{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Transient heat analysis of thermo-optic phase-shifters\n",
        "\n",
        "This example demonstrates the usage of the Tidy3D’s steady and unsteady\n",
        "heat analyses to compare the performances of thermo-optic phase-shifters\n",
        "based on TiN metal and N++ doped silicon in the silicon-on-insulator\n",
        "(SOI) platform, based on the paper [Optimization of thermo-optic\n",
        "phase-shifter design and mitigation of thermal crosstalk on the SOI\n",
        "platform](https://opg.optica.org/oe/fulltext.cfm?uri=oe-27-8-10456&id=408126)\n",
        "by M. Jacques, A. Samani, E. El-Fiky, D. Patel, Z. Xing, and D. V.\n",
        "Plant.\n",
        "\n",
        "The two setups compared are:\n",
        "\n",
        "1.  A silicon strip waveguide with a TiN metal heater layer above\n",
        "2.  A silicon rib waveguide with doped silicon strips on either side\n",
        "\n",
        "For each design, we sweep various input heat powers to determine the\n",
        "power needed for a $\\pi$ phase shift ($P_\\pi$) in steady-state analysis.\n",
        "We then compare the times required to reach the steady-state results by\n",
        "running unsteady heat analyses with the required $P_\\pi$ heats. Finally,\n",
        "we use the $P_\\pi$ temperature profiles to optically perturb the\n",
        "structures and calculate the attenuations for both designs. At all\n",
        "stages, we achieve good agreement with the results of Jacques et. al.\n",
        "\n",
        "<img src=\"img/transient_thermooptic.png\" width=\"500\" alt=\"Illustration of the thermo-optic phase shifter\">"
      ],
      "id": "bb0084cc-ad4e-451e-9254-c89098bb74e0"
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Standard python imports\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "# Tidy3D import\n",
        "import tidy3d as td\n",
        "from tidy3d import web"
      ],
      "id": "b7221e98"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Simulation Construction and Heat Input Sweep\n",
        "\n",
        "First we will determine which heat input results in a $\\pi$ shift for\n",
        "the shifter by creating a sweep of simulations, each with different heat\n",
        "inputs, and calculating the resulting phase shift, following from\n",
        "Jacques et. al."
      ],
      "id": "0ac3ce76-8f8b-4299-88f0-b4e94fc431ae"
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {},
      "outputs": [],
      "source": [
        "wvl0 = 1.55\n",
        "freq0 = td.C_0 / wvl0"
      ],
      "id": "0c345b7b"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We define the dimensions and coordinates of the different structures\n",
        "involved in our simulations."
      ],
      "id": "aa015a2b-6696-46d7-827d-dc7118788e37"
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {},
      "outputs": [],
      "source": [
        "wg_width = 0.5\n",
        "wg_height = 0.22\n",
        "\n",
        "slab_height = 0.09\n",
        "wg_buffer = 0.8\n",
        "slab_width = wg_width + 2 * wg_buffer\n",
        "\n",
        "doping_width = 1\n",
        "\n",
        "heater_dist = 2\n",
        "heater_height = wg_height + heater_dist\n",
        "heater_width = 2\n",
        "heater_thickness = 0.2\n",
        "\n",
        "air_height = 2.5\n",
        "\n",
        "box_thickness = 2\n",
        "\n",
        "length = 320\n",
        "\n",
        "sim_size = (40, 0, 18)"
      ],
      "id": "21809259"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We define the geometries of the involved structures."
      ],
      "id": "5a2bb969-59a9-40e0-a135-36167010b360"
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {},
      "outputs": [],
      "source": [
        "wg_geo = td.Box(center=(0, 0, wg_height / 2), size=(wg_width, length, wg_height))\n",
        "heater_geo = td.Box(\n",
        "    center=(0, 0, heater_height + heater_thickness / 2),\n",
        "    size=(heater_width, length, heater_thickness),\n",
        ")\n",
        "\n",
        "rib_geo = td.Box(center=(0, 0, slab_height / 2), size=(slab_width, length, slab_height))\n",
        "dope_L_geo = td.Box(\n",
        "    center=((wg_width + doping_width) / 2 + wg_buffer, 0, slab_height / 2),\n",
        "    size=(doping_width, length, slab_height),\n",
        ")\n",
        "dope_R_geo = td.Box(\n",
        "    center=(-(wg_width + doping_width) / 2 - wg_buffer, 0, slab_height / 2),\n",
        "    size=(doping_width, length, slab_height),\n",
        ")\n",
        "\n",
        "air_geo = td.Box.from_bounds(\n",
        "    rmin=(-sim_size[0] / 2, -length / 2, air_height),\n",
        "    rmax=(sim_size[0] / 2, length / 2, air_height + length),\n",
        ")\n",
        "\n",
        "box_geo = td.Box.from_bounds(\n",
        "    rmin=(-sim_size[0] / 2, -length / 2, -box_thickness), rmax=(sim_size[0] / 2, length / 2, 0)\n",
        ")\n",
        "substrate_geo = td.Box.from_bounds(\n",
        "    rmin=(-sim_size[0] / 2, -length / 2, -length),\n",
        "    rmax=(sim_size[0] / 2, length / 2, -box_thickness),\n",
        ")"
      ],
      "id": "8836c910"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We have geometries that extend exactly to the simulation boundaries, but\n",
        "since we will only be running heat simulations and mode solving, this\n",
        "will not cause any problems. Thus we will suppress warnings."
      ],
      "id": "e2ada3ac-5b1a-450d-88ea-6af419518f7d"
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {},
      "outputs": [],
      "source": [
        "td.config.logging.level = \"ERROR\""
      ],
      "id": "088b3f82"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Using the material data provided in Table 3 of Jacques et. al., we\n",
        "define the materials as Tidy3D\n",
        "[`MultiPhysicsMediums`](https://docs.flexcompute.com/projects/tidy3d/en/v2.9.0/api/_autosummary/tidy3d.components.material.multi_physics.MultiPhysicsMedium.html#tidy3d.components.material.multi_physics.MultiPhysicsMedium).\n",
        "In these objects, we can input heat, charge, and optical properties. Our\n",
        "heat properties are all Tidy3D\n",
        "[`SolidSpec`](https://docs.flexcompute.com/projects/tidy3d/en/v2.9.0/api/_autosummary/tidy3d.SolidSpec.html#tidy3d.SolidSpec)\n",
        "specifications, and our optical properties are instances of Tidy3D’s\n",
        "[`PerturbationMedium`](https://docs.flexcompute.com/projects/tidy3d/en/v2.9.0/api/_autosummary/tidy3d.PerturbationMedium.html#tidy3d.PerturbationMedium)\n",
        "using the provided thermo-optic coefficients. Given temperature data,\n",
        "these mediums will have their optical properties changed by the\n",
        "perturbations specified in the `PerturbationMedium`."
      ],
      "id": "33a79bcc-a10f-4541-ae26-9222581228e6"
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {},
      "outputs": [],
      "source": [
        "ref_temp = 300\n",
        "Si_dndT = 1.8e-4\n",
        "\n",
        "Si_perturb_undoped = td.PerturbationMedium(\n",
        "    permittivity=3.476**2,\n",
        "    perturbation_spec=td.IndexPerturbation(\n",
        "        delta_n=td.ParameterPerturbation(\n",
        "            heat=td.LinearHeatPerturbation(coeff=Si_dndT, temperature_ref=ref_temp)\n",
        "        ),\n",
        "        freq=freq0,\n",
        "    ),\n",
        ")\n",
        "\n",
        "n_doped, k_doped = 3.072, 0.137\n",
        "Si_perturb_doped = Si_perturb_undoped.updated_copy(\n",
        "    permittivity=n_doped**2 - k_doped**2,\n",
        "    conductivity=2 * n_doped * k_doped * 2 * np.pi * freq0 * td.EPSILON_0,\n",
        ")\n",
        "\n",
        "\n",
        "SiO2_perturb = td.PerturbationMedium(\n",
        "    permittivity=1.55**2,\n",
        "    perturbation_spec=td.IndexPerturbation(\n",
        "        delta_n=td.ParameterPerturbation(\n",
        "            heat=td.LinearHeatPerturbation(coeff=1e-5, temperature_ref=ref_temp)\n",
        "        ),\n",
        "        freq=freq0,\n",
        "    ),\n",
        ")\n",
        "\n",
        "\n",
        "Si_bulk = td.MultiPhysicsMedium(\n",
        "    name=\"Si bulk\",\n",
        "    optical=Si_perturb_undoped,\n",
        "    heat=td.SolidSpec(conductivity=148e-6, capacity=711, density=2330e-18),\n",
        ")\n",
        "\n",
        "Si_wg = td.MultiPhysicsMedium(\n",
        "    name=\"Si wg\",\n",
        "    optical=Si_perturb_undoped,\n",
        "    heat=td.SolidSpec(conductivity=90e-6, capacity=711, density=2330e-18),\n",
        ")\n",
        "\n",
        "Si_slab = td.MultiPhysicsMedium(\n",
        "    name=\"Si slab\",\n",
        "    optical=Si_perturb_undoped,\n",
        "    heat=td.SolidSpec(conductivity=55e-6, capacity=711, density=2330e-18),\n",
        ")\n",
        "\n",
        "N_Si = td.MultiPhysicsMedium(\n",
        "    name=\"Si doped\",\n",
        "    optical=Si_perturb_doped,\n",
        "    heat=td.SolidSpec(conductivity=25e-6, capacity=711, density=2330e-18),\n",
        ")\n",
        "\n",
        "SiO2 = td.MultiPhysicsMedium(\n",
        "    name=\"SiO2\",\n",
        "    optical=SiO2_perturb,\n",
        "    heat=td.SolidSpec(conductivity=1.38e-6, capacity=709, density=2203e-18),\n",
        ")\n",
        "\n",
        "TiN = td.MultiPhysicsMedium(\n",
        "    name=\"TiN\", heat=td.SolidSpec(conductivity=28e-6, capacity=598, density=5240e-18)\n",
        ")\n",
        "\n",
        "air_medium = td.MultiPhysicsMedium(\n",
        "    name=\"air\",\n",
        "    heat=td.FluidSpec(thermal_conductivity=0.026e-6, specific_heat=1006, density=1.177e-18),\n",
        ")"
      ],
      "id": "e2f673ae"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We put the geometries and mediums together in Tidy3D `Structure`\n",
        "objects."
      ],
      "id": "def102de-7bca-47de-8ec5-5ae709b63869"
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {},
      "outputs": [],
      "source": [
        "wg = td.Structure(geometry=wg_geo, medium=Si_wg)\n",
        "heater = td.Structure(geometry=heater_geo, medium=TiN, name=\"heater TiN\")\n",
        "\n",
        "rib = td.Structure(geometry=rib_geo, medium=Si_slab)\n",
        "doped_wgs = td.Structure(geometry=dope_L_geo + dope_R_geo, medium=N_Si, name=\"heater doped\")\n",
        "\n",
        "air = td.Structure(geometry=air_geo, medium=air_medium)\n",
        "\n",
        "box = td.Structure(geometry=box_geo, medium=SiO2)\n",
        "substrate = td.Structure(geometry=substrate_geo, medium=Si_bulk)"
      ],
      "id": "53b489a9"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We add our structures into a\n",
        "[`Scene`](https://docs.flexcompute.com/projects/tidy3d/en/v2.9.0/api/_autosummary/tidy3d.Scene.html#tidy3d.Scene)\n",
        "object. This is a convenient way to package our structures and allows\n",
        "for easy conversion to HeatCharge simulations."
      ],
      "id": "9846eb34-7a83-4aea-8526-1945bd24ab54"
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {},
      "outputs": [],
      "source": [
        "wg_scene = td.Scene(medium=SiO2, structures=[substrate, box, wg, air, heater])\n",
        "\n",
        "rib_scene = td.Scene(medium=SiO2, structures=[substrate, box, rib, wg, air, doped_wgs])"
      ],
      "id": "e5aad034"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We plot the scenes to make sure our structures are set up correctly."
      ],
      "id": "21cec2c4-a5c7-4ac2-b443-cc45f4138596"
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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zRv3lyxDCpuyZIlSE9PBwAMHz7crAxTP2tG\nRkZaPOavK4Osg2NN1mXJmLmhWeStsZ7S6iuZztRtEx8fb/FxWFcGaUtPT8fSpUsBAF5eXmbdWAHw\nOPw4WLx4sbyJIjExEdeuXcO9e/fg5eWFGTNm4D//+Y9ZuZYcVzUFYkpk2KsNGzbg559/ho+PD5Yt\nW6Z4vqnXUv/55x+Lr8fqylACiwLtzPTp0xEbG4uQkBC8+eabiucXrkouaXrOwss1H1yVyrB3e/bs\nkTN6aVSqVAnvv/8++vbta3auOdum6HZRIoO0TZs2DTExMQCAGTNmoHLlymblaLaNJfudEhmkPB6b\nrU/z/jg4OMDDw8NgW0uObUqsp7T6SqZRqVTIzc0FYP4+pkQGabtz546cVcPLywtz5841K4fH4bKX\nmZmJ3bt3F/t+UFAQ5s2bh9atW5udbez5j6bNgwcPzD6HMpRhj5YuXYpz587B398fH3/8seL53HeJ\niMhWhIeHY+nSpXJmXTc3N8XXYez5jJOTE9zc3JCTk2P2OZGhDHt28eJFnee8I0eOxNtvvw0vLy+z\ncnlO9HgKDw/HokWLAACBgYF47bXXzMoxZ9tkZGQonkHWwTF/6yqtYxuPw7aN114fT1OmTJHFOe++\n+y78/PzMyuFxuOydPn0a33//vdb3nJyc8Morr+C1116Ds7N5JVM8Npedu3fvylqnxYsXw9/fX/F1\naLaNi4tLiRNFlHRstiRDCSwKtCNHjhzBunXr4OjoiLVr15p9gDNEcyEaQIn5hae3LVzApkSGvdu+\nfTvy8/ORl5eH+/fv48iRI9i/fz8mTpyIZcuW4ccffzT4CA59zNk2RbeLEhn0ry+//BLr1q0DALRu\n3Rrvvfee2VmabWPJfqdEBimPx2brM/Z3H7Ds2KbEekqrr2Sawu+xufuYEhn0r8zMTAwaNAgJCQkA\ngJUrVyIwMNCsLB6Hy56fnx927doFoKCANjY2FgcOHMDx48fxwgsvoFOnTti9e7fBRyHpw2Nz2bh2\n7Zos1P3888+tMjMx910iIrIFubm5GD9+PPLz8/HSSy+hQ4cOVlsPYPz5TE5OjsXnRLoy7NnYsWPx\nzDPPACi4AHXx4kVs27YNGzZswObNm7Fy5Uo5e7YpeE70+ImPj8dzzz2HnJwcODs7Y9u2bfKRY6Yy\nZ9torj1o2iuRQdbBMX/rKq1jG4/Dto3XXh8/y5cvx4YNGwAA7dq1w7vvvmtWjhBCPhrW3P1OiQx7\n984772DUqFEQQiAlJQXh4eHYsWMHFi9ejFWrVmHHjh3o06ePybk8NpedyZMnIyUlBe3bt0dYWJhV\n1mFLY/4827YTGRkZmDBhAgDg1VdfRatWrayynsIfPEv6hc3KypL/LlzZrESGvRs0aJDW/6dOnYpj\nx47h2WefxaVLl9C7d29cvHjR5MffFd02hgYaNNum6HZRIoMKfPfdd3L2orp162LPnj0WDaJ4enoi\nLS3Nov1OiQxSHo/N1qd5f1QqFdRqNRwdHfW2teTYpsR6SquvZBrup48XlUqF559/HufPnwcAvP32\n2xgzZozZedy+Zc/DwwNDhgzR+t6MGTOwdetWjB07FseOHcOIESNw8OBBk7M128aYD+wlHZstybAn\narUa48ePR3Z2Nnr37o1hw4ZZZT3cd4mIyBYsWLAAUVFRqFKlCj755BOrrYfnRGWvadOmaNq0qdb3\n5s+fj+effx6//PILJk2ahICAAPTu3dukXJ4TPV5SUlLQq1cvOXvR6tWr0aZNG7PzzNk2rq6uWuPQ\nSmSQdXh6euLhw4cWj/lbmmGrSuvYxuOwbSu6bQoX/hRl7LVXczKowK5du/DGG28AAOrVq4dvv/0W\nTk5OZmVpntaUlZVl9n6nRIa9K/qEmAkTJmDevHmyXmLQoEH4888/ERwcbFIuj81lY+vWrfjhhx/g\n6uqKNWvWwMHBwSrrsaXPtzzj/h83d+5cXLp0SeeyqVOnon379gCA999/Hzdv3kTNmjXNfi66MSpU\nqCD/nZKSYrDto0eP5L+9vb0VzbAFSUlJBu/c/Pbbb03K69SpE+bNm4fp06fjypUr+OGHHzB48GCT\nMopuG0OzcWi2TdHtokSGLdi7dy+2bNmic1mHDh1ksZ8+hw4dwvDhw5Gfn4/q1avj8OHDqFq1qkV9\nqlChAtLS0iza75TIsAVvv/02bt68qXPZzJkz0aJFi1LtD4/N1lf4/Xn06JHVjm1KrKe0+kqmcXR0\nhJeXF9LT083ex5TIoIJiozFjxuDAgQMAgIkTJ2Lx4sUWZfI4/PgaOXIkTp48idWrV+Pnn39GREQE\nmjVrZlKGZtukpqaWWGxd0rHZkgx7snr1apw6dQqenp748ssvrbaewu+xufudEhlERERFnTp1Cp99\n9pnOZU888QQWLFgAALh06RI+/vhjANabWVdDcz5T0t+7zMxM5OXlAdB/TmRJhi1YvHgxzp07p3NZ\nWFgYevXqZXSWt7c3tm3bhsDAQGRkZGDx4sUmFwXy84xysrOzMWrUKL3LN23aZPAm+oyMDPTp0wcX\nL14EACxZsgQvvfSSRX0yZ9uUNOZvToYtOHToENasWaNzWcuWLc2eacoSFSpUQGxsrMVj/pZm2KrS\nOrbxOGzbim6b8uXL621r7HHYnAwCDh48iFGjRkGtVqNmzZo4fPiwxY8lrVChArKysiw+DluaQdqq\nV6+OrVu3omnTpsjNzcXnn38un8xnLB6bS19SUhKmTp0KoOCx3k888YTV1qXZNmq1GmlpaRYdmy3J\nUAKLAv/HHT9+HMePH9e5bODAgbIo8M8//wQAeHl54cUXX9TZ/t69ewCAGzduyFk0evToYdIjBerW\nrQtHR0eo1WrExMQYbFt4eb169RTNsAWZmZnYvXu3opn9+/fH9OnTAQDnzp0zuSgwKChI/jsmJgZ1\n6tTR2/b27dsAim8XJTJswZUrV/RuX3d3d4OvPXnyJAYOHIicnBxUrlwZhw8fNvg+GisoKAh37tyx\naL9TIsMWHDp0CBERETqXjRs3rnQ7g+L7nSGa5U5OTlq/V0pk2LKi74++Cy1qtVreyW3O774S6ymt\nvpLpgoKCEBERYfFx2NIMeyaEwMSJE7Fjxw4ABQVjq1atsjjXnGNoxYoV4efnp2gG6da/f3+sXr0a\nQME5sqlFgZptk5eXh7t376JmzZo62yUnJyMtLQ2A/mOzJRn2RPP51tfXV36+Keqvv/4CUPC5SvP5\nNiQkBHPmzDF6Pe7u7qhRowbi4uLMPq4qkUFERFRUbGys3nGltm3byn9HRkZCpVLBxcUFu3fv1vma\na9euyX+/88478jOiqTckBwUF4eTJk7h37x5yc3P1zlBT0ucZSzNswenTp/H999/rXNapUyeT8/z8\n/NC2bVv88ssveosNDalevTo8PT2RmZlp9vmMEhm2IC8vz+CY/1dffaW3KDA7Oxv9+/fHmTNnAADz\n5s3DW2+9ZXGfin7WbN68ud62mm1T0liTORm2IDo6Wu/2zc7OLuXeFAgKCkJUVJS81qJPScdmSzNs\nVVBQEBwcHCCEsOqxTYn1lFZfyXRFj6EBAQF62xp77dWcDHt3/PhxPPfcc8jNzYW/vz+OHDmCwMBA\ni3ODgoJw7949i8f8Lc2g4po0aYK6devixo0bZp0jmzNe7+LiovV7pUSGPbl9+zYePnwIoGB8uOiT\ngYB/a56AgkeB7927V/67evXqRq+r6LZp0qSJznaa8Xyg5GOzORlKYFHg/7j58+cjMTFR57Knn366\n2PeuXLmCK1euGMxMTk6WH1wqVapkUn88PDwQFBSE69ev48KFCwbbai7kVKtWTetipRIZtsDPzw+7\ndu1SNLNwZXHhZ9QbKyQkRP77woULegehYmJi5AG56CMrlMiwBYMGDdJ7UDf0hzw8PBx9+/ZFZmYm\nfH19cfjwYcWq4ENCQnD8+HHExcUhISEBVapU0dlOs98BurevpRm2YMmSJXrv6GjZsmXpdgZA1apV\nUblyZSQmJhp9XG3QoIHW4LsSGbas6LEtNDRUZzvNBRnAvN99JdZTWn0l04WEhCAiIgJXr15FZmam\n3gsBJR2HLc2wZ1OnTsX69esBAIMHD8bGjRsNzthmrAYNGsDNzQ05OTklHkM1y4t+QFQig3RT+hxZ\nX0FfSfuupRn26M6dO7KAXR+VSiU/35Z0x60uISEhiIuLQ0REBIQQeh9Jodk2Tk5OaNy4seIZRERE\nhbVr107vuKGu8dzCfw8N+fXXX83uk+Z8Rq1WIyIiAk899ZTOdsacE1mSYQveeecdvbPJGSq2MkRz\nzqv5nG8KBwcHBAcHIzw83OgxIS8vL60bRZXIsAUeHh4Gx/z1PS5MpVJh8ODBch995513MHfuXEX6\nVPSzyMCBA3W2S0lJkU9GKenzjDkZtqBHjx56t2+1atVKuTcFQkJC8P333yM9PR3Xr19H/fr1dbYr\n6dhsaYat8vLyQu3atXHz5k2jj20BAQFaM0OV1npKq69kuqLH0Hbt2ulsFx0dLWeSKuk4bE6GPTt7\n9iz69euHrKws+Pn54fDhw2jQoIEi2SEhITh16hRu376NpKQk+Pr66mxX0nHY0gzSTXOObM6YcM2a\nNVGxYkUkJycbfVxt1KgRnJ3/LdFSIsNe/fjjjyW2CQ8PR3h4OABg4cKFJhUFFj2u6rvWEhERgfz8\nfAAlH5vNyVCEILtw7NgxsWvXLoNfVatWFQBE3bp15ff+/PNPk9c1ZcoUAUA4OTmJuLg4nW0ePHgg\nXF1dBQDx0ksvWSWDijt+/LgAIACIJUuWmPz6/Px8UaVKFQFAdOvWTW+7VatWyfUcPXpU8Qx7dfHi\nReHr6ysACG9vbxEeHq5o/oEDB+R7/vXXX+tt17ZtWwFA1KxZU6jVasUzSIgVK1bI9/HMmTOKZI4Z\nM0YAEB4eHiI5OVlnm5iYGOHg4CAAiLfeessqGbYqKytLlCtXTgAQQ4YM0dtu0aJFctteuHChTNZT\nWn21ddevX5fvz9y5cxXJ3LZtm8zcu3ev3nbBwcECgAgODrZKhr1699135XvXr18/kZubq2h+nz59\nBADh5+cncnJydLa5cOGC7MOiRYuskkHFrV+/3qj9Rp/ExETh5OQkAIiXX35Zb7u33npLruf27duK\nZ9iT8+fPl/j5NjQ0VAAQnp6e8nu//fabyetavny5fM9Pnjyps01eXp6oUaOGACA6duxolQwiIiJz\nxMbGlvg3U/NZH4D4+OOP5fdNdfnyZZkzb948ve1GjhwpAAh3d3eRlpameAbp1rRpUwFA1K5d26zX\nz5kzR26bK1eu6GyTkZEhvL29BQAxePBgq2TYo7y8PDFkyBD53k2ZMkXxdQQFBQkAomXLlnrbbN++\nXfbhu+++s0qGvVOpVPL9GTt2rCKZp0+flpmff/653nZ9+/YVAISPj0+x8RAlMmzZK6+8IgAIZ2dn\nce/ePZ1tEhIShIuLiwAgJk2aVGbrKa2+2rquXbsKAMLf31+RPJVKJfz8/AQA0atXL73tCl83OnHi\nhOIZ9urChQvCx8dHHr/++OMPRfN/+OEH+Z5v2bJFb7tWrVrpPVdTIoOKy83NleedhmoWDBkxYoQc\nf3z06JHONjdu3JDXTd955x2rZNiLlJSUEj/fFr7OM2XKFPn91NRUk9aVkZEhPDw8BAAxbNgwve0W\nLFgg1xcZGal4hhJYFEiS5kNbixYtLMo5f/68/KXVVxBSeADg+PHjVskgbWq1Wjz77LMWH1CmTZsm\nAAgHBwedRaM5OTniiSeekCcdeXl5VsmwN1euXJHFlF5eXuLUqVOKryMnJ0deiGzWrJlQqVTF2hQe\nAJg5c6ZVMsg6RYGHDx+WmQsWLNDZRlOQ7eDgoLMITIkMWzZu3DgBQLi4uIhr164VW56eni5q1aol\nAIimTZuW6XpKq6+2zBpFgampqaJixYoCgGjXrp3OounCxdcff/yxVTLsUeEPXd27dxfZ2dmKr2PH\njh1yHatWrdLZRjMA4OLiIm7evGmVDNKWnZ0tmjVrJgAINzc3kZKSYlZOv379BABRvnx5cffu3WLL\nHzx4IG/u6Ny5s9Uy6F89e/YUAESFChUsyomPj5eDNwMGDNDZZtOmTXLfXL9+vVUyiIiIrOWTTz6R\nf4MsvQG1ZcuWAoCoVq2azgtaN27cEO7u7gKAGD58uNUySNvBgwflNjZ0A4ohV69elTex6LtB/9NP\nP5Xr+f77762SYW/UarUYPXq0fE+sVaAzb948uQ5dN+jn5+eLp556SgAQVapUEZmZmVbJsHfWKApU\nq9WiQYMGAoAICgoSWVlZxdpERkbKfXPy5MlWybBlv//+u9xu+go1Zs2aJduYe21HifWUVl9tndJF\ngUII8dprrwkAwtHRUURERBRbnp2drbUf5ufnWyXD3ly+fFlUrlxZjsf9/vvviq8jOztbTsz05JNP\n6rzm/dtvv8n97v3337dKBhVX+FqsOZMpCaF9nq3vBn1NQbaDg4PO+gwlMuhf+/btk+/n5s2bLcoa\nNWqUACBcXV3FP//8U2x5WlqaqFmzpgAgmjdvbrUMS7EokCRjigJv374tBg8eLAYPHqz3QqQQQjz/\n/PMCKJjpr+hsYTt27JB3mfTp08eqGfbizJkzYvXq1TovHgpRMHPXCy+8IA+AQ4cO1dluy5YtcvtG\nRUXpbJOQkCAqVKggAIh69eppFZNkZmbKO3UBiG3btlktw57cunVL/jHw8PAQx44dMytn4sSJYvDg\nwWLixIl62xSeKeell17S+oB/6dIlUbt2bQEUzFCUlJRktQx7Z2pR4N9//y333Y0bN+pt1717d1n0\n8O2332ot++qrr4Sjo6MAIEaMGGHVDFt169YtecG/adOmIiYmRi5LTU0VAwYMkNt1//79OjPWrFkj\nt6W+Yh4l1qNEhr0zpyhw1KhRYvDgweKNN97Q22bp0qUyd9q0aVp3Vp8/f15++K9Zs6bIyMiwWoY9\n+fzzz+X71alTJ7MuTJw7d07uu/pmO1Cr1aJFixZykOnnn3+Wy/Lz87Uuxuqb+UGJDHuyb98+sXnz\nZr3nG5GRkaJjx47yPXvvvfd0tluyZIncvg8fPtTZJiIiQjg7OwsAonXr1uL+/fty2YMHD0Tnzp3l\nwKy+v+1KZNC/jCkKzM3Nldt2zpw5etvNnDlT/p588MEHWoOvx48fl3eUP/HEE3pvaFIig4iIyBqM\nLQqcPXu2/Lup7yJy4ZsJ+/Tpo3XDxZ07d0Tz5s3lmIKuG9SUyrAn8+fPF6dPn9a5TXJycsT69etF\n+fLlBVAw+8itW7eKtXv48KHctoYuiE6YMEFejFyxYoXWTWj79u0Tnp6eAoBo06aNVTPsyeTJk+X+\nMG7cOLOeuPLdd9/J7Xvu3DmdbVJTU4W/v78cK7h48aJclpOTI15++WXZjy+//NJqGfbOnKLAN954\nQwwePFiMGjVKb5vdu3fL3BdeeEGkp6fLZdHR0aJRo0YCKJiMQN+Tu5TIsGWDBg0SQMEMfEULELZu\n3So/6/fv31/n62/evCn30zVr1lhtPUpl2DtTiwI3btwot+/ff/+ts018fLz8e92gQQOtwpGMjAwx\nbNgwuQ/u3LnTahn2JDo6WlSvXl0AEOXKlTN75sSwsDAxePBggwXRa9aske/9xIkTtW5Ij4yMlBM0\nVK5cWe8Ny0pk2IvU1FTxwQcf6CyOFaKgCOujjz6Sx7saNWronH08KipK7ruGZmjUjNm6u7uLPXv2\nyO+r1WqxevVqOcPfmDFjrJpBBYwtCly1apXcvvqeyBMdHS1vSGvWrJmIjY2Vyx49eiRv8gegda1G\n6QxLsSiQJGOKAiMjI7WKffRJSUmRj6XTnHz07dtXzv6mKQZLTEy0aoa92Lx5sxxMqVWrlnjqqadE\nv379RJ8+fUTjxo3lHwoAokuXLlof2Ap75513ZDtDj+z95ZdfZFGms7OzaNeunejVq5ecuQSAePXV\nVw32WYkMe9GpUyet33nNHyh9X/pmfdLM4FejRg2D6wsLC5Prq1y5sujdu7do27atLPZyc3MrsTBR\niQx7MnPmTK1tqHncHVAwE1DhZRs2bCj2+hMnTsj2hh7Ze//+fVG3bl3ZNjg4WPTr10/Ur19ffi8k\nJETv9NRKZdiyb7/9Vv6eu7q6io4dO4oePXrIQmgAYvbs2XpfP2nSJNnO0EyLlq5HqQx7snPnTq19\nsVevXvJ9euKJJ7SW6SvG0jy22dAje9VqtbwxAoCoWrWq6NOnj2jVqpX8e+7l5SXOnz9v1Qx7ERkZ\nqXWe1LNnzxL/zha+sKHx3XffyQxDj+y9efOmLMoEIEJDQ0Xfvn1FYGCg/F7btm113nWvZIa9mDt3\nrjzXrFOnjmjdurXo37+/6NWrl/zso/kaPXq03kKswYMHy3aFP7QXtW7dOtnOw8NDdO3aVXTr1k3u\n+4DhRy0plUEFjCkKzMrKku+roUf25ubmyhsjAIiAgADRt29f8eSTT8rv+fn56X0MnlIZRERE1mBs\nUWDbtm1lO11PhtBYuHChbOft7S169OghOnXqJNzc3ARQcINDSTcBK5FhLzSf4X18fESTJk1E165d\nxYABA0S7du1kYYDmfTx8+LDOjNjYWNnO0CN7MzIyxNNPPy3b1q1bV/Tt21c+mhgoKAYzdM6sRIa9\n+Pbbb+V74uTkJAYNGlTi51VdNzEtWrRI5hh6ZO/p06flDaSOjo6idevWonfv3vLpNZrPTYYokWFP\njh49qrX9nnvuOfk+BQYGai3TNzOq5hpauXLlDK5r+vTpMrtixYqiZ8+eokOHDrIgwtnZWezbt8/q\nGbYqKSlJ69plw4YNRd++fWWxpOZ7+m40vHDhgmxnaEZQS9ejVIY9SU5OLnas1RzT3Nzcii3TNeHK\nW2+9Jd9bQ4VnBw4c0Nqf2rdvL3r27CmfCgMU3ABuiBIZ9qJdu3byPalfv36Jf2P13TihKYgPDAw0\nuD7N05uAghlze/fuLdq0aSOv0bi7u5dYmKhEhj1ITEyU71OlSpVEs2bNRI8ePUT//v1Fq1atZIEW\nAFG9enW9M+8dPXpUtjP0yN74+Hg5IQ4A0aRJE9G3b1+t8efQ0FCdhYdKZlABY4sCX3rpJdnO0OyL\nO3fu1LqW2qlTJ9GjRw/56GkAYt68eQb7pESGJVgUSJKSRYFCFFRhT548Wd7dp/lyd3cX48ePN2qG\nMCUy7EF0dLSYMmWKaNiwodb7pPlycHAQLVq0EOvXrzd4N6GxRYFCCPHHH39oDQYWHrQxdCeT0hn2\nQDMjkLFf+h5JZmxRoFqtFl988YVsX/j3qEOHDnrvrFA6w560atXK6O07derUYq83tihQiIK7v8eN\nG6d10qsZOHr11VeNOqFUIsOWnTp1Sj7uqPBXnTp1DN5NJITxRYGWrkfJDHuhKS4y5qthw4Y6M4wp\nChSiYMa3xYsXaw2aAwUD6j169BBXr14tsb9KZNiDM2fOmPQ3FoA4dOhQsRxjiwKFEOLu3bvihRde\nkDdHaL4qVKggZsyYYdSji5XIsAfnz58XYWFhIiAgQOe2dHR0FJ06dRJ79+41mGNsUaAQQvz8889a\nFzQ1X40aNRI//PCDUf1WIoOULQoUoqCob86cOVo3MQEFg+wDBgzQe0ep0hlERERKU7ooUAghvvnm\nG1GvXr1i5zPNmzc3+iZRJTLswbJly0T37t2LjdFovvz8/MSrr75qcOYuY4sChSh4ysubb76pVXAI\nFFzcGj58uNZs19bMsAcbNmww+fOqrs8rxhYFClHwlJcuXbpo3TwHFNxs+Nlnnxk1U6ESGfbClG3s\n5uamM8PYokDN+grfUKj5atWqlTh79qzRfbY0w1Y9evRITJo0qdj1TA8PDxEWFmZw5i5jiwItXY+S\nGfYiPj7epOOwrmurxhYFClEwltWmTZtiuQEBAeKrr74yqs9KZNiDZs2ambRt9Z0jGVsUqFarxfLl\ny0W1atW0ch0cHESnTp30PsFP6Qx7kJOTIz744APRtm1bWSRb9KtmzZpi1qxZBo93xhYFClHwlJcx\nY8bIm5g0X15eXuL111/XO2GT0hmkfFGgEAXX4XXVa9StW1ds377dqH4pkWEuByGEABGAgwcPIj09\nHb6+vujSpYvONqmpqfjll18AAHXq1EGLFi1KzM3IyMDFixfx4MED+Pr6IiQkBOXLlzepb0pk2IvE\nxETcuXMH8fHxUKvV8PX1RePGjeHj41Pia6OionDlyhUAQMeOHVG5cuUSXxMbG4tr164hJycHNWvW\nRNOmTeHg4GBSn5XIsGW//vorkpKSjG5fo0YNtG7dutj3Dxw4gMzMTHh6eqJPnz4l5qjVakRGRuLO\nnTvw8PBAw4YNUaNGDZP6rkSGPTh69CgePnxoVNv69eujWbNmWt97+PAhjh49CgBo2LAhmjZtWmJO\namoqIiMjkZSUhEqVKiEkJATlypUzqd9KZNiyW7du4Z9//oFKpUKtWrUQHBxc4msuXLiA6OhoAED3\n7t1RoUIFq6zHGhm27vLly7h8+bJRbb29vdGjR49i39+7dy/y8vJQoUIFdO/evcSc/Px8RERE4O7d\nu/Dy8kKjRo1QtWpVk/qtRIYtS0pKwq+//mrSazp06IAqVapofe/u3bs4ffo0AKBp06Zo2LBhiTnJ\nycmIiopCSkoK/P390axZM7i5uZnUFyUy7MXdu3cRFxeH+/fvw9HREZUqVUJwcLBRf7d+//133Llz\nBwDQt29feHh4lPiaf/75Bzdu3IAQArVr1zbqd8IaGfbs5MmTuHfvHlxdXdG/f3+dbdRqNfbs2QMA\nqFy5Mjp27Fhibm5uLiIiInD//n14e3ujcePGqFSpkkl9UyKDiIhIKdeuXcPFixcBAF27dkXFihV1\ntjt27BgePHgAABg8eLBRY3d///03YmJi4OTkhKCgINStW9fk/imRYQ+ys7MRExOD+Ph4PHr0CF5e\nXggMDERQUFCJ2yorKwv79+8HANSsWRPPPPOMUeuLiIhAQkICKlasiCZNmhg1/qx0hi2LiYlBeHi4\nSa/R9Xnl6tWriIyMBAC0adMG1atXLzEnPj4eV65cQWZmJqpXr46QkBA4OTmZ1BclMmydKdvYyckJ\ngwYNKvb9Q4cO4dGjR3B2dsbAgQNLzBFC4NKlS4iNjYWLiwvq16+PwMBAk/qtRIYtS09Px8WLF/Hw\n4UP4+fmhadOmJV7PfPToEQ4dOgQACAoKQvPmza2yHmtk2LqcnBzs27fP6Pa6rq1GRkbi6tWrAIDO\nnTvDz8+vxJzC100DAgLQpEkTi669mpthyw4fPoyUlBSj2+s7R/rxxx+RnZ2NcuXKoXfv3iXmqNVq\nXLx4EXFxcfDw8ECjRo2M+tusdIa9SE9Px+3btxEfH4/09HR4e3ujXr16CAgIKPG1iYmJOH78OACg\nUaNGaNKkSYmvefToEaKiouR102bNmsHT09OkPiuRYc/u3buHkydPAgCefvpp1KpVS2e7P/74Azdv\n3gQA9OjRA97e3iVm37x5E//88w/y8vLMvpaqRIapWBRIREREREREREREREREREREREREZCMcy7oD\nRERERERERERERERERERERERERKQMFgUSERERERERERERERERERERERER2QgWBRIRERERERERERER\nERERERERERHZCBYFEhEREREREREREREREREREREREdkIFgUSERERERERERERERERERERERER2QgW\nBRIRERERERERERERERERERERERHZCBYFEhEREREREREREREREREREREREdkIFgUSERERERERERER\nERERERERERER2QgWBRIRERERERERERERERERERERERHZCBYFEhEREREREREREREREREREREREdkI\nFgUSERERERERERERERERERERERER2QgWBRIRERERERERERERERERERERERHZCBYFEhERERERERER\nEREREREREREREdkIFgUSERERERERERERERERERERERER2QgWBRIRERERERERERERERERERERERHZ\nCBYFEhEREZWREydOICwsDJ9++mlZd8UicXFxCAsLw9SpU5Gfn1/W3SEiIiIiIiIiIiJ6LKlUKrz+\n+uuYMGECEhISyro7Fvn4448RFhaG33//vay7QkRERDqwKJCIiIioDOTn52Py5MlYv349ateuXdbd\nsUiNGjVw5coVLF++HOvWrSvr7hARERERERERERE9lr744gt88cUXiImJQZUqVcq6OxapUaMG1q9f\nj1deeQVqtbqsu0NERERFOAghRFl3goiIiMjerFq1Cq+88gpCQ0Px559/wsHBoay7ZJEjR46gW7du\nqFKlCq5fvw5vb++y7hIRERERERERERHRYyMpKQn16tVDcnIyzpw5g2eeeaasu2QRtVqN4OBgXLly\nBRs2bMC4cePKuktERERUCGcKJCIiIiplWVlZmDt3LgDgvffe+58vCASArl274plnnkFCQgI++eST\nsu4OERERERERERER0WNl0aJFSE5OlmOp/+scHR3x7rvvAgBmz56N3NzcMu4RERERFcaiQCIiIqJS\ntmPHDiQmJsLX1xf9+/cv6+4oZuzYsQCANWvWcACIiIiIiIiIiIiI6P9lZWXhq6++AgC8+OKLZdwb\n5QwZMgTlypVDXFwc9uzZU9bdISIiokJYFEhERERUylatWgUAGDp0KFxdXcu4N8rR/DyJiYnYvXt3\nWXeHiIiIiIiIiIiI6LGwfft2pKSkwMvLCwMHDizr7iimXLlyGDRoEIB/x72JiIjo8eAghBBl3Qki\nIiKispSdnY23334bWVlZ8Pf3x8KFC/U+0veTTz7B1atX4eTkhA8//BB+