{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "466b2e4d-aa6d-4fb1-89a7-040483130605",
   "metadata": {},
   "source": [
    "# EME solver\n",
    "\n",
    "This notebook demonstrates basic usage of Tidy3D's EigenMode Expansion (EME) solver. We simulate some example devices and discuss some tips and tricks.\n",
    "\n",
    "EME is a frequency-domain method for propagating electromagnetic fields and computing the full bidirectional scattering matrix of a device along a fixed axis. It is useful for simulating longer waveguide devices; for such devices, it can be much faster than FDTD, although sometimes the results can be less accurate. EME is well-suited for devices in which the propagation is primarily confined to a particular axis. It is not well-suited for free-space or omnidirectional propagation. For example, in this notebook, we simulate an evanescent waveguide coupler and a waveguide taper, as shown below.\n",
    "\n",
    "<img src=\"img/eme_evanescent_coupler.png\" height=\"600\" alt=\"Evanescent Waveguide Coupler\">\n",
    "<img src=\"img/eme_taper.png\" height=\"600\" alt=\"Waveguide Taper\">\n",
    "\n",
    "In a translationally invariant waveguide, the eigenmodes propagate independently, each with its own propagation constant. At a discontinuity in the transverse profile of a device, the forward and backward travelling modes on each side couple together; there is reflection and transmission described by a scattering matrix, expressed in the basis of eigenmodes on each side. The tangential fields are continuous at the interface. For a piecewise uniform device, we can calculate the scattering matrix at each discontinuity and then combine them to obtain the full scattering matrix. For a general device whose cross-sectional profile may vary continuously, we can discretize the device into cells into along the propagation axis, assuming that the cross section is uniform within each cell. If the discretization is fine enough, the resulting piecewise uniform geometry approaches the true continuously varying geometry.\n",
    "\n",
    "In our EME solver, the simulation is divided into cells along the propagation axis. In each cell, we assume the device is translationally invariant and solve for the modes of the device. Between each pair of cells, the device cross section and modal basis can change; we impose field continuity conditions and solve for the coupling between the two modal bases."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d60d5da1-bef6-4780-948e-249e0a4d568b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import tidy3d as td\n",
    "import tidy3d.web as web\n",
    "from matplotlib import pyplot as plt\n",
    "from tidy3d.plugins import waveguide"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5418b88c-819b-4709-8ecc-606c807ef60b",
   "metadata": {},
   "source": [
    "## Evanescent Waveguide Coupler\n",
    "\n",
    "As a first example, we look at evanescent coupling between a pair of waveguides. Using EME, we can efficiently simulate long devices and perform length sweeps to help design these devices."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2651dfe2-74cb-4ee0-a9e2-0591c3423eae",
   "metadata": {},
   "source": [
    "### EME Simulation Setup\n",
    "\n",
    "We first define the materials and geometries present in the simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5de5ea47-1d6f-4894-8ae7-0c41e997a065",
   "metadata": {},
   "outputs": [],
   "source": [
    "si = td.material_library[\"cSi\"][\"Li1993_293K\"]\n",
    "sio2 = td.material_library[\"SiO2\"][\"Palik_Lossless\"]\n",
    "\n",
    "l = 6\n",
    "h = 0.22\n",
    "w = 0.45\n",
    "g = 0.05\n",
    "\n",
    "geo = td.GeometryGroup(\n",
    "    geometries=[\n",
    "        td.Box(size=(w, h, 2 * l), center=(-(w + g) / 2, 0, 0)),\n",
    "        td.Box(size=(w, h, 2 * l), center=((w + g) / 2, 0, l)),\n",
    "    ]\n",
    ")\n",
    "\n",
    "wvgs = td.Structure(geometry=geo, medium=si)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5f27f92-f0df-48a1-a779-2a2585b19275",
   "metadata": {},
   "source": [
    "Now we define the EME simulation.\n",
    "\n",
    "The EME simulation has a `grid_spec` field and an `eme_grid_spec` field. The `grid_spec` field defines a Yee grid like the one present in FDTD simulations. This grid is used for mode solving and for storing field data. In contrast, the `eme_grid_spec` defines a 1D grid along the propagation axis, dividing the simulation into EME cells. The choice of EME grid can be important in determining the speed and accuracy of the EME simulation. Here, we use an `EMEExplicitGrid` with three cells. We make sure that the cell boundaries are aligned with any discontinuities in the device profile, and we make sure that the number of modes in each cell is large enough to capture the physics of interest.\n",
    "\n",
    "The EME solver always calculates the full bidirectional scattering matrix of the device. The scattering matrix is defined in the modal basis of the two ports of the device, which are the boundaries of the first and last EME cells. By default these would be the simulation bounds along the propagation axis; here, we set `port_offsets` to shift these boundaries. We also add an `EMEFieldMonitor` to help visualize the field.\n",
    "\n",
    "Finally, we add a `sweep_spec` to the simulation in order to sweep the length of the coupling region. Simple length sweeps can be easier in EME simulations than in FDTD simulations -- the modes can be reused so there is no need to run a new simulation each time. We need to create a separate simulation for the sweep, since length sweeps are not compatible with `EMEFieldMonitor`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8e6cfec1-1bbe-462e-ad7e-308c8e164c32",
   "metadata": {},
   "outputs": [
    {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "eme_grid_spec = td.EMEExplicitGrid(\n",
    "    boundaries=[0, l],\n",
    "    mode_specs=[\n",
    "        td.EMEModeSpec(num_modes=2),\n",
    "        td.EMEModeSpec(num_modes=4),\n",
    "        td.EMEModeSpec(num_modes=2),\n",
    "    ],\n",
    ")\n",
    "\n",
    "eme_field_mon = td.EMEFieldMonitor(name=\"field\", size=(td.inf, 0, td.inf))\n",
    "\n",
    "lengths = np.linspace(l, 6 * l, 100)\n",
    "\n",
    "eme_sim = td.EMESimulation(\n",
    "    center=(0, 0, l / 2),\n",
    "    size=(6 * w, h + 4 * w, l + 4 * w),\n",
    "    structures=[wvgs],\n",
    "    medium=sio2,\n",
    "    symmetry=(0, 1, 0),\n",
    "    grid_spec=td.GridSpec.auto(min_steps_per_wvl=10),\n",
    "    monitors=[eme_field_mon],\n",
    "    eme_grid_spec=eme_grid_spec,\n",
    "    freqs=[td.C_0 / 1.55],\n",
    "    axis=2,\n",
    "    port_offsets=(w, w),\n",
    ")\n",
    "\n",
    "eme_sim_sweep = eme_sim.updated_copy(\n",
    "    sweep_spec=td.EMELengthSweep(scale_factors=list(lengths / l)), monitors=[]\n",
    ")\n",
    "\n",
    "_ = eme_sim.plot(y=0, monitor_alpha=0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23ab060d-0ce6-4887-93f8-7de32f602378",
   "metadata": {},
   "source": [
    "Now we run the simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ba01adb8-e540-4f20-b949-4debf06e4a11",
   "metadata": {},
   "outputs": [],
   "source": [
    "sims = {\"eme_sim\": eme_sim, \"eme_sim_sweep\": eme_sim_sweep}\n",
    "batch = web.Batch(simulations=sims, verbose=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "255f2377-aa68-474f-bcaf-0050adaca35f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "39fcf91a169947cc8c6e89229e745858",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:41:57 UTC </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span> tasks.                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:41:57 UTC\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m2\u001b[0m tasks.                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:42:14 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.050</span> for the whole batch.                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:42:14 UTC\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.050\u001b[0m for the whole batch.                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after    \n",
       "\u001b[2;36m             \u001b[0mcompletion.                                                        \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "af35ac8e17ae4c749a337dce1bb60d30",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:42:31 UTC </span>Batch complete.                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:42:31 UTC\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "batch_results = batch.run(path_dir=\"data\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0ba5c88a-845a-42fa-b9f1-42b04d9fe8b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "eme_sim_data = batch_results[\"eme_sim\"]\n",
    "eme_sim_data_sweep = batch_results[\"eme_sim_sweep\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c00ae8e9-3801-44e6-9b85-2179bc913047",
   "metadata": {},
   "source": [
    "### EME Simulation Results\n",
    "\n",
    "We can visualize the field data recorded by the field monitor. The field data is indexed by `eme_port_index` and `mode_index` in order to specify which port and which mode are excited."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0a312695-29aa-45e2-80d5-30a3a4578767",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Ro8mzzz5LXnrpJTJp0iTy4IMPKn3+/Oc/E0EQyGOPPUY++OADJYJfK05Qfu9GjRpF5s+fT2bMmEESEhJI9+7dA2Ip5TjBcO9vU1RWVpKUlBTSrVs38txzz5Hnn3+eDB06lJx11lkh83n66acJAHLvvfeSpUuXkn//+99Nji0zcOBAAoD069cvov6RsnDhQgKA/P73vyevv/46mTRpEgFA/va3vwX0k9+H4BjMCRMmKDGAr776Khk9ejTR6/Xkiy++COi3ZcsWYjKZAnaMmM3miGMd77zzTpKXlxcSnweAWCwWctlll5FFixaRRx55hCQnJxObzUZ69epFli5dSggJ/xuSrys4uiHc92HgwIFk4sSJEc25MxC1YOlDhw6RSZMmkYyMDGIymUiPHj3I1KlTQ4KltYQgITQkpm/fvsRgMJCsrCxyxx13BPzA9+/fT26++WbSs2dPYjabSWpqKrnwwgvJp59+qvRZt24dueqqq0hubi4xGo0kNzeXXHfddeTXX39tcu6RHud2u8lTTz1FBgwYQEwmE0lJSSHDhw8nc+bMCQm2ffPNN8nQoUOVfmPHjiVr165VXi8rKyPjxo0jSUlJEQVLL1++XBkvNTW1yWDpYCIRgoQQ8vXXX5NzzjmHWCwWkpubS+6//37y8ccfh8ynrq6O/PGPfyR2u73ZYGl/ZOH5xBNPRNS/Jbz22mukT58+xGg0kp49e5IXXnghRNiEE4KNjY3kr3/9K8nOziYmk4mMHDmSrFmzRvM8X331FRk9ejQxm80kIyODTJ06lTgcjojmuHXrViXY2R8AZPr06WTChAnEYrGQnJwc8vLLL5PFixeThIQEcuuttxJCoiMEf/nlFwIg4HfT2REI4XWHOWeGBQsW4N5778XBgwdDPJydhYsvvhi5ubl49913lTZBEDB79mw8+uijMT//tGnT8OWXX2LLli3cO8zgWWQ4ZwRCCN544w2MHTu20wpAAHjiiSewfPnyNkul9fe//x2PP/44F4B+nPEQGU7nor6+Hv/+97/x+eefY/v27fjoo4/aekptyqhRo8LGNcaatLS0FqX96ixwIciJKRUVFfjjH/8Iu92Ohx56CFdeeWVbT4nDCYDbBDkcTqeG2wQ5HE6nhgtBDofTqeE2QQ0kScKxY8eQlJTEvWgcANS7XVtbi9zc3CaTcXDiDy4ENTh27Fi7SYjAaV8cOXIE+fn5bT2NEMTUXoC7Dl7HMS6kWwgXghokJSUBoF/44IzDnZXmMiefLkOHDo3JuNHG4XCgS5cuynejPfHdd9+B1BwCRAOWL1+O6667rq2nFFdw77AGDocDNpsNNTU1XAgytmzZEpNxhw8fHpNxo017/U4QQqBLyoFgzYZgTIKv/Ac4HZWayV852nC9mcOJY/7zn/+AuGogZg6CkNoTEA1I6HFeW08rruBCkMOJU7xeL676wySI2UMh6AwQBBG63JGQyn9sUfLWzg4XghxOnGIqOB8AgZjWW2kTk/MgJKQjvQ/XBiOFC0EOJw6pra2FVLYNupwREITAn7EudySkyl1hs1hzAuFCkMOJQ+yF50Ew2SDYQjPyCJZUCPYC9BxWrHEkJxguBDmcOOPYsWOQKn6GmDsybDC/LmcYiONw2HT+HBUuBDmcOCN/0IUQkvMhJmqXfwUAwZgIMb0/zr7wtzGpU9KR4EKQw4kjfv75Z5CqfdDlNB9fKWYNAmmswqpVq87AzOIXLgQ5nDhi0OhLIab1gWBqPmBb0BkhZg/Bb38