{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7cdbb043",
   "metadata": {},
   "source": [
    "# Interpretable WDM inverse design with CNN integrated gradients\n",
    "\n",
    "**Author: Junho Park, University of Michigan**\n",
    "\n",
    "This notebook demonstrates:\n",
    "\n",
    "1. A **2D Tidy3D adjoint optimization** for a compact SOI-inspired WDM targeting **1310 nm** and **1550 nm**.\n",
    "2. Rasterization of the optimized device into the CNN mask convention: **125 x 125** pixels over a **5 um x 5 um** window.\n",
    "3. Optional CNN Integrated Gradients attribution on the optimized mask. A trained CNN checkpoint is required for this section, but the checkpoint is **not included** with this public notebook.\n",
    "\n",
    "Notes:\n",
    "- The CNN + IG cells are skipped automatically unless `CHECKPOINT_PATH` or `CNN_CHECKPOINT_PATH` points to a compatible trained checkpoint.\n",
    "- The IG maps explain the CNN output, not the Tidy3D adjoint gradient.\n",
    "- The optimization section follows the conventions of the [WDM adjoint optimization](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd9WDM/) example.\n",
    "\n",
    "<img src=\"img/soi_wdm_cnn_ig.png\" width=\"600\" alt=\"Schematic of the optimized WDM device\">\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "42c8b55a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python runtime ready\n",
      "Tidy3D: 2.11.2\n",
      "PyTorch: 2.12.1\n",
      "CUDA available: False\n",
      "Device used for CNN: cpu\n"
     ]
    }
   ],
   "source": [
    "# Imports, runtime status, and global output paths.\n",
    "from __future__ import annotations\n",
    "\n",
    "import os\n",
    "import random\n",
    "from pathlib import Path\n",
    "from typing import Any, Callable, Dict, List, Optional\n",
    "\n",
    "import autograd as ag\n",
    "import autograd.numpy as anp\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "\n",
    "import tidy3d as td\n",
    "import tidy3d.web as web\n",
    "from tidy3d.plugins.autograd import (\n",
    "    make_erosion_dilation_penalty,\n",
    "    make_filter_and_project,\n",
    "    rescale,\n",
    "    smooth_min,\n",
    ")\n",
    "\n",
    "ASSET_DIR = Path(\"assets\")\n",
    "OUT_DIR = Path(\"outputs/wdm_2d_cnn_ig\")\n",
    "FIG_DIR = OUT_DIR / \"figs\"\n",
    "IG_DIR = OUT_DIR / \"ig\"\n",
    "for p in (ASSET_DIR, OUT_DIR, FIG_DIR, IG_DIR):\n",
    "    p.mkdir(parents=True, exist_ok=True)\n",
    "\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "print(\"Python runtime ready\")\n",
    "print(\"Tidy3D:\", getattr(td, \"__version__\", \"unknown\"))\n",
    "print(\"PyTorch:\", torch.__version__)\n",
    "print(\"CUDA available:\", torch.cuda.is_available())\n",
    "if torch.cuda.is_available():\n",
    "    print(\"CUDA device:\", torch.cuda.get_device_name(0))\n",
    "print(\"Device used for CNN:\", device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2756f446",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "A trained CNN checkpoint is required for the CNN + IG section but is not included.\n",
      "The displayed CNN/IG outputs were generated during validation using a private compatible checkpoint.\n",
      "Set CNN_CHECKPOINT_PATH or edit CHECKPOINT_PATH to reproduce the CNN/IG cells with your own checkpoint.\n"
     ]
    }
   ],
   "source": [
    "# Optional trained CNN checkpoint for the CNN + IG section.\n",
    "# A trained CNN checkpoint is required for CNN prediction and Integrated Gradients,\n",
    "# but it is not included with this public notebook.\n",
    "#\n",
    "# To enable the CNN + IG cells, provide your own compatible checkpoint by either:\n",
    "#   1. setting CNN_CHECKPOINT_PATH, or\n",
    "#   2. changing CHECKPOINT_PATH below.\n",
    "CHECKPOINT_PATH = Path(\n",
    "    os.environ.get(\"CNN_CHECKPOINT_PATH\", \"your_trained_cnn_checkpoint.pt\")\n",
    ")\n",
    "RUN_CNN_IG = CHECKPOINT_PATH.exists()\n",
    "\n",
    "if RUN_CNN_IG:\n",
    "    print(\n",
    "        f\"Using CNN checkpoint: {CHECKPOINT_PATH} ({CHECKPOINT_PATH.stat().st_size:,} bytes)\"\n",
    "    )\n",
    "else:\n",
    "    print(\n",
    "        \"A trained CNN checkpoint is required for the CNN + IG section but is not included.\"\n",
    "    )\n",
    "    print(\n",
    "        \"Set CNN_CHECKPOINT_PATH or edit CHECKPOINT_PATH to point to your own compatible checkpoint.\"\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aead1de2",
   "metadata": {},
   "source": [
    "## CNN Checkpoint\n",
    "\n",
    "A trained CNN checkpoint is required for the CNN prediction and Integrated Gradients cells, but the checkpoint is not included in this public notebook. The Tidy3D optimization and mask-rasterization cells can still run without it.\n",
    "\n",
    "If you are viewing the executed version of this notebook, the CNN/IG output cells were generated during validation using a private compatible checkpoint. Re-running the notebook without providing your own checkpoint will skip those CNN/IG cells.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d376aad0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SmallCNN architecture is defined.\n",
      "A private compatible checkpoint was used only to generate the saved CNN/IG outputs; model weights are not included.\n"
     ]
    }
   ],
   "source": [
    "# CNN definition and optional checkpoint load.\n",
    "# The architecture is included so the IG workflow is clear, but model weights are not included.\n",
    "class SmallCNN(nn.Module):\n",
    "    def __init__(self):\n",
    "        super().__init__()\n",
    "        self.net = nn.Sequential(\n",
    "            nn.Conv2d(1, 16, 3, padding=1),\n",
    "            nn.ReLU(),\n",
    "            nn.Conv2d(16, 16, 3, padding=1),\n",
    "            nn.ReLU(),\n",
    "            nn.MaxPool2d(2),\n",
    "            nn.Conv2d(16, 32, 3, padding=1),\n",
    "            nn.ReLU(),\n",
    "            nn.Conv2d(32, 32, 3, padding=1),\n",
    "            nn.ReLU(),\n",
    "            nn.MaxPool2d(2),\n",
    "            nn.Conv2d(32, 64, 3, padding=1),\n",
    "            nn.ReLU(),\n",
    "            nn.Conv2d(64, 64, 3, padding=1),\n",
    "            nn.ReLU(),\n",
    "        )\n",
    "        self.head = nn.AdaptiveAvgPool2d(1)\n",
    "        self.fc = nn.Linear(64, 1)\n",
    "\n",
    "    def forward(self, x):\n",
    "        z = self.net(x)\n",
    "        z = self.head(z).squeeze(-1).squeeze(-1)\n",
    "        return self.fc(z)\n",
    "\n",
    "\n",
    "def load_state_dict(path: Path):\n",
    "    try:\n",
    "        return torch.load(path, map_location=device, weights_only=True)\n",
    "    except TypeError:\n",
    "        return torch.load(path, map_location=device)\n",
    "\n",
    "\n",
    "def to_bchw_1ch(x_np, device=device):\n",
    "    x = torch.as_tensor(x_np, dtype=torch.float32)\n",
    "    if x.ndim == 2:\n",
    "        x = x.unsqueeze(0).unsqueeze(0)\n",
    "    elif x.ndim == 3:\n",
    "        x = x.unsqueeze(0)\n",
    "    elif x.ndim == 4:\n",
    "        pass\n",
    "    else:\n",
    "        raise ValueError(f\"Unexpected input shape: {tuple(x.shape)}\")\n",
    "    mx = torch.max(x)\n",
    "    if mx > 0:\n",
    "        x = x / mx\n",
    "    return x.to(device)\n",
    "\n",
    "\n",
    "model = SmallCNN().to(device)\n",
    "if RUN_CNN_IG:\n",
    "    state = load_state_dict(CHECKPOINT_PATH)\n",
    "    missing, unexpected = model.load_state_dict(state, strict=False)\n",
    "    print(\"Missing checkpoint keys:\", missing)\n",
    "    print(\"Unexpected checkpoint keys:\", unexpected)\n",
    "    assert not missing and not unexpected, \"Checkpoint does not match SmallCNN.\"\n",
    "    model.eval()\n",
    "    print(\"SmallCNN parameters:\", sum(p.numel() for p in model.parameters()))\n",
    "else:\n",
    "    model.eval()\n",
    "    print(\"SmallCNN architecture is defined, but no trained weights were loaded.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61b49532",
   "metadata": {},
   "source": [
    "## 2D Tidy3D WDM Setup\n",
    "\n",
    "The next cells build the static [`Simulation`](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Simulation.html) — input/output waveguides, a [`ModeSource`](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.ModeSource.html), and per-port [`ModeMonitor`](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.ModeMonitor.html) — following the 2D conventions of the [WDM adjoint optimization](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd9WDM/) example, adapted to a two-channel SOI WDM:\n",
    "\n",
    "- final CNN raster window: `5 um x 5 um`\n",
    "- CNN pixel size: `40 nm`, giving `125 x 125` pixels\n",
    "- design region: `2 um x 2 um`\n",
    "- wavelengths: `1310 nm` and `1550 nm`\n",
    "- 2D Tidy3D setup: `lz = td.inf`, `Lz = 0.0`, mode planes extend through `z`, and the z boundary is disabled.\n",
    "\n",
    "The `power1300` metadata column is treated only as a label typo; all physics below uses 1310 nm.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "742c992b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization grid: 50 x 50, design pixel = 40 nm\n",
      "CNN raster: 125 x 125, pixel = 40 nm\n",
      "Wavelengths: ['1310 nm', '1550 nm']\n",
      "Tidy3D dimensionality check: Lz = 0.0 , lz = td.inf\n"
     ]
    }
   ],
   "source": [
    "# Main design/runtime configuration.\n",
    "RANDOM_SEED = 7\n",
    "NUM_OPT_STEPS = 25  # Increase for a better final device; reduce for a faster demo.\n",
    "LEARNING_RATE = 0.10\n",
    "BETA_MIN = 1.0\n",
    "BETA_MAX = 50.0\n",
    "PENALTY_WEIGHT = 1.0\n",
    "LEAK_WEIGHT_START = 0.0\n",
    "LEAK_WEIGHT_END = 1.0\n",
    "\n",
    "# 2D WDM material constants, matching the Flexcompute 2D example style.\n",
    "# In the 2D example, SiO2 is documented but not used as a substrate/background.\n",
    "n_si = 3.49\n",
    "n_sio2 = 1.45  # not used in this 2D simulation\n",
    "n_air = 1.0\n",
    "\n",
    "# Physical WDM target wavelengths in microns.\n",
    "wvls_design = np.array([1.310, 1.550])\n",
    "channel_names = [\"1310 nm\", \"1550 nm\"]\n",
    "\n",
    "# Geometry.\n",
    "lx = 2.0  # design region x span, um\n",
    "ly = 2.0  # design region y span, um\n",
    "ly_single = ly / len(wvls_design)\n",
    "lz = td.inf  # official 2D convention: structures are infinite in z\n",
    "wg_width = 0.50  # waveguide width, um\n",
    "wg_length = 1.50  # straight port length on each side, um\n",
    "output_port_separation = 1.10  # center-to-center output spacing, um\n",
    "cnn_span = 5.0  # final CNN raster window, um\n",
    "cnn_pixels = 125  # 5 um / 0.04 um = 125\n",
    "cnn_pixel_um = cnn_span / cnn_pixels\n",
    "\n",
    "# Optimization grid. This matches the CNN pixel pitch inside the 2 um design region.\n",
    "dl_design_region = 0.040\n",
    "nx = int(round(lx / dl_design_region))\n",
    "ny = int(round(ly / dl_design_region))\n",
    "assert nx == 50 and ny == 50\n",
    "\n",
    "# Fabrication-style smoothness constraint.\n",
    "filter_radius = 0.100\n",
    "beta_penalty = 10.0\n",
    "\n",
    "# Simulation domain. z-size 0 means a 2D simulation.\n",
    "Lx = lx + wg_length * 2\n",
    "Ly = ly + (cnn_span - lx)  # 2 um design + 1.5 um top/bottom buffers = 5 um\n",
    "Lz = 0.0\n",
    "assert abs(Lx - cnn_span) < 1e-12 and abs(Ly - cnn_span) < 1e-12\n",
    "min_steps_per_wvl = 18\n",
    "\n",
    "np.random.seed(RANDOM_SEED)\n",
    "random.seed(RANDOM_SEED)\n",
    "print(\n",