fn4mrSsyMhIhISEAgKNH\nj6JTp04628XGxmL+/PkAgHfffRf16tXT2e7q1avycb0ffPABqlevLpfl5eXh5ZdfBgCMHj0aHTt2\nhEqlwt69e/Hnn38iNzcXTZo0wfDhw+Hu7q6VGxMTgz179uDmzZvw8vJC165d0bVr1xJ/vn79+mH/\n/v3o0qULjhw5UmJ7IiIiIiIiIiIiorKwZcsWHDt2DADw5ptvonHjxjrbnTt3DmvXrgUAPPvssxgw\nYIDJ62rbti1Onz6NoUOHYseOHXrbLVq0CNHR0WjdujVeeuklve3ef/99xMfHo0uXLhgxYoTWsg0b\nNuDUqVOoVasW5syZA6BgXHrfvn2Ij49HQEAABgwYgIYNG2q9Ljc3F3v27MHFixeRkZGB4OBgvPDC\nC/Dx8TH4s/3444949tlnAQDXrl1D/fr1DbYnIiKi0uFc1h0gIiIiKmvu7u4IDg7G5MmTAQAVK1bE\n9OnTi7XbuXMnZsyYAQB47733TC4IBIDDhw8DAJydnfH000/rbffw4UOsX78eADBu3Di9RYHx8fGy\n3bRp04oVBWqWtWzZEpUrV8azzz6LGzduaGXMmzcPhw4dQoMGDQAUDCh99NFHyMvLk20WLVqEwYMH\nY/v27XBxcdHb7zZt2mD//v04deoUsrOzixUbEhERERERERERET0OunfvjunTp+P+/fs4e/YswsPD\ni41nPnr0CEOHDsWtW7dQp04dfPrppyavJy0tDWfPngVQMH5qyPfff4+zZ88iOzvbYFHgrl27cPXq\nVbi7uxcrCjx+/Dg2btyIZs2aYdasWZg8ebJ8dLHGe++9h48++ghvvfUWAOD8+fMYNGgQ7ty5o9Vu\nzpw5OHDgAJ588km9fSn8Mx0+fJhFgURERI8JPj6YiIiICMDLL7+MIUOGAABmzZqF8PBwreU3b97E\nxIkTARQMcsybN8+s9Rw/fhwA0LRpU3h6eprfYRM9ePAAXbt2hVqtxqxZs7By5Uq8/vrrcHd3x+3b\nt9GnTx+oVCrMnj0bCxcuRO/evfHpp5/i008/Rdu2bQEAu3fvLvHnbt26NQAgJycHZ86csfaPRURE\nRERERERERGQWf39/bN68GQ4ODoiKisK0adOKtZkwYQJu3boFFxcXbN++Hd7e3iav59SpU8jPzwcA\nPPPMM5Z22yTTpk3Dxo0bMXr0aCxfvhyLFi1CcHAw8vLyMH36dOzfvx9///03unTpAjc3N8yePRsr\nV67EK6+8AldXV9y/fx8DBw5EZmam3nX4+vrKG841My8SERFR2eNMgURERET/b926dQgPD0dMTAyG\nDRuGCxcuwNvbGyqVCsOHD0dqaip8fHywbds2ODubdxr1+++/AwBCQ0MV7HnJFi9ejDZt2uC7776D\nh4eH/H7//v3RvXt3REdH4+2338aqVauwa9cuWSAJFAwc9evXDwcOHMDy5cvx3nvv6S1obN68ufz3\nmTNn0LlzZ+v9UEREREREREREREQW6N69O2bMmIGPP/4Ya9asQbdu3eTY6Nq1a7Fr1y4AwMKFC9Gq\nVSuz1qEZEwaAZs2aWd5pI0VHR+PmzZs4ceKEVt+nTp2KVq1aITIyEgsWLICzszM6deqEXbt2wc3N\nTbbr0aMHBg4ciNjYWGzZskXeNK9L8+bNce3aNd4oTkRE9BjhTIFERERE/8/Hxwfbt2+Hs7Mzbty4\ngUmTJiC/LwUAAAwsSURBVAEAZs+eLR/vsG7dOgQGBpqVn5+fj8TERABApUqVlOm0kYQQ2LJli1ZB\nIAB069ZN3p26bNkyjB8/XqsgEAAcHBwwa9YsAEB6ejpOnjypdz0+Pj7y8cLx8fFK/ghERERERERE\nREREilu4cKEcI9XMDHj58mU5c2D37t3x9ttvm52vGSctX768VtGdtaWnp2P+/PnFihk9PDzkY4PP\nnj2LS5cuYdOmTcX6NmDAADRp0gQAcPDgQYPrqly5MgDg3r17SnWfiIiILMSiQCIiIqJCWrdujQ8+\n+AAAsGPHDoSFheGTTz4BAEyaNKlYwZwpHj58CLVaDQDw8/OzvLMm6N+/v95CxMKDQuPHj9fZpmXL\nlnB0LDh1/Pvvvw2uy9fXFwBkASQRERERERERERHR48rZ2Rnbt29HhQoVkJKSguHDh2Po0KHIyspC\nlSpV5COGzaUZJy3tMWFHR0eMGzdO57LCY8LPPfccfHx8dLZ7+umnAZQ8Jqz52VQqFVJSUkzuKxER\nESmPRYFERERERbz77rvo1q0bAGD9+vUQQiA4OBifffaZRbnp6eny3+XKlbMoy1SGHktRuFhQXzs3\nNzeUL18eAEoc1NH8bGlpaSb2koiIiIiIiIiIiKj01a5dG+vWrQNQ8LjfqKgoODg4YNOmTfD397co\nWzMuXNpjwoGBgXqL/YwZEwb+nQHQ2DFhgOPCREREjwsWBRIREREV4eDggC+++ELrexs2bCj26F1T\naWbQA0oeRFGat7e33mXOzs4ACgr/XF1dS2ynUqkMrkvzsxX+eYmIiIiIiIiIiIgeZ88//zw6deok\n///iiy+iZ8+eFudqxkkfxzFhY9sZOyYMcFyYiIjoccGiQCIiIiId5syZo/X///73vxZn+vj4wMXF\nBQCQlJRkcd7jSK1WywEgzV2kRERERERERERERI+7w4cP47fffpP/379/PxISEizO1YyT2uqYMAA8\nfPgQAODh4VHqMyISERGRbiwKJCIiIipi7dq1+OabbwAAISEhAIDVq1djz549FmfXqlULAHDv3j2L\nswAgLy9PkRylJCQkQK1WAyh4PAURERERERERERHR4y4hIQGjR4+GWq1G/fr14e7ujvv372Ps2LEQ\nQliUrRknzcrKQmpqqhLdfezGhTXj3RwTJiIienywKJCIiIiokMuXL2PatGkAgF69euHcuXNo2bIl\nACAsLAyxsbEW5bdv3x4AcP78eaNfY6iA8M6dOxb1R2nnzp2T/9b8rERERERERERERESPKyEExo4d\ni3v37sHDwwN79+7Fp59+CgA4ePAgli5dalF+4XFSY8eFDY0J5+fnK3bTuVLCw8MBcEyYiIjoccKi\nQCIiIqL/l52djaFDhyIrKwtVq1bFxo0b4ebmhu3bt6N8+fJITk7GyJEjkZ+fb/Y6OnbsCAC4fv26\n0Y+LOHXqlN5le/fuNbsv1vD7778DACpUqIDQ0NCy7QwRERERERERERFRCZYuXYqDBw8CAD7//HM0\nbtwYkydPxqBBgwAAs2bNMukm76JatGgBLy8vAMDZs2eNek1ERAQyMjJ0Ljt06JDeZWXh9u3buHv3\nLoB/x7+JiIio7LEokIiIiOj/vfHGG4iKioKDgwM2bdqEKlWqAADq1auHL7/8EgBw4sQJLFiwwOx1\n9OjRA05OTjLLGCtXrsT+/fu1vqdWq/HZZ5/h+++/l99T6tETlvjtt98AAD179oSjI081iYiIiIiI\niIiI6PF1/vx5zJo1CwAwZMgQTJw4US5bv349AgICoFKpMHz4cKSlpZm1DmdnZ3Tv3h3Av+OnJXnw\n4AEmT55crPjv0qVLePnll+X/H6cxYRcXF3Tr1q2Me0NEREQavFJLREREBGDPnj1YvXo1AGDGjBly\nkEZj1KhRGDNmDABg4cKFRg/eFFW9enX069cPALB161ajXlOtWjX069cPoaGhGDZsGIYOHYqgoCC8\n+eabCA0NhYODA4CCxxuHhYUhLy/PrL5ZKiYmBqdPnwYATJo0qUz6QERERERERERERGSMtLQ0DBs2\nDCqVCoGBgVi3bp3W8ooVK2Lr1q1wcnLCP//8g1deecXsdWmKDQ8fPoyEhIQS2wcEBGDz5s2oW7cu\n+vTpg7Fjx6JDhw5o1qwZ4uPjERwcDAD45ptvMHr0aBw+fNjsvllq27ZtAICBAwfC39+/zPpBRERE\n2lgUSERERHbv9u3bCAsLAwC0atVK70yAK1euRP369ZGfn4+RI0ca/fjfoiZPngwA+OGHH5CSklJi\n+xUrVqBbt26IiIjAzp078c033+DWrVvo3r07fvnlFwwZMgQA8Pfff2PLli1Qq9Vm9ctSW7ZsgRAC\nDRo0QOfOncukD0RERERERERERETGePnllxEdHQ1nZ2ds27YNPj4+xdq0b98ec+bMAVAw/rl582az\n1tWzZ0/UrVsXeXl5sojOkA4dOmD58uV49OgRfvrpJ2zatAknTpxAxYoVsXv3bnz22WdwdHRETk4O\ntmzZghs3bpjVL0vdv38fhw4dAgCtGQyJiIio7DmXdQeIiIiIytrdu3exePFiAAWDMy4uLjrbeXl5\nYd++ffKxv3fu3IGvr6/J6+vRoweCg4Nx6dIlbN68Ga+//rrB9r6+vjh06BAuXbqEqKgoAEDTpk3R\nuHFjAMD27dsxduxYZGdno1OnTnB1dQVQ8LgGzd2t7dq105vfp08fVKpUCc7Ohk8NP//8c2RnZ6N5\n8+bFluXn5+Prr78GUPAYZs3shURERERERERERESPm0ePHqFz587o3LkzatWqhTZt2uhtO3v2bAQG\nBkKlUsmxV1M5ODhg2rRpmDJlCtavX4+pU6eWOIb6+uuvY/To0Th58iSSk5NRrVo1tG/fHm5ubgCA\nyMhI/PXXX2jcuDFCQ0Pl68aPH4927drBz89Pb7anp6ccO27btq3edoMGDULt2rXh7u6uc/nGjRuR\nl5eH0NBQdOnSxeDPQ0RERKXLQQghyroTRERERPbm4MGD6N27N2rUqIF//vmn2KDKX3/9JYvvTpw4\nYbCo73GwadMmjB07Fo0bN0ZERESJBYZERERERERERERE9kSlUiE4OBjXr1/HN998g+eff75Ym2ee\neQZnz57FyJEjsWXLljLopfEyMjJQp04dJCYm4siRIywKJCIieszw8cFEREREZaBXr17o2bMn4uLi\nsGbNmrLujkXy8vLkI5eXLl3KgkAiIiIiIiIiIiKiIlxcXOQTa+bNmwe1Wl3GPbLMihUrkJiYiAED\nBrAgkIiI6DHEK7ZEREREZWTVqlU4cuQIKleuXNZdscjDhw/xzjvvoFy5cujVq1dZd4eIiIiIiIiI\niIjosTRw4EBs3rwZ2dnZSE5ONviI38ddgwYNsG7dOvTs2bOsu0JEREQ6sCiQiIiIqIzUqVMHYWFh\nZd0Ni/n7+9vEz0FERERERERERERkbaNGjSrrLijiueeeK+suEBERkQF8fDARERERERERERERERER\nERERERGRjeBMgURERESPoVq1amHdunUAgPr165dxb4iIiIiIiIiIiIjI2mbNmoWEhATUq1evrLtC\nRERE/+MchBCirDtBRERERERERERERERERERERERERJbj44OJiIiIiIiIiIiIiIiIiIiIiIiIbASL\nAomIiIiIiIiIiIiIiIiIiIiIiIhsBIsCiYiIiIiIiIiIiIiIiIiIiIiIiGwEiwKJiIiIiIiIiIiI\niIiIiIiIiIiIbASLAomIiIiIiIiIiIiIiIiIiIiIiIhsBIsCiYiIiIiIiIiIiIiIiIiIiIiIiGwE\niwKJiIiIiIiIiIiIiIiIiIiIiIiIbASLAomIiIiIiIiIiIiIiIiIiIiIiIhsBIsCiYiIiIiIiIiI\niIiIiIiIiIiIiGwEiwKJiIiIiIiIiIiIiIiIiIiIiIiIbASLAomIiIiIiIiIiIiIiIiIiIiIiIhs\nBIsCiYiIiIiIiIiIiIiIiIiIiIiIiGwEiwKJiIiIiIiIiIiIiIiIiIiIiIiIbASLAomIiIiIiIiI\niIiIiIiIiIiIiIhsBIsCiYiIiIiIiIiIiIiIiIiIiIiIiGwEiwKJiIiIiIiIiIiIiIiIiIiIiIiI\nbASLAomIiIiIiIiIiIiIiIiIiIiIiIhsBIsCiYiIiIiIiIiIiIiIiIiIiIiIiGzE/wGLBGzBKYXy\nCwAAAABJRU5ErkJggg==\n"
          }
        }
      ],
      "source": [
        "fig, ax = plt.subplots(1, 2, figsize=(15, 5))\n",
        "\n",
        "wg_scene.plot(y=0, hlim=[-4, 4], vlim=[-3, air_height + 1], ax=ax[0])\n",
        "rib_scene.plot(y=0, hlim=[-4, 4], vlim=[-3, air_height + 1], ax=ax[1])\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "id": "67059e04"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We will measure the temperature in the waveguide by a point temperature\n",
        "monitor located at the center of the waveguides."
      ],
      "id": "97449ab3-6a82-481b-bc73-b36ca50bb425"
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {},
      "outputs": [],
      "source": [
        "temp_mnt_pnt = td.TemperatureMonitor(\n",
        "    center=(0, 0, wg_height / 2),\n",
        "    size=(0, 0, 0),\n",
        "    name=\"temperature\",\n",
        "    unstructured=True,\n",
        ")"
      ],
      "id": "3853807d"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We define boundary and meshing specs for our heat simulations. Jacques\n",
        "et. al. give the bottom simulation boundary a fixed temperature of 300 K\n",
        "and a constant convection of $10 \\frac{W}{m^2}K$ (or\n",
        "$10e-12  \\frac{W}{μm^2}K$) between the silicon dioxide cladding and air."
      ],
      "id": "27d7d27a-ec4f-4a5b-86e9-088db65059c9"
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {},
      "outputs": [],
      "source": [
        "# boundary conditions\n",
        "bc_bottom = td.HeatBoundarySpec(\n",
        "    placement=td.SimulationBoundary(surfaces=[\"z-\"]),\n",
        "    condition=td.TemperatureBC(temperature=ref_temp),\n",
        ")\n",
        "\n",
        "bc_top = td.HeatBoundarySpec(\n",
        "    placement=td.MediumMediumInterface(mediums=[\"air\", \"SiO2\"]),\n",
        "    condition=td.ConvectionBC(ambient_temperature=ref_temp, transfer_coeff=10e-12),  # W/um^2 K\n",
        ")\n",
        "\n",
        "# parameters for meshing\n",
        "dl_min = heater_thickness / 3\n",
        "dl_max = 4 * dl_min\n",
        "\n",
        "grid_spec = td.DistanceUnstructuredGrid(\n",
        "    dl_interface=dl_min,\n",
        "    dl_bulk=dl_max,\n",
        "    distance_interface=3 * dl_min,\n",
        "    distance_bulk=2 * heater_dist,\n",
        ")"
      ],
      "id": "f59400dd"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We can now run a parameter sweep of different heat inputs to determine\n",
        "relationship between the input heat and the phase change along the\n",
        "shifter. We will define functions that take as input the heater input\n",
        "power and output the heat simulations for the strip and rib waveguide\n",
        "structures, allowing us to quickly and methodically define multiple heat\n",
        "simulations corresponding to multiple heat inputs."
      ],
      "id": "d93d3ed4-9352-4f5c-a802-c6c5fe0e1db9"
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {},
      "outputs": [],
      "source": [
        "def make_wg_sim(power):  # input mW\n",
        "    power_rate = power * 1e-3 / heater_geo.volume()\n",
        "    heater_TiN = td.HeatSource(rate=power_rate, structures=[heater.name])\n",
        "    wg_sim = td.HeatChargeSimulation.from_scene(\n",
        "        scene=wg_scene,\n",
        "        center=(0, 0, 1),\n",
        "        size=sim_size,\n",
        "        boundary_spec=[bc_bottom, bc_top],\n",
        "        sources=[heater_TiN],\n",
        "        monitors=[temp_mnt_pnt],\n",
        "        symmetry=(1, 0, 0),\n",
        "        grid_spec=grid_spec,\n",
        "    )\n",
        "    return wg_sim\n",
        "\n",
        "\n",
        "def make_rib_sim(power):  # input mW\n",
        "    power_rate = power * 1e-3 / doped_wgs.geometry.volume()\n",
        "    heater_doped = td.HeatSource(rate=power_rate, structures=[doped_wgs.name])\n",
        "    rib_sim = td.HeatChargeSimulation.from_scene(\n",
        "        scene=rib_scene,\n",
        "        center=(0, 0, 1),  # (0, 0, 5),\n",
        "        size=sim_size,\n",
        "        boundary_spec=[bc_bottom, bc_top],\n",
        "        sources=[heater_doped],\n",
        "        monitors=[temp_mnt_pnt],\n",
        "        symmetry=(1, 0, 0),\n",
        "        grid_spec=grid_spec,\n",
        "    )\n",
        "    return rib_sim"
      ],
      "id": "d3596d52"
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {},
      "outputs": [],
      "source": [
        "heater_sweep = np.linspace(0, 30, 5)"
      ],
      "id": "dfa3f84f"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "To create a batch, we will create a dictionary of simulations of the\n",
        "various heater rates."
      ],
      "id": "bb21bde3-8ca9-4b1d-be80-483cdf4175d1"
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {},
      "outputs": [],
      "source": [
        "initial_wg_sweep = {}\n",
        "initial_rib_sweep = {}\n",
        "\n",
        "for i, heat in enumerate(heater_sweep):\n",
        "    initial_wg_sweep[str(i)] = make_wg_sim(heat)\n",
        "\n",
        "for i, heat in enumerate(heater_sweep):\n",
        "    heat_rate = heat\n",
        "    initial_rib_sweep[str(i)] = make_rib_sim(heat)"
      ],
      "id": "68bd7b9a"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We can now create and run the batches."
      ],
      "id": "bd71b081-f128-4eb2-bb1b-945d658a3da3"
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {},
      "outputs": [],
      "source": [
        "wg_batch = web.Batch(simulations=initial_wg_sweep, folder_name=\"thermo-optic_shifter\")\n",
        "rib_batch = web.Batch(simulations=initial_rib_sweep, folder_name=\"thermo-optic_shifter\")"
      ],
      "id": "89ac28cf"
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"51104734f4c34d00a813b481465ef2de\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:53:52 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the billed FlexCredit cost after a simulation run.             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:53:54 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the billed FlexCredit cost after a simulation run.             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:53:56 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the billed FlexCredit cost after a simulation run.             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:53:58 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the billed FlexCredit cost after a simulation run.             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:54:01 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the billed FlexCredit cost after a simulation run.             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:54:08 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:54:13 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:54:17 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:54:20 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:54:24 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:57:15 UTC </span>Batch complete.                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"e9588da457a04784b72316419e50546f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:57:20 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the billed FlexCredit cost after a simulation run.             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:57:26 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the billed FlexCredit cost after a simulation run.             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:57:29 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the billed FlexCredit cost after a simulation run.             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:57:31 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the billed FlexCredit cost after a simulation run.             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:57:33 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the billed FlexCredit cost after a simulation run.             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:57:40 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:57:43 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:57:47 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:57:50 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:57:54 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:59:46 UTC </span>Batch complete.                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        }
      ],
      "source": [
        "wg_batch_data = wg_batch.run(path_dir=\"thermo-optic_shifter\")\n",
        "rib_batch_data = rib_batch.run(path_dir=\"thermo-optic_shifter\")"
      ],
      "id": "d681742b"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We now calculate the phase shift ($\\Phi$) of the shifter based on the\n",
        "temperature recorded in the waveguide for each heat simulation:"
      ],
      "id": "b8afe8a8-2bcf-45f0-be9f-abe9e0787f9d"
    },
    {
      "cell_type": "raw",
      "metadata": {
        "raw_mimetype": "text/html"
      },
      "source": [
        "<center>"
      ],
      "id": "78f9cda9-b997-477f-bfbc-f6fb1e2896f2"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "$\\Delta\\Phi=\\frac{2\\pi L}{\\lambda_0}\\frac{dn_{Si}}{dT}\\Delta T$"
      ],
      "id": "3a98e0b9-5b3b-4ddf-bda7-836dd272b84a"
    },
    {
      "cell_type": "raw",
      "metadata": {
        "raw_mimetype": "text/html"
      },
      "source": [
        "</center>"
      ],
      "id": "d44a9c43-2d45-45cb-a725-2dbc866199bb"
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {},
      "outputs": [],
      "source": [
        "wg_ts, rib_ts = [], []\n",
        "phases_wg, phases_rib = [], []\n",
        "\n",
        "for i in range(len(heater_sweep)):\n",
        "    coef = 2 * np.pi * length / wvl0 * Si_dndT\n",
        "\n",
        "    t_wg = np.squeeze(wg_batch_data[str(i)][\"temperature\"].temperature.values) - ref_temp\n",
        "\n",
        "    wg_ts.append(t_wg)\n",
        "    phases_wg.append(coef * t_wg)\n",
        "\n",
        "    t_rib = np.squeeze(rib_batch_data[str(i)][\"temperature\"].temperature.values) - ref_temp\n",
        "\n",
        "    rib_ts.append(t_rib)\n",
        "    phases_rib.append(coef * t_rib)"
      ],
      "id": "914a5cd3"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We plot the results of the heat sweep: calculated phase shift vs. the\n",
        "heat applied to the heaters. Interpolating these results gives us the\n",
        "needed heat source to achieve a $\\pi$-shift in the shifter."
      ],
      "id": "ae424abb-ddeb-421a-832d-714ac55c82be"
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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FC1mwYAFJSUnsueee1KtXj6QEO6pTBcegQYNo2LBhVO51/fXXk5mZGZV7SZIk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\nHsIlTjWP38rgL4rTuIlnVUmSJEmSlJ1lx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t69ewNQrVo1+vbtm2S/sD/77t2713ut0kVc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\ngg==\n"
          }
        }
      ],
      "source": [
        "plt.plot(heater_sweep, phases_wg, label=\"TiN\", color=\"red\", linewidth=3)\n",
        "plt.plot(heater_sweep, phases_rib, label=\"N$_{++}$\", color=\"blue\", linewidth=3)\n",
        "plt.plot([heater_sweep[0], heater_sweep[-1]], [np.pi, np.pi], color=\"black\", linestyle=\"--\")\n",
        "plt.legend()\n",
        "plt.xlim(heater_sweep[0], heater_sweep[-1])\n",
        "plt.ylim(0, 4)\n",
        "plt.xlabel(\"Heater power [mW]\")\n",
        "plt.ylabel(\"Phase [rad]\")\n",
        "plt.show()"
      ],
      "id": "8e806092"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## $\\pi$-shift Input Power\n",
        "\n",
        "Now we will use the paper’s calculated power values that need to be\n",
        "applied for a full $\\pi$-shift ($P_\\pi$). We wish to display the\n",
        "temperature distribution along a 2D section of the simulation, so we\n",
        "will define a new temperature monitor. We will then utilize the above\n",
        "function to create the corresponding heat simulation."
      ],
      "id": "c9a20972-1441-4a60-9b98-40e402670a78"
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {},
      "outputs": [],
      "source": [
        "wg_pi_shift = 23.9\n",
        "rib_pi_shift = 25.2\n",
        "\n",
        "# add 2D monitor to display 2D temperature distribution\n",
        "temp_mnt_2D = td.TemperatureMonitor(\n",
        "    center=(0, 0, 1), size=(30, 0, 4), name=\"temperature\", unstructured=True\n",
        ")\n",
        "\n",
        "wg_sim = make_wg_sim(wg_pi_shift).updated_copy(monitors=[temp_mnt_2D])\n",
        "rib_sim = make_rib_sim(rib_pi_shift).updated_copy(monitors=[temp_mnt_2D])"
      ],
      "id": "a06418d5"
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:59:53 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'wg_mesh'</span> with resource_id                            \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'vom-f41bb900-adb9-4ab3-abc5-cfa6cf15346b'</span> and task_type           \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'VOLUME_MESH'</span>.                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Tidy3D's VolumeMesher solver is currently in the beta stage. Cost  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>of VolumeMesher simulations is subject to change in the future.    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"b35b8653dc5d4e2e9a5d30baaad10030\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:59:54 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the billed FlexCredit cost after a simulation run.             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">08:59:55 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"34279910e8cf405daf6fd353d3307b64\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:00:05 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<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\">09:00:07 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:00:08 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'wg_solve'</span> with resource_id                           \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'hec-2862962f-8b56-4815-98aa-16bfd2e845a7'</span> and task_type           \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'HEAT_CHARGE'</span>.                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Tidy3D's HeatCharge solver is currently in the beta stage. Cost of \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>HeatCharge simulations is subject to change in the future.         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
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              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:00:09 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:00:12 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"2c6b8a4c9f7c40e3892cde5cfe44ee05\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:01:58 UTC </span>status = preprocess                                                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:02:14 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<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\">09:02:19 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"cf2eabc5295f453490db3bd414694864\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:02:20 UTC </span>Loading results from thermo-optic_shifter/wg.hdf5                  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:02:21 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'rib_mesh'</span> with resource_id                           \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'vom-ea504e42-17f4-429b-a6e0-ef6ee4a5c482'</span> and task_type           \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'VOLUME_MESH'</span>.                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Tidy3D's VolumeMesher solver is currently in the beta stage. Cost  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>of VolumeMesher simulations is subject to change in the future.    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"3402d33a0b0746188391db2055f17f43\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:02:22 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the billed FlexCredit cost after a simulation run.             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:02:24 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
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              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:02:31 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:02:32 UTC </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:02:34 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'rib_solve'</span> with resource_id                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'hec-6b5feae5-c1b6-449f-9e97-147f61e2ca30'</span> and task_type           \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'HEAT_CHARGE'</span>.                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Tidy3D's HeatCharge solver is currently in the beta stage. Cost of \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>HeatCharge simulations is subject to change in the future.         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"eedabf4858154098afd8eaf06dc47021\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:02:35 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:02:37 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"afc669c00e21419c96ea4efe1d3832a8\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:04:11 UTC </span>status = preprocess                                                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:04:30 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<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\">09:04:32 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"ec769ca2d8be4ac3af0f33f87749dade\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:04:33 UTC </span>Loading results from thermo-optic_shifter/rib.hdf5                 \n",
              "</pre>"
            ]
          }
        }
      ],
      "source": [
        "wg_data = web.run(wg_sim, task_name=\"wg\", path=\"thermo-optic_shifter/wg.hdf5\")\n",
        "rib_data = web.run(rib_sim, task_name=\"rib\", path=\"thermo-optic_shifter/rib.hdf5\")"
      ],
      "id": "4ac2c566"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We will now plot the temperature distribution with the $P_\\pi$ powers\n",
        "applied to the respective heaters of the simulation."