/MaRSI0eFC0EOJ0747LPPQOpOQMw+K+JjxLQ+AJFgLhgbw5nFN1wIcjhxgCRJuPiKCRCzBkPQmyM+ThB10OWOgK9sG0+tHwYuBDmcOOCDDz4AvC6IGf1afKxg6wbBaIWtkAdQa8GFIIfTznE6nZh405+gyxkGQWx54idBECDmjYR0YgfKyspiMMP4hgtBDqedk9jzPEBvgpDS87THEBOzICTlIW8gtw0Gw4Ugh9OOqa+vh1T2E3RNBEZHii53OKRT+7B///4oza5jwIUgh9OOqa2tBSQ3BGt2q8cSTDZAb0FpaWkUZtZx4JmlOZw4QBB1IYkSTm+g1g/R0eCaIIfD6dRwTbAJnI2NMBoMbTsJIrV+jDAaBGE2Jp9E95b62BZTL3vu9ql7Tk84GmmbROfT6KGvOVx0J4LT6ws4VvSzX5n19PzJJvp1SzTS55IEJJ+oVc6TYFCPsRgC52wUA1UYg05bpdFqFaNQMbCh0dnqMVpD1DRBTghcCHI4cUD0hCBfDwfDhWB7x/+L3wKtUPDvKz9W7klAH53E9pV63QAA0UO1PvjcyhCpThpfJkhU4xNcdPeB1EDviccVeH6DWuhHMLEdDjpaqY3o1Ypt3XES0LFp6RPUKesCCwURnTHw+RmuB93W5aejJQS5CAyF69ccDqdTwzVBDicOEHTcOxwruBCMJ7R+BEFLZEFrycyWsHJfgS1/BY+T3dPlr9hYAwDwlh0EAPgq1Hgy70G6HPbV0CpmFT/sAQCc2nMSANBQQcfw+eg5jAmqQ8nWhS5/0wd2AQDYzxpEp0Mk+MgJkAYHAMBQMECdc3qXwEtITAu8bIMl9DoBkAi3lZ3p5XRrEblNMGZwIcjhxAHcOxw7uBBsAiIIMdMYhFinPNfQCIUgB4jgpc4MwVUPAPCdotqe5/CvAICqXYeUY2tPUA2w/nglAOCHzw4CAHbWBjpEFE6qDw1HqaZ37pFaAEAfC3V6+FwenKqqRGMFHTvH51OOMZkCNT0hSPMLp/FpfVpEQ3gILTSHx/zz4rQZXAhyOHGAIOggiNGwCfLlcDBcCLYRp6NhamojspbDND9Z69G0DYZMItBGSJwNAAB3NQ17aWTaHwC4qqk2V3ecvravXg2faQ4Pm/fhU9Ru2IWNK7k9qAdQc4g+T+1bqRxj7O4IGEOweQKfS9rp4omoC22MwJYatl87QRDF6AhBTghcCHI4cYAgRkkT5ITAhWAcoaU9KtphkEYYqNUwLZHZ0QTRG/BcaTfTYGV9Ig1uNtnVoGa9k9r+DInU62s3UI2r3BV5AR8r2z6nN9ExvESCaNRDZ6RjCbomfuSt2D6opRVr2QmbPEc0ti9y2iVcCHI4cQBdDmss9Vs6Dg+RCYELwXZEcw5ILTNiiHYoyHvQQrfbyT1JUKEeIm+fS6U560wFfQEAaQb162Gz0mNkLXFYBbUf7jtIYwsPNVAboYslUJC1PgDomUi3vBUMSKevdaXn8TY6Ye+aDWNSIj1vtpozT0gMLCkpnUZa+Y4EXQ63XghyGRgKNzJwOJyIePLJJyEIAqZNm6a0OZ1OTJ06FWlpabBarbj66qtRXl7edpM8DbgQ5HDiAEGni8rtdPn+++/x6quvYvDgwQHt9957L/7zn/9gxYoV+OKLL3Ds2DH87ne/a+3lnlE69xrjDBDNGNuWjEX81j3yMkoOH1GcKTrqoPCx5bFkostS0WIDAJjzeytjmBK2AwAMLHTFWkC3tRWUnQAAuKpZwLWbhrLojOq2OZOdjmvOzqRj5BfS+bgakdyvF6y11QAAfW6BOv+k9MDrMUYWLB0pETtL2glRWw6fxnq4rq4O119/PV5//XU8/vjjSntNTQ3eeOMNLF26FBdddBEA4K233kK/fv3w7bff4pxzzonCfGNP+/3UORyOgiwEW3sDALfbDYfDEXBzucLs/AEwdepUjBs3DsXFxQHtW7ZsgcfjCWjv27cvunbtio0bN8bmjYgBXBOMImdyZ5XUzMlI2CcA812AEKZZsB+Hz8A0Qr2dvp6oHlibwpIspLKGrsMAAALrksAUDNlP458IWs7sLGugXjYhQfJB6jcEgo9qj96mNLHg18IFm7dCm4s37fB0ee+990IE2uzZs/Hoo4+G9F22bBm2bt2K77//PuS1srIyGI1G2O32gPasrKy4qm/c5p9waWkpJk6ciLS0NFgsFgwaNAibN29u8pj169dj2LBhMJlM6NWrF5YsWRLSZ+HChejevTvMZjNGjRqF7777LkZXwOHEHlHUReUGAZg4cSJqamoCbjNmzAg555EjR3DPPffg/fffh9ls1phVx6BNNcGqqiqMGTMGF154If73v/8hIyMDe/bsQUpKSthjDhw4gHHjxuH222/H+++/j3Xr1uHWW29FTk4OSkpKAADLly/H9OnTsXjxYowaNQrz589HSUkJdu/ejczMzDN1eVGnKe0v+BXJr4GQwBoick0RD1N83Cz9VQOrG1LJwl3kewAoraA2P6eX9t3Dnh85Se9rGgO3tVnN6lcrP4UGYXdPo/c9U6iNUK8TkOgAJEL72kyqzSvZFGj/sugD/69F4kOkRLSFEO1b64umTdBoNCI5ObnZnlu2bMGJEycwbNgwpc3n8+HLL7/Eyy+/jI8//hhutxvV1dUB2mB5eTmys1tfIvRM0aZC8KmnnkKXLl3w1ltvKW0FBQVNHAEsXrwYBQUFeO655wAA/fr1w4YNG/DCCy8oQvD555/HlClTcNNNNynHrFq1Cm+++SYefPDBGF0NhxM7oiUEW+IWufjii7F9+/aAtptuugl9+/bFAw88gC5dusBgMGDdunW4+uqrAQC7d+/G4cOHUVRU1Oq5ninaVAj++9//RklJCSZMmIAvvvgCeXl5+POf/4wpU6aEPWbjxo0h9oySkhIldsntdmPLli0B6r0oiiguLo4rY61Mi2x/8Lf3qa8Ea4BydTcnu29gKmGpgyZZ/aWCJknYdbxWGcNZWg0AOMH6/LyDeoVP7ac/EnedmmwBAASdf1JVGnyd17srAOCSYTkAAJ0goMpepWiRI/LtyjHd7YHLLyFoNWbWawsEMeQdCX2POJGRlJSEgQMHBrQlJiYiLS1Nab/lllswffp0pKamIjk5GXfddReKiorixjMMtLEQ3L9/PxYtWoTp06fjoYcewvfff4+7774bRqMRkydP1jymrKwMWVlZAW1ZWVlwOBxobGxEVVUVfD6fZp9du3ZpjulyuQK8Yw6HQ7Mfh9NWtGWITFO88MILEEURV199NVwuF0pKSvDKK69E9Ryxpk2FoCRJGDFiBJ544gkAwNChQ7Fjxw4sXrw4rBCMBfPmzcOcOXNaPY7mtrZWqiH+NXPDaYXbtm0NOZ/Pzwwma4c+9qKHaYAu1qnWTe1rpTVUy/uxlP4JnDDkKGN4TlDtsKaKeokrdlHnlc/doDkn4lNthNUHqbaoN1Gb4P581R5Vba1RtMvMJLXCXJY1sLqcWwqqQxzmvRA76Law9rJtbv369QHPzWYzFi5ciIULF7Zu4DakTS3BOTk56N+/f0Bbv379cPjw4bDHZGdnh2zLKS8vR3JyMiwWC9LT06HT6TT7hDPWzpgxI8BTduTIkdO8Ig4nNkQzTpATSJsKwTFjxmD37t0Bbb/++iu6desW9piioiKsW7cuoG3t2rWKIdZoNGL48OEBfSRJwrp168Iaa00mE5KTkwNuHA6nc9Cmy+F7770Xo0ePxhNPPIE//OEP+O677/Daa6/htddeU/rMmDEDpaWleOeddwAAt99+O15++WXcf//9uPnmm/HZZ5/hH//4B1atWqUcM336dEyePBkjRozA2Wefjfnz56O+vl7xFp9JWpJAurmls9bSWGC34EP9l4XBrynDNDM34hdnIy+hffK9N/wOg3B4XXTp7PKqa/VGtw91Tm/AOQDViaPMJegiwr1VmjkXtf7r4yw/oKBrnzbBjkCbCsGRI0fiww8/xIwZMzB37lwUFBRg/vz5uP7665U+x48fD1geFxQUYNWqVbj33nuxYMEC5Ofn4+9//7sSHgMA11xzDSoqKjBr1iyUlZVhyJAhWLNmTYizhMOJF9qLTbAj0ubb5q644gpcccUVYV/X2g1ywQUXYNu2bU2Oe+edd+LOO+9s1dwEQuhWryhnNQagXQ3O5wntx2oDA2p1OAAQPVSrInozjHUnAB1zJPhYgLPkF0ys7GWjYStyMgKJOSrsJvo1SLfQ13czJ8ieb39RhrAm0HETWF7B5JyeAABH6a/a1+dHYiY1b2QV5AIAemSwRA2igC5dbOjGgqi72tQ4mERD4A/eqAv89bb6t9zSwOh2HEjNaR1tLgQ5HE7zcMdG7OBCMBJaWo8imqf2O49/hTXBo2qFgtet2MhEJ9XiiF/oCvHS4wQ9/bhFI9W4BCPVyBJNVgCAxUxrilxUSNNY5fVWA2UbmMZnYBrZ1hQ6RsVJqhG62BY72XZntqjB0vZUqnkOyqcpuvpk0POJAtA7J1mxEXazq+myrMbA91wfFPuiCxML01HrA7fXOMGOABeCHE4cIIoChCgEQXIRGAoXgqdLhNphuE35Eadt8mvT/AJLEj0vswESZjckDXVqF2cjOwHtI+ipliaYqSaoS7LT5x7ar6+VamrXjlL3cX+7mW6LczEP7nndaZILt5c+D74a/yuRtTjZrmdiVeUEATgrKzGkHwAYgn7wIdvhOqjGxznzcCHI4cQBQpQ0Qa4KhsKFYDRpie1QU+vT0G506kfkn1KesAQFRKdX0uYHnlb1Divaoccd0EdwUc2PsHsxmXqifSfoNry6n9YofY066sFNSKceXl/1SQCA1MiSLLiD4gaN6hY40UJtjTp7Gj1fEr0XCIG9Olmxb0osrT+gpvpXrsGQEDh+GPtYc9p0vCIIAoSWBJ1yIoYLQQ4nDoiWTZATSvz/RXI4HE4r4JpgrAmzFNNatmn9zxOdXzYVo7q0Vh4JIuBfTN1Aw0zEhKTQsRppFmjiY6E2Eh1FXg5LdXROVZt/AACsW7VPOdY3kC5V7T1pEoqKn2iSiZP7qMPkpCsw03OKX4hLajd6bMagPABA2oizlHm4SSVIPc1aY+yllnMUs7oHjCcFrYaJMXC5rNABlr5aRM0myAmBC0EOJw6InhDkgjQYLgSbgAiC5ob8mJ3PLxuzjOBfX9fvdcVRQCRIJisEOYREnq/B3zHBsuKwEBjCQmaIm4XOSIHOG8dR6vT4okINuO62jfZtPEWdJ5t+qQQAnHR70RwJNdTxMaaWbb3LtNPTenyo9TrhPEk1wYxENXuPyZYWMAYxBWq2pJOFyIhRcoxw30ooHXPtwOFwOBHCNcEY0xKFRStztF92KbVOMAAJ9LFBL8CjN0EnL3OYTTBgux2zAQpeqsXJISlyEgaBJV0gbvq63hgaftIg1yVh2acj0QDVY+lc6k5RbdLtYMkfJAJ3bQPctcxWyWyT9AKDqsmdgW2KTWn9Z3JFoAW3CcYOLgQ5nDiAC8HYwYXgadJak5RPS+uTQts8fgqQ208tlOuDGEUBdS4JOrYlzSsnPfUbX2Rao06k2+GMLHjZYmWvu+kWO4ElXbAX5gMAhtkrlDFIJv2qmFkyhKzj9JhyV/MaoZXVDE5Kp3ZMo415dgmBOS0ZgkhfF/1sgtCbAsbwDxSnk22dQGhrzY7TfuBCkMOJA3iwdOzgQjACWqP1hasQp6H0Bdj/ZPy1v0a/tPR1rEKcWS+i0StBT+gPpN4tBbwOAF52Mvk3lMASliayWD6rgWpm1iSqISaPoDVjL7Wo8Ye7G9XkrgAwmml3p/aeovcNXnYN9FxpJvWrZetONbzMwV0AAJZu3QEAgiAiqXd3JDqpBmro2ls5xn8LHX0xsPBwiGYooxEn2BG0PkGMUghk/L8VUYcLQQ4nDuB7h2MHD5HhcDidGq4JNgEhZzZtnfYSWW30XxrX+m1Tc/mIcuypBlqn5JRTrVfiZMtoOcDYwPL52c2stkiCkY1Dl8lpBSMBADm/uVIZ4/jWLQAAkQVYJw89QefnoMthJUONnLPQqGaJlrfwiXaasZok0lyEEEToBgyEjoW/+MxqQHRw1pjgQHKtzDkdGZ5UNXZwIcjhxAE8RCZ2cCEYR/hrpbLDxSfRXW8SM2y42RY4p58TpZZphU4WbyPXCfGwMBtZw5QI1QiPse1tR6xq8gavRLW4ZCs9kS+BVpDzZmtnlvb/ucqF4uTzmphTxecjKDPlwMPUWLOoWmeMQTqL7PhRxtRSmxFYm7mltGeTmyDwvcOxgtsEORxOp4Zrgu0IrT96nZ96ovczg8lhLka9AINegJ51M7NOZr1qM3Trtf/rZE3Q5aV9q500zOXH0hoAwPZtO5S+eSaaMKFHJo2w/oX1KaukNkJXI9UefWxMk1m14SXbaXhL3xwaKnNWHr13ewlcx2rhYAHXPVJUO2C2nxYKAEmmwGsw67Q1Gq1LbY122F6IVgIFrgiGwoUghxMHcJtg7OBCsAkEgd5i4SHW1vpC24x+jYlEVXNEM23XiYBZLygJFNISqAbmX7ktmQUuy3ZCWVuTMTD1ST7kQCVNaLD/+1+UPjXZNHi59CQNbD7ySykA4NS+rWGvUSYhnW7DO9WvHz0fuyaXV8JJaxWOVtExL+ybqR5jCPT+WvSBb44URiB0rgRbnGjAhSCHEwdwTTB2cCEYAZGaYrQ0xpbYo7S2Ren82gx+3lMLM7kJAJL8tCYT05iSDGpfr58nGVC30clhh3LSBQlyHCFLxuCsV8Zw1lN7nShSG2DNkV0RX1dD5VEAQPUJml6/vJYmTG10eeE6WY/jLMXWyXq1Gl6DJzCVlo8EflU7m8bH4wRjBxeCHE4cwLfNxQ4eIsPhcDo1XBOMIq39o9b8MPwyKhvhl7uPbU+DIMICdYucQNhjwc/5Ic9LT88gZ2CRRLqmdrLlsIs5TuRQlgP9R6nn9h0HAOiYE8WQSLe4+dxqHZLm0Bno+eRlvWTQwWLUK2Na/DJaG4K8RMHvbWfTiXgWmdjBhSCHEwfwfIKxgwvBGCOEi6/RqJkhSKFZmgWfn5bnp3UJbua0EPUQG6sgWzZEJ63cRpx16qn8a3cAEE00uYHebGX3VPNLSLADAEbl0wQHhux05ZiaQ3S+tSyg2t04CABw8jDt23CSaoo+D807aExQs0Qn5dE8gVnd6PjdM6iTxeMj6JKXjMwkmkU6x6pmk04yBn41DUECQBdGIEQqJuLNvEY1wTibdJzAbYIcDqdTwzXBJhAICa/JtXpsjeppwRXWAMCjZnQWXLXq4zqawkowmCA6HSAC/Sh9lTSI2Vd9Qunrq6NaIWHb4wS2tU6XRAOgdSkZ9J4FNfdMzgYAXDKkQBnjm+9ZBulGqpn2zaE2wdKqXNreQMNbXCy0xeQXtpPONLwuKVQD7WGnmqCXSOjbNUUJh8n20wSTjYH/z6YgG2GYXXOaIUnxpvVpEjXvcEd4M6ILF4IcThwgigLEaMQJchkYAheCsaYF9XK1tEN/O6HgVe2DpJ7a/mBJBHE7IeiYx7eBaoueU1VKX+cp2uZz0nrDAvMSG5OohmiRbYYsDZdQfhAAkFSrbpvL81H7YbaNan79klnS1O60XU5ySmQXZlMKtPxDJMDgTDVpQkt+oOE1dI32KCjzsVoRRHx+7hiJGdwmyOFwOjVtqgk++uijmDNnTkBbnz59sGtX+C1ZK1aswCOPPIKDBw+isLAQTz31FC6//HLldUIIZs+ejddffx3V1dUYM2YMFi1ahMLCwphdh3ryyLW+FvXVQk4vL+rUxwDAYvAEvy12QpABjXipdull6a88ddTTLCTQ9Fi1e/YCALb+UKYcUzsoCwCQ3Je+j+4T9LVgLVNGZ1bte5Z0ans0ZFMt0pDTnc6DEJgO+UAa2flTc5RjgqvNEZM18HlQXWKlXSuYLioBdm2LLkrLYU4obf7tGDBgAI4fP67cNmzYELbvN998g+uuuw633HILtm3bhvHjx2P8+PHYsUPNe/f000/jxRdfxOLFi7Fp0yYkJiaipKQETqcz7LgcTntHJwpRuXExGkqb2wT1ej2ys7Mj6rtgwQJceumluO+++wAAjz32GNauXYuXX34ZixcvBiEE8+fPx8yZM3HVVVcBAN555x1kZWVh5cqVuPbaa6M38Qg1OU0vcLghtTQWv/q6xKBqP2KSnbbpjIDBAsI0P52NxfZ5VVuizkwTlPqcVPOTmJdYlL3E7HVZi6w7WgEA2LZN1QQzG6j90FVNbZGlm2hShIMnqBZXwQo/yUkY7H4ZYHvaWRzgMPo5554/lM7d64HTXQbnSaqBWgcOUY7Rd+sX8DZIQe+N5nsFQAgqyASEMQl2AO2QEx3a/JuwZ88e5ObmokePHrj++utx+PDhsH03btyI4uLigLaSkhJs3LgRAHDgwAGUlZUF9LHZbBg1apTSh8OJR6KlCXJVMJQ21QRHjRqFJUuWoE+fPjh+/DjmzJmD8847Dzt27EBSUlJI/7KyMmRlZQW0ZWVloaysTHldbgvXRwuXywWXS7VpORyO074mDicWcJtg7GhTIXjZZZcpjwcPHoxRo0ahW7du+Mc//oFbbrnljM1j3rx5IQ6aAFrhxAi7bNNs1Fi46dVaGxL8/hjYMpnoDCCWZHV5l0qXoYakVHUObLsdcbN8fV56T1hwtiA7VliMis5Il5T1fhmoG1gtEZ2BBk3vOEYdIuWu0K1+AFDnV+3uaBkN7bngRxrAbetZTqfR6EaV24v64ycBAOY01RmiTw8ykQQ5SsKZGYhWu9ZnEGm/dkK0hCAXo6G0q0/dbrejd+/e2Lt3r+br2dnZKC8vD2grLy9XbIryfVN9tJgxYwZqamqU25EjR1pzGRwOJ45oc8eIP3V1ddi3bx9uuOEGzdeLioqwbt06TJs2TWlbu3YtioqKAAAFBQXIzs7GunXrMGTIEAB0abtp0ybccccdYc9rMplgMmmEXBCp9aEsLUHUhTQR0aI+MaiPfUwzIqIevoRSEDnSOCEl7PCy9iT4qPYmSCz4Wt6a56Maor2Qbp87J0P9M6nMoRqpqD99XcLDki/4XB52Og+8Tjc89dQUITtuAIB4PAHHBmt+mhpfGLS0xnAaentFH7XlMNcFg2lTIfjXv/4Vv/3tb9GtWzccO3YMs2fPhk6nw3XXXQcAmDRpEvLy8jBv3jwAwD333IOxY8fiueeew7hx47Bs2TJs3rwZr732GgCafXfatGl4/PHHUVhYiIKCAjzyyCPIzc3F+PHj2+oyOZxWE7XlMJeBIbSpEDx69Ciuu+46nDx5EhkZGTj33HPx7bffIiODbug/fPgwRL+g39GjR2Pp0qWYOXMmHnroIRQWFmLlypUYOHCg0uf+++9HfX09brvtNlRXV+Pcc8/FmjVrYDabz/j1NUWkQb1ePzOh26c+cbHHgiCh1kuUAicNHingdQBwspAYifUxMo3TxOyNCQb63lgt9PyJw88FAAxItytj/HiEaoWuGhoSM/A4S+XVjG0QAAoS6HnsXWl6LXMqvfc2upCQYQdhtkd9spp+SzAFfl7BITLt2X4XC7hjJHa0qRBctmxZk6+vX78+pG3ChAmYMGFC2GMEQcDcuXMxd+7c1k6Pw+F0AtqVTbDdIec0j4VdUEOTkTTsNW5/D61HfVzHHgsCUOf2KRHBx2upXe1Eg2pfq2HprxrcVCOUU9fbWMm6NAvV1PJtVPtKS+sDAEgu/j9ljOSv1tI5lh0AACRkUttj7j6auqvuOA0r8jjpufR+qfITMhLp+XrQbXOWnjTJquRqRHJhd1i7Ue+woWtv9cITA22bwdvkwtr0NNrjzf6nhU4UA1ZFnOjBhSCHEwfwEJnYwYVgJMRAkyAaFmpJCo0T9PnbBP1er3dTTVAnAi4vkbNg4RTTxEqr1JT6pVU0TlBOjS+TZKYff15KAhufDvLrSXqe3cYapW+GnoYY5ffrAgCw9BwOAEhw0bEFD7tnHuaAIszsWomeapqEebl1kgf6gQMhMO+05JckwWf084r7Haug4UnvyETNJsilYAhcv+ZwOJ0arglyOHEA9w7HDi4E2xFa2U5ImIzGcriLLmh9I/f3+DlU5NAaF3OMSGzZ62HtJgMNVk5OoI6SHw9XAwBKv1WdK4Py6fL6/F5pAJgzBoDHJ3+FaHiLQUcXFwl+NUaSTfRxEstoncjqDOtEARUJ+UrsmtHvR24MrikSJADaOtPzmUYnCJr1U1oKT6YVCl8OczicTg3XBNsRWv/R/hqQ3u+xrGnpRFqJTWJ/Z0km+pFm21VHgo85VBLZa04PdZDomGZh0gc6GU6coLkDD2z6Qh1j0FkAVA1zfykNialjDhgXC8PRMS3PnKgmfrClUcfLoK52AMDQfLrlT4QAlNcr1eZ6pqr1RlLNgXOyBlWfM+rCJKbQeBM7gtbIl8OxgwtBDicO4CEysYMLwXaEls3HGKAQqdqPTgjUCmVbYJdkqgEmG9WPVq7n28jseE6W5kquciyfwsJOplXftr6aaof7S6mGd+yXfQAAR+mvzV0WkvNoELSroQcAwM60REkiaCxz4FSdO+QYIwuwVp6H2Ai1tbtgGymAiDfMtmeNMWoJFLgUDIHbBDkcTqeGa4JNQARBM6g5GmhpHVpn8v/zN/ilsUpkj4kgINkkKq7lJBP9X8tMVD9aOb+pl53Ty7zCHkn2JNN72Z/cndnsSrO6K2OYrTR4WU524G5QA6mbo+7EIQBAfU4eAKC6nmp+bq8EXbUTZTXUrtg3W00a6/QGblX0SIE2QlMYpU3Q8LHrIvwMm/qsY/U9iJS2sAnOmzcP//rXv7Br1y5YLBaMHj0aTz31FPr06aP0cTqd+Mtf/oJly5bB5XKhpKQEr7zySkh29/YM1wQ5nDigLarNffHFF5g6dSq+/fZbrF27Fh6PB5dccgnq6+uVPvfeey/+85//YMWKFfjiiy9w7Ngx/O53v4v+GxBDuCbYntBI1CD41OSi8tY0ABDcbFucqIO+/qR6gIe2ix6/OsDyVja21YyINB6QGNk2NjON8fMZqB3uN31pKjN3Snf1fBXUBihraNV5tP6wp57VHXarcwvGkkK33JlYHKJsexQFAQlGHSzMfulvE20uJi5c/KSW/U+ra7zl1WsLTXDNmjUBz5csWYLMzExs2bIF559/PmpqavDGG29g6dKluOiiiwAAb731Fvr164dvv/0W55xzzhmd7+nCNUEOhxMRNTXUBJKaSuvXbNmyBR6PJ6C6Y9++fdG1a9e4qu7INUEOJw4Q5ZKZrUQQALfbHVJRMWyJCYYkSZg2bRrGjBmjJDEuKyuD0WiE3W4P6Ntcdcf2BheC7QhBCs3OLHidymPRWas+bqhiD/QQG6qVdl8FLRLlPql+Cd2sYLrECrKLbPuaMZlmbdFl0Dx/hsxuAIAR2fT+svMGK2N8tYnO40gNvU8y06XtwUw6Rh1r97LAZ73ftjlrCnWq9Mijy+6uLGuNy+tD90wrUq00ZCbTL8DapA8OiQl4qhnG05HRRUkIAgLee++9kPrds2fPxqOPPhr2qKlTp2LHjh3YsGFDFObQvuBCkMOJA6InBIGJEydiwYIFAW1NaYF33nkn/vvf/+LLL79Efn6+0p6dnQ23243q6uoAbbC56o7tDS4E2zs+VTuU8+4BgFRbTdsMBhBnHQhLiuCrOAYAqNlfqvRtKKOOE3d9YAU3E8skndSlAgBg7Uk1TeEoDYDu2rhH6TvAaAcA5HWhTpOBTAM8OZB+2R0sV6GL1TPxQcXMttLZzXIma/q18xKgf24ynCxLdrLfVjmrITAkxhAkAPgOstPHaDQi2a+eSzgIIbjrrrvw4YcfYv369SgoKAh4ffjw4TAYDFi3bh2uvvpqAMDu3btx+PBhpQJkPMCFIIcTB+iEKNkEW9B36tSpWLp0KT766CMkJSUpdj6bzQaLxQKbzYZbbrkF06dPR2pqKpKTk3HXXXehqKgobjzDABeCTUKIdnhFS2i16cq/roT/Y4nqWsQnUi1Q1gTdNBzGU69mlnaxuiONJ2mbkm4rSDPUmalNrvYg/bJ/vfh/ymukhG59SznnAnrP2rvKF8iOJfrAe/qYLbXYt42I8r0ehXajUltFisK2tWikm2qPRG053IIhFi1aBAC44IILAtrfeust3HjjjQCAF154AaIo4uqrrw4Ilo4nuBDkcDiahI3F9MNsNmPhwoVYuHDhGZhRbOBCMMaE/R5paSxi6Mch6Pw1KjU9lmhLYx1EiAlWEC9LZZVEt7xZ0m1KX2+jX+A0AK+LeXBNgXY3yU3teuXbqSa4ZpfqjR4uUXtkAds2V3eU2hFdNTRI2sfsejo2pjlFrRdizUunc8qn9UkMXXrRF3RGGI+blCBxX2Kaeq0Wdf4AIBmCao50whoj0XKMcALhQpDDiQOiJQS5GA2FC8E2QlND1NBu/OvtSglqLV7ipzVKljJla5whj6arSjKrCUoTsmiEv6uaanayZkhY4gSdiXptTSk0gYHP5e/bpZQeocdatx+kz7dSbXE/sytWs/hA2YubZVLn1z2TbsfLG3UCAJChXK8It6kRxE21TGMvNS5RSg08vxBc8U+vHdLRUTVEnSBEnAiC0zL4tjkOh9Op4ZoghxMHiFEqtMQJhQvBJhAEeotFwmGtcBDN8wh+H5HB/zFdYupFAV7rcYhsy53AlsxiWlelq8i23hnZslPONEMaaUok4gl0nNi7b6cPDqiZYViaQrgddNl9pIE5UVyBW/1cLEdhnVfNFi2V0/vE/acAACl91aw3nhMGuB10Hro0dZeBLkl1kgAAkZIQ2GCAJiR0cdPWuQCjgU6gt9bSAd6KqMOFIIcTB4hRS6XFpWAwXAhGgNa/Z6TaYbgAYK1WuSqcP3LNYABw+j1uZHn9jKKAk41eGFggtctnYGP5fbQiS5SQICjHAEBCJj3GJFCnhuCidUTyx+4FAIw/pG7Tq8yloTqmZJbsgG1xO+akjpHQTIgqJnY+Ud/MD1CStB8DmrkWOZxowIUghxMHcO9w7OBC8DRpjXYYDp/G8f7aX41f6Eo5q9BmNepwqtGr1OE9zFJaVdardr6axkC7XQLL7JzGUlflsmp02VZqd8s4ZxwAYOTws5Rjtu6kyRQ8LLGmxLRW+y5q33NU0/N62HST/RIg2LrTzfqpvanNT5/O6k9IEgyZudAnU5ugmKzGxRCDGhgOAAgOkelkRMsxwsVoKFwIcjhxQLQcI5xQuBCMIpo74cL89/o01EYNkyC8fo31blUTPF5LNT2bWY9TjR7omd1tXyXVqnYdVzMHVzMtzcfsiDqW2sqaRDXBvjlUUxuQTe8dyXTLWuY5F6nXYd8GAEg4RZO2diugNUbyWfJWj0OuNUJthHLiVkBN3iqmMk2QJW0FJBgL+yneaWJVNUHJGFh3mPhtHwQA0gLNUKuyX0fwGHOiAxeCHE4cED3vMCcYLgTjCH9Ps/zY45PglYjiTK1poJpYrUON06uronGBrkampbEfk7Oe2gJ3MLujiWmIW45UAwDeO7RdGeN8O40ZHJxJ4w91NqrNGXrTsfTMBGhgGpbg580Vgjy7HqbFCUSCJ7uf6vn10+5CNL0o2wTjTTuMmk2w/V5im9G5rc0cDqfTwzVBDicO4I6R2MGFYBMIhGgum1o2iPY3V6fhMDGIoecy+tmBrEb140pmWVoSDDok6HWQWPh1kpm2G/zqdRhZm8SWvXJ4i7wK9TKHyymWEWbnfhr2Urp/pzLGiUG0wE7DEFqZrrKOOjPqWG0ROdDbzEJjrGZ1rnIojlxNLiORBnSLEHC4HkpmaatBXZhYggKrjUHJYVqSVirSz7Cpfq3+HrQSvnc4drSb5fCTTz4JQRAwbdq0JvutWLECffv2hdlsxqBBg7B69eqA1wkhmDVrFnJycmCxWFBcXIw9e/aEGY3DiQ/kfIKtvXExGkq70AS///57vPrqqxg8eHCT/b755htcd911mDdvHq644gosXboU48ePx9atW5WC0E8//TRefPFFvP322ygoKMAjjzyCkpIS7Ny5E2azucnxY0FYDULjX12vod1Y/LQjm99QPVMTlGGqrUYlULtnBg0t8fckliZTB0glqzXiYxXhRBZgbWeamaxFNjKNsJ7VMAaA8sM0zGUjC6s5epSG4NScpA4Tr5NuuRP1dCxLkppZ2pZG59Svmx0AMKq7mhfRcLJBqVBXmKaGxaSaA1U/McgxEk4r4soSp6W0uSZYV1eH66+/Hq+//jpSUlKa7LtgwQJceumluO+++9CvXz889thjGDZsGF5++WUAVAucP38+Zs6ciauuugqDBw/GO++8g2PHjmHlypVn4Go4nNggL4dbe+OE0uaa4NSpUzFu3DgUFxfj8ccfb7Lvxo0bMX369IC2kpISRcAdOHAAZWVlKC4uVl632WwYNWoUNm7ciGuvvVZzXJfLBZdL3WbmcDg0+wXQyg39goaCqPVh6PXq/5RJp2pHSUbaTgCcsOjhZapgfz3VpnqkqJmlHSzdVXBtYDntlWxwNzDN8DtrYGAyAHg99NiKkzTw+mQpzRJdc2QXAEAKSselt6iaoLPrAHoeAz1RQYaq8VkcTtSz2iYpFjU9VkLQtjlL0PsVLjFFR91fyx0jsaNNheCyZcuwdetWfP/99xH1LysrQ1ZWVkBbVlaWUg9Vvm+qjxbz5s3DnDlzWjJ1DueMEj1NjkvSYNpMCB45cgT33HMP1q5d2ya2On9mzJgRoGE6HA506dKFanut1vjCHK/VLoXW9hB8atCzyaOmtjL7qN2O6E2wuqtBdPSjtMlpsfSqpkSYBgY7tQ1KeqqludkUGr20r4tVkhvam1aHq3KMUcZISqAB13qmgcq2v3D43Kpm6GPzlr3TXhbZrRMESITAzbbzaW0b5HBiTZsJwS1btuDEiRMYNmyY0ubz+fDll1/i5Zdfhsvlgk4XaBzPzs5GeXl5QFt5eTmys7OV1+W2nJycgD5DhgwJOxeTyQSTSbtwD4fTHohatTmuCIbQZkLw4osvxvbt2wPabrrpJvTt2xcPPPBAiAAEgKKiIqxbty4gjGbt2rUoKioCABQUFCA7Oxvr1q1ThJ7D4cCmTZtwxx13xOxaZDS1vnCaoJbW53WGtIlOtfav2FClPPaWH6ZtVjtQcRA6C7WzecsOAQB8NWoKe58zcFydlWqCZnsmACAxnf5h+JKoGWFcf3qf13ugckzlgV8AAC5WVc7F7IuifgR9XkPrEEuEvm6yqk4uW4YdAJCTTu2UdjOLExQEpCUYkSDHFvoFAxqCfvDBv92w3uE2jueLFaJAb5zo02ZCMCkpSQlrkUlMTERaWprSPmnSJOTl5WHevHkAgHvuuQdjx47Fc889h3HjxmHZsmXYvHkzXnvtNQBQ4gwff/xxFBYWKiEyubm5GD9+/Bm9Pg4nmog8qWrMaHPvcFMcPnwYoqh6R0ePHo2lS5di5syZeOihh1BYWIiVK1cGCNP7778f9fX1uO2221BdXY1zzz0Xa9asaXO7I4fDaZ8IhHTQ9UMrcDgcsNlsKD9+DMnJyREf15LlsMAcGwFt7oaQNrH+lPLYd3yf8ti9/2cAgD4lA1v3HIZgokK+difd6laz75jSt+4EzTEosbTPxkT632dleQTthV0AAJbe/ek8cvsAAAacd4kyxmcbqQe/rI7O+0AVnethFixd1UAdOB7mXEnw2+KXY6Nz62K3AAAKWKC3KAjoP3gIXMwxkpagHpMUtE/OHLSNTiuwHIjdctjhcCArOxs1NTUt+k60lrKyMuTk5OCz3WXQ61uvs/zh/KH4xwfv47zzzovC7DoG7VoT5HA4FJ1Ib5zow4Vge0JDa/QPkSH1ahC38ySt9WERRUh11RC8VMuqP1YJADi1V3WiVDJNsI6FwsjV3zKO0a1ublaPJIu1648dAABIx7YoY+Sk9AAApGfQjNK9U6l25yqgDhAvC3/RUsRkpU3Hon3lnIOiAHRNNkBgz/2DgYM9oSEanoZjKSydvD4Jp2m4EORw4gC+7S12cCHYFIJIbxEGTGvVvQgXLK3ZV6ONiH4fkV7dzqYz0DATQW+EoDcAgo5NOXQMuWCdh0Ujy/VNXCyhgvMUDaFprKTaZf0xanus312nDnJJTwCA/WwajmRqpLZAozdwu5x8DYJRjbsULLSKnWiltjTJzGxqRILVcUTRdiWjutWOGC2B74M+yLElhoZQAWFqj2h9BnGmHUar5CaXo6FwIcjhxAFcE4wdXAhGQqTaRaTHApoZFOStbwFtfhqRPj1beWzuUg2ABkuLp9wQmOcwqRsNdPY2qhqaniUmSHcEam0mlmLLzOx7OhPtV1tGNcDvD1YrfftvOcjGosc4DhwHANSxqnbueho8LV+uPDbg54XuRb3Q5l7UC00kHySbauvU5/dSrzs5M2CuUqBiCGIIamBoiYmWVKbjdD64EORw4gDuHY4dXAieLhFqF+Gi1jSVS0NCSJu/vumfWNTE7GxEZ4Su1i8FP0tsYPbbO51RUw0A8NSyeEE5qSorEWdIpFqV3k7rDZt/UZOpyjhZ7eLaQ3Tv9vGtVBM8UkFtgxUsXZdMql+cX9dUen6vk8YYZrPzwOuF1wp4WOoyi0VNsaUzJwVOIKgOMfThktVqN8c7Uas2F4W5dDS4EORw4gBB4E6NWMEVbA6H06nhmmCsCbNs1jLWE51Gjj6/DMuSxa/8gPyQSPCmqqEsgj0PACB2V4OJTRJdhpp9bMkq37N2ZQsfy/OXWUazRl+wp14ZoyoncKnuZYXcq1iluipPYPCyxy+4OaWWOmRSa+iSmjhpbkLJ64OvsQGeevrc7PLLdnOaeRw1nSAdwDEiQoAYlcUsVyeD4UKQw4kD+HI4dnAh2AREEEBa+c0Lt59fq0aGTyO1spxcAADqPerjBpYMQa8Djjf4lEBah4v2qXaqjgon2y4nso/byJwndha0nMwquyUzZ0byub8BAPTqka+M8eNR6hCRQ29SelTTPm6at9DqpNqWHJCd7FclL4XlEUxIp8HQAqs/oiM+6JNtSj8x0S8xQXDm6uAg8DMkEeTPv7Xfg9bC8wnGjvhfJ3A4HE4r4JpgFNHS+sJVRfNpNPtrfTIOt9p2ol5NprDvFLWj2cx6HKp2KqmldpbRTNS7ytSM1DUsSNrLxpcr2KWnUHtjXxbM3C+ThqV0s9FkCYNvGK+MYfnyY3qNx/cDALqwoGlbD6ohdqmkYS4+F7UNGizqVysh0w4ASO5J7ZX6TKZhSj7o83pCl0bDbHTpucoxPr8tdIDGtrmwQegRhi7F2doyasvh+LrsMwIXghxOHBAtxwiXgaFwIXiatDZ3p1YuW23tUG0sr1M1wd3lVNPLtptRVueCidnMth+lSRCOHapW+taeoOVGPY3Uiyyy5AaVTPOqrKJeWQ/TFI/U0EQNhxPUdFyZBlZ3pFcaAMCSR1NqJbromMRJtTniYXP008gEM9viZqS2QWLy0/K6DlKSTHj9tggGB46HeM7Det35z5zTMrgQ5HDiAO4djh1cCEZApFqflv0v3KFaNXa12nx+Y8p1gQGglnl/rU4vGt0+gGXZamRb05wNarIEl4N6cF111QAAMUirMlmY5neKanM/HqH9GnbtVPqM6Ua1xQt6UE2QCLQ2Mcz0XmAmOzkxqn9SVL2cNJW1GVknQoBqS5Zyjf4V5oLT5wfrfbpwC7sIP6t4EyjcOxw7uBDkcOIAAdyeFyt4iAyHw+nUcE2wCQhpvQMkHFpLG602/2Wh1a+CWybL15eSYITDbICZhb3Yk1jVObvqWJDcNI+fngUjiywLtTGZLm2NLJzFwHI11bKMMccOblbG+M5Ds9LYE+jS+egpucocXX7Xsywycronq1ldcmcl0bnK1ea6sbl5iQRrlRMNbMtdVqKagzDJFPj/nGgIfG7UTiytqS1pZV/R+lzb8xKZJ1XV5sknn8Ttt98Ou91+2mO0SAhKkoQvvvgCX331FQ4dOoSGhgZkZGRg6NChKC4uRpcuXU57IhwOJzzRcox0JDFaW1uLmTNnYuzYsSgqKjrtcSISgo2NjXjuueewaNEinDp1CkOGDEFubi4sFgv27t2LlStXYsqUKbjkkkswa9YsnHPOOac9oY5GuC+doPGN1mlkm7b41dvNsaqakieLBjbbzHoQm1lxPozqkQoASE1U65Ecz6F9nUE5/8wm+vFnsrrA3dNpzr4jFXUIxsU0vr3l9LXdzHlSU0mTLDjr6gP6G8yqJmpLoxpgz652ep1MXXT7JOhONuBUI6sx4pdMWq9TrxVQnSkyujBvbLh6xPGOiM5tu3K73Vi9ejVKS0vh8/ngcrmwatUq5OXlYcqUKfjjH/8Iq9UKnU6HnJwcXH755TCbzc0PjAiFYO/evVFUVITXX38dv/nNb2AwhGY7OXToEJYuXYprr70WDz/8MKZMmdKyq+RwOJwwTJo0Cf/85z+RnZ0Ng8EAg8GA3r174/PPP8fcuXPxzjvvwOVywefzoby8HIMGDcLmzZubHxgRCsFPPvkE/fr1a7JPt27dMGPGDPz1r3/F4cOHIzp5R0PLZhNu25yWwhKs7QCAIOj8Xld1gVQLywotCnAmmxTNMj2R/kENyVGTEcjb8bySfM/mIM+FPTCyCm51LPzGY1ATKFjFMjYWtd811tEQnPpKWue4sZq+LnnpsYYE/8zQBQCAY8w2WCOH8XglWOtdKGM2yJwk9Z87y2qEP76gHYVSGLUoRibcNkcQBM3VQ2fhk08+wf/+9z/85je/CXltyZIlAc/37duH3r1749SpU0hNTW127Ig07OYEoD8GgwE9e/aMuD+Hw2keOU6wtbd4JSUlBUOGDImob8+ePdGnTx80NDRE1P+0vMNOpxM//fQTTpw4AUkK/Iu+8sorT2fIdolsjG6Nh7glHj29PrSvWVKTlQqCR30MNQFpqtCgTFLw0cQKgkd9XZCTqLKKJUSgHzsxMLsbq9wmse1spkIaAD1wqOroKv2VzsPBbIOHk6nW1min/7ReLz2f5HaxIdWtcXoD1TD1TNNVgqcFGkAtB1GHs/NpEc8/aE7L2bdvX4v679y5s/lOjBYLwTVr1mDSpEmoZMsgfwRBgM/n0ziKw+G0Br5tLna0WAjeddddmDBhAmbNmoWsrKxYzKndEYsvn6ChXgped2ibU02Jpas/qTwmp2i1N8Fkhlh5UEmN7zm0GwBQf/S40rexgiZC8DIvrFxlzpRC7YbW/Az6vHsfAEDXzG4AgCuHDFPGWOuk+fz3V1NNU072sIvZ7qozqebnleMF9aqlJSE5MGVXSgK1Wyb69MhJMsPM5pNiUR1u5qD6ksHlJsPZxyL9qOJNoETLOxxnl63JkiVLcOONN4a0e71ePPLII5g3b16Lxmvx+1peXo7p06d3GgHI4bQHZMdIa28dQQrefffdmDBhAqqq1CxHu3fvxqhRo/DBBx+0eLwWC8Hf//73WL9+fYtPxOFwONFg27ZtOHr0KAYNGoS1a9di4cKFGDZsGPr27Ysff/yxxeO1eDn88ssvY8KECfjqq68waNCgkJjBu+++u8WT6MhoLXsBQJC8oW1eV0ib6FKXw/ISGADce3+ix1gS4Sk9DIHl16v8YRcAoGxbqdK3sowGOFexLNWyUyHbTD/+jD7UuZEzivbTW3YAABr8ts1l5Q4AAJjSabiLHLg9NI/WCKlmYS+N7lCbsIXtcbOzrXQZbDnsI0Df9ERl21yKfzbq4G1ywVllwmg0HXVrWbx7d6NJz5498fXXX2PatGm49NJLodPp8Pbbb+O66647rfFaLAQ/+OADfPLJJzCbzVi/fn2AbUYQBC4EOZwYwLPIBLJq1SosW7YMRUVF+PXXX/HGG29g7NixyM3Nbf7gIFosBB9++GHMmTMHDz74IMTgCmCdHE2tL1z9XK12Te1QdZb4WD5AAGgsrwAAmFKckOpqlD+j+jKaWVrW/gBgVy0doyEo4vgU09oG/kptKwmZVNNsrKTxVfUHtyh9zddRzdI29goAQLKeOkS6sEQOSKX3kp7eEz9Li8RCmOV3R/4xSwToZjMqVfb8cxAGaz3BAiCcxtdBFUGuCfrxpz/9CW+//Tb+9re/Yfr06SgvL8fNN9+MQYMGYdGiRfjDH/7QovFaLATdbjeuueYaLgA5HE6b8PXXX2PTpk0466yzAADZ2dlYvXo1Fi5ciJtvvjn2QnDy5MlYvnw5HnrooZYeGncIhIS16bUJfrV49azam2g0QzQYlZobcpU3/7RbSXqqYTqDNEHZziawe8K2xNUcpZXjNpY2Kn3HbN4LALDk/UD7NlBbpc8dGNajM7LtbpZEpc2QRMNrRDsNwiaJ9DkEEYmOo4oGTIzqMZIpsNocgrJhywHfIcTo42rr70Fn3zbnz5YtW2AymULap06diuLi4haP12Ih6PP58PTTT+Pjjz/G4MGDQxwjzz//fIsnweFwmiZay+F4FqMnTpxAZmampgAEaJxgTU1Ni8dtsRDcvn07hg4dCgDYsWNHi0/oz6JFi7Bo0SIcPHgQADBgwADMmjULl112WdhjVqxYgUceeQQHDx5EYWEhnnrqKVx++eXK64QQzJ49G6+//jqqq6sxZswYLFq0CIWFha2a6xlBDP04iEFNKqCzpSmPTXld6SGJydDVeBVNMLV/t5AxEg9Tzc5ZQ73PhNngjElUa0vOp8kOrPk0l1XVgWoAgI+ommDjKbotruHQIQBAzQFqP2w4QW2PnkaqzQls75vZrs7bmku9z7Ye1Ght6kk9zZB8IEd1SqU6fW4Pv0mr1woAxGILvKhwiqBWFboIaxG3Z9rSMbJw4UI888wzKCsrw1lnnYWXXnoJZ5999hmfR05ODo4fP47MTPo9HTRoEFavXq3kMT158iSKiopavGutxULw888/b+khYcnPz8eTTz6JwsJCEELw9ttv46qrrsK2bdswYMCAkP7ffPMNrrvuOsybNw9XXHEFli5divHjx2Pr1q0YOHAgAODpp5/Giy++iLfffhsFBQV45JFHUFJSgp07d0acX4zD4VCWL1+O6dOnY/HixRg1ahTmz5+PkpIS7N69WxFGZ4rgMrUHDx6Ex+Npsk8kCOR0jtLg0KFDeOaZZ/Dyyy+3apzU1FQ888wzuOWWW0Jeu+aaa1BfX4///ve/Sts555yDIUOGYPHixSCEIDc3F3/5y1/w17/+FQBQU1ODrKwsLFmyBNdee21Ec3A4HLDZbCgvK0NycnLzB8iE8wRrIGh6h0P/wQSPmglDdKmJS5XtdHoDtvy0U6m3K9TSrXW+anWLnVTPlgiuRnYaprXJx7BkB2Ii1bYqv/kWANDwv/3qGGfZAQApvag2V/ET1Qir9lcDAKqZJihXzLP75b+3dafvYebAPDrGsMEAAOLzYlivrpBqqXfa2Guweq3ZBQHvgy9YMwyqS6weGJp3PxraocPhQFZ2Nmpqalr2nWglZWVlyMnJQY2jFnp966th9OvbB++99x7OO++8iPqPGjUKI0eOVH7XkiShS5cuuOuuu/Dggw+2ej4tQRRFlJWVKcI3KSkJP/74I3r0oCuI8vJy5Obmxl4TvPDCCzUNtMePH8fx48dPWwj6fD6sWLEC9fX1YVNlb9y4EdOnTw9oKykpwcqVKwEABw4cQFlZWYBx1GazYdSoUdi4cWPEQpDDaW+0RQIFt9uNLVu2YMaMGUqbKIooLi7Gxo0bz+xkYkiLhWBwTi+fz4f9+/dj7969IckNI2H79u0oKiqC0+mE1WrFhx9+iP79+2v2LSsrC9mznJWVhbKyMuV1uS1cHy1cLhdcLnW3hsPhaPF1cDjxgtvtDvmOm0ymEIdDZWUlfD6f5u9p165dMZ9nMIIgoLa2FmazGYQQCIKAuro65VpO93fbYiH4wgsvaLb//e9/x8svv4zrr7++ReP16dMHP/zwA2pqavDPf/4TkydPxhdffBFWEMaCefPmYc6cOWfsfECYJVpwqhQARJ+iPPYlqFlyZSOGRAhcdocSGSIl0SWnlOM3RvBplALp9F5kPeRte5mJ1FHSfcBe5ZhfaqgDRHGqsOwxOrb1Tidno2av+xeK9znp8sTrovYbIuc3dLtAXI3wNlCni8HplwTTG2jrUXMismvShzM9hClDF4yWOaIdO1CiGa713nvvhYSSzJ49G48++mhUxo8VhBD07t074LnspJWfn04YUdRKbl588cW46667Wnyc0WhEr169AADDhw/H999/jwULFuDVV18N6ZudnY3y8vKAtvLycmRnZyuvy205OTkBfZrKSjtjxoyAZbbD4eCV8zjtCyK1yObcFBMnTsSCBQsC2rTCTtLT06HT6Zr8zZ1JoumU9SdqQvCzzz7DhRde2OpxJEkKWJr6U1RUhHXr1mHatGlK29q1axUbYkFBAbKzs7Fu3TpF6DkcDmzatAl33HFH2HNqLQWaJdIvZAu0C6/GH73Lr7HOLzlBjYs+1gkCjtd5FW3vCKvXUVanZpY+4aDvp9ND5yxvT0th9UjyWL4/uS5wVv5wAID9qsnKGAlffgwA8B3dAwBIZ7VE9CwHoPU41RTd9TR