    "    f\"Optimization grid: {nx} x {ny}, design pixel = {dl_design_region * 1000:.0f} nm\"\n",
    ")\n",
    "print(f\"CNN raster: {cnn_pixels} x {cnn_pixels}, pixel = {cnn_pixel_um * 1000:.0f} nm\")\n",
    "print(\"Wavelengths:\", [f\"{w * 1000:.0f} nm\" for w in wvls_design])\n",
    "print(\"Tidy3D dimensionality check: Lz =\", Lz, \", lz = td.inf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "63329bb9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2D simulation built:\n",
      "  sim size = (5.0, 5.0, 0.0)\n",
      "  mode_size = (0, 0.9, inf)\n",
      "  centers_y = [-0.55  0.55]\n",
      "  boundary_spec = BoundarySpec(\n",
      "    x=Boundary(\n",
      "        plus=PML(\n",
      "            name=None,\n",
      "            num_layers=12,\n",
      "            parameters=PMLParams(\n",
      "                sigma_order=3,\n",
      "                sigma_min=0.0,\n",
      "                sigma_max=1.5,\n",
      "                kappa_order=3,\n",
      "                kappa_min=1.0,\n",
      "                kappa_max=3.0,\n",
      "                alpha_order=1,\n",
      "                alpha_min=0.0,\n",
      "                alpha_max=0.0\n",
      "            ),\n",
      "            extrude_structures=True\n",
      "        ),\n",
      "        minus=PML(\n",
      "            name=None,\n",
      "            num_layers=12,\n",
      "            parameters=PMLParams(\n",
      "                sigma_order=3,\n",
      "                sigma_min=0.0,\n",
      "                sigma_max=1.5,\n",
      "                kappa_order=3,\n",
      "                kappa_min=1.0,\n",
      "                kappa_max=3.0,\n",
      "                alpha_order=1,\n",
      "                alpha_min=0.0,\n",
      "                alpha_max=0.0\n",
      "            ),\n",
      "            extrude_structures=True\n",
      "        )\n",
      "    ),\n",
      "    y=Boundary(\n",
      "        plus=PML(\n",
      "            name=None,\n",
      "            num_layers=12,\n",
      "            parameters=PMLParams(\n",
      "                sigma_order=3,\n",
      "                sigma_min=0.0,\n",
      "                sigma_max=1.5,\n",
      "                kappa_order=3,\n",
      "                kappa_min=1.0,\n",
      "                kappa_max=3.0,\n",
      "                alpha_order=1,\n",
      "                alpha_min=0.0,\n",
      "                alpha_max=0.0\n",
      "            ),\n",
      "            extrude_structures=True\n",
      "        ),\n",
      "        minus=PML(\n",
      "            name=None,\n",
      "            num_layers=12,\n",
      "            parameters=PMLParams(\n",
      "                sigma_order=3,\n",
      "                sigma_min=0.0,\n",
      "                sigma_max=1.5,\n",
      "                kappa_order=3,\n",
      "                kappa_min=1.0,\n",
      "                kappa_max=3.0,\n",
      "                alpha_order=1,\n",
      "                alpha_min=0.0,\n",
      "                alpha_max=0.0\n",
      "            ),\n",
      "            extrude_structures=True\n",
      "        )\n",
      "    ),\n",
      "    z=Boundary(plus=Periodic(name=None), minus=Periodic(name=None))\n",
      ")\n"
     ]
    }
   ],
   "source": [
    "# Build the static 2D Tidy3D WDM simulation: ports, monitors, source.\n",
    "freqs_design = td.C_0 / wvls_design\n",
    "num_freqs_design = len(freqs_design)\n",
    "freq_max = np.max(freqs_design)\n",
    "freq_min = np.min(freqs_design)\n",
    "freq0 = np.mean(freqs_design)\n",
    "df_design = abs(np.mean(np.diff(freqs_design)))\n",
    "fwidth = freq_max - freq_min\n",
    "run_time = 120 / fwidth\n",
    "\n",
    "channel_fwidth = df_design / 2.0\n",
    "channel_bounds = [\n",
    "    (f - channel_fwidth / 2, f + channel_fwidth / 2) for f in freqs_design\n",
    "]\n",
    "num_freqs_channel = 5\n",
    "channel_freqs = []\n",
    "for fmin, fmax in channel_bounds:\n",
    "    channel_freqs.extend(np.linspace(fmin, fmax, num_freqs_channel).tolist())\n",
    "\n",
    "medium_si = td.Medium(permittivity=n_si**2)\n",
    "\n",
    "if num_freqs_design == 2:\n",
    "    centers_y = np.array([-output_port_separation / 2, output_port_separation / 2])\n",
    "else:\n",
    "    centers_y = np.linspace(\n",
    "        -ly / 2.0 + ly_single / 2.0, +ly / 2.0 - ly_single / 2.0, num_freqs_design\n",
    "    )\n",
    "\n",
    "# Official 2D convention: structures have size td.inf in z while the simulation has Lz = 0.\n",
    "wg_in = td.Structure(\n",
    "    geometry=td.Box(center=(-Lx / 2, 0, 0), size=(wg_length * 2, wg_width, lz)),\n",
    "    medium=medium_si,\n",
    ")\n",
    "\n",
    "wgs_out = []\n",
    "for cy in centers_y:\n",
    "    wgs_out.append(\n",
    "        td.Structure(\n",
    "            geometry=td.Box(\n",
    "                center=(+Lx / 2, cy, 0), size=(wg_length * 2, wg_width, lz)\n",
    "            ),\n",
    "            medium=medium_si,\n",
    "        )\n",
    "    )\n",
    "\n",
    "mode_span_y = max(0.9 * ly_single, 1.8 * wg_width)\n",
    "mode_size = (0, mode_span_y, td.inf)\n",
    "mode_spec = td.ModeSpec(num_modes=1)\n",
    "\n",
    "mode_src = td.ModeSource(\n",
    "    center=(-Lx / 2 + wg_length / 2, 0, 0),\n",
    "    size=mode_size,\n",
    "    source_time=td.GaussianPulse(freq0=freq0, fwidth=fwidth),\n",
    "    direction=\"+\",\n",
    "    mode_index=0,\n",
    "    mode_spec=mode_spec,\n",
    ")\n",
    "\n",
    "mnts_mode = []\n",
    "mnts_flux = []\n",
    "for i, cy in enumerate(centers_y):\n",
    "    mnts_mode.append(\n",
    "        td.ModeMonitor(\n",
    "            center=(Lx / 2 - wg_length / 2, cy, 0),\n",
    "            size=mode_size,\n",
    "            freqs=channel_freqs,\n",
    "            mode_spec=mode_spec,\n",
    "            name=f\"mode_{i}\",\n",
    "        )\n",
    "    )\n",
    "    mnts_flux.append(\n",
    "        td.FluxMonitor(\n",
    "            center=(Lx / 2 - wg_length / 2, cy, 0),\n",
    "            size=mode_size,\n",
    "            freqs=channel_freqs,\n",
    "            name=f\"flux_{i}\",\n",
    "        )\n",
    "    )\n",
    "\n",
    "fld_mnt = td.FieldMonitor(\n",
    "    center=(0, 0, 0), size=(td.inf, td.inf, 0), freqs=freqs_design, name=\"field\"\n",
    ")\n",
    "\n",
    "sim_static = td.Simulation(\n",
    "    size=(Lx, Ly, Lz),\n",
    "    grid_spec=td.GridSpec.auto(\n",
    "        min_steps_per_wvl=min_steps_per_wvl, wavelength=np.min(wvls_design)\n",
    "    ),\n",
    "    structures=[wg_in] + wgs_out,\n",
    "    sources=[mode_src],\n",
    "    monitors=mnts_mode + mnts_flux + [fld_mnt],\n",
    "    boundary_spec=td.BoundarySpec.pml(x=True, y=True, z=True if Lz else False),\n",
    "    run_time=run_time,\n",
    ")\n",
    "\n",
    "print(\"2D simulation built:\")\n",
    "print(\"  sim size =\", sim_static.size)\n",
    "print(\"  mode_size =\", mode_size)\n",
    "print(\"  centers_y =\", centers_y)\n",
    "print(\"  boundary_spec =\", sim_static.boundary_spec)\n",
    "\n",
    "fig, ax = plt.subplots(1, 1, figsize=(6, 5), dpi=150)\n",
    "sim_static.plot_eps(z=0, ax=ax)\n",
    "ax.set_aspect(\"equal\")\n",
    "ax.set_title(\"Static 2D simulation: input/output ports\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "20d86d60",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABOsAAAJmCAYAAAANYgR4AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjExLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlcelbwAAAAlwSFlzAAAaJQAAGiUBh+i34AAAgclJREFUeJzt3Qm4jOXj//GZMzNnP/akTZJWRUR7qRShECppE0mlaNGqVJIWJJVskTYVivakfd932ouKCsXZz5n1f93zv8YlOXxunjvP99f7dV2ub329u88zzzbPueeZmWAqlUoFAAAAAAAAAGxxWVt6AQAAAAAAAAD8f0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE+EtvQCA8ccffwTeeeed9D+3a9cuULduXV+MtSV/BgAAAPznySefDCSTycCuu+4a2HPPPX0z1r/1M5YtWxb4+uuvA6WlpYFUKhWoX79+4NBDDw2Ul5cHFixYkG5atWoV2HHHHZ0vy/9VixYtCnz77beBrKysQNeuXf/P/Kwt6dNPPw0sXrw4kJubGzjmmGO29OIAGxVMmTMsUIPi4uLAK6+8kv7npk2bBlq0aOFkXT399NOB4447Lv3PZhLsgAMO8MVYW/JnAAAAQPfCCy8EKioqAnl5eYGOHTs6W3XhcDiQSCQCl19+eeDmm2/2zViuf8Yvv/wS6N+//5oJuYyDDz448Oabbwa+//77wC677JL+/6ZOnRo466yznC3L/3VXXHFF4JZbbgmEQqFAPB7/P/OztiSzP06bNi2w9dZbB37//fctvTjARnFnHTbop59+Chx//PHpfx40aFDgrrvu2iJrbOnSpYEPPvgg/c9HHHFEoHbt2ltkOYD/Eo47AMD/krPPPjuwZMmSwHbbbRf49ddft8gymLvGzN1jxu67757+83+BmWDr3Llz4Msvv0z/e+vWrdPr2dyN5dUdcv9X1x3+N3z44Yfp80Z+fn6gQ4cOW3pxACbr4A+NGjUKdOvWLf3P9erV+8ffv/HGG4GTTz45/c+ffPJJYJ999tnksQBobI47AAD+K8x1ppm8at68+T/+LhqNrnmh+9prrw1cd911mzyWn5i76TITdebupH79+v2jKSwsXHMN3qRJE+ufYbvuABvmrdlm/6zp44vGjBkTePTRR9Nv3zZvlwW2NO6sgy+0adMmMG/ePN+NBQAAAKztscce8+VYLr333ntr/jnzQt76XjDnGhx+Zd4lZv4A/yv4NlgAAAAAQI3++uuv9P8WFBSkPxMQAOAWd9Zhs5jPBTFvjzOOPvro9BO4sXLlysBXX30VqKysDOy0005rPmzW9ttVM19wYT5DIMP8+7q3JpvPzWjcuPEGx1of861V5sNyf/vtt0B1dXW6NW9DMLfxb6l19+eff6a/kWnFihXpdbf33nt7stxmnZh1Y1qzXtZlvmvGfE5I5jtnzBdomA+aXdfrr7+evmDbaqut0h8o7MVjNo/DPGbzobbNmjVb77eHeb0N/+31v6GfaT7k1vxMs+7N576YdVvTZ8h999136bfLmOVq2LChuJb+//Y139xmvsHN/Pfbb799YI899ggEg8F/tJty3G3Oz/Nim2TWjdk25u3v22yzTfpnmg+yBgDAvMXy2WefTa+IvfbaK329YVRVVQUWLlwYWL58efr5t2XLloFIJLLBFVbTN5qaL7gwz6EZ5nlw3TvNzPPT/vvvv9Gx1mWukcznaZlrD3MdVlRUlL6+NuO5lFk+8+URhnlOV+6eq+nbYGuyKetuXeaa44cffkh/S22DBg3SX4xnvvnTdp8w13bm9xgznrmOqOnzy8zvOWbfMb/3mAlMsz223XZb+TGbbfrZZ5+l9z3zpQfmOsnVRKiXP2tTHve7776bvt6tVatW4Mgjj1zz/5v9ynxGujnmzDYw201h9sNvvvkmff1n/tk8JrN/mLs7bb8N1uxr5o8ZyzBfUrO+fbxLly7p36Uy18dmX9zY8WeOVfO7k2HOLeY6FpCZb4MFavLJJ5+YmZv0n0GDBv3j76dOnbrm77/77rvUn3/+merTp08qHA6v+f/Nn7322iv15ptv1vhznnrqqTXtO++8s96fv6E/995770bHyigrK0uNGDEiddBBB6VCodA/xsrKykp16NAh9d5771kvr411191vv/2W6tWr19/W3ZAhQzxb7osvvjjdFRUVpWKx2D/+ft11/e677/6jicfjqdq1a/9j2Tb1Mf/888+pzp07p4LB4N9+dtu2bVNvvfVWjeN4sQ3/7fW/vp+5bNmyVNeuXdP/beb/N2OfddZZqYqKijX/3RdffJE66qij/vHzTj311PRybchff/2Vuvzyy1NbbbXVP5Z52223TY0fPz69Xde2Kcfd5vy8Td0mxiOPPJJq3rz5epevTp06qdNPPz312WefbXAdAQD+b9hxxx3T5//tttvuH3+3YsWKNc8Po0ePTiWTydQtt9ySql+//j+eO26//fYN/pzMdYB5vlvfz9/Qn27dukljZTz00EOp7t27p6/f1jfe7rvvnn7+3JTlVazvmkf5U9MyebnuDLMdZ8yYkf5dY90+Pz8/NWDAgNTy5cvXuyzr7hPm+uTaa6/92z5hlmtd5rri+OOPT+Xk5PzjZ+6///6pV199dYPr1FyH33TTTal69er97b81/z5y5Mj0YzLrJ3NduDm8/Fmb87i7dOmS7sw1m2F+f2rTps0/rm179uxZ4/YyzPXxlVdemWrQoMF695FddtkldcUVV6RKSkr+8d/2798/3Wy99dZ/+//NNlf26VWrVqWWLl265rp0fb8br2v48OFr/vuvvvpqoz2wNm45gGfMqyudOnVKv6JlXskyr7CYu4/Mh9GaP0cddVT6a9333XdfeUzzra/mg0DNKx2ZVzEOP/zwf3wbbE1396yPeUVy+PDh6X82r96Y5TSvwphXiX7++ef03T3m1b2XX345/SGjPXr0CLhmHt8pp5ySfgXPrDvz6pB59cu8kunVcps7lW677bb0q43m1a1DDjnkb3//4osv/uODhNd99dJ8I2/mVU+zPTeHeXXYfOaJeYXKvPpqHvOPP/6YfpXM/ByznWfNmhXo3r278234b6z/dZlXF83jN//btm3b9N1gX3zxRXq93HPPPemf9/TTT6c/I6Zjx47pn3PQQQelX5E0rwya/+7BBx9MH3fPPffcen/GokWL0q8CZu6IM3cAmnVtXiU2d7CZxztkyJD0F0k8/PDDa+5C29TjblN/3qZuE/NBwJdeemn6n81doOaOO9OZdWX+e3P+uf/++9OvHpsxAADIMF+QMGPGjMAOO+yQ/rxjczeNec5dvXp14MILLwyUlZUFhg0bZrXCzB1Y5vn5qaeeSv/7brvt9o9vNN3QnWHrM2rUqPRdTOYbKs3dd+ZOnuzs7PR1grn7y9wRNGDAgPQ7KMwXP3gt8wUYn3/+efoOKPN8e+yxx663NXe3r3s96XLdmed7cy31xBNPpP/d3J1lrjvq16+fvhYx62fq1KnpZXrppZc2eldTr1690ndUmTvzzfKYawlz3bw2s88MHDgwfVee0bRp0/R2MfuLuX41+5C5c2zKlCmB/v37/+NnmHV5wgknrLlzy9zlZa4DzR1q5jrw6quvTt9tZq5nNpeXP2tzH/fa5s+fn96vzL506KGHpt9Jkbm2NZ/haN5N8f777//jrkjzeMwdcZk71cw1sbkb1VxvmndhZN5lcfPNNwfOOOMM+duETWeWx1zzmjHM+lnf3ZRm/zLX/+ZLUGbPnh144IEHArfccsuad4Ks725Gc01vmHc18e3GsPa3qTtgM+6s23vvvVOtWrX6x6sGTzzxRCo7OzvdHHLIIZt0p9rDDz+85u/NMm3Ixsb6/fff03dIff755+v9780dZZlXesyrq6tXr7b+GYq1190ee+yRatGiRWrhwoV/eyVs7bsRN3e5y8vL12wH8yrPusxdYebvttlmm/T/tmvX7h+N+fnm7yKRyHpfsbJ5zOaV4D333PNvj9l4+eWX17xaZl5F/umnn5xsw397/a/7M81jP/jgg1OLFy9e8/fmFV1z51immTVrVqpp06bpuw/Nz8+orq5O3zGW6Z555pl//KyVK1eueZXabC9zR1s0Gv3b47vhhhvWjHH99