From 55de4c8f2fe7dddffb407f8b3665e9e44c4128a3 Mon Sep 17 00:00:00 2001 From: yuanshen-flexcompute Date: Mon, 8 Sep 2025 11:25:51 -0400 Subject: [PATCH 01/11] Initial commit --- AntennaCharacteristics.ipynb | 401 +++++++++------ CircularlyPolarizedPatchAntenna.ipynb | 349 ++++++++++--- CoupledLineBandpassFilter.ipynb | 303 ++++++++--- DifferentialStripline.ipynb | 306 +++++++----- EdgeFeedPatchAntennaBenchmark.ipynb | 389 ++++++++++----- HybridMicrostripCPWBandpassFilter.ipynb | 239 ++++++--- LinearLumpedElements.ipynb | 637 +++++++++++++++++++----- WPDHarmonicSuppression1.ipynb | 389 +++++++++------ WPDHarmonicSuppression2.ipynb | 346 ++++++++----- WPDHarmonicSuppression3.ipynb | 185 ++++--- 10 files changed, 2446 insertions(+), 1098 deletions(-) diff --git a/AntennaCharacteristics.ipynb b/AntennaCharacteristics.ipynb index f7ca25fe..b5c04936 100644 --- a/AntennaCharacteristics.ipynb +++ b/AntennaCharacteristics.ipynb @@ -53,7 +53,7 @@ "import numpy as np\n", "import tidy3d as td\n", "import tidy3d.plugins.smatrix as smatrix\n", - "from tidy3d.web import run" + "import tidy3d.web as web" ] }, { @@ -286,15 +286,15 @@ { "data": { "text/html": [ - "
19:23:26 CEST WARNING: ℹ️ ⚠️ RF simulations are subject to new license            \n",
-       "              requirements in the future. You have instantiated at least one    \n",
-       "              RF-specific component.                                            \n",
+       "
10:06:44 EDT WARNING: ℹ️ ⚠️ RF simulations are subject to new license requirements\n",
+       "             in the future. You have instantiated at least one RF-specific      \n",
+       "             component.                                                         \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m19:23:26 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: ℹ️ ⚠️ RF simulations are subject to new license            \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31mrequirements in the future. You have instantiated at least one    \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31mRF-specific component.                                            \u001b[0m\n"
+       "\u001b[2;36m10:06:44 EDT\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: ℹ️ ⚠️ RF simulations are subject to new license requirements\u001b[0m\n",
+       "\u001b[2;36m             \u001b[0m\u001b[31min the future. You have instantiated at least one RF-specific      \u001b[0m\n",
+       "\u001b[2;36m             \u001b[0m\u001b[31mcomponent.                                                         \u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -366,7 +366,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The grid specification controls how the simulation domain is discretized. We make use of `LayerRefinementSpec` to automatically refine the grid near the metal layers. Otherwise, the grid size in the rest of the domain is set automatically according to the wavelength (typically 20-30 grid steps per wavelength). "
+    "The grid specification controls how the simulation domain is discretized. We make use of `LayerRefinementSpec` to automatically refine the grid near the metal layers. Otherwise, the grid size in the rest of the domain is set automatically according to the wavelength. "
    ]
   },
   {
@@ -463,17 +463,17 @@
     {
      "data": {
       "text/html": [
-       "
              WARNING:  ℹ️ ⚠️ RF simulations are subject to new license           \n",
-       "              requirements in the future. You are using RF-specific components  \n",
-       "              in this simulation.                                               \n",
-       "               - Contains monitors defined for RF wavelengths.                  \n",
+       "
             WARNING:  ℹ️ ⚠️ RF simulations are subject to new license            \n",
+       "             requirements in the future. You are using RF-specific components in\n",
+       "             this simulation.                                                   \n",
+       "              - Contains monitors defined for RF wavelengths.                   \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING:  ℹ️ ⚠️ RF simulations are subject to new license           \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31mrequirements in the future. You are using RF-specific components  \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31min this simulation.                                               \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31m - Contains monitors defined for RF wavelengths.                  \u001b[0m\n"
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING:  ℹ️ ⚠️ RF simulations are subject to new license            \u001b[0m\n",
+       "\u001b[2;36m             \u001b[0m\u001b[31mrequirements in the future. You are using RF-specific components in\u001b[0m\n",
+       "\u001b[2;36m             \u001b[0m\u001b[31mthis simulation.                                                   \u001b[0m\n",
+       "\u001b[2;36m             \u001b[0m\u001b[31m - Contains monitors defined for RF wavelengths.                   \u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -506,7 +506,27 @@
    "cell_type": "code",
    "execution_count": 15,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "
             WARNING: ℹ️ ⚠️ Backwards compatibility will be broken for the        \n",
+       "             TerminalComponentModeler class in tidy3d version 2.10. Migration   \n",
+       "             documentation will be provided, and existing functionality can be  \n",
+       "             accessed in a different way.                                       \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: ℹ️ ⚠️ Backwards compatibility will be broken for the        \u001b[0m\n",
+       "\u001b[2;36m             \u001b[0m\u001b[31mTerminalComponentModeler class in tidy3d version \u001b[0m\u001b[1;36m2.10\u001b[0m\u001b[31m. Migration   \u001b[0m\n",
+       "\u001b[2;36m             \u001b[0m\u001b[31mdocumentation will be provided, and existing functionality can be  \u001b[0m\n",
+       "\u001b[2;36m             \u001b[0m\u001b[31maccessed in a different way.                                       \u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Define TerminalComponentModeler\n",
     "modeler = smatrix.TerminalComponentModeler(\n",
@@ -514,7 +534,6 @@
     "    freqs=freqs,  # Sweep frequencies points\n",
     "    ports=[port],  # Include ports here\n",
     "    radiation_monitors=[monitor_directivity],  # Include radiation monitors here\n",
-    "    verbose=True,\n",
     ")"
    ]
   },
@@ -541,7 +560,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -585,7 +604,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Before running, we can estimate the cost of the entire `TerminalComponentModeler` sweep. "
+    "Use the `tidy3d.web.upload()` method to upload the job and get a cost estimate. "
    ]
   },
   {
@@ -596,19 +615,19 @@
     {
      "data": {
       "text/html": [
-       "
              WARNING:  ℹ️ ⚠️ RF simulations are subject to new license           \n",
-       "              requirements in the future. You are using RF-specific components  \n",
-       "              in this simulation.                                               \n",
-       "               - Contains a 'LumpedElement'.                                    \n",
-       "               - Contains monitors defined for RF wavelengths.                  \n",
+       "
             WARNING:  ℹ️ ⚠️ RF simulations are subject to new license            \n",
+       "             requirements in the future. You are using RF-specific components in\n",
+       "             this simulation.                                                   \n",
+       "              - Contains a 'LumpedElement'.                                     \n",
+       "              - Contains monitors defined for RF wavelengths.                   \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING:  ℹ️ ⚠️ RF simulations are subject to new license           \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31mrequirements in the future. You are using RF-specific components  \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31min this simulation.                                               \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31m - Contains a \u001b[0m\u001b[32m'LumpedElement'\u001b[0m\u001b[31m.                                    \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31m - Contains monitors defined for RF wavelengths.                  \u001b[0m\n"
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING:  ℹ️ ⚠️ RF simulations are subject to new license            \u001b[0m\n",
+       "\u001b[2;36m             \u001b[0m\u001b[31mrequirements in the future. You are using RF-specific components in\u001b[0m\n",
+       "\u001b[2;36m             \u001b[0m\u001b[31mthis simulation.                                                   \u001b[0m\n",
+       "\u001b[2;36m             \u001b[0m\u001b[31m - Contains a \u001b[0m\u001b[32m'LumpedElement'\u001b[0m\u001b[31m.                                     \u001b[0m\n",
+       "\u001b[2;36m             \u001b[0m\u001b[31m - Contains monitors defined for RF wavelengths.                   \u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -617,38 +636,52 @@
     {
      "data": {
       "text/html": [
-       "
19:23:30 CEST Maximum FlexCredit cost: 0.097 for the whole batch.               \n",
+       "
             Created task 'antenna_modeler' with resource_id                    \n",
+       "             'sid-4897a955-75d6-4339-b39e-639360e8cfa0' and task_type 'RF'.     \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m19:23:30 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.097\u001b[0m for the whole batch.               \n"
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'antenna_modeler'\u001b[0m with resource_id                    \n",
+       "\u001b[2;36m             \u001b[0m\u001b[32m'sid-4897a955-75d6-4339-b39e-639360e8cfa0'\u001b[0m and task_type \u001b[32m'RF'\u001b[0m.     \n"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Estimate cost before running\n",
-    "_ = modeler.batch.estimate_cost()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We execute the `TerminalComponentModeler` below. The simulation automatically returns the S-parameter matrix. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
+    },
+    {
+     "data": {
+      "text/html": [
+       "
             View task using web UI at                                          \n",
+       "             'https://tidy3d.simulation.cloud/rf?taskId=pa-2d64910a-2999-4769-86\n",
+       "             e5-d5085c3e0b20'.                                                  \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
+       "\u001b[2;36m             \u001b[0m\u001b]8;id=86549;https://tidy3d.simulation.cloud/rf?taskId=pa-2d64910a-2999-4769-86e5-d5085c3e0b20\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/rf?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=639261;https://tidy3d.simulation.cloud/rf?taskId=pa-2d64910a-2999-4769-86e5-d5085c3e0b20\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=86549;https://tidy3d.simulation.cloud/rf?taskId=pa-2d64910a-2999-4769-86e5-d5085c3e0b20\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=433309;https://tidy3d.simulation.cloud/rf?taskId=pa-2d64910a-2999-4769-86e5-d5085c3e0b20\u001b\\\u001b[32mpa\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=86549;https://tidy3d.simulation.cloud/rf?taskId=pa-2d64910a-2999-4769-86e5-d5085c3e0b20\u001b\\\u001b[32m-2d64910a-2999-4769-86\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[2;36m             \u001b[0m\u001b]8;id=86549;https://tidy3d.simulation.cloud/rf?taskId=pa-2d64910a-2999-4769-86e5-d5085c3e0b20\u001b\\\u001b[32me5-d5085c3e0b20'\u001b[0m\u001b]8;;\u001b\\.                                                  \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
             Task folder: 'default'.                                            \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=629728;https://tidy3d.simulation.cloud/folders/folder-7d2988e3-13d2-49df-8e7b-f9b5036adc0b\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9cd28e3f4a904563901e7509286fe876",
+       "model_id": "a626885ae2e545b58d830bcd83172c26",
        "version_major": 2,
        "version_minor": 0
       },
@@ -672,11 +705,26 @@
     {
      "data": {
       "text/html": [
-       "
              Started working on Batch containing 1 tasks.                      \n",
+       "
10:06:46 EDT Child simulation subtasks are being uploaded to                    \n",
+       "             - lumped_port: rf-fde3d317-0afe-45dc-abfd-27d5779132b2             \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m10:06:46 EDT\u001b[0m\u001b[2;36m \u001b[0mChild simulation subtasks are being uploaded to                    \n",
+       "\u001b[2;36m             \u001b[0m- lumped_port: rf-\u001b[93mfde3d317-0afe-45dc-abfd-27d5779132b2\u001b[0m             \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
10:06:47 EDT Validating batch...                                                \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
+       "\u001b[2;36m10:06:47 EDT\u001b[0m\u001b[2;36m \u001b[0mValidating batch\u001b[33m...\u001b[0m                                                \n"
       ]
      },
      "metadata": {},
@@ -685,11 +733,45 @@
     {
      "data": {
       "text/html": [
-       "
19:23:32 CEST Maximum FlexCredit cost: 0.097 for the whole batch.               \n",
+       "
             Maximum FlexCredit cost: 0.097. Minimum cost depends on task       \n",
+       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
+       "             FlexCredit cost after a simulation run.                            \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.097\u001b[0m. Minimum cost depends on task       \n",
+       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
+       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "task_id = web.upload(modeler, task_name=\"antenna_modeler\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We start and monitor the job below. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "
10:06:48 EDT Batch validation completed.                                        \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m19:23:32 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.097\u001b[0m for the whole batch.               \n"
+       "\u001b[2;36m10:06:48 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch validation completed.                                        \n"
       ]
      },
      "metadata": {},
@@ -698,13 +780,13 @@
     {
      "data": {
       "text/html": [
-       "
              Use 'Batch.real_cost()' to get the billed FlexCredit cost after   \n",
-       "              the Batch has completed.                                          \n",
+       "
             Modeler Batch: antenna_modeler (group                              \n",
+       "             pa-2d64910a-2999-4769-86e5-d5085c3e0b20)                           \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
-       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mModeler Batch: antenna_modeler \u001b[1m(\u001b[0mgroup                              \n",
+       "\u001b[2;36m             \u001b[0mpa-\u001b[93m2d64910a-2999-4769-86e5-d5085c3e0b20\u001b[0m\u001b[1m)\u001b[0m                           \n"
       ]
      },
      "metadata": {},
@@ -713,7 +795,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b6d11d696a024dcba004643197176aa7",
+       "model_id": "67dff99540b148ba989ea8eca7359412",
        "version_major": 2,
        "version_minor": 0
       },
@@ -727,11 +809,11 @@
     {
      "data": {
       "text/html": [
-       "
19:23:33 CEST Batch complete.                                                   \n",
+       "
10:07:59 EDT Postprocess completed.                                             \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m19:23:33 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
+       "\u001b[2;36m10:07:59 EDT\u001b[0m\u001b[2;36m \u001b[0mPostprocess completed.                                             \n"
       ]
      },
      "metadata": {},
@@ -746,11 +828,30 @@
      },
      "metadata": {},
      "output_type": "display_data"
-    },
+    }
+   ],
+   "source": [
+    "# Run and monitor simulation\n",
+    "web.start(task_id)\n",
+    "web.monitor(task_id)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "After completion, we download the TCM data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c268c323d2ab4575bde7c3c9bb56bf8d",
+       "model_id": "cb05f6dbc2c441aa970d85457cad8075",
        "version_major": 2,
        "version_minor": 0
       },
@@ -770,26 +871,15 @@
      },
      "metadata": {},
      "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Run the TerminalComponentModeler and obtain S-parameter matrix\n",
-    "s_matrix = modeler.run()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
+    },
     {
      "data": {
       "text/html": [
-       "
19:23:43 CEST Total billed flex credit cost: 0.082.                             \n",
+       "
10:08:09 EDT loading component modeler data from ./cm_data.hdf5                 \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m19:23:43 CEST\u001b[0m\u001b[2;36m \u001b[0mTotal billed flex credit cost: \u001b[1;36m0.082\u001b[0m.                             \n"
+       "\u001b[2;36m10:08:09 EDT\u001b[0m\u001b[2;36m \u001b[0mloading component modeler data from .\u001b[35m/\u001b[0m\u001b[95mcm_data.hdf5\u001b[0m                 \n"
       ]
      },
      "metadata": {},
@@ -797,17 +887,15 @@
     }
    ],
    "source": [
-    "# Print real cost after running\n",
-    "_ = modeler.batch.real_cost()"
+    "# Load TCM data\n",
+    "tcm_data = web.load(task_id)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "System-level results such as the S/Z-parameter matrix and antenna metrics can be accessed directly from the `TerminalComponentModeler` after running.  \n",
-    "\n",
-    "To access data from individual simulations in the port sweep, we have to first load the associated batch dataset. This is necessary, for example, to access the field monitor data. "
+    "We can also check the real cost of the simulation. "
    ]
   },
   {
@@ -818,48 +906,40 @@
     {
      "data": {
       "text/html": [
-       "
              WARNING: 1 file has already been downloaded and will be skipped.  \n",
-       "              To forcibly overwrite existing files, invoke the load or download \n",
-       "              function with `replace_existing=True`.                            \n",
+       "
             WARNING: Billed FlexCredit for task                                \n",
+       "             'sid-4897a955-75d6-4339-b39e-639360e8cfa0' is not available. If the\n",
+       "             task has been successfully run, it should be available shortly.    \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: \u001b[0m\u001b[1;36m1\u001b[0m\u001b[31m file has already been downloaded and will be skipped.  \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31mTo forcibly overwrite existing files, invoke the load or download \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31mfunction with `\u001b[0m\u001b[33mreplace_existing\u001b[0m\u001b[31m=\u001b[0m\u001b[3;92mTrue\u001b[0m\u001b[31m`.                            \u001b[0m\n"
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Billed FlexCredit for task                                \u001b[0m\n",
+       "\u001b[2;36m             \u001b[0m\u001b[32m'sid-4897a955-75d6-4339-b39e-639360e8cfa0'\u001b[0m\u001b[31m is not available. If the\u001b[0m\n",
+       "\u001b[2;36m             \u001b[0m\u001b[31mtask has been successfully run, it should be available shortly.    \u001b[0m\n"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3e32c61baa1d4baaa4f609622819b90f",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
     }
    ],
    "source": [
-    "# Load the batch data to access monitor datasets\n",
-    "batch_data = modeler.batch.load()"
+    "# Print real sim cost\n",
+    "_=web.real_cost(task_id)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Use the `smatrix()` method of the TCM data object to calculate the S-matrix. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "s_matrix = tcm_data.smatrix()"
    ]
   },
   {
@@ -887,12 +967,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Specify port_in and port_out to get the specific S_ij\n",
-    "S11 = np.conjugate(s_matrix.isel(port_out=0, port_in=0))\n",
+    "S11 = np.conjugate(s_matrix.data.isel(port_out=0, port_in=0))\n",
     "\n",
     "# Transform to dB\n",
     "S11dB = 20 * np.log10(np.abs(S11))"
@@ -900,12 +980,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkYAAAGwCAYAAABM/qr1AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjEsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvc2/+5QAAAAlwSFlzAAAPYQAAD2EBqD+naQAASJJJREFUeJzt3Quc1PP+x/HP7rZddZFu6B6KiFxKCaEbuRNHLpV0OCKXXOocJCG5xHFNDuUuf7dzEAop5yCRCFFRdFeqTaVta+f/eP9++9t229vsNjO/32/m9Xw8fmZ2dpr57dfsznu+38/3+02LRCIRAwAAgKX7fQIAAABBQTACAADIQzACAADIQzACAADIQzACAADIQzACAADIQzACAADIU8m7grLl5uba8uXLrWbNmpaWlub36QAAgChoycY//vjD9tprL0tPL71PiGBUDgpFTZo08fs0AABABSxZssQaN25c6n0IRuWgniKvYWvVqhXTx87JybEpU6ZYjx49LDMzM6aPnWxoq+jRVtGjraJHW0WPtgpGe23YsMHp2PDex0tDMCoHb/hMoSgewah69erO4/LLUzraKnq0VfRoq+jRVtGjrYLVXtGUwVB8DQAAkIdgBAAAkIdgBAAAkIdgBAAAkIdgBAAAkIdgBAAAkIdgBAAAkMrB6JFHHrHmzZtb1apVrWPHjvb555/7fUoAACAAUi4YTZo0ya699lobMWKEzZ492w4++GDr2bOn/fbbb36fGgAA8FnKBaOxY8faoEGDbMCAAXbAAQfYuHHjnFU2n3rqKb9PDQAA+CyltgTZunWrffnllzZ8+PD827TLbrdu3ezTTz8tcv/s7GznKLjXirdkuY5Y8h4v1o+bjGir6NFW0aOtokdbRY+2CkZ7lefx0iKRSMRSxPLly23vvfe2Tz75xDp16pR/+w033GDTp0+3mTNnFrr/rbfeaiNHjizyOC+88ILTywQAAIJv8+bN1rdvX8vKyipzr9OU6jEqL/UsqR5p5915tetvLDeRzcoyW7Fim82d+6GddtpxVrkyGw2WlfynTp1q3bt3Z1PGMtBW0aOtokdbRY+2CkZ7eSM+0UipYFSvXj3LyMiwVatWFbpdXzdq1KjI/atUqeIcO9P/rFj+D/vgA7O//EWP19sqVYpYvXppVr++ztfyL73rdevuOHbf3b2sU8csI8NSTqz/PyQz2ip6tFX0aKvo0Vb+tld5HiulglHlypXtsMMOsw8++MBOP/1057bc3Fzn6yuuuMK38/rzT7MaNSK2aVOabduWZitXmnOUh8KRF5T23NOsaVOzJk3co3lzszZtzPbYI14/AQAAySGlgpFoaKxfv352+OGHW4cOHeyBBx6wTZs2ObPU/NK/v9n552+z119/1w4/vJdlZWXa6tVma9a4h3ddl+vWma1d6x66/scf7mOsX+8eixaV/Dzqcdp/f7MDDnAvdbRt6waptLSE/bgAAARWygWjc88911avXm233HKLrVy50g455BB79913rWHDhn6fmlWpkuv08LRsGf2/UaG9ApIXmH7/3WzZMrMlS8x+/dW9/Pln97qClY4ZMwo/hobp2rUzO/hg99B1hadiRhEBAEhqKReMRMNmfg6dxZKGTRs0cI/SbNxo9uOPZvPm7Ti+/95swQK3N+rDD93DU6mSO/zmBSZdtm9vFoD8CABA3KRkMEpFu+1mdthh7rFzfZMC0tdfu8c337iX6oH69lv3eOGFHfdv1sxMKx14h8KSQhQAAMmAt7QUV61a0cCkla2WLt0RkrzApB6nX35xj5decu9bu7ZZ9+5mJ55o1rOn2d57+/ajAACwywhGKEKF2N6Mtt69d9yuZSC0364WCfcOFXy/8op7iIbd/vIXs/POc3uXAAAIE4IRoqY1Lbt1cw/Zvt3siy/M3nnHPWbN2tHDpF1XjjpKs+3MzjmHpQIAAOFAMEKFaVHJjh3d49Zb3Rlv//63W5P00Udm//ufe1xzjVmfPmaXXWbWuTNLAwAVpWHuzZvd1fJ1qBe34GVZt2l5D32gyc3dcej3uEYNM+1y5B3e1xoqL7iYrC511KqVZitW1HBmwmpWayouMIvkRTBCzGidpEsucQ8tGTBpktmzz5rNmWP23HPuceCBbkC66CKzmjX9PmMgWKFnxQqzhQvdQzNGvWU2fvvNPXR927bYP7dmppb/raOb/e1v7gcdBSgvPCkoaRhei8xqOF2X++3HemkID4IR4kJF2NpmTr1FGmJ7/HGzF190Z7lppYS//90NUFde6a7MDaRaCFq82P3d0KHavdmz3WU1opGe7oYRDW/rsqTrO9+mDyOaRap/7x0KWuqF0rFpU+HrqiEsuE7ajsuIrV693bZsqeT8LNEsMKvgpA9GBx3kHkce6X7NrFYEDS9JxJU+IXbo4B733ef2Gj38sDvDbexYswceMDvjDDdAMcyGZKYtGt9/32zqVPdSvao705CUPijss4976LrWDtM6ZeqR9fZL1DCXn78rOTnbbPLkydat20m2aVNmodCkni1vgVnNYFUA1CKz+v7HH7uHR0N2+tug3/1jjjHr0sX92QA/EYyQMNrPTb1Fl19u9t57Zvff775JvPqqexx+uBuQzj5b+9r5fbbArtmyxWz6dPc1rkNLXuy8OKtmcR5xhBsOdKkhpzDtM6rfU4WbshaYVVv88IPbYzx3rts7NnOmW/M0bZp73HGH+3iatKEJHloGRMuIqFcLSCSCERJOf+i07pEO/aH85z/dWiTNcNMstuuvNxs82OzSS5nNhnDRljxvv+1OQlD413BUQVoQVW/4OhQAtI5YKqha1eyQQ9zDoyJwLS6rZT8++cTsgw/c9dO8oPSPf5jttZfbo6xDPUphCo0IL7I4fKUagyeecLveR40ya9TIbPly94+iCjjVuzR/vt9nCZRM4eeZZ8xOOMEd9urXz+y119zbGzc2GzjQra/TEJN6SsaMcXtEUiUUlUTDhqo1+utfzSZOdIfeNMT+yCNuEFI9lP4W6Gu1l/42DBrkznRVXRMQL/QYIRBUO3HTTWY33ODOZtMw21dfmT32mHucfLJbzN21q4WWpkbrD71CYMFDM428Ilddamq1N6Vab556g9BQhVd7oiFHDbtoaBL+0BuzamX0hv5//1e4aFr7Cp5+utlpp7k9RNTNRUftpKFEHfpAlJ3t9iIpZKoHTjPn/vUv92jd2h2WVwhlditijWCEQFGNwYUXml1wgVufoYD05ptmb73lHqrJGDIkzVlHJchUWKuZRhoq1Ia9qq/Qp2HN9onVm4gKVvUGrJXG1TOB+NMMLgV39fqoVsajwNq/v1nfvmYtWvh5hsmjShWzk05yj3Hj3CCqnjkFUf0uaUarepZ1qdpEht0RKwQjBJLe+NU7pENDaapD0qdzrao9cGAl2333Hvb99+lOLZLffxDVs6Mhkg8/dAtKdRQ340g0NVlLGXhbrujQ8IumMqsHSIemVet+agMFKRWorlzpzvD57js3cGmWj7eA5rBhbkC6+mp3Vg/i00P0xhtmN97ori8kKjpWKB0wgBmV8abfh+OOc48HH3RrEnWpgKSibf19uO46tz6RWW3YVQQjBJ661lVnoBqk8ePNHnooYsuXV7URI8zuustdLFILzak3KZFTr6dMcQtsdey8QJ4KzFU/paGU/fd3jzZtzFq2jM26LRqC+89/zF5+2WzGjB0z+/TpevRodzgHsaHePtXBeNPMNex71VXucI8CLRJLQ2dqey0UqyG2225zF5HV6vsaZrv3XncbIoIqKoria4SG1m9R78j8+dvs6qu/tPbtI/bnn+7ikZrtcuih7qfI8q/iW7acHPeNUV33mkKsQlAFsuefd59Pf6xVU3L33e52KNp+Qb1b6uVSL8Opp7oBL1aL2amnSb1lGm7UkI4Wy1Qx6+TJbhjTp+dYDdulKtV5KXjrtaX/96r3uvlms59+cl8HhCJ/6cOHirTVW/vSS+4q25rVpl489aCqng+oCIIRQlmH1LXrUvvss21OCNG6R5rGq2JtfZLXFF/9YZwwwe3Zqeiboh5Pi1Aq1GibA00XvvNO9w+xKIBos1yFE03T1lCLuvKPPdZst90s4TP7VMukPek0tKfFNNVr9PnnfGyuCL1uevRw//+qCLhXL7fnSL0TFPsGi3qGzj3Xff2r10h/C9Sb2rat+zsJlBdDaQj1H0SFEB0KJtq8Vj00Ci7qYtchmsGiNWM0NVjXVeOjT/taW2XrVndatTdbTOuqaCE+rauiGWIFqZapZ0/30Jumeo2CZN993aE1raOjNaDUs3HccRk2YEBzZ80oRGfmzDTnjVavCdURPfSQW1jN0EywqUdPw+tnneXWfWldNPUo6cOSenJZNBbRIhghKSi0aHaKDgUbTfHVbDaFJBVo6igv9QwcfbRb8KkicPUQhWEX8d693SJtrZ/z6qtpNn78wZadnev0KrFAXuk+/7yR3X9/hjNEq7ow1W3pEuGhHlRNStB+jOo5VWG2/ibo/yXDn8GZzJCV5W6arA8gutQ6X+5kEw1k7enUS/qFYISkoyEkHepWV0+Sen8++8wdCtEMN/0Cas0g1Q2p5kefNLXzt4bgVCCtniWtFaSapbBucKlNQzWt+d57t9uwYWn29NPpTi2UepSYtVO8p55Ks7vu6mC5uWlOuFTdSiKHRBE76h1SEbaGv7WavlbS1qa1qsFr1crvs0st27e7H9RUmuAdqr9UMCpehh1/vL/d8SH9sw9E35N0yinusfMnFh3JvA+Thn6uvjrX1q//0saO7Whvv53mDAG++y5v+DtTb9pll7l/DgcMyLXx49NDG4qxg+oD1XukBWL1oUg9wNrA94AD/D6z5LZypTtbV39rNHtXmwsXR8uT6AOpPphqEVv9XapadbtlZv7m9Br5hV99pCSFhlSpGenQYZW9++52O/30Ss6bhArTtVimaqzg1qWpJktOPXWhjRvXzCpVSuLEnGLcSQhuXaBmcKomUZv6Fty3DbtuxQq3zlOHN0GlYFmCShEKHloUtbje65ycXJs8WQvBJXD9lZ0QjIAU0LlzxPn0pv28tM3Ceee5Q22p3iui2UuqxVLv4eDB261bt+8sLa2Z36eFGNNECQ2naXahirK195qWYKB+bNds2uTWc2rBTf1d0YxYj8oR1N46OnYM198aPhYBKUJ/nBQEtNWCpjGrODWVffmlGxD1x1zhaOzY3JTpRUzVYXUNo3Xo4NYeqgdJM1FRfsvzNvpu2tRdz009cPo90grw2ttSy13MmuUuyqsZwWEKRUIwAlLI8ce7n+7knnvcYuxUpDdE1Z1oFozeIPXHnFCU/DQpQctZaJKFFoPU//udl+VAyTS7Txv3akNrremm2iHtDThypNnChW49l1YkV71QmBGMgBSjRSBvuMG9rvVetNFtKtHaVdoyQgWimoGoIUWWMUgdWqxVBcHaeFkzVdVrqJlTKNn8+e7vjLZd0ka+mtGrfRk1jKa9A2+5Jblm+xGMgBSkjTdVZ6EeE3WF6w9dqtAWLVq+QTNitAioNu1FatGWOlrnTEt1qPYu1YeVS5KV5W5OrVl8+gChXlV9sNJG2arR0gKaYVjbrbwIRkAK0pi/htS0/5zWFdHKwKng9dfNHnjAvf700+4wAFKTZqVp2yDR6/+VV/w+o2B5+WV3pwAtkKkeNQ09a/0h3a46rWRGMAJSeKaO/uiJ9gDTImzJTAt7DhrkXtcmu1rjBqlNW79of0PRa4NibLduSMOLahsVUWvzaw09qodNQ8+pgGAEpDCtCqxPgqq70Vo+mraejPRzXX65OxtJdRIaSgREr4UjjnCLsDWsnMr1Rlrv6eCD3VXfNUSm2iEVXHfvbimFYASkMNUMjBvn1lpoRomm8ycjdf9rrywNIWpBRzYUhUeF988/724Y/NFH7v5qqejJJ92VwZcudTek1lZKmm2m5T1SDcEISHF77212zTXu9eHDzbZts6QrINXmwqIiW1Y8xs4UBLxh5REjzH7+2VKGelP1e3/JJW7P8emnu4tgJnsdUWkIRgCc6fsqxJ43zy1KTiZaZG71areQVIvSAcW5+GJ3na8tW9xh12QdVi5IH4K0uOldd7lfq4fo1VeZqUkwAuAsfHfTTe511RVkZ1vSrL/i9QTcfz9DaCh7WFlDR9oAddIkS/pQpBpDzczTZtoaStPvfjqpgGAEwKVPyRpW03L/ybIi9tCh7hvAiSe6B1DWkJr3AUHDyxs3WlJSgbkWd9XvuWqstFCjeszgIhgBcOiT8uDB7nWt9RP2oYQZM8zeesstuB471u+zQVho+r5WcdbK6Pfea0nH3TDZ7Lnn3N8NLdx42ml+n1WwEIwA5PvrX82qVjWbPdudpRZmt9/uXqqGQntjAdF+QBg92r2uYLRihSUV7ZH4+OPukNkLLxCKikMwAlBoB/ILL3SveytEh5G2LNCO3/pEPGyY32eDsDn7bLOOHc02bTK79VZLGiqs1pY43u+3tvdAUQQjAIUMGbJj+4xffrFQ9xYp5GkncKC8hdjeMNq//uUW8Yfd3Lk7PvRo+QpvCQsURTACUMiBB5odd5xZbq5bhxA22vtNtUUaKtD6LEBFaPd4rQqv3wNvaC2sNmxwe8H+/NOsRw93hiZKRjACUMQFF7iX2hogbB580L3UXk+aZQRUlDdDTRsuL15soS221j5w6vVq3Nhd5VvbfaBkBCMARZx5prvmz7ffukdYrFu3Y/0Zhgqwq1RnpH3CNL19zBgLJa1PpGn53gy0evX8PqPgIxgBKKJOnR3r/rz4ooWGPtlruEC7gB95pN9ng2TqNXrqKXeNrzBZtGjHdj8aDuR3IjoEIwDFOu+8HcNpYVjTSOeolYvlssvcAlpgVx1zjLu5qvYR81ZRDwP1cvXr5y5SqZ/h2mv9PqPwIBgBKNYpp7g7jmtDzc8/t8D773/dvd6qV3e3OgBi5brrdsxQ27zZQuGhh8w+/thst93MJk5kq4/yoKkAFEsBw1v8TbUJQffEE+5l377u3m9ArPTubdaihdnatW7xctAtXWp2883udS07oHNH9AhGAErkBSNtqhlk2hH9jTfc69oDCoglzeK64oodsx6DPrR89dXuEFrnzu6MNJQPwQhAiU44wa3V0cy0ZcsssKZMMfvjD3cTXApMEQ/aZFW9qPpd+OgjC6y333ZXuFaYU80dQ2jlR5MBKHWLkCOO2BE+gsob6tMidrwRIF4zNVXMLA8/bIGkAvGrrnKvazaaZmei/PgTAqBUPXsGOxhlZ5v95z/udfZ+Qjxdfrl7qdfbqlUWOI88YvbTT2aNGpmNGOH32YQXwQhAqbSFgGhTVk0BDhqdl7Y82Gsvs06d/D4bJPt2OR06mG3b5q6ZFSQqDB81yr2uS81GQ8UQjACUufpvrVpmv/9uNnu2BXYY7ayzGEZD/A0cuGNF6SAVYSsMaeV3DZ8xAWHX8GcEQKkyM82OPz6Yw2n65M4wGhLpL39xi7B/+MHs008tELSPm4bRvOn57IW2awhGAEJbZ/Tll2br17uFsZqaDMSbek+9EK5eoyC4/XaznBx3Fqk39I2KIxgBKFPXru7lrFnuH+Ag1ReJerT4lIxED6dpc1a/V8JWsbVWtpbbbvP3XJIFwQhAmfbbz+2V0Qatc+daYLz/vnupHdCBROnSxV1NWosovvWW/71FmhTRqxe9prFCMAJQJhU1qwhbPvvMAmHTJrNPPnGvd+vm99kglWjRU9UayYsv+nceCxaYPfOMe33kSP/OI9mkTDBq3ry5paWlFTruuusuv08LCI2gBaMZM9xhvWbNzFq18vtskGrOO8+9nDzZrXPzw913m+Xmmp10kruMAGIjZYKR3HbbbbZixYr848orr/T7lIDQ8LbamDnTAjWMpt4ifYIHEknT4tu2dVebfv31xD//ihU7eouGD0/88yezlApGNWvWtEaNGuUfNWrU8PuUgNDwPpHOn++uaeQ36osQlF4jP4bTHnjADWWqK1LNE2KnkqUQDZ2NGjXKmjZtan379rVrrrnGKlUquQmys7Odw7NBy+uauu9znCOWvMeL9eMmI9rKn7bSNOV9961kCxak2SefbLNevfxb3U7bMXzzTaZz/eij9fu464/J6yp6tNWORUVvuinTPvggYkuXbrOGDRPTVllZ2iBW711pNnToNsvJCdBKkwF9bZXn8VImGA0ZMsQOPfRQq1u3rn3yySc2fPhwZzht7NixJf6b0aNH28hiKtqmTJli1bXCVxxM9eYfo0y0VeLbau+9D7UFC5rY888vtNzcH80vn322p/qwrFmzLJs1K7ZbnfO6ih5tpQ8Lx9iCBbvbbbfNs969FyWkrV57bR/bsKGtNWmywdLSpjl1TslmaoxfW5vLsa5CWiQSpEXNy2fYsGE2ZsyYUu8zb948a9OmTZHbn3rqKbv00ktt48aNVqVKlah7jJo0aWJr1qyxWvr4HOM0qxdC9+7dLVNLDaNEtJV/bTVuXLoNGZJh3bvn2ttv+7dx2t//nm733pthAwfm2mOPxeY8eF1Fj7ba4cEH0+266zKsU6dcmz59e9zbSlPzW7euZL/+mmbjx2+z/v1D+xae0NeW3r/r1atnWVlZZb5/h7rHaOjQoda/f/9S79OyZctib+/YsaNt27bNFi9ebK1bty72PgpMxYUm/c+K1x+DeD52sqGtEt9WRx3lXs6alW4ZGem+7U2mFa/lyCPTLTMztifB6yp6tJVbZ3T99doeJN2WL093ZknGs63UO/Trr2Z165pdcEElZ8ueZJQZ49dWeR4r1MGofv36zlERc+bMsfT0dGvQoEHMzwtI5pk4lSu705O1P1MJnzviSp+YtQJ3wSUEAL/stZe7Mvy0aWYvvWR2443xfT5vT7RLLjGrVi2+z5WqUmJW2qeffmoPPPCAff311/bzzz/b888/7xReX3DBBbb77rv7fXpAaOhD1/77u9e//dafc9DmnVpxWJNKDzjAn3MA/Jidpte+Sm+0PMXf/hbf50plKRGMNBz20ksv2bHHHmtt27a1O+64wwlG48eP9/vUgNA58ED38rvv/Hl+bx2lww9nfzQEZ3aaPjR8/bXqWuP3PI8+6l6ecooWLY7f86S6UA+lRUuz0T4LynK9QMhpUTs/e4w+/9y9ZBgNQaF6n5493X3T1GsUj81c//hjx2axV1wR+8dHivUYAYh9j5FfwcjrMWILBASJt3fayy+bxWOu93PPueFIc4VOOCH2j48dCEYAKhSMVO+Q6PX9tBTJ3LnudXqMECQa3tIk5h9/1OKjsX1sBa2HH3avX365u6kz4ofmBVAumo6swmdtR7BwYWKfe/Zsd1banntqscnEPjdQGi2No81cZdKk2D72Rx+Zff+9+3vXr19sHxtFEYwAlIs+rXp1RokuwPam6WsYjY1jETTnnhuf4TSvt+iii8xq147d46J4BCMAoakz8obRDjkksc8LROPkk921hX76ye3djIUlS8zeeMO9PnhwbB4TpSMYAQjNzDSvh8p7fiBINNSlcBTL4bTHHzfLzTU77jhe94lCMAIQih4jDU2ozkJ4g0DQZ6dp2r4Cza7QVp3ecnv0FiUOwQhAhYPRggVmW7Yk5jm1P5RWvNZCevvum5jnBMpLBdh16pgtXWo2ffquPdb//Z/Z6tVmjRubnXZarM4QZSEYASg3zQrTbjr6RKxp+4kcRttvPzccAUFUtapZnz7u9WefjU3R9WWXmVVKieWYg4FgBKDcNCPM26csnlsgFER9EcLiwgvdy1decdfeqogvvnAXM9WmzYMGxfT0UAaCEYAK2Wcf9/LnnxPzfAQjhMVRR7l7mWml6rfeqti6Evff716ec45ZgwaxPT+UjmAEoEJatnQvCUZA0bW+LrjAvf7CC+kVmqKvtZDkmmtifHIoE8EIQOCDkWqZmJGGMA6nvfdemq1eXa3ctUXbtpl17apN0ONzfigZwQhA4IPRL7+4tRqqt/CG8IAg0ySB44/XFjZp9s47LaL+d5p5qbWL5Npr43d+KBnBCECFeMFI3f7aNy0Rw2jaWZzZOQiLq65yL6dMaWabNkX3b5580iwry12SonfvuJ4eSkAwAlAhDRuaVa/uLryoHp14or4IYaRg07JlxDZurBxVrZGKte+8070+dKhbq4TEo9kBVHjKvtdrpL2h4olghDDKyDC7/HJ3+euHH04vc2PZsWPNfvvNHS6++OLEnCOKIhgBCHyd0fz57mWbNvF9HiDW+vXLtapVt9m8eWml7p+2apXZPfe419VrxCKm/iEYAQh8MFq0yL1s1Sq+zwPEWu3aZmecsSC/5mjduuLvN2KEOXVIRxxhdvbZiT1HFEYwAhDoYKRZOhpekBbRT+4BAuPMMxda69YR53V8441Fv//MMztmoo0Z4w5Twz8EIwAV5vXgxDMYLV7sXmpvNm3OCYRNZmauPfbYduf6E0+YTZzoTlqQTz7ZseXH3/9udtxxPp4oHAQjADHpMSqrsLSivNBFbxHCrEuXiLMZrAwYYHbyye6QWbdu7nIXZ5xhNmqU32cJYUUQABWm/aC8acZr1pjVrx+/+iIvhAFh9eCDZo0bm40caTZ58o7bu3Qxe/ZZpucHBcEIQIVVrWq2995my5a5PTvxCEb0GCFZaKbZP/5hdtppbkjS78tZZ5m1b09dUZAQjADsEvXkeMGoY8f4BSN6jJAsDjzQbPx4v88CJaHjDkCgZ6Z5Q2n0GAFIBIIRgF3iBRZv9lgsqaCbGiMAiUQwArBLVGMkK1bE/rG17svmzW79RdOmsX98ANgZwQjALtlrL/dSdUax5g3PaSZPlSqxf3wA2BnBCEBMgtHy5bF/bIbRACQawQhATIKRhr1ycmL72EzVB5BoBCMAu6RevR07ga9cGdvHpscIQKIRjADsEq3Wu+ee8akzoscIQKIRjAAEts6IHiMAiUYwAhCzKfuxDEbbt5stXVp4TzYAiDeCEYBA9hipmFvhSEN1DRvG7nEBoDQEIwCBXMvIWzBSoSgjI3aPCwClIRgBCGSPkfdYXmE3ACQCwQhAIGuMvB4jL3QBQCIQjAAEuseIYAQgkQhGAHaZF17Wr3c3fY0FhtIA+IFgBGCX1aplVr16bHuNGEoD4AeCEYBdlpYW+zojhtIA+IFgBCCQdUZejxFDaQASiWAEIHBrGWlhR29DWnqMACQSwQhATMRyKE2rXufmuqteN2iw648HANEiGAEI3FAaq14D8AvBCEDgghGF1wD8QjACEBNekbTX27MrKLwG4BeCEYCYqFfPvfz9911/LHqMAPiFYAQgJvbYw71ct86dVbYrCEYA/EIwAhATdeu6l5GIG452BUNpAPxCMAIQE5mZZrVru9fXrNm1x6LHCIBfCEYAAldnRI8RAL8QjADEvM5oV3qMWPUagJ8IRgAC1WPEqtcA/EQwAhDzYLQrPUaseg3AT0kTjO644w7r3LmzVa9e3erUqVPsfX799Vfr3bu3c58GDRrY9ddfb9u2bUv4uQLJKhZDaatXu5f0FgHwQyVLElu3brU+ffpYp06d7Mknnyzy/e3btzuhqFGjRvbJJ5/YihUr7KKLLrLMzEy78847fTlnINnEYijN+7deyAKAREqaHqORI0faNddcYwcddFCx358yZYp9//339txzz9khhxxiJ554oo0aNcoeeeQRJ1QBCEaPEcEIgJ+SpseoLJ9++qkTmhqqcCFPz5497W9/+5t999131r59+yL/Jjs72zk8GzZscC5zcnKcI5a8x4v14yYj2iq4bVWnTprzZ2XNmlzLyanY8te//abPaxlWp852y8nJtUThdRU92ip6tFUw2qs8j5cywWjlypWFQpF4X+t7xRk9erTTE1Vc75PqlOJh6tSpcXncZERbBa+tFixQN08X++WXTTZ58ocVeozZs9Xr29LWrfvJJk+eZ4nG6yp6tFX0aCt/22vz5s3JEYyGDRtmY8aMKfU+8+bNszZt2sTl+YcPH27XXnttoR6jJk2aWI8ePaxWrVoxT7N6IXTv3t2pe0LJaKvgtlXTpmY332y2ZctudtJJJ1XoMV580Z2K1qFDKzvppBaWKLyuokdbRY+2CkZ7eSM+CQtG+kHU66JEVr9+favrbZq0i4YOHWr9+/cv9T4tW7aM6rFUdP35558Xum3VqlX53ytOlSpVnGNn+p8Vrxd4PB872dBWwWsrb6XqdevSLD09s0LT7devdy8bNMiwzMzEz9fndRU92ip6tJW/7VWex6pwMPrjjz+cQuaXXnrJCRwqYI5EIpaWlmaNGzd2elX++te/2hFHHFHRp3BClo5Y0Gw1Ten/7bffnKn6olSqnp8DDjggJs8BpDrvM5EWaFTAqUgBNcXXAEI3K23s2LHWvHlzmzBhgnXr1s3eeOMNmzNnjs2fP98pch4xYoSzPpDCUa9evWzBggUWb1qjSOegS03N13UdGzdudL6vc1EAuvDCC+3rr7+29957z2666SYbPHhwsb1CAMqvcmUzb5S5olP2CUYA/FShHqNZs2bZjBkzrG3btsV+v0OHDnbxxRfbuHHjnPD08ccf27777mvxdMstt9jTTz+d/7U3y2zatGnWtWtXy8jIsLfeesuZhabeoxo1ali/fv3stttui+t5AalGgUbD+Zqyv99+FQ9GMRqRB4D4B6MXX3wxqvupJ+ayyy6zRJg4caJzlKZZs2Y2efLkhJwPkMqLPC5aVLG1jDSj1quRpMcIgB92ufj6999/tz3y/oItWbLEnnjiCfvzzz/tlFNOsWOOOSYW5wggRLxAU5GhtLVr3cu0NLPdd4/teQFAXFe+njt3rlNnpEJmTZdXPY8Kre+//34bP368HX/88U7tEYDUsisbyXphStsdsoEsgFAFoxtuuMFZSVq1RqrhOfnkk529yLKysmzdunV26aWX2l133RXbswWQ1PulUXgNILRDaSrA/vDDD61du3Z28MEHO71El19+uaWnu1nryiuvtCOPPDKW5wogyfdL84bSCEYAQtdjtHbt2vyFEXfbbTdnltfuBYoCdF1rHQFILbEYSiMYAQhdMBIt5lja1wBSz64UXzNVH0CoZ6Vpuw5vccQtW7Y4U/PVcyQFd6UHkDroMQKQksFIiyMWdMEFFxS5z0UXXVTRhweQwj1GBCMAoQtGWtEaAEqblaY90/LmY0SFYAQg1DVGALAzL9R4G8mWB8EIQCh7jK699tpybTgLIHWo7LBqVdUdutt7lKeQmmAEIJTB6Kuvvir09ezZs23btm3WunVr5+v58+c7m7YedthhsTlLAKFSq9aOYFQeBCMAoQxG2rG+YI9QzZo1nZ3tvXWMtPL1gAED7Oijj47dmQIIVTD67bfyBaNIZMcCj0zXBxDaGqP77rvPRo8eXWRxx9tvv935HoDUDEZSnmC0aZPZ1q3udXqMAIQ2GG3YsMFWr15d5HbdxsrXQGqqWdO9LM+fAG8YrXJls7zl0AAgfMHojDPOcIbNXnvtNVu6dKlzvPrqqzZw4EA788wzY3OWAJK+x6hgfRGL6AMI5crXMm7cOLvuuuusb9++lpOT4z5opUpOMLrnnnticY4AUiwYAUBog1H16tXt0UcfdULQTz/95NzWqlWr/K1BAKQeghGAlBpK+/XXX4vcpiDUrl0759g5FC1btqziZwggpYIRM9IAhC4YHXHEEXbppZfarFmzSrxPVlaWPfHEE3bggQc6NUcAUkdFgtG6de4lwQhA6IbSvv/+e7vjjjuse/fuVrVqVWchx7322su5rjWM9P3vvvvODj30ULv77rvtpJNOiv2ZA0iqYOTd1/u3ABCaHqM99tjDWdhxxYoV9vDDD9u+++5ra9assQULFjjfP//88+3LL7+0Tz/9lFAEpKCKBCNvar831R8AQld8Xa1aNTv77LOdAwB2DkblWcfIuy89RgBCvY4RAOyMHiMAYUUwAhBzXrghGAEIG4IRgJijxwhAWBGMAMQ1GEUi0f0bL0QRjAD4iWAEIG7BSKFo06bo/g09RgBCGYz+/PPPYley1rpFACDVq5ulp5dvOI1gBCB0weiVV15x1izq3bu3s/XHzJkz87934YUXxuP8AIRQWlr56oxyc802bnSvE4wAhCYY3X777c7CjXPmzLEJEybYwIED7YUXXnC+F4m2kABASijPWkYFh9tYxwhAaBZ4zMnJsYYNGzrXtQ3IjBkz7IwzzrCFCxdamj4iAkCe8vQYeeFJw2/VqsX3vAAgZj1GDRo0sG+++Sb/67p169rUqVNt3rx5hW4HgIoEIw2j8RkLQGiC0bPPPuuEo4IqV65sL774ok2fPj3W5wYgRRZ5pPAaQCiH0ho3blzi94466qhYnA+AFO8xAgA/sY4RgLggGAFI+h4jT4sWLSpUbH311VfbkCFDKvKUAJI4GLHqNYBQB6OJEydW6MmaN29eoX8HIHzoMQKQMsHo2GOPjf2ZAEjZdYwIRgCCghojAIHpMWJxRwApE4wKbh8CIPkxlAYgjBIWjPr06ZOopwIQAAQjAClTY1SSc845p9jbtY/a2rVrY/lUAAKOBR4BWKoHo/fff99ZHXu33XYrEoy0rxqA1EGPEQBL9WDUtWtXq1mzph1zzDFFvteuXbtYPhWAgCMYAQijmAaj1157rcTvabNZAKkXjLKz3aNKlZLvywKPAIKCWWkA4qJgyClrLSN6jAAEBbPSAMRFpUpm1auXLxixjhEAvzErDUDcKOhs3lx2nRE9RgCCgllpAOIajFauLD0Ybd3qHkIwAuA3ZqUB8HVmWsFhNoIRAL8xKw1A3Hidx6XVGHnfq1rVrUsCgFAWX3/33Xe2cOHC2J4NgKRSrZp7+eefJd+H+iIASRGMrr32Wnv00UcL3fb222/b+eefb9dcc40tXrw4FucHIMQIRgBSJhh9/fXXdtZZZ+V/PW/ePDvjjDNs+vTp9txzz1mHDh1s+fLlsTpPAEkajFjcEUBSBKOsrCxr0qRJ/tfPPPOMtWzZ0n755RdbunSpHXzwwXbXXXfF6jwBJHmPEWsYAQh1MGrcuLGtWLEi/+sPPvjAWcQxIyPDqlSpYsOHD7cpU6bE6jwBhBBDaQBSJhh169bNxo4d61xXL9Hs2bOtR48e+d9v1aqVLVmyxBLljjvusM6dO1v16tWtTp06xd4nLS2tyPHSSy8l7ByBVEMwAhA2FZ4ce9NNN1n79u2d4bMtW7Y4w2pdunTJ//6qVauKLPQYT1u3bnV6rDp16mRPPvlkifebMGGC9erVK//rkkIUgF1HMAKQMsFo7733tlmzZtmDDz5o69evtyuuuMLpgfF8+OGHtt9++1mijBw50rmcOHFiqfdTEGrUqFGCzgpIbQQjAGGzS8upNWvWzO67775iv/f9998XmrUWFIMHD7ZLLrnE6em67LLLbMCAAYUCXUHZ2dnO4dmQN30mJyfHOWLJe7xYP24yoq3C01aVK2u0PsM2bcq1nJztxd4nK8u9T/Xq2y0nJ9dSta3ChLaKHm0VjPYqz+PFbZ1ZzVILmttuu82OP/54pw5JheGXX365bdy40YYMGVLs/UePHp3fE1WQ/q0eIx5YITx6tFXw22rhwmZmdoj98ssqmzz582Lv88MPh5pZE1u2bJ5NnvyT+Y3XVfRoq+jRVv6212btZh2ltIh2eC2nFi1alNjLUpqrr766xBBSnGHDhtmYMWNKvY/WT2rTpk3+1xpK0/NoeK8st9xyi1NzVFKReHE9RqqlWrNmjdWK8dxipVm9ELp3726ZmZkxfexkQ1uFp61eeCHN+vevZCeckGvvvFN8j9FZZ2XYm2+m2yOPbLdBg/ztMeJ1FR3aKnq0VTDaS+/f9erVc5YaKuv9u0I9RmXV8ZSkefPm5br/0KFDrX///qXeR0NiFdWxY0cbNWqUE360xMDOdFtxt+t/Vrxe4PF87GRDWwW/rby6oS1b0i0zs/hJsN4Hudq1MywzM8P8xusqerRV9Ggrf9urPI9VoWB07LHHWiLUr1/fOeJlzpw5tvvuuxcbfgAkpvja+16cRqcBoFySZi/rX3/91dauXetcbt++3Qk9ss8++zjLBrz55pvOEgJHHnmkVa1a1emqu/POO+26667z+9SBlA5GW7a4l1WrJuacACAlgpHqhZ5++un8r7XGkkybNs26du3qdKM98sgjzga3KqtSYNIClYMGDfLxrIHkVp4eI+++AOCnpAlGqnsqrfZJizoWXNgRQPzRYwQgZbYEAYBog1FpM2UJRgCChGAEIG4YSgMQNgQjAHHjhZ1t29yjOPQYAQgSghGAuCnYC1Rcr5GWlyUYAQgSghGAuCkYdooLRgUWlmcoDUAgEIwAxE16ulaQLzkYeb1FQo8RgCAgGAHwrQDbu01bL7JbAoAgIBgB8C0YeT1Guk8F9qUGgJgjGAHwPRgxjAYgKAhGAHwfSqPwGkBQEIwAxBU9RgDChGAEIK4IRgDChGAEIK4YSgMQJgQjAHFFjxGAMCEYAYgrghGAMCEYAYir6tXdS4bSAIQBwQhAXNFjBCBMCEYA4opgBCBMCEYA4opZaQDChGAEIK7oMQIQJgQjAHFFMAIQJgQjAHHFUBqAMCEYAYgreowAhAnBCEBCgtHmzUW/RzACEDQEIwBxxVAagDAhGAGIK4bSAIQJwQhAXNFjBCBMCEYA4ooeIwBhQjACEFcEIwBhQjACEFcMpQEIE4IRgLjyQk92tllubuHv0WMEIGgIRgDiqmBvkBeEdv6aYAQgKAhGABIWjHYeTmMoDUDQEIwAxFWlSu5RXDCixwhA0BCMAPhSgL19u1lOjnudYAQgKAhGAHwJRgXrjRhKAxAUBCMAvgejKlUSf04AUByCEYC4q1695GBUsAYJAPxGMALgS48RM9IABBHBCICvQ2kUXgMIEoIRgLgjGAEIC4IRgLhjKA1AWBCMAMQdPUYAwoJgBCDu6DECEBYEIwBxR48RgLAgGAGIO4IRgLAgGAFIWDDavHnHbQylAQgighGAuPN6hQpuA0KPEYAgIhgBiDtvL7Ts7B23EYwABBHBCIAvwYihNABBRDACEHderxA9RgCCjmAEIO4YSgMQFgQjAHHHUBqAsCAYAYg7eowAhAXBCEDcEYwAhAXBCEDCglHBdYwYSgMQRAQjAHFHjxGAsEiKYLR48WIbOHCgtWjRwqpVq2atWrWyESNG2NatWwvd75tvvrGjjz7aqlatak2aNLG7777bt3MGUgnT9QGERSVLAj/88IPl5uba448/bvvss499++23NmjQINu0aZPde++9zn02bNhgPXr0sG7dutm4ceNs7ty5dvHFF1udOnXsr3/9q98/ApDUmJUGICySIhj16tXLOTwtW7a0H3/80R577LH8YPT88887PUhPPfWUVa5c2dq2bWtz5syxsWPHEoyAOGMoDUBYJEUwKk5WVpbVrVs3/+tPP/3UjjnmGCcUeXr27GljxoyxdevW2e67717kMbKzs53Do14nycnJcY5Y8h4v1o+bjGir8LVVujNon2nZ2RHLydnm3LZli/78pFlm5jbLyYmY34LSVmFAW0WPtgpGe5Xn8ZIyGC1cuNAeeuih/N4iWblypVODVFDDhg3zv1dcMBo9erSNHDmyyO1Tpkyx6tWrx+Xcp06dGpfHTUa0VXjaau1adRn1cnqM3n57sqWlma1b10MDafbFF/+1deuyLCj8bqswoa2iR1v5216bN29OjmA0bNgwp0enNPPmzbM2bdrkf71s2TJnWK1Pnz5OndGuGD58uF177bWFeoxUtK1apVq1alms06xeCN27d7fMzMyYPnayoa3C11Zr17qXublp1qPHSeaeivvn54QTjrIDDjDfBaWtwoC2ih5tFYz28kZ8Qh+Mhg4dav379y/1Pqon8ixfvtyOO+4469y5s40fP77Q/Ro1amSrVq0qdJv3tb5XnCpVqjjHzvQ/K14v8Hg+drKhrcLTVrvttuN6bq7OZUfxda1a7tdB4XdbhQltFT3ayt/2Ks9jBToY1a9f3zmioZ4ihaLDDjvMJkyYYOluUUO+Tp062T/+8Q8njXoNpFTaunXrYofRAMROwc8XGk6rUYPiawDBlBTrGCkUde3a1Zo2berUFa1evdqpG9Lh6du3r1N4rfWOvvvuO5s0aZL985//LDRUBiA+KlUyy8jYEYxUB5mb637NdH0AQRLoHqNoqedHBdc6GjduXOh7kYg726V27dpO0fTgwYOdXqV69erZLbfcwlR9IIG9Rqp/VDDyhtGEYAQgSJIiGKkOqaxaJGnXrp19/PHHCTknACUHI2+CiGanFVhBAwB8lxRDaQDCtchjwVWvFY4AICiSoscIQHiCkYquVXMkDKMBCBqCEYCE9xh5hdgEIwBBQzACkPBg5A2fEYwABA3BCEBCeOsVKRjlTRa1OO2sAwAVRjACkPAeo+3b3ev0GAEIGoIRgIQHI2+ja4IRgKAhGAFIeDDyhtIIRgCChmAEICEYSgMQBgQjAAlfx2jbNvc6wQhA0BCMACS8x2jrVvc6wQhA0BCMACQ8GKnXSAhGAIKGvdIAJHwdo4J7pQFAkBCMAPi2iSwLPAIIGoIRAN+CET1GAIKGYAQgIQhGAMKAYAQg4dP1N292rxOMAAQNwQhAQtBjBCAMCEYAEoJgBCAMCEYAEoLp+gDCgGAEICHoMQIQBgQjAAlBMAIQBgQjAAnBAo8AwoBgBCDh0/XpMQIQVAQjAAnvMWIdIwBBRTACkNBgtHGjWW6ue51gBCBoCEYAEhqM1q/fcRvBCEDQEIwAJHQdI9UYSVrajrAEAEFBMAKQEDuHIAUlhSMACBKCEQBfghHDaACCiGAEwJdgxBpGAIKIYAQgIegxAhAGBCMACUEwAhAGBCMACZGR4R4eghGAICIYAUj4lH0hGAEIIoIRAF+G0whGAIKIYAQgYQhGAIKOYAQgYQhGAIKOYAQgYQhGAIKOYATAl2DEAo8AgohgBCBh6DECEHQEIwAJQzACEHQEIwAJwzpGAIKOYAQgYegxAhB0BCMACUMwAhB0BCMACUMwAhB0BCMACUMwAhB0BCMACUMwAhB0BCMACcMCjwCCjmAEIGGYrg8g6AhGABKGoTQAQUcwApAwBCMAQUcwApAwBCMAQUcwApAwBCMAQUcwApAwBCMAQUcwAuBLMCo4Qw0AgoJgBCDhwUi9RWlpfp8NACRpMFq8eLENHDjQWrRoYdWqVbNWrVrZiBEjbOvWrYXuk5aWVuT47LPPfD13IJV4vUQMowEIqkqWBH744QfLzc21xx9/3PbZZx/79ttvbdCgQbZp0ya79957C933/ffft7Zt2+Z/vccee/hwxkBqKthjBABBlBTBqFevXs7hadmypf3444/22GOPFQlGCkKNGjXy4SwBEIwABF1SBKPiZGVlWd26dYvcfuqpp9qWLVtsv/32sxtuuMH5uiTZ2dnO4dmwYYNzmZOT4xyx5D1erB83GdFW4W2rdu3M2ratZKedlms5ObkWJEFrqyCjraJHWwWjvcrzeGmRSCRiSWbhwoV22GGHOb1FGlKTNWvW2DPPPGNHHXWUpaen26uvvmp33323vfHGGyWGo1tvvdVGjhxZ5PYXXnjBqrMDJgAAobB582br27ev02lSq1at8AajYcOG2ZgxY0q9z7x586xNmzb5Xy9btsyOPfZY69q1q/3rX/8q9d9edNFFtmjRIvv444+j7jFq0qSJE7LKatiKpNmpU6da9+7dLTMzM6aPnWxoq+jRVtGjraJHW0WPtgpGe+n9u169elEFo0APpQ0dOtT69+9f6n1UT+RZvny5HXfccda5c2cbP358mY/fsWNH539ASapUqeIcO9P/rHi9wOP52MmGtooebRU92ip6tFX0aCt/26s8jxXoYFS/fn3niIZ6ihSKNIQ2YcIEZ7isLHPmzLE999wzBmcKAACSQaCDUbQUijR01qxZM6euaPXq1fnf82agPf3001a5cmVr37698/Vrr71mTz31VJnDbQAAIHUkRTDScJgKrnU0bty40PcKllCNGjXKfvnlF6tUqZJTlzRp0iQ7++yzfThjAAAQREkRjFSHVFYtUr9+/ZwDAAAgqbcEAQAAiAWCEQAAQB6CEQAAQB6CEQAAQB6CEQAAQB6CEQAAQB6CEQAAQB6CEQAAQDIt8Jgo3ira2qU3HjsKb9682XlsNhosHW0VPdoqerRV9Gir6NFWwWgv73274G4YJSEYlcMff/zhXDZp0sTvUwEAABV4H69du3ap90mLRBOf4MjNzbXly5dbzZo1LS0tLaaPrTSrwLVkyRKrVatWTB872dBW0aOtokdbRY+2ih5tFYz2UtRRKNprr70sPb30KiJ6jMpBjbnzJrWxphcCvzzRoa2iR1tFj7aKHm0VPdrK//Yqq6fIQ/E1AABAHoIRAABAHoJRQFSpUsVGjBjhXKJ0tFX0aKvo0VbRo62iR1uFr70ovgYAAMhDjxEAAEAeghEAAEAeghEAAEAeghEAAEAegpGPbr31VmcF7YJHmzZt/D6twFq2bJldcMEFtscee1i1atXsoIMOsi+++MLv0wqk5s2bF3lt6Rg8eLDfpxY427dvt5tvvtlatGjhvK5atWplo0aNimpPpVSk1YOvvvpqa9asmdNenTt3tlmzZlmqmzFjhp1yyinOysr6XXvjjTcKfV+vp1tuucX23HNPp926detmCxYssFQ0o4y2eu2116xHjx7O33p9f86cOQk9P4KRz9q2bWsrVqzIP/773//6fUqBtG7dOjvqqKOcTQXfeecd+/777+2+++6z3Xff3e9TCyS9URV8XU2dOtW5vU+fPn6fWuCMGTPGHnvsMXv44Ydt3rx5ztd33323PfTQQ36fWiBdcsklzuvp2Weftblz5zpvYHqT1weXVLZp0yY7+OCD7ZFHHin2+3pNPfjggzZu3DibOXOm1ahRw3r27GlbtmyxVLOpjLbS97t06eL8LvpC0/XhjxEjRkQOPvhgv08jFG688cZIly5d/D6N0LrqqqsirVq1iuTm5vp9KoHTu3fvyMUXX1zotjPPPDNy/vnn+3ZOQbV58+ZIRkZG5K233ip0+6GHHhr5xz/+4dt5BY3eWl9//fX8r/V716hRo8g999yTf9v69esjVapUibz44ouRVGY7tVVBixYtcr7/1VdfJfSc6DHymbpS1Z3YsmVLO//88+3XX3/1+5QC6T//+Y8dfvjhTo9HgwYNrH379vbEE0/4fVqhsHXrVnvuuefs4osvjvnmx8lAQ0EffPCBzZ8/3/n666+/dnpuTzzxRL9PLXC2bdvmDD1WrVq10O0aGqK3u2SLFi2ylStXOj1rBfft6tixo3366ae+nhuKIhj5SL8UEydOtHfffdfpytcvz9FHH+2M4aOwn3/+2Wmjfffd19577z3729/+ZkOGDLGnn37a71MLPI3fr1+/3vr37+/3qQTSsGHD7C9/+YtT36ehWoVu1dDogwoKq1mzpnXq1MmpwVq+fLkTkhS69eauIVsUT6FIGjZsWOh2fe19D8FRye8TSGUFP5G2a9fOCUoqaHz55Zdt4MCBvp5b0OTm5jo9Rnfeeafztd68vv32W2e8vl+/fn6fXqA9+eSTzmtNPZMoSr9vzz//vL3wwgtOzZ8KPRWM1F68topSbZF6H/fee2/LyMiwQw891M477zz78ssv/T41ICboMQqQOnXq2H777WcLFy70+1QCRzM5DjjggEK37b///gw9luGXX36x999/3ymYRfGuv/76/F4jzXS88MIL7ZprrrHRo0f7fWqBpFl706dPt40bN9qSJUvs888/t5ycHKccAMVr1KiRc7lq1apCt+tr73sIDoJRgOgPzU8//eSEABSmGWk//vhjodtUE6IeNpRswoQJTk1W7969/T6VwNq8ebOlpxf+U6ieEPVSomSaVaW/VZoxquHt0047ze9TCiwtBaEApFo2z4YNG5zZaRqaRLAwlOaj6667zlnLQW/uGq/XjsL6g6xuaRSmT/AqktVQ2jnnnON8Sh0/frxzoHh6Y1cw0nBQpUr8qpdEv4N33HGHNW3a1BlK++qrr2zs2LHOcBGKUgjSZKLWrVs7vdvqcVN91oABAyzVP9gW7O1XzaiGZevWreu8tjQ8e/vttzt1kgpKWjtLw7Wnn366pZqNZbTV2rVrndEAvS+K96FY4TIhPWwJnQOHQs4999zInnvuGalcuXJk7733dr5euHCh36cVWG+++WbkwAMPdKa4tmnTJjJ+/Hi/TynQ3nvvPWeq648//uj3qQTahg0bnOUMmjZtGqlatWqkZcuWztTz7Oxsv08tkCZNmuS0kf5uaQr64MGDnannqW7atGnO79vOR79+/fKn7N98882Rhg0bOn/DTjjhhJT93ZxWRltNmDCh2O9riZtESNN/4h+/AAAAgo8aIwAAgDwEIwAAgDwEIwAAgDwEIwAAgDwEIwAAgDwEIwAAgDwEIwAAgDwEIwAAgDwEIwCIk61bt9o+++xjn3zyiW/noA1yr7zySt+eHwgbghGAqPTv39/S0tKKHAX3PEJh48aNc/bF0j5/BU2bNs1OPvlkq1+/vlWtWtXZsf7cc8+1GTNm5N/no48+ctp3/fr1RR63efPm9sADD0S9J+PTTz9tP//8cwx+IiD5EYwARK1Xr162YsWKQofe+IvrKUl12m3p4YcftoEDBxa6/dFHH7UTTjjB9thjD5s0aZKzQebrr7/uhCdtlhxr9erVs549e9pjjz0W88cGkhHBCEDUqlSpkr/DtXdkZGRY165d7YorrnB2EPfeiOXbb7+1E0880XbbbTdr2LChXXjhhbZmzZr8x9u0aZNddNFFzvf33HNPu++++5zH0uN41GvyxhtvFDqPOnXq2MSJE/O/XrJkiZ1zzjnO7dqh+7TTTrPFixcX6u3SLub33nuv8zwKJYMHD7acnJz8+2RnZ9uNN95oTZo0cX5ODYE9+eSTTsDRdf3bgrQbeGk9Zl9++aX99NNP1rt37/zbtGO4fjYd6sU5/vjjrVmzZtauXTu76qqr7Isvvij3/xO1Q3E9ebfeemv+fU455RR76aWXyv3YQCoiGAGICb3RV65c2f73v/85Q0gaAtIbf/v27Z03/HfffddWrVrlBBjP9ddfb9OnT7d///vfNmXKFGf4aPbs2eV6XoUbBbGaNWvaxx9/7Dy/gpZ6twr2XGn4SkFFlzpXBYqC4UoB7cUXX7QHH3zQ5s2bZ48//rjzOAoZF198sU2YMKHQ8+rrY445xglNxdG57Lfffs55eV599VXnfG+44YZi/42eq7w0BFewB08/Q6VKleyoo47Kv0+HDh1s6dKlhcIigBJEACAK/fr1i2RkZERq1KiRf5x99tnO94499thI+/btC91/1KhRkR49ehS6bcmSJRH92fnxxx8jf/zxR6Ry5cqRl19+Of/7v//+e6RatWqRq666Kv823f/1118v9Di1a9eOTJgwwbn+7LPPRlq3bh3Jzc3N/352drbzOO+9917+uTdr1iyybdu2/Pv06dMncu655zrXdT56nqlTpxb7sy9btsz52WfOnOl8vXXr1ki9evUiEydOLLG99DMcf/zxhW677LLLIrVq1Sp02yuvvFKoTb/55hvn9mnTpjnnVPB73pGWlha5//77izznwoULI3Xr1o3cfffdhW7PyspyHuujjz4q8XwBuCqVFJgAYGfHHXdcoVqVGjVq5F8/7LDDCt3366+/dnpn1OuyM/Xc/Pnnn06PTseOHfNv1zBY69aty3VOeh4NZxXsmZEtW7Y4z+Np27atM+zn0ZDa3Llz84fF9L1jjz222OfYa6+9nCGxp556yul9efPNN52htz59+pR4Xvr5VFhdVq+Qerv0/MuWLXOGEbdv316k52nnn03321lWVpZT0K3zVE9cQdWqVXMuN2/eXOL5AnARjABETUGopKGjgiFJNm7c6NS2jBkzpsh9FUqinc2mIOF2HO1QsDZIz6NQ9vzzzxf5t5r15cnMzCzyuLm5uYWCQ2kuueQSp0bq/vvvd4bRNIRVvXr1Eu+vWisveHn23XdfJ8CsXLnSqc8SBUe1qYa/iqPidtVOFbTzfRWmdD61atWy8ePHF3mMtWvXFmkPAMWjxghAXBx66KH23XffOVPL9cZf8FCI0hR1hZWZM2fm/5t169bZ/PnzCz2O3sxVO+NZsGBBoZ4PPY9ua9CgQZHnqV27dlTnetBBBzkhSfVOJTnppJOc81aPmeqlVHdUGtVW/fDDD4VC3dlnn+38zMWFxV2h2WwKYSpSL66XSkXwel71mgEoHcEIQFxo1pd6Ks477zybNWuWM6z13nvv2YABA5weDvWUaCq7hn0+/PBD581bs8fS0wv/WVIBt6a9f/XVV04R92WXXVao9+f88893emc0E03DTosWLXKKuIcMGeIUHEdD4a1fv35O2FG48B7j5Zdfzr+Phtp0fsOHD3d6fjp16lTmsKN6sxQOPU2bNnVm3v3zn/90nk9DjSqIVsG5ir695ykP9V5pCQAVvKsXTL1ROvTcHrXL0UcfHVXPGJDqCEYA4kJ1OZohphDUo0cPp1dG09Q1LOSFn3vuucd5w9aQW7du3axLly5FapUUJDSFXvfr27evs2BhwSEsXdfCiAodZ555pu2///5O4FKNkYaWoqWeIPXoXH755damTRsbNGiQs5xAQXpc1UUp3JVFSwKcccYZRYb4tAq1ZuCtXr3aeT6FLPVGKYypJ0rtVB7q5VIbn3rqqc4QpXcUXF5AU/X18wAoW5oqsKO4HwAkhAqLDznkkKhXdk4k9bxocUatm6R1mcryzTffWPfu3Z3esuKK0BPhnXfesaFDhzrnUlIdE4Ad6DECgDJoBpqG5bRoomaiRROKRAs3qp5IvUF+Ua+XhtsIRUB0+E0BgDJo0UQNo6kn65lnninXv1Vdkp80XAcgegylAQAA5GEoDQAAIA/BCAAAIA/BCAAAIA/BCAAAIA/BCAAAIA/BCAAAIA/BCAAAIA/BCAAAwFz/D+zMmIcOAm6zAAAAAElFTkSuQmCC",
       "text/plain": [
        "
"
       ]
@@ -946,17 +1026,17 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The batch data associated with the `TerminalComponentModeler` contains all the monitor data. It is arranged as a `dict` with one entry for each port excitation. The key names are formatted as `'smatrix_port_name'` where `port_name` is the name of the port excitation. "
+    "The dictionary stored in the `data` attribute of the `TerminalComponentModelerData` instance contains all the monitor data. Use the respective port name as the dictionary key to access the data associated with the desired port excitation. "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Get simulation data associated with the lumped port excitation\n",
-    "sim_data = batch_data[\"smatrix_lumped_port\"]"
+    "sim_data = tcm_data.data[\"lumped_port\"]"
    ]
   },
   {
@@ -968,12 +1048,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -1025,7 +1105,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1049,7 +1129,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1061,17 +1141,17 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's plot the antenna impedance near the first resonance. "
+    "Let's plot the antenna impedance near the first resonance. We observe a very good match with $Z_0$ at resonance. "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -1106,17 +1186,17 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Directivity, gain and other commonly used antenna metrics are automatically calculated by the `TerminalComponentModeler` when one or more `radiation_monitor` is defined. The user can obtain the far-field metrics by calling the `get_antenna_metrics_data()` method. "
+    "Directivity, gain and other commonly used antenna metrics are automatically calculated when one or more `radiation_monitor` is defined. The user can obtain the far-field metrics by calling the `get_antenna_metrics_data()` method on the TCM data object. "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Get antenna metrics\n",
-    "antenna_metrics = modeler.get_antenna_metrics_data()"
+    "antenna_metrics = tcm_data.get_antenna_metrics_data()"
    ]
   },
   {
@@ -1128,7 +1208,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1189,12 +1269,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -1225,12 +1305,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -1264,7 +1344,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1275,24 +1355,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/yuanshenli/Documents/GitHub/tidy3d/tidy3d-dev/lib/python3.13/site-packages/mpl_toolkits/mplot3d/art3d.py:1403: RuntimeWarning: divide by zero encountered in matmul\n",
+      "  shade = ((normals / np.linalg.norm(normals, axis=1, keepdims=True))\n",
+      "/Users/yuanshenli/Documents/GitHub/tidy3d/tidy3d-dev/lib/python3.13/site-packages/mpl_toolkits/mplot3d/art3d.py:1403: RuntimeWarning: overflow encountered in matmul\n",
+      "  shade = ((normals / np.linalg.norm(normals, axis=1, keepdims=True))\n"
+     ]
+    },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f1ea531cffbc48b3a6ff494ba4a40f23",
+       "model_id": "e3602e3ecc66449c93e6ba96925fdac4",
        "version_major": 2,
        "version_minor": 0
       },
-      "image/png": "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",
+      "image/png": "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",
       "text/html": [
        "\n",
        "            
\n",
        "                
\n",
        "                    Figure\n",
        "                
\n",
-       "                \n",
+       "                \n",
        "            
\n",
        "        "
       ],
@@ -1354,7 +1444,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1379,7 +1469,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1389,12 +1479,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -1406,10 +1496,10 @@
    "source": [
     "# Plot main lobe axial ratio vs frequency\n",
     "fig, ax = plt.subplots()\n",
-    "ax.plot(freqs / 1e9, axial_ratio_main_lobe)\n",
+    "ax.plot(freqs / 1e9, 10*np.log10(axial_ratio_main_lobe))\n",
     "ax.grid()\n",
     "ax.set_xlabel(\"f (GHz)\")\n",
-    "ax.set_ylabel(\"Axial ratio\")\n",
+    "ax.set_ylabel(\"Axial ratio (dB)\")\n",
     "plt.show()"
    ]
   },
@@ -1428,15 +1518,22 @@
     "\n",
     "[1] Sheen, D.M., Ali, S.M., Abouzahra, M.D. and Kong, J.A., 1990. Application of the three-dimensional finite-difference time-domain method to the analysis of planar microstrip circuits. IEEE Transactions on microwave theory and techniques, 38(7), pp.849-857.\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "description": "Patch antennas are widely used in wireless communication applications due to their simple design, ease of fabrication, and low profile. In this notebook, we will demonstrate how to use Tidy3D to simulate a rectangular patch antenna and compute key performance metrics. These include S-parameters using the TerminalComponentModeler, as well as directivity, axial ratio, and polarized far-field components using the DirectivityMonitor.",
   "feature_image": "./img/PatchAntenna.png",
   "kernelspec": {
-   "display_name": ".venv",
+   "display_name": "Python (dev env)",
    "language": "python",
-   "name": "python3"
+   "name": "tidy3d-dev"
   },
   "keywords": "patch antenna, directivity, axial ratio, S-parameters, Tidy3d, FDTD",
   "language_info": {
@@ -1449,7 +1546,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.5"
+   "version": "3.13.2"
   },
   "title": "How to compute directivity and S-parameters of patch antenna using Tidy3D FDTD"
  },
diff --git a/CircularlyPolarizedPatchAntenna.ipynb b/CircularlyPolarizedPatchAntenna.ipynb
index e583d4ed..17155236 100644
--- a/CircularlyPolarizedPatchAntenna.ipynb
+++ b/CircularlyPolarizedPatchAntenna.ipynb
@@ -26,14 +26,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2025-01-30T16:12:46.772112Z",
      "start_time": "2025-01-30T16:12:44.481262Z"
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Configured successfully.\n"
+     ]
+    }
+   ],
    "source": [
     "# standard python imports\n",
     "import matplotlib.pyplot as plt\n",
@@ -41,13 +49,20 @@
     "\n",
     "# tidy3d imports\n",
     "import tidy3d as td\n",
+    "import tidy3d.web as web\n",
     "\n",
     "# Import a few plugins which contain some of the tools we will use in this tutorial\n",
     "import tidy3d.plugins.smatrix as smatrix\n",
     "from tidy3d.plugins.dispersion import FastDispersionFitter\n",
     "from tidy3d.plugins.microwave import LobeMeasurer\n",
     "\n",
-    "td.config.logging_level = \"ERROR\""
+    "td.config.logging_level = \"ERROR\"\n",
+    "\n",
+    "import os\n",
+    "import tidy3d.web as web\n",
+    "from tidy3d.web.core.environment import Env, dev\n",
+    "Env.set_current(dev)\n",
+    "web.configure(os.environ[\"TIDY3D_DEV_API_KEY\"])"
    ]
   },
   {
@@ -64,7 +79,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {
     "ExecuteTime": {
      "start_time": "2025-01-30T16:12:50.238269Z"
@@ -77,7 +92,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4cac75e833184a6f9d1418804727cdd1",
+       "model_id": "773a905766704a5095a40abc7977ef28",
        "version_major": 2,
        "version_minor": 0
       },
@@ -180,12 +195,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA90AAAHpCAYAAACful8UAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjYsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvq6yFwwAAAAlwSFlzAAAPYQAAD2EBqD+naQAAgnRJREFUeJzs3X98z/X+//H7hv2w2WZjm/m5kPlNw6xEhx1TIiyl/G4RmcIpUgzLaScVUtjpHNEPDulTKpWa38oshpPQUvnNhrSNYRt7ff/w3et42+/Z23s/btfL5X2p9+v1fD5fj+fr/Wbue/2yMwzDEAAAAAAAKHX2ti4AAAAAAICKitANAAAAAICVELoBAAAAALASQjcAAAAAAFZC6AYAAAAAwEoI3QAAAAAAWAmhGwAAAAAAKyF0AwAAAABgJYRuAAAAAACshNANVFCbN2+WnZ2dNm/ebOtSUMp++OEHOTg46OjRo7YuxbRu3Tq5urrq7Nmzti4FAACgTCF0A+XcokWLtGzZMluXUSIrVqzQ/PnzbV2GJOnvf/+7+vbtKx8fH9nZ2WnmzJnF6p+RkaEpU6bIz89Pzs7OCgoKUmxsbJ5tt2/fri5duqh69ery9fXVM888o4sXLxZ5Wy+99JIee+wxNWzYsFg1WlOvXr3UpEkTRUdH27oUAACAMoXQDZRz+YXurl276vLly+ratevtL6qIylLonjZtmnbu3Kn27duXqP+IESM0d+5cDR48WG+++aaqVKmiBx54QN99951Fu71796pHjx66dOmS5s6dqyeffFLvvPOOBg4cWKTt7N27V+vXr9eYMWNKVKc1PfXUU/rnP/+pCxcu2LoUAACAMqOqrQsASkN6erpcXFxsXUaZYm9vLycnJ1uXUW4cPnxYjRo10rlz51S7du1i9f3hhx+0cuVKvfbaa3ruueckScOGDVOrVq00efJkbd++3Wz74osvqmbNmtq8ebPc3NwkSY0aNdKoUaP07bffqmfPngVua+nSpWrQoIE6d+5czBlaX1hYmMaPH6/Vq1friSeesHU5AAAAZQJHulHmnDx5UuHh4fLz85Ojo6P8/f01duxYZWZmSpKWLVsmOzs7bdmyRU8//bS8vb1Vr149s/+iRYvUsmVLOTo6ys/PT+PGjVNKSorFNg4dOqSwsDD5+vrKyclJ9erV06BBg5Sammq2iY2NVZcuXeTh4SFXV1c1a9ZML774YqH1F6VfRkaGZsyYoSZNmsjR0VH169fX5MmTlZGRkWu8Dz/8UJ06dVL16tVVs2ZNde3aVd9++62k62Ft//792rJli+zs7GRnZ6f77rtPUv7XdK9evVqBgYFydnZWrVq1NGTIEJ08edKizYgRI+Tq6qqTJ0+qX79+cnV1Ve3atfXcc8/p2rVrhe6Dzz77TL179zY/w8aNG+vll1+26Hvffffpyy+/1NGjR83aGzVqlO+YI0aMMNvd/CruqeB5KWjbhfn4449VpUoVjR492lzm5OSk8PBwxcXF6fjx45KktLQ0xcbGasiQIWbglq4HdFdXV3300UeFbmvNmjXq3r277OzsctX/4IMPavPmzerQoYOcnZ3VunVr8/P/5JNP1Lp1azk5OSkwMFB79uyx6J/zmR87dkwPPvigXF1dVbduXS1cuFCStG/fPnXv3l0uLi5q2LChVqxYkas2b29vtWnTRp999lnRdhwAAEAlwJFulCmnTp1Sp06dlJKSotGjRysgIEAnT57Uxx9/rEuXLsnBwcFs+/TTT6t27dqKjIxUenq6JGnmzJmaNWuWQkJCNHbsWCUmJmrx4sXauXOnvv/+e1WrVk2ZmZkKDQ1VRkaGxo8fL19fX508eVJr165VSkqK3N3dtX//fj344INq06aNoqKi5OjoqF9//VXff/99gfUXpV92drb69u2r7777TqNHj1bz5s21b98+zZs3T7/88ovWrFljtp01a5Zmzpypu+++W1FRUXJwcFB8fLw2btyonj17av78+Ro/frxcXV310ksvSZJ8fHzyrW/ZsmUaOXKkOnbsqOjoaCUnJ+vNN9/U999/rz179sjDw8Nse+3aNYWGhiooKEivv/661q9frzfeeEONGzfW2LFjC9wPy5Ytk6urqyZNmiRXV1dt3LhRkZGRSktL02uvvSbp+nXJqampOnHihObNmydJcnV1zXfMp556SiEhIRbL1q1bp+XLl8vb29tcdu7cuQJry1GjRg05OjoWqW1h9uzZozvvvNMiSEtSp06dJF0/Jbx+/frat2+frl69qg4dOli0c3BwULt27XIF4ZudPHlSx44d01133ZXn+l9//VWPP/64nnrqKQ0ZMkSvv/66+vTpo5iYGL344ot6+umnJUnR0dF65JFHlJiYKHv7//3u9dq1a7r//vvVtWtXzZkzR8uXL1dERIRcXFz00ksvafDgwRowYIBiYmI0bNgwBQcHy9/f36KGwMBAi+8wAABApWcAZciwYcMMe3t7Y+fOnbnWZWdnG4ZhGEuXLjUkGV26dDGuXr1qrj9z5ozh4OBg9OzZ07h27Zq5/O233zYkGe+++65hGIaxZ88eQ5KxevXqfOuYN2+eIck4e/ZsseovSr8PPvjAsLe3N7Zt22axPCYmxpBkfP/994ZhGMahQ4cMe3t7o3///hbzMYz/7QvDMIyWLVsa3bp1y7WdTZs2GZKMTZs2GYZhGJmZmYa3t7fRqlUr4/Lly2a7tWvXGpKMyMhIc9nw4cMNSUZUVJTFmO3btzcCAwML3gmGYVy6dCnXsqeeesqoXr26ceXKFXNZ7969jYYNGxY6Xl4OHTpkuLu7G3/9618tvgeSivRaunRpnuOePXvWkGTMmDGjyLW0bNnS6N69e67l+/fvNyQZMTExhmEYxurVqw1JxtatW3O1HThwoOHr61vgdtavX29IMr744otc6xo2bGhIMrZv324u++abbwxJhrOzs3H06FFz+T//+U+L74Zh/O8zf+WVV8xlf/75p+Hs7GzY2dkZK1euNJf//PPP+e6jV155xZBkJCcnFzgXAACAyoLTy1FmZGdna82aNerTp0+uI4GScp1OO2rUKFWpUsV8v379emVmZmrChAkWR+9GjRolNzc3ffnll5Ikd3d3SdI333yjS5cu5VlLzhHfzz77TNnZ2UWeQ1H6rV69Ws2bN1dAQIDOnTtnvrp37y5J2rRpk6TrpxFnZ2crMjLSYj5S7n1RFLt27dKZM2f09NNPW1zr3bt3bwUEBJj750Y336zr3nvv1e+//17otpydnc3/v3Dhgs6dO6d7771Xly5d0s8//1zs2m+Wnp6u/v37q2bNmvrPf/5j8T2IjY0t0is0NPSW68hx+fLlPI+a5+zny5cvW/w3v7Y56/Pzxx9/SJJq1qyZ5/oWLVooODjYfB8UFCRJ6t69uxo0aJBreV6f5ZNPPmn+v4eHh5o1ayYXFxc98sgj5vJmzZrJw8Mjz/45tRX1jAMAAICKjtPLUWacPXtWaWlpatWqVZHa33xaa84zi5s1a2ax3MHBQXfccYe53t/fX5MmTdLcuXO1fPly3Xvvverbt6+GDBliBvJHH31U//73v/Xkk0/qhRdeUI8ePTRgwAA9/PDDuQLwjYrS79ChQzp48GC+N+s6c+aMJOm3336Tvb29WrRoUaT9UZj89o8kBQQE5LrLtpOTU64aa9asqT///LPQbe3fv1/Tpk3Txo0blZaWZrHuxuvmS2rUqFH67bfftH37dnl5eVmsu/kU9NvB2dk5z+vxr1y5Yq6/8b/5tb3xlxUFMQwjz+U3Bmvpf79gql+/fp7Lb/4s8/rM3d3dVa9evVy/6HF3d8/zu5BTW0l+MQQAAFAREbpRbhU1oOTljTfe0IgRI/TZZ5/p22+/1TPPPKPo6Gjt2LFD9erVk7Ozs7Zu3apNmzbpyy+/1Lp167Rq1Sp1795d3377rcWR1ZtrKqxfdna2Wrdurblz5+Y5xs0ByVbym2NhUlJS1K1bN7m5uSkqKkqNGzeWk5OTdu/erSlTphTrzIG8vPnmm/rPf/6jDz/8UO3atcu1PikpqUjjuLu739J36EZ16tTJdTM6STp9+rQkyc/Pz2x34/Kb2+a0y0/OLxjy+8VHfp9ZfstvDu+32v/G2mrVqpVnHwAAgMqG08tRZtSuXVtubm766aefStS/YcOGkqTExESL5ZmZmTp8+LC5Pkfr1q01bdo0bd26Vdu2bdPJkycVExNjrre3t1ePHj00d+5cHThwQH//+9+1ceNG8/Tv/BTWr3Hjxjp//rx69OihkJCQXK+cI9GNGzdWdna2Dhw4UOD2inpEMb/9k7Ps5v1TUps3b9Yff/yhZcuW6dlnn9WDDz6okJCQPE+JLu7R0G3btum5557ThAkTNHjw4Dzb1KlTp0ivVatWlWh+eWnXrp1++eWXXEf14+PjzfWS1KpVK1WtWlW7du2yaJeZmam9e/fm+UuEGwUEBEi6/nizsurw4cOqVatWsR+7BgAAUFERulFm2Nvbq1+/fvriiy9yhRIp/1Nqc4SEhMjBwUELFiywaLtkyRKlpqaqd+/ekq4/tunq1asWfVu3bi17e3vztN/z58/nGj8nEOV1anCOovR75JFHdPLkSf3rX//K1fby5cvmndj79esne3t7RUVF5To6fOP8XFxccj0SLS8dOnSQt7e3YmJiLObw9ddf6+DBg+b+uVU5R0VvrDEzM1OLFi3K1dbFxaXIp5ufPn1ajzzyiLp06WLeAT0v1r6m+9y5c/r5558t7gfw8MMP69q1a3rnnXfMZRkZGVq6dKmCgoLMsxfc3d0VEhKiDz/8UBcuXDDbfvDBB7p48aIGDhxY4Lbr1q2r+vXr5/nno6xISEiwuK4cAACgsuP0cpQpr7zyir799lt169bNfJzW6dOntXr1an333XcWj7S6We3atTV16lTNmjVLvXr1Ut++fZWYmKhFixapY8eOGjJkiCRp48aNioiI0MCBA3XnnXfq6tWr+uCDD1SlShWFhYVJkqKiorR161b17t1bDRs21JkzZ7Ro0SLVq1dPXbp0ybeGovQbOnSoPvroI40ZM0abNm3SPffco2vXrunnn3/WRx99pG+++UYdOnRQkyZN9NJLL+nll1/WvffeqwEDBsjR0VE7d+6Un5+foqOjJV1/RNPixYs1e/ZsNWnSRN7e3uZN2W5UrVo1vfrqqxo5cqS6deumxx57zHxkWKNGjTRx4sSSfmwW7r77btWsWVPDhw/XM888Izs7O33wwQd5/tIkMDBQq1at0qRJk9SxY0e5urqqT58+eY77zDPP6OzZs5o8ebJWrlxpsa5NmzZq06aNpJJf0/3BBx/o6NGjZpjeunWrZs+eLen6Z5ZzJsDbb7+tWbNmadOmTeYz0YOCgjRw4EBNnTpVZ86cUZMmTfTee+/pyJEjWrJkicV2/v73v+vuu+82v+MnTpzQG2+8oZ49e6pXr16F1vnQQw/p008/lWEYZe666TNnzujHH3/UuHHjbF0KAABA2WGr26YD+Tl69KgxbNgwo3bt2oajo6Nxxx13GOPGjTMyMjIMw/jfI8PyeqyYYVx/RFhAQIBRrVo1w8fHxxg7dqzx559/mut///1344knnjAaN25sODk5GZ6ensZf/vIXY/369WabDRs2GA899JDh5+dnODg4GH5+fsZjjz1m/PLLLwXWXtR+mZmZxquvvmq0bNnScHR0NGrWrGkEBgYas2bNMlJTUy3avvvuu0b79u3Ndt26dTNiY2PN9UlJSUbv3r2NGjVqGJLMx4fd/MiwHKtWrTLH8/T0NAYPHmycOHHCos3w4cMNFxeXXPObMWOGUZS/Nr7//nujc+fOhrOzs+Hn52dMnjzZfHzVjfVcvHjRePzxxw0PDw9DUoGPD+vWrVu+j/8qzuO9SjL+jTXn7IOb9+vly5eN5557zvD19TUcHR2Njh07GuvWrctzW9u2bTPuvvtuw8nJyahdu7Yxbtw4Iy0trUh17t6925CU65FzDRs2NHr37p2rvSRj3LhxFssOHz5sSDJee+01c1l+n3m3bt2Mli1b5lqe1/YWL15sVK9evchzAQAAqAzsDKOQc3YBAGVKjx495Ofnpw8++MDWpVho37697rvvPs2bN8/WpQAAAJQZhG4AKGfi4+N177336tChQ6V2A7xbtW7dOj388MP6/fff5e3tbetyAAAAygxCNwAAAAAAVsLdywEAAAAAsBJCNwAAAAAAVkLoBgAAAADASgjdAAAAAABYSVVbF1CRZGdn69SpU6pRo4bs7OxsXQ4AoJwyDEMXLlyQn5+f7O35/TgAAOUZobsUnTp1SvXr17d1GQCACuL48eOqV6+ercsAAAC3gNBdimrUqCFJGvLaf+TgXN3G1RTu3PHf9Pmrk/ROlNSska2rAcqOxCPS6Eip75S5qlW/sa3LQSWUefmSPnz+MfPnCgAAKL8I3aUo55RyB+fqcnB2sXE1havm6CxJCmwh3dXSxsUAZYjr//+dWTVH53LxZxkVF5cqAQBQ/nGhGAAAAAAAVkLoBgAAAADASgjdAAAAAABYCaEbAAAAAAArIXQDAAAAAGAlhG4AAAAAAKyE0A0AAAAAgJUQugEAAAAAsBJCNwAAAAAAVkLoBgAAAADASgjdAAAAAABYCaEbAAAAAAArIXQDAAAAAGAlhG4AAAAAAKyE0A0AAAAAgJUQugEAAAAAsBJCNwAAAAAAVkLoBgAAAADASgjdAAAAAABYCaEbAAAAAAArIXQDAAAAAGAlhG4AAAAAAKyE0A0AAAAAgJUQugEAAAAAsBJCNwAAAAAAVkLoBgAAAADASgjdAAAAAABYCaEbAAAAAAArIXQDAAAAAGAlZS50L168WG3atJGbm5vc3NwUHBysr7/+2lx/5coVjRs3Tl5eXnJ1dVVYWJiSk5MLHNMwDEVGRqpOnTpydnZWSEiIDh06ZNHm/PnzGjx4sNzc3OTh4aHw8HBdvHjRKnMEAAAAAFQOZS5016tXT//4xz+UkJCgXbt2qXv37nrooYe0f/9+SdLEiRP1xRdfaPXq1dqyZYtOnTqlAQMGFDjmnDlztGDBAsXExCg+Pl4uLi4KDQ3VlStXzDaDBw/W/v37FRsbq7Vr12rr1q0aPXq0VecKAAAAAKjYqtq6gJv16dPH4v3f//53LV68WDt27FC9evW0ZMkSrVixQt27d5ckLV26VM2bN9eOHTvUuXPnXOMZhqH58+dr2rRpeuihhyRJ77//vnx8fLRmzRoNGjRIBw8e1Lp167Rz50516NBBkvTWW2/pgQce0Ouvvy4/Pz8rzxoAAAAAUBGVuSPdN7p27ZpWrlyp9PR0BQcHKyEhQVlZWQoJCTHbBAQEqEGDBoqLi8tzjMOHDyspKcmij7u7u4KCgsw+cXFx8vDwMAO3JIWEhMje3l7x8fH51peRkaG0tDSLFwAAAAAAOcpk6N63b59cXV3l6OioMWPG6NNPP1WLFi2UlJQkBwcHeXh4WLT38fFRUlJSnmPlLPfx8cm3T1JSkry9vS3WV61aVZ6envmOK0nR0dFyd3c3X/Xr1y/uVAEAAAAAFViZDN3NmjXT3r17FR8fr7Fjx2r48OE6cOCArcvKZerUqUpNTTVfx48ft3VJAAAAAIAypMxd0y1JDg4OatKkiSQpMDBQO3fu1JtvvqlHH31UmZmZSklJsTjanZycLF9f3zzHylmenJysOnXqWPRp166d2ebMmTMW/a5evarz58/nO64kOTo6ytHRsSRTBAAAAABUAmXySPfNsrOzlZGRocDAQFWrVk0bNmww1yUmJurYsWMKDg7Os6+/v798fX0t+qSlpSk+Pt7sExwcrJSUFCUkJJhtNm7cqOzsbAUFBVlpVgAAAACAiq7MHemeOnWq7r//fjVo0EAXLlzQihUrtHnzZn3zzTdyd3dXeHi4Jk2aJE9PT7m5uWn8+PEKDg62uHN5QECAoqOj1b9/f9nZ2WnChAmaPXu2mjZtKn9/f02fPl1+fn7q16+fJKl58+bq1auXRo0apZiYGGVlZSkiIkKDBg3izuUAAAAAgBIrc6H7zJkzGjZsmE6fPi13d3e1adNG33zzjf76179KkubNmyd7e3uFhYUpIyNDoaGhWrRokcUYiYmJSk1NNd9PnjxZ6enpGj16tFJSUtSlSxetW7dOTk5OZpvly5crIiJCPXr0MMdfsGDB7Zk0AAAAAKBCKnOhe8mSJQWud3Jy0sKFC7Vw4cJ82xiGYfHezs5OUVFRioqKyrePp6enVqxYUbxiAQAAAAAoQJkL3QCA8uvCH8m6cjHN1mWUe1kZl21dAgAAKCWEbgBAqbjwR7JWTx+hzIwsW5cCAABQZhC6AQCl4srFNGVmZOnDOVLzO2xdTfmWcEAaHWnrKgAAQGkgdAMASlXzO6S7Wtq6ivLt4iVbVwAAAEpLuXhONwAAAAAA5RGhGwAAAAAAKyF0AwAAAABgJYRuAAAAAACshNANAAAAAICVELoBAAAAALASQjcAAAAAAFZC6AYAAAAAwEoI3QAAAAAAWAmhGwAAAAAAKyF0AwAAAABgJYRuAAAAAACshNANAAAAAICVELoBAAAAALASQjcAAAAAAFZC6AYAAAAAwEoI3QAAAAAAWAmhGwAAAAAAKyF0AwAAAABgJYRuAAAAAACshNANAAAAAICVELoBAAAAALASQjcAAAAAAFZC6AYAAAAAwEoI3QAAAAAAWAmhGwAAAAAAKyF0AwAAAABgJYRuAAAAAACshNANAAAAAICVELoBAAAAALASQjcAAAAAAFZC6AYAAAAAwEoI3QAAAAAAWAmhGwAAAAAAKyF0AwAAAABgJVVtXQBsb/cBW1cAlC0Hf7d1BQAAAKgoCN2VWHV3T0nSqEgbFwKUQQ6O1eTk6mbrMgAAAFDOEborMRcPLw19Y5UupZ63dSlAmePk6qYaXj62LgMAAADlHKG7knPx8JKLh5etywAAAACACokbqQEAAAAAYCVlLnRHR0erY8eOqlGjhry9vdWvXz8lJiZatLly5YrGjRsnLy8vubq6KiwsTMnJyQWOaxiGIiMjVadOHTk7OyskJESHDh2yaHP+/HkNHjxYbm5u8vDwUHh4uC5evFjqcwQAAAAAVA5lLnRv2bJF48aN044dOxQbG6usrCz17NlT6enpZpuJEyfqiy++0OrVq7VlyxadOnVKAwYMKHDcOXPmaMGCBYqJiVF8fLxcXFwUGhqqK1eumG0GDx6s/fv3KzY2VmvXrtXWrVs1evRoq80VAAAAAFCx2RmGYdi6iIKcPXtW3t7e2rJli7p27arU1FTVrl1bK1as0MMPPyxJ+vnnn9W8eXPFxcWpc+fOucYwDEN+fn7629/+pueee06SlJqaKh8fHy1btkyDBg3SwYMH1aJFC+3cuVMdOnSQJK1bt04PPPCATpw4IT8/v0JrTUtLk7u7u554+zM5OLuU4l4AgLLv7NFD+r+osUr4WLqrpa2rKd+27pS6Dbv+s8rNjbvoAwBQnpW5I903S01NlSR5el5/vFVCQoKysrIUEhJitgkICFCDBg0UFxeX5xiHDx9WUlKSRR93d3cFBQWZfeLi4uTh4WEGbkkKCQmRvb294uPj8xw3IyNDaWlpFi8AAAAAAHKU6dCdnZ2tCRMm6J577lGrVq0kSUlJSXJwcJCHh4dFWx8fHyUlJeU5Ts5yHx/Lx//c2CcpKUne3t4W66tWrSpPT898x42Ojpa7u7v5ql+/frHnCAAAAACouMp06B43bpx++uknrVy50tal5Gnq1KlKTU01X8ePH7d1SQAAAACAMqTMPqc7IiLCvJlZvXr1zOW+vr7KzMxUSkqKxdHu5ORk+fr65jlWzvLk5GTVqVPHok+7du3MNmfOnLHod/XqVZ0/fz7fcR0dHeXo6FiS6QHIw7WrV/Xdh/OVcvqwrUvB/+fuU0/3DntOVapWs3UpAAAA5VKZC92GYWj8+PH69NNPtXnzZvn7+1usDwwMVLVq1bRhwwaFhYVJkhITE3Xs2DEFBwfnOaa/v798fX21YcMGM2SnpaUpPj5eY8eOlSQFBwcrJSVFCQkJCgwMlCRt3LhR2dnZCgoKstJsAeS4dvWqNr7zso7+d7see8BQ1TL3t1Plk3RW+npboto9MFQevvUK7wAAAIBcytw/a8eNG6cVK1bos88+U40aNczrqd3d3eXs7Cx3d3eFh4dr0qRJ8vT0lJubm8aPH6/g4GCLO5cHBAQoOjpa/fv3l52dnSZMmKDZs2eradOm8vf31/Tp0+Xn56d+/fpJkpo3b65evXpp1KhRiomJUVZWliIiIjRo0KAi3bkcQMndGLj/701DfbvbuiJI1++g/fU2W1cBAABQvpW50L148WJJ0n333WexfOnSpRoxYoQkad68ebK3t1dYWJgyMjIUGhqqRYsWWbRPTEw073wuSZMnT1Z6erpGjx6tlJQUdenSRevWrZOTk5PZZvny5YqIiFCPHj3M8RcsWGCdiQKQROAGAABAxVbmQndRHhvu5OSkhQsXauHChUUex87OTlFRUYqKisq3j6enp1asWFH0YgHcEgI3AAAAKroyffdyABUXgRsAAACVAaEbwG1H4AYAAEBlQegGcFsRuAEAAFCZELoB3DYEbgAAAFQ2hG4AtwWBGwAAAJURoRuA1RG4AQAAUFkRugFYFYEbAAAAlRmhG4DVELgBAABQ2RG6AVgFgRsAAAAgdAOwAgI3AAAAcB2hG0CpInADAAAA/0PoBlBqCNwAABTP5s2bZWdnp82bN9u6FFjBDz/8IAcHBx09etTWpZjWrVsnV1dXnT171talVBqEbgClgsANAED+Fi1apGXLltm6jBJZsWKF5s+fb+syLCxZskTNmzeXk5OTmjZtqrfeeqvIfTMyMjRlyhT5+fnJ2dlZQUFBio2NzbPt9u3b1aVLF1WvXl2+vr565plndPHixSJv66WXXtJjjz2mhg0bFrmPtfXq1UtNmjRRdHS0rUupNAjdAG4ZgRsAgILlF7q7du2qy5cvq2vXrre/qCIqa6H7n//8p5588km1bNlSb731loKDg/XMM8/o1VdfLVL/ESNGaO7cuRo8eLDefPNNValSRQ888IC+++47i3Z79+5Vjx49dOnSJc2dO1dPPvmk3nnnHQ0cOLBI29m7d6/Wr1+vMWPGFHuO1vbUU0/pn//8py5cuGDrUiqFqrYuAED5RuAGABRVenq6XFxcbF1GmWJvby8nJydbl1FuXL58WS+99JJ69+6tjz/+WJI0atQoZWdn6+WXX9bo0aNVs2bNfPv/8MMPWrlypV577TU999xzkqRhw4apVatWmjx5srZv3262ffHFF1WzZk1t3rxZbm5ukqRGjRpp1KhR+vbbb9WzZ88Ca126dKkaNGigzp073+q0S11YWJjGjx+v1atX64knnrB1ORUeR7oBlBiBGwAqr5MnTyo8PFx+fn5ydHSUv7+/xo4dq8zMTEnSsmXLZGdnpy1btujpp5+Wt7e36tWrZ/ZftGiRWrZsKUdHR/n5+WncuHFKSUmx2MahQ4cUFhYmX19fOTk5qV69eho0aJBSU1PNNrGxserSpYs8PDzk6uqqZs2a6cUXXyy0/qL0y8jI0IwZM9SkSRM5Ojqqfv36mjx5sjIyMnKN9+GHH6pTp06qXr26atasqa5du+rbb7+VdD2o7d+/X1u2bJGdnZ3s7Ox03333Scr/mu7Vq1crMDBQzs7OqlWrloYMGaKTJ09atBkxYoRcXV118uRJ9evXT66urqpdu7aee+45Xbt2rdB98Nlnn6l3797mZ9i4cWO9/PLLFn3vu+8+ffnllzp69KhZe6NGjfIds1u3bmrbtm2e65o1a6bQ0NBC6yrIpk2b9Mcff+jpp5+2WD5u3Dilp6fryy+/LLD/xx9/rCpVqmj06NHmMicnJ4WHhysuLk7Hjx+XJKWlpSk2NlZDhgwxA7d0PaC7urrqo48+KrTWNWvWqHv37rKzs7NY3qhRIz344IPavHmzOnToIGdnZ7Vu3dr8DnzyySdq3bq1nJycFBgYqD179lj0z/ncjx07pgcffFCurq6qW7euFi5cKEnat2+funfvLhcXFzVs2FArVqzIVZu3t7fatGmjzz77rNB54NZxpBtAiRC4AaDyOnXqlDp16qSUlBSNHj1aAQEBOnnypD7++GNdunRJDg4OZtunn35atWvXVmRkpNLT0yVJM2fO1KxZsxQSEqKxY8cqMTFRixcv1s6dO/X999+rWrVqyszMVGhoqDIyMjR+/Hj5+vrq5MmTWrt2rVJSUuTu7q79+/frwQcfVJs2bRQVFSVHR0f9+uuv+v777wusvyj9srOz1bdvX3333XcaPXq0mjdvrn379mnevHn65ZdftGbNGrPtrFmzNHPmTN19992KioqSg4OD4uPjtXHjRvXs2VPz58/X+PHj5erqqpdeekmS5OPjk299y5Yt08iRI9WxY0dFR0crOTlZb775pr7//nvt2bNHHh4eZttr164pNDRUQUFBev3117V+/Xq98cYbaty4scaOHVvgfli2bJlcXV01adIkubq6auPGjYqMjFRaWppee+01SdevSU5NTdWJEyc0b948SZKrq2u+Yw4dOlSjRo3STz/9pFatWpnLd+7cqV9++UXTpk0zl/35559F+uVA9erVVb16dUkyA2iHDh0s2gQGBsre3l579uzRkCFD8h1rz549uvPOOy2CtCR16tRJ0vVTwuvXr699+/bp6tWrubbj4OCgdu3a5QrCNzt58qSOHTumu+66K8/1v/76qx5//HE99dRTGjJkiF5//XX16dNHMTExevHFF81fKkRHR+uRRx5RYmKi7O3/d7z02rVruv/++9W1a1fNmTNHy5cvV0REhFxcXPTSSy9p8ODBGjBggGJiYjRs2DAFBwfL398/1z678XsM6yF0Ayg2AjcAVG5Tp05VUlKS4uPjLUJJVFSUDMOwaOvp6akNGzaoSpUqkqSzZ88qOjpaPXv21Ndff20GiYCAAEVEROjDDz/UyJEjdeDAAR0+fFirV6/Www8/bI4XGRlp/n9sbKwyMzP19ddfq1atWkWuvyj9VqxYofXr12vLli3q0qWLubxVq1YaM2aMtm/frrvvvlu//vqroqKi1L9/f3388ccWwShnX/Tr10/Tpk0zj1gXJCsrS1OmTFGrVq20detW89TzLl266MEHH9S8efM0a9Yss/2VK1f06KOPavr06ZKkMWPG6K677tKSJUsKDd0rVqyQs7Oz+X7MmDEaM2aMFi1apNmzZ8vR0VF//etfVbduXf3555+F1i5JAwcO1Pjx4/Xhhx/qH//4h7n8ww8/lIuLiwYMGGAua9++fZHu6j1jxgzNnDlTknT69GlVqVJF3t7eFm0cHBzk5eWlU6dOFTjW6dOnVadOnVzLc5bl9D99+rTF8pvbbtu2rcDt/Pzzz5KUK+jmSExM1Pbt2xUcHCxJatGihUJDQzVq1Cj9/PPPatCggSSpZs2aeuqpp7R161bz7Ajp+uc+ZMgQTZ06VZL0+OOPy8/PT0888YT+85//6NFHH5Uk/fWvf1VAQIDee+89cx/muOOOO3Tu3DmdOXMm1/5E6eL0cgDFQuAGgMotOztba9asUZ8+fXIdBZSU61TaUaNGmYFbktavX6/MzExNmDDBIqCOGjVKbm5u5unB7u7ukqRvvvlGly5dyrOWnCO+n332mbKzs4s8h6L0W716tZo3b66AgACdO3fOfHXvfv0H36ZNmyRdP4U4OztbkZGRFvORcu+Loti1a5fOnDmjp59+2uJa7969eysgICDP06dvvlHXvffeq99//73Qbd0YuC9cuKBz587p3nvv1aVLl8zQWFzu7u566KGH9J///Mf8pcO1a9e0atUq9evXz+Ka/uXLlys2NrbQ17Bhw8w+ly9ftjiT4kZOTk66fPlygfVdvnxZjo6OefbNWX/jf/NrW9h2/vjjD0nK9/ryFi1amIFbkoKCgiRJ3bt3NwP3jcvz+jyffPJJ8/89PDzUrFkzubi46JFHHjGXN2vWTB4eHnn2z6nt3LlzBc4Ft44j3QCKjMANADh79qzS0tIsTh0uyM1H+nKObDZr1sxiuYODg+644w5zvb+/vyZNmqS5c+dq+fLluvfee9W3b18NGTLEDOSPPvqo/v3vf+vJJ5/UCy+8oB49emjAgAF6+OGHcwXgGxWl36FDh3Tw4EHVrl07zzHOnDkjSfrtt99kb2+vFi1aFGl/FCa//SNdPxvg5jtsOzk55aqxZs2a+vPPPwvd1v79+zVt2jRt3LhRaWlpFutuvG6+uIYNG6ZVq1Zp27Zt6tq1q9avX6/k5GQNHTrUot0999xT7LGdnZ3N+wbc7MqVKxa/SMivf17X5F+5csVcf+N/82tb2HZy3HzmR44bg7X0v18y1a9fP8/lN3+eeX3u7u7uqlevXq5f9ri7u+f5fciprSS/HELxELoBFAmBGwBQEkUNJ3l54403NGLECH322Wf69ttv9cwzzyg6Olo7duxQvXr15OzsrK1bt2rTpk368ssvtW7dOq1atUrdu3fXt99+a3GE/eaaCuuXnZ2t1q1ba+7cuXmOcXM4spX85liYlJQUdevWTW5uboqKilLjxo3l5OSk3bt3a8qUKcU6c+BmoaGh8vHx0YcffqiuXbvqww8/lK+vr0JCQizanT17tkjXdLu6uprXkdepU0fXrl3LdUp0Zmam/vjjD/n5+RU4Vp06dXLdkE763+nkOf1zTivPWX5z28K24+XlJSl3WM6R3+eW3/Kbw/ut9r+xtuJcmoGS4fRyAIUicAMActSuXVtubm766aefStS/YcOGkq5f03qjzMxMHT582Fyfo3Xr1po2bZq2bt2qbdu26eTJk4qJiTHX29vbq0ePHpo7d64OHDigv//979q4caN5+nd+CuvXuHFjnT9/Xj169FBISEiuV86R6MaNGys7O1sHDhwocHtFPZqY3/7JWXbz/impzZs3648//tCyZcv07LPP6sEHH1RISEiep0MX90holSpV9Pjjj+vjjz/Wn3/+qTVr1uixxx7LFQg7duyoOnXqFPp6/fXXzT7t2rWTdP00/Bvt2rVL2dnZ5vr8tGvXTr/88kuuI/vx8fEW47dq1UpVq1bNtZ3MzEzt3bu30O0EBARIkg4fPlxgO1s6fPiwatWqle/ZHCg9hG4ABSJwAwBuZG9vr379+umLL77IFUik/E+nzRESEiIHBwctWLDAou2SJUuUmpqq3r17S7r+yKarV69a9G3durXs7e3NU37Pnz+fa/ycMJTXacE5itLvkUce0cmTJ/Wvf/0rV9vLly+bd2Lv16+f7O3tFRUVlevo8I3zc3FxyfVItLx06NBB3t7eiomJsZjD119/rYMHD5r751blBOAba8zMzNSiRYtytXVxcSn26eZDhw7Vn3/+qaeeekoXL17M8yZsJbmmu3v37vL09NTixYstxlq8eLGqV69usX/OnTunn3/+2eKeAA8//LCuXbumd955x1yWkZGhpUuXKigoyDyDwd3dXSEhIfrwww914cIFs+0HH3ygixcvauDAgQXOv27duqpfv36ef0bKioSEBIvrymE9nF4OIF8EbgBAXl555RV9++236tatm/k4rdOnT2v16tX67rvvLB5pdbPatWtr6tSpmjVrlnr16qW+ffsqMTFRixYtUseOHc1wtnHjRkVERGjgwIG68847dfXqVX3wwQeqUqWKwsLCJF2/W/rWrVvVu3dvNWzYUGfOnNGiRYtUr149izuO36wo/YYOHaqPPvpIY8aM0aZNm3TPPffo2rVr+vnnn/XRRx/pm2++UYcOHdSkSRO99NJLevnll3XvvfdqwIABcnR01M6dO+Xn56fo6GhJ1x/PtHjxYs2ePVtNmjSRt7e3eVO2G1WrVk2vvvqqRo4cqW7duumxxx4zHxnWqFEjTZw4saQfm4W7775bNWvW1PDhw/XMM8/Izs5OH3zwQZ6/NAkMDNSqVas0adIkdezYUa6ururTp0+B47dv316tWrUyb0iX16OzSnpN98svv6xx48Zp4MCBCg0N1bZt2/Thhx/q73//uzw9Pc22b7/9tmbNmqVNmzaZd/4OCgrSwIEDNXXqVJ05c0ZNmjTRe++9pyNHjmjJkiUW2/r73/+uu+++2/yenzhxQm+88YZ69uypXr16FVrrQw89pE8//VSGYZS566bPnDmjH3/8UePGjbN1KZUCoRtAngjcAID81K1bV/Hx8Zo+fbqWL1+utLQ01a1bV/fff7/5POWCzJw5U7Vr19bbb7+tiRMnytPTU6NHj9Yrr7yiatWqSZLatm2r0NBQffHFFzp58qSqV6+utm3b6uuvv1bnzp0lSX379tWRI0f07rvv6ty5c6pVq5a6deumWbNmmTegyktR+tnb22vNmjWaN2+e3n//fX366aeqXr267rjjDj377LO68847zfGioqLk7++vt956Sy+99JKqV6+uNm3aWNw4LDIyUkePHtWcOXN04cIFdevWLc/QLUkjRoxQ9erV9Y9//ENTpkyRi4uL+vfvr1dffbXAX2gUh5eXl9auXau//e1vmjZtmmrWrKkhQ4aoR48eCg0NtWj79NNPa+/evVq6dKnmzZunhg0bFhq6pes3VJs8eXKuG6jdqqefflrVqlXTG2+8oc8//1z169fXvHnz9Oyzzxap//vvv6/p06frgw8+0J9//qk2bdpo7dq16tq1q0W7u+66S+vXr9eUKVM0ceJE1ahRQ+Hh4eYvUgrzxBNP6O2339b3339f4C+BbOGTTz6Ro6OjxZ3OYT12RmHnAKHI0tLS5O7urife/kwOzi6FdwDKKAI3JGnrTqnbMGnQ35fJw7deoe3PHj2k/4saq4SPpbta3oYCK7CcfZ+amio3NzdblwMAJfLmm29q4sSJOnLkSK67dVcWPXr0kJ+fnz744ANbl2Khffv2uu+++zRv3jxbl1IpcE03AAsEbgAAcKsMw9CSJUvUrVu3Shu4peuXYqxatcp8FFxZsG7dOh06dEhTp061dSmVBqeXAzARuAEAwK1IT0/X559/rk2bNmnfvn367LPPbF2STQUFBeX7XHFb6dWrly5evGjrMioVQjcASQRuAABw686ePavHH39cHh4eevHFF9W3b19blwTYHKEbAIEbAACUikaNGhX62DigsuGabqCSI3ADAAAA1kPoBioxAjcAAABgXZxeDlRSBG4AlVV2drZOnTqlGjVqyM7OztblAADKKcMwdOHCBfn5+cnePv/j2YRuoBIicAOozE6dOqX69evbugwAQAVx/Phx1atXL9/1hG6gkiFwA6jsatSoIen6P5Lc3NxsXA0AoLxKS0tT/fr1zZ8r+SF0A5UIgRsAZJ5S7ubmRugGANyywi5V4kZqQCVB4AYAAABuP0I3UAkQuAEAAADbIHQDFRyBGwAAALAdQjdQgRG4AQAAANviRmpABUXgBoCC7d27V66urlYZu1atWmrQoIFVxs7PsWPHdO7cudu6TQAojor2d+PFixeL1I7QDVRABG4AKFy3bt2sOv7Ro0dv2z8ujx07pubNm+nSpSu3ZXsAUFKV8e9GQjdQwRC4AaBsmPbxDrl4HLot27rwR7KuXrt2W7YFALeiMv7dSOgGKhACNwAUXd8pc1XN0dkqY1d395SLh5dVxs5LDS8fDXx5ma5cTLtt2wSA4qpofzdmZVzW569OKrRdmQvdW7du1WuvvaaEhASdPn1an376qfr162euNwxDM2bM0L/+9S+lpKTonnvu0eLFi9W0adMCx124cKFee+01JSUlqW3btnrrrbfUqVMnc/2VK1f0t7/9TStXrlRGRoZCQ0O1aNEi+fj4WGuqQKkicANA8dSq31gOzi62LqPU1PDyUQ0v/t0CADey5t+NmZfTi9SuzN29PD09XW3bttXChQvzXD9nzhwtWLBAMTExio+Pl4uLi0JDQ3XlSv7n6a9atUqTJk3SjBkztHv3brVt21ahoaE6c+aM2WbixIn64osvtHr1am3ZskWnTp3SgAEDSn1+gDUQuAEAAICyqcyF7vvvv1+zZ89W//79c60zDEPz58/XtGnT9NBDD6lNmzZ6//33derUKa1ZsybfMefOnatRo0Zp5MiRatGihWJiYlS9enW9++67kqTU1FQtWbJEc+fOVffu3RUYGKilS5dq+/bt2rFjh7WmCpQKAjeAsm7hwoVq1KiRnJycFBQUpB9++KHA9qtXr1ZAQICcnJzUunVrffXVVxbrDcNQZGSk6tSpI2dnZ4WEhOjQodtzfSAAAMVV5kJ3QQ4fPqykpCSFhISYy9zd3RUUFKS4uLg8+2RmZiohIcGij729vUJCQsw+CQkJysrKsmgTEBCgBg0a5DuuJGVkZCgtLc3iBdxOBG4AZV1Rzja70fbt2/XYY48pPDxce/bsUb9+/dSvXz/99NNPZpuSnPUGAICtlKvQnZSUJEm5rrP28fEx193s3LlzunbtWoF9kpKS5ODgIA8PjyKPK0nR0dFyd3c3X/Xr1y/ulIASI3ADKA8KO9vsZm+++aZ69eql559/Xs2bN9fLL7+su+66S2+//bakkp/1BgCArZS5G6mVJ1OnTtWkSf+7W11aWhrBG7cFgRtAeZBzttnUqVPNZTefbXazuLg4i5+tkhQaGmoG6sLOehs0aFCuMTMyMpSRkWG+58w0VAZnjx7SuaNFv+ziysU0ZWVcLrRdNUdnObm6FXncWg2bqnbDgm94jNJVlM++qJ+3VLTPnM+5YOUqdPv6+kqSkpOTVadOHXN5cnKy2rVrl2efWrVqqUqVKkpOTrZYnpycbI7n6+urzMxMpaSkWBztvrFNXhwdHeXo6FjC2QAlQ+AGUF4UdLbZzz//nGefpKSkQs9Oy1mWX5ubRUdHa9asWbmWzxt6n9zcih4egPLEzi6k8Ea3iWEYti6hUrHVZ18ZP+e0tDS9G1F4u3IVuv39/eXr66sNGzaYITstLU3x8fEaO3Zsnn0cHBwUGBioDRs2mI8ey87O1oYNGxQRcX0PBQYGqlq1atqwYYPCwsIkSYmJiTp27JiCg4OtPi+gqAjcAFB8nJmGyighIUG7d+8uUtujR49q9uzZCg+T6tTOv93ps9KS/5OmTZumhg0bFmnsu+66q0jtUHoK++yL+nlLRf/M+ZwLVuZC98WLF/Xrr7+a7w8fPqy9e/fK09NTDRo00IQJEzR79mw1bdpU/v7+mj59uvz8/Cye5d2jRw/179/fDNWTJk3S8OHD1aFDB3Xq1Enz589Xenq6Ro4cKen6aWnh4eGaNGmSPD095ebmpvHjxys4OFidO3e+rfMH8kPgBlDeFOVss5v5+voWenZazrKinvXGmWmojO66664iB6Hdu3dr9uzZevox6a6WBbTbfz2A9e/fn5BVhhX22Rf185b4zEtLmbuR2q5du9S+fXu1b99e0vXA3L59e0VGRkqSJk+erPHjx2v06NHq2LGjLl68qHXr1snJyckc47ffftO5c+fM948++qhef/11RUZGql27dtq7d6/WrVtncWravHnz9OCDDyosLExdu3aVr6+vPvnkk9s0a6BgBG4A5dGNZ5vlyDnbLL8zyYKDgy3aS1JsbKzZ/saz3nLknPXG2WkAgLKozB3pvu+++wq8HsDOzk5RUVGKiorKt82RI0dyLYuIiDCPfOfFyclJCxcu1MKFC4tVL2BtBG4A5VlhZ5sNGzZMdevWVXR0tCTp2WefVbdu3fTGG2+od+/eWrlypXbt2qV33nlH0vV/BxTlrDcAAMqKMhe6AfwPgRtAeffoo4/q7NmzioyMVFJSktq1a2dxttmxY8dkb/+/E+/uvvturVixQtOmTdOLL76opk2bas2aNWrVqpXZZvLkyUpPT9fo0aOVkpKiLl265DrrDQCAsoLQDZRRBG4AFUVBZ5tt3rw517KBAwdq4MCB+Y5XlLPeAAAoK8rcNd0ACNwAAABARUHoBsoYAjcAAABQcRC6gTKEwA0AAABULIRuoIwgcAMAAAAVDzdSs4Jzx39TNUdnW5dR7jm5uqmGl0/hDSsAAjcAAABQMRG6reDzVyfZuoQKwcGxmga+vKzCB28CNwAAAFBxEbqt4J0oKbCFraso3w7+Lg2ZnKUrF9MqdOgmcAMAAAAVG6HbCpo1ku5qaesqUNYRuAEAAICKjxupATZA4AYAAAAqB0I3cJsRuAEAAIDKg9AN3EYEbgAAAKByIXQDtwmBGwAAAKh8CN3AbUDgBgAAAConQjdgZQRuAAAAoPIidANWROAGAAAAKjdCN2AlBG4AAAAAhG7ACgjcAAAAACRCN1DqCNwAAAAAchC6gVJE4AYAAABwI0I3UEoI3AAAAABuRugGSgGBGwAAAEBeCN3ALSJwAwAAAMgPoRu4BQRuAAAAAAUhdAMlROAGAAAAUJiqJel07NgxHT16VJcuXVLt2rXVsmVLOTo6lnZtQJlF4AZQHmRkZCg+Pt7iZ3b79u3l7+9v69IAAKg0ihy6jxw5osWLF2vlypU6ceKEDMMw1zk4OOjee+/V6NGjFRYWJnt7DqCj4iJwAyjrvv/+e7355pv64osvlJWVJXd3dzk7O+v8+fPKyMjQHXfcodGjR2vMmDGqUaOGrcsFAKBCK1I6fuaZZ9S2bVsdPnxYs2fP1oEDB5SamqrMzEwlJSXpq6++UpcuXRQZGak2bdpo586d1q4bsAkCN4Cyrm/fvnr00UfVqFEjffvtt7pw4YL++OMPnThxQpcuXdKhQ4c0bdo0bdiwQXfeeadiY2NtXTIAABVakY50u7i46Pfff5eXl1eudd7e3urevbu6d++uGTNmaN26dTp+/Lg6duxY6sUCtkTgBlAe9O7dW//3f/+natWq5bn+jjvu0B133KHhw4frwIEDOn369G2uEACAyqVIoTs6OrrIA/bq1avExQBlFYEbQHnx1FNPFbltixYt1KJFCytWAwAASnQjNaAyIXADqAguXryo7Oxsi2Vubm42qgYAgMqj2Hc8++OPPzRu3Di1aNFCtWrVkqenp8ULqEgI3ADKs8OHD6t3795ycXGRu7u7atasqZo1a8rDw0M1a9a0+vZHjBghOzs7i1dRzohbuHChGjVqJCcnJwUFBemHH36wWH/lyhWNGzdOXl5ecnV1VVhYmJKTk601DQAAbkmxj3QPHTpUv/76q8LDw+Xj4yM7Oztr1AXYHIEbQHk3ZMgQGYahd99912Y/s3v16qWlS5ea7wt7xOiqVas0adIkxcTEKCgoSPPnz1doaKgSExPl7e0tSZo4caK+/PJLrV69Wu7u7oqIiNCAAQP0/fffW3UuAACURLFD97Zt2/Tdd9+pbdu21qgHKBMI3AAqgv/+979KSEhQs2bNbFaDo6OjfH19i9x+7ty5GjVqlEaOHClJiomJ0Zdffql3331XL7zwglJTU7VkyRKtWLFC3btf/8t56dKlat68uXbs2KHOnTtbZR4AAJRUsU8vDwgI0OXLl61RC1AmELgBVBQdO3bU8ePHbVrD5s2b5e3trWbNmmns2LH6448/8m2bmZmphIQEhYSEmMvs7e0VEhKiuLg4SVJCQoKysrIs2gQEBKhBgwZmm5tlZGQoLS3N4gUAwO1S7CPdixYt0gsvvKDIyEi1atUq1yNJuCkLyjMCN4CK5N///rfGjBmjkydP5vkzu02bNlbdfq9evTRgwAD5+/vrt99+04svvqj7779fcXFxqlKlSq72586d07Vr1+Tj42Ox3MfHRz///LMkKSkpSQ4ODvLw8MjVJikpKc86oqOjNWvWrNKZFAAAxVTs0O3h4aG0tDTzlK4chmHIzs5O165dK7XigNuJwA2gojl79qx+++0381RtSbKzs7PKz+zly5dbPK7s66+/1qBBg8z3rVu3Vps2bdS4cWNt3rxZPXr0KLVtF2bq1KmaNGmS+T4tLU3169e/bdsHAFRuxQ7dgwcPVrVq1bRixQpupIYKg8ANoCJ64okn1L59e/3nP/+x+s/svn37KigoyHxft27dXG3uuOMO1apVS7/++mueobtWrVqqUqVKrjuRJycnm9eF+/r6KjMzUykpKRZHu29sczNHR8dCb+AGAIC1FDt0//TTT9qzZ49Nb8oClCYCN4CK6ujRo/r888/VpEkTq2+rRo0aqlGjRoFtTpw4oT/++EN16tTJc72Dg4MCAwO1YcMG9evXT5KUnZ2tDRs2KCIiQpIUGBioatWqacOGDQoLC5MkJSYm6tixYwoODi69CQEAUEqKfSO1Dh062PymLEBpIXADeTMMac2G6/9vn8e1tygfunfvrv/+97822fbFixf1/PPPa8eOHTpy5Ig2bNighx56SE2aNFFoaKjZrkePHnr77bfN95MmTdK//vUvvffeezp48KDGjh2r9PR08xR5d3d3hYeHa9KkSdq0aZMSEhI0cuRIBQcHc+dyAECZVOwj3ePHj9ezzz6r559/Xq1bt77tN2UBSguBG8ibYUhT50rz3pOCHx0jt9p5H5VE2denTx9NnDhR+/bty/Nndt++fa227SpVqujHH3/Ue++9p5SUFPn5+alnz556+eWXLU71/u2333Tu3Dnz/aOPPqqzZ88qMjJSSUlJateundatW2dxc7V58+bJ3t5eYWFhysjIUGhoqBYtWmS1uQAAcCuKHbofffRRSdevE8thrZuyANZC4AbylhO4X/339cDdtufDti4Jt2DMmDGSpKioqFzrrP0z29nZWd98802h7Y4cOZJrWUREhHk6eV6cnJy0cOFCLVy48FZKBADgtih26D58+LA16gBuGwI3kDcCd8WTnZ1t6xIAAKj0ih26GzZsaI06gNuCwA3kjcANAABgHcUO3ZJ06tQpfffddzpz5kyu36I/88wzpVJYYRYuXKjXXntNSUlJatu2rd566y116tQp3/arV6/W9OnTdeTIETVt2lSvvvqqHnjgAXO9YRiaMWOG/vWvfyklJUX33HOPFi9erKZNm96O6eA2IHADeSNwV2w7d+7Upk2b8vyZPXfuXBtVBQBA5VHs0L1s2TI99dRTcnBwkJeXl8UzP+3s7G5L6F61apUmTZqkmJgYBQUFaf78+QoNDVViYqK8vb1ztd++fbsee+wxRUdH68EHH9SKFSvUr18/7d69W61atZIkzZkzRwsWLNB7770nf39/TZ8+XaGhoTpw4ICcnJysPidYF4EbyBuBu2J75ZVXNG3aNDVr1izXc7qt+cxuAADwP8UO3dOnT1dkZKSmTp0qe/tiP3GsVMydO1ejRo0yHx8SExOjL7/8Uu+++65eeOGFXO3ffPNN9erVS88//7wk6eWXX1ZsbKzefvttxcTEyDAMzZ8/X9OmTdNDDz0kSXr//ffl4+OjNWvWaNCgQbdvcih1BG4gbwTuiu/NN9/Uu+++qxEjRti6FAAAKq1ip+ZLly5p0KBBNgvcmZmZSkhIUEhIiLnM3t5eISEhiouLy7NPXFycRXtJCg0NNdsfPnxYSUlJFm3c3d0VFBSU75iSlJGRobS0NIsXyhYCN5A3AnflYG9vr3vuucfWZQAAUKkVOzmHh4dr9erV1qilSM6dO6dr165ZPK9Tknx8fJSUlJRnn6SkpALb5/y3OGNKUnR0tNzd3c1X/fr1iz0fWA+BG8gbgbvymDhxIo/VAgDAxop9ennOddHr1q1T69atVa1aNYv1lemmLFOnTtWkSZPM92lpaQTvMoLADeSNwF25PPfcc+rdu7caN26sFi1a5PqZ/cknn9ioMgAAKo8She5vvvlGzZo1k6TbflOWWrVqqUqVKkpOTrZYnpycLF9f3zz7+Pr6Ftg+57/JycmqU6eORZt27drlW4ujo6McHR1LMg1YEYEbyBuBu/J55plntGnTJv3lL3/JdfNTAABwexQ7dL/xxhs2vSmLg4ODAgMDtWHDBvXr10+SlJ2drQ0bNigiIiLPPsHBwdqwYYMmTJhgLouNjVVwcLAkyd/fX76+vtqwYYMZstPS0hQfH6+xY8daczooZQRuIG8E7srpvffe0//93/+pd+/eti4FAIBKq9ih29HR0eY3ZZk0aZKGDx+uDh06qFOnTpo/f77S09PNu5kPGzZMdevWVXR0tCTp2WefVbdu3fTGG2+od+/eWrlypXbt2qV33nlH0vUj9BMmTNDs2bPVtGlT85Fhfn5+ZrBH2UfgBvJG4K68PD091bhxY1uXAQBApVbsG6k9++yzeuutt6xRS5E9+uijev311xUZGal27dpp7969WrdunXkjtGPHjun06dNm+7vvvlsrVqzQO++8o7Zt2+rjjz/WmjVrzGd0S9LkyZM1fvx4jR49Wh07dtTFixe1bt06ntFdThC4gbwRuCu3mTNnasaMGbp06ZKtSwEAoNIq9pHuH374QRs3btTatWvVsmVLm92UJSIiIt/TyTdv3pxr2cCBAzVw4MB8x7Ozs1NUVJSioqJKq0TcJgRuIG8EbixYsEC//fabfHx81KhRo1w/s3fv3m2jygAAqDyKHbo9PDw0YMAAa9QClMiuNf8mcAM3IXBDEpdIAQBQBhQ7dC9dutQadQAl9t9vP9HQPgRuIAeBGzlmzJhh6xIAAKj0in1NN1DWZF/L1j3tbV0FUDYQuGEYhq1LAAAANyhS6O7Vq5d27NhRaLsLFy7o1Vdf1cKFC2+5MABA8RC4IUktW7bUypUrlZmZWWC7Q4cOaezYsfrHP/5xmyoDAKByKtLp5QMHDlRYWJjc3d3Vp08fdejQQX5+fnJyctKff/6pAwcO6LvvvtNXX32l3r1767XXXrN23QCAGxC4keOtt97SlClT9PTTT+uvf/1rvj+z9+/fr4iICI0dO9bWJQMAUKEVKXSHh4dryJAhWr16tVatWqV33nlHqampkq7f9btFixYKDQ3Vzp071bx5c6sWDACwRODGjXr06KFdu3bpu+++06pVq7R8+XIdPXpUly9fVq1atdS+fXsNGzZMgwcPVs2aNW1dLgAAFV6Rb6Tm6OioIUOGaMiQIZKk1NRUXb58WV5eXrkeQQIAuD0I3MhPly5d1KVLF1uXAQBApVfsu5fncHd3l7u7e2nWAgAoBgI3AABA2cfdywGgHCJwAwAAlA+EbgAoZwjcAAAA5QehGwDKEQI3AABA+ULoBoBygsANAABQ/hQ7dA8fPlxbt261Ri0AgHwQuFES3bt316xZs3It//PPP9W9e3cbVAQAQOVT7NCdmpqqkJAQNW3aVK+88opOnjxpjboAAP8fgRsltXnzZr399tvq16+f0tPTzeWZmZnasmWLDSsDAKDyKHboXrNmjU6ePKmxY8dq1apVatSoke6//359/PHHysrKskaNAFBpEbhxq9avX6+kpCR17txZR44csXU5AABUOiW6prt27dqaNGmS/vvf/yo+Pl5NmjTR0KFD5efnp4kTJ+rQoUOlXScAVDoEbpSGOnXqaMuWLWrdurU6duyozZs327okAAAqlVu6kdrp06cVGxur2NhYValSRQ888ID27dunFi1aaN68eaVVIwBUOgRulAY7OztJkqOjo1asWKFnn31WvXr10qJFi2xcGQAAlUfV4nbIysrS559/rqVLl+rbb79VmzZtNGHCBD3++ONyc3OTJH366ad64oknNHHixFIvGAAqOgI3SothGBbvp02bpubNm2v48OE2qggAgMqn2Ee669Spo1GjRqlhw4b64YcftGvXLo0ZM8YM3JL0l7/8RR4eHqVZJwBUCgRulKbDhw+rdu3aFsvCwsIUHx+vd99995bG/uSTT9SzZ095eXnJzs5Oe/fuzdXmypUrGjdunLy8vOTq6qqwsDAlJycXOK5hGIqMjFSdOnXk7OyskJCQXJetnT9/XoMHD5abm5s8PDwUHh6uixcv3tJ8AACwlmKH7nnz5unUqVNauHCh2rVrl2cbDw8PHT58+FZrA4BKhcCN0tawYUPzFPMbtWzZ8paPdqenp6tLly569dVX820zceJEffHFF1q9erW2bNmiU6dOacCAAQWOO2fOHC1YsEAxMTGKj4+Xi4uLQkNDdeXKFbPN4MGDtX//fsXGxmrt2rXaunWrRo8efUvzAQDAWop9evnQoUOtUQcAVGoEbpQ3Of8eyO+O6KmpqVqyZIlWrFhhPhN86dKlat68uXbs2KHOnTvn6mMYhubPn69p06bpoYcekiS9//778vHx0Zo1azRo0CAdPHhQ69at086dO9WhQwdJ0ltvvaUHHnhAr7/+uvz8/KwwWwAASu6WbqQGALh1BG5URAkJCcrKylJISIi5LCAgQA0aNFBcXFyefQ4fPqykpCSLPu7u7goKCjL7xMXFycPDwwzckhQSEiJ7e3vFx8fnOW5GRobS0tIsXgAA3C6EbgCwIQI3KqqkpCQ5ODjkuseLj4+PkpKS8u2T0ya/PklJSfL29rZYX7VqVXl6euY7bnR0tNzd3c1X/fr1SzIlAABKhNANADZC4EZ5sXz5crm6upqvbdu22bqkYpk6dapSU1PN1/Hjx21dEgCgEin2Nd0AgFtH4EZ50rdvXwUFBZnv69atW2gfX19fZWZmKiUlxeJod3Jysnx9ffPtk9OmTp06Fn1ybt7q6+urM2fOWPS7evWqzp8/n++4jo6OcnR0LLRmAACsgSPdAHCbEbhR3tSoUUNNmjQxX87OzoX2CQwMVLVq1bRhwwZzWWJioo4dO6bg4OA8+/j7+8vX19eiT1pamuLj480+wcHBSklJUUJCgtlm48aNys7OtvjFAAAAZQVHugHgNiJwo6I4f/68jh07plOnTkm6Hqil60eifX195e7urvDwcE2aNEmenp5yc3PT+PHjFRwcbHHn8oCAAEVHR6t///6ys7PThAkTNHv2bDVt2lT+/v6aPn26/Pz81K9fP0lS8+bN1atXL40aNUoxMTHKyspSRESEBg0axJ3LAQBlEqEbAG4TAjcqks8//1wjR4403w8aNEiSNGPGDM2cOVOSNG/ePNnb2yssLEwZGRkKDQ3VokWLLMZJTExUamqq+X7y5MlKT0/X6NGjlZKSoi5dumjdunVycnIy2yxfvlwRERHq0aOHOf6CBQusOFsAAEqO0A0AtwGBGxXNiBEjNGLEiALbODk5aeHChVq4cGG+bQzDsHhvZ2enqKgoRUVF5dvH09NTK1asKFa9AADYCtd0A4CVEbgBAAAqL0I3AFgRgRsAAKByI3QDgJUQuAEAAEDoBgArIHADAABA4kZqAFDqKnvg3n3A1hWUf4lHbF0BAAAoLYRuAChFlTlwV3f3lCSNirRxIQAAAGUIoRsASkllDtyS5OLhpaFvrNKl1PO2LqXcy8q4rM9fnWTrMgAAQCkgdANAKajsgTuHi4eXXDy8bF1GuZd5Od3WJQAAgFLCjdQA4BYRuAEAAJAfQjcA3AICNwAAAApC6AaAEiJwAwAAoDCEbgAoAQI3AAAAioLQDQDFROAGAABAURG6AaAYCNwAAAAoDkI3ABQRgRsAAADFVaZC9yeffKKePXvKy8tLdnZ22rt3b642V65c0bhx4+Tl5SVXV1eFhYUpOTm5wHENw1BkZKTq1KkjZ2dnhYSE6NChQxZtzp8/r8GDB8vNzU0eHh4KDw/XxYsXS3N6AMoxAjcAAABKokyF7vT0dHXp0kWvvvpqvm0mTpyoL774QqtXr9aWLVt06tQpDRgwoMBx58yZowULFigmJkbx8fFycXFRaGiorly5YrYZPHiw9u/fr9jYWK1du1Zbt27V6NGjS21uAMovAjcAAABKqqqtC7jR0KFDJUlHjhzJc31qaqqWLFmiFStWqHv37pKkpUuXqnnz5tqxY4c6d+6cq49hGJo/f76mTZumhx56SJL0/vvvy8fHR2vWrNGgQYN08OBBrVu3Tjt37lSHDh0kSW+99ZYeeOABvf766/Lz87PCbAGUBwRuAAAA3IoydaS7MAkJCcrKylJISIi5LCAgQA0aNFBcXFyefQ4fPqykpCSLPu7u7goKCjL7xMXFycPDwwzckhQSEiJ7e3vFx8fnW09GRobS0tIsXgAqDgI3AAAAblW5Ct1JSUlycHCQh4eHxXIfHx8lJSXl2yenTX59kpKS5O3tbbG+atWq8vT0zHdcSYqOjpa7u7v5ql+/fnGnBKCMInADAACgNNgsdC9fvlyurq7ma9u2bbYqpcSmTp2q1NRU83X8+HFblwSgFBC4AQAAUFpsdk133759FRQUZL6vW7duoX18fX2VmZmplJQUi6PdycnJ8vX1zbdPTps6depY9GnXrp3Z5syZMxb9rl69qvPnz+c7riQ5OjrK0dGx0LoBlB8EbgAAAJQmmx3prlGjhpo0aWK+nJ2dC+0TGBioatWqacOGDeayxMREHTt2TMHBwXn28ff3l6+vr0WftLQ0xcfHm32Cg4OVkpKihIQEs83GjRuVnZ1t8YsBABUbgRsAAAClrUzdvfz8+fM6duyYTp06Jel6oJauH4n29fWVu7u7wsPDNWnSJHl6esrNzU3jx49XcHCwxZ3LAwICFB0drf79+8vOzk4TJkzQ7Nmz1bRpU/n7+2v69Ony8/NTv379JEnNmzdXr169NGrUKMXExCgrK0sREREaNGgQdy4HKgkCNwAAAKyhTIXuzz//XCNHjjTfDxo0SJI0Y8YMzZw5U5I0b9482dvbKywsTBkZGQoNDdWiRYssxklMTFRqaqr5fvLkyUpPT9fo0aOVkpKiLl26aN26dXJycjLbLF++XBEREerRo4c5/oIFC6w4WwBlBYEbAAAA1lKmQveIESM0YsSIAts4OTlp4cKFWrhwYb5tDMOweG9nZ6eoqChFRUXl28fT01MrVqwoVr0Ayj8CN1B57d27V66urrYuA7C5gwcPWrU9bKNWrVpq0KCBVbdx7NgxnTt3zqrbKMsuXrxYpHZlKnQDwO1E4AYqt27dutm6BKBM2X2g4PUHf7/+3yFDhli/GNyy6tWddPBgYr7Bu7DPW/rfZ56XY8eOqXnzZrp06UoJK6w8CN0AKiUCNwAAlkZFFt7G3l7KzrZ+LbCenCc6FeXzlq6H91q1almxooqP0A2g0iFwA5CkLVu2cHo58P+dPXu2SKcJe3h4WDyGF2VXfqeX16lTR6dOndLp06dvaZwGDRro4MHESn96eVHOmiJ0A6hUCNwAcrRr105ubm62LgMAbrs6deqUyi9PGjRoYPXrxsuytLS0IrWz2XO6AeB2I3ADpeeTTz5Rz5495eXlJTs7O+3duzdXm/vuu092dnYWrzFjxhQ4rmEYioyMVJ06deTs7KyQkBAdOnTIos358+c1ePBgubm5ycPDQ+Hh4UW+mQ0AALcboRtApUDgBkpXenq6unTpoldffbXAdqNGjdLp06fN15w5cwpsP2fOHC1YsEAxMTGKj4+Xi4uLQkNDdeXK/27UM3jwYO3fv1+xsbFau3attm7dqtGjR5fKvAAAKG2cXg6gwiNwA6Vv6NChkqQjR44U2K569ery9fUt0piGYWj+/PmaNm2aHnroIUnS+++/Lx8fH61Zs0aDBg3SwYMHtW7dOu3cuVMdOnSQJL311lt64IEH9Prrr8vPz6/kkwIAwAoI3QAqNAI3YFvLly/Xhx9+KF9fX/Xp00fTp09X9erV82x7+PBhJSUlKSQkxFzm7u6uoKAgxcXFadCgQYqLi5OHh4cZuCUpJCRE9vb2io+PV//+/XONm5GRoYyMDPN9amqqpKJfiwcAQF5yfo4YhlFgO0I3gAqLwA3Y1uOPP66GDRvKz89PP/74o6ZMmaLExER98sknebZPSkqSJPn4+Fgs9/HxMdclJSXJ29vbYn3VqlXl6elptrlZdHS0Zs2alWt5/fr1iz0nAABuduHCBbm7u+e7ntANoEIicAOlZ/ny5XrqqafM919//bXuvffeQvvdeJ1169atVadOHfXo0UO//fabGjdubJVa8zJ16lRNmjTJfJ+dna3z58+bN4GztbS0NNWvX1/Hjx/nbuq3iH1ZetiXpYd9WXrK2r40DEMXLlwo9NImQjeACofADZSuvn37KigoyHxft27dEo2TM8avv/6aZ+jOufY7OTnZ4lE2ycnJateundnmzJkzFv2uXr2q8+fP53vtuKOjoxwdHS2WeXh4lGgO1uTm5lYm/hFZEbAvSw/7svSwL0tPWdqXBR3hzsHdywFUKARuoPTVqFFDTZo0MV/Ozs4lGifnsWL5PRvW399fvr6+2rBhg7ksLS1N8fHxCg4OliQFBwcrJSVFCQkJZpuNGzcqOzvb4hcDAACUFRzpBlBhELiB2+f8+fM6duyYTp06JUlKTEyUdP1ItK+vr3777TetWLFCDzzwgLy8vPTjjz9q4sSJ6tq1q9q0aWOOExAQoOjoaPXv3192dnaaMGGCZs+eraZNm8rf31/Tp0+Xn5+f+vXrJ0lq3ry5evXqpVGjRikmJkZZWVmKiIjQoEGDuHM5AKBMInQDqBAI3MDt9fnnn2vkyJHm+0GDBkmSZsyYoZkzZ8rBwUHr16/X/PnzlZ6ervr16yssLEzTpk2zGCcxMdG8m7gkTZ48Wenp6Ro9erRSUlLUpUsXrVu3Tk5OTmab5cuXKyIiQj169JC9vb3CwsK0YMECK8/YehwdHTVjxoxcp8Cj+NiXpYd9WXrYl6WnvO5LO6Ow+5ujyNLS0uTu7q4t70tdO9q6mvJt934p8GEpLHKxajdsWmDbmPAQvTNLGvXIbSoOZQ6BGxVN5uV0vRvxkFJTU8vMNWsAAKBkuKYbQLlG4AYAAEBZRugGUG4RuAEAAFDWEboBlEsEbgAAAJQHhG4A5Q6BGwAAAOUFoRtAuULgBgAAQHlC6AZQbhC4AZRFWVlZmjJlilq3bi0XFxf5+flp2LBh5jPMc5w/f16DBw+Wm5ubPDw8FB4erosXLxY49pUrVzRu3Dh5eXnJ1dVVYWFhSk5Otmhz7Ngx9e7dW9WrV5e3t7eef/55Xb16tdTnebt88skn6tmzp7y8vGRnZ6e9e/fmalOU/XIzwzAUGRmpOnXqyNnZWSEhITp06JBFm5J8RuXJwoUL1ahRIzk5OSkoKEg//PBDge1Xr16tgIAAOTk5qXXr1vrqq68s1hdln5Z3W7duVZ8+feTn5yc7OzutWbPGYn1J90Fhn0VJvuNlWXR0tDp27KgaNWrI29tb/fr1U2JiokWbivznmtANoFwgcAMoqy5duqTdu3dr+vTp2r17tz755BMlJiaqb9++Fu0GDx6s/fv3KzY2VmvXrtXWrVs1evToAseeOHGivvjiC61evVpbtmzRqVOnNGDAAHP9tWvX1Lt3b2VmZmr79u167733tGzZMkVGRlplrrdDenq6unTpoldffTXfNoXtl7zMmTNHCxYsUExMjOLj4+Xi4qLQ0FBduXLFbFOSz6i8WLVqlSZNmqQZM2Zo9+7datu2rUJDQ3XmzJk822/fvl2PPfaYwsPDtWfPHvXr10/9+vXTTz/9ZLYpyj4t79LT09W2bVstXLgwz/Ul2QdF+SxK8h0vy7Zs2aJx48Zpx44dio2NVVZWlnr27Kn09HSzTUX+c81zuksRz+kuPTynGzcicKOy4Tnd5d/OnTvVqVMnHT16VA0aNNDBgwfVokUL7dy5Ux06dJAkrVu3Tg888IBOnDghPz+/XGOkpqaqdu3aWrFihR5++Prfez///LOaN2+uuLg4de7cWV9//bUefPBBnTp1Sj4+PpKkmJgYTZkyRWfPnpWDg8Ptm3QpO3LkiPz9/bVnzx61a9fOXF6U/XIzwzDk5+env/3tb3ruuefMcXx8fLRs2TINGjSoRJ9ReRIUFKSOHTvq7bffliRlZ2erfv36Gj9+vF544YVc7R999FGlp6dr7dq15rLOnTurXbt2iomJKdI+rWjs7Oz06aefql+/fpKK9r3KS2GfRUm+4+XN2bNn5e3trS1btqhr164V/s81R7oBlGkEbgDlUWpqquzs7OTh4SFJiouLk4eHh/mPPkkKCQmRvb294uPj8xwjISFBWVlZCgkJMZcFBASoQYMGiouLM8dt3bq1GbglKTQ0VGlpadq/f78VZmZ7RdkvNzt8+LCSkpIs+ri7uysoKMhiXxb3MyovMjMzlZCQYDF/e3t7hYSE5LvP4uLiLNpL179bOe2Lsk8rupLsg6J8FiX5jpc3qampkiRPT09JFf/PNaEbQJlF4AZQHl25ckVTpkzRY489Zp6pkJSUJG9vb4t2VatWlaenp5KSkvIcJykpSQ4ODmZwz+Hj42P2SUpKsgjcOetz1lVERdkvefXJaZNfn5J8RuXFuXPndO3atQLnf7P8vls37q+cZUUds6IpyT4oymdRku94eZKdna0JEybonnvuUatWrSRV/D/XhG4AZRKBG0BZtXz5crm6upqvbdu2meuysrL0yCOPyDAMLV682IZVlg8F7UsAFdO4ceP0008/aeXKlbYu5bYhdAMocwjcAMqyvn37au/eveYr57TFnMB99OhRxcbGWlyP7+vrm+uGVVevXtX58+fl6+ub53Z8fX2VmZmplJQUi+XJyclmH19f31x39815n9+4ZUl++7IgRdkvefXJaZNfn5J8RuVFrVq1VKVKlQLnf7P8vls37q+cZUUds6IpyT4oymdRku94eREREaG1a9dq06ZNqlevnrm8ov+5JnQDKFMI3ADKuho1aqhJkybmy9nZ2Qzchw4d0vr16+Xl5WXRJzg4WCkpKUpISDCXbdy4UdnZ2QoKCspzO4GBgapWrZo2bNhgLktMTNSxY8cUHBxsjrtv3z6Lf1TmBP4WLVqU5rStIq99WZii7Jeb+fv7y9fX16JPWlqa4uPjLfZlcT+j8sLBwUGBgYEW88/OztaGDRvy3WfBwcEW7aXr362c9kXZpxVdSfZBUT6LknzHyzrDMBQREaFPP/1UGzdulL+/v8X6iv7nuupt2xIAFILADaA8ysrK0sMPP6zdu3dr7dq1unbtmnmtoKenpxwcHNS8eXP16tVLo0aNUkxMjLKyshQREaFBgwaZd889efKkevTooffff1+dOnWSu7u7wsPDNWnSJHl6esrNzU3jx49XcHCweSffnj17qkWLFho6dKjmzJmjpKQkTZs2TePGjZOjo6PN9smtOH/+vI4dO2Y+5zznWb6+vr7y9fUt0n6Rrt+EKTo6Wv3795ednZ0mTJig2bNnq2nTpvL399f06dPl5+dn3om6KJ9ReTZp0iQNHz5cHTp0UKdOnTR//nylp6dr5MiRkqRhw4apbt26io6OliQ9++yz6tatm9544w317t1bK1eu1K5du/TOO+9IUpH2aUVw8eJF/frrr+b7w4cPa+/evfL09FSDBg2KtA969Oih/v37KyIiQlLhn0VRv+Plybhx47RixQp99tlnqlGjhvl3pLu7u5ydnSv8n2tCN4AygcANoLw6efKkPv/8c0myeLSVJG3atEn33XefpOvXL0dERKhHjx6yt7dXWFiYFixYYLbNyspSYmKiLl26ZC6bN2+e2TYjI0OhoaFatGiRub5KlSpau3atxo4dq+DgYLm4uGj48OGKioqy3oSt7PPPPzfDhyTzsUszZszQzJkzJRW+X6TrYT3nDsmSNHnyZKWnp2v06NFKSUlRly5dtG7dOjk5OZltCvuMyrNHH31UZ8+eVWRkpJKSktSuXTutW7fOvAnVsWPHZG//v5Ng7777bq1YsULTpk3Tiy++qKZNm2rNmjXmja+kou3T8m7Xrl36y1/+Yr6fNGmSJGn48OFatmxZkfbBb7/9pnPnzpnvC/sspKJ9x8uTnHtc5Px9mGPp0qUaMWKEpIr955rndJcintNdenhOd+VC4AYs8ZxuAAAqDq7pBmBTBG4AAABUZIRuADZD4AYAAEBFR+gGYBMEbgAAAFQGhG4Atx2BGwAAAJUFoRvAbUXgBgAAQGVC6AZw2xC4AQAAUNkQugHcFgRuAAAAVEaEbgBWR+AGAABAZUXoBmBVBG4AAMqWJUuWqGfPnjbZ9gsvvKDx48fbZNuArRC6AVgNgRsAgLLlypUrmj59umbMmGGT7T/33HN677339Pvvv9tk+4AtELoBWAWBGwCAsufjjz+Wm5ub7rnnHptsv1atWgoNDdXixYttsn3AFgjdAEodgRsAAOs6e/asfH199corr5jLtm/fLgcHB23YsCHffitXrlSfPn0slo0YMUL9+vXTK6+8Ih8fH3l4eCgqKkpXr17V888/L09PT9WrV09Lly41+xw5ckR2dnb66KOPdO+998rZ2VkdO3bUL7/8op07d6pDhw5ydXXV/fffr7Nnz1psr0+fPlq5cmUp7Qmg7CN0AyhVBG4AAKyvdu3aevfddzVz5kzt2rVLFy5c0NChQxUREaEePXrk2++7775Thw4dci3fuHGjTp06pa1bt2ru3LmaMWOGHnzwQdWsWVPx8fEaM2aMnnrqKZ04ccKi34wZMzRt2jTt3r1bVatW1eOPP67JkyfrzTff1LZt2/Trr78qMjLSok+nTp104sQJHTlypFT2BVDWlZnQnZWVpSlTpqh169ZycXGRn5+fhg0bplOnTlm0O3/+vAYPHiw3Nzd5eHgoPDxcFy9eLHDsK1euaNy4cfLy8pKrq6vCwsKUnJxs0ebYsWPq3bu3qlevLm9vbz3//PO6evVqqc8T1nH1mpSVxcvWr8xMAjcAALfLAw88oFGjRmnw4MEaM2aMXFxcFB0dnW/7lJQUpaamys/PL9c6T09PLViwQM2aNdMTTzyhZs2a6dKlS3rxxRfVtGlTTZ06VQ4ODvruu+8s+j333HMKDQ1V8+bN9eyzzyohIUHTp0/XPffco/bt2ys8PFybNm2y6JOz/aNHj5bCXgDKvqq2LiDHpUuXtHv3bk2fPl1t27bVn3/+qWeffVZ9+/bVrl27zHaDBw/W6dOnFRsbq6ysLI0cOVKjR4/WihUr8h174sSJ+vLLL7V69Wq5u7srIiJCAwYM0Pfffy9Junbtmnr37i1fX19t375dp0+f1rBhw1StWjWLU3ZQNjk6O+npqCt6OsrWlSAHgRsAgNvj9ddfV6tWrbR69WolJCTI0dEx37aXL1+WJDk5OeVa17JlS9nb/+94nI+Pj1q1amW+r1Kliry8vHTmzBmLfm3atLHoI0mtW7e2WHZzH2dnZ0nX//0PVAZlJnS7u7srNjbWYtnbb7+tTp066dixY2rQoIEOHjyodevWmdeJSNJbb72lBx54QK+//nqev7VLTU3VkiVLtGLFCnXv3l2StHTpUjVv3lw7duxQ586d9e233+rAgQNav369fHx81K5dO7388suaMmWKZs6cKQcHB+vvAJRYnylv6o9jv9m6DPx/zm4eatC6k63LAACgUvjtt9906tQpZWdn68iRIxaB92ZeXl6ys7PTn3/+mWtdtWrVLN7b2dnluSw7OzvffnZ2dnkuu7nP+fPnJV0/RR6oDMpM6M5Lamqq7Ozs5OHhIUmKi4uTh4eHxXUoISEhsre3V3x8vPr3759rjISEBGVlZSkkJMRcFhAQoAYNGiguLk6dO3dWXFycWrdubf52TpJCQ0M1duxY7d+/X+3bt8+zvoyMDGVkZJjv09LSbnXKKIFa9RurVv3Gti4DAADgtsrMzNSQIUP06KOPqlmzZnryySe1b98+eXt759newcFBLVq00IEDB2z2nG5J+umnn1StWjW1bNnSZjUAt1OZuab7ZleuXNGUKVP02GOPyc3NTZKUlJSU6y+RqlWrytPTU0lJSXmOk5SUJAcHBzO45/Dx8TH7JCUlWQTunPU56/ITHR0td3d381W/fv1izREAAAAoqZdeekmpqalasGCBpkyZojvvvFNPPPFEgX1CQ0NzXZd9u23bts284zlQGdgsdC9fvlyurq7ma9u2bea6rKwsPfLIIzIMo0w/w2/q1KlKTU01X8ePH7d1SQAAAKgENm/erPnz5+uDDz6Qm5ub7O3t9cEHH2jbtm0F/vs5PDxcX331lVJTU29jtZZWrlypUaNG2Wz7wO1ms9PL+/btq6CgIPN93bp1Jf0vcB89elQbN240j3JLkq+vb64bMVy9elXnz5+Xr69vntvx9fVVZmamUlJSLI52Jycnm318fX31ww8/WPTLubt5fuNKkqOjY4E3qwAAAACs4b777lNWVpbFskaNGhUaplu0aKHevXtr0aJFmjp1qiRp2bJludpt3rw517IbH/HVqFEjGYaRq6abl40YMUIjRoww33/99deyt7fXww9zw1VUHjY70l2jRg01adLEfDk7O5uB+9ChQ1q/fr28vLws+gQHByslJUUJCQnmso0bNyo7O9siwN8oMDBQ1apV04YNG8xliYmJOnbsmIKDg81x9+3bZxHoY2Nj5ebmphYtWpTmtAEAAACbeu211+Tq6mqTbaenp2vp0qWqWrVM31oKKFVl5tuelZWlhx9+WLt379batWt17do183pqT09POTg4qHnz5urVq5dGjRqlmJgYZWVlKSIiQoMGDTLvXH7y5En16NFD77//vjp16iR3d3eFh4dr0qRJ8vT0lJubm8aPH6/g4GB17txZktSzZ0+1aNFCQ4cO1Zw5c5SUlKRp06Zp3LhxHMkGAABAhdKoUSONHz/eJtvmCDcqozITuk+ePKnPP/9cktSuXTuLdZs2bdJ9990n6fq14BEREerRo4fs7e0VFhamBQsWmG2zsrKUmJho8dy/efPmmW0zMjIUGhqqRYsWmeurVKmitWvXauzYsQoODpaLi4uGDx+uqCge/AwAAAAAKDk74+YLL1BiaWlpcnd315b3pa4dbV1N+bZ7vxT4sBQWuVi1Gza1dTkAcFtlXk7XuxEPKTU11eLeJgAAoPwps48MAwAAAACgvCszp5cDuHUX/kjWlYtpti4DKHOcXN1Uw8vH1mUAAIBKiNANVBAX/kjW6ukjlJmRVXhjoJJxcKymgS8vI3gDAIDbjtANVBBXLqYpMyNLH86Rmt9h62qAsuPg79KQyVm6cjGN0A0AAG47QjdQwTS/Q7qrpa2rAAAAACBxIzUAAAAAAKyG0A0AAAAAgJUQugEAAAAAsBJCNwAAAAAAVkLoBgAAAADASgjdAAAAAABYCaEbAAAAAAArIXQDAAAAAGAlhG4AAAAAAKyE0A0AAAAAgJUQugEAAAAAsBJCNwAAAAAAVkLoBgAAAADASgjdAAAAAABYCaEbAAAAAAArIXQDAAAAAGAlhG4AAAAAAKyE0A0AAAAAgJUQugEAAAAAsBJCNwAAAAAAVkLoBgAAAADASgjdAAAAAABYCaEbAAAAAAArIXQDAAAAAGAlhG4AAAAAAKyE0A0AAAAAgJUQugEAAAAAsBJCNwAAAAAAVkLoBgAAAADASgjdAAAAAABYCaEbAAAAAAArIXQDAAAAAGAlhG4AAAAAAKyE0A0AAAAAgJVUtXUBFdF/f5Zcq9u6ivLt4O+2rgAAAAAAbh2h2wqeecXWFVQMDo7V5OTqZusyAAAAAKDECN1W0HfKXFVzdLZ1GeWek6ubanj52LoMAAAAACgxQrcV1KrfWA7OLrYuAwAAAABgY9xIDQAAAAAAKyF0AwAAAABgJWUqdM+cOVMBAQFycXFRzZo1FRISovj4eIs258+f1+DBg+Xm5iYPDw+Fh4fr4sWLBY575coVjRs3Tl5eXnJ1dVVYWJiSk5Mt2hw7dky9e/dW9erV5e3treeff15Xr14t9TkCAAAAACqPMhW677zzTr399tvat2+fvvvuOzVq1Eg9e/bU2bNnzTaDBw/W/v37FRsbq7Vr12rr1q0aPXp0geNOnDhRX3zxhVavXq0tW7bo1KlTGjBggLn+2rVr6t27tzIzM7V9+3a99957WrZsmSIjI602VwAAAABAxVemQvfjjz+ukJAQ3XHHHWrZsqXmzp2rtLQ0/fjjj5KkgwcPat26dfr3v/+toKAgdenSRW+99ZZWrlypU6dO5TlmamqqlixZorlz56p79+4KDAzU0qVLtX37du3YsUOS9O233+rAgQP68MMP1a5dO91///16+eWXtXDhQmVmZt62+QMAAAAAKpYyFbpvlJmZqXfeeUfu7u5q27atJCkuLk4eHh7q0KGD2S4kJET29va5TkPPkZCQoKysLIWEhJjLAgIC1KBBA8XFxZnjtm7dWj4+/3s8VWhoqNLS0rR///58a8zIyFBaWprFCwAAAACAHGUudK9du1aurq5ycnLSvHnzFBsbq1q1akmSkpKS5O3tbdG+atWq8vT0VFJSUp7jJSUlycHBQR4eHhbLfXx8zD5JSUkWgTtnfc66/ERHR8vd3d181a9fv1hzBQAAAABUbDYL3cuXL5erq6v52rZtmyTpL3/5i/bu3avt27erV69eeuSRR3TmzBlblVmgqVOnKjU11XwdP37c1iUBAAAAAMqQqrbacN++fRUUFGS+r1u3riTJxcVFTZo0UZMmTdS5c2c1bdpUS5Ys0dSpU+Xr65srgF+9elXnz5+Xr69vntvx9fVVZmamUlJSLI52Jycnm318fX31ww8/WPTLubt5fuNKkqOjoxwdHYs+aQAAAABApWKzI901atQww3WTJk3k7OycZ7vs7GxlZGRIkoKDg5WSkqKEhARz/caNG5WdnW0R4G8UGBioatWqacOGDeayxMREHTt2TMHBwea4+/btswj0sbGxcnNzU4sWLW55rgAAAACAyqnMXNOdnp6uF198UTt27NDRo0eVkJCgJ554QidPntTAgQMlSc2bN1evXr00atQo/fDDD/r+++8VERGhQYMGyc/PT5J08uRJBQQEmEeu3d3dFR4erkmTJmnTpk1KSEjQyJEjFRwcrM6dO0uSevbsqRYtWmjo0KH673//q2+++UbTpk3TuHHjOJINAAAAACgxm51efrMqVaro559/1nvvvadz587Jy8tLHTt21LZt29SyZUuz3fLlyxUREaEePXrI3t5eYWFhWrBggbk+KytLiYmJunTpkrls3rx5ZtuMjAyFhoZq0aJFFtteu3atxo4dq+DgYLm4uGj48OGKioq6PZMHAAAAAFRIZSZ0Ozk56ZNPPim0naenp1asWJHv+kaNGskwjFxjL1y4UAsXLsy3X8OGDfXVV18VvWAAAAAAAApRZk4vBwAAAACgoiF0AwAAAABgJYRuAAAAAACshNANAAAAAICVELoBAAAAALASQjcAAAAAAFZC6AYAAAAAwEoI3QAAAAAAWAmhGwAAAAAAKyF0AwAAAABgJYRuAAAAAACshNANAAAAAICVELoBAAAAALASQjcAAAAAAFZC6AYAAAAAwEoI3QAAAAAAWAmhGwAAAAAAKyF0AwAAAABgJYRuAAAAAACshNANAAAAAICVELoBAAAAALASQjcAAAAAAFZC6AYAAAAAwEoI3QAAAAAAWAmhGwAAAAAAKyF0AwAAAABgJYRuAAAAAACshNANAAAAAICVVLV1ARWJYRiSpMzLl2xcCSqjrIzLkqTvd0sX+QoCpsQj1/+blXFZmZfTbVpLUeX8HMn5uQIAAMovO4Of6KXmxIkTql+/vq3LAABUEMePH1e9evVsXQYAALgFhO5SlJ2drVOnTqlGjRqys7OzdTlKS0tT/fr1dfz4cbm5udm6nFLF3Mqvijw/5lZ+lbX5GYahCxcuyM/PT/b2XAkGAEB5xunlpcje3r5MHpFwc3MrE/+ItAbmVn5V5Pkxt/KrLM3P3d3d1iUAAIBSwK/PAQAAAACwEkI3AAAAAABWQuiuwBwdHTVjxgw5OjraupRSx9zKr4o8P+ZWflX0+QEAANvhRmoAAAAAAFgJR7oBAAAAALASQjcAAAAAAFZC6AYAAAAAwEoI3QAAAAAAWAmhuwybOXOmAgIC5OLiopo1ayokJETx8fEWbc6fP6/BgwfLzc1NHh4eCg8P18WLFwsc98qVKxo3bpy8vLzk6uqqsLAwJScnW7Q5duyYevfurerVq8vb21vPP/+8rl69WirzysrK0pQpU9S6dWu5uLjIz89Pw4YN06lTp8r93HJ88skn6tmzp7y8vGRnZ6e9e/eWqNabGYahyMhI1alTR87OzgoJCdGhQ4cs2pRkv92KhQsXqlGjRnJyclJQUJB++OGHAtuvXr1aAQEBcnJyUuvWrfXVV19ZrC/KHK1h69at6tOnj/z8/GRnZ6c1a9aUSl2F7Z+SfA+KKzo6Wh07dlSNGjXk7e2tfv36KTEx8ZbrKAvfx8WLF6tNmzZyc3OTm5ubgoOD9fXXX5f7eQEAgArEQJm1fPlyIzY21vjtt9+Mn376yQgPDzfc3NyMM2fOmG169epltG3b1tixY4exbds2o0mTJsZjjz1W4Lhjxowx6tevb2zYsMHYtWuX0blzZ+Puu+8211+9etVo1aqVERISYuzZs8f46quvjFq1ahlTp04tlXmlpKQYISEhxqpVq4yff/7ZiIuLMzp16mQEBgZatCuPc8vx/vvvG7NmzTL+9a9/GZKMPXv2FLvWvPzjH/8w3N3djTVr1hj//e9/jb59+xr+/v7G5cuXzTYl2W8ltXLlSsPBwcF49913jf379xujRo0yPDw8jOTk5Dzbf//990aVKlWMOXPmGAcOHDCmTZtmVKtWzdi3b1+x5mgNX331lfHSSy8Zn3zyiSHJ+PTTTy3Wl6SuouyfknwPiis0NNRYunSp8dNPPxl79+41HnjgAaNBgwbGxYsXb6mOsvB9/Pzzz40vv/zS+OWXX4zExETjxRdfNKpVq2b89NNP5XpeAACg4iB0lyOpqamGJGP9+vWGYRjGgQMHDEnGzp07zTZff/21YWdnZ5w8eTLPMVJSUoxq1aoZq1evNpcdPHjQkGTExcUZhnE9fNjb2xtJSUlmm8WLFxtubm5GRkaGNaZm/PDDD4Yk4+jRo4ZhVJy5HT58OM/QXZRab5adnW34+voar732msU4jo6Oxn/+8x/DMEq2325Fp06djHHjxpnvr127Zvj5+RnR0dF5tn/kkUeM3r17WywLCgoynnrqKcMwijbH2+Hm0F3SugrbPyX5HpSGM2fOGJKMLVu2lLiOsvh9zFGzZk3j3//+d4WbFwAAKJ84vbycyMzM1DvvvCN3d3e1bdtWkhQXFycPDw916NDBbBcSEiJ7e/tcp6HnSEhIUFZWlkJCQsxlAQEBatCggeLi4sxxW7duLR8fH7NNaGio0tLStH//fmtMT6mpqbKzs5OHh4dZQ0WZW0lrvdnhw4eVlJRk0cfd3V1BQUEW8yvufiupzMxMJSQkWNRjb2+vkJCQfOcQFxdn0V66vv9z2hdljrZQkrqKsn9K8j0oDampqZIkT0/PEtdR1r6PknTt2jWtXLlS6enpCg4OrjDzAgAA5Ruhu4xbu3atXF1d5eTkpHnz5ik2Nla1atWSJCUlJcnb29uifdWqVeXp6amkpKQ8x0tKSpKDg4MZbnP4+PiYfZKSkixCac76nHWl7cqVK5oyZYoee+wxubm5mdupCHPLT1FqzatPTpv8+pRkv5XUuXPndO3atQLruVl++//G+nOWFXXM26EkdRVl/5Tke3CrsrOzNWHCBN1zzz1q1apViesoS9/Hffv2ydXVVY6OjhozZow+/fRTtWjRotzPCwAAVAyE7jJi+fLlcnV1NV/btm2TJP3lL3/R3r17tX37dvXq1UuPPPKIzpw5Y+Nqiye/uUnXb6r2yCOPyDAMLV682IZVllxB8wPKmnHjxumnn37SypUrbV1KqWnWrJn27t2r+Ph4jR07VsOHD9eBAwdsXRYAAIAkQneZ0bdvX+3du9d85Zy26OLioiZNmqhz585asmSJqlatqiVLlkiSfH19cwXwq1ev6vz58/L19c1zO76+vsrMzFRKSorF8uTkZLOPr69vrrv75rzPb9ySzC0ncB89elSxsbHmUe7yNLeC5leQotSaV58b682rT0n2W0nVqlVLVapUKbCem+W3/2+sP2dZUce8HUpSV1H2T0m+B7ciIiJCa9eu1aZNm1SvXj1zeXn/Pjo4OKhJkyYKDAxUdHS02rZtqzfffLPczwsAAFQMhO4yokaNGmrSpIn5cnZ2zrNddna2MjIyJEnBwcFKSUlRQkKCuX7jxo3Kzs5WUFBQnv0DAwNVrVo1bdiwwVyWmJioY8eOKTg42Bx33759Fv+ozAnFLVq0KJW55QTuQ4cOaf369fLy8rLoU17mlt/8ClOUWm/m7+8vX19fiz5paWmKj4+3mF9x91tJOTg4KDAw0KKe7OxsbdiwId85BAcHW7SXru//nPZFmaMtlKSuouyfknwPSsIwDEVEROjTTz/Vxo0b5e/vb7G+Inwfb5Tz92RFmxcAACinbH0nN+Tt4sWLxtSpU424uDjjyJEjxq5du4yRI0cajo6O5qNwDOP6Y2vat29vxMfHG999953RtGlTi8fWnDhxwmjWrJkRHx9vLhszZozRoEEDY+PGjcauXbuM4OBgIzg42Fyf81itnj17Gnv37jXWrVtn1K5du9Qeq5WZmWn07dvXqFevnrF3717j9OnT5uvGO4iXx7nl+OOPP4w9e/YYX375pSHJWLlypbFnzx7j9OnTRa7VMAyjWbNmxieffGK+/8c//mF4eHgYn332mfHjjz8aDz30UJ6PMipov5WmlStXGo6OjsayZcuMAwcOGKNHjzY8PDzMu8MPHTrUeOGFF8z233//vVG1alXj9ddfNw4ePGjMmDEjz0eGFTZHa7hw4YKxZ88eY8+ePYYkY+7cucaePXvMO+oXpa7u3bsbb731VpH3j2EU7Xtwq8aOHWu4u7sbmzdvtvjzdunSpWLVURa/jy+88IKxZcsW4/Dhw8aPP/5ovPDCC4adnZ3x7bfflut5AQCAioPQXUZdvnzZ6N+/v+Hn52c4ODgYderUMfr27Wv88MMPFu3++OMP47HHHjNcXV0NNzc3Y+TIkcaFCxfM9TmPrNq0aZPF2E8//bRRs2ZNo3r16kb//v0twqBhGMaRI0eM+++/33B2djZq1apl/O1vfzOysrJKZW45NeX1urHO8ji3HEuXLs1zfjNmzChWrZKMpUuXmu+zs7ON6dOnGz4+Poajo6PRo0cPIzEx0aJPYfuttL311ltGgwYNDAcHB6NTp07Gjh07zHXdunUzhg8fbtH+o48+Mu68807DwcHBaNmypfHll19arC/KHK1h06ZNeX5mOfUXpa6GDRtafMaGUfD+MYyifQ9uVX5/3m78bpXX7+MTTzxhNGzY0HBwcDBq165t9OjRwwzc5XleAACg4rAzDMO4LYfUAQAAAACoZLimGwAAAAAAKyF0AwAAAABgJYRuAAAAAACshNANAAAAAICVELoBAAAAALASQjcAAAAAAFZC6AYAAAAAwEoI3QAAAAAAWAmhG0CpWLJkiXr27GmTbb/wwgsaP368TbYNAAAAFMTOMAzD1kUAKN+uXLmiO+64Q6tXr9Y999xz27d/7tw53XHHHdq7d6/uuOOO2759AAAAID8c6QZwyz7++GO5ubnZJHBLUq1atRQaGqrFixfbZPsAAABAfgjdAExnz56Vr6+vXnnlFXPZ9u3b5eDgoA0bNuTbb+XKlerTp4/FshEjRqhfv3565ZVX5OPjIw8PD0VFRenq1at6/vnn5enpqXr16mnp0qVmnyNHjsjOzk4fffSR7r33Xjk7O6tjx4765ZdftHPnTnXo0EGurq66//77dfbsWYvt9enTRytXriylPQEAAACUDkI3AFPt2rX17rvvaubMmdq1a5cuXLigoUOHKiIiQj169Mi333fffacOHTrkWr5x40adOnVKW7du1dy5czVjxgw9+OCDqlmzpuLj4zVmzBg99dRTOnHihEW/GTNmaNq0adq9e7eqVq2qxx9/XJMnT9abb76pbdu26ddff1VkZKRFn06dOunEiRM6cuRIqewLAAAAoDRwTTeAXMaNG6f169erQ4cO2rdvn3bu3ClHR8c826akpKhmzZraunWr7r33XnP5iBEjtHnzZv3++++yt7/++72AgAB5e3tr69atkqRr167J3d1d//73vzVo0CAdOXJE/v7/r707ZIk0isIA/I46oiAaJpi3GJzR4B8QLP4CEcHk6C8wiBgtggYxCwpTBLsmYWCsFhGxWA0GZQQVDMOGBdlZ3V0WdtTwPO27H4d7vmkv53LnW3Z3d1OtVpP8mKLPzc3l5OQkU1NTSZKNjY3s7+/n6urqdb+Hh4cMDQ2lXq9ncnKyI78LAAD8q57PbgD4era2tlKpVHJ4eJizs7PfBu4keX5+TpL09fW9eVcul18Dd5IMDw+nUqm8Pnd3d6dUKuX29ratbnx8vK0mScbGxtrWfq3p7+9Pkjw9Pf31+wAA4KM4Xg68cX19nZubm7Rarb8e1y6VSikUCrm/v3/zrlgstj0XCoV311qt1m/rCoXCu2u/1tzd3SX5cUQeAAC+CqEbaPPy8pL5+fnMzs5mfX09i4uLb6bKP+vt7c3o6GguLy8/sMu3Li4uUiwWUy6XP7UPAAD4mdANtFlbW0uz2czOzk5WVlYyMjKShYWFP9ZMT0/n9PT0gzp8X6PReL3xHAAAvgqhG3hVr9ezvb2dWq2WwcHBdHV1pVarpdFo/PE/sKvVao6OjtJsNj+w23YHBwdZWlr6tP0BAOA9bi8H/ouZmZlMTExkdXX1w/c+Pj7O8vJyzs/P09PjfkgAAL4Ok27gv9jc3MzAwMCn7P34+Ji9vT2BGwCAL8ekGwAAADrEpBsAAAA6ROgGAACADhG6AQAAoEOEbgAAAOgQoRsAAAA6ROgGAACADhG6AQAAoEOEbgAAAOgQoRsAAAA65DvMWRJn/VTfcQAAAABJRU5ErkJggg==",
       "text/plain": [
        "
"
       ]
@@ -362,7 +377,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -440,7 +455,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -452,7 +467,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -462,7 +477,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -520,7 +535,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -569,7 +584,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -593,7 +608,6 @@
     "    radiation_monitors=(mon_rad_spatial, mon_rad_freqency),\n",
     "    freqs=freqs,\n",
     "    remove_dc_component=True,\n",
-    "    verbose=True,\n",
     ")"
    ]
   },
@@ -606,15 +620,60 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {
     "scrolled": true
    },
    "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "
14:53:57 UTC Created task 'cpa_modeler' with task_id                            \n",
+       "             'sid-a8d31b9e-22bf-4b76-b770-29442d0d9e16' and task_type 'RF'.     \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m14:53:57 UTC\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'cpa_modeler'\u001b[0m with task_id                            \n",
+       "\u001b[2;36m             \u001b[0m\u001b[32m'sid-a8d31b9e-22bf-4b76-b770-29442d0d9e16'\u001b[0m and task_type \u001b[32m'RF'\u001b[0m.     \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
             View task using web UI at                                          \n",
+       "             'https://tidy3d.dev-simulation.cloud/rf?taskId=pa-8d891f83-dcdf-4b8\n",
+       "             f-9b28-636de5c74ebb'.                                              \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
+       "\u001b[2;36m             \u001b[0m\u001b]8;id=711377;https://tidy3d.dev-simulation.cloud/rf?taskId=pa-8d891f83-dcdf-4b8f-9b28-636de5c74ebb\u001b\\\u001b[32m'https://tidy3d.dev-simulation.cloud/rf?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=508102;https://tidy3d.dev-simulation.cloud/rf?taskId=pa-8d891f83-dcdf-4b8f-9b28-636de5c74ebb\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=711377;https://tidy3d.dev-simulation.cloud/rf?taskId=pa-8d891f83-dcdf-4b8f-9b28-636de5c74ebb\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=628420;https://tidy3d.dev-simulation.cloud/rf?taskId=pa-8d891f83-dcdf-4b8f-9b28-636de5c74ebb\u001b\\\u001b[32mpa\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=711377;https://tidy3d.dev-simulation.cloud/rf?taskId=pa-8d891f83-dcdf-4b8f-9b28-636de5c74ebb\u001b\\\u001b[32m-8d891f83-dcdf-4b8\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[2;36m             \u001b[0m\u001b]8;id=711377;https://tidy3d.dev-simulation.cloud/rf?taskId=pa-8d891f83-dcdf-4b8f-9b28-636de5c74ebb\u001b\\\u001b[32mf-9b28-636de5c74ebb'\u001b[0m\u001b]8;;\u001b\\.                                              \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
             Task folder: 'default'.                                            \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=30885;https://tidy3d.dev-simulation.cloud/folders/folder-efc7bc86-8012-4944-bff3-6563ab8cccb9\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "78a49e66da8d4c238898a882ff9a2428",
+       "model_id": "e3275ea842f442dbbd43a36a1a33583d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -638,11 +697,26 @@
     {
      "data": {
       "text/html": [
-       "
19:32:12 CEST Started working on Batch containing 1 tasks.                      \n",
+       "
14:53:59 UTC Child simulation subtasks are being uploaded to                    \n",
+       "             - coax_port: rf-e67e0151-604e-434a-89cc-9eec7ca92068               \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m14:53:59 UTC\u001b[0m\u001b[2;36m \u001b[0mChild simulation subtasks are being uploaded to                    \n",
+       "\u001b[2;36m             \u001b[0m- coax_port: rf-\u001b[93me67e0151-604e-434a-89cc-9eec7ca92068\u001b[0m               \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
14:54:00 UTC Validating batch...                                                \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m19:32:12 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m1\u001b[0m tasks.                      \n"
+       "\u001b[2;36m14:54:00 UTC\u001b[0m\u001b[2;36m \u001b[0mValidating batch\u001b[33m...\u001b[0m                                                \n"
       ]
      },
      "metadata": {},
@@ -651,11 +725,15 @@
     {
      "data": {
       "text/html": [
-       "
19:32:14 CEST Maximum FlexCredit cost: 0.245 for the whole batch.               \n",
+       "
14:54:01 UTC Maximum FlexCredit cost: 0.245. Minimum cost depends on task       \n",
+       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
+       "             FlexCredit cost after a simulation run.                            \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m19:32:14 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.245\u001b[0m for the whole batch.               \n"
+       "\u001b[2;36m14:54:01 UTC\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.245\u001b[0m. Minimum cost depends on task       \n",
+       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
+       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
       ]
      },
      "metadata": {},
@@ -664,13 +742,26 @@
     {
      "data": {
       "text/html": [
-       "
              Use 'Batch.real_cost()' to get the billed FlexCredit cost after   \n",
-       "              the Batch has completed.                                          \n",
+       "
             Batch validation completed.                                        \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
-       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mBatch validation completed.                                        \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
14:54:02 UTC Modeler Batch: cpa_modeler (group                                  \n",
+       "             pa-8d891f83-dcdf-4b8f-9b28-636de5c74ebb)                           \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m14:54:02 UTC\u001b[0m\u001b[2;36m \u001b[0mModeler Batch: cpa_modeler \u001b[1m(\u001b[0mgroup                                  \n",
+       "\u001b[2;36m             \u001b[0mpa-\u001b[93m8d891f83-dcdf-4b8f-9b28-636de5c74ebb\u001b[0m\u001b[1m)\u001b[0m                           \n"
       ]
      },
      "metadata": {},
@@ -679,7 +770,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f114b417876d44dfbc2c20372a864584",
+       "model_id": "86d38d56e6da4e7196a156af20541444",
        "version_major": 2,
        "version_minor": 0
       },
@@ -693,11 +784,11 @@
     {
      "data": {
       "text/html": [
-       "
19:53:47 CEST Batch complete.                                                   \n",
+       "
14:58:14 UTC Postprocess completed.                                             \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m19:53:47 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
+       "\u001b[2;36m14:58:14 UTC\u001b[0m\u001b[2;36m \u001b[0mPostprocess completed.                                             \n"
       ]
      },
      "metadata": {},
@@ -716,7 +807,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f4adb3321f864363ba9258669d8b92f0",
+       "model_id": "fef8dbcadc1043e9b6ac43574f6ee6a1",
        "version_major": 2,
        "version_minor": 0
       },
@@ -736,11 +827,25 @@
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
14:58:16 UTC loading component modeler data from ./cm_data.hdf5                 \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m14:58:16 UTC\u001b[0m\u001b[2;36m \u001b[0mloading component modeler data from .\u001b[35m/\u001b[0m\u001b[95mcm_data.hdf5\u001b[0m                 \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
     "# Run the TerminalComponentModeler and populate the scattering matrix of this single CoaxialLumpedPort network.\n",
-    "s_matrix = modeler.run()"
+    "modeler_data = web.run(modeler, task_name=\"cpa_modeler\")\n",
+    "s_matrix = modeler_data.smatrix()"
    ]
   },
   {
@@ -754,12 +859,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -769,7 +874,7 @@
     }
    ],
    "source": [
-    "antenna_parameters_spatial = modeler.get_antenna_metrics_data(monitor_name=\"rad_spatial\")\n",
+    "antenna_parameters_spatial = modeler_data.get_antenna_metrics_data(monitor_name=\"rad_spatial\")\n",
     "partial_U = antenna_parameters_spatial.partial_radiation_intensity(pol_basis=\"circular\").sel(\n",
     "    f=freq0\n",
     ")\n",
@@ -818,7 +923,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -858,12 +963,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkIAAAHJCAYAAABpOFaGAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjYsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvq6yFwwAAAAlwSFlzAAAPYQAAD2EBqD+naQAARgdJREFUeJzt3Xt8zvX/x/HnZXYwc96cMnMKJToI3znlfEgH9XUIX4wligoRvn1/oZNQVF+hVCMpKtEJTRkhlcqSc045DhmbQ7Zr2+f3x+e7i7Vhm13X59r1edxvt+t2fa7P53N9rtf23uzp83l/3m+HYRiGAAAAbKiI1QUAAABYhSAEAABsiyAEAABsiyAEAABsiyAEAABsiyAEAABsiyAEAABsiyAEAABsiyAEAABsiyAEAABsiyAEAABsiyAEwHJz586Vw+HQ/v37rS7FZePGjWratKmKFy8uh8Oh+Ph4q0sC4AYEIQBukxlwMh9BQUGqXbu2hg0bpmPHjl3z8b/77jtNmDBBp0+fvvZiL+F0OtW9e3clJiZq+vTpmj9/viIiIq74ns2bN6tPnz667rrrFBAQoIoVK6p58+aaOHFigdYGoGAVtboAAL7vmWeeUfXq1XXhwgWtW7dOs2bN0rJly7RlyxYFBwfn+7jfffedJk6cqKioKJUuXbrA6t2zZ4/++OMPzZkzRw8++OBV9//kk0/Uq1cvVa1aVYMHD1blypV14MABff3113rvvfc0fvz4AqsNQMEiCAFwu86dO+v222+XJD344IMqV66cpk2bpk8//VS9evWyuLrsjh8/Lkm5ClenTp3SwIED1ahRI61atUoBAQGubc8884yOHDnirjIBFAAujQHwuDZt2kiS9u3bd9l9Nm3apM6dO6tkyZIKCQlR27Zt9f3337u2T5gwQaNHj5YkVa9e3XX57Wr9jK523KioKN1xxx2SpO7du8vhcKhVq1aXPd7XX3+tpKQkRUdHZwlBmSpXrnzFegBYizNCADxuz549kqRy5crluH3r1q1q0aKFSpYsqSeffFL+/v5644031KpVK61Zs0ZNmjTR/fffr127dumDDz7Q9OnTFRoaKkkKCwu77Ofm5riDBw/WddddpxdeeEGPPfaYGjVqpAoVKlz2mOfOnZNk9hECUAgZAOAmMTExhiTj66+/Nk6cOGEcPHjQWLhwoVGuXDmjWLFixqFDh7Lst2/fPsMwDKNr165GQECAsWfPHtexjhw5YpQoUcJo2bKla93UqVOzvO9qcnvcuLg4Q5Lx0UcfXfWY+/fvN4KDgw1JxvXXX288+eSTxqpVq4y0tLRc1QTAWlwaA+B27dq1U1hYmMLDw/XAAw8oJCRES5Ys0XXXXZdt3/T0dMXGxqpr166qUaOGa32lSpXUu3dvrVu3TsnJyXmuwV3HjYiI0IYNG9SjRw8dOXJEU6ZMUZs2bVSjRg19/fXXeT4eAM8iCAFwu9dff10rV65UXFyctm3bpr1796pjx4457nvixAmdP39ederUybbthhtuUEZGhg4ePJjnGtx1XElq0KCBFi1apMTERMXFxWnAgAE6ePCgHnjgAZ0/f96136xZs3TbbbfJ399fEyZMyHKMK20D4D70EQLgdo0bN3bdNebLAgIC1KpVK7Vq1UonTpzQF198oZ07d+rWW2+VZJ59mjBhgt5///1s773SNgDuQxAC4FXCwsIUHBysnTt3Ztu2Y8cOFSlSROHh4ZIkh8PhluMWhMDAQElSqVKlXOu6du0qSVq2bFm2/a+0DYD7cGkMgFfx8/NThw4d9Omnn2a5Ff7YsWN6//331bx5c5UsWVKSVLx4cUnK1cjSeTlubq1bt05//fVXtvWbN2/WihUrdOutt2bpjwTA+3BGCIDXee6557Ry5Uo1b95cjzzyiIoWLao33nhDKSkpmjJlimu/hg0bSpKeeuopPfDAA/L399fdd9/tCkj5PW5ujR07Vrt27VL37t118803Ky0tTfHx8Zo/f75KlSql+fPn5+8bAMBjCEIAvE69evW0du1ajRs3TpMmTVJGRoaaNGmi9957T02aNHHt16hRIz377LOaPXu2VqxYoYyMDO3bt++yQSi3x82tJ554Qh999JFiY2M1b948paenq3r16nr00Uc1evToK45pBMA7OAzDMKwuAgDsZMiQIapYsWKOd4ddaRuAgkcfIQDwkLS0NF24cEHp6elZlq+2DYD7cEYIADxkwoQJmjhxYpZ1MTExioqKuuI2AO5DEAIAALZli0tjr7/+uqpVq6agoCA1adJEP/74o9UlAQAAL+DzQWjRokUaOXKkxo8fr19++UU333yzOnbsqOPHj1tdGgAAsJjPXxpr0qSJGjVqpBkzZkiSMjIyFB4erkcffVRjx461uDoAAGAlnx5HKDU1VT///LPGjRvnWlekSBG1a9dOGzZsyPE9KSkpSklJcb3OyMhQYmKiypUrl6fh/AEAgHUMw9CZM2dUuXJlFSly+QtgPh2E/vzzT6Wnp6tChQpZ1leoUEE7duzI8T2TJk3KducGAAAonA4ePKgqVapcdrtPB6H8GDdunEaOHOl6nZSUpKpVq2rfvn0qUaKEhZXln9PpVFxcnFq3bi1/f3+ry7E12sK70B7eg7bwHr7SFmfOnFH16tWv+rfbp4NQaGio/Pz8dOzYsSzrjx07pooVK+b4nsDAQNes0ZcqW7Zsnidk9BZOp1PBwcEqV65cof6h9gW0hXehPbwHbeE9fKUtMmu/WrcWn75rLCAgQA0bNtQ333zjWpeRkaFvvvlGkZGRFlYGAAC8gU+fEZKkkSNHqn///rr99tvVuHFjvfLKKzp37pwGDBhgdWkAAMBiPh+EevbsqRMnTujpp59WQkKCbrnlFq1YsSJbB2oAAGA/Ph+EJGnYsGEaNmyY1WUAAAAv49N9hAAAAK6EIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyr0Aah559/Xk2bNlVwcLBKly6d4z4HDhxQly5dFBwcrPLly2v06NFKS0vzbKEAAMBrFbW6gPxKTU1V9+7dFRkZqbfffjvb9vT0dHXp0kUVK1bUd999p6NHj6pfv37y9/fXCy+8YEHFAADA2xTaM0ITJ07UiBEjVL9+/Ry3x8bGatu2bXrvvfd0yy23qHPnznr22Wf1+uuvKzU11cPVAgAAb1Rog9DVbNiwQfXr11eFChVc6zp27Kjk5GRt3brVwsoAAIC3KLSXxq4mISEhSwiS5HqdkJBw2felpKQoJSXF9To5OVmS5HQ65XQ63VCp+2XWXVjr9yW0hXehPbwHbeE9fKUtclu/VwWhsWPHavLkyVfcZ/v27apbt67bapg0aZImTpyYbX1sbKyCg4Pd9rmesHLlSqtLwP/QFt6F9vAetIV3cDodhb4tzp8/n6v9vCoIPfHEE4qKirriPjVq1MjVsSpWrKgff/wxy7pjx465tl3OuHHjNHLkSNfr5ORkhYeHq0OHDipZsmSuPtvbOJ1OrVy5Uu3bt5e/v7/V5dgabeFdaA/v4Ym2MAzJ6ZRSUqQLF8zl1NSsz2lpDtdyRkb2R3q6+WwYksMhFSly8fnvy/7+5qNoUaloUSPL64CAi4/AQPPZz88tX7Yk8+s7d046e9Z8PnnSoaNHpaNHc342jFQdOZJeqH8vMq/oXI1XBaGwsDCFhYUVyLEiIyP1/PPP6/jx4ypfvrwk838aJUuW1I033njZ9wUGBiowMDDben9//0L9AyH5xtfgK2gL70J7eJ7TKZ0/L/31l/lITpZ27y6lUqUC5HQW1YULF7dd+vj7+szXOT1nPjKDT0qKGWC8VZEiF0PRpaEpp+ciRS4GsszHpa9TUy+GnnPnzO933gTKMJyF+vcit7V7VRDKiwMHDigxMVEHDhxQenq64uPjJUm1atVSSEiIOnTooBtvvFF9+/bVlClTlJCQoP/85z8aOnRojkEHAHBlTqd08qT055/m4/RpM8Bc7nHunBl2Mp8vXc4+pJu/pFYe/Xr8/C6Gjr8/+/ub2zPP7lz6yDxz8/cAknnWyDDMM0dOZ/ZHWtrFM1B//x5kZFwMeO7i7y+FhEhlykiVK0uVKpnPly6Hhjq1ZUus/P07uK8QL1Jog9DTTz+tefPmuV7feuutkqS4uDi1atVKfn5++uKLL/Twww8rMjJSxYsXV//+/fXMM89YVTIAeKXUVOnQIenAgayPhAQz8Jw4cTH4uEOxYlKxYoYcjgsqUyZIxYo5/rfu4iMo6PKvc1oOCrr4CAzM/hwYaIYaK2Weufn7IyXlYlDKDE5/f05Pz3op7tJnh8MMdMWLm6Hn0ufcnCRxOqX9+9PkcLj/e+ANCm0Qmjt3rubOnXvFfSIiIrRs2TLPFAQAXiw9XdqzR9q2Tdq61Xzs3Xsx8OT2kpHDIZUrZz7KlpVKlsz6KFHi4nOJElJwsPkoXjzrc7Fi5nNgoHlMpzNNy5bF6s477yzUl2PywuG4GMpgnUIbhAAAOTt1Svr+e2nTpouhZ8cO80zD5QQFSVWrZn1UqiSFhUmhoRefy5Rxb6dewNMIQgBQiBmGeaZn/Xrpu+/M58uNGVusmHTDDVK9euajdu2LoSc0VLa5FAJciiAEAIXM/v3S559LcXFm8Dl+PPs+118vNW4s3XTTxeBTrZr1/WIAb0MQAgAvl54u/fijGX4+/1zasiXr9oAAqVEjqWlTqVkz87mARiIBfB5BCAC80Llz0ldfmcHnyy/NO7cy+flJzZtLnTtLLVpIDRvS4RbIL4IQAHgJwzAvdcXESB9+aA6Il6lUKTP43H231KmTeccWgGtHEAIAix06JL37rjR3rvT77xfXV68ude1qhp/mzXM3BgyAvCEIAYAFUlKkTz+V3nlHWrnSHFVYMsfZ6dFDGjDADD/cyQW4F0EIADwoKUmaPVt65RVzIMNMLVua4adbN3MUYACeQRACAA84ckR69VUzBGVOil25shl+oqKkWrUsLQ+wLYIQALjRzp3S1KnS/Pnm/FGSdOON0pNPSr16mbe+A7AOQQgA3GDTJumZZ8x+QJnzeDVrJo0ZI3XpwsCGgLcgCAFAATpwQHrqKem99y6uu+ce8wxQs2bW1QUgZwQhACgAp09LkyaZ/YAyJzft1Uv6z3/MS2EAvBNBCACuQWqqNGuW9Oyz0smT5rpWrcx+QbffbmlpAHKBIAQA+WAY0scfS+PGmbO/S+bM7lOmmH2AGP8HKBwIQgCQR7t3Sw89ZM7+LkkVKkgTJ0rR0VJR/lUFChV+ZQEgl9LSpGnTpPHjpQsXpGLFpNGjpVGjpBIlrK4OQH4QhAAgF375RXrwQfO2eElq10564w2pRg1r6wJwbRjJAgCu4Px589b3xo3NEFSmjDk7fGwsIQjwBZwRAoDLWLXK7AuU2Rm6Z0/z9vgKFaytC0DB4YwQAPzNhQvSsGFS27ZmCKpSRfrsM2nhQkIQ4Gs4IwQAl9ixwzzzs3mz+fqRR8yBEkuWtLYuAO5BEAIAmeMCzZ1rngk6f14KCzMnSu3Y0erKALgTl8YA2F5ysvSvf0kDB5ohqG1b6ddfCUGAHRCEANja7t2l1aRJUb3/vuTnJ73wgvTVV1KlSlZXBsATuDQGwJYMQ3r11SIaN66F0tIcqlpV+uADqWlTqysD4EkEIQC2c/68FBUlffSRnySpa9cMvfNOEZUpY21dADyPS2MAbOXQIalFC+mjjyR/f0MPPfSrFi1KJwQBNsUZIRt46aUi2ru3uqpUkW69VSpC/IVN/fCD1LWrlJAghYZKH32UrqSk/XI4brS6NAAW4U+ij8vIMIPQW2810O23+yssTLr/fnN03F9/NbcDdvD++9Idd5gh6KabpI0bpWbNDKvLAmAxgpCPS0mRRozI0C23HFfx4oYSE6UlS6Thw6VbbjH/V9y1qzRrlnT6tLW1Au6QkSE99ZTUp4/5+3DPPdJ330nVqlldGQBvQBDyccWKSWPGZGjChA06fjxNGzaYo+R26iSFhEinTkmffmqOnlu5sjRggPT99+YdNUBhd/as9M9/mrfES9LYseZ/BEqUsLYuAN6DIGQj/v7SP/5h/jFYvlxKTDRDz6RJUr160l9/mSPrRkaaZ4tef11KSrK6aiB/Dh2SmjeXli6VAgKkd981f9bpIwfgUvyTYGP+/lKTJmYw+u03af16qV8/KSjInGdp2DDzLFF0tPTLL1ZXC+Terl1Ss2ZmP7gKFaTVq6W+fa2uCoA3IghBkuRwmAPJzZsnHTlidqa+8UZzvJV33pEaNpQeeEDau9fqSoEri483b48/cECqXdu8Uywy0uqqAHgrghCyKVNGeuwxacsWad06qXdvMygtWiTVrSuNGCGdPGl1lUB269ZJrVpJx4+bQ0WsXStFRFhdFQBvRhDCZTkc5uWFBQukTZvMCSidTumVV6SaNaUpU8x+RYA3WLFC6tDB7NfWvLkUFyeVL291VQC8HUEIuXLzzeYfmthYczkpSRozRqpTR5o/n/GIYK1Fi8zb4v/6S+rc2Zw0tVQpq6sCUBgQhJAn7dubHafffVcKD5cOHjQ7WP/jH9KOHVZXBzuaM0fq1cs8W/nAA+ZdYsHBVlcFoLAgCCHPihQx78DZuVOaPNn8n/fGjWafjBkzGIMInjNlivTQQ+bP3JAh0nvvmbfKA0BuEYSQb8WKSU8+KW3davbNuHBBevRRc7DGI0esrg6+7vnnzcuzkjRunDRzpuTnZ21NAAofghCu2XXXmf2H/vtfcwyi2FhzLqePPrK6MviqV16R/vMfc3nSJHPkaIfD0pIAFFIEIRQIh8McgHHTJnPMoVOnpB49zEtozGGGgjRnjjmEgyRNnGgOCAoA+UUQQoGqW1fasEH6v/8z+xK9957UoIG0Zo3VlcEXLFggDR5sLo8ebf6cAcC1IAihwPn7S888Yw5uV7OmeWdZ27bSG29YXRkKsyVLpP79zY7RjzxidtTnchiAa0UQgttERprTHfTuLaWnm3f1jBxpLgN5sWKF1LOn+bMTFWX2RyMEASgIBCG4VUiIeXnsmWfM19OnS/fdJ509a21dKDxWrzZ/ZpxOs9/ZW28xgzyAgsM/J3A7h8Psy7FwoRQYKH3+uTkFwsGDVlcGb/f999Jdd5lDM9x1lzmKObfIAyhIBCF4TM+e5v/uy5eXfv1VatJE+uknq6uCt9qyxZwu49w5s4/ZRx8xWCKAgkcQgkf94x/SDz+Y4wwdPSq1bCl98onVVcHbHDtmngE6fVpq2lT69FNzjCoAKGgEIXhctWrS+vXmCNR//SX985/Syy9bXRW8xV9/SV27Sn/8IV1/vfTZZ1Lx4lZXBcBXEYRgiZIlzb5Cw4aZr0eNMueNgr0ZhjRwoNk3qEwZ6YsvpHLlrK4KgC8jCMEyRYuat0Fn3lE2ZgxnhuxuwgSzU33RotLixVLt2lZXBMDXEYRguf/7P2n8eHN51CjzFnvYz4IFF0PxG29IrVtbWw8Aeyh6LW92Op1KSEjQ+fPnFRYWprJlyxZUXbCZ8ePNwfKee84cdNHPT3rsMaurgqesX29eEpOkJ5+8uAwA7pbnM0JnzpzRrFmzdMcdd6hkyZKqVq2abrjhBoWFhSkiIkKDBg3Sxo0b3VErfJjDYZ4N+Pe/zdePPy69/rq1NcEz9u41O0enpkr332/OJg8AnpKnIDRt2jRVq1ZNMTExateunZYuXar4+Hjt2rVLGzZs0Pjx45WWlqYOHTqoU6dO+v33391VN3yQw2GeERozxnw9bJg0a5a1NcG9Tp82b5P/80+pYUNzwERGjQbgSXm6NLZx40Z9++23qlevXo7bGzdurIEDB2r27NmKiYnR2rVrdf311xdIobAHh8M8I5CeLr30kjm5pp+f9NBDVleGgpaWZk6ZsX27VKWKeZt8cLDVVQGwmzwFoQ8++CBX+wUGBmrIkCH5KghwOMxb6dPTzY7TgwebdxHRb8S3PP20tHKlOUbQ559LlStbXREAO+IkNLySw2HeSv/44+brhx6SVq2ytiYUnK++utgXKCZGuuUWS8sBYGP5DkInT550LR88eFBPP/20Ro8erbVr1xZIYYDDYZ4R6tPHPDvUrZu0a5fVVeFaHTki9e1rLj/yiNS9u7X1ALC3PAeh3377TdWqVVP58uVVt25dxcfHq1GjRpo+fbrefPNNtW7dWkuXLnVDqbAjh0N66y1zjrJTp6S77zafUTilpUm9e0snTphngRhAE4DV8hyEnnzySdWvX1/ffvutWrVqpbvuuktdunRRUlKSTp06pcGDB+vFF190R62wqaAgaelSKTzcPCPUvbvkdFpdFfLjmWekNWukkBDpww+ZSBWA9fIchDZu3Kjnn39ezZo100svvaQjR47okUceUZEiRVSkSBE9+uij2rFjhztqhY1VqGDOO1W8uPTNN+Zgi4ZhdVXIi6+/NodHkKQ33zQnVAUAq+U5CCUmJqpixYqSpJCQEBUvXlxlypRxbS9TpozOnDlTcBUC/9OggfT+++blstmzGXCxMElIkP71LzO8Dhok9epldUUAYMpXZ2mHw3HF14C73HOPNHmyufz441JsrLX14OrS080O78eOSfXrS6++anVFAHBRvuYai4qKUmBgoCTpwoULGjJkiIoXLy5JSklJKbjqgByMGmUOwhcTYw7It2GDdMMNVleFy3n+eXPog+LFzX5BxYpZXREAXJTnINS/f/8sr//1r39l26dfv375rwi4CofDnHpj925p7VrzTrIffpDKlbO6Mvzd6tXSxInm8qxZUt26lpYDANnkOQjFxMS4ow4gTwIDpcWLpSZNpD17zFuyly9nnipv8uefZrtkZEgDBlwcOwgAvAl/NlBohYWZUzMUK2b2Ffrvf62uCJcaMUI6etS8bEnbAPBWeTojNHLkyFzvO23atDwXA+RVvXrStGnSww+bs9a3aWN2yIW1li+X3nvPPEM3d67ZPwgAvFGegtCmTZuyvP7ll1+UlpamOnXqSJJ27dolPz8/NWzYsOAqBK5i8GBp2TLz7FDv3tLGjQzUZ6UzZ8w2kcw7+xo3trYeALiSPAWhuLg41/K0adNUokQJzZs3zzWO0KlTpzRgwAC1aNGiYKsEriBzGo769aUtW6Rx48w5ymCNceOkgwel6tWlZ5+1uhoAuLJ89xF6+eWXNWnSpGyDKT733HN6mQmE4GHly5u300vSK68wvpBV1q2TZs40l+fM4ZIYAO+X7yCUnJysEydOZFt/4sQJRpaGJe68Uxo61FyOijLvWoLnXLggPfigOXr0wIFS27ZWVwQAV5fvIHTfffdpwIAB+uSTT3To0CEdOnRIixcvVnR0tO6///6CrBHItalTzbuUjh41p3JgPjLPefZZaedOqWJF6aWXrK4GAHIn30Fo9uzZ6ty5s3r37q2IiAhFRESod+/e6tSpk2ZmnhsHPKxYMXM+Mn9/c8b6t9+2uiJ7iI+Xpkwxl2fOlC65Yg4AXi3fQSg4OFgzZ87UyZMntWnTJm3atEmJiYmaOXOma7oNwAq33GJO6yCZdy39/rul5fi8tDQpOtp8/uc/pfvus7oiAMi9PAWhAwcOZFtXvHhxNWjQQA0aNMgWgA4fPnxt1QH59MQTUuvW0vnz5oSfTqfVFfmuadOkX36RSpeWZsywuhoAyJs8BaFGjRpp8ODB2rhx42X3SUpK0pw5c3TTTTdp8eLF11wgkB9Fikjz5pmXaDZulF54weqKfNPvv0vjx5vL06eb/YMAoDDJ0zhC27Zt0/PPP6/27dsrKChIDRs2VOXKlRUUFKRTp05p27Zt2rp1q2677TZNmTJFd955p7vqBq4qPNyc6POBB6RJk6R//UuqWdPqqnyHYZgd0i9ckNq3l/42HzMAFAp5OiNUrlw5TZs2TUePHtWMGTN0/fXX688//9Tv/+uE0adPH/3888/asGGDW0PQ/v37FR0drerVq6tYsWKqWbOmxo8fr9TU1Cz7bd68WS1atFBQUJDCw8M1JbM3J2yjRw/zj3RKijn3FQrOhx9Ka9ZIwcHSG2+YA1sCQGGT59nnJalYsWLq1q2bunXrVtD15MqOHTuUkZGhN954Q7Vq1dKWLVs0aNAgnTt3Ti/9777d5ORkdejQQe3atdPs2bP122+/aeDAgSpdurQeeughS+qG5zkc0muvmaNOf/659OWXUpcuVldV+KWkSGPHmstjx5qjSANAYZSvIGS1Tp06qVOnTq7XNWrU0M6dOzVr1ixXEFqwYIFSU1P1zjvvKCAgQPXq1VN8fLymTZtGELKZunXNs0FTp5p3kbVty1xk1+r116X9+6VKlaQ8zMUMAF6nUAahnCQlJals2bKu1xs2bFDLli0VEBDgWtexY0dNnjxZp06dyjI1yKVSUlKUkpLiep2cnCxJcjqdchbSW48y6y6s9ReEsWOlBQuKas8eh6ZMSde4cRmW1OELbXHqlPTcc0UlOTRhQpoCAoxCe1eeL7SHr6AtvIevtEVu6/eJILR7927997//dZ0NkqSEhARV/9v5+goVKri2XS4ITZo0SRMnTsy2PjY2VsHBwQVYteetXLnS6hIs9cAD12natNv1/POGKleOU1jYX5bVUpjbIiamnk6dqqWqVZMVGhqnZcusrujaFeb28DW0hfco7G1x/vz5XO3nVUFo7Nixmjx58hX32b59u+rWret6ffjwYXXq1Endu3fXoEGDrrmGcePGaeQl5/qTk5MVHh6uDh06qGTJktd8fCs4nU6tXLlS7du3l7+/v9XlWKZzZ2njxgytXVtUy5e308KF6R6vobC3xb590vLl5j8br78erI4dC/edoYW9PXwJbeE9fKUtMq/oXI1XBaEnnnhCUVFRV9ynRo0aruUjR46odevWatq0qd58880s+1WsWFHHjh3Lsi7zdcUrDHYSGBiowMDAbOv9/f0L9Q+E5Btfw7WaMUO67Tbpk0+KaM2aImrXzpo6CmtbjB8vpaZK7dpJXboU9Zk7xQpre/gi2sJ7FPa2yG3tXhWEwsLCFBYWlqt9Dx8+rNatW6thw4aKiYlRkSJZRwKIjIzUU089JafT6fpmrFy5UnXq1LnsZTH4vgYNzBnqX3tNevRR6ddfpUu6keEKNm6UFi4078SbOpXb5QH4hjwFoerVq8uRj3/9hg8frsceeyzP77ucw4cPq1WrVoqIiNBLL72kEydOuLZlnu3p3bu3Jk6cqOjoaI0ZM0ZbtmzRq6++qunTpxdYHSicJk40/6Dv2GEGolGjrK7I+xnGxe9Tv37mfG4A4AvyFITmzp2brw+pVq1avt53OStXrtTu3bu1e/duValSJcs2wzAkSaVKlVJsbKyGDh2qhg0bKjQ0VE8//TS3zkOlS0uTJ0sDBpihqHdvqXJlq6vybp99Jn37rTnswHPPWV0NABScPAWhO+64w1115ElUVNRV+xJJUoMGDbR27Vr3F4RCp18/czTk77+XRo+WFiywuiLv5XRKY8aYyyNGSH/7vwcAFGp5mmID8BVFipgdpx0O6f33zbMdyNlbb0k7d0qhoRcDEQD4CrcGoR9++MGdhweuScOGUuaV0rFjzX4wyCo5WZowwVyeMEEqVcrKagCg4Lk1CHXv3t2dhweu2fjxZr+XDRukb76xuhrvM2WKdPy4VLv2xdAIAL7kmm+f79GjR47rDcNQYmLitR4ecKtKlcw/8K+9ZnacbtuW28IzHT8uTZtmLr/4olSIhxMBgMu65iD09ddfa/78+QoJCcmy3jAMfUvHCxQCTz4pzZ4trVsnrVkjtWpldUXe4b//lf76S2rUSOra1epqAMA9rjkItWrVSiVKlFDLli2zbWvQoMG1Hh5wu+uukwYNMmdUnziRICRJZ8+a3w/J7CDNWTIAvuqa+wh98sknOYYgqfBP2Ab7GDPGvPSzejV3kEnmnWKnTknXX8/ZIAC+jbvGAEnh4VJ0tLn8zDPW1mI1p/Ni36BRoyQ/P2vrAQB34q4x4H/GjpWKFjXvHlu/3upqrLNwoXTwoFShgjnwJAD4Mu4aA/4nIkKKijIvCz37rLRihdUVeZ5hmLfMS9Ljj5tDCwCAL+OuMeAS//63FBMjffWV9MMPUpMmVlfkWcuXS1u2SCEh0sMPW10NALgfd40Bl6he3bwcFBNj9hX68kurK/KszLNBgwebk9MCgK/jrjHgb556yuwgvGyZ9NNPVlfjOT/8YI6j5O8vDR9udTUA4Bl5DkJbt27V7t273VEL4BVq1pT69DGX7XQHWebZoD59mGEegH3kOQiNHDlSM2fOzLLuyy+/VJ8+fTRixAjt37+/oGoDLPPUU+YM9Z9/Lm3aZHU17rdzp7Rkibk8erS1tQCAJ+U5CP3666/65z//6Xq9fft23XfffVqzZo3ee+89NW7cWEeOHCnQIgFPq11b6tXLXLbDWaGXXzbvGLv7bunGG62uBgA8J89BKCkpSeHh4a7X7777rmrUqKE//vhDhw4d0s0336wXX3yxQIsErPDUU+bUEkuXSr/+anU17nP0qDRvnrk8Zoy1tQCAp+U5CFWpUkVHjx51vf7mm2/UvXt3+fn5KTAwUOPGjVNsbGyBFglY4YYbpJ49zeWXX7a2Fnd67TUpNVVq2lRq1szqagDAs/IchNq1a6dp/xt//48//tAvv/yiDh06uLbXrFlTBw8eLLgKAQuNGGE+f/ihdPKktbW4Q3KyNGuWuczZIAB2lOcg9J///EdxcXGqUaOGIiMjFR4erubNm7u2Hzt2LNvgikBh1aiRdOutUkrKxctHvuTNN6WkJPPs1113WV0NAHhenoPQddddp40bN+q+++5T586d9cknn8jhcLi2r1q1SrVr1y7QIgGrOBwXR1iePdvsUOwr0tKkV14xl0ePNu+SAwC7ydfI0hEREXr5Mp0mtm3bluWuMqCw69VLeuIJ6fffpVWrpLZtra6oYCxbJh0+LJUvf3HcJACwmwL/P+C7776r4QxLCx8SEiL17Wsuz55tbS0F6e23zed+/aSAAGtrAQCr5OmMUPXq1bNcBsut4cOH67HHHsvz+wBvMWSINHOmeSv90aNSpUpWV3RtEhIuzqM2cKC1tQCAlfIUhObOnZuvD6lWrVq+3gd4i/r1zVvL1683z6T85z9WV3Rt3n1XSk+XIiPNjtIAYFd5CkJ33HGHu+oAvN7DD5tB6M03pXHjzIlZCyPDuHhZLDra2loAwGrcJwLk0j//KZUrJx08aHY0LqzWr5d27ZKKF5d69LC6GgCwFkEIyKWgIGnAAHM5cxDCwuidd8znHj2kEiWsrQUArEYQAvJg8GDzecUKad8+a2vJjzNnzFGyJS6LAYBEEALypFYtqX17s5/NnDlWV5N3ixZJ585JdeqYc4sBgN0RhIA8yhxp+u23zclKC5NLO0nnYyQMAPA5BCEgj+66S6pcWTp+XFqyxOpqcm/bNun778273TIHiAQAuyMIAXnk7y89+KC5XJg6TWd2kr7rLqliRWtrAQBvQRAC8mHQIHOS0jVrpO3bra7m6lJTzUEUJTpJA8ClCEJAPlSpIt19t7lcGOYf++IL6cQJ80xQ585WVwMA3oMgBORTZqfpefOk8+etreVqMi+L9e8vFc3TePIA4NsIQkA+tW8v1aghJSWZt6V7q8OHpeXLzWUmWAWArAhCQD4VKXKxv82CBdbWciXz5kkZGVKLFlLt2lZXAwDehSAEXIMHHjCf4+KkhARra8lJRsbFy2J0kgaA7AhCwDWoUUNq0sQMHJlTV3iTtWulPXvMOcW6dbO6GgDwPgQh4Br16mU+f/CBtXXkJHMk6QceMGebBwBkRRACrlGPHmZ/oe+/966JWM+dkxYvNpfpJA0AOSMIAdeoUiWpdWtzeeFCa2u51BdfmLf116xpXr4DAGRHEAIKQOblsffft7aOS2Xe0t+jBxOsAsDlEISAAnD//eYcZFu2mA+rJSdLy5aZyz17WlsLAHgzghBQAMqUuTh1hTd0mv78cyklRapTR2rQwOpqAMB7EYSAApJ5eWzhQskwrK0l87JYz55cFgOAKyEIAQXk7rul4GBp717pxx+tq+P0aWnFCnO5Rw/r6gCAwoAgBBSQ4sWle+81l628PLZ0qeR0SvXqmQ8AwOURhIAC1Lu3+bxokZSebk0NmSNc00kaAK6OIAQUoA4dzI7TCQnS6tWe//yTJ6WVK81lLosBwNURhIACFBBwcU4vKy6PLVkipaVJN99s3jEGALgyghBQwDLvHlu82LyF3ZMuvVsMAHB1BCGggLVsaU67cfq09NVXnvvcEyekVavMZS6LAUDuEISAAubnd/GMjCcvjy1eLGVkSA0bmvOLAQCujiAEuEHm5bFPP5XOnvXMZ3JZDADyjiAEuEGjRuZZmb/+kj77zP2fd/SotGaNucxlMQDIPYIQ4AYOx8WzQp64PLZ4sTmtR5MmUkSE+z8PAHwFQQhwk8wg9NVXUmKiez+Ly2IAkD8EIcBNbrzRnPnd6ZQ++sh9n3PokLRunbncvbv7PgcAfBFBCHCjvn3N53nz3PcZH39sPjdvLlWp4r7PAQBfRBAC3KhPH/N2+g0bpB073PMZmZfF6CQNAHlHEALcqFIlqVMnc9kdZ4X++EP6/nuzc3bm1B4AgNwjCAFuFhVlPr/7bsHPSJ850/wdd5ihCwCQNwQhwM3uvlsqW1Y6ckT65htHgR4789Z8LosBQP4QhAA3CwyUevc2l+fNK7hfuR9/lDZtyjrjPQAgbwhCgAdkXh777DOHzp71L5BjzphhPj/wgBQWViCHBADbIQgBHnDbbVL9+lJKikPr1l13zcc7fvzi3WJDh17z4QDAtghCgAc4HBfPCn3zTdVrPt7bb0upqeacZo0bX/PhAMC2CEKAh5hjChn6/fcy2rYt/8dJS5NmzTKXhw0rmNoAwK4IQoCHVKggde5sSJLmz8//r97nn0sHD0qhodwtBgDXiiAEeFC/fhmSpPffL6K0tPwdI7OT9KBBUlBQARUGADZFEAI86M47DZUokaKjRx2Kjc37+7dtk1atkooUkYYMKfj6AMBuCEKABwUESHfccUiSNHdu3t//+uvm8733SlWvvc81ANgeQQjwsDZtDkiSPv1USkzM/fuSk81pOiRumQeAgkIQAjysRo1kNWhgKDX14hQZufHuu9LZs1LdulKbNu6rDwDshCAEWCCz03RuL48ZxsVO0sOGmeMSAQCuHUEIsECvXhkqWlT66Sdpy5ar7//NN9LOnVKJElK/fu6vDwDsgiAEWCAsTLrrLnN53ryr7595Nqh/fzMMAQAKBkEIsEjmlBvz50tO5+X3++MPcxBFiU7SAFDQCEKARe680zwzdOyY2QF64kRp377s+82eLWVkSO3amfsBAApOoQ1C99xzj6pWraqgoCBVqlRJffv21ZEjR7Lss3nzZrVo0UJBQUEKDw/XlClTLKoWyM7fX3r1VfNS19690oQJUo0aUqtWUkyMdOaMdOGCNGeOuT/zigFAwSu0Qah169b68MMPtXPnTi1evFh79uxRt27dXNuTk5PVoUMHRURE6Oeff9bUqVM1YcIEvfnmmxZWDWTVq5eUkCC99555xsfhkNaskQYOlCpWlNq3l06eNAdPzOxTBAAoOEWtLiC/RowY4VqOiIjQ2LFj1bVrVzmdTvn7+2vBggVKTU3VO++8o4CAANWrV0/x8fGaNm2aHnroIQsrB7IKDjZnpu/Tx5xMdf58swP1rl3SunXmPg8/LPn5WVsnAPiiQhuELpWYmKgFCxaoadOm8vf3lyRt2LBBLVu2VEBAgGu/jh07avLkyTp16pTKlCmT47FSUlKUkpLiep2cnCxJcjqdcl6pR6sXy6y7sNbvS67WFhUrSqNHS6NGST/+6ND8+Q6dPu3QoEHpV+xQjfzhd8N70Bbew1faIrf1OwzDMNxci9uMGTNGM2bM0Pnz5/WPf/xDX3zxhcqVKydJ6tChg6pXr6433njDtf+2bdtUr149bdu2TTfccEOOx5wwYYImTpyYbf3777+v4OBg93whAACgQJ0/f169e/dWUlKSSpYsedn9vCoIjR07VpMnT77iPtu3b1fd/9068+effyoxMVF//PGHJk6cqFKlSumLL76Qw+HIdxDK6YxQeHi4/vzzzyt+I72Z0+nUypUr1b59e9cZM1iDtvAutIf3oC28h6+0RXJyskJDQ68ahLzq0tgTTzyhqMzBVS6jRo0aruXQ0FCFhoaqdu3auuGGGxQeHq7vv/9ekZGRqlixoo4dO5blvZmvK1aseNnjBwYGKjAwMNt6f3//Qv0DIfnG1+AraAvvQnt4D9rCexT2tsht7V4VhMLCwhQWFpav92ZkmHM3ZZ7NiYyM1FNPPeXqPC1JK1euVJ06dS7bPwgAANhLobx9/ocfftCMGTMUHx+vP/74Q6tWrVKvXr1Us2ZNRUZGSpJ69+6tgIAARUdHa+vWrVq0aJFeffVVjRw50uLqAQCAtyiUQSg4OFiffPKJ2rZtqzp16ig6OloNGjTQmjVrXJe1SpUqpdjYWO3bt08NGzbUE088oaeffppb5wEAgItXXRrLrfr162vVqlVX3a9BgwZau3atByoCAACFUaE8IwQAAFAQCEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2Cn0QSklJ0S233CKHw6H4+Pgs2zZv3qwWLVooKChI4eHhmjJlijVFAgAAr1Tog9CTTz6pypUrZ1ufnJysDh06KCIiQj///LOmTp2qCRMm6M0337SgSgAA4I2KWl3AtVi+fLliY2O1ePFiLV++PMu2BQsWKDU1Ve+8844CAgJUr149xcfHa9q0aXrooYcsqhgAAHiTQntG6NixYxo0aJDmz5+v4ODgbNs3bNigli1bKiAgwLWuY8eO2rlzp06dOuXJUgEAgJcqlGeEDMNQVFSUhgwZottvv1379+/Ptk9CQoKqV6+eZV2FChVc28qUKZPjsVNSUpSSkuJ6nZSUJElKTEyU0+ksoK/As5xOp86fP6+TJ0/K39/f6nJsjbbwLrSH96AtvIevtMWZM2ckmZnhSrwqCI0dO1aTJ0++4j7bt29XbGyszpw5o3HjxhV4DZMmTdLEiROzrf97qAIAAN7vzJkzKlWq1GW3O4yrRSUPOnHihE6ePHnFfWrUqKEePXro888/l8PhcK1PT0+Xn5+f+vTpo3nz5qlfv35KTk7W0qVLXfvExcWpTZs2SkxMzPUZoYyMDCUmJqpcuXJZPq8wSU5OVnh4uA4ePKiSJUtaXY6t0RbehfbwHrSF9/CVtjAMQ2fOnFHlypVVpMjlewJ51RmhsLAwhYWFXXW/1157Tc8995zr9ZEjR9SxY0ctWrRITZo0kSRFRkbqqaeektPpdJ3aW7lyperUqXPZECRJgYGBCgwMzLKudOnS+fhqvE/JkiUL9Q+1L6EtvAvt4T1oC+/hC21xpTNBmbwqCOVW1apVs7wOCQmRJNWsWVNVqlSRJPXu3VsTJ05UdHS0xowZoy1btujVV1/V9OnTPV4vAADwToUyCOVGqVKlFBsbq6FDh6phw4YKDQ3V008/za3zAADAxSeCULVq1XLsFd6gQQOtXbvWgoq8S2BgoMaPH5/tkh88j7bwLrSH96AtvIfd2sKrOksDAAB4UqEdUBEAAOBaEYQAAIBtEYQAAIBtEYQAAIBtEYQKuUmTJqlRo0YqUaKEypcvr65du2rnzp1XfM+cOXPUokULlSlTRmXKlFG7du30448/eqhi35WftrjUwoUL5XA41LVrV/cVaSP5bY/Tp09r6NChqlSpkgIDA1W7dm0tW7bMAxX7rvy2xSuvvKI6deqoWLFiCg8P14gRI3ThwgUPVOy7Zs2apQYNGrgGS4yMjNTy5cuv+J6PPvpIdevWVVBQkOrXr+9zvw8EoUJuzZo1Gjp0qL7//nutXLlSTqdTHTp00Llz5y77ntWrV6tXr16Ki4vThg0bFB4erg4dOujw4cMerNz35KctMu3fv1+jRo1SixYtPFCpPeSnPVJTU9W+fXvt379fH3/8sXbu3Kk5c+bouuuu82Dlvic/bfH+++9r7NixGj9+vLZv3663335bixYt0r///W8PVu57qlSpohdffFE///yzfvrpJ7Vp00b33nuvtm7dmuP+3333nXr16qXo6Ght2rRJXbt2VdeuXbVlyxYPV+5GBnzK8ePHDUnGmjVrcv2etLQ0o0SJEsa8efPcWJn95LYt0tLSjKZNmxpvvfWW0b9/f+Pee+/1TIE2k5v2mDVrllGjRg0jNTXVg5XZT27aYujQoUabNm2yrBs5cqTRrFkzd5dnO2XKlDHeeuutHLf16NHD6NKlS5Z1TZo0MQYPHuyJ0jyCM0I+JikpSZJUtmzZXL/n/PnzcjqdeXoPri63bfHMM8+ofPnyio6O9kRZtpWb9vjss88UGRmpoUOHqkKFCrrpppv0wgsvKD093VNl2kJu2qJp06b6+eefXZft9+7dq2XLlunOO+/0SI12kJ6eroULF+rcuXOKjIzMcZ8NGzaoXbt2WdZ17NhRGzZs8ESJHuETI0vDlJGRoeHDh6tZs2a66aabcv2+MWPGqHLlytl+2JF/uW2LdevW6e2331Z8fLznirOh3LbH3r17tWrVKvXp00fLli3T7t279cgjj8jpdGr8+PEerNh35bYtevfurT///FPNmzeXYRhKS0vTkCFDuDRWAH777TdFRkbqwoULCgkJ0ZIlS3TjjTfmuG9CQoIqVKiQZV2FChWUkJDgiVI9giDkQ4YOHaotW7Zo3bp1uX7Piy++qIULF2r16tUKCgpyY3X2kpu2OHPmjPr27as5c+YoNDTUg9XZT25/NzIyMlS+fHm9+eab8vPzU8OGDXX48GFNnTqVIFRActsWq1ev1gsvvKCZM2eqSZMm2r17tx5//HE9++yz+r//+z8PVeub6tSpo/j4eCUlJenjjz9W//79tWbNmsuGIZ9n9bU5FIyhQ4caVapUMfbu3Zvr90ydOtUoVaqUsXHjRjdWZj+5bYtNmzYZkgw/Pz/Xw+FwGA6Hw/Dz8zN2797toYp9W15+N1q2bGm0bds2y7ply5YZkoyUlBR3lWgbeWmL5s2bG6NGjcqybv78+UaxYsWM9PR0d5VoS23btjUeeuihHLeFh4cb06dPz7Lu6aefNho0aOCByjyDPkKFnGEYGjZsmJYsWaJVq1apevXquXrflClT9Oyzz2rFihW6/fbb3VylPeS1LerWravffvtN8fHxrsc999yj1q1bKz4+XuHh4R6q3Dfl53ejWbNm2r17tzIyMlzrdu3apUqVKikgIMCd5fq0/LTF+fPnVaRI1j9Rfn5+ruOh4GRkZCglJSXHbZGRkfrmm2+yrFu5cuVl+xQVSpbGMFyzhx9+2ChVqpSxevVq4+jRo67H+fPnXfv07dvXGDt2rOv1iy++aAQEBBgff/xxlvecOXPGii/BZ+SnLf6Ou8YKTn7a48CBA0aJEiWMYcOGGTt37jS++OILo3z58sZzzz1nxZfgM/LTFuPHjzdKlChhfPDBB8bevXuN2NhYo2bNmkaPHj2s+BJ8xtixY401a9YY+/btMzZv3myMHTvWcDgcRmxsrGEY2dth/fr1RtGiRY2XXnrJ2L59uzF+/HjD39/f+O2336z6EgocQaiQk5TjIyYmxrXPHXfcYfTv39/1OiIiIsf3jB8/3uP1+5L8tMXfEYQKTn7b47vvvjOaNGliBAYGGjVq1DCef/55Iy0tzbPF+5j8tIXT6TQmTJhg1KxZ0wgKCjLCw8ONRx55xDh16pTH6/clAwcONCIiIoyAgAAjLCzMaNu2rSsEGUbOvxMffvihUbt2bSMgIMCoV6+e8eWXX3q4avdyGAbnGAEAgD3RRwgAANgWQQgAANgWQQgAANgWQQgAANgWQQgAANgWQQgAANgWQQgAANgWQQgAClBqaqpq1aql7777zrIaxo4dq0cffdSyzwcKE4IQgMuKioqSw+HI9ti9e7fVpXmt2bNnq3r16mratGmW9XFxcbrrrrsUFhamoKAg1axZUz179tS3337r2mf16tVyOBw6ffp0tuNWq1ZNr7zySq5qGDVqlObNm6e9e/dey5cC2AJBCMAVderUSUePHs3yyGnSzNTUVAuq8y6GYWjGjBmKjo7Osn7mzJlq27atypUrp0WLFmnnzp1asmSJmjZtqhEjRhR4HaGhoerYsaNmzZpV4McGfA1BCMAVBQYGqmLFilkefn5+atWqlYYNG6bhw4e7/vBK0pYtW9S5c2eFhISoQoUK6tu3r/7880/X8c6dO6d+/fopJCRElSpV0ssvv6xWrVpp+PDhrn0cDoeWLl2apY7SpUtr7ty5rtcHDx5Ujx49VLp0aZUtW1b33nuv9u/f79oeFRWlrl276qWXXlKlSpVUrlw5DR06VE6n07VPSkqKxowZo/DwcAUGBqpWrVp6++23ZRiGatWqpZdeeilLDfHx8Vc8I/bzzz9rz5496tKli2vdgQMHNHz4cA0fPlzz5s1TmzZtFBERoQYNGujxxx/XTz/9lNumcJk7d26OZ+omTJjg2ufuu+/WwoUL83xswG4IQgDybd68eQoICND69es1e/ZsnT59Wm3atNGtt96qn376SStWrNCxY8fUo0cP13tGjx6tNWvW6NNPP1VsbKxWr16tX375JU+f63Q61bFjR5UoUUJr167V+vXrFRISok6dOmU5MxUXF6c9e/YoLi5O8+bN09y5c7OEqX79+umDDz7Qa6+9pu3bt+uNN95QSEiIHA6HBg4cqJiYmCyfGxMTo5YtW6pWrVo51rV27VrVrl1bJUqUcK1bvHixnE6nnnzyyRzf43A48vS1S1LPnj2znKH74IMPVLRoUTVr1sy1T+PGjXXo0KEs4RBADqyd8xWAN+vfv7/h5+dnFC9e3PXo1q2bYRjmLNW33nprlv2fffZZo0OHDlnWHTx40JBk7Ny50zhz5owREBBgfPjhh67tJ0+eNIoVK2Y8/vjjrnWSjCVLlmQ5TqlSpVyzlc+fP9+oU6eOkZGR4dqekpJiFCtWzPjqq69ctUdERGSZOb579+5Gz549DcMwjJ07dxqSjJUrV+b4tR8+fNjw8/MzfvjhB8MwDCM1NdUIDQ015s6de9nv1+OPP260adMmy7ohQ4YYJUuWzLLu448/zvI93bx5s2EYhhEXF2dIyrIt8+FwOIzp06dn+8zdu3cbZcuWNaZMmZJlfVJSkiHJWL169WXrBWAYRS1NYQC8XuvWrbP0NSlevLhruWHDhln2/fXXXxUXF6eQkJBsx9mzZ4/++usvpaamqkmTJq71ZcuWVZ06dfJU06+//qrdu3dnOfMiSRcuXNCePXtcr+vVqyc/Pz/X60qVKum3336TZF7m8vPz0x133JHjZ1SuXFldunTRO++8o8aNG+vzzz9XSkqKunfvftm6/vrrLwUFBWVb//ezPh07dlR8fLwOHz6sVq1aKT09Pcv2tWvXZvvaWrVqle24SUlJuuuuu9SlSxeNHj06y7ZixYpJks6fP3/ZegFIBCEAV1S8ePHLXgq6NBRJ0tmzZ3X33Xdr8uTJ2fatVKlSru82czgcMgwjy7pL+/acPXtWDRs21IIFC7K9NywszLXs7++f7bgZGRmSLgaFK3nwwQfVt29fTZ8+XTExMerZs6eCg4Mvu39oaKgraGW6/vrrlZSUpISEBFWsWFGSFBISolq1aqlo0Zz/Ca5evbpKly6dZd3f901PT1fPnj1VsmRJvfnmm9mOkZiYKCnr9wNAdvQRAlBgbrvtNm3dulXVqlVTrVq1sjyKFy+umjVryt/fXz/88IPrPadOndKuXbuyHCcsLExHjx51vf7999+znNm47bbb9Pvvv6t8+fLZPqdUqVK5qrV+/frKyMjQmjVrLrvPnXfeqeLFi2vWrFlasWKFBg4ceMVj3nrrrdqxY0eWENetWzf5+/vnGA6vxYgRI/Tbb79p6dKlOZ6F2rJli/z9/VWvXr0C/VzA1xCEABSYoUOHKjExUb169dLGjRu1Z88effXVVxowYIDS09MVEhKi6OhojR49WqtWrdKWLVsUFRWlIkWy/lPUpk0bzZgxQ5s2bdJPP/2kIUOGZDm706dPH4WGhuree+/V2rVrtW/fPq1evVqPPfaYDh06lKtaq1Wrpv79+2vgwIFaunSp6xgffvihax8/Pz9FRUVp3Lhxuv766xUZGXnFY7Zu3Vpnz57V1q1bXeuqVq2ql19+Wa+++qr69++vuLg47d+/X7/88otee+011+fkRUxMjGbOnKnZs2fL4XAoISFBCQkJOnv2rGuftWvXqkWLFrk68wXYGUEIQIGpXLmy1q9fr/T0dHXo0EH169fX8OHDVbp0aVfYmTp1qlq0aKG7775b7dq1U/PmzbP1NXr55ZcVHh6uFi1aqHfv3ho1alSWS1LBwcH69ttvVbVqVd1///264YYbFB0drQsXLqhkyZK5rnfWrFnq1q2bHnnkEdWtW1eDBg3SuXPnsuwTHR2t1NRUDRgw4KrHK1eunO67775sl+weffRRxcbG6sSJE+rWrZuuv/563Xnnndq3b59WrFih+vXr57pmSVqzZo3S09N1zz33qFKlSq7Hpbf7L1y4UIMGDcrTcQE7chh/vxAPAB7WqlUr3XLLLbkeOdmT1q5dq7Zt2+rgwYOqUKHCVfffvHmz2rdvrz179uTYadwTli9frieeeEKbN2++bD8kACbOCAFADlJSUnTo0CFNmDBB3bt3z1UIkqQGDRpo8uTJ2rdvn5srvLxz584pJiaGEATkAr8lAJCDDz74QNHR0brlllv07rvv5um9UVFR7ikql7p162bp5wOFCZfGAACAbXFpDAAA2BZBCAAA2BZBCAAA2BZBCAAA2BZBCAAA2BZBCAAA2BZBCAAA2BZBCAAA2BZBCAAA2Nb/Ay44VjORxHpvAAAAAElFTkSuQmCC",
       "text/plain": [
        "
"
       ]
@@ -874,8 +979,8 @@
    ],
    "source": [
     "# Plot the reflection coefficient using the scattering parameter computed by the TerminalComponentModeler\n",
-    "freq = s_matrix.f / 1e9\n",
-    "s_11 = 20 * np.log10(np.abs(s_matrix.isel(port_out=0, port_in=0).values.flatten()))\n",
+    "freq = s_matrix.data.f / 1e9\n",
+    "s_11 = 20 * np.log10(np.abs(s_matrix.data.isel(port_out=0, port_in=0).values.flatten()))\n",
     "plt.plot(freq, s_11, \"-b\")\n",
     "plt.xlabel(\"Frequency (GHz)\")\n",
     "plt.ylabel(r\"$|S_{11}|$ (dB)\")\n",
@@ -898,12 +1003,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjIAAAHHCAYAAACle7JuAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjMsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvZiW1igAAAAlwSFlzAAAPYQAAD2EBqD+naQAAUb5JREFUeJzt3XdYU+ffBvA7hClDZaioqLgnbi1ucdZdfyqOKqh14h6t9tXiqLPWVWddWBeu2to6qeLWuhV3EaijjuIABIUYzvvHIygFFGLIyUnuz3XlyuFwknzjQbjznGeoJEmSQERERKRAFnIXQERERKQrBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIyqKioKKhUKgQFBWX7sUFBQVCpVIiKisqR2rJKpVJh0qRJstZARAKDDBFlyZIlS6BSqVC7dm25SzGI3bt3M6wQKYCl3AUQkTJs2LABxYoVw+nTpxEeHo6SJUvq9DxFixbFy5cvYWVlpfca9Wn37t1YvHhxhmHm5cuXsLTkr08iY8AWGSL6oMjISJw4cQJz586Fm5sbNmzYoPNzqVQq2NraQq1W67XGD4mPj9fbc9na2jLIEBkJBhki+qANGzYgb968aN26NTp16pRhkAkMDISFhQUOHDiQZn///v1hbW2NS5cuAZn0kbl8+TL8/f1RvHhx2NraokCBAujTpw+ePHmiU73+/v5wcHDA7du30apVKzg6OqJHjx4AgKNHj6Jz584oUqQIbGxs4OHhgZEjR+Lly5dpHr948WLgTfBKuaXIqI/MhQsX8Omnn8LJyQkODg5o0qQJTp06pVP9RJR1/EhBRB+0YcMGdOzYEdbW1ujWrRuWLl2KM2fOoGbNmqnHTJgwAb/99hv69u2LsLAwODo6Yt++fVixYgWmTp2KypUrZ/r8ISEhiIiIQO/evVGgQAFcvXoVP/74I65evYpTp06lCRFZ9fr1a7Ro0QL16tXDnDlzkCtXLgDA1q1bkZCQgEGDBsHFxQWnT5/GDz/8gHv37mHr1q0AgAEDBuCff/5BSEgI1q1b98HXunr1KurXrw8nJyd8+eWXsLKywvLly9GoUSMcPnzYbPoVEclCIiJ6j7Nnz0oApJCQEEmSJCk5OVkqXLiwNHz48HTHhoWFSdbW1tIXX3whPXv2TCpUqJBUo0YNSaPRpB4TGRkpAZDWrFmTui8hISHdc23atEkCIB05ciR135o1ayQAUmRk5Htr9vPzkwBI48aNS/e9jF5rxowZkkqlkv7+++/UfQEBAVJmvyIBSIGBgalfd+jQQbK2tpZu376duu+ff/6RHB0dpQYNGry3ViL6OLy0RETvtWHDBuTPnx+NGzcG3lxW8fX1RXBwMLRabZpjK1asiMmTJ2PlypVo0aIFoqOjsXbt2g/2J7Gzs0vdfvXqFaKjo/HJJ58AAM6fP69z7YMGDXrva8XHxyM6Ohp16tSBJEm4cOFCtl9Dq9Vi//796NChA4oXL566393dHd27d8exY8cQGxur83sgovdjkCGiTGm1WgQHB6Nx48aIjIxEeHg4wsPDUbt2bTx69ChdfxgAGDt2LCpXrozTp08jMDAQ5cuX/+DrPH36FMOHD0f+/PlhZ2cHNzc3eHp6AgBiYmJ0qt3S0hKFCxdOt//OnTvw9/eHs7MzHBwc4ObmhoYNG+r8Wv/++y8SEhJQpkyZdN8rV64ckpOTcffuXZ3eAxF9GPvIEFGmDh48iAcPHiA4OBjBwcHpvr9hwwY0b948zb6IiAj89ddfAICwsLAsvU6XLl1w4sQJjB07FlWqVIGDgwOSk5PRsmVLJCcn61S7jY0NLCzSflbTarVo1qwZnj59iq+++gply5aFvb097t+/D39/f51fi4jkwyBDRJnasGED8uXLlzqC510///wzduzYgWXLlqVerklOToa/vz+cnJwwYsQITJ8+HZ06dULHjh0zfY1nz57hwIEDmDx5Mr755pvU/SlhSJ/CwsJw69YtrF27Fr169UrdHxISku7YrHYwdnNzQ65cuXDz5s1037tx4wYsLCzg4eHxkZUTUWYYZIgoQy9fvsTPP/+Mzp07o1OnTum+X7BgQWzatAk7d+6Er68vAGDu3Lk4ceIEdu7cidatW+PQoUMYNGgQGjRoAFdX1wxfJ2U+GdGH9q358+fr/T1l9FqSJGHBggXpjrW3twcAPH/+HHny5HnvczZv3hy//voroqKiUKxYMQDAo0ePsHHjRtSrVw9OTk56fy9EJDDIEFGGdu7cibi4OLRr1y7D73/yySepk+P5+vri+vXrmDhxIvz9/dG2bVvgzdpIVapUweDBg7Fly5YMn8fJyQkNGjTA7NmzodFoUKhQIezfvx+RkZF6f09ly5ZFiRIlMGbMGNy/fx9OTk7Yvn07nj17lu7Y6tWrAwCGDRuGFi1aQK1Wo2vXrhk+77fffouQkBDUq1cPgwcPhqWlJZYvX47ExETMnj1b7++DiN5iZ18iytCGDRtga2uLZs2aZfh9CwsLtG7dGnv37sWTJ0/g5+cHV1fXNC0ppUqVwowZM7B169ZMgwwAbNy4ES1atMDixYsxfvx4WFlZYc+ePXp/T1ZWVvjtt99QpUoVzJgxA5MnT0apUqXw008/pTu2Y8eOGDp0KPbu3YuePXuiW7dumT5vhQoVcPToUVSsWDH1eYsWLYrQ0FDOIUOUw1TSf9tziYiIiBSCLTJERESkWAwyREREpFgMMkRERKRYsgaZI0eOoG3btihYsCBUKhV++eWX1O9pNBp89dVXqFSpEuzt7VGwYEH06tUL//zzj5wlExERkRGRNcjEx8ejcuXKGU62lZCQgPPnz2PixIk4f/48fv75Z9y8eTPToaBERERkfoxm1JJKpcKOHTvQoUOHTI85c+YMatWqhb///htFihQxaH1ERERkfBQ1IV5MTAxUKtV7Z9lMTExEYmJi6tfJycl4+vQpXFxcsjzlOBEREclLkiTExcWhYMGC6dZNe5digsyrV6/w1VdfoVu3bu+d7jtlMioiIiJSvrt372a4kn0KRVxa0mg0+N///od79+7h0KFD7w0y/22RiYmJQZEiRRAZGQlHR8ccqz+naTQahIaGonHjxrCyspK7HLPGc2E8eC6MB8+F8TCVcxEXFwdPT088f/4cuXPnzvQ4o2+R0Wg06NKlC/7++28cPHjwg4uv2djYwMbGJt1+Z2dnRS/cptFokCtXLri4uCj6B9MU8FwYD54L48FzYTxM5Vyk1P6hbiFGHWRSQsxff/2F0NBQuLi4yF0SERERGRFZg8yLFy8QHh6e+nVkZCQuXrwIZ2dnuLu7o1OnTjh//jx+//13aLVaPHz4EHjTumJtbS1j5URERGQMZA0yZ8+eRePGjVO/HjVqFADAz88PkyZNws6dOwEAVapUSfO40NBQNGrUyMDVEhERkbGRNcg0atQI7+trbCT9kImIiMhIca0lIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLAYZIiIiUiwGGSIiIlIsBhkiIiJSLKMPMnFxcRgxYgSKFi0KOzs71KlTB2fOnJG7LCIiIjICRh9kvvjiC4SEhGDdunUICwtD8+bN0bRpU9y/f1/u0oiIiEhmRh1kXr58ie3bt2P27Nlo0KABSpYsiUmTJqFkyZJYunSp3OURERGRzIw6yLx+/RparRa2trZp9tvZ2eHYsWOy1UVERETGwVLuAt7H0dER3t7emDp1KsqVK4f8+fNj06ZNOHnyJEqWLJnhYxITE5GYmJj6dWxsLABAo9FAo9EYrHZ9S6ldye/BVPBcGA+eC+PBc2E8TOVcZLV+lSRJUo5X8xFu376NPn364MiRI1Cr1ahWrRpKly6Nc+fO4fr16+mOnzRpEiZPnpxu/8aNG5ErVy4DVU1EREQfIyEhAd27d0dMTAycnJwyPc7og0yK+Ph4xMbGwt3dHb6+vnjx4gV27dqV7riMWmQ8PDwQHR393n8IY6fRaBASEoJmzZrByspK7nLMGs+F8eC5MB48F8bDVM5FbGwsXF1dPxhkjPrS0rvs7e1hb2+PZ8+eYd++fZg9e3aGx9nY2MDGxibdfisrK0Wf0BSm8j5MAc+F8eC5MB48F8ZD6eciq7UbfZDZt28fJElCmTJlEB4ejrFjx6Js2bLo3bu33KURERGRzIx61BIAxMTEICAgAGXLlkWvXr1Qr1497Nu3T9Epk4iIiPTD6FtkunTpgi5dushdBhERERkho2+RISIiIsoMgwwREREpFoMMERERKRaDDBERESkWgwwREREpFoMMERERKRaDDBERESkWgwwREREpFoMMERERKRaDDBERESkWgwwREREpFoMMERERKRaDDBERESkWgwwREREpFoMMERERKRaDDBERESkWgwwREREpFoMMERERKRaDDBERESkWgwwREREpFoMMERERKRaDDBERESkWgwwREREpFoMMERERKRaDDBERESkWgwwREREpFoMMERERKRaDDBERESkWgwwREREpFoOMAuzbB7Rrp8aVKy5yl0JERGRUGGQUYMcOYO9eC+zZ4yl3KUREREaFQUYBBg0S96dOuePhQ7mrISIiMh4MMgpQuTLwySfJ0GotsGYNTxkREVEK/lVUiP79kwEAK1daQKuVuxoiIiLjwCCjEJ06SXB0TMTduyrs2iV3NURERMZB5yBz584dHD16FPv27cP58+eRmJio38ooDVtboEmTOwCApUvlroaIiMg4ZCvIREVF4auvvkLRokXh6emJhg0b4tNPP0WNGjWQO3duNGvWDFu3bkVycnLOVWzGWrT4G3gzHDsiQu5qiIiI5JflIDNs2DBUrlwZkZGR+Pbbb3Ht2jXExMQgKSkJDx8+xO7du1GvXj1888038PLywpkzZ3K2cjPk7h6PZs2SIUnA8uVyV0NERCQ/y6weaG9vj4iICLi4pJ+ULV++fPDx8YGPjw8CAwOxd+9e3L17FzVr1tR3vWavf/9khIRYYPVqYMoUwMZG7oqIiIjkk+UgM2PGjCw/acuWLXWthz6gdWsJhQsD9+4B27YBPXrIXREREZF89DJqKSkpCS9evNDHU9EHWFoC/fqJbXb6JSIic5ftILNmzRoMHToUGzZsAACMHz8ejo6OqZ19nzx5khN10ju++AJQq4Hjx4GwMLmrISIikk+2gsy0adMQEBCAGzduYNiwYRg0aBCCgoIwZcoUzJw5Ezdu3MCECRNyrloCABQsCHToILbZKkNEROYsy31kACAoKAirVq1Ct27dcPbsWdSuXRtbtmzB//73PwBAxYoVMXDgwJyqld4xaBCwfTuwbh0waxbg6Ch3RURERIaXrRaZO3fuoF69egCAGjVqwNLSEhUrVkz9vpeXFx48eKD/KikdHx+gdGngxQvgzVU+IiIis5OtIKPRaGDzznhfa2trWFlZpX5taWkJLRcCMgiVCkhp/Fq6FJAkuSsiIiIyvGxdWgKAa9eu4eHDhwAASZJw48aN1BFL0dHR+q+QMuXnB3z9NXD5MnDyJFCnjtwVERERGVa2g0yTJk0gvfPxv02bNgAAlUoFSZKgUqn0WyFlytkZ6NoVCAoSrTIMMkREZG6yFWQiIyNzrhLSyaBBIshs2QLMmwe4uspdERERkeFkK8gULVo05yohndSsCVSrBpw/D6xeDXz5pdwVERERGU6Wg8zly5ez/KReXl661kPZpFIBAQFA377i8tLo0WKyPCIiInOQ5SBTpUqVLPeD4cglw+rWDRg7FoiKAnbvBtq2lbsiIiIiw8jy8OvIyEhEREQgMjIS27dvh6enJ5YsWYILFy7gwoULWLJkCUqUKIHt27fnbMWUjp2daJEBgEWL5K6GiIjIcLLcIvNu/5jOnTtj4cKFaNWqVeo+Ly8veHh4YOLEieiQMn8+GcygQcCcOcD+/cDNm0CZMnJXRERElPN0Wv06LCwMnp6e6fZ7enri2rVr+qiLssnTE3gzEh5LlshdDRERkWHoFGTKlSuHGTNmICkpKXVfUlISZsyYgXLlyumzPsqGIUPEfVAQEBcndzVEREQ5L9sT4gHAsmXL0LZtWxQuXDh1hNLly5ehUqnw22+/6btGyqKmTcX6S7duAevXi8tNREREpkynFplatWohIiIC3377Lby8vODl5YVp06YhIiICtWrV0n+VlCUWFmIoNt50+uX6S0RE5mfOHAvMnl0Dp06Zx0z7OrXIAIC9vT369++v32roo6Wsv3TtGnDoENC4sdwVERGRoUgSsHq1BcLDCyE8/DXq15e7opyX5RaZU6dOZflJExIScPXqVV1roo+QOzfQq5fY5lBsIiLzcuoUEB6ugq3ta3ToYB7N8lkOMj179kSLFi2wdetWxMfHZ3jMtWvX8PXXX6NEiRI4d+6cPuukbEi5vPTLL8CdO3JXQ0REhvLTT+Le2/sfODjIXY1hZDnIXLt2Da1bt8aECROQJ08eVKhQAc2aNUPbtm1Rr149uLq6olq1aoiMjMT+/fvRK6VZgAyuQgVxSSk5GVi+XO5qiIjIEBITgeBgsd2o0V25yzGYLAcZKysrDBs2DDdv3sTJkyfRr18/VKxYEYUKFUKjRo2wfPly/PPPP9i0aRMqVaqUs1XTB6UMxf7xR+DVK7mrISKinPb778Dz50DhwhIqVoyWuxyD0amzb40aNVCjRg39V0N6064dULgwcO8esHUr0LOn3BUREVFOWrtW3HfrlmxWiwfrNPyajJ+l5dt5ZNjpl4jItD1+DOzZI7Z79EiWuxyDYpAxYV98AVhbA6dPixsREZmm4GDg9WugRg2gfHm5qzEsBhkTli8f4OsrthcvlrsaIiLKKSmjlcxxnA2DjIlL6fQbHAz8+6/c1RARkb5dvQqcOye6FHTtKnc1hscgY+Jq1QJq1gSSkoAVK+SuhoiI9G3dOnHfqhXg5iZ3NYanc5A5fPgw2rZti5IlS6JkyZJo164djh49qt/qSC+GDhX3ixcDGo3c1RARkb5otWKRYJjpZSXoGmTWr1+Ppk2bIleuXBg2bBiGDRsGOzs7NGnSBBs3btR/lfRRunQBChQA/vkH2LZN7mqIiEhfQkOB+/eBvHmBNm3krkYeOgWZadOmYfbs2di8eXNqkNm8eTNmzpyJqVOn6r9K+ig2Nm+HYi9YIHc1RESkLymdfLt2Fb/rzZFOQSYiIgJt27ZNt79du3aIjIzUR12kZwMGiKHYf/4pbkREpGwvXgDbt4ttc72sBF2DjIeHBw4cOJBu/x9//AEPDw991EV6lj8/0K2b2GarDBGR8v38M5CQAJQqBdSuLXc18tFpiYLRo0dj2LBhuHjxIurUqQMAOH78OIKCgrCAfyWN1vDhYgrrrVuB774DChWSuyIiItLVu3PHqFRyVyMfnYLMoEGDUKBAAXz//ffYsmULAKBcuXLYvHkz2rdvr+8aSU+qVgUaNACOHAGWLAGmTZO7IiIi0sXdu8DBg2L788/lrkZeOgUZAPjss8/w2Wef6bcaynHDh4sgs3w5MGECYGcnd0VERJRdGzYAkgQ0bAgUKyZ3NfLihHhmpn17oGhR4MkTgCPliYiUR5LMe0mC/8pykHF2dkZ0dDQAIG/evHB2ds70RsZLrX67bMGCBeI/BBERKce5c8D164CtLdCpk9zVyC/Ll5bmzZsHR0fH1G2VOfcsUri+fYHAQCAsDDh0CGjcWO6KiIgoq9auFfeffQY4OcldjfyyHGT8/PxSt/39/XOqHjKAvHkBPz9g6VJg/nwGGSIipUhKAjZtEtu8rCTo1EdGrVbj8ePH6fY/efIEarVaH3VRDhs2TNz/9htw+7bc1RARUVbs2iX6OLq7A82ayV2NcdApyEiZdKxITEyEtbX1x9aUxv379/H555/DxcUFdnZ2qFSpEs6ePavX1zBHZcsCLVuKPjKLFsldDRERZUXKZaWePUWfR8rm8OuFCxcCAFQqFVauXAkHB4fU72m1Whw5cgRly5bVW3HPnj1D3bp10bhxY+zZswdubm7466+/kDdvXr29hjkbPhzYuxdYvRqYMgV40wWKiIiM0L//ihYZQHQPICFbQWbevHnAmxaZZcuWpbmMZG1tjWLFimHZsmV6K27WrFnw8PDAmjVrUvd5enrq7fnNXfPmQJkywM2bQFAQMHSo3BUREVFmNm4EXr8GatQAypeXuxrjka0gk7IgZOPGjfHzzz/neMvIzp070aJFC3Tu3BmHDx9GoUKFMHjwYPTr1y/TxyQmJiIxMTH169jYWACARqOBRqPJ0XpzUkrt+n4PAQEWGDZMjYULJfTv/xoWnFnog3LqXFD28VwYD56LnBcUZAlAhZ49tdBokjM9zlTORVbrV0mZdXgxAra2tgCAUaNGoXPnzjhz5gyGDx+OZcuWpRlF9a5JkyZh8uTJ6fZv3LgRuXLlyvGaleblSzW++KI54uOt8fXXp1Cr1iO5SyIiov+IinLCiBGNYWmZjNWr98LJSdkhJSsSEhLQvXt3xMTEwOk948x1DjL37t3Dzp07cefOHSQlJaX53ty5c3V5ynSsra1Ro0YNnDhxInXfsGHDcObMGZw8eTLDx2TUIuPh4YHo6Oj3/kMYO41Gg5CQEDRr1gxWVlZ6fe5x4ywwd64ajRolY/9+rV6f2xTl5Lmg7OG5MB48Fznryy8tMH++Gh06JGPLlvf/njaVcxEbGwtXV9cPBhmd1lo6cOAA2rVrh+LFi+PGjRuoWLEioqKiIEkSqlWr9jF1p+Hu7o7y/7kQWK5cOWzfvj3Tx9jY2MDGxibdfisrK0Wf0BQ58T5GjAAWLgQOHbLAlSsWqFpVr09vskzlZ8oU8FwYD54L/Xv9+u3cMb17W8DKKmt9AJR+LrJau049IsaPH48xY8YgLCwMtra22L59O+7evYuGDRuic+fOujxlhurWrYubN2+m2Xfr1i0ULVpUb69BgIcH0KWL2NZTYxoREenJvn3Ao0eAmxvw6adyV2N8dAoy169fR683UwpaWlri5cuXcHBwwJQpUzBr1iy9FTdy5EicOnUK06dPR3h4ODZu3Igff/wRAQEBensNEkaOFPfBwcC9e3JXQ0REKYKCxH2PHoCCG1hyjE5Bxt7ePrVfjLu7O26/MzVsysKS+lCzZk3s2LEDmzZtQsWKFTF16lTMnz8fPXr00NtrkFCjBtCggWjC5AR5RETG4elTYOdOsc25YzKmUx+ZTz75BMeOHUO5cuXQqlUrjB49GmFhYfj555/xySef6LXANm3aoE2bNnp9TsrY6NHAkSPA8uXAhAnAO/MdEhGRDDZvFusreXkBVarIXY1x0qlFZu7cuahduzYAYPLkyWjSpAk2b96MYsWKYdWqVfqukQykTRugVCng+XPgnTkIiYhIJilLEnCt5sxlu0VGq9Xi3r178PLyAt5cZtLnbL4kHwsL0Vdm8GCxKvbgwVzLg4hILjduAH/+KX4Pd+8udzXGK9stMmq1Gs2bN8ezZ89ypiKSlZ8f4OwMREQAv/4qdzVEROYrpTXm00+B/PnlrsZ46XRpqWLFioiIiNB/NSS7XLmAQYPENodiExHJQ6sF1q0T27ys9H46BZlvv/0WY8aMwe+//44HDx4gNjY2zY2ULSBADPE7flw0axIRkWEdPAjcvw/kzSv6L1LmdBq11KpVKwBAu3btoFKpUvdLkgSVSgWtltPcK5m7u7geu3ataJXZvFnuioiIzEvK3DHdugEZTFZP79ApyISGhuq/EjIqo0aJILNtGxAVBRQrJndFRETmITYW2LFDbHPumA/TKcg0bNhQ/5WQUfHyApo2Bf74Q6zDxP4yRESGsXUr8PIlUK4cULOm3NUYP536yJB5GD1a3K9cCcTEyF0NEZF5SJnHy88PeKf3BmWCQYYy1aIFUL48EBcnwgwREeWsW7fEQAsLC6BnT7mrUQYGGcqUSiX6ygDAggViHSYiIso5KZ18W7YEChaUuxplYJCh9+rRQywdf/cusGWL3NUQEZkurRb46Sex3bu33NUoB4MMvZetLTB0qNj+7jtAkuSuiIjINIWEiLljnJ2Btm3lrkY5sjxqqWrVqmnmjHmf8+fPf0xNZGQGDwZmzgQuXhSjmJo1k7siIiLTk9LJt0cPzh2THVkOMh06dMjZSshoubgAX3whhmHPns0gQ0Skb0+fAr/8IrZ5WSl7shxkAgMDc7YSMmojRwKLF4sWmfPngWrV5K6IiMh0bNwIJCUBVaoAVavKXY2ysI8MZUmxYkDXrmL7u+/kroaIyLSkXFZia0z26RRktFot5syZg1q1aqFAgQJwdnZOcyPTNHasuN+yBYiMlLsaIiLTcPmyaOm2shLr3FH26BRkJk+ejLlz58LX1xcxMTEYNWoUOnbsCAsLC0yaNEn/VZJRqFxZTJKXnMwlC4iI9CWlNaZdO8DVVe5qlEenILNhwwasWLECo0ePhqWlJbp164aVK1fim2++walTp/RfJRmNL78U96tWAdHRcldDRKRsSUnA+vVim5eVdKNTkHn48CEqVaoEAHBwcEDMm4V42rRpg127dum3QjIqjRsD1auLBc0WL5a7GiIiZdu1S3wodHcXLd6UfToFmcKFC+PBgwcAgBIlSmD//v0AgDNnzsCGg99Nmkr1tlXmhx+AhAS5KyIiUq7Vq8V9z56AZZbHEdO7dAoyn332GQ4cOAAAGDp0KCZOnIhSpUqhV69e6NOnj75rJCPTsSNQvDjw5Mnba7tERJQ9Dx8Ce/aIbV5W0p1O+W/mzJmp276+vihSpAhOnjyJUqVKoS3nVTZ5lpbA6NFAQADw/ffAgAH8JEFElF3r1on1lby9gbJl5a5GufTy58fb2xve3t76eCpSCH9/IDBQDMPevh3w9ZW7IiIi5ZAkzh2jL1kOMjt37sSnn34KKysr7Ny5873HtmvXTh+1kRHLlUssJhkYCMyaBXTpIvrPEBHRh50+DVy/DtjZ8YPgx8rWWksPHz5Evnz53rvukkqlglar1Vd9ZMQCAkSIuXABOHAAaNpU7oqIiJQhpTXmf/8DnJzkrkbZstzZNzk5Gfny5UvdzuzGEGM+XFyAvn3F9uzZcldDRKQMCQnApk1im5eVPp7e11pK4HhcszJqFKBWAyEhYoptIiJ6vx07gNhYsYZdo0ZyV6N8OgWZJk2a4P79++n2//nnn6hSpYo+6iKFKFbs7fXddwazERFRJlLmjvHzAyy4dPNH0+mf0NbWFl5eXti8eTPw5lLTpEmTUL9+fbRq1UrfNZKRGz9e3G/bBty8KXc1RETG6/Zt4OBBMTiC067ph07Dr3ft2oXFixejT58++PXXXxEVFYW///4bv//+O5o3b67/KsmoVawItG8P/PqraJXhJHlERBlLaY1p3hwoUkTuakyDzo1aAQEBGDZsGIKDg3H27Fls3bqVIcaMpbTKrF8P/P233NUQERmf16/fftD74gu5qzEdOgWZZ8+e4X//+x+WLl2K5cuXo0uXLmjevDmWLFmi/wpJEWrXBpo0Ef9R58yRuxoiIuOzZw/w4AHg6gpwujX90SnIVKxYEY8ePcKFCxfQr18/rF+/HqtWrcLEiRPRunVr/VdJivD11+J+5Urg0SO5qyEiMi6rVol7Pz/A2lruakyHTkFm4MCBOHLkCDw9PVP3+fr64tKlS0hKStJnfaQgjRuLlplXr4D58+WuhojIeDx4APz+u9hOmX+L9EOnIDNx4kRYZDBmrHDhwpg7d64+6iIFUqnetsosXgw8fy53RURExmHtWrFAZJ06QLlycldjWvQygj0uLg4//vgjatWqxXlkzFybNmIUU1ycCDNEROZOksQld7CTb474qCBz5MgR+Pn5wd3dHXPmzIGPjw9OnTqlv+pIcSws3o5gmj8fiI+XuyIiInkdPizmj3F0BDp3lrsa05PtIPPw4UPMnDkTpUqVQufOneHk5ITExET88ssvmDlzJmrWrJkzlZJidOkClCgBREe//RRCRGSuUjr5dusGODjIXY3pyVaQadu2LcqUKYPLly9j/vz5+Oeff/DDDz/kXHWkSJaWwFdfie3vvgMSE+WuiIhIHs+eiVnPwU6+OSZbQWbPnj3o27cvJk+ejNatW0OtVudcZaRovXoBBQsC9+8D69bJXQ0RkTw2bhQjOStVAnjBImdkK8gcO3YMcXFxqF69OmrXro1FixYhOjo656ojxbKxAcaMEdszZ4qJ8oiIzIkkAStWiO0vvhAjO0n/shVkPvnkE6xYsQIPHjzAgAEDEBwcjIIFCyI5ORkhISGIi4vLuUpJcfr1A1xcRCe3lKZVIiJzcf48cOmS+GD3+edyV2O6dBq1ZG9vjz59+uDYsWMICwvD6NGjMXPmTOTLlw/tOO8yveHgAAwfLranTxefToiIzEVKJ9+OHQFnZ7mrMV0fPY9MmTJlMHv2bNy7dw+bNm3ST1VkMoYMEUMOw8KAnTvlroaIyDASEoANG8Q2O/nmLL1MiAcAarUaHTp0wE7+taJ35M0rwgwATJnCVhkiMg/btgGxsYCnp1i+hXKO3oIMUWZGjQLs7cX14l275K6GiCjnpcyh1bevmCiUcg7/eSnHuboCAQFie/JktsoQkWm7eRM4elQEGH9/uasxfQwyZBBjxgC5cgFnzwJ798pdDRFRzklpjfn0U6BQIbmrMX0MMmQQbm7A4MFim60yRGSqEhOBNWvEdv/+cldjHhhkyGDGjAHs7IA//wT275e7GiIi/du+HXjyRLTEtGoldzXmgUGGDCZ/fmDgQLHNVhkiMkXLl4v7fv3EunOU8xhkyKDGjgVsbYGTJ4EDB+SuhohIf65fB44cEZ18OXeM4TDIkEG5u7+9bsxWGSIyJSmtMW3bAoULy12N+WCQIYP76iux9sixY0BoqNzVEBF9vJcvgbVrxfaAAXJXY14YZMjgChYUK8HizWy/RERKt3Ur8Pw5ULQo0Ly53NWYFwYZksW4cYC1NXD4sLgRESnZsmXivn9/QK2WuxrzwiBDsihc+G1nuMmT5a6GiEh3YWFiAIOlJdCnj9zVmB8GGZLNuHGAlZXoJ3P0qNzVEBHpJqWTb/v2QIECcldjfhhkSDZFigC9e4tt9pUhIiWKjwfWrRPbKfNkkWExyJCsxo8XzbF//MFWGSJSnuBgIDYWKFEC8PGRuxrzxCBDsipW7G1fmQkTOK8MESlLSiffAQPERHhkePxnJ9lNmCDmlTlyhLP9EpFynD8PnD0rRmD6+8tdjflikCHZFS789toyW2WISClSOvl27Ai4ucldjflikCGjMG4ckCuXWBl71y65qyEier/YWGDDBrHNTr7yYpAho1CgADB0qNieMAFITpa7IiKizG3cKEYslS0LNGggdzXmjUGGjMbYsYCjI3DpErB9u9zVEBFlTJLSzuSrUsldkXljkCGj4eICjBoltr/5BtBq5a6IiCi906fFBy4bG8DPT+5qiEGGjMrIkYCzM3Djhmi6JSIyNkuWiPsuXcTvK5IXgwwZldy5gS+/FNuTJgEajdwVERG99e+/YhI8ABgyRO5qCAwyZIyGDAHy5QMiIoCgILmrISJ6a+VKICkJqFkTqFVL7moIDDJkjOztga+/FttTpgCvXsldERER8Po1sHSp2GZrjPFgkCGjNGAAUKgQcO8esGKF3NUQEQG//QbcvQu4uor+MWQcGGTIKNnaAhMniu1p04CEBLkrIiJzt2iRuO/XT/yOIuPAIENGq3dvwNMTePQIWLxY7mqIyJxduwYcPCgWhuRMvsaFQYaMlrU1EBgotmfOBGJi5K6IiMxVyoep9u2BIkXkrobexSBDRu3zz4Fy5YCnT4HZs+WuhojMUUwMsHat2GYnX+PDIENGTa0GZswQ2/PmAffvy10REZmbn34S6yqVLw80bix3NfRfDDJk9Nq1A+rWBV6+FJPkEREZSnLy206+Q4ZwXSVjxCBDRk+lentZafVq4Pp1uSsiInNx4ABw6xbg5AT07Cl3NZQRow4yS5cuhZeXF5ycnODk5ARvb2/s2bNH7rJIBnXqAB06iE9H48fLXQ0RmYuU1hh/f8DBQe5qKCNGHWQKFy6MmTNn4ty5czh79ix8fHzQvn17XL16Ve7SSAbTp4uhj7/+Chw/Lnc1RGTqoqLEJHgAMHiw3NVQZow6yLRt2xatWrVCqVKlULp0aUybNg0ODg44deqU3KWRDMqVA/r2FdtffglIktwVEZEpW7JE/J5p3hwoU0buaigzlnIXkFVarRZbt25FfHw8vL29Mz0uMTERiYmJqV/HxsYCADQaDTQKXko5pXYlvwd9+L//A9avt8SJEyps3/4a7dsbPs3wXBgPngvjYWrnIiEBWLnSEoAKAwe+hkajnE9OpnIuslq/SpKM+3NtWFgYvL298erVKzg4OGDjxo1o1apVpsdPmjQJkydPTrd/48aNyJUrVw5XS4awfn05bNtWGoULx2HBglCo1Ub9I0xECvTHH0WwaFFV5MsXj6VL/4BaLXdF5ichIQHdu3dHTEwMnJycMj3O6INMUlIS7ty5g5iYGGzbtg0rV67E4cOHUb58+QyPz6hFxsPDA9HR0e/9hzB2Go0GISEhaNasGaysrOQuR1YxMUDZspZ48kSFpUtfo29fw/4I81wYD54L42FK50KSgFq1LHHpkgozZmgxenSy3CVli6mci9jYWLi6un4wyBj9pSVra2uULFkSAFC9enWcOXMGCxYswPLlyzM83sbGBjY2Nun2W1lZKfqEpjCV9/ExXF2BCROAkSOBKVMs0bMnYG9v+Dp4LowHz4XxMIVzceIEcOmSWBiyXz81rKyU2Ryj9HOR1dqNurNvRpKTk9O0uJB5GjQIKFYMePAAWLBA7mqIyJTMmyfue/QAXFzkroY+xKiDzPjx43HkyBFERUUhLCwM48ePx6FDh9CjRw+5SyOZ2dgA334rtmfNAqKj5a6IiExBZCTw889ie+RIuauhrDDqIPP48WP06tULZcqUQZMmTXDmzBns27cPzZo1k7s0MgLdugFVqwKxscC0aXJXQ0SmYMECMfFmixZAhQpyV0NZYdR9ZFatWiV3CWTELCxEa0zz5sDixWLCqlKl5K6KiJTq+XMg5c/OqFFyV0NZZdQtMkQf0qwZ0LIloNEAY8bIXQ0RKdnKlcCLF6Ilhg3/ysEgQ4o3dy6gVgM7dwJ//CF3NUSkRBoNsHCh2B41iqtcKwmDDCleuXJv10EZORJ4/VruiohIabZvB+7eBfLnF6OVSDkYZMgkTJoEODsDV64AK1bIXQ0RKYkkAd9/L7YDAsSoSFIOBhkyCc7OQMrKFBMnAs+eyV0RESnFsWPA2bNiAryBA+WuhrKLQYZMxsCBQPnywJMnwNSpcldDREoxd66479ULcHOTuxrKLgYZMhmWlm9/If3wA3DzptwVEZGxCw8Hfv1VbI8YIXc1pAsGGTIpLVoArVuLDr+jR8tdDREZuwULRB+ZVq3EwAFSHgYZMjnffy9aZ3btAvbtk7saIjJWz54Bq1eLbX7wUS4GGTI5ZcoAQ4aI7VGjOBybiDK2fDmQkABUrgw0bix3NaQrBhkySd98I1atvXYNWLZM7mqIyNgkJYm+dOAEeIrHIEMmKW/etyOXAgOBp0/lroiIjMmWLcA//wDu7kDXrnJXQx+DQYZMVr9+QMWKIsRMmiR3NURkLCTp7QjHIUMAa2u5K6KPwSBDJsvSEpg3T2wvWQJcuiR3RWSskpOBV6+AuDgxD9HDh2K6+ogI0SFUkuSukPQpNBS4cAGwswMGDJC7GvpYlnIXQJSTmjYFOnUCtm0DBg0SM3haML6bFUkCHj8G/vpLzBmScvvrL+D2bRFekpPf/xx2dkDBgkChQunvq1QBSpdmHwslmT5d3PfpI/rSkbIxyJDJmz8f2LsXOHkSWLVKXHIi0xUfDxw/Dhw8KD55X7sGvHiR/eextharqr98KW63b4tbRlxdgbp1gXr1xH21alyvx1j9+Sdw4IBosR07Vu5qSB8YZMjkFSoETJkiRiZ89RXQoQOnITclGo0Kx46pcOSICC8nTwIaTdpjVCqgaFGgZElxK1VK3JcoIdbpsrISN2trca9Wv21hSUgAHjwQHUPv3097HxUlLlFER4vZYVNmiLWxAWrVEsHms8+AGjXYYmMsUlpjPv9c/EyQ8jHIkFkYOhRYu1b0k/nyS2DNGrkroo/x6pUIDT/9pMaBA62QmJj2V5mHB9CkCeDjI0JE8eK6t5DkyiUCT4kSGX8/MRE4f15ctjx+XNyio4GjR8VtxgygbFmxjs/nn4vaSB5hYcDOnSJUjhsndzWkLwwyZBYsLcV8MnXqAEFBQO/eQIMGcldF2SFJorVl7Vpg82YgJgZvxitYwM1Ngo+PCj4+IsAUL264FhAbG8DbW9zGjhV13rolAk1IiAhcN24AX38N/N//iYnXevUCOnYEHB0NUyMJM2aI+06dxMSZZBoYZMhsfPKJ6B/z44+i4++FCxx2qQR37gDr1okA89dfb/d7eAA9emhRoMARDBpUD9bWVnKWmUqlEn8ky5QRnUljY4Ht24GffgIOHRKXvw4eBAYPFmFm5EjRp4ZyVni4CMCACJVkOjh+g8zKjBmif8y1a2+HZpPxkSTxR79lS6BYMWDCBBFicuUSrRkHDoj+KVOmJKNYsVij7n/i5CRaAENDRc3ffitGOSUkAOvXA9Wri35bFy/KXalpmzlTjE5r3VqMNCPTwSBDZsXZGfjuO7E9ZQrw999yV0TvkiSx2Ge9euISzL59Yl+jRuKS4KNHomXGx0eZw+iLFhWXl27cAE6dAnr0EC04v/4KVK0qLnmEhcldpem5e1e0iIGtMSZJgb8KiD5Or16if0xCAjBsmNzVEABotcDWreISS5s2wIkTou/J4MFiyHNoKODnBzg4yF2pfqhUQO3aokXm6lUxRb5KJS5BeXkBvr6i1ZD0Y84cMZKtUSPRT45MC4MMmR2VSsz0a2kpRjCkDJklw9NoREtLhQpAly7i8oq9PTBmDBAZCSxeLDrumrJy5YBNm0RLTOfOYt+WLWJ5je7dRR8h0t3jx8CKFWKbrTGmiUGGzFKFCsDo0WJ72DAxiRoZjiSJAFmunOg/cvMmkCePWLX877/F5T93d7mrNKwKFUSAuXRJzD0jSSLgVKgggveHZh+mjM2fLyY0rFlTzPRNpodBhszWxImiz8KdO8DkyXJXYz6uXQNatBAdXG/fBvLlA2bNEgFm8mROGe/lBfz8M3DunLgM8uIFEBAgLovcuiV3dcry/Llo1cOb1hhj7hROumOQIbNlbw/88IPY/v574MwZuSsybc+eAcOHiz/UISFi6Pv48SLMfPmlGN1Db1WrJibU++EH8bN69Kj4t5s1C3j9Wu7qlGHxYjH8vUIFoF07uauhnMIgQ2atbVvR0TI5GfD3FzPGkn5ptcDy5WJZgIULxdft24uWmenTTacDb06wsACGDAGuXAGaNxezCI8bJzoKc7j2+8XHi8tKgAjMShzlRlnDU0tmb9EiIH9+8Yd10iS5qzEtx46JeVIGDgSePBF9YvbvB375JfMp/ym9YsXEwqdBQUDevGJJhBo1xFDupCS5qzNOK1aIpSKKFxejwMh0MciQ2XNxES0GgOhk+uefclekfPHx4jJS/fqi82qePMCCBWK7WTO5q1MmlUoMQb92Tcw3o9WKFq2GDcUClvRWYqIYcg2IhWItOYe9SWOQIYK41NGjx9tLTC9fyl2Rch07JmZOXbhQfN2nj+ikOmyYWFmaPk6BAmLOnW3bREA8deptfxoSfvxRrFBesKAIf2TaGGSI3li4UPyRuHFDDAOm7Hn5Ugxpb9BArGtTqBCwZw+wapVYFoL063//Ex3UK1USMx77+IiOwZIkd2XyevFCLAMBiKUtdF31nJSDQYboDWdn8UkOb0YxnTghd0XKceqUaIWZO1f8IfX3Fx1UW7aUuzLTVrKkWBG8a1cxkmnYMNECkZAgd2XyWbBATIJXogTwxRdyV0OGwCBD9I62bcUSBpIkJmrjJab3e/VK9EGoW1dcPnJ3B37/HVizRlz2oJxnbw9s3ChCpFotVgqvW1fMjGxunj5Nu5YaL2WaBwYZov+YP19cW791SzRNU8auXxezpc6eLfoW9ewp1g1q3VruysyPSgWMHAn88Ye4jHfxohjVtH+/3JUZ1qxZQEyMmG+na1e5qyFDYZAh+o+8ed+uzTJvnui8Smn99JP4Q3nlipiZ95dfxL68eeWuzLw1aiSGZteqJVonWrYEli6VuyrDuH//bQfzadM4b4w54akmykCrVuLSUsolJnPuc/Cu+Hjx75HSD8PHRwypbt9e7sooReHCwJEjQN++4ud38GDR+dXUOwFPnSouddaty1ZBc8MgQ5SJuXPFH4XwcNEPxNxdvSo+6QcFiU+7kyeLSxcFCshdGf2XjY1oVUwZfTdxorj0ZKoLT4aHi9FxADBjBtdUMjcMMkSZyJMHWLlSbC9aJObtMEeSBKxeLfrDXLsmgsuBA+KPpFotd3WUGZVKhM0FC8TXCxaIljSNRu7K9O+bb8SorU8/FZMwknlhkCF6jxYtxIKGeDOx219/yV2RYb14IUZx9e0rRnA1ayYuJTVqJHdllFXDhgHr14vZbdevBz77zLQulV66BGzaJLanTZO7GpIDgwzRB3z7LVCvHhAXB3TubD5Dsm/dEpeS1q8Xl5KmTRPr/eTLJ3dllF09egC//grY2QG7domA/vy53FXpx//9n7jv2hWoWlXuakgODDJEH2BlBQQHi2Gtly4BI0ea/vWU334Tl5KuXxdzw4SGAl9/zZEgStaqlejTlDu3GInXsCHw8KHcVX2cY8dEMFOrxbwxZJ74a4koCwoVEpOOqVTA6tUWCA31kLukHJGcDAQGAu3aAbGxoiXq/Hmx7AApX716YkRTgQLA5ctihM/ff8tdlW4kCRg/Xmz37QuUKiV3RSQXBhmiLGraFJg0SWwvXeqFK1fkrki/nj8Xw6hTPtkOGSI69XJUkmnx8gKOHweKFwciIsQQ+nv35K4q+/bsES0ytrZcG83cMcgQZcOECUCzZslISrJE166WiIuTuyL9SBla/fvvYuhuUJBYgNDaWu7KKCcULw4cPpw2zDx4IHdVWZecLC51AsDQoaLFlMwXgwxRNlhYAEFBWri4vMStWyr076/8ica2bQNq1xYjsooUEZ/W/fzkropyWuHCou9TsWLi3Pv4iFW0lWDFCtFfzcmJczwRgwxRtrm5AWPHnoGlpYTgYOVOAa/Vij4GnTuLGXsbNwbOngWqV5e7MjKUIkWAgwdFqLlxA2jSBPj3X7mrer8HD96Gl2+/BVxc5K6I5MYgQ6SDsmWfYfp0MU3qyJHAmTNyV5Q9T5+KUSwzZ4qvR48WI1rc3OSujAzN01O0zBQsKC4xNmsmfj6M1ciRYmHIGjXE8gtEDDJEOho+PBmffQYkJQFt2oh5V5Tg0qW3KyPb2YnRWHPmiAnTyDyVLClaZvLnFz8fzZsb5zwze/YAmzeL4dY//siZpUlgkCHSkUoFrFkDVKkCPH4smuWjouSu6v02bQK8vYHISPFJ/ORJoFs3uasiY1CmjAgzbm7AuXNi0rzYWLmreis+Hhg0SGyPGMHJ7+gtBhmij5A7N7BvH1C2rBjC2rSpcY7+eP0aGDMG6N5dzEzcvLnoD1O5styVkTEpXx744w/A2Rk4fVqsXfTihdxVCVOmiDlvihR5Ow0CERhkiD5evnzil7+nJ3D7tggz0dFyV/VWdLT4dP399+Lr8eOB3bvFHyui//LyEj/PefIAJ06IyRHlXpbj0qW3P7+LFwMODvLWQ8aFQYZIDwoVEpPHFSokVohu0UJ0SJRbyiikgwcBe3tg61Zg+nT2LaD3q1pV9KFydBQdgTt2BBIT5alFqwUGDBD3nTqJ/mhE72KQIdITT0/xSdbNTUzr37q1uK4vB61WBBZvb+DOHTF9+59/ij8ERFlRs6ZoucuVSywW2q0boNEYvo5ly8TPrpMTsGCB4V+fjB+DDJEelS0rPsnmySMmluvQAXj1yrA1REUBjRqJVYFfvxbh5fRpoEIFw9ZBylevnlg128YG2LFDTJSo1Rru9f/55+16SjNmiCHiRP/FIEOkZ1WqiGGi9vaihcbX1zCfZCUJWLdO9HE4dkxcFli7FtiyRQQrIl00bSpmf7a0FKPeBgwQSwQYwrBhQFycmHl6wADDvCYpD4MMUQ745BPgt9/EgnY7d4rp32/cyLnXe/YM6NoV6NVL/OKvU0d0kOzVSwwTJ/oYbdqI+YYsLIBVq4Dhw3N+aY7ffgO2b+ecMfRhDDJEOaRxY/GL2N5etJBUrgxMnSom0NOngwdFK8yWLeKX/dSpYkFAT0/9vg6Zt86dxWKiKhWwaBEwblzOhZkHD4CAALE9erT4+SbKDIMMUQ5q1UpM+96qlQgw33wDVKsmJqL7WKdOiQ6YTZuKOWxKlRLDZSdM4Cy9lDN69hSdbwFg9mxg8mT9h5lHj0QL5t27QIkS4v8M0fswyBDlsKJFgd9/F03zbm4i2NStCwwdKi4DZUdSErBhg+gz4O0NBAeLPyT9+omRUrVq5dS7IBL69wfmzRPbkyeLr/XVyvj48dvLsB4eQEiIaNEkeh8GGSIDUKlE68n164C/vwgfixaJmVR37hSji97n8WNxyahYMeDzz8UoJBsboHdv4MIF0YeAk4SRoYwYIcKMSgWsXCnCx6NHH/ec0dGidfHaNTEf08GDvDxKWcMGaCIDcnER6zP16CFGYUREAO3bi+85OYnZdp2dxXEp27GxYtRIyoRkBQqI/gP9+4tZhYnkMGKEmG6ga1cx1YC3tyVGjNBteNzTp2LV7bAwwN1dhJiSJfVeMpkoBhkiGTRtKn5pT54sJvlKTBSBJTY284Una9USo0U6dQKsrQ1dMVF6LVuK1sF27YCbN1X4+ut6cHOT0KtX1p/j+XOx9tfFi2L17YMHgdKlc7JqMjUMMkQyyZULmDVLzMD7/Ln4VPrkibh/9/bqlZhY75NP5K6YKL3SpcXMu927J2P3bjX8/EQ/sKwshRETI5bzOHdO9B87cEC08hBlB4MMkczUanEpycVFjDwiUprcuYHt27X4/PNwbN9eGrNnA5cviwn0MpuMMS5OrK59+rT42f/jD84+TbphkCEioo+mVgM9e15Hhw7F0b+/JfbuFZeKbGzERHpq9dt7tVqsqP3sGZA3rwgxnCuGdMUgQ0REeuPrK6FCBbFidlTU+4dm580rhlhXqWLICsnUMMgQEZFeVa0K3LolJrVLThYLTSYnp93WakX/GkdHuaslpWOQISIivbOyAooXl7sKMgecEI+IiIgUi0GGiIiIFItBhoiIiBSLQYaIiIgUi0GGiIiIFItBhoiIiBSLQYaIiIgUi0GGiIiIFItBhoiIiBSLQYaIiIgUi0GGiIiIFItBhoiIiBRLEUFm8eLFKFasGGxtbVG7dm2cPn1a7pKIiIjICBh9kNm8eTNGjRqFwMBAnD9/HpUrV0aLFi3w+PFjuUsjIiIimRl9kJk7dy769euH3r17o3z58li2bBly5cqF1atXy10aERERycyog0xSUhLOnTuHpk2bpu6zsLBA06ZNcfLkSVlrIyIiIvlZyl3A+0RHR0Or1SJ//vxp9ufPnx83btzI8DGJiYlITExM/TomJgYA8PTpU2g0mhyuOOdoNBokJCTgyZMnsLKykrscs8ZzYTx4LowHz4XxMJVzERcXBwCQJOm9xxl1kNHFjBkzMHny5HT7PT09ZamHiIiIdBcXF4fcuXNn+n2jDjKurq5Qq9V49OhRmv2PHj1CgQIFMnzM+PHjMWrUqNSvk5OT8fTpU7i4uEClUuV4zTklNjYWHh4euHv3LpycnOQux6zxXBgPngvjwXNhPEzlXEiShLi4OBQsWPC9xxl1kLG2tkb16tVx4MABdOjQAXgTTA4cOIAhQ4Zk+BgbGxvY2Nik2ZcnTx6D1GsITk5Oiv7BNCU8F8aD58J48FwYD1M4F+9riUlh1EEGAEaNGgU/Pz/UqFEDtWrVwvz58xEfH4/evXvLXRoRERHJzOiDjK+vL/7991988803ePjwIapUqYK9e/em6wBMRERE5sfogwwADBkyJNNLSebCxsYGgYGB6S6bkeHxXBgPngvjwXNhPMztXKikD41rIiIiIjJSRj0hHhEREdH7MMgQERGRYjHIEBERkWIxyBAREZFiMcgYgRkzZqBmzZpwdHREvnz50KFDB9y8efO9j1mxYgXq16+PvHnzIm/evGjatClOnz5tsJpNlS7n4l3BwcFQqVSpEziS7nQ9F8+fP0dAQADc3d1hY2OD0qVLY/fu3Qap2VTpei7mz5+PMmXKwM7ODh4eHhg5ciRevXplkJpN1dKlS+Hl5ZU62Z23tzf27Nnz3sds3boVZcuWha2tLSpVqmRy/x8YZIzA4cOHERAQgFOnTiEkJAQajQbNmzdHfHx8po85dOgQunXrhtDQUJw8eRIeHh5o3rw57t+/b9DaTY0u5yJFVFQUxowZg/r16xukVlOny7lISkpCs2bNEBUVhW3btuHmzZtYsWIFChUqZNDaTY0u52Ljxo0YN24cAgMDcf36daxatQqbN2/G119/bdDaTU3hwoUxc+ZMnDt3DmfPnoWPjw/at2+Pq1evZnj8iRMn0K1bN/Tt2xcXLlxAhw4d0KFDB1y5csXgtecYiYzO48ePJQDS4cOHs/yY169fS46OjtLatWtztDZzk9Vz8fr1a6lOnTrSypUrJT8/P6l9+/YGq9FcZOVcLF26VCpevLiUlJRk0NrMTVbORUBAgOTj45Nm36hRo6S6desaoELzkjdvXmnlypUZfq9Lly5S69at0+yrXbu2NGDAAANVl/PYImOEYmJiAADOzs5ZfkxCQgI0Gk22HkMfltVzMWXKFOTLlw99+/Y1UGXmJyvnYufOnfD29kZAQADy58+PihUrYvr06dBqtQas1PRl5VzUqVMH586dS73kHRERgd27d6NVq1YGq9PUabVaBAcHIz4+Ht7e3hkec/LkSTRt2jTNvhYtWuDkyZMGqjLnKWJmX3OSnJyMESNGoG7duqhYsWKWH/fVV1+hYMGC6X5gSXdZPRfHjh3DqlWrcPHiRYPWZ06yei4iIiJw8OBB9OjRA7t370Z4eDgGDx4MjUaDwMBAg9ZsqrJ6Lrp3747o6GjUq1cPkiTh9evXGDhwIC8t6UFYWBi8vb3x6tUrODg4YMeOHShfvnyGxz58+DDdkj758+fHw4cPDVRtzmOQMTIBAQG4cuUKjh07luXHzJw5E8HBwTh06BBsbW1ztD5zkpVzERcXh549e2LFihVwdXU1aH3mJKv/L5KTk5EvXz78+OOPUKvVqF69Ou7fv4/vvvuOQUZPsnouDh06hOnTp2PJkiWoXbs2wsPDMXz4cEydOhUTJ040WL2mqEyZMrh48SJiYmKwbds2+Pn54fDhw5mGGZMn97UteisgIEAqXLiwFBERkeXHfPfdd1Lu3LmlM2fO5Ght5iar5+LChQsSAEmtVqfeVCqVpFKpJLVaLYWHhxusZlOVnf8XDRo0kJo0aZJm3+7duyUAUmJiYg5WaR6ycy7q1asnjRkzJs2+devWSXZ2dpJWq83BKs1PkyZNpP79+2f4PQ8PD2nevHlp9n3zzTeSl5eXgarLeewjYwQkScKQIUOwY8cOHDx4EJ6enll63OzZszF16lTs3bsXNWrUyPE6zUF2z0XZsmURFhaGixcvpt7atWuHxo0b4+LFi/Dw8DBY7aZGl/8XdevWRXh4OJKTk1P33bp1C+7u7rC2ts7hik2XLuciISEBFhZp/8So1erU5yP9SU5ORmJiYobf8/b2xoEDB9LsCwkJybRPjSLJnaRIkgYNGiTlzp1bOnTokPTgwYPUW0JCQuoxPXv2lMaNG5f69cyZMyVra2tp27ZtaR4TFxcn07swDbqci//iqCX90OVc3LlzR3J0dJSGDBki3bx5U/r999+lfPnySd9++61M78I06HIuAgMDJUdHR2nTpk1SRESEtH//fqlEiRJSly5dZHoXpmHcuHHS4cOHpcjISOny5cvSuHHjJJVKJe3fv1+SMjgPx48flywtLaU5c+ZI169flwIDAyUrKyspLCxMxnehXwwyRgBAhrc1a9akHtOwYUPJz88v9euiRYtm+JjAwECZ3oVp0OVc/BeDjH7oei5OnDgh1a5dW7KxsZGKFy8uTZs2TXr9+rUM78B06HIuNBqNNGnSJKlEiRKSra2t5OHhIQ0ePFh69uyZTO/CNPTp00cqWrSoZG1tLbm5uUlNmjRJDTFSJv8ntmzZIpUuXVqytraWKlSoIO3atUuGynOOSmIbHxERESkU+8gQERGRYjHIEBERkWIxyBAREZFiMcgQERGRYjHIEBERkWIxyBAREZFiMcgQERGRYjHIEBG9IykpCSVLlsSJEydkq2HcuHEYOnSobK9PpCQMMkQmzN/fHyqVKt0tPDxc7tKM1rJly+Dp6Yk6deqk2R8aGoo2bdrAzc0Ntra2KFGiBHx9fXHkyJHUYw4dOgSVSoXnz5+ne95ixYph/vz5WaphzJgxWLt2LSIiIvTwjohMG4MMkYlr2bIlHjx4kOaW0aJ/SUlJstRnTCRJwqJFi9C3b980+5csWYImTZrAxcUFmzdvxs2bN7Fjxw7UqVMHI0eO1Hsdrq6uaNGiBZYuXar35yYyNQwyRCbOxsYGBQoUSHNTq9Vo1KgRhgwZghEjRqT+4QSAK1eu4NNPP4WDgwPy58+Pnj17Ijo6OvX54uPj0atXLzg4OMDd3R3ff/89GjVqhBEjRqQeo1Kp8Msvv6SpI0+ePAgKCkr9+u7du+jSpQvy5MkDZ2dntG/fHlFRUanf9/f3R4cOHTBnzhy4u7vDxcUFAQEB0Gg0qcckJibiq6++goeHB2xsbFCyZEmsWrUKkiShZMmSmDNnTpoaLl68+N4WqXPnzuH27dto3bp16r47d+5gxIgRGDFiBNauXQsfHx8ULVoUXl5eGD58OM6ePZvtcxIUFJRhS9mkSZNSj2nbti2Cg4Oz/dxE5oZBhsiMrV27FtbW1jh+/DiWLVuG58+fw8fHB1WrVsXZs2exd+9ePHr0CF26dEl9zNixY3H48GH8+uuv2L9/Pw4dOoTz589n63U1Gg1atGgBR0dHHD16FMePH4eDgwNatmyZpmUoNDQUt2/fRmhoKNauXYugoKA0YahXr17YtGkTFi5ciOvXr2P58uVwcHCASqVCnz59sGbNmjSvu2bNGjRo0AAlS5bMsK6jR4+idOnScHR0TN23fft2aDQafPnllxk+RqVSZeu9A4Cvr2+aFrJNmzbB0tISdevWTT2mVq1auHfvXppwR0QZkHvVSiLKOX5+fpJarZbs7e1Tb506dZKkN6vkVq1aNc3xU6dOlZo3b55m3927dyUA0s2bN6W4uDjJ2tpa2rJlS+r3nzx5ItnZ2UnDhw9P3QdA2rFjR5rnyZ07d+pqyevWrZPKlCkjJScnp34/MTFRsrOzk/bt25dae9GiRdOsXN25c2fJ19dXkiRJunnzpgRACgkJyfC9379/X1Kr1dKff/4pSZIkJSUlSa6urlJQUFCm/17Dhw+XfHx80uwbOHCg5OTklGbftm3b0vybXr58WZIkSQoNDZUApPleyk2lUknz5s1L95rh4eGSs7OzNHv27DT7Y2JiJADSoUOHMq2XiCTJUu4gRUQ5q3Hjxmn6Wtjb26duV69ePc2xly5dQmhoKBwcHNI9z+3bt/Hy5UskJSWhdu3aqfudnZ1RpkyZbNV06dIlhIeHp2n5AIBXr17h9u3bqV9XqFABarU69Wt3d3eEhYUBby4TqdVqNGzYMMPXKFiwIFq3bo3Vq1ejVq1a+O2335CYmIjOnTtnWtfLly9ha2ubbv9/W11atGiBixcv4v79+2jUqBG0Wm2a7x89ejTde2vUqFG6542JiUGbNm3QunVrjB07Ns337OzsAAAJCQmZ1ktEAIMMkYmzt7fP9FLKu6EGAF68eIG2bdti1qxZ6Y51d3fP8mgnlUoF0TDz1rt9W168eIHq1atjw4YN6R7r5uaWum1lZZXueZOTk4F3/tC/zxdffIGePXti3rx5WLNmDXx9fZErV65Mj3d1dU0NSilKlSqFmJgYPHz4EAUKFAAAODg4oGTJkrC0zPhXqKenJ/LkyZNm33+P1Wq18PX1hZOTE3788cd0z/H06VPgP/8eRJQe+8gQUapq1arh6tWrKFasGEqWLJnmZm9vjxIlSsDKygp//vln6mOePXuGW7dupXkeNzc3PHjwIPXrv/76K03LQrVq1fDXX38hX7586V4nd+7cWaq1UqVKSE5OxuHDhzM9plWrVrC3t8fSpUuxd+9e9OnT573PWbVqVdy4cSNNCOvUqROsrKwyDHcfY+TIkQgLC8Mvv/ySYSvQlStXYGVlhQoVKuj1dYlMDYMMEaUKCAjA06dP0a1bN5w5cwa3b9/Gvn370Lt3b2i1Wjg4OKBv374YO3YsDh48iCtXrsDf3x8WFml/lfj4+GDRokW4cOECzp49i4EDB6ZpXenRowdcXV3Rvn17HD16FJGRkTh06BCGDRuGe/fuZanWYsWKwc/PD3369MEvv/yS+hxbtmxJPUatVsPf3x/jx49HqVKl4O3t/d7nbNy4MV68eIGrV6+m7itSpAi+//57LFiwAH5+fggNDUVUVBTOnz+PhQsXpr5OdqxZswZLlizBsmXLoFKp8PDhQzx8+BAvXrxIPebo0aOoX79+llqeiMwZgwwRpSpYsCCOHz8OrVaL5s2bo1KlShgxYgTy5MmTGla+++471K9fH23btkXTpk1Rr169dH1tvv/+e3h4eKB+/fro3r07xowZk+aSTq5cuXDkyBEUKVIEHTt2RLly5dC3b1+8evUKTk5OWa536dKl6NSpEwYPHoyyZcuiX79+iI+PT3NM3759kZSUhN69e3/w+VxcXPDZZ5+lu+Q1dOhQ7N+/H//++y86deqEUqVKoVWrVoiMjMTevXtRqVKlLNcMAIcPH4ZWq0W7du3g7u6eent3uHhwcDD69euXreclMkcq6b8XsomIsqlRo0aoUqVKlmeuNaSjR4+iSZMmuHv3LvLnz//B4y9fvoxmzZrh9u3bGXZ6NoQ9e/Zg9OjRuHz5cqb9cIhIYIsMEZmkxMRE3Lt3D5MmTULnzp2zFGIAwMvLC7NmzUJkZGSO15iZ+Ph4rFmzhiGGKAv4v4SITNKmTZvQt29fVKlSBT/99FO2Huvv759jdWVFp06dZH19IiXhpSUiIiJSLF5aIiIiIsVikCEiIiLFYpAhIiIixWKQISIiIsVikCEiIiLFYpAhIiIixWKQISIiIsVikCEiIiLFYpAhIiIixfp/9JwAKQMQ7eYAAAAASUVORK5CYII=",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -914,7 +1019,7 @@
    ],
    "source": [
     "# Retrieve the field data from the \"rad_frequency\" monitor\n",
-    "antenna_parameters_freq = modeler.get_antenna_metrics_data(monitor_name=\"rad_frequency\")\n",
+    "antenna_parameters_freq = modeler_data.get_antenna_metrics_data(monitor_name=\"rad_frequency\")\n",
     "axial_ratio = antenna_parameters_freq.axial_ratio\n",
     "\n",
     "freq = axial_ratio.f.values.squeeze() / 1e9\n",
@@ -942,12 +1047,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -984,12 +1089,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA90AAAHpCAYAAACful8UAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjMsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvZiW1igAAAAlwSFlzAAAPYQAAD2EBqD+naQAAgh1JREFUeJzs3X98T/X///H7hv2w2WZjm/m5kPlNw6yU3uxtSoSlyO8WkSm8ixTD8m7vVEhh795v0Q/epG+pVGp+K7MY3gktld9sSNsYtrHz/eNt5+Nlv2cvr/24XS+X16Ve5zyf5zyeZ6/Z7jvnPI+dYRiGAAAAAABAqbO3dQEAAAAAAFRUhG4AAAAAAKyE0A0AAAAAgJUQugEAAAAAsBJCNwAAAAAAVkLoBgAAAADASgjdAAAAAABYCaEbAAAAAAArIXQDAAAAAGAlhG6ggtq8ebPs7Oy0efNmW5eCUvbDDz/IwcFBR48etXUppnXr1snV1VVnz561dSkAAABlCqEbKOcWLVqkZcuW2bqMElmxYoXmz59v6zIkSX//+9/Vp08f+fj4yM7OTjNnzixW/4yMDE2ZMkV+fn5ydnZWUFCQYmNj82y7fft2denSRdWrV5evr6+eeeYZXbx4scj7eumllzRo0CA1bNiwWDVaU8+ePdWkSRNFR0fbuhQAAIAyhdANlHP5he777rtPly9f1n333WeTuoqiLIXuadOmaefOnWrfvn2J+o8YMUJz587V4MGD9eabb6pKlSp68MEH9d1331m027t3r7p3765Lly5p7ty5evLJJ/XOO+9owIABRdrP3r17tX79eo0ZM6ZEdVrTU089pX/+85+6cOGCrUsBAAAoM6raugCgNKSnp8vFxcXWZZQp9vb2cnJysnUZ5cbhw4fVqFEjnTt3TrVr1y5W3x9++EErV67Ua6+9pueee06SNGzYMLVq1UqTJ0/W9u3bzbYvvviiatasqc2bN8vNzU2S1KhRI40aNUrffvutevToUeC+li5dqgYNGqhz584lGqc1hYWFafz48Vq9erWeeOIJW5cDAABQJnCmG2XOyZMnFR4eLj8/Pzk6Osrf319jx45VZmamJGnZsmWys7PTli1b9PTTT8vb21v16tUz+y9atEgtW7aUo6Oj/Pz8NG7cOKWkpFjs49ChQwoLC5Ovr6+cnJxUr149DRw4UKmpqWab2NhYdenSRR4eHnJ1dVWzZs304osvFlp/UfplZGRoxowZatKkiRwdHVW/fn1NnjxZGRkZubb34YcfqlOnTqpevbpq1qyp++67T99++610Pazt379fW7ZskZ2dnezs7HT//fdLBdzTvXr1agUGBsrZ2Vm1atXSkCFDdPLkSYs2I0aMkKurq06ePKm+ffvK1dVVtWvX1nPPPadr164Vegw+++wz9erVy/waNm7cWC+//LJF3/vvv19ffvmljh49atbeqFGjfLc5YsQIs93Nr+JeCp6XgvZdmI8//lhVqlTR6NGjzWVOTk4KDw9XXFycjh8/LklKS0tTbGyshgwZYgZuXQ/orq6u+uijjwrd15o1a9StWzfZ2dnlqv+hhx7S5s2b1aFDBzk7O6t169bm1/+TTz5R69at5eTkpMDAQO3Zs8eif87X/NixY3rooYfk6uqqunXrauHChZKkffv2qVu3bnJxcVHDhg21YsWKXLV5e3urTZs2+uyzz4p9DAEAACoqznSjTDl16pQ6deqklJQUjR49WgEBATp58qQ+/vhjXbp0SQ4ODmbbp59+WrVr11ZkZKTS09MlSTNnztSsWbMUEhKisWPHKjExUYsXL9bOnTv1/fffq1q1asrMzFRoaKgyMjI0fvx4+fr66uTJk1q7dq1SUlLk7u6u/fv366GHHlKbNm0UFRUlR0dH/frrr/r+++8LrL8o/bKzs9WnTx999913Gj16tJo3b659+/Zp3rx5+uWXX7RmzRqz7axZszRz5kzdfffdioqKkoODg+Lj47Vx40b16NFD8+fP1/jx4+Xq6qqXXnpJkuTj45NvfcuWLdPIkSPVsWNHRUdHKzk5WW+++aa+//577dmzRx4eHmbba9euKTQ0VEFBQXr99de1fv16vfHGG2rcuLHGjh1b4HFYtmyZXF1dNWnSJLm6umrjxo2KjIxUWlqaXnvtNen6fcmpqak6ceKE5s2bJ0lydXXNd5tPPfWUQkJCLJatW7dOy5cvl7e3t7ns3LlzBdaWo0aNGnJ0dCxS28Ls2bNHd955p0WQlqROnTpJ1y8Jr1+/vvbt26erV6+qQ4cOFu0cHBzUrl27XEH4ZidPntSxY8d011135bn+119/1eOPP66nnnpKQ4YM0euvv67evXsrJiZGL774op5++mlJUnR0tB599FElJibK3v7//vZ67do1PfDAA7rvvvs0Z84cLV++XBEREXJxcdFLL72kwYMHq3///oqJidGwYcMUHBwsf39/ixoCAwMtPsMAAACVngGUIcOGDTPs7e2NnTt35lqXnZ1tGIZhLF261JBkdOnSxbh69aq5/syZM4aDg4PRo0cP49q1a+byt99+25BkvPvuu4ZhGMaePXsMScbq1avzrWPevHmGJOPs2bPFqr8o/T744APD3t7e2LZtm8XymJgYQ5Lx/fffG4ZhGIcOHTLs7e2Nfv36WYznxmNhGIbRsmVLo2vXrrn2s2nTJkOSsWnTJsMwDCMzM9Pw9vY2WrVqZVy+fNlst3btWkOSERkZaS4bPny4IcmIioqy2Gb79u2NwMDAQo/DpUuXci176qmnjOrVqxtXrlwxl/Xq1cto2LBhodvLy6FDhwx3d3fjr3/9q8XnQFKRXkuXLs1zu2fPnjUkGTNmzChyLS1btjS6deuWa/n+/fsNSUZMTIxhGIaxevVqQ5KxdevWXG0HDBhg+Pr6Frif9evXG5KML774Ite6hg0bGpKM7du3m8u++eYbQ5Lh7OxsHD161Fz+z3/+0+KzYdzwNX/llVfMZX/++afh7Oxs2NnZGStXrjSX//zzz/keo1deecWQZCQnJxc4FgAAgMqCy8tRZmRnZ2vNmjXq3bt3rjOBknJdTjtq1ChVqVLFfL9+/XplZmZqwoQJFmfvRo0aJTc3N3355ZeSJHd3d0nSN998o0uXLuVZS84Z388++0zZ2dlFHkNR+q1evVrNmzdXQECAzp07Z766desmSdq0aZN0/TLi7OxsRUZGWownr2NRFLt27dKZM2f09NNPW9zr3atXLwUEBJjH50Y3T9Z177336vfffy90X87Ozub/X7hwQefOndO9996rS5cu6eeffy527TdLT09Xv379VLNmTf3nP/+x+BzExsYW6RUaGnrLdeS4fPlynmfNc47z5cuXLf6bX9uc9fn5448/JEk1a9bMc32LFi0UHBxsvg8KCpIkdevWTQ0aNMi1PK+v5ZNPPmn+v4eHh5o1ayYXFxc9+uij5vJmzZrJw8Mjz/45tRX1igMAAICKjsvLUWacPXtWaWlpatWqVZHa33xZa84zi5s1a2ax3MHBQXfccYe53t/fX5MmTdLcuXO1fPly3XvvverTp4+GDBliBvLHHntM//73v/Xkk0/qhRdeUPfu3dW/f3898sgjuQLwjYrS79ChQzp48GC+k3WdOXNGkvTbb7/J3t5eLVq0KNLxKEx+x0eSAgICcs2y7eTklKvGmjVr6s8//yx0X/v379e0adO0ceNGpaWlWay78b75kho1apR+++03bd++XV5eXhbrbr4E/XZwdnbO8378K1eumOtv/G9+bW/8Y0VB/ndCP7cbg7Vu+ANT/fr181x+89cyr6+5u7u76tWrl+sPPe7u7nl+FnJqK8kfhgAAACoiQjfKraIGlLy88cYbGjFihD777DN9++23euaZZxQdHa0dO3aoXr16cnZ21tatW7Vp0yZ9+eWXWrdunVatWqVu3brp22+/tTizenNNhfXLzs5W69atNXfu3Dy3cXNAspX8xliYlJQUde3aVW5uboqKilLjxo3l5OSk3bt3a8qUKcW6ciAvb775pv7zn//oww8/VLt27XKtT0pKKtJ23N3db+kzdKM6derkmoxOkk6fPi1J8vPzM9vduPzmtjnt8pPzB4b8/vCR39csv+U3h/db7X9jbbVq1cqzDwAAQGXD5eUoM2rXri03Nzf99NNPJerfsGFDSVJiYqLF8szMTB0+fNhcn6N169aaNm2atm7dqm3btunkyZOKiYkx19vb26t79+6aO3euDhw4oL///e/auHGjefl3fgrr17hxY50/f17du3dXSEhIrlfOmejGjRsrOztbBw4cKHB/RT2jmN/xyVl28/Epqc2bN+uPP/7QsmXL9Oyzz+qhhx5SSEhInpdEF/ds6LZt2/Tcc89pwoQJGjx4cJ5t6tSpU6TXqlWrSjzGm7Vr106//PJLrrP68fHx5npJatWqlapWrapdu3ZZtMvMzNTevXvz/CPCjQICAqTrjzcrqw4fPqxatWoV+7FrAAAAFRWhG2WGvb29+vbtqy+++CJXKFEBl9TmCAkJkYODgxYsWGDRdsmSJUpNTVWvXr2k649tunr1qkXf1q1by97e3rzs9/z587m2nxOI8ro0OEdR+j366KM6efKk/vWvf+Vqe/nyZXMm9r59+8re3l5RUVG5zg7fOD4XF5dcj0TLS4cOHeTt7a2YmBiLMXz99dc6ePCgeXxuVc5Z0RtrzMzM1KJFi3K1dXFxKfLl5qdPn9ajjz6qLl26mDOg58Xa93SfO3dOP//8s8V8AI888oiuXbumd955x1yWkZGhpUuXKigoyLx6wd3dXSEhIfrwww914cIFs+0HH3ygixcvasCAAQXuu27duqpfv36e3x9lRUJCgsV95QAAAJUdl5ejTHnllVf07bffqmvXrubjtE6fPq3Vq1fru+++s3ik1c1q166tqVOnatasWerZs6f69OmjxMRELVq0SB07dtSQIUMkSRs3blRERIQGDBigO++8U1evXtUHH3ygKlWqKCwsTJIUFRWlrVu3qlevXmrYsKHOnDmjRYsWqV69eurSpUu+NRSl39ChQ/XRRx9pzJgx2rRpk+655x5du3ZNP//8sz766CN988036tChg5o0aaKXXnpJL7/8su699171799fjo6O2rlzp/z8/BQdHS1df0TT4sWLNXv2bDVp0kTe3t7mpGw3qlatml599VWNHDlSXbt21aBBg8xHhjVq1EgTJ0685a+fJN19992qWbOmhg8frmeeeUZ2dnb64IMP8vyjSWBgoFatWqVJkyapY8eOcnV1Ve/evfPc7jPPPKOzZ89q8uTJWrlypcW6Nm3aqE2bNtIt3NP9wQcf6OjRo2aY3rp1q2bPni1d/5rlXAnw9ttva9asWdq0aZP5TPSgoCANGDBAU6dO1ZkzZ9SkSRO99957OnLkiJYsWWKxn7///e+6++67zc/4iRMn9MYbb6hHjx7q2bNnoXU+/PDD+vTTT2UYRpm7b/rMmTP68ccfNW7cOFuXAgAAUHbYevp04GZHjx41hg0bZtSuXdtwdHQ07rjjDmPcuHFGRkaGYdzwyLC8HitmXH9EWEBAgFGtWjXDx8fHGDt2rPHnn3+a63///XfjiSeeMBo3bmw4OTkZnp6exl/+8hdj/fr1ZpsNGzYYDz/8sOHn52c4ODgYfn5+xqBBg4xffvmlwNqL2i8zM9N49dVXjZYtWxqOjo5GzZo1jcDAQGPWrFlGamqqRdt3333XaN++vdmua9euRmxsrLk+KSnJ6NWrl1GjRg1Dkvn4sJsfGZZj1apV5vY8PT2NwYMHGydOnLBoM3z4cMPFxSXX+GbMmGEU5Z+N77//3ujcubPh7Oxs+Pn5GZMnTzYfX3VjPRcvXjQef/xxw8PDw5BU4OPDunbtmu/jv4rzeK+SbP/GmnOOwc3H9fLly8Zzzz1n+Pr6Go6OjkbHjh2NdevW5bmvbdu2GXfffbfh5ORk1K5d2xg3bpyRlpZWpDp3795tSMr1yLmGDRsavXr1ytVekjFu3DiLZYcPHzYkGa+99pq5LL+vedeuXY2WLVvmWp7X/hYvXmxUr169yGMBAACoDOyMwq7ZBQCUKd27d5efn58++OADW5dioX379rr//vs1b948W5cCAABQZhC6AaCciY+P17333qtDhw6V2gR4t2rdunV65JFH9Pvvv8vb29vW5QAAAJQZhG4AAAAAAKyE2csBAAAAALASQjcAAAAAAFZC6AYAAAAAwEoI3QAAAAAAWElVWxdQkWRnZ+vUqVOqUaOG7OzsbF0OAKCcMgxDFy5ckJ+fn+zt+fs4AADlGaG7FJ06dUr169e3dRkAgAri+PHjqlevnq3LAAAAt4DQXYpq1KghSRry2n/k4Fzd1uUU6tzx3/T5q5P0TpTUrJGtqwHKjsQj0uhIqc+UuapVv7Gty0EllHn5kj58fpD5cwUAAJRfhO5SlHNJuYNzdTk4u9i6nEJVc3SWJAW2kO5qaetqgLLD9frfzKo5OpeL72VUXNyqBABA+ceNYgAAAAAAWAmhGwAAAAAAKyF0AwAAAABgJYRuAAAAAACshNANAAAAAICVELoBAAAAALASQjcAAAAAAFZC6AYAAAAAwEoI3QAAAAAAWAmhGwAAAAAAKyF0AwAAAABgJYRuAAAAAACshNANAAAAAICVELoBAAAAALASQjcAAAAAAFZC6AYAAAAAwEoI3QAAAAAAWAmhGwAAAAAAKyF0AwAAAABgJYRuAAAAAACshNANAAAAAICVELoBAAAAALASQjcAAAAAAFZC6AYAAAAAwEoI3QAAAAAAWAmhGwAAAAAAKyF0AwAAAABgJYRuAAAAAACshNANAAAAAICVlLnQvXjxYrVp00Zubm5yc3NTcHCwvv76a3P9lStXNG7cOHl5ecnV1VVhYWFKTk4ucJuGYSgyMlJ16tSRs7OzQkJCdOjQIYs258+f1+DBg+Xm5iYPDw+Fh4fr4sWLVhsnAAAAAKDiK3Ohu169evrHP/6hhIQE7dq1S926ddPDDz+s/fv3S5ImTpyoL774QqtXr9aWLVt06tQp9e/fv8BtzpkzRwsWLFBMTIzi4+Pl4uKi0NBQXblyxWwzePBg7d+/X7GxsVq7dq22bt2q0aNHW328AAAAAICKq6qtC7hZ7969Ld7//e9/1+LFi7Vjxw7Vq1dPS5Ys0YoVK9StWzdJ0tKlS9W8eXPt2LFDnTt3zrU9wzA0f/58TZs2TQ8//LAk6f3335ePj4/WrFmjgQMH6uDBg1q3bp127typDh06SJLeeustPfjgg3r99dfl5+d3W8YOAAAAAKhYytyZ7htdu3ZNK1euVHp6uoKDg5WQkKCsrCyFhISYbQICAtSgQQPFxcXluY3Dhw8rKSnJoo+7u7uCgoLMPnFxcfLw8DADtySFhITI3t5e8fHx+daXkZGhtLQ0ixcAAAAAADnKZOjet2+fXF1d5ejoqDFjxujTTz9VixYtlJSUJAcHB3l4eFi09/HxUVJSUp7bylnu4+OTb5+kpCR5e3tbrK9atao8PT3z3a4kRUdHy93d3XzVr1+/xGMGAAAAAFQ8ZTJ0N2vWTHv37lV8fLzGjh2r4cOH68CBA7YuK5epU6cqNTXVfB0/ftzWJQEAAAAAypAyd0+3JDk4OKhJkyaSpMDAQO3cuVNvvvmmHnvsMWVmZiolJcXibHdycrJ8fX3z3FbO8uTkZNWpU8eiT7t27cw2Z86cseh39epVnT9/Pt/tSpKjo6McHR1vcbQAAAAAgIqqTJ7pvll2drYyMjIUGBioatWqacOGDea6xMREHTt2TMHBwXn29ff3l6+vr0WftLQ0xcfHm32Cg4OVkpKihIQEs83GjRuVnZ2toKAgq44NAAAAAFBxlbkz3VOnTtUDDzygBg0a6MKFC1qxYoU2b96sb775Ru7u7goPD9ekSZPk6ekpNzc3jR8/XsHBwRYzlwcEBCg6Olr9+vWTnZ2dJkyYoNmzZ6tp06by9/fX9OnT5efnp759+0qSmjdvrp49e2rUqFGKiYlRVlaWIiIiNHDgQGYuBwAAAACUWJkL3WfOnNGwYcN0+vRpubu7q02bNvrmm2/017/+VZI0b9482dvbKywsTBkZGQoNDdWiRYsstpGYmKjU1FTz/eTJk5Wenq7Ro0crJSVFXbp00bp16+Tk5GS2Wb58uSIiItS9e3dz+wsWLLiNIwcAAAAAVDRlLnQvWbKkwPVOTk5auHChFi5cmG8bwzAs3tvZ2SkqKkpRUVH59vH09NSKFStKUDEAAAAAAHkrc6EbAFB+XfgjWVcuptm6jHIvK+OyrUsAAAClhNANACgVF/5I1urpI5SZkWXrUgAAAMoMQjcAoFRcuZimzIwsfThHan6Hrasp3xIOSKMjbV0FAAAoDYRuAECpan6HdFdLW1dRvl28ZOsKAABAaSkXz+kGAAAAAKA8InQDAAAAAGAlhG4AAAAAAKyE0A0AAAAAgJUQugEAAAAAsBJCNwAAAAAAVkLoBgAAAADASgjdAAAAAABYCaEbAAAAAAArIXQDAAAAAGAlhG4AAAAAAKyE0A0AAAAAgJUQugEAAAAAsBJCNwAAAAAAVkLoBgAAAADASgjdAAAAAABYCaEbAAAAAAArIXQDAAAAAGAlhG4AAAAAAKyE0A0AAAAAgJUQugEAAAAAsBJCNwAAAAAAVkLoBgAAAADASgjdAAAAAABYCaEbAAAAAAArIXQDAAAAAGAlhG4AAAAAAKyE0A0AAAAAgJUQugEAAAAAsBJCNwAAAAAAVkLoBgAAAADASgjdAAAAAABYCaEbAAAAAAArIXQDAAAAAGAlhG4AAAAAAKykqq0LgO3tPmDrCoCy5eDvtq4AAAAAFQWhuxKr7u4pSRoVaetKgLLHwbGanFzdbF0GAAAAyjlCdyXm4uGloW+s0qXU87YuBShznFzdVMPLx9ZlAAAAoJwjdFdyLh5ecvHwsnUZAAAAAFAhMZEaAAAAAABWUuZCd3R0tDp27KgaNWrI29tbffv2VWJiokWbK1euaNy4cfLy8pKrq6vCwsKUnJxc4HYNw1BkZKTq1KkjZ2dnhYSE6NChQxZtzp8/r8GDB8vNzU0eHh4KDw/XxYsXrTJOAAAAAEDFV+ZC95YtWzRu3Djt2LFDsbGxysrKUo8ePZSenm62mThxor744gutXr1aW7Zs0alTp9S/f/8CtztnzhwtWLBAMTExio+Pl4uLi0JDQ3XlyhWzzeDBg7V//37FxsZq7dq12rp1q0aPHm3V8QIAAAAAKi47wzAMWxdRkLNnz8rb21tbtmzRfffdp9TUVNWuXVsrVqzQI488Ikn6+eef1bx5c8XFxalz5865tmEYhvz8/PS3v/1Nzz33nCQpNTVVPj4+WrZsmQYOHKiDBw+qRYsW2rlzpzp06CBJWrdunR588EGdOHFCfn5+hdaalpYmd3d3PfH2Z3Jwdin1YwEAZdnZo4f0/6LGKuFj6a6Wtq6mfNu6U+o67H8/q9zcmEUfAIDyrMyd6b5ZamqqJMnT83+Pt0pISFBWVpZCQkLMNgEBAWrQoIHi4uLy3Mbhw4eVlJRk0cfd3V1BQUFmn7i4OHl4eJiBW5JCQkJkb2+v+Pj4PLebkZGhtLQ0ixcAAAAAADnKdOjOzs7WhAkTdM8996hVq1aSpKSkJDk4OMjDw8OirY+Pj5KSkvLcTs5yHx+ffPskJSXJ29vbYn3VqlXl6emZ73ajo6Pl7u5uvurXr38LowUAAAAAVDRlOnSPGzdOP/30k1auXGnrUvI0depUpaammq/jx4/buiQAAAAAQBlSZp/THRERYU5mVq9ePXO5r6+vMjMzlZKSYnG2Ozk5Wb6+vnluK2d5cnKy6tSpY9GnXbt2ZpszZ85Y9Lt69arOnz+f73YdHR3l6Oh4iyMFkOPa1av67sP5Sjl92Nal4Dp3n3q6d9hzqlK1mq1LAQAAKJfKXOg2DEPjx4/Xp59+qs2bN8vf399ifWBgoKpVq6YNGzYoLCxMkpSYmKhjx44pODg4z236+/vL19dXGzZsMEN2Wlqa4uPjNXbsWElScHCwUlJSlJCQoMDAQEnSxo0blZ2draCgICuPGsC1q1e18Z2XdfS/2zXoQUNVy9y/TpVP0lnp622JavfgUHn41itCDwAAANyszP1aO27cOK1YsUKfffaZatSoYd5P7e7uLmdnZ7m7uys8PFyTJk2Sp6en3NzcNH78eAUHB1vMXB4QEKDo6Gj169dPdnZ2mjBhgmbPnq2mTZvK399f06dPl5+fn/r27StJat68uXr27KlRo0YpJiZGWVlZioiI0MCBA4s0czmAkrsxcP+/Nw316WbriqDrM2h/vc3WVQAAAJRvZS50L168WJJ0//33WyxfunSpRowYIUmaN2+e7O3tFRYWpoyMDIWGhmrRokUW7RMTE82ZzyVp8uTJSk9P1+jRo5WSkqIuXbpo3bp1cnJyMtssX75cERER6t69u7n9BQsWWHnEQOVG4AYAAEBFVuZCd1EeG+7k5KSFCxdq4cKFRd6OnZ2doqKiFBUVlW8fT09PrVixopgVAygpAjcAAAAqujI9ezmAiovADQAAgMqA0A3gtiNwAwAAoLIgdAO4rQjcAAAAqEwI3QBuGwI3AAAAKhtCN4DbgsANAACAyojQDcDqCNwAAACorAjdAKyKwA0AAIDKjNANwGoI3AAAAKjsCN0ArILADQAAABC6AVgBgRsAAAD4H0I3gFJF4AYAAAD+D6EbQKkhcAMAUDybN2+WnZ2dNm/ebOtSYAU//PCDHBwcdPToUVuXYlq3bp1cXV119uxZW5dSaRC6AZQKAjcAAPlbtGiRli1bZusySmTFihWaP3++rcuwsGTJEjVv3lxOTk5q2rSp3nrrrSL3zcjI0JQpU+Tn5ydnZ2cFBQUpNjY2z7bbt29Xly5dVL16dfn6+uqZZ57RxYsXi7yvl156SYMGDVLDhg2L3MfaevbsqSZNmig6OtrWpVQahG4At4zADQBAwfIL3ffdd58uX76s++67zyZ1FUVZC93//Oc/9eSTT6ply5Z66623FBwcrGeeeUavvvpqkfqPGDFCc+fO1eDBg/Xmm2+qSpUqevDBB/Xdd99ZtNu7d6+6d++uS5cuae7cuXryySf1zjvvaMCAAUXaz969e7V+/XqNGTOmROO0pqeeekr//Oc/deHCBVuXUilUtXUBAMo3AjcAoKjS09Pl4uJi6zLKFHt7ezk5Odm6jHLj8uXLeumll9SrVy99/PHHkqRRo0YpOztbL7/8skaPHq2aNWvm2/+HH37QypUr9dprr+m5556TJA0bNkytWrXS5MmTtX37drPtiy++qJo1a2rz5s1yc3OTJDVq1EijRo3St99+qx49ehRY69KlS9WgQQN17ty5lEZfesLCwjR+/HitXr1aTzzxhK3LqfA40w2gxAjcAFB5nTx5UuHh4fLz85Ojo6P8/f01duxYZWZmSpKWLVsmOzs7bdmyRU8//bS8vb1Vr149s/+iRYvUsmVLOTo6ys/PT+PGjVNKSorFPg4dOqSwsDD5+vrKyclJ9erV08CBA5Wammq2iY2NVZcuXeTh4SFXV1c1a9ZML774YqH1F6VfRkaGZsyYoSZNmsjR0VH169fX5MmTlZGRkWt7H374oTp16qTq1aurZs2auu+++/Ttt99K14Pa/v37tWXLFtnZ2cnOzk7333+/VMA93atXr1ZgYKCcnZ1Vq1YtDRkyRCdPnrRoM2LECLm6uurkyZPq27evXF1dVbt2bT333HO6du1aocfgs88+U69evcyvYePGjfXyyy9b9L3//vv15Zdf6ujRo2btjRo1ynebXbt2Vdu2bfNc16xZM4WGhhZaV0E2bdqkP/74Q08//bTF8nHjxik9PV1ffvllgf0//vhjValSRaNHjzaXOTk5KTw8XHFxcTp+/LgkKS0tTbGxsRoyZIgZuHU9oLu6uuqjjz4qtNY1a9aoW7dusrOzs1jeqFEjPfTQQ9q8ebM6dOggZ2dntW7d2vwMfPLJJ2rdurWcnJwUGBioPXv2WPTP+bofO3ZMDz30kFxdXVW3bl0tXLhQkrRv3z5169ZNLi4uatiwoVasWJGrNm9vb7Vp00afffZZoePAreNMN4ASIXADQOV16tQpderUSSkpKRo9erQCAgJ08uRJffzxx7p06ZIcHBzMtk8//bRq166tyMhIpaenS5JmzpypWbNmKSQkRGPHjlViYqIWL16snTt36vvvv1e1atWUmZmp0NBQZWRkaPz48fL19dXJkye1du1apaSkyN3dXfv379dDDz2kNm3aKCoqSo6Ojvr111/1/fffF1h/UfplZ2erT58++u677zR69Gg1b95c+/bt07x58/TLL79ozZo1ZttZs2Zp5syZuvvuuxUVFSUHBwfFx8dr48aN6tGjh+bPn6/x48fL1dVVL730kiTJx8cn3/qWLVumkSNHqmPHjoqOjlZycrLefPNNff/999qzZ488PDzMtteuXVNoaKiCgoL0+uuva/369XrjjTfUuHFjjR07tsDjsGzZMrm6umrSpElydXXVxo0bFRkZqbS0NL322mvS9XuSU1NTdeLECc2bN0+S5Orqmu82hw4dqlGjRumnn35Sq1atzOU7d+7UL7/8omnTppnL/vzzzyL9caB69eqqXr26JJkBtEOHDhZtAgMDZW9vrz179mjIkCH5bmvPnj268847LYK0JHXq1Em6fkl4/fr1tW/fPl29ejXXfhwcHNSuXbtcQfhmJ0+e1LFjx3TXXXfluf7XX3/V448/rqeeekpDhgzR66+/rt69eysmJkYvvvii+UeF6OhoPfroo0pMTJS9/f+dL7127ZoeeOAB3XfffZozZ46WL1+uiIgIubi46KWXXtLgwYPVv39/xcTEaNiwYQoODpa/v3+uY3bj5xjWQ+gGUGwEbgCo3KZOnaqkpCTFx8dbhJKoqCgZhmHR1tPTUxs2bFCVKlUkSWfPnlV0dLR69Oihr7/+2gwSAQEBioiI0IcffqiRI0fqwIEDOnz4sFavXq1HHnnE3F5kZKT5/7GxscrMzNTXX3+tWrVqFbn+ovRbsWKF1q9fry1btqhLly7m8latWmnMmDHavn277r77bv3666+KiopSv3799PHHH1sEo5xj0bdvX02bNs08Y12QrKwsTZkyRa1atdLWrVvNS8+7dOmihx56SPPmzdOsWbPM9leuXNFjjz2m6dOnS5LGjBmju+66S0uWLCk0dK9YsULOzs7m+zFjxmjMmDFatGiRZs+eLUdHR/31r39V3bp19eeffxZauyQNGDBA48eP14cffqh//OMf5vIPP/xQLi4u6t+/v7msffv2RZrVe8aMGZo5c6Yk6fTp06pSpYq8vb0t2jg4OMjLy0unTp0qcFunT59WnTp1ci3PWZbT//Tp0xbLb267bdu2Avfz888/S1KuoJsjMTFR27dvV3BwsCSpRYsWCg0N1ahRo/Tzzz+rQYMGkqSaNWvqqaee0tatW82rI3T96z5kyBBNnTpVkvT444/Lz89PTzzxhP7zn//osccekyT99a9/VUBAgN577z3zGOa44447dO7cOZ05cybX8UTp4vJyAMVC4AaAyi07O1tr1qxR7969c50FlJTrUtpRo0aZgVuS1q9fr8zMTE2YMMEioI4aNUpubm7m5cHu7u6SpG+++UaXLl3Ks5acM76fffaZsrOzizyGovRbvXq1mjdvroCAAJ07d858dev2vx98mzZtkq5fQpydna3IyEiL8eR1LIpi165dOnPmjJ5++mmLe7179eqlgICAPC+fvnmirnvvvVe///57ofu6MXBfuHBB586d07333qtLly6ZobG43N3d9fDDD+s///mP+UeHa9euadWqVerbt6/FPf3Lly9XbGxsoa9hw4aZfS5fvmxxJcWNnJycdPny5QLru3z5shwdHfPsm7P+xv/m17aw/fzxxx/S9dCclxYtWpiBW5KCgoIkSd26dTMD943L8/p6Pvnkk+b/e3h4qFmzZnJxcdGjjz5qLm/WrJk8PDzy7J9T27lz5wocC24dZ7oBFBmBGwBw9uxZpaWlWVw6XJCbz/TlnNls1qyZxXIHBwfdcccd5np/f39NmjRJc+fO1fLly3XvvfeqT58+GjJkiBnIH3vsMf373//Wk08+qRdeeEHdu3dX//799cgjj+QKwDcqSr9Dhw7p4MGDql27dp7bOHPmjCTpt99+k729vVq0aFGk41GY/I6Prl8NcPMM205OTrlqrFmzpv78889C97V//35NmzZNGzduVFpamsW6G++bL65hw4Zp1apV2rZtm+677z6tX79eycnJGjp0qEW7e+65p9jbdnZ2NucNuNmVK1cs/pCQX/+87sm/cuWKuf7G/+bXtrD95Lj5yo8cNwZr3fBHpvr16+e5/OavZ15fd3d3d9WrVy/XH3vc3d3z/Dzk1FaSPw6heAjdAIqEwA0AKImihpO8vPHGGxoxYoQ+++wzffvtt3rmmWcUHR2tHTt2qF69enJ2dtbWrVu1adMmffnll1q3bp1WrVqlbt266dtvv7U4w35zTYX1y87OVuvWrTV37tw8t3FzOLKV/MZYmJSUFHXt2lVubm6KiopS48aN5eTkpN27d2vKlCnFunLgZqGhofLx8dGHH36o++67Tx9++KF8fX0VEhJi0e7s2bNFuqfb1dXVvI+8Tp06unbtWq5LojMzM/XHH3/Iz8+vwG3VqVMn14R0uuFy8pz+OZeV5yy/uW1h+/Hy8pLyCMs58vu65bf85vB+q/1vrK04t2agZLi8HEChCNwAgBy1a9eWm5ubfvrppxL1b9iwoXT9ntYbZWZm6vDhw+b6HK1bt9a0adO0detWbdu2TSdPnlRMTIy53t7eXt27d9fcuXN14MAB/f3vf9fGjRvNy7/zU1i/xo0b6/z58+revbtCQkJyvXLORDdu3FjZ2dk6cOBAgfsr6tnE/I5PzrKbj09Jbd68WX/88YeWLVumZ599Vg899JBCQkLyvBy6uGdCq1Sposcff1wff/yx/vzzT61Zs0aDBg3KFQg7duyoOnXqFPp6/fXXzT7t2rWTrl+Gf6Ndu3YpOzvbXJ+fdu3a6Zdffsl1Zj8+Pt5i+61atVLVqlVz7SczM1N79+4tdD8BAQGSpMOHDxfYzpYOHz6sWrVq5Xs1B0oPoRtAgQjcAIAb2dvbq2/fvvriiy9yBRIVcDltjpCQEDk4OGjBggUWbZcsWaLU1FT16tVLuv7IpqtXr1r0bd26tezt7c1Lfs+fP59r+zlhKK/LgnMUpd+jjz6qkydP6l//+leutpcvXzZnYu/bt6/s7e0VFRWV6+zwjeNzcXHJ9Ui0vHTo0EHe3t6KiYmxGMPXX3+tgwcPmsfnVuUE4BtrzMzM1KJFi3K1dXFxKfbl5kOHDtWff/6pp556ShcvXsxzEraS3NPdrVs3eXp6avHixRbbWrx4sapXr25xfM6dO6eff/7ZYk6ARx55RNeuXdM777xjLsvIyNDSpUsVFBRkXsHg7u6ukJAQffjhh7pw4YLZ9oMPPtDFixc1YMCAAsdft25d1a9fP8/vkbIiISHB4r5yWA+XlwPIF4EbAJCXV155Rd9++626du1qPk7r9OnTWr16tb777juLR1rdrHbt2po6dapmzZqlnj17qk+fPkpMTNSiRYvUsWNHM5xt3LhRERERGjBggO68805dvXpVH3zwgapUqaKwsDDp+mzpW7duVa9evdSwYUOdOXNGixYtUr169SxmHL9ZUfoNHTpUH330kcaMGaNNmzbpnnvu0bVr1/Tzzz/ro48+0jfffKMOHTqoSZMmeumll/Tyyy/r3nvvVf/+/eXo6KidO3fKz89P0dHR0vXHMy1evFizZ89WkyZN5O3tbU7KdqNq1arp1Vdf1ciRI9W1a1cNGjTIfGRYo0aNNHHixFv++knS3XffrZo1a2r48OF65plnZGdnpw8++CDPP5oEBgZq1apVmjRpkjp27ChXV1f17t27wO23b99erVq1Mieky+vRWSW9p/vll1/WuHHjNGDAAIWGhmrbtm368MMP9fe//12enp5m27fffluzZs3Spk2bzJm/g4KCNGDAAE2dOlVnzpxRkyZN9N577+nIkSNasmSJxb7+/ve/6+677zY/5ydOnNAbb7yhHj16qGfPnoXW+vDDD+vTTz+VYRhl7r7pM2fO6Mcff9S4ceNsXUqlQOgGkCcCNwAgP3Xr1lV8fLymT5+u5cuXKy0tTXXr1tUDDzxgPk+5IDNnzlTt2rX19ttva+LEifL09NTo0aP1yiuvqFq1apKktm3bKjQ0VF988YVOnjyp6tWrq23btvr666/VuXNnSVKfPn105MgRvfvuuzp37pxq1aqlrl27atasWeYEVHkpSj97e3utWbNG8+bN0/vvv69PP/1U1atX1x133KFnn31Wd955p7m9qKgo+fv766233tJLL72k6tWrq02bNhYTh0VGRuro0aOaM2eOLly4oK5du+YZuiVpxIgRql69uv7xj39oypQpcnFxUb9+/fTqq68W+AeN4vDy8tLatWv1t7/9TdOmTVPNmjU1ZMgQde/eXaGhoRZtn376ae3du1dLly7VvHnz1LBhw0JDt65PqDZ58uRcE6jdqqefflrVqlXTG2+8oc8//1z169fXvHnz9Oyzzxap//vvv6/p06frgw8+0J9//qk2bdpo7dq1uu+++yza3XXXXVq/fr2mTJmiiRMnqkaNGgoPDzf/kFKYJ554Qm+//ba+//77Av8IZAuffPKJHB0dLWY6h/XYGYVdA4QiS0tLk7u7u554+zM5OLsUoQdQNhG4IUlbd0pdh0kD/75MHr71Cm1/9ugh/b+osUr4WLqr5W0pscLKOfapqalyc3OzdTkAUCJvvvmmJk6cqCNHjuSarbuy6N69u/z8/PTBBx/YuhQL7du31/3336958+bZupRKgXu6AVggcAMAgFtlGIaWLFmirl27VtrAreu3Yqxatcp8FFxZsG7dOh06dEhTp061dSmVBpeXAzARuAEAwK1IT0/X559/rk2bNmnfvn367LPPbF2STQUFBeX7XHFb6dmzpy5evGjrMioVQjcAicANAABKwdmzZ/X444/Lw8NDL774ovr06WPrkgCbI3QDIHADAIBS0ahRo0IfGwdUNtzTDVRyBG4AAADAegjdQCVG4AYAAACsi8vLgUqKwA2gssrOztapU6dUo0YN2dnZ2bocAEA5ZRiGLly4ID8/P9nb538+m9ANVEIEbgCV2alTp1S/fn1blwEAqCCOHz+uevXq5bue0A1UMgRuAJVdjRo1pOu/JLm5udm6HABAOZWWlqb69eubP1fyQ+gGKhECNwDIvKTczc2N0A0AuGWF3arERGpAJUHgBgAAAG4/QjdQCRC4AQAAANsgdAMVHIEbAAAAsB1CN1CBEbgBAAAA22IiNaCCInADQMH27t0rV1dXq2y7Vq1aatCggVW2nZ9jx47p3Llzt3WfAFAcFe3fxosXLxapHaEbqIAI3ABQuK5du1p1+0ePHr1tv1weO3ZMzZs306VLV27L/gCgpCrjv42EbqCCIXADQNkw7eMdcvE4dFv2deGPZF29du227AsAbkVl/LeR0A1UIARuACi6PlPmqpqjs1W2Xd3dUy4eXlbZdl5qePlowMvLdOVi2m3bJwAUV0X7tzEr47I+f3VSoe3KXOjeunWrXnvtNSUkJOj06dP69NNP1bdvX3O9YRiaMWOG/vWvfyklJUX33HOPFi9erKZNmxa43YULF+q1115TUlKS2rZtq7feekudOnUy11+5ckV/+9vftHLlSmVkZCg0NFSLFi2Sj4+PVccLlBYCNwAUT636jeXg7GLrMkpNDS8f1fDi9xYAuJE1/23MvJxepHZlbvby9PR0tW3bVgsXLsxz/Zw5c7RgwQLFxMQoPj5eLi4uCg0N1ZUr+V+nv2rVKk2aNEkzZszQ7t271bZtW4WGhurMmTNmm4kTJ+qLL77Q6tWrtWXLFp06dUr9+/e3yhiB0kbgBgAAAMqmMhe6H3jgAc2ePVv9+vXLtc4wDM2fP1/Tpk3Tww8/rDZt2uj999/XqVOntGbNmny3OXfuXI0aNUojR45UixYtFBMTo+rVq+vdd9+VJKWmpmrJkiWaO3euunXrpsDAQC1dulTbt2/Xjh07rDpe4FYRuAGUdQsXLlSjRo3k5OSkoKAg/fDDDwW2X716tQICAuTk5KTWrVvrq6++slhvGIYiIyNVp04dOTs7KyQkRIcO3Z77AwEAKK4yF7oLcvjwYSUlJSkkJMRc5u7urqCgIMXFxeXZJzMzUwkJCRZ97O3tFRISYvZJSEhQVlaWRZuAgAA1aNAg3+1KUkZGhtLS0ixewO1E4AZQ1hXlarMbbd++XYMGDVJ4eLj27Nmjvn37qm/fvvrpp5/MNiW56g0AAFspV6E7KSlJknLdZ+3j42Ouu9m5c+d07dq1AvskJSXJwcFBHh4eRd6uJEVHR8vd3d181a9fv8RjA4qLwA2gPCjsarObvfnmm+rZs6eef/55NW/eXC+//LLuuusuvf3229ItXPUGAICtlLmJ1MqTqVOnatKk/5utLi0tjeCN24LADaA8yLnabOrUqeaym682u1lcXJzFz1ZJCg0NNQN1YVe9DRw4MNc2MzIylJGRYb6v7FemnT16SOeOFnw5/pWLacrKuFyk7VVzdJaTq1uBbWo1bKraDQue9BZA6eB7vOwpV6Hb19dXkpScnKw6deqYy5OTk9WuXbs8+9SqVUtVqlRRcnKyxfLk5GRze76+vsrMzFRKSorF2e4b2+TF0dFRjo6OtzwuoDgI3ADKi4KuNvv555/z7JOUlFTo1Wkq5lVv0dHRmjVrVq7l84beLze3gn+RrIjs7EKK0Kr0GYZhk/0ClQ3f47dPWlqa3o0ovF25Ct3+/v7y9fXVhg0bzJCdlpam+Ph4jR07Ns8+Dg4OCgwM1IYNG8xHj2VnZ2vDhg2KiPjfEQoMDFS1atW0YcMGhYWFSZISExN17NgxBQcH37bxAYUhcANA8XFlmqWEhATt3r073/VHjx7V7NmzFR4m1ald8LZOn5WW/D9p2rRpatiwYb7t7rrrrlspGUAx8D1e9pS50H3x4kX9+uuv5vvDhw9r79698vT0VIMGDTRhwgTNnj1bTZs2lb+/v6ZPny4/Pz+LZ3l3795d/fr1M0P1pEmTNHz4cHXo0EGdOnXS/PnzlZ6erpEjR0rXL0sLDw/XpEmT5OnpKTc3N40fP17BwcHq3LmzDY4CkBuBG0B5U5SrzW7m6+tb6NVpKuZVb1yZZumuu+4q8Bfk3bt3a/bs2Xp6kHRXy4K3tXv//34h79evH790A2UE3+NlT5mbSG3Xrl1q37692rdvL10PzO3bt1dkZKQkafLkyRo/frxGjx6tjh076uLFi1q3bp2cnJzMbfz22286d+6c+f6xxx7T66+/rsjISLVr10579+7VunXrLC5Nmzdvnh566CGFhYXpvvvuk6+vrz755JPbOnYgPwRuAOXRjVeb5ci52iy/K8mCg4Mt2ktSbGys2f7Gq95y5Fz1xtVpAICyqMyd6b7//vsLvB/Azs5OUVFRioqKyrfNkSNHci2LiIgwz3znxcnJSQsXLtTChQtLUDVgPQRuAOVZYVebDRs2THXr1lV0dLQk6dlnn1XXrl31xhtvqFevXlq5cqV27dqld955R7r+e0BRrnoDAKCsKHOhG8D/IXADKO8ee+wxnT17VpGRkUpKSlK7du0srjY7duyY7O3/78K7u+++WytWrNC0adP04osvqmnTplqzZo1atWpltpk8ebLS09M1evRopaSkqEuXLrmuegMAoKwgdANlFIEbQEVR0NVmmzdvzrVswIABGjBgQL7bK8pVbwAAlBVl7p5uAARuAAAAoKIgdANlDIEbAAAAqDgI3UAZQuAGAAAAKhZCN1BGELgBAACAioeJ1Kzg3PHfVM3R2dZllHtOrm6q4eVThJblH4EbAAAAqJgI3Vbw+auTbF1CheDgWE0DXl5W4YM3gRsAAACouAjdVvBOlBTYwtZVlG8Hf5eGTM7SlYtpFTp0E7gBAACAio3QbQXNGkl3tbR1FSjrCNwAAABAxcdEaoANELgBAACAyoHQDdxmBG4AAACg8iB0A7cRgRsAAACoXAjdwG1C4AYAAAAqH0I3cBsQuAEAAIDKidANWBmBGwAAAKi8CN2AFRG4AQAAgMqN0A1YCYEbAAAAAKEbsAICNwAAAAARuoHSR+AGAAAAkIPQDZQiAjcAAACAGxG6gVJC4AYAAABwM0I3UAoI3AAAAADyQugGbhGBGwAAAEB+CN3ALSBwAwAAACgIoRsoIQI3AAAAgMJULUmnY8eO6ejRo7p06ZJq166tli1bytHRsfSrA8ooAjeA8iAjI0Px8fEWP7Pbt28vf39/W5cGAEClUeTQfeTIES1evFgrV67UiRMnZBiGuc7BwUH33nuvRo8erbCwMNnbcwIdFReBG0BZ9/333+vNN9/UF198oaysLLm7u8vZ2Vnnz59XRkaG7rjjDo0ePVpjxoxRjRo1bF0uAAAVWpHS8TPPPKO2bdvq8OHDmj17tg4cOKDU1FRlZmYqKSlJX331lbp06aLIyEi1adNGO3futH7lgA0QuAGUdX369NFjjz2mRo0a6dtvv9WFCxf0xx9/6MSJE7p06ZIOHTqkadOmacOGDbrzzjsVGxtr65IBAKjQinSm28XFRb///ru8vLxyrfP29la3bt3UrVs3zZgxQ+vWrdPx48fVsWNHa9QL2AyBG0B50KtXL/2///f/VK1atTzX33HHHbrjjjs0fPhwHThwQKdPn77tNQIAUJkUKXRHR0cXeYM9e/a8lXqAMonADaC8eOqpp4rctkWLFmrRooVV6wEAoLIr0URqQGVC4AZQEVy8eFHZ2dkWy9zc3GxWDwAAlUWxZzz7448/NG7cOLVo0UK1atWSp6enxQuoSAjcAMqzw4cPq1evXnJxcZG7u7tq1qypmjVrysPDQzVr1rT6/keMGCE7OzuLV1GuiFu4cKEaNWokJycnBQUF6YcffrBYf+XKFY0bN05eXl5ydXVVWFiYkpOTrTgSAABKrthnuocOHapff/1V4eHh8vHxkZ2dnXUqA2yMwA2gvBsyZIgMw9C7775rs5/ZPXv21NKlS833hT1idNWqVZo0aZJiYmIUFBSk+fPnKzQ0VImJifL29pYkTZw4UV9++aVWr14td3d3RUREqH///vr++++tPh4AAIqr2KF727Zt+u6779S2bVvrVASUAQRuABXBf//7XyUkJKhZs2Y2q8HR0VG+vr5Fbj937lyNGjVKI0eOlCTFxMToyy+/1LvvvqsXXnhBqampWrJkiVasWKFu3f73j/PSpUvVvHlz7dixQ507d7baWAAAKIliX14eEBCgy5cvW6caoAwgcAOoKDp27Kjjx4/btIbNmzfL29tbzZo109ixY/XHH3/k2zYzM1MJCQkKCQkxl9nb2yskJERxcXGSpISEBGVlZVm0CQgIUIMGDcw2N8vIyFBaWprFCwCA26XYZ7oXLVqkF154QZGRkWrVqlWuR5IwKQvKMwI3gIrk3//+t8aMGaOTJ0/m+TO7TZs2Vt1/z5491b9/f/n7++u3337Tiy++qAceeEBxcXGqUqVKrvbnzp3TtWvX5OPjY7Hcx8dHP//8syQpKSlJDg4O8vDwyNUmKSkpzzqio6M1a9asUh0bAABFVezQ7eHhobS0NPOSrhyGYcjOzk7Xrl0rzfqA24bADaCiOXv2rH777TfzUm1JsrOzs8rP7OXLl1s8ruzrr7/WwIEDzfetW7dWmzZt1LhxY23evFndu3cvtX0XZurUqZo0aZL5Pi0tTfXr179t+wcAVG7FDt2DBw9WtWrVtGLFCiZSQ4VB4AZQET3xxBNq3769/vOf/1j9Z3afPn0UFBRkvq9bt26uNnfccYdq1aqlX3/9Nc/QXatWLVWpUiXXTOTJycnmfeG+vr7KzMxUSkqKxdnuG9vczNHRsdAJ3AAAsJZih+6ffvpJe/bssemkLEBpInADqKiOHj2qzz//XE2aNLH6vmrUqKEaNWoU2ObEiRP6448/VKdOnTzXOzg4KDAwUBs2bFDfvn0lSdnZ2dqwYYMiIiIkSYGBgapWrZo2bNigsLAwSVJiYqKOHTum4ODgUh8XAAC3qtgTqXXo0MHmk7IApYXADeTNMKQ1G/73//Z53HuL8qFbt27673//a5N9X7x4Uc8//7x27NihI0eOaMOGDXr44YfVpEkThYaGmu26d++ut99+23w/adIk/etf/9J7772ngwcPauzYsUpPTzcvkXd3d1d4eLgmTZqkTZs2KSEhQSNHjlRwcDAzlwMAyqRin+keP368nn32WT3//PNq3br1bZ+UBSgtBG4gb4YhTZ0rzXtPCn5sjNxq531WEmVf7969NXHiRO3bty/Pn9l9+vSx2r6rVKmiH3/8Ue+9955SUlLk5+enHj166OWXX7a41Pu3337TuXPnzPePPfaYzp49q8jISCUlJaldu3Zat26dxeRq8+bNk729vcLCwpSRkaHQ0FAtWrTIamMBAOBWFDt0P/bYY9L1+8RyWGtSFsBaCNxA3nIC96v//l/gbtvjEVuXhFswZswYSVJUVFSuddb+me3s7Kxvvvmm0HZHjhzJtSwiIsK8nDwvTk5OWrhwoRYuXHjLdQIAYG3FDt2HDx+2TiXAbULgBvJG4K54srOzbV0CAACVXrFDd8OGDa1TCXAbELiBvBG4AQAArKPYoVuSTp06pe+++05nzpzJ9Vf0Z555prRqK9DChQv12muvKSkpSW3bttVbb72lTp065dt+9erVmj59uo4cOaKmTZvq1Vdf1YMPPmiuNwxDM2bM0L/+9S+lpKTonnvu0eLFi9W0adPbMh5YH4EbyBuBu2LbuXOnNm3alOfP7Llz59qsLgAAKotih+5ly5bpqaeekoODg7y8vCye+WlnZ3dbQveqVas0adIkxcTEKCgoSPPnz1doaKgSExPl7e2dq/327ds1aNAgRUdH66GHHtKKFSvUt29f7d69W61atZIkzZkzRwsWLNB7770nf39/TZ8+XaGhoTpw4ICcnJysPiZYF4EbyBuBu2J75ZVXNG3aNDVr1izXc7qt+cxuAADwf4oduqdPn67IyEhNnTpV9vbFfuJYqZg7d65GjRplPj4kJiZGX375pd5991298MILudq/+eab6tmzp55//nlJ0ssvv6zY2Fi9/fbbiomJkWEYmj9/vqZNm6aHH35YkvT+++/Lx8dHa9as0cCBA2/zCFGaCNxA3gjcFd+bb76pd999VyNGjLB1KQAAVFrFTs2XLl3SwIEDbRa4MzMzlZCQoJCQEHOZvb29QkJCFBcXl2efuLg4i/aSFBoaarY/fPiwkpKSLNq4u7srKCgo321KUkZGhtLS0ixeKFsI3EDeCNyVg729ve655x5blwEAQKVW7OQcHh6u1atXW6eaIjh37pyuXbtm8bxOSfLx8VFSUlKefZKSkgpsn/Pf4mxTkqKjo+Xu7m6+6tevX+JxofQRuIG8Ebgrj4kTJ/JYLQAAbKzYl5fn3Be9bt06tW7dWtWqVbNYX5kmZZk6daomTZpkvk9LSyN4lxEEbiBvBO7K5bnnnlOvXr3UuHFjtWjRItfP7E8++cRmtQEAUFmUKHR/8803atasmXTTRCy3Y1KWWrVqqUqVKkpOTrZYnpycLF9f3zz7+Pr6Ftg+57/JycmqU6eORZt27drlW4ujo6McHR1vaTwofQRuIG8E7srnmWee0aZNm/SXv/wl1+SnAADg9ih26H7jjTdsOimLg4ODAgMDtWHDBvXt21eSlJ2drQ0bNigiIiLPPsHBwdqwYYMmTJhgLouNjVVwcLAkyd/fX76+vtqwYYMZstPS0hQfH6+xY8felnGhdBC4gbwRuCun9957T//v//0/9erVy9alAABQaRU7dDs6Otp8UpZJkyZp+PDh6tChgzp16qT58+crPT3dnM182LBhqlu3rqKjoyVJzz77rLp27ao33nhDvXr10sqVK7Vr1y6988470vUz9BMmTNDs2bPVtGlT85Fhfn5+ZrBH2UfgBvJG4K68PD091bhxY1uXAQBApVbsidSeffZZvfXWW9appogee+wxvf7664qMjFS7du20d+9erVu3zpwI7dixYzp9+rTZ/u6779aKFSv0zjvvqG3btvr444+1Zs0a8xndkjR58mSNHz9eo0ePVseOHXXx4kWtW7eOZ3SXEwRuIG8E7spt5syZmjFjhi5dumTrUgAAqLSKfab7hx9+0MaNG7V27Vq1bNnSZpOyRERE5Hs5+ebNm3MtGzBggAYMGJDv9uzs7BQVFaWoqKhSrRPWR+AG8kbgxoIFC/Tbb7/Jx8dHjRo1yvUze/fu3TarDQCAyqLYodvDw0P9+/e3TjVACexa828CN3ATAjckcYsUAABlQLFD99KlS61TCVBC//32Ew3tTeAGchC4kWPGjBm2LgEAgEqv2Pd0A2VN9rVs3dPe1lUAZQOBG4Zh2LoEAABwgyKF7p49e2rHjh2Ftrtw4YJeffVVLVy4sDRqAwAUA4EbktSyZUutXLlSmZmZBbY7dOiQxo4dq3/84x+3rTYAACqjIl1ePmDAAIWFhcnd3V29e/dWhw4d5OfnJycnJ/355586cOCAvvvuO3311Vfq1auXXnvtNetXDgAwEbiR46233tKUKVP09NNP669//Wu+P7P379+viIgIjR071tYlAwBQoRUpdIeHh2vIkCFavXq1Vq1apXfeeUepqanS9Vm/W7RoodDQUO3cuVPNmze3ds0AgBsQuHGj7t27a9euXfruu++0atUqLV++XEePHtXly5dVq1YttW/fXsOGDdPgwYNVs2ZNW5cLAECFV+SJ1BwdHTVkyBANGTJEkpSamqrLly/Ly8sr1yNIAAC3B4Eb+enSpYu6dOli6zIAAKj0ij17eQ53d3e5u7uXbjUAgCIjcAMAAJR9zF4OAOUQgRsAAKB8IHQDQDlD4AYAACg/CN0AUI4QuAEAAMoXQjcAlBMEbgAAgPKn2KF7+PDh2rp1q3WqAQDkicCNkujWrZtmzZqVa/mff/6pbt262aQmAAAqm2KH7tTUVIWEhKhp06Z65ZVXdPLkSetUBgCQCNy4BZs3b9bbb7+tvn37Kj093VyemZmpLVu22LQ2AAAqi2KH7jVr1ujkyZMaO3asVq1apUaNGumBBx7Qxx9/rKysLOtUCQCVFIEbt2r9+vVKSkpS586ddeTIEVuXAwBApVOie7pr166tSZMm6b///a/i4+PVpEkTDR06VH5+fpo4caIOHTpU+pUCQCVD4EZpqFOnjrZs2aLWrVurY8eO2rx5s61LAgCgUrmlidROnz6t2NhYxcbGqkqVKnrwwQe1b98+tWjRQvPmzSu9KgGgkiFwozTY2dlJkhwdHbVixQo9++yz6tmzpxYtWmTr0gAAqDSqFrdDVlaWPv/8cy1dulTffvut2rRpowkTJujxxx+Xm5ubJOnTTz/VE088oYkTJ1qjZgCo0AjcKC2GYVi8nzZtmpo3b67hw4fbrCYAACqbYp/prlOnjkaNGqWGDRvqhx9+0K5duzRmzBgzcEvSX/7yF3l4eJR2rQBQ4RG4UZoOHz6s2rVrWywLCwtTfHy83n333Vva9ieffKIePXrIy8tLdnZ22rt3b642V65c0bhx4+Tl5SVXV1eFhYUpOTm5wO0ahqHIyEjVqVNHzs7OCgkJyXXb2vnz5zV48GC5ubnJw8ND4eHhunjx4i2NBwAAayl26J43b55OnTqlhQsXql27dnm28fDw0OHDh0ujPgCoNAjcKG0NGzY0LzG/UcuWLW/5bHd6erq6dOmiV199Nd82EydO1BdffKHVq1dry5YtOnXqlPr371/gdufMmaMFCxYoJiZG8fHxcnFxUWhoqK5cuWK2GTx4sPbv36/Y2FitXbtWW7du1ejRo29pPAAAWEuxLy8fOnSodSoBgEqMwI3yJuf3gfxmRE9NTdWSJUu0YsUK85ngS5cuVfPmzbVjxw517tw5Vx/DMDR//nxNmzZNDz/8sCTp/fffl4+Pj9asWaOBAwfq4MGDWrdunXbu3KkOHTpIkt566y09+OCDev311+Xn52fFUQMAUHy3NJEaAODWEbhRESUkJCgrK0shISHmsoCAADVo0EBxcXF59jl8+LCSkpIs+ri7uysoKMjsExcXJw8PDzNwS1JISIjs7e0VHx+f53YzMjKUlpZm8QIA4HYhdAOADRG4UVElJSXJwcEh1xwvPj4+SkpKyrdPTpv8+iQlJcnb29tifdWqVeXp6ZnvdqOjo+Xu7m6+6tevf0tjAwCgOAjdAGAjBG6UF8uXL5erq6v52rZtm61LKpapU6cqNTXVfB0/ftzWJQEAKpFi39MNALh1BG6UJ3369FFQUJD5vm7duoX28fX1VWZmplJSUizOdicnJ8vX1zffPjlt6tSpY9EnZ/JWX19fnTlzxqLf1atXdf78+Xy36+joKEdHx0JrBgDAGjjTDQC3GYEb5U2NGjXUpEkT8+Xs7Fxon8DAQFWrVk0bNmwwlyUmJurYsWMKDg7Os4+/v798fX0t+qSlpSk+Pt7sExwcrJSUFCUkJJhtNm7cqOzsbIs/DAAAUFZwphsAbiMCNyqK8+fP69ixYzp16pR0PVDr+ploX19fubu7Kzw8XJMmTZKnp6fc3Nw0fvx4BQcHW8xcHhAQoOjoaPXr1092dnaaMGGCZs+eraZNm8rf31/Tp0+Xn5+f+vbtK0lq3ry5evbsqVGjRikmJkZZWVmKiIjQwIEDmbkcAFAmEboB4DYhcKMi+fzzzzVy5Ejz/cCBAyVJM2bM0MyZMyVJ8+bNk729vcLCwpSRkaHQ0FAtWrTIYjuJiYlKTU0130+ePFnp6ekaPXq0UlJS1KVLF61bt05OTk5mm+XLlysiIkLdu3c3t79gwYLbMGoAAIqP0A0AtwGBGxXNiBEjNGLEiALbODk5aeHChVq4cGG+bQzDsHhvZ2enqKgoRUVF5dvH09NTK1asKEHVAADcftzTDQBWRuAGAACovAjdAGBFBG4AAIDKjdANAFZC4AYAAAChGwCsgMANAAAAMZEaAJS+yh64dx+wdQXlX+IRW1cAAABKC6EbAEpRZQ7c1d09JUmjIm1dCQAAQNlB6AaAUlKZA7ckuXh4aegbq3Qp9bytSyn3sjIu6/NXJ9m6DAAAUAoI3QBQCip74M7h4uElFw8vW5dR7mVeTrd1CQAAoJQwkRoA3CICNwAAAPJD6AaAW0DgBgAAQEEI3QBQQgRuAAAAFIbQDQAlQOAGAABAURC6AaCYCNwAAAAoKkI3ABQDgRsAAADFQegGgCIicAMAAKC4ylTo/uSTT9SjRw95eXnJzs5Oe/fuzdXmypUrGjdunLy8vOTq6qqwsDAlJycXuF3DMBQZGak6derI2dlZISEhOnTokEWb8+fPa/DgwXJzc5OHh4fCw8N18eLFUh8jgPKJwA0AAICSKFOhOz09XV26dNGrr76ab5uJEyfqiy++0OrVq7VlyxadOnVK/fv3L3C7c+bM0YIFCxQTE6P4+Hi5uLgoNDRUV65cMdsMHjxY+/fvV2xsrNauXautW7dq9OjRpTo+AOUTgRsAAAAlVdXWBdxo6NChkqQjR47kuT41NVVLlizRihUr1K1bN0nS0qVL1bx5c+3YsUOdO3fO1ccwDM2fP1/Tpk3Tww8/LEl6//335ePjozVr1mjgwIE6ePCg1q1bp507d6pDhw6SpLfeeksPPvigXn/9dfn5+Vlx1ADKMgI3AAAAbkWZOtNdmISEBGVlZSkkJMRcFhAQoAYNGiguLi7PPocPH1ZSUpJFH3d3dwUFBZl94uLi5OHhYQZuSQoJCZG9vb3i4+PzrScjI0NpaWkWLwAVB4EbAAAAt6pche6kpCQ5ODjIw8PDYrmPj4+SkpLy7ZPTJr8+SUlJ8vb2tlhftWpVeXp65rtdSYqOjpa7u7v5ql+/fonHBqBsIXADAACgNNgsdC9fvlyurq7ma9u2bbYqpcSmTp2q1NRU83X8+HFblwSgFBC4AQAAUFpsdk93nz59FBQUZL6vW7duoX18fX2VmZmplJQUi7PdycnJ8vX1zbdPTps6depY9GnXrp3Z5syZMxb9rl69qvPnz+e7XUlydHSUo6NjoXUDKD8I3AAAAChNNjvTXaNGDTVp0sR8OTs7F9onMDBQ1apV04YNG8xliYmJOnbsmIKDg/Ps4+/vL19fX4s+aWlpio+PN/sEBwcrJSVFCQkJZpuNGzcqOzvb4g8DACo2AjcAAABKW5mavfz8+fM6duyYTp06JV0P1Lp+JtrX11fu7u4KDw/XpEmT5OnpKTc3N40fP17BwcEWM5cHBAQoOjpa/fr1k52dnSZMmKDZs2eradOm8vf31/Tp0+Xn56e+fftKkpo3b66ePXtq1KhRiomJUVZWliIiIjRw4EBmLgcqCQI3AAAArKFMhe7PP/9cI0eONN8PHDhQkjRjxgzNnDlTkjRv3jzZ29srLCxMGRkZCg0N1aJFiyy2k5iYqNTUVPP95MmTlZ6ertGjRyslJUVdunTRunXr5OTkZLZZvny5IiIi1L17d3P7CxYsuA2jBmBrBG4AAABYS5kK3SNGjNCIESMKbOPk5KSFCxdq4cKF+bYxDMPivZ2dnaKiohQVFZVvH09PT61YsaIEVQMozwjcQOW1d+9eubq62roMm6lVq5YaNGhg1X0cO3ZM586ds+o+AOStTp06FnNaWUNl/x6/ePFikdqVqdANALcTgRuo3Lp27WrrEmyqenUnHTyYmG/w3n2g8G0c/D3/dceOHVPz5s106dKVW6gSwK04depUvsGb7/Hbh9ANoFIicANA3nJ+QR8VWbT21as7qVatWtYtCkCJZGVl5VrG9/jtR+gGUOkQuAFI0pYtW7i8PI+z3HXq1NGpU6d0+vTpW9pOgwYNdPBgYqW+9BSwJb7Hre/ixYtFumqK0A2gUiFwA8jRrl07ubm52bqMMqm07gVt0KCB1e8bB1B8fI+XjrS0tCK1s9lzugHgdiNwA6Xnk08+UY8ePeTl5SU7Ozvt3bs3V5v7779fdnZ2Fq8xY8YUuF3DMBQZGak6derI2dlZISEhOnTokEWb8+fPa/DgwXJzc5OHh4fCw8OLPJkNAAC3G6EbQKVA4AZKV3p6urp06aJXX321wHajRo3S6dOnzdecOXMKbD9nzhwtWLBAMTExio+Pl4uLi0JDQ3Xlyv9N1DN48GDt379fsbGxWrt2rbZu3arRo0eX2tgAAChNXF4OoMIjcAOlb+jQoZKkI0eOFNiuevXq8vX1LdI2DcPQ/PnzNW3aND388MOSpPfff18+Pj5as2aNBg4cqIMHD2rdunXauXOnOnToIEl666239OCDD+r111+Xn5/fLY8NAIDSROgGUKERuAHbWr58uT788EP5+vqqd+/emj59uqpXr55n28OHDyspKUkhISHmMnd3dwUFBSkuLk4DBw5UXFycPDw8zMAtSSEhIbK3t1d8fLz69euXa7sZGRnKyMgw36empkrFuBcPAIC85PwcMQyjwHaEbgAVFoEbsK3HH39cDRs2lJ+fn3788UdNmTJFiYmJ+uSTT/Jsn5SUJEny8fGxWO7j42OuS0pKkre3t8X6qlWrytPT02xzs+joaM2aNSvX8vr165d4bAAA5Lhw4YLc3d3zXU/oBlAhEbiB0rN8+XI99dRT5vuvv/5a9957b6H9brzPunXr1qpTp466d++u3377TY0bN7ZavTebOnWqJk2aZL7Pzs7W+fPnzUngbC0tLU3169fX8ePHmU39FnEsSw/HsvRwLEtPWTuWhmHowoULhd7aROgGUOEQuIHS1adPHwUFBZnv69atW6Lt5Gzj119/zTN059z7nZycbPEom+TkZLVr185sc+bMGYt+V69e1fnz5/O9d9zR0VGOjo4Wyzw8PEo0Bmtyc3MrE79EVgQcy9LDsSw9HMvSU5aOZUFnuHMwezmACoXADZS+GjVqqEmTJubL2dm5RNvJeaxYfs+G9ff3l6+vrzZs2GAuS0tLU3x8vIKDgyVJwcHBSklJUUJCgtlm48aNys7OtvjDAAAAZQVnugFUGARu4PY5f/68jh07plOnTkmSEhMTpetnon19ffXbb79pxYoVevDBB+Xl5aUff/xREydO1H333ac2bdqY2wkICFB0dLT69esnOzs7TZgwQbNnz1bTpk3l7++v6dOny8/PT3379pUkNW/eXD179tSoUaMUExOjrKwsRUREaODAgcxcDgAokwjdACoEAjdwe33++ecaOXKk+X7gwIGSpBkzZmjmzJlycHDQ+vXrNX/+fKWnp6t+/foKCwvTtGnTLLaTmJhoziYuSZMnT1Z6erpGjx6tlJQUdenSRevWrZOTk5PZZvny5YqIiFD37t1lb2+vsLAwLViw4LaM2xocHR01Y8aMXJfAo/g4lqWHY1l6OJalp7weSzujsPnNUWRpaWlyd3fXlvel+zrauprybfd+KfARKSxysWo3bFpg25jwEL0zSxr16G0rD2UMgRsVTebldL0b8bBSU1PLzD1rAACgZLinG0C5RuAGAABAWUboBlBuEbgBAABQ1hG6AZRLBG4AAACUB4RuAOUOgRsAAADlBaEbQLlC4AYAAEB5QugGUG4QuAGURVlZWZoyZYpat24tFxcX+fn5adiwYeYzzHOcP39egwcPlpubmzw8PBQeHq6LFy8WuO0rV65o3Lhx8vLykqurq8LCwpScnGzR5tixY+rVq5eqV68ub29vPf/887p69apVxno7fPLJJ+rRo4e8vLxkZ2envXv35mpTlONyM8MwFBkZqTp16sjZ2VkhISE6dOiQRZuSfI3Kk4ULF6pRo0ZycnJSUFCQfvjhhwLbr169WgEBAXJyclLr1q311VdfWawvyjEt77Zu3arevXvLz89PdnZ2WrNmjcX6kh6Dwr4WJfmMl2XR0dHq2LGjatSoIW9vb/Xt21eJiYkWbSry9zWhG0C5QOAGUFZdunRJu3fv1vTp07V792598sknSkxMVJ8+fSzaDR48WPv371dsbKzWrl2rrVu3avTo0QVue+LEifriiy+0evVqbdmyRadOnVL//v3N9deuXVOvXr2UmZmp7du367333tOyZcsUGRlptfFaW3p6urp06aJXX3013zaFHZe8zJkzRwsWLFBMTIzi4+Pl4uKi0NBQXblyxWxTkq9RebFq1SpNmjRJM2bM0O7du9W2bVuFhobqzJkzebbfvn27Bg0apPDwcO3Zs0d9+/ZV37599dNPP5ltinJMy7v09HS1bdtWCxcuzHN9SY5BUb4WJfmMl2VbtmzRuHHjtGPHDsXGxiorK0s9evRQenq62aYif1/znO5SxHO6Sw/P6caNCNyobHhOd/m3c+dOderUSUePHlWDBg108OBBtWjRQjt37lSHDh0kSevWrdODDz6oEydOyM/PL9c2UlNTVbt2ba1YsUKPPPK/f/d+/vlnNW/eXHFxcercubO+/vprPfTQQzp16pR8fHwkSTExMZoyZYrOnj0rBweH2zzy0nPkyBH5+/trz549ateunbm8KMflZoZhyM/PT3/729/03HPPmdvx8fHRsmXLNHDgwBJ9jcqToKAgdezYUW+//bYkKTs7W/Xr19f48eP1wgsv5Gr/2GOPKT09XWvXrjWXde7cWe3atVNMTEyRjmlFY2dnp08//VR9+/aVivi5ykthX4uSfMbLm7Nnz8rb21tbtmzRfffdV+G/rznTDaBMI3ADKI9SU1NlZ2cnDw8PSVJcXJw8PDzMX/okKSQkRPb29oqPj89zGwkJCcrKylJISIi5LCAgQA0aNFBcXJy53datW5uBW5JCQ0OVlpam/fv3W3GEtlOU43Kzw4cPKykpyaKPu7u7goKCLI5lcb9G5UVmZqYSEhIsxm9vb6+QkJB8j1lcXJxFe13/bOW0L8oxrehKcgyK8rUoyWe8vElNTZUkeXp6SpXg+5rQDaDMInADKI+uXLmiKVOmaNCgQeaVCklJSfL29rZoV7VqVXl6eiopKSnP7SQlJcnBwcEM7jl8fHzMPklJSRaBO2d9zrqKqCjHJa8+uuHY5NWnJF+j8uLcuXO6du1ageO/WX6frRuPlwo5phVdSY5BUb4WJfmMlyfZ2dmaMGGC7rnnHrVq1UqqBN/XhG4AZRKBG0BZtXz5crm6upqvbdu2meuysrL06KOPyjAMLV682KZ1lgcFHUsAFdO4ceP0008/aeXKlbYu5bYhdAMocwjcAMqyPn36aO/eveYr57LFnMB99OhRxcbGWtyP7+vrm2vCqqtXr+r8+fPy9fXNcz++vr7KzMxUSkqKxfLk5GSzj6+vb67ZfXPe57fdsiS/Y1mQohyXvProhmOTV5+SfI3Ki1q1aqlKlSoFjv9m+X22bjxeKuSYVnQlOQZF+VqU5DNeXkRERGjt2rXatGmT6tWrZy6v6N/XhG4AZQqBG0BZV6NGDTVp0sR8OTs7m4H70KFDWr9+vby8vCz6BAcHKyUlRQkJCeayjRs3Kjs7W0FBQXnuJzAwUNWqVdOGDRvMZYmJiTp27JiCg4PN7e7bt8/il8qcwN+iRQsrjL505XUsC1OU43Izf39/+fr6WvRJS0tTfHy8xbEs7teovHBwcFBgYKDF+LOzs7Vhw4Z8j1lwcLBFe13/bOW0L8oxrehKcgyK8rUoyWe8rDMMQxEREfr000+1ceNG+fv7W6yv6N/XVW/bngCgEARuAOVRVlaWHnnkEe3evVtr167VtWvXzHsFPT095eDgoObNm6tnz54aNWqUYmJilJWVpYiICA0cONCcPffkyZPq3r273n//fXXq1Enu7u4KDw/XpEmT5OnpKTc3N40fP17BwcHmTL49evRQixYtNHToUM2ZM0dJSUmaNm2axo0bJ0dHR5sel5I6f/68jh07Zj7nPOdZvr6+vvL19S3ScdH1SZiio6PVr18/2dnZacKECZo9e7aaNm0qf39/TZ8+XX5+fuZM1EX5GpVnkyZN0vDhw9WhQwd16tRJ8+fPV3p6ukaOHClJGjZsmOrWravo6GhJ0rPPPquuXbvqjTfeUK9evbRy5Urt2rVL77zzjnR9Ju/CjmlFcPHiRf3666/m+8OHD2vv3r3y9PRUgwYNinQMunfvrn79+ikiIkIqwteiqJ/x8mTcuHFasWKFPvvsM9WoUcP8N9Ld3V3Ozs4V/vua0A2gTCBwAyivTp48qc8//1ySLB5tJUmbNm3S/fffL12/fzkiIkLdu3eXvb29wsLCtGDBArNtVlaWEhMTdenSJXPZvHnzzLYZGRkKDQ3VokWLzPVVqlTR2rVrNXbsWAUHB8vFxUXDhw9XVFTUbRi5dXz++edm+JBkPnZpxowZmjlzplSE46LrYT1nhmRJmjx5stLT0zV69GilpKSoS5cuWrdunZycnMw2hX2NyrPHHntMZ8+eVWRkpJKSktSuXTutW7fOnITq2LFjsrf/v4tg7777bq1YsULTpk3Tiy++qKZNm2rNmjXmxFcq4jEt73bt2qW//OUv5vtJkyZJkoYPH65ly5YV6Rj89ttvOnfunPm+sK+FivgZL09y5rjI+fcwx9KlSzVixAipgn9f85zuUsRzuksPz+muXAjcgCWe0w0AQMXBPd0AbIrADQAAgIqM0A3AZgjcAAAAqOgI3QBsgsANAACAyoDQDeC2I3ADAACgsiB0A7itCNwAAACoTAjdAG4bAjcAAAAqG0I3gNuCwA0AAIDKiNANwOoI3AAAAKisCN0ArIrADQBA2bJkyRL16NHDJvt+4YUXNH78eJvsG7AVQjcAqyFwAwBQtly5ckXTp0/XjBkzbLL/5557Tu+9955+//13m+wfsAVCNwCrIHADAFD2fPzxx3Jzc9M999xjk/3XqlVLoaGhWrx4sU32D9gCoRtAqSNwAwBgXWfPnpWvr69eeeUVc9n27dvl4OCgDRs25Ntv5cqV6t27t8WyESNGqG/fvnrllVfk4+MjDw8PRUVF6erVq3r++efl6empevXqaenSpWafI0eOyM7OTh999JHuvfdeOTs7q2PHjvrll1+0c+dOdejQQa6urnrggQd09uxZi/317t1bK1euLNXjAZRlhG4ApYrADQCA9dWuXVvvvvuuZs6cqV27dunChQsaOnSoIiIi1L1793z7fffdd+rQoUOu5Rs3btSpU6e0detWzZ07VzNmzNBDDz2kmjVrKj4+XmPGjNFTTz2lEydOWPSbMWOGpk2bpt27d6tq1ap6/PHHNXnyZL355pvatm2bfv31V0VGRlr06dSpk06cOKEjR46U4hEByq4yE7qzsrI0ZcoUtW7dWi4uLvLz89OwYcN06tQpi3bnz5/X4MGD5ebmJg8PD4WHh+vixYsFbvvKlSsaN26cvLy85OrqqrCwMCUnJ1u0OXbsmHr16qXq1avL29tbzz//vK5evWqVsaL0Xb0mZWXxsvUrM5PADQDA7fLggw9q1KhRGjx4sMaMGSMXFxdFR0fn2z4lJUWpqany8/PLtc7T01MLFixQs2bN9MQTT6hZs2a6dOmSXnzxRTVt2lRTp06Vg4ODvvvuO4t+zz33nEJDQ9W8eXM9++yzSkhI0PTp03XPPfeoffv2Cg8P16ZNmyz65Oz/6NGjpXYsgLKsqq0LyHHp0iXt3r1b06dPV9u2bfXnn3/q2WefVZ8+fbRr1y6z3eDBg3X69GnFxsYqKytLI0eO1OjRo7VixYp8tz1x4kR9+eWXWr16tdzd3RUREaH+/fvr+++/lyRdu3ZNvXr1kq+vr7Zv367Tp09r2LBhqlatmsUlOyibHJ2d9HTUFT0dZetKkIPADQDA7fH666+rVatWWr16tRISEuTo6Jhv28uXL0uSnJyccq1r2bKl7O3/73ycj4+PWrVqZb6vUqWKvLy8dObMGYt+bdq0segjSa1bt7ZYdnMfZ2dn6frv/0BlUGZCt7u7u2JjYy2Wvf322+rUqZOOHTumBg0a6ODBg1q3bp15n4gkvfXWW3rwwQf1+uuv5/lXu9TUVC1ZskQrVqxQt27dJElLly5V8+bNtWPHDnXu3FnffvutDhw4oPXr18vHx0ft2rXTyy+/rClTpmjmzJlycHC4TUcBJdF7ypv649hvti4D1zm7eahB6062LgMAgErht99+06lTp5Sdna0jR45YBN6beXl5yc7OTn/++WeuddWqVbN4b2dnl+ey7OzsfPvZ2dnluezmPufPn5euXyIPVAZlJnTnJTU1VXZ2dvLw8JAkxcXFycPDw+I+lJCQENnb2ys+Pl79+vXLtY2EhARlZWUpJCTEXBYQEKAGDRooLi5OnTt3VlxcnFq3bm3+dU6SQkNDNXbsWO3fv1/t27fPs76MjAxlZGSY79PS0kpt7Ci6WvUbq1b9xrYuAwAA4LbKzMzUkCFD9Nhjj6lZs2Z68skntW/fPnl7e+fZ3sHBQS1atNCBAwds9pxuSfrpp59UrVo1tWzZ0mY1ALdTmbmn+2ZXrlzRlClTNGjQILm5uUmSkpKScv0jUrVqVXl6eiopKSnP7SQlJcnBwcEM7jl8fHzMPklJSRaBWzdcHpPfdiUpOjpa7u7u5qt+/folHC0AAABQPC+99JJSU1O1YMECTZkyRXfeeaeeeOKJAvuEhobmui/7dtu2bZs54zlQGdgsdC9fvlyurq7ma9u2bea6rKwsPfroozIMo0w/w2/q1KlKTU01X8ePH7d1SQAAAKgENm/erPnz5+uDDz6Qm5ub7O3t9cEHH2jbtm0F/v4cHh6ur776Sqmpqbe13hutXLlSo0aNstn+gdvNZpeX9+nTR0FBQeb7unXrSjcE7qNHj2rjxo3mWW5J8vX1zTURw9WrV3X+/Hn5+vrmuR9fX19lZmYqJSXF4mx3cnKy2cfX11c//PCDRb+c2c3z264kOTo6FjhZBQAAAGAN999/v7KysiyWNWrUqNAw3aJFC/Xq1UuLFi3S1KlTJUnLli3L1W7z5s25lt34iK9GjRrJMIxcNd28bMSIERoxYoT5/uuvv5a9vb0eeYQJV1F52OxMd40aNdSkSRPz5ezsbAbuQ4cOaf369fLy8rLoExwcrJSUFCUkJJjLNm7cqOzsbIsAf6PAwEBVq1ZNGzZsMJclJibq2LFjCg4ONre7b98+i0AfGxsrNzc3tWjRwgqjBwAAAGzjtddek6urq032nZ6erqVLl6pq1TI9tRRQqsrMpz0rK0uPPPKIdu/erbVr1+ratWvm/dSenp5ycHBQ8+bN1bNnT40aNUoxMTHKyspSRESEBg4caM5cfvLkSXXv3l3vv/++OnXqJHd3d4WHh2vSpEny9PSUm5ubxo8fr+DgYHXu3FmS1KNHD7Vo0UJDhw7VnDlzlJSUpGnTpmncuHGcyQYAAECF0qhRI40fP94m++YMNyqjMhO6T548qc8//1yS1K5dO4t1mzZt0v333y9dvxc8IiJC3bt3l729vcLCwrRgwQKzbVZWlhITEy2e+zdv3jyzbUZGhkJDQ7Vo0SJzfZUqVbR27VqNHTtWwcHBcnFx0fDhwxUVxYOfAQAAAAAlZ2fcfOMFSiwtLU3u7u7a8r50X0dbV1O+7d4vBT4ihUUuVu2GTW1dDgDcVpmX0/VuxMNKTU21mNsEAACUP2X2kWEAAAAAAJR3ZebycgC37sIfybpyMc3WZQBljpOrm2p4+di6DAAAUAkRuoEK4sIfyVo9fYQyM7KK0BqoXBwcq2nAy8sI3gAA4LYjdAMVxJWLacrMyNKHc6Tmd9i6GqDsOPi7NGRylq5cTCN0AwCA247QDVQwze+Q7mpp6yoAAAAAiInUAAAAAACwHkI3AAAAAABWQugGAAAAAMBKCN0AAAAAAFgJoRsAAAAAACshdAMAAAAAYCWEbgAAAAAArITQDQAAAACAlRC6AQAAAACwEkI3AAAAAABWQugGAAAAAMBKCN0AAAAAAFgJoRsAAAAAACshdAMAAAAAYCWEbgAAAAAArITQDQAAAACAlRC6AQAAAACwEkI3AAAAAABWQugGAAAAAMBKCN0AAAAAAFgJoRsAAAAAACshdAMAAAAAYCWEbgAAAAAArITQDQAAAACAlRC6AQAAAACwEkI3AAAAAABWQugGAAAAAMBKCN0AAAAAAFgJoRsAAAAAACshdAMAAAAAYCWEbgAAAAAArITQDQAAAACAlRC6AQAAAACwEkI3AAAAAABWUtXWBVRE//1Zcq1u6yrKt4O/27oCAAAAALh1hG4reOYVW1dQMTg4VpOTq5utywAAAACAEiN0W0GfKXNVzdHZ1mWUe06ubqrh5WPrMgAAAACgxAjdVlCrfmM5OLvYugwAAAAAgI0xkRoAAAAAAFZC6AYAAAAAwErKVOieOXOmAgIC5OLiopo1ayokJETx8fEWbc6fP6/BgwfLzc1NHh4eCg8P18WLFwvc7pUrVzRu3Dh5eXnJ1dVVYWFhSk5Otmhz7Ngx9erVS9WrV5e3t7eef/55Xb161SrjBAAAAABUDmUqdN955516++23tW/fPn333Xdq1KiRevToobNnz5ptBg8erP379ys2NlZr167V1q1bNXr06AK3O3HiRH3xxRdavXq1tmzZolOnTql///7m+mvXrqlXr17KzMzU9u3b9d5772nZsmWKjIy06ngBAAAAABVbmQrdjz/+uEJCQnTHHXeoZcuWmjt3rtLS0vTjjz9Kkg4ePKh169bp3//+t4KCgtSlSxe99dZbWrlypU6dOpXnNlNTU7VkyRLNnTtX3bp1U2BgoJYuXart27drx44dkqRvv/1WBw4c0Icffqh27drpgQce0Msvv6yFCxcqMzPzth4DAAAAAEDFUaZC940yMzP1zjvvyN3dXW3btpUkxcXFycPDQx06dDDbhYSEyN7ePtdl6DkSEhKUlZWlkJAQc1lAQIAaNGiguLg4c7utW7eWj8//PZ4qNDRUaWlp2r9/f741ZmRkKC0tzeIFAAAAAECOMhe6165dK1dXVzk5OWnevHmKjY1VrVq1JElJSUny9va2aF+1alV5enoqKSkpz+0lJSXJwcFBHh4eFst9fHzMPklJSRaBO2d9zrr8REdHy93d3XzVr1+/hKMGAAAAAFRENgvdy5cvl6urq/natm2bJOkvf/mL9u7dq+3bt6tnz5569NFHdebMGVuVWaCpU6cqNTXVfB0/ftzWJQEAAAAAypCqttpxnz59FBQUZL6vW7euJMnFxUVNmjRRkyZN1LlzZzVt2lRLlizR1KlT5evrmyuAX716VefPn5evr2+e+/H19VVmZqZSUlIsznYnJyebfXx9ffXDDz9Y9MuZ3Ty/7UqSo6OjHB0dSzR+AAAAAEDFZ7Mz3TVq1DDDdZMmTeTs7Jxnu+zsbGVkZEiSgoODlZKSooSEBHP9xo0blZ2dbRHgbxQYGKhq1appw4YN5rLExEQdO3ZMwcHB5nb37dtnEehjY2Pl5uamFi1alNqYAQAAAACVS5m5pzs9PV0vvviiduzYoaNHjyohIUFPPPGETp48qQEDBkiSmjdvrp49e2rUqFH64Ycf9P333ysiIkIDBw6Un5+fJOnkyZMKCAgwz1y7u7srPDxckyZN0qZNm5SQkKCRI0cqODhYnTt3liT16NFDLVq00NChQ/Xf//5X33zzjaZNm6Zx48ZxJhsAAAAAUGI2u7z8ZlWqVNHPP/+s9957T+fOnZOXl5c6duyobdu2qWXLlma75cuXKyIiQt27d5e9vb3CwsK0YMECc31WVpYSExN16dIlc9m8efPMthkZGQoNDdWiRYss9r127VqNHTtWwcHBcnFx0fDhwxUVFXUbjwAAAAAAoKIpM6HbyclJn3zySaHtPD09tWLFinzXN2rUSIZh5Nr2woULtXDhwnz7NWzYUF999VUxqwYAAAAAIH9l5vJyAAAAAAAqGkI3AAAAAABWQugGAAAAAMBKCN0AAAAAAFgJoRsAAAAAACshdAMAAAAAYCWEbgAAAAAArITQDQAAAACAlRC6AQAAAACwEkI3AAAAAABWQugGAAAAAMBKCN0AAAAAAFgJoRsAAAAAACshdAMAAAAAYCWEbgAAAAAArITQDQAAAACAlRC6AQAAAACwEkI3AAAAAABWQugGAAAAAMBKCN0AAAAAAFgJoRsAAAAAACshdAMAAAAAYCWEbgAAAAAArITQDQAAAACAlRC6AQAAAACwEkI3AAAAAABWQugGAAAAAMBKCN0AAAAAAFhJVVsXUJEYhiFJyrx8ydaloBLKyrgsSfp+t3SRjyBgSjzyv/9mZVxW5uV0W5dTJDk/R3J+rgAAgPLLzuAneqk5ceKE6tevb+syAAAVxPHjx1WvXj1blwEAAG4BobsUZWdn69SpU6pRo4bs7OxsXY7S0tJUv359HT9+XG5ubrYup1QxtvKrIo+PsZVfZW18hmHowoUL8vPzk709d4IBAFCecXl5KbK3ty+TZyTc3NzKxC+R1sDYyq+KPD7GVn6VpfG5u7vbugQAAFAK+PM5AAAAAABWQugGAAAAAMBKCN0VmKOjo2bMmCFHR0dbl1LqGFv5VZHHx9jKr4o+PgAAYDtMpAYAAAAAgJVwphsAAAAAACshdAMAAAAAYCWEbgAAAAAArITQDQAAAACAlRC6y7CZM2cqICBALi4uqlmzpkJCQhQfH2/R5vz58xo8eLDc3Nzk4eGh8PBwXbx4scDtXrlyRePGjZOXl5dcXV0VFham5ORkizbHjh1Tr169VL16dXl7e+v555/X1atXS2VcWVlZmjJlilq3bi0XFxf5+flp2LBhOnXqVLkfW45PPvlEPXr0kJeXl+zs7LR3794S1XozwzAUGRmpOnXqyNnZWSEhITp06JBFm5Ict1uxcOFCNWrUSE5OTgoKCtIPP/xQYPvVq1crICBATk5Oat26tb766iuL9UUZozVs3bpVvXv3lp+fn+zs7LRmzZpSqauw41OSz0FxRUdHq2PHjqpRo4a8vb3Vt29fJSYm3nIdZeHzuHjxYrVp00Zubm5yc3NTcHCwvv7663I/LgAAUIEYKLOWL19uxMbGGr/99pvx008/GeHh4Yabm5tx5swZs03Pnj2Ntm3bGjt27DC2bdtmNGnSxBg0aFCB2x0zZoxRv359Y8OGDcauXbuMzp07G3fffbe5/urVq0arVq2MkJAQY8+ePcZXX31l1KpVy5g6dWqpjCslJcUICQkxVq1aZfz8889GXFyc0alTJyMwMNCiXXkcW47333/fmDVrlvGvf/3LkGTs2bOn2LXm5R//+Ifh7u5urFmzxvjvf/9r9OnTx/D39zcuX75stinJcSuplStXGg4ODsa7775r7N+/3xg1apTh4eFhJCcn59n++++/N6pUqWLMmTPHOHDggDFt2jSjWrVqxr59+4o1Rmv46quvjJdeesn45JNPDEnGp59+arG+JHUV5fiU5HNQXKGhocbSpUuNn376ydi7d6/x4IMPGg0aNDAuXrx4S3WUhc/j559/bnz55ZfGL7/8YiQmJhovvviiUa1aNeOnn34q1+MCAAAVB6G7HElNTTUkGevXrzcMwzAOHDhgSDJ27txptvn6668NOzs74+TJk3luIyUlxahWrZqxevVqc9nBgwcNSUZcXJxhXA8f9vb2RlJSktlm8eLFhpubm5GRkWGVsf3www+GJOPo0aMVamyHDx/OM3QXpdabZWdnG76+vsZrr71msR1HR0fjP//5j2GU8Ljdik6dOhnjxo0z31+7ds3w8/MzoqOj82z/6KOPGr169bJYFhQUZDz11FNFHuPtcHPoLmldhR2fknwOSsOZM2cMScaWLVtKXEdZ/DzmqFmzpvHvf/+7wo0LAACUT1xeXk5kZmbqnXfekbu7u9q2bStJiouLk4eHhzp06GC2CwkJkb29fa7L0HMkJCQoKytLISEh5rKAgAA1aNBAcXFx5nZbt24tHx8fs01oaKjS0tK0f/9+q4wvNTVVdnZ28vDwqHBjK2mtNzt8+LCSkpIs+ri7uysoKMhifMU9biWVmZmphIQEi3rs7e0VEhKS7xji4uIs2uv68c9pX5Qx2kJJ6irK8SnJ56A0pKamSpI8PT1LXEdZ+zxK0rVr17Ry5Uqlp6crODi4wowLAACUb4TuMm7t2rVydXWVk5OT5s2bp9jYWNWqVUuSlJSUJG9vb4v2VatWlaenp5KSkvLcXlJSkhwcHMxwm8PHx8fsk5SUZBFKc9bnrCttV65c0ZQpUzRo0CC5ubmZ+6kIY8tPUWrNq49uqDevPiU5biV17tw5Xbt2rcB68hpDYfWrkDHaQknqKsrxKcnn4FZlZ2drwoQJuueee9SqVasS11GWPo/79u2Tq6urHB0dNWbMGH366adq0aJFuR8XAACoGAjdZcTy5cvl6upqvrZt2yZJ+stf/qK9e/dq+/bt6tmzpx599FGdOXPG1uUWS35j0/VJ1R599FEZhqHFixfbtM6SKmh8QFkzbtw4/fTTT1q5cqWtSyk1zZo10969exUfH6+xY8dq+PDhOnDggK3LAgAAkAjdZUefPn20d+9e85Vz2aKLi4uaNGmizp07a8mSJapataqWLFkiSfL19c0VwK9evarz58/L19c3z/34+voqMzNTKSkpFsuTk5PNPr6+vrlm9815n992SzK2nMB99OhRxcbGmme5y9PYChpfQYpSa159bqw3rz4lOW4lVatWLVWpUqXAevIaQ2H1q5Ax2kJJ6irK8SnJ5+BWREREaO3atdq0aZPq1atnLi/vn0cHBwc1adJEgYGBio6OVtu2bfXmm2+W+3EBAICKgdBdRtSoUUNNmjQxX87Oznm2y87OVkZGhiQpODhYKSkpSkhIMNdv3LhR2dnZCgoKyrN/YGCgqlWrpg0bNpjLEhMTdezYMQUHB5vb3bdvn8UvlTmhuEWLFqUytpzAfejQIa1fv15eXl4WfcrL2PIbX2GKUuvN/P395evra9EnLS1N8fHxFuMr7nErKQcHBwUGBlrUk52drQ0bNuQ7huDgYIv2un78c9oXZYy2UJK6inJ8SvI5KAnDMBQREaFPP/1UGzdulL+/v8X6ivB5vFHOv5MVbVwAAKCcsvVMbsjbxYsXjalTpxpxcXHGkSNHjF27dhkjR440HB0dzUfhGNcfW9O+fXsjPj7e+O6774ymTZtaPLbmxIkTRrNmzYz4+Hhz2ZgxY4wGDRoYGzduNHbt2mUEBwcbwcHB5vqcx2r16NHD2Lt3r7Fu3Tqjdu3apfZYrczMTKNPnz5GvXr1jL179xqnT582XzfOIF4ex5bjjz/+MPbs2WN8+eWXhiRj5cqVxp49e4zTp08XuVbDMIxmzZoZn3zyifn+H//4h+Hh4WF89tlnxo8//mg8/PDDeT7KqKDjVppWrlxpODo6GsuWLTMOHDhgjB492vDw8DBnhx86dKjxwgsvmO2///57o2rVqsbrr79uHDx40JgxY0aejwwrbIzWcOHCBWPPnj3Gnj17DEnG3LlzjT179pgz6helrm7duhlvvfVWkY+PUcTPwa0aO3as4e7ubmzevNni++3SpUvFqqMsfh5feOEFY8uWLcbhw4eNH3/80XjhhRcMOzs749tvvy3X4wIAABUHobuMunz5stGvXz/Dz8/PcHBwMOrUqWP06dPH+OGHHyza/fHHH8agQYMMV1dXw83NzRg5cqRx4cIFc33OI6s2bdpkse2nn37aqFmzplG9enWjX79+FmHQMAzjyJEjxgMPPGA4OzsbtWrVMv72t78ZWVlZpTK2nJryet1YZ3kcW46lS5fmOb4ZM2YUq1ZJxtKlS8332dnZxvTp0w0fHx/D0dHR6N69u5GYmGjRp7DjVtreeusto0GDBoaDg4PRqVMnY8eOHea6rl27GsOHD7do/9FHHxl33nmn4eDgYLRs2dL48ssvLdYXZYzWsGnTpjy/Zjn1F6Wuhg0bWnyNjUKOj1HEz8Gtyu/77cbPVnn9PD7xxBNGw4YNDQcHB6N27dpG9+7dzcBdnscFAAAqDjvjf79wAAAAAACAUsY93QAAAAAAWAmhGwAAAAAAKyF0AwAAAABgJYRuAAAAAACshNANAAAAAICVELoBAAAAALASQjcAAAAAAFZC6AYAAAAAwEoI3QBKxZIlS9SjRw+b7PuFF17Q+PHjbbJvAAAAoCB2hmEYti4CQPl25coV3XHHHVq9erXuueee277/c+fO6Y477tDevXt1xx133Pb9AwAAAPnhTDeAW/bxxx/Lzc3NJoFbkmrVqqXQ0FAtXrzYJvsHAAAA8kPoBmA6e/asfH199corr5jLtm/fLgcHB23YsCHffitXrlTv3r0tlo0YMUJ9+/bVK6+8Ih8fH3l4eCgqKkpXr17V888/L09PT9WrV09Lly41+xw5ckR2dnb66KOPdO+998rZ2VkdO3bUL7/8op07d6pDhw5ydXXVAw88oLNnz1rsr3fv3lq5cmWpHg8AAADgVhG6AZhq166td999VzNnztSuXbt04cIFDR06VBEREerevXu+/b777jt16NAh1/KNGzfq1KlT2rp1q+bOnasZM2booYceUs2aNRUfH68xY8boqaee0okTJyz6zZgxQ9OmTdPu3btVtWpVPf7445o8ebLefPNNbdu2Tb/++qsiIyMt+nTq1EknTpzQkSNHSvGIAAAAALeGe7oB5DJu3DitX79eHTp00L59+7Rz5045Ojrm2TYlJUU1a9bU1q1bde+995rLR4wYoc2bN+v333+Xvf3//r4XEBAgb29vbd26VZJ07do1ubu769///rcGDhyoI0eOyN/fX//+978VHh4uXT+LPmjQIG3YsEHdunWTJP3jH//QsmXL9PPPP5v7S0tLk7u7uzZv3qyuXbta9fgAAAAARVXV1gUAKHtef/11tWrVSqtXr1ZCQkK+gVuSLl++LElycnLKta5ly5Zm4JYkHx8ftWrVynxfpcr/b++OUROLojAAn+fEgCA27iFFxBRuIiuQNFZqVpAiBEtLG8kGLGxcQdIGzApCsLO1sFAstLCQaYagiZNhIE8tvq9793G455U/53LfrygWizGdTnfqrq6udmoiIsrl8s7a55pcLhcREavV6r++FQAA0uR4OfDFeDyOyWQSm83mn8e1i8ViJEkS8/n8y7tsNrvznCTJ3rXNZvPXuiRJ9q59rpnNZhF/jsgDAMCpELqBHev1Omq1Wtzc3ES73Y5ms/llqrzt/Pw8Li8vYzQaHbTPz97f3yObzUapVDpqHwAAsE3oBna0Wq1YLBbx+PgY9/f3cXFxEfV6/dua6+vreH19PViP+wyHw48bzwEA4FQI3cCHl5eX6Ha70e/3o1AoRCaTiX6/H8Ph8Nt/YDcajXh6eorFYnHQfrcNBoO4vb092v4AALCP28uBH1GtVqNSqcTDw8PB935+fo67u7t4e3uLszP3QwIAcDpMuoEf0el0Ip/PH2Xv5XIZvV5P4AYA4OSYdAMAAEBKTLoBAAAgJUI3AAAApEToBgAAgJQI3QAAAJASoRsAAABSInQDAABASoRuAAAASInQDQAAACkRugEAACAlvwER4ySqMiLJdQAAAABJRU5ErkJggg==",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -1044,7 +1149,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1058,13 +1163,58 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "
14:58:40 UTC Created task 'cpa_modeler_diff_feed' with task_id                  \n",
+       "             'sid-05c34772-8130-4445-a504-279ab93f232a' and task_type 'RF'.     \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m14:58:40 UTC\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'cpa_modeler_diff_feed'\u001b[0m with task_id                  \n",
+       "\u001b[2;36m             \u001b[0m\u001b[32m'sid-05c34772-8130-4445-a504-279ab93f232a'\u001b[0m and task_type \u001b[32m'RF'\u001b[0m.     \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
             View task using web UI at                                          \n",
+       "             'https://tidy3d.dev-simulation.cloud/rf?taskId=pa-30120b3a-5ec8-4d1\n",
+       "             b-8191-08dccd8767ad'.                                              \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
+       "\u001b[2;36m             \u001b[0m\u001b]8;id=562889;https://tidy3d.dev-simulation.cloud/rf?taskId=pa-30120b3a-5ec8-4d1b-8191-08dccd8767ad\u001b\\\u001b[32m'https://tidy3d.dev-simulation.cloud/rf?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=860472;https://tidy3d.dev-simulation.cloud/rf?taskId=pa-30120b3a-5ec8-4d1b-8191-08dccd8767ad\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=562889;https://tidy3d.dev-simulation.cloud/rf?taskId=pa-30120b3a-5ec8-4d1b-8191-08dccd8767ad\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=813383;https://tidy3d.dev-simulation.cloud/rf?taskId=pa-30120b3a-5ec8-4d1b-8191-08dccd8767ad\u001b\\\u001b[32mpa\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=562889;https://tidy3d.dev-simulation.cloud/rf?taskId=pa-30120b3a-5ec8-4d1b-8191-08dccd8767ad\u001b\\\u001b[32m-30120b3a-5ec8-4d1\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[2;36m             \u001b[0m\u001b]8;id=562889;https://tidy3d.dev-simulation.cloud/rf?taskId=pa-30120b3a-5ec8-4d1b-8191-08dccd8767ad\u001b\\\u001b[32mb-8191-08dccd8767ad'\u001b[0m\u001b]8;;\u001b\\.                                              \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
             Task folder: 'default'.                                            \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=973939;https://tidy3d.dev-simulation.cloud/folders/folder-efc7bc86-8012-4944-bff3-6563ab8cccb9\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5f1e31c1ac7442adad555f94f1749507",
+       "model_id": "e9853435833c4c0a8be3d4c5d1e49292",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1088,11 +1238,45 @@
     {
      "data": {
       "text/html": [
-       "
19:54:02 CEST Started working on Batch containing 2 tasks.                      \n",
+       "
14:58:43 UTC Child simulation subtasks are being uploaded to                    \n",
+       "             - coax_port: rf-93c41715-9111-42f6-898a-b5afee748f5b               \n",
+       "             - diff_port: rf-9671cc8b-91d3-4100-b17b-4a749d4b67bc               \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m14:58:43 UTC\u001b[0m\u001b[2;36m \u001b[0mChild simulation subtasks are being uploaded to                    \n",
+       "\u001b[2;36m             \u001b[0m- coax_port: rf-\u001b[93m93c41715-9111-42f6-898a-b5afee748f5b\u001b[0m               \n",
+       "\u001b[2;36m             \u001b[0m- diff_port: rf-\u001b[93m9671cc8b-91d3-4100-b17b-4a749d4b67bc\u001b[0m               \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
14:58:44 UTC Validating batch...                                                \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m14:58:44 UTC\u001b[0m\u001b[2;36m \u001b[0mValidating batch\u001b[33m...\u001b[0m                                                \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
14:58:45 UTC Maximum FlexCredit cost: 0.669. Minimum cost depends on task       \n",
+       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
+       "             FlexCredit cost after a simulation run.                            \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m19:54:02 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m2\u001b[0m tasks.                      \n"
+       "\u001b[2;36m14:58:45 UTC\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.669\u001b[0m. Minimum cost depends on task       \n",
+       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
+       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
       ]
      },
      "metadata": {},
@@ -1101,11 +1285,11 @@
     {
      "data": {
       "text/html": [
-       "
19:54:05 CEST Maximum FlexCredit cost: 0.669 for the whole batch.               \n",
+       "
             Batch validation completed.                                        \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m19:54:05 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.669\u001b[0m for the whole batch.               \n"
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mBatch validation completed.                                        \n"
       ]
      },
      "metadata": {},
@@ -1114,13 +1298,13 @@
     {
      "data": {
       "text/html": [
-       "
              Use 'Batch.real_cost()' to get the billed FlexCredit cost after   \n",
-       "              the Batch has completed.                                          \n",
+       "
14:58:46 UTC Modeler Batch: cpa_modeler_diff_feed (group                        \n",
+       "             pa-30120b3a-5ec8-4d1b-8191-08dccd8767ad)                           \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
-       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
+       "\u001b[2;36m14:58:46 UTC\u001b[0m\u001b[2;36m \u001b[0mModeler Batch: cpa_modeler_diff_feed \u001b[1m(\u001b[0mgroup                        \n",
+       "\u001b[2;36m             \u001b[0mpa-\u001b[93m30120b3a-5ec8-4d1b-8191-08dccd8767ad\u001b[0m\u001b[1m)\u001b[0m                           \n"
       ]
      },
      "metadata": {},
@@ -1129,7 +1313,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6f9ab37f1bbb466ebf8035b07f9cdc7a",
+       "model_id": "4e821433f9794a26aaf3a1349050ba21",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1143,11 +1327,11 @@
     {
      "data": {
       "text/html": [
-       "
19:55:50 CEST Batch complete.                                                   \n",
+       "
15:01:50 UTC Postprocess completed.                                             \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m19:55:50 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
+       "\u001b[2;36m15:01:50 UTC\u001b[0m\u001b[2;36m \u001b[0mPostprocess completed.                                             \n"
       ]
      },
      "metadata": {},
@@ -1166,7 +1350,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "2bafa99c988d4dabb27c430ac4b91f35",
+       "model_id": "4e36b976599840d2acfed14f0aebc2cd",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1186,11 +1370,25 @@
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
15:01:57 UTC loading component modeler data from ./cm_data.hdf5                 \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m15:01:57 UTC\u001b[0m\u001b[2;36m \u001b[0mloading component modeler data from .\u001b[35m/\u001b[0m\u001b[95mcm_data.hdf5\u001b[0m                 \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
     "# Run the TerminalComponentModeler and populate the scattering matrix of this single CoaxialLumpedPort network.\n",
-    "s_matrix = modeler_diff_feed.run()"
+    "modeler_diff_feed_data = web.run(modeler_diff_feed, task_name=\"cpa_modeler_diff_feed\")\n",
+    "s_matrix = modeler_diff_feed_data.smatrix()"
    ]
   },
   {
@@ -1203,12 +1401,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/flexdaemon/tidy3d/tidy3d/components/data/monitor_data.py:2860: FutureWarning: In a future version of xarray the default value for coords will change from coords='different' to coords='minimal'. This is likely to lead to different results when multiple datasets have matching variables with overlapping values. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set coords explicitly.\n",
+      "  data_array = xr.concat((slice_phi, slice_opposite_phi), dim=\"theta\").sortby(\"theta\")\n",
+      "/home/flexdaemon/tidy3d/tidy3d/components/data/monitor_data.py:2860: FutureWarning: In a future version of xarray the default value for coords will change from coords='different' to coords='minimal'. This is likely to lead to different results when multiple datasets have matching variables with overlapping values. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set coords explicitly.\n",
+      "  data_array = xr.concat((slice_phi, slice_opposite_phi), dim=\"theta\").sortby(\"theta\")\n"
+     ]
+    },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -1226,7 +1434,7 @@
     "\n",
     "# Create a differential excitation by setting the amplitudes of the two ports to be equal in magnitude but opposite in phase.\n",
     "port_amplitudes = {\"coax_port\": 1.0, \"diff_port\": -1.0}\n",
-    "antenna_parameters_shell = modeler_diff_feed.get_antenna_metrics_data(\n",
+    "antenna_parameters_shell = modeler_diff_feed_data.get_antenna_metrics_data(\n",
     "    port_amplitudes, monitor_name=\"rad_spatial\"\n",
     ")\n",
     "D_right_diff = antenna_parameters_shell.partial_directivity(pol_basis=\"circular\").Dright.sel(\n",
@@ -1276,12 +1484,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -1321,6 +1529,13 @@
     "\n",
     "[2] C. A. Balanis, *Antenna Theory: Analysis and Design*. John Wiley & Sons, 2016."
