Autograd5BoundaryGradients.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "efd36345-384e-48fc-b44d-bd01bf9cda15",
   "metadata": {},
   "source": [
    "# Inverse design optimization of a waveguide taper\n",
    "\n",
    "> Note: native autograd support is an experimental feature in tidy3d 2.7. To see the original implementation of this notebook using jax and the adjoint plugin, refer to [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin5BoundaryGradients/).\n",
    "\n",
    "In this notebook, we will show how to use tidy3d to optimize a taper with respect to the boundaries of a structure defined using a `PolySlab`.\n",
    "\n",
    "We will apply this capability to design a non-adiabatic waveguide taper between a narrow and wide waveguide, based loosely on `Michaels, Andrew, and Eli Yablonovitch. \"Leveraging continuous material averaging for inverse electromagnetic design.\" Optics express 26.24 (2018): 31717-31737`.\n",
    "\n",
    "<img src=\"img/adjoint_5.png\" width=400 alt=\"Schematic of the waveguide taper\">\n",
    "\n",
    "We start by importing our typical python packages, plus `tidy3d` and `autograd`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5cc1f2bd-ace7-449f-8260-926f76d0ea53",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pylab as plt\n",
    "import numpy as np\n",
    "\n",
    "import autograd as ag\n",
    "import autograd.numpy as anp\n",
    "\n",
    "import tidy3d as td\n",
    "import tidy3d.web as web"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c95884d-328d-4834-8869-ec50262ce306",
   "metadata": {},
   "source": [
    "## Set up\n",
    "\n",
    "Next we will define some basic parameters of the waveguide, such as the input and output waveguide dimensions, taper width, and taper length."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e6f5cf37-ac64-4ab3-9659-6ad92994a22c",
   "metadata": {},
   "outputs": [],
   "source": [
    "wavelength = 1.0\n",
    "freq0 = td.C_0 / wavelength\n",
    "\n",
    "wg_width_in = 0.5 * wavelength\n",
    "wg_width_out = 5.0 * wavelength\n",
    "\n",
    "wg_medium = td.material_library[\"Si3N4\"][\"Philipp1973Sellmeier\"]\n",
    "\n",
    "wg_length = 1 * wavelength\n",
    "taper_length = 10.0\n",
    "\n",
    "spc_pml = 1.5 * wavelength\n",
    "\n",
    "Lx = wg_length + taper_length + wg_length\n",
    "Ly = spc_pml + max(wg_width_in, wg_width_out) + spc_pml"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d31afd9e-2b8c-4205-859e-a0c6ca476937",
   "metadata": {},
   "source": [
    "Our taper is defined as a set of `num_points` connected vertices in a polygon. We define the fixed x positions of each vertex and then construct the y positions for the starting device (linear taper)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2e069d59-6040-476b-92cb-46520184c156",
   "metadata": {},
   "outputs": [],
   "source": [
    "num_points = 101\n",
    "x_start = -taper_length / 2\n",
    "x_end = +taper_length / 2\n",
    "xs = np.linspace(x_start, x_end, num_points)\n",
    "\n",
    "ys0 = (\n",
    "    wg_width_in + (wg_width_out - wg_width_in) * (xs - x_start) / (x_end - x_start)\n",
    ") / 2.0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "88500eef-64a9-491c-8131-ff41ccf442ff",
   "metadata": {},
   "source": [
    "Let's plot these points to make sure they seem reasonable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "65d8bf65-53c7-4820-b396-cc9e7a19b72b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(xs, +ys0, \"ko-\")\n",
    "plt.plot(xs, -ys0, \"ko-\")\n",
    "plt.xlabel(\"x\")\n",
    "plt.ylabel(\"y\")\n",
    "plt.title(\"taper points\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ecfdad5-32f7-47a2-b872-5ed70260268c",
   "metadata": {},
   "source": [
    "Let's wrap this in a function that constructs these points and then creates a `td.PolySlab` for use in the `td.Simulation`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3b82f941-9c95-4993-96c5-01d7d194383e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_taper(ys) -> td.PolySlab:\n",
    "    \"\"\"Create a PolySlab for the taper based on the supplied y values.\"\"\"\n",
    "    vertices = anp.concatenate(\n",
    "        [\n",
    "            anp.column_stack((xs, ys)),\n",
    "            anp.column_stack((xs[::-1], -ys[::-1])),\n",
    "        ]\n",
    "    )\n",
    "    return td.PolySlab(vertices=vertices, slab_bounds=(-td.inf, +td.inf), axis=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ed7c2e7-9cf9-4588-9d5a-18c123b4f4d2",
   "metadata": {},
   "source": [
    "Now we'll call this function and plot the geometry for a sanity check."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "aa8ecb67-5d7e-4bab-b563-06ffc59a5167",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# sanity check to see the polyslab\n",
    "taper_geo = make_taper(ys0)\n",
    "ax = taper_geo.plot(z=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be1105e9-bffb-4eca-8e8d-7802428f8e0f",
   "metadata": {},
   "source": [
    "Next, let's write a function that generates a `td.Simulation` given a set of y coordinates for the taper, including the monitors, sources, and waveguide geometries. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "a773bf03-5cf6-416c-a982-cc223cdc05d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_sim(ys, include_field_mnt: bool = False) -> td.Simulation:\n",
    "    \"\"\"Make a td.Simulation containing the taper.\"\"\"\n",
    "\n",
    "    wg_in_box = td.Box.from_bounds(\n",
    "        rmin=(-Lx, -wg_width_in / 2, -td.inf),\n",
    "        rmax=(-Lx / 2 + wg_length + 0.01, +wg_width_in / 2, +td.inf),\n",
    "    )\n",
    "\n",
    "    wg_out_box = td.Box.from_bounds(\n",
    "        rmin=(+Lx / 2 - wg_length - 0.01, -wg_width_out / 2, -td.inf),\n",
    "        rmax=(+Lx, +wg_width_out / 2, +td.inf),\n",
    "    )\n",
    "\n",
    "    taper_geo = make_taper(ys)\n",
    "\n",
    "    wg_in = td.Structure(geometry=wg_in_box, medium=wg_medium)\n",
    "    wg_out = td.Structure(geometry=wg_out_box, medium=wg_medium)\n",
    "    taper = td.Structure(geometry=taper_geo, medium=wg_medium)\n",
    "\n",
    "    mode_source = td.ModeSource(\n",
    "        center=(-Lx / 2 + wg_length / 2, 0, 0),\n",
    "        size=(0, td.inf, td.inf),\n",
    "        source_time=td.GaussianPulse(freq0=freq0, fwidth=freq0 / 10),\n",
    "        direction=\"+\",\n",
    "    )\n",
    "\n",
    "    mode_monitor = td.ModeMonitor(\n",
    "        center=(+Lx / 2 - wg_length / 2, 0, 0),\n",
    "        size=(0, td.inf, td.inf),\n",
    "        freqs=[freq0],\n",
    "        mode_spec=td.ModeSpec(),\n",
    "        name=\"mode\",\n",
    "    )\n",
    "\n",
    "    field_monitor = td.FieldMonitor(\n",
    "        center=(0, 0, 0),\n",
    "        size=(td.inf, td.inf, 0),\n",
    "        freqs=[freq0],\n",
    "        name=\"field\",\n",
    "    )\n",
    "\n",
    "    return td.Simulation(\n",
    "        size=(Lx, Ly, 0),\n",
    "        structures=[taper, wg_in, wg_out],\n",
    "        monitors=[mode_monitor, field_monitor] if include_field_mnt else [mode_monitor],\n",
    "        sources=[mode_source],\n",
    "        run_time=100 / freq0,\n",
    "        grid_spec=td.GridSpec.auto(min_steps_per_wvl=20),\n",
    "        boundary_spec=td.BoundarySpec.pml(x=True, y=True, z=False),\n",
    "        symmetry=(0, +1, 0),\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "b172f34b-7eb0-4562-8f56-fc3a8dddc6c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim = make_sim(ys0)\n",
    "ax = sim.plot(z=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93fe3cdc-b7dc-4d99-8098-efef06eb11c2",
   "metadata": {},
   "source": [
    "## Defining Objective\n",
    "\n",
    "Now that we have a function to create our `td.Simulation`, we need to define our objective function.\n",
    "\n",
    "We will try to optimize the power transmission into the fundamental mode on the output waveguide, so we write a function to postprocess a `td.SimulationData` to give this result."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "cedf9565-02e0-441d-a485-12e15235de44",
   "metadata": {},
   "outputs": [],
   "source": [
    "def measure_transmission(sim_data: td.SimulationData) -> float:\n",
    "    \"\"\"Measure the first order transmission.\"\"\"\n",
    "    amp_data = sim_data[\"mode\"].amps\n",
    "    amp = amp_data.sel(f=freq0, direction=\"+\", mode_index=0).values\n",
    "    return anp.sum(abs(amp) ** 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ddb0e8e-2927-4ff4-8d8a-41a141fd8702",
   "metadata": {},
   "source": [
    "Next, we will define a few convenience functions to generate our taper `y` values passed on our objective function parameters.\n",
    "\n",
    "We define a set of parameters that can range from -infinity to +infinity, but project onto the range [`wg_width_out` and `wg_width_in`] through a `tanh()` function.\n",
    "\n",
    "We do this to constrain the taper values within this range in a smooth and differentiable way.\n",
    "\n",
    "We also write an inverse function to get the parameters given a set of desired `y` values and assert that this function works properly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "b014fa68-37df-40e6-88a7-60e572dd55e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_ys(parameters: np.ndarray) -> np.ndarray:\n",
    "    \"\"\"Convert arbitrary parameters to y values for the vertices (parameter (-inf, inf) -> wg width of (wg_width_out, wg_width_in).\"\"\"\n",
    "\n",
    "    params_between_0_1 = (anp.tanh(np.pi * parameters) + 1.0) / 2.0\n",
    "\n",
    "    params_scaled = params_between_0_1 * (wg_width_out - wg_width_in) / 2.0\n",
    "    ys = params_scaled + wg_width_in / 2\n",
    "    return ys\n",
    "\n",
    "\n",
    "def get_params(ys: np.ndarray) -> np.ndarray:\n",
    "    \"\"\"inverse of above, get parameters from ys\"\"\"\n",
    "    params_scaled = ys - wg_width_in / 2\n",
    "    params_between_0_1 = 2 * params_scaled / (wg_width_out - wg_width_in)\n",
    "    tanh_pi_params = 2 * params_between_0_1 - 1\n",
    "    params = np.arctanh(tanh_pi_params) / np.pi\n",
    "    return params\n",
    "\n",
    "\n",
    "# assert that the inverse function works properly\n",
    "params_test = 2 * (np.random.random((10,)) - 0.5)\n",
    "ys_test = get_ys(params_test)\n",
    "assert np.allclose(get_params(ys_test), params_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6fe8c364-eb73-402d-9c49-70d298a4dfbc",
   "metadata": {},
   "source": [
    "We then make a function that simply wraps our previously defined functions to generate a `Simulation` given some parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "11f727a5-6c57-413c-ac36-35fb68b8db74",
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_sim_params(\n",
    "    parameters: np.ndarray, include_field_mnt: bool = False\n",
    ") -> td.Simulation:\n",
    "    \"\"\"Make the simulation out of raw parameters.\"\"\"\n",
    "    ys = get_ys(parameters)\n",
    "    return make_sim(ys, include_field_mnt=include_field_mnt)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69d64efc-219f-48d5-8317-71cabd3c0686",
   "metadata": {},
   "source": [
    "### Smoothness Penalty\n",
    "\n",
    "It is important to ensure that the final device does not contain feature sizes below a minimum radius of curvature, otherwise there could be considerable difficulty in fabricating the device reliably.\n",
    "\n",
    "For this, the autograd plugin introduces  a penalty function that approximates the radius of curvature about each vertex and introduces a significant penalty to the objective function if that value is below a minimum radius of curvature.\n",
    "\n",
    "The local radii are determined by fitting a quadratic Bezier curve to each set of 3 adjacent points in the taper and analytically computing the radius of curvature from that curve fit. The details of this calculation are described in the paper linked at the introduction of this notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "c9e306ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tidy3d.plugins.autograd import make_curvature_penalty\n",
    "\n",
    "curvature_penalty = make_curvature_penalty(min_radius=0.15)\n",
    "\n",
    "\n",
    "def penalty(params: np.ndarray) -> float:\n",
    "    \"\"\"Compute penalty for a set of parameters.\"\"\"\n",
    "    ys = get_ys(params)\n",
    "    points = anp.array([xs, ys]).T\n",
    "    return curvature_penalty(points)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54f681ab-f956-40bc-a838-542ea9484ef0",
   "metadata": {},
   "source": [
    "### Initial Starting Design\n",
    "\n",
    "As our initial design, we take a linear taper between the two waveguides. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "2c9c15e4-ec99-4e87-8bf5-665fddad0859",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# desired ys\n",
    "ys0 = np.linspace(wg_width_in / 2 + 0.001, wg_width_out / 2 - 0.001, num_points)\n",
    "\n",
    "# corresponding parameters\n",
    "params0 = get_params(ys0)\n",
    "\n",
    "# make the simulation corresponding to these parameters\n",
    "sim = make_sim_params(params0, include_field_mnt=True)\n",
    "ax = sim.plot(z=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b135ce1-1ed7-4131-b8ca-fd8a1e483c66",
   "metadata": {},
   "source": [
    "Lets get the penalty value corresponding to this design, which is 0 because the edges are straight (infinite radius of curvature)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "83cad184-38ce-4d1c-b4db-2d06e1a5526d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "starting penalty = 0.00e+00\n"
     ]
    }
   ],
   "source": [
    "penalty_value = penalty(params0)\n",
    "print(f\"starting penalty = {float(penalty_value):.2e}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afc2768c-345d-40de-8126-b7cedf4e4a71",
   "metadata": {},
   "source": [
    "Finally, let's run this simulation to get a feeling for the initial device performance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "b12af10e-0d9c-4001-a353-b0edc286e592",
   "metadata": {},
   "outputs": [
    {
     "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\">10:44:15 EST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'taper fields'</span> with task_id                           \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-e1fca213-0f3a-4bb6-b99a-0fdf73dec837'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:44:15 EST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'taper fields'\u001b[0m with task_id                           \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-e1fca213-0f3a-4bb6-b99a-0fdf73dec837'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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-e1fca213-0f3a-4bb6-b99a-0fdf73dec837\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-e1fca213-0f3</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-e1fca213-0f3a-4bb6-b99a-0fdf73dec837\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">a-4bb6-b99a-0fdf73dec837'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=872829;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e1fca213-0f3a-4bb6-b99a-0fdf73dec837\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=840692;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e1fca213-0f3a-4bb6-b99a-0fdf73dec837\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=872829;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e1fca213-0f3a-4bb6-b99a-0fdf73dec837\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=989910;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e1fca213-0f3a-4bb6-b99a-0fdf73dec837\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=872829;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e1fca213-0f3a-4bb6-b99a-0fdf73dec837\u001b\\\u001b[32m-e1fca213-0f3\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=872829;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e1fca213-0f3a-4bb6-b99a-0fdf73dec837\u001b\\\u001b[32ma-4bb6-b99a-0fdf73dec837'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6971ffb9f25649d4a2cfad9c10754b8a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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\">10:44:16 EST </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:44:16 EST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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\">10:44:20 EST </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:44:20 EST\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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\">10:44:23 EST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>the billed FlexCredit cost after a simulation run.                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:44:23 EST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get\n",
       "\u001b[2;36m             \u001b[0mthe billed FlexCredit cost after a simulation run.                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1557e123d4054abab24b68015e4e32cc",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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\">10:44:27 EST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">40</span>%, exiting.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:44:27 EST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m40\u001b[0m%, exiting.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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\">10:44:29 EST </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:44:29 EST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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 simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-e1fca213-0f3a-4bb6-b99a-0fdf73dec837\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-e1fca213-0f3</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-e1fca213-0f3a-4bb6-b99a-0fdf73dec837\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">a-4bb6-b99a-0fdf73dec837'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=523591;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e1fca213-0f3a-4bb6-b99a-0fdf73dec837\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=701292;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e1fca213-0f3a-4bb6-b99a-0fdf73dec837\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=523591;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e1fca213-0f3a-4bb6-b99a-0fdf73dec837\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=550808;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e1fca213-0f3a-4bb6-b99a-0fdf73dec837\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=523591;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e1fca213-0f3a-4bb6-b99a-0fdf73dec837\u001b\\\u001b[4;34m-e1fca213-0f3\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=523591;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e1fca213-0f3a-4bb6-b99a-0fdf73dec837\u001b\\\u001b[4;34ma-4bb6-b99a-0fdf73dec837'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e0fca27b34f44b1593f0d5a95eccfe1a",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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\">10:44:32 EST </span>loading simulation from simulation_data.hdf5                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:44:32 EST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data = web.run(sim, task_name=\"taper