLaObaptHlqeavylRiSyvX2pDau1sZIrmltZTqtbbbyHYX2JBQ7Lst5\nmTbpsX6v8/Q6rcadszSHYXobJRna9z2umOmXY3Qv0wGA5fM2ramUc8/X63RWUi67dsxbPqWccvy5\nv0fQpoOp7LvK5tSu+zeV1/7Ua9+Z7X6xoetjtby2V+sv3Lyuo0z2sZuMbOcom2h+sjnhjVVERERE\nRERERERERK3crrvuiltuuQXXXnst3n77bey2224YNmwY8vLy8Omnn+Ktt94CUHMj06hRo9Q6Xn/9\nddx5550AgF69eqk3VjV3Pu+99x5GjBgBAAgGgxg8eDCeffbZDS7bOeec4/n150RERERERC2JmQoR\nERHR5s6x9Z8EZXoeREREREREDWF+skHXXHMNcnNzcfXVV+PHH39MvWqv1gknnIDx48c3+5V7zZnP\njz/+CPv/t2E0Gq33Jq+6Tj31VPXJV0REREREG122c5RNOD/ZXPDGKiIiIiIiIiIiIiKiTcS///1v\nnHHGGZg0aRLmz5+PaDSKbt26YeDAgejVq9cGp91nn33wz3/+EwDUp1VlYj677LJLah5e+f3+RpUn\nIiIiIiJqKbyxioiIiIiIiIiIiIhoE1JUVIQzzzyz0dMde+yxOPbYY7M6n/79+6N///6NaxgRERER\nEVErxRurNnNViSR88WTqb79pijJ+xxAxx3L9De3xdLIuU1aFsD8s6/dHPMXMUG7a33ZAPnrasGQ7\nNHY8IWKxyriIRUpkO6pdsepYUpSJ2Y6IBZQVkpcXELGqNVUiVlgqY8lILO3vYlECMJV1ZAblY7bD\nbeQv1ixDtjepbPqqePryl1Qr6zEh15GlrI/8qOym4spM/ZZcrrDPte2VxygasWoRMyvXiVhi9R8i\nZpetFTEnJvcPjeHad62iDqKM1b6biCUt+es9O5AvYtUJub+tqZL7+MrK9H1G21bu7QkAlnIs5wXl\ntuqQK/fnTnlBEXNvqxx1Wyn7fMkqEdO2VVLZVu7jBQAMVx/oUx5BbyjHkMbxy3IVSt9QUi1ji0rT\n98s5S8tEmblLSkSsdHWliJWvk/t4tLxUxOyEtj7SO3tfWK6PUG6OiJnKsewPWiKWVPpFjV+pL+jq\n2wPKTqnFwn7l3BRZL2JGVK5LMy73QXcf4sSjoowdldsAiT+PNaeqQn7ewpykDScp98VMz4OIqLG0\nnsPxdvrwNJ2tBLXTkzZt0uO07nJe2+FVEnJaUxm3i4itDOhMb3U1p0d312bYcoxqJJVxiTZWScjz\nrja+N2LyvG5Xlqf/XSXHA061Ml1EjgecSjltokq2I14pY+4xabxS5hPxKhlLRuSyJ6rlOkpG5Pg+\nqYzvE9VyO9hJ176rnMttj+M5bXyo5eqmMn4zA+njSH9I5h1WSOZJvrDMRayQzEX8OXLc7s/VYunX\nLnxKGSssx8ZGOFfEzJDHcjltZCzXlf8p11Q8v0LAUK6XmHLcbhhNu3yo9uFKTOtPlUsGsJWpveQU\n2jDU46UiKJfEZH9aT9Q9C62l2jrS8m31NKE3pMFp9e7/z0KO2tKWxfyEiGjjMpQc4K/KUcYS7pij\nnIi14VYyIYNJbQztsZy7PseW50btmq4dV2JaOSWW9FCf53YkZC6iTqvEtHGANm22ua+PA4BhyZjp\nKqdNZ/pkzqKVS/pkHmP6ldxGK5dIj5lKGW09OrZWv8wBtGPB8jqwFvVruUjDx2P9Ff71+i2tL9a2\nAbWMbOcozE9av6b1dkRERERERERERERERERERERERH9hfGIVERER0ebOTtb8y/Y8iIiIiIiIGsL8\nhIiIiIiIWpNs5yjMT1o9PrGKiIiIiIiIiIiIiIiIiIiIiIjIhU+sIiIiItrc8RfhRERERETUWjA/\nISIiIiKi1oRPrNrs8YlVRERERERERERERERERERERERELnxi1WYulrARTdipv23LEWVsR7v/ruF7\n8gzYImaZcjqfX+6G/mCerC8Rla3IzU8vE8qV9eeEZDtCAVmX0g5NMi7vGK2OpcfWxZQySbluNXlK\n/e2r4iLm2LI+y2+l/R3IzxFl2hS0FTF/cWcZy2snY6YlYppq1zKUVMVEmTJlmTR5Ibldko5c9qBP\n7lt5gfSYY/pFGcOR+6ldWS7nWbJaxOKrV4pYrLxSxDSB/PR9NaDciWyE5PZDTpEIaXtWJCmXa121\nXOd/rI+k/b3S9Tcg928AsExDxNq3CYqYXynXLkcef0JS7jNGtEIW87hdImvLRCwRkfPwufqGsCX3\nKyshp4MhyzmWXM7quNxaqypl37a0pDrt74Wr5bKXrakSsdJVct+NlKwQsVilXB+Osg+avvRlCCpl\nfAG53W2lf9Jo+1FAOZa14zvH3d8pdYUsGTOVc4kRl/u9kVBicTmt44o50WpZJibrgv3nMeokvPWH\n2eTYNhxb9huZngcRUUMMGDCMP/tvUxn32bJ7V7MT9/DbUKbTBlLKKUXU1aj6kF4wqY7e/pq0dSnO\n/0r+AzshQlo+aMTkedeIyfG4XV4qYklXzKlaL6dT8oJEhRyXaTlAbL0cqyUq5ZggXpW+DHGtTKUc\nf8Yq5PghEZHrLVEtY3GlnK2M+d25r60cCI7HPNfQxmVKzJ3TAoAZSI/5lRzRF1ZiSrlAnswJ/bly\n3O7PldcR/Dnh9L/byHxNm86d+wGAL09e8zCVMaMTV8aJrjG5kSvHWIaSn8CU68PRchslj7H8cr2Z\nHsf8tGFaP6lRzzke63NPq50z6557DXicWRYxPyGiTZ127d7w2um3Ao6Sh2kMryeoZszDU13K+tZi\ntsd5erm2qZXx3A7P07rG48rYzY7LWFLJk5LatErMScq8wF3OVq5lqm1TriVr7dWuS2sxjddyXhge\nv//SytmumOmXY2ov198bQ63PFcv0TQCWT9ZoG0p/59qfHaWMdhxo3xd4Lqcc36aH4Z7WN2vzNJVy\nmewrM9knZprWP22Osp2jMD9p/fjEKiIiIiIiIiIiIiIiIiIiIiIiIhc+sYqIiIhoc5ft94PXzoOI\niIiIiKghzE+IiIiIiKg1yXaOwvyk1eMTq4iIiIiIiIiIiIiIiIiIiIiIiFz4xCoiIiKizZ1tt8Av\nwvmOcCIiIiIi8oD5CRERERERtSbZzlGYn7R6vLGK0iSVY9Y0HBGznfRY0jZkXcrz0LT6E7as32/5\nRczRYv5w2t9mOFeU0WK+UEDErIA8HCy/XAjDbPhBb0m5SIgpy5l0tJhclwFTdtTBkoiIVa2pSvs7\nsna9KJNXXiobVy3LGYmoiPlMuS417uWqjsn2l1bH5XTKOoom5E4TDlgiVhaS+0ckkV5fTNkwPkPZ\nxsqJ0YlWi1isvFLEoiUVIqZxXAeDLy9PlonJbWw43k6s2rFWFZfLtT6Svh3WVsREmWplurBfboO8\nkDyGtGNBY7l2eyMu9z+7slzGyktELFoqy0VL5XZxbwONHU80WAYAHFM5nSp9ViwiV0i5cny4t0Nl\npdwukSp5DCWq5XLGlVhS2bc0him3sywj+yxTiVmWPNa0/Ug7voM+GfO7dhq/Nk8lhoQy8FWOefV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URw8sknp/2AxHEcXHHFFZgxYwYA4IYbboDP58viEhEREdHmLus5yiaYnyxcuDD1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\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k3rx52L59OwCE/UWQpmm4+uqrAQBbtmzBokWLomwxERERUfk4PiGqvuyMT+rUqYP27dsD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\n"
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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AuOuuu7Rr1y6NHDlSnTp10rp162wdk5+fr+TkZC1YsEBNmjSRJEVERGjcuHGK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\nhpo2barTTjtNI0aMUFxcnK1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yZbkf+kM5TnX38eabb+rFF1/UBRdcoLZt2yo6OlpZWVkK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\nMEghIiIiIiJZ+X86h9z0Sc9c0QAAAABJRU5ErkJggg==\n"
          }
        }
      ],
      "source": [
        "def make_cart_plot(phi, theta, vals1, vals2, vals3):\n",
        "    n_plots = 3\n",
        "    fig, ax = plt.subplots(1, n_plots, tight_layout=True, figsize=(12.6, 3.8))\n",
        "    im1 = ax[0].pcolormesh(\n",
        "        phi * 180 / np.pi,\n",
        "        theta * 180 / np.pi,\n",
        "        np.real(vals1),\n",
        "        cmap=\"RdBu\",\n",
        "        shading=\"auto\",\n",
        "    )\n",
        "    im2 = ax[1].pcolormesh(\n",
        "        phi * 180 / np.pi,\n",
        "        theta * 180 / np.pi,\n",
        "        np.real(vals2),\n",
        "        cmap=\"RdBu\",\n",
        "        shading=\"auto\",\n",
        "    )\n",
        "    im3 = ax[2].pcolormesh(\n",
        "        phi * 180 / np.pi,\n",
        "        theta * 180 / np.pi,\n",
        "        np.real(vals3),\n",
        "        cmap=\"RdBu\",\n",
        "        shading=\"auto\",\n",
        "    )\n",
        "    fig.colorbar(im1, ax=ax[0])\n",
        "    fig.colorbar(im2, ax=ax[1])\n",
        "    fig.colorbar(im3, ax=ax[2])\n",
        "    ax[0].set_title(\"Ex\")\n",
        "    ax[1].set_title(\"Ey\")\n",
        "    ax[2].set_title(\"Ez\")\n",
        "    for _ax in ax:\n",
        "        _ax.set_xlabel(r\"$\\phi$ (deg)\")\n",
        "        _ax.set_ylabel(\"$\\\\theta$ (deg)\")\n",
        "\n",
        "\n",
        "# get the fields in Cartesian coordinates from the projected data we already computed above\n",
        "fields_cartesian = projected_field_data.fields_cartesian.isel(f=0, r=0)\n",
        "\n",
        "# plot Ex, Ey, Ez\n",
        "make_cart_plot(phi_proj, theta_proj, fields_cartesian.Ex, fields_cartesian.Ey, fields_cartesian.Ez)\n",
        "\n",
        "# get the power\n",
        "power = projected_field_data.power.isel(f=0, r=0)\n",
        "\n",
        "# plot the power\n",
        "fig, ax = plt.subplots(1, 1, tight_layout=True, figsize=(4.3, 3.8))\n",
        "im = ax.pcolormesh(\n",
        "    phi_proj * 180 / np.pi,\n",
        "    theta_proj * 180 / np.pi,\n",
        "    power,\n",
        "    cmap=\"inferno\",\n",
        "    shading=\"auto\",\n",
        ")\n",
        "fig.colorbar(im, ax=ax)\n",
        "_ = ax.set_title(\"Power\")\n",
        "_ = ax.set_xlabel(r\"$\\phi$ (deg)\")\n",
        "_ = ax.set_ylabel(\"$\\\\theta$ (deg)\")\n",
        "\n",
        "plt.show();"
      ],
      "id": "07232f68"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Re-projection to a different distance <a name=\"reproj\"></a>\n",
        "\n",
        "We can re-project the already-computed far fields to a different\n",
        "distance away from the structure - *we neither need to run another\n",
        "simulation nor re-run the\n",
        "[FieldProjector](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjector.html)*.\n",
        "Instead, the fields can simply be renormalized as shown below.\n",
        "\n",
        "Note that by default, if no `proj_distance` was provided in the\n",
        "[FieldProjectionAngleMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjectionAngleMonitor.html),\n",
        "the fields are projected to a distance of 1m."
      ],
      "id": "e847dc08-84f3-4800-99f0-50921bb94dad"
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Normalized root mean squared error: 4.54 %"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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DZTmXJUuWuCQrFXnmmWdcZoHrffvtt9oSKLVq1cL//ve/ImPVV155xeW1MHscFi1apC0X\ndNttt+H5558vMnmv3W7Hxx9/rM1SX7BggeGqiAULFuDvv/8GAERERGDJkiWoVatWsX3wZTzu7WPc\nt29fPPXUU8LnAgIC8Nxzz2n3ZZItExF5Awfmicivffnll1qQWXjZmsLGjh2rLW9TuLw7N910k9sl\nVOLj47Xb7tZ5dKdjx47abXeX2BanadOm2g+JP//8E1u3bhWWK2oZG2/btWuXtsROZGQkHn30UZ9t\nm4iIiKi8KljyIygoCGPHjnVbvnPnztrSJJs3b/Z4e6qqYuPGjdr9Bx98sNjyPXr0QPPmzT3ejgx3\n2+7QoQOuv/56APmTddzt71133VXs8+vWrdNuT5gwwbDES2GKouDxxx/X7q9fv77Ytovyyy+/uGzT\nndDQUHTv3h1A/pJFhw4dcnm+8BIxEyZMQO3atU31y1u8fYyL+u1YoH379trtkv7OIyIyy/00TyKi\nUuJwOLTZL2FhYVqiV72ChLDz58/HsWPHsGbNGnTr1s1t+6LZ93rR0dHa7StXrhRZLjMzE0uXLsWq\nVauwf/9+XLx4EVeuXHFJ9Fq4vrtZPO7cc889WLNmDYD8AfjCgSUA7NixQxv879ChA1q2bFmi7Xli\nz5492u2bbrrJZzP1iYiIiPzFoEGDXGa4i8hcdVkgKSkJp0+fBpAfIzdr1kx7rvCklILbBf8XzEgu\nnPdH1unTp5GWlgYAqFOnDurVq+e2TufOnXHgwAGPt1WcypUr47rrrpPa9vbt2wEA+/bt065W1atR\nowbq1KlTbFuF96G4mfUFunTpot0+duwYsrOzXfJiySg8a/vee+/FQw89BKD41zclJUV77ty5c2ja\ntKl2v3BM3rt3b4/64gvePsbufuvJ/s4jIvImDswTkd9asWKFtuTLsGHDEBERUWTZCRMmYP78+QDy\nB6plBubDwsLclil8+WjhQfbCfvzxRzzwwAMeXY5c8CPHrMGDB6NatWo4f/48vv32W7z33nsIDw/X\nni98eae7GUFWK/xHh7p16/p020RERET+ICwszO3grycKx1cOhwMnT570qP7ly5c93mZycrJ2W3a2\ntTdmZdeqVavIJV2K2nbhAWu9opaxLKzwvsu8jpGRkahcubJ2nJOTk1GzZk239Qor/BoXLEHjCf1r\n7O8xubePsbvfejK/84iIvI1L2RCR3yo8uLxo0SLUqVOnyH///ve/tbILFixAamqqT/q4cOFCDB06\n1OM1Qh0OR4m2GxQUhHHjxgHID8IL/igB5M/e/+abbwDkrydZ1Hqc3lJ43zyZCUZEREREYgV5g3yp\n8GCl3W6XquON2M/MtvPy8qTKFaVwPGtm+2Zi/ZK+xvrlPP09Ji+NY0xE5G/87+xMRIT8y3WXLVum\n3U9NTZUebM/KysLcuXNx//33e6l3+VRVxcMPP6z9aImLi8O///1vtGvXDnXq1EGVKlUQFBSkzcb4\n/PPP8dprr1m2/bvvvhvvvvsuVFXFf//7X9xxxx0AgO+++w6XLl0CkJ/AtvBMel8ofFmop3+wICIi\nIiKjwrO8GzRogLVr13p9m1WqVNFunz9/XqpOUlKS5f0ws+2oqKgSbTMqKkqbtX7+/Hk0aNCg2PLZ\n2dla/G12+zExMVrsvG7dOtSvX9+j+lWrVnW5Hx0drV19fObMGbf74GulcYyJiPwNB+aJyC/NmjUL\nubm5put/8cUXXh+Y37lzJxISEgAADRs2xM6dO4tdbiczM9PS7Tdu3BjdunXDb7/9hk2bNuGvv/5C\ns2bNXJK++noZGwAua1tu2LABTqcTNhsv0CIiIiIyq1atWggLC0NGRgZOnTqFsLAwl8kQ3lCnTh0E\nBwcjOzsbR44cQUpKitvB0II13q10/vx5nDx50u1yLIW33bBhwxJts0GDBti3bx8AYOvWrYZ8Tnrb\ntm3TJuvExsaamhjTqFEj/PnnnwDy1/fv3Lmzx20U1rRpU+zduxdA/kD/jTfeWKL2rFYax5iIyN9w\npISI/NKXX36p3Z4zZw4SEhKk/hWsM7hz504t+am3FAzKA0Dfvn2LHZR3OBxYsmSJ5X245557tNtf\nfPEFDh8+jHXr1gEA2rVrh9atWxdbPygoSLtdkj+EFNahQwct4evp06fx/fffW9IuERERUUUVGBio\nDdTm5eXh008/9fo2g4KC0KZNGwD5V4p+9dVXxZY/ePAgNm/e7JW+/O9//yv2+VOnTuHXX3/V7nfo\n0KFE27vhhhu02zNnzjQsE6NXeAnOwnU9cfPNN2u3//Of/7jdpjuFc259+umnJZok5I3fDKVxjImI\n/A0H5onI72zcuBF//fUXgPxLOm+//fZi15cv/G/EiBFaO4VnjntDSEiIdnvnzp3FBpMvvviitk9W\nGjRoEGJjYwEAX331lcuPtLvvvttt/cjISO32qVOnLOlTcHAw/vWvf2n377vvPm32DxERERGZc++9\n92q3X3/9dfzyyy9u6+Tl5eGjjz7Cb7/9ZmqbI0eO1G6/8sorOHLkiLBcVlYWJkyYUOLB5KK8/fbb\n2LNnj/C53NxcTJgwQVtzvEOHDh4vA6M3YsQI7YrPP/74A2+99VaRZZcsWYLZs2dr98eMGWNqm6NG\njdIm+mzatAnPPvus1PFcs2YNpk2bZnh85MiRqFy5MoD8OP+OO+4wPajujd8MpXGMiYj8DQfmicjv\nFB5Qv/322xEYGChdd/To0drtr7/+2quJslq1aqWtH79x40aMHTvWZfA9NzcX69evR79+/TBlyhSv\n9CEwMFBLfJuUlIQPPvgAAFCpUiWXH1JFKbzszLp16/Dzzz9b8oPq+eef19YlTU5ORseOHfHqq6/i\n6NGjWhmHw4EzZ85gwYIFGDduHJYvX17i7RIRERGVVwMHDkSXLl0A5A+E9+nTBxMmTMCmTZuQnZ2t\nlcvNzcW2bdvwyiuvoEGDBnjwwQeRnJxsapvjxo1D9erVAeTnfOrUqRO++uorZGRkAMhPELtu3Tp0\n6dIFGzZsKOEeFi0jIwPdunXDjBkzcPnyZQD5s/i3bNmCHj16YOXKlVrZZ599tsTbq1evHkaNGqXd\nf+6553DPPfe4/GHi3LlzeP311zF06FAtfr7mmmswcOBAU9uMjo7Giy++qN1/++230blzZ/zwww9I\nSUlxKXvkyBHMmDEDHTt2RLdu3YR/tIiKinI5FvPmzUPHjh3x448/4sqVK9rjGRkZ2LdvH6ZOnVpk\n35s1a6bd/uCDD3D27FlT+1hYaRxjIiK/oxIR+ZG0tDQ1PDxcBaACUNevX+9xG02bNtXqz5071+W5\n2bNna88988wzbtt64IEHtPJLliwxPD9s2DDt+YJ/wcHBamxsrBoYGKg9FhAQoA4YMEC7/9577wm3\nt3r1aq3MuHHjpPb3yJEjqqIoLn246667pOqqqqrecMMNLnVDQ0PVWrVqqbVr11Zr166tvv3226b6\nuHjxYjUgIMBwfMLCwtTY2FjVbre7PP7NN99I95mIiIjI37zwwgtaXDN69GiP6wcHB6sA1OrVqxdZ\nJikpSW3YsKEhvrLb7WrVqlXV6Oho1WazGZ7/7rvvTG9z4cKFhljTbrersbGxakhIiMtjt956q3b/\nww8/9PgYFDh//rzWTqNGjdTmzZtr9202m1qtWjU1NDTUsJ+jRo1y2951110n1Yfk5GS1fv36hm1E\nRESo0dHRhmMSHh6u7t69u8j2hgwZopXdvn17keVGjx5t2CYANTIy0vAbw11M7nA41P79+xvK22w2\nNSYmRq1SpYrL4zExMcJ2du7caWgjJiZG+71Qu3ZtNSkpyeP9tfoYt2/fXiubkJBQZLkCBWXr1q3r\ntiwRkTdwxjwR+ZVvv/0W6enpAIC6deuaSlJUeOaFt5ez+fTTT3Httde6PJadnY2kpCTtUtGwsDDM\nmjULXbt29UofGjZs6LImJSC3jE2BN954w+WqhMzMTPz9999ITExEYmIiLl26ZKpf/fv3x88//4wa\nNWq4PJ6RkYGkpCTtcmMiIiIiklOtWjVs27YN/fv3d3nc4XDgwoULSE5O1hJkAvlXVz700EPo0aOH\n6W0OGDAA//3vf13WGXc4HEhKStKuTg0MDMTHH3/slXg3PDwcP/74o7Y8jdPpxPnz5w1rpg8aNAgz\nZ860bLtRUVHYsGED2rZt6/J4WloakpOTXa4yrVWrFlavXm34XWDG7Nmz8dprr7kcbyD/ioXCvzEK\n9OjRA0888YSwLZvNhh9++AEPPvigtmwMkH8ML168KB3nt27d2uU3FgBcvHhR+72QmJhoKrYvrWNM\nROQvODBPRH6l8ED6qFGjtKViPFE4aPztt99w/PhxS/omEh0djS1btmDSpEkuy8IoioLatWvj/vvv\nx+7duw2BrNUKlrMB8gPndu3aSdft0qULNm3ahCFDhiA6OtrSfnXv3h1Hjx7FtGnT0LlzZwQHB2vP\nBQYGok6dOhg2bBi++uor9O3b19JtExEREZVH0dHRWLx4MTZt2oQ777wTDRo0cImZQ0ND0alTJ7z5\n5ps4deoUpk+f7rJGuBnjx4/Hrl27MHr0aG0ddACoUqUKRo4cic2bN3s0McRTTZs2xc6dO/H888+7\n7K/dbkenTp0wd+5c/PDDD4bB7JKqVasWtm3bhlmzZqFnz54IDQ3VnrPb7YiPj8dbb72FQ4cO4frr\nr7dkm4qiYOLEiTh27BheeOEFtGvXzmUSjc1mwzXXXIMHH3wQO3bswMqVK9GyZcsi2wsICMCHH36I\nP/74A/fccw/q16/v8n6pXLkyrr32Wjz99NNYvHhxke189dVX+OCDD9C6dWuPlhp1pzSOMRGRv1BU\n1UvZWYiITEhMTNRmRsTExLgEZp74+++/tdlChdvJyMjQ1tiMiIhw+WEhkpqaqq3BWLVqVZeEryKZ\nmZlIS0tDdHS0IWC9cuUKUlNTAeQnUKpUqZKhfnZ2Ns6fPw8gf3ZQVFSUmz3N9+yzz2oJkz755BOX\n5GCeunz5Mi5fvqwdP/1xMtvHApcuXYLD4UBUVJSpP7wQERER+aO0tDSkpaUBMBcjFcTBdrsdNWvW\n9Kiuw+FASkoKAgICUKVKFekYy+w2U1NTYbPZDLF04Xg3KioK4eHh0m0WduHCBVSrVg0AcN111+GP\nP/5weT43NxepqamIjo6G3W53257T6cTff/8NAAgKCkJsbKypfgH5sWxeXh6io6M9imUHDRqEhQsX\nAshPdnrdddd5tN3U1FTk5uZK73Nx8vLykJycjMqVK5v6vZWXl4fU1FRkZ2drv91q1arlMis/OTlZ\ny0VQvXp1jwbzzR7j8+fPa/kWatas6fY4nT59GkD+Hy/0V/kSEfkCB+aJiMq4nJwcXHXVVTh37hzC\nwsJw5swZt39wICIiIiLyV+4G5sui7t27Y/Xq1QCAo0ePokGDBqXcIyIiKm1cyoaIqIybMWMGzp07\nBwAYMmQIB+WJiIiIiPyIqqrYv38/gPzlWWrXrl3KPSIiIn8QUNodICIi81asWIEXXnhBu3/fffeV\nYm+IiIiIiKiw7OxsTJkyRZtI06JFC5e8S0REVHFxYJ6IqIwZOXIk1q9fj9TUVKSnp2uP33zzzejY\nsWMp9oyIiIiIiABgw4YNGD58OC5cuICcnBzt8dGjR5dir4iIyJ9wYJ6IqIw5f/48EhMTXR6LiIjA\nRx99VEo9IiIiIiKiwrKysrSEswVatWqFhx56qJR6RERE/oZrzBMRlWF2ux3dunXD2rVr0bRp09Lu\nDhERERER6dSoUQOPPvooVq9ejZCQkNLuDhER+QlFVVW1tDtBRETyLly4gKysLNhsNkRHRzO4JyIi\nIqJyxel0arPNg4KCEBsbW8o98lx2djYuXLiASpUqoUqVKqXdHSIi8kMcmCciIiIiIiIiIiIi8iEu\nZUNERERERERERERE5EMcmCciIiIiIiIiIiIi8iEOzBMRERERERERERER+RAH5omIiIiIiIiIiIiI\nfIgD80REREREREREREREPhRQ2h0g38vLy0NCQgIAICIiAjYb/z5DRERUFKfTibS0NABAXFwcAgK8\nGz45nU5cunTJq9soSpUqVRgXEJUSxuhERETyGKNTecCB+QooISEBDRo0KO1uEBERlTnHjh1D/fr1\nvbqNS5cuITo62qvbKEpycjKioqJKZdtEFR1jdCIiInMYo1NZVWEH5h0OB/bv349t27bhzJkzAIDW\nrVvj1ltv9bit7OxsrF27FsePH8eVK1cQFxeHli1bonnz5lL1U1JSsGrVKpw+fRrBwcFo3LgxunXr\n5vW/9hERERER+RNVVXHo0CFs3boVCQkJUFUVDRs2xMiRIz1uKy8vDxs3bsThw4eRmpqK2rVro3nz\n5mjVqpVU/fT0dKxatQonTpyAzWZDgwYNcPPNNyMkJMTjvhARERER6VW4kd/p06fjhx9+wO+//470\n9HSX5+68806PBuYzMjIwadIk/Oc//8Hly5cNz7ds2RLvvfcebr75ZmH97OxsTJw4ER988AFycnJc\nnouNjcX06dMxfPhw6f7IioiI0G4v7NIBlQMDLd8G+SenUy3tLhCVGzabUtpdIB+5nJuLgWu3AHD9\nDvWFgOZDAXuQdzfiyEHege+9uw0iN+bMmYOvvvoK27dvR2pqqstzvXr18mhgPi8vD++99x6mTJmC\n5ORkw/ONGjXC5MmTcfvttwvrO51OvPPOO3jttdeQkZHh8lyVKlXwxhtv4P7775fuj6zC55cFN7RH\n5UDrf6o5HU7L2/SE6vBuLKpatHuqRcdJNRl7Oy08Tmb3xWzf9azcFz3VWbrvZ29TvLhshc1uTRyr\nmIyHFbs1+2Z2P8z2W9iWRfuieHGVEsWi17skbBYdp8Iu5+ZhyKatABijU9lV4Qbm58+fj40bN8Jm\ns+Gaa65B27Zt8dVXX3nczoULF9CjRw/s3r0bANCsWTN07twZUVFRSE5OxtatW7F3715s375dODDv\ndDoxfPhwLFq0CADQqlUrdOnSBenp6Vi8eDGSkpIwYsQIpKam4p577inZTusUXpeqcmAgIjgwX2Fw\nYJ7IOhyYr5h8vbajEhgKJSDYq9tQ8+xebZ9IxtKlS7Fy5UooioLGjRsjPj4eP/zwAzIzMz1qJyMj\nA/369cPq1asBAHXr1kX37t1RrVo1XLp0CTt37sTvv/+OdevWFTkw/8ADD+DTTz8FADRp0gS33HIL\nHA4Hli1bhlOnTuGBBx7AmTNn8Prrr5dsp3VcY/QAr8ToTlspD8zbvDwwb9EgsFMp5YF5xcKBeZP7\nYtmxhBcH5i16nfxVmRiYNzswXo4G5q0acPbm4Hl5HZh3aZ8xOpVRFW5g/pFHHsGkSZPQrl07VKpU\nCVlZWR4PzDscDvTt2xe7d+9GWFgYZs6cKQzs9+/fX+SPiY8++kgblH/hhRcwadIk7bl3330Xt956\nKzZs2IAHH3wQ3bp1Q5MmTTzqIxERERFRWTF27FiMHz8e8fHxiIyMBABUrVrV44H5kSNHYvXq1QgI\nCMD06dNx7733QlFcBySOHz+OxMREYf0ff/xRG5QfP348ZsyYAbs9/4dxTk4ORowYgR9//BGTJk3C\nLbfcgs6dO3u4p0RERERE+SrcwPywYcNK3Ma0adOwfft2AMA333yD2267TVju6quvFj6ek5OjzbBp\n3769YbZNREQE5s6di0aNGiEnJwevvfYa5syZU+J+ExERUdmi2OxQbF6eLePt9okkmMnzpPfNN99g\n8eLFAPKXr7zvvvuE5erXr19kgriJEydqZT7++GNtUB4AgoKCMHPmTKxfvx4XLlzAxIkTsWbNmhL3\nm4iIiMoWxuhkFd9e61EO5ObmYtq0aQCAW265pchB+eKsWrUK58+fB5B/qax+Fg8AxMXFYcCAAQCA\nhQsXIisrqwS9JiIiIiIq39566y0AQIsWLXDvvfd6XH/Pnj3Yt28fAOCuu+5CcLDxEvUqVapg7Nix\nAIB169bh77//LkGPiYiIiKgiq3Az5kvql19+wdmzZwEAd9xxh6k2Vq5cqd3u2bNnkeV69uyJ7777\nDunp6di0aRO6d+9uanvFUWw2y9Z3K01WJWgq73y5JjbXsydf45rv/qk8fMcojrK/D0Tl3e7du7Xc\nT+PGjRNOfHHHkxj9vffeg6qqWLVqFf71r3953uFSIrPGrzcTxIrWObYyIay+fbNti45TaSfOlWE6\n0atV68lbmbS2nCd2lSFzDMyuQ69/rcyu1S5678isZy56r5aFmNHKddLLy5ry3l47nqi848C8hzZs\n2KDd7tKlCwDgwIED2LhxI1JSUhAdHY34+Hi0bNmyyDYKZuJUq1YNNWrUKLLctdde61LHGwPzRERE\n5L8Um80Hl8nyBxWVfYVj9K5duwIATpw4gTVr1iApKQmRkZFo06YN2rRpU2SCuIIYXVEUtGjRosht\n6WN0IiIiqlgYo5NVODDvoT179gAAoqOj4XQ60adPH6xYscJQ7vrrr8cnn3yCtm3bGp47ceIEgPzl\naopT+Pnjx4971M+UlJQin0tNTfWoLSIiIiIif1YQowNAzZo1MWrUKHz77bdQVdfZnM2bN8eHH36I\nm2++2dBGQYxerVo1hISEFLmtmjVrwm63w+FwMEYnIiIiItM4MO+hixcvAgBCQ0PRtWtXHDlyBA0b\nNsQtt9yCsLAw7Nq1C7/99hu2b9+Ozp07Y+XKlbjxxhtd2khLSwMAVK5cudhtFX7+8uXLHvUzOjra\no/JERETkf5hYikhO4Rh90KBB2L59O2rVqoW+ffsiMjISBw4cwIoVK3DgwAH06tUL8+fPx+DBg13a\nkI3RbTYbwsPDkZaWxhidiIioAmKMTlbhwLyHrly5AgBITEwEADz44IN47733EBDwz6FcsWIFBg0a\nhMzMTIwcORJHjhxBUFCQ9nxmZiYAuDwmUjjhVEEdIiIiIiJyVRCjZ2ZmYvv27Rg6dChmz57tMvN9\n27Zt6N27N1JSUnDHHXegS5cuiImJ0Z6XjdGBf+J0xuhEREREZBYH5j1UOLhv2bIl3n//fdjtrn/F\n6t27N5577jm8/PLLSEhIwIIFCzBy5Ejt+dDQUKSlpSEnJ6fYbWVnZ7vU8URycnKRz6WmpqJBgwYe\ntefvykKimIqWoJaJOIm8qyyc96jkFLsdit3Ls2VUzsahsq9wjF6jRg3MmjXLsBxNfHw8pk6dijvv\nvBNpaWn48ssv8dRTT2nPF8Tb7mJ04J84vTzG6L5OfOrNhLBWtq0/LjLHRBHEw6rT/fZFiThlEquK\nYgNv/gaxKtmrlYlerUxA60umk6/qjp1VyWBL0icZZuNYs30SfRbdb4uJXkWY7DUfY3SyCj9RHip8\naeuYMWMMg/IFxo0bp91es2aNsI2CmT1FKXxprLtLavWioqKK/BcZGelRW0RERERE/qxwrDxs2DCE\nhYUJy40cORKBgYEAzMfoTqcTGRkZhu3KYIxORERERAU4MO+h+vXra7ebNGlSZLm6detql8GePn3a\n5bl69eoBABISEordVuHnC+oQERFRxWFT7LDZvPxP4WwcKvtkY/TQ0FDExcUBKDpGT0pKcrlyVe/M\nmTPIy8tzqUNEREQVB2N0sgqXsvFQixYttNuKUvwlQ0U9f80112DVqlVISkpCUlISYmNjheX+/PNP\n7fbVV19tordEREREROWfVTE6AKiqin379qFNmzbCcozRiYiIqLzIzc3F7t27cejQITidToSHh2PQ\noEElbvf8+fP4+eefPaoTHx9vmGCxc+dO7N+/323dkJAQDB061KPt+QMOzHvolltu0W4fOnSoyHIJ\nCQnaTJuCWTkFevTogQ8++AAAsGrVKowaNUrYxqpVqwAAYWFhuOGGG0rUbyIiIip7FJsdis3Ls2W8\n3T6RD3Tv3h0BAQHIy8srNkbPysrSrkoVxegFVq1aVeTAfEGMriiKSx0iIiKqGMp6jL5z507MmjUL\n27Ztw65du1yuFKxdu7YlA/MHDx7E2LFjParz8ccfGwbm586di3fffddt3ZiYGA7MVwQtWrRAy5Yt\nsXfvXsydOxdPPPEEbIIEK7Nnz9Zu6wP2nj17IiYmBhcvXsTHH38sHJj/+++/8eOPPwIAbrvttiLX\nySQiIiIiquiqVq2Knj17Yvny5ViwYAHeeustQ/JXAJg/f76W3FUfo7dq1QrNmjXDX3/9hc8//xyP\nPvqotjRlgStXruCrr74CANx4442oU6eOl/aIiIiIyDt++uknTJ8+HQAQGBiINm3aICEhAefPn7ds\nG7GxsRg9erTbcosXL9ZybHbr1q3IciEhIRgyZEiRz3ua98dfcGDehDfeeAP9+/fHH3/8gaeffhpv\nv/22y+D8mjVrMGnSJABA48aNMXDgQJf6wcHBeP755/HEE09g48aNmDRpEl588UXt+fT0dIwZMwbZ\n2dmw2+146aWXvLYvNrviktm8rGaxLwvMZp73R6rDWdpdIDKlPH0OybsKfzcWvu1ris3mg9k4/FxQ\n+TBp0iSsWLECiYmJmDBhAr788kuXgfXdu3fjiSeeAJA/kD9+/HhDG6+++iqGDx+OI0eO4NFHH8VH\nH32kLX2Tm5uLCRMmICkpSSvrLYpdgVLo3KOWcoxuk/j+dFoYHyoS512zx0Tfttl2RMdE5hgoNuO+\nqc7SfX1Fx1vmuOi/H/lbsuwyG+vIfFZ9TfQZkyFznpPavoXHxJfH16r997bCx0RxMkY3q23btnj/\n/fcRHx+P1q1bIyQkBF27dsXatWst20aTJk0wZ86cYsskJCTgm2++AQB07NgRzZo1K7JslSpV3LZX\nFlW4gfk//vgDS5cu1e4XJG4qeK5gQB0AgoKC8PTTTxva6NevHx599FG8//77ePfdd7F8+XL07t0b\nYWFh2LlzJ5YvXw5VVREREYHvvvsOAQHGw/zII49g1apVWL58OSZOnIhly5aha9euSE9Pxw8//IDE\nxEQAwLRp09C8eXMrDwERERERkV85duwY5s6d6/JYZmam9lzhGB0AnnrqKQQHB7s81qZNG7zzzjt4\n8skn8fXXX2Pjxo3o378/IiMjceDAASxatAi5ubkIDg7GN998g4iICEM/br/9dqxYsQIzZ87EJ598\ngg0bNqB3795wOBxYvHgxjhw5om2/e/fuVh4CIiIiIp/o06cP+vTpU9rdwOzZs+F05v9RWzRhoiKo\ncAPzv//+