ddv1nHnxc+z2Sbm1c3MK7uHH354+i68dZl99IEHHkg9++yzG1x2AMB/6846c81qrjFmz579t8Y8J++2225rnsvMHfC2d6pVVlau+Tnmjp2N2dhdb+buv/nz5//tOTXj119/TZ1zzjlrft68efM26WcozO8BZoyCgoIaG3NX/KbeWbcp6868wyDT9+7dO/XHH3/87e9feumlNXeUmXdtrPvOkrX3CXPdYe7Ee/TRR//WvPLKK2v+2WyHzLshzL72+uuv/60112qZ62lz99WHH374j2W+8cYb1/xMc5eaeVdShrnLbcKECel1ZJZnc++s8+pnefG4M3fWmd8zzHX+2WefnSouLl7z92b/Pv/889cs75gxY/4xxsyZM9f8/XXXXZeqqqr6R/Pjjz+mbr755vQdcOqddRknnXRSjXdTrs3cQZhZjilTptTYzZkzZ01nlh2wxWQdPJusMyc+86S3PoMHD17TLVmyZItO1inMxZm5SDNjTJ8+3cnPWHvdmbeW1nRB6OVym0kN83cHHnjg3/5/M/ljLlDM302cODH9v2Zib923WB522GEbnHS1ecyFhYXr3RfWfRI0T+Yu1sWWWP9r/0zzltD1TeiZi5XMhKkZy0zqre9ipLS0NL0OTXfaaaf94+8vvPDCNT9r2rRpG734zsvL+9tFnO1x58XPs9kmL7744mYfgwCA/+ZknfljruXWx7xomGnMC09berJOYa7LzBjmozX+K5N1a18r1vS4jQULFqzpzHXNhvaJDU2omBdUmzVrlu5q1aqVnhSq6W2ama5jx47/eBEx83bm1q1br/djaYxRo0atWaZNnazz6md58bjXnqwzf3r06LHeMcwymhepTWNuAFlXZjKvpsm2jfFqss7IfASLWbc1yXyEjZmcXN+1PLAxfBssPHPeeefV+KGga78l8OOPP/bNWjcT1uatl6+++mr6tntzm7j5Y27lNm9LND766KN/5a0YNh8QvKnLbd4Ka5hby9f+EN+33nor/faPOnXqBM4666z0FxeY29xfe+21v721wbx91ou3wBpnnnlmjW9fNreKm7ddGo888sjf3vroYhv+W+t/3eNl3beVZm6xz6zfWCwWuOSSSwI5OTn/6MyXWZi3DqzvmDK33WfeCmM+rNc8vppcddVV6S99MG8lmTNnTmBTuPh5G9sma+8T5q3UAACozFsla3orp7n+yHw5mZ+uWQ3z0Rdvv/12+uMvMtce5s+/ec3qF5MnT17zz2PHjq2xM9dUmbfPmo/GqIl5W2fv3r1r/HvzNtrMl2wMHjy4xrfUmrdQmms3w3w8ytrXKObjTTJvqzVvsa7p40DM27DXd41ow6uf5cXjXte111673v/fLGPXrl3T/2zepmuug9d37WeuIUtKSgJb0qBBg9acI8zbgNdl1plZd0bfvn3Xey0PbAyfWQfPHHHEERt8Asww30K0pZlvlRw5cmRg5syZ6QufDTGfgeDa2t+K5HK5zQWLecI2n/lgvt0z83lw5vPpMtvQPFGa5TGTZOYzPjp37pz+OzNxl/mcCi8m6zIThxv6ezMZZp6MzWeOmG9bdbUN/631v7bDDjusxr9bexIzMyG3oW7dY8pcrGcu0MznamyI+ewN87kw5jNvzOfdnH322QFbLn7exraJ+Xwhc2FoLtjMRdBll12W/qyZjX3zNAAAG7pmNS8omQmJVatW+eKa1VyzmYmpu+++O/3ZdVv6mtUvzHWsYT6vNvMtrhva3uYFVXPdsaFmQ99Yn/l5yrVOZv8yL+6aF7rN56EZmRe9zc9p3759jf+9ub4x139mwm1TefWzvHjcazMTyxv6HOHM74zmhWBzDJobCNa+djbHgfndwPyz+dxi83npmcnqf9Npp50WuOKKK9LLMnHixPRnAa5t0qRJ6fVgmM+UBDYFk3XwzNon03Wt/dXg5pfrLcl8AYa5cyvz9dzmlQ4zeWA+XNUsZ+aJ2rwaYj40dd1XdVxQvtrei+U2Exzm1WLz5Gcm6DKTdZkPA85MoJn/NZN1mUm8tZuioiLrD0denyZNmsjrxHzg7NqTdV5vw39r/avHy9ofqKt06x5T5osV1r4jMnMBlrloyPxv5p8zr7aaL7fYFC5+3sa2idmPzRemmFc2zYeBmzv2zB/zpR8HHnhg+iLOXFQq2xYA8N+yoefWta9bt/Q1q5moMxMezzzzTPrfzbWGmcwwX4phPtQ+83xqvuDJfLD+v3HN6gfmcZprw8x16brXHWv/s/lf82KrYa4XzHXK+r4QYGPXC2tf65h3V5gvwFr352T+17xbJWPta53MMptrmI3dObex6+SN8epnefG4N+XYW9/xZ16UPe6449LvajFfOnbqqaemjwnzRWLmS9jMpKS5Y9a8+8Q18zNOP/30wF133ZX+YjlzTWreoWRUVVWlv5Aj8+Kz+SIOYFMwWQfPmG/0Uaz9RLolnHvuuekJFzPRMX78+PSJdt1vGzJ23nnn9KTLv2HtJyaXy52VlZV+1evxxx9fMxFnJu4yb5tYe7LOMN/ia75tzLwdMTNZZ94esqFv8VSZt3tuiPmms4zMHX2utuG/tf435XhRunWPqbUvlszFg/mjWPut0TZc/Dxlm5xzzjmB1q1bp9/+Yt4SZO7uMxenc+fOTf8xb8cw3xJnLqQyF1AAAPyvXLOaO+oyE3XmGzZvuOGG9X5EhHm+U597/y9YexLHvC3YTOCozLXH+ibrNnbdsfa1jvmGVZufl5GZTN3YNfC618Gbwquf5cXj3pRjb33Hn/lvzdu+zbewmm/5NXfvmQltM1lt/phvXjUTk8OHDw9cfPHFAdfMR9qYa0yzjsxbrM3bhI1Zs2atuct1U96xAmQwWYf/FPN2hsykk7mwqekEaj4TwU+fg+XlcpuJODNZZ16BXbJkSfprys1/Z15RzLyNwLxia14FMl+dbn6u+fpy89kRXr0F1jCvcm7oK8wzr4Iaa9/eviW24f/aflO/fv01/3zwwQfX+FmS69rY20j88vPWtt9++6Vf0TQXa59++mn6ov3NN99cM3n30EMPpSfwMtsPAID/FeY5LPN5sGZyoqa3aZoXVv9LatWqlZ6EMhNS5k5D81ZY1aZ+dljmWse8YN2lSxf5v1v74zkyn4VoXig31y0bmrha+zp4U3j1s7x43F4yNx6cccYZ6T/mOs+8tdlM2pl3tpjrPzNJaK7Vzf5xwQUXBFwyd/SZO+defvnl9NteM5N15p+NrbbaaqNvHQY2hMk6/E/Y0GdI2Pjpp5/WvEpj3ipXE/NhoeY2eb/wcrnXnmwzd9ete1ddhvn3zGSdeWJc+//3gvmSiw19Hlvmw1rNz95zzz236Db8X9tvzN1mGebz3MyXhrg87rz6eZvDXITuu+++6T/m4sx8hoh565D53ENzAffNN9+k37YMAMD/wjVr5m2HxgEHHFDjuOaFQjNJ8V9bd+ZLQsy1pJkwMXdbuZa51jGfpWbu4FJfmFxbZlLRvGPEvMBorllqYh7b5vDqZ3nxuF0xb4E2NxSYP+Zuus8//zz9DiAzQWk+2852sm5Tjl3zcSxmss58vrb5fG/zTo7MZyOaL9Pb3Dsk8d/Gt8Hif8Labzc0nwOwqda+FTzzmQvrM3r06ICfeLnc5m6mzGdTmG9rytxxtO4dc5l/N3+fecus+XIAc1HkhXvvvTf9St/6mFvHzd1/xiGHHJJ+Mt6S2/B/bb8xb5Ex680wF1Yb+jZdL447r36e16+6rz1puKHtBgCAV8wv55kXOTfnmnXt648NPYeZu8vX/lyx/8q6O/HEE9P/a65RzYuqrpkXADN35a39TbQ2zJchZJg7JWtiJn3Mi4ybw6uf5cXj/reYL67IfJnGplz3Za57bY5bs3623377NXfUmS+byEz88RZYbC4m6/A/wbwtM2Nj34S1IWaiKfOZFHfeeed6T8bmMz/MZw2s7/PIthSvlzszEWc+B8V8tfj6vinKfLaduVvJPNnNnj37b/+dF8wXNphv8FyXeQXQ3J2V+Ur2oUOHbvFt+L+439x0003pC17z7WcDBw7c6Idkmwv9dT9fxOa48+Ln2TCfH/jXX39tsHn++efT/2v2by/ecgsAwMaY55zttttus69ZjczdUOaFU3P3/rrMR5mYO3uUz3n9v7buzOeFmRefzXWjmTDJ3IVYE/N5wosXL97kZTMvWA8ZMiT9zyNGjFjzFuWamHdkrPsYzB3+mbeSmgm09d0RaK67zecTbu71pFc/y4vH7RUzqbihL1Ex14WZuwQ35UsdMte95uNvVq5cKf035nclc91rmBsNMuvH/F5lPsca2By8DRb/E8wrJeZbN83ngQ0bNix9MjafUZH5/AVzi3bjxo03Oo65mDEXNWPGjEl/Bpv5hlHzddo77bRT+sRsJqXeeOON9GcOzJ8/f7Nf1fKK18tt3spq7oDKfGiseSvBure1mw9oNZ8HZm7lznReTtaNHDkyPRFnxu/Tp096+5pXRqdNm5Z++61hJu3W/dDgLbEN/xf3G3Onm/nQ2/PPPz+9rc03pfXs2TOwzz77pG/RN5/zYY4nM2lm3ipqPpjXbAvzVptNOe68+Hk2zBdImItH8w3H5mebi0mzrGbC0HwDmfl78xkmhvm2sLUnHgEAcMlcZ02fPj39oqh5rjIfoZGZEDF3o++///7SOOZD8p988sn0hJT56BBzp4557jXvTDB3RJmJAfNilLk+My8m/pfWnbk2M98Kal5cNtdm5iNTzDWjuSYwnXnbprnuMJ9bayZw3nrrrfT6vPnmmzd52W688cb09Yu5xjHXFuaFWvPto+bz2cwymgke8zPNday5489ck2S+lTXD3HllJmHN58T16NEjfYdgx44d04/HfMPplClT0tfgZhJtwoQJm7UuvfpZXjxuL5hrcfOisHmra8uWLQONGjVKf7us+Qgac+1tjofMt9BeeeWVm7TvmS9xMROO3bt3T/8eYj6zL/P2WDP5ub4v7DC/E5j/zhynmS/Fy0zgAZslBWzAJ598Yj6oK/1n0KBB//j7qVOnrvn77777rsZxVqxYsaYbN27cP/7+qaeeWvP377zzznrHmD17dionJ2dNt/afe++9Vx4rGo2mevfuvd5xzJ/BgwenYrFYarfddkv/e8+ePTdpeTdGXXdeLnfGypUrU8FgcM1/e9lll623u+aaa/72M5YtW7ZJj7Wmxzxx4sRUOBz+x2Mxy2b2t3g87mxdbIn1r/7MG264YU1XWlpaYzdkyJB0U1BQUGPzwgsvpPbcc88alzvzp3Hjxqmvvvpqk487L36ezTaZO3duqn79+hv8GWbfuuCCC1LV1dUbHAsA8H/DjjvumD7/b7fddhu8Fh09evQGxzn44IPTXbt27db796FQKP33l19++Xr//ueff16zLOv+6datm9VY5rkxOzt7vWPtt99+qV9++SX935p/N2NtyvIqzHXZxq45zHN3ZtnMcrted4Z5/Ob/X/u6dn1/ioqKUpMmTdrkfSIjkUikRo0alapTp84Gf15WVlaqffv26x1j0aJFqebNm6/3vzPXkWY9bmybqrz6WZv7uLt06ZL+e7MsG7L2teBPP/30t787//zzazwWMn+22mqr1EMPPbTesfv3759utt566xp/fqZZ359Vq1bV+N+dfPLJazozvvm9Adhc3FmHDTKvtphbyw3zCsa6zO3nmb8vLCyscRzzWQeZbn23BJtXRjJ/v/Y3f66tV69egbZt2wYee+yx9O3V5i105lUzY+276jY2lnlF5OGHH07fAWRerTTfiGpeYTJ3DJlXnDIfQm9epTTfVmruLtuU5d0Ydd15udwZ5lUi8/aBzKtP5g6o9THfYGQ+rNUwdy2ZVyq9dM4556RfpXrwwQfTr4iZ7WleITbb2nzzmct1sSXWv/ozzViZznz71oY+PNh0G3r7i3mV8Msvv0x/+LR5Fd7cvWjeYmyObbNNzbFjXqGs6csX1OPOi59ns03MK55du3ZNvy3IvFpu7tgz34Znls3cJWruCjSv+mbeTgMA+L/PfNC8ueN9fR+Cv/a16Ma+qfKwww5Lj1HTtYgZx9zdZu60Xx9zN7d5zjRvizN3dZllMnfcmDt21r2rbmNjmc9fNXdDzZw5M/38alrz3Gaeb801h7mLyfy3ZpyavvFzYz9DYX4P2Ng1h3nuzqzjzOcju1x3hvm8MPMWT/OxLuazmM1dduadAGZ7m7uuzDW7uYvf/Fn3mspmn8gw69vctWW+vMC8m8LcxW/uIjPLaPYZc62T+ZbQzDeprsv8vfnSB3M9ab6cwNz5Zr459OCDD05fk5vP7tvYNlV59bM293GbOyTN+t9xxx03uLxrXwvm5+f/7e/M3aPmzsjXX3898Mknn6Tfxmv2D3ONbvYDc+1tPqtv3f8uw7yTyIyd+abc9THvDjHfNGv2JXMNa95dlPks5vXdVbf29bL5PcHo16/fBltAFTQzdnINAJvBPAGaW8WN7777js8RAwAAAPA/zfx+Y37PMW+ZNZ/LbT4qB9hcfMEEAAAAAACAJfO5zI888kj6n81dsEzUwStM1gEAAAAAAFi6/fbb0982bFx00UWsP3iGz6wDAAAAAADYCPMZduYzAGOxWPqz++644470/9+uXbv052YCXmGyDgAAAAAAYCPMl2qYL+Fb27bbbhu49957WXfwFJN1AP41tt/ACgAAAAB+Yb411/w+Y75MwnyzbIsWLQL9+/cPFBUVbelFw/8xfBssAAAAAAAA4BN8wQQAAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE2EvBlm8eLHcHn744XL75Zdfyu3dd98tt1999ZXcRiIRqUulUvKYbdq0kdv99ttPbs866yy5LSkpkduOHTvK7ejRo+X2lFNOcbLNbrzxRqkbOHCg5/uBcd9998ntlVdeKbennnqq3I4bN05ue/ToIbdvvvmm3Obm5srt/fffL3Xvv/++POaQIUPk9rbbbnPyuC644AK5ffvtt+V24cKFcrvTTjs5WQ+vvvqq1L322mvymFOmTJHbhg0byu2wYcPkdvXq1XJbUFAgtz///LPcHn300XJ79dVXy+306dM9P9+0bNlSHrOyslJug8Gg3O6zzz5yi/+Ws88+W26zs7PldocddpDbevXqyW1eXp7cJpNJqauqqpLHjEajclteXi63FRUVTtpQKOTkudvm/GOzDFlZWZ5uW9vr01q1asltfn6+3MZiMbldtmyZ3P7yyy9O9secnBzPj0mb/cvm2sFmX4zH43JbVlYW2NJs1oPN+q1bt67n+3hpaancrlq1ysnv4+Fw2ElrczzYnJtsnvsaNGjg+fV/rsU+Y/O4bNr27dsHNhd31gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNhLwa5//775fb333+X29tvv11uL7jgArn95Zdf5La0tFTqrrzySnnMm266ycm6PfbYY+U2lUrJbZs2beS2Tp06cnvvvffK7UEHHSS3P/zwg+c/f8WKFXK7dOlSuX3rrbfkduHChXJ79tlny22jRo3kNjc3V24rKirk9s0335S6Cy+8UB6zcePGctu2bVu5dbXf9O7dW25zcnKcnHPV852xYMECqbvjjjvkMa+99lon66t27dpy+/7778vtn3/+KbdjxoyR20QiIbe//vqr3D700ENy+9tvv0ndt99+K4+57bbbyu2iRYvkdp999pFb/LfYnNOys7PldtWqVU7O1zbLkJWV5fnPD4f1Xwvi8bjcRqNRzx+XkUwmnSyDzXNGKBTy/NweDAad/Hyba3+b1mZfsHlsNvujzfWpzTFh027p9WVz7WAzrs2+YLPNbJbXZp2p5wWbxxWJRJwsq01rsww251GbfcHmeLA5JvPy8uQ2JW43m+d/V+dGL3BnHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPhH2YpC8vDy57d27t9yuWLFCbs844wy57dOnj9y2aNFC6mbPni2P2a5dO7kdPXq03E6dOlVumzRpIre5ublye9ppp8ntX3/9JbfNmjWT27Fjx0rdxIkT5TEHDBggt506dZLbNm3ayO0DDzwgt+edd57cjhkzRm579eolt/PmzZPbPfbYQ+q6devmZF/cYYcd5Pajjz6S2w8//FBuX375ZSfHb2Vlpdweeuihcpufny91xx9/vJPH9dhjj8nt1ltvLbeXX3653N50001yu2zZMifL26VLF7m98MIL5faQQw6Rul133VUe87fffpPbmTNnOjnW8d+STCadtMXFxXIbiUScXG/Vq1dP6rKzs+UxS0tLAy7EYjEnrc36Up+zjKws/V6GaDTqZFwXY9rs4yUlJU7WQTwel9u6devKbU5OjpNjUlVdXS23iUQisKUVFBQ4GdfmfGOzP9qMGwwGPT/XlJeXO3lc6rLaXs/bjOvqOcpmm9lsixLx3FRWVuZk+9psh65duwY2F3fWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE8FUKpXa3EEaNWokt6tWrZLbgoICuS0rK5PbHXbYQW4//vhjqSstLZXH/PHHH+XWZvPYPK6zzjpLbt944w25ffzxx+X2iCOOkNuFCxfK7WOPPSZ1TZs2lcds2LCh3C5YsEBuzz77bLk97rjj5HbZsmVyu3jxYrm98MIL5fakk06S26ws7XWD2267TR6zZcuWcvviiy/K7erVq+W2U6dOcnv00UfL7W+//Sa3S5YscXL8BoNBqXv22WedLOuwYcPktlatWnJbUVEht1999ZWT80IkEpHbfffdV25//vlnuY3FYp4fZ0OHDpXblStXyu3UqVPlFv8tffv2dXK9pZ7/jNq1a8vtjjvu6Pm1d3Z2tjxmSUmJk2PU5nkzHo8HXCgsLHTy+4fNfqOeV23WQU5OjtyGQqGAC+Xl5XJbWVnpZHlttm9+fr7n1wQ2v4dWV1c72b9srh1yc3OdbIdEIuHkesvFvmCzDmyW9a+//nJy7CSTSbkNh8NyW7duXbndaqutnLQ2y1shboulS5c6ee6z2WZ33313YHNxZx0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE2EvBpk5c6bchkIhud1rr73k9rXXXpPbp59+Wm5r164tdbVq1ZLH7Nixo9x27txZbqdPny63HTp0kNtrr71WbnNycpws78svvyy3Rx55pNRFIhF5zMaNGztZ1mHDhsntfvvtJ7eHH3643E6YMEFuDz30ULlt0KCB3B588MFSt3DhQnnMJ554Qm4/+ugjubVZhjFjxsjtgQce6GR5R44c6WR5DzroIKm75ZZb5DF33313ua2oqJDb/fffX26//fZbuR06dKjcXn/99XL722+/ye0JJ5wgt998843cXnTRRVLXvn17ecx58+bJ7U8//SS3U6dOlVv8t2y//fZym0gk5LaqqsrJda/Nea20tFTqwuGw52PaLqvNurVZXzaPzUZJSYmTxxaPxz0fMz8/X25zc3Pl1uYaOZlMym0qlXKyj9nsC1lZWZ5vM5t1EIvFAi7YrAOb7WBzTNqwGddmeaPRqOfHmY3s7GwnzyWujjObNhgMOjnO1G1mc16orKwMqMrKyuS2vLw88G/izjoAAAAAAADAJ5isAwAAAAAAAHyCyToAAAAAAADAJ5isAwAAAAAAAHyCyToAAAAAAADAJ5isAwAAAAAAAHyCyToAAAAAAADAJ5isAwAAAAAAAHyCyToAAAAAAADAJ5isAwAAAAAAAHwi7MUgy5Ytk9vHH39cbhs1aiS3r732mtyuWrVKbufPny91J554ojxmu3bt5Pbll1+W22nTpslt3bp15XbChAly+8MPP8jt008/LbcvvPCC3LZv317qjjnmGHnMq666Sm7z8vKc7OMdOnSQ25deekluX3/9dblt3ry53JaWlsrtwIEDpW7JkiXymBdffLHcdu7cWW5btWrlZPsWFBTI7RNPPCG3LVq0kNtPP/1Ubp966impu/XWW+UxhwwZIrfvv/++3H7//fdye/fdd8vt/fffL7dXXHGF3Pbs2VNuFy1a5GTfXbFihdS1bNlSHvPss8+W2y+//FJugZo0aNBAXjnV1dVyW1ZWJrfRaFRu4/G43FZUVAS8VlVVJbfBYFBu69SpI7eRSMTJ8iYSCSf7QiqV8nxcmzFt1ldhYaGT1mZfSCaTTrZDZWWlk2PSxbFrs81sltVmfdm0OTk5W3xfsKEe6za/r2VlZTm5nq9Vq5aT5x2bc0hRUZGTx2bDZv2mxMdmc5zZ7As243qBO+sAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPCJsBeDtG3bVm7/+OMPue3Vq5fctmjRQm7r1q0rtytWrJC6s88+Wx7zmGOOkdtmzZrJ7fTp0+X26KOPltsOHTrIbdOmTeX2nXfekdtu3brJ7ejRo6XuwQcflMds166d3E6bNk1uY7GY3C5ZskRup06dKrd9+vSR2x122MHz7WBzXrB5XNtvv73c/vTTT3K7ePFiuf3999/l9oQTTnByPMycOVNui4uL5bZevXpS17x5c3nM++67T27HjRsntwcddJDc7rvvvnI7cuRIub3ooovktnPnznJbXV3t5LnnzDPPlLomTZo4Oc5Wrlwpt0BNateuLa+cyspKuQ0Gg3JbVlYmt8lk0vPljUQi8pihUEhuc3NznbSFhYVyG4/H5XbVqlVO9gWbc7AqOzvbybq1GddmH8/JyZHbWrVqyW0qlZLbRCLh5Nq7oKDA8+PMhs06qKiocNJmZen39hQVFcltfn6+k/1cPY+Fw2HP9wPb48Fm3dpss2g06uTYsWltltdm3Kj42GzWrc32tTl/eIE76wAAAAAAAACfYLIOAAAAAAAA8Akm6wAAAAAAAACfYLIOAAAAAAAA8Akm6wAAAAAAAACfYLIOAAAAAAAA8Akm6wAAAAAAAACfYLIOAAAAAAAA8Akm6wAAAAAAAACfYLIOAAAAAAAA8ImwF4PMmjVLbsvLy+V27NixcnvPPffI7aBBg+S2d+/eUrfVVlvJY5aUlMhtjx495HbevHly++KLL3q+Doy5c+fK7aGHHiq3p556qtw2b95c6iorK+UxX3/9dbkNBoNy+8wzz8jt9OnT5bZPnz5ye/rpp8tt+/bt5XabbbaR2yeeeELqli5dKo/ZqFEjuX3kkUfk9pJLLpFbm+V95513nJxDXn31VblNJpNyqx4/p512mjzmo48+Krfnn3++3D7++ONyO3jwYLm9//775fbMM8+U2+uuu05uu3btKrcdOnSQ22HDhkndnDlznJxr+vfvL7eAF8/zsVhMbquqquS2oqJCbhOJhOfn6/z8fHnMSCQit6FQSG4LCgrkNicnR27D4bCTx2azDDbjplIpqcvKyvJ8TNt93OZ6oLq6OuCCzbq1WWc26yEajXq+z9gcOzaPy+Z37NLS0i2+j9mMa/O7VZ06dTw/f7jaZjbHmavzgs26tXk+s1lem3GrxfONeuza7gvZ2dmBfxN31gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNhLwY544wz5DaVSsntU089Jbc333yz3M6dO1duFyxYIHVNmjSRx7z11lvlNjs7W2779esnt2eddZbcTp8+XW732WcfuZ05c6bcTpw4UW6Lioo832/vuOMOub366qvl9tFHH5Vbm33s3Xffldvdd99dbidNmuSk7dOnj9Ttueee8ph33nmnk32xYcOGcrt48WK5ff755+X2pZdektuPP/5Ybnv06CG311xzjdQNHDhQHnPevHlyu2TJErmdP3++3LZv315uZ82aJbdVVVVye/jhh8vt2LFj5fakk06S22OPPVbqHnzwQXnMTp06ya3N+RmoSVlZmbxyksmk3CYSCbnNytJfF49Go3JbUVEhdcFg0Mk6sLk+tTn/hcP6ryY2j62goEBuKysr5TYej3u+HmzWgY0///xTbqurq53sN/n5+XKbm5vr5PdLm9bmsbnYZ2y2g815KRaLORk3Eok4Od/ZnEdVeXl5TraZzbq1WQc25zubc5jN9rU5HmzO+zbrNy62OTk5TtaBzbhe4M46AAAAAAAAwCeYrAMAAAAAAAB8gsk6AAAAAAAAwCeYrAMAAAAAAAB8gsk6AAAAAAAAwCeYrAMAAAAAAAB8gsk6AAAAAAAAwCeYrAMAAAAAAAB8gsk6AAAAAAAAwCeYrAMAAAAAAAB8IuzFIP3795fbt956S26feeYZub344ovltlWrVnK7ePFiqQsGg/KY33//vdyeccYZcvvee+/J7VFHHSW3r732mtzefPPNctuxY0e5Pf300+X2999/l7pGjRrJY7766qty26dPH7m96aab5PaWW26R26efflpu//jjD7m966675LasrExud9hhB6l76aWX5DHHjx8vtyNGjJDblStXyu1ee+0lt5MmTZLb0tJSuX399dfldsCAAXJ73333Sd3gwYOdrK+pU6fK7QsvvCC3NvvYtGnT5PbJJ5+U29zcXLnt27ev3LZs2VJui4qKpO7BBx+Ux5w1a5bc3nnnnXIL1GTVqlXyyonH43IbDoedjJuV5f1r6IlEQm5jsZjcZmdny20oFHLS2rDZDjaqq6vlNhqNSl1JSckW377qstr+DmSzvDbHg01rs++62A9szh826zYSiThZBpttVlVV5eT3hFq1asltKpXyfJ9RxzQqKyvltqKiQm6TyaSTfdxmH7NZDzb7go0scbvZXEsXFBQ4Oc68wJ11AAAAAAAAgE8wWQcAAAAAAAD4BJN1AAAAAAAAgE8wWQcAAAAAAAD4BJN1AAAAAAAAgE8wWQcAAAAAAAD4BJN1AAAAAAAAgE8wWQcAAAAAAAD4BJN1AAAAAAAAgE8wWQcAAAAAAAD4RNiLQX755Re53XfffeV2t912k9vatWvL7e233y63ZWVlUrfzzjvLY1588cVyO2zYMLn97LPPnKyDFi1ayO2dd94pt9ttt53c7r333nJ71llnSd2UKVPkMS+//HK5DQaDcnv//ffL7XfffSe3++23n9zm5eXJ7W+//Sa3L7/8stzOmDFD6k444QR5zIceekhuf/75Z7kdMWKE3Pbr109uGzRoILcrV650cl447bTT5Pa9996Tuq+//loec/HixXJ7xBFHyO348ePl1mZ5bY6dRYsWyW3Xrl2dnMuvv/56uR07dqzn+/ivv/4qt3Xq1JFboCalpaXyykkkEnJbVFQkt5FIRG6zsrI8v9YIh/VL/fz8fLnNyclxcq60uYayWbc2rc06q6qq8vx3iurqannMeDwut8lkUm6j0aiTfSGVSjk5HgoKCpzsY+ryxmIxeUyb7WuzDmzOSzbLa3Ps2OyP2dnZTvZH9VxeUlIijxkKhZycE2yOSZtjx0Zubq6T9WDznFpRUeH580kdi+tIm2PHZh14gTvrAAAAAAAAAJ9gsg4AAAAAAADwCSbrAAAAAAAAAJ9gsg4AAAAAAADwCSbrAAAAAAAAAJ9gsg4AAAAAAADwCSbrAAAAAAAAAJ9gsg4AAAAAAADwCSbrAAAAAAAAAJ9gsg4AAAAAAADwibAXg8yZM0du7777brmdMWOG3AaDQbm999575bZly5ZSd9FFF8lj1q1bV26vuuoqua1du7bcduzYUW6/+eYbuZ00aVLAhWOPPVZuH374YamrrKyUx7zlllvkdtCgQXIbDuuHYElJidwedNBBcnvJJZfI7XXXXSe3LVq0kNvRo0dL3bBhw+Qxjz/+eLmtU6eO3O6+++5yO3ToULkdM2aM3JaXl8vtPffcI7c//PCD3Pbp08fz/fbyyy+X22QyKbfdunWT21122UVue/bsKbfNmjWT2++//15u+/XrJ7dbb7215+c8m+Ps0Ucfldt99tlHbgEvzhOpVEpuq6qq5DY7O1tuE4mE3BYUFEhdfn6+52PaXr+EQqHAlt6+Nstg8ztFXl6e3FZXV0tdPB53sg5s2Gxfm1ZdBy63r81+riouLnZyrolEIk7WV05OjtyWlpY62b42jy0ajcrtqlWrpC43N1ce0+Y8avP8YLO+srKynKxbm33B5jnK5rnPRkg81m1+vs06sNlvvMCddQAAAAAAAIBPMFkHAAAAAAAA+ASTdQAAAAAAAIBPMFkHAAAAAAAA+ASTdQAAAAAAAIBPMFkHAAAAAAAA+ASTdQAAAAAAAIBPMFkHAAAAAAAA+ASTdQAAAAAAAIBPMFkHAAAAAAAA+ETYi0H23ntvue3bt6/cJpNJuX3rrbfktqKiQm6rq6ulbtKkSfKYnTp1ktutttpKbu+77z65ffnll+V2zpw5cvvAAw/I7ddffy23nTt3lttZs2ZJ3WWXXSaPecYZZ8jtqFGj5Pbtt9+W2969e8vtaaedJrejR4+W2x122EFu//rrL7l9/vnnpe7YY4+Vx+zZs6fc9urVS25//fVXuW3ZsqXctm7dWm5vv/12J9v3559/lttGjRpJXZs2beQx77nnHifbYeXKlXJbWloqtyUlJXL78ccfy+3YsWPltri4WG6nTJkit7fddpvn5/FwOOz5/gVsSE5OjryCEomE3MbjcbmtrKwMuKBeI9scd5FIxMk6iMVichsMBuW2oKBAbrOyspzsNzbrzKZ18buSzc8PhUJOWpt9web5ODs7W25zc3MDXrNZB1VVVU72xby8PCfHjs0yRKNRJ60N9bpI/R3fdpulUikn51FX5zCb5yib5xObx+biPBa0eC6x2b425zAvcGcdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+EfZikNNPP11uW7VqJbfnnnuu3I4cOVJuL7zwQrmdPn261D355JPymI0bN5bbJ554Qm5Xrlwpt59//rnc/vnnn3I7b948ub3uuuvk9tlnn5Xbjz76SOo++OADecxly5bJ7XnnnSe3H3/8sdw+/vjjcvvKK6/IbbNmzeT2ww8/lNsFCxbI7aWXXip1Xbp0kcfs27ev3BYUFMjt/vvvL7cjRoyQ23Hjxnm+jxs9evSQ206dOsntbrvt5vm58aSTTpLb++67T25POeUUua2qqpLbhx56SG779esnt3vssYfc7rrrrk6O3+HDh0vdLrvsIo9ZWVnpZJsBNalfv768cqqrq52cJ2yuzWyWIRgMSl1hYaGTnx+NRj1fVlvxeFxuE4mEkzYWi3m+HmzGtNkOeXl5cpuTk7PF11d5ebncRiIRJ+shHNZ+VQ6FQk7Wrc3jSqVSTo7J3NxcJ+PaLK+Lc6O6bW3Z7As2x6+r48zmPJqVpd/nlUwmnRyTQXH72qwvm33RZvt6gTvrAAAAAAAAAJ9gsg4AAAAAAADwCSbrAAAAAAAAAJ9gsg4AAAAAAADwCSbrAAAAAAAAAJ9gsg4AAAAAAADwCSbrAAAAAAAAAJ9gsg4AAAAAAADwCSbrAAAAAAAAAJ9gsg4AAAAAAADwibAXgyxcuFBujz76aLm9/PLL5TYc1h9K37595XbPPfeUuqFDh8pjHn744XI7ceJEuR04cKDc1q5dW27/+OMPue3SpYvcXnLJJXJ74IEHet7GYjF5zNatW8ttrVq15Pbaa6+V24qKCrkdMWKE3I4cOVJu33//fbndcccd5farr76Suq+//loe8/fff3eyHTp37iy3zz//vNzm5eXJbZMmTeS2f//+crv33nvL7V9//SV19evXl8ccO3ZswIV3331XbocPHy63K1askNsjjzzSyXm0uLhYbs866yy5PeSQQzx/7tttt93k9uCDD5bbU089VW7x35KdnS23kUhEbrOyspxcE9g8zweDQakrKyuTx4zH43KbTCadrK9QKCS3paWlTpa3urpabqPRqNxWVVVJXXl5uZNtZrMv5OfnO/kdzOY4sxnXZnlt9gV1eW3GVI9d2+1rczwkEgnP91vbcW3YnBcKCgo87Wz3L5ttZvO4bJ7PbJY3NzfXyfa1WV6b54icnBzP14HNOd9mWb3AnXUAAAAAAACATzBZBwAAAAAAAPgEk3UAAAAAAACATzBZBwAAAAAAAPgEk3UAAAAAAACATzBZBwAAAAAAAPgEk3UAAAAAAACATzBZBwAAAAAAAPgEk3UAAAAAAACAT4S9GGT48OFy26pVK7nt3r273F555ZVye9hhh8nt+PHjpW6PPfaQx+zRo4fc/vrrr3I7aNAgub3hhhvktm3btnK7YMECuf3kk0/k9vfff5fbO+64Q+quueYaJ8tat25duT3qqKPkdtddd5XbVatWye2KFSvkNh6Py+3ee+8tt4lEQuoWLVokjzljxgy5nTBhgtwWFxfL7YEHHii3Z5xxhtwOHDhQbocOHepkeUeMGCF1F154oTzmzJkz5fbtt992cvzanBeaNm0qt1dccYXcvvnmm3LbtWtXJ8/VDRo0kLrly5fLY1533XVye+yxx8otUJNoNCqvnEgkIreFhYVym5eXJ7clJSWePx8Hg8GACzaPy+baIRQKObnWsVkGV8ubSqU8//nq9ZORnZ0tt7m5uXIbDuu/ThYUFDhp8/PzAy6o6zcrK8vJuaa6ulpuKyoq5Laqqkpuk8mkk33MZt/NycnxfN+12b9sjnObdWDzuGzO5Tbj2rTl5eVb/NwUEY8fm/3WprU5drzAnXUAAAAAAACATzBZBwAAAAAAAPgEk3UAAAAAAACATzBZBwAAAAAAAPgEk3UAAAAAAACATzBZBwAAAAAAAPgEk3UAAAAAAACATzBZBwAAAAAAAPgEk3UAAAAAAACATzBZBwAAAAAAAPhE2ItBrr32WrlNJpNyu/XWW8vt4YcfLrcLFiyQ2xkzZkjdkCFD5DEXL17s+c83Zs6cKbdvv/223B5zzDFye8MNN8jtvHnz5LZbt25y27FjR6lbvXq1PObcuXPldp999pHbdu3ayW1BQYHc3nzzzXL75JNPym0oFHJynJ155plS17p1ayeP65RTTpHbSZMmye3JJ58st59//rncVldXy+37778vt23atJHb/v37S915550nj3niiSc6eVyPPPKIk/OSzTnkzz//lNtIJCK3H3zwgdz27t1bbhctWiR1559/vjxmo0aN5Pawww6T2zp16sgt/ltKSkrkNjc318k+l5eXJ7f5+flyu2rVKqkrKyuTx4zFYk7OUzbXDolEQm5TqZSTx2azvMFg0PN1VlhY6GR9ZWdnO9kXa9WqJbc5OTlOtoPN75fRaFRui4uLPX9cNmz2W5vHFQ6Ht/g+ZrN9bc6j6jqrqqpycpzbsFm3NuvAZnltfqew2ccqKyudrIeQuN/YrIOKigq5LS8vD/ybuLMOAAAAAAAA8Akm6wAAAAAAAACfYLIOAAAAAAAA8Akm6wAAAAAAAACfYLIOAAAAAAAA8Akm6wAAAAAAAACfYLIOAAAAAAAA8Akm6wAAAAAAAACfYLIOAAAAAAAA8Akm6wAAAAAAAACfCKZSqdTmDhIOh+X21ltvldv3339fbm+55Ra5TSaTctu6dWupmzdvnjzmN998I7eVlZVy++OPPzpZB0888YTcVlVVyW2nTp3kduzYsXLbtm1bqWvVqpU85ttvv+1k+yYSCbl95ZVX5LZHjx5yO3nyZLn97LPP5Pb555+X2+7du0vdkiVL5DGLiorktn///nJ71VVXye2ll17qZF+IxWJOzs8tWrSQ2+eee07qfvrpJ3nM2bNne35uNq6++mq5Peigg+T29ttvl9tff/1VbhcuXCi3Nk/hhx56qNwOGjTI8zHj8biT9bVq1Sq5xX/LBRdcILd169aV20aNGsltrVq15La6ulpuV6xYIXWrV692cg1n89ySlZXl5Dxhc/6zeY61Wd6cnBy59eBXrs1aXwUFBXKbn58vt5FIJOBCNBqV29LSUrktLi72fL+xWV82+0wwGHRybZibm+uktbn2dkXdF2z2A5vfx7Ozs+W2sLDQybGel5fn5LxUUVHh5Pi1OSZq167t+bFjs31t9ptx48YFNhd31gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNhLwY55JBD5LZv375yG4lE5PbPP/+U2xUrVsht165dpe6JJ56Qx/zpp5/k9q233pLbNm3ayO27774rt5999pncVlRUyO1jjz0mt2PHjpXbk08+WeqWLVsmjzl69Gi5Pemkk+S2Z8+ectuhQwe5zcvLk9tjjz1WbleuXCm3++67r9w+++yzUnfwwQfLY3711Vdy26tXL7k999xz5ba0tFRut956a7nt0qWL3L700kty27hxY7mdNWuW1H377bfymO3atZPb5cuXy+3zzz8vt9tvv73clpSUyO0DDzwgt4sWLZLbbt26ye1VV10lt5dcconUjRs3Th4zNzdXbq+88kq5BWoSCoXklRMMBuU2Ho/LbSqVcrK8aptIJOQxo9Go3JaXlztZt+Gw/qtJdna2k/OPDZv1q24zm2u4/Px8J79X2bQ2bPYbm+fYv/76S26rqqqcHL8u2GwHm308JydHbm32R5vltTl+Y7GY59vMZv+y2Wds1pfN+c6Gze/jyWTSSevqOMsXz3k269bm59s8n3mBO+sAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPCJsBeDHH744XLbvn17uX399dfltrKyUm5HjRoltyeffLLU/fbbb/KYkydPltsnnnhCbm+77Ta53WeffeS2bt26cjtr1iy5vfrqq+W2ZcuWnm/fwsJCecydd95ZbufOnSu3CxYskFubfWzFihVy26NHDyfH+o8//ii3DRs2lLrjjz9eHvOoo46S265du8pt48aN5faEE06Q2/Hjx8tt37595TY7O1tun376abkdMmSI1I0ZM8bJPj5x4kS5feedd+T2wQcflNuLLrpIbk866SS5veCCC+R22223ldsjjjhCblu1aiV1I0aMkMccNGiQ3N57771yC3hx/ovFYnKbTCblNh6Py20qlZLbUCgkdXl5eU7Wgc3jshnXZh3k5ubKbTAY3OLroaCgQOrCYf3Xs/z8fLmNRCJO2qqqKs/3W1s249qsX3Ufq1Wr1hbfDllZWU7OjTbLYHM82CxvdXW13CYSCamLRqMBF2zOuTbbwdXzjs3x4GrfzcnJ8XzcHIsx1X3Gdl7EC9xZBwAAAAAAAPgEk3UAAAAAAACATzBZBwAAAAAAAPgEk3UAAAAAAACATzBZBwAAAAAAAPgEk3UAAAAAAACATzBZBwAAAAAAAPgEk3UAAAAAAACATzBZBwAAAAAAAPgEk3UAAAAAAACAT4Q9GSSsD1NWVia3Z599tty++eabcvvEE0/IbXZ2ttRdd9118piLFy+W26lTp8rt0qVL5bZJkyZy2759e7n94osv5Pb777+X2yuuuEJuBw8eLHV77LGHPOYjjzwit3fddZeT9TVnzhy5TSQScvvXX3/J7YwZM+T2/fffl9vTTz9d6saNGyePefXVV8vtRRddJLcLFiyQ26OPPlpuR48eLbfz58+X26OOOkpuv/rqK8+3Wbdu3Zxss0suuURun3nmGbnt1KmT3LZs2VJuu3btKrc256Y777zTybl85cqVUte2bVt5zPPOO09uS0pK5Bbw4vrURmVlpZNlKCwslNuCggKpi8fj8pjBYFBuU6mU3Obk5DhZhlAoFHAhNzdXbqPRqOc/P5lMOmlttpkNm2WwuT612W9q167tZB9Tj1+bZc3Ly5PbrCz9vhqbZYjFYk62b3FxsZPtYHOcqY/N5ji3WdZIJLLFn6Py8/OdPO/Y7GMVFRVya/M85WLdqvM9WwJ31gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNhLwZp3Lix3F5wwQVyO3XqVLmdPn263EYiEbktLS2VuuLiYnnMCRMmyO2BBx4ot8uWLZPbH3/8UW7HjRsnty+//HLAhWeffVZuf/31V6nr3bu3PGanTp3kdsaMGXI7fvx4uZ0yZYrcXnnllXJ74403yu3rr78utw0bNpTb/fffX+o6duwoj7nffvvJbZ8+feR28uTJcjtp0iS5zcrSXzvZeeed5fb666+X27Zt28rtAQccIHWtWrWSx+zVq5fcjhw5Um7HjBnjZL9ZunSp3FZVVTk5P6vHjlG/fn25TSQSUlddXe3k+aFLly5yC9Skdu3a8spJpVJyGwwG5TYcDjtZhlAotEWXtU6dOk4eVzQaldvc3Fwny2DzfGxD3WY2zxclJSVyW1hYKLfJZNLzx2Xb5ufny21OTk7ABXVcm8dls9/G43G5zc7OdrJ9bZahsrJSbsvKyuTWxXksLy/PyTnBZjvYrFub87PN/mgzrs12sBGLxeS2WrzurKiocPLzbdatF7izDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAnwh7MUinTp3kNpFIyO0HH3wgtw0bNpTbTz75RG632WYbqfvpp5/kMW+88Ua5nTdvntzuvffecjt69Gi5feCBB+R26tSpcrvVVlvJ7Y8//ii3s2fPlrqysjJ5zHfeeUdu77//frkdOXKk3J5//vly269fP7k96aST5PbLL790cl5Q9wWbMT/77DO5HTRokJNjsmnTpnJ7ww03BFxo27at3P7www9ye+SRR3p+PAwZMkRuH3zwQSfPJd9++62T813jxo3l9u2335bb5cuXy+2tt94qt0VFRVK3xx57yGOGQiG5nThxotxOmTJFbvHf0qhRIyfXpyUlJXIbi8XkNh6Pe768NmMGg0G5zc/Pl9usLP3eAJvlra6udvLYcnJynJzXSktLPX9c0Wg04EJhYaGT7WuzHWzaSCQit8lk0vNxbdaBzbKGw/qv6lVVVXJbWVnp5HxXXFzsZHnVaxKjVq1aUldQUOBkfZWXl8utzbFus4/ZnMNsziE2x+SWXmcJi+d0m3PCv4076wAAAAAAAACfYLIOAAAAAAAA8Akm6wAAAAAAAACfYLIOAAAAAAAA8Akm6wAAAAAAAACfYLIOAAAAAAAA8Akm6wAAAAAAAACfYLIOAAAAAAAA8Akm6wAAAAAAAACfYLIOAAAAAAAA8ImwF4OMHTtWbq+66iq5XbRokdyWlpbKbW5urtyefvrpUpdKpeQxd9hhB7lt37693DZq1EhuDzvsMLm99NJL5fbJJ5+U2yOOOMJJq+43NtvsqaeekttgMCi3V199tdwOHjxYbidPniy3n376qZP95vPPP5fbyy+/XOoWLlwojzl//ny5feaZZ5yca+bNmye34bB+Or744ovl9vnnn5fbBg0aeL6Pvfjii/KYq1evltvFixfL7ciRI+W2Y8eOcvvHH3/I7ZAhQ+R2+fLlctu0aVO5TSQSnq+He+65Rx6zXbt2crvffvvJLVCTeDzuZOXEYjG5ra6udtKqx3M0GpXHzM7OlttIJOKktbk2s3netBm3pKREbkOhkOfbLJlMej6mUVFR4WTd5ufnO9kXcnJynKyHrKwsz5e3du3aARcqKyvl1uZYt9nHbVqb7WCzfQsLCz2/lrXZb23Wrc21oc1zlM12WLVqlZNlsHmOsGltzs/V4vNkWVmZPKbNOfffxp11AAAAAAAAgE8wWQcAAAAAAAD4BJN1AAAAAAAAgE8wWQcAAAAAAAD4BJN1AAAAAAAAgE8wWQcAAAAAAAD4BJN1AAAAAAAAgE8wWQcAAAAAAAD4BJN1AAAAAAAAgE8wWQcAAAAAAAD4RNiLQQoLC+X2t99+k9vs7Gy5nTlzptzOnTtXbqdNmyZ15513njzmm2++KbeJREJun3nmGbm94IIL5LZ///5y26BBA7l98cUX5bZnz55yW1lZKXWzZs2Sxxw4cKDcplIpuX300UedbIc5c+bI7Y8//ii3e++9t9zeeeedclurVi2py83Nlcfs16+f3J5xxhlye9ttt8ntPffcI7fbbLON3L7zzjtym5OTI7cnnXSS3JaXl0td+/bt5TH32GMPud1zzz3l9qGHHpLbY445Rm4vvfRSuY3FYnKblaW/jta5c2e5HT58uNwuX75c6p577jl5zLKyMrmdMGGC3J511llyi/+WFStWyG08HneyL9tcx9m0RUVFnj9v5ufny204HHZyXWRz/rPZZtFo1Mm4VVVVcptMJj1ft67YrAOb7ZuXl+fk90B13RrBYDDgNZtlDYVCTtrS0lIn5xqb9WVzvrFZZ7Vr1/a8tTnf2Zw/bLZDRUWFk232119/OTnWbbZDnTp1nPyuUiGuM5tzgs32tWm9wJ11AAAAAAAAgE8wWQcAAAAAAAD4BJN1AAAAAAAAgE8wWQcAAAAAAAD4BJN1AAAAAAAAgE8wWQcAAAAAAAD4BJN1AAAAAAAAgE8wWQcAAAAAAAD4BJN1AAAAAAAAgE+EvRhk1KhRcjtt2jS5nTx5styeeOKJcjtmzBi5nT17ttR9+OGH8pjt27eX23fffVduR48eLbdVVVVye++998ptbm6u3M6ZM0du69evL7fBYFDqfvrpJ3nMgw8+WG6zsvQ58KlTp8rtI488IrennXaak2W488475Xbu3Lly27p1a6l7+umnPR/T+OGHH+S2rKxMbleuXCm3u+22m9zeddddcrv//vvL7dFHHy23X3zxhdRdc8018pilpaVy+/7778ttvXr15PaZZ56R29dff11uV69e7eT57KqrrpLbN954Q267dOni6XOk0aFDB7ktKSmRW6AmxcXF8sqprq6W21AoJLepVEpu8/Pz5TYvL0/qateu7WRZ4/G43CYSiYALNo/N5rrX5rkoFovJbXZ2dsBr4XDYyX6bTCad7Dc2y5uTk+Pk2ttmm6mPrbKy0sk6sNkO6jnBaNiwoZNzo82xbvPYbI4d9fdAtbM9durWrevkPGrz+4fN8WCzPxYVFcltgwYNnDz3lYnrwWb/sjkn2IzrBe6sAwAAAAAAAHyCyToAAAAAAADAJ5isAwAAAAAAAHyCyToAAAAAAADAJ5isAwAAAAAAAHyCyToAAAAAAADAJ5isAwAAAAAAAHyCyToAAAAAAADAJ5isAwAAAAAAAHyCyToAAAAAAADAJ8JeDJKVpc/53XLLLXL7/vvvy22TJk3kNjc3V25HjBghdb///rs85rPPPiu37733ntx+8803crtixQq5PeCAA+T2zDPPlNvp06fL7YwZM+T2gQcekLovv/xSHnP48OFyu9VWW8nt1VdfLbfjxo2T25YtW8rtk08+Kbf9+vWT2yFDhsjt2WefLXW77rqrPOYVV1whtwMGDJDbzp07y+39998vt3PnzpXbr7/+Wm4rKyvl9o8//pDb8847T+qqqqqcHA+tW7eW2+bNm8vtbbfdJre9evWS27ffftvJ89ny5cvlNpVKye22224rdU899ZQ85vz58+V26dKlcgt4webaMBQKOVnpOTk5cltQUOD5mMFgUG5tzu02bJYhHNZ/jamurpbb/Px8J78DRSIRz5c1mUw6aW3Wrc1zSzQadbJubY7JRCIhtyUlJYEtST3ObfYvo1atWk62bywW2+LnEHUZbJbVhs05t6ioyMk2sznObM4LDRs2dPKcarMM8Xjc83Vrs75cPf/XhDvrAAAAAAAAAJ9gsg4AAAAAAADwCSbrAAAAAAAAAJ9gsg4AAAAAAADwCSbrAAAAAAAAAJ9gsg4AAAAAAADwCSbrAAAAAAAAAJ9gsg4AAAAAAADwCSbrAAAAAAAAAJ9gsg4AAAAAAADwibAXg4wfP15u99tvP7lt2rSp3O64445yu2rVKrkdO3as1HXs2FEec7fddpPbE088UW4//PBDuR0wYIDcXnLJJXI7Z84cuW3ZsqXcfvHFF3Lbv39/qbv44ovlMbfddlu5vfbaa+V26NChcnvRRRfJbd26deW2c+fOcrvNNtvI7fHHHy+3Xbt2lbqBAwfKYxYWFsrtXnvtJbc2yzBp0iS5Xb58udw2a9bMyflmwYIFcrvLLrtI3ccffyyP+cADD3h+nBuDBg2S2/z8fLmdPHmy3Nqcb7beemu53XPPPeV2ypQpcrvrrrtK3SOPPCKPGQwGnawvoCaRSEReOaFQyEkbDuuX2qlUSm4TiYTUVVRUOPn5xcXFTtZBVpZ+H0EymXRy/onH43Kbm5vr+bg2j6u8vNzJdrB5LrRZX9FoVG6rqqqcHJPqsWPEYjGpq66uDrhgc/zarIOCggK5zc7OdrIMNsekzTZT9xub54e8vDy5tTl+a9Wq5eTYsTnWbY5fm/1GPXZsH1tJSYnnz2eu9gUvcGcdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+EfZikDFjxsjtvHnz5LZXr14BF2bMmCG3iURC6p555hl5zKqqKrl96qmn5Pamm26S2379+sntIYccIrfbb7+93JaVlcnt0qVL5faee+6RumbNmsljFhQUyO3HH38st6WlpXL7yy+/yO2VV14ptwceeKDczp8/X2779Onj+TZ7/PHHnezj48ePl9vLLrtMbjt37iy3rVu3ltuRI0fKbdeuXeX28ssvl9vJkyd7vh3uuusuub300kvlduutt3ZyXvr666/l9pNPPpHbUaNGOXmePOWUU+T24osv9vz5Ya+99pLb3Xff3clzKv5b4vG43IZCIbmNRCJO2lQq5fljq6iokMesrKz0/PrYVl5entyWlJTIbTKZDLhgs9+o68zmechm++bm5jpZXzb7bTQaldvy8nK5dbEdbNaZq5+/evVqJ+NmZWU5+R3I5vi1OT/btMFg0NPOdh/PycmRW5v9xmbd2hxnNo+tsLDQyf5YXFzs+bghi3UbDoed7Ite4M46AAAAAAAAwCeYrAMAAAAAAAB8gsk6AAAAAAAAwCeYrAMAAAAAAAB8gsk6AAAAAAAAwCeYrAMAAAAAAAB8gsk6AAAAAAAAwCeYrAMAAAAAAAB8gsk6AAAAAAAAwCeYrAMAAAAAAAB8IuzFILVr15bbM844Q2579+4tt0OHDpXbuXPnyu1LL70kdX379pXHbNasmdy+//77cvvQQw/JbSKRkNtHH31UbgcMGCC3gwcPltvOnTvL7bvvvit1DRo0kMds3bq13NarV09ujzrqKLkdPny43D744INy+9hjj8ntcccd52QZZsyYIXVnnnmmPGb9+vXltrS0VG67dOkit8lk0sn57rfffpPbFi1ayO3vv/8ut8OGDZO6J598Uh4zFAo52b+WLVsmt61atZLbCRMmyO1HH30kt3369JHbm2++WW4nT54st1tvvbXUTZkyRR7z2GOPldtDDz1UboGaRCIRJ+cfG8FgUG6zs7PltqKiwvPnocrKSrm1GTcejzsZNysry8l1r812iEajcptKpaSuurraybq1WVabNi8vL7Clj1/1eLA9JtX90WZZbfZFm8e1evVqJ+vA5veaWCzm5JyrHjtGeXm51IXD+jRIVVWVk2PSZhls2tzcXCfr1mab2ZxHt9pqK8/PN3GL7ZCfny+3Nse6F7izDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAnwimUqnU5g6STCbl9qCDDpLbyZMny+2uu+4qtx999JHc1qtXT+r+/PNPeczzzjtPbnNzc+V2xIgRcmuzvG+//bbcdujQQW5/+eUXuU0kEnL7zTffSF12drY85ltvvSW3s2bNktsPPvhAbseMGSO3I0eOlNuXXnpJbouKiuR24sSJcnv++edLXXFxsTzmF198Ibdt2rSR2+rqarl94YUX5LZ+/fpye8kll8jthAkTAi5cd911Unf99dfLY7766qtyO3/+fCfnu2+//VZuZ86cKbdNmzaV2/vuu09uKysr5fadd96R29tvv13qbrrpJnnMnXbaSW5vu+02uR01apTc4r/l5ptvltt4PC63NtcPNm0oFJLbaDQqdeXl5U7OJzbXZTaPKxKJyK0Hv8L8q9ustLTU82udqqoqJ79T2FzvFRQUOFmGrCz9npJYLObkOs7Fstpss9WrVztpbY4zm+tTm+1rw+Y4y8nJ8fw4t1lfNq3NfmNzzlWfH2yXwea8YLMebJ5/42Lr6vnBZn2dffbZm//zNnsEAAAAAAAAAJ5gsg4AAAAAAADwCSbrAAAAAAAAAJ9gsg4AAAAAAADwCSbrAAAAAAAAAJ9gsg4AAAAAAADwCSbrAAAAAAAAAJ9gsg4AAAAAAADwCSbrAAAAAAAAAJ9gsg4AAAAAAADwibAXg9x///1y++qrr8rt0KFD5faXX36R288//1xuW7RoIXULFy6Ux3zxxRfl9sMPP5TbBQsWyO3HH38st3vssYfc7rDDDnJ79913y+15550nt61bt5a6GTNmyGMuXrxYbs8880y5LSoqktsDDzxQblesWCG3o0aNktv77rtPbo888ki5Xb16tdQdddRR8phVVVVyO2vWLLm99tpr5XbJkiVyu+OOO8rtK6+8Irdz5871/HxnFBYWSt1DDz0kjzlp0iS57dKli9yec845ctukSRO5Pffcc+V2p512kttWrVrJ7QknnCC3bdq0kdtx48Z5/vxg8zx90UUXyS1Qk7y8PHnlpFIpuY1Go07acDjseZudnS2PmZubK7fJZFJu4/G4k/UVDAbl1mY9hEIhuc3KyvJ8eSORiJOfbzOuzbq1OXZsuFoPNqqrq6WuvLxcHtOmraysdHL8FhQUOPldxYbNOSSRSHh+bszPz3eyj9tsMxs25zCb1kZFRYWT51+b5c0Sj/VYLOZk/3J1vqsJd9YBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATYS8Gad68udzutNNOcltQUCC3N954o9wOHz5cbq+44gqpO/zww+UxV6xYIbezZs2S26FDh8rtoYceKrerVq2S2969e8vtu+++K7fTp0+X2x9++EHq6tSpI4955ZVXyu3gwYPldtSoUXK7cuVKub3lllvktqysTG6POOIIuT344IPl9oQTTpC6N954Qx7zlFNOkdulS5c6Oc5sljcajcrtnDlz5DYvL09uzzrrLLm96aabpK5t27bymJ07d5bb/v37y22zZs08P38YH3/8sdx+8MEHcjtt2jS5Peecc+S2b9++cvv1119L3cUXXyyPWVVVJbcfffSR3FZUVMgt/ltisZjcJpNJJ8uQlZXlZBnUNicnRx4zNzdXbhOJhNzG43G5LS4udrIM1dXVcpufn+9kH3Oxz6RSKbmNRCJyGwwGnWzfyspKJ9cvNvu5zWNTn7dsruFsWptltVkHdevWdbIdbB5beXm53GZnZ3u+n9uc72zOzTbHpKt9waa1eWyuzuXhcNjz9Ru3WFab5webbeYF7qwDAAAAAAAAfILJOgAAAAAAAMAnmKwDAAAAAAAAfILJOgAAAAAAAMAnmKwDAAAAAAAAfILJOgAAAAAAAMAnmKwDAAAAAAAAfILJOgAAAAAAAMAnmKwDAAAAAAAAfILJOgAAAAAAAMAnwl4M0qZNG7nt1q2b3J5zzjly+95778ltnTp15PbBBx+UulAoJI951VVXye11110ntzbL0KFDB7lt0qSJ3G677bZy+9lnn8ntwoUL5fbnn3+Wuv33318e85prrpHb4447Tm6XLFni5Dg75ZRT5PaYY46R20MPPVRub7/9drmdMmWK1M2ePdvJz993333ltmHDhnL71ltvye13330nt127dpXbefPmyW1RUZHcdurUSeoefvhhecydd95Zbv/44w+5Pf744+V26NChTo6dwsJCuf3000+dLMOwYcPktnv37lL3448/ymPutttucvvII4/ILVCTWCwmr5xoNCq3OTk5chuPx+U2Pz9fblOplNRFIhF5TJs2Ly9PbsvKyjx/XEZVVZWT7ZBIJAIuqMtbXV29xffxYDDoZF+weS60WV6bfdfmOFPXQzKZlMe02b7hcNjJ48rNzQ1saTbrzOaYVMfNzs52cjy42hdsjnWb5yibx2ZzLrdZXpvjNysry/Pzh81zic3j8gJ31gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNM1gEAAAAAAAA+wWQdAAAAAAAA4BNhLwYZN26c3C5cuFBui4uL5XbJkiVyO3ToULl98803pe6VV16Rx2zWrJncfv/993I7b948ue3Xr5/cnnzyyXKbSqXk9oILLpDb2rVry+11110X8Nott9wit/vss4/cXn/99XI7depUuT3wwAPl9sMPP5Tbqqoquf3uu+/k9rjjjpO6KVOmONlv58+fH3Dhueeek9sbbrhBbk888US5PeKII+Q2NzdXbvfbbz+p69ixozzm5ZdfLrcDBgyQ23feeUduX375Zbm12R/r168vt7Nnz5bbG2+8UW579Oght82bN5e6bt26yWOWlpbKbVFRkdwCNVm1apW8coLBoJMVGQqFnDzHqtdbNo8rGo3KbTKZlNtEIiG34bAnv5ps1rqtrKx0srzqerBZVpvWZvvaPK5YLCa3WVn6fSK1atWS20gk4qRVjzOb5/js7Gy5raiokFubY93mvGSzvOXl5U5+Z7TZx6qrqz0/zm3223g87uQ8asPmvGCzL7jax2zOTfn5+VKXl5fn5Pcfm+czL3BnHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATYS8GKSsrk9s2bdrI7RFHHCG3kydPltuePXvKba9evaTutttuk8ds166d3D7//PNye/HFF8ttMpmU26FDh8rtggUL5Pbyyy+X29WrV8vtnXfeKXUFBQXymD169JDbb775Rm6vuuoquW3cuLHchkIhuf3ll1/ktl+/fnL71VdfeX4OmTp1qjzmHXfcIbfdu3eX28GDB8vtOeec42QfP+644+T21ltvldvLLrtMbvfee2+p69ChgzzmlVdeKbcNGjSQ2/r168vtLrvs4uT8XK9ePbkdP368k33szTfflNuGDRtK3Zdffun5mEa3bt2cnGvw31JdXS23wWDQ6bJ4vQyJRELq8vLy5DELCwvlNj8/38k1Zzwel9vKykq5jUajnq9b2+stm9aFqqoqJ9shK0u/96NWrVpOxk2lUnIbiUTkVv1dwWbb2ixrOKz/qm6zDDbr1qbNyclxckzatDbX06rc3Fwn29fmHGYzrs153+ax2TxH2JxvbPabPPGx2awDmzkBm+PBC9xZBwAAAAAAAPgEk3UAAAAAAACATzBZBwAAAAAAAPgEk3UAAAAAAACATzBZBwAAAAAAAPgEk3UAAAAAAACATzBZBwAAAAAAAPgEk3UAAAAAAACATzBZBwAAAAAAAPgEk3UAAAAAAACAT4S9GGT16tVy++yzz8rtn3/+KbctWrSQ25EjR8ptVpY2n3nSSSfJY37wwQdyG4lE5PaGG26Q2wEDBsjtL7/8IrcDBw6U28mTJ8vt7Nmz5fa4446TujPOOEMes6KiQm47duwotw0aNJDbUCgkt8cee6zcfvzxx3K7++67y21paannx0TDhg3lMWfMmCG33bt3l9vTTz9dbm+77Ta5rV27ttzuuOOOcnv22WfLbWVlpdyef/75Uvfuu+/KY3bt2lVuBw8eLLft27eX2/Hjx8tt37595faOO+6Q20ceeURui4qK5NbmeaqwsFDqFixYII/5+eefy63NuEBNYrGYk+ut7OxsJ+fVaDTq+WMLBoNO1oFNa/O4UqmUk9ZGdXW13Obm5sptOKz92lWnTh15zKqqKifXkeXl5U62QyKRcDJuMpmU2+LiYifL4OLYsVlfNse6zTnMZlyb48Hmdyub7auuM5vfU2zOCa62r3r+sF1fNtRrQ9v1UFZW5vnzSV5enpN1a3PseIE76wAAAAAAAACfYLIOAAAAAAAA8Akm6wAAAAAAAACfYLIOAAAAAAAA8Akm6wAAAAAAAACfYLIOAAAAAAAA8Akm6wAAAAAAAACfYLIOAAAAAAAA8Akm6wAAAAAAAACfYLIOAAAAAAAA8ImwF4N8+umncnvTTTfJ7QEHHCC3CxYskNujjz5absNhbRV9+eWX8phvvfWW3M6ePVtux44dK7c9e/aU24EDB8rtgAEDnKwHm32sXbt2UnfLLbfIY77xxhty27BhQ7mdOnWq3JaXl8vtCy+8ILd33XWX3D7++ONy+9JLL8lt3759pS4rS399oaioyMl56YQTTpDbXr16ye2LL74ot6+//rqT4zcYDMrtwQcfLHVXXXWVPOYRRxzh+bnZdr9t1qyZ3C5fvlxut9tuOyfLYLPNWrVqJbelpaVS17lzZ3nMadOmye1PP/0kt9tvv73c4r+lVq1acpuTkyO3oVDIyblq1apVcptKpaQuFot5Pqbt87HNecqmtVm3kUhEbnNzc53sN2rboEEDJ/ticXGxk30xkUg4WbeVlZVO9oV4PC630WjU83Vgc+xkZ2c7OX5t2mQyGdjSbM4L6jZzxeaYtFnW6upqJ8tQUFAgtzbPJzb7uc0xGROXwWZ92Ry/NucaL3BnHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPhH2YpDs7Gy5raiokNvXX39dbrOy9HnHtm3byu3FF18sdTNmzJDHPOyww+R23rx5cnvEEUfI7dFHH+1keQ888EC53WabbeR24sSJcjt06FCpGzJkiDzmQQcdJLfbb7+93E6dOlVuhw0bJrdHHXWU3B555JFyO2rUKLm988475bZTp05S1717d3nM22+/XW7PP/98uR0wYIDcLlmyRG4ffPBBuc3Ly5Pbu+++28m+26pVK6lr06aNPObhhx/u+bnZ9ny36667yu24cePktkOHDgEX3nvvPbmdO3eu3Krnx/nz5zs5dv744w+5/eKLL+QW/y0FBQVOzqupVEpuy8vL5ba6ujrgtVAoJLe5ublOrrtt2nA47GTcSCQit8FgUG5zcnLktlatWlKXn5/vZH3Z7Lc2+000GnWyvmyWIRaLyW08HpfbRCLh+c+32Q7JZNLJ8VBVVeWktVlemzkBm31MPSZsznc2+63N9rVpbdaXzXawaW2eU232x+LiYs/3hZDF+cPmnGDzXOIF7qwDAAAAAAAAfILJOgAAAAAAAMAnmKwDAAAAAAAAfILJOgAAAAAAAMAnmKwDAAAAAAAAfILJOgAAAAAAAMAnmKwDAAAAAAAAfILJOgAAAAAAAMAnmKwDAAAAAAAAfILJOgAAAAAAAMAnwl4Mkp2dLbeVlZVy+91338ntJZdcIrdNmjSR2+7du0vd5ZdfLo/5wgsvyO2QIUPk9tlnn5XbQw45RG4vu+wyuT3ggAPk9tZbb5XbuXPnej7uxIkT5THvvPNOuf3555/l9s0335Tbd999V24/+eQTuT333HPlds6cOXLbsWNHua2urpa6CRMmyGMWFBTIbVFRkdza7DevvPKKk3GHDx/uZH9s2rSp3O64445SN3v2bHnM3r17y+348eOdHGeDBg2S2+XLl8ttaWmp3Nqss/79+8vtU089JbeXXnqp5+fxhx9+WG6POuoouQVqUrduXXnlxONxua2oqJDbkpISuU0kEp4vbzKZ9Py52MjNzXWybmOxWMCFcDjsZHlDoZDcplIpz8e02WY2j8tmX8zPz3fyO6PNPpaTkyO3WVn6vSpVVVWenxNsjklX+63N8tpcv7jaH13sNzbPD3l5eZ4f50Y0GnWyzWzOozbbweax2Yxrsx6qxGOysLDQyfkuEokE/k3cWQcAAAAAAAD4BJN1AAAAAAAAgE8wWQcAAAAAAAD4BJN1AAAAAAAAgE8wWQcAAAAAAAD4BJN1AAAAAAAAgE8wWQcAAAAAAAD4BJN1AAAAAAAAgE8wWQcAAAAAAAD4BJN1AAAAAAAAgE+EvRhkzz33lNtEIiG3r776qtwuWrTISXv44YdLXdeuXeUxd9ppJ7nddttt5Xb58uVyO336dLn95ptv5Pbjjz+W2++++05uP/roI7ndbrvtpC6VSslj3njjjXLbsGFDuf3rr7/ktm/fvnKbm5srt8cdd5zcPvLII3I7fPhwua2urpa6k08+WR5z6NChchuLxeT2rrvuktvu3bvL7c477yy37du3l9t4PC63W2+9tdzecMMNUrdkyRJ5zKlTp8rtnDlz5LZp06ZyO3/+fLk98cQT5bZ+/fpy++mnn8rta6+9JrdLly6V27Fjx0rd+eefL4/5/PPPy+2wYcPkFqhJXl6evHIqKyudXMvatMFgUG5zcnKkLhKJOFnWiooKJ+u2tLRUbsvKyuQ2mUw6acNh/VeprKwszx+Xev1ke91rsw5cHQ821HVr5Ofne34OsTnXlJeXO1lfoVDIyXWvzTJEo9Etfpyp66GgoEAes169ek7Wrc3xW1VV5eTa32a/sWGzHmyOibC4L6jPkba/u9s8p3qBO+sAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPCJsBeDnHDCCXLbokULuT3jjDPkdrfddpPbhx9+WG7nz58vdfvss4+TZd1mm23k9rLLLpPbSy+9VG4jkYjczpw5U27PPPNMuR0zZozcVlRUSF0ikZDH/OOPP+S2cePGcjts2DC57dmzp9xeeOGFctutWze5LS0tldsLLrhAbnv16iV1u+yyizxm37595bZRo0Zy27x5cyfHwwMPPCC3TZo0kdt69erJ7fXXX+/5vlBSUiKPmZ2dLbcdO3aU27KyMrldtGiR3L7zzjtyO3jwYLlt1aqV3NauXVtuR4wYIbennXaa1K1cuVIes6qqysn5A/Di+iUWi8ltKBSS2/z8fCfnQBeSyaTcVldXy200GnWyHeLxuNxmZen3J9hcH9pcFwWDQc/XbW5urtzaPB+7Wgd5eXlOliGVSjnZF9RjorKyMuBCQUGBk/OdzXawsWLFCifXBDbbTF0PNucam59fVFQUcMFmGVydQ2yeI2z2BZs2Im5fm/Vl87uSzXW3F7izDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAnwh7MUh2drbcDhw4UG5PPPFEuX322WfldrvttpPbvffeW+r69+8vj1mnTh257dGjh9xOmjRJbnv37i23w4YNk9uRI0fKbSwWk9uePXvK7QsvvCB1n332mTxmfn6+3H7++edy27BhQ7mdOHGi3I4dO1Zug8Gg3L755ptye9xxx8nt7rvvLnX169eXx/zxxx/l9rTTTpPbPn36yO2ll14qt82aNZPbu+++O+DCnnvu6fl5dPvtt5fHXL16tdzef//9ctu8eXO57dy5s9wecsghcrvDDjvI7dy5c+V2yZIlcjto0CC5feKJJ6TurbfecnK+C4VCcgvUJBqNyiunurpabnNycpw8x8bjcSfXUC6OO5tr/2QyKbfhsP6rSVZWlpPtYNOmUinP14PN+opEInKbl5fnZP8qLS11Mq7N9rVZZyUlJZ7vCzaPy+Z3itzcXCfb12a/qaqqktvy8nIn29fV/uhifdWtW9fJOdfmdyCbc5jNdqioqHCyHWz23bj4POnqufffxp11AAAAAAAAgE8wWQcAAAAAAAD4BJN1AAAAAAAAgE8wWQcAAAAAAAD4BJN1AAAAAAAAgE8wWQcAAAAAAAD4BJN1AAAAAAAAgE8wWQcAAAAAAAD4BJN1AAAAAAAAgE8wWQcAAAAAAAD4RNiLQVq2bCm3n3zyidy+8847crt69Wq5/frrr+W2V69eUnfsscfKY1500UVy+9xzz8ntHnvsIbefffaZk3V70kknye3uu+8ut40aNZLbRYsWef64pk2bJrfnnnuu3F566aVOtu+BBx4ot3feeafcLliwQG6POOIIuf3hhx+kbuTIkfKYderUkdtRo0bJbceOHeX2jTfekNttt91Wbh9++GG57du3r9xOmDDB82NCPR6N0047TW7fe+89ua1Vq5bc1q1bV26HDh0qt/vss4/cDhgwwMk622qrreS2uLhY6o477jh5zPPPP19ue/bsKbdATZYvXy6vnHBYvyQOhUJyG4lE5DYYDMptZWWl1CWTSSfLarMOcnJynLSJREJu4/G4k+2QSqU8X2f5+fnymNnZ2U7Wgc26zcrS7/2w2R9t9rFYLOZkm6nLG41GnexfhYWFTh6XzfLa7Deu9gWbtry83PN1YPPzbca12b42bM6jNtvM1bk8Ly/P8+1bVVUlj7lq1aqAX3FnHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPhH2YpAff/xRbjt27Ci3rVu3ltsHHnhAbuvVqye3gwYNkrp4PC6P2b17d7n94IMP5PbCCy+U24YNG8ptjx495Pa3336T23HjxsntiSeeKLcHH3yw1C1btkwec+7cuXJ73XXXye1jjz0mtz179pTbxYsXy+2nn34qtzfccIPcPv7443J7yCGHSF2zZs3kMefNmye3paWlcnv11Vc72Q6rV6+W26OPPlpuFy1aJLdLly6V2wkTJkhdmzZtnJybhw0bJrcvvPCC3B511FFye+qpp8rto48+KreNGjWS29dee01u27ZtK7cPP/yw1E2fPl0ec+rUqXL7ySefyO2kSZPkFv8tNufVcFi/JC4qKnIybkVFhdzGYjGpSyQS8phZWfpr+KFQSG5tliGZTMptVVWV5+vLdptFIhG5zcvLk7pUKiWPafP7hw2bfSE3N9fJurW5JrBZBpt9TD2HqNvWyMnJkdtoNCq3f/zxh9yWlZXJ7apVqwIu2Bw7Nueb8vJyqauurpbHLCkpcbKP2+yLNuvA5hxiM67N8trs57Vq1Qp4LWWxDmy2r6tzbk24sw4AAAAAAADwCSbrAAAAAAAAAJ9gsg4AAAAAAADwCSbrAAAAAAAAAJ9gsg4AAAAAAADwCSbrAAAAAAAAAJ9gsg4AAAAAAADwCSbrAAAAAAAAAJ9gsg4AAAAAAADwibAXg1xwwQVy27x5c7m96aab5PbRRx+V21tuuUVuX3vtNak766yz5DEff/xxuW3SpIncjhkzxsm4zz33nNyWlZXJ7T333CO3ffr0kduJEydK3dKlS+Uxn376abmdOXOm3I4YMUJur7/+ermdNWuW3Nrsu0VFRU72hbfeekvqXn75ZXnMQw89VG4/++wzuS0uLpbbnJwcue3Ro4fcfvXVV3Lbrl07ub3iiivkdt9995W6XXbZRR7zzz//lNsvv/xSbg866CC5LSgokNs6derI7SmnnOLkmCwpKZHbiooKud1555097YytttpKbs8880y5BWpSWloqr5y8vDy5zc/Pl9tEIhFwIRaLbdGfbyM7O1tug8Gg5+vAqK6uDrhg85yhPrasrCwn68vV48rNzXVyXWRzzWmzDKlUyvPWZl9MJpNyG4/H5Xb16tVyu3LlSifXDjbnRpvta7PfqPuCzX4QiUTktrCw0Mnx62pfcMXmucdmPWSLzyehUEge02Zf+LdxZx0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD4R9mKQlStXym3z5s3l9uGHH5bbVq1aye24cePktnbt2lKXl5cnj3nmmWfKbSgUktv8/Hy5ffbZZ+W2srJSbktLS+X2k08+kdtRo0bJ7fTp06Xuvvvuk8ccNGiQ5z/faN26tdyOGDFCbm+//Xa5HT58uNzutddeTvaF7bffXuouu+wyJ49r8eLFcvvaa6/JbYMGDeS2vLzcybodP3683Hbt2lVuS0pKpG7YsGHymB9++KHcbrPNNnI7efJkuU0kEnJ7wgknyO2ll14qtzb7+ZFHHulk/Z511llSF4vF5DHHjBkjty+++KLc7rrrrnKL/5ZgMOjkestGOKxfaqdSKbnNytJeb6+urnayvmwel01rsx0ikYjcJpNJJ+PaXHur2ywajTrZZ7Kzs+XW5vca9XHZbt/c3Fy5zcnJcfJ7jfocF4/HneyLZWVlTn4fV6/hbJfXZpvZ7GNFRUVOzjcuzgk2x5nNuq2qqnKyj9ucb2zYrAeb9eviXFNQUOBkXC9wZx0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD4R9mKQ2267TW47deokt6effrrc7rbbbnJ7/vnny+3UqVOlLhgMymPefPPNcrvjjjvK7axZs+R21113ldtHH31Ubtu3by+3AwYMkNv33ntPbnv37i11Xbt2lcf86quv5LZp06Zy+/HHHztpt99+e7kdOXKk3Hbp0kVun3nmGbm9+uqrpW7BggVOttmTTz4ptzbH+sqVK+X2yCOPlNvnn3/eyTlk6623lttXXnlF6vr37y+PWVJSIrd777233BYXF8ttmzZt5La0tFRup0yZIreffvqp3O6yyy5y++qrr8rtJZdcInXdunVz8lxSXV0tt0BNatWqJa+cnJwcuc3Pz3fynGHTZmdnS11VVZU8ZiwWk9t4PC63RUVFcpubmyu3yWTSyfLm5eU5aROJhKfb1mZM2/3L5nGFQiG5TaVSTvZHm/3cpo1Go56PafP8ZrOP27Q2x5nN/li7du0tfs5Vz/s2+63NcWazHfxwrWNzTNqwOefabIs88dyUlZXlZPv+27izDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAn2CyDgAAAAAAAPAJJusAAAAAAAAAnwimUqnU5g6ybNkyuX366afltnbt2nK76667yu23334rtz///LPUPfTQQ/KYq1evlttPP/1UbufOnSu3bdu2dbIMjRs3lttLLrlEbseMGSO3f/zxh9Rde+218pgFBQVy269fP7m999575XbOnDlyO2vWLLndYYcd5Pavv/6S25122kluzz33XKm7++675TEffPBBuf3ll1/ktqKiQm5vuukmuf3kk0/kNhaLOTnWbcY97LDDpG7atGnymK1atZLbUCjk5Jjs06eP3O61115ym5OT4+R8M3r0aCfnBfVcvmjRInnMk046SW4nT54st3vuuafc4r9l/PjxTsa1OUaTyaTcVlVVye1vv/3m+fN2MBiU20aNGslt3bp15TYvL09uKysrnTy/2awHm3N7NBr1/DojkUjIbW5urtxGIhEn28xm3cbjcSfHjs36LSkp2aKPy2Yft/mV3mab5efnO2ltfs+3adVlsDl2bLZDaWmpk3HV84ft8ZuV5ebeLZvnPpvljYnncpvHZXNOsBn3mmuukdsaf95mjwAAAAAAAADAE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD7BZB0AAAAAAADgE0zWAQAAAAAAAD4R9mKQBQsWyO0bb7wht1OnTpXbTp06ye24cePk9rnnnpO6oUOHymNOnDhRbgcMGCC3O++8s9x+9NFHchuJROR2v/32k9sRI0bI7eeffy63P//8s9R99dVX8pjV1dVO9sUzzjhDbpPJpNxOnjzZyfF7ww03yO11110nt59++qnUDR48WB7z9ttvl9s777xTbisrK+V25cqVctuhQwe5LSsrk9toNCq3V111ldzOmzdP6vLy8uQx77//frn94Ycf5PaUU06R2xdffFFuu3TpIrfl5eVOzjc2y3DCCSd4vu+WlJTIY65YsUJu+/XrJ7fvvvuu3OK/xeb8k0ql5DY7O1tuE4mEk+f5YDAodVlZWU7OPVVVVXIbCoXkNicnx8n6shlXXbe21OXNz893sh1sHpfNPm7ze4LNNYnNMVlRUSG3sVjM8/Vg87hs2By/4bD+a73NPlavXj0ny2DDZpup68zmeLDZF22OSZvnBxs228Hm/GyzP9psMxfLG4/HnTz32awvL3BnHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPsFkHQAAAAAAAOATTNYBAAAAAAAAPhFMpVKpLb0QAAAAAAAAALizDgAAAAAAAPAN3gYLAAAAAAAA+ASTdQAAAAAAAIBPMFkHAAAAAAAA+ASTdQAAAAAAAIBPMFkHAAAAAAAA+ASTdQAAAAAAAIBPMFkHAAAAAAAA+ASTdQAAAAAAAIBPMFkHAAAAAAAA+ASTdQAAAAAAAIBPMFkHAAAAAAAA+ASTdQAAAAAAAIBPMFkHAAAAAAAA+ASTdQAAAAAAAIBPMFkHAAAAAAAABPzh/wF3H3T8tq0kjAAAAABJRU5ErkJggg=="
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Differentiable design-region parameterization.\n",
    "filter_project = make_filter_and_project(filter_radius, dl_design_region)\n",
    "design_region_geo = td.Box(size=(lx, ly, lz), center=(0, 0, 0))\n",
    "\n",
    "\n",
    "def get_density(params: np.ndarray, beta: float) -> np.ndarray:\n",
    "    return filter_project(params, beta=beta)\n",
    "\n",
    "\n",
    "def make_eps(params: np.ndarray, beta: float) -> np.ndarray:\n",
    "    density = get_density(params, beta=beta)\n",
    "    # Official 2D WDM example rescales between air and silicon.\n",
    "    return rescale(density, n_air**2, n_si**2)\n",
    "\n",
    "\n",
    "def make_custom_medium(params: np.ndarray, beta: float) -> td.Structure:\n",
    "    eps = make_eps(params, beta).reshape((nx, ny, 1))\n",
    "    xs = anp.linspace(-lx / 2, lx / 2, nx)\n",
    "    ys = anp.linspace(-ly / 2, ly / 2, ny)\n",
    "    coords = dict(x=xs, y=ys, z=[0.0])\n",
    "    eps_arr = td.ScalarFieldDataArray(data=eps, coords=coords)\n",
    "    medium = td.CustomMedium(permittivity=eps_arr)\n",
    "    return td.Structure(geometry=design_region_geo, medium=medium)\n",
    "\n",
    "\n",
    "def get_sim(params, beta, include_extra_mnts: bool = True):\n",
    "    design_region = make_custom_medium(params, beta=beta)\n",
    "    design_override = td.MeshOverrideStructure(\n",
    "        geometry=design_region.geometry,\n",
    "        dl=[dl_design_region, dl_design_region, dl_design_region],\n",
    "    )\n",
    "    grid_spec = sim_static.grid_spec.updated_copy(\n",
    "        override_structures=list(sim_static.grid_spec.override_structures)\n",
    "        + [design_override]\n",
    "    )\n",
    "    update_dict = dict(\n",
    "        structures=list(sim_static.structures) + [design_region], grid_spec=grid_spec\n",
    "    )\n",
    "    if not include_extra_mnts:\n",
    "        update_dict[\"monitors\"] = mnts_mode\n",
    "    return sim_static.updated_copy(**update_dict)\n",
    "\n",
    "\n",
    "rng = np.random.default_rng(RANDOM_SEED)\n",
    "params0 = rng.random((nx, ny))\n",
    "params = np.array(params0, dtype=float)\n",
    "\n",
    "fig, axs = plt.subplots(1, 2, figsize=(8, 3.5), dpi=150, constrained_layout=True)\n",
    "axs[0].imshow(params0.T, origin=\"lower\", cmap=\"gray\", vmin=0, vmax=1)\n",
    "axs[0].set_title(\"Initial raw parameters\")\n",
    "axs[0].axis(\"off\")\n",
    "axs[1].imshow(\n",
    "    get_density(params0, beta=BETA_MIN).T, origin=\"lower\", cmap=\"gray\", vmin=0, vmax=1\n",
    ")\n",
    "axs[1].set_title(\"Initial filtered density\")\n",
    "axs[1].axis(\"off\")\n",
    "plt.show()\n",
    "\n",
    "sim0 = get_sim(params0, beta=BETA_MIN)\n",
    "fig, ax = plt.subplots(1, 1, figsize=(6, 5), dpi=150)\n",
    "sim0.plot_eps(z=0, ax=ax, monitor_alpha=0.15, source_alpha=0.5)\n",
    "ax.set_aspect(\"equal\")\n",
    "ax.set_title(\"Initial 2D WDM permittivity\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "510f7665",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Objective and gradient function are ready.\n"
     ]
    }
   ],
   "source": [
    "# Objective, metrics, and autograd value/gradient wrapper.\n",
    "import xarray as xr\n",
    "\n",
    "\n",
    "def average_over_channel(spectrum: xr.DataArray, fmin: float, fmax: float):\n",
    "    freqs = spectrum.f\n",
    "    freqs_in_channel = np.logical_and(freqs >= fmin, freqs <= fmax).values\n",
    "    num_freqs = np.sum(freqs_in_channel)\n",
    "    return spectrum.values @ freqs_in_channel / num_freqs\n",
    "\n",
    "\n",
    "def get_power(sim_data: td.SimulationData, mnt_index: int, freq_index: int):\n",
    "    mnt_name = mnts_mode[mnt_index].name\n",
    "    mnt_data = sim_data[mnt_name]\n",
    "    fmin_channel, fmax_channel = channel_bounds[freq_index]\n",
    "    amp = mnt_data.amps.sel(direction=\"+\", mode_index=0)\n",
    "    power_spectrum = anp.abs(amp) ** 2\n",
    "    return average_over_channel(power_spectrum, fmin=fmin_channel, fmax=fmax_channel)\n",
    "\n",
    "\n",
    "def get_metric(sim_data: td.SimulationData, mnt_index: int, leak_weight: float = 1.0):\n",
    "    power_all = [\n",
    "        get_power(sim_data=sim_data, mnt_index=mnt_index, freq_index=j)\n",
    "        for j in range(num_freqs_design)\n",
    "    ]\n",
    "    power_transmitted = power_all[mnt_index]\n",
    "    power_leaked = sum(power_all) - power_transmitted\n",
    "    avg_power_leaked = power_leaked / (num_freqs_design - 1)\n",
    "    return power_transmitted - leak_weight * avg_power_leaked\n",
    "\n",
    "\n",
    "penalty = make_erosion_dilation_penalty(\n",
    "    filter_radius, dl_design_region, beta=beta_penalty\n",
    ")\n",
    "\n",
    "\n",
    "def objective(\n",
    "    params, beta: float, penalty_weight: float = 1.0, leak_weight: float = 0.0\n",
    "):\n",
    "    sim = get_sim(params, beta=beta, include_extra_mnts=False)\n",
    "    sim_data = web.run(sim, task_name=\"wdm_2d_opt_step\", verbose=False)\n",
    "    metrics = []\n",
    "    for mnt_index in range(num_freqs_design):\n",
    "        metrics.append(\n",
    "            get_metric(sim_data=sim_data, mnt_index=mnt_index, leak_weight=leak_weight)\n",
    "        )\n",
    "    metric = smooth_min(anp.array(metrics))\n",
    "    penalty_value = penalty(params)\n",
    "    return metric - penalty_weight * penalty_value\n",
    "\n",
    "\n",
    "grad_fn = ag.value_and_grad(objective)\n",
    "print(\"Objective and gradient function are ready.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08ca4e2b",
   "metadata": {},
   "source": [
    "## Run the Optimization\n",
    "\n",
    "We run a simple explicit Adam loop, submitting one [`Simulation`](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Simulation.html) per step and ramping the projection sharpness `beta` and the leakage weight over the schedule.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "83b0ffaa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step 001/25 | J=-1.57521e+00 | beta=1.00 | leak=0.00 | grad_norm=1.021e-01\n",
      "step 002/25 | J=-1.42089e+00 | beta=3.04 | leak=0.04 | grad_norm=2.110e-01\n",
      "step 003/25 | J=-1.38867e+00 | beta=5.08 | leak=0.08 | grad_norm=2.617e-01\n",
      "step 004/25 | J=-1.30408e+00 | beta=7.12 | leak=0.12 | grad_norm=2.934e-01\n",
      "step 005/25 | J=-1.12553e+00 | beta=9.17 | leak=0.17 | grad_norm=4.411e-01\n",
      "step 006/25 | J=-1.23426e+00 | beta=11.21 | leak=0.21 | grad_norm=1.260e+00\n",
      "step 007/25 | J=-1.17771e+00 | beta=13.25 | leak=0.25 | grad_norm=1.060e+00\n",
      "step 008/25 | J=-9.89601e-01 | beta=15.29 | leak=0.29 | grad_norm=6.982e-01\n",
      "step 009/25 | J=-9.22952e-01 | beta=17.33 | leak=0.33 | grad_norm=5.219e-01\n",
      "step 010/25 | J=-8.03133e-01 | beta=19.38 | leak=0.38 | grad_norm=5.210e-01\n",
      "step 011/25 | J=-7.27406e-01 | beta=21.42 | leak=0.42 | grad_norm=5.073e-01\n",
      "step 012/25 | J=-6.48923e-01 | beta=23.46 | leak=0.46 | grad_norm=4.515e-01\n",
      "step 013/25 | J=-6.05848e-01 | beta=25.50 | leak=0.50 | grad_norm=3.738e-01\n",
      "step 014/25 | J=-5.68984e-01 | beta=27.54 | leak=0.54 | grad_norm=3.219e-01\n",
      "step 015/25 | J=-5.28063e-01 | beta=29.58 | leak=0.58 | grad_norm=3.170e-01\n",
      "step 016/25 | J=-5.06918e-01 | beta=31.62 | leak=0.62 | grad_norm=4.127e-01\n",
      "step 017/25 | J=-4.63300e-01 | beta=33.67 | leak=0.67 | grad_norm=2.580e-01\n",
      "step 018/25 | J=-4.40811e-01 | beta=35.71 | leak=0.71 | grad_norm=2.503e-01\n",
      "step 019/25 | J=-4.15600e-01 | beta=37.75 | leak=0.75 | grad_norm=1.871e-01\n",
      "step 020/25 | J=-3.89924e-01 | beta=39.79 | leak=0.79 | grad_norm=1.390e-01\n",
      "step 021/25 | J=-3.73274e-01 | beta=41.83 | leak=0.83 | grad_norm=2.015e-01\n",
      "step 022/25 | J=-3.48840e-01 | beta=43.88 | leak=0.88 | grad_norm=1.378e-01\n",
      "step 023/25 | J=-3.29285e-01 | beta=45.92 | leak=0.92 | grad_norm=1.157e-01\n",
      "step 024/25 | J=-3.12573e-01 | beta=47.96 | leak=0.96 | grad_norm=1.226e-01\n",
      "step 025/25 | J=-2.97121e-01 | beta=50.00 | leak=1.00 | grad_norm=1.426e-01\n"
     ]
    }
   ],
   "source": [
    "# Run the 2D adjoint optimization.\n",
