{ "cells": [ { "cell_type": "markdown", "id": "f10c8f26", "metadata": {}, "source": [ "# 8-Channel mode and polarization de-multiplexer" ] }, { "cell_type": "markdown", "id": "106c2164", "metadata": {}, "source": [ "> Note: the cost of running the entire notebook is larger than 1 FlexCredit.\n", "\n", "Mode-division multiplexing and polarization-division multiplexing on integrated photonic circuits are critical for large-bandwidth and high-speed optical communication networks. Here we introduce an 8-channel mode and polarization (de)multiplexer that is based on asymmetric directional couplers that operate on TE0 to TE3 as well as TM0 to TM3 modes. The design is based on [Wang, J., He, S. and Dai, D. (2014), On-chip silicon 8-channel hybrid (de)multiplexer enabling simultaneous mode- and polarization-division-multiplexing. Laser & Photonics Reviews, 8: L18-L22](https://onlinelibrary.wiley.com/doi/full/10.1002/lpor.201300157).\n", "\n", "The notebook is organized as the following: \n", "\n", "First, we use Tidy3D's [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html) to simulate the effective indices of the eight modes as a function of waveguide width. From the result, we can obtain the width of the bus waveguide in each directional coupler section to satisfy the phase match condition. \n", "\n", "Then, we model each directional coupler section individually to ensure good mode conversion efficiency. \n", "\n", "Lastly, once we confirm that good performance is achieved on each section, we build the whole 8-channel (de)multiplexer and simulate the whole device, which is about 200 $\\mu m$ in length. Thanks to the fast speed of Tidy3D solver, large simulations like these can be handled easily. \n", "\n", "The models in this notebook contain many waveguide bends. These bends can be defined natively in Tidy3D as demonstrated in the [Euler waveguide bend](https://www.flexcompute.com/tidy3d/examples/notebooks/EulerWaveguideBend/) example or the [waveguide Y junction](https://www.flexcompute.com/tidy3d/examples/notebooks/YJunction/) example. Alternatively, external GDS files can be imported using [Photonforge](https://www.flexcompute.com/photonforge/) as shown in the [GDSII import tutorial](https://www.flexcompute.com/tidy3d/examples/notebooks/GDSImport/). Here we will also demonstrate how to use `pf.Path` to programmatically define the waveguide bend structures used in the simulation.\n", "\n", "For more integrated photonic examples, please visit our [examples page](https://www.flexcompute.com/tidy3d/examples/). If you are new to the finite-difference time-domain (FDTD) method, we highly recommend going through our [FDTD101](https://www.flexcompute.com/fdtd101/) tutorials. FDTD simulations can diverge due to various reasons. If you run into any simulation divergence issues, please follow the steps outlined in our [troubleshooting guide](https://www.flexcompute.com/tidy3d/examples/notebooks/DivergedFDTDSimulation/) to resolve it.\n", "\n", "\"Schematic" ] }, { "cell_type": "code", "execution_count": 1, "id": "f1046476", "metadata": { "tags": [] }, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import photonforge as pf\n", "import tidy3d as td\n", "import tidy3d.web as web\n", "from matplotlib.gridspec import GridSpec\n", "from tidy3d.plugins.mode import ModeSolver" ] }, { "cell_type": "markdown", "id": "7bb676ae", "metadata": {}, "source": [ "The [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html) will check if the solved mode fields decay at the boundaries. When the field does not decay, a warning will be thrown. When we solve for more modes than the waveguide can support, spurious modes will appear and their fields most likely won't decay at the boundaries. We set the logging level to `\"ERROR\"` mainly to avoid these warnings. \n", "\n", "In general, we do not recommend setting the logging level to `\"ERROR\"` since most warnings are informative and can help troubleshoot your simulations." ] }, { "cell_type": "code", "execution_count": 2, "id": "c5c1d71d", "metadata": { "tags": [] }, "outputs": [], "source": [ "td.config.logging.level = \"ERROR\"" ] }, { "cell_type": "markdown", "id": "a7d335b5", "metadata": {}, "source": [ "## Mode Indices Calculation" ] }, { "cell_type": "markdown", "id": "5e4cae7f", "metadata": {}, "source": [ "To obtain the width of the bus waveguide in each asymmetric directional coupler, we need to first calculate the relationship between the effective indices of each mode and the waveguide width. This can be achieved by using the [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html) from Tidy3D's plugins. This computation will be done on a local computer so it won't cost any FlexCredits.\n", "\n", "For the entire notebook, we will focus on the central wavelength of 1550 nm and a wavelength range from 1500 nm to 1600 nm.\n", "\n", "\"Cross-sectional" ] }, { "cell_type": "code", "execution_count": 3, "id": "d91ebe00", "metadata": { "tags": [] }, "outputs": [], "source": [ "lda0 = 1.55 # central wavelength\n", "ldas = np.linspace(1.5, 1.6, 101) # wavelength range of interest\n", "\n", "freq0 = td.C_0 / lda0 # corresponding central frequency\n", "freqs = td.C_0 / ldas # corresponding frequency range\n", "\n", "fwidth = 0.5 * (np.max(freqs) - np.min(freqs)) # width of the excitation spectrum" ] }, { "cell_type": "markdown", "id": "2b036b2a", "metadata": {}, "source": [ "The structure is Si waveguide on silica substrate and top cladding. Therefore, we only need to define two materials. Within the wavelength range of interest, they can be considered lossless and dispersionless." ] }, { "cell_type": "code", "execution_count": 4, "id": "5b23e8e9", "metadata": { "tags": [] }, "outputs": [], "source": [ "n_si = 3.48 # silicon refractive index\n", "si = td.Medium(permittivity=n_si**2)\n", "\n", "n_sio2 = 1.44 # silicon oxide refractive index\n", "sio2 = td.Medium(permittivity=n_sio2**2)" ] }, { "cell_type": "markdown", "id": "31f7f875", "metadata": {}, "source": [ "The thickness of the waveguide is the standard 220 nm, which we will use throughout the notebook.\n", "\n", "Here we calculate the effective indices for the four TE modes (TE0-TE3) and the four TM modes (TM0-TM3) for waveguide width from 300 nm to 2500 nm." ] }, { "cell_type": "code", "execution_count": 5, "id": "472af715", "metadata": { "tags": [] }, "outputs": [], "source": [ "h = 0.22 # waveguide thickness\n", "ws = np.linspace(0.3, 2.5, 30) # range of waveguide width" ] }, { "cell_type": "markdown", "id": "55b3bd07", "metadata": {}, "source": [ "Define [ModeSpec](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.ModeSpec.html?highlight=modespec), [GridSpec](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.GridSpec.html), and [BoundarySpec](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.BoundarySpec.html?highlight=boundaryspec) for the simulations. The number of modes is set to 4 to make sure TE0-TE3 (TM0-TM3) modes are always included, even though when the waveguide width is small, not all modes are supported. " ] }, { "cell_type": "code", "execution_count": 6, "id": "3fbb79f9", "metadata": { "tags": [] }, "outputs": [], "source": [ "N_mode = 4 # number of modes\n", "\n", "# define mode spec\n", "mode_spec = td.ModeSpec(num_modes=N_mode, target_neff=n_si)\n", "\n", "# define grid spec\n", "grid_spec = td.GridSpec.auto(min_steps_per_wvl=30, wavelength=lda0)\n", "\n", "# define boundary spec\n", "bound_spec = td.BoundarySpec.all_sides(boundary=td.PML())" ] }, { "cell_type": "markdown", "id": "faee33d5", "metadata": {}, "source": [ "The waveguide structure has a mirror symmetry with respect to the $xy$ plane. In this case, the TE and TM modes share different symmetries. Therefore, we can solve for the TE and TM separately by imposing the corresponding symmetry in the simulation. This way, the result looks cleaner.\n", "\n", "First, we use the `(0,0,1)` symmetry to get the effective indices of the TE modes. A for loop will be used to iterate over different waveguide widths. At each iteration, the effective indices of the first four TE modes will be calculated." ] }, { "cell_type": "code", "execution_count": 7, "id": "a8765bc5", "metadata": { "tags": [] }, "outputs": [], "source": [ "n_eff = np.zeros((len(ws), N_mode)) # placeholder for the effective indices\n", "\n", "# loop over the waveguide width and compute the effective indices at each iteration\n", "for i, w in enumerate(ws):\n", " # define the waveguide structure\n", " waveguide = td.Structure(geometry=td.Box(center=(0, 0, 0), size=(w, td.inf, h)), medium=si)\n", "\n", " sim_size = (6 * w, 1, 8 * h) # simulation domain size\n", " mode_size = (6 * w, 0, 8 * h) # mode plane size\n", "\n", " # define simulation\n", " sim = td.Simulation(\n", " size=sim_size,\n", " grid_spec=grid_spec,\n", " structures=[waveguide],\n", " sources=[],\n", " monitors=[],\n", " run_time=1e-11,\n", " boundary_spec=bound_spec,\n", " medium=sio2,\n", " symmetry=(0, 0, 1),\n", " )\n", "\n", " # define mode solver\n", " mode_solver = ModeSolver(\n", " simulation=sim,\n", " plane=td.Box(center=(0, 0, 0), size=mode_size),\n", " mode_spec=mode_spec,\n", " freqs=[freq0],\n", " )\n", "\n", " # solve for the modes\n", " mode_data = mode_solver.solve()\n", "\n", " # obtain the effective indices\n", " n_eff[i] = mode_data.n_eff.values" ] }, { "cell_type": "markdown", "id": "1a2ffc2d", "metadata": {}, "source": [ "After the indices are solved, we can plot them for visualization." ] }, { "cell_type": "code", "execution_count": 8, "id": "87edbe05", "metadata": { "tags": [] }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# plot the effective indices for each TE mode\n", "for i in range(N_mode):\n", " plt.plot(ws, n_eff[:, i])\n", "\n", "plt.ylim(1.6, 3)\n", "plt.legend((\"TE0\", \"TE1\", \"TE2\", \"TE3\"))\n", "plt.xlabel(r\"Waveguide width ($\\mu m$)\")\n", "plt.ylabel(\"Effective index\")\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "0afcedf6", "metadata": {}, "source": [ "A similar calculation and visualization will be performed for the first four TM modes. We simply change the symmetry to `(0,0,-1)` in this case." ] }, { "cell_type": "code", "execution_count": 9, "id": "6d0d4c36", "metadata": { "tags": [] }, "outputs": [], "source": [ "for i, w in enumerate(ws):\n", " waveguide = td.Structure(geometry=td.Box(center=(0, 0, 0), size=(w, td.inf, h)), medium=si)\n", "\n", " sim_size = (6 * w, 1, 8 * h) # simulation domain size\n", " mode_size = (6 * w, 0, 8 * h) # mode plane size\n", "\n", " sim = td.Simulation(\n", " size=sim_size,\n", " grid_spec=grid_spec,\n", " structures=[waveguide],\n", " sources=[],\n", " monitors=[],\n", " run_time=1e-11,\n", " boundary_spec=bound_spec,\n", " medium=sio2,\n", " symmetry=(0, 0, -1),\n", " )\n", "\n", " mode_solver = ModeSolver(\n", " simulation=sim,\n", " plane=td.Box(center=(0, 0, 0), size=mode_size),\n", " mode_spec=mode_spec,\n", " freqs=[freq0],\n", " )\n", "\n", " mode_data = mode_solver.solve()\n", "\n", " n_eff[i] = mode_data.n_eff.values" ] }, { "cell_type": "code", "execution_count": 10, "id": "47be99c5", "metadata": { "tags": [] }, "outputs": [ { "data": { "image/png": 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cTJw4kfnz55crbubPn8/EiROZNWuW9dzkyZPLPT8iIoItW7bw66+/SnEjRAUZTEaSz57kcHqytYhJSk/m+JnUK+7e7OXqQWRQOJHBEUQFRxAZHEFkUAT1vfxkvIsQFaRqcRMbG8u0adPo3LkzRqORF154gcGDB3PgwAHc3S8/2r64uJiIiAjuvPNOnnrqqWrPqCgKRuPVZxBUFycnxyr/ZXbrrbcyd+5c4uLi6NWrF3FxceTk5DBixIhyxc3l5OXl4efnV6V5hLAHRpORlMzTJKVf7EpKSkvm2JkTVyxiPFzcaB4UTmTQP4uYcAJ96ksRI8QNUrW4WblyZbn7CxYsICAggF27dtGnT5/LPqdz58507twZgOeff77aMxqNJr5ZuKzav87lTJl4G1pt1b5EWq2W8ePHM2/ePHr16sW8efMYP348Wu3V9z/ZvHkzP/74I3/++WeV5hGiNjGajJw4l3a+BeZiIXPsTCplRsNln+Omc6V5YDiRweE0Dwq3FjIhvg2kiBGimtjUmJu8PMsiUVXZOqDX69HrL+5Bkp9//Zuo2YvJkyfTo0cP3nzzTZYuXcqWLVswGi//7hIgISGBkSNHMnPmTAYPHlyDSYVQR0lZKcfPnuRIegqHM1I4kp7CkYwUjp+9chHj6uxCs8AwawvMhY8N/QJlBpIQNcxmihuz2cyTTz5Jz549iY6OrrLPO3v2bF577bXrfr6TkyNTJt5WZXkq+7WrQ+vWrYmKimLs2LG0aNGC6Oho4uPjL3vtgQMHGDhwIA888AAvvfRSteQRQi15xQUcyUjh8Pni5cj5QiY1Kw1FUS77HFetjmZBYTQPiiAy2NKtFBkcQagUMULYDJspbqZNm0ZCQgJxcXFV+nlnzJjB9OnTrffz8/MJDQ2t8PM1Gk2Vdw3ZgsmTJ/PII4/w+eefX/GaxMREBgwYwMSJE3njjTdqMJ0QVe9cQQ7rE7eyKznBWsSczc+64vXebp40Cwy7eAsKo3lgGA3rBeLoUD1vPIQQVcMm/mo/+uij/PHHH2zYsIGGDRtW6efW6XTodLoq/Zz24P777+fOO+/Ex8fnso8nJCQwYMAAhgwZwvTp08nIyADA0dGR+vXr12BSIa6P2Wxm38kk1iVsZu3+TcSfOHjZ1pggn/rW4qVpg8Y0CwqneWCYzE4SohZTtbhRFIXHHnuMZcuWERMTQ3h4uJpx6hQnJyf8/f2v+PjPP/9MZmYmixcvZvHixdbzjRs3JiUlpQYSClF5ecUFxB7czrqEzfyduIXM/Oxyj0eHNqd3VGeigiOsLTKerrIPkhD2RqNcqWO5BjzyyCN89913/Pbbb+XWtvH29sbV1RWACRMmEBISwuzZswEoKyvjwIEDAAwbNoxx48Yxbtw4PDw8aNq06TW/Zn5+Pt7e3uTl5eHl5VXusdLSUpKTkwkPD8fFRRbDqiz5+YmapigKh9KOszZhE+sStrDj2L5yi+C569zo26Izg1r3pH/LbgT5BqiYVghxI6729/vfVG25uTDeo1+/fuXOz58/n0mTJgGQmppabpBeWloa7du3t95/9913effdd+nbty8xMTHVHVkIobIifQlxh3awLmEL6xI2czrnTLnHmwWGMTC6B4Oie9ClaVucna6+zIEQwv6o3i11Lf8uWMLCwir0PCFE7acoCqlZ6exOTmDX8QR2JSeQcPJwuYXxXLQ6ekZ2ZGB0Dwa26k7j+iFX+YxCiLrAJgYUCyEEQFFpMXtOHCxXzJwryLnkutB6QQyK7snA6B70jOwgeyoJIcqR4kYIoQqz2czRMyfYlZxoLWYOpR2/ZPdrraMT0aHN6RgeTceIaDqEtaKRf7DMZBJCXJEUN0KIGqEoCgdPH2XN/k1sObKH3cmJ5JcUXnJdiF8gHcNbWYuZ6NDmuGhlOQchRMVJcSOEqDalBj2bD+9m9b441uzfxOnsjHKPu2p1tA1raS1mOoS3ItBH1lESQtwYKW6EEFXqbF4WaxM2sWbfJmIPbadYX2J9zEWro3dUJ/q36k7niNZEhTRB6yi/hoQQVUt+qwghboiiKCScPMya/ZtYsz+OPSkHyj0e5FOfm1r3YlDrnvSK6oSbDP4VQlQzKW6EEJVWUlZKXNIu1uyLY83+ONJzM8s93rZxCwa36cXg1r2IDm0ug3+FEDVKihshRIWUGQ2sT9zCrztWs3pfHCVlpdbHXJ1d6NuiCze17smg1j1p4H3lrT2EEKK6SXFjB671rnjmzJlMmjSJ8PBwHBwcSE1NJSTk4kJn6enphIaGYjKZSE5OJiwsjKysLMaNG8e+ffvIysoiICCAkSNH8uabb15z2WthP8xmM1uPxrNsx2p+3/U3ucX51sdCfBswqHVPBrfpRY/mstaMEMJ2SHFjB9LT063HP/74I6+88gpJSUnWcx4eHpw7dw6AkJAQFi1axIwZM6yPL1y4kJCQEFJTU63nHBwcGDlyJP/5z3+oX78+R48eZdq0aWRnZ/Pdd9/VwHcl1HJhDM2vO1azfMfqcl1ODbz9GdVpEKM6D6Zd4xbS3SSEsElS3NiBwMBA67G3tzcajabcOcBa3EycOJH58+eXK27mz5/PxIkTmTVrlvWcr68vDz/8sPV+48aNeeSRR/jvf/9bXd+GUFlK5il+3b6aZTtWcSTjhPW8l6sHt3Toz+jOQ+jevD2ODo4qphRC2KTSPEjfD+n7LB8dnOC2T1SLI8XNNSiKAvoydb64zrnK3xnfeuutzJ07l7i4OHr16kVcXBw5OTmMGDGiXHHzb2lpafz666/07du3SvMIdZ3Ny+J/u9by647V7E5OtJ7XOTlzU5tejO48mIHRPdBpnVVMKYSwGYoC+Wnni5h9F4uZnJTy17l4w6iPQaXWXSlurkVfRvGY6ap8abcf3weXql2ZVavVMn78eObNm0evXr2YN28e48ePR6u9/M7JY8eO5bfffqOkpIQRI0bw9ddfV2keUfOMJiP/27WOn7b+xYaDO6zbHThoHOjTojO3dR7MsHb98HR1VzmpEEJVJiOcO2IpYDL2Q9o+yNgHxdmXv947FILbQGBrCG4Lihk06rT0SnFTB02ePJkePXrw5ptvsnTpUrZs2YLRaLzstR988AEzZ87k8OHDzJgxg+nTp/PZZ5/VcGJRFQwmIz9vW8lHKxaQknnKer5DeCtGdx7MyE6DqO9VT8WEQghVKAoUZcKZA3AmEc4chIwEy31j6aXXOzhC/SgIag1BbSy3wGhw86v57Fcgxc216JwtLSgqfe3q0Lp1a6Kiohg7diwtWrQgOjqa+Pj4y14bGBhIYGAgUVFR+Pn50bt3b15++WWCgoKqJZuoemVGAz9u+ZOPVy7kZJZl8Lmfhw/39b2dO7sNJax+Q5UTCiFqTGk+nD14vpA5YClkziRCcdblr3f2sBQu/yxkAlqA1rZnR0pxcw0ajabKu4ZsweTJk3nkkUf4/PPPK/wcs9nSfaHX66srlqhCpQY932/6nU9XfcvpnDMA+Hv68shN45nY5zbcXdxUTiiEqDZGPWQevtgSc/YAZByAvJOXv16jAb8IaNDSUrwEtrJ0L/lFgINDzWavAlLc1FH3338/d955Jz4+Ppd9/K+//uLMmTN07twZDw8PEhMTeeaZZ+jZsydhYWE1mlVUTklZKUvifuPTVYvJyLNM427g7c+jg+9lXO+Rsv2BEPbIZIBTu+B4LByLhZPbwXSFyTBewdCgBQS0tBQzDVpC/Uhwtp83PFLc1FFOTk74+195FVlXV1e++uornnrqKfR6PaGhoYwePZrnn3++BlOKyijSl7Bow698tmYJmfmWAX/BvgE8OmQC9/QcgYvW/loghaizzGbLIN/jG+B4DKRshrKi8te4+JwvXlqc/9gKAqJsamxMddEoiqKoHaIm5efn4+3tTV5e3iUr7ZaWlpKcnEx4eDguLvLutrLk56eOwtIi5sf+wudrviO7MBeAhn6BPH7zRMZ0Hy7TuIWwB4oC545aCpnjGyy3kpzy17j5QURfiOhjudVrqtpU7Opwtb/f/yYtN0LUUvklhcxbv5Qv1n1PTpFlW4TG/iE8MXQSd3YbitZR/nsLUavlnrJ0Mx2PtRQz+WnlH3f2gPCe5wuavpaWmVo4PqY6yG8/IWqZU9kZLIj9hW83LievuACAiIBQnhx2H6M7D8ZJihohaidjGZzYDIdXW26Zh8s/7qSD0K7Q5HzrTEgHcLz8GmV1nfwWFKIWUBSFrUfj+frvn1gRH2tdeK9ZYBhPDbuPkZ0GybYIQtRG+WlweA0krYJjMVBWePExB0dLAXOhq6lRV9C6qha1NpHiRggbVlJWyrIdq/n67584cPqo9XyvyE5M6X8nQ9r0xkGaoYWoPUxGOLnjYutMxv7yj3sEQPPBlluTfuDqo0bKWk+Km8uoY2Osq4z83KrO6ewzLIj9hcVxy63jaVy1Ou7oNpTJ/e6kRUgTlRMKISqsMBOOrLEUM0f+htLci49pNNCwEzQfApGDIbCNjJupAlLc/MOF/ZWKi4txdZWmv8oqLi4GuOI+VeLqLnQ9fbN+KSviYzGZTYBl5tPkfncytuct+Lp7q5xSCHFNZUVwciekbLIUNad3W2Y7XeDqC80GWVpnmg0Cd9n2pKpJcfMPjo6O+Pj4cPbsWQDc3NyqfFdue6QoCsXFxZw9exYfHx8cHWXsR2VYup7W8M36n0g8dcR6vmdkR6b2v4vBbXrJeBohbFlBBpzYCie2QOpWy0aT59+cWAW3g+Y3WQqahp0s42lEtZHi5l8CAwMBrAWOqDgfHx/rz09cW1rOWUvX08blZBflAf/serqDFiFNVU4ohLiE2QyZSZYi5sQWS1GTk3Lpdd4NLQOAmw6wtM54yX58NUmKm3/RaDQEBQUREBCAwWBQO06todVqpcWmghRFYX7sL7z+yyeUGiz7dDX0C+S+fndwT88R0vUkhC0xlMLpPedbZbZA6jYoyS1/jUYDDaKhcTdo1M3y0SdUlbjCQoqbK3B0dJQ/1qLKZeZnM/3bN1izfxMAXZq04eGbxknXkxC25NxRSFoJh1ZYipl/79GkdYWGnaFxV2jcHUI7g4u8KbElUtwIUUPWJ27l8YWvk5mfjc7JmZdHT2NK/7tkXJcQajMZLRtNHloBSSsuXTzPI8BSxDQ6X8wEtZHF82ycFDdCVLNSg543l33Ol3//AEBkcARzp7wuY2qEUFNpPhxdd76gWVV+nyYHJwjrBVE3WwYB29keTXWBFDdCVKNDacd55JtXrAvwTe53By+PfhRXZ9lYVIgal3PCUswcWgEpcWD6x7hKVx/LTKaooZYBwNLNVKtJcSNENfj3oOF6nr58OOElbmrdU+1oQtQdigKndp4vaP6CMwfKP+7fFCKHQtQwS5eT7MtmN+SVFKKKnSvI4alF/7EOGu7fqhsfTXiZAG9ZqEuIGlF4FvZ8BzsXQtaxi+cdHKFRd0vrTNTN4N9MvYyiWklxI0QV+uegYWcnLS/f9ihT+t8p+z8JUd3MJjiyFnYtsrTUmI2W884elm0NIodaxs+4+ambU9QIKW6EqAKXGzT8+eTXaNlQ3hkKUa1yTsCub2H3Esg/ffF8aBfoNBGibwOdh3r5hCqkuBHiBiWlJfPwNy/LoGEhaopRDwf/tHQ7HY+5uG+Tmx+0GwsdJ0CDFqpGFOqS4kaI66QoCgtif+E1GTQsRM04c9DS7RT/PRRnXzzfpL+llabFcHDSqZdP2AwpboS4DvklhTy5cBZ/xccCMmhYiGqjL4SEZZZWmpPbL573CoYO4y03vzDV4gnbJMWNEJV04NQRpnwxg+TMUzg7aXnptmlM7X+XDBoWoioYSi1FzPENltvpXRfXo3FwtAwM7jQBmg6SqdviiuRfhhCV8NPWv3huyduUGPQ09Avk6wdn066x9O0Lcd2MZXBqFyRvgOMb4eQ2y5iaf6rXxDKOpv094NlAnZyiVpHiRogKKDXoefmnD/h243LA0g01577X8POQVUyFqBSTEdLj4dgGS0FzYisYistf4xkI4b0hoo/l5hsm2x+ISpHiRohrSD2XxtQvX2Bf6iE0Gg1P3zKVp4beJ91QQlSEokDG/ovdTCmbQZ9f/hq3epYi5kJB499MihlxQ6S4EeIq1iVsZtq8V8ktzsfX3YvPJr9O/1bd1I4lhO0rybXMato+DzKTyj/m4gPhvSCiN4T3gYAWIG8WRBWS4kaIyzCZTbz7xzd8uGI+iqLQPqwlXz3wJg39AtWOJoRtO70btn0D+38GQ4nlnNbtfDHT11LQBLa2DA4WoppIcSPEv2QV5vLIN68Qe9Ay7XRS39t57Y4n0GmdVU4mhI0qK4J9v8D2byBtz8XzDVpClynQ9i7ZZVvUKCluhPiH3ckJ3P/li5zOOYOrVsd/xz/PHV2Hqh1LCNt09pCloIn/AUrzLOccnSF6FHSZatlpW8bOCBVIcSMEF1cbfmXphxhMRpo0aMTXD8ymRUgTtaMJYVuMZXDgf5axNClxF8/7hUPnyZZF9dxlMUuhLiluRJ1XpC/hmcWz+XXHagCGt+/PhxNewtPVXeVkQtiQnBOwY75lk8qiTMs5jQNEDbN0PTXpL4OChc2Q4kbUaUczTjDlyxkkpR3H0cGRl0dP48GBY9FIU7oQFun7YN0bkLTy4gaVnkGWvZw6TQTvEHXzCXEZqpbZs2fPpnPnznh6ehIQEMCoUaNISkq65vOWLl1KVFQULi4utG7dmr/++qsG0gp789eeGG5+6z6S0o7TwNufX56aw0OD7pHCRgiArOPw02SY0wsOrbAUNk36wz1L4OlEGPiCFDbCZqla3MTGxjJt2jS2bt3KmjVrMBgMDB48mKKiois+Z/PmzYwdO5YpU6awZ88eRo0axahRo0hISKjB5KI2M5lNzF7+OZO/eJ7C0mK6N2vPmhcW0q1ZO7WjCaG+wrPw+//BR51g38+Wc61vhyd2wX2/QcsRsqeTsHkaRbnQzqi+zMxMAgICiI2NpU+fPpe9ZsyYMRQVFfHHH39Yz3Xr1o127doxd+7ca36N/Px8vL29ycvLw8vLq8qyi9ohpyiPR76ZyfoDWwF4cODdvDz6UZzkl7Wo60rzIe4j2PyZZWo3QLOBcNOrENxW1WhCQOX+ftvUb/S8PMtUQj8/vytes2XLFqZPn17u3JAhQ1i+fPllr9fr9ej1Fzdhy8/Pv+x1wv4lnjrCfXOfI/VcGq5aHe/d+wKjuwxRO5YQ6jKUwvavIfZdKM62nGvYEQa/ZtkKQYhayGaKG7PZzJNPPknPnj2Jjo6+4nUZGRk0aFB+V9gGDRqQkZFx2etnz57Na6+9VqVZRe2zbMdqpi96gxKDnkb+wcx/6G1aNWymdiwh1GM2WdanWfcm5J20nPNvBjfNtHQ9ydgzUYvZTHEzbdo0EhISiIuLu/bFlTBjxoxyLT35+fmEhoZW6dcQtstoMjLr10/5Yt0PAPRv2Y3PpryGr7uslirqKEWBQ3/Bmtcsi/ABeAXDgBeg/T0ynkbYBZv4V/zoo4/yxx9/sGHDBho2bHjVawMDAzlz5ky5c2fOnCEw8PJ7/uh0OnQ6XZVlFbVHZn42D379EpsP7wbgiZsn8uytD+Aoe9qIuiplM6yeCanbLPddfaDv09D1ftC6qhpNiKqkanGjKAqPPfYYy5YtIyYmhvDw8Gs+p3v37qxbt44nn3zSem7NmjV07969GpOK2mZPygGmfPE8aTlncde58cmkVxjWvp/asYRQx6mdsP5tSFplua91he6PQO8nLAWOEHZG1eJm2rRpfPfdd/z22294enpax814e3vj6mp5FzFhwgRCQkKYPXs2AE888QR9+/blvffeY/jw4fzwww/s3LmTL7/8UrXvQ9iW7zb9zozv/4veWEbTBo2Z99BbNA+6duEshF0xGS3bJGz+DE5aNoHFwRE6TYL+z4Gn7HAv7Jeqxc3nn38OQL9+/cqdnz9/PpMmTQIgNTUVh38s6d2jRw++++47XnrpJV544QWaNWvG8uXLrzoIWdQNZUYDL/30Pos2LANgSJvefHLfTLxcPVROJkQNKs6GnQth21eQd8pyztEZ2txh6YLyb6puPiFqgE2tc1MTZJ0b+5SRm8n9X77AjuP70Wg0PDvifp64eVK5wlgIu3Y2CbbOhT3fgaHEcs69vmXfpy5TwLPB1Z8vhI2rtevcCHE9th/dy9QvX+Bsfhbebp7Mue81BrXuoXYsIaqfosDRdZaupyNrL54PagPdH7a01jjJhApR90hxI2q1H7f8yf99+yZGs4kWIU2Y9+BbhAfIVH9h58qKLGvUbPkcMg9bzmk0EDUcejwCYT1lnRpRp0lxI2qt+BMHeXrxbIxmEyM7DeL9e1/EXSfTWYUdyz1lGUuzcz6U5FrO6Tyh473Q7UHwk4HzQoAUN6KWKiwt4uGvX8ZgMjK8fT/mTpklu3kL+1WQAStehIRfLSsLA/iGQfeHoMN4cJHxg0L8kxQ3olZ6/vv/kpx5ihC/QN4b/4IUNsJ+7f8F/jcdSnIs98P7WLqeIodYpnYLIS5R6akkCxYsuOx5o9HIjBkzbjSPENe0dOsKft62EgeNA59Pfg0fd3nXKuxQURb8MBF+vM9S2AS1hYdjYcof0GKYFDZCXEWli5vHH3+cO++8k5ycHOu5pKQkunbtyvfff1+l4YT4t+NnUnnu+3cAePqWqXRp2lblREJUg4N/wsddIGEZODjBgBnw0N8Q0l7tZELUCpUubvbs2cOpU6do3bo1a9asYc6cOXTo0IGoqCj27t1bHRmFAEBvKOOhb16mWF9Cj+YdeGLoRLUjCVG1SnLh5wdhyVgoyoSAFvDgOktx46hVO50QtUalx9w0adKETZs28eSTT3LzzTfj6OjIwoULGTt2bHXkE8Lqzd8+Z19qEr7uXsy571XZAFPYlyPrYNk0yE8DjQP0egIGviDr1AhxHa5r+dY///yTH374ge7du+Pj48M333xDWlpaVWcTwmpdwma+WGvp9vxwwksE+QaonEiIKqIvhP89BQtvsxQ29SLg/lUw5DUpbIS4TpUubh588EHuvPNOnnvuOTZu3Mi+fftwdnamdevW/PTTT9WRUdRxZ/LO8fjCWQBM6X8nQ9r2UTmREFUkeRN82gO2f2O53+1BmLYJGnVVN5cQtVylu6U2bdrEtm3baNvWMpAzMDCQv/76izlz5jB58mTuuuuuKg8p6i6z2cxj818jqyCHVg2b8fLoR9WOJMSNM5TAmtdhy2eWLRR8GsFtc6BJX7WTCXHDzGYFvV6Pq6uLahkqXdzs2rULne7SptJp06YxaNCgKgklxAVzVi9mw6EduDq7MHfqLFy00kwvarlTOy2Dhs8dsdzvOBGGviEL8YlaT19m4FBSMokHjuLl5cEtQ9VrZa90caPT6Th27Bjz58/n2LFjfPTRRwQEBLBixQoaNWpUHRlFHbXreAJv/e8LAN4Y8380CwxTN5AQN8JYBuvfgg3vg2IGz0AY9YllMT4harHcvAISEo+SdCQFg8EIWAqd0tIyXFycVclU6eImNjaWoUOH0rNnTzZs2MAbb7xBQEAAe/fu5ZtvvuHnn3+ujpyijskvKeShb17GdH7fqLE9blE7khDXL20v/PowZCRY7re5E275L7j5qZtLiOukKAqnTp9hf+IRUk9mWM/7+njROroZzZo2Quuk3iYIlf7Kzz//PP/5z3+YPn06np6e1vMDBgzg008/rdJwom5SFIVnlrzFyax0GvkH899xz8v2CqJ2MpZB7LuWm9kIbvVg5IfQaqTayYS4LgaDkcNHT5CQeISc3ALr+caNgmjdqhkhwQE28fu60sXN/v37+e677y45HxAQwLlz56oklKjbvt/8B7/tXIuTgyNzp7yOl6uH2pGEqLz0/ZbWmvR9lvutRsKI98Gjvrq5hLgOBQVFJBw4ysGkZMrKDABotU5ENQ8numVTvL1t6/d0pYsbHx8f0tPTCQ8PL3d+z549hISEVFkwUTcdTk/mxR/fA+C5Wx+kQ3i0yomEqCSTwTKuJuYdy7GbH4x4D6JHgw28oxWiohRFIT3jHPsTj5By4jSKYjnv5eVB65ZNiWwehrOzba6cXeni5u677+a5555j6dKlaDQazGYzmzZt4umnn2bChAnVkVHUEaUGPQ99/TIlZaX0ierMtMHj1Y4kROWcOQC/PARp8Zb7LW6xdEN5yKKTovYwGk0cPX6S/YlHyMrKtZ4PCQ6gTXQzGoUG2UTX09VUurh58803mTZtGqGhoZhMJlq2bInJZOKee+7hpZdeqo6Moo6Y9eunHDh9lHqevnxy30wcHK5rAW0hap7JCBs/hPWzLa01rj5wy7uWgcM2/kdAiAuyc/I4eCiZw0dPoNeXAeDk6EjzZo2JbtUMP9/as1yBRlEuNDRVTmpqKgkJCRQWFtK+fXuaNWtW1dmqRX5+Pt7e3uTl5eHlVXteKHu3au8GJn7+LABLHn2fgdE9VE4kRAWdPQS/PAin91juRw2FkR9ZpnoLYeMMBiPHkk9y8FAyZ85mWc97eLjRqkUTWkRGqDad+98q8/f7uudpNWrUSNa1EVUiLecsTy76DwAPDhorhY2oHUxG2PQJrHsDTGXg4gPD34J2Y6W1Rti8zHM5HDx0nKPHUik7vzaNg0ZD48bBtIiMoGFIAxwcau+/4woVN9OnT6/wJ3z//fevO4yoe0xmE9PmzSSnKJ82jSJ5YeTDakcS4toyD1vG1pzaabnffDCM+hi8gtXNJcRVlJUZOHoslYNJyWSey7Ge9/Jyp0VkBJHNwnBzU2/LhKpUoeJmz5495e7v3r0bo9FIZGQkAIcPH8bR0ZGOHTtWfUJht8xmM/+3eDZbjuzBTefK3Cmz0Glto/lTiMsym2DzHFg7C4x60HnB8Leh/T3SWiNskqIonM3MtrTSHD+J0WgCwMHBgYiwEFpERRAcVN/mBwhXVoWKm/Xr11uP33//fTw9PVm4cCG+vr4A5OTkcN9999G7d+/qSSnsjtls5ukls/lh8x84Ojjy8cSXiWgg3ZzChp1NguWPQuo2y/1mA2HkJ+DTUN1cQlyGXl/G4SMnOJh0nOycfOt5H29PWkRF0LxZY1xd7HevvkoPKA4JCWH16tW0atWq3PmEhAQGDx5MWlpalQasajKgWH1ms5lnv3ubxXG/4aBx4LPJrzGq801qxxLi8ox6iH0PNrxnmQml84Shb0LHCdJaI2yOyWRi7/7D7I4/aG2lcXR0oElEKC0iIwhsUK/WttJU64Di/Px8MjMzLzmfmZlJQUHBZZ4hxEVms5nnv/+vtbD59L6ZUtgI25WyBX57HDKTLPebD4ZbPwCfUHVzCXEZJ06ms2lLPPn5hQD4+XrTskUEzZo0QqerW13+lS5ubrvtNu677z7ee+89unTpAsC2bdt45plnGD16dJUHFPZDURRm/PAuizYuQ6PR8PGklxndRXZEFjaoNA9Wvwrbv7Hcd68Pt7wjqwwLm5SfX8imrfGcSE0HwM3Nhe5d2tK0SWitbaW5UZUububOncvTTz/NPffcg8Fg2V/CycmJKVOm8N///rfKAwr7oCgKL/74Hgs3/IpGo+GjiS9zR9ehascS4lIHfoffn4YCyx8KOtwLN8+SHbyFzTEYjcTvTSJ+3yFMJjMOGg2to5vRsX1Lm90WoaZc9yJ+RUVFHDt2DIAmTZrg7u5epcGqi4y5qXmKovDyTx/w9fqf0Gg0fHDvi9zd4xa1YwlRXn6apag5+Iflfr0mlsX4Ivqom0uIf1EUhZQTaWzaGk9hYTFg2RqhV/f2+NaiVYQrq0YW8XN3d6dNmzbX+3RRRyiKwsylH/H1+p8AeG/8C1LYCNtiNsOOeZZuKH0+ODhB7yeh3zOgdVU7nRDl5OYVsGnLHk6eOgOAh7sr3bu1IyIspM52QV1OpYuboqIi3nrrLdatW8fZs2cxm83lHj9+/HiVhRO1m6IovPrLx3z59w8AvDvuee7pOULlVEL8w9lDsPxxSN1qud+wE4z6BAJbXf15QtQwg8HI7viD7N2fhNms4ODgQLs2kbRvG4VWe93tFHar0j+RqVOnEhsby7333ktQkO3vDCrUoSgKs379lC/Wfg/AO/c8x/jeo9QNJcQF/57e7ewBN70CXe8HB0e10wlhpSgKx46fYsu2vRQVlwDQKDSQnt3a4+3toXI621Xp4mbFihX8+eef9OzZszryCDugKApvLP+Mz9YsAeCtsc8woc9tKqcS4ryULfDbY5YtFAAib4YR78tifMLmZGfnEbdlD2npluVXPD3d6dmtHWGNZZuPa6l0cePr64ufn8waEJenKApv/TaXT1d9C8Cbdz/NpL63q5xKCEBRYM1rsOH8/nceATD8HYi+TaZ3C5tiNJrYsSuRfQmHURQFR0cHOrRrQdvWkTg5SctiRVS6uJk1axavvPIKCxcuxM3NrToyiVpKURTe+f1LPlq5EID/jJnO5H53qJxKiPM2fXqxsOk4EW5+HVx91c0kxL9knDnH+g07yMuzLMQX3jiE7t3a4uVZO2Yk24pKFzfvvfcex44do0GDBoSFhaHVlp9Lv3v37ioLJ2qXd//4mg/+mg/A63c+ydT+d6mcSIjzEpbDyhctx0PfhJ6PqhpHiH8zGI3s2JnAvoQjgGUhvr69OtK4kXRBXY9KFzejRo2qhhiitnvvz29470/Laq6v3vE4Dwy8W+VEQpyXug1+fsBy3O0B6DFN3TxC/Et6RibrN+y0bpsQ2TyMHl3b1rktE6rSdS/iV1vJIn5Vb87qxcz69VMAXhn9GI8MHqdyIiHOyzoOXwyE4iyIGgr3fCezoYTNMBiMbNu5n4TEowC4u7nSt3dHGoUGqZzMNtXIIn5CAGTkZvL2/74A4MXbHpHCRtiO4iz49g7Lx+D2cNc8KWyEzUhLzyRmww7yC4oAiGoeTvdubdHV8W0TqkqFihs/Pz8OHz6Mv78/vr6+V13bJjs7u8rCCdv35bofKDMa6Na0HY8NmaB2HCEsjHpYMg7OHQXvULj3R3CWAZlCfQaDkW079pNw4Hxrjbsr/Xp3IrRhoMrJ7EuFipsPPvgAT09PAD788MPqzCNqkfySQhZtXAbAI4PHq5xGiPPMZvj1YTixGXReMOFn8JQ/HEJ9p9POErNxJwXnW2taREXQvUubOr/JZXWoUHEzceLEyx6Lum3hhl8pLC0mMjiCQdE91I4jhMW6/8C+ny17RN2zGBq0UDuRqOMMBiNbt+8j8aBls2kPDzf69upEaMMGKiezXzLmRlyXUoOer9b9CMC0weNxcHBQOZEQwM5FEPuu5Xjkx9Ckn6pxhDh1+gyxG3dScH737pZREXST1ppqJ8WNuC6/bFvJ2fwsgn0DGNXpJrXjCAFH/4b/PWE57vcsdJSuUqGe0lI923cmcOCQZTNpDw83+vXuRMMQaa2pCVLciEozmU3WfaMeHDgWZyd5ByJUlpEI308AswnajoGBL6qdSNRRBoORfQmH2bsviTKDEYBWLZrQtXNraa2pQVLciEpbuXcDx86k4u3mybhet6odR9R1+enw7Z2gz4ewXnDbp7JXlKhxJpOJA4eOs3vPQUpK9QDU8/OmR7d2hAQHqJyu7rnu4ubo0aMcO3aMPn364OrqiqIoV50iLuyDoijWTTHv63s7Hi4yvVaoSF8I394FeafAvxmMWwJOOrVTiTrEbFY4cuwEO3YlUnh+XI2XlztdOkbTJCJU/i6qpNLFTVZWFmPGjOHvv/9Go9Fw5MgRIiIimDJlCr6+vrz33nvVkVPYiC1H9rAn5QA6J2emyN5RQk0mI/x0H6TvBXd/y5Rv2QhT1BBFUUhJTWP7zgRycvIBy35Qndq3JDIyHEeZZKGqSv/0n3rqKZycnEhNTS23K/iYMWNYuXJllYYTtmfO6sUAjOkxnPpefiqnEXWWosBfz0LSKnBygfE/gl+42qlEHXE67SzLf/+bVWs2k5OTj06npWvn1oy9aygtWzSRwsYGVLrlZvXq1axatYqGDRuWO9+sWTNOnDhRZcGE7Tl4+ijrEjbjoHHgkZtkmwWhos1zYNvXlrE1d34NoZ3VTiTqgMxzOWzfuZ+Tp84A4OTkSOtWzWjXJlI2ubQxlS4vi4qKyrXYXJCdnY1OV7m+7g0bNjBixAiCg4PRaDQsX778ms+ZM2cOLVq0wNXVlcjISBYtWlSprymu34VWm1s69CesfsNrXC1ENUn8DVaenw118xvQSga1i+qVm1fAmnVb+GX5Wk6eOoODRkOrlk24565hdO3cWgobG1TplpvevXuzaNEiZs2aBYBGo8FsNvPOO+/Qv3//Sn2uoqIi2rZty+TJkxk9evQ1r//888+ZMWMGX331FZ07d2b79u3cf//9+Pr6MmLEiMp+K6ISTmals2zHGgCmDb5X5TSizjr6Nyy939It1fV+6DFN7UTCjhUWlbBrdyKHDqegKAoAzZo2onOHVnh5eaicTlxNpYubd955h4EDB7Jz507Kysp49tlnSUxMJDs7m02bNlXqcw0dOpShQ4dW+Ppvv/2WBx98kDFjxgAQERHBjh07ePvtt6W4qWZfrvsBk9lE76hOtG0cpXYcURftWAC/P2VZyybyZhj2tkz5FtVCURSSjpxg05Y9GM6vVdM4NIgunaKpV89H3XCiQipd3ERHR3P48GE+/fRTPD09KSwsZPTo0UybNo2goKDqyGil1+txcXEpd87V1ZXt27djMBjQai9dIEmv16PX66338/PzqzWjPcouzGNx3G8APCqtNqKmmc2weibEfWS533aMZS0bR1mmS1S9kpJSYuN2kXIiDYCA+n5079qWoEB/lZOJyriu3w7e3t68+GLNrwA6ZMgQvv76a0aNGkWHDh3YtWsXX3/9NQaDgXPnzl22uJo9ezavvfZajWe1Jwtif6GkrJTWoc3p06KL2nFEXVJWDD/fDwd+t9wf8AL0f05abES1SE45TWzcLkpL9Tg4aOjcMZq2rSNxcJB/b7VNpQcUN23alFdffZUjR45UR56revnllxk6dCjdunVDq9UycuRI6y7lV9q4ccaMGeTl5VlvJ0+erMnItV5xWSlfr/8JsIy1kQWpRI0pyIBvhloKG0dny6yoAc9LYSOqnL7MwN+x21m1djOlpXr8fL0ZPXIQ7dtGSWFTS1W6uJk2bRp//vknkZGRdO7cmY8++oiMjIzqyHYJV1dX5s2bR3FxMSkpKaSmphIWFoanpyf169e/7HN0Oh1eXl7lbqLiftj8B9mFuTTyD+aWDpUbMC7EdctIhLkD4PQecPOD+36HtrJopKh6p9POsvSXVRw+YlnKpF2bSG4fNRB/GVtTq13XIn47duzg0KFDDBs2jDlz5hAaGsrgwYNrbFq2VqulYcOGODo68sMPP3DLLbdcseVGXD+jycjctd8B8NCge3CSMQ6iJhxeA18NvrilwoN/Q1h3tVMJO2M0mti0JZ7f/4qlsKgEL093Rt7Sn25d2uDo6Kh2PHGDrrsiaN68Oa+99hqHDx9m48aNZGZmct9991XqcxQWFhIfH098fDwAycnJxMfHk5qaCli6lCZMmGC9/vDhwyxevJgjR46wfft27r77bhISEnjzzTev99sQV/HH7vWknkvDz8OHu3vconYcURds++r8JpgFEN4bHlwL9SLUTiXszNnMbH5etob9iZbhFS2jIrhz9GAZNGxHbuit+Pbt2/nuu+/48ccfyc/P584776zU83fu3FlubZzp06cDMHHiRBYsWEB6erq10AHLrqvvvfceSUlJaLVa+vfvz+bNmwkLC7uRb0NchqIofLraskHm1P534ebsco1nCHEDzCbLwnybP7Pcbz8ORn4ETrI4mqg6JrOZ3XsOsjv+IIqi4ObmQr/enWgUWr0zfUXN0ygXViaqoMOHD7NkyRK+//57kpOTGTBgAOPGjWP06NF4eNj+okb5+fl4e3uTl5cn42+uIvbANsZ8/ASuzi7sevM3/Dy81Y4k7JW+EJZOhUN/We7fNBP6TJeBw6JK5eTk83fsdjLP5QDQJCKU3j064OIiBXRtUZm/35VuuYmKiqJz585MmzaNu+++mwYNGlx3UGG7LrTajO81UgobUX3y0+DbMZadvZ10cPsX0Praq5ULUVGKorA/8QjbduzHZDKj02np3aMDTZs0UjuaqEaVLm6SkpJo1qxZdWQRNmLviUNsPLQTRwdHHhh4t9pxhL1K3wff3mUpcNz9YfwPECrrKImqU1Rcwrr120hLzwQgtGEg/Xp3wt3dVeVkorpVuriRwsb+zTnfanNb55sIrSd90aIaHFoBP02GsiKoHwn3LgW/MLVTCTuSk5PPn6s2UlhYjJOTI927tqVlVISs1VVHVKi48fPz4/Dhw/j7++Pr63vVfxzZ2dlVFk7UvJTMU/yxez0A0waPVzmNsEtbv4Q/nwXFDE36w90LwdVH7VTCjqRnnGPlmjj0egPe3h4MHdwLH29PtWOJGlSh4uaDDz7A09PTeiyVr/36bM0SzIqZAa260yKkqdpxhL3ZuxT+eNpy3GkSjHgPHC/dE06I65Wccpq167diMplpEODHzYN74eqiUzuWqGEVKm4ubHEAMGnSpOrKIlSWmZ/Fj5v/BODRIbJBpqhiKZvh14ctxz0fhZvfkBlRokolHDhK3OY9AIQ1CmbggK5onWTx0bqo0ov4OTo6cvbs2UvOZ2VlyaqOtdw365eiN5bRIbwV3Zu1VzuOsCfnjsCSsWAqg5a3wpD/SGEjqoyiKGzbsd9a2LSMimDwoO5S2NRhlX7lr7Qsjl6vx9lZ1guorQpLi5gf+wtgGWsjXY+iyhRlWVYdLsmBhh3hji9BtksRVcRkMhO7cSeHj1r2hurcsRUd2rWQ32F1XIWLm48//hgAjUbD119/XW7BPpPJxIYNG4iKiqr6hKJGLIn7H3nFBTRp0Iib2/ZRO46wF4ZSWHI3ZB0Hn8Yw/kdwdlM7lbATZWUGVq/bwqnTZ9BoNPTt3ZGo5uFqxxI2oMLFzQcffABYWm7mzp1brgvK2dmZsLAw5s6dW/UJRbUrMxr4Yt33ADxy0zgcHaR7UVQBsxl+fQhSt4GLD0z4GTwC1E4l7ERRcQkrVsVxLisXJydHBg/sLtsoCKsKFzfJyckA9O/fn19//RVfX99qCyVq1m8715KWc5YAr3rc3vVmteMIe7F2Fuz/1TIb6p7FEBCpdiJhJ3JzC/hz5QYKCotxddExdEgvAur7qR1L2JBKj7lZv359deQQKlpwfqzN5H534KKVKZOiCuxcCBvesxyP/BgipKtTVI2MM1msWB2HXl+Gl5cHw2/ujbeX7e9rKGpWpUf13X777bz99tuXnH/nnXcqvSu4UF/CycPsSk5A6+jEuF63qh1H2IOjf8P/nrQc938OOoxTNY6wH8kpp/n9rxj0+jIC6vtx24gBUtiIy6p0cbNhwwaGDRt2yfmhQ4eyYcOGKgklas7CDb8CMKx9P+p71VM3jKj9MhLh+wlgNkHbMTDgBbUTCTuRePAYq9dtxmQy0yg0iBHD+uLqKi3N4vIq3S1VWFh42SnfWq2W/Pz8KgklakZBSRG/bF8FwMQ+shOzuEH56ZYp3/p8COsJt30qa9mIG6YoCjt2JbI7/iAAUZHh9OnZAQdZTkBcRaX/dbRu3Zoff/zxkvM//PADLVu2rJJQomYs3baCYn0JzYPCZdE+cWP0hbB4DOSdAv9mcM8ScJJ31eLGlJSUsi5mm7Ww6dShJX17dZTCRlxTpVtuXn75ZUaPHs2xY8cYMGAAAOvWreP7779n6dKlVR5QVA9FUaxdUhP63CYLXonrZzbB0imQFg9u9Sw7fLvJzBVx/UwmE/sTj7J7zwHKDEY0Gg19enWkRaSsYSMqptLFzYgRI1i+fDlvvvkmP//8M66urrRp04a1a9fSt2/f6sgoqsG2o3tJSjuOq7MLd3YdqnYcUZv99TwcWmFpqRn/A9SLUDuRqKUURSElNY0t2/aSn18EgH89H3p2b09QoL/K6URtcl0bbwwfPpzhw4dXdRZRgxadb7W5rfNNeLt5qpxG1FqbP4OtX1iO7/gSGnVVN4+otbKyctm8bS+n0yx7F7q5utClc2simzWWlmVRaddV3OTm5vLzzz9z/Phxnn76afz8/Ni9ezcNGjQgJCSkqjOKKnauIIc/9ljWK5rY53aV04ha6+CfsGKG5XjI6xB9m7p5RK1UUlLKjl2JHEw6jqKAo6MDbaKb075tFM7OWrXjiVqq0sXNvn37GDRoEN7e3qSkpDB16lT8/Pz49ddfSU1NZdGiRdWRU1Sh7zf/TpnRQLvGLWnbWPYDE9fh9G74aQooCnS6D3o9oXYiUcuYTGYSEo+w6/y4GoCI8IZ069IGL093ldOJ2q7Sxc306dOZNGkS77zzDp6eF7szhg0bxj333FOl4UTVM5vNfLtxOQAT+8r0b3Edck/Ct2PAUAzNBsKI92TKt6gwRVE4kZrO5m17yc8vBC6Mq2lHUGB9ldMJe1Hp4mbHjh188cUXl5wPCQkhIyOjSkKJ6rP+wFZSz6Xh7ebJyE6D1I4jahtjGfwwAQrPQINWMGYhOF5X77aog7Ky89i8Nf5f42qiiWwWJuNqRJWq9G8lnU532cX6Dh8+TP36UnXbugvTv8d0G46bs4vKaUSts+ZVOLXLssv3+B/AxUvtRKIWKCnRs2NXgoyrETWm0sXNrbfeyuuvv85PP/0EgEajITU1leeee47bb5fBqbbsVHYGa/dvBuDePqPUDSNqn0MrYNOnluPbPwffxurmEbXCseMniY3bRVmZAZBxNaJmVHqZx/fee4/CwkICAgIoKSmhb9++NG3aFE9PT954443qyCiqyJK43zArZnpGdqRZYJjacURtknsSfnnQctzjEWghS0GIa0s4cJQ1f2+lrMyAfz0fRt7Sj8EDu0thI6pdpVtuvL29WbNmDZs2bWLv3r0UFhbSoUMHBg2S8Ru2zGAysiTuf4DsIyUqyWSAH++DklwI6QCDX1c7kbBxiqKwa89Bdu5OBKBliyb06t4eBwcZVyNqRoWKGz8/Pw4fPoy/vz+TJ0/mo48+omfPnvTs2bO684kqsiI+lrP5WQR41WNoO1lJWlTC2llwcju4eMOYBeB06ca5QlygKAqbtsSTcOAoAB3bt6RTh5YyYFjUqAp1S5WVlVkHES9cuJDS0tJqDSWq3oWBxON63YpWZreIikpaBRs/tBzfNgf8wtRMI2ycyWRmXcw2a2HTs3s7OndsJYWNqHEV+ivXvXt3Ro0aRceOHVEUhccffxxXV9fLXjtv3rwqDShu3JGMFDYl7cJB48D4XqPUjiNqi7zTF8fZdHsAWt2qbh5h0wwGI6vXbeHkqQwcNBr69+1Cs6aN1I4l6qgKFTeLFy/mgw8+4NixYwDk5eVJ600tsmjDMgBuat2TEL8GKqcRtYLJCD9NhuJsCG4HN8tkAXFlpaVlrFgdx5mzWTg5OjJ4UHcahQapHUvUYRUqbho0aMBbb70FQHh4ON9++y316tWr1mCiahSXlfLT1r8AmNBH9v4RFfT3m3BiC+g8Ycx8y47fQlxGYVEJf67cQE5OPjqdlqGDexPYQP4+CHVVaMyNn58f586dA6B///44O8uAwtrit51rySsuoJF/MP1bdlM7jqgNjqyDDe9Zjkd9AvWaqJtH2KzcvAKW//43OTn5uLm5MHJ4fylshE2QAcV2bmGsZSDxvb1H4eBQ6WWNRF2Tnw4/32/ZELPLFGgtywaIyzt3Loflv6+nsLAYLy8PRo0YgJ+ft9qxhABkQLFd23viEPEnDuDspGVsjxFqxxG2zmyCpVOh6BwEtoahs9VOJGzU6bSzrFyzCYPBiH89H4YN6Y2bm2znImxHpQcUazQaGVBcSyzc8AsAt7Tvj7+nr8pphM1b/xYkbwRnD7h7AWjlj5W4VHLKadau34rJZCYosD43D+6JTvaHEjZGBhTbqbziApZtXw3AxL7StSCu4VgMxLxjOR75Ifg3UzONsFGHkpKJjduJokBY42AG9e+Gk5Oj2rGEuESlV3NLTk6ujhyiii3d+hclBj1RwU3o0qSt2nGELSs4Y+mOUhToOBHa3qV2ImGD9uw9xLYd+wGIah5Gn14dZRyfsFkV/pc5bNgw8vLyrPffeustcnNzrfezsrJo2bJllYYT10dRFBaeX9tmQp/bZHVQcWVmEyy9HwrPQoOWMPxttRMJG6MoClu377MWNu3aRNK3dycpbIRNq/C/zlWrVqHX663333zzTbKzs633jUYjSUlJVZtOXJctR/ZwJCMFN50rd3YdqnYcYcti34PjMaB1gzELwdlN7UTCxuxLOEL8Psvv9m5d2tCtSxt5wySuStGXoejLVM1Q4eJGUZSr3he248I+Urd3GYKnq7vKaYTNSo6zLNYHcOv7EBCpbh5hc06kprN1+14AundtS7s28m9EXJ35TBalM96nbO4PqtYJsoOincnMz+KvPTEATOwjA4nFFRSdg5+mgGKG9uOg/T1qJxI2Jjs7j7Xrt6Io0CIynDbRMshcXJ1xdyL69xdCQRHmzBy02Xlo6vmokqXCxY1Go7mkKVKaJm3Pd5t+x2Ay0jE8mujQ5mrHEbZIUeDnB6AgHQKiYMS7aicSNqakRM+K1XEYDEaCg+rTq0cH+X0vrkgxmzEsXYXh+z9BUXBo1hjdc1NxUKmwgUoUN4qiMGnSJHQ6yx4zpaWlPPTQQ7i7W7o9/jkeR6jDZDaxaONyQKZ/i6s4+AccWQtOLufH2UjXpbjIZDKxau1mCgqL8fJyZ/DA7jg6yuBhcXlKYTH6DxZi2pkAgNOQXjjffwcarbprH1W4uJk4cWK5++PHj7/kmgkTJtx4InHd1iVs4XR2Br7uXozoMEDtOMIWmQyweqbluNfj0KCFunmETVEUhQ2bdpNx5hzOWieG3tQLFxfZNFVcnun4SfRvf42ScQ6ctTg/NAbtwO5qxwIqUdzMnz+/OnOIKrBoo2X6913dh+PqLKvLisvYuRDOHQV3f+j9hNpphI3Zu/8wSYdT0GjgpoHd8fX1UjuSsFGGv7dR9vn3UGZA06AeuufvxzEiVO1YVjKg2E6knktjXcJmACb2vk3lNMIm6Qvg7/P7RQ2YATpPdfMIm5JyIo2t2/cB0KNbO0IbBqqcSNgixWCg7JtfMK7YCIBjx5bonpqExtO2ureluLETi+N+Q1EU+kR1JqJBI7XjCFu08SMoyoR6TaDTJLXTCBuSlZ3HuphtALSMiiC6ZVOVEwlbZD6Xg/7trzEfTgGNBu2YoWjHDEVjgws6SnFjB8qMBr7b9D9ABhKLK8hPh02fWo4HvwaOstGhsCgpKbXOjAoJDqBnj/YyM0pcwrQvidJ350FeIbi7ops+CadO0WrHuiIpbuzAmv1xnCvIIcCrHoPb9FY7jrBFf88GQzE06gotR6idRtgIk8nEyjWbKSwsxsvLg5sGdMfRBt+FC/UoioJh2VoM3/4GZgWH8Ibonr8fh0B/taNdlar/ijds2MCIESMIDg5Go9GwfPnyaz5nyZIltG3bFjc3N4KCgpg8eTJZWVnVH9aGLYmztNrc3eMWtI5Sr4p/OXsIdi2yHN/8H5B35QLLH63YuF2cOZuFs7OWYYN74eLirHYsYUOU4hL0b32FYeFyMCs4DeiKy9v/Z/OFDahc3BQVFdG2bVvmzJlToes3bdrEhAkTmDJlComJiSxdupTt27dz//33V3NS23U6+wzrD2wFYGyPW1ROI2zS6pmWlYhb3mppuRECiN+XxOEjJ9BoNNw0oDs+PjLAXFxkTk2j5P/ewbR1Lzg54fzw3Tg/fi8aXe0ogFV9mz906FCGDq34xo5btmwhLCyMxx9/HIDw8HAefPBB3n677u5k/MOWP1AUhR7NOxAeYDvT8ISNSI6DQyvAwREGz1Q7jbARySdOW3f57tm9HaENG6icSNgSY8x29J9/D6VlaPx90T03FcfmYWrHqpRa1bnavXt3Tp48yV9//YWiKJw5c4aff/6ZYcOGqR1NFWazme83/Q7AuJ63qpxG2ByzGVa+aDnufB/4y95AAs5l5bJuvWVmVKsWTWRmlLBSCospfW8++g8WQmkZDm0icX3/uVpX2EAtG1Dcs2dPlixZwpgxYygtLcVoNDJixIirdmvp9fpyW0Pk5+fXRNQasfHQDk5lZ+Dt5smw9v3UjiNsTeIyOL0HnD2g//NqpxE2oLi4lJWr4zAaTYQEB9Cjezu1IwkbYUo8gv6DhSiZOeDggHbMzWjvHIqmlm69UatSHzhwgCeeeIJXXnmFXbt2sXLlSlJSUnjooYeu+JzZs2fj7e1tvYWG2k/XzZLz079v7zJEViQW5Rn1sPo1y3HvJ8AjQN08QnVGo4lVazdRWFSCt7eHZc8omRlV5ykGI2WLfqP0xY9QMnPQBPrj8tZ0nO8eXmsLGwCNoiiK2iHAssP4smXLGDVq1BWvuffeeyktLWXp0qXWc3FxcfTu3Zu0tDSCgoIuec7lWm5CQ0PJy8vDy6v2Li2eVZhLu+duwWAysvbFRbIDuChv82fw1/PgGQhP7ZHNMes4RVH4O2Y7R46lotNpue3Wgfh4ywDius58KgP9+wsxH0sFwGlQd5yn3IHGzTbfLOfn5+Pt7V2hv9+1qluquLgYJ6fykR0dHQHLf97L0el01p3M7cnPW1dgMBlp0yhKChtRXkkuxLxjOR74ohQ2dZyiKOzYlciRY6loNBoGD+whhU0dpygKxpVxlM37BcoM4OmObto9ONlRN6WqxU1hYSFHjx613k9OTiY+Ph4/Pz8aNWrEjBkzOH36NIsWWdboGDFiBPfffz+ff/45Q4YMIT09nSeffJIuXboQHBys1rdR4xRFsXZJjeslA4nFv2z4AIqzISAK2o9TO41QkaIobNuxn/h9SQD06tGekGDpoqzLlNwC9J8uwXR+tpxD2yh0T9yLQz0fdYNVMVWLm507d9K/f3/r/enTpwMwceJEFixYQHp6OqmpqdbHJ02aREFBAZ9++in/93//h4+PDwMGDKhzU8F3JydyOD0ZV62O2zoPVjuOsCW5J2HLZ5bjwa+BLOpYZymKwqYt8SQcsLyB7NGtHa1aNFE5lVCTcWcC+o8XQ16BZe2aCSNxGtHPJveGulGq/ubr16/fFbuTABYsWHDJuccee4zHHnusGlPZviWbfgNgRMeBeLl6qJxG2JR1b1gGE4f1gsib1U4jVGI2K2zYtItDSckA9OnVkZZRESqnEmpR9GWULViG8a8NAGgaB+MyfRIOYSEqJ6s+8rauliksLWL5zrUA3CNr24h/St8P8d9bjm+eJdss1FFms5n1sTvOj7GBfn06E9ksTO1YQiWm4yfRv7cA5VQGAE4j+uM8YSQaZ/vePFeKm1rmt51rKdaX0KRBI7o2bat2HGFLVr8CigKtb4eGHdVOI1RgMplZt34rx1NO46DRMLB/V5pE2M/yF6LiFLMZw/J1GJb8DkYTGl8vnJ+YgFP7FmpHqxFS3NQyFwYS39PzVjTyzlxccPRvOLIOHLVw0ytqpxEqMBpNrF63mdSTGTg4ODB4YHfCGtediRbiIqWwmNK3vsK8/zAAjl3bonv0HjRedWcYgxQ3tcjB08fYnZyIk4Mjd3Wr+J5cws6ZzbDqfEHT9X7wC1c3j6hxBoORlWs2cTrtLE6Ojgy5qafsF1VHKaV6Sl//DHNSMuiccZ56B0439ahzb4aluKlFLuwjNaRtb+p71VM5jbAZe3+E9H3g4g39nlE7jahhZWUG/loVR8aZc2i1Tgwd3IvgoPpqxxIqUAwGSmd/aSlsPNxwfeNJux40fDVS3NQSekMZS7f9BcDYHjKQWJxnKIW1syzHfaaDmxS9dUlpaRl/rtpAZmYOzs5aht/cmwYB8m+gLlJMJvTvLcAcfwhcnHF55ZE6W9iAFDe1xoq9seQU5RPkU5/+rbqqHUfYiq1fQN4p8G4I3a+8x5qwPyUlpfyxYgNZ2Xm46JwZPrQP9f191Y4lVKCYzZR9+h2mLfHg5ITLCw/iGFm3u6eluKklvouzDCS+u8cIHB0cVU4jbEJxFsS+azke9BJoXdXNI2pMUVEJf6yIJSe3AFdXHSOG9sXPz1vtWEIFiqJQNu9XjH9vBQcHdM9MxrFtlNqxVCfFTS1w4lwaGw7tQKPRMLbHLWrHEbYi9j0ozYPA1tB2jNppRA0pKCji9xWx5OcX4e7uyohhfWWvqDrM8ONfGH9fD4DzY+Nx6iZLhIAUN7XCD5v/AKB3ZCca+cvUTgFkp8DWLy3HQ14Hac2rE/LyC/n9r1gKC4vx9HRnxLC+eHnKxqh1leH39Ri+t4zFdL7/TrQDZMjCBVLc2DiT2cQPmy2zpO6RTTIFWBbqWzEDTGXQpD80G6h2IlEDcnLy+X1FLMXFpXh7ezBiWF883N3UjiVUYli3hbKvfwZAe88taG/pp24gGyPFjY1bn7iN9NxMfN29GNq2r9pxhC3Y9zMc/NOyYN+w2WqnETWgsLCY//0ZQ0mpHj9fL24Z2hc3Nxe1YwmVGLfEU/bpEgCcRg5Ae5fsI/dvUtzYuO83WwYS39l1GDqts8pphOoKz8Kf59ey6fsMNGipbh5R7RRFIWbjTkpK9dTz8+aWYX1xddGpHUuoxBR/EP2788Gs4DSoB873ja5zC/RVhP3tc25HMvOzWLV3IwBje45QOY2wCb8/DcXZlkHEff9P7TSiBhxMSubU6TM4Ojpw04DuUtjUYaZDxyl980swGnHs0R7nR8ZKYXMFUtzYsJ+2rsBoNtEhvBUtQpqoHUeoLWE5JC4HBycY/ZmlW0rYtYKCIrZs2wtAl06t8fGRWVF1lTnlNKWvfwb6Mhzbt0A3fSIaR/kTfiXyk7FRiqLw3flNMsf1lIHEdV5RFvx+vqWmz1MQLNM97d2F7iiDwUhgA39at2qmdiShEnPaWUpnfgJFJTi0iED3/P1otPLm5mqkuLFR247u5diZVNx0rozsNEjtOEJtfz4LRZkQ0AL6Pat2GlEDDhw8bt0Is3+fzjg4SPdDXWQ+l0PpKx+j5BbgEN4Ql5ceRiNdk9ckxY2NutBqM6rTIDxcZB2LOu3gX7BvKWgcLN1RTvKLzd7l5xeyZbulO6prl9Z4e3uonEioQckroHTmJyiZOWiCA3B59VE0HjL9vyKkuLFB+SWF/L5rHQDjeo5UOY1QVUkO/O9Jy3GvJ6BhR1XjiOqnKArrN+zEaDQRFFif6JZN1Y4kVKAUlVD62hyUU2fQ+Pvi8vpjaGTMVYVJcWODlu1YTYlBT/OgcDqEt1I7jlDTXzOgIAPqN4cBM9ROI2pAwoGjpGdk4uTkSP8+nWQ2TB2kGIyUvvkF5mMnwdsDl9cew6G+n9qxahUpbmzQkriLA4nlF1sddng17PkONBq4bQ5oZdE2e5eXV8i27fsB6NalDV5e0h1V1yiKQtncHzAnHAFXF1xefRSHhg3UjlXrSHFjYxJOHmZf6iG0jk7c0W2o2nGEWkrzYPnjluMe06CR7Blj78xmhfUbtmM0mQgJDqBVC1n+oS4yLFuLce0WcNBYdviOCFU7Uq0kxY2NuTCQeGi7vtTz8FE3jFDPipcgPw3qRcDAl9ROI2rA/sQjZJzJQqt1om9v6Y6qi4xb92JY9BsAzlPuwKmjDEu4XlLc2JCSslJ+2b4KkLVt6rSjf8OuhZbjUXPAWWZH2Lvc3AK277R0R3Xv2lZ2+q6DTMdS0b+/ABQFp2F9ZCPMGyTFjQ35a08MecUFNPQLpHdUZ7XjCDXoC2DZY5bjbg9AeE9184hqZ+mO2oHJZKZhSANaRIarHUnUMHNWLvr/zLWsPtyuBc5T71A7Uq0nxY0NWXK+S2pszxE4OMhLUyetngl5J8E3DG56Ve00ogbsSzjMmbNZOGud6CfdUXWOUqpH/8ZclOw8NKGB6J6dgsbRUe1YtZ78BbURyWdPsvnwbjQaDXd3v0XtOEINxzfCtq8tx6M+AZ3MlLF3OTn57NiVAECPbu3wkAXa6hTFbEb/4SLLlG8vD8vqw+6uaseyC1Lc2Iil21YC0L9lN0L8ZNpfnVNWBMumWY47T4YmfdXNI6qd2Wy2dkeFNgwksnmY2pFEDTMs+R3TlnhwcsJlxv04BPqrHcluSHFjIzYf3g3AsHbyR61OWvM65KSAd0MY8rraaUQN2Lv/MGczs3F21srsqDrI8PdWDD+vBkD32DgcZSXqKiXFjQ0oMxqITzkAQJemsttznXNiK2ydazke9TG4eKmbR1S77Ow8duxKBKBn93Z4SFdEnWJKPELZnO8A0N51M079uqicyP5IcWMDEk4mUWrQ4+vuRdMGjdWOI2qSoQSWPQKKAh3uhWayA7y9M53vjjKbzTRuFETzpvJ/vi4xp5+ldPZXYDTh2LM92rHD1Y5kl6S4sQHbjlp2/+3cpI3Mkqpr1r0B546CZxAMfUPtNKIGxO89ROa5HHQ6LX16dZTuqDpEKSymdNZcKCjCoVljdE9MQCO/86uF/FRtwI5j+wBLcSPqkJM7YNOnluORH4Krj5ppRA04l5XLrj2WLuhe3Tvg7ibdUXWFYjRR+s43KKfPoKnng+6FB9HonNWOZbekuFGZoihsO1/cdG0i423qDGMZ/PoIKGZoOwaiZB8xe2cyXeiOUghvHELTJrJnUF2hKAplX/6Eee8hcHFG99JDOPh5qx3Lrklxo7LksyfJKsjB2UlLm8ZRascRNeXA/yAzCdz9YfjbaqcRNWB3/EGysnJx0TnTu2cH6Y6qQ4x/xGBcFQcaDbr/k80wa4IUNyrbfr7Vpm2jKFy0OpXTiBqz/RvLxy5Twc1P3Syi2p05m83u+IMA9OrRATc3F5UTiZpi3JlA2bxfAHC+7zacurRWOVHdIMWNyrYfswwmlingdciZA5CyCRwcofMktdOIamYwGPk7ZhuKotC0Sah0R9Uh5pTT6P87D8wKToN74nTrALUj1RlS3KjswmDiLjKYuO7Yfn6LhRa3gFewullEtdu6fR95+YW4u7nSu0cHteOIGmLOyqX0P59DqR6HNs1xfnCMdEXWICluVJRVmMuRjBMAdJLipm7QF0D8j5bjLlPUzSKqXerJdBIPHgOgf9/O6GR2TJ1gTjtL6fPvoWTmoAkOwOW5+9E4yWaYNclJ7QB12c7zrTbNAhtTz8NH3TCiZuz9yVLg+DeDCNlqw56VlOqJ2bATgNatmtEwRPaMqwtMx09S+uocyCtAE1Qfl1cfRSMbotY4KW5UtN3aJSXjbeoERbm463eXKSBN1HZLURQ2xO2iuKQUXx9PunaWQaR1genAUUr/MxeKSnAIb4jLq9PQ+Mh2KmqQ4kZF2/+xMrGoA05shTOJoHWF9veonUZUo8NHT5CcchoHjYYB/briJF0Sds+4MwH9219DmQGHlk1wefEhabFRkRQ3Kik16NmbegiQwcR1xoWBxG3ulNWI7Vh+QRFxm/cA0KljK+r7+6qcSFQ3Y+wO9B8tApMZx07R6J6dIqsPq0yKG5XsPXGQMqMBf09fwgNkaqjdK8yExOWW465TVY0iqo/ZrLA+djsGg5EGAfVo10YW5rR3hj9jKftqKSgKjn06WfaLkpY61Ulxo5Lt/5gCLtMD64Bdi8BkgIadILid2mlENdmXcJj0jHNotU4M7NcFBwf5v22vFEXB8NNKDN/9AYDT8L44T71DNsK0EVLcqMS6vo0s3mf/zCbYPs9yLK02dutcVi7bd+4HoEe3dnh5eaicSFQXxWymbN6vGH9fD4D27mFo7x4mb1RtiBQ3KjCbzbJ4X11yeDXknQRXX4gerXYaUQ2MRhN/x2zHbFYIaxRMVPMwtSOJaqIYTZR9shhjzHYAnKfegXZEf5VTiX+T4kYFR8+cIKcoH1etjujQSLXjiOp2YSBxx3tBK3sK2aMduxLIzsnD1UVH394d5R28nVL0Zej/Ow/Tjv3g4IDz4+PR9u+qdixxGVLcqODCFPB2YS1xdtKqnEZUq6zjcGSt5bjzZHWziGpxOu0se/cfBqBv7064ukoBa4+U4hJK3/gCc8IR0Dqhe3aqbIJpw6S4UcF26ZKqO3bMtyze12wg1ItQO42oYvoyA+s37ACgRWQ4YY1lrzB7pOQWUPr6HMzHToKbCy4vPoRjdDO1Y4mrkOJGBTKYuI4wlMLuby3HXe5XN4uoFps276GwsBgvT3d6dGundhxRDcyZ2ZS+8glK2lnw9sBl5jQcmzRSO5a4BlXnrG3YsIERI0YQHByMRqNh+fLlV71+0qRJaDSaS26tWrWqmcBVIDM/i+TMU2g0GjpFSJOmXUtYBsXZ4B0KkUPUTiOq2LHjJzl89AQaDQzo1wWtVt4r2hvzqQxKn3sPJe0smvq+uM6eLoVNLaFqcVNUVETbtm2ZM2dOha7/6KOPSE9Pt95OnjyJn58fd955ZzUnrToXuqSigiPwdvNUOY2oVhcGEne+DxxkUS97UlRUwoZNuwFo37YFgQ38VU4kqpo5M4fSlz5CycpF07ABLrP/DwfZ/LTWUPWtxtChQxk6dGiFr/f29sbb29t6f/ny5eTk5HDfffdVR7xqIftJ1RFpe+HkDnDUQqcJaqcRVUhRFGI27kCvL8O/ng8d27dUO5KoYkqpHv0bc1Fy8tE0Dsb1P0+gkXWLapVa3Y76zTffMGjQIBo3bnzFa/R6PXq93no/Pz+/JqJd0YWWm66yE7h92/6N5WPLW8EjQN0sokolHjzGyVNncHR0YGC/rjg6yoq09kQxm9F/uAhz8inLGJsXH5LCphaqtf8r09LSWLFiBVOnXn3F19mzZ1tbfLy9vQkNVW8fp+KyUvanJgHScmPXSnJh70+W464ykNie5OYWsHWb5Q1Kty5t8PX1UjmRqGqG7/7EtCUenJxwmfEADg3qqR1JXIdaW9wsXLgQHx8fRo0addXrZsyYQV5envV28uTJmgl4GXuSEzGaTQR61ye0XpBqOUQ1i/8eDMXQoCU07q52GlFFTGYz62K3YTSZaBjSgOiWTdWOJKqYMXYHhqUrAXCeNhbHFk1UTiSuV63sllIUhXnz5nHvvffi7Hz1beV1Oh06na6Gkl3dxSngslmm3VKUi11SXaaAvM52Y/uOBDIzc9DptPTr01n+D9sZU1Iy+k8WA6AdfRPaAd1UTiRuRK1suYmNjeXo0aNMmTJF7SiVsu2YZTCxLN5nx5I3QuZhcPaAtmPUTiOqSMqJNPbut3Qp9+3VCQ93V5UTiapkzsxB/+YXYDDi2KU12vG3qh1J3CBVW24KCws5evSo9X5ycjLx8fH4+fnRqFEjZsyYwenTp1m0aFG5533zzTd07dqV6Ojomo583cxmM7uOJwCyeJ9d23Z++ne7MeAi4zHsQX5BEX/HWjZJbB3djIjwhionElXJOjMqtwBN42B0T01CI4PEaz1Vi5udO3fSv//F3VSnT58OwMSJE1mwYAHp6emkpqaWe05eXh6//PILH330UY1mvVFJ6cfJLynETedKyxDpq7dL+elw8HfLcZerD3QXtYPJZGLNui2UlRloEOBHt87S6mpPFLMZ/QcLz8+M8sTlpYfQuMneYPZA1eKmX79+KIpyxccXLFhwyTlvb2+Ki4urMVX12HZ+fZtO4dE4OdbKoU7iWnYuBLPJMog4sPasmi2ubMu2fWSey0Gnc2bQgO4y7dvOGJb8gWnr3oszowJkZpS9kP+pNeTCYGKZAm6nTAbLJpkgrTZ24uixkyQcsHSbD+jXBU8PN5UTiapkjNmO4edVADhPuwfHFrKxrT2R4qaGXGi5kcHEdurQCihIB/f60EoGI9Z2uXkFxMbtBKB92ygah8rSDfbElJSM/tMlwIWZUV1VTiSqmhQ3NSA95yynsjNw0DjQMaL2DIIWlXBhIHHHCeBkG0sPiOtjMBpZvXYLBoORoMD6dO4oXYz2xJyZfXFmVNc2aO+VNyP2SIqbGnBhy4VWDZvi4eKuchpR5TKPwPEYy5o2nWvPPmfi8jZt3kN2Th6uLjoGDeiKg4P8mrQXSkmpdWaUQ1gIuqcmopHX1y7Jq1oDtl9Y30amgNunHecX7Yu8GXwbqZtF3JBDh1M4dDgFjQYGDeiGu5usZ2MvLDOjFmFOPg3enuhefBCNq8yMsldS3NQAGUxsx8qKYLel714GEtduWdl5xG3aDUCnDq0ICZYNT+2JYcnvmLadnxn1gsyMsndS3FSzwtIiEk4eAaCL7ARuf/b9AqV54BsGTQeqnUZcp7IyA2vWbcFoMhHasAEd2rVQO5KoQob12zD8vBoA50fvwTFKZkbZOyluqtnu5ETMipmGfoEE+8o7QbuiKLD9/EDiLlNA+u5rJUVR2BC3i9y8AtzdXBnQr6vsG2VHTIeOU/bpdwBobx+Mtr/MjKoL5LdxNZMp4Hbs9C5Ii7fMjuowXu004jodOHico8dP4qDRcNPAbri6yGw3e2HOzKH0zS/BaMSxa1u040eoHUnUECluqtnFncClS8ruXJj+HX0buEv/fW2UeS6HTVvjAejauTWBDfzVDSSqjKIoll2+8wpwCA9B99QEmRlVh8grXY2MJiO7khMBabmxO0XnYP8vluOuMpC4NtLry1i9bgtms5mwxsG0ad1c7UiiChnXbcG89xA4a9E9O1VmRtUxUtxUowOnj1KkL8bL1YPIYBnAZld2LgKjHkLaQ8POaqcRlaQoCus37KCgoAhPT3f69+ks42zsiDkrl7J5vwKgHTscB5n5VudIcVONLize1zEiGkcHR5XTiCpjMsL282vbdH3AsnifqFX27T9Myok0HBwcGDywOzqds9qRRBVRFIWyL36EohIcmjZCO3KA2pGECqS4qUbbzw8m7ipTwO1L0krIOwluftD6drXTiEpKzzjH1h37AejZrR31/X1VTiSqkmnTbkzb9oGjA7rHxqNxlDeWdZEUN9VEURRZvM9ebf3S8rHTJNBKP35tUlKiZ+3fW1EUhaYRobSUnaDtipJfiP7LnwDQ3jEEh7AQlRMJtUhxU01OZWeQnpuJk4Mj7cNl4z27cTbp/D5SDtB5stppRCXFxu2kqLgEH29P+vTqKONs7Iz+658hrxBNoyC0d96sdhyhIiluqsmFLqnWjSJxc5Z393Zj+1eWj1HDZB+pWiY7J5+UE2loNHDTgG44O2vVjiSqkHFnAqbYHeCgsXRHaZ3UjiRUJMVNNbkwmFimgNuR0nzYbVnplG4PqJtFVFrCgaMANG4UTL16PuqGEVVKKS6h7LPvAXC6dQCOzcPUDSRUJ8VNNZGdwO1Q/A9QVgj1m0NEX7XTiErQlxk4fCQFgNatmqkbRlS5sgXLUbJy0QT643zPLWrHETZAiptqkFdcwKG044C03NgNRYFt5wcSd71fpn/XMkmHkzEaTfj6ehEcVF/tOKIKmfYfxrgqDgDdo+PQyLR+gRQ31WJXcgKKohBevyH1vWRZfrtwPBYyD4OzB7Qbq3YaUQmKoli7pKJbNpVBxHZE0Zeh/3QJAE5DeuEoq0yL86S4qQYXBhPLFHA7cmH6d/ux4OKlbhZRKaknM8jPL8LZWUvzpo3VjiOqUNmS31EyzqGp54PzpFFqxxE2RIqbaiCDie1MTioc+sty3FUGEtc2CQeOABDVPBytzKCxG6akZIy/rwfA+ZGxaNxcVU4kbIkUN1XMYDKy58JmmTKY2D7smAeKGSL6QUCk2mlEJeTmFnDy1BkAols2UTmNqCqKwWDpjjIrOPbtjFOnaLUjCRsjxU0V25+aRIlBj6+7F00bSBN4rWcohZ0LLMcy/bvWsU7/Dg3Cy8tD5TSiqhiWrkJJTQdvD3RT71A7jrBBUtxUsX9uueDgID/eWm//L1CcDd6hECkrntYmZWUGks5P/46W6d92w5xyGsPPqwDQPXAXGilaxWXIX98qdmF9GxlMbAcU5eJA4i5TwFHGa9QmSUdSMBiM+Hh70jAkQO04ogooJhP6TxaDyYxj17Y49uygdiRho6S4qUKKolgHE8tO4Hbg1E5I2wNOOug0Qe00ohLKTf9uJdO/7YXht78xH00Fd1ecHxojr6u4IiluqlBK5iky87NxdtLSpnGU2nHEjbrQatP6dnD3VzeLqJRTp8+Ql1eIVusk07/thPn0GQzf/wmA8+TROPh5q5xI2DIpbqrQhVabto2icNHqVE4jbkjhWUhYZjmWgcS1zv5ES6tNVPNw2SDTDihms2V2VJkBh3ZROA3srnYkYeOkuKlCFwYTyxRwO7BzIZjKoGEnCJF+/dokL6+Q1JPpALSS6d92wbgqDvOBY+DijO6Re6Q7SlyTFDdVaNv5lYll8b5azmSE7d9YjqXVptZJOGhptQltGIiPt6fKacSNMmdmU7ZgOQDO947EoYFsaSOuTYqbKpJdmMeRjBQAOklxU7sd+hPy0yzjbKJvUzuNqASDwUhSUjIArVs1VTmNuFGK0WTpjirV4xAVgdOwPmpHErWEzG2tIvklBQxq3ZO8onzqefioHUfciAsDiTtNssyUErXG4SMnKDMY8fbyILRhoNpxxA1Q9GXo3/kGc/wh0Dqhe2wcGlk7TFSQFDdVJKx+QxZPe0/tGOJGnTkAyRvBwRE6T1Y7jagEy/Rvyz5Ssvt37aYUl1D6n7mYE4+Csxbdc1NxkGJVVIIUN0L807avLB9b3AI+DdXNIirldNpZcnIL0GqdiGwepnYccZ2U/EJKX52D+VgquLrg8vJDOMoK06KSpLgR4oKSXNjzveVYdv+udRLOT/9u3qyxTP+upcxZuZS+8gnKqQzw8sBl5jQcmzZSO5aohaS4EeKCPd+BoRgCWkB4L7XTiErILygiJTUNsHRJidrHnH6W0lc+RTmbhaaeDy6vPyZdUeK6SXEjBIDZfLFLqtsDIOM1apXE81stNAxpgK+Pl8ppRGWZU05T+uqnKDn5aILq4/LaYzLlW9wQKW6EADj2N2QdA50XtB2jdhpRCQaDkYMy/bvWMiUlU/r6Z1BYjENYCLpXp+HgK1sriBsjxY0QcHH6d4dxoPNQN4uolCPHUikrM+Dl6U5owyC144hKMO09ROmbX0BpGQ6R4bi88ggaDze1Ywk7IMWNENnJcHiV5bjrVHWziEpRFIWERMv071Ytm+LgIN2JtYVx6170/50HRiMObaNwmXE/GlcXtWMJOyHFjRDbvwFFgWYDwV+mnNYmaemZZOfk4+TkSJRM/641DOu3UfbxYjCbcezWFt3T96HRygw3UXWkuBF1W1kx7FpkOZbp37WOdfp308bodM4qpxEVYfgjhrKvlgLgNKArzo+OQ+PoqHIqYW+kuBF1276fLevb+IZB88FqpxGVUFBQRErqaQCiZSCxzVMUBcPSlRiW/AGA0y39cJ5yu2ypIKqFFDei7lIU2HZ+IHHXqZYtF0StkXjwGIoCIcEB+MnsGpumKApl83/F+NvfAGjvHob27mGyRYaoNlLciLorZTOk7wMnF+gwXu00ohKMRpN1+re02tg2xWSm7LPvMa7dDIDzlNvR3jpA5VTC3klxI+quje9bPrYbC25+6mYRlXLkWCp6fRmeHm40Dg1WO464irJFyy2FjYMG52nj0A7qrnYkUQdIcSPqpvR9cHgNaByg9xNqpxGVINO/aw9T4lFrV5TuqUk49emkciJRV8hILlE3bTjfahN9G9SLUDeLqJSMM+fIys7DydGRqObhascRV6Doy9B/shgUBaeB3aSwETVKihtR95w7CgnLLcd9/0/VKKLy9p+f/t2saSNcXGT6t60q+/Z/KOmZaOr54Dz5drXjiDpG1eJmw4YNjBgxguDgYDQaDcuXL7/mc/R6PS+++CKNGzdGp9MRFhbGvHnzqj+ssB8bPwLFDJFDIDBa7TSiEgqLiklOuTD9WxZctFWmxCMY/4gBwHnaPbKlgqhxqo65KSoqom3btkyePJnRo0dX6Dl33XUXZ86c4ZtvvqFp06akp6djNpurOamwG/lpEP+d5biPtNrUNjt2JqIoCkGB9annJ9O/bZFSqkf/8fnuqEE9cOrYSu1Iog5StbgZOnQoQ4cOrfD1K1euJDY2luPHj+PnZ5ndEhYWVk3phF3a9CmYDNC4BzTupnYaUQmn086SdCQFgK6dW6sbRlxR2aLfUDLOne+OqtibViGqWq2aLfW///2PTp068c477/Dtt9/i7u7OrbfeyqxZs3B1db3sc/R6PXq93no/Ly8PgPz8/BrJLGxIcTZs/AYMCnR8EOTfQK1hNJpYsXojJSXFtIgMx81VK/+HbZDpwDFKl68BQDdpJEaTAfINKqcS9uLC/3lFUa55ba0qbo4fP05cXBwuLi4sW7aMc+fO8cgjj5CVlcX8+fMv+5zZs2fz2muvXXI+NDS0uuMKW/auvKMUolqt+FrtBMJOFRQU4O199W5pjVKREqgGaDQali1bxqhRo654zeDBg9m4cSMZGRnWb+zXX3/ljjvuoKio6LKtN/9uuTGbzWRnZ1OvXr06ufR3fn4+oaGhnDx5Ei8vL7XjiPPkdbFd8trYJnldbFd1vTaKolBQUEBwcDAO19iTrFa13AQFBRESElKuYmvRogWKonDq1CmaNbt09oROp0On05U75+PjU91RbZ6Xl5f8QrBB8rrYLnltbJO8LrarOl6ba7XYXFCr1rnp2bMnaWlpFBYWWs8dPnwYBwcHGjZsqGIyIYQQQtgKVYubwsJC4uPjiY+PByA5OZn4+HhSU1MBmDFjBhMmTLBef88991CvXj3uu+8+Dhw4wIYNG3jmmWeYPHnyFQcUCyGEEKJuUbW42blzJ+3bt6d9+/YATJ8+nfbt2/PKK68AkJ6ebi10ADw8PFizZg25ubl06tSJcePGMWLECD7++GNV8tdGOp2OmTNnXtJVJ9Qlr4vtktfGNsnrYrts4bWxmQHFQgghhBBVoVaNuRFCCCGEuBYpboQQQghhV6S4EUIIIYRdkeJGCCGEEHZFihs7NGfOHMLCwnBxcaFr165s3779itcuWLAAjUZT7ubi4lKDaeuGDRs2MGLECIKDg9FoNCxfvvyaz4mJiaFDhw7odDqaNm3KggULqj1nXVPZ1yUmJuaS/y8ajYaMjIyaCVxHzJ49m86dO+Pp6UlAQACjRo0iKSnpms9bunQpUVFRuLi40Lp1a/76668aSFu3XM9ro8bfGSlu7MyPP/7I9OnTmTlzJrt376Zt27YMGTKEs2fPXvE5Xl5epKenW28nTpyowcR1Q1FREW3btmXOnDkVuj45OZnhw4fTv39/4uPjefLJJ5k6dSqrVq2q5qR1S2VflwuSkpLK/Z8JCAiopoR1U2xsLNOmTWPr1q2sWbMGg8HA4MGDKSoquuJzNm/ezNixY5kyZQp79uxh1KhRjBo1ioSEhBpMbv+u57UBFf7OKMKudOnSRZk2bZr1vslkUoKDg5XZs2df9vr58+cr3t7eNZROKIqiAMqyZcuues2zzz6rtGrVqty5MWPGKEOGDKnGZHVbRV6X9evXK4CSk5NTI5mExdmzZxVAiY2NveI1d911lzJ8+PBy57p27ao8+OCD1R2vTqvIa6PG3xlpubEjZWVl7Nq1i0GDBlnPOTg4MGjQILZs2XLF5xUWFtK4cWNCQ0MZOXIkiYmJNRFXXMWWLVvKvY4AQ4YMuerrKGpOu3btCAoK4qabbmLTpk1qx7F7eXl5APj5+V3xGvk/o46KvDZQ839npLixI+fOncNkMtGgQYNy5xs0aHDFMQGRkZHMmzeP3377jcWLF2M2m+nRowenTp2qicjiCjIyMi77Oubn51NSUqJSKhEUFMTcuXP55Zdf+OWXXwgNDaVfv37s3r1b7Wh2y2w28+STT9KzZ0+io6OveN2V/s/IeKjqU9HXRo2/M7VqV3BR9bp370737t2t93v06EGLFi344osvmDVrlorJhLA9kZGRREZGWu/36NGDY8eO8cEHH/Dtt9+qmMx+TZs2jYSEBOLi4tSOIv6loq+NGn9npOXGjvj7++Po6MiZM2fKnT9z5gyBgYEV+hxarZb27dtz9OjR6ogoKigwMPCyr6OXl5dsEmtjunTpIv9fqsmjjz7KH3/8wfr162nYsOFVr73S/5mK/u4TlVOZ1+bfauLvjBQ3dsTZ2ZmOHTuybt066zmz2cy6devKVc1XYzKZ2L9/P0FBQdUVU1RA9+7dy72OAGvWrKnw6yhqTnx8vPx/qWKKovDoo4+ybNky/v77b8LDw6/5HPk/UzOu57X5txr5O1Ojw5dFtfvhhx8UnU6nLFiwQDlw4IDywAMPKD4+PkpGRoaiKIpy7733Ks8//7z1+tdee01ZtWqVcuzYMWXXrl3K3Xffrbi4uCiJiYlqfQt2qaCgQNmzZ4+yZ88eBVDef/99Zc+ePcqJEycURVGU559/Xrn33nut1x8/flxxc3NTnnnmGeXgwYPKnDlzFEdHR2XlypVqfQt2qbKvywcffKAsX75cOXLkiLJ//37liSeeUBwcHJS1a9eq9S3YpYcffljx9vZWYmJilPT0dOutuLjYes2/f5dt2rRJcXJyUt59913l4MGDysyZMxWtVqvs379fjW/Bbl3Pa6PG3xkpbuzQJ598ojRq1EhxdnZWunTpomzdutX6WN++fZWJEyda7z/55JPWaxs0aKAMGzZM2b17twqp7duFKcT/vl14LSZOnKj07dv3kue0a9dOcXZ2ViIiIpT58+fXeG57V9nX5e2331aaNGmiuLi4KH5+fkq/fv2Uv//+W53wduxyrwlQ7v/Av3+XKYqi/PTTT0rz5s0VZ2dnpVWrVsqff/5Zs8HrgOt5bdT4O6M5H1YIIYQQwi7ImBshhBBC2BUpboQQQghhV6S4EUIIIYRdkeJGCCGEEHZFihshhBBC2BUpboQQQghhV6S4EUIIIYRdkeJGCCGEEHZFihshhBBC2BUpboQQqunXrx9PPvnkDV9Tlaoq0/XmzsrKIiAggJSUlEo/t7Luvvtu3nvvvWr/OkLUNCluhLBRc+fOxdPTE6PRaD1XWFiIVqulX79+5a6NiYlBo9Fw7NixGk55Y3799VdmzZqldoxyridTVRZgb7zxBiNHjiQsLKxKPt/VvPTSS7zxxhvk5eVV+9cSoiZJcSOEjerfvz+FhYXs3LnTem7jxo0EBgaybds2SktLrefXr19Po0aNaNKkiRpRr5ufnx+enp5qxyhHzUzFxcV88803TJkypUa+XnR0NE2aNGHx4sU18vWEqClS3AhhoyIjIwkKCiImJsZ6LiYmhpEjRxIeHs7WrVvLne/fvz8AK1eupFevXvj4+FCvXj1uueWWci06X375JcHBwZjN5nJfb+TIkUyePBkAs9nM7NmzCQ8Px9XVlbZt2/Lzzz9bry0oKGDcuHG4u7sTFBTEBx98cEnrRVhYGB9++GG5r9GuXTteffVV6/1/P6eoqIgJEybg4eFBUFDQZbtMrpXt3/744w98fHwwmUwAxMfHo9FoeP75563XTJ06lfHjx19XpkmTJhEbG8tHH32ERqNBo9FYu5TMZjPPPvssfn5+BAYGlvveL+evv/5Cp9PRrVu3cufj4uLQarXlCtqUlBQ0Gg0nTpwod/+XX36hT58+uLq60rlzZ1JTU9m4cSPdunXDzc2NgQMHkpuba/08I0aM4IcffrhqLiFqGyluhLBh/fv3Z/369db769evp1+/fvTt29d6vqSkhG3btlmLm6KiIqZPn87OnTtZt24dDg4O3HbbbdZi5s477yQrK6vc583OzmblypWMGzcOgNmzZ7No0SLmzp1LYmIiTz31FOPHjyc2NhaA6dOns2nTJv73v/+xZs0aNm7cyO7du2/4+33mmWeIjY3lt99+Y/Xq1cTExFzyea+V7d969+5NQUEBe/bsASA2NhZ/f/9yRWNsbOwlXX0VzfTRRx/RvXt37r//ftLT00lPTyc0NBSAhQsX4u7uzrZt23jnnXd4/fXXWbNmzRW//40bN9KxY8dLzsfHx9OiRQtcXFys5/bs2YOvry+NGzcGYO/evQB8/vnnvPnmm2zevJkzZ84wfvx43nrrLT799FPWr1/P3r17mT9/vvXzdOnShe3bt6PX66+YS4jaxkntAEKIK+vfvz9PPvkkRqORkpIS9uzZQ9++fTEYDMydOxeALVu2oNfrrcXN7bffXu5zzJs3j/r163PgwAGio6Px9fVl6NChfPfddwwcOBCAn3/+GX9/f/r3749er+fNN99k7dq1dO/eHYCIiAji4uL44osv6NChAwsXLiz3/Pnz5xMcHHxD32thYSHffPMNixcvtn7ehQsX0rBhQ+s118rWt2/fSz6vt7c37dq1IyYmhk6dOhETE8NTTz3Fa6+9RmFhIXl5eRw9evSyz61IJm9vb5ydnXFzcyMwMLDc89u0acPMmTMBaNasGZ9++inr1q3jpptuuuzP4MSJE5f9Oe7du5f27duXOxcfH0/btm3L3ffz8+PHH3+kXr16APTt25e4uDgSExNxc3MDoHPnzmRkZFifFxwcTFlZGRkZGdZCSYjaTlpuhLBh/fr1o6ioiB07drBx40aaN29O/fr16du3r3XcTUxMDBERETRq1AiAI0eOMHbsWCIiIvDy8rIOTE1NTbV+3nHjxvHLL79Y360vWbKEu+++GwcHB44ePUpxcTE33XQTHh4e1tuiRYs4duwYx48fx2Aw0KVLF+vn8/b2JjIy8oa+12PHjlFWVkbXrl2t5/z8/Mp93mtlu5K+ffsSExODoihs3LiR0aNH06JFC+Li4oiNjSU4OJhmzZpdV6aradOmTbn7QUFBnD179orXl5SUlGuduSA+Pp527dqVO7dnz55y5/bu3cttt91mLWzA8pqPGTPGWthcOBceHm697+rqCljG+whhL6TlRggb1rRpUxo2bMj69evJycmxti4EBwcTGhrK5s2bWb9+PQMGDLA+Z8SIETRu3JivvvrKOrYmOjqasrKyctcoisKff/5J586d2bhxIx988AFgaa0A+PPPPwkJCSmXR6fTkZ2dXaHsDg4OKIpS7pzBYKj8D+EfrpXtSvr168e8efPYu3cvWq2WqKgo+vXrR0xMTLmfa1XTarXl7ms0mkvGOv2Tv78/OTk55c6ZTCYSEhIuabnZvXt3uVa6+Ph4ZsyYUe6avXv38tRTT1nvl5aWkpSUVK7F58LrWb9+/Qp+V0LYPmm5EcLG9e/fn5iYGGJiYsqNC+nTpw8rVqxg+/bt1i6prKwskpKSeOmllxg4cCAtWrS45I8lgIuLC6NHj2bJkiV8//33REZG0qFDBwBatmyJTqcjNTWVpk2blruFhoYSERGBVqtlx44d1s+Xl5fH4cOHy32N+vXrk56ebr2fn59PcnLyFb/PJk2aoNVq2bZtm/VcTk5Ouc97rWxXcmHczQcffGAtZC4UN//+uVY2E4Czs7N1wPKNaN++PQcOHCh3LikpidLS0nLdVVu2bOH06dPWlpv8/HxSUlLKFUDJycnk5eWVO7d//34URaF169bWcwkJCTRs2BB/f/8bzi+ErZCWGyFsXP/+/Zk2bRoGg6FcC0Pfvn159NFHKSsrsxY3vr6+1KtXjy+//JKgoCBSU1PLzQr6p3HjxnHLLbeQmJhonSkE4OnpydNPP81TTz2F2WymV69e5OXlsWnTJry8vJg4cSITJ07kmWeewc/Pj4CAAGbOnImDgwMajcb6eQYMGMCCBQsYMWIEPj4+vPLKKzg6Ol7x+/Tw8GDKlCk888wz1KtXj4CAAF588UUcHC6+B6tItsvx9fWlTZs2LFmyhE8//RSwFId33XXXJT/XymYCy8ywbdu2kZKSgoeHB35+flf8Pq9myJAhzJgxg5ycHHx9fQFLiwzAJ598wuOPP87Ro0d5/PHHAaytcXv37sXR0ZHo6Gjr57owBuef42ji4+Np0qQJHh4e1nMbN25k8ODB15VXCFslxY0QNq5///6UlJQQFRVFgwYNrOf79u1LQUGBdco4WLqCfvjhBx5//HGio6OJjIzk448/vmzLxIABA/Dz8yMpKYl77rmn3GOzZs2ifv36zJ49m+PHj+Pj40OHDh144YUXAHj//fd56KGHuOWWW/Dy8uLZZ5/l5MmT5caLzJgxg+TkZG655Ra8vb2ZNWvWVVtuAP773/9SWFjIiBEj8PT05P/+7/8uWWDuWtmupG/fvsTHx1t/Fn5+frRs2ZIzZ85cdQxNRTI9/fTTTJw4kZYtW1JSUnLN7/NKWrduTYcOHfjpp5948MEHAUtBMmTIEI4fP07r1q1p2bIlr732Gg8//DAff/wx3377LXv37iUyMrLcz/9yg5D37t1brkuqtLSU5cuXs3LlyuvKK4St0ij/7hQXQohKKioqIiQkhPfee6/GFqCzV3/++SfPPPMMCQkJODg4MGTIEDp37sx//vOfKv9an3/+OcuWLWP16tVV/rmFUJO03AghKm3Pnj0cOnSILl26kJeXx+uvvw5YFgIUN2b48OEcOXKE06dPExoayt69e62LK1Y1rVbLJ598Ui2fWwg1ScuNEKLS9uzZw9SpU0lKSsLZ2ZmOHTvy/vvvlxuoKm5cRkYGQUFBJCYm0rJlS7XjCFFrSHEjhBBCCLsiU8GFEEIIYVekuBFCCCGEXZHiRgghhBB2RYobIYQQQtgVKW6EEEIIYVekuBFCCCGEXZHiRgghhBB2RYobIYQQQtgVKW6EEEIIYVekuBFCCCGEXZHiRgghhBB25f8BdR30+ECQSTQAAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "for i in range(N_mode):\n", " plt.plot(ws, n_eff[:, i])\n", "\n", "plt.ylim(1.6, 2.2)\n", "plt.legend((\"TM0\", \"TM1\", \"TM2\", \"TM3\"))\n", "plt.xlabel(r\"Waveguide width ($\\mu m$)\")\n", "plt.ylabel(\"Effective index\")\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "1d8730c7", "metadata": {}, "source": [ "The input waveguides are designed to be around 400 nm in width. From the plots above, we can determine the bus waveguide width for each asymmetric directional coupler by looking for the width with the same effective index as the 400 nm waveguide. " ] }, { "cell_type": "markdown", "id": "ef50c9a1", "metadata": {}, "source": [ "## Individual Directional Coupler" ] }, { "cell_type": "markdown", "id": "2fbc13fa", "metadata": {}, "source": [ "In this section, we model six asymmetric directional couplers. The first three couplers convert the TE0 mode to the TE1, TE2, TE3 modes. The last three convert the TM0 to the TM1, TM2, and TM3 modes. \n", "\n", "The coupling length of each coupler needs to be optimized for the best coupling efficiency. This can be done by performing a parameter scan over the coupling length. Parameter scans have been demonstrated in various examples such as the [MMI power splitter](../notebooks/MMI1x4.html) and the [parameter scan tutorial](../notebooks/ParameterScan.html). For the sake of simplicity, we only perform simulations on the optimized parameter values reported in the referenced literature.