OyZOnCh8bseOHdixY4d2Pzw8XDgwD+QPmNerVw8TJ07E/v37DYkIunTpgs8++wxNmzYV\n1rfb7ViwYAGefvppfPLJJ9iyZQu2bNmiPR8VFYX33nsP48aN83QXiYiIqJzIn43j5RlMnDFPfuDQ\noUNFxuiHDx82PPfggw8aBuYB4IknnkD16tXx+OOP48SJE/jwww9dnm/dujU+/fRTxMfHF9mXGTNm\n4KqrrsKUKVOwd+9e7N27V3suLCwMr732Gh5//HFPdo+IiIjKEcbo1pg1axaA/Pjq9ttvL+XelI4K\nNzDfunVrvPDCC1JlRcF+AUVR8Mgjj+Duu+/GypUrcfjwYWRkZKB69ero1KkTrr76arfth4aG4sMP\nP8TEiRPx888/IyEhAcHBwWjSpAluueWWYrdPRERERFReNGzYUDpGByBcP77AmDFjMHz4cPz666/4\n66+/kJaWhqpVq6JDhw5FJnQtLCAgAK+88goeffRRrFixAidPnoSiKGjQoAF69+6NSpUqSfeTiIiI\niIw2bdqEQ4cOAQCGDBkivJKxIqhwA/Nt27ZF27ZtLWsvNDQUt912W4naiI2N9ThTMRERERFRedG4\ncWPDcjUlERgYiN69e6N3796m24iMjMSIESMs6xMRERER5fvf//6n3b7jjjuk6hw7dgz79+9HZmYm\noqOjcd1116Fq1ape6qFvVLiBeSpeaSa4K8sqWqIjJtAkKht4Ti8HbHavJ5ZSvZ24iohKzGwCQF8m\njS2rCWJlj61cMlTXYyC7v/pklaJksDLf6aLfJPq4XZXtk0VJcqW2JViuQXWae6+UhYS0VsZnXl9K\no/C2TCeIleujmePi60SvZSWxa1lI5OqPiYM9whi9RLKysjB//nwAQP369dG1a1e3dc6dO4eGDRsa\nHr/hhhvw8ssv45ZbbrG6mz7BgXkiIiIiIiIiIiIiP5Samlrs81FRUb7piEV+/PFHXLp0CQDw73//\nG4ri/g81UVFRaNSoEeLi4pCbm4vdu3fj1KlT2LRpE3r16oVXXnkFL7/8sre7bjkOzBMRERH5KcUH\ns3G83T4RERERUXni6xi9QYMGxZZVVf+7Oqg4BcvYKIqCcePGFVu2e/fuGDx4MDp06ACb7iqh5cuX\n46677kJiYiJeeeUVNGvWDMOHD/dWt73C/69vISIiIiIiIiIiIqIyLTExEatWrQKQP+het27dYsv3\n7dsXN9xwg2FQHgD69OmD3377DWFhYQCA559/3voOexlnzBMRERH5Kc6YJyIiIiLyL76O0Y8dO4bI\nyEivbs9XvvrqKzj/P4+IbNLX4jRp0gR33HEHPvroIy057NVXX13idn2FM+aJiIiIiIiIiIiI/FBk\nZCSioqKK/FeWzJo1CwBQpUoVDB482JI2O3bsqN0+evSoJW36CmfME1nATAZ5IiIidxSbHYrdy7Nx\nHJwxT1ReKSZiVNXhvXVqbXZz88KcDqepejL7L7u/ZtqS3V/9/ik2uddNdeq3Z6zn1PVJkeyTqu+T\nxP7Lvrr6PokogiUL9FSn+/dFWf6dJnMMZJg9BjKvuez7SU+mT7KfA2Pb5vpk5nzpzXZEzO6bN3lz\nf/0ZY3RztmzZgoMHDwIARowYgdDQUEvaDQ4O1m7n5ORY0qav+N+nmoiIiIiIiIiIiIjKjYKkr4A1\ny9gUOHDggHa7Vq1alrXrC5wxT0REROSnFJvNB+tXcp4GEREREZEsxuiey8rKwrx58wAAV199Ndq3\nb29Ju5mZmfjyyy8BAJUrV0bbtm0taddXODBPRERERERERERERFJ27NihzVTv3bs3qlatWmz5hQsX\nIjU1FYD8bPnTp08jICAANWrUED6fmpqKUaNG4cSJEwCAhx9+GEFBQXI74Cc4ME9ERETkpxSb3Qez\nccrf+pVERERERN5S1mP0jIwM/PDDDy6PnTt3Tntuzpw5Ls/16tUL1apVc3ls9uzZ+OCDDwAAmzdv\ndjswX5D0NSAgAGPGjJHq56pVqzB+/Hhcf/316NChA2rUqIHq1asjOzsbu3fvxvz585GSkgIA6Nq1\nKyZOnCjVrj/hwDxRIRU1cQkRUWHeTPxHRET+zcp42KrvE28mjTW7v6J9M5tsVmb/RPsikxzT7EII\nTlM15ZL02nXHyfT7RJB4USaxrD+yKkmt2fezN5O4CrdXBhK7entsoLQTuXLso2JLTk7G2LFjhc+l\npKQYnlu/fr1hYN4Tf//9N1auXAkA6NOnT5Ez4PWuuuoq1K5dG9u2bcO2bduEZSpVqoQHH3wQr7zy\niksS2LKCA/NEREREfspms8Pm7RntnDFPRERERCStrMfo4eHhGD16tHT52NhYw2Pt2rXT2nA3aH/w\n4EGMGDECAHDXXXdJb7d79+5ISEjAn3/+iQ0bNiAxMRFnz56FoiiIjY1F69at0bNnT0REREi36W84\nME9ERERERERERERUAURFRRmWq/HUmDFjpJek6datG7p162Z6Wy1atECLFi1M1/dn5SvFLxERERER\nERERERGRn+OMeSIiIiI/VdYTSxERERERlTeM0ckqHJgnjzFJSNllNqkPERmpEgnlyqryfp5nclsi\nIt+w6vvE7HnbyuSK+uSrvv6utAsSnUodF101mYS4AGDXJedUnTLbMpeMVZEce5KJvfSJZcsTK3/L\nmUnaWhYStnq7LSZsJSKrcWCeiIiIyE9xNg4RERERkX9hjE5W4fRZIiIiIiIiIiIiIiIf4ox5IiIi\nIj+l2Gw+mI3DeRpERERERLIYo5NV+CoTEREREREREREREfkQZ8wTERER+SmuX0lERERE5F8Yo5NV\nODBPxWLWbzlKKWdnt5KtHL3miq387EtZoDrV0u6CZZwO9/tSFj73qsNZ2l3wS/rvNlXi9SYi8iWb\nTYGtUBzjLEffsWb4+jeJ6HvBZtX3vmCcxWny+9rM95ndLjfQY2jL5PiQYrMwFgl0/xqU1XjU179b\nrHo/W/nZtKotyz6rkjhm4luFvxtt/L1P5QAH5omIiIj8lKL4YDaOwtk4RERERESyGKOTVfx/uh8R\nERERERERERERUTnCGfNEREREfkqx26FILjtQkm0QEREREZEcxuhkFc6YJyIiIiIiIiIiIiLyIc6Y\np2LJJBAqT8lO/DGZo6+TsZZ2wlRfJ+uxij9+Dnye0NKiP+ibTYBmJV++C2USzZpl9pxWnpLGlvXE\nrorNB+tXerl9Iio5JrizjkwiXV/HdbIJWfWsStBqlkzMZvPxXMCy+r3vj78lSvt3mT8eE7N4Di9/\nGKOTVcrmCBgRERERERERERERURnFgXkiIiIiIiIiIiIiIh/iUjZERERE/spm8/5lrDbO0yAiIiIi\nksYYnSzCV5mIiIiIiIiIiIiIyIc4Y56IiIjITzGxFBERERGRf2GMTlbhwDyVmGzme3/Mqq74MNO8\nzYv7r1iY5d3mxWPizfeAL1/LskIp5e9x1eE0Vc9ul+u47LnHDCfM9V1Pdbrvo9lzg9OL+y/6PJl9\nPb3Jm+8BIiIqn2wWxs2lrpT3xR7I+JuIiKgkODBPRERE5KdsNsXrg0hqeRqkIiIiIiLyMsboZBUO\nzBMRERGR1126dAlnzpxBVlYWqlatijp16nhtW1euXEFCQgKcTifi4uIQERHhtW0RERERERGZwWvP\niIiIiPyUYlN88s8bTp48ialTp6Jfv36IjIxEZGQkmjdvjtatWyMuLg41atTA448/jqSkJMu2uXv3\nbvTt2xdRUVG4+uqr0aJFC0RFRaFnz57Yvn27ZdshIiIiooqrLMfo5F84ME9ERERElvvuu+/w1FNP\nYdmyZbh06RKCg4PRtGlTtGrVCuHh4Th37hzee+89tGjRAjt27Cjx9hYtWoT4+HgsX74cDocDTZo0\nQbNmzQAAq1atwg033IBvv/22xNshIiIiIiKyApeyIZ8xk6TP2wlj9ckMrUwgalWyV7N/JbUqiavZ\n18DKY6nYrGnLm4ltKxqnRCJQ2ddNdZpLKqpPbms2Oano3GT2vaI/LjKfX5kEsSKic4xVCWF9neiV\nSVyLpkCBonj3u1CBd9u/5ZZb8MADD6BHjx4ICwsDAOTk5ODjjz/G008/jfPnz+PWW2/FX3/9hcjI\nSFPbOHr0KEaNGoWcnBw0a9YMCxYswNVXXw0AOHToEIYNG4Y9e/bg3//+N1q2bIlrrrnGqt0jIh+w\nMq70Jqvif7O8/dvJ/fbLxutERr6O/cR9KN140Ko42pv84XWifOUhRif/wG9OIiIiIrJc8+bNsX79\nevz888+47bbbtEF5AAgKCsKjjz6KqVOnAgDOnTuHGTNmmN7WSy+9hIyMDISEhGDx4sXaoDwANGnS\nBEuWLEGlSpWQnZ2N559/3vxOERERERERWYQD80RERER+ymZTfPLPG2699VZ06tSp2DJ33303goOD\nAQBr1qwxtZ20tDR8//33AIDbb78djRs3NpS56qqrMHbsWADA0qVLLV3XnoiIiIgqlrIco5N/4cA8\nEREREZWKkJAQREVFAQAuXrxoqo1ffvkFOTk5AID+/fsXWa7gOafTieXLl5vaFhERERERkVW4xjwR\nERGRn1JsiulcI55so7SkpqZqs9djY2NNtbF7927t9vXXX19kucLPFa5DREREROSJ8h6jk+9wxjwR\nERERlYovv/wSzv9PAN29e3dTbRw+fBgAYLfbUadOnSLLVa1aVVvn/tChQ6a2RUREREREZBXOmK/g\nnA61xNnHbXbv/RVPNjO74sU++JLZv4ja7Ob+xiZz3BSzbdvM1TO/L76tV9GoDqfLfbvEcdPXKZKu\nLadsPcu4357suUj//pXZF9HnXnWW7LzsT2SPnbeU9DvOqjbKitTU1GKfL1h2xgqnT5/Ga6+9BgCI\niYnB+PHjTbWTkpICAIiIiIDdbi+2bFRUFDIyMtzuJxH5jq9jMW/+djH7m8TsMTCzL/74e0O+rYod\nt0vH1lJteR7bmI3Rzca1ZuMvs8fJm+8uq2JJs58BK987RGQtDswTERER+SlfXybboEGDYsuqqjU/\nLLOzszF48GBcunQJAPCf//wHVapUMdVWeno6gPz16t0JDQ11qUNERERE5CkuZUNWqdh/ciYiIiIi\nn3I6nRg7diy2b98OAHjggQcwYsQI0+0FBOTPM3E4HG7L5uXludQhIiIiIiIqLfxVQkREROSnbIoC\nm+Ld2TJqofaPHTuGyMhIr27v/vvvx3fffQcAuP322zF9+vQStVe5cmUAQEZGhtuyBWUK6hARERER\necrXMTqVXxyYJyIiIiIAQGRkpKXryOs9/fTT+OyzzwAAt956K+bMmQObyZwkBWrWrAkAuHLlCi5f\nvlzkoHtubi4uXLjgUoeIiIiIiKi0cGCeSszKpHhmkzHpk9eYTTIkSorij0mGZJIveTP5lExiV7k+\nyh1bXyagVdwkDqwIVMFyEDLHUnW6fn5kXzeZxLIyCYtkUhrp+wiI+6nfnuznSX8uEn0OfJ/c1j2r\nEkJZmei1IiVcLU55Wr/y1VdfxTvvvAMAuPnmm/H9998jMDCwxO02b95cu33o0CG0bdtWWO7o0aNw\n/v85oHAdIvKdspLo1ZtxtEyfZM/LVv0mMBv/WxnvW9Wn8kQUtxrKmE3IKhNb68rYJPoj27ZMzKjY\nJNoRJZYV/J6TiyvNHkv3bct87hn7li3lKUan0lW+v8mIiIiIqNRNnToVr7zyCgCgU6dOWLx4sVSy\nVhmdOnXSbq9fv77IcuvWrdNu33jjjZZsm4iIiIiIyCwOzBMRERH5qYLZON7+502ffPIJnnrqKQBA\n+/bt8dNPPyEsLMyy9tu1a4errroKADBr1qwiyxU8V61aNdx0002WbZ+IiIiIKpbyEKOTf+DAPBER\nERF5xVdffYUHHngAANCmTRusWLHC48Srhw8fxpYtW7Blyxbk5OQYnlcUBU8//TQA4I8//sB//vMf\nQ5mZM2di06ZNAIAnn3wSdi5bRkREREREpazCrzGfk5OD5ORkAEBYWBgiIiIsaQvIn5HlyQ+/y5cv\nIygoCMHBwab7QEREROWHYgNsXp4t4/TSNI0lS5Zg/PjxUFUV0dHReO211/DXX38VWT4oKAht2rQx\nPP7cc89hwYIFAICEhATUqVPHUObuu+/GvHnzsH79ejz88MPYu3cvBg0aBEVRsHTpUnz88ccA8mfX\nP/zwwxbtIXlTXl4eLl68CFVVERwcXKKkxA6HA+fPn9fux8TEeJTfID09HYqiWHqlBxEREZVdZTlG\nJ/9S4Qbmjx07hk2bNmHr1q3Ytm0b/vjjD2321Z133on//ve/ptu+++67XS6hPn78OOrVq1dsnb17\n9+LNN9/EsmXLkJaWBgC46qqrMGLECDz//POoUqWK6f4QERERlZaff/4Zjv9PJp2cnIx+/foVW756\n9eo4e/asqW0FBgZi4cKFGDVqFH7++WfMmDEDM2bMcCnTtWtXzJs3z7K17claiYmJ2Lhxoxaj79ix\nA5mZmQCAXr16YcWKFabbfvnllzF58mTt/vr1611yE4gcP34ckydPxqJFi3DhwgUAQI0aNTB48GC8\n+OKLqFmzpun+EBEREZU2VVVx6NAhLfY6dOgQnE4nqlWrhm+++caSbcyYMQPz5893W65KlSraRJzi\n7N69G/Pnz8fhw4eRnZ2NuLg43HrrrejVqxdsZTQheIUbmP/Xv/6FjRs3avc9mS1TnBUrVhS7rqnI\n3Llzcccdd2h/GKhUqRKys7Nx6tQpvP322/jmm2/w22+/oVGjRpb0UUR1Ok1nci+OYjf3gZDJRC6T\n0VwmMzoAKFJtuR4f2X3T74tMv31NZl8UwcnNJlPPojJF9cHYlrllCcy+V8vqSd/pdP95Fx0TmfOE\n/jVQ/39AzldkXhHRXqiCY6I/Bt44T5aUzPlSxOy+yJ5X3THbbxneep1E7xFfUZT8GTne3oY31K9f\nH+3bt5cuHxMTI3y8SZMmWjvFXVUYHR2NFStW4Oeff8aPP/6IY8eOQVVV1KtXDwMGDMCtt94KxVs7\nSyX2xBNPYN68edp9u90ORVGgqiU7Z+zatQtvvfWWR3VWrVqFwYMH4/LlywCA0NBQOJ1OnD17Fh9/\n/DHmzZuHn376CfHx8SXqG1nPTLwt83sgv5z7k7HM9mXWDBbF2qJ+monlxW3LPeaubdl4XN+2bFxt\n5e8LfyMTw8iUEcX6cm0b43abRPwjalv/mFNUxi7x28JhfM/r41GnMLo3kvud4L6UaH/1n02rYmby\nb2U5Rgfyl3l87LHHcOnSJcNztWvXtmw7hw4dwq+//uq2XFG/Awrk5OTgoYceMky8AYCPPvoIN9xw\nA7799lvExcWZ7mtpqXAD8w0bNkS9evUQHx+P+Ph4NG/eHJGRkSVqMy0tDXfffTcAoGXLlti7d6/b\nOtu3b9cG5Vu2bImZM2eibdu2yMvLw7fffov77rsPCQkJ6Nu3L/bs2cPZXURERFSmPPHEE3jiiSdK\n3M4bb7zhUflevXqhV69eJd4u+VadOnUwbNgwLUZv27Yt6tati4sXL5puMzc3F+PHj0deXp50jH78\n+HEMGTIEly9fRt26dfG///0PXbt2haqqWLZsGe68804kJSWhf//++PPPP1GtWjXT/SMiIiIqDYmJ\niUhLS0OTJk202Ovzzz+XipXMiIqKKnbmfFBQULH1J0yYgNmzZwMAbr31VowaNQqhoaFYvXo1Pvnk\nE2zatAm9evXC5s2by9zKIxVuYF4/qz0rK6vEbT755JNISEjA4MGD0bhxY6k38pNPPomcnBxER0dj\n5cqVqF69OgAgICAAY8aMQXh4OAYPHozDhw/jww8/xFNPPVXifhIREVHZoiiK12d5cxY5+YOpU6da\n3uabb76JP/74Ax06dMDIkSPxyCOPuK3z4osvIi0tDcHBwVixYgWaNWsGIP9z0q9fPyxatAg33ngj\nkpKSMGnSJHzwwQeW95uIiIj8W1mP0cePH48HH3zQZaKyzFIyZgUFBaFHjx6m6i5fvlwblH/ooYcw\nffp07blBgwahe/fuGDRoEA4cOIDXX3/dKzGlN5XN67z8yK+//orPP/8cERERLm+O4uzfvx/r1q0D\nADzwwAPaoHxhgwYNQqtWrQAAn332mWX9JSIiIiIq7/78809MnjwZAQEBmDFjhtRSGcnJydpsrlGj\nRmmD8oV16NABffr0AZB/GXh2dra1HSciIiLyslq1apV49RBfefPNNwEAsbGxePvttw3PDxw4EIMG\nDQKQv6xNQf7OsoID8yWQnp6Ou+66C0D+Zday6zAtXrxYuz1kyJAiyxU8d/ToUezbt68EPSUiIqKy\nyGZTfPKPqDxxOBzakpFPPvkkWrZsKVXvp59+Ql5eHoDiY/ShQ4cCAC5fvow1a9aUuL9ERERUtjBG\n941z585peUJHjhxZ5DLfd9xxB4D8VVGWLVvms/5ZocItZWOlZ599FsePH0eHDh1w3333SdfbuXMn\ngPxEUsX9UCicUGrnzp245pprzHe2CE6nCqfzn+QkVn3wzSbgk0nWY1WCWEAuMYsxmYv7RJFlmUyi\nVWE9E8mYZLclk0hKKiGXVBJZ615LX78vZD53dok+CdvRHTuZJLLeJpOYWSppreB9UZrJPq0key72\nx8SupZ1wt/B3Y+HbROT/pk6dit9//x0NGzbESy+9JF2vIEYHUGxiV32M7o2cBvoYXa+s/lgv73G0\nnijRqyj5qqGeZKJXM4ldZdrJL2fX3TeW0cfWsklkjUljrUv+KnV8Tf7ekWE2hhQlSDW0bbKMqE/6\ncqJ6+nhf2LbNmDRWn9hVkUgQC8gdA+iSvdoFvxNFca0+SawqOL/qxxCsjGt9rbTjaLM8jbkZo5d/\nGzZs0M5FN910U5HlOnfuDEVRoKoq1q9fj5EjR/qqiyXGgXmT1q9fj48++giBgYHSl8cWOHjwIACg\nbt26xdarX7++oQ4REREREYkdPHgQr7zyCgDg008/RWhoqEd1AaBSpUrFJnWtV6+eoQ4RERERiWVm\nZuKll17C/v37kZmZiejoaFx33XXo378/mjZtWmS9AwcOaLeLKxcZGYnY2FicO3cO+/fvt7Tv3saB\neRMyMzNx5513QlVVjy6PLZCcnAwAqFq1arHlCj9fUEdWSkpKkc+lpqZ61BYRERGVDsWmCGdcWr0N\novLA6XRi/PjxyMrKwtixYz1OMiYbo4eFhSEsLAwZGRmM0YmIiCogX8fo7mKEqKgor/alpNLS0vD6\n66+7PDZnzhw8/fTTGDlyJD7++GNUqVLFUC8xMVG77W758Nq1a+PcuXP4+++/rem0j3Bg3oQXX3wR\nhw8fRsOGDTFx4kSP66enpwNAkWsjFSg8w+fKlSsebSM6OtrjfhERERERlVUffPABNm3ahJiYGEyb\nNs3j+rIxOpAfp2dkZDBGJyIiIq9r0KBBsc+rqv8u69OkSRP06dMHTZo0QVxcHHJzc7F7927MmjUL\nJ0+exNy5c7F//36sW7cOlStXdqlbOM4KCwsrdjsFz3sam5U2Dsx7aMuWLXj//fcBeH55bAFFyf+r\nl7sPTuHnPVkqh4iIiMoHzpgnknP06FG8+OKLAPLXmHc3611ENkYvXIYxOhERUcXDGF3OM888g6lT\npxoeHzx4MJ577jmMHz8e33zzDf744w9MnDhRG28tkJubq90OCCh+CDswMBAAkJOTU/KO+xAH5j2Q\nnZ2N8ePHw+l0mro8tkClSpWQnJyMzMzMYstlZGS41PFEcZfVpqamuv1rGxERERFRWaCqKu68805k\nZGSgW7du+Pe//22qnYJ4212MDvwTpzNGJyIiIm87duwYIiMjS7sbHisuZ09ISAhmzZqFXbt24a+/\n/sKMGTMwZcoUlysXw8PDtdtZWVnFzpoviN88jc1KGwfmPfD111/jwIEDqFSpEp5++mmcPXvWUKbg\nElgAOH/+PEJCQmCz2RAbG6s9Hhsbi1OnTgnrF1b4+cL1ZZhdX8qqrNY2k3/ZM5s9XLG7zlaSzaCu\nz7wu7pNrW4qgjqjfMn3Sb1+UHV70V1J9xnqb3Xuztcy2rd9/+Xp2U23LzFiT6ZPpfvvBjDl9H1Sn\nuc+TDJm9FW1d/Fmx68o4pPqgf61kzh+i97P+82QlmbZFn3txWxIzOGW2J3l+NLN98fa8d3z1rPoO\n8yc2RYFN8e5sGW+3T+RtK1euxNq1axEQEIBXX31VGGNfvnxZu52cnKyVqVGjhvZ4Qbx97tw5qKqq\nzaDXS0tLQ1ZWlksdWVatAWvl+c5s3G4Vme8J2fhM/10lE+ubZWXb+t8Xov0VxZr6uMYWZPx5r68n\nirVlYmu5tgX9FrWte0y0b1bF7f4Qo+uJYnTRLyC5uM61jKhtUTxqqCcoY9O15czJM7YteA0MbduM\nsb1qF+ybrn2ZCNKXcabVzMTW/ri/5TH+luHrGD0yMtLv15E3IzAwEOPGjcNzzz2HzMxMbN++HZ07\nd9aeL/zHiJSUlGIH5gvy+IjWqvdnHJj3QMHMmCtXrkglfI2PjwcAxMTE4MKFC9rjzZs3x++//46E\nhARkZ2cjODhYWP/o0aMudYiIiIiIyFVBjJ6Xl4ebbrrJbfkBAwZotzMzM7WZWc2bN8fChQuRnZ2N\n06dPIy4uTlj/yJEj2m3G6ERERETmNW7cWLt97tw5l+caNWqk3T558mSRCWBVVUVCQoKhvbKAA/Me\nCA8PR/Xq1Ystc+XKFW3WfNWqVWG32xETE+NSpn379pg9ezZyc3Oxfft2dOrUSdjWxo0btdsFg/xE\nRERUcXD9SiL3QkJC3MboGRkZ2qz56OhobR3SwrPi27dvr93euHEjRowYIWyrcIxeuA4RERFVDIzR\nrVN45RF9Hs9rr71Wu71jxw7ccMMNwjb279+vTdQoXKcs8L/ruvzYHXfcgbNnzxb778EHH9TKb9++\nHWfPnsW+fftc2hk4cKD2I2Du3LnCbTmdTsybNw8A0KZNG9StW9dLe0VEREREVHb17t3bbYz+xhtv\naOUXLVqkPV74ytVbbrlFW8u0qBi98HM1atRAhw4dvLRXREREROXf2rVrtdtNmjRxea5Dhw7aZOel\nS5cW2cayZcu027feeqvFPfQuDsyXgtq1a+P2228HAHzxxRfYs2ePocy0adNw8uRJAMDjjz/u0/4R\nERGRfyiYjePtf0SUP0vr3nvvBZD/42/VqlWGMvPmzcOWLVsAAI8++qhUjhsiIiIqXxijW2PXrl2Y\nM2cOAOCaa64xLENjt9sxduxYAPk5hXbs2GFo48qVK/joo48AAC1btkTbtm293GtrVbilbDIzM3Hp\n0iXtfnZ2tstzhZNF6ZO2WmnKlClYtWoVLl68iJtvvhlTpkxB165dkZ6ejtmzZ+Pdd98FAHTr1g2j\nRo3ySh+8yWwCEKuSxppNECXskz5Bq6COTEJYUZ9kElTJJoQ1bl+un+6IkgV5M9msiPlEsv6VNMrs\nfohIJUqT6LcoQZSonzLvZ7PJ23yaHNTCbZlNoiqT7NXXiV7NJnY1bs+641tRE0kRVVQ5OTlITk52\neUxVVe05fULX6tWrF5mctSReeOEF/PDDDzh+/DgGDhyISZMmoW/fvnA4HFiwYAFef/11APk//B5+\n+GHLt18avHm+tSqxrDh5vPs4R/T9Zja2N9O2WTKJXgHZWNeuu2+sYw8UJHY1kaDVLpEgVti2dLJb\nUYrU4ts2W8ZKZpK4AgACXe86He6TqAo/KzZB8lddPYcgsaueMAGwYHsOuG9L5jeI6FXS17I09jQb\n20vUM9+2934nMdamkvrkk0+wYMECAMCHH35oyLuzZs0abN26Fbfddpvhuby8PMydOxePPfYYcnJy\noCgK3n77beF2nn/+ecyaNQspKSkYOnQoFi1apC1Xc/HiRYwdOxanTp0CgCLb8GcVbmD+66+/xl13\n3SV8bu7cuS6XrYaHh+PKlSte6Ue9evWwdOlSDBkyBH///TcmTJhgKNOlSxf88MMPXvnRQURERP7P\nZlMsG9gqbhtEpe23335Dnz59hM+tXr0aNWvWdHksJSUFkZGRlvcjKioKy5cvR//+/XH48GE89thj\neOyxx1zKXHfddViyZIlhHVQiIiKqGMp6jH7hwgVDLp3du3drz/Xo0cPluffffx8tWrRweezgwYP4\n9ddfAcBlAnSBEydO4Nlnn8Wzzz6LiIgI1KhRA9WrV0d2djb279+vjbcGBQVh+vTp6Nu3r7Cv1apV\nw4IFC9C3b1+cOHECrVq1QsuWLREaGoo9e/YgMzMTAPD666+jd+/eJo5G6apwA/NhYWFuk0MVKFhj\n0hOVK1fW2re7+Yt+hw4d8Oeff2LGjBn46aefkJCQgODgYDRp0gTDhw/HiBEjeHksEREREZV7wcHB\n0jE6AI9j5PDwcK39oKCgYss2bdoUf/zxB7788kssXLgQJ0+ehKIoaNCgAYYMGYJx48a5bYOIiIjI\nX2VlZWmD6nrZ2dmG51JTUz3eRvfu3fHCCy9gxYoV2LlzJ9LS0nDo0CHt+YiICAwYMABPP/20YdBf\nr1u3btixYweeeOIJrFy50mVJ8JYtW+K1117DwIEDPe6jP1DUgmtEqcJISUlBdHQ0AGBl906ICAx0\nU8N3rPqLoJWXJ8pckipzuatMn2Qvf9UvZSO7tIy+n7KXjerJXEprdokY/eW2sm2JfqBX9KVspNoR\nXEZqdnv6Mk6Tbauiy3Ql2hL10dAnyeOm3564bZnLVgX1uJSNFH+6vDYtNxc9f9sAAEhOTkZUVJRX\nt1f4e7r9S4sQEFbZq9vLy7iMra8NAOCb/SMiMX+O0c3y5mw/s3GV2djeTCwvWn5SHEfrYnvB0jJm\n42+b7n3EpWzK0FI2OsKlbKRiVlE86n4pG0OMLojHRW07cvPclnHm5rrfnqiePrbPFfXbGEPq64ni\ncbPxN5eyKT2M0c3Lzs7G+vXrpctff/31qFKlistjhw4d0paQiY+PR0RERJH1MzMz8ffff+Ps2bNQ\nFAWxsbFo2LChqRVCUlJScOzYMWRnZyMuLg5xcXEet+FPKtyMeSIiIiIiIiIiIqKKKDg42LBcjaea\nNGmCJk2aSJUNDQ1Fw4YN0bBhwxJtE8hfdrCsJXgtDtdJISIiIiIiIiIiIiLyIc6Yr+BUhwrVVvQl\nTDJLtFhJ5nIqmUtiZS/5krmMUX/ZmejyV9Hla/pjJ+qTfvuiS9xkLrcVLZchs7yNzHEyu4yLzP6a\nbUu2HbP1yD2zl1VaeTmmN5fzMdu27FI5rnXkLiO1auma0r6U1h8vm3V33GSXBPIGxZb/z9vbICLy\nBrPnfKvifVHsZza2B3wXVwqX8CvlOFa43IzJZWNklskRLVvjb8tU+pqo12ajM/17TOa4yS6BKUP0\nGkjFuhb2we22vLxsjZnY2h/j6IqKMTpZhS8zEREREREREREREZEPccY8ERERkZ9SbIpXkycWbIOI\niIiIiOQwRiercMY8EREREREREREREZEPccY8ERERkZ9SbIrXZ8twNg4RERERkTzG6GQVDsxTmSNK\neGL2EiIzyUFlE7TqE8OIEunKbF+4Pd190QlbmBBWV1OmTyKiEoY+CfbFbPJIRZf8SdSOsE+6pEJW\nJh7Vk0ki5c3tC7cnkRxJtk9S7wvd9uTbdrjeN5mMVfi+0D1mvm3j51Am0asqOF/JJIQqL4leASap\nIiIiz1mVNFYurhUlHpVJCCuKR13bEifrlInRBfWEsb0rcfztkChjbFtfTqaMiNmYwqrfG8IyPkwg\nKmI2/nbqXkvAuC/ihKXm9tds/G0s477forakYm3JGF0fk4tiZP32ZWJtUVum3/OMmYkqJA7MExER\nEfkpRVGgKF6ejePl9omIiIiIyhPG6GQVrjFPRERERERERERERORDnDFPRERE5KdsNsX0cm2ebIOI\niIiIiOQwRiercMY8EREREREREREREZEPccY8ERERkZ9SbIowwbfV2yAiIiIiIjmM0ckqHJiv4BS7\nAsXOD3sBUQZ1xe7+whJRVneb7riKsrrrj73s9vXbE/VQdBLXZ6i3CWrK9ElEX8rKy3FUp2vrik2u\ndYeu78LXUte2TdC2zOsie5xKm0w/nU73ZWTaUR0O42Mm25bqt6iebnuyr5P+8ypqW1jPqa9n/Nwb\nt2WuTyIy2ytJH8ord9+DipPfk0RUumS+Ayoa0bnb6XR/nPRLA4i+A50Skay4hFN3z1hKVM+pj6Rz\nBNsLcrc1ADl5gnquP/mdObnGhoICjY/p2tK3k9+WaxlVEGuL4m+b0/UxxSFXzxBHCnZF9neCoU92\nu6l6ek5B/CvDqhhZ1I4wRtbXk4ij9a83IP7doH+Pifok/NzJ7EuO6/EVx//G84A+RhYfS8/j+KLa\nMmxf4twkbpvnfj2OX1F5w4F5IiIiIj9ltwF2L8+WcXJhQyIiIiIiaYzRySp8mYmIiIiIiIiIiIiI\nfIgD80REREREREREREREPsSlbIiIiIj8lF1RvH+ZrMK1OomIiIiIZDFGJ6twYJ78mj45U3mjT+Yi\nSmQik3hUmHxWYvuGRFMAoMtXZBMmv5VJPCRI4qRPxiTYN9H2ZBKtKhIJk0SJpfRU2cRPumRTMkmC\nfc1sQk9R0lZDGYsSxIrKySda9TyxqyiBksz2REmkRKxK9lqeEj3JnMfNJsQiIiqvVIcK1cZzY3HM\nflfKRBk2iVJyiV3lEsvqHxHG6IKEsIrdffxtrCORVBWAGuiaEFaU5NOmi+1FbYsec0rUE5EpJ/7t\n4v+k4lGTZWSSrwqTsUrE2s5cYwZeqbaFbemSCUvE7TKJXsV9MpcgVkQmji1PsX1pK3wseVypPODA\nPBEREZGfstm8PxvHUc7/CE5EREREZCXG6GSVsvnnZCIiIiIiIiIiIiKiMooz5omIiIj8lN0Hs3G8\n3T4RERERUXnCGJ2swhnzREREREREREREREQ+xBnzRERERH6Ks3GIiIiIiPwLY3SyCgfmKzibTYGt\nAn/YFbt/XTQiyiqu2I2vj0yGeKfEBTEye++EYFsOQVu6Y6k6jIUUu/t+q05Br3J17djMvW76Pop4\n8z1hZdsy7wFvtu00uX3VKfEekGxb9HnRk+mn6pRpx32Z/D55flxk9sPbZN6b3nzP+fv3kL/3j4jI\nSma/4/2BTKwnFT/IbEtQSh/+ir5fbXbj9lVdvC+qJ4pXFIdrPWHbutdT1LYotrbl5Lmvp3tMNkZX\n7Ha3bYvYTP4GkGEmTvdmbCTiNBlHi36XGcoI2ta3JWpbdL7QtyXuk/G9qm9L9J7Xx+TybbuvZ6gj\n8RuhqO3JKKvnWpnzLBHJ48A8ERERkZ8KsCkI8PIfBpz8wwMRERERkTTG6GQV/qmLiIiIiIiIiIiI\niMiHOGOeiIiIyE9x/UoiIiIiIv/CGJ2swhnzREREREREREREREQ+xBnzFZxis/ldAtSyyCZI0GoV\n2YSwxnrWJIiFbNJLmeQ4hiSuov1wn5xIRCYJjUzLMse2vLMqGamVCY2k3l/CPlizL1Ym9/Jmslf9\nuciq/Qf8L1m2LymO0tt3mw9m4zC5LVHFVlYTEIqY2RdRDOnLBLGA8TtWlMRVtD193CpONuv+HC+K\nyWVia5nty5BNGkvuiZK4StWTTKKqJ07+KlPPfaJiue27b0dYT6KPFS2pqyyZ/asICWIZo5NVyv+n\nhYiIiIiIiIiIiIjIj3BgnoiIiIiIiIiIiIjIh7iUDREREZGfsttssHv5En9vt09EREREVJ4wRier\n8FUmIiIiIiIiIiIiIvIhzpgnIiIi8lN2xfuJpewKE0sREREREclijE5W4cB8BWezK7DZ+WEva8xm\niDe24zBVTxG8Z0w2ReRTVn12ygqe363B40hEVH45HU6pcja768XmMjGFQ1BGFEfD6RpIqw5z3zuK\n3dwF8Wa/54T7QuWGVXGzU7IdVfKz6NK2U7Ztz/dF9txARFQSHJgnIiIi8lN2mw9m43i5fSIiIiKi\n8oQxOlmFa8wTEREREREREREREfkQZ8wTERER+SnOxiEiIiIi8i+M0ckqnDFPRERERERERERERORD\nnDFfwSl2hUl7/IivE1PKJuIxENQzk6xHRDaBjwxvHs+ymgxIn7jMSladS2wWzgwwmwRNz9fJP3le\n9i+l+XrYFAV2xbvbt3m5fSLyb/rYoKzGON5m2XFxuC+imo1fct330devr9l4vDzF8f4Yf/sytvHm\n/vN85XvefD3LkvIWozscDiQmJsLpdCIgIAB16tTxynYuX76MK1euICoqCiEhIVJ1UlJScOnSJbfl\n7HY74uLiStpFn+PAPBEREREREREREVEFcP78eaxZswbbtm3D1q1bsXPnTqSnpwMAateujdOnT5d4\nG2lpafj555+xZs0arFu3DsePH9e2oSgKmjZtimHDhuGRRx5BTExMke1MnjwZ7777rtvtxcTE4MKF\nCyXut69xYJ6IiIjIT3H9SiIiIiIi/1LWY/TPPvsMEydO/GdbdjuCgoKQk5Nj2TZ++uknjBw50uWx\nSpUqoXLlykhKSsJff/2F119/HZ9//jkWLlyI9u3bF9uezWYrdkZ8dHS0Jf32NQ7MExERERERERER\nEVUAsbGxGDp0KOLj4xEfH4927drh1ltvxdq1ay3fVqNGjXD//fdjwIABaNCgAYD82fSffvopJk6c\niLNnz6Jv377Yv38/qlevXmQ71apVw4kTJyzvX2njwDwRERGRn7LbvD+jnUuFEhERERHJK+sx+t13\n3427777bexsAULVqVcyYMQN33nknbDbXnYmIiMDTTz+NmJgYTJgwAcnJyXj33Xfx9ttve7VP/og/\nxYiIiIiIiIiIiIjIEj169MBdd91lGJQvbPz48YiNjQUArFq1yldd8yucMV/BKXYblEJ/hrP5MDu7\nP3I6VK+1rUpkjFckj78q0U+ZfZHpk9Mpd0zk+uS6PZk6ZtsGAFWi72Zfc5lj548Uk392lzk3KLoZ\nAzbJbcm870VlZNpXJN4DNomZDk7Jv2NLHSeLzrNmX0sZFf27AHA9N3jzWBMRiSh2pdjvC9kYygzZ\n728zRPFaeWb2dXI4HJa1JXPMRTGzVb8lRP2Watsp8TvFdBzvvc+PiNnYTy7+dv95FbUjF3+bbFsi\ntjZ7nrEujq5Ysa43z+ve5O51UpwV63UsjxRFwVVXXYWkpCScO3eutLtTKjgwT0REROSnAmwKArx8\nmay32yciIiIiKk8Yo1tDVVWcOnUKgHzy1tTUVGRmZiIqKgohISHe7J5PlM0/mxERERERERERERFR\nmbR8+XIkJSUBAG666aZiyyYnJ6NWrVqIiopCrVq1EBoaimbNmuGZZ57B33//7YvuegVnzBMRERH5\nKbtN8UFiqfI/G4eIiIiIyCq+jtFTU1OLLRsVFeXVvnhDVlYWHn/8cQCA3W7Hww8/XGz53NxcnD17\nFrGxscjNzUVKSgoOHjyIt99+GzNmzMCcOXNw6623+qLrluKMeSIiIiIiIiIiIiI/1KBBA0RHRxf5\nryy6++67cfDgQQDAM888g6ZNmwrL1a9fH2+99Rb27t2LzMxMnDt3DsnJyTh16hSef/55BAQEIDU1\nFUOGDMH27dt9uQuW4Iz5Cs4WaIM9kH+fKSDzF0+ZhKIisskjDduzMEmWmWSv4oRNgkSrDs/rySaa\n0vdbNomUmaRR8glpvZeQyiy5xKMSCVOFiVY9Tz4lm2hK3yfZJFL6JEbitt0npBW9kvqEsKLX26qE\noN5MyCvcHmdHSyn8fWBTS+970qZ4fzaOTeF7gqis8YfEhWYSaJaVBIRmk9TKHBOZMrLb18fS3oyj\nxW3r42hjv2XqOVVjGYfgMWMZ0WMmE+5aFLab/WjaBd/FMm3p64m+02Vie1E8aoyjRTG6sZ6xbffx\nv7CeKP7R5UWWPafo+yD6HJhP0ls2zmtm+MN3jb9ijF4yb7zxBmbPng0A6NKlC1599dUiyz7wwAPC\nx+Pi4jB58mR07NgRt912G7Kzs/H4449j/fr1Xumzt5TfMwgRERERERERERFRGXbs2DEkJycX+a8s\n+eyzz/DCCy8AAFq1aoVFixYhIMD8vPF+/fph8ODBAIANGzbg9OnTlvTTVzhjnoiIiMhPcY15IiIi\nIiL/4usYPTIyskyuI683d+5c3H///QCAZs2a4ZdffkGVKlVK3G6fPn2wYMECAMCff/6JOnXqlLhN\nX6mQA/MOhwN//vkntm3bhm3btuHMmTMAgF69euGhhx5yWz83Nxfbtm3D5s2bkZiYiDNnzkBVVdSo\nUQMdOnTAgAEDEBYWJtUXVVWxevVqLFu2DKdPn0ZwcDAaN26M22+/vcj1lYiIiIiIyhtVVfHXX39h\n27Zt2Lp1KxISEqCqKtq2bVvsJc4FHA4Hdu3ahY0bNyIhIQFnzpxBTk4OYmNjcf3112PQoEEe/fjb\nsmULFi1ahBMnTsBms6FBgwYYPHgwWrduXZLdJCIiIqpwfvzxR4wbNw5OpxMNGzbEr7/+imrVqlnS\nduE/Wly+fNmSNn2lwg3M33PPPfj666+Rnp5ueK5GjRpu60+aNAlvvvkmMjIyhM9Pnz4d0dHReP/9\n9zF27Nhi20pMTMSoUaOwbt06w3Mvv/wyHn30Ubzzzjuw2+1u+0VERETlD2fMU0Xx8ssv44MPPsCl\nS5cMz+Xl5bmt//nnn+PJJ59EWlpakWUefPBBvP7663jssceKbSslJQXjx4/HwoULDc9NmjQJY8eO\nxaeffio9EYeIiIjKF8bonlmxYgVGjBiBvLw8XHXVVfj1119Rq1Yty9pPSEjQbsfExFjWri9UuIH5\nffv2ISsrCy1btkR8fDxat26NBx98ULr+kSNHtEH5Tp06oVevXmjUqBEURcG2bdvwxRdfIDk5Gf/6\n179w+fJl7RINvbS0NPTq1Qv79u1DQEAAJkyYgC5duiA9PR1ff/01Vq9ejffeew+ZmZn45JNPLNl3\nIiIiotLgdDqxf/9+bNu2DcePH4eqqoiLi8M999xjSfvz58/Hnj173JarWbNmkQmkqHQdPHgQaWlp\naNq0KeLj4xEfH4/nn39eetbTyZMntUH5Nm3aoG/fvmjWrBmCg4Oxe/duzJgxA0lJSXj88cdx/vx5\nvPHGG8J2cnJyMHDgQG3izOjRo9GnTx84HA788MMPWLRoEWbPno1Lly5h4cKFUMpxYjYiIiKiklq7\ndi0GDx6MnJwc1KpVC7/99hvq1q1r6Ta+/fZbAEBAQADatm1radveVuEG5mfMmIG6desiPDwcAJCV\nleXRwLyiKBgxYgQmTpyIq6++2uW54cOH46GHHkLnzp1x+vRpPPHEE7jtttuEaxu99tpr2LdvHwBg\n3rx5WqICABg/fjwmTJiAL7/8Ep9++ilGjBiBLl26mNldt2w2xa+yiPs667coG7tbggsYnA6n+2qC\nv3aqTtftO4XZ4UWvj+v2TO0HAKfTWE/flmjfRNtz5Dhcywja1u+fU1dHVAYAHLm6tgVlVEE/9W05\n8oxlHKqujOShNFvPXTsidpM/+kUfJ5m2ZOrZA4zvS5uuoui9K/qM2wNdP1T6dgDAFmT84OnfY4pD\n0LaunhPG94BNkAddX8pmcraCaH/Fn2nd9kT1TPTByvN7mTg/e4nZ198KZX02zrx58/Dpp5/i999/\nx5UrV1yea9++vWUD8z/88APmzZvnttx1113HgXk/9dprr+Gzzz5zWWrmlVde8aiN3r1749VXX0V8\nfLzL40OHDsUjjzyCbt264c8//8SUKVMwbNgw4ZI0H3/8sTYoP336dJdlLv/1r3/hpZdewuuvv47F\nixdj7ty5GD16tEd9lGWzKR6fe0RxnTf5+nvBW0TfNzLfn6IYWX9MZL/L9G3JxNH57bv/TaCPo8Xt\nSMT2gjK5Ttfti3ZXFOvmON3H0aJ6ModTX0Ym1vY1UTwu83GSitEFZYIE5xKZeoE218+BMI4XxOj6\ncqK4Vh//A4Aq8VtC35Ywtpf4/Mqcv8zG0eXl3OgP3H0PMkYvXcnJydqkiJo1ayI4ONhQZuvWrejX\nrx8yMzMRGxuLX3/9FQ0bNpTeRk5ODoKCgoot89JLL2HLli0AgNtvv92SNet9qcINzOsH0z01derU\nYi+LqFevHt5++22MGjUKWVlZWLBgAR555BGXMpcuXcJHH30EABg8eLDLoDyQP/g/ffp0/Pjjj0hJ\nScGkSZO8NjBPRERE5C2rV6/GmjVrYLPZcPXVVyM+Ph6LFi1CSkqKV7ZXq1Yt3HfffUU+L7NsIZWO\nJk2alKj+Y489VmyMXrVqVXz88ce46aaboKoq5s6daxiYdzgcmDJlCgAgPj5emHvq5ZdfxjfffIMj\nR45g0qRJXhuYJyIiIvIWh8PhsvwLkD9xueC5EydOuDwnGnh/7bXX8MEHHwAANm/ejA4dOrg8/+ef\nf6JPnz64cuUKQkND8cUXXyAkJMTQdmH16tVzuT937lxMnjwZt912Gzp06IAaNWqgevXqyM7Oxu7d\nu/H5559rEyquuuoqvPPOO7KHwG9UuIH5kpJZq6h79+7a7b/++svw/NKlS7U3/J133ilsIzw8HLff\nfjs+++wzrFmzBhcvXixz6yQRERFRyZT12TgjRozA8OHD0a5dO1SuXBkA0KhRI68NzNesWRMvvvii\nV9om/yYTJ3fq1AlBQUHIyckRxugbNmzAuXPnABQdo9vtdowbNw4TJ07EX3/9hX379uGaa64pWeeJ\niIioTCnrMfqZM2dQv3594XNnz541PLd+/Xp06tTJo20sXbpUi/kzMzPRv39/t3Vyc3MREPDPUHVw\ncDCOHDmCadOmFVuvc+fO+Oqrryxdt95XODDvBdnZ2cU+X/DXHJvNVuwbu2vXrvjss8+Ql5eHzZs3\no1+/fpb2k4iIiMibunbtWtpdINLk5eUVm0i2IEYHgJtuuqnIcoXf1+vXr+fAPBEREZUpAQEBHq3z\nHhISYngsOjpaa0O0jE2VKlU8Xkten7tn5MiRuOGGG7B8+XJs2LABiYmJOHv2LBRFQWxsLFq3bo1B\ngwYVG7f5Ow7Me8HKlSu126JAff/+/QDyL7eOiIgosp2mTZu61OHAPBERERGROb/99huc/78mdnEx\nut1uR+PGjYtsRx+jExEREZUlNWrUKHZJGRkvvfQSXnrppSKfv++++4pdYlJW3bp1ce+99+Lee+8t\ncVv+iAPzFsvKytLWpgwODsagQYMMZRITEwHA7SUWtWvXNtSRVdwl4qmpqdptxa74LDmJTMJDX1ME\niVz1RElF9ex2QfIaiexE+mQ1skfIaSgp6KPZhLAySaQESVv1SapEZRw5+sRWgmSsOaLHXNuSSeIK\nyCWWMpaRSzRlJrGUlbks5RJEuU8sJZsgVp80yi74XBjKiLYvSBqrf4/ZgwTJWAUHT19OlHxK/94R\nlREljRJ9pmXoz6cySauE7QguW7QqkZW4Xvk9P1uhNJN42XxwmWxpJs4i8hVVVfHaa68ByJ+NNWLE\nCEOZgni7evXqxX4PVKtWTVsSx1sxuhml/Vn2h+8SU98LguMmk0hXmDzei99Lon3Tx1D6RK+AIP4W\ntCOKv/WJXfUxM2CMbUVlzNaTicnNJ4j1bUJYUUxsLOO+nkwZcaJX4/7qy4nq5Thd309BTmOZQIkY\nXZU8N9ihP+8KPk8mY3QZ+lhbNv6z6tzr63Oor+Lo8ooxOlmFA/MWe+KJJ3DkyBEAwOOPP+4yuF7g\n8uXLAPLXkS9O4ecL6siKjo72qDwRERFRWZeZmYmFCxfi0KFDyMnJQdWqVdG2bVu0adPG9B/cqHyY\nMmUKNm3aBAAYM2YMWrVqZSgjG6MDQFhYGHJychijExEREZFpHJi30H//+198/PHHAIB27drh1Vdf\nFZbLzc0FAJeEBiKBgYHa7ZycHIt6SURERGWFrxNLuZuxGxUV5dW+lNT+/fuFVyvWr18fr7/+OkaP\nHl0KvaLStmzZMi0pcP369fGf//xHWE42Rgf+idMZoxMREVU8ZT35K/kPDsxbZMmSJdraSfXq1cPC\nhQtdBtYLCwsLw6VLl9wmic3MzNRuy8zcKSw5ObnI51JTU9GgQQOP2iMiIqLyz118oPr48n9PBAUF\noX379mjYsCHq1KmDjIwM/P7771i/fj2OHz+OMWPGYNeuXZg6dWppd5V8aMuWLRg+fDicTidiYmKw\ndOnSInM8hYWFAYDbGB34J05njE5EREREZnFg3gKrV6/G7bffjry8PNSoUQMrV64ULmFTIDIyEmfO\nnCl2jUnAddZalSpVPOqTv89oIyIiIvfsig9m40isfevvHnroIXz22WfCeGnnzp0YNmwYjh07hnff\nfRcdOnTA0KFDS6GX5Gt79uxB3759kZ6ejsqVK2P58uW4+uqriywfGRkJoPh14IH8mfUZGRkAGKMT\nERFVRIzRySqln6GnjNu8eTNuu+02ZGVloWrVqli1ahUaNWpUbJ2C50+dOlVsucLPN27cuOSdJSIi\nIirGsWPHkJycXOQ/f3XjjTcWOUDapk0b/PzzzwgJCQEATJo0yZddo1Jy8OBB9OzZEykpKQgLC8PS\npUtx/fXXF1unIEZPSUkpdu3406dPw/n/iTEZoxMRERGRWZwxXwK7du1Cnz59cOXKFURGRuKXX37B\nNddc47betddeiyVLluDSpUs4evQoGjZsKCz3+++/a7dbtmxpWb894c3M4IqtbPxdSN9P1Smbvdx9\nOZvub2NOQR3VaW7ZAJsgi7zD4Xk7qkNu+05dOVE9/bFz5Bj315Fj7KQjz7VcjuCYyDwmU0a0uw7B\n0g2itoz13Ldjluiv54KX3CBI91d9cTvGfurr6e8Dxv0NEnzEg/JkPz+6PgUZH1Mdrn3QvwcB47p8\novelInPgBESfMTMUwbG0Cc69Mv2UOWeXlXOvnujca9V3lOow9770BV+vXxkZGVkuZ/Q2atQIQ4cO\nxZw5c7B7926cO3cO1atXL+1ukZccP34cN998M5KSkhAcHIyFCxfipptuclvv2muv1W7v3LkTXbp0\nEZbzRYyu2GxejcOtYNX3oKUkkjyL4gU9m0QcLyohFdtLbF+mj6Jyonr67zhR/J0r+I41E0cLmpaM\nv+VibX3zonpm42/JQ+6WzMdCNo7XlxOdEfQxeY7T2JBM3C46TqJ6RqIX3fWuKI53OoxtKzbXPtgF\nB0X/HpeNkfRxtEysbZNu2/25ujyfL0uT4ii970muMU9W8e9oz4/t27cPt9xyCy5duoTKlStjxYoV\naN26tVTdvn37areXLVtWZLmffvoJAFCtWjW3M3yIiIiIqGitWrXSbru7apHKrtOnT6N79+5ITExE\nYGAgFixYgJ49e0rV9TRGDwwMlG6biIiIiEiPA/MmHDlyBD169MCFCxcQHh6OZcuWoX379tL1O3bs\niCZNmgAApk+fjqysLEOZHTt24NdffwUAjBkzBnaJv2YSERFR+WJXFJ/8q2iUCrjPFUFSUhJ69OiB\nEydOICAgAN9++y1uvfVW6fpXXXUVunbtCgD48ssvceHCBUOZkydPYt68eQCAgQMHerzGPBEREZV9\njNHJKhyY91BCQgJuvvlmnD17FiEhIVi8eDE6d+7sURuKomDKlCkAgKNHj2LMmDEu61ju378ft99+\nO1RVRWRkJJ577jlL94GIiIiootm5c6d2Oy4urhR7Qt6QkpKCnj174uDBg7DZbPjqq68wePBgj9t5\n8803YbPZcPHiRQwdOhTnz5/XnktISMCgQYOQmZmJoKAgvP7661buAhERERFVMBVujflffvkF06dP\n1+47C62n98svv6Bfv37a/dDQUHz33Xcu9e+9917t8ufY2FhMmzYN06ZNK3J7rVq1EiYZGzRoEJ55\n5hm89dZbWLBgAVauXIk2bdogPT0dO3bsgNPpRFBQEL7//ntUq1bN9P4SERFR2aUoCmxeni1TEWaP\nHzp0CAsWLAAAtG7dmuvL+6GdO3fipZdecnksLS1Ne65wjA4A8+bNQ3h4uHb/2WefxZ49ewAAVatW\nxddff42vv/66yO3FxcXhk08+MTzeoUMHvP/++3j44Yexdu1a1K1bF+3atYPD4cD27duRm5sLm82G\nmTNnomnTpqb3l4iIiMouxuhklQo3MH/q1Kki14xMSEhAQkKCdr9wsF8gPT3dpS13a5SKlqkpMGXK\nFLRs2RKvvvoqDh8+jDVr1gDI//B169YN77//vksSKl+wKsmUN5MLihK1eJNTlzDJ2n1zbVufMCq/\nhDGhjr6UU1BPFWR6Nby+ThPZYCFOSKtPLCVKFKN/TCbRKyCXfCpTkLxRn4BKVE+f6Eg2sayZ5FPW\nEiQ6VfT3jV/k+n0RJXWSSxBl7JHxGMh9VmQSwooSn+oTRCmC94BqOChSXRJsX25f9OVEiZ70yV5l\nE716M7GrL8+r+nOqLJl9k0/OrWtbsP/+nBC2ovn222/x559/AgCefvppREREuDy/bds2AMD1118v\n/AGzbds2DB8+HNnZ2QBgGPwl/5CUlFRkjH7+/HnDc7m5uS73C8foxbVVoLhB9YceegiNGjXCc889\nh927d2P9+vXac/Hx8Zg6darHV8yWFm8mHDSbPL206RNKCpOxCpYR1cexogSxhkcEobbwuOnKiV43\nQWhvINoXQ4JYyZhV/5g4RpYpYy75a65EP2Vie9l4XDZJrDsyS0/YFVEcL4rJ9WUEjTklykgRVdQl\nWhX0UfjxUfUxurGQ2chT5pwmc24SldEnexXFh1Ztv6zw5i8Ef08sS+QrFW5gvlevXliyZIlU2YAA\n4+F58803cfHiRentuZvtPnr0aIwePRqHDx9GQkICgoOD0ahRI87kIiIiItiVkvzIlt+Gt5w+fRqf\nfvqpy2PJycnacy+++KLLc08++SQiIyNdHvv++++12e733nuvYWD+l19+wcSJE1GjRg20atUKNWrU\nQGxsLNLT0/H7779j69atWtkXX3wRAwcOtGjvyEpt27aVjtEBoFKlSi73n3zySYwYMcJ0fb0+ffqg\nT58+OHHiBE6ePAlFUdCgQQPUqVNHehtERERUPpX1GJ38R4UbmI+LiyvRuqIdO3a0sDf/aNy4MRo3\nbuyVtomIiIhKw+nTpzF58mThc4mJiYbnJkyYYBiYd6dDhw648cYbsXXrVqxYsUJYpnXr1nj11VfR\nv39/j9om36lWrZphuRpPtGrVCq1atbKuQ/+vXr16qFevnuXtEhERERFVuIF5IiIiIvKNuLg4jxJk\nRkVFGR4bOXKkNuBapUoVw/M9evRAjx49cOnSJfz+++9ITEzEuXPnEBgYiBo1aqBdu3Zo1KiR6X0g\nIiIiIiLyBg7MExEREfkpm00xrHnqjW14S+3atQ3L1XhqyJAhUuWqVKmCm2++uUTbIiIiIiJyp6zH\n6OQ/fJtFk4iIiIiIiIiIiIioguOMeXKhOlzTuosykfuSrZS3L9sHp+64AYBic62nOgVlDG0by9gE\nfz9z6ssJMpoLs8FLZD7X769qF9TJdduMpRyqWuz9ktTLcerLGNsxviqits2VMUucCEb/oGCDimsZ\nUZ/0xwQAgnRvQ/G+6Ns2FpKp502iz4XZ84zwM6YvI5jloN+eqB2Zc6/+HCPiD+dQPVGfROdQX9J/\n9/mT/MRS3v2MMLEUUdljs/CDK/N9JteOdd85Vu2fUyr4kvsOMEbtxv216dpSRd95onhfV87hdEj1\nSc+q19LXxLG26DH3sb2+nnw8ag3R9owvi+h1kumnsZ6+bXtxnSuHRHGlTLwvmomsP4eJzkNS8b/k\nudC35zn3RPGw2XOKKjXu4L5tq/bNGxijk1X87xc7EREREREREREREVE5xhnzRERERH7KpiiweXk2\njrfbJyIiIiIqTxijk1U4Y56IiIiIiIiIiIiIyIc4Y56IiIjIT+WvX+n9bRARERERkRzG6GQVDsxT\nscQJQNxfaCFKdGpoRyJxoSghoD8mMyxtosQpDkHOKH051SGq5z7BiiihpTFZjiCBkS5prLDfecbt\n6ZOqiL+gRImW3NfTPyZK2CR6x5lJyeUPX6wynx5REhvjsXS/MzLtiMgmQtKXE52bRO9VqbZ19cz2\niYzMJnqV+V6RbsuPk70SEQH53yfe+E4xm8jPbGJXq/ZB9vtc1SWwl0ouKH0Ruet3h6iWvi3FKYor\njTVVXdysCGJ00Wugj7dVpyjppfv43664T1gqjutU3X1DEcn4W66ePvmp3G8Cs4lWzRHvr8xvEpnY\n2viY/l1h9jUw329Bn3T1RJ9DmcdkYnuZRK9FlXO/fbnPobt2ZInOc/pzmpXb0ydWlT3Py8TRomMn\nkxBWz92+8bcXlQccmCciIiLyU4pNMfyhyBvbICIiIiIiOYzRySqcekxERERERERERERE5EOcMU9E\nRETkp2yKYrgk3BvbICIiIiIiOYzRySqcMU9ERERERERERERE5EOcMU9ERETkp+yK9xNHM28WERER\nEZE8xuhkFQ7MV3CqQzWRHdt9Fm4RfZZv1WmuHXO1/JNMRnOzRFnVVYfDbRnFqc/OLpfpXp8xXhXU\nswfaxZ0tXEbwfgzKkzlOxj7ZFVV3X7A9pfj7AOBQjQ8GqaqujKie64NWvtqiy53sukvdxPvrvkyQ\nIMmM/jGrygCAPcB1b2xBxveJ6L2jf2/aJN6rovez+DH3F5TJlDFLdG4wsz2nF88xZpk99wvbMrl/\nnn7vef49SUTkH0Tfce7rmPt+E30PS23PwuR2Mm3pY1ZRv50WnfdFiQEdgraNMY37WBswxtuKw1hP\nFFcZ5IgedP8dKxNH62PP/Mf0Mbpx3+yC/dXH1jJxu76OqIyIqJ6eaN/E5dzXE+1LoCFuty7+DrLJ\nlHHfdqBN8BssyH1srwjqWRXbi+g/i1bG8TLnPrPnObP1ROcLPX2/Zc97hnEdyXhc/1oxvibKx6Vs\niIiIiIiIiIiIiIh8iDPmiYiIiPyUDT5ILAVeJ0tEREREJIsxOlmFM+aJiIiIiIiIiIiIiHyIM+aJ\niIiI/JTdpsBu4frLRW2DiIiIiIjkMEYnq3BgvoJzOlWPkwPaTF5oYUw8ajKRiUR/vZmUUZaZpISi\nBCi+Tt6oT4yjio5lkLm29a+LOKGPIElWjusxsOc4DGVECWL1SZtyBElw9I/JJHEVlZOt501yyV+L\nr1NUPZnkT4btB4iSQQkSu+oSRIkSvYqSRunfK+J6+vecICmajwMe/WdadE4VnR/15xSrEsRayZsJ\nra1MEOXpedUpkUCLiKi8MPv9IkocKJMUUSZJoTcTIJol+q7WHyWHMWQtop4umaJdkAwVEklcBfSv\ngUOY9F7wmuvi7UDB6xukS+guE2sDxuSr4jKGhwRxu0yMLte2sUzpJ3/VlxPH33Bbxmw9fWJXfcwO\niM8NMrG96HOg/50gU08U25sdZ/Am0bnIzHnNynOaVUmuiahkODBPRERE5Kdsig/Wr/Ry+0RERERE\n5QljdLJK6U8rJiIiIiIiIiIiIiKqQDhjnoiIiMhP2RTx5e1Wb4OIiIiIiOQwRiercMY8ERERERER\nEREREZEPccZ8BefMdcKh/JO0RyZBk8MpyGIkwZDcxFwzUmyChEm+ZlXSVpkEL6LELeLEXbpkOaK2\ndI+K0kwJk1bpEu+Ik1e69tMZaOxBgNN4WnLokk+Jk+QKjoEuIZWojFOQSFaqbf2+mEz0amViKT3R\nmnTGhElybeuTr4rqKTb3yX1lEj2JEiHJJHYSJZY17K+gbVHSKn3fZZKxAsbPj8xfv50QnCtMnh9L\n+9zn62TV3kzqV/hz78z17X4VxvUriagk9PGK2aSIViaElaH/HjZ7vje7fZlk5jJJyYUxhuB7X/+I\nKKYRfcfqX09RDKU/dvqYDgACQoxtO3J0SeedxjL6hLChgmOij+MBuTjaqsSuMrG2qJ5ZMh8xs8lf\nZcrIxP+AIP4W/r7TbV8yiav+fS/+3WC2T+5/c8rG+2bIxP+yrJol680krjLnQvm2Sn+MxkqM0ckq\nnDFPRERERERERERERORDnDFPRERE5KfsNgV2Ly8w6e32iYiIiIjKk/IUox87dgzbtm3DoUOH4HQ6\nERERgccff9zy7eTk5ODXX3/F4cOHkZ2djbi4OPTs2RMxMTE+bcPfcGCeiIiIiIiIiIiIqAJYtWoV\n3nvvPWzbtg0XLlxwea527dqWD8zPnj0bjz32GC5evOjyeGBgIB5++GFMnjwZwcHBXm/DH3FgnoiI\niMhP2ZT8f97eBhERERERySnrMfqWLVvw008/AQDq1auH+Ph4bNmyBadOnbJ8W++//z4ee+wxAECt\nWrUwYMAAhIaGYs2aNdi5cyfeffddHDlyBD/88ANsNvGK61a04a84ME9ERERERERERERUAfTs2ROt\nW7dGfHw8qlWrBgDo2rWr5QPz+/btw5NPPgkA6N69OxYvXozw8HDt+RdeeAFvvPEGFi1ahE8++QQP\nPPCAV9rwZxyYr+BUh9Ml07bDUYqdgXXZ0h251mUPL22+zoRu02W2F2WZt9sFFQN1ZQLdv5ZOp1xm\ndpl+OyWOk9lM8OUtg3xhit3cn+Fl6tkkP89SbUlMFzB7/tC/50VE7wFRv/WfV5lzqlXnPYDnPm/x\np74QUcXgdKhwFhN/yHx3iVgb03jv3OjL3yRWHpPiXrPi6OMc0ZG1CwJwfd/tQcYyVsXIVsXjAKDq\nfgPIHjeZ72Ozr6fZ107P7GdTJh6WiRlF21ck4miZuF32d4NVvxOs+o0gS/8ekI3QVd0JS/Y4lfbY\ni4zS/h3s7nNp1ee2Imrfvr1PtvPqq6/C4XAgNDQUc+bMcRlQB4BJkyZh5cqV2L59O15//XXcfffd\nCAwMtLwNf1a25vcTERERVSB2RfHJPyIiIiIiksMY3b309HQsWbIEADBkyBDUrFnTUEZRFNx///0A\ngHPnzmH16tWWt+HvODBPRERERERERERERJbYsGEDsrKyAAA9evQoslzh51auXGl5G/6OS9kQERER\n+SmbosDm5dky3m6fiIiIiKg8YYzu3p9//qndbtmyZZHl6tSpg8jISKSmpmLfvn2Wt+HvODBPRERE\nRERERERE5IdSU1OLfT4qKso3HfHAiRMntNtxcXHFlo2Li0NqaqpLHava8HccmK/gHDlOOLyYuMlz\n3utLaSfvszLBowyrEg/ZpZP8mEtGZGhHkMDHquRAZl8DxWY2qahvX3PZhFuFqU5znwsrk2/p+61P\nCFZ0PZlEZWb3z1wSNHMJiLz3Gnibr89rpcWRU3rH2mYDvH2YTZ7iiKgU+UXCO3/ogxv+8F0pQ/99\nKsjzKqbLbScVa5v+jWBNrC9s28IEnmaZidvNxN7eJhtH65V2XC3bB7ntGftppu/eTs5aUeLo8srX\nMXqDBg2KLauq/vedfPnyZe125cqViy1b8HzhOla14e94JiAiIiIiIiIiIiIiS2RmZmq3g4KCii0b\nHBxsqGNVG/6OM+aJiIiI/BTXryQiIiIi8i++jtGPHTuGyMhIr27PaqGhodrtnJwchISEFFk2Ozvb\nUMeqNvwdB+aJiIiIiIiIiIiI/FBkZKRfriNfnMJLz1y+fLnYQfWC5Wf0y9VY0Ya/48A8ERERkZ+y\nKwrsXp6N4+32iYiIiIjKE8bo7tWrV0+7nZCQgGrVqhVZNiEhwVDHqjb8HdeYJyIiIiIiIiIiIiJL\ntGjRQru9d+/eIsudPn0aqampAIBrrrnG8jb8HWfMV3Cq01lshnKnyazuwm1ZlGXdaTIbvIhVfZKh\n2M39tdMmSPUt05bqMJbRZ363SbRjD7Ib27EZ6+nLibLM2wNdTzm2IOMpSLEZ69mCAottBwBsgsf0\nfbBLbE/Ub1HbNrv7/XXXn5Io7nNbXBmnw+F6PzdPqp7qdH3MkeO+nqhth+AxZ05usdvKL+O+LVG/\nHTmu+6sKzmn6MiJOwblCeHwlzpn6847Zc5ovz1+A+XOYnuicZpZlfRKc0woTvSd9xQYfrF+Jsj0b\nh6g8cheje5OV8b+er7+7RPTfu978XnL3/VIUUYxuE8Tk+nJWxeiicuJY27VtmXZEbYnKyPTTbPwt\n+r3hTfo4QvazrS8niqP1ZYTxqUQ9cdvmfjeYidEBY5wuir+dunqiMjJE5zmfn59yfXeOtypmFjF7\nnrMCY3T/1qlTJ4SEhCArKwurVq3CuHHjhOVWrVql3e7Zs6flbfg7zpgnIiIiIiIiIiIiIkuEh4ej\nf//+AIAFCxbgzJkzhjKqquLjjz8GAFSvXh3dunWzvA1/x4F5IiIiIj9lt/nmHxERERERyWGMDqxY\nsQKvvPIKXnnlFZw+fVpY5uWXX4bdbkdmZibGjBmD9PR0l+dffPFFbN++HQAwceJEBAYGeqUNf8al\nbIiIiIiIiIiIiIgqgLS0NEybNs3lsRMnTmjPvfLKKy7PjR8/HldddZXLYytWrMAHH3wAAOjduzfq\n1Klj2M4111yDqVOn4rHHHsNvv/2Gpk2bYsCAAQgNDcVvv/2GXbt2AQAGDBiA++67T9hXK9rwZxyY\nJyIiIiIiIiIiIqoA0tLS8Oqrrwqfu3z5suG5Hj16GAbmZT366KOIiYnBY489hsTERG3ZGQAIDAzE\nww8/jMmTJ8NWTP4PK9rwVxyYr+AcuU44UEzyVy8mJZQpI7t9UUJHY1uln2xKTyb5qiiJkz5JlS3I\nePJRRQmTDA8IErvq6om2HxBqvDRIn4zJHhJkrBcS7L5MqOCxsBBdmWBDGVFbtiDXeorgkiZFVwYB\nxnYMZWBMdoUAQds2XRkrvyQEiW5Upy6JUl6usYwuiZOak2VsOy/HWE9XTs01tu3UlXFkGdvJy8w2\nPpaRpStjrCdsKyvbbRnF7pp8Ki/T2G9RUjDDcRImthIl19UlwM1xX0bm/JVfr/ycw4ztyCRvk9iW\nycRWovNlYaLX2ldsig8SS3m5fSLynNOpWpKE1apkhjIxudltWfmbwCpmv5cMj4kStgpje13SWEE9\ne6AgtteVCxDGw/oY3RhHi+rpY2tRGX1sr9+WqJ38croYPVgQawtia32cLiqjBOq2JxOji8jE7ZKJ\nJ6Vi9FxB/K0vJ4rRdWXUbGNsr4/RAWPc7MwxJnbVx9p5glhbHKPn6MoY43/x9nT1BAliDQRlHIJq\n+vOpMPms7lwke07z5flJNlm1mZjYW3G01dsrzJvJyt0p6zF6REQEXn75ZenyokH53r17IzIyEgCE\ns+ULGzt2LIYPH45Vq1bh8OHDyM7ORlxcHG655RbExMRI9cGKNvwRB+aJiIiIiIiIiIiIKoCIiAjD\ncjWe6t27N3r37i1dPigoCH379i3RNq1ow99wYJ6IiIjITylK/j9vb4OIiIiIiOQwRierlL3Fd4iI\niIiIiIiIiIiIyjDOmCciIiLyUwoAG7w7XYaTcYiIiIiI5DFGJ6twxjwRERERERERERERkQ9xxnwF\n53Q44bT9k0VcJvO4voxsFnLVqa9n3Jaqa0s+E7oug7pTrk+iPviSTZeJXLEZ/1amLwMAtiC7y327\nw1jPrisjoggyqOsfEbVjDzSeOgLCQ13uB1UOM5QJDA/R3Q81lokw1rOHV3a5r4SEG8rYwiMMjykh\nrm3ZQo319G2pASGGMmpAoOEx2INcy9gEp1PdonDCMiYpzjzjY6rqtgwcOa5l8nKN7eRlGR5Ts9Jd\n7jsz0wVlMlzLpKcZygRlGes50i+73M9NyzCUyU3PFDzm2s+cy8Z60NXTn2MAwJFrfEx/bhCVceQ4\n3D4mbFtXRnguFJzD/O18JSJ7DjPUE5TRn59E7Sg2923bBOc5/fYcDuNrWbiM7PecN3D9SqKKSXWo\nUG1Fn/fNnpfMxPol6YNM/C/ug0TbFn0vir6DxOXcfy/ZA93H3xDF1rr7wrYF9fSxtT0k2G0Z/X0A\nCKpsjJED9G2HGmN0m0SMrgjib5uunKiMEmT8naDaXWNyNVAQt+vjbbsxjlcVwfxEu0VxukMUo+ve\nzw5j/G0Txfb6uD0321BGzdHFuoIY3SmIv/XlnBmX3ZZxZBpj7Zw0Y9t5Ga4xuj5mL+ox429TwW8S\n/TnFUAJwOo3nBn2M7swRxdquj4nieF+emwC585PoN72elXG0nmqX21/DvhjDb4+3b+Wx9hRjdLJK\nhR6Yz87Oxh9//IEzZ84AAOrVq4dWrVp53M6BAwdw+vRpBAcHo1GjRqhVq1aptEFEREREVNbl5eVh\nz549SEhIgKqqqF69Ojp27OhxO0ePHsWJEydgs9lQv3591KtXr1TaICIiIiISqXAD80uXLsWKFSuw\ndetW7NmzBzk5//wV+s4778R///tf6ba++uorvPrqqzh27Jj2mKIo6Ny5Mz744AOpQX4r2iAiIqLy\nyabk//P2NohK29q1a7Fo0SJs3boVu3btQmbmP7NAe/XqhRUrVki3tXTpUjz77LPYt2+fy+Nt2rTB\nu+++i65du/qkDSIiIiqfGKOTVXw6MH/8+HGcOHEC58+fx8WLF1GpUiVUq1YNNWrUQIsWLRAQ4P3u\nTJkyBRs3bgQABAUFoW3bttixY4fH7Tz55JN49913AQCRkZFo27Yt0tPTsX37dqxbtw7x8fFYtmwZ\nevbs6dU2iIiIiIhK4vTp0zh69CjOnz+PCxcuIDQ0FNWqVUP16tXRokULBAcbl8ew2ieffIJ58+YB\nAAICAnDdddfhwIEDLpNoZLz//vt47LHHAABhYWGIj4+Hw+HA1q1bsXPnTnTv3h2zZs3C2LFjvdoG\nEREREZE7Xh0Jz8nJwQ8//IBly5ZhzZo1OH36dJFlw8PDceONN+Lmm2/G2LFjUbNmTa/0qX///hgx\nYgTi4+PRqlUrOJ1OhIYa168rzoIFC7QB9WHDhmHmzJkID89fF+/gwYPo168fjhw5gmHDhuHQoUOI\njY31ShtERERUvnH9SvIGh8OBpUuXYvHixVizZo3LlZt6ISEh6NChA7p3746xY8d6bSmXrl27Ij4+\nHvHx8Wjbti1CQ0NRtWpVXLx4UbqNTZs24YknngAAdOvWDd999x1iYmIAAImJiRgwYAB27NiBCRMm\noF27dmjevLlX2iAiIqLyjTE6WUVRVdXybAmnT5/Gxx9/jC+++AJJSUke1w8ICMDAgQPx4IMPokuX\nLlZ3z0VWVpY2MC+zlI3T6UTTpk1x5MgRNG7cGHv27EFIiGvSmV27dqFt27ZQVRWPPPII3n//fcvb\nKImUlBRER0cDAJZ37ICIwH8S4sgkdjWTxFXctvuEh+K23W9Ptp6eU+Lj4JD8yNglzqI2XRlRchdh\n8tUg1yQoASHGv7GJE0S5Jj8KFNQLruI6Ky4wPMhQRpTYNSjCNWlTcGQlY9uRrgmiAiKMCVttlaME\nj0W63Lfr7gOAElbF8JgzWJfYNciYWEoNct0XZ6DxD3V5hpS4QJ7ucyDIDWQoI8hDBJlTsCJ4L4ku\nawvQPRgoyJWjLxMgSJlkyzUmWlVyMnT3jYmebNmuj6kZlwxlHJdTDY85dY85L6cYyuSlGRPJZqde\n1t2/YiijT0glShCbm26cjZl9yTW5Vm6WMSFXbroxcZc+sVSeoJ5Dl2xKlERWdL6y6vxk5txUFP05\nS5hYSpe0SXSeEyekkkj+qk+gLUpoLZHsyl2C2LTcXPTZvAUAkJycjKgo43nKSoW/p7cePIEqkd7d\n3qXUFLRvWg+Ab/aPSs/58+fx6aefYsaMGcVOmCmKzWZD79698cADD6Bv375e6KGrgoF52aVsunTp\ngnXr1qFq1ar466+/tAH1AqdOnULz5s2RkZGBIUOG4Pvvv/dKG2YV/uyv6NSx2Bhdlkxsb6gjCFhk\n433327cu4bmvk7/qE7uKvl8CQl1ja1EyWH0ZAAjSx+jhxoSlgeHGK1f08bc4Rnd9TB+PA0BAJWPc\nro+/9fcBwFYpstj7AKAKkrg6gyq5LaMKYnKH3fUY5AjegzkOz2N0wBhnyby7RO8cUQwlE6MHCd5P\nQbr4xO4wJn9VdHG7kmOM4205xhhZ0cXtznRjrO28kup6XyKOB4BcXdwuShCbkyZIJKuL00X1ctN1\nMbogHs8RPJaX6RqTO3KN8bc+JtfH7EXV0/N18lezcbTMtmRia5kksvn13P8mkKGP0Xtv2AyAMTqV\nXZbOmL9y5QreeustvPvuu9q6kDabDc2aNUOHDh3Qvn171KpVC9HR0YiKikJ6ejqSk5Nx4cIF/PHH\nH9i8eTN27NiBzMxMfP/99/j+++/Rp08fvPvuu34zG2XTpk04cuQIAODhhx82DKgDQOvWrdGjRw+s\nXLkSX3/9Nd59913Y7XZL2yAiIqLyzwYFNuFPf2u3QeVbdnY2PvjgA0yePBlphQZMGjdujA4dOqBD\nhw6oU6cOYmJiEB0djczMTFy8eBEXL17E3r17sWXLFmzfvh2XL1/GTz/9hJ9++gmdOnXCe++9h3bt\n2pXinv3jxIkTWLduHYD8yTb6AXUAuOqqqzB8+HDMnDkTixcvRmpqKiIjIy1tg4iIiMo/xuhkFcsG\n5v/44w/06dMHZ8+eBZCfGGns2LEYOXIkqlev7rb+qFGjAOQvf7Ns2TLMmTMHy5Ytw/Lly7Fy5UpM\nmTJFu6y0NC1fvly7XdxMob59+2LlypW4cOECtm3bho4dO1raBhERERGROydOnED37t1x/PhxAMDV\nV1+NMWPGYMyYMYiLi3Nbf8SIEQDyl79ZuXIlZs+ejYULF2LDhg2Ij4/HU089hbfeesur+yDDk/h6\n5syZyM3NxcqVKzFs2DBL2yAiIiIikiW4iMqcI0eO4OzZs+jXrx927NiBHTt24NFHH5UalC8sKCgI\ngwYNwoIFC5CYmIjnnnsOISEh2Lx5s1VdLZE9e/YAAKpUqYIGDRoUWa5t27ba7b1791reBhERERGR\nO6dPn8bx48fRtWtXrF27Fvv27cNzzz0nNShfmN1uR+/evfH111/j7NmzmDx5MqKiorBx40Yv9dwz\nBfE1kH/laVFkYvSStEFEREREJMuyGfNNmzbFtm3bcP3111vVJGJiYvDGG2/g8ccfx6ZNmyxrtyQK\nlqCpW7duseWuuuoqQx0r2yAiIqLyj4mlqKRq166N1atXo2vXrpa1WblyZTz//PN48MEH8csvv1jW\nbkkUxMrR0dGoXNm4hnaBOnXqwGazwel0Fhmjl6QNIiIiKv8Yo5NVLBuYb9mypVVNGVStWhW33Xab\n19r3xKVL+ckM3a0lWfj5gjpWtuFOSooxeWKB1NRUj9oiIiIiorKpfv36qF+/vlfajoiIwNChQ73S\ntqdk4+vAwECEhYXhypUrpmP04tpwhzE6ERERERWwNPlrRZCRkZ8pPDg4uNhyoaH/ZJFPT3fNJm5F\nG+4UZIp2R3W6Zg136jLbOwRp7FVdGVHWcafgMdWpa1uQ5VzftqgdR54gO7qq6u4bihjKiMqJyrir\nUxSZJON23Z9AgxzGSkGC/bXnuK5CJTpOQaLtBbomEHYGud8ZfUZ3ALAFBRoeCwx3TWIcFBFuKBMQ\nEeHan6hYYx+rGBOt2SKrudx3hlYxlHGEGGe2OUNcy2U5jcc3M8/1GGRmGI93Zq7D8FiW7nXJEJTJ\n1r2fcx2i967hIQPReynQbnxdgnWPhQUaE0aHBLiWCQ00Nh4aEGp8LDTMtZ1wweuU5To4YRO8JgGh\ngtcpyPW94wgwvr9E9OcUZ26eoUxeVo7LfdH7WcTpdH1hnILzlSPH+JrnpOe6bj/T2Cf9OSzHaXwT\niB6z6vxk5txUVD277pwlLKNryx4gOKcIKiq697M9yFhPcbg+ZrMLvnsk2haxFVrtTzW+/D5jU/L/\neXsbRGWdbHwN5MfYV65cMR2jF9eGO9IxukOFalNd7rujj+MBQNV/n0m0o4/Hi9q+vi399zJgjPdF\nbQt/N+gec0p8BwJy35Wi7zg9m6CMM8j1e98WZIyzZNgE32cyr4s9yPjTPSDENeLXx+MAEBzpGnvp\n43FALia3CWJ0py7WywsxxuiqIB7Msbn2O13wmzMzS/BYnmtclymodyXHNfYSxej6OB4AcvWfFYn3\nkuh9Eij4UtXH36IYXfRYuO49FiqIoUIDXY9veGXjaxDkzDE8pmRddrlvCzH+kTEg3PW94gwx/r4T\nxu26eFsUfwvPBbpY3pGVbdxeVq7hMUM7ot9cuveBKEbPzXJ9zCmI9UVjGDLvFW+emxRBrKuPrUWx\nr76efqwgvx33sbVMXA0Yv48UwdiHTbItrU3ZwRkvYIxOVrFsjfmKIigoP4jIyzOeyAvLzf3nC0Mf\n3FvRBhERERER5ZONr4F/YmyzMXpxbRARERERyeKMeQ9VrlwZ58+fdzs7pvDzlSpVsrwNd5KTk4t8\nLjU1tdiks0REROQflP//5+1tEJV1BWvCy8xgL5gZL4rRS9qGO4zRiYiIyj7G6GQVrw/M//jjjxg5\ncqRHdRRFQWhoKCIjI9G8eXN06dIFY8eORc2aNb3US3m1atXCsWPHkJiYWGy506dPa7dr165teRvu\nREVFeVSeiIiIiCqOTZs2oXv37h7VURQFISEhqFKlCpo2bYobb7wR//rXv1CvXj3vdNIDtWrVAgCc\nO3cOeXl5CAgQ/8xJSkpCTk7+sg6iGL2kbbjDGJ2IiIiICnh9KRuHw4Hs7GyP/mVlZSElJQXHjx/H\nTz/9hGeeeQYNGjTA+++/7+3uunXNNdcAAP7++2+kpaUVWe7gwYPa7auvvtryNoiIiKj8symKT/5R\nxeN0Ok3F6KmpqTh58iR++eUXvPzyy2jcuDFeeuklqJJrgHtLQXztcDhw5MiRIsvJxOglaYOIiIjK\nP8boZBWvz5i/9tpr8c4778DpdOK///0vDh8+jMaNG6NLly6Ii4tDYGAgLly4gB07dmD9+vUIDg7G\nQw89hOjoaCQnJ2Pnzp1YvXo1srKy8NhjjyEwMBAPPPCAt7tdpJtuugmfffYZVFXFunXr0K9fP2G5\nNWvWAAACAgJwww03WN6GVVSHE07lnwQm+mSvMsmf9IlUAHECo/9j777Do6jWP4B/Zze7ySYhJNTQ\nNKCiKCLViooiKCBNRVFQAcWrYr9WsFy81utVsaCCqIgg0pWugGJDEAQpohQpAtIhlPTszO+P/LI3\ne85J9mSY3ewm38/z5Hmys+ecOTvlzDuzs/OKyVN0ErvqJkAUy+kmfxVzt0Q6+atXyOahquNTJEDx\nCp9XTtWpTqboFhIIxfnlIUBcL6oELG6PXM8tJp9KlpMDuaoF3yWmTPSaVlea5hcSjZqJ8t1muS75\nGa/HcoO3ueOKbTVTSPJzOEdOKKSadkzYno8qEhHlCGXyFYmmVNNEXkWiJ9U0n7B+UxLkZEzVhDJp\nPrmMalpqQvA6T/bI868WH7xeEjyJUhnLLacldhuhvyO2CuXl6xGmFWTlyG0L26pqe9ZJOqca5wpz\nFclmhURS4jYAyONVjmZSYNV4qFNPZDf5qyJXnZzYVdG2NM4pPodYBgDccUJSQcVyEhPvWYoEz26o\nkvMJycgVJULNmyjWNW7cGK+88goAYMKECfj1119x0kkn4bLLLkPjxo0RHx+PQ4cO4ddff8U333wD\nALjrrrvQoEEDZGZmYu3atViwYAHy8/Px73//G5Zl4d///neFfZ5LLrkk8P/ixYtxxhlnKMsVx9cA\ncOmllzrehlPMAhN+q/TRSUyiBziX2FU3thfrqdoWEyWqkiTaje1VdGJ5kW7Cc6+Q3Nar0SlVUsa4\nhNCn4Kp4RZVg0SXEOZ4k+awgTnjckir+1onJ/Yr42/IFJxrN98jx/zFFskwxQevRPHmbO5AtJyw9\nLMTbRxSxmBiTH8lWxPGKevnC9uvXiLvcivjFq1hP1cQ4WrENpCXKMXJ1oVyaIravJdRLiZfjnmRF\n4uBqicHr3OuREwdDiNtdLpuXj1RxfK68fguycoNe6yQV1RmbAMAvxORioldAjuPzFWOh+vqE+Nq5\nL6p1Ym23IomqGFu7DHk/FMcn1XLTSSyrShqrqmeK9wWr1p2YIFaxj7lKtGMxRKdKIOwX5ps2bYoh\nQ4agW7du2L9/P6ZPn47evXsry27atAm33HILPvzwQ3z55Zdo3bo1AGDr1q3o27cvfv75ZwwdOhQ3