{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "07caca60-dc11-4b08-9860-d133d84aca4f",
   "metadata": {},
   "source": [
    "# Co-planar waveguide in RF photonics part 2: segmented electrodes in a Mach-Zehnder modulator"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80a417b4-48a3-4102-97a4-d3a76236b72e",
   "metadata": {},
   "source": [
    "**Note**: this notebook requires Tidy3D version 2.10.0 or later."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "808d425a-bd92-404f-83b0-7478542d29f7",
   "metadata": {},
   "source": [
    "The co-planar waveguide (CPW) is a transmission line commonly used in RF photonics due to its compact planar nature, ease of fabrication, and resistance to external EM interference. In this notebook series, we will examine the CPW in the context of a Mach-Zehnder modulator (MZM).\n",
    "\n",
    "In [part one](https://www.flexcompute.com/tidy3d/examples/notebooks/CPWRFPhotonics1/), we started with a simple CPW on a dielectric substrate. The goal of the notebook is to demonstrate the typical 2D and 3D workflow in Tidy3D's RF solver. We also benchmarked key results against other commercial RF simulation software.\n",
    "\n",
    "In part two (this notebook), we will simulate the CPW with the MZM optical waveguide. A 2D mode analysis will first be performed on the conventional straight CPW layout, followed by a 3D simulation of a segmented electrode design. The latter will be benchmarked against a commercial FEM code. In the final section, we compare the Flexcompute RF solver next to experimental results from R&D developments of a Lithium Tantalate–based PDK at [Luxtelligence SA](https://luxtelligence.ai/). \n",
    "\n",
    "The segmented electrode design aims to address two key shortcomings of the conventional CPW: velocity mismatch and metallic loss. It is formed by adding T-shaped metal electrodes to the gaps in a conventional CPW. The effective RF index can be tuned by changing the T-electrode geometry, thus allowing for ideal velocity matching between the electrical and optical signals. The T-electrodes also spread the RF surface current outwards away from the gap, effectively increasing conductor area and reducing overall loss. At the same time, the CPW gap remains narrow in order to maintain a strong RF field for optical modulation."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2029d41-7962-492d-b242-7d3ff1c5cfe6",
   "metadata": {},
   "source": [
    "<center><img src=\"./img/cpw_rf_photonics_2_render.png\" width=640/></center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7f7cbe01-ea94-49db-a7ae-1fb54cae47cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import tidy3d as td\n",
    "import tidy3d.rf as rf\n",
    "from tidy3d import web\n",
    "\n",
    "td.config.logging.level = \"ERROR\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad46872d-e8b2-480e-a527-619d75f1b2ad",
   "metadata": {},
   "source": [
    "### Key Parameters and Mediums"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e919011-39bd-4306-81b6-eba9e87dcb5c",
   "metadata": {},
   "source": [
    "We define some general model parameters below. The analysis bandwidth is between 1 and 65 GHz. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4cb9f792-3a12-420d-997f-8089cec8dc75",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Frequency range\n",
    "f_min, f_max = (1e9, 65e9)\n",
    "f0 = (f_min + f_max) / 2\n",
    "freqs = np.linspace(f_min, f_max, 101)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "153492bb-9564-4c25-8620-a60c65472e70",
   "metadata": {},
   "source": [
    "The material properties are defined below. The optical waveguide is made of thin-film lithium niobate (TFLN) with SiO2 cladding. The substrate is made of quartz. The metal CPW electrodes are made of gold. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "456ea1ab-0967-4f1c-96f7-80ab1cead2f3",
   "metadata": {},
   "source": [
    "<center><img src=\"./img/cpw_rf_photonics_2_schematic1.png\" width=800/></center>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe0c5599-7a4b-4cb3-b09b-3f3409cdf9ce",
   "metadata": {},
   "source": [
    "The anisotropic TFLN is implemented with the `AnisotropicMedium` feature. \n",
    "\n",
    "We assume gold to be the only lossy medium in this study, as conductor losses typically dominate in the the bandwidth of interest. In order to implement constant loss over the frequency range, we use `LossyMetalMedium` which implements a surface impedance model (SIBC) with constant conductivity. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "cc45cf54-24b0-4e16-beda-a298b5c10a3f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Mediums\n",
    "med_air = td.Medium(permittivity=1, name=\"Air\")\n",
    "med_SiO2 = td.Medium(permittivity=3.8, name=\"SiO2\")\n",
    "med_Qz = td.Medium(permittivity=4.5, name=\"Quartz\")\n",
    "med_LN_o = td.Medium(permittivity=44, name=\"TFLN ord.\")\n",
    "med_LN_eo = td.Medium(permittivity=27.9, name=\"TFLN extraord.\")\n",
    "med_LN = td.AnisotropicMedium(xx=med_LN_eo, yy=med_LN_o, zz=med_LN_o, name=\"TFLN\")\n",
    "med_Au = rf.LossyMetalMedium(conductivity=41, frequency_range=(f_min, f_max), name=\"Gold\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62d5b00e-3ef6-4bf6-be49-861de5cfefce",
   "metadata": {},
   "source": [
    "## Conventional MZM-CPW (2D Analysis)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49d17b66-74bf-43b1-a4f9-ab3ce90d7823",
   "metadata": {},
   "source": [
    "### Geometry"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea5ec56d-ab49-4cd4-9d59-a66e99e3edaa",
   "metadata": {},
   "source": [
    "In this section, we will construct a conventional CPW with a gap size of 5 um. The relevant geometry parameters are defined below. All lengths are in microns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "9b555141-2c6c-4984-97d9-32b95c7f1d9c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Layer thicknesses\n",
    "len_inf = 1e5  # effective infinity\n",
    "tm = 1  # metal\n",
    "tsio21 = 0.2  # SiO2 cladding layer\n",
    "tsio20 = 2  # SiO2 BOX layer\n",
    "tln0 = 0.6  # TFLN layer un-etched\n",
    "tln1 = 0.3  # TFLN layer etched\n",
    "tqz = len_inf  # substrate layer\n",
    "\n",
    "# CPW dimensions\n",
    "g = 5  # CPW gap\n",
    "ws = 100  # Width of signal trace\n",
    "wg = 300  # Width of ground trace\n",
    "w_cpw = ws + 2 * (g + wg)  # Overall span of CPW\n",
    "\n",
    "# TFLN optical waveguide dimensions\n",
    "w0 = 1  # Core width\n",
    "thetaln = 30 / 180 * np.pi  # Sidewall angle, radians\n",
    "w1 = 1000  # Overall width of layers"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89d2ccfa-03ac-4c43-93a5-3b41284877bc",
   "metadata": {},
   "source": [
    "We start by creating `Structure` instances for each dielectric material layer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b1447366-6150-4e26-a553-354b9a29d056",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define dielectric layers\n",
    "str_sio2_clad = td.Structure(\n",
    "    medium=med_SiO2,\n",
    "    geometry=td.Box(center=(0, 0, (tln0 - tln1) + tsio21 / 2.0), size=(w1, td.inf, tsio21)),\n",
    ")\n",
    "str_sio2_box = td.Structure(\n",
    "    medium=med_SiO2, geometry=td.Box(center=(0, 0, -tsio20 / 2.0), size=(w1, td.inf, tsio20))\n",
    ")\n",
    "str_qz = td.Structure(\n",
    "    medium=med_Qz,\n",
    "    geometry=td.Box(center=(0, 0, -tqz / 2.0 + tsio20 / 2 - tm / 2), size=(w1, td.inf, tqz)),\n",
    ")\n",
    "str_ln_layer = td.Structure(\n",
    "    medium=med_LN, geometry=td.Box(center=(0, 0, tln1 / 2.0), size=(w1, td.inf, tln1))\n",
    ")\n",
    "structures_layers = [str_qz, str_sio2_clad, str_sio2_box, str_ln_layer]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2637ad8-c4b4-402d-9cdb-acc9882f2733",
   "metadata": {},
   "source": [
    "We use a user-defined function to create the CPW structures."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "793a137f-b9e0-44a8-803b-12efe874e4ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_cpw(gap, width, width_gnd, thickness, start, end):\n",
    "    \"\"\"create a centered cpw with specified parameters\"\"\"\n",
    "    length = end - start\n",
    "    midpos = (end + start) / 2\n",
    "    str_c1 = td.Structure(\n",
    "        medium=med_Au,\n",
    "        geometry=td.Box(\n",
    "            size=(width_gnd, length, thickness),\n",
    "            center=(-width / 2 - gap - width_gnd / 2, midpos, tln0 - tln1 + tsio21 + tm / 2.0),\n",
    "        ),\n",
    "    )\n",
    "    str_c2 = td.Structure(\n",
    "        medium=med_Au,\n",
    "        geometry=td.Box(\n",
    "            size=(width_gnd, length, thickness),\n",
    "            center=(width / 2 + gap + width_gnd / 2, midpos, tln0 - tln1 + tsio21 + tm / 2.0),\n",
    "        ),\n",
    "    )\n",
    "    str_sig = td.Structure(\n",
    "        medium=med_Au,\n",
    "        geometry=td.Box(\n",
    "            size=(width, length, thickness), center=(0, midpos, tln0 - tln1 + tsio21 + tm / 2.0)\n",
    "        ),\n",
    "    )\n",
    "    return [str_c1, str_c2, str_sig]\n",
    "\n",
    "\n",
    "# Create CPW structure\n",
    "str_cpw_conventional = create_cpw(g, ws, wg, tm, -len_inf, len_inf)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e202bcce-8856-4b63-9696-908a2ab0dd81",
   "metadata": {},
   "source": [
    "The optical waveguide is also created using a parametrized function. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "bec75205-c0c0-4f08-9c9f-e65286f3d0c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_rib_structure(width, height, sidewall_angle, center, medium):\n",
    "    \"\"\"Create a pair of ribs with given top width, height, sidewall angle and center position (mirrored in x)\"\"\"\n",
    "    x0, y0 = center\n",
    "    geom1 = td.PolySlab(\n",
    "        axis=2,\n",
    "        sidewall_angle=sidewall_angle,\n",
    "        reference_plane=\"top\",\n",
    "        slab_bounds=(y0 - height / 2, y0 + height / 2),\n",
    "        vertices=[\n",
    "            (x0 + width / 2, len_inf),\n",
    "            (x0 - width / 2, len_inf),\n",
    "            (x0 - width / 2, -len_inf),\n",
    "            (x0 + width / 2, -len_inf),\n",
    "        ],\n",
    "    )\n",
    "    geom2 = geom1.translated(-2 * x0, 0, 0)\n",
    "    geoms = td.GeometryGroup(geometries=[geom1, geom2])\n",
    "    return td.Structure(geometry=geoms, medium=medium)\n",
    "\n",
    "\n",
    "# Create optical waveguide and cladding structure\n",
    "str_optical_wg = create_rib_structure(\n",
    "    w0, tln0 - tln1, thetaln, ((ws + g) / 2, tln0 - tln1 / 2.0), med_LN\n",
    ")\n",
    "str_optical_wg_clad = create_rib_structure(\n",
    "    1.2 * w0, tln0 - tln1, thetaln, ((ws + g) / 2, tln0 - tln1 / 2.0 + tsio21), med_SiO2\n",
    ")\n",
    "structures_optical = [str_optical_wg_clad, str_optical_wg]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cff082f4-ce7c-43ff-80e4-5ccdb4a9c147",
   "metadata": {},
   "source": [
    "All structures are collected in a list."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7289de26-6364-46ae-a665-9be61cd58a26",
   "metadata": {},
   "outputs": [],
   "source": [
    "structures_list_cpw_conventional = structures_layers + structures_optical + str_cpw_conventional"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a86e64b8-56da-401f-8c3d-32b14b4599a2",
   "metadata": {},
   "source": [
    "We can set up a test `Scene` to visualize the structures. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9f31e69b-b0da-4183-84ec-2dcef6764b8f",
   "metadata": {},
   "outputs": [],
   "source": [
    "test_scene = td.Scene(medium=med_air, structures=structures_list_cpw_conventional)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2918df90-b2d6-4d23-9ce0-e8adaf7c6874",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the test scene\n",
    "ypos = 0\n",
    "fig, ax = plt.subplots(2, 1, figsize=(10, 5), tight_layout=True)\n",
    "test_scene.plot(y=ypos, hlim=(-g - ws, g + ws), vlim=(-10, 5), ax=ax[0])\n",
    "ax[0].set_aspect(1)\n",
    "test_scene.plot(y=ypos, hlim=((g + ws) / 2 - 10, (g + ws) / 2 + 10), vlim=(-3, 2), ax=ax[1])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62322609-26a5-450d-b6aa-a4039d4ab4e0",
   "metadata": {},
   "source": [
    "### Grid and Boundary Conditions"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa4fe8db-77f9-439e-8a0f-c65e51de71e5",
   "metadata": {},
   "source": [
    "The simulation domain is surrounded by Perfectly Matched Layers (PMLs) on all side by default. We add a quarter-wavelength padding on all sides to ensure that they do not encroach on the near-field. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cb91a22a-bfb7-4122-8c3b-739dfd111a8c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define simulation size\n",
    "padding = td.C_0 / f_max / 4\n",
    "sim_LX = w_cpw + 2 * padding\n",
    "sim_LY = sim_LX\n",
    "sim_LZ = sim_LX"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11bffb78-ecc2-4b62-93e1-bd0caf8dffdb",
   "metadata": {},
   "source": [
    "We make use of `LayerRefinementSpec` to refine the grid near the metallic CPW structures. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "69d4994a-b128-4548-8f5a-19e3614f3ef3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Layer refinement around conductors\n",
    "LR_spec_1 = rf.LayerRefinementSpec.from_structures(\n",
    "    structures=str_cpw_conventional,\n",
    "    min_steps_along_axis=5,\n",
    "    refinement_inside_sim_only=False,\n",
    "    corner_refinement=td.GridRefinement(dl=tm / 5, num_cells=2),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "399850b4-38ff-413c-a5f8-1e067af66ea8",
   "metadata": {},
   "source": [
    "Additionally, we will also define a mesh refinement box around the optical waveguide for more accurate results. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "aeac50ec-3977-4876-8a85-edea5275f737",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Mesh override structure around optical wavelength core\n",
    "refine_box = td.MeshOverrideStructure(\n",
    "    geometry=td.Box(center=((ws + g) / 2, 0, (tln1) / 2), size=(1.2 * w0, td.inf, (tln1))),\n",
    "    dl=(w0 / 5.0, None, tln1 / 5.0),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dee0efa8-06b4-4aa2-b036-97db20d9e718",
   "metadata": {},
   "source": [
    "The rest of the grid is automatically generated according to the wavelength. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ce97e14e-c944-4013-94cb-78d4966269b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define overall grid specification\n",
    "grid_spec = td.GridSpec.auto(\n",
    "    wavelength=td.C_0 / f_max,\n",
    "    min_steps_per_wvl=12,\n",
    "    override_structures=[refine_box],\n",
    "    layer_refinement_specs=[LR_spec_1],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77b8f110-8221-4943-a5c7-d298b6da9488",
   "metadata": {},
   "source": [
    "### Wave Ports"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37747ea3-a7db-4a4b-8eea-25c9c06a4e83",
   "metadata": {},
   "source": [
    "Although we will not be running a 3D simulation in this section, we can nevertheless define a `WavePort` in order to facilitate the setup of the 2D mode analysis. The dummy wave port is defined below. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "fecbb166-79db-47c8-93f8-2c3bfc1a5398",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Wave port dimensions\n",
    "wp_center = (0, 0, 1)\n",
    "wp_size = (w_cpw - 15, 0, w_cpw - 15)\n",
    "\n",
    "# Define wave port\n",
    "WP_dummy = rf.WavePort(\n",
    "    center=wp_center,\n",
    "    size=wp_size,\n",
    "    mode_spec=rf.MicrowaveModeSpec(target_neff=np.sqrt(8)),\n",
    "    direction=\"+\",\n",
    "    name=\"Dummy WP\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8bbe0c5-3844-4a25-a4b7-20ad3e069e11",
   "metadata": {},
   "source": [
    "### Mode Solver"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "faad589d-08c9-424a-98d7-3143f691114a",
   "metadata": {},
   "source": [
    "As in the [first notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/CPWRFPhotonics1/), we will conduct a 2D mode analysis to obtain key transmission line parameters. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9052ad03-9f51-4708-8d70-87ace1570516",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define base mode solver simulation\n",
    "ms_sim = td.Simulation(\n",
    "    size=(sim_LX, sim_LY, sim_LZ),\n",
    "    medium=med_air,\n",
    "    grid_spec=grid_spec,\n",
    "    structures=structures_list_cpw_conventional,\n",
    "    symmetry=(1, 0, 0),\n",
    "    run_time=1e-10,\n",
    ")\n",
    "\n",
    "# Define mode solver\n",
    "mode_solver = WP_dummy.to_mode_solver(simulation=ms_sim, freqs=freqs)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cb5fb784-135f-47bb-acd2-8289e57bb835",
   "metadata": {},
   "source": [
    "Before running, let us preview the transverse grid near the optical waveguide to ensure that it is suitably refined. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b8ca9117-cba8-4767-8634-20abeccc3f09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot transverse grid\n",
    "fig, ax = plt.subplots(figsize=(12, 4))\n",
    "ms_sim.plot(y=0, ax=ax)\n",
    "ms_sim.plot_grid(y=0, ax=ax, hlim=(ws / 2 - 5, ws / 2 + g + 5), vlim=(-1, 2))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31e073ca-6ad5-4386-a6e4-e776924c58e5",
   "metadata": {},
   "source": [
    "We run the mode solver below. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "d292ad83-43c9-4b75-8a60-eafc12ad49a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:30:04 EST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'mode solver'</span> with resource_id                        \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'mo-b21460d3-498d-498b-a908-f41d864166e4'</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>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:30:04 EST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'mode solver'\u001b[0m with resource_id                        \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'mo-b21460d3-498d-498b-a908-f41d864166e4'\u001b[0m and task_type            \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'MODE_SOLVER'\u001b[0m.                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=mo-b21460d3-498d-498b-a908-f41d864166e4\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=mo-b21460d3-498d-</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=mo-b21460d3-498d-498b-a908-f41d864166e4\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">498b-a908-f41d864166e4'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=832990;https://tidy3d.simulation.cloud/workbench?taskId=mo-b21460d3-498d-498b-a908-f41d864166e4\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=537715;https://tidy3d.simulation.cloud/workbench?taskId=mo-b21460d3-498d-498b-a908-f41d864166e4\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=832990;https://tidy3d.simulation.cloud/workbench?taskId=mo-b21460d3-498d-498b-a908-f41d864166e4\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=901358;https://tidy3d.simulation.cloud/workbench?taskId=mo-b21460d3-498d-498b-a908-f41d864166e4\u001b\\\u001b[32mmo\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=832990;https://tidy3d.simulation.cloud/workbench?taskId=mo-b21460d3-498d-498b-a908-f41d864166e4\u001b\\\u001b[32m-b21460d3-498d-\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=832990;https://tidy3d.simulation.cloud/workbench?taskId=mo-b21460d3-498d-498b-a908-f41d864166e4\u001b\\\u001b[32m498b-a908-f41d864166e4'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-7d2988e3-13d2-49df-8e7b-f9b5036adc0b\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=801200;https://tidy3d.simulation.cloud/folders/folder-7d2988e3-13d2-49df-8e7b-f9b5036adc0b\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e7f4499cfc89445ca26f22777bd4b0b2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:30:06 EST </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.016</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:30:06 EST\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.016\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:30:07 EST </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:30:07 EST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ecac2ec3528346b3876a2b4923ce4241",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:30:14 EST </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:30:14 EST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:30:15 EST </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:30:15 EST\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:30:33 EST </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:30:33 EST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=mo-b21460d3-498d-498b-a908-f41d864166e4\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=mo-b21460d3-498d-</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=mo-b21460d3-498d-498b-a908-f41d864166e4\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">498b-a908-f41d864166e4'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=329264;https://tidy3d.simulation.cloud/workbench?taskId=mo-b21460d3-498d-498b-a908-f41d864166e4\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=376858;https://tidy3d.simulation.cloud/workbench?taskId=mo-b21460d3-498d-498b-a908-f41d864166e4\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=329264;https://tidy3d.simulation.cloud/workbench?taskId=mo-b21460d3-498d-498b-a908-f41d864166e4\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=394928;https://tidy3d.simulation.cloud/workbench?taskId=mo-b21460d3-498d-498b-a908-f41d864166e4\u001b\\\u001b[4;34mmo\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=329264;https://tidy3d.simulation.cloud/workbench?taskId=mo-b21460d3-498d-498b-a908-f41d864166e4\u001b\\\u001b[4;34m-b21460d3-498d-\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=329264;https://tidy3d.simulation.cloud/workbench?taskId=mo-b21460d3-498d-498b-a908-f41d864166e4\u001b\\\u001b[4;34m498b-a908-f41d864166e4'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "63fd706c5ebe4f278fcacae5b9299ab4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:30:39 EST </span>Loading simulation from data/mode_data.hdf5                        \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:30:39 EST\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from data/mode_data.hdf5                        \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mode_data = web.run(mode_solver, task_name=\"mode solver\", path=\"data/mode_data.hdf5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c57128a-a99e-48b4-b510-ca3569e307d2",