      ],
      "id": "d4ddf768-14e2-4c7b-916a-d334d600c9b9"
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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08Hsadf6Kiyvp\nb1x+GiLp+G5InIG8+g4Da17cIeOVYbJ3f/5pFbm7EgOluhNYP1h6x9eb3Naq4jshugAJ5jE6fqn4\ngRn3+50/LjvONIduml/TiuUv93WJqwtFbX26E3dph1lUS2E6jRkdyvim0tSi04ZI99BqYGXQEgbZ\nQmuQpoRMurhqyvTtPKRJL75tovh6wfcmYjomP7nH7QQGZzT+Fd1HxrmjKIWayKyVva49TjZy1KXQ\nXW8ml5xjLXfT9hezheqBf/OM2miZ2utHZVWlemVkN145Vjz+nMSl474P18JzD5MprOt40+76wdTc\nh+pEF+32nvSP9OAXf4jHPa7GTd3J5zo4/kR8ntJWkdxOa97TabKOZHVgCh8XEdsR3MXVCnciCB7P\n9vyMwqOjuOGNFd6xwrs9i+zwwZdR7kfhfCcp60lOvjw4jtTWkeoKh7KX1T9LmhHc3ghpK33FwqWJ\np1xpNQSV27Co71maS4tS42xM2MZf5qSPp6+kv8jfkamNpOr899CJ+K467st+bl1cOWqfA+x5UeGi\nMhgc+S3uoM7IXwuOCWesc4oTDGOXp3YBqcIZOr5DUnJ544bIPXwk41sr6uwfX36G07drEsHagl3G\nx22DGyIc1i21CrlxH+3mL0bCFT97v2St7Q835+Ria6MVqlK9snK0RB2V9YbpCu+XQg0ivF+S7koK\njuyUe6qGtU+t+llgRf8mZt2J+G+YN/KTr/N5xCu4KeEPPRwm7jsQt26a5cE8FQubhhP4m6ZAbc2F\nVrVaxpV8S8gDAFRc9P3W8aMNhWtk4cK1eJqlh09ulvNXoQstJ1HxhEOmzUWucSA6reLbYt/FnrH2\ndbSkCkrw5jG7AlLsFc5V3LJwbdyuGftf4RpyaQrr5+PMt/t4eXCUv2bJz3fkeyxc6HLLe4yc2/ji\nzrfCBBNPo1gdtCFx2nEH14+qr0ZNB/8Wy5MdXiVMK2JZ+GsVPV0sT1HXC6XE1VBx21Asb8XiCK7b\n0HykXbepNTRvbtjmyGNj0k/TZpM2Ljtc8HsS9Z2NS7eh+6yhDYFJ+YranlIa65yIacXMD04H85CU\nTrHpUjhFXm6eovKQYl/7Vk2RRxOcyBeOdi0k/LV0fKvExBjKgPsRJ4/Ik5xXtw5pvDn+WmNUmuHc\nxz3M1lj/h9e2856cy8admArbF1XjDI5flZSPcMxRL/9h59bHS9uGwv5PPonH7dvokKXnIe6Ya7rC\nvgWgHaxVYTejecSX5ckVmIakExd/krTpRtcC4ucH8+Yqecwzu5ZutxQYL33HemRcVOUttFvyj4qT\nHEU9x8c4wY4z+XCOm4ukkZcKRahjza9TjX6UVKM61WiFqlWv3P1wGatC4q8+ZKwqRLCCkVVGdaqW\nkaOMsmqvH72qiFGwSmLnJL7KGdVJKakxzK5I2qkkVR8c3zz7b0ZZZeUod49g8L5E4y1PugZ0Cn9N\nPh33r5ORceryyYWr5CYXpNDRyK7MBy9a3E4IJrA86uIm2EBj/w12UnLD28uM9bKHUMqHc6okU+ff\nk04+Hq/TQUaqrpeWq9C3IStppqTpApCW+/V1+xdVKTfSkmN1GnK/vt530V1unzfs73IwgbgTnLss\neG5yv9BOxPzgeztzwbiDp0UrDiMV+ic5Ru4jN00mkGFjrxO8+C+c/d332UCFoLB7gnfs22tGZz1O\nLs5cxoL9SAtxFH5kc/MW7Pobf0EftcMLOcsqox/VXpn8Bx5/x3x495t8yefWFHKlYEZ1qtJytdFy\n1SirjJdTE4jRTidXtkeU6EaKbNAxhfXiRD4GMSij3NBk3la5ec3n2tglV0Ra0TvGl8fQtJ1U1LKo\ndaNecaLitgthe1naOn2wUbqUtIuFTZsHAABK4o1zHLks6pEhhdLeren4L5uTqsI2U1KBmFSTDIez\nw8b9HJQu3TiOb8udQKWkWD7tlqPyF/FJWy5rWZoKkz/W+Np0YT+47Vlp0o97SElsfk1+2uRvnTPK\nVWaNtT9NYc/atWO7CckY/7RMwnEbtYuK1UuD65ayq4PhgvXUtNP2+7iPw66PlzJtv29IvoLp26Ku\nE6LWj7r2TbquiBK1v9x1Sz01JOWj1LjirpWi3kflo6muGxpyumzMtVVDlBJ3MC8NyVex70BD4kzK\nU/C9nX6wII7KRyn5Kfa5Bbev2L4MNidEzU+ajtqGqOabpLyU+7reFVWJSijkHeXLHiewqSbw1Xes\naV/eAuOEG+VGUleuDPROO767Fwt1tmAdJkm4pmdnxT8iZ/z64XasuFpdXLEZvGE+fIqMa6EL5jVK\n3Pal4yjc/lmK+KLQLmgLof01pTSfYziFpKEGonNTbE5p+yspjlK+ekBLR+clNI/gbzJJ5UJchSyt\nYKUsXcuPn/2razDvcesEl2eV+1U3KO5RNlG8ZfnGA6P8yDImUEnLV1tiKnXRBZrbRcYEwsc3eji+\nMNmIeE0+5rjNclSvGmVVrRVqI0f1qlJW1apTRvWqzv+sat95Z3y5dHzL3B80q/JjOQXzaP8NTscx\nEVPxW1mI2bEOXKOsVWFw5G/2KcTh5KeMlzdj/abuWHO9I8CrZtn5tJd7x4RVEy10ZHIr5Ebe4wTd\npGR9ZoXg/lxHfSeiPuzgd90o910IPtpJ8o+yFBWnPZ3wnfM6MDm5TTNSYQALd/vcTVe4z0S1pN6K\nl6bil6YdpLFxNDRsJeNcFTS0OCpXfMXCN3Z5mnCzlHs8nOT//jiBFd3vn/1d9kZI8wIFpt0eNVGj\nLbkvt6dU8HGU9vKskmu2GSts0vnMUf5RcIFziTftWKdRxzuhG7d3k1UPcc/ihbLaLpNyFYVgA0Ku\nTLE3s1BKBBVK66jOTnZc9shKUQ88jf707UaR+Du2/MuCIzFJUpXqvNI6q4zXacvdP+5uM/kDItc8\nU6eq/NJ6VWmFqlWXj6Nwr30mkA877/7GJruJytvf1khK7vLwaFnW3nScXGcjx7E6Lrmfu7FX8nag\nI/dYsspi95P1fVnyKwS2IvGbWagI+pmY+UnxRMURJ3zQhvOTlK+4V7F047Y3KZ8AADQZuz2lWINR\nFH+LQMZqY4lvU8ktTf+ziV2bK5aT4vMKcZb2008uPn/dTBHtUW64pJc/ZCnjF5TySoqrNG4dN5zP\nuIaOYrEl7+9gxza3HcStR4VGXHJUuE/RG63JWs9KOarpJyqLoXvlwhcf4YgS2nti14tbN21dOJjH\nNHXNuO1K2t64j7pYWsHLgmJ5iqt/B5c1pI7ckM8zeIkTN69YeqUKpiWF07bD2es1haTPpSFxNUU+\ng/EmfdmTwjU0vWBaUWkkzUv6bOMutYNxBaeDeS1l30etE7UdaeNJylcp02nSb+wxFtXGViy9YBtd\nVB5S5MtX3OUnfF9z6zPwz8uX0k7hVxyvxhFI0yuFU+4jR4V6XkR0VqkejjBcK8nly7HWzE2V9oHl\nfrkqdkCGC4/gqOqFfRv+cBxrrWL5y8WaVXDU+dIVDqJCTbn4ST656I/+8qV52Fzyno1O0T+EQ/i4\niCtOgltZSvcqoKWi8xKaT9RFYTHlqJCnuQAOyir8I2pQ2gpYMHzqSmCwUcJtAQjEm3+TycgbDMIr\n3oIVcMddI9/xx3EXJQ+37VtmlB+VyU4/TX/xKLlxGOpUI0dVqpNRRvX5V672WujX7v7c6b6CYzZl\nvZzK6zxkD73tPk7O31kouEMLdXr3fjd7JKZglbLQXSgXp6+abP2143RDFnIWnGcU7AyVkcn/uh8e\n76rw3rg5Me7ffO6Nfdw4uSfH2XcQ2JPGijXqcW+2pAsRN067U4I92ol9qNkdmIzCPSMcFR7xVG/N\nd9fNh3GqJFMfiN49xp1C0HDlP9dx6cpA9k1gOul9cH5U+GBYlz3QVXDQq6jrzKS4kvIfF1aBZWni\nX1WlaQtJWi/qm5kUf1Q7S1S6Udf9xeLKKD5fUfEG5wXD/k6FUcrsr2mV5D0WzitjHHkN4I793Y9K\n1O6UZCcaPA/E3Y3lLov7ctun4xIKKRP4Ahl72hiZjCNjx21y51XHmMJ32SmUYP5zdeFv4czt75UV\nHKWpsClxR4Cb3fAn6D/fZLwldulkp+mfLjwILly2Fco/NwZjbZG7jRkZtdUKZfOjLbqdkrNeae+W\nc47cUi738buPmK2y7sQqZejKuA/d3ZPRd3f578NyQsscR8raj071Ck4nXNe1p02h9pGvTHlRuIF8\n6YU//HhRhUpwflBw04Nhowq14PcrLt5wFSg6zaT1o6Qt0Oy0VtVCrErRN0k0t5aQBwCoGEfBB1Ck\nXzP4zm3PMAnh3Dlp0yrU4NKEtEf8savhbr6irlkapzCStRuzv75bbM306bjxFxNOO7wPS992J2af\nxVesCuGdwNy4Y8KfWvjSy/HahRxTqAVn3OsY5a/p8hc4jpML78iR+2Out76bjlU3tKdDGxKnWH2v\nlFex+OOmS8mXy/4KljqdFFdcXoLbGRU+zWkhrm4e3Idp6tqln4bS5y3qkjMuzvDXo+F5aCrFvhOl\n7Ofyn4QbL5iXuHxFzY9q2mho+nY+So3PXtc+thqTv6h1G/K5JX0P4vZ7mmk7P0n5Cu6bqOI06jht\nSDtAVJpJ84ok7zXVOOHw7oTXBcUdWV1O/veDwqjl7kACSRuR7hRTqPH4T7PR8frn5kImjaSexG4Z\n9P+C1/BtcrfDX3N0fMuSR2zy5zB4M2b6YiZ+W4Jx2Pmy16tMEeHPs7/oSz5x2MfPqtrcFYt2sFal\n5IdXAQ0WLEuSKrSNfSXFW27Fy/v0aTvhN8Z+7w3/YAo/FDvKdURxX5GtByYYk4ykrDf6TqF7khfK\nKv1CMRi7GC3njnUL5EKXpFzs/gfLFbIX7HJVuMooVEYamotCCnEtBW7lzJ4T3z6Sifk03HWygQqf\nP41cXgo5ys0NVl5yD9UxTsZb7nvKmlP4G7Utvs/e/p4GRzuJ+sgdhXtL2EkYhdcPng/cHZDU0cGt\npMTUYp2MlGkjVdmdmvJ/jfxPoUsjql0hat2o+WmOvuBRlVQ5D1Zdk+KMam9K05ZTSjvKqqih2xu1\nnxtyERF10R1MJy7O4FctmK8kUZ97muMtK+upj05+nfyK1TWSU6VwZoqdW9xlUR2Io+oQ9jz76tle\nlrGWx9VB3HAZa3FgRxRGc3M77PhLiKwJfpeDJZef/4I5G9jPdudbd1TC4P/5dAMb5P8+B//3l1l2\naMe3ZpojOHzWKxzDhc694QYDxwub8e0l4y13x1ZsiGINJF73KhPeBm/LTVQZ61idqExhBTtux9qP\n1uqOdzz7c+e/Wysiz96BmCBYJqepExeLNqnMjiuf46udpYn6bqbdJgAAmpldx0pbEIaXpuuuU7xg\nD6ff0GIzXAuy04lOvRyKjboUPfpS+tjtV3QXn/CcpGpW8Vfhsyh+RJjIY8N+OZG5SN5mN3VfO1C+\nI5KxG4iMUxgV1FjB3Gk3Neu9nctgrgs5iAlkb14axeqiwXjjqtnFpotdhDd2Ok24UjWk4SHpfUPS\njjr9hS8Xw9Nx+z1JsbBJp+JSL3Ebo1japaZVruMlSin7v9jnnDbuqPWirm2jwkTti7T5KSbuvFLq\nPmpoXpK2rVi4tNNBUW1taafttoOGSqo6FZmXdIp1Z3qPOpVV7gXLObnv8yWtN6x8/o97E7i3qhOb\n5SB/zSPYkhi98VGlf9pU4moypf9OVjx8ONelHw72PgkW340RPvwLdb3oUPE5DMft/ov+JE3MetFx\nF2p30QVndO0SWNUx8hKaTpoLgqiLQlewMpokTVmQdNEUFz5TJFyxON043OmSSu6Iqxpv/dxjSxx3\nHOdCfcrfMGAPvWRycbqFZ0aFx5kFhzovvAvFKuXXyRqjaid5xKZ4ceHtUYjsortwp19hqRQYoyAU\nU2EEpuCyYnlxH+ZTCO9vJCpUQYwycnzDAZl8rI6cUJ/4wshQ4RTtQ8QNEz2iVdxW2w/Yy43i4R6A\nxj+KSH5/2o+O8xqh3P0RtdPiGnHsOnb8BxKOI1g3z1ivKvlHWbJfVgeDUBr5KLPZfHAr/nr7okPx\nR2FUe0Ip147Ba/i4a/qocO5muO8da3nUdWIwTFxaaTR0vVWNu0+jzwwNjy+uTS74WSYVfcGvjzvP\nRPyNii9pu6KK36Q2Jt+xa62cf6qpe6opRBg8gOM6Rbrf8SprOuq84Z7e7BGbghtr/41qD7DPJxEb\n626bd851T4/BL57yYRy3A6kj42Ty0fuHPpZvNX/J4o4QaO/9QkNF+MyUtXZgUmlYKBEduc0WwQv3\nqF0XfySYQKhCCZ00BqPdbcf/UTiB/eHeDZ7xYi/l22d3gopjTPD5g1L4B6xwvh07nHeQW2FN8LOw\nttLJl82+MNa2OYVy2VsW9Tzg0MYEpks5idvfi+jDLN1Lhc0oeyGSlGYp6wEA0EQK9YRwgWOPS1mo\n2QVf/jWkqDaWcMHmjzusIdcudmpRtT23whB3fVpMsbajUn9Ya8zPN3Ztr3hFxx+ylFQKR4dd4/VL\nOobsuNxPPi6eiFWk/PWML+5A5d8egVuybqLw1o+/jo1LNrWkC2BbsY8orl7bmOmoPDY0jrRxRV2Y\nmZjlpdb7g9NR68ddExSbLiX9NOvGLS8WT7F4g9csUY0h5VBqvhqaRjnym3RCTxt/1PVk1L5OEn1y\njP4epM1HsEkj7T6LS7dYHpNEhSk2L+2JttRp+31UGCfltCvtZ5wkvikpWsSxVuzwcIxkMlZx4QTC\nO7mIc+17bsmZL3lNJuI4CLYhlesEEla8fhRVX/HXEkvJXUO2JJeWWzstNYby/bpYiDF4KnBrUXZa\nDfvMCnHHnwB8jx+MyW2h6lIYjT5dgdF0xxrQUtB5CU0nqvy2y/G4q9+kdeLSaIiki5O4illD0o/a\nzqQLVV9F29eCEGxRkDHZ3F3+TkRWYirUbthC40jSc8Giosg3ejjluE4qFNG5/BcaSaIqV0Z2nxV/\nNShqFzves8gUCJnmisd9EJ1bqfE/1s0eGSo/iLb8DXqFte0c58JlZFTvbbn/Z9vgtuXiygQOWBMR\n0h9HsCKWkTGFVieTP2C8MCaYh8hdkvsAvKGcIpbbEWQj5rudErLWfDte+3tXlU8jGNYN30ZSXTgP\nxkhOleTU54MbeZ2YkkaXLNYGE/x62p+u3U4WJWkdO4yddtz1Y1ze4iTlC8mirsmTFGvTUMKyuPNZ\nQ9sD0hxPcekH04ti9xuyiys3Lq8DaFTCNYov66sV36nJfblf5OCj5qI2OmpZ1HKbE1zF5DqlOPb3\nt1AImrjeT/lY/OcWx/fXH6pQghRCm/zp0Z5rl5rRn5zxOv6E0w02JATv/cp6cYfzb+dYsjtC2fmy\nt6KwF+2fbILrKbR97pTj5SZuW+P2fdw6hbgL6xYbqSnU6OOWo8Y6mExETryA+f2Yf6xg7j8rtDHe\nHX6+7AULl+AJPaocjpofvWF+7u7IxoRJU9CUq7AJFnZp8xEMmzRvZVetlnEl3xLyAAAVEj8aUDL/\n1X50YW4ilzWdQqqF99HtE+5SfwemNG1DxTroFO/kFTcCU0NuqAtuT7G82+mUlsfCDWnuXvbv51DH\nIm9vJP/0F7XF0aM5hNtFvOd8u01EVmTG+C/H3Hi9vDiFcFLwWCkiqr4YVectlZsJ/wVGeDpuXROY\nDtZF004n1dnTblsp68XlNyls0rymPOWkbcxq6tNemvjTnNCKxd+YOJLyETzx2primqeURihbMHxS\nA1kwXJpGs1LFxWl/f4q0D8VKWid4HRvcvoYeJ8Fzlp1WXPxRx07SCbxYPFHxRd1onLZtwt9E418W\nly/5d0FksvltdJtm7FqWHdb9ySR/11mu9HaUf5yqlBsQIBP5NIvkDIfzFaxBJIW1NyKqthDHrtdF\n1QySXg3lL4qjaynx6xa+hA3r/BQWf4oM5jBNWuEw/m0t9rlH37bgWP/7c4dItIO1Kjw2DpURVTkK\nlpLB907Eqyny4aYdzFdcXuNKlKQLCikm/yYw34l471ZxJMe9gz/U/yhfI0tRjzJuGqn3r9tZyq1Q\nNKRQDRbSbhyFak704Nz2b2p2ha34h1AYucIe2ULWcjdOO/1Cfty1CikXatXBwb39zXjBsZPcafdB\nOYUqqz1mRWF/uCkEKzKObzpUTYr6DPOjgRjj5EeHkDc8qmOCA6L7dk94XjB+e/PcQZ/iaolumMg8\nBpZlFN+RIeYiOmvyFyTWxY/J+q+lqpX8eNq4i59yCx4V9nTcV7Ecp740qCw3DSfw156f9LLXachn\nU2ydUuJ0+w15XXZMvmjKd2w0mUIfx1hRG1kVMS9u3ahzSLBcDvYpippO0ViUa6wwXrz1Jt+w4VgX\nncFy1ZdU4UzvJhlf+XCsU5vdZTa3R7PeRgef0xnecXZ1qrCufyf5mzKCJ1j/DgvG525VIbbIUiSw\nLcG8BRslCnen++sYjm8NO3wSf7csq/OUIyWOapTfDblRtKx6kpt/E9jf1kiGvpcp/HXDOcHRlXzb\nXURcgWACf6MyExS3LOk7lZSvpO9rsYKtmDT5aEi8AAA0o3C9J00NveEdc0pZK6p+mtwUV6zQLa07\nV7guWtqPV24tOr6DU8P5Y8jlrTCeaTi/8V2s/HGE445OPX0HqaTY8hdsTuEWCDcbwWqxOx3XFGov\nSLw+LVZ3a1hjYvnjiqo/R8WZZrrYtWdU3T1pOjgvLu002x53PWD/LVddOnRRFPEK5imYh6ZoEEva\nB+Vmf9YN/czsdZL2VXC6sWK//GWS5vow6fsQdzy5cRebTpL2s4o7B8StG/W31HONLc22pY0zTXpp\nRX0upbQFFPuc7LLHWLPy6ZngvlRhvvHC2F2IrZLZsUpmx3rvy3PuiRd2E1GpL/vXoEIuwvUvt17m\nv5Eu6oAv5ZVOYw4DxzeVPn13e+0tb4xi1Y+GnTTD6xTm+FMMpu+vq9m/Bvp/ZVTEHKC1oo8YyqeU\nc35UxbLxZWvpGnqBVmqFy75oiZoO5skpvHHvgMr1DjfuhFWg5RLIZqWqKjuSwqRxColGFbNZOb6e\njE4gdjsyx8ktzSqj3I+puZ4qWWt0oOLNWNE/axtf2lG7KleJccO5lcpwL0zHWiv4aDw7h25cjvfO\n8ba7kEru0XCSlPU6T2XkNvkU9pVbubC3v5AL+aYK6eZGYfKvYTUoWbkKbqNd2S6MDBHdk9sXheMU\nOva4e8Ou+Yd3U3T92B4tyV7ufrzFvtNRIzBFpe8oPIqTExFGuYuReuW+JqZKcurCp5g0SmlPaGhV\n0j5Ki8VvfxRNzf/tQbnZ+zbmMPZEzY86/JPSSTOvWFxBoTisc4mT79lknFwnn+pgpqutSIIny7jE\n7Fe1Cuef4DJ7OKiswj2o3DBuJ6kiaRdOffk9l5+RkVTv5BP1tfS7QdzmCPs+66gyKLihbqnjjkyU\nm3ZPf+6DUP0/TYQvdN30gg0iuaWOF0dhEL2ML892GnZpVMinXSLbnZKSmheiGmiiQhW2IzlssZTc\nbSyU4+7frArlo3vTedS6oQakfMdfGX9dJfdf4GA0+ZfczsJR+zGXAePFl//cvUidQtC4zY0rm+sD\n8+J2WVzc5WwnSfpuF1se3LbiLVAAALQo/np8Uk3Dz3iFeq6tJSp8dDtBdNqlKrTNxL0ktz0k3G4T\nl5+4Soe9Xqmdj9wbz4IjQRVijI8j6jaxYM7cOAufWa49LHw3cPr97YZ07/oqbTT0dHG7jDXakvL1\nU1N4L2uZb35+v7i/+Ea1CSWkmuJjK6xYrjqcr81L4YaUtGkFwxW7gFHM8qjpYtsdtw1xf9PkKY24\nbU67PXHzSqnPR217+GK24dNBpXyWpUq6dgsuT0qn2HVgmnCNETypp81r0ucenA7GkfQ+SdrtT0o/\nKmwpy6K+n/bfYg1/dhzBaXt5cL1i60Tl0Z72V1Sip6PyGwwbt0+S4igD30fqNsME5yv6NOq+cZQf\nCTt4XrUicRx5o2UbmfzNjPG1pPiX3UZYSCBr1bqC7W4uE9rR0Ts4qvtLuKaUpLQO5G5O7NphUt7i\nUy2EKiXtqLwkceS2rxZuCk1/Cg3nq/ApBvdvVO02Ph47XNwxkLw2sGqh8xLKp5SKsv8cXFlpK3VR\ny4qtn7SNobLM5MP7d6SRsebli0O7wcEqyLJZo4xX7lqNNSYXh1OINDE/4c4++bmJn1dhYwtjG0SJ\nL8gLFbdwJc6uYha6L/nXSm58iurkFKxGyPcu2FRm8jlzfxksdN1yf16ObhEpNKcVXo6XhpTrwGRC\nYdytzIRy4s9xVHXS7oAW6slt8pViR8q4m2OUe2OM91Ga4KEX9fLWlb+DUbHHPrnh3A5MUY+Gs7md\nEuzOUu76dYX43G30+ixkcsv9P04XkkwjTVuBK/zpx4u63IhaP3jtVEo69rVo/KVDaXHCzz6cSy0G\no/4WC1dq/FHrprlcTQpTr4j2tqxyHZcc6ztmAvG4QzbZ3/eoEZSCo6+53/Uq6719cAfPK3YnJvt9\nMFzUucaK18mvYzKOF49xpGwmfHeMd551HDlO/Fkj6nton6Xtp3LaHYNy5UjGd97yN3648xzf30K6\nhZ9bsr4dY69biK9w3iiUfHHnqVzJa5duwa2WotIJ57PwKNbgB+Wfn3tfGEkq6kP0hw+z4s8PC17Y\nFn94d98VajhWvcWR/dQNr4y1p+2NLmyHm3Z+nm+HuvW8IoL10DSFR1wcwcpHuSXFmyafxZanjWNV\nUqWWcSWfNIwlAKzy4uoZwTBRwj9B+dcKdoUPhyjWsSdNnT8ul/HpFpYXptL/xBT1003xPRh1m1bw\nZzW3phbMnzu39Je/O7xbA3Xz3JhKhz+d8O1v/vp2ckrR9WDfUl/l3d73VgpOrgrqFCqsXj01KhU7\nNrsua1fJ/J2mAq/o7DaMHW+w4SNuOo1iF/hx2xF36EUtT0onOC94QJS67+Iam6IvUBv+2cQdvHHb\nEzedFL6x0n6uDRW1/9J8xsWUclIvl4akmbSOvcz+zoYbGaKvdxu7/VHpF1NqQRo8pSdtb7jwjU83\nrukjanvSbGdD1rM/k7h4jYr/JhB8xW1jXBtHcLETbkKJO8U4csMauTd3Gy/ufMuPkyudCy047k2F\nRnIy1uGZZqOiRRdN4XWjis9gLSW5a3whTn9NyU4j7oN22xIbVhxGif59SyrXA6LSnlZzn2HuMy69\nOSmqVu6u748zHK//My52pMRXI6LXLLWqs9KhHaxV4bFxaF5RF63lqMA3RLq6RHxeitVHkirq9naH\nwkUUgCbhcSIZ/xt3VICS8hRRdfBVepxiHZeiEgrGGR4BIjivsFvCP/AGC/pCPxkTmZb91/HWiWqS\nK4Ryx4UI5j76oypclRg5qrcOBnvkCv/VS+Hl/ojsryC5y/2/shtfyGD+o5cURpgI5Nl9zJHjKJuR\njBPzZXSzkVYw2+6z2aIuWOx13LBup4TCBvjDVQXWsdPMj8RiJK0wUtbJveodKZvvtOB2oogajCUo\n6ZSUthKY9HWJuqRJegBUQ9JxL7Gi7gZN81Vu2KXXyiHq82vI9kaFibruDk6njTfq+Ej6KjVE3LFc\n/GIzF8buxGQkmUzue1dvfQe9Thlu5yM7w+5fu7ORpFAPnWDHpbgvi7uzMta0YsImbZwTnGWUe769\nkclIpioTGzju7iT3zB91kZnUuBAsV3LT9vukM0duOnfey0gxeQum7fshQ8G7v/wNK4X5wWf0RYvO\nu73MTsHEzA+2ablLg3copf9muFWn6M/O5G86dyJfhVYyJ/pL747AZO3ZYD3Y/+kWybqjcDpFGvVS\nCR5KTSHpGqAx6cZdX6zSrTYAgJVBdFEUrOMUiyN8Q1K5C7pgXSuNQq6Su/JE/7AWP6pSUttUcF9E\nr293rG/sPgr/CJWTvtISfLxc8BX1zq5vJ7+Slgbad7wsp/y086Mu2U1GweYjx9rFvuvTUup1jfmY\ngnVJ92/UxXL4Eis8HcyPY82LSjPNdDF2elH12MY2QMXlKSqduHp0Q7etWKNF+pNg/DrlrO/7LzKb\nX9RnVCxMU6ZfrjQb8pmV6xo3Lu6odOL+JsURt11R55q4eILfQTuupO9NOc9Lbnxx39mkc2fUObfU\nYybq8044Ht1HwNnFWmT5FJdtY7WwmeKZ9UK4P46l+pEsqXSOK+tLiTGp+1JSIRbcthLazWJeUfmM\nrwGn6XAVTC9NW2bxwy66tTDq98o0wp9ZOM5ieypufwa3vPjWl6PGC7Q0LaGfGlYVacrZ+Ovt0uJp\nLDv++FK2tPiitieusmnXHezKoWPPLKX64K6ei8wYR8oaOVVuLPkGpcRSzFFw1CdJ+REkorsIBdkj\nASkw5aUh++fbYCWqWEtCofrjKCOjuph6vCO3W09u6+38FEaQcKyd739vrDhyoyIVmuUKY0xkZI8Q\nlZvKylFV5BVW+OfgQt4z8o9a4VZVwl+GcF3eX43xVXgcqzprHG90CMfJN0A5+Xlu57Tgy+0EkNuw\n5O9FXC0p+Ht28OImmF7wEHD/2iMvKSKOmlz6zvLcNYTj5AaSyjqSk5GqHanKJJ96gptjK/XaK3jN\n6v9k4xU7NaVhb1tU20tSXhpyjbmyacjpPbhesWv4cvQMT1sUxn1lGso+PorF6X5la5T7vrnfO8d6\nmYxkanLfQy8yOwFHhce4Bb+c7jJ73agMBeOJ2qikst4+B9mdpPLLvD7B7sZ5URrvXGuc8I9KhXN+\n9H3z4Xak4GVp4RzuTttr+xs6gu1c9gNaC+lG/SDi3k8e34hglSWB94W/xpdvE/hrb01hn8TfjucE\n1ovqvGXH7d+X0Zf2wXnBe/WNNQKTHSbc8TnAPZ5NrmbgHTRJ3+KYk23h3B2oF3lpRKzX2BO3m6hb\nvjZ3IZDUnlNqwRkX/6rI7hBaSS0hDwCw0ii08yS9gqJqZqWkmD68W6fz1zrTpGK3kySvWayty1/4\nF/txLqobk9tq03h2+1BcXuO3N7mLVTx/jbj4+nEh/LVna6YcyWRzlzVuI6Fxr26UG7ndijtN20Fo\nOl+vi9w3aTarnL/C2RdJxaZLzUPiTmhgPoNxB/82VmPyFTWddl7UeycmjLssad2G7ou4z7rUk2ux\nOEtdJy6ONCfxqGOnIYINQaUIrhe4nC15/ai4FFietN+jvo8NKTyjjtekNNOIatey8+c2KwTnR60f\nFVfa48VOLziddF6LWi8unaTvuC268lOUsfIWeXowCacwRzK5H0kKAZ3wgeU4jrWvg+1wDfmC+lvI\nwh+e3SaWFFN8TTLc4b00payTnM/w/gnWiwohgvPtWlBwCICkNOMlNTeVq8ph59l9lor9Oac5TaT5\nPTA+3VUc7WCtCp2XUD5uiRh3Fk5zlk3TctNYcZW+pHmlbldURTIpvWBJmW9QMFFhgtEZa7HjrpVv\nOMpKmYxJPWpSVo71G7FRVGemYuIaZwrdiByvCmb3Qy6E8w+5YVdioq4no6pBhXQKa7mVnLjDNPhT\na1DytaCbq4wcZfPp+KtZwfz676/LhSk8Ec3tKOU+FCcjk4/XsbbBXxm0960/Xi+EyR8dTv5H40zW\nC2rcxwoGd7Dbecl9vFvc9zO+zpxb1yjcASpq/Wop8Nwkfzwr5H88nSOvY5MjqapKytZbHZfy1xjV\nVVJ1XS76mnw0UVmIuw4rtQ3KPgWkaWdqaFpJx2Xaa8O0bQrlbC9rKZIOx6jpYsvceUnFSlJx4gT+\nFpsXlWYpxWZc3MW20R3wrFqFEVszVdbXMf/dyzj5+e731+6rYpQbuqlG0Y948yJOyKyd4aQOUFEb\nGOxMFRz9KbCuk3HyHUIlOYVzrfczkpE1THUhE8bbWPcecH8DQvBnKH/nHndN/wY51vvCcv9Ocks+\nk+9mWygHo0qIQr4LpZdbomRl8ldl7jJX1krbvz12XuQLb5++/SW8+7+9f0xgX8mKO/5DDuYzLUdG\nWcfJP/Yt2AEqOT6735P32LioliJvtCY7zsBf32hOboSOP67gBxh1Qi82zKAvXxHzGnLCT1qn9I8k\nXT5MyhcAAGVXnsImua0h7Vr+ecHaUjGFcMGu+OlfxdOKqyUmreGvIwdzbUJThWXp44/bl+kqQ/7r\nu8L+cLc2qQNTONfB2q87v9SX9Xk4jnzPdTNGcrw/koz3e63bfuJWZGNHXYrbGDdsPi1HEevExRE3\nL+nlBMIqYp4TWFZsuhTB7QpOF1tuSzoU49ZJWpYUrrF141LWL1wOF4+nsZ9B8H2a+OKOo3JcP6Td\nvmAe4uIJXvPZ89KkEyWqfSUqT8XiTLo+jUuj2DYHlxfbT8WkWT/NZxG33F5mn3ucFMuibuaNWie4\nvhQff9p8R82PawoJTie9d9ONSyNJkWPeyTeZuH9L5ZVzGcdb372p23s8XL4Q8xV9hYLVKz+Lf93C\npXPwN6sCY03F1cbceKJPrcF5DW0fi/rQwh9H/AhKdr0oudNRrt2yWDxJ+9l4/6eriRbCB7+KaU7E\nUfn373f30zbKKvhIgGJVKT9/bb5YFQxY1dB5CeVT7MybpoJo/027XqniLhKTwgQrgknrFpsfmR8j\nZYy1Xoor53wlLS45x+vwkrLzkuPI7azk+H6STMp6uCEmuFZyP+/omrk7NlO4+5EbwlhTudxWeTmJ\n7jRkXxEY1ef70RTCFX6AjV432PHJrmy4+S1saa7ilc2nklHhB+vg1tqVT+Nb4k5FNXb5K6pZuc9b\nzipY2csqk68C5luOgrV6xymMaJTvwOSNmlJIKvdyOzDZGxHkxLzczgj1EeHceI0VNrieW9+Liye/\nbqYq12HC5PPvFK43fNXFKuX6TERlP9jWUWoFMO7bG305krxOnDRh7V0TF0dcPltbpbeUU7u9POoa\nPs16tsa0vySlGTze4tobgsvdaXv7gusG+yE5Get8oXynJSfXmdBxO0AqEKndOcn+rjuBeW6m4gbp\nsdcr9nLjCuYnbnQnJx/U7bjkyOrAZO8Xa+QlJ3zRnSsPMvkLcvkT8LIVvEj3l3ZRF8OyQrrzs946\nwTutcp2QouLLhmL0l4n+cspdp7Bj4+7ML5SHhQYWJ78P/CMpFXZ6eP841vzgty68D4INHVGNH0ky\nyndgsve/SbjP3358nJzCnX/Gn39vqxzl7u4r5VvvKPfsU3eduJN3XP25WBUs2GHYji8prbhXnNJa\naRqfHgAAza5YQeXe5uTXsGuBqBqYW/EuPY1C60pSVTpdToM/U/lrg2k4cmu18aMXpelkFdy+UhS7\nKg7WnU3EPipWAy0+glQh9tI4vtStfJhCHu3P28u/Mb7wTkx9Mvh4HpmI/VtoMAuPoh2f6cJ0EmP9\njavDBsMWiy9NXbah00mi6uRp13f3WfBv2vVLObAaU4cvNb5S9mPwGE3boOXur7hjLW08jVX6yal5\n2MdUmrBR08H3wWM0GCaYXlT6UetG5bFY3tOkFbdO8K+dl4aKOveVmh8lTMfFFZWuOy9qSPmk/RSM\nK+35POozTHpfaJKTO3CSsd4XFqZIW1YkMrmyzJGMMv6IvU2KajdLe/DY2bf/L9a5KFjfMxExFJYE\nl8bX7NzY03duiq5dufG4c5yE8GGljA8VTs2eF240Tj4F2OFSjLieDxuuafrTNFacTmi+PweFml/x\n7fd/YslXG8Cqgs5LKJ/oMjCduIqfffZtysp8sXTi8mevY8+PquDF7Rdvn7kVpZirTyfw3g3nq5hZ\nCTjWz3VpKoxemOgxg8KVmeJXcv774HKdhpI/xkKlK2PN8/+cGbwSz+Uj14HJzqndBapQlLtzpKgO\nUm610wnEUqjwFD7GcIXInR/spuQ2UQavv8P7wt98FN9Q5+4jR24Dpb+NI+6H1sKnZuSOtJXPV0Yy\nWSd+BCb3vd0RIbwbkrnrR61jAssVsczOgztCU721UY7kZPKjL9UFknAKfZ+SvorB6zx7fjHB7AbF\nXRs3dUUzbf6D67ii2gZW1Ypx8NArZb206zS2fcNOKyq/SXHHpVVqfoJfR7vDozffkTJ2WehuuNtz\nMNjhKBi55P/C/j97/x51zVHVieOf3ec8z5sEwjUwQY3cBOQ6oA6yvlwkIjdFwREERbwACogK/ERx\niTCg8TJr5KJcBAWZcSGjYkRkATJkKchFhhFchCCCDDBgkuEmMRAzSd7T9fujalft2rWruvqc87x5\nk/R+Vj/dXbVr713V1VW7qj+nyiEHNVk8c0hmwMoYhXrOv8QK947CpxQHOEp9pQcu2e2u7MGmBsUM\nO+aMWZ95ZNuU2h0N8Em1g3TGVAinl+f8mqB7X/kxJP3yS/Z5EGlIpQEoIFJTPztETbmvwb27ZVe6\nL9OxHnsipt5P6jxIzwSpwbYa7vAeuFHmBbHiUABBxZWVeDUlfdZvNtfTTR4szWqGl4VS5kVSK0zG\n7dK5WOmsGZhra2ezD+Ll765uOhlsWGihhRY6CSn5WqlTSxvj5p+StiHdJZfaNb/1yae019aV7O4j\n7YFZv6lvH1pbfpfnpa8M8zVQe6bIpuTlRJn8eTMIlvRSTunR147knee2ASAKQHqOCs/WAXBjlrXW\nSktyimaSKn5z4cf2Vi9LlgyX91O+Z01+zSdtpbHSw7jWaWq+967nnjLdxp+XZL+W+X3tGWjdR2WH\nxbtL49vSvU3alh06Xtfp1vPbR/6sd2kqvmXzPuzT6Xr0TZVzrz1qmF6QfCby3MNTe1+0nJaOWj6n\nZFn21eLzKaI8vnbfU/4WWbon5MQVmYLaop9Rt865sDsF4hxf1iTzZKdWkonsX31JzxOyd9gm6V3Y\n840O8jfh0vvqpW0fkqdaUzRVPk5wzdOj/UTLE5634lRvd8jr1LcqZM2FqGuctpO5pzZ33qVLukbQ\nMg92nSILYrHQQtvTnHG65NdhTFMzOvtqkfVov0UtnVb6mkwd7oAEPjLOWbwhSymJ2544mEf5rFpd\nvu1MTX/8s6m+MkKywP6AKq9lR215yCVP/oF1MPPEnOXZzpflkOT5TrZRpr+8tvJdfqTNc5j4/Koe\nm2xlD52SwrdRoYPScubye2pmurwfxFFb7USnlQen0yuryExJlJHOrKQBafkkoWNYiWSUxhrWYi41\n6pnPsN7W2lHLRstNrTv+9XOL5vDuI901jbbN3zblOfX8eurFnPo3VQ+n7K2lIwhYSXjPEEZUqwF+\n1SW5HdsKGoeSC5OZk+0LkL+Usi3paXdqbVALQAXPI4FLWlfeLedvrJyI4PY5ffixUnCY7mvs/oL5\nJBBK91HyrPumnGeA9TEqWZJ+Jp0mV2R/nz+APJcaVJX+twFTpRV2n0gZZ17u7aNGErCc/CYqV2By\n9iHLaiviisXnkZKwsnhs0v1rIR/1beWsd6FGUx1lTXffbE5K0ytzoYUWWmihhU4oWY6kp9Q15Z6R\nzTNf7/yxi/Qjp7vPHp9pSp+e35l7WDNFdRvLI89j7l/nT27bPGq77A9afa5K/lRyGD0ZHH0uVfYU\nSZUkIU81kBiouCKHpUU2VeNk0WiDezNXZrCkXr+y57G3eHpe3voArC7DGsT36NA+vqWvlbaX7EFs\nboPmaaXZJ02VLc8pzJHVbij75NTKpGesZaWbo3cqvKcOyHdWy5q6nks9Yz9NtXHtrvVax1l1Ytfx\nrDXhNlWuOqz3nduWWvb06NFtfqttb7X3M6koWiFXfhtzIgGRSztRQCRsvKvOfFFLLu7b9Qxab0ZT\nr5xkJSlypZ/5ZM1AltbL2KKEGlVxWx+rJFfonjshNUcXwAsRyKdX2rA96dWZ2vak52zbejTd6kIL\nXZ20YMQW2h/1tpA9g8XeAUXNuavJnjO4tHpqUtetAYz1ddJySvV9Ne9BodNGsA7LmSK/MoTRB7ri\nRv6sv2ZDHyU8eJv8B0In7pIrNjVHMBTpSay+ZD0i6+H5D7+rwumS6zblOdtgwDpzCfKZBTIrhw+z\nSkRaxY7gKCTqfE/5/IwA5y19iPz2dQNL5E2hQQANfisaAkAOaekUF3+pUBjKxCswcS8yKl59pBXs\nczCDlWYQ/Fq/NZHDaUS21mtgsxFZhQ/HaL/ilok1x89+uqWpOm6uE5lqqX3eRZa0c2ocva3Ok5U4\nPz3NsU4jeWrPfI4uGHE93UGtm+oZQrXqqwybwg+yDavAEN81AmgFDGslQAu0CkZWtMHglQXau1Wc\nbFcYPFXLnOQlqAaEQhPqM+loyDLu213+TTn3aPK+PjejieDi5q05OKf2HnpbUrxVsGWtHWH1S6mG\nSLBwPkjXDydN2MgplNbgua89SRvGOgOJU+tTtScx/xdXgX/KSEIBaCoqnlPXzk82RHus1ZdULuMv\n+8h5IJOIKmxszRr1UEtmjfeoOgftavX68MuszUILLbTQQieMpjueNBNQ8lku6xy91u/3+zpBPeKw\nOKbhRXW9DnIz47oVU/LbOZiyx4JDsW8p8z7PU9Sk85jg9C1P3M5Rkim3jJPyp4c9dl4cAeREWZB3\nLTPBwu9yrm+cXI0ULqwMi8QTLhbooNfv03xWtbYG13qwclS+o3yE+lrOn1m+tw6XY2FrYkcP8ntk\n6rDe85Qci3qf6TZpp+TKstnmRWf9+6wjtYmelv5ZL6TSNSW/146a/O0b0PnU0lV7N/ahU79/LTus\n6ZhanPXu1uJ0pyKvd30GtTazpq+luxU25fjMSTeRZ2fwF00o5RmN1UWFc2w+3yZjp1ZfKr2VPH2w\nuZHZcsWfWkXZhdKcnt2FSX+krrPsvlxI4RTPvHVVcsCWn4X1Fq8K3pZn1/Ix9VOXMaUX30P287Gb\nJ7ti1+qYAz8xivcLLXRtogW8tNCJp16HY6rvtQa4+trvSmLzWLJ6B7t8PaCUaYXV9Fn3uQcVwioT\nSo0+PhZtyysqjCDAUdyRjpTeHCxU05s7fWRnrmqxwwDCRvFJIJHMkAYYya3pkkuarhJ/spIBTCPY\nmWSb7aLKp8WkLDlFlT7k5haMwuGUR1qVCfAfafVKF7b74sImQ1ZZAuSXBHflWDubSiMnCoSAIVgy\nRuZ8gGYNJlYVQy1/mpC2ftOPWsZdYejU1xKQwPo3HjgxHAdWzuOzxk1KMkWSR4KYHOQyrGVzUKOy\n7KfnfVpvChRPD6+Wqa9Z91T59Oo6Wak2ANNnTVb1a/H36tL1yJJrzb/U9Fj3WqZ1tnZz7CkTrsvD\n4I/VClit/TXxu8lLumrQkDZCtg1ydSRtBLcPugCtQ8qS+i29oj0hApwAR/HOClbd588ynsH/LseR\nvbxU7Rc6uk3wcoFRbB3Xu4JQaq9InUtd+Scc+4mnPs26T708A34o40kyLX6eZrDeFpmP+puS28n6\npA1MPQCmrFxDhskRRl5RSXYG4cgmX0SYk4Vmkve34rU+Rx1KrxIhjE9hPY205YdOhen81+QeRSfR\n00FZaa7NtCyXvdBCCy10EpDt2+XE8wCl12Vz7moPS+pPI7vvOfpL91sDhaQ9pRORfLeavZYHVy+/\nnqeRnsIo7vZBuRfOXvHuzxSQz7X1ZMtxIom4XgfR81EYAw3sE09ZOOUj1lUpQahPcvRMrPTytGyq\nD57ya3m29LcmfWoTSnPOrTBNcyePWs+mdW2ltWS1eKzrqfjW9clIcxuF6eHw0eqfIl23pq5b8TXZ\n8p6pNnGmO4Oe/LYmzKyz9Ty0bdqmqfG8NRln8VjXtfz0vvdWXmq6NZ/WZ9nQ0mXZ0urQa3XAEOMC\nf7xu6ubZqcCkELiuQORa2uqFZM1TlVLsB1VLx6E8t6a7sbJbkA8sL+hUTVy0ZKpLsSzVtqVrttGe\ny9yGCH4d+bGzgUwzkzZvKrNhohz77ZvqTusp0zHGEky1KXmYUz8VuJbRMg92naKlmBfaH+3b+QXa\nLa/WV3NuWk7wVNq+eahpx6onzuRpdz1F16wC0sc3Ed7oz8kFZyx4dw6Fr5YZ7pCmknpWTbLHrAnK\nk8uuy0qdvFxpgm1OAKa0ghIFt6Pm5UvrpbSUnlS4/KAqp4SSq+fEd3qn/ttuhY5xgFgZqjxcLIE8\nLPutIol4V5Y0O/J+hS7nK4FWtQKK5aA0qschAQOYn3msOi5lE0qw/QppSzgn9EPwS50SlLACaIO4\nZRUNYSu5AXBjrl5Ta1wJI7z1huqnrHm3GTvKcGv8J+tOq8lpjW17+Ht1nUwk7Zxj79SYvVVuPbqs\n16LHJq1H1o/eZ9LRLWR8+p4AHId/v4aVf9doCKsuabCQbB/k6muyLeC4teDRssof1HiyEFgcXkNn\n6TbFWu2JgLjFQiio8tdSFNtaRxMr8dgKAPgBqdwGjvthm5yK17+34QbS68thuZQBo+qke+JabeX+\nJ8kb4/0Qy8EpG1L9kz2lDLNaQTLSlHnw4Ki8T5SxFhGcByoB4J/pORfsJPHpzHgoDhTSDOJa9c/B\nv4rJvdNVZtFV/BWrMbbciW0a5FZDX+s09jGbY1FL1lHoW2ihhRZaaKG9k/ZACJZ3s48uPE+9TeeY\ngDZsE6nY7eQB0iNUXlF27Er1crRsz39gVv/cV8rsPbQT1Tc2s2ywbarr1R6vnmMLH2YZmYQwhGH/\nU63yTnAxK3JaR9qxM+kXoubjafcYxr0Vpl3qlm+r7ZrikRMitcke17iuhU1Ryy/nazLC5uiY0lvL\ne6+ebZurbWhORa3ZVBuHzZG76wtjDY23SXcUVGsYtm0wesvLevdluDGkntTZe+6xbZuyl7braytM\nUm36ZB/1T3YC+rm27q2wmj36uc2gZtE0OmzKGPSakQ5zAExpZSYrpj331vJGkncmM6Q1aB4tX9rC\n+rRnIctOxpb66h6T7eklvXKnE6mtVSGS5F0BT9M/DK1VaNvr2t6OeV0I5z09JYAMG5YpsoWubbSA\nlxbaH23bQloDHaZtBhmWc+rEfcvO2iC45WTVnK7e/iysjGOTmCkA0swCTypY5VXYLFcjEjZD88kg\nAUlywcWIKqdWX8pXXCrBTTp9covyYq89yDyjefH7cF44UmJnpF77kQ1x7SUEzPYQLZGfXK3UTljo\n13LKsTjJxdJWyVKQv1D0G705+E3f8rkHWZ3rlMrbxXP4sO4GjORAY8AAEWGgigvIgXI/Pg0E0Ly8\n0okc3Mht4EicnYiT/KxzI2Sx/itCGrmyGutg4FQAOxCHD8DhAXDKCFwpAEySajvVaWLVuoa2mjIZ\nbsX1zpHMGUtbdWRKXovm6jrZiCpnHS9J5quWbo5OGT5nuLPDGN60Q56pcq/DLZkrAq4fQEsgZIBB\n6IPUeYAHKB4iByitFA+ptHrSpHYwGEoabGWstcpTZHcg8u3nGLpg354GAJAALKUBuP1G6QkJiGtu\nqzfBIN8m8QpF5RNgfdw7peKxeru8v5HDdg3UzUE/wAh7JSmWkp9TOplGT4q4IpzjLA+h3UZZv8dP\nn+FKu7WctNoSOzrSq/DcvPqS3iYuphNbktYaeRoRVnCiUFCUxad0MpxSnHVMkdoRuGVfcd/TqWn+\nHpum5MyJm1seCy200EILLXRCiP2d3BPRnlnLlZ32/Ms5ifkkPcbSZ/Rapj712IeXVM4czQErlZ/6\n7DmL+rgqOQnyM530Rin671ba2l3d4tLGnpF2smp6ZG1/HM3rWenLpgBC/JWjpc6aLDCi9RxAJmbK\nQEug5tF+aG8xWvItf3GO/1jTTci3vZtrX83X1vK03Vbc3DQ1XS0ba2nmPhtr3DFFUsfU5Ns+xgRT\nz2YuXZ2TZdY7Vn15Z8qtyZO6WjRnQmybiTgr3Tb5lW1Qq77X6qlO22pTtrFZd4L6GczJb+v5uYl4\nbVMrzKqX9c68lKPm9qaatVpTF6dnSJvIHlw5p1UHItUf4JRfZ28JV/cQ6zSdnir50vYAlK8039BY\n8rgsPp1d/CFlLsPaki0/So8wSfU2bNuYlZTy1JLZ+7y43Eua7lLKl7kNhJtTVxZa6OSnBby00NVL\n0+NyT9s6lkzc6+ht5Gr8EwP26v3Q4OnKQ0Ww36A+3IZruS6zvA8r58QshX/VDtH5fwPzuuBWiXyn\nbeTqQua4CG0AFLsf/hNqqgJ+wikVMcXwkriTlq5MKpO2nQQGGHkAlAtVh7CCXIWp3AKOwkY/yV3N\nZw5SWPmc06dWdrmkszGERc2lw8slYs1XyBdHODYE/+GUkDzzIVUtXiiCv5XWfK5Ur4ziTiaX/pIl\nj8FGVkYYvCDf2xU82AHgfZVskAOvArMCaARWYVurYyvg1AHYCBATAPwzgP9f8VRKajmWvfMY2853\nHLV8mX47p/qaTUfh1vfK3EV3T9oWT2vII+n/ius1AacM/jgc0vvFKy+RXF3JAjAxcIm3fwOydzeC\njnR7ofn57ER6blcGg1fJdJpXtFdyEkO2jT6DiB2iBO8wiCm1/vavpyB4uNdwWSEB3HYDFEFM+XA+\n9St8r2G0JDi4HxgL+ewekTinwnCm05QsKGfhOO81CK91n7aP6/n9/ZxfW5VgrDItucATO76YOWSg\nprqS4CdRvLcywc8/+2YUO1zNybJUi2yt1jSHdGWsHZrXupcy5+hs8e1KU3m6NhG3l1c31ZuIhRZa\naKGF4sxB8pfyT1jlPIr+8ddRUJotIBXSN7ao+2JytqT2O/o8tJVP6SsOhrw5U27Su5XeLstRP/lq\nHNVpEpM/5bLfgy35SodG65alVQWUEcE5/ZMD5Fu+Kb8pm0MLPm5hHxlh+5iUEPKLe0uH5YP3TGxY\n/mKPj9zS20u7+KmWDS1bNE/PhFetTHVZ9VLPuKFXRnq99vc85lBt4mwh3bjacVNUdo7T6fXUhCWn\nr5Mr5Wiqyay1OVNy5ua1V0ft/W21o1Z6y84psni3rQ8NFXGOpRIXyRl8cm5F2eIAOOfi/B9lMbY/\nYzU/0iOoT1G0Z8KmPAi72ZtqCDWgRgOIXOSoVZMyP2WFkd6TxWN7N3UqvbijITlbmYdsR3PmMVOZ\n5Pmsuy+6bC3uawkt82DXKVrASwudGJpyloB2HzBnUDDFW3Oe54TV+q2W7qkBJN9QhdEpV4Q/eJmO\np8vuHQhwrgAfETl/AGFrFFfaRKyb1TixTCYBAVaTP8r+DpKyK2uEoV2n3L3Ji1ze84fa/Lt0jfIV\nLKRN/uOtX8spLW+ZVnVojZzTJFWaxvNrKSXo0QhNuhTyPK0whmUU8r7a25o+TSfrRhqwciPSNFU4\n0wojOQybMe4uR7KguIrJx70C3EZMXrUOvUQRVJxD2hbKKV7+js/gpo2SzWk2yAENodBoRFwNZj0A\n4woYXQBZOOCAgGMEPHwDvDQk++fiSSy00EKaBgCHKw9gWpHfLm4dto0b5MpLDELi/agPENsQHKC+\nGpNc5Ec23mvk4CTdqJOSZxlugBxNP8RozxxCVzj4PsHvrJAG4voXSXl/khvLuEv/GcYboScv7Gsn\n/oa4xl8a1Obksit5J/dvrzXgJdm/Iy+nOyzAUxpIU3bvvQgtN33uKtwRJaeHBrjY68rJEwYmjSAk\nhJqwWa7A5EqPI+PjbeakrDzzvo8FPHBJ/rwPfI9U0ayZrXKGa5qki9JKn/mQRph2x1ryajNbtfha\n2EILLbTQQgud5GR1hXKuIgewcGzZ2fIwmDf1tfTokHKmREutU2tuJAfD19LPWX2JN9Wt8/TIrU3j\nTedU5q3MZc7b86O8ltNSyk35nAIwtZy+0plqxdqWII5Y0g/nUo79nI/w1cM2xkV9JOPSmdHT1Ovv\nWvc1vhZvMW+6I+mpQOta++I1O6eIX3h7cGTbMmUvp7dk9OTJimvRnDz36rfk7uPZ1spZ81xTqd4B\nbJ8v6/2a6qgk375pyh6rO94l/1qvlGXJ7NEzZbdVhtbYHZj/od16NlYZWXy1DkryHsUzD3LJmJIh\noFj4WhuZ/9gt/ByQIL6BtStImlvL+Vq9f95FtTaynX5Z0ncmTPLa+sv5QMokUpEu169l9HmqNU8t\nhej5QtumXi9Oy6n9yFFr2L1raW8NWHbjlNlW64bystDHQgtds2kBLy20P2oNwKwPF3Pb0Kk0tXbZ\ncuQsOy2+WjpLVy1dLxGQA5daIzBCttQzR0vHTNhRLZoAiPJbhgl5ysl3FCYtHLJVmKRT4K/YpaKg\n2gmRfjou38Iuz6+U5q99J522b5PmpS46ZTW5KqV740PYaZS26gmZWnya5mGXMHdwXWYVZZaw3tI1\nkjJkOQEbuLhjWjp4PSie5ExlkEpJO4gCYhV+ZuDYCXcDxsGBnIvfUv2v8kKZGn4PEXzvMZZx2T2D\nBdg4uYqSz2DiZZCSnLmVW9VdqXgdEihiI+SHOOeAVbBxE4BMRB68tHbAyvkVY34QwLAB/hx1ar2V\ntbA58XP5JH9rKLBPXbvK2NbOo6Rd3fht028zJ7JP3ta8SU8XexYFsBL8+7QaAogprL60XgHEqyrJ\n7eD4/dRhrJRXY5Lbx3G4BC4x/wrlCkt6lafawel0nx6OAlMSjnEQg1qewIi8shdMpcbtvmz5GbTk\n4qecIR5jOPy1/p33oPpP2Q95+WM8U9A/iPQupkKMlxLLa2sQbw/smX8QfNrlKkFaqefOf42GIm2t\n/c1ttu4Le52Sv81KRiJz5EKJhm2Ao53WqkrV2QnleGU2b+M0C/nSLSjdA+tB5XEt+bW0Pfxz0i60\n0EILLbTQSUitzwTs3+RU96LqnzPmf4You1Y5SyE/h7Q/2Ux5IE75K9b62tZHu9qP3SRfCfpKsxq6\nnG3KnR4511RLk2/I3DrqAKy6NQlwZuu3RmRt2alOtEBTUk7+NLI8OZ0+HJQPdzLrqExn8UUTevw/\nK/sE6zd/9fRlJSwHGFP+b41n6nFr/fJeV4CWXP3orAHSrn50r/8ur+em6eGr5b1GrTK2dGwzcWM9\nm2vDmEWPB2vDz22obITK69oQ1xqnWnbqdFNkvW9TQ+65ZyttzQ4rn0x156CM19etsq7ZaJUtGuFS\nxpTdFu2jjtXkhLaJ0mUiY5X1WCQhrFYETNluFRMk+/pk2nTC5DNOHaW+ZHda+3IOJQl178RFzrkP\nUXpN/r61F4vX0uOhAq1V4nsph3K381YDTfVoqZWdboJSGQFQz7amt8670ELXfFrASwvtj+p96f6o\n5qTMdWo1b8v2lkNXG1i3dEsKW7zZfJbnruIdAP5oNtFnO6cmFkjGUVQXgStqgJ0ATH6GwjmAKP2G\nDLCKpOaS2G5Krbgk3iXnybX5+PRQKVrAoKn2aHNOB0/xP0Xd6eMwqfhUFg4IH6b9SkhjZqdrlJlt\nhQNhA4oby3ld0jUiQOiL+ST/3F2YjXJDmC51Dm4I9cUaKEnTGEQ0Ch59MADhQKXXwCfm3SAHLblw\nfwwewAQAx5HATtbWVGHll9UBMJBfaWkzApsBWK38/aEDhtGvyvQDI/BoB1whsqLnKo4jYaQ4q07E\nWWNsB+AqJU8+G8nL5+MoiSBXasnlyTgdzmTN85GyW6bTAz7dRG1UGolPkzbKtJxeLq4l+TjcWvnT\nIce5yfw55DazLEkSy2LlSzado0oHIw1QLtgDEW/lT6eTbZmMs0jiePh5y3SDcS8XJtKvrJQly2+N\n0gaWeYi00tIpB8DB4I8B/h1iENP6EBgOUb6TDBZai3u5MpMGO1nbzpFxz2EHKh1EvC4EkZYgJiDk\nefDhbnC+bQyH73Yp/vIqA7BSElxMmACxfXfVpaEkbzKGB6+A3JiUdfDv83lQ33JmUpxc2ajlrNSA\nTTmPPEj0tg72/qHaJk7rCj796PJwe4WnGnE5sp0OQPZzPKHIOVE+IpycX8GP47NfQDnrY51IHgop\nbU0XDrO712VF+aW11ao8aluxqvyYZHVQNb5eOQsdDXGbeXXTyWDDQgsttNBJR/k8SW8am/plWMNx\n9hzzcQrPVjgRooE47HHVLStBUNaRy+8tEz8vwrD83DnRNpX2JScmH8fVPFq5XgFz9s8OWfmu8/Z6\n322NrWdTgsCEUxf9UUuqdP6CjhBEhl8p5xelFmr5kFNU82EtmVaYpbfm31oDd4u0/42Js/a9Wzw1\nXovmyq3Z2LJ/Srcsv5a8WvoeXT20Sx3bRSeuBr37osYQs7uxa8nrkd3qUFrUk041ddX8zrEha9gq\nZ1TCLN21cEuW5pN2W7qm0tXKhWkq3uKbKmsdZtWFbZ+HpDDtlIGLcqcnmZzN/4X+nuf5Ims+FxR/\nk0a5Z2ObyIq9sXOquz2TqGxS/Hl/X2ue6o1Wikk2256cnnfspVRJJCSn5cVoQFaNbHD8lOcqLSOz\nzNq2Se/S9sAsS+s26FSW19yuc5y+h+9aQcs82HWKlmJeaH+kB4Rz0slzD3/LydbOmxUmdbYGIJbs\nKcdbyml9kWfear6Fd1Wj4GwRADe6uE2WNRaPa/8oP4OU88cr8xQgJoSOnRwYwJTgOMkgp66sx9Ei\n6Xrk00e+Ex7BmBndtScnCHEznSTVp/cgHtaSbMyvaw+lRLQnBI5fRWMTLZaTX3KrGgmu4ucyBp1y\nIRD5UbR9sCPjlzXyeB7pXOqt45J81jEOhEHs4+zN8yCmWD9qBwMJYISzkRwmwU5WGnlAnXmlp1HI\nYZlrES5lBxDT+tADlrABaAUcc8BqA1xFHozh4Kv0gfP4qI1SPwYVV6ks8fUaCXQks81xG+TgIid4\nIfRB8EsipJ3zpAz5fktglbRD62R5LvBImdZYkvkkWQvWyPzVAEycP2m3bv5rbYRVzZgk4Ejbq9NJ\nPo638lzTIatyzU5JshwkrkY+P35dVkYajtO8Vj0CEjYIIp18jhJ0JecJVsgXN5I2HIMHLhHCdovh\nfEAeuDQMwHoNrI8BxEIssJFGVUmAEqcbFY/m0+0Dp9Vtz8qQAyFLVzTV/jjZFoJimAsoYflZgkGo\nsszKzxYSZNRu05OM/EgbtOYTBmwDRPrUN3CzuYrpCK7Ypm0OSV1JjrRHgnd1XlIhS/tSmOTPvQG7\ndZDLLus+U+rPKw77MY4TCEML0JJLMvz2ugB/qUkgJwKvTV48m+zBil+Z1V0NI7/ivpoG7XgrvCVL\nV0gZrsFROs1UmKVn22OhhU4QHT9uwctLWq1WIL1P90ILLXStpXKclbywFpCnLTM5CXZrokcquT1W\nSI1bd9kyD0mXEzy19m3qJ1gaFjWnE9dAMG+TlpBbJj3C9qef+nSEnuuq28c6KbOyVRra29vFCTLy\n5ex6yMoJsH9HqVBNLvCph2dWYW1DzXvvpnxgYPt+veFsTIuv12fVtlnnFlkv3T509lZV68WxbNJ2\n9MZP2WLFtcZFPeU1ZV8vWWV6bXLpdH50M79rXqUMqws5CvmSavlwRlxvfkmdWzw1stpPXecrQ3+T\nR9ve0q/zbj2LqedTi6+VtWVXLXwu1TvsZA9PzXASh2LFJFdcIPaNPtilAJYJFuQCj5FBShns8SDs\nLqjcWqyevg/YUi+0ZK2Uac+8pVkup9LkXJbuVvfjJbe8ZlvL0TTO095XWYY51SqpfbgiTErSPlk9\nz7IsF1ro2kQLeGmhaya12mOrD6ndyx6oJ01PmEUMqJjSEclNxwsH1J/8RQQxcfps0EBhRZ3pEW42\n9SIcdhc9Ou4ak0NRgnvK0ZE1Xsp9Tcsjl+dyPQfE2Ny9YbBQCUia7tZZEmE0S4nzmp9J5Sffpi45\nOrp8CLxVnIOHQPlHOAjLJa+2dED60MurLA3hv/xITKBixQgKvJuoy4UVtTA4kELSxEcvD70Kiqxe\nXnEer7eck2gMBjDIpbb4mlFCMnwlwhugieHAr7Z06ghQAC4N8Csz8a8oRnge/jzF32cZfLQKamRt\nYrPXRpi816sj8VOUWCsmCXaSbwMvTKVl6DguVllvNcCH+dgJ4JWNNNXGo/LxWfIZTCV5tDteKy9L\nn3y0EHycd6mfryVYSOrXPJpqeWY9qwpf2R7ldml7ZHqJqZHPTYK9WKYsB4nlkzuhyVcLKl7aymUr\nMUdSzhphS7jQ7K8JOEZ+oaODcH3swAMEi9WSoO7ldnFUCdcL9eh7Wcj8awsrHR96FafaA5N9HKU2\nMJ5BGKlsO2Wvx9u8jWCgLGXbv2lIbU7J6A3yreNYFlAO3l2mn7IzkFZpKrUlYFBs90PqpK89UZLS\nJvnymiXkkx+l3hKeB1CR16lPXPU3MbcvTTg4lSzs+IbizQ6GMqB7DH6UCzNg/hoQDyL4YhTD4oSE\nk2XqkM2qFWT5QJw9B3PN8lYhSVHOuG6Rzp+WOxUmTXWV623JKPssbKFrNF1xxRX427/9W5x33nl4\n17vehc9+9rO4+OKLcfz4cdzsZjfDN33TN+H7v//78YM/+INYr+1pjU9/+tN4xzvegXe84x04//zz\ncfHFF+Pzn/88Tj31VNz2trfFAx7wADz1qU/FbW9726od//iP/4g73vGOXTa/4Q1vwCMe8YhtsrvQ\nQgtdYyn3O4bJTsjugPM5FelJWfFSWhsspb3H/o5Szl706GofyK6tUrHS1JwVQnsNzjLXgDOHDG1K\n+q2hRvLQ6/nqs9Dw+WYS447KMbf0z3Nvl3OW1TnnwpyR8Nr1EkvhLFd353Fl1NXrZ/aQLJbe7eM4\nnfYT56TROnvy1JoUQiVuSr+lgybOLdumwrSdFu82z3aX+qDHFjVZrXHIXLLGT1P6T2bSQ+arS581\n4dZKK6knrcWr3xEOa+mqpeslq1nfRo5lj2Vb7WyR/kFxi/o6y7osa+JUx/e2zRPxFORl89NyzidT\nSyEuZTD25g7IfswIxNXX68aRUObneni18LaHlg6qhNcyr7/B5TmdLjDLNpukLyrzXMpseUj16Zo+\nH2oapJWs2BbIM52i1nHPp+Qe2Onz+ec5Usko44UWumbSAl5a6JpBVn9dczStcKvP0j2v5rHuLX29\nZPUcmQ5jVNvoaWQyEgEZ+Cd830rTXM5/8wpo8SIrxPJcWJkARX6JXIpPSSAlpkmR/Pd3zMerA7G1\nnsOjVvLpoZTORW7PMYLiWhaJT068SBtSnDx7oM8mS1s6fDX/m8IHfnaL+LyCU5t/kZDD02wMLLJH\nGLwmDjscDHzio3QsxwBTWokyyh3GkNfwAd7XDRJbx/HH+qCPQnkPrkSq5JnzJFdG6vFhJUJCmipn\nFGU4y5DAJ4m2OEA5ANOzkyvglFOA1ZXA8ePAlSPw/wJ7xGgRlydwPLwCDCbaoNxaTr7Wx0W4jmdT\nRiGPs6cBNIzF4iyMil+S1KXHnrW5JTJ4OJ/yngFZen5QNoUyfzJeA4oGxaN1sz161SnWU1uxSMri\nMpJ4GT1GlmlrQ5kDpO3+pP0MEtJ51VVY6pPlLrdrgwqXeB5C2j3RmpCXVVpu9TZWeOSrUpMhd13j\nOrmiEld4SMCpAI4NwMEKWB8Aq0NDmfWu6y3hOPN65SRppC4gKbPWF1vhlgxK7M4oKBeWKfRgJh/v\nJzjEADLwbMiDjMpaFviEYboNlwP5/F3TGZHtOcU2P61zVC6ZrD8XIXLmPLk2WaOZX35y4rMEOdky\nS5dHaxkyPrts6pM9ebmSkq9Buqn89LsZpVDwj7S/5pJMdo10as2ePqmFNC7pcbLhaJITjYywS6eb\n2kbOSlfzSQ0TmvEVs4v7Hl27UM327rK+BtJ1YLns17zmNXjKU55ixl188cV485vfjDe/+c144Qtf\niDe96U0466yzCr673OUuuOyyy4rwyy67DOeffz7OP/98vPzlL8eLXvSiqi5JwzA0V1YahhZQdaGF\nFrq2UfLMkrcx/XHF5rC8HPYoACiPqCWtPodRjlBq9uQ+m8UnP2VNb3zPo9o6lwWyaREJb0vH5FZD\nPBtLTo/zpNdCKK1nWduCmXpqTpnEWgd1qix9SaR5QmmBGCfrCYQR2dZx7DtD8yLxRGH79MdqD9Ki\nms6WjFYaWYVrZ52mxWO/jnmYnLjoyfccntY5NUHT1z00d5zRkt1TjruQNaF2TaepxmV24xNIThtM\n8Uk9uk5PPUM9+dej05pbssK0DfK8C2lZDuWknObtkdfLX7NjH6TbKBlWm8bS9uj0mq+lU6WNcyxA\n1rdZReaAiEtK0ywhlgDefkKCX1LTOAXyEYa58NPyooOcTAm2KMtkvKt5ZYnbZVbnlLpj+6VLHqT1\nkLX8djnkeSiPHKhlpS+BVbs2yzL/NVCVrjd1mqq0bZKedq1O5fO8bV26Sd3X637S0XVgHmyhREsx\nL3TyUrsPy8nuU+vOUy28x6ZdSPaAvE5zZpClpLNrDrLTRAOF3d1C+ritnOj2neIByxAeICznKJ+g\navuXmpNXpNgUDZB2yZLu3N30sJ9NdDgsgJQMrzlluewxc015M7e8OlkrKQES9uRE6lV0OElopAA2\n4E3nwuSROJPYSMfFiT7t6CHyS3u4DPKDkLanS3mRNA7AMIZQduQpOP4DQLW9wKQ5jHbhgpSrMFm+\nqpU1vQgHKVl6dRe5egsjgyTSRMihIGfYAOvw+q3JbyE3OmCkJGID/x6xuNF5gMcxABvnt5eTtdIJ\n9cdV+KDueZUkhxKswyYzzkM+RylfzyfJora+Y3MxtaaM5epRUqYEa8m4ETnIR9Y/zrNcgYnJGrfq\nKiRXRpL8ekUqqVeCwLg6ZE2u4KsBfjh+jRJ8ZZGULVev0jiZmv161SNdV7QevuYqrndG47KjBp/M\n0yH8qkoslyjYROlV47RrAAcDcHgADGtgWAHDIUCHQsmByJBMaK3MJHmsNoDjdcatw5Khl5LS7YtR\nvn7yghJYiVJP4ijVAjl4HmNplu+dj5dAH/0k05GAOgxr5V9psT490ZDgu+WAPofMSrtb1wyFYv35\npIkurTIthA3M6RRfKqchS6ffGFJp5H0qB94Or00EV2ztx8ZZEyIc78QqSzFOKYu/NncQoCQxEaON\n63Lpcjt8GtGa5QXbdsKmVOiGpmWfFa8rvA7XYVrniSD96i10jaFTTz0V3/Vd34UHPehB+JZv+Rac\nddZZuMUtboFLLrkEH/3oR/Fbv/VbOPfcc/GhD30I3/3d342/+7u/M1dgIiI85CEPwQ/90A/hfve7\nH25xi1vgX//1X/HmN78Zz3rWs3DxxRfjJ3/yJ3HGGWfgUY96VNOmN77xjXjYwx52VFleaKGFrmEk\nIUvA7t2NDTpJnlnuTZWppWdVJx1rcVvySbkNLp77jnIOou7F9QKASvi+TjH1mbH8KGTnXaea4ki6\n+xyf3NvvJEIGkPeWTUPJHFE+B6iFcm1jH9TlTmDMq0MGaCqyUK+m7az2+pstqvm1c+WwrJ4Vn3S+\nrQG9DKtda1+fz1bZ1sLm2jrF17puhfXytsYhLRu3GmvNlHGixy5HQXrMWLu3nsu2emQXto2sKT1T\nMrUtVAnT8jTv1Hi7VpenzpK/x/5ywepp22tye35r0bLR7vD68lLT0/NMa2mFDbJ4i2sXmvMRcINI\nQCT0prBcfDkP1vIuHCiu1lTrJqe7ztInnAJOJatKvvQY2t7kFPkuscy/3b1bfm1JlkfZtmDaxrrn\nTBlnywue8+qnvGtfN9kieXog6/kPMYFpT3uZ+Fro2kULeGmho6MpB68n/TZ6ag5WbeDIX+hrvVXL\nwa+FTdnLZxcumuk7hVN2Cv4Wf4qEWL0ywVyiG6Ud4CjLpS3mGmZ4sA6wUs6UBg/xfwYNjcG6IeMI\nNqH06XMHNN+KLV+DIXeKKEud251sHJC2iOOPyGO0Kf+4K0swwZnkKIEf7xBzm7gYTGRNtiGGSFDS\ngFGsSiUdHcrs8Cs6pdWXSNhCcLTGxiU5I9KypD6//lcBQ/x47+AGApzLV0zld0a+OxJcJNEzVDkk\nMEG/j4OSyQejMiQwKS86jyrSK7kIXiIPuHBI45NjA3D8/3lQkrWo0+g8L8ivxnQA4MDlICJt5nEk\n4BMMHrkFnSRSaWRRanBL70pLchUktq1GrI8xJWyDtpHlyp38pP160KWbPXmv3Wt+fHLFKanbaq60\nDHktQUyMq5Gk5Q8iXW3HTyaNvwFyEJM+sz7WqYFFeu0etkMSGems6t7aUS2CpgZft1cIA/nwTqwp\nx/0MAA4OgCEs0UQrgNYAMViJK4M8JKDpwIhfC2NqQCT5IsqjxmdlVBeqbmPCQ3ErP4FRbBtHBDek\nwSCDYPjdGCn9Dl4b4PnLp1qCkSDSpz6CN0nN3+2cD/GZ572fjnNZ+nzQq+9Zx6jurcF13rflvZrM\nZ7Lf97cQ4VY7WgKV5D0h/529LtvavWF/WEpJA5fgQhzI94W88lHsiDndAOdEn06UbZ/ht4YT9ULf\nt0gXHhugG9K8oKYPU/aMe0t/S2atczpRZNm10DWCfuRHfgQ/8iM/UoSfccYZuO9974v73ve+eNKT\nnoTf/d3fxYc+9CG8/e1vx0Mf+tCM98EPfjCe//zn4y53uUsWfpOb3ASPe9zjcO973xv3uMc9cOml\nl+KZz3wmHvnIRzZXVlpooYUWyil1MP0tRz4HYAOWrDQU5gR4bUfNOw1a2T+x99em3BOdAiblMjVf\nmYrE/+Sx1r3XOnnN9RQu/C/H8O0S6AExuUxz6XTZn6lSLXLBR+ypAwQHOOd/T+nksxFlRi6fj5mU\nqa5lOjUnk1HLX7UU6AkGLceS20vWoF3LkHmp2aLtasmzri2/vXXu0W3pm+K14nvl9cbvSq26NUVT\nYx+pQ8fvondKX03/LlSbLJNk2SPf4bl6ptK5ifge3m1k9KTRvK1npWW15LfKU7eXst5RI76njGv8\nLVtbUxbaPp1Oh3dMfcx6llNkPC8X7MgeAal4cJ8YJ4QQATCO02mfJO+5WQ8BYFFz/RD/P813WV+O\nJEmb0txcXqBOcc/pHuveR2kX343ZXeJtdfUnoruwNM3zFFN5tOSX85n2iKEPrJU8wVyfXWLbuD8L\nLXSy0gJeWmh/pFvGAX0t5S7OiZW2x6GtOX1TsrTD3+OA1SjaQPl9wTCRnm3RTrADGClOQFj50om0\nBL+cToUo7xizTrHIc77lmkaEJytkOMUwOZVD4oFE2yvee74Ck37E+cpLTunvmWCaCssBU9JZBHhb\nPLY0t4dtStvHWWOJ3MmxXygXpLMlyRmUTqXQSwNG5zCQA6+85eerHEZCqI8OIAZeuein88pF0Y/m\nM6lDLp+j46QMHcYghbURz4/PIaGC5ApLrO9Y4NX7fonC5ZWUQD5Pa+dXkXFXAMc3CcQ0kgcrDQQ4\n8uFsxho+nQVgGlURsMlyBSM2ndMT8kVmtEwp6xD5Fm9Mo0rPMmV6uaqQ5gdKPJmWa41D5U5+TsVb\nbxk/zqkt4jh9rZVqdTH6XeJnYvHpppTTMOirNicgdz+T1fQAOYBJy2VaG/HWAaQ6JF8xaZfG6NSw\nPFwnVuTrddgx0ocNiL9E4i3jBgDrwYOWhgN40BIBtA73ErxkAZgOpVLkaCiJjlopOTJcpiERXut7\nNeDJAkep67gjl9g+cyQPyo1xbkyrL/GWcuDt4vg55Z9jUlssB5u61qFIAxXLTy+Bp2SvmuJSb9Qa\n/PqUsl+SfbUOsyVQce2MOIjc+nc5gY6kvXlPn+dD5t0CUWlQkwy3wV1J4yj5pJuhHkIm1yUJ4tLe\nCk7e63irkc+OevlHQ6wt7npINy4yvHYvHS2dxx59PXyt8rDir+u0LJcNAPjRH/1R/O7v/i4A4IIL\nLijAS+eee24z/W1ucxs84QlPwIte9CJ85jOfwQUXXIC73vWuR2bvQgstdO2i0jPpJz130senNUpv\nZn7naAFieizXXu9UWgkkd6jnuacs7Xj9mU5qzmefpo7SnhLiXzoltn9f2i5/mpRbby2EUbOrzKNI\nwOY1icBlBkK27RtfkoOfNPEDoRjJKy1RzR/TYVFgj12Cx5Kj/VRrWWntK7b01nx3S5dlU0+eajw9\n/jTnscVj5UHzt+zUYyCrXC2Zc6+1zb3UkmfJ0eMX6+WZ21T21PNd5fXwb9PR7EterSznpGvplXxz\n9VTG8FkYTfBqvdqWXtu0fOv9stqWKXl83ZtOU41fh7faCRnf0l/j0XXI4tuhrpNLXRVR/RFw2OgA\n58K8l8ifo7wYymbH9gpYr5VmVj6irUlKfa6wbpMGCklvolW8dnWzNTvBocN1Hurem3wueS61H5Xy\n0UfJhm0bTzutVR6WrS5yl3PHtjbbC5773HludV9dxklHyzzYdYqWYl7o6GiX/mGODibtjLZIzwK0\nBt7akbIcq5aeKTKds/muTkwuV8kR9sbLsKoOkRNLWNZdgGwiiuq2Oc2b3bcms9L0T/7B1MX/5Xic\nxP8BEt6gQUsawKTj8o+2vovnDeNW0KCjlGaIaeVKSVyO6SNzCpVOU0pHYYWnqYk6Ly/JTo+WdadV\nmlyYbdAOzMClTITRVwKQG4JzPgK0giMHNziM4wgEp30APNhJLrOj96bSEz2M/JCIC8k7qHS8xM0o\n0jojfiXitSyOZ8BEKrzsPSMCho0/r1aAG/0KNCOAYQTG48AmgJgOKQCPnAd7SMDMGn4FpquUmbKu\njipOH4dI76YE8+ji5GLRRabT8FkWNQS/5JMAm2wQh5z09mka+MSAp9qKTrqZZp0afFRzrq3mmXEn\nVpwlIywYVLVd5l/PWcjBrmWD5ONDArosmw6UbIfyNZHp5IpbMsxasEivFCXjVvCrKpE6Vgj1m5Ku\n1QCs1gCtPLiPwjUDh4ZDlKssMQjpAL5yc7w2VoOXpPFxqadKGsmrV2KSmbbQW1DnwEcrfp8ovCsE\nRwPc4EFMAMENfrDpaMAI8rxE4hnqyYu06pIrjCgHmjXKmzJvtAbxcA/F/YTL9MpBM0tMPXL+Gcaf\nR8iNU6WMfFBeyi/jEOPSWQOOdHuXT7bk9snyzSXL/jiFN8uWHKo7ZiiKbQ2J8hspbRcHWUbphkS4\nvO7TWLG9Z9uKXhU99zUfGbAzZd3LDrIWP5e2SbPQtY5WqwT9vslNbrKVjDvc4Q7x+sILL1zASwst\ntFA35ePyeVT71KTnTWqfoKTe9kyLbXmaBZJSUehHxpP48pmSZOtUHuvWzvnEZI3MRiVZz+RMyyy3\noKMsNtefl54lzf7EWT613NOdAyRrUdvB8uMYh7QlHM+xhS3lsqRyVkvVP+XIk6VyrjPcqtj6MVhh\n8n7Kj+3RI2VYebGqg/aj81e4n6z8aPvmDTJyqtk9N33ruhY2dT9FtbKp0bZlpOcWZdgcmft4pbU9\nPaT5t+mwavq1rLk2zunIrHffklOTPWVTy/bURLbl1CYA59BUXnT4NnZY6ay5s5aMmn2WjJaNveEt\n3Zxu4vmkZo5iAAFwchn6cOS/JSt9gbzp2eWB1+1kY6wmSIdYr7meO+vTLecv25Sa4FTwyZptDym/\n34NrkYPlYdkgL93dTx/2fG5ZNk55mfZzk/mljMfu6Otls986udBCVxct4KWFrrlUG+hMObYyXO/m\nwggBLVen38YRt2xlAEZhZ99IiPif41kC7hpF9yvj+Cub805ZNoFCPh0I2RZhLsRJrfk4XV7x5F1y\nMGSInvAZQeIjvVOPMKVVhQOYMpMbUAMw5bmQbquuPCTsy7emy0FP0glhm6WMtPWcTKOBVCMGDPFr\npJ4FYWc1n0ojoVuXjpeXT3hxHsZgl/+s7j++OxcOLlEHgIbgrPtJQEfOVyNZX4+jXJZHHhpooD1A\nRsKQuGY+CWDicI5bI/8IGpeIqdgjlzkKe7XRgQdq8JJI4ZWA23gg09p5ABM5vx/28RG4yuVvJmdn\n7RKASQJWXBJvOrmy2QHy7Oo0gK1bbgMna/lK8bFcKUuv9CSvN4LPAtKwzXIBHL3alCTOr36L5ZZu\nrd8gMC/rl7KsMoLg1bgWCWCS2+PJZyKrFVNr/K5xMlKX5CfkqyZJEJbcok5WXWmHzrf1ull5Zr2r\n0L7zNoh8vUZYYWkV5A3qCMAlPiK4aC3OvEUcAwitlZQGFdZakam2tJVuW3RBtfbU42OtdMKvtOa4\nTaTQn7n6IHekASMGsY1cKvHU1loOQN6/+7S1GpSGqceztOUglXX6tfy4z9J8JcAoBwbJ1ZFs+8vP\nOuWAPZ8A0DZTcV0+oBQ6GnKkzjwPVnx7oiIqcvnZP/+0TWB8YayGmf0qg5w2rJuEPNaXNa62viZp\n23V4K402TffnNZmSr8eWudSTflcdC53U9Id/+IcAgGPHjuHbv/3bt5Jx0UUXxevTTz99L3YttNBC\n1xXa3yer1F3V5i9yTyl5ic7kqXsmczp9W7/0HlsArLJ0eCRp65kqy3wOSh/IzlpWPhM1n9L8TV5O\nyQuV3m8dfFTG5XM2s2xz8tOkkEkQvulYyE7zUxDPygERtMTrA6T6RS6vl6TOWVasrGe+cy0/jfRS\nWcu3q1Xjuf7gHDt7fFrrkdfCLD+7laepc2/YNr65VU7blr+WdRTPrCV7mzFDS+cucnvk9TQWFs+2\n+ezV35o42xdZjWWrAZ2yo5Y/fd3zvI25heKs7Z2KlyRt0vGtfOjnMlV+Pc9uqnzq00rTMiXV0iub\neWpGmpSZR8k74P+x2eN/YvtwR8juPYfuCSnvcpXZ27xuCY5t+1IlmFp6Vk5YlodJfotKz0l7fuWR\nFgAou6x63vMYXW2n5vrmUJ8NuzRUWkM+n8nzsmVdmH4xpsBVXsqUQ7TQQtdsWsBLC+2XZo+2O2Wi\nQ+6Ubi3HcuAsObW+u5fmOl4ZX0eGggeW+brhJoY5gCg4YRQSueCYBBXESHMgoM6trDsQtX4N5qdA\nJEo4dxYp48xzQ0gumsv4Zeds+/MUz/XOOX3ETBM1KTxN2gwRboSwVpGDi/v1rqB/EajBTckulscA\npkHwyXyzs+fXYRqz2Dz/A1zYMIwx2xzngVa8ihOiPP9Be8BK7eHmt48bQ4nJEhC2h1W8iADHwCH5\n/kiEjBPxfDCgyCHfX03GW/4vAxAYZSLDHUqgg7RlENeMErlS2BziaQAOrgTcxq+05AY/2HCiYtHG\nx5PzKzKtHbA57oFM8rk4+DguN7myklypiHmHYAePjaQ8KBlOFEHNWV0j30ZuJa7lmXkGFaaJdeni\nl/J0ONS1TF+LJ5FHXb1g8HK+Nb6USVcVy24gVS0IPllOnF6vDAWRRpahlCNfD5bLK1xx1ZR51MAw\nB4//YTuh4lfk6y6FDPP8stTP1V4vSDQEBrni0kDAwcoD9igw0wAMax/mgvK4Zdw6HRloSZ4Pkb+f\nte3bpIGDul6Ja1I8tVWVWH8N8MSFI9Fjgc8RQMMAolAnnezhwoDZObFLV25c+pShB9j2L3qkAWMw\nWL7X8j1PqyANcJnhfqW9VH+1Tqg8SMl5X5n0paWMywkD2x/RwKUUmvrvWNCqr5Hxun0bM725/Ppn\nwrL8oSzJ/ZDU/2XyhXuV6S8aBLnylsib07ZTFhdmwQq9IoOpEbUa/W1Jq7Mcqjmk+a303NAfJVl2\n7KO8TnbitvLqphbyeI80jqNfFRTAl770JfzTP/0TXvGKV+AP//APMQwD/st/+S+49a1vvZXc17/+\n9QCAU045Bfe4xz2a/L/0S7+EJz7xifjCF76A0047Dbe61a1w9tln4ylPeQrueMc7zs/YQgstdI2m\nXbqb0gOZ7pDzWZIynTNCc8p9QFtXb0da/2TSAjXZqaZBYLWxotbc43hMl1OZQv/gLXmc6ZmU4+M+\nENOAlrc9kwx/FXDBP81GN34OMCQiF+x3ADlKA81wzSljfrTz7pT9Rnxm31Q1s+JraXSYruY1Pkvm\ntr63pVPKkvE1+6ZIl+E2NtVkbduYteT36O+VO/e+Fb7PccJUHT5KypukOs8+GhZLTk22Nb4kFQ/F\ns00eavmfY2tLZ69sK20Pj5xU3OYZ9Tz/qfRW/iS1nmNNd01mqw60bLLsqtlXsSE1xSTCxLyQEzNG\nLvSNQ5otKv2dMKE6aXvdB9BcPVQHhqcZp3ze0Sp2u5DnQvF195Y8Lz3fZpGeJ9M2u0a6ebaV6XZ9\ncSyb8vnXOW6EPZ9q6yjLbPq4VtJ1bB7suk4LeKlBl19+OT7wgQ/gwgsvxMUXXwznHM4880zc6173\n2mpydIq+/OUv47zzzsM///M/49ixY7jd7W6Hs88+G+t1/2Pah4ydqNYuzpkdmHKWWnIsPZZjLBsY\n3W87FTYVvyu1ejNzZaZggENaLQZ+kkHeSxszsI4LIaQ+g1KahIkgpuim+X+204ZGqI+x4tL0TOEC\nRmmUFXRyJqXE/KNxcrgsAJUT/3Mdnr8EFXGcX6kIYJCQdPkok5zuk905Ulzak+fE867gMAoAlcv6\nZF6lKW0fR9E+Bo7JrfS8lDHaIctppAGDA0BjWGlE2wfwNoN8ECFHdbDTIBEaEALkqkgcJldbGkSY\nXp2J01hLFzEChZE6jMKRaByJUDFWVCOHuCWW23h97iq/0pILNjoAzvlVWYagLzYNLsW79Fpm4aPz\nZlwFpIQBKDWGV22g/PenzgUMRtC/cSG9KgLdxPEjcIqXrwcjjQTyaGIdMo2UJ1dngrrmRxSyGx+t\nBFlJO2RroAdaUr4FmtJYN0lW98G2WYAjWT2tLoBQgopkOWl5QMLT6Hgpg+Wu4AFKzolVmyjxrSmF\nMYiJAogpW9wovKsUeF2o63xPUkYA88WDwnZxg4gP4CVW4njlJb16kgQxyUxxG2CBlzRoyQI/6QLW\n8XIlJXmWD1qv5CR0yzYu3gNpBaZQaI5XWyI5KNVgGa5Hcv07+5PNJqv5LNOJtNYWcWWfmHoy+ZbL\nPgiFfUBaVUjvv651yPDyl0+pJJyy2wJAybMOq79FicaKTcnmvHWcHLwTBFgtPW/HlUG5KZHH5XmI\n5exSL5ruhTLZuvGKTbXl+fKMqkbYiYrama7Ga6VDJczi0Q2sdd+ycRvSjbvVeexDz0Kz6JJLLmnG\n3/jGN95a9k/8xE/g1a9+dRZGRHjEIx6Bpz/96fi2b/u2reS+4hWvwEc/+lEAwI/92I/htNNOa/J/\n6EMfitdf/epXccEFF+CCCy7Ay172Mjz3uc/Ff/pP/2krOxZa6GSif/qnf8LHP/5xXHzxxfiXf/kX\n3OAGN8Cd73xn3POe98SxY8f2ru9973sfzj//fFx66aU488wzcf/73x9f93Vfd8JlbEeGb9GdTnpT\n9pyJjPep2Ge0OjrKUjiUnpzVOdo5sEaV/Z24/WHNiav8E2KPrHklbTsgNpAqj7fT1e2y85RT69n2\nfNjsJYLzP1o0RBKvpB2ebQT5Z1vEpeeu56qyeSux73JWz6aqiIzTg/+WP1rzb+fKssia7JAyNZ+0\noZcI+USF9pW3kbkryYkMq3xbaVrpp/Kz7Zhjimp2lA3hbtRra41v17zajVF/fI2nh3RZ7kuulm3l\nx6l7nVbGWVMJVjqdF1mna3z1aQrbLv2e1HTU0rauLd6a3RZRJ0/LRs0jl5O3bKs9R6td6aFWvTAo\ndo9UPlQXrsnxquy5BxCbGKWr3ft32gW9MWvqqWX/26MnNX36x4/S9Py7jxMp24sCTBX5ECVI3j7K\n5wPn5NmSlK41FMp68WvWuIzHzg8/I1m6+bwml2yLtstnu4T36V8utNDVRQt4yaD//t//O17+8pfj\n/e9/P6688kqT5/73vz9++7d/G3e961131nfFFVfgOc95Dn7rt36r0Hfzm98cv/3bv41HP/rRRy5j\nL9RymviYcuKlM9jjTFnyWmlqzq7uv+QWcjJ+yqZ9OvCWbCpNqlHmL5Kak+Bz3G7OAVRu3ebTp662\nplN+7MxXTrK2O6tTDQk/d8zJky3OcCKcsCMHKU1NGjKIacAGI1bwkKEhOkNJo7xDvJdAo2Sf/Cit\nwUxhCgojeNUnb8EGwAo85SbzyTxDBFmVxLIHjAEINYA8QCc48wMBNDgBNBo8qsd6P+VqR/JBSXAB\nxJnjRyWHZeWFnpaikRNRcqUlQtoWTqNXJJBClQAcIuJHgrKGDeIKTA6AGxFXnxrW/n7cIAMpsSy+\nd/DgpMH5tAdjWHyKxBEUDOQBSvL9XFGe1bWzt6CTRcbZccYhi13P6bBcKD6WrVeO4nQS+GSN4XV7\nQShXiRpRPJrMRh2nq5CsXuXgq5THZWY151yNpAw+GHwlF/aRduihkKzO0ka5mpXkZbAaIa2QBJeX\n78A8XF/JN980+HqWAZvE2b/Lvv7G+BC3OsjlZIAlvj6AX2lJgI3oQGXO2gKOrw+QVmnSoCZ9sFzW\nxxnXbcog5FkrMmmQkt5KTlJ4t1OhkViBCRHgE4E+JI2SfRu7DgnAwzESNMrHaFznv7uWfaon2Vfk\nwBlk8nI+yZ/nB5md5YA5byt035zXYlc03rm9lnypI9mp5ev8yjK1Wo+8jPo8ByeuBD+lqNRmu4y7\nFNPW58j3Id7nov5ViYQtk6Qb/zkyOd0o7i35Mn2PnJqNPWTlp5Ve2tOr45pI3AZe3SRsuM1tbtNk\ndW77B7JarbBa+d50s9lEeR/+8Ifxv/7X/8L97nc/UHPF2pI++MEP4pnPfCYA4Mwzz8Tzn/98k28Y\nBjz4wQ/G93//9+M//If/gLPOOgunn346PvOZz+CNb3wjfvVXfxVf/OIX8bznPQ+r1Qq/9Eu/tHU+\nF1ro6qIvfvGLeNrTnoZ3vOMd2VaKks444wz83M/9HH72Z382vo+70Hve8x484QlPwMc+9rEsnIjw\n6Ec/Gi972ctwk5vc5Mhl7Erlx6F5bV1rDiIHLVlxtc8dPi4fo9T9ppL06C+X20epAy/tl3MyFLkt\n6i3PNKMDDEjbdGjPekqGtcDrVKr0lFy4Kqn8GYNMa9lhg60mYPnexbTK3Ek7uFydmNRA89HGJ+Xy\ne5IM8romS09Q6IF0bSLACt/Graj5lDVfVk8yWOHaFs0zqnCL37KzZn/PeYqsyZOWTbW4OXrn2tZ7\nX7MJmNdkzeFtkSyTea7pdrrm6NjVHl22NVu0XZad25RPrX2w4qeuJbXs2JftUpfV1slxtVWOtXG3\njAfs/LbG7Tq9TDdV3kyWPqsTrXWsOrynfCs8FLo1aY7nE72iy06JWV668J2FFF/oY5m/BdbuBaQk\n+ZY/2Q+OknKstOU8In9HSn5Y+lF8vduzyJe1/OG8nb5HFgwetnA+yMdV/F/r+WjgVV422jYHmHlt\nW9O2dA5t6SVe8+kknAdb6OhoKWaD3va2t+Hd7343AOD6178+vu3bvg3f8A3fACLC+9//frz3ve/F\nO97xDtzznvfEW97yFpx99tlb6xrHEY9+9KPxxje+EQBw97vfHd/2bd+Gyy67DH/xF3+Bz3/+83jM\nYx6DSy65BE960pOOTMZeyXJSJbWcTMuRmXJaaqP9WnzNSbLktpzGXntqvL19iDVQC7a5cE1AvgoT\nHBzJrtQ7cKTywp1xmnCQDlj076LCnnFcmriRk1EppVMcfiUje1KKATkWIKgEHLGNLQBSKoB8isly\n5tJ10jMKXQzr8GcJSnKZDvvzKctm/WOWXk4pMR8DmAi8FlPazs5zeTeRZXpg0ipzHvOP5b7yDBhc\nAFM5hJVHXJjDSu6uQ6pjMTPyfdWrKOnBij4YfMSAIwY1MDKLq41EfWid/JglOOoANoBJypJyrhL2\nbgA6xdtExwEagHGAX5UpiHC8KtOAtOKSLzJgBbjjgc958FK0cwBWY1qBKQNHIQGBCGnFJT4YR7mG\nl3lcFDkT865JreLExedyXnnN2LDaykV6DCmbarZPjlUl1sQiXqjLVXi5elj2SB6ucjWS5cdkrT6l\nq6WMkzbrMbc8c0swUB4e07myHDnNitORb6OjjaGA2f4VJfCSAxI4CcB6EHEOOYCJPOhuZB0hfBj8\nqmO8XRycvx5WyLaIM1czkkCk2gpIciUlDWpaC16+P1BptV5ZueRyVvILgwYwWdfqqA06/apzAejj\nUrs5YiiAQnpgmLaCo1iPU7oBcoUifhM0cCdvr8vPF5I4O/Izk1xVSRYQBXm6P7SAUTYYSvOxDe2J\nhBL8JK2XA/1chg14KnnyvtuWVcqR73oOjooMfCrcCuYRLy+vYOjyNjhrj0eRPgoWdvbO7vTwzCXd\ncQCympRhNVugeHexi4vH+ujTSrOvMlnopKFXvvKVeOUrXwkAuOyyy/D3f//3eMlLXoI/+ZM/wc/9\n3M/hb//2b/Enf/In3YCKCy+8EI94xCNw+eWXY71e47WvfS1udrObmby3v/3t8Zd/+ZdF+K1vfWs8\n/elPx/d93/fh3ve+Nz772c/iV37lV/BDP/RDuNWtbrV1Xhda6OqgL37xi3jd614X7+9yl7vgW7/1\nW3GTm9wEF110Ed7ylrfgi1/8Ip71rGfhfe97H17/+tfvBGD667/+azz4wQ/GVVddhetd73r43u/9\nXtz85jfHBz7wAbzzne/EH/3RH+Ef/uEf8O53vxunn376kcnYlbibk11j/8cCOWdip5sG7uQySuuk\nXaUGl13tr/PMP43lunLPr/7JZcopckKO9lprOZh6Mr1Pri2hXPWq9N3bZWzVq1kmAHBOzYuJcC6h\nAQARQXrB7Mf6MSx54LFD2ErOM8Q5N/FIyMpST3WiCl/L153rL/for8WhEa+ph08+XKfCetL26tmV\nR9ok+axri6+XamlqOmtpesM4vFbm2zZ/lsxdx0E1PZJknbD0T6XvJbuzs+2YK1OHSdq2Idy6AUVZ\nlvqdnSN3m3TWxKO8rj3XWjorfS1+SkZNX42nRbpccidhWm7NoRHPzgHhR2j5XJTZvFh5ItmjO6Rd\nStScXMVmAnwf2vUDG3veS3o5fTLqfDLnNXn8hbD++PIJVfn9Kq1yNG1ru3lM+4lob3GfVFahUZW5\n7Ubk8HjAqTKZolZ+egBJPeWw765noYWuLlrASxW6/e1vj2c961n4wR/8QZxyyilZ3Fvf+lZ83/d9\nHy6//HL84A/+ID7+8Y9vPRnyspe9LIKOnv3sZ+Occ86JcS94wQvwXd/1XXj3u9+Nn/qpn8LZZ5+N\n29/+9kciY2/UcoB62/Ip57WXx+LvcfJOFNUG0k1bXHEb/aAsj35iwYNNXPxGxgAmAuI+9hTTpAty\nrgA6+fP06MuaLrIARTqsNqHjQTgAYdNYSUiPbXPIU4rzdzb4aYokFMnLlKshJX08gZif+cP30KFf\nApakM5i2iuMVkzhPQ5BN2GADhwErbLCB32LOcnQSZG0IH+TJLyVO8B/syaV3lfd65jpbWzFJXnOW\n5JZyml8CGq5CeicGdXbwvZXWv4JdHR2AK0XcWlyzbrlNnbQvrLLEKzkNVwFuHaKOA25AXIlpHINY\nh7hyDUS4BDfxltmDAzb8PsosuZBlgtiyCtn2YZzmGIDjgZ/f7Zi9kGYj0nDxEfJd9fSAjYtWN5cy\nnA/ZjLPcEfkiWTVySNVCk8SYMK/eak7ySTstYttYp2ydNB5OypT6arr02D+C+0TYipK8GOdS9ZVA\nJIT0wxB4RdvuHE8up4P1MHAJyON4JScK79gwpDpD5EFKg1ptyYV6PEggERvL97yK0krEWWCjA5Rb\nwLUOaxs5UvHWHnyaR1cijodKI+NWg0gXQEuR19+PGOL2qvxMrbZ1g9Teb+DBpno7NQYzIYblA157\nQEpBbzqzHpaZgE+DONcHwDk5WKsnpVgqrqXdegCe25nst2Uz/yDuS79A22Hdt5xMBy1b8jpQAKnp\nxpGy29BIRz4X+Vw8h7zrhov7jKIl2YMjKhvNXqr1nz1hHN5yC506pniscKmnxyZSPC37Fto7ffKT\nn8SNbnSjI9dzvetdD/e5z31wn/vcB7e//e1xzjnn4M/+7M/wyle+Ej/5kz85mf5LX/oSHvSgB+Gz\nn/0siAivfvWr8YAHPGBre8466yy88IUvxKMe9ShceeWV+OM//mM861nP2lreQgtdXbRer/GEJzwB\nT3/60/GN3/iNWdwll1yCxzzmMXjb296GN7zhDXj5y1+On/7pn95Kz1e/+lU85jGPwVVXXYXb3OY2\n+Ku/+ivc8pa3jPF/+Id/iMc97nE4//zz8cxnPjMCF/ctYx/U6qrmyemdk2jbwWR5UPl/P8Ibmp30\n9mQDsaQlA+zRYOJpl6f8XCZ11B2inufThj5peRbgijXln++2fba95WAlJCsuhpeuI8FFAFL07kl4\ny2L10WhTmD/JXgR9bd1bR43HyFvTX7XS9obJfMGIk+G1qmL5tK3z1HUtTg4hWjqn9Fv29FCPPO2X\n12S0ZMbJFsGn77d5vfbR7OUv+by6tCvZUwW23h2HmXuV05Krn3Gvbvke1OrKtuWRN+u2HitO50N3\nVtb7YdloXbfSaptbVJs2qU1PtN5B/QytMrJkWeXIxHP2vUT5pavVLYTvHkgwHUcIK/jm34/y5oeg\nv6G5dBHDpn7UpynKbmbJ5fpmSZ+eU5P65LxieSRbShv9Xa+F7SYxeSq9YKh9UL5rC1uYtuWpwet7\nGpbcayUjfI6dUz8cTZwLLXRNpzndwHWGfvInfxIXXHABHv/4xxfAJQB46EMfGgFC//f//l+ce+65\nW+m58sor8Su/8isAgG/91m+N10w3uMEN8LrXvQ6Hh4c4fvw4fvmXf/lIZOyVagOfqUGoNUixDmtg\n3HP02j2VlxPR7jfzYBjgyIMlXGBzgj0iJ4RoJ0XaGYrgCXktEObTlHudtcmaViedh6ePtLUVL+pH\nckrTx+NcfrvTp+w/l1v6GJ0/IpelAxiqJLfoSWlKG/IwFHlhHp5qFFNL4V5+tK79ZlGCoICRVhhX\nA8YVwQ3kATrkt5EbKTmvUYc1yCHkq6No4EFtNRVG1eiVV0ilrwEkJK/cfupYOPS2VGt1f2iEhYOO\nAcOpwOoUYDgEVqcCq0O/1daw9sdqBazXwHolrtceC3Gw9sd6lY7DFXCM/HFIwOEAHBuAYyt/vR78\n6knyfBDCjw3AsSDv2MrHZwvhhPs1hWtK12tKRbyuHIw1kTy1RXLk/RDSXU8U+zElSz+CAwCnKN2n\nhHQHKpzlcdiheGyW7MPAz/JOC9e1xYOkLmkfy2qVGfMehPJdibI/oLK8mOeQgIOVP46twjOWz10c\nB+Sf/eGQ6k48Bi9jrY9QD9cHvr6uuI6u1XEArI6JOn6Kr/OxMPQ7I7eAW6lCk2GHKk6vqGSt2qTb\nCTJkE9LWchrEZLUbGgjFJNow2d+N8O2eI4S2kDAOCG3jENpdeZTddOpnvAF5ey9BPmkP+tqnj3r/\nmPfjfvNPykIttwpwwo2SoKI0EWH1Rblujpd5StM68/pnEnLS6lJWJ8M+wBSxRNuNsmUDArAGJyaj\nZP1QwCbZGSakW7JfhMER3NgCcZFw4rakOT6xrLBWcfTqq91Lf12Ht47aDjVzfPs5vv81nVod04k+\nAt3oRjfCjW984+pxFPTc5z43bgn1B3/wB5P8l156KR7ykIfgH/7hHwAAv/3bv40f/uEf3tmOhz3s\nYXEVmg984AM7y1tooRNNN7/5zfHhD38Yr3jFKwrgEuDf7z/5kz/BTW96UwD+B3Tb0ktf+lJ8/vOf\nBwD83u/9XgY6AoDHPvax+NEf/VEAwO///u/j05/+9JHI2AelbnT+xwemqXR2l6ZnWLTfVPLn19s6\nAPskDVrf1T2xvXL7U1NtlqTPhajNb+UAplxWv6efUjRJCM/kKtM8KMkfNS2ECVfU5bwkgl12UdpW\nc33NcMuAml+XP2rbB2z5lVaYHkDVSNve8ot1GlnJamXWI68nrodInfW1patXZ+uZTD0ntqP2nLVN\nvVSrSz3prHpWG3tMjVvm2L2t/Nr7MSe/OsyiqfpSkzmnXveWu7Zpbp2VaVtytnnvest96nqOjql0\nrWeky9riqYX11Mup8Fq9atU3XS9IfjFB9mPPPK3hUwnG4ud/tX6240GVfgllYdZs2TbU8iAscHOy\nBg17bPJppXdTzsf1kjNTnEh/leL/IV5N+fj1OC6bKZoDYpqaYz05fPwjpKt77suYB1vo6GgBLxl0\nz3veEwcHB02e7/u+74vXH/zgB7fSc9555+ELX/gCAOCpT31qQPnmdNZZZ+HhD384AODP//zP8f/+\n3//bu4y9kmwj5/RSxejXoJrjZPG1+rpt+v5efd2Hm+aRClpOGwG8VUkJYAoOFyn+KNnFD3MxPhcc\n1adJuXZHWYhS/L1UOlLy42De+U99bC1DvYxRybDzI/9LaUknGeE+ziH9hlJ+eJXgp7QZ3Siu86mt\nHDTF5x4gl984znZ/hT/veWkIH+4DiGk1wK0IbkUYB8K4ChOM/Cj0CidAiSSpAY8GwS/bDYkc0WCE\nlUgnUSgSRUPqzEgWiYLRhwZqWOiYNUDrBPBYn+pXpzk8BhwcAms+TgEOTwEODwIQZcjBJKsAWDlY\nizA+wuIvK8pBSAcUAC5hpZz1kAAta8EnQUsSX7J24Z5yrFYBqkHCnligoLVxfwgPDDoFJdCHMSwa\n0HQo4k4VcRZ+RWLcGIx0ipKhdWR5F4/eAkdZ+By5cJBVRjJM5lnrzUBkAZQU04TnuAr143AVnqdI\nkx0reCAS1xWuUwfIAUvh+mDw9fLglLx+Hh6GNKcEoNIxgCwA0iFs5Jb1/pwi+GUFk++hfLhr2A9Z\nh1ntgAYuynQcbx1A3paINmccENs3FwGcHsgS20KSQCM5EKesHd9EwJJsb4eCj7eBy8Auom2Wg+O0\nspJs8xkcleuRa/qVfRLrSDbmg/DkJE318akPNmd+jDAZm8uQQNs+Sn1v3afQM471wbtz+TOwPjZ5\nMd5il/8kPbtOk1mplrhw7YFRyobMTOrzDbefv7JpSm5vGDXi59hvTXxadC2ei1loHh0cHODud787\nAOATn/hEk/ff/u3f8F3f9V34u7/7OwDAf/7P/xk/9VM/tRc7TjnlFNzwhjcE4FeoWWihaxrd5CY3\nMUFLkm5wgxvggQ98IADgYx/7GP7t3/5tK128Pd2d7nQnfPu3f7vJw+/m8ePH8frXv/5IZOyT2FOa\nP83U7tCkR9djRT4XoQ/p85SpWkfvh5Dp2Qk9K1HaoG3rJSok9OTM1tp6jqQcFSt1Kmn9SU/z1Mtk\n2pZctwOZflN0rQgVHaxJjkbCiCQuJZ3PvqV4OYKA7ef1hMn7lk/aCte+aE2+DpPhLRk6zZTPaunX\n+bT4eqnXR59Ka9kz5beTStNLPTZb9WCqPrTGS3PC5I+lNd9cmmq8esqQ4/qa33lUy1vt3Zkq657y\nlzK1zpqN21LZlJZxU/lqyWmNfWthVlyrXbPie97PXhumnsOcdtSS0ZvP1vPfxgYgrbrkFKOrCXMB\n4BvuKWWgePX4fRT8sdc38pJm3fL+N73e7YouZ6fqX3VaafuonJW0/SX952K45mz5Ni07yrnR3RqD\nbUiXRq0jLBvn/PWc33jP+W660ELXBVrAS1vSsWPH4vXll1++lYy3v/3t8ZongSziuMsuuwzvfe97\n9y5jr6T7z565AUmWIyjj5rb7sn+p2dCS2eOob0tdeQwOg2VDYZ8GMIWPZ9I5Kxw/0oszKftcoX6K\nNCCnFi8VpQ+yJZ8FUpp275jXQbtMSbZv/qyVHJIe6YjKM8Q9ZfdStwQutaft5Eoe+sN2us6nv/hj\ndts+X74WgMk4aIAbBmSAN74YAAyETQAbOVls1ipINeACGdcauKDT1wAOEiFjARZkPC/zY6FQToFH\n0ZyGfIkfzT+kcApAJVrnB/MPYQUbOuZ56cAfwzEPgBpWYfWmcF4dAGsGQq1K4BIDXVaDB64MIexw\nFbJLCgAu7jNAESW8SW2FpQMysVsZSIcBQ4eEfJUnkaYGBNJyj0l5ikc+PsbGWCsn8YJAemUlBm1l\n5UklPk3j19bwfLUyOoWEvZTKzSrzmN55noMAPuKDQW4HAcQUbR2Ag1Av1sdy4BKfh2AEHXow3XCY\nVgkjkSlZR3mVJTpUGbfQarwkFr8jtZXKmE/L1O9rC9wk+z+9spJuA6DC9HtKlfSi3XLkgUtuIMR9\n98BpCAgr8Yy0Ev2H3XYyICkHLpVtcWqnJWBH8ueApDFrv/P+DEHWmN0DEsCk59zGSnjqT6kI0TRm\n9ue2yLyksJJkP1YjCzSFRrpyaiQ5U61+LzMqkwaUaiiCnfhbTnzG7HtRnj8X0mTyLV/SAT1b8+6V\neiYXLR+55kdPOYstP741TpgzjkBH/ELXOrrqqqsAwFwxmemKK67Awx/+cLz73e8GADzvec/Dz//8\nz+/Nhssvvxz/+q//CgBHtsrUQgudDLTrPNjnPvc5fPjDHwbQnr+6xz3uEVd5knNe+5KxL9LzAj3z\nFH1yt5WTp8q7T+mhlh+IWkfvJNjkfENmQfo41us+2If1Ic/OW4u0+1Dj7/IrlfW2rDkypj8AEhxI\noomkBcLF1HNdMV9hq2xkU0EUtzdPFodrqWqOnxYVov1gavE6vD6wMeY/K/Km4nvT1F8g2z6g9Kmn\naJcGppaPHpm1cUNv+h57WjyjuG/Z0kO1cpavxokakskx1JwGS8vYhbLx6B51tOqJXnF3qh1oye2x\nYx/PtMdeK802caTOFv90x13yteRYenrkWTJqfFPhLarFq37HAaLP8gGRhcokcTWmoswrlT66GT5R\n7L2N/rdmeArpe7G0J9GbviziKX9D8lmrmZd/LMl+rLZj0OMlUmiQ5Ezg0TXM9ZwSalvh2fb0PFHL\nI84lb9eoy5I7UV3YQgsdNa2vbgOuqfT+978/Xt/61rfeSsZHPvIRAMDNbnYznHnmmVW+u93tblka\n+cuyfcg4Umo5F5JH31tOs5Q1J45pRPqIOWWjJUO2/nP7EUuHJcspBrmSVkVndGAc0qyEA1yYaHAx\nTumRzhwHSz7n0iQHiyWC3wy43Q0SGLhDGOHiwhd57tIn1oksBt5SywiKn1A9yGej5LK7k9ZAYieA\n0xA2UU6uizOuU1PkYadgBGEFdm/8JnG9lPjZ5Rvg4LJtgPQ0Y/qIPcBhDDvwDkiVPDmH7GqNGLLn\nklzBZIeDw0h+myTOb3R+RsCRg1sTxsFhOB6qwnGldsiKLoELrIEU88p4mW6NfFC7AnA8hG+Qth4m\neMDEVcgBDmPgIyFnI3TIaxLyNkHWJtiZtjj21+EgEjYNyG3lAZLhxRMAdzwEuVQcYyhHWgGO9YQE\n6lX0zzjYeuQAAQAASURBVIyAYfRAl3Hk55jiN+FVZVxGbA+QBB0XzUd8JgSMDsVKbs758FqzFAeD\ngV9vUc5hsukbpE3w9sox9RDymZntsqIpDtah251sbK3mbIlCOYl2cTUEeWNq8phlPSACP+MjDvdj\nyJceptHgV87iMqZwVgsB+bojAh3zBju5XhHBvwsuDyOu/w6lcAb68LUG9ch31kKhyTSrCV4NTjpA\nCWjSKzFJ4BQMXi1Xr8ok24/KtQt2uhUwHlDcLkxuFecGwIUVmTzuJO+B7A8NEmgK5AWftj1lcCq3\nrQyglf2JBC6lgmh/ruBz0U6I8HzFJqgzKVlO5Y/BvsleqywIdnnJPCLyzaM6GIrENd+nsHyiJ+e1\nPI9op5P3Qoo23FnXDry0pdRQ7tihHDRuYF1Kv7dDk2wwLdpWfk1ny5aaHH2eyhNQToZfW0muLHd1\n0tVsw1e/+tW4CnJt1ZirrroKj3rUo3DeeecBAJ71rGfhP/2n/7RXO/7iL/4Cm413HL/5m795r7IX\nWuhkIp4Hu8ENbhC3bJxDPH8F5HNUmogId73rXfGOd7wjS7MvGfsiiv/zTkf17o3UOh1LHIX8+Rax\nXFeJy33Fcl6mX1sfXEl7zWW+eI6jP8/ZGNKMTYcNcEq8lj0Az7q0KZ9dqXNpJ2dOmUlvtqYn1h03\nAtomkUSG52P5ciQT40R6WSYuMMb7EfWpQu3DqfF4k6b8R0k9gwzLx9TnKb+0JnMqXE/sSD2WPz0l\n30pnxdfy2rK1pmvKX5+yUd/3XE/FnYzUqoutcKrwze8Q5lOt0auFT9mUGi773uK15Lca41o6p66t\nc4ss3in7Wzb26tO6d1l2wqpPtby0ymuKrDqr0/WEz61/6v1w4lpGu0p+yldUChGJ1C435JzQEbyL\nVt3ITJbzhH2UezPS+nlUmxfT5L80sWaIKz3Pl9tUAqz0V4GkW7sEZVei080rs3mUP5OU1yHmsZ7G\nyoeWlZOcY+UpOYtnDsnncyK6iquVlnmw6xQt4KUt6QUveEG8/p7v+Z6tZHz6058G4Ld1a5GM/9Sn\nPrV3GVP05S9/uRq3l2XxW44SRFyr9W31YezsaZ5amp5WnnukXieykEnT/a69EW+RJisa59M5uLiv\nPVHoFp1Ag4uEzvmPs9kkiAMoIh60NohO1h5xpU52CPfyZzJ62mxex2qBk/SEW30cKNekYHiOBzAl\nt1RO5fCElT3qTI6ahEVJ2zToyQOTcnstuQnAtAJP5A3BlhE5eGp6spHzkE8XsrVJrq+Xfou4wbnw\nUd/FbeLcEGQ4ByeBRwiTVAxC0gAmQgIaOMXD6TZI75MEGgod0e916gzBw3oZeMRha5QVTfNJW1cA\nrhB5YjARocwXyxkEL49xGNzkyiJxY+6kcwQhyY18TmR7BNzgy9wF+zbiAzSvXnvARWy0nxT+kROO\nsn/80aaRx21se8iTc8n2mI5lxnYlFb08D+K61gTyQjgbAcjSxo8icEjBAPJdwmIgiXyGtLzImBrv\nxvysQtr1KgCYAs8aIV1l0D0InUBqyhm8RAggsKBfAp0w+HAX6hCXewQ+BT0MUnLqXaOQXuY7q6sH\n6l4fHMdLR8k6rsFJhBKspEFOcmUmrccCH7FcbTuhBD5ByFkreTJOyHABtIQATuJt4WL7Fp6rI8JI\n5FeiC4kl8EfWmjHGSSrb5NRrUjw7Idun4tX3ZFjeT1qgIRme88hDAlKllbI3UpVXUA24VCMt05l5\n13rr5MR/KU+mHSH7ODR5W2T2+I7bVsrCMkbRuLmNJaSmTNnlQgTpsB0pNu7IK4dpU2eYZduudlu2\n9dq5D/0LXWPIOYdnPOMZuOyyywAAP/ADP1DwjOOIxz3ucXjTm94EAHja056G3/iN39irHf/n//wf\n/OzP/iwAvyrNox/96L3KX2ihk4Xe8pa34KMf/SgAPwdG5nxFm3j+Cuifw7roootw5ZVX4vDwcG8y\npqh3Diz5J8WIovLJRlI5SJvzWcpVO8I8tZ4BsOY2WJZ2v+uHHNFNU7nlRml9+uFWn1TpRWv7kgT+\nhVFpUZ8Gm68PsHS0pMuInO0JU4mcb0h0cQIgew4CkUQONkBJjP+rACbpO9b8UCWvCGuF1+Ra4dYW\nYZaO1rWlp3Wv9cwJt2gqzrKRq7Ws3lZYzbYp/3wqrjd/vXrm8LR4ZR7nd239+Z2ilu5tx0NzaU7z\n3sqflb5V92ryqXI9ZZeWKXUXDaghQ0+NWPI43LKzZUPLXp1+W9mte6ssp3RZ9aJ0fUqbavG1ejYl\nc4qMNNF88v23yxjrFd6eAglff0RZDUHmGMWR0EXqWcxtZKSHxmnnzGvZ+uRXrLpmQM7jsafGcXqZ\ngZyv9D7bXiUfg2HXifG1OL/2iyJJ++7MXXs2djnn87ko8r3dzwKmn+tCC12TaAEvbUEvf/nL8Td/\n8zcAgEc/+tG4y13uspWcSy+9FABw+umnN/lk/Fe+8pW9y5iibX5R10XaP8hnG3Ka6punnGvL+bEG\ncVY4x+mBWs15a1HPAMzKKxUXDcGeLzo2sq8lEUu6i6Nw4QBCBDxQ0VcnF0d3iHryRlgRdbCjmFIm\nT7jVwfqVg0ZIB0sDlhKIKF9lSfLr6xLANIrHTZHTr85EYRLSQ4gGENJKSZ4GZQc7dC5IGpGcOAYh\ncU5y24bA6zJcjsxdCpNH+UE76RswGk+jSEsDxlA/eOlwF2ag+OP+SIirwcTnLf1oioWRzmGVGHOl\nJgYJaR9Wgpx4dZerwkHwwCBZELwCk6yKEs3CunnlptbEBa/8JOc7tW08Kz0ggpTiLLULJT14fdnq\nPQS4jS9LuPS+SXQPhesBPv3IYCd+VZFWSJKvO6dnPnJpZSZNA4ANv+uUsu9Q6hsGIScAbEaRJ1l0\nHChXlpKyh1AGEDrh/CpSDL5Zh7jNGB6BaKJAIe8oPwpE/ArlTXTEuwQdJJ4lhbIkIYPBQgR4oMsY\n8DOVZoqCEvEjnGRz0LMKetcIz20Q+Jp1eK9CuxvlEEArpJWVWPQKcWGWuCLTOunKGl9CAhDJ+lsD\nE1krHOnVj/jMKyVZwCUZp8FNK/i99/QKUDW7tO2E0hYdH4642lIALWGAACohATQJAbgUVl2KbWfZ\nxvptO9N2n8h4a2mR8chejPuNEaso0wL+AE7EQ+nJAULcw/hmjHuTWjpunnNQMIdB5AnRfj3g1qAs\nmTdk6SR/AoBNDcZ7QEhSfumnSEpbwJXPKoqS77MIK66l3Ep7a387MuyTcrXvmQk8wsOSX9Pbsm0u\nyc5El6++r+nYVvdCJx3d7na3w8Mf/nA86EEPwtd93dfh3/27f4frXe96+MIXvoD3ve99eMlLXoJ3\nvetdAID73e9++LEf+7EsvXMOP/7jP44//uM/BgA88YlPxG/+5m/i+PHjhS6m1WpVADLucIc74Du/\n8zvx4Ac/GGeddRbOPPNMnHrqqfjMZz6DN73pTfiN3/gN/Mu//AsA4Jd/+Zdxy1vecp/FsNBCJwX9\ny7/8C5761KcCAA4PD/Gc5zxnKzk8fwXMn8PiLeD2IWOKeufA8tbCNeLmUN17kTH1WRlpTwkbsgA3\n3stif87uRLUOy8utHXJ4kl/pTz3JBsMzq+aytDVPm+SVqac8UFv2diRdyF2o9OaDVB4sCxMdhdko\np2Voq8TA3kE9lzSvIEVFdWLcyvFkPbo5PhqhPV8zJavGU/Nrte6WjzvnXobVzlM6p2yohbXS9p61\nbVNjoV3Krof0s5ubZipu15dTU+9ztRuy7YnHUruQljHXxql8W2mn7O5tRO3G246z6nrtrHl6yOKV\nYTresrOnXGr8tXdX66vxOORobF1eUt9UHbHS8rXudDS/1qdk8PyqlcyFf+SQzac7yTwAoPSVxpLj\nw6iwM37fiYJdDOcZPOkB9TQKLqsI+nr3F7zn9Uy+lOwaprwgHVtC+euvQ032No1FD01V2Lo37v+X\n3uY2NqVXJ831zicXZMkatr2/utBCJwst4KWZ9J73vAfPeMYzAABf8zVfg5e+9KVby7r88ssBYPLX\nX8eOHSvS7FPGkVKr3W45JlZfPFdWzY6as1uT39NnzHGge/IwJ+81WyCcnehIpshcvAu/yHKFc+7U\nfesHlnryLHe2cuct7+z7O9QECUrX3EXzR1AGCQ3Iu+tW2IgBQwAwpWkgttYauciJNf7wmiYQZb5k\nWD7VhHhfA1uNWIE3fQPSAvIMnBoDIImEzfmUm4RzSTtTmeW8YWxCAA0EcgKYNcJ/2F8RBkZ6eDN8\nIgUI0XHxzGCD9FD9PU9OybRMXJVGeBCGDN+Ia5bPACdOI5eVvErw81m3PczPW8iJ7eIYjJRVCQZL\niFWX+KAAlOCt5sgBtAaGoNNtgM3Gg2V4qXUG8PBrOQye322C+BBHLgCIQtllS9WSlzc4YAjlm28N\n6U+DCJNv4mYQj2NIRRkZWT4Bx3llIlJthBNb0Lkkf2XoG3T9cYnXjWmXP/mY4vZxFKoLiRWKgBws\nwDxy1Z5wDJRsZBa9+Jwb0ipJRRny86Lw7og4Lg/O30Dp7OSzHlIeKNQXHoAT+WcoV1aSq1u5EF+s\nPMSkVyaS74oMZ4CgXKlMg47k/RrAodLJ8QdCHoOcpJxD5OAjDWKSdq5gg6A4b5pf3DuCWm3Jh48C\nwDQOfrtMF9KO5Nu69BpbnzMQt4CDCIPikQAdDdLhTR3SVnEJuISq3iR3DJmVfUnqY+QCO7xqFDJ7\nrTNUHjaZHSy3BXqCCpP9ZaKpAbnsEzmt7isljZn9UPnJ9XKZl5Gi0oB8mwp40K9clk4aZF2HHCjF\nWVfTJNVuFYmcETYlTx67UC29lq/ayFnyd7HTqet95PlkJW4Xr246wuWyP/GJT+AFL3hBtuKxRY96\n1KPw6le/GoN0AAB86Utfwu///u/H+1e96lV41ate1ZT1O7/zO3jyk5+chX3yk5/Ei1/8Yrz4xS+u\npjs8PMSv/uqv4pnPfGZT/kILXRNps9ngMY95TFzx6Dd+4zdw+9vffitZci5q2zmsfcjYL6nBD6Sf\n4wqOPF3ZyWteDViy5NjzKRRTy8PSm3ffKT5Pt19qf/5iIL62UFKZt/pRd0x0ifeDk+Z/XmoBpfpJ\nzjoJueTMVZYIdnhTA/nBZgRwGT6VCU7yCm1/TN/P8U9rfDVZU77zlM6WzXPiLXv0mKEYQ0zY1Rs2\nlUd+TlPnln29YVZ4/2tWXrN9u1JPvTtqmqqHrXxOlcEc+2UTWXZptq45z0DK1fXM0ltL2wrrTSPP\nEHzWPJomi6c3H3PsnJOe57/0HIIlf87z1fwWrwyr5d2yS8tv8ViylA0OKH/VWksf7VRKnT/zD0Qt\nit+iJALKCo8ynLCXP0z0PWLtF+Qzat0zS9XppJ6KSkCcs7S9q1oq9rzyHyJanpgT6eZ5Vbu+aMlW\nXy0I5WR0S7eO381bTs/Jobcskt1Jfw69Pwrv/SSg68A82EKJToZHfY2hj370o3j4wx+OK6+8Eqed\ndhrOPfdcnHHGGVvLO/XUU3HppZfiyiuvbPJdccUVWZp9y5gi/iWpRZdccgluc5vb1BPPbSd1HzHl\n5LT06X5jymmr0ZQzV7Np7iBD69Gy9EDN5ezlzQA3jn7bqpiOESQObhyTczcSxiHtKEtZP5cb6wDA\n2mrONDYPyYufgpW80tG2k0aem6IGub1aWiPJa2iFbUKYX5sorZCUg46ABGpKZ17hYgjSPBwqgZby\nMY4LLqAuD51nDhuxilamfHJqXvmJV4KSLg/bXQKY8g/Nctos7Ok7ACOOYwirA2VbyIHgBhcfatxC\nK4B9iAdQ0lT2A9fQ1cPfM3gJ4qzfYbmlFAOYjqs0TJyWV2hyyEFOY0hLSKgYBiQ5wc92Hxf8chfE\nATnoionDwplWwBBsZQAT66EBWK0BtwHG44hAIQfEFXjg/HUEvCAPj9ufcdmGFYDk6ku08joiuVSs\n5rxUuBjE4GuQcQ5YhdV/Vi7Jzh6vC2k4H/kYL1HQUYCXRLqV0STE1ZJInLNBZLoYVuFxjUi7NAm9\nFOwcg82kbCUlL16GOsIyedu7rDDIg7DiCklS5yqOk5MtBGAN0JhsJzWOSi1AuF+JeAkCgggjdS3B\nQAcowUlRARJ4SAKc9EpLCHK0LA2A0sClwbiWNmqQkz4kr8qjC3UUlJ/dkAOYeJJiMwBu4BWV9CeG\n9K6MWXgOXMoLXgJ9SmQW8yegjycNZoUhEYKHdYyQunh1KDJkWqAnBiylvFNmW8pDvuJUPSwvE/Pt\nz0iWaQrjvFPR1Mt4W54tkyW20o3Cbg9upAyI6UBi1SZx7Ya8UokXXLbd1QMd94R2xmWaoyRtE1Da\n3EpX47HyV/OxNd90NVvoGkKf+tSn8La3vQ3nnXce/umf/gkXX3wxLr30Upx++um49a1vjXvd6154\n7GMfi3ve855meiLCajVvVkkDoAAPonrrW9+Kt7/97fjEJz6Biy++GF/96ldxwxveEHe4wx1w9tln\n4/GPf/zk9lULLXRNpZ/4iZ/A29/+dgDAYx/7WDz96U/fWpaci9p2DmsfMqaodw7Mif9M3kPLO2w9\nVGTOfPwvIU+Ju29ehCKv9Lryn41pu+QZ0U4Op6rd86jspp3SVVrS58CU5W5TWao1zzDnKst+DrAp\n90BLgNJ2819e7uDYew+hcT6gnFOqi3IVfyzMGhHFpY5NL14F6NWHs/tGuixrFq/lD7Z8TJY/Gnw1\n/1rrr/myLd+0FdZLPT70VLqe+Np5KmwXGduSVQd6xkFT/L3N6lHlodeGfTTCU9Qjf592bCPH0i/D\nanVElr0Oo0b6Gv9UXbT09YBqmLRdVlfdStcKs/JQy5NOX5uD6LHL4uPwOWVTU9Ex1RS/WRDifEyc\nQwdBTiLbVWLGC+BEUQe5gwufG8gzzOiphS22/rwbt3nkDwDn6dVepLzq68w9l/8VuJ7vLOcJbY/R\nx7R2a0klZM2ftrrGlNLy0mVcWdGSvta8Yn+Dp2dAW2mlX5/zTaddaKFrEi3gpU769Kc/jQc+8IH4\n0pe+hMPDQ7zhDW/Ave51r51knn766fjc5z6Hr371q00+uc2bXhZ7HzKm6MY3vvEs/oJqfXzNuWLq\nddJqcmtOEofp8B6na04vzyuw1Jyx3rxO2JWJcRBOlytszlZlAcWyIrl/E1x05Dzywc607Rg50Xkn\nN0OCaMrsSKfNXw0TBZ1rSWFJX5tyXv851IECDIjRKEOEF6X1nHgqx4OTEM5yG7i0ghODmhjI5M9+\npachXPly4fUwOEejESYdJSfyIEFbowpNshjAxOVNcFhldjmRLxdzPGAzAIxKIfgVSYYRfoWSoCSu\nHgN4wAUzW2egBAnJbd2Oi7ME2lge54GSod9r3ibrKiUL4p4fN4OZ2DYNoKKgQ4KYWLcoi+ycHgIo\nbME2yHTi4C33eGWgCFCCTxvBTgeBZ4RfpWlMvGMAW0VgDst0omiCUJezxI/psoh52zaHFDeGvMaV\ng1hGECRXL2LiMAnK0hSxbjygZDudso3KdNL+CPyRPAFHwKszrUL58lZ0XO4EbyMhbYfHMiF41WUG\nXOJBMcsB4J//kFZcIsBvA8fgmlEIE4AjBkXJ1ZYy5TKvDD6iXEZWf6HODBBiIJEMk4AhQr5qkr6X\ngKM10nun5TDvAdrAJb0dnQRJaXDTupKWV1oSabIt4+RBFFdk2gzkt83MQEv5dQIErWL7zG1yAjSl\nFfBGkY5fwHxbuBzwxLL0mQGnaZUmxHtADpolICpVqhJolHSzPSPkak7pIOS7NlggK02yv7HjIMrA\nlpWayLy8oNLnedE6p51Io0mOKaNsXpaLD/mTPL0HYdbI8fNxiVeT1b/pMHlfM1hmaKzwzTl67QJK\nALG2p+WYaZk9vFb+e8tnoWsM3epWt8KTnvQkPOlJT9oq/U1vetPmFnG9dMtb3hJPfvKTixWZFlro\nukA/+7M/G1cwe9jDHob/+l//a7G14hySc1Fz5rCuf/3r71XGFM2fA0udTe7VobhLfDyST3zlVYv0\n/Iozu2jmnJaZ/0a+8GEMuTXKAUC2LiuVjndRWunskHIgqHpI79CJ/zq+DTbqy5dlvx0/79Nl0s5j\n+sElGykoSz9wiEmExlJfkQcHJFCTiwxyHpGnB/Pa7S8ccpn6fit/VOWjkNUTXvMXYYTVfOCaLTUb\nLKrZsC3/lB9cI86fPkNdW2E9MrQ9pMI0j3U/97qXWmlO5Jhhjq7iRTLuT4Qt1gveQ/L5W3VpTnoZ\npu9bZWLNh0mbavEtWRbp+s4TKfOmJ+x3q5au9lx0udXS63DrvZdj8Nrz0Om1DVrePon7KhXmVL0o\nmo8Yn3yKGvil+KIVhBFZaZzQG1ISa9hv5vOil5vulvNjzkzVki19pt5KnHtg9e40VaYSyJR7oiXI\nydbZV7Z5KaQfXdpSp0iXUe7C5Pnb5tmXZd/qmn2Z7vv1Wmihq5MW8FIHXXTRRXjAAx6ACy+8EOv1\nGn/0R3+EBz3oQTvLvdWtboVPfOIT+OxnP9vkk/G3utWt9i7jyEi3pts429o56kk/5bRK26QcazC2\nKznkIKapfFh51WEkI5JLkvHzJcGcaNAem3NhVR5yoLBUi1/txGVOZpqn3HbEQaro9a/5/FUC7+Qp\nRhBWYtFKgF1MF699Ggq8Lou3reLOPW0Spzl49YWavCSBhG5+Mi5K53if6wSOYnfJQ4kSKCoHR5Vz\nKckZYgdVA5g4P/LexfsxwKiAHLjkQKGuEEB+KyPQBkQB4EV+m6XBIQDdXLZiDgNFIiJlEIYT0ipL\nQ5YRTyvFC3G2fjx/gLT6KqcZ4EFIGvzE9/r9T3i1tEWcbLfYXtbDoKnjKFZYKn7hxzLWAB0gB0gh\nP/N2ck7ZyVs3EiEtnsbbyzl48EvYks4F0ExcHWSABz8BcVs6N6pm2ZVF7YC4RRoDg8ZwkNiyOj4+\nl9KzDia5NRoggEGCeLUiF0BenM8IpORsV9JGvYI/gn8oPFLKF+aBE+GUytcBom7n+YyykXTQyvOO\nLoD7gs5s5SYXdKzEuxEMISDVOREWgVwSNATBx9eH4trlcrJ3Qt4zIAgoVy4CShCR5qmBjWogIz70\nVnI14JEliwx58r03DhcATDm2hOAGF1aTI2wG3jbOC7MGmGnbtQTw0Xyyj8uBSwwYyttuUTWinDHo\nYfnlOfHoVY7kZxY+e17WnA+e5Znt0OAgiLSy17egyBqE1AImJVn5hEUujznzPl6Wb85n22XZ5EBi\nlSTRcYHEykocL/wojgt+UzyA+J0ntVHSDjFpIxvZFul4y2+VpMFK+yDZT1mydZjWm3U0nXbVZFly\nr+vE4M6rm04GGxZaaKEjoec973l44QtfCAB4wAMegNe//vVYr3d76eVcVO8c1i1ucYts+7d9yNg/\n5Z1TPsdhUw/PNjZY3pwTvlLbJosv5a3X3jYIaO7nG/al0+zJFMioTXkZmR8dJ9OXTlIP+Gk7Sl46\nW8heb/STwyNK8z+u8MFq82I1z9kwoRDLUcU9B0r+XYqDoH9JYdpWUM13nUstv7wmd64unbfaeY6M\nWrqWrJ68tPRY44G5VLN/TllMyd0n9coV70V3ej2OmjOukvxzqNU5bdNxSdutfGzbEZYdXSm3VuZS\nhrZPj2FbpOX35MvuXus2TJ0te1r3lu5eh8Wak6iFa53alhpfD4W0ziGbm87EKX2F+KKtCwnm1EeC\nnw8qptDU3Bbx/FUySnoP+yJ7Ri19j7K4eknuSuKl9D0wCQvLU9nzgBbJ2b8p/vJ7XTm/meZ4dy/7\nfD647ltq/t3ATDXSdetaSss82HWKlmKeoC984Qv4ju/4Dnzyk5/EMAz4gz/4A3zv937vXmTf+c53\nxnnnnYfPf/7z+PznP4+b3/zmJt8FF1wQr+90pzvtXcaREaljWxmSegdCNQetx7mr6aqFtUjbIIFM\nNYdzyqEzInTXnC5td6L2K7I03VVq6vuBpZ60y50ajuHPrJY1CVyTywDS1m4UtnZj/nwqR27zRlm8\ntEfG8dQP25iPjylY7DJAlJSpt5Dj1ZeSU5Rylq5TevlrRtsuXg2DS1iu9qSrTO4MJmc4OWijhyNh\nxAobeG+f14KSFZShUwOAkQa/vVVYOnwg58FueqAQABF0PATKuj4IHrn1mgDDxDSA76EIaWs4uzKn\n7d0YYCTBQRrY5JAAUiuRTrZVDDCSoKXRkD8gAZgEqCjzFFkmb6e3ggdIaW/SpfQk9QJptR5ZRuJV\nI3iwDZPb+K3RWCYNAVDjvGwNYOIfVcahDCECpsBxLjyWoCd+qBcyEPgQVjYaWHawexT2ymdJFLZU\nQ3o2Dsl2ECI4KFsIjlJVIQAUtiSMg1Qe0AY+BjnJ44DzinQG86kyiD+YEuNZBiPJrQB51SUaELd7\ncwFcBqFDHgxC4/xyWZB8Z4x0Jg8MXgleWqt7C2jEdq4Vv7WiEoOSNMhIr7ikw61D6hsMvVC8pHgE\nr1Oy02pLAbg0EEYCRiKMJMFBqR3XW8Nt4LdUQwAF5Ss0yQGobNf1AFK2x75N5m3apigfZFs60/WY\nhaX+T585zyMYvAXIvkXe5/FkynSF7vrB8nQ582pVvQN7i6cEOEn+mhyfR7GGeEFECICnikAn/RYS\nhRgam95ZhNydKvXpYxvaJb1rXKt2ehJYpeNIhNd4NU8tD12+60ILLbTQQpp+8zd/E89//vMBAPe5\nz33wxje+EaeccsrOcu985zvH6w9/+MNN3o985CMA7DmwXWUcFaWuLO+ooo8hvATX7Oy3JT3zwqF1\nnflcgu9odZec/Nm6R1bPSblCdtKZnIBSZ24TRf384yupYboc+RnoVb63Bxylz1X5k+2xS89i1SzO\ngVYpHGEMKeymkBcOIzufpjUCqa+Hm3r8C6frjLqX8bK6Wf7rNj5tr0/JRljytU2161q8dQ/jfluy\n7KzFta57ZPakBeyxiQzja1nmNdp27LFL+ZaNz35ojk1WGc7N077t30b3tjZY9adHjtU5WOVGxrUV\nVkun82eda/qs9DoMjfhdqTaOrjbUFd1z7G3Vh7yDtvmnyrNFoZ+pApcq95kKQ58DkCa3cw+oMJf7\n2NDZOf5PLEtmfChkSL9r2hvYDuiS9O/y4nrS8Gd7jq/dVKfw1susvcN5bkM/OKgsjzk6Lfkyrpfs\nedJST+7B6bleScsE2ELXLpr+UnIdpi9/+ct44AMfiI9+9KMgIrzqVa/CD/zAD+xN/nd8x3fE6/PO\nO6/Kx3GnnXYa/r//7//bu4wjpXpvYvPWZDAVo+hOkvy7Dnr2Qdr+2kC4OJw6gPhBLBNsHEI+rzig\ny7D4IAf211z6Y7WudFBqkyHyI21taqg2mTL1qOofLCn7IMpx6eyi3mRDeZWsYOCPzjdvzZMDheRW\nPk6d8/B8i6LSzppN0j3WH5T9x/ByESDKrr2dq5gnXTEdfN1KJUV+S6WBMK4QVy7hA4QIIHB8LcEK\nLF6vmKIBEXpVFr1aS23rqBrAQm5XxSCLtTjLVV7W8CvZaACFtEtuZ3UMadstKe8gxB2I9KznmJKx\nUscaoEOADuDBMeFa88S0hwCtA+8KGA6B1TFgdQgMa39PIi2tE/8gDuLVoYIuTkMi3XAQjsMEzKEh\n5x3WQXewg9OsjwHrA2C9BlZrYLVKR7R9BawOPN/qINgWQEArI93qAFgfetnDgbdf5p1E+mjrEOSE\n5xzLeUh2kCgPLquVLKtV0CfLlW1eBxuO+bQYwvmw8ry5bh6GZy2e/2RdPRDhgwg7UHx83bJB1/cD\nxa/rLPMdM8I0oEi/l9Y7xXmZag8soBWflW7eDs4vqkPx2BCwWQHjMMAFxBivtuOvCYyCS4AaBBBp\n7jrrwSWAyJv6vNQ+T83r5G10OktAD28h5+OdMYgGNMgJyLeac/BgLOuTSEll78SW1gBMul+2pHGe\nU85lL9ru/SXIqWZtrqM+O5ZyY/WDIdxZExSxctnXDoW80vHqPCyaN7vSJ9OiVqWtkdQx5btP+cQW\nf28erm5/f6GFFlroGkgvf/nL8XM/93MAgHve855485vfjOtd73p7kX3mmWdG8FFr/upDH/oQvvCF\nLwAAHvjAB+5dxv4peRLynin5Ij0fVOZrdpW73CZtV/5prcatpeXzC7keO1flpx7rc0upvZQCYTEp\nuVNU+pfbTAzmXmzrA9k0jL8FmtL1qZYj+eQSiKlISFKqyIdYYpRXdZa+ol9lNA+Tdsk0ThVnvNQu\n8dTRym6eiT5f2Tr3XrPeVrx133NYK3db+WnZbr2MvVWa1LmWnxZN2WTx976C+x4L9aY7StpGvpXm\nRIxvpurk3EOSfJf1pLVlh6W3Zbd1blHNvtq4tRanZfW+u3zPP2DdtXx76kztnajZ27JdhvW8r3tw\nfxww2WcQUh+l+ze7iCgXmX130xvoev5MH7nMnuijUHtuaxryI/r3GaQlalD9PCLx36mY3BOanl3s\nqwC91aTNl1dsnju1rJxfKuUzS/l3Qd+0hbbkxrykmjir5aRnlnehha4JtICXKvSVr3wFD3nIQ/Ch\nD30IAPCyl70MP/ZjP7ZXHQ984ANx05veFICfILLooosuwhve8AYAwPd8z/fgtNNO27uMI6EpB4oU\nX8vx0Wl3GViwo2QN0OY4g9vonZLVcoyLwJ5uKHSZo7jPgE4IH2jbdvkJiyEcOdTHQX4WLZ230iIJ\nG8rDp1Lp1Yla6VvykgX5h1YY5zIMYABTAix5F9cJu7TrlrsTpdwSFJVc09wtGaKe0jVMbmSSacvV\nq2L4FZg0ACrxxg/wAbAWVyqRqgeXgAIScMAZsIAL1sorVAlncIMlh4EhGuRAhh4GY1jAoXUjTgOQ\nDOCJBBNVwSNWmNSp8kzH/IFjhgzWrQFcAaDDIBoG9RSHABuRBM6sjCOkYbsZJLU+9ECgCDJah8OQ\nMQwBxBTSMSApgpkOEugpA2AdhrgVsGYA0Ro4PJYATgXwKPAwwCgCoAK4iYFBMb8CLGTmnctmnZeH\nPth20vVuLZ5XpT4Mp+R2FHVc1xfJZ9WLY8jBerruW0AkLaPGJ8F7+n0kca3fUQtoyLpqbYJuH6z3\nmvIzbxdXtCncBQ5+Nbm8fRxiW6yH4H4eaSXaantbNw8IGgLvKrbjbHj+uUW2ubk7ruVuoEGunKbs\nq3z6/NOQ7H8k/AgiL2yX7gMt+chk5H2yNR/V7pPlfwn4avkT8ydvpLZovxMHSPmcyV+KgG854SXS\npe3jKPlVQk/zumdy9ETQ1EQp1DVEmCbLTW35mj1jAT0OqMmwaB9+/MlIVnt+dR0LLbTQtYb+23/7\nb/ipn/opAMDd7353/OVf/iVucIMb7FXHYx7zGAB+1aR3vetdJs/LXvYyAMBqtcIjH/nII5GxP5Kf\nKmxyxdW+Oif5QSnZwn5n6UqUPl7ZabfipLbSH7R8SFtWGV53e1IaOUMip/am5qFyn1zL7ad66uSw\nbPOR0csrZ3lKUjkVK0Nk/rOrlYkIC/5uXlPkmMFOVogjxN+ItIrUOZQrWvfMw/bO0U7xtfSh81rq\nsnQXmVZyrLQ9VLPLim/ptmTW7qf4W/bVeGtNCdcNeZ6ibZvP1mt/IsdevbTrGHGfY6DWuHUfZLUN\nVp2x9E+1DTDCLWrJsfi0XKtdmbKj9X72nKfaqla7MNXuTbWrNflT7fUcUnJ6ik9PQ2QRJMO1P8P+\nSPrrNlMtBuCU7Jpv0Av56bYD6dXJZwH1rN1+qAXizrXZ8cmLLctAxlFWntNl5oRtbGf+kcqyZJuj\nRb3l3H7Z+HvolJuR8rH7a3dS09U997XMg51QWsBLBl1++eX47u/+brz//e8HALzoRS/CU57ylNly\nXvGKV+Ccc87Bb/7mb5rxx44dwy/+4i8CAN7znvfgnHPOyeIvu+wy/NAP/RCuuOIKrFYrPPe5zz0S\nGUdCvW15Ld5Kv23LW3Ou5srqcd6mnLQ0u1L+wqDlCFbDKF2P1G+LADHpSSbLlUp7NQUel5uTc9d/\ngVaLa/3+LJmd7PPFlzshljxAr4DEhS/DdLGWFbLUIwFHg7JPx6dw68htznXpsiltTk6JB1Txx3f+\n+DvAAkZRJof1rrDhj+1O6iSMjseQAsxEYfWlwYVtmJAvOjHk95mfyIcEOtRWWiEVziClteJjAMSB\nCqut8qJBIAw4kgAkvepMDeS0FvxyFSY+yAjT+Wjp4XsNYKoBYUT6uHKQuh4O4YFRArBkAlhC3qii\nhwIgaB1ASSuxUhHzOFX+vGrR6pQA9gkrM5F+pkPSwTbzikYrCVaT9qxz24Z1sotXRSIrnwKQZJVD\nXIlp7ctsOJb4Y/hayKiVJz97+WxbKyXpuiHTaL4aAImBTNaqSzXZEoC3FnKm6pz13jUAW4VM6523\nQEyS12pbRBs0xsNhHBzGARhXCSAzijbOAUBs/+RWcquin+T+RLbNvu1dIW/zuQ22+6q8P5L9lCY9\n8E7pnUqffzbJ+xaAt8TzYCypGxlf3i/mOiDsRiaj7K/svjrvx+3JDrvPTM/NKrt6Hy74nQij9rRU\nnIRygKxgxF9oav6aeVB+bW2n1usLxn0s90T7lGXZ2zsm0PetdDK8JbtnXmmhhRZaaCG8/vWvxxOe\n8AQ453DnO98Zb3/723HjG994lozzzz8f55xzDs455xx88IMfNHl+5md+BmeccQYA4IlPfCIuuuii\nLP5P//RP8apXvQoA8MM//MO47W1veyQy9kX5lI/yOaD9kBR+lF3TXPBMjd/+2Ca9LTmHVDo/rakx\nLXN6Gk16oLkfOgUY0t5xHtNDZdr8To4Ttj1a5VO3ih+GNQLQec5GG+TvazotN6y2igVkuEwj4+wM\n9B8WqKWvcpV+NdS15Xe30mndlp6W7tbZ0keV65qeGtX0Wek0T80X1/wcXnuOU3rnjBW2JUvOnLpY\ns7+Xv3U/J+0+7ep9l7almkxdt/l+bllZ8nSYVV9r73eLj6+3rY+192YuWW2ZvJ8je6oNarVzvfWG\neXqBqxWQa+xP1H1t6iALl/yGThIrLWUZJ/mTdQcio2+l/N4LLIuhzxNIslzMRR/ZUx/sOeVrw7co\nWZJLy72vln8FwZn0Wzpqtui4dJ8OuznQM4C6YSmp7gfPo2TD9CRUPsvZOpy4ymue5CjDF1romk8L\nRsygpzzlKXjnO98JALjDHe6Ar371qwUoSNKtb31rPPaxjy3CX/ziF+NjH/sYbnjDG+KZz3ymmfZp\nT3sazjvvPLz1rW/Fc57zHLz5zW/G/e9/f1x22WX4sz/7M1x44YUAgBe+8IW44x3veGQyjoy0UzfX\nydP8+xjIcJt/VKT7u5qDPDcvUx9lSAeKDt6RiHfiB1qJzwGgjE8rTI6XB8C4sKsOd6NlR7995293\n975LH8DrHnn8cdp5l52q/J4Ej3R60i/3WEru+KSy4StZjUk4DX4roTF8BtbTRTlGOh8LyA+5Q/gW\nOWa6S1d2yPLNutL8AKl0Q5Do1wEBID76st1cogM2IXZ0BAof8YeQGjSGj76j3ypuGDA6zncoJyee\n+SgGFfLRQt1vUNZhXjGMkAYtKxF/lYpnWWukgQ7LG8L9EOIY/LARskfBx3KZ73g4KNzrAZ20bwxy\nNwafPrPtzDcgz4/lX7ONnD/pocvXnuU5g4/Fswcw+rEZjSkuvu6knmEtT1KuUCvDorwhz54lw6RB\nnFS+nD0uLLuOwYgUFVgOggtetr3Wn3Gd4bMz4jie6xGD27Shsv6uBQ8fa8Uv86JXKJIAOq1LvrwS\nzDQY6TWAiAFPMt98rUFgFoiQ9dVWWLLASkMjTeBzBIy8+lKMoyjDrRH6LYIjv21cBGQ68mdu2x1h\nQwkQOopDtt8j/OpI+bZuGnAjQUwoePhIVUDq1NvPWedcLpTcMdrAD9zFtFxZ+VpPPZTXecXjeL1q\nVUqjp2K8LXblTySt0KAqi68OXJLlE66NrW/tiY9CYNbXZlFmAqNlisKNuNx9s8P09T6OHrLsaKXV\nbWWL3wqfkj21zYCU05vHhRZaaKHrKH34wx/GYx/7WGw2GwDA2WefjVe84hXNNE94whNwi1vcIgv7\n4Ac/iOc85zkAgDPOOAPf9E3fVKS7wQ1ugNe+9rV42MMeho9//OO4853vjEc+8pG4+c1vjg9+8IN4\n29veBucc7nSnO+GFL3yhqXsfMvZFyZvp6cTlMGMuxKhugdZg+SktjXoeRYe30nKslXf5UYYlQnC2\nPqDJHCT7pBV+YMzD+B4bbR+SGiUmtc+l5PWWHye1fLnG6jaQJ/U5iz+sOpFPCoPm6Mz6+Tzq8JPi\nsNaan4Dp0QrdR0Atf9LycbkS7vLCtfxZ677Go89zddbGBHNITthY8mq6Wry91OPzS7t2fW41nRy+\nawXdR/5rpG2TZT5lt9SzSx6lLsv2o3jBa/nrzbdVf3TYLnZM2WaVvY7Xk6ateOvcysfUM9N52eY9\nmLLD0juIONlxt3RMRTv4H03vqb5nvb0TFw6IH9IEi+9bSx8qAYvnV+SUnekHM3c6R+pIX6usOTTJ\n2aYpLyX3APMKR5BlnuYhyzw5gz/Pj7TbKY+Koua80pW2zqd8vpUK3S35PV5e7sDU507zudWFFrr2\n0AJeMujTn/50vP7Yxz4WJ19q9IAHPMAEL/XQarXCueeei5//+Z/H7/zO7+B973sf3ve+98X4G9/4\nxnjRi16EH/mRHzlSGXshq8e0nG3psFh8rfBW391yLC07Wk5aa3AzRbUBBpPMf49+y4GVERNOn2No\nSpw8IMQvbC7ICffe6QvuFjlDp79PDsOAMazf4JC7C5ZTkX9gLD+QprTWR8oBDpsoN000+Q+maf2I\nXC8FJ0JOKrrIZ40VeiYRpTtJMX1erZIDk+Qyr59ok7ZzeboANRqK0kvk4UabkM4/Xy6NBGpK01kU\nP1g7OAwBxMS2UKojIIxY4zgRVgFRtIr5GAOIyedpCB/5HYMwCB4owOQAWvmqRSvk9ZwLiYEIHCYf\nBqdRgJrs4TCAaaXiGcAkZchlqJkGJKARCR4NImKAxkbpYX5CDpBiwBMDmLT9Mg3rYTu4LORZD7z5\nXi+tLW3W7az+yKveawJyYNYQxmayzPQoQsgipCYjgtYEUchv05WujboabTjJ+xElEXLAkQaGAfnK\nsYHfEUAbwSOfiRw7yDiNxZD5kcChQd1b7b14r4oVjfSYRV9LYJCsZ/pah+lVjmS8BhJpmySftYqS\nJcPaBrLGa4GXNChK5iPk3YWVv+QqTB6wpIA9FAaZgwcqbYiwwcpvjxkEp+3V0iG354QAGAHTA88E\nIspJ9qUjGDhVHwBb29zJFQFHINolbeOeNoUxyf43r2BOxDsRDnB1b4OWIGzVPFY51Af6Vp5LO2RY\nyoNqUBx3YIUJyWaHjEf+Ss/FzBHinoS1FzSutqT1OWSrMtmGpGvdBu+D3BYHULZhNbuZ1wqX+bHi\ntE6dxpJ5HSC38sfVTSeDDQsttNDudOGFF+Kqq66K9y996Usn0zzkIQ8pwEu99OAHPxhve9vb8MQn\nPhGf+tSn4ipJTI94xCPwyle+Eje60Y2OVMY+SA8J5oTtQ3spz88GzNXVmgXpg1nlXFNpavHW0C/x\ntz6LTVtXBxHVAEzbfs5CtEyubSS96twrtkujt9xBYd5F8Kc5sxgAHrOzLZRVUHbquP4EoY7EahQo\nfK6ifFzS1eW3zvU9WWlt3kBTbcWmudctn3cOpWLu86Fr/q++7qwqZlqtp5dq/vic8up9NpYei2cO\n7doYz9E9NcZrpdmHndvKaKXrrXNWOqpcW/J1R9qbFz1enUrnKrzblJ+Vx5o9tetddDHZ0yjTaXvt\nq9mq5xx1/vdIcR5aya41QanZy+ez5DwX7yyh1gGI3SJ3cg5DVib5tygfosPmvDZynfcWaIfNm0Ps\ng5QAJoeyolg0VVnLeCv/3gY/h1bzxKao7AL1nS2zz1uul2z5vHN+PRu5q0cpn1X5PRWo1ZNrG11X\n5sEuueQSvOMd78BHPvIRXHzxxfjSl76E61//+rj97W+PBzzgAeYPhCz69Kc/jfe///34n//zf+Iz\nn/kMnHO4293uNnt3rg996EP48z//c3z6058GEeE2t7kNvvd7vxd3vvOdt8leNy3gJYMe97jH4T73\nuU83/zd8wzeY4U95ylPwhS98Aaeeemoz/amnnoqXvOQleM5znoO3ve1t+OxnP4tjx47h9re/PR70\noAfh2LFjkzbsQ8YJIe3k2LMSdpz2K6w0NbL61NaAqqZjH6QdP2sgPksYECcaiAWU7kDiBRIqwYjX\ndmZlRyrcBVbZYevuOU2iuKICJGU9k09O2JlPxjBIJ7keAOLn26RN8uXn3KYEA0rugYZeeWuHyOuB\nRwko5cBIA47tcVU9ROi4KBGvK62W5GU5rCLcaMQAXl8pWZisSFNjq2CjnLRjdzVh0QHCSL4XJudA\n5Fdh8sC2AJaKH/8HjMOIIWSPKHj3Q1iZaxWqiR64SKCTBp04pJVnWukcPEiIAR18kEgPpFWTtB4J\nfLhK6ZErMTn43nITZLEe1muthEQhzXEVDnXPvAzKGJGvKgWVBiotH2wD69P8erCo41S5FO+hXrKX\n0yowJjctjm2CDyP93GS+NOmyqvEIGQRgdEigAtbZKkP52kvADp/4mUvS9VE/Q5knWQ8lAEfWZadk\nSRtHlECgVv/IB6ex3h0tR4OALNASg6D09nCEOnhpLnDJKlutT6+6ZKSJqy2F61g5CHDk4FbiUwd5\nAGZqK9NnjBFrHx+BSyUoiVdEStt1SuBQ/ZcznIZA2ECv5CQfKFevVq+Yk+Qflc0QeQHyXlfqzW3Q\nPbPsY6Rt3Jfmr1g652Wc7K1/kmlNXDgVZ33CskBjfp6JwqpLeT5jHosMcAXS1oUggpcn44s2WqSX\nWXJOBVRk6DCo8BppO3YlbUuLOFuar/7A6zw9cVa/uI88L7TQQgtdR+i2t70tnv3sZ89K8zVf8zVF\n2L//9/8+yvnmb/7mZvpv//Zvxyc+8Qm8853vxPnnn4+vfOUrOPPMM3H22Wd3b/O2Dxm7UO5PONHd\n5x2hnLvo9+x2IfaHcp0FoCVytztNPY9Tcpd5014Ohf8SsKM1tMomn5NpW1im7HMK/PC2Dp/fjqTP\nKsuJPXcLTMX8ZYmm/5ozDyOXO0RRknTYM9n50LTIu5lOiRiRb8VTIwtQ1CJrHqTG1/IFtS9du67x\nWzb13NsDpPI8NuJr9tXCWrwy3JqH0HGapuqBpWdKhjUsmqpzR01HqXtu/d+1Meodu83ROdemXpm1\nd6k2vrTSW3rcRDyps2WDZae0yxq3ap21922KWjrNuYaJMMummszaM6j9mN7Km7Zjm/erUn+iWS63\nKZreVVdFxl3y45xKS3CQO5BoCLKfa0S6LrT0excEXt3cp2zNn21DaZYsFdqY/Rivnm7Ka2ytslD/\noSJVZOvJYmse1/pxY85n2dBuFFo5PDHevKQ00sjnYXOO7V+vhU4eut/97of3vOc9GEfrV/qe7nvf\n++LVr341bne725nxv/7rv44Xv/jF+PznP1/EXXLJJd22fOUrX8GTn/xkvO51ryvinvOc5+Dxj388\nXvrSl07iX7alBbxk0BOe8IS9yHna0542i//mN785Hve4x+2kcx8y9ko9g59ae2/1Ha4RXpPV6oNq\nA7Gp5Sv3STpPUw5vVQiMcvAX4+iwWiH/ZZUU6OAjw95LfJvJosBIaRu0IQQ5ytecKK2zppkogG78\nsjdl7LQsy0mUqzalFZko7uolR9PaJ9fjbBfSJh4NmUo6XeRkwJLn2gAB7sNwJhJS5cQmpx6wwRCg\nUAxU8jFs0wheo8nnaIVN5vSxA5bSp8lCX1pDtDCtqCRd9QBpIg+JGpzDGNAng9sIW4LzPABuTA58\n3EQ6vEdObx+n37E1EngIIe4AORDHGkhyDyZ9bUIOJJJntokBKaOSpVcwkgUuV0XaqDiWK9OwXg4/\nLnTJgZ6UI+10Bj8T26e3nHNIK/ZAxEl9erAp0wKpDLW3K0FKnP/G4JP4n0xnTVJOtc09EwfBvkE+\nh8oqTJk8BgfV2nsG2ki7LYCSfG5Sz9RhofR1fi0QEudT6uTnuFZxmlfHSX4JEiIVpgFOEogk5R6o\nMAvEpLd9s3TIlaOk7RbQSpz5FxgRwETOAy0JcAOpVZfCtmy8LVzYLm5D69APcnuZBrajOI9ZQfFj\ncBl/CVziTSHkikryHhHMNEYbB6F3iOdR2ZQGqkOwLa0YJQf1XF34nPKZg51GcC+Zv972PJQTdnL+\nB2VXOVmQrm3AlyZufvhFbE381MFPFN9b2USaz81R6ueYJwM+eXkk4lIkJaOLIzhOuo2Gca8LACpe\n91eWzB7ZNVtbW7Ntq8uqUL38tfhW3FT6hRZaaKGFcLvb3Q7nnHPOznLucY974B73uEc3/zAMOPvs\ns3H22WdvrXMfMnYn9qLSiFt2PhoOXpOhvaHdif2wZF8JPp+/zVxND1MafiYIPcuzfckypl1WpYRa\nLhysn9fZMrik5umeQ2wJf47M7Z4q7zT00/NrBEd+3ibWn7BN3BCc3sjvcj1pnsgF4FFykvVUDFAp\nG8Ffi2v6va2jVhBzfF8Zr+daaja38tK6t9KTEVc7t2S1wlpk2cPh2zYzU/b32tIbV6PW85wjb9fm\ndts6ZfH1zIH1NFRzGrJd8r9Lg6nTyvpkxU3paqWT83VzZdTsbNnI1/IMFTald65dNd6WvTK8ZsOU\nXXP4Zbo5dWeq3SLB4lRY3l0idIsikrLoWm8ce2wHDCRny3jezd9PzVMxT4s4m366xyF9Tdrv1Eaq\nmvIn/L1UPkRv9zBRBqMoL9t/tDSxlU6UoiWjJcu2i4p4a15y39D2baj0Z2VdPVoPdqETRx/84Afx\nNV/zNbjvfe+L293udvjar/1aHDt2DP/8z/+MN7zhDfjABz6Ad73rXbj3ve+ND3zgAzjrrLMKGR/5\nyEfw+c9/Hl//9V+Pe97znrjnPe+JX/3VX8W//uu/dtux2WzwyEc+Ev/jf/wPAH5V44c97GHYbDb4\n8z//c7z1rW/F7//+7+PLX/4yzj33XL+gxZ5pAS8tdDTU7j9sXk01R0u2xdZoWsu25PTo0Dz78A60\nLO181eI5kIAIDLEOqPSZDILLtosD4MKkB3nnjhuZ5L9R6WgjTL5FpDlP8lAWr0kDjVig3PItL5L8\nocqptdovBjmdhhd5PSsQjoNXSpKTU7mN7Ait4HBcVTkp2WX88uxlDSF37Njw1mwlLClBnVyMG4U0\n79al9ZIGUT4uwL+ADdK0XKoUudPF0ilCllaRjx2xtHUdADgasIHD2m3yrZZcAALAf7R2wwgaAUcO\npOolby1HDJLRK84wKCFVA0+8chGTBAoxMbhErpTEcuU7pVdfklWEZfJ7yCsxaRCMtH9jXLN8WcWZ\nZ4Uc9MS6nbBZ8usBmX6nSaVhORKEJWVwnDPipN7agFBeMzjluIrTNg4qXG5Lp9s8Tb3trq4P8llq\nAJNsJ3uAQyxXApj0+EqvAAR11rbJg8vRbK+V7BYgiXkHda959ZlXNZJ81gpJMh9ShgVoksAkLZMA\nHBrpNJ+1cpO2lcr0cns4Prg8HDkPXuL2KwMxwQOXiASISQ62E6jHD7MlAEmumpQAO3pQq4FLFjBK\nysiBTVo2p8/Psp13mWzZXwDIbJPhCPmTfYF8XfMt6PiV2IB/nVWCuWqkJwBaZJUvQNV0tQkFB3hw\nEbwbVayUJM+BGNOd4inxuXCv29NMobzRnZJUZKTXcnTfpW3vJd0G67xbcbW029ih+5hWuU3pn5v3\naxltVsDmJBjJb06CJbsXWmihha4uErMnKDumVgdvS9Ofs8pPKNsetofWAsvsAp5KLnt93kby6XIq\nbe0BddkApnlAMC4tbc++noP1PHLrpp5JPT9yMiKNXpyUyY6t4wPKr/J8aboizXOZOoM60lFTvtqc\nV8OSNe+1ykn/oKp1XctDy54av3U/xWvxWT67RbW0u9itZbTy0WvTFO82aeeSlD09lN1u/LVreI9d\n+5LTWw7b8ss0qbEp4zW1+FvydbqavTJcp9M2kEpXs8maBqhdW/KsfGjdVvoaT97Z1NNZaVpTPbXw\nOWU1RVPvnYgnIO2E2tLnRCT5gOgDmO0jiQ6P1Cn0n5S+zGwDcilN5h54mxetj5L3wF5tXthWPsqp\n7HxtyVgeKm35OuQ5tt2DWt71RDkVXOUr3H4uOh+2tKN5Dr1U7/rtMri20XVhHux973sf7nKXu5hx\nz372s/GSl7wEP/MzP4MvfOELeO5zn4vXvOY1Bd8v/uIv4oUvfCFufvObx7AXvOAFs8BLv/d7vxeB\nS7/+67+OX/iFX4hxP/ETP4FnP/vZ+LVf+zW84Q1vwOte9zo89rGP7ZbdSydyfZmFru00NXiqUc+3\nLqrw1Qaylh0tu6bitsmXRVS5ntKd2aE+ljkrjtQhlCq9Dogf8fwcRj4lYorP0lOxEkHt4yHHpQLQ\nHyWHQr6Wad1bH4rzj7esa5Vt8yMPFB+JPeBpLOxMOpIuIP/AbZdFecCQ52WwbiuP6SN4/rF7I1bl\nYL5UzpzPdK91INMhVvigFY5jlcozbLcUy4qGsKqJA2/FlA54QIFeocUCSmigAq++YoXrlV9qK8Mw\nGOIAaTstLUffM7+0QdvUih9C/IHQq9PUDuY7rPBzeVh5OUBpD1+zPJZv2Wals/Rz3LGKjQeV8JXS\nX8vDobD3sMK3rpTRoOKtZ8Ph8tB1QaeTNvP1IfLnJdNJ2bqurA35Wuch8nLU9dQqU5Yrn3VNR08d\nP0T+blpni792WO+ofC5UeV5USU8pjtsZxG5PtUFEAbAUDm73KLWpG6ww0spsq7l9Z14XG57UnpZ9\nWmpLN6G9jas9qbPdvucbn+p+JvVvgOwH8n4S6jr11WX+yhWeNGAqP68Cn38wWm6pw46zKJVDPhEh\n+2MrTStcfiZKc1RkHCItOz6g9H1Hn8VRIuekvyPOLT8uNz4/S1G1+ymyfGn+iFNfkbiPanlo+dCW\nX6zPNWqNCfblty+00EILLbRQg+b4JH3Ugq7sk6Y7yjrsxpZUP+pwG+nr5p/qLOvqNuQ8Wn4tXc1a\ny52xdB7Fs5qaPbIpxusfI1pnM33OwB53+pGdiOCiGmVaU+B+qHyg5bWls5hHDQepcOu6ZQPr6p3P\nlddTNmuyq11d15w8WGVpyaiNR6z4mh/eY9s2PvxcPTUZU7YcxfiiJueoO4Ce/Ml3ZFvZMsyiqea4\nJl/zW/Gtulur6y3emg09PNu89zWaeod7nlfvNzUts/VsWrqt9tbSPffdmuIl1UwH/jhVYxniPC6J\nGNw7pVucUzblCwSz/9b9rS269Fta6XYlFzRoPyM9lmm9nlfOudW9GRlv+X8W1WYOdeXp/QZXSirn\nDVPuJaCp/wU+qmeWv1b7HocsdDJQDbjE9NM//dO4wx3uAAD4q7/6K5PnTne6UwZcmkvOOfzar/0a\nAODud787nvWsZxU8v/zLvxy3rdvHCs4WnQQ4tYWu1dTj2DH1Osg8UJKrTFhy9k2yP9zV2dQzInIS\noPZhSntdTQUyyAFEGEcHGoDBEUAuTWhkS7q5ih2lh+sCO1FyZfJkLvLV5hFSxy8dDb9syhg30cnT\ns8PBTpUzHKzcbimb3TE/FUPq7GMp2M1uxoBN+OycqihFaTo9W+wXAvJf1kf4dZw0P1sunTcS97w6\nklxRKZVIWorUS/OrII0grJAmmfhjL28f58CrXbl4zU+Bw60zKK3WNPKHWV5iie9XFYR3qARjSEI1\n2GwyMFUNCVCqPeZD8PIffjUgljGKcJZFgUdiD/S2OA5py6rjyFdGkis8DUirD6nXKLOB7xl0wSsw\nibIp2gYXbHTIV5+yeEcjbWvrNGOwVcTpPMl7yaNXlbLaZasfkGVvraglaYV81ZGVYbdlp05LIm3R\nrqLMO6lr2cjpOJat666MQ+Ve6+W6CaQykXKlbPl+yLgBZXnqFZf0SkxS92FFl+STQLEVcnuGij4Z\np69XSgdVeNXhCBhXSKsuDfkxDsC4SmCYEWGVJVLXlG8LVz+n7d3kUDmBbeQQWqYpB+sU2td8QJ2v\nzlTGl3K4ijCwqj1RYIOLUp4GITcHO3nSYbLXzz0ASc7gkz082zFG+VTEQfBLHckL0R6Iv3JABFk7\nkaiY6iBAA48cKKShwJjHwyECvzPF1tZwHAanfC/ALwdl9qBKhhFm8UwdsgBRCdsnWW2dXk1qTl4s\nvimdCy200EILLXSExL7KPiAtaYhY8Q0i9WkruagSOs/23PuaT5bnxuHby025GJQnrfn0p7PaMFY+\ni54ysoBSbQhYaXuvLpYuPXQAIHL+Iyx5N9NvI1cOZSGuc7uCzOjDIjsImPbXpny5vsyV91b6Xj3a\nH52SVbPJsqt23fK5+dzyi/W5txz35QfXxg896fahe9s0vWmtZ7lLwzYlv0c/lA01GfuyU+Y5b/j2\nS6lzSzp6bLLCrG6tV/c+n6+WP6V7W7Kej9arbZibV8lf6yCscq/padVlK13vmL7V/in+eMt9l/Pf\nJnSivFpOPUhAZ8QB5RxPpqG+4k9ZTE5ckbgSulSKbagE62gvQFpj+VDemlIOc9gPSX5Fs3Taj9tF\niQ5A23srqd7dt7wyu1x6qDZ/uy9K+fHfA2s2LHTtpa//+q/Hxz72MWw2myOR/773vQ+f/exnAQCP\nf/zjzS3hVqsVfvRHfxTPfvaz8Y//+I+44IILJoFXc2kBLy20P7Kch23W9uqdqbAcNqgwybtPp56B\nC7vIsBxKLVv2rlsPVphhANwI5xyIV0qSXpwLrgcNcNikyQgCPADKhQ94LvPHYmcYQFHaiUoOibQo\nf2i8dVw5VeNRIpZL4zL5SZ6eVJIfYNOUTglggrjSsgnpo3R67JSl0k6knApLm75Jy5KFLtPt4UII\n19wFrYKEEUPgGKLUdM38DgchPQXUA/P5PKQt6LxVg7ClcvZ7wnn7+HusQ7h2cEP4oO9G89VwBAwE\nEAOKNijrrgSaaGKhnE4PdPhDqAUo4jggAS2uCoeUNQpeQgJSMABKvqcMYJLAnVGd9TvO6dhGEuFQ\n93q7OgnAkVuY6fKAioOKk7JaEwZOpGceqz3i80pca5K26/Z9gwTkqdnCdstr2YToMrTqlZTRGoTL\ncuI6UGuDrbHSIM463onrQaVxhiy2ne8tUJ8GRfFRAzQBCZgn7ZDXLeCSBCRZKy1J3XKFMB0nwUqS\njwyZmlddu3CYwKbBwa1JrLpEaRUm+DCPpuT+pn2WA2VuU9NqR6m95/7geDBED1qzle1E/AYDNgp8\nlEj3HTboCcI+Jll1NeiJm5tRVMqcJwc95aAqG5Ql+12n5GkQk/yclHp6mx8oX3mXydJxuc2yLOO2\nuIE5+ybD13LlSgY1RSaCc4QxrFbZ3hTFINdxyAzqdFDxOl2PbpletlG9GanxWXa08jVH5xyyyvNa\nRJv1SbJc9klgw0ILLbTQ1UX5MGRfnU2aVxj2IHN/dpWyrKFXvwT+LXvuAVrytNfbR9N89oedNLcz\nP3+e7J8PaB1T9lke/DRv/ARbG7cXtpb3JBzjzPbgK2a75uyjetV84dq2yT165Ri/Fl7zq7VtrTid\n3uKT9rbmVKZ024Ogtq01/lq+a9c9ZW7ZqeXMJau8emhfOo+Sesuz9vJvayOP+STV5gR7G8A5vLtS\nK99yPNs6aznWM59bD1oy5JyfVVatOEvPFOm6o/OqdVpxgG2TNQ+qdcCI77FXU2+ZTBAJHU6VDc88\nuSIz/UpdZG+noeLByOatDnKxHpPbwk6pc7r50R6M/eCl9yH9OZZhEXu5NTAWwdoEl0TaE9PYuKhr\nO29X2tkCr21Lsh64vYwYrhm0zIMBV1xxBc4//3wAwDd/8zcfiY6/+Zu/idf3v//9q3wy7p3vfOcC\nXlroGkbb9KNTDnqNWvytuG0dIcvBa5FGdGi9Ot+TMl12MuP0wJwI/oNb7lB4NJJwGByZCwAQHDSS\nPLkyFF0PnapqX4zn7padkTyeQUwemyLAVVWZVrGUwKIxgnv82X90TnjuBCoiIOhlvIooEUBISdNF\nLoSwtCGsJmV9gPYfjlcRtCQhUfm016Ds4uu0wtIQtkBiRA3blMBO+Uf4May+5EuUgVDleYUNXOk1\nO0RJoCEUjgQwhWfqXAIwaPCffg8k+IhUGjlxIVe6sdLIFY6gZB0EeVchByI55CCkFYArkXvO+pDg\npeNCnhwMykMCmPSgECJPskzWQh7zsCy5MpQ8CLlcp9IAuR5NhyJ/0hYpS+rRK1gxMbAElTguOyZr\nIM/htfaR81lbbWpAWXctecyrbbUmOaRcKc9VwjlOr3pk5ZNJgpCA9KzXKAFK8tCrJLG3p1dq0nmW\n29QRSjslmMjaxk3et1Zk0vytuIMKT1hZifkdUbnq0oow0gq8FduItHWoPDbEW6DZ27rlZ32wbO5X\nPCD3eDCYV2Tiga8GBsmBpgb28ANKvxlnPfnvyDksAW1LYFE+EZLbo0FPJRgpAbSkPknp1XdRvo7P\n7ymGywmJ1qRNbeJEbtsnjyjB6TguBcSFkHT74KJhrEM0e9kqTsGvinp2IKt/LfrbRlqLz+qzLLLa\n9l1I50WHa/90V337kLHQQgsttNBCW5MeKOxDXgIw2UCXvs8gc6bXtEStVwLUtbVan7yzhm4UHX7f\nibs432NB18sZoj6Snwr7n02tvPufb+5p13S342VoLR/5CEKuYRqj4YSf59K9tQeycyqLuSwKh1Bt\nZXv+a1DzGyumVHX32CHD9bmWtpbn1mtf8+F7yqamW1JPmbVIpreurXLahqw5lbnl0avD0rWLvF3l\naFmtsB4ZOw41I8l6a81xbUut+lSTu21bYc0ZtmzX837We6yv90V6vqGnfKbKbOoZWp0uDL6W7lqd\naDkAFp/Wre9reZ16FrV0rboc4ogQv4vVK4XuS0M4AbzDCdugZ9k4SfqBnTXPps104mq6Iiar57+8\n1KGjB2yTP4Lkq5VHOS+pwVH6x4j52pilbQB/gtA627rs+VE7b6mstusI5NPeFbjUKjurBu6ja13o\n5KQLL7wQz3jGM/C5z30Oh4eHeP7zn38kej7ykY8AAIgoblFn0Td+4zfG63/4h3/Yux0LeGmhE0Nz\nBj31mY9Sph74zJkzmnKiWzp1WI9T17Jzyhk0M9QYrdr9e7CfADcANMKNAAYXJiDIz0Rop1qLDktP\nc7xzwlMLqy/lKq19c/V0VM5TIt55cst3+bydWZ5WO4B6BKJdQgZE8TZr/rNvDhwCGDjlr/0yOwwb\nyh8ffzzO11hy4JWlKJ6TI4aoxedMrrpE8TxiBYoWekkJVOT1pm3hfMgGaxA2wR4/kcU2ughi8vlj\nvMfK0M3lNQAYacDgEmjKUTi7ASO5mHe3qlQfAtwI0EpHZAXpSa7OxEdtFRy5UhKDnHh1Gc2nQYQM\nIpKAJT2olNvSOcGnJ3QYYHEcyLBjlvfOvBoUxTbpVR9lmEMC/VjymWdU9/JalmuteeE41qW3u5N8\nlg7N1yK2t0b8fKdIr65EKhywgVIrxUOKrzWgzscK9YPj9WpJ8npUYRqTwba29Mh0K8WvAUJax4EK\n03zWCkdaNoOlNAjJ0q9lSFnrhk4DwOQGBzdQtl2cG/xqSyPEqkuy/aIE9gHag91NbD9rg8UEaNoE\nwxPwR4OO8hWXPOB0ZcrX7bGuNDkg1QIeMV8CrTLlqycNUR4yWSju2+XQupeyUu9uTeToCYhNpl83\neeULKss2xoXMyG81qUD0i8b5RLbVXDoCuDiuyDTVyLEOLcvlaXWbLvmh7nW8XTj1+Jrsmo5aXK0P\natlhtfe1PGwj34q7ltHxFeH4qqfeHbUd1/KCXmihhRZqUjmgqg0btpHtW9gaZKiH2Ns6cWQNcWzS\n3p6cV0l5pQp/f98zzau97xpX3zOofW6T9kzbMP1pT3rc2m5nXk6Tr8uxDjtSjnND5pSvKsN6/bte\n/zeZPq1TUm0uxMqTdT1VtabSt+Rq+T1xrese26by1bKlRrqMt3UZ5+axt9Gbeob7bDx3dZdlXd+V\nah2V9Y7sg6S+XTrJVlqOs3ha+arF9eiqhUlbZDipOE3aLp2f3mudD627lkamq5VRq2xb5dVj01zq\nea5yqiXoypIV86lkTQ3lcqPd9ZeSZwj9tEcJze4BB/VQ7iPxFYkQWwf7DOX3Nyp4LErFkMu3i6zM\nafI2ZEhe8LXXJJ+DtCybsqhNScLRes/syW0LsLLJl8vVP0t0dHQyzoNdcsklTd4b3/jGW+m46KKL\n8DM/8zMA/GpLF154IS644AJcddVVuNvd7obf/d3fxd3vfvetZE/RhRdeCAC42c1uhsPDwyrfTW5y\nE5x66qm4/PLL8c///M97t2MBLy10YmjbNmUq3T6d3prjOOWISedLgig0f6+zznF6+7jMyNZo0Rl5\nIeUUAGDQkSOMLixJHsLIDXDEW8cxnwvf5/JCITjwtnIQZudZb88KtHz+YgIl/NcAJu2W5Y+tdIlS\nDIOKvJwcuMQypVvJ6xclyJSLqfNt6xySy+BT8FpGyWavf4iflZ3S5mJ+BzB0idP6FZNWwaK0hRxb\nmcBS9gftdAzRlWZdadUljyDy1wHuFUFLhJEGINQfB19dRgAYNnFgAHK86FfCztWqA692xH6oBvHo\nd0w+UAY76VWFeIs2PTDiewlg0gNMi1/GWSsy8UoxmwafztOIHGwkyQJtsRy5mhXL4jhdHk7wHAi7\nIOJ12Up79MpUeoUiK28DSj01qpWPblBqJMculgwmXsWK65rVXhNSfq2xj1y9SqaXMizQkB7bkuJ1\nimdQPBbwT4N/JIjIAjrJ1ZDkedWII+QrKUHokDp5pSQZxtdrg5f1Wis2WcAoDVxSaR05D0giYBwS\nmCitgJSDmEb4Noy3TOMwbkv5HNMi/fa9NrAcxTnfFo6vZVXnNlnKtgaqlk5gzPhKoFF5nQOmgLzn\ndFFX2VcAEuzE3KnCcw9mAZAkT2qi/IPVEyr569b+hJTSWJ9rwn9eJcmwJ9MTXCd/prRlnAvxow9z\nTtQBBh1VBYcyKn7ZrjsXwd42VGYwT8NtvZbRkjVVsDW7etPtorNGbXfS5q/1rQsttNBCCy20Z5JD\npP0Q+0IawNJjSQtEs+0nMzudK+56NrDIB275MKk18abtaR/lfJKW2u8kOGUzqdjecu3h0ZL80DX/\niYDkreaD5/JcSFPNrogQKzBJXe30ll6kAUBtleYpc3qqkZzn6PF/Lb92jq+r/dFW2nKQkqcBShs0\nr5WHqXBLdiuNPuu5id501gDQsq31EswZB01db0tz7K1RbW6qFtYjS6adOy6asmG6cW+TzK/OO1Wu\ne/TrcC2/9mxS8280ZI000h4tw5Kr89WyzUprtSfW3GFvvi19c3m0bisOBo8u612oVfes72VT9UDc\n8/cIBwBj6ByHSuH21ssqpQJJ36bmF5LxVc80i3lZC8/RTQFj5jQnpSfSLhCrivOZ50ptj6rXHqhy\ntTylflnJanm1323fLC+yzrtNPrYBPi20Ld3mNrdpxqeV3ubRpZdeinPPPbcIv+Md74jnPe95+JZv\n+Zat5PbQV77yFQDA9a53vUne0047DZdffjm++tWv7t2OBby00P5oTs9SS29RzVHTTuWuenscEssJ\nt2ywZE453DDuW/oyuR0jAQVCArzDRkRp5aUwSeG/qwV+9uoqZVx0hmH1JWdy1R5UAs9QXP1HZjG5\nCv7eQ2X8BM4mciFLWS/83DbWvYmOEzt4uV4SNvKHaAe5RRqDoAAGFjF4KE0npdWV5CjFX2vAkkzp\n9YWt20ABSiTLiwQvO2k+V2mbPC655Ci5mC/Pu4qrTEm9DIYaAMqXVRrcGH6QRxgDQmkgghsGjG7E\nEOqYIwCDz/ngi81XOQJIAUvouLjnrPBj1kARQn2SysEDKRB45GpIUGkYwCRXWILi30A+rnxgpm1g\n31vrlLbxIUFBeqs7vWLQqNKT4JPgK8D38BvUQThaLtuibZTloAfSrTZKg6BkubbGEWwPoQ1ckoAo\nBrBYtrM+fb1W95LHsl0CbmScngiRQCQZx89B2pFe1bIucbgELUl5nEaXqQQQadkaUCTD1ypcA480\nSEoChxB4GHgElLqsQ8bJFZskOGmV80cQ5Ap+lSXig2L8uKIAYmKAEsFR6GECWCmew2eAHJyUg5HK\nOMRzvn0b9wj5r6ry6wRo8isuMXgq8dXAQ/m5ZjOUXYi6coBVmR85zaGBUzINIm86ymWdZWVBZrcE\na6WpAFKytS4b3JWXrZwAUasuSQp9lsx/RrH9CICl2O4KWXO2iNNtRu3gF98ZvDL9NnpqtIvfPpes\nfFXLoiHD4pkrZ6GFFlpooYX2QKlro/h/n0RCcv6trtbJSa+unyQoZ5s8kLprzb5wSE1PK85L157v\nlG1pIGsPy8vBncvS2lKZe9syr5GcC0o25aFzAFdSsnMus1x6+7wlHIUPLBqEly0w0fJVocIsU7fx\n/2r3Mq0156KpNi9T02nlpSd/vWTNW+zqw7aaB+veyssUr5zv6LFXz1u0nmmNpsZB+/L9rXKo1bEW\nybm7XRsHS4ZetXuOLKZ9d1oWWe+cpVc/PznPaM3nWelb+ZH1tWWTjtf13IqbY4ek2vOr2aDT1WjK\nVqsseusFGYdOVytPbRff8w9Ltf0tG7SdLfuN8iSSU9sEv9w2Bb6UIDOFv6fR9i8OF3tvc8X9fROk\nHIjzw15DXtw94JspOHgJiNmm6U0e83aek9apvabedJpSnF2BpAZdDr1lkM97Hi0t02HXfPrar/1a\nvP71rwcAXHnllfjMZz6DN73pTXjve9+L//gf/yMe+tCH4o/+6I9wgxvcYO+6r7zySgDAej0NH+KV\nma644oq927GAlxY6sTQ12GilqzmLaIT32HOU/QV7DfqjNWD3tpYj1+xtCBKM1GULpTSOw6O+EBe2\n9orxrMsYcJKErJOPYBCPnvbpmWSxHLI0ZVd61S7CauSUYe5yWPMBOfkPyOsAR2LnNaXxqx6lvDAy\nnLdiy+FGyCylTBaDgQgJEGSvupS2xxujPP9RfAixLF+m89e8ClParo6iHWmaz8f7fPj7VbSU+VeZ\n3ABmIhcmtZKzSRQ+8hJhdIOvLjR6cAGXnKwqTlQZPTmgB0IawKPTQMVzGgmW4dleBkY542DAh97y\nTU4KyHs9WaABTGuRZiWu9cHhDBKR2+XpctH3srpLcBXbxCtAQcVJkqsj1QBA8izLBYpfytQvnwS/\n7DqqYH2cP2slLl0WWr60RQ9+9WytM8K0Pi5vmXdZh62BtYzjg7cT1CsnQV0PKOsJkK9aVAMc6bjW\nqksWcEnmVYKOrBWTJG8NuFTToXUNiKu3RYBTADDxNQbfLo7kAUoOlFZaImAMQMtN4LEAQgz0YWCR\nBgl5cJKDBtQkIFSS1TpGDNhgna3WpIFGOZAJIm356Ub3N8juWY7vh3yTxfH2NnAuS5MqWnq1nJJb\nNhucNgGJSk+gHPjXnBpdMUrK7JQAJZefo4HG2QF+hSWHbCWmmJ/smn2l4FTJFZusa85G1CQaC25X\ndVtdL9jymPurdinvKGmufKtCtXgs6ulHrsG0Wa+xWdfelRNphwNw1dVtxkILLbTQ1Ua+F7c+6bRI\nziH0cEtdNSu2/xxSg+uUFrbgPCnGltZri6TSa6yXQY/k6fQ5vL8lbZdPb1NytVeex1u8uQzjmnju\nxTuvxE5s9B0d+FchFHmQj/ut+QFN2oeVhvRWB0tHyx/WaXr9x5Z8S78VRo242nWrHLbxmbeNq4yF\nzLCpsrB0zinLmoxWWEvuPl7KsvnZjvZhiyXDml+aIl028n6XctvXeGwqT1KeZasaXhfvaI1fy3VG\n3FS57ave1WyU99JOfQ3Y85kte1s6LHumbK21/bUy1HJr9V13urUyb9hPioXvYrhL32Qif9DjAmiJ\ngO7fsiXwUQrJZ9batC0sPn3FsWypyXQdPLuR9Ja9Jzz/xbFLTfqgbU/Znpud59FpL142G1IPl/rc\nUUJNZw9xzb36Z4qOhk7GebBPfvKTuNGNbrR3Haeffjoe+chHZmG/8Au/gN/7vd/Dk570JLz1rW/F\n4x//ePzpn/7p3nWfdtppAPoASZdffjmAvlWa5tICXlro5KFWG9zTJknn8iip5cRpHsnXcnb1vXZA\nzS3ktD6C/XMo5Tk6hK+/Up9DRI6HPb3cCL91HCUp1mEa5KQtykzTfAKv28D3MkVya7SDwHfsbPAm\nNMKhjKlk8Uq5EKEe6uN58ym8BN5Jtnj4kROQH04JkQLizKEJUCSBRj6d37KNt4PzAKMxWu3CWlOy\nrPgj+IBRXDPoaCU2fpNTW+nja37t4VKroBUhbdoaD8HqIZUvDXGua+OAgUZ/M4Q0AixHhLiiSqwi\nDAKScZW6kgGHGKAkV6phAI/kY2Idx4Usp44DIdcJWVLeKMIdEoBGvq9AAnVsDD36A7OMC+VQpJG8\nnB99r7eBY5DHRvHKazkol9QavMpnp+0aFJ81iNbhll5r4CuJZWlwqNah21oL9DPVrlvtr74m5GAj\nqXdlpJHlpVcUawGXSKTTDbIGHkGFWeAlCSjSACa9rZ482Ma14rdsUSsqZXr1tnHaHp3PAaDQTrgY\nRnEFpuMDYRx4qzefwOmD/MFbwjFQidtihsNuwEDVfMCpAUOj4NXgJOta63GVs97CLgcuGQUjzhrs\n5JudXBaQD+z14BpKjwzPdaT0FgAq2WFPFgB6kJ/fb5QuPSGQTwTIPr/uqGWfmxh8y7JG9of8+omp\nolHaKo5VIVS8bjIaEdnP6PaudT/Fq+Om5jp0XzMls4dq/Zilr2VjTcZCCy200EILXa2k+/Wj66Ty\nYZj+BEIiTobW7SkllLzlp6+6NLainCuy0yePzZKUX0kre+3Jn4wGAtmfr1rUz1vzVNvHnPzI0Hpa\nZ94SAJ684ZWYeI7HqkWkzg0Tbd906rBIVpuWD2npqemfY/vUtfZf9RzM1LWl37rXemRYza5WmIyz\nX695TRjzt3TVSKaZM5TS6Xvv58iqhc21syZ32/zW0m4jT8tmObt0YdI+vpayj4osvfp6GxusvFjn\nGs+U7LLDni63nrxym5SWFSplttIyj6Xbsknz1+TJe21Hz7Npta219K26Le75E5lnNXpCvTKU0Nvz\nuFM8e0b+hZ4DZqGQolVY7HmUXlieTvsNlh2SR9u/C2nQj9Sg5xctqpdZnu/e7j9p1/OK2mpAe241\nK7zMfTWs84mf+YnVet2mG93oRrjxjW98wvT9+I//OP7mb/4Gr33ta3Huuefif//v/43b3va2e9Vx\nwxveEABwySWXNPk2m03cLu4oVoBawEsL7Y+meoWpPm7XgQD3B3I1FMm7q5M/x+luOU7UuG/J6llh\nqdkzUdl1Rf2Uy3cIH/MQv8k5KZ/YHufPENfkIn+vIyaBOJR18aWHKxHayGIZ/CNBUNJd43uX3Usr\nxkx6uso/8rIe1j1EaA+v0MT2JJdBpk8rHo0h5aqotDXnhnPgt3hbh03hUrnxNZdDgkuNyja+93ce\n6uQtWoX0CQrmdY5xnSkAcMSpCGNYccm5sE0ehbWkCAF+FTbLC5VoGBG3fWJnP3tgrUOuTCRBT7w9\nGmADl2T4AOBKUcxOxDuRVm/fBdjAJhd0H4esGPmgUQOYauAkJ+QBORhL5kHaK0mvGsU2r1BuSWcN\nTLUdHGatyCTtSEi3so2Tdki9VhWvtY8tXv0cta0KHFc0SzUdkjd/6cvXVcomwS/jJL9enUnKsbad\n6zksoA/LlQCjFnhJx0mZULIPkIOdrPQSgKSBUy2AknXwqkqB3wFwAzAOhHGA36pyANxAEZzE21mO\noLj6kiNggyGsqrQyAUTcRjLwKQGhEqAo9SMUXsUEDE19SFqdCZHH822wEnEtJ4UymSMSEMkGBqW+\nSm69pleQGk27+BiErHxrvPQaWA8pp9SU1Hl0XvP+s+/zVNInyiSsjjQ6YYeTZ5eFyffbYUirK6n0\nWeY4P7OMDI6VbmdjvrWOxn1v3DYyZTtfA1Xp/k7nqbYKVM29mbKpRbW+yyznhRZaaKGFFtoPyeHU\nUcjVROF/zYPbBoyzu6Uuu9M62lQrOZ7NsGP01Xwi8eycEVpqrXnrluw8lQ6tWzT1/PKwkicfHSC7\njkMOAEQEcrxxdZIH5D8qjHJrvl7Lz7IKzH6gfWGkwuW9jrPIyoO23cqbtse61nNPrTKy7rVc675G\nPeVn5XPqukf2tj67Jj0d2lsnjoKmyqC/IbBJp53TRNaby3mk3yMZvq/ObG4+LWJ7atMkven43hlh\nOs0Uv9UGWXmdKsdWOnm2vm9p/YCdrznXVltaduilva14K6x2P6fuWXZsU3dDGgLyeR5C2mlCzIPm\nRWR9MQp9pfghf95L79tTZB3JG6zp6OkiE19emC375exdTYNOb0HvWcq0nVMvfkt+K1V6mpaMbUiW\noP8mt3s31vL4E8+J6y4Xunrpe77ne/Da174WAPD+979/7+AllnfppZfikksuqa4sddFFF+H4cb9K\nxDd8wzfs1QZgAS8tdKJp27mLbXXtKq/m1Nd4JEl+idK2nEu+rw7SxAey0cFvzutSum4KSiqOa/EZ\n0lkOC1MbfTG6MdsGeNpM7/Qx+IZdJoDBPpLYPZQgo+Rk8XZrPowyWfVH6vMzBjCRBAQl69JUjnRq\n0tZ10snJnQgP/6EAB/KrG/mVnpzA1KSt4Mpz0so6jwMZgClPA2FvspHgVxjh1Z2S++N1ryJX2jJO\nAqO8bA9bOo4BB5SgWx4YQBjdmE+OwQGDBy2NA9eRUD/4CIVAGqQjwQ5yBSQJYJIPlOMkYEXrATzw\ngvnkYEfLk0CoNfIVn/TgcqjIhIirvzL2RBBvIVb7CDwiraok05Lid8IGea/bIW2DtTWcbqsk+MSa\n3GnparWx1oQCkwYDAflKWJJWKGXLtGJAWtQ7rUOWq7RPrjikefUqSC3Zlhxtq3UwOMnikysq6Xeq\ndm2lI6GDV12qrZgk7dK6NXBpZaQjeJBSONwgzuHYEOCGFUaCb3dCK8arC43gFZYCGCdsEbchXsln\nZba1qUVMKzMx6CdBMS3wULnJhDWo9Ks0+UKR/RiDiWrnTbABUVdanUnnoabbmjCw+xuOGyKIS1au\nehMm88mvrARC2eVRxuvma+rTXA4qK/PcfziQaGvES5i1jeIFrfltte3jQEbBUdmn6HZSt81Wf6Hj\nazMXrTiLd9d01n1P+laaqTxeB2hcrbBZ1Tq3E2mHw7Jt3EILLXTdJvlxyu6U5rbWU96K58nnJfop\n/ywzlb7kzgdwpLhlHsoBIFT8tEaLqIOnlxxKsE6pb/4zTClZD3u7c1LXwUwtOeZQ07lweGtkPAEB\noOSib1VsGddLNb/V8m2tw1qhuiXXiquFSbKqZm1OxNLXY8eUP1yzW5Olt4enR//U9ZTs1jOYw7ut\nP1+zbZsXtseGOXJ7x0w1mb1l0muTpUuHbVt2Mr0mS15NT9691GW2ZGtZPL6W516S/FKejGvJntJX\nkzEly7LFsq12XSsbDmuVldalwzVZNk4957l1kPsOPRdc6bx1lU9hvg904mNWjA99ZyyuIXk5drOd\ne0HMtT/vhWXtJq+nW9E65oF8chtzuFfiSPucbAOrTx6yfrY1kA/Ht+wqbdyWej32qZco58wPa/7z\n2knLPJgnucrRlVdeuXf5d7vb3eL13//93+Pss882+T74wQ/G67ve9a57t2MBLy104qjXSdzGQa85\nyFMDgW0cpl0GQq1Bgb6f6hldYBgpAZlAsLZrizQC4Aa+stIS4KJuogHOha3jag6v6QQ7gDxAJ0Xn\ndk2PMfLFOvPiKb1tJ1KkaZ4c2uTl2A4mRdSCC7AeC7iUn5O9FLn05JcTMj24Ka2AFNYjQgIzkUiT\nnymenQjzH7R9TvJt41irl84fd/0HcwYoDYFjiCXCzg6vBeUCTodtT/aMWMGRt2cVJLsol/yqFcRH\nGEtQWJtq8NJ5Xaf4cAUwghjwp4E78hv6VcgHJyyDQToa1CN5So+2HKyN6izBSXqQZy3JK2WyXTo/\n8pDv0iiuNfBJ0oAEqpLAKmrwy1WSNNmjrtwei0+DkzSAS79wWk5vW6v55ZnrC4fVnrMkLefAsKNl\nH5CAQ7rv4DwzcFWCqHRbz/EagGQNviHiqJJOHgwC0ums1ZWkXgNQFOP0dnEyXF5bwCUdPxhpwzmu\nshTCGLzkBgTgEgXcB4UVlyDaHV5xKQCPaMBxDNjQgBHrOLgbxZlXNeJtyuSgLwGX0rZtY0yX5KW2\nnVc6kmAoXtEpHzin1zUfVLtMdw5yQuTXYCpuyxNJ2zW4SeopgU+p0slXtvyIRaKf4mMQMpIcm0qb\nWc/YTJdLiOmyJSP9OeZJbg8nr3WYA5xzUZ4TstO1eO0dEDs7i7I+gfI0owprkY4vC63ebvbI6yGr\nLe9NN3X0pNlG10ILLbTQQgudELL9Fmvzhh4Px/6QkkK3+cRjkQWOsfn4v+WA5OnTsE1etT91tT8t\nydA0T5NC6kCfKUoWTtu4PUmb9+mgGHl28V9+zZY4Vf+Cr5x7/fbQNRck9RVmzc+ixV+bR7D01OZW\narqsR6FlaRmtMOu+Jt/ir53nkDUXNeVrT9nRurZoqrxqvLWwnnKQ9WSbF7jHDhm+r0ZC1lNdZ/fd\nEPXK21Z/rVx667EuC10mrTnDubw9drNNU/ZPTXO0bJ3Sb/G00stn17puhVnnWp567LXuWzSnLKw4\nOUfJYS1Z2SUVdhMQftfvFRPC9E34plb3GOwXiWfOrPUc5/ou80BENRlTzV9pY803lXOHzrDLAhDl\nuphLeyOlDkuC9UPIXAoZob2eX+5nzStzrphTpCffy3lSyVnTtNB1gz72sY/F66/7uq/bu/yHPvSh\n8fotb3lLFbz01re+FQCwWq3woAc9aO92LOClhfZLrVZyGwenV2crTa/MbRz0ubJ3HeSMAAZCAigF\nN8MJdyMCLUSY6TQSEoDJQW75lpntSC7A1OdMMUpd5NfFr/v+GDGKrjgBWRx4K7OEuxY5FUURQDIh\nNsWzUr860AgXvtvXp8HYUfFhHt3BACbPWwcupfshFD2v2sTOjHdS0pZtHO7jWNYGawDHC5CQzmv5\nwZkhSxtIV8rFdAmixLiVVNacA0R7Gag0hqdCIQVvGsdPY4hp/conXojDwKClYCeDl0ZHGAjBEsI4\npBJKZRmqrwPcGmkVJjZWglM4IW/VJkE5EsjBKzRJ4BADa9Yi3NpuDUirpknvl3k0SIjTH1f8fM1y\njiMH90iScuS9BDBJXib5emlwkrRvJXikfS3S5SvTSJ9a2i7t0asyyXy3lgiX5SDzIn3+QcXrlbM0\nn6vwcB70eEK32VomibOO5/RrI15PPNQASHrgrbfAs4BHTlxLABHL14AjCRyCCteyD1S+NZ+Up8tH\n2qztMmQ4sdKSPset4shvC+fg25gCwAQfvwFhpAEubNXGUwYShCS3jUtbrFEMk+2vBD7lfHyf+iP5\nOYEBpCVIqLxPKy+llZ8kOGnM0qVCzpseggYu1fTZgKnBsFMOogcRxs1rSgcl3zpymwnI9DCV9tcO\nuRJVfGZE7XYuxMVdcNkUENxIBV9+TcicJBmfzZyQEda2ZzJc91WW7h6ay38UcmSbeBS6d83bQgst\ntNBCC+1E1iBB3tmTRFNzLyWIZzealsPelRyi1AZztZmckpO2cCDIkCBLsh/EJCcBbIj+LlR627k3\nvbuO8rObozS158j/1lF71yE2GmQBmuBgbxlX82l38QXnpOl9rFO+t+XbU+W6pUPr03E1XTWZPeep\n9FPUGle0eOfY1ROm54l6aV8+f4+Nc8pqV1vk/NM+xy96XgsVPfXmfL4+TXY3t50+Kz9W2ZERXrOj\nJhMoy6Wmu3au6ZOyrbSo8LTSt+yUZM1zWs+/tqJRi2r2W/fW+2XF545Hnaxn1uKlNP/jqosBeMWE\n0L9O9NopruXbkbqv+4JT1JO+BdBJ6RHObF/pY1oyWtW114Yk3+u3QU61tOn55Hrz+UtSsnnmcKrc\nLN1zoe7JRdAeYW/6vvnQcu52oWsj/du//Rte9rKXAQCuf/3r4973vvfedZx11lm4//3vj3e84x14\nzWteg1/4hV/ATW9604znoosuwute9zoAwHd+53fijDPO2LsdC3hpof1R7wCyRVNO3RTflO59tNty\nEDrDGcruOa3u3VuDZBKBZnkoz1hu2svgJgqQoMJ5p2yLt5RO6GOxtUzHYBf2+fW87OeWrl1eKKW/\n2lp5yTA1xqdySh9eN5VHlj/MdOU7+g2GsAYR25OvxiTDpQx2SNJ2d9YqTjqttzdt2pav4iQ/LHsg\n0hjPLgMwsRYGTA2hbOQ2dUOEdvmPwhL4xGeWSVGC/FDOdvoPxUNw+FmC+I5Kzu9ySISRRlBYmYLC\ntjuDC87/gCynjgAcR9paTgJy9JZwQA4k0gCnzCBVCYL5ERwkQT0c55BXFSBVOLkikdQrgUY6Pa+C\ncxwJXOXUQSotpzuubNDEdsh08prttUBMWqZuhxj4xXxyN6maPZZ9fNbtoi4n1qGfpZWer9cVO7Qu\na7tBCR5qDbQtm6x7oL5lncyHBiBpmfJgeQco88+HHGdaqyNBXDOPvOd4uWoS26jD5Psj5dWAS4OI\nbxxOgJfcQPnqS+TBS24gv2Uc4IFJFLaMIwYq+a3iRvhVl9LKRzkgSK685FtRCaopQTb5akoryC3c\n8m3dpAxgE7ap09vB8bV8oLq9h7iXZA9SE9BKApysdIB83XIAkF6pyeo98/5TD5D7PxfJyp+nYXtc\nJa+1gb9+KVVUw7AIBOO+KvILPU7oMEFDzEd2/5EZg5zHao+t8Fq7bWeqLb/GO4dKJ25++pad1n3N\nzrm6r6G0wQobs4M50XZcRwp8oYUWWsig7VrhNOotZyKm01o6e0FMPZ9LWjLCSL0Yilmdck/ZSOCO\n5bG2qJbnqXkjS04NPKXna7ahVOK5ZXLKwZ/7QUzW3Jr8jJaNKlzOF9OGLFPNnwpzHZPlKedgenzS\nOeHCTlNnK63l8/f4z7V5FH3dsq8WX/N3tzlP2VLTW7NTh009E016zq13rGLlTVe4o3Y1pfy+huvo\n6Op27eeWxbayLR21Z1/j4WsrrKa7N0+6HHrHutIeebbskjZvQ7V5S2fEW2VW45HyKlMqkVrvay2d\njK89KylX8k2VlS73OST48+9jFOOcGS+z5EQzOF3Z+kFLPlPsgVk/TtwW+KQtouLBpx/79wGP6vbI\nMOn52VVyjjeX80otToSOhg2tamJAw5VNfTamb4Bl+NQz5CfvMPViXXfo2j4P9md/9me48sor8dCH\nPhQ3vOENi/i///u/x1Of+lR8/OMfBwA8+9nPximnnHIktvz6r/867n3ve+NLX/oSHvWoR+FP//RP\ncZOb3AQA8LnPfQ6PfOQj8ZWvfAXr9RrnnHPOkdiwgJcWOjnJGpzWeFpxWsbcmQxL3pTjZukF0gou\nU6T7QSYNyGjqdYEvZJrjFXCBiEAUukfTeSUwuCXy1AYKTuiNNubdc48zpVWwg1Zms5zqkk5Jzsdb\n2JWb17HzV1rmY+SWaXytHRh5PQZYEAOQJE9K58BuaimHInwplYf80FyuApU+hDscCFBTOvvnyFAy\nL3MD3jouffBOqyylTejklB2vxeTjKTrN3s4NEHByDisiODdgJIeBHMbBr8oE1kKU8EixzgjgEhfL\nJkblQBm5lZsEiDBajo1aBcOOI9VNvepQbVs4CB4+BiVD6iLkdsrJG0lSllyFScaRup/yieQ7zqsk\nWRNXA0pZzuDnstLvOa9SBeRlJG2QpD10qYPbw9qWdPqZyzGUfG5Q56lJESCVAyH3hFqTDBpgZNml\nbVkZ8ZKc4tHyrENvx2YR8+nVkzR4qbZlHBkytBwrfo18FSkLvGQdIt4NwLhCAi+R89udMqgpAJpG\nQlp5iRBASgjbxBE25NtFv01cAhmlVXzSiks8iOW2dAxAIwlukn1O2mLO2nZOyvXt6HGxrRyELh3G\n29YlHmBqYsK+1mAmW5/sc1I8kFZOkpRPkvCDzScypldIGgtb0uei1J/rzzetyp7yPoLitm8qMjs7\nwRcP5w84xO3g/NZx5acknkxxI5Bt+yYzohNYR2sb0Vqbb7XfVniNv9ZG1tLO6X9a6XvzZ6Wf0rPQ\nQgsttNBC1yiyZzcssj+a8FxCOYcxBbbhuQjK7rUttgzWPoBAWShg5SmPaQ3SarNE7QGeDfZJP6/S\nfNaRtKRPS3L4l2J2dUJ8erkCti4x7cXnFqCwu8yfTOIdWg9ccsL/Evkjyu9ZngvHmO4nfbre4rHm\nOCzftscflvE1/xtoy6/ZaMm35Fr+fu99D8mq3/L5LVunxgg1+ZbsKblW3lpjjimZej6uJWMqbC5Z\n+bPychTjEt0YzE1Xo9ZclOabK9vit+T0ys67uTbV4mtdjRVXm9Oc8wykzVr2nHzoc02Pda/rqwwj\n41rytOxsyZ0Ks2y25Nf06hWfavVKz7dy2o7vb/xDtXy3Ed+Fsrzcq2GPgRM5YVvydnRKf5dnwPbi\n8hRCeLgfwDN4XDj7AS3lcnJAd/5AtQdSSnDZXc7dynN6kPIbWPmAa2nZCt2Fp7TJy8snwW23oJz/\nzOdM++Yo83Jl/fV0NSCTzOG+nvlCJye9973vxQte8AIcHBzgrLPOwplnnokzzjgDV1xxBT7+8Y/j\nU5/6VOR98pOfjGc961mmnA9/+MN4/vOfn4VdcsklMe6Rj3xkFvea17wGp59+ehZ2r3vdCy94wQvw\njGc8A3/913+NW97ylrjXve6FcRzxt3/7t7j88ssBAL/zO7+Du93tbrtm3aQFvLTQ/og/wljfvIC2\nI6TjdmmHe5yjlo6Wo6t1aFk9AyztJLb0W/HF1nEobQ4TEUlIUEbwDpZzCSnOXho7Zs7lyQKP3hWF\nzOU0g6uSqSahYmrkk7Zek66O/cjyKSkNFEoFnE9R2WMTCty5kyUnsNi9kfGcegycQ9TJ6zWNUaN0\n0ijIsEFQXAYuAoukg+jA28E5daaASVthgzHmJ9nN6y0hlDDLTznPP3z7lJtwtY4p0hMiYQ/AW9t5\nwBIc/EpL8Kt6xSdCAwbnf8JHwwoUkDDOASSBQeIRxxKywECEBNZhgBIPVvS7dJW450c1irMMAxKQ\nieP4LMEZ2jOW7eBY4ZFhJNJIfmvwC6SVhazVlaDsOm7Ea4+cr3lgJ8tP83De1+K+9us6lqV1aju1\nv28NsKUsEnESgMQ0iPhWWyoHsloGGXx6Ak1fy3zwtV51SfcTXHetMQ8Zx8pIow+ZvrV1G1MFQFQF\nK1lnBkHxYaXVqza1VlwyVmYayfl+bQA2AwOWhrDKEsVt4o6DV12iuNoSDzgTuAjxnAOE/Mad3J61\nQDe+DUyAKLl9HF/zPQ+9S8ATinN6/VjmCnrw2gYiQekfhN3I8qHTIdqRO3FT+vOykfGyMtZeHhR8\nqalkuT2ob0nszCQF0S4KACXDAAcgW95LomhVG0YARofAM+Q8/3/23i12myepC//UPO+CROWPrCth\nxQsxLCrKhaKCYd0QiIKRTfCQGBJDxFPARAkXYKIhwXhFlMSr3RhjPCSSCLqJ8RQVw0ERERJFEhHD\nUY7LQUC5WHmf6f9Fd3Uduqqn5/l+39/+DlPvO99npru6qvowPdU1NdU92hKpcpoOWXpa5rPg59zR\n4hKXiY4VXtlzbKX8c0Emdyabfn5fcMEFF1xwwYcFHn9Yji7f2laRcRP7QyzLKJulGMs65pYwP+I4\nOtxorc8uAY8klvSonkJPy5vJNjozie3FLlFjB6Y1p6aKsync2TLOy7bOhyXlsdJGS9F8COzUVNMJ\npK6NHsVy1SLH2mqmX57VO7NBMNP/MlymF+HMyme4R/JENKPrI/oRbjeoHZTJaM/afqUOKzJGaUd0\novJRXVfgLH7GP8J5dL3zSLkV5y0NR7hZGx/RmE2eZ+GIVpQfjQFvO/QPpvmDaEzT51uQl42p7N48\n4qll1PWLfiNZsusj/IhnJnvU3rNxfFTel83aa4V2lK/x9LHyrHFtboqp5yBvFSeZJA9IJcyM5bGz\nkmPcjaqej9VU/HussxA5yszBay52wM0fNTGfov4yHTLpud5b+Ul0qFFOD+NL63j4zpSR7MU3Y51t\n05zOXDN+rgn6gtcT/NE/+kfxcz/3c/jX//pf4wd+4AfwAz/wAyb/drvhsz7rs/DlX/7l+LzP+7yU\nzk/91E/hH//jfxzmffCDHxzy3v/+9w/OSwDwZV/2ZfjET/xEfOVXfiW+93u/F//23/7bnvfbfttv\nw9/4G38Dv//3//4zVTwFl/PSBc8HkYKQKZb+eqZMry6QIp4z3EyZWZ37+Xl1Rln2eEcK8UBLIWbt\nDMBsGYcSKKobyt7e6OiX/QCIvZp6/xSgEAo7PLX0opyeaGrNsCra8QOcH/I6ZlBmcyDVrGJuqhw4\n0hDT5I3S5NWsliT+upC5701FsZ09ukLZhi7YcAdwa9uyeT7eCKadrtjtqfTzW4vhUTHtL7tK2ehK\nnC8v4/c2bNm75g7t0c48a9qtvf4mFPxyd30S6tULnWM16QhMNQhF3XCOsOG+vaytXwq2sqMUwl6A\nrRQUouaPU2oksILq7EQFtAPbi2C9It0iDLnp/DXjM4GXDle6S15u6uhEOrKSdl7yDk1ah2VHKunY\nkZ+/f5kmH2+DRDjy5fxcki0OOZLUjLe9aSyej8YUwZbg6OdB1Naa5+ZwfFk4XM3LG3b0zR21s8bx\nQO5c+0ywthQZknRduJx23olk4DHsnbj82kRPgFp+v471MhDiLePIXfvIUBqP6++jNWnZbxgdl3Q+\nKVqRY5PCLS3a0t63iwPKVp1f+Rob8PK2VScUoDoubeKsdG/bxe2kt2jT27qRurbpFfcGjpikHXPk\nuVR/7+CoSnLocvqXHXCkvN1mTn7ZeYjaNGAjMQH++VkHFz/RdlU/kVfj2gEizkZS1g/u8XnNJUhd\n1U6U+sliXfPIHKC0PD6alXe6gkkPDh9NCdVhqTsM6WqoOkpZSNQlPi/uvABlZ5oE81leJ66VJS6c\n6D5l4cDkHBgdc7L5eoYT8ZyVOyp/VJ+zZTK5ovSVerwJ4CVueDncox8OOd7kDX3BBRdccBJKoBeI\n5qRh7VUW2whGrYztH/E8rEt4t3J9ztTndCJN0dazqDRS6VEdLPZZsNpmpaM1zbqwL7DaJB/ZU6vg\nSKN9TNaxfLXLaOetIxr2fK4cec1Uf9goebyOgPqoceyPAqxHXlrV3TyDMzTIlfM2DI2j02cy+fW6\nB53vu8LXA5O0I/xI5qPfM3kzXhnvo7QZzSMaq3yO2um54Cyf4UZ7Iu9xmf+89JlulhbdF5FsZ/h5\nekdtWRxe1A5H92pGM+IXnWd0ZuDl1vKcpRm1RVY268NZe1GAox/umWxRXbwdMqIX8c5ky2BlDJwc\no8VdRBGYhLZKVKedhg/blDZ6lBdJFd+UxXWCPMX5uii8GGKcceCwFrUGVovU+l8xOKtar6W8N0r2\n/Z9+PIy2Tq+FFnCd9QZsGmfN2SjWxi0Nn8+8rP1zHVj20YYq1J/vYfHGgDe7HezTP/3T8emf/ukA\ngB/90R/Fj//4j+Onfuqn8OLFC7zjHe/Ap3zKp+CjPuqjDul86qd+Kr7+679+me9Hf/RHp3nvfe97\n8d73vhf/43/8D/zQD/0QAOATP/ET8Umf9EnL9B+Fy3npgueDaAGpIzGdVQAZzs/t+eL1KTiP0Fjh\nsUo/BTFGANSsC0qp8ZvxKg24lA0oO7BDot6UxpiVN1A7p1GRa9c7CLeZEnIq+pLenq16NRTs2CGu\nRDLERF3jKEQRPXH12frVuCYaZSeFwRGNbn1QsyOUvDUUGtTbpJ7Xvcs2cBQnMTRK1CY0iZg2wJGR\nmIp/+cu/W5eR3YgQ4hHsS/Lawr8MDqzOW8FtXVVlrjfszZNGu0ftnSa1XmJ5toZbQFSqC1TZ61Dl\n2lLB3rbbefmiYNtRQ5MX1JAWO9Xxdy/YN4DuAH65Bh0zcw3/ctNrhx+9hZx0qkQk0jQK+naKxmln\nD3DZKShymmI8dmJiPCi87FwGgsgaORCVIE+XYbm1HJkj0mwdVSDOTzPwbcb9oef53eV53nobPi8P\n/0bOouz0ldHW7aydhTLgcl470uneUYBcPrlDy6tpzbaLY1n9+NaToOfB5zdHw+NmDkY6P9pOjvlo\n56Ys4pL/fRHkc5AbAOVtQHkB67SkzncC9q0NkxZ1qf+C+vZxwNbSOHIRqeEpjjE6UpA4zMh2b+wE\npPO0k9MdL1SadRaKfuU8z/c8S+vI0RHIOwFZx6XMScjXw+KvbE1nF8p64awX5B78a6Pd0NB9Y2nq\nNgL0lBfrGd4AMeQTQucmoKlQfa4gmMhL7byUNgh7tCUCbYRy1zeHEsY4TCX5Z6IBaaVlrHicbq06\ncV4GvnxUZoXOc0E0l2pYkfeCCy644IILXgPIXjHMYOVlU8Zjzj/G8fw8jtXBvL0j1hrtkiF+CFfs\nPWyXiRYXYrI9JapPtVrcEZkdx3Yp2AY85nHmNdvIZ0M8Bkj9zZQVvYQdSyZjq1C1uxRAIiyVTkwi\nLrV6BfoSR2ric2ZbdiAMvs50Zrrqc+lovuxz6KdHcmX0j/Jm+D5t9hulRWuIo3JZm0TyHvFfqfOj\noMfRo3Qf4Z+N3xn9p64zojaO8o8moVe53jlD29sAZ3T09BfhZzRogrMqq+7ro35fWYNn9dZpEf6M\nX4bjZUdwHaVFskQ8jvou4hHJEuHqenmlYXb4+SuTwct81K8eX8lmrFDFsiJ+eLaP30D1bQsXlqYY\nn9I6T7vReC3q6JYYu1A6+MhByNr5Iuqe9jHwB5pMf9QMPb85NV2GX2kArD1yC2lbZMTBa1rcUlsv\nNzoaxfZQSzOetLJ3nVJC9/VzwNi+F7z54BM+4RPwCZ/wCQ+V/XW/7tcNW8M9FT75kz8Zn/zJn/ys\nNI/gcl664NWDVuz5hfojc+uZJ+dZ+jPFcbXsCi47U/i6nF1slMaQRpWl77u7oCQT4xPqdnFdPlHQ\nqG0B1mkNynRp+lzzs/ZKMVVOjxh+tPplIyDVXALzrddyLtdQnKuDzYbNGbK06UorHL1ORqbsq0Tb\n0FrZqbXn7YjEhYqdf1gy7WnDddPKLPU66t+axw5fezPUybX8VvekvbVB/f1lvA0v0CIjNS+XKgmB\noy3xS2+9DZ59Ic60qfURu3W1OhEB5SVujSe/ogcKdmp13urXkdsOEBE2Httb40cAbQXlJaqzHTsp\n6TmFnY8I1qDjnSh5EOkm12m6vF8slSBPOy1pPJZJOzFFON65iXF85CSdHy08s0U4l3uprvU85PE0\nsAxHUBpeJBvT0Tdd9BstbnWkJV9HnR7R8PPQkeMSl/G7VGm6nM/9puXyUYy0DCwHp3nHIM3HOxV5\nOSKnJ8A6Len6Rk5IhNjRSjsm+TTdfizji4SvpuEdoTjSUitfCNVxibTDUrsmqMhLvMj0kZFkizXZ\nKm50zPHbvuk5jCMpAbJp6d55ye8dN9xxU05N468/3yHbdfJA0At7D6U1kiymvXORjpQE+OhSTGNH\n9rpE89FAQ/7MEar0NP8bLfhlkMk0yvlxpKjd8dWShc5WxZ4r9EqxNINFkFdPt0qjqTESaanRK7ou\njZ6fmw1NN1kXYIgABZU2O3yEPwTnGeh5UJeJ5ukZ+OdTlL8C0Rx+dBzhHTmBRc+2Cy644IILLnhG\n8LoKsGpKovZ4nT2oMjtKbGOJsa21Y85PNGW+sjSEjk+n4cyWadqYkyjGPIKjOmh+o1xCY85rrb1G\nKO2vKD6k8nKbkuBo5yeR1TqjRY5qhRLaReSqL11LjbpeVBs0nakU1p1ht5NTOMs6XN48j0NEP+I7\nkz2DSFdFknYGZvrzSlv53z1Jn50/B/8obwZncbL6rsBjt+m8/GrayqR1ROMI9wyPTO61yXXsk7UH\n2jp4XG+7m/H0a9LVdoloR3w03RUeszWy55Hxz369TAjKHtU/a6+V8pkcR7JF6brsisy+rG83z8/L\ncDRui+uy0tALuuknvf0L6qsOpSEIu/wZr98R1V+5tk5F5K45LZPJ2uPyKluaaNwjiLSXGEa9Ktda\nK2exMUb1kXrqfDH5bEPeyCWzgW4GCxNZ4/L6PNLA4mOsne7THHel/TU9XbMLLnizwOW8dMGrA/+8\n8MqHP1ZpelrPgevLeMgWJ5nSeURvheeswF5cRBnF1Dg0HfOR5mftTGlwpAtuKLiPZEiUjilEkZtS\niQAJDmnzpNm94ka91KY6Ywu09GoG2nuUIjtMbRhJ/0JVKzeilInC6muhaXLOHVt7f19fMTMOFJWa\nU70oNpVmf3kYkOIgm7hJ/KZdtZc24lGT54bq8LT11/elOUHVq617u1PnIC/oSe15xk5PfN5rSBuo\noDkl7TXqFwCi5pBGG2roJfS6YQfK1sZoG5f7DaDm3EA7QLwNHDURdCQeDfpe9dF99HZtGlfT1dox\nNRov1bWPgqTpMr7Wuu+wfDTtTEvXadz57FjkI0x5XI/jcX0ZXy5yYPJTjW/XiJa/nfQ8mhlJMuOF\nxtUOap4+y6ZliuYiHZkpkhMu7+byKcD3Rgquxy3BifI0by3j5nC17NoBysu4ufxZnsbR0ZWY30cs\n0N/sUW7ql6CclSDbxPH51oLdbCRRltBw0Ez6LQLTTtqhyTsRsVMTO83U54B1MNKOTePWbkxDniMA\nPyM0LtxvcbRr2XhRy05Y3sHKl0EgD4N9pYGUH8OeyOWBDTNc93F7OikTOzrpLUwjeXQew2bSoWiN\nhpeoHdRBJFvD+bw4PjhYaWG1qj+JC1y9J8qN3jLOW2H8syU7ViC3ZMV5K3yjZ8Mq7mp+BLO5fqVu\nKzTfBFCdKVe8cl+1HGdCiF1wwQUXvLmAdQmvoUSPnVy/ymmzxpXRWnu8iaY0amgz3oB2/9dS67if\nfink+VqoW8vrBXu8zNPa3YYd9+H7Em8/iUHbPpibtjFp9yIpMdbkyNkokoz5xThHSpPXbBfY1nLD\nvsctrVNt47RHZkLDEZ2XHM2eeORQH63nz+i/R/Xj8hH9CHdG86isT/N5UT09/irPiE8mk6//6u+s\nXjM5snpFZVfor9xGWTs8J8TT09o4nKWvrGOiSe8Ijqa5FbzXCh6t38GyukPUxjQ5z9IiWp4u46yM\nbc0r460/aH3KMm5WZ0zyorr7/soeiFl7HJX1bbVyn8UPYhsQIKLt04L8wn+ycaT4VIfgqrloWhwz\nQL5DK+35ye8/smrJ9mdFCSiaihdpdE0ZaQpdXzGtAa05Lp2dsCLNL7+pvH3QG6Sttmm1Vn5/tR9O\nMNngtPriXAvWbTrmRLRWwduG8/zz9KRtc7vumwEuO9hbCy7npQueHyLFJMLxL5tX59Qzc++5Z2yu\nD6zynPHzCtSqYn7ED4A2QoT8unJY2tdVNq/or62I2i50BSio/iS8U4p2QGJ6mv5MQZ48+gNBUbdd\nixQhVskIwA2jQ5Xmwm5IEt9I1AwdppPUX7Q8oZWpNJInpjCGvblN8bZy8gJ6a3S7iqtqr2vHEtc4\nUTfsioa0E6fp7ef2XlpqbSMx8Ut12Yxvb6/B+SU9pzB1Npvem5yVh7hVycv3rTs3MQ5hR6G64R6K\nUOcN79iVjJoD07ZBVFPjqMcrhN5gdSGhnZg8cKOwsY0Xix8JcT5i+jpCEqczXW3w4fwXsE5IkZHH\n35pMlx2C9knZovCifKav+SDA43Pe8ixy1IIrr6+jhTfz9G3uvwD0dLzMgLT/PcDXa5ktyI+eN5GM\n0YLal9fOSPoXSTrLxBG//LwePd/YwS6ipesZya3zZ9u6ZTR0elSe5dV5npcuo7eC805fOr3hlba9\nXGEnpkZv3wCw0xI7MbUoTLxdXCG3pVshlG3DTtoxyToZ+XM56nW9rdhZaL59GtOCogGwsxFPCxb/\nDom6FDvzeHwvawW/6OS51S5Qo0PaIFu4ero+L1r4Sv2twYHPvVOPLS+/fsoSGaLBLyBPZBWByUVd\nGs6Le7WmVaUCSESkhtu2Le1bxoEgXnV8zRUwVitdGTXXNJyeTue2jJuBp1MWjrP0/TPOQ/YMOcrP\naB7Jnzkoz+p3tt4XXHDBBRdccBpGm4DNPfcwYu3lyB4xf8iJtiZUZVHn6Y4OQTH90unMTFrjApXc\nw3qm8bH0bFU483386GxlIzDNNOhI+Yjaf0xjXMt5rKNE3/aab7YMZfqjrLo+sqFKl0MR0tvFabze\nTZktQKpm2hDAuDX9GT30KC3TG/2wivTMbO2fwUwfXZE3omPWAgEPL1eEm/3OIKOTyXkEur3jBVyM\nm8kVyTn7zcq/XmFFztWJbLXMc7ZNxme4+Q9gtR2ifiaM93t0T88nzHU4qpvnp9M43d8jnl6Utgf4\nUb11vpfFz4kreBF+Vs8ICuJI8ThI8w/HGf0Z+J0VPC9Ng+2vmqa3K7s2IDbbFPSdICpey6RY/J3U\ne6WyAyQGYf/eR57BognMm4TCrhKaOtxAPKC1G5TRAUKsFTh344k9cbV8MVj2FpvdtOOAk8fK6NRT\nVLqXd1XrzDRUXYOI3qwuXuNbk8NzfqM8OC+4IIfLeemC5wNeEB09UX2ZR+DIRrPCL1r4ZuUiGmf4\ne2UzMxCcgdIYmDjO5JzCyiirV7QKqkOTuUYlUlr0nlKaExNVR6euWCtnpgWgVnerggyVQlXcrKvR\nWJF6xSYaH/yRz62CRKp5tONNrmxUDE7nqEZRXqwYFGgXKX090mK3nnHYiqMRy7l1qbl2+mVw/ToR\nYNchYBtaVByOgALebk47PEn9ZLO5AuAO3vquxlzi7eCgMAFWF73SVAACNnZqanVjD5ZyK9jvwLY1\nfKIaaUxv8cbnaqyXt6FuJbfJODNOJfplJzewzucy3pGJzz1edE97vMzxSPPaYbdzy3Czl7XscJNF\nfuJzHS2H6XrZ/K+uZ7QIZfCL0Oh29ZGPdDlSON4Ayu3kF5hH9Mnl+RWPB28wmP0yTe3QwzR0e/kP\nAbQcmUzRlnDk8o8clyjI3xyNKJ/PNQ+/FZ7G19vCaRq6bjegsPOSdloiaF+Qvk0c2m/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HixKc5DpGii4+tzSyfeBs4ulDdXn7nTkwZ+feMjTcnTkGXJDk+Pn6RRmDB7+2XGDGsgqU5J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LVt1I5H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\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wsr57pA7Z+6Ij0PJG/UqwDjI4wPf5WV11WoS3Uh+N53+3ID0qy/1OsO+hsj7O6sDnkYwR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LmMx6kc7zM9h+k3t45GWEKngEwp3UTe9XQea/DzWEwLDTRpW8CRacDSC8Uadqb2nNPLU/d0vSHF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Qrv93t7iRqC34kRsarvsxv8DeDK1cArPiN8s+Kgy+m46IL2ztdV0hpfyvjVUvp3EwU1Rf1L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\nvw3ojhvKcub09ZXjtaIv/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/iv+Ma4hW0r1Aeip6RMjMnjUriuQZ6VV6ZM9Njf937RC9PR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\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ScR0Z6zpO5GcPcdInOSC9Q7nfnE5ujShHQ+W+S777RL4Om9SPhZiXv4eSTo64REx6NzH1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\n/DO0Z7Ni0whYpDC19NUens2+t8aa2VtQVT3iyYgvoKNtkCuAMz1ij6CdX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f2eGdSFNmWT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eZFnZ/ayPATP5vmcur49sKH27e52bkfS/dzJF73USL0z2Max4LYrkaBkCtIk8Zel2M4KQNgXT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\nuG2T/MpHc3kRbf3OspGOpVjiRl1xNH9Hc+0U7sCItLM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t0bIKm7z0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          }
        }
      ],
      "source": [
        "fig, ax = plt.subplots(1, 2, figsize=(15, 5))\n",
        "wg_data[\"temperature\"].temperature.plot(grid=False, cmap=\"jet\", ax=ax[0])\n",
        "wg_data.simulation.plot_structures(y=0, fill=False, ax=ax[0])\n",
        "rib_data[\"temperature\"].temperature.plot(grid=False, cmap=\"jet\", ax=ax[1])\n",
        "rib_data.simulation.plot_structures(y=0, fill=False, ax=ax[1])\n",
        "ax[0].set_xlim(-4, 4)\n",
        "ax[0].set_ylim(-1, 2.5)\n",
        "ax[1].set_xlim(-4, 4)\n",
        "ax[1].set_ylim(-1, 2.5)\n",
        "plt.show()"
      ],
      "id": "2c884dc4"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We also plot the temperature profile as a function of distance from the\n",
        "center of the waveguides."
      ],
      "id": "835efd7b-0f67-419a-9bf1-142e40a5b5b0"
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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wLmfnCD4VRk2ZMkUTJ07M2PmUlRtvvFGvvPKK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iIiuaEwSkREBKhe3QykWrRwrv369fmc9fj7w/ffm4tWOWvfPmjbFpYscV9dIiIiIiI5pDBKRETk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\niIiIiIiI5Jv/BxJfN4kWkB9GAAAAAElFTkSuQmCC\n"
          }
        }
      ],
      "source": [
        "wg_line = (\n",
        "    wg_data[\"temperature\"].temperature.plane_slice(axis=2, pos=wg_height / 2).sel(x=slice(0, 15))\n",
        ")\n",
        "rib_line = (\n",
        "    rib_data[\"temperature\"].temperature.plane_slice(axis=2, pos=wg_height / 2).sel(x=slice(0, 15))\n",
        ")\n",
        "\n",
        "plt.plot(wg_line.x, np.squeeze(wg_line.values), label=\"TiN\", color=\"red\", linewidth=3)\n",
        "plt.plot(rib_line.x, np.squeeze(rib_line.values), label=\"N$_{++}$\", color=\"blue\", linewidth=3)\n",
        "plt.legend()\n",
        "plt.xlim(0, 15)\n",
        "plt.ylim(300, 316)\n",
        "plt.xlabel(\"Distance from waveguide center in x [μm]\")\n",
        "plt.ylabel(\"T [K]\")\n",
        "plt.show()"
      ],
      "id": "1ad4e21a"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Transient Heat Simulation\n",
        "\n",
        "The previous heat simulations were steady-state heat simulations. To\n",
        "determine the temperature profile starting from the reference\n",
        "temperature while the heater heats the simulation, we will need to\n",
        "define an\n",
        "[`UnsteadyHeatAnalysis`](https://docs.flexcompute.com/projects/tidy3d/en/v2.9.0/api/_autosummary/tidy3d.UnsteadyHeatAnalysis.html#tidy3d.UnsteadyHeatAnalysis)\n",
        "spec to our heat simulation. <br><br> Our `UnsteadyHeatAnalysis` spec\n",
        "calculates the heat distribution at a set number of timesteps until it\n",
        "reaches the specified simulation time. The spec then takes as input the\n",
        "initial temperature, then an\n",
        "[`UnsteadySpec`](https://docs.flexcompute.com/projects/tidy3d/en/v2.9.0/api/_autosummary/tidy3d.UnsteadySpec.html#tidy3d.UnsteadySpec)\n",
        "which specifies the length of time for each timestep in the analysis and\n",
        "the total simulation time."
      ],
      "id": "46941157-c92c-4557-b8a5-e01eea55bf88"
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {},
      "outputs": [],
      "source": [
        "heat_sim_time = 60e-6\n",
        "heat_time_step = 1e-6\n",
        "\n",
        "turn_on = td.UnsteadyHeatAnalysis(\n",
        "    initial_temperature=ref_temp,\n",