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -1335,7 +1550,7 @@
   ],
   "feature_image": "./img/circularly_polarized_patch_antenna.png",
   "kernelspec": {
-   "display_name": ".venv",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -1350,7 +1565,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.5"
+   "version": "3.11.2"
   },
   "title": "Circularly polarized patch antenna with parasitic strips in Tidy3D FDTD"
  },
diff --git a/CoupledLineBandpassFilter.ipynb b/CoupledLineBandpassFilter.ipynb
index 812fdfc4..e2b89f9b 100644
--- a/CoupledLineBandpassFilter.ipynb
+++ b/CoupledLineBandpassFilter.ipynb
@@ -34,6 +34,7 @@
     "# pip install scikit-rf\n",
     "import skrf as rf  # For validation using circuit models of the filter\n",
     "import tidy3d as td\n",
+    "import tidy3d.web as web\n",
     "import tidy3d.plugins.microwave as mw\n",
     "\n",
     "# Tidy3d plugin imports\n",
@@ -212,7 +213,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjwAAAGFCAYAAAD5Iim6AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjMsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvZiW1igAAAAlwSFlzAAAPYQAAD2EBqD+naQAAOPZJREFUeJzt3Xl8FPXh//H35tqEkANIyAFJOIRwgwaJKEEFJEQEFEoFBTki0goeoNbiQUD9SpX+xBYPtFWwiuVQKx6A5T4qoECpopKSSAgICQRIloQQIJnfH1+zX9bckGQ2w+v5eOzjwczOzL53WJI3M5+ZtRmGYQgAAMDCPMwOAAAAUNcoPAAAwPIoPAAAwPIoPAAAwPIoPAAAwPIoPAAAwPIoPAAAwPIoPAAAwPIoPAAAwPIoPIAFbNy4UTabTRs3bjQ7SrV9/fXXuv766+Xv7y+bzaY9e/aYHemS2Ww2zZo1q15eKz8/X/fee6/Cw8Nls9n08MMP18vrXorSz2XpY+fOnZe0neDgYOc2pk6dWus5cWXwMjsA4I5sNlu1ltuwYYNuuummOs9jNefPn9fIkSPl6+urefPmqVGjRoqJiTE7VoPw/PPPa9GiRXr66afVtm1bdezY0exIVXriiSfUsWNHtWnTxjnv6NGj+tOf/qQdO3Zo586dys/Pr/Df05tvvqlz585p7Nix9ZwcVkLhAcrx7rvvukz/7W9/05o1a8rMd5dfNn379lVhYaF8fHzMjlIt6enpOnjwoP7yl7/o3nvvNTtOg7J+/Xpdd911SklJMTtKtd1yyy1likxqaqpeeOEFtWvXTl27dtW2bdsqXP/Xv/61JFF4cFkoPEA5xowZ4zK9fft2rVmzpsx8d+Hh4SFfX1+zY1TbsWPHpJ9PVcDV2bNn5ePjIw+P8kccHDt2TJ06dbrs7ZgtLi5OJ06cUNOmTfXBBx9o5MiRZkeCxbnnvwSgASgoKNAjjzyiqKgo2e12xcbG6o9//KMMw3BZrnTcweLFixUbGytfX1/FxcVp8+bNlW4/OztbXl5emj17dpnnUlNTZbPZ9Morr0iVjOHZsWOHBg0apKCgIDVq1Eg33nij/vWvfzmf/+abb2Sz2fTJJ5845+3atUs2m03XXHONy7aSkpIUHx9f5X5Zv369EhIS5O/vr+DgYA0bNkw//PCD8/nx48frxhtvlCSNHDlSNputytOCubm5mjZtmlq1aiW73a6WLVvqnnvuUU5OjnOZY8eOKTk5WWFhYfL19VX37t31zjvvuGynov2UkZEhm82mRYsWueRs3LixfvzxRyUmJsrf31+RkZF65plnyvwdl+enn37SxIkTFRYWJrvdrs6dO+vtt98uN8+SJUv01FNPqUWLFmrUqJEcDkeZ7ZUue+DAAX3++efOMS0ZGRlVbmf58uWKi4uTn5+fQkJCNGbMGP30008u2y99v5mZmbrtttvUuHFjtWjRQq+++qok6dtvv1W/fv3k7++vmJgYvf/++1Xug8oEBASoadOml7UNoCY4wgNcAsMwNHToUG3YsEHJycnq0aOHvvjiCz322GP66aefNG/ePJflN23apKVLl+rBBx+U3W7Xa6+9pkGDBumrr75Sly5dyn2NsLAw3XjjjVq2bFmZ0xdLly6Vp6dnpf8rXr9+vZKSkhQXF6eUlBR5eHho4cKF6tevn7Zs2aJevXqpS5cuCg4O1ubNmzV06FBJ0pYtW+Th4aH//Oc/cjgcCgwMVElJib788kvdd999le6XtWvXKikpSW3atNGsWbNUWFio+fPn64YbbtDu3bvVqlUrTZ48WS1atNDzzz+vBx98UNdee63CwsIq3GZ+fr4SEhL0ww8/aOLEibrmmmuUk5OjTz75RIcPH1ZISIgKCwt10003KS0tTVOnTlXr1q21fPlyjR8/Xrm5uXrooYcqzV2R4uJiDRo0SNddd51efPFFrV69WikpKbpw4YKeeeaZCtfLzs7Wdddd5yy7oaGhWrVqlZKTk+VwOMoMNH722Wfl4+OjRx99VEVFReWemuzYsaPeffddTZs2TS1bttQjjzwiSQoNDVVGRkaF21m0aJEmTJiga6+9VnPmzFF2drb+9Kc/6V//+pf+/e9/uxxlKy4uVlJSkvr27asXX3xRixcv1tSpU+Xv768nn3xSd999t4YPH64FCxbonnvuUe/evdW6detL2rdAvTMAVGnKlCnGxf9cPv74Y0OS8dxzz7ks96tf/cqw2WxGWlqac54kQ5Kxc+dO57yDBw8avr6+xh133FHp677xxhuGJOPbb791md+pUyejX79+zukNGzYYkowNGzYYhmEYJSUlRrt27YzExESjpKTEudyZM2eM1q1bG7fccotz3uDBg41evXo5p4cPH24MHz7c8PT0NFatWmUYhmHs3r3bkGSsWLGi0rw9evQwmjdvbpw4ccI57z//+Y/h4eFh3HPPPWXyLl++vNLtGYZhzJw505BkfPTRR2WeK31vL7/8siHJeO+995zPnTt3zujdu7fRuHFjw+FwlLufSh04cMCQZCxcuNA5b9y4cYYk44EHHnB5vcGDBxs+Pj7G8ePHnfMlGSkpKc7p5ORkIyIiwsjJyXF5nVGjRhlBQUHGmTNnXPK0adPGOa8qMTExxuDBg13mVbSdc+fOGc2bNze6dOliFBYWOud/9tlnhiRj5syZZd7v888/75x36tQpw8/Pz7DZbMaSJUuc8/ft21fmPZenov39S8uXL6/WcpKMKVOmVLoMUBFOaQGXYOXKlfL09NSDDz7oMv+RRx6RYRhatWqVy/zevXsrLi7OOR0dHa1hw4bpiy++UHFxcYWvM3z4cHl5eWnp0qXOeXv37tX333+vO++8s8L19uzZo/379+uuu+7SiRMnlJOTo5ycHBUUFKh///7avHmzSkpKJEkJCQnavXu3CgoKJElbt27Vrbfeqh49emjLli3Sz0d9bDab+vTpU+FrHj16VHv27NH48eNdTlV069ZNt9xyi1auXFnhupX58MMP1b17d91xxx1lniu9mm7lypUKDw/X6NGjnc95e3vrwQcfVH5+vjZt2nRJry3J5TLo0iM2586d09q1a8td3jAMffjhhxoyZIgMw3Du+5ycHCUmJiovL0+7d+92WWfcuHHy8/O75IwVbWfnzp06duyY7r//fpcxXoMHD1aHDh30+eefl9nGxYPIg4ODFRsbK39/f+fAYUmKjY1VcHCwfvzxx8vODNQXTmkBl+DgwYOKjIxUQECAy/zSq7YOHjzoMr9du3ZlttG+fXudOXNGx48fV3h4eLmvExISov79+2vZsmV69tlnpZ9PZ3l5eWn48OEV5tu/f7/08y/AiuTl5alJkyZKSEjQhQsXtG3bNkVFRenYsWNKSEjQd99951J4OnXqVOmYi9L3HBsbW+a5jh076osvvlBBQYH8/f0r3EZ50tPTNWLEiEqXOXjwoNq1a1dmgG5Ffx/V5eHh4XIptX7+e9PP437Kc/z4ceXm5urNN9/Um2++We4ypYO2S9XWaaFfbqeyv5MOHTpo69atLvN8fX0VGhrqMi8oKEgtW7Ysc6uGoKAgnTp1qlZyA/WBwgO4uVGjRmnChAnas2ePevTooWXLlql///4KCQmpcJ3Sozdz585Vjx49yl2mcePGkqSePXvK19dXmzdvVnR0tJo3b6727dsrISFBr732moqKirRly5Zyj7A0NBXdX6myo2w1Vbrvx4wZU2Hh7Natm8t0bRzdqY3teHp61mh+dQZvA+6CwgNcgpiYGK1du1anT592Ocqzb98+5/MXKz3icrH//ve/atSoUZn/Uf/S7bffrsmTJztPa/33v//VjBkzKl2nbdu2kqTAwEANGDCg0mV9fHzUq1cvbdmyRdHR0UpISJB+PtVVVFSkxYsXKzs7W3379q10O6XvOTU1tcxz+/btU0hISI2P7pS+l71791b52t98841KSkpcjvL88u+jSZMm0s9XfV2soiNAJSUl+vHHH51HdfTz/pekVq1albtOaGioAgICVFxcXOW+r2sX/53069fP5bnU1FRu9ogrCmN4gEtw6623qri42HlZeKl58+bJZrMpKSnJZf62bdtcxm0cOnRIK1as0MCBAyv833Op4OBgJSYmatmyZVqyZIl8fHx0++23V7pOXFyc2rZtqz/+8Y/Kz88v8/zx48ddphMSErRjxw5t2LDBWXhCQkLUsWNHvfDCC85lKhMREaEePXronXfecSkUe/fu1T//+U/deuutla5fkREjRug///mP/vGPf5R5rvQIw6233qqsrCyXsU4XLlzQ/Pnz1bhxY+dl8DExMfL09CxzS4DXXnutwte/+O/YMAy98sor8vb2Vv/+/ctd3tPTUyNGjNCHH35YblH75b6vSz179lTz5s21YMECFRUVOeevWrVKP/zwgwYPHlxvWQCzcYQHuARDhgzRzTffrCeffFIZGRnq3r27/vnPf2rFihV6+OGHnUdYSnXp0kWJiYkul6VLKvceO+W58847NWbMGL322mtKTEys8oZ9Hh4e+utf/6qkpCR17txZEyZMUIsWLfTTTz9pw4YNCgwM1KeffupcPiEhQf/zP/+jQ4cOuRSbvn376o033lCrVq3UsmXLKnPOnTtXSUlJ6t27t5KTk52XpQcFBV3yd0099thjzhvTTZw4UXFxcTp58qQ++eQTLViwQN27d9d9992nN954Q+PHj9euXbvUqlUrffDBB/rXv/6ll19+2XkULigoSCNHjtT8+fNls9nUtm1bffbZZ2XG1JTy9fXV6tWrNW7cOMXHx2vVqlX6/PPP9cQTT1R6ZO4Pf/iDNmzYoPj4eE2aNEmdOnXSyZMntXv3bq1du1YnT568pH1RU97e3nrhhRc0YcIE3XjjjRo9erTzsvRWrVpp2rRp9ZKjIs8995wk6bvvvpN+vsN56biip556ytRssCCzLxMDGoJfXpZuGIZx+vRpY9q0aUZkZKTh7e1ttGvXzpg7d67LZeDGRZfSvvfee0a7du0Mu91uXH311VVegnsxh8Nh+Pn5lbn0ulRFl//++9//NoYPH240a9bMsNvtRkxMjPHrX//aWLduXZnte3p6GgEBAcaFCxec89977z1DkjF27NhqZ127dq1xww03GH5+fkZgYKAxZMgQ4/vvvy83b3UuSzcMwzhx4oQxdepUo0WLFoaPj4/RsmVLY9y4cS6XfWdnZxsTJkwwQkJCDB8fH6Nr164ul5mXOn78uDFixAijUaNGRpMmTYzJkycbe/fuLfeydH9/fyM9Pd0YOHCg0ahRIyMsLMxISUkxiouLXbZZ3iXa2dnZxpQpU4yoqCjD29vbCA8PN/r372+8+eabl7wfjCouS69oO0uXLjWuvvpqw263G02bNjXuvvtu4/Dhwy7LlL7fX7rxxhuNzp07VyvHL1V1WXrpLRvKe1S0PJel41LZDEadAXXKZrNpypQpZU5/wb2NHz9eH3zwQbmnBFE9Gzdu1M0336yPP/5YN9xwg4KDg+XlVfMTCydPnlRJSYlCQ0P5t4RLxhgeAECduv322xUaGqo9e/Zc0vpt2rSpcnA/UBXG8AAA6kT37t21Zs0a53R59wOqjhUrVuj8+fOSpKioqFrLhysLhQcAUCeaNGlSK5fml15lB1wOxvAAAADLYwwPAACwPAoPAACwPMbw/Hz7+CNHjiggIKDC79oBAADuxTAMnT59WpGRkWW+PPiXKDySjhw5wsh/AAAaqEOHDlV5N3gKj+S87fyhQ4cUGBhodhwAAFANDodDUVFRLl/iXBG3LzybN2/W3LlztWvXLh09elT/+Mc/XL440TAMpaSk6C9/+Ytyc3N1ww036PXXX1e7du2q/Rqlp7ECAwMpPAAANDDVGY7i9oOWCwoK1L17d7366qvlPv/iiy/qz3/+sxYsWKAdO3bI399fiYmJOnv2bL1nBQAA7sntj/AkJSUpKSmp3OcMw9DLL7+sp556SsOGDZMk/e1vf1NYWJg+/vhjjRo1qp7TAgAAd+T2R3gqc+DAAWVlZbncyTMoKEjx8fHatm1bhesVFRXJ4XC4PAAAgHU16MKTlZUlSQoLC3OZHxYW5nyuPHPmzFFQUJDzwRVaAABYW4MuPJdqxowZysvLcz4OHTpkdiQAAFCHGnThCQ8PlyRlZ2e7zM/OznY+Vx673e68IosrswAAsL4GXXhat26t8PBwrVu3zjnP4XBox44d6t27t6nZAACA+3D7q7Ty8/OVlpbmnD5w4ID27Nmjpk2bKjo6Wg8//LCee+45tWvXTq1bt9bTTz+tyMhIl3v1AACAK5vbF56dO3fq5ptvdk5Pnz5dkjRu3DgtWrRIv/vd71RQUKD77rtPubm56tOnj1avXi1fX18TUwMAAHdiMwzDMDuE2RwOh4KCgpSXl8d4HgAAGoia/P5u0GN4AAAAqoPCAwAALI/CAwAALI/CAwAALI/CAwAALI/CAwAALI/CAwAALI/CAwAALI/CAwAALI/CAwAALI/CAwAALI/CAwAALI/CAwAALI/CAwAALI/CAwAALI/CAwAALI/CAwAALI/CAwAALI/CAwAALI/CAwAALI/CAwAALI/CAwAALI/CAwAALI/CAwAALI/CAwAALM/tCk+rVq1ks9nKPKZMmVLu8osWLSqzrK+vb73nBgAA7svL7AC/9PXXX6u4uNg5vXfvXt1yyy0aOXJkhesEBgYqNTXVOW2z2eo8JwAAaDjcrvCEhoa6TP/hD39Q27ZtdeONN1a4js1mU3h4eD2kAwAADZHbndK62Llz5/Tee+9p4sSJlR61yc/PV0xMjKKiojRs2DB999139ZoTAAC4N7cuPB9//LFyc3M1fvz4CpeJjY3V22+/rRUrVui9995TSUmJrr/+eh0+fLjCdYqKiuRwOFweAADAumyGYRhmh6hIYmKifHx89Omnn1Z7nfPnz6tjx44aPXq0nn322XKXmTVrlmbPnl1mfl5engIDAy8rMwAAqB8Oh0NBQUHV+v3ttkd4Dh48qLVr1+ree++t0Xre3t66+uqrlZaWVuEyM2bMUF5envNx6NChWkgMAADcldsWnoULF6p58+YaPHhwjdYrLi7Wt99+q4iIiAqXsdvtCgwMdHkAAADrcsvCU1JSooULF2rcuHHy8nK9kOyee+7RjBkznNPPPPOM/vnPf+rHH3/U7t27NWbMGB08eLDGR4YAAIB1ud1l6ZK0du1aZWZmauLEiWWey8zMlIfH//W0U6dOadKkScrKylKTJk0UFxenL7/8Up06darn1AAAwF259aDl+lKTQU8AAMA9WGLQMgAAQG2h8AAAAMuj8AAAAMuj8AAAAMuj8AAAAMuj8AAAAMuj8AAAAMuj8AAAAMuj8AAAAMuj8AAAAMuj8AAAAMuj8AAAAMuj8AAAAMuj8AAAAMuj8AAAAMuj8AAAAMuj8AAAAMuj8AAAAMuj8AAAAMuj8AAAAMuj8AAAAMuj8AAAAMuj8AAAAMvzMjsAGo7MzEzl5OSYHcOSQkJCFB0dbXYMALAsCg+qJTMzU7EdYnW28KzZUSzJ189XqftSKT0AUEcoPKiWnJwcnS08q8B+beUV7Gd2HEu5kFsox/p05eTkUHgAoI5YovDMmjVLs2fPdpkXGxurffv2mZbJqryC/eQd6m92DAAAasQShUeSOnfurLVr1zqnvbws89YAAMBlskwr8PLyUnh4uNkxAACAG7LMZen79+9XZGSk2rRpo7vvvluZmZkVLltUVCSHw+HyAAAA1mWJwhMfH69FixZp9erVev3113XgwAElJCTo9OnT5S4/Z84cBQUFOR9RUVH1nhkAANQfSxSepKQkjRw5Ut26dVNiYqJWrlyp3NxcLVu2rNzlZ8yYoby8POfj0KFD9Z4ZAADUH8uM4blYcHCw2rdvr7S0tHKft9vtstvt9Z4LAACYwxJHeH4pPz9f6enpioiIMDsKAABwA5YoPI8++qg2bdqkjIwMffnll7rjjjvk6emp0aNHmx0NAAC4AUuc0jp8+LBGjx6tEydOKDQ0VH369NH27dsVGhpqdjQAAOAGLFF4lixZYnYEAADgxixxSgsAAKAyFB4AAGB5FB4AAGB5FB4AAGB5FB4AAGB5FB4AAGB5FB4AAGB5lrgPD+rPhdxCsyNYzvmcArMjAIDlUXhQLSEhIfL185VjfbrZUSyL734DgLpD4UG1REdHK3VfqnJycsyOYkkREREUHgCoQxQewA1kZGTo6NGjZsewrJCQEEVHR5sdA4CJKDyolszMTMV2iNXZwrNmR7EmmyTD7BDW5evnq9R9qZQe4ApG4UG15OTk6GzhWQX2ayuvYD+z41hK0aFcFXx9mH1bRy7kFsqxPl05OTkUHuAKRuFBjXgF+8k71N/sGJZy4dT/XvnGvgWAusN9eAAAgOVReAAAgOVReAAAgOVReAAAgOVReAAAgOVReAAAgOVReAAAgOVReAAAgOVReAAAgOVReAAAgOVReAAAgOW5VeGZM2eOrr32WgUEBKh58+a6/fbblZqaWuk6ixYtks1mc3n4+vrWW2YAAOD+3KrwbNq0SVOmTNH27du1Zs0anT9/XgMHDlRBQUGl6wUGBuro0aPOx8GDB+stMwAAcH9u9W3pq1evdpletGiRmjdvrl27dqlv374Vrmez2RQeHl4PCQEAQEPkVkd4fikvL0+S1LRp00qXy8/PV0xMjKKiojRs2DB999139ZQQAAA0BG5beEpKSvTwww/rhhtuUJcuXSpcLjY2Vm+//bZWrFih9957TyUlJbr++ut1+PDhCtcpKiqSw+FweQAAAOtyq1NaF5syZYr27t2rrVu3Vrpc79691bt3b+f09ddfr44dO+qNN97Qs88+W+46c+bM0ezZs2s985XgQm6h2REsh30KAHXPLQvP1KlT9dlnn2nz5s1q2bJljdb19vbW1VdfrbS0tAqXmTFjhqZPn+6cdjgcioqKuqzMVhcSEiJfP1851qebHQUAgBpzq8JjGIYeeOAB/eMf/9DGjRvVunXrGm+juLhY3377rW699dYKl7Hb7bLb7ZeZ9soSHR2t1H2pysnJMTuK5fzwww8aM2aM2TEAwNLcqvBMmTJF77//vlasWKGAgABlZWVJkoKCguTn5ydJuueee9SiRQvNmTNHkvTMM8/ouuuu01VXXaXc3FzNnTtXBw8e1L333mvqe7Gi6OhoRUdHmx0DAIAac6vC8/rrr0uSbrrpJpf5Cxcu1Pjx4yVJmZmZ8vD4v7HWp06d0qRJk5SVlaUmTZooLi5OX375pTp16lTP6QEAgLtyq8JjGEaVy2zcuNFlet68eZo3b14dpgIAAA2d216WDgAAUFsoPAAAwPIoPAAAwPIoPAAAwPIoPAAAwPIoPAAAwPIu6bL0zMxMHTx4UGfOnFFoaKg6d+7MnYsBAIDbqnbhycjI0Ouvv64lS5bo8OHDLvfM8fHxUUJCgu677z6NGDHC5caAAAAAZqtWM3nwwQfVvXt3HThwQM8995y+//575eXl6dy5c8rKytLKlSvVp08fzZw5U926ddPXX39d98kBAACqqVpHePz9/fXjjz+qWbNmZZ5r3ry5+vXrp379+iklJUWrV6/WoUOHdO2119ZFXsCyLuQWmh3Bks7nFJgdAYAbsBnV+T4Hi3M4HAoKClJeXp4CAwPNjoMrTGZmpmI7xOps4Vmzo1jakSNHFBERYXYMALWoJr+/3eq7tIArUXR0tFL3pSonJ8fsKJYVERFB2QGucDUuPCdOnNDMmTO1YcMGHTt2TCUlJS7Pnzx5sjbzAcBly8jI0NGjR82OYVkhISGKjo42OwZQqRoXnrFjxyotLU3JyckKCwuTzWarm2TAFYJTWvXAJumKP3lfd3z9fJW6L5XSA7dW48KzZcsWbd26Vd27d6+bRMAVJicnR2cLzyqwX1t5BfuZHcdyig7lquDrw+zfOnIht1CO9enKycmh8MCt1bjwdOjQQYWFXE0C1DavYD95h/qbHcNyLpz6359X7F/gylbjOwS+9tprevLJJ7Vp0yadOHFCDofD5QEAAOBuanyEJzg4WA6HQ/369XOZbxiGbDabiouLazMfAADAZatx4bn77rvl7e2t999/n0HLAACgQahx4dm7d6/+/e9/KzY2tm4SAQAA1LIaj+Hp2bOnDh06VDdpAAAA6kCNj/A88MADeuihh/TYY4+pa9eu8vb2dnm+W7dutZkPAADgstW48Nx5552SpIkTJzrn2Ww2Bi0DAAC3VePCc+DAgbpJAgAAUEdqXHhiYmLqJgkAAEAduaRvSz9y5Ii2bt1a7peHPvjgg7WVDQAAoFbUuPAsWrRIkydPlo+Pj5o1a+ZyHx6bzWZa4Xn11Vc1d+5cZWVlqXv37po/f7569eplShYAAOBeanxZ+tNPP62ZM2cqLy9PGRkZOnDggPPx448/1k3KKixdulTTp09XSkqKdu/ere7duysxMVHHjh0zJQ8AAHAvNS48Z86c0ahRo+ThUeNV68xLL72kSZMmacKECerUqZMWLFigRo0a6e233zY7GgAAcAM1bi3Jyclavnx53aS5BOfOndOuXbs0YMAA5zwPDw8NGDBA27ZtK3edoqIivvQUAIArSI3H8MyZM0e33XabVq9eXe6NB1966aXazFelnJwcFRcXKywszGV+WFiY9u3bV+46c+bM0ezZs+spIQAAMNslFZ4vvvjC+V1avxy03BDMmDFD06dPd047HA5FRUWZmgkAANSdGhee//f//p/efvttjR8/vm4S1VBISIg8PT2VnZ3tMj87O1vh4eHlrmO322W32+spIQAAMFuNx/DY7XbdcMMNdZPmEvj4+CguLk7r1q1zzispKdG6devUu3dvU7MBAAD3UOPC89BDD2n+/Pl1k+YSTZ8+XX/5y1/0zjvv6IcfftBvf/tbFRQUaMKECWZHAwAAbqDGp7S++uorrV+/Xp999pk6d+5cZtDyRx99VJv5quXOO+/U8ePHNXPmTGVlZalHjx5avXp1mYHMAADgylTjwhMcHKzhw4fXTZrLMHXqVE2dOtXsGAAAwA3VuPAsXLiwbpIAAADUEfe5XTIAAEAdqVbhGTRokLZv317lcqdPn9YLL7ygV199tTayAQAA1IpqndIaOXKkRowYoaCgIA0ZMkQ9e/ZUZGSkfH19derUKX3//ffaunWrVq5cqcGDB2vu3Ll1nxwAAKCaqlV4kpOTNWbMGC1fvlxLly7Vm2++qby8POnnuyt36tRJiYmJ+vrrr9WxY8e6zgwAAFAj1R60bLfbNWbMGI0ZM0aSlJeXp8LCQjVr1qzMpekAAADupMZXaZUKCgpSUFBQ7aYBAACoA1ylBQAALI/CAwAALI/CAwAALO+Sx/AAqF0XcgvNjmBJpfuV/Vs3zucUmB0BqJYaF55x48YpOTlZffv2rZtEwBUmJCREvn6+cqxPNzuKddnE/q1jERERZkcAKlXjwpOXl6cBAwYoJiZGEyZM0Lhx49SiRYu6SQdcAaKjo5W6L1U5OTlmR7Gsn376SQ6Hw+wYltW+fXsKD9yezTAMo6YrHT9+XO+++67eeecdff/99xowYICSk5M1bNiwBnlPHofDoaCgIOXl5SkwMNDsOABqUWZmpmI7xOps4Vmzo1iWr5+vUvelKjo62uwouMLU5Pf3JRWei+3evVsLFy7UX//6VzVu3FhjxozR/fffr3bt2l3OZusVhQewrt27dysuLk6B/drKK9jP7DiWcyG3UI716dq1a5euueYas+PgClOT39+XNWj56NGjWrNmjdasWSNPT0/deuut+vbbb9WpUye9+OKLmjZt2uVsHgBqjVewn7xD/c2OAcAkNb4s/fz58/rwww912223KSYmRsuXL9fDDz+sI0eO6J133tHatWu1bNkyPfPMM3WTGAAAoIZqfIQnIiJCJSUlGj16tL766iv16NGjzDI333yzgoODaysjAADAZalx4Zk3b55GjhwpX1/fCpcJDg7WgQMHLjcbAABArahx4Rk7dmzdJAEAAKgjfLUEAACwPAoPAACwPAoPAACwPAoPAACwPAoPAACwPLcpPOfPn9fjjz+url27yt/fX5GRkbrnnnt05MiRStebNWuWbDaby6NDhw71lhsAALi/y/pqidp05swZ7d69W08//bS6d++uU6dO6aGHHtLQoUO1c+fOStft3Lmz1q5d65z28nKbtwUAANyA2zSDoKAgrVmzxmXeK6+8ol69eikzM7PSb+H18vJSeHh4PaQEAJTnhx9+MDuCJYWEhPAt9LXEbQpPefLy8mSz2ar8mor9+/crMjJSvr6+6t27t+bMmcMHBADqQfGZc5JNGjNmjNlRLMnXz1ep+1L5nVYL3LbwnD17Vo8//rhGjx5d6Ve+x8fHa9GiRYqNjdXRo0c1e/ZsJSQkaO/evQoICCh3naKiIhUVFTmnHQ5HnbwHALA6o6hYMqTAfm3lFexndhxLuZBbKMf6dOXk5FB4aoFphWfx4sWaPHmyc3rVqlVKSEiQfh7A/Otf/1qGYej111+vdDtJSUnOP3fr1k3x8fGKiYnRsmXLlJycXO46c+bM0ezZs2vtvQDAlc4r2E/eof5mxwAqZFrhGTp0qOLj453TLVq0kC4qOwcPHtT69esrPbpTnuDgYLVv315paWkVLjNjxgxNnz7dOe1wOBQVFXVJ7wMAALg/0wpPQEBAmVNOpWVn//792rBhg5o1a1bj7ebn5ys9Pb3SLzm12+2y2+2XlBsAADQ8bnUfnl/96lfauXOnFi9erOLiYmVlZSkrK0vnzp1zLte/f3+98sorzulHH31UmzZtUkZGhr788kvdcccd8vT01OjRo016JwAAwN24zaDln376SZ988okkqUePHi7PbdiwQTfddJMkKT39fwdwlTp8+LBGjx6tEydOKDQ0VH369NH27dsVGhpaz+8AAAC4K7cpPK1atZJhGFUul5GR4TK9ZMmSOkwFAACswG1OaQEAANQVCg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8t/kuLQCoSxdyC82OYEml+5X9W/vO5xSYHcFSKDwALC0kJES+fr5yrE83O4p12cT+rUMRERFmR7AECg8AS4uOjlbqvlTl5OSYHcWyiouL5enpaXYMS4qIiKDw1BIKDwDLi46OVnR0tNkxLCszM5NCWUfOnz9vdgTLoPAAAC5ZZmamYjvE6mzhWbOjWJKvn69S96VS2GsBhQcAcMlycnJ0tvCsAvu1lVewn9lxLOVCbqEc69OVk5ND4akFFB4AwGXzCvaTd6i/2TGACnEfHgAAYHkUHgAAYHkUHgAAYHkUHgAAYHkUHgAAYHkUHgAAYHkUHgAAYHkNvvCMHz9eNpvN5TFo0CCzYwEAADdiiRsPDho0SAsXLnRO2+12U/MAAAD3YonCY7fbFR4ebnYMAADgphr8KS1J2rhxo5o3b67Y2Fj99re/1YkTJ8yOBAAA3EiDP8IzaNAgDR8+XK1bt1Z6erqeeOIJJSUladu2bfL09Cx3naKiIhUVFTmnHQ5HPSYGAAD1rUEVnsWLF2vy5MnO6VWrVmnUqFHO6a5du6pbt25q27atNm7cqP79+5e7nTlz5mj27Nn1khkAAJivQZ3SGjp0qPbs2eN89OzZs8wybdq0UUhIiNLS0irczowZM5SXl+d8HDp0qI6TAwAAMzWoIzwBAQEKCAiodJnDhw/rxIkTioiIqHAZu93OlVwAAFxBGtQRnl/Kz8/XY489pu3btysjI0Pr1q3TsGHDdNVVVykxMdHseAAAwE006MLj6empb775RkOHDlX79u2VnJysuLg4bdmyhSM4AADAqUGd0volPz8/ffHFF2bHAIAr3oXcQrMjWM75nAKzI1hKgy48AABzhYSEyNfPV4716WZHsazKxqSi+ig8AIBLFh0drdR9qcrJyTE7iiVFRERQeGoJhQcAcFmio6MVHR1tdgygUg160DIAAEB1UHgAAIDlUXgAAIDlUXgAAIDlUXgAAIDlUXgAAIDlUXgAAIDlUXgAAIDlUXgAAIDlUXgAAIDlUXgAAIDlUXgAAIDlUXgAAIDlUXgAAIDlUXgAAIDlUXgAAIDlUXgAAIDlUXgAAIDlUXgAAIDlUXgAAIDlUXgAAIDlUXgAAIDlUXgAAIDluVXhsdls5T7mzp1b4TqzZs0qs3yHDh3qNTcAAHBvXmYHuNjRo0ddpletWqXk5GSNGDGi0vU6d+6stWvXOqe9vNzqbQEAAJO5VTMIDw93mV6xYoVuvvlmtWnTptL1vLy8yqwLAABQyq1OaV0sOztbn3/+uZKTk6tcdv/+/YqMjFSbNm109913KzMzs9Lli4qK5HA4XB4AAMC63LbwvPPOOwoICNDw4cMrXS4+Pl6LFi3S6tWr9frrr+vAgQNKSEjQ6dOnK1xnzpw5CgoKcj6ioqLq4B0AAAB3YTMMwzDjhRcvXqzJkyc7p1etWqWEhATndIcOHXTLLbdo/vz5Ndpubm6uYmJi9NJLL1V4dKioqEhFRUXOaYfDoaioKOXl5SkwMPCS3g8AAKhfDodDQUFB1fr9bdoYnqFDhyo+Pt453aJFC+eft2zZotTUVC1durTG2w0ODlb79u2VlpZW4TJ2u112u/0SUgMAgIbItMITEBCggICAcp976623FBcXp+7du9d4u/n5+UpPT9fYsWNrISUAALACtxvD43A4tHz5ct17773lPt+/f3+98sorzulHH31UmzZtUkZGhr788kvdcccd8vT01OjRo+sxNQAAcGdudVm6JC1ZskSGYVRYWNLT05WTk+OcPnz4sEaPHq0TJ04oNDRUffr00fbt2xUaGlqPqQEAgDszbdCyO6nJoCcAAOAeavL72+1OaQEAANQ2Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8Cg8AALA8ty48H330kQYOHKhmzZrJZrNpz549ZZY5e/aspkyZombNmqlx48YaMWKEsrOzTckLAADck1sXnoKCAvXp00cvvPBChctMmzZNn376qZYvX65NmzbpyJEjGj58eL3mBAAA7s3L7ACVGTt2rCQpIyOj3Ofz8vL01ltv6f3331e/fv0kSQsXLlTHjh21fft2XXfddfWaFwAAuCe3PsJTlV27dun8+fMaMGCAc16HDh0UHR2tbdu2mZoNAAC4D7c+wlOVrKws+fj4KDg42GV+WFiYsrKyKlyvqKhIRUVFzmmHw1GnOQEAgLnc5gjP4sWL1bhxY+djy5YtdfZac+bMUVBQkPMRFRVVZ68FAADM5zZHeIYOHar4+HjndIsWLapcJzw8XOfOnVNubq7LUZ7s7GyFh4dXuN6MGTM0ffp057TD4aD0AABgYW5TeAICAhQQEFCjdeLi4uTt7a1169ZpxIgRkqTU1FRlZmaqd+/eFa5nt9tlt9svOzMAAGgY3KbwlOfkyZPKzMzUkSNHpJ/LjH4+shMeHq6goCAlJydr+vTpatq0qQIDA/XAAw+od+/eXKEFAACc3GYMT3k++eQTXX311Ro8eLAkadSoUbr66qu1YMEC5zLz5s3TbbfdphEjRqhv374KDw/XRx99ZGJqAADgbmyGYRhmhzBbXl6egoODdejQIQUGBpodBwAAVEPpGNzc3FwFBQVVuqxbn9KqL6dPn5YkBi4DANAAnT59usrCwxEeSSUlJTpy5IgCAgJks9nq5TVLWylHlSrGPqoa+6hq7KOqsY+qxj6qmhn7yDAMnT59WpGRkfLwqHyUDkd4JHl4eKhly5amvHZgYCD/eKrAPqoa+6hq7KOqsY+qxj6qWn3vo6qO7JRy60HLAAAAtYHCAwAALI/CYxK73a6UlBRugFgJ9lHV2EdVYx9VjX1UNfZR1dx9HzFoGQAAWB5HeAAAgOVReAAAgOVReAAAgOVReOrJRx99pIEDB6pZs2ay2Wzas2dPmWVuuukm2Ww2l8dvfvMbU/LWt+rsn7Nnz2rKlClq1qyZGjdurBEjRig7O9uUvO5i/PjxZT4zgwYNMjuWW3n11VfVqlUr+fr6Kj4+Xl999ZXZkdzGrFmzynx+OnToYHYsU23evFlDhgxRZGSkbDabPv74Y5fnDcPQzJkzFRERIT8/Pw0YMED79+83La8ZqtpH7vpzicJTTwoKCtSnTx+98MILlS43adIkHT161Pl48cUX6y2jmaqzf6ZNm6ZPP/1Uy5cv16ZNm3TkyBENHz68XnO6o0GDBrl8Zv7+97+bHcltLF26VNOnT1dKSop2796t7t27KzExUceOHTM7mtvo3Lmzy+dn69atZkcyVUFBgbp3765XX3213OdffPFF/fnPf9aCBQu0Y8cO+fv7KzExUWfPnq33rGapah/JTX8ucaflejJ27FhJUkZGRqXLNWrUSOHh4fWUyn1UtX/y8vL01ltv6f3331e/fv0kSQsXLlTHjh21fft2XXfddfWa153Y7fYr8jNTHS+99JImTZqkCRMmSJIWLFigzz//XG+//bZ+//vfmx3PLXh5efH5uUhSUpKSkpLKfc4wDL388st66qmnNGzYMEnS3/72N4WFhenjjz/WqFGj6jmtOSrbR6Xc8ecSR3jczOLFixUSEqIuXbpoxowZOnPmjNmR3MKuXbt0/vx5DRgwwDmvQ4cOio6O1rZt20zNZraNGzeqefPmio2N1W9/+1udOHHC7Ehu4dy5c9q1a5fLZ8bDw0MDBgy44j8zF9u/f78iIyPVpk0b3X333crMzDQ7kts6cOCAsrKyXD5TQUFBio+P5zP1C+74c4kjPG7krrvuUkxMjCIjI/XNN9/o8ccfV2pqqj766COzo5kuKytLPj4+Cg4OdpkfFhamrKws03KZbdCgQRo+fLhat26t9PR0PfHEE0pKStK2bdvk6elpdjxT5eTkqLi4WGFhYS7zw8LCtG/fPtNyuZP4+HgtWrRIsbGxOnr0qGbPnq2EhATt3btXAQEBZsdzO6U/a8r7TF3JP4d+yV1/LlF46sDixYs1efJk5/SqVauUkJBQ5Xr33Xef889du3ZVRESE+vfvr/T0dLVt27bO8ta3S90/V7ry9tvFh9C7du2qbt26qW3bttq4caP69+9vUlI0FBeflujWrZvi4+MVExOjZcuWKTk52dRsaLjc9ecShacODB06VPHx8c7pFi1aXNJ2SreRlpZmqcJzKfsnPDxc586dU25urstRnuzsbLc7T1xXqrPf2rRpo5CQEKWlpV3xhSckJESenp5lruS7kj4zNRUcHKz27dsrLS3N7ChuqfRzk52drYiICOf87Oxs9ejRw8Rk7s1dfi4xhqcOBAQE6KqrrnI+/Pz8Lmk7pZdmX/wPywouZf/ExcXJ29tb69atc85LTU1VZmamevfuXceJ3UN19tvhw4d14sQJy31mLoWPj4/i4uJcPjMlJSVat27dFfOZqan8/Hylp6fz+alA69atFR4e7vKZcjgc2rFjB5+pSrjLzyWO8NSTkydPKjMzU0eOHJF+/mWtn//HEB4ervT0dL3//vu69dZb1axZM33zzTeaNm2a+vbtq27dupmcvu5VtX+CgoKUnJys6dOnq2nTpgoMDNQDDzyg3r17X7FXaOXn52v27NkaMWKE8zP0u9/9TldddZUSExPNjucWpk+frnHjxqlnz57q1auXXn75ZRUUFDiv2rrSPfrooxoyZIhiYmJ05MgRpaSkyNPTU6NHjzY7mmny8/NdjnAdOHBAe/bsUdOmTRUdHa2HH35Yzz33nNq1a6fWrVvr6aefVmRkpG6//XZTc9enyvZR06ZN3ffnkoF6sXDhQkNSmUdKSophGIaRmZlp9O3b12jatKlht9uNq666ynjssceMvLw8s6PXi6r2j2EYRmFhoXH//fcbTZo0MRo1amTccccdxtGjR03NbaYzZ84YAwcONEJDQw1vb28jJibGmDRpkpGVlWV2NLcyf/58Izo62vDx8TF69eplbN++3exIbuPOO+80IiIiDB8fH6NFixbGnXfeaaSlpZkdy1QbNmwo92fRuHHjDMMwjJKSEuPpp582wsLCDLvdbvTv399ITU01O3a9qmwfufPPJb4tHQAAWB5jeAAAgOVReAAAgOVReAAAgOVReAAAgOVReAAAgOVReAAAgOVReAAAgOVReAAAgOVReAAAgOVReAA0WG+99ZYGDhxoymv//ve/1wMPPGDKawOoOb5aAkCDdPbsWbVp00bLly/XDTfcUO+vn5OTozZt2mjPnj1q06ZNvb8+gJrhCA+ABumDDz5QYGCgKWVHkkJCQpSYmKjXX3/dlNcHUDMUHgCmOn78uMLDw/X8888753355Zfy8fHRunXrKlxvyZIlGjJkiMu88ePH6/bbb9fzzz+vsLAwBQcH65lnntGFCxf02GOPqWnTpmrZsqUWLlzoXCcjI0M2m03Lli1TQkKC/Pz8dO211+q///2vvv76a/Xs2VONGzdWUlKSjh8/7vJ6Q4YM0ZIlS2p1fwCoGxQeAKYKDQ3V22+/rVmzZmnnzp06ffq0xo4dq6lTp6p///4Vrrd161b17NmzzPz169fryJEj2rx5s1566SWlpKTotttuU5MmTbRjxw795je/0eTJk3X48GGX9VJSUvTUU09p9+7d8vLy0l133aXf/e53+tOf/qQtW7YoLS1NM2fOdFmnV69eOnz4sDIyMmpxjwCoEwYAuIH777/faN++vXHXXXcZXbt2Nc6ePVvhsqdOnTIkGZs3b3aZP27cOCMmJsYoLi52zouNjTUSEhKc0xcuXDD8/f2Nv//974ZhGMaBAwcMScZf//pX5zJ///vfDUnGunXrnPPmzJljxMbGurxeXl6eIcnYuHHjZb57AHXNy+zCBQCS9Mc//lFdunTR8uXLtWvXLtnt9gqXLSwslCT5+vqWea5z587y8Pi/g9dhYWHq0qWLc9rT01PNmjXTsWPHXNbr1q2byzqS1LVrV5d5v1zHz89PknTmzJkavVcA9Y9TWgDcQnp6uo4cOaKSkpIqTxE1a9ZMNptNp06dKvOct7e3y7TNZit3XklJSYXr2Wy2cuf9cp2TJ09KP5+WA+DeKDwATHfu3DmNGTNGd955p5599lnde++9ZY6mXMzHx0edOnXS999/X685f2nv3r3y9vZW586dTc0BoGoUHgCme/LJJ5WXl6c///nPevzxx9W+fXtNnDix0nUSExO1devWestYni1btjiv7ALg3ig8AEy1ceNGvfzyy3r33XcVGBgoDw8Pvfvuu9qyZUul97hJTk7WypUrlZeXV695L7ZkyRJNmjTJtNcHUH3caRlAgzVy5Ehdc801mjFjRr2/9qpVq/TII4/om2++kZcX138A7o4jPAAarLlz56px48amvHZBQYEWLlxI2QEaCI7wAAAAy+MIDwAAsDwKDwAAsDwKDwAAsDwKDwAAsDwKDwAAsDwKDwAAsDwKDwAAsDwKDwAAsDwKDwAAsLz/DyWeIhSzUWA2AAAAAElFTkSuQmCC",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -355,7 +356,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABRYAAAHqCAYAAABxxBKvAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjUsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvWftoOwAAAAlwSFlzAAAPYQAAD2EBqD+naQAA6ZpJREFUeJzs3Xl8E3X+P/DX5D7a9KB3oeUocimHCCwiiIoWZEVXRcVFEVHRBVHwxJ+CICuiq7DigboKVTzQ9fzqiloXRFe8OOQUy1WKvc+0SdscM78/SkJCjqY0adL09Xw8eJiZ98x7Pp9OTKafzuc9giRJEoiIiIiIiIiIiIjaQBbuBhAREREREREREVHnw4FFIiIiIiIiIiIiajMOLBIREREREREREVGbcWCRiIiIiIiIiIiI2owDi0RERERERERERNRmHFgkIiIiIiIiIiKiNuPAIhEREREREREREbUZBxaJiIiIiIiIiIiozTiwSERERERERERERG3GgUUiogi2efNmCIKAzZs3h7spAfv5559x7rnnQq/XQxAE7Ny5M9xNOm2CIODRRx8NdzOIiIiIOkzPnj1x0003tbrdunXrIAgCjh49GvI2RcJx22Pjxo0YOnQoNBoNBEFAbW1tuJtEFDQcWCSiLkUQhID+daaBvEhitVoxdepUVFdXY+XKlXjjjTeQnZ0d7mYRERERdXm7d+/G1VdfjezsbGg0GmRmZuLiiy/G6tWrw920qFZVVYVrrrkGWq0Wzz//PN544w3o9fpwNwsA8Pjjj+Ojjz4KaNuioiIsWbIEI0eOREJCApKSkjB+/Hjk5+eHtpEU8RThbgARUUd644033JZff/11fPXVVx7rBwwY0JHN8mncuHFobGyESqUKd1MCcujQIRQWFuKVV17BLbfcEu7mEBERERGA77//HhdccAGysrJw6623Ii0tDUVFRfjhhx/wz3/+E3feeadz2wMHDkAmi9x7kG644QZcd911UKvV4W5KQH7++WfU19fjsccew4QJE8LdHDePP/44rr76alxxxRWtbvvxxx9jxYoVuOKKKzBjxgzYbDa8/vrruPjii/Haa69h5syZoW8wRSQOLBJRlzJ9+nS35R9++AFfffWVx/pIIZPJoNFowt2MgJWXlwMA4uPjw9uQCNTU1ASVShXRF+pEREQUnf7+978jLi4OP//8s8d1muP6zSHSB+zkcjnkcnm4mxGwSLs+liQJTU1N0Gq1bdrvggsuwLFjx5CUlORcd/vtt2Po0KFYtGgRBxa7MP52Q0R0CpPJhHvuuQc9evSAWq1Gv3798I9//AOSJLltJwgC5s6dizfffBP9+vWDRqPB8OHDsWXLFr/5y8rKoFAosGTJEo/YgQMHIAgCnnvuOQC+ayz++OOPmDhxIuLi4qDT6XD++efjf//7nzO+a9cuCIKATz75xLlu27ZtEAQBZ599tluuSZMmYdSoUa3+XP773/9i7Nix0Ov1iI+Px+WXX479+/c74zfddBPOP/98AMDUqVMhCALGjx/vN2dtbS3mz5+Pnj17Qq1Wo3v37rjxxhtRWVnp3Ka8vByzZs1CamoqNBoNhgwZgry8PLc8vn5OR48ehSAIWLdunVs7Y2JicPjwYeTm5kKv1yMjIwNLly71OMfe/PHHH7j55puRmpoKtVqNQYMG4bXXXvPannfeeQcPP/wwMjMzodPpYDQaW81PREREFGyHDh3CoEGDvA5upaSkuC17q7G4d+9eXHjhhdBqtejevTuWLVsGURS9Huvzzz93XjPGxsZi8uTJ2Lt3r9/2/fLLLxAEweMaDwC++OILCIKATz/9FIDvGoutHfeTTz6BIAjYtWuXc937778PQRBw5ZVXuuUaMGAArr32Wr9tBoD33nsPw4cPh1arRVJSEqZPn44//vjDGR8/fjxmzJgBABgxYgQEQfBbv/LRRx+FIAj47bffcM0118BgMKBbt26466670NTU5LatzWbDY489hj59+kCtVqNnz5546KGH0Nzc7LZdz5498ec//xlffPEFzjnnHGi1Wrz00ksQBAEmkwl5eXnOclD+2jZo0CC3QUWgZRD60ksvxfHjx1FfX9/qz4uiE+9YJCJyIUkSpkyZgk2bNmHWrFkYOnQovvjiC9x33334448/sHLlSrftv/nmG2zYsAHz5s2DWq3GCy+8gIkTJ+Knn37CmWee6fUYqampOP/88/Huu+9i8eLFbrENGzZALpdj6tSpPtv43//+F5MmTcLw4cOxePFiyGQyrF27FhdeeCG+/fZbjBw5EmeeeSbi4+OxZcsWTJkyBQDw7bffQiaT4ddff4XRaITBYIAoivj+++9x2223+f255OfnY9KkSejduzceffRRNDY2YvXq1RgzZgy2b9+Onj17Yvbs2cjMzMTjjz+OefPmYcSIEUhNTfWZs6GhAWPHjsX+/ftx88034+yzz0ZlZSU++eQTHD9+HElJSWhsbMT48eNx8OBBzJ07F7169cJ7772Hm266CbW1tbjrrrv8ttsXu92OiRMn4k9/+hOefPJJbNy4EYsXL4bNZsPSpUt97ldWVoY//elPzkHl5ORkfP7555g1axaMRiPuvvtut+0fe+wxqFQq3HvvvWhubu40U9qJiIgoumRnZ2Pr1q3Ys2ePz2tUX0pLS3HBBRfAZrPhwQcfhF6vx8svv+z1jrc33ngDM2bMQG5uLlasWAGz2YwXX3wR5513Hnbs2IGePXt6PcY555yD3r17491333UOxDls2LABCQkJyM3N9dnGQI573nnnQRAEbNmyBYMHDwZw8vr4u+++c+aqqKjAb7/9hrlz5/r9uaxbtw4zZ87EiBEjsHz5cpSVleGf//wn/ve//2HHjh2Ij4/H//t//w/9+vXDyy+/jKVLl6JXr17o06eP37wAcM0116Bnz55Yvnw5fvjhBzz77LOoqanB66+/7tzmlltuQV5eHq6++mrcc889+PHHH7F8+XLs378fH374oVu+AwcOYNq0aZg9ezZuvfVW9OvXD2+88QZuueUWjBw50vm7QCBtO1VpaSl0Oh10Ol2b96UoIRERdWFz5syRXD8KP/roIwmAtGzZMrftrr76akkQBOngwYPOdQAkANIvv/ziXFdYWChpNBrpL3/5i9/jvvTSSxIAaffu3W7rBw4cKF144YXO5U2bNkkApE2bNkmSJEmiKEp9+/aVcnNzJVEUnduZzWapV69e0sUXX+xcN3nyZGnkyJHO5SuvvFK68sorJblcLn3++eeSJEnS9u3bJQDSxx9/7Le9Q4cOlVJSUqSqqirnul9//VWSyWTSjTfe6NHe9957z28+SZKkRYsWSQCkDz74wCPm6NuqVaskANL69eudMYvFIo0ePVqKiYmRjEaj15+Tw5EjRyQA0tq1a53rZsyYIQGQ7rzzTrfjTZ48WVKpVFJFRYVzPQBp8eLFzuVZs2ZJ6enpUmVlpdtxrrvuOikuLk4ym81u7endu7dzHREREVG4fPnll5JcLpfkcrk0evRo6f7775e++OILyWKxeGybnZ0tzZgxw7l89913SwCkH3/80bmuvLxciouLkwBIR44ckSRJkurr66X4+Hjp1ltvdctXWloqxcXFeaw/1cKFCyWlUilVV1c71zU3N0vx8fHSzTff7Fy3du3a0z7uoEGDpGuuuca5fPbZZ0tTp06VAEj79++XJEmSPvjgAwmA9Ouvv/psq8VikVJSUqQzzzxTamxsdK7/9NNPJQDSokWLPNr7888/++2/JEnS4sWLJQDSlClT3Nb/7W9/c2vTzp07JQDSLbfc4rbdvffeKwGQ/vvf/zrXZWdnSwCkjRs3ehxPr9e7neu2KigokDQajXTDDTecdg7q/DgVmojIxX/+8x/I5XLMmzfPbf0999wDSZLw+eefu60fPXo0hg8f7lzOysrC5Zdfji+++AJ2u93nca688kooFAps2LDBuW7Pnj3Yt2+f32kXO3fuREFBAa6//npUVVWhsrISlZWVMJlMuOiii7BlyxbntJSxY8di+/btMJlMAIDvvvsOl156KYYOHYpvv/0WQMtfaQVBwHnnnefzmCUlJdi5cyduuukmJCYmOtcPHjwYF198Mf7zn//43Nef999/H0OGDMFf/vIXj5ggCABazkdaWhqmTZvmjCmVSsybNw8NDQ345ptvTuvYANz+Cu24A9Fisfh8sp0kSXj//fdx2WWXQZIk58++srISubm5qKurw/bt2932mTFjRpvr1xAREREF28UXX4ytW7diypQp+PXXX/Hkk08iNzcXmZmZbqVzvPnPf/6DP/3pTxg5cqRzXXJyMv7617+6bffVV1+htrYW06ZNc7tOksvlGDVqFDZt2uT3ONdeey2sVis++OAD57ovv/wStbW1fq+P23LcsWPHOq+D6+vr8euvv+K2225DUlKS2/VxfHy83zs7f/nlF5SXl+Nvf/ubWz30yZMno3///vjss8/89rU1c+bMcVt2PFzHcd3t+O+CBQvctrvnnnsAwOP4vXr18nvH5+kwm82YOnUqtFotnnjiiaDmps6FA4tERC4KCwuRkZGB2NhYt/WOp0QXFha6re/bt69HjjPOOANmsxkVFRU+j5OUlISLLroI7777rnPdhg0boFAoPGq8uCooKADQMmCVnJzs9u9f//oXmpubUVdXB6Dlwslms2Hr1q04cOAAysvLMXbsWIwbN87twmngwIFuA4befiYA0K9fP4/YgAEDnAObbXXo0KFWp+IUFhaib9++Hg888XU+AiWTydC7d2+3dWeccQYAeNTrcaioqEBtbS1efvllj5+9o1j1qcXPe/XqdVrtIyIiIgq2ESNG4IMPPkBNTQ1++uknLFy4EPX19bj66quxb98+n/s5rsdOdeq1oeM69cILL/S4Vvryyy89rpNONWTIEPTv39/tD+8bNmxAUlISLrzwQp/7teW4Y8eORUlJCQ4ePIjvv/8egiBg9OjRbgOO3377LcaMGeP3gXv+ro/79+9/2teoDqf+vPv06QOZTOa8Ti0sLIRMJkNOTo7bdmlpaYiPj/c4frCvSe12O6677jrs27cP//73v5GRkRHU/NS5sMYiEVGYXHfddZg5cyZ27tyJoUOH4t1338VFF13kURTZleNuxKeeegpDhw71uk1MTAyAllo1Go0GW7ZsQVZWFlJSUnDGGWdg7NixeOGFF9Dc3Ixvv/3W6x2DnY3jDsdT+btrtK0cP/vp06d71P5xcNTrceDdikRERBRpVCoVRowYgREjRuCMM87AzJkz8d5773nU/m4rx7XSG2+8gbS0NI+4QtH68MO1116Lv//976isrERsbCw++eQTTJs2ze++bTmuY5bOli1bcPjwYZx99tnQ6/UYO3Ysnn32WTQ0NGDHjh34+9//3mpbO5Kva11f608V7GvSW2+9FZ9++inefPNNv4O+1DVwYJGIyEV2djby8/NRX1/vdtfib7/95oy7cvyF1NXvv/8OnU6H5ORkv8e64oorMHv2bOdfZX///XcsXLjQ7z6OgsoGgwETJkzwu61KpcLIkSPx7bffIisrC2PHjgXQ8pfa5uZmvPnmmygrK8O4ceP85nH0+cCBAx6x3377DUlJSdDr9X5z+OrLnj17Wj32rl27IIqi21+NTz0fCQkJAFqeMu3K11+LRVHE4cOHnXcpAi0/fwA+i4onJycjNjYWdru91Z89ERERUWdwzjnnAGgpfeNLdna212veU68NHdepKSkpp32tdO2112LJkiV4//33kZqaCqPRiOuuu87vPm05blZWFrKysvDtt9/i8OHDzuvjcePGYcGCBXjvvfdgt9vbdH186sDagQMHPH5naKuCggK3uwwPHjwIURSd16nZ2dkQRREFBQXOmTxAy4MGa2trAz5+oAOTru677z6sXbsWq1atcitXRF0Xp0ITEbm49NJLYbfb8dxzz7mtX7lyJQRBwKRJk9zWb9261a2uXlFRET7++GNccsklkMvlfo8VHx+P3NxcvPvuu3jnnXegUqlwxRVX+N1n+PDh6NOnD/7xj3+goaHBI37q9OuxY8fixx9/xKZNm5wXTklJSRgwYABWrFjh3Maf9PR0DB06FHl5eW4Dd3v27MGXX36JSy+91O/+vlx11VX49ddfPZ5aB7TUMwRazkdpaanblBibzYbVq1cjJiYG559/PoCWiyu5XI4tW7a45XnhhRd8Ht/1HEuShOeeew5KpRIXXXSR1+3lcjmuuuoqvP/++14HRP1NfSciIiIKp02bNjmvr1w5avV5m9LrcOmll+KHH37ATz/95FxXUVGBN99802273NxcGAwGPP7447BarR55ArlWGjBgAM466yxs2LABGzZsQHp6equDfG097tixY/Hf//4XP/30k/M6eOjQoYiNjcUTTzwBrVbrVkPdm3POOQcpKSlYs2YNmpubnes///xz7N+/H5MnT261r/48//zzbsurV68GAOfvIo7r71WrVrlt98wzzwBAwMfX6/Uef5j356mnnsI//vEPPPTQQ7jrrrsC3o+iG+9YJCJycdlll+GCCy7A//t//w9Hjx7FkCFD8OWXX+Ljjz/G3Xff7fyLqMOZZ56J3NxczJs3D2q12jmQtWTJkoCOd+2112L69Ol44YUXkJubi/j4eL/by2Qy/Otf/8KkSZMwaNAgzJw5E5mZmfjjjz+wadMmGAwG/N///Z9z+7Fjx+Lvf/87ioqK3AYQx40bh5deegk9e/ZE9+7dW23nU089hUmTJmH06NGYNWsWGhsbsXr1asTFxeHRRx8NqK+nuu+++/Dvf/8bU6dOxc0334zhw4ejuroan3zyCdasWYMhQ4bgtttuw0svvYSbbroJ27ZtQ8+ePfHvf/8b//vf/7Bq1SrnXaVxcXGYOnUqVq9eDUEQ0KdPH3z66ac+a/loNBps3LgRM2bMwKhRo/D555/js88+w0MPPeT3TtMnnngCmzZtwqhRo3Drrbdi4MCBqK6uxvbt25Gfn4/q6urT+lkQERERhdKdd94Js9mMv/zlL+jfvz8sFgu+//57bNiwAT179nTWi/bm/vvvxxtvvIGJEyfirrvugl6vx8svv+ycWeJgMBjw4osv4oYbbsDZZ5+N6667DsnJyTh27Bg+++wzjBkzxuOP995ce+21WLRoETQaDWbNmuW31uHpHHfs2LF488033R5gKJfLce655+KLL77A+PHjoVKp/B5TqVRixYoVmDlzJs4//3xMmzYNZWVl+Oc//4mePXti/vz5rfbTnyNHjmDKlCmYOHEitm7divXr1+P666/HkCFDALTUo5wxYwZefvll1NbW4vzzz8dPP/2EvLw8XHHFFbjgggsCOs7w4cORn5+PZ555BhkZGejVqxdGjRrlddsPP/wQ999/P/r27YsBAwZg/fr1bvGLL74Yqamp7eo3dVLhfCQ1EVG4zZkzRzr1o7C+vl6aP3++lJGRISmVSqlv377SU089JYmi6LYdAGnOnDnS+vXrpb59+0pqtVoaNmyYtGnTpoCPbzQaJa1WKwGQ1q9f7xHftGmTBMAj544dO6Qrr7xS6tatm6RWq6Xs7Gzpmmuukb7++muP/HK5XIqNjZVsNptz/fr16yUA0g033BBwW/Pz86UxY8ZIWq1WMhgM0mWXXSbt27fPa3vfe++9gHJWVVVJc+fOlTIzMyWVSiV1795dmjFjhlRZWencpqysTJo5c6aUlJQkqVQq6ayzzpLWrl3rkauiokK66qqrJJ1OJyUkJEizZ8+W9uzZIwFw237GjBmSXq+XDh06JF1yySWSTqeTUlNTpcWLF0t2u90tJwBp8eLFbuvKysqkOXPmSD169JCUSqWUlpYmXXTRRdLLL7982j8HIiIiolD6/PPPpZtvvlnq37+/FBMTI6lUKiknJ0e68847pbKyMrdts7OzpRkzZrit27Vrl3T++edLGo1GyszMlB577DHp1VdflQBIR44ccdt206ZNUm5urhQXFydpNBqpT58+0k033ST98ssvAbW1oKBAAiABkL777juP+Nq1a9t13L1790oApAEDBritX7ZsmQRAeuSRRwJqpyRJ0oYNG6Rhw4ZJarVaSkxMlP76179Kx48f99ren3/+udV8ixcvlgBI+/btk66++mopNjZWSkhIkObOnSs1Nja6bWu1WqUlS5ZIvXr1kpRKpdSjRw9p4cKFUlNTk9t22dnZ0uTJk70e77fffpPGjRvn/H3k1PPurW2+/rXldyCKLoIkebkfmoiIWiUIAubMmRPQX14pctx0003497//7XUqORERERFRuDz66KNYsmQJKioq/D7QkSiSsMYiERERERERERERtRkHFomIiIiIiIiIiKjNOLBIREREREREREREbcYai0RERERERERERNRmvGORiIiIiIiIiIiI2owDi0RERERERERERNRminA3IBKIooji4mLExsZCEIRwN4eIiIiIOiFJklBfX4+MjAzIZPz7PUU3/g5FRNQ5Bft6hQOLAIqLi/Hyyy+joaEBFosFNputw9ugUqmcJ1QURVgslg5vg0KhgEJx8i3R3NyMji7BKQgC1Gq1c9lms/F8nMDzwfPB83ESz8dJPB8teD5O4vk4qaPPh1wuxwsvvICioiJ07949pMciCrfi4mL06NEj3M0gIqLTFKzrFQ4sAoiNjUVDQwOuu+46pKWlucWOHTsGAMjKyvLYryNjHXEs12Vvr08VzJjNZMO3077FtO+mobS6NOTHY4wxxhhjjLFoizm+S8e+PRYKve9LPH/5WuNt31OvGxzCeU0TSCwUx9qxYwdeeOEFxMbGesSIoo3jfV5UVASDweAWO3ToEACgT58+QT1mZ8sbytzMG9q8B349gC/GfYHZRbOhNqhb36EVwW5npOcLRU7mC14+o9GIHj16BO16hQOLaPmrus1mQ1pamsdFouMv294uHjsy1hHHcl329vpUwYxZ663Q1mjRo3sPQOV1tw5rC2OMMcYYY4x1xpjjuzQ1JRXKWKXX7VvL1xpv+5563eAQzmuaQGKhOJZj0JHTQikcnn/+eTz11FMoLS3FkCFDsHr1aowcOdLrtuvWrcPMmTPd1qnVajQ1NQV8PMf73GAweAwsOn5ZPXV9e3W2vKHMzbyhzRsTEwMNNDAYDEEZWAx2OyM9XyhyMl/w8wXreoXFX04Ix1QlIiIiIiKi9tqwYQMWLFiAxYsXY/v27RgyZAhyc3NRXl7ucx+DwYCSkhLnv8LCwg5sMRERRYuIH1jcsmULLrvsMmRkZEAQBHz00UducUmSsGjRIqSnp0Or1WLChAkoKCgIT2OJiIiIiIg62DPPPINbb70VM2fOxMCBA7FmzRrodDq89tprPvcRBAFpaWnOf6mpqR3YYiIiihYRP7BoMpkwZMgQPP/8817jTz75JJ599lmsWbMGP/74I/R6PXJzc9t0Gz+Fn0wlQ787+0Guloe7KURERJ2S47tUpor4yzsiCiKLxYJt27ZhwoQJznUymQwTJkzA1q1bfe7X0NCA7Oxs9OjRA5dffjn27t3bEc0l6hT4+ylR4CK+xuKkSZMwadIkrzFJkrBq1So8/PDDuPzyywEAr7/+OlJTU/HRRx/huuuua9Oxjh075jEl2t+UgI6MdcSxXJd9vQ5lu3SX63C06GjE/MwZY4wxxhhjrLPFdJfrcLz0uM9tA8l3OvsGuq61Y3f2a6uSkhKfMaJQqayshN1u97jjMDU1Fb/99pvXffr164fXXnsNgwcPRl1dHf7xj3/g3HPPxd69e30+IbS5uRnNzc3OZaPRGLxOEEUYuVqOAfMGQKGO+CETorDr1H/SPnLkCEpLS93+OhcXF4dRo0b5/etcc3MzjEaj2z8iIiIiIqKuYPTo0bjxxhsxdOhQnH/++fjggw+QnJyMl156yec+y5cvR1xcnPNfjx49OrDFREQUqTr18HtpaSkAeP3rnCPmzfLly7FkyRK3dbNnz0ZWVpbXJ/wBQE5Ojs98HRnriGO5LkdKvxljjDHGGGOMsbbFgrmPv31bu24I5zVNR7fD3/UnUagkJSVBLpejrKzMbX1ZWRnS0tICyqFUKjFs2DAcPHjQ5zYLFy7EggULnMtGo5GDi0RE1LnvWDxdCxcuRF1dnfNfUVFRuJtERERERETUZiqVCsOHD8fXX3/tXCeKIr7++muMHj06oBx2ux27d+9Genq6z23UajUMBoPbPyIiok59x6LjL3BlZWVuX4JlZWUYOnSoz/3UajXUanWom0dERERERBRyCxYswIwZM3DOOedg5MiRWLVqFUwmE2bOnAkAuPHGG5GZmYnly5cDAJYuXYo//elPyMnJQW1tLZ566ikUFhbilltuCWc3iIioE+rUA4u9evVCWloavv76a+dAotFoxI8//og77rgjvI0jIiIiIiLqANdeey0qKiqwaNEilJaWYujQodi4caOzZNSxY8cgk52crFZTU4Nbb70VpaWlSEhIwPDhw/H9999j4MCB4eoCERF1UhE/sNjQ0OBW6+PIkSPYuXMnEhMTkZWVhbvvvhvLli1D37590atXLzzyyCPIyMjAFVdcEb5GExERERERdaC5c+di7ty5XmObN292W165ciVWrlzZAa0iIqJoF/EDi7/88gsuuOAC57KjYPCMGTOwbt063H///TCZTLjttttQW1uL8847Dxs3boRGo2nzsY4dOwaLxeK2rrCw0Of2HRnriGO5Lvt6HY52McYYY4wxxhhjpxcL5j7+9g10XWvH7uzXViUlJT5jRERERNEo4gcWx48fD0mSfMYFQcDSpUuxdOnSDmwVERERERERERFR1xbxA4sdKSsrC1lZWV5jOTk5PvfryFhHHMt1OVL6zRhjjDHGGGOMtS0WzH387dvadUM4r2k6uh2lpaU+tyeKVocOHUJsbKzbuvbcFe1PZ8sbytzM27nydrV8ocjJfMHLV19fH9TcstY3IQo90SLi6LtHYbfYw90UIiKiTsnxXSpaxHA3hYiIqFMTrSIq/1PJ71SiAPCORYoI9mY7dv6/nRg7d2y4m0JERNQpOb5LMydlQqbi346JqGP06dMHBoPBa6w9d0j709nyhjI384Ymr7Xeil+f+RVXLL4CaoM6aHmD3c5IzxeKnMzX/nxGozGoOXnVSURERERERERERG3GgUUiIiIiIiIiIiJqM06FdnHs2DFYLBa3df4KZnZkrCOO5brs63Wojm03tdRWPHzoMIqri0N+PMYYY4wxxhiLtpjju7SoqAhyvdzn9q3la423fQNd19qxO/u1VUlJic8YERERUTTiHYtERERERERERETUZrxj0UVWVhaysrK8xvwVzOzIWEccy3W5o/pmrbdiF3ahd5/eUMYqQ348xhhjjDHGGIu2mOO7tEePHj6/S1vL1xpv+7Z23RDOa5qObkdpaanP7YmIiIiiEe9YJCIiIiIiIiIiojbjwCIRERERERERERG1GQcWiYiIiIiIiIiIqM04sEhERERERERERERtxoe3uDh27BgsFovbusLCQp/bd2SsI47luuzrdaiObW+0I3Z4LI4cPYI/Kv4I+fEYY4wxxhhjLNpiju/Soj+KINfKfW7fWr7WeNs30HWtHbuzX1uVlJT4jBERUechyAWknJcCQS6EuylEEY8DixQR5Fo5clbkQKHjW5KIiOh0OL5LiYiIqH0UOgXOXXsuVHpVuJtCFPE4iuMiKysLWVlZXmM5Ob4v1Dsy1hHHcl2OlH4zxhhjjDHGGGNtiwVzH3/7tnbdEM5rmo5uR2lpqc/tiYiIiKIRaywSERERERERERFRm3FgkYiIiIiIiIiIiNqMA4tERERERERERETUZhxYPEGlYlFWIiIiIiIiIiKiQPHhLSfIZDIcO3YMFovFbX1hYaHPfToy1hHHcl329Toc7WKMMcYYY4wxxk4vFsx9/O0b6LrWjt3Zr61KSkp8xoiIiIiiEe9YJCIiIiIiIiIiojbjHYsnNDU1ISsrC1lZWV7jOTk5PvftyFhHHMt1OVL6zRhjjDHGGGOMtS0WzH387dvadUM4r2k6uh2lpaU+tyciIiKKRrxjkYiIiIiIiIiIiNqMA4sUESS7BGOBEaJdDHdTiIiIOiXHd6lkl8LdFCIiok6Nv58SBY5ToSki2Mw2/PfS/2JQ3aBwN4WIiKhTcnyXTt4+GcpYZbibQ0RdxKFDhxAbG+u2rj0PiPKns+UNZW7mDW3eIweOYNflu6Ddrg3Kd2qw2xnp+UKRk/mCl6++vj6ouXnHIhEREREREREREbUZ71gkIiIiIiKi09KnTx8YDAavsfY8LMqfzpY3lLmZNzR5rfVW7MIu9O7TG2qDOmh5g93OSM8XipzM1/58RqMxqDk5sOji2LFjsFgsbuv83X7akbGOOJbrsq/XoTq23WQHABw+dBjF1cUhPx5jjDHGGGOMRVvM8V1aVFQEuV7uc/vW8rXG276Brmvt2J392qqkpMRnjIiIiCgacSo0ERERERERERERtRnvWHSRlZWFrKwsrzF/t592ZKwjjuW63FF9c73V3Fdx3Eg5B4wxxhhjjDEWiTHHd2mPHj38Fppvz5Qab/u2dt0Qzmuajm5HaWmpz+2JiIiIohHvWCQiIiIiIiIiIqI248AiERERERERERERtRkHFomIiIiIiIiIiKjNOLBIREREREQUwZ5//nn07NkTGo0Go0aNwk8//eRz21deeQVjx45FQkICEhISMGHCBI/tb7rpJgiC4PZv4sSJoe4GERFFIT68xcWxY8dgsVjc1hUWFvrcviNjHXEs12Vfr0N1bLvJDplOhsOHDqO4ujjkx2OMMcYYY4yxaIs5vkuLioog18t9bt9avtZ42zfQda0du7NfW5WUlPiMEZ2uDRs2YMGCBVizZg1GjRqFVatWITc3FwcOHEBKSorH9ps3b8a0adNw7rnnQqPRYMWKFbjkkkuwd+9eZGZmOrebOHEi1q5d61xWq9Ud0h+izkKh53AJUSB4xyJFBLlejiGfDPH7FEsiIiLyzfFd2tqgIhF1Ls888wxuvfVWzJw5EwMHDsSaNWug0+nw2muved3+zTffxN/+9jcMHToU/fv3x7/+9S+Iooivv/7abTu1Wo20tDTnv4SEhI7oDlGnoIxV4s87/wy1gQPuRK3hELyLrKwsZGVleY3l5OT43K8jYx1xLNflSOk3Y4wxxhhjjDHWtlgw9/G3b2vXDeG8punodpSWlvrcnuh0WCwWbNu2DQsXLnSuk8lkmDBhArZu3RpQDrPZDKvVisTERLf1mzdvRkpKChISEnDhhRdi2bJl6NatW1DbT0RE0S/i7ljs2bOnR70PQRAwZ84cr9uvW7fOY1uNRtPBrSYiIiIiIgquyspK2O12pKamuq1PTU0NeCD7gQceQEZGBiZMmOBcN3HiRLz++uv4+uuvsWLFCnzzzTeYNGkS7Ha7zzzNzc0wGo1u/4iIiCLujsWff/7Z7Qttz549uPjiizF16lSf+xgMBhw4cMC5LAhCSNtIREREREQU6Z544gm888472Lx5s9vNF9ddd53z9VlnnYXBgwejT58+2Lx5My666CKvuZYvX44lS5aEvM1ERNS5RNwdi8nJyW61Pj799FP06dMH559/vs99BEFw2+fUv+gRERERERF1NklJSZDL5SgrK3NbX1ZWhrS0NL/7/uMf/8ATTzyBL7/8EoMHD/a7be/evZGUlISDBw/63GbhwoWoq6tz/isqKgq8I0REFLUibmDRlcViwfr163HzzTf7vQuxoaEB2dnZ6NGjBy6//HLs3bu3A1tJREREREQUfCqVCsOHD3d78IrjQSyjR4/2ud+TTz6Jxx57DBs3bsQ555zT6nGOHz+OqqoqpKen+9xGrVbDYDC4/SMiIoq4qdCuPvroI9TW1uKmm27yuU2/fv3w2muvYfDgwairq8M//vEPnHvuudi7dy+6d+/udZ/m5mY0Nzc7lx31QY4dOwaLxeK2bWFhoc9jd2SsI47luuzrdTjaxRhjjDHGGGOMnV4smPv42zfQda0du7NfW5WUlPiMEZ2uBQsWYMaMGTjnnHMwcuRIrFq1CiaTCTNnzgQA3HjjjcjMzMTy5csBACtWrMCiRYvw1ltvoWfPns5ajDExMYiJiUFDQwOWLFmCq666CmlpaTh06BDuv/9+5OTkIDc3N2z9JCKizimiBxZfffVVTJo0CRkZGT63GT16tNtf684991wMGDAAL730Eh577DGv+3irDzJ79uzgNJqIiIiIiChIrr32WlRUVGDRokUoLS3F0KFDsXHjRmf5p2PHjkEmOzkR7cUXX4TFYsHVV1/tlmfx4sV49NFHIZfLsWvXLuTl5aG2thYZGRm45JJL8Nhjj0GtVre5fYcOHUJsbKzbuvb88cKfzpY3lLmZt3Pl7Wr5QpGT+YKXr76+Pqi5I3ZgsbCwEPn5+fjggw/atJ9SqcSwYcNarQ+yYMEC57LRaMSyZcuQlZWFrKwsr/vk5OT4zNeRsY44lutypPSbMcYYY4wxxhhrWyyY+/jbt7XrhnBe03R0OwJ9Si9RW82dOxdz5871Gtu8ebPb8tGjR/3m0mq1+OKLL4LUMiIi6uoidmBx7dq1SElJweTJk9u0n91ux+7du3HppZf63EatVp/WX+OIiIiIiIjopD59+vist9ieP2T409nyhjI383auvF0tXyhyMl/78znKAQZLRD68RRRFrF27FjNmzIBC4T72eeONN2LhwoXO5aVLl+LLL7/E4cOHsX37dkyfPh2FhYW45ZZbOrrZREREREREREREXUZEDizm5+fj2LFjuPnmmz1ix44dcyuMXVNTg1tvvRUDBgzApZdeCqPRiO+//x4DBw7syCZTO1nrrfh06KdoNja3vjERERF5cHyXWuut4W4KERFRp8bfT4kCF5FToS+55BJIkuQ1dmoNkZUrV2LlypUd0CoKNZvJFu4mEBERdWr8LiUiIgoOfqcSBSYiBxbD5dixY7BYLG7r/D2JpyNjHXEs12Vfr0N1bLvJDgA4fOgwiquLQ348xhhjjDHGGIu2mOO7tKioCHK93Of2reVrjbd9A13X2rE7+7WV66waIiIioq4gIqdCExERERERERERUWTjHYsusrKykJWV5TXm70k8HRnriGO5LndU36z1VuzCLvTu0xvKWGXIj8cYY4wxxhhj0RZzfJf26NHD53dpa/la423f1q4bwnlN09HtKC0t9bk9ERERUTTiHYsnyGT8URAREREREREREQWKo2knqFSqcDeBiIiIiIiIiIio0+DAIhEREREREREREbUZBxZPOPVp0EREREREREREROQbH95ygiiKOHbsmMcAY2Fhoc99OjLWEcdyXfb1OlTHtpvsAIDDhw6juLo45MdjjDHGGGOMsWiLOb5Li4qKINfLfW7fWr7WeNs30HWtHbuzX1uVlJT4jBFFq0OHDiE2NtZtXXs+Y/zpbHlDmZt5Q5u3qKgIQMvvp/4eiBaoYLcz0vOFIifzBS9ffX19UHPzjkUiIiIiIiIiIiJqM96x6CIrKwtZWVleYzk5OT7368hYRxzLdbmj+ibZJST9Jwn9BveD8oj3vwhFyjlgjDHGGGOMsUiMOb5LY3vHQpALp5WvNd72be26IZzXNB3djtLSUp/bE0WrPn36wGAweI215/PGn86WN5S5mTc0eV1/P5XJg3c/VrDbGen5QpGT+dqfz2g0BjUnBxYpIghyAYa+hqB+aBMREXUlju9SIiIiah/+fkoUOP5fQkRERERERERERG3GOxZd8OEt4Xt4C2OMMcYYY4wxFvxYMPfxty8f3tKCD28hIiKiroZ3LBIREREREREREVGb8Y5FF3x4i+dypPSbMcYYY4wxxhhrWyyY+/jblw9vOYkPbyEiIqKuhncsEhERERERERERUZvxjkUXrLHIGouMMcYYY4wxFk2xYO7jb1/WWGzBGovUFR06dAixsbFu69rzGeNPZ8sbytzM27nydrV8ocjJfMHLV19fH9TcvGORiIiIiIiIiIiI2ox3LBIREREREdFp6dOnDwwGg9dYe2q6+tPZ8oYyN/N2rrxdLV8ocjJf+/MZjcag5uQdi0RERERERERERNRmHFikiGBvtOPgAwdhM9vC3RQiIqJOyfFdam+0h7spREREnZrNbMP3M7+HxWRpfWOiLo4DixQZRKB+Wz0kuxTulhAREXVOJ75LIYa7IURERJ2bZJdQ/l05fz8lCgBrLBIREREREdFp4VOhw5ObeUObt6ioCABw+NBhKGOV7c7XmZ4YHKk5mS94+YL9VGgOLLooKSlBc3Oz27o//vjD5/YdGeuIY7ku+3rtUF1dDYvFgoqKClRXV8NgMEAmk6G2thbx8fGw2WzYv38/EhMTYbPZYDQakZiYCIvFgsrKSjQ3N8NiscBsNiM+Ph7mOjMa0ICioiIcLT0Ki8UCg8EAs9kMm80Gg8EAk8mE48ePIyYmBiaTCQCg1+vR0NAAk8mE2tpaGI1GKBQK6HQ6GI1GqFQqAMD+/fuhUqmg0WhQW1sLnU4HlUqFyspK1NfXQ6VSOfuhUChQXV0Nm82GkpISZ59EUXTrx4EDB5yvTSYTEhISYLFYUF1djcbGRjQ1NTn74XgNAAUFBc4+mc1miKKImJgYNDQ0oLi42NknmUzm7Idr/xz9cO3f3r17nX2qqamBXq+HSqVCRUUFzGazs0+u50kURRQVFTn7dOp5+v333519cpynpqYm1NTUwGw2u/XPcZ4c/XP0yfU8GY1GlJWVOfvkep7MZjNqamrc+uc4TwCwZ88eZ59cz5Ojf67vPcd5Alo+PF375HqeCgoKnH1yPU+O/rm+9xznCQB+//13t/ee4zzV1taioqLC7b3nOE9NTU2oqqpye+85zhMA7N692+295zhPFRUVaGpqcnvvOc4TABw5csStT67n6ciRI27vPUc/amtrYTKZ3N57jvMEAAcOHHB77znOU01NDaqrq93ee47z5PgscH3vOfrh2r9Tz1NFRQUsFovHe8/RniNHjrj1ybUfhYWFHp8RZrMZRqMR9fX1Hp8RMpnM+Vlw6meERqNx69+p5+nUzzrX8ySKIvbu3evxGWGz2Zz9O/W9ZzabAbT8InbqZ4Tjs+7YsWMenxEmkwkNDQ2oq6vz+IxQKBQen3Wu/auurkZdXZ3HZ0SwP8tdP+tc+8fP8o75LI/XxsMGG/bs24OkjCSv773WPiO89cn1PPm6Lgh0nb/1HR0LxbHKy8t9xoiIiIiikkRSXV2dNHv2bOndd9+V8vPz3f7l5eVJeXl5Hus7OtYRx3Jd9vb6lVdekWbOnCm98sorEgBpyZIlUl5engRAWrx4sbRy5UoJgLRy5UrpueeekwBIeXl50rx585yvZ86cKclkMikvL0+66qqrJIVCIeXl5UmXXHSJpIJK+uLjL6QxY8ZIMTExUl5enjRs2DApISFBysvLkwYPHiylpaVJeXl5UnZ2tpSdnS3l5eVJaWlp0uDBg6W8vDwpISFBGjZsmJSXlyfFxMRIY8aMkfLz8yW1Wi3l5uZKeXl5kkKhkK666iopLy9Pkslk0syZM539mDdvnvP1c88959anxYsXO/uxZMkStz4JguDsk1KplPLy8qTc3FxJrVZLeXl5zj7l5+e79alfv37OPuXk5Lj1qV+/fs4+jR492q1PeXl5zj7l5+e79UkQBJ99cj1Pb7/9tlufXM/T/Pnz3frkOE+5ubmSVqt165PrecrPz3frk+t56t69u1ufXM/TxRdf7NYn1/OUn58fcJ9cz1N+fr7He8/Rp5kzZ7r1yfU8GQwGj/eeo0/5+fke7z1Hn5KSkjzee44+Oc6Nt/OUn58fcJ9cz1N+fr7He8/Rp6uuusrjvefoU1JSksd7z9Gn/Px8j/eeo08Gg8Hjvefok+PceDtPjv4F0ifX85Sfn+/x3nP06eKLL/b6GdGvXz+pe/fuXj8j+vXrJ+Xn53v9jMjLy5O0Wq3XzwhBEKT58+f7fO+9/fbbAffJ9Tzl5+d7/YzIy8uTRo8e7fUzIjs7W8rJyfH6GTFs2DApPz/f62dEXl6epFQqfX5GBPOz3NGn/Px8fpaH4bN87Zq10gzM8Pvea+0zwtd7z9En1+sCxz9f1xve1kX7tZXj/5m6urpwX94ShVxdXZ3P93tBQYFUUFAQ9GN2tryhzM28oc27b/s+6Sk8JTXVNQUlX7DbGen5QpGT+YKXz9/n9+kQJEnq8kUDjEYj7r//fkyfPh1paWluMcftotnZ2R77dWSsI47luuztdWVlJa6//nq89dZbkCQJgwcPRklJCSoqKpCQkACZTIaqqip069YNPXr0wM6dO5GcnAyLxYK6ujrna9c7JBoaGpCYmAhTlQnbr92Oa7dfi4PHD6K5uRkJCQkwmUywWq2Ij49HYmIijh49CoPBgIaGBgBATEwMjEYjevbsierqatTW1kKpVEKv16OmpgZqtRoDBgzAzp07odVqnXfuxMTEeNwtUlFRgbi4OOfroUOHoqioyNknURRRU1OD5ORkpKenY9euXc4+GY1GJCW13B0SHx/vvKOvsbERCQkJMJvNaG5uxtChQ7Fv3z5nn0wmE+x2OwwGAxISElBUVOTsk1wuh16vR21tLXr37o3q6mpnnxx3kGm1WvTr1w87duxw9qmyshIGgwEqlQoqlQoNDQ3OPrmep7PPPhtHjhxx9sn1PKWmpmLv3r3OPjnOU1NTE7p16+a84+3U8zRkyBDs27fP2SfX8xQXF+e8i+fU85STk4Oqqipnn1zPU9++fbFt2zZnn1zPk0qlct6xeOp5Ouecc1BQUOD23nOcp9TUVOddWKeep+TkZJhMJrf3nuM8nXXWWdi7d6/be89xnmJjY1FaWur23nOcpzPOOMN5R9ip56lv37745Zdf3N57jvOk0Wicdyyeep4c/XN97znOU3JysvOO01PPU1pamvOOvlPP06BBg7B79263957jPOn1eucdmaeepwEDBqCsrMztvec4T47+nfoZIYoidDqd846+U8/T8OHDUVBQ4Pbec5ynbt264eDBgx6fESaTCRkZGc47+k49TwMHDsSvv/7q8Rmh0+mg1+tRVVXl8RlRWVmJQYMGoayszOMzIiEhAb169cL27ds9PiMsFgtiYmKc/Tv1PA0bNgwHDhzw+IxISEhAYmIiDh8+7PEZ0dDQgB49ejjv7j31PA0cOBA7d+70+IzQaDTOu2pP/YyoqKgI6me54zwNHToU+/fv52d5B3+WJ+oSsf3y7ejxag+kZad5fe+19hnhrU8NDQ2or6/HwoUL8eGHH6Kurs7teuLU64ZIuKYJJBaKY+3YsQPXXHMN6urqnHdtE0Uro9GIuLg4r+/3gwcPAgBycnKCeszOljeUuZk3tHn379iPz87+DHfW3Qm1Qd3ufMFuZ6TnC0VO5gtePn+f36eDU6EpYElJSfjyyy+dy46pW8nJyc51jtcKhcL5WqVSub1OTU1FYWEhVCoVEhMTAQAajQYxiAEA6HQ65xRYx7QrAIiNjXW+6WNiYpzrDQYDYmNjUV1djfj4eOf6hIQEr68dxwSA1NRUNDU1ee2HQqGATCZzrnd9fWqfkpKS3NYXFhZCo9FAo9H47ZPra4PB4OyX6//c8fHxzv4F0idHWwAgPT3d+QvQqf2TyWQ+z5NGo3Hrk+t5SkpKgslkCqhPrucpPj7e+cvoqecpJiYGVVVVAfXJtR/e+hfIedJoNG59cj1Pjv4F0ifX85SYmOisVXHqeXL8nALpk7f+Bfrec+TX6XTONpx6nhztDKRPrufJ8XM5tX+JiYnOn18gfXI9T47+BdIn1/MUExPjbMOp58nxPgukT679cO3fqefJcVxf/fD13nPtX2t9cj1PsbGxznaeep4MBgNqamoC6pPr6+TkZOcU7FPPU7A/y1v73ONneeg+y+0mOxRQIDnp9D8jvPUpJiYGgiAgMTERcrkcREREREQOHFh0wRqL/mssWiwWbNy4ERMnTnT+IhqsY4uNLfXrioqKUFpbGpScjDHGGGOMMdaVYo7v0uKSYsi0Mp/bt5bPl3vuuQfV1dWsscgai0REREROHFikgJnNZnz88ccYN26cc2CRiIiIop/RaMSiRYvwyiuvhLspRBRhPv74Y2dZCqvVCrvdjpqaGlitVqSmpkKtVsNqtUIURajVaudDsFQqFZqbmyGTyaBUKt1eNzU1QS6XO18rFAooFAocOXIESqUSe/fuRWNjI1QqFeRyOcxmM9RqtfO1RqOBIAhobGyEVquFJEloamqCTqeD3W5Hc3Oz87XFYkFtbS3sdjt++eUXaLVa2Gw22Gw2tz45Xjv6EWifysrKoFQqsW3bNq99cu1HW/pUXFyM5uZm9O7d22uftFqt2+tA+1RcXAyVSoUdO3ac9nny1qfy8nI0NjYiOzv7tM+Ttz4dP34carUaO3fubNd5OrVPFUUVsMCCA78dgC5RB5PJBLVaDYVCgYaGBmg0GigUCtTX10On00EulztnBQmCgIaGBsTExECSJJhMJlRXV8Nut6O+vh6xsbGw2WxoampCTEwMbDYbmpubodfrYbVaYbVanSWDbDYbdDodmpubIYoitFotmpubUVhYCLVa7bwxSq1Wo6mpCYIgQK1Wo7GxETKZDGq12vkAOEcZKaVSCaVS6dan/fv3Q61umfIdaJ9iY2Nht9thNpu99ungwYPQarUB90mSJGg0Gp99cjxkEkBAfWrtPB07dgxmsxmSJAXcJ3/nyfHgRsf7OZA++TtPJSUlUCgU7X7vOfp04MAB6PV62Gw2VFZWBvV7gAOLLtLT0z1qLDp4q6MTjlhHHMt12fV1ZmYmNm7cGJK22E12VKISPXr0gFzvfZpVpJwDxhhjjDHGGIvEmOO7NCM9w+d3aWv5fImPj0f//v2ddSJ95fOWO5zXNB3djlN/NkRdwY033hjuJhAFnRpqpCIVzR8144abb8DVV1+Nhx56CGPHjsXEiROxevVqDBs2DGPHjsV7772Hvn374uyzz8aWLVsQExODs88+G9u3b0dDQwPGjRuH/Px8FBUV4corr8TOnTuxe/du3Hnnnfjuu++wdetWPP744/j888+Rn5+P1157De+99x4++ugjfP7551i7di3efPNN7NixA6tXr8ZLL72EgwcP4p577sHTTz8NAHjooYewdOlSpKWlYd68ebj//vsxbNgw3HzzzZgzZw4mTZqEa665BjNmzMDNN9+MSZMmufXp5ptvxqJFi9C7d++A+1RQUIDDhw9j6tSpXvu0ZMkSvPrqqwH3qbS0FI8//rjPPj355JMYOHAg7rnnnoD61Np5MpvNuPzyy9vUJ3/n6dFHH8Unn3yCo0ePBtwnf+fpsssuw/nnn9/u956jT9OmTcMnn3yC3bt3Y+7cuUH9/4UDixSwpqYmrF27FjNnznTWmyIiIqLop9fr8dhjjznrRBIROXz9GqBWAVoNYLUCNjtQWdPyOj0V0KoBixUQRUCjBppbbhqDWgU0NQMyGaBSAo3NgNzxuglQyAGl47UCUCqA348CKgXQsztgamzJoZADDeaW48hPvNZpAEFo2UavBSQJMDcBMTrAbm85Voyupa3NFqC6tmV9SjdApwWsNsBmc++TVtPSD7vYtj6VlLX0IynBe5/MjYDqRD/a0qdjxS3H6tfbe5/02pbXFkvb+nSsuKUNKd1O/zx561NJecv6nOzTP0/e+nT0eMs5SEtq33k6tU/f/gBY/jkb4yeMR05ODnbs2OG8U6ygoABarRYKhcL5cEq5XO6s8y0IAurq6hAbGwtJklBXV4fy8nJ0794dxcXFMBgM6NmzJyZOnIjY2Fj07NkTU6dORUxMDG6//XbcfPPN0Ov1uPfee3HXXXdBr9dj8eLFsNvt0Ol0eOqpp1BQUACNRoMXXngBQEud67y8POfdb++//z7kcjnUajU2btwIpVIJlUqF7777DiqVCkql0q1PX331FTQaDXJycgLuk8FgQK9evXz26eyzz4Zer8e4ceMC6pPj7kVffXruuecgk8mQk5MTUJ9aO0+HDh3C9u3bMXTo0ID75O88lZSUYO7cuejVq1fAffJ3no4dO9bmPvk7T9999x1iY2Nx/vnn49xzz0X37t2D9j3AgUUXrLHov8ai0WjEp59+ivHjxzsL0gfr2JJNQuzMWBwvO46S8pKg5GSMMcYYY4yxrhRzfJeWVJZAqBV8bt9aPm+MRiMWLlyItWvXOh8E1Fo+1lgkinzPP/88nnrqKZSWlmLIkCFYvXo1Ro4c2aYc55wFGGLc1x1sed4Uctp+g7RfjuMEO2+o2hvK3HGxocmblBCavKH6OXSLD03eklIbluNjXKK/BID7A+diY2Odr10f1ObttSAIMBgMKC8vh1wud65XKBTOPAqFwpnfMaUXaJmy7ShB5pim7HjtuNHH9YYfrVbrfO14MBsQ2IM2fT340F+fAPjtk+NYgfbJwVefXF8H0qfWzpMgCIiNjYUgCAH3KZDz5PjZB9Inf+fJkb+97z1Hn1z74ZonGDiw6IJToT2XT50K/dlnn4WuLdktMZnSe8H5SDkHjDHGGGOMMRaxsQB+sTqdqdAJCQkYPXo0cnJyUFVV5TMfp0Lzbk7qPDZs2IAFCxZgzZo1GDVqFFatWoXc3FwcOHAAKSkp4W4eUVgJCjt+wk8+fzclopP4fwkFzGw2Y8WKFV7vVCAiIqLopdPp8MADD7j91ZyIOrdnnnkGt956K2bOnImBAwdizZo10Ol0eO2118LdNCIi6kR4x6ILToVufSr01q1bMWXKFBgMBogWEcXFxRCUAqRmCZDB+Vq0iigpL2lZLwcEhQCxSYSgbJmaVXSwCIJKgCAXIDaKENQCqqqr8Puu31FRVwEIAJoBqAFIACxAQVYBykvLAQsADQA7AFvLNr//9jsqiitatref+HfiwdUFBQU+pyYxFtpYTEwMkpKSnMuR8v8TY4wxxlhXiQVrH6PRiHvvvRfr16/nVGhOhaYoYLFYsG3bNixcuNC5TiaTYcKECdi6dWsYW0ZERJ0NBxYpYAaDAc8//zwAQBIlHF99HI2qRsRcGQPjK0Yoc5TQTdSh7tk6aC7RAEOAmhU10E3UQTNSg5olNYi5PgbIAqoXViNubhyUOUpU3V0F3AksXPUgHrcuxzN4Bk1owjIsw8N4GBpo8DAexh24A6lIxVzMxSN4BNnIxnRMx9/xd5yBM3AZLsPTeBqDMRjjMA7P4bkw/8RIqVTgiSdWuA0uEhFR56NSqTB+/HhotVrOXCCKApWVlbDb7UhNTXVbn5qait9++83rPs3NzW43YRiNRqigwttvq6DXCRCbVJCpLIAMKCtRQlBbkJIgwNakhEJjgaCyQRJEKHUWQAKsjaqW1yJga255LdoBu0UJmUyEvUEPu1UBudoK2AWIdgUqG6wQ7DJ0i5NBUNogiDJIAqCIr4MgygAIkGR2CHYZJEiAXIJgl0OCCMglSFYFxHodRJkEwa4EZDZAJqGiXAkorEhOBCSLCoLCAkEOQNXc0nYZYDOrID/x2mpWQaGzQHDph61OD6tZDaXWAkkUYLMoodRYUVYFiFYF0tJsgCjAblVAlVAHmVyE3SaHTG0DbAIkUQ5BaYNkEwBJBijsEEQZbCYtRLsMgiiHAAmiTIRgl6OiVoIkE5FqUAKCDaJMglxhh1xvBmSAZFFCUFgBOSA1qyAoT/SjUQW52gLJqoSlOhYylQWC7OR5qqgVYG9SIi3NAqBlvTLGDIW+yeM8KTRWSPaW/sk1NsAuwNqkhGRRQxBlLe0+cZ7Kq2WQZDakGGSAcOI8iXIo4uo8zpNgV0CQ2SEKEgSbApDbABlgKU+ETGmFJJw8T5XGlv6lpLS89+yNSshUFijiTC1tPOU8eXvvCTY5RIsCNqsCCk3LedqxT4FYWLHvf/tgLjJDoVFAsktQaBRQJioh2SRABKAEBHvLzTOSXILsxHtPkkuw1dhga7RBkksoPVYKSS6h/GA5JIsEQXHiJpsmETKVDAq9AjKlDHK1HDKFDJZ6C5R6JQSZAIvRAmVMy+vmumbI1XIU7iuE1WRF1eEqQAKaG5qhNqgh2SRYGi1Qx6ohWkXYbXYYehog2kTYm+1Q6pWQrBJsVhsUWgUkqwTRLuKP8j8gWkSU7y8HlACsaLnZRwEINgEQWvrn+loTr4FcKYcoEwFLy81EkMPZp+PFxyE2imgwNsBSa4GlzgKFVgHIAGuDFQqtAoJcgKXeAlWMCoIgoLm+GbFZsVCoFGgyNkETr4Fkl9Dc0IzyunKIdhG1ZbVQxaog2kQ0VjRCEATADtgsNud5kmwSBLUA2FrGLqAEFGoFVLEq53k6VnQMklxCQ03Dyf5ZW86LtdGK5upmj/MkyATYm+wtr+UCbCYbVLEqaFI0OLzvMOQ6OcxmM5rrmqGOU0OAgKa6ln5ABMxVZsAOj/NkbbJCFaOCZJdga7ZBqVOiuKgYcoMcJpPJeZ5kapnP917TH01ezxOsgCATUFxWDFiB8t/LYdfag/qdwoFFF6yx6Lns+tpkMuGJJ57Agw8+CL1ej+5PdcexY8cgU8mQvjgdkAEylQxpy9PQs3dPFJUUIW1VGmRKGQSFgLSX0iBTyZCdnQ17nh0ydcv/jGkb0nDo+CFYrTbgroex3GABIAGWh7FS1QzAAlgexkfdgeKycsC6DC+qAUksAqz/wItqIC3xIEpKV+NFFSDZ9wCWAjy7fyQUQ7YhI82OkgrvfU9PBmMhihWWAE+8YoNOp0NmZmbE/D/EGGOMMdZVYsHcBwDuu+8+ZGdno7Cw0Gc+1lhkjUWKXsuXL8eSJUvc1mUiE68/k43jOI5mNKMvBqAc5ShDGc7EENSjHgdwAGfjbJhgwi7sAgBooUUjGgEAsYhFPeoBAAlIgAkmxCAOQzAE27EdcUhADnKwF3sBKDEIg3AQB1GHOpyNs3Ecx1GAOvRGTzSiESUoQQ56owENKEUp+qI36lGPUpSiP3KQgARsx3b0Qy/EIhZ7sAepSEIKUlCAAqihRjYGohCFaEIT6lGPRjQiDlo0ArDBBiUEWCGDHHJY0fKo4VE4Ez/iRwzHcOigw7f4FoMxGAlIwA/4AdnIRiYysR3bIUEPPfRoRCNqUYse6I5GNKISlchGFprQhDKUoTd6QgMN9mEfxmIszDBjG7ZhNEbDjpYagCMxEnLIsR3bkYMclKIUVahCNjJQhzrUohaZSIYRRtSjHsmIQwMaEIc4NKLR4zy55lVAge/xPQZjMI7giMd5sgBIRjLMMMMEG9KRhmY0Q+nlPP2BP1CIQvwJf0INarALu3AezsNBHPQ4T2egN2pQgwpUoA+yUYtaVKEKZ/g4T97ee3uwB01o8jhP3t57AzEQyUj2OE8JSMDaeWtPvPeAQRiEAvkhVOqNODPhHFTUFOF481EM6zYGdc3V+L1qB85JGQ+TYMb+sp8wSn4uJLvN4zz1Qz+X914qUpCCA/ICaKBB3KAzUFJzGPLjDUgachaqTaVoLChC+tnnwNxYh7L9u9EvYyQ0xc0e58nXey+hb1+kKzJx8PcfoMpIQk9tXxQe3QlLvAz9YgejuPg3VMlrMEg/DPVlxR7nydd7b1jMKFiT1fit+CecIesHeY9EHCzdiYymFGj7dMfR8j1IqFEj7sx+MO46cOI89XU5T2d6fe8NyjwX9m5q/LZrE3oOG4MYmxZ7ducj/YyzkIBEHCr4AQk5LX06tP8HxCPO5TMCPt97I5SjUW6oc54no2jE75XbMTzhPDTpJew9/j8MNfwJtm4q/F74I/qLnufp5Hsv2/ney5H3xaHetWgsKEK3QWfCJjajbP9uZA0/F5LVhoO7vkWfc86H0iLDb7s2BfQZEXeiT7uUe2FJkDvPU7Wyzud77zyMRWMrnxGO994O7Z6gfj9wYPEE16f0kHdWqxUFBQWwWq0QLSL2Pb0PMVNbai3JNCfLdcq1cshUMudr1/XO1zqX13o5BFnLSHvfnGbEOB+G5PiLqASgGdkZQIxeclkvOl9nZ4iINVic6+3NNhz5z2D0mrwDvXvZXXK6a8nJWEfEiIio86qursZf//pXfPPNN+FuChEFQVJSEuRyOcrKytzWl5WV+bzRYuHChViwYIFz2Wg0ok+PPjjn5r8hQ6uF0CxBVAJpMgGN5ZWwK4H0+CT0a7ZDVMsgKQT0kUkQtXJABGTNdogaOSBJEJpFSFoFYBchWEVIcgGKBgmX2CdDUskg2IFx9sloMFdBEGUYFTsZogIQ7EA3ARgQJ0BmFwBBgCgTW14DEOUS5HYZJEGCKJOgsACyRgkZwlWQ22Wwy0Skya5EU1U1RBlwXsJfILcColxAqhywKySImpY77GRNIuxqQBBkkDW19EkQBAhNdohaORRGEVlNV0PUyCFIEqZapkBSK2CqrsRF9nOhS06GZG/pkyVOBkEmg2ATIaoECHYBgijBrgBkIgAREBUSZHYBskYJA0QRMkmAJAE9ZdMgs8tgqq/CROEiGGKTIQotfYJMhhwdIMmEln4oAQiArBkQlULLjSDNLceUWSUo6kSIagHpEJznqbGuBpMtF0GbkgyIwFTLX2DXydFLJ3ieJ7UcgigBVgmSWgZBBIQme8uNoHYB3STJeZ50ddXoLRMRE5uEFAjoK2vpU1KMzPM82WQQZS2v5TYZRJkISSZAUy3CrgBSBTjPU0x9FeQWCeqkbkiTCRCaWvqUpLsKMpvkcZ68vffkdhlgEzHF+mdYRBVKf49DX3MuoNVCSOyFS/tboIhruSuut1qAGKOAYAeEE/2T2QEIAs6TSZDbBIgCMFouQVYvQmi2Y7AcMJeXQxIkDEq+BzJbyzkaIJMgs0qQ5DIM0MogyWWQVLKWUmKNdkhqectTMcw2QC0HZAJgtgIKOczH/kCfphsQk5kJSMCgJiugU0KwA/2b5wI6JWCXcIbtbxDTdIANONt2O6Bpafsw64n8dmCIXURtbQkEq4QEVTJE+Yk+ARgpB+R2AaIgYZgMkNkESIKEwXJA0CsgKgSMlLXc/CsJAkbIAZlFgqSUoX9lMeQWCTEZmZDVW1v6oZJjgFwAGq2AquXuxVGNNkCrgAABQxqtEJO1gFKGMeY7Ab0Kgl3CqKa/wWiqhGSXMDrurpb+2YBzam8F5DLAJqGPXQRUMsAO5Ign33t9AYhyAEoZ+usUzvNUW1mCwTIJ8YmZkAQJo+Qnzp9MwkiLDYp6yfM8yQGhWYSolKG/XAAabYBOgf7xStQXFkFUyRCXltlynnQKCJDhfPN8QK8CJGBM/RzI7DLP82T5G6BVAjYJOXY7oFbAVF6KJN01iO2e6TxPolLw+d5TVtq8nifH+cuqKYXcJkCfnIbe6ma88eD1QftOiYqBxUcffdTjr2f9+vXzeRu/L6yx6L/GIgA8/fTTMJlMLbcLGwHjH0YIKqHdx3bUJCqpAHQNPnfDH2WBxqzQTv8XSmsBeXFb9mMsWLHyEzdtlJeXQ6fTtcQi5P8nxhhjjLGuEgvWPhaLBVOmTEFtbS0qKjxvW2eNxRassUidhUqlwvDhw/H111/jiiuuAACIooivv/4ac+fO9bqPWq2GWq12W2eBBd3OPhMqrftfluvKWv4/iUvNDGq7FSHKG6r2AoCSP4uQ5g32z7fZJKDGpkSjsaVgv9UQD/SwQq6XAs7hvIVGe3KdJDcBABSp8YElUft4rTmRNLnl/zl5qiGw9qj9b6Ns1AJqQJYa7/aEX8drubedfK0/0USlWgOoAaVOC+i03rb0n9P15i+dFgpryx2zyoQTfVYD0PvO660frhTmlvyKWPcccgDQA0jw3cZT88kByOP0kANQarQnzxPg3o823NAmCfUn8wWih//zJFOaIAGQp8ZB2WgKuB2BiJqnQg8aNAglJSXOf999912b9hdFMUQtix5msxmPP/44zGYzBJWA7nd09zmoGG6STQ7zt+Mg2Xz9r0VERESBUqlUmDJlClQqVbibQkRBsmDBArzyyivIy8vD/v37cccdd8BkMmHmzJnhbhoREXUiUXHHIgAoFAqft+0HwmKxsMail2XX10ajESaTCampqYhRx6D6pWqk35QOmdpzfLqtbXEUgk9P9j/N1mfOU2JiswyF5VnISNqK7AzfhUnbkpOxtsXMLaVLkJKSwhqLjDHGGGNhiAVzn8rKSlx//fXYsmULMjPd7wphjcWTWGOROpNrr70WFRUVWLRoEUpLSzF06FBs3LjR44EuRERE/kTNwGJBQQEyMjKg0WgwevRoLF++HFlZWV639fZEM2qdwWDAunXrAACiRYQmTdPypKgIJFNb0etv68PdDCIioqhgMBhw1113IS4uDk1NTeFuDhEFydy5c31OfQ6UsbzEY6pefZWfujnt0NnyhjI384Ymr6VRQKNRgaaGUuc6Y4UNqobAp0J7E+x2Rnq+UORkvuDlszY1BjV3VAwsjho1CuvWrUO/fv1QUlKCJUuWYOzYsdizZw9iY2M9tvf2RLPZs2ezxmIrNRZNJhNWrFiBBx54AHq9HpmXZwbt2OXF5bgYF6O45L/Qx/q+wzDQun+STQ7T5guhH/9fAPaIrEEY7THWWGSMMcYY69iYZJVg+tQE/Z/1EJT+//J3OnUZhw4dirKysoDrKbLGIhERdVYyUcJZRyQUnNm+AUWiriAqBhYnTZrkfD148GCMGjUK2dnZePfddzFr1iyP7b090WzZsmUd0tZoITVLOLL0CJTTlRDUQbht0QZcgksA+xYAvgcWAyYJEOviAClCb6kkIiIKMskmwfyRGbqJulYHFtuquroa8+fPx9tvvx3UvETU+RlS0j0e3uIQioehdMa8oczNvMHN22wSoDUoobCKGHKkBMWj0mFIlqBuw8Nb/Al2/yM9XyhyMl/781mC/PCWqBhYPFV8fDzOOOMMHDx40Gvc2xPNALDGopflU2OvvvoqgJap0PYxdsi7yyFTtb/GoqnKBBNMSO0GxCX52K9Ndf9swN/+fRr7MRasGGssMsYYY4x1bMxusqMSlchIz4Bc7/vhZadTYzE5ORlLlizB4MGDUVJS4jMfayyyxiIRERF1LVHzVGhXDQ0NOHToENLT08PdlKhiNBpx0003wWg0QqaSIefmHK+DipFAtCpw/J3LIFqjcuyciIioQ6lUKowZM4ZPhSYiIiIiN1Ex6nLvvffisssuQ3Z2NoqLi7F48WLI5XJMmzatTXlYY9F/jUWz2Qy9Xo+ysjIYK404+MBBaGZrfE6FbsuxKyoqoIMOZVVAg5+Z0AHXWLQCDSaguAyQKSOzBmG0x1hjkTHGGGOsY2NiowgAKC4phkzr/w9/ba2x6DoV2mKxBJSPNRaJiIiIol9UDCweP34c06ZNQ1VVFZKTk3Heeefhhx9+QHJycribFlV0Oh0eeughAC11nOLPj0eTPDKfDCkobYj98/+FuxlERERRwWAwYPHixUhISEBZWeienkpEREREnUtUDCy+8847QcnDGouey66va2trcfvtt2PNmjWIj49H9rhsFBYWBqUtwa6xKFoUOP7mFej+14+QnWELeD/GghdjjUXGGGOMsY6NhbLGoiiK0Ol06NWrFxQK98tH1lg8iTUWqSsylpdAqdG6rauvCs0fIDpb3lDmZt7Q5LU0Cmg0KmA3teRtrC+GsUKEqkFqV95gtzPS84UiJ/MFL5+1qTGouSOzQB5FJKVSib59+0KpVMLeaMc3U7+BvTEIT3AOBUGCMqEOENr3BUBERERAVVUVpk2bxrsViYiIiMhNVNyxGCyssei/xiIA3H777aitrYVkkxB3WRxKyksgKCKvxiJgB0Z/hZJq1lhkjUXGGGOMsa4RC2WNRVEUsXLlSjQ1NXk8FdpXPtZYJOoaDCnpUGn1XmNxqZkhOWZnyxvK3Mwb3LzNJgFagxJWqwigBNrYDBiSJaj1wblhJdj9j/R8ocjJfO3PZ2k0BTUnBxZdcCq057Lr65qaGsyaNQuvvvoqEhISInsqdLMSha9ei+xZG5CdYQ14P8aCF+NUaMYYY4yxjo2Fciq0zWaDyWRCjx49IJO5D1pyKvRJnApNREREXQ2nQlPA1Go1Ro0aBbVaDXujHV9P+jpyp0LLROj7HANkYrhbQkRE1OnV1NRg7ty5qKioCHdTiIiIiCiC8I5FF5wK3fpU6OnTp6OmpgaSXULKrBSUVJRAkAdhKnR1BXZjN/Q19uBNhR66hVOhwxjjVGjGGGOMsY6NSRYJmnGaljIlKu/fzYHk8yUvLw8WiyXgac+cCk1ERJ2VJBNwOFsHUSYDEKE30xBFCN6xSAEzGo247bbbYDQaIcgFGEYYfA4qtpkS+Df+DUHp+wnObSFZlKh97RZIFmVQ8hEREUU6QSXAMMvQ6qDi6bDZbNi2bRssFkvQcxMREUUau1zAL8MSICo4ZELUGt6x6II1Fj2XXV9369YNf/7zn9GrVy8oRSX2/3U/znjlDMh1nnWc2toWs9kMAEhPBmK8135uW41FmwjNmF1ITBcjtgZhtMdYY5ExxhhjLLyxYO5TUVGBZ599FldffTVUKpXPfKyxyBqLRERE1LVwYJECptFocMcddwAAJLuEkatHwqg2hrlV3skUdiSN+ynczSAiIooKycnJyM/PR3p6us8HtxFR12QsL4FSo3VbV1/lp25OO3S2vKHMzbyhyWtpFNBoVKCpodS5zlhhg6pBalfeYLcz0vOFIifzBS+ftakxqLk5sOiCNRb911isra3FPffcg6effhrx8fEQMgUU/1EclGM7ahKVVAC6Bp+7BVz3T7IoUfOv2Ui45SUA1oisQRjtMdZYZIwxxhgLfyxY+1gsFnz//feYOnWq1we4sMZiC9ZYJCIioq6GA4sUMJ1Oh8svvxw6nQ5io4hfp/yKxGcSIdNGYN0JuR26sVsAOQvtEhERtZfJZMK6deuQm5sb7qYQUYQxpKRDpfVeyyguNTMkx+xseUOZm3mDm7fZJEBrOFmnX2voDkOyFWp9++5YdAh2/yM9XyhyMl/781kaTUHNyYFFF6yx6Ll8asx1KvTgfw9Gtbza6wNcwl1jERCBjF2nsR9jwYqxxiJjjDHGWHhjwdwnMzMTX331FbKzsz2mQrPG4kmssUhERERdTQTeakaRqrKyEpdccgkqKytbngrdN4hPhQ4ye5MK+x++B/YmVesbExERkV8WiwVvvvkmmpqawt0UIiIiIoogvGPRBWss+q+xaLFYMGPGDNTX16OxthE7JuxA0rNJkMXJIFlabg0XVAIkiwTRIqKkogRSswTIAEEptLw+8QDp44ePA3JAUAgQm0SUl7TUJPp2qxqGeCsgEwGLGlBYAJkEWNT4PdWCimoJsKoBZTMAAbCqAFUzfj8soKK85TVEGWCRQzb8//DDHhsOl56s93eqgqOMhSpWfKLMFGssMsYYY4yFLxasfWpra/HGG29g0qRJaGz0LPjNGostWGORiIiIuhoOLFLAVCoVxo8fDwCQRAndJnVDw3sNMNxiQMO/W564Ent9LOrfqEdZdhkwATC+YoQyRwndRB3qnq2DeoQayAZqVtRAN1EHzUgNapbUwDDFAADQvHUvXsN6FKIQj+FhPIfnUIYyPIVlWIhlaEITlmEZHsbD0ECDh/Ew7sN9SEUK5mIuHsEjyEYPTMd0/B1/D9ePik5QKhWIiYkJdzOIiKid4uPj8eqrryIxMfG0BjKJiIiIKDpxYNEFayx6Lru+rqiowLRp0/D2228jOTkZ3Z/qjmOFxyBTyyDeJQIAZCoZ0h9IR1Z2Fo6XHkf64nRA1rI+bXkaBIWA7Oxs2FfZIVPKICgEpL2UBplKhg0XbIBSVCKzKhOCXIDUKGGxejEEWcvrdT3XoaS0BGgCVmpWAhKAZuBF7YtIS0lDSWEJXtS+CMkuAVbgRc2LAFrOa0lJide+MxbamMFgQGpqKoDI+X+IMcYYY6yrxIK5T1NTE9auXYtFixb5zccai6yxSERERF0LBxYpYHFxcViyZAni4uIAAHK1HDJ1S5lOmepkuU6ZWga5umXOs0xzcr1cK/f5WrJLUB5WYtAVg2D4w+D1+NnZ2Yg1xPqOxfmO+bprjrGOixERUWhJdgn12+sRe3Zs0GsgNzY24j//+Q/uvffeoOYlIiKKRIIoIaWiGfUxUribQhTxOLDogjUW/ddYBICePXuioqIi6McWG0VULqxEqboUFfUVXvcpKCjwWbuIsciM2Ww2KBSKiGgLY8GJxcTEICkpySMeKZ+VjDHWlWOO79KkNUmQaf0/n+90pjOvWbMGJpMp4HqKrLFIRESdldwu4fytVfg8u2e4m0IU8TiwSAGrrq7G/PnzsXLlSiQmJgY1d1VVFQBg/oL5aEZzK1sTUbgolQo88cQKr4OLRBS9mpqa8Prrr+OBBx4Id1OIiIiIKIJwYNEFayx6Lru+Tk1NxXPPPYecnBwoFIqgtsVUZYIJJiy7C4iJ875fejJQ4v1mRsYiMPbjLmDdR8CDtwLZ6ZHbTsYCj/2wC3jiFRt0Oh0yMzOdsUj5fGSMsa4es5vsqEQlMtIzINfLA9onUDU1Ndi9ezeSk5Oh0+l85mONRdZYJCIioq6FA4sUMJlMhm7dukEm8z+9qj16ZwJxPm6Eys4AYvSMdZZY4YlnuGSnA317Rm47GQs85mvQkYiiX0JCAj744AMkJSXBZDKFuzlEREREFCE4sOiCNRb911j0NhU6WMeuqKiADjqUVQENdp+74Y8yxjpLrKau5b/l1YBOG962MBacWPmJG3HKy8s97liKlM9KxhjryjGxUQQAFJcUB73Gotlsxssvv4xHH30UtbW1AeVjjUWirsFYXgKlRuu2rr7KzwVFO3S2vKHMzbyhyWtpFNBoVMBuasnbWF8MY4UIVUP7HuIS7HZGer5Q5GS+4OWzNjUGNTcHFk9QqVScCu1l2fV1eno63n77beddi6GYCp3azf8diz5zMhZxsYQTU9pTEoHM1MhtJ2OBxwqOtrxOSUnhVGjGGIvAWCinQtfW1qKoqAhpaWnQ691vbeZU6JM4FZqIiIi6Gg4snhDK6b3RQhRFVFVVISEhgT8vIiKiLiQ+Ph7vvPMOEhMTUV9fH+7mEFEEMaSkQ6X1XkslLjXT6/r26mx5Q5mbeYObt9kkQGtQwmoVAZRAG5sBQ7IEtb59dyw6BLv/kZ4vFDmZr/35LI3BLWvDgUUXnArNqdCMBS/GqdDRF+NUaMYYi+xYqKdCr1q1Ck8++SSnQnMqNBEREZETBxZPaGpqCncTIl5iYiLy8vLC3QwiIiLqYKIooq6uDna7n7/+EREREVGXw4FFF6yx6Lns+tpiseDnn3/GiBEjoFKpWGORMb8x1liMvhhrLDLGWGTHQlljEQDWr1+P7OxsFBYW+szHGoussUhERERdCwvlUcDq6uqwePFi1NXVBT+5AJSiFIIsOLUriIiIuhwZoMnWhOTqrqGhAbfffjuMRmPwkxMREUUaAaiLVUAShHC3hCji8Y5FF6yx6L/GIgDk5eXBYrE41wWtxqKxAk/jaeQYgXqrz90iqt4cY/5jrLEYfTHWWGSMsciPGZYaUFpd6nPbQPJ5YzKZYLVaUVRU5PUPjKyx2II1FomIooNNIcMXF6VCq5QDEMPdHKKIxjsWKWAWiwWbN2+GxWIJd1OIiIioA+n1eixduhQxMTHhbgpRlyJJEhYtWoT09HRotVpMmDABBQUFfvdZvnw5RowYgdjYWKSkpOCKK67AgQMH3LYZP348BEFw+3f77beHsitERBSleMeiC9ZY9Fx2fV1ZWYm8vDzk5uYiKSkpqG0xm80AgPRkIEbvY78IqzfHmP8YayxGX4w1FhljrHPFgrmP0WjEvHnz8OGHH/rNxxqLrLFIwfXkk0/i2WefRV5eHnr16oVHHnkEubm52LdvHzQajdd9vvnmG8yZMwcjRoyAzWbDQw89hEsuuQT79u2DXn/yQvvWW2/F0qVLncunzkYgIiIKBAcWKWBJSUn48ssvw90MIiIi6mByuRyJiYmQy30/FIaIgkuSJKxatQoPP/wwLr/8cgDA66+/jtTUVHz00Ue47rrrvO63ceNGt+V169YhJSUF27Ztw7hx45zrdTqdz5sqiIiIAsWBRRessei/xqLFYsHGjRsxceJEqFSqoB7bUZOopALQNfjcLaLqzTHmP8Yai9EXY41FxhjrfLFg7nPPPfeguro64HqKrLFI1D5HjhxBaWkpJkyY4FwXFxeHUaNGYevWrT4HFk/lqIuamJjotv7NN9/E+vXrkZaWhssuuwyPPPII71okIqI2Y41FCpjZbMbHH3/snLZMREREXYPRaMTdd9+N2tracDeFqMsoLW15EFNqaqrb+tTUVGesNaIo4u6778aYMWNw5plnOtdff/31WL9+PTZt2oSFCxfijTfewPTp0/3mam5uhtFodPtHRETEOxZdsMai57Lr68zMTLepFayxyJi/GGssRl+MNRYZY6xzxYK5T3x8PPr374/evXt71BFkjcWTWGOR2uPNN9/E7NmzncufffZZu3POmTMHe/bswXfffee2/rbbbnO+Puuss5Ceno6LLroIhw4dQp8+fbzmWr58OZYsWdLuNhERUXThwCIFrKmpCWvXrsXMmTN9FosmIiKi6KPX6/HYY48hNjaWg2dEITJlyhSMGjXKuewo0VRWVob09HTn+rKyMgwdOrTVfHPnzsWnn36KLVu2oHv37n63dRz34MGDPgcWFy5ciAULFjiXjUYjevToAWN5CZQardu29VV+aqu0Q2fLG8rczBuavJZGAY1GBZoaTt4VbKywQdUgtStvsNsZ6flCkZP5gpfP2tQY1NwcWHTBGov+aywajUZ8+umnGD9+PAwGQ1CPzRqL0RdjjcXoi7HGImOMdb5YsPYxGo1YuHAh1q5d67UkCmsstmCNRWqP2NhYxMbGOpclSUJaWhq+/vpr50Ci0WjEjz/+iDvuuMNnHkmScOedd+LDDz/E5s2b0atXr1aPvXPnTgBwG8A8lVqthlqtDqwzRETUZXBg0QWnQnsunzoV2nVKBqdCM+YvxqnQ0RfjVGjGGOtcsWDuk5CQgNGjRyMnJwdVVVU+83EqNO/mpOARBAF33303li1bhr59+6JXr1545JFHkJGRgSuuuMK53UUXXYS//OUvmDt3LoCW6c9vvfUWPv74Y8TGxjrrMcbFxUGr1eLQoUN46623cOmll6Jbt27YtWsX5s+fj3HjxmHw4MFtbqchJR0qrfcL+LjUTK/r26uz5Q1lbuYNbt5mkwCtQelc1hq6w5BshVrfvjsWHYLd/0jPF4qczNf+fJZGU1BzRtTDW5YvX44RI0YgNjYWKSkpuOKKK3DgwAG/+6xbtw6CILj94zTd0DCbzVixYkVIHt4iSRLUUEMKzuc1ERFRlyNJEuwmO6QQfJnqdDo88MADiImJCXpuIvLt/vvvx5133onbbrsNI0aMQENDAzZu3Oj2+86hQ4dQWVnpXH7xxRdRV1eH8ePHIz093flvw4YNAACVSoX8/Hxccskl6N+/P+655x5cddVV+L//+78O7x9RxJIkKKwi+AsqUesi6o7Fb775BnPmzMGIESNgs9nw0EMP4ZJLLsG+ffug1/u4jQ2AwWBwG4AUBOG0js+p0K1Phd66dSumTJkS9KnQFUUVWIZlKPnjYRjjm33sFVnTQhnzH+NU6OiLcSo0Y4xFdkxsFFF5eyWS1iRBpvX/t+PTmQp97733Yv369ZwKzanQ1IEEQcDSpUuxdOlSn9scPXrUbbm1Py706NED33zzTTCaRxS1FDYJV35Wgs+v8zOlh4gARNjAousTh4GWuxFTUlKwbds2jBs3zud+giD4nMJMwWMwGPD888+HuxlERETUwVQqFcaPHw+tVhuSmQtERERE1DlF1MDiqerqWm55SkxM9LtdQ0MDsrOzIYoizj77bDz++OMYNGhQm4/HGouey66vTSYTnnjiCTz44IPQ6/VBbYupygQTTEjtBsQl+dgvwurNMeY/xhqL0RdjjUXGGIvsmN1kRyUqkZGeAbleflr5/LnvvvuQnZ2NwsJCn/lYY5E1FomIiKhriagai65EUcTdd9+NMWPG4Mwzz/S5Xb9+/fDaa6/h448/xvr16yGKIs4991wcP37c5z7Nzc0wGo1u/6h1VqsVBQUFsFqt4W4KERERdaDq6mpMmjQJFRUV4W4KEREREUWQiL1jcc6cOdizZw++++47v9uNHj0ao0ePdi6fe+65GDBgAF566SU89thjXvdZvnw5lixZ4rZu9uzZrLHYSo1FAHj66adhMplgMpmCeuyKigrooENZFdBg97lbRNWbY8x/jDUWoy/GGouMMRbZMbFRBAAUlxQHvcaixWLBlClTUFtb63VwkTUWW7DGIhEREXU1ETmwOHfuXHz66afYsmULunfv3qZ9lUolhg0bhoMHD/rcZuHChViwYIFz2Wg0YtmyZafd3q7CbDZj1apVuPvuuz0GFYLl0DHA4OPJ5+bGkwMbjEV+rIKzwYiIooZKpcKUKVOgUqnC3RQiIiIiiiARNbAoSRLuvPNOfPjhh9i8eTN69erV5hx2ux27d+/GpZde6nMbtVoNtVrtsZ41Fj2XXV8bjUaYTCakpqbCYDAEtS0qUYXjOI7n3gZ8PxOaOiPWWIyeGGssMsZYZMdCWWOxsrIS119/PbZs2eL2//+p+VhjkX9VIyIioq4logYW58yZg7feegsff/wxYmNjUVpaCgCIi4uDVtsyl/LGG29EZmYmli9fDgBYunQp/vSnPyEnJwe1tbV46qmnUFhYiFtuuSVs/YhWBoMB69atC0nuxMREHMdxvPXWWyiv8z6NKD09HSUlJYx1klhhYSGeeOIJr9sREVHnYjAYcNdddyEuLg5NTU3hbg4RERERRYiIGlh88cUXAQDjx493W7927VrcdNNNAIBjx45BJjtZN6impga33norSktLkZCQgOHDh+P777/HwIED23x81lj0X2PRZDJhxYoVeOCBB6DX64N6bEddqBh9DBqsDV73iYmJ8TkFm7HIizn+GMAai9ETY41FxhiL7FgoaywCwNChQ1FWVhZwPUXWWCQiIiKKfhE1sChJUqvbbN682W155cqVWLlyZYhaRERERETV1dWYP38+3n777XA3hYiIiIgiSEQNLIYbayx6Lp8ae/XVV0PSFkddqB49evisCxUp54CxwGJmsxkAayxGU4w1FhljLLJjoayxmJycjCVLlmDw4MEe5TBYY/Ek1likrshYXgKlRuu2rr7KzxSIduhseUOZm3lDk9fSKKDRqIDd1JK3sb4YxgoRqobWb4LyJ9jtjPR8ocjJfMHLZ21qDGpu//NkiFwYjUbcdNNNMBqNQc8t08kw+OPBUMRwrJuIiOh0OL5LZbrgX96pVCqMGTOGT4UmIqIuwSoH3h4vg00hhLspRBGPozguWGPRf41Fs9kMvV6PsrIy1NfXh6Rd8mPyiPmZM9a+mKPOFGssRk+MNRYZY6yTxGp9bhpQPm9cp0JbLJaA8rHGIlHXYEhJh0qr9xqLS830ur69OlveUOZm3uDmbTYJ0BqUzmWtoTsMyVao9e27Y9Eh2P2P9HyhyMl87c9naTQFNSfvWKSA6XQ6PPTQQz4f3EFERETRyWAwYPHixUhISAh3U4iIiIgogvCORRessei57Pq6trYWt99+O9asWYP4+PiI+ZkwFpkx1liMvhhrLDLGWOeKBXMfURSh0+nQq1cvKBTul4+ssXgSaywSERFRV8M7FilgSqUSffv2hVKpbH1jIiIiihpVVVWYNm0ayspC94ADIiIiIup8eMfiCTKZjDUWW6mxCAC33347amtrUVtb22HtYqxzxlhjMfpirLHIGGOdLxasfURRxMqVK9HU1OTxVGhf+VhjkYiIiCj6cWDxBJVKxanQXpZdX9fU1GDWrFl49dVXkZCQEDE/E8YiM8ap0NEX41RoxhjrXLFg7mOz2WAymdCjRw/IZO4TXjgV+iROhSYiIqKuhlOhKWBqtRqjRo2CWq0Od1OIiIioA9XU1GDu3LmoqKgId1OIiIiIKILwjsUTLBYLp0IHMBV6+vTpqKmpQU1NTYe1i7HOGeNU6OiLcSo0Y4x1vlgw98nLy4PFYgl42jOnQhMRERFFP96xeIIoiuFuQsQzGo247bbbYDQaw90UIiIi6kA2mw3btm2DxWIJd1OIiIiIKILwjkUXrLHouez6ulu3bvjzn/+MXr16QaPRRMzPhLHIjLHGYvTFWGORMcY6VyyY+1RUVODZZ5/F1VdfDZVK5TMfayyyxiIRERF1LbxjkQKm0Whwxx13QKPRBD23vdGO/bP2w2ayBT03ERFRV+D4LrU32oOeOzk5Gfn5+UhPTw96biIiokijsInI/boMcmvwv1OJog3vWHTBGov+ayzW1tbinnvuwdNPP434+PigHltsFNFU2IRjhcdQWlsalJyMhTfGGovRF2ONRcYYi+yY47u0+I9iyLT+/3bc1hqLFosF33//PaZOner1AS6ssdiCNRaJiKKEBMTV2yBIUrhbQhTxOLBIAdPpdLj88ss9BhSI/Dl64vcvc+PJgalTMdY5YsX8fZmoyzKZTFi3bh1yc3PD3RQiijDG8hIoNVq3dfVVfv5S2Q6dLW8oczNvaPJaGgU0GhWwm1ryNtYXw1ghQtXQvgHGYLcz0vOFIifzBS+ftakxqLk5sOiCNRY9l0+N3XHHHSFpi91kRyUq0aNHD8j18qDkZCy8MceU+bUf+tycOiGVSomcnBykpqY610Xqe5AxxrpazPFdmpGe4fO7tLV8vmRmZuKrr75CdnY2CgsLfeZjjUXWWCQiIqKuhQOLFLDKykpcf/31eOutt5CUlBTu5lCE69atGzZs2OD8JSs9PR0lJSVet2Ws88QMBoPboCIRdQ0WiwXvvfceFixYEO6mEFGEMaSkQ6XVe43FpWZ6Xd9enS1vKHMzb3DzNpsEaA1KWK0igBJoYzNgSJag1gdnSnSw+x/p+UKRk/nan8/SaApqTg4sumCNRf81Fi0WC2bMmIH6+nrnzymYNRYBoKioiDUWoyzmmDofExPjcxo9Y50nZrPZ2lRLjTHGGOu4mOO7tLgk+DUWa2tr8cYbb2DSpElobPScPsMaiy1YY5GIiIi6Gg4sUsBUKhXGjx8f7mZQJ1JZWYmGhgYAgNls9vkLF2OdJ2az2aBQKNq8H2ORGYuJiUFmZujuzqDoER8fj1dffRWJiYltHpQkIiIiouh1WgOLx44dQ2FhIcxmM5KTkzFo0CCo1epgt63Dscai57Lr64qKCkybNg1vv/02kpOTWWORMb+xsrIyLFz4ICwWq8/tqfMRAPDZeNFDpVLiq6/yfQ4uRurnC2PeY6GssdjU1IS1a9di0aJFfvOxxiJrLHZFzc3N+PHHH91+Pxo2bBh69eoV7qYRERGFXMADi0ePHsWLL76Id955B8ePH4fk8th1lUqFsWPH4rbbbsNVV10Fmcz/9BvqnOLi4rBkyRLExcWFuynUCRiNRlgsVjx4K5CdDqQnAyUV3rdlrHPEPvoaWPcRnOc0UtvJWGCxwhLgiVesqKmpQUxMjPcdiU5obGzEf/7zH9x7773hbgpRxPjf//6Hf/7zn/i///s/WK1WxMXFQavVorq6Gs3Nzejduzduu+023H777YiNjQ13c4mIiEIioIHFefPmIS8vD7m5uVi2bBlGjhyJjIwM5xfnnj178O2332LRokVYsmQJ1q5dixEjRoS67UHHGov+aywCQM+ePVFRUeE11p5js8Zi9MUc0y61akCnBWL0gK7B+z6MdY6YWtXy2nFOI7WdjAUW056YaFBSUuKztiYQmZ8vjHmPhbLGIgCsWbMGJpMp4HqKrLFI0WzKlCnYvn07rr/+enz55Zc455xzoNWe/HI8fPgwvv32W7z99tt45pln8Prrr+Piiy8OY4uJiIhCI6CBRb1ej8OHD6Nbt24esZSUFFx44YW48MILsXjxYmzcuBFFRUWdcmCRU6E9lzkVmrHTjZnNZgBASiKQmQpkZ/jcjbFOEks4cbOy45yGsy2MtT9mPvH8jfT0dJ93LEbq5wtj3mOhnAptNpuxevVqPPnkk37zcSo0p0J3FZMnT8b7778PpVLpNd67d2/07t0bM2bMwL59+1BSUtLBLSQiIuoYAQ0sLl++POCEEydOPO3GUGRLSEjAc889h4SEhKDnlmlk6LO8D+Ra378IERERkW+O71KZJvglaRw15JqamoKem6gzmj17dsDbDhw4EAMHDgxha4go2OxyAd+M7ga7Qg7AFu7mEEU0PhXaBadC+58KLYoirFYrSkpKnHU0g9quDKDoj6KI+ZkzFpyp0OXVJ6fN/lHmczfGOkGspq7lv67nNFxtYaz9sfITN1ZxKnSUxTKA+tJ6n9sGks+X1atXcyp0KzFOhaaGhgaIoui2zmAwhKk1RHS6JJmAslQNtDIh3E0hinht/pN2VVUV5syZg4EDByIpKQmJiYlu/yh61dbWYv78+aitrQ13U4iIiKgDmc1mrFq1CiaTKdxNIYo4R44cweTJk6HX6xEXF4eEhAQkJCQgPj4+JDN9iIiIIkmb71i84YYbcPDgQcyaNQupqakQhOgZwWeNRc9l19fp6el4++230a1bN8hksoj5mTAWmTHWWIy+GGssRleMNRajPxbMfWpra1FUVIS0tDTo9Xqf+VhjkTUWu6Lp06dDkiS89tprUff7ERERUWvaPLD47bff4rvvvsOQIUNC0R6KYKIooqqqCgkJCc6p0ERERBT94uPj8c477yAxMRH19a1PtSbqSn799Vds27YN/fr1C8vxJUnC4sWL8corr6C2thZjxozBiy++iL59+/rc59FHH8WSJUvc1vXr1w+//fZbqJtLRERRps0Di/3790djY2Mo2hJ2rLHov8ZidXU15s+fj5UrVzqnvUfKz4exyIuxxmL0xVhjMbpirLHYNWLB2scxFfrJJ5/0WhKFNRZbsMZi1zRixAgUFRWFbWDxySefxLPPPou8vDz06tULjzzyCHJzc7Fv3z5oNBqf+w0aNAj5+fnOZYXi9MrvG8tLoNS4XxjUV/n5QmqHzpY3lLmZNzR5LY0CGo0KNDWUOtcZK2xQNUjtyhvsdkZ6vlDkZL7g5bM2BXdMr83fHi+88AIefPBBLFq0CGeeeSaUSqVbnMWJo1diYiLy8vLC3QwiIiLqYKIooq6uDna7PdxNIYo4//rXv3D77bfjjz/+8Pr70eDBg0N2bEmSsGrVKjz88MO4/PLLAQCvv/46UlNT8dFHH+G6667zua9CofBZBoqIiChQbR5YjI+Ph9FoxIUXXui2XpIkCILQqS84WWPRc9n1tcViwc8//4wRI0ZApVJFzM+EsciMscZi9MVYYzG6YqyxGP2xYO4DAOvXr0d2djYKCwt95mONRdZY7IoqKipw6NAhzJw507lOEIQO+f3oyJEjKC0txYQJE5zr4uLiMGrUKGzdutXvwGJBQQEyMjKg0WgwevRoLF++HFlZWT63b25udpvdZTQaAQCGlHSotHqv+8SlZra1SwHpbHlDmZt5g5u32SRAazj5xwGtoTsMyVao9e27Y9Eh2P2P9HyhyMl87c9naQzuw/jaPLD417/+FUqlEm+99RaLE3cxdXV1WLx4Md5++20kJyeHuzlERETUQRoaGnDvvfdiw4YN4W4KUcS5+eabMWzYMLz99tsd/vtRaWnLdM3U1FS39ampqc6YN6NGjcK6devQr18/lJSUYMmSJRg7diz27NmD2NhYr/ssX77coy4jERFRmwcW9+zZgx07doSthkgoscai/xqLAJCXlweLxeJcFyk/H8YiL8Yai9EXY43F6IqxxmLXiAVrH5PJBKvViqKiItTV1QWUjzUWqasoLCzEJ598gpycnJAf680338Ts2bOdy5999tlp5Zk0aZLz9eDBgzFq1ChkZ2fj3XffxaxZs7zus3DhQixYsMC5bDQa0aNHj9M6PhERRY82P9r3nHPOQVFRUSjaQhHOYrFg8+bNsFgs4W4KERERdSC9Xo+lS5f6nDZP1JVdeOGF+PXXXzvkWFOmTMHOnTud/5KSkgAAZWXufz0qKytrU/3E+Ph4nHHGGTh48KDPbdRqNQwGg9s/IiKiNt+xeOedd+Kuu+7Cfffdh7POOqtDixOHGmssei67vq6srEReXh5yc3ORlJQU1LaIzSKOP3cc3Z/sHrScjLHGImPBjbHGYnTFWGMx+mLO79K53SFT+/7b8enUWDQajZg3bx4+/PBDv/lYY5E1Fruiyy67DPPnz8fu3bu9/n40ZcqUoB0rNjbWbaqyJElIS0vD119/jaFDhwJo+f/1xx9/xB133BFw3oaGBhw6dAg33HBD0NpK1JnJ7RKG7arF/jF+LrCICMBpDCxee+21AFpqiTh0VHFiCq+kpCR8+eWXIckt2SRUfV4F8e9iSPITERFFO8d3aebtmYA6uLnlcjkSExMhl8uDm5goCtx+++0AgKVLl3rEQv37kSAIuPvuu7Fs2TL07dsXvXr1wiOPPIKMjAxcccUVzu0uuugi/OUvf8HcuXMBAPfeey8uu+wyZGdno7i4GIsXL4ZcLse0adNC1laizkQQJfQuNOPAaP5+StSaNg8sHjlyJBTtiAissei/xqLFYsHGjRsxceJEqFSqoB5bbGz5wC4qKkJpre9C05FyPhhjjcWuGGONxeiKscZi9MUc36XFJcWQaf1Xuzmduoz33HMPqqurA66nyBqL1FWIYngHHu6//36YTCbcdtttqK2txXnnnYeNGzdCo9E4tzl06BAqKyudy8ePH8e0adNQVVWF5ORknHfeefjhhx/4gEYiImqzNg8sns70GYoOZrMZH3/8McaNG+ccWCQiIqLoZzQasWjRIrzyyivhbgoRnUIQBCxdutTrHZMOR48edVt+5513QtwqIiLqKto8sAgAxcXF+O6771BeXu7xF7p58+YFpWFt9fzzz+Opp55CaWkphgwZgtWrV2PkyJFtysEai57Lrq8zMzOxcePGkLTFbrKjEpXo0aMH5Hrv06wi5RwwxhqLXTXGGovRFWONxeiLOb5LM9IzfH6XtpbPl/j4ePTv3x+9e/f2qCPIGosnscZi1/Xzzz9j06ZNXn8/euaZZ8LUKiIiotBr88DiunXrMHv2bKhUKnTr1g2CIDhjgiCEZWBxw4YNWLBgAdasWYNRo0Zh1apVyM3NxYEDB5CSktLh7YlWTU1NWLt2LWbOnOk2tYKIiIiim16vx2OPPYbY2FgOnhGd4vHHH8fDDz+Mfv36ITU11eP3IyIiomjW5oHFRx55BIsWLcLChQshk/mv39NRnnnmGdx6662YOXMmAGDNmjX47LPP8Nprr+HBBx8MKIdGo2GNxVZqLBqNRnz66acYP348DAZDUI/NGovRF2ONxeiLscZidMVYYzH6YqGssWg0GrFw4UKsXbvWeUd6a/lYY5G6in/+85947bXXcNNNN4W7KURERB2uzQOLZrMZ1113XcQMKlosFmzbtg0LFy50rpPJZJgwYQK2bt3aplycCu25fOpU6M8++ywkbeFU6OiLcSp09MU4FTq6YpwKHX2xUE6FTkhIwOjRo5GTk4Oqqiqf+TgVmndzdkUymQxjxowJdzOIiIjCos0Di7NmzcJ7770X8J2AoVZZWQm73Y7U1FS39ampqfjtt9+87tPc3Ox2Z6LRaAz709w6A7PZjNWrV+POO+/0e3cLERERRRedTocHHngAMTExHgOLRF3d/Pnz8fzzz2PVqlXhbkpYGMtLoNS4T2Wor/JzC307dLa8oczNvKHJa2kU0GhUwG5qydtYXwxjhQhVg9SuvMFuZ6TnC0VO5gtePmtTY1Bzt3lgcfny5fjzn/+MjRs34qyzzoJSqXSLd4bixMuXL8eSJUvc1s2ePZtToQOYCr1161ZMmTKFU6EZazXGqdDRF+NU6OiKcSp09MVCPRX63nvvxfr16zkVmlOh6RT33nsvJk+ejD59+mDgwIEevx998MEHYWoZERFR6J3WwOIXX3yBfv36AUDYixMnJSVBLpejrMz9N6aysjKf05oXLlyIBQsWOJeNRiOWLVsW0nZGA4PBgOeffz7czSAiIqIOplKpMH78eGi1Wq8Di0Rd2bx587Bp0yZccMEFHg+37AoMKelQafVeY3GpmSE5ZmfLG8rczBvcvM0mAVqDElarCKAE2tgMGJIlqPXtu2PRIdj9j/R8ocjJfO3PZ2k0BTVnmwcWn3766YgqTqxSqTB8+HB8/fXXuOKKKwAAoiji66+/xty5c73uo1aroVarPdazxqLnsutrk8mEJ554Ag8++CD0en1Q2yJaRChuUCC7TzbkpayxGA0x1liMvhhrLEZXjDUWoy/m+C5NzUqFTOX7jsXTqbEIAPfddx+ys7NRWFjoMx9rLLLGYleUl5eH999/H5MnTw53U4goSESZgL39YiHKZQDs4W4OUURr8xNY1Gp1xBUnXrBgAV555RXk5eVh//79uOOOO2AymZxPiabgsFqtKCgogNVqDXpumUqG9BnpkKt9F5snIiIi3xzfpf4GFU9XdXU1Jk2ahIqKiqDnJursEhMT0adPn3A3g4iCSJQL2DvAcGJgkYj8afMdi3fddRdWr16NZ599NhTtOS3XXnstKioqsGjRIpSWlmLo0KHYuHGjxwNdWsMai/5rLAItd6yaTCaYTKYOaxdjnTPGGovRF2ONxeiKscZi14gFax+LxYIpU6agtrbW6+Aiayy2YI3FrunRRx/F4sWLsXbtWj7gkIiIupw2Dyz+9NNP+O9//4tPP/0UgwYNipjixHPnzvU59ZmCw2w2Y9WqVbj77rt50URERNSFqFQqTJkyBSqVKtxNIYo4zz77LA4dOoTU1FT07NnT4/ej7du3h6llREREodfmgcX4+HhceeWVoWhL2LHGouey62uj0QiTyYTU1FQYDIaI+ZkwFpkx1liMvhhrLEZXjDUWoz8WzH0qKytx/fXXY8uWLcjMdC8izhqLJ7HGYtfkqPNORETUFbV5YHHt2rWhaAd1AgaDAevWrQt3M4iIiKiDGQwG3HXXXYiLi0NTU1O4m0MUURYvXhzuJhAREYVNmwcWoxlrLPqvsWgymbBixQo88MAD0Ov1HdYuxjpnjDUWoy/GGovRFWONxa4RC+Y+Q4cORVlZWcD1FFljkaKZJEkQBCHczSAiIgq7gB5xNHHiRPzwww+tbldfX48VK1bg+eefb3fDiIiIiCgyVFdXY8aMGXwqNNEJgwYNwjvvvAOLxeJ3u4KCAtxxxx144oknOqhlREREHSugOxanTp2Kq666CnFxcbjssstwzjnnICMjAxqNBjU1Ndi3bx++++47/Oc//8HkyZPx1FNPhbrdIcEai57Lp8ZeffXVDm0LY503xhqL0RdjjcXoirHGYvTHgrlPcnIylixZgsGDB6OkpMRnPtZYZI3FrmL16tV44IEH8Le//Q0XX3yxz9+P9u7di7lz5+KOO+4Id5OJiIhCIqCBxVmzZmH69Ol47733sGHDBrz88suoq2uZEycIAgYOHIjc3Fz8/PPPGDBgQEgbTOFjNBoxb948PPvsszAYDOFuDhEREXUQlUqFMWPG8KnQRCdcdNFF+OWXX/Ddd99hw4YNePPNN1FYWIjGxkYkJSVh2LBhuPHGG/HXv/4VCQkJ4W4uERFRyARcY1GtVmP69OmYPn06AKCurg6NjY3o1q0blEplyBrYkVhj0X+NRbPZDL1ej7KyMtTX13dYuxjrnDHWWIy+GGssRleMNRa7RixY+1RXV2P+/Pl4++23vU79ZI3FFqyx2PWcd955OO+888LdDCIiorA57Ye3xMXFIS4uLphtoQin0+nw0EMPhSS3ZJPQ9F0TxGvEkOQnIiKKdo7vUs15GgiK4D5UwmAwYPHixUhISEBZmZ8RbCLqcozlJVBq3P/iWF8Vms+JzpY3lLmZNzR5LY0CGo0KWIwl6F0iobivBGOFHaoGqV15g93OSM8XipzMF7x81qbGoObmU6FdsMai57Lr69raWtx+++1Ys2YN4uPjg9oWu8mOXWt3ofud3SFTen+mUKScA8ZYY7GrxlhjMbpirLEYfTHHd2mvK3pBrpefVj5fRFGETqdDr169oFC4Xz6yxuJJrLFIRBQd5CJw7n4JH/Ru34AiUVfAgUUKmFKpRN++faNm6jsREREFpqqqCtOmTcOWLVvC3RQiijCGlHSotHqvsbjUzJAcs7PlDWVu5g1u3maTAK1BCatVBFACbWwGDMkS1PrgDDAGu/+Rni8UOZmv/fksjaag5uTAogvWWPRfYxEAbr/9dtTW1qK2tjaoxxYbW6ZAFxUVobS2NCg5GQtvjDUWoy/GGovRFWONxeiLOb5Li0uKIdN6v/s/kHzeiKKIlStXoqmpyeOp0L7yscYiERERUfTjwKILToX2XHZ9XVNTg1mzZuHVV19FQkJC0KdCV6ISPXr08Dl9K1LOAWOcCt1VY5wKHV0xToWOvpjjuzQjPSPoU6FtNhtMJhN69OgBmcx90JJToU/iVGgiIiLqavz/OduLGTNmcBpMF6VWqzFq1Cio1epwN4WIiIg6UE1NDebOnYuKiopwN4Uo4lx44YVYsmSJx/qamhpceOGFYWgRERFRx2nzHYt1dXWYMGECsrOzMXPmTMyYMQOZmaGrRdGROBW69anQ06dPR01NDWpqaoJ6bE6Fjr4Yp0JHX4xToaMrxqnQ0RcL5VRoAMjLy4PFYgl42jOnQlNXsXnzZuzevRs7duzAm2++Cb2+pd6gxWLBN998E+bWERERhVab71j86KOP8Mcff+COO+7Ahg0b0LNnT0yaNAn//ve/YbVaQ9FGihBGoxG33XYbjEZjuJtCREREHchms2Hbtm2wWCzhbgpRRMrPz0dpaSn+9Kc/4ejRo+FuDhERUYc5rRqLycnJWLBgARYsWIDt27dj7dq1uOGGGxATE4Pp06fjb3/7G/r27RvstoYcayx6Lru+7tatG/785z+jV69e0Gg0rLHImN8YayxGX4w1FqMrxhqL0RcLZY3FiooKPPvss7j66quhUql85mONRdZY7KrS09PxzTffYObMmRgxYgTee+89DBgwINzNIiIiCrl2PbylpKQEX331Fb766ivI5XJceuml2L17NwYOHIgnn3wS8+fPD1Y7KQJoNBrccccd4W4GdTIFhS3/bTABJT5KczHWOWKlJ2KOcxqp7WQssFih54N9iXxKTk5Gfn4+0tPTUVhY2PoORF2IIAgAWuqRv/XWW1i2bBkmTpyIBx54IMwtIyIiCr02DyxarVZ88sknWLt2Lb788ksMHjwYd999N66//noYDAYAwIcffoibb7650w0sssai/xqLtbW1uOeee/D0008jPj4+qMdmjcXoizmmyz2T53NT6qR4TqOHUqmAyWRCXV2dz20i8fOFMe+xUNZYtFgs+P777zF16lSvD3BhjcUWrLHYNUmS5Lb88MMPY8CAAZgxY0aYWkRERNRx2jywmJ6eDlEUMW3aNPz0008YOnSoxzYXXHCBc+CJoodOp8Pll1/ut8j/6RJkAlRnqk6j6idFqvj4ePzzn/9EbW0tACAlJcXnL1yMdZ6YKIqQyWRt3o+xyIzFxMQgNTX1tB7kQZHH8V0qyISg5zaZTFi3bh1yc3ODnpuoszty5AiSk5Pd1l111VXo378/fvnllzC1iojaQxKA0hQ1JEEAILW6PVFX1uaBxZUrV2Lq1KnQaDQ+t4mPj8eRI0fa1bBwYI1Fz+VTY65ToYPdlu6ruiM7OxvyQtZYjJaY6xPjs7OzfU6fY4wxxsIb84Wxzhfrvqq7z20DyedLZmYmvvrqK6/vJdZYPIk1FrsmX++TQYMGYdCgQR3cGiIKBrtChi3nJkGrlAMQw90coojW5oHFG264IRTtoE6gsrIS119/Pd566y0kJSWFuzlEFAZlZWUeT4ZvaGhASYn3gn2MRXbMYDCc1iATdT0WiwXvvfceFixYEO6mEBEREVEEadfDW6INayz6r7FosVgw4/+3d+fxTVX5//hfN2vbtOm+YluWiguCMi6II8oMDIuMdUEdcGXE9eMKMiIzCiLOsOiMjOhHZhymoKIo3w+OOwqMgP5ERRERF4QKbaEL3dK02W6W+/ujJCY0aVp6k5ukr+fj0Qf33ve973tOzm1yOT335Kab0N7e7nudYuX1YYwxxiIf+/rrr/HQQ3PhdLpC7kPxRavVYPXqNXC5QrdpLF2DjPU+JtcxJpMJL774IiZPngybzdajfJxjkah/MB+tgzYpOWBbe3NDRM4Vb3kjmZt5I5NXtAmwmTWwd/w877+50QVdR98eh5a7nLGeLxI5mU++fE5713u5vmDHIvWYTqfD2LFjlS4GESmko6MDTqcLt18DFOX9vD0vCzga4uk/xmI3VnsU+MdrLpjN5ojMnUuJJSMjA6tWrUJWVhbn5CQiIiIiH3Ys+uEci13X/ZcbGxsxffp0vPLKK8jNzY2Z14QxxhiLTmz//v0AgLNOBU4e6BcrAqpqQxzHWMzG9h/q/LewsBCpqanBj4uxa5Cx3sXkPMZut6OiogLz58/vNh/nWOQci9T/GPMKoUs2BI2l5w8Iur2v4i1vJHMzr7x5HRYByUatbz3ZeBKMuU7oDX0bsegld/1jPV8kcjJf3/OJNousOfkdvMfodDqlixDz0tPTsXDhQqSnpytdFCIiIooim82Gd999F1arVemiEPUrkiRh/vz5KCwsRHJyMsaPH+/7Q18oAwcOhCAIXX7uuusu3z5jx47tEr/jjjsiXR0iIkpAHLF4jEql4hyLYeZYBDpvVBobG6NaLsYYYyw2Yt65w462ACmBUynhSDdTgDAWmzHvo9F1dXXdPgodS9cgY72PyXnMypUrYbFYejyfIudYJOq7ZcuW4emnn8aaNWswaNAgPPLII5g4cSK+++47JCUlBT1m586dcLvdvvW9e/fiN7/5Da6++uqA/W699VY89thjvnVOi0FERCeCHYt++Ch013U+Cs0YY4x5Y94REnlZwIB8v1hRyMMYi+GY9diczXwUOnFjch5jtVqxYsUKLFu2rNt8fBSaj0KTfCRJwvLly/Hwww/jsssuAwC88MILyM/Px3/+8x9MmzYt6HG5ubkB60uWLMGQIUNw8cUXB2xPSUkJ+X8fIiKinuKj0MfY7XalixDzMjMz8cwzzyAzM1PpohAREVEUORwOfPbZZ7xfIoqigwcPor6+HuPHj/dtS09Px6hRo7Bjx44e5RBFES+99BJuvvlmCIIQEFu7di1ycnJwxhlnYN68eWGnOnA4HDCbzQE/REREHLHoh49Cd/8otMfjgdPpRF1dHVQqVdTKxRhjjMVGjI9CJ1aMj0L3j5icx6xYsYKPQoeJ8VFoklN9fT0AID8/P2B7fn6+LxbOf/7zH5hMJsyYMSNg+7XXXovS0lIUFRVhz549mDt3Lvbt24cNGzaEzLV48WIsXLiwd5UgIqKExxGL1GMmkwmzZs2CyWSSPbfkkeA67ILklufbtoiIiPob32epR/7PUqvViuXLl8Nisciem4g6rV27Fqmpqb4fp9PZ55yrVq3C5MmTUVQUOCfGbbfdhokTJ2L48OG47rrr8MILL+D1119HZWVlyFzz5s1DW1ub76empqbP5SOKVYIkwWh2AhH4TCVKNByx6IdzLHZd918uLCzEK6+8guzsbKhUKlnL4ra4sef3ezB612gIaiHIUbHTBowx1l9jnGMxsWKcYzHxYt7P0hFvjIDaoD6hfKGYTCbU1NSgoKAABoMhZD7Oscg5FunElZeXY9SoUb5175NUDQ0NKCws9G1vaGjAWWedFTZfVVUVNm/e3O0oRC/veQ8cOIAhQ4YE3Uev10Ov14fNRZQI1C4Jk/57FO9NK1a6KEQxjx2L1GMejwfNzc3IzMz0PQpNREREiS8jIwPr1q1DVlYW2tvblS4OUUJKS0tDWlqab12SJBQUFGDLli2+jkSz2YzPPvsMd955Z9h8FRUVyMvLw5QpU8Luu3v3bgAI6MDsqWR0QA9PwDYHOkc3p0De94t4yxvJ3Mx7YnmT0dFt3AYVDDDCcWy/FJiRCQuSj7vGA48J/gfavpQz3vNFIifzyZdPje7n1O0tdiz64RyL3c+x2NLSglmzZuGpp55CVlaWrOf22DrfqGtqalBvCj1nTKy0B2OM9ccY51hMrBjnWEy8mPeztLauFqrk7v8A2Ns5Fr2PQi9btizolCicY7ET51gkOQmCgPvvvx+PP/44Tj75ZAwaNAiPPPIIioqKcPnll/v2GzduHK644grcfffdvm0ejwcVFRW46aaboNEE/pevsrISL7/8Mi655BJkZ2djz549mDVrFi666CKMGDGi1+U8U/0xUtSBIxnr1SYAQIE6o9f5uhNveSOZm3lPLG+Z8E23cbMmGTrVCJhUrQAGY7jqc/xKswdGjS3kMQek4bKXM97zRSIn88mXz6p2dL9zL7FjkXosKysLa9asUboYREREFGUejwdtbW1wu91KF4WoX3nwwQdhsVhw2223wWQy4cILL8TGjRuRlJTk26eyshJNTU0Bx23evBnV1dW4+eabu+TU6XTYvHmzb97U4uJiTJ06FQ8//HDE60NERImHHYt+OMdi13X/ZVEUsXPnTpx77rnQ6XSyz7HYhCYUFxeHnBcqVtqAMcb6a4xzLCZWjHMsJl7M+1laVFgk+xyLAPDSSy+htLQUVVVVIfNxjkXOsUjyEgQBjz32GB577LGQ+xw6dKjLtgkTJkCSpKD7FxcXY9u2bXIVkYiI+jl2LFKPtbW1YcGCBXjllVeQm5urdHGIiIgoSjo6OjBnzhy8+uqrSheFiGLM0aNtSErSBWxrajJH5FzxljeSuZn3xPLqhe7nluuwetBqbkG7pXNeu9b2Vhw5akFbij3kMfWSSfZyxnu+SORkPvny2e2irLnZseiHcyx2P8ciAKxZswaiKPq2cY5FxhjrPzHOsZhYMc6xmHixSM6xaLFY4HQ6UVNTg7a2th7l4xyLRP3D9+6zoXMH3hiYPZ2/Cw3uPFnPFW95I5mbeU8sbyXO6DZudwuo9KTC6TmKkQB+9JwJh7sMSa7gI4ABwI7Q91EnWs54zxeJnMwnXz7RbQPwsix5AXYsUi+IoohPPvkEF1xwAXQ6XfgDiIiIKCEYDAY89thjSE1NDdqxSET9lz6vDLpkQ8A2HTrX9fkDZD1XvOWNZG7mPbG8obsHj7EIgFELOA0A6oC0oUCuBMkQ+kh9yMiJlzPe80UiJ/PJl0+wWWTJ6RUzHYtOpxMPP/ww3n33Xfz0009IT0/H+PHjsWTJEhQVhZ446tFHH8XChQsDtp1yyin44Ycfel0GzrHYdd1/uampCWvWrMHEiRORk5PDORYZY6yfxTjHYmLFOMdi4sUiOcei2WzGvffei9dff73bfJxjkXMsEhERUf8SMx2LVqsVu3btwiOPPIIzzzwTra2tuO+++1BeXo4vvvii22OHDRuGzZs3+9Y1mpipVkLJycnBBx98oHQxiIhIRgcOHIDBYAga6+joQF1dHWNxEpNsYcdhnDC1Wo2srCyo1aE7LImIiIio/4mZHrj09HRs2rQpYNszzzyD8847D9XV1SgpKQl5rEajCTnSsDc4x2L3cyyKooiNGzdi0qRJvkeh5ZxjUUgSOMciY4zFcIxzLCZW7MdDnf/OmTMn9EEUV/TQ42E8jG/2foPck7r/krXezrEIAA888ABaWlp6PJ8i51gkIqJ45tQISheBKC7ETMdiMG1tbRAEARkZGd3ut3//fhQVFSEpKQmjR4/G4sWLu+2IdDgcAR2IZnPkvgUskVitVrzxxhu46KKLZJ9jUZWsQu4/cjsf3TLJmpqIiIKwHvtyw4duBZJDTA6Ul/Xzl7wwFvux2qMOPPLaI1joWohcdN+x2Ftmsxnz58/H888/L2teIiKiWOTSqvD6b4uQrNMAcCpdHKKYFrMdi3a7HXPnzsX06dNhNBpD7jdq1CisXr0ap5xyCurq6rBw4UKMGTMGe/fuRVpaWtBjFi9e3GVexttvv51zLAZZ918eMGAANm7cGNWyMMYYY7ET4xyLiRXLTO/89/wRQGrwJ6FRWgRU1TIWL7H9hzr/zcvLw4ABoSf6PpE5FjMyMnDqqadi8ODBXeYR5ByLP+Mci0RERNTfqJQ68dq1a5Gamur7+eijj3wxp9OJa665BpIk4bnnnus2z+TJk3H11VdjxIgRmDhxIt59912YTCa89tprIY+ZN28e2trafD81NTWy1SuR2e12PPfcc7Db7UoXhYiIiKLIYDBg0aJFIf9oS0RERET9k2IjFsvLyzFq1Cjfuvcv695OxaqqKvz3v//tdrRiMBkZGRg6dCgOHDgQch+9Xg+9vutzX5xjsfs5Fs1mM95++22MHTvW1y6x8vowxhhjkY9xjsXEirW2df5b1wikdChbFsbkiXkfiT569ChSUlJCH4Dez7FoNpsxb948VFRUwGq19igf51gkIiIiSnyKdSympaV1+au3t1Nx//79+PDDD5Gdnd3rvB0dHaisrMQNN9zQ62P5KHTX9eMfhX7nnXeiWhbGGGMsdmJ8FDqxYt5HoQtzu38UOhplYUyemNXW+W8kHoXOzMzE6NGjUVZWhubm5pD5+Cg0H4UmIiKi/kWxR6GP53Q6cdVVV+GLL77A2rVr4Xa7UV9fj/r6eoii6Ntv3LhxeOaZZ3zrc+bMwbZt23Do0CF88sknuOKKK6BWqzF9+nQlqpHQrFYrli5dGnSkAhERESWulJQUzJ07F6mpqUoXhYiIiIhiSMx8ecuRI0fw5ptvAgDOOuusgNiHH36IsWPHAgAqKyvR1NTkix0+fBjTp09Hc3MzcnNzceGFF+LTTz9Fbm7vvw2Rj0KHfxR6x44dKC8v56PQjDHWD2N8FDqxYnwUOvFikX4Ues6cOXjppZf4KDQfhSYiIiLyiZmOxYEDB0KSpLD7HTp0KGB93bp1ESoRHc9oNOLZZ59VuhhEREQUZTqdDmPHjkVycjKfXCAiIiIin5jpWIwFnGOx67r/ssViwZIlS/DQQw/BYDDEzGvCGGOMRSfGORYTK8Y5FhMvFsk5FgHgD3/4A0pLS1FVVRUyH+dY5ByLRERE1L+wY5F6zOl0Yv/+/XA6nUoXhYiIiKKopaUF1113HbZt26Z0UYgoxpiP1kGbFDhHSntzN/M39EG85Y1kbuaNTF7RJsBm1sDeUe/bZm50QdcR/unK7shdzljPF4mczCdfPqfdJmtudiz64RyL3c+xCAB//etfYbFYYLFYolYuxhhjLDZinGMxsWKcYzHxYpGcY1EURZSXl8NkMqGxsbFH+TjHIhEREVHiY8ci9ZjVasXy5ctx//33h/0PS295bB4039+MgleDP4pOREREYYh6LMLD8Ng9sqfW6XQoLy+HTqeTPTcRxTdjXiF0ycHn1EjPDz0tQ1/EW95I5mZeefM6LAKSjVponB5c+n49Nl9VAGOuBL2hbyMWveSuf6zni0RO5ut7PtFmkTUnOxb9cI7Fruv+y2azGRaLBfn5+TAajbKWxW1xo8nehOLiYqgNallyMsYYY/LGOMdiYsU4x2LixSwmwIIkGHINss+x2NTUhGuvvRbbt2/vkptzLP6McywSESUOrUuezkSiRMeOReoxo9GI1atXK10MIiIiijKj0Yj77rsP6enpsNvtSheHiIiIiGIEOxb9cI7F7udYtFgsWLp0KebOnQuDwSDruT22zse2ampqUG+qD3aIrOdjjDHGeh/jHIuJFeMci4kXa2wFUgA0NjbCcCTEMFTvMb2cYxEAzjrrLDQ0NPR4PkXOsUhERESU+FRKF4CIiIiIYltLSwtuuummoF/cQkRERET9F0csHqNSqTjHYpD142OrVq2KSFncFjeawDkWGWMslmOcYzGxYpxjMfFinXMsArm5ubLPsZibm4uFCxdixIgRqKurC5mPcyxyjkUiIiLqXzhi8Rh+y2F4ZrMZM2bMgNlsVrooREREFEU6nQ6//OUveb9ERERERAE4YtEP51jsfo5Fq9UKg8GAhoYGtLe3y3puzrHIGGOxH+Mci4kV4xyLiReL5ByLLS0tmDVrFl555RWIotijfJxjkYiIiCjxccTiMcFukilQSkoK/vjHPyIlJUXpohAREVEUGY1GLFiwAJmZmUoXhYiIiIhiCEcsHuPxeDjHYpB1/2WTyYQ77rgDK1euREZGBudYZIyxfhbjHIuJFeMci4kXi+Qcix6PBykpKRg0aBA0msDbR86x+DPOsUhERET9DUcsUo9ptVqcfPLJ0Gq1SheFiIiIoqi5uRnTp09HQ0M3z2QTERERUb/DEYt+OMdi93MsAsAdd9wBk8kEk8kk67klj4SsP2fhSOMR1NbXypKTMcYYkzfGORYTK8Y5FhMv1tgu4n/xJP6n7X9kn2PR4/Hgqaeegt1u7/Kt0KHycY5FIiKKV26NgI2/zoNLowbgUro4RDGNHYt++Ch013X/5dbWVsycOROrVq1CZmam/GUp7owJakG+nIwxxphsMT4KnVgxPgqdeDGrTUIDGpBXkCf7o9AulwsWiwXFxcVQqQIfeOGj0D/jo9DUH5mP1kGbFPgXx/bmyIxujre8kczNvJHJK9oE2Mwa2C0NsKmApA4tzI0u6DqkPuWVu5yxni8SOZlPvnxOu03W3HwUmnpMr9dj1KhR0Ov1SheFiIiIoqi1tRV33303GhsblS4KEREREcUQjlj0w0ehwz8Kff3116O1tRWtra1RKxdjjDEWGzHvI36ff9P5OLTX/kOB6/4Yi93Yjwc7/93+BZCeFrvlZKznsdpjT+EePXoUKSkpwQ84prePQgPAmjVrIIpijx975qPQRP2DMa8QuuTgQ9/T80OPnu6LeMsbydzMK29eh0VAsvHn7xRINp4EY64TekPfRix6yV3/WM8XiZzM1/d8os0ia052LFKPmc1mzJkzB08++SSMRqPSxSGiKMvIyAAAVLyubDlIXn9bo3QJSE5arQapqamy53W5XPj666+Rm5sre24iIiIiil/sWPTDORa7rvsvZ2dn47e//S0GDRqEpKSkmHlNGGOMsejFXn311S5ziBUWFgb9MgfGYj/mdrtx0kknxURZGJMnZjQakZ+fH3RfrxOZY7GxsRFPP/00rrrqKuh0upD5OMci51gkIiKi/oUdi9RjSUlJuPPOO5UuBhEpKDs7G9nZ2QHbSktLQ46QYowxxpSLySk3NxebN29GYWEhqqqqIn4+IiIiIooP7Fj0wzkWu59j0WQy4YEHHsBf//pX3yORsfL6MMYYY4wx1vtYU1MT9u/fH3JeOMaiFHMCP+b9iMbWRkBE51fraeBb3l+0H0cPHwXU6PxxHIurgR+/OXacGoAdMGQZkJuXC4/NA0EvAAIg2SUISQIgAZKjc46owzWHITkkqJJVkNwSJNFv2SlBlaSC5JIADyDoBIiiiE8++QRXX3110C9w4RyLnTjHIsWLDRs2YOXKlfjyyy/R0tKCr776CmeddZbSxSIiojjEjkXqsZSUFFx22WVhJ4QnIqLY19TUhIcemgun06V0Ufq9q3AV2tCGTdiE63E9qlGN7diOW3AL9mAPPsfnuBt3Yzu2Yw/24AE8gLfwFn7Ej/gT/oSX8BKqUIVFWISnNH/D7KUPwPOAB9lPZUNIFtB0RxNyVuZAsklontWM4s3FcNe60bqoFbn/yIXroAttz7QhZ3kOxO9EdLzcgezF2XDsdMC6yYrMP2bCYrFg9erVmDhxotIvFxHJwGKx4MILL8Q111yDW2+9VeniEBFRHGPHoh/Osdh1/fiY/6PQsfKaMMYYY4wx1vuY1WqF0+nCkw8ChqTgxxXmAnVdB6cxJlNMcmkgbpkM3UXvoKBQxJUmQHK+igsED6ZrAElcg1+oPfhjAVB75B84Xe2GoAYkcQXu17ggqID8tCcxoM0JQQVUVz2O2jUiUlJSMPiNwVAlqwABKHqjCKoUFSABA94YgNLSUkhuCSe9ehLUBjWkAgmecz1QpxxbvtgDdbIa0uUSpHIJKp0KJ+EkbNq0CaWlpV0eheYciz/jHIsUL2644QYAwKFDh5QtCBERxT12LFKPNTU14dprr8XLL7+MnJwcpYtDREQyKCsGUg3BY6VFjEUy5nECtelAUZkTg0rdMNYCgNPvCKffcf7bRb+cjmPHAYAD0rEltUHt28e3LPy8LKiFwOUUv+XkzmVJktCyuQVZv8mCS3Jh/fr1mD17dvDKEVHCczgcAdNGmc1mBUtDRESxgh2LfjjHYvdzLIqiiJtuugnt7e2+10muc0sOCW1Pt8G92I36lnpZcjLGGGOMMRY65p0Lrq4RSOkIeRiONDAWuZgLwq/eQl0LoNL2PefRBi1uwU04evho2GlLurtWvCSHhLYP2mA/1Y42WxtefPFFTJ48GTabrUf5OMciUWJZvHgxFi5cqHQxiKJC7fLgl5+3YNe4QqWLQhTzVEoXgOKHTqfD2LFjodPpZM8teSSIe0XAI3tqIiKimCQ5NTD/31WQnDL9nVdS4RScIttnqaAXkPGHjM5/MzKwatUqZGVlyZOciKJm7dq1SE1N9f189NFHJ5Rn3rx5aGtr8/3U1NTIXFKi2CFIQMFRBwRJCr8zUT/HEYt+OMdi13X/5cbGRkyfPh2vvPIKcnNzZS2L2+JGE5pQXFwc8PhWX3IyxhhjjDEWOma1WgF0zvvX3aO7IXMy1ueYxymhoagN+fmSLDktJsACIDc3FwMGDAh9TDfXSkD5RA+a3mxCTnkORI+IiooKzJ8/v9t8nGORcyxS7CkvL8eoUaN86929P3RHr9dDr9fLVSwiIkoQHLFIPZaeno6FCxciPT1d6aIQERHFPZXWjcLLN0GldStdlOA8gOU7C+ABbDYb3n33XV+HNBHFj7S0NJSVlfl+kpOTlS4SERElEI5Y9MM5FrufYxEABg4ciMbGxqCxvpzbY+t8bqumpgb1Js6xyBhjjDEW6RjnWFQ+JolamNf/DsarXwXg7HPOxlYgBZ1PGBiOhBiG6j2mB3MsAoBupg51zXUAgJUrV8JisfR4PkXOsUgUu1paWlBdXY3a2s5vf9q3bx8AoKCgIOQTXKGYj9ZBmxTYWdne3M2bVh/EW95I5mbeyOQVbQJsZg3cls68tvZamBs90HX07ZFoucsZ6/kikZP55MvntHedL7sv2LHoh49Cd13no9CMMcYYY4kZ46PQysc8Tg90w6qRU+CJ2UehG15pQP70fNhddqxYsQLLli3rNh8fheaj0BQf3nzzTfz+97/3rU+bNg0AsGDBAjz66KMKlYqIiOIROxapxzIzM/HMM88gMzNT6aIQERHFPZXWjbyJ25UuRmgS4GxyAhLgcDjw2WefwW63K10qIpLBjBkzMGPGDFlyGfMKoUsO/heq9PwTm88xnHjLG8nczCtvXodFQLJRC6fTA6AOyWlFMOZK0Bv6NmLRS+76x3q+SORkvr7nE20WWXOyY9EPH4Xu/lFoj8cDp9OJuro6qFQqWc/NR6EZY4wxxqIb46PQysckUYu2l25C+vVrEKuPQqunqVHX1Pko9IoVK/godJgYH4UmIiKi/oZf3kI9ZjKZMGvWLJhMJqWLQkREFP9UHuiH7wFUHqVLEpQkSmh/uR2SKMFqtWL58uWwWOT9CzcRERERxTeOWPTDORa7rvsvFxYW4pVXXkF2djZUKhXnWGSMMcYYi+MY51iMhZgbGPC5bDkjMcdibWotigYUwWw1o6amBgUFBTAYAi8YzrH4M86xSERERP0NRyxSj3k8HjQ3N8Pjic2RFURERPHE7dBi35/vhtuhVbooQal0Kpx050lQ6VTIyMjAunXrkJWVpXSxiIiIiCiGcMSiH86x2P0ciy0tLZg1axaeeuop338s5Dq35JKQ9vs0HG44jLqjdbLkZIwxxhhjLHSMcywqH5PcbmhGbUddsxtqfd9zNppdeAfrMaV1iixzLEqihPYX25F2QxpsLhuWL1+OZcuWBZ0ShXMsduIci0REicGjFrDzrAy41SoAbqWLQxTT4n7E4owZMyAIQsDPpEmTlC5WQsrKysKaNWsiMlpB0AhIHpsMlTbuL0kiIqIeEdQeJA3fA0Et05MAajc+x+fy/dlYAFRZKkDofGqhra0Nbjf/c0VERInPoxJwcKABkpr/PyUKJyFGLE6aNAkVFRW+db1ef0J5OMdi13X/ZVEUsXPnTpx77rnQ6XQx85owxhhjjDHGORbjMea26/Dj4/dg6MMrUFok9jmn1db5b15enixzLAIA7v558aWXXkJpaSmqqqpC5uMci5xjkYiIiPqXhOh+1+v1KCgo8P1kZmYqXaSE1NbWhgULFqCtrU3pohAREcU9ldaFAdPegkrrUrooQXnsHhx87CA8dg86Ojpwxx13wGw2K10sIiIiIoohCTFicevWrcjLy0NmZiZ+/etf4/HHH0d2dnav83COxe7nWASANWvWQBRF37ZYeX0YY4wxxhjjHIvxF/MAuT+ivQkQ1H3PefTYYLmjR48iJSUl9AHo4RyLTgmuAS7U1tfCKlrhdDpRU1MT9A+MnGOxE+dYJCIiov4m7kcsTpo0CS+88AK2bNmCpUuXYtu2bZg8eXK3cwA5HA6YzeaAHwpPFEVs3boVohj6cS0iIiLqGY9Dj6bFf4LHcWJTuESaoBWQMikFglaAwWDAY489htTUVKWLRUREREQxJK5GLK5duxa33367b/29997DtGnTfOvDhw/HiBEjMGTIEGzduhXjxo0Lmmfx4sVYuHBhwLb77ruPcywGWfdfbmpqwpo1azBx4kTk5OTEzGvCGGOMMcYY51iMx5jkdiLr7peQMsApS06551h029w4+OhBDHp0ECxOC+699168/vrr3ebjHIucY5GIiIj6l7jqWCwvL8eoUaN868FumgcPHoycnBwcOHAgZMfivHnzMHv2bN+62WzGk08+KX+BE0xOTg4++OADpYtBRESUEAS1B4ayqvA7KkTQCMi4OAOCRoDao0ZWVhbUarXSxSKiGGM+WgdtUnLAtvbmbuZv6IN4yxvJ3MwbmbyiTYDNrIG9o963zdzogq5D6lNeucsZ6/kikZP55MvntNtkzR1XHYtpaWlIS0vrdp/Dhw+jubkZhYWFIffR6/Vdvjna4/FwjsUwcyyKooiNGzdi0qRJ0Ol0USsXY4wxxhhj8sc4x6LyMY9dj+YlDyP7occBOGJujkUAwJlA3dE6AMADDzyAlpaWHs+nyDkWiYiIiBJfXHUsHq+jowMLFy7E1KlTUVBQgMrKSjz44IMoKyvDxIkTe5WL8waGZ7Va8cYbb+Ciiy7ydSwSERHRiRF0IjLvfAaCLjbvQSSHhNalrcicm4l2Rzvmz5+P559/XuliEVGMMeYVQpccfE6N9PzQ0zL0RbzljWRu5pU3r8MiINmo9a0nG0+CMdcJvaFvIxa95K5/rOeLRE7m63s+0WaRNWdcdyyq1Wrs2bMHa9asgclkQlFRESZMmIBFixZ1GZHYE5xjseu6//KAAQOwcePGqJaFMcYYY4yxyMQ4x2IsxCSgsEG2nHLPsSi5JBiuNSCjJANWhxWnnnoqBg8e3GUeQc6x+DPOsUhERET9TVx/K3RycjLef/99HD16FKIo4tChQ/jnP/+J/Px8pYuWkOx2O5577jnY7XbZc3tED+rW1MHtCP1t3kRERInEbdPjq5ufgNsmz7dCSy41foPfQHLKM6pC0AjIvDgTgqbzW6EXLVoUdkoaIiKiRKBySxj2vRkqt0fpohDFvLgesSg3zrHY/RyLZrMZb7/9NsaOHQuj0SjruT02D5pebELVVVWoN9WHOCp22oMxxhhjLN5jnGNR+ZjkEZH90OOoM4lQ1/Y9Z2OTBhMwAY11jTCkhxiG6j2mB3MseuwetC5sReaCTHSIHZg3bx4qKip8o13D5eMci0REFK9UHgnD9rWjeiQ7FonCYceiHz4K3XX9+Eeh33nnnYiUxW1xowlNKC4uhtoQ/BsnY6UNGGOMMcYSIebtHGppC3kYOiw/P17LmPwxSZIApwvo0KDD4oSlvfO2TNC4IDk1gCBB0LhhbtXC0u6BoHFDErWA2gNB3bncnuyG1eaBJOpgt6mQAiAnLQdFBUUQ1ALcFjdUSaqfl5NVKCkp6VxOUQFS5x/31AY1JLcEj/3nZbfVjfR70pE2MA02hw2jR49GWVkZmpubA+rFR6F/xkehiYiIqL9hxyL1mNVqxYoVK3DPPfeE/bZJIiKKbVlZWQCAP/1d4YL0Y2qosQSP4kt8iXVYh0sxGQDwFt7CVbgcbWjDJmzC9fgdqlGN7diOW3AT9mAPPsfnuBu3YyW2Yw/24AHcg43YiBkA7MvssD5mheF0A/ZO34uhTw9F8sBk7LlsD4a9MgyuHBf2XLYHI94YAbfVjW+nf4uRm0fCXmPHj/f+iDPfPBPWfVYcfOwgzlh3BgAgJSUFc+fORWpqapeORSIiIiLqv9ix6IePQod/FHrHjh0oLy+PyKPQAFBTU8NHoRljjDHGohT7+9//Dp1OF/Lxzby8PMYiHLO6rDhNOg3PDXgOR490xs7RngM4AQjAhZoLkZuRi5ObTsY4zThABIpVxZiimQKIwB2Fd6CxuRFwANe4rwGWAhmPZqA1tRWmIyZk/S0LzepmCEcE5KzMwVH7UWibtchZmYO61jpAAnJW5uDIkSOQ1BKy/pbVuZwqIf3x9IB7gDlz5uCll17io9B8FJqIiIjIhx2L1GNGoxHPPvus0sUgIiKZZGRkYMCAASFHoTMWOzHDkeBzJvrHPDYPmtDke/QZAFTJP39Pn3dZEISftwuAkNy5r6ASfl5W/7wMADqdDmPHjkVycnLQjkUiIiIi6p/YseiHcyx2XfdftlgsWLJkCR566CEYDAbOscgYY4wxxhhjMRTzfpYWFRaF/CwNl687f/jDH1BaWoqqqqqQ+TjHIudYJCIiov5FFX4Xok5OpxP79++H0+lUuihEREQURS0tLZg8eTIaGxuVLgoRERERxRCOWPTDORa7n2MRAP7617/CYrHAYrHIem7OscgYY4wxxhhjfYt5P0tr62oDHoHubb5gRFFEeXk5TCZT0M5FzrHYiXMsEhERUX/DEYvUY1arFX/5y184txIREVE/o9PpUF5eDp1Op3RRiIiIiCiGcMSiH86x2HXdf9lsNsNisSA/Px9Go5FzLDLGGGOMMcZYDMUiOcdiU1MTrr32Wmzfvh0DBgwImY9zLHKORep/zEfroE1KDtjW3twQkXPFW95I5mbeyOQVbQJsZg3cls68tvZamBs90HVIfcordzljPV8kcjKffPmcdpusudmxSD1mNBqxevXqiOQWNAKyJ2dDpeUgWiIiohPh/SwVNEL4nXvJaDTivvvuQ3p6Oux2u+z5iYiIYolHAPYXCZBU8n+mEiUadiz64RyL3c+xaLFY8Oc//xmzZs1Cbm4uOjo6UFtbC4PBgI6ODqhUKqSkpPhGNppMJpjNZuh0OiQlJfmWAeDbb79FSkoKdDodWltbYTAYoJumw1d7v4LVaoVGo0FLSwuMRiNUKhVMJhM8Hg9qampgNpuRlZUFl8vlWxZFET/++CMyMzMhiiKsVisyMjJgt9vR2toKq9UKu90OURRhNBphtVrhcrkAAPv374fH40Fqaqpv7kiDwQCz2YyGhgZfnTQajW/ZarWitbU1oH4mkwkpKSkAgL1793bWSafz1UOj0aCxsRFWq9VXp4yMDHg8HpjNZgBAVVVVQJ0sFouvTvv37/fVyVsP//p56+Stn8fTOdfWjz/+6KuTfzt558ny1sm/nex2O5qbm3118m8nAPjmm298dfJvp8bGRtjtdl+d/NsJAA4ePBhQJ/92OnjwoK9O/u1kMplgsVh8dfJvJwDYt29fwLXnbafW1la0tLQEXHvedhJFEY2NjT9fe37t5F+/49upsbERoih2ufa85Tl48GBAnfzrUVVVFXDteZfNZjPa29sDrj1vOwHA999/H3DteevhX7/j28lbP/9rz7vs8Xjw7bffBlx73nby1u/4a887/UFlZWXAteddtlgsqK6uDrj2vO3U0dGBtra2Lu8RGo3GV7/j3yOSkpLQ0tKCtra2wPeIY+10fP3828nlcuH7778P+h7R1NQEh8PR5doTRbFL/fzbyWKx4PDhw13eIzo6OgLe645vp+Pr599OTU1NaG9v7/Ie0dLSApfLhbq6ui7vEd567Nu3L+h7REtLC2w2W5f3CG/99u/f3+U9IjU1Vf73cp3O917H93IF3ssv16GuqS5onXryHhGsTt52Gjp0KBoaGno8nyLnWCTqH4x5hdAlG4LG0vMHBN3eV/GWN5K5mVfevA6LgGSjFgDw1XlAsvEkGHOd0Bv6NmLRS+76x3q+SORkvr7nE22W8Dv2AoeHUY8JgoAjR45g6dKlAIA5c+b4lhctWoTly5cDAObPn48lS5YAAObNm4cXXnjBt/+GDRsAAA888AA2btwIAJg1axY++eQTAMD06dPx9ddf+7ZXV1fDZDJh1qxZaG5uRnV1NWbNmgUA+Prrr33LmzZt8i1v3LgRDzzwAABgw4YNuPHGGwEAL7zwAubNmwcA+Oc//4n58+cDAJYvX45FixYBAJYuXeqr07333htQp3/+85++Oq1YsaLHdZo1a5avTtOnTw+ok8lkClmnTz75xLe8fv36gDrNmTPHV6eZM2f2uE7+7XTHHXcE1Mm/nSoqKnpcJ/92mj59eo/r5N9OFRUVAXXyb6c77rijx3Xyb6eZM2eGvPbWr1/f4zr5t9P06dN7XCf/dlqxYkXIa+/ee+/tcZ382+nGG28Mee1t2rQpZJ2am5tDXnve+vWkTv7ttGTJkpDXnnf/ntTJv52uu+66kNfezp07Q7bTgQMHQl571157bY/r5N9OjzzySMhr75FHHulxnfzb6dprrw157R04cCDke8TOnTtDXnvXXXddj+vk3058L0/c9/ITeY8IVacvvvgCd955Z8AfdoiIiIiIBEmS5Ol6j2NmsxkPPvggrr/++i5zLFZVVQEIPo9ONGPROJf/erBloHPUotvthtFoRGZmJmpqapCamgqz2Qy1Wg2DwQCTyYTBgwejpaUFra2t0Ov1vhFkycnJOOWUU/DVV18hNTXVN3LHaDRCp9NBp9Oho6PDN+IlMzMTKpUKzc3N+MUvfoGDBw+itbUVubm5EEURbW1tyM3NRX5+Pr799lvk5ORAFEV0dHQgKysLdrsd2dnZvhFvDocDmZmZsFgscDqdOPPMM/Hdd9/56tTR0QEASE1NRXp6um8Uj8lkglarhcFgQGtrK8rKytDc3Oyrk3eEVWpqKk4++WR8+eWXvjo1NjYiPT3dVz/vKJfm5mZkZ2fD4/GgtbUV55xzDvbv3++rkyiKMJvNyMnJQX5+vm8Ult1uh81mQ2ZmJqxWK3Jzc33f1O10OpGRkeFrp+HDh+Pbb7/11cm/ndLS0lBfX++rk387DR061Dea5fh2Ovnkk/HFF1/46uTfTklJSb4Ri8e3k7d+3jr5t1Nubq5vlNLx7VRQUOAb0Xd8Ow0bNgzffPNNwLXnbSeDweAbxXN8O5122mloaGgIuPa87eStn/+1522nlJQU34i+49vp7LPPxv79+wOuPW87ZWdn48CBAwHXnredioqKfCP6jm+n008/HV9//XXAtedtJ4PBgObm5oBrz9tOw4YNQ0NDQ8C1522nQYMGYdeuXQHXnrceqampvvod304jR47Evn37Aq49bztlZWXhp59+Crj2vO1UXFzsGxF2fDudfvrp2L17d5f3iKSkJN9IrOPfIxobGzFixAjU1dV1eY/Izs5GcXExdu/e3eU94vgRfMe301lnnYXvv/++y3tERkYGsrKycOjQoS7vEWazGQMHDkRLS0uX9wi9Xo/TTjsNu3fv7vIecfzIv+Pb6ayzzkJNTU2X94jc3FwUFhZiz549Xd4jRFFERkaGb0Tf8e101lln4bvvvuvyHsH38sR+Lw927YV7jwhWJ289RFHEsGHDAu4Lgt03hLsHSeR7q6+++grXXHMN2trafKPgiRKV2WxGeno6bn7mjS4jFtsaOkf2yj3SJt7yRjI380Ymr8MioPILLWzmwwA6RywOOafvIxblLmes54tETuaTL59os+Dfd18m2/0KH4WmXvE+Cgt0zreUmprqW/bKyMhAWloaWlpakJmZ6dvuv5yVleVbzsnJ8S0XFhb6bthzc3N923Nzc6FSqaDRaHzbdTqdbzkpKcmXR6fT+fJ7t1ssFqSkpPgeb/Ovh/+ytz7eerS1tfmW/euRmpqK5ubmHtXJvx7B6qdSqYLWSafT+fIkJSUF1CkpKQkAkJKS4qtfT+rk305ZWVlob2/31cm/ft7XqSd1Cla/ntTJv51SUlJ8ZTi+nbzl7Emd/NvJ+7ocX7+srCzf69eTOvm3k7d+PamTfzulpqb6ynB8O3mvs57Uyb8e/vU7vp285w1Vj1DXnn/9wtXJv53S0tJ85Ty+nYxGI1pbW3tUJ//l3Nxc3yPYx7eT9zHcYPUL9R6h0+mQn5/vq1+4OvnXIy0tzVf+49vJ+17Xkzr5t1N+fr5vnrrj66HRaLptp1DXXm5uLqqqqnpUJ76X94/38lB16u49ors68RuhiYiIiOh4fBSaiIiIiIiIiIiIeo0di0RERERERERERNRr7FgkIiIiIiIiIiKiXmPHIhEREREREREREfUaOxaJiIiIiIhi0IYNGzBhwgRkZ2dDEATs3r077DHPP/88xowZg8zMTGRmZmL8+PH4/PPPA/aZMWMGBEEI+Jk0aVKEakFERImM3wrtp6SkBCUlJUFjZWVlIY+LZiwa5/Jfj5V6M8YYY4wxxhhjvYvJeUx3x4a7b1Dyniba5aivrw+5P9GJsFgsuPDCC3HNNdfg1ltv7dExW7duxfTp03HBBRcgKSkJS5cuxYQJE/Dtt99iwIABvv0mTZqEiooK37per5e9/ERElPjYsUgxwePyoHFHIwYPHKx0UYiIiOKS97M0d3QuVBo+lEKUCG644QYAwKFDh3p8zNq1awPW//Wvf+H//u//sGXLFtx4442+7Xq9HgUFBbKUkyjRCB4JeY0OtKdKSheFKOaxY9FPdXU1RFEM2FZVVRVy/2jGonEu//VQy5E6t9vixp6b9yDrrCzUttRG/HyMMcYYY4wxlmgx72fpiDdGQG1Qh9w/XL5wgh3b023hzh3v91Z1dXUhY0RKsVqtcDqdyMrKCti+detW5OXlITMzE7/+9a/x+OOPIzs7O2Qeh8MBh8PhWzebzRErM5HS1G4JF+9oxnulA5UuClHMY8ciERERERFRgpo7dy6Kioowfvx437ZJkybhyiuvxKBBg1BZWYk//vGPmDx5Mnbs2AG1OvgfJhYvXoyFCxd22W4+WgdtUnLAtvbmBnkrEad5I5mbeSOTV7QJsJk1cFs689raa2Fu9EDX0beRi3KXM9bzRSIn88mXz2m3yZqbHYt+OMdi1/Vo1c3Z7sQe7MHgIYOhTdNG/HyMMcYYY4wxlmgx72dpcXFxyM/ScPnC4RyL3cc4xyL1xdq1a3H77bf71t977z2MGTOmTzmXLFmCdevWYevWrUhKSvJtnzZtmm95+PDhGDFiBIYMGYKtW7di3LhxQXPNmzcPs2fP9q2bzWYUFxf3qXxERBT/2LFIRERERESksPLycowaNcq37v9FKyfiySefxJIlS7B582aMGDGi230HDx6MnJwcHDhwIGTHol6vD/oFL8a8QuiSDUGPSc/vWx1Cibe8kczNvPLmdVgEJBu1cDo9AOqQnFYEY64EvUGeuRblrn+s54tETubrez7RZpE1JzsWiYiIiIiIFJaWloa0tDRZci1btgx//vOf8f777+Occ84Ju//hw4fR3NyMwsJCWc5PRET9BzsWj9HpdPzyFoW/vAUAfqr8iV/ewhhjjDHGGGMnEPN+ltbU1PDLWxQqB7+8heTW0tKC6upq1NZ23h/v27cPAFBQUOD7Rucbb7wRAwYMwOLFiwEAS5cuxfz58/Hyyy9j4MCBvkf0U1NTkZqaio6ODixcuBBTp05FQUEBKisr8eCDD6KsrAwTJ05UoJZERBTPVEoXIFaoVHwpiIiIiIgodrz55psYOXIkpkyZAqBzbsSRI0di5cqVvn2qq6sDOrWfe+45iKKIq666CoWFhb6fJ598EgCgVquxZ88elJeXY+jQoZg5cybOPvtsfPTRR0EfdSYiIuoORyz64Ze3dF3nl7cwxhhjjDHGWHzE+OUtyt9b8ctbSG4zZszAjBkzut1n69atAeuHDh3qdv/k5GS8//77fSsYERHRMRymd4zdble6CERERERERERERHGDHYtERERERERERETUa+xYpJggqASklaVBUAlKF4WIiCgu8bOUiIhIJgLQlqaBJPAzlSgczrFIMUFj0GDce+OgS9UpXRQiIqK45P0sJSIior5xaVR4f1w+krVqAB6li0MU09ix6Ke6uhqiKAZsq6qqCrl/NGPROJf/eqhlJcrFGGOMMcYYY4ydWEzOY7o7tqfbwp073u+t/L+Zl4iIiKg/4KPQRERERERERERE1GscseinpKQEJSUlQWNlZWUhj4tmLBrn8l+PlXozxhhjjDHGGGO9i8l5THfHhrtvUPKeJtrlqK+vD7k/ERERUSJixyIRERERERGdEPPROmiTkgO2tTc3RORc8ZY3krmZNzJ5RZsAm1kDe8fPfygyN7qg65D6lFfucsZ6vkjkZD758jntNllzx9Sj0IIgBP154oknQh7z6KOPdtn/1FNPjWKpiYiIiIiIiIiI+p+YGrF4/ITX7733HmbOnImpU6d2e9ywYcOwefNm37pGE1PVIiIiIiIiSkjGvELokg1BY+n5AyJyznjLG8nczCtvXodFQLJR61tPNp4EY64TekPfRix6yV3/WM8XiZzM1/d8os0ia86Y6oErKCgIWH/jjTfwq1/9CoMHD+72OI1G0+VYIiIiIiIiIiIiipyY6lj019DQgHfeeQdr1qwJu+/+/ftRVFSEpKQkjB49GosXLw75JSwA4HA44HA4fOtmsxkAUF1dDVEUA/atqqoKmSeasWicy3891LIS5WKMMcYYY4wxxk4sJucx3R3b023hzh3v91bHP31DRERElOhiao5Ff2vWrEFaWhquvPLKbvcbNWoUVq9ejY0bN+K5557DwYMHMWbMGLS3t4c8ZvHixUhPT/f9FBcXy118IiIiIiIiIiKihKbYiMW1a9fi9ttv962/9957GDNmjG/93//+N6677jokJSV1m2fy5Mm+5REjRmDUqFEoLS3Fa6+9hpkzZwY9Zt68eZg9e7Zv3Ww24/HHH0dJSUnIkY5lZWUhyxDNWDTO5b8erbpJkgRXhwtDhgyJyvkYY4wxxhhjLNFi3s9STaoGgiCcUL5wgh0b7r5ByXuaaJejvr4+yJ5ERBR3JAkalwRI8sytSJTIFOtYLC8vx6hRo3zrAwb8PCHlRx99hH379uHVV1/tdd6MjAwMHToUBw4cCLmPXq+HXq/vdW6KHFeHC+/84h0Mbut+Pk0iIiIKzvtZOmXXFGjTtOEPICIioqA0LglXvlOH96YVKV0UopinWMdiWloa0tLSgsZWrVqFs88+G2eeeWav83Z0dKCyshI33HBDX4tIREREREREREREIcTcHItmsxnr16/HLbfcEjQ+btw4PPPMM771OXPmYNu2bTh06BA++eQTXHHFFVCr1Zg+fXq0ikxERERERERERNTvxNy3Qq9btw6SJIXsGKysrERTU5Nv/fDhw5g+fTqam5uRm5uLCy+8EJ9++ilyc3OjVWQiIiIiIiIiIqJ+J+Y6Fm+77TbcdtttIeOHDh0KWF+3bl2ES0RERERERERERETHi7mORSVVV1dDFMWAbVVVVSH3j2YsGufyXw+1HKlzuy1uAMBPlT+htqU24udjjDHGGGOMsUSLeT9La2pqoDaoQ+4fLl84wY7t6bZw5473e6u6urqQMSIiIqJEFHNzLBIREREREREREVHs44hFPyUlJSgpKQkaKysrC3lcNGPROJf/erTq5mx3Yg/2YPCQwdCmaSN+PsYYY4wxxhhLtJj3s7S4uDjkZ2m4fOEEOzbcfYOS9zTRLkd9fX3I/YkSlfloHbRJyQHb2psbInKueMsbydzMG5m8ok2AzayB29KZ19ZeC3OjB7oOqU955S5nrOeLRE7mky+f026TNTdHLBIREREREREREVGvccQiERERERERnRBjXiF0yYagsfT8ARE5Z7zljWRu5pU3r8MiINmohdPpAVCH5LQiGHMl6A19G7HoJXf9Yz1fJHIyX9/ziTaLrDk5YpGIiIiIiIiIiIh6jR2LFBM0qRpM2TUFujSd0kUhIiKKS97PUk0qH0ghIiLqC5dGwIYphXBp1UoXhSjm8c7TT3V1NURRDNhWVVUVcv9oxqJxLv/1UMuRLpe2UhszrzljjDHGGGOMxWWsJeSuPcp3Isf2dFu4c8f7vVVdXV3IGBERxRFBgEsrQCsISpeEKOZxxCIRERERERERERH1Gkcs+ikpKUFJSUnQWFlZWcjjohmLxrn812Ol3owxxhhjjDHGWO9ich7T3bHh7huUvKeJdjnq6+tD7k9ERESUiDhikYiIiIiIiIiIiHqNHYvHqFR8KYiIiIiIiIiIiHqKvWnH6HT8NmIiIiIiIiIiIqKeYsciERERERERERER9Rq/vOUYURRRXV0NURQDtldVVYU8JpqxaJzLfz3UshLlYowxxhhjjDHGTiwm5zHdHdvTbeHOHe/3VnV1dSFjRERERImIIxaP8Xg8SheBiIiIiIiIiIgobnDEop+SkhKUlJQEjZWVlYU8LpqxaJzLfz1W6s0YY4wxxhhjjPUuJucx3R0b7r5ByXuaaJejvr4+5P5EkbJhwwasXLkSX375JVpaWvDVV1/hrLPO6vaY1atX4/e//33ANr1eD7vd3uvzm4/WQZuUHLCtvbmh13l6It7yRjI380Ymr2gTYDNrYO/4+f3c3OiCrkPqU165yxnr+SKRk/nky+e022TNzRGLFBNcFhe2TN4CsUMMvzMRERF14f0sdVlcSheFiKLIYrHgwgsvxNKlS3t1nNFoRF1dne+nL1MkECUajUtC+Q43NC4+2UgUDkcsUkyQPBLaD7RD8vTtL0FERET9FT9LifqnG264AQBw6NChXh0nCAIKCgr6fH5jXiF0yYagsfT8AX3Onwh5I5mbeeXN67AISDZq4XR6kGGpQ3JqEYy5EvQGeT5b5a5/rOeLRE7m63s+0WaRNSdHLBIREREREfUzHR0dKC0tRXFxMS677DJ8++233e7vcDhgNpsDfoiIiNixSERERERE1I+ccsop+Pe//4033ngDL730EjweDy644AIcPnw45DGLFy9Genq676e4uDiKJSYioljFR6H9VFdXQxQD5/jrbq6RaMaicS7/9VDLkTq32+IGAPxU+RNqW2ojfj7GGGOMMcYYS7SY97O0pqYGaoM65P7h8oUT7Niebgt37ni/t6qrqwsZI5LD2rVrcfvtt/vW33vvPYwZM6bXeUaPHo3Ro0f71i+44AKcdtpp+Mc//oFFixYFPWbevHmYPXu2b91sNrNzkYiI2LFIREREREQUD8rLyzFq1Cjf+oAB8sy9pdVqMXLkSBw4cCDkPnq9Hnq9XpbzERFR4mDHop+SkhKUlJQEjZWVlYU8LpqxaJzLfz1adXO2O7EHezB4yGBo07QRPx9jjDHGGGOMJVrM+1laXFwc8rM0XL5wgh0b7r5ByXuaaJejvr4+5P5EckhLS0NaWprsed1uN7755htccsklsucmIqLExo5FIiIiIiKiONXS0oLq6mrU1nZOJ7Rv3z4AQEFBge9bn2+88UYMGDAAixcvBgA89thjOP/881FWVgaTyYQnnngCVVVVuOWWW5SpBBERxS1+eQsREREREVGcevPNNzFy5EhMmTIFADBt2jSMHDkSK1eu9O1TXV0dMAdoa2srbr31Vpx22mm45JJLYDab8cknn+D000+PevmJiCi+ccQiERERERFRnJoxYwZmzJjR7T5bt24NWH/qqafw1FNPRa5QRETUb3DEIhEREREREREREfUaRyz6qa6uhiiKAduqqqpC7h/NWDTO5b8eajlS55bcEoYsHoKq2irUHKmJ+PkYY4wxxhhjLNFi3s/SI41HILQIIfcPly+cYMf2dFu4c8f7vZX/o6ZERBS/3GoB20Znw61RA3ApXRyimMYRixQTBLUA47lGqDS8JImIiE6E97NUUHffqUhERETdk1QCGvKTIKn4mUoUDkcs+ikpKUFJSUnQWFlZWcjjohmLxrn812Ol3owxxhhjjDHGWO9ich7T3bHh7huUvKeJdjnq6+tD7k+UiFRQoerjj5CsToHTJULQaaBxq2BuOwpBq0F7SiVEtwNqnRZqQQ27VoRKr4NaFOCUHFDp9VCLEkRJhCYpCSq7B6IgQiPooDG74VQ5odHqITg8cKpdcNqsUIkeNKd/D61aB4huOLUeqNKSIDlccGs80Kh08Dhd8GgkaAQtPKITHi06lx0OCE5AAw08Tic8WgFaaNDR2ghJq0K7IRtOtwhBq4bGo4Zd74Sg10LjVsPpckDQa44t26HS66BxqSB6Opd1bRJElwNqvQ5qEXBIIrRJeojNrXBARFtWfmc9VE4IqUkQPBKcKhc0Gj0E0Q2n2t1ZJ4cLTo0HWrUOksMFye2G1qOBR/Srk9MFi90ELTQwJf0Aj1aABhq4BRfcBjU0kgYupwjoVNBIms62OVYnp9sBQaeBzibAZbND0Gmhcat87eRsa4fotsOUnQe1ExA9ItQpekAtdG0nXRIEhxtOwQWNTt+5DCf0ojawTqIb7bYWaFRatOn3wa2RoFFp4RFdcGaouraT6ISkE6CGBh5RhHSsHlKbDdCooZHUvnZytnXA5XagNSsHGrfqWP20EHRqOCWxSzsFu/b0kg4qixsOwQkBSbDuBzocjVCrdZA0+1BlFZGU3FknMdkDdXJSl3YKdu2hQ4QECRpoYGlthqSRYE7LCbj2XC4R0KihVmvg0Li6tFPQa0+lgeeouWs7HXftqeweONQuqDKSu7bTcdees6MdcHjQrO/83ZJEV0A7+V97Hm3n75BT64KkV3dpJ++1J5rMcLtFNGXnQm8R4BQdvvcIbzv5X3satwoOtwMw6qGWVF3aSXRYoLZLOJrxg+/ac4sitILO9x6hUeu6XHveZQ/ccCbD104dlmZoBA2aD+zvcu1pRRUki9ilnfyvPY1H3fm7layFoNOgraUOKp0GpkOHgr5HqEUBTpcdWo+2azsJTmh1et97hEarh6O5FbZUJ9KyCrt9j/Bee0KrI2g7ea83V3sH3C4XWjIz4FF5ZP0sYMciERERERER9Voa0rBl3ZO4HtdjAzbACituwS14H2vghBN34278L/4XHnjwAB7AX/FXAMAczMGTeLLLsncfPfS4BbfgWTyLdKTjalyNf+FfyEc+xmIsXsUzKEUphmEYPsC7GIqhKEQhtmEbRmAE9NBjJ3biPJwHK6zYi724CBfhCI6gEpX4DX6D7/AdjuAILsWl+BafohGNuApX4SNsQhvautRpTZ/qtKIHdXrVV6ctvajToRB1+sKvTpt6Xad/yNROP9dpuwzt9GnE28m/Tv/7c52+7Hs7harTl351+jgG2uldGerUt2uvJ+20uFd1Cvce0dLLdgp17W2O+Pte36+9H/zqJCd2LBIREREREVGvvVXRDl0yoHK/iltFN5JSAMG5BteLbiQbAMH5D0wVJRgMgCSuwG9dAlINEtz2pzHFLSAtVYLT8jR+KwFpaYCjYwUuBZBqcMDR8TyuUQOGJDMclhdwkwZI1h2Fw/I67tEBem0NHNY6/FEL6LUHYLcchKAH9Oq9cNhUEHSATvUl7DYB6iRAK/x/sNkFaJMADf4Lmw3QJgNq6T3Y7BL0yYDK8x/cK3pYJ9aJdWKdEr5Ob10r32cBOxaJiIiIiIio18ac732czum3NdSyeILLUohlz3HLniDLbr98oZZdIZZZJ9aJdWKdgMSvU9/xmzKIiIiIiIiIiIio1zhi0U91dTVEUQzYVlVVFXL/aMaicS7/9VDLSpSLMcYYY4wxxhg7sZicx3R3bE+3hTt3vN9b1dXVhYwRERERJSKOWCQiIiIiIiIiIqJe44hFPyUlJSgpKQkaKysrC3lcNGPROJf/eqzUmzHGGGOMMcYY611MzmO6OzbcfYOS9zTRLkd9fX3I/YmIiIgSUUyPWNywYQMmTJiA7OxsCIKA3bt3d9nHbrfjrrvuQnZ2NlJTUzF16lQ0NDREv7BERERERERERET9SEx3LFosFlx44YVYunRpyH1mzZqFt956C+vXr8e2bdtQW1uLK6+8MoqlJDm47W589cev4LQ5w+9MREREXXg/S912d/idiYiIiIhkENOPQt9www0AgEOHDgWNt7W1YdWqVXj55Zfx61//GgBQUVGB0047DZ9++inOP//8aBWV+sjj9KBqfRU8//KE35mIiIi68H6WnjHvDKiT1EoXh4iIiIj6gZgesRjOl19+CafTifHjx/u2nXrqqSgpKcGOHTtCHudwOGA2mwN+iIiIiIiIiIiIqOdiesRiOPX19dDpdMjIyAjYnp+f3+3k2YsXL8bChQsDtt1+++2orq6GKIoB26uqqkLmiWYsGufyXw+1HKlzuy2dj239VPkTaltqI34+xhhjjDHGGEu0mPeztKamBmpD9yMWu8sXTrBje7ot3Lnj/d6qrq4uZIyIiIgoEcXMiMW1a9ciNTXV9/PRRx9F7Fzz5s1DW1ub76empiZi5yIiIiIiIiIiIkpEMTNisby8HKNGjfKtDxgwIOwxBQUFEEURJpMpYNRiQ0MDCgoKQh6n1+uh1+u7bC8pKUFJSUnQY8rKykLmi2YsGufyX49W3ZztTuzBHgweMhjaNG3Ez8cYY4wxxhhjiRbzfpYWFxeH/CwNly+cYMeGu29Q8p4m2uXo7okZIiIiokQUMx2LaWlpSEtL69UxZ599NrRaLbZs2YKpU6cCAPbt24fq6mqMHj26V7mSkpJ6tT8REREREREREVF/FjMdi8G0tLSguroatbWdc+7t27cPQOdIxYKCAqSnp2PmzJmYPXs2srKyYDQacc8992D06NH8RmgiIiIiIiIiIqIIipk5FoN58803MXLkSEyZMgUAMG3aNIwcORIrV6707fPUU0/ht7/9LaZOnYqLLroIBQUF2LBhQ6/P5fF4ZCs3ERERERERERFRoovpEYszZszAjBkzut0nKSkJzz77LJ599tk+nev4b4MmIiIiIiIiIiKi0GK6YzFaJEmCWq3GV199herq6oBYXV0dgOCTcUczFo1z+a8HWz6enDG3zQ1bpg07duxAo7kx4udjjDHGGGOMsUSLeT9Lv/7ma6iT1UH3D5cvnGDHHn/f4KXkPU1PYpE4l3faHkmSusSIEg2vcyKi+CbX+7gg8RMBhw8fRnFxsdLFICIiIqIEUFNTg5NOOknpYhBF1E8//YQhQ4YoXQwiIjpBlZWVGDx4cJ/zcMQigKKiItTU1CAtLQ2CIChdnABmsxnFxcWoqamB0WhUujj9EttAeWyD2MB2UB7bQHlsA+XFchtIkoT29nYUFRUpXRSiiMvKygIAVFdXIz09XeHS9Fwsv4d0h+WOLpY7ulju6Gpra0NJSYnvfbyv2LEIQKVSxfxflY1GY1xdqImIbaA8tkFsYDsoj22gPLaB8mK1DeKpg4WoL1Sqzu8BTU9Pj8nfxXBi9T0kHJY7ulju6GK5o8v7Pt7nPLJkISIiIiIiIiIion6FHYtERERERERERETUa+xYjHF6vR4LFiyAXq9Xuij9FttAeWyD2MB2UB7bQHlsA+WxDYhiQ7z+LrLc0cVyRxfLHV0sdyd+KzQRERERERERERH1GkcsEhERERERERERUa+xY5GIiIiIiIiIiIh6jR2LRERERERERERE1GvsWIwhGzZswIQJE5CdnQ1BELB79+4u+4wdOxaCIAT83HHHHdEvbILqSRvY7XbcddddyM7ORmpqKqZOnYqGhoboF7YfmTFjRpfrftKkSUoXq1959tlnMXDgQCQlJWHUqFH4/PPPlS5Sv/Loo492+R049dRTlS5WQtu+fTsuvfRSFBUVQRAE/Oc//wmIS5KE+fPno7CwEMnJyRg/fjz279+vTGETVLg24GcDUXSE+13syf1zLJfl+eefx5gxY5CZmYnMzEyMHz++y32O3O83kajH6tWru5QxKSnphMsYqXIG+/+sIAiYMmWKb59ovr93V0en04m5c+di+PDhMBgMKCoqwo033oja2tq4KcvixYtx7rnnIi0tDXl5ebj88suxb9++gH3k7mOIRD0icS8ciXIOHDgw6PV91113+faJZp9OuN/hRx99FKeeeioMBoPv/e+zzz7r9XnYsRhDLBYLLrzwQixdurTb/W699VbU1dX5fpYtWxalEia+nrTBrFmz8NZbb2H9+vXYtm0bamtrceWVV0axlP3TpEmTAq77V155Reki9RuvvvoqZs+ejQULFmDXrl0488wzMXHiRBw9elTpovUrw4YNC/gd+Pjjj5UuUkKzWCw488wz8eyzzwaNL1u2DE8//TRWrlyJzz77DAaDARMnToTdbo9ySRNXuDYA+NlAFA3hfhd7+n+YWC3L1q1bMX36dHz44YfYsWMHiouLMWHCBBw5ciRgPznfbyL1mhqNxoAyVlVVnXAZI1XODRs2BJRx7969UKvVuPrqqwP2i9b7e3d1tFqt2LVrFx555BHs2rULGzZswL59+1BeXh43Zdm2bRvuuusufPrpp9i0aROcTicmTJgAi8USsJ+cfQyRek3lvheORDl37twZUMZNmzYBQJfrO1p9OuF+h4cOHYpnnnkG33zzDT7++GMMHDgQEyZMQGNjY+9OJFHMOXjwoARA+uqrr7rELr74Yum+++6Lepn6m1BtYDKZJK1WK61fv9637fvvv5cASDt27IhyKfuPm266SbrsssuULka/dd5550l33XWXb93tdktFRUXS4sWLFSxV/7JgwQLpzDPPVLoY/RYA6fXXX/etezweqaCgQHriiSd820wmk6TX66VXXnlFgRImvuPbQJL42UCkhGC/i17d/R8mnsricrmktLQ0ac2aNb5tkXy/kaseFRUVUnp6uqxl8xep1/upp56S0tLSpI6ODt82pd7fu6uj1+effy4BkKqqquKyLEePHpUASNu2bfNti2Qfg1z1iPS9cKRe7/vuu08aMmSI5PF4fNuU6tPpSR3b2tokANLmzZt7lZsjFuPQ2rVrkZOTgzPOOAPz5s2D1WpVukj9xpdffgmn04nx48f7tp166qkoKSnBjh07FCxZ4tu6dSvy8vJwyimn4M4770Rzc7PSReoXRFHEl19+GXDNq1QqjB8/ntd8lO3fvx9FRUUYPHgwrrvuOlRXVytdpH7r4MGDqK+vD/i9SE9Px6hRo/h7EWX8bCAiuVmtVjidTmRlZQVsj4f3m46ODpSWlqK4uBiXXXYZvv32W6WLFNaqVaswbdo0GAyGgO2x+nq3tbVBEARkZGQoXZQTKktbWxsAdLm+lexj6Gk9lL4X7u3rLYoiXnrpJdx8880QBCEgFot9OqIo4p///CfS09Nx5pln9upYTYTKRBFy7bXXorS0FEVFRdizZw/mzp2Lffv2YcOGDUoXrV+or6+HTqfr8maSn5+P+vp6ZQrVD0yaNAlXXnklBg0ahMrKSvzxj3/E5MmTsWPHDqjVaqWLl9CamprgdruRn58fsD0/Px8//PCDQqXqf0aNGoXVq1fjlFNOQV1dHRYuXIgxY8Zg7969SEtLU7p4/Y73/T7Y7wU/C6KHnw1EFAlz585FUVFRwB+P4uH95pRTTsG///1vjBgxAm1tbXjyySdxwQUX4Ntvv8VJJ52kdPGC+vzzz7F3716sWrUqYHusvt52ux1z587F9OnTYTQaFSvHiZbF4/Hg/vvvxy9/+UucccYZvu1K9jH0tB5K3wufyOv9n//8ByaTCTNmzAjYHmt9Om+//TamTZsGq9WKwsJCbNq0CTk5Ob3KwY5Fhaxduxa33367b/29997DmDFjwh532223+ZaHDx+OwsJCjBs3DpWVlRgyZEhEypqoTrQNKLKCtcu0adN868OHD8eIESMwZMgQbN26FePGjVOimERRNXnyZN/yiBEjMGrUKJSWluK1117DzJkzFSwZkXL42UBEcluyZAnWrVuHrVu3BnzxSTy834wePRqjR4/2rV9wwQU47bTT8I9//AOLFi1SsGShrVq1CsOHD8d5550XsD0WX2+n04lrrrkGkiThueeeU6QMfS3LXXfdhb1793aZm1CpPobe1EPJe+ETfb1XrVqFyZMno6ioKGB7rPXp/OpXv8Lu3bvR1NSE559/Htdccw0+++wz5OXl9TgHH4VWSHl5OXbv3u37Oeecc04oz6hRowAABw4ckLN4/cKJtEFBQQFEUYTJZArY3tDQgIKCggiVtH/pSbsMHjwYOTk5vO6jICcnB2q1uss3n/OaV1ZGRgaGDh3K3wGFeK99/l7EFn42EFFfPPnkk1iyZAk++OADjBgxott94+H9RqvVYuTIkTFbRovFgnXr1vWoU0jp19vbsVRVVYVNmzYpOlrxRMty99134+2338aHH34YdgRrNPoY+vqaRute+ETLWVVVhc2bN+OWW24Ju6/SfToGgwFlZWU4//zzsWrVKmg0mi6jiMNhx6JC0tLSUFZW5vtJTk4+oTy7d+8GABQWFspYuv7hRNrg7LPPhlarxZYtW3zb9u3bh+rq6oC/ENKJ60m7HD58GM3Nzbzuo0Cn0+Hss88OuOY9Hg+2bNnCa15BHR0dqKys5O+AQgYNGoSCgoKA3wuz2YzPPvuMvxcK4mcDEZ2oZcuWYdGiRdi4cWOPBhvEw/uN2+3GN998E7NlXL9+PRwOB66//vqw+yr5ens7lvbv34/NmzcjOzs76mXoS1kkScLdd9+N119/Hf/9738xaNCgsMdEuo9Bjtc0GvfCfSlnRUUF8vLyMGXKlLD7xlqfjsfjgcPh6NUxfBQ6hrS0tKC6uhq1tbUAOjusgM6REQUFBaisrMTLL7+MSy65BNnZ2dizZw9mzZqFiy66KOxf1ahnwrVBeno6Zs6cidmzZyMrKwtGoxH33HMPRo8ejfPPP1/Joiesjo4OLFy4EFOnTvX9Hjz44IMoKyvDxIkTlS5evzB79mzcdNNNOOecc3Deeedh+fLlsFgs+P3vf6900fqNOXPm4NJLL0VpaSlqa2uxYMECqNVqTJ8+XemiJayOjo6AvxwfPHgQu3fvRlZWFkpKSnD//ffj8ccfx8knn4xBgwbhkUceQVFRES6//HLlCp1gumuDrKwsfjYQRUm498Nw98+xVpYbb7wRAwYMwOLFiwEAS5cuxfz58/Hyyy9j4MCBvrlyU1NTkZqaGpF70UjU47HHHsP555+PsrIymEwmPPHEE6iqqurRiKloltNr1apVuPzyy7t01kT73r+7OhYWFuKqq67Crl278Pbbb8Ptdvuuj6ysLOh0upgry7hx43DFFVfg7rvvBtD5+PPLL7+MN954A2lpab5j0tPTkZycHJE+hkjUIxL3wpEoJ9DZMVdRUYGbbroJGk1gl1u0+3S6q2N2djb+/Oc/o7y8HIWFhWhqasKzzz6LI0eO4Oqrr+7diU7si6opEioqKiQAXX4WLFggSZIkVVdXSxdddJGUlZUl6fV6qaysTPrDH/4gtbW1KVvwBBKuDSRJkmw2m/Q///M/UmZmppSSkiJdccUVUl1dnXKFTnBWq1WaMGGClJubK2m1Wqm0tFS69dZbpfr6eqWL1q+sWLFCKikpkXQ6nXTeeedJn376qdJF6ld+97vfSYWFhZJOp5MGDBgg/e53v5MOHDigdLES2ocffhj08+Cmm26SJEmSPB6P9Mgjj0j5+fmSXq+Xxo0bJ+3bt0/ZQieY7tqAnw1E0RPu/bAn98+xVJaLL77Yt78kSVJpaWm3x0Ti/SYS9bj//vt992r5+fnSJZdcIu3ateuEyxipckqSJP3www8SAOmDDz7ocs5ov793V8eDBw8GjQGQPvzww5gsS2lpacDrH+qYiooKSZIi08cQiXpE4l44EuWUJEl6//33JQBB7wuj3afTXR1tNpt0xRVXSEVFRZJOp5MKCwul8vJy6fPPP+/1eQRJkiQQERERERERERER9QLnWCQiIiIiIiIiIqJeY8ciERERERERERER9Ro7FomIiIiIiIiIiKjX2LFIREREREREREREvcaORSIiIiIiIiIiIuo1diwSERERERERERFRr7FjkYiIiIiIiIiIiHqNHYtERERERERERETUa+xYJCIiIiIiIiIiol5jxyIRUT+3atUqTJgwQZFzP/TQQ7jnnnsUOTcRERER9T+89yWSlyBJkqR0IYiISBl2ux2DBw/G+vXr8ctf/jLq529qasLgwYOxe/duDB48OOrnJyIiIqL+g/e+RPLjiEUion7s//2//wej0ajIjRUA5OTkYOLEiXjuuecUOT8RERER9R+89yWSHzsWiYgSQGNjIwoKCvCXv/zFt+2TTz6BTqfDli1bQh63bt06XHrppQHbZsyYgcsvvxx/+ctfkJ+fj4yMDDz22GNwuVz4wx/+gKysLJx00kmoqKjwHXPo0CEIgoDXXnsNY8aMQXJyMs4991z8+OOP2LlzJ8455xykpqZi8uTJaGxsDDjfpZdeinXr1sn0ShARERFRouO9L1HsYMciEVECyM3Nxb///W88+uij+OKLL9De3o4bbrgBd999N8aNGxfyuI8//hjnnHNOl+3//e9/UVtbi+3bt+Nvf/sbFixYgN/+9rfIzMzEZ599hjvuuAO33347Dh8+HHDcggUL8PDDD2PXrl3QaDS49tpr8eCDD+Lvf/87PvroIxw4cADz588POOa8887D4cOHcejQIVleCyIiIiJKbLz3JYodnGORiCiB3HXXXdi8eTPOOeccfPPNN9i5cyf0en3QfU0mEzIzM7F9+3aMGTPGt33GjBnYunUrfvrpJ6hUnX9/OvXUU5GXl4ft27cDANxuN9LT0/Gvf/0L06ZNw6FDhzBo0CD861//wsyZMwF0/kV4+vTp2LJlC379618DAJYsWYLVq1fjhx9+8J3PbDYjPT0dW7duxcUXXxyR14WIiIiIEg/vfYmUp1G6AEREJJ8nn3wSZ5xxBtavX48vv/wy5I0VANhsNgBAUlJSl9iwYcN8N1YAkJ+fjzPOOMO3rlarkZ2djaNHjwYcN2LEiIBjAGD48OEB244/Jjk5GQBgtVrD1o+IiIiIyIv3vkTK46PQREQJpLKyErW1tfB4PGEfr8jOzoYgCGhtbe0S02q1AeuCIATd5vF4Qh4nCELQbccf09LSAqDzkRYiIiIiop7ivS+R8tixSESUIERRxPXXX4/f/e53WLRoEW655ZYufyH1p9PpcPrpp+O7776LYim72rt3L7RaLYYNG6ZoOYiIiIgofvDelyg2sGORiChB/OlPf0JbWxuefvppzJ07F0OHDsXNN9/c7TETJ07Exx9/HKUSBvfRRx/5vk2PiIiIiKgneO9LFBvYsUhElAC2bt2K5cuX48UXX4TRaIRKpcKLL76Ijz76CM8991zI42bOnIl3330XbW1tUSxtoHXr1uHWW29V7PxEREREFF9470sUO/it0ERE/dzVV1+NX/ziF5g3b17Uz/3ee+/hgQcewJ49e6DR8PvEiIiIiCiyeO9LJC+OWCQi6ueeeOIJpKamKnJui8WCiooK3lgRERERUVTw3pdIXhyxSERERERERERERL3GEYtERERERERERETUa+xYJCIiIiIiIiIiol5jxyIRERERERERERH1GjsWiYiIiIiIiIiIqNfYsUhERERERERERES9xo5FIiIiIiIiIiIi6jV2LBIREREREREREVGvsWORiIiIiIiIiIiIeo0di0RERERERERERNRr/z/dI3wuWayQ/gAAAABJRU5ErkJggg==",