4WufnGEnMokHQlnTqeBFZJToiiBAtidC76VwFo5/3PsjBoak5dyIEImk7004Do9EYkXPHaDRi+PDhWLduHcaPHw+A/j7XrVuHO++8MypzaQljx46NybgtFoK/+93vQtrKy8uxadMmXHjhhQGv/+tf/2pyrBkzZuCyyy5D165dUVtbi6VLl2L9+vX4+GP6g5s0aRLy8vKUJIn33HMPxo4di+eeew7jxo3DsmXLsHnzZrz22msAqM1g2rRpePzxx1FYWKiEyOTm5iofIofDiZzp06dj8uTJGDFiBM4++2zMnz8f9fX1uOmmm9p6alGjxULQZrNptvmv1SPlxIkTmDRpEo4fPw6bzYbBgwfj448/VipKHT58OGCP8ujRo7F06VLMnDkTDz30EAoLC7Fy5UolRhAA7r//ftTX1+O2225DdXU1zj33XKxZs+b0YgSjuAQJGVrDduENLqkGoN6jtlU2qHax3ZVU8zLpRRysVoOav95HQ2P2HKpW2qrlgGY5AQN7T83J1N6Ylk1tgMMLaRiKldn5tpEKZYxCI13+5PegWlxSKs1Gbel+FADgq6J93Y7A+sMAYEikGqY+nRrYdRnUbkmcjdDnFEBk2+p0KRnKMZIh6PMK3qve2TTDqH0XW2ZXvOaaa1BRUYFZs2ahrKwMQ4YMwZo1a854UuVbbrkF8+fPR1JSUvOdAfz5z3/G3LlzkZ6e3mzfqMUJdiSUOMHjx1ofExbmx6olBOXSmAFzcattFfXaQnDfzp+U9mgKwZxCNWC90HsMAJAP6oETqulz74mWC0F9Nt3VQpyNGN6/EBKblz5LtcNK1sAvr2QO/PK3Ok5Qiyb6tXWcYN2piqjECfYeOBjvvfd+xHGC7QWr1YpvvvkGgwcPbrZvbW0tUlJScPTo0YhslxG9q6frdel0tEA70frrkTTavH6NNS7VY1rqoHY0q0mPqkYPfGzAw+VU4FUeVkOCqg6y7Y1BwdgCS0rgrh8EAPjRSOffUEftevXfqt7aS4ZRm+n4/jRQ1ZJFPdVmlmzV4KbCz+hh9lxfaL0UWUARHUuyYPWC5BRCxwLCfX6CjRgtgcfqAusQd9icWeGI4aokHhg2bBguv/xyDBs2DHq9HgaDAf369cMDDzyAN998E19//TWcTickScLOnTuRnZ0dsfMmol/tgAEDsGzZMrjdGl9sP/bs2YM77rgDTz75ZEQn53A4nEh4//33cdNNNyEjIwM2mw2iKOLvf/87LrzwQjz88MNwu92w2WxIT0/HH/7wB3z22WcRjx2RJvjSSy/hgQcewJ///Gf85je/wYgRI5Cbmwuz2Yyqqirs3LkTGzZswM8//4w777yzSU9sXCGI9NYO/4FlD6/IUixFGB0XAPFRzdLrpNqji8X6nTpGl9SnjqpJVb+1jAQA9MtiVeWYhqpn8zCyJXYCS4eVaFRtxyYWmGhhFegM7BiDDnAl5yoJUkU/e5VW+YGAubfWJhhnNsVoeYeFODV+denSBY899lhA2+HDh9G9e3f897//DUii0lIiEoIXX3wxNm/ejA0bNmD58uV4//33cejQITQ2NiI9PR1Dhw7FpEmTcP311yMlJaX5ATkcTsvo5MthLbp27YqSkpImY4AjoUWW1nPPPRfnnntuq07I4XBOgzbyDrd3/ve//7V6jKgFS3doYrB00rLr6zSyZvpXWUv1K06eb6OOA7NeRH2CQVmedmXLVZdTNQrrWLiJs+YEAEBiW9IMLHtMUibta2X5BSuF0MV1PQvC3ltJHSDHa+jzOlZlTo7uSTTRr1S6VXVkZNvo+XOSqHMlj92LLNBbxmpU32eLPnAOxqAthWIH+zFz2o74MoxwOJ0VWRNs7a2D8NVXX2HixIkoKipCaSktAvbuu+9iw4YNLR6La4JthNZmeIOGJuhffzfd7+MyM41PEACP3QyJfb/1hTS+rjBLrdFxvJq2VTXQbNTq9jn6ekoC09BSqXZZxzJQVx1XtTkTq11SVU81vyMVVCOsZxqhR65pzBS4w1Z1G2JmGh23fy51lpiZlicCKKtzw8Mmn5vkv3UxUBMUgiz6Wu8V7afR1hFCYSUJyofcyfl//+//4YYbbsD111+Pbdu2Kdtsa2pq8MQTT2D16tUtGo9rghwOJ654/PHHsXjxYrz++usBNY7GjBmDrVu3tng8rgnGmhYsQbT+kRJF9fhEP0Upw8QqxAkiTibolJCRbCv9SKUcVROUN6J4mUbk85HA5+x1uT6wgYW0WLv0UcZIJzT4Wt5NIleok5gt0uthFeM0cl9UsWQKjkaqRTpZVTuJADUuLxo89Lm/zdNfA6ZzDNTmdGFipXUaqqDW7px40w6jmUAh3tm9ezfOP//8kHabzYbq6uoWj9diTfCiiy7SzL1XVVWFiy66qMUT4HA4ERA1m2B8CX8tsrOzsXfv3pD2DRs2KKn2W0KLNcH169dj+/bt2LZtG95//30kJtLgWLfbjS+++KLFE+isaP6r+zwhTaKrTj3GVas+rjtF740WGCoPKJogqaIam6+6UumrZzWCCds2JxiYd9ZKbXS6NOodJja6JS6tF31+TbG6d/j7LZsBAKeYNtfgoprffqaS1dXS3USEqZV6g/rVSk6ktkUL0wj1LLBakggMoqCp1QUrapH+dLUUPC07oZZ22OS4bb1NjxDti2vxOK0foq2ZMmUK7rnnHrz55psQBAHHjh3Dxo0b8Ze//AWzZs1q8XintRz+9NNP8ac//QnnnHMO/vOf/6B79+6nMwyHw+G0mAcffBCSJOHiiy9GQ0MDzj//fJhMJtx333249dZbWzzeaQnBnJwcfPHFF7jpppswcuRIrFixAv369Tudodo1RBBABCE29iMNTVDQSDoguP2yslQcUR669tOkCGJiMjyHDymZYap/oO0VO44qfWtLqSboZAlPDcw7m5hJExak9aHe44yhNB2aiWmGg81qxToPS7h6nGn+yUb61emRTp9X1FFjYANL/Grwi+tLTqC2vizmMbYzu6JXIki1GGBm2+n8YwGDtcNOli4hlA4W4tIaBEHAww8/jPvuuw979+5FXV0d+vfvj1dffRUFBQVN1hPSosU2QTmbjMlkwtKlS3HPPffg0ksvxSuvvNLSoTgcToTIjpHW3uIZl8uFGTNmYMSIERgzZgxWr16N/v374+eff0afPn2wYMEC3HvvvS0et8WaYHD6wZkzZ6Jfv36YPHlymCPin0jtQa3WGLW0Q4/qbvXWqJpZ/WEaIGqyO+CpPKF4a2UNcNcONSHqr3Xa5QoMLNZvKNMUJa9cEGk7ff7ep2rn/6MJFHJGjAMApGdTLbLBQzXERuaCdjPPs78zV377mMIHC9P4vIQgPUEPr0S/hia9+j6b9IH/z1q7aToVfNscZs2ahVdffRXFxcX45ptvMGHCBNx000349ttv8dxzz2HChAnQ6VqeSqTFQvDAgQPIyMgIaLv66qvRt29fbN68ucUT4HA4nEhYsWIF3nnnHVx55ZXYsWMHBg8eDK/Xix9//LFV+U5bLAS7deum2T5gwAAMGDBA8zUOh9NKuE0QR48exfDhtAjYwIEDYTKZcO+997Y64TMPlo4imkG54cyuWkkZmkvU4JcZWg5FkTxeEK9abc7bSENXajy+4KND8LDl+1EW9pJZSlPnVx2oAQB8flIdoziFXluX3J4AAJOcot9El8NET50ehCVrIAa/yG75NVHP7lk4DwRkJRqUWsX+BK9+g99ZsQVf/EjDZto1XAjC5/PBaFS3cur1elit1iaOiAwuBDmcOKAjODZaCyEEN954o1Ie1+l04vbbb1dilWWaq3IZDBeCMSasU0VD6xPE0I/Dv9aGLiVTeWztQsNYBEsiDHUegKXHSs6j/4y9jjqUvm6maVUFaYcmpm5lsPRXBjMNZXF4Qn9sJ/dWAQByDu8GAHjrqFNFdqbIjhl9AtUERatdOVZkBZ30bP6ShSXe1elhqDsBebOcZFL/1WXNUnkeXIc4fu37nNMk2Pk6ceLEqIzLhSCHEw9EK4tMHP97vPXWWzEZlwvBCIjJ90arNGSQ9gMAkkWt1SFmqk4pk5w9Q2+EwZMA4qZhMDmj6X1Cpl3pm3OUhtY0VND6xLL2pmPb2BIzaLiLrUcOAKCujG7VK9Mon+k8STXCuqOsxGYN0wjlmiNMqzSnqCUyE7JpKU9TPg3FMeT3otcr6CHWVarLPH+bZ1CJTckQVH1O4/3r0ERr2xwnBJ5Ki8PhdGq4JtgEsfzzDU4NBQA+IfTjEM125bFgUR+L9nz6gEjwVUjKljtDGi1gnjGkUemb6WEaYCPT7Nw0ESrxBiZsEAxGNiTVzLo41Uwdzr5UmxNZMCph2qSbJVl1sy15ItuS53WpafMFVjTcmExtfsTJ6hmLItDoUBM7+Nk/A7zLAIRgLZlEXtS+Q8C9wzGDC0EOJw7g3uHYwYVgjJHCqJI+jWavhnbo9Kpf/AY/r2098/Sa9SKONQJ6HdWU6n3UVljnVcMG3CymUDRTLSkhiWpRiQZmE2QJTK0mep9mzwIADCwuVcbYVqpu2QOAhHqqXcpao94UVBjJLwOsjtkJodP+uhFf8zGNnV4L4ppgzOA2QQ6H06nhmiCHEw/wBAoxgwvBKKK19A33lQvOxgOoGVj8qXWrS8VDrPYvAOyqpGEsqRYjDlTUKzn5Nh+qBgDsPV6j9K1n1eN8XlZDhNX3TWT1gPvkJgMAzsqn4TjdmdOl69jxyhi6bd/Q+2q6RBbNNKzGknmczp2F08gOE51J3d5ktNPxdaks2NuSrF6gJRmiiTpRJJ16DIIDx2NQ+zmukHyA1EGdPm0MF4IcThxAJEmxv7ZuoNYP0dHgQrAJBIHeYhEmo+ED0UwkUO9Wv/iltaomuPkArTGSn5KAssp6Jf/e9j20tsjxXbvVMU4c0pyD0Uq3r1X0GgwAqGqgYS5WE3WufFz1q9J3TCIdv186LWQjWmk6NVM+3Z5ndtOwF+JTQ2Nk5JomSpIFv+1xUmKq8gb7bxEk/lohoNRQ4XCiDReCHE48IEkBO2pOH64KBsOFYARoVivT+C5ppXfytVKN9PgtgVx+4TIn66jWZjHqUd3ogZkFKTc4qP0vnPbnj7uOboGrOrwHAHAkndr5XEwjrN+mJmFwjqD2QttgmrhBL9JtbcZE2q5nu9wMLJGCX7kQiHIiLPnO7z3xJWU1O0+gAwdBR4rkA3iETEzgQpDDiQOIzwcSjf8BrgiGwIXgaRKpdhjue6tVMkOnMWiCQQ1CthrVjyuHVX9LSzTCYzFAz1QvUwJLYGBTSyA4a9R6I5pz0bNkDMwmKWuTFft/VPr8kj0KAHCoqx2Afy0Rwq6Hzl32Upv9aoQks2BpC2tLMKivVbkkxT5q9qsxog96gwxBJsHOrhhyogcXghxOPCBJUQqR4apgMFwIRhEt7UQMowvqNJydRo3sUFaj2rG7XfWeFvVIpa+b9EhyWBVNrKwXrSGs0w9V+lZX0BRWbkfg1jfZO5ycTg16ednUa+tk6fZFveqhlWMMKxvoa+U11FNd62QxfkwjlOsN2yzqVyszmcYjZibQ8XKS2LgC4HD7wHb1weeXFCExSPUL1px1Yd7XSDXEllYGjEnt6ZbAbYIxo03jDubNm4eRI0ciKSkJmZmZGD9+PHbv3t3scStWrEDfvn1hNpsxaNAgrF69OuB1QghmzZqFnJwcWCwWFBcXY8+ePbG6DA6HE8e0qRD84osvMHXqVHz77bdYu3YtPB4PLrnkEtTXhybzlPnmm29w3XXX4ZZbbsG2bdswfvx4jB8/Hjt27FD6PP3003jxxRexePFibNq0CYmJiSgpKYHT6Qw7LofTniGSLyo3Tihtuhxes2ZNwPMlS5YgMzMTW7Zswfnnn695zIIFC3DppZfivvvuAwA89thjWLt2LV5++WUsXrwYhBDMnz8fM2fOxFVXXQUAeOedd5CVlYWVK1fi2muvjXh+AiGtXwaFWZ/pNdotGp+GTlDXyKYUs/I420qXlDoRsFQmKk6ZzETq5DjRM03pW+OkS9g6luPPw0JtDHo5eww9sY3VGDExZ4zOdpkyRmZKNQB1u18D285XyQq7N7rp2PKy3JZgUI6VdwPKNU1S/V5r9EjwsA5GnfqemHVB77vu9O1hbb6UjQbRsgl2hPciyrSrMPyaGrrfNTU1NWyfjRs3ori4OKCtpKQEGzduBECLw5eVlQX0sdlsGDVqlNKHw4k3uCYYO9qNY0SSJEybNg1jxozBwIEDw/YrKytDVlZggG1WVhbKysqU1+W2cH2CcblccLlcynOHw6HZ73QQwnzxtBJkihptRknN/mwlbvV40McEepxAHcAyPudYqEY2wOR3XvnfX677qzOwe5ZJmm1n87Bu+UlU4zyR3EUZoo5VmTMGOT4a3PQ+OHmETozt/2vYIn5c0+G0kHYjBKdOnYodO3Zgw4YNZ/zc8+bNw5w5c874eTmciOHe4ZjRLoTgnXfeif/+97/48ssvkZ+f32Tf7OxslJeXB7SVl5cjOztbeV1uy8nJCegzZMgQzTFnzJiB6dOnK88dDge6dOmi2VchwtxuYVOia2iIgqchpE1sqFJfr1Y1Wc9hmtxATEoBDuyHYKTam+vALgBA7cHjSl9nFQ2Rket+6JntLyGThsgkdaVas7lbXwBAYUZXAMCEYcOVMdb76HhVTjpv2aaZkki1yRoWViPb98x+IS4pLDRGsTn62/70ohII7W8T1AXFxHT62GgeJxgz2tQmSAjBnXfeiQ8//BCfffYZCgoKmj2mqKgI69atC2hbu3YtioqKAAAFBQXIzs4O6ONwOLBp0yalTzAmkwnJyckBNw6nPUEkH90619obl4EhtKkmOHXqVCxduhQfffQRkpKSFJudzWaDxUIDgydNmoS8vDzMmzcPAHDPPfdg7NixeO655zBu3DgsW7YMmzdvxmuvvQYAEAQB06ZNw+OPP47CwkIUFBTgkUceQW5uLsaPH396E22N1hfmWEHSSDnlbgxtqzulPHbv/1l5XLFxGwAgIScV9UfKoU+g79fBT34AAOz9Wd0qt49VgnOx/WnyP183pqH1KaBJELqcR48xp9Lg6cZD3ytjpGb1AwCYUmkqrQRWB7jRSzXQeuYdlnM8+P+7yskdLAaqycjb5wRBQJJRp3icTX5b7YxB3uAQzZD/mjlRok2F4KJFiwAAF1xwQUD7W2+9hRtvvBEAcPjwYYh+RvbRo0dj6dKlmDlzJh566CEUFhZi5cqVAc6U+++/H/X19bjttttQXV2Nc889F2vWrIHZbAaHE5dIPm4TiBFtKgS1UswHs379+pC2CRMmYMKECWGPEQQBc+fOxdy5c1szvejUdQh3jRrjammHpF71VLsrTiiPaw5Su6jP40V9+SkYEqiAP7mHao47a10Ih3zmAyxllmsftTtaUo6wqdEenlM/KceYrqXJWi1FVGs0y4lS2XmlJKoZyl5iraSxskdX/i2LEJBi1qnt/u9V8PsTbadAvCVpjZoQ5Bp0MO3CMcLhcJqGSBLPqRgj4uzvkMPhcKIL1wTbO6K6bU7ws40KzFEg6MSA9tPBxZaaHra9rqGSOmgOl6vL84G7DwMAsnvTJbOsk8j3Or2ezUcutK5moCF6OSibLp0JW0qDSNDXVypmAGJQbbbBNUb83wd6Iu1rjrgWiZaZoz0vkaO1HOar4RC4EORw4gFuE4wZXAjGmrD7u0K1jhDtB4AuMUl5bMxSg79TetOg8oTMFFhFATozPTazH80neNZ21YmyizlJXEHeijSWqXqAnWpgyazusMT2zxkr1Gw+kptqiVINdZBI9ayusZtt32PB34KssZnU3Iciq0Ois7OkDkn0XpB80NWfhOBjY5vVa5WMiQFzJcaEgOdhDTmRanPtWevjnFG4EORw4gDuGIkdXAg2hSDSW4RhMlr2qHBfWyJqvPV+dXdlJGu68tjQQ42FTDdTTUlMTEZCwj6A2d26s8DktP7q1sIBJ2gIjJeFxMhpmk0srMWSaQcAWLtQTTMh8ygAoK9VDbiuz6XzkOsKS410i5/rFA3h8bnVRA8AoLeYlMcmex27aLblzsy0Op8XgqsOUiPVOAWdmmJL0KvH02MDPwMCjTTcHRkeJxgzuBDkcOKBqDlGuE0wGC4EI6EVHsew3kqtIiPBHlAAPr3fLherWkFOyO6jjE+cSSDsF6LPo0kQUorUBA2pcrKG5jRaNtf0Qrp9ceA41Sb44wmqzQlykHQ9TcqgM9Fs3bImKHnouSS9en6fnHCVaZFg98TnBfF6AC/TIiWN9F8cTozhQpDDiQOIz8f9ujGCC8Fo0gKPo5aR2yOFHu8kqnZY51Y1pToPS4EvCDjiVD/G43VUy6qoU2P8qln8n9MjsWNoezJLc5/OEinks6pwVlshAKD7yBHqfLd9CwAQa6mtUSkPYKSaoT6ReoslFz2XoFfnrbPSKnYis2PKMYSCqKMpwGQNUK/aBIO14hCNuiXe3Y7gCZYkXmw5RnAhyOHEA9wmGDM6wF8kh8PhnD5cEzxNIo3ZCvfH69NIs9LoCXVc1LjUtkM1asnQbcfo8jPFYsChslplG93nu2iQdOnBaqWvo5xmhXbV0VAZkYWiJKTlAQDScu0AgLMKaRhMAqs+t6HhgDLGYLY1r6ctl45hoGEuRhsNfJbqWLYbb2DwNAAILPRHZIHfkomFyBACyWKDwHITSgY1IJrogwLHg5a0YR1OrVj6NvWZtnWMHpF8IHw1HBO4EORw4gAeLB07uBBsAiIILfriaWl9wVXYZLQ0QQ1FEA6XqlEdrFJrkHy77yQAIMdmwYnyOhiYt+PwXppP8NgPXzQ734ZKGhRdX0G1O0F3FgDAyxwwzp/UOdYNpRpWah8apmO2UK3RzIK5RTvTUr10i55WlT2f7OyQA6ElL6SEFDV0xz/pgl/gNKARXN5KJxSHI8OFIIcTBxAfAYlKZlnuGAmGC8E2Qivzsk9Da3T5VI2q3qM+rq6jtrcEow51Lg9MBqpluRrq0VIaq2nYi5PVIqlntsfqsi+VPruyaeW50V1TAQB6Hf1BypXidKKBPafanN7gVzmOaWJyCRE585cAwG2yKT9Lf31NbEZ762zKHfFJ0RFfMZKBBw8exGOPPYbPPvsMZWVlyM3NxcSJE/Hwww/DaFQ1/J9++glTp07F999/j4yMDNx11124//77YzOpCOFCkMOJA6hNMArjtH4ITXbt2gVJkvDqq6+iV69e2LFjB6ZMmYL6+no8++yzAGjVx0suuQTFxcVYvHgxtm/fjptvvhl2ux233XZbjGbWPFwIniaRhlu15EunZeUy6dSg4SST+nFlsfRXGUlmSAlGmJkmaE2haatqrSlKX3edWrtYC2t2dwBAQhK11ck2Qb1fOiwX00LlwGs3q0MiydXl5NrB7IHZr3JcgpFVm9MHvkYIQbXTB1aqGCa9+is3BlWXMwRVnxPCvLHNaZDK8Z1Mk4w1l156KS699FLleY8ePbB7924sWrRIEYLvv/8+3G433nzzTRiNRgwYMAA//PADnn/++TYVgjxOkMOJA4hPisoNANxuNxwOR8DN5QpfmOt0qampQWpqqvJ848aNOP/88wOWxyUlJdi9ezeqqpr+o44lXBOMMeEUDlHjBb0utNFqUv+nutpUzWw0i+lLNRtwoC4JBqZd1QzIBAAk2tRC87WnaLp8N9Pi5JhCcyL9Mtoz6Ha2wV3sAIB9LPVVYm5vZYzu6YG2xkbZg8wKDXuDVGN/TTDRQL9mqQn0PsVM7YcSCOq9EtxMFbQSv/9kQ+D/c/D7FVyHWEbLG6+lHWpp8u1ZO4yeTZDgvffeQ3FxcUDz7Nmz8eijj0bjDACAvXv34qWXXlK0QAAoKytDQUFBQL+srCzltZSUFLQFXBPkcOIAyeeLyg0AJk6ciJqamoDbjBkzNM/74IMPQhCEJm+7du0KOKa0tBSXXnopJkyYgClTpsT8vWktXBPkcDoZRqMRycnJEfX9y1/+ghtvvLHJPj169FAeHzt2DBdeeCFGjx6N1157LaBfdnY2ysvLA9rk59nZ2RHNJxZwIRgBsdhzrrWcM2v0g0l1jJhT1eVwfjLL3iIKSDhpVbK6dLPTPvX9M5W+Ti+9AC/zYohy7kG2/E4wBDouTna1AwCEnEJlDNfR3QAAK5uPvAyW65Z42PJYdnL4h/sIbG4JXh2bByvQDsDtI6hnxxr9zAHGoJA4X9CapZPllY6ad7ilZGRkICMjo/mOoBrghRdeiOHDh+Ott96CGFQFsaioCA8//DA8Hg8MBmoSWbt2Lfr06dNmS2GAL4c5nLggao6RGGWRKS0txQUXXICuXbvi2WefRUVFBcrKylBWVqb0+eMf/wij0YhbbrkFP//8M5YvX44FCxZg+vTpMZlTpHBNsAkIaf13JtKQDQDQ6zW0Q9EvEYHg9nusJlOoFBuUbWqZHprIQPCoW+ykBlbjQ87oLFeGY1mixQSa708SaIKDrolUmxzaR9U8v/VS50m1k4XPsG1r+kZWr4RptrKGKPhpukaWRVtuku/l36TszPB/r0nIGx/43mgFmwNqrsSORtQcIzFi7dq12Lt3L/bu3Yv8/PyA1+TP0maz4ZNPPsHUqVMxfPhwpKenY9asWW0aHgNwIcjhcKLAjTfe2KztEAAGDx6Mr776KvYTagFcCDaBINBba7TBsGWHNQYVPKGxWmJjtfJYV6vWEvYc2UOPMZmBQ/uUKnCOHdsBAKd+Oaz0rT5I0245qwPHN6dSK2RqDzsAIH1wTwBQvIgV3/xX6WvqRSvdpRXQ7XMmtm3OYqQXWO+mNp4GucaI3+XpmepnZUHTaigQgVEnKDZJvZ/2KDSjQYeJkOmwtPcdI/EMF4IcThwg+aSopE/gUjAULgQjoDVBtFoaHwAIkje0zesMaRMba5THsvYHADWbvwMAmFKS4Dp4HIR5fg+vpzFbW3ZVKn3LXaHnAgCwCnJdD9FzDKum5284Re/3lam1hAsmU1tjcnpXAICNJUa1JlBbYaORXqfLFxo8LT+UtTcTsxF6BYIEg6hogP7eYUOwNzjKml97DozmnFm4EORw4oDoOUa4KhgMF4JthVYNYJ+Wdqja8STHSeVxfRlNnup1utFYqWqLNUepxhZW+9PgcCPV+HoeobWES6uoJlhVp/axMRuj7bwKAIDopJ5lOXW+1Ug1w0RWJ5nIiVMByP7t4J+f1yfAahDh1dFX/GMngzW/4LjK8NsRO6aK195TacUzXAhyOHEAIZLm/yan9fBgaQ6H06nhmmB7x6+WhmBUN9bpzTQDjCHRDL1FTU1kSqKPxZN+wdLNnEIOdDZY6NdB1Mhq5GlggdZ1dOmtrKpYVTjRzAKrWeU4YlCXwzq2NCYGtlRmtUT0Oh0SdERJOe1fC+R0w5I66GqYLof5UjYmcCHI4cQBUROCXJKGwIVgFAkXDqPdWcMSEVxrF4BkVLeu6TPylMepA2heNjExGRaifox5I6nj4kI/lehIBdUKT7oDK8ClseDlLhnUqZE9jFadMyTSMdL2qDkEk/Jpxmp5yx1xy1v4aK5CoZE6VeSteIJZrSEsmK2B18KcKIKog+iqVZxERO+XQqK5anNhIGFdJvGNJEUnTpCLwFC4TZDD4XRq2lQT/PLLL/HMM89gy5YtOH78OD788EOMHz++yWPWr1+P6dOn4+eff0aXLl0wc+bMkD2LCxcuxDPPPIOysjKcddZZeOmll3D22WdHde4t0vo0IFqaoE5DE0xQUwyJOerHZbHT9EZE1MOAX5T27BTanjFKzd4xoJra8bxOGm4jp1nXW6jWZkimiRN0aTSnW9rAIwCAPL8YmWM5dFzRyjRClpRBclJNkHg9AWP71x2Wr1SQr1m+Tq8HgqseApHrlai6DjGqmiQQGhKj+f4BEGL0v97az7u1cJtg7GhTTbC+vh5nnXUWFi5cGFH/AwcOYNy4cbjwwgvxww8/YNq0abj11lvx8ccfK32WL1+O6dOnY/bs2di6dSvOOusslJSU4MSJE02MzOG0b4jPF5UbXw+H0qaa4GWXXYbLLrss4v6LFy9GQUEBnnvuOQBAv379sGHDBrzwwgsoKSkBADz//POYMmUKbrrpJuWYVatW4c0338SDDz7YovkJhMROA9DQZCRDaFpVfzuZz6xqhb5kOi9BENCY2qhoCV5bd/p6D3XeUhhjkpyo1BdUF9jYh3qC8/r1VPqe2LaNzsdHbYGi7KmW03S5aYC1kqZLVNOeylv6RNn2R3zyCxAkLwQ2puBv9/OpacOAUM0vjCKo/RsP1zmOIBLfMRIr4urbsXHjxpACMSUlJdi4cSMAWkVry5YtAX1EUURxcbHSRwuXyxVSfYvD4XQO4so7XFZWplSnksnKyoLD4UBjYyOqqqrg8/k0+wQXg/Fn3rx5mDNnTkzmTMIErmkpmB5faGODR1Xjalyqne2og9r3TDoRe06qiRd+PUU9uruP1yptx6qo3c7jDPQOWxLpx989nXpv+2ZbA17folcTKGRKtCZFfhLV8IiRJk4QTPQYgWmCIksC4Z8UVdDR8xB2D4FpicFbIPyfN/UagBYl2NfaahFn2iG3CcaO+PomxIgZM2YEVN46cuRIW0+Jwwkgeun12/pK2h9xpQmGq1aVnJwMi8UCnU4HnU6n2aepalYmkwkmkyns6xwOp+MSV0KwqKgIq1evDmhbu3YtiopooXGj0Yjhw4dj3bp1SqiNJElYt24d7rzzzjM93SbRKhLu1lgO17nVpdwBtqwFgO+PVAMAbAkGHKlUQ1nW/nAcAHBs1yGlrfrwz9qTYM6L/QVnAQD29KPB2M566pSo/1I9X8lZdFn/2360ip1FT8NqzCZ6L7KaJoKHLc39HBvKVQmBy2IBbAudvFz1X6I2t1wNk01Ay/igGU4TZ0tkySeFravSErgiGEqbCsG6ujrs3btXeX7gwAH88MMPSE1NRdeuXTFjxgyUlpbinXfeAQDcfvvtePnll3H//ffj5ptvxmeffYZ//OMfWLVqlTLG9OnTMXnyZIwYMQJnn3025s+fj/r6esVbzOHEI9w7HDvaVAhu3rwZF154ofJcLr03efJkLFmyBMePH8fhw2qtjIKCAqxatQr33nsvFixYgPz8fPz9739XwmMA4JprrkFFRQVmzZqFsrIyDBkyBGvWrAlxlrRHQiusBWqHVY2qo2JPOXV8pCaacKJKdYycPEY922G1P39YOMupfVsBABYb1epqy6k2WVu1Rem6OYlq2+f3SAOgVpUzs7gas54GN5tZpmlRUueqZNGWQ2Rkx4jgDki0QPy3yrVjrawtiN7e4SiM0cFoUyF4wQUXaP7wZZYsWaJ5zDYWsxaOO++8s90tfzkcTvskrmyCnRH/CBvRv5avnmpTJr0Ig06AjxmMhFaUYfN56RjuhpqQ12Q7oYNlrJbrgXgk+hWSNVYXazfp1a+WgT3WsYsR/OxxRG9Wtb6mbIKdXDMkPtKkwsA5fbgQ5HDigGg5RjihcCEYY8Jtu9OqhaHX0OLMerUtM1FNsDAgjwYvJxr10J9KULSEjHza7q4fpvStOkhrEROfaqfzx951AAAglQVLE6kQAHBivxpgbmbnln+IsuYnMXufxNJySaw4rv8P1svaDOxSDExb1OlNIAaL4qUOMHo1lx01jGYYLrFCvEMkAhINgx4XpCF0zG8Mh8PhRAjXBCOhNRVuwmgmosZfslGjuG6SUd0eVmBXkynYTNSTqhOBpFNWJUmCYVg+AGBfvl3pe/hUNwBAA/MuS0yL07Oxs+002WmvLKoJ7s6kHt7jfQcpYwzNoXGAVnaMNygrg/zUyy5X9FMFBbZbT1b4RIldpwh4iZp+P0BrDnrPhaDnrdb44kxjlHxEM7a0pURFm+xgcCHI4cQBfO9w7OBCkMOJA6LmHeaCNAQuBCMh0m1XWoTb3qXRbtDoZxDVfsl+6QZzzXRJSUQ9GpL1yvKwm52OcnGBXenLkj3Dx35E8ko12Nso+2VGd6HHJnfvp7xWdYBmr7Yw74ZXoueTl8HyUBorekWDka9EPq9AAB+hRn96rHqwGPSet+q3G2dLX86ZhQtBDicOiJZNkBMKF4IxRkvjA6CpIQpeV2ibU80LqGtQCwL7Ko4CAMTEJOiP/grBQENYPKX7AQBSpVpOwFtFt9JJHuqhEA3UQ5Fgo44QfVo6vc/qCgBINVGVc7hO3dL2nYHmKXSbaY0RNhS8TIuT7+XfaUCQN3siKs+h9CWEQNkZ6K+wBYXI+GeqBtq+5seZhtsEYwdfJ3A4nE4N1wRPl9bYCQEleUHAkB5nSJu/9ufZv1157Nj+EwDAnGaD88Ax6IxUEzy6nu6rLt2iVpv7tZZueatm6puBqWL5Fmo/7J5PEyfkn9MdAODz0n7bl/1Tne6YIQAA04BzAQBGVg9FYgkQvOz/1CuXD9G4ZFm381fyBEHQNPgHL/10QZphuIzdHVVDlCSCqOSR6ZhvT6vgQpDDiQOi5R3mcYKhcCHYntDQDolTTZjqO6lqd6d+oUlTEzJTUHu8EiJLqCBrgF+fbAh7GrmWya911AZ56FeqKV7IXLuNJ2ky1a3V6g9mJKtHklEwkDYwDVAOdBaZZmhgNYUlv7RY4Qz6wd5p/+fBXubgIcLtqgunIbaWWI0bKdQx0oqgfU5YuE2Qw+F0argmGE1aaydsBuKnKUoemrjA5/FC8qrtdd6Wn8/FVDBnNdUMj9fR7XV+uVpRV0ZtkxkuqpnKSVOVpAxy4lRZM/SrlyzK1eZYMlVVqyLQCYBPIyl+sO4YrE2Kmon0m8+7EK8QifCkqjGCC0EOJw4gPgLSQQV8W8OFIIcTB0g+CVI01FyuCYbAhWATEEFokUFcKzwjXLaT4OBfIKjGhtzPrBZE16XlKI+Tu9PH5rRkJPgtubNyaP/kejV3oMMb6nDxJ8NIvwaJmbROSIaTLm0d9epxejObG9snR3y0jyAvcUVPwHMIodXmBOWStQuntyIptnoujR95R10ic6IDF4IcThxAJL4cjhVcCEYRLa1RCOOAJ6LGW29MCGnyJaapL/cYoDxOF+m4giURiZb9igOm4DdUA0vOP6L0rTlIa4bIjg/ZyWBOpk4Me3e6FS59IN02ZztCt9wN2VevzreQ5ikUzPIcRXYdsuYXPtBAgLylzi9zAgARIkRBOK3YtXBhN1oZuzuCdkh8BFJUVsN8PRwMF4IcThxAfFJ0YhW5DAyBC8EooqVxkDChHH4GMrVJQxMkejWJgZSQovZN6652ctuUQGtbXm8AQMrFflqckwZOE1dj4ETlHxULfBYTqD3RVnMSADDYrn49trtoH8ls174eppkqdk0/m6daZ1jZOKc9xhmkI2iHnOjAhSCHEwfwEJnYwYVgBLQmSDWc7Uqr1eMNbXX5OXbrPap2VeemwchmvYhSjxk65lp1SLReSLU3WenrZOlMJVasTs9UHquJjpdsYt5hI9XmDEk9AAA1w9WKdY3bf6CvMXueIAduh9vP5qdWqR5ylghWkCvS8Rx5kSL5CNdUYwTfNsfhcDo1XBNsApr0M/L+WlpNuMM9vtBXGjU0wWqnqgruq1KTIvxQSj2+WclmHDpeCxPLOLBhbyUA4PDhGqWv4xS1D3ob6ZY3nZHa9xKSaQotud7w2b2oJ1pi2+hWV+1TxugLeu7CdKpp6gX61ZETHTCToGLtC7etDUDImyInTohGnGBHhUjcMRIruBDkcOKAaC2HuQwMhQtBDicOiJ5jhIvBYLgQjDHBOfNktJq9Gp1PNarb3/aeVMNevviFBjR3SU/EyaM1sLC6Ibt+pu1lP33V7NxOyvfpNBDa4x7M7ukSvPFHdT6NLI1gHguw1rHlr+xk0bF1sfJc8Cu+HuQrUXPIhP9JNvd71wqK5nBOBy4EOZw4gAdLxw4uBJtAEOjtTEVx+DRO5PKpyRFqGlStsN7Bcv/pRThqnbCa6UdZV3msxedtqKSV62pPFQIAnA10613tyQNKn9I8qiW6mbaqZ1MlLGqHyP4b+bnf2k0fFIPgrxEKUB0iTf3EW6P5dQSlkYfIxA4uBDmcOIAHS8cOLgRjTEvCPoIrqgGASaeqUbK2BwDmRLo9Lc1qhGAxwMICns1JtIZwHfYhUnRsu57JwjJAM43UbUtX+sjjKzMMmmrwzLW0lnCajBJWEwVVh2tLnJbChSCHEwdIJOwu9JbBbYIhcCEYAVrahZadUEuTCbctLLiaGgAYNRpTLWqi1V5picrjot4ZAIBsuxlHPDYYmMZ4pDCTjm84V+nrOLYfAOCuq6bz1NMxE1iS1pT8PABA7x6pAIAa5pF2mvKVMfpm0+QLJn2gF1i+ZtnuJ2uzfgqsog0rAdR+l6njEdIRoWUvPh24DAyFC0EOJw7Q2GDEiRJcCJ4mkdqewm0fC/aYAoBF49NItahJEwZmqqn285NpAgWTXsTOWruibWVZaRzficFqKv5TdT0BAC5WiU7W3mQbY1oizayQy46VPcBZvforY0jH9tBjWDxi2O1ybGytUgOKHuL3kkCIWpGvicSskRJpGIn2/KLXnxM/tIsECgsXLkT37t1hNpsxatQofPfdd032X7FiBfr27Quz2YxBgwZh9erVAa8TQjBr1izk5OTAYrGguLgYe/bsieUlcDgxxUdIVG5clIfS5prg8uXLMX36dCxevBijRo3C/PnzUVJSgt27dyMzMzOk/zfffIPrrrsO8+bNwxVXXIGlS5di/Pjx2Lp1KwYOpNsann76abz44ot4++23UVBQgEceeQQlJSXYuXMnzGZzyJixRAzztdMyhenF0L4WgxonmKpTkyl0M8mPfWiweJXkrV1Zf8HmN5Ykf8zBNYnZJHQs/b2O1Q5mabKGZ7qUnlsqaRFiApbklRVcChlSC1nD00izJcj1ioGAGs0hBaoi1BI7qsbGl8Oxo801weeffx5TpkzBTTfdhP79+2Px4sVISEjAm2++qdl/wYIFuPTSS3HfffehX79+eOyxxzBs2DC8/PLLAKgWOH/+fMycORNXXXUVBg8ejHfeeQfHjh3DypUrz+CVcTiceKBNhaDb7caWLVtQXFystImiiOLiYmzcuFHzmI0bNwb0B4CSkhKl/4EDB1BWVhbQx2azYdSoUWHHdLlccDgcATcOpz0RreUw9w+H0qbL4crKSvh8PmRlZQW0Z2VlYdeuXZrHlJWVafYvKytTXpfbwvUJZt68eZgzZ05Iu0BI65dXRHu9GLAMlNu8rpA2sVHNCyjUqPP3Ht1L2yyJwN79StiLc+9OAED1XrXaXN1xKtTd9XQ7nKinzg2znS5tk/JpuI2tVxc6dgMNhzmx4SNljKFjzwcA6ArPDrw8uWoeW+Iqz0X/GBl90Gt+9VWIFFrzBKHB1xF/ClFwrrRHorUc5iIwlI75jWkhM2bMQE1NjXI7cuRI8wdxOGeQ6GmCscflcmHIkCEQBAE//PBDwGs//fQTzjvvPJjNZnTp0gVPP/30GZlTU7SpJpieng6dTofy8vKA9vLycmRnZ2sek52d3WR/+b68vBw5OTkBfYYMGaI5pslkgslk0nytRWhofUIYTVB2PgT0ddWHtIm1J5THrl+3KY8rNtLHlkw76o6UQ2eiYS77/kvbt+45pfQtd4Vqnf6cZSsFAPQpqgCg1ic+dUDNZH1uMt1al9qtH5usnEtLri7HvkqykwVqkDcE5qxh7wVRsyw0Oa/TQuv97qDaYXvl/vvvR25uLn788ceAdofDgUsuuQTFxcVYvHgxtm/fjptvvhl2ux233XZbG822jTVBo9GI4cOHY926dUqbJElYt24dioqKNI8pKioK6A8Aa9euVfoXFBQgOzs7oI/D4cCmTZvCjsnhtHd8JDq3WK+H//e//+GTTz7Bs88+G/La+++/D7fbjTfffBMDBgzAtddei7vvvhvPP/98bCfVDG0eIjN9+nRMnjwZI0aMwNlnn4358+ejvr4eN910EwBg0qRJyMvLw7x58wAA99xzD8aOHYvnnnsO48aNw7Jly7B582a89tprAABBEDBt2jQ8/vjjKCwsVEJkcnNzMX78+BbNjQhC2OBbTVuhhsZxuklDZaRGVTv0nKxUHp/6labMstbWo+5EFQRm59u1vxpA89qfPz/W0PCXvOP0XPbuNgBAYQ81REny0PE8e6imaehK6xsLiXb6uo5qooTVMAZ7DoTaDeX3iYhN/Adz7S2AeLAJlpeXY8qUKVi5ciUSEkJraG/cuBHnn38+jEb1u1FSUoKnnnoKVVVVSElJCTnmTNDmQvCaa65BRUUFZs2ahbKyMgwZMgRr1qxRHBuHDx+G6PdjGT16NJYuXYqZM2fioYceQmFhIVauXKnECAJUHa+vr8dtt92G6upqnHvuuVizZs0ZjxHkcKJFNO15brc7JAKitSYhQghuvPFG3H777RgxYgQOHjwY0qesrAwFBQUBbfLvvKysrPMKQQC48847ceedd2q+tn79+pC2CRMmYMKECWHHEwQBc+fOxdy5c6M1xdMmrE1Qi2b6EqkFY50hQoKaWwPX/s4I7733XkiY2ezZs/Hoo4+G9H3wwQfx1FNPNTneL7/8gk8++QS1tbWYMWNGNKd6RmgXQpDD4TRNNJfDEydOxIIFCwLaw2mBf/nLX3DjjTc2OWaPHj3w2WefYePGjSHjjBgxAtdffz3efvvtsE5NAGEdoWcCLgRjTDhNSdBq1xlCmsTEZOWxMUv1dqf2zgVAvcNWox4Cy11VmE9rCVcfqFb6VnlCPdH+jLBTM0FqL5pKKyGb3qdkpCp9rF3oskWXQmMKYWJpvWRboC7QSxxw3cG2QK7xtZhoLoeNRiOSk5Ob7wggIyMDGRkZzfZ78cUX8fjjjyvPjx07hpKSEixfvhyjRo0CQJ2aDz/8MDweDwwG+n1Zu3Yt+vTp02ZLYYALQQ6HEwW6du0a8NxqpRmPevbsifx8mpfyj3/8I+bMmYNbbrkFDzzwAHbs2IEFCxbghRdeOOPz9YcLQQ4nDugICRRsNhs++eQTTJ06FcOHD0d6ejpmzZrVpjGCABeCsSfc0s9/6xiDGEK911JimvLY2Guw8jjLTEMQBEsirMn7lW1qvfX0I83co7Vtjoa5iAa6PE1Ip2Mkd6WhMMn9aLU5nZWGyKT3UDNL69KozUaw02WxZE5mcw4MiQkJhwHCL4P5sjhi4i2zdPfu3ZVaNf4MHjwYX33VfE3sMwkXghxOHNARNMH2CheCp4lWEHVLki0oGpN/mzExtM1gUZ9YVQO1kN2HPRABr6otWrrSeMmEC/3z9DHHSEgGZ7kwCHNm6OQEB6yy3FmDlCF8wckPuHbH6SBwIcjhxAFR8w5zjTIELgSjSKT1LQDt3AEeEqpFNfopdHVu9XGNk9rgjHoBh5x6ZRveUQc9oKJeDYupqqcaoFpjhJ48OYGeL91Cj85Jpl+HBAOrYVyvbm+yGGjfRFYcRa6Mpxfl6nLsXuNalbojcVxYriWfbUzOj8iSeEcyDicQLgQ5nDiA1weJHVwINoGcVLU1WkC4VYzW8qbRG/pfX+1UNbpfT6qprbYcqQYApFqNOHK0Wqk7/MlPxwEAx/afVPrWHaMJWF2s7rDOSD26ienU+5vWld4P6089v5nJ9PWDpgpljO6p1JPcM4Xe21mlOgurQ2xiGqJchc6/nrD882UKaEh95njWEDnxDxeCHE4c4CN8KRsruBCMAC2vb6TaoRRGFfRJoe1ejTiIaqdqFDxQpWqCG3ZTLS3LbsapozUwsXrAR36h8YFV+wMTWgacp9EDAKg5QksYNJyk2qPRMhoAkJFGtb09kqoJNhawLXXsPAadbAukzwU2d9lWKPpdt8QslrKWKL8nskaokV2fE0S0lsNckIbChSCHEwdwTTB28KAuDofTqeGaYBM0lVk6UnRaVdbDtMvOBX/SEtSP6KwsNVvvbcNzlcdbt3rUAy6Qk1Ze1sKZhjJs2LBWj8GJDtFbDnN9MhguBDmcOIAvh2MHF4JNYDGbYYmDlPzmaFTK0yAerv1M4XG7m+/EiUu4EORw4gAeLB07uBDkcOIAH6JTppkL0lC4d5jDacdYrVYYIKAcrlaPVQsvGiEpFd44FC4EOZx2jNVqxVlIxreoarVn9ztUoScS0Lt37yjNrmPAhSCH085ZX1eKOviwHw3Ndw5DBVw4iEZ8eviXKM6sY8CFIIfTzklMTMSC1xfjO1TDdxraIAHBt6jCQCShS5cuMZhhfMOFIIcTB9x0003QQcBO1Lb42MNoxCl4sL76cAxmFv9wIcjhxAE6nQ7vrVqJraiBqwXpVSUQbEI1nlrwAmw2WwxnGL9wIcjhxAmXXXYZUmHED6iJ+JjdqIMPBLfffnsMZxbfcCHI4cQJgiDgP1u+xg7UohbeZvt7IGEzavDGig9gNBqb7d9Z4UKQw4kjhg0bhgIk4HtUN9v3RziQBD2uvvrq2E8sjuFCkMOJM9Ye/BkH0IBKhN/P3AAffoQD/2/DOgg8W22TcCHI4cQZ3bp1wwAkNRlAvRnVyIcZY8aMOcOziz+4EORw4pD1VYdQCTeOwBnyWhU8+BX1+Hj3D2d+YnEIF4IcThxit9sxDDZsQhWkIG1wE6rQF1a+PS5CuBDkcOKU9a4yeEHwK+qVtmNw4hic+PzEvjacWXzBhSCHE6cYjUa8vvx9fI9qeCAp2+OGwIaMjIy2nl7cwIUghxPHTJgwAVbosB212IcGNMCH9fWlbT2tuIILQQ4njhEEAf/88lP8gBpsQhVeevN1JCQkNH8gR4FnltaAsBS+DoejjWcSGXV1dTEZN16u/0wgvxckGumdo8x5552HPJhRCy8mTZrU1tOJO7gQ1KC2lmbq4GmHOMHU1ta2y0QEB8jp5xrs7AikPf61tTGSJOHYsWNISko67Wh7h8OBLl264MiRI0hOTo7yDM8cHeE6onENhBDU1tYiNzcXositSB0JrglqIIoi8vPzozJWcnJy3AoPfzrCdbT2GtqjBshpPfwvjcPhdGq4EORwOJ0aLgRjhMlkwuzZs2Eymdp6Kq2iI1xHR7gGTuzgjhEOh9Op4Zogh8Pp1HAhyOFwOjVcCHI4nE4NF4It4F//+hcuueQSpKWlQRAE/PDDDxEdt2LFCvTt2xdmsxmDBg3C6tWrA14nhGDWrFnIycmBxWJBcXEx9uzZE4MrABYuXIju3bvDbDZj1KhR+O677+Jm7gDw5Zdf4re//S1yc3MhCAJWrlzZ7DHr16/HsGHDYDKZ0KtXLyxZsiSkT0vfF04HgnAi5p133iFz5swhr7/+OgFAtm3b1uwxX3/9NdHpdOTpp58mO3fuJDNnziQGg4Fs375d6fPkk08Sm81GVq5cSX788Udy5ZVXkoKCAtLY2BjV+S9btowYjUby5ptvkp9//plMmTKF2O12Ul5e3u7nLrN69Wry8MMPk3/9618EAPnwww+b7L9//36SkJBApk+fTnbu3EleeuklotPpyJo1a5Q+LX1fOB0LLgRPgwMHDkQsBP/whz+QcePGBbSNGjWK/OlPfyKEECJJEsnOzibPPPOM8np1dTUxmUzkgw8+iOq8zz77bDJ16lTluc/nI7m5uWTevHntfu5aRCIE77//fjJgwICAtmuuuYaUlJQoz1v6vnA6Fnw5HGM2btyI4uLigLaSkhJs3LgRAHDgwAGUlZUF9LHZbBg1apTSJxq43W5s2bIl4DyiKKK4uDjsedrL3FtDc9dwOu8Lp2PBhWCMKSsrQ1ZWVkBbVlYWysrKlNfltnB9okFlZSV8Pl+LztNe5t4awl2Dw+FAY2Pjab0vnI4FF4JheP/992G1WpXbV1991dZT4nA4MYBnkQnDlVdeiVGjRinP8/LyTmuc7OxslJeXB7SVl5cjOztbeV1uy8nJCegzZMiQ0zqnFunp6dDpdE3Opb3OvTWEu4bk5GRYLBbodLoWvy+cjgXXBMOQlJSEXr16KTeLxXJa4xQVFWHdunUBbWvXrkVRUREAoKCgANnZ2QF9HA4HNm3apPSJBkajEcOHDw84jyRJWLduXdjztJe5t4bmruF03hdOB6OtPTPxxMmTJ8m2bdvIqlWrCACybNkysm3bNnL8+HGlzw033EAefPBB5fnXX39N9Ho9efbZZ8kvv/xCZs+erRlmYrfbyUcffUR++uknctVVV8UsRMZkMpElS5aQnTt3kttuu43Y7XZSVlbW7ucuU1tbS7Zt20a2bdtGAJDnn3+ebNu2jRw6dIgQQsiDDz5IbrjhBqW/HCJz3333kV9++YUsXLhQM0SmqfeF07HhQrAFvPXWWwRAyG327NlKn7Fjx5LJkycHHPePf/yD9O7dmxiNRjJgwACyatWqgNclSSKPPPIIycrKIiaTiVx88cVk9+7dMbmGl156iXTt2pUYjUZy9tlnk2+//TZu5k4IIZ9//rnmZyDPe/LkyWTs2LEhxwwZMoQYjUbSo0cP8tZbb4WM29T7wunY8CwyHA6nU8NtghwOp1PDhSCHw+nUcCHI4XA6NVwIcjicTg0XghwOp1PDhSCHw+nUcCHI4XA6NVwIcjicTg0Xghy88cYbuOSSS2J+njVr1mDIkCGQJCnm5+JwIoULwU6O0+nEI488gtmzZ8f8XJdeeikMBgPef//9mJ+Lw4kULgQ7Of/85z+RnJyMMWPGnJHz3XjjjXjxxRfPyLk4nEjgQrCDUFFRgezsbDzxxBNK2zfffAOj0RiSSsqfZcuW4be//W1A2wUXXIBp06YFtI0fPx433nij8rx79+54/PHHMWnSJFitVnTr1g3//ve/UVFRgauuugpWqxWDBw/G5s2bA8b57W9/i82bN2Pfvn2nf7EcThThQrCDkJGRgTfffBOPPvooNm/ejNraWtxwww248847cfHFF4c9bsOGDRgxYsRpnfOFF17AmDFjsG3bNowbNw433HADJk2ahIkTJ2Lr1q3o2bMnJk2aBP8cHV27dkVWVhbP1M1pN3Ah2IG4/PLLMWXKFFx//fW4/fbbkZiYiHnz5oXtX11djZqaGuTm5p72+f70pz+hsLAQs2bNgsPhwMiRIzFhwgT07t0bDzzwAH755ZeQrM25ubk4dOjQaZ2Tw4k2XAh2MJ599ll4vV6sWLEC77//PkwmU9i+jY2NAACz2Xxa5xo8eLDyWC5UNGjQoJC2EydOBBxnsVjQ0NBwWufkcKINF4IdjH379uHYsWOQJAkHDx5ssm9aWhoEQUBVVVWz4/p8vpA2g8GgPBYEIWxbcEjMqVOnkJGR0ew5OZwzAReCHQi3242JEyfimmuuwWOPPYZbb701RAvzx2g0on///ti5c2fIa8FL2P3790dljk6nE/v27cPQoUOjMh6H01q4EOxAPPzww6ipqcGLL76IBx54AL1798bNN9/c5DElJSXYsGFDSPtHH32Ef/3rX9i3bx/+9re/YefOnTh06BBKS0tbNcdvv/0WJpOJFzHitBu4EOwgrF+/HvPnz8e7776L5ORkiKKId999F1999RUWLVoU9rhbbrkFq1evRk1NTUD7uHHj8PTTT6N///748ssv8corr+C7777Du+++26p5fvDBB7j++uuRkJDQqnE4nGjBa4xwMGHCBAwbNgwzZswAQOMEhwwZgvnz50f1PJWVlejTpw82b96MgoKCqI7N4ZwuXBPk4JlnnoHVao35eQ4ePIhXXnmFC0BOu4JrgpwQYqUJcjjtES4EORxOp4YvhzkcTqeGC0EOh9Op4UKQw+F0argQ5HA4nRouBDkcTqeGC0EOh9Op4UKQw+F0argQ5HA4nRouBDkcTqfm/wO3O5CRLP/azAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "eme_sim_data.plot_field(\"field\", \"Ex\", eme_port_index=0, mode_index=0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "627c5b85-e3d9-49d8-aff5-d123435ff278",