    "# This cell submits Tidy3D jobs. It is the slow/cost-bearing part of the notebook.\n",
    "def adam_update(params, grad, state, lr=0.1, beta1=0.9, beta2=0.999, eps=1e-8):\n",
    "    t, m, v = state\n",
    "    t += 1\n",
    "    m = beta1 * m + (1 - beta1) * grad\n",
    "    v = beta2 * v + (1 - beta2) * (grad * grad)\n",
    "    m_hat = m / (1 - beta1**t)\n",
    "    v_hat = v / (1 - beta2**t)\n",
    "    params = params + lr * m_hat / (np.sqrt(v_hat) + eps)\n",
    "    params = np.clip(params, 0.0, 1.0)\n",
    "    return params, (t, m, v)\n",
    "\n",
    "\n",
    "params = np.array(params0, dtype=float)\n",
    "adam_state = (0, np.zeros_like(params), np.zeros_like(params))\n",
    "Js = []\n",
    "params_history = [params.copy()]\n",
    "beta_history = []\n",
    "grad_norm_history = []\n",
    "\n",
    "for i in range(NUM_OPT_STEPS):\n",
    "    perc_done = 0.0 if NUM_OPT_STEPS == 1 else i / (NUM_OPT_STEPS - 1)\n",
    "    beta_i = BETA_MIN * (1 - perc_done) + BETA_MAX * perc_done\n",
    "    leak_weight = LEAK_WEIGHT_START * (1 - perc_done) + LEAK_WEIGHT_END * perc_done\n",
    "\n",
    "    value, gradient = grad_fn(\n",
    "        params,\n",
    "        beta=beta_i,\n",
    "        penalty_weight=PENALTY_WEIGHT,\n",
    "        leak_weight=leak_weight,\n",
    "    )\n",
    "    value = float(value)\n",
    "    gradient = np.array(gradient, dtype=float)\n",
    "    grad_norm = float(np.linalg.norm(gradient))\n",
    "\n",
    "    params, adam_state = adam_update(params, gradient, adam_state, lr=LEARNING_RATE)\n",
    "\n",
    "    Js.append(value)\n",
    "    beta_history.append(beta_i)\n",
    "    grad_norm_history.append(grad_norm)\n",
    "    params_history.append(params.copy())\n",
    "\n",
    "    print(\n",
    "        f\"step {i + 1:03d}/{NUM_OPT_STEPS} | J={value:.5e} | beta={beta_i:.2f} | leak={leak_weight:.2f} | grad_norm={grad_norm:.3e}\"\n",
    "    )\n",
    "\n",
    "    if (\n",
    "        (i == 0)\n",
    "        or ((i + 1) % max(1, NUM_OPT_STEPS // 5) == 0)\n",
    "        or (i + 1 == NUM_OPT_STEPS)\n",
    "    ):\n",
    "        density_i = get_density(params, beta_i)\n",
    "        plt.figure(figsize=(3, 3), dpi=140)\n",
    "        plt.imshow(density_i.T, origin=\"lower\", cmap=\"gray\", vmin=0, vmax=1)\n",
    "        plt.title(f\"Density after step {i + 1}\")\n",
    "        plt.axis(\"off\")\n",
    "        plt.show()\n",
    "\n",
    "fig, axs = plt.subplots(1, 2, figsize=(10, 3.6), dpi=150, constrained_layout=True)\n",
    "axs[0].plot(np.arange(1, len(Js) + 1), Js, marker=\"o\")\n",
    "axs[0].set_title(\"Optimization objective\")\n",
    "axs[0].set_xlabel(\"Step\")\n",
    "axs[0].set_ylabel(\"J\")\n",
    "axs[0].grid(True, alpha=0.3)\n",
    "axs[1].plot(\n",
    "    np.arange(1, len(grad_norm_history) + 1),\n",
    "    grad_norm_history,\n",
    "    marker=\"o\",\n",
    "    color=\"tab:orange\",\n",
    ")\n",
    "axs[1].set_title(\"Gradient norm\")\n",
    "axs[1].set_xlabel(\"Step\")\n",
    "axs[1].set_ylabel(\"||grad||\")\n",
    "axs[1].grid(True, alpha=0.3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "532bba34",
   "metadata": {},
   "source": [
    "## Final Evaluation and Results\n",
    "\n",
    "We evaluate the final design over a dense frequency grid and inspect the modal transmission spectra and the field intensity at each design wavelength.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d3e6312b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Submitting final evaluation simulation...\n",
      "Final design powers: {'1310 nm': 0.9489002436461023, '1550 nm': 0.8815770990144758}\n"
     ]
    }
   ],
   "source": [
    "# Final Tidy3D evaluation with spectra and fields.\n",
    "params_final = params_history[-1]\n",
    "beta_final = beta_history[-1] if beta_history else BETA_MAX\n",
    "\n",
    "density_final = np.array(get_density(params_final, beta_final)).reshape(nx, ny)\n",
    "binary_design = (density_final >= 0.5).astype(np.uint8)\n",
    "\n",
    "num_freqs_measure = 151\n",
    "freqs_measure = np.linspace(\n",
    "    freq_min - df_design, freq_max + df_design, num_freqs_measure\n",
    ")\n",
    "sim_final = get_sim(params_final, beta=beta_final, include_extra_mnts=True)\n",
    "for i in range(num_freqs_design):\n",
    "    sim_final = sim_final.updated_copy(freqs=freqs_measure, path=f\"monitors/{i}\")\n",
    "    sim_final = sim_final.updated_copy(\n",
    "        freqs=freqs_measure, path=f\"monitors/{i + num_freqs_design}\"\n",
    "    )\n",
    "\n",
    "fig, axs = plt.subplots(1, 3, figsize=(13, 3.8), dpi=160, constrained_layout=True)\n",
    "axs[0].imshow(density_final.T, origin=\"lower\", cmap=\"gray\", vmin=0, vmax=1)\n",
    "axs[0].set_title(\"Final density\")\n",
    "axs[0].axis(\"off\")\n",
    "axs[1].imshow(binary_design.T, origin=\"lower\", cmap=\"gray_r\", vmin=0, vmax=1)\n",
    "axs[1].set_title(\"Final binary design\")\n",
    "axs[1].axis(\"off\")\n",
    "sim_final.plot_eps(z=0, ax=axs[2], monitor_alpha=0, source_alpha=0)\n",
    "axs[2].set_title(\"Final 2D permittivity\")\n",
    "axs[2].set_aspect(\"equal\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Submitting final evaluation simulation...\")\n",
    "sim_data_final = web.run(sim_final, task_name=\"wdm_2d_final_eval\", verbose=False)\n",
    "\n",
    "plt.figure(figsize=(8, 4), dpi=150)\n",
    "final_powers = {}\n",
    "for i, freq in enumerate(freqs_design):\n",
    "    mnt = sim_data_final[mnts_mode[i].name]\n",
    "    powers = np.abs(mnt.amps.sel(direction=\"+\", mode_index=0)) ** 2\n",
    "    freqs_sim = np.array(powers.f)\n",
    "    wavelengths_nm = 1000 * td.C_0 / freqs_sim\n",
    "    power_at_design = float(powers.sel(f=freq, method=\"nearest\"))\n",
    "    final_powers[channel_names[i]] = power_at_design\n",
    "    loss_db_spectrum = 10 * np.log10(np.maximum(np.array(powers.values), 1e-12))\n",
    "    loss_db_design = 10 * np.log10(max(power_at_design, 1e-12))\n",
    "    wvl_nm = 1000 * td.C_0 / freq\n",
    "    fmin, fmax = channel_bounds[i]\n",
    "    plt.axvspan(1000 * td.C_0 / fmin, 1000 * td.C_0 / fmax, alpha=0.12)\n",
    "    plt.plot(\n",
    "        wavelengths_nm, loss_db_spectrum, label=f\"output {i} target {channel_names[i]}\"\n",
    "    )\n",
    "    plt.scatter([wvl_nm], [loss_db_design], 80, marker=\"*\")\n",
    "plt.xlabel(\"Wavelength (nm)\")\n",
    "plt.ylabel(\"Mode power (dB)\")\n",
    "plt.title(\"Final WDM modal transmission\")\n",
    "plt.grid(True, alpha=0.3)\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(\"Final design powers:\", final_powers)\n",
    "\n",
    "fig, axes = plt.subplots(\n",
    "    1,\n",
    "    num_freqs_design,\n",
    "    figsize=(6 * num_freqs_design, 4.5),\n",
    "    dpi=170,\n",
    "    constrained_layout=True,\n",
    ")\n",
    "if num_freqs_design == 1:\n",
    "    axes = [axes]\n",
    "for freq, name, ax in zip(freqs_design, channel_names, axes):\n",
    "    sim_data_final.plot_field(\"field\", \"E\", \"abs^2\", f=freq, ax=ax)\n",
    "    ax.set_title(f\"Field intensity at {name}\")\n",
    "    ax.set_xlabel(\"x (um)\")\n",
    "    ax.set_ylabel(\"y (um)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "fbfb13d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CNN mask shape: (125, 125)\n",
      "CNN mask fill fraction: 0.178432\n",
      "Saved: outputs/wdm_2d_cnn_ig/optimized_wdm_cnn_mask.npy\n"
     ]
    }
   ],
   "source": [
    "# Convert final optimized 2D design to the CNN training-mask convention: 125 x 125 over 5 um x 5 um.\n",
    "def rasterize_for_cnn(binary_design: np.ndarray) -> np.ndarray:\n",
    "    assert binary_design.shape == (nx, ny)\n",
    "    pixel = cnn_span / cnn_pixels\n",
    "    xs = -cnn_span / 2 + (np.arange(cnn_pixels) + 0.5) * pixel\n",
    "    ys = -cnn_span / 2 + (np.arange(cnn_pixels) + 0.5) * pixel\n",
    "    X, Y = np.meshgrid(xs, ys, indexing=\"ij\")\n",
    "    mask = np.zeros((cnn_pixels, cnn_pixels), dtype=np.uint8)\n",
    "\n",
    "    in_design = (np.abs(X) <= lx / 2) & (np.abs(Y) <= ly / 2)\n",
    "    ix = np.floor((X[in_design] + lx / 2) / lx * nx).astype(int)\n",
    "    iy = np.floor((Y[in_design] + ly / 2) / ly * ny).astype(int)\n",
    "    ix = np.clip(ix, 0, nx - 1)\n",
    "    iy = np.clip(iy, 0, ny - 1)\n",
    "    mask[in_design] = binary_design[ix, iy]\n",
    "\n",
    "    input_port = (X >= -cnn_span / 2) & (X <= -lx / 2) & (np.abs(Y) <= wg_width / 2)\n",
    "    mask[input_port] = 1\n",
    "    for cy in centers_y:\n",
    "        out_port = (\n",
    "            (X >= lx / 2) & (X <= cnn_span / 2) & (np.abs(Y - cy) <= wg_width / 2)\n",
    "        )\n",
    "        mask[out_port] = 1\n",
    "    return mask\n",
    "\n",
    "\n",
    "cnn_mask = rasterize_for_cnn(binary_design)\n",
    "assert cnn_mask.shape == (125, 125)\n",
    "assert set(np.unique(cnn_mask)).issubset({0, 1})\n",
    "np.save(OUT_DIR / \"optimized_wdm_cnn_mask.npy\", cnn_mask)\n",
    "\n",
    "fig, axs = plt.subplots(1, 3, figsize=(12, 3.8), dpi=160, constrained_layout=True)\n",
    "axs[0].imshow(density_final.T, origin=\"lower\", cmap=\"gray\", vmin=0, vmax=1)\n",
    "axs[0].set_title(\"Optimized density\\n2 um design region\")\n",
    "axs[0].axis(\"off\")\n",
    "axs[1].imshow(binary_design.T, origin=\"lower\", cmap=\"gray_r\", vmin=0, vmax=1)\n",
    "axs[1].set_title(f\"Optimized binary design\\n{nx} x {ny}\")\n",
    "axs[1].axis(\"off\")\n",
    "axs[2].imshow(cnn_mask, cmap=\"gray_r\", origin=\"upper\", vmin=0, vmax=1)\n",
    "axs[2].set_title(\n",
    "    f\"CNN-ready optimized mask\\n{cnn_mask.shape}, fill={cnn_mask.mean():.3f}\"\n",
    ")\n",
    "axs[2].axis(\"off\")\n",
    "plt.suptitle(\"Optimized WDM design to CNN-ready mask\")\n",
    "plt.show()\n",
    "\n",
    "print(\"CNN mask shape:\", cnn_mask.shape)\n",
    "print(\"CNN mask fill fraction:\", float(cnn_mask.mean()))\n",
    "print(\"Saved:\", OUT_DIR / \"optimized_wdm_cnn_mask.npy\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd39711d",
   "metadata": {},
   "source": [
    "## CNN Integrated Gradients Attribution\n",
    "\n",
    "With a trained checkpoint supplied, we pass the rasterized optimized mask through the CNN and compute [Integrated Gradients](https://arxiv.org/abs/1703.01365) attributions, which highlight the pixels that most influence the CNN output. These cells are skipped when no checkpoint is available.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "385d447a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Prepare the optimized mask tensor for the CNN and IG path, if a checkpoint was supplied.\n",
    "if RUN_CNN_IG:\n",
    "    x_opt = to_bchw_1ch(cnn_mask)\n",
    "    model.eval()\n",
    "    with torch.no_grad():\n",
    "        pred1550 = float(model(x_opt).detach().cpu().item())\n",
    "else:\n",
    "    x_opt = None\n",
    "    pred1550 = None\n",
    "    print(\"Skipping CNN prediction: trained checkpoint not supplied.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "8df37d6c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "IG shape: (125, 125)\n",
      "IG finite: True\n",
      "IG min/max: -0.0012693769531324506 0.002048900816589594\n"
     ]
    }
   ],
   "source": [
    "# Simple Integrated Gradients through the CNN.\n",
    "def integrated_gradients(\n",
    "    model: torch.nn.Module,\n",
    "    x: torch.Tensor,\n",
    "    target_fn: Callable[[torch.Tensor], torch.Tensor] = lambda y: y.squeeze(1),\n",
    "    baseline: Optional[torch.Tensor] = None,\n",
    "    steps: int = 1000,\n",