\n", "\n", "\"Schematic" ] }, { "cell_type": "markdown", "id": "bf5f2c81", "metadata": {}, "source": [ "Switching the logging level back to `\"WARNING\"` so we can catch any helpful warnings." ] }, { "cell_type": "code", "execution_count": 11, "id": "a104fec9", "metadata": {}, "outputs": [], "source": [ "td.config.logging.level = \"WARNING\"" ] }, { "cell_type": "markdown", "id": "89c9ae3f", "metadata": {}, "source": [ "### Infrastructure Setup" ] }, { "cell_type": "markdown", "id": "d8690ac1", "metadata": {}, "source": [ "The asymmetric directional coupler consists of an access waveguide and a bus waveguide. The bending part is given by a cosine function. The horizontal and vertical lengths of the waveguide bend are fixed to be $B_x = 10 \\mu m$ $B_y = 1 \\mu m$. This ensures the loss at the bend is small." ] }, { "cell_type": "code", "execution_count": 12, "id": "f9db0f4e", "metadata": { "tags": [] }, "outputs": [], "source": [ "Bx = 10 # horizontal length of the waveguide bend\n", "By = 1 # vertical length of the waveguide bend" ] }, { "cell_type": "markdown", "id": "f6de46e8", "metadata": {}, "source": [ "We define a function to construct the entire directional coupler simulation. This function will be used repeatedly to simulate six directional couplers. Within this function, we use `pf.Path` to build the waveguide paths and convert them directly to `td.PolySlab` geometries." ] }, { "cell_type": "code", "execution_count": 13, "id": "fd3a2d41", "metadata": { "tags": [] }, "outputs": [], "source": [ "def make_sim(pol, w_access, w_bus, gap, l_couple):\n", " # y coordinate of the access waveguide center at the input/output\n", " y = By + (w_access + w_bus) / 2 + gap\n", "\n", " # access waveguide: straight segments connected by S-bends into the coupling region\n", " access_path = pf.Path((-3 * l_couple, y), w_access)\n", " access_path.segment((-l_couple / 2 - Bx, y))\n", " access_path.s_bend((-l_couple / 2, y - By)) # bend down into coupling region\n", " access_path.segment((l_couple / 2, y - By))\n", " access_path.s_bend((l_couple / 2 + Bx, y)) # bend back up\n", " access_path.segment((3 * l_couple, y))\n", "\n", " # bus waveguide: straight\n", " bus_path = pf.Path((-3 * l_couple, 0), w_bus)\n", " bus_path.segment((3 * l_couple, 0))\n", "\n", " # convert paths to Tidy3D structures\n", " access_wg = td.Structure(\n", " geometry=td.PolySlab(\n", " vertices=access_path.to_polygon().vertices,\n", " axis=2,\n", " slab_bounds=(-h / 2, h / 2),\n", " ),\n", " medium=si,\n", " )\n", " bus_wg = td.Structure(\n", " geometry=td.PolySlab(\n", " vertices=bus_path.to_polygon().vertices,\n", " axis=2,\n", " slab_bounds=(-h / 2, h / 2),\n", " ),\n", " medium=si,\n", " )\n", "\n", " # y coordinate of the access waveguide input\n", " y_in = (w_access + w_bus) / 2 + gap + By\n", "\n", " # simulation domain size\n", " Lx = l_couple + 2 * Bx + lda0\n", " Ly = 2 * (y_in + lda0)\n", " Lz = 10 * h\n", " sim_size = (Lx, Ly, Lz)\n", "\n", " # symmetry for each polarization\n", " if pol == \"TE\":\n", " symmetry = (0, 0, 1)\n", " elif pol == \"TM\":\n", " symmetry = (0, 0, -1)\n", " else:\n", " symmetry = (0, 0, 0)\n", "\n", " # define a mode source to launch either te0 or tm0 mode to the access waveguide\n", " mode_source = td.ModeSource(\n", " center=(-Lx / 2 + lda0 / 2, y_in, 0),\n", " size=(0, 6 * w_access, 8 * h),\n", " source_time=td.GaussianPulse(freq0=freq0, fwidth=fwidth),\n", " direction=\"+\",\n", " mode_spec=td.ModeSpec(num_modes=1, target_neff=n_si),\n", " mode_index=0,\n", " )\n", "\n", " # define a flux monitor to measure the transmission to the bus waveguide\n", " bus_flux_monitor = td.FluxMonitor(\n", " center=(Lx / 2 - lda0 / 2, 0, 0),\n", " size=(0, 2 * w_bus, 6 * h),\n", " freqs=freqs,\n", " name=\"bus_flux\",\n", " )\n", "\n", " # define a field monitor to visualize the field distribution in the xy plane\n", " field_monitor = td.FieldMonitor(\n", " center=(0, 0, 0), size=(td.inf, td.inf, 0), freqs=[freq0], name=\"field\"\n", " )\n", "\n", " # define a mode monitor to check the mode composition at the bus waveguide\n", " bus_mode_monitor = td.ModeMonitor(\n", " center=(Lx / 2 - lda0 / 2, 0, 0),\n", " size=(0, 2 * w_bus, 6 * h),\n", " freqs=freqs,\n", " mode_spec=td.ModeSpec(num_modes=4, target_neff=n_si),\n", " name=\"bus_mode\",\n", " )\n", "\n", " run_time = 2e-12 # simulation run time\n", "\n", " # define simulation\n", " sim = td.Simulation(\n", " size=sim_size,\n", " grid_spec=td.GridSpec.auto(min_steps_per_wvl=15, wavelength=lda0),\n", " structures=[access_wg, bus_wg],\n", " sources=[mode_source],\n", " monitors=[bus_flux_monitor, field_monitor, bus_mode_monitor],\n", " run_time=run_time,\n", " boundary_spec=td.BoundarySpec.all_sides(boundary=td.PML()),\n", " medium=sio2, # background medium: substrate and top cladding\n", " symmetry=symmetry,\n", " )\n", "\n", " return sim" ] }, { "cell_type": "markdown", "id": "03f64040", "metadata": {}, "source": [ "Lastly, we create a dictionary to store the optimized design parameters. The values are taken from the [reference](https://onlinelibrary.wiley.com/doi/full/10.1002/lpor.201300157)." ] }, { "cell_type": "code", "execution_count": 14, "id": "d74e527a", "metadata": { "tags": [] }, "outputs": [], "source": [ "design_params = {\n", " \"TM1\": {\"w_access\": 0.4, \"w_bus\": 1.035, \"gap\": 0.3, \"l_couple\": 4.6},\n", " \"TM2\": {\"w_access\": 0.4, \"w_bus\": 1.695, \"gap\": 0.3, \"l_couple\": 6.8},\n", " \"TM3\": {\"w_access\": 0.4, \"w_bus\": 2.363, \"gap\": 0.3, \"l_couple\": 9},\n", " \"TE1\": {\"w_access\": 0.4, \"w_bus\": 0.835, \"gap\": 0.2, \"l_couple\": 15.5},\n", " \"TE2\": {\"w_access\": 0.406, \"w_bus\": 1.29, \"gap\": 0.2, \"l_couple\": 21.3},\n", " \"TE3\": {\"w_access\": 0.379, \"w_bus\": 1.631, \"gap\": 0.2, \"l_couple\": 17.6},\n", "}" ] }, { "cell_type": "markdown", "id": "7342b080", "metadata": {}, "source": [ "### TE0 to TE3 Conversion " ] }, { "cell_type": "markdown", "id": "b2a93abe", "metadata": {}, "source": [ "With the infrastructure setup above, we are ready to perform simulations for the six directional couplers. First, we model the TE0 to TE3 coupler." ] }, { "cell_type": "markdown", "id": "ae49da09", "metadata": {}, "source": [ "#### Simulation Setup " ] }, { "cell_type": "markdown", "id": "9ac89966", "metadata": {}, "source": [ "We use the `make_sim` function to define the simulation given the access waveguide width, the bus waveguide width, the coupling regime length, and the polarization. Using the `plot` function, we can visualize the simulation setup. " ] }, { "cell_type": "code", "execution_count": 15, "id": "2cb1520e", "metadata": { "tags": [] }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sim = make_sim(\"TE\", **design_params[\"TE3\"])\n", "\n", "ax = sim.plot(z=0)\n", "ax.set_aspect(\"auto\")" ] }, { "cell_type": "markdown", "id": "7066812b", "metadata": {}, "source": [ "Before submitting the simulation job to the server, we can use the `ModeSolver` again to visualize the first four TE modes supported in the bus waveguide." ] }, { "cell_type": "code", "execution_count": 16, "id": "9bdf420f", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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wavelengthn effk effTE (Ey) fractionwg TE fractionwg TM fractionmode area
fmode_index
1.934145e+1401.552.9042730.00.9996830.9742630.8153570.357358
11.552.7889600.00.9984850.8983000.8267860.404715
21.552.5871610.00.9952370.7769440.8462600.487466
31.552.2811650.00.9850640.6243600.8743630.590876
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" ], "text/plain": [ " wavelength n eff k eff TE (Ey) fraction \\\n", "f mode_index \n", "1.934145e+14 0 1.55 2.904273 0.0 0.999683 \n", " 1 1.55 2.788960 0.0 0.998485 \n", " 2 1.55 2.587161 0.0 0.995237 \n", " 3 1.55 2.281165 0.0 0.985064 \n", "\n", " wg TE fraction wg TM fraction mode area \n", "f mode_index \n", "1.934145e+14 0 0.974263 0.815357 0.357358 \n", " 1 0.898300 0.826786 0.404715 \n", " 2 0.776944 0.846260 0.487466 \n", " 3 0.624360 0.874363 0.590876 " ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# define mode solver\n", "mode_solver = ModeSolver(\n", " simulation=sim,\n", " plane=td.Box(\n", " center=sim.monitors[0].center,\n", " size=sim.monitors[0].size,\n", " ),\n", " mode_spec=td.ModeSpec(num_modes=4, target_neff=n_si),\n", " freqs=[freq0],\n", ")\n", "\n", "mode_data = mode_solver.solve()\n", "mode_data.to_dataframe()" ] }, { "cell_type": "markdown", "id": "18409320", "metadata": {}, "source": [ "For the TE modes, the dominant electric field is in the $y$ direction. Here we visualize $E_y$ for the four modes." ] }, { "cell_type": "code", "execution_count": 17, "id": "45f0446a", "metadata": { "tags": [] }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mode_indices = [0, 1, 2, 3]\n", "\n", "f, ax = plt.subplots(4, 1, tight_layout=True, figsize=(5, 8))\n", "\n", "for i, mode_index in enumerate(mode_indices):\n", " abs(mode_data.Ey.isel(mode_index=mode_index)).plot(x=\"y\", y=\"z\", ax=ax[i], cmap=\"magma\")\n", " ax[i].set_title(f\"|Ey(x, y)| of the TE{i} mode\")" ] }, { "cell_type": "markdown", "id": "7ade4295", "metadata": {}, "source": [ "Submit the simulation job to the server." ] }, { "cell_type": "code", "execution_count": 18, "id": "9a594a8c", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/html": [ "
17:13:43 -03 Created task 'evanescent_coupler_te3' with resource_id             \n",
       "             'fdve-82dcc126-1499-4f50-bf79-2453e8cde47f' and task_type 'FDTD'.  \n",
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             View task using web UI at                                          \n",
       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-82dcc126-149\n",
       "             9-4f50-bf79-2453e8cde47f'.                                         \n",
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             Task folder: 'default'.                                            \n",
       "
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      "text/html": [
       "
17:13:49 -03 Estimated FlexCredit cost: 0.118. Minimum cost depends on task     \n",
       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
       "             FlexCredit cost after a simulation run.                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:13:49 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.118\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": [
       "
17:13:52 -03 status = success                                                   \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:13:52 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a72c66ae15db4c0d8bd9c74901ca6eb5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
17:14:03 -03 Loading simulation from data/simulation_data.hdf5                  \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:14:03 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from data/simulation_data.hdf5                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             WARNING: Warning messages were found in the solver log. For more   \n",
       "             information, check 'SimulationData.log' or use                     \n",
       "             'web.download_log(task_id)'.                                       \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Warning messages were found in the solver log. For more   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                     \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[31m.                                       \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "job = web.Job(simulation=sim, task_name=\"evanescent_coupler_te3\", verbose=True)\n",
    "sim_data = job.run(path=\"data/simulation_data.hdf5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03fb721c",
   "metadata": {},
   "source": [
    "#### Postprocessing and Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "36d98510",
   "metadata": {},
   "source": [
    "After the simulation is complete, we can visualize the field intensity distribution, the transmission to the bus waveguide, and the mode composition at the bus waveguide. Since similar postprocessing and visualization will be performed for other directional couplers, we define a function here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "3cfe4651",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def postprocess(sim_data, pol):\n",
    "    fig = plt.figure(constrained_layout=True)\n",
    "\n",
    "    gs = GridSpec(2, 2, figure=fig)\n",
    "    ax1 = fig.add_subplot(gs[0, :])\n",
    "    ax2 = fig.add_subplot(gs[1, 0])\n",
    "    ax3 = fig.add_subplot(gs[1, 1])\n",
    "\n",
    "    sim_data.plot_field(field_monitor_name=\"field\", field_name=\"E\", val=\"abs^2\", f=freq0, ax=ax1)\n",
    "    ax1.set_aspect(\"auto\")\n",
    "\n",
    "    T_bus = sim_data[\"bus_flux\"].flux\n",
    "\n",
    "    ax2.plot(ldas, T_bus)\n",
    "    ax2.set_xlim(1.5, 1.6)\n",
    "    ax2.set_ylim(0, 1)\n",
    "    ax2.set_xlabel(r\"Wavelength ($\\mu$m)\")\n",
    "    ax2.set_ylabel(\"Transmission to bus waveguide\")\n",
    "\n",
    "    mode_amp = sim_data[\"bus_mode\"].amps.sel(direction=\"+\")\n",
    "    mode_power = np.abs(mode_amp) ** 2 / T_bus\n",
    "    ax3.plot(ldas, mode_power)\n",
    "    ax3.set_xlim(1.5, 1.6)\n",
    "    ax3.set_xlabel(r\"Wavelength ($\\mu$m)\")\n",
    "    ax3.set_ylabel(\"Mode fraction\")\n",
    "    ax3.legend((f\"{pol}0\", f\"{pol}1\", f\"{pol}2\", f\"{pol}3\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9fff099c",
   "metadata": {},
   "source": [
    "From the field intensity distribution, we can see an efficient conversion of the TE0 mode at the access waveguide to the TE3 mode at the bus waveguide. The transmission spectrum also confirms a high transmission around 95% at 1550 nm. The mode composition shows a nearly pure TE3 mode at the bus waveguide."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "0319f06d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "postprocess(sim_data, \"TE\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d17da4e0",
   "metadata": {},
   "source": [
    "### TE0 to TE2 Conversion "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f4072175",
   "metadata": {},
   "source": [
    "We repeat the above process for the TE0 to TE2 coupler as well as the other four couplers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "da87d8c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "
17:14:05 -03 Created task 'evanescent_coupler_te2' with resource_id             \n",
       "             'fdve-aecdc2b3-da08-4c1b-a31b-f8a70552aac8' and task_type 'FDTD'.  \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:14:05 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'evanescent_coupler_te2'\u001b[0m with resource_id             \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-aecdc2b3-da08-4c1b-a31b-f8a70552aac8'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             View task using web UI at                                          \n",
       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-aecdc2b3-da0\n",
       "             8-4c1b-a31b-f8a70552aac8'.                                         \n",
       "
\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=254217;https://tidy3d.simulation.cloud/workbench?taskId=fdve-aecdc2b3-da08-4c1b-a31b-f8a70552aac8\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=371760;https://tidy3d.simulation.cloud/workbench?taskId=fdve-aecdc2b3-da08-4c1b-a31b-f8a70552aac8\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=254217;https://tidy3d.simulation.cloud/workbench?taskId=fdve-aecdc2b3-da08-4c1b-a31b-f8a70552aac8\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=17635;https://tidy3d.simulation.cloud/workbench?taskId=fdve-aecdc2b3-da08-4c1b-a31b-f8a70552aac8\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=254217;https://tidy3d.simulation.cloud/workbench?taskId=fdve-aecdc2b3-da08-4c1b-a31b-f8a70552aac8\u001b\\\u001b[32m-aecdc2b3-da0\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=254217;https://tidy3d.simulation.cloud/workbench?taskId=fdve-aecdc2b3-da08-4c1b-a31b-f8a70552aac8\u001b\\\u001b[32m8-4c1b-a31b-f8a70552aac8'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
17:14:06 -03 Task folder: 'default'.                                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:14:06 -03\u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=300311;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "600ebe42013647f1b7be77cf6b8f6462",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
17:14:10 -03 Estimated FlexCredit cost: 0.120. Minimum cost depends on task     \n",
       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
       "             FlexCredit cost after a simulation run.                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:14:10 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.120\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": [
       "
17:14:13 -03 status = queued                                                    \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:14:13 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             To cancel the simulation, use 'web.abort(task_id)' or              \n",
       "             'web.delete(task_id)' or abort/delete the task in the web UI.      \n",
       "             Terminating the Python script will not stop the job running on the \n",
       "             cloud.                                                             \n",
       "
\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": "b95072e23c1542689bcec1ec519dba48",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
17:20:15 -03 status = preprocess                                                \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:20:15 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
17:20:20 -03 starting up solver                                                 \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:20:20 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
17:20:21 -03 running solver                                                     \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:20:21 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5828575ef6274505b6fed93ce8bf9db4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
17:20:51 -03 early shutoff detected at 68%, exiting.                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:20:51 -03\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m68\u001b[0m%, exiting.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
17:20:52 -03 status = postprocess                                               \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:20:52 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e7163f08516d4b1b9aeb7ecae220cdeb",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
17:20:55 -03 status = success                                                   \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:20:55 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
17:20:57 -03 View simulation result at                                          \n",
       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-aecdc2b3-da0\n",
       "             8-4c1b-a31b-f8a70552aac8'.                                         \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:20:57 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=257480;https://tidy3d.simulation.cloud/workbench?taskId=fdve-aecdc2b3-da08-4c1b-a31b-f8a70552aac8\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=809447;https://tidy3d.simulation.cloud/workbench?taskId=fdve-aecdc2b3-da08-4c1b-a31b-f8a70552aac8\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=257480;https://tidy3d.simulation.cloud/workbench?taskId=fdve-aecdc2b3-da08-4c1b-a31b-f8a70552aac8\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=249086;https://tidy3d.simulation.cloud/workbench?taskId=fdve-aecdc2b3-da08-4c1b-a31b-f8a70552aac8\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=257480;https://tidy3d.simulation.cloud/workbench?taskId=fdve-aecdc2b3-da08-4c1b-a31b-f8a70552aac8\u001b\\\u001b[4;34m-aecdc2b3-da0\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=257480;https://tidy3d.simulation.cloud/workbench?taskId=fdve-aecdc2b3-da08-4c1b-a31b-f8a70552aac8\u001b\\\u001b[4;34m8-4c1b-a31b-f8a70552aac8'\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": "44ae3c700ca04891aac8e6287ba19c3f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
17:21:09 -03 Loading simulation from data/simulation_data.hdf5                  \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:21:09 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from data/simulation_data.hdf5                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim = make_sim(\"TE\", **design_params[\"TE2\"])\n",
    "\n",
    "job = web.Job(simulation=sim, task_name=\"evanescent_coupler_te2\", verbose=True)\n",
    "sim_data = job.run(path=\"data/simulation_data.hdf5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "fd732a51",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "postprocess(sim_data, \"TE\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2936650",
   "metadata": {},
   "source": [
    "### TE0 to TE1 Conversion "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "26a6086c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "
17:21:11 -03 Created task 'evanescent_coupler_te1' with resource_id             \n",
       "             'fdve-4469c0e6-6f38-4657-aabb-91b1cca62f5e' and task_type 'FDTD'.  \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:21:11 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'evanescent_coupler_te1'\u001b[0m with resource_id             \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-4469c0e6-6f38-4657-aabb-91b1cca62f5e'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             View task using web UI at                                          \n",
       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-4469c0e6-6f3\n",
       "             8-4657-aabb-91b1cca62f5e'.                                         \n",
       "