   "metadata": {},
   "source": [
    "We can plot the transmission as a function of the length of the coupling region."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1c0a52fb-23e3-47ea-8cd4-87bbe62aba16",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "transmission = eme_sim_data_sweep.smatrix.S21.isel(mode_index_in=0, mode_index_out=0, f=0).abs ** 2\n",
    "plt.plot(lengths, transmission)\n",
    "plt.xlabel(\"Coupling region length\")\n",
    "plt.ylabel(\"Transmission\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d54e755b-07c9-42ef-8384-d549ed34d584",
   "metadata": {},
   "source": [
    "## Taper Edge Coupler\n",
    "\n",
    "Next, we look at a taper edge coupler. Using the Tidy3D EME solver, we are able to simulate long tapers and perform length sweeps. See also this [notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/EdgeCoupler/) where this taper and some variants are optimized using FDTD. The function to create the taper geometry is based on the work of [G. Ren et al. (2013)](https://www.sciencedirect.com/science/article/abs/pii/S0030401811006389)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb96ff46-c43a-4668-985c-7247da930c60",
   "metadata": {},
   "source": [
    "### EME Simulation Setup\n",
    "\n",
    "First, we define the materials and geometries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2818c87c-3a74-4a11-9574-cb6ec70b8cd6",
   "metadata": {},
   "outputs": [],
   "source": [
    "wl_c = 1.55  # Central wavelength.\n",
    "freq0 = td.C_0 / wl_c\n",
    "\n",
    "mat_si = td.Medium(permittivity=3.48**2)  # Taper and substrate material.\n",
    "mat_sio2 = td.Medium(permittivity=1.44**2)  # Box and cladding material.\n",
    "mat_air = td.Medium(permittivity=1.00)  # External medium material.\n",
    "\n",
    "taper_l = 5  # Taper length.\n",
    "taper_w_in = 0.19  # Taper tip width.\n",
    "taper_w_out = 0.50  # Taper output width.\n",
    "taper_t = 0.22  # Taper thickness.\n",
    "\n",
    "box_thick = 3.0  # Silicon dioxide box layer.\n",
    "clad_thick = 3.0  # Silicon dioxide layer covering the taper.\n",
    "\n",
    "# Extra space around the taper at x,y directions.\n",
    "pad_x = 1 * wl_c\n",
    "pad_y = 1.5 * wl_c\n",
    "\n",
    "# Large number to be used in replacement of td.inf when necessary.\n",
    "_inf = 1e3\n",
    "\n",
    "\n",
    "def get_taper(\n",
    "    taper_shape=\"linear\",\n",
    "    init_coord=[pad_x, taper_w_in / 2],\n",
    "    end_coord=[pad_x + taper_l, taper_w_out / 2],\n",
    "):\n",
    "    \"\"\"Return a polygon composed of the taper vertices given the desired shape.\"\"\"\n",
    "\n",
    "    x0 = init_coord[0]\n",
    "    x1 = end_coord[0]\n",
    "    y0 = init_coord[1]\n",
    "    y1 = end_coord[1]\n",
    "    x = np.linspace(x0, x1, 41)\n",
    "\n",
    "    tap_name = \"linear_tap\"\n",
    "    if taper_shape == \"quadratic\":\n",
    "        alpha = ((x - x0) / (x1 - x0)) ** 2\n",
    "        tap_name = \"quadratic_tap\"\n",
    "    elif taper_shape == \"exponential\":\n",
    "        alpha = np.expm1((x - x0) / (x1 - x0)) / np.expm1(1)\n",
    "        tap_name = \"exponential_tap\"\n",
    "    elif taper_shape == \"linear\":\n",
    "        alpha = (x - x0) / (x1 - x0)\n",
    "    else:\n",
    "        print(\n",
    "            \"taper_shape is neither 'linear', 'quadratic', or 'exponential'!\\n\"\n",
    "            + \"Linear taper shape returned!\"\n",
    "        )\n",
    "        alpha = (x - x0) / (x1 - x0)\n",
    "\n",
    "    y = y0 + alpha * (y1 - y0)\n",
    "    upper_bound = [[xv, yv] for xv, yv in zip(x, y)] + [[_inf, y1]]\n",
    "    lower_bound = [[_inf, -y1]] + [[xv, -yv] for xv, yv in zip(x[::-1], y[::-1])]\n",
    "    taper_polygon = upper_bound + lower_bound\n",
    "\n",
    "    # Inverted taper structure using a PolySlab.\n",
    "    taper = td.Structure(\n",
    "        geometry=td.PolySlab(\n",
    "            vertices=taper_polygon, axis=2, slab_bounds=(-taper_t / 2, taper_t / 2)\n",
    "        ),\n",
    "        medium=mat_si,\n",
    "        name=tap_name,\n",
    "    )\n",
    "    return taper\n",
    "\n",
    "\n",
    "size_x = taper_l + 2 * pad_x\n",
    "size_y = taper_w_out + 2 * pad_y\n",
    "size_z = box_thick + clad_thick + taper_t\n",
    "\n",
    "# Silicon dioxide box + cladding layers\n",
    "sio2_medium = td.Structure(\n",
    "    geometry=td.Box.from_bounds(rmin=(pad_x, -_inf, -_inf), rmax=(_inf, _inf, _inf)),\n",
    "    medium=mat_sio2,\n",
    ")\n",
    "\n",
    "# Simulation definition\n",
    "taper_poly = get_taper(\n",
    "    \"linear\",\n",
    "    init_coord=[pad_x, taper_w_in / 2],\n",
    "    end_coord=[size_x - pad_x, taper_w_out / 2],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62ae86bf-8241-43fd-aedc-81674b36285e",
   "metadata": {},
   "source": [
    "Now we define the `eme_grid_spec` and `EMESimulation`. We use an `EMEUniformGrid`. It is important to use enough cells that the device profile does not change much in between each pair of cells. It can be necessary to experiment with different EME grids in order to make sure enough cells are used.\n",
    "\n",
    "We set `store_port_modes=False` in the `EMESimulation` to avoid downloading unnecessary data. We also add an `EMEModeSolverMonitor` and an `EMECoefficientMonitor` to help understand the simulation results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "279bfeb9-a7eb-4a25-a5e2-fb1ab6250a8c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "eme_num_modes = 30\n",
    "\n",
    "eme_grid_spec = td.EMEUniformGrid(num_cells=40, mode_spec=td.EMEModeSpec(num_modes=eme_num_modes))\n",
    "\n",
    "eme_mode_mon = td.EMEModeSolverMonitor(\n",
    "    name=\"modes\",\n",
    "    size=(td.inf, td.inf, td.inf),\n",
    "    center=(pad_x, 0, 0),\n",
    "    num_modes=9,\n",
    "    eme_cell_interval_space=40,\n",
    ")\n",
    "\n",
    "eme_coeff_mon = td.EMECoefficientMonitor(\n",
    "    name=\"coeffs\",\n",
    "    size=(td.inf, td.inf, td.inf),\n",
    ")\n",
    "\n",
    "lengths = np.linspace(1, 100, 30)\n",
    "\n",
    "eme_sim = td.EMESimulation(\n",
    "    center=(size_x / 2, 0, 0),\n",
    "    size=(size_x, size_y, size_z),\n",
    "    medium=mat_air,\n",
    "    grid_spec=td.GridSpec.auto(min_steps_per_wvl=15, wavelength=wl_c),\n",
    "    structures=[sio2_medium, taper_poly],\n",
    "    monitors=[eme_mode_mon, eme_coeff_mon],\n",
    "    symmetry=(0, -1, 1),\n",
    "    axis=0,\n",
    "    freqs=[freq0],\n",
    "    eme_grid_spec=eme_grid_spec,\n",
    "    port_offsets=(pad_x, pad_x),\n",
    "    store_port_modes=False,\n",
    "    sweep_spec=td.EMELengthSweep(scale_factors=list(lengths / taper_l)),\n",
    ")\n",
    "\n",
    "eme_sim.plot(z=0, monitor_alpha=0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ca490eb5-3858-40e0-96c5-6edaee072179",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:42:34 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'EME taper'</span> with resource_id                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'eme-08f330f2-7676-402c-96f3-920b217eb653'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'EME'</span>.    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:42:34 UTC\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'EME taper'\u001b[0m with resource_id                          \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'eme-08f330f2-7676-402c-96f3-920b217eb653'\u001b[0m and task_type \u001b[32m'EME'\u001b[0m.    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Tidy3D's EME solver is currently in the beta stage. Cost of EME    \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>simulations is subject to change in the future.                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTidy3D's EME solver is currently in the beta stage. Cost of EME    \n",
       "\u001b[2;36m             \u001b[0msimulations is subject to change in the future.                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "73e5302c28a74eadadf29fa4409b3610",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:42:46 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.425</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:42:46 UTC\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.425\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:42:47 UTC </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:42:47 UTC\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:42:59 UTC </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:42:59 UTC\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "98d71d3320d3433cb8a2c44ee5019421",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:06:11 UTC </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:06:11 UTC\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e244ed2a68ec4151a8040c2a90f83dc6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:06:19 UTC </span>Loading results from simulation_data.hdf5                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:06:19 UTC\u001b[0m\u001b[2;36m \u001b[0mLoading results from simulation_data.hdf5                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "eme_sim_data = web.run(eme_sim, task_name=\"EME taper\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "956be121-c7c5-4685-bbe1-d1498a321b7e",
   "metadata": {},
   "source": [
    "Now we plot the efficiency as a function of the taper length."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5e222d47-5bfc-46b2-805b-05064f73374a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "eff = 20 * np.log10(\n",
    "    (eme_sim_data.smatrix.S21.isel(mode_index_in=0, mode_index_out=0)).abs.squeeze()\n",
    ")\n",