   "metadata": {},
   "source": [
    "### 2D Results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f072cf5a-1488-4e2f-aa9c-6ae0a9ba9d2b",
   "metadata": {},
   "source": [
    "#### Mode Profile"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f171ce34-7401-4645-bfa2-a987b463612e",
   "metadata": {},
   "source": [
    "The field magnitude profile in one of the CPW gaps is shown below. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "239eb520-da3e-4187-a4c7-4b244cb721b9",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/xarray/core/computation.py:824: RuntimeWarning: divide by zero encountered in log10\n",
      "  result_data = func(*input_data)\n",
      "/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/scipy/interpolate/_interpolate.py:482: RuntimeWarning: invalid value encountered in add\n",
      "  y_new = slope*(x_new - x_lo)[:, None] + y_lo\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the mode field\n",
    "fig, ax = plt.subplots(figsize=(8, 4), tight_layout=True)\n",
    "mode_solver.plot_field(field_name=\"E\", val=\"abs\", scale=\"dB\", f=40e9, ax=ax, vmax=10, vmin=-20)\n",
    "ax.set_xlim(ws / 2 - 5, ws / 2 + g + 5)\n",
    "ax.set_ylim(-2, 5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5394a5b9-91d0-40b4-a5d3-d19550cb17ae",
   "metadata": {},
   "source": [
    "#### Effective Index, Attenuation, and Characteristic Impedance"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05e482b7-dee5-4be4-93ae-144feb2a07cb",
   "metadata": {},
   "source": [
    "The key properties that determine a guided mode are effective index $n_\\text{eff}$, attenuation $\\alpha$, and characteristic impedance $Z_0$. We demonstrate how to obtain those values below. \n",
    "\n",
    "We extract the first three quantities, $n_\\text{eff}$, $\\alpha$, and $\\alpha$, directly from the mode solver data. Then, we use them to compute the complex propagation constant $\\gamma = \\beta + j\\alpha$. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d7bf4b2a-c161-4b54-9ecc-1036adc44810",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Gather alpha, neff from mode solver results\n",
    "neff_mode = mode_data.modes_info[\"n eff\"].squeeze()\n",
    "alphadB_mode = mode_data.modes_info[\"loss (dB/cm)\"].squeeze()\n",
    "\n",
    "# Get alpha, beta\n",
    "alpha_mode = mode_data.alpha.isel(mode_index=0)\n",
    "beta_mode = mode_data.beta.isel(mode_index=0)\n",
    "# Gamma in 1/mm\n",
    "gamma_mode = (alpha_mode + 1j * beta_mode) * 1e-3"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f8e0a7d-25eb-4871-983a-d2f65a0c08e7",
   "metadata": {},
   "source": [
    "The characteristic line impedance $Z_0$ is retrieved from the mode solver data as well. Note the use of `np.conjugate()` to convert from the physics phase convention (used in Tidy3D) to the standard electrical engineering phase convention."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "83b6ef53-c03a-4490-8b24-c649a75e9ead",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Retrieve the characteristic impedance from the mode impedance.\n",
    "Z0_mode = np.conjugate(mode_data.transmission_line_data.Z0.isel(mode_index=0)).squeeze()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd4f366e-4be4-4117-a2a6-165a0bfe15b7",
   "metadata": {},
   "source": [
    "These values are plotted below. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "8e14be42-4ca9-4bfb-91bc-ec84cf512928",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(3, 1, figsize=(10, 10), tight_layout=True)\n",
    "ax[0].set_title(\"Effective index\")\n",
    "ax[0].plot(freqs / 1e9, neff_mode)\n",
    "ax[1].set_title(\"Attenuation (dB/cm)\")\n",
    "ax[1].plot(freqs / 1e9, alphadB_mode)\n",
    "ax[2].set_title(\"Real impedance (Ohm)\")\n",
    "ax[2].plot(freqs / 1e9, np.real(Z0_mode))\n",
    "for axis in ax:\n",
    "    axis.grid()\n",
    "    axis.set_xlabel(\"f (GHz)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "474645f1-2144-4d71-9e44-72eb7fd5765b",
   "metadata": {},
   "source": [
    "#### Distributed Transmission Line Parameters (RLCG)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f43a510-3515-42f8-b054-6706bbec7056",
   "metadata": {},
   "source": [
    "Using the complex propagation constant $\\gamma$ and the line impedance $Z_0$, we can calculate the RLCG parameters using the following relationships:\n",
    "$$\n",
    "  R = \\text{Re}(\\gamma Z_0), \\quad L = \\text{Im}(\\gamma Z_0)/\\omega, \\quad G = \\text{Re}(\\gamma/Z_0), \\quad C = \\text{Im}(\\gamma/Z_0)/\\omega\n",
    "$$\n",
    "where $\\omega = 2\\pi f$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "3dc76d93-a543-4bd7-9567-8ee3ade8d33b",
   "metadata": {},
   "outputs": [],
   "source": [
    "R_mode = np.real(gamma_mode * Z0_mode)  # Ohm/mm\n",
    "G_mode = np.real(gamma_mode / Z0_mode)  # S/mm\n",
    "L_mode = np.imag(gamma_mode * Z0_mode) / (2 * np.pi * freqs)  # H/mm\n",
    "C_mode = np.imag(gamma_mode / Z0_mode) / (2 * np.pi * freqs)  # F/mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "2eb330ea-9054-4be9-ad88-7a199f7deba8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot RLCG\n",
    "fig, ax = plt.subplots(2, 2, figsize=(10, 8), tight_layout=False)\n",
    "ax[0, 0].plot(freqs / 1e9, R_mode)\n",
    "ax[0, 1].plot(freqs / 1e9, L_mode * 1e9)\n",
    "ax[1, 0].plot(freqs / 1e9, G_mode)\n",
    "ax[1, 1].plot(freqs / 1e9, C_mode * 1e12)\n",
    "titles = [\"R (Ohm/mm)\", \"L (nH/mm)\", \"G (S/mm)\", \"C (pF/mm)\"]\n",
    "for ii, title in enumerate(titles):\n",
    "    ax[ii // 2, ii % 2].set_title(title)\n",
    "    ax[ii // 2, ii % 2].set_xlabel(\"f (GHz)\")\n",
    "    ax[ii // 2, ii % 2].grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09462435-3d2d-4939-aaba-0c523bfd42d5",
   "metadata": {},
   "source": [
    "## Segmented Electrodes (3D analysis)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d440d570-b675-4503-a590-48c9b74de46f",
   "metadata": {},
   "source": [
    "### Geometry"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b597be4-dd1e-4c53-8154-5fe2c65a2cde",
   "metadata": {},
   "source": [
    "<center><img src=\"./img/cpw_rf_photonics_2_schematic2.png\" width=800/></center>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "489b1fd0-4fca-421d-9acd-27a692fd99bb",
   "metadata": {},
   "source": [
    "The T-electrode geometry parameters are defined below. The rest of the dimensions are identical to those defined previously. Because the segmented CPW is longitudinally inhomogeneous, we will be using short sections of conventional CPW on both ends to excite the structure. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "60bf7bf0-9d34-4eea-8fdf-ce48f4f3e48a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define T-electrode dimensions\n",
    "s, r = (2, 45)  # width and length, top of T\n",
    "h, t = (6, 2)  # width and length, neck of T\n",
    "c = 5  # gap between T units\n",
    "P = r + c  # T electrode period\n",
    "gw = g + 2 * (s + h)  # CPW gap including electrodes\n",
    "\n",
    "# Define line lengths\n",
    "LTL = 20 * P  # Length of segmented line\n",
    "Lin = 5 * P  # CPW length, input section\n",
    "Lout = 5 * P  # CPW length, output section"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b97c02b-9bb6-4711-99bd-50255c6d017e",
   "metadata": {},
   "source": [
    "We make use of parameterized functions to create the T-electrode and segmented CPW. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "2c386239-8094-4292-9b5e-7f94b5fe8dac",
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_T_structure(base_position, direction, width_r, width_t, width_s, width_h):\n",
    "    \"\"\"Create a T-shaped electrode\"\"\"\n",
    "    x0, y0 = base_position\n",
    "    sgn = 1 if direction == \"+\" else -1\n",
    "\n",
    "    geom_T = [\n",
    "        td.Box(\n",
    "            size=(width_s, width_r, tm),\n",
    "            center=(x0 + sgn * (width_h + width_s / 2), y0, tln0 - tln1 + tsio21 + tm / 2.0),\n",
    "        ),\n",
    "        td.Box(\n",
    "            size=(width_h, width_t, tm),\n",
    "            center=(x0 + sgn * width_h / 2, y0, tln0 - tln1 + tsio21 + tm / 2.0),\n",
    "        ),\n",
    "    ]\n",
    "\n",
    "    return geom_T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "de9b7b9b-b36c-4559-9046-a7ee4552df19",
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_segmented_cpw(r, t, s, h, g, ws, P, L):\n",
    "    \"\"\"Creates segmented CPW and optical waveguide core/cladding\"\"\"\n",
    "    gw = g + 2 * (s + h)  # CPW gap including electrodes\n",
    "\n",
    "    # Optical WG Core + Cladding\n",
    "    wg_core = create_rib_structure(\n",
    "        w0, tln0 - tln1, thetaln, ((ws + gw) / 2, tln0 - tln1 / 2.0), med_LN\n",
    "    )\n",
    "    wg_clad = create_rib_structure(\n",
    "        1.2 * w0, tln0 - tln1, thetaln, ((ws + gw) / 2, tln0 - tln1 / 2.0 + tsio21), med_SiO2\n",
    "    )\n",
    "\n",
    "    # Wide CPW in segmented section\n",
    "    cpw_list_wide = create_cpw(gw, ws, wg - (s + h), tm, -len_inf, len_inf)\n",
    "\n",
    "    # Narrow CPW for input/output section\n",
    "    cpw_list_narrow = create_cpw(g, ws + 2 * (s + h), wg, tm, -len_inf, -L / 2) + create_cpw(\n",
    "        g, ws + 2 * (s + h), wg, tm, L / 2, len_inf\n",
    "    )\n",
    "\n",
    "    # T-segments\n",
    "    num_units = int(L / P)\n",
    "    T_geom_list = []\n",
    "    for ii in range(num_units + 1):\n",
    "        xx0, xx1, xx2, xx3 = (-ws / 2 - gw, -ws / 2, ws / 2, ws / 2 + gw)\n",
    "        yy = -P * num_units / 2 + (ii) * P\n",
    "        T_geom_list += create_T_structure((xx0, yy), \"+\", r, t, s, h)\n",
    "        T_geom_list += create_T_structure((xx1, yy), \"-\", r, t, s, h)\n",
    "        T_geom_list += create_T_structure((xx2, yy), \"+\", r, t, s, h)\n",
    "        T_geom_list += create_T_structure((xx3, yy), \"-\", r, t, s, h)\n",
    "    T_structure = td.Structure(medium=med_Au, geometry=td.GeometryGroup(geometries=T_geom_list))\n",
    "\n",
    "    return [wg_core, wg_clad, T_structure] + cpw_list_wide + cpw_list_narrow\n",
    "\n",
    "\n",
    "# Create segmented CPW\n",
    "structures_cpw_segmented = create_segmented_cpw(r, t, s, h, g, ws, P, LTL)\n",
    "\n",
    "# Combine list of structures\n",
    "structures_list_cpw_segmented = structures_layers + structures_cpw_segmented"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3a959de-8c17-47a4-a584-d40195f284e9",
   "metadata": {},
   "source": [
    "### Grid and Boundary"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4d0bc07-0f79-4457-88ee-4c43eee37876",
   "metadata": {},
   "source": [
    "The simulation size is defined below. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "b87644cb-bfe1-48d9-862d-4735408b9092",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Simulation dimensions\n",
    "sim_size = (sim_LX, LTL + Lin + Lout, sim_LZ)\n",
    "sim_center = (0, -(Lin - Lout) / 2, 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e27b3d9-5798-40a1-b858-034465884f18",
   "metadata": {},
   "source": [
    "We use the same grid refinement strategy as before. For 3D simulation, usually a lower level of refinement is necessary to achieve converged S-parameter results. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "a3d3d2f7-db3b-42fa-b095-e2f1175376e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Layer refinement around conductors\n",
    "LR_spec_2 = rf.LayerRefinementSpec(\n",
    "    center=(0, 0, 1),\n",
    "    size=(td.inf, td.inf, 1),\n",
    "    axis=2,\n",
    "    corner_refinement=td.GridRefinement(dl=tm, num_cells=2),\n",
    "    refinement_inside_sim_only=False,\n",
    ")\n",
    "\n",
    "refine_box_2 = td.MeshOverrideStructure(\n",
    "    geometry=td.Box(center=((ws + gw) / 2, 0, (tln1) / 2), size=(1.2 * w0, td.inf, (tln1))),\n",
    "    dl=(w0 / 5.0, None, tln0 / 2),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "48454d91-b6ee-4211-b132-532f5460cff3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define grid spec\n",
    "grid_spec_2 = td.GridSpec.auto(\n",
    "    wavelength=td.C_0 / f_max,\n",
    "    min_steps_per_wvl=20,\n",
    "    override_structures=[refine_box_2],\n",
    "    layer_refinement_specs=[LR_spec_2],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53a7d3c7-e989-41fb-91ac-0b62c71db5ba",
   "metadata": {},
   "source": [
    "### Wave Ports and Monitors"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97adbab5-88b7-4090-ae82-31c0192fd2b5",
   "metadata": {},
   "source": [
    "The two wave ports are positioned along the input and output sections of the conventional CPW with a 100 micron spacing to the segmented structure.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "15521469-c660-4793-bdf8-eedf1d358d11",
   "metadata": {},
   "outputs": [],
   "source": [
    "wp_offset = 100  # wave port offset\n",
    "\n",
    "# Define wave ports\n",
    "WP1 = rf.WavePort(\n",
    "    name=\"WP1\",\n",
    "    center=(0, -LTL / 2 - wp_offset, 1),\n",
    "    size=wp_size,\n",
    "    mode_spec=rf.MicrowaveModeSpec(target_neff=np.sqrt(8)),\n",
    "    direction=\"+\",\n",
    ")\n",
    "WP2 = WP1.updated_copy(\n",
    "    name=\"WP2\",\n",
    "    center=(0, LTL / 2 + wp_offset, 0),\n",
    "    direction=\"-\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1e8c6af-74a9-42b2-91f1-5d1cc5add6ef",
   "metadata": {},
   "source": [
    "We define a field monitor for visualization purposes. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "19687796-896b-4dba-b5fb-40a6e7bc63e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define monitors\n",
    "mon_field1 = td.FieldMonitor(\n",
    "    center=(0, 0, 1),\n",
    "    size=(w_cpw, len_inf, 0),\n",
    "    freqs=[f_min, f0, f_max],\n",
    "    name=\"field cpw plane\",\n",
    ")\n",
    "\n",
    "monitors_list = [mon_field1]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "382f3a46-78f8-4bff-a2f6-651f5815b52f",
   "metadata": {},
   "source": [
    "### Define Simulation and `TerminalComponentModeler`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "0667f1fd-7c3b-4cd3-9f1b-d11dc084cf62",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Define base simulation\n",
    "sim = td.Simulation(\n",
    "    center=sim_center,\n",
    "    size=sim_size,\n",
    "    grid_spec=grid_spec_2,\n",
    "    structures=structures_list_cpw_segmented,\n",
    "    monitors=monitors_list,\n",
    "    run_time=2e-10,\n",
    "    symmetry=(1, 0, 0),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "1520203d-c93e-4bcf-9c9d-66af99548ee0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define TerminalComponentModeler\n",
    "tcm = rf.TerminalComponentModeler(\n",
    "    simulation=sim,\n",
    "    ports=[WP1, WP2],\n",
    "    freqs=freqs,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d0170b5-8d81-45ce-83ed-d0ef3f9ce80a",
   "metadata": {},
   "source": [
    "### Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1abfda38-7ac0-424e-aa17-3d47f455fe32",
   "metadata": {},
   "source": [
    "We plot the transverse and longitudinal cross sections to check that the structures and grid are properly set up. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "5899ebca-df0e-43af-a793-bb3dd40aa01e",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot structure/grid in CPW gap\n",
    "fig, ax = plt.subplots(figsize=(12, 4))\n",
    "sim.plot(y=0, ax=ax)\n",
    "sim.plot_grid(y=0, ax=ax, hlim=(ws / 2, ws / 2 + gw), vlim=(-0.5, 2))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "ab3b978b-7f67-477e-bc6a-122de875111f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot structure/grid in metal plane\n",
    "fig, ax = plt.subplots(1, 2, figsize=(10, 10), tight_layout=True)\n",
    "tcm.plot_sim(\n",
    "    z=1.1,\n",
    "    ax=ax[0],\n",
    "    hlim=(-gw - ws, gw + ws),\n",
    "    vlim=(-LTL / 2 - Lin, LTL / 2 + Lout),\n",
    ")\n",
    "# sim.plot_grid(z=1.1, hlim=(-gw-ws, gw+ws), vlim=(-LTL/2-Lin,LTL/2+Lout), ax=ax[0])\n",
    "ax[0].set_aspect(0.3)\n",
    "\n",
    "tcm.plot_sim(z=1.1, ax=ax[1])\n",
    "sim.plot_grid(\n",
    "    z=1.1,\n",
    "    hlim=((gw + ws) / 2 - 15, (gw + ws) / 2 + 15),\n",
    "    vlim=(-LTL / 2, -LTL / 2 + 2 * P),\n",
    "    ax=ax[1],\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe0238cd-1b5a-4f02-b51b-b15145399e1b",
   "metadata": {},
   "source": [
    "### Run Simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "12459e80-bf72-4d73-968a-8f8e35265f61",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:30:42 EST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'segmented cpw'</span> with resource_id                      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'sid-5962ca38-c2c7-4b23-af3e-818b27fae3ed'</span> and task_type           \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'TERMINAL_CM'</span>.                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:30:42 EST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'segmented cpw'\u001b[0m with resource_id                      \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'sid-5962ca38-c2c7-4b23-af3e-818b27fae3ed'\u001b[0m and task_type           \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'TERMINAL_CM'\u001b[0m.                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/rf?taskId=pa-e08bc6bd-d53b-4d18-8e59-59fd08de4ad2\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/rf?taskId=pa-e08bc6bd-d53b-4d18-8e</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/rf?taskId=pa-e08bc6bd-d53b-4d18-8e59-59fd08de4ad2\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">59-59fd08de4ad2'</span></a>.                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=601037;https://tidy3d.simulation.cloud/rf?taskId=pa-e08bc6bd-d53b-4d18-8e59-59fd08de4ad2\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/rf?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=208378;https://tidy3d.simulation.cloud/rf?taskId=pa-e08bc6bd-d53b-4d18-8e59-59fd08de4ad2\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=601037;https://tidy3d.simulation.cloud/rf?taskId=pa-e08bc6bd-d53b-4d18-8e59-59fd08de4ad2\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=624808;https://tidy3d.simulation.cloud/rf?taskId=pa-e08bc6bd-d53b-4d18-8e59-59fd08de4ad2\u001b\\\u001b[32mpa\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=601037;https://tidy3d.simulation.cloud/rf?taskId=pa-e08bc6bd-d53b-4d18-8e59-59fd08de4ad2\u001b\\\u001b[32m-e08bc6bd-d53b-4d18-8e\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=601037;https://tidy3d.simulation.cloud/rf?taskId=pa-e08bc6bd-d53b-4d18-8e59-59fd08de4ad2\u001b\\\u001b[32m59-59fd08de4ad2'\u001b[0m\u001b]8;;\u001b\\.                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-7d2988e3-13d2-49df-8e7b-f9b5036adc0b\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=104184;https://tidy3d.simulation.cloud/folders/folder-7d2988e3-13d2-49df-8e7b-f9b5036adc0b\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8a76dd4951e541a08bd24f28bbeac3fa",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:30:54 EST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.925</span>. Minimum cost depends on task       \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> after run.         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:30:54 EST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m5.925\u001b[0m. Minimum cost depends on task       \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m after run.         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:30:55 EST </span>Subtasks status - segmented cpw                                    \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Group ID: <span style=\"color: #008000; text-decoration-color: #008000\">'pa-e08bc6bd-d53b-4d18-8e59-59fd08de4ad2'</span>                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:30:55 EST\u001b[0m\u001b[2;36m \u001b[0mSubtasks status - segmented cpw                                    \n",
       "\u001b[2;36m             \u001b[0mGroup ID: \u001b[32m'pa-e08bc6bd-d53b-4d18-8e59-59fd08de4ad2'\u001b[0m                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c5bd2cc9f56f465f939efa1fb8dec11b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Batch status = preprocess                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mBatch status = preprocess                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:31:02 EST </span>Batch status = running                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:31:02 EST\u001b[0m\u001b[2;36m \u001b[0mBatch status = running                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:38:12 EST </span>Batch status = postprocess                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:38:12 EST\u001b[0m\u001b[2;36m \u001b[0mBatch status = postprocess                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:38:40 EST </span>Modeler has finished running successfully.                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:38:40 EST\u001b[0m\u001b[2;36m \u001b[0mModeler has finished running successfully.                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:38:41 EST </span>Billed flex credit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.588</span>.                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:38:41 EST\u001b[0m\u001b[2;36m \u001b[0mBilled flex credit cost: \u001b[1;36m3.588\u001b[0m.                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ce6e8fa635c348bbac939b5e22bd82e7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:39:00 EST </span>Loading component modeler data from data/segmented_cpw.hdf5        \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:39:00 EST\u001b[0m\u001b[2;36m \u001b[0mLoading component modeler data from data/segmented_cpw.hdf5        \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tcm_data = web.run(tcm, task_name=\"segmented cpw\", path=\"data/segmented_cpw.hdf5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8548ba71-8eb2-4d6f-9723-2a8f8cc1f2a0",