        "    unsteady_spec=td.UnsteadySpec(\n",
        "        time_step=heat_time_step, total_time_steps=int(heat_sim_time / heat_time_step)\n",
        "    ),\n",
        ")"
      ],
      "id": "c704cb9f"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Add the UnsteadyHeatAnalysis object to the heat simulation to make it a\n",
        "transient heat simulation."
      ],
      "id": "d38de593-1373-499e-9c39-30f1863b7fef"
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {},
      "outputs": [],
      "source": [
        "wg_on = wg_sim.updated_copy(analysis_spec=turn_on)\n",
        "rib_on = rib_sim.updated_copy(analysis_spec=turn_on)"
      ],
      "id": "deece34b"
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:04:38 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'wg on_mesh'</span> with resource_id                         \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'vom-d151e814-c4ff-4dc0-936b-9825a6f7bab9'</span> and task_type           \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'VOLUME_MESH'</span>.                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Tidy3D's VolumeMesher solver is currently in the beta stage. Cost  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>of VolumeMesher simulations is subject to change in the future.    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"60735c2d06b64ff2bc828c86b6c94d36\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:04:40 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the billed FlexCredit cost after a simulation run.             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
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          }
        },
        {
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          "metadata": {},
          "data": {
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              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"abdddca1f0a74b4db7e887536a08e9ed\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        {
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:04:48 UTC </span>starting up solver                                                 \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:04:52 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'wg on_solve'</span> with resource_id                        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'hec-4a2b5bd9-751f-40cd-98fc-e748821cbff0'</span> and task_type           \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'HEAT_CHARGE'</span>.                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Tidy3D's HeatCharge solver is currently in the beta stage. Cost of \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>HeatCharge simulations is subject to change in the future.         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"b2b3e9d38d1546b093f6d14f844105ba\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:04:53 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:04:55 UTC </span>status = queued                                                    \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"5ba2d0feed2b4f8eb5f28a1dd15b7de6\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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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\">09:05:14 UTC </span>status = preprocess                                                \n",
              "</pre>"
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          }
        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:05:30 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<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\">09:05:35 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"a89cb14e32d241fda8ea88d130bec417\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:05:37 UTC </span>Loading results from thermo-optic_shifter/wg_on.hdf5               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'rib on_mesh'</span> with resource_id                        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'vom-8ce8e580-4867-4444-81ea-a6312f58e2db'</span> and task_type           \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'VOLUME_MESH'</span>.                                                     \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Tidy3D's VolumeMesher solver is currently in the beta stage. Cost  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>of VolumeMesher simulations is subject to change in the future.    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"8ca9707ef23543699b2dd01d6b4f65bf\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:05:38 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the billed FlexCredit cost after a simulation run.             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:05:39 UTC </span>status = queued                                                    \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><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>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
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              "</script>"
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        {
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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\"></pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:05:49 UTC </span>starting up solver                                                 \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:05:51 UTC </span>status = success                                                   \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'rib on_solve'</span> with resource_id                       \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'hec-18aa6e0b-d3a4-4a36-b60c-a54be24c5275'</span> and task_type           \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'HEAT_CHARGE'</span>.                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Tidy3D's HeatCharge solver is currently in the beta stage. Cost of \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>HeatCharge simulations is subject to change in the future.         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"8ea2e1c7fec54129ab9d56316bb4a36f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:05:53 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:05:56 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"3c352aa8ab584f828e279c7942fc7d9e\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:06:12 UTC </span>status = preprocess                                                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:06:26 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<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\">09:06:33 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"e0208982a0814c53850904a22cc1f56d\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:06:34 UTC </span>Loading results from thermo-optic_shifter/rib_on.hdf5              \n",
              "</pre>"
            ]
          }
        }
      ],
      "source": [
        "wg_on_data = web.run(wg_on, task_name=\"wg on\", path=\"thermo-optic_shifter/wg_on.hdf5\")\n",
        "rib_on_data = web.run(rib_on, task_name=\"rib on\", path=\"thermo-optic_shifter/rib_on.hdf5\")"
      ],
      "id": "05b18d17"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We plot the change in temperature fraction of $\\Delta T_\\pi$ vs time.\n",
        "Dashed and full lines represent $1/e$ temperature changes for turn-on\n",
        "and turn-off heat sources from the paper."
      ],
      "id": "7eb85a7c-dbb6-461f-95be-e5f63cc1931c"
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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QCqwAAAC8KS/PGO20Z0/xLSXl7H5GhnTbbdLbb3t2fat+B/c0sPKLKYFJSW6d01Sb1F6/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\n0T3S09MdHjty5IjHPYeCd991fjwyUjqzfBkAAAAAALBYyIw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          }
        }
      ],
      "source": [
        "delta_T_pi = wvl0 / (2 * length * Si_dndT)\n",
        "\n",
        "wg_t_time = wg_on_data.data[0].temperature.sel(x=0, z=0)\n",
        "rib_t_time = rib_on_data.data[0].temperature.sel(x=0, z=0)\n",
        "\n",
        "plt.plot(\n",
        "    wg_t_time.t * 1e6,\n",
        "    (np.squeeze(wg_t_time.values) - ref_temp) / delta_T_pi,\n",
        "    label=\"TiN\",\n",
        "    color=\"red\",\n",
        "    linewidth=3,\n",
        "    linestyle=\"--\",\n",
        ")\n",
        "plt.plot(\n",
        "    rib_t_time.t * 1e6,\n",
        "    (np.squeeze(rib_t_time.values) - ref_temp) / delta_T_pi,\n",
        "    label=\"N$_{++}$\",\n",
        "    color=\"blue\",\n",
        "    linewidth=3,\n",
        "    linestyle=\"--\",\n",
        ")\n",
        "plt.plot([0, heat_sim_time * 1e6], [1 - 1 / np.e, 1 - 1 / np.e], color=\"black\", linestyle=\"--\")\n",
        "plt.plot([0, heat_sim_time * 1e6], [1 / np.e, 1 / np.e], color=\"black\")\n",
        "plt.legend()\n",
        "plt.xlim(0, heat_sim_time * 1e6)\n",
        "plt.ylim(0, 1)\n",
        "plt.xlabel(\"Time [μs]\")\n",
        "plt.ylabel(r\"$\\Delta T/\\Delta T_\\pi$\")\n",
        "plt.show()"
      ],
      "id": "7a831c6a"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "To plot the temperature distribution through time, we can add an\n",
        "ipywidget slider to display the temperature distribution at various\n",
        "times."
      ],
      "id": "4bdb68eb-b2ab-40a3-a2bf-5d34395b4927"
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"346499ca673a4a20af128e45989030b7\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        }
      ],
      "source": [
        "import ipywidgets as widgets\n",
        "\n",
        "times = np.linspace(0, 60, 61)\n",
        "\n",
        "field_slider = widgets.FloatSlider(\n",
        "    value=0,\n",
        "    min=times[0],\n",
        "    max=times[-1],\n",
        "    step=None,\n",
        "    disabled=False,\n",
        "    continuous_update=True,\n",
        "    orientation=\"horizontal\",\n",
        "    readout=True,\n",
        "    readout_format=\".3f\",\n",
        ")\n",
        "\n",
        "\n",
        "def update_wg_plot(x):\n",
        "    if x not in times:\n",
        "        x = min(times, key=lambda ll: abs(ll - x))\n",
        "    wg_on_data[\"temperature\"].temperature.sel(t=x, method=\"nearest\").plot(\n",
        "        grid=False, cmap=\"jet\", vmax=np.max(wg_on_data[\"temperature\"].temperature.values)\n",
        "    )\n",
        "    plt.xlim(-5, 5)\n",
        "    plt.show()\n",
        "\n",
        "\n",
        "widgets.interactive(update_wg_plot, x=field_slider)"
      ],
      "id": "45f09a0b"
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"c8e6bfc8f2ec429e8b37db5e5dc8c788\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        }
      ],
      "source": [
        "def update_rib_plot(x):\n",
        "    if x not in times:\n",
        "        x = min(times, key=lambda ll: abs(ll - x))\n",
        "    rib_on_data[\"temperature\"].temperature.sel(t=x, method=\"nearest\").plot(\n",
        "        grid=False, cmap=\"jet\", vmax=np.max(rib_on_data[\"temperature\"].temperature.values)\n",
        "    )\n",
        "    plt.xlim(-5, 5)\n",
        "    plt.show()\n",
        "\n",
        "\n",
        "widgets.interactive(update_rib_plot, x=field_slider)"
      ],
      "id": "c0f225d0"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Optical Mode Simulations\n",
        "\n",
        "Using the temperature data of the steady-state heat simulations, we\n",
        "perturb the optical properties of the mediums in preparation for our\n",
        "optical simulations."
      ],
      "id": "d6475a50-b22f-4c63-b5f7-42749ccc8898"
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {},
      "outputs": [],
      "source": [
        "wg_perturbed_scene = wg_scene.perturbed_mediums_copy(temperature=wg_data[\"temperature\"].temperature)\n",
        "\n",
        "rib_perturbed_scene = rib_scene.perturbed_mediums_copy(\n",
        "    temperature=rib_data[\"temperature\"].temperature\n",
        ")"
      ],
      "id": "0b39e23d"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "For both waveguide structures, we will create a list of structures with\n",
        "only the perturbed optical mediums of the scene."
      ],
      "id": "a21bc3cb-bb98-4b7c-84c7-273348e99c56"
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {},
      "outputs": [],
      "source": [
        "def get_optical_structures(scene):\n",
        "    optical_structures = []\n",
        "    for structure in scene.structures:\n",
        "        optical_medium = structure.medium.optical\n",
        "        if optical_medium is None:\n",
        "            optical_medium = scene.medium.optical\n",
        "        optical_structures.append(structure.updated_copy(medium=optical_medium))\n",
        "    return optical_structures"
      ],
      "id": "9ada8466"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Now we create optical simulations using the perturbed optical mediums."
      ],
      "id": "b385be17-d1f2-48ed-994e-5fe649a83013"
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {},
      "outputs": [],
      "source": [
        "optical_sim_size = (8, 0, 4)\n",
        "optical_sim_center = (0, 0, 1)\n",
        "\n",
        "wg_optic = td.Simulation(\n",
        "    center=optical_sim_center,\n",
        "    size=optical_sim_size,\n",
        "    structures=get_optical_structures(wg_perturbed_scene),\n",
        "    run_time=1e-15,\n",
        "    grid_spec=td.GridSpec.auto(min_steps_per_wvl=50, wavelength=wvl0),\n",
        "    medium=SiO2_perturb.perturbed_copy(temperature=wg_data[\"temperature\"].temperature),\n",
        ")\n",
        "\n",
        "rib_optic = wg_optic.updated_copy(\n",
        "    structures=get_optical_structures(rib_perturbed_scene),\n",
        "    medium=SiO2_perturb.perturbed_copy(temperature=rib_data[\"temperature\"].temperature),\n",
        ")"
      ],
      "id": "55b61dd0"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We now construct the mode solving simulations for the perturbed mediums."
      ],
      "id": "16d7e388-6d4d-44c1-b376-385b2f50a85b"
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {},
      "outputs": [],
      "source": [
        "from tidy3d.plugins.mode import ModeSolver\n",
        "\n",
        "mode_solver_plane = td.Box.from_bounds(rmin=(-5, 0, -1.5), rmax=(5, 0, 2))\n",
        "mode_spec = td.ModeSpec(num_modes=1, precision=\"double\")\n",
        "\n",
        "wg_mode_solver = ModeSolver(\n",
        "    simulation=wg_optic, plane=mode_solver_plane, mode_spec=mode_spec, freqs=[freq0]\n",
        ")\n",
        "\n",
        "rib_mode_solver = ModeSolver(\n",
        "    simulation=rib_optic, plane=mode_solver_plane, mode_spec=mode_spec, freqs=[freq0]\n",
        ")"
      ],
      "id": "683c1845"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We now run the mode solvers."
      ],
      "id": "f90b38ef-0898-43e1-a4ab-56b3bf9902b5"
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:06:37 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'wg mode'</span> with resource_id                            \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'mo-ea1474d3-538c-45a6-8e89-075009bfb861'</span> and task_type            \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'MODE_SOLVER'</span>.                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=mo-ea1474d3-538c-45a6-8e89-075009bfb861\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=mo-ea1474d3-538c-</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=mo-ea1474d3-538c-45a6-8e89-075009bfb861\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">45a6-8e89-075009bfb861'</span></a>.                                           \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"530d8907e45b4b0195f9269213b29bbc\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:06:38 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.005</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:06:40 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"f274631e1b054ea5b188a98cb9a5fdea\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:06:47 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<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\">09:06:52 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=mo-ea1474d3-538c-45a6-8e89-075009bfb861\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=mo-ea1474d3-538c-</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=mo-ea1474d3-538c-45a6-8e89-075009bfb861\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">45a6-8e89-075009bfb861'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                           \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"3fbe084aab074ab49e937fd9db04582a\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:06:54 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'rib mode'</span> with resource_id                           \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'mo-fbdcca38-5b16-4fb5-a0fc-5005f44c927e'</span> and task_type            \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'MODE_SOLVER'</span>.                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=mo-fbdcca38-5b16-4fb5-a0fc-5005f44c927e\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=mo-fbdcca38-5b16-</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=mo-fbdcca38-5b16-4fb5-a0fc-5005f44c927e\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">4fb5-a0fc-5005f44c927e'</span></a>.                                           \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"c2826890f0d44a72b429f03ad0206124\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:06:56 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.008</span>. For this solver type, the        \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>estimate is the final billed cost.                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"4c882213d6d54204b5bf195aa35e28b3\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:07:04 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<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\">09:07:14 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=mo-fbdcca38-5b16-4fb5-a0fc-5005f44c927e\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=mo-fbdcca38-5b16-</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=mo-fbdcca38-5b16-4fb5-a0fc-5005f44c927e\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">4fb5-a0fc-5005f44c927e'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                           \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"abc12fe0906d44b2875100b65ace7b67\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:07:15 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        }
      ],
      "source": [
        "wg_mode_data = web.run(wg_mode_solver, task_name=\"wg mode\", reduce_simulation=True)\n",
        "rib_mode_data = web.run(rib_mode_solver, task_name=\"rib mode\", reduce_simulation=True)"
      ],
      "id": "4c81a310"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We plot the mode field profiles to ensure the mode solving was done\n",
        "correctly."
      ],
      "id": "1b9b2141-0aaa-464c-96ae-37ea9badfdbe"
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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          }
        }
      ],
      "source": [
        "fig, ax = plt.subplots(1, 2, figsize=(15, 5))\n",
        "\n",
        "wg_mode_solver.plot_field(field_name=\"E\", val=\"abs\", ax=ax[0])\n",
        "rib_mode_solver.plot_field(field_name=\"E\", val=\"abs\", ax=ax[1])\n",
        "ax[0].set_xlim(-2, 2)\n",
        "ax[0].set_ylim(-0.5, 0.8)\n",
        "ax[1].set_xlim(-2, 2)\n",
        "ax[1].set_ylim(-0.5, 0.8)\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "id": "d456bf0e"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Finally we use the computed mode data to find the loss:"
      ],
      "id": "b28b8322-9f59-4df1-b032-d918ae17bcd3"
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Attenuation: 0.0 dB/cm for the strip waveguide and 0.315 dB/cm for the rib waveguide."
          ]
        }
      ],
      "source": [
        "alpha_wg = wg_mode_data.modes_info[\"loss (dB/cm)\"].item()\n",
        "alpha_rib = rib_mode_data.modes_info[\"loss (dB/cm)\"].item()\n",
        "\n",
        "print(\n",
        "    f\"Attenuation: {alpha_wg} dB/cm for the strip waveguide and {round(alpha_rib, 3)} dB/cm for the rib waveguide.\"\n",
        ")"
      ],
      "id": "371cd990"
    }
  ],
  "nbformat": 4,
  "nbformat_minor": 5,
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    }
  }
}