    "plt.plot(lengths, eff)\n",
    "plt.xlabel(\"Length (um)\")\n",
    "plt.ylabel(\"Power (dB)\")\n",
    "plt.title(\"Coupling Efficiency\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a0a56b4-f9b1-4ec7-ad8e-7df882f11755",
   "metadata": {},
   "source": [
    "We can inspect the EME modes, for example at the input port. We see that only one is guided. The remaining modes still contribute to EME propagation, capturing radiative losses and other effects."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a07d8403-ea4b-4ced-9ad1-43e9c862516f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1000x800 with 18 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(3, 3, figsize=(10, 8))\n",
    "for mode_index in range(9):\n",
    "    i = mode_index // 3\n",
    "    j = mode_index % 3\n",
    "    eme_sim_data.plot_field(\n",
    "        \"modes\", \"Ey\", val=\"abs\", eme_cell_index=0, mode_index=mode_index, ax=ax[i][j]\n",
    "    )\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e76e36f3-e142-4d68-bffa-fc917ab70e8f",
   "metadata": {},
   "source": [
    "We can also make a 2D plot of the scattering matrix as a function of cell index and mode index (although note that the coefficients are not normalized). This shows us that the scattering is occurring towards the beginning of the taper. Note that once again, the default behavior of the monitor is to record at `sweep_index=0` (length 1 um)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "87cf0f69-aab3-4660-b752-b053caf4dd27",
   "metadata": {},
   "outputs": [
    {
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       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
       "  );\n",
       "}\n",
       "\n",
       "html[theme=\"dark\"],\n",
       "html[data-theme=\"dark\"],\n",
       "body[data-theme=\"dark\"],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: var(\n",
       "    --jp-content-font-color0,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
       "  );\n",
       "  --xr-font-color2: var(\n",
       "    --jp-content-font-color2,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
       "  );\n",
       "  --xr-font-color3: var(\n",
       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, #111111)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
       "  );\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "  line-height: 1.6;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-obj-name,\n",
       ".xr-group-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-group-name::before {\n",
       "  content: \"📁\";\n",
       "  padding-right: 0.3em;\n",
       "}\n",
       "\n",
       ".xr-group-name,\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "  margin-block-start: 0;\n",
       "  margin-block-end: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "  border: 2px solid transparent !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0) !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-top: 4px;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-group-box {\n",
       "  display: inline-grid;\n",
       "  grid-template-columns: 0px 20px auto;\n",
       "  width: 100%;\n",
       "}\n",
       "\n",
       ".xr-group-box-vline {\n",
       "  grid-column-start: 1;\n",
       "  border-right: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "  width: 0px;\n",
       "}\n",
       "\n",
       ".xr-group-box-hline {\n",
       "  grid-column-start: 2;\n",
       "  grid-row-start: 1;\n",
       "  height: 1em;\n",
       "  width: 20px;\n",
       "  border-bottom: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-group-box-contents {\n",
       "  grid-column-start: 3;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "  border-color: var(--xr-background-color-row-even);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.EMECoefficientDataArray (f: 1, sweep_index: 30, eme_port_index: 2,\n",
       "                                 eme_cell_index: 40, mode_index_out: 30,\n",
       "                                 mode_index_in: 30)&gt; Size: 35MB\n",
       "array([[[[[[ 5.07578458e-01+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j, ...,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j],\n",
       "           [ 0.00000000e+00+0.00000000e+00j,\n",
       "             5.17474452e-01+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j, ...,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j],\n",
       "           [ 0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             5.11685825e-01+0.00000000e+00j, ...,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j],\n",
       "           ...,\n",
       "           [ 0.00000000e+00+0.00000000e+00j,\n",
       "...\n",
       "           ...,\n",
       "           [ 8.29634193e-04+4.35743410e-03j,\n",
       "            -7.95026802e-05-4.88975684e-05j,\n",
       "            -9.85382749e-07-6.18528305e-06j, ...,\n",
       "             2.85631507e-03+5.83792426e-05j,\n",
       "            -1.20398776e-04-5.95629669e-04j,\n",
       "             1.44408708e-03-2.69780066e-04j],\n",
       "           [-3.94960839e-03+3.79850928e-03j,\n",
       "             3.61632542e-05-1.00010473e-04j,\n",
       "            -5.37368171e-06-3.28390440e-06j, ...,\n",
       "             2.10651251e-04-7.41818132e-04j,\n",
       "            -1.27133876e-03-9.46440971e-05j,\n",
       "            -2.49816312e-06-9.77305878e-04j],\n",
       "           [-3.01566380e-03-2.49159624e-03j,\n",
       "             6.85604369e-05+5.28782315e-05j,\n",
       "             1.20167606e-06-2.51642097e-07j, ...,\n",
       "             1.58350686e-03+5.28884408e-04j,\n",
       "             1.18800848e-04-9.59776242e-04j,\n",
       "             3.81642833e-04-1.35008982e-04j]]]]]],\n",
       "      shape=(1, 30, 2, 40, 30, 30))\n",
       "Coordinates:\n",
       "  * f               (f) float64 8B 1.934e+14\n",
       "  * sweep_index     (sweep_index) int64 240B 0 1 2 3 4 5 6 ... 24 25 26 27 28 29\n",
       "  * eme_port_index  (eme_port_index) int64 16B 0 1\n",
       "  * eme_cell_index  (eme_cell_index) int64 320B 0 1 2 3 4 5 ... 35 36 37 38 39\n",
       "  * mode_index_out  (mode_index_out) int64 240B 0 1 2 3 4 5 ... 25 26 27 28 29\n",
       "  * mode_index_in   (mode_index_in) int64 240B 0 1 2 3 4 5 ... 24 25 26 27 28 29\n",
       "Attributes:\n",
       "    long_name:  mode expansion coefficient</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.EMECoefficientDataArray</div><div class='xr-obj-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>f</span>: 1</li><li><span class='xr-has-index'>sweep_index</span>: 30</li><li><span class='xr-has-index'>eme_port_index</span>: 2</li><li><span class='xr-has-index'>eme_cell_index</span>: 40</li><li><span class='xr-has-index'>mode_index_out</span>: 30</li><li><span class='xr-has-index'>mode_index_in</span>: 30</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-071fda70-5726-4ec3-a8dc-045bcb65199e' class='xr-array-in' type='checkbox' checked><label for='section-071fda70-5726-4ec3-a8dc-045bcb65199e' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>(0.507578457624602+0j) ... (0.00038164283280118274-0.00013500898182...</span></div><div class='xr-array-data'><pre>array([[[[[[ 5.07578458e-01+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j, ...,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j],\n",
       "           [ 0.00000000e+00+0.00000000e+00j,\n",
       "             5.17474452e-01+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j, ...,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j],\n",
       "           [ 0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             5.11685825e-01+0.00000000e+00j, ...,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j],\n",
       "           ...,\n",
       "           [ 0.00000000e+00+0.00000000e+00j,\n",
       "...\n",
       "           ...,\n",
       "           [ 8.29634193e-04+4.35743410e-03j,\n",
       "            -7.95026802e-05-4.88975684e-05j,\n",
       "            -9.85382749e-07-6.18528305e-06j, ...,\n",
       "             2.85631507e-03+5.83792426e-05j,\n",
       "            -1.20398776e-04-5.95629669e-04j,\n",
       "             1.44408708e-03-2.69780066e-04j],\n",
       "           [-3.94960839e-03+3.79850928e-03j,\n",
       "             3.61632542e-05-1.00010473e-04j,\n",
       "            -5.37368171e-06-3.28390440e-06j, ...,\n",
       "             2.10651251e-04-7.41818132e-04j,\n",
       "            -1.27133876e-03-9.46440971e-05j,\n",
       "            -2.49816312e-06-9.77305878e-04j],\n",
       "           [-3.01566380e-03-2.49159624e-03j,\n",
       "             6.85604369e-05+5.28782315e-05j,\n",
       "             1.20167606e-06-2.51642097e-07j, ...,\n",
       "             1.58350686e-03+5.28884408e-04j,\n",
       "             1.18800848e-04-9.59776242e-04j,\n",
       "             3.81642833e-04-1.35008982e-04j]]]]]],\n",
       "      shape=(1, 30, 2, 40, 30, 30))</pre></div></div></li><li class='xr-section-item'><input id='section-ca8e6b74-777c-42a7-a6a2-d46cde30a020' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ca8e6b74-777c-42a7-a6a2-d46cde30a020' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>f</span></div><div class='xr-var-dims'>(f)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.934e+14</div><input id='attrs-8f3cef2b-d093-4323-a7a6-586cd83dc974' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f3cef2b-d093-4323-a7a6-586cd83dc974' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f64d684-aebe-48a3-87da-43c416e0bc9a' class='xr-var-data-in' type='checkbox'><label for='data-1f64d684-aebe-48a3-87da-43c416e0bc9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>long_name :</span></dt><dd>frequency</dd></dl></div><div class='xr-var-data'><pre>array([1.934145e+14])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sweep_index</span></div><div class='xr-var-dims'>(sweep_index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 24 25 26 27 28 29</div><input id='attrs-870cba4f-5710-482a-aa8c-cf9e4f00a10f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-870cba4f-5710-482a-aa8c-cf9e4f00a10f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8a546b3-d1a8-4d74-a5eb-5c392cd17f8e' class='xr-var-data-in' type='checkbox'><label for='data-a8a546b3-d1a8-4d74-a5eb-5c392cd17f8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sweep index</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>eme_port_index</span></div><div class='xr-var-dims'>(eme_port_index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-c6e5ea4c-cc59-4d65-9f74-00c0024a8c65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6e5ea4c-cc59-4d65-9f74-00c0024a8c65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a00e355e-d68e-4329-8e5d-0179ca96e599' class='xr-var-data-in' type='checkbox'><label for='data-a00e355e-d68e-4329-8e5d-0179ca96e599' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>EME port index</dd></dl></div><div class='xr-var-data'><pre>array([0, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>eme_cell_index</span></div><div class='xr-var-dims'>(eme_cell_index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 34 35 