\n3ngjatSoEe6uK3Xr1g0JCQnIzc3FBx98oLyofvz4cUyePBkAcPnll0t9daINIiIiqvwMo+gv3POg\nqqdBgwZ48MEH0bdvX2zYsAEfffQRbr31VhiKDWLnzp24/fbbMXbsWMyYMQMdO3YEAOzZswc333wz\nFi5ciJdffhmDBg1C48aNI/1RAADt27dHeno69uzZgw8//BB33nmnVKawsBAff/wxgKI73Zs1a+Z4\nG0RERFT5MUYnp4T9UTYAcP/99+Obb77BtGnTSr0oDwCnnXYaFixYgKSkJFx99dWBpEqNGzfG3Llz\nkZaWhqNHj2Lu3LmR6LZS9erVce+99wIAPv/8c0yZMiXofcuycM899yAzMxMA8OSTT4alDSIiIiKi\nEzF8+HBMnToVY8aMwYABA5QX5QGgYcOGmDVrFk455RRcc8012LNnDwAgPT0dX3zxBTIyMlBQUIBp\n06ZFsvtBXC4XnnjiCQDA8uXLlY/AfOaZZ/Dnn38CUMfXTrRBRERERKQr7HfMHzx4EB9//DHOOuss\nrQRTycnJuO222/D000/j008/xe233w4AqFmzJvr374+33noLK1asQP/+/W31Z/v27Vi1alXgdUFB\nQdB7n3/+eeB1XFyc8m72p556CvPnz8fatWtx44034quvvkKHDh2QlZWF8ePH4/vvvwcA3HPPPbj4\n4ouV/XCiDSIiIqrcDIT/LgrejFM15efn4+2330bt2rXRt2/fkOU9Hg/uvvtu3HHHHRgzZkzgonRi\nYiIGDx6MYcOGYcWKFbb7s2/fPixZskTqY/F7JWN0oOgXqB5P8GMd7rrrLnz++ef45ptv8OCDD2Lp\n0qXo2rUr/H4/pk2bhjlz5gAAevfuXepndqINIiIiqtwYo5NTwn5hft26dcjPz0eTJk2065xyyikA\ngJUrVwZNb9myJQDgwIEDtvuzYMECDB48WPnewoULsXDhwsDrpKQkHD9+XCpXrVo1zJ8/H/3798c3\n33yDMWPGYMyYMYH3XS4XHnroIbz00kul9sOJNoiIiIiI7Ni6dSsOHz6Mdu3aweXSO7UMZ4y+cuXK\nUn9Zu2rVKum9w4cPIzU1NWiax+PBjBkzcNttt2HatGmYNGkSJk2aFFRmwIABeOedd0r9dYATbRAR\nERER6Qj7hfniC9t79+7VrlP881jxonjxXTGJiXJCQV0ZGRno2bOnVlmfT5VSs0j9+vWxaNEifPfd\nd5g7dy527NiB+Ph4NG3aFH369MGpp54asn0n2iAiIqLKyzCMsF/848XFqinaYvS6detqx+gl5ymq\nXr06pk6dihUrVuDzzz/H9u3bYRgGmjRpgmuuuQYtWrQI2bYTbRAREVHlxRidnBL2C/MZGRkAgBUr\nVuD3338PmSDJNE2MHz8+qG6xv/76C0BRsiq7rrjiClxxxRW265dkGAYuvfRSXHrppRXaxomwTCso\n87UlZKNXZjQXspOrMqGb+XIGc39+cNsFppxCW8xyrmhamQldnKaTLV09P716digzqAsDrZg9vWj+\n8nLyiZnQ5UT3cOfL2dHFbPSmP3Qac8Mt30Xn8shDR1xCfHA9X5Jcr1pq8OvqNeU+JqZJ00xhWha8\nUpkjOYXytLzgz7v7WJ5UZl9WfvDr43KZ3Zm50rRDQr3M7HypzPHc4D4VFsj7hZh5XkWVjT7OI6/f\n5ITg9ZKaKC+nGknB0+qlJkhl6iTHy9PEetXkMgXCZ6keL88/SbF+IWzjblNel658eR1YuVlBr+MS\njsn1hG1VtT2riPuGuO8UTVOMYcI6zlHsYznCoCK+Bkobw0KPj3aJ45M4NgHq8cltWCHLiP30KlaB\nauz1CtM8fo1155X3C0Bed26I5eT1ZJVYKDr7KVGsOemkk2AYBv766y98++23WrHouHHjAIQnRm/V\nqpX0uJoT0bZtW7Rt27bC23CKOA6p4m8xji+aplHPFI95qnbkaWI5UzGW68TaOnG7boxu59goHsuK\npsnlfFIMIR9fpHYU8ZoqplAtX5Gh+GWLyxsc57gT5NhLjMmNpBS5HUVMbvqqB79WxHC57uAb2Y7k\nyp/tWJ782fZmBcfbYjwOAHsVMfkeISbfp4jtDwr1jmXLJ0r5eXKsWVggnAfbjtHl9eSND15P1RLl\nLxZrquJvId5OV8TtdYV6YswOAHWTdOJ2+dwtISl07OVSxO2mELcbudlSGXd2jtyWsD2rtnmRemwK\nHbcXKs4d5The3gZUsb08Xim7aotOrK0aw/yWcL1AFdsLZVTXftyKwN3SOJ8yFHG7yx3cvqEYaE3h\n4TCqOZkl4nadsZMo2oU9+etZZ52F008/HaZpolevXtiwYUOpZbOysjBo0KDAM+CvueaaoPeL655+\n+unh6zARERERUSVXu3btQB6jm266Cb/88kupZfPz8/HPf/4TX375JQDg2muvDXqfMToRERERUfmF\n/Y55ABgxYgS6deuGjRs34uyzz0b37t3RoUMHNGzYEB6PBwcOHMDKlSsxefLkwM9pBw8eHHheJVCU\npHX+/Pnwer2O3fFOREREFM1cRtFfuOcRTseOHcOKFSuwbNky/Pzzz9i6dSssy0KLFi0Cd2A7xbIs\nzJo1C9OnT8fWrVthmiYyMjLQq1cv9OrVC2636lcVVderr76Kiy66CH///TfOPfdcXHXVVejYsSMy\nMjLg9Xpx+PBhrF69GlOmTAncFd+9e3dceeWVQe3MmjULANC1a9eIfwYiIiKiSKsMMTpFh4hcmL/q\nqqswbtw4/OMf/0BWVhamT5+O6dOnl1r+1ltvxTvvvBM0bd++fXj00UfRsGFD1KpVK9xdJiIiIqIT\nNGzYMLz00kswFY+vS0iQf5J/Ivbv34/rr78eixcvDpr+ww8/YPz48bjwwgsxZcoU1K9f39H5xrK2\nbdvi888/R79+/XD48GHMnTsXc+fOLbV89+7d8dlnnwVNy8zMxG233Ya0tDQ0bdo03F0mIiIiIqo0\nwv4om2L9+vXDunXrcM899yA9PV163+fzoVu3bvjyyy8xduxYxMUFf2fQoEEDPPzww+jbt2+kukxE\nRERUoQwjMn/hcvDgQSQlJaFDhw549NFHMXXqVDRs2NDx+eTn56NHjx5YvHgxXC4X7rvvPnz99ddY\nvHgx/vnPf8LtdmPJkiXo1q0bsrPlZ91WZV26dMH69evx6KOP4qSTTpLej4+Px+WXX45p06Zh5syZ\nUoLX1NRUPPzww7jtttsi1WUiIiKiChXrMTpFj4jcMV8sIyMDb731Ft566y3s2rULe/fuRWFhIdLS\n0tC4cWPpYjyFn+m3YCqShZR8P9Q0VaJXVT0x2avdJK6KfFSayV9Dz0+VOsSphIs6yV/zTVXiRNVo\nHPydmirhi0eR0CZOSA6qSvCiQ0zMA8jJpgyvfCekKyE4qZClSDJkJVSTpuW7gxMWHcuRt7lDimm7\njgUnHtp1VE4g+tfB4As0Ow/LF2xUyV+zjgYnlsrPkRNL5eVENvlrvC94vez1yYmlklKCl+X+Y/J6\napiWKE3Lrhk8TUwYBQANqgW35VJEEh6fnHwqXljnVoG8DsRtBwBMYRtTJTxTbas6xH1DlQhPlTRK\nJ7Hr8UIzZJkCZZK7yI1FLoROIqWqp5OIT5noVet3mvI6MPxCPcXxSJUQ1nAF98GtSj5VouOqYxrp\nef755/HOO+/AVSKB22OPPeb4fN59910sXboUAPDee+9h8ODBgfcuvfRStGrVCv3798evv/6KESNG\nYOjQoY73IZalp6fj5Zdfxssvv4y9e/di9+7dyMvLQ/Xq1dGkSRN4vfL4SuFlmVZQjCCOQzqJXpX1\nFL9eEY9xOoleAb3YXuySTvyvW083IWwoquOiOpm5uAzke9zchpBIVxH7+QvkZWnqxIOKR3G5hST3\nqrhHjMldiXKsbXl80jRTiNP9Hjk+PC4ke1Ulet2tSOIqxuQ7M+VEoDsPK6YdCo4RM4/IMXqukOw1\nN0uO0QuUyV+DP4u/MHRSSXecYhtQJMb0CjH5EZ+8ng4my+PsvurB6y5Tcb5xPC34s+Qp+q3evIJj\nclVyUE9C8Do34uXlbeQr4nZhGzOPZcplVOeTwvas2uZFqn1HdX4l7ouq9SvG5GLMDuiNYeG9XqAX\nR4t9UORwlcZQZTwu52WGW9hU/RplAL3ErmK8L9YR6+mcSxNFuwq7Et6gQQM0aNCgomZPREREFPVc\nCP/PG8PZfs2aNcPYehHLsvDKK68AANq0aRN0Ub5Yv379MHr0aHz33Xd47bXX8Oijj/KGkFLUrVsX\ndevWrehuEBEREUWtWI/RKXpU6HrOzs5Gbq78rSsRERERkY5ly5Zh165dAIBbbrml1HLF7x08eBDf\nfvttRPoWq3JycpCTI9+tSkREREREzonohfm///4bjz32GM4++2x4vV4kJSWhf//+QWW2bduG5557\nDhMmTIhk14iIiIiijgEDhhHmP8T2AyyXLFkS+L99+/alliv5Xsk6VPRlxb/+9S+0adMGCQkJSExM\nRKdOnYLKHDhwAM899xxGjx5dQb0kIiIiig6M0ckpEfsN76xZs9C/f38cPXq0zHKpqakYPnw4UlJS\ncOONNwY9k5SIiIiIqKTff/898H/Tpk1LLXfKKafA5XLBNE2sX78+El2LCd9//z2uu+467Nu3r8xy\nqampePXVV5GVlYUbb7wR1arJz6kmIiIiIiJ9EbnqvWLFCvTp0wdHjx5Feno6Hn74YeXzP4GioP+C\nCy7AoUOHsGLFikh0j4iIiCgquYzI/BXLzMzE4cOHS/2LRrt37wYAJCcnIzk5udRycXFxqF27NgBg\nz549EelbtNu8eTO6d++Offv2oUaNGrjvvvvwz3/+U1k2Li4OnTp1QkFBAb755psI95SIiIgoekQ6\nRqfKKyJ3zD/yyCPIy8tDhw4dMHPmTFSrVg1Tp07F+++/ryx/3nnn4fvvv8cPP/yAc889NxJdpP9n\nCem7LTN0NnoVVZZzMTO4Klu5OC1fMXudTOiqMgWWTgZ1RQZ3qd/2Mn+rMt27DaEtt/xdmVuxDMSM\n8V6X3CdT0U9xfYrrW8VQ9MmlmuYJHk4Mb4Lcli8peP5xchnL45OmZRUE9/u4YsM4kC2ng993PC/o\n9V8Hs6UyW/YfD3q9R1HmeKacCyPraHDbuVlymYKsI0Gv/fny83r9hYo09gJ3nJzW3u2Vl5MnqXrQ\n64Qkefnm5xQE9zGvUC6j2H+leSmihHhhu0iIk7eT+Di5nldY56rtQtx2AHkbE7dBQN5WVduzis5Y\nqNrHxDFF3FdVZVRjU45fZwwN31ikKqPaKjy2gkXV/OVSWscMYVt1ud1aPZDHQrkDhl5TlU6TJk3K\nfN+yud2F0/HjReN4YmJiyLLFZYrrVHVPPfUUjhw5gpYtW+Krr75C7dq18cMPP+DVV19Vlj/vvPMw\nZcoU/PDDD+jRo0eEe1u1mH4LZomx2fKHjuFMxTRxvFOWEdr2K+Is1TFPZ5zWidHtxvbqc4nyj1Gq\nY55GiKw8VnuF+MiT75fKiMu7aFrwDE1FGRUxrnHFeeQyQrxkxMsxpOWVx0/LEzwtRxEfZgsx+iEh\nzgT0YvSdh+UYefuBLGnaESEmV8Xo2ceC287Lksd7MUYHgEIhTjcLQsfoLo8co8dpxOjxSfKXyAV5\n8rZSKCxfv2I/EHmV8bdimrDteBXBWIIQtyd7VNuJIm4XtjHVeaFyW9WM00PxK/Y7U5imGlPEfVpd\nxt41BR06Mbo4xpwIsS3luKe6HiTsGm55N4CpiK1dwtmEqbhPWJ6iOB6VKKU6phHFmrBfmN+3bx++\n/fZbeL1eTJgwIfCzV0Mx6BSrW7cuAODPP/8Md/eIiIiIopYB1VcZzs8jlhUWFn3B6Nb4Yqa4THGd\nqiwvLw8zZ84EAHzyySeBXxMwRiciIiIqG2N0ckrYL8yvW7cOlmXh3HPPRf369bXqpKenA0DU/mSa\niIiIqDLasmULUlNTK7ob5VL8+JrcXPnOSVFOTk5Qnarszz//RHZ2Nk499VQ0b95cqw5jdCIiIiIi\n54T9wnzxT4Vr1qwZNL2su3GK72LyeOSfNxERERFVFZF4vmTJ9lNTU5GWlhbeGTqsuL9Hjx5FYWEh\n4uJKD2+LLyjH2pcP4cAYnYiIiMieSMfo4WJZFiZPnozJkydj06ZNyMvLQ6NGjdCtWzfcdtttSElJ\nsd328uXL0bt373LVee655zBgwABp2nvvvReybo0aNbBmzZpyzS8ahP3CfPHJ0t69e7Xr/PHHHwAQ\n+EktEREREZHKaaedBgDw+/3YsWMHGjdurCy3b98+ZGcX5RFp2rRpxPoXrRijExEREVVdmZmZ6NWr\nF7799tug6Rs3bsSiRYswYsQIzJgxA61bt7bVfl5eHnbt2lWuOtWrV5emZWZmarWj8+vZaBT2C/PN\nmzeHy+XCypUrsW/fPtSpUwdA6XfjFBYWYvLkyQCKEkxR9JGTE+kl3BCToKgTrZa/DKCXTFEnsVR4\nk7+GniYlg4UqAYqc7FU3kVa8Q8lRDJfcK8MV/GxfQ5EMyRCS/Jhu+Y47v0uelu8PfhZwdoGc0OeI\nIonpgazgzDT7hGRQALBPSBolJnUtddqh4J/x5x0/JJURE0sV5spJrExT/iwil0t+bnJcgpwM1ZMb\nnNzKn1dD0VrwnbCG4mv4fYrES8kJweuleqK8nlKEMjUU66maX27b7w2u51JsF8oEUcI2Jm6DRdOc\nSSKlGufsjil2E+FFdizSbExcvIr8UGJbOom/VdPUw1dw46r1ZKgqan9AigUtW7YM/L98+fJSL8wv\nX75cWaeqaty4MVJSUrBt2zb88ccfOOOMMwCUfcf8p59+CoAxeiwRx0WdpLHqRK/OHM/sJn9VDeWq\neN/OsVGZZlXjeKZK1Cj226dMtmvv+K1KjClNU8VCwi9cxHgcUMfkVlx80Ov8PHmh5ArJMo/ny/H4\nkVx52qHjQox+VL6YckwRt2cJ5cRErwCQkxkck+vE6ADgzw9u26+R/NWtON9xKxKdyoll5RjdsuRf\nqxnC6o3zyNvAPm/wOk/1hY7RAaB6fPB6yferzsGE8SM+XipjKTJ/inG7uA0WFVJsq8L2rNrmxcTI\nqv1JZ5xTjzvia73xShyL7MboqrGoonObqpLNuoXPp4q1VdPEz+dQrl+yyTRN9O7dG99++y0Mw8CD\nDz6Ifv36wefz4ZtvvsGwYcPw119/oWvXrlixYgUaNmxY7nmce+652LFjR5llCgsL0apVK2RmZqJG\njRro1q1bqWVr166NlStXlvq+Tr6paBSRO+Yvu+wyLFq0CA888AAmTJhQZsD/yCOPYOvWrUhJSUHn\nzp3D3T0iIiKiqGUYRplxk1PziGWdO3dGfHx8IJnp9ddfryxXnOjU7XajS5cukexiVIqLi0P37t0x\nYcIE3HfffZgzZ06Zj6h56aWXsHz5cng8HvTq1StyHSUiIiKKMrEeo48fPx6LFy8GAPz3v//FQw89\nFHivWbNmOPfcc3HBBRdg7969GDZsGD7++ONyz8Pr9Ya8oD9z5kxkZmYCAPr16wevV/6yr5jL5bL1\nBUG0i8h3VM899xzcbjcmTpyIrl274scff0RBQUHg/YKCAixevBhdu3bFiBEjAACPPfaY8icMRERE\nRETFkpOTccMNNwAApkyZEnjcSklbt27F+PHjAQA9e/ZErVq1ItrHaPX000/D5/NhwYIF6NChAxYt\nWoS8vP/dger3+7F06VL07dsXTzzxBADgzjvvRKNGjSqqy0RERER0gl577TUAQJMmTfDAAw9I77dt\n2xa33norgKKL+Pv27QtLP0pe8B84cGBY5hHtInJh/vzzz8fbb78NwzAwf/58tG/fPnACNXv2bCQm\nJuKyyy7DvHnzAAC9evXC448/HomuEREREUUtw/hfcqlw/UX7DfOPPPIIWrZsiZYtW5Z6UjB8+HAk\nJycjPz8f3bt3x6pVqwLvrVu3DldffTWys7ORkJCA559/PlJdj3pNmzbFuHHj4PF4sGTJElxxxRW4\n7LLLAAA///wzEhMTccEFF2DSpEkAgIsvvhivvPJKRXaZiIiIqMLFcoy+ZcsWrF69GgDQt29fuEp5\n/OtNN90EoOixN1988YXj/Th48CBmz54NADjnnHPQqlUrx+cRCyL2VKc777wT8+bNCzy/slheXh4K\nC4ueb5aUlIRnnnkG06ZNK3XDICIiIqLYsHbt2sBF9eK/4mdNqt77+++/pTa2bt2K1atXY/Xq1cjP\nVz/zNyMjA5MnT0ZCQgI2b96M1q1bIyMjA40bN8bZZ5+N9evXw+v1YsKECVIsWtVdd911+O6776TE\nXgUFBYHlHR8fjwceeAALFixAvOIZw0REREQUG5YtWxb4/6KLLiq13Pnnnx+4NluyjlM+/fTTQKw5\naNAgx9uPFWF/xnxJV155JdavX48ff/wR33//PXbu3ImcnBzUrFkTrVq1wlVXXYUaNVTJComIiIiq\nHgNiitvwzCNcsrKyAnfkiLKzs6X3SrvwrqNLly5YuXIlhg4dirlz52L79u0AAI/Hg86dO+P555/H\nOeecY7v9yuz888/HL7/8guXLl2Px4sXYvn07srOzkZaWhrPPPhtXXXUV0tPTK7qbRERERFEhlmP0\n33//PfD/qaeeWmq5xMRE1KtXD7t27Qqq45SxY8cCKHoWfb9+/UKWP378OK6//nqsX78eOTk5qFGj\nBs455xz07NkTV199dczmzYrohXmgKHlB+/bt0b59+0jPmiJIJxO5KsO4TtZxvTJyIZ1p6j6FLqNH\nVTF44FBleVdlQg9ndnbLr8oHr8ElZMBW/erFFTzkWC55CFKtp0JhuRSYch/zCuVpOfn+oNfHcwuk\nMgV5/jJfA0BejlyvMPd4cL2sI1KZ/OyjwXVyjktlLFOen8gQly0AU6OeO05OnJKXkxz0Ot4nJ/pT\nLQNx2YnLFpDXgWo9iesSkNd5nGK7ELedomnCNqZYTjpsb/MaVPuqODfVfl/RY5GqjM6Y7VEEQ3bH\ndTtjvb0tgMKpRYsWQY+VCaV+/frStP/+97948sknAQB169Yts36zZs0wY8YM5OXlYdeuXbAsCw0a\nNEBCQkL5Ol5FtWvXDu3atavobpBNluK4K5WxecxzKvbUHe/FafqxvZ1eyZVUv932W4bwOnSfLM0O\nmU7FIsr4W4zRFTGVIdczhdjAr4pXpBhdLpNbKMeMx3ILg16r4kpVPFqYL8SaefKXuWKMroq/C3Kz\n5HpCOZ0Y3Z8vRx5xinpiLK+K0Qt9ydK0gtzgOF21TMRlJy5bQL0OxHWlitv9ZvB2Yakueqnib3F7\nUpWJ8BMSxH3R/vUKe9cU9CgqGuK4o+pT6GnhvH6gojrWGO7g7UB5zHIzmi9NcYLU0qSlpWm3tXfv\n3sD/oW68KL4wX7KOE9atW4eVK1cCALp3746aNWuGrJOVlYUpU6YEXm/ZsgUrVqzABx98gLZt2+Kz\nzz7DKaec4mg/IyHiF+aJiIiISI/LMOAK890f4Ww/MTERLVu2PKE2MjIyyl0nPj4eTZo0OaH5EhER\nERGpRDpGDxXXWhpfNhU7fvx/X0QmJiaWWdbn80l1nFB8tzwQOulrXFwcunfvjq5du6Jp06Zo1KgR\nCgoKsHr1aowaNQrffvstVqxYgQ4dOmDZsmXKG32iGS/MExEREREREREREVVyZolfK4R6/EvxM+ZN\njV/l6fL7/ZgwYQKAojvyr7rqqjLLP//883Arfk1x5pln4sYbb8TTTz+Nf//739i5cycefvhhfPrp\np471NRIcuzC/fPlyvPHGG041BwA499xzcd999znaJhEREVGsMAzpV8xhmQdVXhs3bsSzzz7raJun\nn346nnrqKUfbJCIiIooVkY7Rt2zZgtTUVEfaTU7+36OzcnNzkZSUVGrZnJwcqc6JmjdvHvbs2QMA\nuOWWW5QX3UsK9f6zzz6LBQsWYOnSpZgyZQreffddVK9e3bH+hptjF+a3b98e+MbDKbm5ubwwT0RE\nRERk0759+xyP0S+66CJemCciIiKKkNTU1HI9R74sNWrUCPx/4MCBMi/MHzhwAED5nmEfSsnH2AwY\nMMCRNm+88UYsXboUhYWF+OWXX3D55Zc70m4kOHZhvmbNmjjvvPPKLLNr1y7s3LkTQNFG1ahRI3g8\nHuzfvx87duwAUPT8ohYtWgAAmjZt6lT3iIiIiGKOYVkwyvHMSLvzoMorJSUlZIy+b98+bN26FUDR\nHVEZGRmIj4/HwYMHsX37dliWhbi4OLRp0wYAcNZZZ4W930REscjyy4lWdRLJ6pQhougRyzH66aef\nHvh/69atOPnkk5Xl/H5/4BruGWec4ci8Dx06hFmzZgEALrjgAsfabdiwYeD/gwcPOtJmpDh2Yf6y\nyy7D0qVLS33/7bffxqOPPoo+ffrg8ccfR+vWrYPe37t3L8aMGYMXXngBDRs2xNixYx39qQQRERER\nUVXTokWLMmP0Tz/9FHfffTc6d+6MZ555BhdccEHQ80YPHTqETz75BP/6179QrVo1TJgwAXXq1IlE\n14mIiIjIYa1atQr8//PPP6NDhw7Kcr/++ivy8/OlOidi4sSJgTYHDRrkSJtAUbxarFq1ao61Gwmu\nSMzkww8/xL333ot7770XkydPli7KA0DdunUxbNgwLFiwADNnzsT1118fia4RERERRS/LjMwfVUmz\nZ8/GzTffjF69emH+/Pm48MILpSRgNWrUwP33348ff/wRy5YtQ/fu3VFQUFBBPSYiIiKKAjEco7dq\n1QqNGjUCAEyfPr3UctOmTQv836NHD0fmXfwYm8TEREev+86bNy/wf/PmzR1rNxLCfmE+Pz8fQ4cO\nRa1atfDcc8+FLH/hhRdiwIABmDdvHhYtWhTu7hERERERVUmPPfYYPB4PRowYIV2QF5155pl44IEH\n8PPPP2Py5MkR6iEREREROe0f//gHAGDZsmWYO3eu9P6ePXvw3nvvAQA6dOjgyKPG169fjxUrVgAA\nrr32WqSkpJxwm0DRjSYzZswAALRv3z7osTaxIOwX5levXo29e/eiXbt28Hg8WnUuuugiAMD8+fPD\n2TUiIiIioippx44dWL9+Pc4880ykpqZq1WGMTkRERBT7HnjgATRu3BgAcNNNN2Hq1KkwzaI79Feu\nXInOnTvj8OHD8Hq9eOWVV5Rt/Otf/0LDhg3RsGFDrFq1KuQ8SyZ9HThwoFY/v/jiCwwcOBAzZszA\n7t274S+Rx2Pbtm0YOnQoevfuDcuykJCQgNdff12r3Wji2DPmS7Nnzx4AKNdPXovL7t69Oyx9IiIi\nIooFhmXCCPOjZsLdPkUnxuhERERE9sR6jJ6UlIQ5c+agY8eO2L17N/r06YOEhATEx8fjyJEjAACv\n14uPPvoIbdu2VbaRmZmJXbt2AQDy8vLKnJ/f78f48eMBAI0bNy71ufaiw4cPY+zYsYGL+i6XCzVr\n1kReXh6OHj0aKFe7dm2MHz++1L5Gs7BfmK9VqxYAYOnSpTh69KjWTxW+/PJLAEDNmjXD2jcKH7fy\n59CWUEZVT6dte/PXm58q67VYyF5mbJ0+eV1yGdXPWnSWgV2G2+YPaUy/8FpxEDELg+clvAbUyylO\nWC4el9zH+Dh5ms/rDnqdnCD/ascT7y7zNQDE++R6hTnByak9hflSGZHLJbdtistNs15cQpI0zZNU\nXSgjJ9AWP4vq86qmictOXLaAvA5U60lcl4C8zlXbhbjtFE0TtjGNZalie5vXoNpXxbmp9nu/VbFj\nkbqM3rRQbeuWsTvWE5Ge4hj9999/x86dO7V+9ssYPboZiuMu/MHHRuUxz2/v+GmH7ngvT5MLqS9X\nlP/YqH/MK389QzNodzkViyjjbzFGV8RUios/LvHcTRXDSTG6XCYhTo4ZE4U4UhVXquLROK9LeC3H\n6GL8W5ifI7etETNaGvuF4Vb10SdP8wX3SRWjexISFNNCn6eIy05ctoB6HYjrShW3i+vXUMWnqmUp\nbk+qMqptNYzEfVG9/+pcr9AZi5yL0cW1YncMDef1AxWd8yvlMYsiqlmzZli7di2ee+45TJo0Cbt3\n70Zubi6SkpLQtWtXDBs2DOecc44j8/ryyy8DN3YMGDAg5CMUi/Xu3RtxcXGYP38+fvjhB/z999/Y\nv38/gKIvDlq0aIHevXvjjjvuCMS2sSbsF+bbtGmD6tWr48iRI7jjjjswYcIEuBUHsGKfffYZpk6d\nCgDo2LFjuLtHREREFL0sK/zJWZVfBFFl17hxYzRu3Bhbt27FwIEDMWvWLCQoLgwVW7hwIUaNGgWA\nMToRERFVcZUkRq9ZsyZef/11vP7668jKykJeXh5q1KihVXf48OF4+OGHAQB16tQps+zFF1+MHTt2\nACi6u11X9erV0b9/f/Tv3x8AYFkWDh06BMMwkJqaClcl+IIn7J/A6/Xi8ccfBwBMmjQJbdu2xfjx\n4/H3338Hyhw/fhzffPMN+vfvj5tuugkA0Lp1a3Tr1i3c3SMiIiIiqpKefvppAEUX3c855xyMGTMG\n27dvh/X/J4I5OTlYsmQJ7rzzTlx11VUoKChA48aNcfPNN1dkt4mIiIjIYUlJSdoX5YGii+bFz5j3\ner1llq1WrVqgbHx8vO0+GoaBmjVrokaNGpXiojwQgTvmAeCRRx7BunXrMGHCBPz666+BYN7tdiMu\nLk56FlFGRgamT59e5p31RERERJWeZYX/bhneMV9lDRgwAGvWrMHrr7+OjRs3YvDgwQCKnt/p8Xik\nGL127dqYOXMmfD75UQ1EREREVQZjdHJIRL5ecLvdGD9+PN5//32cdNJJgel+vz8o4Pf5fLjzzjux\natUqnHzyyZHoGhERERFRlfXaa69h8uTJaNq0aWCaaZpBMbrH40G/fv2wZs0aNG/evCK6SURERERU\n6UTkjvlit99+OwYNGoSlS5dixYoV2LNnDwoLC5GWloazzjoLl1xyCVJTUyPZJbJBTJziUmQS8Sty\nConJTOwmKVFN84pfMake9aXxNZRf8YWkOE1VRofd5K+qaWJbuvVU68oOS5GsxxKS+lgFcjJUq7Ag\n6LXhL5DKuE15mldIHpPokX9NUz1eHs5qJQX/nOpINfknU8dzg+dn+lWfTbXS04JeuePluwcLhMRO\nfkXyKb9G0lh3nPyzMLcisZSY/DUhSX5WcFJKfJmvAaBOqlyvjrDsxGULyOtAtZ68im1QXOeq7ULc\ndgB5GxO3waJpzjz3T7Xv6Ox3qv1eLKPqod9SJYQt+7UuuwntVJ/XozEWyWO/vcSyOoleVetJN/Fe\n1LLMCDy/MrIJ2Cj69OnTB9dddx1WrlyJZcuW4e+//0ZeXh6qV6+OZs2a4dJLL43ZhFpVnTguKkNk\noYzlVx0DnOxV+eUrY7HQiRJ16B7zxGmqZSKWcfK4ZKliVHGaKhYqCI6hVDGVKvYyCoN/MeN1y7Ff\nghCjJ3vleLyaIhlpjeTgto7lybHn8Vz5hLKwIPjzqg5fhhH8GAbDJc+/MOG4NM0jxOmm4lxGmpfi\nF/4eRWJXMdlrfLUUqUxSirwMfMnB8XeiIv6uI9QTly0AVE+Q14u4rlQxujhN3CYAwFAkExa3MXEb\nBKDeVoXtWbXNi4mSVfuTapq4L6pjVoQso4y/hW7aHS6dvF4gj1f2yqiGK5dhb5xz6lpE1GCMTg6J\n6IV5oOinsRdeeCEuvPDCSM+aiIiIiIgUDMNAmzZt0KZNm4ruChERERFRlRDxC/NEREREpMeACSPM\nd8sYyntoiYiIiIhIhTE6OaVypLAlIiIiIiIiIiIiIooRjl2Y/+qrrzB8+HAcPXrUqSYBAJZlYdq0\naXjmmWccbZeIiIgo6hU/vzLcf1Rp/fLLL3jkkUdw4MABx9v+6quv8NBDDzneLhEREVFUY4xODnHs\nwvzRo0fxr3/9C40bN8bzzz+PPXv2nFB7eXl5mDx5Mlq3bo3rrrsOv/32m0M9JSIiIiKqGnJycvDf\n//4XjRs3xtChQ7F9+/YTaq+wsBCzZ89G+/btceWVV+Lnn392qKdERERERFWLY8+Yv/jii3HDDTdg\n0qRJePLJJ/HMM8+gU6dO6NevHzp06ICGDRuGbOPYsWNYtmwZpkyZgsmTJyMzMxMAcNZZZ+Gee+5x\nqqtUBjF7tuFXfHfjlzOoi9xxcj13QXA9VVJuOeu4qnV72bzdigzqYvOmom2/ZQmvbc5f+XmDJ3oU\nmdhV2dF9GlnlxWzpAGC4QmexF1l++VtaUzWtoDC4Xn6u3FZOVvD8k+QyRkGONC3JWy3odZ5XXpm1\nEr3StDyhnwWmYiMQeBXb7u54eaj0+jxBr/Nz4uX55yQFvS4skPcdS6NPhmL9xnnc0rR4X3A/xT4C\nQFJKcD/rpSZIZRqmJUrTTqoZPK1Osvx5xXWQrNiBkzzyNCNf2C4KQ287gLyNidsgIG+rqu1ZRRoL\nXXK/VfuYuC+K+yogjyF+1SbglucXybFINfSqxhmxnqqMOE01ruscD5RlFPurDjtjYYWJxN0yvBun\nUjv77LMxePBgfPDBB3jxxRfx0ksv4ZJLLkH//v1x+eWXo0mTJiHbyM7OxooVKzB9+nRMnDgR+/bt\nAwA0btwYjzzySLg/QpXkchtwlRibTEXUKtVRtCPWcynqWcIxxy2HVEC+XM9tWMJruZrquKBDPL6I\n8wLk42LRtPLPT7ff8jFeXuJiGZdXjtfcimniccilaFtFjGvMwgKpjEuIl6w8OdY28rPlaQXB03w+\nOWb0xQXPP9Unx8x5fjlmFGNyv0Y8DAA7heN+piKu9MQHL9+EJHmDzs9JlaaJcbqp0SeXZozuEc4l\nEpLkGN2XLPcztXrwMm9YQ47RG6b5gl7XS5HXk+o8qYZwnpCoWJY+YXkbOYrtRLHtiNuY6rxQta3q\nxumhqPYxcV/05snnZfI+rdcfcQwJZ4xud7xSx/Gh5+9RnAO5vWIcrThPUjQmxt/KMuI5WIi2XTaX\ntSMYo5NDHLswX7duXXz22We4//778dBDD2Hp0qWYP38+5s+fDwCoX78+2rVrh3r16qFmzZpITU1F\nVlYWDh06hAMHDmDNmjVYv349TPN/G16dOnXwr3/9C3fccQfcbnlwJSIiIiKi0lWvXh2jR4/Gvffe\ni3/+859YsGABvv32W3z77bcAgNq1a6Ndu3Zo1KgRatSogbS0NOTm5uLQoUM4ePAg1q1bh7Vr16Kw\nsDCozaFDh+L+++9HfLx80Y2IiIiIiEJz7MJ8sQsuuAA//fQTfvzxR7zzzjuYOnUq8vPz8ffff+OL\nL77QauPCCy/EnXfeieuvv57BPhERERHRCTr77LPx1VdfYeXKlXj33XcxceJEZGVlYf/+/Zg7d65W\nGy1btsSdd96Jfv36ITk5Ocw9JiIiIiKq3By/MF/soosuwkUXXYQ333wTCxcuxLfffovvv/8e27Zt\nw/HjxwPl4uPjkZ6ejvPOOw+XXnoprrjiCjRt2jRc3SIiIiKKHfyZLDmsdevWeP/99/Hqq69i0aJF\n+Pbbb/Hdd9/hzz//xNGjRwPlPB4P6tSpg3bt2uHSSy/F5ZdfjhYtWlRgz4mIiIiiBGN0ckjYLswX\nq1mzJm644QbccMMNgWnFP49NTk5GSkpKuLtAREREREQlpKSkoHfv3ujdu3dgWn5+Pg4ePAifz4fU\n1NSK6xwRERERURUQ9gvzKgkJCahfv35FzJoEYmIpMa+rKiGHZYoZWhXP/8+Xk6l4pESyob/9E5Od\nFE2TE/HoJC5RJWER23IqiZSKTjIXnUSvqmmqMnGK5EtyohZ7n83Ml5Ns+nPzg+evSvKTG5zAMy5P\nTuhpeI5J07xCFrJqXjmBkWkpkmu5gpMfeRTLN1FI0FRDkXipdjX5sxzKCv68mdn5UpnjucHLKdzJ\nX5MTgtd5qirRk5AAS5X8VZXYtY5Yr5pcprqQbKuaIsun158nTTNyg9e5odgu/Lmhk7+K2yCg3lZ1\niPuGuO8A6n3MZwaPa+rxQ0iypxjT8hXbhZz8VdG0TfIYqpeIWk7Y7UzyKVU5VfIp8RilSrKnOo6p\nppVVpkITS5lm0V+450EEwOv1ol69ehXdDULRsb/k8V+OotWpXkU69cRkr375cFpKQlihjMbxTCfZ\nNyAf41SJw1XHWDvHRt0+iYkhVfG3mJTcrYjXVHGdKomoyBJP1AD4hcT3qrhHjJfMbDnWjkuSb5Zz\nCfGYO06OGavFByceVR9N5I1H/LjximTuYlwLAKlCwtJ9ikSnB48Hx5rHsuUko3k5inMZKZFu6GOj\nS9FvtyJZpZiQtrrifKOmKv4W4u10RdxeV6gnxuwAUFsxrVp8cD+TFTuZW0gALG4TAGAUyMmE/cI2\npkz+qjqfFLZn1TYvUu07qn1M3BfFfRUAfNK1AMUy0Rjnwhmj242jdWJ7l+rai2K7EBOyKstoxO2q\naxFi2+oksoby/4hjjE4O0Uv3TkREREREREREREREjqiQO+aJiIiIKDTDsmCE+fmShuLXYkRERERE\npMYYnZzCO+aJiIiIiIiIiIiIiCKId8wTERERRSvLLPoL9zyIiIiIiEgPY3RyCO+YJyIiIiIiIiIi\nIiKKIN4xb5NpmpgxYwamT5+ONWvW4ODBg/B4PKhXrx7OPfdcDBgwAK1btw7ZzsGDBzFq1CjMmTMH\nO3fuRHx8PE477TT07dsX/fr1g0uRzdpJhssIzmotZZGXv6Fzwy1MUWRL94plFPP2K7J+FwbPT8xw\nDqizjutkK/crns+Vbxohy8jthCyi7JOKnC1dLuOT1olcz+uRl7cqO7pbWC8uRdsiyy9vA2ZBoTSt\nMDcvuE85WXK9Y5nBr70Jch9dimHJCO5nUmKaXM8XL03zCMspIU7+vGk+T9DrOkleqUyDFLmfx/KD\nt/ujuQVSmRyhTH6hvCxV00ReRb9V03zC+k1J8EhlqgllxM9f2rTUhOD1kuyR518tPrjtBDNPKuPK\nPixNcwvTzCMHpTLitgMAlrCNidsgIG+rqu1ZRdw3xH2naJpiveQHl/Mpxgu3YQmv5T75LXkwUI2H\ncr2QRbTGJrchF1J8XKmcqm15nFO1rTgeCNu4S9G4SxrTFO0oxkdDKCcf+xB8bFT0L2Isq+gv3PMg\nqkS+/PJLTJo0CStXrsSBAwdgGAbq1KmDtm3bol+/frjkkktCtpGVlYX3338fX3zxBbZt2waXy4Um\nTZrgmmuuwaBBgxAfL8cd4SSOQ6oIzlRMNYQh0FAcBy1FTC61rSgjjp2qY6wrP3iaqRhvvC5VjB48\nTXVcVNGJ5UWq45LO8UwVf8f5guMlnXgcUB+HRJapiMnzg+Mcf26+3CchXrKyjsrtKGJylxCTW4Yi\n9vQF98mdkCSVEeNxAEgQPm/1eEU8qohj6yYH73dHcuVzEjEmP5Itx+jHFPXyhe3XrxF3uRWfzatY\nl9XEODpBPt9JS5TPQaoL5VTLpJZQLyVe3r6SFdthNWGat0A+dxPjdlfOEamMKm4XtzHVNqfaVsXt\nWbXNi1T7jk7cLu6ravJ1Dp2xwc44VBqdWFsntnYpyojxsHpsUsTfYj2NWLtoWuhxTmxbFYOXPE8z\nrAq815gxOjmEF+Zt2Lt3L3r27Illy5ZJ7/31119YtmwZ3n77bdxzzz0YMWJEqRfXlyxZgmuvvRZ7\n9uwJmr5p0ybMnTsXo0aNwqxZs5CWJl+EJCIiIiKi/zl27BhuuOEGzJs3T3pv586dWLlyJUaPHo0b\nbrgBH3/8cakX13///Xd0794df/75Z9D0LVu2YOHChXj33Xcxe/ZsnHTSSWH5HERERERUNfBRNuVk\nWRauueaawEX5bt264auvvsLWrVvx22+/4eOPP8Zpp50Gy7Lw1ltv4aWXXlK2s3XrVnTv3h179uxB\n7dq1MXbsWGzduhXr1q3DY489BpfLhR9//BG9e/eGqfFNMREREVVCxc+vDPcfUSUwaNCgwEX59u3b\nY+bMmdi8eTM2bNiAKVOmoGXLlgCASZMm4cEHH1S2cejQIXTp0gV//vknkpOT8dZbbwXaePHFF+H1\nerF27Vp07doV2dnZkfpoREREFE0Yo5NDeGG+nH766ScsWbIEANCzZ0/Mnj0bnTp1QkZGBs4880zc\ncsst+P7771G3bl0AwOuvv668sP7YY4/h0KFDiI+Px9dff41bb70VGRkZOOuss/DSSy/hv//9LwDg\n22+/xYQJEyL3AYmIiIiIYsz27dsxdepUAMB5552Hb775Bt27d8cpp5yCpk2b4rrrrsMPP/yAM844\nAwAwZswYHDkiP5bhueeew/bt22EYBmbOnIl77rkn0Mbjjz+O8ePHAwB+++03vPHGG5H7gERERERU\n6YT1wnxhYSG2bduGNWvWYOPGjTh4UH7+WKxZt25d4P+BAwcqy9StWxdXX301AODAgQPSo2p27twZ\nOHG4/fbb0bx5c6mN+++/HxkZGQCA1157zYmuExERUYwxLDMif1S1mKaJHTt2YM2aNdiwYQP27dtX\n0V06Yb/99lvg/5tvvhlxcfITO5OSknDDDTcAAAoKCrBhw4ag97OzszFq1CgAQI8ePXDZZZdJbfTp\n0wcXXnghAOCNN97gL1uJiIiqIMbo5JSwPGN+2rRpGDVqFBYvXoyCguBkK2lpaTjjjDPQvn17XHrp\npejYsSMSEuRkM9Gq5PPey0r6VPyeYRhITU0Neu/zzz+H9f9JHG666SZlfZfLhRtuuAEvv/wyfv31\nV2zbti1wod5JhttVZgJQRVpXiAlh5WSwgKFI4iQm8vDny4OMlEhEkcnQr0iWKSaNUiVAVCVhEctF\nOvmrmKhFlQBRJymiKnlNnCKpkJiYRSeZi6lI5OVXJH8VE/gUHJcTCHnighMI+ePkBEYqbuGAZPjl\nZEG+hGrStPiE6kGvk73yMqkuJEiqkyT3KadAXum5wnaYXSDvLXnCsitQLUubyTo9iv02XpiWqEjE\nIybA9Xnkxn2qxLJxQiJd1T6eKySIyj0ml1EljcrcH/Tar0z+KieNFbcxVRIpcVtVbc+qhKFSMiRV\ngjfFPmYKK9QnlQC8wraj2sdViV6dGp/sJn/VSTalVUaxfanXgZiAV5WgNXSCWJ3kU25FMuOoSSxF\n5KAvv/wSb7/9NhYuXIjc3Nyg96pVq4YzzjgDF154IS699FJ06tQJycnJFdTT8itvjA4ANWrUCHrv\nq6++CjyeprQYHQBuvPFGLFmyBHv37sVPP/2Eiy66yG63S+XyuIKOPZY4wMuHJRguRWJX4XiilSBW\nMW5K84d8zFMlajTcwdNUCWJV8b5HmKZKGquic6xUHeNEqkSJ4nFITEAOAJ4EMfmrXlJEkSpeUS07\nMcl9QVaOVMadcDx4gir/mUuxQYntmHL8bxYGjyNeIfYGgBqKGD3ZG5ywtFq83KcaPrlPOYXB1w1y\nCuRlclxIIKqK0cU4HgAKxH1FY1tSbSfKZLdxoWN01XmKT4hPxHhcVSZJEdN4TTlGNrKD43RXrhyj\ni7G8KtGr/7D8xa4Yy6vOC1Xbqrg9q7Z5qY+asZ+4L4pjjG7bHsU1DJ1tJZxjk845vSrxqs75js7y\n1UnqquxTiMSupSk5f4PXrakScPRM0zRN3HTTTbjuuuuwYMEC6aI8ABw+fBg//fQTXnnlFVx99dVI\nT0/H7bffjvXr1zvZlbBp3749fL6iSy1ffPGFskxOTg6++uorAMBFF12ExMTEoPeLn0/v8XjQtm3b\nUudVMsj/+eefT6jfRERERFR1PfDAA7jqqqswe/Zs6aI8UJQ4dfny5XjjjTdwzTXXoG7duujXrx9W\nrFhRAb0tv3POOQd16tQBAMycOVNZxu/3Y9asWQCAJk2aoEmTJkHvF8foAHDBBReUOq+SMXrJOkRE\nRERE5eHohfk33ngDEydOBACcdNJJeOihh/DGG29g5MiReP311/HUU09Jd7AcOXIEH3zwAc4++2zc\neuutOHTokJNdcly9evXwn//8B4Zh4L333sNjjz2GXbt2ASh6dM+KFSvQvXt3bN68GWlpaXjrrbek\nNv744w8AQKNGjeAV7hYoqeTJwu+//+7wJyEiIqKox8RS5ICJEycGnodet25d3HvvvXjttdfwzjvv\nYMSIEXj66aelu8ezs7Px6aefol27dujduzf+/vvviui6tsTERIwcORIejwezZs3C7bffjj///BOW\nZcHv9+O3335D37598dNPP8Hn82HUqFFwCXcOF8fo8fHxaNiwYanzOuWUUwL/M0YnIiKqghijk0Mc\nfZTN6NGjAQDXX389xo8fD49HfiTEm2++iby8PIwfPx41atTA7NmzMXXqVOzbtw/jxo3D119/jenT\np6Ndu3ZOds1RxUmg/vOf/+CVV17Bf/7zHyQkJKCgoAB+vx+JiYno168fhg8fHhS4Fyt+jmd6enqZ\n86lXr17g//3795dRUnb4sPzYh2KZmZnlaouIiIiIYldxjH7FFVfg888/R1JSklRm0qRJOHToEEaM\nGIHmzZtj7ty5mDJlCnbs2IHPP/8c33//PSZOnIhOnTpFuvvarrvuOtSvXx8vvPACPv74Y3zwwQeI\nj4+HaZooKCiA1+tF79698fTTT6Nly5ZS/eIYvW7dujDKeKRASkoKfD4fcnJyGKMTERERkW2O3THv\n9/uxefNmAAjcrVKWpKQkdOnSBSNHjsTOnTvx8ccf4+STT8bOnTvRqVMn/PLLL051LWxKfsbc3Fz4\n/UXPrzMMI3ASoHL8eNFz/oofiVOaku8X19FVo0aNUv/En+0SERFRlOLdOOSA4iSnI0aMUF6ULyk+\nPh4dO3bEq6++im3btmHatGlo1qwZDh48iB49emDhwoWR6LJtlmUFxeh5eXlBj9f0er0nHKOXLMMY\nnYiIqApijE4OcezCvMvlgmEYSExMRK1atcpV1+Px4JZbbsH69evRp08fHDlyBH379kVOjpwQJBq8\n+OKL6NatGxYsWICePXti0aJF2LlzJ7Zs2YIJEybgpJNOwocffojzzjsPP/74o1S/OPFrWXfiiO+X\ndgJBRERERFSW4ke2nHTSSeWud80112D16tW48847kZubi379+uHgQTkBYDT46KOP0KFDB3z++edo\n3749Zs+ejR07dmD79u2YMWMGWrZsiUmTJqF9+/bKXFG6MXrJMozRiYiIiMguxx5lYxgGTj31VPz+\n++/YtGkTTjvttHK3kZiYiIkTJ2L//v1YvHgxxowZg3vvvdepLjpiwYIFGDp0KADg7rvvxsiRI4Pe\nb9y4MXr06IHzzz8fv/32G6699lr8+eefQXcnJSUl4fDhw8rEWyWV/GIiOTm5XP0s61n9mZmZgTty\nDFdwVmuXxnc1lpBN21RkNDcUGdQtv5iFW56XJZzcqNp2K6aJGdtV9SyNzOtOZVQH7GVV18kgXzQt\neNnFJci7sqqeS6jnUmRCF4nrBADMfDmxc0FW8Pbs8sh9Uq1zaX6Fctuu/OC23dWOSWXiEqvL/Yw/\nEvQ6ySvfJZjoDU7ObCbKd8kVKvaLQjN4OyhQnJeLZUzFpmNpbE+qCwSqVRcnTPQoFrdYJg5yx10F\n8peiRk528Ov8LLleXvA0K/uIVKbwWKY0zRSmmcfkn/kXHj0qTcs/Gjw/cRsE5G1VtT2riPuGuO8A\ngLtA3sfErCEuxT7tzw/ugzvfL5VJUIxXTo1Pdsam0ohjlurzGm6X8FqxPavqCeOFum1xDJXXk7pt\nsd9yvZJtGxV53S0Sd8vwbpxKr2nTpti1axd+/fVXXHzxxeWu7/F48O677+LgwYOYMmUKXnvtNTz/\n/PNh6Kl9a9euxR133IHCwkL06tUL06ZNC3qG/EknnYRu3bqhc+fOWLx4Mfr164cNGzagQYMGgTLF\n8XqoGB34X5wethjdbSjHy7K43fJxSYx/DVfo/V2M9QHdeF9xrPQIsZAqRlfFmhpxu05sb5cyJvcE\nL1/V8SXOFxz/inWK6ukdq0T+/EJpWmFufnA7ilhIdWyUKNaBJcTfrlxF7JecGvQ6LkmO0a14Of52\neYP3m3ivHH9bCfI0vzs4X12+4pwz3x/8y31VjK6Kl/xCoK6zdanWmlsRpIuxlypG9yq2Aa+w7tz+\nPLkPBcHrxTgmx/GufPmXPYYQt4vxOAAUZh8NWUY1rUCI28WYHVDH7eL2rNrmTcU6F6n2MdW+GIqp\n2n+9ctwe6bFI5FQcrZ5/6PFKjKtLI66X8h7jVPUM014bjmCMTg5xNPnr9ddfDwAYNmyY7Tbcbjee\nffZZAMCUKVMc6ZeT3nnnHQBFJyilnZAkJyfjmWeeAQDs3bsX06ZNC3q/Zs2aAEI/N77k+2JCrlDS\n0tJK/UtNTS1XW0REREQUu4pj9Keffjrw6EU7imPfaIzRR48ejcLCoos4L730kpTYFSiK31944QUA\nQFZWFj7++OOg93Vj9OzsbGRnF31hzRidiIiIiOxy9ML8/fffj/T0dEyZMgX/+Mc/kJ+fH7qSQnEy\npo0bNzrYO2esXr0aAHD66aeXGTxfcMEFgf/XrFkT9N7pp58OANi+fXuZJ0fbtm0L/H/GGWfY6C0R\nERHFMsOyYFhmmP/Cd6cXRYcBAwbg9NNPx+LFi9G3b19kZcl3L+o47bTTkJiYiC1btpzQBf5wKI7R\nU1NTA7G2yrnnnhu4aF9ajJ6VlRVIBKvCGJ2IiKhqY4xOTnH0wnxaWho+/fRT+Hw+jB49GmeffTY+\n/fTToIRLOoqDXZ1HPFQU1U9FS4qL+9/PGMVnT7Zu3RpA0c9k165dW2oby5Ytk+oQEREREZVHQkIC\nJk6ciNTUVEydOhXNmjXD+++/r/XIlpL2798fuFM8WuP0UDG6y+UKXJgvLUYHgJ9//rnUNhijExER\nEZETHL0wDwCXXXYZZs+ejdq1a2Pjxo3o168fGjRogHvvvRdfffVVyCA+KysLDz74IIDovAOlYcOG\nAIBNmzaVeTLz66+/Bv5v1KhR0Hs9e/YM/C8+5qak4vdOPfVUnHnmmXa6S0RERLHMMoue/RvOPz6/\nskpo1aoVFi5ciJNOOgk7duzAHXfcgXr16mHw4MGYNWtWyBtp8vPzMWTIEADAKaecEnQTSjQojtEP\nHjyIv//+u9Ryv/32W+CRN2KM3rVr18DnKitGnzp1KgAgJSUFHTp0OJFuExERUSxijE4OCUtEffnl\nl2Pt2rW47777MGXKFOzfvx9vv/023n777UCZkSNH4pdffkF6ejp8Ph9ycnLwxx9/YPLkyYGfjt51\n113h6N4JufLKK/H9998jOzsbI0aMwOOPPy6V8fv9eOmllwKvO3fuHPT+GWecgQ4dOmDx4sUYOXIk\n7r77btSrVy+ozNSpUwM/yQ3ncgiVWMp2EilFRhtLTISpkcRVN5GK2JZugkedxFLhJCdO0UsG5RIS\nu7oVy1uZ/FVKuCLXk5alIsGOP1d+TFWBsK0ok/sKbXkU7Xhys6VpbjHx0JGDUhlXUoo0zUgITuzq\n8snJp4yE4GlWXIJUJi7OI02DOzjNp+VSDKdCoidlGZsMU06GBOGLT2UZf/AyNxTJdo1C+UtHS0j4\nZebIj0EoFNadmSUnbBXbAQB/VnCisIKj8jZQkCUnshKTRqmSSInbqmp7Via0c4sJk+TtWZV0WUx+\npNrH3J7gxz+YinbsJsILJ53EdLpjmFRPI2msThJXlVCJXXX6VKGJpYgc1KZNG6xevRqPPPIIPvro\nI2RmZmLMmDEYM2ZMoMy4cePw119/oV69ekhKSkJeXh42b96MKVOmYMeOHQCiN0afOHEiAOCFF14I\nOu8oqWSOKDFGT0tLQ9++fTF+/HhMnDgRjzzyiHRzzJIlSzB//nwAwG233QavV0z77QyX2xU8fglh\nnU4CRECRJNsfejxTxd9uRSik0wed+F/dB422HTou6iYg1DkuSQliFcnjdeYnLjcAMAvkuM6fG5wM\nVPUgWTGmULUTp4izvDnB8ZhbkeTTEGJrV2K1kGUAwCXE38oYXZEQNk7YEL1x8v5nCTE6XIrzWVVM\nLsYwhsY9jKqLZooYTorJTflRYIZfXntGoRC3++W43coPXneWIkb3K+JvsZyZrUjcK5Tx58gxuiqx\na2F26BhdHbcHb8+qbVW1b4hU+5hqXwxFNV65NdpxMhms3QStIifjaHn+umNo+ePpUPN3mY7fa0wU\ncWG71aVu3bqYNGkSnnzySYwYMQJTp07F0RLZuRcuXIiFCxeWWv+hhx5C3759w9U92+6++2688cYb\n2L9/P4YNG4YjR47g3nvvRf369WFZFlatWoVhw4bh22+/BQD06dMHZ511ltTOf//7X1x44YU4fPgw\nOnXqhA8++ADnnXce8vPzMXHixMAdSaeffnrgfyIiIqpiLEv60i0s86AqIzU1Fe+//z4ee+wxjBgx\nApMmTcKBAwcC7//000/46aefSq1/880347777otEV8vlxhtvxAsvvICNGzdi5MiRKCgowGOPPYYm\nTZoAAP744w88++yz+OyzzwAU5YO68sorpXaee+45zJo1C0eOHMFVV12FDz/8EB07doRpmpg1axYG\nDx4M0zSRnp6OoUOHRvQzEhERUZRgjE4OCfvXS2effTY++OAD7N27F3PmzMGjjz6K9u3bo3bt2lLZ\nlJQUXHfddfjmm2/w6quvhrtrtqSlpWHOnDmoV68eTNPESy+9hAYNGqBatWrw+Xxo06ZN4C6ayy67\nDB988IGynTZt2mDcuHGIj4/Hb7/9hvPPPx8+nw+JiYkYMGAAsrKycPLJJ2Pu3LmIj4+P5EckIiIi\nokru1FNPxdtvv42///4bCxcuxJNPPonLLrsM6enpUtnExERcffXVmDlzJsaNGxd4Rns08Xq9mDNn\nDk499VQAwOjRo3HKKacgOTkZiYmJaNasWeCO+pYtW2L69OnKdk4++WRMnz4dKSkp2LFjBzp16gSf\nzwefz4fevXvjwIEDqFWrFmbNmoVatWpF7PMRERERUeUTsYdDJiQkoGvXrujatWtg2tGjR5GZmYm8\nvDykpaXFTHDbrl07rFu3DiNHjsSMGTOwdu1aHD9+HEDRlwvnnXcebr31Vtx4441lnrjccMMNaN68\nOV566SXMnTsXhw4dgmEYaNKkCW644QY8/vjjSEmRH89BREREVYQVgedL8vmVVZrH40HHjh3RsWPH\nwLSsrCwcPHgQeXl5SElJQd26dSuwh/pOPfVU/Prrrxg1ahSmTJmCVatWISur6DELiYmJaNu2LW66\n6SYMHDiwzEfQFD+W84UXXsDnn3+OvXv3AgAaNGiAa6+9FkOHDo2ZZUJERERhwBidHFKhWZtSUlJi\n9sJzjRo18NRTT+Gpp56CZVk4duwY4uLikJiYGLpyCWeddRY++eQTAEB2djY8Hg88HsVDHImIiIiI\nIiApKQlJSfIzn2NBUlISHnroITz00EMAgOPHj8MwjHJ/npNOOgnvvfce3nvvPeTm5sIwDP6KlYiI\niCqlw4cPY+vWrcjLy0OjRo3QsGFDR9rdtGkTtm/fHrKc1+vFJZdcotVmuPpaUSr0wnxlYRiGI18w\nlPeiPhERERERlS45OfmE20hIkBPDExEREcW69evX45///CcWLFgAv/9/ialbtGiB4cOHo1evXifU\n/qhRo7QeVV6zZs2gnEcV0deKwgvzVZzL7QrOdC0krTf9iqzyQjZtlyJVgU4mcp0yqvkr29LIzq7K\nql7RVNnRRaps6WJ2clWWeVUGc7dHqKcxf3++X5pmuAvlglk5QS8tv1zPn5sf9LogK1cqE3csS56W\neCz4tU++Y82dIP8k3eUNPpE2FL9GMYQyiJPbkcoAMNzCzhKnaNvlFl47+ExeU943LDN4mVuFBXIZ\nYb1Y+fI6QGG+NEksZxXIbZtCGXF9A0BhTp48LTtXKCPXU7aVmxeyjL8geFtVbc8q4r4h7julkcZH\nt7yeTKEtnfELqFxjmNxO6OUrLlu7ZezM32VW3PO0DcuEEeafsYa7fSIqP8NtlDmmucU4pBRSvK1X\nTaKKycVzAJ3YXsXJcwKn2D0uyXGAIkbXOC6qjvnqGEaIzxTLyRRitkJFvBSniMnzj2UHl1HF2p7g\nywlhjdEBKU43VPG3R5ifKv52yTuCGLfbJcbjymmKON4sUMTfYizvUIwOyHGzKkY3hThate2oY/R8\noYyi7Xz5fFKqp9jmdeJh5T7mDb1+xf1Xd0yL5PikMzYB9mJi3Tq6fXBqfmW2YZ54G7bnXQli9G++\n+QZdu3YN/DLw7LPPhs/nw9q1a7FmzRr07t0b//73v/Hkk0+e8Ly8Xi8uvvjiUt+vXr161PQ10nhh\nnoiIiIiIiIiIiKgK2L9/P6699lrk5uYiIyMDX3zxBVq0aAEAOHjwIPr374/58+fjqaeeQtu2bXHV\nVVed0PzS0tKwcOHCmOhrpFXcLWBEREREVLbixFLh/iMiIiIiIj0xHqO/8MILOHz4MAzDwNSpUwMX\nuoGix8pMmTIFJ510EgDg0UcfDVs/dMRSX+3ghXkiIiIiIiIiIiKiSs7v92P8+PEAgE6dOqFNmzZS\nmeTkZAwZMgQAsHbtWvzyyy8R7WOxWOqrXbwwT0RERBStYvxuHCIiIiKiSieGY/SlS5cGEq1effXV\npZbr1q1b4P85c+aEpS+hxFJf7eIz5qs4t8dVZlJDJxJyFLObEErkZHIVp/qkw8mkhDptqZLeGBqJ\nWsSkUZZiXoU5qqSiwfXEpJuAnBzI5ZWHIFWCVJc3OLGT2yPXE5NPAfLndWvMT7WMVG27hKRrOstW\np4wuVXIvnTKmkPxVTOpUWj1LSFLlVyRsEuup2lZtF2Z+8PYkzquoTOi2VP0Wk0apEq3qLEvVulOl\nkBL3Tbci0ZQ47tgd0yI5fgHOHQ+cShgFONinEIn43LyPgYgizOUytJKEhm6o/G2YimOlbrLZUCJ9\n7NI5xobzuKS7DqWElprJ6sW4RpUsU4xFDEWiV1VsLcY+6lg7uG2ddlRtqcoo6wnTVOcNYj3d+FvV\nlh2qOFYqo4q1NeJv1fYsnbspEwCHjttVMbpl87zBTowOyNuzKtGrKdTTSQYLKPZFjRjdLt3Y3smx\nJxQnr+uIHDlWxeC8Y9maNWsC/6vuQC925plnIjExEdnZ2UF17Dp27Bg2bNiAnJwc1KhRA02bNoVH\nkfw7GvoaSbwwT0RERBStTH/RX7jnQUREREREemI4Rt+8eXPg/5NPPrnUcoZhoFGjRtiwYQM2bdp0\nQvPcv38/UlNTYZb4wtHn86FLly4YNmwYWrduHTV9jTRemCciIiIiIiIiIiKKQpmZmWW+n5aWZqut\nUPWK3z9y5Ih2+yqGYaB+/fpo1KgRCgoKsH79emRlZWH69OmYOXMm3nzzTdx1111R0ddI44V5IiIi\noihlmZbWz+JPdB5ERERERKQn0jF6kyZNyi5r6cfzWVlZgf8TEhLKLOvz+QAAx48f126/pHbt2mHa\ntGm48sorkZSUFJheUFCA8ePH46GHHkJmZiaGDBmCxo0b46qrrqqwvlYUPjSViIiIiIiIiIiIqJIr\n+Vz3wkI5d0RJBQVF+eC8Xq+ted1www245pprgi7KF/dh4MCBWLhwITweDyzLwiOPPFKhfa0ovGOe\niIiIKFrF8PMriYiIiIgqpQjH6Fu2bEFqaqojzSYnJwf+z87OLvNCdnZ2tlTHSW3atMHNN9+MDz/8\nEOvWrcOmTZtw2mmnRWVfw4UX5qs4w+UqM1O9W05Wbl/ZyZbDTpUNPpLKWs7h4HIo87o/X+9g4y8I\nvXxd7vyQZQxFZnWdjPU6mebtrgPDZa+eTr+dZNrYxu3+/E5nf7L8ej+nE/ut+1gNU6N9p/Z75f6k\nGCANnc/s0FhY0WMaEPlxraIY/qrxOYkoeoSK0cPJ0fhfFOHzgWg4VtqhinHMnLLvFATU8UpBVkHQ\na52YWUVne7R7/qGK/8MpnDG6nXjcSXYfTxfOuFr/nCByj9ZzqbY5h7ZDt0dv+6oqcXQ4VaUYPTU1\ntVzPkS9LgwYNAv/v2rWrzAv+u3btAgDUr1/fkXmrXHrppfjwww8BABs3bgy6MB9tfQ2HqrMVExER\nEcWa4rtxwv1HRERERER6YjhGb9asWeD/DRs2lFouMzMT+/btAwCceeaZYekLgKDH3OTk5AS9F219\nDQdemCciIiIiIiIiIiKq5C666CK4/v+pAN99912p5b7//vtAUtmLL744bP3ZvHlz4P+6desGvRdt\nfQ0HXpgnIiIiIiIiIiIiquTS09Nx0UUXAQAmTpyI3NxcZbmPPvoIAJCQkIBu3bqFpS+FhYX4+OOP\nAQA+nw9t27aN2r6GCy/MExEREUUpy/TD8of5j4+yISIiIiLSFusx+hNPPAEA2LdvHx599FHp/c8/\n/xwzZswAAAwZMgQpKSlSmY0bN2LhwoVYuHAhjh49Kr1/8OBB6dE0JeXl5WHgwIH4/fffAQCDBw+G\nz+cLS1+jGZO/VnFurwtub/R8P8MEKDInk1bpJN4Ry+gn4RESeGr029RMTqTTb51ES7qJh5yqFwvs\nJwALXU83sZZWWxrJmOyOH7YTlSnquW20xXFPLZoS9rl5HwMRRRm7xy4n2Y0hIiv0+O1knGc3gaY4\nLRpjZKfmBeglKHUqGWk0xvG6+45TCXd1kuvqxO36/Y7c/HTOEYraKn8s5+Q5Qqyq6P0nkgmBq5ou\nXbrg5ptvxieffIK33noLW7ZsQb9+/eDz+fD111/j3XffBVD0jPennnpK2cY777yDN954AwDw008/\n4fzzzw96f9asWRgyZAiuuOIKnH/++UhPT0fdunWRl5eH1atXY9y4cdi6dSsAoFWrVvj3v/8dtr5G\nM16YJyIiIopWpln0F+55EBERERGRnkoQo48ZMwY+nw+jR4/GnDlzMGfOnKD3L7zwQnz22WeoXr26\nrfZr164NwzAwc+ZMzJw5U1nG7Xbj5ptvxogRI8q80z3cfa1IvDBPREREREREREREVEV4vV6MGjUK\nd911FyZPnoxNmzYhLy8PjRo1Qrdu3XDVVVcFEq+qnH766ejYsSMAKC+Id+vWDQcPHsT333+PH374\nAbt27cKePXtgGAbq1KmDVq1aoUePHmjUqFHY+xrNeGGeiIiIKFqZJhDuZ8DzjnkiIiIiIn2VKEZv\n2bIlWrZsWe56d911F+66664yy8THx+OKK67AFVdcYbN3wez2NZrxwjwRERERRcyxY8dgmqajPzU9\ndOgQsrOzQ5bzer2oU6eOY/MlIiIiIiKyixfmiYiIiKKUZfphhflunHC3DwA7d+7Es88+i+nTp+Pg\nwYMAgNTUVPTq1QtPP/00GjdufELt33333Zg0aVLIcueccw5+/fXXE5oXEREREVVtlSVGp4rHC/NV\nnOF2BWUot5t5XGtemhnTnaCT5T3cTL8zPzuyNNaJKlu5pZi/mCFelWVdbEvVjmmq5hc8zZ8vH0TE\nMqplZCnaFtvS6XdRW2bIMqain1pti5/Fspcx3q9Rz23Y23dcinriNqC7z7u87pD1DOGZbsoyimlu\noW3VWKHap8W2xHZUZVyKtk3IbYt9V/VbxXCHXgZSHQfHxooe+5wa9wAAntCfRTVeOKXkfi+uVyqf\nH374AVdffTWOHDkCAEhKSoJhGMjMzMTYsWMxdepUzJgxw5GfuHo8njLviK9bt+4Jz4MoElxuIyxx\nue7xTK+t8I2NTn12VQwnMuTwQRn/ymXktsV+68wfkGNrdayriJt14m9TjL/1zhuktgvktuXzBr22\n/flCjK6Ih1Uxsti8ThkVnfhbpx3dzVQnlle1JdbTKaOK/91eVRztEl6r4m9h/p7QsbaqbfV5g8Y5\ngbJPwW2r9lRVvC+3oxGj24z/dUVynDuB1h1rSTU+hBJqGYXz+hVRpPDCPBEREVG0Ms3wP18yjO3v\n3r0bvXr1wpEjR1C/fn2MHTsWnTp1AgAsXrwYt956K/766y9ce+21WL16NTIyMk5ofi1atMCKFSsc\n6DkRERERUSliPEan6MFbwIiIiIgoLJ599lkcPHgQcXFxmDVrVuCiPAB06NAB8+bNQ3x8PI4ePYqn\nnnqqAntKREREREQUWbwwT0RERBSlip9fGe6/cMjJycG4ceMAAD179kTr1q2lMmeeeSauv/56AMCk\nSZOQmZkZlr4QERERETkllmN0ii68ME9EREREjlu4cCGys7MBANdcc02p5a699loAQEFBAebPnx+R\nvhEREREREVU0PmO+inN5XHBrJNgLquNQoicnk0/JbVf8d06Gv/yfT5noSSPhiurTqhJaiolOdZI/\n+QsUyV9VCWHzxXqhE0SpEq+q6okJolSJrfyFisRSQmKnfEWiSHGaKieNXvIpvXrhpJcgquw6pdXz\nCkmUxNfK+cfJ26AqQauYkEqVWEpMPgvIyX6USdiEti3F2KDI+SbtP6p9TKdPOolddRLb6qrosc/O\nuKdLmTBKtfI06CSpdZdYdy6rAper6S/6C/c8wmDVqlWB/88999xSy5V8b9WqVejbt+8Jz/vo0aPI\nz89Hamoq4uIY7lLV5VS8XdHJDe0mSrc7eqviaDFGVi1b8VilSnwqJnpV1VMmcVUcB8W4WaeeTqxd\nVE+Mv+UyBcLzj1WxturwLcffqhhdrqcT2+skiFVxKn+mziZvN/5W1RPzuirLFISenyq297iEGF0j\niayqnG5sLyYqVtWz3EIZRTvKhLDiVLdeIlu5jPx57Y5zdsY1cRmdyPz1kmOHHkV1kmUXtRX63C2m\nxHCMTtGl4q9eEhEREVGls2HDBgCAy+XCySefXGq59PR0JCQkAAD++OOPE5rnH3/8gfT0dFSvXh21\na9dGQkIC2rRpgxdffJGPySEiIiIioqjCW4iIiIiIopVlAqbenUgnNI//F+ridVpamnazhw4dAgCk\npKTA4/GUWs4wDNSoUQN///03Dh8+rN2+SlZWFrKzs1GrVi1kZ2cjOzsbK1euxMqVK/HOO+9g2rRp\nZd69T0REREQUUoRjdKq8eMc8EREREQEAmjRpgho1apT6Vx7Hjx8HgMDd8GXx+XxBdcqrWbNmeP31\n1/Hbb78hJycH+/fvR1ZWFtavX4877rgDALBz50506dIF27ZtszUPIiIiIiIiJ/GOeSIiIiJynOv/\nn01raTzf1/z/O45cLnv3jDzzzDPK6c2aNcOoUaPQsmVL3H333Th06BCGDRuGCRMm2JoPERERERGR\nU3hhvopzuYxyJ3Ot6KSEhs2T9kgT+2kpfuakk0TKpUriqplgxQ4xIZVOoldAL/mUlMRVkXyqMKdQ\nrlcYOrGUzjS7ZXQSu+qUcXKtqfYCveSvocuokj/pJH+VyiiWpVeRpNedH/xp4nxyPbdiAasSUIXk\nlSep9jtFPijHiGOu7pgqjqHROBbq9Ek1Fmq1rVgnusmmRKpxtczyNpMOOsHym7D84U38VHI5btmy\nBampqY60m5ycDADIzs4OWTYnJyeojtPuuusujB07Fj///DNmzJiB3NxcrTv5iaqiSCd6tZvY1W7b\nquSJdqgSF+okU1TXM0OWUSdtFePv0DG6qRGjA3qJXfVibWmSZvwden6qKEAnsWykc06Ku4Zu8leP\nFLc7E6MXTdMpE7ygvIoYTkwQCwCWP3iaar+wG9u7ERwQqs5VlXGe8PlUfRJrOZU8G3BunNNtR2ec\nE8dsnfGL/ifSMTpVXtF3Vk9EREREFSI1NRVpaWml/pVH3bp1AQDHjh0r8+K83+/H/v37g+qEQ5cu\nXQAUfQmwefPmsM2HiIiIiIhIB++YJyIiIopWpr/oL9zzCINmzZoF/t+8eTNatGihLLdt2zb4//+O\no5J1nFbyGfnHjh0L23yIiIiIqJKL4RidogvvmCciIiIix51//vmB/3/88cdSy5V877zzzgtbf3bu\n3Bn4v2bNmmGbDxERERERkQ5emCciIiKKVsV344T7Lwwuuugi1KlTBwDKTLb66aefAgBSUlLQsWPH\nsPSloKAA06ZNA1B0Uf7UU08Ny3yIiIiIqAqI4RidogsvzBMRERGR41wuF+6//34ARXfFT548WSoz\nZ84cfPnllwCAe+65B16vnKH50KFD2LlzJ3bu3Bl45E1JhYVy0vCS/H4/7r33XmzZsgUAMHDgQLii\nMHkyERERERFVLXzGfBVnuI1yZxs33M6czBo2T4pdDs3fSaps8DrEZelk1m2dtlRlLCEbu/gaUH9e\nMYu7qp6/IPiCipkvX2DxF8pt5wtZ5cXXAJCj6FO+Kb6W6+m07bfkaQXCNFUSe1W9cHIbhvBaLuOR\nysiF1J9Fp4w4UW9f9Qrr3KXYLlRcwgcUt0EAMFzBbRt++fOqtlVLqAe3W1FPsY8pytnh1DgbleOl\nzXqWKde0v5zK14vyHiedZJmm8rM7PY9weeCBBzBx4kSsW7cON998MzZs2IDevXvDMAzMnj0b//rX\nvwAAp512Gh577DFlG3fccUfgbvcdO3agYcOGQe+//PLLmDZtGnr06IFWrVohPT0dderUQVZWFlas\nWIGRI0dixYoVAICzzjoLTz75ZNg+L1G0EY9xOuOZ6vimM96qjsPisVo5P0XsJc3fpTcO67QlUvXb\nKaZmf8T1pBNrq+qpxnMx3vaLATKAAkU9MSbOUcxfJ462G3+LsTYgx586cbvdGF1ns9AND+QYXW5c\nGZO7xDKqz2uU+Vp3mk78r6aIIfJD11KNDZbfmdgeinBc3BcdCtmL2hb6qfxsDo1zdsa40tgd++xe\ns1Cdc8WyWI/RKXrwwjwRERERhUViYiLmzp2LHj164Ndff8XTTz+Np59+OqjMmWeeiZkzZyIlJcXW\nPDweD1atWoVVq1aVWa5r16748MMPUb16dVvzISIiIiIichIvzBMRERFFq0g8XzLM7Tdq1Ag///wz\nxo0bhxkzZmDLli2wLAsZGRno2bMnBgwYgISEhFLr16xZEw0aNAAAxMXJoeujjz6Krl27Yv78+Vi2\nbBl27dqFvXv3wuPxID09HW3btkWfPn3CmliWiIiIiKqQShCjU3TghXkiIiIiCiuPx4PbbrsNt912\nW7nrjho1KmSZ5s2bo3nz5na6RkREREREVCF4YZ6IiIgoWplmBO7G4fMriYiIiIi0MUYnh/DCPJXJ\nbmI9u4ldRdGYuDAa6SZuEcvpJqQSqZLOiElgdPqk2285iZNz9XTacupw6GS+G7u5KMXPosp7pF5O\nZb8uIiaRCt2Oqp4yeZyilljOUCUztrmgxH3DUPTJrWhb7JNbM1ldVaIa13USaOscV3QTJIUz8TYR\nkRNMv1VmnKSTVFVFlXzPbkJYuR3V+G4v+BE/n92Ehzrz1z0GyAlaQ8fDquWtOubJSVxDt63qg6pP\nUhnN+EyO/ezFhzrTVGtAJ2mrXp9049Hy029HLKja53T6KdcTd1+760BveauSyMr13EI9VRytTuxa\n/thedx9zCWcTlkuxPwll1JFn6PFCbKc0kRzndDgZDzuV6DXUZwtn8m6iSOGFeSIiIqIoZVmm9hcO\nJzIPIiIiIiLSwxidnMLbkYmIiIiIiIiIiIiIIogX5omIiIiIiIiIiIiIIoiPsiEiIiKKVqY/Aoml\nwtw+EREREVFlwhidHMI75omIiIiIiIiIiIiIIoh3zFMQwx1d39UoM6pHuI+qPujQSQQiZj7XzSqv\nk7HdbiZ0cX5OZVQ/EW7DEF6rSsn91KnnFTanfMWyVS4CQ2xMWSjk/J0kti9+fkD+Nla9TOSJ8rIM\n/WFUZXTqhZPuPuZ2u221ZQjVVPuqieD5uZTfkct9Esdn1RhjuILL6I5fkRxX7Y6p4aQ69onjc4Xh\n3ThEpGBqxmcujeDDbqxnCG07OW76Izgs6X5+cZmrPq8pHPeVcbxGLKK7fnXajlWqTVf8eOq4UlwG\nOmXCS3sFQeQAAIW4SURBVOecRC+2dqpHFU+5rXrK345qHzP88oIS429x/AIAl1DGVMToehGz3lgY\nyXHOrnCOKXbHuajBGJ0cEl1XYYmIiIiIiIiIiIiIKjneMU9EREQUpSy/H1aYb6kKd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qeWnVU8xfJyZ3eeTTe7GeMkZX9cnjCV3GZa9tMSbXrSfN3+Z2qXNO4CS7d72aGsdn8RiuOqar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\nRU5ErkJggg==\n"
          }
        }
      ],
      "source": [
        "# new projection distance\n",
        "r_proj_new = 20 * wavelength\n",
        "\n",
        "# re-project our far field data above to this new distance\n",
        "reprojected_field_data = projected_field_data.renormalize_fields(r_proj_new)\n",
        "\n",
        "# now all the fields stored in 'projected_field_data' correspond to this new distance\n",
        "# compare to the analytical fields at this new distance\n",
        "analytic_field_data_new = analytic_fields_aperture(monitor_far, sim_size, height, width, r_proj_new)\n",
        "\n",
        "# plot Etheta\n",
        "Etheta_analytic = analytic_field_data_new.Etheta.isel(f=0, r=0)\n",
        "Etheta_proj = reprojected_field_data.Etheta.isel(f=0, r=0)\n",
        "make_field_plot(phi_proj, theta_proj, Etheta_analytic, Etheta_proj)\n",
        "\n",
        "# print the normalized RMSE\n",
        "print(\n",
        "    f\"Normalized root mean squared error: {rmse(Etheta_analytic.values, Etheta_proj.values) * 100:.2f} %\"\n",
        ")\n",
        "\n",
        "plt.show();"
      ],
      "id": "7b18c610"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### More accurate field projections <a name=\"exact\"></a>\n",
        "\n",
        "In the field projections used above, the far field approximation is\n",
        "used: it is assumed that the fields are measured at a distance much\n",
        "greater than the size of our simulation in the transverse direction.\n",
        "Accordingly, geometric approximations are invoked, and any quantity\n",
        "whose magnitude drops off as 1/r^2 or faster is ignored. The advantages\n",
        "of these approximations are: \\* the projections are computed relatively\n",
        "fast \\* the projections are cast in a simple mathematical form which\n",
        "allows re-projecting the fields to different distance without the need\n",
        "to re-run a simulation or to re-run the\n",
        "[FieldProjector](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjector.html).\n",
        "\n",
        "However, in some cases we may want to project to intermediate distances\n",
        "where the far field approximation is no longer valid. `Tidy3D`’s field\n",
        "projection functionality allows doing this very easily: simply flip a\n",
        "switch when defining the\n",
        "[FieldProjectionAngleMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjectionAngleMonitor.html)!\n",
        "The resulting computations will be a bit slower, but the results will be\n",
        "significantly more accurate.\n",
        "\n",
        "**Note**: when the far field approximations are turned off, we can no\n",
        "longer simply use `renormalize_fields` to re-project the fields at a new\n",
        "distance. Instead, we would need to re-run the\n",
        "[FieldProjector](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjector.html).\n",
        "\n",
        "Below, we will demonstrate this feature by looking at fields only a few\n",
        "wavelengths away from the aperture. Note that our analytical results\n",
        "also made far field approximations, so here we’ll make our simulation\n",
        "domain a bit larger and measure the actual fields on a monitor, so that\n",
        "we can compare these actual fields to those computed by the\n",
        "[FieldProjector](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjector.html).\n",
        "\n",
        "Also, this time we’ll use the\n",
        "[FieldProjectionCartesianMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjectionCartesianMonitor.html),\n",
        "which is the counterpart to the\n",
        "[FieldProjectionAngleMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjectionAngleMonitor.html)\n",
        "where the observation grid is defined in Cartesian coordinates, not\n",
        "angles."