    "    batch_size: int = 64,\n",
    ") -> torch.Tensor:\n",
    "    model.eval()\n",
    "    x = x.detach().to(device)\n",
    "    if baseline is None:\n",
    "        baseline = torch.zeros_like(x, device=device)\n",
    "    else:\n",
    "        baseline = baseline.detach().to(device)\n",
    "\n",
    "    alphas = torch.linspace(0.0, 1.0, steps, device=device)\n",
    "    weights = torch.ones(steps, device=device)\n",
    "    weights[0] = 0.5\n",
    "    weights[-1] = 0.5\n",
    "    weights = weights / (steps - 1)\n",
    "    total_grad = torch.zeros_like(x, device=device)\n",
    "\n",
    "    for start in range(0, steps, batch_size):\n",
    "        end = min(steps, start + batch_size)\n",
    "        a = alphas[start:end].view(-1, 1, 1, 1)\n",
    "        w = weights[start:end].view(-1, 1, 1, 1)\n",
    "        x_batch = baseline + a * (x - baseline)\n",
    "        x_batch.requires_grad_(True)\n",
    "        out = model(x_batch)\n",
    "        tgt = target_fn(out)\n",
    "        grads = torch.autograd.grad(\n",
    "            tgt,\n",
    "            x_batch,\n",
    "            torch.ones_like(tgt),\n",
    "            retain_graph=False,\n",
    "            create_graph=False,\n",
    "        )[0]\n",
    "        total_grad += (grads * w).sum(dim=0, keepdim=True)\n",
    "    return (x - baseline) * total_grad\n",
    "\n",
    "\n",
    "IG_STEPS = 1000\n",
    "if RUN_CNN_IG:\n",
    "    ig_opt = integrated_gradients(model, x_opt, steps=IG_STEPS, batch_size=64)\n",
    "    ig_np = ig_opt.squeeze().detach().cpu().numpy()\n",
    "    print(\"IG shape:\", ig_np.shape)\n",
    "    print(\"IG finite:\", bool(np.isfinite(ig_np).all()))\n",
    "    print(\"IG min/max:\", float(ig_np.min()), float(ig_np.max()))\n",
    "    assert np.isfinite(ig_np).all()\n",
    "else:\n",
    "    ig_np = None\n",
    "    print(\"Skipping IG computation: trained checkpoint not supplied.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4422f214",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved IG array: outputs/wdm_2d_cnn_ig/ig/optimized_wdm_ig_power1550.npy\n"
     ]
    }
   ],
   "source": [
    "# IG visualizations: raw, absolute, hotspot overlay, and signed contribution overlay.\n",
    "if RUN_CNN_IG:\n",
    "\n",
    "    def normalize_01(arr, eps=1e-12):\n",
    "        arr = np.asarray(arr, dtype=float)\n",
    "        mn, mx = float(arr.min()), float(arr.max())\n",
    "        if mx <= mn + eps:\n",
    "            return np.zeros_like(arr)\n",
    "        return (arr - mn) / (mx - mn + eps)\n",
    "\n",
    "    x_np = x_opt.squeeze().detach().cpu().numpy()\n",
    "    ig_abs = np.abs(ig_np)\n",
    "    clip_v = max(float(np.percentile(ig_abs, 99.7)), 1e-12)\n",
    "    hot_thr = float(np.percentile(ig_abs, 99.7))\n",
    "    pos_vals = ig_np[ig_np > 0]\n",
    "    neg_vals = -ig_np[ig_np < 0]\n",
    "    pos_thr = float(np.percentile(pos_vals, 99.5)) if pos_vals.size else np.inf\n",
    "    neg_thr = float(np.percentile(neg_vals, 99.5)) if neg_vals.size else np.inf\n",
    "    pos_hot = (ig_np > 0) & (ig_np >= pos_thr)\n",
    "    neg_hot = (ig_np < 0) & ((-ig_np) >= neg_thr)\n",
    "\n",
    "    fig, axs = plt.subplots(2, 3, figsize=(14, 8.5), dpi=180, constrained_layout=True)\n",
    "    axs[0, 0].imshow(x_np, cmap=\"gray_r\", origin=\"upper\", vmin=0, vmax=1)\n",
    "    axs[0, 0].set_title(\"CNN input mask\")\n",
    "    axs[0, 0].axis(\"off\")\n",
    "    im1 = axs[0, 1].imshow(\n",
    "        ig_np, cmap=\"seismic\", origin=\"upper\", vmin=-clip_v, vmax=clip_v\n",
    "    )\n",
    "    axs[0, 1].set_title(\"Raw signed IG\")\n",
    "    axs[0, 1].axis(\"off\")\n",
    "    plt.colorbar(im1, ax=axs[0, 1], fraction=0.046, pad=0.04)\n",
    "    im2 = axs[0, 2].imshow(\n",
    "        np.clip(ig_abs, 0, clip_v), cmap=\"magma\", origin=\"upper\", vmin=0, vmax=clip_v\n",
    "    )\n",
    "    axs[0, 2].set_title(\"|IG| clipped at 99.7 percentile\")\n",
    "    axs[0, 2].axis(\"off\")\n",
    "    plt.colorbar(im2, ax=axs[0, 2], fraction=0.046, pad=0.04)\n",
    "\n",
    "    axs[1, 0].imshow(\n",
    "        np.ma.masked_where(ig_abs < hot_thr, ig_abs),\n",
    "        cmap=\"magma\",\n",
    "        origin=\"upper\",\n",
    "        vmin=0,\n",
    "        vmax=clip_v,\n",
    "    )\n",
    "    axs[1, 0].set_title(\"Top |IG| hotspots\")\n",
    "    axs[1, 0].axis(\"off\")\n",
    "    axs[1, 1].imshow(x_np, cmap=\"gray_r\", origin=\"upper\", vmin=0, vmax=1)\n",
    "    heat = np.ma.masked_where(\n",
    "        ig_abs < hot_thr, normalize_01(np.clip(ig_abs, 0, clip_v))\n",
    "    )\n",
    "    axs[1, 1].imshow(heat, cmap=\"magma\", origin=\"upper\", alpha=0.72, vmin=0, vmax=1)\n",
    "    axs[1, 1].contour(\n",
    "        (ig_abs >= hot_thr).astype(float), levels=[0.5], colors=\"red\", linewidths=1.0\n",
    "    )\n",
    "    axs[1, 1].set_title(\"Hotspot overlay on optimized mask\")\n",
    "    axs[1, 1].axis(\"off\")\n",
    "    axs[1, 2].imshow(x_np, cmap=\"gray_r\", origin=\"upper\", vmin=0, vmax=1)\n",
    "    axs[1, 2].imshow(\n",
    "        np.ma.masked_where(~pos_hot, pos_hot.astype(float)),\n",
    "        cmap=\"Reds\",\n",
    "        origin=\"upper\",\n",
    "        alpha=0.75,\n",
    "        vmin=0,\n",
    "        vmax=1,\n",
    "    )\n",
    "    axs[1, 2].imshow(\n",
    "        np.ma.masked_where(~neg_hot, neg_hot.astype(float)),\n",
    "        cmap=\"Blues\",\n",
    "        origin=\"upper\",\n",
    "        alpha=0.75,\n",
    "        vmin=0,\n",
    "        vmax=1,\n",
    "    )\n",
    "    axs[1, 2].contour(pos_hot.astype(float), levels=[0.5], colors=\"red\", linewidths=0.8)\n",
    "    axs[1, 2].contour(\n",
    "        neg_hot.astype(float), levels=[0.5], colors=\"blue\", linewidths=0.8\n",
    "    )\n",
    "    axs[1, 2].set_title(\"Signed tails: red positive, blue negative\")\n",
    "    axs[1, 2].axis(\"off\")\n",
    "    plt.suptitle(\"CNN IG for 1550 nm CNN output\")\n",
    "    plt.show()\n",
    "\n",
    "    np.save(IG_DIR / \"optimized_wdm_ig_power1550.npy\", ig_np)\n",
    "    print(\"Saved IG array:\", IG_DIR / \"optimized_wdm_ig_power1550.npy\")\n",
    "else:\n",
    "    print(\"Skipping IG visualizations: trained checkpoint not supplied.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5990660b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "IG completeness relative gap: 5.24%\n"
     ]
    }
   ],
   "source": [
    "# Alpha-path story and completeness trace for the same CNN IG path.\n",
    "if RUN_CNN_IG:\n",
    "\n",
    "    def ig_path_story(\n",
    "        model: torch.nn.Module,\n",
    "        x: torch.Tensor,\n",
    "        target_fn: Callable[[torch.Tensor], torch.Tensor] = lambda y: y.squeeze(1),\n",
    "        baseline: Optional[torch.Tensor] = None,\n",
    "        steps: int = 201,\n",
    "    ) -> Dict[str, Any]:\n",
    "        model.eval()\n",
    "        x = x.detach().to(device)\n",
    "        if baseline is None:\n",
    "            baseline = torch.zeros_like(x, device=device)\n",
    "        else:\n",
    "            baseline = baseline.detach().to(device)\n",
    "        direction = x - baseline\n",
    "        alphas = torch.linspace(0, 1, steps, device=device)\n",
    "\n",
    "        snaps: List[np.ndarray] = []\n",
    "        f_vals: List[float] = []\n",
    "        s_vals: List[float] = []\n",
    "        for a in alphas:\n",
    "            aa = a.view(1, 1, 1, 1)\n",
    "            x_a = (baseline + aa * direction).clone().detach().requires_grad_(True)\n",
    "            out = model(x_a)\n",
    "            tgt = target_fn(out)\n",
    "            grad = torch.autograd.grad(\n",
    "                tgt.sum(), x_a, retain_graph=False, create_graph=False\n",
    "            )[0]\n",
    "            step_attr = (direction * grad).squeeze().detach().cpu().numpy()\n",
    "            snaps.append(np.abs(step_attr))\n",
    "            f_vals.append(float(tgt.detach().cpu().reshape(-1)[0]))\n",
    "            s_vals.append(float((grad * direction).sum().detach().cpu().item()))\n",
    "\n",
    "        alphas_np = alphas.detach().cpu().numpy()\n",
    "        f_vals_np = np.array(f_vals)\n",
    "        s_vals_np = np.array(s_vals)\n",
    "        cum_trapz = np.zeros_like(s_vals_np)\n",
    "        for i in range(1, len(s_vals_np)):\n",
    "            da = float(alphas_np[i] - alphas_np[i - 1])\n",
    "            cum_trapz[i] = (\n",
    "                cum_trapz[i - 1] + 0.5 * (s_vals_np[i - 1] + s_vals_np[i]) * da\n",
    "            )\n",
    "        return {\n",
    "            \"snaps\": snaps,\n",
    "            \"alphas\": alphas_np,\n",
    "            \"f_vals\": f_vals_np,\n",
    "            \"s_vals\": s_vals_np,\n",
    "            \"cum_trapz\": cum_trapz,\n",
    "            \"delta_f\": float(f_vals_np[-1] - f_vals_np[0]),\n",
    "        }\n",
    "\n",
    "    story = ig_path_story(model, x_opt, steps=201)\n",
    "    idxs = np.linspace(0, len(story[\"alphas\"]) - 1, 8, dtype=int)\n",
    "    all_vals = np.concatenate([h.ravel() for h in story[\"snaps\"]])\n",
    "    gmax = max(float(np.percentile(all_vals, 99.9)), 1e-12)\n",
    "    base = x_np\n",
    "\n",
    "    fig, axs = plt.subplots(2, 4, figsize=(14, 6.5), dpi=170, constrained_layout=True)\n",
    "    for ax, idx in zip(axs.flatten(), idxs):\n",
    "        alpha = story[\"alphas\"][idx]\n",
    "        heat = np.clip(story[\"snaps\"][idx] / gmax, 0, 1)\n",
    "        ax.imshow(base, cmap=\"gray_r\", origin=\"upper\", vmin=0, vmax=1)\n",
    "        ax.imshow(heat, cmap=\"magma\", origin=\"upper\", alpha=0.65, vmin=0, vmax=1)\n",
    "        ax.set_title(f\"alpha={alpha:.2f}\")\n",
    "        ax.axis(\"off\")\n",
    "    plt.suptitle(\"IG path heat snapshots: |(x - baseline) * grad f(x_alpha)|\")\n",
    "    plt.show()\n",
    "\n",
    "    integral_final = float(story[\"cum_trapz\"][-1])\n",
    "    delta_final = float(story[\"delta_f\"])\n",
    "    relative_gap = abs(integral_final - delta_final) / max(abs(delta_final), 1e-12)\n",
    "    print(f\"IG completeness relative gap: {100 * relative_gap:.2f}%\")\n",
    "else:\n",
    "    print(\"Skipping IG path snapshots: trained checkpoint not supplied.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a195a8ac",
   "metadata": {},
   "source": [
    "## Outputs Saved by This Notebook\n",
    "\n",
    "- `outputs/wdm_2d_cnn_ig/optimized_wdm_cnn_mask.npy`\n",
    "- `outputs/wdm_2d_cnn_ig/ig/optimized_wdm_ig_power1550.npy`\n",
    "\n",
    "The plots are displayed inline for the Colab run. Increase `NUM_OPT_STEPS` in the configuration cell if you want a better optimized WDM; keep it smaller for quick demonstrations."
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "applications": [
   "Passive photonic integrated circuit components"
  ],
  "colab": {
   "gpuType": "T4",
   "provenance": []
  },
  "description": "This notebook demonstrates how to inverse design a 2D SOI wavelength division multiplexer and interpret it with CNN Integrated Gradients using Tidy3D.",
  "feature_image": "./img/soi_wdm_cnn_ig.png",
  "features": [
   "Adjoint inverse design"
  ],
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "keywords": "wavelength division multiplexer, inverse design, integrated gradients, Tidy3D, FDTD",
  "language_info": {
   "name": "python",
   "version": "3.x"
  },
  "title": "How to inverse design a wavelength division multiplexer using Tidy3D | Flexcompute"
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