       "text/plain": [
        "
"
       ]
@@ -390,7 +391,6 @@
     "    simulation=sim,\n",
     "    ports=[port_1_td, port_2_td],\n",
     "    freqs=freqs,\n",
-    "    verbose=True,\n",
     ")\n",
     "\n",
     "# Before running the simulations, we can view the mesh to get an idea of how the mesh overrides have performed.\n",
@@ -428,10 +428,55 @@
    "id": "d9476e25",
    "metadata": {},
    "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "
12:28:44 UTC Created task 'coupled_line_bandpass_filter' with resource_id       \n",
+       "             'sid-02147454-35c4-4f8e-802c-b7cb3c18aa56' and task_type 'RF'.     \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m12:28:44 UTC\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'coupled_line_bandpass_filter'\u001b[0m with resource_id       \n",
+       "\u001b[2;36m             \u001b[0m\u001b[32m'sid-02147454-35c4-4f8e-802c-b7cb3c18aa56'\u001b[0m and task_type \u001b[32m'RF'\u001b[0m.     \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
             View task using web UI at                                          \n",
+       "             'https://tidy3d.simulation.cloud/rf?taskId=pa-287f8eb5-9e8a-40a6-b0\n",
+       "             82-be5eba856e5c'.                                                  \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
+       "\u001b[2;36m             \u001b[0m\u001b]8;id=174020;https://tidy3d.simulation.cloud/rf?taskId=pa-287f8eb5-9e8a-40a6-b082-be5eba856e5c\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/rf?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=539658;https://tidy3d.simulation.cloud/rf?taskId=pa-287f8eb5-9e8a-40a6-b082-be5eba856e5c\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=174020;https://tidy3d.simulation.cloud/rf?taskId=pa-287f8eb5-9e8a-40a6-b082-be5eba856e5c\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=16260;https://tidy3d.simulation.cloud/rf?taskId=pa-287f8eb5-9e8a-40a6-b082-be5eba856e5c\u001b\\\u001b[32mpa\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=174020;https://tidy3d.simulation.cloud/rf?taskId=pa-287f8eb5-9e8a-40a6-b082-be5eba856e5c\u001b\\\u001b[32m-287f8eb5-9e8a-40a6-b0\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[2;36m             \u001b[0m\u001b]8;id=174020;https://tidy3d.simulation.cloud/rf?taskId=pa-287f8eb5-9e8a-40a6-b082-be5eba856e5c\u001b\\\u001b[32m82-be5eba856e5c'\u001b[0m\u001b]8;;\u001b\\.                                                  \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
             Task folder: 'default'.                                            \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=63618;https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "872c73842f504d20bd120f6b639e6ca6",
+       "model_id": "fbd00f666946410ebcc00b49a2657660",
        "version_major": 2,
        "version_minor": 0
       },
@@ -455,11 +500,45 @@
     {
      "data": {
       "text/html": [
-       "
19:32:20 CEST Started working on Batch containing 2 tasks.                      \n",
+       "
12:28:46 UTC Child simulation subtasks are being uploaded to                    \n",
+       "             - lumped_port_2: 'rf-4463a28a-12fd-4b2e-ac48-283cf128ee46'         \n",
+       "             - lumped_port_1: 'rf-d2183228-0ff1-4cb6-b2ad-4fce7d88b358'         \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m12:28:46 UTC\u001b[0m\u001b[2;36m \u001b[0mChild simulation subtasks are being uploaded to                    \n",
+       "\u001b[2;36m             \u001b[0m- lumped_port_2: \u001b[32m'rf-4463a28a-12fd-4b2e-ac48-283cf128ee46'\u001b[0m         \n",
+       "\u001b[2;36m             \u001b[0m- lumped_port_1: \u001b[32m'rf-d2183228-0ff1-4cb6-b2ad-4fce7d88b358'\u001b[0m         \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
12:28:47 UTC Validating component modeler and subtask simulations...            \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m12:28:47 UTC\u001b[0m\u001b[2;36m \u001b[0mValidating component modeler and subtask simulations\u001b[33m...\u001b[0m            \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
12:28:48 UTC Maximum FlexCredit cost: 0.304. Minimum cost depends on task       \n",
+       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
+       "             FlexCredit cost after a simulation run.                            \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m19:32:20 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m2\u001b[0m tasks.                      \n"
+       "\u001b[2;36m12:28:48 UTC\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.304\u001b[0m. Minimum cost depends on task       \n",
+       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
+       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
       ]
      },
      "metadata": {},
@@ -468,11 +547,11 @@
     {
      "data": {
       "text/html": [
-       "
19:32:23 CEST Maximum FlexCredit cost: 0.304 for the whole batch.               \n",
+       "
             Component modeler batch validation has been successful.            \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m19:32:23 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.304\u001b[0m for the whole batch.               \n"
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful.            \n"
       ]
      },
      "metadata": {},
@@ -481,13 +560,13 @@
     {
      "data": {
       "text/html": [
-       "
              Use 'Batch.real_cost()' to get the billed FlexCredit cost after   \n",
-       "              the Batch has completed.                                          \n",
+       "
12:28:49 UTC Subtasks status - coupled_line_bandpass_filter                     \n",
+       "             Group ID: 'pa-287f8eb5-9e8a-40a6-b082-be5eba856e5c'                \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
-       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
+       "\u001b[2;36m12:28:49 UTC\u001b[0m\u001b[2;36m \u001b[0mSubtasks status - coupled_line_bandpass_filter                     \n",
+       "\u001b[2;36m             \u001b[0mGroup ID: \u001b[32m'pa-287f8eb5-9e8a-40a6-b082-be5eba856e5c'\u001b[0m                \n"
       ]
      },
      "metadata": {},
@@ -496,7 +575,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "bd76e3d58af34d1daef6a68ac24419da",
+       "model_id": "6487a2faa9d745f9bb84a3a1e2247e54",
        "version_major": 2,
        "version_minor": 0
       },
@@ -510,11 +589,11 @@
     {
      "data": {
       "text/html": [
-       "
19:54:47 CEST Batch complete.                                                   \n",
+       "
12:29:32 UTC Modeler has finished running successfully.                         \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m19:54:47 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
+       "\u001b[2;36m12:29:32 UTC\u001b[0m\u001b[2;36m \u001b[0mModeler has finished running successfully.                         \n"
       ]
      },
      "metadata": {},
@@ -533,7 +612,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1539780dd2d2460a98542a9952fe942e",
+       "model_id": "839c5be9d8654c5cb6f5dc9c1656eee8",
        "version_major": 2,
        "version_minor": 0
       },
@@ -553,11 +632,25 @@
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
12:29:41 UTC loading component modeler data from ./cm_data.hdf5                 \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m12:29:41 UTC\u001b[0m\u001b[2;36m \u001b[0mloading component modeler data from .\u001b[35m/\u001b[0m\u001b[95mcm_data.hdf5\u001b[0m                 \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
     "# Run the jobs and save the scattering parameters\n",
-    "s_matrix = modeler.run()"
+    "modeler_data = web.run(modeler, task_name=\"coupled_line_bandpass_filter\")\n",
+    "s_matrix = modeler_data.smatrix()"
    ]
   },
   {
@@ -578,31 +671,7 @@
    "outputs": [
     {
      "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "fa82c62bdfcb455aba8de95a39438973",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -612,7 +681,7 @@
     }
    ],
    "source": [
-    "sim1 = modeler.batch.load()[\"smatrix_lumped_port_1\"]\n",
+    "sim1 = modeler_data.data[\"lumped_port_1\"]\n",
     "\n",
     "f, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(11, 3))\n",
     "sim1.plot_field(field_monitor_name=\"field\", field_name=\"Ez\", val=\"abs\", f=freq_stopband, ax=ax1)\n",
@@ -751,7 +820,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -776,8 +845,8 @@
     "    freqs / 1e9,\n",
     "    20 * np.log10(np.abs(ntw.s[:, 0, 0])),\n",
     "    \"-r\",\n",
-    "    s_matrix.f / 1e9,\n",
-    "    20 * np.log10(np.abs(s_matrix.isel(port_out=0, port_in=0).values.flatten())),\n",
+    "    s_matrix.data.f / 1e9,\n",
+    "    20 * np.log10(np.abs(s_matrix.data.isel(port_out=0, port_in=0).values.flatten())),\n",
     "    \"--b\",\n",
     ")\n",
     "ax1.legend([\"scikit-rf\", \"Tidy3D\"], loc=\"lower right\")\n",
@@ -790,8 +859,8 @@
     "    freqs / 1e9,\n",
     "    20 * np.log10(np.abs(ntw.s[:, 0, 1])),\n",
     "    \"-r\",\n",
-    "    s_matrix.f / 1e9,\n",
-    "    20 * np.log10(np.abs(s_matrix.isel(port_out=0, port_in=1).values.flatten())),\n",
+    "    s_matrix.data.f / 1e9,\n",
+    "    20 * np.log10(np.abs(s_matrix.data.isel(port_out=0, port_in=1).values.flatten())),\n",
     "    \"--b\",\n",
     ")\n",
     "ax2.legend([\"scikit-rf\", \"Tidy3D\"], loc=\"lower right\")\n",
@@ -923,10 +992,57 @@
    "id": "659918cf",
    "metadata": {},
    "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "
12:29:43 UTC Created task 'coupled_line_bandpass_filter_optimized' with         \n",
+       "             resource_id 'sid-316e33ec-4dee-4715-85fa-2b8a0cda93c0' and         \n",
+       "             task_type 'RF'.                                                    \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m12:29:43 UTC\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'coupled_line_bandpass_filter_optimized'\u001b[0m with         \n",
+       "\u001b[2;36m             \u001b[0mresource_id \u001b[32m'sid-316e33ec-4dee-4715-85fa-2b8a0cda93c0'\u001b[0m and         \n",
+       "\u001b[2;36m             \u001b[0mtask_type \u001b[32m'RF'\u001b[0m.                                                    \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
             View task using web UI at                                          \n",
+       "             'https://tidy3d.simulation.cloud/rf?taskId=pa-c8c440e5-1fc0-4f68-b9\n",
+       "             15-e29f38efffc2'.                                                  \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
+       "\u001b[2;36m             \u001b[0m\u001b]8;id=857169;https://tidy3d.simulation.cloud/rf?taskId=pa-c8c440e5-1fc0-4f68-b915-e29f38efffc2\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/rf?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=472961;https://tidy3d.simulation.cloud/rf?taskId=pa-c8c440e5-1fc0-4f68-b915-e29f38efffc2\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=857169;https://tidy3d.simulation.cloud/rf?taskId=pa-c8c440e5-1fc0-4f68-b915-e29f38efffc2\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=60564;https://tidy3d.simulation.cloud/rf?taskId=pa-c8c440e5-1fc0-4f68-b915-e29f38efffc2\u001b\\\u001b[32mpa\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=857169;https://tidy3d.simulation.cloud/rf?taskId=pa-c8c440e5-1fc0-4f68-b915-e29f38efffc2\u001b\\\u001b[32m-c8c440e5-1fc0-4f68-b9\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[2;36m             \u001b[0m\u001b]8;id=857169;https://tidy3d.simulation.cloud/rf?taskId=pa-c8c440e5-1fc0-4f68-b915-e29f38efffc2\u001b\\\u001b[32m15-e29f38efffc2'\u001b[0m\u001b]8;;\u001b\\.                                                  \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
             Task folder: 'default'.                                            \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=236667;https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f915f047effb4be8b0fef7a8a7875abf",
+       "model_id": "c7ce2da22de54d96a4f5286c9742f48d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -950,11 +1066,45 @@
     {
      "data": {
       "text/html": [
-       "
19:55:02 CEST Started working on Batch containing 2 tasks.                      \n",
+       "
12:29:45 UTC Child simulation subtasks are being uploaded to                    \n",
+       "             - lumped_port_2: 'rf-144f0148-9e45-48f3-bb55-7aed0fd5b997'         \n",
+       "             - lumped_port_1: 'rf-66e2fc70-6c12-40d5-826f-364e2d20f623'         \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m12:29:45 UTC\u001b[0m\u001b[2;36m \u001b[0mChild simulation subtasks are being uploaded to                    \n",
+       "\u001b[2;36m             \u001b[0m- lumped_port_2: \u001b[32m'rf-144f0148-9e45-48f3-bb55-7aed0fd5b997'\u001b[0m         \n",
+       "\u001b[2;36m             \u001b[0m- lumped_port_1: \u001b[32m'rf-66e2fc70-6c12-40d5-826f-364e2d20f623'\u001b[0m         \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
12:29:46 UTC Validating component modeler and subtask simulations...            \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m12:29:46 UTC\u001b[0m\u001b[2;36m \u001b[0mValidating component modeler and subtask simulations\u001b[33m...\u001b[0m            \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
             Maximum FlexCredit cost: 0.302. Minimum cost depends on task       \n",
+       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
+       "             FlexCredit cost after a simulation run.                            \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m19:55:02 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m2\u001b[0m tasks.                      \n"
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.302\u001b[0m. Minimum cost depends on task       \n",
+       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
+       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
       ]
      },
      "metadata": {},
@@ -963,11 +1113,11 @@
     {
      "data": {
       "text/html": [
-       "
19:55:04 CEST Maximum FlexCredit cost: 0.303 for the whole batch.               \n",
+       "
12:29:47 UTC Component modeler batch validation has been successful.            \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m19:55:04 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.303\u001b[0m for the whole batch.               \n"
+       "\u001b[2;36m12:29:47 UTC\u001b[0m\u001b[2;36m \u001b[0mComponent modeler batch validation has been successful.            \n"
       ]
      },
      "metadata": {},
@@ -976,13 +1126,13 @@
     {
      "data": {
       "text/html": [
-       "
              Use 'Batch.real_cost()' to get the billed FlexCredit cost after   \n",
-       "              the Batch has completed.                                          \n",
+       "
12:29:48 UTC Subtasks status - coupled_line_bandpass_filter_optimized           \n",
+       "             Group ID: 'pa-c8c440e5-1fc0-4f68-b915-e29f38efffc2'                \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
-       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
+       "\u001b[2;36m12:29:48 UTC\u001b[0m\u001b[2;36m \u001b[0mSubtasks status - coupled_line_bandpass_filter_optimized           \n",
+       "\u001b[2;36m             \u001b[0mGroup ID: \u001b[32m'pa-c8c440e5-1fc0-4f68-b915-e29f38efffc2'\u001b[0m                \n"
       ]
      },
      "metadata": {},
@@ -991,7 +1141,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "8412984011c042bd80cb98f3a10547f3",
+       "model_id": "260a2a437f37493ba390d3a301a3b740",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1005,11 +1155,11 @@
     {
      "data": {
       "text/html": [
-       "
19:56:47 CEST Batch complete.                                                   \n",
+       "
12:30:37 UTC Modeler has finished running successfully.                         \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m19:56:47 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
+       "\u001b[2;36m12:30:37 UTC\u001b[0m\u001b[2;36m \u001b[0mModeler has finished running successfully.                         \n"
       ]
      },
      "metadata": {},
@@ -1028,7 +1178,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "bc357f76ca0947578e901a427584c660",
+       "model_id": "a36bb28b610b4afaa142db721e9bae7b",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1048,6 +1198,19 @@
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
12:30:46 UTC loading component modeler data from ./cm_data.hdf5                 \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m12:30:46 UTC\u001b[0m\u001b[2;36m \u001b[0mloading component modeler data from .\u001b[35m/\u001b[0m\u001b[95mcm_data.hdf5\u001b[0m                 \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -1122,11 +1285,11 @@
     "    simulation=sim,\n",
     "    ports=[port_1_td, port_2_td],\n",
     "    freqs=freqs,\n",
-    "    verbose=True,\n",
     ")\n",
     "\n",
     "# Run the jobs and save the scattering parameters\n",
-    "s_matrix = modeler.run()"
+    "modeler_data = web.run(modeler, task_name=\"coupled_line_bandpass_filter_optimized\")\n",
+    "s_matrix = modeler_data.smatrix()"
    ]
   },
   {
@@ -1149,7 +1312,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -1175,8 +1338,8 @@
     "    freqs / 1e9,\n",
     "    20 * np.log10(np.abs(ntw.s[:, 0, 0])),\n",
     "    \"-r\",\n",
-    "    s_matrix.f / 1e9,\n",
-    "    20 * np.log10(np.abs(s_matrix.isel(port_out=0, port_in=0).values.flatten())),\n",
+    "    s_matrix.data.f / 1e9,\n",
+    "    20 * np.log10(np.abs(s_matrix.data.isel(port_out=0, port_in=0).values.flatten())),\n",
     "    \"--b\",\n",
     ")\n",
     "ax1.legend([\"scikit-rf\", \"Tidy3D\"], loc=\"lower right\")\n",
@@ -1189,8 +1352,8 @@
     "    freqs / 1e9,\n",
     "    20 * np.log10(np.abs(ntw.s[:, 0, 1])),\n",
     "    \"-r\",\n",
-    "    s_matrix.f / 1e9,\n",
-    "    20 * np.log10(np.abs(s_matrix.isel(port_out=0, port_in=1).values.flatten())),\n",
+    "    s_matrix.data.f / 1e9,\n",
+    "    20 * np.log10(np.abs(s_matrix.data.isel(port_out=0, port_in=1).values.flatten())),\n",
     "    \"--b\",\n",
     ")\n",
     "ax2.legend([\"scikit-rf\", \"Tidy3D\"], loc=\"upper right\")\n",
@@ -1226,7 +1389,7 @@
    "Smatrix plugin"
   ],
   "kernelspec": {
-   "display_name": ".venv",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -1241,7 +1404,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.5"
+   "version": "3.11.2"
   },
   "title": "Designing and optimizing a coupled microstrip line bandpass filter in Tidy3D FDTD"
  },
diff --git a/DifferentialStripline.ipynb b/DifferentialStripline.ipynb
index d3a4fcdf..69ecc5f9 100644
--- a/DifferentialStripline.ipynb
+++ b/DifferentialStripline.ipynb
@@ -36,6 +36,7 @@
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "import tidy3d as td\n",
+    "import tidy3d.web as web\n",
     "import tidy3d.plugins.microwave as mw\n",
     "import tidy3d.plugins.smatrix as sm\n",
     "from tidy3d.plugins.dispersion import FastDispersionFitter\n",
@@ -153,7 +154,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3dde875959f9438ba8335852be48f86b",
+       "model_id": "9bbf1b0ddc1d411cadcf5f4bd4eb02b5",
        "version_major": 2,
        "version_minor": 0
       },
@@ -453,7 +454,7 @@
     "    structures=[str_sub, str_strip_left, str_strip_right, str_gnd_top, str_gnd_bot],\n",
     "    monitors=[field_mon_1],\n",
     "    run_time=2e-9,  # simulation run time in seconds\n",
-    "    shutoff=1e-7,  # lower shutoff threshold for more accurate low frequency\n",
+    "    shutoff=1e-7,  # lower shutoff threshold for more accurate small signal\n",
     "    plot_length_units=\"mm\",\n",
     "    symmetry=(-1, 0, 0),  # odd symmetry in x-direction\n",
     ")"
@@ -478,8 +479,6 @@
     "    simulation=sim,  # simulation, previously defined\n",
     "    ports=[WP1, WP2],  # wave ports, previously defined\n",
     "    freqs=freqs,  # S-parameter frequency points\n",
-    "    verbose=True,  # verbose reporting\n",
-    "    path_dir=\"data\",  # simulation data directory\n",
     ")"
    ]
   },
@@ -499,7 +498,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -562,15 +561,15 @@
     {
      "data": {
       "text/html": [
-       "
20:00:17 CEST Created task 'mode solver' with task_id                           \n",
-       "              'mo-604e9d1b-cb0e-4ad7-8c67-452dbc05d0f6' and task_type           \n",
-       "              'MODE_SOLVER'.                                                    \n",
+       "
10:09:47 EDT Created task 'mode solver' with resource_id                        \n",
+       "             'mo-7e75ba5f-7ca9-4104-99d3-fe9dd33d8aaa' and task_type            \n",
+       "             'MODE_SOLVER'.                                                     \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m20:00:17 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'mode solver'\u001b[0m with task_id                           \n",
-       "\u001b[2;36m              \u001b[0m\u001b[32m'mo-604e9d1b-cb0e-4ad7-8c67-452dbc05d0f6'\u001b[0m and task_type           \n",
-       "\u001b[2;36m              \u001b[0m\u001b[32m'MODE_SOLVER'\u001b[0m.                                                    \n"
+       "\u001b[2;36m10:09:47 EDT\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'mode solver'\u001b[0m with resource_id                        \n",
+       "\u001b[2;36m             \u001b[0m\u001b[32m'mo-7e75ba5f-7ca9-4104-99d3-fe9dd33d8aaa'\u001b[0m and task_type            \n",
+       "\u001b[2;36m             \u001b[0m\u001b[32m'MODE_SOLVER'\u001b[0m.                                                     \n"
       ]
      },
      "metadata": {},
@@ -579,15 +578,15 @@
     {
      "data": {
       "text/html": [
-       "
              View task using web UI at                                         \n",
-       "              'https://tidy3d.simulation.cloud/workbench?taskId=mo-604e9d1b-cb0e\n",
-       "              -4ad7-8c67-452dbc05d0f6'.                                         \n",
+       "
             View task using web UI at                                          \n",
+       "             'https://tidy3d.simulation.cloud/workbench?taskId=mo-7e75ba5f-7ca9-\n",
+       "             4104-99d3-fe9dd33d8aaa'.                                           \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n",
-       "\u001b[2;36m              \u001b[0m\u001b]8;id=265169;https://tidy3d.simulation.cloud/workbench?taskId=mo-604e9d1b-cb0e-4ad7-8c67-452dbc05d0f6\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=843138;https://tidy3d.simulation.cloud/workbench?taskId=mo-604e9d1b-cb0e-4ad7-8c67-452dbc05d0f6\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=265169;https://tidy3d.simulation.cloud/workbench?taskId=mo-604e9d1b-cb0e-4ad7-8c67-452dbc05d0f6\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=379974;https://tidy3d.simulation.cloud/workbench?taskId=mo-604e9d1b-cb0e-4ad7-8c67-452dbc05d0f6\u001b\\\u001b[32mmo\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=265169;https://tidy3d.simulation.cloud/workbench?taskId=mo-604e9d1b-cb0e-4ad7-8c67-452dbc05d0f6\u001b\\\u001b[32m-604e9d1b-cb0e\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m              \u001b[0m\u001b]8;id=265169;https://tidy3d.simulation.cloud/workbench?taskId=mo-604e9d1b-cb0e-4ad7-8c67-452dbc05d0f6\u001b\\\u001b[32m-4ad7-8c67-452dbc05d0f6'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
+       "\u001b[2;36m             \u001b[0m\u001b]8;id=513129;https://tidy3d.simulation.cloud/workbench?taskId=mo-7e75ba5f-7ca9-4104-99d3-fe9dd33d8aaa\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=843343;https://tidy3d.simulation.cloud/workbench?taskId=mo-7e75ba5f-7ca9-4104-99d3-fe9dd33d8aaa\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=513129;https://tidy3d.simulation.cloud/workbench?taskId=mo-7e75ba5f-7ca9-4104-99d3-fe9dd33d8aaa\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=515198;https://tidy3d.simulation.cloud/workbench?taskId=mo-7e75ba5f-7ca9-4104-99d3-fe9dd33d8aaa\u001b\\\u001b[32mmo\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=513129;https://tidy3d.simulation.cloud/workbench?taskId=mo-7e75ba5f-7ca9-4104-99d3-fe9dd33d8aaa\u001b\\\u001b[32m-7e75ba5f-7ca9-\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[2;36m             \u001b[0m\u001b]8;id=513129;https://tidy3d.simulation.cloud/workbench?taskId=mo-7e75ba5f-7ca9-4104-99d3-fe9dd33d8aaa\u001b\\\u001b[32m4104-99d3-fe9dd33d8aaa'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
       ]
      },
      "metadata": {},
@@ -596,11 +595,11 @@
     {
      "data": {
       "text/html": [
-       "
              Task folder: 'default'.                                           \n",
+       "
             Task folder: 'default'.                                            \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=356774;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=62278;https://tidy3d.simulation.cloud/folders/folder-7d2988e3-13d2-49df-8e7b-f9b5036adc0b\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
       ]
      },
      "metadata": {},
@@ -609,7 +608,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "04dd0691e0f343b1bc235581afff838b",
+       "model_id": "9c4de0a93a4945a5ad150fd0717e955d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -633,15 +632,15 @@
     {
      "data": {
       "text/html": [
-       "
20:00:19 CEST Maximum FlexCredit cost: 0.014. Minimum cost depends on task      \n",
-       "              execution details. Use 'web.real_cost(task_id)' to get the billed \n",
-       "              FlexCredit cost after a simulation run.                           \n",
+       "
10:09:49 EDT Estimated FlexCredit cost: 0.014. Minimum cost depends on task     \n",
+       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
+       "             FlexCredit cost after a simulation run.                            \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m20:00:19 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.014\u001b[0m. Minimum cost depends on task      \n",
-       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
-       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
+       "\u001b[2;36m10:09:49 EDT\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.014\u001b[0m. Minimum cost depends on task     \n",
+       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
+       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
       ]
      },
      "metadata": {},
@@ -650,11 +649,11 @@
     {
      "data": {
       "text/html": [
-       "
20:00:20 CEST status = queued                                                   \n",
+       "
10:09:50 EDT status = queued                                                    \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m20:00:20 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"
+       "\u001b[2;36m10:09:50 EDT\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
       ]
      },
      "metadata": {},
@@ -663,17 +662,17 @@
     {
      "data": {
       "text/html": [
-       "
              To cancel the simulation, use 'web.abort(task_id)' or             \n",
-       "              'web.delete(task_id)' or abort/delete the task in the web UI.     \n",
-       "              Terminating the Python script will not stop the job running on the\n",
-       "              cloud.                                                            \n",
+       "
             To cancel the simulation, use 'web.abort(task_id)' or              \n",
+       "             'web.delete(task_id)' or abort/delete the task in the web UI.      \n",
+       "             Terminating the Python script will not stop the job running on the \n",
+       "             cloud.                                                             \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n",
-       "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n",
-       "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n",
-       "\u001b[2;36m              \u001b[0mcloud.                                                            \n"
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
+       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
+       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
+       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
       ]
      },
      "metadata": {},
@@ -682,7 +681,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5e8515675c8447e4baec771480c5ded2",
+       "model_id": "3444e40d27724ad69012f620a8bdb010",
        "version_major": 2,
        "version_minor": 0
       },
@@ -706,11 +705,11 @@
     {
      "data": {
       "text/html": [
-       "
20:00:25 CEST starting up solver                                                \n",
+       "
10:09:55 EDT starting up solver                                                 \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m20:00:25 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"
+       "\u001b[2;36m10:09:55 EDT\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
       ]
      },
      "metadata": {},
@@ -719,11 +718,11 @@
     {
      "data": {
       "text/html": [
-       "
              running solver                                                    \n",
+       "
             running solver                                                     \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
       ]
      },
      "metadata": {},
@@ -732,11 +731,11 @@
     {
      "data": {
       "text/html": [
-       "
20:00:37 CEST status = success                                                  \n",
+       "
10:10:08 EDT status = success                                                   \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m20:00:37 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
+       "\u001b[2;36m10:10:08 EDT\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
       ]
      },
      "metadata": {},
@@ -755,15 +754,15 @@
     {
      "data": {
       "text/html": [
-       "
              View simulation result at                                         \n",
-       "              'https://tidy3d.simulation.cloud/workbench?taskId=mo-604e9d1b-cb0e\n",
-       "              -4ad7-8c67-452dbc05d0f6'.                                         \n",
+       "
             View simulation result at                                          \n",
+       "             'https://tidy3d.simulation.cloud/workbench?taskId=mo-7e75ba5f-7ca9-\n",
+       "             4104-99d3-fe9dd33d8aaa'.                                           \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
-       "\u001b[2;36m              \u001b[0m\u001b]8;id=432424;https://tidy3d.simulation.cloud/workbench?taskId=mo-604e9d1b-cb0e-4ad7-8c67-452dbc05d0f6\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=713939;https://tidy3d.simulation.cloud/workbench?taskId=mo-604e9d1b-cb0e-4ad7-8c67-452dbc05d0f6\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=432424;https://tidy3d.simulation.cloud/workbench?taskId=mo-604e9d1b-cb0e-4ad7-8c67-452dbc05d0f6\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=213059;https://tidy3d.simulation.cloud/workbench?taskId=mo-604e9d1b-cb0e-4ad7-8c67-452dbc05d0f6\u001b\\\u001b[4;34mmo\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=432424;https://tidy3d.simulation.cloud/workbench?taskId=mo-604e9d1b-cb0e-4ad7-8c67-452dbc05d0f6\u001b\\\u001b[4;34m-604e9d1b-cb0e\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m              \u001b[0m\u001b]8;id=432424;https://tidy3d.simulation.cloud/workbench?taskId=mo-604e9d1b-cb0e-4ad7-8c67-452dbc05d0f6\u001b\\\u001b[4;34m-4ad7-8c67-452dbc05d0f6'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
+       "\u001b[2;36m             \u001b[0m\u001b]8;id=722760;https://tidy3d.simulation.cloud/workbench?taskId=mo-7e75ba5f-7ca9-4104-99d3-fe9dd33d8aaa\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=121841;https://tidy3d.simulation.cloud/workbench?taskId=mo-7e75ba5f-7ca9-4104-99d3-fe9dd33d8aaa\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=722760;https://tidy3d.simulation.cloud/workbench?taskId=mo-7e75ba5f-7ca9-4104-99d3-fe9dd33d8aaa\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=438382;https://tidy3d.simulation.cloud/workbench?taskId=mo-7e75ba5f-7ca9-4104-99d3-fe9dd33d8aaa\u001b\\\u001b[4;34mmo\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=722760;https://tidy3d.simulation.cloud/workbench?taskId=mo-7e75ba5f-7ca9-4104-99d3-fe9dd33d8aaa\u001b\\\u001b[4;34m-7e75ba5f-7ca9-\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[2;36m             \u001b[0m\u001b]8;id=722760;https://tidy3d.simulation.cloud/workbench?taskId=mo-7e75ba5f-7ca9-4104-99d3-fe9dd33d8aaa\u001b\\\u001b[4;34m4104-99d3-fe9dd33d8aaa'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                           \n"
       ]
      },
      "metadata": {},
@@ -772,7 +771,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "21a6bb84dbfa46538dc763aab2d42277",
+       "model_id": "0fcef329d33248628638e942b819c56f",
        "version_major": 2,
        "version_minor": 0
       },
@@ -796,11 +795,11 @@
     {
      "data": {
       "text/html": [
-       "
20:00:41 CEST loading simulation from simulation_data.hdf5                      \n",
+       "
10:10:13 EDT loading simulation from simulation_data.hdf5                       \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m20:00:41 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
+       "\u001b[2;36m10:10:13 EDT\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
       ]
      },
      "metadata": {},
@@ -827,7 +826,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABDoAAADDCAYAAABj/3F7AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjEsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvc2/+5QAAAAlwSFlzAAAPYQAAD2EBqD+naQAAd/hJREFUeJztnQe8E1X2x89M2us8eq8CgiLSRLGuygJiA1kVxYIi9rYWRFfBtuIq9rKuClj+IgqWtaIs6NpQQEVFEIUFpff3eDVt5v85N5lkkszkJXnJS/t9+VyS3Jm5c+fOvJkz554iqaqqEgAAAAAAAAAAAEAOIKe7AwAAAAAAAAAAAADJAooOAAAAAAAAAAAA5AxQdAAAAAAAAAAAACBngKIDAAAAAAAAAAAAOQMUHQAAAAAAAAAAAMgZoOgAAAAAAAAAAABAzgBFBwAAAAAAAAAAAHIGKDoAAAAAAAAAAACQM0DRAQAAAPixdj+BrF2PS3c3AAAAAJAH7NixgyxtD6HKysp0dyXnkFRVVdPdCQAAACDd7Ny5k9q270SkKrRxw3rq2rVrursEAAAAgBzG0qoPKXvWktzmEPLu+DHd3ckpoOgAAAAAWNho3ZdUVw2RxU5EKil716e7SwAAAADIUX755Rfqe1A/snQ5irx/fEl//L6BOnfunO5u5QxwXQEgh3n99depRYsWVF1dnbJ9jB8/ns4666yUtQ9AU/Drr7+Ssuc3snQYQpb2g0it+J2+++67dHcLAACyCsgdAMTOQYePJLlFL5KbH0BSeVfqeugJ6e5STgFFBwAZwAsvvECSJAWK1Wqljh070sSJE2nLli0Jten1emn69Ol0zTXXUElJSaC+W7duIfvSl1GjRsW9n1tuuYXeeOMN+uGHHxLqJwCZQJ+hI0hucQBJBeUk2UtIbn0QDTnuFILRIwAgF4HcAUB6+fzzz0mt3kZyuwHit6UdT7JswHWdRKzJbAwA0Djuvvtu6t69O9XX19PXX38tBJEvvviCVq1aRQUFBXG19e6779LatWvp0ksvjVg2YMAAuvHGGyPqO3ToEHefBw4cSEOGDKGHHnqIXnrppbi3ByDdfPnll6RWbSFL33GBOrltf/KsXkAffvghjR49Oq39AwCAVAG5A4CmhydRjht1Bslt+pFkKxR1kqOU5FZ9aeAxo0nZn5iyEYQCRQcAGcRJJ50kHt7MJZdcQq1ataJ//OMf9M4778Rtpjlnzhw66qijxAxNOFx33nnnJa3f3DeexXn66adDZnEAyAZh45gRY/3CRlGgXrLYxSzLyeMmkLtql5jtBACAXANyBwDpcfFS3bVkadMvpF5MsqxZQB999BGNHDkybf3LFeC6AkAGc8wxx4jP9evXhwQu+stf/iJ8YHm2hQUUFkj08MzMwoULafjw4Qntl4UVNin9/vvvI5bdd999ZLFYQkxb//znP1NNTQ0tWrQoof0BkC54BlJ1VZPcOlTYYOSWBxIpXpo7d25a+gYAAPkid3DWq9atW9Of/vSnEJfBdevWUXFxMZ199tkh60PuANnM+AsuIUu7gSTJoZMoktVBcttDadTYc9PWt1wCig4AMpiNGzeKz+bNm4vPn3/+mY444ghas2YNTZ06VZhtsgAwZswYeuuttwLbffvtt+RyuWjQoEGG7brdbtq9e3dEqaurE8tZoCksLKRXXnklYluuY0FEP2Nz0EEHifXZBQCAbOJ///sfSSVtSbYVkCRbQopstZNc2iFE4AcAgFwmXXJHmzZt6J///Cf997//pSeeeELUKYoiYoaUlpYKyw09kDtAVsMTLM06R8gdQvZo1oXKbJ509zAngC0uABlEZWWlePDzzMg333xDd911FzkcDjrllFPE8uuuu466dOlCy5cvF/XMlVdeSUcffbQIzjV27NjA7AvDfrdGfPzxx2LmJJwZM2YIQYaFChZiXn31VXrggQdIln06UbbwWL16Nd18880h27FZP6fD4mUAZBsS/5MtJgulpu4OAADkndyhTbKcc845dOuttwqXmn//+99CkfH2229Ty5YtQ7aD3AGyHU2xEVkPO4RkAUUHABlEuMknRyr/v//7P+rUqRPt3buXlixZIgKHVVVViaLBfnzsq8ruJGxpsWfPnpAZmXAOP/xwuvfeeyPqe/XqFfh+wQUXCEXHJ598QieeeGLAmoNnUMaNCwZt1OB9sbAEQNYhy8J6wwgIHACAXCaT5A7mySefpE8//VQoPTjt9/nnn0+nn366YZuQO0A2I1lsxrKHxZaO7uQkUHQAkEE89dRT1Lt3bzHDMnv2bPrss88CMyjsp8p+q3fccYcoZj6uepcSs9SYHGysIT9a9n9t3769UG6wooNNSFnxwQIHW3yEw/viuB4AZBuSJJPFZqboMLH0AACAHCCT5A6G44A8/vjjdOaZZ1Lbtm3FdzMgd4BsxmKzkWwke1ih6EgWUHQAkEEMHTo0EP2cXUfYNPTcc88V6dpY0cDcdNNNppGYe/bsKT41E899+/aJWZlE4ICjvO/nnntO+May+ejWrVtNo6bzvsJnZgDIBqRoFh0SLDoAALlLJskdGpxxQmtr8+bNVF5ebrge5A6Qzcic3c1A9lCh6EgaUHQAkKGwooF9V48//nhhynnxxReLepvN1uCsSJ8+fcTnhg0b6JBDDkm4D+y+woHHODPFhx9+KPxrjYQdj8dDmzZtotNOOy3hfQGQLnhGUDYRLOC6AgDIFzJB7uDMLc8//zxNmTJFWJReeOGFInZIeIpvyB0g25GtVkPZQ7Xg9TxZQIIDIIPh7CY82/Loo49SWVmZ+P2vf/2Ltm3bFrHurl27At8HDx5MdrudVqxY0aj99+/fXxQWOt544w0aP358hLDBcDAwDmR25JFHNmp/AKQHXzBSo8LLAAAgX0in3FFRUUGXXHKJ2D+nsmfZ47vvvhPfw4HcAbIdSTKWO+Aymzyg6AAgw+EMJzt27KAXXnhB+NKyTyrPlnBUcnYr4eBeJ598cshsC+e5HzFiBP3nP/8xbJODh3GwsfDCkc2NrDo4Wvr+/ftN3VY4j31RUZGI6wFAVrqu2OyGBQIHACDfSJfcwRleOKjpiy++KKxLRo0aJRQfvL8ffvghpD3IHSDbkfwxOiLkjgRdV/hvlYMJ898iB/9dtmyZ6bqcNpoTC/D6bNXKis3GtpmJwDYGgAznjDPOoAMOOIBmzpxJkydPFrMlnP6NBRAWCDj3/MCBA2natGkh27HJKd/E2LSTU7DpWblypYhkHk7Xrl2Fj66eCRMmiBRy3AeeZTFi/vz5op9GQUoByHgkZF0BAIB0yh3vvPMOvfTSS8JdVnODYR5++GGh1GAXFk5xy240DOQOkO3IJllXuN4bZ1uvvfYa3XDDDfTMM88IhQQrLkaOHCli7fDfazi1tbXUo0cPEfT3r3/9a1LazEQk1Sw8MgAgq/F6vXTQQQfRWWedRffcc0/C7XDqNs6+wgKNUdR1Fl4GDRokzEsHDBjQyF4D0LTwg3vqzBeo+bBLDJdXfjuXbj7/z0LIBwAAkHq5oyEgd4Bsh60oWo++myxFkemY3ZXbyP3NkyITUqywIuKwww4TsXUYDiTcuXNnuuaaa2jq1KlRt2WLjeuvv16UZLWZKWCqCoAchc0+7777bmF2Vl1dnXA7PIPDwovRTAxz//33i3z3EDZAtsKZVXhWxaiwDy0AAICmkzsaAnIHyCWLjsjis1pil3F9cTqdhu24XC769ttvQ1zJZFkWv5cuXZpQ31LRZjqA6woAOczZZ58tSiIsWbJEBPv6+9//LsxKWeNrxLx58xrZSwDSjOQLRmq2DAAAQOrljliB3AFyApPAozz5wkqNZs2ahdRPnz6d7rzzTkPLa56QbNu2bUh927Zt6Zdffkmoa6loMx1A0QEAMIRnZb766is66qij6Iknnkh3dwBIrUWHDTE6AAAAANA0yP5gpBH1Vhs5HA7auXNnSD3XgfiAogMAYMinn36a7i4A0HRZV8yCkcJ1BQAAAABNFIxUy7rC6Z1joVWrVsJtjDMl6dmxYwe1a9cuob6los10gKkqAAAA+Y0kkcVqNSySDNcVAAAAACQXM7nDYonPDsFut9PgwYNp8eLFgToOHLp48WIaNmxYQn1LRZvpABYdAAAAKN+jn8sW2XQZAAAAAEDSrUkNZA/JEr/cwWlgOQXzkCFDaOjQoSKjXE1NDV100UVi+QUXXEAdO3akGTNmBIKNchw+7fuWLVtENqOSkhLq2bNnTG1mA1B0xAhrsbZu3SrydUPwBQCApoUzoVdVVVGHDh1E5O9kwnd02cxyA7d7kCYgdwAAQG7KHeSXO4xkDzmB+z0HAN61axdNmzaNtm/fLjISLVy4MBBM9I8//gg5Bn62DBw4MPB75syZohx33HEB1/WG2swGoOiIEb4gOHcwAACA9LFp0ybq1KlTchtlYcNqYtEB1xWQJiB3AABAjsodIuiosexhJo80xNVXXy1KLHH3unXrJhQ5jWkzG4CiI0Z4RoVZt3594DsAAICmgWdVeh5wQEruvzx5YoHrCsgwIHcAAEBuyh2MRZYNZQ9TC1MQN1B0xIgm7PLFHmsUXAAAAMklFYoHbtNiMoOSiAkpAMkAcgcAAKSfVE14sOWGkexhNvEC4geKDgAAAHkNyzCyWfAvyBsAAAAASDIsdxjJHokEIwXGQNEBAAAgrxFZV0xMRSVEIwUAAABAkmGLUcNgpHBdSRpQdAAAAMhv2KLDNBhpk/cGAAAAADmOaTBSWHQkDSg6AAAA5DUiRgeCkYIsQIohSj7IblTcczIa/A3mPk31NyhbzIKRYoYlWUDREScrv19JxcXFcW/nSfGN0e1Nbnv1HqVR29fGsX21yxNlmfGB1boj268NGwSPEhxzj+Jb3+0N1imKSor/vHj963Kd+B3j6dIrXW06rawWwNDG/nd+EzSLJImXJmvgN5FV94Jl1zVWYLUEvhfZgu0W24L1esocxvUldvObpbV2n2G9VFthvEHd/sBXtb428F2prwvWe5y+Lx4PqV4Pkeo/Jx4PDy6piu83p7RStPPlPzfiqyd4DhVvbBe1bLGEpAGVtAeELIekBpX9YypZbcGNraG3QKkg8m9bNqgT6xaZR+GWi2IPHKgUlFBjUO1Fjdo+oj2LI6ntRbaf2GOnpqaGUkW0YKRILwvSzQ/ff5+Q3AGyHyg9MgMoN/KTVModDMv/hsFIE0wvCyKBogOAFCIUJooKfzsdrORQvY1TpAHQVMFI8Z4BQL4T60tuht0s8G6e0acna68rkPpgpNBzJA0MJQAAgLxGKDpkybAk6rry1FNPUbdu3aigoIAOP/xwWrZsWdT158+fT3369BHrH3LIIfTBBx+ELJ84caLoi76MGjUqob4BkJ2oaSqp7F8Kh8aPQmrMxZsFRYmzxDJGqTkB6byumuqaB42BLUbNZA+QHGDRAXLacsCMaG4riaK101AgIVVRA+bw7Jxh7HSS3aiqzmKjAesNVee60qh9+seV2xPuK+wqQ6HuK4Ik7Q/kEBz53DRGR/zNvfbaa3TDDTfQM888I5Qcjz76KI0cOZLWrl1Lbdq0iVj/q6++onPOOYdmzJhBp5xyCs2dO5fGjBlD3333HfXr1y+wHis25syZE/jtcKTWzQiA5JCcFydJ/1xpSmJ1W4jxZqGGTNfq247zZhOmzIiyOHKZycJs8NCINsxGy1g5IpYZrC+rutq47/Vq467TJF9XyST0Gm0MeGGPBsfiMJI9EKMjeWAkQV4gFBsxKDLY1SQ8Poe2rVHR1o/YhmNQxPgQM1pXv49MhGNtaCVCiRCrIsFgXY7LoRUhBJgVg21icpnJBikONDlajA6jkohFx8MPP0yTJ0+miy66iA466CCh8CgqKqLZs2cbrv/YY48JJcbNN99Mffv2pXvuuYcGDRpETz75ZMh6rNho165doDRv3jzhYwYAAABA+rBYjWUPsyxwIH5g0QEAACCvYaMfu4lgEa8Jqcvlom+//ZZuvfVWXRsyDR8+nJYuXWq4DdezBYgetgB5++23Q+o+/fRTYRHCCo4TTjiB7r33XmrZsmVc/QPAnAxXBCeqqG4qBbfZfsKUpRIH6TZQoAZn0U3uOeETKroK1aQrRl0ymj8xG6FMmRsIGS5dnwytNCTjbXmz8GHXj2Hs1h2queWG0YA1dhAbu30iFiFJM8RI5QWU/dYiNotsKHtwIgOQHKDoAAAAkNewMsNM0WGRJfJ4PLR/fzDrkGZdYeQ6snv3bvJ6vdS2bduQev79yy+/GO5j+/bthutzvQZbfJxxxhnUvXt3Wr9+Pd1222100kknCSWJxZ95CAAAAADZAcsdxooOWHQkCyg6QF6huYKwq4hRSln98tga1H01UMDKkiqmF7zcuMUXj8PLZvLs9iJLZCGVtEmBEC8O3T0u5r6kGNNYGloKWUZbhz+5nuNz8AH6U8tq6WM5nobWHn8PtqWboYoxM4vkfyCw+4ociHji25ZPCcfp8K0X86GCPEPyKzTMln3xxRd03333hdRPnz6d7rzzzibqIdH48eMD3zlYaf/+/emAAw4QVh4nnnhik/UDAAAAAMmZZDGSPczkERA/Gakyiida/c8//0zjxo0T67MvNQd9a2ybAAAA8kvYcFhlw8ICx9FHH02VlZUhRe+aoqdVq1bCwmLHjh0h9fyb42oYwfXxrM/06NFD7GvdunUJHTOIBLJHamAT/2SUqHGbohR2FWlUUdyxFZPtSdEVrV9ajKqQfvqP0yT7RXg2Ef1aWnM8l8CF5wk8im8Chz+14haxxYLF7S8exbi4DYrLq6S0GO3TtH/+/occk1gWefxe3fgEhl8/hkaZWgIE1zS8HvXnU3++ldRdV7GWxP5mkvQ3C6JitxjLHXa4ruSuokOLVs+zZRxx/tBDDxW+yjt37jRcv7a2Vgh8999/v6lQGG+bAAAA8gdZYtcVi2HhZVarlcrKykKKWcYTu91OgwcPpsWLFwfqFEURv4cNG2a4Ddfr12cWLVpkuj6zefNm2rNnD7Vv3z7h4wZBIHsAAABoeteVSLnDaoUJcs4qOuKNVn/YYYfRgw8+KMx6zQTPeNtMBRwLKJUl4/pLsRd+kTAr8eBzhwgWvYZfy4yiZThhtxV2U3F7g8XDMwn+4vIES707WvEGitOjBIrWppPr3V7RtpPX9yjkURTyaDMoXs4L70szK+r8JWTmRjGefUhVxnNTzbxiXFSvJ1hUxZda1uMm8niIuM7jJq/LRV4Xf/eS4nKL4nV7fMXp0hV3sLjMC7vABIrbV0TbHo8o3G7APSbQT3/RZ4zhKR59iWecZNm0cFC5WIvvNtyYkuc3qyQGIzUqieSz55fb5557jl588UVas2YNXXHFFVRTUyOeQcwFF1wQYhFy3XXX0cKFC+mhhx4ScTzYJWbFihV09dVXi+XV1dUiI8vXX39NGzduFEqR008/nXr27ClenEHjyVXZAwAAQGYHIw0viNGRPDJqJLVo9RydPtZo9alq0+l0iuBz+gIAACBHLTpY4DAolgSUM2effTbNnDmTpk2bRgMGDKCVK1cKRYYWcPSPP/6gbdu2BdY/8sgjae7cufTss8+KWf8FCxaIjCv9+vUTy9kV5scff6TTTjuNevfuTZMmTRJWI59//rnpSzbIPtkDcgcAAOSZosOgIOtKjgYjTSRafaranDFjBt11110J7RMAAED2wLoM02CkCcobbI2hWWSEwwFEwznzzDNFMaKwsJA++uijxDoCskb2SLfckTKferNA1nEi4g0ktH9PDOsk2LYZgVSx/iSY2o1Eq/d/qvqUprLfXF2Kf1jZYlXU+QN6BxYJS1b/V/8yvRWoFv9bi0thlqa2obpkInEQ94g63Xddvez/FblcFbFzArd1/6d2VlStQjeGMU+iBwYteM1IPHLa30/g02jwkvw3pl0zsV2KMZOsbiay71hRcyDCvMUsGGmGWr9mIxll0ZFJsFmxPvDcpk2b0t0lAAAAKbLoiBaMFICmAHIHAADkDxx01DAYqUm6+4aIN/j1/PnzqU+fPmJ9zub2wQcfhCyfOHGiUBjqC6e6zyYyStGRSLT6VLXJ5sDhwecAAADkajBSkxgdmFnJeTJF9oDcAQAA+YOZ3JGI60q8wa+/+uorOuecc4Qr7Pfff09jxowRZdWqVSHrsWKDXW218uqrr1I2kVGuK/po9TzY+mj1ZibA6WgzE0m2LN7Y5uQ4VGjRXiQ0s8RYCDc85WCgGhwQVF/nC0Sq+IKScqBS8ekLXKot19B9jYpVd2Oy+QeAb1aaaRofJ/92hv02Mpi16sakQPdXmmKLUT9Kg7aMqtup++4KruOs87XgdokAoSIIqCiqCBLqCwbqCxIqlgur4uAIqBzANM4LjIN/+j4lXzBQi+9TkWWSbZbAH4dFibzdWaxK4hdztIs8nj+Axv7xptI2NE/g02U2g5JIMFKQXUD2AAAAkK5gpEb18aIPfs1w8Ov3339fBL+eOnVqxPqPPfaYUGJwoHPmnnvuEdnennzySbGtXgGfqMI/E8goRQfD2qgLL7yQhgwZQkOHDhW56cOj1Xfs2FH4smoBv1avXh34vmXLFhH4raSkRESkj6VNAAAA+Ytm0WEEYoLlB5A9AAAANCU2a3RFR3hAalY6GAUg14Jf67O5NRT8eunSpeIZpYctQDgQenhMsTZt2lDz5s3phBNOoHvvvZdatmxJ2ULGKTo4Wv2uXbtEtPrt27eLiPXh0er55Gls3bqVBg4cGPjNke65HHfccYGAbw21CQAAIH+JHowUmo58ALIHAACATAhGypaknIWrWbNmIfXslsLp55MR/Hr79u2G63O9Blt8nHHGGdS9e3dav3493XbbbXTSSScJJQm7ZmYDGafoiDdaPQdd0SJJJ9omAACA/CWaRUc8Xkggu8kO2aNpHBiTSrJSOHjdCW0mxbJdtMwsRv03OvchqT/0Nw458oYiyaSK4H6ybrvINlWdCXu4G60nJOuKbyG74WrrciYV/sWLuIjMKv4sLFpTgU//F4/O5dcMLUNLqmjIZVnvJqxlaNEnVxHvjZKvHR5aUfztau+U2rDyOQi2petDWBckfYYV7VrRPsUAKyT5PwMDHkAxvpYauoYCddHcZBt+jVMtCZyvpJkypvIBmsrrsGkmONh93diiQxKWG+HxNZo6nfz48eMD3zlYaf/+/emAAw4Qz8MTTzyRsoGMVHQAAAAATaroMPGJRZo3AAAAAKQkRofF3HUl1oDUiQS/bteuXdwBuHv06CH2tW7duqxRdGCuCgAAQF7DD0KbLBkWZF0BAAAAQLIxkzuscQZB1we/1tCCXw8bNsxwG67Xr89wMFKz9ZnNmzfTnj17qH379pQtwKKjiZCyrH0zf/WYt1di395sJjXcRDEEA0vUcDNiLdMKU+fyfa93+8wGOeOK08NZVxSRYcXl9WVdcfttQfUZW/TtcsYQPZzpw6ivVv8xsVaWv/KssM1qEetwRhYeXzZN4+VFDr8pY4EtuL2uXU+saV9SjdcTNdMK46mu8X3WO0VWFV+mFc644hUZVbz86WXTTuOsK1qd+B523PrsF/pxl6w+P0GLzerLuGK1iqwrvL5st/kyr3Cf7baIm57Fbm/wsCWL8W1SspmbECpyHL6L8axr2JEk66vz8MWe43CYRTnPw+EAAAAAQIqxypxK1sCiI4F3sHgDal933XUiptRDDz1EJ598Ms2bN49WrFhBzz77rFheXV1Nd911F40bN05YeXCMjilTpohg2xy0NFuAogMAAEBew8oMM8sNqYl8dQEAAACQP7DcYSR7JBIEPd6A2kceeSTNnTuXbr/9dhFktFevXiLjSr9+/cRydoX58ccf6cUXX6SKigrq0KEDjRgxQqShbepYIY0Big4AAAB5DU+esIWV2TIAAAAAgGTis+yOFDLidV1JJKA2c+aZZ4piRGFhIX300UeU7SSk6GCt0O+//061tbXUunVrOvjgg7NKuwMAAADorTbMTEURoyMzgNzRBMSQRSYRJNWbnHYSzLpCXlfDbXvM15F0bpsBGjqmkPsGZ1jxz6TyjKo+4wq7Lkp+90qLv02r3k3TXEz36rJOaO62br/LJ7u88jf+yZlUOFOKR7jq+nKAaC6xmouox3/u2YU3UeK9Vya6L/1+rP7vmmsrvyDK/mFmtwDxW8ya831eDbxA2rRd64bXprPeExlUQjqrO98eZ+h1wdeC4g1mZuFPVSUpkGGlgUwrevzXgh7VxH1WLLPG4H5LCdBYl1o/qprCFKQ58GjmhCtGskcirivAmJiduzdu3Ei33HILde3aVeTTZb8ezqXLvkCc5/fPf/4zzZ8/XwQ/AQAAALLLokM2LJA3iO6//35hutrUQO4AAACQ6zE6wosW5y/fuT8JskdMI3nttdfSoYceShs2bKB7772XVq9eTZWVleRyuYQf0AcffEBHH3208AviHLvLly9vVKcAAACAJg1GiqwrhlRVVQkf3jVr1jTpfiF3AAAAyMusK/ktdiRV9ojJdaW4uJj+97//UcuWLSOWtWnThk444QRRpk+fLgKfbNq0iQ477LBGdQzER7KVf7qkIwkRj9mVVzbfWQHbdRlgtzQcvEefOaWq3mdiWF3vM32t9yhU6/SKjCoiEwibcyoqef1ZP7y6bRXOEhIDIVlB/CeEs6vIVlmYxrMFqsVqIbtVJhsXi0RFdiuVuH1/hvoXKv1xh2cfSReqznRT1ZnyemqDWVecldXi011TT546J6keL3ndHlJcHvK4vKS4FZGFxetRAtlWFLcuq02sY20Ljo/Fn1XFYreIes68YrVbRGYWa6GDZIcv24qtqCAkS4uo0wVm8i2LNIWXHIXG42GJYjJqid2kXm2kiahqYOoK4oP/8kyDkeaRwMFKBFYgbNmyhbxeLzmdTnr//fdFpPbJkyfTueeeSyUlJSJIGaeXGz16NBUU+P6ukg3kDgAAALlMMoORZjOuFMoeMSk6tFQ0sTBq1KiY1wUAAAAyOxhp/ggcnH5uwYIFIpWczWYTpXfv3vTJJ5/Q3XffTS+99JIQQFgQ2bFjBx1yyCEiHV0qgNwBAAAgl7GaBCM1k0dylQtSKHsg6woAAIC8xue6Ymw9lk+esh9//DF9+OGHIvZFOC+88ELI7/Xr1wtBZO/evdSiRYsm7CUAAACQ/Vgl2VD24Pp84uMUyh5xKzr27NkjfGJZy7Jz586IIGC8YwAAACAnLDryKBpp8+bNacCAATGte8ABB9CBBx4osqCkWtEBuSO7s64I39A09s8wa0r4Ov5MGoa7ddbFVqfbj6R3SWSrMIvPhVKyWomsNpI5k4ZkEa6LWlYNifym2Fr2FW5Tl1lFVcPuRbrh0LKmaFlXXB6VXIqXXF5VZF1xKYrItMKLvV4lsD4vY8xyyFhMZqGN0DKgxIrWh4h6A9/phvqn9Yn7YPEHkeYMKwVWi/hkb2A7j7X/rUfrqk03piHdkVTTzEGB68lTH/gtMq54XcIdWnU52eeYVC1LkK5hvQuwZJBNxchV1sx91rew4RdiVfZde9n0N0v5nl42zyw6mqdQ9ohb0XH++efTunXraNKkSdS2bdu88yMCAACQTxYd+fOM45mSeOAAoU0B5A4AAAC5BivhjC068usZtz6Fskfcio7PP/+cvvjiCxENPS/hay+B608O18QnGTVM+9xYGuuXbhJD1BAO2GkGa+ON6yO1zVY5dNZGH8TT6fGtX1nn07A7nR5y13vJ41FEMFKhjBefWm55Y222GhYY1CxQqDYLzAExZVkm2SKRzCmjbDLZOFAmp5Cyy1RbENS0Nysy1rrrNbtmkZgTmXQ2C4Jppv03mn0Q63uC485BSJn6vfvJVe0kT62bFI9K7lo3eeo9viCkbl/RxlIx0fiHX4M8ltECk/InByHlTw5ManFYyV7iIXuxL2goB4L1dVi3P55d07dVEPtsihIltz1FWxZxAI0MJprkB6KacpPJRPubunuoFCWgc57JGxlJ3ssdAAAAcg6WO4xkD2SXTR5xD2WfPn2ori7SZA8AAADIRoRluSwZlnxVdBx33HEiAFgmPO8hdwAAAMg1LJKx3JFPLrMNxeTQ8Hg8dOutt1K8xG3R8fTTT9PUqVOFv2y/fv1EZFQ9ZWVlcXcCAAAASBfCosMsvSzlJwMHDqSbbrqJrrnmGjrrrLOE28gRRxyRlr5A7gCN8vfXxUUwbTpKHA+1vjayybrqyPWc9cHvYTEONItIyV4o4nQIS0GLlWQHx+XwWQ2qWmwOk/gI0ZSu2tBoRqb1Hi/VexSq9XjJ7VHEd6eikNurktPtFZ+Mx5/SXbOgDI8X4PCnb9dTZLekNEZHrSvyfHGfNbS+6y1Crf4pcO4/91l8yjIV2hUqsMpkl2VSODyK/zwY7Tpq9/XnxB+vQ4vVIbnrSOFz76on1eMm1e0k1e0yvKYkncWkJM59KLJRx6xRYmzo4rmY9x1xMjIV/rszkj3M5JF84NprrxWpZZ999lkRu4NZu3atSDHL8briyciWkKKjvLyc9u/fL/LX6+EAPOw3y6lfQPbT2Dg4Shzb26JoLr2y8Q26yO+uoIcfZiHt6g7C7fEGXFaYumo31de4yONWyMMpi9z8gPKQqj3AJN2D3MR3nwkEm+K+uoPBzFS/6wsHnuKgZCzYWK0FZCkoJFtBkXBfcRRaxbPTWWA19NvTsOuOw8ylSErkdczsRmrmSmFzBDc1cc3wuvyuQZX1VLe3npz7neSpc1NNvYdqWcBSVBEsjYUx7RD1N3SH7rijXhe6B7dSqwsoKbNwI1Ghw0KWAisVNg8KErZS37mVde4qLHTqkQqKIvalWnyuLxFYguMRsU0c7iiq/loDabToMF6WrxMrjz76KM2cOZPeeecdevHFF+nYY4+lnj170sUXXyxiZnCsjKYCcgcAAIB8cV3JV7mD+f777+m8884TKWTnzJlDv/76K02ZMoXGjBkjJj3iJW5Fx4QJE8Rsyty5cxEUDAAAQNbDikJTi448fsZZrVY644wzROFsJzzDcscdd9Btt91Go0ePFjMv4cqHVAC5I4iUrGwI+UQsM9oet/nmBssUIyuP6srgd6c7ZOJDZFvhv6niYl/WleJmIiaUyhMp1rCZfZM4SRGXvWQwH+PX+fFVwplWql1eqnV5qLLOQ7VOj4hXxkWb/NGw+WNYFYZZcJQWRI6dmVl9+GRTQ7CViRHV9ZGWEN9+fAD9+vmB4rsapuzUU95xHx098XNyWGUqclipVYmdXn5wKG37vZkYPy24tDaW+iM5a/xWOnv81sDvmloLTZgwSNuRfq+hdapCD177FvVqsdVnyVFXTZ+vOogefn9CxHGE3LskmQodTpp760PBKt2EUqAuyrVJtvy11kjlvbCpJqCE6wosOiKyqnz55Zd0/fXX06hRo8hisYjJlnPOOYcSIW5Fx6pVq4S2hVO7AADyi7nvH0qvfjiA89MZpktT/WawXQvX0JWdrg3Z9rXa52ib0k/ICPxoDtzG9c99Ihpqe54Ot88K1DnVYnqqelFM/Tu3+FLqLv8c+P1D5TH0f6tv97XtV5trn+K73/Ki0OGiV29/NKZ9gNxDyvMZlIZYtmyZmFmZN28etWnThiZOnEhbtmyhU045ha688kph+ZFKIHcAkL+s+qQXbVndnur2R1pchuOsiVRA1VTZqXJvpJtIOLU1YS+3KtGuXeaWm3rcntBtXR4b7a5qOPVlkaOe5n16DNXUO6i4wEkTTl0V0/5AbiCUbwayRx7rOQTsusLyxrBhw4RFx6xZs0TcsA4dOlDKFR1DhgyhTZs2QeDIMJL9N9HYP7J4srZEe8EwyyVtlI0lfDbByLfU6/Fpv521bqres4c89dXkrt1Pit9tRfbnupdtQXcFiy34gJTC3FgUnabdU18T+O72++/qXVsYW1EzcpS3InthM1KUUrLq+qjvr/5YOPd7oC/JzAxhMmukmrilvPrRYPr8+660a29Jg02Xy82obm8dVVY5qdKt0C6nl/Z4m1M1tTfYYejPKm8JVXuUgOuKU1WpSjXYzoBNdRIpLjeVOb1UUuuhmgIL7XW2aXC7ogKncGOZu3Aw1dTZqbjQRRNO96WvUqwmritRXJriyqTS2Cwn+f5ETJbrisk45mvwc7bgePnll4WC47fffqNTTz2VXn31VRo5cmRgVpIVHjzjkmpFB+QO4COFM7gmmdbCM4sFcAVdVTU8/qxjjLOiOsSlU5MdHOV1ZC1wkNX/W7YXBGf5tVlkM4uOsN8WXY32XfZn4OMW+JA4Vse+GjftrHLS3monufyZ5rTJcM4IxxQ4fM/9FiWhL/bhMTuYIq/x880d56NIiw8STr0uHgfz0ye9qK6yiEhSqKC0PiRTW8CiQ4tRYquh33fXkN0qi2Ph/heWuqhZi3r/S6XfosO/vb7LxcXe0DGWiFq3dsZk0WHx1pJaXUme2jqq37ef1P17qGXRbn87kmH2OMlv0fHaJ0fTrv3l1Lqsgs49aWVc12ZsQw4rsEwFFh2RXHbZZcKC4+9//zvdcMMNtGPHDuEyy64s//znP0XMsJQqOjgw2XXXXUc333yz2Gl4ULD+/fvH2yQA+YGqUktPPTWvqyS3xUZ1asMKg0xi7ruH0K69xSRLCrVspgvEprPuUPzfS20VvgpVpSLVSy1VDxXRHqqloFloUNDQPfhZsSNVhexXIpVKpG0hChEDkUMgU5hiSaqn5vadvmV+5ZFkCQpp2ne26GBeffdg2rmnmNq0rAkoOkC+BCM1WZan8kanTp2ECSkLGKzQaN26dcQ6/Lw/7LDDUt4XyB0AJIiqUkn1fqJ9+8nrlmiXrWGriEyFlRzDp7wlFDYa9f64a4o/QKlPR2QRx11WU0Ut1CqaNHkxyc1bUHmhjcr8MdGK/PKAflLJr+sJUFzkpbffWi6+y57gPiWnb1JLcvontKr3kbJ/Hyl7g9sO7bKCXhy/THy32IP3K0d5UO6zNy8Xn2P/fmdjhwZkKSx3GMke+Wxh+uWXX9I333wTSCffrl07+uCDD+ipp54S8kjKFR1nn322+OSdabA2GkHBGiDVF22S3fQaK9zHs3k0t05FNW7JZhCktMQeejkX655amrWE4vcJddW7qWrrevK6Is0cGYtdJwwUB7+GBCkV7QUffq7a/boFwb+DZl43XbB/E11ZvYl61gXX2VDWhl7rdwz92GoE1RQWh/jG6i1W7FapwajmiQSPNfNBlGTjCN/arlu1qKN3HnouUO/Z/nvge8Wvvu+VK3+nNmt2UX93LbXx+Ga5ZtIo2mZ10IceO31ChVTrnyvXn/7m/nNYp/AchHaOq2iiYyjpAq1Tlc63t1Y/K+Ql2sPFRVRkkWmwfRE9MmiFr98H+Uzeynt3Daxu7XiAbu+lpPqvXP4MBCE1GQ/Vb/1jPFhx2AFk3Jt0pvWn6dLLGi/Lv/FgFi9eTMccc0zUdTjbySeffJLyvkDuyHLSnPUhFl/+aLPmFGaZKdbXBR/XcFUFrTrr9wTjdTgra8nj9F2jBeUFZG9WQi1KiokKS0myO0j1Ww1q1pShz2ZdMPKwe7NVJwfZ/HKCw79OM1cd9f7oA+q78F1qvW1zYL2N5W3phW5H0Fs9h1KVvZAcRbYQy4iqMIEsPGYHw1lcjNAyn8SKWTv6rCq+zvk+2JKjqt5NdfXB88GB5TUrXaa4toZO27iCLtr4NXWt2BFYr6JTF1o/+lTaPvok8pSUBsZLf7jh4xvSBf050axe/eeNzyFTv7eCandWUPXWvaS4FbI6fNs4mgXlSUknrNlKtGDo2vGqhteaMM1pzLXd4BpGG+Vv7I8mz7piIHs0NiFENvPtt9+SwxHpMnbVVVfR8OHD424vbkXHhg0b4t4JSD3RbtCJEHzJTIx4tJHay2U8ShAjl5aiMHeWMp2io0Wx74H0hz8tmsdVb6rkYLw6BYbVq8vMIYU+VNjlJfgjUtj+c81Oen3H98Kqgc4YR3TmX4g4XdK+fdR1wQKa8uab5Pr+Q3ri/OvI2+PYwHYluvRt+uwj5i9jFD9mL+MmbhcHHlBBbVrVUfNmTpKKgrMSUkmzwHd7aRG1/H0bjfhpNVkVhdQzziA688zAMbedP58mvvkmnaPW0UyllFaSI8SokjOyBLoRdl3o16s3MXnVwwqQOo+X2hT6rgNHs+KI/kqFxaHH2LOC2rauo/JmzoDwGRBq4nBPiXZNR9DIF2m1sa4vILpFB+WfywrH4TBTcnAu+++++46GDh3aZH2C3AFA7LRevowOu/dOsjqdvmfwX4JyR5cFC2jaG2/SzWs+piuHnU/Leh5CmQ4HGLWWVpO9KOgaZMQxW3+hp5e+TIXsUjwu9LjLFiygQbP/Rd5XXqBlt99JVcPSkyrbiN4dNlGbZvuovDgyZTHIbWDRESl7GCk5NNmjsjKoQE6ZoqNr1+BsKADJeHfzu5QaYvbHbmTZ4NBZPoQrOlqW+F5am5X5/oB2G6QRDUEfYFOvTQ97p9TS0RrBSo53ti0naeRIkmfPZvurkOUyKwC2byf7pEl046wH6L02pfTHgCER5pR6RYfZeCSm6JDiSo364N3LgpvWB8dPLioNfG+3p4L6vfs50YiRJM2eTZLJMTsuvphuW7iQ7lPLhbLDSMGmhCs69CllYzzE4gIrFbXyKWUcLcrEp6XEZy4qsIWml515l89M1b8weqrYaAoGKB+yDMnUciPf5I327dvTtm3bhMDBsKsIm4127txZ/OY89hwgrCmtKCB3gJQTZWZcNVimhGUtYTx1PhdIzYpDY/+WKqrdVeffjUol7YqpxcE9SWale0Fp8DlkdTQc/0mHfjWb3/q15XfLafAdtxKNGEHSrFmmz+CCiyfRrI9m0SS6mD5r34es/smVcCsLt4E1QbjBhYaim6iIBbN2wvd5+AX/pZ2VPiWH20PkdgWX19f4xnzoryto1vev++WtWabylmXSJBp2x630w4x/0N6hh8c61KGDrZ0nTSYp8JJcUkf1e6tox3ebaM+WKiqwWaiote+8+iQPH7bSoohr6L7xTwbqVNUgbTcyLeUsLHcYyR75aEnaPkWyR0LS+NatW+n111+nJ598kh5//PGQkgzYD6dbt25UUFBAhx9+uIj4Ho358+dTnz59xPrawOhhk7xp06aJQSwsLBSmLxxcDZjDs+mNKfw3GmuRoxbJsFjlhkuRTQ6UsgL2zbRR+2aFopS3Sq2fKrursCUHP3Qt77wT8dAN0K4dyf/+N9HIkXTSI3+nFu46KnFYArm1ucQyHkmFX+yNihQsbGKrFVZ0cLGpFjrojU+JRo4iSX/M27YR3Xmn71M75nfeIWnUKLpJrqKiFAbKatatnArb+AoLlVykgqJAEdYaDRWT8RDuLSYlnj8AtshoTAHJCkZqXBL988rW51h4usaNGzeS2+2Ouk5TkGq5I5vPGUgx/OIdVlQO6BlWPHXOQKmvCJa9W6vpu721ony+u4Y+XLWTpKPOJG+3QeQp70TewnJRFGuBKOwmESxSoAitq65ogQy58ERPUV01Dbz7Tp+Sg+WKKHKH5Z1/kzRyBD391f+RvbKCPE6PKBysVF9YeRFeUj/ckfvU90nrK5f6Wqfo/6wf3xTHw8cVTfYQ4zJiBB1y13QxXvox1I+tftx9JXhOtPOknTdxDrsNouYXTxHndtm+OnGu+bxz0V8L+mvE6BoyutZA7mImdyTqupLNzzA1RbJH3BYdL7zwgoiIarfbqWXLliFaJ/5+7bWhKSXj5bXXXhNRVp955hlxkh599FER5X3t2rUBLY+er776SuTWnTFjhkh1N3fuXBozZowwre3Xr59Y54EHHhDCEEdx7d69O91xxx2izdWrV4uTmxMkW/mnNl13or1ImFl7GFk26C0fwn1LNeuOjs1957u2czNqffY4+uBv4ykVWJ58kqxT/yOsGsjawJ+Z1Ury88+T1KULHfjf/9Bvp48LdVfR3fGkZJ5+s4GPJRuLLhOJ7PDNWrT++HOS3R4xixRyzCxk3HUX0WmnscrWv72V5FmzqKBLF5r94C3kveoqSiaSqtLCi04ja1EhFbVrKeosfpcVoeDwE55RxdB6w0yZENWioym18fmn+U+J60oS3cJy/TnW1LNNqZY78uGcgeRiGNNDN/OuxeRg6ryqyCSmZ9AQn/VmsuUOub4+8hlshNVKllmzqLBzF/rLhuW0oO1JAYsTPUZ6jWQpO8zaMarW90u/neJy0pkbl1GR4vFZzsYge0jPP09yly40+Oefky57aPD55vMefi3or5GocWFAXiDLxjE6EpnAzIdnmJTAuEhqnOoRNiG5/PLL6dZbbyU5Zpuv2OGTw1HcedaGURRF7JOjrk+dOtUwSFlNTQ299957gbojjjiCBgwYIE42Hx7n3b3xxhvppptuEsvZx6dt27ZCeBo/PrYX3f3791OzZs3oo48/puLiUL9+YICanHggZkuMng/hca2cujgO9f6FNW5/MFKPQq1LbDTy6MMp6agq2Q89lKSBA0maNy/2zc46i2q/WUafzn5JpEYzSjNlkFXXt47Zy25UJZLxQ1YyiDXiq9fFI9EFzJI4KJuq0qGXXkOOYUeS9NproRt+9x3R4MEcYYho0KCQRerZZ5O6ciW5fvghqcoBVnSs/OQ9or3bSLL7lRlsIsz7tAf/flV76I1aNQo8auq6Ei1wWTz3RigqYoHv8yNGjhT3bw6CmSxYGPjk00/plbmvGi6/+qorqWuXLnQXC8xZ/hyLBX6ub9++PSAYlZaW0g8//EA9evQQvznVG/elKV1XUi13ZOo50+SOjz/6KCB3SFHcJRtNil68JH9A6ka34/a5f8SLXN9w7AOlSpcyIwzvnu0Rdc7tfisBHRW/bQp83/mzL9sXs37Tflrvd7HQeKV+I2WC3KGcdRb9vvATGjH2b+KZVtYi1J2zQ8tIebdNqbEPfZE/+Gas1OoVADo4FW44W/cEA73u3xu8Dio2b6Nly2ZR15NOIDkDZI8JBd0C3w/wx4Y7oHPwedXm4OALZ3kvn0m+Hkc7v0JGh6VlO/Nru7RFg31SCuLP8KeGufUmimpN4ctwip4F+uCzqZI7tJf2NWt/FRnOwlmzejUNP/GEuGJSZOIzLBNkj7gtOmpra8XBpULYcLlcItoqCzMavB82lVm6dKnhNlzPGiw9rG16++23A0HMeOD0kVpZcOALgrc1O1FOp1MUvcAB4kBKbSBVo+DetrA6h05ZUGL3fW+p05zEGSA8dvbsIfnXX4nuvTc4q6CZThrBMw3t25P0l79Q8fz5NPzsM8QNvKZ3b1rzjwdCVu17yxQq5rYbYOv48aJoWGpqaOCECTF1/5cZM6imT5/A7+Zffkk9Zs6kcZUv0W6lFbWSd9MbzS4I3UhRyLFnD9FDf4k8ZhY29J/6Yx43jqTXXyfau5eopc/yIlkopW2IinRCgKZ80N27whUSU27pSxUVNiovd9MD/1ijbZjUfoFss+iQRBCs8GcAB8wyCpqVSc+xRODjraqqErM1WlaT6urqwPGn41mYSrkjk84Z5I4cQmd1oA+ynTISlDvkv/yFus+fT1/Mnyaeh2vbdaUbTg9aOXgVhaa98gj13LaxwdnmT/98Gn0y/LTAb0d9Hf3tzmtMu6CfZn1y8hT6vfMBgX0OXfs9Xf3uC+L3ebWvkKT0opbSHnqp8NwQ644aVaLudRW+wKMZIntEnPcGzv/fFlxHlbWl1KyoimZe/XpK+gIyE+GmYmTR4a/LF7kjlbJH3IqOSZMmCZ8eI+1QY9m9e7fQ1LC2SA///uWXXwy34ZNgtD7Xa8u1OrN1jGBTHqMZPJ4p5gLSTcPnwKq3WNBmqvR1klWcS+H7mkSkav/sEUf7Zv71L5/5pBnTp/v8SP3rC4UB37jatCEpLH6FraKCHLt2NdgHa3V1xLHFsp3ov9cbsp3kcoltV1I/2kKdqCNtNm8r2jFPnmx6zFJVFalJFDa4/x7JQl6dNYZ2SPpnSriS7ddfS2jXLge1bu0kVQthBD1HRpDsv9NwzO7rXP/FF1/QfffdF1I/ffp0upOv4Qx+jiUCCxi9e/cO+T1w4MCQ303tupJKuSOTzpmZ3AGyG71VZqporNzRtq5KfO70f2pYZJnKa6uo1f59DfahoK424t7ZvMLcUkaPVZfBjvdZ4PUE9rmKDgnIHm2rK0K2q9asMDNE9kjkvP+2oyvtrmpBrUpjGyuQWxjJHlzHSm9WLOSD3JFK2SNuRYfmy7Nw4UIRuMRmCzX1fvjhhykXYK2YXtPFmiQt8iuIhdiVQVHzgJsplQzcKyQlNGiN5Aqay0ouv9ljve8hrrpcRC0iTQSTgVriNxPc5xcMLrvM5yNqhuY76l/f1aI5qbJM7rISkp3VRJbg35i7WTNytm5l0EjoH7+nmONQqCH1ztatY+q/x2Ihr27cPXa72FbdI4t0J9y3+ha+trxeifbts5HN4qG23h3Gx8yzKSxoPPdc0Hw07JjV0mDmlmSxt95Lu6rdATegYr/Jjz6jjSPMrEeXzT4wG2M2iSwly0oJipS0IxTYetesEFQ6+uij6d133w2pNUuBlu188sknlGlA7gBpxeAhIBnMwkq69Sy6FPGOJsgV2Vi5Y0dhqbDoqCgsjXiZqCwupd1lzRu06HAWFoUs4/GoKDdXIugzqXnCYoq4rPbAPpUqWTyUFUmiHcXlwqLDW19IqmKhOtVKvej3jJI9ws+7/lrQXyNG11Aq3TFA5sFyh5HswS7kLGNwytV8kDtSKXskpOj46KOP6MADDxS/w4OCNYZWrVqRxWIRfjh6+Hc7k+jRXB9tfe2T6zhqrH4d9kMyw8w8KH9onNVKVOVFxK6i7MssXoSBn7LkcZn7Bdf6/Ny8+3w3DWX/PrKGrZ80WrYkpXdvkt54gyROaeY3lWwIdcECcnbuSD8+PZNUe1HgmPQz2Wtn/D12QUxVAq4Z3uJiWuE3RzMSMkLrQ0//niOPoj1vHkWusS2JdrMipiUtee0NseyP3wvpiouHiDxxv1n7Uo/5b/jSuBkdMwsa4X6yb7xBKmtwWzTsZxovW/a7aNv+empW4HspalXs+9QLYnKU3MaB1Hcml3I0eSRa3JmIdvxpARMGipIkwFK0id+nqpLVao3ZPzeTnmOJcNxxx1GmkUq5I5POGeSO7EbSBw7XKdHDA6VnktyhLFhAv5e1plFn+GJ0lDaPjM1w73k3xhSjo6Qg9JXCWVBI0//xvOm+q+vNlMtEy/sMpIv6PCG+73ugnGg/0e7iZnTypQ9Q1b462vzR6VS7tau4P2ea7BF+3vXXgv4aAUDIHUayh/8dJ1/kjlTKHnErOh566CGaPXs2TZw4Memd4YjqgwcPpsWLF4vIr1owFf599dVXG27DOXV5+fXXXx+oW7RokahnOEosnyxeRzsxPEvyzTff0BVXXEG5Q4a508Tj3mP2ghEl8Fq4UkMQHqisOmgG6Pb7l1av+5/43P7tRnrn681EE2c22L3muuwt4TMZTl3wNn1U9ZOphiauX08Sm3eZpXjTwz6lb71FOyaMJarZJ5KUxpURRQrNHhILZmcoPKhr+Pr8WecP9OoM+J5K9ITnCnrkzZtErvpYj5mFjRtb9KEnDz1LVFkLg0GzLLZQYUofodxV3bAZLdPnhFHU7wDfjFLf9r6Zmy7NgsGxJMlqepAe7djMhNQourwmnZRJ9p9+PsphqmJq0RGX0hbPsZSQSrmDwTkD8SIZZDWRtcDXrLQqDX5vUWSlLm6fov2POp/l6Q8LnhVWpaqjhFSLf11/ZrPQ2FGSufueGqpc7zBqFPV4+um4nsH05ls0p99osth9+5bDrByNjQ6S85Awa8e8eUn0z2Kz6KwhEpM96M03acNVV9H2b3XxO6Ro7gRq5DPB63tmSF4XSc5q2v+RbwKI6VJoE+c9/FrQXyPBayh4LCC/YMsNM4uOeMAzzJy4xXGebTjqqKMoVbDZ5nPPPSdS2axZs0YMJkeFveiii8TyCy64ICTYynXXXSfMWVkQYj8k9l1asWJF4MTybA+fxHvvvZfeeecd+umnn0QbHLlVuxhAJHwjb0wRio4YC7/Um5WAtjO88AMmrEged0hR62sDRamuFKVuZ4UolRtD/TyTzSdUSE5VIuXii4l0vqeGeDykXjKJFLuNdh52MCm1VSTx8fiL0OxqxWw8kghbehgVPazn0IrGi3Qh1apF5L34ktBjZk0w+8XqZ1k8HvJOmkS1koVeLkudaXbF7lraVlknyv56tyi1biVQ3F41pOiVOazo4GI2HqwHMStxXP5CQG1MAUlAnAiPcYlT0ZHNzzGOhcHBwGLlyiuvFL7BqSbVckc2nzPQBLDmOqzwi3Z4ka2WQLEVWQOlsGUhdW/mEOWYVsV0Ur825NmyXmQFk+sqSXbXiSJ53b6il6X0qKHFS2qguL1EW0acRF5HAamTJsUkd3gnXUJ1Vhu93XMoWayyKDaLFFJYGRFeUo3Z/ljPw33ifup1PvHKHuoll4hx2vLnUSFjGDK+YYTIuP7zpJ03Pod8Ll1VteLcDm3uO9983rnorwX9NRK4drR9+A4+soDcxUzuSECuz+Zn2KQUyh5xW3TwwDzxxBMir24q4HQ3u3btomnTpolgJ6xF4hOhBUP5448/QiKvH3nkkSL37+2330633XYb9erVS0SM1XIAM1OmTBEn+9JLL6WKigrhb81tIo99ConLdcV8XVOtZlg8DiOLDq8uaJVzry9ab+1uX8Cumigmk4z+0RLi6hCxnvFDv5ZkmqmU0m0LF5Jy2mkkc157IzNStmq4ZBLRRx/RL5efTW7yENVWkVwSDEAkWXXWGtrMTxhxZon2b2NcbxYgXK8E0NL1unSajkoqp3HK6/T+wlPIe9oYssx6LmhGqg+etG2bUHKoH31EZ7Y/jCp1MUgkf0ov33c5yknRpbGL8kBw19dS5X5fFoM91T4roFbFQUuRMv8slhEe/wBZTVxLosl7cZ0OTOJkBgkoNHLtOfbaa6+JZ3z//v0bXJeFkmeffVYcY6pJtdyRzecMJIkoKcEjnkV8/zfI9W4t1Fl0NPO5nzJsfF7Uyve7oLyA7M1KxP2GJ18sBYXB55kma+ieg6Hp4STTbMBuVSV3SQktu306HXHHrUSnn07S88+byh2s5GC549oRl5G7eTMq9Gems+liWInfBi/aZt4X8SpBzNoJ36d+Ne6fzc6KDikh2YOVHOrHH9PKGf+gupIScujGMNSYJewhrh9sjzNU5qyvEueyoEUptR3UmYrb7SXFrZDVn25Xfy3or5HANaTTdBhda9GuTZDtKCayh5JXz7DXUih7SGqcb0hjx46lJUuWUMuWLenggw+OCAr25ptvUi5ilM8+kzBz8UiYRmaWMQ/sZ4DXbd6O22lcrwUX1aFWhmYCETMmfip+/V187l69VXzuW7ePvt1XR7V6kwQdJbqHfbHu6Rf+YHbqNt/nCh6zVj2AnHSTXEUOjgUxdqzPh5Sjfe/bR8r8+SS99RZ5rRb69k+DyHP8YYHtre26Br7L5cG860phaATmQL3DOE+6YjO/GbEFgxFs6WDE+WcPpb27HdSilZPuefZzUbd9cxHdc+2RIeuNoI/oDfksKpJqicaeQfKZ43TH/AbRW29SrSTTmW0H0n+K24QoLRwl5cHjtoa5ruiucU998Px76vzR5sOw2IuoVe9B1LyNb2x6dPaN3cEdg2PYrTzUH/nWS44OHOOzr3wdEbxUjz2Kr208UfYN5OW4SLaexCzQXLrhh+3IESOSns/+0Ucfpf/+5yN6fc6/DJdffsMt1KlH77zIhnHsscfS//73Pxo0aJCIS8LP9759+9Itt9wiXEe+/PJLqq+vFyaxq1evFmlfN2/enPJ+Qe4Iyh1Jf9abvcwlEcnrTE47rtrEtnM2vJ1aY27lyTG9IuoqI2cTXfuCbbiqgs8or9MTcLWwNysma2EB2Vq0IqmgmOSy5iQV+557aoHPvVJ1BGVMRfcc9ITd7XUiR2DyodajUNsVy+jIGXeR1ekkleUOTr2qPYMXLBBusvVWO9100iW0rLvvpabQH1+jvCh0MqUsLO4G06LEeMLFYfKsNMNp4ie71z8pofHWPadSXWURFZTV0vApb1FFrYtWvTqCKjZ0jEv2kN5+kzwOB311251UdfjhEc93/byHNUzRIWvKDXE9+c6tpAW3r6kQ14hSsZM8tXXk3LefvE53IA2uxRFs2F4aPLf25r7zPvbvd9Ku/eXUuqyC/v3AkxHjwdeIGdq1Ew3VEVS0xIoWJ66xqJYUxhxKobWL6lc2stwxYuTIpMsdDCvr1n+/lDp37BCx7OdffqXjThkn9psPHJtC2SNui47y8nI644wzEjkOAPKOleSgSxUb/YnqaPTb71J7FjL8VNoL6NeOHaji2H7ksduo4cdVdvAxjaROyu90Ab1E1779NPVcEMwL/z/rgfS49yF6sWAoVUvvkaT+CIMGkPHBSPOFV155RcyUbN26VQgULFg8//zzYgaHTVuHDx8uXrw56NlZZ50lzFibAsgdAMTOjiFD6dV/vUIdFy2kQxe9R63mzw8s29KqPc07ehy92/cIqnYUxu+/ns2yh+chWtpzDI2S99FQdX+I+wsAacHM/TzJLun5LHvEreiYM2dOvJsAQZYJy40V7uOw6GBfR1NMZoKk8MCjYa4qjKdaN6Pi8u2DfTuZwhYFdJDHS7VelfZzrAZVJY8a9I7Qp4PTR0wPt8y06rN26KYDtGCdnKK0XpVpkVRCn6lEbexE7WwyWa0WspYXUlnHUirjdeucYiYgsB+dlYKkc2Mhr3GmmERm+UwMOsRYGKFV79trp9suOdrXhtdYUmBT0ifoWnrCcw21oL1USlW0lTqQ28MzsRIRJ8TZfASfSCJLPUn8ybNRkkSOjp+IogXqUj0O2r9sanhvIjvGszMHPkW2sm1kL2omTIK9+/rQ2o9OEMt+85+8xToLHas2y1bgoSkPfxloij+d/gGyyGrclg/xWJo29k8t6cJaqm9VUpall02iS0umw6lM77nnnpA6Nnft1q0bvffeezR69Oi09AtyB/Ahp+wmqU/7GUvgUckRmZ3EXh68V1iLQ60pZX+gUSosJslmJ7nA9xnStvYcD7kXOUyfFSKuRJirpRZEu76khH46ZSx9OfwUkiorSamspn0WO+21FVK9R6WWikIcplvxr2/zPxfDrTJKDSw6zCw3tDYaS/g+NbmrvqqAFj84VjyjnLWOxGSPX4hW3NqFrFaFioo8ZLNzPDgfZ529lc4a77P65cqaWgtNmDDIYPB1goL4VOjBa9+m3m29ZCvxkLWslL78sTfNfPtsgx7qI55KVOhw6lyWJONrLZrlQkwCQC6ps/IkGGkqLffyTPaIW9EBAEgQSaIazlMvW6hElqkky6YTThqzib77phX9sqqcKvfG6p8n0V5qKYohqo3IYwt5t1Y9kW2rrhjtXZTQW5rqtZC7JtStx0h15ij0PWhGj91EdbVWKiyKw/UK5E4wUrNleUyXLl1o5MiRKUknBwBIMZJEdSVlVGMrolqXl31Ws27irf/x62jdD+1o1//aCBeWZMgeHo9M+/eHuuCwYiMElWjXrthcL9ze0G2dbhvt2m/ucqJR5KinSaMWU029g4oLkuPiBbII1R98NJx43P9zlC5Jkj1iUnSMGjVKRGM94ogjGgwQ8vTTT1NJSQldddVVjeoYiJMkC+ON1ibGY3ZlYqXAyCYxOpTayLgMSn2oH67HGdmurcTn212kFJJsk8nr9FKbOo8IHOX1KsICQ7QV43jq53qbmUz82jhwNr9MW2SyFVjJXmwji91CthI72cscJNs0y4XgjU111ge/1wUtUySd764eNQEzN7NjDKRVDeO4U38nl6LQ9m0FgVkgr1emmv0J+mBKXpIsTpIseoseiWzFFnKUtgzknlc8PPu1P5YGqbR9RypoaSer3UIWq0RORSJbSXWIBYZFF1vD6q+zF3ip1uOlY0/xxXJhNDdhzeojHFkyn+nXB3xqCFlpnMJLH7cOJApH3Dc7n9n1UpAKPvzwwybfJ+QOAADT/8TfqN7jpeo9/kkLv0WH4on/4WexKlRY6CG7w2fJoX/6FheFyVESUevWzpgsOmyW0G0dNje1LtsXk0XH+OO/0C03jsMGchSRpdJA9sjzCZZkyh4xKTrOPPNMGjdunPCPOfXUU2nIkCEivQxHXd23b58IDPLFF1/QBx98QCeffDI9+OCDje4YACDz+PPpm0TZVe17+O/cUkyP33JcXG1YindTYY8l5Gj3I0l61x9h3hsaZFDUWV3Uevijpu1pmVoki9XvmhRUMpR1+51a93lVfG9V5lPIdG4ZVBZ1bh5pfgzyEHZd4VTOBkSkeARNAuQOY9QUZmCQEoj0nxXE4rpis5svK4icYDA6C6qjwHi5ZAm4JIj9WGwk2e3imcWZ1NSAYjzOc2vgwakp9H3Bsi3C7cPlUanEbgmkTPcVv3ut30VTm7wIz5zC6VzDcZgo8q1RAnQbrm9yXuSiyPrjTvtDFK2vbz82jP5Y7csmEQtde+6nseduoKFHVIjLweHvaxHPRPkpsIbulxUfb7+13NcnXQB8yeWbiJLcvsk18ezwukhxtvIF9PW46NhjK+iYI5/ybWAycSjZtEmiZlGvtWjXpppllsHZci9sKiSv11D2iCuhA2i8ooPz25533nk0f/58kQKGA4ZokWA5auxBBx0kzEuWL18uoqQCAEA4lpI9VNzzv+Ro9xOpirkVDwDpcV1BMNJwPv/8c/rXv/5F69evpwULFlDHjh3p5Zdfpu7du4s0c6kEcgcAoLF0PqCSRp/1Pxo4dC85rFJICnsAMjcYaY4qndMge8Qco8PhcAihgwvDAkddXZ1I9xae6g0AADRsZfuorO9XZGv3M6neelK9KpwBQIahRAlGmp9X6xtvvEHnn38+TZgwgb7//ntyOp2BZ/99990nLClSDeQOAEAidOheQSf+ZR0dOmSPcBuWcmD2H+RRMNI8y7qSStkj4WCkbE7KBcRGys2fky2MN9JsyswM3HBdj/nsvqrLXR5SXx80IwzgrDMdE2uBz0SwoNwXyMrqsJK9xE5ejs3h9JDiUcnr9opYHYxXl99d1X1XzFKVCLeLoAmh5I9KznWy1UKyzfdpdVjIWuhzsZCsHKejkGxFBRGRtVXd+Km6OCWy2bgmcH2ZbeFPGBOBSzcOWoT3KMNBBS0qqcOw76m81zryerzk9ZSQVykm1euLh6KdHv2YannnjZD02W90Y62Z2soWWcTf4NgeVqss1rHbLVToz4ZT6M9lr5noMvW6Y2JqRaC2UIqsxjNA0QLMW6MNTHg7cZr7pvxPP8ydKNnImZh2hQfRLPtTnrqu3HvvvfTMM8+ING7z5s0L1B911FFiWTqA3AEAiEa77hX0p7G/UZ+Bu4TbDRQcIKNR3MayB9fnKfcmWfZA1hUAQFIpabWfuh/7A5X0XEceVYmqHAIgI1BVUs1MRfPUomPt2rV07LHHRtSzoqGiIjSVN8gRUuXvn6yXzTiCPOtRDWI/RWA1zyQmF0cqu1W7edwE30bBbdjVKvBbsvhiC8iy+FS5XlumpaCV9aK5FNOtSFO8a0cqSxbiLK0FVlkEHvd4VTFBwXp+VvYH0tH6n8/a71gwic8dtxJbsRnvsziGrjjCJiDYRWXkmeup/+A9YvJAluwiBgjHDbFKsvjkfmvjZDRRETIE4X8L+nPiP08q+a4Z1cKz8naSbIW+eE+cSUPnDqnqG25gpj4Yt0PXL9nWuGs7kb+bZP3N5nEMkVhgucNI9og26ZfrrE2y7AFFBwAgKZS3raLex6+iLof+QVVOJ1XV8yx5unsFQAyw1YaZZVme5bPXaNeuHa1bt07ksdfDAUB79OiRtn4BAIBGpx6VNOIv66jfkD3inVoolQDIFtiaw0j2MLMwzQPaJVn2gKIDANBoBcdho3+hXodtpl1VyAMPshBFJdVtLFjk68zK5MmT6brrrqPZs2eLl4etW7fS0qVL6cYbb6Rp06alu3sAgDymQ7f9dOTI3+ngQbuh4ABZi+r2GMoeqid/s65MTrLsAUVH3LDQm4GCb7L9yBsbCMcbe1YNKcq6Sl2N8eG6DF6ow8y/LPagSZ+tWIuD4XsYWou85HW5RbwI1eMVpmOKh2N0+I5b0cfl0L3ocCBNMyy6NGWyFqPDZhGxOTj+BsfkkG1WX8wOf53FYSNroc9U0VIQNIUVaeeMR8SwVkrEvN5kEzWOtHCt29bRpL9/4reMtJBX8Y15gU2mskJFmMy6vYquqORls1mvEjCZVXRBQaK5uegtKfVCDcfmEH1iE1WO0yFLwjfXIknksFnI5l9eZPeZujp05ynEpJTjkBgEKKn1GP8t2PzpAo1wy3HE6Gjk/cSqJlnAS7W8mOjhpvC2q6p8HzC5D+VpULCpU6eSoih04oknUm1trTAl5eCgN998M11yySXp7h4AII8Zdc6v4hMKDpDNqF6XoeyhevLXomNqkmWPuJ2wLrzwQvrss8/i3hEAIPew2pRE3aYByByEosNtWPI1zRu/QPztb3+jvXv30qpVq+jrr7+mXbt2CT9ZTvHWlEDuAAAAkGuw5Yah3BFHQodcQ0qy7BH3Kwqndxk+fDj16tVLpHnZsmVL3DsFAAAAMgYtcJxRyUQLvhTCqdxuvfVWGjJkiIhyzqncDjroIPr555/pwAMPpMcee4z++te/NmmfIHcAAADIOczkjjy0JHWmSPaI23Xl7bffFpqVl19+mV588UWaPn26EEAmTZpEp59+OnLbAwAAyKEYHfll0cE+sP/617/Ec/2rr76iM888ky666CIxq/LQQw+J3xaLccrlVAG5I8tJUgYHkaEkkd1b7A23HcUFQvW7ZIa0yRk2orWhO2ZRH/gt+zJRaOtqmVfEIt+nqsvwoW9TCkv9ze6ZGja/aaXsV8wqsi/DisNiIYXrWJfr+/AVf1MBF1JtuzB3zvDf6ULWu6vqv/t9Ldl1lRFD6/fAFJ7KnPCGOM2s77e2Pru4is+Q8TW/HvTnhKz2kPMlKV7h/qgNqqoFsNZcyvVjqHMzN3I5Voyuw2jXfZSMLI36u0Fa3qaz6ECMjpTKHgldya1bt6YbbriBfvjhB/rmm2+oZ8+edP7551OHDh2EtuW3335LpFkAAAAgfVlXjEqeKTrmz59PL730Ei1YsIA+/vhj8nq95PF4xPN+/PjxTa7k0IDcAQAAIKdgNxUjuSMPs67MT5Hs0SiV3bZt22jRokWicAdGjx5NP/30kzA1eeSRRxrTNAAAANAkqNFidCQ70HOGs3nzZho8eLD43q9fPxEEjBUJmRL0D3IHAACAXED1Gssdah7G6NicItkjbtcVt9tN77zzDs2ZM0doXPr370/XX389nXvuuVRWVibWeeutt+jiiy9ucj/ejCbF5n+SZiqXrPYa+UcmxaGNVF315svcxulKhZlgOGFRMSVdVgwtswlnQWE4uwqbpIviVf3f1YC5WEimFd2MLmdpCdmHP6MHY7FaIvYtsqtYJF/WFVn27V+SSLb4M69YLWSx+80gHUFTWMlRoNtHZiRH0kxDGYfuWIt117al2LdOoYOzqijk9ijElrE8npx1hTOu8NDyp9s/rprpLOPWZTjxhv3N6E1MZb/Zqaj3n3fuH6/DZq1slsqr+DKw+JZzJhbfZ/Cchd9AjTKJunQZePQ4TepFX+KI0OqNkmkmpu2T/AKalwar/PdvEuU831xXeBbFrt2T+Fq2WqmkpCStfYLcAQAAIOfwByMNJx9dV7wpkj3ifoNq3769SPtyzjnn0LJly2jAgAER6xx//PFUXl7e6M4BAAAAqccfjNRwUWb4qDcVnHJ54sSJYjaFqa+vp8svv5yKi4tD1nvzzTebrE+QOwAAAOQcZoFHkzx5nc+yR9yKDjYN5YAgBQXBGedwWNjYsGFDvE0DAAAA6bHocLtMluWXwMGpXPWcd955lG4gdwAAAMg1hJuKgexhZmGaLPbu3UvXXHMNvfvuuyTLMo0bN05kNYlmQcGKhxtvvJHmzZsnMqSMHDmSnn76aWrbtm1gHSM3k1dffVXE2EiX7BG3ooODfwEAAAA5A1ttmAkWeRajg91DMg3IHU1EiuKwqFJyAthKlsSy66gxZJCQlCh9NLgHGNp5mewnJOuKLtuK9qn6M4FErBPefFi1zoOTbP4fAa9JVfJlWREWaVKgvyKTtq73qs23nZmHnn7d4EaUWowSjxhV6o5Xv1TLsqLVay9fWhYWxuL/oh/DqJe/bqGqZTrRrmsLD7QSmWXF/9sou4pvtRifLVGu35gyqiSQdSVZf7OpuqfkVjBSA9kjxa4rEyZMCMS7YtdQzm5y6aWX0ty5c023YbfQ999/XwQNbdasGV199dV0xhln0JdffhkhQ4waNSrwO1ZLy1TJHpnh/A8AAACkCRY4FcToAAAAAEAToXg9hrJHKoORrlmzhhYuXEjLly+nIUOGiLonnnhCBPaeOXOmyGQWTmVlJc2aNUsoQk444YSAYqJv374i/esRRxwRotho164dZQp5GXcOAAAA0OBAxIrLY1h4GQAAAABAMlHcxnIH1zP79+8PKewy0liWLl0qlBGakoMZPny4cGHh1O1GfPvtt8Lyg9fT6NOnD3Xp0kW0p+eqq66iVq1a0dChQ2n27Nl+q7L0AYuOXCHZ5tWNvTDjmQWNtm487YSZ92kZVkJX8ZsrWq2keL3iOLVMKiLrin9/oZlWzMeCM6oE2w7unzOqiDqrRWRY4f2K5VrmFWFNaPXZXdockZlWrDoT3RBz3dTrJs0MDa06E8SQDCyqwThLEqlWmdxW3zi6vZxtRfVlXVFUkYmFs7KEZzVR1OAtidc1g7OpaGhfuU6r58wrnJmFu6llaAnPviK2MR+GYJ9M7HT5eJJx2RoMX1zkWazM1MD3AbOThgHOeVgQmz59Oj333HNUUVFBRx11FP3zn/+kXr16mW7z2Wef0YMPPigEQDYB5qwvY8aMaXS7AAAA8gP9e0d4PSs12EVEDz9P7rzzzkbtc/v27dSmTZuQOs5w0qJFC7HMbBvOiBLuhsLxOfTb3H333cLio6ioSGRIu/LKK6m6upquvfZaShcZZdHBQsG0adNEhPXCwkKhOfrtt9+ibsPCxqmnnipMbfjl6u23305KuwAAAPKD6BYdcF3JdR544AF6/PHH6ZlnnhEzWhzlnQOtcfA1M2pqaujQQw+lp556KqntAgAAyA/M5A626ODsI+wyoi+33nqraVtTp04V78HRyi+//JLS47njjjuEQn/gwIF0yy230JQpU8SEQDrJKEUHhA0AAABNDSszvG63YYGiI7fhiZBHH32Ubr/9djr99NOpf//+9NJLL9HWrVsNJ040TjrpJLr33ntp7NixSW0XAABAfqB4PIZyB9czZWVlIUVLvWoEZ0Th+BvRSo8ePUT8jJ07d4Zs6/F4RCYWs9gaXO9yuYRlop4dO3ZEjcdx+OGH0+bNm5PicpP1rivhQgHDQgGbxbBQYJaahoUNLsluFwAAQJ7gt+gwIprrGsh+OCUtm97qfY/ZXJgFNPY9TlRGSFW75s6FjSeW7CSJIEnJ+RtKNBOE5HdbjN52EsbVbPx09YEMK/r6QIoQKep5CO+h/rBk/xBLajDdCHvd6Uc+oLLV1vHd+vxVJplBDK63VHvzGZ0Ks7MTklElbGVteCR/hb5dzYNVXxftCtCfk8BX/ziKGAR8bWpZVsLcXU2zqyTD5Vxu+DXO6Bw2VbaUVN1TfEg5E6Mjsj7+tPatW7cWpSGGDRsmFBbsdjl48GBRt2TJElIURTyfjOD1bDYbLV68WKSiZdauXUt//PGHaM+MlStXUvPmzaMqaPLGoqMhoaCp22XtU3gQGAAAALmIz0/WqCBGR26j+Rfz5Ec03+OmaBdyBwAA5A9mckcqLUn79u0r0r9OnjyZli1bJtLDcqpYVr5rGVe2bNkigo3ycu29edKkSXTDDTfQJ598IpQknJKWlRxaxpV3332Xnn/+eVq1ahWtW7dOxKO677776JprrqF0kjEWHZkkbDAzZsygu+66i/KXpjPXTtofdNisjabpF981db/Vd8lLiiLqhG++5A3kOle92jbBmaNoWRcC7foDj2pwAFLxyXWy7AtGapF9fnKc05yDkLKm22ojiYOSiv7q+q//rgtymlrtuH/XJvW6boTMnui/BwKWWjjYqG9MeLZDloNBSPmTA3m6tVOiO29agNJ4gpEG++ELQCqW+4OQ8npc7+t/6Kc4VoN2YiVaMNJ4wHt0+uG/ca+ZRQdcV3KKV155hS677LLA7/fff58yBcgdAACQP3jdXkPZIxGLjnifg1dffTWdeOKJItsKW2lwiAcNzrDCFhu1tbWBukceeSSwLivlOQTE008/HVjOFh8cRuKvf/2rkPt79uxJDz/8sFCopJO0WXTwIJeUlAQKD2omwQFf9AFgNm3alO4uAQAASAFC4ckmpAYllell2Sd2woQJwveWo5nzjAlHKI8Gx5bi9G0tW7YUz04WOthPVo9RELJ58+al7DiyidNOO02Y02qF0+Ax4WPYkO9xQ2jbxtMu5A4AAMgfVBO5Q+GZwhTSokULmjt3LlVVVYlnDaeBZXlCo1u3bkJZ8ac//SlQV1BQIBQZLLdwfMw333wz5FnGViLff/+9aJPlGH6+8qQCK0fy0qKDhQ29L5AWqISFAM6OosG/BwwYkBRhI5522Z8onT5FAAAAmjbrSlNbdLCSg1OTLlq0SCj72RT00ksvFQKIGTxbwlYI8+fPF+akPCtzxhlnCPNTPXPmzBGCh0Z4Wrh8pbS0VBQNFuZYTmDfY00mYJcRDlx+xRVXJLyf7t27x91uzsodSfL3J7aGTAARQ6HBtlPo7x9uiRk+HhGxOYz7IofVG8XVsPpXEYcsseWhLhV7YH9BS0ItVoXZCGWKPZvZq5IWfyPw2yTmhnZ6TYbev49o10BwmXaepPDR8ceQibzeTNpNMOZMaBtyav7+kvU3C6LClhtGsgcrQECWKzoyWdgAAACQP3CwOK+JYJEqiw6OgL5w4UJavnw5DRkyRNQ98cQTNHr0aJo5c2bAV1YPz7zMmjVLKEI4V72m0GCf26+//jrgK6spNhpjkZAvsLXL9ddfLzKo9OrVS8gMnCKPx3/MmDGB9djElzOssGKJ4Rkr9kPWxwPjGSyeKevSpUvM7QIAAMhPWO4wkj28KbboyCcyJkZHzgsbeeaIL8URTTpVIyNiYWjfLdpefP1SA7p7hSyy1Tej6/UG42yEnC/FPHq7TuutxeUQ37V2osXn4Lb4u2bWFRIEI2PiBBuin/nQf9diXkiK/xA59oEk+SKe8CHxSyOvoxDZrP5j9OiuFd34ymGzVfqYGFrcDfFdNxOnxebwNSVFxO3wfaZ+piKb/9pTfqvKxIkiEZ/Hm/hscAJwMGxWRmhKDoaDZrOZJyvijdKWcgAwtvzQB9fmgGH8rOP29IoOdm+55JJLRDq5yy+/XFiL6OMWgSBTpkwRprhsTcPR6I8++mihhGJTXY3169fT7t27A79XrFhBxx9/fOA3B2ljLrzwQnrhhRdibhcAAEB+oipeQ9kDscFyUNHBQNgAAACQrhgdhiiKyDEfngGjsW4GHAy7TZs2IXVWq1Uo6c0CZXO93W6PcEMJD6599913C4uPoqIi+vjjj+nKK68UkwLXXnttwv3NZVgBxGPGxYyNGzeG/Gbf5YaUYLG0m1mkRhGWrCDaEa4CSSUJfYxFkWiwTqLjE5JRNcwFhX/z5akp+MUy/eXqrw8arJm5y2QGUgKeR9HcVJJxpZu7sOh8g6K5qCRDiZ7gNdcQyQt8D+V6NFR2XTGQPeC6kqOKDggboKmRZFloTtkSQSaLsOrwLZDMrThM24q8oUe15gh/+Jk8DLmPmYDeiiKkXt89vXGGROTlzCcmVh0Kp2AJs8jw+usa2r9+GzNrDgCSknXFq9AXX3wh0qTpmT59Ot15550R60+dOpX+8Y9/NOi2kkrYalFj4MCBQtH/4IMPQtEBAAAAZJLrioHswdlYQA4qOgAAAIAmR1VMLTpYCcJWgJwjXo+ZNceNN95IEydOjLo7difh+Bk7d+4MqWfLEY5obhZbg+tdLpewTNRbdTSUIYQDf99zzz0i6HdOBrsEeUHilg9K42a9jSbTGuEGZn4cDbQZtljWBRpV/LYc4VYeIUYcBtYdeosPw75miB9mrMNttp7Z5iEBSGM+pdqKquH5FK7biVpaJPlaS651Bkg2nF3FSPZIddaVfAKKDpAXaL7pDT2ztTgbAcsO38YNrh+5II4Hi8G6+vgimUiIRYViZHXRsHSkrevVrRsidMVoldGQoBZoDlYeIKpFh0mMDkUVLiWcAjYWWrduLUpDDBs2TCgsOO7G4MGDRd2SJUtIUZSQjGR6eD3OVc/BtTmtLMO57v/44w/Rnhkct6p58+ZQcoA0kax7r5qeF72UPjoa0bhkrPQIR1OChGxqsnpEvpAMfGzG26Wo2VQadXyS4cg16nrLmPHOmI7kNIrLS16b1zAbC0gOUHSA3EWvQFC8ES4lHJCU/e/17iuNybAQs4uJzhVGylFNO6tpPHqXnijjqnczURox/uFuK/pApHoQkBEYTaKZ/e2nKhgpZ0rh9K+TJ0+mZ555RgQZ5SDb48ePD2Rc2bJliwjA/dJLL9HQoUNFOtlJkyaJWFQcy4OVL9dcc41QcmiBSNnyhC08+DfHoeLUtex2c9NNN6XkOAAAAAAQPyx3GMkeqZI78hEoOgAAAOQ1DVl0pIpXXnlFKDdYmcHZVthK4/HHHw8sZ+UHW2zU1tYG6h555JHAuuyKMnLkSHr66acDy9ni46mnnqK//vWvQljq2bMnPfzww0KhAkB2ky4ldaz3gDQq0SXzbke1aMgnMs4yJwuuK5BSvG7FUPZQ3Mi6kiyg6AAghWiBSEEQYWXBWS7S3REAQhQdxlekGiVAbmNhq4y5c+eaLu/WrVvEzA5babAig4sRbCXCBQCQLLL0GZ6l3c4fcILyHZ+iQzGsB8kBio44OXTgoJh9tQEAACSH8PSuyYRjx5lFOU+lRQcAsXDowIGQOwAAIIfkDi0Wh9dqYNHhgaIjWUDRAQAAIL9RzV1XGhM3BgAAAADACJ5g8VoiZQ+kl00eUHQAAADIa9g9xNRFBXoOAAAAACQZ1WvsHptKl9l8A4oOAAAAeU30YKQwIQUAAABACiw6ZAQjTSVQdAAAAMhrfDE6TIKRQt4AAAAAQJLhWBxe2SAYKWJ0JA0oOgAAAOQ3nAXIzKLDC4EDAAAAAMmF5Q6FImUPFRYdSQOKjhjRUvxxBN7wdH8AAABSS1VVlfhMxf1XuK4g6wrIMCB3AABAbsodmuWGVzIIRupBMNJkAUVHnBd7r549090VAADI63txs2bNktomCzGKSfAvvF+CdAG5AwAAclPu0IKOKnKkkGEmj4D4gaIjRjp06ECbNm2i0tJSkiSJMgGe5encubPoV1lZWbq7kzFgXCLBmBiDccmecWFlBAsbfC9ORdumriuw6ABpIhPljky9P6QbjIkxGJdIMCbZMy6plDsYxe0lhVOvhO8XritJA4qOGJFlmTp16kSZCN8QMuWmkElgXCLBmBiDccmOcUnFjEogGKnLJBgpZlZAmshkuSMT7w+ZAMbEGIxLJBiT/JY7GA6C7jXI7GYWHD1Z7N27l6655hp69913xXNm3Lhx9Nhjj1FJSYnpNs8++yzNnTuXvvvuO6H82bdvH5WXlze63VQjp23PAAAAQIbM2rgVxbAoBEUHAAAAAJKLRzGWPTwpTvc2YcIE+vnnn2nRokX03nvv0WeffUaXXnpp1G1qa2tp1KhRdNtttyW13VQDiw4AAAB5DXunuExcVOC5AgAAAIBkw3KHS4oUMlJp0LFmzRpauHAhLV++nIYMGSLqnnjiCRo9ejTNnDnT1E3n+uuvF5+ffvppUttNNbDoyGIcDgdNnz5dfIIgGJdIMCbGYFyMybdxYTGDPVSMChQdAOT3/SEWMCbGYFwiwZgYk4/jojQgd3DcEn1xOp2N3ufSpUuFy4mmjGCGDx8uXE2++eabjGu3scCiI4vhm8Gdd96Z7m5kHBiXSDAmxmBcjMm3cVFU1dyiA64rAOT1/SEWMCbGYFwiwZgYk4/jYm7RoQqlRnh8EFYENXaMtm/fTm3atAmps1qt1KJFC7Es09ptLFB0AAAAyGvYShSuKwAAAABoKtwmkyxcz4qfnTt3htRHs3aZOnUq/eMf/4i6vzVr1lC+AUUHAACAvCZajA6vCk0HAAAAAJILW264DKxGuZ4svgw0sXLjjTfSxIkTo67To0cPateuXYQCxePxiIwpvCxRUtVuY4GiAwAAQF4T1XUFeg4AAAAApMJ1JYqiIx5at24tSkMMGzaMKioq6Ntvv6XBgweLuiVLlpCiKHT44YfHt9MmaLexIBgpAACAvCZaMFLoOQAAAADQVMFIvSncZ9++fUWa2MmTJ9OyZcvoyy+/pKuvvprGjx8fyIyyZcsW6tOnj1iuwXE2Vq5cSevWrRO/f/rpJ/GbLTZibTcdQNGRYaiqStOmTaP27dtTYWGhiFj722+/xbz9/fffT5IkBdIAadTX19NVV11FLVu2pJKSEho3bhzt2LGDcnlcZsyYQYcddhiVlpaKADljxoyhtWvX5sy4PPXUU9StWzcqKCgQ2lL9DcmI+fPnixsXr3/IIYfQBx98kNRrLxvH5bnnnqNjjjmGmjdvLgofc/j6uTAu8V4rGvPmzRP3E/7bybUxMXJdMSosdACQ60D2iARyRySQO4yB3GEMZI/omMkdwqIjhbzyyivi7/LEE08U6V+PPvpoevbZZwPL3W63uG/V1tYG6p555hkaOHCgUGQwxx57rPj9zjvvxNxuWlBBRnH//ferzZo1U99++231hx9+UE877TS1e/fual1dXYPbLlu2TO3WrZvav39/9brrrgtZdvnll6udO3dWFy9erK5YsUI94ogj1COPPFLN5XEZOXKkOmfOHHXVqlXqypUr1dGjR6tdunRRq6urs35c5s2bp9rtdnX27Nnqzz//rE6ePFktLy9Xd+zYYbj+l19+qVosFvWBBx5QV69erd5+++2qzWZTf/rpp6Rce9k6Lueee6761FNPqd9//726Zs0adeLEiWIMNm/enDPjEu+YaGzYsEHt2LGjeswxx6inn356yLJsHxM9jzzyiNpXLlanFxxgWAZaStVp06alu5sApBTIHpFA7ggFcocxkDuMgewRHX4Fv97R1VDuuMLeWS0rK0t3F3MCKDoyCEVR1Hbt2qkPPvhgoK6iokJ1OBzqq6++GnXbqqoqtVevXuqiRYvU4447LkTY4Db44TJ//vxAHd9c+Y9s6dKlai6Pi56dO3eKY/7vf/+b9eMydOhQ9aqrrgr89nq9aocOHdQZM2YYrn/WWWepJ598ckjd4Ycfrl522WVJHeNsG5dwPB6PWlpaqr744os5My6JjAmPAwvezz//vHrhhReGCBu5MCbhio4DpSL1VnsPw3KoDEUHyG0ge0QCuSMSyB3GQO4wBrJHdPhv/ipbF0O54xJrJyg6kgRcVzKIDRs2CB8oNsXS4BzKbO61dOnSqNuyGeTJJ58csq0GB4ZhMyT9MjYt6tKlS4PtZvu46KmsrBSfnNM5m8fF5XKJvuv7Lcuy+G3Wb64PvzZGjhwZWD9ZY5xt4xIOm+nxNaFdI9k+LomOyd133y3MridNmhSxLNvHJFp6WaPCgUoByGUge0QCuSMUyB3GQO4wBrJHI11XIHckDWRdySD4D5hp27ZtSD3/1paZ+bJ99913tHz5ctN27XY7lZeXx9Vuto+LHo76y77DRx11FPXr1y+rx2X37t3k9XoNx+OXX34x3IaPJ9r4JWOMs3FcwrnllltE0CTtQZrt45LImHzxxRc0a9YsEWTKiGwfEyNYpjBLIwtxA+Q6kD0igdwRCuQOYyB3GAPZIzZ4IsVrIGVggiV5wKIjjXDQFg5EpRXW6MbLpk2b6LrrrhNtcbCfXCAZ42I067Rq1SohmAFgFkyPr4+33norZ/6W4qWqqorOP/98ESytVatWlC9Es+hAMFKQa0D2iARyB0gHkDvyW/ZIVzDSfAIWHWnktNNOC8kt7HQ6xSdH3+aIwhr8e8CAAYZtsGnYzp07adCgQYE61qJ+9tln9OSTT4o227VrJ8zIOL+xfhaB2+VluTgueji90XvvvSfGpFOnToH6bBsXDX4IWCyWiCjt0frN9dHW1z4THeNsHReNmTNnCoHjP//5D/Xv3z9Qn+3jEu+YrF+/njZu3EinnnpqyKwkY7VaRRTubB+TcDp37kw7yElOVSFrmO5fIZW2kVOYlQOQK0D2iARyR3QgdxgDucMYyB4NU0wW2kL11EstiVi2mZxk3V+Xln7lGrDoSCOcfqxnz56BctBBB4k/5MWLFwfW2b9/P33zzTc0bNgwwzY4hY+Wy1grQ4YMoQkTJojvfKMZPHgw2Wy2kHb5pvHHH3+Ytpvt48JwrB8WNlhTvmTJEurevXvI8mwbFw02e+W+6/vNDwT+bdZvrtevzyxatCiwPo9NImOc7ePCPPDAA3TPPffQwoULxd+Onmwfl3jHhH3Fw+8n/AJw/PHHi++sFMj2MQln7NixVEgWWkVVEct+oWpSSaULLrggLX0DIBVA9ogEckd0IHcYA7nDGMgeDfPUC7NoGVWQJ8x1xUUKraAKmv32/LT1LadIVlRTkBw4dRKnX/r3v/+t/vjjjyLicHjqpBNOOEF94oknTNsIj3yupTPjFGdLliwR6cyGDRsmSi6PyxVXXCHSUH366afqtm3bAqW2tjbrx4XTdnGk6RdeeEGkbbv00kvF+Gzfvl0sP//889WpU6eGpHmzWq3qzJkzRYT36dOnG6Z5a2iMc21c+Jg5/dmCBQtCrhHOJJAr4xLvmIQTHvk8F8YkHE7zaCdJvYA6qZdRV1Eups5qIcnqG2+8ke7uAZByIHtEArkjFMgdxkDuMAayR3Q4w0xLsqlHUHlA7uAyiJqp7cghssyAxgNFR4bBF/Ydd9yhtm3bVtwgTjzxRHXt2rUh63Tt2lU8MOIRNvgmcOWVV6rNmzdXi4qK1LFjx4obay6Piz+OYEThHPe5MC4sXLGwxA9MTuP19ddfh1wD/JDQ8/rrr6u9e/cW6x988MHq+++/H/cY59q48DVjdI3or6NcGJd4r5WGhI1cGJNwulCh2o9KA8LGYAgbII+A7BEJ5I5IIHcYA7nDGMge0fn4449VO8nqhf5JlvOoo2olSf3mm2/S3bWcQeL/0m1VAgAAAKSTn3/+mQ7tdwidSe3JShLNo6302VdfZqVJLAAAAAAyn85SITUnGx1JLehT2i1cWdapNenuVs4ARQcAAABARH2lUuEfaydZfK6HsAEAAACAFPHjjz/SoEMH0HBqRf+h3fTr+nXUo0ePdHcrZ4CiAwAAACCirVu3UteOnUQA0l9++00EJQQAAAAASBV9pBL6lWqoH5XSj+r+dHcnp4CiAwAAAPBzgtRKmI5+pu5Jd1cAAAAAkONs3ryZRnbuS5/t3kgtW7ZMd3dyCig6AAAAAAAAAAAAkDPI6e4AAAAAAAAAAAAAQLKAogMAAAAAAAAAAAA5AxQdAAAAAAAAAAAAyBmg6AAAAAAAAAAAAEDOAEUHAFnOrFmzaMSIEWnZ99SpU+maa65Jy74BAAAAkB4gewAAMh1kXQEgi6mvr6cePXrQ/Pnz6aijjmry/e/evVvsf+XKleITAAAAALkNZA8AQDYAiw4AspgFCxZQWVlZWgQNplWrVjRy5Ej65z//mZb9AwAAAKBpgewBAMgGoOgAIAPYtWsXtWvXju67775A3VdffUV2u50WL15sut28efPo1FNPDambOHEijRkzRrTVtm1bKi8vp7vvvps8Hg/dfPPN1KJFC+rUqRPNmTMnsM3GjRtJkiR6/fXX6ZhjjqHCwkI67LDD6Ndff6Xly5fTkCFDqKSkhE466STRVz28f+4HAAAAALIHyB4AgFwGig4AMoDWrVvT7Nmz6c4776QVK1ZQVVUVnX/++XT11VfTiSeeaLrdF198IQSBcJYsWUJbt26lzz77jB5++GGaPn06nXLKKdS8eXP65ptv6PLLL6fLLruMNm/eHLIdr3f77bfTd999R1arlc4991yaMmUKPfbYY/T555/TunXraNq0aSHbDB06VLTDAgsAAAAAsgPIHgCAnIZjdAAAMoMrr7xS7d27t3ruueeqhxxyiFpfX2+67r59+zi+jvrZZ5+F1F944YVq165dVa/XG6g78MAD1WOOOSbw2+PxqMXFxeqrr74qfm/YsEG09fzzzwfW4WVct3jx4kDdjBkzRFt6KisrxXqffvppI48eAAAAAE0NZA8AQC5iTbeiBQAQZObMmdSvXz8R4Ovbb78lh8Nhum5dXZ34LCgoiFh28MEHkywHDbbYjJTb1bBYLNSyZUvauXNnyHb9+/cP2YY55JBDQurCt2FTU6a2tjauYwUAAABA+oHsAQDIReC6AkAGsX79emH2qShKg+aYLCywb+u+ffsiltlstpDfvJ5RHe/HbDteblQXvs3evXsDJrAAAAAAyC4gewAAchEoOgDIEFwuF5133nl09tln0z333EOXXHJJxAyGHg4WdtBBB9Hq1aspnaxatUoIJDyTAwAAAIDsAbIHACBXgaIDgAzhb3/7G1VWVtLjjz9Ot9xyC/Xu3ZsuvvjiqNtwejUOCpZOOFCYFi0dAAAAANkDZA8AQK4CRQcAGcCnn35Kjz76KL388ssiNz37uPJ3fpBHyxM/adIk+uCDD4SQki44vdvkyZPTtn8AAAAAxA9kDwBALiNxRNJ0dwIAkDhnnnkmDRo0iG699dYm3/eHH35IN954I/34448iJRwAAAAAch/IHgCATAcWHQBkOQ8++CCVlJSkZd81NTU0Z84cCBoAAABAHgHZAwCQ6cCiAwAAAAAAAAAAADkDLDoAAAAAAAAAAACQM0DRAQAAAAAAAAAAgJwBig4AAAAAAAAAAADkDFB0AAAAAAAAAAAAIGeAogMAAAAAAAAAAAA5AxQdAAAAAAAAAAAAyBmg6AAAAAAAAAAAAEDOAEUHAAAAAAAAAAAAcgYoOgAAAAAAAAAAAEC5wv8DVvP+59SPhdwAAAAASUVORK5CYII=",
       "text/plain": [
        "
"
       ]