fields\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b991b676-1a04-49d3-b109-09562e0371c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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+9a/n+uuvX2ixv8x2/+pf/St+//d/nx/4gR/g3e9+N1/7tV+L1ppPfvKT/P7v/z7veMc7eMxjHsMDHvAAfuqnfoqf/umf5glPeALPec5zaDQafPCDH+S6667jNa95DQCPfvSjecMb3sDP/MzP8IAHPICrrrqqMueoI4oifv7nf57v/u7v5qabbuJ5z3teVVrhvve9L//6X//r3X5sE/iar/kazpw5w/Of/3x+5Ed+BCEEb3nLW2Y+/Dz60Y/mrW99Ky996Ut57GMfS7fb5VnPetbM/f7Ij/wI99xzDy972cv4vd/7vYl1D3/4w3n4wx8O7C6X6Prrr+clL3kJr33ta8nznMc+9rG87W1v4y/+4i/47d/+7YmQspe//OX85m/+Jl/4whe4733vC7jJ86u/+qv57u/+bj7+8Y9zxRVX8PrXvx6tNTfffPNEX6997Wt59rOfzdOe9jSe+9zn8rGPfYxf+7Vf4/u+7/u2lXbw8PDwOG7w87ifx/087uFxALgYltQeh4svfvGL9ju/8zvtlVdeaRuNhr3//e9vX/ziF9s0Ta2149IKs8ovWOtKKTz4wQ+2URTZq6++2r7oRS+yFy5cqNZ//vOft9/zPd9jb7zxRttsNu1ll11mn/SkJ9l3vvOdVZv/83/+j/2Gb/gGe91119k4ju11111nn/e859lPf/rTC8e+7HZZltmf//mftw95yENso9GwZ86csY9+9KPtzTffbDc3Nyfa/sZv/Ib9yq/8yqrdTTfdZP/8z/+8Wn/nnXfaZz7zmXZtbc0CVZmF6dIKJd761rdW+7vsssvst3/7t9tbb711os3zn/982+l0th3fq171KrvM1/D973+//eqv/mrbarXsddddZ1/2spfZd7zjHdvG0+/37bd927fZ06dPW2BhmYWbbrppbpmEV73qVTuOaSdore2///f/3t5www02jmP7kIc8xP63//bftrUry0584QtfmFh+/vx5+73f+7328ssvt+122950001zr9E//MM/tI985CNto9Gw119/vX3FK15hsyzb8zF4eHh4HAX4edzP47Pg53EPj91DWLtDLI2Hh4eHh4eHh4eHh4eHxyUCnxPs4eHh4eHh4eHh4eHhcWLgSbCHh4eHh4eHh4eHh4fHiYEnwR4eHh4eHh4eHh4eHh4nBp4Ee3h4eHh4eHh4eHh4eJwYeBLs4eHh4eHh4eHh4eHhcWLgSbCHh4eHh4eHh4eHh4fHiUF4sQdwmDDGcPvtt7O2toYQ4mIPx8PDw2PfYa2l1+tx3XXXIeXBvec0xmCMIQxP1DTicZHh53EPD49LHYc1j1trUUoRRdGB9XGUcaKeXm6//Xbufe97X+xheHh4eBw4vvSlL3H99dcf2P6j674Sc88nuOuOW7nqqqsOrB8Pjzr8PO7h4XFScNDz+C+89kW88t/9Bp/61Ke5733ve2D9HFUIa6292IM4LGxubnL69Gk+89nPsra2tvL2YoVTZXf5hvoo9XFUj+G4j383/exHf4uwm7GUOC7n4FLsa7ofKwS9Xo8ve8AD2NjY4NSpUyvvcxnceuut3PuG+0FjHdm5Cn3PJw6kHw+PaZTzuMvm8kqwh4fHpQgLmAOdx8+dO8eNN97A/e9/HQ9+8H34nd9554H0c5RxopTgMnRqbW2NUzuQ4IMkZ4fdz1Ekg7slXftBAvdC+GZhr2Pa63gOm4Tutd/D/uxPAvmd2eYAQ0Xv84gnIdbvTXDNI1Gf+mM+9alP8aAHPejA+vPwKDG+rgWeBHt4eFzKOMh5/Jaf/gG++qsfwhv/07/hK778O/nQhz7EYx7zmAPr7yjixBpjWSGqn1kQ1u6KbO6GDK7a105j3y/U+1n2fC37s1vsB4Hdz/N20J/BQWIvZPQ4EODdXmvHoa+Lib/927/FXvgCwbWPRjRPIy97AF/+uKdd1DF5eHh4eHh4LIfPf/7z/Pp/+mNe83Mv5N73voof+uHn8GM//gJOUHAwcIJJsIeHh4fH6njk4/858ooHIxoumkZe80hs73be9773XeSReXh4eHh4eOyEl7/8+3juc5/Mwx9+IwA/+ZPfxsf+7vP8r//1vy7yyA4XJyoceh72Uw3eC3aT63oxlMid+rzYStUysELsyziFtRdVDT7OSrTH8cOf//mfY4f3ENxwU7VMRG3kVQ/jnz79Oej+Xd6x18PDw8PD44ji//2//8ef/Mlf8olP/la17NSpLq/4d9/Jy172Yp7+9KefmKoPXgkusJ8huweNgww33g8cRqj2fuA4jHEnHKec3sPGYX6+l/q5BNBa87RnPxd59cMRYWNinbzyIdisz3//7//9Io3Ow8PDw8PDYxGstfybH3sBP/qSb+Ze97pyYt33f/+zyTLFf/2vP3mRRnf4OJEk+KiRxoPAUTi+gyLD+3lMR8Fo62Ibax1mn8cll/iw+jrK/Uyjcf8ngs6QV3z5tnUiiAiufRTf+h3fS5Zlhz84Dw8PDw8Pj4X44z/+Yz71yX/kx3/8udvWxXHEz/7sC3j1q99Ev9+/CKM7fJxIEnwScTFJ8VEnw/sxvr2O5WIRm4vhLH0cFPijTroP+xyORiP0HR8huPZRCDk7TEpc9gCQAa37/9NDHZuHh8d2CP/vkvrn4bFXKKX4iZ/4Yf7dK7+T9fXOzDbP+aZ/yg33vYb/8Is/fMijuzjwJNjDw8PDYyG6Nz4BwhbizP3nthFCElz7GMydf83GxsbhDc7Dw8PDw8NjIX7911+GtfCCFzxrbhshBL/wCz/AL/6Ht3LnnXce4uguDjwJvtiwZn9/lsSqyrC1q/9s28dOiusuj3He+Fcd48yx7cP5XqX/uedniXOw6HNc9BEfRXO1WTjMMkRlfx6Q5znmrr8luO4xO5peifXrEc0zvOENbzik0Xl4eNVz1j+PSwsX+3ry19vxx8/+7Fv46Z/+XqJosenV137tw3jykx/FL/7Svz6kkV08HFsS/HM/93MIIXjJS16yPzvcbzK6z6R1X49jBnYixEK4n5WGMofw7Tn8eMZx7Dp8dSciLHb4ikyNZdY5XMj7d8uzViTh5f+LXlDspq/jGAJ+0LjUcoOVUmByZOdKhAwW/sggRLQv5+zZs4cyNo/jjb3O4yfqAbychP3P7n88DgyePB99nD27xSMefn8wZsefRzziRs6fa1/sIR84jqUH9gc/+EH+03/6Tzz84Q/f+872SkR3IkkH3f9+9Vk7jjqxmX7QFmL3xK3crtxlue+qv3IMy56Tsl2xXbmfar9LjnXWuCbInZA7j8mabeewfu4WjWXH/lfst9zHor6t3f5MMLff8vin+qr3eZiEdjf97bYk1m6PbdX+LnaprWUghETIYIl2R/s4PI4G9nUePy7w342Li928yfc4UAgEFn+eDw0l0d0JJ+TaP3ZKcL/f59u//dv5z//5P3PmzJmD60jI5X6OSz87YY5SPEsh3utL1R2V4VWPeYEqvMo4dxzTiuPYC1ZSpJfod9Z5WFkRXtDXcXCLPuokczc41JcPO6jA5c+h3K88jjUObR6/mPBK5PGH/8wOHJ4AHzLsziowxngSfFTx4he/mGc+85k89alP3bFtmqZsbW1N/Hh4eHh4rI7lSbB/cPRYDD+Pe3h4eFwEWGYb1Cxj7HMJ4liFQ//e7/0eH/nIR/jgBz+4VPvXvOY13HzzzYsbHRfVYt44DyqveEa/s8KNq0128X1ZKjx6D6HR0+NcNjR67jP8imHRq4ZnT/e9q7DssumM8Nq9hLIv0/dxCOndDY56SPRuQ71XhQgCRODDoT32hgOZx48a/HfAw2NHeBX4IsCHQ0/gmDBA+NKXvsSP/uiP8tu//ds0m82ltnn5y1/O5uZm9fOlL31p38ZThsse9M+OOOjQ6Rlh0vPMn3Y77y80p9pNaHQx1llh3KuOZ7/DoneMNt6tUdcuX4asFBJ9QC+MfEj0/uEgj0+GEUEY7/izTN6wx8nEUZvHDwSX+D3mROGEEIGLAU+ALxK0ArXEzzJE+RLAsVGCP/zhD3P33XfzqEc9qlqmtea9730vv/Zrv0aapgRTKkWj0aDRaOy6z6PwwLxoDHNJwDRZ2S+1eI4RFWxXh1edO/ZVFS7HOkcV3o0iPKG2HVVFeAdzrmX63hE7EOGjrmbutq+jflyH0Y8QgTfG8tgTLsY8fqjw1/6lA0+A94SS5M5ygPYE+CLCWK8E13BsSPBTnvIU/u7v/m5i2Xd/93fz4Ac/mJ/4iZ/YNnGuiv0kvPt17eyoGs5psO1heL9J8RQZrve5KtnctutFTsnHmAhPY1/I6DKGWEsQ4ZWcoj0OFHsJKT/ol3ZCSoRcIhrAEwGPOTjoefyiwl/3lw783LdrTBNcT3iPGHw49ASODQleW1vjoQ996MSyTqfD5Zdfvm25h4eHh8f+ojK+2rnhwQ/G41jCz+MeHh4eFw/CGsQyAsoJeXlxbEjwfmLpfNt52x/StbFTP/MOYZvyt0gZ3osqPMNAq64I7zY0utxmrho83fdOY9yDWdaelek5/Zf7XFQ7eGFI9BL9Vf0cshp8mAZZhxmmfKkafy0LGUbIMN6xnfAk2OOk4QTfFy45nBAF7CDgVd9jAG1A6Z3bmZPxWR5rEvye97znQPd/1O+Fc1OCZ5CZifXT+aWw7yHSu3VnntjlFBEu91v1swvn6P0I295LiPa+EuF5n90uifDFxqVMuo9aH7vB0u7Q8uiN3ePo4qDncQ+PpXGUJsRjBk+Ajwl8OPQEjjUJ3m9cKp/5NuF3ASneprDC/qjDcwjnrPEt3N1OSuxex8tyZHBPivCCFwTL9l/tap9zdXc06TpkYnrUDbIOC0eRCC9rjOXDoT1OFI7Y99Rjlziic8FxgCfAxwieBE/gxJPgk/A5LyLFeyHEZV6BnfXQuwd35Fmok9Bdq8L7PaZDUIRnhSlv39mMvpdUg5fBUSaLFwNHkaAeBpwx1hJK8Aw3UA+PSxIn8D7g4VHCk9/jCLvk8/LJ+GxPPAn28PDw8NgZUgZIXyLJw8PDw8PjeMIrwRPwJPgAsOgZ8ChcVxNppTNU4WVzhm2lqs5RhOfUFd6LadZCw6xl1eCpMa2iBu+pbNISdXxX7rPa2Yrlo+qbHhBnudRydXeLwwwpP0jFXobxUsZYLBMy7eFx3HFE7zceu8BReDA7ZvAq8DGF0ksaY+3RJ+iY4EST4GXve/s51626r4O+N88ixAtDpOeQ4WnbdTsrpHqfTLP2TIQXYDdEeHIHeyejS5lAL0OEj0BI9G76u1T72g2OFLlfskSSV4I9Lnn4a/zSgSfAK8GT32MO65XgOk40CZ4mPEdxXptbBukArs9FhHgnMjytCgtrZivD+5STu+cSSnt0jJ7bfzmGef3vkxq8FxwpYuWxI47K5yXEcjnB3hjL45LGEfguengcBjzhvfQgjEV4ElzhxD+tCDH+WXlbaw/8Z5lx72bsxlrMgv1bO/kd2FZbWciZD7tWyAlCvK0otzUTBLF+nKseS32Mu679PDWW6vcldjV9fiawiAhMnZPpz3nZw5h5vNOfy15LX+3U3wHhKJC+/cSlcDyiUIJ3/FnxWN/73vfyrGc9i+uuuw4hBG9729sm1ltreeUrX8m1115Lq9XiqU99Kp/5zGf28cg8PDxOJE7Ig/6qsMU/j0sQ5YPzTj8nBCeeBHt4eHh47AwZxUv9LKUW1zAYDHjEIx7B6173upnrf+EXfoFf/dVf5Y1vfCMf+MAH6HQ6PP3pTydJkv04LA8PDw8Pj5MBrUAt8eNzgj3gYI1m9tr/dImdiXU7DFsWG9TVYDlDwamXJqr3uUx4dD00ulw2brA3g6rpMW4b+i5zc/dilLWXUkLLlEyadZzHoY7vUe/rsEpA7ef1saiPg8KyJZJWDU15xjOewTOe8YyZ66y1/Mqv/AqveMUr+IZv+AYAfuu3fourr76at73tbTz3uc9dqS8Pjz3hEojo8ChwgtSuZeHV3xMAA5hljGdOxrXgleAaVglHnoky1Hc/f1YY78S6JUOlpRAThLj+M3FoU1ESy4RH10Oj3XhnHE/tOFcNR56FiXHNCdleNIa9jmOZkPGqzx0wq+9Zl+TcsOid9n+IN7mL/TLpUsDFPofLhkMjBFprtra2Jn7SNF25zy984QvceeedPPWpT62WnTp1isc97nH85V/+5X4enofHYngC7HEJwxPgE4KyRNJOPyfkme1EkuAJkrMq4d0lYd01VuhvHileJn94lgo8L294L2R4Zp5weZy1YyjHvSxm5TBPjGkP2Gkc2xTbpZN6F+cG7xnLvgTwOLSc3eOcGyyFQMqdfwSCD3zgA5w6dWri5zWvec3Kfd55550AXH311RPLr7766mqdh8eB4xh/bz1m4IQ84C8Dn/97wmA9Ca7jxIZDr0R6jypmjW3KebhqOiN0evoU1IlwnfyWv08T5Xqo9Mww6d2ESE+FR69aQmlmaPSc8WzfeHv/1eYrhmiv3HfZdEa/sERY9iVaVugww68PC4cRFn0QkIFEBktEGEh43OMexzve8Y6J5Y1G46CG5uHh4bEcTsjD/SJ40nuCoQ3oZeoEn4xr5MSSYA8PDw+P5VEqvTtBCEEQBKyvr++5z2uuuQaAu+66i2uvvbZaftddd/HIRz5yz/v38PDw8PA4MTDW5wTX4GMlp3EYIc4HiTnj3ylMehr1XOESi8Kjq993yMmdrh08s4RSbcz1sS6LhaHaO248u/+dxrBjSPQecoN36mtunweIS7WvVbCX8PWjekwLIQVimZ99PLT73e9+XHPNNfyf//N/qmVbW1t84AMf4J/8k3+yfx15eMzCbmsQehxNnJAH+1mwtX8eJxg+HHoCXgmG40l2l0X92GqhvtXqmhMyzA+R3ik8epaL9LzQ6HpYtBuPmescvVvX6D25Nu8yLHpuKHa18XJh0bNCXvcUjn0CcZRdouv9wcU3vFoWJcldouVK++33+3z2s5+t/v7CF77AX//1X3PZZZdxn/vch5e85CX8zM/8DF/2ZV/G/e53P/7dv/t3XHfddXzjN37jagfg4eFxcnFM7rP7DU96PSZQktydYO2qU/mxhCfBlwABnmU0Na24uoXzCfEyZHhaBd6JDE885M8gwvWxbyPC5Xj3QIQndlUSnDklnRZhFUI1Tb7L7RdvNCbdC8dRO/YdCfcKOOoljA4Th02Ed4OLdQ5nRYfMwqpD+9CHPsSTnvSk6u+XvvSlADz/+c/nzW9+My972csYDAa88IUvZGNjg8c//vG8/e1vp9lsrtaRh8cqOML3KY8VccTv6QcFT4A9tmHpcGg8Cb7ksRsCfFhuuyuMbZpQTv9ebzNz/wXRHLedbUg1SxWu/z1NhrcpsTMI6LRr9CIivGhss7CKOr1940liugoRX0hQ55HwBf1NbL6TU/UhmlbtFsdBpT1MHJdjk4FAhssYY6322T7xiU/ELjh+IQS33HILt9xyy0r79fDw8PAE2MOjBrOkMdYlIBAug5NNgj08PDw8lsLSxlgn4fWxh4eHh4fHccMq4dAnAJ4Ez8PFrq+6CyMlO6EkTteg3a6+btvnjBDpVRXhRaHRy5RPWqQGl2PbN8XyANXgid0csjp7XJTFg8ZRD72uY5XP7GId09Jlp4/HKffwmI9jct/w2AEnbB706q/HjlglHPoE4GST4JIE7YHwHuQD6cyH4kVhzfXFM0Kkx/udQ4hnkOFFucKr5AnPJMJT468T4Zljm3aW3kVY9F5MsqaxJyK8Qu3gw8KlGKZ8qR3TNsO0qZz+g4QQArFMP54/eBxneAJ8aeCI3sP3E570eqwMY70SXMPJJsGwFAG+WMrLvH63kamJjebnAi9NiKfcmetjmSZ+q6jC28yyyvEvcI7edmxLjGknrJQbXOu3HPcybtFLGVdN9z2L6B8DNfiwDLKOMjmtY5b7+n7gYqvaQSgJlsgJXiZk2sPDw+PAcAzmib3Ak1+PXcPo5XKClyHKlwA8CZ6BlR/OD/h+ND2ceWqQ+2OGslttN18dri/fiQzvVhWeW7ZogXP0foZGL9v/qliWhM8kcUv0fdRNqzzG2FZbep+U2p22P5TPTSxbIsnD45jC3/uOPy5hAuzJr8ee4cOhJ+BJsIeHh4fHjli+RJInEh4eHh4eHkcOS5Pgk8GCPQlmNZXmYlwX8/qcrkdbLV+Qd+vaH4wiPEsNhsnQ6FXNsmZihhq8bH7w5P53VzJpWdVt6Vq+B5QffNTDhw8rJPqg+llln5eCwi7kckrwMT9MD49jjGX9TS7RUMcjPN/tBV4BPjpYpfrBkfzcrM8JruNEkmArxNIPpEf5OtgWWTuDFE/U54W5YcezsBMZnpWTu6cc4VXI4C7DoqeJ6X4R4T2FRJd9L8BRD4k+6oT7KKB+XicyGKZP9ZRB3cSqBS9WDvoaWZYEexbscSxx7K7bvVSwqG97iRDiS3D+OZIk6oRhLyX/jiRh9uHQEziRJHgnHIV76SxFtcS8kMRZD9ZzCfGKZHiWU/OqqvA8IlztY1UiPGusSyjCCxXaFfpfhgjP6uuom1ZdatgtMdzzuatfR7Xvz8JrZNoorbZtuV09mmIaB/lZB4EkCHZ+8D52XMLD41jgoMo2lvs9xmT4EprjPPE9GphJYA/yJbM9pM9ea1DeGKuEJ8EczfvnPEV13rJpYryIEO+GDO+XKryICI87mx3GvQ1zxrAM5ppklf3vIxE+KTgOhHt6fPutnFbnoLh+qu8NTBDh+ndi+rs7y7Hd2u3f++CQ2eaydYI9CfY4djjSF+1Bkd95/Ryjh98jPt+sAk9+Dw9LK7QT94WD/h4uQUz3A9ZeUt+bvcKTYA8PDw+PHSGlWKr8kTfG8vDw8PDwOILwxlgTOPEk+Kh/znWVaFGI9PS6abW1xMw8XNimCO81NHpR+aSlawiviHmK9DwsVIPnbrS9lu+2cSzT9yEZPO0Wh9XXQeYfL7Pflfqfkas7Ly/f7duMFWFKNTjAWPfOv5yHLJawvG6NmtipEAYbxNu2kcU1JhbkD+83hMCXSPLwOBQclvp7jHHUH96WgFd/Dx5Lqb7bngHG37+J7XecZ3f/vbWYw7mmDT4nuIYTT4L3iv3iCctc+4tCpKcxL9xy2p0ZZpPhnYhw2abaZoZb826I8GRHS4YlzzGs2lNo8iHVDl55v960CtjfY1rqnE7n6s4LbS6mTGGNK0pftpclEQ6wgDZ2PA9J4a5/AGsLIuz6sNLdosttdPn9BUTgptyZ9bQPAHLZnGBPlD2OE45c5MLFJsCSYxUSfUzhCfDBYSHxnfl9X0R6a+u2zbPBnC6W+w4LpCO/gNGq+v1A4XOCJ3CiSfAyz9CHNT/u+Aw+RSjr2IkUzyLEy5DhldyjZ+Tn7mSWta+O0bskwvuRGzyPRO3Y9xE3yDrOhHvXZljTQy+Op67qImSl6mrryKwtNsyzhHw0BJ0jdAYloZUhVoaYqEWSGzSgChYcSkEzEIQYZD5EZCM3EBlgwwgTdxlpgbKWvGDBUgraoaRhc7AWG8bVkLf6/V0d+05YvkTSUSMVHh7HAReb/B4THIH5ZbfwxHd/sTzZnfxuzVZ3ZUVe47hFt9tFiqBGaIvny+rZsvh7AUmeRYbFjO+5xZBkF9C6N15mDRcunJ17eLuGd4eewIkmwYuwl+e43ZCAnR7aF7kez6vPOwtLOTTDBAFcpArPHe8cAnWgivA+YCkSt0RIdAnPB44oppyb69dreX3OdGG3FjAIQBtBr9en1++z1RswHA7AaEIpkEYh8hEY7fYtAwgidNQiURZlLaogtGEgaIWCEItM+247a0CEEISY5hpDE6CMJdGu70AIOlFBggEbRNUQ+8PhQZwxAikIfJ1gj0sJR+Ji9eR3aRxTAuzJ7/5hNZV3hsI7RWqlDGi323S763S7Xda6XcLqpbJACIkQYkxei7/d2vr+S5JckuMpw8sFBNkYxSg/j1Jb1TKt9UUmwSfjmj3RJLiu1K0yFx6E0rVon9Puw9XyOerwssrwPFV4HhF245ztHL3INXpVRbg6vjljmYuDCosu972o2SWYr7tbrKIGTx/HQbg3z3yxQi2SAZy6WzgwlyPQ1hKUU5k15KMB/X6PwTChPxwyzC2pdiHKpaobCEFY9mU0QiuwGmFcGLQIm5iCAGcFCbYWGlKAFAidI/LEhSIFIZYYrCPNqTakquhHWhqBpIFBuKxi2EM9w2WwNAk+0FF4eFxKOKoE+AiGRB/Dh3JPflfD7lybS8wgn9tUXEkUNQuyu0an06bd7hREt0Z2xVj1lQVNEsIlO5VtXV+1tghEER4ttxFu11bOUY2VzMh0H83BC7DWWuwBKMHvfe97ee1rX8uHP/xh7rjjDv7wD/+Qb/zGb6zWf9d3fRe/+Zu/ObHN05/+dN7+9rev1tE+40STYFiO/K5MevdDtax/eeYQg50I8W7JcLnjVXKF5+UJL1KE541xGXV6VSwiwtMkabdq8HEOH74Y2IkAl8vmndOJczejJm+5ylhbTUrlnuaZVlW5t8YyHA7JRgNGwyHJ1nnUqD/uRwYQtQBndKWMdSRaQmQhEgHSWkeAVYaVgcvjjTUGibaW3NQJd/GLMQiVYrVC2Mj1ZzTYAG1gmLtcnmboQrGFsC7kmsYOZ3vviAJJHO780L4MUfbwONk4quT3iOIYzZGe+C6H3RlWwTLqriOYLpS53W6z1l2j2+3Q7nRpxI0JZVfIoNiXdD9CVvutyHFBdkuiWye5JbkVtfxhWSPEjjiPf3frA4QdH5uSOUN5AKrvLGgLeonn6GWIcg2DwYBHPOIRfM/3fA/Pec5zZrb5uq/7Ot70pjdVfzcaB//cshNOPAlehKXJyUGE6s54qK/+LMY1SyFeZEY1D0spsfuAVRTZeerdzhvOVoP3jEMMyV4Gx51wH7SSLazF1ibZ8nsgZK2Ob/m/BJXnbA5TeoM+G1t9+n0XUhwFEAqB1AphDaIwu7JQXcwGpxpbcAXvrcCWRLAgsQKwUk98AUyhPJvie+HOicFqBSoviHmIwOUdG5yCbAApDMYGhyq7Lh8O7Umwh4fHyYMnwMthLgHegfRObDuD+IZhSKezVim97U6nyuudpfJOE99K4Z0ivq7fgvzOIL4l6R2T52Ab4RUVQa6T5VI0mgytPlAcUDj0M57xDJ7xjGcsbNNoNLjmmmtW2u9Bw5PgKSxdJucwMd1fjeRVTabU4XroMaymCs8Mj17SMGtbaPQS5ZPK/mfmYMKhhEUvRbqPGBG+1DCPpJef4fSq6vOyZuJaLMObgcq4qoS0gLWM+j0G5c9gSKoMJmoWebcWrW1B5gQElhhcaLNxRlRCBhA2EIG7hWozJrRxYJHShUYLQJi8cooWRiELh2ilLcoapAjIjaVRitpZCnkKSrnvhM5BNDAGEmVQ1mKsRZvQzaUz7gMHgVAKwiVIsBeCPY4FLsrLGq8Ar4Qj8tJ2J3jyOx/LE97lyW7pytxud+h2uqytdWl3ujQbzZpxVTiRuztNdqdDmueFM89SeoMyRBqBFGGxzZjsSluSYzmOQrOuj5Iy15XgQAQEMtpj7t6SsMsbY2mt2dramljcaDR2reC+5z3v4aqrruLMmTM8+clP5md+5me4/PLLd7Wv/YInwTUsFQK7731u3+eO5U5m1AadVodnkc1VVeGSGK6qIM4iwhPrZ3zPZyrRu1WD9wFH3bn5qGPPx7Sg/m15jVo7JYTWw5uFrK73NMsZ9PuMRkPyZMRo0Ids6MKIjXYTnQxqodXFHGEdmZWm9mbJWoTR7pHHKIr5D0NJtku36Pq4LKBdX0YhZLPaRmmLEhZrLaacFI1TgwU4Vdia6kBLQy0lLBqndh/WV8QrwR4eHoeGYzInegK8HfttXiWEJAhiOp32OJ+3cG8GZ261U3jzRGhz0cc24ltbPy/EeTq8ObBh1V+p8pbkdx7xLf8uCbLFLl1Wac9YQQn+m7/5G06dOjWx+FWvehWvfvWrV+72677u63jOc57D/e53Pz73uc/xb//tv+UZz3gGf/mXf0kQzC41dRg48ST4qBDfVdZvM6GCberwPEMqWE4VnkWEoXhrtqpZVrVs9+HJh5EbvNwOFt+ojrpp1VFDPepgvNBs/10E1XVrcQqvoKY6Gl2FHo8yRX+YsDlK2ez1GIxSF0IMxIFTM4MyTFmluIK7ASJsIESANi5fF0BoIIBW4IxihHE5vggJQUwQr7lKf4Zqm0gbpJA0isnY5qnL9Y3ctrIBAQJlnKqbKE1mJLGGZvn90soRYBkgVE7Bm1HakhY1/pS2EB2esiSXJMFeCfbwmIZXgFfCESfAJ5X4rvTKdRfmVWMiGNBstopc3i6dbpdWs+VaiWDHkOZ6OHPZXz2c2S2rK7yu/2VzeYWdDG1eRHrrhLfcT4CcfFlsnXJ9GLBmOWMsa+ERj3gE//f//t+J5btVgZ/73OdWvz/sYQ/j4Q9/ODfeeCPvec97eMpTnrKrfe4HTiQJdnU/F1wEBxzyaicU3NX7mt7GziCFE/kFU8ZXy6jC0+HRE0ZVTJLwHUsoLeEYPXfT3ZpkLcgNXpYI71bNPKx83YPsZ2bd41kmZsv0vyC/vWoypfoLoya3sWV4M4VqWhgwWcOwt8Xwwj0M+lsM+wO0kFgRoMIGuYZcu/ZClBObJQCX36tzIIcgAq0IwtCFKpvJxxwThe6qNxqrUoQQWBUhMO47UmyjjKERCEJhsUHkJjZjsMkQqxQ0R0RtkMXhKW1RuPq/eWAhCEFIrDZYlSKFROjU5SVLpx6nxoLSKAtIeWjhEnEgicOd39jOS2vw8DgyONRr1BPgpXGEye9JI777alwFc8OahZBIKel2ukWZog6dTocwDB11XEbZXZC763qczN8t200TXVkS4DKH19bydiuldxwuvYzSW/6TiIK0uzMgir+ttVgC5GHRMVfOYud2xhIEAevr6wcyjPvf//5cccUVfPazn/UkeBm85jWv4X/8j//BJz/5SVqtFl/zNV/Dz//8z/OgBz1o/zq5CPmeeyXE5XY7hlDDBPFcVhUusZvQ5GXHdRB9bx+LV2iPBGovJ6ydvP7cxCWQpvgeVOvGpYxGoxG9/oBef0Ay7GPzzBHRzNXoFUYXqm452blHF41FWPe/reXiCOPMqpyplUYwVpuNdcRWymJBORkWplUidv0FxRtc5xINyrqwZWQAQmCNwaocUfQnxVhRLcOonWGjrVyk3UqDVQppNIEYT7zWWJSAXFmsqLVniciWPWDZcGhPgj3m4VDm8SOF40qAL4L3hSfARwI7kt89E1+I4xbra6dcePPaGq1my5HhgpCWtXh3S3xnKbxlu5L41tVdGBPfWcZVpcpbP75yXV3xLf+eJr/u2EuNeUyAy2ceheXQLrEjUif41ltv5dy5c1x77bUH2s9OODYk+P/+3//Li1/8Yh772MeilOLf/tt/y9Oe9jQ+/vGP0+l09rbzI2J2tD18ePlxTRgDTamk5duwWfnCO6nCsxThVcyy5hll7baG736GRcNk37PIts/XXYz6Z7ltl7V+thtXBdXv4/uxJSivC51jtGIwGNIfDhmkivPDlDRTKOOIo5TQCgUh7iISWoHOEDJyf4dNpHCh06qoQRQIS44gLsjjuI6vxqgMEcQIJMpYMm0Ii2s3N5awuFhtnoHRyChGqIQg7iJw35VEaeJcEIoAE0TIWki0VYowGyJVRigjKI49UYZ+qoiCENtoIsOw2CZz50KlRFIQSTdpKmvRGhKlXR3hQ8olWjYc2nNgj3k40Hl8WRzaBXpcCfBFwBGdY08C+d2zcRUsVHmFEHTaHdbW1uh0unS7XaIoGhPZJcluPXdXVGZUixXe6TBmt35sXFXuo9qvrRPZGsm224lvuU3972nSKxiftTrxLaPSSgS2ZsZ10LDTpiX7g36/z2c/+9nq7y984Qv89V//NZdddhmXXXYZN998M9/0Td/ENddcw+c+9zle9rKX8YAHPICnP/3p+z6WVXBsSPB0QeU3v/nNXHXVVXz4wx/mn/7Tf3qRRrUE6g+oKxK2HcOM53U5rcDu4NK8rGkWsJ0I7xJ7IcKTO/KOzfuN/VbMq2t4yiTN2NJEyn34SZaRDIeMts4z3NpwBlbWgAywYRMtQmyhmJbmU0YKbODCoidMq4RTgSm03bIOr7KW0BYM2o0Cm6fO5Vk7oywhAoxxocpGakIbuugh4d7aohXWaJezWyi7JRx5tqhC5S6VXasVoJxybXKCIKq209rlBmuDG1c5Nuv6sHnq1G7hVmnrwrmVtRgswSGR4ECI6iXFInhjLI95OLbz+MrwBHhpHEECfGLJ77Iq78ScM0l847hBt1u6Nq/TbDadcVWZSrci8R2TyuWJ72x1t9x6Puktf58Oay7bT5+3Oul1YyzbzCe/42U7fBYHBGuWfGRe8SvwoQ99iCc96UnV3y996UsBeP7zn88b3vAG/vZv/5bf/M3fZGNjg+uuu46nPe1p/PRP//RFrxV8bEjwNDY3NwG47LLL5rZJ05Q0Tau/p62+gd0TqN08eC67zbSqW9/FkuOdqQxP5ciuqgjPdY2uEdFZivA8t+hVQpTn5gYv3GiSdM3qr34O5g3lqOXrHiZmhqJP5fgKazHFTVyXyi+MCVO9Ji8aIQM0gn5/wIVen81en+FgiNWKUEJsFSIbVCqtM64KEWGIxZJbZ0QlBERFuHIAYFVlWmWtQaiMIGxgLWTKEUY3FRls5HJv0QqbJu6FUyNBqAgZxs652VpUZgFFFssix1dgVe6UXRkg1kbIqI0sFNJEGaTQhBIyHRIGsSPBeQbGYIY9RJ4QRZ1KZXZKsCYOBHm3SRg1EGEIWQZSYYd9ZD4iDtqEUmCMOwfDXJNrCOXh3MbjUBKHO9/DliHKHh6wj/P4kYInwEvjqM13x5j8rkyklnFphrkqb/l7p+1KFHW763Q6bRpxs9qucm8W45JCC8luLZy53H9FaBcovNU2RdrSrNJE5Zq6urtI2Z1Wdd3yyTM1QYjF1D7EZJvy7/G2VDnBQc2F+sChzdI5wavgiU98YiVozMI73vGOlfZ3WDiWJNgYw0te8hK+9mu/loc+9KFz273mNa/h5ptv3nuHKxLe3ShpE+Rnur8ZpHg3odJVDzVVuG6atVOe8LJEuBznMkS4Wr+EGrxrk6wdcJSe2VchwtsI/dR2i67DiX5mlCOaDhOH8QQwrexaISndm/XUjTOQrp88GTLobdAfDBiMMgY5KGCoXKiytRAFAhDEUrhcXZMjVIaVAQQhQdhC4NRWXQwhku6ajMs8Y+UelqVVWO1IMEBmdHXfl0KiEcggdKYU6cgtz0eIMCaM3JEqbUmUwWDJWhaiyI3FGmyeYegTZAkiTghlGykEylgGqUIKyLSlFceO0Oocsgwz7BHkI6TOCAPXT2oMg1wRZ4JUWZpBjAgjjFbYzCAHW8h0SKPbplkYUylt6Gea3Fia0eGUFwh8nWCPfcShz+OHAk+Al8YRIcDHkfguTXjnPgMsUne3hzS7dpIoiul0uqyvr9Nut1nrroEQSBHsqOrCuL7urPq7s5yZS1W3MqqChTV4qe1pHsmthy6Xy9zxjs/qtIpbbTtFbOunuP7Nr5/1emTUxN2heqASSEulSh80llWCj8jX88BxLEnwi1/8Yj72sY/xvve9b2G7l7/85ZUkD+4N8r3vfe/VOluCAO9H+OiEe/H01Vcnj1X73YVKV/vZZQhlnQhvwy7I6IEbVu3hWI8yDuSczThX9Zzwqk1Fgi1QM7qi9FywDIdDVDJkNBySbJ4jTwZOpQVsEEHcdgpvaSIFCOMIlItcsEVdXeO+D1qNJw077kdb68ZYjs9orFJuQtO5M7sSuPBmY8mUoRFK95KzUFCtclbNNk8hzgnKXWHJjEEaWZhWhYjCuRljqtBmofPxV9RaFE551sa5PlLmBRsNeYZQOcLkSBEjBRhjSbUlU85YqzLU0garNCZLkCYnwBLKsYmWexlgcVPrwc9YgfA5wR77h/2Yxw+3UvZOuPTmmQPDEXnCviQJ8A4hzRP72EHlbbc6rK116RShzXHsKh6sHM5c9FOS4Gniu6PCW8vfnZe7Oytvd1rZdevHxHY6bNmNbb6iO0vNHZ/2HchutW5yv+7x5RCvQ3s0jLGOCo4dCf6hH/oh/uRP/oT3vve9XH/99QvbNhqN3cWb70CaVgnhXanbmsq5bd2UEZVrt5oqLOrbFb+PC4cvrwiXmJkfPBUaPXdsO4Rnr4wZLwpmNtsl6T5KocrLli+aPtaJYIOKUJptplUCiUUUJLNcbhFSICxF7q1yiqgMUVnGVqrZ7Pc5t9ljOByhtSEOBFEAkcqKckRZta0NYmQUOkflooSRKT7CdhhU+b3kTqUlCJFGIUWAsZBpQ6YMkRQEVTkiic0ybDbCaAWtUwiVEtCs6vEqKZAZZM2AuApvTkEp7LCFjJuVAVVpWqWMZZAbTKeBDGJ3PrSCNMcMehC3iVpniAPp6vgagxCCkTK0tSQOI9AGnSlCOYC0j8jXCWRMKCWpMuTaEkpBogw2bELUcC7QaUYw2EJmA2w+ohlGBMKVfeqlisxYilLGB45l3aF9TrDHTjiUefxQcSkR4AP02Dgqc+gxIr9zSe+y+buwI9kVSMIwKsjuGt3OGp1OiyCMVia78xTekuiWY9seyrw9X3c6VxfGYcyLSK47rklldxbJXTZkeeLMVm0mt9n2+4zPbdZdwggIa6r1gcOw3Ff8+HxF9oRjQ4KttfzwD/8wf/iHf8h73vMe7ne/++1/J/tAfvdyj59JUqb6nkeGVw2Pnle6aBkiujAsegorj22H/neVGzzdx0Grz0cI5bHueJqqlyLuMzPWPSaUOR6Gch+C0aDPsL/FoN9jMBiRKo2OWihjGea2enliLBhTu26LEkYWnEJb9KnLF5NFfq8p777Wgsrd9lqBMUgRFIqzdQTQ1soR4V7A2MwpzlLnWFMowdapwZmxZIFTXG1Z89aYyoDKlTIylTeVKt6YZsqgsYQyQATS5SprBSpDaOX8rIprKteWXBmn2FqLLfKhMAadZYRZBjojCEUVOpzmmjwOXH9SIipzLIvOFDZLXI6zjItdWZQ2lUlYcAiX8/Ilkg5+LB7HE4cyj3t4zMFxIr8whwDvUy5vq9mm23VuzZ1Ol3arzSzTqum8XoSkrGkrK1Irq1KB8xTebQ7NjMOaAQJbV4K35+7OC2lepOzuRtXdpujOIb3TBHoiHHrWx7Z90XjMovx8Dh7WWOxSSvDBj+Uo4NiQ4Be/+MX8zu/8Dn/0R3/E2toad955JwCnTp2i1Wrtfsd7IL4H+VJzW0T0lEq8bImieaiIcE0Rnj7WRWZZq+YHzz7IvYcqbyPCB+gWfVhq8G76qbaZPvYpN2an9BY3dFHU5DW6lhdcXlcuBHiUKQb9PqPRiDwZkA0HkGxV5YgQLl9XhA1AuDDdIky5nBYa5bVZhAELrTBhw5UyIqzKEUkhsEhyDXF5baUjpwqHEUIlRA1HAl2+rqafCqQIMa0IKaULh85GWJUi0wEiahI2ugBkxpAXycSpNuQ2IApip+rmKWbQQ0QNZD4ilC5UOVOaDOjnmlRZ4qjpzo82qOEI0d8g7J6iIQWRBA2MUoUxlq1U0Y4E66Erh2SNQQ0yov4mwdplxLEgDtw5G2YaKXMGucZ2m8iGu6fp1L0EMP1NRPdywrCLlO572U8UqXaEPjoEFhyFYiljLLkiC371q1+9LefzQQ96EJ/85CdX2o/H0ceBzePL4kBefnoVeEdcRAX4KBDfXYfszyG8q6q8QRBW5Ym63S5r3TWCMNxGdvei8M4muiHY5cOYK1I7RXLdsYiFJHeRqjtNcKfDlXciuNV+JpTeYnm1jZhYDjvfbiQUL/LHjtYHDudPuly7E4BjQ4Lf8IY3APDEJz5xYvmb3vQmvuu7vmtf+9pP4rts6aFFKGv0ligJZ/U3uyPD02ZV80KjlyHC23e+Ghndt5JJu+j7yGOGcRXMjxyYV5NX27GyG0gIyhu/UVCENydpRi81bCQ5G1s9NvsjTPGSoxlK4gCiIkdX5IkbkwkRURsRRBisU0JNkS+MhNi9YJHGhQ+LMISogQgipOyiTGFAVeT5pnFAOwidKp1n2DxFCoHojpBxG1HseZS5O3kYCHIdEoSFE3PmQqjtYAsRtQhbxfVsLIPcbZMoS6ItrSB0rs15hjQGE8XIbFSFKufakmvDVqpIlaXTbBAUpFYlKeGgh+1vEl/jxhEAw0yTa0s/UyQqhLAJYYQ1Fp1kmFGPYLRFfEpWRlfD4lj6qcacaY3Dro0h7yeY/iZRNqARX00gxsR5mGlUO2T+e+b9w9Lh0LsYy0Me8hDe+c53Vn+H4bGZmjxWwGHO44cDT4B3xCET4GNJepdRd5cguyVBbTZbrHXX6HQ7rHXXaLdcDe6K6NbIbl3VnSS6RW7uVChzQFgR18roysoJolsnuTBfzV2G5C6r4i4btjxPwR0vL7abIrf1dfWPa/oOIMXs5RM7qLe3oIwoPgfJcgx1DzAspQQvcnq+lHBsnjQO6wPZLwK8H+R3el915RVmhAUvm49bw6LQ6BIr1RFeVcWcowbvmQhfZOyUt7t0OPacz7Dc1fSLiAnnZorw5mKitNZWfgjCgtGKQX+L4cZZ+ltbDAc9jLGYqEUeNsiUCyNW1jriaZ0NTdEzQit3neHCmwNiF0KNy9kNZYCSFisKum006NyVLypr7JYRybbcprjWhAQhsEq5UOUsQegctKpCsJR1NXld3i6V0RXKhU7bwlAqlG5i0rhQ5VQ65VlrWV17Vhu0zqDcJnKhysbaKrw5L42uhIDAGWTZPMUkI4RRBMW0l2v3AqDMJ7ZxSBlfbXINWYrNM0JJRSpzbci1dDnBSGwQIqTAaovOcvcyIEuc27YYb5MZVy6qui4OMMx/WWOs3YRDh2HINddcs4tReRwnnJQHK48Ch/h5HwXyC0sQ4Ln36NXCmksiK2WwTeUNo3Eu7wTxrWrthrtSeKfDmKfdmaedmWeR3urvFZTdpVTdGaR3J8Jb26wISV6s5s56Ut5GesX2dTNWTbRx8/ohKsE+J7jCsSHBB415D4+7vYevQhyXRX1/dXW4rgzvRhWeFRpd7rjsY97xlCRseiyzwqJ3wr6aVu1A7C+2QVa5j3IMi/LBJ0pc1Y6rrMmrrXWqbjGpuNzbwvFYSIQMsQiGScqFrR6DwZB02CdPU1pSI5OeC23WOWVOUBA2Aafo5gVzDkVZjki460ulrq+oASotQqIdoR3mprheQhQQB5Ej4aMhAEGrA2FMEJ92+b3aMMw1Slsub4XYRuzKEekcmyYYpYjyEeQjArmGBBcKrF05olQb2o0GQRBhVY7OFGLQQzQ3ia6EsDipo1ShtGErUXRi6UyopMQqjUozZBgg0yFRLVQ5zTVbqWKkDIm2dKMGiACd5eT9EaLjyh5FYbdQpQ2JcsZVW6nCtpuIwN1qdZKiej1kf4NYQiwFUSDJtaGfKga5cn2ETWRZDmmUYoY97LBPHIzLFA0zxTDThUP0wSvB8gCNsT7zmc9w3XXX0Ww2+Sf/5J/wmte8hvvc5z67GaaHxyFh/1XgeQTq4AnePqvAhyVaHJEn9eVyd2GuSzNMkN1xfui4RFGZkxvHraIu7xpr3TVarRaBjIo2wbgmr3AqriOUbpnL212B6NpJdZfa1tMGVbPydCuCyc4kdy7BXYLc1s9sXdGtT1fTBHdaTa5jppo7h9zOIsz1ZRO5wjP6skAodhdBtRssWyLpiHy1DhyeBLP/BLhEXaE7CEI8nZMLeyGgsxXhuiK7K2K/zDhWVIPrx3sUsVc1ztrajXq61jJQ1uStR7QILEFBTrEGozKGwxH94Yh+btkajOglGVlRkzeQgkiK8csPo506K0RVjkgUSmgZpqyKn+qzUnlVXkho5dyccdeIMoZMS5SxKI2r41tTgm2WIho5QbErp7i6Y1UWZ3RV78dqbJZAUyELYdVaS2otTWVQtixHJF3tX6Ww6QibpwijKqOrXFu0dSqtNlQKrTUGkyl05nKdg0AQSokxTglOc02mXT8idAMwuUanGaQjhMoIQzfJ68LxOlGuH4IYUSi7pnB8jlKnbEspkdIR57JUUmn0JUqZ3BpMmmOSkVOPxfhYlLVjI7EDRhzKpXKCAwlaa7a2tiaWz3P5fdzjHseb3/xmHvSgB3HHHXdw880384QnPIGPfexjrK2t7dv4PTz2D/tHgJd5+C3bHBXStxAnSO1f1bhqYpuJZ555xDeg01lzKu9al267S9xozFZ5kUsTXynCKgdV2uJ/Qua5M88iveWxzDOnmkV66/m606HMsxTdVUKYlwlfXpXw7kR2p5fPI7xixv5KGOtI8GHlBFsNVi3R7hLKKFyEE0mCK/XtgMjvLMzLnV06zLj2e7mnCWW4dnOZJsK7UoSFnFm6aFki7J2b56D+GRTn2BSfXf28unJEhdFV+b+Q7iMtbpba1EoYqYxkOCDrXWCweZ60t4k1xpG1uIOJmkXIsXNvDqzAWEGrLEekc8icSiuEROocQYi2kChNpq3LCcViQzfx2jzDJgNsFiLbpxFRg4A24EoLZcoN7vJWiIkaSBlgssQR4cEmIm4QieKaMjDINaG29BKF6jaJgxhrDWiFHmUE/U1kc40ovrzI1zX0E1X053J81+IGJteoUYoIB4jWJjIbEMu2K0GUa4yFrUyxlSjs6Xal0qpR6ohqb4PmVYJGWIY3GzZHTtU90woRsdvGGks+SIj6A6JsQLNzBXHgiHOSK7aGOVutiIyARtxASInJMvLeiOawh8yHNIN1okCgDeTWsDHMXH501II4RgQCleRkvSHhqEckLFEgCaQgV8Y5c9cvqQN8AA2EcC9adoBA8IEPfIBTp05NLH/Vq17Fq1/96m3tn/GMZ1S/P/zhD+dxj3scN9xwA7//+7/P937v9+553B4e+4u9E+Ddqj4HQ4b38Wn3mCjA+6a6rZTLO14/HdJcLouiplN5O2PX5kBGBaEchzSLgtBuz+OVLmd3SuGtE12A0AaVSVVQ5hUjCGy9hNFk3u4yJJdq+XZlt05y5xHcZcjtTHI5/SksQWynP7lVVNxZ0+AqhLneVlv34rj8jA4cPhx6AieSBMNsAnwxXmBOk+OlCGbt92lCXJJhqhvGZHj0qkS4Wj5HlS37nqVKjzfevVFVpXAvCBeG1Un3vhHtKVJbLV7CtKqsswtM1OQFZ5Ygih1VxlVCYm2IlSH9wYB7NrbY6g3oDwZgFJEQtMgR+RCZDZ0yKwNnQBWEGCvJjCVXljAAHVhyU0yL1mJHgyJPN0TojDAKsTgn5n6mXIBUM8Q2YxABaOXq5IYhQdpHhE1kNCbByjiVMtGGVhQQCQFZ6ohwsImIGgiVEhZqrDO60mxlEamCKIwRQqK1Ih+MCPubyO4p4lOCOJBoC72CBPcSRTeSlROzUZq8NyBsbiLyEY2wQyiFU3WVZnOUs9UMMWF3TIKTzJlX9TeIhHW5xNIpu2mq2EgUVyuLiRqIuOVMqwYpQSOilQ6QKqEZSldfODdsjvLCHMvSjJvIRoTJNfkwIdvq086GNNdO0ZCuJFWaazaHOYmymGYTETaQYYjJFFlvSGuwRZCPaIaSMHCmXWnxUuMwnMulEPON8GoQwqm773jHOyaWL1vr9fTp0zzwgQ/ks5/97K7G6eFxVLFf5Esg9okI7xMBPia5v7s6/6vk8C4Z0ixEiBCSdqvN+vo6nbZTeptx072EFiGlQ3NA+XtJdsNK1S33VxpUSRvMDGUOKtV3THznqbklya3WCcE8JXcbyRU75+QuQ3BnkdtVFdtlSe1Ezu/UR72M+lvHLKVXTP0/3U5SKsH7n14xC9aeqGCNHXFiSfBBYRVuNetCLB8yp8mwYPaLmXnZgCUZnaUKr1ZTeLsyu5MavN9E+KhhbjmiKdRfTEycjykiTFH7tjSucoZMxY3SGvIsZbh5nt4wYZCk9JUkt5ZBZquSRLEUBIGovRXRCJNjC5XXGufU7NobjHZvliviXTg+W5W7skQ6J4jd1GVwCnJZl9dSmFYZ7coLWYNJE2jlBFIUOeIuvDlXAqVdSDQycG1zjUxHhaFUTiCbAFVt3UQZl+8cRFW4ssmUK32UJpXRVRWqXIQdK2uxclyOSGcGlaREKkM23OdQhl278GaLBsIgciptXuRR5xlSK0LpFNdS2XXKq4EwcrWCjcEqjU5zbDJyLw4Kcwtj3LhGmXa1f6MGQgiMNpgsQ6eZC6EWgrDIPVbFseTKfaZROA6hNkqjM0WkMkIZEQXuHCtjJl6eHCSkWK4esQCCIGB9fX1X/fT7fT73uc/xr/7Vv9rV9h4eB4fdP6geVs7foeOYPFHveP53fHjbKax5u8rr2jni6u6Jp+h2OjWVN6xCmucR3+lwZlkowZM5vIXCS7BjGPMs0luOXlau0GPSWyekgu2q7kT7GlGeJrwwSXr3QnhnkdNZZHee2ruMarttnwvWTWN63TwrDTkxnkMkwUs8ih+Tr/We4Ukwu/uw90NInLcPa2eT4bL59HBtbX3dSXq3RHi/wqL3MyR6mfO9FzVsert6/9s8t6ZvhjOMq8qavOXv7o3suCZveY6FkLgcX0c0tbWMRiNMMiRLRiTn7yQfDSB3ZX+QEbRPI2ToTJuMIddgA7AYOnEx8erMqbRSFqTNlSNyBlQGZQztMGAtknSKckQmGVXlhcT6EBm1EQiUsQyL0kJSwFVtV44IwI767v/BJkG7S9QRBKJQj1OFtpZBbmhHlq6MXDmiLCdXiigMCbMhoWgSBsKR2dzQK0yo1lpNZBhhtUGNUtRWD9lxKm0cCKQUjHJNbgybSc6VKsZGhTlXrlFJhgxDWumARkvSDCXa2kKlVWwmTnVdb7Zc2HiWO1K7eYEwG9AMTxEWScvDVLOR5C6E+kwL0XQlJ1zYdYDpu7DrZni6cpXuJXmh7Bpkq+MMxKwl7ydkvREkPaTOaBQGWEYb+knOVlFaqdHsEDRiMBY1GJH3BjTzEe2wSSNy26S5mcgNP0hIKZaqAbyqMdaP/diP8axnPYsbbriB22+/nVe96lUEQcDznve83Q7Vw2M7LlKazdElv/vwUvoYPCkvl7cLs0jIxLZLligqc3HbrQ5ra2t0O2usra/TjBsTIc2lQ3M9d3e6JFFZjmiC6NrdEd16CPOi8OV5ocvzwpbrBLeu6C5FbqdI6TIq7izSukgJ3rafBYruzKtih6/vjutnLZxSgoNDVIJ9OPQkTjwJPggCvCoRm0X46mQTlg+TroTAmmvzBBFeEvtVOmmi3yOiBi8TCr1sbrIorfaKFwvlObNQkZOSFEmoCDBGIYQsatAOubDV4/xWn35/gDGGOJDEIcR5jjDa5ewW+8VopHQ1eY1xpYWkkM4sql6OSGUgBELloHNkwNi0SlkkpjJhQgiXq6udoZTUOcLqKtxKGRdGnGlHJMtyREZprLHIdITMEpfbIlw5oiR3n7UzobJjVbcw04oyp4bK2JUj0saptGWdXY17My0CiVEaNUqcoZTKCIVTfHOl0UaQFsorhXoKYHJVqbSBdIoruHMwzNS4tFJpWqUNKI3JcmeOFYkJE6phqgujqwgCZ46llSHIcmw2QmhVGUdpA2muSXJDbgARQBGqrZVxZY/SBKHTyrna2tJMy6nHIowqh2inBOcIlRGHkqh2LPttujcPkZBEcueJepmQ6TpuvfVWnve853Hu3DmuvPJKHv/4x/NXf/VXXHnllbsdqofHkcBBEuC9hUQfXwK8ynFvO/8Lcni3tZ9JemEW8ZUypNvtsr62Tre7RqfTISqqJVSOzUVN3pL4lnm8deJbGlYJ68KYS7MqiahyRoNi/aqk141FVKehTnqro6yR3rJdSXrnhTHXSed+EN7pkOVZ4crz1NtlyO4idXcWptssnAF3JMRTEZ4CdO18HwaMdj874Qg8qh8KTjwJXgaLLtCliOWiq6lQWhd1Oq0Mz1OE68tKVbhOhMv+VjHLWqQGw+oPvDv1U2JfDLJm5OvuuM9ym9oxwwwTMiGQxtSMq/S4n0LZVWYc3hwICANJMugx2NpksHWBwXBIogW6uU6qLP1cu3JEtnihISQxgNWIbIjVChk3IWphQ1eTV1voZ5pMGdaaIbmFRhBh8wwzcO68QaOFCEKCxmUY40hpP9NkRpKoGNtqgAxcaPNogMlSgtEWIu4QSKdsjnLNKHeT3kgZOs0mgQwwWY4apYTtTUyzQ3SdrchmP1GkuWAjyTndDLGRC3sujasQgjjtE7dcjm+uHTm9MMjoZYrTKiButBBCoEYp2eaAeP0CcTYgis8QBaIi2BeGGRvtCHuZKy1kjUUNE0ege+dpBIJmaXSlXL7uxsCZUIlGkyCOwVpUqkg3+7TTIY0uxGGAlAKVKzZHOZtJjgm7RK0OQkp0qslIsf1NRNqn2bmGKHAO1Vlm2BplbKUKE7cQDXf8aqTItgaYQQ+ZJTTDNoEUWAODRNFLHUEX7a7LIzaWbJA59Tgb0uxKmgU5TnKXe30YCMRy4dCrvs/+vd/7vV2Nx8NjJczM01kFq13ZR1cB3iP2gfy6ivO7Pz9Lbzvxec/I4QXm5fG6zcdEt9xeypBmo1mpvN21NdrNVhXSXDk0T5hWOfIrKdcLAhtW60G6UGZTBj0XhNeW5laiUgoDIavDKl55E5TPc2L3yu4sVXcpgruA3E4T21kq7SJiK6babGs3Y0zTmM6/3YZtJHf29T3r1rHqFTy7f1fZQ668t13CAmaJvuwlev+agifBCzBvvpxLfHfz6mTONqL+dakNpMxrdG3mRyyUqvBEHd8qVGVFRXYHIjxzk9rzxlJq8A6q89JDnad4T5HsmcZVpUpb/G4LQgtM5V3a8Q3LWoTOxvsXAisDlLH0k5z+YMBoMCBLh8g8gf45hEoRaeHE3Ggj4zZSBK4mr3ZuzOA+v3bgpjkzGjq1MUog7iCjJhDVTKsEBrisGRAHLlTZJENQOSJuIMOIxmk3ZmVsQbQEW4nCrLWQQYjVCp1lWDUi2LqAbK0Ttc8QCkGa68K4CkbKkhlohTE6y1GjjGxji7jRIsgGxNKFCg8zp/huJIUTc7cBUmKNIeu54ze9DRqXF6HKxoUqXxjmbCSKy9sRpxpNRBhhMueQnG32aWRDWu3LaEhJrgyZMpzvZ2x0G5h43RluSYEa5cAQM9ikGUArCgiEM8fKlOL8IGOQGWh0odEqwq6VI5ujLUKd0wwlgRBoZTk/yNhIchINYdRChgE6VVhjybb6hL0NGqdc3V8AVZhjbSUKOi1kswNCoFKNGmaYwSZBNqAdd9131ECeaHqpYpAbRNx2Lz0ANczJtgbY/iaN047QCyFQ2oW2HwbEkuHQl+qzv8dJxvLz02GR392pwLu8V+yR+M4aa7lsz+drh9Dm1XJ3HSEtw5alCJEyoNvpsra2TrfjQpzDIKrClRGFI/OUO3Nd1XXGVY7oYkHaYC7RnVBzK1I7duYXjCOUJkjuCiruopxcWSe8YnlyOx2aPIvwLiK1OxHahYrsBNGtpRBObbP4StmORVemEPO/E6tc0U7Vp3LrPmj4OsGT8CR4DlYiwEsSyp1U14nw4xppm1ZFp1XhXV2rS+QHLxMSvSvsc1j0qi/4y4+w7moNTBDgKrwZV5O3NK0CirtxUajIGlAZwhpGaUZfSXppzj2bfc73BphibJEQrDUksbWVaRVGu7BaYxAyqEKbM23JDURlHje4UOV0BMYgVYbVOYIyJLgMO3YEzxYqISrH5ilmNEC0RghMVS83zTXGyMqEKiwNpZRGJSlx6oyepBBISWEOZRilypk3GUurCm92ym5c1suNOwRQ1b4d5bUwYuFIsC3Cjk0yIgogrOVSJ7mq3KVF1IAwdKHKheosVEYghAththajDcOiD0uRA13U+FWpwiYuvDsUY3djU5hjJUq7EOqi5JHVFj1KsenIhSoXRl/G2HF4s7XYIEQErrQTRb1gm6dFH+4hwyhDnhsyY1z7KEYGEoxF58bVF9YZcRRU9ZK1ceHgiXLbULldW3fOkhGhEMSyDLt2IfGHMWGt4g7t4eFxieAACPDSWOlmskjp3R7SPK3ylqS30WjS7XZcmaK1dbrtTrEuKrasE98FCq8dm1XNCmUOaoHMEndvnZW3O1fZ3YWqOy9Pd1rR3SvhnSa7yxLd6eV7Jbqznl7nXVG7JbXLvBdeBIt7Dj20yBErsEuovCeEA3sSXMd+Kr+rODDP26bea6UMV/mD45zceUS4rgYDY/WyVEt34Ri9iho8MZYVc5JnhS2X2y8qbyVE0ZfR289njdDrYgNtbZGNQxXaLIwqVGCJKHJftR3X5Q0tBBiSwSbDrQ2GZ29n2N8iN2AbXWzUYmACUmXJjbvBKWlphpLYGoTOMf1N0AphLaJ1irDhwpsTZdhIcve5igjbjEAERXjzJogA2T2FiBqEsVNcE2VIjUEDI23o2JBQSkyWoAYJEecdActHhNKRvbK+7vlOzEhZ4tJQSmmyrSHN3gWn0p4RNMOAXFs2Rxna2CK8OeB0o+nU0yTFKkXYahBlQ5rtywgDQZI7onmul3JFK8JEp6Col5sPEqwxmM2zxGgaoahq3w5T18cgM9iwgQidoVTWSwhaA0x/g+D0qApv1rllc5izMcwYKkOn0URGATrRaDTpRo9uNqBR1OQFyFLN+YEzobKtcaiyVoa0NyqMroY0wzbNSGK1IUldqHaiDDZqEcQRGEueatLNAa3+Jo1A0ixIrco1MpP0UoWJzxAWIdQq1SAFeX9AOOjRuKKmHmeuTFI/U9j1JqLRdOHYqSYb5JhRj0YgaccBUeBeeqja9+IgyyRFEqIlZvx9S5Hw8DgSOHoq8O6wSvTX/txHVibAc+8d+2NaNVvlXafb7bC+doq17jphGO5IdMvau/WcXWFcKaLSqCqo0dygDKUuX5IiqhBmKZYjudMEd5YR1aKQ5TohXYXcLktstym1s8jsHCILkx/9IiJbXzeLuM5Ue2cs3K3Ku23fS7ec0xeiKpHk8t0PFka7ips7wecEnyCsnPO7QDldCTvV7K03rZaNyfA0Ea63q2836/BWLp00FU5cDGHhXLnbFKxFBLj+uy3DvJlTjqhSdkt3sLGyq01N2Q1ASHc+hM6csguF+VEAIqQ/StnY6rHZG5AnA1SWsh64XF3ZPwf5yH0W5YwlO6TKMixMjtqRpB0FdIR0DsmDHlalSJUjOmeQUQsLZMrQSxSqIM9Xt0OaQYhVCt13Tsxy4xxhs03cuoYwMIyU5sIgJ20aemmTbhTQjhqYNCcfjDBK0QwjwrRPI7wMIQXDTJMqw4VRzig3rDdd3rDRmqw3JDl3gVb3LI1QVMSnlyhy7ba5utvARi13epUi6Y+QcURnuEG4djWNMHCliDLNhWHO2ZELI25GsSPBI+WU0s1NmtmQRtgmCty1nI0U53oZG+s5ttuuCGrWzwjiPqZ3Hpn0aUcttAGtNFuDjLO9zLlKNzsuVFkZjNKkGwO62YBm5zTNwlVZZZpMutq/9soWstV1yrLS5P0c07tAkA7pxus0osK9O9WcH2QkymLbzrnZGIPONHlviOlv0gih3QiQQqC1Ic80FwYZuRVEcds5SSuNGkHWG9Lob9K4RlRuz1pptoq8YBsVIdRSoFJFPsjHfUQSKQW5NqharP6+1b+egUC6FxU74XCCujw8jg4Om/yurq4evZookyR2mpLNajPfqGrHkOYiV7cZN+l0O6yvnabbWaPTbhdhy0UZo6lQ5jrRDeykIVVggzG5rYUxBxTKa03NHau8Y5JbN6kqSW49zHlawV0mXHkZcjtLtV2G2C4itbOU2XlEdvqbUiec0+t2Kks0i6zOm3+WmRr3QkH3Mu9Jsbcc+VVgl1SCfU7wCcFBhD3vGyZCoreXLZomwjthplHWIWJflKoZZHzhsVdF0QqSX9Tk1Xbs3hzYYv4vkiVsnjIcDhiMUrZ0SC9VnOsnZMaSaUskBXEgsKHL1xVWufJCgIjbECqQoKzLV82KnE1tLFa6baxKsWmCFRKpMhciTYDBlT0SSjDMdeFeXITEZjnWWMJshM2SYpJ0x5LkGimdUVSuLWUus8m1q5mbJK5ebuiul1wbklzRTxS5thjpQojLfnSSYdPEhREXM1Gau/DmRBlGuXbhuoDVFpMpVLGN0Gk1eRljGKSKUarIraVVODFbY11ubBHeHEXdimCVIcHD3GDDyIVE40KCdaaxaQI6JRRtAulclbUypMoZi4kwQoQBGIvJbeGqnLv6wlIQSBcOrY1zYrZBjAhjV/sX0JnG5BlCJYQRlXqslVO2U2WwMh47N2vXhx6lxFjCwBFU55fmagsrAzYIkVGI0RYo6gsrF0LtwrvddZjkilRbCCJEEQ7tQqg1Js2JcOHjgRRoazGHFLgklg6HPhmTp8dJwD6/0lmUXnQJSi+znJxnk1+oyO0KxFdMLB+T3vL/TqfLWnetMrFqxC1Kd+ZAxBMKb0BYkF4XyuzKGo7V3XrubqnulvfDgDHprZaJ7cpumddbkeIaKQ3k+MjrBoTzwpWnCW+d3M5TcldVcev9ur9t1cfUqgnSXWKapE60X5Hgzgxtnvf8vmBOXOUbfRhTmcTuOaR6FVgjsEsYYx2D6mf7ghNPgmdhG1FbYnLaTfjzUrmxtfXTaq9AzlSEF6nB9TzYWWrw9LFM5AXPUYO3DdlO/r7UjaTYd6lk1cOb623KkkR10yrLmNBaLMIWF7bRCKOqc2iDGGQ0rslrLAbIMkU+GmB65xhcuIfk/J1gDFYGmM5lmEYXZS2ptmwmijgQdKLA5fgKgc0STO88GEMQOvU4jE+Taef4PEgVzVBzRTuCZuQ+szTBDHuQjghGW8hGl0CsYyxsDXP60sWrDJWm03AkMB8kqFFK0IwRcYvGvQShBKUNF4YZw1xzfpRzWSty7tHGoJMUleYIKWkmPeLT1xIHzuiqnyjO9lM2E8WZZkinKOmQDVKCCz0ap87TyAbEwVrlkKxyuHsr5epuA061EGGANYZ0K0PILczWeeQVfdrhOsZY8sw4lbafMcoNp1tdRBigUu1U2gs91tM+rdblNIrwZpUqLgxSNpMcG687NRTIhzlIge5dIEp6tOPLi+se0mRsdCXaXcJCpVWpItvsYwcbxJdb2nGh0ipb9JOTy5BWZ825SmtLnuSk57eI+5t0rg5px85tWitNkjqTr0THxM2iVrIyhXvzkGY+ohUFRIHEaEtuDBsjVyu4G7UdcTaOtGe9oTO6Cl14s5Cgc0M/UfSSHBOeIWy2CUKJzg0ycyp9QyU0wtAp5/WIhgPGsu7QngJ7nBQspd4s66tRn2cXYE85tjN3uIv97TSp1yO3liW9S+XugihIrsCVJnL/R8RhTHety3r3NJ1Oh267QyjjCYU3FI3KqKosVyRtgLTS/ZQqb/m/cElkEpCyVHvHqm1FcotDCMR4fZ3kli946+RyVrjyMuR2mtiW+11GxZ1QkFcgtPPU2lnOztPtt4UzbyO/O5PdWdvNGs887JZkHnxwsuslwBmkHQasPTkEdxl4ErxPWCWvdgKrmETNIqEzFOFZRPgwUd6syi/aTEK7ADNJdN20iuLGZyVlILg2ZYj0eMIpCbNQWTEACVgGgwF3XujR6/fp9QZIk9MIJR2bIJI+Mk+wWiGCEKFdnV6LcO7FSmOsJBQSpSGWLlTZpgnWGmQ6QrRyAuFeOGjtwpUBMmWxMnQHpHJMmmPICdMEdFamMJEWZX/asXOMNjIiCCQ6zSuVNsxGEyptUqi0o7qpEs7QyhQOznY0IDzj3lRra1HaMirK8TgFNUQGAUYZ9CglH4xoqpyw6fowyj2AOZVWY8MYGRRhvJl2CmoyJFBZVSYJY1GZYZgpMm0hjAmisFJpVZIidEYgIQplFUY8yDTDTGNliIhjEAKtDDJVzrgqz4gbxUsQ4+7qSVEqSkQNR861xSpHhMkLxTkQhUprUYWyqzTYmhJe1fHNEkIBUSCLOsIu/zgzzkysUqi1dfnHqavHHJaRAsaCdCZkyloIwgn12GQ5Js8IZaECCDeuPDckucvxjiKnUFtrMbmp9RERFC8ATKEGH3SJhUjKKnd5EZZykPbwOAnYZ2PJY0GAF7aZp/ZO5vIuQ3w7nTXWumt0ux3WOqdoNJoEIiIQpRPz2MF5WuEt3ZnrubsSOUF6SxI8T9ktc3nrpFeWRHVRGLOYJK11glpts4SSuyPZrX6fTXaXIbpzSxOJMv1sErshuPNygaex07SyW8J6sQOXXPj84T2xWyMxeuf70jJq8aUAT4Jr2GsI9CpOyhOEed4b4OnxFHmtixThqimLiXDVtjJWWIGM7xJlmabyPNfPQf3cGWtrx1bk+YJTdasq3xpnXBWgtXU1eXE32cBCGAWgM/RowGDjLMPhgK3U0pcdEm05l6iqHFEnciHS7UAgMJj+JmY0dKQwbiPCGGiRacNGogiArGm4vB3SiiKEMZj+BjpTCCEJgojoivsBkBrLuX5GGEiu7Mbc73QXGUSgFVlviE5zoqvuJlo7TdS9klAIBqmmn+ZoY+ldrTndCOkEIbooE4SUBM2YRtonDk4BriavtZZ7+imXd2LsmZZzSM4VyebIhf9unqVxb5ebrI3Liz3Xzzif5FyrYi4rc2kTzUgPidd6nEq2aHWvoBlJtNIoZTjbTzg/bGLiy5Fx4VA9zAFQF84Tjbbotq9FSvfiQCU5Z3sZW4lCdtaQceRU2lFOsjHEbJ0nPJPSil1NXq0sg2HG2V7KSMNao0sQhehUg7Ek53s0exdonRFEhXqcpZosKXJ8uy2CVttdJcqQbKTo3oWiHFFIM5IYbTAaLgydStuJm4gwQAQClSjSzQG6MLpqlXnEuSLLXL7uSBk6jRZSFjWBCyVYZEPaUZdGFDjiqgybw5xEWUyzRdCInKqcabJeQrY1oCWsO/aC7KrMbZMqaBQGXFZbVKbJhwkiHxFHHRpRUDhw7993dBGkWO6N+smYOj0ufSyezxeqwHshv3NejO87AV5i//NVXFh0fradmyWNq+pkt153txG16HbX6HQ6nOqeotNZIwoiAuJtCm9INA5jtuPc3UrhLfJ2pZCUIcqzlN1t+bxiTERLklu+651FcKv2zCe3s4jtKqR2J0I7TWZnEd5q2wkyOlvJ3U5yt2N7mPOM62rOV2fRt2Y/ieJBzFHLjG5Wv4ryBcvhzJzLKsEnRSz2JJi9k9/FO5/9tZ7uUdRV3nl9V+Mcq6F18iiKG3e9jvAsTJcGmhjrDJOsKiR6wcQ+fQ7rBj31nN2q1l1ZrKwcqzDYIMZal+NaliQKinJEsjh+oRIwhqrWT9hAW+Fq12pDniakowGRTsnv/iJ5fwP657HGINvrcPo6ZNhEGdhKVeF0HGEJOdMo6uuOhpiNuyEMnRNzGBNEbYy1bCU5uXZ5sfdab9CJQxpA3h+RD0bFmEKCwihLGVdfFuDsqSZDZVgPG1jj8mGzrT7q/D0E65fROH0jcSgZ5ZqzvYxcmyK8OaQbNRwJHqQYpQlbMc20T2v9tMvxTRVKGe7YTLiy28BevebyYq0h28owucFsnKUVCdqFGqmUcUR4kNFLm8hWG9mIHEEbZMSdTUx/g+gyRaOo45unmvNbKef6GYkWxHGIkJJskDvCeWGLxuY5WqeciZI1lixRpKN8gqCWpC7ZSNGb5wiyAc0wqMh2MlRcGDon5m5BUI0yGGVIN/vorQs0Q1k5RKtMk41yF0J9poVotFwJo9yQ9zNsf7MgqKdoFnm5xljO91NG2rk9h40IKSVqqGpGV+58SeEIdZ46op0oiyhMq6y25CO3jcwGNMN1GmFpdOVcpQeZwnabBEUItckNWT8j743o5CPacUAcSrSyZJmin+ak2mBLVdtYTK5RgxEiGxE3RWU+pnaj5uwCUoxrVS7CxX6z7uFx0XAQJQXZDwJcjmv555pxmPI01Zql5E73UxJdmGdcVSq6pYFVIBsEBQluN9dY766z3j1Fp9uh3egQiAhJQGgjnNLrfhcIAuOIbl3NLfN0A1kvPzQmubNCl4MZKu4qBHea3M4jttOkdkLtZfy7O4/bCe0iVXa8r+1q7czQ5znkd/o+PlvFnX9dzpsGpl2hl9lmFcwa01JGUBcJVoAUBx/JVfXnjbEm4EnwfmOX+T8zw6mF2PGVjatlC2V+LIzDopdBZZy8pGnVwpxdmDDusrUvdZmXXKnB9fZu1LUxOQKsy2Rf6SzksQahFegchERbQX8w4o7NEXds9Oj3BmijiaTgTDOglWUulDkdYbXChiGolCBsoY0lKwye4sCRKSvc5IrO0UniwlCTIaKTIR13IVWGYaoLZ15QGhqAUQqd5qjhiDAZgM6RRFjr6stqaxlmzoTKFkZX1ljUKCMfjIhGfVdjFmcMpXLFMBWMssLsKSrIkzIo48KbhUqIpCAKBNY4wjXMFCOlMUFUGT2p1KnnapjQ0DlRWJx940KC+4kq6vjGCCHGjseJwiYDhM6IAumImDao3DlY59bSCCNE4MJ4dapRowyTjgiDsUGIVpo80wyVnqx9mxvUSGGzEeiMULYIRHEsuQuHzo2FIEZGZR1fgxqlkI5cDV9Z1As2BqVc6LkNG9X5stodi04SYpVVdXzd+XfGZcoAUYQIw/HnkipnQiUFcViEKhuL0e7zVGX4eHHZ6tSFg1uVEweyMtOyxroQam3R4ELBi+XO6MuFN0eFmVY55iQvyK2MkNU2roSVMJpALOfUvJ9Yuk6w14I9jj0OhsweByxybZ7M3x0vd03HpLf8u056gQniW6q8cVjW5T3FqbVTdNodorBJQDhBfKUNC1XXGVSFNqwU3lDIgrDKbcpuUNy36qHL5TpZKL0wW9UNqm1WJ7zbcn4XkN1Fyu2s0ON5RHdWaPEskltvN7nf+UZWdeyWyO6k5h7YlLYLFXnaa2Pe2PbqyeEcxw8PxoDxxlgVTjwJ3rMKvID0LlOupH7510OAq3HMIsJ1Rbgys7JL9TfrIXbCvGqJHOVFObvTxlXG2krZBZxDL6J4oteuJJE1ONviABFE5AaUcTV2AyGIpKURQTrsM7z7HxltnGMwHDEQDWzcZlN2uKev6OcKpS3t2JHaFiBMjto8h81dTqzsnEHGHYxxplNnBxmpthhruddaTCeMsHlGcm7Tna/2nUTNNtHavQmlpJ8o7tpKGGaa85fnrMWSbhyPVd0kAyHoJlvE4ZUAbI5y8txw24WEwfWGM502QgZYpRidG9G8Z4PmmXtohoJ2HDgH5qFCK8vdg4x7pU1Es+0I4DBHZZogvoDZPIc8fW/iMHBEM1Wc20y4Yy1hlFtacROEJB9kqJFgdHaTVtqnEawRSJdHnQ5z7u6lnB/lmDNtRKuL1ZZ0KyOIR+jNc4TJFq2iHJJWhmSQcbafMspdOSIRhuhEYZQlObeJ2ThLM5A0oyJUOVEEYc6FUY6NO8imC1U2uSHdSlEbm8Rpn27swoiNMWSJojfInEN0u00QR07VVZqsn5Jc2CzOV4gUoNKMPJRcGOTY6DSi1XGhygayQU622acx3KLdvJZ2HGKMRee56ydRmG6bsBUjQ0GqDdlWSrrZpytxSnAo0VrX6vhqRNPV/a3Cm/sZdrBF+zJZlWIyplR2tQtvbjUcabeWfOhemoh8RDNsFufLmYn1E+VyyOOGq0eMI87ZIMMmfRqBoBlJNkeTkRYHWSc4kO5nJ3gl2OMw4V637udFt/NFPj/cdzf7W8UIa17bZR+jp9qJuvGm2NZuvmnVLKLrtpPSPVaOXZqjSuGVIqLZaHFq7TRrnVN0u206zS5ShAQ2JCAmLEoTBQQTCu800ZViXI6oDF+WslSAJ1XdaYIr5WxFt7y/jY2ulie39f24c2MnCHK5rNx2FpFdpNTOUmlnEdjpb8JE+aIZ7af7qWMxoV2wctt+jj6jslNHuywhr16q7zLEOLD2kEsk+XDoOk40Cd7zA+O8UOc5RHPb5mLcdmbN3mXdo2tEuMwNrqvBs4jv9LrpfN1q3zOOs/7QXd93FeJMMXHIAGqhzVCou1g3eTn50qnZximRBBHaWlKlubDVJx0OyJMhDZ1ghhvI3lnsYMP1sXaZ20ZCZpwhVKIMBmdeZGVhnJSNsMkIA4R5ijUKKV3t12GhknZCiTIWZIC1xhlJGYMd9bHJ0E26CDLlyvdARj9TZDp29XVzjUpyZK5Rw5YryRM5BTHPDSoz9FPljK5EBFI6IpZp5/o8HBHXjK507sbVT1RVKgjcWzw1UmSD3OUtq4QAd451bhyBKvppFdto5T6TfOgMuMJQFIqrcynuJTmjTIOMEIWhlk41+UhBOkKojFAWxNU4JXhQlFYSUUwQBlgDqsjz1UlGKEVlomS1QquQUaqwwRoibjj1uDh+laTOhKq2jcpdP5k22CCqDKVyY1HDHJMpQuHaO0Mp7Qh67lTwMGpUs5PJndEVeUrcFmOV1mp0rsmMU2llGLg8aluotGmOMIowcMoCxmCMK3mUKI2IY0Qw7kNl2hl21ZVga7DaVGZaMhjfcrUyqCRHaFWVSQKKfGXjXh7J8bGbwhzL5hkCQ7gMI91HRFISyZ37XMZB2sPjuGJ5ArwKMZ09zy9HgKeGs8TD9Hi/28c4S+2dT3zH4czTCm8gQqQMWCtq8q51uqx3TxGGESERoWggbUBIjLSC0EaEtnBxLs2qhCBgbFAVFMqtI8OiILM11VeKMdHdQdFdlvBWZ6EkmduU4TF9GivEdkKdnaXYbld956u0M02rliC3i8oQzcyIW1RaaBdq6sWeClYb8bi12U0o8A5vBaydfT7q18phwFqJMTv3eJRDyPcTJ5IEC2v3pgDXJr156uus3W8LUbY1Elq8vUQERSgx4/Douho8MUZZEFcz05RrmvzOEpXn5uvWD8Jqx8eFrHJ2x4dgCYUoShFZp+yCq71avBHODWhr0QbiACIJkbWgM2TaQxhFkil6bNLLBf94Ycj5rQGbiSMg7Sjg6k5IQ0gYbaHP3u7KERlnEhbGpxlmhs0k5/wwpx0HXNaMXRkfQPf7pBd6yLhPeMW1iGaXQF6G1oaz/RQ5dAZOX3FVl/WWUzzz/gA1yghbMd1Wl+YDIA4FubZsbqX0Q8nZYcY13QY2bGKURg0z8qErbXR66yyNq68nlAKVGdJRxh3nh5wdZlzZDmkXobfJRkLY6tE4c4FmskUjdEZXearJU80dmyPOXt7GXtFBBBKjXB6tDAPM5lnCtE8rXkNrS55pkkHG3VsJw1xzqtFERiFqqJxL9dktZLJF8/RVRAWxykYJW/2Ue/optnHa5bkCw0whNhKS8xvO6Cq+3J1LZciSnKSf0csUsrOOjCO0Ngy1JdlISS5s0Q1dzqqQApU6M6+z/QwTNglba8iCbKpRTroxoLN1ge5VDxiXI8ozslGDjUSR0SBsxVhjSQ2kWxnZZp+uSlzJo1CisxQhAi4MM1JlidtdgiJfOMk16eYA09+ke5UreQRgVE6WKrZSRaogbDWQkXRls0qjq3xEO2ohQ9deAZujzCnB7TZhwx1jrjRqpDDDHo1A0GqECOGIc54Z+pkm0YZuowWFEqwShRq6sPZWfNqZaRUvJvJM008Vdq1J0CjMx4x14ePJAKnSSmk/LPhwaI9jjx1r9q34nZpJgHfzvZxPhB3M9sl7x1Dl+eOa/TC+OIe3JLvzFF4hJK24w6nuaTrdLuudU7RaTWKajujiiK6wLpS5JLphEb4cSlkR3LBgiWXeblgQ4LHqW4Yyj39KYlr/u1KEmUNu5yi581TcaQW3/HuSBE+SWcl2lbYyt5o4/9vrxY77ri+bVnAXhzDPIrZzCe0ubt31q82wu6u/vv2esSTzXUR06+dnWiFe1PGirs2c/ZTP/oc1bxorliL5ngR7TGLGxDJNgHcivrO+INrW3iJWk5gAEYCVjly6Pc3uYOr1Utmkbn5V3bTL8kmFqlm6MBdpt2hjxwXbran1XRyrNWicYloqu0ExUZWmVSJPioPJQAYgQlJlyIzLi2wEgliCTvsMz93B6PbP0Tt3j8vLPHM1tn2Gvm4wUoa7+ilCCtbjkFONgFhG2GRIfvZurFJE1hAC8Zn7kBnn3HzbhRGNUHJlJ+b+p7tIGZEPRmSbfbTSNK+5g3j9MsL2ZQgpOD/ISHOD0pbNVHGm2SAWkmxrRLKRIMOAeK1DK+sTBy1yY0gKJ+Tbzo8cCV5rApAPFYOzQ/e5nruT5nUuLFsrTTpSIFLu6Wfc51STTrODlIJskNO/a0Dz9HkuT3q0188QhQF5ptDKcPdG4gjqvbqVS3C/MNpKzp5jbbRFOzrt+lSaZGDp9zI2U8W92msEcUSuNH1lOXN2iOlt0LpSjGvyjvqMeuvc1UvRYYuws4YIBH1lIVEkZzfpbJ6je/UDEFJgtSJLc5JOzPmhcjV5Ww2MtYy0JdlISM73OJUN6DQCAikweYoCF0KtLKc6a8giL7mvLOmFLUx/k871YRUOrtIhybDFVupMqBqtolaysaT9jGSjj8wGtBvOUdrqHJUOuTAozLSiFkHTkd2RtpXRVRRAq1Hm2Bry1NVxTrWh0WoQNALyIoRalU7MQbtwgXbKcT9R9DONOdVAhhIRCFJjyYcKO+wRBYJW5MixtRqVK9eHsohGsyLnOlFum2RIMw5qZlrjHOrcgozDiRBqMxoQ5AmtOCAowrEPA9KHQ3tc0ph1cU96VixjCDULYi4xddEik/uYpgJu7rcVcap/wYraCTPdl6Gquzc1hnoaVj1nt050oQxpLlXdECmiivyGoslae5217hrrLaf0NqNmkb8riQgRRhCKokqvcES3JLWhmHRfDiVV7u4skhswVnBFbb1gKty5UnZtdQZmEdudSG1doS3HRG0/7myPf69CnavtyuWTRFTOCFuetX660czXLbPI7Jz776I83u272N85ZXkiuR3zyOOMThzmNJ8mfrPO3bx4jIn9z4Gx82msRVTX49Req2SOQzPGMmK58kcnJB7ak+BlsIAALxtRvahZaRpVhSiXqjBzDLOqDSfrBjuiul1xFlMqsqjduk0RrqytCyWqNrXWta/Csm3VXhfliMpmxlqCMrRZpW6bIMYaDUHIIEnZ6PU5u9HDpAnkI66IDXK4AffchRn0AAi7pzEqA9FAGUM/L8sh4QylotC5Kg9H6DQnaG1iu6cIKMKEtWFz5Eyc+plGAaEMwLp6tGqUYYY9RyK67vjT3JCNFBtRRj91RkyxlM6Aqixj0xvQzlPCwIUEq2JcWwUZQo7DjlWiirzNAWEgCIuatM5ZWNPPNZm2LuxYShdGW2wj8hFREc6llUGnI6cIJqpQ1t1nnVvIE4UaJtjRgLgzDjtWGlRBHEXUcCWP7JSKWBgxudq3OXlmGBUh1FFhKJVbS2oEKkkx6YhYBtXkbvIUlWlSpRGdBjJyfWjrXJLVKHW1bANZqJ4aoXPS3J3fek3e3LiwY5uOXE3esDyWHFO4cCtjaRbKucGRR5MpMIowkGOPOe1yr5W12CAsTLOKY08VNk+LkGtnqIUxzujKuG1ksY07xqK+sM6LdHXpQvaBPDdkSkMQIcrwdetMy0yeEQhRhbVbbdDKmWkZi6s9XTBJo9x1YfOMsDk2ujKlAZixKDM203LfN4vVrlRYuERo8n5ieSX40sKLXvQibrnlFq688sqLPRSPA8MiAjwD+0SA6+vtEpFok47NdQI8O1/XbSOnxjBJeEtCPM7l3a7whqJBM2oXJYrOsNbt0m12iUSDwLrCRIENCE1AKIKC6Lrc3bC4b9QdmUtltwxxBggFVa5uWFNyKxK8A+FdpOQGE6HMO5PdunI7TXSnyxyV27oxbQ9RnrVuHrmd1wZmk9hVyg9tb3cwLGeWgrgsqZ71PB1MbTuXUJfPJ3PWT5zbecNZoH4u5I12cbj49Hvq6Qzgw/S49DnBk/AkuMS8CWgJBXjHXRf/LxJs6l8CY20VKi2FrEiyeyPMZH1dN6CJbevdCAEYM5Gvi5AgIyyO0JZqsLEWgmIKtcapuka7ncRuZ9pGjJQzrbLWvb0NpSDWGTIfweZdDHtbDDVsRGfo25jPnx+ykSju6ad0GiGXtSIuazacE/LmWczGWVdjN46RQYhorZEoy52bCYNUc1kn4v5n2nTjkKZ26mTWG6JGGWtAdGMfKV1+77lNp0R/6UybwXXrNKIWOs3Jtkb07x7QvvpuTp26nda1jyCW0ql0vQStNHcPM+6VNejGLfKhIt1I0YkmbJ/lTNKjdfpyAiHIRgqtNHecH3LnZS3M9addLqnSbG0k6EQxuuss7aK8jtaWLM3IM8Vt50ecv6LDDe01ZBi4HNYNRePOAfrCPTSu+jIaYYBRKSrpM9hMuWNjRCZCwpYjqFu5ITeW0d0brG2epXvGqY5G5aikz6jT5MIwQ7a7hK0YZS19ZRidG6GLEOp2HBSGUkPSUcbZrZRhbmi31pFhQKotudEk5wdVaaWSvOVJn3R0mgtJjj3dImy7EPJUW5JBRnJhhEj7dJsNwlBilUIpxWjgXKht3KxU2qF2dXxVr+dq8ha1glU6IhslbBRlkk43naGUtpZRqkk2EkQ6pBudIggDtM7BGNLEKa5ELYI4QASS3FqyrZS8P3KGXWFQvNfRZGnG1jB32zRayDh0ZD5R5P0cmac02rUcX52PX0yEru6vEIJUu5cMapAQB4Jm6HKVwSm7vUTRT5Ur3VTcUlJtqhcTzTOSdlx8jlmCUk1GmXOhjmLnwG1w0QaMBqASGkFnbMox/9ayb3C5eUuQ4EtICr7nnnv49V//db7lW76FJz/5yRd7OB5HATOckWc22/bsEMxsN27v/rfjCb+Y6wNsQeqmjapK0rtTnu74d9dWVvm70YTaG+CU3pAGnXaHM+0zdNod1jtdOmELgSDGpXqEFK7MUlSVDQI5VnhDOTalCt3gCQuSG7Bd0d2m/jImnM4Ay06Q4EDYCVILk8S4JCWytm09DLkktNOKrawpveXf1UZQ62s7YZ3M0639PnVLXJS3O72+tvvt7Y4IVZkkpovHtFAQWkRCqw2376G+Xf0zmEv2xGwyXX6ms4i0nBnpOSX7z4BhFgGfjBA9zM/RGIn2OcEVPAmehyVNr+aZRC2CtfWb41iRdfuok2aLkEUVuzpJn2NYVXDnal8C565cEWBTKKuyuCkX7bVxSjBSII0Lrxale7NKQEisDEGGWBGR6aLkS6FKqUHCZu9ORmdvo/8Pn0KnKbLZgmvuj+lc7gyocs2FJEdZl0OsbEwoBDZNqhq70RWbBKcuJ2i7c9JLVFVjt58q8lZAE1BJStZLXH3arS5xniJF04WLJhprLRcGmTPHKoyIjDJk/ZysN8QOe+4NdSAwCvJUIQT0UkVWlL6xxqBSjdGWrJ9CPqIw/HXmUFlCmig2hzk2jCtFMDUQZZqsN6KNJa4pm1rl9NOcYa4hcgqqsZahts7oqlJphVMQ8xSVO/fiTFtn3BQIVzYIUKMUmwxohLKaSHWh0g7KkkelqRKWLNPYxJUjigIXnmZ0jkozVGbIrYXAlf3Ji4spHypndBUIgkJ51HmCTkcMM1fySEbjPlJjUalGaEUUNAtvN+3OZ64K87GoUlyVLcyx0oxAChqyVElzjMpdqLoF4rj6nijragwLkzvTqjIqwzgTKm3B1kpE5WU5ojRDCmjUnjqszkkLtVkEIbK2jVYGtFN2o1CCMWidu1rFyoAMkFGALAiqMgajFLJQgscKtTMRU9YWSnD5nbcY5coqleWeXHunUCtr0cZWxljuO24xWiGMdnlzU1j1Bd0qEOLSDnU+f/48v/Vbv8Vtt92G1po0TXnXu97FQx7yEL7jO76Dr//6r6fb7RIEAddeey3f9m3fxjXXXHOxh+2xKubkBQtELatv+0vxWWHHy2F2SPKsYbk2tYf3bc/YY1VXiGgm8S1zduukd0LZRRIUCm9QGFSFQcRaZ531zhrr7VOcaq0RioCIsHJmriu7goLwyiKft1RrZZnTO6nq1tXcRYS3TnbduiKkeY6COx2q7Oqtrk50y23rRHc7+bUT7SsVeA6hnaW0Tl91q+XrzidKe1ESd51NM0GSFu+kHoo8PdQ6Ga2fs+k9li8/ZpIzYWceh/suzT45AjuXJM+MC5lxz1gUYl4e83TO9PQJELacWw9ncjWwLTR8FjwJPslYggBXEcbMuLGJyTYT+5haaK2duPjL8ORqmbGVIixsTdEt6/EKiZUBVjhzp1zXfB+DIry5LEWkHKEkCBFFvb6S0ObGupqogaAZu1xkOdqE4YbbpHMGbTR9Y/j0bee4/dwm5ze3CIzmfpc1uVcwItg6T37HF8n7A4JWg0b3FCJqkekGm0nO5+4Z0I4C7nN5mxsva9EIQsywx/DuC4zuvkDQjBFxi/jyBwEuh/Tc+RFbg4zb77XO5e2ItSAk2RjSv2tIspECsD7aJA7azrm5n6EyzT90+mwmmqtOdQFH5np3D+h86QLtq+6hE0I7cqWFRps9sqTFl84NufFMm/s2O67czyAjNZbojhB99k6iKx9AI5TkyYh06xyDjTVu2xgx0oKg4fJ1L2SaoRbc985zXJZs0Y1dCLXOUrL+Be66MOLsMEeeXidsNUgNnMs03Y0EfeEegmSLtWboyGnSZ7TZY2urzVAZTrVcePPIWEbGMjg7Ij9/gUbgVFprNflwi3TrAvf0UszVbaJOC20dOb+QGZJzmzSSPt3munN11oqsf4HRYI1RbrFxm6ARoooQ6tGFEcmFLZqBpIiWQ6cJ2WiTs70MG59GttoEwoUE95XLCybp0SlUWmsMOhuRJopBrrFdp9JKIUgNJFsp2ebAlf0JizDtQgk/P8zoJQoROwVVW8tQWbJ+jhn0aITX0IgKgpq7FxP9VGHbTYI4QkYSZW1hdDWiEzjDLlc+yaCz1Km0mUY0msg4wlhcjm8/w4yGxCE0i5cZGEOWuhcTNmwiwrBSqN02CZ3AtS9Jrc6T6uWHaLSQoTv2vKitbJIhkRSF0ZV7MaGVZlA4V4uogRDChZwnCj1KXe3moo9x0sDBoq6yLMJxJcrf9m3fxgc+8AEe8pCHEEURURTxlKc8hVtuuYVf/dVf5a/+6q9I0xStNZ/+9Kd5/etfz2c/+9mLPWyPfUCpsE4Q4RorrYcdzyKy80OZZ5lMzR3EeF8z1cH5ZDeUjW3KbigaBYFtIIkIRERkGwRErDfW6LZbnO50Weu0aTUiIunuS/V83bKueihrYctyTGgdaa0pvHWiO4PcjkOabUFYx6S2VHanldtpMjuRw1sp5AuIbI3E1gnsthzeqVzdbWHMi1yXFyi92z/H3a3bbdtlyMzu2ixWZOsIFhDOmSR8xn7Gqqstep9sMz8qys4d16y+rRWzw8wn/H22vZ1y+6u/rpr+fOwUIS7GZDhsd2ix3Od9CGM5CvAkuMQK9X7rX+bSVGriTaOt3UzF2ICqJMDlNm719L6LN1pFW1uoL3EQVARYqKwiwVZIp9Daou6rdupRud84gNAoRJ4g0p5zkg5ibBAjozaJMgxzy/lRTjsK6MSStTgitob8rn/kwqf+huEoZbR+BWn3Ss6v38Df3N7jjq2EOzYS1poh3UbAvc5E2Dylf9tdjO7eQIQBV565krC5hrFX0ksVX7yrh5SSfqp41LXrnG610aOU5PwWF76wQdCIiDotmg8VxFLQG2RsnR0SNUK+eG7I9esNrotb5P2c4dkhJncPHtecv4PmFdcRSMGon5L3N9hshdzdz7h+rYuQEp1p7k41rVu36Fx9N2tpj27cxFpLsnk3Moz44tnLufu6deT6OsY4t+N7UkXjjj7m/J2Eo02aUYDOUvLhFoMLm1zYaDHINZ2mK5ezpQwoGNw9RCY92o1uYSiVk26dZ7iVctdmgrm6Tdhuoa1lI9e0U8nobucQ3WqcLkhdSto7x6h3hkFmuLztTJVSY0i1ZXR26Gr/RrJSafNRn7R/gbP9FBtfRtByJDw1hgs5pBd6mP4G7fgygkhglCIbbpKOcrZShT3dLsyhLKMiVDndHHAqFARhAFKi8wQ16nNhmGKjFqLZwZXkgr7SZL0M09+k1b6BOCwMpbKUbOScmM2ZtgsjloLUGLKec2JeD0URDi0xSqHSIf0kp59rZKtTKc5DbcgHOXbUo31mXI/YaoXKXN61CVvIIlS5NLrKByMiYSuiDS6/uZ84gipbXcLCiTnVzr3ZJgNCbOWmbVSOVpZhpjAyqoh2biyJtuTDhABLMwzGyq5SDDNXwku0WpUxVm5sVYYqCkQVCu6iBgyjTJNrC3EDWTyBqty4CIAsIQ7kUuHJ+4VlleBjyoH5y7/8S/78z/+cr/qqr9q27tWvfvXE32fPnuWqq67i7rvv5qqrrjqkEXrsG6bVYFE+Chmw7rWSxVbEc0yAo6kd1V9BTRtcbQ9TLvNutxtTTaJOnN3fwbY8XSmcihsU4csCSYM2IQ1CQhq2QWBDOqLBqbU2a90ma90G7U5MHAUEAqKC3IaiCE8W7qGwDFWuk9tSwQ2krUKaZUFOS0IrC6ILY/U2qNaPCe24ZJEdG1iJMfmvE9i6AjtNXpclruPnrfJ/O/F/+fusUkQw+/FwHgk9iFvyToR3ManZOTx43vZz7WhWHMuiZXJmu+L5t9aRZLbaO02YZ6mcsw7Psr2cn7Vim+JeRVbWlGgx55zW85e3hVuXulbxSz1cvx6ZcNAwLOfC7Umwx1Kwtcm0IsC1O0dZK7dE+YWqE+HKcKjWrgxrtrh9WimcSRbUQpt1sX+DKcytcuNIMFgCKZ1BjykMfrKR+z3IEc01RNwmM5Zepjg7zLAqo20zsobGnL+N0d9+mOEXPofJNe17DwmvCZCn7sso05ztZdyxMaLfDNm4eg0rnENy1huRbjqHZNvfdOHUgTO2ykYKY+FsHDBSBRk3FpXkJBspo/NDss0+bSxhINC5JRslaBVxfliUpQlDZzKVKPrK0NxIMMMesSyciFVKnvTJRopB7syewijAGENfGdJeRrI5QuQpkWw5o69shMlTskTRSxVWjkvSjLSlryx5f0CkEqIgdCQld0plNsrJtSVsxEjpVMfcWJKtFKESwqYYhyqrlCx1+aEEnSIc2qmOQ13UJk6GNMPL3PWgcnQ6ROXK1aWNGlU4dF6aUCUZbSEqldbqHKMcsbNBDHGDQLhrKTO2qMk7ohG7MGJrNSZ36nmiNDYYuxeXSqUepU4dCARCSIxWWK1IcoOVoQsjFi4kODWuxrDNMsLuOIzY1fHVZMpikcjI5eUa60yoTJYjrBkbSlmN0TlJUSuYWn1dZS0m19gsJZRyXI/YjGsLa2sJwnGosskNVmkXRlwLoTY6J9MWpYvvsawduzLYPK22Kfsw2pBrg2YyVNkdi3J1f0uJoziWvAi5Rky2t9pgVV6ZxlTff2PJlcFAVbvZbVOGUCvC+HDppkvM2LnP40qCH/3oR/PABz5wqbZXXHEFX/d1X4cx+1LUw+MiQwi5Tc0de7YKhAipq7olrC1JcFlWcGxWOSbA4YR6W1/nfp80spLbjKsCpAirEOZQNJ36S4NINAlsSIOW+982WG+06XSaXLbWotNt0O3EFdktjRejQs0NaypuPWw5LFTZ0llZVsTVTpDbsUlVjQQXDzwlWZZirNgGwhTtJ0nuPIJbJ7erEtuZRLf8v/YxjtttXzZecHiEdzeYR8q2tZtDRqePtwqCCLa3df1NLa99dcp91fdYLauHRYvtCu32ZZPrA7H9+MwUXZsZyjzznMz48Ladh/HzW7mf7S8kZotk02pyeTVPh1C7O8HhUc5lleBFJmGXEjwJ3gE7lUHS1n1vZI0AlzVzyzukFAG6UHjLzcu9jicR93ZJU7gJG0shdBJIkNq4EirWIPJRoQZbCAK0DLFRh9xYeqlxOafAmZb7eNsqQ442yf/h49hkgIibiPtDf5jx+TtGfOy2s/y/z9xOKOBeZ5o88b6XcUVgUOfv4uzffoF8qDjTG3JaKeL7PoqNJOcfzw2467Ye52PJ5y7v8IR7rxMAw7s3uPD5DVSqWb/vrZy54jrCa25gmGk2z41QaYrKFLf3Uq7rxgilyLZSvrSRID57gcZ6g26yRSvqkGWK/t3/gAwivnjXKe64Zg1xpotOFRcyzR2Jwtw54MF33k7rgYIwkOSDLZKNexBhyD+ev4GHXtXl8qK00PlM88VBTufWHjLZoNV1ZDPtb4DR9M6P+NK5IfY+XaSUpMZyIddIIRjceZ52/zzd5nVonbvSQhfuor95NRdGimvaLWQoGGr3oQ3uGWI2z9E68wCCyIUEYzTDzQF3bI4w8VXI9lp1HZ3PNKN7LmB6F2i1bgCcSpn2Nxht9lw5olaHsFBpAbYGGcnZTS4rVNryYSobbHGh52ryymbbGZBZR+aT865ebuuagEYcYLUhz/pkwx69RJGLgKARVRPLVu4csqXOaMWFe7LR5KM+g2FGZqDV6lbK6kgbBkpjBpu0rw6qMGKjFfloyCBXpNoi4xgZuWMZZsr1kY9ol8RV5Zg8YzjKGeXaqc3FvlIDoyKMuBkKGoVC7Eiwa58pkHGECGWRK67IBwlCJTTDqHoIMiqnnyiGyoUqB3GtJu9QYVN37M2C7FpblC9KNbnG5QSHgXv5YS1qlCJ0SiwbBEWYutY5aaEEuxxqWYVDq9ygk4yoIPNCgta5y0lVhlwVecTF+XUu3xlkCXFbLu1DsB8I5KVdIuld73rXSu3/1//6Xwc0Eo9DwcQc3cAKg7V5sTIAQUV+y9Dj+iO2tQpLgLV5QYZdlVSndpZhySGBjF3+rWxMqLmuX+fE7HqMnOJLiCRCioDIOoU3okHDNglsQMPGhEiaMqQThLQ7MWdONeisNVjrxjRjSQhEwdiUKpa2UHkdmQzlmLSOye94WanaziKyJSGdR2QDOanGOoW3JMbu3JWqa119FYzJ6TQxFVMEuL5uYv308un71SKiO6v9tgYrkJVdkoglTMIXk