\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=201754;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4469c0e6-6f38-4657-aabb-91b1cca62f5e\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=547967;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4469c0e6-6f38-4657-aabb-91b1cca62f5e\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=201754;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4469c0e6-6f38-4657-aabb-91b1cca62f5e\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=410093;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4469c0e6-6f38-4657-aabb-91b1cca62f5e\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=201754;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4469c0e6-6f38-4657-aabb-91b1cca62f5e\u001b\\\u001b[32m-4469c0e6-6f3\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=201754;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4469c0e6-6f38-4657-aabb-91b1cca62f5e\u001b\\\u001b[32m8-4657-aabb-91b1cca62f5e'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             Task folder: 'default'.                                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=353792;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b657e6f6645d4d5da5369fc858f5bff8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
17:21:16 -03 Estimated FlexCredit cost: 0.099. Minimum cost depends on task     \n",
       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
       "             FlexCredit cost after a simulation run.                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:21:16 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.099\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": [
       "
17:21:19 -03 status = queued                                                    \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:21:19 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             To cancel the simulation, use 'web.abort(task_id)' or              \n",
       "             'web.delete(task_id)' or abort/delete the task in the web UI.      \n",
       "             Terminating the Python script will not stop the job running on the \n",
       "             cloud.                                                             \n",
       "
\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": {
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       "model_id": "5c3e81e4bf194d9e9cd97da669a1db76",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:57:38 -03 starting up solver                                                 \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:57:38 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:57:39 -03 running solver                                                     \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:57:39 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "52eff4a257814ab2ba8ea126df89e491",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:58:00 -03 early shutoff detected at 60%, exiting.                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:58:00 -03\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m60\u001b[0m%, exiting.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:58:01 -03 status = postprocess                                               \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:58:01 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5d2dee41a9f942f7b044f233a44ef3db",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:58:05 -03 status = success                                                   \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:58:05 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:58:07 -03 View simulation result at                                          \n",
       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-4469c0e6-6f3\n",
       "             8-4657-aabb-91b1cca62f5e'.                                         \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:58:07 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=862806;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4469c0e6-6f38-4657-aabb-91b1cca62f5e\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=91175;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4469c0e6-6f38-4657-aabb-91b1cca62f5e\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=862806;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4469c0e6-6f38-4657-aabb-91b1cca62f5e\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=713364;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4469c0e6-6f38-4657-aabb-91b1cca62f5e\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=862806;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4469c0e6-6f38-4657-aabb-91b1cca62f5e\u001b\\\u001b[4;34m-4469c0e6-6f3\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=862806;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4469c0e6-6f38-4657-aabb-91b1cca62f5e\u001b\\\u001b[4;34m8-4657-aabb-91b1cca62f5e'\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": "216b8189bb00455c9e231027d74892f8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:58:13 -03 Loading simulation from data/simulation_data.hdf5                  \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:58:13 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from data/simulation_data.hdf5                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim = make_sim(\"TE\", **design_params[\"TE1\"])\n",
    "\n",
    "job = web.Job(simulation=sim, task_name=\"evanescent_coupler_te1\", verbose=True)\n",
    "sim_data = job.run(path=\"data/simulation_data.hdf5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "df089645",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "postprocess(sim_data, \"TE\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c969833",
   "metadata": {},
   "source": [
    "### TM0 to TM3 Conversion "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "56b176c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "
18:58:15 -03 Created task 'evanescent_coupler_tm3' with resource_id             \n",
       "             'fdve-8a8b8352-3811-4ca6-b779-aa274d40718b' and task_type 'FDTD'.  \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:58:15 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'evanescent_coupler_tm3'\u001b[0m with resource_id             \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-8a8b8352-3811-4ca6-b779-aa274d40718b'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             View task using web UI at                                          \n",
       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-8a8b8352-381\n",
       "             1-4ca6-b779-aa274d40718b'.                                         \n",
       "
\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=592565;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8a8b8352-3811-4ca6-b779-aa274d40718b\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=766664;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8a8b8352-3811-4ca6-b779-aa274d40718b\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=592565;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8a8b8352-3811-4ca6-b779-aa274d40718b\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=155487;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8a8b8352-3811-4ca6-b779-aa274d40718b\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=592565;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8a8b8352-3811-4ca6-b779-aa274d40718b\u001b\\\u001b[32m-8a8b8352-381\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=592565;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8a8b8352-3811-4ca6-b779-aa274d40718b\u001b\\\u001b[32m1-4ca6-b779-aa274d40718b'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             Task folder: 'default'.                                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=579509;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3019636e7cd34e69b31db9c1dcab60dc",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:58:21 -03 Estimated FlexCredit cost: 0.108. Minimum cost depends on task     \n",
       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
       "             FlexCredit cost after a simulation run.                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:58:21 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.108\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": [
       "
18:58:23 -03 status = queued                                                    \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:58:23 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             To cancel the simulation, use 'web.abort(task_id)' or              \n",
       "             'web.delete(task_id)' or abort/delete the task in the web UI.      \n",
       "             Terminating the Python script will not stop the job running on the \n",
       "             cloud.                                                             \n",
       "
\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": "e5bae79b6efd4758aaef98d0bac81706",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:58:28 -03 status = preprocess                                                \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:58:28 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:58:33 -03 starting up solver                                                 \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:58:33 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:58:34 -03 running solver                                                     \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:58:34 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7aff234fab154be99f9f578bc5460eb8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:58:55 -03 early shutoff detected at 36%, exiting.                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:58:55 -03\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m36\u001b[0m%, exiting.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
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      "text/plain": []
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     "metadata": {},
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    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:58:56 -03 status = postprocess                                               \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:58:56 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
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       "version_minor": 0
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      "text/plain": [
       "Output()"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:59:00 -03 status = success                                                   \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:59:00 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:59:02 -03 View simulation result at                                          \n",
       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-8a8b8352-381\n",
       "             1-4ca6-b779-aa274d40718b'.                                         \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:59:02 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=288405;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8a8b8352-3811-4ca6-b779-aa274d40718b\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=116518;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8a8b8352-3811-4ca6-b779-aa274d40718b\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=288405;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8a8b8352-3811-4ca6-b779-aa274d40718b\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=432573;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8a8b8352-3811-4ca6-b779-aa274d40718b\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=288405;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8a8b8352-3811-4ca6-b779-aa274d40718b\u001b\\\u001b[4;34m-8a8b8352-381\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=288405;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8a8b8352-3811-4ca6-b779-aa274d40718b\u001b\\\u001b[4;34m1-4ca6-b779-aa274d40718b'\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": "cae36c4d72fe4f069a67bc5f70d7619d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:59:13 -03 Loading simulation from data/simulation_data.hdf5                  \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:59:13 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from data/simulation_data.hdf5                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim = make_sim(\"TM\", **design_params[\"TM3\"])\n",
    "\n",
    "job = web.Job(simulation=sim, task_name=\"evanescent_coupler_tm3\", verbose=True)\n",
    "sim_data = job.run(path=\"data/simulation_data.hdf5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e53c7226",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "postprocess(sim_data, \"TM\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27391958",
   "metadata": {},
   "source": [
    "### TM0 to TM2 Conversion "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "f63bd043",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "
18:59:15 -03 Created task 'evanescent_coupler_tm2' with resource_id             \n",
       "             'fdve-b3d93961-f341-4426-b205-2bc483f56131' and task_type 'FDTD'.  \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:59:15 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'evanescent_coupler_tm2'\u001b[0m with resource_id             \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-b3d93961-f341-4426-b205-2bc483f56131'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             View task using web UI at                                          \n",
       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-b3d93961-f34\n",
       "             1-4426-b205-2bc483f56131'.                                         \n",
       "
\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=469266;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b3d93961-f341-4426-b205-2bc483f56131\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=903287;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b3d93961-f341-4426-b205-2bc483f56131\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=469266;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b3d93961-f341-4426-b205-2bc483f56131\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=160300;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b3d93961-f341-4426-b205-2bc483f56131\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=469266;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b3d93961-f341-4426-b205-2bc483f56131\u001b\\\u001b[32m-b3d93961-f34\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=469266;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b3d93961-f341-4426-b205-2bc483f56131\u001b\\\u001b[32m1-4426-b205-2bc483f56131'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             Task folder: 'default'.                                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=742983;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6aad7be441784e72906132d9bd04fd93",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:59:20 -03 Estimated FlexCredit cost: 0.093. Minimum cost depends on task     \n",
       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
       "             FlexCredit cost after a simulation run.                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:59:20 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.093\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": [
       "
18:59:22 -03 status = queued                                                    \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:59:22 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             To cancel the simulation, use 'web.abort(task_id)' or              \n",
       "             'web.delete(task_id)' or abort/delete the task in the web UI.      \n",
       "             Terminating the Python script will not stop the job running on the \n",
       "             cloud.                                                             \n",
       "
\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": "f3025a6013c64f238c4832befaf45c9d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:59:27 -03 status = preprocess                                                \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:59:27 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:59:32 -03 starting up solver                                                 \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:59:32 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:59:33 -03 running solver                                                     \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:59:33 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0b446e2ed1d2450aad49b4de1de748e6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:59:49 -03 early shutoff detected at 32%, exiting.                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:59:49 -03\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m32\u001b[0m%, exiting.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:59:50 -03 status = postprocess                                               \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:59:50 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0bbd736a6ba1460eb397d6821dae4280",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:59:51 -03 status = success                                                   \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:59:51 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:59:53 -03 View simulation result at                                          \n",
       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-b3d93961-f34\n",
       "             1-4426-b205-2bc483f56131'.                                         \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:59:53 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=271403;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b3d93961-f341-4426-b205-2bc483f56131\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=89954;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b3d93961-f341-4426-b205-2bc483f56131\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=271403;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b3d93961-f341-4426-b205-2bc483f56131\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=422635;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b3d93961-f341-4426-b205-2bc483f56131\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=271403;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b3d93961-f341-4426-b205-2bc483f56131\u001b\\\u001b[4;34m-b3d93961-f34\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=271403;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b3d93961-f341-4426-b205-2bc483f56131\u001b\\\u001b[4;34m1-4426-b205-2bc483f56131'\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": "9436ee0a86b14f788587d7d19b15ead7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
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       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
18:59:59 -03 Loading simulation from data/simulation_data.hdf5                  \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:59:59 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from data/simulation_data.hdf5                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim = make_sim(\"TM\", **design_params[\"TM2\"])\n",
    "\n",
    "job = web.Job(simulation=sim, task_name=\"evanescent_coupler_tm2\", verbose=True)\n",
    "sim_data = job.run(path=\"data/simulation_data.hdf5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "632bfec1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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8ggsuuACXXHIJNm3ahOnTp2PgwIG44YYbAAALFizAHXfcgauuugrdunWDoih48803IcsyrrjiCgDA1KlTsXjxYgwfPhwdO3bEvn37MH36dLRr1y5umJRE9rvxxhvx3nvv4bbbbsOXX36J008/HaqqYuPGjXjvvffw2WefYcCAATjhhBPwwAMP4I9//CPOPPNMXH755QgGg1i5ciUKCgowbdo0AJp4eOWVV/Doo4/ihBNOQJs2bUzHGCt+vx9PPvkkbrrpJgwZMgTXXXedGR6nU6dOuOeee6r7ttk47bTT0Lx5c4waNQp33XUXGGN48803XcVK//798e6772LixIkYOHAgsrKycPHFF7se96677sL+/ftx77334p133rHV9e3bF3379gVQvTWK7dq1w4QJE/D0008jEolg4MCBmD17NpYsWYKZM2fapmQnTZqEf/zjHygqKjLjPl555ZU49dRTcdNNN2HDhg1mZhZVVfHII4/YzvX000/jkksuwfnnn49rr70W69evx0svvYRbbrklJjyPk7S0NJx//vn44osvXANdz507F9dffz3OOuss/Pjjj3jttdeQkZGBzz//HAMHDsRFF12U9Ni4EYlEzDimBEGkAA3ia00QDcS2bdvEyJEjRevWrUUwGBTHH3+8GD9+vAiFQkKIaHgctxA6QmjhcLp37y78fr/Iy8sT48aNE4cOHTLrt27dKm6++WbRpUsXkZaWJlq0aCHOOecc8cUXX5ht5s+fLy699FJRUFAgAoGAKCgoENddd5348ccf4/Y90f3C4bB48sknRa9evUQwGBTNmzcX/fv3F4888ogoKSmxtf373/8uTj75ZLPdkCFDxLx588z64uJiMXz4cJGdnS0AmKFynOFxDN59913zeC1atBDXX3+92Llzp63NqFGjRGZmZsz1GaFVqmLZsmXi1FNPFenp6aKgoEDce++94rPPPovpz9GjR8Wvf/1r0axZMwEgbqicIUOGeIa6sYZ/qS6qqorHH39cdOzYUQQCAdGrVy/xr3/9K6adETqoqKjIVn7w4EExZswY0bJlS5GRkSGGDBni+Rn94IMPRL9+/UQwGBTt2rUTDz74oAiHwwn18/333xeMMVuIHSM8zuOPPy6GDh0qgsGg6Ny5s/j3v/8t7r//fpGRkSEeeeQRIUT0PXSGcPJ6z4cMGSJ69eplK/v0008FALF58+aE+kwQRN1CKfwIgiAIAFog9J49e+Lqq6/GH//4RwBaZpbOnTvjjTfewOjRo+u8DyNGjABjzJzaJgiiYaE1igRBEAQAbQ3o1KlT8fLLL+Po0aP1fv4ffvgBH330kSlSCYJoeEgoEgRBECbXXHMNDh48GDflYV3Ro0cPKIqScLxTgiDqHhKKBEEQBEEQhCu0RpEgCIIgCIJwhSyKBEEQBEEQhCskFAmCIAiCIAhXKOB2gnDOsXv3bmRnZ1OieoIgCIKoAiEEjhw5goKCAkhSatulpk+fCL9fxq23emdmaqrQGsUE2blzJ9q3b9/Q3SAIgiCIRsWOHTvQrl27hu6GJ1u2bEHv3j3BGMOmTZvpXu+AhGKClJSU6CneJABkUSQIgiCI+AgAHIcPH07pvN1XXXU2cnIyUVERgs8n45///Kyhu5RS0NRzgkSnmxlIKBIEQRBEYqTycq0VK1bg009X4IeNbyIcVtCn92hMnPgt+vXr19BdSxlSe9EAQRAEQRBEHSCEwG9/dysm3HMVCgpaoVOnfIy7fQR+//tbG7prKQUJRYIgCIIgmhxz5szB5h934ne/u9YsmzTpeqxevQmffUbTzwYkFAmCIAiCaFJEIhHcd99dmDx5FLKzM8zy5s2zcf8DN+D3v78dqqo2YA9TBxKKBEEQBEE0KV577V4wBoy5ZXhM3e23j8DRoxX4xz8eaICepR4kFAmCIAiCaFK8+OJ/MHnyaPj9sT69wWAADz44Ei+8MKsBepZ6kNczQRAEQRBNiooKoH271gDnrvXt27dGRYVcz71KTVLaovjEE0+AMYYJEybEbTdr1ix0794daWlp6NOnDz755BNbvRACkydPRtu2bZGeno6hQ4di8+bNddhzgiAIgiBSGlUBFI8HrU80SVmhuHLlSvzlL39B375947b76quvcN1112HMmDFYu3YtRowYgREjRmD9+vVmm6eeegovvvgiXn31VaxYsQKZmZkYNmwYKisr6/oyCIIgCIJIVYTwfhAAUlQoHj16FNdffz1ef/11NG/ePG7bF154ARdccAF+//vfo0ePHvjjH/+IU045BS+99BIAzZr4/PPP48EHH8Sll16Kvn374p///Cd2796N2bNn18PVEARBEASRcqgqWRQTICWF4vjx4zF8+HAMHTq0yrbLly+PaTds2DAsX74cAFBUVITi4mJbm9zcXAwePNhs40YoFEJpaantQRAEQRDEMYJCQjERUs6Z5Z133sGaNWuwcuXKhNoXFxcjLy/PVpaXl4fi4mKz3ijzauPGtGnT8MgjjyTTdYIgCIIgGguCezqzgNPUs0FKWRR37NiBu+++GzNnzkRaWlqD9mXSpEkoKSkxHzt27GjQ/hAEQRAEUXswroKpivuDJ29R3LVrF2644Qa0bNkS6enp6NOnD1atWmXWJ+JYe/DgQVx//fXIyclBs2bNMGbMGBw9erTG11oTUkoorl69Gvv27cMpp5wCn88Hn8+HRYsW4cUXX4TP53ONkp6fn4+9e/fayvbu3Yv8/Hyz3ijzauNGMBhETk6O7UEQBEEQxDGCwvXpZ5dHklPPhw4dwumnnw6/349PP/0UGzZswDPPPGPzs0jEsfb666/H999/j3nz5uGjjz7C4sWLMXbs2Fq75OqQUlPP5513HtatW2cru+mmm9C9e3fcd999kOXYmEaFhYWYP3++LYTOvHnzUFhYCADo3Lkz8vPzMX/+fPTr1w8AUFpaihUrVmDcuHF1di0EQRAEQaQw8aaehYAQIsY/IRgMIhgMxjR/8skn0b59e7zxxhtmWefOnS2HszvWAsA///lP5OXlYfbs2bj22mvxww8/YO7cuVi5ciUGDBgAAPjzn/+MCy+8EH/6059QUFBQ0yuuFillUczOzkbv3r1tj8zMTLRs2RK9e/cGAIwcORKTJk0y97n77rsxd+5cPPPMM9i4cSMefvhhrFq1CnfccQcAmHEYH330UXz44YdYt24dRo4ciYKCAowYMaIhLpMgCIIgiIaGq1osRbcHV3Hw4EHk5ubaHtOmTXM91IcffogBAwbgqquuQps2bXDyySfj9ddfN+sTcaxdvnw5mjVrZopEABg6dCgkScKKFSvqaBCqJqUsiomwfft2SFJU35522ml466238OCDD+L+++9H165dMXv2bFNYAsC9996LsrIyjB07FocPH8YZZ5yBuXPnNvg6SIIgCIIgGgguvJ1WuECLFi1QVFRkK3azJgLA1q1b8corr2DixIm4//77sXLlStx1110IBAIYNWpUQo61xcXFaNOmja3e5/OhRYsWcZ1v65qUF4oLFy6Muw0AV111Fa666irPYzDGMHXqVEydOrWWe0cQBEEQRKPEiKPoUccYS9g/gXOOAQMG4PHHHwcAnHzyyVi/fj1effVVjBo1qrZ63CCk1NQzQRAEQRBEfcA4B1NV94fX2kUP2rZti549e9rKevToge3btwNIzLE2Pz8f+/bts9UrioKDBw/Gdb6ta0goEgRBEATR9OA8/iMJTj/9dGzatMlW9uOPP6Jjx44A7I61BoZjreF8W1hYiMOHD2P16tVmmwULFoBzjsGDB1f3KmtMyk89EwRBEARB1DqqHh7Hqy4J7rnnHpx22ml4/PHHcfXVV+Obb77Ba6+9htdeew2A3bG2a9eu6Ny5Mx566CGbY22PHj1wwQUX4NZbb8Wrr76KSCSCO+64A9dee22DeTwDJBQJgiAIgmiKVLFGMRkGDhyIDz74AJMmTcLUqVPRuXNnPP/887j++uvNNok41s6cORN33HEHzjvvPEiShCuuuAIvvvhitS6vtmBCCMpTkwClpaXIzc0FIANgDd0dgiAIgkhxBAAVJSUlKZe0okOHDnj74ctw2kmdXesXrNyMcc/Ow48//ljPPUs9yKJIEARBEETTI+7Uc/Ip/I5VSCgSBEEQBNH0qMWp52MZEooNAGtEU9cCtDKBIAiCOAaJG3C7fruSypBQbGhYA4nGBJemViVqSUgSBEEQjRLOvS2HnCyKBiQUCYIgCIJoeog48RLJz9eEhGJDwGT3Yt16Vy9WOpuhMAEbu8eXxs3iSFZGgiAIIuVRai+O4rEMCcUGgDG/S5mWJEcIXssrGON82IVRZxeurkKPxTmWQ0SSeCQIgiBSHq56Tz2TM4sJCcUGwCdnWrbcsigm9peMEFW3E5ZjxbRn9i+CUc+cfXARlDbhx+KJUaEf013+koAkCIIgGgQBb2cWujWZkFBsANICLW3bkkUscnBXAWhYHIGooBNCE3rCQ1hG23FXwRg9j31bOLatgjJGTAoOTwEJuItIiwWSrI8EQRBEg6CqFEcxAUgoEgRBEATR9FCEtk7RDZUMFgYkFBuAloEunnUCKrjDQig5pqc5NAuhYVE02gvYLX9cbyN0K6VRb7UoGhZMazujztzPxfJotmUALMeN2gf1fYSLgw5ztIl2Wq8mKyNBEER1aOg4vY3qt5q8nhOChGIDcILo4VknhDBkICQwSGBglliLQggoegujHQeHsEzxcgioTAFnHAoUqIhorRgHhyYIuVDBEQEHBxf2Z0M0chExhaKboORCSUBI6uLV0UYrc4jIOAIy3o9fo/phIgiCcKGhBZ7WiWr2obGKKi68vZvJ69mEhGIDcHxmuuf6WdUSKF5igMwAWWKQ9e+vEECEC7OdKgSE0MShgdDLFSGgcAFF6PJQCFOIqlChgENlCiKIQGGKJi6hms+KCJkiUxURbS+hQAgVXCjgIqJvOyyXNmukovcpuk7SuvZRs0I6HWfkqp1lPNY5kmgkCCKVqFUB2FAJGqrC0i8mGtHvcLzMLI1V/NYBJBQbgJyA7gri+Bxqgi/6h4wsAQEJCEgMfklA0r+LES5BNQUjM/eTEP2+Rri29MIQlaoQ5vlUU0AKqEIgwrn2LFSoUMEhNDskiyDCwlChQGURKCwCVUTAEYEKBYqohBCGiDSsjBG9LCooY6axmWGF9IHDyLOp6nUSAMsUtptwBLf/YMZxjmk0P1gEQTR6aiwKa00IOqNpJGMdc4vEkSiNzAqnUhzFRCChmCT5+W0hSTX5IgHN87OhcgGVRwWc0F+rHGBcs/xJDPAxgQwZyPZxBMHBVYEIB8KKQEgBwpwhpH/OgzKQ6RPwMyAigJAKVKoSFCEAMMhMs0xyAYR1ASlEdD1vmAsoPGqlDHOuC01NRCr6cwSa9THEQrqQjBWRqoiAiwgUEbJNYRsCUoCDc8UUkq7T1lABBrvV0eJlbZ+ytlolydpIEETdUC0xWG8CUIIkaQ9Zls3X2gOQZRmMMfOhdc35WrYtd0oODghh/tZyzlFcvLOax6oHVE7OLAlAQjFJ8vLyIMvumVUS5d6lZ8ZvwAWgKEAkAhYJARWVYEfLgLJyoLQMKKmAqIiAVygQ5REopRyhg0DJoQB+ORrEoUoZxWUyDoeAQxUckUoOiXNkyxwZTIWiCJRGGBQOpMkCPqaJRUNUMkiQGRDmEsLcmOLWHmFVmOKxUuXm1HZEcKiCIwIFERYxRWSIlbsKSO1ZgcpD2vpIbrVKWtc+2qeyjTWPUccZHmt19JiqJtFIEESyJCwMqy2urOKPm2U+nw9+vwyfzwefzwdZluHzBfTXEvw+f7Tc7zdFoPV47oIv/v2r+iJRW0MveAhcX3KkqmpKC0XBBYTH1LNXeVOEhGIqIjEg4AcCfghkAM3cY38y/RHQH9kA2nkckv3yC9iuPcD+wxAHyxDZdhSlO2Xs2Z+BHaUB7C1j2FcmcLBcgY9z5EoKQgpQpmhWyDRZs0CGuQRVt9hFuIywqk+XC0DhmoiMcIGwKhDmHBVcMae0IyyCCCIIS2EoCCHCQgiLck04QlvvyHUhybliWh9VHnZ4YMeKR7vV0c3T2qiL9awm0UgQBJCAKExKRLlZ/zTrXiDgQyAQgN/vh98fhN/vR8Dvhz8QRCDgh88XsFn5DHEXK+Ikvd/Oc8X20xqL115ee+sehRBQhAIIperGqUA8ZxYvb+gmCAnFJoJo2RKiZTTQtw9AC/3Ry9GW7S0G27oDyvrdqNgawa6dmdhyMA07Shn2HFFRWamiOVOhCIZKSSBNZpCZQIRLiOjfLUUIVCpAmPuj6ym5Np0d4hxhriLEVVQgZK6FjDBNPCoiBAUh0/oY4RW2tY+GkLQ6zLgLR8CwOArjh5TFTlHXa45tgiBShrjCMCEB5bQGSmCMIRDwIRgMIhBIQzAYRDAQQDAtHYFAED6fz0P8uYk+Qyx6WwljRaJRkdwSqdoQjEIIMO4DEKrxseoFmnpOCBKKRAwiLx8iLx9SIZAJoJv+MGAlJWAbf4LyzTaU/iTw064sbD7ox9ZDAhXlEbSUOSJC+4nL1ddzqkIzlKpCQqWqOduEVYEKJQMRIRBWtenrEFcRFhGEWBgRRBCSKhGSy03xqIhKqMaUte51rfKQKRw5V+A6XW2sg7RaG61rG11C8NS1cCSBShD1R81FoYH2m+bzSUhLS0NaWgbS09KQlp6BtLR0BAIBUwhaRWBU0HmLv9oSfdVB1JqXbyPKaEJezwlBQpFIGpGbCzG4P6TB/dGMCwz6YSMG/rQbyrajOFCUgU0HmmHLIQa1REGWUKBUKjhSpiANKrgAZMa0ZZg+ICAzfe2jpE1Zcx8qVR/CPICQUBERGShnaQizMMKsAhFUQmEh7SFCkEUECiQtpI+IQGI+yxpHxYxICUSg+/QAAJiZrtBhaXRxhElWyCW72D2R9iQmCaJ61HQ6ORAIID09E+npQV0YpiM9LV1zatTXBCYjDOOKwtoShC5pYOsDr3SyqYpQBYSHRVGQRdGEhCJRMyQG3qsH0KsHZAB5+uMso3rxciibS3F0i4SNu5phwwEZuw5FkMkjiFQqCJar8EsCYS6ZcSHDXDYtjmEuUKFkIcQ5KrmKkFBQySptzjIh+ahmcdQ9rFUe0qaoeUSP96hoFkehxJmeZrFWRh2muV7X35i6QNlqCCIxaiIM09PTkZ6ejoyMDGRkZCI9PR0+2QeYnsDW6WK7GKxVIegQek4B5mX9EzEC0fs3oq5EneCNZH0iUMXUc+MSvXVJSgnFadOm4f3338fGjRuRnp6O0047DU8++SROPPHEuPvNmjULDz30EH7++Wd07doVTz75JC688EKzXgiBKVOm4PXXX8fhw4dx+umn45VXXkHXrl2T7uORI0dq7PW889aPAQbIkoAsc/j8ArJPQJIFmCQg+QA5ICBnSJAyJUiZPrB0P1jQB6T5gZwMICcTIicHIjcHyMqqUX/qEn5WIaSzgBwAg/QHAEgr10JdtxNbV2Zj/b40bD6gQqlUEIiEUHJURUASENDWPEZ07+uwClSqApVqBsKq0IQjV3FUVCDMQto0NbNPUys8BFWEEFErbWsbY6eoI/bsMZYf3KiAjLm6uhw6Oy43Bq8bYn0KyFTIJkGCuWlTXWGYkZGBzMzMqChMSweTJMRaCA1BGGsZTFgMGr8ntt8Vy2vL9zsq9oRr22goMefn3prC1VnHwbnx0MKvGQ8Ibt923T9xrKlgVTXFp6GF8DYC0NSzSUoJxUWLFmH8+PEYOHAgFEXB/fffj/PPPx8bNmxAZmam6z5fffUVrrvuOkybNg0XXXQR3nrrLYwYMQJr1qxB7969AQBPPfUUXnzxRfzjH/9A586d8dBDD2HYsGHYsGED0tLSkurj1q1b4KEaEubRMuMVA4OsZ2AxfoS0FTBGsG2/xOCXAMYUqEygUkRwMFyGsNivec/JEjKCEnLSZGQHJeSkMTQPAh2yI2iRGUF2ZhgZ2Sr8uYCvhQRf2yygYz54txMAv79G11ET+MCTwQaejC43A0bma+nnnyFW/YjStQq++6kZvtsL/FIaQbYaxtEKAX9AszxGuBbaJ8R9ULhAWSQNlSo3hWOlCCPEwgixSoTlCoRQjkq51GZxdDrGaNPVUacYwPjBVsHg/EvdeK3/wWBmmpHs2wmQmMjhca0gzh+0mgjIVBB+yZJsn0lYNk5qEqYmEAggMzNTf2QhMyMzYVGYkIXQKgAdHr9R8WUXgFHxZxV+TrGn1SmKAlVRoCgKFFV7VlWubSthqKpqPqKCkJvbtbf+MAEscRTjWTRTAaECQvFKk1a/fUllmKjXT1By7N+/H23atMGiRYtw1llnuba55pprUFZWho8++sgsO/XUU9GvXz+8+uqrEEKgoKAAv/3tb/G73/0OAFBSUoK8vDzMmDED1157retxQ6EQQqGo51ZpaSnat28PTRzU7GZ6Y94D5r2dMc3Jw+1H0CfpKfwYM3/7FC4QUmGGqDFEZkBmelvNcaRC0WId+iWGoMyQJgN+v4RKSDjCgZx0P1plyWiVKSM/E2iXHUF+8wrktgkjkC/B1y4X4uTuEG3a1Ohaawo7fAh8zlc4sJbhm225+F+xCqUyDDkUwdGwdn1h3aM6xIGQHuexUtUcZCq5ggqh4Cgr04Qjq0BEVEJByAwIroiQbbraPRVhbFBwg9jpHsD5K+PexsCjLmb6Kd5X1esY1fx6p2qqsKqoxZ8zEpQNS3WFoSzLFlGYiazMbMg+H7xFIcBYbPgZL8cSr2lg7TseKwKjt1jV8lqrj4TDiEQiCEfCCIcjiERCiEQitoeiNKKpXMBFKKooKSlBTk5OQ/Yqhg4dOuBfF/TGaR3c73Ffbt2D8UuL8OOPP9Zzz1KPlLIoOikpKQEAtGjRwrPN8uXLMXHiRFvZsGHDMHv2bABAUVERiouLMXToULM+NzcXgwcPxvLlyz2F4rRp0/DII4/U8Arc2VFZZtuWHD+IRt5m7WeMQWZSTBAGzUXD+NuXwcckPfMKM1P9McYQVgVCKkOFxCCFVQAqVA4crYggXMKwlwH/E5rAYgAy/X5kpssIS2EcFevRJtuPtjkyOucKdGlZgTZ5FUhrC/g65UIM7gPRrHmdjJGBaNYcbNRwtB4FDIf2kH7YCPWbLTi4lmNlUS4Wb1eRrSgIVEYQlBh8EkOYa3EeFe5DuSJQoaTroXlURISKECJaYHCpEhGEUCGXQkUkJqajMy0hgJi81oBzGolbhKHzphI79RQrInWRyez7mOspYwYpmq1GO641fmT88U2G+rY2VkuouawxrfpE7uchJ6P6I6nPFjO/GABjyEhPR2ZWlmktTAum2ZxMGDNuc4lbCzUnOPvUsNUi6GUNtFoBIQQikQgqQ5UIhzXDQzgcNp/D4XDi11wVKWTvaVTfCVV4WhTJmSVKygpFzjkmTJiA008/3ZxCdqO4uBh5eXm2sry8PBQXF5v1RplXGzcmTZpkE6BRi2LN2SkXgQtNDEgsdr0j14WI8eMlMRkMEiSXiPqSkMw6JiT4hA+SkCDDp4lMoT8bJYzBBwY/k+GTGHx6+iYJmmVSFUBZRAGgQADYe6QSh4qBdXpA7TSfjJwMP+CPoER8h+OaBXB8cwk9W1fiuLwjyOgE+E5sA9GzG0SLuhGRvEd3sB7d0XIUcAGACyIRSF+tQuibvdjyfSa+2RnEhn0RyKEIZJWDMYZsv4QwF4hw7SMf4cIMEB7iKspFxMwqo0KBIimIIASVKbpwjJhCkoObzzbRiGjWGCG4Xq+1AWKFYew0d+wUt+Z4EytEbTDVVhe95VZ3DWViC+69AvjGI75l1XF8AAldQ8wxY78ncW9eiYrLJNaJuu7emG6gdUx10+AF/H5NEGZlVTGFDFiFodPRxImwWP68BKGnGFQiqKysRGVlBSorKlAZiorChCfs6lHo0ecwiiChmBApKxTHjx+P9evXY+nSpQ1y/mAwiGAwWCfHPhjZattmNmuQGnMzNX/kXG6A0ToJjMmQIIExCTL8es5OSSuDDJn5wSDBJ/yQ4YfMffAJH2T4IAsZPsjwwweZSfDplkw/k+CXmGmtjHCgUgmDMQYhBHYeLsfOn4EvuEBawI/cLB9CUgUi8noUNAtgcL6CE/NL0axLBL7eeeB9ewI52bU7oH4/+JBC+IcA3aE9AM1hRvlmG/b+T8ZnW5vjh30RHCgNIUdocR7DqkBAZgirPlQo2npNVWjikUPoube1+I4KuJnjWoEKVVKgvdKmqjnj4FChCm3bKiqtAtIpLrmI2OqM10ab6LbdcuklLJ1lyXo2esZxM+qrGb7D7JOHPojXT29xabe8xmsf3xoLOMWl683UPE/di8oq+9LISDpkFGOaB3JGhulskpGeESckjTVYtWX62PF59XIaqUoQCsERCoVsYlATh5XeDhu1LP6Ohc9ByhFdUeReRwBIUaF4xx134KOPPsLixYvRrp1XUjqN/Px87N2711a2d+9e5Ofnm/VGWdu2bW1t+vXrV7sdT5CK8CHzh8ltygOIvdm53aCd+2pTKYYV0m+WGeKRMU0wMiZBYn5IsDxL+jP8kJk/KiaFD34loIlI4YcfPviZDBkMfkkTkrLE4GcMIVVFeUiFxLS1ndsPMGzbDAiJoVl2BirlCrDAdzi+VQA9Wwqc2PoQWp/pAwb0hDiuoBZG1g4feDKkgSejLYDRABCOQNrwA9TvtuPI+gi2bM/C2r0BbDygoPxQJZr5GFQuUKFoAtIvwVwPKjEtWkJECKh6gFYtv7WAKjggNBuske9agQqVqeDgWoxHXUwaIlJhuqAUEQiouqDUBKIhLo0Uhm4WS+PZKS6BeFPayVFdUegkXj+cdW6C0SZ8XY/lqLdokvhrSVV7W0t9otP82jlqKCq1k3tWNdYp8ETFYSAQQFpaGtIzMvTQNJlIS0vT9reKQBeLoXYed3FoXwIC2NcPOtcO6mJPCHDBUVFRjvKyMlRUVqK8vBwVFRXgRkq3WhCAqfh+NUUE97YcNlAoypQkpYSiEAJ33nknPvjgAyxcuBCdO3eucp/CwkLMnz8fEyZMMMvmzZuHwsJCAEDnzp2Rn5+P+fPnm8KwtLQUK1aswLhx4+riMqpE5WHE3kAkxNzwHMS/cUu2NoyFLQu1DZEYXbgtM59NPErMFy0XmvVR1uyK8ElB+IQfPhaEDz74RQCykBFQfaYF0s8kBCQJfkkyHXBUoTnXMAGUloah8DA4gJ/2A98pAlLAh8LVEgYWrEaHnkuRNiAP4pSeEK1bV3NkqyDgB+/XF6xfX+QA6L9+A/qtLsKRHwXW726NLUf82HFYwb7SEHwKR0BVcaQ8gooKBWmyJiJ9nAFyNMtMhAvzvsEBRDiHwgNQBIeA0MQj16SfgGaZVJkCRai6dVKzSgLaDUyRdAulUMH1aXBDPGptVIdA9J76doPHES5SHGtiIqIxmXPGCEThcP7x+C7EE5ZCcMvyNZd1ncxpbZUc+xoC0OhLVHCYMPv3FIAZvN2JJga8xs25fMDL1JqYoEilOJtufWGM6cGqHY/0NIdF0FxgjajVEPAWiLEk6l0shADnCsrLynC0rAwVFWUoLy9HZWWl98VVQySSKExdNK9nj0ryejZJKaE4fvx4vPXWW5gzZw6ys7PNNYS5ublIT08HAIwcORLHHXccpk2bBgC4++67MWTIEDzzzDMYPnw43nnnHaxatQqvvfYaAO0HasKECXj00UfRtWtXMzxOQUEBRowY0SDXqfKyuPXVsQTF3shlWzmzCUnJIih1lxmLmLRNWevWR+NZZtoENZNk+BDUBaUffhGEnwfgV3URCU1Epkk+2/S1T2IIq5rDjS+sYvU2Fcu3ykhbnoXQ62WI+Naie14Agwo4enc9jOyB2RCX/V/S45EIvHdPsN49kQPgNP0BLiBt3wZsKEJ40xGU7A5gx6Hm2Frix6ZfVOw/GgEiKnKYQDisoLRMgaJwZPi0awqrMiJcmA5FXGjpClXLDUYV0fWREcHBLV6Cim6hVKEiDMW0ShrT2wCgMD0WJFTbtLfVQgnEF4VeU71VTT3Hw90aGNsXAfuayph6i2iMmWp3WFWN19xFWMZbGxqv3MtC6W6pjVolY2YBajrVDcCWm9yNalgi60q4+P1+Pa9xEIFgAMFA0FzC4/f7LGLYTRRayl3zIFv3i/2Mipi7unMKWSurrKjA0bKjOHr0CMqOHkVlyCMncRKCkIRgIybe1DO9rSYpJRRfeeUVAMDZZ59tK3/jjTcwevRoAMD27du1dSo6p512Gt566y08+OCDuP/++9G1a1fMnj3b5gBz7733oqysDGPHjsXhw4dxxhlnYO7cuUnHUKwtBE/M2y2pHyDhclNgkuX3zppX1HgdKyajdbFiUpJ8NiFpWCUl5reJSEnSxKOPBTUBKYLwKwH4hd8UkAEmwy9JyJA1p5pKXTwyNYKfdirYtEMgsDIN/lkK2OT56JPnw6DjKtC5VwWCp+aDnz4IqGHgc1ckBt6pE9CpE3wXAi2hPfoZY7dvH9jW7eA/7UN4ZwSlB4LYW5qDHYf9+PEQw4EyBUcrIggKgQzGoURUlIU4KkIqZMaQ5dd+fyoVLXh4hJunhcy0OoUDYc6hcKELx9jPgSoEuBBQLRZLFSo4BBSoEBaBwR2fo3gCMlmc4tAQs8Y5OOMxbTmiAo5LsWUATGcvYVnjaQhmwC5AnWtAjXrbGk8Xa6vhbOTW3vZchaA0y63X6hSTHuNlHMP89ro45nj/DvBqWSKrk9Pc5/PB7/cjEAjA7/ebD1MYBvx2Uecq8NzqnU4mbgLRwP5+mP23xB+0ikIlEsHRsqMoKzuKo0eOoNw6fewkAWFIgvAYJI5FUZBF0SSl4yimEqWlpcjNzUVtxFGsrbVfieG2ttH6gy3FtK1aSMZOaWuC0WcTkZqA9EE2haQ2ne1jafCLIAJIR7pIt619DOre2EFJ0tcJalZImWle15k+BuGX4UsLoFe+D4MKKtHt3BCkQd3AT+xW24OXPFxA2rkTKNoJvv0gIvsUhEskHC0N4kBpED8eCmJ/ucDBCo7DFSrKQipUlSMNAlkyIFSOyogmLCsUYU5tMwZ9al8TlVq6w6jzjSoAlesOOEIP7mF4ccYIxWpclstN0vjpsNYZr6OiMNrGFHGMx5ZZLKYc3F5usZxq9apNUBpi0rqP13S91cro5ake3Y61SCYrHt3aasRaVa37RytdrLSugiVxAcQYg8/ng8/ngyzLkH0yZFk2tw1RaH0AVfzqxQi7eOLQUu8qCJ1/AMbesW3xCIWAylWUl5ejrOwoyo4eRVl5OSKRCMwvT3THeFdhPwcJw1ogteMozhjYE6e2dV/qtHBnMSZs2EZxFJFiFsUmQ71qc8uPrP6DaTu7rS8qGJi9yMUqaRWS8ayRkmUdpDl9rVsmJaZbHKUMTVTCD78uIINqGgJKEEEEEGQ+ZEg++CWGgCRBFYBPVeEPVeD7MuDbzUDWVzKOsm1olrsb/fJkDO5Uilb9OOT+ncBP6lMro5gwEgPv0B7ooIVS8uuPTGg5sHtZmrLDh8AOlwD7DwH7D0PdX45IsYLwUQkV5QGUV/pRWuHD0YiMIyEJZRGGsghQGhaojAAVCkdlRKAiwhGKqIgIgQjniKjaikjD6hhNz2W/+bmJv0SxWnWsYjBaFhWF3LGPKfJYVJhZrYU2yyHj4MZaQXBwwQH4LZZGv9k+KuxEjJXRZjF01NumrqsIXRRbZh1Dd0uktSw2ELvzPbAIPmOdpR7CStuIiitruSQBkiRBkiTIsmy+1rYlWx1jrPZ+g1yFnotIBByijQOQXK4fABRLG8u+iH5+KyvLUVZWronCsjJUVFR49zHBayVh2PSIt0aRLIpRSCg2EM4fpbpcT2Qe2/UH0wgx4iIiY/ZxCMkERKTb2kjrVLYxZa1Na8uQpSBk5oNPSoMPQQRYBtJEJvxKAOkiDcGQHxmSH2myhKCsrX2McEBCBEciEXx9EFi2gSF3vg/+tGKUy7+gQ3M/zutUgoK+Efh6twHv3ycl8mOLZs21gOWdOgHQLDYB/RG3dxUVYBWV2nMoBIRCQCgMhCL6swJEFIgIBzjXgspGVO1ZBaBymJE/OKLvMYf5ARBCGMaaaOprEd2GALgKCJVBCEn7wRWAEAyCM3DOIASDqmrPnEtQOcC5BA69jjMoQgLnTLeQSlAFAxeaIxQXDCoYFM70cu0TaNYJQBEMil4XtbJqrxWufbq50DzWFe2SdMur0c4IgyT0tpqg1taJGtP7XH+oprjlTNXlqWJuG45HmgyN5hI315gKVbNuQgDCnvVHQOhtlej4m210kaS/CfFSv7kJV+t32Pw9ca59rK5wdFrszPNK7r9xjt8T26Fcfus4V1BRUYmK8nKU64+KigoPgVmN7pM4bNIIrv2OedURGiQUGwC3H6e6/MGKd+z4IhLQFutHbwTRVpLjTy4vEelcGxmdzmaqZBOQkrnm0aetc9Snr/1SOiTmR0BKh59lICgykKZkIBgJIghNOAYkCWmy8WDgQiAQViAzBbuPlGPGNgZ5sR/NMo+gVFqF9HQZ3VpJ6NWmHPknlCM4OL9Og4TXKunpEOnpAJon/alhjud6JRIBFE3EMkUBlAgQDoOFI0BE0es0ZyGjHSIRoFKBUFQgpEJEOITCIcIciAjwiACvBHiEgSsMSoSBqxIURYKqyogoEiJcQkSVoejCNMIlKJwhLCS9DAjrZQqgC1ggzHXhyTUbl6JqYlPRp/kVQ2jqU/6KgCYbhbbiUtVFogoOlWnhkhSmgEOBqsfkFBBannFdiioiDAiuiU5dUHIzB7nRlscISVNEMk392xw5jIDiQmjfUQg4oyw4SeRzFV1X6dLaxQkn7jGFQDisBa42xGB5ebktjWpdEB0PoknCAXCPX0MSiiYkFJs4bj+SrlNGMagxlgT3KW3VPKabiHSbxpaYD1broywFos4yUhCyFNRC9UhB+BBEGrIQ5OkIqkGkiTRkMD8yZB/SZG2dY5rMkCYLBGQgckSFxCrAjwh8fwD4dgOAxQG0mlWCCulbhGQ/2uVI6NxcxfFtytC8Ywj+Dhlgx+fX/zT2sYbfrz3S7Z+VKm/T4QhQWQkWCYOFw5DCmsBEWLegVoSAyrBmRQ2pQESFCKkQoUqIsAAPCfAKQA0zqBEGVZGhKAyK4jOFZEjxQeEMESEjojJEhISwLhgjXNKFo2a9VDgQ0Z8Vw7LJNe92RReQqu6IpFksAUVoAjLMNZloWCdVM96mJh4jrBKcKeAQEEITk6YlUqjgQjbXZXKmAEIC0yfOtaw8EgS4HhBfBmOqh/XNzdqYHM72tl8Djz88hRCorIwGq7Y+Gmq5fCqlpqzvvtQWjVVsc87AVfcx514CsglCQpGIoaovfdVWSMDbEgm7iLR4awtdKHJTQGrWR1W3NMKcrvaZU9SS5INsiEaWBj9LRxAZSOOZCKpBBEUAAeZHhuRDUNKmq4MyQ0BiCMiap7FfElAPK5CYAqACuw4Cu34GPlMY/MF0ZGdIgO8XlIqlaJUlo222hHY5Kgpyy9CsdTkC+RLk9s0g+nWvuxiQTRnBtViFnGvzyMJ4NufJ4+7OGLS1fXpSD8Y0yxpjAhLTQhlJkoAkACYEZEkTepoXOgNnAgKaV74E3UMd2kdXCO3Z9FqXGAQXEBIg8ejMrCSYdgz9IfSpWacwYEwGEwLRdXoeQ2Jd/+jyOia7iG2NX81FonufNLGoqjwmr3FIz2RSrfzGzjWVXp7eSXe4aQjT+sB6TY1JNHIV4LRGsUpIKBJJY/wQVPmD5/whti1kN45lmZq2pHnTptIsoVOEFhScc645OAgFKvNB4j74JAWqCEFhIShSJRQWQgjlCLIM+FgQQZGGSjUNQdWPgCIjKMkIyBICkuZVHZAZwjIgS4CPMUQsnsWRkIojEQVctygdPChQLgPfKQy/RIDsjAzkZ8vokBPBSXnL0Lx1CGl5EnxtgpAKmgHt2kAUtIXIza3BiDchIhEgHAGLhLSp53AErLIyakFUFCBsf4iKiGZBNKakwwJcEeBhaI+IhEhIhqowqFxCRJGgcBmKKkHhEsKqhDDXp6bB9KlpICyi6yMNi6IqDMuhPh2ta1ZFABE11ppohDfigkMRQg+vrrhaE1WmfY657qWtwmlN1KagrdPPQii2qWfXFHQe3u8GydzWhRCIRCLmQ4koCFlyG4dCIe8QNG4kKvpqSxzW9TGJBhPg1UJo66VdqzzKmyIkFIlqk8hfjjYxWYUzjVkrVGi2GyOtlmYOUkUI0Slpv+lpHbGubWQ++KSgaWmULd7VtriOEXtcxwzJD5/EzMwyfomBgcEnwQzP45cEwhw4qmhr0/wCiFREsKdSwZ79wPyNAchSAJk+hoAkEOZlOKgUgcnbkJPhQ6tMCcdlMeRnqmiVGUHz7DAycyIINgd8uT5IOQFI+dlAs0wgJxsiKxPIyIDIyqqbmJGJoqrm+kFmvFYiYKGI9id5RNGsfREl2lbh+qI+Y1sAiibmNC8Trq03jKhaCq2IgFA0ZxsR0T4CXAG4IkGNaA4yqipBVTXHGEVlULkMLhgiahCKvsaQg0Hhkj7dK4Hrzi5hDvO14Qyj6M4whtBTuMURRthfa84x0TBEphMMog4xih483en8YgpCxqEirE8nKzanF1UoEFwx1yYKY12i4IiGAHIXh/aUdPYcxbEi0SLidEsdVzlUVYWiKFAUxXwdiUQQDodtwtAzr7FnDEUv6jNEWNOlqj/m68L6xyAajVUx3tSzqOHU8xNPPIFJkybh7rvvxvPPPw8AqKysxG9/+1u88847CIVCGDZsGKZPn468vDxzv+3bt2PcuHH48ssvkZWVhVGjRmHatGnw+RpOrpFQJOqU6k9jR6euhaWegevTfQqintZ+WzxHp3BkTIZPX+doxHX0sWBsYHAehE/1QYYPspDhgwwZMvxMS2YYkGQtu4welkSClqpQlrRnLWA4EFYBn6T1XBKAUFWUKyr2lgG7i4FyVRMdMpOR7vMhXWYIypoYOaAcRQU/Ckj7kBGUkR2UkRWQkOkHMv0MaX4gOwCk+QSCskDQBwR8Aj6ZQ2bQplL1e7Cx/FNisI2l0KdBVV1YcaGJdNX0LtYFly6ouP4sdI9jEVNn2LK0Z1VokcM5JKhCghB+zZNYr+f6MYQuxoywPSoMz+moM7ZqbgvzPMJyTu24RugfzeLFjeMJbh7bkFS6zQ1CGP7HRnpFTYoJxs3XmkezEevR4r3MtN6qQvdsNuu0cvPZ9GbWy3RroOFOaZ7JCLsjLB7Opke08VqF4NHYkYbVTuixPVRVK+NcAeea8ONmGTfLVB4rCJOCuf/BkvB0arVjyDZGYWm1rKZm/2vHZma3IAuLFTvVEarm/OZGTdYorly5En/5y1/Qt29fW/k999yDjz/+GLNmzUJubi7uuOMOXH755Vi2bBkA7Xs8fPhw5Ofn46uvvsKePXswcuRI+P1+PP7449XuT01JWigWFRVhyZIl2LZtG8rLy9G6dWucfPLJKCwsbLBMJ0TjxUtIuobSsFkdNeuJ5iSj6Osbo2sbrcIRkBDRs8pYs8tYM8vIUlCL8cj8eqxH/RlaoHCf8MMngpCEBJ/QjwXJJih9kCAzCTIYfEzS1qaB6WJSs0pKlp9mWdKEUFRYApwLyFwTO+GwgiPlDGEJKLWI0QgXqFSBCkUgzAVUh5HIiuTyW8ct4ssYSk2YaVOlRl1UoBlCyrqPaeMy18UZ29prbgusbZYZbZ0ZXIy1ddblBvo2t2WZ8c7gYn40LGFXnMe1pge0BuTW6hx9caQS9Eoj6JXpxX5e71iM9tcudS5l7kGo4035utcxD+GnEV/cxE8cEN8CXhtJB2qSbtKKVzrLVKC2rrE2SHScuMpTekytGH9selUKIVBaWmorNtJSenH06FFcf/31eP311/Hoo4+a5SUlJfjb3/6Gt956C+eeey4ALetcjx498PXXX+PUU0/F559/jg0bNuCLL75AXl4e+vXrhz/+8Y+477778PDDDyMQCNT0kqtFwkJx5syZeOGFF7Bq1Srk5eWhoKAA6enpOHjwILZs2YK0tDRcf/31uO+++9CxY8e67DPRBLAKSFerIzNu2oARqoeB62seFQihi0Qh67tqolDlUW9qxeJZbXhVR+M8RsWmrFssZfh1q6ReDwmSJGvlQquX4dOEpJDgE7L2rAtJTTRKMKJLykyCn0mQmbZW0lizb/zESgB8KtPzZAN+Q0xCm/6M6OvjtDKhOUk4fvRUiyC0DqEhDLlDFFrFoWoKPOEqDBWnyGPcJgq194cnLAptZXHEIRAViM7y2Jy/GlFvYOPzoEKC4TxlNgIAyJA00cUks68QmrgR0D2LhXYsAVUrFxySgLmPUcYgQwg1uq9ebu23vdw4tmXtrtEHZhWDvphrtycgqd6NOp6A8xIt3vvURGgSbtTHmFX3s2Psy1lIWz/SCNCWs7iPqcolHDx4UM/IFmXKlCl4+OGHPY85fvx4DB8+HEOHDrUJxdWrVyMSiWDo0KFmWffu3dGhQwcsX74cp556KpYvX44+ffrYpqKHDRuGcePG4fvvv8fJJ59czSutGQkJxZNPPhmBQACjR4/Gf/7zH7Rv395WHwqFsHz5crzzzjsYMGAApk+fjquuuqpOOkw0PZISjU6Pav2HVRWRKjLK2IOBA84UhbKZWcaeAztWUDLIejvdaqmLSpn5IUGGJPT28MMnfJC5D5KqWScN9DNp4hIyZCbBp/nqmmNiWPiM6UprOjRnqBFn9hRjytWZWo9baszg0uCaSAF3tfTFE3LxRJxbzmmzvUPwilpyQUw0z7Up/gwxaSZGcQg/S9YYbYxUSNBvtoawYz7z3Ea585rcs7h4bNeytcZNALoJEmeZ+34eU9NVCBypClFZV9Rm3vNkaKjrrQ7JjJG2vCIMzuNkykkx4lkUW7RogaKiIltxPGviO++8gzVr1mDlypUxdcXFxQgEAmjWrJmtPC8vD8XFxWYbq0g06o26hiIhofjEE09g2LBhnvXBYBBnn302zj77bDz22GP4+eefa6t/BGEjoWwPcdY2ahv2YODOQOBae2emmaiQdKt3CkptD6v4lG1tjDoZfm0fSKal0np8iUUtltp0d/RGbFriXKaXhSPgsdNC58yVrI2XqtfbU+J5TdFa68zzxhF0XgInkek1NwHivNm6ihuPKVD3G3W0jFusj9YaAdUUfjYBxxxT1lbrnocIdApnL0tOTSw8XgKtqrGqShQ63w+38fQ8dxXT0vWJlwW6tqmra3Yb99oUv4mOj3X5RVg5UkVwp9SBc805zrVOaGvRE81RvWPHDtx9992YN2/eMbcMLyGhGE8kOmnZsiVatmxZ7Q4RRDK4Bgy3FenixjYv5+JVbVTZbm7OrDIAPG6mbsLS2HbLh223XEatlTHHtYpHh0jVrr/qm0KsRSpW8LmJv1jLVvybhtGXeMLPKTCs1yq5jrf+WiBmHIRl/ABoU78u+7sfP/bGbe231xXYxjsmLr1duLtbTN3HsDpiMP40cXxhHfM+wON9sH7eHaMixTlG9FgNLwp5PYnBqqjtsZCEh8BxyYqTKImMVbzfHFVEUCbvRd3m06k9OPeeevZycvFi9erV2LdvH0455RSzTFVVLF68GC+99BI+++wzhMNhHD582GZV3Lt3L/Lz8wEA+fn5+Oabb2zH3bt3r1nXUFTb63nfvn3Yt29fTMwsp5fPscZJJ/WD3JChSoiEcPVXiwnbYb0hsoTaMlu5VTQyezvz2Eyvl8w2Zp1exiz72MVndF/bs4tQrEo8eolCq9B2c6DwOp7W3sMRySM8SoxVyk0YW94Hz+s2t43x1IWisa+jvZsAh15j30rMy5G7/HFi1DhxCsCqrD3OsU7UmSExi55VDDoCfZuWbOv4O4VgtM4pephLzLmGdMRIZWeKVHJQMUjoD07m9bnX4LrH/4EQQ0VlCwCaUPruu9W10se6wIiy4FqX5LHOO+88rFu3zlZ20003oXv37rjvvvvQvn17+P1+zJ8/H1dccQUAYNOmTdi+fTsKCwsBAIWFhXjsscewb98+tGnTBgAwb9485OTkoGfPnkn2qPZIWiiuXr0ao0aNwg8//GBbGyWEAGPMO84WQdQjAh5i0YbmPKC1j82SEZ+ai0Qrydw8qhITVa45SzbqQ0xfXQSaRZxZhZlkChBZW2HJtGdtraast/ZBAgMTkl4nQRK6V7neQoI2DSTr55d1r3LtNSDp4YrANO9wo06CpvllBl2UQ/dG1zC8wo19jW3rEDGXstrA6x13O7fVe90S7chsa+23swyWbfOcDJBg/H5H97V+chmzrg2OPU+0j/ZbarxPcrIxrpONstIQ8rC618uSliLuCI9PpnPsnGPjDChtbc6Fe3lV+4U5w+f7WmMd+4/nH5KpBOdaEH6vumTIzs5G7969bWWZmZlo2bKlWT5mzBhMnDgRLVq0QE5ODu68804UFhbi1FNPBQCcf/756NmzJ2688UY89dRTKC4uxoMPPojx48fHXRtZ1yQtFG+++WZ069YNf/vb35CXl+dpPSCIhiZGLBr51GxExWJDYnWMiKmL8YKNFZs2SxCsa+uYS1svS5vd4mSIO61N9LUEGUwwyPABViHnFHq6x7cp7ADI+rofmTFIkhaTUtLDBkkSNLcfBshSNGWeT4IuBjV57pOiKfNkBviM+JF6vZmWj2mxJWXodUzoolG7tcoQYGZb7cYt6XXGa2P4JP240W1j7atdbGmvozdIyaOcmc+6375Rx4S5n5Fu0NjX9lp/S5l+TYyJ6L5StE/MovwYE9q2vo/tY2FRiUbKQ7OvsR8PdwFUH1+julSCcfrveZ9LZhxq415pFV8xys9oEtvGptmMMmN/4WjjKLe1dR7LIRrD5TJ+LivAujLL0p4URhWSt1D0mNqvCc899xwkScIVV1xhC7htIMsyPvroI4wbNw6FhYXIzMzEqFGjMHXq1FrvSzIkLRS3bt2K//znPzjhhBPqoj8EUaskJhaNtharYpx21eqHbnGPFnDzDuwmEp1TsOaaRibZLHpWIei05sEQcJZpRWM6Uda/+kwwy35RAekUfkwwMMEsR5RsAlATUrqnNtOsfAzQ40dqFr6qRKCPWQShRQTKktAkKdPyL/skYRN/fn1bloR+HA6ZcTOHswyuPUtahmVJ4pB1kSVJXBOWsi64JG4KL8YAJkcFFpNEjLCy5pG2CS3zNXOY6qzmTKMtM+uYYQI1Pis+Fj2OJEX316Kog0VVrv4sWUyHhqqV7KZA4ziwnNvsuOXZilSNm2aiqfyqa3lK5Pvp1W9nsdt6T6dJtqrsM27nqg0TKndRaTYxaJTp7bhlH2t7bn3tiC5gxtmyqETr2+c8h7XMQtqREFptcrmuFEULwO9ObfxNsnDhQtt2WloaXn75Zbz88sue+3Ts2BGffPJJLZy99khaKJ533nn47rvvSCgSjYaqxaKHVTGuWFRhTD/HiEDHma0WQacodNvXbW2iIRKNaVqrMHSKQucUr00MGlO6Qo6KQERFoHF+y9HNKVtNjxhZaTRBGNUtsVO/VmHIEBWB1ocPWuBxQxwaGshqJfTpAtEQilaR6NPFn2FlkxnXrHTMYqWDVUsJiy6zWuns1jlJm+OGJAvTAsdk7WEVhoYoZEw3Z5oDYhGBTgGoX6Qm/iyiMBEBaFwMEBWAhvgzLsR6TOtnyypk4s6XSnZBYOAschMwXtsuosK1na0fcUSWxOz7JppC0BTs1rFwGauYyPWSR3kNRbVTTFs3PRfPGaJO2MWhcTzrwjtufc11ZeQiCo1jxIhOjzlor/dTaSzJ+zQ4j2NRrGEKv2OJpIXiX//6V4waNQrr169H79694ff7bfWXXHJJrXWOIOoMDxEYs1bRbGcEQ7YKu6hY1NDb2BxMomIR0NYqmmLRYlX0wk0kMuaLKxBl+Gzi0LoGUOuXFpvRaiE0LJNM/2cTiEZfLCLRCtfHSehttDHTR0PS0j2bOglR4WhoJp9ulbNpI+jik8FuobQa2nSxaEw3G/VMF5QMwrJfVGxK+rSydcpZq9diHPr0KWYZUeuiaY1kApIUFZTGw2aVZBZxabSRYBOeMMZDL4+xTsJSZghRRNuaBwDsos9Dz3jhNiVpe22N0A7Ypzed05pW3egyfRlzvgSIuQ6rlos3Je606MLR1jl2znFzs7Raz+nauSRwDISIGW9hb8Ytz7ao+cZujveD298D23Es+tIst0Z+MOuYuX9M9z3MbZGwjAOVjUcqarnb3d9H7uKg1VRJWiguX74cy5Ytw6effhpTR84sRKri6txiE4txHFtcxCJg3LyNUDOyvm31FtbQXSpixCKgaQYBCUbQ8LrwiOTGtTFVE3lCggoVEpNMr2fDa9VqVYSATRQaZeZrIEY0Rp12oNdb6kxLqUWYsmid9d5t7G/k1DZnUfV2hrOK2d5q9dSnw51OKxL0WVdERatxLtlZHjX8Rfdn0K2X+j6AacmUTBFqHMP6OipIjT6Zlkzox7SUOR1GbIYux13bajV1w3qzM5wezNlIs42+rbfVdEb0TEKwGN0owMx829Zym0HMcb6YvrmUxcwIe1y7U+859Z0x1va2wt7W4gbiHHtru3j9SBar44l1XOK9F4D2fhjb8d6PaBtjv2h9TJnts2E/v7M8USKCYWv5Ubi/u6mHECzGOcdaR2gkLRTvvPNO3HDDDXjooYdiIogTRKMjUbFoYmnjmDaOzZAStTAyi/zxnqoGjNRxbucWUMEhw0gsJ+ld1/KH6NZNoUJlhsCStWlvYy4UWltNMEpRsSY0leQ8Z1XZI5LzEtf3ESzm7hMTONtyXKul01kfFZtRceq0fhrtDGHpFKNWIeoUoU6hp021R6W84YRjtYZa+2GKVWYXoca+pkiBxwympSyZPx9iZog9ZoFNkecoE8IuHKzC0moo9BKc1kI3ueA1awnEjoPtullsO6eYdv6Bwix1Ve7j2Ha+dnuPksVrJjdGKBrlLmMcU2Y5hud74ng/4r0Hbu9ZoisEVC7wi7w3edNxA8EFg+ohCOONUVMjaaH4yy+/4J577iGRSDQ6XK2KQFyxCBiWNGcbwG5dNCzpskMw2sViNK6eMdfFY6yKWkclCKGC6esbDbEnmNDKNZ9dQF9NqIUQN6yB0Slpbds7Hp5eEBdbrEWLJyN33Kpcg3bHuFja4xDGZCdJZp4rupMdY37QUu7mFW6zhloCoHt5g7t5ghvHNtaCatv248CxbbPSWjwrkxXezrESzH2Mo7EbuW3bzMijW9OMOHgAzODh5raZtafq9zzav6retwSWXjgksntQdslSH/s+O98va5m2j6VcWPd371ui6fe8YmbaYpQ6LMLRdJiW74gt1aP9/dD2cV8/UK33pgZZgMAkcKHiaGhPo1mnKATznGJujFPPa9aswaxZs3DvvfeiefPmePDBB235pqtL0kLx8ssvx5dffokuXbrU+OQEUd8kKxa1fURULALuotK0EroJRqdlETbBKKCCgQNCE4KMcct6QgnQcwtr2wyGF7QKi9Cwhr8RsTdL7/GII9REVFAY/TWfISyvre2Ey77Wm5598Zr9hmW9yTlvNV4ZTWr3llR1uK/445l8uDA30RH/Zu19zc6UgM52juO6HMfdFSFOf+rTcpTw2HoLuSrFeE3WHSZDFeOWmEtINURdPbxfjUUkAto3xtOiWI0Zk4Zm7NixuOyyy3DZZZdhzpw5WLBgQa0cN2mh2K1bN0yaNAlLly5Fnz59YpxZ7rrrrlrpGEHUFdG1g/GwW/68Q+fYrYt2RxfAEIyMGcLJOLchGFVAXz+krXfTBaOZxzlqHTOnWK0i0kK8lG5OYtP68ZjXbqLPWu4Ufc7jOG9k1RV12nW7/1Qles3meCd0c41tU5VwjY6Jy/5OxwXPW2ltr+tyH5t4WYjs7ktGtfOb4kzD6PVNqs56Ww8rXLXFsfcxXUWT9Y+aWpQ8CVmLY94HKx7vpefYV509rCYxkON9lzmvRFXpPlMFLiSoXqkQG6FFMS0tDQ888ADOP/98jBkzptb+kK6W13NWVhYWLVqERYsW2eoYYyQUiUZDjHWxioDc8eMsujm6AIZndFRE2gWjgTYtrUIIBmtgZlh+cGOyuwD2qTthb5csnj8qeriUaMo9o9zjZmTL0xw7lWdN3WdYSKPbkrk/QzRio3Nq2Drt6IwVqR0rNiVdMrl2nTlvnVOytjKPaVmtfZzpeNsJ4ojEOFl83KbJnUsO4gVNt0+TR187veRt5wKLcX6ytov2LbHPoVtKRGNsrVOmxjSts05AuE67W6fc3cbeOu1rfb9jpvSTFD1uecSB5Ke7nUsXrGWJLF9wTeuYwHvCBKsyXZ+Bc6xUqNilrkNp+daE9m9ouPBei9gY1yimp6cDAAYOHIhf/epXGDduXK0cN2mhWFRUVCsnjsfLL7+Mp59+GsXFxTjppJPw5z//GYMGDfJsP2vWLDz00EP4+eef0bVrVzz55JO48MILzXohBKZMmYLXX38dhw8fxumnn45XXnkFXbt2rfNrIRoZyQTajhe82yWMTuzaRUt7/dkQjO72zui6RqOtKTBMseV+07G9jpNP2tnGTZQmE/Bbhg/WuI6y8JntJPjMeI5GuB5ZP6YhViSmrwpkeuBuREPlMCN8DpjuzRzrgGJN22cZQe11HTmLxGubyB/4rIp+xcTTdjjLxHOkMbfh8OjWj2f16rZ7nwvbPkwvc/bT66vDTFEd28At2UiM16+IvhaC2SS51YmDg5kNOezvjc1hB/Zym2OJ9e8098uJi/MK7R7TGjGONY5yK840k2a5sYba7fhV9EnbL/Grc/MAdlvYoHCGz/edgnXY2iimoDVnFg+LYrUs4g3Lo48+CkVR4PP5MGbMGLRs2bJWjpu0UPRiz549ePPNN3HvvffW6DjvvvsuJk6ciFdffRWDBw/G888/j2HDhmHTpk1mkmwrX331Fa677jpMmzYNF110Ed566y2MGDECa9asMfMrPvXUU3jxxRfxj3/8A507d8ZDDz2EYcOGYcOGDUhLS6tRf4nGjeuaxTgBub1D57gcOyaMjmwrj9bZz+GEOUSgzerGouGxjbZeVroYgecStBuIOm1IzOdqgTKsTz7IYELSRB6iQbtlSLrok+AzxB0kTfRJMINzy5YUfrZsLQxmLGlnyj4JiAnIbcRRlPWYhc4YikboGiN1nzUcjTOGtZm6D9abuNDbOG59jrc93m3FM4yNKQIsnwmLALCGbTFfG310SfdnZJthQJy4jjDjNzrT+sXEddT7GBPb0XHB1bFiC2FRdGYZbGXCFivQ0lbAHgtQMAhuETSWVRNa/Glma6u9jvbZ2sYsc64gsLyu6mptqdWZi6BzpGw0PbDd2lpduK37Os4Da7mjg0msSvHEzejt/MNHS+F3HNaVybbZkFSF49jyeh48eLBte8SIEbVyXCaSnMS++eabXcu3bduGb775BkeOHKlRhwYPHoyBAwfipZdeAgBwztG+fXvceeed+MMf/hDT/pprrkFZWRk++ugjs+zUU09Fv3798Oqrr0IIgYKCAvz2t7/F7373OwBASUkJ8vLyMGPGDFx77bUJ9au0tBS5ubk46aT+kOXEp7CIxkHMT0XMjc85/cc82la1lkh2KYvuZ4TR8RKHVmFoFYWGINQsd1EhKMMHZ2BuQwBGrXs+23SjIfxkYdj3DEuenq9Zt/D5mATGjHiCuuBj9qwsPonZMrI40/X5JF0cmmIwNl2fPTOLgA/RdH0y4/DFS9enB8jWHlq6PiZBD5ottLR8XplYHKKJyYgRSrYUfbbAjdZ2mpKL3vBZ9FlXvuZnIV6mFqNe1jvnNDWZ6lqymBP1h5EtREJ0X2Y9l6XDkqW9/umLfkzdTF4eKsQrhZ9rHB0eWy8cdc6MIwCqTFvndjzbMb36lcB1AN7XDtjHKubnxKYkPfZxqj1ru3jn9a5KmqqWzTrH5mg5/vWXLLz48wxwoUBVVXz33WqUlJQgJyenFjtWczp06ICJOUPQK7uda/3akp/xV2U1fvzxx3ruWfVYvHhxtfbr1KkTOnToELdN0hbFQ4cO2bZVVcXWrVvxww8/2JJbV4dwOIzVq1dj0qRJZpkkSRg6dCiWL1/uus/y5csxceJEW9mwYcMwe/ZsANpUeXFxMYYOHWrW5+bmYvDgwVi+fLmnUAyFQgiFQuZ2aWlpdS+LaARUvV7RwxM6pq23ZdAg1voSFYnm2jpdEMYThxLzwZnWTxOGPr21D9ZMLVp+Zwk+IUMScpXTvbIkObKiaC8MMegz6ljUGugUhDLip+gznp0p+jTh6C4MtXzNmoCUmIAs8Zg8zpLEbZY1SdYEpCRDE4eGtU12PgwhxgCf/rbKklnObBfDwCTLtix7izZTvEnuYk2yiDtJV6hWwWYKP62dME2gVsFoKTOPafksmkJVt47HMzNZBUsVphXmamqyCr94dW7mRGcbx/ljokJH2zK3vnqmwqsl56FEzHUJWFyFmwhPtAuJmr8SsQvVZFzSAkiTI9Xfv56JH0ex+u9HQzBq1Kik92GMYcKECVX6liQtFD/44APX8sceewyzZ8/Gb37zm2QPaXLgwAGoqhoTozEvLw8bN2503ae4uNi1fXFxsVlvlHm1cWPatGl45JFHkr4G4hiiRmIRtrbe2C2JQPVEojWtn7EuUGI+bSJYyKbV0Lom0LAYWgWiJuQkyMwQjFYhGF0LKOvWQk1A6ldiEYmGscwwuHn95HIATDBwfSxV6OPIBSTGtFlCSUuzJUOAS5J2Ds7BDcEoGFSui0YhQeVCF7WSJho5h6xqFj1Z5oBhZbSIRslnCEWhWQNlAaYyCJnp85fa1LrgAHwMjGviT/gsubuZ/ueG8213LoZ0ikRZdheINitjVDAK67aXuBBCF2E8KjbNmUBjjWsVOK1FMfmcDWueh5CLJ+C8RKHb8bzO7ySe5S8ZksnVDNimfGtCzPtRnet1HTuXstoaKyeVYSgea/5SER4njqLbetpUpi79R2ptjeJ1111XK4EdU4VJkybZLJWlpaVo3759A/aIqGs81ysCniIwEU/oZDBFYky5fZrZlr3Fsh7RFJ6GZVJfN6j1ONo3q6elkaU56iyg+fEyMKgMkIXQY4oJcK4JQQFtCRJjgAJD90QdR0zrImBqH6OOwT5drdWxGEcL6/7R9YWapdFoowlVfYrZup+5rVkafZKxTzSvs9muCqukpE9Va1ZJBUzWrJSayHSzSCJqkZSZVsYcFknrtLNhfTQvyiICzY+C5b2zChlDKCZiUTLFgYv3CBd24Wf1IgEgrCk+jNdRzxN7W+eUL1yMVLURtsNppYsj0G1WfDdxnYgHUW0QI6od9bbpccv4uYypbV/HdHvc8fb4rCT6lngaRyUGflTF/soOtRpaqC6JZ1H0Km+K1JpQ/O6773DyySfX6BitWrWCLMvYu3evrXzv3r3Iz8933Sc/Pz9ue+N57969aNu2ra1Nv379PPsSDAYRDAarcxlEI8b4eXMVjDEiEAAs+ZLBPISlPcai3SPaYaUUAmDWwNzaNheKblkUerYWDon5HJla9P0YhyoUSGBQLWsSFcPpBJJubdQtiUI2VzAawlJ7ZuY/SV+XyCy9ZYiurXPL3WzddlvxFt03tjLmeCx6TCPVntHcSK1nFamAU2giup4Spm4zn61T4oYwlc3jR9dLyrpXsHXNpJEjxycJU3ia6yOZLjL1bcOBhlnagKnRWWO9TnttdU7wurmzmNda/tpoG25x4OCCQcCRx9nh7CEgmd7DhrWFA9HlhPoxjCKjjVseY2evk3EQiLfEL/r+xzoamZ8va52LDrQ5GJmfO+tx7J1N1l/HNUyjpSNmQGfbe2UZb0udc4wFPMpdxt2WNtDpsFPlVbjjNhSMCYS5jC2lIdR+TNC6QQWgeC1NbRxa18Z7772HESNGIBAIAAB27tyJgoICSPofl+Xl5XjppZeSdjpOWig61wMCmuiaM2cOhg8fbqt/9tlnkzp2IBBA//79MX/+fNNbh3OO+fPn44477nDdp7CwEPPnz8eECRPMsnnz5qGwsBAA0LlzZ+Tn52P+/PmmMCwtLcWKFStqLcYQcezh6uEYIwIBp2C0WRfNtkagaglGqj8hrE4tXI/vJgFC6D/mqm491INx61PR2sys5nTCEDEtjdpxok4thsXRK4SNLe6e6TAjAxZBZo27p7V0BFp2+4vbuFExd6Vgi09ovYElecuKjdkXtaBq9YYV1XKdiDrsGP7bNnFsjpZdGHuH59H9v/U1m9Gpe3cLKxAVokDUiAhELa3R6/HGZkgyni3DbTP+Gfs4DFFGPmfDUsXNbUsbCJuhyox3aG1jC1Dt3kdr/+LhJsQ8XGpi/8hw/IFhPZ79j4zY8xl72P1I7J2pjm3JeclOv1FnXmetjV5nHkPYyqP1ti+PfR+P98Taxnm+6uD2fnEhsAnra8diXA8IeE8xN44rsHPddddhz549ZoSYnj174ttvv8Xxxx8PADhy5AgmTZpU90Jx7dq1ruUDBw7Evn37sG/fPgCxX7REmThxIkaNGoUBAwZg0KBBeP7551FWVoabbroJADBy5Egcd9xxmDZtGgDg7rvvxpAhQ/DMM89g+PDheOedd7Bq1Sq89tprZj8mTJiARx99FF27djXD4xQUFNSa6zhxbBMzJe0pGCWb4LFZGAGAcX1TgjZhG20ZPVfUmUUL5WFdw2hv7+oZDcC6uN4tSHdNMrpYsQaTdsvsorUx7nAuAY9jMrxoLWLOUwPrROw0vlVIxB8/6zIA6xpRY19brEm38EPWY1mEq3287f3zClIdG5Q6Nqi3V35tY19hzSPs8t65pWm0btuODff3pTZTKsaKNclzOyYOqMv7HPPaejyX70C84NReqTGdKTHtdY6xiZMdCXCMu+09EJ7t3I7jVRbdv3rvmds9XgiBiHKk0YisY8mZBYh9LxssM8uXX35ZKyf24pprrsH+/fsxefJkFBcXo1+/fpg7d67pjLJ9+3bTjAoAp512Gt566y08+OCDuP/++9G1a1fMnj3bjKEIAPfeey/KysowduxYHD58GGeccQbmzp1LMRSJmpHA+kUr0ZkuIz2ffbrIWidcFoTH/DCb+8XetGqSnss8vOuPjOpR7+69GmsprMJBorGR9DgnI8oTFMhxxrCRj27KUBsWRSL1UDmgeHzN1BgLQdMl6TiKTRWKo0jE/c1ISDAkLhISSbWV2HnrygMxUStfVYJXdilzWlG9rEOx1tJoZYLX7RIKJNayYxG+cayf8fJcO49jJ5HAxB5p4eKEWrK0srT3sKICtWKJTvhza8Ft2UFVVjJXqzXgaimNaeNyfC9ZVxNrthPXz6ml1rYVkynJ8h46j5NM2yr74d6H2PFyR4AjFDkMVS0DgJSPo3hz2lB0y3J3Uv3+SBFmsa8bTRxFAJAkCcXFxebUc3Z2Nr777jtz6nnv3r0oKCiAqiYXDD0hi+IFF1yAhx9+GKeeemrcdkeOHMH06dORlZWF8ePHJ9URgjj2SdwLOiYDjBUPcRCtNurjB/cGqiEoHGLCLX+ztm3x0DbqnesmXTLDGCsFrWn/3LLCGOsNAUDS13tacxED0fWKzpy3iYgZN/HilnfYrT33EBeJrsOMXX8pxdQ5r81YV2m8tq6z1Mr0yDx6G9l8fy3HtKyl1NZWxl8H6PwYJmNcjYm0Y1tDGbsWUmsjrMU2p2vrWj5zqt1sH5V7wnGs6LS8uxWce5QnQ+z7yVzrrM5aAGzvnVZub5esI5nbGs9on1w77o3HUISFwPf+ddh3ZHWjsKjGc2ZprBbFzz77DLm5uQCiPh7r168HABw+fLhax0xIKF511VW44oorkJubi4svvhgDBgxAQUEB0tLScOjQIWzYsAFLly7FJ598guHDh+Ppp5+uVmcI4tjGXSTGCBcvUecQgNFtq1izZ3WxxmM02nhlddEaWMQck+MKOSNOo1XEmXEdhdFSNmM3OoN6a44fUoyTiBHD0XAQsafiY6agMYN8S4awsQoiy42S2euNMiC67ebQUBWJtE3kBuzM2RsrDPRnS2rB6DWJaDsGMGjbjFnbCXPMzJzNus+tNY2hdcyMVIbR8RH6NVvX3CZwrfCwPVuFYRyPXqs3b7QcsOaC5nB4ccPw+tb2t+eJtjqKRL3DOaLHtPchprvmeRLF6bFu+3Y7P4eO99O4CgC299XY15ruMboft3yGRMznx3lO67ms59PaVi33rGv5QqqEyPZe2MfWNIplJcfaGkUgNvC2M7Z1dZYlJSQUx4wZgxtuuAGzZs3Cu+++i9deew0lJSXmSXv27Ilhw4Zh5cqV6NGjR9KdIIhjm1iLUAxuU69xhKF1WpY5hGCyqf6swboNMSjB5wjYrdUZ+Z0ZGHzcB6e3cHXS/FnzPDuDdstwbJtiUrt6I7OLVSQ64ywaN183IQXEiinALsq0EbdvW9u43Xitb6lTZNmOgWhuaVjOby8TZlsjfI419zNzHEdLT6iLQuvDOKdktDHOIaJ9taYvtHTWM7+wvn9c4uRQdsvNrJVH6029IZg9jI+R3xnWttY22r7csr8ztI/R1hkiyOyf3tYtlI1BVYIivriOvrcAzPdN20/fxSHY3fJ8m+1Y9H11vufRNtHX2gvLe+vyfjvrnFjHK1zpQ8u9ecARCYktqWhYuPXz4ayr367UCryOAqkn7MwSDAZxww034IYbbgCg5UuuqKhAy5Yt4ff766RzBNE4ibN2KylrobulUNKDaRuCUNLzOTuztmgCTntt5HyWtOR8kJkfbllbrHmefXpyPzOlH9Nf6xY8WWLRDC7MiC0Ytfj5mCV9H6JCz8x4x2LjFhoxCzUxKMxtI26hIQRlaGn9mLmPFh1Qi1mImNiFRluZaZlZtIx60RurMwe0me/ZIpyYJPT8z/FzQZtvs6S/j8ZbaZpCjXrtLs+MOiA6QMZnwBqcG/o+YFruZ2uQbv3zYAseCQDWYN7GNmOWfRzP1pzQ5ofTxVboNKfGCzrnlc4vkdzMzpzM3FJmnZuOEzBcCxZutOWugcJjAlo72yQSyNoJF+5mZ6c3t+Soc84ZOz8PRjvHZ0I7FnO83xbV7wzgLlnKAdhErDV1pFkWXxADAEor0P5nBhyoumkqwIV3YO3GGEexrqh2wO3c3FxzHpwgmgLVXbISKxLjWQxjxaF1ChmAOSUcTxxGrYQ+yLp1UBOA+rbwmcJQEhL0V1FhyBj8kmyKP8MSaBWFfsMSaBWAiIpDBsPi5y4IGfQg1bCKQD0Li/EMwGdmUdEsKkZmFTCY+Z5NkcgM4WgXhJLEtXMYOZ4lrt1rdfEn+URUCMp24cdk/QYsMz3/s6aAmTHvLUHLuCJL5oUy26BYckD7ZF3cSdH8z4yZx4HhKGctNwSCGe3Bsm2dXzc/cNFy4Sw3cN70q5t5xO1uaovw7JHGzxE2ybafbcGiM02gcC8XjnKLwGO2dsZ+9uMzL7HqdmxLN2LaWvGy7nilCPSKMO4Ubfbo7PY2EuzC0K2d8zhG6khrP6oSil7OYpmlyPSFwWwT2KmL5U8I17rGROfOnas1rVwnuZ4Joilj/HjEfB1jMrckR1Weim7t4iEsjjMCqjatxmQIJsAFB8AhMW0qTovZKPRF/0L/kRfgwpDG1mfAtF4I3UAmAK5rF860cBPGlDHX71EKM6yE2r6G+JS4iE5NIzpdZk3Pp02T21P0GdOwhpjUMqaIGEFpTNUZGVJkaAJR1i2HhtVRloWZso8BkGRNeFrzQtvFJDfFpC11n8x0galdOIuaQ3UxaViFHGLSaQ20pfWTYm/YTkugWWf/7CT8iXQTNfE8TgB3MeV2vHiiynZeZ12c/arKDx3nnMK2LdzbJZtaz6sf1ZkJdPv6V5WO0Fbm3Ef/vprCkNktjlql/Zi2PjjEqKM/1iY4UomjSrNqO/7UN1U6szQiZsyYUa39OnXqVGUbEooEUQ2svyHmT6YpFt3jKZrLflg0UwsAMKbq9yEZgGrWAxK0TC3aWbymnp1ZWlR9LaLiWIvonIKW4AOTZK1M6NPUuruJLDQnFInr29a1iIzpQjDqiBJ1MGFRrQOmO5pYVlQa2odBt5Qys1y74ugNKGamjJkvzeMYo2Ycw+m4EhWcWhvDsikZ6/0A08IZmyM6Kkyd6fqMqWxNrHJNcDqmva1WTqsoNaa3nQ/z2sxpceO6vNeSxSNmVtQl3Z9bW5tTh2Pm19km9jje53Dtk07C03w1cDBwX0to6a+LQnPrlvO63PqezLVXF+dnwLmu0J5pxvLZcayL1NpaEgA41kg6zxUvtWQo7EPREe0P0cbAseTMMmTIkDo7NglFgqghNjub7W6g2n5hzRozmDbXrHfmAYxg20ZDxxpGXUyqxraljTPmoJuDi3Ecp5NLtL1kayvpPw/OUDZGe0CCJDT5CAEYIW20c+qWQ9WeWs/eV8AZusZObJ2zvS3UiJnFhtnaGmn6jDJrGBJnKBlmOSvTy4zc0pI5LoYYjRXFxn7GskNDrAIwj29dXgbYb8hWYeysS4YY8eJYeufaxlpn3dXm3OE4rIv6SUT0JauZ6uqWbR3fZNekxWvuJgoTkU41tcRVFfrJ+Y3y+oPDWey+1DK2UOEC/1N+ahQez4DhFOVRV79dSWlIKCbJd999i7r72SKOFaqM1ef6C+0ummLD57jOTVkOba2XXcsNoejcPxpaxylAq6pzP4925HhisGZ4pR+MTekmx5RHYz864jCa1+csl819oiJUNo8l2er1fYX9fNZ82bH5qKPUdMycsRyd29ZA0tzFO9UZaJozd5njtq8byQauTjQotBNnPvL6JJGxSGYcuKgdr2GJJTYmiYx5VePLoWJPxXc4WrFVL0ltuaWKY2fquS5JWiiOGjUKY8aMwVlnnVUX/SGIY4K4AbM9cQ/IHXMsYz7QJoYsaxL1ek3wGDcb2VYuEI0rorUzpsMdJ7degrnen5vHMESVENy80Qj9BmcIMNXl5hgvv3QiWSDM/T3aSo4UiIxF51DtYlEGhALGJHDoN0th9F2BBL2cSWD6uaJlWhtT8AnJJhwB+026KhEZcw3VFD1OwRJP9FXVFtAFS8wSwPjvUbycx8nglVM5/j5194dJPBIRgcmMi1fg9qTR37tE//ioaszjja+2yrlxTDsDmhj0EoTk9RwlaaFYUlKCoUOHomPHjrjpppswatQoHHfccXXRN4Jo1JhrE90EY0yeaAPnj6x9naPteE6R5DiUXfRZRZ0Kzf1DF46IFSxCF1Tu0+CSQ2QiZn8n8YShG4mmDEv0HG6WRK081hIqOa/V+uywTFZlldSm5KPnkBztnf1xtqsO8ayHACC4Xay4CRI3QRPvPak1UVMF1RmXZD97yZLMZzXZcRK1ZFW0whK0MCYy1s6xFYJDUSur1a+GwnPqmYSiSdJCcfbs2di/fz/efPNN/OMf/8CUKVMwdOhQjBkzBpdeeinFVCQIB64iz6x0/BpVKRzdF91rFarjHE7BYN1PASyiUDu1ZDccidgbilUkaueqHWHoRXUEY9Xnd1obvabt40+9x9bHTm9rZ3M/vue0eQ2nTxMReW7j6pl6sIr3oC7EjJNExY19nwayLFbjM1sfY5goyY61Mye0yhuPUIw79Vy/XUlpqrVGsXXr1pg4cSImTpyINWvW4I033sCNN96IrKws3HDDDbj99tvRtWvX2u4rQTR6nIvVqxSObnisF4uew4lh3XL+9NmFZey0s8s0uK1NglNZNZxmrhq7l3kyuPfNQyBbt+OITbe+uJ0nUSHjJsaTmd7zGmPvsU9gCrVW3rfEqT3RV5fiseZjUt/j6kVNxpvzilrsSd0SL44iEaVGzix79uzBvHnzMG/ePMiyjAsvvBDr1q1Dz5498dRTT+Gee+6prX4SxDGJl5dj3PWNSc+J6ALRw8XR82hVnif2b263fifT3Zp5fSZvAzCtqVWsJxWeN87qWFSrb7Ex+1MtQRF/fJI7Zn0Jmrq1CtaGAK1bcVefwrG2ZgEajy1OjRMex6u8KZL0JyMSieA///kPLrroInTs2BGzZs3ChAkTsHv3bvzjH//AF198gffeew9Tp06ti/4SBEEQBEHUGFVoCQLcHmpqGHdTgqQtim3btgXnHNdddx2++eYb9OvXL6bNOeecg2bNmtVC9wiiaZKoZS0pz+rqWiLNk1V9rjqdxqnD1eWiqmszrSTOv609rCeJWiMSsGhV+7KTtHTVXjaNRM6bqI2ibqxTnsstakBjyUbiTS2NdSOyKAI09ZwISQvF5557DldddRXS0tI82zRr1gxFRUU16hhBEFVTmzenKkVnirkB1uq1J3woj5ugQ2gmfLg6HdMamkTqtG+1KCaqkTozpT7JKfa9ShjPpSyN53pUIaB6jL/aiK6jrklaKN5444110Q+CIBqYxvQDX9tU59rtsS2rO3YJCKZ4QqieREYqfDY8/5BprEKrClJ6zIFjYtw5xVFMCMrMQhAEQRBEk4MLb0F4DOjgWqNhAk0RBEE0ckQ1/lXvRML7kcr9rmWq0+/G/C8VaKz9ThTDouj2SNaiOG3aNAwcOBDZ2dlo06YNRowYgU2bNtnaVFZWYvz48WjZsiWysrJwxRVXYO/evbY227dvx/Dhw5GRkYE2bdrg97//PRRFqeml1ggSigRBEPVEQ4uPxnYjJ4i6hAvNu9n1keRXZdGiRRg/fjy+/vprzJs3D5FIBOeffz7KysrMNvfccw/++9//YtasWVi0aBF2796Nyy+/3KxXVRXDhw9HOBzGV199hX/84x+YMWMGJk+eXFuXXC2YEGRgTYTS0lLk5uZCi4FG8ZUIgiAIIj4CgIqSkhLk5OQ0dGdsdOjQAQND56NtsINr/c7Krfg+dxlWr15tKw8GgwgGg1Uef//+/WjTpg0WLVqEs846CyUlJWjdujXeeustXHnllQCAjRs3okePHli+fDlOPfVUfPrpp7jooouwe/du5OXlAQBeffVV3Hfffdi/fz8CgUANr7p6kEWRIAiCIIgmR1VTzwcPHkRubq7tMW3atISOXVJSAgBo0aIFAGD16tWIRCIYOnSo2aZ79+7o0KEDli9fDgBYvnw5+vTpY4pEABg2bBhKS0vx/fff19ZlJw05sxAEQRAE0eQQQsBrUlVAoEWLFjGh/hKxJnLOMWHCBJx++uno3bs3AKC4uBiBQCAmxnReXh6Ki4vNNlaRaNQbdQ0FCUWCIAiCIJocHPHD4zDGqjVlPn78eKxfvx5Lly6tWQdThJSZeo5EIrjvvvvQp08fZGZmoqCgACNHjsTu3bur3Pfll19Gp06dkJaWhsGDB+Obb76x1SfiaUQQBEEQRNNB9UjfV5MUfnfccQc++ugjfPnll2jXrp1Znp+fj3A4jMOHD9va7927F/n5+WYbpzYxto02DUHKCMXy8nKsWbMGDz30ENasWYP3338fmzZtwiWXXBJ3v3fffRcTJ07ElClTsGbNGpx00kkYNmwY9u3bZ7apytOIIAiCIIimhUC8SARJHksI3HHHHfjggw+wYMECdO7c2Vbfv39/+P1+zJ8/3yzbtGkTtm/fjsLCQgBAYWEh1q1bZ9Mv8+bNQ05ODnr27Fndy6wxKe31vHLlSgwaNAjbtm1Dhw7unkmDBw/GwIED8dJLLwHQ1ga0b98ed955J/7whz8k5GmUCOT1TBAEQRDJkNpezz2P/h9a+9u71heHi7Ct9XL8+OOPCR3v9ttvx1tvvYU5c+bgxBNPNMtzc3ORnp4OABg3bhw++eQTzJgxAzk5ObjzzjsBAF999RUALTxOv379UFBQgKeeegrFxcW48cYbccstt+Dxxx+vyeXWiJSxKLpRUlICxljM4k+DcDiM1atX27yIJEnC0KFDTS+iRDyN3AiFQigtLbU9CIIgCII4NjByPXs9kuGVV15BSUkJzj77bLRt29Z8vPvuu2ab5557DhdddBGuuOIKnHXWWcjPz8f7779v1suyjI8++giyLKOwsBA33HADRo4cialTp9baNVeHlHVmqaysxH333YfrrrvO8y+RAwcOQFVVVy+hjRs3AkjM08iNadOm4ZFHHqnZRRAEQRAEkZIIaA4tXnVJHSsBYZmWloaXX34ZL7/8smebjh074pNPPkny7HVLg1kUZ86ciaysLPOxZMkSsy4SieDqq6+GEAKvvPJKg/Rv0qRJKCkpMR87duxokH4QBEEQBFH7qFx4PnjqrsqrdxrMonjJJZdg8ODB5vZxxx0HICoSt23bhgULFsRd19CqVSvIsuzqJWT1IjI8jaxWRWsbNxKNvk4QBEEQROODx5liJqEYpcEsitnZ2TjhhBPMR3p6uikSN2/ejC+++AItW7aMe4xAIID+/fvbvIg455g/f77pRZSIpxFBEARBEE0LbepZeDwIg5RZoxiJRHDllVdizZo1+Oijj6CqqrmGsEWLFmaOw/POOw+XXXYZ7rjjDgDAxIkTMWrUKAwYMACDBg3C888/j7KyMtx0000ANI+jMWPGYOLEiWjRooXpaVRYWJiwxzNBEARBEMcWKsiimAgpIxR37dqFDz/8EADQr18/W92XX36Js88+GwCwZcsWHDhwwKy75pprsH//fkyePBnFxcXo168f5s6da3Nwee655yBJEq644gqEQiEMGzYM06dPr/NrIgiCIAgiNRHCey0iCcUoKR1HMZWgOIoEQRAEkQypHUex7aEhaO5r51r/S+RnlBSsTjiO4rFMylgUCYIgCIIg6gvNmcV9NSJPOkDOsQsJRYIgCIIgmhxCd1xxg4RiFBKKBEEQBEE0OVRwqFBd6zj5PZuQUCQIgiAIosmhgkPxEIQqWRRNSCgSBEEQBNHk0Kae3YUiRVKMQkKRIAiCIIgmh8pUqIymnquChCJBEARBEE2OeBZFEopRSCgSBEEQBNHk0CyKimsdZypFTNYhoUgQBEEQRJNDhQIF7kJRhUoCSYfGgSAIgiCIJojwdFoR5PVsQkKRIAiCIIgmhwoFKiKuddzD0tgUIaFIEARBEESTQ4UChbkLRS9v6KYICUWCIAiCIJocIu7UM3k9G5BQJAiCIAiiycGhQBUeU8+Cpp4NSCgSBEEQBNHk4HHXKNLUswEJRYIgCIIgmhwCnKaeE4CEIkEQBEEQTQ4uVJp6TgASigRBEARBNDkEVAiPKWayKEYhoUgQBEEQRJNDsyh6pPCjNYomJBQJgiAIgmhycKGAe049k1A0IKFIEARBEESTQ0BACI8pZq/yJggJRYIgCIIgmhwirkVRASDXb4dSFBKKBEEQBEE0OVShgsVdo0hCESChSBAEQRBEU0Rwz6lnIUQ9dyZ1IaFIEARBEESTgwsFzGPqWQgFQLB+O5SikFAkCIIgCKLJwYUKxj2mnsnr2URq6A54cdttt4Exhueff77Kti+//DI6deqEtLQ0DB48GN98842tvrKyEuPHj0fLli2RlZWFK664Anv37q2jnhMEQRAEkfoIM41f7IOmng1SUih+8MEH+Prrr1FQUFBl23fffRcTJ07ElClTsGbNGpx00kkYNmwY9u3bZ7a555578N///hezZs3CokWLsHv3blx++eV1eQkEQRAEQaQwnKvgXHF9CE4WRYOUE4q7du3CnXfeiZkzZ8Lv91fZ/tlnn8Wtt96Km266CT179sSrr76KjIwM/P3vfwcAlJSU4G9/+xueffZZnHvuuejfvz/eeOMNfPXVV/j66689jxsKhVBaWmp7EARBEARxrMCreBBAiglFzjluvPFG/P73v0evXr2qbB8Oh7F69WoMHTrULJMkCUOHDsXy5csBAKtXr0YkErG16d69Ozp06GC2cWPatGnIzc01H+3bt6/BlREEQRAEkUoIqHp2FrcHWRQNUkooPvnkk/D5fLjrrrsSan/gwAGoqoq8vDxbeV5eHoqLiwEAxcXFCAQCaNasmWcbNyZNmoSSkhLzsWPHjuQuhiAIgiCIlEUIBUJEXB+gXM8mDSYUZ86ciaysLPOxaNEivPDCC5gxYwYYYw3VLZNgMIicnBzbgyAIgiCIYwMhtBR+Xo/qUJVzbWOkwYTiJZdcgm+//dZ8fPXVV9i3bx86dOgAn88Hn8+Hbdu24be//S06derkeoxWrVpBluUYD+a9e/ciPz8fAJCfn49wOIzDhw97tiEIgiAIookhlDiP5C2KiTjXNkYaTChmZ2fjhBNOMB9jx47F//73P5t4LCgowO9//3t89tlnrscIBALo378/5s+fb5ZxzjF//nwUFhYCAPr37w+/329rs2nTJmzfvt1sQxAEQRBE00ILg6N6PJK3KFblXNtYSZmA2y1btkTLli1tZX6/H/n5+TjxxBPNsvPOOw+XXXYZ7rjjDgDAxIkTMWrUKAwYMACDBg3C888/j7KyMtx0000AgNzcXIwZMwYTJ05EixYtkJOTgzvvvBOFhYU49dRT6+8CCYIgCIJIIQTgmapPQAgRE/EkGAwiGIzN2GI4106aNMksczrXNlZSRigmypYtW3DgwAFz+5prrsH+/fsxefJkFBcXo1+/fpg7d67NweW5556DJEm44oorEAqFMGzYMEyfPr0huk8QBEEQRAOjOahKcQJrC/z000/Izc21lU6ZMgUPP/xwTOt4zrUbN26snU43EExQ5uuEKC0t1T8wMoCGd7YhCIIgiNRGAFBRUlKScg6hH374IS699FK439O1fn/00Uc488wzbTVeFsXdu3fjuOOOw1dffWVb1nbvvfdi0aJFWLFiRa1fQ33R6CyKBEEQBEEQNeHiiy/WX3FoYtEKB8AwfPjwhI+XiHNtYyWl4igSBEEQBEHUNYwx3con9IeBtv3dd98mdbxEnGsbK2RRJAiCIAiiyTFo0CBo085Wq6JmTezbt2/Sx6vKubaxQkKRIAiCIIgmyZYtP6FLly6IWhVFtTOxJeJc2xghZ5YEIWcWgiAIgkiG1HVmscKYsQpPAGDVzspyrEIWxQSJ6mnS1QRBEARRNdr9MtXtUb/8csCM41xScrhhO5OCkFBMkCNHjuiv6C8NgiAIgkiUI0eOxMQjTCVatGgBQMLixQtT2vLZUNDUc4JwzrF7925kZ2eDMZp6dlJaWor27dtjx44d9EVLEhq7mkHjV31o7GoGjV98hBA4cuQICgoKIEkUZKWxQhbFBJEkCe3atWvobqQ8OTk59INZTWjsagaNX/WhsasZNH7epLIlkUgMkvgEQRAEQRCEKyQUCYIgCIIgCFdIKBK1QjAYxJQpU1xzYBLxobGrGTR+1YfGrmbQ+BFNAXJmIQiCIAiCIFwhiyJBEARBEAThCglFgiAIgiAIwhUSigRBEARBEIQrJBQJgiAIgiAIV0goEgRBEARBEK6QUCQAAO+//z7OP/98tGzZEowxfPvttzFtKisrMX78eLRs2RJZWVm44oorsHfv3rjHFUJg8uTJaNu2LdLT0zF06FBs3rzZ1ubgwYO4/vrrkZOTg2bNmmHMmDE4evRobV5evTN69GgwxmyPCy64oMr9Xn75ZXTq1AlpaWkYPHgwvvnmG1t9dd6DxkhV4+Bk1qxZ6N69O9LS0tCnTx988skntvpEPoeNnYcffjjmM9e9e/e4+zTlcVu8eDEuvvhiFBQUgDGG2bNn2+qre+30HSaOOQRBCCH++c9/ikceeUS8/vrrAoBYu3ZtTJvbbrtNtG/fXsyfP1+sWrVKnHrqqeK0006Le9wnnnhC5ObmitmzZ4vvvvtOXHLJJaJz586ioqLCbHPBBReIk046SXz99ddiyZIl4oQTThDXXXddbV9ivTJq1ChxwQUXiD179piPgwcPxt3nnXfeEYFAQPz9738X33//vbj11ltFs2bNxN69e8021XkPGhuJjIOVZcuWCVmWxVNPPSU2bNggHnzwQeH3+8W6devMNol8Dhs7U6ZMEb169bJ95vbv3+/ZvqmP2yeffCIeeOAB8f777wsA4oMPPrDVV+fa6TtMHIuQUCRsFBUVuQrFw4cPC7/fL2bNmmWW/fDDDwKAWL58ueuxOOciPz9fPP3007bjBINB8fbbbwshhNiwYYMAIFauXGm2+fTTTwVjTOzatasWr6x+GTVqlLj00kuT2mfQoEFi/Pjx5raqqqKgoEBMmzZNCFG996AxUtU4OLn66qvF8OHDbWWDBw8Wv/nNb4QQiX0OjwWmTJkiTjrppITb07hFcQrF6l47fYeJYxGaeiYSYvXq1YhEIhg6dKhZ1r17d3To0AHLly933aeoqAjFxcW2fXJzczF48GBzn+XLl6NZs2YYMGCA2Wbo0KGQJAkrVqyoo6upHxYuXIg2bdrgxBNPxLhx4/DLL794tg2Hw1i9erVtrCRJwtChQ82xqs570NhIZBycLF++3NYeAIYNG2a2T+RzeKywefNmFBQU4Pjjj8f111+P7du3e7alcfOmOtdO32HiWIWEIpEQxcXFCAQCaNasma08Ly8PxcXFnvsYbbz2KS4uRps2bWz1Pp8PLVq08DxuY+CCCy7AP//5T8yfPx9PPvkkFi1ahF/96ldQVdW1/YEDB6CqapVjlex70NhIZBycFBcXVzluRlmix2yMDB48GDNmzMDcuXPxyiuvoKioCGeeeSaOHDni2p7GzZvqXDt9h4ljFRKKTZCZM2ciKyvLfCxZsqShu9SocRvPa6+9Fpdccgn69OmDESNG4KOPPsLKlSuxcOHChu4ucYzyq1/9CldddRX69u2LYcOG4ZNPPsHhw4fx3nvvNXTXCIJoxJBQbIJccskl+Pbbb82HddrXi/z8fITDYRw+fNhWvnfvXuTn53vuY7Tx2ic/Px/79u2z1SuKgoMHD3oeN9VIZDyPP/54tGrVCj/99JPrMVq1agVZlqscq2Tfg8ZGIuPgJD8/v8pxM8oSPeaxQLNmzdCtWzfPzxyNmzfVuXb6DhPHKiQUmyDZ2dk44YQTzEd6enqV+/Tv3x9+vx/z5883yzZt2oTt27ejsLDQdZ/OnTsjPz/ftk9paSlWrFhh7lNYWIjDhw9j9erVZpsFCxaAc47BgwdX9xLrlUTGc+fOnfjll1/Qtm1b12MEAgH079/fNlacc8yfP98cq+q8B42NRMbBSWFhoa09AMybN89sn8jn8Fjk6NGj2LJli+dnjsbNm+pcO32HiWOWhvamIVKDX375Raxdu1Z8/PHHAoB45513xNq1a8WePXvMNrfddpvo0KGDWLBggVi1apUoLCwUhYWFtuOceOKJ4v333ze3n3jiCdGsWTMxZ84c8b///U9ceumlruFxTj75ZLFixQqxdOlS0bVr10YdHufIkSPid7/7nVi+fLkoKioSX3zxhTjllFNE165dRWVlpdnu3HPPFX/+85/N7XfeeUcEg0ExY8YMsWHDBjF27FjRrFkzUVxcbLZJ5D1o7FQ1DjfeeKP4wx/+YLZftmyZ8Pl84k9/+pP44YcfxJQpU1zDvFT1OWzs/Pa3vxULFy4URUVFYtmyZWLo0KGiVatWYt++fUIIGjcnR44cEWvXrhVr164VAMSzzz4r1q5dK7Zt2yaESOza6TtMNAVIKBJCCCHeeOMNASDmMWXKFLNNRUWFuP3220Xz5s1FRkaGuOyyy2xCUggtzMQbb7xhbnPOxUMPPSTy8vJEMBgU5513nti0aZNtn19++UVcd911IisrS+Tk5IibbrpJHDlypC4vt04pLy8X559/vmjdurXw+/2iY8eO4tZbb7XdLIQQomPHjrbxFUKIP//5z6JDhw4iEAiIQYMGia+//tpWn8h7cCwQbxyGDBkiRo0aZWv/3nvviW7duolAICB69eolPv74Y1t9Ip/Dxs4111wj2rZtKwKBgDjuuOPENddcI3766SeznsbNzpdffun6m2eMUSLXTt9hoinAhBCiQUyZBEEQBEEQREpDaxQJgiAIgiAIV0goEgRBEARBEK6QUCQIgiAIgiBcIaFIEARBEARBuEJCkSAIgiAIgnCFhCJBEARBEAThCglFgiAIgiAIwhUSigRBpDx/+9vfcP7559f5eebOnYt+/fqBc17n5yIIgmgMkFAkCCKlqaysxEMPPYQpU6bU+bkuuOAC+P1+zJw5s87PRRAE0RggoUgQRErz73//Gzk5OTj99NPr5XyjR4/Giy++WC/nIgiCSHVIKBIEUS/s378f+fn5ePzxx82yr776CoFAAPPnz/fc75133sHFF19sKzv77LMxYcIEW9mIESMwevRoc7tTp0549NFHMXLkSGRlZaFjx4748MMPsX//flx66aXIyspC3759sWrVKttxLr74YqxatQpbtmyp/sUSBEEcI5BQJAiiXmjdujX+/ve/4+GHH8aqVatw5MgR3Hjjjbjjjjtw3nnnee63dOlSDBgwoFrnfO6553D66adj7dq1GD58OG688UaMHDkSN9xwA9asWYMuXbpg5MiRsKa879ChA/Ly8rBkyZJqnZMgCOJYgoQiQRD1xoUXXohbb70V119/PW677TZkZmZi2rRpnu0PHz6MkpISFBQUVPt8v/nNb9C1a1dMnjwZpaWlGDhwIK666ip069YN9913H3744Qfs3bvXtl9BQQG2bdtWrXMSBEEcS5BQJAiiXvnTn/4ERVEwa9YszJw5E8Fg0LNtRUUFACAtLa1a5+rbt6/5Oi8vDwDQp0+fmLJ9+/bZ9ktPT0d5eXm1zkkQBHEsUa9C8aeffsJnn31m/vhbp3sIgmgabNmyBbt37wbnHD///HPcti1btgRjDIcOHaryuKqqxpT5/X7zNWPMs8wZDufgwYNo3bp1leckCII41qkXofjLL79g6NCh6NatGy688ELs2bMHADBmzBj89re/rY8uEASRAoTDYdxwww245ppr8Mc//hG33HJLjDXPSiAQQM+ePbFhw4aYOud08datW2ulj5WVldiyZQtOPvnkWjkeQRBEY6ZehOI999wDn8+H7du3IyMjwyy/5pprMHfu3ProAkEQKcADDzyAkpISvPjii7jvvvvQrVs33HzzzXH3GTZsGJYuXRpTPmfOHLz//vvYsmULHnvsMWzYsAHbtm3Drl27atTHr7/+GsFgEIWFhTU6DkEQxLFAvQjFzz//HE8++STatWtnK+/atSstGCeIJsLChQvx/PPP480330ROTg4kScKbb76JJUuW4JVXXvHcb8yYMfjkk09QUlJiKx8+fDieeuop9OzZE4sXL8b06dPxzTff4M0336xRP99++21cf/31tj9qCYIgmiq++jhJWVmZ64/uwYMH4y5kJwji2OHss89GJBKxlXXq1ClGADrp2bMnhg8fjunTp2PSpElm+XHHHYdZs2bZ2o4bN8587bb+0bkuulOnTrayAwcO4N///ndMbEWCIIimSr1YFM8880z885//NLcZY+Cc46mnnsI555xTH10gCKIR8/TTTyMrK6vOz/Pzzz9j+vTp6Ny5c52fiyAIojHARD24Hq9fvx7nnXceTjnlFCxYsACXXHIJvv/+exw8eBDLli1Dly5d6roLBEEcQ5x99tno168fnn/++YbuCkEQxDFNvQhFACgpKcFLL72E7777DkePHsUpp5yC8ePHo23btvVxeoIgCIIgCCJJ6k0oEgRBEARBEI2LOnNm+d///pdwW2v2BIIgCIIgCCI1qDOLoiRJYIxBCGFmPwCiXofWMreMCgRBEARBEETDUmdez0VFRdi6dSuKiorwn//8B507d8b06dPx7bff4ttvv8X06dPRpUsX/Oc//6mrLhAEQRAEQRA1oF7WKA4aNAgPP/wwLrzwQlv5J598goceegirV6+u6y4QBEEQBEEQSVIvcRTXrVvnGpesc+fOrjlcCYIgCIIgiIanXoRijx49MG3aNITDYbMsHA5j2rRp6NGjR310gSAIgiAIgkiSepl6/uabb3DxxRdDCGF6OP/vf/8DYwz//e9/MWjQoLruAkEQBEEQBJEk9WJRHDRoELZu3YpHH30Uffv2Rd++ffHYY49h69at1RKJixcvxsUXX4yCggIwxjB79uwq91m4cCFOOeUUBINBnHDCCZgxY0byF0IQBEEQBNGEqLM4ik4yMzMxduzYWjlWWVkZTjrpJNx88824/PLLq2xfVFSE4cOH47bbbsPMmTMxf/583HLLLWjbti2GDRtWK30iCIIgCII41qizqecPP/wQv/rVr+D3+/Hhhx/GbXvJJZdU+zyMMXzwwQcYMWKEZ5v77rsPH3/8MdavX2+WXXvttTh8+DDmzp1b7XMTBEEQBEEcy9SZRXHEiBEoLi5GmzZt4oo4xlidB9xevnw5hg4daisbNmwYJkyY4LlPKBRCKBQytznnOHjwIFq2bGkLFk4QxypCCBw5cgQFBQWQpHpZpXJMwznH7t27kZ2dTb8hRJOAfkOODepMKHLOXV83BMXFxcjLy7OV5eXlobS0FBUVFUhPT4/ZZ9q0aXjkkUfqq4sEkbLs2LED7dq1a+huNHp2796N9u3bN3Q3CKLeod+Qxk29rVFsbEyaNAkTJ040t0tKStChQwfs2LEDOTk5DdgzgqgfSktL0b59e2RnZzd0V44JjHGk3xCiqUC/IccG9SIUp06dGrd+8uTJdXr+/Px87N2711a2d+9e5OTkuFoTASAYDCIYDMaU5+Tk0I880aSgadLawRhH+g0hmhr0G9K4qReh+MEHH9i2I5EIioqK4PP50KVLlzoXioWFhfjkk09sZfPmzUNhYWGdnpcgCIIgCKIxUy9Cce3atTFlpaWlGD16NC677LKkj3f06FH89NNP5nZRURG+/fZbtGjRAh06dMCkSZOwa9cu/POf/wQA3HbbbXjppZdw77334uabb8aCBQvw3nvv4eOPP67+RREmnHPsK/0FxSUHsK/kFxwqK0FJ+RGUhcpRGQ4hrCrgXAVjEvyyD0F/ABmBdORmZKF5Zi5a57RAfrPWyG/WGn6ZVkMQdcvixYvx9NNPY/Xq1dizZ0+VURMALQ7rxIkT8f3336N9+/Z48MEHMXr06HrpL0EQREPSYHflnJwcPPLII7j44otx4403JrXvqlWrcM4555jbxlrCUaNGYcaMGdizZw+2b99u1nfu3Bkff/wx7rnnHrzwwgto164d/vrXv1IMxSSpjITww64t+GHXFmzavQWbi7ehaN8O7DxYjIiq1Pj4EpNwXIs8dMnrgK75ndDjuC7o3b4buhd0QcDnr4UrIAiKw0oQBJEM9ZLCz4ulS5fi4osvxqFDhxqqCwlTWlqK3NxclJSUNJn1RbsO7sXXm9dixZbvsLboe2zYtQUqdw9lJEsy2uS0QOucFmiR1Qy5GdnICmYgPZAGv88PWZLAOYeiqqiMhFAWKkdJxVEcOlqCvSUHsLfkgKfYDPj86NuhOwZ26YvTu/XHqV1PQlZaZl1eOoGm8ZmvzzisTWE8CcIKfeaPDerFovjiiy/atoUQ2LNnD95880386le/qo8uEAlQVlmOJRtXYcGG5Vjyw0oU7d8Z06ZFVjP0btcV3Qu6oGvbTji+TXt0bH0c8nNbwVeDaWNj+vrn/buwdd92bNq9FRt2/YT/bd+EkvIjWLV1HVZtXYdX5s2ET5IxsEtfnNf7NPyq3xB0yetQk8smiLhUJw4rEBuLtbS0FADwr3c+Qnq6/Q+dmKX+rmv/a9shwMNGIOJtOraqMjOIeHtXtWvVrRNxkogdW+bYZNE2TPuf/qS9YkYV03bV9zf3058ZY/oj2q9omb4vGCSJmc/W9sZDkiTLa/2ZMTBJ0p+1bWc7yayXotsSg8Sk6Gvbs/21LEmQZMtrSYIsR9uRQ0rTpV6E4nPPPWfbliQJrVu3xqhRozBp0qT66ALhwf7Sg/j020X49LtFWLZpNcJKxKyTJRl92p+IwV1PwoDOfXBy5544rnlenfxgSJJkrlM8tWs/s1wIgaJ9O7By6zqs+OlbLNu0BtsO7MLyzWuxfPNaPPrBy+jWtjMuHTAUIwb8H4lGotapThxWwDsWaygUgSSF66SvBFFXGMJRliTIsqy9lq2vZfO1z6e9DoUqGrrbRC1QL0KxqKioPk5DJEhJ+RF8tGYBPlg5D1/9uAZcRAOid2rdDuf2OhVn9xyMwq6nIDu9Yad4GWM4Pq8Djs/rgGsKhwMAft6/E/PXL8cX65Zh6aZV+HFPEZ7+7+t4+r+vo3/n3rimcDguG3h+g/edaNo4Y7EaMeUuv/Q8bRouIYNeFVa1ZBcOef6N514Rz9LJnLUex45p59K2tv70jBkOYTy5m0kFBPT/rIXaK2HZy/Kac6HtKRDzbFhBo220/QQXEBD6s2NbRB/ceM0tr4UA5wKcc/u24Fo7zsFFtJ5zAWEpM/aNPvOYbdW5rcYmyTDqIjE13lRUlCfRmkhVyMW0iaByFYt/WIm3v/ovPvtuCUJK1KLRr2NPDD/5bAw76Ux0a9u54TqZIJ1at8OYc67CmHOuQkn5EXz2vyX4YOXnWPzDSqwuWo/VRevx8H9exBWDhuHms69Ej+NOaOguE42Y6sRhBbxjsTZvRnEUidSHcwGVq+BqVDyqKofK1ehrVY2WKdq2oqras6KipKSkoS+DqAXqRShedtllrtOVjDGkpaXhhBNOwK9//WuceOKJ9dGdJsW+kl8wc9kc/Gvph9h1sNgs717QBVcMGoZLBgxFx1YFDdjDmpGbkY2rT70QV596IfaV/IL/fDMXby37EJuLt+HNJbPx5pLZOOPEARj3f7/Gub0KaZ0NkTQUh5VoimjrF301UgnGulyicVMvXs+jR4/G7Nmz0axZM/Tv3x8AsGbNGhw+fBjnn38+vvvuO/z888+YP38+Tj/99LruTrVobN5bq7eux+sL3sVHaxZA0T2Vm2Xk4MrBF+Da0y5C7/bdGriHdYcQAl//9C3+/uW/8cm3C01P7Z7HnYC7LhiFi/ufC1mSG7iXqU9j+8wnijUO68knn4xnn30W55xzjmcc1qKiIvTu3Rvjx48347Dedddd+Pjjj5MKj3OsjidBeEGf+WODehGKf/jDH1BaWoqXXnoJkiQB0NY73H333cjOzsZjjz2G2267Dd9//z2WLl1a192pFo3hA69yFXO/W4xX5r2FVVvXmeUDj++DUUMux0WnnIs0f+xU2LHMzoPFeH3Bu/jXkjkoC2nrZbrmd8Rvh9+CS/qfZ34eiVgaw2e+OixcuNAWh9XAiMM6evRo/Pzzz1i4cKFtn3vuuQcbNmxAu3bt8NBDDyUdcPtYHU+C8II+88cG9SIUW7dujWXLlqFbN7sV68cff8Rpp52GAwcOYN26dTjzzDNx+PDhuu5OtUjlD3xYiWDW15/g5c//ha37dgDQYg9eNvB83HLO1ejTgab0D5eV4u8L/43X5r+Dw+XadEivdl1x/4hxNCXtQSp/5hsjNJ5EU4M+88cG9bJGUVEUbNy4MUYobty4EaqqTQumpaXRzTpJQpEw3lr2IV767E3sOqQttm+WkYObzr4CNw25Em1yWzZwD1OHZpk5mDj8Ztx67jV4fcG7eGXeTHy/czOuf2kizuw+AA9feTd6teva0N0kCIIgiJSiXoTijTfeiDFjxuD+++/HwIEDAQArV67E448/jpEjRwIAFi1ahF69etVHdxo9YSWCt7/6L174dAZ2H9oHAMjLbYVx//dr3HjGCGSmZTRwD1OX7PRMTBx+M0YPuQIvzv0H/r5wFpZsXIWhj43EjWeMwH2X/gYts5o1dDcJgiAIIiWol6lnVVXxxBNP4KWXXjLDTOTl5eHOO+/EfffdB1mWsX37dkiShHbt2tV1d6pFKpjQVa7i/W8+x9MfvY7tB3YDAAqat8Edw0bi16df3OTWH9YG2w7sxmMfvIwPV88HoFlkH7jsdlx/+iVNfv1iKnzmjyVoPImmBn3mjw3qPdez4S7f2D40DfmBF0JgwffL8dgH07Fhl+at2TqnBe7+1WjccMalJBBrgeWb1+KBd54xx7d/59740w1/aNIxGOlHvnah8SSaGvSZPzaoN6GoKAoWLlyILVu24Ne//jWys7Oxe/du5OTkICsrqz66UCMa6gP//c7NeOTfL2LxxpUAgJz0LNw5bCRuPucqZAa9g/0SyaOoCmYs+g+e+PAvOFpZDp8k445hN+KeC29G0B9o6O7VO/QjX7vQeBJNDfrMHxvUi1Dctm0bLrjgAmzfvh2hUAg//vgjjj/+eNx9990IhUJ49dVX67oLNaa+P/D7Sw/iyQ//gpnLPoQQAgGfHzeffRXu/tUoNM/MrfPzN2X2HNqHB959Bp98uwgAcGLB8Xhh1EPo17FHA/esfqEf+dqFxpNoatBn/tigXhZh3X333RgwYAAOHTpkS3l12WWXYf78+fXRhUZDRFXwly/exmmTr8K/ls6BEAKX9D8PSx5+Fw9feReJxHqgbfM2+PttT+KvYx9Hq+zm2LR7K4Y/eQue+u/riKhKQ3ePIAiCIOqNevF6XrJkCb766isEAvbpu06dOmHXrl310YVGwdKNqzDpnT9hc/HPAIC+Hbrj0avvwaATTmrYjjVRLjrlXBR2OwX3v/MnzFn1BZ79+G9YsH45pt/8MI7P69DQ3SMIgiCIOqdeLIpaQnE1pnznzp3Izs6ujy6kNPtKfsG4v03Glc/fgc3FP6NFVjM8e+P9mPuHv5NIbGBaZjXDX255FK+O+SOaZeTg220bcN5jI/HWsv+inv3ACIIgCKLeqReheP755+P55583txljOHr0KKZMmYILL7ywPrqQkqhcxRsL/43Tp1yND1Z+DolJuGnIlfjqkffwawrPklKMGPh/WPDQv3DGiQNQEa7ExDcfw+1/n4IjFWUN3TWCIAiCqDPqxZll586dGDZsGIQQ2Lx5MwYMGIDNmzejVatWWLx4Mdq0aVPXXagxtb0o94ddP+G3/5qGNUXfAwD6deyJJ399L07q2L3GxybqDs45Xv78X3jiw79A5SqOb9Mer499/JjM6kIL0WuX/2/vvuOiOPo/gH/u4I4iRRBBRAQVOygqgigKJigaBTSNoEYCihHFhhrFAlaIDbCGiEE0NuzxiSUqEROU6GONFRuIhaOogIKAwPz+8OF+nBwIyu0Vvu/Xa3/xZndnvru/e4a52dkZup+koaHvvGrgdHqcXbt24d9//8WrV6/QvXt3jBw5UuLlFkVWX1/4ojfFiDqyGev++BWl5WXQ0dTGnGET4NNvONT4avUYMZGl/97/F+M3zceTF5nQFGgg3HsmvHsPlXdY9Yoq+fpF95M0NPSdVw2cNBSLioqgqakp62Jkqj6+8P+9/y+Cfl2Ku6KHAIDPbJ2x1Gs6TA0Uv0eVVPX8VR4mxS1EwvWzAIBRTp5Y6jVdZeZcpEq+ftH9JA0NfedVAyeD4IyNjeHj44MTJ06gvLyciyIVSmFJEUJ2R8Fj5fe4K3oIY70m+OX7cMSOX0aNRCVmqKOPXyesxCyPceDxeNiW9BuGRwQg43/rbxNCCCHKjpOG4pYtW1BYWAhPT0+YmZlh6tSpuHDhAhdFy935e1fx6eJR2PjnLjDG4OU4BH+F7sSQbv3lHRqpB3w+H9M+88OOwEg01tbDpdQbcAv3xcUH1+UdGiGEEPLROGkoDh8+HHv27EFmZibCwsJw8+ZN9OrVC+3atcOiRYu4CIFzRW+KsWDvGniuGo/U7MdobmCMHZMisdpnPho3oi54VdO/cy8cC45FR7M2yMp/huERAdj9zxF5h0UIIYR8FE7nX9HV1YWvry+OHz+Of//9F40aNcLChQs/KK/169fD0tISmpqacHBwwPnz52s8PioqCu3bt4eWlhbMzc0xbdo0FBUVfVDZ73P14W0MWOqD6JM7wBiDd293JIbswCedHWVSHlEMlk1b4PeZMRjUtR9KSt9gctwiLD2woUEOtyCEEKIaOG0oFhUVYffu3Rg2bBi6d++O58+fY+bMmXXOJz4+HkFBQQgNDcWlS5fQtWtXuLm5IStL+tiwHTt2YPbs2QgNDcWtW7fwyy+/ID4+HnPmzPnYS5JQWlaKiMOxGLJsDO6K0mCs1wRbJ6xE5Oi50NPSqdeyiGJqpKmN2O9/xNTB3wEA1v6xFf4xc1BYIpsfJYQQQogscfLW8x9//IEdO3bg4MGDUFdXx5dffomRI0eiX79+H5Sfg4MDevbsiXXr1gF4O7edubk5Jk2ahNmzZ1c5PjAwELdu3ZJYV3r69Ok4d+4ckpKSalXm+97eSs16hMDNC3Ex9e3YtKHdP8HyEbNgqENrMzdUe/45iunbwlBS+gbdLDth64QVaKrXRN5h1Rq9sVi/6H6Shoa+86qBszGKr1+/xtatWyESifDzzz9/cCOxpKQEFy9ehKurqziNz+fD1dUVycnJUs/p3bs3Ll68KH48/eDBAxw5cqTGVWGKi4uRn58vsUnDGMOOM4fw6dLRuJh6HXpaOljvuwAx/kupkdjAfdVrMHZPWQuDRnq4nHYTQ5b7497/pkYihBBClAEnDcXMzEzs3r0bnp6eEAgEH5VXTk4OysrKYGJiIpFuYmICkUgk9ZwRI0Zg0aJFcHJygkAgQJs2beDi4lLjo+fw8HDo6+uLN3Nz8yrHvCjIw9iNcxD0axgKi1+jd7vu+HP+NnzhMAg8Hu+jrpOohl5tbfH7D5tg2bQF0nOewmPFOFx4cE3eYREo9jhnQghRFJw0FHV1dcX/LioqqlVPXX1KTExEWFgYNmzYgEuXLmH//v04fPgwFi9eXO05wcHByMvLE2+PHj2S2J+UchGfLB6Fw5dPQaCmjrnDJ2DP1LVoYdhM1pdDlEwbk5b4z8yNsLXohOcFefgqMhDH//1b3mE1aIo6zpkQQhQNJw3FgoICBAYGwtjYGI0aNYKBgYHEVhdGRkZQU1NDZmamRHpmZiaaNZPeSJs/fz6+/fZbjB07FjY2Nhg+fDjCwsIQHh5e7RupGhoa0NPTk9gA4E1ZKX78LRpfRQUiIzcbbUxa4vcfNmGS22hago9Uq6meIfYFrYerTR+8flMM3+jZ2Hn2d3mH1WBFRETA398fvr6+6NSpE6Kjo6GtrY3Y2Fipx589exZ9+vTBiBEjYGlpiYEDB8Lb2/u9vZCEEKLsOGko/vDDD/jzzz/x008/QUNDA5s2bcLChQvRvHlzbN26tU55CYVC9OjRQ+LFlPLyciQkJMDRUfr0M4WFheDzJS9VTe1to66u7/KMWDsNUUfjxNPeHJ+zBV0tOtQpD9IwNdLQwubxy+DlOARl5WWYtnUJ1h/fJu+wGhxFG+dMCCGKTJ2LQv7zn/9g69atcHFxga+vL/r27QsrKytYWFhg+/btGDlyZJ3yCwoKgo+PD+zs7GBvb4+oqCgUFBTA19cXADB69GiYmZkhPDwcAODu7o6IiAh069YNDg4OuHfvHubPnw93d3dxg7G2LqfdQGP9xlgxcjY87VzffwIhlQjU1BE1eh6a6DTGhhPbsXj/OrwoyMPcYRNoXCtHahrnfPv2bannjBgxAjk5OXBycgJjDKWlpRg/fvx7xzl/6DyxhBCiKDhpKD5//hytW7cGAOjp6eH58+cAACcnJwQEBNQ5Py8vL2RnZyMkJAQikQi2trY4duyYuOJPT0+X6EGcN28eeDwe5s2bhydPnqBp06Zwd3fH0qVL61y2rUUnbJr4I1oaNa/zuYQAAI/HQ8gXk2Co0xhLDqzHuj9+xcvXBQj/ZkaVnm+iGCqPc674sTllyhQsXrwY8+fPl3pOcHAwgoKCxJ/z8/OlvhRHCCGKjJN5FLt06YK1a9fC2dkZrq6usLW1xcqVK7FmzRosX74cjx8/lnUIH61iPqic58/QxMBQ3uEQFfHr3wfxw45lYIzhS4fBiBo9F+pqnPx+ey9FmgOtrKwMcXFxSEhIQFZWVpWxxX/++Wet8yopKYG2tjb27t2LYcOGidN9fHyQm5uL3377rco5ffv2Ra9evbBixQpx2rZt2zBu3Di8evWqVg18RbqfhHCBvvOqgZO/SL6+vrh69SqcnZ0xe/ZsuLu7Y926dXjz5g0iIiK4CKHeCBTkjzhRDd/2HQYdTW0Ebl6IveeO4nVJEX4aswhC9Y+bRkrVTJkyBXFxcRgyZAisra0/6jF95XHOFQ3FinHOgYGBUs+pz3HORHFVDCsoKyuTdyhKQU1NDerq6jRsRsVx0uqZNm2a+N+urq64ffs2Ll68CCsrK3Tp0oWLEAhRWMN7DoSWQBPjNs3F4cunMHZjMGL8w6AhEMo7NIWxa9cu7N69u8aXR+pCnuOciWIqKSlBRkYGCgsL5R2KUtHW1oapqSmEQqqvVBUnDcWioiJoamqKP1tYWMDCwoKLoglRCoNs+2FLwAr4Rs/C8X+T8F30D4j9/kdoCTXff3IDIBQKYWVlVW/5yXOcM1E85eXlSE1NhZqaGpo3bw6hUEi9ZO/BGENJSQmys7ORmpqKtm3b0hhrFcXJGEVNTU3Y29vD2dkZLi4u6N27N7S0tGRdbL2isRaEC0m3L+DbDTPwuqQIzh3tsTlgObTl1FhUpO/8qlWr8ODBA6xbt05p/4Ar0v0kkoqKipCamgoLCwtoa2vLOxylUlhYiIcPH6JVq1YSHUIAfedVBSc9iidPnsRff/2FxMREREZGorS0FHZ2duKG44ABA7gIgxCF59TBDjsnRWHEumk4fes8Rq+fga0TV8qtsagokpKScOrUKRw9ehSdO3eushTo/v375RQZUSXUI1Z3dM9UHyf/H3ZycsKcOXNw/Phx5Obm4tSpU7CyssLy5csxaNAgLkIgRGn0amuLXZOi0EhDG0kpFzB6/QwUljTsNYUbN26M4cOHw9nZGUZGRhLrsOvr68s7PEIIUVmcvcJ7584dJCYmirfi4mIMHToULi4uXIVAiNKwt+qKnZMi4b12GpJSLuC7DTOxZcKKBjtmcfPmzfIOgRBCGiROGopmZmZ4/fo1XFxc4OLiglmzZqFLly5KO9aIEC7YW3XFjkkRGLE2CH/d/i/8omdjc8AyaAo05B2a3GRnZyMlJQUA0L59ezRt2lTOERFCiGrj5NFz06ZNUVhYCJFIBJFIhMzMTLx+/ZqLoglRag5WttgeGAEtoSZO3fwHYzfOQUnpG3mHxbmCggL4+fnB1NQU/fr1Q79+/dC8eXOMGTOGpjMhDRKPx6txW7BgAdLS0sDj8aCmpoYnT55InJ+RkSGeAzEtLU2cnp6ejiFDhkBbWxvGxsaYOXMmSktLOb46okg4aSheuXIFIpEIs2fPRnFxMebMmQMjIyP07t0bc+fO5SIEQpRWr7a22DZxFbQEGjh57QzGb5qHN2UNq+IOCgrC6dOn8Z///Ae5ubniFVROnz6N6dOnyzs8QjiXkZEh3qKioqCnpyeRNmPGDPGxZmZm2Lp1q8T5W7ZsgZmZmURaWVkZhgwZgpKSEpw9exZbtmxBXFwcQkJCOLkmopg4mR6nsmfPniExMRG//fYbdu7cifLycqWYBZ9e8yfydvrmOYzeMBPFpSUYZjcA6/0WQI0vu8meFek7b2RkhL1791YZ03zq1Cl8/fXXyM7Olk9gdaBI95NIqpgep2KKF8aY3F4g0xZq1nlYVlxcHKZOnYrc3FyJ9LS0NLRq1Qrz5s1DfHw87ty5I97Xvn17eHl5YfHixUhNTYWlpSWOHj2KoUOH4unTp+I5RaOjozFr1ixkZ2dLnVT73XtXGX3nVQMnYxT3798vfonl5s2bMDQ0hJOTE1atWgVnZ2cuQiBE6Tl3ckDMuDCM+Xk2Dl44AU2hBiJGzWkQ01MUFhaK/3BVZmxsTI+eSb0rLClCmyn95VL2/dWn0EijfucZ9vDwQHR0NJKSkuDk5ISkpCS8ePEC7u7uWLx4sfi45ORk2NjYSPxvzc3NDQEBAbhx4wa6detWr3ER5cDJX5jx48fj6dOnGDduHC5fvoysrCzs378fkydPRteuXbkIgRCVMLCLEzb4LQKfx8eus79j3u6IBrHWsKOjI0JDQ1FU9P+9PK9fv8bChQvh6Ogox8gIUXwCgQCjRo1CbGwsACA2NhajRo2qMh+pSCSq8oOs4rNIJOImWKJwOOlRzMrK4qIYQhoE9x6foOjNfEzesgixiXuhq9kIwcMC5B2WTK1evRpubm5o0aKF+Mfl1atXoampiT/++EPO0RFVoy3UxP3Vp+RWtiz4+fmhd+/eCAsLw549e5CcnEwvqZBa4WweRUJI/fmq12AUlrzGrB3LsfrYFuhoNcIkt9HyDktmrK2tcffuXWzfvh23b98GAHh7e2PkyJFKtxwoUXw8Hq/eH//Km42NDTp06ABvb2907NgR1tbWuHLlisQxzZo1w/nz5yXSMjMzxftIw0QNRUKUlE+/z/GqqBCL96/D0gMboK+li9H9hss7LJnR1taGv7+/vMMgRGn5+flhwoQJ+Omnn6Tud3R0xNKlS5GVlQVjY2MAwIkTJ6Cnp4dOnTpxGSpRINRQJESJTRw4CvmFL7H62BbM2rkcelo6GNZTNdZOP3ToEAYPHgyBQIBDhw7VeKyHhwdHURGivPz9/fHVV1+hcePGUvcPHDgQnTp1wrfffovly5dDJBJh3rx5mDhxIjQ0Gu5E/w0dNRQJUXKzPccj7/UrxJ3eh8DNC6Cr1QifWveWd1gfbdiwYRCJRDA2NsawYcOqPY7H4ynFFFuEyJu6ujqMjIyq3a+mpobff/8dAQEBcHR0RKNGjeDj44NFixZxGCVRNJzPowi8nVvpzz//RPv27dGxY0eui/8gNB8UUWTl5eWYuHkBDvz3OLQEGoifsgb2Vh83owB95+sX3U/FVdNcgKRmNI+i6uNkepyvv/4a69atA/B2Sgs7Ozt8/fXX6NKlC/bt28dFCISoND6fjzXfheBT6954/aYY326YgVtP7sk7rHqzdetWFBcXV0kvKSmpsuIEIYSQ+sNJQ/Gvv/5C3759AQAHDhwAYwy5ublYs2YNlixZwkUIhKg8gZo6YsaFoWdrG+QVvoTX6il4mP3k/ScqAV9fX+Tl5VVJf/nyJXx9feUQESGENAycNBTz8vJgaGgIADh27Bi++OILaGtrY8iQIbh79y4XIRDSIGgLNfHrxFXo0LwNsvKf4Zs1U5Cd/1zeYX00xpjUZc0eP34MfX19OURECCENAycvs5ibmyM5ORmGhoY4duwYdu3aBQB48eIFjQchpJ41bqSHXZOjMHS5P1KzH2PkumnYH7QBOpqN5B1anXXr1g08Hg88Hg+ffvop1NX/v8oqKytDamoqBg0aJMcICSFEtXHSozh16lSMHDkSLVq0QPPmzeHi4gLg7SNpGxubD8pz/fr1sLS0hKamJhwcHKpMEvqu3NxcTJw4EaamptDQ0EC7du1w5MiRDyqbEEXXrHFT7J6yBk10DfBvegp8o2eh+E2JvMOqs2HDhsHT0xOMMbi5ucHT01O8ffPNN/j555+xbds2eYdJCCEqi5MexQkTJsDe3h6PHj3CgAEDwOe/bZ+2bt36g8YoxsfHIygoCNHR0XBwcEBUVBTc3NyQkpIiniS0spKSEgwYMADGxsbYu3cvzMzM8PDhw2rnkiJEFbQ2aYkdgZH4PGIC/r59AZPiFiJ6zGLx//6UQWhoKADA0tIS33zzDc3lRgghHOPsL4adnR2GDx8OHR0dcdqQIUPQp0+fOucVEREBf39/+Pr6olOnToiOjoa2trZ4wfN3xcbG4vnz5zh48CD69OkDS0tLODs7i9eMJURVdbXogNjvwyFQU8ehiwmYvycScpgR66N16tSpynJjAHDu3DlcuHDhg/KkpxKEEPJ+nPQo+vn51bi/ugaeNCUlJbh48SKCg4PFaXw+H66urkhOTpZ6zqFDh+Do6IiJEyfit99+Q9OmTTFixAjMmjULampqUs8pLi6WmI4jPz+/1jESokicOzlgzXchCPglBL+c2oNm+k0xaZByrQs9ceJE/PDDD3BwcJBIf/LkCZYtW4Zz587VKT96KkEIIbXDSUPxxYsXEp/fvHmD69evIzc3F5988kmd8srJyUFZWRlMTEwk0k1MTHD79m2p5zx48AB//vknRo4ciSNHjuDevXuYMGEC3rx5I3609a7w8HAsXLiwTrERoqiG9xyIrLxnCN27GksPboCxfhN4OQ6Rd1i1dvPmTXTv3r1Kerdu3XDz5s0651f5qQQAREdH4/Dhw4iNjcXs2bOrHF/xVOLs2bMQCAQA3j4OJ4QQVcdJQ/HAgQNV0srLyxEQEIA2bdrIvPzy8nIYGxtj48aNUFNTQ48ePfDkyROsWLGi2oZicHAwgoKCxJ/z8/Nhbm4u81gJkZXvXb2RmZeDDSe2I+jXMDTVM8QnnR3lHVataGhoIDMzE61bt5ZIz8jIkHgTujboqQQhhNSe3Ea18/l8BAUFITIysk7nGRkZQU1NDZmZmRLpmZmZaNasmdRzTE1N0a5dO4kKvWPHjhCJRCgpkf4mqIaGBvT09CQ2QpTdvOET8aXDIJSVl2Hsxjm48vCWvEOqlYEDByI4OFhi0u3c3FzMmTMHAwYMqFNeNT2VEIlEUs958OAB9u7di7KyMhw5cgTz58/HqlWranwZLzw8HPr6+uKNfmiS+lQxbVR124IFC5CWlgYejwc1NTU8eSI5+X7Fjywej4e0tDRx+uTJk9GjRw9oaGjA1taW24siCkmurz/ev38fpaWldTpHKBSiR48eSEhIEKeVl5cjISEBjo7Se0f69OmDe/fuoby8XJx2584dmJqaQigUfljwhCghPp+PiG/nwrmjPQqLX2PUuiCkZT+Wd1jvtXLlSjx69AgWFhbo378/+vfvj1atWkEkEmHVqlUyL7/yU4kePXrAy8sLc+fORXR0dLXnVDRsK7ZHjx7JPE7ScGRkZIi3qKgo6OnpSaTNmDFDfKyZmVmVpS63bNkCMzMzqXn7+fnBy8tLpvET5cHJo+fKj3CBt6ssZGRk4PDhw/Dx8fmg/Hx8fGBnZwd7e3tERUWhoKBAPN5o9OjRMDMzQ3h4OAAgICAA69atw5QpUzBp0iTcvXsXYWFhmDx58sdfHCFKRqguwC/fh2P4qgBce3QH3mum4tDMjWiqZyjv0KplZmaGf//9F9u3b8fVq1ehpaUFX19feHt7i8cM1taHPpUQCATVPpWQ9oNTQ0ODpvNRVowBbwrlU7ZAG5CyCtG7Kn9X9fX1wePxqnx/c3JyAAA+Pj7YvHmzxHCLzZs3w8fHB4sXL5Y4Z82aNQCA7Oxs/Pvvvx98GUR1cNJQvHz5ssRnPp+Ppk2bYtWqVe99I1oaLy8vZGdnIyQkBCKRCLa2tjh27Jj4UVJ6errEXHHm5ub4448/MG3aNHTp0gVmZmaYMmUKZs2a9XEXRoiS0tFshO2BkRiyfCxSsx/j2/UzsC9oPRppaMk7tGo1atQI48aN++h8Kj+VGDZsGID/fyoRGBgo9Zw+ffpgx44dKC8vF9ct9FRChb0pBBaZyqfskAxAWL+rKHl4eCA6OhpJSUlwcnJCUlISXrx4AXd39yoNRULexUlD8dSpU/WeZ2BgYLWVemJiYpU0R0dH/PPPP/UeByHKyli/CXZOioLHinG48vAmxsXMxZaA5VBX46Ra+CA3b95Eenp6lbHFHh4edcqHnkqQhkQgEGDUqFGIjY2Fk5MTYmNjMWrUqDr3xpOGidO/CFlZWUhJSQEAtG/fXup8ZYQQ7lg1s8DWiSvxZWQgEq6fxawdy7FyVDB4tXj0xaUHDx5g+PDhuHbtGng8nnjS8Io4y8rK6pQfPZUgNRJov+3Zk1fZMuDn54fevXsjLCwMe/bsQXJycp3fESANEycNxfz8fEycOBE7d+4Uv1CipqYGLy8vrF+/Hvr6+lyEQQiRwq61DaLHLIbfz7Ox/cwhmBoYY8bQsfIOS8KUKVPQqlUrJCQkoFWrVjh//jyePXuG6dOnY+XKlR+UJz2VINXi8er98a+82djYoEOHDvD29kbHjh1hbW0tdbUjQt7FyVvP/v7+OHfuHA4fPozc3Fzk5ubi999/x4ULF/D9999zEQIhpAaDbPsh3PvtW5Irf9+EHWcOyTkiScnJyVi0aBGMjIzA5/PB5/Ph5OSE8PBwevxLSC35+fkhMTHxg94NIA0XJz2Kv//+O/744w84OTmJ09zc3BATE4NBgwZxEQIh5D18+n2Op88zsfrYFszcvgw6oxXnxZaysjLo6uoCePvW8tOnT9G+fXtYWFiIh7MQQmrm7++Pr776qsalJ+/du4dXr15BJBLh9evX4l7HTp060YtbDRQnDcUmTZpIfbysr68PAwMDLkIghNTCbM/xeJqbjT3/HMHkuEXyDkfM2toaV69eRatWreDg4IDly5dDKBRi48aNVVZrIYRIp66uDiMjoxqPGTt2LE6fPi3+3K1bNwBAamoqLVvZQHHy6HnevHkICgqSWPVAJBJh5syZmD9/PhchEEJqgcfjYdWo4LcTcpe8lnc4YvPmzROPb160aBFSU1PRt29fHDlyRDzvGyEN1XfffYfc3Nwq6ZaWlmCMVbvCiq2tLRhjEg3AxMREMMaqbNRIbLhk1qPYrVs3iTcn7969i5YtW6Jly5YA3r5VqKGhgezsbBqnSIgCEaoLsGlcONzDxuA0Lso7HABvh6pUsLKywu3bt/H8+XMYGBgo3BvahBCiSmTWUKyYyJYQonx0tRohxj8M7ZbEyzsUvHnzBlpaWrhy5Qqsra3F6YaGiruSDCGEqAqZNRRDQ0NllTUhhAMmjWsey8QVgUCAli1b1nmuREIIIR+PkzGKhBDyMebOnYs5c+bg+fPn8g6FEEIaFMVdq4sQQv5n3bp1uHfvHpo3bw4LCws0aiQ5GfKlS5fkFBkhhKg2aigSQhQejXkmhBD5oIYiIUQhrVmzBuPGjYOmpiZ8fX3RokULifWXCSGEyB7ntW7FnEyEEFKToKAg5OfnAwBatWqFnJwcOUdECCEND2cNxa1bt8LGxgZaWlrQ0tJCly5d8Ouvv3JVPCFEyTRv3hz79u3Dw4cPwRjD48ePkZ6eLnUjhBAiG5w8eo6IiMD8+fMRGBiIPn36AACSkpIwfvx45OTkYNq0aVyEQQhRIvPmzcOkSZMQGBgIHo+Hnj17VjmGMQYej0dT5xBCiIxw0qO4du1a/PTTT1i2bBk8PDzg4eGB5cuXY8OGDbT8FiFEqnHjxiEnJwdXr14FYwwnTpzApUuXJLbLly/TG8+kQeLxeDVuCxYsQFpaGng8HtTU1PDkyROJ8zMyMqCurg4ej4e0tDQAwNWrV+Ht7Q1zc3NoaWmhY8eOWL16tRyujigSTnoUMzIy0Lt37yrpvXv3RkZGBhchEEKUkK6uLqytrbF582b06dMHGhoa8g6JEIVQ+W9nfHw8QkJCkJKSIk7T0dERj+s1MzPD1q1bERwcLN6/ZcsWmJmZSQzduHjxIoyNjbFt2zaYm5vj7NmzGDduHNTU1BAYGMjBVRFFxElD0crKCrt378acOXMk0uPj49G2bVsuQiCEKDEfHx95h0AaEMYYSkvlM5xBXV2tVuuXN2vWTPxvfX198Hg8iTQA4oaij48PNm/eLNFQ3Lx5M3x8fLB48WJxmp+fn8T5rVu3RnJyMvbv308NxQaMk4biwoUL4eXlhb/++ks8RvHMmTNISEjA7t27uQiBEEIIqZXS0jL8suWAXMoe4zMcAkH9/mn28PBAdHQ0kpKS4OTkhKSkJLx48QLu7u4SDUVp8vLyaF31Bo6TMYpffPEFzp07ByMjIxw8eBAHDx6EkZERzp8/j+HDh3MRAiGEENIgCQQCjBo1CrGxsQCA2NhYjBo1CgKBoMbzzp49i/j4eIwbN46LMImC4mzC7R49emDbtm1cFUcIIYR8EHV1NYzxkU8nhrq6mkzy9fPzQ+/evREWFoY9e/YgOTkZpaWl1R5//fp1eHp6IjQ0FAMHDpRJTEQ5cNKjqKamhqysrCrpz549g5qabP5HQQhRPSUlJUhJSanxD1xtrV+/HpaWltDU1ISDgwPOnz9fq/N27doFHo9HywqqMB6PB4FAXS5bbcYnfggbGxt06NAB3t7e6NixI6ytras99ubNm/j0008xbtw4zJs3TybxEOXBSUOxupVYiouLIRQKuQiBEKLECgsLMWbMGGhra6Nz587iNzUnTZqEH3/8sc75xcfHIygoCKGhobh06RK6du0KNzc3qT9oK0tLS8OMGTPQt2/fD7oOQuTJz88PiYmJVV5aqezGjRvo378/fHx8sHTpUg6jI4pKpg3FNWvWYM2aNeDxeNi0aZP485o1axAZGYmJEyeiQ4cOH5Q39QYQ0nAEBwfj6tWrSExMhKampjjd1dUV8fHxdc4vIiIC/v7+8PX1RadOnRAdHQ1tbW3xGC5pysrKMHLkSCxcuBCtW7f+oOsgRJ78/f2RnZ2NsWPHSt1//fp19O/fHwMHDkRQUBBEIhFEIhGys7M5jpQoEpmOUYyMjATwtkcxOjpa4jGzUCiEpaUloqOj65xvRW9AdHQ0HBwcEBUVBTc3N6SkpMDY2Lja86g3gBDldPDgQcTHx6NXr14Sj+Y6d+6M+/fv1ymvkpISXLx4UWKqED6fD1dXVyQnJ1d73qJFi2BsbIwxY8bg77//fm85xcXFKC4uFn+uWLeaEHlRV1eHkZFRtfv37t2L7OxsbNu2TeKdAgsLC/Gk3KThkWmPYmpqKlJTU+Hs7IyrV6+KP6empiIlJQV//PEHHBwc6pwv9QYQ0rBkZ2dL/RFYUFBQ5zFdOTk5KCsrg4mJiUS6iYkJRCKR1HOSkpLwyy+/ICYmptblhIeHQ19fX7yZm5vXKU5Cauu7775Dbm5ulXRLS0swxmBrayv1PFtbWzDGYGlpCQBYsGABGGNVNmokNmycjFE8deoUDAwM6iWvit4AV1dXcVpdewNqo7i4GPn5+RIbIUQ+7OzscPjwYfHnisbhpk2b4OjoKNOyX758iW+//RYxMTE19sa8Kzg4GHl5eeLt0aNHMoySEEJkg7PpcepLTb0Bt2/flnpORW/AlStXal1OeHg4Fi5c+DGhEkLqSVhYGAYPHoybN2+itLQUq1evxs2bN3H27FmcPn26TnkZGRlBTU0NmZmZEumZmZlVVrYAgPv37yMtLQ3u7u7itPLycgBvH+WlpKSgTZs2Vc7T0NCgJQcJIUqPkx5FeaLeAEKUn5OTE65cuYLS0lLY2Njg+PHjMDY2RnJyMnr06FGnvIRCIXr06IGEhARxWnl5ORISEqT2Tnbo0AHXrl3DlStXxJuHhwf69++PK1eu0CNlQohKU7oeReoNIKRhatOmTZ3GCNYkKCgIPj4+sLOzg729PaKiolBQUABfX18AwOjRo2FmZobw8HBoampWmXOucePGAFDjXHSEEKIKlK6hWLk3oGKKm4reAGmLllf0BlQ2b948vHz5EqtXr6beAEIUVF3GBevp6dUpby8vL2RnZyMkJAQikQi2trY4duyYeEhLeno6+HyVf+BCCCHvxVlDMTc3F+fPn0dWVpa4R6/C6NGj65QX9QYQovoaN25c6zeay8rK6px/YGCg1B+XAJCYmFjjuXFxcXUujxBClBEnDcX//Oc/GDlyJF69egU9PT2Jyp/H49W5oUi9AYSovlOnTon/nZaWhtmzZ+O7774TjyNMTk7Gli1bEB4eLq8QCSFE5fFYdevr1aN27drhs88+Q1hYGLS1tWVdnEzk5+dDX18feXl5dX7MRYgyUqTv/KeffoqxY8fC29tbIn3Hjh3YuHHje3sAFYEi3U8iqaioCKmpqWjVqpXEyj/k/Wq6d/SdVw2cdLs9efIEkydPVtpGIiFEvpKTk2FnZ1cl3c7OrtbLdxJCCKk7ThqKbm5uuHDhAhdFEUJUkLm5udQ3njdt2kQvpBFCiAxxMkZxyJAhmDlzJm7evAkbGxsIBAKJ/R4eHlyEQQhRUpGRkfjiiy9w9OhR8bKf58+fx927d7Fv3z45R0cI9973oldoaCi+++47tGrVCnw+H+np6TAzMxPvz8jIgLm5OcrKypCamgpLS0s8e/YMI0eOxL///otnz57B2NgYnp6eCAsLo0fHDRgnDUV/f38Ab5fRexePx/ugNxYJIQ3HZ599hrt372LDhg3iFZjc3d0xfvx46lEkDVJGRob43/Hx8QgJCUFKSoo4TUdHBzk5OQAAMzMzbN26FcHBweL9W7ZsgZmZGdLT08VpfD4fnp6eWLJkCZo2bYp79+5h4sSJeP78OXbs2MHBVRFFxElD8d3pcAghpK5atGiBsLAweYdBGgDGGFBcIp/CNYS1mhaq8gIT+vr64PF4VRadqGgo+vj4YPPmzRINxc2bN8PHxweLFy8WpxkYGCAgIED82cLCAhMmTMCKFSs++HKI8lO6CbcJIQ1Tbm4ufvnlF9y6dQsA0LlzZ/j5+UFfX1/OkRGVU1yCQq8guRStHR8BaNbvqmAeHh6Ijo5GUlISnJyckJSUhBcvXsDd3V2iofiup0+fYv/+/XB2dq7XeIhy4WyywdOnT8Pd3R1WVlawsrKCh4cH/v77b66KJ4QosQsXLqBNmzaIjIzE8+fP8fz5c0RERKBNmza4dOmSvMMjRKEJBAKMGjUKsbGxAIDY2FiMGjWqyvsCFby9vaGtrQ0zMzPo6elh06ZNXIZLFAwnPYrbtm2Dr68vPv/8c0yePBkAcObMGXz66aeIi4vDiBEjuAiDEKKkpk2bBg8PD8TExEBd/W21VVpairFjx2Lq1Kn466+/5BwhUSkawrc9e3IqWxb8/PzQu3dvhIWFYc+ePUhOTkZpaanUYyMjIxEaGoo7d+4gODgYQUFB2LBhg0ziIoqPk4bi0qVLsXz5ckybNk2cNnnyZERERGDx4sXUUCSE1OjChQsSjUQAUFdXxw8//CB1fkVCPgaPx6v3x7/yZmNjgw4dOsDb2xsdO3aEtbU1rly5IvXYZs2aoVmzZujQoQMMDQ3Rt29fzJ8/H6amptwGTRQCJ4+eHzx4AHd39yrpHh4eSE1N5SIEQogS09PTk3g7s8KjR4+gq6srh4gIUT5+fn5ITEyEn59frc+peBm1uLhYVmERBcdJj6K5uTkSEhJgZWUlkX7y5Ema2oIQ8l5eXl4YM2YMVq5cid69ewN4O3xl5syZVZb1I4RI5+/vj6+++gqNGzeWuv/IkSPIzMxEz549oaOjgxs3bmDmzJno06cPLC0tOY2VKA5OGorTp0/H5MmTceXKFYlKPi4uDqtXr+YiBEKIElu5ciV4PB5Gjx4tHlclEAgQEBCAH3/8Uc7REaIc1NXVYWRkVO1+LS0txMTEYNq0aSguLoa5uTk+//xzzJ49m8MoiaLhMcYYFwUdOHAAq1atEk9t0bFjR8ycOROenp5cFP/RaHFz0tAo4ne+sLAQ9+/fBwC0adNGqdaPV8T7Sd4qKipCamoqWrVqBU1NTXmHo1Rqunf0nVcNnM2jOHz4cAwfPpyr4gghKkhbWxs2NjbyDoMQQhoMmnCbEKKwajvovmJ+OEIIIfVLZg1FQ0ND3LlzB0ZGRjAwMKhxSaLnz5/LKgxCiBKLi4uDhYUFunXrBo5GyRBCCKlEZg3FyMhI8bQVkZGRtVq7khBCKgsICMDOnTuRmpoKX19fjBo1CoaGhvIOixBCGgzOXmZRdjQolzQ0ivKdLy4uxv79+xEbG4uzZ89iyJAhGDNmDAYOHKhUP0AV5X6SqipeyLCwsFCqF6QUQWFhIR4+fEgvs6gwTsYoXrp0CQKBQDwI/bfffsPmzZvRqVMnLFiwAEKhbJYsIoQoPw0NDXh7e8Pb2xsPHz5EXFwcJkyYgNLSUty4cQM6OjryDpEoOaFQCD6fj6dPn6Jp06YQCoVK9SNEHhhjKCkpQXZ2Nvh8Pv0dV2GcNBS///57zJ49GzY2Nnjw4AG8vLzw+eefY8+ePSgsLERUVBQXYRBClByfzwePxwNjDGVlZR+V1/r167FixQqIRCJ07doVa9euhb29vdRjY2JisHXrVly/fh0A0KNHD4SFhVV7PFEufD4frVq1QkZGBp4+fSrvcJSKtrY2WrZsCT6fk4XeiBxw0lC8c+cObG1tAQB79uyBs7MzduzYgTNnzuCbb76hhiIhpFqVHz0nJSVh6NChWLduHQYNGvTBf5zi4+MRFBSE6OhoODg4ICoqCm5ubkhJSYGxsXGV4xMTE+Ht7Y3evXtDU1MTy5Ytw8CBA3Hjxg2YmZl97CUSBSAUCtGyZUuUlpZ+9I+QhkJNTQ3q6urU+6riOGkoMsbE60WePHkSQ4cOBfB2ab+cnBwuQiCEKKEJEyZg165dMDc3h5+fH3bu3FnjyhK1FRERAX9/f/j6+gIAoqOjcfjwYcTGxkpdhWL79u0Snzdt2oR9+/YhISEBo0ePllpGcXGxxPq4+fn5Hx03kS0ejweBQACBQCDvUAhRGJw0FO3s7LBkyRK4urri9OnT+OmnnwAAqampMDEx4SIEQogSio6ORsuWLdG6dWucPn0ap0+flnrc/v37a51nSUkJLl68iODgYHEan8+Hq6srkpOTa5VHYWEh3rx5U+Mb2OHh4Vi4cGGt4yKEEEXEyaCCqKgoXLp0CYGBgZg7dy6srKwAAHv37hWv/VxX69evh6WlJTQ1NeHg4IDz589Xe2xMTAz69u0LAwMDGBgYwNXVtcbjCSGKYfTo0ejfvz8aN24MfX39are6yMnJQVlZWZUfqSYmJhCJRLXKY9asWWjevDlcXV2rPSY4OBh5eXni7dGjR3WKkxBCFAEnPYpdunTBtWvXqqSvWLECampqdc6PxhcR0jDExcXJO4QqfvzxR+zatQuJiYk1rgusoaEBDQ0NDiMjhJD6x0mP4qNHj/D48WPx5/Pnz2Pq1KnYunXrB40FqTy+qFOnToiOjoa2tna1y3ht374dEyZMgK2tLTp06IBNmzahvLwcCQkJH3xNhBDlZGRkBDU1NWRmZkqkZ2ZmolmzZjWeu3LlSvz44484fvw4unTpIsswCSFEIXDSUBwxYgROnToFABCJRBgwYADOnz+PuXPnYtGiRXXKq2J8UeVHPrIYX1RcXIz8/HyJjRCi/IRCIXr06CHxQ7Hih6Ojo2O15y1fvhyLFy/GsWPHYGdnx0WohBAid5w0FK9fvy6eb2z37t2wtrbG2bNnsX379jo/WuJqfFF4eLjEGChzc/M6xUkIUVxBQUGIiYnBli1bcOvWLQQEBKCgoED8FvTo0aMlXnZZtmwZ5s+fj9jYWFhaWkIkEkEkEuHVq1fyugRCCOEEJ2MU37x5Ix6rc/LkSXh4eAAAOnTogIyMDC5CEKvt+KLg4GAEBQWJP+fn51NjkRAV4eXlhezsbISEhEAkEsHW1hbHjh0T/wBNT0+XmKPxp59+QklJCb788kuJfEJDQ7FgwQIuQyeEEE5x0lDs3LkzoqOjMWTIEJw4cQKLFy8GADx9+hRNmjSpU171Mb7o5MmT7x1fRAPRCVFtgYGBCAwMlLovMTFR4nNaWprsAyKEEAXEyaPnZcuW4eeff4aLiwu8vb3RtWtXAMChQ4fqvAQWjS8ihBBCCOEGJz2KLi4uyMnJQX5+PgwMDMTp48aNg7a2dp3zCwoKgo+PD+zs7GBvb4+oqKgq44vMzMwQHh4O4G1DNSQkBDt27BCPLwIAHR0d6Ojo1MMVEkIIIYSoHk4aisDbNSErNxIBwNLS8oPyovFFhBBCCCGyx2OMMVlk3L17dyQkJMDAwADdunWrcdHwS5cuySKEepWfnw99fX3k5eVBT09P3uEQInP0na9fdD9JQ0PfedUgsx5FT09P8csgw4YNk1UxhBBCCCFERmTWo6hq6JcRaWjoO1+/6H6Shoa+86qBszGKFV69eoXy8nKJNPoCEUIIIYQoHk6mx0lNTcWQIUPQqFEj6Ovrw8DAAAYGBmjcuHGVF1wIIYQQQohi4KRHcdSoUWCMITY2FiYmJjW+2EIIIYQQQhQDJw3Fq1ev4uLFi2jfvj0XxRFCCCGEkHrAyaPnnj174tGjR1wURQghhBBC6gknPYqbNm3C+PHj8eTJE1hbW0MgEEjsf9+6y4QQQgghhHucNBSzs7Nx//598RJ7AMDj8cAYA4/HQ1lZGRdhEEIIIYSQOuCkoejn54du3bph586d9DILIYQQQoiS4KSh+PDhQxw6dAhWVlZcFEcIIYQQQuoBJy+zfPLJJ7h69SoXRRFCCCGEkHrCSY+iu7s7pk2bhmvXrsHGxqbKyyweHh5chEEIIYQQQuqAk4bi+PHjAQCLFi2qso9eZiGEEEIIUUycNBTfXduZEEIIIYQoPk7GKEqTm5srr6IJIYQQQkgtcNJQXLZsGeLj48Wfv/rqKxgaGsLMzIxeciGEyMX69ethaWkJTU1NODg44Pz58zUev2fPHnTo0AGampqwsbHBkSNHOIqUEELkh5OGYnR0NMzNzQEAJ06cwMmTJ3Hs2DEMHjwYM2fO5CIEQggRi4+PR1BQEEJDQ3Hp0iV07doVbm5uyMrKknr82bNn4e3tjTFjxuDy5csYNmwYhg0bhuvXr3McOSGEcIvHGGOyLkRLSwt37tyBubk5pkyZgqKiIvz888+4c+cOHBwc8OLFC1mH8NHy8/Ohr6+PvLw86OnpyTscQmROlb/zDg4O6NmzJ9atWwfg7Thqc3NzTJo0CbNnz65yvJeXFwoKCvD777+L03r16gVbW1tER0fXqsyK+5kRux562lrVH1hjlfye6rq63ZXXOKicv8TiB6xSMu+d497Ji0lJq9V+VqnM//2bsUr7eZX+U5EJk8zr3XjfPVZq3qzSKTzwKvJklY6vfC4gef2s8v7/HfPufvExDChnUo55+394jIFV7Ks4h+Gdf5f/b39FWeX/nxcr///0/+WH8sr7K+dbsZVLppezt/eAlQNgYKyaY1k5UF7+v2Mr76v03/K3/+WJ08vB/vff/KJSNF1zRiXrkIaEk5dZDAwM8OjRI5ibm+PYsWNYsmQJAIAxRm88E0I4VVJSgosXLyI4OFicxufz4erqiuTkZKnnJCcnIygoSCLNzc0NBw8erLac4uJiFBcXiz/n5+cDANiey2AC4UdcgezJvPeAcEw+ryO8eVMC4Ixcyib1h5OG4ueff44RI0agbdu2ePbsGQYPHgwAuHz5Mq3WQgjhVE5ODsrKymBiYiKRbmJigtu3b0s9RyQSST1eJBJVW054eDgWLlxYJb1YOwtF78wl+yHqpzFX03KqPCkFSR7PYzyJ3f/fmfhOvqy67kdp5VSNiQdeNfvfLafKWe90bkq53mpvZNVjqx7Kqv9UbWhMal6V94v7NnmQklql71P6Pp7kPil9ptWkScZX/u7xvLdplc+X3Jj436/4b0CUHycNxcjISFhaWuLRo0dYvnw5dHR0AAAZGRmYMGECFyEQQgingoODJXoh8/PzYW5uDo2fNkKTHsORBiA/Px84uEfeYZCPxElDUSAQYMaMGVXSp02bxkXxhBAiZmRkBDU1NWRmZkqkZ2ZmolmzZlLPadasWZ2OBwANDQ1oaGhUSW+koYVGGjWMUSRERZRpUI+iKuCkoQgAd+/exalTp5CVlVVlAu6QkBCuwiCENHBCoRA9evRAQkIChg0bBuDtyywJCQkIDAyUeo6joyMSEhIwdepUcdqJEyfg6OjIQcSEECI/nIxwjYmJQceOHRESEoK9e/fiwIED4q2mweA1oTnQCCEfKigoCDExMdiyZQtu3bqFgIAAFBQUwNfXFwAwevRoiZddpkyZgmPHjmHVqlW4ffs2FixYgAsXLlTbsCSEEJXBONCyZUv2448/1lt+u3btYkKhkMXGxrIbN24wf39/1rhxY5aZmSn1+DNnzjA1NTW2fPlydvPmTTZv3jwmEAjYtWvXal1mXl4eA8Dy8vLq6zIIUWiq/p1fu3Yta9myJRMKhcze3p79888/4n3Ozs7Mx8dH4vjdu3ezdu3aMaFQyDp37swOHz5cp/JU/X4S8i76zqsGTuZR1NPTw5UrV9C6det6yU+ec6DRfFCkoaDvfP2i+0kaGvrOqwZOxih+9dVXOH78OMaPH//ReclrDrS8vDwA/z8XGiGqTjzvn+x/SzYIFfeR6hDSUFAdoho4aShaWVlh/vz5+Oeff2BjYwPBO3OITZ48udZ5yXsOtIqlCAlpKJ49ewZ9fX15h6H0nj17BoDqENLwUB2i3DhpKG7cuBE6Ojo4ffo0Tp8+LbGPx+PVqaHIlXfnQMvNzYWFhQXS09PpC8+xivnnHj16RI8vOJSXl4eWLVvC0NBQ3qGohIr7SHUIt6j+kB+qQ1QDJw3F1NTUestL3nOg6evrU2UjJ3p6enTv5YDPl8/yX6qm4j5SHSIfVH/ID9Uhyk3p/r9XeQ60ChVzoFU3p1nFHGiV0RxohBBCCCE142zC7cePH+PQoUNIT09HSUmJxL6IiIg65RUUFAQfHx/Y2dnB3t4eUVFRVeZAMzMzQ3h4OIC3c6A5Oztj1apVGDJkCHbt2oULFy5g48aN9XNxhBBCCCEqiJOGYkJCAjw8PNC6dWvcvn0b1tbWSEtLA2MM3bt3r3N+Xl5eyM7ORkhICEQiEWxtbXHs2DHxCyvp6ekSXd29e/fGjh07MG/ePMyZMwdt27bFwYMHYW1tXesyNTQ0EBoaKvVxNJEtuvfyQfe9ftH9lA+67/JD9141cDKPor29PQYPHoyFCxdCV1cXV69ehbGxMUaOHIlBgwYhICBA1iEQQgghhJA64qShqKuriytXrqBNmzYwMDBAUlISOnfujKtXr8LT0xNpaWmyDoEQQgghhNQRJy+zNGrUSDwu0dTUFPfv3xfvy8nJ4SIEQgghhBBSR5yMUezVqxeSkpLQsWNHfPbZZ5g+fTquXbuG/fv3o1evXlyEQAghhBBC6oiTR88PHjzAq1ev0KVLFxQUFGD69Ok4e/Ys2rZti4iICFhYWMg6BEIIIYQQUkcyf/RcVlaGx48fo2XLlgDePoaOjo7Gv//+i3379smlkfjXX3/B3d0dzZs3B4/Hq3HNZwBITEwEj8ersr27BOD69ethaWkJTU1NODg44Pz58zK8CuUki3u/YMGCKvs7dOgg4ytRLnW978Db9c7nzp0LCwsLaGhowNLSErGxsRLH7NmzBx06dICmpiZsbGxw5MgRGV2BYqE6RH6oDpEPqkMaLpk3FNXU1DBw4EC8ePFC1kXVWkFBAbp27Yr169fX6byUlBRkZGSIN2NjY/G++Ph4BAUFITQ0FJcuXULXrl3h5uaGrKys+g5fqcni3gNA586dJfYnJSXVZ9hK70Pu+9dff42EhAT88ssvSElJwc6dO9G+fXvx/rNnz8Lb2xtjxozB5cuXMWzYMAwbNgzXr1+XxSUoFKpD5IfqEPmgOqQBYxzo0aMHO3nyJBdF1RkAduDAgRqPOXXqFAPAXrx4Ue0x9vb2bOLEieLPZWVlrHnz5iw8PLyeIlU99XXvQ0NDWdeuXes1NlVWm/t+9OhRpq+vz549e1btMV9//TUbMmSIRJqDgwP7/vvv6yNMpUF1iPxQHSIfVIc0LJy89bxkyRLMmDEDv//+OzIyMpCfny+xKQtbW1uYmppiwIABOHPmjDi9pKQEFy9ehKurqziNz+fD1dUVycnJ8ghV5VR37yvcvXsXzZs3R+vWrTFy5Eikp6fLIUrVcejQIdjZ2WH58uUwMzNDu3btMGPGDLx+/Vp8THJyssR3HgDc3NzoO18DqkPkh+oQblEdojpk+tbzokWLMH36dHz22WcAAA8PD/B4PPF+xhh4PB7KyspkGcZHMzU1RXR0NOzs7FBcXIxNmzbBxcUF586dQ/fu3ZGTk4OysjLxyjAVTExMcPv2bTlFrRred+8BwMHBAXFxcWjfvj0yMjKwcOFC9O3bF9evX4eurq6cr0A5PXjwAElJSdDU1MSBAweQk5ODCRMm4NmzZ9i8eTMAQCQSSf3OvzvujlAdIk9Uh8gH1SGqQ6YNxYULF2L8+PE4deqULIuRufbt20uMq+jduzfu37+PyMhI/Prrr3KMTPXV5t4PHjxYvL9Lly5wcHCAhYUFdu/ejTFjxnAesyooLy8Hj8fD9u3boa+vD+DtmuxffvklNmzYAC0tLTlHqFyoDpEfqkPkg+oQ1SHThiL738w7zs7OsixGLuzt7cWDnY2MjKCmpobMzEyJYzIzM9GsWTN5hKfSKt97aRo3box27drh3r17HEalWkxNTWFmZiau4AGgY8eOYIzh8ePHaNu2LZo1a0bf+Y9AdYj8UB0ie1SHqA6Zj1Gs/KhZlVy5cgWmpqYAAKFQiB49eiAhIUG8v7y8HAkJCXB0dJRXiCqr8r2X5tWrV7h//36Nx5Ca9enTB0+fPsWrV6/EaXfu3AGfz0eLFi0AAI6OjhLfeQA4ceIEfedrieoQ+aE6RPaoDlEhsnxThsfjscaNGzMDA4MaN669fPmSXb58mV2+fJkBYBEREezy5cvs4cOHjDHGZs+ezb799lvx8ZGRkezgwYPs7t277Nq1a2zKlCmMz+dLvMm9a9cupqGhweLi4tjNmzfZuHHjWOPGjZlIJOL8+hSZLO799OnTWWJiIktNTWVnzpxhrq6uzMjIiGVlZXF+fYqqrvf95cuXrEWLFuzLL79kN27cYKdPn2Zt27ZlY8eOFR9z5swZpq6uzlauXMlu3brFQkNDmUAgYNeuXeP8+rhGdYj8UB0iH1SHNFwybyiuXr2axcXF1bhxrWK6hHc3Hx8fxhhjPj4+zNnZWXz8smXLWJs2bZimpiYzNDRkLi4u7M8//6yS79q1a1nLli2ZUChk9vb27J9//uHoipSHLO69l5cXMzU1ZUKhkJmZmTEvLy927949Dq9K8dX1vjPG2K1bt5irqyvT0tJiLVq0YEFBQaywsFDimN27d7N27doxoVDIOnfuzA4fPszRFckX1SHyQ3WIfFAd0nDJdAk/Pp8PkUhUZWJTQgghhBCi+GQ6RlFVxycSQgghhDQEMm0oyrCzkhBCCCGEyJhMHz0TQgghhBDlxckSfoQQQgghRPlQQ5EQQgghhEhFDUVCCCGEECIVNRQJIYQQQohU1FAkhBBCCCFSUUOREEIIIYRIRQ1FQgghhBAiFTUUSb1zcXHB1KlT5R2G2IfG8+zZMxgbGyMtLa3eY3rXN998g1WrVsm8HEKUAdUhdUd1CJEVaigqqejoaOjq6qK0tFSc9urVKwgEAri4uEgcm5iYCB6Ph/v373McJbfq+4/L0qVL4enpCUtLy3rLszrz5s3D0qVLkZeXJ/OyCAGoDpGG6hBCqqKGopLq378/Xr16hQsXLojT/v77bzRr1gznzp1DUVGROP3UqVNo2bIl2rRpI49QlVJhYSF++eUXjBkzhpPyrK2t0aZNG2zbto2T8gihOkS2qA4hqoIaikqqffv2MDU1RWJiojgtMTERnp6eaNWqFf755x+J9P79+wMAjh07BicnJzRu3BhNmjTB0KFDJXoJNm7ciObNm6O8vFyiPE9PT/j5+QEAysvLER4ejlatWkFLSwtdu3bF3r17q421Nse7uLhg8uTJ+OGHH2BoaIhmzZphwYIFEse8fPkSI0eORKNGjWBqaorIyEhxD8B3332H06dPY/Xq1eDxeODxeBKPe8rLy2vM+11HjhyBhoYGevXqJZGelJQEgUAg8Uc0LS0NPB4PDx8+hIuLCyZNmoSpU6fCwMAAJiYmiImJQUFBAXx9faGrqwsrKyscPXq0Spnu7u7YtWtXjXERUl+oDqE6hJBaYURpjRgxgg0cOFD8uWfPnmzPnj1s/PjxLCQkhDHGWGFhIdPQ0GBxcXGMMcb27t3L9u3bx+7evcsuX77M3N3dmY2NDSsrK2OMMfb8+XMmFArZyZMnxfk+e/ZMIm3JkiWsQ4cO7NixY+z+/fts8+bNTENDgyUmJjLGGHN2dmZTpkwRn/++4yvO0dPTYwsWLGB37txhW7ZsYTwejx0/flx8zNixY5mFhQU7efIku3btGhs+fDjT1dVlU6ZMYbm5uczR0ZH5+/uzjIwMlpGRwUpLS2ud97smT57MBg0aVCV97dq1zMbGRiJt//79zMDAQFyWrq4uW7x4Mbtz5w5bvHgxU1NTY4MHD2YbN25kd+7cYQEBAaxJkyasoKBAIp+jR48yoVDIioqKqo2LkPpEdQjVIYS8DzUUlVhMTAxr1KgRe/PmDcvPz2fq6uosKyuL7dixg/Xr148xxlhCQgIDwB4+fCg1j+zsbAaAXbt2TZzm6enJ/Pz8xJ9//vln1rx5c1ZWVsaKioqYtrY2O3v2rEQ+Y8aMYd7e3owxyUq+NsdXnOPk5CRxTM+ePdmsWbMYY4zl5+czgUDA9uzZI96fm5vLtLW1xWW9+8eltnlL8+49qDB27Fg2evRoibSQkBDm4uIitazS0lLWqFEj9u2334rTMjIyGACWnJwskc/Vq1cZAJaWllZtXITUJ6pDqA4h5H3o0bMSc3FxQUFBAf773//i77//Rrt27dC0aVM4OzuLxxglJiaidevWaNmyJQDg7t278Pb2RuvWraGnpyceZJ2eni7Od+TIkdi3bx+Ki4sBANu3b8c333wDPp+Pe/fuobCwEAMGDICOjo5427p1q9SB7nU5vkuXLhKfTU1NkZWVBQB48OAB3rx5A3t7e/F+fX19tG/fvlb3qqa8pXn9+jU0NTWrpF+5cgW2trYSaZcvX5ZIq1yWmpoamjRpAhsbG3GaiYkJAFQpX0tLC8DbsU2EcIHqEKpDCHkfdXkHQD6clZUVWrRogVOnTuHFixdwdnYGADRv3hzm5uY4e/YsTp06hU8++UR8jru7OywsLBATEyMeR2RtbY2SkhKJYxhjOHz4MHr27Im///4bkZGRAN6+FQkAhw8fhpmZmUQ8GhoaVWKsy/ECgUDiM4/HqzLO6UPVNW8jIyO8ePFCIq2srAzXr19Ht27dJNIvXbqEL774osayKqfxeDwAqFL+8+fPAQBNmzZ93+UQUi+oDqk9qkNIQ0UNRSXXv39/JCYm4sWLF5g5c6Y4vV+/fjh69CjOnz+PgIAAAG/n9EpJSUFMTAz69u0L4O3A6ndpamri888/x/bt23Hv3j20b98e3bt3BwB06tQJGhoaSE9PF/9RqUldj69O69atIRAI8N///lfcs5GXl4c7d+6gX79+AAChUIiysrIPLqOybt26VXl7MCUlBUVFRWjevLk4LTk5GU+ePKnSQ/Ahrl+/jhYtWsDIyOij8yKktqgOoTqEkJpQQ1HJ9e/fHxMnTsSbN28kKlFnZ2cEBgaipKRE/LaigYEBmjRpgo0bN8LU1BTp6emYPXu21HxHjhyJoUOH4saNGxg1apQ4XVdXFzNmzMC0adNQXl4OJycn5OXl4cyZM9DT04OPj49EPnU9vjq6urrw8fHBzJkzYWhoCGNjY4SGhoLP54t/XVtaWuLcuXNIS0uDjo4ODA0Nwed/2OgKNzc3BAcH48WLFzAwMADw9pERAKxduxaTJ0/GvXv3MHnyZACQ6E35UH///TcGDhz40fkQUhdUh1AdQkhNaIyikuvfvz9ev34NKysr8bgV4G0l//LlS/EUGADA5/Oxa9cuXLx4EdbW1pg2bRpWrFghNd9PPvkEhoaGSElJwYgRIyT2LV68GPPnz0d4eDg6duyIQYMG4fDhw2jVqpXUvOp6fHUiIiLg6OiIoUOHwtXVFX369EHHjh3F44BmzJgBNTU1dOrUCU2bNpUYM1VXNjY26N69O3bv3i1Ou3LlCtzc3PDgwQPY2Nhg7ty5WLhwIfT09LBmzZoPLgsAioqKcPDgQfj7+39UPoTUFdUhVIcQUhMeY4zJOwhCPkRBQQHMzMywatUqmUxqe/jwYcycORPXr18Hn8+Hm5sbevbsiSVLltR7WT/99BMOHDiA48eP13vehBDpqA4h5P3o0TNRGpcvX8bt27dhb2+PvLw8LFq0CMDbiXxlYciQIbh79y6ePHkCc3NzXL16VTxhcH0TCARYu3atTPImhLxFdQghdUc9ikRpXL58GWPHjkVKSgqEQiF69OiBiIgIiWkjZEUkEsHU1BQ3btxAp06dZF4eIaT+UR1CSN1RQ5EQQgghhEhFL7MQQgghhBCpqKFICCGEEEKkooYiIYQQQgiRihqKhBBCCCFEKmooEkIIIYQQqaihSAghhBBCpKKGIiGEEEIIkYoaioQQQgghRCpqKBJCCCGEEKmooUgIIYQQQqT6P89yWHizc7klAAAAAElFTkSuQmCC",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "postprocess(sim_data, \"TM\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e901c1cd",
   "metadata": {},
   "source": [
    "### TM0 to TM1 Conversion "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "03345ee5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "
19:00:01 -03 Created task 'evanescent_coupler_tm1' with resource_id             \n",
       "             'fdve-255328b8-3776-40e9-878f-d59475b38dfa' and task_type 'FDTD'.  \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:00:01 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'evanescent_coupler_tm1'\u001b[0m with resource_id             \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-255328b8-3776-40e9-878f-d59475b38dfa'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             View task using web UI at                                          \n",
       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-255328b8-377\n",
       "             6-40e9-878f-d59475b38dfa'.                                         \n",
       "
\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=543298;https://tidy3d.simulation.cloud/workbench?taskId=fdve-255328b8-3776-40e9-878f-d59475b38dfa\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=866332;https://tidy3d.simulation.cloud/workbench?taskId=fdve-255328b8-3776-40e9-878f-d59475b38dfa\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=543298;https://tidy3d.simulation.cloud/workbench?taskId=fdve-255328b8-3776-40e9-878f-d59475b38dfa\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=450901;https://tidy3d.simulation.cloud/workbench?taskId=fdve-255328b8-3776-40e9-878f-d59475b38dfa\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=543298;https://tidy3d.simulation.cloud/workbench?taskId=fdve-255328b8-3776-40e9-878f-d59475b38dfa\u001b\\\u001b[32m-255328b8-377\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=543298;https://tidy3d.simulation.cloud/workbench?taskId=fdve-255328b8-3776-40e9-878f-d59475b38dfa\u001b\\\u001b[32m6-40e9-878f-d59475b38dfa'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             Task folder: 'default'.                                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=215470;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9e695d38f88f4a579097d4469d6784c7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
19:00:06 -03 Estimated FlexCredit cost: 0.078. Minimum cost depends on task     \n",
       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
       "             FlexCredit cost after a simulation run.                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:00:06 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.078\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": [
       "
19:00:09 -03 status = queued                                                    \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:00:09 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             To cancel the simulation, use 'web.abort(task_id)' or              \n",
       "             'web.delete(task_id)' or abort/delete the task in the web UI.      \n",
       "             Terminating the Python script will not stop the job running on the \n",
       "             cloud.                                                             \n",
       "
\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": "fd28df7dbd134bf88b4f63eca8d7d5de",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
19:00:16 -03 starting up solver                                                 \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:00:16 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
19:00:17 -03 running solver                                                     \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:00:17 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c6ddc38d1da14f92a1fd6bf560ebb343",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
19:00:22 -03 early shutoff detected at 28%, exiting.                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:00:22 -03\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m28\u001b[0m%, exiting.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             status = postprocess                                               \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9625e841eaab42728a76c6cb4c17c257",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
19:00:26 -03 status = success                                                   \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:00:26 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
19:00:28 -03 View simulation result at                                          \n",
       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-255328b8-377\n",
       "             6-40e9-878f-d59475b38dfa'.                                         \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:00:28 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=969638;https://tidy3d.simulation.cloud/workbench?taskId=fdve-255328b8-3776-40e9-878f-d59475b38dfa\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=490653;https://tidy3d.simulation.cloud/workbench?taskId=fdve-255328b8-3776-40e9-878f-d59475b38dfa\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=969638;https://tidy3d.simulation.cloud/workbench?taskId=fdve-255328b8-3776-40e9-878f-d59475b38dfa\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=55255;https://tidy3d.simulation.cloud/workbench?taskId=fdve-255328b8-3776-40e9-878f-d59475b38dfa\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=969638;https://tidy3d.simulation.cloud/workbench?taskId=fdve-255328b8-3776-40e9-878f-d59475b38dfa\u001b\\\u001b[4;34m-255328b8-377\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=969638;https://tidy3d.simulation.cloud/workbench?taskId=fdve-255328b8-3776-40e9-878f-d59475b38dfa\u001b\\\u001b[4;34m6-40e9-878f-d59475b38dfa'\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": "1a16db708a1a48208ec60e761047a739",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
19:00:36 -03 Loading simulation from data/simulation_data.hdf5                  \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:00:36 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from data/simulation_data.hdf5                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim = make_sim(\"TM\", **design_params[\"TM1\"])\n",
    "\n",
    "job = web.Job(simulation=sim, task_name=\"evanescent_coupler_tm1\", verbose=True)\n",
    "sim_data = job.run(path=\"data/simulation_data.hdf5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "366b6f4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "postprocess(sim_data, \"TM\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90e5a7be",
   "metadata": {},
   "source": [
    "##  8-channel (De)multiplexer Simulation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e877ea9d",
   "metadata": {},
   "source": [
    "Once we confirm the efficiency of the six couplers individually, we are ready to put them together to construct the entire (de)multiplexer device. This device is made by connecting the couplers via linear tapers. The linear tapers have a small angle of 1.8 degree to ensure good transmission. The overall device has a length of about 200 $\\mu m$.\n",
    "\n",
    "The process of creating the structure is rather long and tedious. Therefore, we will skip that in this notebook and only import the constructed GDSII file. The GDSII file can be downloaded from our documentation [repo](https://github.com/flexcompute/tidy3d-notebooks/tree/develop/misc) if needed.\n",