@@ -960,7 +959,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -1006,7 +1005,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -1051,7 +1050,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -1125,7 +1124,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkwAAAGBCAYAAACU+u40AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjMsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvZiW1igAAAAlwSFlzAAAPYQAAD2EBqD+naQAAmahJREFUeJzsnXl8XFX5/9/3zpp1kkmapHsLZReobAUEQejXgsiigBS/yCogiwoVERQpFPxWKQJfZROUfbWC4E/5FqWALLIvsoq0dG+SNpmZ7Jntnt8fM5nMcieZydyYmc7zfr3mlTt3zjn3OZ/nueee3OW5mlJKIQiCIAiCIGRFn2gDBEEQBEEQih2ZMAmCIAiCIIyCTJgEQRAEQRBGQSZMgiAIgiAIoyATJkEQBEEQhFGQCZMgCIIgCMIoyIRJEARBEARhFGTCJAiCIAiCMAoyYRIEQRAEQRgFmTAJgvAf4/nnn0fTNJ5//vmJNkWwmN///vd4vV56e3sn2pQEt99+OzNmzCAYDE60KcI2gEyYBEGwnFtvvZV77rlnos0YEw899BA33XTTRJsBgGEYXHfddcyePRu3280ee+zBww8/nHP9QCDAOeecw6RJk6iqquJLX/oSb7/9tmnZP/3pT+y111643W5mzJjB4sWLiUQiOW0nGo2yePFivvvd71JdXZ2zfePN6aefTigU4je/+c1EmyJsCyhBEASL2W233dQhhxySsT4ajaqBgQEVjUYnxK5cOOqoo9TMmTMn2gyllFKXXXaZAtTZZ5+t7rjjDnXUUUcpQD388MOj1o1Go+rAAw9UVVVV6qqrrlI333yz2nXXXVVNTY3697//nVL2qaeeUpqmqS996UvqjjvuUN/97neVruvqO9/5Tk52/vGPf1SapqmNGzeOua/jxaWXXqpmzpypDMOYaFOEEkcmTIIwTvT29k60CRNGtglTKVAsE6aNGzcqh8OhLrjggsQ6wzDUwQcfrKZNm6YikciI9R999FEFqOXLlyfWbdmyRdXV1amTTz45peyuu+6q9txzTxUOhxPrfvKTnyhN09THH388qq3HHHOMOuigg/Ls4X+GN998UwFq5cqVE22KUOLIJTlByIFNmzZx1llnMWXKFFwuF7Nnz+a8884jFAoBcM8996BpGn//+985//zzaWpqYtq0aYn6t956K7vtthsul4spU6ZwwQUXEAgEUrbx6aefcvzxx9PS0oLb7WbatGksXLiQrq6uRJm//e1vHHTQQdTV1VFdXc1OO+3Ej3/841Htz6VeMBhk8eLFzJkzB5fLxfTp07n00ktN7/944IEH2G+//aisrKS+vp4vfvGL/PWvfwVg1qxZfPjhh/z9739H0zQ0TePQQw+FEe5hWr58OXvvvTcVFRU0NjZyyimnsGnTppQyp59+OtXV1WzatInjjjuO6upqJk2axCWXXEI0Gh1VgyeffJKjjjoq4cPtt9+ea665JqXuoYceyl/+8hfWrVuXsH3WrFlZ2zz99NMT5dI/V1111ag2jWZvOBzm/PPPT6zTNI3zzjuPjRs38sorr4xY/w9/+APNzc18/etfT6ybNGkS3/jGN3jyyScTfv3oo4/46KOPOOecc7Db7Ymy559/Pkop/vCHP4y4ncHBQVasWMH8+fMzftM0jQsvvJDly5ez6667UlFRwQEHHMD7778PwG9+8xvmzJmD2+3m0EMPZe3atSn1Dz30UD73uc/x3nvvccghh1BZWcmcOXMSNv39739n3rx5VFRUsNNOO/HMM89k2LD33nvj9Xp58sknR+yHIIyGPYcyglDWbN68mf322y9xP8jOO+/Mpk2b+MMf/kB/fz9OpzNR9vzzz2fSpElceeWV9PX1AXDVVVdx9dVXM3/+fM477zw++eQTbrvtNt544w1efvllHA4HoVCIBQsWEAwG+e53v0tLSwubNm3iz3/+M4FAAI/Hw4cffshXv/pV9thjD5YsWYLL5WLVqlW8/PLLI9qfSz3DMDjmmGN46aWXOOecc9hll114//33ufHGG/n3v//NE088kSh79dVXc9VVV3HggQeyZMkSnE4nr732Gs8++yxf/vKXuemmmxL3svzkJz8BoLm5Oat999xzD2eccQb77rsvS5cupb29nf/93//l5Zdf5p133qGuri5RNhqNsmDBAubNm8f111/PM888wy9/+Uu23357zjvvvBF1uOeee6iurmbRokVUV1fz7LPPcuWVV9Ld3c2yZcsA+MlPfkJXVxcbN27kxhtvBBjxnpxzzz03Y6KwYsUKHnzwQZqamhLrOjo6RrRtiJqaGlwuFwDvvPMOVVVV7LLLLill9ttvv8TvBx10UNa23nnnHfbaay90PfX/4v3224877riDf//73+y+++688847AOyzzz4p5aZMmcK0adMSv2fjrbfeIhQKsddee5n+/uKLL/KnP/2JCy64AIClS5fy1a9+lUsvvZRbb72V888/H7/fz3XXXceZZ57Js88+m1Lf7/fz1a9+lYULF3LiiSdy2223sXDhQh588EEuuugivvOd7/DNb36TZcuWccIJJ7BhwwZqampS2thrr71G3U8EYVQm+hSXIBQ7p556qtJ1Xb3xxhsZvw3dF3H33XcrQB100EEpl0q2bNminE6n+vKXv5xy387NN9+sAHXXXXcppZR65513Mi6fpHPjjTcqQG3dujUv+3Opd//99ytd19WLL76Ysv72229XgHr55ZeVUkp9+umnStd19bWvfS3jPqTke0SyXZJ77rnnFKCee+45pZRSoVBINTU1qc997nNqYGAgUe7Pf/6zAtSVV16ZWHfaaacpQC1ZsiSlzc9//vNq7733HlWH/v7+jHXnnnuuqqysVIODg4l1hVyS+/TTT5XH41H/9V//lRIHQE6fu+++O8WO7bbbLmMbfX19ClCXXXbZiLZUVVWpM888M2P9X/7yFwWoFStWKKWUWrZsmQLU+vXrM8ruu+++av/99x9xO7/97W8VoN5///2M3wDlcrnUmjVrEut+85vfKEC1tLSo7u7uxPrLL79cASllDznkEAWohx56KLHuX//6lwKUruvq1VdfTax/+umnMzQc4pxzzlEVFRUj9kMQRkMuyQnCCBiGwRNPPMHRRx+d8R848UsOyZx99tnYbLbE92eeeYZQKMRFF12U8p/+2WefTW1tLX/5y18A8Hg8ADz99NP09/eb2jJ0puXJJ5/EMIyc+5BLveXLl7PLLruw884709HRkfgcdthhADz33HMAPPHEExiGwZVXXplx5iJdi1x488032bJlC+effz5utzux/qijjmLnnXdO6JPMd77znZTvBx98MJ999tmo26qoqEgs9/T00NHRwcEHH0x/fz//+te/8rY9nb6+Pr72ta9RX1/Pww8/nBIHf/vb33L6LFiwIFFnYGAgcbYpmSGdBgYGRrQn1/pDf7OVHW07nZ2dANTX15v+fvjhh6dc1pw3bx4Axx9/fMqZoKH16b6srq5m4cKFie877bQTdXV17LLLLok6I9Ufsm1gYCDrviUIuSCX5ARhBLZu3Up3dzef+9zncio/e/bslO/r1q2D+CCfjNPpZLvttkv8Pnv2bBYtWsQNN9zAgw8+yMEHH8wxxxzDKaeckphMnXTSSfz2t7/l29/+NpdddhmHH344X//61znhhBMyJi/J5FLv008/5eOPP2bSpEmmbWzZsgWA1atXo+s6u+66a056jEY2fQB23nlnXnrppZR1brc7w8b6+nr8fv+o2/rwww+54oorePbZZ+nu7k75Lfk+sbFy9tlns3r1av7xj3/Q0NCQ8pvZ/T2jUVFRYXr/2ODgYOJ3K+oP/c1WdrTtDBE7oZTJjBkzUr4PxfP06dNN16f7ctq0aRmTcY/Hk3P9ZNvGMqkXhCFkwiQIFpLrwcWMX/7yl5x++uk8+eST/PWvf+V73/seS5cu5dVXX2XatGlUVFTwwgsv8Nxzz/GXv/yFFStW8Oijj3LYYYfx17/+NeWMRrpNo9UzDIPdd9+dG264wbSN9IPTRJGtj6MRCAQ45JBDqK2tZcmSJWy//fa43W7efvttfvSjH+V1xs6M//3f/+Xhhx/mgQceYO7cuRm/t7W15dSOx+NJxNDkyZN57rnnUEqlHOhbW1shfo/RSEyePDlRNpn0+pMnT06sT/dza2tr4p6pbAxNDv1+f8qDDkNk81m29ekTr0LrD9lWWVlZ0P4pCHJJThBGYNKkSdTW1vLBBx+Mqf7MmTMB+OSTT1LWh0Ih1qxZk/h9iN13350rrriCF154gRdffJFNmzZx++23J37XdZ3DDz+cG264gY8++oif/exnPPvss4lLZtkYrd7222+Pz+fj8MMPZ/78+RmfoTNA22+/PYZh8NFHH424vVz/k8+mz9C6dH3GyvPPP09nZyf33HMP3//+9/nqV7/K/PnzTS8j5XsW4sUXX+SSSy7hoosu4r//+79Ny0yePDmnz6OPPpqoM3fuXPr7+/n4449T2nrttdcSv4/E3LlzefvttzMmg6+99hqVlZXsuOOOKe28+eabKeU2b97Mxo0bR93OzjvvDMCaNWtGLDeRrFmzJuPmeUHIF5kwCcII6LrOcccdx//7f/8v44DCCJchhpg/fz5Op5Nf/epXKWV/97vf0dXVxVFHHQVAd3d3Rlbl3XffHV3XE5dKfD5fRvtDB7ORXv2QS71vfOMbbNq0iTvvvDOj7MDAQOKJv+OOOw5d11myZEnGgTi5f1VVVRlpE8zYZ599aGpq4vbbb0/pw//93//x8ccfJ/QplKGzEck2hkIhbr311oyyVVVVOV+ia21t5Rvf+AYHHXRQ4kk7M8ZyD9Oxxx6Lw+FIsVEpxe23387UqVM58MADU+z417/+RTgcTqw74YQTaG9v5/HHH0+s6+joYPny5Rx99NGJe5Z22203dt55Z+64446UFAu33XYbmqZxwgknjKjB3nvvjdPpNN0/ioW33347RS9BGAtySU4QRuF//ud/+Otf/8ohhxySeOS+tbWV5cuX89JLL6U89p7OpEmTuPzyy7n66qs54ogjOOaYY/jkk0+49dZb2XfffTnllFMAePbZZ7nwwgs58cQT2XHHHYlEItx///3YbDaOP/54AJYsWcILL7zAUUcdxcyZM9myZQu33nor06ZNG/Hx8lzqfetb3+L3v/893/nOd3juuef4whe+QDQa5V//+he///3vefrpp9lnn32YM2cOP/nJT7jmmms4+OCD+frXv47L5eKNN95gypQpLF26FOIH0dtuu41rr72WOXPm0NTUlLiBPBmHw8EvfvELzjjjDA455BBOPvnkRFqBWbNmcfHFFxfsP4ADDzyQ+vp6TjvtNL73ve+haRr333+/6YR377335tFHH2XRokXsu+++VFdXc/TRR5u2+73vfY+tW7dy6aWX8sgjj6T8tscee7DHHnvAGO9hmjZtGhdddBHLli0jHA6z77778sQTT/Diiy/y4IMPplySuvzyy7n33ntZs2ZN4gbrE044gf33358zzjiDjz76iMbGRm699Vai0ShXX311yraWLVvGMcccw5e//GUWLlzIBx98wM0338y3v/3tUc/MuN1uvvzlL/PMM8+wZMmSvPs53rz11lv4fD6OPfbYiTZFKHUm+jE9QSgF1q1bp0499VQ1adIk5XK51HbbbacuuOACFQwGlUpKK2CWekDF0wjsvPPOyuFwqObmZnXeeecpv9+f+P2zzz5TZ555ptp+++2V2+1WXq9XfelLX1LPPPNMoszKlSvVscceq6ZMmaKcTqeaMmWKOvnkkzNec5FOrvVCoZD6xS9+oXbbbTflcrlUfX292nvvvdXVV1+turq6Usredddd6vOf/3yi3CGHHKL+9re/JX5va2tTRx11lKqpqVFAIsVAelqBIR599NFEe16vV/33f/93xms2TjvtNFVVVZXRv8WLF6tchrKXX35Z7b///qqiokJNmTJFXXrppYlH0ZPt6e3tVd/85jdVXV2dAkZMMTD02LvZZ/HixaPaNBrRaFT9z//8j5o5c6ZyOp1qt912Uw888EBGuaGUC8mP5CullM/nU2eddZZqaGhQlZWV6pBDDskao3/84x/V3LlzlcvlUtOmTVNXXHGFCoVCOdn5+OOPK03TMlITACmZypVSas2aNQpQy5YtS1k/FBvJqTUOOeQQtdtuu2Vsb+bMmeqoo47KWG+2vR/96EdqxowZ8moUoWA0Ndo1BUEQBEEYgWg0yq677so3vvENrrnmmok2J0EwGGTWrFlcdtllfP/7359oc4QSR+5hEgRBEArCZrOxZMkSbrnlFnp7eyfanAR33303DocjI3eXIIwFOcMkCIIgCIIwCnKGSRAEQRAEYRRkwiQIgiAIgjAKMmESBEEQBEEYBZkwCYIgCIIgjEJRJq685ZZbWLZsGW1tbey55578+te/zvo+ow8//JArr7ySt956i3Xr1nHjjTdy0UUXpZS56qqrMhK17bTTTnm9odwwDDZv3kxNTY28wFEQBEEQSgSlFD09PUyZMmXEF5Xn0lBR8cgjjyin06nuuusu9eGHH6qzzz5b1dXVqfb2dtPyr7/+urrkkkvUww8/rFpaWtSNN96YUWbx4sVqt912U62trYnP1q1b87Jrw4YNClDXcI1qpjmWeI1lyoNHuXCpZSxTLlzKg0ctY5kCVDPN6hquiSW/Y6b6CT9RgNqRHdUP+IEC1B7soS7kQgWo/dhPfZtvK0B9kS+qUzhFAeq/+C91AicoQB3N0epojlaAOoET1H/xXwpQp3CK+iJfVID6Nt9W+7GfAtSFXKj2YA8FqB/wA7UjOypA/YSfqJnMHPc+fZEvqmUsU7XUjrlPtdSq67gu0b+J7tN/yk+11KplLFO7sEtBfdqFXdR1XKdqqZ3wPm2LfpI+SZ+kT8XfJ0Bt2LBhzHMTVYyJK+fNm8e+++7LzTffDPEzO9OnT+e73/0ul1122Yh1Z82axUUXXWR6humJJ57g3XffHbNdXV1d/PJ7s9lpoJ5Km0LTFUbYgWaPvbtJRVKXbe4guqYwIg5szhCbAlGI2pnaoFCGhora0R1hlKFjhHWUBiqqo5SObo+kLLcGYu/smlynowwdmz2Kbo9iRGyggW6LYkTsoKnYctiOphtoNoNQv5v2viCabtDkrkSzRYZtT1t2uMNs6tTBHmJKrR0j7ER3hGJ+CDuxOUMoQ2OzX0MRpbnKmehHa1cEDDuT60EZMTt1e4TWrijoiukNYERttHZF0ewRWqpcoEC3R1mz2cm//noEh574V+z2KG1dUTRblKaKCjTNoLU3TKR1O6bO3oTNFcGIxPrXPjiAZtiZUgearoiGHei2CK29YVTYyZT6mJ+iISfYwhgRGyrioH2gH4Dmisq4D5L9oYGy4agYjPU1AJo9zORqJyqqozvivjFiy9GIjWjIkfBZW08kZnulGxjyjQ1NU2g2A10n4adNPkA3mFqnx3xmM9B0I+GPTX4DFXHQ4tHMfWYPs26rjU+fWcDBX/8rVTWDKX4air0NPkW0dQ4zdlqDpisiQReaLZLw05aBAZSh01zlyog9NNA1NRxvxHy2yQ+gmFqvJWIPzSAy6ELTYrE35KfkPg3ZrjtDbBkIZvgpOd6GlqNBJ+hGhp/MllEauq5oGxhEGTqTq5zojghG1Bb7zT60HOtHaMBl6icjYk/th2bgqAiZ+ik59ob6oZQBGrT6NLCHaKlxZIwRQ7ZraNjdcZ9F7dgy+qcnYi8SsmNE7Bl+ii1rMT9FY36yu0Jg6KZjRHrsKS02LpmNCxnLETuOisEMP5nFnhHViAy6TXw2PEYk90O3KVM/mcVec5XD1E9msWd3D6LbMv2k28MZsRcecKPZIhl+Mos3TTfQlC3DT8ljxFDsoUeJBh0ZfjKNPXsEhzOSMpYnx94mnwZ6hKl1NqJBB4Yi6xiRfHzSNIWGLcNP2WIvPOg09ZNZ7Dkrgyl+Gun4ZEQ1iMdStjFiaBlDx+bM9NNQ7G3ujkDEydQGg0jYhhFyZvipL2hwymPrCQQCeDyeMc8DiuqSXCgU4q233uLyyy9PrNN1nfnz5/PKK68U1Pann37KlClTcLvdHHDAASxdupQZM2ZkLR8MBlNeBtrT08PMFgcHusBjcySVdGZZdict2/msM+bk7RqSyyS3k0xqm5l183PbZ502wMZ2DVraNtOXHXxWEwLcWbZlj7cXAnS2axiq7+SzTkz652RVewTfuhnsNa0Nu92I17WnlKvT7ASZzbxp1VR7+vmsU8Xb1wGdzzoN2G5dvM5QPZ3POl0m23TE+5u+frgfn3U64r9rI/ivMqmvtqS2spV3xssbcduH3vNlIxsxrdPtHO5HQrs5Me2G1idv8yO3nQizOXBmNdWeoVPNqT77rCYEM9exXYM7pW6mHvoI/cvHdj3LcrLtLj7r1EzayIy3TEb2AZAWj7n0ycxP6f0wsyfb/jRkRwhw5BA/yW1na3P0fqf2o8LE3rhdo8Te6MuVWWzPtpyL7WONvWzxlrycrEVyP6yyNxc/JWPLspxcbzQNbDn4L5d4syr2kmMiH7KNEbn4KfnYaj6+gZPuwdhLpQu9naaoJkwdHR1Eo1Gam5tT1jc3N+d1v1E68+bN45577mGnnXaitbWVq6++moMPPpgPPviAmpoa0zpLly7NuO/pt5c2sbErQqcyTOuMxIZAOIdS1tfNt34uZc3KZKu3rt3Juqe+QnXzPbirB03LtcZfDL8+EMIdCWWUWbPJybrHz2bwjLtxV/ePus3R+mC1HuPVdrp2ZqRrZ0Y2/cZicyF1xqONiWg7H4rFjnSK1a5cKGXbrUI0GCYXLXpD+R+zzSiLp+SOPPJITjzxRPbYYw8WLFjAU089RSAQ4Pe//33WOpdffjldXV2Jz4YNG7DpcrN3vtir+tj+W/9reqDOFb2ij6lHPISzcuxtlCJWaEcZ6ycIgmAlRXWGqbGxEZvNRnt7e8r69vZ2WlpaLNtOXV0dO+64I6tWrcpaxuVy4XK5UutV60xz2PHYxi6b+SnU8a+bb/1cypqVSV8Xjei0/2snZsxYg91hmJYb7LWzDphR56TaE8koYxgQcgbZrsGJ2QMO2WwdrQ9W62F129m0SyabdsmMpt9YbC6kzni0MRFt50Ox2JFOsdqVC6Vsu1WIBsOMpMXQJblCKaozTE6nk7333puVK1cm1hmGwcqVKznggAMs205vby+rV69m8uTJedUL9FpzWq+cCA+6+ffzhyZurh0Lof5KXr37DPp7xnqNvDSxQjvKWD9BEAQrKaozTACLFi3itNNOY5999mG//fbjpptuoq+vjzPOOAOAU089lalTp7J06VKI3yj+0UcfJZY3bdrEu+++S3V1NXPmzAHgkksu4eijj2bmzJls3ryZxYsXY7PZOPnkk/OyLWoouYcpz3uYtkb62P6UX9EWdkCnebnR7mFqD/Ux8+t30hYKoXeOvs1t5R6mdO3MyOUepmz6jcXmQuqMRxsT0XY+FIsd6RSrXblQyrZbhWgwzH/yHqaimzCddNJJbN26lSuvvJK2tjbmzp3LihUrEjeCr1+/PiXx1ObNm/n85z+f+H799ddz/fXXc8ghh/D8888DsHHjRk4++WQ6OzuZNGkSBx10EK+++iqTJk2agB6WF0ZEp+vjvZlywHvY7GMP2kh/FWA+IdhWsUo7ylQ/QRAEKym6CRPAhRdeyIUXXmj629AkaIhZs2YxWiqpRx55xDLbpnnkHqaRyqSvC/bZWPv+PKYe/hmVNYOm5Ua7h2mwt5JXV3yTL1z8INWezBuXt9V7mLJpl0wu9zCNpt9YbC6kzni0MRFt50Ox2JFOsdqVC6Vsu1WIBsP8J+5hKsoJk7Dt4Koa4JDzf0Nlzdh3bHd1P4d+9xaqPeU1OFihHWWsnyAIgpUU1U3fwrZHJGRn1YsHEgllDzXdHqGizo/dkeUpr4hOx+pZRCLlFa5WaEcZ6ycIgmAlcoYpT+Sm7/xu+t7QaWPTB7uxau+3cVZm3tAN0D4YZsrR97J5wAEDmW1lS+C4rd/0na6dGenamTFaAky56Xv8KBY70ilWu3KhlG23CtFgmLK+6buYqavWwfxWEiEL9opBtjv5VpyV2V4Dk0MbiQSOY2+jFLFCO8pYP0EQBCuRCVMehMJKbvoepUz6ukjIzqd//yLTvvYqTlfmDd0j1R36PloCx231pu9s2uW7vVwSYOZrcyF1xqONiWg7H4rFjnSK1a5cKGXbrUI0GKbsElcWO/3BkZ/GEzIxInY6184iEh77JNOqBI6lhhXaUcb6CYIgWImcYcqTzzbZqbSBpisiIQc2R+z6aTScuuxwB9F1g2jEjt0ZZr0vgoragRCGoWHE1xtRnWjEhqaBEdVRho7NEYkva9gcUTZ22lBKIxJSGBEbNmcYmz0ar6fQbQbRsB1NN1KWNd0g1F9Ba48NTTcI9tnQbdFh2+2RlGW7K8T6rRqaI4RSmX2yO8MoQ2N9hwaaIjxIon8bfToqaovZGNVQhg2bI8LmrjDTjr2LtiAY/Tob/ArdHu+f0rDZo6zrHDrrESI06GSz34ZmMwj26Wi6or1/gJlf/y3ru3X0PhXvX5S2fgNl6BhGGD3eD90eYVN3GCPkRBnhRP80PYoRtRENO2jri/VpsNee6NNQP5ShYURtuKoGMAyNDZ2gO8ImvoktR8O2eBxEMaI6m/x2dHuUUH/sfxE9zU+aphJ+Wrc1tgyhFP8N9aO1F6Z+5QE2dIHWY+IzR5hNAQ0VcWBEY31N9tNQn7aE+pl90m20hcHYqhEZdKHbowk/tfVpqKhOsM+WEXug0HSViDcg5rMOg9iLv4dtBwgPutLiMIpui/ksOfbszhCt/Zl+MtufwkEnuq4y/JTus5jtGja7wea+MCqqEw0bGT4bij3dFiU84Db1UzRsQ9NT9y2HO4gRyfRTcuwNLStDQ9MVG7Y60exhwkGVdX9SgNOdNi6kjRFDtoeDDoyIPcNPyfuTEfeT3RVCKc10jEiPvVhmFi3DT+ljRCzG7DgrB0zHvXTfGBGd0KDb1E9DY0Ry/3RbNMNP2WIvElKmfjKLPYcriG7P9Fn6/gQQ6q9At0ey9il5WdMMlNIz/GS2rOmx7af7ySz2dHsUhytsOq7H/AeaLWZjaNCJBuY+M9mfNI1MP5nEns0RJjzoNPWTWew5KwYxosN+Gun4FI3YRh0jhvphGBoOZ/YxYkMgjAo7gRCRkJ1IyJnRv16LbqXR1GhJjAQAuru7Wf6zHfAv+wGo0U/M9XxpkK6vBJlyZS3r7vYTfqWfWfe0sOk33VT804H3/go2Xd9N5asO6n9fiXOzLSc7otUGvV8M4Tu1n8bfVBLxKgInDtB0YzWDO0boPmqQ5v+poW//EH37B5l1pjfnPq69y8esM718eNUaqmZ4mHWml7V3+dAHNGZcUM+aR3w4NtiYfEUNofowFW25nbGIuKNsuLWL2ufc2N4zWHtGGzNfnIrdp9Fxbj9Vt8X07DvPYOrFtThbc5vHty3w4flnFV1nhBjYM8z08+vYclEvW2q3sPuPtqP12h7C06PMXuil85v9NDyU26tBDIdi3f1+Kv7pwHO3k08u28Dktc14/lJB6zXdVD/roupVJ+0/7qH+gQrq/lyRW7sVioE9wgk/NSx2E5jbS/Rrdib/tJauowbo3z/M1Etq8X1rgEnXV2EL53YSeNM1XUS9RoqfErH3Yj/b/24y6+/oouJjB003VKMHc3uRdN9eIQyPQce5/Xjvi+nnO7Wf2ptshD1RBs4gEXt6v0b9Y7lp0bdXkE9P3ZDhp/W3+DEqVEbs5UrYGyXaoPjXBWvxvlJL48f1tP+4h9q/uHH/286Wi3upW16B3afR+a3+vPePlqWZfkqOveCOEWaeUU+0NoqjPbc4NpyKdff5cf3bTtNN1Wy4NZAxRgzF3uTFNbg/ye1eNP/xA9h9mukYkR57wZkRPM+4c9Yim5/SY6/qRSdNt1TnpkOFwn/CQIafssVe0wv16AO5xfHWb/fROz+Y4afNS7pNYy9XAkcOUvm+PcNPyWPEUOyFpkVz3j8Gtw/T+rOexFjee1gwZYxouaiKzcd2on/JzYyz67D15DZOhFoiONvsGX4yi73NS7rz3j/q/zDsp5GOT84NOnZ/bsc8w6nY/DNzP629y0ff+i52u2o2ax7x0XRDFVWvZx6XQoT4CT+hq6uL2tranPuUjkyYcmRowrTxc2cRafSCTYM+BRWABvQDlYAi9rSSR4udvxsEqjR86zrQQlC/QyNEVCzpcqUWWx5QoGsQVhAF3BqEFBixZf/aTjQFdbMbYmUqNHBpEFSxbTs1GFSxC6xOLdaePX7+0Kfwt/vADvVeLziJ2d6vwMVwP9xAjYb/006UG7zTGzL7VKVBVOFf3Qk61Dd5IRjrh399J1oY6rZviPUpErO964NOplxTR98Deqzchk6UC7xNDbF2XRr+zzoAqN+uEboN/Bt84ID6Bi/o0PWpj2k/rKfnHg2a4n21g8/nQ4tC/awGsMf75ARfWydaP9Rv3zDcP7uCcMxPfr8PVFyPeJ+G/EQ0Xq5Bh4jCvzauR0tDbH1F3E+R+PKAEdMp7rPAJh/KCfWT4gONM81PNhJ+8q/qQNnBO6sx5jMHKf3o+mcnUxbX0XebDt4kPyXFnn+zD20Q6nbzxmIoyU9DfQr8s4Pp36un53EtFpfdKhY/cT/5O30Qgfpmb0bsgYrZNBRvDPtMaeCd3TgcewA9KtZHx7CfsMdjMjn2quL+S/eT2f7UE7ch3U/x2CMa358q4ssODV9nJ0TA29wQW5/cp5CKtesEAsrcT8n702C8Tx4ttv00P2Us9ykwYvt0YFUs3uunebPuTyjAo2eOC8nLQ7HXa8T6ne6noT654svE21eY9ikj9lBgmPgpfYywxct4NfNxL31/ChrQbeKnpDEiZdxzYN4ns9hrajD3k1ns1QAuPdNPafsTGtAZX5+tT8mxZ4vrlu6n5DFiyE86se2k+8ks9pxAjT48lju0lDHCv6oD5QDvzNiYCSZ+MtufiJ9iSu+TWexVEBsrzPxkFnv12vDLBEY7PoXi+/RIY8RQ7EUUVGtZ++Tb0Ik2CPU7NkK/Ab2Zfgp2D7LsxCsKnjDJJbl8aQRq40eHqqT/bpL/iapJWq6K/7WBGvrnwq4NK2/XoGaonaT2ktpWnlg8xtYllXElLbuTliuSlhs01NDj5o1J/4VUZdlWyk6VZFaiH9pwmdrh9lSNuY3RqbDh9gDeusZYuaHJvzNpm8n36tXqKM+Q7bH2o1Ng3YN+vNMaU+3tATV08CK+syf3w6YllddiO2A1qKGdumnIfg0S+1CSLnYN5R5eTvjMER/YASr02A4c347RF1+uz6J1Eir5H/pkn8X7EW2Oa5fe76RlVRX7YB+KyfjvtmH/GQ1x/Rri7XhT4y0RHw0mcZ0l3lJ85k6NN9N+my37zPw0VCZp854ke838lG3ZnqRrUrylLNfnYS8M+5rUeEtZTtoHjIb4umo9yxiRGm8p44LZcnI7udibTJKfMmPPzAe5LCd1wyT2cOmQeANVDj5LJtlPZrFXpeVvb4afTJYbk5aT/TRa7GUbI7LFXk7xZr6c4r/a0cd1zE7yJfspW7x5svQ123aST+6MdHwa6ktOMTxK7OlJx61KfXhimEuM5Ync9C2ML/3QcnVN7D/jsTII9fdVwKA1uTRKBiu0o4z1EwRBsBCZMOVBpcuaWWo5oRtgC2ix07djbSMItc+6Y6dgywgrtKOM9RMEQbASuSSXB06HRlebn2B3/nW72nxj3m4hdfOtn0tZszLZ6nX1+vD/yIen2wvdWequ99H0fD2+hR2xe3fSynQN+PD/3Ien35ty0M+6zVH6YLUe49V2unamZdK0My2TRb+x2FxInfFoYyLazodisSOdYrUrF0rZdqsQDYbJRYtQf9CSbckZpjwIFHpppAzR+3V2XDYNvTd7GXu/zpSnGtB7srQxCNMfaCq7LOtWaEcZ6ycIgmAlcoYpTzwt9URqG8dcP3ED73+4br71cylrViZ9nd4LNoeduqne2FMfJuX0ztjfusnepBuxh8voXVD3r2rsXh28mXP8bLaO1ger9bC67WzapZTJol1KmVH0G4vNhdQZjzYmou18KBY70ilWu3KhlG23CtFgmJG0CPZZ89+inGESxhWjGjb/vDvrAT+nNjyw/reBEQ/22yJWaEcZ6ycIgmAlMoIK44reC1Mvrh3OFTIW+qFpWXXhT4uVGJZoR/nqJwiCYCUyYRLGFUOHaJ0qKNL0CLjW2GMJ1MoIK7SjjPUTBEGwEpkwCeNLJbQt7okl3BsjRi1suDUAdWUWrhZoRznrJwiCYCEyguaBTZc8TPmid8P08+sgUNglOUsSOJYYlmhH+eonCIJgJfKUXB7UVeu8J3mY8srD1OPzUTfZiW9LCHrNy/VtDQBeAq0+jFBmmZ7WAJM7qgls9GEkpfjf1vMwpWtnRrp2pu1k0W8sNhdSZzzamIi286FY7EinWO3KhVK23SpEg2EkD1ORInmY8sdww5qz25Le7zOGNqoM/vWT9aYH+20ZK7SjjPUTBEGwEjnDlAdRQ0keplHKZORh6oJpP6ij96HUHEB55WHqhZZraxm8zW76iP02m4cpi3YpZXLJwzSKfmOxuZA649HGRLSdD8ViRzrFalculLLtViEaDCN5mISSx3BB/15hcI9QyAaGXYHtP2hYCSDaCYIgFA8yYRLGFzd0nN8HldlDzaiDdQ/4ocG8jFUJHEsOC7SjnPUTBEGwEBlBhXFF74KZp9eDb+z3f1mWwLHEsEI7ylg/QRAEK5EJkzCuGC7oPmywsJu+LUrgWGpYoR1lrJ8gCIKVyBAqjC9u8J86AO4CQs2iBI4lhxXaUcb6CYIgWIiMoHlQJwecvNEDMPOUeugs4JKcVQkcSwwrtKOM9RMEQbASmQHkQSisJtqEksOohMDxA1BVQBt2CM6OlF0SDCu0o4z1EwRBsBKZMOVBf1AmTHnjhK6vDRZ8SW7LD3vL75KSFdpRxvoJgiBYiPzPmSdd8mqUvF6N0vdJgN2ums36WzowvLnVTf/e+2mAXZbOZNONHRie0be5rbwaJV27sW4vm35jsbmQOuPRxkS0nQ/FYkc6xWpXLpSy7VYhGgwjr0YRthkiFQYbTtxa0Gs5lMOga9c+DJeVlhU/VmhHGesnCIJgJXKGKU/k1SgjlzFbF52RuT6Xusnfuy+J5P0KlFJ/NQpZtBvL9kbSL9c2rKozHm1MRNv5UCx2pFOsduVCKdtuFaLBMPJqFKHk0Tth1sJ62DLCE1pG/J1ohnkZqxI4lhpWaEcZ6ycIgmAlMmESxhXDA+0/6IW67GV0P8y8wAsdWdqwKIFjqWGFdpSxfoIgCFYiE6Y8qHRpE21C6WGHgX3D4Cwg1KxK4FhqWKEdZayfIAiChcgImgdOh0yY8kXvhNkLvSNfVhqtDYsSOJYaVmhHGesnCIJgJUU5YbrllluYNWsWbrebefPm8frrr2ct++GHH3L88ccza9YsNE3jpptuKrjNbAR65YCTL4YHNl0bgCyPxefUhkUJHEsNK7SjjPUTBEGwkqKbMD366KMsWrSIxYsX8/bbb7PnnnuyYMECtmzZYlq+v7+f7bbbjp///Oe0tLRY0qZgITpE6o3CIs2qBI6lhhXaUcb6CYIgWEjRjaA33HADZ599NmeccQa77rort99+O5WVldx1112m5ffdd1+WLVvGwoULcbnME83k26ZgHbnclDxqGz6YdXI9dJTXGT4rtKOM9RMEQbCSopowhUIh3nrrLebPn59Yp+s68+fP55VXXvmPthkMBunu7k75CPlj1MO6W3xQQLoQoxo6zuqHAhM4lhpWaEcZ6ycIgmAlRTVh6ujoIBqN0tzcnLK+ubmZtra2/2ibS5cuxePxJD7Tp08f0/bLHgPsfh0KObnhhN75wfK7pGSFdpSxfoIgCBYiI2gWLr/8crq6uhKfDRs2TLRJJYneBVOvqIMCXn2UUwLHbRArtKOM9RMEQbCSono1SmNjIzabjfb29pT17e3tWW/oHq82XS5Xxj1RNl3SCuSL0QBrHvHhbRr7daWhBI4VdTWW2lbsWKEdZayfIAiClRTVGSan08nee+/NypUrE+sMw2DlypUccMABE95mXXVRyVUaRKDiDQeECji7YVUCx1LDCu0oY/0EQRAspOhG0EWLFnHnnXdy77338vHHH3PeeefR19fHGWecAcCpp57K5ZdfnigfCoV49913effddwmFQmzatIl3332XVatW5dxmrkgepvzRu6D5l9UQyF5mtJubrUrgWGpYoR1lrJ8gCIKVFNUlOYCTTjqJrVu3cuWVV9LW1sbcuXNZsWJF4qbt9evXo+vD87zNmzfz+c9/PvH9+uuv5/rrr+eQQw7h+eefz6nNXIkaiq42P8ExPDDX1Tb2G1EKqZtv/VzKmpXJVq8r7MN/kw9PyAsbs9TdEltnbDZvq2vAx+DFvTj7q2FjDtscpQ9W6zFebadrZ1omTTvTMln0G4vNhdQZjzYmou18KBY70ilWu3KhlG23CtFgmFy0CPUHLdlW0U2YAC688EIuvPBC09+GJkFDzJo1C6VUQW0K40gIvG/WEv1q7GmtMaFD2BMpvytKVmhHGesnCIJgIUU5YSpmPC31RGrHfhOud9rE1M23fi5lzcqkr9N9MH15Pd3f1KBRz6vu0He9E2Ze5aXrcaAp86ifzdbR+mC1Hla3nU27fLc3mn5jsbmQOuPRxkS0nQ/FYkc6xWpXLpSy7VYhGgwzkhbBvkFLtiH/cwrjiuGFtQ/7Rz3gj9iGRQkcSw0rtKOM9RMEQbASmTAJ40sIPH90w2ABNxxblcCx1LBCO8pYP0EQBAuRCZMwruj9UPdYBfQV0IZFCRxLDSu0o4z1EwRBsBKZMOWB5GHKH6MO1j3gh4YCLsnFEziOdP/NtogV2lHG+gmCIFiJjKB5EAqP/jSekMYg1N9XUdhlJasSOJYaVmhHGesnCIJgITJhyoP+oEyY8kUPQu2zbugvoI0cEjhui1ihHWWsnyAIgpXIhEkYVwwPrLvHD97CLsmtfcRfdpeUrNCOMtZPEATBSmQEFcaXQWi8tQr6s18O0gMw85R66MxSJgTVz7gKvzRValihHWWsnyAIgoXIhEkYV/QgVL7tgJHyhkVBj2gQzdJGLzT+rhJ6x8vK4sQK7Shj/QRBEKxEJkzCuGJ4YP1vA4VdkrMogWOpYYV2lLF+giAIViIjqDC+9EPTsmroLeBykFUJHEsNK7SjjPUTBEGwEJkw5UGlS5toE0oOPQKuNXaIFNCGRQkcSw0rtKOM9RMEQbASmTDlgdMhE6Z8MWphw60BqCvgkpxFCRxLDSu0o4z1EwRBsBL7RBtQSgR6Dbra/AS786/b1Tb291IUUjff+rmUNSuTrV7PWh/b3TmVrT/pgErzcn1bA4CXQKsPI5RZpmu9j8lPNeA7vQPco29ztD5Yrcd4tZ2unRnp2pluJ4t+Y7G5kDrj0cZEtJ0PxWJHOsVqVy6Usu1WIRoMk4sWof6gJduSfzmF8SWqY++2oRdw+4wtqNP4Dw+6NTFfOligHeWsnyAIgoXIGaY88bTUE6ltHHN977SJqZtv/VzKmpUxW9f6696M9cnf9c7Y37rJ3pTkisll1t8XyGpTvutz/X2sZa1s20y7ZLJpl85I+uVih5V1xqONiWg7H4rFjnSK1a5cKGXbrUI0GGYkLYJ9I+VmyR05wySMK3ovTLmsFnoKOE2SQwLHbRFLtKN89RMEQbASmTAJRU9OCRyFrIh+giAIhSMTJmFcMaph88+7oSZ7qBk14DupH2qz/G5RAsdSwwrtKGP9BEEQrERG0Dyw6ZJWIF/0Xph6cS10j3A5yAldXxsEd5ZwtCqBY4lhiXaUr36CIAhWIhOmPKirFrnyxdAhWqcKijSrEjiWGlZoRxnrJwiCYCUyA8iDgPyHnj+V0La4BwqYbFqVwLHksEA7ylk/QRAEC5ERNA+ihppoE0oOvRumn18HgQImm/3QcnVN2V1SskQ7ylc/QRAEK5EJkzCuGHYIzo4UlPFLN8AW0KDMjvdWaEcZ6ycIgmAlMmESxpdK2PLD3sIuyVXDphu7obbMwtUC7Shn/QRBECxERlBhXNG7YMa368A39tMbliVwLDGs0I4y1k8QBMFKZMIkjCuGC/r3Cpu+9FUYGdFOEASheJAJkzC+uKHj/D6oLOyS3GgJHLdJLNCOctZPEATBQmQEzQPJw5Q/ehfMPL2+4EtyoyZw3AaxQjvKWD9BEAQrKfD5m/IiFFZ0tfkJdudft6vNN+btFlI33/q5lDUrk61eV5cP9/4a/T4F/eblelYH2PGmabQv7cCozizT0+GjobICX1s3JGmfdZuj9MFqPcar7XTtzEjXzrRMFv3GYnMhdcajjYloOx+KxY50itWuXChl261CNBgmFy1C/UFLtiWnTPKgPyh5mPLGCa3HdY54H44eBvdWJ2SJacMNq767CSrHzcrixALtKGf9BEEQLETOMOWJp6WeSG3jmOt7p01M3Xzr51LWrEz6Oj0A0y+sp+cxDRp003J6Z+xv3WQvNGWW0bth6mV19N2nm2arzmbraH2wWg+r286mXUqZLNqllBlFv7HYXEid8WhjItrOh2KxI51itSsXStl2qxANhhlJi2DfoCXbkDNMwrhiVELg+AGoKqANixI4lhpWaEcZ6ycIgmAlMmESxhcndH1tENwFhJpFCRxLDiu0o4z1EwRBsBAZQYVxRffBrJProaOAp+QsSuBYalihHWWsnyAIgpXIhEkYV4xq6DirH7I8wZVTG2WawNEK7Shj/QRBEKxEJkx5UOnSJtqE0sMJvfODhV1WsiiBY8lhhXaUsX6CIAgWUpQj6C233MKsWbNwu93MmzeP119/fcTyy5cvZ+edd8btdrP77rvz1FNPpfx++umno2layueII47I2y6nQyZM+aJ3wqyF9bClsEtyViRwLDWs0I4y1k8QBMFKim7C9Oijj7Jo0SIWL17M22+/zZ577smCBQvYsmWLafl//OMfnHzyyZx11lm88847HHfccRx33HF88MEHKeWOOOIIWltbE5+HH344b9sCvXLAyRfDA+0/6IW6AtpwQfdhg2WXR8gK7Shj/QRBEKyk6CZMN9xwA2effTZnnHEGu+66K7fffjuVlZXcddddpuX/93//lyOOOIIf/vCH7LLLLlxzzTXstdde3HzzzSnlXC4XLS0tiU99ff1/qEdljh0G9g2Ds7BLcv5TBwq/NFVqWKEdZayfIAiChRTVCBoKhXjrrbeYP39+Yp2u68yfP59XXnnFtM4rr7ySUh5gwYIFGeWff/55mpqa2GmnnTjvvPPo7Owc0ZZgMEh3d3fKR8gfvRNmL/SOeFnJqICBXcJZz4DoAZh5Sj10ltcZPiu0o4z1EwRBsJKimjB1dHQQjUZpbm5OWd/c3ExbW5tpnba2tlHLH3HEEdx3332sXLmSX/ziF/z973/nyCOPJBqNZrVl6dKleDyexGf69OkF968cMTyw6doAeEcoVAlti3uy5gmyKoFjqWGFdpSxfoIgCFZSVBOm8WLhwoUcc8wx7L777hx33HH8+c9/5o033uD555/PWufyyy+nq6sr8dmwYcN/1OZtBh0i9UZhkWZVAsdSwwrtKGP9BEEQLKSoRtDGxkZsNhvt7e0p69vb22lpaTGt09LSkld5gO22247GxkZWrVqVtYzL5aK2tjblI+SP7oeZF3iho4A2LErgWGpYoR1lrJ8gCIKVFNWEyel0svfee7Ny5crEOsMwWLlyJQcccIBpnQMOOCClPMDf/va3rOUBNm7cSGdnJ5MnT87LPpsuaQXyxaiHdbf4oIB3RFqVwLHUsEI7ylg/QRAEKym613EuWrSI0047jX322Yf99tuPm266ib6+Ps444wwATj31VKZOncrSpUsB+P73v88hhxzCL3/5S4466igeeeQR3nzzTe644w4Aent7ufrqqzn++ONpaWlh9erVXHrppcyZM4cFCxbkZVtdtc57bX6CY7j/u6vNl38lC+rmWz+XsmZlstXr2uyjYpMTnycWbbnUzfju89H1OfB0eEcsl2sfrNZjvNpO126s28umXz5tWFFnPNqYiLbzoVjsSKdY7cqFUrbdKkSDYXLRItQftGRbRXWGCeCkk07i+uuv58orr2Tu3Lm8++67rFixInFj9/r162ltbU2UP/DAA3nooYe444472HPPPfnDH/7AE088wec+9zkAbDYb7733Hscccww77rgjZ511FnvvvTcvvvgiLpcrL9skD1P+2Ht1drpxBnpXAW0EdPa8aHv0kR9s3OawQjvKWD9BEAQrKbozTAAXXnghF154oelvZjdqn3jiiZx44omm5SsqKnj66actsStqKDwt9URqx36NxDttYurmWz+XsmZlzNatecSXsT6XuonvkVgCx7pdvKY5ibLZOlofrNZjPNo20y7v7Y2iX05tWFhnPNqYiLbzoVjsSKdY7cqFUrbdKkSDYUbSItg3aMk2iu4Mk7CNEYGKNxwQKuDsnFUJHEsNK7SjjPUTBEGwEBlBhXFF74LmX1ZDoIA2ckjguC1ihXaUsX6CIAhWIhMmYVwxGmDtI35oGnuo5ZTAcRvECu0oY/0EQRCsRCZMwvgSgupnXDA4wtmNQWi8tQr6s5SxKoFjqWGFdpSxfoIgCBYiQ6gwrui90Pi7SugdoUwf1LzgylrGqgSOpYYV2lHG+gmCIFiJTJjyoG6E93UJ5hheWPuwHxoLuCRnUQLHUsMK7Shj/QRBEKxEZgB5EAqriTah9AiB54/ukS8rjYYBdr8O5XbPshXaUcb6CYIgWIhMmPKgPygTpnzR+6HusQroK6CNLph6RR2UWXJbK7SjjPUTBEGwkqJMXFnMdMmrUfJ7NcqgD//1PjwDXthoXq5vawDwEmj1YYRMXo0S9uG/yYcnFGtj1G1uK69GSdPOjHTtTNvJot9YbC6kzni0MRFt50Ox2JFOsdqVC6Vsu1WIBsOU9atRhG2MEEx+ogEKSbQagdr3qiBioV2lgBXaUcb6CYIgWIicYcoTeTXKyGXS1+ldMOnVOnoWaeDVTcsNveOsbrI3JefQUBm9E2bcVU/3VzXTnETb6qtRsmmXUiaLdullRtJvLDYXUmc82piItvOhWOxIp1jtyoVStt0qRINh5NUoQsljeGDdPf6sB/yc2rAogWOpYYV2lLF+giAIViIjqDC+5JJYcTRySeC4LWKFdpSxfoIgCBYiE6Y8qHRpE21CyaEHofJtR0H34eSSwHFbxArtKGP9BEEQrEQmTHngdMiEKV8MD6z/bWDky0p2iFYbWe+osyqBY6lhhXaUsX6CIAhWIiNoHgR65ZJG3vRD07JqGEG7UScGViVwLDWs0I4y1k8QBMFCZMIkjCt6BFxr7AU90m5VAsdSwwrtKGP9BEEQrEQmTMK4YtTChlsDUFfAU3J1sO4BPzSUV7haoR1lrJ8gCIKVSB6mPJFM3/ll+u5Z62O7O6ey9ScdUJlb3Yzv631MfqoB3+kd4B59m9tKpu907ca6vWz6jcXmQuqMRxsT0XY+FIsd6RSrXblQyrZbhWgwTNFn+l6/fj0vvvgiTz/9NG+//TbBoDXGCNsgUR17tw29gNtnbEGdxn940MstzCzQjnLWTxAEwUJyPsO0du1abrvtNh555BE2btyIUsMvonU6nRx88MGcc845HH/88ej6tnvqXzJ9j1zGbF3rr3sz1udSN/n7+vsCeWf0LvVM32TRbizbG0m/XNuwqs54tDERbedDsdiRTrHalQulbLtViAbDFE2m7+9973vsueeerFmzhmuvvZaPPvqIrq4uQqEQbW1tPPXUUxx00EFceeWV7LHHHrzxxhuWGFds2HRJK5Avei9MuawWego4TWJVAscSwxLtKF/9BEEQrCSnM0xVVVV89tlnNDQ0ZPzW1NTEYYcdxmGHHcbixYtZsWIFGzZsYN999x0PeyeUumqddRNtRBkylMCxd5Cs9/II2RH9BEEQCienCdPSpUtzbvCII44oxJ6iRvIw5Y9RDZt/3o23ZuynjodyDXm95XX62QrtKGP9BEEQrGTbvdloHIgaKodSQjJ6L0y9uBa6C5hs5pDAcVvEEu0oX/0EQRCsJO8JU2dnJxdccAG77rorjY2NeL3elI8gJGPoEK1TI0daBCrecEDI/IBuVQLHUsMK7Shj/QRBEKwk7zxM3/rWt1i1ahVnnXUWzc3NaFp53QgteZjyy8PU1e2j61wfnoAXAubl+lYFmP3L7Vi3nQ+jwSQPU78P/5U+PL3elBfIbut5mNK1MyNdO9N2sug3FpsLqTMebUxE2/lQLHakU6x25UIp224VosEw/8k8THlPmF588UVeeukl9txzT0sMELZt9F6dnZfNoHVZN0btGNsYJJ7AcaCsblq2QjvKWD9BEAQryXvCtPPOOzMwMDA+1pQAkodp5DIZ6/ohPMegboYXqnXTcnpn7G/dZC80ZZbRe8HZ78DbUgG1mdenttk8TFm0SyabdillRtFvLDYXUmc82piItvOhWOxIp1jtyoVStt0qRINhiiYPUzK33norP/nJT/j73/9OZ2cn3d3dKR9BSKEStvywN+sBPxeMath0Y/eIB/ttEgu0o5z1EwRBsJC8R9C6ujq6u7s57LDDaGpqor6+nvr6eurq6qivrx8fK4uEugIPXOWI3gUzvl0HvrE/oWVZAscSwwrtKGP9BEEQrCTvS3L//d//jcPh4KGHHiq7m75DYUkrkC+GC/r3CoPbNdGmlByinSAIQvGQ94Tpgw8+4J133mGnnXYaH4uKmP6goufjAIOe2Lk5bQCUC9BAGwTlBhRoQVA1oOzx9ZXQtcmHHo5PLqOghePlI7HyaPHlaLzNMGhGbLl3sx+UhtYPWiRWTzlBC4HSAEd8m3p8eTC2bWygB6DH548t+0A5Yuu1gVgbiWUXqCroWefHcKpYPwZAVcT7FO8HBvSs98f63BO3oQJ6Wv3okZiNyf3o3eyn5wg/Nb56aIfuVj/KqWL9UzEb+jd3AV4CrT7wQW+bH2UH3R/rU7ffT/eZAWo21IE93lcbdHf70KIaRFP71LXVhz6ogRH3U3/cF+FYP3q6/aBi9/+oiliftGB8ORrT2KiPLfds9GO4VKxPkSSfDS0HQe8f9lnvlgDKodC7Yq5WjlQ/YRv2U886P8oWm4QnfDYUMw7oafPTd3iA6nV1KX5Kjr3+9XHtNvowBlP9lIi9Lh9d3/FT01UPPtB74r6P+6mny48WieudFntKA802HG8QW+5e7wc9bvtQ7MXPZikbKX5K7lOiH3G7Mvzkju9PybHXF6uX4adQ0vLQ/mTEttcV8KFFkvbLpD4lYs8Bere5n1L2p3g/VE182Z6lT0P7U//wmNG3PoDhVGh9JmNEPPZQsbaz9ikp3rT+eF1Xlj45Y/UAjMr4OpM+ZcQesbay9ik59oKxZKgZfjKJPcIxjU37NDTWJS0rR5Y+mcReQos0P5nFnlETL5PmJ+XOjD09EC+T5iez2FO2uI3p40Ly8pCf4ttJ95Np7Dlj43HGuBBf7lnnx7DH/dcbszXbGJFyfIofgjL8ZBZ7rvgYb+Ins9gzPEl9GuX4RGQ4lrKOEXE/EY1pkW2M6Gr1oYe0RCxrfZl+CvVO0FNy++yzDxs2bCjLCRNAyyWzho8OI9DzpUG6vhJkypW1rLvbT+V6N7PuaWHTb7qp+MCB9/4KNl3fTeWbDup/X4lzs22E1obzW0WrDXq/GMJ3aj8Nd1cS8SoCJw4w6dZqBneM0H3UIE031NC3f4i+/YPMPM+bUn8k1t7lY4/LtufDq9ag1cGsM72svcuHPqAx44J61jziw7HJxm6LZxOqD1PRlnzmI9s2vChNsf52P9Uvual/r5m1Z7RR90QFdp9Gx7n9NK+MXco96c0n+ecfj2MgsH3W/idTv8e/6V23A7sc8hLemRv4x12nsduRK+iu2Mhnj5zHPic+TlWDj+d/fQGzD3yZNf/4wii2xtBsEQ45/zf41k3n479/gRnH3I9r685sfHcue534GJs/3IWtq+aw57H/j9UvHcCGd/bKQQewOUJ4Z66ntqWN6Z//J6/94atUz/w3u+37NG8vP55pc9+laYfVvP7gycw56CXe+8sCiI52dim2Ped6G2GbkeKnodir/reb7e6YyoY7/bhWO2i6oRo9qGW0YUbfXiEMj0HHuf3UPxJ7xM53aj/THm8k7IkycAaJ2NP7NeofqxjF3qF2gwRO9bHb4tm0XttDeHqUWWd6WX+LH6NCZcReroS9UaINisAFPurfqKXx4xraf9xD7V/duP9tZ8vFvYnY6/xWPzPPzT133Nq7fLQsraXrqAH69w8z5YpafN8aYGDPMNN+UMeWi3oJ7hhhxgX1RGujONrtOe17hlOx7j4/rtV2mm6qZsOtgYwxwvOXClqv6ablFzW4P3HkZK//+AHsPs10jJh112QCc3uJToOWn9USnBnB84w7Zy2y+Sk99qpeddJ0S3VObRoVCv8JAxl+yhZ7TS/Uow/kdoVj67f76J0fzPDT5iXdGbEXGzNzI3DkIJXv2zP8VP2Ci6pXnSmxF5oWzXn/GNw+TOvPehJjee9hQVp+Nhx7O9w4jc3HdsJUmH5xHbae3G4XCbVEcLbZM/xkFnubl3Qz65z89o/6Pwz7aaTjk3ODjt0/0jFvGMOp2PyzTD8NxZ6j28ZuV81mzSM+Jt1aRdXrmWNmiFDO/RgJTSmV13Wm5cuXc9VVV/HDH/6Q3XffHYcjdefdY489LDGs2Oju7mb5z3Zg4+fOItLoBZsGfQoq4rP2/vh7uhQwAHi02HR0EKjS8K3rQAtB/Q6NEFEQAiq12PKAAl2DsIqdLXFrEFKx/z7dGv61nWgK6mY3xMpUaODSIKhi23ZqMBhPcOjUYu3F/xPBp/C3+8AO9V4vOInZ3q/AxXA/3ECNhv/TTpQbvNMbMvtUpUFU4V/dCTrUN3khGOuHf30nWhjqtm+I9SkSt/3fndT/qQJ+VAG6hn9DJ8oF3qaGWLsujcCbHcy8yMs3Ln4QuyPCWl8Y3WYwrboCTVOs6Yzw4VNH8uVvPEdFVYhIyI5ui7Kxrx8jamNOk45uU4SDDmz2CGsDQSIhB3OadXRdERp0oNuiRCM2wiEHm/r6AJhaVYXTFcYwNCJhe2LZiOpU1gxiRDVWbTGwO8PMqnMRjdpwOCNEIzqGoeNwRgiHbISDDuyOKNGIzlp/GJs9yvSa2MBos0eJhG1omsJmN9B1A02PLX/aZqDpBnOa7IRDdmy2aLwfdmz2KP/aBGtf3Z8vfvkdnO4ooaADuyMS61PQgcMZ5l8b7Lz10Cl0LQeatRQ/JWLv4w4mX19D8H8dsdjqVrH4ifvJ3+mDCNQ3ezNiDxTYk+KNmM/8n3WgNPDObhyOPYAeFfuv0BGPSTux+gMqNfaqwOfzofVD/fYNI+9PPXEbkvpEVCVij2h8f6qILzs0fJ2dEAFvc0NsfXKfQrEzqDiBQLxPzhH2p8F4nzxabPuOeJ/6431KX+5TYMT26cCqWLzXT/Nm3Z9QgEfPHBeSl8Px/vUasX6n+2moT674MvH2FaZ98q/qQNnBO6sx5hsUGCZ+Sh8jbPEyXs183EuLPYIGdJv4KWmMSBn3HJj3ySz2mhrM/WQWezWAS8/0k5vM2OuMr8/Wp+TYs8V1S/dTON6/5NjTiW0n3U9msecEavThsdwR70c89vyrOlAO8M5sHH4TQLqfzPYnAE3L7JNZ7FUQGyvM/GQWe/UaiXnJaMenUHyfHmmMGIq9iIJqLWuffBs60QahfsfG2AvGezP9FOweZNmJV9DV1UVt7dhztOR9humkk04C4Mwzz0ys0zQNpRSaphGNRsdsTEnQyPDTRlVJ/90k/xNVk7RcFf9ri58mJB4c9qTlmqF2ktpLalt5YvEYW5dUxpW07E5arkhabtBQQ1kgGpP+C6nKsq2UnSrJrEQ/tOEySU9dqRpzG9Uk8J01gNcda0ANTf6dSdtPmnO7K0M4B2J7XWVcF3cwxN7feBxPgzNW1R0776sPGug2A90WW+9whRPt2J1hdD21vN1h4KoI44jEvld7kq6dmPwHotsUdmc4sazbYqmybXYDG7FByuGM4nAOx7wrGGunonq4f0PbT8fmGE697XAmLbtiy+6qEDsf/neq61L7kbzscMUHXRuxSXeSnxLLNdB6dQ/e6vhjt97UeEvER4NJXGeJN+VMKuJOjbcEWWIsseyLx5tNMymTtHlPkr2JsS6LjcnL9qR9ITnekpfr87CX+EFkiErNfDlpH0gkE63Ws4wRyfamjQtmy8nt5GJvMkl+UsknkyqS9tlc2szmJ7PYc+kwyaSvWZeTSPaTWexVafnbm+Enk+XGpOVkP40We8l+cmjD41q22Msp3syXU/xXO/q4jtlJvmQ/ZYs3T5a+ZttO8smdkY5PQ33JKYZHiT096bhVqSflmsshxvIk7wnTmjVrLNmwUB7oAZh+YT09jxnDB2RTsp/oDPW7efORk5hy/mO4q6w5tVoKBPsqePXeU2m56GEqa7LnEVGJ0wjm6N0w9bI6+u4zoE6e9BQEQRgLeU+YZs6cOT6WCNskRiUEjh/AVpU9xbTRAId+91aqPU7T33V7hJqmLei28nos3u4KMmvfN3C6s08S3dX9rH3Ej7cpe9I2ww7B2RGwm+srCIIgjE7eEyaAzZs389JLL7FlyxYMI/Ug9r3vfa9go2655RaWLVtGW1sbe+65J7/+9a/Zb7/9spZfvnw5P/3pT1m7di077LADv/jFL/jKV76S+F0pxeLFi7nzzjsJBAJ84Qtf4LbbbmOHHXbIy65Klybvksv3XXI+H10HgKfDO2LdDYHhy03JywCt/WHqDvoTG/sc0EfWcqOtz/X3sZa1uu3NvWH0HV5jfXf2m3w3BMK5vZPuW9nfSSfvkhs/isWOdIrVrlwoZdutQjQYpqjfJXfPPfdw7rnn4nQ6aWhoSMnDpGlawROmRx99lEWLFnH77bczb948brrpJhYsWMAnn3xCU1NTRvl//OMfnHzyySxdupSvfvWrPPTQQxx33HG8/fbbfO5znwPguuuu41e/+hX33nsvs2fP5qc//SkLFizgo48+wu3O/ckQp0PDaQxCNP9XwzijMYe5/sN1862fS1mzMtnqVfqi7HDNjrT/ug2j3shaV9NjN0ADGX+jQSfrnzyDllMfwFk5fGkqvdxo63P9faxlrW47Ouhm7R/OoenMu3FX95uW0fSYpiP5yx0IM+e6Hei4fiuGJ3NbY4mvQmPSqjYmou1StCOdYrUrF0rZdqsQDYbJSYuoNROmvJ+Smz59Ot/5zne4/PLL0XXr74eYN28e++67LzfffDMAhmEwffp0vvvd73LZZZdllD/ppJPo6+vjz3/+c2Ld/vvvz9y5c7n99ttRSjFlyhR+8IMfcMkllwDQ1dVFc3Mz99xzDwsXLszJrqGn5Or23Rt7dVUONVJp3Rx7TfzkKbk9YmtV3Xzr51LWrEy2epvW9hP5RzPTT+hBd2ave+Cq19l+Umz+vnpr7Kbnoe+fbIKPn17AV765Eqd7+Obo9HKjrc/197GWtbrtT1oNWt/fnYMO/Ri703xStXprhH/M2W9Ef236rJ/QAzsz85KN6JWZ7YwlvgqNSavamIi2S9GOdIrVrlwoZdutQjQYJhct+vvCfPOEJwt+Si7vGU9/fz8LFy4cl8lSKBTirbfeYv78+Yl1uq4zf/58XnnlFdM6r7zySkp5gAULFiTKr1mzhra2tpQyHo+HefPmZW0TIBgMynvyLEB3GjgPbUUv4PYZuzPC7kf/JWWyVA7Y7QbTP//PrJOlXNHdBu5vf2Q6WRIEQRByI+9Zz1lnncXy5cvHxZiOjg6i0SjNzc0p65ubm2lrazOt09bWNmL5ob/5tAmwdOlSPB5P4jN9+vQx96ucMXxOes86jPDW3JLtmRHsq2Tl9T+gvye3pG/bCoPd1fx16WX0Bgr7L9LottN7/iFEAmO6ZVEQBEEYyz1MQ/cKrVixwjRx5Q033GClfRPG5ZdfzqJFixLfu7u7efrXe0+oTSVJbQjXhe9h8+R383QyNkeIqXPfScmzVA44K/uZe/xjWe9fyhmXgeOLm9DdcoZJEARhrIxpwvT0008nXo2SftN3ITQ2NmKz2Whvb09Z397eTktLi2mdlpaWEcsP/W1vb2fy5MkpZebOnZvVFpfLhcuVmWL9ja5mQqG6PHsGgUDs8aQ693+2br71cylrViZbvUBvAGbDmt5pI9Zt2ewi3B+bfA89PZb83bnry6xudaSEbHq50dbn+vtYy1rd9oZAGKrXs2pT9uuZGwJhXm9sGdlfAwE4opd1/VNi2XHTfx9DfBUak1a1MRFtl6Id6RSrXblQyrZbhWgwTC5aBCfqKblf/vKX3HXXXZx++umWGJCM0+lk7733ZuXKlRx33HEQv+l75cqVXHjhhaZ1DjjgAFauXMlFF12UWPe3v/2NAw44AIDZs2fT0tLCypUrExOk7u5uXnvtNc4777y8bQzpboK2/C8NhWyxO/j/03XzrZ9LWbMy2eoZPUE+d9V2rLvFh9GQva4ydJQRu0Kc/jfcW826P57JpNPvw1U1/CREernR1uf6+1jLWt12uKeGdY+fTeMZ2Z+SU4ZOyOYa0V9GX5Bdl8xiw80BDJMxZSzxVWhMWtXGRLRdinakU6x25UIp224VosEwuR2zrLnnOu8Jk8vl4gtf+EIOJcfGokWLOO2009hnn33Yb7/9uOmmm+jr6+OMM84A4NRTT2Xq1KksXboUgO9///sccsgh/PKXv+Soo47ikUce4c033+SOO+6A+Fmviy66iGuvvZYddtghkVZgypQpiUlZrth0DU9LPZHa7EkCR8M7bWLq5ls/l7JmZTLWRWDTtQHqdvOCXc9abnqdg+0aUs+kDH2PRiLo+73BDpMVdkfm2Zb0eqOtz/X3sZa1qm3DCOH9xu/ZeVok8foXMzwt3pH9FYLA8YPUzfGCO/vAMZb4KjQmrWpjItrOh2KxI51itSsXStl2qxANhhlJi2Bf9jcl5EPeE6bvf//7/PrXv+ZXv/qVJQakc9JJJ7F161auvPJK2tramDt3LitWrEjctL1+/fqUJ/QOPPBAHnroIa644gp+/OMfs8MOO/DEE08kcjABXHrppfT19XHOOecQCAQ46KCDWLFiRV45mADqqnXWWdjXskCHSL0xhscLhrHZDWbu+7bpZGlbx1XVV/hrkJzQ9bVBvG55BFkQBGGs5D1hev3113n22Wf585//zG677ZZx0/fjjz9esFEXXnhh1ktwzz//fMa6E088kRNPPDFre5qmsWTJEpYsWVKQXYFeuWk2X3Q/zLzAS9fjQGbe0ViZTnj+1+fTdPFDaS/EjTHYW8mr95xGy8UPUVlbPonaQv2VvHr3Gcy4+EFTXYhrM2thPd2PG9BkPivVfTDjgnq6/2ikvoBZEARByJm8J0x1dXV8/etfHx9ripyooej5OMCgJ3bmRBsA5Yq991QbjL9BWoEWBFUDyh5fXwldm3zo4fipgiho4Xj5SKw8Wnw5Gm8zDJoRW+7d7AelofWDFonVU07QQqA0wBHfph5fHoxtG1vs5bc9Pn9s2QfKEVuvDcTf+m0b7oeqgp51fgynivVjAFRFvE/xfmBAz3p/rM89cRsqoKfVjx6J2Zjcj55OPx/9qIuKQQ+sge5WP8qpYv1TMRv6N3cBXtYHQui9sNlvQ7MZBPt0NF3R2h3EO/dF1vpC2PsU0bAdTY/S1m+gDB3DCKPrikjIgW6PsKk7jBFyoowwWny9pkcxojaiYQdtfbGbrQd77didYZShEY0MLxtRG66qAQxDY0Mn6I4wRjR2j5XNEUlZjoZtREIObI4oRlRnk9+Obo8S6o9NTHR7lGjEhqYpdJuBpik03UC3GazbquJZvkPxPsXWD/WjtTfM1CMeZEN3P7b+WD9s9kiiTzZHmI1bNTQ0Aht9GIOpfkrEXpcP23ERwt126AO9J+77uJ96uvxokdjkNj32lAaabTjeiL8tvnu9H/RYzttE7AF6LyhbbGTRgknLg2mxF7dLH9TAiO9P/fF9QkuLvb5YPYx4mxXxfSiUtDy0Pxmx7XUFfGiRpP0yqU+J2HPEXkwMseWs+1O8H6omvmzP0qeh/Slpbtu3PoDhVGh9JmNERdxeFWs7a58iw/u91h+v68rSJ2esHvH3OGrKvE896/woW9x/g7FXX2vGCH0aGuv0WDuGx8RPJrFHOKaxaZ+GxrqkZeXI0ieT2EtokeYns9gzauJl0vyk3JmxpwfiZdL8ZBZ7yha3Mc1PKctDfopvJ91PprHnjI3HibHcnrrcs86PYY/7rzf+7vJ0P5kdn+KHoAw/mcWeKz7Gm/jJLPYMT1KfRjk+ERmOpaxjRNxPRGNaZBsjulp96CEtEctaX6afQr0TdNP33XffbcmGS5WWS2YNHx1GoOdLg3R9JciUK2tZd7efyvVuZt3TwqbfdFPxgQPv/RVsur6byjcd1P++Eudm2witeRNL0WqD3i+G8J3aT8PdlUS8isCJA0y6tZrBHSN0HzVI0w019O0fom//IDPP86bUH4m1d/nY47Lt+fCqNWh1MOtML2vv8qEPaMy4oJ41j/hwbLKx2+LZhOrDVLQlP0WYbRteBiYN0nZjP7V/dVP/XjNrz2ij7okK7D6NjnP7aV5ZD8Cj+xzL5GtrcbbGwnJNWkuvvnNIyve2BT48/6zilTNCDOwZZvr5dWy5qJctO2xh9x9tx4vX9hCeHmX2Qi+d3+yn4aHUFwCvzWKx4VCsu99PxT8deB5z8sllG5i8thnPXypovaab6mddVL3qpP3HPdQ/UEHdnzNvNky3HcCoUAzsEU74qWGxm8DcXqJfsDP5p7V0HTVA//5hpl5Si+9bA0y6owpbWGdTFjuTca63EbYZKX5KxF6bm6ZnvWw6qZuKfzpouqEaPZh8nS97fPTtFcLwGHSc20/9IzH9fKf2M+3xRsKeKANnkIg9vV+j/rHcbkLt2ytI4FQfuy2eTWvcT7PO9LL+Fj9GhcqIvVwJe6NEGxSBC3zUv1FL48c1tP+4h9q/unH/286Wi3sTsdf5rX5mnpvbvkF8/2hZOuynKVfE/DSwZ5hpP4jFXnDHCDMuqCdaG8XRbs9p3zOcinX3+XGtttN0UzUbbg1kjBFDsdfyixrcn+T2xKb/+AHsPs10jJh11+RY7E2Dlp/VEpwZwfNM7rcoZPNTeuxVveqk6ZbcLgUbFQr/CQMZfsoWe00v1KMP5Ha9euu3++idH8zw0+Yl3RmxFxszcyNw5CCV79sz/FT9wvAYMRR7oWnRnPePwe3DtP6sJzGW9x4WpOVnw7G3w43T2HxsJ0yF6RfXYevJ7cxxqCWCs82e4Sez2Nu8pJtZ5+S3f9T/YdhPIx2fnBt07P6RjnnDGE7F5p9l+mko9hzdNna7ajZrHvEx6dYqql7PfLo9RPYXmOdD3q9GKVeGXo2y8XNnEWn0gk2DPgUV8Vl7P1AZn+kPAB4tNh0dBKo0fOs60EJQv0MjRBSEgEottjygQNcgrCAKuDUIqdh/n24N/9pONAV1sxtiZSo0cGkQVLFtOzUYVLH7hJxarL34fyL4FP52H9ih3usFJzHb+xW4GO6HG6jR8H/aiXKDd3pDZp+qNIgq/Ks7QYf6Ji8EY/3wr+9EC0Pd9g2xPkVitne928mMH8UvydVp+Dd0olzgbWqItevSCLzZwcyL4mXc4N/gAwfUN3hBh65PfEy/pJ7uezSYHO+rHXw+H1oU6mc1gD3eJyf42jrR+qF++4bh/tljZ7XoB7/fByquR7xPQ34iGi/XoENE4V8b16OlIba+Iu6nSHx5wIjpFPdZYJMP5YT6SfGBxpnmJxsJP/lXdaDs4J3VGPOZg5R+dL3ZyYxLvHTdBzQn+Skp9ro+8DHjh166lsfLJPlpqE+BtzuY8b16uh/XwKtBt4rFT9xP/k4fRKC+2ZsRe6BiNg3FGzGf+T/rQGngnd04HHsAPSrWR8ewn7DHYzI59qri/kv3k9n+1BO3Id1P8dgjGt+fKuLLDg1fZydEwNvcEFuf3KdQ7AwqTiCgzP2UvD8Nxvvk0WLbT/NTxnKfAiO2TwdWxeK9fpo36/6EAjx65riQvDwUe71GrN/pfhrqkyu+TLx9hWmfMmIPBYaJn9LHCFu8jFczH/fS96egAd0mfkoaI1LGPQfmfTKLvaYGcz+ZxV4N4NIz/ZS2P6EBnfH12fqUHHu2uG7pfkoeI4b8pBPbTrqfzGLPCdTow2O5Q0sZI/yrOlAO8M5shO74rSLpfjLbnwA0LbNPZrFXQWysMPOTWezVayTmJaMdn0LxfXqkMWIo9iIKqrWsffJt6EQbhPodG6HfgN5MPwW7B1l24hUFvxolpzNMRxxxBFdddRX777//iOV6enq49dZbqa6u5oILLhizUUVNI1AbPzpUJf13k/xPVE3S8tBr52zx04TEg8OetFwz1E5Se0ltK08sHmPrksq4kpbdScsVScsNGmrotp/k+1eqsmwrZadKMivRD224TO1we6rG3MboTFjziA9vU+wJBjU0+XcmbT/5H+ZaHeUZsj3WfrQF2n/QS8WMmli9IXt74qdw7fHvlWn9sGlJ/dNiO2A1qKGdOnHPjwaJfSjJLrsWO/1Lms8c2rDNFXpsB45vx+iLL9dn0ToJlfwPfbLP4v2ITotrN/T0h4nPEr6wEZt0J/lpaNnwxvWrq4n1w5sab4n4aDCJ6yzxppLvv3enxptpv82WfWZ+GiqTtHlPkr1mfsq2bE/SNTnekpfr87AXhn1NarylLCftA0ZDfF21nmWMSI23lHHBbDm5nVzsTSbJT5mxZ+aDXJaTumESe7h0mGTS16zLSST7ySz2qrT87c3wk8lyY9Jysp9Gi71sY0S22Msp3syXU/xXO/q4jtlJvmQ/ZYs3T5a+ZttO8smdkY5PQ33JKYZHiT09aRys1IcnhrnEWJ7kNGE68cQTOf744/F4PBx99NHss88+TJkyBbfbjd/v56OPPuKll17iqaee4qijjmLZsmWWGCdsA0Sg4h0HNBngHOMNx3YY2DdMxVjrlypWaEcZ6ycIgmAhOU2YzjrrLE455RSWL1/Oo48+yh133EFXVxfEn0DbddddWbBgAW+88Qa77LLLeNsslBB6FzT/spruL2R/Sm7UNjqHnrTL/iTYtogV2lHG+gmCIFhJzjd9u1wuTjnlFE455RQAurq6GBgYoKGhISO1wLZKXbXOh21+gt351+1q8415u4XUzbd+LmXNymSr1xX24b/JhyfkhY3m5fq2BgAvgVYfRiizTNeAj8GLe3H2V8PGHLY5Sh+s1mO82k7Xzox07UzbyaLfWGwupM54tDERbedDsdiRTrHalQulbLtViAbD5KJFyKJXo4z5302Px0NLS0vZTJYAQmG5Pz5vQuD9Ry0FPaSgQ9gTKSj5ZUlihXaUsX6CIAgWkndagXKmP6jk1SijlElfp/tg+vJ6ur+ppdx0nlxO74z9rZvsTblkNFRG74SZVw0lv8w86mezdbQ+WK2H1W1n0y6lTBbt0suMpN9YbC6kzni0MRFt50Ox2JFOsdqVC6Vsu1WIBsP8J16NIv9zCuOK4YW1D/sLyjBt1MO6W3yxJxTLCCu0o4z1EwRBsBKZMAnjSwg8f3TDYPbXyhgeaPtBD9RlKwB2vx7L+1FOWKEdZayfIAiChciESRhX9H6oe6wC+kYoFH/sPduj83oXTL2iDsrsPkcrtKOM9RMEQbCSvCdMp512Gi+88ML4WCNscxh1sO4B/3BSxLG00RBL4Fhuj8RboR1lrJ8gCIKV5D2CdnV1MX/+fHbYYQf+53/+h02bcnnTlVC2DEL9fRUjXlYalQhUvOGAUJldU7JCO8pYP0EQBAvJ+ym5J554gq1bt3L//fdz7733snjxYubPn89ZZ53Fscceu02nGah0aXRJHqa88jD1bggw45k6Nh7rw/DkVjf9e9+qALN+OZv12/mGXzVRBnmY0rUb6/ay6TcWmwupMx5tTETb+VAsdqRTrHblQinbbhWiwTBFn4dp0qRJLFq0iH/+85+89tprzJkzh29961tMmTKFiy++mE8//dQS44oNp8Oa99GUE9Eag/ev+yzrAT8XInUG/7xptenBflvGCu0oY/0EQRCspKA8TK2trfztb3/jb3/7Gzabja985Su8//777Lrrrlx33XVcfPHF1llaBAR6DcnDNEqZjHWD0HhXFcYVrtiLEfOom/geguoXXDg/VwXu8snDlE27vLc3in5jsbmQOuPRxkS0nQ/FYkc6xWpXLpSy7VYhGgxTlHmYwuEwjz32GF/96leZOXMmy5cv56KLLmLz5s3ce++9PPPMM/z+979nyZIllhgolDZ6ECrfdkAB8ar3QuPvKqHXSsuKHyu0o4z1EwRBsJK8zzBNnjwZwzA4+eSTef3115k7d25GmS996UvU1Y2UGEYoFwwPrP9tAK937P8JDSVw9DaW139TVmhHGesnCIJgJXmfYbrxxhvZvHkzt9xyi+lkCaCuro41a9ZYYZ9Q6vRD07Jq6C3gCa0cEjhuk1ihHWWsnyAIgoXkPWH61re+hdvtHh9rhG0OPQKuNXaIFNBGLgkct0Gs0I4y1k8QBMFKJJOdMK4YtbDh1gDUjZyJesa368BnfgbEqgSOpYYV2lHG+gmCIFiJjKB5YNMlrUDe9EPL1TUjX1aKgK1Xz34mxaoEjqWGFdpRxvoJgiBYiEyY8qCuWuTKF90AW0Ar6MWvehBqn3VDv5WWFT9WaEcZ6ycIgmAlMgPIg0ChN9+WIUY1bLqxG2oLeJecB9bd4wdveYWrFdpRxvoJgiBYiYygeRA11ESbUHLovTDlslroKWCyOQiNt1ZBf3lNWC3RjvLVTxAEwUoKyvRdjsi75PJ7l1zPlgCTwpUENnVjVJuX69saALwEWn0YocwyvRsCTH/Tw6Y1qe9U29bfJZeunRnp2pmRTb+x2FxInfFoYyLazodisSOdYrUrF0rZdqsQDYYp+nfJCUKuGJUG//7hxqwH/FyI1hh88D9rCn6nWqlhhXaUsX6CIAhWImeY8kTeJTdymfR1ei9M/mktA7+zp9yLk1xO74z9rZvshSaTMv3QdEs1kZ85weTG+231XXLZtEspk0W7FEbRbyw2F1JnPNqYiLbzoVjsSKdY7cqFUrbdKkSDYYryXXKCkA+GDtE6VVCkWZXAsdSwQjvKWD9BEAQrkQmTML5UQtvinhHPbIxGLgkct0ks0I5y1k8QBMFCZATNA8nDlD96N0w/vw4CBTyhlUsCx20QS7SjfPUTBEGwEpkB5EEoLGkF8sWwQ3B2ZMS75Ywq6PliELLc3GxVAsdSwwrtKGP9BEEQrEQmTHnQH5QJU95UwpYf9o58WckNHef3QaV5GasSOJYcFmhHOesnCIJgITKCCuNKLi+HHbUNqxI4lhhWaEcZ6ycIgmAlMmESxhXDBf17hcE90ZaUHqKdIAhC8SATJmF8yeGS0WgY1bD5591QU2bhaoF2lLN+giAIFiIjqDCu6F0w8/T6gi/JTb24FrrL65KSFdpRxvoJgiBYSVFNmJRSXHnllUyePJmKigrmz5/Pp59+Omq9W265hVmzZuF2u5k3bx6vv/56yu+HHnoomqalfL7zne+MY0+EIQwXdB82CJUFtGFRAsdSwwrtKGP9BEEQrKSohtDrrruOX/3qV9x+++289tprVFVVsWDBAgYHs6c1f/TRR1m0aBGLFy/m7bffZs8992TBggVs2bIlpdzZZ59Na2tr4nPdddflbV+lSxtTv8oaN/hPHQB3AaFmUQLHksMK7Shj/QRBECykaEZQpRQ33XQTV1xxBcceeyx77LEH9913H5s3b+aJJ57IWu+GG27g7LPP5owzzmDXXXfl9ttvp7KykrvuuiulXGVlJS0tLYlPbW1t3jY6HTJhyhc9ADNPqYfOAi7JWZXAscSwQjvKWD9BEAQrKZqX765Zs4a2tjbmz5+fWOfxeJg3bx6vvPIKCxcuzKgTCoV46623uPzyyxPrdF1n/vz5vPLKKyllH3zwQR544AFaWlo4+uij+elPf0plZfZrHcFgkGAwmPje3d1NoNegq81PsDv//nW1+fKvZEHdfOvnUtasTLZ6Xd0+HF9WBLs0GMitbvr3Hp+PuslOfFtC0JvDNkfpg9V6jFfb6dqNdXvZ9BuLzYXUGY82JqLtfCgWO9IpVrtyoZRttwrRYJhctAj1B0ctkwtFc4apra0NgObm5pT1zc3Nid/S6ejoIBqNjlrnm9/8Jg888ADPPfccl19+Offffz+nnHLKiPYsXboUj8eT+EyfPr2A3pUxTtjyZT84x96E4YY1Z7cVfC9PyWGBdpSzfoIgCBYyYWeYHnzwQc4999zE97/85S/jtq1zzjknsbz77rszefJkDj/8cFavXs32229vWufyyy9n0aJFie/d3d08/eu98bTUE6ltHLMt3mkTUzff+rmUNSuTvk73wYwL6un+owaNunm5fmhZVkPoRkfKfTZDZfQumPaDOnof0sGbOcfPZutofbBaD6vbzqZdClm0S2lnFP3GYnMhdcajjYloOx+KxY50itWuXChl261CNBhmJC2Cfdnvg86HCZswHXPMMcybNy/xfejyV3t7O5MnT06sb29vZ+7cuaZtNDY2YrPZaG9vT1nf3t5OS0tL1m0PbXfVqlVZJ0wulwuXy5Vnr4R0jGroOKsfZ3VV1jL6AFR87CDUj+k70YYTOJaXP6zQjjLWTxAEwUom7JJcTU0Nc+bMSXx23XVXWlpaWLlyZaJMd3c3r732GgcccIBpG06nk7333juljmEYrFy5MmsdgHfffRcgZWImjBNO6J0fLOxJL4sSOJYcVmhHGesnCIJgIUUzgmqaxkUXXcS1117Ln/70J95//31OPfVUpkyZwnHHHZcod/jhh3PzzTcnvi9atIg777yTe++9l48//pjzzjuPvr4+zjjjDABWr17NNddcw1tvvcXatWv505/+xKmnnsoXv/hF9thjjwnpazmhd8KshfWwpYCn5CxK4FhqWKEdZayfIAiClRTNU3IAl156KX19fZxzzjkEAgEOOuggVqxYgds9/DKt1atX09HRkfh+0kknsXXrVq688kra2tqYO3cuK1asSNwI7nQ6eeaZZ7jpppvo6+tj+vTpHH/88VxxxRV522fTJa1AvhgeaP9BLxV1NWNvI57AUaussNS2YscK7Shj/QRBEKykqCZMmqaxZMkSlixZkrXM2rVrM9ZdeOGFXHjhhablp0+fzt///ndL7Kur1llnSUtlhB0G9g1T4Szskpz/1AG87uz38myTWKEdZayfIAiChRTNJblSINArlzTyRe+E2Qu9hV2SsyiBY6lhhXaUsX6CIAhWIhOmPIgaaqJNKDkMD2y6NgDeAtqohMDxA1BmJ0is0I4y1k8QBMFKZMIkjC86ROqNwiLNCV1fGyz8abFSwwrtKGP9BEEQLERGUGFc0f0w8wIvdORQOFsbPph1cj10lNclJSu0o4z1EwRBsBKZMAnjilEP627xQQEJaYcSOGZLzLitYoV2lLF+giAIViITJmF8McDu12GkkxsuCE2OgDvL71YlcCw1rNCOMtZPEATBQmQEFcYVvQumXlEHI7xQ2qiGTTd2Q22Wd6FZlMCx1LBCO8pYP0EQBCuRCVMe1GV5uamQHaMB1jzig6axazeUwJE6S00reqzQjjLWTxAEwUqKKnFlsRMKK7ra/AS786/b1TbCaYJxrJtv/VzKmpXJVq9ro4/aj6rwHdYB9tzqZnzv8NE1HTxbwrltc5Q+WK3HeLWdrt1Yt5dNv3zasKLOeLQxEW3nQ7HYkU6x2pULpWy7VYgGw+SiRag/aMm25JRJHvQHJQ9Tvth7dWbf1YLeVUAbAZ25F81B77TSsuLHCu0oY/0EQRCsRM4w5YmnpZ5I7dgfW/JOm5i6+dbPpaxZGbN1ax/xZ6zPpW7ieySWwLFuNy/YM+f42WwdrQ9W6zEebZtpl/f2RtEvpzYsrDMebUxE2/lQLHakU6x25UIp224VosEwI2kR7Bu0ZBtyhkkYX0JQ/YwLBgu44diqBI6lhhXaUcb6CYIgWIgMocK4ovdC4+8qobeANixK4FhqWKEdZayfIAiClciESRhXDC+sfdgPjQU8JWdRAsdSwwrtKGP9BEEQrEQmTML4EgLPH92FXVbKJYHjtogV2lHG+gmCIFiITJjyoNKlTbQJJYfeD3WPVUBfAW3kkMBxW8QK7Shj/QRBEKxEJkx54HTIhClfjDpY94AfGkYItVHOpFiVwLHUsEI7ylg/QRAEK5ERNA8CvXJNI28Gof6+ihEP6HoPeB+thGwJQSNQ8YYDQmWmvxXaUcb6CYIgWIhMmIRxRQ9C7bNu6C+gjS5o/mU1BKy0rPixQjvKWD9BEAQrkQmTMK4YHlh3jx+8BTwl1xBL4Fhul5Ss0I4y1k8QBMFKZAQVxpdBaLy1CvoLuBxkVQLHUsMK7Shj/QRBECxEJkzCuKIHofJtBxSQmd6qBI6lhhXaUcb6CYIgWIlMmIRxxfDA+t8GCrskZ1ECx1LDCu0oY/0EQRCsREbQPLDpklYgb/qhaVk1FPKEoVUJHEsNK7SjjPUTBEGwEPtEG1BK1FXrvNfmJzjSI9xZ6Gobe9bAQurmWz+XsmZlstXr2Rxg6qpaOtb7MGrNy/VtDQBeAq0+jFBmmb61AWY+NosNX/Jh1I2+zdH6YLUe49V2unZmpGtnWiaLfmOxuZA649HGRLSdD8ViRzrFalculLLtViEaDJOLFqH+oCXbkjNMeSB5mPLHqDb46Oq1WQ/4uRCpNXjv+s9MD/bbMlZoRxnrJwiCYCVyhikPoobC01JPpHbsbzH1TpuYuvnWz6WsWZmMdf3QsqyG0I0OqNZNy+mdsb91k70pj74nygxC/e8r0BZVgDtzjp/N1tH6YLUelredRbtksmmXwij6jcXmQuqMRxsT0XY+FIsd6RSrXblQyrZbhWgwzEhaBPsKfHImjpxhEsYV3QBbQBv5xa82MOwKbFnasCiBY6lhhXaUsX6CIAhWIhMmYVwxqmHTjd1Qmz3URntnmlUJHEsNK7SjjPUTBEGwEhlBhXFF74Upl9VCTwH3f1mVwLHEsEQ7ylc/QRAEK5EJk1D0WJXAsVwR/QRBEApHJkzCuGJUw+afd0NNAYkrLUrgWGpYoR1lrJ8gCIKVyAiaB3VZnlQSsqP3wtSLa6G7gMtBViVwLDEs0Y7y1U8QBMFKZAaQB6GwmmgTSg5Dh2idKijS9Ai41tghYqVlxY8V2lHG+gmCIFiJTJjyoD8oE6a8qYS2xT1Z8wjlglELG24NQF2ZhasF2lHO+gmCIFiIjKDCuKJ3w/Tz6yBQ2CW5lqtryu6SkiXaUb76CYIgWIlMmIRxxbBDcHakoJzyOSVw3AaxQjvKWD9BEAQrkQmTML5UwpYf9hZ2SS6HBI7bJBZoRznrJwiCYCFFNYIqpbjyyiuZPHkyFRUVzJ8/n08//XTEOi+88AJHH300U6ZMQdM0nnjiCUvaFaxB74IZ364D3winN4z4O9EM8zKWJXAsMazQjjLWTxAEwUqKasJ03XXX8atf/Yrbb7+d1157jaqqKhYsWMDgYPaMe319fey5557ccsstlrYrWIPhgv69wuDOXkb3w8wLvNDxn7Ss+BHtBEEQiocC746wDqUUN910E1dccQXHHnssAPfddx/Nzc088cQTLFy40LTekUceyZFHHml5u8FgkGAwmPje3d1NpUujq81PsDv//nW1+fKvZEHdfOvnUtasTLZ6XQEfXV/34fF5wWderm9rAPASaPVhhDLLdPX68F/kw9Plha4ctjlKH6zWY7zaTtfOjHTtTNvJot9YbC6kzni0MRFt50Ox2JFOsdqVC6Vsu1WIBsPkokWoPzhqmVwomjNMa9asoa2tjfnz5yfWeTwe5s2bxyuvvPIfb3fp0qV4PJ7EZ/r06Tgd2pjtKFdsPTq7X7odusmBOlf0Pp2dfzYDvddKy4ofK7SjjPUTBEGwkqI5w9TW1gZAc3Nzyvrm5ubEb//Jdi+//HIWLVqU+N7d3c3Tv94bT0s9kdrGMdvjnTYxdfOtn0tZszIZ6wahZ36Quu294NZNy+mdsb91k73QZFKmH1SjRt00r+kN0NlsHa0PVuthedtZtEsmm3YpjKLfWGwupM54tDERbedDsdiRTrHalQulbLtViAbDjKRFsM+a228m7AzTgw8+SHV1deITDocnyhRTXC4XtbW1KR9hDLjBf+pA1gN+TliUwLHksEI7ylg/QRAEC5mwEfSYY47h3XffTXwaG2Ozw/b29pRy7e3ttLS0jHk7Q3WtblfIDT0AM0+ph86xP6FlWQLHEsMK7Shj/QRBEKxkwiZMNTU1zJkzJ/HZddddaWlpYeXKlYky3d3dvPbaaxxwwAFj3s7s2bPHpV0hN4xKCBw/AFUFtGFRAsdSwwrtKGP9BEEQrKRoztFrmsZFF13Etddey5/+9Cfef/99Tj31VKZMmcJxxx2XKHf44Ydz8803J7739vYmzlIRv8n73XffZf369Xm1K4wTTuj62mDBl+SsSOBYclihHWWsnyAIgoUU1f+cl156KX19fZxzzjkEAgEOOuggVqxYgds9nIhm9erVdHQMJ5158803+dKXvpT4PnSj9mmnncY999yTc7vC+KD7YMYF9XT/0YDGsR2w9S6Y9oM6eh8ywFs+B30rtKOM9RMEQbCSopowaZrGkiVLWLJkSdYya9euTfl+6KGHopQquN1csOmSViBfjGroOKsfZ/XYrysNJ3B0WWpbsWOFdpSxfoIgCFYi/27mQZ1c0sgfJ/TODxZ2WckNHef3QWWZ6W+FdpSxfoIgCBYiI2geBHrlKaN80Tth1sJ62JJdO6Me1t3igyxpNPQumHl6/cjvVNsGsUI7ylg/QRAEKymqS3LFTtRQ8mqUfF+NMuAjemYQrd8FG7PU3RJbZ2w2b6ury4d7f41+n4L+HLa5rbwaJU070zJp2pmWyaLfWGwupM54tDERbedDsdiRTrHalQulbLtViAbDlOWrUYRtFDt079FX2NTcCa3HdY74EtptEiu0o4z1EwRBsBA5w5Qn8mqUkcukr9M7YeYFXroex/y1JyPUHfquB2D6hfX0PKZBQ/m8GiWbdvlubzT9xmJzIXXGo42JaDsfisWOdIrVrlwoZdutQjQYZpt+NYpQHhge2HRtALwFtGFRAsdSwwrtKGP9BEEQrEQmTML4okOk3igs0qxK4FhqWKEdZayfIAiChcgIKowruj92WYmOHApna8MHs06uh47yesrLCu0oY/0EQRCsRCZMeSB5mPInl8feR20jnsCRaistK36s0I4y1k8QBMFKZAaQB6HwyBnFBRMMsPt1KOTkhlUJHEsNK7SjjPUTBEGwEBlB86A/KBOmfNG7YOoVdVBA2pBcEjhui1ihHWWsnyAIgpXIhEkYV4wGWPOIb9TH4kdswwPtP+iFOktNK3qs0I4y1k8QBMFKJA9Tnkim7zwzfW/0UftRFb7DOsBuXq7v3wF2XTKLDTd3YNSZZPru8NE1HTxbwrltc1vJ9J2mnRnp2pm2k0W/sdhcSJ3xaGMi2s6HYrEjnWK1KxdK2XarEA2GkUzfwjaDvVdn9l0t6F0jFDJAj+gQzdJGQGfuRXPQO8fLyuLECu0oY/0EQRCsRM4w5Ylk+h65jNm6tY/4s2bxJn6PDUDdZK95NvBILIFj3W5esJdPpm+yaJdMNu1SGEW/sdhcSJ3xaGMi2s6HYrEjnWK1KxdK2XarEA2GkUzfQukTgupnXDBYwA3HViVwLDWs0I4y1k8QBMFCZAjNg0qXNtEmlBx6LzT+rhJ6C2jDogSOpYYV2lHG+gmCIFiJTJjywOmQCVO+GF5Y+7AfGgt4Ss6iBI6lhhXaUcb6CYIgWIlMmPIg0Ct5bPImBJ4/ugu7rGRVAsdSwwrtKGP9BEEQLEQmTMK4ovdD3WMV0FdAGxYlcCw1rNCOMtZPEATBSmTCJIwrRh2se8APDQVckrMogWOpYYV2lLF+giAIViJpBfJEElfmmbhyvY/JTzXgO70D3FkSV24NAF4CrT6MkEniyiwJHLf5xJVp2pmRrp1pO6MkwJTEleNHsdiRTrHalQulbLtViAbDSOJKYZvBFtRp/IcHvYB4zSmB4zaIFdpRxvoJgiBYiZxhyhNJXDlyGbN16+8LjJi4khD4TuqnbicvuE0SV46SwHFbTlxppl0KWbRLZ7QEmKPZYWWd8WhjItrOh2KxI51itSsXStl2qxANhpHElUWGTZe0AnkzCI23VkH/CI9oOaHra4PZD/hWJXAsNazQjjLWTxAEwUJkwpQHddUiV77oQah82wEFTPCtSuBYalihHWWsnyAIgpXIJbk8CPQa9HwcYNATm2pqA6BcgAbaICg3oEALgqoBZY+vr4SuTT70cPwMVRS0cLx8JFYeLb4cjbcZBs2ILfdu9oPS0PpBi8TqKSdoIVAa4IhvU48vD8a2jQ30APT4/LFlHyhHbL02EGsjsewCVQU96/wYThXrxwCoinif4v3AgJ71/life+I2VEBPqx89ErMxuR89W/18+GM/Nf310AXdrX6UU8X6p2I2dG/wJzTWe6G3zY+yxzJUKx26u/18cHWAmi2xR+O1ICgbdHf70KJa7MWzSX3q2upDH9RieYd00PrjvgjH+tHT7QcVew+bqoj1SQvGl6MxjY362HLPRj+GS8X6FEny2dByMPb4/5DPercEUA6VuF9IOVL9hG3YTz3r/CibApJ8NhQzDujx++n5YYDq9jroSIq3pNjr2epHD8Y10FL9lIi9AR9dS/3UDNbDOtB74r6P+6mny48WieudFntKA802HG8Q99l6P+hx24diL+4/ZYv3I5i0PJgWe5XQ1WXiJ3e8H8mx1xerl+GnUNLy0P5kxLbXFfChRZL2y6Q+JWLPAXq3uZ9S9qd4P1RNfNmepU9D+1P/8JjRtz6A4VRofSZjRDz2ULG2s/YpKd60/nhdV5Y+OWP1AIzK+DqTPmXEHrG2svYpOfaCYHhM/GQSe4RjGpv2aWisS1pWjix9Mom9hBZpfjKLPaMmXibNT8qdGXt6IF4mzU9msadscRvTx4Xk5SE/xbeT7ifT2HPGxuOMcSG+3LPOj2GP+683ZmuGn8yOT/FDUIafzGLPFR/jTfxkFnuGJ6lPoxyfiAzHUtYxIu4nojEtso0RXa0+9JCWiGWtL9NPoV5rbvqWCVMeRA1FyyWzho8OI9Cy60dMn/tP3l5+PAd/504+/bSRthe+wsFn3Ydv3XRWvXQQ+/33w2z5dHvWvrYf/X7vCK0N/2Z3DdKyy7+Yc/DL/Gvll3BV9zJ73ht8+H8LqG1pY/rn/8k/nzyaSXNW0bTDKl76zTkp9UfioHPv4KXfnMPMr/+W6ZMMXvrNORx07h1EQk5evft0Dv3uLfR1enlz+dexV/YS7kpuN9s2vGiOIF848x5aP9yNtvVNtBzyFJFPDiTYW83Ohz/HO88cAMDn56/gtfu/yUBg+6z9T6Z+j3/Tu24HdjnkJbwzN/CPu05jtyNX0F2xkc8eOY99TnycqgYfz//6AmYf+DJr/vGFUWyNodkiHHL+b/Ctm87Hf/8CM465H9fWndn47lz2OvExNn+4C1tXzWHPY/8fq186gA3v7JWDDmBzhPDOXJ/w02t/+CrVM//Nbvs+zdvLj2fa3Hdp2mE1rz94MnMOeon3/rIAoq4RbR3a3l4nLsdZ3Zfip6HY++Rfk2h7/lgO+vZddG2aygf/dwRG2JmTzd5Za3BWDrDz4c+x6sWYfnMOfpm3/u8Q7JW97HnI04nYi4ScrHt9v1HsHW63/uA/Z/hp/zPuwe4MZcRerjire3BX9zHpv/5M96e7EdnsZM9j/x8b3tmT7rYWdjvyada8ti/B3mrmHPxSfP/IjYPOvYP3njwmw0/JseeZ3M6Lt5+No2KAwW5PTvuebg/zxfPuoKu1mQ//7wgOPPPejDFiKPbe/sPX6G6dkpO9M/d7nWBvtekYkR57VY1baf1g95y1yOan9Nhr/9cOfPy3L+fUps0RYta81zP8lC32uj+eQTQljrOz46HPMWX3jzL8tNeJj5nGXq5M3fNd/BtmZPgpeYwYir1Kry/n/aOmuY29v/FYYiyfstvHKWPEy/ctpHGfF9hp1828fOeZhAcrcmrXXednMFCf4Sez2NvrxD/kvX+sfS3Wv9GOT30dDYT6q3JqV7eH2fsbf8g6RmzYqrPu8W9z6Hdv4f2/HEHnZ+nHDwiR5RHiPNGUUsqSlrZxuru7Wf6zHTgg1ESdE3RdEQo6cDhjU+pwKHXZXRlEtxlEQnac7jCrtoYxInZ2nKxhRDWiERsOVwQjqhEO2dE0iEZ1VFTH7owQjegopWF3RPmsI4JSGttPsmHEf7c7okTCNjRNYbMbREI2ND22HA7Z0XUD3WYw0FPB+u4BdJtialUlNnsUXVeEg3ZsjmiiH3ZHBFdFiE/bFDZHmO0anISDDhyuMKhYn5zuMIahsao9di/MDI+LaDjWjzWdYYyoje2bdIyohhG1YXdG+NcGnX/+8euceMFjOFwRPuuIYHNEmOlxJ/r3aXsUgB2abQz2O1nrC6PbDKZVV6BpitXt8PoD3+S47zxOtaefSMiObouysa8fI2pjTpOOblOEgw5s9ghrA0EiIQdzmvVY/wYd6LYo0YiNcMjBpr5YJsipVVU4XbE+RcL2xLIR1amsGcSIaqzaYmB3hplV5yIateGI+8YwdBzOCOGQjXDQgd0RJRrRWesPY7NHmV4TG8Bs9lQ/6bqR8NOnbQaabjCnyU44ZMdmi8b7Ycdmj/LROjvv/OEEjj7z/1FZHUz4KTn21vpDRMMOdpoWRddUip+GYu+jtXZeve9bLLz4YdyVQQYHXNjt0YSfYjrqzKh1Z8QeKHSbSsQbkPCZpinmNNkTsQcQ7Heh2Qxs8djXh/oUsqfEnsMdZmNvf4afHM4waKTEXnDQia6rDD8NxZ5hxPcnZwRlgG5XbOiJ9WlmnTvhM2Vo2J3RRP9s9iiDfW5TP6XuW3Y0m4G7MkgknOmn5NjTbbF+KAWaBqvaY/vTrHpnxhgx1A8Ad2UoPi7YcbjCGWPEUOwFBx1EQ/YMP6Uux/zkdIdQSjMdI9JjD6VQSs/wU/oYoeuKcNhOZdVAhp/MYi8S0Qn2uTL8lDxGJI97Nns0w0/ZYm9GbYWpn8xiz1UZxG43Mvxkd0YyYq+/twK7PZLhJ7PY03QDlJbhp+QxYij2NH0oNlL9ZBZ7NnsUV0U4MZYPjetDsffvVoVujzBnkoNgvxMFGX4yOz5pmgK0DD+ZxZ7dGSHY7zT1k1nsVVQPJvo02vEpGont8yONEUOxZxgxe7ONEZ91xsbAHSdrhIJ2QoPODD91DRjs/L8f09XVRW1t7ZjnATJhypGhCdNhrmo8tvxPzH3WGZvhbteQ239EVtXNt34uZc3KZKuXvj6XurnUGcv6fPo4lrJWtz1WX4zHdqyoMx5tTETbpWhHOsVqVy6Usu1WIRoMk4sW3YNRZv98dcETJrmLWRhXIiE77zx2HKHBsV/9jYTsrHrxQCKh8gpXK7SjjPUTBEGwErmHKU82dkXoVPk/nr0hEB7zNgupm2/9XMqalclWb4NPo7+3gs86IzjdoZzqZnzvtLHpg91YtffbOCtDWcvl2ger9RivttO1G+v2suk3FpsLqTMebUxE2/lQLHakU6x25UIp224VosEwuWjRG7ImpYpMmIRxxe4OMePY+3C6HWNvo2KQ7U6+FWfl2NsoRazQjjLWTxAEwUpkwpQHddU601z2Md3DNEQh15wLvV6dT/1cypqVSV8XHnTyzyeOZf8z/w9XRSivukPfIyE7n/79i0z72qs4XZGcbR2tD1brYXXb2bTLd3uj6TcWmwupMx5tTETb+VAsdqRTrHblQinbbhWiwTCj3cNkBXJTQx6EwnJ//HgQGnTy2v3fZLDfPOCNiJ3OtbOIhGV+n85o2iH6CYIgWIKMoHnQH1RsHJR7mPK5h6ltMEzzEQ+xqd8B/eblNnU6GQjU89lWA3d15n1O7aEwM0/8DW1BByTlH9vW72FK186MdO3MyKbfWGwupM54tDERbedDsdiRTrHalQulbLtViAbD/CfvYZIzTMK4Ehl0sv7JUwkNjv3UsRFy0Prc0URC5TW/t0I7ylg/QRAEKymqEVQpxeLFi7nzzjsJBAJ84Qtf4LbbbmOHHXbIWueFF15g2bJlvPXWW7S2tvLHP/6R4447LqXM6aefzr333puybsGCBaxYsSJvG6d55B6mkcqkr4uEDALVA2zXYMfpNi832GtnHTCjzkm1J5JRJtSvs8nfzIxaN+6qzLMo2+o9TNm0SyabdsmMpt9YbC6kzni0MRFt50Ox2JFOsdqVC6Vsu1WIBsOU3T1M1113Hb/61a+4/fbbee2116iqqmLBggUMDmZ/+2hfXx977rknt9xyy4htH3HEEbS2tiY+Dz/88Dj0QEjH7ozw+eOfwOnOfrPxaDgrBznwzHtHPNhvi1ihHWWsnyAIgpUUzRkmpRQ33XQTV1xxBcceeywA9913H83NzTzxxBMsXLjQtN6RRx7JkUceOWr7LpeLlpaWgu2UPEz53cO0ps3Gxj//N6Fv/h5n5aBpudb4i2rXB0K4I5n3MK3bAq3PHUvka3/B7hyePGzr9zCla2dGunZmZNNvLDYXUmc82piItvOhWOxIp1jtyoVStt0qRINhyvIepjVr1tDW1sb8+fMT6zweD/PmzeOVV14puP3nn3+epqYmdtppJ8477zw6OztHLB8MBunu7k75CPmj61FcDVvQ7WM/S2IYGtHBSgyjaML1P4IV2lHG+gmCIFhJ0ZxhamtrA6C5uTllfXNzc+K3sXLEEUfw9a9/ndmzZ7N69Wp+/OMfc+SRR/LKK69gs9lM6yxdupSrr746Zd1DP22WPEyjlMlcF2Lm11bE1ztNy412DxOEmH3awxltjGZrqd/DlE27ZHK5h2k0/cZicyF1xqONiWg7H4rFjnSK1a5cKGXbrUI0GGabvofpwQcfpLq6OvEJh8fvFOPChQs55phj2H333TnuuOP485//zBtvvMHzzz+ftc7ll19OV1dX4rNhwwacDm3cbNxWCfW7eenOM+nvzXLXcg6EB528+ciJBAfKa3CwQjvKWD9BEAQrmbAzTMcccwzz5s1LfA8GYwli2tvbmTx5cmJ9e3s7c+fOtXTb2223HY2NjaxatYrDDz/ctIzL5cLlcqWsC/Qa4DItLmRBt0domLUWu6Owy0rliGgnCIJQPEzYhKmmpoaamprEd6UULS0trFy5MjFB6u7u5rXXXuO8886zdNsbN26ks7MzZWI2Gkop1rWF+VNHFKceQtMUKuwEe/xG20jqsuYKoukKIg40R4gtXVEwHDTVD6IMDQw7mj2MMnSMqI6GQhk6GDqaPYKK2kBpaPYIW7sBpTHJE0ZFbeiOKJotioraARVbjthBS1rWDdANjAEXHf1h0A0a3YAeQdMVKuIYXg47wR5Gd0bY6tfBFmJSjT2zT44QSmlsDWgozaCxIpLox9ZuAww7k+r6UvqxtVuhTfk//vSJQkVtbO2Jgi3CpEoXoKHZIrS2u9jCGv70Lz82m0FHjwF6lEa3Ak3RMRCCXR7miQ80NN1I9K8zGISojUmeYLwfDrBF2NoXhoiTSXXBhJ8MPQxRHSJOOuJPXTa6tUSfhvykDA2UHZs75qetXYA9zKQq57BvkvpnRGyosD3hs45eA2wRGitiNxnG/GRLLGualvDTloAGWpQmz2CiT7H+xXyzpUvBpL/xx/dUip+SY6+9w8FW1vDkhwGcVYMpfkqJvc89yP/71EAZGkbIhWYLJ/rRMRgEQ6exUmXEnkJD10GzRVL6sSUAaGrYdk2hNAMVdCb1I7NPidizh+kcDGb4yWx/MsJONC2a6afEPpS6P+k2xdaBQTB0JlVFMvsUtQEa2CIY8RxX6X4y2590Vxiy9Skee0N+MpSBpim2BmxgC9FYHc66P4GOzRnvU9SO5sjs01C8RcN2iNiy9CmtH84wmrKZjhHpsWeg0BSZfkobIzRNoSJOdPeA+biXFntGVEOFXKZ+MtufNJ0MP2WLvcbKsKmfzGJPcwbRbZl+St+fAIzBCrBl71NKPzSFjm3EPg35SelRVMhhHm/psWczsDnDWfu0xa+BHqHJM0g05ACVfYxI95Ou2cz7lBZ72MMYQceIfUqOPd0dgpQ+ZT8+GVFt9DFiaFnZ0B3Z+7S1JwJRJ031g0QjNgg5M/zUH1KJ43hBqCLi5z//uaqrq1NPPvmkeu+999Sxxx6rZs+erQYGBhJlDjvsMPXrX/868b2np0e988476p133lGAuuGGG9Q777yj1q1bl/j9kksuUa+88opas2aNeuaZZ9Ree+2ldthhBzU4OJizbatXr1aAfOQjH/nIRz7yKcHPhg0bCpqjFM1N3wCXXnopfX19nHPOOQQCAQ466CBWrFiB2z18D8fq1avp6OhIfH/zzTf50pe+lPi+aNEiAE477TTuuecebDYb7733Hvfeey+BQIApU6bw5S9/mWuuuSbjkttIeL1eANavX4/H47Gox0K+dHd3M336dDZs2EBtbe1Em1OWiA+KA/HDxCM+KA5G84NSip6eHqZMmVLQdjRV8Dmq8qC7uxuPx0NXV5fsGBOI+GHiER8UB+KHiUd8UBz8p/wgiVkEQRAEQRBGQSZMgiAIgiAIoyATphxxuVwsXrw4r/ueBOsRP0w84oPiQPww8YgPioP/lB/kHiZBEARBEIRRkDNMgiAIgiAIoyATJkEQBEEQhFGQCZMgCIIgCMIoyIRJEARBEARhFMp2wnTLLbcwa9Ys3G438+bN4/XXXx+x/PLly9l5551xu93svvvuPPXUUym/K6W48sormTx5MhUVFcyfP59PP/10nHtR+uTjhw8//JDjjz+eWbNmoWkaN910U8FtCjHy0ezOO+/k4IMPpr6+nvr6eubPn59RXvaH/MnHB48//jj77LMPdXV1VFVVMXfuXO6///6UMuKDsTHW8eORRx5B0zSOO+64lPXih7GRjx/uueceNE1L+SS/IQSr/FDQi1VKlEceeUQ5nU511113qQ8//FCdffbZqq6uTrW3t5uWf/nll5XNZlPXXXed+uijj9QVV1yhHA6Hev/99xNlfv7znyuPx6OeeOIJ9c9//lMdc8wxGe/BE1LJ1w+vv/66uuSSS9TDDz+sWlpa1I033lhwm0L+mn3zm99Ut9xyi3rnnXfUxx9/rE4//XTl8XjUxo0bE2Vkf8iPfH3w3HPPqccff1x99NFHatWqVeqmm25SNptNrVixIlFGfJA/Yx0/1qxZo6ZOnaoOPvhgdeyxx6b8Jn7In3z9cPfdd6va2lrV2tqa+LS1taWUscIPZTlh2m+//dQFF1yQ+B6NRtWUKVPU0qVLTct/4xvfUEcddVTKunnz5qlzzz1XKaWUYRiqpaVFLVu2LPF7IBBQLpdLPfzww+PWj1InXz8kM3PmTNMJUyFtliuFahaJRFRNTY269957lZL9YUxYEbef//zn1RVXXKGU+GDMjMUPkUhEHXjggeq3v/2tOu2001ImTOKHsZGvH+6++27l8XiytmeVH8ruklwoFOKtt95i/vz5iXW6rjN//nxeeeUV0zqvvPJKSnmABQsWJMqvWbOGtra2lDIej4d58+ZlbbPcGYsfJqLNbR0rNOvv7yccDideUC37Q34U6gOlFCtXruSTTz7hi1/8IogPxsRY/bBkyRKampo466yzMn4TP+TPWP3Q29vLzJkzmT59Osceeywffvhh4jer/FB2E6aOjg6i0SjNzc0p65ubm2lrazOt09bWNmL5ob/5tFnujMUPE9Hmto4Vmv3oRz9iypQpicFI9of8GKsPurq6qK6uxul0ctRRR/HrX/+a//qv/wLxwZgYix9eeuklfve733HnnXea/i5+yJ+x+GGnnXbirrvu4sknn+SBBx7AMAwOPPBANm7cCBb6wT6G/giCIADw85//nEceeYTnn38+4yZLYXypqanh3Xffpbe3l5UrV7Jo0SK22247Dj300Ik2rSzo6enhW9/6FnfeeSeNjY0TbU5Zc8ABB3DAAQckvh944IHssssu/OY3v+Gaa66xbDtlN2FqbGzEZrPR3t6esr69vZ2WlhbTOi0tLSOWH/rb3t7O5MmTU8rMnTt3HHpR+ozFDxPR5rZOIZpdf/31/PznP+eZZ55hjz32SKyX/SE/xuoDXdeZM2cOAHPnzuXjjz9m6dKlHHrooeKDMZCvH1avXs3atWs5+uijE+sMwwDAbrfzySefiB/GgBXjuMPh4POf/zyrVq0CC8eksrsk53Q62XvvvVm5cmVinWEYrFy5MmWG+v/bubuQpv4/DuDv2dwmicwsZlBJI2Y07SKWICESQlJkdROFJEbPREHQk2G1SlhRI3q46KIHAy8c6k0XPWOIs0hKN7QWPQy9EC8ykiWVhu7zu/lz/h0ffsfjb2xp7xfsYt/z/Z7v2T4efPM9O+d3+fn5qv4A8PTpU6X/4sWLkZmZqerz7ds3tLa2TrjPv91U6pCIfc50U/3OLl68iKqqKjx69Agul0u1jeeDPrH6u41GoxgaGgJYgynRW4elS5eis7MTwWBQeW3YsAGrV69GMBjEwoULWYcpiMX5MDIygs7OTiUcxawOk/55+Azi8/nEbDbL3bt3JRQKyZ49e8RqtSq3IZaVlUlFRYXS//nz52I0GsXr9cq7d+/E7XaP+1gBq9Uq9+7dk46ODtm4cSNvHdWgtw5DQ0MSCAQkEAjI/Pnz5ciRIxIIBOTjx4+T3ieNpbcOFy5cEJPJJA0NDarbeAcGBlR9eD5Mnt4aeDweefLkiYTDYQmFQuL1esVoNMrNmzeVPqyBfnrrMNrou+SEdZgSvXU4e/asPH78WMLhsLS1tcnWrVvFYrHI27dvlT6xqMNfGZhERK5fvy6LFi0Sk8kkeXl58vLlS2VbYWGhlJeXq/rX1dWJw+EQk8kkTqdT7t+/r9oejUbl1KlTYrPZxGw2S1FRkbx//z5un2e60lOHrq4uATDmVVhYOOl90vj01CErK2vcOrjdbqUPzwf99NSgsrJSlixZIhaLRdLT0yU/P198Pp9qf6zB1Oj93/C78QIT6zA1eupw6NAhpa/NZpN169ZJe3u7an+xqINBRETPchkRERHR3+av+w0TERERkV4MTEREREQaGJiIiIiINDAwEREREWlgYCIiIiLSwMBEREREpIGBiYiIiEgDAxMRERGRBgYmIprRbt++jTVr1iRk7oqKChw8eDAhcxNRbPFJ30Q0Yw0ODsJut6O+vh6rVq2K+/xfvnyB3W5HMBiE3W6P+/xEFDtcYSKiGauhoQFpaWkJCUsAMHfuXBQXF+PGjRsJmZ+IYoeBiYj+eH19fcjMzITH41HaXrx4AZPJhMbGxgnH+Xw+lJSUqNq2b9+OTZs2wePxwGazwWq14ty5cxgeHsbRo0cxZ84cLFiwANXV1cqY7u5uGAwG1NXVoaCgACkpKVi5ciU+fPiAV69eweVyITU1FWvXrkVfX59qvpKSEvh8vph+H0QUfwxMRPTHmzdvHu7cuYMzZ87g9evXGBgYQFlZGQ4cOICioqIJx7W0tMDlco1pf/bsGXp7e9Hc3IzLly/D7XZj/fr1SE9PR2trK/bt24e9e/eip6dHNc7tduPkyZNob2+H0WhEaWkpjh07hqtXr8Lv9+PTp084ffq0akxeXh56enrQ3d0dw2+EiOJOiIimif3794vD4ZDS0lLJzc2VwcHBCfv29/cLAGlubla1l5eXS1ZWloyMjCht2dnZUlBQoLwfHh6W2bNnS21trYiIdHV1CQC5deuW0qe2tlYASGNjo9J2/vx5yc7OVs0XiUQEgDQ1Nf3HT09EiWRMdGAjIposr9eLnJwc1NfXo62tDWazecK+P3/+BABYLJYx25xOJ5KS/r/AbrPZkJOTo7yfNWsWMjIy8PnzZ9W45cuXq8YAQG5urqpt9JiUlBQAwI8fP3R9ViL6s/CSHBFNG+FwGL29vYhGo5qXuDIyMmAwGNDf3z9mW3Jysuq9wWAYty0ajU44zmAwjNs2eszXr1+B/11WJKLpi4GJiKaFX79+Ydu2bdiyZQuqqqqwa9euMas5vzOZTFi2bBlCoVBcj3O0N2/eIDk5GU6nM6HHQUT/DQMTEU0LlZWViEQiuHbtGo4fPw6Hw4EdO3b865ji4mK0tLTE7RjH4/f7lTvriGj6YmAioj9eU1MTrly5gpqaGqSlpSEpKQk1NTXw+/3/+oyjnTt34sGDB4hEInE93t/5fD7s3r07YfMTUWzwSd9ENKNt3rwZK1aswIkTJ+I+98OHD3H48GF0dHTAaOQ9NkTTGVeYiGhGu3TpElJTUxMy9/fv31FdXc2wRDQDcIWJiIiISANXmIiIiIg0MDARERERaWBgIiIiItLAwERERESkgYGJiIiISAMDExEREZEGBiYiIiIiDQxMRERERBoYmIiIiIg0/AM4YyrDmtUNOwAAAABJRU5ErkJggg==",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -1147,7 +1146,7 @@
    "id": "5b25750a-8c50-4f26-bc10-f62113d35d2b",
    "metadata": {},
    "source": [
-    "We execute the `TerminalComponentModeler` below. The output of the `run` method is the full S-matrix."
+    "We execute the TCM using the `tidy3d.web.run()` method below. The output is a TCM data object, from which we obtain the S-matrix using the `smatrix()` method. "
    ]
   },
   {
@@ -1156,10 +1155,55 @@
    "id": "eeb0274f-2549-4d82-940b-b1af7f1dc73a",
    "metadata": {},
    "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "
10:10:20 EDT Created task 'diff_stripline_3d' with resource_id                  \n",
+       "             'sid-0cdc3058-a600-414e-a0ff-d3f8fa7e2cab' and task_type 'RF'.     \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m10:10:20 EDT\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'diff_stripline_3d'\u001b[0m with resource_id                  \n",
+       "\u001b[2;36m             \u001b[0m\u001b[32m'sid-0cdc3058-a600-414e-a0ff-d3f8fa7e2cab'\u001b[0m and task_type \u001b[32m'RF'\u001b[0m.     \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
             View task using web UI at                                          \n",
+       "             'https://tidy3d.simulation.cloud/rf?taskId=pa-7d2c4744-92c6-4614-82\n",
+       "             a1-2f636d3a4ae3'.                                                  \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
+       "\u001b[2;36m             \u001b[0m\u001b]8;id=286257;https://tidy3d.simulation.cloud/rf?taskId=pa-7d2c4744-92c6-4614-82a1-2f636d3a4ae3\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/rf?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=111712;https://tidy3d.simulation.cloud/rf?taskId=pa-7d2c4744-92c6-4614-82a1-2f636d3a4ae3\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=286257;https://tidy3d.simulation.cloud/rf?taskId=pa-7d2c4744-92c6-4614-82a1-2f636d3a4ae3\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=311843;https://tidy3d.simulation.cloud/rf?taskId=pa-7d2c4744-92c6-4614-82a1-2f636d3a4ae3\u001b\\\u001b[32mpa\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=286257;https://tidy3d.simulation.cloud/rf?taskId=pa-7d2c4744-92c6-4614-82a1-2f636d3a4ae3\u001b\\\u001b[32m-7d2c4744-92c6-4614-82\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[2;36m             \u001b[0m\u001b]8;id=286257;https://tidy3d.simulation.cloud/rf?taskId=pa-7d2c4744-92c6-4614-82a1-2f636d3a4ae3\u001b\\\u001b[32ma1-2f636d3a4ae3'\u001b[0m\u001b]8;;\u001b\\.                                                  \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
             Task folder: 'default'.                                            \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=201389;https://tidy3d.simulation.cloud/folders/folder-7d2988e3-13d2-49df-8e7b-f9b5036adc0b\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "7c5f6bbe069047a3a1ed0670c24c3706",
+       "model_id": "f19a9f49c24449a9947ba7b16b8b0157",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1183,11 +1227,45 @@
     {
      "data": {
       "text/html": [
-       "
20:00:45 CEST Started working on Batch containing 2 tasks.                      \n",
+       "
10:10:22 EDT Child simulation subtasks are being uploaded to                    \n",
+       "             - WP2@0: rf-3b3984d6-1138-48ac-be6a-bd021661c1a9                   \n",
+       "             - WP1@0: rf-41aeb332-e488-439d-9847-52133e61e4fc                   \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m10:10:22 EDT\u001b[0m\u001b[2;36m \u001b[0mChild simulation subtasks are being uploaded to                    \n",
+       "\u001b[2;36m             \u001b[0m- WP2@\u001b[1;36m0\u001b[0m: rf-\u001b[93m3b3984d6-1138-48ac-be6a-bd021661c1a9\u001b[0m                   \n",
+       "\u001b[2;36m             \u001b[0m- WP1@\u001b[1;36m0\u001b[0m: rf-\u001b[93m41aeb332-e488-439d-9847-52133e61e4fc\u001b[0m                   \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
10:10:30 EDT Validating batch...                                                \n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m10:10:30 EDT\u001b[0m\u001b[2;36m \u001b[0mValidating batch\u001b[33m...\u001b[0m                                                \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
             Maximum FlexCredit cost: 1.676. Minimum cost depends on task       \n",
+       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
+       "             FlexCredit cost after a simulation run.                            \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m20:00:45 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m2\u001b[0m tasks.                      \n"
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m1.676\u001b[0m. Minimum cost depends on task       \n",
+       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
+       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
       ]
      },
      "metadata": {},
@@ -1196,11 +1274,11 @@
     {
      "data": {
       "text/html": [
-       "
20:00:48 CEST Maximum FlexCredit cost: 1.193 for the whole batch.               \n",
+       "
10:10:31 EDT Batch validation completed.                                        \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m20:00:48 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m1.193\u001b[0m for the whole batch.               \n"
+       "\u001b[2;36m10:10:31 EDT\u001b[0m\u001b[2;36m \u001b[0mBatch validation completed.                                        \n"
       ]
      },
      "metadata": {},
@@ -1209,13 +1287,13 @@
     {
      "data": {
       "text/html": [
-       "
              Use 'Batch.real_cost()' to get the billed FlexCredit cost after   \n",
-       "              the Batch has completed.                                          \n",
+       "
             Modeler Batch: diff_stripline_3d (group                            \n",
+       "             pa-7d2c4744-92c6-4614-82a1-2f636d3a4ae3)                           \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
-       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mModeler Batch: diff_stripline_3d \u001b[1m(\u001b[0mgroup                            \n",
+       "\u001b[2;36m             \u001b[0mpa-\u001b[93m7d2c4744-92c6-4614-82a1-2f636d3a4ae3\u001b[0m\u001b[1m)\u001b[0m                           \n"
       ]
      },
      "metadata": {},
@@ -1224,7 +1302,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "409a186e8cf84f7697d05a32064e3ab8",
+       "model_id": "5fe40365857f473d964391defcf9bbf6",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1238,11 +1316,11 @@
     {
      "data": {
       "text/html": [
-       "
20:14:16 CEST Batch complete.                                                   \n",
+       "
10:14:54 EDT Postprocess completed.                                             \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m20:14:16 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
+       "\u001b[2;36m10:14:54 EDT\u001b[0m\u001b[2;36m \u001b[0mPostprocess completed.                                             \n"
       ]
      },
      "metadata": {},
@@ -1261,7 +1339,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "230075144fba4f43a6d8b27f6a7a4e9d",
+       "model_id": "f90bf47fed5f4500b234b2f4c039488c",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1281,27 +1359,15 @@
      },
      "metadata": {},
      "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# s_matrix_long = tcm_long.run()\n",
-    "s_matrix = tcm_3d.run()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "id": "6341c948-6849-4992-a2b1-59e845cc6403",
-   "metadata": {},
-   "outputs": [
+    },
     {
      "data": {
       "text/html": [
-       "
20:14:36 CEST Total billed flex credit cost: 0.864.                             \n",
+       "
10:15:00 EDT loading component modeler data from ./cm_data.hdf5                 \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m20:14:36 CEST\u001b[0m\u001b[2;36m \u001b[0mTotal billed flex credit cost: \u001b[1;36m0.864\u001b[0m.                             \n"
+       "\u001b[2;36m10:15:00 EDT\u001b[0m\u001b[2;36m \u001b[0mloading component modeler data from .\u001b[35m/\u001b[0m\u001b[95mcm_data.hdf5\u001b[0m                 \n"
       ]
      },
      "metadata": {},
@@ -1309,8 +1375,8 @@
     }
    ],
    "source": [
-    "# Report cost of simulation\n",
-    "_ = tcm_3d.batch.real_cost()"
+    "tcm_3d_data = web.run(tcm_3d, task_name=\"diff_stripline_3d\")\n",
+    "s_matrix = tcm_3d_data.smatrix()"
    ]
   },
   {
@@ -1323,19 +1389,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 29,
    "id": "b928901c-c3b8-4e6a-acf8-5034cabe6e46",
    "metadata": {},
    "outputs": [],
    "source": [
     "# Get S-parameters\n",
-    "S11 = np.conjugate(s_matrix.sel(port_in=\"WP1\", port_out=\"WP1\"))\n",
-    "S21 = np.conjugate(s_matrix.sel(port_in=\"WP1\", port_out=\"WP2\"))"
+    "S11 = np.conjugate(s_matrix.data.sel(port_in=\"WP1\", port_out=\"WP1\"))\n",
+    "S21 = np.conjugate(s_matrix.data.sel(port_in=\"WP1\", port_out=\"WP2\"))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 30,
    "id": "24dfbd8f-4252-4e48-9ef0-b05820bb6a0c",
    "metadata": {},
    "outputs": [],
@@ -1359,13 +1425,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 31,
    "id": "bde8e965-d09f-4db4-acf2-5a3cd5aa6915",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -1414,52 +1480,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 32,
    "id": "c89580d6-691a-4ebb-ade9-a9601e904980",
    "metadata": {
     "scrolled": true
    },
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6552be5c58d7428ca5a048da8ed5b35f",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "# Load monitor data\n",
-    "tcm_batch = tcm_3d.batch.load()\n",
-    "sim_data = tcm_batch[\"smatrix_WP1\"]"
+    "# Load sim data for wave port 1\n",
+    "sim_data = tcm_3d_data.data[\"WP1@0\"]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 33,
    "id": "50a8c717-297d-46bb-8af2-df3712895073",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "
"
       ]
@@ -1480,6 +1520,14 @@
     "ax.set_ylim(-25 * mil, 25 * mil)\n",
     "plt.show()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d4e9a1b3-61e8-4ea9-95b3-9506da46fb45",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -1493,9 +1541,9 @@
    "Wave port"
   ],
   "kernelspec": {
-   "display_name": ".venv",
+   "display_name": "Python (dev env)",
    "language": "python",
-   "name": "python3"
+   "name": "tidy3d-dev"
   },
   "keywords": "differential stripline, stripline, interconnect, high-speed, broadband, waveguide, microwave, Tidy3D, FDTD",
   "language_info": {
@@ -1508,7 +1556,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.5"
+   "version": "3.13.2"
   },
   "title": "Differential Stripline Benchmark"
  },
diff --git a/EdgeFeedPatchAntennaBenchmark.ipynb b/EdgeFeedPatchAntennaBenchmark.ipynb
index e759dcc2..686bc13c 100644
--- a/EdgeFeedPatchAntennaBenchmark.ipynb
+++ b/EdgeFeedPatchAntennaBenchmark.ipynb
@@ -36,6 +36,7 @@
     "import numpy as np\n",
     "import tidy3d as td\n",
     "import tidy3d.plugins.smatrix as sm\n",
+    "import tidy3d.web as web\n",
     "import xarray as xr\n",
     "from tidy3d.plugins.dispersion import FastDispersionFitter\n",
     "from tidy3d.plugins.microwave import LobeMeasurer\n",
@@ -109,7 +110,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0ff597231bc14ff08b31afa07c4ff20a",
+       "model_id": "67dddc60a44c45fd84cead926f3b694b",
        "version_major": 2,
        "version_minor": 0
       },
@@ -461,7 +462,6 @@
     "    ports=[LP1],\n",
     "    radiation_monitors=[mon_radiation],\n",
     "    freqs=freqs,\n",
-    "    verbose=True,\n",
     "    remove_dc_component=False,  # Set to False when sim is broadband and includes low frequencies (<1 GHz)\n",
     ")"
    ]
@@ -492,7 +492,7 @@
      "data": {
       "text/html": [
        "\n",
-       "    
\n",
+       "    
\n",
        "    \n",
-       "    "
-      ],
-      "text/plain": [
-       ""
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# load the base simulation (no grating coupler)\n",
-    "sim_base = td.Simulation.from_file(SIM_BASE_FILE)\n",
-    "\n",
-    "sim_base.plot_3d()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The `gds` file stores our starting device, which was obtained from the grating coupler inverse design [notebook](https://docs.flexcompute.com/projects/tidy3d/en/latest/notebooks/AdjointPlugin6GratingCoupler.html) with no extra fabrication penalty included.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       ""
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import prefab as pf\n",
-    "\n",
-    "device = pf.read.from_gds(gds_path=GDS_FILE, cell_name=GDS_CELL_START)\n",
-    "device.plot()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can combine the base simulation and the device design with the following function, which takes a `device` array, constructs a `td.Structure` and adds it to a copy of the base `Simulation`.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def make_simulation(device: np.ndarray) -> td.Simulation:\n",
-    "    \"\"\"Add a grating coupler from a given device array.\"\"\"\n",
-    "\n",
-    "    # grab some material and geometric parameters from the base simulation and waveguide\n",
-    "    waveguide = sim_base.structures[0]\n",
-    "    eps_min = sim_base.medium.permittivity\n",
-    "    eps_max = waveguide.medium.permittivity\n",
-    "    w_thick = waveguide.geometry.size[2]\n",
-    "\n",
-    "    # construct the grating coupler out of the parameters\n",
-    "    eps_values = eps_min + (eps_max - eps_min) * device\n",
-    "    dev_width = device.shape[1] / 1000\n",
-    "    dev_height = device.shape[0] / 1000\n",
-    "    Nx, Ny = eps_values.shape\n",
-    "    X = np.linspace(-dev_width / 2, dev_width / 2, Nx)\n",
-    "    Y = np.linspace(-dev_height / 2, dev_height / 2, Ny)\n",
-    "    Z = np.array([0])\n",
-    "    eps_array = td.SpatialDataArray(np.expand_dims(eps_values, axis=-1), coords=dict(x=X, y=Y, z=Z))\n",
-    "    gc = td.Structure(\n",
-    "        geometry=td.Box(center=(0, 0, 0), size=(td.inf, td.inf, w_thick)),\n",
-    "        medium=td.CustomMedium.from_eps_raw(eps_array),\n",
-    "    )\n",
-    "\n",
-    "    # return a copy of the base simulation with the grating coupler added (make sure it's added FIRST as it overwrites others)\n",
-    "    all_structures = [gc] + list(sim_base.structures)\n",
-    "\n",
-    "    return sim_base.updated_copy(structures=all_structures)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's test this function out and view our starting, un-corrected device.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sim = make_simulation(device.to_ndarray().squeeze(-1))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ax = sim.plot_eps(z=0, monitor_alpha=0.0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "> note: the orange box indicates a symmetry region.\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Apply PreFab models\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We're now ready to predict, correct, and anticipate the final outcome of the device using a model based on [Applied Nanotools'](https://www.appliednt.com/nanosoi-fabrication-service/) silicon photonics process. The prediction will take a few seconds to complete.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Prediction: 100%|\u001b[32m██████████████████████████████\u001b[0m| 100/100 [00:24<00:00,  4.09%/s]\u001b[32m\u001b[0m\n"
-     ]
-    }
-   ],
-   "source": [
-    "MODEL_NAME = \"ANT_NanoSOI_ANF1_d10\"\n",
-    "\n",
-    "prediction = device.predict(model=pf.models[MODEL_NAME], binarize=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Correction: 100%|\u001b[32m██████████████████████████████\u001b[0m| 100/100 [00:17<00:00,  5.69%/s]\u001b[32m\u001b[0m\n",
-      "Prediction: 100%|\u001b[32m██████████████████████████████\u001b[0m| 100/100 [00:19<00:00,  5.08%/s]\u001b[32m\u001b[0m\n"
-     ]
-    }
-   ],
-   "source": [
-    "correction = device.correct(model=pf.models[MODEL_NAME], binarize=True)\n",
-    "outcome = correction.predict(model=pf.models[MODEL_NAME], binarize=False)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now we plot the predictions and corrections. Upon a closer look at the device's variations, we see several fuzzy areas around the edges of the prediction. These fuzzy spots represent areas of uncertainty in the design and the expected variance on the chip, especially in smaller, complex features. The prediction also shows many rounded corners, bridged gaps, and filled holes, indicating further changes during fabrication.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "xs, ys, zoom_size = 2000, 1300, 1000\n",
-    "zoom_bounds = ((xs, ys), (xs + zoom_size, ys + zoom_size))\n",
-    "titles = [\"Device\", \"Prediction\", \"Correction\", \"Outcome\"]\n",
-    "fig, axs = plt.subplots(2, 4, figsize=(20, 10))\n",
-    "for i, (title, data) in enumerate(zip(titles, [device, prediction, correction, outcome])):\n",
-    "    data.plot(ax=axs[0, i])\n",
-    "    axs[0, i].set_title(title)\n",
-    "    data.plot(bounds=zoom_bounds, ax=axs[1, i])\n",
-    "    axs[1, i].set_title(title + \" Zoomed\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Below, the images provide a visualization of prediction binarizations at different levels of uncertainty. Notably, binarization at a 50% threshold has the highest probability of occurrence, with the probability decreasing as the threshold moves towards 0% or 100%. By thresholding the raw prediction output, we can see the various potential variations in the design. **The magenta contour overlaid on these images serves as a reference to the original design.**\n",
-    "\n",
-    "While we can mitigate this uncertainty somewhat by applying corrections to create larger features, some uncertainty will inevitably remain. In this case, the prediction of the correction (outcome) shows a near-complete restoration, which is quite promising.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "xs, ys, zoom_size = 2000, 1300, 1000\n",
-    "zoom_bounds = ((xs, ys), (xs + zoom_size, ys + zoom_size))\n",
-    "fig, axs = plt.subplots(2, 4, figsize=(20, 10))\n",
-    "for i, eta in enumerate([None, 0.5, 0.3, 0.7]):\n",
-    "    if eta is None:\n",
-    "        axs[0, i].set_title(\"Raw Prediction\")\n",
-    "        axs[1, i].set_title(\"Raw Outcome\")\n",
-    "        prediction.plot(bounds=zoom_bounds, ax=axs[0, i])\n",
-    "        device.plot_contour(\n",
-    "            bounds=zoom_bounds,\n",
-    "            ax=axs[0, i],\n",
-    "            linewidth=16,\n",
-    "        )\n",
-    "        outcome.plot(bounds=zoom_bounds, ax=axs[1, i])\n",
-    "        device.plot_contour(\n",
-    "            bounds=zoom_bounds,\n",
-    "            ax=axs[1, i],\n",
-    "            linewidth=16,\n",
-    "        )\n",
-    "    else:\n",
-    "        axs[0, i].set_title(f\"Binarized Prediction ({int(eta * 1000)}% Threshold)\")\n",
-    "        axs[1, i].set_title(f\"Binarized Outcome ({int(eta * 100)}% Threshold)\")\n",
-    "        prediction.binarize_hard(eta=eta).plot(bounds=zoom_bounds, ax=axs[0, i])\n",
-    "        device.binarize_hard(eta=eta).plot_contour(\n",
-    "            bounds=zoom_bounds,\n",
-    "            ax=axs[0, i],\n",
-    "            linewidth=16,\n",
-    "        )\n",
-    "        outcome.binarize_hard(eta=eta).plot(bounds=zoom_bounds, ax=axs[1, i])\n",
-    "        device.binarize_hard(eta=eta).plot_contour(\n",
-    "            bounds=zoom_bounds,\n",
-    "            ax=axs[1, i],\n",
-    "            linewidth=16,\n",
-    "        )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Test PreFab predictions in simulation\n",
-    "\n",
-    "Next, we will prepare the device variations for re-simulation. To understand the stochastic, or random, variations from one device to another, we will simulate the predictions at different binarization thresholds. This is somewhat akin to uniform erosion and dilation tests, but it is data-driven and varies depending on the feature. Consequently, we will observe less variance for larger features and more variance for smaller ones.\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Next, we write a function to simulate a set of devices in parallel using `tidy3d.web.Batch`, which we'll use to analyze the performance over various threshold values.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def run_simulations(devices: list[np.ndarray], task_names: list[str]) -> td.web.BatchData:\n",
-    "    \"\"\"Construct and run a set of simulations in a batch.\"\"\"\n",
-    "    sims = {\n",
-    "        task_name: make_simulation(device.to_ndarray().squeeze(-1))\n",
-    "        for device, task_name in zip(devices, task_names)\n",
-    "    }\n",
-    "    batch = web.Batch(simulations=sims)\n",
-    "    return batch.run(path_dir=\"data\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "etas = list(np.arange(0.2, 0.9, 0.1))\n",
-    "\n",
-    "task_names = []\n",
-    "devices = []\n",
-    "\n",
-    "# dev simulation\n",
-    "task_names.append(\"inv_des_gc_dev\")\n",
-    "devices.append(device)\n",
-    "\n",
-    "# predictions simulations (vs eta)\n",
-    "for eta in etas:\n",
-    "    task_names.append(f\"inv_des_gc_pred_bin{int(eta * 100)}\")\n",
-    "    device_prediction = prediction.binarize_hard(eta=eta)\n",
-    "    devices.append(device_prediction)\n",
-    "\n",
-    "# outcome simulations (vs eta)\n",
-    "for eta in etas:\n",
-    "    task_names.append(f\"inv_des_gc_out_bin{int(eta * 100)}\")\n",
-    "    device_outcome = outcome.binarize_hard(eta=eta)\n",
-    "    devices.append(device_outcome)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "48d588f132f34dfcb94edfa0b3b8dd12",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
08:37:52 CEST Started working on Batch containing 15 tasks.                     \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m08:37:52 CEST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m15\u001b[0m tasks.                     \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
08:39:40 CEST Maximum FlexCredit cost: 2.890 for the whole batch.               \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m08:39:40 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m2.890\u001b[0m for the whole batch.               \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
              Use 'Batch.real_cost()' to get the billed FlexCredit cost after   \n",
-       "              the Batch has completed.                                          \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after   \n",
-       "\u001b[2;36m              \u001b[0mthe Batch has completed.                                          \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "250f03ca937c48409805d039549e1374",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
08:39:53 CEST Batch complete.                                                   \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m08:39:53 CEST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                   \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4dcc044e178b4291b16ac21d28a768ab",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "batch_data = run_simulations(devices=devices, task_names=task_names)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
08:43:50 CEST WARNING: Warning messages were found in the solver log. For more  \n",
-       "              information, check 'SimulationData.log' or use                    \n",
-       "              'web.download_log(task_id)'.                                      \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m08:43:50 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Warning messages were found in the solver log. For more  \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                    \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[31m.                                      \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
08:43:53 CEST WARNING: Warning messages were found in the solver log. For more  \n",
-       "              information, check 'SimulationData.log' or use                    \n",
-       "              'web.download_log(task_id)'.                                      \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m08:43:53 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Warning messages were found in the solver log. For more  \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                    \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[31m.                                      \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
08:43:55 CEST WARNING: Warning messages were found in the solver log. For more  \n",
-       "              information, check 'SimulationData.log' or use                    \n",
-       "              'web.download_log(task_id)'.                                      \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m08:43:55 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Warning messages were found in the solver log. For more  \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                    \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[31m.                                      \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
08:43:58 CEST WARNING: Warning messages were found in the solver log. For more  \n",
-       "              information, check 'SimulationData.log' or use                    \n",
-       "              'web.download_log(task_id)'.                                      \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m08:43:58 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Warning messages were found in the solver log. For more  \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                    \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[31m.                                      \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
08:44:00 CEST WARNING: Warning messages were found in the solver log. For more  \n",
-       "              information, check 'SimulationData.log' or use                    \n",
-       "              'web.download_log(task_id)'.                                      \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m08:44:00 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Warning messages were found in the solver log. For more  \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                    \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[31m.                                      \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
08:44:03 CEST WARNING: Warning messages were found in the solver log. For more  \n",
-       "              information, check 'SimulationData.log' or use                    \n",
-       "              'web.download_log(task_id)'.                                      \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m08:44:03 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Warning messages were found in the solver log. For more  \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                    \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[31m.                                      \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
08:44:05 CEST WARNING: Warning messages were found in the solver log. For more  \n",
-       "              information, check 'SimulationData.log' or use                    \n",
-       "              'web.download_log(task_id)'.                                      \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m08:44:05 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Warning messages were found in the solver log. For more  \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                    \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[31m.                                      \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
08:44:08 CEST WARNING: Warning messages were found in the solver log. For more  \n",
-       "              information, check 'SimulationData.log' or use                    \n",
-       "              'web.download_log(task_id)'.                                      \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m08:44:08 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Warning messages were found in the solver log. For more  \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                    \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[31m.                                      \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
08:44:10 CEST WARNING: Warning messages were found in the solver log. For more  \n",
-       "              information, check 'SimulationData.log' or use                    \n",
-       "              'web.download_log(task_id)'.                                      \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m08:44:10 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Warning messages were found in the solver log. For more  \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                    \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[31m.                                      \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
08:44:13 CEST WARNING: Warning messages were found in the solver log. For more  \n",
-       "              information, check 'SimulationData.log' or use                    \n",
-       "              'web.download_log(task_id)'.                                      \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m08:44:13 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Warning messages were found in the solver log. For more  \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                    \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[31m.                                      \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
08:44:16 CEST WARNING: Warning messages were found in the solver log. For more  \n",
-       "              information, check 'SimulationData.log' or use                    \n",
-       "              'web.download_log(task_id)'.                                      \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m08:44:16 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Warning messages were found in the solver log. For more  \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                    \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[31m.                                      \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
08:44:18 CEST WARNING: Warning messages were found in the solver log. For more  \n",
-       "              information, check 'SimulationData.log' or use                    \n",
-       "              'web.download_log(task_id)'.                                      \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m08:44:18 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Warning messages were found in the solver log. For more  \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                    \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[31m.                                      \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
08:44:21 CEST WARNING: Warning messages were found in the solver log. For more  \n",
-       "              information, check 'SimulationData.log' or use                    \n",
-       "              'web.download_log(task_id)'.                                      \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m08:44:21 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Warning messages were found in the solver log. For more  \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                    \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[31m.                                      \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
08:44:23 CEST WARNING: Warning messages were found in the solver log. For more  \n",
-       "              information, check 'SimulationData.log' or use                    \n",
-       "              'web.download_log(task_id)'.                                      \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m08:44:23 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Warning messages were found in the solver log. For more  \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                    \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[31m.                                      \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
08:44:26 CEST WARNING: Warning messages were found in the solver log. For more  \n",
-       "              information, check 'SimulationData.log' or use                    \n",
-       "              'web.download_log(task_id)'.                                      \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m08:44:26 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Warning messages were found in the solver log. For more  \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                    \u001b[0m\n",
-       "\u001b[2;36m              \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[31m.                                      \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# extract the various sim_data from the batch data output\n",
-    "sim_data_dev = batch_data[\"inv_des_gc_dev\"]\n",
-    "sim_data_pred = {eta: batch_data[f\"inv_des_gc_pred_bin{int(eta * 100)}\"] for eta in etas}\n",
-    "sim_data_out = {eta: batch_data[f\"inv_des_gc_out_bin{int(eta * 100)}\"] for eta in etas}"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "def calculate_loss(sim_data_dict: dict) -> dict:\n",
-    "    \"\"\"Extract the loss (dB) from the simulation data results.\"\"\"\n",
-    "    loss_db_dict = {}\n",
-    "    for eta, sim_data in sim_data_dict.items():\n",
-    "        mode_amps = sim_data[\"gc_efficiency\"]\n",
-    "        coeffs_f = mode_amps.amps.sel(direction=\"-\")\n",
-    "        power_0 = np.abs(coeffs_f.sel(mode_index=0)) ** 2\n",
-    "        power_0_db = 10 * np.log10(power_0)\n",
-    "        loss_db = max(power_0_db)\n",
-    "        loss_db_dict[eta] = loss_db\n",
-    "    return loss_db_dict\n",
-    "\n",
-    "\n",
-    "loss_db_dev = calculate_loss({0.5: sim_data_dev})\n",
-    "loss_db_pred = calculate_loss(sim_data_pred)\n",
-    "loss_db_out = calculate_loss(sim_data_out)\n",
-    "\n",
-    "etas = list(loss_db_pred.keys())\n",
-    "etas_dev = [0.5]\n",
-    "losses_pred = [loss_db_pred[eta] for eta in etas]\n",
-    "losses_out = [loss_db_out[eta] for eta in etas]\n",
-    "losses_dev = [loss_db_dev[0.5]]\n",
-    "losses_orig = [-2.30]\n",
-    "\n",
-    "plt.figure(figsize=(10, 6))\n",
-    "plt.plot(0.5, losses_orig[0], \"r*\", label=\"Nominal (Constrained)\", markersize=20)\n",
-    "plt.plot(etas_dev, losses_dev, \"*\", label=\"Nominal (Unconstrained)\", markersize=20)\n",
-    "plt.plot(etas, losses_pred, \"s-\", label=\"Prediction (Unconstrained) Without Correction\")\n",
-    "plt.plot(etas, losses_out, \"^-\", label=\"Prediction (Unconstrained) With Correction\")\n",
-    "plt.xlabel(\"Prediction Binarization Threshold (0.5 is most likely)\")\n",
-    "plt.ylabel(\"Loss (dB)\")\n",
-    "plt.title(\"Predicted Variance of Grating Coupler Loss\")\n",
-    "plt.legend()\n",
-    "plt.grid(True)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The optimization process without constraints has significantly enhanced performance, achieving a lower loss of -1.85 dB compared to the -2.30 dB observed in the previous notebook. However, when considering predicted variations, the performance of this new design slightly deteriorates to -2.34 dB. Nevertheless, by applying specific corrections, we demonstrate that the anticipated chip-level performance can be restored back to -1.85 dB. Through the adjustment of the binarization threshold within the uncertainty range of the predictions, we are able to assess the expected variance between devices. This not only underscores the substantial advantages of PreFab correction but also deepens our comprehension of the fabrication process's capabilities.\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Use the following code block to export your predictions and corrections. This will write the refined design into a new cell in the original GDS file located in `misc/`.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import gdstk\n",
-    "\n",
-    "gds_library = gdstk.read_gds(infile=GDS_FILE)\n",
-    "\n",
-    "device_cell = device.to_gdstk(cell_name=\"gc_device\", gds_layer=(1, 0))\n",
-    "prediction_cell = prediction.binarize().to_gdstk(cell_name=\"gc_prediction\", gds_layer=(9, 0))\n",
-    "correction_cell = correction.to_gdstk(\n",
-    "    cell_name=\"gc_correction\", gds_layer=(90, 0), contour_approx_mode=3\n",
-    ")\n",
-    "outcome_cell = outcome.binarize().to_gdstk(cell_name=\"gc_outcome\", gds_layer=(800, 0))\n",
-    "\n",
-    "gc_cell = gds_library.new_cell(GDS_CELL_FINAL)\n",
-    "gds_library.add(prediction_cell)\n",
-    "gds_library.add(correction_cell)\n",
-    "gds_library.add(outcome_cell)\n",
-    "gds_library.add(device_cell)\n",
-    "origin = (-prediction.shape[1] / 2 / 1000, -prediction.shape[0] / 2 / 1000)\n",
-    "gds_library[GDS_CELL_FINAL].add(gdstk.Reference(cell=device_cell, origin=origin))\n",
-    "gds_library[GDS_CELL_FINAL].add(gdstk.Reference(cell=prediction_cell, origin=origin))\n",
-    "gds_library[GDS_CELL_FINAL].add(gdstk.Reference(cell=correction_cell, origin=origin))\n",
-    "gds_library[GDS_CELL_FINAL].add(gdstk.Reference(cell=outcome_cell, origin=origin))\n",
-    "gds_library.write_gds(outfile=GDS_FILE, max_points=8190)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "If you're interested in learning more about PreFab, please visit the [website](https://www.prefabphotonics.com/) and [GitHub page](https://github.com/PreFab-Photonics). There, you'll find more resources and examples to help you get the most out of the tools.\n"
-   ]
-  }
- ],
- "metadata": {
-  "description": "This notebook demonstrates the inverse design of a compact 3D grating coupler with machine learning-based fabrication constraints.",
-  "feature_image": "",
-  "kernelspec": {
-   "display_name": ".venv",
-   "language": "python",
-   "name": "python3"
-  },
-  "keywords": "inverse design, grating coupler, photonic integrated circuits, machine learning, design optimization, adjoint, Tidy3D, FDTD",
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.12.3"
-  },
-  "nbdime-conflicts": {
-   "local_diff": [
-    {
-     "diff": [
-      {
-       "diff": [
-        {
-         "diff": [
-          {
-           "key": 5,
-           "op": "addrange",
-           "valuelist": "9"
-          },
-          {
-           "key": 5,
-           "length": 1,
-           "op": "removerange"
-          }
-         ],
-         "key": 0,
-         "op": "patch"
-        }
-       ],
-       "key": "version",
-       "op": "patch"
-      }
-     ],
-     "key": "language_info",
-     "op": "patch"
-    }
-   ],
-   "remote_diff": [
-    {
-     "diff": [
-      {
-       "diff": [
-        {
-         "diff": [
-          {
-           "key": 5,
-           "op": "addrange",
-           "valuelist": "12"
-          },
-          {
-           "key": 5,
-           "length": 1,
-           "op": "removerange"
-          }
-         ],
-         "key": 0,
-         "op": "patch"
-        }
-       ],
-       "key": "version",
-       "op": "patch"
-      }
-     ],
-     "key": "language_info",
-     "op": "patch"
-    }
-   ]
-  },
-  "title": "Machine learning-based fabrication constraints for inverse design using PreFab | Flexcompute",
-  "widgets": {
-   "application/vnd.jupyter.widget-state+json": {
-    "state": {
-     "066ae3cd7b2843d6ac0977f73d1373ff": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "1377d3a4074543dc8772ada613a50024": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_6bf536a19d7241258dd64a0053933ea1",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🏃  Finishing 'inv_des_final'...\n
\n",
-          "text/plain": "\u001b[32m🏃 \u001b[0m \u001b[1;32mFinishing 'inv_des_final'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "2ee47e11bd644b928d4e1958161923bb": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_91395efbed0d4032b01f7d69e8722e11",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ simulation.hdf5.gz ━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 77.0/77.0 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m77.0/77.0 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "509db80a6caf47edb14635ddd1380a94": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "699ec8475ab7423c9745a72caefeecde": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_d0b35e0ff7244f9bad5f047689ee6aef",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🚶  Starting 'inv_des_final'...\n
\n",
-          "text/plain": "\u001b[32m🚶 \u001b[0m \u001b[1;32mStarting 'inv_des_final'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "6bf536a19d7241258dd64a0053933ea1": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "7102600812d14200a8e80dc3bbb4b1b1": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_509db80a6caf47edb14635ddd1380a94",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
solver progress (field decay = 2.07e-04) ━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00\n
\n",
-          "text/plain": "solver progress (field decay = 2.07e-04) \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "91395efbed0d4032b01f7d69e8722e11": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "c2f0576e0ecd418eb80b2449d5c3a2e8": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_066ae3cd7b2843d6ac0977f73d1373ff",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━ 100.0% • 4.2/4.2 MB • 19.0 MB/s • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m4.2/4.2 MB\u001b[0m • \u001b[31m19.0 MB/s\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "d0b35e0ff7244f9bad5f047689ee6aef": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     }
-    },
-    "version_major": 2,
-    "version_minor": 0
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/AdjointPlugin1Intro.ipynb b/AdjointPlugin1Intro.ipynb
deleted file mode 100644
index 33c34cee..00000000
--- a/AdjointPlugin1Intro.ipynb
+++ /dev/null
@@ -1,2588 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "0dff81f1-150e-4132-a41f-7d5b32dbae1d",
-   "metadata": {},
-   "source": [
-    "# Jax, automatic differentiation, and adjoint optimization: basics\n",
-    "\n",
-    "> Note: Tidy3D now supports automatic differentiation natively through `autograd`. The `jax`-based `adjoint` plugin will be deprecated from 2.7 onwards. To see this notebook implemented in the new feature, see [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd1Intro/).\n",
-    "\n",
-    "> To install the `jax` module required for this feature, we recommend running `pip install \"tidy3d[jax]\"`.\n",
-    "\n",
-    "## Introduction\n",
-    "\n",
-    "In this notebook, we will introduce the `adjoint` plugin of Tidy3D.\n",
-    "The `adjoint` plugin allows users to take derivatives of arbitrary functions involving Tidy3D simulations through the use of the \"adjoint method\".\n",
-    "The advantage of the adjoint method is that the gradients can be computed using only **two** FDTD simulations, independent of the number of parameters.\n",
-    "This makes it possible to do gradient-based optimization or sensitivity analysis of devices with enormous numbers of parameters with minimal computational overhead.\n",
-    "For more information on the technical details of the adjoint method and what it can be used for, we recommend these references (with links to their pre-print versions):\n",
-    "\n",
-    "* [Gradient-based \"inverse design\" optimization in photonics](https://arxiv.org/pdf/1801.06715.pdf).\n",
-    "\n",
-    "* [Adjoint method for electromagnetics](https://arxiv.org/abs/1908.10507)\n",
-    "\n",
-    "If you want to skip to some case studies of the `adjoint` plugin being used for some applications, see the\n",
-    "\n",
-    "\n",
-    "* [Quickstart Inverse Design Demo](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin0Quickstart/).\n",
-    "\n",
-    "* [Gradient Checking Notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin2GradientChecking/).\n",
-    "\n",
-    "* [Inverse Design Notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin3InverseDesign/).\n",
-    "\n",
-    "* [Multi-Objective Gradient Notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin4MultiObjective/).\n",
-    "\n",
-    "* [Boundary Gradients Notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin5BoundaryGradients/).\n",
-    "\n",
-    "* [Grating Coupler Notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin6GratingCoupler/).\n",
-    "\n",
-    "* [Metalens Notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin7Metalens/).\n",
-    "\n",
-    "\n",
-    "### Function differentiation\n",
-    "\n",
-    "The adjoint package enables users to take derivatives of functions that involve a Tidy3D simulation. For a bit of context, let's first talk about what we mean when we talk about differentiating functions in our programs.\n",
-    "Say in our program we have programmatically defined a function of one variable $f(x)$. For example:\n",
-    "```py\n",
-    "def f(x):\n",
-    "   return x**2\n",
-    "```\n",
-    "\n",
-    "Now, we wish to evaluate $\\frac{df(x)}{dx}$.\n",
-    "\n",
-    "If we know $\\frac{df}{dx}$ analytically, this is just a matter of writing a new function to compute this derivative, for example:\n",
-    "\n",
-    "```py\n",
-    "def df(x):\n",
-    "    return 2*x\n",
-    "```\n",
-    "However, many of the more interesting and complex functions tend to compose several sub-functions together, for example\n",
-    "$$f(x) = h(y) = h(g(x))$$\n",
-    "might be written in a program as\n",
-    "\n",
-    "```py\n",
-    "def f(x):\n",
-    "    y = x**2\n",
-    "    return 5 * y - y**3\n",
-    "```\n",
-    "\n",
-    "As one can imagine, defining the derivative by hand can quickly become too daunting of a task as the complexity grows.\n",
-    "\n",
-    "However, we can simplify things greatly with knowledge of the derivatives of the simpler functions that make up $f$.\n",
-    "Following the chain rule, we can write the derivative of $f$ above as\n",
-    "$$\\frac{df}{dx}=\\frac{dh}{dy}\\frac{dg}{dx}(x)$$\n",
-    "\n",
-    "Thus, if we know the derivatives of the composite functions $h$ and $g$, we can construct the derivative of $f$ by multiplying all of the derivatives of the composite functions.\n",
-    "This idea is straightforwardly generalized to functions of several inputs and outputs, and even functions that can be written more generally as a more complex \"computational graph\" rather than a sequence of operations.\n",
-    "\n",
-    "### Automatic differentiation\n",
-    "\n",
-    "The idea of a technique called \"automatic differentiation\" is to provide a way to compute these derivatives of composite functions in programming languages both efficiently and without the user needing to define anything by hand.\n",
-    "\n",
-    "Automatic differentiation works by defining \"derivative rules\" for each fundamental operation that the user might incorporate in his or her function. For example, derivative rules for `h` and `g`, in the example above may be used to help define the derivative for `f`. When the function is evaluated, all of the derivative information corresponding to each operation in the function are stitched together using the chain rule to construct a derivative for the entire function. Thus, functions of arbitrary complexity can be differentiated without deriving anything beyond just the derivative rules for the most basic operations contained within.\n",
-    "\n",
-    "This capability is provided by many programming packages, but we chose to utilize one from the [\"jax\"](https://jax.readthedocs.io/en/latest/) package as it provides the flexibility and extendibility we needed for integrating this functionality into Tidy3D.\n",
-    "\n",
-    "Using `jax`, we may write a function $f$ using most of the fundamental operations in python and `numpy`. In `jax` both the operations and their derivatives are tracked when the function is called. Thus, `jax` gives the option to apply `jax.grad` to this function, which uses all of the derivative information and the chain rule to construct a new function that gives the derivative of the function with respect to its input arguments.\n",
-    "\n",
-    "This brings us back to the `adjoint` plugin. The point of the `adjoint` plugin is to extend `jax`'s automatic differentiation capability to allow it to track functions **that involve Tidy3D simulations** in their computational graph. In essence, we provide the \"derivative\" of the `tidy3d.web.run()` function, using the adjoint method, to tell jax how to differentiate functions that might involve both the setting up and postprocessing of a tidy3d simulation and its data. The end result is a framework where users can set up modeling and optimizations and utilize jax automatic differentiation for optimization and sensitivity analysis efficiently and without needing to derive a single derivative rule.\n",
-    "\n",
-    "In his notebook, we will give an overview of how `jax` works for beginners and provide simple example of the plugin. More complex case studies and examples will be provided in other notebooks, linked here:\n",
-    "\n",
-    "\n",
-    "* [Gradient Checking Notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin2GradientChecking/).\n",
-    "\n",
-    "* [Inverse Design Notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin3InverseDesign/).\n",
-    "\n",
-    "* [Multi-Objective Gradient Notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin4MultiObjective/).\n",
-    "\n",
-    "* [Boundary Gradients Notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin5BoundaryGradients/).\n",
-    "\n",
-    "* [Grating Coupler Notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin6GratingCoupler/).\n",
-    "\n",
-    "* [Metalens Notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin7Metalens/).\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "87d26e12-3c03-432d-9cf4-61f0b03a8608",
-   "metadata": {},
-   "source": [
-    "## Automatic Differentiation using `jax`\n",
-    "\n",