5hZIb5m+8rpZ9nZau2s/U8/E4sJ5rl4v3ZyPGJ2bd36NtPj2kact62fGeNc+31SbS5RL3FUEtZpQl9XjqtxlGZaMxTjiXHOULdhrALLcuMD5sPLGmMtkzd8KcCT4BUwuw7wlBpcGkpZ45RbIbe9TjOWWuF3MVaQhctHMpbCaMd1qK17g6uNK0UkVIZQqVOpogYiKkr3aMtmmtMrSv00QkkcCLCGtHeBs5/9JJv3bDA0GnEuwVxxA1/qN7jrXJ9/uLvn1FdjSe9tsFGEGiT07xqSDzIa6+dpXr5OC0uSG0ZJzrCXEIQBZ/upKy0UhOR9p+pu5ZrrL/Qw/U1nQGUseTIk7V8gbMQMipI8MaAyzUZuONNLOX1uhMhHhLJTqMQDAEb9nAuDDHtljDVOPd3MNZ1AkvVcTmUUFPmU2RA12GJzlJNqZ3QFTt3bUoZ0I8EmQ6JTpQTvXhpkSc7mKMOGZ6rPCVyIb94bYpMhcRi4ekw4l+Q8GTFUGuJxCSO3jcGMhkRBqSg4qHTIKFHOTKsoR1SOTY1cDdi4KytF0hbHkyqNiGJkKKtQlqFyarDUeaVUltuozJX9aUSNKlQ5t860ymYjYiknyxHlqStHVBC7Eql29W+FyV2IXBlGrBVauRI+hHH18FCGBZOn/z97fx4sS3aWd6O/NeVUWVV777PP1JN60GAJNIBAsgxGcJFDF+4NG/xdbGMDMmA8BQGSbGwTtgWBCYiAsK2ww2GBHYBxOD7LxkAQvligUPj7sEEWYV0QCIGEpNbQ6j7dfbrPOXuoIYe17h8rMyszK2sPZ+pu9X47dp+qzJW5VmZVZeaznud9XgIlGhkx1jO7y8pQrTb5Kp0jd1AsS1/2RynPUFtbsa5e4i9C3UiCrfOmURS5Z4Lrc+VKf+ylo8Q1n0fpagbV/za1CJsblS1zbFWOCG1WJl/Os7GuWIIt/Wxw8/n63HvrHFLrFaB2+ItEizn2KyzOOQprcVK1jLFWzG5TAqRmj8ucrLAUzoIyDe1h8WDfFfldzSOC6iH1Lvd5FmdxknD0i46cLoTQCOyaTLANZtsssGeNZeuB1eKcRQrVbCNl4BncCvwqGTaMrhQGSSVpJkQK5Z2ZnWd4AxegnMY4b00ViYBQKKJYMx1HpGnA1iRiPNJoJQilv34E0gNeKcBUQNVI55ldaMCvFrYBubXBVFuW3KjUpGsArpQrhhfqfF/PArTbtxnYms0Vsn5Ps44BoLsRwPbBcH89rAHUocm4I0Hubb+4uc4/G1v1vnT9MQ49dwrcRpDd359zYo3RxXUP19nuuW2btNX7WHXeze8VojuWvhmVEAP5wB16deAgTjPZ0ArPaveX9bvro/R6Imy1vKvKXL+yOPrn62jG2PXOTz/uVLmqofDPHce3u3sjem7jDARviJO6rGalN64SDoTNEGWOyLwcGCFxQYJQxtexbdXXrRkc6UpEkSNsgZAaqQyZEGQlzAvra8pWEhBrJIG1sH+V4sYz2BvPgA4IHv4SxOQeFqXjY08d8OjTBzz57B6v3NXcnwgeLq6Qf/J3+cJ//Z/sXzlAB4qHpCSMUrLiEp97Zs6Vz1zDWceN3QVf/cgO50cjsv1Drnz2OleXJQ/PC6RRjJYHLPOS+X7Gjc99DCEln76UcpBZRipgcX3BY7Ocxxc5937iKtNHnsC8yh/z/NkrzK4+RjE/4NNXH+DVl8acE4JiXvBM5kFx+uh1xOE1ou0LlEVJMT8A4MbVQz719AHuFbu40kubLfDYIufgsadItS8xUyz9uV/ceJrPPTPj6izjJVHYAI+9ouSJg5zy2lPE961qswIcXv0CV69NsWGK1CsX5qV1HDyxR3HtKdKLr1p9+LZk/uwVb3QVj5uyPwBPLwvsjauYMkcHsgFkixtPMTu4h0UpSOJR58J5+PQMu/cs6T2qA6iXB9e4tsiRybgpkwRwLS+ZP7tAZIeERiH1Kl9tOc9YFI4oGnVmLxfXlxR7+6ShZ2lrOV92uMfe0pcw0lHYtK8l5CKbkwQaWY/LlmSLgmVpmcZJAx5z5yXkxWxOpBWhXh1Hkc04XHqnaxUYVAXo51V5IZEviU3sa/I6b3SVLwsOlwViK0I0TLAH2uV8RqjbOcHe6OogLylKRxDWfXgH7nxWIIqcQAuU8p+JzyO2Xm6uw8q0yvexLC1u4VUX0coa3Ltc597xOTQ1mK9Z2hxRFh7QKu/O6qylzB3zzNcWllVOcllJ58tl5UCtfFklVxTeGbuwPo84CJoJgNxCmeW4fEmgZef7e6fDMz/H9/fFUCLp4Ycf5s1vfjPvec97CMPV7+Hq1au84Q1v4NOf/vRzOLqzGIpbAcJG+4lkawusKwAa+bIHtKtrq3M+vaOwC5yrgbOtsilitEpQMiBQI5QMMTJGYQhESkiCwnhWF01oA0IMSkiiKqUnUpJE+7Js09RUgDdgMjYERhJKz+SG0mFkgRIOI6xnfaVFV7m1ugKwUjjP6IrV+xrQ1qB1E2CtwWr9WogWSBOrh3chado176s2vqPqregtb7dttWvWDX2cx8z+3c7rzyCr2I4jWNvBTTfl2A4tX2NU+/vqN9i0zwEQ2mdPB4Bzd79usO1qv10Zc995eZ2t3TiUKud21deaVLsHLttS63VZ9woU1+NbuUw3gwO6p7OX9LDGig4xxu2eVW8iYJN7NYB09UTU3blvnlwOfefH8nyIMxB8izHLLVJI/9BbAWC5uOHZH6X9NS9IvAFTWefrgjQ+X1fmc0Q2Q+RznNS4IEYFW5TO8fRhzhMH3gH5vknI+SRgKiF/7FMsPvcZrn3i8wgl2b7xLLPgEp99esZ7f/33eOwzV9m/NuMjD+/wp162ywOPBLjFIU/8zpN8+tk51kF6+RNc2r4AFy9xbbbk2U9/lGy2x+GlB3n0K+/jpdsxLAs+eZCzV5QcPu0wf/A098+ukZeS+WFGdnANgGev7HOQW86bkOVBxpPLgqV1PPXZ6+x+5nEiVQPAp/2/157k008fcHWWc8FoyqUHYntFyaefnfMVV68QnX9l50K5/8Qneeo+D1CFkhyWqyvx3udvcMFIkkBj82y1zbU5Tx9kEI86uZuPL3LstacxZd5IbAFmzzzOwY2HWZQCFerOjOHBlQOKZ66S3FdJm6uYX3uSqwdL5GiCDtoguCS7dp1kuY8xLUC79yzzfc+6juJxJw90fm3B8roHqKI1dZsdXOeZgwxxzwgZrB7GruclixsLRDYjCVSLqYTFLGdeWHZGY3QbUO8tyW4cEBtFHLbybBeHXDvMWJaOqNXHYWnJDzNEPveuyi1EnS9LstLhdNQ9j6Ul3/duz20QXC7mHFTlntLQNKB2Vliyw8znUAcgFZ45Bi89zkqcClDaG0Hl1jsxl4sMLfE5wVJW+c1L5pXKIAq89Bg8o11mJZRLlKEpn2QLX/N5XpV7UmFVigkPhMuswNQlpdrsfOHZ6CQwzXfL4ipGO++UlPJmWiWL3IIMOuWhcudBbSghqPdvfc7vsvD5zULp5sEutw67zHF55q8fdxFvfrEbY7XjM5/5DFpr/vSf/tP8yq/8SlMKqSxLPvvZzz7HozuLTXFqIFzdZEbBRa8kqRhdoMq/DVd5uUgslsItsS6nKOfkMui0D9SIUE3QIiSSU4wLGbkpxhlGLiKRhkBKYi0JlSBWgtQIQgWTSDAeG7ZSzXSsCBNDoj2oDVWOUQuUdGhZ+tQEVaJUBW5VDcJdBUhBqpWEWNa3k0p32Qaj7apPzXJZgck2iK1XttpDm3kT64m69ZrbJVs5yQXoOOBaNxsEnj022fZBVa/90D7qCpabNupv0waER7TtrBqomNnfV/u1WOuzC2qbcn71V6ZhsUWnHfi2ndzgNhDeMN51EN5i9HvS5w6D2sbirT6bsbTkysflHffzjfuMdSffuAeMZY/trqP99RCsQHF7H939D+zjLqNNhxisgzzU7sUQZyD4FmNRWmIr/EyRLRDFEpHNocwROsRVUuXSeda4ljgHCgLnoPQAQ85veKMoZ1HRNs7BtUXOYzfmDXA2UvLASLD3xGN89vc+yaP/61EWznLxcMZ09zU8m0VcffoG16/us/+FTxCPX8fnziXwijHOWZ7Zz/jc3Oc87X1hjws3nkHfI7z5UAVo51ef4KkbC5alI7CWvcID1GeygoNn54hiCcS+hmp9Dq4/yywvIDCUi6LJi30msyyuz9iqaqDafNlsMzvMmVVGV7ZcXQSu5xY738f05DvZwXUWhxlWeYDWvvgs9pbIMieUogNQs0XBQV7JiFs34YPCUszmhOWy88Bk8yX5siB3rmGOV/1nFIslgZIdltaVPqeUSdCREefOkR/6mry6YgTr9kVe+j6CoANiillBMV+ihWxAWj2uRW4RJkSa1U82t45yUSDKvGIRW6xrbv33RqhGwgxQZiXl0ktpTes4bJGvJL6946ilyqaSKjf7KkpfJ1vKDjguHJXEV/g6yS3wuMjLpo+G3XTOO33b0te1XmmVsdZRlLWMuJY3u6r2b1ExqK3P0JW+lJBzSOVZ2jq9oMy9MVY98VB/JmVlQuWkP1eqcnS3Dlzha/Ia7cGxc9bnK1u/XkiJlKvvoyu9HFr2TGSdc1i/ga/93ZJQ27xEVqep81lZ6/fbOnagyi+3dzUfGLxx10ncqL8Ybp1CCN73vvfxd//u3+X1r389v/zLv8xXfuVXPtfDOos7FIncAqCkaNQxUhifp1vV1QUoXU4hPAjOhEHZsHLy8HnDoUyJ5TbGhUzsFsYZxiLCKMlYa9JAEkgYG0E6UuxMAnanmtFIM468dDnRBaHO0TIjNAVSWoyxKF0iFUhdSZB1lWklaMythWoxoRXgrShbv6wDYKvFPeC6YnF7gLbZtr5+tn7px9UMOkmcELwOxjH6ziFGtw9wO+B0A4JrA7C1dvU4VH+V6O5bbe5L2P55XI2/WWPp9CEkg6C4+Qicb78JRHdMwugeX5vfFH29b9OmHmRvsqMDvPvs7Wr8DVjssbrtY3A9efHa9632pWNdhryJKR5+3xpX1U1zqO3+ByXUK9fo/lRcs4tNEmnuXpQOyv73bCBOIpn+YogzEDwQJ5VCAzx6bY45lxAogVgeIg+fIf/MH+KyBSIaoR/6UpheZlE4njrM2K9Yzwe3IwKlfS3eq59n+egfgA5Q2+cJXn0OIQJ+/4k9/uv/+gyz63tsbSleezniW18x4dnf+B0++39/ig886oHr11+b85V/5gpB+hDXnz7k6sd/G2zJ5z/8QaT8U2R/+iVoIfnU4YolffRjV9n9E58lerWkaLGqZTbjE1f2ufbyXS72nE9/f2/JVz9zBXiIfDFvlt/4wid46vDNvGoUU+SrbR6dZbzsMze4pEUjWa1j75kZT82WqEB3blB7RUn+9FOEZd5pb/Mle88eMs/9TPeiNebrTx4ilwfEgcYWq+0Or+9x5foCuT3qADuA2VPXiJYHjatys/z6dea57bC6AM/OChZXb5AG/eQaX89YviTpSJUBFtf22V7OGPVY2uXBHovCQZh2pMo3lgXLG4fERnSYYIBrh0ucDtHRqg8LvoZuNiMJ0sbVGfD516XDmrBhQwFms5x8tiDQglGLcS6zGTfmngneisPGBXhW2EqqPCcJt5CqDbRLlqXz+c1aNs9I89KSHy4wsscE5xmzahvVYlAL5/PCRZn5upSqvY3lcFmCCpHGM58Wz6IWlWu10RJZyY5ttmS2LCitN8aq5du59UywKAu0WMngbZFT5t6ECqma/PHGaT3LoSzQKmrG5IqCsvCTDEKvpOveadz3oagcu6VsSh4tcs82C+1Bbd2HLUoUYuWMbW3HGVsYn3OtRDVhUJS4YunziHsPA+JWHiSPCSHWnz02tXuhh3OONE35xV/8RX7wB3+QN7/5zfz0T/80f+bP/JnnemhncUzUD+6nYYQftj7NpWyVPFJOoYT07q3Vzyp3liU5BSW5yHHK34cCFxKgGREyVoZICaaBJFKwE0AcCM5PNZe2BKNUsTWGwDiSaE4YFSjjULEHtjIWiEj6idigmng0BqGjVT1GWVG4TTLu0FGd8ofYnileA7XHtB+KIef0DhDrA8hNlCYbGNeBa10bwbXWdxnL1TrX2Yfrblfvqn1NtSsw6pwbOIbVNkNM8CCAHmJP2+1s9V0eaN/gxw6QXh82tgdwJevy6ZoF3kBmds5VcxJawK/ptwKwatVHn71t99U2mFot7zLRfdZ2bfD1xAy9c9wxTNtcL3g9NjDEVQyxt0dJqPsscRus3+30IXvGBHfiDATfQggBX9hbcO84YhwoZD6jvPYU2eOfpVxkBNMx+tIDOAdZaXlif8mNpc832k0CUuMQ2ZzimStc/8NP4pxDnd+mmD7EE2XC//7wH/CZD/0xi/2r7F2+Hzvb5s+/bEJ+uODGtRUI/fzTM15//SrB5BHyZdEYPZXZjL1nD1kWDq11w9ACPL4omF+9QaAkZe8Gszjw5Ygu9o73oLDY2b4HIi2w6UpfZ9WpuMmjrWN5feGBTe+Hvpgt2ZvlCN2vuwj54YKoXK4tL+YH5NaztO0h7/lESbQ0rEpW+PYHy6ICEd3+89kCUWSrHNd6+eKAvHTroLkCdoGSazf/WVaCCtY0X+V8iSuWGB132ONyOScvKga1fa5KL3WVrVI9zfkqLE6ZtXHlFlyeVWxoixEtcl9ayJjOsRfOYbPMg7TeZ5KXVTmi1nJv0GZxeeYl/61hlXXZH607THBZATUlwOgWC+58rm5hXed85NYzwa4sqme7tjzKkVtL39mjdJ51FQJ0jyWtjR9EXe+jHlPpqHP36uXOldRu7AjvwuyBts/fd6VFOFuZVq2Ow9VMsJIroyvwJXOcWwOCNXPc/45Yv9IrCWmVbnJlw0b3LZldaaG0q3qc3J04qRz6iyHaDyY//uM/zpd8yZfwPd/zPXzrt37rcziqs7hTcU+YYKs8xsryyisfZBdMF9aR2dBPwlX3OiV8Hq+Wgkkg2QoEaaI4v2WYpoYLU8EoFkyCjHG8xJiMMClQoUOnAjGSfmIsNqAFItRgtL8HGOV/dF7/XMmSq+vBcTNSazmjpyjndRL98lBtx039dUDdAEprAN4wA9sByP3u7IZ2ndqUA+1dBQWa9931K9DXGptasbpiYNyuni2hQyGutumgyuqfFv3YfKINe4n/zG3TY4WouoBYtFyF6zG0JdCuZv5brPGaIVevbXv/zbbVds2Qh5jiY1jizvYthneIid3EErfvQ2v7aPfTjKPa3QArPCSXPoqRhg1f/Z5kumaJazAsqmQN/7r7Nfb31rtzc3Xu1kQXX2xxBoJPGf3v6Xs/+FmmX6uZhFPc1S8w+73f5uP/+bfID3LSe1JePpqQv+SNPHmY88sfeZzPP32Is46/9FUP8ifvHRN++g/57K+9n//r3/4Wz+Ql92xHvP4fxthX/z949PPXuPrxDwFw8Pin2Lvycq786YcxWc6js6IZwycOlsw/8VEmL3sT2Wy/M76rf/hBri/+FONWOR7w8uZnPnmNXb3+w7t+9ZCnDzIeGZjpLZ59GjURlMt5Z/kTNxZYve1de1vx2H7GG4o5YY8Jnj39eZ648QAk8Vofs6euMVkerJ3r+bOPMyvKNeD65LJALg5I9GQtX/fJGwvEy0eosAsVls/uw/Kwk68LkO09y2FeshWYTk3UZ7OS5Q3v9ix7gGzvYIkNzqHjsLN8cWOOO9wj1KOOaVU2u8FBXuDiCNN6kNkrfB+pEijV7eNgloMKmhI+ddzIS9xiRmguoFqfZb44YJZbiLyjtKyuurPCkR8siLQgCbsy24NFZYwVBh2GelY63HLuzbda47WFz212kWkMpcDn0tosI1CiA1DLbMkiL8gKiwwN0vgNCueq2sJLlOrmuRa5ZVkxqFKrRo5bOJ9LqytX8CZf1/l6x1lp/ZikB8BNH4WfZJDSTzR41pUqX1eu8ntbLC2ubI575VrtDXFkq3yRdQ6bO4QrKtd3X1fZOevd0UuLEwpl/DbW+bGVhXeTly1gjrXkhaUsLSLQHUfpsrBQFjDABN/JkBzrSQN8ccih+/LJb/u2b+ORRx7hm7/5m5+jEZ3FaeM0+cF/5h7/ANwmypTwjsltSWRmJUurmgfYQDoCBVsTxThVnN+C6ZYjiEri8QIVOdRUIiOJmISINPEAN448wI0jMAaUwgXVv0pRWfHjarZ3EyitkUw1QOFsa1l7ve2BzmHG9MhlQ9vSkxUP9WFbT922Pd6BZf127X32gfIQyO4D7LVtWvvvgV6/7QpcNgC5d46PAssdUN1nktvgsMUii6G2bZDrXCWhrpapFivaHPdq+0ZS3WZ7Oy5VrNbX0QLGx8moNzG8jQJDsQKDdtXwphli6LLE9GMDQ3yUA/VNuzG3J+h7Xbjh/XZOc2d1F3DfrXBOnKj80YsFKL8oQfDBwcGRsy6nkUP/5s/+W3ai7+LcVz1E+uH/wUd/9r/zf/7WY836t59PSV/3f/DBT17lV//D/5e9xz4OZc7Tf/wWPvcn7+H/ff33+KNf/yi/dc27Gn/8YMl9H/i/uee+l7GcZ52+9r7wCT5yZY8/GQfs5WVn3dXf+xT3f83Tg2N8epbzkh4IBnjyiQPuGyj8efDUYzx98PDgvuZPX8NsS2xPrnzlxsIbf/V+OE8sCsTysKmzWsfs2Sd44voCuRWtfRaLZ/aRyxmqN7bl3jPMM4fsAfdreYmd7ZFs3d+YlABkB9eYH2aInlTY97/AHdwgNOc6y7ODaxwsS3ZC07nAXctLFteXnJPdnGCAbF4MAtRsL8PO9gn1vR15c364z8GyxI3DjmnVQeHIDjx47PeRZyXOhGtAe1467PyAyMjO5EC5mLMoSpwOUG05dGnJF14SrHvnN8+9G7EMu8exLB0uzwiN7IDgMluSFdY7HhvRAc7FIkcLQaRX58vVEl/rkBWohcpV2VrIlyjEWv5rXnqpcvuU1FLlQICW7ZzromKbLaJV8qh0+BJJRe5zb9useWnJ6/JF2qBEBU6dw+Ylriw6n5MtfU5wzebXANWz0x6gSrma2fXAmeY4Osyxo8k71rI9i23Jy6oUlFTNZ+tZdostixPl597OUFKcCHTfTbOuOxV2QMr5pje9iY985CP80R/90XMworPox2iUnog9OQkQ/ta/+CSNeUDNmmkB7fuGdbiFxeUOtEYkEWKaIOIQkQSIUEEa+z9jIB3htIZRjNMGF4Y4s658up1x08+tfWA5xLwOrbMV9GkBReFaiMq2tm0DcWdbYNEDTdEGwWvA0/UAdDWw/rJ2uzagbB9fGzC3abEhEO5a++6B5M7EQ7P96rz47lpjbS0XNbitl6l64q2ecfHssQdIogLCYgUYG0RY9VN/Ta3oYcK6vxUjW/fVNLM0YLeZa+mD4vow2qC4HksNajtfmSMAMS2GGAbziPs5wB2WuOMktpkhrgfdZoebY2q1OF3O8HBffUDcOdwWm91mhxvzMdqv73yUTlCeAARbxKnKMP7Gb/wGP/mTP8mHP/xhnnjiCX7pl36Jb/qmb2rWO+f4oR/6If7Nv/k3XL9+na/6qq/iX//rf83LXvay0x/EbYwXJQj+1Kc+xWg02rj+NCCY5Q3+6Hc/xh/sZrgPf5zf/P3HucEKIH74tz/FpT/+JL/9O19g79MfbpY/+Yk/5lMPT0HlHDxx0Nnl1T98isvXrjDEu3zm6oyvjkLK3jTN/pUDxPJgLZcU4CArEOE647qXW7QUfbUl+WzP55oOMcHzDNkzoAI4XBZeatv7Lc9KCzZH95NvbUmRF74Gai/yWQFltrYcILNl46Lb3Wg5+IBeZGXHVGl1HAUuXw6aC2XWIqRcAxnFshx8wC/rfNKemVZZAai2ORR4EFWDm87+ncMWbsVUtsIWFm+qJNe2cWWBNKIrIy5zL9dr543VfeReSmtUN/fYWktROur61XXkzuGKAhV29bCuPo6B75wrSl9uQwiEbPdRGUT1jqN0sElGXFqaY1/do52XKiM6cmBnrTeUqrZp9uNW62tFoZCepW2bVvW38SZUJQp64Lx6UbVfTcQ7nHNVH+1Z41oOvf4FcmXr4csfdLNNObCNa8009b+/p7p2nTIEXxws71Hx1FNPceHChY3rz507RxyvX0vP4u7HS1/60jXFzKY47nur/8JbujRNxb661m9elBaKwv/VezUatMZFoQe6cQQvxO9Hc62qzudJzmuHJV2BRlcD3nabPlM9wFK7NphsS5b74PgkwLjfRlavnVixqm3AZ20lZ21RkfX2ta5YqmpsdiWLsdU5qw2x6vEpgZcAe1DbycWtx1nLpOtJl/oUttv0DIyErMF1i+1lxcavSZnr+po9cFtPDLl6nV01bfbrHzn82FtAuGnXNuRqiRVcf1+VTLjZF13pcWffsgW8aX8cbalyb9+wBoY756zvCt2TS7tN7Y6RS687TXe67Zpqtc6DX7fKGb7bk8b2DjHBh4eHvPa1r+W7vuu7+PN//s+vrf+Jn/gJ/sW/+Bf8u3/373jooYf4x//4H/PWt76Vj33sY0RRNLDHuxMvShB8XAjnjn2YbBvQfP4jv8vnv/I+zv3uZ/nYfjeX9Xc/epWvLSy//8mrneV7X/gEH/79++DVlk/vdbf5bx99igf/fx9C6a9a6/cjf3yVv3Z+CyMFy9Yv7PFPXuOVT30WGYRr2zx1sMSOk7Xljy/yqsxK91iXe89wbZat5dECLJ7d82kxRZcJvnGw9OZCAyGyBYFan3RYzIpODdRm+fUFdj5bA64As8wSqvVx2fkMvd6cbFHgdNApkeSPcYmdHxIM7Gueld64qbcqP8zWgCNAtqwY1x4TnB/muOXC1wlugStX5iyLEifjDqs9Ky35LEd3sRjgTaicCtZZWluxtEnXobnMs8rx2Ofrqmo6N7c0bsS6D0Srsj/9PO3cOlyxREcC1e6jzClK5/vQqiMfLwuLkjRmT82+anZT64adzyu5sitylKAzAeDKopERtycZPINarucQV8xx4RwouZIq44+bspIqt2eG2wC1Lp3kPND2JlTFWh/OOQpnQa3YcUuVd2xLRJXfW08YOesorfXyRtFmj50H2s76z72++Vufd+yZhNVEhn+m9Az13b55Sr74jbEuX77ME0880QDhV7/61fzqr/4q999/PwDPPPMMb3rTmyjL8qjdnMXzLI57nrMPPnjL+3jRhRScGDRXYNi1GdYaLLcBb/27agFlBy3W9gQMcv2+L70eAsd9trgtJW/6lK39tLdtHZttoUHbWu4sKFGNcbW8YTOlawFJj6REzQYr4fN7W8xw00b5cTRguHJvEg2rTAv4tsZU5yz3wXAvj7i9fcOaNjO9rftUG1xXiLLPJvtNqv0POEw712KvHWtguh7PsbnDPYC6yVm6AbI14F51PdxuQx7xprzh9rjWcod7QBg8AdB2mb7zIU5oenW6G/k3fMM38A3f8A2D65xzvPvd7+Yf/aN/xJ/7c38OgJ//+Z/n4sWL/PIv/zJ/6S/9pSP3/Ru/8RunGksdDz74IA888MCRbV5wIPhf/at/xU/+5E9y5coVXvva1/Iv/+W/5A1veMOp9uGEaEDuzbip9rdZXHuSvVnO/Opsre1jC8/IHdxYrK3be+ppUJK9AfB48NjTqIvrN5b9Z+cE948aUFPH1WWJPdxHqe21bbxx0zrjurSOAQzojylfHxOAzQr/YO+6D4FFbjemEQnrpbH9KLLC10DtPVmXWQlFBqzPDhXODYJzyrwDwprFRelZ2h7gs4U3YjJ6/Rxv6qMs7KBplS0rlrYH2svcy2/V+rwERenWmOBVHyspbbO8MqxaW17dkPustXNlxdJ2t7GALfwlsN+7ta7qp3d8DrB2/ZxY2/SxFnad1fXj8mWYhoyucN60qi1fdM6XSdoUUrD2HS7rZ50WcLaN9Kxc+5Y468sRnbSYpbNHAKDqgah/7A3bPPAdtaW9q3Komw0x8P3b0PKm9n87ru23Gv1c4M985jPkeX5km7M4fTwfPuuzuItRA+YaLDcMcQtMloWfJIQGzHak1WWl263BqbRgBU4BFXgWVlRAo4WgZA1SRQsEtujK+nUNUGy1bym7YLgN7pRqscyCZqW1qz4QYGsTsxqc+3MhoJrgFF12eI3h7THD4NvU9/aGGcYfg6S593YuUzVr22aG28BViDVWGLr7GGKF1/e/Wtdmflc7WYHAZtExrDCtYfdj8/INzHG/XbuP3mEd5SZ9lInWsdE7B/X2Q8+vdyLaQoujwgFlWbK3t9dZHoYhYTjwUHtEPProo1y5coW3vOUtzbLpdMob3/hGPvjBDx4Lgt/2tredqj/w3+m3v/3tfN/3fd+R7U4Ngt/2trfx3d/93XzN13zNqQd1q/He976Xd77znbznPe/hjW98I+9+97t561vfysc//vEjJWw3E0Ns8FGA+an9JVeeWgfBAPPCcu1zn1pbfv0zv4/QX9LU4m3H4//7C4T/n3Xgev2zf4j62nsYKdlxe/7cPCe/+hQ62F3b5tphDiodHJs3O17/8R1skEMv9zIvO+7JobNFQd5PCK7CLefoAbSdLytw3mcLG6nyOgheFHZNdgxgs8WarBu8HBrpy9J0ls8LWM4Hma1FYZFGrcuhZ0XlkNyTJOeece0jH1tYXL70JXx6HRXODcq0y2XZmCp19lXi2dAecM6tg3xZAZTVcldan6MqfB9197l12KrGrK9XK7vbAGjT88yogXYXnHsnZocTcq1ahrWuKfvT6cNWrqqtXFqong/KAfBY+j6oavjWx1EzqI2rYssYy7phybWzgHPNJIMQitpJfSWHVs2xlxX4r4+9u68WmO+wxNW4WI+yuqaIhm1ulVFwFim6dZidc5SwejCESgbuP4+7ddOso2W2fWTczKju5rX9VuNul7S4E/FiuY+fxfM0+qAYwOo1YOzKSnpuHcgK6PYl1dZWoNQrbjoMMfhrvBCVXLkHiG0P8dWyaGQFNHvgt1lPA0QHJdP1BjU4tHJNLj0slW4B3WrZqWXSR0mkO/teZ4XbQLiJ1vH3gXAHLLeBcDXMQXlzSx4N9foeK3wEEN4oRV4rqzQMhNcY3J48mlX3x0igN7/vA++jpNF3O9wJmWAH/N5HPsJ0Ou0s/6Ef+iF++Id/+FR9XrlyBYCLF7s1Zy5evNisOyoeffTRU/V3mjhN3jMAN27c4C1veQsve9nL+LEf+zG+8IUv3IlxDcY/+2f/jO/5nu/hO7/zO3nVq17Fe97zHpIk4Wd+5mduep9HyZ6Fc52/o+L6LOOpZTG4blFYZlcfG1wnTDC4/AtPz5gm63MUixtPo9ItwoGn0eWNA9QAs3mwLHBqeL5jKCcWKnZzIMqsHNymyMs1U6w6XFEMM8G5beqydvqoXHyHHjbLDePayATn+SBLuyytdwoeOI95aQcnAMrSbiiN6O8GsicJs7kvv1MDzn4fsL7c1d+3fk5waf2Fq89Cgwdp9ACqKylsBbpku33tYLyuArCOpuxH57gdOGcrsNkGfGUzmy2k7AAkt2lC5KjfkavyiHvneNNHbjeA5tK6po5f/fmWrp55H9hPJxdQrq+r7sJtGbxndnv7aZ59/Ir2V+7o467GOpQv/DxiHaXwsvrj/m4GI96Ja/tZbI4vtvv4zYbgZnULZ3HbQwoPZo0Brf0FVOvqT/n868o928lqvZKgdFU+qgLVWrbaidVyP/u5ek21TrfWSb9tNbu6cuYW0j8t64H1Tfkq6b9M9WyhlDRMr2ztq32jlPVkdD2e+q9a37rnNvf3/vrWv0LSHZtsXY9l79+BWPXR3f1w46HPcKDZUH/HyX839Ls63JPdF9vtjrsvnUQIJoTr7fMW7s/CNefhbl6DSgeFFcf+WSd47Wtfy40bNzp/P/iDP3gXR3vn49Qg+Jd/+Zf5whe+wN/6W3+L9773vTz44IN8wzd8A7/wC7+wJhu7nZFlGR/+8Ic7dLqUkre85S188IMfHNxmuVyyt7fX+bu9sfoBFKWl2PB7sEc9yG4oOD8r1yWuTQgxyMjYvBwGjqeQetax6eF7yDUVBmQvJ17JWk6w6+TYnDw2na6jJjpuh8NuDa7WAK31oGwoPEs7AHq8LnhzZxs+x/W+W7lXp40+EKwZ0dPGhlN7EinO4O56zPHtjqNmR+82+9c3nns+RP1sdewfKxlV+2+5XK/9DTd3bb9TIYRgf3+fvb09bty4gRCCg4ODO3gPeW7i7D5+Bn6f19EAxhqNVa9bQLJRyDTgrmWqUN8P2/fLNgCVfTBa77u1rA0mb3dIcbov4NAYNgDhE8dN3tNO+Sh5O7rcsK87N0HcHubt6uf5UjXBnfAPQCnFZDLp/J1WCg1w6dIlAJ588snO8ieffLJZd1z8p//0n8iylWHuY4891sEjs9mMn/iJnzj12G7q63z+/Hne+c538pGPfIQPfehDvPSlL+Xbv/3bueeee3jHO97BH//xH9/Mbo+Mq1evUpblqej0H//xH2c6nTZ/tbnJWZzFWZzFWZwu+sqYTX8AH/rQhzrX3ul0yo//+I8P7vdmru13KpxzvPzlL2d7e5udnR0ODg74si/7Mra3t9ne3uYVr3jFXR3PnYyz+/hZnMVZnMWLK2p36OP+bqcI7aGHHuLSpUt84AMfaJbt7e3xoQ99iDe96U0n2se3fuu3cv369eb9q171Kj7zmc807/f392+Kpb4lY6wnnniC97///bz//e9HKcU3fuM38vu///u86lWv4id+4id4xzvecSu7v+X4wR/8Qd75znc27/f29m7zDXQ1taOVRG+Y6dkkOQY2MmyJkmtlkJpw66WIAKRRgwyukkMOBUfHJuZLbmCuj5wdPGbq0Paks6KREp0uNpofHPFr3niOTxE1C9uX2/oU0+HjUGJ4XJ7tPOL7suFzXO+7Z+14muh9J73vx03Ml204tTc7I9otDXRz+zgqjjKnutuy5CE5/nMedS7ese0cb3zjG/m1X/u1zuKbmUG+2/Hf//t/f66HcNfjxXof94kcZ/G8jLZxFqxet0ourerz1tu03J7bdYHr6DhL266cqNl3a5mr3t8J2VHbLfqk7deWVf+2Ha5PEzd5Tzvlo+Tt6HLDvu7cr7c9zNvVz534Gt1MWLop35vitMM9ODjgk5/8ZPP+0Ucf5Xd/93fZ2dnhgQce4O1vfzs/+qM/yste9rKmRNI999zTqSV85Hh6X57b9Ux2ahCc5zm/8iu/ws/+7M/y67/+67zmNa/h7W9/O3/5L/9lJpMJAL/0S7/Ed33Xd93Wm+fu7i5KqVPR6SdxMTsKIJ3GGGsrCbgQap4cyAuOtCTZvW8wL9jlw/Vw7z2fcGM2sK/pecqD653ySHWE05Ty6XWTrTTUiHI4X3mTVFtuAm+BGtxGG7XRaVpo7V2E17aRuGJ9XCpUCG2GAf2GcaFMkwfaXWy8YUZPlhwqidBmDYADGCUH5ahKyQ1zFsJPTPTKpkjjjY6sc2sg1SgJrC8XlXN5f7lUEoFbG5cEkNIbKLXOlxDKm1I517lpSQTS+D76hy7FekkjqAC7kH7/rXGJyqyKalztIQ+Zl9XHtzGEaipndPrf8JFLJdduqkJJlBRNfnid7+sNzTZN7LSW989vLb9zdBzRffmj3n6a3Cu/ov2VO/q4q7EOTYo8j0yYhC0Rdvg60mmHbWRUJ4mbubbfqXjzm998V/t7ruKL7T5+s/E8eS49C9joGN2sK48wxmqXTxoyxuqXN7rVskmd9a30LUcXaOOq7VqgvAO+288ArftrG+A2pYRaAH8DAK7NH5t2rberyYK1M9/Eqo/u7ocbDywb2PcgaD4OWG7mf6p/T3ZfbLc7DjOdbH5XHPn+VNEe283v5dRhnaA8wbiH7T03x//+3/+br/u6r2ve1xOXb3vb2/i5n/s5/t7f+3scHh7y1//6X+f69et89Vd/Ne973/ue0xrBcBMg+PLly1hr+dZv/VZ++7d/m9e97nVrbb7u676Ora2t2zC8VQRBwOtf/3o+8IEPNDMH1lo+8IEP8L3f+723tS/YkK9Zmw8M/JoujEMuXUj4/b31Ukixlmw/8MgaCN568NW4Ys5EqzWH6Hu+4l6W8/XcrK2XvJLy2ic57IG6B2KD2b1A8bF1ELw9MlAOg+3S9oyBqkgjjbuxflUIJwHlgPNuEGnMJuATxhTLAbAZKijztSkyE2uECQdnziItB02XZBANGijpQIEtcL3zq2MNYYw9HO7D5uUaS6wTXRksdTvSRnpw0GsvtUSYkLywa+dYC4Gw5Ro4V6GfZOhPAEgFwpXYXnkeIwWYEOdct5yBkhXbXFYOy6v2UsoGmLePRSjpyyYVec8c0jPz3iCrDYKlN/1ydm1yQEpBiXeC7vQhvWM01q4xu2IDqJVCQGXCVR+HEt6My9VjsivzKil8fd7+oGrTEFtt45wvn1WPt0ribo5d1Qy4lPTnkERdX9uVdCcGqnGxHkpUkxLVZy7buf1Crn3uQghveNa6O0uEn2CQcnDS586GO/5Jomp2mrjb1/azePHcx8/ieRqbAG8PLK6XSGId9EKrRJJbX9cHvvU+1gBsi/kdrBfcBZcr0NxaVgPfZtse+G0AaQ/81vvtg1vbuie0AfIQ+G3GdAz47QHdxom7v7yOHpne3WagnVtv32nnRGedX996dhzYvr2PdSDa3e/QPrsE/7p3y0DXA/s4GgAfBbjXnmWfI2doWM0THRenJVq/9mu/9kh2VgjBj/zIj/AjP/Ijp9vxHY5Tg+B//s//Od/yLd9yJHrf2tq6I5bW73znO3nb297GV3zFV/CGN7yBd7/73RweHvKd3/mdp9rPSdyejwpXPczWEW1fZJIY4t0EPvlsp+19kUFLQTpdP1+TC+eh/AwTLddAcHrfecrZOqAd78Rke4drAG03VMjRmLJc3yYJFJTrpjShXGcDm2Myw/SbDDTWuo5TLngguEmi6qQZZoIDjSuXa6ynChToYddsPcCS+o02MMFaVQCqx/BpiVCafKA81aY+lPZAZY0tVHKQbVZGgjaD51grD+yG+2DtYqKUL9mwtlzUALW7XAjlHbl720hAai/87fcupaj6GZZDr50TKZs+1kIO55QI0QKPneMARAVqW5+jEGrQwbsO61g7v6r2PHFlA7SblASp1r4lQp4uZaBfpqoTlZR/DczXwHzgOyqVrEy57jaoPWWcVA59E8dxu67ttxLf/d3fzbvf/W7G4/GJ2v/tv/23+ZEf+RF2d9fL0j3f44vhPn4WL6BYkzezet8CiqJ+fmkzvTAMfNuMr3Ot7Xrg9lZZ36PAb73cthCgbS13rTFsAsBD4LbN/g6xw9W/ncvxEACu45QAeOje3QfAw/sfaN/ZyQC5dAoAvL7tpuUnY4BPCoCP3v8pAe0G8Hy3JrVPWiLp+Ri/9mu/1pRsqidPP/rRjwJ08oVPE6cGwd/+7d9+Ux3djviLf/Ev8vTTT/Oud72LK1eu8LrXvY73ve99ayYbtxpHuQkPtbn/ta/j/mnExde9hFf9wdN8bH8FOF/3pbtEWvLql+7y8f++2n5y78t5/asvgfocD09CHlusWN9v+NILjL/8jZT/1/pV5LUv22XxB9d9fdhW3PPSbeSFl2CzdTOTC2mIzK6tLb8nMhR1vdNWhJNzbCfBIBCMdiaUDqTu1jCepiGhHgbOLojI9tePJUo0LsvWJMnRVoSME1y5Xnc5CTYwwXFCMXDRDSKNKDJsD+yGkxAZj8gG9hUHijLL12bLzCggL11HFgsQhApRZJRZ3mtvEGFEUVhc62orlCHUCmFzbMtSPFESkxiKAayhjUKUGXbZ7SOUAmEClrntnEdlAoz2DLUtXQOSjfQybWuh6IF5pYWfACh6xyEFQocUzlG2+1AGrYTvoyg7F3GlJaVdL7lklO+DoqCsPjAj/DJRTRi0WXOhNEbJitFugXkBQqvqOaPVXkqMqsB5aZt1En/cKF2x4KsxiZqRda5hG3wVCoHUCqE1Luv2IYRACwnliuWXCO90LhUOP/lgrfPtpUBJ2Uj56mOpGW2EpLBlc8OupeZewr16eJOVrFsadddzjISzHVZ6Y9zEBOPdurYfFe9973v5/u//fl7zmtcc23Z/f5+f/umf5l3vetddGNntjxfDfbwdx93R5Wc+06VHqjQI18rFEKWFovB/9V6NL+HjohC0wcURxPHtHv7zMzogbwDcttvUFRT6UuZ6W9feVwv4bQK5MAB0qwEMgd36dRtkngbw1sd2FOBdG99q3SDrW/c9BHyb81Bv5jr/uv7yNvjdxPx2ltWrjgC/LRK+czztdh0Q3m1/O9nffvu1W8wAKD2K/e2Mk2PabQC8GxnpVhzFANsNr+90nJgJvvNDOXW87W1v67z/G3/jb3Te30z62C0ZYz0X8b3f+723LJt62cteduRs/0lAcBPhlFd++Zfypa98iNfu/QnM7z/B47/5+Wb1V77xpYxe8XLeyA6//oHXs/fYx8EWXHz5y3jkwgiuG9LLKTx10Gyz+8oLiO1LwFNr3T24m1Aslqgq17SO8aUUF6ZrAA0gDTRuOV9bPjGSwro1GbFJJowjPZgXq+OgebBvxyjU6IHSTYmSIM16/Vmp0EZ7OXQvTKJBBcA6CA6kGi4fY0Iv0+6PN1CDsmPdSK7Xtwmkzwlek0OHw8BDaenZ5h6gVkYhlCZbtB4KAKmMB2k9JlgLgdT+c+3Lp6Wu2Oa+FFsIRAPs2uDRKxD6OUhaCKTx0uY+oJdSopXw4K117EYIhNb+fLheH0IMTvkKXeX3Ooez7T6GpcqeCV5nj6UUPie4OvZ6Ky8Lljhch9EWUqKk9Gr9toxYrNbXz1/OWoSQK5a2x3T652AJUvmc69Z3qPF6q9qvqlUInwdOD5y3gXb/XPmk6/ZBN9uogW26paJ6625B4XJs3EEmGG7Ptf1W4su//Mv5xm/8Rr78y78crTXGGF75ylfy9//+3+dnfuZn+M3f/E0WiwXWWj72sY9x6dKlu56z/MUSt+Oz/sQnPnGihx5xAtajeO+vr0BH7Smoha8LW4d1uIXF5Q60QSQRYpr4f5MAESpEGkMa+1q36QinNYxinDYQhn758zHaIA661+cGvw2sW9uuJ2G2rW07zOsJGN3O/o8AvJva9Vne/piGgG/zugd8m2Ut0Dhw7B12mPY94JTgt9/mJOC3GRerOI75ba27VQC8kbm9CQDcv41tBMAnYGRPKn8+ndz5dgLggUHf0TgZE/x8Y4s3lWe91XjBgeDbEUmSMBqNNq7fBIKdW69z9lXf+df4P97wCA9dmHLuy7+arwDG6W+RH+Sk96Q88v98M9l0zJ98WPONf+X/xeef/lqcdfylr3qQN9034f5P7JO89QlufG6fq3nBPdsRF7/+zeTb9xPG1zt9Te59Oa+9NKGYZ0yM4plslai4+5pHKMbnB8d9PjHY6/tryy9eTlkMJNKmF+7jfDpsRBKf3yYvLVJ1b+aXphGREmvmWJcjjQtHLIpu8m2yc5nLWxE2W6xJfKNzY2yYUJbPdpaHk3PEgeCgV5B52yhkMmGWld7AqYJFQbpNPApw2axhHVf9R4h0yjLvsbrpNmmosMsuE7xtFNFWyNKuA9Eg1lCuM8HBJEAmY5Y3bAdsmtGYNFSIYtZhY1MtCNKArFw3wDKBQuRLinlX1h4rgYxTFvu2c5FQUUykFaJYUuar5YmSmMgblRW9z94Y6fOh+2yzqtjmRTe3WQUhgZZQLrG568iSdeQl8Itidb6EMkRGEkiBLYuGnTdSoKX0Exm4Htj0zC627Dx7GSlQgcE6z2jX51cojVZ+f67IsdXnq0Q1kaBNpWRbDVYqiZHST5YUOaXzDK0SnnEVSnc+J6kMUgqM7uY2qyqvGaWr5yvXHIOQNMfRSLSpGW2Nk4rC5s0N2h+3aCZL6s9WCYHUEqn0bXE2P1XYEk5gjHVSWfnzLf7Df/gP/PRP/zSPP/441loWiwX/9t/+W973vvfxR3/0R7zlLW9hOp2ilOIv/IW/wHd8x3c810N+Ucd8PuM4jvckABjg//xPl3FOtCbZQAmHEg4pVg+qmZUs7cpHPpAOI0u2J0vSkeL81pLp9jXC2BGPc1TkUFOJjCRiEiLS0LPHcQRGVf8aUAoX+H/9n1eHuLq27aYKCz2wKNoTVUNsa3+71radOOrJvPf7FnYIIfXG1geX/fzcTe3a+1xjadvHUP87AIA727T23wOsayC3GVMfaHe3OxLoDo0B6JtMnsboqt1skPUdYmdPC3o72663u9N5v2vt2+tuIve3f0vaBH5va95v03AY/LZB5t0EnIVjUDXZj7sPzp+beFGC4FuJ9hdfCPiLb3oJr9hNSYxE7N5L8po38EqjKRcZwXRM8PCX4KTg4sjwTa+9hxuVe/RrL044PzJsPfQnSN9acGnLM9P6/DbFn/oGHisSHn7gHE++4o0s9q+ydfl+7ntom0sjzfXA8FCiGxD88jQkfvmX8uzSEiRdhnv3lW9iK1LYWRcEnws05166zbJY/6Zv7Y44nwZrbB2A3jlPmTlU2JV8XZ5GyGLhH9pbcd84oNQxy7zbf3L+fi5PIzhYZ6iTC9sVq91dHu/cQ6IVe71xXQw1NkqZHZTelKjCm/H2RS5OI9z8ScplTw69M4ZwRJ4fdJYHkx1GppJDty6VO4EinCYsSrA9tn2ShshsvgZQo2mMGE1YFhbbkhgHyZTUaES+6MjaJ9r3kZVuLbc7Tcwg0J4ahYgSls+WlK3P0kT+O0mZYYuVMVaiBSaNyAvHbNllyNNIE2lJscw6gDZRAhHGLPfLDgiWOiTSElHkXg5drQqlQAYBZdkF2ioIiYwmqIC2zf0GWgjvCB6ElGW3/Jc2ktAoRAWaa+CnBajAKwzy1qSBEIpIKwIl/ZisB45NH9qsmHZrvbmXqnLgrW2AuRSViZhWIFRz3B7QSqSSSMCWxUpyLWrn7YqZdw7nPNsspWhk3WXut5GiAtta4YRc9SEUSInREqUkrixauc2V8kBpcAyqH+5YWDt4TViLF+jN8/777+ef/JN/0ln2uc99jgcffJD/+l//K9/4jd/4HI3sLG4mTgqAAd7/uMDiGgzhQbBASdHZT2EdmS39JKKtJ78EkXJoaZkEkq1AMIol56cpW2PDhalglEgmQcY4nmFMSZgUqNChU4EYSYSWiNiAFohQe6AsJcIo/6ChpAfHkhUgPq5OXP/acJrJqWPKGnb633QNGgKpsA5U2683AeohZrpZt6Fdu2Gn/x6IvllwOzDuLtg8AuS2Xq+xu539DY2/3W97LPVu1tcdC3g726+37ay/Gcb3lKD3JHLnY/dxxFfm5BLnoxnfo9jeVZtNwHe4jzsdL8Sc4IceeuimpM5vf/vb+b7v+74j25yB4FsI5+DeScQokBgJ1iSo7QsE97wEly0Q0QjiCUJAoCSXxyFp4E95GkoCJXBBjDp3ia1XvhR0gNo+j7vvIfIi4PVfrriSTZld32O6rXnt5ZBICcwoYrodw3XvRH3/+QS5tUtmLSbU3vHWlqggYbIzItQ+BzNRklkFSu6JNPHulIPSrpWgidKANFg3/0m1RCZj7LKbEyyUIalyVk3vxhxuRRRuPe84SkImicFdH5BDjyKcWmeidZxipMCVzgOQavnESFABhe0aduk4JQ01Ls/W8ptNEuF0sCaxMFGKUYK8xxAnSmJGEXvlOhDwxmPZ2l1FxSFCh+RF15hLhbFnEZe2c48JlUCGhrwt6arPl5aIcsVsNuOVIIzPVW5f6qU2BEpCmXeOXYsKoLL+mRgl/Tat5RLQUiJMUDljt45Py0pyXXTzkYUHj9ZBXrRYWqEqllZ0zoeRXqLtZd3QlxEbKRky0hLKy6eLHnMshX8+c63kFyWqfF0q06oW4BTVwy7Og1PrqvxeKsdqUTtjr47Du0ODK22X2ZVyo6zby6G7n2td4sqnl61MzGTtci1Y+y54tlk2ExXrCRB3Jk6aE3xUveUXWjzwwAO89a1vHXRPPosvnnh86VNvytavSaFQQjbXAoDcWZbkFJTkIsfhGcWgDAnQjJYhY2OIDgVX9koitWAngNgIzk8Vl7Yko5FhOhGEgSOJloRRgTIFKs6RGmQsEJH0aQ+Bvz5hJEKrihVmxQ7X99tBzHrKh8Z2ilMfYA/t6rha5kMTZh2A1UcUGwAsdMHYpu2hB7z7kwDr23afC45hcnv7XGNzN23Ter1mZLW2z95+hvZ5m5neI/s+DrwOgM47nes71O5Wwe/x67r7GZz36W3Tz/MdAsDt/d+uurfHxdDXdlO750v83M/93E1t9+CDDx7b5gwED4Rw7sR5wQ9tx6TGgwEXjrDOYh76Ep/rqkPKZBuASAsujAJ2Yv/NSo3ywDmeIs9LwnQLpwJcOGKuY1xe8urLE+KveZjSOl6ynfDQVsxrRjP23vxlXEoTzn/w0yyxnP+TD1NOLpFljq3zIxaveAP7X/gEl7/kdbzq5bsExYLSWR4ZBU0Jp4detcvWy1/C5wuLbqFgFSS8/NKY7cis3eRePQlR5y7BNTDRigme3vtyLowMIt9Dt1ylH0oCth6csigci7x7F5ucS7iQhJRZ0ZnhmWiFOX+BvCe3liZksjMiNgJnIWoB+q2LI2yYMs8Okdo01aBGWxMubUXYxeEaeKzZZltc7S7f2iI2knnWbb+TaKLdKQfZOuTYTUPs/DrFvFuGKtr2su7DbK9zgw/TCZEWsHfQYVynoSacjtjL1823tkchophTLFZ9SPC520HCLCs6km8TJR5Uz5fYthw6MZgkYr9wHC7Lph8VJEzjgFAJivmyYcETLdGxxpmY2bLAtgCnNspLpbMMV6wAfVxNGBxax7I1JmUCkmqbMssb1lULn7vtVOAnTNrssZGMqlJaNq8BqgfzOg6ZO+dLUDmvApBBSBJqlASb5c0kh5dPK5zyUvCaQZXaoIzypm62bOpWK7GSXKN0F2hrjdK+HrFrTXBIQdNHifPKYWsRyqC0JKoYbVd4Br7uQ2rVlJOCCsjX0nElcYsMZ70LthG1WZcvIdZngk/lZ3DaOGlO8PPp7nkb4r/9t//2XA/hLE4Rp2GA6/i0/BgAJUVzTZTCoDAIJEr4+1HpcgqWWJeTuTmlXeIoESik0IQiJS63MUXIZLGFcYaxiDBSMn5KkwaSQOaMjSBNFNvjiN2pJk0141hgpCPRBaEu0NIRmgIpLcbkKL1AKpDagXBIDUIBAkT1JCdUyxzGz/lVr3tgWbYWN4YJ/l/R32Zt26pdx8egD5pv4jp0K9eNY57qBwHGJgDbH0tv20EgO7DPjYzqUX1tZGeH2wwB15tleIe235h/ewzbe9R+bia/9yjQ2+7rZkHvUeM6CeD17TbLmwd3MWDgdTfCMjyn1I/n0138zW9+8x3b9xkIvsWIlH8Y9mVkNE6HuCAGG+KUxlVgzk/qrnJmjaxuIirAmdgrXKTGBTGldQgB25HhvqkHm/dNQrYijXCO8aX7eOTVBTthgFCSna98NfOX/QnmT885f/FJFrMcpV7J1vkRD+wkUCwRQnJuHPBA7mWrk3snyOk5itL5h+10m2y2R7x7mQvTiLCqRVrXMD4XaNKdGKc9Q6tahiHR1g5JZXKlIt0wzucCSbSVeAdq65AmxOZeMpyMDEmgcEVRMXQ+toxExmMWPawZpFtEowBZGWm177nRJMQqw7Jn2BVEmtQo3EHWmWROtUQnMU6F3dxQE2JCjRFizeQqSAN0FJKV3ZxgoQxppKHIOkDbCIEZxZ6hLts5qwZtlO8jy7rS30Sj45CiV25JmpDISFy+xOarnEwjBSry37G8nNN2oNZGVuxm2ZntVoFChQYL5O08V20wypcv6h+HDhVIVRlptfalVVXDt+tMrQUVE+zIihVz7nOCVdNHvY2pzLqQitK1+pC+PJJWEmGz5pwoISrw6PNi845rtEJVMmNb+vxb7/Tsjcpc1QesmF0lReWk7RUDpXMNC1vn6+ZFLbeWSG0aZtdZXyPZS5sr0yqp1kiQtvmWr89cj3fl1m1tl5lQFatNz9hNVLWLh0zd7mjYkqGyXmvxRQaCz+KLP2b2Os6VOFZO/kJItAi9eZ5TSCQWS+E8CC7KObmdd9oXak6hlmgRksk5xoXM3RRTGg7LiCQ3BFISa0k4t8TXC9IrglDBOIRxatgaa7bGmjAxJMahhSVUJUaVKOnQsqzU0SVKOYRwSGXx1fJcVQ8dpKp+h8K1XgOyhVFFC/S2l9fPJ633RwLpOnqAuo6TqKtPFCcB1ye8/gyX8Dma8lvb9SBDfdw+++vbTTe33QRiN7G7R4LwEzC0fsExwPeE+zoS1N6i1Lk3hFMyvKdgfI8Bvn4cm9neof6OanunonSC8gQSbPsCk0zfbJyB4FuMxHhZsxDCA94gWalXhMQFCeBvKJES2ArwqepmYU2MkBoRJB4EK0NZ+of48yPDNNIIAZNA+RzPDMx9jyDHW0T33Q86IHj4S5A7F7g/LPgLb4l59OohTz67x6t2DfcnEJRPsoxGXP6yi6RXDtCB4vyXvRx970uhgO0kZOfhL8VZx2R35NntUDIPNS9NDVeXkod3Ys5/yXlsso1Re8SjgCDdRkjJzqUxqZHIgyVhGnAx1Dy+yLnwki0mD97Ds9UDfDQ9z+zqY0TbF3n4fMpuYijzAhV6CfNEKx7eiVG7l1gUtnO/G19+KRfOxcjlAa60jJTkoAImk/unzHLLLCuQZlVfeLwd+9zmxw87JZLuiQxy+zy5MtgWU5mcu4d0GhEpR7kskK2LQHopRZ/bZZaXHaAdb1/0TPD+HkWLJT4fKoLtLWw4Js+vNMvDyQ7x2OfSuvl+x9wo3o4It8YctBha8BMA59IANz/EtnKCt4wimkYVE3zQYZujxBBriT3c75g6hZOQYJoyz0vmyxWg1tGI7ZFngtt9jJTEjPxEzbLY74BdEyr/3S8W3fOoJGY8Yln2mOAoJo00gRKUyxxXrUu0JBgFOB1R2ApnSYVUGhMoksBL7cvCO3YbKQilQEUBhYW8kqgLoZAmJA41RgpsVjQseKg8E4wKKS0NqJRao7QiDjxLWy490y7xuc0q8E7leZl1DL7qclJtRltSTxiYynW97sOgtKryjosm91cLgRF1bjNk9f6lL8sU6ooJLovm4chIL5kXJqjKm3HX4sQlkp5Xc8g3H//jf/wPfuqnfopPfepT/MIv/AL33nsv//7f/3seeughvvqrv/q5Ht5ZDMSpWeDqJnOYPQmAtQXWFdUqiRTa/8mVMsk5P6lZ2AVlucC6Auf85O5SxszVNZQMCNQIJUOuyxglDIFICUlQ1hAuIxSa0AWEGJSQRFKhREakpFfgSMF0pEknAVvjgMk4IQwkoXSeJZYOI715lxFeWaKlRQsLArR0SBxSOJSswHL1XspKCVMtb/7wgNW/9//Sei3aoLleX21Tt2veV218R53T3ZFXdwByDywPYt5jAPXN5A5uimMlqkdcDgc33dB+GJAfs78jgG1/n0eB26H+N4Hco/Z7UqDbb3tSafPQcI6r13vTEudjpM2rsRwlce7vY3AXdz0/t5UldmS8WOayz0DwhqhLjRwnL6zZXSnAyaBxdBTOemdHZXDOr9dSNI779V6tUAijEM5hEZRV/qySEGtJrP2NYGSkZ2cLCeNddDzGnbuMMCHl6BwOiJTgVRdS7p/G5A+d44FpxFakuFycozgXcb+cc+2payychZe9ljI9R3AgeeBczKMPbqOV4P6dEfeOQ0yZU45HXHrJFucOM869fIetl9+PDVNCc0g8Dpg+8CqUVjx874Q08CZM0VbEfYlhYiTnXr5LeOkyNbEY71xCBiHp7j08vDtiHChwDh1rzgWahxLN9kNbuNE2i8KitELHKQDT3RGPnE8RywOEkqRa8vTSA9r0vgvMC8ssK9Ghn3SIpud54FzCbhJQLJYNszvRisupQW1fYC93HTnpaPdedrcj5PIAW7gmvzmUgvTyBL19oSuHlop45xK7icE+tU+5aINgjZzukitDka3Y42h6gSQNiJTDzg87F6PR+QQ52eEg7+YQh+k225HB7u93JNfbRhHvRLhgxDIvO+ZbYRwQaYFbHHYk19FWiJ54oO0nGvwERDCaMAm9Mdb+YmXwlWpJOA5wQcwsu7bKoZaKINKESmLns4Y9NkIQK4FOYhZF2QHBOkgYhR4EZ1lOWVgk3uHaS65D5rMSW3ozKWUiTKgZhRqXLRrQHEo/oaTihGVhG6m9UBIVhKTG5x6Xy7oPQaIEJtE4bcgWjrJi9IXS6EASaYUrlo3BVygFoZKIKMbpgEVeGbhJiTYabTRGeUbbla6RNuvYeDl07oG2q2TaygjiQEHpJwycdQ2jrcKAzDny0uKcQ2iN1IZQe7fudi1tn/5uECYkK+zdNcbq18HY2OyFf/f8L//lv/Dt3/7t/JW/8lf4nd/5HZZL/5u4ceMGP/ZjP8av/uqvPscjPIt+3IwMuo68mAG2ArSr66gQBik0QmhEC615IFw07f2fTxfInaUUmtJmSKFRMkQJjZLX/XthkMIgkUhp0IRewYJBWom2IUEWoNCYfYO+IolEQCgUYaCYjiPSccjWOGQy9rXaQ1mpzaR3rJYCTOVsbaRDVwDXA2PQwvM8qmor8GAaQAm7SjWugLRgBZxVDaArQE3VT92+AcYbgHW9jqYdrfatz7MNdtvbDa2HZn81HBl6dDuSkb5TWOSYy+Fxl9SNl9NNwOwoQLthTOvbHL2PY0H1KeTMpwG6x70fBsLd97diZjU0vqF+19LRj2BeLaKqrnX37psv/Dv07YszEHyKEGL9ByVFd+bRCYmQCucqg5yBq259w/D1WAHnnWVt9V5W/WhZs8b+BqcqMwynK7ZTBTilGomyVoJpaLyRECuWmlISjLc4/8gr2L33EBFEyEdex154jutPzNnjaR66lKGc5d7tyD/82wV6FJFeTMhnAcmlHaJz25QIIiOJI0MyjjCBZDcNK8OqApMaD7SWJeH2GJlOKUrn3XGjBCEUcRowqtg68PmgW0YyHofE52KciSkKEFKgoxFSGeLUsD0KEMUMIT1ImRrFdqAIxgl7lUuwVAYVJOjRhGlsCJVo8jyNEEy0JNyKEFGyktFWRmJBZJjGAaLIOp9TqhVmnCCihOygbHKlTZRiophEK8iyDnBNtUTGCXnZvbjpMCGONKLIsPkK0BrhAZSMR2Qt8y1RHU+oFS73Ts+1KViiBSbWWGUoWkhXKIMOJFoIL6F21cNQxVSKICazdiXxVcZLrrVEKzpy6LAGj9J4BrXOpVXas6ESKLLmRmYqgIoJyUpHXjPwUiGV/zyUENiiBo+eDa0l10UluV65MIvmM7SNQ3JVOkgbCmsbWbcQyh+7EihEs9xPUvnSQkjl5ebNR2+QqjL4apVU8j81gdChlzc7Wky7aKTjRVF0pM1ek6g6nwfS1yLWdRmmltOzbJmIefMt13wmgZZo4c3N6ruqN4eV3uWauxx3uE7w8yl+9Ed/lPe85z18x3d8B//xP/7HZvlXfdVX8aM/+qPP4cjOYihuBQADOFdUUugc57plwEpnkcJWILgLhFch/fMBDlyOBZ9eIXwbK3IsFiU0pVgiqxxjKQxKeKd3hUEIhUJ7kCwUxoUIJIaQ0EWoheLpRYB+WhJJTaIUyShgexoxSgPG44A4VGjAVBP0WnhgLIR/4JPCoaWsSrQ5n74i/Ot6mawe/ZV0lQ+XB7wCD5hlBXw9CKYByt7Iur6+rUB1DVBr+5EO+1yDYVYgVQwAZP+idZ9rA2bhqFHsRiANHaDbBtQb2681OMW17SZdf082z3jEvgeGOAg0TwDUBgH4LQDeofEcJxs+DQge6h+OlzX7NpuB70mkzScFvusTCHXbu3Pf9Ezw8d/NF/5d/GRxBoKPib5JVh8I1yywwLPGAomTq9Pq5Kq8SrveYB1lBXrLCgA7V998hH+ervYdKP8AjZA4E+NUBYSlAhMh8ABkHEoS48cbG5975GyAjaeYB18FtsCpgHJ6kSTZ4SGdsbV7nkceeQTKnISce4ICe+1x3M5Fdl9zgM1Lkvsvoy89xEEJW5HhgXO+zvI40jyyO0JWblTJha3mICcP34favUzhLEmgmJ6LsS5meyfmnnFIomGpNcEk5P6tiJ2XbjN9+B5sNGF+LSMINOmFB1HG8JKLYy6PQ9ziABVqtgOFkYKLF0eYS/cwz3w5HjOaEOXnmVy4jwd2YtLAlzsSSrATKF4yMkzuG2OjLeY1s5huIYRkvBNz/7kEsTzAWksoBdtGcU+kGV3agXSHg6sFShl0nBJvXySdRmzHmmI2xxaOREly6zyrOz3HPLeUtYRaKpLpiMvTGJkdUrTKVu0Eivj8NnK8zXxeATETEiQT4umYnUTj5ocUyxIjBUvrmIwCol1vPFYWKwl1MJqwPQ6QxQK7mGHx8vpECaKdETKdMs9KllmJUBITpATJmHGkMa6kXOaNFHxiFME4wqqAeVZJeaXCxCmjJCCQYOcHDTiOlWSkFXI0ZZZ7ttl/TTUmThgZTagE+5nPoTZSkATa92FiZsUMWzqfd2sCktgQG4WbHTaS61BCHCpklLAoXFPrWUiJNr59oGGZecm1FAITae86riMWxaoer9Q+pzvRCrecNyWojBToRCPCCKcCFsXKGdoEiiRUGAVZXmKLspI2e7Mup0IyW1KWvuaxUoYwUJXDt5doW+d8eyNRUUBurWeCLShlUMqbdRntJ5fq8+vZ5gCCiKywdzUvWNgCcYI6wSeTTD+/4+Mf/zhf8zVfs7Z8Op1y/fr1uz+gs7j90bqvW7esQG3t32DBOZwoEQisDMCpDhvso6yWKf9Xffedy7GuUoRVZdJqZth3vfKcrtU49b5ls1xW7VTDIPs85QiBRBNibITa04R7McppQhcyNjGjNGI7jRmPQ0ajsFGsGekn70xlLK0FaOmfMVZgGM8cC39UNQhWwgNH1TDHNB4nbQCtWDHGfQCtxMpEcAhA18BUVq/rT6gG3v7Nqk37Y2wz0EP/wgoDtz/GPuDub9Pusx930ofwZuPIW8IxkuHj9rER2B3D5m7a/rQS5qGxnZbZXY3v1hneoTYbz92GiTrrKoXoURvfxiirCffj4qxO8FmcKDossAMqINxZ1ooaCLeNnYa+bP6GsWKahQBRM1FC1pSQzzsWEimEzw2SVWmX2jxIAFKDMtgg9jdl5fMvnYNACsaBJk8ciYkZBZL7xobg4hjMAdcmhoPZguX0AovRDtY54kCxOw7IS8s40pVhVwXAxjHlfInQCpFOcToC52elg1gjpWR3HBJXJX882+vZ43gnIZimlAiK0qGMIIi9JHYn8WWb3KJAaYmJNNPcEm1FyGTsQYd1SB1iopQg1oyMZ5vLvERK2Uh7o2mMMyH5sqrVGsS+pFCkGYcaYVdAKFaCVAtMOsLpiLzMPTtrQnSUEsTeUKpYZlhrvWuxEkST0Oe4ulXeptIhQagYR9rX781LpPCsdqIkOg4QUcJiv5VLGiZoo71cN/eybiO9fMbEGh1VjsoVNhHKIHVIGhlEmUG2bCZaAinQUYgIYpa2YlyFQpoAHfj6uqLMG5dpU9XWVXHo62KWvu6tVBqhNJGRCFvgysKzzVRy3VAhAp+zmhe2YkIVSisCLRBYLyO2tTGURAYGJ+TKIVmojkMyZSt/WQik8XWFiwo8+p+FRFftlRCUhTffkvg+hPbGWEWZNYyrVIZA+c8M5xq21wiB0hJhQmyL2a1rBBslUYhOrrk/Fu0dqG3Z/PiFUJimnFS3vVAVq+vo5IeLyqxLAq517DVzLLR3ub6rceI6wS/8u+elS5f45Cc/uVZi4X/+z//Jww8//NwM6izuWLiBp3iHw1cPluAK/GOqWWvno9Ln9CTTfna8AKRXh9VMp1u1WwfWq2VtoKwqSbaswLAUBi1ClDDM8QZeoUjYK0P0DU14PUQ5TSJCtsYx6ShiPA5JRgFhoFcO+BUYVpUxlqaahGcFkFVlFChZgVtFDXB7ILh6tlF2BZZX7LJaAekGTLcZ49XZbINkfy6GgbJfR9OGelt/opu2/jzW/w4A5BYr3dcWDDHEQ0xyu4/bGZv6quOktWZvB7iFo1nC44DtaZbdjtJEcDLAu2lMxzG8pwa9veW2WXZ37psN4D5BuxdDnIHgOtq/9t4Vr58f3GaDa6a22U0FhOvX1q3EsEIInHMdAOyBSJtpFv5mUS2rpZzCln6MtRy6eu0BsapkSN5l0lV3oaCSnjqpwUQrabbyLtbWOSItkcIR6gAjhQcE1c1cnb+f3dGYXYDRNjbZ5opLycdXufDsDe6/sY8scs6PDJRzhAlJ771IOE1RcYi+9BJfAmouGIeal1wckxjFA+cS0kAh8j1UHBLtTNh+qGTy8D2YSw9wUDgy6xiPArLdhDDSvORcwnZkcFfnmNSQ7CboUDF9yTZq57JnQ60jTkNMsMv0XMKFNCCWJfvWogLFhVAxvW9Cet8FbDjmYH/hDcumF1BhzEt2R1xIAuzBHlJKEiW4FGmml1PkziVsPGWRP4kKQkwyYbQ9ZXsrYmQU5SLDlc7LrZVgdCHBRmNmmc//FMoQTnZIJiEXpxFyeY1iNkcJwZZRnA8V8YVtz4IvC5ASZULC8TniccAokBSzBWVhCaX0bOhuQrw75XpuGxMmE6eE6Ta7aYjIDinnvv5lKCXbRlUS9S1mVwvK3CG1JkimhLFhEmpEtkdZsc0gibZCwumoYZuxFmUidJyynYSIfO5LUFXf61QrgnHg2eZlSVblHasgJIg1k1Aj87k3xrKOUEqCcUAwTlgWjnlWYq1Fao0OE9LIkBrl86crxtfXbDaIeMwsb+cEa3SgSI1CFhl2meOcw0gIRgYzismdYFHl5IJn29PI17m28wOKpZ8ACZVARxoRjSgQjazbm1x59lra3Btj5baRgZskokSwKMpGASK0JqmYYLecryYZpJezE8bkZX3srimpFAcKowRky0YKro1ExyEiiMgWtgOc73j4YoZ3r7/nML7ne76H7//+7+dnfuZnEELw+OOP88EPfpC/83f+Du9617ue6+Gdxa1GH6m4dYWDoLrRC+sftIVneIdAq491lthVKl3nLAK5Vpd+KIYAuR+yl2PXDLGsQLFAomXYAGO/XKFFiKwcruWBQR0azJMhCkNqUsajmGmSMklHJJHBSNWkmuhq4l1X4FfLVWULXU2uKwGKql0DlleT91LUecMVo9ywyKAqdrg2na6XCVEbUVcscgUlhHDNs1YDZOlKtGEFnOtPo/veNe36YBpODqjb26w+m/77zdfJm113s21PApDvRptNt46bKUEEm0HmScHtpr5PImM+KcA9amD18VgrGjb4bsSL6DZ+ojgDwUPhujO6dbSl0c2FePBHtHnXNRBuv2+HbF3lBdWMrHONxNBVN8AaANfAVjifX4la/bCbXUmFE6FnhKneS4WzrpFJBU6gpZdJCVeC1Nh4ijAhCIkNRrggIRERL7vvMi+5fImyGldiF6i9J1jogv17HkQuFsgoxqXncEFCkDmmkeGR8yPGoeZcHJAYgZgVyGRMcmGBGUXE9z+APn+ZrHrg301DpBDspiH3pGFlvlUQbSVgHeE0YfygB6fZniXQkiQNcM7x4IWUaaQQywMATKIZXxgxvn+b5PJ5ZgXM8tI7A0/HBJHm/nMJ59MAd/0QqQXRKCDRkvRy6h2rlWFZ2KpG8jlGWxH3bsXEynFj6SXX24Ei1YLk0jlsNOHgwBvqqCAknJzj4nbsjbRmexTzJaGEc4FivBWhts/jogn7i6tIZdBRSjwdM5mEJFr6+r1FSSw9yz/ajTE72ywr2a0QCpNMCCfbnB+HyOU18sM5SngJ8XYgic5NsVHKwaKgLEqE0gTpNvEoJDYCsZhRLgsvk1OCeDsm2p5wvbQN26zCiCCesjsOENkhdj6jdP7hJ9WCaCuCaMzhQen7kBIVxISRZmQUIjugzEqsc4TSl7gKpt5NugaoUnumfScJfC3kbO6lwkKQaEGQGuRozPKgZJnbatIgIow0aagRxbwBqFoIglFAMI7JSsey8EDbjytkHGmvMlgusFnesPMmDZBxQlbQyLqRkiDUjCONKBa4omhMrvw2EVnp29cgWJmINPRA2+3NK/Mt552hK1l3buta2lVeu1aMjCKQPq/buUp+GGlUHOJU4OsjW4fafLm5vfEiqhP8D/7BP8Bay9d//dczm834mq/5GsIw5Ad+4Af4a3/trz3XwzuL2xye9RVdc5q2yovqHixqkHrSmj9l83Pw1pebt1uB37L1uv97kyuWWPgaxkJIsg3gWAgv4e6wyEiUNYhMoq5VbLI0jNMJ4zhlazRlEo8xUmPQSLw3gRZeYaOFaJ5NtBQIRCOlVpUSTQtvndFe59VqNThuAeUBsCya9TVLXIFeVqC5NvSqgTOsGGdgDTzTbLsCz77dEQC63hFdRrreF3TBaBscD+Ycr71fbyM3gdsjQG8flJ8mblr2eoqc56NyUE8DZuF0gPao9n7dycc0CHCPOHdDxzxsAi7uqr+HRZyo/NHddq1+ruIMBG+K+iY0wAq3c4TlTWhfhiz8OxfP1r6Fc+sPnhtmooXw18nGqbFmpEWV4dmULZDNj38FtFvmW46VwZeOKo1U4BlnR1USyl9ctJRMwylpKpA7Yzg/YXF4wGFhuRGcY98a5OEhiVFsR4ZRqJlE2hsbOYcII0waIwODTKe4IGnYrXGkkUKwMzKkbSOtKCQYlwTTlGAywpmwYiIFJvKQYHsUEEiJqOrqSi0JUkMwThDJmLKS90oNJtSEkWEcag86isJLa0OFjjRBGoKJG5drKSU68IBrmhhEkTXMYighCJSXhSN8nVy8TFnrsAFDzJeVHFqQKM9UymhU1fx13unYhGjjAVegBMvKTKqWaes4REQjloVdSa5NiA4UI+3dul2rfE8QKEQUVyV/5l6VoAw6DNCBxAgBZYG1Ve1e4ScPVBRQlKuSP8pEqDCuShctVmZSeCCoQ4VT2tcVtviSP1J5V2UpoMw7ZYJUoNBhwNw6lq2yQlIbQiPRAshWZmVaCHSgcNI0Rlr+ay39eRMgyrwpg+RrCtcuzLBs3S2F8i7MujJ2s61tlJagAl+LuJJ1K2WQWhJqCbZs6h1L8GYzlUy5aNUCFso7SWtR5fe2DL68tNk0tbR9e28IpoVAya7kWgiBVL528ZAcWtxBANqejDs6XvggWAjBP/yH/5Af+IEf4JOf/CQHBwe86lWv4qd+6qd46KGHuHLlyvE7OYvnZ2y4Z3fdWWv7we560UyQnw4I+1AbWd52uzo32b+xnbEJKlM/IZtc4zpXWTgPgi1FK5/Y/1v2QLFE0mGOrWJ24xpXb3jnak1IHCVsJ9uMRyPGSUoaJAgEARohBLr09/+aPfZS6RaLXEmqa7k1bcaYSn7NCiDL9usGGIvqzK3AcSO3Fl4xV4NjWG3rXztw68xyLXU+KUBegWG/tA24m+gB5Xrb5vVGplisAdjSrQNo4b8Ea1H38Vy7MJwGMJ1WSl3HUWD9xCZUnXEc0dcJAe9JDKbWPpu+vJqanb17cuiTdPVFMJd9ojgDwXUIOcxyDLDCfSB87K7xX7yjZuvaq2SdA1wBYFEzMI0su+3qIDvjq12mm+E7L6Ny7eNr8o38TathmaSXT1PfZE20kmCrACc1ygliLQhZ3RACJXAuwJoYOb1INDlPqAK2RufIVchkb8G1vX2euXFAuZhDPkdWebdquovQob8p7lzGRhNf7kkLLk0jAMahJjWSQDpQmmh3ihknxBe2MZcewAYp1h6QhIpz0wijJPdvx4wCgZjNUaEhmMRMjCK9/wJq9x7mhSWzFm00o3HEeBJwIQlIA4nL5phEE26FJDsx6b27uGjsTa6cI4g1oLm8k3Bp4ksqOWuRWjHZioi3I+KLuxwUjllRopQgCANMqLl3J2YnNtgr+9iiJDIKnWhGl0ao7fMcOsWyKBsmdDQNubwVE7iCw6o80sT4/Ob4whZqustBVlbsqalY3YDtJMAeHlDMM7QQvv25GDXdxYYps+wA67xbdRgH7E5CX4d6voctSkLl85SjnRFya5d57lagMkoJY8N2ZBC5l3WDlxBHo4BoO8aFKQeLOUVhEVqjlCEe+RJMYr5oykklykuu9XjMsrSNJFiHMUEcsZUERFr6MlcV4xqHimgrwoUJB7lnm5UyoCCMNKEWsJxTZiWutBghCCYhJo3ZKy2LwucjC6EIwoBJYpptbFZ4x+pIY1KDNSHL0jZO4kIZTKBII40oll7W7ZyXT8caPYqY1Yx29TtU2ueBp6HGLefNzzBUEh17yfWiKvHVsOCVHFpLX7fZVUDbJBriEeiIZek6qo87HraAExhjncxB+vkZy+WSH/7hH+b9739/w/x+0zd9Ez/7sz/LN3/zN6OU4h3veMdzPcyzeC6jA4RhExiuAe9KPl0Otuu396ZcbfBbmXRVAM6Hh3Repl3lGzd9dY22aiC8ir7xVmXIVSnFasdqkUuuHNRmXCGhjhmNRkxGW4zTMeN4TOBClFVoNMopNAotlM8nbjHHNThVLZl1nerVyKwb9ti/FqzMQZttaZtxrZ6pVANyVwzwii2myTtugG7zuiWHpivHXp3lFihulYMStNjgvnS680mtr2tfsDufzIY20AXYqyYDy054MziN9Po0cdL85OFtT9DmmLvdSVjOTUj8KFB75F3tmHEfJeUunTzVJMKtRumgOMF5fuHexU8XZyD4JDHACjeMy8AVp/1DrkHpcV/xesZzBX4ZBMCdELLTv3Be1NVnpxvAXrlQdsfnOxWswHc9kMbluso7hqoWoRIr5rFym0RIMBG2Kh+E9HnHOBjHAXGww/mdbQIlCRWo+Q0On32KRSw53L9BlhfYeIoNRogcEqO5mIZIAZNQExuJLBYIExKd34WyQO5cQu1cZGG9dDcNNQ/sjAiN5FIaYmyBKDJUYAgmKeGWRO9eRox3yEqHs45poikjzeVpxPnUy59dWaCTgMg60nt2GmnzcmFRQhDFng28dyviwihA5N7l2cSaeDtidHGEOneJRWF9LV4lCWJNMg65mIakRnrX5qLEjAzxuYjk/AQbT5nl3ujJBBqlUyaTkEtTD7Rr5+KJUd5I7Pw2crzDwcIDE2UMJtTE48AD7af2KbMcI725V7JbOVYLXQFBhwpj4pHhwiQiFCV2to8rvcv1xEjCrQlqvM1BXvjPXEr0aEI0CphGBntwg2K+rCTXgmjqc7xdMGK23MeVFq0jVBSzPQqItYDlQZMXm2hBsJUiJ9vMc8ds6R8UVZBgQt3ULi7mC8A/HIWTkGAS44KE+fIAW3hAK03IZBQQa4k8mFMsPdhNtCAcx8h0q5V37PyxBIo00ETKA+0i82ZlJtYEo1oB4BpZt9SGuDZQy/coC+vZ+WobmYzJStecX+++7UGzUXjJdcXsqlBhYo2IRyyKsnGgVlqijSIxikBBlvn8aVmx5jJKfE3lfHH0ReV2hy3933HxAp5Cfte73sVP/dRP8Za3vIXf+q3f4lu+5Vv4zu/8Tv7X//pf/NN/+k/5lm/5FpS6awL0s7hrMQRo18FtLZvuTo7bo7dpTQr184nXmeHNj561XLudq+xNu8pGUOnhXW3E1epz40+yBZjLNmDuA2ONzDTPzhXqmZW0Oh1NSJOESbrFKE1JggRD7V4dNABZO41EoFGeRaYqGVfJpUUr91ggVrnDA2xyGwR7hngFrlcgWWwEy34tTRpJDTxXOcdtkLximTeBZqDVZvWs15dl09m29bn2gHR7TP22R7XbtMHGDPabAcG3gtVu023hJOxr0/YkjU44rpOVFdrcZqgb60TlHQT2LhpjvXDv0Lc/zkDwaWKDRLofbeMsWAHcoXImbcDawa5tAHyK6PcN0Mbr9et6LP2L8QrcS9ZyUIREVrOz7RuMqIC0k3qVu1yXcIImV1mIynhLQpwkjMwF5CRE2IKsKNlzAQeFZP7sIdneIalRaCVIjKrq0VqECRDxCKxtyaf9zHKkpS93EygSrapyLhYZGHQcIgMPUpyJmotAEmikFEwTQyAF0hVYQEcGnEOPvPu0U4bSFV76FSiUlkySStpc1iBU+tzTkZcpF9bLYpWUaO3BUGKkNzsq8+424wR0SO68LFZpicJLwmOjoMxx1iKUd2w2owAVJ1gTUsxWcmAdKMJQYyS4wucQKyUJwbOOQURe0rgdKxNhIlVJm3NcJTsOpTdhMmmEqGoXO+t8fpn2x5MEEg6KRtZtpMAkBh0H2ErWXQNnoQxJ4CXtLssabVNYO1YbX1YoLy1SCpw2mED62sWSxphK1fLpKMRJ34fDA1qpvZu0qmTdtexYC4EMDcIEWMeqPrKUKC0aN2lXFFXt4ipXNzD+c89pnLSFUETGu0OLsmiOw0jhHahNgHVuxRwLhVSSQKuW5Lp6IDISZbw7dJGt5NBSSqT2dZ4V3brNynj5NFJTlN4QTdxKQtgpwjnbqYV9RMM7P5g7FP/5P/9nfv7nf54/+2f/LB/96Ed5zWteQ1EUfOQjHxlMYzmLF3EMeoccLZM+Wg69aZ3Em3NVAHigv3VwvtrXqs+hcdUlnSrFGNAuBeXKYk1iXbbyi2/sL9k7kFx5+gpCSCKTMBlNScdjxsmEUZIQiAgtAg+CnfHA12l0qfwyUeUVS4m0dU6xR5zKdpnjGiyv5RTXAJXu+/pZpcLPzfNWvQ8ESFc/+9RMsmgxyasz3gbHsOqvBsc07etrv2jOerPM1Z/E8PNXfSkvK8DV4iRW7doQxq2D2f5j2xC4ksINg7rjLnEDl/b2t+o0SQJDcVvYx9sIav3uTn7dP6rrTf3dbVBq3cnywF/At/FTxYsSBDshfE3f/qdc39COA54tMDyUg+fajGq9zK3nD3cubC3217+33Y37Y2ztwG0A5TXQbXKDhy5gQ0y2kFXuU321bxlwtQBwZ98VAHYibG3jUbeRoJy/66jaZdIKUAE2HCOcRQnJVpgyMRGjiyWLvOTG/ozl/JBsfkhYLihzC/EEtXuP72K8g4smFM6RBJLCGULtgeY4klB4Z2SVpsRaIeIUOT1PGU0oZw6lJLtpSBIqLqVeDizyQwBMOkInMaPLu+hzlzgsISscRgmmk5AkUOwmAeNAIfYXSK3QSUAwjkgu7SAmuywLD4J1IIGAyzsJu4lnmyk8cI62IkYXxiSVM/SyArQmVCijuDyN2U0CRHYdV3rJtS8nFSGnu7gwZZ55ybUJFNEo4MIk8iZMywU2L9CJRgPx7gQbTVgUtgGVQRwxSUPOpyFieYhd+ONPAk24FRHtbEE84WB/xVIGkSFKA8aBxh7uYbMcpSSJc0RbIdH2xNfvrdjQRnKd+trFbr7vHaAr2XG4NUJOtjnISmZZ6ctmhSFBbNiKNAEl83mGkIJQQjgJCKYpVkfMshJbWFQQokMvAw+1wM5WbHNkFOHU10c+WBbMspXTc1CxzaGG5XyJza2X+FcTE87EzGYltvDtdRgwjatyXdmsYpsdRit0xQQvS8d8WXg5tJSYQJIGikhJWM6hYnV1pNGJL1c2PyhZ5v7YVTVh4g2+vOQa6hrBXj5d6rBxxb5rYe0XPRP82GOP8frXvx6AL/3SLyUMQ97xjnecAeAvljj2czzlY/xGIMzp9nPs438FhDduK1d5wxufX1rAeOCxe+UTUsGs5rhqdnjFGrcZ47asepZJrs804uqqpNM4nZKOxl5CPZoSBAG6Ku8knUJTAWRr0E57QIwHyFIIFALVlIFs5w+LxnyrzRx3QLI/oFZJppVkWtWitTrv+CiwzAps9vfTYX97bPKqSZEMbQAAbr1JREFUffUs1lm22sYPc7X/OtoMcx19prm9rN92zcW60461OMqj+GaY4+f6qnmzd6LTsM2rvo7e5ih3bP/4f5eYYHdS2fmLI16UILiOQSB8qh1sdpGu998s2/D76PTfB8AnYYHbdQmFWGN6+69XF/d1QL5xUqAXm8zAGgOu6vWKgRbNBbu+iTXtlfYz1VK3JNeCUCu2pylqa4yRMDFQHFxj9uTnmF9/hoPZjENCnPJf4UAqIu3QQpAE0ptiVUBPBDEILyO1JsRJjbU+tycJFePINPmX5KXPgYo9ky3iFBF5sy6L8w7UgaqAkDescmWBNAodGWQQoJMIV5kdOecwxp/H2txLusKDQOlZTTOK0EmMVYbCeiZWGdXIaBPjayqDz5nSsfZGWnGC1RElM4QQKFMBrtpErKjYZi193dkkAuXrCpfONYCrPn7ssqlJW0t1CWOcDpr6vbKqxTuKvNmTy7NKKuyNoXRsUFHAwrpV/V6lvQt3qBFlhst8vWMhV6yuCCKKbLWNNquav6LMGwmxkQKdGGTgDajy0jYsrdKSyChkmePyZTPdKY1EBQZMSGa7LK2qHJgVYIvS53aL2kjL4KSmKIsV2yy9KVakFe4gW5lcGc/CCxOQtXOIhTfrCqRnm22r5q/SEh0ZX1e4+kwApPK1iJUAYVfHLsWKbXZIivLugmCXZ7g8O77dSYDy8zTKsiQIVioWrTVpmj6HIzqL51s0rGuzYPg54ORg+HgJ9Go/JyixdKrH1/X9NXDNldVxVrLr1vE4FFTscW3IVa+rJdQ1Y3xtL2Nv/1rDHodBxCSdMhlvMUoS0niMkhqFRonAA2CnUCiUUygk0nl3ag9uZVW3WPhaxA07LJDONWWbauZY0Msjxt9HRXkUMPb/bgLG1RnqMslUr/ErunnJ1dJaFu1aHEN93a/GTbOP1lic6ABUv23Xa7zJY24DOHcysLw6rt5zYet1HxieZl7w7hUAuvm41bzcmwWWzt1dd+gT5wQ//z+y2xIvahAMG4DwJpOswR1sdm4+EcBu5wsNgd/BXOAVQ9s0O+EVqc8Ot3e31veGaMuqVznElXyqNy5ZXdVdP+9YSH+fJWi2d1LjHJ45FqKpTaikvxGbKGH70n1sn78IQlKamIPMcmVvgbh2g3h/RlkW3j1ZCyjASYOanvNANZ1iwxQrDVJmJFqxW+W27sSGSAvEPEeYgOjcFKEk+twlGG2Rl47CWtJII0XMJPHbxFrisgwdhwSTlGCSEF30pY6yfX8up7GhjBz3bkeMjERkhzhbIrQmPhcTnd9Cbp9nVjhmWYmUgijRxJHhwihgHCrcszM/nsQQpAHxhW3k9ByFjsiKfZRWmNBxbhpxeSsiNgKbLcBZzChAh4p41x//cuYobVVXOjFcGIfsxAa5nOHmBwglCCdBZaR1DhdNmvxTpSXRKGA3DYmNxC0OcUWBqhy/o3NT5NYui3JVvzeINGFi2I6Nr1288Ay9NJJwEqK3/LgOKjZUSkkQacajwE8AZD63WRpJICFIQ6LtqTcey4rK4Msbj22PDCKf4+aHVRkk77wdTFNkMmG2KJllhZ+AMMb3E2lkPqOYZ9jCESpJMAkJpymZhVlRsc1KoQPFNDGeCV4ceom6FJX7eIAYTaraxRVwlYIg0KShItRQzpdNfq9JDDqJcSb2OcG5BYSfyIg0gRaIfNnkggvpSz2JKPXlpKrz2/4tn8aw79Rhrf87Ll7ATLBzjr/6V/8qYegVLYvFgr/5N/8mo9Go0+4Xf/EXn4vhncVArEuEbzWOZ4MHgTAcA4ZvLtaB8K1EbyxtE81GoitonKrr64lzgAfFtTu1X9x63qmWlXaYMQaQUnu2+PBx5FO+nrFRIaNRwnjkgXGajgh07EGxNEgU2hlkZb6lnEI4L6n2fLFYA8gddrgCzKJhg1frajdqWAfKmxjkWrZcvxaI1XtaILklh0Z4MForSur90eyzK4/umm+tQPLqXNfr2wxzV4HY31e7fQ22V9vW++1JqxmOIZOuo7fpTgJsiruU2XOi6IPATWO7VbBYUtcJvktMMC8elvck8aIHwXAbgHBnZ6fM4e0A3s03qNUGKwDcyKCbG5J/23GHZv2iNASA26WYNsqpnK9zOCj3bi7usnXjXPVXlzCqGeehsk31eJqSTdC4Qnp7beUdq3UAQiJ0SBoH3DNybJ+/SOkc2WJBtpwhsznLq0sWZYacnvPnxcQ442uyGilIQ4WUIZNAk4YSWebgCkQ8Qm+dA62R03PYMKWoxj+ODOPIg6DECO8qDOgkBiGIzm2jti7ggoTCeWfm7ZE3+NodVZLrWVU7ONRE22Oi3XOo7QssC0tmHaFRTNKQ7VHAuVFAahRuOUdI6V2LxwnROS9tnhWedVRGEGnNhXHEThKg8jlFXoKQhOMAkxrMuV0yoTnMPKCVWhIFiguTkO3Y4K4fUGYFOvBgL972ztB5MGJRzFBKoANJMjJcmIQkWlAufIkkHSh0bIh2xqjxNovCs7RCCoJIEyWancggsmteEgyowEu71XQXF4xYFAWLwiIrl+ntUUBsJOJghs0yz4IGimhngphssyi9iZizDm0UYaS9Y3UFtF3pkEZhRgY19vWRZ43suHJtric/sqqusLWoUBGOY/R4zF7hmOWebVZaoY1kK/HmW3ZxiK2mVIORIRhHEI6YHZbMKhDsPzNFajTalSzny+rcC8zIVJLrhFl2nWXu1QHaeKAdKYlYzLGZl4KrUPl8axP6usINQzz8c73t4U5ojPUCvsW+7W1v67z/tm/7tudoJGfx3MZNZjduZIVvLdZqGJ86Tv5c0u5nVcmnNt6CmiX242rnHtdtu88jDUQTchAgL3PJ4VJy9ZpGSo1AEkUJ4zRlnE4ZjUaMkzFKBN6TgsADX+nl1NJ7UyOc9MDYKg90K4CshPfXqF/3gbCqUK5kJa9u5/rW5lxCrL4RbUa5fg+VUVfVpmaVV8B4GCzXrdrg25+1GrCuplvawNmvWwfPQ2zvSlZdP6e11IHNutWe1pjoXvSZ3U1zr2u/hIY8Gf4un0RxfRQAv5NxGrA75FC9adzWiSYH/G7EiXOC7/xQnhdxBoKruK1A+ARxsnqb/Y3WGeB+9AFw/e+t/MQ25RwPtx3uaWM95fqG2WbQ6c6EdvYvdee1EwIpqrxjBNEoRo0TEiNR58fYxYzZjWc4PDhgP4d9EUJhkRIi7W/IofamTt5m2Eu0RTRCaO9w7XTQfA2iyrAqDRRGSmRVMkYFGoj8dtGIUmrAg5fISLSS3hRLCrA5Qiqk1qgoRMQjRJRQVKZYRnrJdWJUZQxVSa61QoXe5MuMfL3fwvrPXGmFc45xpL1ZV7FsWDsVeam2CCtTrOpYpPQmX3FlPOaKAqz1LshGYkYRQodVTWXrJddaNeZjCkdeXU19rd9K2hyPyFt6Gw8eq/JINqfMMm/wZWRj1mVVQGEzSuu8FFhXhmhCNCZXteRbBQYZxhTlStoslUQZRaiVN6yqpODeSEwjwgikprCVFFwIhIJRqH19ZJtj65rSRiJDA0FIaR1Z6eswC+ll6qES/gGnyusWysuUayOt+nP0xy4ItMRofxy1tNnXgZbIQFc1lStZdwXOTSWfxpaN5FoogQwCUN26wvKWft0nD2ftyaTOL2Am+Gd/9mef6yGcxQs97hAQfk7DtfS7HVn0wG+9kVGzai9kt/7xgKTaiQLrvIT6cJYxm+/x9NWnGrZ4nE5I0xHj0ZRxOsbo5QoQi7ACvhotDMJJFBUYriTV/rX09xE8awy0mGOH6MmrhfDS5TYo9maglcy6mej3bYoWS1zYYQaZ1vvOs47rg+OqhrDbBI5ppM/1t832QGazvtVHvW0dfWDtX7dAcusjFq2xdbZptWmDZtvb12rrDc+Jg0vrvv1+yttwv7sTd8zj7nr9X0Udttr27rlDixNJv1+4d/HTxRkIbkXDZvaNqE4IWG8K2MLm/Q86FwwwwK1c4GaXx3TZz0e5G7U9+3nHm8D1oIGYq8y3moWyurH6mVrduhkpKRC2BBUgY8nYBIx34aKJKKMJ1/cPefL6Pnv7BxwczKBYEura5Ewi06kHpkpjwxSnI8ggUNIbNSlJajShEj5XV0pkuuUNvrbPI8Y7DTgLpeBcGhBrxU4UIG3ut1HaO0KPQW1fwIYpuXUUzjEKvQPxhUnIOFREFYBSgWcOkwvb6J3z2DAly/znlkY+P/l86qXNIt/3+a1GE01jwu0JarrLsrTM8hIlQQeKc2nATmRItJf32qJERaraZoyNJswLL71VWiG1ZDf1bLPMDrGVVNckxtf73d7xRlp54V2upUAFmt1xwCTS2Kv72Cz3ucWxIdpKkJMdMh0yz25UztiCURKwOw6JFb6kUl40ecrRzhg59iWVaqfnIFQEkWYr0oh8TjmvTNG0r0OsxtvYYMQs22eR2yrvVrCdGA/ODxa4wgNOHWnC6QiVTn3t4orV1UYTBL48Uqwlbjn3kmshVkZaQcIsr9hmIZBKelZXC2Q+p1zmTS50MI4IJiNyJ3zZpmqiQQd+m1DjjyXLEcpPWJgkwpmYrHQs8xKjVcNG3PF4Ecihz+IsVnGM03NfEt1ZebJKEkdu24tbZ4OPjmNl5Ws5UJuvBWujdPXkWW0+uurLteTStQFXV0oNWaGZZc/y1LOyYYvjeMQ4HZOmKZN0ShTFqKrGMUKiMd73AV0xxhKJrnKHV7LqGiJLpGeKqYHrypALWvnBLWOutsS6MeNqgeQh9pgWUK6Xw9FguX5dM8o1m9zevruvVQdt0EyznVgDv13zrS54brdrt+1/u9sya79Nl4IZ+jUMSbiHYiOR0unr9HEnM4hOEp4JvrvGWGfu0Ks4A8G3KW47AB7sZP0SMmSG9Vx/d9cI9VNeZDbmHLdm2F3jPu1XK7m6aNebuMq10mmfd1znHCdJwkUTsXtu15dDciX5Yobdu8rsumCeH0JZ4qTCKYOTCoFFSUGkFYHyMmitgKxAaM80CmsRYYzThtL5i7ZSklh7RjfQwpdtcg60QYYGqfy2TgXNsYRaIqVoSgpJW+BK642arEVFASKojbQ8CI2MJDSKOPB9iYqllFJUJaJ8aanCOc8cC4FWgriqw2ukLxFkyxKpJapim502TTklT8KLhqUWxRJb1nV91aqGrQ4olqtZCR1IkspEjCKjzAuQAml8eSSnAkrrSxdZ5127R0FVtskWvqSSq8pGhRoVh96AytaSY/9IEAWKQEvcbIkrSoQSCC3RoQbjGf289AyqEAKt/TnTCoTNm/I/Snu2WQQRhaORXEsFyojG5MrllbRZCVTkWXrP0i7JKuMvIYTvQwgoVkywVP5zkSYgs1BWJmpCCIyRvtQTlRlVBY6lkas+cs9oh4LKLfXO38ldkeGKL25jrLM4i9sat5kVvu1AuH2zPWl0WOEj2gz215NVUz871WwxrNyuoS7XJJxtAHHNFh8cZszm+zz1tERKg5aa8XjMON0iTVPGoxFaBgjhTbcaxtgJlNAeEAuxAsjO/3Wk1LimdJJsSkS6FXNMzRxXyp8aGNNlj5X0zyptZnfNYKsG2awY2xoYwwoc94FxvV+BNz1aB8c9Rrnurw+OWxMTm5jlVZ89hrleuda+a95lWf/q9BWYm34tm76lYuBVP45KGTrq6383DL1K582x7laUVZ/HxXONI+5WnIHggViTRp+gdFJTVuhUHZ3W/XkzA3wUAG7/vDr5wD0WeGj8HbZ2CIQf80s5MQCuc4KdG8w5rtu4gXEI2qYW1bYWn0PcBs+V+7QUECiBra6MgVKYJESNQ8Sl87B8kPlsxuFiyV6p2Vvk6OWcUMFW5IFpoIT/8TiHCCLkeMcPYLQFgQebgRKkxoPmSCtfGskXnUWEkb8RRgnEE2wwolz4sU0SQ6QVO7FnaEUxw4F3kY5D9M551M555oWjsKCVZDsJSEJdbSMRi8zXwY1C9CgiOjeFaExWOLLS5x2nzrGbhkwjTWwErvCgLhiFRNtj9PYOLhiRLTxw1MY7Ql+YhGxFGvLrHmxKSTgJCHcmyMkOLkyZ3fAGXyaQTEa+PFJsJHZ+gCtKdKggVITbY1/mqXAsK1ZXh5rtUci0yu91VdkmkxiiSeBZ3WjMbG6rXHMwoWZnFDAKJO7qAcUy82xzqAmmKWK0RWaFL6nkPNusKyMtYwvs4T62As7GGH8s6ZTDrFiVbQo0UaiZRJpIQb7wgFDoVa1na2Lm+czXO1YeaG/FFds8m3kQLL2sOxgniHTKsrDMshJnfd3oNNKMI+PLSS1mlIWtZODK96EjlkVOXjo/yXG37p9nTPBZnEUnumZSmxq1fjNHAeKTKs7uBBCG0/1uT9G2M9ZOrWNvz+xa6zrmW9ACxm2mGBq2uGwvlxwun+GpZ+o6xpo4TpiMJx4UpxOiMKmArHei9mWY9EbGuCOrrnKNPTz2QLlhiREVQyw2MseIKv+YeuJyBZJhlXtcb1vHWq5wCwg3gHe1+gRM8ooNHmKT2++bfhvZdR84t7ap+2///wijrTZI768b2lYOfOU2Ztn1fx8D4zxJ3I3SeKWrgKm4O5PHZ3WCu/GiB8EdrNv6vm+URjcNNgPGE4PhE8wQD4HQemynZYDri3NHlnwLMujTAuBbKkfV7KR7DqAH7EWvbX0Bb9c6Bl8OqYraARKpcASIEOIoJRaSHRNTILkxW3Lj4JD9/QOyxYx8MUO46iauI2Tq9++CEdbEwCrnGBSRVoRaIHK/jUzGEMaI2INAp0McBVpK0sDXrt2JK0nsbAFKYlLvUKum5yCekFtHaR2RluykAWmo2a4AlyuWCO2NlMwoRk23cWFKnjvK0nqWWUnOj71Zl8wXPicYCMYJ0bkparJNJjVZlfecRppR1cc4VMiZdzoWWhFMR0TbY+R4hzxIyYsbXqZuPDg9n4bEWvjaxRUIlloS7kywYcois2SFL08UhIrdceBl3dk1yhoEjwzhNEFO/LHM9kvvcm0UUez7SbTCzg+wWYHUAi29tLkB2rnfxgSKIFRstYC2K613pp4E3km8AtrL2uU60OykIaNAIosFxdKDYB16szIzGZNZwXxZUJQrk6tJbIiU8Mx5lnmmOVIEk6SpK7wsLM6C1rKpQyyyGXbh6wqrQBGMAnQ6ahyr88JipES39NC35Te2IZy1uPKLOyf4LM6iGyczyDpSGt1peHvSjk4PhCXHmmPdDBg+JgbrEbcnDjrPV22WGGgZcG0Gx1U7aiCsGqAskGTFHjf2n2rKNhkdMh6npKMJ43TMaJSgdUSdTyyERiKrfz1AlkIjq7JNlQe1l05XZZwEAuEE0smGQa6l1FCbZXmQvAaCGQbJbYn1UC5y/VG1pdbN+wEQ3AbL7eXtbdcYZlaAe7VseNK1Aep0Gq8B1z6D3R5Tu99OjycC0mtb9fo9+ju98RfeUiSeRADhez66r34+ri9ZdPfcof0v8Pi+Xix38Rc9CD4uNtYSPiJX+KZY4Q376fTH6QHwiYnY48Z7F40+aja4He3PoV9/+dh7dotB9zk63QuObH/GQoLU/tzXfw6iMMAYw/bWFloKtHC42Q0ObzzL/BnF4f4NstJ56bVUYD24DpSfLa7LPnlWWiBMCFIhIi9rrh+htBREWhJpX49WQXX1lRAEIFQluQ4orcNa0EIQtwyujAJs6c2XwgAVBWsyZaMERlXGW0r4erTOIpVCBgYVeZOvovRSXfCS67gy6zJSQOmNv4SS3vwq9pLjEho3baO8fDrSEg2VOQpI7WsxyyAC5Q2r6tlJpVuy7jJvDKhUZVglghinQwqboaR/WIgDXdV6BlcWVekiiZJUEmJNWU0aAM2YfR9LbO4BPVW5Iz8uQ2a9A7UUXgodVkZlFF5yLaXEydLXIQ5jCsvKrKvaVxJ4Ob3Lq/rISnqTs8AfS2EdZc2wClHVIZZgi4adF8qbldV91HWb1V1lgk/oDn0Ggs/iRRgnBsLP97gZifRNxBqLvoYy2s8kPROujvlW13jL76ZrvOXKAiEky6wge3bOs9eeqRhgySgZk45TpuMp6WhMEAQo5/OKvYy6AsR4xtiDU1X9edDsnyFkBxQr5yFxUbHGuDb4XYFkWU3CSwdlVUbJg1nXmHPVJli+zNIKFNuGrGGVf7zKRKrOHA0wLmkB47pd/ejDOjC2rY9kCEjX/1rXA6TV+9oleejpsWaV6095U26w7Ncn7nSz/j0d+gUOpQu1l/Tvamug2fX+7ey73/R01wDnxF1FnGfu0N04A8GtOI4Vhg3M8HEy4mbbo4Hm2jYDdYDb3Z8UALcZYD+O42XQm8e4Po6TxGkZqk1AeGP79gW0Ao1H9ahEt2yT92/wzLETojvp4Jxni6WXQCvpZ3RNOmYUR4idLYSzLPOCg0Kyv8yx1/fJikOM8zctI4QHp0LilEGmU+/8WxlvFc5fOiMt2YoMk1AT68p4y5UIEyBHUw+ekymuklxTbRMhGUeaWEmMcGAtMogwQiAnO8jxDqWJKewSIQVp5Jngncj4fg7r0j0VQzneRo63fD3aosQowTQOmMaarcjXR7bLha9dHIWYUUSwNcEFCYvCUZSOyEgCJTg39tJmmc8osyXOWswowowi5HSXDMWyyCmtw2hJEgq2IsMokIjDpQeCQhCMI8LpCJlukZmYRVHVLjaCaWLYSgISLT3bnHuDL6kl4dYYG4xYLmwDUINQsTMyTAKNyK/jlqs6yOE4RqbT6lh8vWOhJFGo2R4FHjjPvWEVUmDirpHWomKbtVGYQDEONTI7xM19XWFdGXyZdIQcjVlW5aSAVh1ijcgX/lisQ4eKYGSQ8dibm2UleekwSvh8Y07/GzttuCLHVa7bR7Y7iWT6LM7iBRMnL5f0/AbCJ2CD6+g8AN38deXUjPVGQ5GBZ6zOmxJ/fBWcOdJ4C9rmW/neAdf3JF+oJNTGBIzHqS/NNJ6SJiOkVEhhqi1bAFm0ALKs3agrOXb1eK0rFtlvqyowK71TdfVfLaOuAXItra4Z4Rrg9pnjNkiuz3dfZn0Ug1yvH5Jb099Pvay9nx5AHmKSO+s7/Q7/TjpGX+0VneX1M+x66lynj+rfdg7spl9nB/geAbz7cauT0J4JBou9K2xw6U6YE/wiQcFnIHhDbJI+bCylBMdKnU5TamgIANcxVAbp1HECAHyq8d5E37crTpu2UU909y/CDYPfK9tUA+U6T0eJatsaOOsA5yyBidjWIVMdsnPJcrgsOJzNmB8eki1niGyOWwiEVDhpQJqKOfbSLik9c2ydL/mka+YYQBlEGCMqgyeUwXmCFKO9YUekFUZVztgA2vgZ43iEiGIcsknpDI1vG+m6FE9VUkhXZY7CGKcCrPNss6xKPcWhJqyZYFuzup4FpmKoC+sfRYySoGjYY8olOM/QCu0ZZxnFvmxTzRALQVSVU9KyMp8qCu/mHJgV2+ycN6sS3oG5LiclsB6s2UqOHGp/7MpQuKL57UjlTbEiraoSTEXFagtvvBXGWBVS2JmfLJHe4CoyEiMEoirbJCVIo1BhgDBhZTwGzjmklhgjCaT07fMMW9omJ5jqHGfWg2YAVZXHaszNKtAptfDnLIopnCOrTbykr21JPZFzJ8PaEzLBZyD4LM7iiyZukRm+pRzmk/Q7AJRdCz51jbfqCY3afEtRWzfVZZrKZcYym/HMsx4US6kYJSPS8YTxaESajglMQClUjzH2YLs24apl1GVlxAUSjfLgtZJSA96lGoGswPEKGnuWti+lFq56FnFeetsFxWDrdRWAlm4F8NoMcv+s1YxwR9osWqxw63RvZJFbjHDNEA8xvFK0TLd669qsclcLsArbfGrQM6CmTX/0/aaGWeKq7YA5Vb1k6FvYlGwaEooOtN8Uzgn/zHAX3aFP8rN6kWDgMxB8VKw5FNfLj2OG13Z0xEPhhm3afQyxv3D0l3SIBb7pPOANUuwjN+kzs3Vs6vs2uWhuZMP6ZlpDV6k2e9xr3zWqaM0+CuGdnauo6xhrKRiFmjiYILcnKAGREuR7Vzm4cZ3Z3nUODg+Zl2ClxhbOA0scRqpGDl0DWhknuCDwNXVNjNW+3rFWgjTQBFIwrsokicrBV0aJ/3e8DZHPPa3HNq5coSeRRhYZoiwQSqOCAGLt826DUVO2KTSK0Ci2Y88cBxIoMlRgcLEl2Jo0ZYiyhf+Mfd6xYCvyZlKi2GvqEAfjhGA6qthmy6Ko3LeNZDsxbEW6YXVdkSOr8lDBNMUFic/vtdZPAEjBThqwFXnGtaikzTo2mHGCHE2ZlzDPS0rn2VOjVWOkxfUDWM49qx1rgnEM8YRCGRaFpayMtHZGAVuRIVIg8rkvJxVqVKgIJqk/ljarayTT2DCJNOT72MUhOM/q6sQz+y4YMTvwBl9+PsUzxyMjcbMZNvMMtU4MwWRUGWk5FoWvK6xVNyf4jsZJ5dAvmtvnWbx44nRsMHDHGeGbA5f1MZz2GeDWmOH+ubitjPngeKrrlOgbb/l17fzi1WT/qiQTFUCt2eIs3+fajad8K6kJTJ1bPCYdjxnFI6SUjcmWQCGFB9idHONaUv3/b+/cgyapyvv/Pef0Ze7v7uJeWLnIxUCIyjVuEFPKT0uwqJRUpUjFCwnGWpXCqEhUiFbA66qlxpKkFI0F/oxVmMRKKiIG8YKmwk0h8AMUIpoVZdnlspf3Nu9cus/vj3O6p3ume6bn0tM9M89na2rfmenuc7qnZ05/+/uc52HaMQbX9YqVQGZ+dupogQzAL+Okesn81/TuxjvHQMA9londY2+73e6xOmIIOciBp7Eusvde97aCZ0OkoywjlovoU7cEjXWWoxdHXAxhzzWjHP4Mjmrfga4VzKZz81gi2bd/UUZxEsEJ6FfyJypEN9Ypjtt+xDa6NzGs+AV6w6DVykOGQA8QwL6zNqwdG9OOR7/Q51G3CSAyzDpunX7Jt9R2vMEoIOAD83y85Ft+eJF0YRXLOKpQxFFbtwKMow2BlaaLQ8vLOLisEm85jgNLcD23FwATkJYStK4w4ZrK1WVwIRhQsTzRzGAyAE5Lh0/XVGeLKkzZkcq5LPjOMUfBYGDOhp5DbEAWy2o+bLEGaZfhNJSzWTQFbC1oi4ZKDCVdB9wyYRoGWGUJvLYZDcn8kkqVgoGCqcK7SwYHqytBx00ByyyhsHkJ0q6g6Ug0HVfPH1Yhx1XLQMFgkI26EntFG9ZS2RfarbZEy1FJwThn2FyydJKrZZXlmTMYpQKsSgm8ukWHdatz3jSUON2kQ5tlYwNOswkw5RzbSxVIu4RGG2i2HT8z9lLRVGHd7Q24OrRZ2AJW2QarqH3ZaKs5xIwxWJZArWihZhvgjTraOuTaKBqwaioUWloFJbRdJYLLBcO/QSHXV+E2WsrRLppKnHsh2rrUUsHkoSRvaSJdN1mo86LEURGzxdhjSnIhDOQ9NHoMvOM4pjs8DknFf3hqp+P3vfNyOPlWyDqMyUztuAKt9irWNw7h6WeUcGZM6AzUVVSrNZTLZVhmQbXABLiuXexnnfYTcHFwKNHMwMC5co+ZZFogG747HBVS7Werlp2wak+8dodWq74oNdktkv299EUy/OWCIlkv0hGuSYWytyI6grZbEHcLZu+1pII5uM3gst2v9yzTcyrFiGjP/e5ePH7VHroFNmOAo+sEu1OSnZQdOszCi+BRIn0GZYkbV8DFOb+D6CeAh50vmCQUOknfErnAU2agEEbyz1AG7soGj1looEA4fFr9p5JvCWGiapsolCvYstWFC2BjYwNOfQ2tRh0bBw+g0W5CCjUfCdwEuICrZTDnUglmruaGMm9A5wLwQq0NE1KYOsyIKefQcFXIMWPK3ZNShVyLtg6FNiGZ8H8sDc5gGwKW0OHTjq5DrDNgc7sIZhXguOoHVkAn0tICXYTCpw1V29eyIA0dci1VaK8pVDiwKZhOCuaqrM2GgFEsqJrKhoV2yxO0AoZgsLlKKAXZVgmuAHDTgLBNsEIRjis79Y6ZEtsq5BoqHNqV4IKDcRV2DaFCrr1QJ1MwlGwvrLul9t91IQy1PLOKkMJAs+GFKaMTPs2hLrR0aLNfh9guqJBrqcQxY96NCaFCwdutTl1hnUhLGhaazc7cZs7Y+DegkuI0gQR1gpO5xaPxghe8AL/+9a9Dr+3ZswdXX311am0SxKikKYTHC58cYn5wHGOGSY/KMPvdc/x7wvuSJN/yslZ3u+jh5FvLyy2srBwB268uq4uFkl+aqVKtolQowmVaNEPXKZZKEANQtYtl2xfEqmyTExLEgJpjzHwBrIOng6JYeuHUnXJOviiWWhRLpsKmgVBSLSZVOLWf1Zl1Qqx90QrWCYNmnTRQoURdoaPkfxh+GHRIGHeHUAc+Hq3F/e243YK2a31/HYS1bbRjHGFwYTDd35ruhGDddIdx93QyYXjypEg8Jzj9ruSChRfBwGg3NmOjbocY7/q1FyUw4xaPEr/BvgybCCuqHnF3f4cWwEMwyBmPO8bjJAZKmnQret3w8QLU5xB0ydU2uBKnkqnBM7CuX7tYAoVyEUa1BIMB7OitcJobWD9yEKv1DazWG1htc+VCcgYbHIJJWJzBEtyf2yuFBV6pQTID0ixCGgW4jppzrNoTsL2Q6w0taAtFSMNQ5YGsElzDgkQLBmcomQI1WyXFsgUDazSVmC9WAM7BykvKoXWVcDQEQ8U2UDEFyiZX67gtQItMo1QEr2yBtEpoN4G2I1XmZcFRtQNuc7ulw5RtGLUqeGUTNiRD01G1i4umQNkWWCqYytVe1wm+TAHLLMJaqgB2GQ1Xh1wzFXK9VDT8dVQZIlfNUTYNiCXlNm+0XLR1aHNJl1OqFQyw1qpfu9go2rCqJZ1Iq4yNNde/2VAtmFgqqZJVbn1NzW9mDGaloFzdQhWusNBoq21xwVEpqGRdql9rcBpNgDMY5SLMahkwi1hfd9BoKaFpm3xq2aGlk6xEkkx5RP/whz+M3bt3+8+r1Wqq7RFzQtIaJ5Nudkrh0cMzu0J4GCKPf2TFj0HJtzrh1Oq5d4EV5RgLrK5vYHX9IA48rcOhOUe1WkNFzyuuVCowhKnCpnVSLjAvHNr7m/vzib13VMg163GMAYRCqiMFcoxr7PWee9cjCCblkv77nnPc4+56y7POTYdu9xiId5A7Ry+8XFRirGDiLm/uc48LHF6ls4mgGx2xTPfPQ0iER72HZHOCe8bowDZdLUrdcb+LQ5BoTnC+v9YTg0TwhBn3xIkTl0kEcOj1EQVwT7sRFw2DBHDkdUZOXOBJECqn1Ge/IsPRvfW6/vYGF8GC60qAcRimhdqW56HGOCQ34JhFrK7X8fThZSwvr2JtfR1uuxn+oeVCnTNcKBeZc8BRbqvhqrJIBg/MdWYMEGpwZXYREKZKPgU1oFiCweKqfwwuIKXKhikMwDDA7QJcbqqyTVIl6zAFh6lLMBm6bBMYBzcFYBfBC0V/HUCFKZtAJ1mX0+q4x5YBZhXB7ALa2m3mXJVg8koKGUwLbUA5ujrJlzQsldMJXtkmlRTL8txmRyfSMg3l0JoWpDDQbjhwXKmTghkw9U0DOC1Ix1Xi3xC+2+wKC22drYxrZ1qVbWJAq6GSZQkOblkQtnLB21I51IIz5WgbHKahMz63tUPNmXaCDZ14TDnBTLv6Iu5HYNK4rv959CXl0bNarWLHjh2ptkEQ0QwXEh1krsOjZ+CKeeDxH+hshH/7fGc46BgHSjV554lKvuXCdYAjR9o4cuQgmC7PVCwUtTCuoFypoFQogjEOyVS2azV3uSOIlZg1QoIYAIQW5q4U/hxjHpC+3hxjLvW8Yl3RWInHoGvs+q6x/54Op3a1KIYMhFPrQ+a7x6zz7eh2j1X7nmiVnWg5qa59XHSW73GRg393W7wRTnCPm+xtw+tvRDh2d3vd68Y5y0G8fnQv68SEanuhyeoSaDrXyN7ZOYj8f6Mnw8KK4KiQ2AlMdRmaYcKdPaK+gIPKIKnXBp/6Ua4m0P+YRLnP4ZVH/3JHtRt1Q38SJZhGIiZsPG7TUbWfgYDoDa4v1R+Sq0FQ1TBWSTVKxSJ2WgVs37pNreC00Kivo7lySNUultq141xleeYGOHNhcQbD1KHH+uE1yIpl1UdTZS1uO+pc85JvVfV8YNZuqvBeYYCXq4AwVKknq+BrJG/eccUWKAgOA1I5hJYNLjhEZUnNo9X1fgFowchRswzYBsAaTV272IBZVmWLUKj6c4gFA6oFA7WSiWpBz6P1sykLmFWVSEqaRTQ2JNquSooluJrfW7MMNb9Xh3YbBQtmuQCh3ea2C7iuVO6xLbCpoBxavtGA06z7Cb5s7Ta7RgEb7WVwBu02q1JHBYNBNjfU/F5TwCwVYNUqfjmphuuCM5V9WjnHTPWr3YDbboNbBqxqCaxcg2sWsdFeQVvPobYFC9e5TpMh6gQ7joPl5eXQy7Ztw7btsbvxiU98Ah/5yEdw3HHH4Q1veAOuvPJKGMbCDmXEDDEpV3hymWQn4AYDU714Gifb9EjHP3afIuYYB93iHqcYcLvc4vbaOlbXDvmvGYatQ6hViaZKpQpDWFqMevOPDS1bu5NvhbNT+zWNWadEU7djDMAXyAyqtrH3tx9KLTuusXovPN8YCM4j9l7vOMdq36KSc3nvqSPozT3uvIaOUNbb8F5D13LdV2GDnOTQdoIR8jGOcly73W16rnDcskHX3SNYImkaSCkTRmsthgxeyCsH74LR+38aYngUsRukn/AFur5oI7q/kwqDDvVhSCYiTPNMRAIwfWM0/HkG3WYGoCt8GtD1ir2/DQuVog1eKwFH7wDaDayv17FWr2OlKbGyvgHe2oAlGKRkvghmcJXQFiaYVVJ/m0W4woRsq/rIBUPAEhIFg8E09Lxj6YKZlrpDbVl+yLXTVP0uGByW4KjZBkyuRB1cB9wqQEoLrLwE2GW0JHQJIqBsCphC1Ts23DbgNNVdcWFAVCw/5Ljlumi7LkzBUSuZWNJCsyAYZLMBbqqSTUa57K/TXG+j7UoUTAHOGWqWzljdXIb0RHDRhllVGas3HImGl0hLqPDpmpewqrnul1QyywUYlbIKhdbi3HOOayVV79mCA6nrI3PLglktgpWqkGYJGy3l6goOWIxjU0kl6+KtOtxmE9KRMAoqMzYvVtGUDC3H9Wsq24aACJxSaX5/pOtAJhTB99xzD5aWlkIvX3vttbjuuuvG6sM73/lOnHXWWdiyZQvuvPNOXHPNNXjqqafw2c9+dqztEkRyRneDPYIibhhBlk4ZlQkJYWBqrrB3zMYVw2P3o2cz/YSxet/PTB0Qx9Ai1mnW0Ti4goOHvAgxjlKpgkqlgkq1ikqpjEKxqCUq90OpvSzWfmZqhOcaB8OplTA2wJnnDuv/YYTDoQeEVav9D4dWqz7Hi2Tvc2OsM8Pai4Lzk0b5AjZaKAMYLJa7xKg/d7j740IywRzcVuzfcrBo9rbnhK6poXKpsPRyaQShxFhhFlIEdxPnCo77ez6u8O1HUgGclLhEWKMm6epsIEE/ErQdWjznOnlclzloCvu1i/XfnezT4bvh/vnAOMAkmDBRrpoo1TbheWYRLhiOrG/g8MoqVlfW0NxYQ3Oj3qmLzAWkUI6zFIafrEElXlJhxIZ++HavYaqav6YNVxiQXKWz9pJvWYLB4DoUuuWq+dBC1S5mlg0pTL8+rhembHEOg0En6wq0IwwwqwApDPUj7qrBzmZMhVwzLehdlZmZGYZfV9nlBlxXCV1VHonrZF3w90UlxDIgLEMlxXIk2rrWsCmYDp9W7ci2Sorl1Qf26yPrO6yCMUBAJ7nifh1iL7TZsC2V4EuYcBsq+7QpOARXc6e9ZGW+4GQc3FY1ldsuQsm6DNa5IEkb2XbgttqDl3Nd7Nr1B7jttttCr8e5wFdffTU++clP9t3mz3/+c5x66ql4z3ve47/2kpe8BJZl4W1vexv27NkzEZeZIJIxvhD2SCKIp1VDdCLMSHj0JOg73zgyjDqQfMsPo1bLhBNvdUKp19aXsba+jGeeUZfrplnw3eJKpYpyuQzBVeJMLxO1Ci1WSbakbIMxAw4CgrgrAZcSsoEkXFDXGn5IteQBQRs/19g7Fr7o9fKiAH5SLgDhxFza2/edYz88Wvoh1kpgqj8YC5jsgWzewWRdQFgYR4Vcs8B7vZ9S+D1/g93vh1/u9KtrW/5leVRkIzwneHoiOElirPmZwNgfEsGaQa4wMNzvehoCuDsL7CDxOw0HOGre6+hCfLSL+UjXOdh2hMieaFsj0O886102OkRdMJV8y0u85feNi872GVd/S6BoW7CtLdh+1BYIzsCki9baMtYPP4vV5SNYX1VhttIowNG//ib3El6oecGmgPrFZhzMsCE90WzYehhzwRlQMjlKpoBtMPUj47TU3d5iSYlhqwSYRVW2iTE/YVfJVBmYmVNXNZKFyqLM7aKqj2wWVdkmALZQGatrtgFbqERacFpghgmDC/ByFbyyhA0JtPWxKdoGiqZArWCgKDhYc0MJZ0PANIoq5NguoSUlmnqurq2TghUNjoJgQKsBSAfCMmFWiuDFKqRZRKup5veagqMkVC3mmm2Atdf9kGtRsGFUVYKvugs0XVVXWGXFNlA2DdVGe8PPDG0UbfBSFaykykm19W3ckmWgZAmVeXsKqMRYCb7TroQQArVaLdF2r7rqKlx22WV9lznxxBMjX9+1axfa7Tb27t2LU045JVF7BDEZJieEPbITuxN0g4F0wumimgnIjSxvFETeyIjcdyc02IeWiAqlRmf890KpHbeOjcYynjvoub8cpVIZ1WoV5UoZtUoNpmVFu8XaHfZKNYFxMBkOpw46xsGQ6pBAhqpv3HGEI1xj/ZpqrxNa7T9nnazV3nHrF16NoFCGFx7duXUQdJDV+whtI7hsZIgyC4RcBz6YoFhO5CSz8HtBaRs1UnsieFrnLznBYUgEd9HPxRvmBqcnDichhvuJX2BCArgPQ5VpGnZ/h3SBZ4Wo82gk4R2TfMs7F7vPDd859m9o8MA6nZAjzgDBBexKBdWCie3btgLSRaPZwmpT4lC9iSMrq2gur6kZRky1FbjvGnKOJRNwoJJdMKgs1IKjt2yTMMEMQ63DOyWYVHZs5R5zz22WEsww1B1zqwAIExCGfz4ajMESrFPqqK1dSj0/lFkFSG76ibQE4M+jtQSHEKwzZUBwcGGoGsncRNuVfpZnzz32w8elil9iQrngvFCEww04ergzhXK1Vb8YmC6nBEAlBbNsMNNSrq6XFExwmHpfGFww7RwzwfxkXaoEVWc+j3LOGXhwmnmKX5ykdYKHHcy3bt2KrVu3jtSnBx54AJxzbNu2baT1CYJIkSm6wuOGSE+KkRJwMYbgTYiAtOtcy4W0tboB45VoWl1rY21txReylmWjVq2hVC6hWqmiXK5oMdvWibfaWlSr2sUqDZeaXyzBwXRoLpcqvNpFG4x5dYoNMMmUs+xJiAjX2BPEah/Cz7uzVHuHgEnvVnrHOfaTdDH9uieKg8sieEMkcHy7HGQ/YZZEoC+BtWS45BNC2+1sOXTZ1eUk88D/PWIz4rRQ4dASUk7HCZbI/juSJ2ZCBO/duxcf+chH8IMf/AD79+/Hzp078aY3vQkf+MAHYFnWxNsLXkiO6wxPqoZnrPAFRhK/QJcA9hxDJA+B7rtvY7jAY4+Zc5SJGkDsjYK4wx+XfEuwzhzkTtkmdBJvAbDMEjbXTFTB0XbVvNi11VWsr6+h3aijsbaqPithQKIAMBVGLYWhRDmUW8w5UNCiFq6jbgpwUyXSYiJUtsngSvxxpv63BQPTYbfMtMAM008K5TIDEi1wqERaNctAyVR1hdmGSrDFrCJU2aYapF3ynVPGGcqmUG6rnkPMnDbAObhpgRXK4OUapFWE04Ced8xgCu02Gwy83fCTbxkFG6xcBassoemqMk8OgJIlYJvCT4qFxgbQboFxBlGwwItVoFhD03Gxod3ekiVQKRio2AK8VQdz9L5wDqNo6rJVqtSTI5VDXS0oJ9iY0vwA6SZ3gtPgrrvuwj333IPzzz8f1WoVd911F6688kq86U1vwubNm1Npk5gc0x7Hp8Pk3eDsmLAb7DHl8OhuAZrFBX93mwPnffccH28qDAvMLVZSNTSvGEBUiab6xgbqG0fAntVuMBc9brFhmr5brEo0CX9usVeqyZtfnNgx1s/VPiuBDcB3jb1kXN2uMQDfOfZaBjzx7InkQc5xODTdn4eLjrDtLK8+Jb1CSIj7//tCORDSHeMgB7cd6SL7n2H4KYcKTW5JCRdtTCMIObETnHpP8sFMiOBHH30UruvihhtuwMknn4yHH34Yu3fvxtraGj796U+Pt/EBYbNJBbG/zITOnLjr2kmIXyA+BDpIUgHs/3DEhEGH5rSG3hj/4qHH+UpRAE8lA++I7YQSacXQ/Zkpt5qrVQKZLJX7rBJv2QaHvamGozYvqQRXkGisHML66jJWV5axvl5HvdlWn60WZ0wCJpRLa3Lmu6DSMAGXQwoT0lTze6FFMGcCggGWoUOuveR1dlH1yypBGgW09K+3IRgKhkDFE6deOSUuVCklywLsMqRZ9EWwxdWc44otYAsOk0El3xIGpGmDa0HrmEW06224ErAMVeKookO7WX1DlcAQHEapCFHZBFglNFyJlqvc5qKuj+yFULO1TtkmL8u1tApoup2Q65IlsFQ0UTYFWGsNslEHAAjbq6mssly3HZWxmjOGki3UHGLvVvmgC60xcZotOM3WwOWSuMWjYNs2br75Zlx33XVoNBo44YQTcOWVV4bmCRP5JdVxPClRpQXGhoTwQKYUHh3ZdA5CpkdtNy7xVlwYdZw4dlxgeWUdyysH1VuMw7YKShTrLNTlUlmJXeZJ0Y44BjqZpZXr64lbnU1aevWMVXvJBHInrBoAhOy8H+kiB0Opu0Sylwyrn0hW+y0D7+neKgu4Ryir9aQ/rEYKZd0Hf1mE3wsS96sjARV5NrU5wRJOgu/hsFGs1113HT70oQ+FXjvllFPw6KOPDrWdaTMTIvjCCy/EhRde6D8/8cQT8dhjj+ELX/jCZAdPP+wkxnmLmTccWmZIpzhu3bi21YajRWZS+oVAD+tu9wjgLobu24D2I+ceD8ncZ6AO4O3rwJvxXeHTXM839gcR5kVsuSgUSyjaFo7askXVLXYllhsODq+s4ODyKtbW1tFuOyqplr6mkoyBcaG2zwUk03/D1bWHlRgOJXpiDDBUwg8pDIBzlRBL98+rW6wSSem7qDpbNTNtXR9ZQDqq/5yrNiwtHDth2lwl3jJtMMOEBO/k/uIquZdlqCEcrqPcUCYAYQCGqinsup1BwwufFkzN22a6djA4h7AslU1bWHCk9O/I2joztqFvGvhCkjEISyUFcw0LTkvfleYMhuAQnGFKU4IhXZksHDqlC92zzjoLd999dyrbJtJnauM4QcSQl5DppESGVvdJvBUZRt1TvxgAODYaLjYa63j2OSV4hTBQLld00q0ayuUiDNOCK9X7LnO0eFTh1AwcLjqOsZRtePWMOyHVnSRcwZBqXxRLBlcLYpe5Whh74dLaGWYcLtzI0Go1eQh+aLW3rnd4Qom5oIWyN5dYslCItX9IZecoysB73d4o9xKBaWEdrE0cDLcOrdPziq7bK6E/n/SRSO9e1O/93u/he9/7nv98FkoX5r+HMRw5cgRbtmxJZ+NDuMNAvKgaVWvFirtJit9JlEGKEsBJ3elAX6L6MDSJ50CP9qFMywVOQtx840HnZeSuMx7+aQ8k0grWLg7VomWqpJLnqnDDQM0WKFer2LZdwpUSGxsbaNXXsFGvo374WTTdFiBUyKMMzO3lTLm6QGeOr1+2iQsws6jFcEFleXakP3/Y4Ay2oddxW4B0lQPMObhdgGvYkIYNx5EwmHKOLc5Qtgy1jtOClBLMsAHDBitV4JpFtFypMlOyTobnssnB3RbghSkLAzAt8HJVr+Oi6bgwBIMhBEqGQFGHdst2CxBcZZ4ulgG7AmkW/JBr2+CwDBXaXTA42PoGZKsB5mWSLtfgWmVVI3ilAUcqoV21DXUjYKSzaHiGSYxFEElIdRyfKuQGJyJDRzjUjRkSw7Gh1QMSb8W5xep5J/Ir6Ba3jqzh8JFn1VuMo2AXfbe4Wq2hULDBmNHjFnviOBROLcPh1AAgpOFvO84xVr3RrwUcY+g11LVIn7BqLyw8GEodcI95IEs1k2HnWPVtgHvsr9Nxj4PrAZ339Yohuh1lKVXizmnVCQ7eCunHKN8MwzCwY8eOEdbMjpkUwY8//jiuv/76gXePG40GGo2G/3x5eXn4xgJJhuJIKoqH2UZPH3qWH+MLM0YY8iTnAQNTcGUnEHKdR8YtwxS90d5j1fN5B8o0eXeY/begHVfGUCkVYVRKyqlsbYfT3MDaymGsrq5hbaOJ1abUIlqJXym9sGidSIsxlUiLO5Be+SbZachrRzCdSCuQGZtZyqWVwlSOs3SUCwzl6Bp6feiyScxLpKXdY698AAdTJZu4qqvsC23BITkHMy1Ibqp2/PsDSpRahl4Hrir3BIBxodYxTEhu+nNzONfJugwd2uw6KkGHzpjtJetywNB21dxuoR1qlRl6OhdySecE5+h+EZFjJjGOD5xrOVXmSQinzJTnCcd2A2wmhHCQoRJvRbjFahv6PPXLNEW7xfUNFxuNOp55VoUwG4aJcrnSEcaVqiovyIROiNUtiB24rBPKHNx2nGOslmqHw6h1Zmr1DQuXb3LhxJZw8vYz6BJLzxGOco718esk3Ao6zB09G5S/nbDqwNTJwLEOflZqu73n2zS/ClLKRNFao/TpF7/4BXbu3IlCoYBzzz0Xe/bswXHHHTdCL6dHpiJ4mPqQHk8++SQuvPBCXHLJJdi9e3ffdffs2dMToz4SUeKuj7ga2zXsIyZHEb9RJXZGcYBHmQfc04eufvjvJzhksaHQY4aR9EQXZcgw5063EB5GFIfaiYp2CNylDIb4qHYC51NgXc4YhPcWoOcHSx3SW0BtyzbUtgDgAo6wsLq2joPLK1heWcPa2ircdluJQCmVCyxNSJOr0GPDhgMJCanEsu6jX7appbM867JNrmGqkGPdN4sLGFyiaKgszAISzGmrO9p2UV0AmEVIw/bLKRmCoQCOkqWyMMNpgbmOmkdtWuDFCqRVgDQKaDeUA25whpIpULGEcpvbDVVXWJiALcBLVcAswhUW2tpVtjlH2TRQsfS8Y6cJt90CFwZgcpWsyy6h0YafSMsQHBVLqIzVblvXaE6XpNmh83BxS0yPmRnHpwIJ4cTkSAh7zIogjupnpDCOPb4RjnHM3OLOtRuH06yj2VrFocPPqDYZR7FQQrVaRbVaQ6lUQrGg83hEzCduJ3CMffdXqu1zeCHUMY6xZHq5Tj89xxiAH1btvdMdVu0fOxkQxL4PHQyhhj9Hu9s9VseiV1QH1+kk6uq8zhiDlOraQU7JCZYyeWIsx3F6zEPbtmHbds/yu3btwk033YRTTjkFTz31FD70oQ/hD//wD/Hwww+jWq1OqPeTJ1MRPGx9yH379uH888/Hy172MnzpS18auP1rrrkmlDRleXkZxx57bHihmBI0A0m6TlBgjNDOqI5vvyRUaQrgqP7GCeChRFucAO67UvgYRLUX0tIxOVNGuakx8WiAjIgLoQ7iZZyWUs2BjVyeQYVgMa5EJGMolUqwiyXs2Kbn1Dht1NfWsLFyCGtHDNTXViFdR83r5YY2jhlMxuBy5eaanHXaZAakYSlBKCxIw4LjarFsMADKbbUFV1mhpQsIA8wugAkDrqEEreuqgcxgDJbFUDINWIKDNVvKoTVMNY9Yh0+7hgW3rhJGFQxVH1mFXAOsocOnTRUKzktVuKZK8NXW35WCoZJ1VSwDpnQgW1o4W5YqKVWqwDGLaDZctF0JztUxUFmxAdaejgh2m204ZnvwciklxiLySS7G8VxBQjgxORHCHrMUJt3NsH2OS7qlthXccIQ49qbTSWBtvYG19UM48DQHIGCaFsrlEirlCqrVJRRLBQjeCaGOSr4VGU4NBiZFQFTqZFwynKEa6BXIvnCOEcgAIsOqvb+DodVRAtk/huiEXIfEMryEW3p7jPXMQfbmHwOAI92xzZykOAkTY0kp8eCDD2JpaSn0+rXXXovrrruuZ/nXvva1/t8veclLsGvXLhx//PH4p3/6J7zlLW8Zu99pkakIHqY+5JNPPonzzz8fZ599Nm688UZwPniQibtjMVXGOLEnLYDjyhANVQe4WwCPyMRKIs1bOaQcMOlQ6+7axR6cqVA0Vw8ilmmiuGUz+FIFbMc2uE4b6+t1rNXrWNlo4dB6A2235Weg5lw9lNvM4c0jBlcJsYDOgKSnHcPQIdSd80bV+vUTXXEB6UgVPi0YDKYSXHkOtVL6ekDXywe/P37iLR2uzbxQaGEATPgh1I7sfO+E4KpfHCrDtZ8US/gJuyQ4XOnAdXWyLRZIIjathBqOpDnBRA8LMY4PDQnhxORMCAOzLYaT4u1byEHuG0rNO8fDD6PW7wdCqZvNFlqtOg4fPgzG9gEAyqUKKhWdhbpcgW1bYbEL3j+cGp2cJCoY3NB/e4JY6rEwnISr484KX9j6ibjAAeb0JONSu65EsX+MdF3kkHOs1wkl1tLzkCU65gCHCj+WQXeZyc68bEz3PHMhI0Oyu5EATj/9dPzoRz8KvZ70t3jTpk34nd/5HTz++OOjdHNqzMSc4CeffBKvfOUrcfzxx+PTn/40nnnmGf+9iUzC9i7OMxZU48zzTeL8+s+n5AD39GuAGE/CpMKgo9qdlAucdya5TzLi/IhqJy4aIChQg+eaFCYYN1BeKqC8aQu2CgstCdQ3GlheWcXq2jrq66twmw1AzyGWWpxKrsKnJVSGa8EYpFBtGTp8mumwYjXXWNc6NizlOMPtLdvEmR8q4Lm6Updtclw1YHCdfKuo6xarsk1aBHuZp60SXMNCu+nqffacYAM252DtNeUCQ7nHzFIh2i1X+gm7DMb8ElEM07uDLGXCcOg5vnAkRif1cTwpqZRJioKEcGJyKISBxRLDHvGJtzq1i9V6wY30D6VeWW1gZfU5LVgB0yygWqlpYVxBsVgC58IPnx7oFsuOgFbze3vDqVnI/Y12jNW7Ua5xJxEX0OsaB9/znOPgc65fCzrFjAFCyk42a9Z5z0H0XOE08O7lD1wOgBACtVptpHZWV1fxy1/+EpdeeulI60+LmRDBt99+Ox5//HE8/vjjOOaYY0LvTbQcRwZieKwEV5p+JY9Cy43o/gKjXTMk7VcabXezSGWRck1QALNOiJH33K9dLN3AXRdvcFF3IZ9nWdiyZYtKDsUk1leWUT/8LFZXjmB9dQ1tqOQXrn+nG2roY53/PfwwYi+JVsA95qxTtkm97NVNMsEYg8sFJBdwvEpLjMHgEgYLlG2SEoxzVepJh2q7UsLRbimHKnHkJbtiTqBWIOdghqHakJ1Bkuk+mQaLmHuf3nmeNDu0JCeYiGBq43iumFUhnGKG6DhyKoQBJWzmWQgHiXSIQwv0T7w1uEwTR7O5joOHNnDwkNDClqFcKqNaXUK5XEK5XIZlKbeYcaGFbpxbzCGZDCS88sbxjhCOc4wZGKSX/ZmpMGqVaCuciMsFABYIpUYgIRdUGScJ6bvNEp0STr4DLAEn4A5DAi5D4kRVk0ImdoKH69Nf/dVf4Y/+6I9w/PHHY9++fbj22mshhMDrX//6Ubs6FWZCBF922WUD5xwNg2SsUz810hIcbx7vIMYVvpHiss/81+5dTCKAoxxgQB+vYUs1jVEOaeRkWAmd8L6bGPGHaVrzgdNsJ6om9sgCK8HNkO5NSx7+aZL6Akkw9bcX7CwYQ7VaRa1UwHa5E0y62Gg5WF2v4/B6A8urq3DW6v6lqCk685YlF2DCVKHQXIVDO3r4NHTxXUso15W7Xq1f4SffglHQYcquv47BlQts+mWb2krMFkpgpqXKKTmdiGEVcq2WNzkDmmquMhMcTBRV0i6hknV5c5VtzmAbAgaDCp2e0gDqtNpwWoPnBJMIJqKY9Dg+FlNzg4HZFcIZEMzImDNmMYHWOCRKvhVXpglQ0VmhZVVAcZxbvLyygZXVQ3phAdsu6HnFKhN1qVQGAOUWezfGE7jFXr/9+cX+a9GOMUOnlnGwrrFaopOpWvXFm5scrFwcLtsUekeLZAEemhPchgMXg8fWSaDmBCep8jDcOf7b3/4Wr3/96/Hcc89h69atePnLX46777478VSZrJgJEZwmoXDOKQnioIgdmEiqH1FZlscUv8D4IdCqH/37NixphkEPt4H+NaTJcR6O2MRb3nHuyj4NQNcX9lbUHygXgGSQELANG1a5hpq62YqNZhtra2vYqK+hWa+rhFuMq/m/hq3a4EKXU1KOrBkQqSZjep4u16HWytGVpspY7ULNTTa1q2sLDkswoN0JhQYAqZN1uRJwIGFwDtd1/frFpgD8slPCUPOB7QJcw/SnCauaygIFg6u/ZcA5TpnETnAOL2AJIls68yqJBOTYFQYWTxB7JN1XFaYcI5B7xHEnlDpYv3hjo4GNjRU8+9xTWtgaul5xFZVyGZVqFULfLOdc+MKUcU+49hHHug1PHAMIhVOr597fgTnDgXBqbz+FNODo9pKIYn/bgTrGTdaCdKcjgtOqE3zzzTeP0JvsWXgRHEQy1t8pSyFceqSQ4QTiKxUBnJBRyiGFhU24/SyY5lxgmncctYH474Vf+oAh/EvtzznvzONxpIRlGrA2LQGblmByVZ1wY/kg1tdWsbqyjPX1OurNtu82g6lQaFXz10tYpRv0k28JQGesBrwBVJ3Dat1gv1QAlL8OOqHQhnaamV5PvcFVIi1h6oRanWNhqJhuGMIP5hr5EA+LqhOcQHRTdmiCIMYl50LYY5FCpZMSPB6x7nGixFudMGopXaysNLG6egTQbm2hUES1UkWlUkG5UkGxUATT4w9jBhhz40OpVVAyGBzVhi+IHaiUXKpPnmPs6nBqQM3t9ffNy2kCASldXzi74OBMhkOnAwm3vGRbANBGW4eKp0/ycOjFgERwFwOdYaD3Aj3tkzdGEAwq+QOMJ36BMR3gBImwvP51C+AgQ7vAMaHQfe9vJBHclIk6VeK+bzIoeiNX5OEf7MDnL1hYKHrCuViuoFgq46jnbQW4QNtxsVxvYmVtFYeOrGJ1dQ1SSphCC0/AT7wFqFBqGRDBgnfKKnllm/yQcp2t2ku85bpq3DQEA5ccJlelnnxxb9nKWjZMSKOgagy76qWCoeYnFQwO4anmJL9ZEyBxneCFGT6JmWaqIdEe5AgPRY7Do4MsQgKtUYkNq45KvBW8XvP/CDjFQMgtrtcbqNeX8fQzUEmtOEe5XEO1WkGlrISxKs/USbQ1KJRavddxgTuZnzvh1I7n9TIOyFbIJVbrR9cyVs+1u8w6ybVa2IDjtqZyniedg7wo5zKJ4D70nTccJA1R3McJSyJ+gdEEcKgLE/5CDrO5ka9NRqxDPJCcCeBZr0M86TJM3ShXt/Ocd3+XmbZ39fwiYRpYsoqo1GrYtl0lrqrX62jW17BRr2Nj+SCa7Q14kVTgQjsV6nJWMDXHiTPmJ/jy29EJtFRbLNAnaAc4uI5ygSWgsklzdYeas45zDACW4B3neEq4zTZcMbgesXTyc54RBEFMC3KFk+EVDOp9o+vYMe0Gh9b1IjJ73WLH4VhePoiVlcMAVNKtQqGAWnUJ5XIR5UoVBbugbmZLDgknOvGW9Nzk3uRbSgy7IadYJd7y5jwDXCfeAuCXawJ65xb7TjBr6YlV6dOGi3aCtqaVrTprFl4E90RmRC3THaY7rCgekzixENeNUcVvZPhzwiRYSWoTJ+3jyMmw+jCMC5xILE5oPnCehOm06RbCUdMR+h3T0LIRn4e3KkcgI3QgGYf/Egsm0FBzggVnsKpliFoFHBLMORrtjXWsra1idU3VLl5tOIAjdVZotS3BlBvMpAqvZkw5wND/SybAoco2mXod5RzrznCu5ilz0y/bBC4AV7nNJTVxGIJr4Q0GxqfzMy5dFy7NCSaICUCO8FDMSGg0sLjzhYdlrMRbXkSWv1x80q319TrW14+o7TMOISxUKhUdRl1GqVwGZ50s1d1uMdcyqXtuMYBw8i3ZSarlX134Uyjhh1X7+xq4Zmm7TThuY8ARmxRuQsG9GOfuQovgkL6KugEVt94AsZNmpt9xhS8QL36BeNE5bAi0el3/UA0I0U7kRKcUBj2QhMJ7mgmx8p58a5jzP0oIT7w/MZv0z1t/wNOlDwIh+v68Y8ZhFEpYsotYOkqHRHEDy6trWF5ZwcqqEsjSaSslLaEcYKgwKsmFLsOkXF0jYKgagoFzAJCQwgTMgjrvmAEIA9DCGoJDQmWiFp7wll4oePrnRNJwaBLBBJGUvGaOzlfkE4CZEsIeFCY9HEmO06hJtzxx3JZtHD68jsOHn1XbYxzFYhGVSk0n3arAsuxOa0FxDMCrYazeDYhaLzFXICN1qN9dN+qDz123DcdtTuUsUYmxaE6wx0KL4H4kcYhj103hQr7fb3+WAjiOpA5womRYU63bPJoLHEcm086IwfQpKdZvfrqKW+bKSWYM5XIZxVIZ27ap88Zpt9BcXwOcFpjT1LWCXZUQixlwrSI2Wi4cCbT1uWYwhoLBYMAFb62DNevqxOEC0jDhWhXUHYa2lGjqUGPBGUoGhy3VPCJpWH4Xl1dXJ3WUQiTNDg0qkUTMCrn4gSZXODEzKIQBEsOTJFHSLaArlDom6RZUePX6+grW19fwzDMHAACGYaNarfoOsbcNtdmOS6z6EO3uRj3vXr6zTy42mofgOCuBXUnnutdNqU7wrLLQIjjJ7+nAyOcJjZ/D/K4PI3qB6Iv6SYjfSTvAScKxYxnRBY49DkO0PWy4emx7KZK3OsRpM+qc47jQ+GDItHpD/e0n3tIrWraNsm2BuW3A9RJ5uHoOMYcrTLRdNefY04qCMz9rNWs31LpSz3PiBqRhoyUBx5Xwptsy6BrGcMGkG6qrLExz6P1OgnSSzffNySlAEDMGieFEzEiyrCgoVHqyxB3DXrc4UNWgxy3uhFKr4hAMrWYTB59b0eN8vMj1slT3tJ/QKFGjvvreu84aXNkKdizRNobF1f8GsSjn50KL4Ekwzd/hcRxfj6TzbYeqATxBARxuKF0B3Jcx78KldV7MsjCdJJPcp0THNKZ2MRCRWV3qOcccWswK3z0GOvOOmfTW76ynSjAFfpb9u82963CdmGukMmsj4LQdOK3BJZKSZZAmiJyQCzc4SNYh0vT9nQaURCs9ErvF/kKdc15PhtJPHDAE3+v+XnbX9uWxTQxCIkH5wQngMgcOG9wWJcZaEPIeXTNuhmcg3t0CECn2RhHAScogxfU10gEegWEFcF8XOHalwRcnidqekjM7KtNqK01R33Fx49sYqv0+ybeitx2dfIszNe/YS4YV/D5IboS+fzJmnU7b07tYdh0Jl5xggpgCwTGYnOFI8n7xlgByhtNntARcWiSGXGOuXeN+jCFkp3Quq3BocoI9Fl4EEwRBEIOhOcEEQRAEMbtIyg4dgkQwet2cPNxc7OcA903co4laJA0HWL0X7cBG7cM0wqATrTqBucBR7ebh3MmKWQi7TtvhDtUHlm5PBmqPft/hqPBmL3N1lkhH0pxgYj7JXUh0kGnNFZ7BMOgZnh/cDSXPmh6jZaF2cvwbkRzJXLgsgRPMFuM8JBEcQfA8z+q3NYnQ7Wag8AWGFr/AZEKggYSZqacwF7fvoZ2wAE70maTILAjTtBk5Sda4xy4mdL47ii/UtT5zj731xinfNg5uK9lcokRuMUEQQ9L9vZqUKJ6D7+schEZ7UIh0PvCOfSh0OsVzbFqfdRsORM9c5l6ShEzPAwspgpmUoQvcfheOeXSJPeK6ndTZHFX8qveSu7/AhDNB9+nLwNWGnB+dtM3EU4rjFowRPnHtpQkl30qH4HHte4j7zDvPSgADgOtKuAlCnelUIGaSXLvBUUSNV0mF8Rxe4M6REPYgdzh7uo99z3ziIdbNA0nDofPY9zRYSBHcTfcF/DCiGEj/d3fQuDxQWPUsP3nxCyQTwEmzU3v9jMx8myAbdRImJYBjV0n6W5lSPbi8C9Npie202hnGYZ7mTYy0SBoOPW8XogQxO8yhuB2GORTCAInhPDHrn4FKi5UgomtBfktIBBMEQRADUdmhE9xBnu1rBIIgCIKYSygxVhgSwREM4wwD04+g6utS9XEV03KAgTHmAAM9ffb6mdQFTsowLvQwjBUKnaDtvIdCEx0kY4mnWgzDINd5Gp+bdJMmxlqMwZOYQ2YuJJroYU7dYIAcYWJ83KSJsRbkHCMRLN2BtV/7ic40Lz4ThX4OEFFDC19gqLmvY80BBmIFcCQRCbmi+jSIoQXwCHOBE50W3W1HfBajnl95T741z/OO0/pNGDXB16Rwmg4cmaBOdpKQaYIgiLSYYyEMkBgmRsdBGw5aA5ejxFiLgCdCooTQAGHsLzbtH9qEruVQ5Y78lXjXcuO7v0DyJFhJHeB+fYqibzmkgSvHnwfDbGqcMkzTYh6F6bztU7cQnmqUgCshk9QAzvHxI4iBkBs8H8y5EAZ6kzSRKCYGIaUDV9KcYI/FFsH9iBMpCcVxau33YSThC0xE/AKjhz+r99MJge7LEMmwutseSwAnZBZc4DwzS6Hdw3xmWTnC0pVwqU4wsQiQEJ4PFkAIB6HySsQgaE5wGBLBBEEQxECk40ImmUuUxC0mCIIgCGKqKBGcxAlejHF8sUUw48M7rjkMY41ygPs6v0BflxMYzwEGYlzgPg6w6kO8CzyKCzupmsDDtt/XQEgYYRDn9AXbjlpk2q7ztNqaZ3d7VvbNabpwXBLBBEHMEAvmBnswsIURMkRyHLTB0R64HIVDLwqjCOGcMVDweiRIvBQ3Vgw7/xdIlgG604/JCuCeTfUR4oMYRrSNNP844ec3SACPyjTDrvMeojwLgjSrY6jmBCf4/szAMSSIgVBI9PxAQpggFNKFTDIneMZ1UVKmNME15zDeecwbEfsmGfMf/msy3v3tFsCcscj5vxMTwIH+jjwPd0LJsIbJRD3weinhj0qUyFnA8XssZsFtZlLOhOj2cPWc4EGPNHfpYx/7GF72spehVCph06ZNkcs88cQTuOiii1AqlbBt2za8973vRbs9+M43QRBzzILe0GD6H0EAKutzkn+LcvOEnOBuugXZrN0NiRHywwqrpM4vMFoCrE6/Rq9NHEfSckzRK09GACdue4QbL3Fjed7LIs1CW8MwjiOb133qh3RkooExzXDoZrOJSy65BOeeey6+8pWv9LzvOA4uuugi7NixA3feeSeeeuop/Nmf/RlM08THP/7x1PpFzCne93RBBdTcsaCOMEBJswhF0jnBlBiLIAiCIDRO04EjBouBNEXwhz70IQDATTfdFPn+d7/7XfzsZz/D9773PWzfvh1nnHEGPvKRj+D9738/rrvuOliWlVrfCIIgCCLPOLINJgdHRi1KneA5jP9NRnc4cCzBcOK8hUt39y0iuVLUfg4KfU4S/gyEQ6B7QjsTJMFK4gLH9TWO2I80RRd4IENEEyT9rLqZZkKsvLc1z/OOs9w36UrlBg94wFWO7PLycujRaDRS7+Ndd92FF7/4xdi+fbv/2gUXXIDl5WU88sgjqbdPEETOyfn4MA1Y4B+xaKg5wYMeMxcFOyI5U3XTIRRmGyMUY4kSnmkK5CHaC+5L1HzffoIqLvx5JPEbMQc4WAd4UBKsoABOyjBzkodl2GzQoybEmrjAifgsiGimFZ48i2HQHjJwk6zfQ0LinnvuwdLSUuixZ8+e1Pu4f//+kAAG4D/fv39/6u0Tc8oMf2+JCEgI+5AYXiy8OsGDH4vxm0fh0AGiRMhQF61Tdor7iaak3Q6K37g5v8Boc16HyQCt3p9gFuiYPkWvNHo5pJHbT3CuRLWduCxSgn3Pe1kkIkzWx9CREk6CL4QLYNeuXbjttttCr9u2Hbn81VdfjU9+8pN9t/nzn/8cp556auK+EsTEoWzRxBxDmaQXAyndhJmfF+NcIBE8gH4XntNwdZJe+A7bFU/89hO+wOgJn5LW/+0sM4bwjNqFER3QYfsxVhbqmHbj2s5DXeBphidPq61ZcIGT7lea++JI9RiElIAQArVaLdF2r7rqKlx22WV9lznxxBMTbWvHjh249957Q68dOHDAf48gxoKE8PywwEmy4vAcYRLD80vSxFiLcg6QCCYIgiAG0nIlmgkGxqipFf3YunUrtm7dOmq3Qpx77rn42Mc+hqeffhrbtm0DANx+++2o1Wo47bTTJtIGQRAEQcwirtsGgxi43KLUCV54ERy8Xhv2Bm+mSWrGvEkzbw7wyA7YGOHYfdsfIhR61CRcicKgJxiiT2WRRmce9meYcOi0eOKJJ3Dw4EE88cQTcBwHDzzwAADg5JNPRqVSwWte8xqcdtppuPTSS/GpT30K+/fvxwc/+EFcccUVseHYBEEsKOQGR0KO8PwidR3gwcstxme/0CK4R7fEfOZZRj9N8/c5UbhtAvELDDf/F5igAB5hHvAofUlLACdpb1yynltKDEdePq9hwqHT4m/+5m/w1a9+1X9+5plnAgB++MMf4pWvfCWEELjllltw+eWX49xzz0W5XMaf//mf48Mf/nB6nSIWCwqJJhaEqIRZiyKO5hUpZTKXd0FuDi20CE56E3Aic1RH3FbaTCLRUjDzc/QCk3N/gfSyQCftT9/rnzH6MFQOthFd4GnOzx21vXltK8/tJCGpE5zmT9xNN90UWyPY4/jjj8ett96aYi+IhYeE8PxAbvBQkEs82/glkAYttyB1ghdaBKdF3n9P48buvItfYLIO8Ch96hsmPqgPE3KBR80GHYe3uYlXaKLs0wCmK7TTPA4tF2gmWC6JW0wQMw8J4fmBhPDQUDbp2cSVDiDbA5ejOcEEQRAEoVHh0EmcYLowIgiCIIi8IUElkoIsvAgO3sid1xuB/W5Wj+MqxjrAwETn/wJjzMFNs09jhGInbT+R0RDVdg5CoeeVPLvOaZJ0TrBLpwuxKJAbTCwwFBo9e6gSSZQYy2PhRXCQ7rFsVq/9B43Jkw6nDW88PfELTH4OMJB9GPTYc4HHYNDmZqEO8ajkWdznUWg7yH5OMEHkDhLC8wGFRI8MhUbPEFImm++7IN8FEsF9iBvX8nJuJB13+17spyB+gZTn/wLD9XsGHWBg9DJVSV3gvJzHHnlPUjWttvIogAHl8A5Op5G/84ogCCIRJIRHhoTwbKBCockJ9phcEdEp0Wg0cMYZZ4Ax5teIHBYmZc9jqPVZ/8ekGLWdgfsm3c5jrA7yzsPbNGP+RbyUKSXAmoAATtq37mM9tAAeUYAnSoY1oL24dqPaTpwlPAGzIEpH2be8itNp0XRlokcSt5hYbCYxjucKOufnhwX/nR+HqJJKRL6Qsp3oMTGDLOfMnAh+3/veh507d2bdDYIgiIXCK5E06EFygBgEjeMEQRDTR0L684L7PxZjJJ8pEfyd73wH3/3ud/HpT3964tse1x0ObWuAg5v0MUqfBzq/k7i70+X+AmEHGBjPAZ5YHeA+LnDSvoSej+ECdzO2cZA4edl0XWBiPMZxm9P+zCRUENWgB505RD/SHMczhX4z5wdyg0eG6X/dz4P/iOyQ0k30WJSRfGbmBB84cAC7d+/Gv/3bv6FUKk2lzX4XldMKjRzpwjatMIYEdW4nEf4MjDkHGMiVAB52HvKk5gKnMg9Yuv3F/ZwmxMr7fk2jHUdKOAkGxkW5g0wMTxbj+FShJFnzA80PHot+YpfmD2dJksweAIngHCGlxGWXXYa3v/3tOOecc7B3795E6zUaDTQaDf/58vLyxPqUG6cs7bj9KSRZmmgG6AkkwRo7IdcYDvAkk2ElYSgXOKVzbZpzj3PzvU2JNPev6UoYbPD2k5RRIhaPPI7jqUBCeH4gIZwaJISzQUoHSQRuslrCs0+m4dBXX301GGN9H48++iiuv/56rKys4Jprrhlq+3v27MHS0pL/OPbYY3sX6g4VnlTI8KSZZj8jEl4B0SHP4ya/6hacIwvgiARd3f1M2qdYRnCAh3GhJ+mGT9wFTtD2vCaOmpYLnHe32asTPOhB14yLRS7G8bxBXwKCGAiFRmdAnJbo0RaL8RvGpMzu1/qZZ57Bc88913eZE088EX/yJ3+Cb33rW2CBi0THcSCEwBvf+EZ89atfjVw36g7yscceiwP796NWq6kXJ+yspcY0hXnMvk+ivFComUmGQE+oRNNMhkF3tRvVdlz7iZ3gYNsJz4+k5N0JnjURfGRlBTu2b8eRI0c6v3NjUK/XUSqV8DZ+LIpMDFz+Dvc5/J8rd+Mzn/nM2G0T+SercRwQYHlOazKnNwUXDrqhkSrkBschATgTG8cBwLZtNJsAS6BvpGzhL/7iz/GVr3xlIm3nlUzDobdu3YqtW7cOXO7zn/88PvrRj/rP9+3bhwsuuADf+MY3sGvXrtj1bNuGbdujdS6pABtXLOfFdR5C2ORK/AKpCOBJh0EPyzgCOIqxBHCCtuZVAOedae6TQ3WCiQhyPY5nSdIfXSK/0I9Z6lBY9LTxUlwmWW7+mYk5wccdd1zoeaVSAQCcdNJJOOaYY8bbuHdRP6oYzYuIHYYBoqmfwEht7i8wUfELTCgJVtJ+jdGXkWsCJ2g3ru2R5gJPWACPyjQFcN5d4GnSlBIiwX4lTbtBLBapjuOzwiQHUGJ4SNTmDhLA08aFlEl+Sxbjc5kJETwVsgp/nrSIHnE/Bl2EjzJ2xG1ybPcqYbKuRJsaVwCPmZF55OuaIT5nL7dHv7b6fiYpZIMe2OYMM08ZoQHAMAxY4HgWTRyLYt9lJSSeRRPbtm2bSt+Ixca7gF6IuYVz+ntJzAckZvNPs9mESgWV7PdyEcbxmRTBL3jBC5DhVObJkpH4Hla8TOIm9KihtoOI25dh+xzZvwl8Pkn7MaoQBQZ/niML4JTI89zccdubN0zTxFmo4R4cwvNRAO8zgP4adRxGC5dffvkUe0jMIpMcx+kCvJeFuDGwQNA5TozLl7/8ZezevRtKBPfNAgtA4j3vec90OpYhOc4qQRAEQeSBH9afQgMufoG12GUcSNyDQ/jM318/sUQeBEEQBEGMz5vf/Gb9V78bKiohF8AT5XqYdUgELwheuZ7usj3ToKf00YSY1L5Mon/j9iWr0OBx2s17SZ9xmOa+zUKSr0KhgBu+/n/xExxGOyapxqNYhQT0nWaCILJE0r+5+kcQ4yKEwLe//W2oxFhx55R6fW1tZVrdypSFFMHdgnAewx7zsH95F7/AZMTEuH2ZhACfNrMSmjwLYdd5baebP/3TP0URAg+hd3BswsV9OIyb/vWfYZpmBr0jCIIgCKIfr33ta6FCoaNuZqvM0TfeeCNKpdJ0O5YRCymCo5glYRzV1zz1PS3xO2lmoY+DyMJ9zvr8Sso0P995P5YAwDnHP/3gP/AAjqDelQP6QSxjCSZe97rXZdQ7giAIgiD6wRjDT3/6E3jzfsOo55deeum0u5UZM5kYa9L0u4DNezmWJG1N+kJ7HsTjpPYhaxHDpMy8D8TicP7552MHCrgfR3AetgAA1tDG/8My/vOuO8HoXCQIgiCI3HL22Wej4wYL/apygf/jP/4DQojYdecNcoIJgiCIxHznkZ/i51jFEbQAAD/FERyHIv7gD/4g454RBEEQBDGIvXv/F2E32AXAcMEFF2TXqQxYWCd4kBM4LQc4z0lxhmln6JJLGYaPTvL4zbITKxkb6Vh464yy3+O0OWx73vLDtjcLbWUZjXHaaafhhSjjXhzG2VjCL7CGxx7/RWb9IQiCIAgiOccffzw6bjAHIPHAAw9k2qcsWFgRnLb4nEZynbTbyOs+jNv/gTV1p/AZDNvOJNrrt71piuHg8sO0O25789RWXDvTuiHzg33/g+N2Ph+H0cLvooKTTjppKu0SBEEQBDE+hw4dxObNm6FKIjGcfvrpWXdp6iyUCJb6gnFlJd+pv/MiUmn7+Whj3LbGbTeKrPoyC1mps9wvyZj/+yZTdIuPPvponI4aHsYKfvjMr1JrhyC66ZzXs5+bgiAIIhp9czzFcXzTpk1QLrCLJ574dWrt5JmFEsHexeELTz45454QBEGky8rKCpaWllLb/k/l4dS2TRBxdG5iR9erJgiCmBfSHseldAYvNMcwmeZthpzhui727duHarXak8V0eXkZxx57LH7zm9+gVqtl1MPxof3IF7Qf+WEe9gEYvB9SSqysrGDnzp3gnHIfEvMFjeOzA+1HvqD9yA80jueDhXKCOec45phj+i5Tq9Vm9ksVhPYjX9B+5Id52Aeg/36keeeYILKExvHZg/YjX9B+5Acax7OFbi8QBEEQBEEQBEEQCwOJYIIgCIIgCIIgCGJhIBGssW0b1157LWzbzrorY0H7kS9oP/LDPOwDMD/7QRCTZl6+G7Qf+YL2I1/Mw37Mwz7MAwuVGIsgCIIgCIIgCIJYbMgJJgiCIAiCIAiCIBYGEsEEQRAEQRAEQRDEwkAimCAIgiAIgiAIglgYSAQTBEEQBEEQBEEQCwOJ4Bi+/e1vY9euXSgWi9i8eTMuvvjirLs0Mo1GA2eccQYYY3jggQey7s5Q7N27F295y1twwgknoFgs4qSTTsK1116LZrOZddcG8vd///d4wQtegEKhgF27duHee+/NuktDsWfPHvz+7/8+qtUqtm3bhosvvhiPPfZY1t0am0984hNgjOHd73531l0ZmieffBJvetObcNRRR6FYLOLFL34xfvrTn2bdLYLIJTSO5wMax7ODxvH8QeN4fiARHME3v/lNXHrppXjzm9+MBx98EP/1X/+FN7zhDVl3a2Te9773YefOnVl3YyQeffRRuK6LG264AY888gj+9m//Fl/84hfx13/911l3rS/f+MY38J73vAfXXnst7r//fpx++um44IIL8PTTT2fdtcT86Ec/whVXXIG7774bt99+O1qtFl7zmtdgbW0t666NzE9+8hPccMMNeMlLXpJ1V4bm0KFDOO+882CaJr7zne/gZz/7GT7zmc9g8+bNWXeNIHIHjeP5gcbx7KBxPF/QOJ4zJBGi1WrJ5z//+fIf/uEfsu7KRLj11lvlqaeeKh955BEJQP73f/931l0am0996lPyhBNOyLobfXnpS18qr7jiCv+54zhy586dcs+ePRn2ajyefvppCUD+6Ec/yrorI7GysiJf+MIXyttvv12+4hWvkO9617uy7tJQvP/975cvf/nLs+4GQeQeGsfzD43j2UDjeLbQOJ4vyAnu4v7778eTTz4JzjnOPPNMHH300Xjta1+Lhx9+OOuuDc2BAwewe/dufO1rX0OpVMq6OxPjyJEj2LJlS9bdiKXZbOK+++7Dq1/9av81zjle/epX46677sqwZ+Nx5MgRAMj1se/HFVdcgYsuuij0ucwS//7v/45zzjkHl1xyCbZt24YzzzwTX/7yl7PuFkHkDhrH8w+N49lA43i20DieL0gEd/GrX/0KAHDdddfhgx/8IG655RZs3rwZr3zlK3Hw4MGMe5ccKSUuu+wyvP3tb8c555yTdXcmxuOPP47rr78eb3vb27LuSizPPvssHMfB9u3bQ69v374d+/fvz6hX4+G6Lt797nfjvPPOw4te9KKsuzM0N998M+6//37s2bMn666MzK9+9St84QtfwAtf+ELcdtttuPzyy/HOd74TX/3qV7PuGkHkChrH8w2N49lA43j20DieLxZGBF999dVgjPV9ePNWAOADH/gA/viP/xhnn302brzxRjDG8M///M8Z70Xy/bj++uuxsrKCa665JusuR5J0P4I8+eSTuPDCC3HJJZdg9+7dGfV8Mbniiivw8MMP4+abb866K0Pzm9/8Bu9617vw9a9/HYVCIevujIzrujjrrLPw8Y9/HGeeeSbe+ta3Yvfu3fjiF7+YddcIYirQOJ4vaByfLWgczx4ax/OFkXUHpsVVV12Fyy67rO8yJ554Ip566ikAwGmnnea/bts2TjzxRDzxxBNpdjERSffjBz/4Ae666y7Yth1675xzzsEb3/jGzO86Jd0Pj3379uH888/Hy172MnzpS19KuXfj8bznPQ9CCBw4cCD0+oEDB7Bjx46MejU673jHO3DLLbfgxz/+MY455pisuzM09913H55++mmcddZZ/muO4+DHP/4x/u7v/g6NRgNCiAx7mIyjjz469LsEAL/7u7+Lb37zmxn1iCCmC43jChrH04fG8XxB4ziRBgsjgrdu3YqtW7cOXO7ss8+Gbdt47LHH8PKXvxwA0Gq1sHfvXhx//PFpd3MgSffj85//PD760Y/6z/ft24cLLrgA3/jGN7Br1640u5iIpPsBqDvH559/vn83n/N8BzBYloWzzz4b3//+9/2SHK7r4vvf/z7e8Y53ZNu5IZBS4i//8i/xr//6r7jjjjtwwgknZN2lkXjVq16Fhx56KPTam9/8Zpx66ql4//vfPxMDJwCcd955PaUt/ud//icXv0sEMQ1oHKdxfFrQOJ4vaBwnUiHbvFz55F3vepd8/vOfL2+77Tb56KOPyre85S1y27Zt8uDBg1l3bWT+93//dyazSv72t7+VJ598snzVq14lf/vb38qnnnrKf+SZm2++Wdq2LW+66Sb5s5/9TL71rW+VmzZtkvv378+6a4m5/PLL5dLSkrzjjjtCx319fT3rro3NLGaVvPfee6VhGPJjH/uY/MUvfiG//vWvy1KpJP/xH/8x664RRO6gcTw/0DieHTSO5wsax/MFieAIms2mvOqqq+S2bdtktVqVr371q+XDDz+cdbfGYlYHzxtvvFECiHzkneuvv14ed9xx0rIs+dKXvlTefffdWXdpKOKO+4033ph118ZmFgdPKaX81re+JV/0ohdJ27blqaeeKr/0pS9l3SWCyCU0jucHGsezg8bx/EHjeH5gUko5Hc+ZIAiCIAiCIAiCILIl35MyCIIgCIIgCIIgCGKCkAgmCIIgCIIgCIIgFgYSwQRBEARBEARBEMTCQCKYIAiCIAiCIAiCWBhIBBMEQRAEQRAEQRALA4lggiAIgiAIgiAIYmEgEUwQBEEQBEEQBEEsDCSCCYIgCIIgCIIgiIWBRDBBEARBEARBEASxMJAIJgiCIAiCIAiCIBYGEsEEMWGeeeYZ7NixAx//+Mf91+68805YloXvf//7GfaMIAiCIIhB0DhOEPMPk1LKrDtBEPPGrbfeiosvvhh33nknTjnlFJxxxhl43eteh89+9rNZd40gCIIgiAHQOE4Q8w2JYIJIiSuuuALf+973cM455+Chhx7CT37yE9i2nXW3CIIgCIJIAI3jBDG/kAgmiJSo1+t40YtehN/85je477778OIXvzjrLhEEQRAEkRAaxwlifqE5wQSREr/85S+xb98+uK6LvXv3Zt0dgiAIgiCGgMZxgphfyAkmiBRoNpt46UtfijPOOAOnnHIKPve5z+Ghhx7Ctm3bsu4aQRAEQRADoHGcIOYbEsEEkQLvfe978S//8i948MEHUalU8IpXvAJLS0u45ZZbsu4aQRAEQRADoHGcIOYbCocmiAlzxx134HOf+xy+9rWvoVargXOOr33ta/jP//xPfOELX8i6ewRBEARB9IHGcYKYf8gJJgiCIAiCIAiCIBYGcoIJgiAIgiAIgiCIhYFEMEEQBEEQBEEQBLEwkAgmCIIgCIIgCIIgFgYSwQRBEARBEARBEMTCQCKYIAiCIAiCIAiCWBhIBBMEQRAEQRAEQRALA4lggiAIgiAIgiAIYmEgEUwQBEEQBEEQBEEsDCSCCYIgCIIgCIIgiIWBRDBBEARBEARBEASxMJAIJgiCIAiCIAiCIBYGEsEEQRAEQRAEQRDEwvD/AZYfSyJQEq5TAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x300 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(10, 3))\n",
    "sim_data.plot_field(field_monitor_name=\"field\", field_name=\"Ez\", val=\"real\", ax=ax1)\n",
    "sim_data.plot_field(field_monitor_name=\"field\", field_name=\"E\", val=\"abs\", ax=ax2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6171eaae-0a50-4106-acef-c6554c26db59",
   "metadata": {},
   "source": [
    "## Gradient-based Optimization\n",
    "\n",
    "Now that we have our design and post processing functions set up, we are finally ready to put everything together to start optimizing our device with inverse design.\n",
    "\n",
    "We first set up an objective function that takes the parameters, sets up and runs the simulation, and returns the transmission minus the penalty of the parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "c693a704-702b-4385-8eab-cd32dc4453a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "def objective(parameters: np.ndarray, verbose: bool = False) -> float:\n",
    "    \"\"\"Construct simulation, run, and measure transmission.\"\"\"\n",
    "    sim = make_sim_params(parameters, include_field_mnt=False)\n",
    "    sim_data = web.run(sim, task_name=\"autograd taper\", verbose=verbose)\n",
    "    return measure_transmission(sim_data) - penalty(parameters)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1b5e21d-679d-403f-a498-2b0041eaf7d7",
   "metadata": {},
   "source": [
    "To test our our objective, we will use `autograd` to make and run a function that returns the objective value and its gradient."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "2674e8d2-c0af-407a-8b82-fb9c49c24cd6",
   "metadata": {},
   "outputs": [],
   "source": [
    "grad_fn = ag.value_and_grad(objective)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "d8936843-692f-4e3b-a4be-b900bf82396f",
   "metadata": {},
   "outputs": [
    {
     "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\">10:44:33 EST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'autograd taper'</span> with task_id                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-db89418d-9727-43a3-b1cb-12c8f9fa03d0'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:44:33 EST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'autograd taper'\u001b[0m with task_id                         \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-db89418d-9727-43a3-b1cb-12c8f9fa03d0'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
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     "metadata": {},
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>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-db89418d-9727-43a3-b1cb-12c8f9fa03d0\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-db89418d-972</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-db89418d-9727-43a3-b1cb-12c8f9fa03d0\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">7-43a3-b1cb-12c8f9fa03d0'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=421584;https://tidy3d.simulation.cloud/workbench?taskId=fdve-db89418d-9727-43a3-b1cb-12c8f9fa03d0\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=211307;https://tidy3d.simulation.cloud/workbench?taskId=fdve-db89418d-9727-43a3-b1cb-12c8f9fa03d0\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=421584;https://tidy3d.simulation.cloud/workbench?taskId=fdve-db89418d-9727-43a3-b1cb-12c8f9fa03d0\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=186833;https://tidy3d.simulation.cloud/workbench?taskId=fdve-db89418d-9727-43a3-b1cb-12c8f9fa03d0\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=421584;https://tidy3d.simulation.cloud/workbench?taskId=fdve-db89418d-9727-43a3-b1cb-12c8f9fa03d0\u001b\\\u001b[32m-db89418d-972\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=421584;https://tidy3d.simulation.cloud/workbench?taskId=fdve-db89418d-9727-43a3-b1cb-12c8f9fa03d0\u001b\\\u001b[32m7-43a3-b1cb-12c8f9fa03d0'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
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       "model_id": "f1025d90d2f347d093b66c5688b25d79",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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\">10:44:34 EST </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:44:34 EST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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\">10:44:39 EST </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:44:39 EST\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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\">10:44:41 EST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>the billed FlexCredit cost after a simulation run.                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:44:41 EST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get\n",
       "\u001b[2;36m             \u001b[0mthe billed FlexCredit cost after a simulation run.                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "321eae1e10e64cff9f3da14a5c98fe89",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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\">10:44:45 EST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">40</span>%, exiting.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:44:45 EST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m40\u001b[0m%, exiting.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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\">10:44:47 EST </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:44:47 EST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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\">10:44:48 EST </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-db89418d-9727-43a3-b1cb-12c8f9fa03d0\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-db89418d-972</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-db89418d-9727-43a3-b1cb-12c8f9fa03d0\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">7-43a3-b1cb-12c8f9fa03d0'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:44:48 EST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=892658;https://tidy3d.simulation.cloud/workbench?taskId=fdve-db89418d-9727-43a3-b1cb-12c8f9fa03d0\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=503604;https://tidy3d.simulation.cloud/workbench?taskId=fdve-db89418d-9727-43a3-b1cb-12c8f9fa03d0\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=892658;https://tidy3d.simulation.cloud/workbench?taskId=fdve-db89418d-9727-43a3-b1cb-12c8f9fa03d0\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=865462;https://tidy3d.simulation.cloud/workbench?taskId=fdve-db89418d-9727-43a3-b1cb-12c8f9fa03d0\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=892658;https://tidy3d.simulation.cloud/workbench?taskId=fdve-db89418d-9727-43a3-b1cb-12c8f9fa03d0\u001b\\\u001b[4;34m-db89418d-972\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=892658;https://tidy3d.simulation.cloud/workbench?taskId=fdve-db89418d-9727-43a3-b1cb-12c8f9fa03d0\u001b\\\u001b[4;34m7-43a3-b1cb-12c8f9fa03d0'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
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     "output_type": "display_data"
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    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "629726739bc1433ea7b6e0e7e274d908",
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       "version_minor": 0
      },
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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\">10:44:50 EST </span>loading simulation from simulation_data.hdf5                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:44:50 EST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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\">'autograd taper_adjoint'</span> with task_id                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-3b2828d7-348d-49cc-8bbe-8aea9e6b578e'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'autograd taper_adjoint'\u001b[0m with task_id                 \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-3b2828d7-348d-49cc-8bbe-8aea9e6b578e'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </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-3b2828d7-348d-49cc-8bbe-8aea9e6b578e\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-3b2828d7-348</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-3b2828d7-348d-49cc-8bbe-8aea9e6b578e\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">d-49cc-8bbe-8aea9e6b578e'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=566314;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3b2828d7-348d-49cc-8bbe-8aea9e6b578e\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=747737;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3b2828d7-348d-49cc-8bbe-8aea9e6b578e\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=566314;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3b2828d7-348d-49cc-8bbe-8aea9e6b578e\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=456343;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3b2828d7-348d-49cc-8bbe-8aea9e6b578e\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=566314;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3b2828d7-348d-49cc-8bbe-8aea9e6b578e\u001b\\\u001b[32m-3b2828d7-348\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=566314;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3b2828d7-348d-49cc-8bbe-8aea9e6b578e\u001b\\\u001b[32md-49cc-8bbe-8aea9e6b578e'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "af40138d90e04d968a96555908e45685",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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\">10:44:52 EST </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:44:52 EST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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\">10:44:58 EST </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:44:58 EST\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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\">10:45:00 EST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>the billed FlexCredit cost after a simulation run.                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:45:00 EST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get\n",