36 37 38 39</div><input id='attrs-ad8f9dce-5915-492b-abe6-2164ec708f02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad8f9dce-5915-492b-abe6-2164ec708f02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e80f77cc-e7ce-4f3d-bf6e-e968d7957e84' class='xr-var-data-in' type='checkbox'><label for='data-e80f77cc-e7ce-4f3d-bf6e-e968d7957e84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>EME cell index</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>mode_index_out</span></div><div class='xr-var-dims'>(mode_index_out)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 24 25 26 27 28 29</div><input id='attrs-efe1a452-af8a-44e8-a617-c4efcb4b7167' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efe1a452-af8a-44e8-a617-c4efcb4b7167' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4593406-272d-4723-878f-14f12e524399' class='xr-var-data-in' type='checkbox'><label for='data-c4593406-272d-4723-878f-14f12e524399' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mode index out</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>mode_index_in</span></div><div class='xr-var-dims'>(mode_index_in)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 24 25 26 27 28 29</div><input id='attrs-bbccefc7-c93e-4bf4-b970-24237347c481' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbccefc7-c93e-4bf4-b970-24237347c481' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05d0fa25-cad2-4f79-9303-2090e32cbefa' class='xr-var-data-in' type='checkbox'><label for='data-05d0fa25-cad2-4f79-9303-2090e32cbefa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mode index in</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2e91108d-0434-4ab0-a574-f5f312ff5141' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2e91108d-0434-4ab0-a574-f5f312ff5141' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mode expansion coefficient</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.EMECoefficientDataArray (f: 1, sweep_index: 30, eme_port_index: 2,\n",
       "                                 eme_cell_index: 40, mode_index_out: 30,\n",
       "                                 mode_index_in: 30)> Size: 35MB\n",
       "array([[[[[[ 5.07578458e-01+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j, ...,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j],\n",
       "           [ 0.00000000e+00+0.00000000e+00j,\n",
       "             5.17474452e-01+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j, ...,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j],\n",
       "           [ 0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             5.11685825e-01+0.00000000e+00j, ...,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j,\n",
       "             0.00000000e+00+0.00000000e+00j],\n",
       "           ...,\n",
       "           [ 0.00000000e+00+0.00000000e+00j,\n",
       "...\n",
       "           ...,\n",
       "           [ 8.29634193e-04+4.35743410e-03j,\n",
       "            -7.95026802e-05-4.88975684e-05j,\n",
       "            -9.85382749e-07-6.18528305e-06j, ...,\n",
       "             2.85631507e-03+5.83792426e-05j,\n",
       "            -1.20398776e-04-5.95629669e-04j,\n",
       "             1.44408708e-03-2.69780066e-04j],\n",
       "           [-3.94960839e-03+3.79850928e-03j,\n",
       "             3.61632542e-05-1.00010473e-04j,\n",
       "            -5.37368171e-06-3.28390440e-06j, ...,\n",
       "             2.10651251e-04-7.41818132e-04j,\n",
       "            -1.27133876e-03-9.46440971e-05j,\n",
       "            -2.49816312e-06-9.77305878e-04j],\n",
       "           [-3.01566380e-03-2.49159624e-03j,\n",
       "             6.85604369e-05+5.28782315e-05j,\n",
       "             1.20167606e-06-2.51642097e-07j, ...,\n",
       "             1.58350686e-03+5.28884408e-04j,\n",
       "             1.18800848e-04-9.59776242e-04j,\n",
       "             3.81642833e-04-1.35008982e-04j]]]]]],\n",
       "      shape=(1, 30, 2, 40, 30, 30))\n",
       "Coordinates:\n",
       "  * f               (f) float64 8B 1.934e+14\n",
       "  * sweep_index     (sweep_index) int64 240B 0 1 2 3 4 5 6 ... 24 25 26 27 28 29\n",
       "  * eme_port_index  (eme_port_index) int64 16B 0 1\n",
       "  * eme_cell_index  (eme_cell_index) int64 320B 0 1 2 3 4 5 ... 35 36 37 38 39\n",
       "  * mode_index_out  (mode_index_out) int64 240B 0 1 2 3 4 5 ... 25 26 27 28 29\n",
       "  * mode_index_in   (mode_index_in) int64 240B 0 1 2 3 4 5 ... 24 25 26 27 28 29\n",
       "Attributes:\n",
       "    long_name:  mode expansion coefficient"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eme_sim_data[\"coeffs\"].A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e5f5a8e3-5211-4478-b3b8-287d7903a7e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "eme_sim_data[\"coeffs\"].A.sel(mode_index_in=0, eme_port_index=0, sweep_index=0).abs.plot(\n",
    "    x=\"eme_cell_index\"\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9fe3f9a4-fd7a-494d-b0fd-5008be379d6b",
   "metadata": {},
   "source": [
    "## Tips and Tricks"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72b55ef3-1757-4a79-979d-17f7863531cd",
   "metadata": {},
   "source": [
    "### Other Bases\n",
    "\n",
    "By default, the scattering matrix is expressed in the basis of EME modes at the two ports. It is sometimes useful to use alternative bases. For example, in a waveguide splitter, we might want the scattering matrix in the basis of modes of the individual waveguides. The functions `EMESimulationData.smatrix_in_basis` and `EMESimulationData.field_in_basis` can be used for this purpose after the simulation has been run.\n",
    "\n",
    "### Frequency Sweeps\n",
    "\n",
    "Frequency sweeps are supported by including multiple frequencies in the `freqs` field. However, our EME solver repeats the mode solving for each new frequency, so frequency sweeps involving a large number of frequencies can be slow and expensive. If a large number of frequencies are required, consider using our FDTD solver instead.\n",
    "\n",
    "### Passivity and Unitarity Constraints\n",
    "\n",
    "Passivity and unitarity constraints can be imposed via the `constraint` field. These constraints are imposed at interfaces between cells, possibly at the expense of field continuity. Passivity means that the interface can only dissipate energy, and unitarity means the interface will conserve energy (energy may still be dissipated inside cells when the propagation constant is complex). Adding constraints can slow down the simulation significantly, especially for a large number of modes (more than 30 or 40).\n",
    "\n",
    "### Too Many Modes\n",
    "\n",
    "It is important to use enough modes to capture the physics of the device and to ensure that the results have converged (see below). However, using too many modes can slow down the simulation and result in numerical issues. If too many modes are used, it is common to see a warning about invalid modes in the simulation log. While these modes are not included in the EME propagation, this can indicate some other issue with the setup, especially if the results have not converged. In this case, extending the simulation size in the transverse directions and increasing the grid resolution may help by creating more valid modes that can be used in convergence testing.\n",
    "\n",
    "### Mode Convergence Sweeps\n",
    "\n",
    "It is a good idea to check that the number of modes is large enough by running a mode convergence sweep. Here, we check convergence in the previous taper example."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9dbb236f-9eae-4bdc-b462-3dac9c31805f",
   "metadata": {},
   "outputs": [],
   "source": [
    "sweep_spec = td.EMEModeSweep(num_modes=list(np.arange(1, eme_num_modes)))\n",
    "\n",
    "eme_sim = eme_sim.updated_copy(sweep_spec=sweep_spec, monitors=[])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "8fdc29a3-3c63-471f-8e26-0b31397acd35",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:06:22 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'EME taper convergence sweep'</span> with resource_id        \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'eme-47b7d2f2-4905-460f-828e-0c5bd475ce3f'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'EME'</span>.    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:06:22 UTC\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'EME taper convergence sweep'\u001b[0m with resource_id        \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'eme-47b7d2f2-4905-460f-828e-0c5bd475ce3f'\u001b[0m and task_type \u001b[32m'EME'\u001b[0m.    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Tidy3D's EME solver is currently in the beta stage. Cost of EME    \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>simulations is subject to change in the future.                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTidy3D's EME solver is currently in the beta stage. Cost of EME    \n",
       "\u001b[2;36m             \u001b[0msimulations is subject to change in the future.                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3e5e52f5f5a14829b2bbcd8e7f104edd",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:06:34 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.418</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:06:34 UTC\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.418\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:06:36 UTC </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:06:36 UTC\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:06:50 UTC </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:06:50 UTC\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:06:51 UTC </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:06:51 UTC\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9943f0c692f8456fb292578779efc1fb",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:08:20 UTC </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:08:20 UTC\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "01f57be861504879812a3ecd7b6efce0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:08:26 UTC </span>Loading results from simulation_data.hdf5                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:08:26 UTC\u001b[0m\u001b[2;36m \u001b[0mLoading results from simulation_data.hdf5                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "eme_sim_data = web.run(eme_sim, task_name=\"EME taper convergence sweep\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9ea289c-04f3-4e39-8564-58cea2a594be",
   "metadata": {},
   "source": [
    "Now we plot the efficiency versus the number of modes. We can see that the results have converged."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "81b59583-3666-4b71-bd20-0d711f071894",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(20 * np.log10(eme_sim_data.smatrix.S21.isel(mode_index_in=0, mode_index_out=0).abs)).plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7b59a93b-f579-4c1d-ab29-9180af690021",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1c884d13-110e-4a5e-951b-acd96b1b8860",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}