-    "Before jumping into any Tidy3D simulations, we will give a bit of a primer on using jax for automatic differentiation. For more details, we highly recommend checking out jax's [tutorial on the subject](https://jax.readthedocs.io/en/latest/notebooks/autodiff_cookbook.html), as we'll be covering a lot of the same topics but in less depth.\n",
-    "\n",
-    "First, we will import `jax` and its `numpy` wrapper, which provides most of the same functionality, but allows derivative tracking.\n",
-    "\n",
-    "Tip 1: if you run into an obscure error using `jax`, the first thing to check is whether you're using the `jax.numpy` wrapper instead of regular `numpy` in your function, as otherwise you will get errors from `jax` that are not super clear."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "d1ce429f-3183-4f7f-8b16-dda847239742",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:06:44.182840Z",
-     "iopub.status.busy": "2023-08-17T23:06:44.182571Z",
-     "iopub.status.idle": "2023-08-17T23:06:45.262890Z",
-     "shell.execute_reply": "2023-08-17T23:06:45.262309Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "import jax\n",
-    "import jax.numpy as jnp\n",
-    "import matplotlib.pylab as plt"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b5d017ba-6dc9-4cc0-b226-2b3c3438e0d5",
-   "metadata": {},
-   "source": [
-    "Say we have a function $f$ that performs several operations on a single variable.\n",
-    "\n",
-    "We can define this function `f` in python and also derive its derivative for this simple case, which we write as a function `df`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "c501ff19-8e46-4aaf-86dd-89a97732dfa0",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:06:45.265535Z",
-     "iopub.status.busy": "2023-08-17T23:06:45.265339Z",
-     "iopub.status.idle": "2023-08-17T23:06:45.277891Z",
-     "shell.execute_reply": "2023-08-17T23:06:45.277292Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "def f(x):\n",
-    "    return 5 * jnp.sin(x) - x**2 + x\n",
-    "\n",
-    "\n",
-    "def df(x):\n",
-    "    return 5 * jnp.cos(x) - 2 * x + 1"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "434d1841-45e5-48a3-986c-56e630badd2d",
-   "metadata": {},
-   "source": [
-    "Let's evaluate these functions at several points and plot them."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "237ede5f-0a7d-45cf-927b-dcb2a9b57d9c",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:06:45.280148Z",
-     "iopub.status.busy": "2023-08-17T23:06:45.279974Z",
-     "iopub.status.idle": "2023-08-17T23:06:46.023332Z",
-     "shell.execute_reply": "2023-08-17T23:06:46.022669Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "No GPU/TPU found, falling back to CPU. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "xs = jnp.linspace(-1, 3, 1001)\n",
-    "plt.plot(xs, f(xs), label=\"f(x)\")\n",
-    "plt.plot(xs, df(xs), label=\"df/dx(x)\")\n",
-    "plt.xlabel(\"x\")\n",
-    "plt.legend()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3e9915a8-59e9-4209-bf29-bd21dcda84a3",
-   "metadata": {},
-   "source": [
-    "Now let's use jax to compute the derivative for us and see how it compares to our analytical derivative.\n",
-    "\n",
-    "We first call `jax.grad(f)`, which returns a new function that can be evaluated at `x` to give the derivative `df/dx(x)`.\n",
-    "\n",
-    "For more details on `jax.grad` and the various other inputs it can take, refer to its documentation [here](https://jax.readthedocs.io/en/latest/_autosummary/jax.grad.html)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "f846ded9-26ac-4778-b637-56768b07dd6e",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:06:46.025865Z",
-     "iopub.status.busy": "2023-08-17T23:06:46.025693Z",
-     "iopub.status.idle": "2023-08-17T23:06:46.497467Z",
-     "shell.execute_reply": "2023-08-17T23:06:46.496908Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# get the gradient as a function of x\n",
-    "df_jax = jax.grad(f)\n",
-    "\n",
-    "# get a set of points to feed the derivative function one by one (for now)\n",
-    "xs_jax = jnp.linspace(-1, 3, 21)\n",
-    "df_jax_eval = [df_jax(x) for x in xs_jax]\n",
-    "\n",
-    "plt.plot(xs, f(xs), label=\"f(x)\")\n",
-    "plt.plot(xs, df(xs), label=\"df/dx(x) [analytical]\")\n",
-    "plt.plot(xs_jax, df_jax_eval, \"k.\", label=\"df/dx(x) [using jax]\")\n",
-    "plt.xlabel(\"x\")\n",
-    "plt.legend()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "be79405a-621a-4170-9799-ef65efc68335",
-   "metadata": {},
-   "source": [
-    "Note: `jax` provides several other useful gradient wrappers, which can be used in different contexts. \n",
-    "\n",
-    "For example [jax.value_and_grad](https://jax.readthedocs.io/en/latest/_autosummary/jax.value_and_grad.html) returns both the function return value and the gradient value, which is useful to avoid repetitive computation if you need the value as the `jax.grad` call must evaluate `f`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "9d26f7d1-124b-4e0d-9f34-75cbf4030ad9",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:06:46.499610Z",
-     "iopub.status.busy": "2023-08-17T23:06:46.499433Z",
-     "iopub.status.idle": "2023-08-17T23:06:46.765046Z",
-     "shell.execute_reply": "2023-08-17T23:06:46.764493Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "f_and_df = jax.value_and_grad(f)\n",
-    "vals_and_grads = [f_and_df(x) for x in xs_jax]\n",
-    "fs, dfs = list(zip(*vals_and_grads))\n",
-    "\n",
-    "plt.plot(xs_jax, fs, label=\"f(x)\")\n",
-    "plt.plot(xs, df(xs), label=\"df/dx(x) [analytical]\")\n",
-    "plt.plot(xs_jax, df_jax_eval, \"k.\", label=\"df/dx(x) [using jax]\")\n",
-    "plt.xlabel(\"x\")\n",
-    "plt.legend()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a727c6f0-b26a-4b3e-9582-148098f136ec",
-   "metadata": {},
-   "source": [
-    "We can also take an elementwise gradient using [jax.vmap](https://jax.readthedocs.io/en/latest/_autosummary/jax.vmap.html), which vectorizes our gradient function."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "9abb7392-9e0c-4cd6-8fd3-6ce78f563fce",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:06:46.768237Z",
-     "iopub.status.busy": "2023-08-17T23:06:46.767494Z",
-     "iopub.status.idle": "2023-08-17T23:06:47.071598Z",
-     "shell.execute_reply": "2023-08-17T23:06:47.071035Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "df_jax_vectorized = jax.vmap(jax.grad(f))\n",
-    "\n",
-    "# get a set of points to feed the derivative function one by one (for now)\n",
-    "df_jax_eval = df_jax_vectorized(xs)\n",
-    "\n",
-    "plt.plot(xs, f(xs), label=\"f(x)\")\n",
-    "plt.plot(xs, df(xs), label=\"df/dx(x) [analytical]\")\n",
-    "plt.plot(xs, df_jax_eval, \"k-.\", label=\"df/dx(x) [using jax]\")\n",
-    "plt.xlabel(\"x\")\n",
-    "plt.legend()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "18a7936e-9919-4ace-85bf-d8c14d124649",
-   "metadata": {},
-   "source": [
-    "Before we continue, there are a few things to watch out for when using jax for gradient calculation:\n",
-    "\n",
-    "1.  `jax.grad` outputs doesn't automatically convert input arguments from `int` to `float`, so avoid passing `int` types to your functions."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "d648c131-b674-49a7-b441-ca6569e6540d",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:06:47.073751Z",
-     "iopub.status.busy": "2023-08-17T23:06:47.073574Z",
-     "iopub.status.idle": "2023-08-17T23:06:47.225991Z",
-     "shell.execute_reply": "2023-08-17T23:06:47.225307Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1.7015114\n",
-      "TypeError('grad requires real- or complex-valued inputs (input dtype that is a sub-dtype of np.inexact), but got int32. If you want to use Boolean- or integer-valued inputs, use vjp or set allow_int to True.')\n"
-     ]
-    }
-   ],
-   "source": [
-    "# ok\n",
-    "print(df_jax(1.0))\n",
-    "\n",
-    "# errors\n",
-    "try:\n",
-    "    df_jax(1)\n",
-    "except TypeError as e:\n",
-    "    print(repr(e))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "003ef198-e0a2-495f-844e-adeff0563c1d",
-   "metadata": {},
-   "source": [
-    "2. When differentiating with respect to several arguments, you need to tell `jax.grad` which arguments you want to take the derivative with respect to as a tuple in indices. Otherwise it will take the derivative with respect to only the first argument."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "b42164ce-41df-4bb2-8e23-eb11b2a45547",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:06:47.228297Z",
-     "iopub.status.busy": "2023-08-17T23:06:47.228085Z",
-     "iopub.status.idle": "2023-08-17T23:06:47.350710Z",
-     "shell.execute_reply": "2023-08-17T23:06:47.350178Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "dgdx=1.0\n",
-      "dgdx=1.0, dgdy=1.0, dgdz=2.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "def g(x, y, z):\n",
-    "    return x * y + z**2\n",
-    "\n",
-    "\n",
-    "# only gives dg/dx\n",
-    "dg = jax.grad(g)\n",
-    "dgdx = dg(1.0, 1.0, 1.0)\n",
-    "print(f\"dgdx={dgdx}\")\n",
-    "\n",
-    "# gives derivative w.r.t. all three args\n",
-    "dg_all = jax.grad(g, argnums=(0, 1, 2))\n",
-    "dgdx, dgdy, dgdz = dg_all(1.0, 1.0, 1.0)\n",
-    "print(f\"dgdx={dgdx}, dgdy={dgdy}, dgdz={dgdz}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "cbb36cd5-fef1-47d1-b25f-1fb7cc0d882b",
-   "metadata": {},
-   "source": [
-    "## Incorporating Automatic Differentiation in `Tidy3D`\n",
-    "\n",
-    "With that basic introduction to automatic differentiation using `jax`, we can now show how the `tidy3d.plugins.adjoint`lets us do the same thing but where our functions can now involve setting up, running, and postprocessing a `tidy3d.Simulation`.\n",
-    "\n",
-    "We'll need to import special `Jax` components from the adjoint plugin for this to work. These components are registered with `jax` so it knows how to handle them in its automatic differentiation pipeline.\n",
-    "\n",
-    "We'll also need to import a special `web.run()` wrapper from the plugin. This [tidy3d.plugins.adjoint.web.run](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.adjoint.web.run.html) function operates the same as `web.run()`, except its derivative rules are defined in the backend using the adjoint method. Thus, `jax` will know how to \"differentiate\" [tidy3d.plugins.adjoint.web.run](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.adjoint.web.run.html) and it can be used within a function that we want to take derivatives with respect to.\n",
-    "\n",
-    "\n",
-    "Here is a diagram showing how the input arguments of our function `f` are related to the `JaxSimulation` and how the `JaxSimulationData` output of `tidy3d.plugins.adjoint.web.run` is related to the return value of `f`. This diagram can be a useful reference when moving through this section.\n",
-    "\n",
-    "\"Diagram\n",
-    "\n",
-    "### Introducing `JaxSimulation`\n",
-    "\n",
-    "Now we will show how to set up a very simple function using the adjoint plugin and differentiate it.\n",
-    "\n",
-    "First, both our `Simulation` and some of its `.structures` may be dependent on the function arguments. Therefore, we need to use a special `Simulation` subclass called [JaxSimulation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.adjoint.JaxSimulation.html).\n",
-    "\n",
-    "[JaxSimulation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.adjoint.JaxSimulation.html) is just a `jax`-compatible stand in for `Simulation` and behaves almost entirely the same, except for a few important differences:\n",
-    "\n",
-    "1. it accepts an additional field `.input_structures`. These `input_structures` are tidy3d structures that can depend on the function arguments, and therefore need to be, `jax`-compatible, themselves. Thus, the structures used in this field must be of the `jax`-compatible type [JaxStructure](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.adjoint.JaxStructure.html), which itself contains a `.medium` field of type [JaxMedium](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.adjoint.JaxMedium.html) and a `.geometry` field that is of type [JaxBox](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.adjoint.JaxBox.html). The `center`, `size`, and `permittivity` fields of these components may all depend on the function input arguments and the final gradients of the function will be given with respect to the values these fields.\n",
-    "\n",
-    "> At the time of publishing, only `JaxStructures` with geometry of `JaxBox` are supported. However, the medium may contain [JaxMedium](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.adjoint.JaxMedium.html), [JaxAnisotropicMedium](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.adjoint.JaxAnisotropicMedium.html), or [JaxCustomMedium](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.adjoint.JaxCustomMedium.html). \n",
-    "\n",
-    "> Any extraneous `Structures` can be added to the `JaxSimulation.structures` as long as they don't depend on the function arguments. These structures will still influence the simulation result as normal, but are \"static\". \n",
-    "\n",
-    "> The `input_structures` are always assumed to be added *on top of* the existing `.structures`.\n",
-    "\n",
-    "2. it accepts another additional field `.output_monitors`, which define the set of monitors with corresponding data that the return value of our function will depend on. Note that at the time of writing, only `ModeMonitor` are supported.\n",
-    "\n",
-    "3. to convert a `JaxSimulation` to a `Simulation`, one may call `sim, info = JaxSimulation.to_simulation()` where the `sim` is the `Simulation` with all `structures` and `monitors` put together and `info` is just a special information container that is needed to reconstruct the `JaxSimulation` from `sim` using `JaxSimulation.from_simulation(sim, info)`.\n",
-    "\n",
-    "Let us now import these new `Jax` Tidy3d types and use them in an example."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "f304ea94-34df-4741-ab99-87003884eee7",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:06:47.353341Z",
-     "iopub.status.busy": "2023-08-17T23:06:47.353097Z",
-     "iopub.status.idle": "2023-08-17T23:06:49.246131Z",
-     "shell.execute_reply": "2023-08-17T23:06:49.245477Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "import tidy3d as td\n",
-    "from tidy3d.plugins.adjoint import JaxBox, JaxMedium, JaxSimulation, JaxStructure"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e54cc9fa-b5f2-4f62-b31e-3a0e1fa7acac",
-   "metadata": {},
-   "source": [
-    "### Simulation example\n",
-    "\n",
-    "In our example, we will set up a function that involves a simulation of transmission through a waveguide in the presence of a scatterer.\n",
-    "\n",
-    "This scatterer geometry and material properties will depend on the function input arguments.\n",
-    "\n",
-    "The output of the function will simply be the power transmitted into the 0th order mode.\n",
-    "\n",
-    "We will then take the gradient of the output of this function (power) with respect to the scatterer geometric and medium properties using `jax`.\n",
-    "\n",
-    "To start, it can often be helpful to break our function up into a few parts for debugging.\n",
-    "\n",
-    "Therefore, we will introduce one function to make the `JaxSimulation` given the input arguments and one function to postprocess the result."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "3cbe5188-a552-40db-a1e6-ddb4af0ead63",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:06:49.249003Z",
-     "iopub.status.busy": "2023-08-17T23:06:49.248691Z",
-     "iopub.status.idle": "2023-08-17T23:06:49.275338Z",
-     "shell.execute_reply": "2023-08-17T23:06:49.274709Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "def make_simulation(center: float, size: float, eps: float) -> JaxSimulation:\n",
-    "    \"\"\"Makes a simulation with a variable scatter width, height, and relative permittivity.\"\"\"\n",
-    "\n",
-    "    wavelength = 1.0\n",
-    "    freq0 = td.C_0 / wavelength\n",
-    "    dl = 0.02\n",
-    "\n",
-    "    # a \"static\" structure\n",
-    "    waveguide = td.Structure(\n",
-    "        geometry=td.Box(size=(td.inf, 0.3, 0.2)), medium=td.Medium(permittivity=2.0)\n",
-    "    )\n",
-    "\n",
-    "    # our \"forward\" source\n",
-    "    mode_src = td.ModeSource(\n",
-    "        size=(0, 1.5, 1.5),\n",
-    "        center=(-0.9, 0, 0),\n",
-    "        mode_index=0,\n",
-    "        source_time=td.GaussianPulse(freq0=freq0, fwidth=freq0 / 10),\n",
-    "        direction=\"+\",\n",
-    "    )\n",
-    "\n",
-    "    # a monitor to store data that our overall function will depend on\n",
-    "    mode_mnt = td.ModeMonitor(\n",
-    "        size=(0, 1.5, 1.5),\n",
-    "        center=(+0.9, 0, 0),\n",
-    "        mode_spec=mode_src.mode_spec,\n",
-    "        freqs=[freq0],\n",
-    "        name=\"mode\",\n",
-    "    )\n",
-    "\n",
-    "    # the structure that depends on the input parameters, which we will differentiate our function w.r.t\n",
-    "    scatterer = JaxStructure(\n",
-    "        geometry=JaxBox(\n",
-    "            center=center,\n",
-    "            size=size,\n",
-    "        ),\n",
-    "        medium=JaxMedium(permittivity=eps),\n",
-    "    )\n",
-    "\n",
-    "    return JaxSimulation(\n",
-    "        size=(2, 2, 2),\n",
-    "        run_time=1e-12,\n",
-    "        structures=[waveguide],\n",
-    "        input_structures=[scatterer],\n",
-    "        sources=[mode_src],\n",
-    "        output_monitors=[mode_mnt],\n",
-    "        boundary_spec=td.BoundarySpec.all_sides(td.PML()),\n",
-    "        grid_spec=td.GridSpec.uniform(dl=dl),\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f4dcb88e-490f-4579-bb7d-4166bd6a3be5",
-   "metadata": {},
-   "source": [
-    "> Note: adding `.monitors` to the `JaxSimulation` will work as intended, but the function being differentiated should not depend on data corresponding to these monitors. This can, however,be useful for debugging, for example by examining field patterns, as the data will still be accessible in the output data.\n",
-    "\n",
-    "Let's try setting up the simulation and plotting it for starters."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "f4da7dc4-b13b-4c62-8590-4877ed71422a",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:06:49.278111Z",
-     "iopub.status.busy": "2023-08-17T23:06:49.277951Z",
-     "iopub.status.idle": "2023-08-17T23:06:49.797425Z",
-     "shell.execute_reply": "2023-08-17T23:06:49.796862Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# starting set of input parameters\n",
-    "center0 = (0.0, 0.0, 0.0)\n",
-    "size0 = (0.5, 1.0, 1.0)\n",
-    "eps0 = 3.0\n",
-    "\n",
-    "jax_sim = make_simulation(center=center0, size=size0, eps=eps0)\n",
-    "_, axes = plt.subplots(1, 3, figsize=(16, 5))\n",
-    "\n",
-    "# sim, _ = jax_sim.to_simulation()\n",
-    "for ax, dim in zip(axes, \"xyz\"):\n",
-    "    jax_sim.plot(**{dim: 0}, ax=ax)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a390df41-e293-4dbf-83e0-f5dff8e700cc",
-   "metadata": {},
-   "source": [
-    "### Post-processing the output data\n",
-    "\n",
-    "After the simulation is run, it returns a [JaxSimulation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.adjoint.JaxSimulation.html), which is a jax-compatible subclass of `SimulationData`. In addition to the `.data` corresponding to the `.monitors` in the `JaxSimulation`, `JaxSimulationData` also stores a `.output_data`, which stores the data corresponding to `JaxSimulation.output_monitors`. It is the `.output_data` that our differentiable function should depend on. These output data objects are also `Jax` subclasses of `Tidy3d` data objects, so their functionality may be slightly different, but overall can be used in the same way.\n",
-    "\n",
-    "> Note: currently only `.sel()` selection is supported in jax-compatible DataArray objects. So you should use `.sel()` and pass the values you want to select instead of using `.interp()` or `isel()` \n",
-    "\n",
-    "Let's write a function that will postprocess our `JaxSimulationData` and return the power in the mode amplitude of our output mode monitor."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "5d5c14b9-cb22-4ced-aad8-834b29c5800b",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:06:49.799869Z",
-     "iopub.status.busy": "2023-08-17T23:06:49.799721Z",
-     "iopub.status.idle": "2023-08-17T23:06:49.823824Z",
-     "shell.execute_reply": "2023-08-17T23:06:49.823131Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "from tidy3d.plugins.adjoint import JaxSimulationData\n",
-    "\n",
-    "\n",
-    "def compute_power(jax_sim_data: JaxSimulationData) -> float:\n",
-    "    \"\"\"Post process the result of the JaxSimulation run to return the power in the mode at index=0.\"\"\"\n",
-    "\n",
-    "    freq0 = jax_sim_data.simulation.output_monitors[0].freqs[0]\n",
-    "    jax_mode_data = jax_sim_data.output_monitor_data[\"mode\"]\n",
-    "    mode_amps = jax_mode_data.amps\n",
-    "    amp = mode_amps.sel(direction=\"+\", f=freq0, mode_index=0)\n",
-    "    return abs(amp) ** 2"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a49d64c6-7591-4b8b-bfa3-d09c1501d4b0",
-   "metadata": {},
-   "source": [
-    "### Defining the tidy3d simulation function for differentiation\n",
-    "\n",
-    "Next, we can import the `tidy3d.plugins.adjoint.web.run` function and put all the pieces together into a single function to compute the 0th order transmitted power as a function of `center`, `size`, and `eps` (relative permittivity) of the scatterer."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "7257472c-5db1-4b93-8cdb-24b3cc32775d",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:06:49.826490Z",
-     "iopub.status.busy": "2023-08-17T23:06:49.826325Z",
-     "iopub.status.idle": "2023-08-17T23:06:49.848139Z",
-     "shell.execute_reply": "2023-08-17T23:06:49.847216Z"
-    },
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "from tidy3d.plugins.adjoint.web import run as run_adjoint"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "946493e2-b10a-4824-aef0-2e8f1ec113f1",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:06:49.850738Z",
-     "iopub.status.busy": "2023-08-17T23:06:49.850282Z",
-     "iopub.status.idle": "2023-08-17T23:06:49.873655Z",
-     "shell.execute_reply": "2023-08-17T23:06:49.873106Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "def power(center: float, size: float, eps: float) -> float:\n",
-    "    \"\"\"Compute power transmitted into 0th order mode given a set of scatterer parameters.\"\"\"\n",
-    "    jax_sim = make_simulation(center=center, size=size, eps=eps)\n",
-    "    jax_sim_data = run_adjoint(jax_sim, task_name=\"adjoint_power\", verbose=True)\n",
-    "    return compute_power(jax_sim_data)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "90ee44c1-38a6-4dba-add5-9b36c43454cb",
-   "metadata": {},
-   "source": [
-    "### Running and differentiating the simulation using `jax`\n",
-    "\n",
-    "Finally, using the `jax` tools described earlier, we can differentiate this `power` function. \n",
-    "\n",
-    "For demonstration, let's use `jax.value_and_grad` to both compute the power **and** the gradient w.r.t. each of the 3 input parameters."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "id": "8a6518dd-c5a9-4826-95f6-7a0ed90e2f9a",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:06:49.875904Z",
-     "iopub.status.busy": "2023-08-17T23:06:49.875753Z",
-     "iopub.status.idle": "2023-08-17T23:06:49.903884Z",
-     "shell.execute_reply": "2023-08-17T23:06:49.903097Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "d_power = jax.value_and_grad(power, argnums=(0, 1, 2))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6f787405-1c6e-40b1-81d2-1a64d667e009",
-   "metadata": {},
-   "source": [
-    "We will run this function and assign variables to the power values and the gradients returned.\n",
-    "\n",
-    "Note that running this will set off **two** separate tasks, one after another, called, `\"adjoint_power_fwd\"` and `\"adjoint_power_adj\"`.\n",
-    "\n",
-    "The first is evaluating our simulation in \"forward mode\", computing the power and stashing information needed for gradient computation.\n",
-    "\n",
-    "The second step runs the \"adjoint\" simulation, in which the output monitor is converted to a source and the simulation is re-run.\n",
-    "\n",
-    "The results of both of these simulations runs are combined behind the scene to tell jax how to compute the gradient for us."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "68f34dce-3504-4dba-8012-436c4ff21ecc",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:06:49.906918Z",
-     "iopub.status.busy": "2023-08-17T23:06:49.906722Z",
-     "iopub.status.idle": "2023-08-17T23:07:50.379369Z",
-     "shell.execute_reply": "2023-08-17T23:07:50.378263Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
[16:06:50] Created task 'adjoint_power' with task_id               webapi.py:188\n",
-       "           'fdve-839df1ff-f172-4262-a9d8-14662c3b548cv1'.                       \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:06:50]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'adjoint_power'\u001b[0m with task_id               \u001b]8;id=822786;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=153630;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\u001b\\\u001b[2m188\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-839df1ff-f172-4262-a9d8-14662c3b548cv1'\u001b[0m.          \u001b[2m             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           View task using web UI at                               webapi.py:190\n",
-       "           'https://tidy3d.simulation.cloud/workbench?taskId=fdve-              \n",
-       "           839df1ff-f172-4262-a9d8-14662c3b548cv1'.                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                               \u001b]8;id=444635;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=788669;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\u001b\\\u001b[2m190\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b]8;id=302324;https://tidy3d.simulation.cloud/workbench?taskId=fdve-839df1ff-f172-4262-a9d8-14662c3b548cv1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=113381;https://tidy3d.simulation.cloud/workbench?taskId=fdve-839df1ff-f172-4262-a9d8-14662c3b548cv1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=302324;https://tidy3d.simulation.cloud/workbench?taskId=fdve-839df1ff-f172-4262-a9d8-14662c3b548cv1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=117360;https://tidy3d.simulation.cloud/workbench?taskId=fdve-839df1ff-f172-4262-a9d8-14662c3b548cv1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=302324;https://tidy3d.simulation.cloud/workbench?taskId=fdve-839df1ff-f172-4262-a9d8-14662c3b548cv1\u001b\\\u001b[32m-\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0m\u001b]8;id=302324;https://tidy3d.simulation.cloud/workbench?taskId=fdve-839df1ff-f172-4262-a9d8-14662c3b548cv1\u001b\\\u001b[32m839df1ff-f172-4262-a9d8-14662c3b548cv1'\u001b[0m\u001b]8;;\u001b\\.                \u001b[2m             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ff0c8bf3b2c048468d3f4dcf57b26435",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6e8b3310f1864aa38f0e887693333e66",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:06:51] status = queued                                         webapi.py:361\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:06:51]\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                         \u001b]8;id=407249;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=891297;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#361\u001b\\\u001b[2m361\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "fb3c7358175547bab3a99f97cc568de2",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:07:05] Maximum FlexCredit cost: 0.025. Use                     webapi.py:341\n",
-       "           'web.real_cost(task_id)' to get the billed FlexCredit                \n",
-       "           cost after a simulation run.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:07:05]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use                     \u001b]8;id=822369;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=325501;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#341\u001b\\\u001b[2m341\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit   \u001b[2m             \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0mcost after a simulation run.                            \u001b[2m             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           starting up solver                                      webapi.py:377\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                      \u001b]8;id=596615;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=246062;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#377\u001b\\\u001b[2m377\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           running solver                                          webapi.py:386\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                          \u001b]8;id=511320;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=260572;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#386\u001b\\\u001b[2m386\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           To cancel the simulation, use 'web.abort(task_id)' or   webapi.py:387\n",
-       "           'web.delete(task_id)' or abort/delete the task in the                \n",
-       "           web UI. Terminating the Python script will not stop the              \n",
-       "           job running on the cloud.                                            \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or   \u001b]8;id=331843;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=933792;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#387\u001b\\\u001b[2m387\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the   \u001b[2m             \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0mweb UI. Terminating the Python script will not stop the \u001b[2m             \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0mjob running on the cloud.                               \u001b[2m             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5fab5073d62b4cf1a4cdfc6262104037",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:07:12] early shutoff detected, exiting.                        webapi.py:404\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:07:12]\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected, exiting.                        \u001b]8;id=407649;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=32995;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#404\u001b\\\u001b[2m404\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           status = postprocess                                    webapi.py:419\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                    \u001b]8;id=185792;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=109385;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#419\u001b\\\u001b[2m419\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f73f20b25e7641e1993293a18fa4ca62",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:07:20] status = success                                        webapi.py:426\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:07:20]\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                        \u001b]8;id=255409;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=117967;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#426\u001b\\\u001b[2m426\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "447a8d8268d9466099cfe6df0d5e58cd",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           loading SimulationData from simulation_data.hdf5        webapi.py:590\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from simulation_data.hdf5        \u001b]8;id=832424;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=699793;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#590\u001b\\\u001b[2m590\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:07:21] Created task 'adjoint_power_adj' with task_id           webapi.py:188\n",
-       "           'fdve-854fa346-8a7f-43d0-bdc8-657c177248c4v1'.                       \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:07:21]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'adjoint_power_adj'\u001b[0m with task_id           \u001b]8;id=645284;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=842231;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\u001b\\\u001b[2m188\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-854fa346-8a7f-43d0-bdc8-657c177248c4v1'\u001b[0m.          \u001b[2m             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           View task using web UI at                               webapi.py:190\n",
-       "           'https://tidy3d.simulation.cloud/workbench?taskId=fdve-              \n",
-       "           854fa346-8a7f-43d0-bdc8-657c177248c4v1'.                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                               \u001b]8;id=794764;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=764728;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\u001b\\\u001b[2m190\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b]8;id=862072;https://tidy3d.simulation.cloud/workbench?taskId=fdve-854fa346-8a7f-43d0-bdc8-657c177248c4v1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=738016;https://tidy3d.simulation.cloud/workbench?taskId=fdve-854fa346-8a7f-43d0-bdc8-657c177248c4v1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=862072;https://tidy3d.simulation.cloud/workbench?taskId=fdve-854fa346-8a7f-43d0-bdc8-657c177248c4v1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=191141;https://tidy3d.simulation.cloud/workbench?taskId=fdve-854fa346-8a7f-43d0-bdc8-657c177248c4v1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=862072;https://tidy3d.simulation.cloud/workbench?taskId=fdve-854fa346-8a7f-43d0-bdc8-657c177248c4v1\u001b\\\u001b[32m-\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0m\u001b]8;id=862072;https://tidy3d.simulation.cloud/workbench?taskId=fdve-854fa346-8a7f-43d0-bdc8-657c177248c4v1\u001b\\\u001b[32m854fa346-8a7f-43d0-bdc8-657c177248c4v1'\u001b[0m\u001b]8;;\u001b\\.                \u001b[2m             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "40839ca026d94a15960f76567a908e3b",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "7a0191f382bb4f5d830dc50257de6041",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:07:22] status = queued                                         webapi.py:361\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:07:22]\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                         \u001b]8;id=30110;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=683989;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#361\u001b\\\u001b[2m361\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5cfda64f2b63446fa44ee6b885e80d56",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:07:31] status = preprocess                                     webapi.py:355\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:07:31]\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                     \u001b]8;id=460162;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=38062;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#355\u001b\\\u001b[2m355\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:07:35] Maximum FlexCredit cost: 0.025. Use                     webapi.py:341\n",
-       "           'web.real_cost(task_id)' to get the billed FlexCredit                \n",
-       "           cost after a simulation run.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:07:35]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use                     \u001b]8;id=355894;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=371550;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#341\u001b\\\u001b[2m341\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit   \u001b[2m             \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0mcost after a simulation run.                            \u001b[2m             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:07:36] starting up solver                                      webapi.py:377\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:07:36]\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                      \u001b]8;id=92020;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=906687;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#377\u001b\\\u001b[2m377\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           running solver                                          webapi.py:386\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                          \u001b]8;id=794840;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=548701;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#386\u001b\\\u001b[2m386\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           To cancel the simulation, use 'web.abort(task_id)' or   webapi.py:387\n",
-       "           'web.delete(task_id)' or abort/delete the task in the                \n",
-       "           web UI. Terminating the Python script will not stop the              \n",
-       "           job running on the cloud.                                            \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or   \u001b]8;id=141942;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=236476;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#387\u001b\\\u001b[2m387\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the   \u001b[2m             \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0mweb UI. Terminating the Python script will not stop the \u001b[2m             \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0mjob running on the cloud.                               \u001b[2m             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6c01a97d1bd243b5989e53e99737620b",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:07:41] status = postprocess                                    webapi.py:419\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:07:41]\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                    \u001b]8;id=736174;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=849899;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#419\u001b\\\u001b[2m419\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "442b09ebc99b4619a025f6ebf46eb4df",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:07:49] status = success                                        webapi.py:426\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:07:49]\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                        \u001b]8;id=198350;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=224827;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#426\u001b\\\u001b[2m426\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b53c68ddd8fd4415ab2e76a8c41c917e",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "power_value, (dp_center, dp_dsize, dp_deps) = d_power(center0, size0, eps0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "0ac63a75-89de-42c5-929d-f46da6f22864",
-   "metadata": {},
-   "source": [
-    "> Note: the gradient evaluation functions returned by `jax.grad()` do not accept keyword arguments (ie. `center=(0.,0.,0.)`) and instead accept positional arguments (without the argument name). You may run across this when trying to evaluate gradients so it's a good idea to keep in mind.\n",
-    "\n",
-    "We can take a look at our computed power and gradient information. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "f0a786d2-88c7-406a-a6cd-956e6cfb904c",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:07:53.253199Z",
-     "iopub.status.busy": "2023-08-17T23:07:53.252606Z",
-     "iopub.status.idle": "2023-08-17T23:07:53.665180Z",
-     "shell.execute_reply": "2023-08-17T23:07:53.663789Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "power = 0.552\n",
-      "d_power/d_center = (-0.006310250610113144, 1.163780689239502e-05, -0.0005402117967605591)\n",
-      "d_power/d_size = (-0.02708817459642887, 0.13217857480049133, -0.1335647702217102)\n",
-      "d_power/d_eps = -0.16805993680478554\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(f\"power = {power_value:.3f}\")\n",
-    "print(f\"d_power/d_center = {dp_center}\")\n",
-    "print(f\"d_power/d_size = {dp_dsize}\")\n",
-    "print(f\"d_power/d_eps = {dp_deps}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a20619d4-d14b-431f-b543-7f0f0bc2907a",
-   "metadata": {},
-   "source": [
-    "From this, we can infer several things that fit our intuition, for example that:\n",
-    "* the transmitted power should **decrease** if we increase the permittivity of our scatterer.\n",
-    "* the transmitted power does not depend strongly on the position of the scatterer along the propagation direction.\n",
-    "\n",
-    "## Conclusion & Next Steps\n",
-    "\n",
-    "This gives the most basic introduction to the principles behind the adjoint plugin.\n",
-    "\n",
-    "In subsequent notebooks, we will show how to:\n",
-    " * Check the gradients returned by this method against brute force computed gradients for accuracy.\n",
-    " * Perform gradient-based optimization using the adjoint plugin."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "07afec21-48ce-444c-a0a8-4d8251f1caee",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "description": "This notebook introduces the basics of Jax, automatic differentiation, and the adjoint plugin in Tidy3D FDTD.",
-  "feature_image": "",
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "keywords": "adjoint optimization, Jax, automatic differentiation, Tidy3D, FDTD",
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.9"
-  },
-  "title": "FDTD Adjoint Optimization Basics | Flexcompute",
-  "vscode": {
-   "interpreter": {
-    "hash": "9e43a20ef2440406ea6cbfb61ead7c471aba2de37f508addf1f0635fad81ef64"
-   }
-  },
-  "widgets": {
-   "application/vnd.jupyter.widget-state+json": {
-    "state": {
-     "0c38b4d069434f9a8da8dab1582e8691": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "22263ab07b714e918b3f7631c2d1d235": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "3e4b0212997349e4b94f6258bab4bbff": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "40839ca026d94a15960f76567a908e3b": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_59dd7a78d761479f95a37d185520b758",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ simulation.hdf5.gz ━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 1.3/1.3 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m1.3/1.3 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "442b09ebc99b4619a025f6ebf46eb4df": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_3e4b0212997349e4b94f6258bab4bbff",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🚶  Finishing 'adjoint_power_adj'...\n
\n",
-          "text/plain": "\u001b[32m🚶 \u001b[0m \u001b[1;32mFinishing 'adjoint_power_adj'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "447a8d8268d9466099cfe6df0d5e58cd": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_22263ab07b714e918b3f7631c2d1d235",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 26.0/26.0 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m26.0/26.0 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "59dd7a78d761479f95a37d185520b758": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "5cfda64f2b63446fa44ee6b885e80d56": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_689be44a1feb4f15806ffd340363f7c6",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🚶  Starting 'adjoint_power_adj'...\n
\n",
-          "text/plain": "\u001b[32m🚶 \u001b[0m \u001b[1;32mStarting 'adjoint_power_adj'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "5fab5073d62b4cf1a4cdfc6262104037": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_73e9899282044647881f883f74bf4b62",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
solver progress (field decay = 0.00e+00) ━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00\n
\n",
-          "text/plain": "solver progress (field decay = 0.00e+00) \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "61b34c9f786a417e85b5f36aa7579868": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "689be44a1feb4f15806ffd340363f7c6": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "6c01a97d1bd243b5989e53e99737620b": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_0c38b4d069434f9a8da8dab1582e8691",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
solver progress (field decay = 0.00e+00) ━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00\n
\n",
-          "text/plain": "solver progress (field decay = 0.00e+00) \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "6e8b3310f1864aa38f0e887693333e66": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_c56924fa669d49bfa83333df3c73ca89",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ jax_info.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 174/174 bytes • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34mjax_info.json\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m174/174 bytes\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "73e9899282044647881f883f74bf4b62": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "7a0191f382bb4f5d830dc50257de6041": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_db5f56f6df544ef4a0b1f92a78a4e656",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ jax_info.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 174/174 bytes • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34mjax_info.json\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m174/174 bytes\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "b53c68ddd8fd4415ab2e76a8c41c917e": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_ffb1092616b54fbe9e86418b8843fb6d",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↓ jax_sim_vjp.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 6.2/6.2 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mjax_sim_vjp.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m6.2/6.2 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "c56924fa669d49bfa83333df3c73ca89": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "c580b49c32bb430a834f30515c9339d6": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "db5f56f6df544ef4a0b1f92a78a4e656": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "f73f20b25e7641e1993293a18fa4ca62": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_c580b49c32bb430a834f30515c9339d6",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🏃  Finishing 'adjoint_power'...\n
\n",
-          "text/plain": "\u001b[32m🏃 \u001b[0m \u001b[1;32mFinishing 'adjoint_power'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "fb3c7358175547bab3a99f97cc568de2": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_fd940ff710d34afe9824c2ae7eb5038f",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🏃  Starting 'adjoint_power'...\n
\n",
-          "text/plain": "\u001b[32m🏃 \u001b[0m \u001b[1;32mStarting 'adjoint_power'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "fd940ff710d34afe9824c2ae7eb5038f": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "ff0c8bf3b2c048468d3f4dcf57b26435": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_61b34c9f786a417e85b5f36aa7579868",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ simulation.hdf5.gz ━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 1.4/1.4 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m1.4/1.4 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "ffb1092616b54fbe9e86418b8843fb6d": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     }
-    },
-    "version_major": 2,
-    "version_minor": 0
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/AdjointPlugin2GradientChecking.ipynb b/AdjointPlugin2GradientChecking.ipynb
deleted file mode 100644
index 58a7fb0b..00000000
--- a/AdjointPlugin2GradientChecking.ipynb
+++ /dev/null
@@ -1,2539 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "fed083e4-9be1-480c-82e9-4bfd7dbccf1f",
-   "metadata": {},
-   "source": [
-    "# Adjoint analysis of a multi-layer slab\n",
-    "\n",
-    "> Note: Tidy3D now supports automatic differentiation natively through `autograd`. The `jax`-based `adjoint` plugin will be deprecated from 2.7 onwards. To see this notebook implemented in the new feature, see [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd2GradientChecking/).\n",
-    "\n",
-    "> To install the `jax` module required for this feature, we recommend running `pip install \"tidy3d[jax]\"`.\n",
-    "\n",
-    "In this notebook, we will show how to use the adjoint plugin for `DiffractionMonitor` outputs and also check the gradient values against gradients obtained using transfer matrix method (TMM) to validate their accuracy for a multilayer slab problem."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "51963da1",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:07:56.731049Z",
-     "iopub.status.busy": "2023-08-17T23:07:56.730397Z",
-     "iopub.status.idle": "2023-08-17T23:08:02.157419Z",
-     "shell.execute_reply": "2023-08-17T23:08:02.155723Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "from typing import List, Tuple\n",
-    "\n",
-    "import jax\n",
-    "import jax.numpy as jnp\n",
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
-    "import tidy3d as td\n",
-    "import tmm\n",
-    "from tidy3d.plugins.adjoint import (\n",
-    "    JaxBox,\n",
-    "    JaxMedium,\n",
-    "    JaxSimulation,\n",
-    "    JaxSimulationData,\n",
-    "    JaxStructure,\n",
-    ")\n",
-    "from tidy3d.plugins.adjoint.web import run as run_adjoint\n",
-    "from tidy3d.web import run as run_sim"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b33d0892-62d3-4329-810f-f29ce10056b4",
-   "metadata": {},
-   "source": [
-    "First, we define some global parameters describing the transmission through a multilayer slab with some spacing between each slab.\n",
-    "\n",
-    "The layout is diagrammed below.\n",
-    "\n",
-    "\"Schematic\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "ccbd2c6a-419d-4570-8f91-f57ad5bad813",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:08:02.165065Z",
-     "iopub.status.busy": "2023-08-17T23:08:02.163779Z",
-     "iopub.status.idle": "2023-08-17T23:08:02.218259Z",
-     "shell.execute_reply": "2023-08-17T23:08:02.217103Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "# frequency we want to simulate at\n",
-    "freq0 = 2.0e14\n",
-    "k0 = 2 * np.pi * freq0 / td.C_0\n",
-    "freqs = [freq0]\n",
-    "wavelength = td.C_0 / freq0\n",
-    "\n",
-    "# background permittivity\n",
-    "bck_eps = 1.3**2\n",
-    "\n",
-    "# space between each slab\n",
-    "spc = 0.0\n",
-    "\n",
-    "# slab permittivities and thicknesses\n",
-    "slab_eps0 = [2.0**2, 1.8**2, 1.5**2, 1.9**2]\n",
-    "slab_ds0 = [0.5, 0.25, 0.5, 0.5]\n",
-    "\n",
-    "# incidence angle\n",
-    "theta = 0 * np.pi / 8\n",
-    "\n",
-    "# resolution\n",
-    "dl = 0.01"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "48dd37b0-ba97-45cd-a861-53ea6ae3fa74",
-   "metadata": {},
-   "source": [
-    "## Transfer Matrix Method (Ground Truth)\n",
-    "\n",
-    "Next we use the `tmm` package to write a function to return the transmission `T` of `p` polarized light given a set of slab permittivities and thicknesses. We'll also write a function to compute the numerical gradient using TMM and will take these to be our \"ground truths\" when evaluating the accuracy of our values obtained through FDTD and the adjoint plugin.\n",
-    "\n",
-    "### Transmission Calculation with TMM\n",
-    "\n",
-    "First, we write a function to compute transmission."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "cc4f6e91-6a53-476e-b4c6-e76e50246426",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:08:02.224452Z",
-     "iopub.status.busy": "2023-08-17T23:08:02.223854Z",
-     "iopub.status.idle": "2023-08-17T23:08:02.276514Z",
-     "shell.execute_reply": "2023-08-17T23:08:02.274845Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "def compute_T_tmm(slab_eps=slab_eps0, slab_ds=slab_ds0) -> float:\n",
-    "    \"\"\"Get transmission as a function of slab permittivities and thicknesses.\"\"\"\n",
-    "\n",
-    "    # construct lists of permittivities and thicknesses including spaces between\n",
-    "    new_slab_eps = []\n",
-    "    new_slab_ds = []\n",
-    "    for eps, d in zip(slab_eps, slab_ds):\n",
-    "        new_slab_eps.append(eps)\n",
-    "        new_slab_eps.append(bck_eps)\n",
-    "        new_slab_ds.append(d)\n",
-    "        new_slab_ds.append(spc)\n",
-    "    slab_eps = new_slab_eps[:-1]\n",
-    "    slab_ds = new_slab_ds[:-1]\n",
-    "\n",
-    "    # add the input and output spaces to the lists\n",
-    "    eps_list = [bck_eps] + slab_eps + [bck_eps]\n",
-    "    n_list = np.sqrt(eps_list)\n",
-    "    d_list = [np.inf] + slab_ds + [np.inf]\n",
-    "\n",
-    "    # compute transmission with TMM\n",
-    "    return tmm.coh_tmm(\"p\", n_list, d_list, theta, wavelength)[\"T\"]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c6c0da6b-2d2f-4be5-80e6-c84afd8d1a23",
-   "metadata": {},
-   "source": [
-    "We run this function with our starting parameters and see that we get a transmission of about 98% for the set of input parameters."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "c1743e54-d7f3-468a-8ac4-d42d4c2bc8dc",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:08:02.281739Z",
-     "iopub.status.busy": "2023-08-17T23:08:02.281300Z",
-     "iopub.status.idle": "2023-08-17T23:08:02.337441Z",
-     "shell.execute_reply": "2023-08-17T23:08:02.335813Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "T (tmm) = 0.901\n"
-     ]
-    }
-   ],
-   "source": [
-    "T_tmm = compute_T_tmm(slab_eps=slab_eps0, slab_ds=slab_ds0)\n",
-    "print(f\"T (tmm) = {T_tmm:.3f}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "452db467-f486-468d-8ec9-b9e669755c92",
-   "metadata": {},
-   "source": [
-    "### Numerical Gradient with TMM\n",
-    "\n",
-    "Next, we will use our `compute_T_tmm()` function to compute the \"numerical\" gradient to use as comparison against our adjoint results with FDTD.\n",
-    "\n",
-    "The derivative of a function $f(x)$ w.r.t. $x$ can be approximated using finite differences as\n",
-    "\n",
-    "$$ \\frac{df}{dx}(x) \\approx \\frac{f(x+\\Delta) - f(x-\\Delta)}{2\\Delta}$$\n",
-    "\n",
-    "with a small step $\\Delta$.\n",
-    "\n",
-    "To compute the gradient of our transmission with respect to each of the slab thicknesses and permittivities, we need to repeat this step for each of the values. Luckily, since TMM is very fast, we can compute these quantities quite quickly compared to if we were using FDTD.\n",
-    "\n",
-    "> Important note: We assume in our TMM numerical gradient that when the slabs are touching (`spc=0`) and a slab thickness is modified, that the thicknesses of the neighboring slabs adjust to accommodate this change. For example, if slab `i` increases by `dt`, slab `i-1` and `i+1` each decrease by `dt/2`. We also account for this in our FDTD set up by keeping the centers of all boxes constant and not tracking the gradient through these quantities. The reason this is required is that `tidy3d.plugins.adjoint` does not recognize the space between touching `JaxBox` objects as a single interface and will instead \"double count\" the gradient contribution of the interface if they are placed right next to each other. One must therefore be careful about overlapping or touching two `JaxBox` or other geometries when computing gradients.\n",
-    "\n",
-    "Here we write the function to return the numerical gradient."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "15d5bae1-6fc7-41c8-8772-2e80505be17d",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:08:02.342362Z",
-     "iopub.status.busy": "2023-08-17T23:08:02.341848Z",
-     "iopub.status.idle": "2023-08-17T23:08:02.400598Z",
-     "shell.execute_reply": "2023-08-17T23:08:02.399357Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "def compute_grad_tmm(slab_eps=slab_eps0, slab_ds=slab_ds0) -> Tuple[List[float], List[float]]:\n",
-    "    \"\"\"Compute numerical gradient of transmission w.r.t. each of the slab permittivities and thicknesses using TMM.\"\"\"\n",
-    "\n",
-    "    delta = 1e-4\n",
-    "\n",
-    "    # set up containers to store gradient and perturbed arguments\n",
-    "    num_slabs = len(slab_eps)\n",
-    "    grad_tmm = np.zeros((2, num_slabs), dtype=float)\n",
-    "    args = np.stack((slab_eps, slab_ds), axis=0)\n",
-    "\n",
-    "    # loop through slab index and argument index (eps, d)\n",
-    "    for arg_index in range(2):\n",
-    "        for slab_index in range(num_slabs):\n",
-    "            grad = 0.0\n",
-    "\n",
-    "            # perturb the argument by delta in each + and - direction\n",
-    "            for pm in (-1, +1):\n",
-    "                args_num = args.copy()\n",
-    "                args_num[arg_index][slab_index] += delta * pm\n",
-    "\n",
-    "                # NEW: for slab thickness gradient, need to modify neighboring slabs too\n",
-    "                if arg_index == 1 and spc == 0:\n",
-    "                    if slab_index > 0:\n",
-    "                        args_num[arg_index][slab_index - 1] -= delta * pm / 2\n",
-    "                    if slab_index < num_slabs - 1:\n",
-    "                        args_num[arg_index][slab_index + 1] -= delta * pm / 2\n",
-    "\n",
-    "                # compute argument perturbed T and add to finite difference gradient contribution\n",
-    "                T_tmm = compute_T_tmm(slab_eps=args_num[0], slab_ds=args_num[1])\n",
-    "                grad += pm * T_tmm / 2 / delta\n",
-    "\n",
-    "            grad_tmm[arg_index][slab_index] = grad\n",
-    "    grad_eps, grad_ds = grad_tmm\n",
-    "    return grad_eps, grad_ds"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d3c362ca-fb31-4ead-8e7c-fcc24d0faecc",
-   "metadata": {},
-   "source": [
-    "Let's run this function and observe the gradients. These will be saved later to compare against our adjoint plugin results."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "b5d1cc93-6d6e-43a7-8e5f-f1829770f3d5",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:08:02.405557Z",
-     "iopub.status.busy": "2023-08-17T23:08:02.405110Z",
-     "iopub.status.idle": "2023-08-17T23:08:02.465738Z",
-     "shell.execute_reply": "2023-08-17T23:08:02.464721Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "gradient w.r.t. eps (tmm)  = [-0.15463022  0.0376046  -0.0850184  -0.15883104]\n",
-      "gradient w.r.t. ds  (tmm)  = [-0.86661161 -0.12292531  0.58010922 -1.05537497]\n"
-     ]
-    }
-   ],
-   "source": [
-    "grad_eps_tmm, grad_ds_tmm = compute_grad_tmm()\n",
-    "print(f\"gradient w.r.t. eps (tmm)  = {grad_eps_tmm}\")\n",
-    "print(f\"gradient w.r.t. ds  (tmm)  = {grad_ds_tmm}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "50ca68ae-ca5a-49aa-9969-ac6d43324ea9",
-   "metadata": {},
-   "source": [
-    "## FDTD (Using adjoint plugin)\n",
-    "\n",
-    "Next, we will implement the same two functions using Tidy3D's adjoint plugin.\n",
-    "\n",
-    "### Transmission Calculation with FDTD\n",
-    "\n",
-    "We first write a function to compute the transmission of a multilayer slab using Tidy3D.\n",
-    "\n",
-    "As discussed in the previous adjoint tutorial notebook, we need to use `jax`-compatible components from the tidy3d subclass for any structures that may depend on the parameters. In this case, this means that the slabs must be `JaxStructures` containing `JaxBox` and `JaxMedium` and must be added to `JaxSimulation.input_structures`.\n",
-    "\n",
-    "We use a `DiffractionMonitor` to measure our transmission amplitudes. As the data corresponding to this monitor will be used in the differentiable function return value, we must add it to `JaxSimulation.output_monitors`.\n",
-    "\n",
-    "Below, we break up the transmission calculation into a few functions to make it easier to read and reuse later."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "4d12f133-a8d8-4e59-938f-fca4d2e2fa0b",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:08:02.471123Z",
-     "iopub.status.busy": "2023-08-17T23:08:02.470766Z",
-     "iopub.status.idle": "2023-08-17T23:08:02.536674Z",
-     "shell.execute_reply": "2023-08-17T23:08:02.535618Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "def make_sim(slab_eps=slab_eps0, slab_ds=slab_ds0) -> JaxSimulation:\n",
-    "    \"\"\"Create a JaxSimulation given the slab permittivities and thicknesses.\"\"\"\n",
-    "\n",
-    "    # frequency setup\n",
-    "    fwidth = freq0 / 10.0\n",
-    "    freqs = [freq0]\n",
-    "\n",
-    "    # geometry setup\n",
-    "    bck_medium = td.Medium(permittivity=bck_eps)\n",
-    "\n",
-    "    space_above = 2\n",
-    "    space_below = 2\n",
-    "\n",
-    "    length_x = 0.1\n",
-    "    length_y = 0.1\n",
-    "    length_z = space_below + sum(slab_ds0) + space_above + (len(slab_ds0) - 1) * spc\n",
-    "    sim_size = (length_x, length_y, length_z)\n",
-    "\n",
-    "    # make structures\n",
-    "    slabs = []\n",
-    "    z_start = -length_z / 2 + space_below\n",
-    "    for d, eps in zip(slab_ds, slab_eps):\n",
-    "        # don't track the gradient through the center of each slab\n",
-    "        # as tidy3d doesn't have enough information to properly process the interface between touching JaxBox objects\n",
-    "        z_center = jax.lax.stop_gradient(z_start + d / 2)\n",
-    "        slab = JaxStructure(\n",
-    "            geometry=JaxBox(center=[0, 0, z_center], size=[td.inf, td.inf, d]),\n",
-    "            medium=JaxMedium(permittivity=eps),\n",
-    "        )\n",
-    "        slabs.append(slab)\n",
-    "        z_start += d + spc\n",
-    "\n",
-    "    # source setup\n",
-    "    gaussian = td.GaussianPulse(freq0=freq0, fwidth=fwidth)\n",
-    "    src_z = -length_z / 2 + space_below / 2.0\n",
-    "\n",
-    "    source = td.PlaneWave(\n",
-    "        center=(0, 0, src_z),\n",
-    "        size=(td.inf, td.inf, 0),\n",
-    "        source_time=gaussian,\n",
-    "        direction=\"+\",\n",
-    "        angle_theta=theta,\n",
-    "        angle_phi=0,\n",
-    "        pol_angle=0,\n",
-    "    )\n",
-    "\n",
-    "    # boundaries\n",
-    "    boundary_x = td.Boundary.bloch_from_source(\n",
-    "        source=source, domain_size=sim_size[0], axis=0, medium=bck_medium\n",
-    "    )\n",
-    "    boundary_y = td.Boundary.bloch_from_source(\n",
-    "        source=source, domain_size=sim_size[1], axis=1, medium=bck_medium\n",
-    "    )\n",
-    "    boundary_spec = td.BoundarySpec(x=boundary_x, y=boundary_y, z=td.Boundary.pml(num_layers=40))\n",
-    "\n",
-    "    # monitors\n",
-    "    mnt_z = length_z / 2 - space_above / 2.0\n",
-    "    monitor_1 = td.DiffractionMonitor(\n",
-    "        center=[0.0, 0.0, mnt_z],\n",
-    "        size=[td.inf, td.inf, 0],\n",
-    "        freqs=freqs,\n",
-    "        name=\"diffraction\",\n",
-    "        normal_dir=\"+\",\n",
-    "    )\n",
-    "\n",
-    "    # make simulation\n",
-    "    return JaxSimulation(\n",
-    "        size=sim_size,\n",
-    "        grid_spec=td.GridSpec.auto(min_steps_per_wvl=100),\n",
-    "        input_structures=slabs,\n",
-    "        sources=[source],\n",
-    "        output_monitors=[monitor_1],\n",
-    "        run_time=10 / fwidth,\n",
-    "        boundary_spec=boundary_spec,\n",
-    "        medium=bck_medium,\n",
-    "        subpixel=True,\n",
-    "        shutoff=1e-8,\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "9addea1f-4dd8-4e5e-a058-b94638fb2d70",
-   "metadata": {},
-   "source": [
-    "Let's generate a simulation and plot it to make sure it looks reasonable."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "bc0dc456-e742-4299-ae5e-22daa49e3997",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:08:02.542197Z",
-     "iopub.status.busy": "2023-08-17T23:08:02.541595Z",
-     "iopub.status.idle": "2023-08-17T23:08:03.865017Z",
-     "shell.execute_reply": "2023-08-17T23:08:03.864006Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
[16:08:03] WARNING: 'JaxSimulation.input_structures[0]'        simulation.py:189\n",
-       "           overlaps or touches                                                  \n",
-       "           'JaxSimulation.input_structures[1]'. Geometric                       \n",
-       "           gradients for overlapping input structures may                       \n",
-       "           contain errors.                                                      \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:08:03]\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: \u001b[0m\u001b[32m'JaxSimulation.input_structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m       \u001b[0m \u001b]8;id=437283;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/plugins/adjoint/components/simulation.py\u001b\\\u001b[2msimulation.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=913371;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/plugins/adjoint/components/simulation.py#189\u001b\\\u001b[2m189\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31moverlaps or touches                                \u001b[0m \u001b[2m                 \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'JaxSimulation.input_structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m1\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m. Geometric     \u001b[0m \u001b[2m                 \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mgradients for overlapping input structures may     \u001b[0m \u001b[2m                 \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mcontain errors.                                    \u001b[0m \u001b[2m                 \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           WARNING: Suppressed 2 WARNING messages.                    log.py:130\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m2\u001b[0m\u001b[31m WARNING messages.                   \u001b[0m \u001b]8;id=302748;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/log.py\u001b\\\u001b[2mlog.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=683292;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/log.py#130\u001b\\\u001b[2m130\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sim = make_sim()\n",
-    "f, ax = plt.subplots(1, 1, figsize=(10, 10))\n",
-    "sim.plot(y=0, ax=ax)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e4c9a742-5988-444d-9ac4-34b612d42289",
-   "metadata": {},
-   "source": [
-    "Now we write a function to post process some run results to get the transmission we are after."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "1917a8b6-8ba9-4767-90ca-06cd6daadcd3",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:08:03.874457Z",
-     "iopub.status.busy": "2023-08-17T23:08:03.874017Z",
-     "iopub.status.idle": "2023-08-17T23:08:03.929179Z",
-     "shell.execute_reply": "2023-08-17T23:08:03.924686Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "def post_process_T(sim_data: JaxSimulationData) -> float:\n",
-    "    \"\"\"Given some JaxSimulationData from the run, return the transmission of \"p\" polarized light.\"\"\"\n",
-    "    amps = sim_data.output_monitor_data[\"diffraction\"].amps.sel(polarization=\"p\")\n",
-    "    return jnp.sum(abs(amps.values) ** 2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b65e4d49-e8b1-4e05-9fce-57bd63b3f2cf",
-   "metadata": {},
-   "source": [
-    "And finally, put everything together in a single function that relates the permittivities and thicknesses of each slab to the transmission, through a `JaxSimulation` run using the adjoint plugin."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "f64ac290-b67d-4a9a-88e8-504de931fef8",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:08:03.934845Z",
-     "iopub.status.busy": "2023-08-17T23:08:03.934348Z",
-     "iopub.status.idle": "2023-08-17T23:08:03.985124Z",
-     "shell.execute_reply": "2023-08-17T23:08:03.983984Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "def compute_T_fdtd(slab_eps=slab_eps0, slab_ds=slab_ds0) -> float:\n",
-    "    \"\"\"Given the slab permittivities and thicknesses, compute T, making sure to use `tidy3d.plugins.adjoint.web.run_adjoint`.\"\"\"\n",
-    "    sim = make_sim(slab_eps=slab_eps, slab_ds=slab_ds)\n",
-    "    sim_data = run_adjoint(sim, task_name=\"slab\", verbose=True)\n",
-    "    return post_process_T(sim_data)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c4c19d59-d9a3-4935-b785-5fb6b3b3a819",
-   "metadata": {},
-   "source": [
-    "### Computing T and Gradient with FDTD\n",
-    "\n",
-    "Now that we have this function defined, we are ready to compute our transmission and gradients using Tidy3d.\n",
-    "\n",
-    "We first call `jax.value_and_grad()` on our transmission calculation function, which returns a function that will give us both `T` and the gradient of `T` with respect to the input parameters in one shot. For more details, see the previous tutorial."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "59647cdf-8c2a-40d6-bbc9-b7537616938a",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:08:03.990469Z",
-     "iopub.status.busy": "2023-08-17T23:08:03.989814Z",
-     "iopub.status.idle": "2023-08-17T23:08:04.036621Z",
-     "shell.execute_reply": "2023-08-17T23:08:04.035575Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "compute_T_and_grad_fdtd = jax.value_and_grad(compute_T_fdtd, argnums=(0, 1))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "81caed90-8554-441b-8948-b240e181e98c",
-   "metadata": {},
-   "source": [
-    "Next, we call this function on our starting parameters, which will kick off the original (`fwd`) T transmission simulation and then the reverse (`adj`) simulation, which is used in combination with `fwd` for the gradient calculation."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "ef6716b3-79a3-40cc-ac2a-5056b5ed2ae9",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:08:04.053797Z",
-     "iopub.status.busy": "2023-08-17T23:08:04.053005Z",
-     "iopub.status.idle": "2023-08-17T23:09:04.039197Z",
-     "shell.execute_reply": "2023-08-17T23:09:04.038027Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "No GPU/TPU found, falling back to CPU. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:08:04] Created task 'slab' with task_id                        webapi.py:188\n",
-       "           'fdve-2f19f86e-0116-4822-9d46-79099e2c6b40v1'.                       \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:08:04]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'slab'\u001b[0m with task_id                        \u001b]8;id=646193;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=365955;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\u001b\\\u001b[2m188\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-2f19f86e-0116-4822-9d46-79099e2c6b40v1'\u001b[0m.          \u001b[2m             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           View task using web UI at                               webapi.py:190\n",
-       "           'https://tidy3d.simulation.cloud/workbench?taskId=fdve-              \n",
-       "           2f19f86e-0116-4822-9d46-79099e2c6b40v1'.                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                               \u001b]8;id=182543;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=418788;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\u001b\\\u001b[2m190\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b]8;id=161821;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2f19f86e-0116-4822-9d46-79099e2c6b40v1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=535422;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2f19f86e-0116-4822-9d46-79099e2c6b40v1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=161821;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2f19f86e-0116-4822-9d46-79099e2c6b40v1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=576589;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2f19f86e-0116-4822-9d46-79099e2c6b40v1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=161821;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2f19f86e-0116-4822-9d46-79099e2c6b40v1\u001b\\\u001b[32m-\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0m\u001b]8;id=161821;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2f19f86e-0116-4822-9d46-79099e2c6b40v1\u001b\\\u001b[32m2f19f86e-0116-4822-9d46-79099e2c6b40v1'\u001b[0m\u001b]8;;\u001b\\.                \u001b[2m             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5c6ae68cdbb342d9921f6ef5662ac579",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "45250aafd8154f519a2f1800d412276f",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:08:06] status = queued                                         webapi.py:361\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:08:06]\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                         \u001b]8;id=389506;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=134349;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#361\u001b\\\u001b[2m361\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3c5838f495014a368febb99b7b52d114",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:08:15] status = preprocess                                     webapi.py:355\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:08:15]\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                     \u001b]8;id=265441;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=404358;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#355\u001b\\\u001b[2m355\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:08:19] Maximum FlexCredit cost: 0.025. Use                     webapi.py:341\n",
-       "           'web.real_cost(task_id)' to get the billed FlexCredit                \n",
-       "           cost after a simulation run.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:08:19]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use                     \u001b]8;id=365425;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=289123;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#341\u001b\\\u001b[2m341\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit   \u001b[2m             \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0mcost after a simulation run.                            \u001b[2m             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           starting up solver                                      webapi.py:377\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                      \u001b]8;id=686318;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=715831;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#377\u001b\\\u001b[2m377\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           running solver                                          webapi.py:386\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                          \u001b]8;id=602192;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=691462;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#386\u001b\\\u001b[2m386\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           To cancel the simulation, use 'web.abort(task_id)' or   webapi.py:387\n",
-       "           'web.delete(task_id)' or abort/delete the task in the                \n",
-       "           web UI. Terminating the Python script will not stop the              \n",
-       "           job running on the cloud.                                            \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or   \u001b]8;id=616494;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=667805;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#387\u001b\\\u001b[2m387\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the   \u001b[2m             \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0mweb UI. Terminating the Python script will not stop the \u001b[2m             \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0mjob running on the cloud.                               \u001b[2m             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "aa8c754cdea6462795072b699f6a6d2f",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:08:26] early shutoff detected, exiting.                        webapi.py:404\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:08:26]\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected, exiting.                        \u001b]8;id=889394;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=927110;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#404\u001b\\\u001b[2m404\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           status = postprocess                                    webapi.py:419\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                    \u001b]8;id=257991;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=265586;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#419\u001b\\\u001b[2m419\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5d18c826b10340cba5be5f8ff9c84246",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:08:35] status = success                                        webapi.py:426\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:08:35]\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                        \u001b]8;id=489532;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=84250;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#426\u001b\\\u001b[2m426\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c0433262460d44e3920029c59d404c70",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:08:36] loading SimulationData from simulation_data.hdf5        webapi.py:590\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:08:36]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from simulation_data.hdf5        \u001b]8;id=603178;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=118268;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#590\u001b\\\u001b[2m590\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:08:37] Created task 'slab_adj' with task_id                    webapi.py:188\n",
-       "           'fdve-cf984b1a-3ce4-406c-b6e0-2b9bfd479d7av1'.                       \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:08:37]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'slab_adj'\u001b[0m with task_id                    \u001b]8;id=358402;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=988650;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\u001b\\\u001b[2m188\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-cf984b1a-3ce4-406c-b6e0-2b9bfd479d7av1'\u001b[0m.          \u001b[2m             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           View task using web UI at                               webapi.py:190\n",
-       "           'https://tidy3d.simulation.cloud/workbench?taskId=fdve-              \n",
-       "           cf984b1a-3ce4-406c-b6e0-2b9bfd479d7av1'.                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                               \u001b]8;id=984437;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=285154;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\u001b\\\u001b[2m190\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b]8;id=626880;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf984b1a-3ce4-406c-b6e0-2b9bfd479d7av1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=904231;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf984b1a-3ce4-406c-b6e0-2b9bfd479d7av1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=626880;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf984b1a-3ce4-406c-b6e0-2b9bfd479d7av1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=464509;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf984b1a-3ce4-406c-b6e0-2b9bfd479d7av1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=626880;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf984b1a-3ce4-406c-b6e0-2b9bfd479d7av1\u001b\\\u001b[32m-\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0m\u001b]8;id=626880;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf984b1a-3ce4-406c-b6e0-2b9bfd479d7av1\u001b\\\u001b[32mcf984b1a-3ce4-406c-b6e0-2b9bfd479d7av1'\u001b[0m\u001b]8;;\u001b\\.                \u001b[2m             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "282a8d63ba98429f931ce53ae75949e6",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "8144e366eb5d41db8491c35f50fd6987",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:08:38] status = queued                                         webapi.py:361\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:08:38]\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                         \u001b]8;id=31964;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=973805;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#361\u001b\\\u001b[2m361\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "58994231079549e59896cb3ff5e28ed5",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:08:47] status = preprocess                                     webapi.py:355\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:08:47]\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                     \u001b]8;id=85751;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=510981;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#355\u001b\\\u001b[2m355\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:08:50] Maximum FlexCredit cost: 0.025. Use                     webapi.py:341\n",
-       "           'web.real_cost(task_id)' to get the billed FlexCredit                \n",
-       "           cost after a simulation run.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:08:50]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use                     \u001b]8;id=717503;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=943223;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#341\u001b\\\u001b[2m341\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit   \u001b[2m             \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0mcost after a simulation run.                            \u001b[2m             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           starting up solver                                      webapi.py:377\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                      \u001b]8;id=305428;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=775108;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#377\u001b\\\u001b[2m377\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           running solver                                          webapi.py:386\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                          \u001b]8;id=830035;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=519007;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#386\u001b\\\u001b[2m386\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           To cancel the simulation, use 'web.abort(task_id)' or   webapi.py:387\n",
-       "           'web.delete(task_id)' or abort/delete the task in the                \n",
-       "           web UI. Terminating the Python script will not stop the              \n",
-       "           job running on the cloud.                                            \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or   \u001b]8;id=44287;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=935695;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#387\u001b\\\u001b[2m387\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the   \u001b[2m             \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0mweb UI. Terminating the Python script will not stop the \u001b[2m             \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0mjob running on the cloud.                               \u001b[2m             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "311a8407bb914b45a8d5a58ef9aaadc1",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:08:57] early shutoff detected, exiting.                        webapi.py:404\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:08:57]\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected, exiting.                        \u001b]8;id=327605;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=34609;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#404\u001b\\\u001b[2m404\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           status = postprocess                                    webapi.py:419\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                    \u001b]8;id=173075;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=442863;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#419\u001b\\\u001b[2m419\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9405474c8af34861a54c67c5fb458402",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[16:09:03] status = success                                        webapi.py:426\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[16:09:03]\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                        \u001b]8;id=915697;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=983054;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#426\u001b\\\u001b[2m426\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e8e53f3f14304b9e88884c8a249e1f08",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# set logging level to ERROR to avoid redundant warnings from adjoint run\n",
-    "td.config.logging_level = \"ERROR\"\n",
-    "T_fdtd, (grad_eps_fdtd, grad_ds_fdtd) = compute_T_and_grad_fdtd(slab_eps0, slab_ds0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "cbd02aa9-41f9-4e28-802d-f9a46b7f6263",
-   "metadata": {},
-   "source": [
-    "### Checking Accuracy of TMM (Numerical) vs FDTD (Adjoint)\n",
-    "\n",
-    "Let's convert these from jax types to numpy arrays to work with them easier, and then display the results compared to TMM."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "41e66722-bb8c-41d9-a0a7-85009ff46df3",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:09:07.444912Z",
-     "iopub.status.busy": "2023-08-17T23:09:07.444254Z",
-     "iopub.status.idle": "2023-08-17T23:09:07.501400Z",
-     "shell.execute_reply": "2023-08-17T23:09:07.500241Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "grad_eps_fdtd = np.array(grad_eps_fdtd)\n",
-    "grad_ds_fdtd = np.array(grad_ds_fdtd)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "953d2497-240a-4295-9fcd-5342942983d0",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:09:07.506564Z",
-     "iopub.status.busy": "2023-08-17T23:09:07.505910Z",
-     "iopub.status.idle": "2023-08-17T23:09:07.566914Z",
-     "shell.execute_reply": "2023-08-17T23:09:07.565727Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "T (tmm)  = 0.90105\n",
-      "T (FDTD) = 0.90048\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(f\"T (tmm)  = {T_tmm:.5f}\")\n",
-    "print(f\"T (FDTD) = {T_fdtd:.5f}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "809d274a-9bb4-4f24-a7c2-962fc36f0b74",
-   "metadata": {},
-   "source": [
-    "We see that the transmission results match very well with TMM, giving us a lot of confidence that our set up is correct.\n",
-    "\n",
-    "Let's look at the gradients now."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "id": "d0e496be-a967-427d-9ed6-8eea5a96fd70",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:09:07.573106Z",
-     "iopub.status.busy": "2023-08-17T23:09:07.572391Z",
-     "iopub.status.idle": "2023-08-17T23:09:07.636831Z",
-     "shell.execute_reply": "2023-08-17T23:09:07.635616Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "un-normalized:\n",
-      "\tgrad_eps (tmm)  = [-0.15463022  0.0376046  -0.0850184  -0.15883104]\n",
-      "\tgrad_eps (FDTD)  = [-0.15559791  0.0386887  -0.08492498 -0.15971345]\n",
-      "--------------------------------------------------------------------------------\n",
-      "\tgrad_ds  (tmm)  = [-0.86661161 -0.12292531  0.58010922 -1.05537497]\n",
-      "\tgrad_ds  (FDTD)  = [-0.86666358 -0.1228885   0.58089787 -1.05617034]\n",
-      "RMS error = 0.7083383436340311 %\n",
-      "RMS error = 0.0753566950178439 %\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(\"un-normalized:\")\n",
-    "print(f\"\\tgrad_eps (tmm)  = {grad_eps_tmm}\")\n",
-    "print(f\"\\tgrad_eps (FDTD)  = {grad_eps_fdtd}\")\n",
-    "print(80 * \"-\")\n",
-    "print(f\"\\tgrad_ds  (tmm)  = {grad_ds_tmm}\")\n",
-    "print(f\"\\tgrad_ds  (FDTD)  = {grad_ds_fdtd}\")\n",
-    "\n",
-    "\n",
-    "rms_eps = np.linalg.norm(grad_eps_tmm - grad_eps_fdtd) / np.linalg.norm(grad_eps_tmm)\n",
-    "rms_ds = np.linalg.norm(grad_ds_tmm - grad_ds_fdtd) / np.linalg.norm(grad_ds_tmm)\n",
-    "\n",
-    "print(f\"RMS error = {rms_eps * 100} %\")\n",
-    "print(f\"RMS error = {rms_ds * 100} %\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "111ef29c-a78f-468a-b2a7-afa3785ab5aa",
-   "metadata": {},
-   "source": [
-    "The gradients match to < 1% of their respective norms, which is very good agreement.\n",
-    "\n",
-    "If we only care about the error in the \"directions\" of the gradients, we can compare their normalized versions to each other."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "2993410c-0c1d-412e-9c2c-1c43664ae20c",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:09:07.643564Z",
-     "iopub.status.busy": "2023-08-17T23:09:07.642816Z",
-     "iopub.status.idle": "2023-08-17T23:09:07.699366Z",
-     "shell.execute_reply": "2023-08-17T23:09:07.698193Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "def normalize(arr):\n",
-    "    return arr / np.linalg.norm(arr)\n",
-    "\n",
-    "\n",
-    "grad_eps_tmm_norm = normalize(grad_eps_tmm)\n",
-    "grad_ds_tmm_norm = normalize(grad_ds_tmm)\n",
-    "grad_eps_fdtd_norm = normalize(grad_eps_fdtd)\n",
-    "grad_ds_fdtd_norm = normalize(grad_ds_fdtd)\n",
-    "\n",
-    "rms_eps = np.linalg.norm(grad_eps_tmm_norm - grad_eps_fdtd_norm) / np.linalg.norm(grad_eps_tmm_norm)\n",
-    "rms_ds = np.linalg.norm(grad_ds_tmm_norm - grad_ds_fdtd_norm) / np.linalg.norm(grad_ds_tmm_norm)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "8a375cb8-79ae-4b57-86bd-26af66bba8b4",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:09:07.705175Z",
-     "iopub.status.busy": "2023-08-17T23:09:07.704500Z",
-     "iopub.status.idle": "2023-08-17T23:09:07.767794Z",
-     "shell.execute_reply": "2023-08-17T23:09:07.766611Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "normalized:\n",
-      "\tgrad_eps (tmm)  = [-0.64328803  0.15644152 -0.35369102 -0.66076413]\n",
-      "\tgrad_eps (FDTD)  = [-0.64371353  0.16005639 -0.35133737 -0.66073966]\n",
-      "\tRMS error = 0.4334588353397796 %\n",
-      "--------------------------------------------------------------------------------\n",
-      "\tgrad_ds  (tmm)  = [-0.58209469 -0.08256775  0.38965379 -0.70888522]\n",
-      "\tgrad_ds  (FDTD)  = [-0.58177849 -0.08249324  0.38994818 -0.70899159]\n",
-      "\tRMS error = 0.045112778147670694 %\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(\"normalized:\")\n",
-    "print(f\"\\tgrad_eps (tmm)  = {grad_eps_tmm_norm}\")\n",
-    "print(f\"\\tgrad_eps (FDTD)  = {grad_eps_fdtd_norm}\")\n",
-    "print(f\"\\tRMS error = {rms_eps * 100} %\")\n",
-    "print(80 * \"-\")\n",
-    "print(f\"\\tgrad_ds  (tmm)  = {grad_ds_tmm_norm}\")\n",
-    "print(f\"\\tgrad_ds  (FDTD)  = {grad_ds_fdtd_norm}\")\n",
-    "print(f\"\\tRMS error = {rms_ds * 100} %\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a66dbc89-3804-4576-bf08-31421fcb2476",
-   "metadata": {},
-   "source": [
-    "In which case we see slight improvement, but the unnormalized gradients already match quite well before this."