      ],
      "id": "abaa538d-6b49-4ac1-bacc-e9bca27846ad"
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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5j+U5lvXDDz+ErV65y/OX46CZvLw8r9s6hq721920adPE5s2bxcGD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HFYunQpMjIyIt0UIiIiorhQWVkJnU4X6WYQkQctWrTAunXr0Ldv30g3hYiIiGSkDkclixYtQmVl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\n9O/fP+IRnvPnz1enT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          }
        }
      ],
      "source": [
        "# project fields only a few wavelengths away from the aperture\n",
        "r_proj_intermediate = 4 * wavelength\n",
        "\n",
        "# create a field monitor to measure these fields at the intermediate projection distance,\n",
        "# so that we have something to which we can compare the 'FieldProjector' results\n",
        "monitor_intermediate = td.FieldMonitor(\n",
        "    center=[0, offset_mon + r_proj_intermediate, 0],\n",
        "    size=[td.inf, 0, td.inf],\n",
        "    freqs=[f0],\n",
        "    name=\"inter_field\",\n",
        ")\n",
        "\n",
        "# make a larger simulation along y to accommodate the plane at which the intermediate fields need to be measured\n",
        "shift = 1.2 * r_proj_intermediate\n",
        "sim_size3 = [sim_size[0], sim_size[1] + shift, sim_size[2]]\n",
        "# move the sim center\n",
        "sim_center = [0, (sim_size[1] + shift) / 2 - sim_size[1] / 2, 0]\n",
        "sim3 = td.Simulation(\n",
        "    size=sim_size3,\n",
        "    center=sim_center,\n",
        "    grid_spec=td.GridSpec.uniform(dl=wavelength / min_cells_per_wvl),\n",
        "    structures=geometry,\n",
        "    sources=[source],\n",
        "    monitors=[\n",
        "        monitor_near,\n",
        "        monitor_intermediate,\n",
        "    ],  # provide both near field and intermediate field monitors\n",
        "    run_time=run_time,\n",
        "    boundary_spec=boundary_spec,\n",
        ")\n",
        "\n",
        "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(9, 3))\n",
        "sim3.plot(x=0, ax=ax1)\n",
        "sim3.plot(y=0, ax=ax2)\n",
        "plt.show();"
      ],
      "id": "7c384137"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Run the new simulation."
      ],
      "id": "addd9868-66b7-4ede-995d-6bb14e17bc6d"
    },
    {
      "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\">04:17:55 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'aperture_3'</span> with resource_id                         \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-3792f96a-8c6e-485c-b018-dac162e72340'</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-3792f96a-8c6e-485c-b018-dac162e72340\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-3792f96a-8c6</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-3792f96a-8c6e-485c-b018-dac162e72340\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">e-485c-b018-dac162e72340'</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\":\"970d90b25e9349648195fc1636070ca2\",\"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\">04:17:56 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.098</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\">04:17:57 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"802a665411ef4a21887ef900f0786f76\",\"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\">04:17:58 UTC </span>Loading results from data/aperture_3.hdf5                          \n",
              "</pre>"
            ]
          }
        }
      ],
      "source": [
        "sim_data3 = web.run(sim3, task_name=\"aperture_3\", path=\"data/aperture_3.hdf5\", verbose=True)"
      ],
      "id": "7292691e"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Now let’s create the\n",
        "[FieldProjectionCartesianMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjectionCartesianMonitor.html),\n",
        "this time turning off the far field approximations, and then run the\n",
        "[FieldProjector](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjector.html)\n",
        "again.\n",
        "\n",
        "The\n",
        "[FieldProjectionCartesianMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjectionCartesianMonitor.html)’s\n",
        "xy observation grid is defined in a local coordinate system whose z axis\n",
        "points in the direction along which we want to project fields, in this\n",
        "case the +y axis. The mapping between local and global coordinates is as\n",
        "follows: \\* `proj_axis=0`: local x = global y, local y = global z \\*\n",
        "`proj_axis=1`: local x = global x, local y = global z \\* `proj_axis=2`:\n",
        "local x = global x, local y = global y"
      ],
      "id": "71630a1b-b5dd-462e-81d8-ea6a4afafbef"
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"2ba0d769c6a14936a0b8e254f66e5323\",\"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>"
            ]
          }
        }
      ],
      "source": [
        "# make the projection monitor which projects fields without approximations\n",
        "xs = np.linspace(-sim_size[0] / 2, sim_size[0] / 2, 100)\n",
        "ys = np.linspace(-sim_size[1] / 2, sim_size[1] / 2, 100)\n",
        "monitor_intermediate_proj = td.FieldProjectionCartesianMonitor(\n",
        "    center=[\n",
        "        0,\n",
        "        offset_mon,\n",
        "        0,\n",
        "    ],  # the monitor's center defined the local origin - the projection distance\n",
        "    # and angles will all be measured with respect to this local origin\n",
        "    size=[td.inf, 0, td.inf],\n",
        "    freqs=[f0],\n",
        "    name=\"inter_field_proj\",\n",
        "    proj_axis=1,  # because we're projecting along the +y axis\n",
        "    x=list(xs),  # local x coordinates - corresponds to global x in this case\n",
        "    y=list(ys),  # local y coordinates - corresponds to global z in this case\n",
        "    proj_distance=r_proj_intermediate,\n",
        "    far_field_approx=False,  # turn off the far-field approximation (is 'True' by default)\n",
        ")\n",
        "\n",
        "# execute the projector, with the projection field monitor as input, to do the projection\n",
        "# let's also time this, for later use\n",
        "import time\n",
        "\n",
        "t0 = time.perf_counter()\n",
        "projected_field_data_noapprox = get_proj_fields(sim_data3, monitor_near, monitor_intermediate_proj)\n",
        "t1 = time.perf_counter()\n",
        "proj_time_new = t1 - t0"
      ],
      "id": "4cc8d89c"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Now let’s compare the following three results: \\* Directly-measured\n",
        "fields at the projection distance \\* Projected fields with\n",
        "approximations turned off \\* Projected fields with approximations turned\n",
        "on (just to compare the accuracy)"
      ],
      "id": "db82f6f0-62af-41b6-b039-a8071efdc8fb"
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"6b9046d0b89b476bade8d4ba2f9cbe32\",\"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>"
            ]
          }
        }
      ],
      "source": [
        "# Compute projected fields *with* far field approximations, to facilitate an accuracy comparison\n",
        "monitor_intermediate_proj_approx = td.FieldProjectionCartesianMonitor(\n",
        "    center=[\n",
        "        0,\n",
        "        offset_mon,\n",
        "        0,\n",
        "    ],  # the monitor's center defined the local origin - the projection distance\n",
        "    # and angles will all be measured with respect to this local origin\n",
        "    size=[td.inf, 0, td.inf],\n",
        "    freqs=[f0],\n",
        "    name=\"inter_field_proj_approx\",\n",
        "    proj_axis=1,  # because we're projecting along the +y axis\n",
        "    x=list(xs),  # local x coordinates - corresponds to global x in this case\n",
        "    y=list(ys),  # local y coordinates - corresponds to global z in this case\n",
        "    proj_distance=r_proj_intermediate,\n",
        "    far_field_approx=True,  # turn on the far-field approximation\n",
        ")\n",
        "\n",
        "# execute the projector, with the projection field monitor as input, to do the projection\n",
        "# let's also time this, for later use\n",
        "import time\n",
        "\n",
        "t0 = time.perf_counter()\n",
        "projected_field_data_approx = get_proj_fields(\n",
        "    sim_data3, monitor_near, monitor_intermediate_proj_approx\n",
        ")\n",
        "t1 = time.perf_counter()\n",
        "proj_time_new_approx = t1 - t0"
      ],
      "id": "13ab4aa1"
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Client-side field projection *with approximations on* took 0.08 s\n",
            "Client-side field projection *with approximations off* took 9.69 s"
          ]
        }
      ],
      "source": [
        "# let's see how long this took compared to the previous case when the approximations were turned on\n",
        "print(f\"Client-side field projection *with approximations on* took {proj_time_new_approx:.2f} s\")\n",
        "print(f\"Client-side field projection *with approximations off* took {proj_time_new:.2f} s\")"
      ],
      "id": "eacb5da1"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "As expected, when the approximations are turned off, the projections\n",
        "take longer. Now let’s see if it was worth it!"
      ],
      "id": "a11d2727-1978-4a81-ac65-3b98fc427803"
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Helper function to plot fields\n",
        "def make_cart_plot(phi, theta, vals1, vals2, vals3):\n",
        "    n_plots = 3\n",
        "    fig, ax = plt.subplots(1, n_plots, tight_layout=True, figsize=(9, 3))\n",
        "    im1 = ax[0].pcolormesh(ys, xs, np.real(vals1), cmap=\"RdBu\", shading=\"auto\")\n",
        "    im2 = ax[1].pcolormesh(ys, xs, np.real(vals2), cmap=\"RdBu\", shading=\"auto\")\n",
        "    im3 = ax[2].pcolormesh(ys, xs, np.real(vals3), cmap=\"RdBu\", shading=\"auto\")\n",
        "    fig.colorbar(im1, ax=ax[0])\n",
        "    fig.colorbar(im2, ax=ax[1])\n",
        "    fig.colorbar(im3, ax=ax[2])\n",
        "    ax[0].set_title(\"Ex\")\n",
        "    ax[1].set_title(\"Ey\")\n",
        "    ax[2].set_title(\"Ez\")\n",
        "    for _ax in ax:\n",
        "        _ax.set_xlabel(\"$y$ (micron)\")\n",
        "        _ax.set_ylabel(\"$x$ (micron)\")"
      ],
      "id": "a9c2878f"
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "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\">04:18:09 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",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Normalized RMSE for |E|, no far field approximation: 0.29 %\n",
            "Normalized RMSE for |E|, with far field approximation: 22.72 %"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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l037729/i5z//eavb3H///Vi6dCkAYLvttsNBBx1U8PMkIiIiKhTHcfCPf/wD\nyWQShmHgL3/5C2KxWNbtli1bhnvvvRcAsNFGG+GMM84o9KkSERERFdyrr76Kd999N/R25557Lrp1\n61aAMyKi9sBFJCLyVVlZiRUrVuC2224DADzzzDN4++23EY1Gfcc/9dRTOOWUU9Lbfvjhh+11qkRE\nREQFYZom3nrrLTz//PMAgKFDh+LII4/Mut3dd9+NiRMnAgDOP//8gp4jERERUXt54YUXcOutt4be\nbvz48VxEItqAmR19AkRUvK6//noMHz4cADBv3jxcdNFFvuO+//57jB8/Pv3vf//73xg8eHC7nCMR\nERFRIZ1++unp9j333JN1vOu6uP/++9P//t3vfleQ8yIiIiIiImoPvBOJiLRKSkrw6KOPYocddkBd\nXR1uvPFG7LPPPth3333TY2zbxnHHHYc1a9YAAE488UT89re/7ahTJiIiIsqrAw44AAMGDMD333+P\n6dOn47vvvsNmm22mHT99+nR88803AJrqUw4dOrSdzpSIiIiosPbdd190794967hPP/0UzzzzDABg\n7733Rp8+fQp8ZkRUSFxEIurEZs+eHbhg4vDhw3HIIYdk9A8bNgy33HILTjvtNLiuixNOOAELFizA\nxhtvDAC4+uqrMWvWLADA5ptvjttvvz1/XwARERFRHjz00EOYPXt2oLGHH344ttlmm/S/LcvC+PHj\nMXHiRDiOg/vvvz8dVecnVQsJAE477bTcT5qIiIgoz2zbDnydCADOO+88lJWVpf994IEH4sADD2x1\nm6VLl2LkyJEAgG222QZPPvkkLMvK7YSJqCgYruu6HX0SRJQ/48aNw5QpU0Jvd+KJJ2Ly5Mnax488\n8kg88cQTAJr+IveFF17AW2+9hTFjxsC2bUSjUcyZMwc77rhjrqdORERElDd9+/bFihUrQm/30EMP\nYdy4cUrf0qVLMXDgQNi2jYEDB2LRokUwzcxk8FWrVmHTTTdFY2MjevXqhR9++AElJSU5fw1ERERE\nbfXhhx9iu+22y2nblStXYqONNgo8fv369Rg1ahQWLFiAfv364Z133sGAAQNyOjYRFQ/WRCKiQO6+\n++50dMtLL72Eyy+/HMcddxxs2wYAXHPNNVxAIiIiok5p0003xUEHHQQA+PbbbzF9+nTfcQ8//DAa\nGxsBACeccAIXkIiIiKjLSCaTOOKII7BgwQJUVFTghRde4AISUSfBODuiTmzUqFEYPXp0oLHbb799\nq49XVVXhkUcewejRo2HbNq688sr0Y3vvvTfOP//8Np0rERERUaGMGzcOAwcODDR222239e0//fTT\n8dxzzwEA7rnnHqVGZAqj7IiIiKiYWZaFv/71r4HHl5eXBx57xhln4JVXXkEkEsFjjz2GESNG5HCG\nRFSMuIhE1ImNHj06VNZtNrvtthsuu+wypQ5Anz598OCDD8IwjLwdh4iIiCifTj31VIwZM6ZN+9h/\n//0xcOBAfPvtt3j22Wfx008/KfEuc+fOxccffwyg6Q95ttxyyzYdj4iIiCjfIpFIXq8TpVx99dXp\nP6a54447sP/+++f9GETUcRhnR0ShDBkyRPn3mDFjsMkmm3TQ2RARERG1D9M0MX78eABAPB7HQw89\npDx+zz33pNu8C4mIiIi6iilTpuDSSy8FAFx00UX43e9+18FnRET5xkUkIgps0aJFOPvss5W+xx9/\nHE888UQHnRERERFR+zn11FMRiTSFOcjoutraWjz66KMAmiKAjzjiiA45PyIiIqL2NGPGDJxyyikA\ngGOPPbYgdzkRUcfjIhIRBZJMJnHsscdi3bp1AIBdd901/djvfvc7fP/99x11akRERETtYpNNNsHB\nBx8MAPj000/xzjvvAAAee+wxrF+/HgBw/PHHo6ysrMPOkYiIiKg9fPbZZ/jVr36FeDyOPfbYA/ff\nfz9LHRB1UlxEIqJAJk6ciHfffRcAsM022+C1115L/7VJdXU1jjvuONi23ZGnSERERFRwp59+erqd\nuhtJ3pXEKDsiIiLq7JYvX44DDzwQ1dXVGDZsGJ555hnEYrGOPi0iKhAuIhFRVjNmzMB1110HACgt\nLcXUqVNRWlqKf/7znxg6dCgAYNasWbjmmms68jSJiIiICm7ffffFoEGDAACPPvoo5s2bh7feegsA\nsMsuu2CbbbbpwLMjIiIiKqza2locfPDB+Pbbb/Gzn/0ML774Inr27NnRp0VEBcRFJCJq1erVq3H8\n8cfDcRwAwA033JC+ONKtWzdMnTo1/dcmV155JebMmdNh50pERERUaKZppgtG19TU4Oijj04/xkLS\nRERE1JnZto1jjjkG8+bNQ3l5OaZNm4bBgwd39GkRUYEZruu6HX0SRJQ/48aNw5QpUwAAo0ePxt57\n7x1424MPPhgjRoxQ+n7961/j6aefBgAccsgheO655zK2u+GGG/CXv/wFADBo0CB8+OGH6NGjR45f\nAREREVHb9e3bFytWrAAAnHLKKaEucPzhD39odS6zfPlyDBgwAMlkMt3Xo0cP/PDDDygvL8/9pImI\niIjy7MMPP8R2220HAIhEIpg4cWLgbTfaaCOcccYZ6X+fffbZuOOOOwAAY8eOxZ577hloP+eeey66\ndesW4qyJqJhwEYmok5GLSGHdfffdGD9+fPrf//73v3HmmWcCaCokvWDBAmy00UYZ27mui/322w+v\nvvoqAOCYY47B1KlTczoHIiIionyQi0hhLV68OB1Zp/Ob3/wGTz31VPrfZ511Fv71r3/ldDwiIiKi\nQpGLSGFtscUWWLhwYfrf3bt3R21tbej9LFu2DH379s3pHIio4zHOjoh8ff755/jzn/8MADAMAw8+\n+KDvApJ8vE+fPgCa6gNMnjy5vU6ViIiIqN2dfvrpyr9PO+20DjoTIiIiIiKiwol09AkQUX4dfvjh\nWf9yVkf+ZcpHH32UXkQaOnRo1li8vn374sknn8R///tfAMCKFSvgOA5Mk2vVRERE1P7OPfdcrF+/\nPqdtq6qqso4ZMGBAur3TTjth+PDhOR2LiIiIqJD69u2Liy++OKdtU38snDJhwgQ0NjaG3k/37t1z\nOj4RFQfG2REREREREYX0l7/8BTfccAOAzEhgIiIiIiKizoKLSERERERERCGsW7cOgwYNwpo1a9Ct\nWzcsW7YMFRUVHX1aREREREREececKSIiIiIiohAuvPBCrFmzBgBw1FFHcQGJiIiIiIg6Ld6JRERE\nRERE1IqZM2di1qxZqKurw6xZszB79mwAgGEYWLBgAbbZZpsOPkMiIiIiIqLCiHT0CRARERERERWz\nV199Fddcc01G//jx47mAREREREREnRrj7IiIiIiIiELaf//9ceutt3b0aRARERERERUU70QiIiIi\nIiJqxZgxYwA0xdf16NEDu+yyC3bbbbeOPSkiIiIiIqJ2wJpIRERERERERERERERElIFxdkRERERE\nRERERERERJSBi0hERERERERERERERESUgYtIRERERERERERERERElIGLSERERERERERERERERJSB\ni0hERERERERERERERESUgYtIRERERERERERERERElCHS0SdA+ZFMJvH9998DACorK2GaXB8kovbn\nOA7WrVsHABgwYAAikdw/ZhzHwdq1a/NyXj169OD7IlEXwTkRERWDfM2J8jkfAjgnIuoqOB8iomLB\nOVHnwEWkTuL777/HkCFDOvo0iIjSFi1ahMGDB+e8/dq1a9GrV6+8nMvq1avRs2fPvOyLiIob50RE\nVGzaMifK53wI4JyIqKvgfIiIihHnRBsuLrcRERERERERERERERFRBt6J1ElUVlam21/NfhFVlZVw\nIyXpPqUdlf2l6bZtRgEAjUkn3Rd3Xa+dFG3bazeKdoPYtj5hp9t1ol2f9NpxMb4u4bUbbSdjHwl5\nXqKdsMV2ol90w3a8c3TE16RjGkZGn2Uaou31l0S8f0TFAzHZL9plUcvbVoyX+5HbljaPkduVRb3H\nyyNef0ScY0nEa8csrx0V7Zjh3x91k+m2YcfTbSQamvqSXp+RbEi3zYTXRrIx3XQa6tJtt6Hevz/u\nbesmvG3dxnoxxuu3G+PNY71ztUXb0bUd74Xh2v6vBVe+eDQM8b0zmp87eRusGY34ti3RNmR/Sczr\nj3k/o2ZpN99+o7Tcf0xzv1FS5n09UdEW7wVO1Pv5h2g74n0hKf7WQP7cx8XPVEL0/7S6Gnvt/EsA\n6vtSW0W3PhqwYtkHSnYciU//k7dzIKINg3zv+fLt11DVoxJwxOea0zy3cGzR5z0Ope2NcZOaftGG\no/n80PX77MMwrVZGNtPFLoh+ZT+atpGaN8jHDdO37Wr6IeYSboD9aPeZ2lZ5XMzHzOz7U7ZF9vNV\nzt1nP/L4cvoo55JyJiHHuK6ce8J3vNovxvvs09EdP8B5yW1t7baZx2y5H+9cvF45ZXLEaNv1n3tr\nf0QCzM9T+7R85ukt+c3lAfVlJMfIfUbFfFqOEd3p3wXkdvL3A8swsG5tNXbfIb9zopzmQwDnRERd\nkHzfeXr2fFRU9tCOtTXvwUHem+X7ut94W/N5qIzRXK/RffYp45XPHv/xyeYHlH3IsY5/v/wsj4sP\nPFt3Lo5/v19b9zXL/qSyHXwFudZl6574gI8HJa+ZhR2T+rzVPS4/YyPKtTn/z2xLM0bXNs3M48vP\n+Ji8/qPMH8TXYGr6xfiIpTlfOR6Z56Kbj+i+ZkmZv+jmR3L/WW430c2xWpufrV+3Fr8atR0Azok2\nZFxE6iTkxeuqykr0rKpUFojURSTRLy4upxaR5EKQvFDcqFlEahCfZjGxEBQRC0CWpi0XfQw5pnmf\nRtx/wcnStA1lEUnzoR1gIuT35qf7sNEt/ujaZTHvAkupsogkFpfkIlJzu1wsIpXLRSTRHzXl/vwX\nkZS26d+vLCKJxSBvEalRPC4WPOLiDVwuIomv2RVtJyouzsQt/7Yyxvv67ObnSy4Q2fGEt2/dIpIt\nF5H8Z2LhF5Ga2qbo0y4ixaL+/aVyEcn7GTXLyn37jTJv4UhZRGruN0q87dyYXEQSi0Xi519ZRBL9\nchFJLhjHA7TzmS1rRMtgiPexINxkgAuxRNTpKHOiHpXoWdWjxSJSc9sOu4iU8O+3gywi2f79qX2E\nXkTSjJGLSFaQRSQz8/G2LCJZEc2YXBeR5OMhF5ECnG+28WEXkRzNhadAi0hyPGR/5lj9QlD+F5Hk\nxbmsi0iu/3xbN15qr0UkeRFKu4ikvcCTuWDU2iKScj55mhPlMh8COCci6ork+05FZQ9U9qjSjm3L\nIpLuc8Bv32EXkXSLQmHHJ3wXkTSLP5p9ROwA15pyXETStZOafinIta4NYRHJyrqIJBZiQi4QhWnr\nHpeLSNrFH80ClBlojoGMfu0CWYEXkawsU5ZcFpGU7Tkn2mBxEakTcmLd4MS6q3ccRcUFZfFD1ig+\n8BubF2wa5F1GmoUjeWfR+nhS9Du+Y3R3JdU0etvWiwWjVLtOLiKJD+24cleSN6YtH75+b7jyw0ku\nBFniTU9ZLBLvtuVisUSOUc5djOmmmaykBPrLg5jXlpMfObFzA3yw6xhu8+KevBhni4ttrligkXcW\nBWk31HrtRq/frvfuVrIbvDugkg1Ni1SOeP0lxePKwlHc/04kRyw6uZoLf7oFJWURqfn1IC/Yycct\nzYKSGfPaEbGIFCn1fkat0nVef7m3uCMXkRyxiGSmFpHknUrdvL/0MEu7e/sQd5E5STFe3H0WFe8d\nllhoipjeC8wyvOeoNJL766s1hmkGu7AqsUAiEeWT5j1Ivuvl+iu49v1N8z6mXSBStvVZLGo5PrVw\nIhdTTLkQ5H8nkH6BRrOgo9un3yJOWxaLpLALRyHIuZecs8kpliNeGabmlaG8dsQ+DWXRqekfyrfC\nlccXY5XFInkceY7Zt1UXjsTcsvnjXjkX+TWLfZiO/3Mk/g4q4IVFeazgcwzdBRDdolCYfXeknOZD\nAOdERF1cfcJW/si3Jf0ikmZ8kLtffP/wINziT5DFHd1iUMJncUUePx7gD5CDjJHtRt14n+dAv7/s\nx0wGWVAKMKa9BFkYynY9Tr/4YwYYo/uDkMw/Dg+yD/XaYMgxujuffcYEWawKu7ikGy9lW5jSXVJs\nbRGpvpX3n1xxTtT++MwRERERERERERERERFRBt6JRERERc8wrRzuROJtykRERNR55DQfAjgnIiIi\nok6Fc6L2x0WkTsgtKYdb0k2pd5QwvG+1jKhrEO3G5rwI2Vcv4ulqRCTYehEzV6PE2YmYOxFVV9Pg\n35ZxdfL2xvrmfdZpaiLJdlK05e3LboD8XsnwufXS0tyCqqt3JCPs4rb3nJeJukVBbjGWP5rpPFRx\nevK214Tpvz8ZW6fN39ccXeE6mW2lT2aniHi4hGiLOhJuY73XlnF2mgi7ZK3Xn4qwa2o3Ra6pEXde\n2xZjZZydLWLuZFSdHfe/vdYNcbu3IW8Tlpm54nVhaeLsLBFhJ6PtLCXmzmtHu3k/35FuXsyc1a2i\n6VxExJ3b4D2fZnmFd74y5q5EfI9EnJ2b9NqG7UXblYr3F/k1lUUKc4OrYVlqfFMQLicHRBSMjDUz\nlDo8XjNIbJ02xCHM+1fYeDrdtmFqBYnzCx1V15baQ37RdWGPI+liNMLG32XZtZz6BIm2gyZCzlL2\n6T3gF3PnF3GXeV6aSDwlqk7Tr9RTav181Ugh/+Nbpuvbr0TbiePoamro4u9ypYuw09VKUl7GRZB4\nl9N8COCciKiLq0vYSm3qlmzN26suik47xudzpS2RdHJ8IkDMW7b4Od3j2hg6uW9NTaSw5RVS5xAk\nHk9eiwhyrUs3Xh3j25113zp+19EyxuimrWKyZPhkpMl968aGjZ/LFpEXE7XKdTWRgtRLz0f8nXxc\n1j8PW4epLVF4fueqr4nk2w1AvVacL5wTtT8uIhERUdEzjfB/ZeIanBwQERFR55HLfAjgnIiIiIg6\nF86J2h9rIhEREREREREREREREVEG3olERERFjzWRiIiIqKtj/j8RERER50QdgYtInZAT6w6npAKN\nIuu0UdQ2qpc1kUSua6pW0lpZvyhAHSRZ+2htnVdXRdY+UusjeWOUmkii3djcTorcTDvpnwFri/xa\nXf0aNaPeP6jT8MlYtWTuacR7PK70e21d3aa4qH2jyxLWZrk2N6MiYLRRfN9kf8L2zkVmyDuirWbc\nhgx3T20rgnQNR9QYkrWPRC0dWe9IVx/JEfWR1DpHXm2jhKyP1NyWj2vrI4nXli1+FhzZL9pK3rAm\nINoR3wNZ/yjFEN8XS9TEMkW/rJUULZX1kaLpdqRM1kfy6iZFy706SNFust1U/yha6dUvshpqvfOu\n99qm6DfLRX2kiqp0W/k+ippXjvi+R6PescqihbnB1TDNHBaReLMtUVfnGiZcw1TqHKVq4hiGDIUP\nUG9HUx9Jvte4TvD3KW1dI2XfOdY4AtQCLmaW8XJ/ZiTz8Zb7C1PjqLW24PrWRMpe40gn19pHQehO\ny9TMq+Q8VJcX78pcemXb5sdlvQjXfyfaGpiBaiKJWpryWGJ8ag5raWomhT+O1x+2hpJ3ThldrfKZ\nsgHQ10GS31NZriE1RvmxgPp4IWoo5TQfAjgnIuriGpMOoklHeU+VgtRE0tUq0o23fWoiJZzMx4Hc\naxy1NsavzpG+rpG8juNf40hXN0l3fHltyrYzr1kp1xzEZ5nf2JZtSalpGGR8iJrPuvpIQeogSaZP\nvSPA/xpcmOt1gHrNTp2SBhnvVxPJv36Rvt6RJdqaMZp6StlqKIWpn5TRFs+jrKkepIaSlJq36mop\n+Y1tyTQM5ecnXzgnan9cRCIioqLXNEEI+WHPyQERERF1IjnNhwDOiYiIiKhT4Zyo/fGZIyIiIiIi\nIiIiIiIiogy8E6kTarRdNNiuEltXL24dbBD9tSLCa21z5JyMnlvXKOPs/GPrZFuNtvNisNaLaLs6\n0ZZxdUkRM5ZsPi95K68SW+f63/rraG7fNTS3z6q3uHr9qdtzZVSdvO01ImLIIiK+y9XcYh2E9lbV\n5uMmxD3jtiUjTbx92Er8iH8siBToFN3M204N2ad8A2zR9u+XcXYQ7TARdnKMfNwWUYkJ+TqrF23R\nb2vi7OT30RHPu6vJTElF3skIO0O8XmSEnXLLtHgdyXZERNtFyry2jLyLdvOi7SLdytLtWEVTtFy0\n1osKjFV6z1G0wouwc0WcnRI5KKIFZbSdIb6PpowxtL22Kd4n8iqHvFuXWbdEZJjef7IPUP8KTXxm\nKXFuMr5Vft5pItGMMG872WLdWo4JE0/XStt3vHi/bEs8nfZcJE0snu8+lO3y87dvbogIFkMT46Lf\nQBfvES72RYl5a95UN2fTRdjp9qfEz2m21cbSNc9h5BxXH1vXhuMEiL9LkTF4bSFj65QfNZ8IOzne\nVMaKqBeEDo0OJsf8f86JiLq2hqQNS1x7AdRIOn3MXfY4O78IO8D7rNDF0AWJhAsTVQeocXXqtk5G\nX1IbZ6eJ0BP9Mtre0Vw7UPrlts3PkS56To2zg7ddgKg65TqGJuYu23ZtobvuphujRMn6bGtoYtjk\nlFAXT6c7jimu8SkRbc0Trgalz7+MhS5aTrYj2vg5//F+kXfZ4u6C9gdqa6Lt/OLsdPNav+1SGpI2\n8o5zonbHRSQiIip6uRRNzCkfl4iIiKhI5VpEmnMiIiIi6kw4J2p/XEQiIqKix0UkIiIi6up4wYSI\niIiIc6KOwEWkTqg26SKacJUIO9lWIudEtFcqzq5GPL6m3j+2rlrG2dXHfftlbF1c7DPRKCPs/Nt2\nc+Se7HM1txJLboDYEcPQ3RIrbr1svpVU3uoqY+ts5fbliGiHuw1Y3m5aJ+LUZH/qluyEiNpJON7j\nCXkuroiU0ZyK/zMXkE+0nexzbRlbFxdtGWHn9Tui3xExaDLazknIKLrMmDsZYRevFZF4IsIuXiti\n88TzrEbbidvW5etOE2cnb1X3Y7a8fzfVL2Lr5BgZYRck2i7WLS7a3vOSbI6xi1Z28/rE8xkTz2FM\n9EcS4vsl4uzk99EUY8zuVem2I14DZmNh4uwM04JhhVxEsjk5IOryDAMwDCUizWhuK7F1hia2zpFR\nWnkqJeoXAZHveLoWx1G+Vr+IujbsO2ycnS5OLmxyXM7EcUKmzGn2J187edgf/GPQlGdT99xqYmRk\nrLESbyPGaGPmfGLpHFP+XPhH29lO9jG5xt85yojW4+5y4Rdbl9FvtDx6ix8Lw1B+58iXXOZDAOdE\nRF1dg+3Csh3t9Yog8XTK+ACRc9ni7PIdVdeyv9Enok7uLyn3oUTIyetO/jFzfvF0Gf1ZYu50+9DF\n3ClxdprxauSdf3yYrj/o4y0FuSCvGyP7U9fmlEi6ANfuco2ty+hvHq/bh6VE23ljGn2uIwJAJEDk\nXIkmCi8VeZct7q7lPvIVbee7rXhZZIu+a8k0DTRkuX6WC86J2l+efhsmIiIiIiIiIiIiIiKizoR3\nIhERUdEzTDOHODv+nQQRERF1HrnMh1LbEREREXUWnBO1Py4iERFR0WNNJCIiIurqij3/v7q6Gk8+\n+STmz5+P6upqbLzxxthjjz1w4IEHIhaLtWnf8+bNw7XXXhto7M0334wBAwZ02LkSERFRYRX7nKgz\n4iJSJ1SfcBBLOEodJFn7aI2oIaPWRGrql7WPVtV4NVDW1st+r65KjdhHoxgjax8lRJ2UZEJk04p+\nmQmbqoWk5MjKGjuOrFmTPbNV5mTKNwzZtiLej4PdnDdq2SLn3/HG6msvefswTe+8ZE6rXzYvAMQt\nTX9z24mK50LJKfaObsugeUGXHZ8zR3cgR9P2/34pdZASsm5R0neMrI+UaifE609XBympGSO3dUSt\nJFkfSdaiUp5rzffAj8yGtcTxY0p+r6hPVCbrI3mvwWg37xfaRI2oBdXda6dqJZWIekepOkmAWm9K\ntkvEcxtVaiJ5+3bF90h+f80KWRMpXIZyUKZpwQz7Yc/JAREZZvN/IiO+uT6QUvtI1veT/Ybm8y6X\n82itL981jlruU6n/5LPPAMeXtYzUWjb+NXagjNE84EPOscLWlNGUBNLOfHT1brJS6iBpXiPa/pCZ\n8Kn9aOogScqXoPmCLN33WlOXy+97rdYs8q99JKbQ2jG51lDS1U+SQpYp1ZKvKUPpb67doNRPUrfT\nvR7bdD65zIeAdpkTTZ06FWeeeSbWrl2r9N98880YOnQopkyZgh133DHn/S9btgxPPvlkoLGXX355\nq4tIhT5XomITTzqIJJ1ANY7y1fatQ6SrieT698eT4nd0Td0kv2snGeeVuqYiLpi0pd6RrdmPUk9J\nW2epqV/5zEzKsXb2th1gTIiaSGHrIOkEqX2k60+1lb4A1/HUa3qyBqrh36+pYZTql/WO5ONKjaUA\ndZOSYj+m6I+L8fWaOkSptr7ekfc1x8WES9YqkvuLhKl9BPXnKNUftq6SZDmGss98KeY5UWfFRSQi\nIiIiIiIiysljjz2G4447Dq7rYvDgwTj99NPRr18/fPzxx7jzzjvx5ZdfYp999sGcOXOw5ZZbtvl4\nt956K/r166d9fLPNNiuacyUiIiLqDLiIRERERY9xdkRERNTVFWN0y5o1a3DGGWfAdV0MHz4cM2fO\nRI8ePdKPn3jiidhll11QXV2N0047DbNmzWrzMffdd18MGzZsgzhXIiIiyr9inBN1dlxE6oTqEg4i\nCbtFVJ2IsxORc9Ui2m51c3SdjLBbXevF1lWLmLs6sY9GGQ/WKNveLbEyti4pYsNSsXUAYMe9yC0n\n0XQO2gi7kLfb6m53NSNePJgTjWX0u240+77lbbIiks6Wt75qo+rE1x/zzsvvlnAZmeZoMjqU262V\nW9ULkKeRPpDt39aOkbdqi7bt37ZFzJqMubObX0dKDJ2ISrTl60wTYafE34nXYlzeZq9pq9F2CEyJ\nthNtGW0XE6+LMnlLtPw6RORdtCGWMUaOLenh/xwmZbSd6C+Jez/fJZpYQoXoN5zCFCnkIhIR5cK1\nLLhWRP0UbI7Wcl3xfhUknizI8XSRY2Ei5NoSTyfe94LE0qXmGGo8mdeW8SuOJgJHt21+eDsMElXn\n6sbI2BExRn5NWaPtdK8Rpe3698tz0W2rOVbeGTLqxf/1qnvtWH6vXfFazBaDBwB2HuLvXPG48nrV\nxOBJYdMEJb/oOt1ryzLUeV6+FOMFk3/9619Ys2YNAGDSpEnKogwAbL311rjkkkswYcIEzJ49GzNn\nzsTo0aMLdj6t2ZDOlSif6pM2jIT6u1whIuz8IueUiDv5e74SbSd+F5dlDjTxd8oYbcyciKVr/oVd\nLZcQfLuW/dmi6pq2FW2fMg3ymlbq+lfL/iBtJ2ycnU85iILH2VnB4+zMALF1urYtrunprvuZsqSA\nuNaSirxLJvzj7GQknik+4GUJDEeMt0W/aYr4f7mt2GcymRl5F/eJuAPU178agydj7sQY+XWYmb8H\ntOz3a4eNs2sZbVefzM9rTCrGOVFnV5irfURERHlkmGZ6khD8P37EERERUeeR23yosHOixx9/HACw\n1VZbYZdddvEdc8opp8BsPofU+I6wIZ0rERER6RXjnKiz4zNHRERERERERKFUV1djwYIFAIAxY8Zo\nx2200UbYeuutAQAzZ85sj1PLsCGdKxEREVGxYZxdJ7SuMQm3IYnVInJunYiTW1Un4upEdN2q2nhz\nnxdhJ6PtGsX+4iIqq1FE4iUa/CPsEo0iNqtRxNYlZZyW12/73OIrb7vV3W6ruy3R1NzWamW53Tcp\n2jKuwjD9b1+VtzWboh0RkTlhbwNP0cXI6Po7mt9t0gC0kWhKnJ0Sc2f796di/mScnS7aTty6L+Pv\ndBF29eK29SBxdnGf75et+b5YMv7Q8O+X0XZllrefmLhtuUzE8pXWy4i+ptd6Ujyui/lzRFSg8jxr\nvhcl8jUtvyh5O71RgkJgnB0R5cSMAGZEiVxLxaqqsXUiBi5slJgulk45D594sCDxdOKzQTfGgYz2\n8v+c0sXSpVpy3hEkBkwXW+e2YU5i+GTIaSPsfGLFWu5DiRaD/PqyR9tZPucSNsLOcJKa8TImNkCM\nol9/vjLZlH5NjKKUeh2L16Khe/3LGDzxeRyR4y35c+dtaivxzJnRdrbmtai8Rv2/gkCvYx2/16Pu\ntWiZhu/rqK2KLbrls88+S7e33HLLVscOGzYMH3/8Mb788kvYtg1LE28UxKOPPoqVK1di9erVqKys\nxNChQ7HPPvvgl7/8ZdGdK1ExSCQdJQILyH9sXcv+VJyWLrZOtw9dbJ0dIDbOTooxMk4uFa3Xhtg6\nXfydGmeXFONFRJ34Xds3zk6MDRJPJ+PvJH38nf+nYr5i7Pxoo+3EnFgXS5eiu46nRNXJdjJ7nJ2M\n1lPKW9iR5u3EvFoTTydj7pTXjihjYWnGmyJ+TpkeRsTcJ3WtSxPnKCPskpqfSyW2TsTcBYmzK4mY\nGf1tjbNLJEP+fhVAsc2JugIuIhERUdEzjBwWkQxODoiIiKjzyGU+lNoupbq6utWxPXv2DLzfpUuX\nptubbrppq2NTj8fjcfz444/YZJNNAh+npSuuuMK3f++998Y999yDgQMHFs25EhERUf7lY05E4XAR\niYiIip5hWdqCnK1tQ0RERNRZ5DIfSm2XMmTIkFbHhrmjcP369el2t27dWh0rH6+pqQl8jJb72Gef\nfbDttttis802Q0lJCb7++ms8/vjj+PzzzzF9+nTstNNOePvtt/Hzn/+8Q8+ViIiICicfcyIKh4tI\nRERERERERBRKPO5FKkUirV9aiMW82KDGxsZWRvr7v//7PyxbtgwVFRUZj11++eW48sorcfnll2Pl\nypUYN24c3n777Q47VyIiIqLOhotIndC6xiScxmSgOkg/rpf1j5ra1UodJG8fDXX+/YlGTbuhLt2W\ndZBk7aOkaMtc11Q2a5AcVx2ZtSr3I293lP3yhyE1Ro51lNxbkYEqckTdAO2w/Ooj2bnvrkNoM3jt\n3HNRU9mzyvNvy7Ym4zgusow1dY2C1EeSef2p/mBfjbedkp2vqZVUb8v6SN4WcccQba8uWbfmr0/W\ngdLVjVKfL/l69a+JpCN/dmyjNOv4XLAmEhHlwjUicM2IUrcFZtP7WujaRzqaOjC6+jCpIir5qnGk\n1o+Bb7+uDoxfjRnJr35S5hjNAwGocelNOzKUx0U9ylZqz6THwP9rlgfS1UeywpSvCVIHSWlrah/J\nWgSuZkyqHaZmUlCa2kdGlvpI6mtXfo80r39LU0NJ8zMgayi5PjWUwtRPauoX5y6+jra8dlPka9ho\n0R/qNRVQPvL/Fy1ahKqqqrycT3l5ebqdbbGlvt77vS/bnUB+NtpoI+1jhmFg4sSJ+OKLLzB16lS8\n8847mDNnDnbdddcOOVeiYhNPOrDaWBNJV3slLusM+dRwscVnoKzroq2lJPqTmjpEudYzsjX1k3T1\njvS1l4LXPsoY0/zZb/v0tbYP3bUxXR0kydHs30/YOklBPpOUOkTaWkk+1+DE16+rceSIfRtivCXH\niH65rfpcW5mPiz84MOV1J1G/SM7JlXpHrmaMpt8VddRTx1L2YfnP2ST5cyTrGkmWqel3/SctqXl2\npI01kVrWZMsH1kRqf1xEIiKi4mea4T/sNROkfGtoaMDzzz+PGTNmYPny5ejRoweGDx+Oo446Cn37\n9i3q41x33XWYPXs2AKBHjx6YMmVK3s6XiIiI8iyX+VDzdilVVVWh6h61pkePHul2tlpLa9euTbcr\nKyvzcvyWzj77bEydOhUAMGPGDGURqdjOlYiIiNogD3MiCoeLSEREVPSK9U6k9957D8ceeyy+/vrr\njMcuvPBC3HTTTTj99NOL8jizZs3CRRddlP4Lp969e7f5PImIiKhwiu2vbmXdoW+//bbVsanHe/bs\nWbA5xxZbbJFuL1u2THms2M6ViIiIcldsc6KugItIndC6xiTshiSqG7yIq2wRdoAXY9dQ523XWC/b\n3i27caXf20ey3is8qoutk9F26i2+3j5Tt9A6mltp5W2nultjdW8Myu2pmlt//eL0gsTWFULL20CB\nwsRjFJISLSj7A9ySmytdVJsaDeQfE6S2W4+wA4CETxyQbt+6750uzk6NrZPH10XbNY3pvk7c4h4g\n/9BpQ0ai/D46VlnO+2mNaRowfX4WWuOGHB/WwoULse+++6K6uhpVVVU4++yzMXz4cCxbtgz//ve/\n8fnnn+OMM85AJBLBqaeeWlTHqa+vx6mnngrXdVFeXo66urrsGxFtiEwLMC0lIiLn+C9N9JeSs6aJ\n6nINGbPV9H/lc0L7OQXR9o9qk9EV8iuT/a7S77UdpOIyRJ/m48DN03TH0Lw1p96y9bF1Yh+iX37N\n8rNUSeWQX5Qm2s7ve+QbK9eirYuwM+yk73gZYadsq91nKs7OP0JPMvIU0ehqX+tN/YbyTfJ/zQeJ\nrTM0sXVK/J3yc9Q8RkbayH2b/nF6up8F/Ws9txe7fF5MA6HnLUHkMh8CCjcnGjp0KEpKStDY2Ij5\n8+e3Ojb1+DbbbFOQcwHUmDpZ1wgovnMlak+246b/0z3u105qYuaUOYxuTPPnV0dH2Mn+QkTYybIM\nuvg52yfaTl7TUq47KfvIHluni6rTxdL59YeNsNPRXYMzHBFRpxmfuq6nu6ZnmP7Phby+pytdIcdI\nQcZ4wl4+l3OpsPOz1LbhtouJCLtGTXxcTHwZ8aTsF9eXxHGt1LUmTTyejvz5tkxD+97TFsU2J+oK\neA8XERFRDs444wxUV1eje/fueOutt3D11VfjyCOPxB//+Ee89957+L//+z8AwDnnnIMVK1YU1XEu\nvfRSfPXVV9hvv/2wyy675HxuRERE1HXFYjHstddeAIDXXnsN8Xjcd9yHH36YvjPowAMPLNj5pCJ6\nAWDzzTdXHiu2cyUiIiLakHARiYiIip5hGjn9VyhvvfUWZs6cCQC46KKLsNVWWymPd+vWDXfeeScA\noLa2FrfcckvRHOfdd9/FzTffjPLyckyaNCmn8yIiIqL2l+t8qJBzohNOOAEAsGrVKtx3332+Y66/\n/noAQDQaxTHHHFOQ86itrcVVV10FALAsy3cBqFjOlYiIiNqmGOdEnR3j7DqhdY1JJBsTSoTdqlqv\nvbbOa1eLMakYOxlh11DrH22XaPS2kxF2yQbR1kTY2fEGry1v1fW59TbIbbXy1lhX3L5qRWVsnf9t\nrfKY8jZgM8TtvLo3oLa8MflF2Jma/BdTic7o4DdDn9uRATU6BLpbnHOMttPdvmqEzPzTxdbpYu6U\nyKDmfhk3p9uHjmWI233F9zEu+hMim0c9L9nvc+tzrfw5CxdzJ8lYQl3bKWlEIRgw1PicgNsUyhNP\nPJFun3zyyb5jfvnLX2KHHXbAvHnz8OSTT+Laa6/t8OM0NjbilFNOgeM4mDhxIgYPHhz6nIg2JK5p\nqVFaCBf5pURsyXgun+gzoEUUnUw/E8dMvfXqY+hEWxMXo4unk+Md17/f73yViDtNlJfdhjw7SzNX\nkR/9qX75Vi8/ytVoWPH8K5F0/tvKOYH4WFU+JcKko2tj7hzZ1sTWycg72S/mpL7RdppIPF3UDdoS\nTaPLim/ul5/7ytxPE2FnKFF1VtYxys+sPJdUvzIHEXF3mv2Zutg8U/cz7bV1Pw9+Ws7DrQLMy3OZ\nD6W2K5SjjjoK119/PebNm4cLLrgAQ4YMwb777gsAcBwHN910Ex555BEAwJlnnolBgwZl7OO9997D\n3//+dwDAuHHjcPjhhyuP//TTT7jrrrtw6KGH+kbMLViwAKeddho+/fTT9HEGDhxYkHMl2hD5RdkF\nibCzdb/f6saIz6RUv25/cU20nb6MAAKM8d9PKsYuXxF2utg4XYSd3zWotkTY2Qn/OymzlWtobXw+\nyP3pouWy1aOxxXMrr+npyOdOG1tn+n9fLJ9SF8o1Qvg/z22JtjPERNSQr10j87UrP++V17aR/WdK\nxtPJn0FLeR+QP4O6vOnM4wQhr2m2FqXZFsU4J+rsuIhERERFr9hqIr355psAmgo49+3bVztuzJgx\nmDdvHr766issX7681bHtcZwrrrgCn332GYYPH44///nPoc6FiIiIOlYx5v8bhoEnnngCu+yyC5Yv\nX4799tsPI0aMwKabbopPPvkE3377LQBgt912Sy8UtbR06VI8+eSTAIAdd9wx4/GamhpcfPHFuPji\ni9GnTx9suumm6Nu3LyzLwtdff40vvvgiPfZXv/oVbrrppoKdKxEREXW8YpwTdXaMsyMiIgrBdV0s\nXLgQALDlllu2OnaLLbZItz/77LMOPc4HH3yA66+/HqZp4q677kIkwr8jISIiorYbNGgQPvjgAxx1\n1FGIRqP48MMP8cILL+Dbb79Fjx49cMEFF+C1115DaWlpTvvv06cPLr30Uuy0005YtWoVPvzwQ7z8\n8st44YUX8MUXX8AwDOy44454+OGH8dRTTyEajXbYuRIRERF1RryCRERERS+X7Fo5vrq6utWxPXv2\nDLzfNWvWoK6uDgDQr1+/Vsduuumm6fbSpUsDHyPfx0kkEjj55JORTCbxxz/+ETvvvHOocyEiIqKO\nl2uWf3vk/2+yySb4z3/+gzVr1uCTTz5BdXU1fvazn2H48OEoKSlpddudd94Zjz/+OABg2223zXi8\nW7duuPLKK3HllVdi3bp1+Pbbb7Fs2TI0NjaiZ8+e2HrrrUPN5dpyrkRERNTxinlO1FlxEakTWlef\nQCKSQHWdV8NIqYMk+uONyYx2Y73Xl2iU7ex1kBKi3xY1kZykd8ykqI8UNrM1G5mv6ihZ9HJ//n+Z\nJvPSjXTmuyUeF3n6oh2k3xSh/zIbVLZjWcbIbH+5b13pH6VWUr4zPzVZ+IHG6OrqiK/fjIpMe8vy\nHW9Fm9pJS+5DfC80/UotBm1bfiHZa0P41YlQaxZlz39Vaz34t9USRrK+hl+tJNN3LBpELQbtcyee\ni5j4vsTqxBjxsxHzvl/JhKjvkEdtXUQaMmRIq2PdEDUP1q9fn25369at1bHycbldex/nb3/7GxYs\nWID+/fvj6quvDnUeRBsyx7DgGJZSZ8f1qX6jewtwdLWENPn+aq0i/9p4qW5tbQHN50eQWklyTEJk\n6utqNckxLc+v5b6D8KvpCACm8rnm/5kctYyMx6OW/5xJxrYrX4GSsSA+18Qg05T587L2jTxHny9C\nvgA0NZEMXb0j2S+y+LV1k2xv3uym5tBynpzwHodu/uzzvc0YE4ChmcOlH5f1B5R5ndhOjFHnft6c\nXKlnJOsoWLI/kjFWW5PJkmOy115SMvVlPSVDE9zh26++Rkw3v7Ummg5b/BdMevbsid133z3UNv36\n9cMRRxwRaGxlZSW23XZb38WmsHI5V6INWdjP9SDjdWPCHEupayTrO2r6lfowmv4wv9+FFfbald+Y\nsNs5Aeoa5bvGUaH5na/ump6pGaPbX9iaTH512ZW5TJ5oX8difpqqleSa8mfB24dh+u8DAT7r5c9l\ny7pFfv1BH2/r+FwU25zIdV18/PHHmDFjBmbNmoXFixdj2bJlqKmpQa9evbDddtvhyCOPxJFHHrnB\npsJsmGdNRERdimkYGQWrs3ELUNAaaLqrJyXbh7+MU4nHdYU5C3ucjz/+GNdccw0A4Pbbb0dFRUWo\n8yAiIqLikMt8CCjcnIiIiIioIxTbnOiRRx7BuHHjfB9bt24dvvnmGzz99NO48cYb8dRTT2GzzTYr\nyHkUEmsiERFRp7do0SKsXr1a+18Y5eXl6XZjY2OrY+vrvTsvs91NVIjj2LaNk08+GYlEAr/+9a9x\n2GGHhToHIiIiIiIiIiLSS91l1r17d5xxxhl48cUXsWTJEqxduxbvv/8+TjzxRADAvHnzsM8++6RL\nF2xIeCdSJ7SuPoG4lcDaeu+v2NeLCKsG0R8X0XWpdsIn4g7QR9glRWxd2Ag7R0R6hLn1VncLquQX\nT9eybUZjrY5Rxsq4ORkDJpZilX4Z1yJj6yKmaHv718bcNY9X4vE0UTDi8NAtrrdp5dgvukP2aSPs\nxHOriUHTRdtZItrOEuPthkTzrmX0mti3eM1bUXFLdMx7nVkN3j3Bugi5mLzFV9x67Bd/Fza2Tj9G\nHkeei9eulz8u8sehOadIjeLxj7azRLSlLgrQtLJ/XxKiHS/SOLuqqqpQWfmt6dGjR7q9Zs2aVsfK\nWkxyu/Y6zq233op58+ahsrIS//znP0Mdn6gzsF236T3V571Xl7KixKjIdCq5Xxk/ofSrx/Ybn/oc\nCBtVlxAfIDKGTu3XbKuJfUmNcTSfX0E+syQletfwn9coEXZy7mMbGX1RkVtXIuYPUWUaKD8bZKSH\nGCG7RQSsEfLr8w4jIuxsGVsn4+QCRNjZYh4s5s2umDejuV95XB5H9tvy+P5tVxNzp2P4RNgFmeMh\n4t0hq8yxRb8yRs7JZb9P5J0u7k7G1sH2j7xTY/PkvFWMl3NbXTvdp5+bGAWIFSq26BYi2rDo4qsC\njddMCtR9tuHkNiC660u6a1rKmObP6rDbacLqQ8sW7dam2NsAY3Tj09fg5PWiANsFOZcw2wYZ2xll\ni5wLG0lXqAg7qdjmRCUlJTj//PNx8cUXo6qqSnlshx12wOTJk9G/f39cc801+PLLL3H77bfjggsu\nKMi5FAoXkYiIqOi1dREpn7p164ZNNtkEy5Ytw7ffftvq2O+++y7d/sUvftHux1mwYAEAoKKiAqef\nfrrvth999BGAplusDz74YABNk5wrrrgi1PkSERFRYRXbBRMiIiKijlBsc6JUvaPWXHrppfjnP/+J\n9evXY9q0aVxEIiIiyjfDVO/GC8IpYGDrL3/5Syxbtgzz58+H67pqQW7h/fffB9BUs2jYsGEddpyl\nS5di6dKlrR4rkUjghRdeAAAkk4W5o4yIiIhyl8t8CCjsnIiIiIiovW2Ic6KSkhL8/Oc/x4cffojv\nv/++404kR1xEKoBVq1Zh7ty5mDt3LpYtWwYAGDVqlLbAVr7VNNpIRJNY3+DFW9Q1yIg6W7RFXF28\nqT+Z8B5X4+m8yA1bthv9I+xsTVRdrhF2ku52WHnrqzrG1PSLW2UjXoxGKubOEsXsLRFDZ4p2JGr5\n94vssRIRs1aixNmZWftTt4FGxdegxL/oYu5EvIs22i7I+61PdIcr+gzZ1j3/IpbEjcgIQfF1xrwx\nMirNFhF2poy2K20aH1Fer147Uhrx7bcTIg4n7t0IHjMzo4YAIC5u87eU5zczck4XiSejdoJE3km6\nc5HRdnF5P3tzf70tz8/1HVsv8gasev/4v3g0Lvq9gybE8ytjCRMhv76gDMM/RSbbNoVy4IEH4r//\n/S/WrFmDt99+G7vuumvGmEQigenTpwMAxo4di7KysnY/zrnnnosjjjii1WNccskl+Oijj1BZWYkp\nU6YAADbeeOPQ50rkZ/HixZg7dy7ef/99rF+/HgAwfvx47Ljjju1y/KTtKnFvkuxVYutknJ0YIyNa\n5Bi5+yARdaloOV1UXUNSRNUFiK1LiAM5PscBAEcTbed3fk6AeBtJ/vJm6eJ2Df/xSnRdc2Sq7Ctx\nvTd++XyWin5E5IeD/Jz2yOMHiTFUI/JSAzThMTLaTrYd/5g7JcIu3uC1G0U7mTnGTXhzbCT9Y/C0\nsXW6aDs7ZGRNap6ni4uRUXW6CDvZLyLslGg7pS3mjSWlmY/LuDtLjBVzUjXCLuLbDyOuGZ8l2q6V\nyYnhJLSP5SqX+VBqOyLqOMlkEp988gnmzp2Ljz/+GInm9/Qbb7wxdN3UXFimAcs0lLlHkLgpW/O7\nsPyQVfcpr2P4zDc01zFkvyGibOWcQX4MyzsJTDHe1e7H53FXcxwZe6u5XuTA+8wwHP9rIJYYL6+N\npa41OQnRJ8a6yme5KdriOHKMKa61aT7jg0TnBX28pTbFzPlE12mv9QW4phekdIUVyVLSwvL/nqtj\n/V87hqatjDE0Y3z6dSUydPvQlciIaMf4Tygszdw++/7831NS7z/5tqHOiVasWAGgqXbShoaLSHl0\nySWX4NFHH8X//ve/jMeSyWS7LSIREVFhHXXUUfjrX/+K+vp6/P3vf8ezzz6bMWby5Mn48ccfASBd\nRLG9jzN8+HAMHz681WPccsstAJruYkrF2RG1RTKZxOGHH465c+di5cqVGY+PGTOm3RaRiIiIiDrK\nRx99hN///vf44IMPfIuoX3311e2yiERERB3vrbfeSt9sMnLkyA4+m/B4Y3sezZgxA//73//Qq1cv\n7Lfffrjwwgs7+pSIiDoFwzBy+q9Q+vbti3PPPRcA8Nxzz+Gyyy5TIuBeeuklnHfeeQCAESNG4Jhj\njsnYR0NDAw4++GAcfPDBuOSSSwp2HKL2lkwm8cILL2DlypUYOHAgjjzySBx//PEdfVpERBu8XOdD\nhZwTEZHe999/j9mzZ6OxsRG//OUvMX78eOy+++4dfVpERBu8fMyJqqursWbNGu1/+eQ4Ds4///z0\nv3U1q4sZ70TKo2uuuQabbropNt98cwBNFwivvfbaDj4rIqINn2kaofNuc8nHDeOKK67ABx98gJdf\nfhlXXXUV7r77bmy99dZYtmwZPvvsMwBNi0BPPfUUTJ9bxVMX2oGmz4tCHYeovUWjUUybNg0jR45E\nnz59AADPP/88HnrooQ4+MyKiDVsu86HUdkTU/kaMGIE333wTO+ywA8rLywEAf/rTnzBr1qwOPjMi\nog1bPuZEQ4YMaXWsm8dyDRdffDHeeecdAMApp5yCnXfeOW/7bi9cRMqj0aNHd/QpAABqGhNIRBKo\nj2tqH4kaMsmEk9GfjHv53TKnVdYykv1qZqt/Bmveax9psk5lvqkp8tKtmFcjxCrx2hHRL/NOU+Nl\nvSO17V8TSdcvaxyVifoxZWJMWcy/XZqqESAC/VN1A4AW9QRkTqyMLBbtNv0lYmpbETwq6yNBZsbK\nvPqopj9Wmm5bpaImj3gNWgmvPxL32k5zv672kazpIPtdUVNCtsvqZH0L7+eizNI9X0oQdEaXpNYy\n8q+PpCnZoaXW4Mhsy33L48dFNrTSL94XLFFDLVIm6h3J2mq1olZSqfc9FRUg8sowDSXvN+g2hRSJ\nRDBt2jRcd911uO2227B8+XIsX74cQFPBxF//+te4+eab8bOf/WyDOA5RvliWVTTRiLbb9J/fLwCy\nwo18WGb7qzWRwtVBSmpqHqXqHDUqtY80NZFs/zFJTb8cL89R1lZSvg6f+kxBtJZ57tdW6jpamv7m\nc4gqn5PevksD/NZiiHmYqfmctJT6V8rW2Q+Q3lApkOW1ZR0kWYtA9GvrIMU17ebao7L2kVIHSdZH\nSsgxcq7una9r+9d20vX7McQ8VGnLeaiYE0L2a+aEgeaQcZ+aSCXeXFK3D1jyXERdBku8qGR9JFFf\nQgnblzUlUv26P94wTPX1kCe5zIdS2xFR++vfvz/69+/f0aeBWMRELGL6zgFaI+s2y3lNXMxV5LUO\ntd9q7hO/Z4r3oljE//0z7tsLqLOysH84l9o23Hby2oljZ38fldep5PUzv35dnSKlnrjmuhsQ9e03\n5ee95hpctmtzTshrd2ZbaiL51DwKMlZX70gZo6lnpatzlaqFpFwXFDXSTTHfkYsQsi66JcYoNdXF\n3NfSjPfbjxURx9HsO5altnrLdurnMrNfbGtk9gepg9Ra29b8vLfFhjQnevjhh3HdddcBALbaaiv8\n85//bPdzyAcuIhEREeUoEongkksuwYUXXojPPvsMK1asQGVlJYYNG4bKyspWty0rK8O0adMAIH23\nRiGOk80111yDP/3pT4jFYtkHExERERERERFt4BYtWoSqqqqCHuPFF1/EKaecAgAYMGAAXn755Q22\nFh4XkYiIqOgV451IkmVZ2HbbbbHtttuG2ibs3Rq5HCebDbGgIxERUVe0If3VLREREVGh5GNOVFVV\nhZ49e+bztBQzZ87EEUccgUQigZ/97GeYPn06BgwYULDjFRoXkTqh+rgNO2qjUUZ7iRwPR9xiLNt2\nc4yFElsn2nZSF2GXPf5Cd0tqtvHaODtL3ILZhgg7OSZS1j3djpU0/WjISLpoiZXxeMsxEU08XYXI\nYJH95ZoIO3kraSq6To2tE7e1GvI2UYh+ry3fVtv0O2QqukNGe4i2jDFx5fdcxo5oIkrMqHhOy0rS\nbUfE2Tkizi7S/LqT8StBYuskR9PfvS7h26/eQi81f90yCkZzt262GLqmtv95yduKtSl7zZQIJm20\nHXz7Y+J5TNZ7z3lUiQ4Uz3uD93wFuMs/J6ZhKK/1oNsQUdeWdF0lfgUAUv90NZGijqZfvpeKZBal\nX8bWNYo4M9mfiqtrtP1j63Qxd3JMg+0fTydjZGRbF1+Tjzi7IG1d1EZMTFxSkTmlVri4Czk86sjP\nSRFBI7+/0LR9XgOWiK0zZISdnPu6Adq2iJmT0TRZIuxkvy4GzxHRdo5P7C+gzpUc238On3OcnSnj\nWizfMXKOZ4pYZyX+TkQcZ41BjmRG3DXt22u7SuSdN99X9md75+JaMv5OE3PnmJn9jpxwq69dI6mb\nT+Yul/lQajsi6ros00j/l5JtbtCybWnmCro5hF+/PL6cp+joou0MkVlriORQR+zfSIp2c7+8/qVc\n0hBjHWX+IK+jZe4PAFwReWYnvZORkWsyli4Vl6bE1mmutTni804XeScFKSmRLc4ubCmKINf6AsXZ\nWZljgkTVaePpApTDkP2p6Dr5vdXFzcnPVCWGLpJ92zCRdzJOMUiEXYk22i575J2ck8v+1D5zibCT\ndFHYbVHsc6J3330XhxxyCOrr69GrVy+8+uqrGDp0aLscu1C4iLQBWbNmjfax6urq9jsRIqJ2Vux3\nIhFR++KciIi6It6JREQS50NE1FUV85zoww8/xAEHHID169ejR48eeOWVV/KaJtNRuIi0AenVq1dH\nnwIRERFRh+OciIiIiLo6zoeIiIrL559/jn333Rdr1qxB9+7d8dJLL2GHHXbo6NPKCy4idULxpAMk\nnXQ8HQDYPrF1gHp7rtt8u3GQW2CD8LsdNWNMltta5T5MzW2qSoSdJrZOjpexdTLOTkbURVNxdjGz\n1ceb2iKSTsR9qRF2or/EP9pOtkt94l2ioi8qbnWVbXmLqLxDU3e7ZqD19xbRHBl9ct+WjKoT7aTX\nduUtxjK6RNzibYl4lUjcP47F9Ymzc0JEsTTtw3v9m5p8OBltpw5xRL+R8Xi9iC6yDP84uSDRdjph\nou10dMdUogDF98JO2FnbTqQwf9XBO5GIKBe248J2XCW2LDX1kTF0jvJ+KGNcvP6kEi0XPLauaYyT\n0Z/UxNPJOLu46K8XUaO62DrZTgaJqXGDx9kpERVG9ugKXaSGrm27TfMgR/M5qZyLeHtvEO2oKaM4\n/PfjuiKCJlyKX5qhibkzbG/OYjhi/iJizZRYOhlfIyLsnIa6jH65nd0goqdFbJ0dT/j2K23bP8LO\nb46lo8TQWf5tUxd5J+bElpgrmjHv67NK/ef5RknTvFHOH5XnU84rS0TMnXz+tTF3Mg/JOz5M8X0U\nMXfp76+Iu3Nbxj234fconWL+q1siKl6lUQtlMSt0hJ022k4Ti2clM/vVCDs5Z5Cf2bZo+88r4ppj\nysgvx3R8+9NxdroYMkv8zit+n7WT4vdi+RmnfGbKawoi3l/OJ31i6XTxdLrrcUHakq7f6YA4OzNA\nnJ1fX6C2FW68jIXzi4vTxdkp/QFi67SRd0qcnRjjE3MXJBpanW+Lr1O3bZbYupb9qXZb4uws04Ab\nzf46CasY50SLFi3C3nvvjZUrV6K8vBwvvPACdtlll4Idr71xEWkDsnr1au1j1dXVGDJkSDueDRFR\n+zFNA2bID/uw44low8E5ERF1RbnMh1LbEVHnw/kQEXVVxTYnWrJkCfbaay/88MMPKC0txbPPPos9\n9tijIMfqKFxE2oD07Nmzo0+BiKhDGDCUvxQKug0RdU6cExFRV5TLfCi1HRF1PpwPEVFXVWxzogce\neADffPMNACAej+Pggw/Ouk1DQ0PWMcWEi0hEREREREREREREREQhyQhLx3HQ2NjYgWdTGFxE6oQS\ndnNNJE0dJBHdruS3OgHy8P0oOeci6xUi5x0ig1SXwWr6ZJYaSh0kkZsuayJFRb0jUeNI1jtSayWV\neG2Ry+lX56gtdZC6l3rn211TB6m7GF8q8ktLZLs5s7RE1kQy/dtqnRz/+kg5LNSnpbPeZea7yIdX\nst9l7aOIl0UvM+rleEPk1ZuyJlI3WfPIGx/1yeuX+cFhBclFNeu9XHz5/NY3/3xZhvxe+NdBior+\nhJtZl6Kpbfj2S5bmGxlr/jp8KlkFJmulObZ/2xa1OZR2gT5VDNO/PFe2bYioa0s6LhKOC/lOmnpL\n1tU+Uvs1NY5EO6EdY/uOT9U/kn31oracrvaR7NfVTZLj1ToGuv7c5n66zHOZxa7LXy+P+Y9Jn0up\n/weJrIOk5MyLdkJ8nVFH1D4y/T9XHVkfyfeogjqB9tqi9pFSZMkWdXhE3UelPlKjqOcja/uI+kip\n/mSd93iy3vulVNY7SspaSXH/mkh2QlNrMsc5lFKLQNYF0NRNMqPe91etjyTaoiaSFRO1T0ubvm6r\nxHsulHml/N1DtB3xnMt6ShD9EPsxYuK5EPU+lXlu8+8oriXrb6g1kQxbnE+e5DIfSm1HRF1XzDKb\nPotFWRLdfCfftZJknSQ5H5DzF3UuIX6P1syllPmOmEvIflO8P1t2c02kqDdW+d1WjJX1jiJRMUbs\nO+KK+YuomyTHy2tt6vW4ps87ef3N9alVnjEmQO0j7ZgQn/GFqImkjNfUTve7Bqg7jowjk9dx5F0p\nujG6OkeptqxT5FczqbX9yTGy5rY8F7/aR4A6J079PLRn7SO/48t26DpILa5XJa38T0SKbU504YUX\n4vzzzy/MzosEF5GIiKjoGTnk3bKINBEREXUmucyHUtsRERERdRbFNieyLAuWZpG0s+AiEhERFT3D\nNEJ/2POCCREREXUmucyHUtsRERERdRacE7U/LiJ1QsmkCyPpBIqtc7PEmBg+EXOAGiEnOSI6Qom2\nE3R3DspYvNSxdLF1luyPyMgLXYSdF0UhY+lknF2sJDPaTsbWyWi78pARduoYEW0njl+utL3norT5\nttLSSGYfAMTE7bbyvVBpQ9PWRMO4cpQhvy8+cXaathH1YgNl/Icp2o6uX5yjJfqj3TIj7HTkbdLy\nlmHZNsQtxrKtG2PFRH+NF4FiNTdlhJ1liNvtRaSOjLbTtZWonZBF/1JnGJO3Jiu3FcO3reOK2/zV\n2BvXt+3Ec48UbI1hhC+amEuRRSLqXGy36T8lZaz5H7oIu4R4T2sU8R+6ODul384+pqE5mkXG0+na\ndTLazpbRdl4kmYxuScrPFW20XfA4O0vzS5Y+/sI7XzW2zmvLY8oxvsScSf6lYUR8Tss4Qfm9S5gi\nSlZMVRzRdpXI2BCfGXI7MeE2RLSdjK2Dpq1E28X9o+1SMXYyws4WsXUywk72y9g6u8HbVn6W2+J1\n5PrEBLcc78ewfOaJaDH3ErF1yhgxP4+ICDtTfB2y34o3PV+RMhEvLOOQEyK2Lqlpi2hBGYVnyIhl\n8XNviN8njIj85ar5a5KvBTH3dA1TjTrMk1zmQ6ntiKjrKouaKI9a6u+Zcg6gxNx5bUcXv66Zb/jF\n1MY08xG5XaOlGSOveyj78Y+2a8xyrKR4XH79jq3r93++HLkfTRSdjL9T4+oy9+cGuEanO452fIDI\nYlcTnZ8PQT53/O4i8YuYA9TrVYHGK/3+5+UXUadEJst4OiWSLntUnTJvzRJbB7SMqzObH/ffLkhU\nne442WLrdGMsTZS07pqSqVyDMuDKyXiecE7U/riIlEdvvfUWHnroofS/bfELyFtvvYUzzjgj/e/S\n0lLccsst7Xl6RERERO3i3nvvxXvvvZf+93fffac8NmPGjPS/R4wYocyRiIiIiDqL888/HzU1Nel/\nz5kzR3mstNRb0D7mmGMwZsyY9jw9IiKiQLiIlEeff/457rzzTt/HFi5ciIULF6b/3a1bNy4iEREF\nZOaQd5tLPi4R5cerr76K//znP76PTZ8+HdOnT0//+7DDDuMiEhFRALnMh1LbEVHHmDx5MlatWuX7\n2AMPPKD8e5tttuEiEhFRAJwTtT8uIuXRqFGjMGnSpEBjo9Fo9kFtlOutqTIGTEbYWZp4OmVbMd51\nssdaKXF5Mn6s+VimmdkHqLF1MuYuEvMi1GRUnRJhJyLJskXbyce7B4iwq9CMl+1uItJDxtKVKG0r\noz8q7hOVbcvI3jY07dBS9wHLfZjibcQSsSiuiC6JeM+RK9pGzPurKzgyDkbEhYjXUUR5vTSdi6m8\nXv0jVZSoFW2cneZWZfF6SdSKCDvxerGa+6P13tcvI+RkVF29uFVextzJeAA12g6+Y3RS33d5W7E+\n2i77bchByNv8Q8UBhcCaSEQblvHjxwe+CDJ48OCCnYftuk3/+UTX2ZoYNF08nRpnZ4u211+XEPF3\nSvxcZlxdTYP3mSFj6+rFPuJJTbRd0j/GJUhMixQk6iRFF9fRqInrkOdVHtNE62X5XJPRGlHxuS6f\n86gYkxBZdWo0rIh9cf0/G7I+Fa7/c2io+dFih973S4mtE3FqSoSdiGJT4uqaY+xkX6K2wX9sg3/k\nnYy2k7Gz8nVhJ2RkbZj4YP94EkvElqjRdmL+FPXmijJyzyotEf1x0R/L6It2E1HWpTLmTsTWiedc\nxidDaTvZ2zL+rnk+a1gyrkjG9llKRF6+MP+faMNz4403or6+PtDY3XffvSDnEIuYyvUGQJ0D2JrP\nQF2cndxWRmv5Rd7p4nVlf1mAOF5tVJ3tPyfyi7wLEvsr+3VlIXTxd8qUQPN8pfap7FsTVSfpzkUZ\nE+B6gWY6U1BGgCQzv+tUaiRd9jg7GbMWKOZOGZ/5uC6eTu4vSGxcRDu+9bg6XVRdkHi60HF2hpxz\nZz5fujg7SV5TarlQk4gEeBGExDlR++MiUh4NGzYMw4YN6+jTICLqdCxTX5tDx8n/PIWIAtp7772x\n9957d/RpEBF1KrnMhwDOiYg60oknntjRp0BE1OlwTtT++NQRERERERERERERERFRBt6JRERERc8y\njPB3IrUlupGIiIioyOQyHwI4JyIiIqLOhXOi9sdFpE7IcdzAGfcyC9Jqzqh0kv51iHRk3SInZPa3\n3NbwqX8kjx+k9pHSjsn+7HWQoiVeu6y5hlGZ2EeFqH3UvURXH8lry21lHaTyaGa9o5b95eJ8U3WT\nSkTtH1kXQEbRy7Z8X5T98j02UH0kGWDb3HZlHST5PTdlFrwI24143y+jJHsIr7xFUhkta3T5naq2\n9pHMstX0R0Xmvnj+LVkHSXxPE1GvP5XvnxRZ/BFR6yIZoFaSrh22JlL6XDX1jgLVR4rI5yjkwk2I\n+hphmGb4CYLNrFuiLs92mv/zyeiXNY5kTSRdHSRZ76hRUx+pNpFZ+wjwr39U05gUY/3rI8lcfrk/\nW9Y+knVtkuLrtP0z/XVZ+370efLevk3xOWHb3udHMilqJIhjJrMcX77Xy6+/QTzPsjakrIOUkDUK\nXK9f9/GZc1kAXUEB0e/asiaSqIMk6iNB9DuiPpIjaxg1t3V1kBJ1Xp2NZL2og9QgaiyJ16UtX0dx\n/zpISu0GXaEMH3LOILPw5fxJrYnkP8eKiJ8HW8yhrebnQj4/rqh5YYm6UlHZ7/h/vwxNPc5AUR3N\n819D/KokZx2uGJNPucyHAM6JiLq68oilXG8A1M9mSa2D5N+vq6fkV0MpEfGv/SNrGSn1EkPWLQpT\nN0m/j+znott3kLZfPSNd/aJAtY9005AA1wsK9ft6a1rWx/Hjd21KV0spUK0kw39OolwD9Wn79QH6\nmkRq27/GkVKTyPLv99t/6LpGmuPIGka6+uqm5vpR6rnTPq6rj9Ti++JE/K7gtQ3nRO2Pi0hERFT0\nrBwmCLlMKIiIiIiKVS7zodR2RERERJ0F50TtjzWRiIiIiIiIiIiIiIiIKAPvROoi1AgScRuiuMUx\nFY0SJMJORs+5IqrB1MQ2GJrYOqVtZcbZWRH/6DlT3L6pxtmJ20dlbF2AaDsZRVfePL67JsKuXOyv\nuybOrlQ8t0Ei7GR/qWinYuxiEXmbKry24X87qnJrqjccbVpzT91PLG7TlRFzcL2v37XEPdbitmoj\n6kXbBSHj51y/tugzo17Uiy7OzhKxKKZsi23lGCvm9Zsy2k6+7ppjiuIyEi9m+rYjIjpGxtwlxC30\nQeLsssXc6eLsZL8u2k5GE8mvU31O2/evN3gnEhHlwnGb3iNlpEgquq4tEXayX8asydg6vwg7wIux\nkxF26xtktJ1/bF1SHNMR5y7HyAg7J+kfTyb5xZ7oom7l/FHOw+RcUp6XG80elxLxieCQz5UuukNG\n4yRlHI4rYmfFuSgRPJDnlYfPCRmVJufBMrZOjpHRdiJ+zRGvh2RDo2g3jZcRbsrjmgi7hCZWVxdt\n54j5iYxIlPyiEHUxMqaMUVHmRDLOTrTFGHlefjF3MnpPtiOa/qgcI89RE3Mne7P+xaX8XUZ0GwAM\nJ5kxvK34V7dElIuyaGacnSTnSY4mEk0bW6fZNjVe/Zz230ciwJi2xN+l2rrHkwEi6YIcX8oWkaeL\n99XvL1x/2DHtJdvnke7xsP1+c8zMduanfJB4ON0Y3TEDxc/5jAkSTycvy0QDjInIr0MTSyePm+rX\nXf7RbdeS3cr7T644J2p/XEQiIqKiFzENZVIWhMPJAREREXUiucyHAM6JiIiIqHPhnKj9cRGJiIiK\nHu9EIiIioq6Of3VLRERExDlRR+AiUidkmgZM01DiSOQthjKqSkZQWJHMWzkd04seszURdpLsl1F1\nkuyXcXXyXFIRdTIiRY2wE20lqs5rx0r8+0vE+Aolis6LritrHi8fL9NE2JWJfevi6Uo00XZKbJ0m\nzi7afIutjLCTq+1R0/82VTlefS3At60ltnWb4+wMw9u5a4q3ERlbJ3ahu3la7seQUXUi2tAVrxdH\nvqaa26Z8XUa9KMao6Dej3jkmaxt8+2Xbbohpxnjb2qWZkTGWeF3qYmSSoj8iXkdRES8TE+NdcT+/\njLyzNU9qKtrO0sQRKbc7mzJeRsbOiOdOibYTY+TPphhjFugD2cxhglCocyGiDYfrNv0no81ScXW6\nCLvGpH+EnewPEmEnI+pSEXaAF2MnH28U8V0yti6ZEHF2MuZORqrI2DoZ4SaiS1xNOxvdPNGQsXni\n88B1xGd2gOP4RXrIPjk3khE06uehjLCT/SIezT9ht0VbPEepWYwrN/Tahuu/Q1ecl5wTu4m4/xgR\nbSfj6mS0nd0cZ5eKtZN9TW3/CLtEjRgjX0eaaDvltRP3789G+R1DthvEfCMq5x6Wb9sW0XqRMhGV\n3HwujhJbJ55nTZydjhJt5xNpA6hRymEYpqW+fvIkl/lQajsi6rq6xSx0j6nXZ7SxdZq3LjWqTkbY\nyW0zo+3k57Q+ws5/jJxLJBzN8TVR8H5ReLoYuny1pSBxeVn3ofkeBdk2X+PzIcznVpCx2msdASLv\ndJFzfn2FaAeJpUt9ZsuvU173UyKm2xBtp4+wgxhvZIyVLM00qeV4J5b/ODvOidpfbrNiIiIiIiIi\nIiIiIiIi6tR4JxIRERU9yzR9C19m24aIiIios8hlPpTajoiIiKiz4Jyo/XERiYiIip5l5FATSXPL\nNREREdGGKJf5UGo7IiIios6Cc6L2x0WkTsgwjeb/1L4UmWnv+mSsyrFOUtZSan27Vs/J0OR3inOR\n9Y9S5yhrH6k1kWS9I//+Mk09o3KltlFmHSTAq4Wkq4NUqqlxpNRBimhqH4ltdTWR5Jtaaje6PFS1\nDpJ4br1ube0j2a2+jyovHtFvZ/bJVXyRZSxfIdr6SLbhO8bwqX3UdKjMWkmyDpIbifq2Ean19iFr\nHNX510RK1mnqJsW8fdoNjem2Vd9Ud0Dm/EdkTaRSUaOgQdY8cHz7o+K1JusVROL+Wf+51yvwr4lk\nyZ8vUYtA1iswdHUPrMJ8IOdSNJEFE4koYbtN/zmZ9XRkFr9s6+og1SbaXgdJjqmXnxO6OkiyX1On\nRumXNQJkraQc8+/lnM22/edsrvhtQh4n4srPb//343qZEd88D4ol/b8XsiaSrdRIEF+nqIPkaOoi\n5L0UgKx7I2uGOpr+pH99JDvu1TayfeojOQnvcVkfSVeDUdcv6yPJ2kdyvmFr5hth6OYYSTFvVOYY\nyuvb//ipdiTHc2qNUh9JtJWaSMr81FT/n9G24Ca95z1fWESaiHLRLWqhW4uaJLpLOkFqJenqI/nt\nR7ddQlMnSN235pghx6dqYwY67wA1lnTbhq2VlG1s2DFtGd8R8l4rKUBNJF2/b30kTZ15v/pFQbeN\nWgH2aWTWCQ1b1yiq21ZOVbR1tDO3DVr7KKVltx3Nf00kzonaH+/hIiIiIiIiIiIiIiIiogy8E4mI\niIoe70QiIiKiro5/dUtERETEOVFH4CJSJ2SZzT9MIh5Nxp64jn8bzalghoiwc2VcieaWYR15W6Mu\nTk9Ga1k+0XYRccu1HCtj62KayDkZW1cW8/q7l+jGZO6nVBNJJ6PvwkbVRUXURSwib0nVxNWZmY/r\nIuyC9Bttyf9sjrFzTe851EXVBerXxeIlvbZR4h8jYkSbouVkbJ2jRNh5MXemaLsNXrRdVPRbpV6E\nnSVi66xSL7YuUuaNT9SK8aXxVh9PlnoRNDLmTsbFqP22f1sTQaP+fLce8WKY/j9/MoZOxtbJaLsg\n/Ub+71IG0PR+Eja7VndrNRF1HQ5cOK7bIkql6f8yRqVRRtspUWleu16878p2nexPyDH+MXepGLtE\no4ywC9AWnxm2OF8ZZyfjhu2k/+eBK6PVfBimfwydKeeBpogYc8R4OccT2yYN75hKxLHl7Sf1nMo5\nU9z29i1jWWS0nRP1j51RImWyRO00n5nvGF+u5rNWPLeu0paRbOLzW7xG5BjZn4q2S9Z7EXZybiDn\nA0lNZG5SM/eQ/TI2To4JEt+Ton5Oe+dlxf3nHsrXLOYVyu8q4puaihhyQ8T4Amq0XpC2KeORk94c\nDnFvbpeakxpiLpkRYZjlZy0XucyHUtsRUddVYhlKJD/QNEfyJ96ntZF38B0j9+m3rRpJp+l3/a87\nBRsPMT5zP0Hi8bTnGzL+TxclnO0jLMi1tiCyfWYXg3zUpgny+aZL3PeLotNHvAUY04b4OXkqqecl\nSAydNnIvQGyd7DbFz73S77NpkG+b2WJe3ViAsgecE7U/LiIREVHR451IRERE1NXxr26JiIiIOCfq\nCKyJRERERERERERERERERBl4J1InFLVMxCImkiISzI1mv5U1FTlnWZmxEYAakRKEjCuRUXVKtJ24\nx1KOiUSb4+xEtEVExsmJ+KxyJYbOi5+QkXPlmsg7uR9lfHO7JGRUXakmtk6OifhE1QHZ4+os3a2p\nyBwLqKEsSnRMgNtwJRk5Zxipe8jFUZVIOu+5VV4tcow8pqHZj2yLKBu5fyMVNSJjd2T8iGxHNf0x\nL5bEEBElZsSLvLNKvZgSu8GLkjGj3rlYzf12g4jQE8eMiEi8pNiHjKBJiEiZZL2MsfGPtpNRLkq/\n5rZ5P/Jn0VQiXfyj7SLiZydSJr5+GW0XKcxfdaRiOsNuQ0Rdm+26sF0XCREzlWjOQ0nICDvxntog\notJkPJ2MUAsSYaeMEe/xqRg7GVWXaBSfAQn/qDo5XsbZydg6J+l9xihxarZ/rFZqjIywMyyv7Sif\nsSICNuL/Bit/sUjKOYn8vBHnbtlefypKplF8PboIOzWqzjumo4nAkbTRPP7dYoD/CENE2ym7llFm\nSltGAfpH2Cn9iURGn4y31UXgJgJE2Cnbiuc3rokCTD3Xsk+NEZH9Xq8l9hcTrwUZx2vFHN9+JbI3\nRIydOq+Rr2/Td4wl5m12ozdvs0w5DxX7af5Zc5MiSlnM/Y1otCBxdrnMh1LbEVHXVRIxUJLxe1r2\n2DpJ+7mqjMl8fwoSdxckHk+7zwCRd+nHA8wTsu2j5X50Qvxaro3To3DCfj5mG66LStPFxmnHhNxP\nql93uS5I9FyQqDr1XMS2Wc5Vp7Uhme8/bcc5UfvjIhIRERW9iGkoC7BBtyEiIiLqLHKZD6W2a2+J\nRAJRsThXCPF4HLFYLPvAZrZto76+PtDY8vJymCavNBERERWjDWlO1FlwVkREREUvlXcb9j8iIiKi\nziLX+VB7zIlc18X999+P3XffHd27d0csFkOvXr1w+OGH4/XXX2/zvufPn4+bb74Zhx12GIYOHYqK\nigqUlJSgpKQEw4cPx4QJE7BkyZJW9/PSSy+hoqIi0H+fffZZm86ZiIiICqeY50SdFe9EIiIiIiIi\nIqKcNDY24vDDD8fLL7+c7otEIlizZg2effZZPPfcc7j44otx1VVX5bT/FStWYPvtt8/oj8ViiMfj\nWLBgARYsWIBJkybhvvvuwxFHHJF1n+Xl5Urkd0uWiEEkIiIi6uq4iNQJxSJNNZHiIq9e1jbSfdNN\np2m8k/TPfNflweqyMU1xfFOpveJfK0nWRypprsMiaxaVKDWRvK+ie4nXlrWPyjRtOV6pZySP39xf\nEvG2Kw1QHykqvjZZE0lmbio1kXxqHwH+dY4sJd/Uv8ZRkDFtWnNP1yoSef6iThFEXQDlOIYcL/Li\nbZH/r6mtBNMbA0e0m8cbSp0kL8PejXrRFm5E01bG+NdNMkq8WkmWaMuaSJHmOkfJBpGhL2opJWvF\nPmRNpOY6BwBg1Xv9dqnXr6uJJOsbuLZ/nYT0cWz/n2lTEwZrRWUdAVHPS6mDJH6+xc+Xbp9tZRrh\n/2IkSG4vEXVuSdtFwnaVXPpE8z8SolOpmSTasg5Pfdy/PpK2DpKmnlGqrauDFJf9Yh/yvTwZ9z5v\nnISmDlKAdopSE0nTVvchPz/9Z5aGbu5nic8s8ZmRbH5OdXWQkrJOj+Nf08AJUCtJyrkCgev/uarU\nnpI1lDT1keTnt7Y+UvMYWUdRtnX1keSYpKbuovJal8+75nlM1YBQSxNp6iAptQDkvr3+mDhOqVL7\nyP95yUat6RgX/f7zGjmXk3M4U/yeYUbFfkT9o3QtJDGXM+QcM5GAm/Qey5dc5kOp7QrpzDPPTC8g\nnXvuuZgwYQI23nhjfP755zjvvPPw8ssv4+qrr8bgwYNxyimn5Hyc0tJS/Pa3v8VRRx2FXXfdFZWV\nlVizZg0ef/xxTJgwAdXV1fjtb3+LTTbZBLvttlur+5o3bx6GDRuW87kQbUhKLAOlVvj3AfUd2H97\nXW0j73HxOR1oH+LzQDNeV0NJGaOpv9Tauba2P92+gwhZXpwKKMzHoRng6lmQGkO68br9p8Zo96Ec\nJ0C9I2XfuvpM/ueYbX9BNeTw/pNNsc6JOjPG2RERUdHjbcpERETU1RVjdMv777+PyZMnAwDOOuss\n3HTTTfjZz34GwzCw1VZbYdq0aem7iC688ELU1NSEPoZpmjj55JOxePFi3Hfffdh///1RWVkJAOjZ\nsydOO+00vPLKK7AsC8lkEhdeeGHevj4iIiIqPsU4J+rsuIhERERFj5MDIiIi6uqK8YLJHXfcAdd1\nEYvFcPnll2c8HolEcMUVVwAAfvzxRzz++OOhj7HxxhvjvvvuQ9++fbVjdtppJxx88MEAgLfeegvr\n168PfRwiIiLaMBTjnKizY5xdJ1TSHGdnx/xznJNJcbuj+OGxU5EhIqZKk9ahUFLITP99y6i6iIh/\ni2na5ek4O+8lGrMyHweA7qXeGF2EnRpV5x+RVx7NjK6Liq9Bib6TEXaa2DolxkPXr4mzk3dXpsbr\nIunU206zR9i15dbNVOScugf5IhGvHRkzJ19Ioq1E2IloO0MzxhDtdL8jXudKtJ3Yn4yqi/rH1rmx\nUq8d9+LnnPpab/8ipiQitrVKm8ZbDeJxEVuXEHEpapydd45WqYizE5EqMtLGFuPVKBsZd9R0r7wS\nBWNnv3/e0NxebImfI0v8jMgIu4iI7ivUXybk8mHfEZODhoYGlJaWZh/YwcdpaGhANBpl3j91GbZP\nFJqMPnM0EWqy3Sgj7BK6aDtdhJ2T0a/0ye00+3CS4nOisd63Xxdb5/hE2OmYIsLOlPFcAfahRNiJ\nzyHL9j4dbNEvx6T61e+VeFwTZ2e7/tFrkkx1VSNo8vA5Iec4mug1GcnmauLsZFyhI8ennhdtvK0m\n2k4zXhdhV2/7P6ciPVfpz0aNtpNteRz/5z/W6H8cw8ycZcj5i/w9RM5fDMv7GZERdraYk1nidw45\n93KiYj4Z855HI/V91PzMFWoGkuvFj0LNiVzXxbRp0wAAo0ePRp8+fXzH7b///ujevTtqamrw7LPP\n4uSTTy7I+fziF78A0PQztHz5clRUVBTkOEQbmhLLREnE1MZjSbqYN8kN8HmQ2k+QSDrdvnWXo7QR\ndgH2mW3fOhtCJN2GnNJV7M9v2OdWd10kSJxctmOGjadT9hlgjHoOrQ8K+p5SUoCyB8U2J+oKeCcS\nERFRG7zxxhs4/PDDUVVVhbKyMpSWlmLnnXfGpEmTlAuBHXWcRYsW4Z577sG4ceOw5ZZbprePRqPo\n378/xo0bhzlz5uTtPImIiKhr+Pbbb/HTTz8BAEaOHKkdF4lEsOOOOwJoqkVUKEuWLEm3e/ToEWib\nxsbG7IOIiIiIujjeiUREREWvWO9Euvzyy3HllVem/7qtpKQEjY2NeO+99/Dee+/hP//5D1588UWU\nl5d32HEOPfRQfPrpp0pfaWkpEokEli5diilTpmDKlCn405/+hJtuuinrXxsRERFRxyi2v7r94osv\n0u0hQ4a0OnbQoEEAmhZ6ampq0L1797yey7p16/Diiy8CADbffHNsvPHGrY4/+uij8fXXX6Ourg6x\nWAxDhw7Fvvvui7PPPjvr10JEREQdq9jmRF0BF5E6odJoBCUx/bc2LiPsHO9mtKSV+ZfsjuZ+YG1s\nnaYto+pKNBF2MrqurDk2q0R53D+qTra7RWVUnX9snYyik7dUlvqco4yqi0W8r0fG3LUltk72Z4ui\nCxtbJ+ki7AJdK5aRc82RLUrEnDJWtEVEietm7gNoEXMno+pkv4i5g4jYgdP8enHk46Kti7mzvBg6\nGU9nyDigiBwjIu8avZg7v/g7I+bFC5mxOtEWcXb13l87KjEqIhLOFrF4STkmnki3ZRSeLWJXUpE5\nujg7GZcjmZrbi2VsnYyRkbEvVmmJ1y7QfehmDhMEs8CTg4ceeiid8b/ffvvhlltuwbBhw7B69Wrc\neOON+Nvf/oaZM2fi5JNPxn/+858OPY5hGNhvv/1w0kknYc8990SfPn2QSCQwc+ZMnH/++fjoo49w\nyy23oFevXrj00ktzPleiYuO4bvo/2Qeo0WeJAHF2atuLraqT8XNJGVEn4slEfyo+2JZjlVhSuV32\nCDtljC7azm49is4Q0Zau+KyVMXiW/Mw0/aMw3YiIBJNfs5hjRpTYZDejLZ9nbYSdpi05HZyLonvO\nZbSdY/tH28l2KsrWkZ/l8nmT/UrMnf88QEbYBWnLnxPb52dHR8bWyTlxTPlsljvyj0c2xddhWE3P\nhSkm0LZ4Pcko72S9iAwWvx/IuZcZ8+Z4thIf7M23zISY7yS9/tT30ZAxjy3bebwbOX0+OV4wkXOi\n6urqVsf27Nkz8H5TdyEB0EbZpchFndWrV+d9Eeniiy/GunXrAAB/+MMfso5fsGABTNOEZVmIx+P4\n5JNP8Mknn+Bf//oXbrrpJpx11ll5PT+ijhQzHJQYAd+TgrzF+MSLtuT6XGzQx9D5R80G+SQPFmHX\n+hcVJMIvX/LxK2q+/+gvX7825/t5DBKbGER7fX/DPo9ho+jS22mPH+66nxHk+Q1S4yQbo+k9KN/y\nMScqlMbGRnz44YeYO3cuvvrqKziOg969e6ev62youIhERERFr9juRKqrq8OECRMAAMOHD8e0adMQ\nba631atXL1xzzTVIJBK4/vrr8dhjj+H3v/89dt999w45zpgxY/Dwww9jxIgRSn80GsXee++NN998\nEzvssAO+/vpr/O1vf8Mf/vAHVFVVhT5XIiIiKqx8/NVttrtswly0q631aoeWlZW1OlY+XlNTE/gY\nQTz55JO4/fbbAQDbb789zjjjDO05HH/88fjNb36DbbfdFgMGDEAkEsE333yDxx57DFdffTVqampw\n9tlno3v37jjhhBPyep5ERESUH8V4J9IzzzyDv/3tb/joo48Qj8eVxwYOHLjBLyKxJhIREVFITz/9\nNJYtWwYAmDhxYnphR7rooovSF0wmTZrUYce5/fbbMxaQpMrKSvzpT38CADQ0NGDmzJk5nSsRERF1\nXdkWn+Tj+fwr+vfffx8nnngiAKCqqgqPPvooYrGY79i99toLDz74IA477DAMGTIE0WgUhmFg8ODB\nmDBhAt5+++30H9L8+c9/xvr16/N2nkRERNS5ffjhh3jvvfcAADvttBPOPvtsDB48uIPPKn+4iERE\nREXPMoz0X5oE/q+AtX2effZZAE21hQ466CDfMVVVVdh7770BAC+88AKSyaTvuGI4zuabb55u//DD\nD6G3JyIiosLLaT7UYk60aNEirF69WvtfGDKSrr6+vpWR6uP5irJbuHAhDjjgANTW1qK8vBzPP/88\nfvGLX+S8v2222QYXXXQRAGDVqlV46aWX8nKeRERElF/5mBPl269+9Su8++67WL9+PebOnYvbb78d\n/fr1K9jx2lu7x9nZto2ffvoJa9euRc+ePdG7d2+YAfJUKbhYxGyuNSQyvMXtejJrPumTKa/Llpd0\ntY8imjpIMVGfSOkXdVjKY5ljdLWPSiOy7V9vKVu9o4x+Sx6/6euQby5KHaQ81T6S/dlqHhWk3lFY\nRubPqutTM6nlWKX2EUTdBdkv/3pR1k0S9YxcWf8oNcb2qZME6GslWZpaSVGvro+slWTKmkiyHc3s\nl48bUbGPmFdLySr12jKXPylqJTmiPpIlxjgir1+piSTaTnPdJFlzQVdnQccQL3ClLd6rZR0BK+o9\nj2ay9bobuSq2OLsPPvgAALDddttp/9oVAEaOHIlp06Zh3bp1+N///octttiiKI+zZMmSdJtRdu2n\nsbERK1euRENDA/r06YMePXp09Cl1OrbrNv8n+5r+nxDvk7abOR8CWtRBEu+fulpJtp29nUw4zf+3\n/R+Pi9p5og6SHRdtTU0kWYdHqYnkZKmJ5Mj6d6ItPjNNWStJHFOOt8Uitqy1J2sfya81Ivodn3mo\n0tZ8j6SOroOkpXn+9Z/VmbWSdLUObaWelpuxHdDyte4dX1f7KD81kfzbyvdR1M9U9+k/VylrrvmU\nEDs0RNsSvysotZLEc2SKOZOu1qScb7ml4nkX38dULU3X8WpkGo46NtvPXS7yEd1SVVUVqu5Ra2Sd\noxUrVrQ6dvny5QCafs/p3bt3m4+9ePFi7L333vjpp58Qi8Xw9NNPY7fddmvzfg899FBccMEFAID5\n8+fjqKOOavM+Kbv169dj5cqVsCwLffr0QXl5eUefUqdiJhtgJlos9Lal1onPdQEdVzdW9PtXWkT4\nixryWGE2LcSvjWGe3wLUpjHyUcumwLSvDT9BxmqL/7Rhn+1FuTaWbWzur5fQr4tcX0ctnlsz2aAZ\nmLtijLMbPnx4wfZdDAq+iPTFF1/g1VdfxYwZM/DWW29hxYoVyq3spmmiX79+GDVqFEaPHo199903\na04zERF1LZYR/i9GCvUXJvF4HIsXLwaQva6AvHV54cKFoRZ32us4ADBlypR0Ox8XYCiT67qYM2cO\nXn/9dcyYMQPvv/9+ugB4SjQaxS9+8QuMHj06PSfK14U+IiLa8OUyH0ptVwjDhg1Lt//3v/+1OnbR\nokUAmmoCtHWBYOnSpdhrr72wdOlSRCIRPPbYY9h3333btM+UPn36pNtr167Nyz5JVVdXh+nTp2PG\njBmYMWMGPv/8czQ0qBcYu3XrhuHDh2P06NEYM2YMxo4d6xvrTEREXVOxzYm6goIsIsXjcTz11FOY\nNGkS3nzzzVbHOo6DJUuW4NFHH8Wjjz4KwzCw11574cwzz8Shhx6KSKTdb5YiIqJOprq6utXHw1yo\nX7NmDZzmvzaWFxr8yMdXrVoV+BjteZynnnoKb7zxBgDgsMMOw2abbRZqe2rdqlWrcP/99+Pf//53\n1gtsiUQCn332GT777DNMmjQJZWVlOProo3HmmWdi5513bqczJiIiCqZ///7o168ffvjhB7z99tva\ncfF4HPPmzQPQVCOgLX788UfsvffeWLx4MSzLwsMPP4zDDjusTfuUUrUoAaBXr1552y81/YHxpEmT\n8MADD2Sdm9fW1mLOnDmYM2cOrr32WvTt2xfjx4/HaaedhgEDBrTPCRMREVFaXldoXNfFww8/jIsu\nukiJxjFNE8OGDcMOO+yAjTfeGL169UJFRQXWrl2L1atXY8WKFXjvvffw1VdfwXVdTJ8+HdOnT8fg\nwYPxj3/8A0cccUQ+T7PTK42aKI1aasyaEjOniQlpvlgp+3S3+Vki1koXbSej6mKaOLkynwg72S9j\n66IirqLU8t9fiS7mLkC0nXy+UrvRxtkVMLYOUO+29YurC7JwbrQh0sXNcWXe0JRZCx15J+JNXNds\ndbx230Fi7uS2Yrwhj6NE2HlxYm4ks60+7h+DZ4i/oDNjXoyKLuYuUurF7CUbROSdjLPzibnTRdg5\njv/tyHKMjLCTcaO6mDtTxNlFcqjHE4RhGNroxta2Scl2J0+2YtBSbW1tul1aWtrKSKCsrCzdrqmp\nCXyM9jrO//73P4wfPx4AUFFRgZtuuinUOZJeTU0N/v73v+PGG29U6kCUlpZiu+22wzbbbINevXqh\nd+/eKCkpwapVq7B69Wp89913ePfdd7FixQrU19dj8uTJmDx5MsaOHYubbroJI0aM6LgvqpNIRZ45\nutg00faL/W2t3xbRdo6MufPpl31JJVbLP6pOF2Enx+si7FzNe3+KYYqYLhFPZ8L7XJPHV7cV4+Xn\noHhflTFz8qNa15+ie56lIP3KccTwAAnO/pQ5i/yCbP+23FQTK6tE2/l8v2SEnSM/12WEnePfr4uq\ni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QUXAGiKhtpll12w1VZboaKiotXIZc5Tc2PEa2HELd/3MaCV393z8L4WZj4SWJBINp9z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\nSTzk9iOkmJg9e3biB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fnnn8d///tflJWVwTRN/N///R/GjBmDQYMGoUuXLohE9Bcczzjj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\nduL4Ek5es7Frx1fHS9XdpYwnz4FibEOn0BMnPPk8rIiIJ2rVc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58+iZgoHo8nYqJvv/0W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SXbt2TRlj+vTpGDp0KIYOHYqnn37aczt/+ctf8OCDDwIATj75ZDz55JPKisB0rFixApdccgne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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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Hj8Zxxx0Xt69hw4bhk08+AVD7xeozzzyD3XbbDT5f7ZS3TZs2uPHGG7N2Xzp0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\n+XqxDZOoMYb3i6E/uS3T3CZs5fVqibbot9tRTfcyy4k6Ank7i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1+jSS0n8aOtM82pm9sU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iysSuu+6K2bNno6GhAUuXLm1RV0dapr6+HvPmzQMADBo0CDfeeCOOOOKI1P01NTWYMmUKTjvt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\nenLfrYU5qAouIeBCcAs9l2LWbVGR5/mOiFBkMl4QGemJZpT3q87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qHan6B1vPyOVdTqxC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RGFM7Mv1syZMweHDx+GzWbD3Llzy31sLVYO4JwI8MyJ/NUfKikpwdmzZwFU35yI8yEiIqrt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\nRSQiIiIiIiIiIiIiIiLy8v++ln7Dct9JWQAAAABJRU5ErkJggg==\n"