   "metadata": {},
   "source": [
    "### Results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4638bd40-9fdd-4faf-b920-fdeaa3b70665",
   "metadata": {},
   "source": [
    "#### Field Profile"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0ac8b73-d774-41e1-a672-1aa9bb96edc7",
   "metadata": {},
   "source": [
    "First, let us take a look at the field monitor data. The field magnitude in the CPW gap is shown below. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "e3eb804d-815e-45b0-bb18-8a1fa180848b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load simulation data from TCM data\n",
    "sim_data = tcm_data.data[\"WP1@0\"]\n",
    "\n",
    "# longitudinal field\n",
    "fig, ax = plt.subplots(figsize=(14, 10))\n",
    "f_plot = f_max\n",
    "sim_data.plot_field(\"field cpw plane\", field_name=\"E\", val=\"abs\", ax=ax, f=f_plot)\n",
    "ax.set_xlim(-100, 100)\n",
    "ax.set_ylim(-1000, 1000)\n",
    "ax.set_aspect(0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22282d17-e5e1-4750-af85-96da431f239f",
   "metadata": {},
   "source": [
    "#### S-parameters"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7cf854b3-961f-4677-a07f-8abec1c98ec3",
   "metadata": {},
   "source": [
    "The S-matrix can be calculated using the `smatrix()` method. We also define several convenience functions to get a specific `S_ij` in different formats. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "edba5cfb-4dd5-425b-9626-1528c7aa5dce",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate S-matrix dataset\n",
    "smat = tcm_data.smatrix()\n",
    "\n",
    "\n",
    "# Convenience functions\n",
    "def sparam(i, j):\n",
    "    return np.conjugate(smat.data.isel(port_in=j - 1, port_out=i - 1))\n",
    "\n",
    "\n",
    "def sparam_abs(i, j):\n",
    "    return np.abs(sparam(i, j))\n",
    "\n",
    "\n",
    "def sparam_dB(i, j):\n",
    "    return 20 * np.log10(sparam_abs(i, j))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8b3a9a3-6809-43a5-8e50-cbc8d92bbb6f",
   "metadata": {},
   "source": [
    "For comparison purposes, we import benchmark data from a commercial FEM solver. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "46af0f07-841c-4271-893c-33ce1e47f455",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import benchmark data\n",
    "freqs_ben, S21abs_ben, S11abs_ben = np.genfromtxt(\n",
    "    \"misc/seg_fem_sparam.csv\", skip_header=1, delimiter=\",\", unpack=True\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9dda99f7-c883-4dc9-9836-bf883b29f2f3",
   "metadata": {},
   "source": [
    "The return and insertion loss magnitudes are compared below. We find a good overall match. We also note a considerable speed improvement using the Tidy3D RF solver (approx. 3.5 minutes) versus conventional FEM (approx. 1.5 hours)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "f09b50d2-96bf-4a4f-b158-51d4aecf1d01",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CCCGEENmIAwcOGE/txo0bM/pQxP9QcTUhhBBCJKvaKxcWAHK8TWyxr3N8j7jv6RjW5xje57guqYWFiBxvhRAiLXnwwQcxZswYc5+9t0uWLIk777wTw4cPN8XRLPFdj5o1a4alS5em6/GKjEHCWwghhBBGONuFBY4cH9t1LCzD+6w8HJ/Ytn13HYV23Ikm1zuui/s4sfUJbRtXlFvBbe9zIsxKtLzlYy58HN+thLoQIjl06tQJP/30k7lOrlu3Dg888IC5nrz//vs3bcdtuK0lKxeSY9X1rHz86Y2EtxBCCJHNoWClcI67UEBzkshbLo5C21E8k/gErb11XB+ftzo9Pl98izUScHLoaBiwr3H8LHahOOfi5eUVe5+i3HERQoi45M6dG8WKFTP32YO8Xbt2mDNnzi3Cu0CBArHbJcWUKVPw0UcfISQkxFTWrlu3rlnn6+trrmdvv/02vv/+e5w6dQrVqlXDe++9d5Oot3Db0qVL45VXXsGjjz4au37Dhg2oX78+9u/fjzJlyuDcuXN47rnnzD6uXbuG4OBgfPrpp6hdu7bZ/o033sDkyZPxxBNP4J133sHBgwdvuq6KxJHwFkIIIbIBVmRaQc1bCk4Kay5WbFtRTeKKTopKCk77OKvgKPhdJa5nn5PN8PDwm7z3cYU5vyN6eRzFuRXoQojUg/+/KxFXM2TfeXJ5J/u6snXrVixfvtyI2eRy/PhxDB482Aj33r174+LFi1iyZEns9fvzzz/Hxx9/jO+++84I8tGjR6N79+7Ytm0bKlWqdNN78dp19913Y9y4cTcJ799++82EutvjZHg8+1bPmDEDfn5+5r3btm2L3bt3w9/f32xDI8Bff/2FSZMm6ZrnIhLeQgghRBbCCmvrraa4pli0YeB83np8OWm0XloKQ4pFhVPfjDNGBkdhzu+d37ejZ93xO6bXi4uj55zP6TsXwnUouis81SZD9r338wXwze3j9Pb//vsv8ubNG3uN4HXlq6++umU7CmBHwfrrr7+iZ8+e8QpvvlevXr1QtmxZs65mzZqxz9MT/uKLL6Jfv37mMQX6ggUL8Nlnn2HkyJG3vN8999xjhPqhQ4eM95vXs/Hjx+PVV181zzPPfPXq1QgNDTXXMLsPergnTpyIhx9+2KzjmDN27FgULlzY6e9G3EDCWwghhMiEWJFnPdacyF29ejXWm2091xR01ttqhXVW8lZnBRL7Tm0IuzWI8Hfiffs6K8BZYMkKcuspl7dIiOxDmzZt8M033+Dy5csmPJv/8T59+tyyHZ9jGLqlePHi8b4fw7tbtWplbjt27IgOHTrgjjvuQMGCBXHhwgUcO3bMeKsd4eNNmzbF+3516tQx4ej0er/00ktYtGiREdn0chO+7tKlSyhUqNBNr2ME0N69e2Mf0zsu0Z08JLyFEEKIDMYWLuMEh5w4cSLWq83FhlLLc535cIwqSMh4woW5k3zsWPCNQpyC3Iat299VCPH/4d70PGfUvl2BedcVK1Y09xn2TcE8atQoDBo06KbtmN9tt0sMXlP+/vtvE7Y+d+5cfPnllyZHe9WqVbeIY2eh19sKb94yH9y+F0U3jQALFy685XXMS3f8nCJ5SHgLIYQQ6QjFV1wvtg0Vp0CzEyAbssyCOhLYWROK6Pgq/lrv+JUrV0zepg1Xt2LcvoYhnVyn31/kVHjuuxLunZn++y+//DKGDBmC/v37m7zp5H5+erFbtGiB119/3XibKcb5voGBgVi2bJnxilv4uGHDhgm+H4+FoeWsus7w8W+//Tb2uXr16hmjL685NrRdpC4S3kIIIUQaYvOwrUfbhotbkW1DkSmwLcwTVBhy9sV6yG0epaMYZ5jq2bNnzbrDhw8bjzjPDd5ar7jODSEyPwzhfv75502+NSuFuwo929OnT0e3bt2Ml5yPbfVywvceNmwYKlSoYMLI2aZs48aNpmBaQlBQN23a1Hjhec1hMTYLw9+bNGli8s0/+OADVK5c2YSzT5s2zeSZs8K5SBkS3kIIIUQqQc+lY8EzejSt6I7r1YwvXM/mBoucLcbteWDvnzlzJra6OsU3RTg9aNY7znNKCJG54P+SbbcoYllJ3NUQ7fz582PFihWmsjhzuuntZnG0zp07m+effPJJnD9/Hs8++6zJ1Q4KCsI///xzS0Xz+MLNH3vsMdx///03eeLpXafQZzj7gAEDjMin4G/ZsiWKFi2azG9BOOIW49ikUxh4crOEPk9mnvTpASdlPNm7dOliBlWR89A5IHQOZF2hTZHNhd5KGzLO52whLS7OhAtTZK1fv96E/MmrmXNJ6DxwTFPgNjyneG5x8kyvOEU4xbjOnaxPTh0PGBHEntLlypUzBqacDP/v1CTUIqr9kHnPS1d0o0ykQgghhAtYjzYHYuZiWyHk2AebQkh5uSK14Tlmc/8di7fxPOTkzwpxG55ut9WkXQghMh4JbyGEECIR6Fm0Hm2GjlNwU3gTm3Ob04Q2vfnhkVdx8eplXLp6BZeuXTH3L0eE41pkBK5djzC3V/93G3H9xv2I65GIio5CtOl/HY2omBst0aJjos06Ckl3Vgl39zCLJ8Ov7X0aNtw94OXhBW+v3PDhkss79tbbM5e5ZSXifN554eeTF3m988DdzT3bF2+zxdisR5xCnN4X+zxDXG1ourPRF0IIIVIXCW8hhBAigfBxCm0bPk5RY0PHGU6WncTL9egonL54Fmcun8OZy+dx9soFc8vlnMP9C+GXbgjsa1eMaM7suMEN+bx9kd/nhhC/cZsPBX3zI8C3IALyFUQh3wLmNiBvARTIkz9LC/X4POI0ErFYW1hYmDl3+RyL99ntFJYuhBDpg4S3EEKIHA8FivVq01tIrzbFNsW19Rhm1XBdepMpqo+eC0XohTCcvHAaJy+G4eT5sBuPL4Yh7NI5s52reLp7IG/uPMazzFvf3HmMNzq3Zy7k9sqF3J5eN+575o59bDzYbjd6kFPk8null9s+puGDXnEaA3h74340rkddRxSFZFQkrkZeRXjENeN1v3F7DVcjbzy+ci0cF69eMfdjEIMLVy+Z5ciNQuGJwuPyz1sARfL5o7hfYRQvUOTGrV9hBPJ+gcLmc2YV+N0y7JwLv1eGpdsUCVuojee2Y9V0IYQQaYOEtxBCiBwbQk4RwhZfFCIU3darndXCxxnCfeTsSRw5ewJH/3drHx87F2pCv5PC090ThfL6oaCvHwrmyQ9/x1tz3894i+lBzvc/oU2Rndh3ZFtk2YJz/G7pbSX8ro8ePXoj1Dw6OnaxcDtW1LUcOHDA3HJ/fB9bBZwLfy/7vrFRC1HXb4ju8Mu4EH4RF67euD0XfglnL5/H6UtnYxcaHs5evmC8+KcunjHLtmMh8X4mfv4SBYqgdKFAlPEPRJmAG7d8zOcyKzb/24prR284q6bbc55CnCKcj7PK+S+EEFkBCW8hhBA5BuvxYwg5xbZjrja9fpk97PbytXAcOH0E+04fwf5TR7Cft6ePGLGdWOg3PbnF/AqjmF8AiuQvhKL5Cplb8zhfIRTNX8iEX8cXZk2BxnB7m99+7ewVnLh2NjZCgG1mKlasaLalEWPSpEmxYjtu4xS2uWndunWsKJ85c2ai/WYdhfecOXMS3LZEiRKm+rPl119/Nfu2Ofj2Nk+uXChRsCTqNu4Wu+2JEydu9FLP5YWr0RE4c+WCiQo4fv6UMVrw9vj/bs//L9R+54n9ZokLw9aNIC9UHBUKl0bFImVQqWhp+PsWQGb3hjvmhtuWdzRm2NzwrBrxIYQQmQUJbyGEENkaCgoKRopHm69tvX8UFplRUDC8+uCZ49h9cj92nziAXSf3Y9+pwzh5ISzB1/jm8kFJ/2IoUaAoShYshpIFeVvUrCuaPwBeHjcP+RRb1gBx7mQYjlw6aB5TPAcGBqJq1apmOz4/YcKEBPdLkW2FNw0XfI+48Du2+fEWbluoUKEbIeYMN//fwsc8Nn9//5vegwLf0TvO/VK8c7E5zfZz0SBgb+PCz1a3bt3Yx7Nnz75pO1uVPr+vLyoWqYGGHRvGPnf0xDGcvXYRp8PP4dCZ4+Y3OhR2DAfDjuL0pXMIu3xj2XBo+037ZNRApSJljBCvWLS0uV+hSGkThp8ZsCkVtkgbv1sapU6ePBmbN54vXz7zvVCoZ8b/jBBCZHYkvIUQQmQ7KBwoIK3YpoiwFZ4pIDJTCC3zk3f/z4O66/g+bNy/HcfnhCUYHs4iYGUDSqKcw1K+cEkE5C140+eywpMezP1795kQYnqGycWLF/HHH3/cFNrtCEWxFd42EoCiy3o/HZfChQvfJFp79ep1w4Ps0MM8PqHGdb1793b6e+revbvT2959993mN7et3+zCx/weHL8jm79P44z1/HJhe664xz1/zjyzHb9nGm3q5y+D1uVrIF/tfMiT3xfXvd1x6Mwx7D99FCGhBxESeghHzpwwhelW7d9sFsf8eIrvoMCKCCpeAUGBFVCxSGlTtT2jsb+fY1X/U6dOmc9tPeE2L1wiXAghnEPCWwghRLaAAiGu2CYUB5mlCjk92QwN33o0BNuO7cG2o3uw5+TBeMPEfby8UaloGVQpVhaVipY1XlKKbFbmjg9+3i1bthihTdHIW/sd2DBvK7wpmii6+Z1QeFJIcbFtp+iJtlCADRgwwKnvj9sEBAQgI7GfyVFgJ7Ztnz59zH2Kbn5fPIfseWQ9wITfFw0Q1iNP4wWXuOHuFNCEYfS3F26IvPny4opbJE5dO4f9F44hJPQw9pw8gHPhF7GLxpYT+/E3boTRMyqhctGyqFqsPHwjvVCoTDGUK1wyQ89dfmaeL45FCCnCHQ1ZEuFCCJE0Et5CCCGyLBQCNmebIoiiwIbNZgbP9vnwi9h4aAc2Ht6JbUdDsP14CK5EXI3Xi121eAVULlIGnpej0bHJbaZol2PONQ0L586dQ8jRE6YgFhcK5Pr165vnKXrWr19/y3tTgNLw4Bi6TTFFrzAFkzNiKaO/x/TAenO5FChwa042v6f+/fubc86eb3ahocPx+6WAP3z48C3vUdDNDbflC8KgVl1Rqko5bD+2F9uPhWAHb4/vNcXgWNTNFnYbu2WaKXBXu1RV1CpZBXVKVUW1wAoZFqLO78BGPsQV4TYc3YrwnHDOCCHir8/x9NNPm8UZfv75Z7Mtx7fsjoS3EEKILIX1TNIjScFj83ltZeuM9LqdOH/a5PduOLTD3O49dav4ypPLG0HFK6J6iYqoUaISqgdWMsXNKFQorimeS/sXN6Kb4mbRokU4ffq08WDHLVZGo4MV3vRM16pVywggPz8/s1Bw25DhuDhWARfOw/PLRggUL148wW3atWtnJpJc+Nvx1oaw85y1bcpaVQrGL7/8gnYVa8I7Xx5cQQSOhp/CqoNbse/CMdNTfeGu1WaxXnGGptcuVQ0NytZAndLV4JvbJ8NFOM/F0NDQ2KJtPPdsaoJEuMgJsFDjO++8g2nTppmODUWKFEGdOnWMqGzbti1yCmvWrHEq4sgV4ruGNGvWDEuXLk3wefL777+jX79+WLhwIdq0aWOMqsePHzfXKMfjbdjwRi2PuGNsaiPhLYQQIsvkbVtPI2/52PYhziixzarXq/dvxtoD24zQZuXruJQNKIG6pYNQs0Rl1ChR0YSLs5e1hSLsyJEjCAsLM95DCrN69eqZ5/i5OEmgkYHQuFCwYMHYxTEknDRq1CjNP7NIGho7ypUrF28xOwpwx0kfIxd4LvP3BxcaZwC08Q5Ct8KNUKhkEZz0uGiiJjYd3mnyxTcd2WWWsSsmm4r11UtUQnDZGkaI1ypVFT5e/19sLj3geWrD0W1OuK0WT/FtC7M5hu4LkZ1gu0MKQQq7Dz/8EDVr1jSGtlmzZuHxxx/Hzp07kR3gZ3IskhkfjnU/UpOffvoJnTp1in0c93oS93kSN3qJ16K///7bRHxZRo0ahdKlS+PQoUNIayS8hRBCZFqsJ42VtSm46elmmDS9aKltUXeGc1cuYu2BLVi9f4splHX4zPGbnqcIqlK8HOqWCkLdMtVQt1Q10wM7Lrt37zaCmh7CuOF1/HyOVneKaU50KLIpbuQ9zJoklHvOnPi+ffsa4c1+2lx4n+f7pYsXUT1/EDrUug33NelhzpXpM2cgOrebaem28fQe7DhzAJuP7DLL6KV/GY84jTwNytVE4/K1jShnIbeMyAl3NJZxkmzrCVCEZ/bWfUK4wmOPPWb+46tXr77pP169enUMHDgw9jHF3X//+1/MmzfPGKwoFL/88kvTtYG88cYbmDx5Mp588klzn9eD++67D1999RU+/vhjfPLJJ2ZcfOqpp/DKK6/Evi/3/e2332Lq1KmYP38+ypQpg9GjRxsRPHjwYOPVrV27tomuqVDhRh0KMmXKFLz55pvYvn276fjwwAMPmPe1kVJ836+//hozZswwx/z888+b4+J+hg8fbuqK8D/dokULI2jjCzXnMVMU79u3z6TkdOvWDR988IHLUVcU0Y4tJl19nvDz8Xuxwpv1PMaPH2++77feegtpjYS3EEKITGlVp5eXIbq22jTFdnoXSYuMisT6gzuwat8mI7R3Ht+HGMTcJLQZLk6RU690EGqVqoI8uXxuyfWlV5Nh4HGFt4WfixMkerG5rSOOkySR/eD5zN+fi/WS02vMCTwLtvGcsDDl4PLFS8BFwA+eaJW7Gm4rVQMeeXLh1PULWHVqO/ZeOIb1h7ab5btFE5DP29cI8CYV6qJphTqmf3t6wck7J9e2WrwNvacI5+elQKcIlzFJJIVjociE2hU6s61tJZnUtq5EZ1Acs5giw8zjMwhbrysFc48ePcx/gilENEzRG07DG0OhLXv37jVCd/r06UbYPvjgg9i/fz8qV65sXrd8+XIj5pnO4hjlROFIkcvlxRdfNDUpypcvj6FDhxqPLl/zxBNPmPcmS5Yswf33348vvvjCCGfu9+GHHzbPDRs2LPZ9KbTfe+89fPbZZ+Z7Zig9u1dQoI8dO9Z8hzzWxH4f7qNcuXJGfNNI8cILLxhBn97QiMGIBBpA+J389ddfxlBgo8zSGglvIYQQmQJOzml9Np6+S5fMYJ4RoeSnLp7BspD1WLJnnRHccYuhVShcCg3L10KjcrVRr0wQ8ua+4d0jNBIw5JCimqG29Fxa7zUnTTbEmBXG6eFgDiAXig9ic7wlRAQnuBTejp7hkiVLokOHDkaAM1qCfbYpaKMuhMMPXni/+xB4+nljzYGt2BCyFQePHcHeS0cxZ/tysxC2LLMinCkQuTy90rVPOMUH/9u2KBv/E6xHQBGuUHSRECNGjEjwOV5PKTItH330kflfxAc9wRSyls8//9xEZcTFUXgmRUhIiLnO2xaMCUGPMYU0RXSpUqXMOgpXesXpkW7QoIFZx/8IvbIc+/ifb926NXbt2mXELf8zVapUwfvvv48FCxbcJLzZfeKuu+4y9ym8mzRpgtdeew0dO3Y06+gl5zYWerpfeukl4wUmFOkU7xTFjp+f363j65gzzYWvt9CbnhCORdbKli2Lt99+G4888ojLwpteasfr4a+//oqePXsm+DyhJ58C28LxtnPnzqag2+uvv26+Z8eIhBwhvEeOHGmsD5yk8IdjyIVNco/LDz/8YE7SrVu3mscsKvPuu+/etD1Pfp4w3JaWVeZcfPPNN+aPKYQQInPBCRInPsxt5i2v4enZAowtvlhFeumedVgast54tR0p5FsATSrUQaPytdGwXE0Uzvf/1asd4cRp48aNt6zn52D4G70bFk6cshqcDHLh7+O4xLfOMVQ+7m/I5+L2G4/vd7brHZ9PaFu7H/scJ6f2sb3vuC6rGjb4v6Bw4EL43TNCggKccyieZxSwpQsFopxbANZdWIeWeashJpc7jkWcwZYz+3DoFFuaHcIvK6aYQn88t1tVboBmleqbCuppjRXbXGw+OA1VNLLZonUKRRdZCWcLcu3YscMIbiu6SVBQkPGI8zkrvClOmYvM/zehkZaGOEcDNNfR+OaIY1SVDV1nrrnjOhqHOdZyXNq0aROWLVtmPPUW/idtpxCbMhIcHHzTfjjOPfTQQ05+O8DcuXON4WTnzp1m3xwL4+7DGT799FPj5bfELW4Z93nC8Pm4UGjTCHHvvfdixYoV+PPPP433P0cI7wkTJmDIkCEmL4FWG4Yx0DJDyw6tEnFhKAYtGk2bNjUXbVp8aP3dtm1bbH9S5g0wpGHMmDEmrMFae2j1cCxoIoQQIuMmKhx4bTsmesA4seAgnB4T7ojrkaYo2vydK7Fo1xpTOdriBjdUD6yI5pXqo3mleqhavHxsWy9OSo4dO2Yq1nJp2bJlbBspTmQc88w4KeCSEbnorvwO/ExWVDsu9nkLJ31xxSsfUzDxlr+b3Sbudo5iN+5tYgI9sVtHwR/32B0/E+/HNRA47sN+jriL7dmdmeFxMvefCyfwjnC+Y1MX3CKiUQIFUML/RjhlhGc0Zp3bgCMXQzFvx0qz8Bxn27JWlYPRqkpDlCl064Q1LfPBeQ2gs4THaw1v/O+oKrogDJdOiLgRUc8991yC28Y9lyjAUgode3zf1CqgFrd4WdzweLvOXqfje539nPGts69jZBm91r17977lGBz1UtwxzEZoOQMjwG6//XY8+uijRuBzvGQl8kGDBpn/vCvCm+NqxYoVk/28hR5vhtTzGJhvHrdIabYW3sxDoNXEhjBQgDN3gK5/hj/E5bfffrvp8Y8//mji8xm+wTwFDqIU76+++qrJoyD0kNPKw2IFDI0QQgiRMXDAt23AeEtRlF7e7SsR4VgesgHzd67Ckt1rcTkiPPY5hovT80ex3axiXfj73sjJ45hCIWCFNj1zjp5rrrPCm4ZehrS5MilJa6zwtELUilArPuOKTYocGkDsEp8gjU9YZ1as2HYU5fax/U4YccHflLd2vb0f1/BgjQu8zezCnEKcC9M3aCziuctb1k3wdcuNSU9+hd0nDxjDU8juEIRdPIv9xw6a6vyfzR2LsoVKoGXlBmhbrbGpY5DWn9UxFJ1ecHrz+B1z0m/7gyfUGk9kf1xJQ0irbROCYwAdfIzgZZGuuEKVBiUaZKtVq2ZqfnCxXm86Bfl8XMNZesC8Zjo6nRGrcT3r1F2O4ecJsW7dOvOfZmE49/8ZSP744w9kJLyOUDPSUWvz3dNt38hAaOngD+JoxbK9L+n6dwaGKXCAtBMf5k0w3Mox1IC5Q/Sm8z0lvIUQIuOKpXGCQU83J/EUqGk9kb549bLpfzx/x0qs3LcJ167/fyEdhoy3qdoIbao0MrnarAYdFwrruAMzj5sRVlyYf2fJqPxUR3FNAenorXYUiRTVPEZ6QOy6rCQkk4Od6DkbReEYAWC/T3vLOYvJp/5feLRjZID9Hnk+2/uZ5bvk+coCfbZIny1a6Ml+4IEVUa14BYw/MR6X3C+hGaohwu069l4+gYOXQzF+5b+mZVmx/AG4rVpjtKvWxBQQtBEgad0fnN+7NdTZ4ooMRZcXXGQ2KLqZ2srUV1b7pjjl+TtnzhyT7spQcmoThn7fc889xknI51lorFWrVreEc6cHzHGmN5oG4zvuuMP89xh+znRe5mEnBNN52Zec1xTqKn4O5p8zrzwuFPW8bjKNuFu3bia0nU7WtIDzC2pAR2i0iy/qjLnsrNCent7uDBfeLA7CAczmIVj42NlwDf7IjN+3Qtt+4fG9Z9wfw8IBlIuFF3jCEyWh4gypjd1Peu1PZD50Dojsdg5QxPDaGrdYGifUVhBxDEhtwiOumsJos7YtxYp9GxEZ9f8e6pIFixqhTcHNcHIrIHh89EKwnzbbO9WtW9esZ6VxTvK5jmONrTLtOOlPzc9g3yu+97Ti2gpB643lsVjBx++W37H1WMcV2AnB93L05Od07Hcan2HI8XewvwXPc57fXKxwt2Hs9newtyk9D1KKY3414bHSE0cjE+dJuaI9US1PSbOwgn/I1ROYe3Yjxq361ywBeQuiTZWGaFutCeqUqnpTT/rUxhro7LWEx+foBc/OueDZbTxwFn5exyiVrALzsteuXWvqTj377LMmwoTjB73KFOX2s7DlFr3iTFPiNZmecqbHxk3viRtxY78TR+Kuc/zOHG8TWte+fXv8888/RmQzdZdjBwvEMQc6ofclPHamCjN0nNXOaRBjVXTHbeyx0dBAbzfff+jQoWY7vo4F7uKmNiX1eyd1TsTngefvQa0Y97PzekynrWO6UmLHYH8Pnp9xrzmu/EfdYpytCJAGMOSJkxiWxWflPQur6bFc/qpVqxJ9PX9shgkw79sWFOB70eLE93ZMumeVP17AeaLEhWXyHSvzWcaNG+dS7oEQQoiM4ToLpJ3ahzXHt2Nz6B5ci/r/gTAwbwDqFauKesWqIDBv4diCXQzBpefPtiyzUJQ4VqdNrKCXENkJTi5phKIDggYzit2ChfxxNtdVrD+xE5tD96K6d0kcunYKoZHnkS9XHvPfalg8COULloS7/icihVAQMVeXodiqci8yC7Y1KI1/cY3UjL5m5XfOJWytl0zp8aYHgVYDVuN0hI+TaoDOVgEU3qyU51jFz76O7+EovPm4Tp068b4XLTAs8GbhgMM/PIu2JfUFpha0ljAchdanuAUURM5A54DI6ucAJ+22OjnDQ0lahpNHx0Rjw6EdmLF1CRbsXIkLV2/skwQWKIKOQc3QoXpz0z4pLrTyM+rKQmFN74StOGvTl9Ia62l2XJgyxWI9nHTS205DgPViW8+pyFpYz7jNJbeRdnYdsd5x+9/fvHmz6fSSkR5dTiTplaN3mQ13Dh85gjmzZ6NBvkoIj76G/VdPYt/JQ1hyaIPpD96hejN0CGqGykXLprmxynrBufB7c/SCp2f7wbQiq48HyYVGUAocphTk9ILIPMdpAON5LeNvxp+XvLbQ2x/3vLSR0s6QoaM3JxVsB8YEfduHjRM3PmaD94Sgl5thCrNmzbolJ4LFbSi++R5WaPMLofecFfXigxMbLnHhhS69L3YZsU+RudA5ILLaOWDzMJlfRS+ynainlWA4evYk/t28EP9uWoij5/7fcBuQtwDaV2+GTtVbxBaDslXIuTD3zk5eKKxZNI0imyGCvE2PSZ6jwOaxWbHFMYjFd/idUXizXRQjrjTZyh7E93+2RhebO86JHRcbuk74f+J56UqYemoS1wDlmyePmWcxJQORQFCe0ma5Fh1pRPjUNfMwdsUUlA0oYf6HnWo0N63N0goruG1LQnrrOTnmfym79AXPauNBSrHXRVvEMSdjw57t9yEyDlu3I77/oyv/zww3m9PTzMbtFNCcFLHYACdwNk6fVecYjs7+b4Q5AiwGwDBwTpZs3rbt/cgvhY3ama9Aj4FtJ8bcPMcm60IIIVIGJ7u0xttQbduHNy0mCKxIzpZHUzcuwNqDW2PX++byQfvqTdGpRkvULxNk8k05WaHQ3rt3r2llYkVM+fLljVebsF8q05LS0nts88Gs0OZjmzfMaCrryaY44DqOXzZXjOskurM38U3i7DlDwR0SEmL+T1ZU8rx2fE1GFMPj/4c1dSiOmMPK/xcXhANV85SET5H8mLtvNQ6cPooxSybhh0V/oFpgBXSt3RodqzdHgTz50uS47HfC74jXIh4b/0P8/qwXXP8nIURGk+HCu2/fvjh16pQR0xTR9FLPnDkztjjaoUOHbprEsTIgrcOsvhe3wh5ztW2OOMU7e7TRA9O8eXPznjk9ZEUIIVIDXoMpuHl95X1OcNOiHRhFyPpD2zF10wLM2bYc4ZFXY/tsNypfC91qt0Hrqo3g43UjYonHs23bNuMxpnCxcNJNQ62jwEmL+h2c9FsPpvXacJ/0ZrMgG2+tQJD3QsQHzxlHowsj+HiuUHzzvKKopAi3YeqO4enWeJMeUPSzoj+Xpk2bmnQ+esEHBwfjpYhwLNy5ClvXbUa+yFw4cCUUv8+fjE9m/YzmleoaEd68Yn3k8kx9Ly6/K/63rQGDUS28LtArbvuCZ9dibEKIzE+GC2/CsPKEQstZOM0RY1lNAg48LOXPRQghROpgK5TTw00RYNv7pPZk/3z4RUzdtBCT1s82njNLKf/iRmx3rdUKxf0Kx7Z+slCQsCcq4bEx4ontTqx4SW3s5N4KbdtOipN7G+Zq23cJkVxsVXrb797xvKMQp6PBesWtELdRFOkBz3vW1LF1dfLmzoOutVojYu9ZhIWFobJPoFnCoyOw9/hxfLTvB7zl+bWpv3B7rdZp0iPcGjC48L/J74bXLn6HbDFLT3h2CEMXQmQtMoXwFkIIkbkFN8U2J66c7NvJa2pCMbHp8E78tX628W5H/K8quY+XNzrWaIbutW9D7VJVzYSaeZwbN27Enj17jMfNdsWgwA4KCjI9SZmilNpi2+bk2vBxYsPrHYW2ip+JtMRRVPLcYx9ax4JtFOK8tULcMTQ9PY+xV69eCA0NNSkf+/btM+HoNXzLmOXotTD8uXamWcoWKoHudW7D7bVbm1ZlqQ0/N78n/n9pqKB3/syZMyYEXWHoQoj0RLMDIYQQ8cJJqhXcnNhzgpragvvi1cuYtpne7TkICT0Uu75KsXLoU68DOtVsYTxoFPwU2lyYv22hAG7cuHFs8Rnmbacm9JbZ4lecuDuGjtMAwfsS2iKzCHEKSQpx21OcKRcU4jZHnCLURmGktdjk+zNtkAv/o/zfMm+dkYt1ytZE5CVvLNixEofCjmH+isUYtfBPBFeoiZ5126JZpfrwTOX+4LYnOBd+N45h6Lyu0XimMHQhRFqi2YIQQoh4PdzsCEFhS4GZ2jnRIaEHMX71dEzfvAhXr0eYdd6eudChRnPcUb8jqgdWjBUGK1aswM6dO2/qncmwVltAMzUFRHzh4xTXnJjze0gv0SJEcuG5abu1UIhTcDt6w231dGKL+6W14OT/yOaE83/MY+qZqysudbmCf5fOxsV9p9A0pioOnTqFzyePxrte35lw9R5126JMGlRFt4YKHouths7/N6uhU4grPUQIkRZIeAshhLhFcFsPd2oK7qjoKCzZsw6/r5qGNQe2xK5nn+3e9TqY3O183r6xPcAdhQQnyMxvpdjmQkGRWlAEWA8hhTcn5Jx8c7ECRsXQRFaF56719FJY2rB0im8KTusNt7nhaS06HSNEGM3SrHJ9rLu4zhTaLedd1CzhUdewe8sODF49F6WKl0Tv+u3RrloTeP+vkGJqHgvD0ONWQ7d54CrKK4RITSS8hRAih0PBSbFti6altuBmOPmUDfMwYc2M2L7b7m7uuK1qI/Rt2AX1SgcZwXvw4EEs27XLVEfu3LmzydMmzNumZ7tIkSKp5mm2IeRcKEw42WbPYn522+ZLiOyIzfmmsOQ57yjCbdV0G+mRHtEdpUqVMgvzrm06CfPBa+ctZ5Zxxxbh9cNf4KOZo00eeJ/6HVAuoGSaVUPn90EjAEPRaeCjwU954EKI1EDCWwghcij0fFFsW8Gd2kXTWJH899X/mgrlVyNv9NL288mLXnXb484GnUxlcuZYrl692ky2HVuAsb2kFd6c+HJJKbbVFz+3FRbsS8wJN+8rv1PkdG84/x8UnhTh/D9SiNsCbTROpWXkB40AjRo1QoMGDYzxbffu3Th/8QL6V+mOv9fPxYkLp7F+80bMXb8EJYuVQJ/gDmhbrUmqtiXjZ+V1kIvj9dHmgfNW0S8ZA42ljExIL/g75+QxoXXr1qbF82effZamr8lpSHgLIUQOgwKUHm56dNJCcG88tANjV0zBol1rEIOY2HDyfg27onPNlqbvNif006ZNu6lQGif/lStXNgtFQGp9VtvzmJMoCmzr2VYIuRDx54bT0MX/jG1XxoVFFvl/SWsRzvdlZwIuFFp8PLB5HyzZsQa7lm+GO9xwKvwCxs2ahM9m/oxOtVuiT3BHlPa/0c4stSMDbDsyGiOsgYICXEUV0w/+BjTG0BiSXvC3Z02CtBTfI0eOxIcffmgMzbVr18aXX36Jhg0bpug1ixcvNs+vW7fOpE78/fff6NmzJzKC1BLip06dwuuvv27mDOxKwOKm/Oxcl9oFVdMaXTWEECIHTV44eWRIJyfUqdmHOzom2gjtscsnY9ORXbHrW1YOxj2NuiG4bA2zfztZ5b45mee+ObmpWrWqmWinxmSe+6HY5iSNkyZOlhlWa8W2QkaFcD7/mQv/U/SAWwHKxbFIWVqKcOLh7oHgMjUQExpuWpMV9sqPwn7VERl9HSE79mHw2qGoXKYC7gzuhOaV6pntU7sdmc0Dp7FQ/cDTF373NlIpPQwetm2k7QSQEuH54IMPmiUuEyZMwJAhQ/Dtt9+aSA+K044dO2LXrl0mrSo+nHkNx1WK0oEDB6J3797IDvTp08c4CcaMGYPy5csb8T1v3jyEhYUhqyHhLYQQ2RxOHjhRpoebE2da8lNLcF+7HoFpmxfhlxVTcDDshvfay8PTFEq7t3EPlAsoYSzz8+fPN9b3fv36mYkT992qVSsT5p0ahdJs5WZOlmy4KD3bNoxcYluIlItP2zfc0RPuKMLT8r/Gfbdp0wZNmjQxbcm279iB8+fOoVqeUmZZeGwrnpkwAoEFiuCO+h3Qo247FMyT8hSV+PLAbT9wXlNViC394NiRXpEGFHppySeffIKHHnoIAwYMMI8ppunRHT16NF566aVkv4b1Ubi4Av/Hjz76KCZNmmTG4+eeey7eMfb999/H999/b8Z0Rqa99tpruOOOO+J9TxobFi1aZJbPP//crNu/f7/pUPL2229j69at5rrC/zOfr1ChQrzvw3S0JUuWYOHChWbOQMqUKZNkZEBmRcJbCCGyKZwgckDlwMXJMQc5Dqqp4Z1iwbQ/1840FcrDLp+LrVBMj1O/hl1QwDufydueuHCF2b+F4YJly5Y199nfNyXYQkicINkwWYaBWrGtMHIhUh9eR2zVf3rCrQjnNYbh6I59xdNChFPg1qhRA9WrVzfid/v27aY3eIMadXB0y1kcOxeKXxZNxtjFf6N5tQa4q0Fn1ChRKdX7gfM4eO1xLMRm2w7K0CcSg+cNQ8GHDh0au47jVbt27Uz7zNR6jbM8//zzRiBPmTLFeM5ffvllrF+/3oSJW0aMGIFff/3ViH12FmFI+7333mvqpFhB7AjFNOs08L86fPhws65w4cLmM9BrX6tWLXPNYLh4r169sHHjxnjHbGvwmzx5Mho3bmzG9qyMhLcQQmRDGBbKyaCdCHPgSg0heu7KRfy+6l/8vnoaLl27YtYVyx+A/o27oVfddnCLijGWbFq1KYoJPRQVK1Y01cnpLUsp9Gpzsk8LvM3ZpgjgZFhiW4iMEeH8b/O6w8k0hTjrSKRldXS+X7FixcxCUUKh/592/TFr61LsXrsF+WN8sO/QCbywYwQKBQTg7sZd0T6oKbw8vFI9J57XJBoY+ZltJXQaACXAcxbvvvuuWSz8P6xcuRJPPPFE7Doaijgm0mgV1/jMxxw74+P06dMuv8YZ+H8dNWqUEdVt27Y16xjSzRQwC8dyfq65c+caDzVhyPfSpUvx3XffxSu8aYTif5L/A/5HHcPGHaG3noKc3wtFelz4Xf3888/G00/RX69ePbM/Rs9RvGc1JLyFECIbwQkoJ4CsxEthSjGaGqF5YZfO4deV/xgv95WIq2YdW/oMaN4bHas3N+HlhPvetGmTuc8JKL1SVapUSXEepGPeNifxfG8uqfX5hBCpF47OHFkrwpnewvv8n1KkpsX/1V5fWLjx9pqtMP3wZeMNr+QTaJZTkecxZsaf+HzOWPSp39G0JCuUN3UKODoWYrOFK7nwe6D4oPCQQTBn8Mgjj+Cuu+6KfXzPPfcYoemYax0YGIjQ0FBkFvbu3WvmDcwZt9CYzXHbwtQO/o/bt29/02v5urp167q0vz179hgv96pVq4wxwVaqP3ToULzCm/A77Nq1qwk5pyFjxowZ+OCDD/Djjz/Gmz+fmdFsRQghsmGlcgrS1Cj6c/LCaYxdPgWT1s8x+dykSrFyGNziDrSq3AAHDxzElk2bjRWaMNSb4Wm0YKe0WBpDyW17I5u3HRAQEFskTQiROaG4tsYx/ocpvHl94i2NaDYfPC0EKffdvXt3M6mnF21PyB4Uhh/aFayNS1FXMW/1YoxaOtEYDNlpISiwQqrum5/ZFrJkxJFtRZZaUUci80LBysXCsYqh24z4coTjGA1VNA45wseO3uGUvia1sHUcmE9u23xaXB2Lu3XrZnK0f/jhB2OEoPCm4E4qp57jP4U/F+aWDx48GMOGDZPwFkIIkf6F01ipnJNaDoKp0Rrs+PlTGL30L/yzcT4io66bdcyTHNziTjQuW8vkbv35x59m3xTFLLTCiSVhH96UYPNGaUzgBJ0TGVu8SBNXIbIWNt+b4dc0otnWZPbakVb54BQqLVu2NEWYduzYga3btgLhQKmCxbDn2DH8u3mhWeqUqoq7G92ONlUbwTOVqqHbehq8PtNTyM9sW5HxWpaT+0OLG/+J+vXrm8rcttUXzxU+dgxLT+lrnIFFzRitQQ80jeWEBnyO8TaEnGlinFvQKx1fWHlin5PjuSUsLMxUYKfobtGihVnHcPXkwGNi3ndWQ8JbCCGyIPQGc0LHAZITWHpaUqNSeeiFMIxa+hf+Xj8X16NvCO76ZaobD3fNYpWMB2n8+PGx+dsUwxwAUxo+Gte7zfBMmyfJSYEQImtjo1a4sA+vDUXnQm84xSifS+1QdL4nw2GZD8pWZAPLl8f243sxfvU0HN1/GEUueuOTKT/iszljjADvWbetKRSZGtBQaFuR8fOyFRkFOD+/BHj2w7HVHuFYSVgF3MJoMP7uLDD2wAMPIDg42BiH2BqMBhpbsdz27J44cSIWLFhgHjvzGu6foeEWVhJn4TIasK2wdoTn4aBBg0yBNdZpoIf+lVdeucnIbSudP/PMM+Zcbt68uUlnW7ZsmRmneUzxwUKqFPQsfsj9+Pv7m32wMnrx4sWNkE+ogrujWL/zzjtNezT+h3ksa9euNaHmPXr0QFZDwlsIIbIYFKcU3Bz4SGqEMDKH+6dlkzBx7SxEREWadQ3K1sR/WvVFvTJBpho5JxHWes3BloMgq5umZKKckHebk1MVJhIie8LrlS3Kxv+8DUWnMZHXBHrXUrs/OMUOr1ekZsnKJoJn3O+/48rly6jgUxzHrp3Bn4um4ruF49GrXjsThs7WZKn5eeP2ArcCXHUqnIPjRGbez0cffYQ333wz0W0ohClI+/btayriM9+ZwpwpWjNnzrypeBrTJbi9xZnXUJSy7Z6FYp1QHLNIWXx8+OGHRrAzDJzC9tlnn42dX1jeeustYzRgdXMasBi9wRQzVkBPCIp17pfGef7H9+/fb+YRTz75pAkvZx75F198YfqdJwT/H8w///TTT00+Ouu8lCpVyhRbS2zfmRW3GLoZxE3w4s9QTZ50nFymBzyRpk+fji5dusi7k0PROSCSOgc4GeB1iQXMuC29wSmdsJ29cgFjl0/GhDUzcDXyhhe7TqlqeKzN3ahdokrscVDs//777+baWLt2bTNxSMmk2FYmJ/Ju/z+6Doiceh7Y/tgU35yHOdZ2SKvvgCk6W7ZsMR5CW+TpdOQFbLi0DweuhaJNtUa4t3F3I9RT+7NSiPB35ufjdZXXQMfreU48BwjPAQq0cuXKxfZGpzGGxl9+J+kFv3NW9s7IqASek/wv8NxQmlXmOy+ToxtlYhNCiEwOJ2m0RjPkyuZxp9QoyD7cv6yYgnGr/o2tUl4jsBIebXM3yvkWw4YNGzBtY4gJ5bJtc1iZldbw5Hqibd9tLpxgcqCylck1qRAiZ2P7Y9tcaApw25qM9ymEUrvOA73tzFll7izbIDIXPAD50b5gHWy/cghzti83S+2SVXB/055oVaUB3N1Svn+bTmONDSyQRYMqP3dcAS5uRCtQBFvjSHrA80ypACK10T9bCCGyQD9umwOZ0jxuViafsHo6Ri+dhAtXb+SiVS1WDv9p1Q8V8wYawb31+BqznvvhZJDhkCS5Yt/mN9JjTwHPHDKGj6kyuRAiseJkXGxBNl4Dbf4sxXlqeoF5PWrcuLEJ3WUdC4rw/s16I/+eIpixZQl2Ht2Hl/78CIH+RXFfkx7oWqsVcnvmSjVjAw0K/JyOApzrxc3nhISwyOpIeAshRCaEIXU2j5vClfmBKZl0REVHmQq+3y2cgBMXTpt15QuXwqOt+6GSbwlTfGX6yY2xln5WKWdIeUo867aXL706PH6+F2/lzRFCOAsNdFysF5wV0a0XPLXbklEAM2+V9St4nWoQVBdP3HYPJk6fjKhzV7Hx8n58MO0HfLPgd/Rr2AV3BndCfp8b3RxSgg2p52exHnB7neR1NCeFmguRndHsRwghMhn07HDhBCyl/bgpehftXoOv5v+GfacOm3XF8gfgkdb9jNfm2NFjpjgLobBnsRMKbtsaLDnYvr3WQ89F4eRCiNSoEM4lrhc8tXPBHY2DhXwLoIinH864R6FRvsqom7c8Nl7ajx8W/mEih1iI7Z7G3VDcr3CqesD5+Qhzm1kJWiHoQmR99A8WQohMgi02xmqlNo87JWHlGw7twBdzx2LTkV3mcX7vvBjYvDe6BrVEoQL+Zl2JEiVMv1u29qCXh3mHKc3f5uSXuZM8fk4gVZ1cCJEWXnDWibAV0a0X3D6XWtcdCv5evXqZSs5MxWEoeMN8lVDvfwL8r9WzTPpOxxotMKBZL1QocmvLpuQKcHttpQec0U85qQq6aj+L7Hg+Zv9/rhBCZHIYSsjJHFuHEIZjp8TLfeD0UXw+d6zxdBNvz1y4u2FXdCjXCNs3b8PM/TNMWxJO3jip7NmzZ7InqbY9DkPjeczK3xZCpBeMquH1htdMGv1sT3BbE4PiNTXygnmdrFixIsqXL28qG1OAMxUoOF9FlCxQFH8fWYrpWxaZpXWVhhjQrHeqVUK30UK8zh4/ftwYM23bxeyY82w/EyOnlOcuMgs06pGURtVIeAshRAZaUJmvyJY29NpYsZ3cydS5Kxfx/eIJphf39egoeLi5o0edtuhVtTVCtu/G4vmLzHYU3BT5xYoVM4+TI7odC6ZxckSvOSe/ykUUQqQ3NtSci80Fp4eYt7zOcn1KjJkWCuAKFSoYAX7gwAFs3rwZ97S/B33O9cBPy/7C6t2bsHz3eizctRrBZWtgYLPeaFS+doq9744h6Lzusg84o5OsBzw7pfFwfOJnY79qjifZ6bMlZ5ylAYJGl5z8PWQkvH7wOhIaGmquLSk1dkl4CyFEBsCBlIKbnhlONBiWndxWKRHXIzFhzXT8uGSiaRNGWlQKxn21u+JYyEEsX7jUrOOAUb16dRNSnlxPAo+RgxBv+R5FixZNceE3IYRILez1lBXRKVJp3KQnnEI8tYqxUQizny8XEpSnAj688wVMmvK3EYxrL+zBxoM78NiB4ahWvIIJQW9TtRE83D1SpQ2ZNXwePXrUXH8pwHmbHcQZPyNTnxhZcPDgQeRkbL93jrVK2cpYKLqtsyIlSHgLIUQ6EhUVZcLKGaZIb3FKRCsH5fk7V5qw8iNnT5p1lYuWxTPtH0TlgqUwceJEs47vX61aNVM0Lbk53DxuTgBshXXmVmY3T4sQIvtgRar1DFvxTSGemmHoFoa6R0Vch3uMGxrmq4xgv8pYc2E3Nh3fjxcmfoSyASUwsHkfdKrRAp4pFOC87vI6bA2hFOC8HlMccH1WF2k0kFSqVMl4e3MyTOFavHgxWrZsqWiyDITffWpdKyS8hRAiHcOV6OXmBJAhg8kVwWTb0T34ePbP2Hh4h3kckLcAHmnRDz3qt431qjAkkt4d9qblZCy5gtuGa3JiR8GdXTwrQoicAYUc86J5/bLV0HmbmmHovNb26dMHe/fuxfr1680+GuWtjIZ+VbD6wm5sPL0Xr0/+At8vmmBywG+v3RpeHl6pUundCnCOLfT009CQ1b2k/Gz8bXIyFHs00KdmxX6RsUh4CyFEOvXk5sKJECdGyRWupy+dxZfzfsXUTQtiC6fd16A7qngWw8GtBxFeLTy2FVibNm2SPfGygptQaNOTQkOBBLcQIqtiWxw6hqFz4f3UqIbO6yM9tTR67t692whwCvxGvpXQpEId/LZrtolOeuvfb/DD4j/xQLNe6Fm3LXJ75koVAc7rNsU3FxoZeN3O6eJViMyEhLcQQqRx8bSwsDCT003hmlyrdWRUJH5fNc1M1i5HhJt13Wq0QquAWjgQsh97o/aadcyJYx43Sc4E0lFw29BFHndW9pwIIURCYei8xtkwdHqpeY2mWE2JkZGvrVq1qhHhO3fuNF7wrl26on/H3vhr/RyMX/Evjl04hfdn/IBRS/7E/U16ok/9DvDJ5Z1iwwKNCrZTBscfK8BTw6svhEgZEt5CCJEGMN+PgtuxeFpyxeuykPX4aNZoHAw7Zh7XLF4Jd1dqhxMHjmJvWIhZx6IfDRs2NMXOUlo0LTvlCgohhLM9wemdpmClELeVxFPSM9sWtAwKCrrxfh4e6N+wKzwPXEZ4sQjMObUeO88dwidzfsZPyybh/qY9cVdwpxQLcDvmMEea4xAFOK/pXKeQZSEyDglvIYRIRShcbfE0hpinpHjaoTPH8cnsn7B491rz2N/XD0+0uQfX9oTh8J4DZl2hQoXQoEEDlCxZMtltwazgttVxFVIuhMhpUKxSfNNjbNuRUYCnRh6447WZbYko8HnNbeNTHZ0CG2L6idXYfeaQKZQ5dvlkPNC0J/rU65Diz8Rj5sKIK+6XhmBe4/kZ1YlCiPRHwlsIIVIJ5gla7wI9KPQuJIcrEeH4eflk/LryH0RGXTcVcO9u2BWDW96JfN6+WBO1BiEhIUZwM5cwJX24GVpuc7hVNE0IkdOx+dK8HlKwUqymZh44o5PuvPNOrFu3zlzHr529jHbeNXB77SaYfGgp9p09is8owFdMwW2lghFUszp8PZJfiJPQcMDj5uc5fvy4+UwsNqeoJiHSFwlvIYRIxRZhvJ/c4mn0rKw/sROvLf0eoRfDzLo25YLRzC8ITWs1NqKb1K1b1yzJCYG0fUHpjbdtdtQWTAghbsaGmnOxeeC8zqdGHjiNsix+WatWLaxevRpHjhxBeOgF3J6vPvI37IqfVk3B0XMnMXHnPMw/vBYPNuuNO+p3gLdX7hR/HgpwevS5Tx6HrYAuhEh7JLyFECIFcAJDL3dKW4QxrPz96T9gxb6N5nG5AoHoW64NLpw8i7CTp7BmzRp069bNPJdcwc28cy48zsKFCxvBrXBDIYRIHOvpplC1eeD0gvNaTNGaXAHOVKHOnTubPtyrVq0y1+bODTuiW3A7TN04H9/M/x1hl8+blKOxy//GwOZ3oHe99sjl6ZVijz4LsPEz8POoAJsQ6YOEtxBCJANbNZZ9uSlqk+vlvhp5DT8v+9ssEVGRyO3mhfuDOsP7QgzOnzhjtilXrpwJK08uFNsMMeSkisXXOHlMScEgIYTIidDTTYHK6z0Fq80DT2khthIlSqBnz56mGBrfy8vDEx2rNjP1PNyL58XYjf/i+PlT+GDmjxi7YjIebtnX9AFnGlJy4bHyczgWYKP3myJcBlkh0gbNvIQQwgUosjnh4kSF3m5OtpLrJVi6Z52ZSLGvK+lQpiEqRxdB1JlIXAeMV7px48YmJzA5MJycYeWcYPG9KLjl0RBCiNTpB07PsWMhNpJcAU7DrWPP7U2bNuHSxUvAxUt4pvqdCPO5htGr/8aJ86cxfOpIjFn+Nx5p3Q/tg5rC3c09VQqwnTx50ghw5n/zsyn/W4jURcJbCCFc8HLTw81cbk5IktsijBOnD2eNwoKdq8zjIvn88VzHgSjhVhBLly414eqNGjVKduE024ubr6UHgx4ahkkKIYRIm0JsNHJSgFO4snhlSiuh16xZ0xRC45izf/9+I/bfaDoYIZEn8NPKyaa95NC/PsFPSyfh0dZ3o2Xl4BQJZVuAjWMHQ9+V/y1E6iPhLYQQLnq5KYyT0ws1KjoK41dPx9cLfkd45FXk9fBGn1rtMbhDP/jm9jHC/sCBA6bojqPnIzmtwTRpEkKI9IGCl+OCLcTmWAndClpX4fuVLl0aLVq0MDU+jh07hq2bt5j1X97+ApaHbsUvK/7B7pMH8MyEEahZojL+2/ZeBJetkaLPQSMCjbc2/9uGn6v/txApR8JbCCHSwcu94/hevP3vt+bWHW7oVKIhKrkXRe6LuZHL/calmO8bEBDg8gSHhgGGCTJXj5MyhQkKIUTGV0K3HnDeJrcVGQuwdenSBQcPHsTKlSvN+509fQYPtbwLdzXojLHLp+D31dOw5ehuPDz2dTSrWA//ve0eVC5WLtmfg951m/996tSp2PDz5NYyEULcQMJbCCESgNb+06dPp8jLzZ7c3ywYbyZG0THRqJg3EJ0KByPqaiSuR183ngS+P29TUjiNE7rixYubiZEK4wghRMbCa3KRIkWMAKdwta3IkiPAuW3ZsmVRsmRJbN26FVWrVjXr/Xzy4cGGPdC7dlv8suZfTFo3G8tC1mN5yAZ0qdXShKAHFiiS7M/AUHmOe/Tc0+PO8YUCPLndO4TI6Uh4CyFEGnm5F+9ei/dmfG9yun3dc6N36RbIG+FlRDfDD1mpvHLlysnyIPAYaRjgpIiF0xQKKIQQmQ+KV3qtOY44CnCu5zjgytjCom116tS5KdppyZIlxivdtV5j9GvQBd8tmoBZ25Zi2uZFmL1tGe4K7oyBLfqgYJ78KQqjZwoTxxwaimlMYAi6xhwhXEPCWwghEvByJ7di+amLZ/DhzFGYu2OFeVy+QAl0zlsH0RHRZhJTrVo1BAcHJyvvz+Zxc8JlC6clJx9cCCFE+kGRSm8xBTiFN8PPecv1HGuSY9xlKDijnnjLMHSOB/9t1g/3NemBL+b9gtX7N+O3VVMxZeM8PNC0J/o3uh0+uZI3XtBATI83u2Ww3gnHSoWfC+EaEt5CCPG/SuD0cNPTTZLj5aYYnrxhLj6dMwaXrl2Bh5s77mncHf9pdReWL1lm2s00a9bM5HG7imMeN/O3bbif8riFECLrQK+1FeAcE6wHnAKcRlRXRCyNtz169MDu3btNATa+17Rp01CxYkV83Pt5bD6xxwjwXSf2Y+SCcfhj7Uw83qa/6QGe3BZkPE4eO8PPWXWdn4GfR4U8hUgaCW8hRI6HEwh6uTmBSK6X+/CZE3j732+w5sCWG2HlxZuhe7suqFWumnm+ZcuWZsKVXK8Gj9HmcXPSIw+DEEJkXTge0ENNjzHHHhp+GYpuBbizcCxgzjdzwNeuXYsdO3YgJCTEFGPr2rUrfnvoQ8zautQI72PnQvHGP19h/OppeKb9g2hQrmaKws9psOaxc3ziZ+GSnB7mQuQU9O8QQuRYGLZNDwG93JxAJCdkji3Cfl81DV8vGIdr1yNRL18FNMpfBYiOwen9x4H/Ce9ktR/7Xz9uHhNzBJVTJ4QQ2QsWw2SNDkYyOQpwV8ciivXmzZujSpUqWLZsmTHY0hNNz3bnmi3RtloTI7h/XDIRO0/sx39+GYZWlRvg6fYPoEyhwFSpfs7j51ilrhpCxI+EtxAiR8KwbeapMcSPE5bkVGkNCT2I4f98ja3H9qCwlx/uCmwB35hcRnSzmm3t2rWTdWwMK6fgZgE1TmoouFVFVgghco4AZxQW4VjgipBlsc3u3bub19kOFzQyb9qwEXfW7Yhutdvgu8V/4K+1s7Bo9xpTBf3O4E6mPVmBPPlSVP2c+2T1c34Oiv7kRI8JkZ2R8BZC5CgoalnUhqKbRWKS4+WOjIrEqCV/YfTSSXCPAdoUrIWq3iWAmBsTkEaNGhmvQ3It/jQG+Pr6GvHOCZfCyoUQImcJcKYWsXUYQ7ddLcLGMYNjh4Xvs3HjRhOG3rBhQ7zYabCpdv7Z3DFYumedaXf57+aFRnz3bdAJXh6uR1bxuDhu0WBMrz1FOL3fKr4mxP8j4S2EyDEwHI6Cm8KbApm50q6y/ViIyZELCT1kHt9RphUKR9zwRrOgTePGjZNVZIZh5QwvJCy+xkW5ckIIkTOx3uoSJUqYyuUUs8ltQ1a0aFEjgjn+sf3Ynj17TFj6F3e/glX7NuGTOT9jz8mD+GT2T5i0fjae7zgITSr8f9syV+C4xbGVUWUsvmarn6v7hhAS3kKIHOLltqF7nAzQE2AnNc4ScT0S3y/+A2OW/Y2omGjTE/XFzg+hdaUGmDNnjumtyglSco6NhWnoJbAeCk6QJLqFEEI4hqDTOGsFOD3iXJwR4BTePXv2NJ7vdevW4cSJE5g0aZJJh6pfpw7GPfQR/tk4H1/N/w0HTh/F478NR+sqDTGkw4MoWbCYy8fMY7KFSnmsHONs+0t5v0VORjM7IUS2hoKWxdM4WeEEJjltwrYf24s3/vkSe0MPo5ZvWdTxr4j77uoPf18/8zwrxyYHhrozHI+eAOblySMghBAiPjh+UbhSgFPM2jZkFN/OjB0UvLVq1UK5cuVM8bXDhw9jw4YNRsy3adMGveq1R7ugpvh+0R+YsGY6Fu5ajeUhG0xP8IHNeyer/7cdc2nwPnnyZGz4uVqPiZyKzE5CiGwLB/mjR4+a8DpbQM0V0U0v98j54/DAqBdx9sxZ3FW4OZrmr4o81z1x4dTZZB8XC93QA8/wQU5CSpYsaTwa8gQIIYRwpg94qVKlTB0QW7eE44kzMOe6Y8eOaNeunRHxjNaKfc7bF892HIDx//kEjcrVQgTrmSydiN5f/9e0JOO+kgPHX+6XYedHjhwxYzLTq4TIacjjLYTIdlDY0sNNTzfvp8TLvT/0CILzVUTdvOXhBjcTOsc87jJlyiTr2Gj55wSJkxBOnlStXAghhKuw2JotXkbPN8U3FxvinRgcD+n55jjmaPBdv369eT/WK/n63mHG6/3x7J9M/++hkz7BH2tn4qXOD6FSUdfHP+6H783xLzQ01ISfy/stchoS3kKIbAUHdeZy2zZhDMNztWL5D4v/xE9LJ6GIlx/6FWmJ/B43JgacqDRt2jRZYpkh77T2c0LEfDvlugkhhEgpHFNYjJOi1opvGng5TiVVK8RxDKIXmsKbXu29e/ea4mttqjYyRdZ+XfEPRi/9CxsObUf/759F/0a34z+t+yJPLtdFM8dkGg04HvI4mfvNReOhyAlkirN85MiRKFu2rJkksw3P6tWrE9x227Zt6NOnj9meFrvPPvvslm3eeOMN85zjUrVq1TT+FEKIjISTBYpthrExZ42TEFdF9+6TB3Dfjy/ixyUTTQG1TkUaGNHNCUz79u1NaJ6rotv25OZCsc2wcnq6NckQQgiRWnC8Y+i5TV2iR5kpTc6GdFP81q9f34xNzP+eOHGiaT+W2zMXBre8E5Me/wptqzU2Y+MvK/9Bn6+fxLwdK5MVfm6938wBp/ebvb95vEJkdzLc4z1hwgQMGTIE3377rRHdFNLMPdm1a5e5gMSFk9fy5cvjzjvvxDPPPJPg+1avXh1z586NfawKwUJkX+hNprWe4eW2lYkrREVH4ZcVU/DNwvGIjLqOAnny4+UuD6N24UrYuXOn6XvqqoiPWzyN1zNONJLb21sIIYRICoZuc8zhOMgCbDREU+jSaJyYwZfP1a1b1zi2Fi9ebATx0qVLjfe7ZcuWKOYXgA/vfAHL9qzH+zN/wJGzJ/H8nx+gecV6eKHz4GRVP4/r/aZRWtFgIjuT4Wf2J598goceeggDBgxAUFCQEeC8OIwePTre7Rs0aIAPP/wQ/fr1S3QizMl3sWLFYheG4Qghsm8BNeZz89rhqkf68JkTeGjMa/h2/ni0yFsNfcq0xJ+PfGaqu7LSeIsWLVwW3cwr52THsXhacvLMhRBCCFfhWOPr64vAwEDT5pJCnGMSx8ukPNT0fHfr1s3UMuFcmr24//nnH2PgJs0q1cMfj3yGwS3ugKe7J5aGrMed3zxtIsVYkDS53m/esvI590cRLkR2JEOFd0REhOknyPDN2ANydzePV6xYkaL33rNnj7ng0Dt+zz334NChQ6lwxEKIzALFLb3cFN0cpClsXYls4eRj4tpZ6PfdEJwJDcPdRVqiSp6SKB6VHz7uiRemSQyKbU5waADghIeeblr0hRBCiPQW4BS1NP5yTswxkilZSQlbzsVr1qxpUjv5OoagO46v3l658Vib/vjjkU/RoGxNXLsega8XjDPj6doDW1NU+ZzjJ8d15qont4q6EJmVDI2/ZgEk5p6w0JAjfMzwzuTCkPWff/4ZVapUMZazN99803ittm7dav7U8U2UHdsw8KJkw0S5pAd2P+m1P5H50DngmtGOotsWUKPIpRB3ltALYXh72rdYt38rmuWvhqp5Spr1FO8MqaOH29VWJ9w/w+WYs8ZwOebY8b4rv6fOAaFzQBCdByK1zwGOkyzEZiug2yixxAzD9Joz/ZPYMZGi+NSpU6YneKmCxTCy/2uYvX0ZPp0zBgfCjuLhsa+jR522eKrtfaY9matwn8z3Zr0WjqMcT3Oq8VrXgayBK7+PW0wGmpNYTIEeoeXLl6NJkyax61944QUsWrQIq1atSvT1zEN5+umnzZIYzHFhywSGtQ8aNCjeYmwU53EZN26cWv0Ikc1Yc2w7xm2bhQCPvGjtVxO+Ht5mPcPKixcvrtwyIYQQIgEDMwuuUWjQ6F26dOnYeXJ45FX8vXshFh3aYB7nz+2Lu4M6ol6xKhl81EKkLUzh6N+/vzFoJVVjKEM93sy7pkeIOR2O8DHzslMLFmqoXLkyQkJC4n1+6NChpsCbhdbAUqVKoUOHDi4XaUouvIjNmTPHVE7OqZa9nI7OgcShtZ0WehrSeN1gARlXcqYvXr2MD2aNwsytS0woeafC9eEBd/MfZ0RM3MgbZ4+JXm7+XrzO0DqfEuGuc0DoHBBE54FIj3OAnmVXCrDRV8cc8JUrV5pwdaZ1MiSdRdk4Ljdr1BQbD+8wEWUHw47huw2T0LpKQ7zQcRAK5/N3+fhsVxAKfo6x9H5zPzkFXQeyBjZS2hkyVHgz5IV5I/PmzUPPnj3NOv65+PiJJ55Itf2wnQKrMt53333xPs+w0viKJ/EkT+8TPSP2KTIXOgduhQM8U1M4OWAYmqvfz7oD2/DalM9x4vxpeLi5497mPdHEvxquXL5iCjYmp+sBJywcFDkJ4WSA1v/UQueA0DkgiM4DkZbnAN+XKZicJ9OwTZHLuTnHs4QM23Rk0TnFaNV9+/Zh8+bNJiy8devWppho/bI1MP4/n2DUkon4ednfWLhrtcn7frr9A+hZty3c3VwzTtM4zrGW3kQau+m0o+E9J6HrQObGld8mw3ts0dP8wAMPIDg42LTsYTsxepBY5Zzcf//9Jhx9xIgRsbmd27dvj73PXJONGzcib968qFixoln/3HPPmYqMDC9nOPuwYcOMhezuu+/OwE8qhEhub26KblZUtZVPnSUyKhLfLBiPcSumokn+Kijs74chPQajdqnkh745erkZmu7qMQkhhBCZrQAbvd00blOAc9xNLP+bwrdt27amgDFbjvE1kydPRu/evY0xmr2/WXyN3UHemvo1th0Lwdv/foOZW5bg1dsfQelCgckyEHDs5bxfbcdEViXDhXffvn1NkYbXX38dJ06cQJ06dTBz5szYsE9WI3f8Y1FIM6TF8tFHH5mlVatWWLhwoVlHyxtFNosvMW+zefPmJiyG94UQWa83tx10XWHfqSN49e9PcfHMBdxVuDnyefgYy3nNEpWSfUzWy20LviSnt7cQQgiR2aCDimKWgpvh51wYbcbHCYV3lytXzszXKb45V+frHalctCx+HjgCv6+ebqqerz24FX2/G4LHb7sH/Rt1dcn7bduO8ZiYksqiyPR+yxMsshIZLrwJw8oTCi23YtqxoFpS9eDGjx+fqscnhEhfKHBpkKN1m6HlrrYJ+2PtTHw55xfUzVMObQpVNes5YLNieXIs5PRyMxSPIXj0cqsntxBCiOwIxzm2wWQkKQ3f9IJzDE6orgqFOXOQOU7a5ymO9+/fj6pVq8LD3QP3Nu6GNlUaGq/3qv2b8cnsn7Bg5yq80f0JlPJ3raYTw+AptmkYoPimU43zBCGyAplCeAshhBXNzONiaDnrPbgaxh126Rze+Ocr7DoQgm4FguHvdcNLXq1aNdNmMDmWcevltoVd5OUWQgiR3aGgtr21Hdt3xjcGUnBbAznHcXrAKby50OBNEV+iYFF8fe8w/LV+Nj6dPQYbDm1H3++ewVPt7sedwR1d8n7TA08DuA09Z245Q9wVei4yOzpDhRCZJrSc4WNMOeHgyYHalUF02Z71ZhDfeWAPegc0MaKbFvpOnTqZdBNXRTet9zQCEHq52WlBolsIIUROgWMwBS6LqdGzzHGRAtz29E4IjpkUxxTFf/31F3bv3m0EOQX6HfU74o9HPkVw2Rq4GnkN78/4AY/88gaOnQt16dj4Xpwn0EMfGhpq5g6s/SREZkbCWwiR4bCSKgdohrVZK7uzXLsegQ9njcJ/f38bZy6fR0F/fxQpVtSkpdxxxx1mwpAcLzct6fRylyxZ0uR0K7RcCCFEToTebOZTczy0nmaO2/GlfnKsrF69uim0xpB1iuFFixaZtlgcWwm939/e9wZe6DQY3l65TdXzu759Gn+tm51kOmlcKLwpwGkQ4DyCofGuvocQ6YVCzYUQmSK0nBZ0V3On9506jJcnfYro89eQy80TfRp0xJPt7jP9uWltd1Usx61YrlxuIYQQ4gY0inNspNC11c8ZWUbxGxcartlhiO3G1q1bh4MHD5qoto4dOxpBztDyfg27oGnFunhjylem//c7077FvB0rMaz7YyiaP8Dp4+J4z5B4GgNYhJmh50wNU+i5yGzojBRCZIrQcg6azopcCvaJ62Zh0I9DUfZaAbQvWAfP1O6L5zsNMm1MaJ13VTCzGAwLqPE45OUWQgghboXjIo3SHCcZfs4aKPQysy5LXDi2s1tRz549jRDm2By38nlp/+L48cG38GyHAWb8XrlvI/p+OwRzty93+bhYZI0pYSzOevz4cYWei0yHPN5CiHSHVmkOjLx1tWr5uSsX8dbUkdizfx96FGwEXw9vM+BWLlU+NofMFThZoJebFnO2RVFvUCGEEMK58HOmh9H7TfFNzze94nHHYXqgKb7tNo4Rb2bMdXPHPY27oVnFenh18mfYfmwvXpj4EbrVbmPC0X1z+zh9XHx/Hhv3ReFN4wA99EJkBjS7FEKkGxxo2QKEoWD0MNNq7oroXndgG/p/NwQRxy+iW6EGRnTTM92jRw/UrVvXZdHNViQcnCn+S5QoodA0IYQQwgUovAMDA83CMZjh54xoS6hPuGXXrl2YOHEiNm7cGOstLxtQAj8NGIFBze8wYnzqpgW4+/sh2HR4p0vHZKPo6I3nfIOGgfg88kKkN/J4CyHSBQ7EbEnCAmq0SHOwdpao6Cj8sPhP/Ll8OjoUqBPbJiwoKMi0CXNFvDt6uTk4M9eMkwFOCoQQQgjhGhxLaQRnvjfHeBrYuY7jfEIGcaaZ0Ri/Zs0aHDlyBK1btzaeaS8PTzx+W380qVAHr03+HEfOnsSgn1/FoBZ34KGWd8LT3cOlquc0sDOtjd5vet6T01ZUiNRCrh0hRJrDSqbMt6LV2dWq5ScvnMZ/xg7D94v/wNXoCPjlzgvv/7UJa9asmcui2+aj8Tjo5eZALNEthBBCpAwa1WnM5thKgUvvd0J51q1atTI9vjmGc34wadIk7Nu3L/b5emWCMP4/n6BLzVaIjonGD4v/wMCfXsahM8ddOibmfDOqjQYBer9tZXUhMgJ5vIUQaQat2RS5zOemx5uhX66Eci/evRZvTRmJsPDzyJPLGy93/Q8aFAsyVmxa1l09FuaU09tNsS3BLYQQQqQu1tNMAzuN7fR+0+tM8es4/nO7KlWqoFixYpg/f77pbjJv3jwcPnwYTZs2NcI9n7cv3u71FFpUqm8qnm89ugd3f/csXurykMn/dhaKe6a2sYAqW44x71tdS0RGII+3ECJNYGsuCm5amIkrojvieiQ+mjUa70/6Bl3y1UXL4rUx7qGPjOWbA6aropuin5Z3Dr60xPM9JLqFEEKItIHjrfV+M8KMRngK8LjYOi2sfk727NljBLsjHWs0x4RHPkVwmRoIj7yKYVO+NGHol685772myLbzEHrYOT/hPEWI9EQebyFEqsPBlYOaDel2JaeKYWQv//UJ8lx0Q3f/RnB3c0PLgJIo5V88WcfCsDKGlxcsWFD5XUIIIUQ6Qk83vd/0fDPc2xY0dTTE836DBg1MizLWgmGHkbgU9yuMb+4bhp+X/Y1vF47HtM2LsOXIbrx/x3OoUqyc08fDY6Hhnfvh3ICG+Pj6kAuRFsjjLYRIVTioMpTL9sR2RejO2roUD/34CipdC0CDfJWM6K5cuTK63d4tWW3C6OUmxYsXNwO5RLcQQgiRvlDo0vBN7zdFN+cJ7GwSF47VNWrUiH1MsT5z5kwznzDv4+5hiqx9/8BbKJY/wBjq7x/1IiasmWHSyZzFhLHny2eOg1F5LLYqRHog4S2ESBUodJmjxUGM95k/5Wxo+bXrEXh32nf4btqvuN2vPgJz+5swtTZt2pgCLK4KZtsmjHlmHOgZyqZcLiGEECLjYJoY247REM55AsfpxNp8LVmyxOR8s/DaoUOHYtfXLV0Nv//nY7Sq3ACRUdfx/owf8NyfH+BC+A2B7krLMRZ/Y+g5Rb4r4l2I5CDhLYRIMQzXYrsOhpezgqgrrcIOhR3DA6NewrxNy9DZvz683XMhICAAffr0QcWKFV06Dg6atIwzp5u5ZRzgXamgLoQQQoi0g4LX39//Ju93fLnfhFXPOR/g87NmzcLKlStj87L9fPLhk74v4bmOA+Hp7okFO1ehn+n5vcvlQnA8JrY3U963SGskvIUQKYKVwunlprWYA5gruVKzti1F/x+ew+6TB4Bc7ggoXQy1atVC9+7djcc8OQXUKPwpuBnW5koFdSGEEEKkn/eboeU0klPsxuf9ZrQa5wM2/HzLli2YOnVqbBoZhXP/Rrfj54EjTB2YE+dPY/DPr5g8cFe81zTQ83iY900BnlALNCFSimalQohkwUGNYpuim7laFMrOVgq3oeU/T58A9yigXukb/Tp7drgdjRo1crniOAuo0QDgaEUXQgghRNbK/Y7r/eY2TZo0Qfv27Y1hn17pv//+24hkS1BgBfz20IfoXKMFomKi8cW8XzBkwnu4ePVysvO+OacQIrWR8BZCuAyt06GhocYybPOknM2hZmj5wNEvIyzkGG4rUAv3lG6Lr+8dhsL5/FNcQI2Wc+aGCyGEECLreb8ZvRaf97ts2bLo3bu32YZdSrg4kjd3Hrzd62m8evujyOXhhUW71+CeH57DrhP7k5X3TfF9/vx55X2LVEXCWwjhErRGsxAJ+2wyl9uVHOrZ25bh0VHDUOt6IKrmKWnWNaxRD14erotlDowqoCaEEEJkL+83hTjHd9aPcYSiuFu3bsb7bVPJ6AhwDD3vXa89Rg94F4EFiuDI2ZN4cPRQTN4wz+W8b97SuUDPemIF4IRwBQlvIYTTsHCZY6swZ73LkVGR+HDmKIyaNg5d/erB3ysfcnvnRteuXVG3bl2XBLMtoEbhzf6btJKrgJoQQgiR9aFB39ZpYRobW305ep0puCnMLWvWrDFVz0NCQm4KPR/30EdoUSnYpLYNnzoSb/4zElcj4y/iFh/cB2vGMLSdEX70xAuRUiS8hRBJQmsvrb4MvaJ1maLb2cJlx8+fwuCfXsPRnQfQrmAdeLl7oljx4rijzx1mcE1OATXmedEqzmqnruaDCyGEECLzQqM+DeucI/A+x/34qo3bNqb0jC9YsACLFy+OFcj5ffLi034v4fE2/eHu5o4pG+dhwE8v4/CZE04fB+ca9H6fPXvWRPolVH1dCGeR8BZCJAoHMVp7ubD4CAugOOuhXhayHv2/fxbbj4WgeG5/s44e7q5durjUcoxYy3eBAgVUQE0IIYTIxnCeQSM/x3uO+xz/OQ9whA6ALl26oF69eubxrl27MHnyZCOUzfNu7hjU4g6MvOd1FMyT3+R7M+974a7VTh8Hjfs8Du6fzgfeCpFcJLyFEAnCQY5WXg5iFLoMu3KGqOgofLNwPJ4c9w7Oh19C5eLl0Ktrd3Tq1AnBwcEutfliiJkttFKsWDEULVrUGACEEEIIkb2h15njPsd/x/mAhfOJ+vXrGwHO8HDOVyi+HUPPG5Wvhd8f/hi1S1bBpWtXTMXzbxb8juiYaJeKrtGzbtunquiaSA4S3kKIeOHgxnxuttRwJZ/77OXzeOLXt7B1w2bUy1sed9TviNED3kHl0hVQqlSpZIWWM4ebIWesYqre3EIIIUTOgeO+Y7Qb5ydxe23zOVY95y3nDkuXLjWtRi1F8hfC9w+8hbsbdTWPf1jyJ54eP8LplmO26Bo94Cq6JpKLZrBCiATzuWnRdSWfe9PhnRj4w1AEXsyDOnnLoWG+yni8eT/k9szl8nHE7c3tami6EEIIIbIPNMKzoCrzv5lvzTmCo+eZ8wRG1jGlrUWLFjcVYSPsoPJ8x0EY3vNJMy9Zumcd7vvxBew7dcSlY+D7sujayZMnVXRNuISEtxAi3nxuhpU7K3Y58P2+ahre/P0ztPGpjmK5ChoPOVt+sM2Xq8Kf1myi3txCCCGEiNt2jFFwdAowKi5u6DlT2ipUqBC7jilzhw8fjn18e63WJhKvmF8ADp05jgdGvYgFO1c5fQxMd6P3myHn9H6r6JpwFglvIURsPje93MyP4oDCvCpnCI+4ilcmfYYFyxahU4F68HHPBf9C/ujTpw/Kli3r0jEwf4qim6Fk6s0thBBCiMQKr+XPnz/e0HMLveLz5s3DzJkzsW7dulgPebXiFfDb4A8RXKYGLkeE49k/3ncp79sWXeO+Key5HyGSQsJbCBGbz83wbg5izrboOhh2DPePehHRRy+hQb5KZjCsWrUqevboad7HFThoUfzTkq3e3EIIIYRIDEbm2cg4Cu9Lly7dUvSMToQyZcqY++vXrzcC3FZHL+jrh6/vG4b+jW6Pzft+Zvx7Tud907vOuQ493hTf9L4LkRgS3kLkYOLL53bWwzx/50rc+8Pz2HvqMM66XYabuztatWpl8qpc6a1tQ8u5X5u7pd7cQgghhHBG/NrQc4rsuD2/marGeQnnJ5xbHDlyBH///bdJqTPPu3vguY4DY/O+l+xZaxwK+08fccn7zjkUxfeZM2dU8VwkiBInhcjB+dynT582oeX0LjvbKux6dBS+nj8O41ZMRUTMddQtHYS3+wyBN7zM4ONqaLmtmh4QECAvtxBCCCFcxqbI0ZnA3Ou485rKlSubecacOXOMOJ86dSqaNGmCatWqGfHMvO/yAaXw3B/vm2i+B0a9hBF9hqBZxRs9wpOCNXHo+aag5/yKxgA5EURc5PEWIgfCwYEFQVztz33m8jk88ctw7Nm6E3cGNMM9wbfj2/veQOF8/i6LbgpuhrYrtFwIIYQQqdXzm6HnNOxfvnz5Ju8zu6T06tXL1J9htB3nQY4EBVbArw99gDqlqpl+30/9/i5+WznVaQ+2LUpL8c+K5zwGIRyR8BYih8EcKIaW89aV/txbj+7BwB9fRvGLeVDLtyzye+ZB90otTHsOV3AMLWdomELLhRBCCJHaoeec38Stek5x3q5dOxN+ziVuep2/bwF8d/8b6FGnrSm09vHsn/DWv18jMso5Ec190vt+/vx5VTwXqSO8x4wZg2nTpsU+fuGFF0xj+6ZNm+LgwYPJeUshRBpDiy093MxBohXWlf7ckzfMxdBfP0Dr3NUQmNsfHp4eplVYpUqVXDoGhl85Vi1nURJVLRdCCCFEakLx61j13NH7bAvBsi2YnR8tWrQoVsN4eXjh9W6P4dkOA+Du5o7JG+bhkV/exNnL512qeE6POx0dqnguUiS833333dim9CtWrMDIkSPxwQcfmNyJZ555JjlvKYRIQ1ho5NSpUyb0iQMCByRnBC8tvO/++x3+mvcvuhYMhq+HN/L7+aF3r94utwpjWDkHH4WWCyGEECKtoXe7WLFiJrKOlcwTEsB79uzB7t27MXv2bFP5nEKcc6R7GnfD53e/jLy582DDoe2498cXsOekcw5GOjYovlltnQ4Pin8hkiW82YS+YsWK5v7kyZNNv96HH34YI0aMwJIlS1L7GIUQKYBWXoY7MeeIuUfOCt5TF8/g4TGvY/fOXWjpVx0ebu4oV64cevfqZSJcnIUDmB1wVLVcCCGEEOkF5xvW4E8xzfmIY+g5qVChAoKCgsx99vpmATbbF5zF1X4e+B5K+RfH8fOnMOCnoVi4a3WyKp4z6lAVz3M2yRLe9JZxEk9oHWLIKeGEnl4tIUTmgP9Hhjkxx8mVfO6Nh3bgnh+ew6Yju3Ak+gxy+eRGo0aN0LZt29jQLGdDy7lvRsgw38rPz0+h5UIIIYRINzjvYMg5Q8/pgKD45vzEUZw3a9YMLVu2NJ5qhpzTscjq6KR84ZIYO+g9NChbE1ciruLZCe/jp6WTnBbR3CfnX4w6pH6KK/xFziFZ7cQotAcPHoy6deua0IwuXbqY9du2bXM5/FQIkTZwYLFtLZzNpeYgMnHdLHw/ZzzCIi+gYpHS+OiuFxGYv7DTot3CsC5ajAsWLGjSUFx9vRBCCCFEakEHIT3fFL/0PrMKuWNXlypVqpg5y9y5c01xNIrv2267DaVLl4afTz58dc9r+GjWaPy5dia+nP8rDp45hle6/sfkhDuzbwp8pv1xXqbov5xJsjzezOlm7zuePH/99ZcJ4bDhGXfffXdqH6MQwgUonjmo0NPN+/R0OyO6r12PwPB/vsbUhTNxR6Em6FOhFX4eOAKl/Yu7JJq5T1ZMZ145W3qwtYdEtxBCCCEyGs5HODdJqOUY1/fs2dPkhnMe4yjM2cVlaJeH8UKnwabo2j8b5+PxX9/C+XDn8rcZMcjishT9TAFUu7GcR7Jmw8zv/Oqrr25Z/+abb6bGMQkhkgkHidOnT+PMmTMmvJuFRZwh9EIYnp/wAfyv5EYLv+pmXbMStZEnl4/L+6fo5r5pzeUAI4QQQgiRWaAzgj29OUdiZCAjBJlGazu9MDS8a9eu5jk6Dyy26Fq/hl1QsmBRvPTXx1h7cCseHD0Un/d7GaULBTol/OkQYRoePd98fxWbzTkku483rTUfffQRBg0aZBbe52RfCJEx2MqZ/B9S8Dorujcd3oVBo15GhYhCCMpTyqxr2LAhWrVq5fL+KbqZx808KoluIYQQQmT2lmO8jZv3TRFOr7eFkYR///230T+keaX6GD3gXRTLH4CDYcfwwOiXsP7gdqf2y/dmCiBT8jhvU7uxnEOyhPfixYtNLvcXX3xhTkAuX375pal4zOeEEOkLL9oMLefA4UoRNfbnfnnch7jNpzqK5yoITy9PdOrUCbVr13apCBr3f+3aNePl5kDlSgE2IYQQQoiMgKHknLfQA27nMvHB9skU31OmTMH+/fvNuspFy2Ls4PdRPbAizodfwiO/vIF/Ny90ar+cY1HwM9yc4psecJH9SZbwfvzxx9G3b19z4k2aNMks+/btQ79+/cxzQoj0gxdrXrQ5WNCCakOlEiMy6jren/EDPpz2I7oWqI+8Hj7I75cfvXr2QqlSN7zezsDKnNw/98mq5Syi5sz+hRBCCCGyQt43YVcXFmbj8yy+tnbtWrNNQN6C+P6Bt9CuWhNcj76O1yd/ga8XjEN0TLTT4pvvw5xvRiyq3Vj2Jlkz5JCQEDz77LM3VePj/SFDhpjnhBDpV0SNotuVImpnL5/H478Ox4Q1MxAeHQGvIr5GbFN0u9KfmyFZNi+Kopv7F0IIIYTIqnnfnM9Q08Tt983aNeziVKNGDfN4w4YNRoBTiPt45cZ7dzyLAc16m+d+XDIRL0/61BStdQbmlDNSkDnlajeWvUmW8K5Xrx527Nhxy3quY4iqECJtYREzXqC5MEyKF21n2HViPwb8OBQ7DofAN5cPPu37Egb3vA8dOnRwOiecMC+JIVkcpBiipcIgQgghhMgued+sU0PxzfmWhRF97OrEGji8f+DAAfzzzz8IDw83Vc7/2/ZeDOv+ODzdPTF72zI8+ssbOHfFuYrnnMtR3LNjFBfH/YocWNV88+bNsfeffPJJPPXUU8a73bhxY7Nu5cqVps3Ye++9lzZHKoSILWLGizJDvDkwOJvPzUHg039H4bb8teBe2B3du3dDpeLlzHPO5nPTs84QLG5Pwc1Caq7kggshhBBCZGYoghlWzrnWuXPnbukSU7lyZTP/mTNnjnnOseVYjzptEehXBM/+8T42Ht6JB0e/hC/6v2paszrbbowh54wqZE9xkUOFd506dcwE2zH34IUXXrhlu/79+5v8byFE6kOrKr3c9DYztNuZfGrmGX23cAJmrV6IrgWCkdvdy3jIC/u4dkFn6BOtv2oVJoQQQojsDJ0abPVFMczwb3qgOf+x8Dn2++bzdi5m2401KFcTPw8cgf+OexuHzhw37cY+7TsUtUtVcandmPp852DhbSv4CSEyBopeim5aQVlEzRlP85WIcLz29xcIO3ISXQrWN6/hYNG+ffubBpCk4MWfYp/7peh2JSxdCCGEECKrQUFdqFAhI67p/WbLVDod7PyLYekWiu6lS5ea/HBGA5cvXApjBr2Hp8e/i+3H9uI/Y1/H272eQrugpk7tl+L7/PnzsU4XdYvJYcK7TJkyt6zbvn07Dh06ZEJfLTwZ49tWCJE8eDFnqBMv+vZi7AzHzoViyIQRKH41H5rlr2bWVa1aFU2bNr2pMGJS8IJP4c3Bh4srrxVCCCGEyKpQ1zCsnML35MmTxhMdX8Th6dOnsXPnTnOfczZWQWfF8x/uf8sUWlu0ew1emPgRnm53P+5r0iNJ54njfI8Vz/nYUeiLbC68HWHrsF69emHLli03hZ/bk0gFAYRIHRjezRAnLvQyO1vEbMOhHXjuj/dR3bMkgnxvtAejBZbVOF3J56Z1l2FPzHVy1ssuhBBCCJGdYIoeK57TCcIIxLg1dhgN2K5dOyxcuBBHjx7F5MmT0bFjR9Mt5qO7XsDHs3/C+NXT8dncsTh67iSe7zQYnu6JOzLsnIvzMXawYbszzcVyYFVzFlYrV66cCXvlibh161YsXrwYwcHB5oQTQqQchpTTukorKsPCnRXdkzfMxX/GDsPZKxdwMU8kfPPlNRf/mjVrOn2xpvGMVl3uk6JbRdSEEEIIkZNhETUWlmXRMxaadYz4JdRG3bt3N55pzqEovg8fPgwPdw8833EQnu0wAG5ww59rZ2HIhPdMOqAzUGsx2lC9vnOo8F6xYgWGDx+OgIAAE/rAk6F58+YYMWKEqXguhEgZvJjzAstwJV7AncntuR4dhQ9njcIn00fjevR1tA9qiq8ffBP97uqL0qVLu7RveroptmnddbZVmRBCCCFEdoZebnqe6eG+du2aaa/qCFPyWHSNAp1perNmzcK2bduM8+Kext3wwZ3PI7dnLizdsw4PjXkdpy+ddWq/dIRQ+Nt2Y+r1nYOEN71hNu+A4vvYsWPmPnO7d+3albpHKEQOgznV/E8xlIn/M2dyqi9evYwnx72DzVu2oH/hVni0fh+81+dZ+OTydqryueO+OZBwQOGgoWIeQgghhBC3Fl3jPIkCmM4KRy80oxS7dOmCKlWqmPWOtXnaVmuM7+8fjgJ58mPH8b2m4vn+00ec2i9TDukMYfohIyIZGSlygPBmnuimTZvM/UaNGuGDDz7AsmXLjBe8fPnyqX2MQuQo6Omm+GUejzOi2bSqGPUSPE5fQ0u/6vBwc0fV/KVdCg3nwEChTxhazgHFFcEuhBBCCJHTiq5xzkQveFzxTadJixYtTE0sx6hDblOzZGXTbqyUf3FTCHfA6Jex/uB2p/bLfTESkhGRnC/GDXcXmZtkzaxfffXV2BAHim22GuPJNX36dHzxxRepfYxCZHt4IT579ka4kbWOOiOc1x3YhsGjXkZQdHHU8i1r1jVo0MCkfjgL/8s2n5uh5SrcIYQQQgiRNCyyxrkTvdycSzmGgHMuxchgC5//559/jGgu7V8cPw94FzVLVMaFq5fw2K9vYs725U7tk6Ke80SKfRZdixvuLrKZ8Gahpt69e5v7FStWNOXzWQCKxdZuu+02l99v5MiRKFu2rJn404O+evXqBLdlnkSfPn3M9jyhP/vssxS/pxAZCS/S/P9wIc7mVE/eMA8v/P4B2vrWQmnvwuZCzIqaderUcVo4M/+Inm6bz+1Kb28hhBBCiJyOYyFazqkSCgFfvny50UpTpkwxlc8L+vrh2/vfRJsqDRERFYkXJ36EX1ZMcap4mm03RtHN9EQWexOZn1SLJfX390+Wl2zChAkYMmQIhg0bhvXr16N27dpG2PPEjI8rV66YcPb33nvP5FakxnsKkVHw4szzkqLb2arlUdFR+HTOGHw47Qf08G8If6+8RqyzkiYrajoLL9bM6WZYedGiRZXPLYQQQgiRDDiH4lyKeohaJb4Q8FatWpnCbHxuxowZxnHp45XbFFzr17CL2cbM72aNMnO9pKDuovjmXJKeb3rUReYmw5M4P/nkEzz00EMYMGAAgoKC8O233xoRMXr06Hi3Zxjthx9+iH79+pnqfqnxnkJkZOVyhpg7W7n88rVwPPvH+8YiGh4dgdz+viaMiRU0HcOZnOnPTU87jVcspOZMATchhBBCCBE/nEs5Vjync8MRRhV27doVFSpUMHOxJUuWYNWqVabFGNuNDWn/oNmO/b5fmPgRrkZec2q/nENShFN8q91Y5ub/O79nkPBYt24dhg4delPoBMNl2bIsvd6Tfw4uFmsxYhgul/TA7ie99icyFp5v9HTzoswLpu0W4Hgbl+PnTxnRvf/UEeT29MLrtz+OdtWaGAHNYhsJvc4RbsswKF78KdRpkFJVzMyDrgNC54AgOg+EzoGsi62Vw7Zf58+fN3ngNiqYty1btjTbbNiwAZs3bzY53/SG392wKwLyFsSwf77Egp2r8NjFM3iwahen5neseE7BbXO+VSQ3/XDlP5qhwpvhtTyZGJrhCB8z/CK93pP9x998881b1s+ePTvdexjPmTMnXfcnMh+2Y4Aj+88dxTfr/kJ9n/KoVagRKlasgIBrPti4cWOGHKNIW3QdEDoHBNF5IHQOZF/YhvnQoUNGu3DuZ9qUwRtPBffD1+snYsvRPXj/7Fg8ef0aCucpmNGHKxKAqQVZQnhnFugdZ064o8e7VKlS6NChg7FIpZe1hBfX9u3bK9c2m2JbdvECS8+z9XRbaDDihZc1CRxDv+fuWIGRc/9Em3w1USJ3IWMtbVot2BRDcxYb1VGgQAFjBVVoeeZE1wGhc0AQnQdC50D2inCkOGM+dlwvNJ/jfNDR0VcP9dCwTn08+fs7OHHhND5e8zs+7fsSqgdWdGqfjGRksTVqGEY36vxJW1zJrc9Q4c2TgQKATeAd4eOECqelxXsyVzy+fHGeqOl9smbEPkX6iG7m3VB0Myw8serhPH+58DU/LZuEMYsmoat/MAp65oWnlxfatW1rDEPOwos9hT4rbhYsWFCtwrIAug4InQOC6DwQOgeyNvztqDEosCnQGHbOeaCFczNHGMlIJ0nFsmXx04Pv4uGfX8PhCyfxyK9v4P0+z6JF5eAk98k5JPdLZw/nkoz6dbaAr3AdV/6fGRr8z3yE+vXrY968ebHrKBD4uEmTJpnmPYVICTz/mOfDhRdfZ1p2RUZFYvjUr/HHkn/Rp1ATI7p5se7erZvTott62Cm0eWFPbucBIYQQQgiRfGFG5x+dH/REx1fxnBw5cgRr1qwxkQ6MgCyUtwCea3QPGpevbQqtPTPhPfy1brZT+6RnnR5vtRvLXGR41j1DvH/44QeMGTMGO3bswKOPPmpODlYkJ/fff/9NhdJ4stIaxIX32QeP90NCQpx+TyHSC4b7MNoiLCzMhBHRMJQUF8Iv4fHf3sKGHZvRo1Aj+HjkNuHhPXr0MLfOwLB1WlZp4WRIOsObhBBCCCFExlY8pxjmEhfO16pVq2bur169GsuWLUNuj1z49K6X0L3ObYiOicY7077F1wvGOVW5nM4WhrE7thtTxfOMJcNzvPv27Ws8ga+//rpprVSnTh3MnDkztjgaiw445kPQalO3bt3Yxx999JFZWA1w4cKFTr2nEOkBDUMMLaLXmRc+Z/KqT10+i3fHvIKDYcdQ3McfubxyoUTxQLRt29bpUBbmhTG83M/Pz1zgFaImhBBCCJGxmOJphQqZUHOb9+2Y283nmzVrZkLN2Ylp9+7dxnFSq1YtDOv2OIrmD8APi//Aj0sm4sT503it26Pw8vBySnyziw7FN+eIioDMwcKbPPHEE2aJDyumLWXLlnXKWpPYewqR1tCSSU93QsU04mPT4Z14b8UYXIoMR7H8Afj07pdRJHcBEyrkbEsI7peCnxd2FVETQgghhMg8UPBSWHN+5uiccWw3VqNGDbNu/vz55vlp06ahU6dOeLR1PxTLXwjvTvsO/25eiFMXz+DDu15A3txJd2BimiPnh3RMMiqSNbHUbiz90TcuRCpDsW37KDormmdtXYonx72NZnmrokmxGhgz6D1ULlrWXJydvTAynYIXU+YR0dMt0S2EEEIIkfmgU4b1d5iCaIugxXU0dunSxXjHWZyX80rSq157fNpvKLy9cmPV/s0Y9PMrCL0Q5tQ+uS962Jn+SOcQQ9BF+iLhLUQqwounDeVxtGAmBC+0o5f+hbcnj0SXAsEo710MTfJURkEf59vY2SJqFNq8iFOsK4RICCGEECLzQhHMvG4Wz2X+NYvxOkInSqVKldC4cWNUrPj/rcSaV6qPHx94C/6+fthz8iAeGP0SQkIPOrVPCnnOT8+dO2fScdnuTKQfEt5CpAIUv7yIUXTzvjOi+3p0FN6e9i1+WzwFvQOaoLBXfnNBbNeu3U2tJpwposYQIl684/YGF0IIIYQQmRN2u2GkIiMk6USJ64Xm80FBQbGPmau9d+9eBAVWxJiB76FsoRI4eSEMA396BWv2b3Fqn3TU0ONunUWM1BTpg4S3EKnUo5uWQwpmx0IZCXH5Wjie/v1drNy6Dr0KNUZeDx9TDI2WTVo4nYFe9UuXLpnX0dOtHo1CCCGEEFm73Rjnd/FBUT5r1iyT+71u3ToEFiiCnwa+izqlquHStSumI870LYtcajdGj7eteC7SHglvIVKhRzcLZFD4OiN+mYszeMyrOHn0OLr5N0Budy9Tcf/22283lk1n4IWSVk8WUONrVblcCCGEECLrtxvj/C6+EHBuU6JECXN//fr1WLRoEfLmyoNv7huG9kFNcT36Ol79+3OTwuhsuzF6vrktxTedSGo3lrZIeAuRCj26mZ/jTI/u3ScPmFycXSf2o7JvCXi4uccW0HBWdDMkiNZQe4FWETUhhBBCiOzRbozzO9saNq5QbtCgAVq0aGHu79mzx7RLRlQMRvQZgvsadzfbfTX/N4yY/r1JaXQGRmpyDksnkq16LtIGCW8hkgEviBTdzOtmXrUzOdkr9m7EoJ9eMbk45QJK4tG7B5l+jezR7czrbRE1XmwZWq4+jEIIIYQQ2QfO6zi/Y+i5nePF9UJXrVoVHTt2NNGOx44dw9SpU3H50mU80+FBvNBpENzghonrZuHZCe8jPOKqU/ul88ex4nlC4e4iZUh4C+EiDP9hPjfzYRii44zHecrGeRjy+wiU9yyC+qWr46cB76KkfzFTMMOZdmEMaef+GMrOImrcrxBCCCGEyH4w/5qphIT1fOKK71KlSqFbt25GLJ89e9aEnZN+Dbviw7ueR27PXFiyZy0Gj3nN9Pt2BjqBOL88f/58bFtckbpIeAvhAsy74cWIxS+c6dHNC+W3C8djxNTv0KlAPTT3C8KDlTsjv09el0La6enm/ujpZgVzIYQQQgiRfbHFeul04TwwbrsxhqX36NHDOGRatmwZu/62qo3x/f3DUTBPfuw4vtekOO4NPeRS0TXOd+lN53xXpB4S3kI4CS8+FN0RERHGIphUmHdk1HUMn/o1flv6j6lcHpjb34QFlS1Txul9cl/crw07ciaPXAghhBBCZA/o+WZaI8V33Pxrru/atasRyxZGSNYsWRk/D3wPZQoF4sT50xjw08tYtW+zU/vj/JbvS8cPxTfTKlV0LXWQ8BbCCXgRo+jmBc+ZHt1XIsLxzPgRWLJ1lenR7e+Vz1guGRZkK1ImBUN8GNbOAmoqoiaEEEIIkfOg04XOlwIFCpiw87i9vh05ePAg/vjjD2zcuBElCxbFzwNHoG7pINNu7L/j3sI/G+e7JL4592R6JYuuxfW4C9eR8BYiEWjho6WPFx3C6uVJcfrSWZNTc+DwQfQq1AR5PbzNxZLhQAwLcgZeWCnyeaHla5zJAxdCCCGEENkP5l/T8805IaudMyIyPiiQOXdds2YNli9fjny5ffHNvcPQqUYLU+X8jX++wjcLxzvtwWaYO1McWXSNc2EVXUsZms0LkQC8KLGnIas78oJnc20S48Dpo3hw9FDsO3EInf3rI5e7pxHP3bt3N5ZDZ2AoEffHnB0/Pz9VLhdCCCGEyOHQCWOjIBkRGV/xs+DgYDRp0sTc3759O+bNmwd3uOHtXk9hUPM7zPofFv+B16d8gYjrzolopklyDsuiaww9V9G15CPhLUQ8MJzm9OnTxnLIFgu0+CXFpsM7MeCnoTh2LhRFCgSgYZPGqFChAjp37uxUj24bwmMrlzvjXRdCCCGEEDmv3RgjI+MrflajRg3TqpZC/cCBA5g+fToirkXg8dv647XbH4WHmzumbV6Ex38bjvPhF53aL0POmUdO0U3xTSeRcB0JbyHiwAsZBTeFN8NrnCloNn/nSjzyyxuIvBaJ6oEV8fPAd9GgZl3cdtttTvXotpXLCS+mzgh9IYQQQgiR88Q3IyLZ6YbimvPHuKHj5cuXR5cuXcwclpGb7PVNL3mveu3xRf9X4ZvLB+sObjNRmofOHHd6vywuzHky6x4xKlRF11xDwluIOAI4NDTUXEzocWZ4TVL8sWYGXvjjIzTxrYL+xVrhk94vwN+3gMuVywsWLGgeO7NPIYQQQgiRc2H4NyMkGVUZX7sxCnMW9eV81rEzTpMKdTB6wLsolj8AB8OO4YFRLxoR7ix2fsz5Mpe4ldZFwkh4C/E/WDCChSNYTI0Xs6Q81bTyjZw/Dh/NGIWOBeuiWp6SyAVPXDh73ul9MmSHC/N1AgICUuFTCCGEEEKInAAjMymwKYbjE98MS+/ZsyeaNWsWWzOI89dKRctg7OD3USOwEs6HX8Kjv7yJfzctcHq/FPusfURHFb3f9KaLpJHwFgIwFwyKbl60GEaTVOsuVoZkj+5flk3G7YUaoKx3EfOa9u3bm7xuZ2BVSlUuF0IIIYQQyYUimHNJhp9zHhu33RgFsp1jUpjPmTMHe/fuRUDegvj+geFoH9QU16Ov4/UpXxqHUnSMc23D6KDinJn7ZN53fPnm4mY00xc5Hnqcaa3jBYOFI5ISwOGR1/DshPcxd/NS9CrUGMVz+ZvwHRZRK1OmTJL7o6WRFylaHmmlZKsxVS4XQgghhBDJgaHfbDdGDzfnswm1G9u1a5fp9T1//nxs2bIF3l65MaLPEAxs3sc8P2rpRAz96xNcjXTOg805M+fOjBql+D579qzyvhNBwlvkaOh1tiEytNolJYDPXbmIR8YOw6Z929E7oAn8vfIZSyJzaCiik4KWxgsXLhjrJPNynG0xJoQQQgghREIw8tK2G7OpjHGpWrUqqlevbu6vXLkSq1atghvc8MRt9+DNHv+Fp7sn5mxfjofHvI7Tl846tV/OnTmf5f5ZyE153wkj4S1yLJcuXTKim1ZBXjCSEt1sEzbwp5ex5ehueHp5mpZhDOthj25aGJOCFyEbyk6RzrwcIYQQQgghUgN6oJm+yNBzhpzTweQI57rs892wYUPzePPmzVi8eLFxDHWr3Qbf3DsMfj55sfXYHtw/6kXsPnnA6X2zI4/yvhNHwlvkSCiAmdPNC40znu49Jw9iwE8v40DYURTNXwjfPTgcvbr3NJ5uvj4pePGj0GdYOS+GzvT1FkIIIYQQwhU4p+V8k04e3o/bbozrateujVatWpn7u3fvNnnfnKvWL1sdYwa+hzKFAnHi/GkMGP0yFu5a7fS+bd4357zK+74VCW+Ro+CF5/z588YSR1gFMinYYmHQz6/ALzI32hSpg58GjECFIqWNVc8Zr7VtF0aveJEiRZzq6y2EEEIIIURysRGWCbUbq1y5sikKzBBximTOj0npQoH4eeAINCxXC+GRVzFkwnsYtWSi07nb9Lpz3zbvW/2+/x8Jb5Fj4J+eRR/o6ab4pXBOClr5Hv91OMp5FEb7gnVQ1aM4oi/HX7AiPphfw1AbCm4uSVVLF0IIIYQQIjXgXNex3Vjc3GsWBe7SpQs6dOhgQtQtfj758GX/V9G3QWfzeOSCcXjl78+cLrpm874532beN5frcaqt50QkvEWOEd1hYWGm4AMrkDMPJSkmb5iH5/74AHV8yqK5X5BZx4IUzhRRI8yr4UXGVplU5XIhhBBCCJGe0OPNuSvrEjEEPK4AZgpkiRIlYh+fOnUK586dg5eHJ17s/BBe7vofeLp7YObWJRg85lWEXghzad8U/XR8HT16FOHh4cjJSHiLbA9Da3gROX36tBHcSeVXU6T/tHQShk8diWb5qqJ+vopmfXBwsClIkZSAVrswIYQQQgiRWaDn2TqC6BhKqN0YBfeMGTMwdepUM3cmd9TviK/vHYYCPvmw/dhe3PvjC9h6dI9L+2bLsatXr8aGtOfU0HMJb5GtYUgNLxz0djMfm97uxIiOicYns3/GyPm/oW2B2qjhe6Mvd7NmzVC3bl2nRTf3Q9HtTOE1IYQQQggh0hKmOzLtke3GmAYZn/eZzinOXSmS//33Xxw5csSsDy5bA2MHv4+KRUqbNmODf34VM7YsdnrfnD/n+9+cmHWWODfPiS3HJLxFtoV/aIaWs6gDw1y8vLwS3T4y6jpen/wlfls1FaVzF0Zln0BzobjtttsQFHQj1NyZHt3Mp2GPbmdyyIUQQgghhEgPOK+l15vh5XQWMfTcETqpunbtakLPGZI+a9Ys7N271zxXsmAxU2C4ZeVgRERFmpzvL+b+gqho5wW0j4+PWegQy4ktxyS8RbaEFwsWcmDIjC3ukBjhETeqNk7fsggebu4Y2KmvCS1nsYkKFSo43aOboTS2gqQQQgghhBCZTXwz35vzVc6P47YbY9Rmx44dUb58eeNUmj9/PrZu3Wqe883tg0/6voQBzXqbxz8v/xv/HfcOzodfdHr/Xl5esS3HmPcdd//ZGQlvke1g+wJWLmcOCf/YSVUS58Xi0V/fxPp9W5HfK4+5oNxeu40JLS9durTTPboLFixoLIhJedaFEEIIIYTISBgNyghNeqAZsenYboxzZ8eIzxUrViAkJMTcd3dzx3/b3osRvYfA2zMXVu7biHt/eAG7Tx5wet/u7u7GWcV9Mu+bHvCcEHou4S2yFSwWQdFN6xlFN//YicHKjMxT2XfsIHoHNMF/Kt6OxuVqu7Q/FqlgCwa1CxNCCCGEEFkFFh22Fc85d3aseE7PeNOmTVG/fn1TmK1s2bI3vbZjjeam33eJAkVx9NxJPDh6KGZtW+rS/vPkyWOiRJnznRNCzyW8RbaBf1b+ael9dkZ0HzpzHAN/fgVhZ86gT+GmyO+RB7ge43SrA9ujm0UquCS1PyGEEEIIITITjNSksKYTic4kR/FL8V2vXj2T923TNhkWbr3jlYuVwy+DP0Dj8rVNj++hf32Cz+aMxXUX8r5z5cp1U+g5ve/ZNfRcSkFkCyiCKbopmhm6kpQI3n1iPwb99AoiLl1F78JNkMc9t7H2devWzbw+KdSjWwghhBBCZAcYsUknEqM3bTRn3Oct69atw+zZs2O94wXy5MOX/V/Fg017mcdjV0zGf397C+euXExW6PnxbFz1XMJbZHl4cbDhKbSYJSWCNx7agcFjXkOuSDf0CmiM3G5eCAgIMKKbhdiSwlaAVI9uIYQQQgiRnSqec37L+/EVPeO6zZs34/Dhw5g+fXqsd9zD3QNPtrsP7/V5Ft5eubFq/2bc++Pz2HViv8uh597e3rFVz+lYy05IeIsszeXLl80fk9Y5iuakRPCykPV47Nc3USAmD7oXaghPNw9TEI0hNCwu4UyPbobaqEe3EEIIIYTIbjh26IlbdI1z3y5dupjwcHYPmjZt2k0pmh2qN8OYge+Z1mPHzoWavO+pmxa4tH+vOFXP47Y8y8pIeIssC/+ILKTGUBRnPN2zti7FM+NH4Or1CFQuWQ4+uX1M1fLOnTubC4gzPbp5EeLFiJUghRBCCCGEyG7Q82ydTHGLrtFhdfvtt8f24546depN4rhS0TL4dfAHaFaxHq5dj8CwKV/i7X+/MfddDT1npyLuP7sg4S2yJPwTUnRTEDsTHj5x7Sy8POlTU+yhU40WGHH3c+jRowfat2+fZI9v7oP74354EUrKMy6EEEIIIURWhs4mimy2y2WEKaNLLSzERvHNuTHb9/7zzz84d+5c7PP5ffLi87tfxiOt+sENbpi0fg4G/PQyjp496dIxZLfCxdnr04gcAf/gFN0kKc8zw8NHLZmId6d/hxp5SqN/jU54u9dT8PLwMsXUkvpD05tO0U2rGy8+vAgJIYQQQgiR3aFzigXXuDCf27HoGuscsT4SbynMWRDNEfb7frjVXfjqntdQwCcfdh7fh/4/PIclu9cipyLhLbIMFNG0plF0UzAzDCap7T+f+wtGLhiHenkroLlfEAqd98Kli87lijCshqEzvKCwejlzToQQQgghhMgpcM5ND3d8Rdfo8abnu02bNqhUqVK8r29SoQ5+e/gj1ChRCRevXsZT49/FV/N/Q5QLLceyCxLeIkvAP/jZs2dNIQcK4KTCvflnfnvat6alQeN8VdAoX2Wzvnbt2k4VRWNOCa13rO5IK19S4ehCCCGEEEJkVxj9GRgYeEvRNc7JK1asGLsdveJHjhy56bXF/Qpj1INvo2+Dzubx6KV/4fHf3sKZy/8fnp4TkPAWWUJ0nzlzBqGhoaYIGtsMJEZk1HW88vdn+Hv9HLTMXx1185Y36xs1aoR69eolWYSNOSys0Mh+hlwcexcKIYQQQgiRE6HIpvimCI9bdM3OoWfMmIGZM2ciJCTkpue8PLzwYueHMKL3EPh4eWP1/s3o//1z2HBoB3IKEt4i04tuVkxk3ggFd1I51lcjr+HZP97HnG3L0bZAbVT3LW3WN2/eHLVq1Upyf+wXyBwWerkZVpPdijoIIYQQQgiRXOgEY90jRoXSu+3Ya5sRolzP+fuCBQuwffv2W17fsUZz/DL4fZQNKIHQi2fw8JjXjAc8Oub/25ZlV6QqRKaFISwU3FxoYUuq5dela1fw33FvY+medaidtxwq+wQa7zbzTqpVq5bk/njxoOXOVnBMyjMuhBBCCCFEToPRoLboGgsRsyYSxTYdVq1bt0ZQUJDZbtmyZdiwYUNsTrilfOFSpuVYl5qtEBUTbXK+n/jt7Wwfei7hLTK16Ka3m0XUkipsdvbKBTzyyzCsO7gNeXPnweO9HkT58uXRtm3bm/JOEsL2H2ThCFY7l+gWQgghhBAifjhXpneboeecp9u8b65v2rQp6tata7Zbu3YtVq1adYv4zpPLB2/1fBKvd3sc3p65sHLfRvT77lmsPbAV2RUJb5HpoOWM+dzM62a7sKREd+iFMDw05jXsPn4ABfPkx3f3v4n65WoY0V2uXLlEX8uLAHNUGBpD0e1M4TUhhBBCCCHEjda+FN+cQ9u8b4rv4OBgNG7c2GyzZcsWrF+//pbXcrueddvil8EfGC/46Utn8cgvb+C7RROyZdVzCW+RKUU3K5jzj5xUNfEjZ09g0M+v4sjp4+hduAmG1OqLqsVuFFNLCopueroZwk7RnVRPcCGEEEIIIcTNsAYT59Jx875r1qyJli1bmrZjlSvf6DAUHxWKlMYvg95H9zq3mVxvCu/Hfh2OsGwWei7hLTINtJCxXRh7dfMPmpTo3nfqiBHdYRfO4o4izVDIIx/CTpyKDRtPDIbCMCSGBdt4oUiqPZkQQgghhBAi8bxv1kpyzPuuUqUK7rzzzpuiSuOGnROfXN54o/sTGN7zSVP1fM2BLRj4y6tYuW8TsgsS3iJTwL7ZFN3nz583ojupFl47j+/D4DGvml7bdxZpBj/3PEY8d+3aNclwcYpuhsJwPxTdSbUnE0IIIYQQQiQOQ8cLFChwS963ozNt//79mD59umk9Fh+312qNXx/6ABWLlDE1nD6eNTrbhJ1LeItMI7r556RoTkp0bzq8Cw+PfR2RVyNwZ9HmyOvmbcLEb7/9dtMCLDFogaPo5n5okUuqUroQQgghhBDCeTgvL1GiRGzeN+f6hLdLly7FsWPHjPh2bEXmSLmAkhg76D30qt0O7/V5Fh7uiWuDrIKEt8hQaO06ceJErBhOqm/2qn2b8divb8LtegzuKtoceZDLeK4pumlhSyqUnWEvrFpO0Z1U0TYhhBBCCCGE69gaSnSKUWCHh4ebuXfnzp1NTji7F/37778mJzw+vL1y45m295v87+yChLfIMK5du2ZEN8PFnRHdi3atwVO/v4PwyKtoUrIWfNxyIX/+/OjWrZu5TUp0cz/sz120aNEk88eFEEIIIYQQyYdRrIULFzYCnNDRxgJsdJixXTCLKU+dOtWp+kzZAQlvkaGim1YuZ0T3rG1L8fyfHyAiKhJtqjbC8HuGoEOHDuaPS493YjCshaKbf3QWfUgqlF0IIYQQQgiROnnfdJAFBgYasU3xbR1nnMMz1ZTim3WesjsS3iLdYbjJ8ePHTcgJRTf/kIkxecNcvPzXp8jv7oNuQa3w/h3PIZenF0qXLp1kCzCGsnM/tLZxSUrgCyGEEEIIIVIXHx+fm1qOMRSd4pspoPR47969G9mdTKFCRo4cibJly5rq0o0aNcLq1asT3f7PP/9E1apVzfbsD8fkfEcefPBBI+Ycl06dOqXxpxDOQBFM0U2PtzOi+/dV0zB86tco5JnPFFKrGlkEV6+EO7Uv7oMin4Kb+SUS3UIIIYQQQmQMnp6eJvqUaZ8seEzYkahevXoIDg5GdifDlciECRMwZMgQDBs2DOvXr0ft2rXRsWNHhIaGxrv98uXLcffdd2PQoEHYsGEDevbsaZatW7fetB2FNgWeXX7//fd0+kQiIWjd4m9BLzRDS5IS3aOWTMSHs0ahsJcf7ijaDO7RbsZa5kxRNApu7od/blrWktqXEEIIIYQQIm1xc3MzNZdY9Zxeb9ZhqlOnTuxcne3HwsLCkB3JcOH9ySef4KGHHsKAAQMQFBSEb7/91sT/jx49Ot7tP//8cyOqn3/+eVSrVg1vvfWWsZJ89dVXN23HanmsXG0X/sAi42CONUU3/1xJebpjYmLw5bxfMXLBOBT1KoA+RZrCLRrGOtalSxfz2yYl8Lkf/u4S3UIIIYQQQmQu8uTJY8Q3uxIx1JyRqhTdCxYswJQpU3DkyBFkNzK0tDM9kuvWrcPQoUNj1zEcuF27dlixYkW8r+F6esgdoYd88uTJN61buHCh8XZScN922214++23E+zxzB+ai4VJ/rYol+07l9Y49rfLjqKbEQwMKaGn24aWJCS6P57zEyasmYHiufzRM6AREA0jotu3b28KoyX2eu6LQpvh5fxDZ6XvMzufA8I5dA4InQOC6DwQOgdETjkH/P39zfz+zJkzZh5PTca5/qxZs9CkSROTXpyZvwNXji1Dhffp06fNF0tPpiN8vHPnznhfw0rY8W3P9RZ6xHv37o1y5cph7969ePnll03POIr2+CpajxgxAm+++eYt62fPnm3EW3oyZ84c5FSiY6Lx29aZWHpkE4p7FUSPQg2BGBixTiPKli1bnH6vhM6frEBOPgfEDXQOCJ0Dgug8EDoHRE47BwoVKmQ84KxyvmzZMiPIk4p2zUgS6kMeH9mymXG/fv1i77P4Wq1atVChQgXjBW/btu0t29Pj7uhFp8e7VKlSpl1VUv2hU9Nawj8WvbrO5DBnBfg9njp1ynigkzJgXI+6jjemjjSi293NDYPb9sX1g+eN6GbEQmJ9t+kl5x+U3xsFenobS1KL7HgOCNfQOSB0Dgii80DoHBA58RyIjIw0Qpu6bePGjabief369W9xumYmbKR0phfeAQEBxgN98uTJm9bzMUOL44PrXdmelC9f3uwrJCQkXuFNK0p8lhSe5Ol9omfEPlMbCmFaqRjRwM/CgmiJEXE9Ei///SkW7FoNT3cPvNP7GbQPaorwmuGm6EJifbet6OY+eA4kta+sQHY4B0TK0DkgdA4IovNA6BwQOekc8PLyMl2r6ETjnJ7FkqkDMvPnd+XYMrS4GkUVrRjz5s2LXcekej5mTH98cL3j9oTWoIS2J0zOZ3U89o4TaQuF8NmzZ40xxBnRHR55Dc9MGGFEd0WfQLzWYrAR3YSvTUp0X7x40RhN+NtmB9EthBBCCCFEToX1vpj3zcJrjDzOTkWSM7yqOUO8f/jhB4wZMwY7duzAo48+ahLrWeWc3H///TcVX3vqqacwc+ZMfPzxxyaP94033sDatWvxxBNPmOfp/WTF85UrV+LAgQNGpPfo0QMVK1Y0RdhE2kEhzPAQFlKjUYUWq8S4fC0c//3tLazYuxFVfEuifcE6OLH7EI4ePZrkvmigYWgHxTZFd1L7EkIIIYQQQmStqueFEiiOnRXJ8Bzvvn37mjzg119/3RRIYx83Cmsby3/o0CFj+bA0bdoU48aNw6uvvmqKplWqVMlUNK9Ro4Z5nh7SzZs3GyF/7tw5BAYGmlxtth3LzIn52UF0M6qA4eUUwRTeiXEh/BKe+O0tbD22B9XylkKb/DXNezCnI6nIBIpuerqZ/83zJKl9CSGEEEIIIbIWnonUeMqKZIpPQ2+19VjHhQXR4nLnnXeaJT7oAWX5eZF+UAhTcFN48/tPSgifuXwOj/06HLtPHkD1/GXQKm/1WNHdunXrmwwtCYlu9gKn6M7MOR9CCCGEEEIIkWmEt8i6UAgzYoEh5gwJSUoIn7p4Bv/5ZRgOnD6KWn7l0dy3qtOim63nmErAfA+K7uxmBRNCCCGEEEJkT6RcRLKhEKanm6Lb19c3SSF87FwoHvllGI6cPYmKfiVjRTfz71u1auWU6GZbAbYMk+gWQgghhBBCZBWkXkSyuH79uvF0M4/eGdF9KOwYHvnlDZy4cBolCxbFp/e+gmMhh4yYTkp0c18suFewYEEULlw40UrnQgghhBBCCJHZkPAWLkMhzHZhrCrOAmdJCeGQ0IN49Jc3EXb5HMoGlMC3976BIvkLITC4iHk+sTYBVnSzrQBFd2ICXQghhBBCCCEyIxLewiUiIyON6LYFzpISwjuO78Xjvw7HufCLaF60JtqVCIZ/Hj/zXFJ9+bivK1eumDYCAQEBEt1CCCGEEEKILImUjHCaa9eumZZvzoruTYd34j9jhxnR3ap4HdTyKIWTx09g+/btSe4rIiIC4eHhxsst0S2EEEIIIYTIysjjLZzi6tWrxtNNDzSriiflrV61bzOemTACVyOvoW3JYFSJLmIKqbHvuu25npjo5v4ouOntTmpfQgghhBBCCJGZkfAWSULPMz3dFMTOiO7Fu9fihT8/RERUJDqVbozy1/1jRXfLli0T9V7Tq8790NPNvG6JbiGEEEIIIURWR8JbJAo93BTdLHLGQmpJCeHZ25bh1b8/w/XoKHQv3xwlr+Y3orty5cpo0aJFoqKbXm7mdVN0s4K5RLcQQgghhBAiOyDhLRKEudyhoaGmhzZFd1JM2TgPb039BtEx0egS1ALlwwvhWsw1p0Q3vercT9GiRU2vboluIYQQQgghRHZBwlvcAj3UbBVG0U0B7IzoHr96Oj6Y+aO536tee7zc5WGcCTuDPXv2oEmTJokKaXrVuU8ruoUQQgghhBAiOyHhLW6CAvjs2bM4deoUvLy84O3tneRrflo6CV/O/9Xc79+gK57tNNAIbYaMc0kMim5C0c38cSGEEEIIIYTIbqhHk4glOjoaYWFhRnTnypUrSdFNkT5y/rhY0f1wnZ4ocsrLvN4ZLl++bAR6sWLFJLqFEEIIIYQQ2RYJb2FgfjUFMxcK7ty5cye6PfO4P5o1GqOWTjSPnwi+E56hEaYqeUhISJL7u3Tpksn5puh2JpRdCCGEEEIIIbIqCjUXpmI5Bfe5c+fg6+sLT8/ETwtWLH9r6teYummBeTyk0T24evis8YBXqVLF5HQnBLeh6GYYO0V3njx5Uv3zCCGEEEIIIURmQsI7h8P2XSdPnjQVzOl59vDwSHT7iOuRGDrpEyzYuQoebu54vtn9uLAvNFZ0s3p5QoXUrOhmGDtFt4+PTxp9KiGEEEIIIYTIPEh452DYN5uVy5lrnS9fvkTbfZHwiKt49o/3sXLfJnh5eOKVFgMRuvuIS6KbIewspCbRLYQQQgghhMgpKMc7h0IRfOzYMdM/m4XNkhLdF8Iv4dFf3zSi28fLG5/3ewW5rtwQ1FWrVk1SdNOjztxxebqFEEIIIYQQOQ15vHMYFMHnz5+PrTxOT3dShF06h8d+exN7Th5EPm9ffNn/VdQqWQXXy1THzp07Ub169QRFNyulU3Qzl5uiO6mibUIIIYQQQgiR3ZDwzkFQBJ8+fRpnzpxxql0YOX7+FB795Q0cOnMchXwL4L3bn0bNEpXNcyzCVqNGjUT3Z3PHGV7OfQohhBBCCCFETkPCOwcVUaOXm95uep9ZVTwpDpw+isd+fRMnLpxGcb/CeLXlYKxfvApR56+iQYMGCXq5HUU3PeoU3c7sTwghhBBCCCGyIxLeOayImjOVy8nWo3vw5O/v4NyVCygbUAIvNxuADavXmeciIiKS7AnOHHLmjhcpUkSiWwghhBBCCJGjkfDO5lAAU3TT400hnJiX2rI8ZAOe//NDhEdeRbXiFfBc43uxduVq81y1atXQrFmzBN+Hopue7gIFChjRnVRPcCGEEEIIIYTI7kgVZVMogM+dO4ewsDAjkp0pokamb1mEN6Z8hevRUWhcvjYerdsHK5evcEp0X79+3XjVCxYsaES3M551IYQQQgghhMjuSHhnw6rlV65cMUXUeMsCas5WEv91xT/4ZM7P5n6nGi1wb1BHLFuyzDwOCgpC06ZNkxTd/v7+CAgIkOgWQgghhBBCiP8h4Z2NYDj52bNnzWK93En15ybRMdH4Yu6vGLtisnncv9HtGNLhQYTsCXFKdHO/FPkU3YULF3Zqn0IIIYQQQgiRU5DwziZebuZVM6ychdScrVpOIqOuY/jUkZi2eZF5/GTb+/BA055GZFeuXBl+fn4mbDwh0c1Ca9xnoUKFjKdbolsIIYQQQgghbkbCO4tz7do105ebbcJYyMzZAmokPOIqXpj4EZaFrIeHmzte6/YYqvmWQnh4uBHvhK3AEsKKbgpuCm9n9yuEEEIIIYQQOQkJ7yxesfzkyZNGADvbJsxy+tJZDBn/HrYe2wNvz1x4/47nUOBabixcuNAUR+vevTty5cqV4OspuBliTm84t5foFkIIIYQQQoj4kfDOwlBw0+PN1l2usPP4PjwzYQROXgiDn09efNbvFbidvYaVq1aa58uUKZNoqDo94iymRm84Q9EluoUQQgghhBAiYSS8sziuit55O1bitcmf42rkNZQNKIHP+r2MM4dOYvWaNeb5evXqmSWh92URNeaUFytWzIhuIYQQQgghhBCJI+GdQ6BYHrVkIr5e+Lt53KRCHbzX51ns2b4L69atM+vq169vRHdCsF0YBTlFt7N9wYUQQgghhBAipyPhnQOgd3v41K8xc+sS8/juhl3xTIcHsWvHzljRHRwcjLp16yaaT84ccoaXM59cCCGEEEIIIYRzSHhnc05dPINnJ7xviqh5unvgxc4PoU/9DrG53Js3bzZ9umvXrp2gp5yimznf9HTbaudCCCGEEEIIIZxDwjsbs+P4XgyZ8F5sEbUP7ngewWVrxD5Pz3WfPn0SrF5u+4N7e3sbT7ePj086Hr0QQgghhBBCZA8kvLMh16OjMG7lVHy7cDyuXo9AuYCS+LTfUJTwK4J58+ahfPnyZiEJie7o6Gjj6abYpqc7d+7c6fwphBBCCCGEECJ7IOGdzdh+LARv//sNdp7Ybx43q1gP7/Z+Bt4euTBr1iwcPXoUR44cQWBgoPFkx0dUVJQR3Sygxj7difXzFkIIIYQQQgiROBLe2YQrEeH4ZsF4/L56GqJjopHfOy+e6fAAute+zfT7nj59OkJDQ+Hp6Yn27dsnKLrZn5vVy9kqjKKb2wshhBBCCCGESD5SVdmApXvW4d3p3+HE+dPmcecaLfBsxwHw9y1g+m7PmDEDZ86cMeHiHTt2NPna8REZGWm29/f3R0BAgKliLoQQQgghhBAiZUh4Z/GK5cNnfIMFu1ebx4EFimBol4dNeDlhYTR6ui9cuGBytbt06WJEdXzQK3716lUjuAsVKgR3d/d0/SxCCCGEEEIIkV2R8M6i/L78Xwz74zNcuHoJ7m7uuKdxNzzSqi98cv1/CPmePXuM6GauNkV3/vz5430vCm56uwsXLmyEuZubWzp+EiGEEEIIIYTI3kh4Z1H2HN9vRHelImXwRo8nUK14hVu2qVu3rmkJVrVqVfj6+sb7PgwtZwVzhp8zr1uiWwghhBBCCCFSFwnvLMpz3R5CgE8BtCxTF/4F/z98/NChQ6ZiOYuiUUTXr18/3tdTkLNyObcrXry48YoLIYQQQgghhEh9lMibRcmTyxv9GneFh7tHrJBev369aRm2cOFC8zgh6OFmCDqLrUl0CyGEEEIIIUTaIo93NoAtwJYsWYKQkBDzOKFcbsd2YerRLYQQQgghhBDpg4R3Foc52gsWLMCpU6dMaHnTpk0RFBSUYOXy8PBwtQsTQgghhBBCiHREwjsLc+LECcydO9dUJWfYeLt27Ux+d0ICPSoqyni5CxYsqHZhQgghhBBCCJFOSHhnURgyPmPGDCO6KaQ7dOgQb4h5fEXUVLlcCCGEEEIIIdIPuT2zKBTSFNslS5ZE9+7d4xXdcYuocRuJbiGEEEIIIYRIX+TxzsKUKFHC5HTHVyCNnvBr166piJoQQgghhBBCZDAS3tkMW7WcQtt6uZXPLYQQQgghhBAZh4R3NoG53KxYTuFdoEABU7mcIeZCCCGEEEIIITIWCe9sQGRkpKla7u3tbcLKVUBNCCGEEEIIITIPmSIGeeTIkShbtqwRjo0aNcLq1asT3f7PP/9E1apVzfY1a9bE9OnTb/H+vv766ybU2sfHx7TZ2rNnD7Ij9HAzn7tQoUKm0JoKqAkhhBBCCCFE5iLDhfeECRMwZMgQDBs2DOvXr0ft2rXRsWNHhIaGxrv98uXLcffdd2PQoEHYsGEDevbsaZatW7fGbvPBBx/giy++wLfffotVq1bB19fXvCcFanaCudsMK6fgLly4MLy8vDL6kIQQQgghhBBCZDbh/cknn+Chhx7CgAEDEBQUZMRynjx5MHr06Hi3//zzz9GpUyc8//zzqFatGt566y3Uq1cPX331Vay3+7PPPsOrr76KHj16oFatWhg7diyOHTuGyZMnIztB7zYrm9OwIC+3EEIIIYQQQmROMjTHOyIiAuvWrcPQoUNv8uIyNHzFihXxvobr6SF3hN5sK6r379+PEydOmPew+Pn5mRB2vrZfv363vCfbbnGxsPe1zZ3mkh7Y/SRnf1FRUWlwRCK9Sck5ILIHOgeEzgFBdB4InQNC50DWwJXfJ0OF9+nTp41oLFq06E3r+Xjnzp3xvoaiOr7tud4+b9cltE1cRowYgTfffPOW9bNnzzbe9/Rkzpw56bo/kfnQOSB0DgidA4LoPBA6B4TOgcwNC1w7i6qaA8bj7uhFp8e7VKlS6NChgwnnTi9rCf9Y7du3V652DkXngNA5IHQOCKLzQOgcEDoHsgY2UjrTC++AgAB4eHjg5MmTN63n42LFisX7Gq5PbHt7y3Wsau64TZ06deJ9T/a7jq/nNU/y9D7RM2KfInOhc0DoHBA6BwTReSB0DgidA5kbV36bDC2ulitXLtSvXx/z5s2LXRcdHW0eN2nSJN7XcL3j9oTWILt9uXLljPh23IaWCFY3T+g9hRBCCCGEEEKItCLDQ80Z4v3AAw8gODgYDRs2NBXJL1++bKqck/vvv99U7mYeNnnqqafQqlUrfPzxx+jatSvGjx+PtWvX4vvvvzfPs7r3008/jbfffhuVKlUyQvy1115DYGCgaTsmhBBCCCGEEELkKOHdt29fnDp1Cq+//ropfsZw8JkzZ8YWRzt06JCpdG5p2rQpxo0bZ9qFvfzyy0Zcs6J5jRo1Yrd54YUXjHh/+OGHce7cOTRv3ty8p7e3d4Z8RiGEEEIIIYQQOZcMF97kiSeeMEt8LFy48JZ1d955p1kSgl7v4cOHm0UIIYQQQgghhMhIMjTHWwghhBBCCCGEyO5IeAshhBBCCCGEEGmIhLcQQgghhBBCCJHdc7wzGzExMS43RE8pkZGRuHLlitmnevXlTHQOCJ0DQueAIDoPhM4BoXMga2D1otWPiSHhHQ8XL140t6VKlcroQxFCCCGEEEIIkcn1o5+fX6LbuMU4I89zGNHR/8feWcA3dbVh/MVdWwotUihFW6DQ4u42hm7INmzKYO6u39wZGzMmMGzogOHuhRb34lagQNHi/X7Py052G1pooWns+fM7JLm5TU5yT+49z3ntmhw6dEjy5cunGdIzarUEQn///v2SP3/+DHlP4lpwDBCOAcIxQADHAeEYIBwD7gGkNER3QEBAkhLYyUGLdzLgSytRooRT3hs/LP64vBuOAcIxQDgGCOA4IBwDhGPA9bmVpdvA5GqEEEIIIYQQQogDofAmhBBCCCGEEEIcCIW3i5AjRw5566239JZ4JxwDhGOAcAwQwHFAOAYIx4DnweRqhBBCCCGEEEKIA6HFmxBCCCGEEEIIcSAU3oQQQgghhBBCiAOh8CaEEEIIIYQQQhwIhTchhBBCCCGEEOJAKLxdgCFDhkjp0qUlZ86cUrt2bYmMjHR2l4gDWbRokXTo0EECAgIkU6ZMMmnSpCTPI9/hm2++Kf7+/pIrVy5p0aKF7Nixw2n9JenLhx9+KDVr1pR8+fKJn5+fdOrUSbZt25ZknwsXLsjAgQPFx8dH8ubNK127dpUjR444rc8k/fn++++latWqkj9/fm1169aV6dOn257nGPAuPvroI70ePP3007ZtHAOez9tvv63H3doqVqxoe55jwDs4ePCg3H///XqcMe+rUqWKrF692vY854WeA4W3kxkzZow8++yzWi4gOjpaqlWrJq1bt5ajR486u2vEQZw7d06PMxZckuOTTz6Rb775RoYOHSorV66UPHny6JjABZi4PwsXLtSJ1IoVK2T27Nly+fJladWqlY4LwzPPPCNTpkyRv/76S/c/dOiQdOnSxan9JulLiRIlVGxFRUXpBKtZs2bSsWNH2bRpkz7PMeA9rFq1Sn744QddiLHCMeAdhISEyOHDh21tyZIltuc4BjyfkydPSv369SVbtmy6+Lp582b5/PPPpVChQrZ9OC/0IFBOjDiPWrVqJQ4cOND2+OrVq4kBAQGJH374oVP7RTIG/AQnTpxoe3zt2rXEYsWKJX766ae2bfHx8Yk5cuRIHDVqlJN6SRzJ0aNHdRwsXLjQdryzZcuW+Ndff9n22bJli+6zfPlyJ/aUOJpChQol/vzzzxwDXsSZM2cSy5Urlzh79uzExo0bJz711FO6nWPAO3jrrbcSq1WrluxzHAPewUsvvZTYoEGDFJ/nvNCzoMXbiVy6dEmtHXAZMWTOnFkfL1++3Kl9I85h9+7dEhsbm2RMFChQQEMQOCY8k1OnTult4cKF9RbnBFjBrWMAroelSpXiGPBQrl69KqNHj1avB7iccwx4D/B+ad++fZJjDTgGvAe4DCP0LCgoSO677z7Zt2+fbucY8A7+/vtviYiIkHvuuUfDz6pXry4//fST7XnOCz0LCm8nEhcXpxOuokWLJtmOx/iREe/DHHeOCe/g2rVrGtMJN7PQ0FDdhuOcPXt2KViwYJJ9OQY8jw0bNmjcZo4cOeSxxx6TiRMnSuXKlTkGvAQstiDEDHkf7OEY8A4gnn777TeZMWOG5n2AyGrYsKGcOXOGY8BL2LVrlx77cuXKycyZM2XAgAHy5JNPyu+//67Pc17oWWR1dgcIIcSbrV0bN25MEtNHvIcKFSrI2rVr1eth3Lhx0qdPH43jJJ7P/v375amnntI8D0isSryTtm3b2u4jxh9CPDAwUMaOHatJtIh3LMDD4v3BBx/oY1i8MS9APDeuCcSzoMXbifj6+kqWLFluyFCJx8WKFXNav4jzMMedY8LzGTRokEydOlXmz5+vibYMOM4IQ4mPj0+yP8eA5wFrVnBwsISHh6vVE0kXv/76a44BLwBuxEiiWqNGDcmaNas2LLoggRLuw5rFMeB9wLpdvnx5iYmJ4XnAS0Cmcng6WalUqZIt5IDzQs+CwtvJky5MuObOnZtk5QuPEedHvI8yZcroidQ6Jk6fPq1ZLDkmPAPk1IPohlvxvHnz9JhbwTkB2U2tYwDlxnAR5hjwbHD+v3jxIseAF9C8eXMNNYDHg2mweiHG19znGPA+zp49Kzt37lQxxvOAd4BQM/uSotu3b1fPB8B5oWdBV3Mng1JicCXBRbZWrVry1VdfaYKdfv36ObtrxIEXVqxmGxDThYkWkmshaQpift9//32N98EJ94033tDEK6j3TDzDvXzkyJEyefJkreVtYrSQLAWuhbh98MEH9dyAMYEaz0888YReYOvUqePs7pN04pVXXlE3U/zmEc+JMbFgwQKN8eMY8Hzw2zd5HQwoEYQ6vmY7x4Dn8/zzz0uHDh1UZKFUGErLwhOyZ8+ePA94CSgZV69ePXU1v/feeyUyMlJ+/PFHbQC13Tkv9CCcnVadJCYOHjw4sVSpUonZs2fX8mIrVqxwdpeIA5k/f76WA7Fvffr0sZWOeOONNxKLFi2q5SKaN2+euG3bNmd3m6QTyR17tF9//dW2T0JCQuLjjz+u5aVy586d2Llz58TDhw87td8kfenfv39iYGCgnveLFCmiv/NZs2bZnucY8D6s5cQAx4Dn071790R/f389DxQvXlwfx8TE2J7nGPAOpkyZkhgaGqpzvooVKyb++OOPSZ7nvNBzyIT/nC3+CSGEEEIIIYQQT4Ux3oQQQgghhBBCiAOh8CaEEEIIIYQQQhwIhTchhBBCCCGEEOJAKLwJIYQQQgghhBAHQuFNCCGEEEIIIYQ4EApvQgghhBBCCCHEgVB4E0IIIYQQQgghDoTCmxBCCCGEEEIIcSAU3oQQQogHkZiYKI888ogULlxYMmXKJGvXrk1x3wceeEA++OADcRYzZsyQsLAwuXbtmtP6QAghhGQEFN6EEEKIBwEx+9tvv8nUqVPl8OHDEhoamux+69atk3/++UeefPLJJNtjYmKkf//+UqpUKcmRI4cUL15cmjdvLn/++adcuXLFth9E/aRJk2543b59+0qnTp1S1dc2bdpItmzZ9LUJIYQQT4bCmxBCCPEgdu7cKf7+/lKvXj0pVqyYZM2aNdn9Bg8eLPfcc4/kzZvXti0yMlJq1KghW7ZskSFDhsjGjRtlwYIF8tBDD8n3338vmzZtSvf+Qqh/88036f66hBBCiCuR/NWYEEIIIW4HROzvv/9us0gHBgbKnj17btjv6tWrMm7cuCSWZrio4+/Lly8vS5culcyZ/1ubL1eunPTs2VP3SQt47zJlytywvXHjxiroQYcOHWTQoEG6YFC2bNk0vT4hhBDiLlB4E0IIIR7C119/reL1xx9/lFWrVkmWLFmS3W/9+vVy6tQpiYiIsG1DLDgs3aNGjUoiuq1AzKeFkiVLqru7ITY2Vlq0aCGNGjWybYNLe9GiRWXx4sUU3oQQQjwWCm9CCCHEQyhQoIDky5dPBTfczFNi7969uo+fn59t2/bt2/W2QoUKtm1Hjx6VoKAg2+NPPvlEHn/8cdtjWMHtxf3Fixelffv2et/ajwsXLmjsd926deXtt99O8jcBAQHaJ0IIIcRTofAmhBBCvIyEhARNnHYrC7aPj48tK3qTJk3k0qVLSZ7/8ssv1YJt5aWXXlJXdnuQsO3MmTMye/bsGyzquXLlkvPnz9/BJyKEEEJcGwpvQgghxMvw9fVVoQshnT17dlscN9i2bZtUr17dZrEODg7W+8klaYM12zxvgMU9Pj4+ybb3339fZs6cqcnb8Lw9J06ckCJFiqTjJySEEEJcC2Y1J4QQQrwM1M4Gmzdvtm2D2K5YsaJ89tln6VpXe/z48fLuu+/K2LFjk43hhgs6EqsZsU8IIYR4IhTehBBCiJcB6zLKhi1ZssS2DW7nv/76q1q869evL3///bfs2LFDxfnQoUPl2LFjKSZrSwmUI+vdu7e6n4eEhGhyNTRYuA0rVqxQt3fEfhNCCCGeCoU3IYQQ4oWgNre1nBioU6eOREVFaYK1gQMHSuXKlbUeODKdI557wIABaXqP1atXq0s7XM1RW9y0Ll262PbBa993332SO3fudPtshBBCiKuRKTGtRTkJIYQQ4hEJ1iCwx4wZ4zRrc1xcnPYBAj25et+EEEKIp0CLNyGEEOKFIJP4H3/8oeLXWezZs0e+++47im5CCCEeDy3ehBBCCCGEEEKIA6HFmxBCCCGEEEIIcSAU3oQQQgghhBBCiAOh8CaEEEIIIYQQQhwIhTchhBBCCCGEEOJAKLwJIYQQQgghhBAHQuFNCCGEEEIIIYQ4EApvQgghhBBCCCHEgVB4E0IIIYQQQgghDoTCmxBCCCGEEEIIcSAU3oQQQgghhBBCiAOh8CaEEEIIIYQQQhwIhTchhBBCCCGEEOJAKLwJIYQQQgghhBAHQuFNCCGEEEIIIYQ4EApvQgghJJ3p27evlC5dOsPfd8+ePZIpUyb57bffMvy9PZUFCxbod4rbjKBJkybaCCGEeBYU3oQQQlwOCEeIndWrV4urcujQIXn77bdl7dq1zu4KyWBGjhwpX331lbO7QQghxI3I6uwOEEIIIe4IhPc777yjlu2wsLAkz/30009y7do1p/WNpB+NGjWShIQEyZ49exLhvXHjRnn66aed2jdCCCHuA4U3IYQQkgauXLlyS1GdLVu2DOsPcSyZM2eWnDlzOrsbhBBC3By6mhNCCHGbuOm8efPKwYMHpVOnTnq/SJEi8vzzz8vVq1eT7Dt69GgJDw+XfPnySf78+aVKlSry9ddfJ9knPj5eLZYlS5aUHDlySHBwsHz88cdJRLWJmf7ss8/Utbhs2bK673fffSc1a9bUffr166f7WGOrk4vxPnfunDz33HO296tQoYK+bmJiYpL98DqDBg2SSZMmSWhoqO4bEhIiM2bMuO3vbt68edKwYUPJkyePFCxYUDp27ChbtmxJss+ZM2f0+0C/8Z5+fn7SsmVLiY6Otu2zY8cO6dq1qxQrVkzFaIkSJaRHjx5y6tSpm74/YpbxWdavXy+NGzeW3Llz6/c9btw4fX7hwoVSu3ZtyZUrl34vc+bMSfL3e/fulccff1yfwz4+Pj5yzz336PGxx7wH9kP/3n//ffn111/1e7Xuj8951113yZIlS6RWrVr6eYKCguSPP/64aYw3Psu0adO0T+a4m2NtQiTs+5VSnPiPP/6oYwp9RR8WL16c7Pd38eJFeeutt/Q7w7HBGHrxxRd1OyGEEPeAFm9CCCFuAwR269atVaRBtEKgff755ypeBgwYoPvMnj1bevbsKc2bN1chDSAyly5dKk899ZQ+Pn/+vIoziPhHH31USpUqJcuWLZNXXnlFDh8+fEP8LoTbhQsX5JFHHlHh07lzZxWqb775pm6DqAX16tVLtt8Q13fffbfMnz9fHnzwQXVNnzlzprzwwgvahy+//DLJ/hCDEyZMULGJxYNvvvlGBe++fftUdKYFfEdt27ZVUYmYdLhNDx48WOrXr6+i2ojGxx57TIUwRH/lypXl+PHj2g98dzVq1JBLly7pdw+x98QTT6j4Rt+nTp2qixgFChS4aT9OnjypQhdCHaL5+++/1/t//vmnCn68f69eveTTTz+Vbt26yf79+/Wzg1WrVunxwf4Q0xC2+HuI4M2bN6uQB+hP06ZNVeTiWGKh4eeff9ZjlhwxMTH6Xjgmffr0kWHDhumiCRZtsNiRHK+99pouNBw4cMB23LAIlFZ++eUXHXsYM/j8u3bt0jFSuHBhFdYGLARhO44FxlqlSpVkw4YN+t7bt2/XBRpCCCFuQCIhhBDiYvz6668wAyeuWrXKtq1Pnz667d13302yb/Xq1RPDw8Ntj5966qnE/PnzJ165ciXF13/vvfcS8+TJk7h9+/Yk219++eXELFmyJO7bt08f7969W98Tr3f06NEk+6JveA59tQd9DQwMtD2eNGmS7vv+++8n2a9bt26JmTJlSoyJibFtw37Zs2dPsm3dunW6ffDgwSl+Jmt/rX0KCwtL9PPzSzx+/HiS18ucOXNi7969bdsKFCiQOHDgwBRfe82aNfraf/31V2Jaady4sf7tyJEjbdu2bt2q29CPFStW2LbPnDnzhs9w/vz5G15z+fLlut8ff/xh2/bEE0/o94m+GvC5CxcurPvi+zHg+GDbokWLbNtwjHPkyJH43HPP2bbNnz9f98OtoX379kmOr/24tb5Pcq9x6dIlPSY4NhcvXrTt9+OPP+p++L4Mw4cP1+9o8eLFSV5z6NChuu/SpUtv6AchhBDXg67mhBBC3ApYRq3A2gxroQGu1HDrhuU7Jf766y/9u0KFCklcXJyttWjRQq3qixYtSrI/rM1wa79d/vnnH8mSJYs8+eSTSbbD9Rxae/r06Um2ox+w4huqVq2qLvPWz5kaYL1H1nVYcWFJtb4e3MjRL+v3tnLlSk0alxzGog1LPTwG0gqswrBYG+A2jveEBRceDAZz3/pZ4YptuHz5slrj4XaNv7e6wsMdv27dukmS3eFz33fffcn2CZZ9460AcIzRr7R+z2kF2fqPHj2qY9matA3Hyd5zAGMV31HFihWTjNVmzZrp8/CiIIQQ4vpQeBNCCHEbEIdrL4AhnuHGbIB7dvny5dW9Gm7J/fv3vyE+GrHK2IbXsjYIXgBRZKVMmTJ31G/