       "\u001b[2;36m             \u001b[0mthe billed FlexCredit cost after a simulation run.                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5b61403250cf467f854580f3ceece106",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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\">10:45:03 EST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">60</span>%, exiting.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:45:03 EST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m60\u001b[0m%, exiting.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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\">10:45:05 EST </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:45:05 EST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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\">10:45:06 EST </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-3b2828d7-348d-49cc-8bbe-8aea9e6b578e\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-3b2828d7-348</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-3b2828d7-348d-49cc-8bbe-8aea9e6b578e\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">d-49cc-8bbe-8aea9e6b578e'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:45:06 EST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=708816;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3b2828d7-348d-49cc-8bbe-8aea9e6b578e\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=675206;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3b2828d7-348d-49cc-8bbe-8aea9e6b578e\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=708816;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3b2828d7-348d-49cc-8bbe-8aea9e6b578e\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=48519;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3b2828d7-348d-49cc-8bbe-8aea9e6b578e\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=708816;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3b2828d7-348d-49cc-8bbe-8aea9e6b578e\u001b\\\u001b[4;34m-3b2828d7-348\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=708816;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3b2828d7-348d-49cc-8bbe-8aea9e6b578e\u001b\\\u001b[4;34md-49cc-8bbe-8aea9e6b578e'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c38b6b4c45f7461397d820f05b093fb5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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\">10:45:08 EST </span>loading simulation from simulation_data_adjoint.hdf5               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:45:08 EST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data_adjoint.hdf5               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "val, grad = grad_fn(params0, verbose=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "d9612664-1030-4914-bb2a-03b4ffcefdaa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "objective = 7.22e-01\n",
      "gradient = [ 2.76000293e-03  1.02699094e-01  5.50668603e-02 -1.24014028e-01\n",
      " -2.58949492e-01 -3.46533764e-01 -3.91238111e-01 -3.20571189e-01\n",
      " -2.16951850e-01 -8.90745191e-02  1.02571286e-01  1.54245170e-01\n",
      "  4.89177040e-02  1.23377127e-02  9.00304483e-02  2.27608112e-01\n",
      "  3.31118337e-01  3.83140486e-01  4.29783271e-01  3.88477615e-01\n",
      "  3.04638887e-01  2.33256556e-01  1.27787339e-01  9.75866504e-02\n",
      "  1.07413052e-01  5.27193031e-02  1.00461924e-02 -2.53550265e-02\n",
      " -5.20957776e-02 -4.59234276e-02 -3.31893723e-02  4.83642808e-03\n",
      "  3.23931361e-02  3.68979721e-02  4.22826410e-02  3.29331056e-02\n",
      "  3.96374947e-02  4.77820695e-02  2.70129711e-02  1.08400227e-02\n",
      " -5.72545414e-03 -3.03500277e-02 -4.06373498e-02 -4.00499540e-02\n",
      " -4.21587014e-02 -4.27064656e-02 -4.01792577e-02 -3.59955937e-02\n",
      " -2.68672685e-02 -2.34838193e-02 -2.46270886e-02 -2.81082065e-02\n",
      " -3.65238330e-02 -3.91798271e-02 -4.46301852e-02 -4.81170808e-02\n",
      " -4.66103472e-02 -5.04064234e-02 -4.46779052e-02 -4.09772206e-02\n",
      " -4.29115837e-02 -3.97128660e-02 -4.34250277e-02 -4.33987278e-02\n",
      " -4.26534901e-02 -4.53903578e-02 -4.11334164e-02 -4.06943062e-02\n",
      " -3.85535730e-02 -3.47947436e-02 -3.62180171e-02 -3.44964366e-02\n",
      " -3.34523955e-02 -3.21109293e-02 -2.94014015e-02 -2.76413081e-02\n",
      " -2.48044074e-02 -2.37877655e-02 -2.25504584e-02 -2.07847659e-02\n",
      " -1.92861057e-02 -1.71183771e-02 -1.55353807e-02 -1.38659044e-02\n",
      " -1.27596618e-02 -1.11512018e-02 -9.63881993e-03 -8.70273770e-03\n",
      " -7.05635161e-03 -6.43114772e-03 -5.39941016e-03 -4.23111343e-03\n",
      " -3.58761302e-03 -2.52402462e-03 -2.12286108e-03 -1.41506841e-03\n",
      " -8.26550782e-04 -6.18685454e-04 -2.03187188e-04 -9.11642867e-05\n",
      " -3.18955136e-06]\n"
     ]
    }
   ],
   "source": [
    "print(f\"objective = {val:.2e}\")\n",
    "print(f\"gradient = {np.nan_to_num(grad)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6613a956-3263-4904-b520-10722f12d83e",
   "metadata": {},
   "source": [
    "Now we can run `optax`'s Adam optimization loop with this `value_and_grad()` function. See tutorial 3 for more details on the implementation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "6d93407b-bb18-4b17-a073-c97b980c810b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 1\n",
      "\tJ = 7.2186e-01\n",
      "\tgrad_norm = 1.2149e+00\n",
      "step = 2\n",
      "\tJ = 7.5444e-01\n",
      "\tgrad_norm = 2.6780e+00\n",
      "step = 3\n",
      "\tJ = 7.9946e-01\n",
      "\tgrad_norm = 3.8562e+00\n",
      "step = 4\n",
      "\tJ = 8.3257e-01\n",
      "\tgrad_norm = 3.1312e+00\n",
      "step = 5\n",
      "\tJ = 8.6154e-01\n",
      "\tgrad_norm = 3.3225e+00\n",
      "step = 6\n",
      "\tJ = 8.9307e-01\n",
      "\tgrad_norm = 1.8977e+00\n",
      "step = 7\n",
      "\tJ = 8.9838e-01\n",
      "\tgrad_norm = 4.0921e+00\n",
      "step = 8\n",
      "\tJ = 9.0670e-01\n",
      "\tgrad_norm = 4.2156e+00\n",
      "step = 9\n",
      "\tJ = 9.1752e-01\n",
      "\tgrad_norm = 3.5482e+00\n",
      "step = 10\n",
      "\tJ = 9.3038e-01\n",
      "\tgrad_norm = 3.1259e+00\n",
      "step = 11\n",
      "\tJ = 9.3264e-01\n",
      "\tgrad_norm = 4.1750e+00\n",
      "step = 12\n",
      "\tJ = 9.3667e-01\n",
      "\tgrad_norm = 3.9546e+00\n",
      "step = 13\n",
      "\tJ = 9.4514e-01\n",
      "\tgrad_norm = 3.9537e+00\n",
      "step = 14\n",
      "\tJ = 9.5209e-01\n",
      "\tgrad_norm = 4.1436e+00\n",
      "step = 15\n",
      "\tJ = 9.5717e-01\n",
      "\tgrad_norm = 3.7688e+00\n",
      "step = 16\n",
      "\tJ = 9.5876e-01\n",
      "\tgrad_norm = 3.6146e+00\n",
      "step = 17\n",
      "\tJ = 9.6447e-01\n",
      "\tgrad_norm = 3.2351e+00\n",
      "step = 18\n",
      "\tJ = 9.7089e-01\n",
      "\tgrad_norm = 3.0518e+00\n",
      "step = 19\n",
      "\tJ = 9.7178e-01\n",
      "\tgrad_norm = 2.6888e+00\n",
      "step = 20\n",
      "\tJ = 9.7222e-01\n",
      "\tgrad_norm = 3.2244e+00\n",
      "step = 21\n",
      "\tJ = 9.7463e-01\n",
      "\tgrad_norm = 2.9934e+00\n",
      "step = 22\n",
      "\tJ = 9.7805e-01\n",
      "\tgrad_norm = 2.3418e+00\n",
      "step = 23\n",
      "\tJ = 9.8133e-01\n",
      "\tgrad_norm = 1.6570e+00\n",
      "step = 24\n",
      "\tJ = 9.8017e-01\n",
      "\tgrad_norm = 2.3101e+00\n",
      "step = 25\n",
      "\tJ = 9.7996e-01\n",
      "\tgrad_norm = 2.3219e+00\n",
      "step = 26\n",
      "\tJ = 9.8415e-01\n",
      "\tgrad_norm = 1.2747e+00\n",
      "step = 27\n",
      "\tJ = 9.8461e-01\n",
      "\tgrad_norm = 1.6170e+00\n",
      "step = 28\n",
      "\tJ = 9.8584e-01\n",
      "\tgrad_norm = 1.5162e+00\n",
      "step = 29\n",
      "\tJ = 9.8666e-01\n",
      "\tgrad_norm = 1.7337e+00\n",
      "step = 30\n",
      "\tJ = 9.8816e-01\n",
      "\tgrad_norm = 1.4281e+00\n",
      "step = 31\n",
      "\tJ = 9.8957e-01\n",
      "\tgrad_norm = 9.5692e-01\n",
      "step = 32\n",
      "\tJ = 9.9069e-01\n",
      "\tgrad_norm = 1.0903e+00\n",
      "step = 33\n",
      "\tJ = 9.9115e-01\n",
      "\tgrad_norm = 1.1717e+00\n",
      "step = 34\n",
      "\tJ = 9.9183e-01\n",
      "\tgrad_norm = 9.4896e-01\n",
      "step = 35\n",
      "\tJ = 9.9224e-01\n",
      "\tgrad_norm = 1.0512e+00\n",
      "step = 36\n",
      "\tJ = 9.9278e-01\n",
      "\tgrad_norm = 9.8754e-01\n",
      "step = 37\n",
      "\tJ = 9.9382e-01\n",
      "\tgrad_norm = 5.9541e-01\n",
      "step = 38\n",
      "\tJ = 9.9427e-01\n",
      "\tgrad_norm = 7.0872e-01\n",
      "step = 39\n",
      "\tJ = 9.9468e-01\n",
      "\tgrad_norm = 6.0102e-01\n",
      "step = 40\n",
      "\tJ = 9.9461e-01\n",
      "\tgrad_norm = 8.0735e-01\n",
      "step = 41\n",
      "\tJ = 9.9503e-01\n",
      "\tgrad_norm = 5.3409e-01\n",
      "step = 42\n",
      "\tJ = 9.9521e-01\n",
      "\tgrad_norm = 4.1366e-01\n",
      "step = 43\n",
      "\tJ = 9.9518e-01\n",
      "\tgrad_norm = 4.9884e-01\n",
      "step = 44\n",
      "\tJ = 9.9528e-01\n",
      "\tgrad_norm = 5.4485e-01\n",
      "step = 45\n",
      "\tJ = 9.9566e-01\n",
      "\tgrad_norm = 3.8565e-01\n",
      "step = 46\n",
      "\tJ = 9.9584e-01\n",
      "\tgrad_norm = 4.1186e-01\n",
      "step = 47\n",
      "\tJ = 9.9609e-01\n",
      "\tgrad_norm = 3.6427e-01\n",
      "step = 48\n",
      "\tJ = 9.9633e-01\n",
      "\tgrad_norm = 3.3885e-01\n",
      "step = 49\n",
      "\tJ = 9.9660e-01\n",
      "\tgrad_norm = 2.8181e-01\n",
      "step = 50\n",
      "\tJ = 9.9685e-01\n",
      "\tgrad_norm = 2.0779e-01\n"
     ]
    }
   ],
   "source": [
    "import optax\n",
    "\n",
    "# turn off warnings to reduce verbosity\n",
    "# td.config.logging_level = \"ERROR\"\n",
    "\n",
    "# hyperparameters\n",
    "num_steps = 50\n",
    "learning_rate = 0.0075\n",
    "\n",
    "# initialize adam optimizer with starting parameters\n",
    "params = np.array(params0).copy()\n",
    "optimizer = optax.adam(learning_rate=learning_rate)\n",
    "opt_state = optimizer.init(params)\n",
    "\n",
    "# store history\n",
    "objective_history = []\n",
    "param_history = [params]\n",
    "\n",
    "for i in range(num_steps):\n",
    "    # compute gradient and current objective funciton value\n",
    "    value, gradient = grad_fn(params, verbose=False)\n",
    "\n",
    "    # convert nan to 0 (infinite radius of curvature) and multiply all by -1 to maximize obj_fn.\n",
    "\n",
    "    # outputs\n",
    "    print(f\"step = {i + 1}\")\n",
    "    print(f\"\\tJ = {value:.4e}\")\n",
    "    print(f\"\\tgrad_norm = {np.linalg.norm(gradient):.4e}\")\n",
    "\n",
    "    # compute and apply updates to the optimizer based on gradient\n",
    "    updates, opt_state = optimizer.update(-gradient, opt_state, params)\n",
    "    params[:] = optax.apply_updates(params, updates)\n",
    "\n",
    "    # save history\n",
    "    objective_history.append(value)\n",
    "    param_history.append(params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "307fac85-849f-46e8-bff5-8eb326e51df5",
   "metadata": {},
   "outputs": [],
   "source": [
    "params_best = param_history[-1]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f69997e-65ea-417d-ab63-c0028e169734",
   "metadata": {},
   "source": [
    "We see that our objective has increased steadily from a transmission of 56% to about 95%!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "4dfdc602-8f1d-455d-9fd9-a3b09bca3554",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.plot(objective_history)\n",
    "plt.xlabel(\"iteration number\")\n",
    "plt.ylabel(\"objective function\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b39dc94f-4695-4d1f-b0e3-afdacbd9ecc7",
   "metadata": {},
   "source": [
    "Our final device displays smooth features and no sharp corners. Without our penalty this would have not been the case!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "bdfc8ca2-95f5-430e-9ac4-6e029a953562",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_best = make_sim_params(param_history[-1], include_field_mnt=True)\n",
    "ax = sim_best.plot(z=0.01)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "841a07a1-0a3b-47ce-b08c-a82495c1f04d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:14:03 EST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'taper final'</span> with task_id                            \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-7e386360-0696-4060-b708-b7b28c48cd38'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:14:03 EST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'taper final'\u001b[0m with task_id                            \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-7e386360-0696-4060-b708-b7b28c48cd38'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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-7e386360-0696-4060-b708-b7b28c48cd38\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-7e386360-069</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-7e386360-0696-4060-b708-b7b28c48cd38\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">6-4060-b708-b7b28c48cd38'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=480421;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7e386360-0696-4060-b708-b7b28c48cd38\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=186367;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7e386360-0696-4060-b708-b7b28c48cd38\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=480421;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7e386360-0696-4060-b708-b7b28c48cd38\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=781373;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7e386360-0696-4060-b708-b7b28c48cd38\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=480421;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7e386360-0696-4060-b708-b7b28c48cd38\u001b\\\u001b[32m-7e386360-069\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=480421;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7e386360-0696-4060-b708-b7b28c48cd38\u001b\\\u001b[32m6-4060-b708-b7b28c48cd38'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "525d69c855fe417394865bc6de31b249",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:14:05 EST </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:14:05 EST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:14:13 EST </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:14:13 EST\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:14:15 EST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>the billed FlexCredit cost after a simulation run.                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:14:15 EST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get\n",
       "\u001b[2;36m             \u001b[0mthe billed FlexCredit cost after a simulation run.                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "06f142eb18854e05b5375b601ed8860c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:14:20 EST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>%, exiting.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:14:20 EST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m44\u001b[0m%, exiting.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:14:21 EST </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:14:21 EST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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 simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-7e386360-0696-4060-b708-b7b28c48cd38\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-7e386360-069</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-7e386360-0696-4060-b708-b7b28c48cd38\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">6-4060-b708-b7b28c48cd38'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=214843;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7e386360-0696-4060-b708-b7b28c48cd38\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=883230;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7e386360-0696-4060-b708-b7b28c48cd38\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=214843;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7e386360-0696-4060-b708-b7b28c48cd38\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=670494;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7e386360-0696-4060-b708-b7b28c48cd38\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=214843;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7e386360-0696-4060-b708-b7b28c48cd38\u001b\\\u001b[4;34m-7e386360-069\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=214843;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7e386360-0696-4060-b708-b7b28c48cd38\u001b\\\u001b[4;34m6-4060-b708-b7b28c48cd38'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "model_id": "959e0bba945545df83811ed98b77e5f8",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:14:25 EST </span>loading simulation from simulation_data.hdf5                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:14:25 EST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data_best = td.web.run(sim_best, task_name=\"taper final\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85af7a2f-00a1-4d64-8cf3-7f34b56e5e4e",
   "metadata": {},
   "source": [
    "Comparing the field patterns, we see that the optimized device gives a much more uniform field profile at the output waveguide, as desired. One can further check that this device and field pattern matches the referenced paper quite nicely!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "969473fb-e7ef-457d-8d65-f55a35e1dfe4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x700 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, tight_layout=True, figsize=(11, 7))\n",
    "\n",
    "# plot original\n",
    "sim_data.plot_field(field_monitor_name=\"field\", field_name=\"Ez\", val=\"real\", ax=ax1)\n",
    "sim_data.plot_field(field_monitor_name=\"field\", field_name=\"E\", val=\"abs\", ax=ax2)\n",
    "\n",
    "# plot optimized\n",
    "sim_data_best.plot_field(\n",
    "    field_monitor_name=\"field\", field_name=\"Ez\", val=\"real\", ax=ax3\n",
    ")\n",
    "sim_data_best.plot_field(field_monitor_name=\"field\", field_name=\"E\", val=\"abs\", ax=ax4)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "f028eb77-cb49-4ca4-8659-e9cd157a8724",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Transmission improved from 72.19% to 99.74%\n"
     ]
    }
   ],
   "source": [
    "transmission_start = float(measure_transmission(sim_data))\n",
    "transmission_end = float(measure_transmission(sim_data_best))\n",
    "print(\n",
    "    f\"Transmission improved from {(transmission_start * 100):.2f}% to {(transmission_end * 100):.2f}%\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "17c8c32c-b539-49e5-a2a0-954ffe61e96a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.011306361176558092\n"
     ]
    }
   ],
   "source": [
    "loss_db = -10 * np.log10(0.9974)\n",
    "print(loss_db)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d2dc97c9-2d62-425d-bcf5-865608353b20",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "45e179fc-efe7-47a5-9c34-289b23895903",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ef4ac39d-8c40-4b20-8587-030a4652ba38",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "145aa1a0-a7ef-4eaa-82e0-8becc3c55201",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "409545b6-c0d6-4e5a-8b63-3d3dbea408fe",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "applications": [
   "Passive photonic integrated circuit components"
  ],
  "description": "This notebook demonstrates how to perform inverse design optimization of a waveguide taper using boundary gradients in Tidy3D FDTD.",
  "feature_image": "./img/adjoint_5.png",
  "features": [
   "Adjoint inverse design",
   "2D simulation"
  ],
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "keywords": "boundary gradients, adjoint optimization, inverse design, Tidy3D, FDTD",
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.9"
  },
  "title": "Inverse Design of a Waveguide Taper in Tidy3D | Flexcompute",
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {
     "02166fa4990b4728b5bef9f75c9c33e3": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
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      "state": {
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       "_model_module_version": "1.0.0",
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       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_ebeb2d08d21a43ceb8d0f4b4db614296",
       "msg_id": "",
       "outputs": [
        {
         "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: #008000; text-decoration-color: #008000\">🚶 </span> <span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Finishing 'adjoint_taper_adj'...</span>\n</pre>\n",
          "text/plain": "\u001b[32m🚶 \u001b[0m \u001b[1;32mFinishing 'adjoint_taper_adj'...\u001b[0m\n"
         },
         "metadata": {},
         "output_type": "display_data"
        }
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     "028c2e27bff24509ae42239106fcdece": {
      "model_module": "@jupyter-widgets/output",
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      "model_name": "OutputModel",
      "state": {
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       "_view_module": "@jupyter-widgets/output",
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       "_view_name": "OutputView",
       "layout": "IPY_MODEL_89b318f0ee6f44ca97b74ea22e361a1f",
       "msg_id": "",
       "outputs": [
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