    "\n",
    "There are eight input ports labeled as I1, I2, ..., I8. The top four ports are for TE0 excitation. The bottom four ports are for TM0 excitation.\n",
    "\n",
    "\"Top"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "6d85f620",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_49902/3614133347.py:3: RuntimeWarning: Setting default technology to a basic default. Set 'photonforge.config.default_technology' to the desired technology.\n",
      "  components = pf.load_layout(gds_path)\n"
     ]
    }
   ],
   "source": [
    "gds_path = \"misc/8ChannelDemultiplexer.gds\"\n",
    "\n",
    "components = pf.load_layout(gds_path)\n",
    "top_level = pf.find_top_level(*components.values())[0]\n",
    "structures_dict = top_level.get_structures()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b87fa9f2",
   "metadata": {},
   "source": [
    "Similar to what is demonstrated above, we will define a list of [PolySlabs](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.PolySlab.html?highlight=polyslab) from the GDS cell."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "ec60d73d",
   "metadata": {},
   "outputs": [],
   "source": [
    "demultiplexer_poly = [\n",
    "    td.PolySlab(\n",
    "        vertices=poly.to_polygon().vertices,\n",
    "        axis=2,\n",
    "        slab_bounds=(-h / 2, h / 2),\n",
    "    )\n",
    "    for poly in structures_dict.get((0, 0), [])\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15e0cada",
   "metadata": {},
   "source": [
    "Convert the list of PolySlabs to a list of Tidy3D [Structures](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Structure.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "0303dd85",
   "metadata": {},
   "outputs": [],
   "source": [
    "demultiplexer_structure = []\n",
    "for s in demultiplexer_poly:\n",
    "    demultiplexer_structure.append(\n",
    "        td.Structure(\n",
    "            geometry=s,\n",
    "            medium=si,\n",
    "        )\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4a2f477",
   "metadata": {},
   "source": [
    "To confirm the structures are defined correctly, we can visualize them. Since this device has a large aspect ratio (~200 $\\mu m$ in length and ~35 $\\mu m$ in width), we will set the aspect ratio of the plot to `auto`. Otherwise, the details of the structures are not clearly viewed. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "1b4e1e71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(1, 1)\n",
    "for s in demultiplexer_structure:\n",
    "    s.plot(z=0, ax=ax)\n",
    "ax.set_ylim(-20, 20)\n",
    "ax.set_xlim(-194, 6)\n",
    "ax.set_aspect(\"auto\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60d0be55",
   "metadata": {},
   "source": [
    "Now we are ready to perform simulation on this device. To fully characterize the device, we need to excite all eight inputs individually and obtain the transmission at the end of the central bus waveguide. However, since the model is pretty large, for the sake of not making the notebook too long, we will only select two inputs in this notebook as demonstrations.\n",
    "\n",
    "First, let's excite the I7 port with the TM0 mode, which should be converted to TM2 mode in the bus waveguide. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "83087ce8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# define a mode source at the straight part of the I7 port\n",
    "mode_source = td.ModeSource(\n",
    "    center=(-75, -12.5, 0),\n",
    "    size=(0, 2.5, 8 * h),\n",
    "    source_time=td.GaussianPulse(freq0=freq0, fwidth=fwidth),\n",
    "    direction=\"+\",\n",
    "    mode_spec=td.ModeSpec(num_modes=1, target_neff=n_si),\n",
    "    mode_index=0,\n",
    ")\n",
    "\n",
    "# define a mode monitor at the end of the bus waveguide to measure coupling efficiency\n",
    "bus_mode_monitor = td.ModeMonitor(\n",
    "    center=(5.5, 0, 0),\n",
    "    size=(0, 4, 8 * h),\n",
    "    freqs=freqs,\n",
    "    mode_spec=td.ModeSpec(num_modes=4, target_neff=n_si),\n",
    "    name=\"bus_mode\",\n",
    ")\n",
    "\n",
    "# define a field monitor at the xy plane to visualize field distribution\n",
    "field_monitor = td.FieldMonitor(\n",
    "    center=(0, 0, 0), size=(td.inf, td.inf, 0), freqs=[freq0], name=\"field\"\n",
    ")\n",
    "\n",
    "run_time = 5e-12  # simulation run time\n",
    "\n",
    "# define simulation\n",
    "sim = td.Simulation(\n",
    "    size=(200, 20, 10 * h),\n",
    "    center=(-94, -5, 0),\n",
    "    grid_spec=td.GridSpec.auto(min_steps_per_wvl=15, wavelength=lda0),\n",
    "    structures=demultiplexer_structure,\n",
    "    sources=[mode_source],\n",
    "    monitors=[bus_mode_monitor, field_monitor],\n",
    "    run_time=run_time,\n",
    "    boundary_spec=td.BoundarySpec.all_sides(boundary=td.PML()),\n",
    "    medium=sio2,\n",
    "    symmetry=(0, 0, -1),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "416c3df7",
   "metadata": {},
   "source": [
    "Since this simulation is computationally heavy, it is always a good practice to visualize the simulation setup first before submitting the job to the server. This helps avoid running incorrectly set up simulations and wasting time and FlexCredit."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "2a8f323e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sim.plot(z=0)\n",
    "ax.set_aspect(\"auto\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b70a3ae9",
   "metadata": {},
   "source": [
    "Submit the simulation job to the server. Before running the simulation, we can get a cost estimation using `estimate_cost`. This prevents us from accidentally running large jobs that we set up by mistake. The estimated cost is the maximum cost corresponding to running all the time steps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "97aaf4aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "
19:00:38 -03 Created task '8_channel_demultiplexer_I7' with resource_id         \n",
       "             'fdve-236a20d8-57d8-4899-b3e4-edb4a4868d33' and task_type 'FDTD'.  \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:00:38 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'8_channel_demultiplexer_I7'\u001b[0m with resource_id         \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-236a20d8-57d8-4899-b3e4-edb4a4868d33'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             View task using web UI at                                          \n",
       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-236a20d8-57d\n",
       "             8-4899-b3e4-edb4a4868d33'.                                         \n",
       "
\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=483335;https://tidy3d.simulation.cloud/workbench?taskId=fdve-236a20d8-57d8-4899-b3e4-edb4a4868d33\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=99458;https://tidy3d.simulation.cloud/workbench?taskId=fdve-236a20d8-57d8-4899-b3e4-edb4a4868d33\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=483335;https://tidy3d.simulation.cloud/workbench?taskId=fdve-236a20d8-57d8-4899-b3e4-edb4a4868d33\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=388172;https://tidy3d.simulation.cloud/workbench?taskId=fdve-236a20d8-57d8-4899-b3e4-edb4a4868d33\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=483335;https://tidy3d.simulation.cloud/workbench?taskId=fdve-236a20d8-57d8-4899-b3e4-edb4a4868d33\u001b\\\u001b[32m-236a20d8-57d\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=483335;https://tidy3d.simulation.cloud/workbench?taskId=fdve-236a20d8-57d8-4899-b3e4-edb4a4868d33\u001b\\\u001b[32m8-4899-b3e4-edb4a4868d33'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             Task folder: 'default'.                                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=656861;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4e879e3454274f80afdb97f41bfb4177",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
19:00:43 -03 Estimated FlexCredit cost: 4.296. Minimum cost depends on task     \n",
       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
       "             FlexCredit cost after a simulation run.                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:00:43 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m4.296\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"
    }
   ],
   "source": [
    "job = web.Job(simulation=sim, task_name=\"8_channel_demultiplexer_I7\", verbose=True)\n",
    "estimated_cost = web.estimate_cost(job.task_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "45885c17",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "
19:00:45 -03 Estimated FlexCredit cost: 4.296. Minimum cost depends on task     \n",
       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
       "             FlexCredit cost after a simulation run.                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:00:45 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m4.296\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": [
       "
19:00:48 -03 status = queued                                                    \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:00:48 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             To cancel the simulation, use 'web.abort(task_id)' or              \n",
       "             'web.delete(task_id)' or abort/delete the task in the web UI.      \n",
       "             Terminating the Python script will not stop the job running on the \n",
       "             cloud.                                                             \n",
       "
\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": {
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19:01:01 -03 status = preprocess                                                \n",
       "
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       "\u001b[2;36m19:01:01 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
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       "
19:01:06 -03 starting up solver                                                 \n",
       "
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       "\u001b[2;36m19:01:06 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
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19:01:07 -03 running solver                                                     \n",
       "
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       "\u001b[2;36m19:01:07 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
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19:05:48 -03 early shutoff detected at 64%, exiting.                            \n",
       "
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       "\u001b[2;36m19:05:48 -03\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m64\u001b[0m%, exiting.                            \n"
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       "\n"
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19:05:49 -03 status = postprocess                                               \n",
       "
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       "\u001b[2;36m19:05:49 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
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19:05:59 -03 status = success                                                   \n",
       "
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       "\u001b[2;36m19:05:59 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
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       "
19:06:01 -03 View simulation result at                                          \n",
       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-236a20d8-57d\n",
       "             8-4899-b3e4-edb4a4868d33'.                                         \n",
       "
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      ],
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       "\u001b[2;36m19:06:01 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=148609;https://tidy3d.simulation.cloud/workbench?taskId=fdve-236a20d8-57d8-4899-b3e4-edb4a4868d33\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=663417;https://tidy3d.simulation.cloud/workbench?taskId=fdve-236a20d8-57d8-4899-b3e4-edb4a4868d33\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=148609;https://tidy3d.simulation.cloud/workbench?taskId=fdve-236a20d8-57d8-4899-b3e4-edb4a4868d33\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=767277;https://tidy3d.simulation.cloud/workbench?taskId=fdve-236a20d8-57d8-4899-b3e4-edb4a4868d33\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=148609;https://tidy3d.simulation.cloud/workbench?taskId=fdve-236a20d8-57d8-4899-b3e4-edb4a4868d33\u001b\\\u001b[4;34m-236a20d8-57d\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=148609;https://tidy3d.simulation.cloud/workbench?taskId=fdve-236a20d8-57d8-4899-b3e4-edb4a4868d33\u001b\\\u001b[4;34m8-4899-b3e4-edb4a4868d33'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
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       "
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       "
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       "
19:06:26 -03 Loading simulation from data/simulation_data.hdf5                  \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:06:26 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from data/simulation_data.hdf5                  \n"
      ]
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   ],
   "source": [
    "sim_data = job.run(path=\"data/simulation_data.hdf5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c5cb75e",
   "metadata": {},
   "source": [
    "The visualization process is similar to what we did in the previous section. First, inspect the field intensity distribution. This shows that the TM0 mode is indeed converted to the TM2 mode in the bus waveguide.\n",
    "\n",
    "Noticeably, there appears to be some leakage at the waveguide bends. This leaves room for further optimization. It can be improved by using a smoother transition such as a [Euler bend](../notebooks/EulerWaveguideBend.html). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "11688bab",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sim_data.plot_field(\n",
    "    field_monitor_name=\"field\", field_name=\"E\", val=\"abs^2\", f=freq0, vmin=0, vmax=1000\n",
    ")\n",
    "ax.set_aspect(\"auto\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9323e7e",
   "metadata": {},
   "source": [
    "Despite the loss at the waveguide bend, the coupling efficiency to TM2 mode is still about 95%."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "24861f06",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for index in range(4):\n",
    "    amp = sim_data[\"bus_mode\"].amps.sel(mode_index=index, direction=\"+\")\n",
    "    T = np.abs(amp) ** 2\n",
    "    plt.plot(ldas, T, label=f\"TM{index}\")\n",
    "    plt.xlim(1.5, 1.6)\n",
    "    plt.ylim(0, 1)\n",
    "    plt.xlabel(r\"Wavelength ($\\mu$m)\")\n",
    "    plt.ylabel(\"Transmission to bus waveguide\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5374eba5",
   "metadata": {},
   "source": [
    "Lastly, we perform a simulation by exciting the I3 port with the TE0 mode. For this simulation, we only need to update a few things from the previous simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "cad91b66",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# define a mode source at the I3 port\n",
    "mode_source = td.ModeSource(\n",
    "    center=(-175, 6.8, 0),\n",
    "    size=(0, 2.5, 8 * h),\n",
    "    source_time=td.GaussianPulse(freq0=freq0, fwidth=fwidth),\n",
    "    direction=\"+\",\n",
    "    mode_spec=td.ModeSpec(num_modes=1, target_neff=n_si),\n",
    "    mode_index=0,\n",
    ")\n",
    "\n",
    "# define a simulation by copying the previous simulation and updating a few things\n",
    "sim = sim.copy(\n",
    "    update={\n",
    "        \"size\": (200, 15, 10 * h),\n",
    "        \"center\": (-94, 2.5, 0),\n",
    "        \"symmetry\": (0, 0, 1),\n",
    "        \"sources\": [mode_source],\n",
    "    }\n",
    ")\n",
    "\n",
    "\n",
    "ax = sim.plot(z=0)\n",
    "ax.set_aspect(\"auto\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "7cbf0289",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "
19:06:31 -03 Created task '8_channel_demultiplexer_I3' with resource_id         \n",
       "             'fdve-042746ec-8d9a-425d-96ca-84790d2bf6e5' and task_type 'FDTD'.  \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:06:31 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'8_channel_demultiplexer_I3'\u001b[0m with resource_id         \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-042746ec-8d9a-425d-96ca-84790d2bf6e5'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             View task using web UI at                                          \n",
       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-042746ec-8d9\n",
       "             a-425d-96ca-84790d2bf6e5'.                                         \n",
       "
\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=726859;https://tidy3d.simulation.cloud/workbench?taskId=fdve-042746ec-8d9a-425d-96ca-84790d2bf6e5\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=288485;https://tidy3d.simulation.cloud/workbench?taskId=fdve-042746ec-8d9a-425d-96ca-84790d2bf6e5\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=726859;https://tidy3d.simulation.cloud/workbench?taskId=fdve-042746ec-8d9a-425d-96ca-84790d2bf6e5\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=659358;https://tidy3d.simulation.cloud/workbench?taskId=fdve-042746ec-8d9a-425d-96ca-84790d2bf6e5\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=726859;https://tidy3d.simulation.cloud/workbench?taskId=fdve-042746ec-8d9a-425d-96ca-84790d2bf6e5\u001b\\\u001b[32m-042746ec-8d9\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=726859;https://tidy3d.simulation.cloud/workbench?taskId=fdve-042746ec-8d9a-425d-96ca-84790d2bf6e5\u001b\\\u001b[32ma-425d-96ca-84790d2bf6e5'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             Task folder: 'default'.                                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=973988;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5f013993dbc34ea4b238607ecc4ccd17",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
19:06:37 -03 Estimated FlexCredit cost: 3.304. Minimum cost depends on task     \n",
       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
       "             FlexCredit cost after a simulation run.                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:06:37 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m3.304\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": [
       "
19:06:40 -03 status = queued                                                    \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:06:40 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             To cancel the simulation, use 'web.abort(task_id)' or              \n",
       "             'web.delete(task_id)' or abort/delete the task in the web UI.      \n",
       "             Terminating the Python script will not stop the job running on the \n",
       "             cloud.                                                             \n",
       "
\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": "cbbd851f53dd4915a82b5d6f941c97f4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
19:06:53 -03 starting up solver                                                 \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:06:53 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
             running solver                                                     \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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       "model_id": "898146c631914456b9b0874c6cf77756",
       "version_major": 2,
       "version_minor": 0
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      "text/plain": [
       "Output()"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
19:09:33 -03 early shutoff detected at 76%, exiting.                            \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:09:33 -03\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m76\u001b[0m%, exiting.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
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    {
     "data": {
      "text/html": [
       "
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       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
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    {
     "data": {
      "text/html": [
       "
19:09:34 -03 status = postprocess                                               \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:09:34 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "Output()"
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     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "
19:09:40 -03 status = success                                                   \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:09:40 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
19:09:42 -03 View simulation result at                                          \n",
       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-042746ec-8d9\n",
       "             a-425d-96ca-84790d2bf6e5'.                                         \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:09:42 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=19519;https://tidy3d.simulation.cloud/workbench?taskId=fdve-042746ec-8d9a-425d-96ca-84790d2bf6e5\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=97536;https://tidy3d.simulation.cloud/workbench?taskId=fdve-042746ec-8d9a-425d-96ca-84790d2bf6e5\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=19519;https://tidy3d.simulation.cloud/workbench?taskId=fdve-042746ec-8d9a-425d-96ca-84790d2bf6e5\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=900037;https://tidy3d.simulation.cloud/workbench?taskId=fdve-042746ec-8d9a-425d-96ca-84790d2bf6e5\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=19519;https://tidy3d.simulation.cloud/workbench?taskId=fdve-042746ec-8d9a-425d-96ca-84790d2bf6e5\u001b\\\u001b[4;34m-042746ec-8d9\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=19519;https://tidy3d.simulation.cloud/workbench?taskId=fdve-042746ec-8d9a-425d-96ca-84790d2bf6e5\u001b\\\u001b[4;34ma-425d-96ca-84790d2bf6e5'\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": "51ec12a7acaa402caed244c51e85a94c",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
19:10:04 -03 Loading simulation from data/simulation_data.hdf5                  \n",
       "
\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:10:04 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from data/simulation_data.hdf5                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "job = web.Job(simulation=sim, task_name=\"8_channel_demultiplexer_I3\", verbose=True)\n",
    "sim_data = job.run(path=\"data/simulation_data.hdf5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab9b9dea",
   "metadata": {},
   "source": [
    "Field distribution shows a good conversion to the TE1 mode. Loss at the waveguide bend also appears to be smaller in this case."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "8036a25a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sim_data.plot_field(\n",
    "    field_monitor_name=\"field\", field_name=\"E\", val=\"abs^2\", f=freq0, vmin=0, vmax=2000\n",
    ")\n",
    "ax.set_aspect(\"auto\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95041b87",
   "metadata": {},
   "source": [
    "Nearly 100% coupling efficiency is achieved. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "33aa1acf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for index in range(4):\n",
    "    amp = sim_data[\"bus_mode\"].amps.sel(mode_index=index, direction=\"+\")\n",
    "    T = np.abs(amp) ** 2\n",
    "    plt.plot(ldas, T, label=f\"TE{index}\")\n",
    "    plt.xlim(1.5, 1.6)\n",
    "    plt.ylim(0, 1)\n",
    "    plt.xlabel(r\"Wavelength ($\\mu$m)\")\n",
    "    plt.ylabel(\"Transmission to bus waveguide\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "99b4b9d3",
   "metadata": {},
   "source": [
    "Besides I3 and I7, other input ports can also be examined systematically, which we do not explicitly show in this notebook. "
   ]
  }
 ],
 "metadata": {
  "applications": [
   "Passive photonic integrated circuit components"
  ],
  "description": "This notebook demonstrates how to model a 8-channel mode and polarization (de)multiplexer in Tidy3D FDTD.",
  "feature_image": "./img/8_channel_demultiplexer_1.png",
  "features": [
   "GDS component",
   "Mode analysis"
  ],
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "keywords": "silicon photonics, PIC, integrated photonics, demultiplexer, Tidy3D, FDTD",
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
  },
  "title": "8-Channel (De)multiplexer Modeling in Tidy3D | Flexcompute",
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