EAwcEBNhcpw0QVOZ5K3B9t8f+c6b2fQHEpD14bwg4LFKATz75RDN1w80Z8cZwS7cKUHwHzz77rLpu+/r6qtv5kCFDbhnfbcCxgAu4FYhMq1u12QasnxXu8XDrN/HxeH8cL7i4W98fnxeC3J7ktqXn95xWzHEpV67cDUn5EBJgP1Y3bdp0w1jFGE9urBJCCHFNGONNCCHEbYDV+FYgKRisvLDMwpKMhhjt3r17y++//26Lm4XFFwmqksOImuQsrs78nPaJ2NKTe++9V62/EydOlFmzZmmsNWLkEWuORQyAeHpYZSdPnqz7wIL/4YcfyooVK1RY385nSs1nRUw5jiFioWHRhjiHiIcF/U7KtqX392y/sGCwT/6XFvD5kBzwiy++SPZ5+4ULQgghrgmFNyGEEI8D7rsdOnTQBuECK/gPP/wgb7zxhlo/4cZ99uxZm4U7PUVWcgQGBmqSMyRks1q9t27danveEZjX3bZt2w3P4b1hOUYCMoO/v79+V2iwpCKp2v/+9z+b8AYQgWivv/66JjxDkrahQ4dq9nBHgaRvSH4G4W9AsjtYvO0/LxKm2ZPctjshpWMPazmw75e9R4M5LrBmG5dx40a/e/duqVatmm0bxuq6des0WWBaxhwhhBDXgq7mhBBCPArE/9rXYUZMMzDll2DdXb58uVrF7YFoQq3uW2EEq73ISo527dqp1fPbb79Nsh2ZqSGmrMI2PYGQRrwzLP3WfsKlHBZr9Augb/Yu4/AcgHu8+c5Onz59w/cCAY7v19FlrWCZtrdCIzO7vSUZ7u84rvB4MJw4cUIzp6cnOPbJudibuHxrjgD0EWXDrERERKi7OBYskC3egHJk9uMJYxXZ2n/66acb3g8u+CZUgBBCiGtDizchhBCP4qGHHlKxBUsi3J9hbYRIgwA1MdUo4/X3339reStTPgoCBmWaYF1FuSpYg28GRBaSe0E8wYoNMYbEYMnFg8PyjjJXKEWF14ZFE8IXLttwn7YmUktv4DIOYQ8XbZTNMuXE4K6NOG4ASzy+K5TWQt+QCA0WepTxMlZm1AJHqTGUAoMrPkT48OHDVRQj+ZwjwXHCe6HPSIgGcY3+2ZdWQ+jAiBEjNIwA7ummnBhiuTEm0stijPEyZswYjXlHPXd8XzjGKEFWp04dLWWG90NiN9SUt1+wQCw3PARQTgzjtHv37mrphju9fYz3Aw88IGPHjtVEbEikBg8DiHl4LGA7Fo8g5AkhhLg2FN6EEEI8ivvvv18tjN99951aD1FvGsIGIhPWWYC6zwsXLpQPPvhAs0b/8ccfmjUcgvKdd965ZU1qI55gSYbIgiiCuIJwSk54430h9JEgDIIN+6F+NkQxMps7ErjTI5HcW2+9pe+PfqOGOeK3TV/xfcC9HIsBiOmGez5c8vEdmvroEOSwKE+ZMkUtsPgbbEMMPcSmI/n6669V4MNyDRdziE8Ib/THPt4Z4hSx5zi2sCoPHDhQBTi2ITlfeoDvClZ1HEd4LcB1HMIboI8Q1B999JEuzGCxA4suWAywgprcENAYA1gIgvcAxgjCIezHDmp1430wThGDj+8eAh116e3zERBCCHFNMqGmmLM7QQghhBDiKOBVgBh/xPWnJkEfIYQQkt4wxpsQQgghHgNc6e1j/uGm3qBBA4puQgghToOu5oQQQgjxGBDL3qRJE43nP3LkiPzyyy+aGM7ehZsQQgjJSCi8CSGEEOIxIFM7EuQhzh/J1FASDeK7UaNGzu4aIYQQL4Yx3oQQQgghhBBCiANhjDchhBBCCCGEEOJAKLwJIYQQQgghhBAHQuFNCCGEEEIIIYQ4ECZXS4Zr167JoUOHJF++fJqYhRBCCCGEEEIIsYJ0aWfOnJGAgADJnPnmNm0K72SA6C5ZsqSzu0EIIYQQQgghxMXZv3+/lChR4qb7UHgnAyzd5gvMnz9/hrzn5cuXZdasWdKqVSvJli1bhrwncS04BgjHAOEYIIDjgHAMEI4B9+D06dNqsDX68WZQeCeDcS+H6M5I4Z07d259P/64vBOOAcIxQDgGCOA4IBwDhGPAvUhNeDKTqxFCCCGEEEIIIQ6EwpsQQgghhBBCCHEgFN6EEEIIIYQQQogDYYw3IYQQQgghxKVK+166dEm8PcY7a9ascuHCBbl69aqzu+O1ZMuWTbJkyZIur0XhTQghhBBCCHEJILh3796t4tvb60MXK1ZMqyylJnEXcRwFCxbUY3Gnx4HCmxBCCCGEEOISYvPw4cNqYUSJpsyZvTcqFgsPZ8+elbx583r19+Ds8Xj+/Hk5evSoPvb397+j16PwJoQQQgghhDidK1euqNAJCAjQUlrejHG3z5kzJ4W3E8mVK5feQnz7+fndkds5jyIhhBBCCCHE6ZhY5uzZszu7K4TYMItAiLu/Eyi8CSGEEEIIIS4DY5qJJ45HCm9CCCGEEEII8SD27NmjgnHt2rXO7gr5FwpvctPYEsTaoMH1B4+RZIAQQgghhBBynb59+6rIRUP5qTJlysiLL76opcCsmH2srUGDBk7rN8lYmFzNi4GIvnjxoopqI6whshG/YAS3tZQDEjuYkwQSC+AxbtFwkkGtQdw3t3QTIoQQQggh3kCbNm3k119/1Xl0VFSU9OnTR+fCH3/8cZL9sA/2NbhzPDuSv7lz/zMaWry9uDwByjWgNuC+ffvk0KFD+jguLk7OnDmjghzC3Cqkzd9CkGMF79y5c3Lq1Cn9G/y9ea29e/dqwzY8h30SEhL07wghhBBCCPE0cuTIobWeUQatU6dO0qJFC5k9e3aKNaFNK1y4cIqvOXnyZKlWrZpm1vbx8dHXxPzbzMnfffddKVGihL53WFiYzJgxI9nXwb7Y7/vvv0+yfc2aNWpIw7wdxMfHy0MPPSRFihSR/PnzS7NmzWTdunW2/d9++219n59//lmt+si4TlIPLd5eBKzaRizjFqtw+CHnyZMnXd/DNIh7iHf82PGjhoDHqhgyA+IWDZZylkgghBBCCCHJ1lG+lNRdO6PInT3nbXtvbty4UZYtWyaBgYG3/f4wiEEEw2LepUsXNYwtXrzYFvb59ddfy+effy4//PCDVK9eXYYNGyZ33323bNq0ScqVK5fktTDX7tmzp4wcOVIGDBhg2/7nn39K/fr1bf285557VBtMnz5dChQooK/dvHlz2b59u22BICYmRsaPHy8TJky4o9Ja3giFtxcAlxcIbaxiwfIMAZw3b16HCF7jem6PvaXcWNMhvPEDR8NqHcQ4hTghhBBCCIHoLvtUU6e8986v50ueHNdrOKeGqVOn6vwa8114jmI+++23396wHwSwda48YsQItZAnJ7zxWp07d5bSpUvrtipVqtie/+yzz+Sll16SHj166GMI9Pnz58tXX30lQ4YMueH17rvvPhXq8E4tVaqUzs1Hjx4tr7/+uj6/ZMkSiYyM1HrVmJOb95g0aZKMGzdOHnnkEZt7+R9//KFWcZI2KLw9GFidT548qRZu/EggcvPly+cUYYv3NFZug4kjP336tPYTJyFjETdCHH1mrDghhBBCCHFlmjZtqq7cMDB9+eWXaujq2rXrDfvhObiMG/z9/ZN9PbiYN27cWG9bt24trVq1km7dukmhQoV07oyQTlirreCx1TXcClzEK1WqpFbvl19+WRYuXKgiG1ZugL+Dtypc2q3AaLdz507bY1jHKbpvDwpvDwZi9tixYypgEafhagIWJyQ060IBrPPo9/Hjx1V0o+9whUcMCRqt4YQQQggh3gHcvWF5dtZ7pwXMV4ODg/U+3L4hmH/55Rd58MEHk+yHuG6z382AQWrixInqtj5nzhwZPHiwvPbaa7Jy5cobxHFqgdXbCG/cIsmbeS2IbiwCLFiwINm4dOvnJLcHhbeHAhcXWLohVo27iKtj3NTRZ7iiG1cdE48Oazgs9rCGYx/GlRBCCCGEeC6Y/6XF3dtVgKHo1VdflWeffVZ69eqlc9fb/fywYjds2FDefPNNtTZDjON1AwICZOnSpWoVN+BxrVq1Unw99AWu5ci6DvfxoUOH2p6rUaOGxMbGqlHMuLaT9IXmQw8EohXx3LAeu4votsfUQYTbOaz1WF1DLAqypCN7OrIvwj0Gq3PMlk4IIYQQQlwJuHDDSJRcvHVqgGUbMdmrV6/WuGwkM4MnK9zFwQsvvKBx3WPGjJFt27apFXvt2rXy1FNPpfiaENT16tVTKzw8TZGMzQD397p162q8+axZs2TPnj2aIA5WdvSB3Dm0eHsgiMWAtft2V9dcdeXQJGGDAEfMunFJN+7oSGhBSzghhBBCCHE2sBwPGjRIPvnkE80knlYXbRieli9frpnFEdMNazeEeNu2bfX5J598Uuf7zz33nBqjKleuLH///fcNGc2Tczd//PHHpXfv3km0Aoxe//zzjwrtfv36qciHW3yjRo2kaNGit/ktECuZEk1OemIDgxsp9DGYMegzAlinMdjbtWunlt7bBYcTyRZgCYZbtqeDzwsRjob7Jp4dlnKIcFeLa8+IMUDcF44BwjFAAMcB8dYxgOo3u3fvZo3ofysCQZNgXsscR647LtOiG2nx9jAguFHnz1sSH0BYQ2yj4QSFmHCs+uEEBfFtYsLd1eWeEEIIIYQQ4v5QeHsQiNU4ceKEik5vdLe2uqPju8DqFBYiTKw4RDhuvfG7IYQQQgghhDgPCm8PApbu8+fPe4WL+a2AuDZWf7hr4buBK4hxRcdzuO9OruiEEEIIIYQQ98SpAQOLFi2SDh06aDp8CKBJkybd8m9QWw7p7iGaUAPvt99+u2EfZA9E1j744NeuXVsiIyPF04G4hLUbJbcYB5IUWLyxGIHka3BHhys6MqMfPnxYBTms44QQQgghhBDiKJyq0FCfGcXlU5tmH0Ht7du3l6ZNm2q6/KeffloeeughmTlzpm0fpNRHbbu33npLoqOj9fVbt26tYsuTgTUX8c3enogiNa7oSICABQqI7oMHD2qJBmRHx/dHCCGEEEIIIR7lao50+CYlfmpAkXdkk0MqfYA6dkuWLJEvv/xSxTX44osv5OGHH9Y0+OZvpk2bJsOGDdP6dp4IBCPqdrtbFm9nW8HRrAnZUJ4MVnETC87vkhBCCCGEEOJ1Md6oZYfi7lYguGH5BigpFRUVJa+88koSKyf+Bn+bEhBeVmsnrMfGfRstIzDvk9b3QwmtuLg4TSSG2GW6TacdWL/RMH7gro8G4W3KkmVUMrbbHQPEc+AYIBwDBHAcEG8dA/i8mNvCMILmzZiKz+b7IM4D3z+OA8anvS5Iy2/UrYR3bGzsDQXc8RhCOSEhQS2WEJ7J7bN169YUX/fDDz+Ud95554bts2bNUuGVkcyePTtD34+4HhwDhGOAcAwQwHFAvG0MZM2aVYoVK6ZVaWAQIdeTJxPngrEIrYn8ZFeuXEnyHBJbe6TwdhSwkCMu3AAhX7JkSWnVqtUtC6GnF1gtwcm1ZcuW6gKdGrDygsUInJyYyTz9wfcLTwL82HBM4IaO8eCobOi3MwaIZ8ExQDgGCOA4IN46BjDvQgJczLm8PW8R5qEQ3ZjjM/zR+eMSeaIaNWp0w7g0ntIeJ7yxAnbkyJEk2/AYYghfBkz/aMntg79NCQgptJTigDOStLwnBLcpH8ba1I4BJ34A8Y2THxIC4vs2buiOOBE6Y9wR14JjgHAMEMBxQLxtDMBzFXMrhIp6e5Ue415uvg93AZWlEAZsQoFvxW+//ab7Il+Vq4LvH8chud9jWn6f7nMURaRu3boyd+7cJNuwGojtAHG64eHhSfbBoMVjs48nATGI1TCKbseDsQWxjVUurGwdOHBAM6JDjDPuhhBCCCHEu4EX6hNPPCFBQUFq0IP3LMom22sXT2fVqlXyyCOPpOtrZsqU6YbWoEGDmz6PNnr0aFs5ajwuVKiQWq/t+2v2dzROtXjDYhsTE5OkXBjKhBUuXFhKlSqlLuAQN3/88Yc+/9hjj8m3334rL774ovTv31/mzZsnY8eO1azlBriM9+nTRyIiIqRWrVry1VdfqZXSZDkn5E5jj2DxxoosvA0whuFtUbBgQcmTJ48+TwghhBBCvIc9e/ZI/fr1dT746aefSpUqVTRcACWPBw4ceNNcU+4EPtOtLLxFihRxyHv/+uuv0qZNmyRGsZs9D3A8rGAOP3HiROnZs6dt2y+//KK6E+WFHY1TLd6rV6+W6tWrazOiGffffPNNfXz48OEkXwJKiUFkw8qN+twoK/bzzz/bSomB7t27y2effaavERYWpkJ+xowZNyRcI+ROgJcB3NDRcBI6dOiQxiQhwZ990gVCCCGEEOK5PP7442oxjYyMlK5du0r58uUlJCREtc2KFSts+0HXdOzY0ZY36N57700SIvv222+rfkEZZLhslyhRQoU7DD6ffPKJhs76+fnJ//73vyTvj/f+4Ycf5K677tJQSJRcRkUnGDibNGmixqF69erJzp07k/zd5MmTpUaNGurRCUs9kk1b57F43e+//17uvvtufQ3zvlOmTJGaNWvq3/n6+krnzp1tf4N+w/BpQKlnLETkyZNHvQDwXcFwlVYgovH5TYOh9mbPo9nHY8M4i+/WgIRpsIpje0bgVPMcBoJJlZ+Sz39yf7NmzZqbvu6gQYO0EZIRMR84wZlEbHAzgvjGjx+rat4Ul0UIIYQQ4ghuluEcczGrx+HN9jVxurfa196aejNQhhZGPohSiEt7jNUVoYlGdC9cuFAFLkQ1jIZwhTZAHE+fPl3++ecf2bBhg/Tt21e9giHm8XfLli1Tz1+US65du7bt79577z0VuWgvvfSS9OrVS8U0PIhh0cXfQB/htcHixYuld+/e8s0330jDhg31fY2L+FtvvZVkMeCjjz5SMY3vGUZQCO3XXntNvZLxHaKvNzs+eI8yZcrIrl27VHjDe/m7776TjOaBBx5QjwQsgOA7GT9+vC4UYPEhI6BfLCHpAE7kcDnHyhpqwmP10irA03ICJ4QQQgghSUv/pkS5cuVUZBrg+ZpSbeXAwEAVsoavv/462XJQVuF5K2BVhgGmYsWKN90Psd4Q0hDRsPwCCFdYxhFnDAuyEeiwykLEw+INo+O2bdtU3ELEVqhQQT7++GOZP39+EuGNsFpY0AGEN/JbvfHGGzbP4KeeeipJ6C2s2y+//LLN2guRDvEOUWz9/PhurX/Xo0cPbdZSzPBETglrkrXSpUvL+++/r+HDaRXecA+35rUaMWKEdOrUKcXnwebNm1VgG+At0LZtWzXuwjsa3zMWJDIKCm9C0lmAQ3wjqQYE+NGjRzVLY4ECBVSAJ5c9nxBCCCGEuCc38961smXLFhXcRnSDypUrq5EGzxnhDXGKOaNJ3otwWViarZnNsQ1zTCtVq1ZN8jyAi7d1G7wzkSQYbu7r1q2TpUuXJnFbh0s79sFiBDw6AfJmWUEY78MPP5zKb0dkzpw5unCydetWfW9Y+u3fIzV8+eWXauU3+Pv73/R5EBAQcMPrQGhjEeL+++9Xd/y//vpLrf8ZAYU3IQ4U4MYCfuzYMTl16pSeSCHCKcAJIYQQQlIH3KVTwr7U1vPPP5/ivvaZqyHA7hRY3PG66ZVAzT5M0d493myzr6pj3cd8zuS2mb9DnDWs1l26dLmhD9bYaHv3eXh4piXpHOLOBwwYoAIfcdlLliyRBx98UF3U0yK8EbMdHBx8288bYPGGSz36gKzzPj4+klFQeBPiYEydeJxgjh8/riXIIL6x2kgXdEIIIYSQm5OW+ZKj9k0JiEm4cw8ZMkSefPLJG4QqPB9h1UbCMyTiRTNWb7hC43lYvjMaxDXDhT01YtXesg63+dRUjIqKilKhj4TYmf9dIEFFKmcC7wHEtiNZnYl3z7D3ztB3I8SLwckdzWoBpwAnhBBCCHFvILpRTgyljN99910Vp3CpRiUmZAWHKzncoOH6fd9992miMjyPRGONGze+wZ07I0CMM6zRiIHu1q2bCmO4n2/cuFHjsFMC8d/NmzeXsmXLaqw3PgfizxFXbg9EPeLtBw8erNZluLYPHTrUIZ8HCxhIcmwFnqbJJbxDLPsLL7yQodZup5cTI8QbgfUbghsnOAhwrHzGxcXdNAsnIYQQQghxTZCYLDo6Wpo2bSrPPfechIaGSsuWLdUyDOFtXL1RvqtQoULSqFEjFeL4uzFjxjilz7DST506VWbNmqXx5XXq1NE4aSSguxlI9oa46L///ltLnzVr1kzLqCUHkq4hyzqSwYWGhsqff/5500R5dwIs8Ij7tjYI/uSAwQtl0OxDDxxNpsTUZgTwIhD4D2EEiySskRkBVoOwWtSuXbtUl6BC+QJkz0ZfifsCCziSTCATI1ZEcaJOS8wL8Rxu5zxAPAuOAQI4Doi3jgHMh5D1G6Wn7Gswextw0TaJ0Ozj2InrjMu06EYeRUJcyAIODhw4oLHgKZXCIIQQQgghhLgXjPEmxEUwmc7h9oISEVg5QzIOrJ4hEQQhhBBCCCHEPeFsnhAXAy4ssH7DrQWhBBDgyJiZN29edUcnhBBCCCGEuBcU3oS4ILB6o04iRHhCQoIcOnRIHxsBzlgfQgghhBBC3AcKb0JcXIAj0RoSbMACfvDgQRXecEHHbUZnYySEEEIIIYSkHQpvQtwAWLiNAD9//rycO3dOaxNCgGM7BTghhBBCCCGuC4U3IW4mwGHpvnr1qpw9e1Ybkq9BgMMVnRBCCCGEEOJ6UHgT4oYgyRos3leuXNHka1YBbrKjE0IIIYQQQlwDCm9C3BiUGYPgRs3vkydPypkzZ1R8oy54tmzZnN09QgghhBBCCIU3IZ4BRDbaxYsX5dixY3L69GmbAGcJMkIIIYQQQpwLaxIR4kHAzRwW8MTERK0Bvn//fhXhSMpGCCGEEELIrWjSpIk8/fTTDv8bb4PCmxAPrQEOAY4YcNQARxkyxIFDkBNCCCGEuBNIKouwuoxqeD9HM2TIECldurTkzJlTateuLZGRkXf8N4sWLZIOHTpIQECAzgcnTZokziK9hPixY8dkwIABUqpUKTUwFStWTFq3bi1Lly4Vd4Ou5oR4QQ1wlCBDQ0K2QoUKMQM6IYQQQtwCiOADBw6oIM4oEL5XokSJOwrXg/Ds27evNnvGjBkjzz77rAwdOlQF9FdffaVictu2beLn55fs66Xmb1Butlq1atK/f3/p0qWLeAJdu3aVS5cuye+//y5BQUHq0Tl37lw5fvy4uBsU3iQJ5y4myNEzx+Xo6RNy7MxxOX3hnOTMlkPyZM8lubPnlNw5rt/q4xy59DZX9pzO7jZJRQkyWL+RfA2Wb8R+MwM6IYQQQlwdGBAgujGfQVJZR4P5Et4P7+uoPDlffPGFPPzww9KvXz99DDE9bdo0GTZsmLz88su3/Tdt27bVlhYg1mFRnjBhghponn/++Rv2wXfx8ccfy48//iixsbFSvnx5eeONN6Rbt27JviYWGxYuXKjt66+/1m27d++WrVu3yvvvvy8bN27U77Zu3br6fNmyZZN9nfj4eFm8eLEsWLBAGjdurNsCAwOlVq1a4o5QeHspCZcuyNT1C2TjwR1y9PRxOXrmhN6eu5SQ5tcqmCuflCzsL6V8/KUUbgsH2B7nzZHbIf0naQcXK5xQcTE5ceKECnCTgC0jLmSEEEIIIbcL5ioZNV+BhdWRrx0VFSWvvPKKbRsWFVq0aCHLly9Pt79JLS+88IIK5MmTJ6vl/NVXX5Xo6GgJCwuz7fPhhx/KiBEjVOyXK1dOXdrvv/9+KVKkiE0QW4GY3r59u4SGhsq7776r24oUKaKfAVb7qlWr6jz0zTfflM6dO8vatWv189gDwxEaXObr1Knj9gYjzra9jONn42V05D/y1+oZcvrC2WT3gVgukq+w+OUrLPlz5ZWLVy7J+YsXVJRDsOP2/MUEOX/pgiRKosQnnJH4g2dkw8HtN7yWT56CEuxXSkKLl5fQ4uWkSolyUjhPwQz4pORm7lMQ2xcuXJCjR49q8rXChQurKE/upEcIIYQQQm7OBx98oM2QkJAgK1askEGDBtm2bd68WRcP4D5ftGjRJH+Px7AIJ0dcXFya/yY1QPz+8ssvKqqbN2+u2+DSDTd7Ayrm4HPNmTNHLdQALt9LliyRH374IVnhjXlm9uzZNeQRMdlWt3ErsNZDkON7gUi3B9/Vb7/9ppZ+iP4aNWro+/Xo0UPFu7tB4e0l7I47ICOW/y3T1i+US1evx8jAKn1X1cbiX9BP/PL5qND2y19YcmdPXfwvEnVBhB88eUT2nTgs+44f0tv9uH/isJw4d0qOn4uX47vjZeXu9ba/K16wqIrw6628VPQvIzmyZnfYZyfJg8QcWDnEhQEJ2LCiiPjvPHnyaHw4IYQQQghJHY899pjce++9tsf33XefCk1rrDWSnsHo4Srs3LlTremIGTfAGFOhQgXb45iYGM0T1LJlyyR/i7+rXr16mt5vx44dauVeuXKlLiaYqjv79u1LVngDfIft27dXl3MsZEyfPl0++eQT+fnnn5ONn3dlKLw9GAjj6H2bZfjyybJo+2rb9irFy0vvep2kSYWakiXz7ceuQJzBOl6hWBlt9py5cE5F+ObDO2XDge3q1o4FgIPxR7TN3LRE94Porl6qstQtW03qBIWphZzCL2NgAjZCCCGEkDsHghXNgHkUXLeDg4OT7Ofr66vxzUgSZgWPrdbhO/2b9AJWcYB48uLFiyd5Lq2u3x06dNAY7Z9++kkXITD/hOC+lWs/jEUQ/miILX/ooYfkrbfeovAmGQd+CFiFgtuFvVA9nXBWnhnzkazZt1kfZ5JMKrQhuKuVrJgh/cuXM49UDgjW1i28tU2Mbzq4Q0X4Br3dLifPn5YVu9ZqE/ldfPMWlNpB10V4naBq4pOXrukZnYANiTZMAja4ChFCCCGEkDsH86rw8HDNzN2pUyfdBgGKx1a39Dv9m9SApGYIQYQFGuW6wMmTJzU+27iQV65cWQU2rNLJuZXf7HNay7IdP35cM7BDdDds2FC3wV39dkCfnFkq7Xah8HZTMJCx8gR3FQjwBg0aJMm8+MOiMSq6YU2+q1oTub/O3RLoEyDOBmK8TtkwbcYqDyv48p0Q3uskas9GiTsbry7xaKB80dLSpEItaVapjpTzC6Q1PAMSsGHlESdIiHBYvyHCHZXZkxBCCCHE3cF83FiHwejRo/UWWcANiGfGfAoJxvr06SMRERGaoRulwWD0MBnLTc3ucePGyfz58/Vxav7GGOUMyCSOxGWwxBthbQVGlwcffFATrPn4+KiF/rXXXkuS88dkOn/mmWdU7ENznDp1Suto58+fX/uUHKg3DkG/Z88efZ/ChQvreyAzur+/vwr5lDK4GzAXveeee7Q8GmK60ZfVq1erq3nHjh3F3aDwdlPwg0D8BYrKY1UK6fbhfgG3YcRa/7Vqhu73ZfeXbSLXFYGIDipSUtt9dTrIpSuXZe3+rbJChfha2Rq7W7Yf2aPtx0VjNS69WcXa0rxSXQkJCKYIdxBYpcQKKBJqwI3JJGDDiZMJ2AghhBCS0cArz5Xf57PPPpN33nnnpvtACEOQdu/eXefwiHeGMEcG8RkzZiRJnoYYaOxvSM3fQJQ2bdrU9hhiHUAcI0lZcnz66acq2OEGDmH73HPPqbC28t577+miAbKb79q1Sz0i4XGLDOgpAbGO94V1GvmEdu/erYsRTz75pLqXQ8d88803Wu88JTDvRPz5l19+qfHoqMxTsmRJTbZ2s/d2VTIlwuRIkgCRAQsfBh1WcjICDKR//vlH2rVrp4InNaAk1Lp163Q1CQIJSbGaNWsmny/+Q+ZuWSH1g2vI4F6viztz4ly8LI1ZI/O2rFCruEkMB4rm95FmFetoCytV8Y7i1V3FiwHlG3AicyXrMk4RiP1G/6zx31z0cI3zAPEsOAYI4Dgg3joGUHEFAq1MmTIa1wsw/zhw4IB+JxkFvnNk9nbmfAzWZWgSaBEaPVxvXN6ObqTF281BQgW4WsyaNUut3lOmTJGL505LtkxZ5ekWvcXdQemxDtWaajt3MUGWxkTLvK0rZMmOKDly+riMipymDeXP2oY2kvZVG0u5ooHO7rZHAYGNRR1c+LAiao3/dvd6ioQQQghxbSB+IYJNBuyMAELXlYwgxDOg8PYAIIIgvpctW6Zp+v2yFZAOYU2lrN+NsRzuTJ4cuaRVSH1tqC2+Yuc6FeELt62SY2dOyB/LJ2lDhvX2VRpLmyoNxTdvIWd322PABQgWb6w4w9sCIhziG+MPseGEEEIIIY6ag1AIE3eHs2UPism9WCSr/L0iUq5lFvm96Sc21whYKJHMwJNA0rjGFWpqQ1z4kpgoTca2eHuUbIvdre2rOX9I7aCqagVvWqG25Mqe1DWE3L77FcQ2xhaS+yEBG+O/CSGEEEIISRkKbw8B4nPw3BFy6NJxGdCkh83Su379eo0DR7kAxA7DQulpZM+azRbrHX/+jMzevFRF+PoD2zQuHA31xttWaSRdw1tplnRy5yDGBa7mSJhx6NAhFd6I/0aCP8Z/E0IIIYQQ8h8U3h7CmFX/yKH4oxrrjNJhBogigEyAyEIYHBwsVapU8TgLuKFg7nxyT0QbbftOHJZ//i1LdjD+iPy1eoa2KsXLS5fwltIqpIHkysYY5TsBAhtCG3FX8KxAw+IO478JIYQQQgj5D6f7haJGHdLqw3qGdPGRkZEp7ovY0nfffVett9i/WrVqmkbfCtxen376aQkMDNTMy/Xq1ZNVq1aJJwMr78+Lx+n9x5v2TOJSjUL3Xbp00dp9yE6NGPAJEyZopsyDBw+KJ1OqsL881qSHTH5iiHx//1vSsnI9yZo5i2w4uF3e+XuItP7iQflo+k+y48heZ3fV7YGLOeK/8bs8efKkZh9F7cWMKv1BCCGEEM+BRZeIJ45Hp1q8x4wZo/Xlhg4dqqIbheBbt24t27Zt0wLu9rz++usyYsQI+emnn6RixYoyc+ZM6dy5syYVq169uu7z0EMPycaNG2X48OESEBCg+7do0UI2b94sxYsXF0/k58V/yZkL5zSb911Vb6yFB+s2vlfU/oPrOdLhQ3QjTtdTvxMrmTNlltpB1bQdPxsvf6+dJxPXzJYDJ4/I2FXTtVUtUUF61Gqn9cGzZaEjyJ3Ef6Mx/psQQgghacUkULt06ZIa0AhxBVBWF9xpaT+nKowvvvhCC6D369dPH0OAT5s2TYYNGyYvv/zyDftDTL/22mta0xAMGDBA5syZI59//rkKbLhVjx8/XiZPniyNGjXSfd5++20tsfX999/L+++/L54GXKjHrrpu9X+2Zd+b1rJG4fvmzZurGMLiREhIiO25w4cPy9atW3VBAyXKPDVG1ydvQenXoIv0qd9JInetl/HRszQrOuLB0Yrk+13d1LvWaCmF8hRwdnc9Jv6b9b8JIYQQcitQJQUhbDAWQeR486I9wviwAAFjhjd/D862dEN0w5iEMMo7zazvNOGNgRQVFSWvvPKKbRsGFazTy5cvT/ZvLl68eEPRckzklyxZovfh1opawzfbx9P4cek4uXLtitQPrqEW3dQAEVS3bt0k2+ARgBjwmJgYtYRDgJcvX/6G79KTrOB1yoZpizt7UiZEzZZxUTO0LNl380fKz4v+0mRsPWu1k/LFyji7u24d/21f/xsCHFn4CSGEEELs5w7+/v7qnbl3r3eHAkL0wYBBo4XzgeiGYfJOcZrwjouL0wl50aJFk2zHY1hekwPu0rCSw5qNOO+5c+dqvDJexyoo33vvPalUqZK+1qhRo1TII6lYSkDQoxlOnz5tiylHywjM+6Tl/VbtXC+LYlZL5kyZZFDT+2zfw+0QGhqqq4wQ36dOnZKVK1dqbDxi5StUqKAnQU/90RfKlV8ebNBVete9W2ZvXi6jV/0jWw7vlMlr52qrUaqy9KjZThqVj7ipR8GdYo7fnRxHVwUCHGMbK9gYXziB5c+fnzU50+E8QDwLjgECOA6IN48BzDeR/wmf3ZtjvWFQRDgt8lVhjk6cMxbx3WO+mlLeorT8RjMlOmlEw/0U8cUYUFbr64svvigLFy5U4WcPJu1wTYfrOL4IiG9YyOGabs3e3b9/f1m0aJF+SSihBcstrOtbtmxJti9wR3/nnXdu2D5y5EgVDK4IDtvHy/+Q3acOSYOSYfJAaNt0eV2Ivvj4eF0YMd8pXIZhAfdU4Z3cd7sr/qDM27taomO3yrV/fyJ+uQtJizK1pG7xKpI9y53FeBBCCCGEEELcG7ii9+rVSw1LMCq5pPCGqzlE7bhx46RTp0627X369FHhhzjtlECsAzImI3kaYsGnTp0qmzZtSrIP3FphuYaltnv37urqivjx1Fq8S5YsqeLzVl9geoHVktmzZ0vLli1TFbj/d9RcGfjb25IzWw6Z+PhgW93u9ASff/v27eoaDA8CgNWe+fPnS1BQkFrDPX0F7sjp4zIuaqYmYzuVcFa3FcqdX7rXbCfdwltJgVz50u29sOiBmuvI1u/plmDELWFhB58ZvzFYwD01rMGR5wHieXAMEMBxQDgGCMeAewDd6Ovrmyrh7TTVhBjP8PBwdRc3whuTcTweNGjQTf8WE3RYyzEgkUzt3nvvvWGfPHnyaENpI2Q//+STT1J8PVh0k6s5bDI0ZySpfc/5W657BPQMbydFC/g6pC9w1bcPBYAr+v79+7XhGMLrAK7oGHCeaBEPKOQnT7Z4QB5udI+6nQ9f/rccPnVMhi4cLb8tmyidq7eQ++p0kICCN2bhv10guj1deOPzYZxDeGOlEItpJv6bFxfnnHuIa8ExQADHAeEYIBwDrk1ajo1TzZUoJQYLd0REhNSqVUvLicFSbbKc9+7dWwX2hx9+qI/hfo4yWGFhYXoLF3GIdbinGyCyYcSHGESisBdeeEHdpM1regqD+74pTcvXkjL5/DP0feFBAPd9WMLhRQD3fTQIJnzncOtPbhHD3UFt9B612ku3iDYyZ/My+X3ZJNkWu1tGRU7TcmStQupLn3qdmIjtNgQ4cjPAAwZeLBhTKD+GFUNm8CSEEEIIIZ6CU4U3XMARt/3mm29KbGysCuoZM2bYrKz79u1LMvmGVQy1vGF1RV1glBVDiTG4qRpg5kem9AMHDugEvmvXrvK///3P41aKYF1uWqm2HDlyJEPfF987PBUgvhGnj5rre/bsUc+CFStWqPu5JwpvQ9bMWaRNaENpHdJAVu5apwJ85e71Mn3jYm1IwPZQw3sktHg5Z3fVrYD3hKn/jdJ2KHmHxRx4rXiiJwUhhBBCCPEunB6gC7fylFzLFyxYkORx48aNtezVzYDbeXKu5yR9gRiCNwIa4uOR1A7i2xrbgBJuEFSwglsXRzzl85tyZFsP71K389mblsmi7au11QmqJg827Cbhgf/VSie3/k5RMgMLN3A/R4P7OeO/CSGEEEKIu+N04U3cHwilypUrJ9kG0YSycHD7R8IweDHAFb1MmTIeV8O5on+QfNT1OXmscQ/5dekE+Wf9Qlmxa5226qUqa6myumXDaLlNJfBygWcFEvlhMQfhJxDfEOGensyPEEIIIYR4JgyiJA4T482bN9fs8BCccIlHibc///xTy8UhY7qnUdq3uLzT8QmZ/MR3ck9Ea8mWJaus2bdZBo18Tx745UVZsC3Sq+tRphWIbIhtCPGjR49q+AgyRyKvAyGEEEIIIe4EzUfEYUmzYN1Gg8Vyx44dmpANMfi4RRZ0NE8EGc5fafeoxnr/sWyyjI+aKZsP7ZRnx3yk1vFHG3XXWHBawFO/iAMvCZQfQ14BJGND/DfKERJCCCGEEOIOUHgTh4MEWUich/rUsHxDeKMMmQGPkaANtcIRM+4p2ayL5Cssz7XuJ/0bdJERK6bImFX/aDz4M2M+lEr+ZeXRxt2lYblwCvBUgO8IQhvlx5D53Lifo3la6AIhhBBCCPE8KLxJhoqnYsWKabOChHnIbr93716N7UX5N8SDe4pFs1CeAvJE8/vl/rp3y/Blk2XMqumy5fBOeXr0BxISEKwCvH5wDWd3063Kj12+fFnLjyH7uY+Pj27z9NrnhBBCCCHEffEM0yJxa5CtPjQ0VC2XsGauXr1aRo4cKXPmzNF67Z5Codz55ckWD8jUJ7+X3nU7Sc5sOWTToRh5ctT/pM+wl2XZzjWMAU8lKD1mMuij/Bhc0DF2+P0RQgghhBBXhBZv4nQQr1u3bl2pWbOm1mjfsmWLJtPavXu3XLp0Sd3PPQlYwJ9u2Vt617tbfl86Sf5aPUM2HtwhT43+QMoWKiEv+OaUWkFVnd1Nl4flxwghhBBCiLtA4U1cKos1an6jnThxQgU4sqIbYNGMjIxUV3R/f3+3j40unKegPNOqr/Su10l+XzZRBfjOkwfksRFvS52gMBnYtKeEFC/n7G66XfkxjBMs5rD8GCGEEEIIcRU4KyUuSeHChaV+/fpJtiEJ286dO7XBqona4eXKlXP75Fo+eQvKs636Sc+a7eWTyT/IkgPrZcWutdqaVqglA5r2lGC/QGd3023Kj128eFE9JhD/jXEEUe4pCfsIIYQQQoh7wtkocRsCAwPV2o343vj4eFm2bJnGgi9dulQtne6OX34f6RXSRsY99rXcVbWJZM6UWeZvi5TuQ5+V1yZ+JftOHHZ2F90CuJ4j/hsWcMR+IwYcbuiEEEIIIYQ4Cwpv4jYge3XDhg2lV69eUq9ePbV6I7s1sqJPmjRJ73sCJQoVlXc7PSljH/tSmleqI4mSKNM3LJKuQ56Q96d+L8fOnHB2F92m/BhK2cH1/MCBA2oF95QxQgghhBBC3Au6mhO3A67lISEh6moOiyaEN5JswRJu2Lp1q5QqVcqtS5IFFSkpn97zopYe+27+KFkaEy0TomfLP+sXSs/ad0nf+p0lX848zu6mW5QfQ5I+lB+DCIf7OSzidD8nhBBCCCEZBYU3cWurJjKeo1nLSKEm+OLFi1VYlSlTRkW6n5+f2yZjq+RfVgb3el2i926Wb+YOl/UHtsmvSyfI+KhZ0q9BF+les62WJiM3X6zBwsyFCxfU9dzEf2Nhxl3HBSGEEEIIcR9o8iEegVU8Xbt2TYU2bpGI7e+//5aJEydqcrarV6+Ku1IjsLL82u8D+bL7y2oNP33hrHw95w/pPGSQTFozR65cc9/PlpHlx2ABT0hIUPfzI0eOaDI2QgghhBBCHAmFN/E4ihYtKh07dpTOnTtraTK4G8PNeOHChTJq1Ci3TsQG8di4Qi0Z8+gX8vbdg6RYfl85cvq4vDvlO+k+9BmZv3VlEus/Sbn8GEQ4kvRBgGN8IBkbIYQQQgghjoDCm3gsvr6+0rhxY03GVrNmTU20BdGFklMGuB67I1kyZ5G7w5rJxEHfyrMt+0qBXHlld9wBeW7sx/Lgb6/Juv3bnN1Ftyg/hlhvLGYg8drBgwfVBZ0LF4QQQgghJL1hjDfxeHLmzClhYWFStWpVOX36tC2pFlzRJ0yYoK7HoaGhWq7M3RJu5ciaXe6ve7d0rN5cfl82SUaumCJr92+Vfr++Is0q1pEnmt8vgT4Bzu6my48PlCBDyTGIb4jxQoUKqUWcEEIIIYSQ9IDCm3gNENUoQWZNwgaxde7cOYmNjVX3YyRiQ61wJONyJ5DdfFCz++TeiDYydOFo+XvtfJm3dYUs3BYpXcJbySON7hWfvP99dpIUWL3hEYEcALB6Y0xAfMM7wpotnxBCCCGEkNvBvcx7hKRzLHjPnj3VGg6LJ0pNrVy5Uv78809ZunSpPnY3/PL7yJsdBmoMeMNyEXI18Zr8tXqGdPz2cflx4Vg5fynB2V10i/JjENtYmEH896lTp9Q7ghBCCCGEkNuFwpt4NbByIv4bceANGzZUKyeSbKE2ODJfuytl/UrJ1z1flR97vyuVA8rK+UsX1BLe6duBMjF6tlxlBvSbAo8HuJzDAo5a8WiwgjP+mxBCCCGE3A50NSfk30RbcDGvUKGCiizE+hYpUsT2/Jo1azTmNzg4WPd1FyJKh8ofD34sszcvk2/n/ikH44/Ie1O/l1GR0+TpFn2kXnB1Z3fRpd3PUecb1m6IbjSEKmBxxt1CEQghhBBCiHNxHwVBSAaJreLFi2uzZj6H8Ib1c/Xq1RoHXqlSJU3K5Q5kzpRZWoc0kKYVasvY1TPk50V/SczRfTJo5HtSt2yYCvByRQOd3U2Xzg0A9/PLly/LiRMnNATBxH/DNZ0QQgghhJBbQeHt5UBMosGqZ21wqYUItb8Fxt3WPIYwgQCxNk8CnyciIkI2btyoVk+I77Vr16p1HNnQ4ZLsDmTPmk3ur9NBOlRrIj8vGidjVk2X5TvXyspd66VjWDN5rEkPKZKvsLO76bIg7htiGwsxR44c0SRshQsX1qR85rdACCGEEEJIclB4eymXLl1SAQHBANdpiGckGMN9CAzcQnCa8loQ26YZYY5biHbEROP1cN/cArw2/h6vZV7PHQUKvg+UIoOle9euXbJ+/Xq1fG7atEljwZs0aaIu6O5CgVz55LnW/eTemm1l8NzhMmfLcpm4Zo7M2LhEetfrKL3rdpRc2d3Dmu8M4OkAV3NkxEdYgik/5i4eEIQQQgghJOOh8PYiIJYvXryoDWISYgGiAffvVBTjtY0IN7dwzYUQR8N7Yjv2M0Ic7+tOdbPxHZUrV05FNgQXBPjhw4clIOC/OtlYzMAChjssMJQsXEw+uecFWbd/q3wx6zfZcHC7/LBwjEyInq2lydpXbaxu6uRGMG5h6cY4R9ZzE/+N5k45AAghhBBCSMbAGaIXAMs0BCGEMEShn5+figbcTy+M5Tw50QGxbUQ4BDj6gltrlmiIcFgR3cFN3RoHDqsnEnAZ5s6dq9uqVKniNonYqpWsKL/1/1ATsA2eO0ITsL01ebAmYHuuZT8JLx3i7C66LDi+WLzCeEb5Mbif+/j46O/LnRaVCCGEEEKIY3F9VUDuSHBDBMLSjIzcvr6+Wj4LIjejhSpENRoECUCfjBiHEEc/Ub4L2yG+0Ud3sIhbRTf6HxcXp59p8eLFGgteuXJlba7uhoxj1CqkvjSuUFNGR/4jvyweJ1sP75KH/3hDmlasLU+16C2lCvs7u5suCxaxML4xBuANgXGO+G/r+CCEEEIIId4LhbcHA4syBB9cyiG4XcmabJKwoX+wGGKRwFjEIV4gxNF/bIdVEaImoxcM0goWN3r27Clbt261JWKLioqyJWKDFdzVE7HlyJpd+tTrJHdXa6p1v8dHzZb5W1fK4u1R0r1mW3m40T2SP9f1xROSfPkxLB7h2GMMG/dzlh8jhBBCCPFuKLw9FMSeAmPldnVg2YYIR0PmaIgX45YOEWOs4hDrRoS7Yhw1+oZEbMh2bhKxHT9+XJOw4Vi4uvA2FMpTQF5p96jcG9FWvprzhyyNiZY/V06Rqevny6ONu0vX8NaSLQtPH8mBMWrKj+HYG/dzbHOlxS9CCCGEEJJxcObsoUCswtLtrq6uECjoOxo+h3FJRw1lWMTRTCZ2VxTh6BtivMuWLauux9u3b0+S+Xzfvn3a72LFirlc362U9VLfqtsAAHnUSURBVCslg3u9Lsti1siXs3+Tncf2yyczfpG/Vs+UZ1v1lfrBNZzdRZcFxxcLLRi3SMJ3+vRpdT/HQpgrH3NCCCGEEJL+UHh7IBCpmPTDxdUTJvj4DBDYaLCGu5MItyZiM8B9ftmyZWoJLVq0qFSrVk1KlSolrky94OpSK6iqTIqeI98tGCW74w7IEyPfV+H9TMu+ElSkhLO76JLg+CMEAWMTHhsHDx5k+TFCCCGEEC+EwtvDQJZwCNEiRYp47MTeJGqDgIE7rxHhJkGbiR131YziCAMoUaKEWsGPHDkis2bNUiGGGHCT5d0VyZo5i3SLaC2tQxvIz4v+klGR/6gL+oqda+Wemm3kkUbdpWDufM7upsuXH4uPj7d5pGAhyVXHKSGEEEIIST9cO2U0STOIizaWYW8AFm7Ezvr7+0vJkiW1pjbc0yHGUV8ZYhwWZlcCiwYNGjSQHj16qLUbn+HkyZOyaNEi2bJli+zfv19cmXw588gzrfrKuAFfSZMKteRq4jXNhN7p24EycuVUuXz1en4BciMQ2fhtYnHo6NGjcuDAAXVBd7UxSgghhBBC0hcKbw8Ck3cIb7iYu3oGcEcJWogauHXDdRtu3BA6sC5C3OC7cSWLMhYIatWqpZnQa9asqVZ6uNG7SwbsUj4B8kX3l+X7+9+WYL9AOX3hrHw2c5h0H/qMLN0R7ezuuTRYHIPHBizgyAGAGHAsEhFCCCGEEM+EPo4eBNysEU/qLdbum8XVmgzpWITA9wLxjZhqCHCIcTznKhmmIcLCwsKkUqVKavXGgoEBtcCR4R1u6K6aKK92UFUZ9chnMmnNXPlu/kjZc/ygPDHqevw3ErCV8WX8963KjyFUAmPU1LknhBBCCCGehdMt3kOGDJHSpUurEKpdu7ZERkamuC/ied99913NFI394aY7Y8aMJPtgEvvGG29ImTJlVIRi3/fee8+lLJ2OsnbjsyNrsqsISleJrUUWaT8/P7WCwxUdYwfWRVezgmNBAAsFBrjLb9iwQUuSjRo1ShYvXqx9dkWyZM4iXcNbyaRBQ+SBuh0la+asGv8N6/enM3+R0wlnnd1Fly8/hgWYEydO6DaESeD3TAghhBBCPAOnCu8xY8bIs88+K2+99ZZER0erkG7durXGPibH66+/Lj/88IMMHjxY6yI/9thj0rlzZ1mzZo1tn48//li+//57+fbbbzVeFo8/+eQT/RtPxljLaDFLGbjfwxsAic0QD45FCixYQMzi+3M1oQMh1qxZM7WAo59bt26VsWPHyvz58zUm3GXjv1v20fjvRuUj5Mq1qzJq5TSN/x67aro+JjcvPwZiY2M1Azos4a6yMEQIIYQQQtxUeH/xxRfy8MMPS79+/aRy5coydOhQdb0cNmxYsvsPHz5cXn31VWnXrp0EBQXJgAED9P7nn39u2wdlmjp27Cjt27dXS3q3bt2kVatWN7WkuzuIEwXIkgwLL0mdi29yVnC4o8OzwlX6GRgYKHfffbfcddddumAAERYTEyPjxo3TrOiuHP/9VY9X5bv73pSgIiUlPuGMfDT9J+n143Oyctd6Z3fPZTGl8GABh8cDxDdEOO4TQgghhBD3xWkqDUmkoqKipEWLFv91JnNmfbx8+fJk/wZuwfYlsuBOvmTJEtvjevXqydy5c22iZN26dfp827ZtxVOBYIQl11VjgN3FCo5m6oTD1Rdix1WsjcjajjHcqVMnFeNwT7bWBjeLL65GnbJhMvrRL+Sltg9LgVx5JeboPhkw4m15bsxHsv9ErLO75/Llx3B+w1hE9vO4uDiXWRQihBBCCCFuklwNk0i49loTSQE8hkttcsANHVbyRo0aaew2BPaECROSuAi//PLL6jpcsWJFFSd47n//+5/cd999KfYFgh7NYOJoMcnNqImueZ+0vB/EFkQiFiNMjWBy+yCbuI+Pj36XcPGF9Rsu3Yi9hgBytDeBGcc3c3mHe3zz5s11sQXH3ew7e/ZsXSRAuEaxYsXElYANt1uNVtKyUl35adFfMi5qpszfFilLYqLlvtodpG+9zpInRy5nd9MlsB8DsIAjRwF+57B8owY4PFswRund4pnczrWAeB4cB4RjgHAMuAdpOT6ZEp1k0kMJHVjs4Bpet25d2/YXX3xRFi5cKCtXrrzhb44dO6au6VOmTNEJKcQ3LORwTUfmajB69Gh54YUX5NNPP5WQkBBZu3atPP300yrY+/Tpk2xf3n77bXnnnXdu2D5y5EhakYnLA1GGnAcGCDWIb4gz47rsShw6Eydjt8yWLcf36OMCOfJK5wpNpHZAqGR2wf4SQgghhBCSHDCG9erVSz0UTa4elxPeEAsQtYhVhfusAeIYVp3Jkyen+LdwAT5+/LjG5sLCPXXqVNm0aZM+h6RZ2DZw4EDb/u+//76MGDEiRUt6chZvvA6s8rf6AtNztQRWy5YtW6a6BjessTjIWMDwxrrdGQUSm2FhBxZwWMLxGNbm9K63DSsnQiNgtU5rZnr0DdnPd+zYof0DRYoU0TJlcKF3NQGO086iHavlqzm/y4GTR3RbSECwPN+qv4QWLyfeSmrGAI4vkgEChEYgE7671H4njrkWEM+D44BwDBCOAfcAutHX1zdVwttpruaYKIaHh6u7uBHemFDi8aBBg276txA9EJsYkOPHj5d77703yaqDvQsmJrBGjKSUPRrNHgzyjB7oaXlPLFyg37TKOx58zxA5RoAbEW4EeHoKW4zXtApviC+EYNSoUUMFOBaZ4CGCE3bTpk0lODhYXI1mlepIg3LhMnLlVPl58V