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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ghRdesP89depUTJo0Sfvavf322zUyiCTf33Xr1iESiSSsuVXVvkc6ZGVloW/f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\nVVddxUE9IiIiIiIiooNQ4lB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zZ8/GkiVLMHv2bIwbNy7t+0FUEwzE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\nJEyfT9N/c/IgFZNIelki59Mlb6OgypRDgLezyTOf7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DABH3/8Mf73v//hhRdewGmnnYbN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DMx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\nSYS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4U1TyPR3Kj2RZHIeF/Vu2oezUxypK7h++j0H1nuEeiZL/mdrYHSiGS+nvwfD9hSDO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nX33XerWrVq2fYLQMXHx6shQ4aoZcuW2bYZMWKEbb/Tp09Xp512mm3b48ePW+2nTZumWrRo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\nUQhOIhEREREREREREREREVGI/w8Viz5jWul/zAAAAABJRU5ErkJggg==\n"
          }
        }
      ],
      "source": [
        "# plot the actual measured fields\n",
        "fields_meas = sim_data3[monitor_intermediate.name].colocate(x=xs, z=ys)\n",
        "make_cart_plot(\n",
        "    ys,\n",
        "    xs,\n",
        "    fields_meas.Ex.isel(f=0, y=0),\n",
        "    fields_meas.Ey.isel(f=0, y=0),\n",
        "    fields_meas.Ez.isel(f=0, y=0),\n",
        ")\n",
        "plt.suptitle(\"Measured fields\")\n",
        "\n",
        "# projected field without approximations - get them in Cartesian coords\n",
        "fields_proj_noapprox = projected_field_data_noapprox.fields_cartesian\n",
        "make_cart_plot(\n",
        "    ys,\n",
        "    xs,\n",
        "    fields_proj_noapprox.Ex.isel(f=0, y=0),\n",
        "    fields_proj_noapprox.Ey.isel(f=0, y=0),\n",
        "    fields_proj_noapprox.Ez.isel(f=0, y=0),\n",
        ")\n",
        "plt.suptitle(\"Projected, no approximations\")\n",
        "\n",
        "# projected field with approximations - get them in Cartesian coords\n",
        "fields_proj_approx = projected_field_data_approx.fields_cartesian\n",
        "make_cart_plot(\n",
        "    ys,\n",
        "    xs,\n",
        "    fields_proj_approx.Ex.isel(f=0, y=0),\n",
        "    fields_proj_approx.Ey.isel(f=0, y=0),\n",
        "    fields_proj_approx.Ez.isel(f=0, y=0),\n",
        ")\n",
        "_ = plt.suptitle(\"Projected, with far field approximations\")\n",
        "\n",
        "# RMSE\n",
        "Emag_meas = np.sqrt(\n",
        "    np.abs(fields_meas.Ex) ** 2 + np.abs(fields_meas.Ey) ** 2 + np.abs(fields_meas.Ez) ** 2\n",
        ")\n",
        "Emag_proj_noapprox = np.sqrt(\n",
        "    np.abs(fields_proj_noapprox.Ex) ** 2\n",
        "    + np.abs(fields_proj_noapprox.Ey) ** 2\n",
        "    + np.abs(fields_proj_noapprox.Ez) ** 2\n",
        ")\n",
        "Emag_proj_approx = np.sqrt(\n",
        "    np.abs(fields_proj_approx.Ex) ** 2\n",
        "    + np.abs(fields_proj_approx.Ey) ** 2\n",
        "    + np.abs(fields_proj_approx.Ez) ** 2\n",
        ")\n",
        "print(\n",
        "    f\"Normalized RMSE for |E|, no far field approximation: {rmse(Emag_meas.values, Emag_proj_noapprox.values) * 100:.2f} %\"\n",
        ")\n",
        "print(\n",
        "    f\"Normalized RMSE for |E|, with far field approximation: {rmse(Emag_meas.values, Emag_proj_approx.values) * 100:.2f} %\"\n",
        ")\n",
        "\n",
        "plt.show();"
      ],
      "id": "6ba43e7d"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Without approximations, the projected fields match the measured ones\n",
        "extremely well! Instead, when approximations are used, the match is very\n",
        "poor. Thus, the accurate field projections can be extremely useful when\n",
        "the projection distance is not large compared to the structure size, but\n",
        "one still wants to avoid simulating all the empty space around the\n",
        "structure.\n",
        "\n",
        "We should also note that this more accurate version of field projections\n",
        "can be run on the server in exactly the same way as before: just supply\n",
        "the projection monitor with its `far_field_approx` field set to `False`\n",
        "into the simulation’s list of `monitors` as before. Everything else\n",
        "remains exactly the same, as shown below."
      ],
      "id": "23e3d912-a686-4dc5-9d20-39ddba6ae385"
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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raIyzu3fvjh07dmD8+PFSQJWXl4dly5Zh2rRpuPTSS9GkSRM89dRTfscrStQh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          }
        }
      ],
      "source": [
        "sim4 = td.Simulation(\n",
        "    size=sim_size,\n",
        "    center=[0, 0, 0],\n",
        "    grid_spec=td.GridSpec.uniform(dl=wavelength / min_cells_per_wvl),\n",
        "    structures=geometry,\n",
        "    sources=[source],\n",
        "    monitors=[monitor_intermediate_proj],  # only need to supply the projection monitor\n",
        "    run_time=run_time,\n",
        "    boundary_spec=boundary_spec,\n",
        ")\n",
        "\n",
        "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(9, 3))\n",
        "sim4.plot(x=0, ax=ax1)\n",
        "sim4.plot(y=0, ax=ax2)\n",
        "plt.show();"
      ],
      "id": "4fa2e6f5"
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "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\">04:18:10 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'aperture_4'</span> with resource_id                         \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-6b35f63e-1e0b-4cb0-9bd7-7514e73916f0'</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-6b35f63e-1e0b-4cb0-9bd7-7514e73916f0\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-6b35f63e-1e0</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-6b35f63e-1e0b-4cb0-9bd7-7514e73916f0\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">b-4cb0-9bd7-7514e73916f0'</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\":\"d0944dc5a8f8415cb4a0ffa590857e9a\",\"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\">04:18:11 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.042</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\">04:18:12 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"f273c48257504afba5e1d7ba21bf1f18\",\"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\">04:18:13 UTC </span>Loading results from data/aperture_4.hdf5                          \n",
              "</pre>"
            ]
          }
        }
      ],
      "source": [
        "# run the simulation\n",
        "sim_data4 = web.run(sim4, task_name=\"aperture_4\", path=\"data/aperture_4.hdf5\", verbose=True)"
      ],
      "id": "b1a506b3"
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "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\">04:18:14 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",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Normalized RMSE for |E|, no far field approximation, computed on the server: 0.29 %\n",
            "\n",
            "Client-side field projection *without approximations* took 9.69 s\n",
            "Server-side field projection *without approximations* took 0.01 s"
          ]
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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l037729/i5z//eavb3H///Vi6dCkAYLvttsNBBx1U8PMkIiIiKhTHcfCPf/wD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\ni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QUXAGiKhtpll12w1VZboaKiotXIZc5Tc2PEa2HELd/3MaCV393z8L4WZj4SWJBINp9z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\nSTzk9iOkmJg9e3biB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fnnn8d///tflJWVwTRN/N///R/GjBmDQYMGoUuXLohE9Bcczzjj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\nduL4Ek5es7Frx1fHS9XdpYwnz4FibEOn0BMnPPk8rIiIJ2rVc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58+iZgoHo8nYqJvv/0W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SXbt2TRlj+vTpGDp0KIYOHYqnn37aczt/+ctf8OCDDwIATj75ZDz55JPKisB0rFixApdccgne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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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i95133sFnn32GYcOGIRqNwu/34/PPP8cxxxyT7qETERER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voKgPme4xlkuMpVHYWUFxjGq1daI+5K7GMTSaO+U1SLx3UmtvMkk666F4O0LyiRkzZuCoo47C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\nsKt+HbpU0Xo2y5xlVJ1cmixj65JEbJ3cnyF+XmRsXY6IrcuWsXUZIs4uOTy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1kOQNBkWJ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1wq+fn52u23365lZWVZzgtAS0pK0kaPHq0tX77ccsx1111nOe/MmTO1du3aWY4tKSkx2s+Y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\nRK5CYII=\n"
          }
        }
      ],
      "source": [
        "# extract the projected fields as before and plot them\n",
        "projected_field_data_server = sim_data4[monitor_intermediate_proj.name]\n",
        "\n",
        "# plot the actual measured fields from the previous simulation\n",
        "fields_meas = sim_data3[monitor_intermediate.name].colocate(x=xs, z=ys)\n",
        "make_cart_plot(\n",
        "    ys,\n",
        "    xs,\n",
        "    fields_meas.Ex.isel(f=0, y=0),\n",
        "    fields_meas.Ey.isel(f=0, y=0),\n",
        "    fields_meas.Ez.isel(f=0, y=0),\n",
        ")\n",
        "plt.suptitle(\"Measured fields\")\n",
        "\n",
        "# projected field without approximations computed on the server\n",
        "fields_proj_noapprox = projected_field_data_server.fields_cartesian\n",
        "make_cart_plot(\n",
        "    ys,\n",
        "    xs,\n",
        "    fields_proj_noapprox.Ex.isel(f=0, y=0),\n",
        "    fields_proj_noapprox.Ey.isel(f=0, y=0),\n",
        "    fields_proj_noapprox.Ez.isel(f=0, y=0),\n",
        ")\n",
        "plt.suptitle(\"Projected, no approximations, computed on the server\")\n",
        "\n",
        "# RMSE\n",
        "Emag_proj_server = np.sqrt(\n",
        "    np.abs(fields_proj_noapprox.Ex) ** 2\n",
        "    + np.abs(fields_proj_noapprox.Ey) ** 2\n",
        "    + np.abs(fields_proj_noapprox.Ez) ** 2\n",
        ")\n",
        "print(\n",
        "    f\"Normalized RMSE for |E|, no far field approximation, computed on the server: {rmse(Emag_meas.values, Emag_proj_server.values) * 100:.2f} %\\n\"\n",
        ")\n",
        "\n",
        "# use the simulation log to find the time taken for server-side computations\n",
        "server_time = float(sim_data4.log.split(\"Field projection time (s):    \", 1)[1].split(\"\\n\", 1)[0])\n",
        "print(f\"Client-side field projection *without approximations* took {proj_time_new:.2f} s\")\n",
        "print(f\"Server-side field projection *without approximations* took {server_time:.2f} s\")\n",
        "\n",
        "plt.show();"
      ],
      "id": "1b0c73be"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Again we get an excellent match, an even smaller error than the\n",
        "client-side computations, and over an order of magnitude speed-up!\n",
        "\n",
        "### Reciprocal space monitor <a name=\"kspace\"></a>\n",
        "\n",
        "In addition to\n",
        "[FieldProjectionAngleMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjectionAngleMonitor.html)\n",
        "and\n",
        "[FieldProjectionCartesianMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjectionCartesianMonitor.html),\n",
        "one can also define the far field observation grid in reciprocal space\n",
        "using\n",
        "[FieldProjectionKSpaceMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjectionKSpaceMonitor.html).\n",
        "\n",
        "To demonstrate, we’ll compute the far field associated with a Gaussian\n",
        "beam propagating at an angle."
      ],
      "id": "7ccb0572-bb59-4cc1-b92d-62db1843cd0f"
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {},
      "outputs": [],
      "source": [
        "# create the Gaussian beam source positioned the same as the plane wave source above\n",
        "gaussian_beam = td.GaussianBeam(\n",
        "    center=(0, 0, -0.1 * wavelength),\n",
        "    size=(td.inf, td.inf, 0),\n",
        "    source_time=gaussian,\n",
        "    direction=\"+\",\n",
        "    pol_angle=0,\n",
        "    angle_theta=np.pi / 6,  # angles are with respect to the source plane's normal axis\n",
        "    angle_phi=np.pi / 4,  # angles are with respect to the source plane's normal axis\n",
        "    waist_radius=2 * wavelength,\n",
        "    waist_distance=-wavelength * 4,\n",
        ")"
      ],
      "id": "04c01e27"
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </span>\n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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UZmam/vrXv9rdHMQZoQQAgFZmy5YtWrdunb755hv98Y9/1Kuvviqp6p6K3/3u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\n"
          }
        }
      ],
      "source": [
        "# create the k-space far field projection monitor\n",
        "monitor_far = td.FieldProjectionKSpaceMonitor(\n",
        "    center=[0, 0, 0],\n",
        "    size=[td.inf, td.inf, 0],\n",
        "    freqs=[f0],\n",
        "    name=\"far_field\",\n",
        "    ux=list(np.linspace(-0.7, 0.7, 100)),\n",
        "    uy=list(np.linspace(-0.7, 0.7, 100)),\n",
        "    proj_distance=50 * wavelength,\n",
        "    proj_axis=2,  # projecting in the +y direction\n",
        "    far_field_approx=True,  # use far field approximations\n",
        ")\n",
        "\n",
        "# create a simulation with the new source and monitor, and no PEC sheet\n",
        "sim5 = td.Simulation(\n",
        "    size=[10 * wavelength, 10 * wavelength, 7 * wavelength],\n",
        "    center=[0, 0, 0],\n",
        "    grid_spec=td.GridSpec.uniform(dl=wavelength / min_cells_per_wvl),\n",
        "    structures=[],  # no PEC plate\n",
        "    sources=[gaussian_beam],\n",
        "    monitors=[monitor_far],\n",
        "    run_time=run_time,\n",
        "    boundary_spec=boundary_spec,\n",
        ")\n",
        "\n",
        "fig, (ax) = plt.subplots(1, 1, figsize=(7, 3))\n",
        "sim5.plot(y=0, ax=ax)\n",
        "plt.show();"
      ],
      "id": "8d40e37c"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Run simulation"
      ],
      "id": "93c6d16a-82ef-4c66-98db-35a30f9b9378"
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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\">04:18:15 UTC </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'kspace_monitor'</span> with resource_id                     \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-dae50dfe-5fef-410d-9fce-fa00c92d4be6'</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-dae50dfe-5fef-410d-9fce-fa00c92d4be6\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-dae50dfe-5fe</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-dae50dfe-5fef-410d-9fce-fa00c92d4be6\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">f-410d-9fce-fa00c92d4be6'</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\":\"dd800cdcaaca413ebb0d5f70ab265c29\",\"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\">04:18:16 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.198</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\">04:18:17 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"29b1566d47d3480c8d9c30a9e69ede39\",\"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\">04:18:18 UTC </span>Loading results from data/kspace_monitor.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: Monitor far_field projects to a distance comparable to the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">size of the monitor; we recommend setting                          </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">``</span><span style=\"color: #808000; text-decoration-color: #808000\">far_field_approx</span><span style=\"color: #800000; text-decoration-color: #800000\">=</span><span style=\"color: #ff0000; text-decoration-color: #ff0000; font-style: italic\">False</span><span style=\"color: #800000; text-decoration-color: #800000\">`` to disable far-field approximations for </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this monitor, because the approximations are valid only when the   </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">observation points are very far compared to the size of the monitor</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">that records near fields.                                          </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: 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": [
        "sim_data5 = web.run(sim5, task_name=\"kspace_monitor\", path=\"data/kspace_monitor.hdf5\", verbose=True)"
      ],
      "id": "21c318ae"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Plot and compare\n",
        "\n",
        "Extract and plot the fields. We use a polar plot, and observe that the\n",
        "far field spot is located along the `phi=45 deg` line, as expected. The\n",
        "angle `theta` is expected to be near `30 deg`, which is nearly what is\n",
        "observed in the plot. The small deviation is due to the way the fields\n",
        "are plotted - a better way would be to project the fields\n",
        "orthographically on the surface of a sphere prior to plotting."
      ],
      "id": "52486b3d-692f-4d8f-9b9e-af526033c173"
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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g4+OD2bNnw9fXl70IiIgMSK1W48iRI/j+++9x7do1AEnjbL/77juMGjUKDg7G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\nYcMGbdmyRfH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          }
        }
      ],
      "source": [
        "# extract the computed projected fields\n",
        "far_data = sim_data5[monitor_far.name]\n",
        "\n",
        "# We can compute the theta and phi angles associated with the given reciprocal coordinates\n",
        "coords = far_data.coords_spherical\n",
        "theta = coords[\"theta\"]\n",
        "phi = coords[\"phi\"]\n",
        "\n",
        "# plot\n",
        "Etheta = far_data.Etheta.isel(f=0, r=0)\n",
        "fig, ax = plt.subplots(1, 1, tight_layout=True, figsize=(7, 5), subplot_kw={\"projection\": \"polar\"})\n",
        "ax.grid(False)\n",
        "# im = ax.pcolormesh(np.squeeze(phi), np.squeeze(theta) * 180 / np.pi, np.abs(Etheta), cmap='RdBu', shading='auto')\n",
        "im = ax.pcolormesh(\n",
        "    np.squeeze(phi),\n",
        "    np.squeeze(theta) * 180 / np.pi,\n",
        "    np.abs(Etheta),\n",
        "    cmap=\"RdBu\",\n",
        "    shading=\"auto\",\n",
        ")\n",
        "fig.colorbar(im, ax=ax)\n",
        "_ = ax.set_xlabel(r\"$\\phi$ (deg)\")\n",
        "\n",
        "label_position = ax.get_rlabel_position()\n",
        "_ = ax.text(\n",
        "    np.radians(label_position - 8),\n",
        "    ax.get_rmax() / 1.3,\n",
        "    \"$\\\\theta$ (deg)\",\n",
        "    rotation=label_position,\n",
        "    ha=\"center\",\n",
        "    va=\"center\",\n",
        ")\n",
        "\n",
        "plt.show();"
      ],
      "id": "2d3e3a34"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Far Field for a Finite-Sized Structure\n",
        "\n",
        "The above examples are very useful when simulating thin structure with a\n",
        "large extent in the lateral direction, such as a metasurface or\n",
        "metalens. If the structure is small enough, we may instead want to\n",
        "enclose it in a closed surface, which now serves as an equivalent\n",
        "surface in the spirit of the equivalence principle, without having to\n",
        "worry about whether the fields decay at the monitor’s edges or not. To\n",
        "learn more, see the [sphere radar cross\n",
        "section](https://www.flexcompute.com/tidy3d/examples/notebooks/Near2FarSphereRCS/)\n",
        "and [plasmonic\n",
        "nanoparticle](https://www.flexcompute.com/tidy3d/examples/notebooks/PlasmonicNanoparticle/)\n",
        "case studies.\n",
        "\n",
        "### Notes <a name=\"notes\"></a>\n",
        "\n",
        "- Since field projections rely on the surface equivalence principle, we\n",
        "  have assumed that the tangential near fields recorded on the near\n",
        "  field monitor serve as equivalent sources which generate the correct\n",
        "  far fields. However, this requires that the field strength decays\n",
        "  nearly to zero near the edges of the near-field monitor, which may not\n",
        "  always be the case. For example, if we had used a larger aperture\n",
        "  compared to the full simulation size in the transverse direction, we\n",
        "  may expect a degradation in the accuracy of the field projections.\n",
        "  Despite this limitation, the field projections are still remarkably\n",
        "  accurate in realistic scenarios. For realistic case studies further\n",
        "  demonstrating the accuracy of the field projections, see our\n",
        "  [metalens](https://www.flexcompute.com/tidy3d/examples/notebooks/Metalens/)\n",
        "  and [zone\n",
        "  plate](https://www.flexcompute.com/tidy3d/examples/notebooks/ZonePlateFieldProjection/)\n",
        "  case studies.\n",
        "- The field projections make use of the analytical homogeneous medium\n",
        "  Green’s function, which assumes that the fields are propagating in a\n",
        "  homogeneous medium. Therefore, one should use PMLs / absorbers as\n",
        "  boundary conditions in the part of the domain where fields are\n",
        "  projected. For far field projections in the context of periodic\n",
        "  boundary conditions, see the [diffraction efficiency\n",
        "  example](https://www.flexcompute.com/tidy3d/examples/notebooks/GratingEfficiency/),\n",
        "  which demonstrates the use of a\n",
        "  [DiffractionMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.DiffractionMonitor.html).\n",
        "- Server-side field projections will add to the monetary cost of the\n",
        "  simulation. However, typically the far field projections have a very\n",
        "  small computation cost compared to the FDTD simulation itself, so the\n",
        "  increase in monetary cost should be negligibly small in most cases."
      ],
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