+y6VCM9PvtVWlftbE82fwBKZKvsHgrNxsD2I7jjfMfxiEWIvEY4xNhEcQzcMb1h7geHAeEY4BwDLg2aTk2Tp2loZQYLNwRERFSq1Yt+eqrr9SSgyznoHfv3iqwP/zwQ30M93Nk+YUVD7dwEYeghnu6oUOHDhrTjWzVcDVHqTG4mffv3188DZYOc042dDQIHYgerG5hpQviGyLc2ZZljAkkGMRvBDXA9+7dq9n9DegzXNFdJT44e9Zs0rd+Z7mrWhP5dt6f8vfaeTJt/UKZt2WlPNSwm9xXp4PuQ1K+EEN4owQjji1yADD+mxBCCCHE9XCq8O7evbta5d58801NHASxMGPGDFvCtX379iWZQGKCiVreu3bt0sklSomhxBhEkAH1ut944w15/PHHdTIKd/RHH31U34OQ9MJ4ScClBJZvI8AhhCDAnS18sDhQu3ZtqVmzpq0vWKT6559/dHEAlnGU5HN2Pw2+eQvJ23cPknvCW8unM4fJ+gPbZPC8ETJxzRx5rlVfaVS+ptMXNVwVjDeMRXj7IHcGSpEhARs9YQghhBBCXAen+yXCrTwl1/IFCxYkedy4ceMkSaSSA5NOWM7RCHE0sHTDyggBDm8NxN3D8phRmdBvhfX9sThg8hnMnz9foqOjXU6AhxQvJ7/2+0D+2bBIvpk7XA6cjJVnxnwkdYLC5PnW/SWoSAlnd9ElMdnPESOOhSCMRbieQ4Az/psQQgghxPm4xmybEDcHQhtCB0n54GUBsQMBDgF0s/wCGQlEWI8ePTS0AxZSCHEIcCQ4jImJcZl+QkQiznviwMHSr34XyZYlq6zYtVa6D31aPp35i5y5cD2xGEk+/huLjzi+J06ckP379+vtzUrUEUIIIYQQx0PhTUg6Cx8jwJGfAAIIFkg0VxA/WBCoXr16sgL8yJHr2cVdhdzZc8kTze+XcQO+kaYVasnVxGsyauU06fjtQBkfNUuuXnP+9+mqIOQB4xCLGDiuBw4c0IUgJxWxIIQQQgjxeii8CXEAcN2G+zlKeUGAw+0c1m9XFeCBgYFa+9uAcn2uYgEvWbiYfN79Zfn+/rckqEhJiT9/Wv43bag88POLsmbfFmd3z+Xjv2EBR/lGJKREDDhiwQkhhBBCiJfFeBPi6QIcwgfxtxA8qFEP8Y3tSH7l7NhqI8CtIInhlClTtH+uFANeO6iajHrkcxm3eqYMXThatsbulgd/e03ahDaUp1o8IEXz+zq7iy4Jjh3jvwkhhBDiSOBVl1yzf+5m+5qGOQsMQLgPIwLmLZ4AhTchGSR+kIkfYtYVBbgVJIhDf4wLuislYUO8d8/a7aVNaAMZMn+kTIyeIzM2LpYF2yKlf4Ou8kDduyVHVorJm8V/o/434r4x/iC+cTFLa914QgghhHgGRuDi1trMNiOG7Z834ti6j1VYm1v754D9Y4N9BRu8B5IYU3gTQu5IgMPyCAGOW5xoEG/tCvj7+6sL+qZNm7QWuCsK8EJ5Csjrdw2QruGt5NMZv8ja/Vvlu/kjZfKaufJsq77SpEItlh+7Rfw3PBsQ/40yeKz/TQghhHgOVqtxcrdXrlyxtZSEtnkd+/kUHlvbrbbd7P6tgJHAk6DwJsTJLuhGgEMAAZz0nG2BNC7oISEhSQQ4SvwVLVpU++4KVPIvK7/0/Z/M3LREvpr9uxyMPyLPjf1Y6gRVk+dbP8jyY7dR/xv5CLhoQQghhLguRiRDOENIm4acLvBsQ7NapNFwbTdCGvNQ6y3mnea+2U7SHwpvQlxEgMPiiLJeyD4NQeQKdcCtAnzz5s1aA9wqug8fPqxC3Jn9xAUCcd6NykfIr0smyvDlk2XFrnXS44dn5N6abeXRxt0lX848TuufO9b/LliwoMt4YBBCCCHeDES01UKNuRiasVbjGm4s1EZEmwYvN8zRnD2fJNeh8CbEhVzQAeqAQ3yj4YTpChZICPCwsLAk2xAnPHXqVBVqcEEvW7asU/uJ8mMDm/WSjtWbyZezfpP52yJl5MqpMn3DIi1LdndYM8mciReeW8V/I8YfIhziG8cWNeoJIYQQ4jggnI2wxrUYlmtThWT//v16a6rN2Atr3Dp7nkhSB2dUhLgYEEAQPBA/EEFwQYfwhWuwK51Y0S9rHfC1a9dKeHi4lC5d2qn9LFHoevmx5TvXyqczf5E9cQfl3SnfyV+rZ8qLbR6SaiUrOK1vrg4u4GhYST969Kgt/htjkqvlhBBCyJ0DAW2s2LjFNRd5V6wx17jmGis25oDGck3cGwpvQlwQrF5CfMMN2CrAIXTRXEGAQ2DDOr9x40aNAUcf58yZIz4+PirAS5Uq5dR+1i0bJmMe/VLGrJouPy4cI1sO75R+v74i7as2liebPyBF8hV2Wt9cHYwxXOgTEhI0/hveGIj/xnh0hbFHCCGEuJMl28ReQ2Dj2mpis/E8BDW8y9Bw/TUCG88DbKfo9gwovAlxYXCyhcsvhA+EtxHgJjGWs4E4g5s5YsAhviHCjx8/LosWLdLM6FihdXb5sfvrdJC2oQ3l23l/yt9r58m09Qtl/taV8lDDbtKrdgfJntW5fXRVILCRfR8r73B3Q8ufP7+OR4Q/EEIIISQpJsEZGizZENnGug2MyMYcji7i3geFNyFuAE7SxuUXrt2mQRg5W9wCXEAiIiIkNDRU1q9frwsFpl9YzYXbMpKwOQufvAXlrbsHSrfwVvLJjF9kw8Ht8s3cETJpzVx5vnV/aVAu3Gl9c5f8A5g0YMzBA8MkYMPCCyGEEOKtGGu2icmGRRtC22QRx/zNVfL1EOdD4U2IG4GTt6+vrwpwU4IMq6kQ4K6QBAuW+Fq1aiXZtnv3bpk7d67WB4c4L1asmNP6F1K8nPza/wP5Z/1C+WbucNl34rA8Oep/Kryfb9VPSvkEOK1vrg7GFyzemFzAqwHJ/+B+jm2uMPYIIYSQjHAbN1nFIbSNCzmeM8nOEJZF13CSHJwtEeKGwMIMCzJEj7UGOAS4s2uA2wOBhgsQSo9NmTJFihcvrgLcz8/PKf1BZvO7qjWVJhVry8+Lxmnm8yU7omTFznXqlv5gw26SJwddqVPCJHnBpOPIkSO2BGywinOiQQghxJOFtinjheeMNdsal03IzaDwJsSNgesSrMxGgBuRCwHuKheBatWqaamxNWvWyLZt2+TgwYPakHwNSdhgwXcGeXPklqdb9pZO1ZvLZzOHybKda+S3ZRNl6voF8lSL3tKuSiO6haUAvheTZwAeFzieTMBGCCHE3TGlvOAybm/RNpU/6DZObhcKb0LcHJz8IXYgthF/awS4K10cIMoaNmyoIhwCfMeOHbJv3z69qHXq1MmpfSztW1wG93pdFu+IUgF+4GSsvDHpaxm3eoa80OYhqRxQ1ml9c8cEbAiDgABnAjZCCCHukAwNVmwI7HPnztlitK1C29XKuRL35bZMYr///rtMmzbN9vjFF1/URDv16tWTvXv3pmf/CCGpBBcFiB64cqPMF1zO4QaMi4ipBelsYJlv3LixdOvWTa3gcDk3FzNc9LBo4AzQh0blI2TcgK/liWb3S65sOWXdgW3ywM8vyntTv5eT5045pV/uloANYhuLPgcOHFA3dExmCCGEEFcB8yHMi5AsNDY2VnXL/v379T6EN+ZOmEshiahJYEvRTZwqvD/44AObNWP58uUyZMgQ+eSTT9Rl9Jlnnkm3zhFCbk8E4YJRsmRJjQPHRQYCHMLWVcBCXbNmzbSPhk2bNsm4ceNkwYIFtpj1jAalxfo16CITBw6WtlUaSaIkysTo2dLx24EyauU0uXz1ejkQkjyId8OEBXHgJ06cUAGORGywHhBCCCHOANcgeATGxcWp0IbH3aFDh1R8A3gNwjCABWRcvyi0iUu5mmNlKDg4WO9PmjRJunbtKo888ojUr19fmjRpkt59JITcQQkyXEisGdBxgXHFLNS4AGKRAG7oMTExUr58ealevboKuYzGL7+P/K/z09ItvLV8OuNn2Rq7Wz6d+YtMiJ4lz7d+UGoHVc3wPrkTsBBg8QcWb5SSw7E15fBcLfkfIYQQz6ylbeK0jfs4MK7jrjgPIp7PbVm8MZGHFQPMmjVLWrZsqfcxkDGxJ4S4Dli9RQbxEiVKaOwtfqNwB8aFyZXAoh3ivdFPCHAkYhs7dqwsWbJE3b+cQfVSlWT4Q5/Ia+0fk4K58snOY/tlwIi35fmxn8ih+KNO6ZM7geRrsCLgeCKrPSzgWABCTDghhBCSHuAaA6GN6wvCnGDRRoP7OIS3cR/H9QgeuxTdxFnc1siD0H7ooYfUGrV9+3Zp166dzVW0dOnS6d1HQkg6gIUxuJ7j4nPy5El1u8LFCBchV8mAXqRIEWnbtq1eOFevXq2uYFu2bNGV6qZNmzqlT1kyZ5Gu4a2kReW6MnTBaPlr9UyZt3WFLI2Jlt71Oknf+p0lV7YcTumbOwCXPYwxkwEdxxSLtwg3YAZ0Qgghd5IUDdZsLM7jPuYKuKbA4MBa2sQVua0RiZjuunXryrFjx2T8+PHi4+Oj26OioqRnz57p3UdCSDpnQEfyNSRhw8UJ1m8IIldJwAawQNC+fXu56667xN/fXxf5DMZtLKMpkCufvNT2YRn1yOcSERgqF69ckp8WjZWuQ56Q2ZuXudT354pgAoSxB9GNY4gSZLCC4z6/O0IIITcD1wmIa1i1rUnRTCJPuJDDoo0GQwNFN/EYizcsFd9+++0N299555306BMhxMHgggTLNzJ24iIGCzhuYZmEGHcVILohvq2sXLlSL7hVqlSR0NBQtaRmJOWKBsoPvd+RuVuWyxezf5PYU3Hy0rjPVIy/0OZBfZ7cOgP6lStXdNEHnheIB0fDZIkQQgixWrVhHDCL7rh24DoCoU2rNnE3bjvIARP1X375Rd1AQaVKlaR///6aQIcQ4h7A1Rxx3xBCSICFJGyunIANF2H0Ee5k0dHRsnHjRqlataoKcFyEM9JzoEXlelK/XLj8vnSi/L5skqzeu1F6/vic3BPRWh5r0kMt5OTWGdBxLJEBHSIclgos7LrS4g8hhJCMjdWG2IbQRjM1tXHNwEI75ieEuCu3tUy0aNEijeX+5ptvVICjDR48WMqUKaPPEULcC4hWlAO0T8DmakmwsFCABGwtWrRQgYYLNGLBR48eLevXr9eV8IwEsd0Q2eMf/0aaV6oj1xKvyZhV06Xzt4Nk3OqZcvWaayWwc+UM6JhUIWknXAdZgowQQrwDLKhDYOO8b5KiIRQJxgATHodFWXjouaJBgJC0cFsjeODAgdK9e3f5/vvvbaVh8MN5/PHH9bkNGzbczssSQlwsARvEN4QRXNBdJQkW+oFFvsDAQNm1a5fmloCbPFzQsVAQFhaW4X0KKOgnn97zokTu3qDlx5D9/IN/fpDx0bPkhdYPSo3AyhneJ3cDVm40awkyLK5gwsXJFiGEeK5VG48BrdrE07mt2Qxq7I4bNy5JPVbcf/bZZ+WPP/5Iz/4RQjIYs8IMsY34W7gBQ9jiYuhKMbiI6woODpagoCCt/b1582apXPk/gYu+Y4U8I+O/apWpIqMe/ULGrZ4h3y8YLdtid8tDv78urUMayFMtekuxAr4Z1hd3BePMCHAkzTE1wBEOwRrghBDifsAbzWQgx7UZQtvEauN8j/M7Y7WJN3BbwrtGjRoa212hQoUk27GtWrVq6dU3QogTwUXQuHeZ+G/c4nFGxlOnpp84F5UvX95mlceK+pw5c/Qij/MVBHpGXdSzZs4iPWq1l9ahDeW7+SNlQtRsmblpiSzcvkr6N+gqD9S9W3JkZQzzzcBxxCKPtQQZxp3JR8AJGiGEuL5VG9dgnMNR7suED9GqTbyZVAtvxE8annzySXnqqafU8l2nTh3dtmLFCi0z9tFHHzmmp4QQp4CLJEoGQvAY8Y2LKYSQK1kgra7wWFFHwwV/4cKFsnbtWgkPD1freEa5zBfKnV9ea/+YdK3RSj6Z8Yus3b9FhfjkNXPl2VZ9pUmFWi7jvu+q4PvBOEMIAY4l4v4wWYMAZzZbQghxPau2Edq4jzBUWrUJuQ3hjbhJTIKs9VZffPHFG/br1auXxn8TQjwLrFDbx39DeEMYuZqARB9xHtq0aZMuGmKxYN68eTYBjvjwjOpzRf8g+aXv+zJr01L5cvZvcjD+iDw39mOpE1RNnm/dX4KKlMyQfnhCDXAIcFMDHJM4xIBju6uNP0II8Za62mgQ2hDcJgM5vOLgtcT8HIQkJdW/iN27d6d2V0KIBwOhbeK/kYXUFeO/AS78WDBE3DfKjkGAI1599uzZ0rp1aylVqlSG9QXCsHVoA2lUPkJ+XTpB/lg2WVbsWifdhz4j99ZsK4827i75c+XNsP64ew1wI8AxBvEYFnBXXAAihBBPAsLaPlYbVm0swsOqjXkAz8OEpIPwhoXIHiQzQtp/k40Q4AeX3L6EEM8Bv3NYlU38Nyzgrhj/DTAZQJx3SEiIiu/Dhw9LyZL/WZmxUp9Roi1X9pzyeNNecndYM/ly9u8yf+tKGRU5TaZvXCyPN+0pd1dt6vA+eJIAx4QPxw/NWMApwAkhJH3AIqfVqg3BbWK1TcUTVwo5I8TVuS0fEJTw6dy5s5YNs7qfm8kOJkOEEM8HF1yTcdqIb1eM/wawytesWVPPV+ZchZi0iRMnqmCLiIiQYsWKZUhfShQqJp/f+5Ks3LVOPps57Hr5sWk/aO3vu0s3kBpSI0P64e5gjGEByAhwWGDwGHXBKcAJISRt4PporNomVhvGNQhwWrUJuXNuK8sBEquhji5qrWJyAzfORYsW6cR1wYIF6dAtQog7gYsx4r9LlCihItxYIa05IVwF64QB5aowwYAVfMqUKTJ9+nQ5duxYhvWldlA1LT/2YpsHJV/OPLL9yB75bOUIeXXilxJ7Ki7D+uHuYEKIcQfrC3IPHDhwQI8p3NFdcQwSQoirgIVLnCuxeI5zJzxZcYvHOH9ino/FTJxjca2n6CYkg4X38uXL5d133xVfX191+cOkp0GDBvLhhx9qxvO0gmzopUuX1lW02rVrS2RkZIr7YiUO7122bFndH+XLZsyYkWQfvBZODPZt4MCBt/NxCSGpBBfogIAAKV68uLqhIf4bFnBXBf1EEraKFSvqOQKTjUmTJsmsWbM0fj0jy49NGvitdKneUjClmb15mXQZMkh+XDhWLly+mCH98ASQyAcWbyPA9+/fTwFOCCHJJEXD9Tk2Nlb27t2r50rcx/Ua126UEsW5FPNsV/NeI8TrhDdWx/CDBBDfqLEKENu9bdu2NL3WmDFj5Nlnn5W33npLoqOjVUgj8RGs6cnx+uuvyw8//CCDBw/WGPPHHntM3d7XrFlj22fVqlU62TINyZTAPffcczsflxByG/HfiKOGFRwXebigm7gwVwOr+A0bNpR7771XypUrp/3HRGTChAkq3jKKQnkKyCvtHpHX6veX6iUryYUrl2TowtHS5bsnVIhTOKYeCnBCCPkPhFXBCw0LyrBoo6E6BK7NANUhYNXGLYQ3rdqEuFCMd2hoqKxbt07dzWGh/uSTT9T95Mcff9Q6uWnhiy++kIcfflj69eunj4cOHSrTpk2TYcOGycsvv3zD/sOHD5fXXntN2rVrp48HDBggc+bMkc8//1xGjBih24oUKZLkb1BbHBbyxo0b387HJYR4ePw3wAp/kyZNNBM6FgEh0MwCI0DfMyJze8n8ReWHB96RudtWyNez/1CX85fGfSY1SlWWF9o8KBWKlXF4HzxNgGPSCQGOxhhwQoing5hsxGanVOoLOU8gsgkhbiC8YXXGDxnA7fuuu+5Si5GPj49asFMLTgpRUVHyyiuv2LbBdb1Fixbqzp4cOInYT35h1ViyZEmK7wFBDqt6SpMsk7HRAPcbgJNURlnpzPu4qlWQOB5PHQP43aHcE36nEOD4fUEQ4bErCh8IMyzSYeJiEkVCsMECjgU8CHMsJjgC83547xYV60qDsjVk+PK/5fflkyR632a576fnpVNYC3mscXe1kJPUgXEGoQ0BHh8frw3HEALc1cahp54HSNrgOCBpHQPYD3NeePZAaNuX+rJfbGQiZNfHHCNvPlZXr17V5srnwrT0LVNiOvndoT4uJtdpmcDARR0xlsuWLZO6devatr/44ouycOFCWbly5Q1/06tXL7W2Iw4Tk+C5c+dKx44d9aBYxbNh7Nix+jdwq0HsaXK8/fbb8s4779ywfeTIkXqiIoR4N0i4Brc8gHMcLPlwo8dkJiM4kXBKxm+bL6sPb9HHubLmkLuCG0jTwHDJktn1vAcIIYQQQryB8+fPq9aEZye8JzNEeN8OtyO8MQGGazoyEGMCDPENCzlc07HCZw/ixTE5xv4pkZzFG/GpcXFxt/wC03O1BLHoLVu2dLk6yCRj8KYxAMsjfmc4SWFVHi5vsIK7Msg7AQ8dxAoDWBGQlK1q1apqNU0PsICIhUXkukjOHX/Nvi3y+axfZduR3fq4tE9xebpFH6kfXD1d3t9bs/niMggLOM73WGyF55Wz8KbzAEkZjgNiPwbsS33h3IXH8JDC9RP7MD7bs7jVnMAbOPtvmVAYO1wVzGeR8yw1wtupM110EgMJJX2s4HFK9XQRvw1rN+ItkSQCVmzEgicXW44ESYj/hovozUCsC5o95iSWkTjjPYlr4Q1jAJ8PYhX1s038NyYQzhY9N8Pf31/DarBguHr1aj1Pbdq0SXbt2iU9e/ZM14siXiu514soEyojHv5E/l47T76d96fsOX5Qnh7zgdQPriHPtuorZXxLpFsfvAHjgonJDSayOKYYl/DewmKQMyc63nAeILeG44Dg2ojzEwQIFqqxcI3rpLmOuuo1k4jD5wTe9NmzufB5MC19c+qvFROe8PBwdRc3YOUOj60W8ORAnDes5TgBjR8/Xt3N7fn111/Fz89P2rdv75D+E0LuDCx4mfrfJgM1JhiunHkai30dOnSQNm3a6EIgrN7WC6Kj45DgWt65RkuZNGiIPFDnbi1HtjQmWroPfUY+mzlMTiecdej7e3IdcDRMbBFWgEzoiAXHNYYQQjICXPtgWMJitDFKocwlvD1xbcE1E7kpTKkvim5C3Aun+3Yi6VmfPn0kIiJCatWqJV999ZUmbjNZznv37q0CGzXCAdzPMSlCgiPcIj4bYh3u6VawDcIbr+3qLqyEeDNwi4N10QhveLLAbQePMyqG+nb6jHAULBjgXGPAOQkLh1WqVNHqD45coc2XM48806qvdAlvJV/M+k0W71gtI1dOlX/WL5THm/aSTjVaqCgnqQeTWIxFHFNMfhFWgMmtmei68oo7IcQ9weIezjdoxqptTaaFBUGeewjxDJyuSLt3764reW+++abExsaqoJ4xY4bNlx9J0awrejgxIas63DtxMkJZMZQYg8uqFbiY42/79++f4Z+JEJJ28Ds3ZZ5M5mn83p3t8nsrAW7t244dOzT+Dq7oGzdu1PjvypUrO3TSFOgTIF/3fFWW71yr8d+7ju2XD/75QcauniHPt+4vtcpUcdh7e/JYxDg01idYnhASYQR4cqFJhBByu6W+8BjXE1wrsNgHg5ER37RqE+I5OF14g0GDBmlLjgULFiR5jDI/mzdvvuVrtmrVyqXdVQkhyYOJB1y4Tf1vWL8hbt0hlq1Ro0ZqBUcSNvQ7MjJS1q9fnyECvG7ZMBn1yOcyPmqmDF0wRmKO7pXHhr8lTSvUkqda9pFShf0d9t6eCibCGHeYCGOSjEViLAhBfCOBCrYzkREh5FaYpGj2Vm2TZwLnE55LCPF8XEJ4E0KIPUbwQOSgXCHc0GFpxDZXBQsDwcHBmuwxJiZG1qxZYxPgSPZ49913O/T9s2XJKj1qtZc2oY3kh4WjZdzqmTJ/W6Qs3hEtvWrfJQ827Kou6iRtYEKMcYeGCbNJCGhqgdvXxyWEeDcw/Bihbepqm/wfJimaq3pyEUIcB4U3IcRlgZiB8IawgdAxggePXTnmDQK8fPnyKsKNAK9UqZLteVg64G7oqM9QMHc+eantw3JPRBt1P4cb+h/LJ8mUdfOux39Xb87637cJrFNoiMvEYhAaxiMEuCuHRRBCnBOrbaza9JAhJPVcS7wmFy9fkhPnTsnlzNfEXzzDa4/CmxDi8mDiUrhwYRU29vHfrux+bhXgVrZt26Zx4HBBDwkJcZgADypSUr7t9YZmPUcCNpQf+9+0oTJ29XR5rhXjv+8ExGBiUciUIkOspknExmRIhHiPVdsaq02rNvF0rly7KgmXLsj5Swly/tIFuXD5oly4fEkuXr4oF69c0vsXrlxU0YznLl25LBevXJZLVy7JxauX5bL1sd6/pK+XcPmCJFy6qLfmdQ0tK9eT4U9+IZ4AhTchxG2AqzlKBJr4b1gbzQTHlS0J9osDSA6JydqqVatsMeAQ4I5YRMD30qBcuNQOqqau5z8sHCM7jlyP/25SoZY83aK3lPIJSPf39bZSZCYTOpKEwroFUW5K/rjy2CSEpM2qjXO3WWzDfVq1ibtx+epliTsbLyfPnZJTCWflVMIZvT2dcEbiE85oWdLrj8/aBDYaBDKEsjPEvqdA4U0IcevyY4j/dvXyY/agGsPOnTslOjpa+24EOEqQWcvIpHf8d8/a7aVtlUby46Ix8teqGbJgW6Qs2REt3Wu2lYcb3SP5c+V1yHt7WyZ0uJhiXMIzA6IciZPwnCt7ZxBCbsT8niGwEasNsW2s2vB6MRnICXGV8QrX7EPxR7UdPXNc4s6clLhz8XL8bLzEnT0px8+eVFF9p6Bcaa7sOSVXthySI1sOyZktu+TIml1yZv33vj7OITmyZtP72bPgcTbJjsdZs0s2vb3+OFe2nJItMYu+TsF8+SVX9hySPXM22btjl873QiqHiKfAswUhxO3Lj5n4b1cvP2bte7ly5aRs2bJJBDiyoaM0Ys2aNR323oj/frHNQ9ItvLV8Oft3dUP/c+UUmbp+vjzauLt0DW+tIp3c/sIQPDPQTBy4WRjCsXX1/ASEeDtY/DRWbROrjd8yzttY3MViGhfRiLOA6/aBk7EaOnbw5BE5CJF98ogcOnVMxbbVRftmZM2cVXzyFpACufLponvBf2/xuECuvJJfH+eRPNlzS+7sObVBaOfJkUvvZ8uSLVULAfjtmGvepUuXdJ6D39b1Fi9nEhJ07gYQllez6fUQOHiRTV6zVgIDAym8CSHEVcAJ3dfXVwW3u5UfS06Aw5XegIuRmew5Iv57cK/XZVnMGvly9m+y89h++WTGLzJ21Qx5umUfaVgunC6T6RQHjgkEJhmHDh2iGzohLgbEgSn3ZbVqYzt+w1hEw/WFkIzk5PnTsuvoPlmyf60sOrFR9p04bBPbSDyWEpkkk/jlLywBBYtKsfw+4pu3kPjkLSg+eQvpfd+8BcU3XyHJnzNvulx/cH07evSozr1gBMFilWn4PaHKS9OmTXXfLFmyyMaNG1N8LavHH+Y+SEqLa6UnQeFNCPEI3LH8mL0AL1OmjGZAN0CIIyu6qQPuCAFeL7i61AqqKpOi58j3C0bphf3p0R9I7TJV5ZlWfaV80dLp/p7eBo4vJu72bujYZtzQXd1LgxBPAmLBJEaDQMAiJyxzAOdZV0/cSTwHxC/vjTso24/s+a/F7pHj5+JT/Js82XNJoG+AlCzkLwEF/bQVx20hiG1fdd9OT/A7gWED1y0IbHh9YE5ifktTpkxJ8W+xkGXIkiWL1KhRw5abx9owV7P/zTVo0EB/n54EhTchxOPLj2ES5Q5xeNbVZ1zMDh8+nCQJW5UqVTQJW3oLcMRqdYtoLa1DG8iwJeNl5MqpsnL3eun14/PSMayZDGjaU1fKSfq6oWNCYhaIIMDpwkpIxpX7wrkV51lcG3BOdfUkncQzkpohuenGgztky+Fdsu3Ibtl1dL9cuno9b4A9/gWKSKFseaVqmUpSpkgJKe1TXEr7FtfrsSPHKhaJly1bZhPb8NiyUqxYMZvwxu+naNGieovrGOZguJZh3oVbzMeshIeHizfj+jNRQghJh/JjwJ2sGOhn586d1QUdVnAsIKAEGQQ4xDcSsaW3NT9fzjzyVIveGv/9zdzhMnvzMpm4Zo7M2LhE+tbvJPfX7aiJVMidg0mKyYYOAQBXPUxyzDGFyx1jwQm5fYyHCYR2cuW+6GlCHD3+9p84LBsP7VChjbYtdrdcvnrds8IKkouVKxooFYqVlnJFS6unWbBfKcmRJbt6vsFKnJ5jFdcdXG/gfXX8+HG9xbWnWbNm+jxE/d69e5NYqzF/Qp4SNB8fnySvd/fdd6db3zwdCm9CiFeVH3Onki/WGHCUIIMAxyICbiHMateu7ZD3LV6oqHzc7XnpuW+LfDH7N50wfL9gtIyPmiUDm90n7as2lsyZ3GMBwx2OsXG1gyiAGx84cOCAFCpUSCc7GMfuMF4JcdXEaCz3RRxNwuWLsungDlm7b4us3b9Vr5unL9zoJo3EZSEB5aRyQFmpUKyMCu0ShYome01N7yonsGLDkw7zCIhvK7gGWYHYx/UJ1yEksnWXqjGuDoU3IcSryo9hddfdyo/h4odsnxDge/bskQ0bNqjbuQEXUUws0zsJSVipSvJ7/49k1qalagE/fOqYvDV5sIxaOVWeadlXapb5rw/kzoEVzhxDk7AGlnGMXxNCQQsdITcmRoNVG4mc0JgYjWQEJ87Fq8Bet2+rrNm/RbYe3nVDvensWbJJRf8gCSkeLKEB5SS0eHkV2Y5a/MEiE+Y4cXFx2rAA1aZNm//6fOKENnO9geUa3oG4RcPvxvStYsWKDumjt0PhTQjxuvJjJvYblhF3EjO4ICIBG5r9KjYyZsM6HhYWpp8zPd8Tsd9NKtaSUSunaQz41tjd8ujwt6RR+Qh1TS/jWyLd3o9cBwtDGJemJBnGq4kFx5hlPCrxVkx4hjVWm4nRiKM5duaERO/dLKv2bJCovZtk7/FDN+zjl6+wLliHlawkVUtUUPdxR5fnhEv4/v37daEWohri2Qp+H7h2gGrVqmmYGkQ2PAF5Dcl4KLwJIV4FVnnhfm7Nfg6BAzHjjhchTDhxoUXbvn277NixQ8t3QIBjJTu9yJE1u/St31mTrf2waKyMXz1TFm1fLUt3REuX8JbySKPuWrKEOKYkGY4vJlDHjh1TUQGXWSywGM8Ndxy7hKQWY9WGBQ9xp3AhZ2I04kiOn42X1Xs3StSeTbJ6z0at+GEP4rAhssNKVdRbJENzpDUb5/8jR45opROzuAQvOFz7DfgtoMRqkSJF9NZqWChZsqRD+kZSD4U3IcQrwcUpICBALSbG/RxixqwMuwuYeLZv314vxmvXrpV9+/ZpQja0wMBAzSBqnwjlTiiUp4C83PZh6V6zrXw95w8V33+tninT1i+UPvU6yf117pZc2V2/hJu7gckcxieaiWNFrJ5xRTfZY90hez8haSn3BaEN0Q2xDbGBxVNatUl6c/bieYnas1FW7Fonkbs3yO64AzfUx0bys4jSoRIeGKpiu0Aux9SYxkIr5iY4xyPfByzaVmt2iRIlVFSD0qVL2/LZoOG3wUUo14VXaEKIeHv5MYhwuPIiVtqdyo9ZQTmP1q1b6yICkq/t3r1bXdBKlSqVrsLbAPfyr3q8qpaAr+b8LpsP7dQEbOOiZsmAJj2kQ7WmkiWze7jwuxvGQ8NYAjFBw7iF5c+UcTGu6oS4CxjLENqI07ZatU1iNIRZUFCQ9ALZxZEATYX2rnV6/2ritSRCu3yx0hIeGKJiu0apypI/V16H9MV4rZnFJORxWbly5Q374byPa731d4AFdjTiHrjXzJIQQhwARLaJeTLx37iw4SLnblYVfI4WLVro59iyZYvGfRtgDcfnwmp5ek1gMSH548GPZfamZTJ43gg5FH9U3p3ynfy5YorGf9cPrsHJsgOB9Q/NlE7C4hGOvVWEw0pOEU7czartTvk3iOuDcyTislfsWivLd66TqL0b5fylC0n2KVXYX2oHVZVaZapJROkQh1q0cZ6OjY1VqzZa/fr1bflbYM3GddMsmiMu29/fn9ZsD4DCmxBC/gXuWlhNdtfyY1ZQAqRevXpJJrlIwobPhNhvJFlBLHh6LCygDAoSsDWtWFvGrpouPy8eJzuP7ZcnR/1PapauogIcpVOI48D4xPhFw7GGgDEZbLHNeHagudtiEvGsDOSm3Bet2sTRnLlwTiJ3r5flOyG212plDisFc+WTWkFVpXaZqlI7qJoEFPRzWF+wsBQTE6MiG4Ibj61gmxHexYoVk759++pvAXW8ca3mIpRnQOFNCCEWcKGD8DblxyBcEP8N6wusMO4KErMgFgxWcHym+fPny+rVqzVJS/ny5dPFtT571mxyf9275e6wZvLLkvEyOnKaZoC9/+cXpHVIAxnYrJeUKFQsXT4PSRmTfA3NiHCUlsHYNlmfMZ7xvLuFVBD3O++YDORwIWcGcuJIrl67qmFP14X2mhvcx5FhHEnQ6patpkIbdbSTq5+dHotMmDcgH4dJcorz8PLly237QEhjoR+WbDQkQzPgN4GW3nW8ifPhFZcQQpIBF8WCBQuqQIH7Lhomj+7q/ohJbp06dTTb+ebNm2XTpk26sLB06VKJiopSNzesqqcHiIN7pmUfTcD23fxRMn3DIpm5aYnM3bJCukW0kocb3qNJ2ohzRDgWXpALAJZwjGfjju7OC0vE9dzHIbRh2YaVG2CRB2OMGchJemcfh8hetnOtrNi5VuITziR5vrRvcakbFCZ1y4ZpvLajkn9ivKOs58GDB7XBowOx161atdLn4XUUHBys3mgQ2vYZx4l3QOFNCCG3EKzIFAorOAQLEllhAumuk0cIrBo1aqile9u2bbJ+/Xr9TCZZV3oCt733Oz8lD9S9W76ZO1ytEKMj/5Epa+drBvT76nRgBnQnifDkYsIxpo0IZ4kykhrMYg4ahAcahLZxH4fQxrmTVm2SXly5dlU2HNguy2LWyNKd0bL18K4kz+fNkVvjtOuWrS51HOw+jvNoZGSkZh3HedSK/ZjH+bRp06YO6wtxDyi8CSEkFRjXXHcvP2bA4kFISIhUqlRJy5UgpsyAiQQsVRDnWJ2/U+DON+S+N2XlrvUqwLcc3infLRglY1dPl0cad5eOYc3VBZA4JybcxN6a7OimNjIEkxnjdEkn9kLbuI/jPlxiWeqLOIpjZ07I0pg1atlGFnLEblup6B8k9cvWkHrB1aVKifKS1QEVNTD2UUcbC/C4bprzKEp5GtENKzbKlBYvXlyvqTxvEns4IgghJJVgMonkP1b3cxP/7a4XWHwmlBwzYBINN3TEYW7fvl1d5apUqaKTiDu1gMIKMbzMxzJ78zIZMu9POXDyiHww7QcZsfxvebxpL2lRua5D4u3IzTGx32gAxx7j4OjRo/qccQ+GoIIIx34UVt4ntLEYZyzaENpmbDBXAHFEqa/1B7Zdt2rHRMv2I3uSPF8gV161aNcrCxfy6uKTt6BD+gF3cSxMo8F9HCEUGPdIgoZxD5CoFL8HCG6zjZCU4JmSEELSCCaZWNk22c8hvt21/Jg9EFXt2rWTdevWaR1w05D4BQIcE447+YyaAT2kgTSrWFvGR82WnxaNlX0nDsvL4z+XikvLyKBm92ssHt2cnTu+jZCC8LJaw032aeMBYoQ4j5dnYBZdcMwhtE2MthHaJiSBsakkvTl6+rgs23ldaMM76uzF80lqaqMyRr3gGlI/uLqEBARLFgdYtQ3IPo5rIKzbVjD+Yc3Gb8SIbNbQJmmBwpsQQm4TXHhhCUbSFLifI1kZhIi7r3oj0yoSwsCiv2HDBtmxY4e62M2bN0/Cw8M1RvxOyZYlm/So1U46VGuqNb+HL58sW2N3y6CR70lEYKgMan6fVC1RIV0+D7l9sMhiXNKNMIMQw4QULuomYRaEOASZsZxTiLs+JsQAIsKU+DJZx7HgYlzHKbSJI7h89bKs279NhTbcyGOO7r2h1BcWYSG2Ydl2REJO/AawoAiLNgQ0ruUAvwEjurHoXLJkSSlRooTed/fFdeJcKLwJISSdyo/hAg4LOG7dvfwYQFb3hg0bSkREhGZC37p1q5YeM0CYQ3jh898ueXLkkkca3yv31Gwjvy4ZL2NXzZDVezdK32GvSJMKtWRg015S1u8/V3jiGtZwjPebCXE8bzKlQ4jTFdm54NhYrdmIz0bDNjTrscMiC8UFcQSxp+JUaC+LiZbI3Rvk3KWEJFbtkOLBUl+t2jWkkn+QQ6za+A0g+7hxIceCuSE0NFRvEX7VrFkztW67+0I6cS14JSSEkHQAFiHU6zTu56b8mCckGoKIgqW7evXqST7LihUrdOKCMmRIxAb3+9ulUO788myrftKz9l3y48KxMmXdfFmwLVIWblsl7ao2kkcbd2cNcDcR4mgY/8ZqapK1YTEKtxB3aLSiOtaSbRZFcB6CNdscG2Dis43rOD0UiCO4dOWyrNm3+d8M5Gtk17H9N5z3EaMN9/E6sGrnzu+wviAkbMmSJXL48GE9NxlwjoKXF67VBpyrypYt67C+EO+FwpsQQhxUfgwCHKvpnlK71iq6EfNpLGU7d+7UhtqkEOBwy7vdz+pfoIi8dfdAeaBuR/l+wUit/T1t/UKZuXGJdKzeXB5q2E2K5r99gU8yRogbKxEmuBgncGFGoiKMFwhuq2XcWMTxGLfu/jvJKPBd4ndoRLZxGUez/j7N4oennIeIa3PgZKy6jkNsr9qzQS5cvpgkxwfis69btatLpYCyDkmoifNObGys/g5wPQIY+0Z0w6XcuI8jKZq7e6cR94HCmxBC0hlMbLF6jgs9hDfccLHabkSGJwDxdNddd2nsN+LAd+3apZMaNGR+h3v6nVgMgoqUkE/veVE2HdwhQ+aPkhW71sr4qFlaA7xbRGvp36CLFM7jmEy2JP2A6LNmTAdGFEIgIku21TKOcWWSthmBbpq7e47cLub7QjNC22QaN9vxHeK8Y/UwoMgmGQGEddSeTbbEaEiWacU3b8HrGciDq0vtMtWkYO58junHhQtaT3vfvn3qiYXfh4+Pj014Q1yjjjY80woUKMDfBnEKFN6EEOIgMAnGBR5uayb+27ife4qbLZLNIBauVq1aWoYMceBYZIA4SA9CipeT7+5/U6L2bpIh80bK2v1bZOTKqTIxeo70rN1eetftKPlz3X6MOcl4MPbtxz+EoxGYGD8mi7YRk9jfxB9DVOKx2W6aOwpzY7U2n980nCcAhAT2Mc/jvvU7QWNMNslIMAb3Hj9kE9rRezfLxSuXbM+jhna1khWl3r9iu3zR0g4VubjuwOMK9bStYAEPItss7AGERRHiTCi8CSHEwUAwmPJjxvqNCTMsUp4yYcZnq127tmY8RymW4OBg23NbtmzRkmRIXINkNbczCQsPDJFf+r4vy3eule8WjJTNh3bKME3GNl3FN2LDkaiNuCf4HZgs2skJUzRjIcc2+7+zinOrMDfNiFXrY2u7U9An+4YJf3LNLDAY67UR3qYBc4vnIaxNTDytdMQZnLuYIKv3bFCxvSxmrRyMTypyi+X3VZGNVrN0FcmX87946fQEvxt4VcFF3PwWjh49ahPdENpIjIbGDOTEFaHwJoSQDAIr8IiDRnwZBLinlB+zAoFQqVIl22MIEFgkYO2H9Q6Z0kNCQqRcuXJpjqvDRAsTO5SYQeK17xeMkpij++S7BaPkz5VTNC4cJcpyZ6cA9xRwzK11xa0YgWuEq3Ffx30jzs3k3NzaC2/znFWY30yMW0W/vbg2/bH2zSqmrZ/JvI+xWtsLa3wmAG8ZT/GOIe4Dxu6OI3tsQnvt/q1y5dr1xHwgW5asUqNUZT0fI167jO9/Qji9OXv2rLqPoyEbOX4bXbp0UTdyULFiRS3rCZfyO6mwQUhGQOFNCCEZCCYnEN5W93NTfswTV+fxeVu2bKnie/v27ZrteunSpbJq1SqpUKGCVK5cWWPC0/qaTSvWlkblI2TWpqXy06K/ZM/xg/LtvD9lxIopagHvXrOt5MruOQsa5EasgvlWWIWwuTXbrfet4vlm72t/a+2LvTXdE3/XxPOIP39GVu5ap2J7+c41Enc2PsnzqCqBRU8I7ZqlQx16foVX2LZt21Rsm3raBoRqwfPFCG8sZqMR4g5QeBNCiIuUHzNWLk8Dce716tXThGsQ3xDhmFghKRsWHVq3bn1br4sar22rNJJWIfVlxsYl8uOisbL/xGH5Zu5wGb58svSt31m6RbSRXNlypPtnIu4FRTAhSbly7apsPLD9X6G9VsN3EuW/Radc2XJKROlQm5dRqcKOE7cmEz8WoAGuD2vXrtX7+N2iUohxIS9UqBBDLojb4nThPWTIEPn000817X+1atVk8ODBmqQnORDr9OGHH8rvv/8uBw8eVGvJxx9/LG3atEmyH5576aWXZPr06boqhljDX3/9VSd9hBDiquXH4uLidBvOW3jsaZMLfFbEecPVHG7nEOB4bMBkC9nRcW43daFTK8DbV20srUMbyPQNi9QCjpI2X87+Xf5YNln61O8sXcNbUYATQryaQ/FHVWSjRe5eL2cvnk/yfLBfoC0pWljJipI9q2PKbMGrBIuuxoUcGgDXhbp16+rzsGBj7o5YbriQe1I4FvFunCq8x4wZI88++6wMHTpUk/J89dVXavmAewkmova8/vrrMmLECPnpp580pmPmzJnSuXNnWbZsmVSvXl33geWofv36WjIAwhvJFXbs2KErZIQQ4srlx0wcK6zhnlZ+zP7zGuuFFSRhW79+vURFRUmZMmU0Vhyxe6ldgEA23Q7Vmkqb0Ibyz4aF8vOicZoE6ItZv8pvSyeoCzpKkTEGnBDiDSRcvijRKPW167pVe0/cwSTPF8iVV+oEhalFG61IvsIO6wvENmK0jdjGNc4KhLgB10DM4wnxNJwqvL/44gt5+OGHpV+/fvoYAnzatGkybNgwefnll2/Yf/jw4fLaa69Ju3bt9PGAAQNkzpw58vnnn6sgB7CAY3UMFm4DJnCEEOLqGDfYgIAAtXrD/RxlheB+l1xyKU8DC6VoqA2O8jBoWDSFAEcyttQuQiDxT8ew5tKuSmOZum6+DFsyQQX4V3P+kN+WTpT7694t99ZsK3lzXHdrJIQQTwDiduexfTarNkp9Xbr6X2nHzJkyS5Xi5f51H68ulfyD1GPIUcBT1ZpEc8GCBXpt075kzqyWbbMIm9ZcH4S4I06byaGwPawar7zyim0bfoQtWrSQ5cuXpxgDYu9uAovQkiVLbI///vtvtZrfc889snDhQi1d8/jjj6vAJ4QQdys/Bi8eWAZg9fXUBGwG1FhFg8v95s2bVXjj88Orad26ddKjR480fX4I8M41Wspd1ZqqC/ovS8ZrDDiSsMEFvVftu7QWuKNK3xBCiKM5lYCkaOv/Fdtr5OiZEzeU+qqLUl9lw6RWmaoOPd9B+B8/ftxm1UZG8l69etmSDpYvX16FN4Q25uee6NFFiEsKb0yskEihaNGiSbbj8datW5P9GwhqWMkbNWokZcuWlblz58qECROSJCRCfOD333+vLuyvvvqqZs598skn9cfdp0+fFAU9msG4v2ClDi0jMO+TUe9HXA+OAWI/BuBuh8ytWGA0CdhQfgzN0+K/rcDKjZChmjVrak1wXBPgBWBKR+EW53pM3lJTkiyzZJL2VRpL65AGMnvzMq3/jSzoQxeOluErJkv3iHbSs1Z7KZg7nzgbcz3z1ER7JHVwHJCUxgCSom06FCMrdq6VFbvWyebDMXLNkok/R9ZsUqNUiNSB+3hQNSntUzzJ9SK9xxSuV3AhR94OtISEhBvm+yYDeY0aNZL9jCR5eB4Q/exorjw3TkvfMiXeqm6Gg8CPFKtdsGSYZArgxRdfVEv1ypUrb/gbuB/Ccj1lyhQ9iUB8w0IO13TzQ4fARhI1vK4BwhsCPCVL+ttvvy3vvPPODdtHjhxpy7BICCHEOZgST8baDSsKBDkeoy44ssMjRj61ixHXEq9JdOw2mRazVA6dPabbcmTJJg1KhknLMrWlUE7nC3BCCDGcSDgtm+N2yaa43bI1bo+cv3IhyfMBeX2lsm+QhPiWkeDCJSV7FsckRTPgfGzOt4cPH5YjR47YnsN5GSUz4TqOlprFUULcGXhxwLMDeQpuFTLhNIs33ChhzbH+WAEeI5lOciD2b9KkSRrzCFcWWEAQCw7XRAPiRVAX1griA8ePH59iX+DuDgu51eKNOPFWrVplWMwJVktmz56t9W55kvJOOAZIasYAwnRwckfD5AeLgziXehOwqmAhFt8BaryioWQZ3BiRCTc1GdEjJEIeSuwpC7etkmFLx8vW2N0yd88qWbgvWtpXbaKJ2BxZPiclsLIPt3pU+fC240r+g+PAu7l45ZLGZ09ZOVt2njkku+IOJHk+f8486jZeJ6iaJkcrmv+6RdlRoNY95ufGqg1vJJMcE9sXLVqk82Y0zOE5ZtMHngdEF9qxkGPvIe1K2CcKdEnhDct0eHi4uot36tTJ9sPG40GDBt30bxHnDWs5JqkQ1Pfee6/tObgnIiu6FdSNDQwMTPH1jOumPZj4ZrQAcsZ7EteCY4DcbAxgO6y7sPTC/fzMmTN6QYYA92T3cyulS5fWczomfDjfw+0cIhyeTatXr5YuXbqoFfxWZJEs0iKknjSvXFfjI39dOkGi9m6SyWvnypR186V5pTrSv0FXqVAs4xN04ph660SL/AfHgfew78RhWRazRutqr96zUS5cvpgkKVrlgLK2Ul8hAcEOTYoG4EkKkY1Y7QMHDiRxp8Vjk7gYBq/u3bt7zfXHGXjzeSDLv5/dlefFaembU9PkwsqMuGu4hqN2N8qJnTt3zpblvHfv3iqwUbsbwP0cNbrDwsL0Fi7iEOtwTzc888wzUq9ePfnggw9UkEdGRsqPP/6ojRBCPAUIbVh2sRoMDyCsuGIB0VvqnWKSB8sKGsKVIL4hwjFZtJaPxKQRixQ3817Ca2Eyi7Zu/1bNgr54x2qNB0erH1xD+tbvLDVKVebkkhCSLiRcuqACe+nONSq4D5yMTfK8b95CUr5ASbmrVnOpGxwmBXJlXAgMriujRo1Ksg3XFmPVRn1tA8+JhIh7CG+skMFd8M0335TY2FgV1DNmzLC5E2DCZM1gCxdz1PLGBAvZflFWDCXGMKkywP1l4sSJ6j7+7rvv6oocBP19993nlM9ICCGOAhMeuGBBgEN4wwIOyy9EuSuvDjvCg6pixYrakCjTTAThpofyNdiG6wpKkiE0KTkPJ0O1khXl656vyvYje7T02KxNS2VpTLS20IBy0rteR2lasbbDrU2EEM8CoUG74w7KsphotWrbl/rKmjmrVC9VSetpYxEwyKeErFmzRmpUruEwaydCl2DIwnwb79GgQQPdjjk2FitxboXQhls5wj0psgm5M5xeGBZu5Sm5lmPCZKVx48ZaYuZW3HXXXdoIIcQbQI1vk2AMmc8hvrFQiceeXH4sOayiGtZvTBbhFgm3dDQk3oSbOmLBMaFMaUJbvmhp+aDLM/JYkx7yx7JJMnXdAtl4aIe8OO4zKVGomNxfp4N0CGsmubKlLOIJId7N+UsJsmr3Blkas0YX7w6fup7M0eBfoIh61NQPri4RpatInhz/5adwVCZrXB9MuS8YveA5CrBYC+8hc07s2rWrXlsIIekHf1GEEOJBotPPz0+t4Eg4BndBTJxgEfdGSwWsNm3bttUQJmRBR8P3snv3bm3Vq1fXUKebgQRrr981QAY06SljVv0jf62eoS6hH03/SYYuHCP3RrSR7jXbSqE8BTLscxFCXNeqjVKFS3dc95KJ3rdZLl+9Ynse2cZrBIaoRRti277Ul6NBHiV4jVqBZRsWbSxEWvtC0U1I+sNfFSGEeBCYOMHVHPF4EN4QmnBDx+ObuVh7MrD8IyssGuLhd+zYITt37kxSEQMlcVDmEu7oycWD++QtKI837SX96nfR5GsjVkyRQ/FH5cdFY+X3ZZOkQ7Wm0rN2eynj+1/sIyHE80m4fFFW794gS/4NScF5wUrxgkWlfrkaUr8srNqhkit7ToeLf1i14emD1rRpU9u5H/kvcI1AQjQjtq3hmoQQx0LhTQghHghczCEgIcIxCYMLOgQ4rN/eFP9tj4+PjzYk9LS64W/ZskXFeHR0tMaDwxUd2dPx/VnBpLlHrfbSLaKNzNuyQv5YPkk2H9op46JmaoPbaK/ad2mZH2/0MiDEG9h/IlaWxkTJkh3RmiDNGqudLUtWCVerdg1pEFxDAn0CHH4uQMZxLBwiCznENqpdGPC4bNmyej8kJERCQ0M1dpsQkvFQeBNCiAcDd0EITbhdQ3yjeWv8txX7z464b3wvmLxa48FhGYJlHInbkrhhZs4irULqS8vK9bQE2ciVU7UmuEnEFlSkpPSo1U5rgjMOnBD35tKVyxK9d5PNqr33+KEkzxcr4CsNgsN14a1mmVDJnf2/WG1Hs3fvXpkzZ44tVtuc31DxARZthB8ZvNXriTgPeGCgpeZ+ol0zCQA9CQpvQgjxAhj/fXNgEUJDPDgs34iDRNUNCHEI8kqVKtn2vXLlii3+Ed8d3EfRYAUbvWqaTF4zV3Yd2y8fTPtBhsz7U7rUaCX31mwjRfP7OvETEkLSwtHTx2XxjigV2it3rZeEyxeSLLyFlaqkFu0G5cI1xMTR51FUZ0AGcliwIarLly+v27GwCtGNc7sp9RUQEODVnk3k9jCCF+PJenuzlhzW34L9/UyWZr8dC0ZI7odb00z4nKdA4U0IIV4e/+1N9b9vBTwBqlatqg3fDZKwYXHC6tL5559/6sQXlnBYyo0VqWThYvJC6wflscY95O+182R05D9yMP6I/Lp0gmZGRxmyeyLaqEjnYgchrsXVa1dl48EdKraX7IjSkoL2dbUbIFY7OFxqB1WVvDkcKwaQ1RznaYS/YAEQC4FG6Jw/f94mvOHNhPK8EN48rxB7IJ5TaslhBLARvWj2YtgqkO3FdHLNvG6mW2zzhvFL4U0IIV5GcvHf3lj/+1bgO0JCNitIwgbxjVhKNHyXsDCVKVNGkxVhASNfzjxyX50O6mq+aPtqGbVymqzeu1HmbFmuDW7oEODtqzZ2+OSdEJIypxLOyPKda1VsL49ZI/EJ/8VGZ5JMElq8nDQsF65W7QrFymSYMIAoGj16tFq5rSARGs43ONdYSS4hJPEOMFawSGO9tYpqq5BGwzUeDV5buLWKbHtxbRXWJH2g8CaEEC/FPv7b1P+GAE+pvrW3gwnvPffco67oaCdPnrTVxMXkBBmETSKjLJmzqJUbDdazcatnyrT1C9UN/ePpP8ngucNVfEOEB/sFOvujEeLxwGK889g+tWgv3hEt6/ZvlWuJ/4kULJrVLRumQhtZyB1dJhChLXAfR8O5F+UPAQRP4cKF1coN93E0uI/Dqk28c9wixAkNohq3BqtFGt5XENNInodtuMZbrdO4pYh2LhTehBDi5eBijUzemNRBSCIjLi7QcLH25gRsKQGrU40aNbTh+4IA37Nnj7ruFylSJEnSo7i4OHVHL+cXKK+2f1SeaH6/im/UA98dd0D+Wj1TW/VSlaVbeCtpXL6mUz8bIZ7GBZT72rPR5kJ++NSxJM+XLVJShTZatZIVNX7bUSBRFLxmjNjGgqeVhIQEW2gLFvE2bdok4eHhXAj1IoENq7UR2fCuAgg5gJg24hoeDngMYW0EthHXxLWh8CaEEKLA0o1Jn4n/hgDHRR6Nq+TJg7q4mBij4XuD94Bh69ataglHjCa2Q4Cj3RvRRrrXbKtiAAJ8/taVsmbfZm0FcuWVcL+Kkr+Er1TwL+PUz0aIuwJxvXRHtIrtVbvXy4Ur/2VGzp4lm9QsU0WFNtzIAwr+l/U7vYF4sloZly5dKjExMbbnsd3X11eKFy+uzZp1HGErPO96LsZybRpEt7FeQ0jjmoFbjBeEF2A8GAs2cV8ovAkhhNjAhR+Wb4hwJBeDRdfU/2bt15tjFd0ALuf4PpGFGKIc1is0fI8Q4I0bN1YBgOzJE9fM0WzosafjZN7e1TLvp9VSpXh56VyjhZYty8jyRIS4G1euXZUNB7b/60IeJTFH9yZ5vmh+n3+FdoT+5hxV4g8C6ujRo2rVRkI03O/UqZOG9ACIa2wzQhvu4yzx5T2u4rBgG5ENAW3irGHBxjgwj43ANhZvXH+Zf8UzoPAmhBByA1h1hzU3ufhvU0qL3Jzg4GBtmGjBrRTu6LCA43uEN4GxZvnl95HGRatJp15NZOuJffLHwgmy/liMbDi4XdtnM4dJ69CG0rl6CwkJCKYVjBAROXn+tCzfuUaW7IiWZTFr5PSFs7bnMmfKLFWQGK18hApuhHo46neDhckdO3bYhLZ9tugjR47YhHe5cuVs2ciJ52J1Fcd4wNgzSc0gsmG9No8Zd+1dcPZECCEkRTAxQNyyif/GJNOU3aLLW+rAQoVxM8ckzH5yDiG+ePFim2WjnW+EDKrfQ9ae2CGT1s+X/ScOy8To2dpK+xaXu6o2kXZVGkuxAqwLTrwHJEHbFrtbXciXxESrhTtR/qsjnD9nXqkXXF1LftUrW0MK5s7nkBht/H5x/sPCJMAiGsJJDFichCXb399fmzXjOAWWZ1uzEZ+Nx8ZdvECBAiqy4eVkLNkcA94NhTchhJBbgskDaldjEgkBDtdpTCIgFDmRSD1YrMD3aAUlgyDKYRVHciW0E8sj9XvtV6Kl5IkoKAsOrdFY8D1xB+XbeX/KkHkj1WX2rmpNpFnF2nRFJx7J2YvnZeWudWrVXhoTJXFnkyYjK1+0tNQPrqFW7Solyqd7YjRkHY+NjVWrNdrx48dVWIWGhkrdunV1HySmhGeLVWjznOi54PhDZFuFtrFeI/EmXMaN0ObiNLGHwpsQQkiqwGQSlh5rAjZYwJmA7c6AVaRVq1Y6iYO7alRUlE7q4OKPckKVKlWS/9VpoiJkZvQiWbtlvSyP3SSRu9dr+zBbTmlRua5awSNKh2gZM0LcEYiYHUf3yrIYCO01Wu4L8duGXNlySp2gqlIf5b6Cq0vR/I7x+oAXysSJE/U8Zw/Cb6z5LrAAiQzkxPOFNizbxm0cng1oGAsmwzivgeRWUHgTQghJE1jFh1WHCdjSF7gnwkUVFjaUKsPkH1ZwZLQFeXPklvJ5i8uJq/ulVJEGIlkyyaFLJyXm7EFZummVTFk3X3zzFpQWletJq8r1pWrJChrrSogrc+bCOV1AWhpzPVb76JkTSZ4v7VP8X6t2DS27lz1rtnRzG8fCFlzHYc3G+QsJDwEWEk1sLuppw0sFlm00+ySKxLMt2sBeaJtEaISkFY4aQgghtwUmHpiUmgRsEN9MwJZ+wLvAPhETYu1LliypWZNhfQnIUlACChTU5y5cuyyTj6+U0ZH/aCuW31daVq4nrUMbSCX/6xnWCXGFWO2th3fJ8p1rta0/sC2JVTtn1uwSUaaKim1YtUsUShqacSds375dfzsQ2/Y1tBFOY0o6obVp00Z/b1xM9HxwLsVCDG6N0MZCDM7BFNokPeEoIoQQckdgYuLn56dWcJMBHUCAw4pL0o/SpUtrgyUG1jqICDRY7HJfyyxvdhkks7cukwVbI6XEtYISt+2gfL5hqFzLkVnCK1aV5iF1pWKxIIpwkqEcO3NCVuxap0Ibt/HnrydpNAT6BPwrtGtIjcDKkiPr7YtdiGe4iENcI/FZWFiY7blt27apR4kBi4Y4d6HZ514wmciJ54HzJyzaENsYLxDVuI4hYZ4JnWL5LuIIKLwJIYSkC7AYwRXTZEBHYiK4pcNywCQz6QsWNCAU0KpXr64TSSx4wAOhUcWacvHKJRk9doxcOndBSuf007+5uuucjN82Qc5kuiD+xfylXlgtqVE6JN0TUhGScPmirNm7WVbuXq9i276udp7suTQ5YN2yYVInKExKFr59q7YR2Uh8FhcXp7dIUGioXLmyzWqNcl74zUBoo1oDFgeJ97iPQ2jjXInrEcYEzpcmRAqNC5LE0VB4E0IIcUgCNghvJGCD1cm47nFi4zghjkmkARbDdi3bqHXv0OFDcvDQIZHLV6Ro9oJSFHG1R8/LYyPelgK58kqj8jUlvHB5CS1VXooXC1BrDyFpAa7imw7GSOTudRK5e4O6j1++et1tF2SSTFI5oKyKbIhtZCDPliVtU1DEXMOjBsI6KCjI5k2DZIRwIbeC8wws1hDYcB82wrtixYrp8nmJ+7iPQ3CbhGjwcMBii7Fqc0GYZDQU3oQQQtIdTGhg+cYkB8LbJGDDZAeWceJ4YNFDq1Klis39dv+hg7IxZrOcOXVECp7JJ/EJZ64nZSuaWY5s3ad/lzlHVinmV1RKFS8pvr6+KmAY50rs47Rjju6T1Xs2amK0qD2b5Nyl/6zMAHXma5epJnWCqkmtoKpSKPd/9axvBUrsYdEO5w3cwpKNW5PsCotMxhUcXjZ4Do/NeEVjTK53gYUZI7Rx3+o+jmsO47SJK8ARSAghxGHAKoXaprA0wBXaxIAzA3rGAosPFkIqV6ioDTx57RFZt2+rzNuyXOL2xEm+azmlQNY8cu3iFTm0/6A2kKdQPunaqYst7nb//v06mYVnAz0YvEdo7ziyV4V29N5NEr1vs5xKSFpqC94TNUtXkVplqqrQLlmo2C3HB4QSzgkQzkgaiDEFtm7dKpGRkTfsD6slRLdJgmWs2LRkex9YTMQ4MBnIsdiL8YHyjMaqTfdx4mpQeBNCCHE4sDTACgXxZzKgIw4TE21aIZwDYrvDS4dowyR2+5E9smTratm0a5ucjT8tvtnya1uzf5d8+8kkiSgdKnUCq8m5zdeTU2FiCxEEEY6GBRY8pkeD+wM38R1H9kj0vi0SBbG9b7OW/bKCmtrVSlaUWmWqSO2gqlKhWJmblq+DxwXq1MOKbZq1Tnbz5s3VhRyYaglmbBlLNkQVhZT3YqzaJikahLY5DxmrNhN6EleGsx1CCCFOy4AOAY4JFDOgOxeIGQgnNGlyvbbyyl3rZNnONbIz5phcuHJJlsREy8Y926RlwTApnDWvugObrOrWRFb169fX+7BCIfYWYgkNiyyMqXRN4s+fkQ0Htsk6tP1bZdPBHXrM7ROihZWqJOGBlSU8MFQq+gclidOGGII3i7XBEo3a9ADu4gsXLrzhvfHbh7i2ZpGG9btnz54O/czEfazaptSXSYqG8WKs2hg3XIwh7gKFNyGEEKdlQDcCHHHgmDxhMkVx5nzy5cwjLSrX04bJ746je2VZTLQmzpqyf7VcunxZCmXNIz7Z8kmhrHmlaI5C4pejoOw6fUh8Y3dLWb9SatFctmyZ7TVxXHG8jRAPDAy8oYQTyRhr9u5j+2XToRhZf2C7rDuwVfbEXQ8rsJI/Z16pWrKCRASGSHhgiAT7BcrFhAu2RIkAJe2WL1+uIvvChQs3vAYskUZ4wyMC93FrLNkm/paQm1m1MUbgAWGSonGRlrgrFN6EEEKcghHamMQbAQ7XU0yqWILMtY5T+aKltfWt30UuX72sGaxX792kMb9r92+Vi2f+zSoN/bZqlOTMlkNqFqsklXIXl5yJ2eTqxesJj3CM0QAs4EZ4Q8DNmTNHQxHQMMk2t2jYl5PttHP12lXZe/ywbD60QzYf3imbD+2UbbG7tdycPaV9i0u1EhWlSrFg8ZW8kiMxq1YmOHPsjKzdHSnLzi/Q/WrWrGmrjY3fKGrIG/C7xaKKWWApXry47TkI7vbt22fI5ybuA63axJug8CaEEOJUMKEyZV5Ygsz1yZYlm7ocoz3UsJtcunJZNh7cIVF7kXhrs1pSz148L4v3r5XFslb/BkcwqGBxCfUrKyXy+EnBrHkkR77rVlOAkAMsuqBZXdcN9erVk5CQEL2P8bFhwwYdLxDkZvEGVjE0b02odO5igmYaR81sNCRD2xq7S85fuiDZMmUR/+yFJFfmHBKSo4QUyJdX/HIXkoLZ8kqOTFk1RKBWeE19HZTrmjBhQrLvgcUPk1kcQFw3a9bMJraZMJGkh1Ub97nwSjwRCm9CCCEuV4IMAsyUIMNkHhMxbxRT7kD2rNmkRmBlbSYDNlyX4ca84eB22XBgu+w8uk92xh/UZmOVSOE8BdSSXq5IoARWLil+OQtKrkzZ5Py587r4gobFGIwJAyzm9nWbrSDGHELSiMh169bpGDKWM5PtGA2u0CaTNsQARADGoSuMNXtLIGLmtfZwtiyy/8RhiTm8V/bu2iPxZ0/J2fPn9PmcmbNry5U5m1w7d0FFN7wPqhetIGFX/7M+K9dQt+uaXJZLcuXiZdtm/AYRBmC8DazeB/a/QyRGLFu2bEZ+LcSDrNr4/WHRjFZt4i1QeBNCCHEpYFUzybggwGHhNDXA0Tg5c22Q2TqoSEltnao3122wgMPNeePB7erqDGvs3uOH5MS5U7Ji1zpt1r8PKOgngT4BUqqwv5Qs4y+xV+MlR/xRrQ0Nl+WIiAg5f/68inJkx0dDjDHEp4k/Bog93rlzZ4p9bdiwoa0U1cGDB2XGjBk6viAorQ1jslq1aras2xiTq1atUgFhmpXg4GBNEGb6EB0drcLeNFiNzX28f/ny5W0LBf/8849+DuyDRQMrWy4dlAXH1+t9xNb3KNJQfCW3+GbNfcOMrnm5WvJqnSekjG8JuXTxkr4uFjBMw/dk7sNabYAgatWqVVoPOyFJwPg1pb4wzo0HE87rJgM5rdrE26DwJoQQ4pJA8EBkYaIGy6exgJtJG3Ef8ubIrWWn0AwJly+qJRxlzK6L8T0qyM9dSpADJ2O1LbV7nexZsklAIT8plt9Xiub3Fb/8PlLU10dK5iup94vkLaTvZYBFrU6dOja3VmRiN/fRrJZ0Uxsa1jkjGKzgb219T0iQffv2pfh5UfrKCG8sCMTExKS47/HEszJ592KJPRUnZ06dlppS+oZ9riRelcuJV+XMxXO2xGelC5eQ8zmvSYE8+cQnfyEpWrCIFMpfwOZyb9zwAQRP165dU+wDIXeK+d3gdwXRbY3VNqEg1sz1hHgjFN6EEEJcGkzWIKDg7grhDVdjWBExmWNMqfuSK1sOCS1eTpt18h539qRaw/edOHz99t/7+0/EyqWrl9WNPbks3Aa4VhfMlU8K5M6nArUgbnPllQLYliuv5C+YV3JnLyz5smSTw1dOyvF95yRH1uySPXdWadGxjWSRzJJ4Fa6xl1WMX71yVa5cvSI58ueRw6eOaR/PJ16S8tUqyUUV6Je0X5fhDn7tit6ujN0ksw6v1jJdZ8+dFSwTwe0biwoo03UN/xIT9fbE0bMSf/W6oMZ778y6X4V25kyZJMCnqJQo7C+lfAIkyMdfmvi0kFKFA/QzEeJsILAhtM0iFc7VWPBBMx5KtGoT8h8U3oQQQtwCTOpgSbQKcFgeKcA9B7h5F8lXWFtE6dAkz125dlViTx2TgyePyNEzJ+TI6eNy9PRxiT0dp7do8Qln5MLlixKLdjpOXJWsmbOIb75Carkvl7+cutDDgo9bbIPlfueWHRIeHs5s7sRlrdoYmzj3IjTIeCLRqk1IylB4E0IIcSsw0fP19VUBDss3RDgFuOcDsVqiUDFtKQHRfezMSTmdcEZOJZyVU5bb0wlnVZjjFvtdvHxJrc+XrlzS8lp4fPHKZb2PBHEm3hwZBa7nFcikVmjcx/Zc2XNIrmw59RZWdnMft7mz51QLOyzTBXPnl0K58+vt9ZZP3eFvlqsAooa5DIgrYE2KBiCsTRUKU0WAVm1CUgeFNyGEELcE1hU/Pz9NDGUV4JgQ0urinUAAlywMYZ6yOE+NVY+il3grSIRmrNq4D6s2zrXIt2HyByD/BiEk7fCXQwghxK0xk0G4OxoBjozXFODkdqDoJt5u1Tbu46bUF6tJEJI+uIRvyJAhQ6R06dI6capdu7ZERkamuC9W4d59912tG4n9Ud4D5T+svP3223qCsDZTLoQQQohngmtC0aJFNZs0krFhIgkRbp+dmhBCvBlYspFtH+dHLFbiXAlxXaRIET1/lipVSooVK2aL3aboJsRDLN5jxoyRZ599VoYOHaqi+6uvvpLWrVvLtm3b1IXQntdff11GjBghP/30k4rpmTNnSufOnWXZsmVSvXp1234hISEyZ84c22O6xRBCiHdZwI0LOkqRmRhwWsAJId6GtUQerNoplfqiwCbEsThdjX7xxRfy8MMPS79+/fQxBPi0adNk2LBh8vLLL9+w//Dhw+W1116Tdu3a6eMBAwaowP78889VkFuFNlbrCCGEeCeYUKIZF3QIcLigMwkbIcQbS33h3IfEaCz1RYgXCm+cEKKiouSVV16xbcNJoEWLFrJ8+fJk/+bixYu6MmcFJ5IlS5Yk2bZjxw4JCAjQfevWrSsffvihus6k9JpoBrjeALM6mBGY96FLpPfCMUA4BhwDFmJRhgwTTiPAz507Z8vI62qTZest8U44Dkhax4BJioZmLfVlkqLhvtXjB/twfLk2nBO4B2k5PpkS4X/iJA4dOiTFixdXN3GIY8OLL74oCxculJUrV97wN7169ZJ169bJpEmTNM577ty50rFjRz15GPE8ffp0OXv2rFSoUEEOHz4s77zzjhw8eFA2btyo5WfsQUw49rFn5MiRmpyHEEIIIYQQQgixAk866FMs7CPEzaOE97Fjx9Q1fcqUKRqLAvENCzlc0xHDlxzx8fESGBiobu0PPvhgqizeSC4RFxd3yy8wPVdLZs+eLS1btmQMopfCMUA4BjLe68pYwPHdwyoE90tngkVkLC4jcSgsVsQ74TggyY0BWLVx3kLD9B3ePLBk58mTx2bVZk4jz4FzAvcAutHX1zdVwtupv050EieTI0eOJNmOxynFZyPjIqzdyMZ4/PhxdSdHLHhQUFCK7wM3m/Lly0tMTEyyz5tYF3swyDN6oDvjPYlrwTFAOAYyBnzHmLBi4RXiGxdNeEu5QvkcXBspuAjHATEu5NakaJjcm1JfeMykaJ4N5wSuTVqOjVOzKuBkER4eru7i1hMMHlst4MmBlT1Yy3EiGj9+vLqbpwQmUjt37hR/f/907T8hhBD3B5NXLATD08lU08AKNryonOgURgjxUks3jEtYDAQQ3RDZMEiZUl8omwjx7ewFQkJI2nC6PwpKifXp00ciIiKkVq1aWk4MSW9MlvPevXurwEZyNAD3c8Rrh4WF6S3isyHW4Z5ueP7556VDhw7qXg539rfeektXjHv27Om0z0kIIcS1wWIwkrBhQmss4BDgWM3GYi8zABNCHFXqC+7jEN3Gqg1vTQCxzXxDhHgGThfe3bt317jtN998U2JjY1VQz5gxQ1fzwL59+5JMdrAKiFreu3bt0gy1KCuGEmPmBAUOHDigIhuu6HBNb9CggaxYsULvE0IIITcDQrtw4cIqwLEQfPLkSRXiWMCF5Ymuv4SQ9C71hbAXNBPqYjKO08WYEM/B6cIbDBo0SFtyLFiwIMnjxo0by+bNm2/6eqNHj07X/hFCCPE+kKQINcCxyAsBDgs4buHaCQHOJEaEkNuxaptSXzi/mKSO9gKbpb4I8Tw4ayCEEEJuAibJsH5DgKNsCNzPkTsEYU6uWAucEOKaVm2cQ4xVG+cNhq8Q4l1QeBNCCCGpAJNkM3FG2BMEOFzQkYTNFTKhE0Jc16qNRi8ZQrwbngEIIYSQNGBczdGQX4SJ2AjxTmjVJoSkBQpvQggh5DYxlm5YtRD/HR8fr27omGzTwkWI52cgN7//lGK1CSHEwBkBIYQQcodgsg3rt8mEbuLAMVFnHDgh7gtyORirNu7jt2yfgZxWbUJIaqDwJoQQQtIJTMDz5cun7qYmDhwCHK7omLBzkk6Ia4PFsitXrqjYxq2pq12oUCENL8FCGq3ahJDbgcKbEEIIcWAcOCbsRnybeuB0QyfEdYAl27iQ477J1YAFNONCzgUzQsidwqs+IYQQ4kBgLStcuLDGgZpyZHBHxwTfJGBiNnRCMharVRuYDOS5c+e2WbX5uySEpCcU3oQQQkgGAEu31Q0d1m80CHFYv2EdJ4RkXLkvLHzBI8WU+8I2QghxFBTehBBCiBPd0GEFRzZ0WMGN9Q0igRDi2HJfaLRqE0IyCgpvQgghxElACMC9FZbwhIQEFeAAVnCIAlrhCLnzxGgI9YALOct9EUKcCYU3IYQQ4mQgEGCFM2XH/P391RKOBjHBWHBCbl7uCw2/FQhreJPg98TEaIQQV4LCmxBCCHExUA8cVjpYwZER3cSCMyM6IUkTo2ExCmIbYRtWqzYXqQghrgav3IQQQogLAuEAIYEGEQ7rNwQ4bhEPbkoe0ZpHvK3cFxaerLW1IbYZkkEIcXUovAkhhBAXB0IDVnDEgl+8eNEmwiHA4V4LEcJEUcQTrdoQ3Maqbcp9MfSCEOKOUHgTQgghbgKEhil9VLBgQS1LBld0446O5+lqS9wRLCAZoW0t94VxbqzaDLEghLgzPIMRQgghbghczK2u6IgHhwUcDffxPEU4cTerNst9EUI8FQpvQgghxM2BJRBu6GgQMSYpG27RjPWQpZSIK2Qgxxi1xmrTqk0I8QZ4diOEEEI8CIhrNMSEW0W4KU8GEQ6xQ0s4cUZdbcZqE0K8FQpvQgghxAtEOMSPiQk3lnBrTDizo5P0wCq0TV1t5CSAC7lxH2cGckKIN0LhTQghhHgBsCyiGUs4RDjiwWEFhxg3+0AoURiR1IJEaKbUF4S21X0cgpveFYQQch0Kb0IIIcRLLeGICYdlEiLc1AfHLeJv6ZJObia0TZw2PCXsa2rTfZwQQm6EwpsQQgjxYmChhBswGoQU6oSjQYRDkJsM6caSSWu4d5GS0EacNoS2qSHPUAVCCLk5FN6EEEIIUSCeIKbQ4CoMsQURbhKzGWu4SZIF0UXB5TnAVdwqtPEYCy0mIZrVos3jTgghaYPCmxBCCCE3dUm3WsMRywsruHFNhzgzNZgpyNwLHFOEGkBk4xbHEZ4NpjydidHmcSWEkDuHwpsQQgghabKGw/oJyyhEuL0Qh5gzQtwkamO8r+uU9jIiGxihbY6rsWYzrp8QQtIfCm9CCCGEpBkI6pSEuHFPN2WlgHFPh9BjnLhjweIHjge+ezT7xRBktjdl5CC0cUwIIYQ4Fp5pCSGEEJKuQtxYWE2ZKdxCiEOQwzoOUWj+xrg20zJ++zHZENe4RcM2kwwP3ynCBOAybkQ3tvN7JoSQjIfCmxBCCCHpDsSdiQ8GKDdlTdwFsQgRbuLG8djEi0McGvGIW2+PLzYWbGvDdwXMwkXu3LltruJ4TJFNCCGuBYU3IYQQQjIEWGDRYIE1YtxYxo0YN0LcWMshMo2rNBr+HkLc3KK5u7jE5zPNLE6AU6dO2T6nWYQwAtsIayOyvX1xghBCXB0Kb0IIIYS4jGU8pThlNBNDbh4bUW4s5cAqxtGSe+xo0B80I6bNfes2++/AuqAAIQ2KFSumixTGbZwWbEIIcV8ovAkhhBDichjBbESoFat12L4Zy7kR5Ua8W4WvEa/GXRvcrqC1voa179bPYIS1Ec9GXBuhbW3Yhv6uWbNGk9Yl9/kJIYS4HxTehBBCCHErjKC9VTZueyuz1QKdXLP+TXIYq7n1fkrN9NHaCCGEeC8U3oQQQgjxSIzYZfkyQgghzsYlll+HDBkipUuX1jim2rVrS2RkZIr7woXs3XfflbJly+r+1apVkxkzZqS4/0cffaQrz08//bSDek8IIYQQQgghhLiw8B4zZow8++yz8tZbb0l0dLQK6datW8vRo0eT3f/111+XH374QQYPHiybN2+Wxx57TDp37qyxUPasWrVK961atWoGfBJCCCGEEEIIIcQFhfcXX3whDz/8sPTr108qV64sQ4cO1VIZw4YNS3b/4cOHy6uvvirt2rWToKAgGTBggN7//PPPk+x39uxZue++++Snn37SciWEEEIIIYQQQojXCW+UBImKipIWLVr816HMmfXx8uXLk/0b1Pc09T8NuXLlkv+3d+8xVdZ/AMc/qEAq5AWVm2KaF1LKa+alpIXdxlxkU+csKWsthaRai/pDpeakWS3RmUZtalt5T1RWKDOxaCJqs1QMRTOdYkqFkooWnN8+3+08Pw5C5eLw4PO8X9vx8Fw458Hnc855Puf7/X6+hYWFPutSUlIkMTHR57EBAAAAAHBVcbWKigozzUd4eLjPel3+8ccfG/wd7YaureRjx44147y3b98un3/+uXkcr9WrV5tu69rV/N/QZF5vXhcvXrTGk+utOXifp7meDy0PMQBiAMQAFHEAYgDEwM3hRs7PTVfVPCsry3RNj42NNUXTNPnWburerumnTp2StLQ0yc/Pv65lvDGZmZny5ptvXrd+27Ztptt7c9LjhrsRAyAGQAxAEQcgBkAMtGyXL1/+1/sGeBqbrLKZupprYrt+/XpJSkqy1icnJ0tlZaVs2rSp0d+trq6WX3/9VaKiouT111+X3NxcOXTokOTk5Jhia3WnDtHWcO+cmtqyXX9akYZavHv06GFa5G+99VZprm9L9IX14IMPSmBgYLM8J1oWYgDEAIgBKOIAxACIgZuD5o1dunSRCxcu/GPeaGuLd1BQkAwbNsx0F/cm3rW1tWY5NTX1b39XW7Ojo6NNUG7YsEEmTZpk1ickJMiBAwd89tUWcW0hT09Pb3Auz+DgYHOrT4O8uQPdjudEy0IMgBgAMQBFHIAYADHQst3IubG9q7lOJaYt3MOHD5cRI0bIwoUL5dKlSyZZVtOmTTMJtnYHV7t375bTp0/L4MGDzX1GRoZJ1l977TWzPTQ0VOLi4nyeo3379hIWFnbdegAAAAAA/M32xHvy5Mly/vx5mTNnjpw9e9Yk1Hl5eVbBtZMnT5ou4nW7mOtc3sePH5eQkBAzlZhOMdaxY0cb/woAAAAAAFpo4q20W3ljXcsLCgp8luPj46WkpOSGHr/+YwAAAAAA4KrEu6Xx1pvzTivWHHSsulbF0+dkHIc7EQMgBkAMQBEHIAZADNwcvPniv6lXTuLdgKqqKnOvlc0BAAAAAPi7/LFDhw7SYqcTa6m0WNuZM2dMoTadhqw5eKcw03nIm2sKM7QsxACIARADUMQBiAEQAzcHTaU16dYpruvWJWsILd4N0P+07t272/Lc+sLixeVuxACIARADUMQBiAEQAy3fP7V0e/19Wg4AAAAAAP4TEm8AAAAAAPyIxLuFCA4Olrlz55p7uBMxAGIAxAAUcQBiAMSA81BcDQAAAAAAP6LFGwAAAAAAPyLxBgAAAADAj0i8AQAAAADwIxLvFmDJkiVy2223yS233CL33HOPFBcX231I8KOvv/5axo8fL1FRURIQECA5OTk+27Xswpw5cyQyMlLatm0r48aNk6NHj9p2vGhamZmZcvfdd0toaKh069ZNkpKSpLS01Gef6upqSUlJkbCwMAkJCZEnnnhCfvnlF9uOGU1v6dKlctddd1nzs44aNUq+/PJLazsx4C5vv/22+Tx46aWXrHXEgPNlZGSY8173Fhsba20nBtzh9OnT8uSTT5rzrNd9d955p+zdu9faznWhc5B422zNmjXyyiuvmKqF3333nQwaNEgefvhhOXfunN2HBj+5dOmSOc/6hUtDFixYIIsWLZJly5bJ7t27pX379iYm9AMYN7+dO3eaC6mioiLJz8+XP//8Ux566CETF14vv/yybNmyRdatW2f2P3PmjEyYMMHW40bT6t69u0m29u3bZy6wHnjgAXnsscfk0KFDZjsx4B579uyRDz/80HwRUxcx4A4DBw6U8vJy61ZYWGhtIwac7/fff5cxY8ZIYGCg+fK1pKRE3nvvPenUqZO1D9eFDqJVzWGfESNGeFJSUqzlmpoaT1RUlCczM9PW40Lz0Jfgxo0breXa2lpPRESE55133rHWVVZWeoKDgz2rVq2y6SjhT+fOnTNxsHPnTut8BwYGetatW2ftc/jwYbPPrl27bDxS+FunTp08H3/8MTHgIlVVVZ6+fft68vPzPfHx8Z60tDSznhhwh7lz53oGDRrU4DZiwB3S09M99957b6PbuS50Flq8bXTt2jXT2qFdRrxatWpllnft2mXrscEeP/30k5w9e9YnJjp06GCGIBATznThwgVz37lzZ3Ov7wnaCl43BrTrYUxMDDHgUDU1NbJ69WrT60G7nBMD7qG9XxITE33OtSIG3EO7DOvQs969e8vUqVPl5MmTZj0x4A6bN2+W4cOHy8SJE83wsyFDhshHH31kbee60FlIvG1UUVFhLrjCw8N91uuyvsjgPt7zTky4Q21trRnTqd3M4uLizDo9z0FBQdKxY0effYkB5zlw4IAZtxkcHCwvvPCCbNy4UQYMGEAMuIR+2aJDzLTuQ33EgDto8rRixQrJy8szdR80ybrvvvukqqqKGHCJ48ePm3Pft29f2bp1q8yYMUNmzZolK1euNNu5LnSWNnYfAAC4ubXr4MGDPmP64B79+/eX/fv3m14P69evl+TkZDOOE8536tQpSUtLM3UetLAq3OnRRx+1ftYx/pqI9+zZU9auXWuKaMEdX8Bri/f8+fPNsrZ463WBjufWzwQ4Cy3eNurSpYu0bt36ugqVuhwREWHbccE+3vNOTDhfamqq5Obmyo4dO0yhLS89zzoMpbKy0md/YsB5tDWrT58+MmzYMNPqqUUXs7KyiAEX0G7EWkR16NCh0qZNG3PTL120gJL+rK1ZxID7aOt2v379pKysjPcBl9BK5drTqa477rjDGnLAdaGzkHjbfNGlF1zbt2/3+eZLl3WcH9ynV69e5o20bkxcvHjRVLEkJpxBa+pp0q3dir/66itzzuvS9wStblo3BnS6Mf0QJgacTd//r169Sgy4QEJCghlqoD0evDdt9dIxvt6fiQH3+eOPP+TYsWMmGeN9wB10qFn9KUWPHDliej4orgudha7mNtOpxLQriX7IjhgxQhYuXGgK7DzzzDN2Hxr8+MGq32Z76ZguvdDS4lpaNEXH/M6bN8+M99E33NmzZ5vCKzrfM5zRvfyzzz6TTZs2mbm8vWO0tFiKdi3U+2effda8N2hM6BzPL774ovmAHTlypN2HjybyxhtvmG6m+prX8ZwaEwUFBWaMHzHgfPra99Z18NIpgnQeX+96YsD5Xn31VRk/frxJsnSqMJ1aVntCTpkyhfcBl9Ap40aPHm26mk+aNEmKi4slOzvb3JTO7c51oYPYXVYdHs/ixYs9MTExnqCgIDO9WFFRkd2HBD/asWOHmQ6k/i05OdmaOmL27Nme8PBwM11EQkKCp7S01O7DRhNp6Nzrbfny5dY+V65c8cycOdNML9WuXTvP448/7ikvL7f1uNG0pk+f7unZs6d53+/atat5nW/bts3aTgy4T93pxBQx4HyTJ0/2REZGmveB6Ohos1xWVmZtJwbcYcuWLZ64uDhzzRcbG+vJzs722c51oXME6D92J/8AAAAAADgVY7wBAAAAAPAjEm8AAAAAAPyIxBsAAAAAAD8i8QYAAAAAwI9IvAEAAAAA8CMSbwAAAAAA/IjEGwAAAAAAPyLxBgAAAADAj0i8AQBwEI/HI88//7x07txZAgICZP/+/Y3u+9RTT8n8+fPFLnl5eTJ48GCpra217RgAAGgOJN4AADiIJrMrVqyQ3NxcKS8vl7i4uAb3+/777+WLL76QWbNm+awvKyuT6dOnS0xMjAQHB0t0dLQkJCTIp59+Kn/99Ze1nyb1OTk51z3u008/LUlJSf/qWB955BEJDAw0jw0AgJOReAMA4CDHjh2TyMhIGT16tEREREibNm0a3G/x4sUyceJECQkJsdYVFxfL0KFD5fDhw7JkyRI5ePCgFBQUyHPPPSdLly6VQ4cONfnxaqK+aNGiJn9cAABakoY/jQEAwE1Hk9iVK1daLdI9e/aUEydOXLdfTU2NrF+/3qelWbuo6+/369dPvv32W2nV6v/fzfft21emTJli9rkR+ty9evW6bn18fLxJ6NX48eMlNTXVfGFw++2339DjAwBwsyDxBgDAIbKyskzymp2dLXv27JHWrVs3uN8PP/wgFy5ckOHDh1vrdCy4tnSvWrXKJ+muS5P5G9GjRw/T3d3r7NmzMm7cOBk7dqy1Tru0h4eHyzfffEPiDQBwLBJvAAAcokOHDhIaGmoSbu1m3piff/7Z7NOtWzdr3ZEjR8x9//79rXXnzp2T3r17W8sLFiyQmTNnWsvaCl4/ub969aokJiaan+seR3V1tRn7PWrUKMnIyPD5naioKHNMAAA4FYk3AAAuc+XKFVM47Z9asMPCwqyq6Pfff79cu3bNZ/v7779vWrDrSk9PN13Z69OCbVVVVZKfn39di3rbtm3l8uXL/+EvAgCgZSPxBgDAZbp06WISXU2kg4KCrHHcqrS0VIYMGWK1WPfp08f83FCRNm3N9m730hb3yspKn3Xz5s2TrVu3muJtur2+3377Tbp27dqEfyEAAC0LVc0BAHAZnTtblZSUWOs02Y6NjZV33323SefV3rBhg7z11luydu3aBsdwaxd0LazmTfYBAHAiEm8AAFxGW5d12rDCwkJrnXY7X758uWnxHjNmjGzevFmOHj1qkvNly5bJ+fPnGy3W1hidjmzatGmm+/nAgQNNcTW9aQu3V1FRken2rmO/AQBwKhJvAABcSOfmrjudmBo5cqTs27fPFFhLSUmRAQMGmPnAtdK5jueeMWPGDT3H3r17TZd27Wquc4t7bxMmTLD20ceeOnWqtGvXrsn+NgAAWpoAz41OygkAABxRYE0T7DVr1tjW2lxRUWGOQRP0hub7BgDAKWjxBgDAhbSS+CeffGKSX7ucOHFCPvjgA5JuAIDj0eINAAAAAIAf0eINAAAAAIAfkXgDAAAAAOBHJN4AAAAAAPgRiTcAAAAAAH5E4g0AAAAAgB+ReAMAAAAA4Eck3gAAAAAA+BGJNwAAAAAAfkTiDQAAAACAH5F4AwAAAAAg/vM/qgs2Jn2M3wcAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(2, 1, figsize=(10, 8), tight_layout=True)\n",
    "delta_S = 0.01\n",
    "ax[0].set_title(\"Return loss magnitude\")\n",
    "ax[0].plot(freqs / 1e9, sparam_abs(1, 1), label=\"RF solver\")\n",
    "ax[0].plot(freqs_ben, S11abs_ben, \"--\", color=\"gray\", label=\"Commercial FEM\")\n",
    "ax[0].fill_between(\n",
    "    freqs / 1e9,\n",
    "    sparam_abs(1, 1) - delta_S,\n",
    "    sparam_abs(1, 1) + delta_S,\n",
    "    color=\"gray\",\n",
    "    alpha=0.2,\n",
    "    label=\"$\\\\pm$0.01 delta S\",\n",
    ")\n",
    "\n",
    "ax[1].set_title(\"Insertion loss magnitude\")\n",
    "ax[1].plot(freqs / 1e9, sparam_abs(2, 1), label=\"RF solver\")\n",
    "ax[1].plot(freqs_ben, S21abs_ben, \"--\", color=\"gray\", label=\"Commercial FEM\")\n",
    "ax[1].fill_between(\n",
    "    freqs / 1e9,\n",
    "    sparam_abs(2, 1) - delta_S,\n",
    "    sparam_abs(2, 1) + delta_S,\n",
    "    color=\"gray\",\n",
    "    alpha=0.2,\n",
    "    label=\"$\\\\pm$0.01 delta S\",\n",
    ")\n",
    "for axis in ax:\n",
    "    axis.legend()\n",
    "    axis.grid()\n",
    "    axis.set_xlabel(\"f (GHz)\")\n",
    "    axis.set_ylabel(\"abs\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "582e0466-006c-4749-8795-af63c6ff09a2",
   "metadata": {},
   "source": [
    "## Experimental verification of TFLT segmented CPW with Luxtelligence SA"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ffcecd6d-c190-4564-9189-a0f13bc7b2a1",
   "metadata": {},
   "source": [
    "In collaboration with Luxtelligence SA (LXT), we used the RF solver to simulate a range of segmented electrode designs in their thin-film lithium tantalate (TFLT) platform. The results were compared against measurements and simulations on other commercial software performed by LXT.\n",
    "\n",
    "Compared to lithium niobate, thin-film lithium tantalate offers a five-fold improvement in hour-scale bias stability, supports modulation down to tens of hertz, exhibits approximately twenty-times lower birefringence, provides nearly double the optical power damage threshold, and features a larger bandgap. Together, these properties make thin-film lithium tantalate a very promising platform for advanced telecommunication and datacom components, such as arrayed waveguide gratings (AWGs); enable dispersion engineering for optical-comb generation; and support high-performance frequency-metrology systems, as well as quantum applications operating across the visible-to-telecom wavelength range.\n",
    "\n",
    "In a separate Tidy3D mode solver simulation, the group index of the fundamental TE mode of the TFLT ridge waveguide (based on the ltoi300 PDK of LXT) was calculated. The waveguide has dimensions given by a total height of 300 nm, slab thickness of 120 nm, and ridge width of 2.5 um. The simulations were performed at 1550 nm (C-band) and 1310 nm (O-band), and the group index was calculated to be 2.11 and 2.175 respectively. For more information about the stack, please contact [Luxtelligence SA](https://luxtelligence.ai/).  \n",
    "\n",
    "The high-frequency RF effective index should match the optical group index to enable high-speed data transmission. We performed a sweep of 12 T-rail designs from LXT (A1-A13) and sought to match the effective index at the RF frequency of 67 GHz. The results are presented below alongside actual measurement data from LXT. Additionally, results from a similar calculation performed by LXT using a different commercial EM solver are also included."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "42846204-c2f7-439f-bfef-a6ce2759104c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Import LXT data\n",
    "_, neff_lxt_tidy3d, neff_lxt_comm, neff_lxt_exp = np.genfromtxt(\n",
    "    \"misc/cpw_lxt_data.csv\", skip_header=1, delimiter=\",\", unpack=True\n",
    ")\n",
    "device_labels = [\"A1\", \"A2\", \"A3\", \"A4\", \"A5\", \"A6\", \"A8\", \"A9\", \"A10\", \"A11\", \"A12\", \"A13\"]\n",
    "\n",
    "# Create comparison plot\n",
    "fig, ax = plt.subplots(figsize=(10, 4), tight_layout=True)\n",
    "ax.plot(neff_lxt_tidy3d, \"-x\", label=\"Flexcompute RF Solver\")\n",
    "ax.plot(neff_lxt_comm, \"-o\", color=\"gray\", label=\"Other commercial solver\")\n",
    "ax.plot(neff_lxt_exp, \"-^\", color=\"red\", label=\"LXT measurement average\")\n",
    "ax.axhline(2.11, ls=\"--\", color=\"#bbbbbb\", label=\"C-band Target (n_group = 2.11)\")\n",
    "ax.axhline(2.175, ls=\":\", color=\"#999999\", label=\"O-band Target (n_group = 2.175)\")\n",
    "\n",
    "ax.set_ylabel(\"Effective RF index\")\n",
    "ax.set_xlabel(\"Device ID\")\n",
    "ax.set_xticks(np.arange(0, 12, 1))\n",
    "ax.set_xticklabels(device_labels, rotation=45, ha=\"right\")\n",
    "ax.grid()\n",
    "ax.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "218a15d8-586a-4aaa-9451-fb2ebc48d11a",
   "metadata": {},
   "source": [
    "## Conclusion"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "756cb245-294e-4657-b866-03bb65912035",
   "metadata": {},
   "source": [
    "In this notebook, we studied the CPW in the context of a Mach-Zehnder modulator. We simulated two different configurations, namely the conventional straight CPW and segmented electrodes design, and obtained key transmission line parameters. Additionally, we also performed experimental verification of the RF solver using designs and measurement data from LXT. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "71e758ea-0ab7-4716-8863-7d8d27dc9a3d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "applications": [
   "Microwave and RF devices"
  ],
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