-   ]
-  }
- ],
- "metadata": {
-  "description": "This notebook demonstrates the adjoint analysis of a multi-layer slab in Tidy3D FDTD using the adjoint plugin.",
-  "feature_image": "",
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "keywords": "adjoint optimization, Tidy3D, FDTD",
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.9"
-  },
-  "title": "Adjoint Analysis: Multi-layer Slab Using the Adjoint Plugin| Flexcompute",
-  "vscode": {
-   "interpreter": {
-    "hash": "9e43a20ef2440406ea6cbfb61ead7c471aba2de37f508addf1f0635fad81ef64"
-   }
-  },
-  "widgets": {
-   "application/vnd.jupyter.widget-state+json": {
-    "state": {
-     "12f8ed0b504a404cbd1b2950e05ba8ef": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "282a8d63ba98429f931ce53ae75949e6": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_feeee3d3c34f41b2b2ddb1514be72678",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ simulation.hdf5.gz ━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 1.4/1.4 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m1.4/1.4 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "2cdee44b941b480f8f36e5fd1ab55b29": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "311a8407bb914b45a8d5a58ef9aaadc1": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_12f8ed0b504a404cbd1b2950e05ba8ef",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
solver progress (field decay = 0.00e+00) ━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00\n
\n",
-          "text/plain": "solver progress (field decay = 0.00e+00) \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "3c5838f495014a368febb99b7b52d114": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_e8f77a092bf84fc8b7f0925585a332b5",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🏃  Starting 'slab'...\n
\n",
-          "text/plain": "\u001b[32m🏃 \u001b[0m \u001b[1;32mStarting 'slab'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "45250aafd8154f519a2f1800d412276f": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_68e844f9a2a84f00b91779b9a3f869f7",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ jax_info.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 174/174 bytes • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34mjax_info.json\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m174/174 bytes\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "58994231079549e59896cb3ff5e28ed5": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_5ceb38a1565948dca0db905f32bb657f",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🏃  Starting 'slab_adj'...\n
\n",
-          "text/plain": "\u001b[32m🏃 \u001b[0m \u001b[1;32mStarting 'slab_adj'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "5c6ae68cdbb342d9921f6ef5662ac579": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_b2c944b9195a41819323ee98ce24bcf5",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ simulation.hdf5.gz ━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 1.4/1.4 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m1.4/1.4 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "5ceb38a1565948dca0db905f32bb657f": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "5d18c826b10340cba5be5f8ff9c84246": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_2cdee44b941b480f8f36e5fd1ab55b29",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🚶  Finishing 'slab'...\n
\n",
-          "text/plain": "\u001b[32m🚶 \u001b[0m \u001b[1;32mFinishing 'slab'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "68e844f9a2a84f00b91779b9a3f869f7": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "7ecfddd6aa834b09b4ca1fce00eed16f": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "8144e366eb5d41db8491c35f50fd6987": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_7ecfddd6aa834b09b4ca1fce00eed16f",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ jax_info.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 174/174 bytes • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34mjax_info.json\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m174/174 bytes\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "82cbd5e08c46478aafa90d2df019703b": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "9405474c8af34861a54c67c5fb458402": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_de2289a46f55488bac1b8efd846b1205",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🏃  Finishing 'slab_adj'...\n
\n",
-          "text/plain": "\u001b[32m🏃 \u001b[0m \u001b[1;32mFinishing 'slab_adj'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "95b90d2c77464ed3af087632f97cfe4e": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "aa8c754cdea6462795072b699f6a6d2f": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_95b90d2c77464ed3af087632f97cfe4e",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
solver progress (field decay = 0.00e+00) ━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00\n
\n",
-          "text/plain": "solver progress (field decay = 0.00e+00) \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "b2c944b9195a41819323ee98ce24bcf5": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "c0433262460d44e3920029c59d404c70": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_82cbd5e08c46478aafa90d2df019703b",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 31.0/31.0 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m31.0/31.0 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "d335af0c94a44bb5a473ea14f619edd8": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "de2289a46f55488bac1b8efd846b1205": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "e8e53f3f14304b9e88884c8a249e1f08": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_d335af0c94a44bb5a473ea14f619edd8",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↓ jax_sim_vjp.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 6.2/6.2 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mjax_sim_vjp.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m6.2/6.2 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "e8f77a092bf84fc8b7f0925585a332b5": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "feeee3d3c34f41b2b2ddb1514be72678": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     }
-    },
-    "version_major": 2,
-    "version_minor": 0
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/AdjointPlugin3InverseDesign.ipynb b/AdjointPlugin3InverseDesign.ipynb
deleted file mode 100644
index 9167a54e..00000000
--- a/AdjointPlugin3InverseDesign.ipynb
+++ /dev/null
@@ -1,3808 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "23bc2ee3-b625-4b4c-9c87-23dc715ad733",
-   "metadata": {},
-   "source": [
-    "# Inverse design optimization of a mode converter\n",
-    "\n",
-    "> Note: Tidy3D now supports automatic differentiation natively through `autograd`. The `jax`-based `adjoint` plugin will be deprecated from 2.7 onwards. To see this notebook implemented in the new feature, see [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd3InverseDesign/).\n",
-    "\n",
-    "> To install the `jax` module required for this feature, we recommend running `pip install \"tidy3d[jax]\"`.\n",
-    "\n",
-    "In this notebook, we will use inverse design and the Tidy3D `adjoint` plugin to create an integrated photonics component to convert a fundamental waveguide mode to a higher order mode."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "7257472c-5db1-4b93-8cdb-24b3cc32775d",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "from typing import List\n",
-    "\n",
-    "# import jax to be able to use automatic differentiation\n",
-    "import jax.numpy as jnp\n",
-    "import matplotlib.pylab as plt\n",
-    "import numpy as np\n",
-    "\n",
-    "# import regular tidy3d\n",
-    "import tidy3d as td\n",
-    "import tidy3d.web as web\n",
-    "from jax import value_and_grad\n",
-    "\n",
-    "# import the components we need from the adjoint plugin\n",
-    "from tidy3d.plugins.adjoint import (\n",
-    "    JaxBox,\n",
-    "    JaxCustomMedium,\n",
-    "    JaxDataArray,\n",
-    "    JaxPermittivityDataset,\n",
-    "    JaxSimulation,\n",
-    "    JaxSimulationData,\n",
-    "    JaxStructure,\n",
-    "    JaxStructureStaticGeometry,\n",
-    ")\n",
-    "from tidy3d.plugins.adjoint.web import run\n",
-    "from tidy3d.plugins.mode import ModeSolver\n",
-    "\n",
-    "# set random seed to get same results\n",
-    "np.random.seed(2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "718337a6-e356-4810-8836-48ada41f31d2",
-   "metadata": {},
-   "source": [
-    "## Setup\n",
-    "\n",
-    "We wish to recreate a device like the diagram below:\n",
-    "\n",
-    "\"Schematic\n",
-    "\n",
-    "A mode source is injected into a waveguide on the left-hand side. The light propagates through a rectangular region with pixellated permittivity with the value of each pixel independently tunable between 1 (vacuum) and some maximum permittivity. Finally, we measure the transmission of the light into a waveguide on the right-hand side.\n",
-    "\n",
-    "The goal of the inverse design exercise is to find the best distribution of permittivities ($\\epsilon_{ij}$) in the coupling region to maximize the power conversion between the input mode and the output mode.\n",
-    "\n",
-    "We also apply our built-in smoothening and binarization filters to ensure that the final device has smooth features, and permittivity values that are all either 1, or the maximum permittivity of the waveguide material.\n",
-    "\n",
-    "### Parameters\n",
-    "\n",
-    "First we will define some parameters. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "b2c592b4-c210-46e3-94c2-d6a9bfb3ca73",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# wavelength and frequency\n",
-    "wavelength = 1.0\n",
-    "freq0 = td.C_0 / wavelength\n",
-    "k0 = 2 * np.pi * freq0 / td.C_0\n",
-    "\n",
-    "# resolution control\n",
-    "min_steps_per_wvl = 16\n",
-    "# in the design region, we set uniform grid resolution,\n",
-    "# and define the design parameters on the same grid\n",
-    "dl_design_region = 0.01\n",
-    "\n",
-    "# space between boxes and PML\n",
-    "buffer = 1.0 * wavelength\n",
-    "\n",
-    "# optimize region size\n",
-    "lz = td.inf\n",
-    "lx = 5.0\n",
-    "ly = 3.0\n",
-    "\n",
-    "# position of source and monitor (constant for all)\n",
-    "source_x = -lx / 2 - buffer * 0.8\n",
-    "meas_x = lx / 2 + buffer * 0.8\n",
-    "\n",
-    "# total size\n",
-    "Lx = lx + 2 * buffer\n",
-    "Ly = ly + 2 * buffer\n",
-    "Lz = 0\n",
-    "\n",
-    "# permittivity and width of the input/output waveguide\n",
-    "eps_wg = 2.75\n",
-    "wg_width = 0.7\n",
-    "\n",
-    "# random starting parameters between 0 and 1\n",
-    "nx = int(lx / dl_design_region)\n",
-    "ny = int(ly / dl_design_region)\n",
-    "params0 = np.random.random((nx, ny))\n",
-    "\n",
-    "# frequency width and run time\n",
-    "freqw = freq0 / 10\n",
-    "run_time = 50 / freqw"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ac035f60-95f7-4f99-989d-67855acd5b15",
-   "metadata": {},
-   "source": [
-    "### Static Components\n",
-    "\n",
-    "Next, we will set up the static parts of the geometry, the input source, and the output monitor using these parameters."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "9aa55de4-f748-4939-8b26-9098bb573653",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "waveguide = td.Structure(\n",
-    "    geometry=td.Box(size=(2 * Lx, wg_width, lz)), medium=td.Medium(permittivity=eps_wg)\n",
-    ")\n",
-    "\n",
-    "mode_size = (0, wg_width * 3, lz)\n",
-    "\n",
-    "source_plane = td.Box(\n",
-    "    center=[source_x, 0, 0],\n",
-    "    size=mode_size,\n",
-    ")\n",
-    "\n",
-    "measure_plane = td.Box(\n",
-    "    center=[meas_x, 0, 0],\n",
-    "    size=mode_size,\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "afe16823-2271-4773-b0e3-a5ce3788ecae",
-   "metadata": {},
-   "source": [
-    "### Input Structures\n",
-    "\n",
-    "Next, we write a function to return the pixellated array given our flattened tuple of permittivity values $\\epsilon_{ij}$ using [JaxCustomMedium](../api/_autosummary/tidy3d.plugins.adjoint.JaxCustomMedium.html).\n",
-    "\n",
-    "We start with an array of parameters between 0 and 1, apply a [ConicFilter](../api/_autosummary/tidy3d.plugins.adjoint.utils.filter.ConicFilter.html) and a [BinaryProjector](../api/_autosummary/tidy3d.plugins.adjoint.utils.filter.BinaryProjector.html) to create smooth, binarized features.\n",
-    "\n",
-    "The `JaxStructureStaticGeometry` allows for including a `jax`-compatible medium and a non-differentiable Tidy3D geometry."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "2d3e00d9-35f1-4e83-807c-66102b96ed5a",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "from tidy3d.plugins.adjoint.utils.filter import BinaryProjector, ConicFilter\n",
-    "\n",
-    "radius = 0.120\n",
-    "beta = 50\n",
-    "\n",
-    "conic_filter = ConicFilter(radius=radius, design_region_dl=float(lx) / nx)\n",
-    "\n",
-    "\n",
-    "def filter_project(params, beta, eta=0.5):\n",
-    "    \"\"\"Apply conic filter and binarization to the raw params.\"\"\"\n",
-    "    params_smooth = conic_filter.evaluate(params)\n",
-    "    binary_projector = BinaryProjector(vmin=0, vmax=1, beta=beta, eta=eta)\n",
-    "    params_smooth_binarized = binary_projector.evaluate(params_smooth)\n",
-    "    return params_smooth_binarized\n",
-    "\n",
-    "\n",
-    "def get_eps(params, beta):\n",
-    "    \"\"\"Get the permittivity values (1, eps_wg) array as a function of the parameters (0, 1)\"\"\"\n",
-    "    processed_params = filter_project(params, beta)\n",
-    "    return 1 + processed_params * (eps_wg - 1)\n",
-    "\n",
-    "\n",
-    "def make_input_structures(params, beta) -> List[JaxStructure]:\n",
-    "    x0_min = -lx / 2 + dl_design_region / 2\n",
-    "    y0_min = -ly / 2 + dl_design_region / 2\n",
-    "\n",
-    "    coords_x = [x0_min + dl_design_region * ix for ix in range(nx)]\n",
-    "    coords_y = [y0_min + dl_design_region * iy for iy in range(ny)]\n",
-    "\n",
-    "    coords = dict(x=coords_x, y=coords_y, z=[0], f=[freq0])\n",
-    "\n",
-    "    eps = get_eps(params, beta=beta).reshape((nx, ny, 1, 1))\n",
-    "\n",
-    "    field_components = {f\"eps_{dim}{dim}\": JaxDataArray(values=eps, coords=coords) for dim in \"xyz\"}\n",
-    "    eps_dataset = JaxPermittivityDataset(**field_components)\n",
-    "    custom_medium = JaxCustomMedium(eps_dataset=eps_dataset)\n",
-    "    box = td.Box(center=(0, 0, 0), size=(lx, ly, lz))\n",
-    "    custom_structure = JaxStructureStaticGeometry(geometry=box, medium=custom_medium)\n",
-    "    return [custom_structure]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "75983c02-ca0f-4dcb-9c51-04ce9b5ac7ed",
-   "metadata": {},
-   "source": [
-    "### Jax Simulation\n",
-    "Next, we write a function to return a basic `JaxSimulation` as a function of our parameter values.\n",
-    "\n",
-    "We make sure to add the pixellated `JaxStructure` list to `input_structures` but leave out the sources and monitors for now as we'll want to add those after the mode solver is run so we can inspect them."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "3b09827b-a607-4631-977d-466f732e1d90",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "def make_sim_base(params, beta) -> JaxSimulation:\n",
-    "    input_structures = make_input_structures(params, beta=beta)\n",
-    "    design_region_mesh = td.MeshOverrideStructure(\n",
-    "        geometry=td.Box(size=(lx, ly, lz)),\n",
-    "        dl=[dl_design_region] * 3,\n",
-    "        enforce=True,\n",
-    "    )\n",
-    "    grid_spec = td.GridSpec.auto(\n",
-    "        wavelength=wavelength,\n",
-    "        min_steps_per_wvl=16,\n",
-    "        override_structures=[design_region_mesh],\n",
-    "    )\n",
-    "\n",
-    "    return JaxSimulation(\n",
-    "        size=[Lx, Ly, Lz],\n",
-    "        grid_spec=grid_spec,\n",
-    "        structures=[waveguide],\n",
-    "        input_structures=input_structures,\n",
-    "        sources=[],\n",
-    "        monitors=[],\n",
-    "        output_monitors=[],\n",
-    "        run_time=run_time,\n",
-    "        boundary_spec=td.BoundarySpec.pml(x=True, y=True, z=False),\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2e7cd9e9-a41a-4353-a0ee-cec464bc2f2d",
-   "metadata": {},
-   "source": [
-    "### Visualize\n",
-    "Let's visualize the simulation to see how it looks"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "ae07fed6-c0e4-415a-8a55-58f1b02bd311",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "WARNING:jax._src.xla_bridge:An NVIDIA GPU may be present on this machine, but a CUDA-enabled jaxlib is not installed. Falling back to cpu.\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnMAAAHWCAYAAAAciQ/OAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/OQEPoAAAACXBIWXMAAA9hAAAPYQGoP6dpAADOOElEQVR4nOy9e5hcVZX3/63q6qpO+pZOdwKJCRBAReU6XBRQCRpBBlHGAa8jFxEFA8owoxLHlwAq0fH+CgSvxFEQBAdwBIFwCREVFSTzchEUARNCAulOp6u7Q9f1/P7o367avXqtfc6pOlVdlVqf56mnbvvsvfZe++z9Peucs0/M8zwPiqIoiqIoSlMSn2kDFEVRFEVRlMpRMacoiqIoitLEqJhTFEVRFEVpYlTMKYqiKIqiNDEq5hRFURRFUZoYFXOKoiiKoihNjIo5RVEURVGUJkbFnKIoiqIoShOjYk5RFEVRFKWJUTGnKErNWLduHWKxGNatWzfTpiiKouyyqJhTFKVqrrrqKqxZs2amzaiI6667Dt/85jdn2gwAQLFYxH/+539iyZIl6OjowIEHHoif/vSngbffsWMHPvrRj2LevHno7OzEscceiz/96U9s2l/84hf4h3/4B3R0dGCPPfbAypUrkc/no6qKoih1JKbPZlUUpVr2339/DAwMTIvAFYtFZLNZJJNJxOONeez4jne8A4899hiee+65mTYFK1aswJe+9CWcffbZOPzww3Hrrbfitttuw09/+lO8733vc25bLBbxpje9Cf/7v/+LT33qUxgYGMBVV12FTZs24eGHH8YrX/nKUtpf/epXOPHEE7F06VK8//3vx6OPPoorr7wSH/3oR7F69epaV1NRlIhRMacoETE+Po7Ozs6ZNmNGkMRcM9AoYm7z5s1YsmQJPvrRj+KKK64AAHieh2OOOQbPPvssnnvuObS1tYnb/+xnP8N73/te3HjjjTjllFMAANu2bcOrXvUqnHDCCbjuuutKaV/3utehvb0dDz30EBKJBADgc5/7HC6//HI88cQT2G+//WpYU0VRoqYxD5UVZYbZvHkzzjrrLCxcuBCpVApLlizBueeei2w2CwBYs2YNYrEY7r//fnz84x/H/PnzsWjRotL2V111FV73utchlUph4cKFWL58OXbs2DGljL/+9a/453/+Z+y+++7o6OjAokWL8L73vQ8jIyOlNGvXrsUb3/hGzJkzB11dXXj1q1+Nz372s772B9kuk8lg5cqV2HfffZFKpbB48WJ8+tOfRiaTmZbfT37yExxxxBGYPXs2+vr68OY3vxl33XUXAGCvvfbC448/jvvvvx+xWAyxWAxLly4FIF8zd+ONN+LQQw/FrFmzMDAwgH/5l3/B5s2bp6Q544wz0NXVhc2bN+Pkk09GV1cX5s2bh3//939HoVDwbYNbb70VJ554YsmH++yzDz7/+c9P2Xbp0qW47bbb8Pe//71k+1577SXmecYZZ5TS0dcll1zia5OfvblcDh//+MdLv8ViMZx77rl4/vnn8bvf/c65/U033YTddtsN7373u0u/zZs3D+95z3tw6623lvz6xBNP4IknnsBHP/rRkpADgI9//OPwPA833XRTVfVQFKX+JPyTKEpr8cILL+CII44oXX+03377YfPmzbjpppuwc+dOJJPJUtqPf/zjmDdvHi6++GKMj48DAC655BJceumlWLZsGc4991w89dRTWL16Nf74xz/iN7/5Ddrb25HNZnH88ccjk8ng/PPPx+67747Nmzfjl7/8JXbs2IHe3l48/vjjeMc73oEDDzwQl112GVKpFJ5++mn85je/cdofZLtisYh3vvOdeOCBB/DRj34Ur3nNa/Doo4/iG9/4Bv7yl7/glltuKaW99NJLcckll+Coo47CZZddhmQyid///ve49957cdxxx+Gb3/wmzj//fHR1deE//uM/AAC77babaN+aNWtw5pln4vDDD8eqVavw4osv4lvf+hZ+85vf4JFHHsGcOXNKaQuFAo4//ni8/vWvx1e/+lXcfffd+NrXvoZ99tkH5557rrMd1qxZg66uLlx44YXo6urCvffei4svvhjpdBpf+cpXAAD/8R//gZGRETz//PP4xje+AQDo6uoS8/zYxz6GZcuWTfntjjvuwLXXXov58+eXfhscHHTaZuju7kYqlQIAPPLII+js7MRrXvOaKWmOOOKI0v9vfOMbxbweeeQR/MM//MO009lHHHEEvvvd7+Ivf/kLDjjgADzyyCMAgMMOO2xKuoULF2LRokWl/xVFaSI8RVGmcNppp3nxeNz74x//OO2/YrHoeZ7nXXPNNR4A741vfKOXz+dL/7/00kteMpn0jjvuOK9QKJR+v+KKKzwA3g9/+EPP8zzvkUce8QB4N954o2jHN77xDQ+At23btlD2B9nuxz/+sRePx71f//rXU36/+uqrPQDeb37zG8/zPO+vf/2rF4/HvX/6p3+aUh/PK7eF53ne6173Ou+YY46ZVs59993nAfDuu+8+z/M8L5vNevPnz/f2339/7+WXXy6l++Uvf+kB8C6++OLSb6effroHwLvsssum5HnIIYd4hx56qLsRPM/buXPntN8+9rGPebNnz/YmJiZKv5144onennvu6Zsfx1//+levt7fXe9vb3jalHwAI9Lrmmmum2LH33ntPK2N8fNwD4F100UVOWzo7O70Pf/jD036/7bbbPADeHXfc4Xme533lK1/xAHgbN26clvbwww/33vCGNwStvqIoDYKeZlUUi2KxiFtuuQUnnXTStMgFMHnay+bss8+ech3T3XffjWw2iwsuuGBKhOTss89GT08PbrvtNgBAb28vAODOO+/Ezp07WVtMhOrWW29FsVgMXIcg29144414zWteg/322w+Dg4Ol11ve8hYAwH333QcAuOWWW1AsFnHxxRdPi/jQtgjCQw89hJdeegkf//jH0dHRUfr9xBNPxH777VdqH5tzzjlnyvc3velNeOaZZ3zLmjVrVunz6OgoBgcH8aY3vQk7d+7Ek08+Gdp2yvj4OP7pn/4JfX19+OlPfzqlH6xduzbQ6/jjjy9t8/LLL5eidDamnV5++WWnPUG3N+9SWr9yFEVpPPQ0q6JYbNu2Del0Gvvvv3+g9EuWLJny/e9//zsA4NWvfvWU35PJJPbee+/S/0uWLMGFF16Ir3/967j22mvxpje9Ce985zvxL//yLyWh9973vhff//738ZGPfAQXXXQR3vrWt+Ld7343TjnlFOedoUG2++tf/4o///nPmDdvHpvHSy+9BAD429/+hng8jte+9rWB2sMPqX0AYL/99sMDDzww5beOjo5pNvb19WF4eNi3rMcffxyf+9zncO+99yKdTk/5z74usVLOPvts/O1vf8Nvf/tb9Pf3T/mPnooNwqxZs9jrFScmJkr/R7G9eZfS+pWjKErjoWJOUaqgmonva1/7Gs444wzceuutuOuuu/CJT3wCq1atwoMPPohFixZh1qxZWL9+Pe677z7cdtttuOOOO3DDDTfgLW95C+666y7xzsYg2xWLRRxwwAH4+te/zuaxePHiiusVJa67N13s2LEDxxxzDHp6enDZZZdhn332QUdHB/70pz/hM5/5TKhIJ8e3vvUt/PSnP8VPfvITHHzwwdP+37p1a6B8ent7S31owYIFuO++++B53pSo55YtWwBMXtPmYsGCBaW0NnT7BQsWlH6nft6yZUvpGj1FUZoHPc2qKBbz5s1DT08PHnvssYq233PPPQEATz311JTfs9ksnn322dL/hgMOOACf+9znsH79evz617/G5s2bcfXVV5f+j8fjeOtb34qvf/3reOKJJ/DFL34R9957b+k0qITfdvvssw+2b9+Ot771rVi2bNm0l4mc7bPPPigWi3jiiSec5QU95Sq1j/mNtk+lrFu3DkNDQ1izZg0++clP4h3veAeWLVuGvr6+aWnDni7+9a9/jX//93/HBRdcgA9+8INsmgULFgR63XDDDaVtDj74YOzcuRN//vOfp+T1+9//vvS/i4MPPhh/+tOfpgnV3//+95g9ezZe9apXTcnnoYcempLuhRdewPPPP+9bjqIojYeKOUWxiMfjOPnkk/E///M/0yY7YHLdLxfLli1DMpnE//2//3dK2h/84AcYGRnBiSeeCABIp9PTVts/4IADEI/HS6e/tm/fPi1/M9Fyp8gMQbZ7z3veg82bN+N73/vetLQvv/xy6c7ck08+GfF4HJdddtk0kWDXr7Ozc9rSKxyHHXYY5s+fj6uvvnpKHX71q1/hz3/+c6l9qsVE9Gwbs9ksrrrqqmlpOzs7A5923bJlC97znvfgjW98Y+mOWI5Krpl717vehfb29ik2ep6Hq6++Gq94xStw1FFHTbHjySefRC6XK/12yimn4MUXX8R///d/l34bHBzEjTfeiJNOOql0jdzrXvc67Lfffvjud787ZZmW1atXIxaLldaoUxSledDTrIpCuPzyy3HXXXfhmGOOKS3bsWXLFtx444144IEHpiydQZk3bx5WrFiBSy+9FG9/+9vxzne+E0899RSuuuoqHH744fiXf/kXAMC9996L8847D6eeeipe9apXIZ/P48c//jHa2trwz//8zwCAyy67DOvXr8eJJ56IPffcEy+99BKuuuoqLFq0yLlERZDtPvShD+FnP/sZzjnnHNx33304+uijUSgU8OSTT+JnP/sZ7rzzThx22GHYd9998R//8R/4/Oc/jze96U1497vfjVQqhT/+8Y9YuHAhVq1aBQA49NBDsXr1anzhC1/Avvvui/nz55duprBpb2/Hl7/8ZZx55pk45phj8P73v7+0NMlee+2Ff/3Xf63UbVM46qij0NfXh9NPPx2f+MQnEIvF8OMf/5gV44ceeihuuOEGXHjhhTj88MPR1dWFk046ic33E5/4BLZt24ZPf/rTuP7666f8d+CBB+LAAw8EUNk1c4sWLcIFF1yAr3zlK8jlcjj88MNxyy234Ne//jWuvfbaKaecV6xYgR/96Ed49tlnS+vinXLKKXjDG96AM888E0888UTpCRCFQgGXXnrplLK+8pWv4J3vfCeOO+44vO9978Njjz2GK664Ah/5yEemLY2iKEoTMIN30ipKw/L3v//dO+2007x58+Z5qVTK23vvvb3ly5d7mUzG87zy0iTc8iWeN7kUyX777ee1t7d7u+22m3fuued6w8PDpf+feeYZ78Mf/rC3zz77eB0dHd7cuXO9Y4891rv77rtLae655x7vXe96l7dw4UIvmUx6Cxcu9N7//vd7f/nLX5y2B90um816X/7yl73Xve51XiqV8vr6+rxDDz3Uu/TSS72RkZEpaX/4wx96hxxySCndMccc461du7b0/9atW70TTzzR6+7u9gCUlimhS5MYbrjhhlJ+c+fO9T74wQ96zz///JQ0p59+utfZ2TmtfitXrvSCDF2/+c1vvDe84Q3erFmzvIULF3qf/vSnvTvvvHOaPWNjY94HPvABb86cOR4A5zIlxxxzjLjMyMqVK31t8qNQKHiXX365t+eee3rJZNJ73ete5/3kJz+Zls4s2/Lss89O+X379u3eWWed5fX393uzZ8/2jjnmGLGP3nzzzd7BBx/spVIpb9GiRd7nPvc5L5vNVl0HRVHqjz7OS1EURVEUpYnRa+YURVEURVGaGBVziqIoiqIoTYyKOUVRFEVRlCZGxZyiKIqiKEoTo2JOURRFURSliVExpyiKoiiK0sS01KLBxWIRL7zwArq7u0M/wkdRFEVRlMknk4yOjmLhwoWIx8PHhCYmJpDNZmtg2STJZBIdHR01y78RaSkx98ILL+Db3/42EolytWOx2JTO6Hle1Q/htvMaHh72fQQUMNn5jB3FYrGmHV0ikUhMaZtMJhPI9iiJxWKlxw4BQD6fn/bYq3qg/phE/VFG/VFG/TFJI/kjkUigs7MTsVhsymPaasXll1+OTZs2YdGiRaG2m5iYwKxZs2pk1SS77747nn322ZYSdC0l5rq7u5FIJDB79uwpAs4eiNrb2yOL2nmeh7322mvKY3gkstls6fmQvb29SCaTkdgQhmKxiKGhIQCTg0Nvb2/dbQCAkZGRkk/6+/srOvKrFvVHGfXHJOqPMuqPMo3ijx07diCbzaKtrS3QnFMNJuDR3d0dett6CP+tW7cim82qmNtVMSItHo+jvb0dQPnB4/F4HJ7noVAoIJVKVb1DFotFFItFpFIp34HO7IjmaGXnzp2YPXt2XQdIMzC2t7cjlUphYmIChUKhop21GkZHR1EsFtHV1YVMJoOXX3657gOk+qOM+mMS9UcZ9UeZRvJHKpVCPp9HoVCYFrWMmlwuBwBVBz5qcblTqz7UqqVvgMhkMsjn80gkEpg1axaSySQ8z0Mmk4nsVKsf2WwWg4ODaG9vx8DAAAYGBtDe3o7BwcG6nbowA2Mul8PAwAD6+/vR09ODdDqN0dHRutgATA6M6XQaPT096O/vx8DAAHK5HIaGhtQf6g/1h/oDgPrDxvZHX18f2traEIvFkM1mZ+R0bxhisVjNXq1Iy4o5W8iZax4SiURdBZ29I5qjuXg8jv7+/roNkHRgNEfX3d3ddR0g7YHRHF0nk8m6DpDqjzLqj0nUH2XUH2Ua2R+pVKppBJ0SHS0p5sxFqraQM9RL0HE7oqFeA6Q0MBrqNUByA6OhXgOk+qOM+mMS9UcZ9UeZRveHuSmj0QWdRuaipeXEXDweR7FYZIWcodaCzrUj2nbWcoD0GxgNtR4gXQOjodYDpPqjjPpjEvVHGfVHmWbyRy0FXRTXpamYi5aWE3NmKRJJyBlqJeiC7IiGWg2QQQdGQ60GyCADo6FWA6T6o4z6YxL1Rxn1R5lm9EctBF2xWCzdAKE0Di0n5jzPC3yXT9SCLsyOaIh6gAw7MBqiHiDDDIyGqAdI9UcZ9cck6o8y6o8yzeyPKAVdsVgsrQBRLRqZi5aWE3Nhd6ioBF0lO6IhqgGy0oHRENUAWcnAaIhqgFR/lFF/TKL+KKP+KLMr+CMKQWeEXJiAiAsVc9HScmKuEqoVdNXsiIZqB8hqB0ZDtQNkNQOjodoBUv1RRv0xifqjjPqjzK7kj2oEnS3k7Kd/KI1D03hk9erVOPDAA9HT04Oenh4ceeSR+NWvflW38isVdLlcruod0VDpABnVwGiodICMYmA0VDpARjEwGtQfZdQfZdQfk6g/yjSKPyoRdFTIRbUYsUbmoqVpxNyiRYvwpS99CQ8//DAeeughvOUtb8G73vUuPP7443WzIaygKxaLGB4ejmRHNIQdIKMeGA1hB8goB0ZD2AEyyoHRoP4oo/4oo/6YRP1RplH8EUbQ1UrIASrmoqZpxNxJJ52Ef/zHf8QrX/lKvOpVr8IXv/hFdHV14cEHH6yrHUEFXaFQKK1lF/XjXYIOkLUaGA1BB8haDIyGoANkLQZGg/qjjPqjjPpjEvVHmUbxRxBBV0shp0RP04g5m0KhgOuvvx7j4+M48sgjxXSZTAbpdHrKKwr8BF0+n0c2m0UsFsOcOXNqcn2B3wBZ64HR4DdA1nJgNPgNkLUcGA3qjzLqjzLqj0nUH2UaxR8uQVcPIaeRuWhpKjH36KOPoqurC6lUCueccw5uvvlmvPa1rxXTr1q1Cr29vaXX4sWLI7NFEnS2kGtra6vphaLSAFmvgdEgDZD1GBgN0gBZj4HRoP4oo/4oo/6YRP1RplH8wQm6ekXkVMxFS8yLYinnOpHNZrFx40aMjIzgpptuwve//33cf//9oqDLZDJT1sRJp9NYvXo1urq60N7eHolNtnhrb28vfTZCb8GCBTUfnOzBsL+/H+l0um4Do409GAKo28BoYw+GPT09GBoaqsvAaKP+KKP+KKP+mET9USZKf2SzWWzZsqX0jNagUPGWy+V8hVwul8NnP/tZjIyMlNovKOl0Gr29vZg1a1ZNhJfneXj55Zcrsq2ZaSoxR1m2bBn22WcffOc73wmUPp1O48tf/nKkYg6YFHRGNMZiMXR0dACY3EnqIeZMWYODg6WVuefNm1fXgdFgBkgAdR8YDdlsFtu2bQMAtLe3Y2BgoO630qs/yqg/yqg/JlF/lInKH5WKOWDSHxMTE6XHdKVSKWdELgoxN3v27JqJuZ07d7acmGvqKxqjXI1aURRFUZT60MqnRGtB01wzt2LFCqxfvx7PPfccHn30UaxYsQLr1q3DBz/4wRm1y5xmtZ/3akLW9cKctsjn86VTFbV42LUf9mmLWj7s2oU5bWGuScnn8zV52LUL9UcZ9UcZ9cck6o8yjeIPExRJpVKIx+ORPstVqQ9NI+ZeeuklnHbaaXj1q1+Nt771rfjjH/+IO++8E29729tmzCb7ejkTlo7yWa5BoBcPp1Kpmjzs2g968XCtHnbtgl48nEqlavKwaxfqjzLqjzLqj0nUH2UaxR/0Zocon+XqQm+AiJamEXM/+MEP8NxzzyGTyeCll17C3Xff3VBCzlyjYAu6QqFQ0x1Sugss6odd+yHdBVbPAVK6Cyzqh127UH+UUX+UUX9Mov4o0yj+4O5ajepZrn6omIuWphFzjYQk5Ay2oNuxY0dNdki/2/nrNUD63c5fjwHS73b+egyQ6o8y6o8y6o9J1B9lGsUfruVH6iXolOhQMRcSPyFnaGtrQyKRqMk1EEHXZar1ABl0XaZaDpBB12Wq5QCp/iij/iij/phE/VGmUfwRZB25Wgs6jcxFi4q5EAQVcoZ4PI6+vr5Id8iwC2zWaoAMu8BmLQbIsAts1mKAVH+UUX+UUX9Mov4o0yj+CLMgcC0FnYq5aFExF5CwQs5g1g2KYoesdKX0qAfISldKj3KArHSl9CgHSPVHGfVHGfXHJOqPMo3ij0qe7KCnXJsDFXMBqFTIGaLYIat95E1UA2S1j7yJYoCs9pE36o8y6o9J1B9l1B9ldiV/VPOILirooogSamQuWlpOzIXdkaoVcoZqdsionl1Y7QAZ1bMLqxkgo3p2ofqjjPpjEvVHGfVHmV3BH1E8a9UWdFFE51TMRUvLibkwHTEqIWeoZIeM+iHUlQ6QUT+EupIBMuqHUKs/yqg/JlF/lFF/lGlmf0Qh5Az24vhKY9FyYs7zvECPAYtayBnC7JBRD4yGsANk1AOjIcwAGfXAaFB/lFF/TKL+KKP+KNOM/ohSyBni8Xhkzzaf6ajcqlWrcPjhh6O7uxvz58/HySefjKeeesp3ux07dmD58uVYsGABUqkUXvWqV+H222+vtBkioeXEXLFYRDweRz6fFwVdrYScIcgOWauB0RB0gKzVwGgIMkDWamA0qD/KqD8mUX+UUX+UaSZ/1ELIGaI4ldkIp1nvv/9+LF++HA8++CDWrl2LXC6H4447DuPj4+I22WwWb3vb2/Dcc8/hpptuwlNPPYXvfe97eMUrXlF1m1RDtB5uEhKJBIrFYul0qx02rrWQM5gdcnBwEENDQ1N2+loPjAYzQA4NDWFwcHBaWbUeGA0m73Q6PeU7UPuB0aD+KKP+mET9UUb9UaZR/WHwPA/ZbLZmQm5X4o477pjyfc2aNZg/fz4efvhhvPnNb2a3+eEPf4jt27fjt7/9bSlCuddee9XaVF9aLjJnMM9StSN09RJyBu4Iq14Do0E64q3XwGjgjnjrNTAa1B9l1B+TqD/KqD/KNLI/ahmRi5JaR+bS6fSUl9+lVQAwMjICAJg7d66Y5he/+AWOPPJILF++HLvtthv2339/XH755SgUCtE0TIU0rqfrgInI5fN5FItFeJ5XNyFnsI+wBgcHS/bUY2A00CPeVCqFiYmJug2MBvuIN5vNIpPJ1G1gNKg/yqg/JlF/lFF/lGk0fwwPD6NQKMDzvFKwopGp1Z2nJs/FixdP+X3lypW45JJLxO2KxSIuuOACHH300dh///3FdM888wzuvfdefPCDH8Ttt9+Op59+Gh//+MeRy+WwcuXKSOpQCY3t7TqQSqVKRzQA0NHRUbcd0ZBMJtHf318aHOs5MBrMALllyxZMTEygo6OjrgOjobu7G9lsFhMTEwBQ14HRoP4oo/6YRP1RRv1RppH88dJLL8HzPLS3tze8kKsHmzZtQk9PT+m73124y5cvx2OPPYYHHnjAma5YLGL+/Pn47ne/i7a2Nhx66KHYvHkzvvKVr8yomGvZ06yGfD4Pz/NK33O5XN1tKBaLpesvgMkjvVo8XNkP+6LPTCZTs4dduzBHuJxN9UL9UUb9UUb9MYn6o0wj+sOcaWp0an2ataenZ8rLJebOO+88/PKXv8R9992HRYsWOe1esGABXvWqV6Gtra3022te8xps3bp1RvqgoaXFnH2N3KxZs6ZdQ1cP7GtO5s2bh3nz5tXk4cp+2NecLFiwoGYPu3ZhX3OyYMGCmj3s2oX6o4z6o4z6YxL1R5lG88fcuXORSCTgeR4ymUzDC7pGuJvV8zycd955uPnmm3HvvfdiyZIlvtscffTRePrpp6e071/+8hcsWLCg7hFqm5YVc9zNDtxNEbWEu3i4Fg9X9oNePFyrh1274C4ersXDrl2oP8qoP8qoPyZRf5RpRH+0t7cjHo8jmUw2jaCbaZYvX46f/OQnuO6669Dd3Y2tW7di69atePnll0tpTjvtNKxYsaL0/dxzz8X27dvxyU9+En/5y19w22234fLLL8fy5ctnogolWlLMFYtF8a7Vegk6111g9RwgpbvA6jlAuu4Cq9cAqf4oo/4oo/6YRP1RptH90dbW1hSCrhEic6tXr8bIyAiWLl2KBQsWlF433HBDKc3GjRuxZcuW0vfFixfjzjvvxB//+EcceOCB+MQnPoFPfvKTuOiiiyJtn7C03FWSsdjk47xMJI67WNW+y9X+HhVBbud3resUFX638/ut6xQFQW7nd63rFAXqjzLqjzLqj0nUH2WaxR/mBghzTV89V2gISq3vZg2Cfb28xLp166b9duSRR+LBBx8MY1bNaSzv1gHTof06d60idGHWZarlEW/QdZlqecQbZl2mWh3xqj/KqD/KqD8mUX+UaTZ/JBKJmkXogj7fXKkfLSfmAJSuLfAjakFXyQKbtRggwy6wWYsBspIFNqMeINUfZdQfZdQfk6g/yjSrP2oh6KLKpxFOs+5KtJyYKxQKoZwdlaCrZqX0KAfISldKj3KArGal9KgGSPVHGfVHGfXHJOqPMs3ujygFXSaTKV2mVC0q5qKl5cRcJVQr6KJ45E0UA2S1j7yJYoCM4pE31Q6Q6o8y6o8y6o9J1B9ldhV/RCHojJBLJBK6KHED0pIe8TwvdGdub2+H53mlRYb9dijzeLBMJoPt27cjn8+jr68PAKo6Suzt7cXw8DBeeukl9PX1BT4KGR8fx9jYGLq6upBKpaqyoaenZ4oN5mHDfuRyOQwPDyORSKCnp6eq6y5SqRRmz56NHTt2IJ/Po7OzM9B2nudheHhY/QH1h436YxL1R5lm80cul3PObfF4HO3t7aUnViSTycDiNJvNolAooK2tDe3t7ZFcM9cIN0DsSrScmDN3r1RyZGKORszSJq6jE/OIsJ07dyIej6OrqwuFQiGSh/F2dXUhm80inU4jmUz6dt58Po9cLofOzk60tbWVHj1TDbNmzUI2m8X4+HigQcG0WSqVQjKZjOQaxLa2NnR2diKbzcLzPN+jRc/zkM1m1R9Qf9ioPyZRf5RpRn+YJz+42jcWi5XEWC6XQyKRCOSPYrGItrY2JBKJyG6kUDEXLS0n5nbs2IE999wTHR0dFedhHzVKR1jZbBZjY2N417vehd7e3orLUhRFURQ/RkZGcPvttyOVSvlGH+2ooytiKs11UQhsJVpaTswVi8XS9QOVkkwmkUgkkE6nkUgkpl3PUSwWsX37dsTjcfT29mLu3LnVmq0oiqIoThKJBNrb233nt2QyWbqWMJ1Os9cDjo6OYufOnZgzZ860OU5PszYeegNEhUgXtZqLVfP5/Iw+p01RFEVRJFw3qVR780kQ9G7WaFExVwVU0Nl3HfX19TXcituKoiiKYuAEXT2EnBI9LXeaNWrsR7ek02nEYjEMDAwAQCQXDyuKoihKrbAfxWaeQVoPIaenWaNFQ0cRYF8Yau5+UhRFUZRmIJlMTnkGedClU6pBT7NGi4q5KjGnVmOxGDo6OjAxMRHps/gURVEUpZaMjo5iYmICHR0diMVikT9bV6k9epq1CriVuc31BrNnz0ZbW9tMm6goiqIoIvQaOfPUi6GhoYqfehEEPc0aLRqZqxDpESvmpoixsbFIbt9WFEVRlFrA3ewQ5bN1Xehp1mhRMVcBfs/K6+7uRldXF3K53AxZqCiKoigyrrtW6yXolOhQMReSoA897uzsDPwMQEVRFEWpF0GWH6mHoNOoXHSomAtBUCFn8Hv2nqIoiqLUkzDryNVS0Olp1mhRMReQsEJOURRFURqJShYE1lOuzYGKuQCokFMURVGamWqe7FALQaeRuWhpufOAYR2tQk5RFEVpZqJ4RJf9pIgobu7TpUmipeUic6lUKvCSISrkFEVRlGYmymetGkGnj6psPFouMlcsFjEyMoKOjg6nOFMhpyiKojQzUQo5QzKZRG9vb9X5aGQuWlouMpfNZtHW1obBwUFks1k2jQo5RVEUpZmphZAzRLFSg14zFy0tJ+YAoKenB+3t7aygUyGnKIqiNDO1FHJKY9KSYi4ej6O/v3+aoFMhpyiKojQz4+PjTSHkNDIXLS0p5oDpgi6TyaiQUxRFUZqWfD6PsbGxhhdygIq5qGlZMQeUBV0ikShF6FTIKYqiKM1ILpdDV1dXwws5JXpa7m5WRVEURVFmFr2bNVpaOjJnrpHL5/OliJzrLldFURRFaVTa29sxNjaG0dHRmTbFFz3NGi1NI+ZWrVqFww8/HN3d3Zg/fz5OPvlkPPXUUxXnR292SKVS7E0RiqIoitIMJBIJdHV1IZ1ON4WgU6KjacTc/fffj+XLl+PBBx/E2rVrkcvlcNxxx2F8fDx0XtJdq9JdroqiKIrSDHR2dqKnp6fhBZ1G5qKlaa6Zu+OOO6Z8X7NmDebPn4+HH34Yb37zm0PllU6nAYC92cEIuqGhIQwODuoNEYqiKEpTYW6AMHNdI94QodfMRUvTROYoIyMjAIC5c+eKaTKZDNLp9JRXMplEoVBwijSN0CmKoijNTHd3d80idEGfb97oVHv51vXXX49YLIaTTz65dkYGpCnFXLFYxAUXXICjjz4a+++/v5hu1apV6O3tLb0WL16MeDyO3t5e32ibCjpFURSlmamFoMtms6VgSjU0wmnWai7feu655/Dv//7veNOb3lRNM0RGU4q55cuX47HHHsP111/vTLdixQqMjIyUXps2bUImkwn8XDkVdIqiKEozE6Wgy2azGBwcRFtbW9V2NYKYu+OOO3DGGWfgda97HQ466CCsWbMGGzduxMMPP+zcrlAo4IMf/CAuvfRS7L333tU2RSQ0zTVzhvPOOw+//OUvsX79eixatMiZNpVKIZVKTfnN87xQ5ek1dIqiKEozE8U1dEbItbe3Y9asWZHaVwtMXQ2cHqAEuXwLAC677DLMnz8fZ511Fn79619XZ2hENE1kzvM8nHfeebj55ptx7733YsmSJXUrWyN0iqIoSjNTTYTOFnL9/f2Ix6uXDrWOzC1evHjKZVarVq1y2hP08q0HHngAP/jBD/C9732v6jaIkqaJzC1fvhzXXXcdbr31VnR3d2Pr1q0AgN7e3rocJWiETlEURWlmKonQ1ULIAbW/m3XTpk3o6ekp/e4XlTOXbz3wwANimtHRUXzoQx/C9773PQwMDERjcEQ0jZhbvXo1AGDp0qVTfr/mmmtwxhln1MWGsIJuV7njR1EURdk1CCPoaiXk6kFPT88UMeci6OVbf/vb3/Dcc8/hpJNOKv1WLBYBTC7Y/NRTT2GfffapzvAKaRoxF/Zat1oRVNCNj48jl8vNgIWKoiiKIhNE0NVayDXCOnOe5+H888/HzTffjHXr1vlevrXffvvh0UcfnfLb5z73OYyOjuJb3/oWFi9eXJHNUdA0Yq6R8BN0o6OjGBsbQ2dn5wxaqSiKoig8LkFXj4hcI4i5IJdvnXbaaXjFK16BVatWoaOjY9r1dHPmzAEA53V29aB5YqYNhnRTxOjoKNLpNLq6ugIvgaIoiqIo9Ya7KaKZT62GZfXq1RgZGcHSpUuxYMGC0uuGG24opdm4cSO2bNkyg1YGQ9VGFdAIXSqVwsTEBHp6ekqfFUVRFKVRsSN02WwWmUymbkJuph+9FeTyrXXr1jn/X7NmTTTGVMmuK7nrhBF0nudhYmICHR0dDfkcPEVRFEXh6O7uRkdHByYmJuB5Xt2E3EwvGrwroWIuAuxHf2QyGV2HTlEURWkaTETOEORxVkpjoadZq8RcI9fT04POzs7SKdfe3t6ZNk1RFEVRnNBr5MbHx6t6UkRQGuEGiF0JFXNVYAs50+nNNXTDw8Po6uqaYQsVRVEUhYe72SGKR38FQcVctOhp1grhhBxQvoYukUjo6VZFURSlIXHdtVrNo7+UmUEjcxUgCTlDPB5HX1/ftAf9KoqiKMpME2T5kVpH6DQyFy0q5kLiJ+QMsVhMn92qKIqiNBRh1pGrpaBTMRctKuZCEFTIGVq1UymKoiiNRyULAtfrGjqlOlTMBSSskFMURVGURqGaJztQQdfW1la1PRqZixYVcwFQIacoiqI0K1E8ossWdKlUqmqbVMxFS8uJuWQyiWKxGDi9CjlFURSlWYnyWatmDty+fXtU5ikR0XJiLh6PI51OY/bs2b6dWoWcoiiK0qxEKeQM3d3dU54WUSkamYuWlhNzmUwGhUIBQ0NDzs6tQk5RFEVpVmoh5AyzZ8+uOg8Vc9HScosGe56H3t5e5HI5DA0NsadcVcgpiqIozUothZzSmLSkhxOJBAYGBlhBp0JOURRFaVZyuVxTCDkTmavFqxVpTC/XgWQyOU3QqZBTFEVRmpVisYjh4eGGF3KAirmoaVxP1wFb0G3ZskWFnKIoitK0ZDIZJBKJhhdySvS03A0QlGQyiVQqhYmJCQBAZ2fnDFukKIqiKJXR1dXVFEJOb4CIlsb3eI0ZHR3FxMQEOjo6EIvFxJsiFEVRFKWRicfj2LFjB7LZ7Eyb4oueZo2WlhZz9jVy/f394k0RiqIoitLoJJNJJBIJDA4ONoWgU6KjZU+zcjc7mGvoBgcHfdehU6byhS98AZ7nTfvdHCXZR0z0CMp1ROV5HjzPQ7FYLH2mL5PO3sYQj8cRi8UQj8fZFy2nUCigWCyiWCyiUChMKcMIfPPdtl+ym9po0hq76PZ23nY9aBmFQqFkn2kbk66tra1UN9OutJ1Mm5j0ZhuT1j6YMfnn8/kpbVAoFKbkSe01ZSQSCcTjcbS3t6O9vR3xeLxUnu1f0/ambjRP2i52OrOtycu2s1gsltqvra0NiURiSr2NnbYt9MX5wmxHoW1ql2nbb+fN7Tu2D7k+ZPuS9iG7/5q2kdqT5mfX0bbF3pfsfdbUwfijWCxO6SumPYzvE4lEqT2o/+0+YNtMxwq7be19yWDvw5///Oente2uSiwWQ19fH9LpNAYHBzEwMIBkMjnTZrHoadZoaUkxt3PnTmQyGfZmBxV0lUEnPAMn2DzPK02edMejIkb6TNNL6cxEbk8abW1tpe/2RGbnww00xmaubhySMLP/N//RPKRyOPu4iYwrlxNbdhtJ6aX2pbZL9lGRFMQ2u6058WzKpZ/p9tzv0sED/Y22rySwpQMKl5A3+4D5j9t/6NkBrhyTH+c/uu9xfVyCE1DcNtS39n5l1zPMaTA6VnAHO3a5Zhu7PU26Vhy7Y7EY+vv7MTQ01NCCTsVctLScmEskEhgfH8fcuXPFu1ZV0IXHDOSSKKGDuR0tMem4CIN5lwZxKUJHhRqdjOxJhxMWttCiSJM+tZvaI9ki5UXLphOxLXho5MVuX2oP9YWpJ91GiobaeXKCSPpOJ1/6Hxc1onACkmtDrm/Z7eYSF/a+TgWqXXe7n1AxxrWby24pb659XIKN/uYnMOm4xuXhOljh+oldttleanOazha8tD3ou+mvdr+V9tlWIx6P11TQ6WVIjUdLirnOzk7f5UdU0IVDmuTpxCNFdWha851ObpKo4GygEyidCIwdkg3SZ1f0xm8ikSZHv3aQ8rLzdEUx6DuNfHHiwbxLp+ioHUHEmC0AuNPckm/92kIqz/49aGQImBo9k+olCZgw9XEJL/ru50cuH7+62rZLAs7+Lu2jLqFp58GJfUmQ0oMxui8HGUNamVoJumKxiHQ6XXU+QffFSvJtRVpOzOXz+cDPlVNBVzkuYQZg2lE1HZTpNvSzFAnhygamikcakaDROW4ittPSd06k2nZI9vhNXLQtpQieHaXj6uC61o8TVPZn7poxrg7UJi4NtcdGEgVcu9q/S+3iF2GiUSJXPSSB4HnelOsqC4UCK/Rs8Wr3cz/BxLWJ1E62L4MKOEqY9gjTz+yonMsWLjLH1dtsY0cEuXFZhV30gq5YLGJoaKh0rWo1qJiLlpYUc2FQQReMIBOga1IE+GuEJEFnCww/8cSd1jEvKTLHvUsCIcj2ND21yU5DJ0VpwjPYQo6b8KQL+OmEaX/m2pm2qWSPjUtw2/72m3ilfOz/OL9wbUzrYH+X0nM+tsWE67S2JM6kekq+lPKgN3jQtK42oPi1mX2w4WeryYveaCIdvNGDErs96U0t3H5G86QHAK1KVILOCLlcLofe3t4aWKpUQ8uJuUpQQRceaWILMvFz4s0VpeC25Wwwkx4XxeKiIjQ/v/q6xKdUb+n3oOVzQtAlmv2iLGHLliZ/bnK186SnWcOU6wcnmjkxxm1nb09/s7c30SBbyLnEg1/f96sPJ5hoNFeqj5SfKx1tC0lQSgI1qKB2lcv1ITuib9tjv9PtleoFnS3kBgYGQgdFJFo1ilYLVMwFRAWdG+7aIsD/6JhGarilGiThZv9Hf5eO/oGpd7hSO6hN5t0VlZMEkktg2nlwNnDtZkdF/KKCXP1dQoOLuNj/UXv9JmupjbmIUtAJl2sPLhoETF+SJsh2QV7Gbs8rn2KldecODGzRZ5fnEpa2T2jeXNtwQs8+eKE3HdntRF/0MgS7PtwND1x7uu4cpnZTm+02kPqxbY/5Li35o1Qu6KiQSyaTkYg5V7+oNt9WRMVcCMIKula648cWGPZvQbYz71TQcf/TbaXIl2sC5Oz0E3Z0e5qvFKlwCQb7dzpxczZIQo4KNxo54rbjxIdf+/mJHHtbSUxLApX7j9vGJerNuy0i7PXRzP90uRqbWCxWOiUotTN3WttOx9WRCimpXezfpZsbaP392piKNFdbUV9zbe7q566+YtsntT9dH9FuP4PtP6ldW3VC9yOsoOOEnNKYaGgpJEbQ+T0pIpfLtdQK3K5JnhNTwHShxgk7bvLgJoGwNkrQsqV8bPsrRWqHSvLwm0QlQSv5Jkh+QV42ku+C1pkTda42C2JXkPpx7cK1GbVTEkA0Au06eKCi1BannL3ctlJdXcuFuPqOq62DpveL6kl2cgsE+x18KVMxgq69vd35pIhaC7mgY0glr1ZEI3MV4Behy2azGB4eRiqVmkEr6wt3Jx0XmaH4Tchhf7eRJgV7QuQEArfyvF03LgomTdTUHlc70Py4AwXXoGXqQydWOxrDiQM7P7tudvuY34yfg0RxuLqZPGm+Ln/adgURdJwwoG1g22O3k902dloXUp3tupr/7SVxbBtpO1Hb7Hbg+pdLjNmnWaUnVnDCya4Ld2MCB2cDtYc73cvZwtkRi8VKT3aw+6yfPcpU/CJ09YjI1Up4tarPVcxViCTostksBgcHkUgkWi4kzYkAinRqyM6Dnsai20rRCyk/KuCkxxGZvCURxkVcbNu4aCI3IXOTFJeX+RxUUNjvtgCiT0PgxC21iQo7yXaXPfTF5ekSWGHqa+MSu/a7LWykiBdno10/V5SNa494PD5N0HGChWt3Li21jxOhto+5u26lSB+Hbb8rnV9fkdZ5lLa3BbZ5jBftMy4fKtORBJ2eWm1OVMxVARV0PT09GBoaQnt7O3p6epDJZGbaxLpBRQT9bKeRtjW4ohYcrgmB/k8FDTd5+sEJkEquj+TqJIlXap/ftsY+Wlfud7sudIL0E990GxeckPMTcX6RF07QhCWM/6WoI5dnkO25+nHRVa6d/NrGZZck0qWyaBQwaDm0XjQvWg7Nw89OLuKqBIcKuv7+fqTT6boIuVoJ7lbtB3rNXJUYQWdH5Pr7+1uuQ0lRCU6E0IiG+d2kN0feYV/mAd72Q87tF/2NTlzcJCNFzew60IeDS6fAuKiKX1ty7/RFHwhPy6ZtwLUPTeeKcLjayfUIMKlNbSTRLYkeV/txtnB5u/Lg2pi2s+RrevOFSUvzckX2OPHC+Ym2iV+d7f2M20e49NQ3nC1+0U2ufbn/XeVKY4S0bytujKBLJBKla+jqEZGT+lgUr6CsWrUKhx9+OLq7uzF//nycfPLJeOqpp5zbfO9738Ob3vQm9PX1oa+vD8uWLcMf/vCHapujalTMKZEiDdLSYG4/05UO1Eac2S86eHMDujSw0wnWJVRckw83IRshF/R6OU5kSCLH1XaSMDBlcu0h/Sa9gtrtVw9OPPsdAFC/cT6iYpG2UVhBR4W6Ldapn6mNVOS4Jhi66LAk2GlbSPlxAormLYkjKQomlS0dBJi0rr7sEvtSH3EdoATpt4rCcf/992P58uV48MEHsXbtWuRyORx33HEYHx8Xt1m3bh3e//7347777sPvfvc7LF68GMcddxw2b95cR8uno6dZq8RE5JLJZOk0qznl2kq4Jhgj1ux3AOLEak82Bm5ippOSSUfL8fvfLsN+pzbS3zi7wmDn7RLAXLvadaAixYablAGUxJz5jU5+Jm9pGQ8qwGm7cPZzfuW2o7ZSX/lFdOj/0k0HLiHP9QGalopmWmdqP22noO0gQQ+GuDyCimVue79tzfcg/Vbqw/Z/nBg171I/527u4WxTZMw1cvl8HgMDA0in05E+y1UibBQtTL5BueOOO6Z8X7NmDebPn4+HH34Yb37zm9ltrr322infv//97+PnP/857rnnHpx22mnhDY4IFXNVYIRce3t76QYIcw3d8PAwZs2aNdMm1g3pSFiaEDhBxU36VJS50vqV6/rfJeSC5BEkrT1hcpOi/R8nnPzqYKfloi9UgEmTKGdv0DrSOrkmWld7BClPgotO0X4mlWlvI9nB9c8gkS0uL5dgD4OfWHSV4yrb5YOgYkmqexAkgU3ztj9XU16rwd3sEOWzXF3UWsyl0+kpv6dSKd8VJkZGRgAAc+fODVzezp07kcvlQm1TCzQWXSGckAPK19Dl8/mWWmeOO60kvYCpA2+Qa3TMu0nvus7HTsvhisCYaAddZ44TnfZ3SUBJwoJbx45rC648aoed3nV9nP3Z3jbsdUd2G3HXCtr1kk7pcuLR1cYSUltz7c2dbrTbXNpGer5tkDbn6srl4aozF5nixA3tV1zdXfVw9VWuv7oiZ/b/UloXNLIq+cGug92GQcpodaS7Vs01dH7r0DU6ixcvRm9vb+m1atUqZ/pisYgLLrgARx99NPbff//A5XzmM5/BwoULsWzZsmpNrgqNzFWAJOQMyWQSfX19zvPuuxptbW3iYG6O4Okdn/SomouWSNEeSbQFEQQ0PXfdmbQ9jXQB5eeMuqIffqegXBEGSTy62kOaoGke9nVPJg3nK05EmM8un0iikBMnXBvT/6g9rrYx6ej6alz0kpYjiQ7Oby7hyUXMJLu57Tj/uQ5GuLS2AApy9ycVZ64oJbedXSe7jwSBE4ySmLXL4cr3s7eV8Vt+hN7lWstFg6PG5Llp06Yplzv5ReWWL1+Oxx57DA888EDgsr70pS/h+uuvx7p169DR0VGZwRGhYi4kfkLO0N7e3lLr80iTkfls0tDPrklNGoj9om92OX42+k0AUv6u7xIuYcD9zr1zAoK2KxfxcbWHlJedHyck7PRSm7iiZkGh5Qeti0lP24fbjpYj5S9tQ8Wn/Zvk9yD9RhKDfv2bE0F+5UlCKgh0X6I+c7VtkDw10hYdQdeRq7Wgq7WY6+npCXzt+nnnnYdf/vKXWL9+PRYtWhRom69+9av40pe+hLvvvhsHHnhgxfZGhYq5EAQVcoZWuqPKHPHbg650SgSYHKiDXGfnmlxdkQW6rUskuo78XSLCjj6ZGwVcp2c5OyXhxU2AdgTNFgpBojwGekODJDY4gUhv9ODK5yKDts12vTk/cfUIIuQ40UjFBJevFAHkBC39bOdltwdXvmQzh0sE0bagPvITPEH/p2VKAtQ+9VkoFALVMYy4NC8uqs/1W78+1eqEXRC4HhG6mcTzPJx//vm4+eabsW7dOixZsiTQdv/5n/+JL37xi7jzzjtx2GGH1djKYKiYC0hYIddqGEEjRbm4wZUb0OkkIokVOrlIIsxOL00s0kTNCR4pUmfErF99OOFj58tFoeiEbQskOy9p8peEqhFo9jtnd5D6cAKOE6q2vfQzJ8okgULbgJ7Olfohrb8EjbiFiabZ23NtT8Wkna9LOHF1CeIzqd3t7aR8pP5upzNiyxZd3D7Hbeeqo996fn51VUE3lUqf7MAJuihwHdBUm29Qli9fjuuuuw633noruru7sXXrVgBAb29v6QbG0047Da94xStK19x9+ctfxsUXX4zrrrsOe+21V2mbrq4udHV1RVyb4KgiCYAKufDQQZib2IKmc01SfjsuNxn7TW5B6hKmvKBIQoh70bJc0Sk7usEtUhtm0pNEGGcPl8a2S6q/X9sFrb8kXLjfJHtcaV2iWerXkh1UsHPlc5EoLr3k1zBCNIhYonB1cu37kq1h+ybX74PY20pU+4guelNEPp+v2ia/Ma6aV1BWr16NkZERLF26FAsWLCi9brjhhlKajRs3YsuWLVO2yWazOOWUU6Zs89WvfrXqNqmGlovMJRLhqqxCLhicaOCO2Ok2ZufzE0j0u72dK/Jkvzjf2WldERuXuLQnUzs6Rt+p/VKd7LzsiJlLlAKYEh20fVEoFKZFText7Lah5XM2c2LKflamJJhdE7vLV3Y7ShM27RNc23P9RIpI0vpzfpTEiklj2tucfqT2cUi+pu3gwm9/omXZ9ZZskdJLItW2k7aL5EduzTzXAZ1LtNv7T6sT1bNW7QidWcKj2Qmyn6xbt27K9+eee642xlRJS4q5nTt3Yvbs2b5pVcgFhwoHulyFdCer5/HXzlGR5xIxdvl+gzc3UdAy7Tv+OFvof9x37nc/ODHJCRkq/Khd0pMpbOFiT5rmFDkn6Gi53CKt3HIntE7ms/GP3yBK21ASNJL4cQk6+7pBWmfObju9S9BJjzLjtrNxtbf9ztVFamvaNyTfBDmIom3uKkeyK4gINdh9RNonpDGA/h60zF2VqIScwQg6c2qxGiQ/RpFvK9JU6mT9+vU46aSTsHDhQsRiMdxyyy2h88jn8xgfH8fo6KgznQq5cHBrQbmeP0mPul0Dt/1ZGsTpdykCxKWnkR364nBFDLh8Jfu5fLiolcsGexsaEZXa2v7sN6m76sWdEqb4PX+U1om2iV9EhyvfFXXy64OcnXb7uvoyzctlg/QfVyeufbnProMVV1tw+UjtGbSOLqS0VHTTccHP/9x/rUrUQs4Qj8cjecKR37hbzasVaarI3Pj4OA466CB8+MMfxrvf/e6K8sjn8+js7CytDt3d3T0tjQq58OTz+WlRoKCLfPrthK5JzMAN/iatNHlz+XPr5dFypciQXZ6dzn6XJlg7ekHXfOOQ8uTaX7oLlcuTq7N9pzInrsM+w5WWxfmfqx/XHpLIkcQ2rYf57BLM0oGGlI4u3GvbZJdH85REMsXVLpKI58QtrTsnCLl60vpSv9A7roNOslLesVisFDl2CUy7XcMIy12RWgk5g86JjUdTibkTTjgBJ5xwQtX5zJ49G6lUihV0KuQqwxZzXAQDmD6hcIMx/eyaAMIM2sYmKWIjTQR+URP7u/ksiRdXVMQuXzpVLAkE+p/riQyuiVVqS5NWeg6mK2rDPZGAy1uyxXWzBvUlFWkuIWeLBNfBgvTkCL90XNn2NpyQA6Zew0gfXG/bZ7evbQNtd85uapP9XWoH6lOuf9llUEEnlSOJTE74S77383mr4XleTYVcVNQqiqaRuV2QTCaDTCZT+m4/q80IOFvQqZCrHNf1QhROyNlwIqlS7MnblYaW7YKLTtm/uwQjNzHRCVESkJzNrkiJS8hRUSf5xBY+9LNUX9dkHKStbaFlCxapTpz4pr9JPqFpuPy4/P3y80Nqa/rZ76CG6y+u/U8S8UGiZkH6l199pLJdbSgdBFJhrky2yfDwMIrFYkMLOUDFXNTs0mJu1apVuPTSS6f89rGPfaz02RZ02WwWmUxGhVyFcNfLUZFi3ukRvP0f/U4jGa6J2xVtkqIBFGODKypgp6N20ugetd+2xc6bRojoJMVNevZn6Vo52wa7faUInSQkze/SDQNmWxoZ4k6z07yl+thtwwkIzk/c9q762W1E1wp0CSJXvpKA4vo1J4yl/+z8ObHsZ4fZRhJdLp9yd6dLYk4S+y6b/cStnY5Lz/mJ+21XJ5vNIp/PY/78+Q0t5JTo2aUVy4oVKzAyMlJ6bdq0aVqa7u5udHR0YGJiAp7nqZCrEjphUCFBH0pOPwcRGtJkItkiTUhU8LiibK7IiHlx1wpx9th1CWOrdOqUfuaENG176eHyrnakv3E3unDfuUmfthsVdeZOXO46TNoPaBvZS7HYaTnBF/QmHVp3ihT1NC+7r0v9w9X3qQ/b2tpKLylPv/xpWqlf2L7gfGLnbdtinyrm+izXzq429PMBzbsVKRaLmDNnTlMIOb99pppXK7JLR+ZSqZTvw3VNRM4wPj7O3hShBMPekexIhz1RBF0UF5h+CpL+ZqejaTikSIIEFV80cmO2t/OSBJudp1Q2tY+rv/lsXy8lRZBskWlPrtINC5ytfgKSpg2ytleQqJMkyOx2kdrdbjNXJMekM8uzmM92flIe5j8KXdqGilXaBlw+UhTK9idNY9rLbzKjQpqzjxPrroOoIPsx925/DjsRc/sF7QOtKOrGxsYwe/bshg9K1Ep4qZhrQeg1cuPj4867XBUZv6MiOshLj3tyDUCSgOP+c+3QthhzTdR23lzZdBLh8nBFprjvnBjk7Aw7SXHCgRNFVMCEiVJRcWmX7fc5CLRd7Lay07j6Aif6OOFGCWo3/Y/bL7jPUvtzPuP6Dvdy9REq5Gj5nKD2E0hBbXAdIEntyAk3P1pRzKVSKYyNjWFoaEjPMrUYTSXmxsbG8PTTT5e+P/vss9iwYQPmzp2LPfbYI1Re3M0O3E0RSjBsgcYN+nTiME8MoCLDngSkiZpeh0UFSRjoZE7/kxYwpTbagyYnguhk5Ipi2BOrS9DZSJO9lM7kSW3mfg9zSpsrzyVeXLb4TcR+fqcHB666czZzAouzgctf6td+SAKH+p8eAJn/TGSOLhBN28TvdLvfKWjuAEzqz9SfnN+4gx3XwYbkA1peq4m5eDyOvr4+jIyMNLygC7pPVJJvK9JUYu6hhx7CscceW/p+4YUXAgBOP/10rFmzJnA++XweO3bsYG92UEFXGfZaZJKYs4UcPeUK+J/u5PK2BRfNQ8rPNZHY2KLRfLa3k5Y6kYSRsUl6+W1L7bfbzRYc3BIiND3XPpzAkfxJJ1iXqKGTiZ+fqY32hO4XbeLahk4aZs0yzl9SvpyNUlpaNnfTiJ8osYUZwN94QkWPXVZbW9uUutm2cJ9pucViEfl83inmad+ioo72CVso0t9p/aWDGz9B7RqDWoX29nYMDAxgcHCwKQSdEg1NJeaWLl1a9c4Zi8UwMjKCjo4OsZOroIsWl4AJe3RGB37XgM2JnbDlcJ+lCYUrhwot+p/UBkHFS5DfK2lnY4NrYpQicdL3sOXbIsXenpv0uXcqMrhtqOj1wyW0JaFVyYRF/c+1vattqcjjRCbdjhPwdHkYVz05O7h6ub4HycOVNyfsWpFkMtk0gk6JhqYSc1GQSqXQ1tbm27lV0IXHbyK3j9xdd/VJR9pmWxqV44SXSee64N+2TRKJ3GTKiTMqEIIIMUlsuGxzTXR2XmEmskrEtCsfbrKvFJqXqw2CHizY0Sr7Ny4tJyCNsKECJ+iBisuftP/RKJp99yi3T3DiKkjEy9TH3Klq7lrl9j+6L0t1tu139UfOF9RWri70d7q/trKYA2or6Hbu3Fl1HtWODa58W5GWE3PFYhE9PT2BOrUKuuAEiUCZCYkup2Cgp2H8lrawt6Pl2f/5Tar2BMnl55oMuXzppMNN3tJk71c3Ow9ODNBTrLT+fuVTuGgH1xaS/XRyd9WL5kPrbPqQn4jiDhSCRNSCikDaT+18zHVo0oEAxU9s0DZznbL12ydoPe06GQGXz+dLp1gLhcKU7e1tgwhXSXyHmWxd+yQVcX4RxVakFoJudHQU4+PjVdumYi5aWi7ums1mQ3Xm7u5u9PT0IJ1OY3R0tIaWNTfSgC1NsC4hxw3KXHSAm7BdgsFv8JDSc9EOTrBwacJEx6TJlrOTEwpBxJWrbK7cagZcv0k8bDSFE6SuelAf2fUyn115+Nls+ie3fEqYyBDXDpytdnlB7zClcALIb31A7kDKtS+4yubykdrarx6mXQyVtH0rYARdLpfD0NBQVQJ3dHQU6XQanZ2dEVqoREHLReYqQSN0/vgJIbPQqR29MLgmE2ngMYO5yUda8d+1rZ/wsz9z4ka6icPYbv6j9TDfgwot6XolOzoh1d1PZBsbaTvY9aBtwKX1K5ezHZjqNy6KGETYuQ4Y7LzpZz9xaKfnxJst4lwCM0gZ5t0+CDBpbf/7PfOUqx8tw66L6V/cIs22TSYqSO+AtW2l9ZDage5brnUnqe1SfezPVGAr0UTojJDr6ekp3WBTDdUcKPrl24qomAuICrrgSBOtLX7M/3SAticTLiIgfTaTkj0hchOFKUeaDDj7pfpJ4oFObGbSlKJs0uDjEjOc+LG34cSDS1hwk7L9u0sgSLjKkbBt5yJVfr6ivrDztUWLnw3UZ1R0Sr60tzdI/d3ehtaPTrSFQmFaO9rCz9joF5Giae39xhWRs/dd1zWeXB+y87D7rfnNJebCCjmuzyiTVCPobCHX3d2t18w1ICrmQhBW0LXSQOKK0nAEiYJw0TI6APjdPCBN7jQtZ5NLZNH/uUgFFRpB+gMnpqhA4+pABZDLfmqnH5w/uAlcKoeWST9z5dE0LiHn+mxHa6hgkeyUygu6P9MIFfdO00r1tvOhdnF5hLHP/s7VURLKUl1t27n+SPO08w7yqDPJziB1USapRNBRIac0JirmQhJU0Hmeh2w2Wze7ZhpJhHAXbFPoJMtdvEwXf5UmCxpNkMqz86dihEb2uLy5OnFRMvs0KydOXJE/yTap3lRAmndpcuPy8hMK9nfXqWIu2mKLGbqtX8SKs5tO/Jxopndm2qcQ7W0oruiPVBYnIu3vrsgcTU/3HdqO1N9cHlyd7LY37cOJddtf3GP4gpZp193O23x3PVuWy4fCCV+pTZVJwgi6Wgo5jcxFi4q5CvATdMViEcPDw7quz/8PF1Wwf6MTLZ106QRG87UnGm7CpYLBnrxoFEUSV67IiIHmYQs57i5M2yauvWgdXREwWr4rUmXeudN/fpOfFCGx86CTMy2HEwOuekmiiRM5NF/7Lk3qd9s215MQuDbmbJNEN03D9Ud6zSd3UABMv/Pa3oa7vpS2q20P97LhlhKidea2k/oq5zfukWK2rdyd7RTJfkUmiKCrdUROxVy0qJirEEnQFYtFDA0NIZ/Po6ura8bsqzcugQNMf26nPaHYYo6LENjbcREbOnHS6JSdVprEjD3cQ9ZpntzNFtxjlOj2nOCgEx8XvZHEnV0faQDjJl4uAkPz5HzhinoYwSrZROtnhG5bW9uU8uyyuLpI7UrrZ4sxLuoriV1af5re9hfXz4Lgd1BhtykwdbkZezvuKRbc0xUkQcdhH4iY71LkjOvLUp6cOOV8aNed+lEaF+wyJKGtTMcl6PTUavOhYq4KqKDr7OzE0NAQcrkc+vr6pqzT1ArYA7prEKXPjZREA50sqWirxD5J2NDf/fJ3iSLbVvPZJdZcZdhwE1UlkxpXV5do9rPL/p3mI9lM3+nabEHawIUk2ilB/EztkIQglyaIkOL6IM1Haks7D7pEil+9/ASd67MfrjxcIs7YRkWc7T+XHUHGH6UMJ+jGx8frIuQ0MhctKuaqxBZ06XQasVgMAwMDANBSYo4bPCVhxEVTpDzs0zH2b3Z6mgc3AdJoizRJ2Ne2mbR2+a6oFbWVi0bYQtYlfCSkaJc0Ydo+oPbad0jap9G4tqWRH7vNuM+cb2je9HpEl8CW6i/1BW75ELodt7QMtZPrw5yfObHM1dn0Mdo2QUSYqy2NPyvBrpsR1dyBFNfedh4uoSb5jauHax/l7HYdKLXqxB4GW9Bt2bIFAOoSkVMxFy0q5iKgs7OzFJ1LpVJIJpMtdfODC2kC8psY7M+24KB5cpMgFXH2NtKLChFOdJn/XWJOenwYFYRcGlq3IFEGTuzav0t1tPOn5UrtxQkjV1tz+dL6hImkuEQAMHX5EOkaNNqf6HI5knjgBA7Nz4400vaQDl6oEPaLYtl+lIQ2tZFrR2qXbQNtVy4/2xa7/lL/l/Ki5XEHXHZa6cBQ+k8JRjKZRCqVwsTEBADoosBNiIq5KjHXyMVisdLOMDo6ilQqNdOmzQjcoOonuABMmaA4pGiWeecmTpouqN1SvtJvdHsuQmB+DzrhUFFBRYn9WcrXVZb0mZZNfcLVjba5JFi4dPZ7JQQVkHY9bQHMiWBaD0kA0zypTeazJJ64etj5UqHElU9FnKvfSeVzedp+lmymv0t3MAepL/WddMODqw2NTS5/KTyjo6OYmJhAR0cHMplM5M9y5dDIXLSomKsCI+RyuRwGBgaQTCZLF47Onj07klWymwku+uMnCqiA4qIcdGKz0wcVBLRs16TK3cTA5cUJLfs37g5AejG7S5zak5pJS5f04D5LdbOvS/ObTF3tK030Ul1sm7m+Qbfh/qP/09/9BKgUmaPCQ3pJQlCKWFUqUDlfup5sQetvt4mfmOfyo3W290G7TOmggt6ZSvcJCi2TW5xZEqBSOcaOavzQStCbHbLZbKTPcpVQMRctKuYqhBNyQPkauh07drRUqFp67JY0wQL8TsdFESSRwolHV750gqLihk48VNhJEz61x05nBD03kdK6mHfuTj6znbGZmzRdotcWMH6CToJOmFy0yCU6uM+caJTss8uQ8jPvUt/h7LbtdF1wT+tGr+PkxD1nM62L8adUlks42tCDEK6tuDrYfZYuBSLlQUUezcs+bR2LTb8W1fwniTnuNLnUHirYKoe7azWKR38p9UfFXAVIQs7Q3d2NfD7fUtfNcUfQYQZZKcLhJw7od9ekyQm6oHVxlUt/N8t0uASsNEGa75KYoULFrluQI127Dbn25MSx/Ts3kXM2uISl+cydHrQFFW0nO52rr0kil/5H28MVQQpSP9e25l3qf5w4ctnt1xf9+oFfGa59hPZXaUFvrs6c/Zyg58pz9fEwB4zKJK7lR+oh6IKMV5Xm24qomAuJn5AzdHZ2ttQRo0tQ+YknLkJivlMRRycK1ylR18REI1SuiZwr286Xi+LYcAvTukQO95n+ZkQPPW1rp5PqJkVOpHr6CVIa5eHu5uWEKhVzUlSIExuudrLTtbW1+YoA2y7p6RAmH/th81J0iOsnrr7oF1GU+rd9dzRXP66vSXmbdzvya7eLJLC4OlKkfigdsEj7u6ssLsrH1V2ZJMg6crUWdCrmokXFXAiCCjlDItE6zUsjPXRHdYkOSdhIEx7d1p58bOhOTQUcFxmiNvtFBMw2kigwQsle8kEShdTuoCKYaxdJzNH6mP+lCArXjvbvtpBzLS7LlUXbixMO1GYJTljEYrEpj4uy4dqIK9/UzYi5tra2Up52vvTRczQP6lOXz1zY+ZilZag4p2XS7TmB6DpI8jvAkfqNC9o+0sESZzcV9ZW0YysTZkFgPeXaPLSO2qiSsEKu1QhyNBxGKEhlSJGQIGVKkwWdlGi+kphwTXKuNC6BJuXHRWykcunisVLkx7xzPgkiKqQokss+mrffZ2nStv+j34244WziBCVXPs3PFqzcjRPcu52PtE4iJx45uzgf0m2oPbQOlCAimSL1Xdtf9LPf/iDVhfYBP1ulAz2lTCVPduAEXRSE7Xth8m1FVMwFQIWcPzQSY36jk4krEleJOKITUlAhyZXF5cVFm+jzMWmkgBOEdgTKNRnan+kkDWDKqUxarnl3LbZqfqOnfKmdLvu4ursEnV0mbQO/CVfyGW1ju93tU6tUfNntwglFaouJwtnvdv60TST/c6dkbVvo4+CkqJdkK1emJHZp+9LfpT4jlSdtG2Tf5sQfJ0hdfYuzFZBvympVqnlEFxV0s2bNqtoeFXPR0nJiLqyjVcgFw+9I2jWR+EVkgvqMm8ToxEcndNck44rC0HrS06iugYqrrzRh0uvP7O+cGAGmP9fSQE+PcALBz177N04s2OJFystOYwtjl5iU7AgiKmk6qT50bTNjo31q1T5tS0UWZxsnvG2/0eevcnnSU56c37l60v1AEoXcnaa0LfwEJP3OpXP1MU64utJS6D5ti2Qlmmet2oIul8tFbKFSLS138juVSiGfzwdKq0IuHNzF4fZ3MylKEyPAX79j/84N5H4TOZcvBxVArggHrZt0YbyUf6FQQKFQKK10b79o9IgKJE6QmomLbk/FESce7d/sPLgV+LnvkjiSBCqtE9dngghiKW/z2U7H1UkSAJyP6XVyYQ8Kpf7p6i92n+D6Cm13rk1d7Sj1Hb9y7PaVCHqgwOXp2p+p2JO2CVv2rkwUQs5gBF0Uj6r083M1r6CsWrUKhx9+OLq7uzF//nycfPLJeOqpp3y3u/HGG7Hffvuho6MDBxxwAG6//fZqmiISWk7MFYtFjIyM+C4bokIuHK7IADdB++18krgLYoMkYlwRH1eEhasf/S9ovaiw4CZNak8QQRNm8nSJGZpG+u6yh/seNNoSZFAOIi5cAjOIPdQmapudn0vUcnkG6e92Gj9/udouyAQn9Z8g0TgXfpE4Kb1fedLBVdByWokohZwhmUyit7e36nwaQczdf//9WL58OR588EGsXbsWuVwOxx13HMbHx8Vtfvvb3+L9738/zjrrLDzyyCM4+eSTcfLJJ+Oxxx6ruk2qoeVOs2azWbS1tWFwcFAUaSrkwiNdg8UtV2FPGNI1ZDTPIJOwtG6ZeQ8akaFpbGiEwDWRcwJDSi+JD/v0mwtaNzqhU7hlQWyRadeBaxtaNr2O0GUnzc/ALRdjl2+252zi8uPawv6PwuXlJ664U9pB/GWXE4uV73imi+XSOnBPAKkk8iW1gx2pC9tGrjKprZKwDhp14+oddiLf1amFkDPsKis13HHHHVO+r1mzBvPnz8fDDz+MN7/5zew23/rWt/D2t78dn/rUpwAAn//857F27VpcccUVuPrqq2tus8Su4ZGQ9PT04OWXX2YFnQq5yuAeXUYnDW79MdcATMWcJBjoNUWuSUIScvYEbAtNU559DZid1hZ2fvWXBKRLmFC7TFl+ZQaZaG07jJjj0nCRENtu6htJQNnbcG1k2pg71Rw08sWV47LH2GD/7yqH5usnfrjtaNn2viEdVEjiJajQtbdx2ScdwEj5BD3I4IQcd8Al5e8SdPZ3I4jtvtSK1FLIRUWtxLfJM51OT/k9lUr5PjN9ZGQEADB37lwxze9+9ztceOGFU347/vjjccstt1RgbXS03GlWYHLS6O/vR3t7OwYHB0unXFXIVQ7dMaVIho0kRri8pAgJnUxtYeJ3PZorSkThoi7ULull5y+JAa49gg50dBJ02Ue3c0WXKC5RJ4lUl4ilNvtN3K4+5tc+YcUgzV/Ko5J8af6cn2i+lZTL2ewnODlBJdkt5eH6XaqHyy7XPiSlN69WXBNtfHy84YVcPVi8eDF6e3tLr1WrVjnTF4tFXHDBBTj66KOx//77i+m2bt2K3Xbbbcpvu+22G7Zu3RqJ3ZXSkpE5oCzohoaGMDg4iP7+fqTTaRVyFcItCmx/p6eHpKiUNGHTbaVIgmtZDm5yduGXhxRJo3X3s5nmL9XZFY2TBJurzaj4te22I0Yue7i6A9NPn0v+pnZydTPbGN+6RB/FT8iY7biFfu3tON9xItVuC+kGBEmU2EKO5i/ZbZdpfw8ieMy7FCGT2oOLyvkdCNB87f5Gl6pxHRS52oGLbrZaZC6fz2N8fBxz5sxpCiFXi8icYdOmTejp6Sl994vKLV++HI899hgeeOCBmtlUS1pWzAFlQTc4OIjBwUEAwLx581TIVYkr+mI+cwM+N3nYkxMVIPY2LmFi8qN3DXIDCRdN49LQdyoauKiVBJ20uAVmJRvpb9LTDux385mLVJr/uLshg0RG/MST1E5cfWm72mJHqj/Fb7Kw87SvWbNtlOok1S+IGAlST06Ic/ZTgex3oOCyidt37LyDiFIb7j/pjmLuQEbyK83XfrSZ+U7tbQVyuRy6urqaRsjVwj8mz56enilizsV5552HX/7yl1i/fj0WLVrkTLv77rvjxRdfnPLbiy++iN13370ygyOi9WLQSk3gohRUYHHLLEhih06a3JG/q0xXvvR3V/TEJeiCCL8gSBOXX5TCNTm76sQhCT47L78yOZ9xZdDypDK5dvKrh53WL6LD+a/aycVPjNjfpZuGgiD5K+jBA/3uqn8QgRVm35O+c/WTbJbq5TowUhSK53k477zzcPPNN+Pee+/FkiVLfLc58sgjcc8990z5be3atTjyyCNrZWYgWjoyZ66Ry+fzGBgYQDqddt7lqsgUCgXxNAqdoOmEZv9nQycsemqGppHW3qL5S2W5JngzMdgThF/EwG9i5USSiYjZ+UsCh2tP2067XvQztdHO09WG5sWtQSe1h0tY2OlcdQ2SB2crtSGoKLDLtSNHUlm0DCmqSfOgD7R3Qf1kP/OXqwPnV26dvCBt6xJxtDxOxNH/6fhA7THp7XepbpydQfvdrkZ7ezvGxsaQSCQaPjoX5uAlbL5BWb58Oa677jrceuut6O7uLl331tvbW3rKxWmnnYZXvOIVpWvuPvnJT+KYY47B1772NZx44om4/vrr8dBDD+G73/1u5HUJQ8uKOe5mB/saOhV04TALMXNRM/t3OimYCcZPDHB52ZgJlBvEXVEqyS47Df3fLyrF1Z/mR3+zhaJ9Z7DULlLdJPFgr/IvpeNEt20DFeH2hEzbk7aFBBeVC7K9XwSJRmQ4+4JGsqQypHpLYs7Pj+bdflEhZJfFCZ2gbWVvT/ctW2D59XmXsLJ/5w60pP7G2e0SdHY7cCK2lUgkEujq6irdydnIgq4RxNzq1asBAEuXLp3y+zXXXIMzzjgDALBx48Yp48lRRx2F6667Dp/73Ofw2c9+Fq985Stxyy23OG+aqActKeaku1bpTREq6IJTKBSm7ERc5IxiTyauydbOj8vDpOUGcwO9lkyyh06QLrHkEjB+uIQi/T+M0HBN3JIA4oSJZB/d1jWh+0XbaFo7vav+NB86eQdpw6BCzk80ckiP7woCJ56CRuykcqSoYlC7pD4fRtgFKYP7bOM6sLHHEjuPVozOdXZ2IpFINIWgm2mC9I9169ZN++3UU0/FqaeeWgOLKqclxdwTTzyBeDwuPmMuFothYGAAL7zwQsXPoWtvb8esWbOwYsUKDA8PR2F2Q/PpT3/aOUHYEzW9wF86YpcmXCqsXOVxaWn+NnZ+NLoinWY1deAeks7hEnKSaLLt5vLh/qdp7bxdd/65BBHX3rQdXQLeZTeNCrnqSwU3N5HTbe0DA9qv6EX5djtQn/iJNMmPrqiZFAmzT6PStqF2uISnnw1+0VPbPs5u2v6uPlDJ/izZ7zqQCHIQsSvR19eH97znPXj55ZeRy+XQ3d2Nnp4epNNpjI6ORlpWe3t71XmEOaAIm28r0nJiLplMoq2tDdu2bRNFmud5pcicPlg4GCYyR4Wa38THCQTXBGvn63pOpmvyMe9UPEj2uPK2JxP6BANOhHHlUKFJF+Dl2ob7jdaXih27fNteO71kK1cmfdHoqSSAbNukJVFcp3C5i9pdkT0qLqR19SQx4uoPQYWI1I+lqJm5dtJuW8mPQcWlbUuQfk7t57aTBDX3NBaaRrJdEsLSfk4/c7+1IkbAmTs6oxR0UTwBQsVctLScmIvH4xgeHvYVZyrowmFfjE0jC3QyDhL54QZkO9+2tjYxf4M0yXHiI8hEIQ0Spt7SI5k4XLZxn13/u8RckGgNFaaucu1IDL0hhUvDRZq4Mql4o0LLtpsTA642M79TISfdMMOJdVekKYgdVDzS7SSfAFOjqFQA0va120jqvzSNy1buoIUrWxJ5NlwfofkFvblIKocT561MLQRde3s7+vr6qs5HiZaWE3OZTKZ0sb4fKuiCw00qftcOSUfg9mduQJbuFORssj9zkxG3DRexCfKMVBqlqBS/baXJl5vQgyzNECSiJP3GiQYaieGiV8aHXMSH1sHOW4pm0f85e+2yXMLAL9JFy6E2Sf6R/rO35wSxZIsklLm623lydklIbUnbmTso8/OHhF/7h8lLBV20gq69vR0DAwMoFApV2+Uau6vNtxVpOTEXdudWQRcMc1rITNKuyFnQiJONn1A0abh8uIiEnSd3Ssh8phOWHYHjtpHK4uDEl1QXWhYnUOw8bbEkCQH7ndpsCywuD8k2Kly4u0pt31HbqS84YW23jf1kESoo7M/SAsl2/Tgxx0W77DLptlwbucSc3S6u/ssJI9OW9rWcxg66eDYVm3Z+UpvQtFSI2zZIdeLKkdLay/JIbRkErt1bnSgEnRFy+Xy+9AzTalAxFy0tJ+YqQQWdP21tbaVlNegkQycH6aHknFAxSALO3pYbvE3Z3PVhBnqROc0TmPp4KipCqP1UDHBiy08cucStbZN55+pGIzaS6OQEKL2Zw97eT3S6RBH3my0WaDrutKhth6mf9Pgw89nVPzjb7Hfa5pLYo+n9Dl4koR3UZrOPmX2O61d0X+Oux3TtN7b9VORz/rS3p2VKuNqRtocL1z6jVCfobCE3ODgYyTVzSrSoRwKigs6NEXM0SmBfA0MjGhzcZC2lC7OtPQlz+XKTl/2ZRhfs6JwrL/s38+6atPzq6RK8XGRFEmT0PzoRS9Egrt3D1Je+bNukKA8VIH5ikotCcbZzdeZ+54QhFW6SHdxnOx/OZzSNBNeeNB/pwMG1b3F9hQpCW1AG6RNUEAbp+xJSe/vVQalM0FEhF1Wbcn0zqnxbERVzIQgr6Frp6CWRSEyJnHFROem6M9fgEETQ2VETbrIPMuHRaIM0sZqJzI4G0VX8aTSEy58iRZX82ogKN7v97d+4uriiUXQy5MQHrReNfgJgTwFy5Zi0nLiR2sMvuuQnQqlPXJMLtcUlyrn2lgSSS5xLAlx6ue4kl0Q/hfMRtc91AECx+01QG4Ig3S3r5wslnKCrlZADVMxFTeuojYgIKujMwo2tgonM0UkccEdUpAmXm/S4xxfZg7qfmHNF0mh6P+xypAeHcxOzNIHa7SFNvhLUfnqKW7LfvNuizFVP+rudvytCw4kCelqU2k+Fju17P5s5+yW/cOXT7Wledv2l7VxCz7aDe+ydnTf3bgtkejMQZ4/9HxXLfvsChRNhVOTT9PQ/qf2pX7kxgmsr294w+00rE0TQ1VLIKdHTOmojQvwEXXd3N7q6urBz584ZtLK+0AlFinD5IU1qLhEgTbj2tn5H7JXYKtks5UsnSi7CweURxE7a7tzzXe0yK/GLC0lUSfULUr5LnLiEnFQe7SeSWAkiEGlZrj5H00jihP5P68lF46Q6c7ZwdaP5u6JcNF8u/yC42pfb5+3tXGJNOuhQeFyCrh5CTiNz0aJirkIkQWdW3R4bG/O98HdXwk+ohD1iliY++zcpOlCJzZJA4tbOM9Dr8KgtLvHkqh9N4ydE6X/chG/b5MqDq4efWHUJCZq3sYFbYDhIpM6OZtnbSU/n4Pqhq09J/TaIUJCiaVwbmM/cAsZcVM3Ui0bl6OlrjiBCi7sEwo6McULT/m6/B4n4caKNO4irBhVy/nCCrl4RORVz0aJirgqooMtkMpg1axbS6TQmJiYwa9asmTaxbkhH/a70gP9EI0VB/KIS5ne/l10GneiDlCGJVFckRMojaHRDEnnmNxrJMZ+5O1TtdJzgoYIuSCTHT8hx9kvXU3JijiuX3klNbeRs4wS2n8CXoEJSmqioKKWXBtADIVu4SZ+5vCUBLvmI2ut53rR25/qp1FeksjghZ9K7Hicn2e13kKiCzh9b0LW3tyOVSump1SZExVyVGEG3cOFCzJo1Cy+//HLp6EaRocKFi3LQScg1Edn5cILBNcFSuCiEazspWsFNPFxEgquvH0HS+0VI6O9Snq4JPUx72p+pj2y/uUQqvZ7O/p0KdVsUSW0lifewvuD6mV9+9OCB5kcFHVdPLj/qK1o/l5Cj7WoOArjtaNncb5IvOSEtbcsJc054S75U/DFzlglA1EPIBR2PK8m3FVExFwFdXV2lz6lUqmWFHB1o/QZzM1G4BmE6oHN3RXIRHvs/6UVtN+/SIMZN0K6Bg5vMuYmW1sdO78qXRkjMb2byDXpTAm0XKYLHlcXVQ4rg2HCCV5rADeYmGy76Y/4z9abl0PpTgekneqXoFu1PRnBJmIic/W7na4s3ewFuGnWU/CItjsy1QdDPXH/jfG+eCiC1D43ASZE8ux1pPzTfXWtDcu+KGxORM3R1dUX6LFcOFXPRomKuSsw1cul0GmNjY6VTrjt27Jhp0+qOmUxcQsB8liYc18RCT59xE6ctRuw8uAmGE1j0JUUzuHrZNnBRA/u0mr2tXQ9pgON+4wQod4MInYRpObQ9pLaji/MGiQy6vtv5cJ9pOlquHXmjIsdPDJv6BvExZz8tlzvIsH1CRRbtC9zBhn1dnHSNHH0+LicUpYMXV5vT9uLqZYt/mge3v3F52Nj52Om5fZzaT+umYi449Bq5rq6uSJ/lqtQHFXNVYAs50+nNNXR9fX0YHx+fYQvrhx2NA/yjUlLUwBXNsz9TMcJtz9ki2UZt8MvPNQFyokISi8D0CJqfmJHy5QSqJO44W+16caLPT/i46sC1aRgRQX+X7KRCIagw9oO2gfSiSP53lRPk5cpbKsfVnubdJYy4enECTvrM+Zw7IJHqxQlC1wGDCjl/uJsdonyWqwtpn4ki31bE/yncDcaVV16JvfbaCx0dHXj961+PP/zhDzNiByfkgPI1dIVCYUrYuhXgIg/c2m80LTf50ugEF7WwJzW/SVIqN6jAtCcY6cJ12257O5O2UChMexWLxSmfaZ5c3f3Ko+VKE7vdltITPGiZrudnSu1M7aA+lK4Do23B2Wxe0tp60vZc/+KQ6i/1S0nQcW3h8oerHJqv6Y+0X9EonbQOo8uHXB0kwSTtr7R+9Ds3brjajOv7ti1BhXOr47prdXR0FOl0Gj09Peju7q5J+UEPXCp5NTrFYhE//OEPI82zqcTcDTfcgAsvvBArV67En/70Jxx00EE4/vjj8dJLL9XVDknIGTzPw/DwcEstTUInFVvMScsvUGFiPkuTvEu4cELGTkdt5dJz1xtJE4RLBHL5UuGWz+dLn6VJJ8zAxQlIP0EddMKlYs9PyHATrF0mzZvmwfmDnjYMKipdbeqqB50UXEKLE4OciLX7kss+rq3oU0bsdpEOEiQhJ/UFWr5LkEv7sySWJR9ISPsU106cvSrk3ARZfqQegq5Vicfj+M53vhNtnmE3OP3007F+/fpIjQjK17/+dZx99tk488wz8drXvhZXX301Zs+eHbnCdeEn5Aye5yGbzdbNrpnGFnA0OuB3fZBBEgZ+Qk6a9P3EliQ+TRqanpbhEoBcW3AROPNyTWxU9NAIVJBJ0TWZc2k48cIJOtdjuvwmbMl+SYz61cElXO12dAlS2iYuwcK1gUlPRTsn5KiA5epEP3Mizu7D0n5gb0vz9ItsSPtTECHnEu1cGwbd1zlcBxFKmTDryNVS0AU9WK3k1QwcdthhuOKKKyLLL7SYGxkZwbJly/DKV74Sl19+OTZv3hyZMS6y2SwefvhhLFu2rPRbPB7HsmXL8Lvf/a4uNgQVcq2IJHRcg6+B2wGlScU1sQQ5GucmVbotl8a1jSSYXELPNSFJgxH3u0sQc3UO0ob2f1y+QaJYXJtJaWz8/MoJZsnuoBO6LagkG7j0tkiR2pmzhxOxnJCU2iZIP3O1BVcfWi+pH/r1W+5gLGh61z7v8onfwYxSppIFgWsl6FpdzD3//PP4+te/jr322gsf+MAHsGrVKvzyl7+sOL/QN0Dccsst2LZtG3784x/jRz/6EVauXIlly5bhrLPOwrve9a6aLcthrkPbbbfdpvy+22674cknn2S3yWQyyGQype/pdLri8lXI+cOJFDPhed7Ui+fpaSM7vWuiN+908uXScaLGbOcSW7Yt3LZcvU16+396etV17Y+rvtKkb8qz25hLR9vO2BZELNNy7Dwokm1+E7qrfCo06B3N9n+cYJGEEbXZTwBygoc7zWsfxJilOqhNJh/P86b5TRJx9iUbpk7SKVXbXpqPXV/pWrxYbOoTOuLx+JToYhDCCnq7X9JtzO9c/6N90+/3VqaaJzvQmyImJiZqYmMrceuttwIAxsbG8Pjjj+PRRx/F3XffjXe84x0V5VfRNXPz5s3DhRdeiP/93//F73//e+y777740Ic+hIULF+Jf//Vf8de//rUiY6Jm1apV6O3tLb0WL15cUT4q5PzhoiU0SgdMP9XV1taGRCIx5UJ2v4gAzdsvkuKy03Vtn9/RP5eXdP2SdJrZtQgsVxbFzsfvYn4K9ZXUpnb9pegPJ8i5+oWNwlD/0NP5ku0uXNEe7hXEdr++RNvGtiVs/fP5/JSX3c84H9i/UaivuFPq9n+uNqX1k/ZPOx3tt1wfDnrwResVZl/Y1YniEV12hK6zszMSu1opKrds2TL86le/mvb77Nmz8frXvx4f+chH8M1vfrPi/Ku6AWLLli1Yu3Yt1q5di7a2NvzjP/4jHn30Ubz2ta/FN77xjWqynsbAwADa2trw4osvTvn9xRdfxO67785us2LFCoyMjJRemzZtQjKZDOVwFXLBoAOrX2SEG8RdebvyoriEV9DfKhnsXAKHszHoYMS1a7UDGWdrUDFk5+Gqq2Sbn51+YlEqV0rjypdL68rX5R+/A4EwbWDnJx14+AlYrlyazvYNF/n0852rn9vtwtnm6r9B92GuXmHbeVcnymetGkFnL5RfKbUQco0s6B566CHstddeAIC///3vpd+///3v40Mf+lDV+YcWc7lcDj//+c/xjne8A3vuuSduvPFGXHDBBXjhhRfwox/9CHfffTd+9rOf4bLLLqvaOJtkMolDDz0U99xzT+m3YrGIe+65B0ceeSS7TSqVQk9Pz5RXPB5HX19fIIerkAuO391uBno0bkcBXAM4NwAFEU9BRIBrsgxaL1qGFJmx62zqbUdBqM1SfU1bSoNY0LaxxQJ3I4jLBkkIep68mG/QqFSQ/2kdXDZKN60EuTGEa3tOZNE8gkw2Ut+itnMROuluaK4srkwbLkJHt+fykurhale/crklZqivqY9pnaU8Wo0ohZxhdHQUY2NjEVjXWmSz2dI1hwcccACeeeYZAMBRRx01RddUSuhr5hYsWIBisYj3v//9+MMf/oCDDz54Wppjjz0Wc+bMqdo4yoUXXojTTz8dhx12GI444gh885vfxPj4OM4888zAeWQyGXR2dmJgYMDZuVXIVUcsNvWxXuY3885N6uY3OlBT6ITLYba1r9ezbXFNnAYuWihNaK7oh/mfu7vPFZmUJlwJl6Cz60y3oROkhHThvV22aWu7Tejv1Bbb75yQo3lxkzwtw08IutqJ/s/lQ3+jApgTP1K/oPmZ37j0nOjmxIxdvm23XS+zvel7kmDz63e2nfY1b1xb23lyZcbjU58yYucl7Y+mvcy+RAVeq1ILIWeIYkH8WvmnUX3+yle+En/4wx/Q3d2N8fFxjIyMAJjUGtu3b686/9Bi7hvf+AZOPfVUdHR0iGnmzJmDZ599tirDON773vdi27ZtuPjii7F161YcfPDBuOOOO6bdFOHC8ybXgJszZ44o6FTIhUcasOkO6xJBVPhJk7P0XZrIObjt6YQnCQqunva7EZBmUorFpj6s3BU1cSGlkwSQBJ3Upf+oGKfp7HI5weZnA2e/XxTHLo9O+Jww4gStVCdXmZztrvxdfd5VtnSQI5UpCUSpTEnk+tklpXP50VVHrq+4fpds8tuHKlmLcFeglkIuKlpNzJ1//vk4++yzsddee+HAAw/ED37wA1xxxRX49a9/HUrDSIQWc1Gc262G8847D+edd15VeZgObp6jand2FXKVYY6q6aBBI1B2eikf6YjeT6TRyc812Ntp/IQi3cYWbXberonYCDpbyEV5Koib5DkBQ6M4Ul5UOJnPrmUwXJEhl62u32k7+dlttnH5VRKdXB/hRKNtK1cPVxvQU9EuG7l+aJ8u5srj+hTN0/7PjoRJ0Tyuzi6BT/dfV5+TDpjMWEIPFPwODKnvW1HMJRIJzJkzp6GFXCvykY98BHPnzsVf/vIXnH322Xjf+96HvffeG1u2bKla0wAt/GzWXC43TdCZBwyrkAuPdM2bLXTMZMPdrcZ9dkVF6GcuHTfp2PZIUQ1pgpYECxV19rZ0ORKTjk66rnpL6aTIEG0Hro5cfel2kj/ppB40kgJMX3rCbiepbEkkSvWjgkLqA/ZnyQ9+Qs4lqqR+bk5tUqEs1YGrBz2wcAk5+rLFW6FQEEWSdJ0h1x60X1B7Pc9DW1ubc/+lAp4Thn6CjrZVFAdKzUQsFkNfX19pfmtkIRfVgSyXb6Py7ne/u/T5V7/6FW6++WZks1m8733vqzrvlhVzwFRBt3DhQgBQIVch9vUqNn4Db1Bx5oKLBHBp7AnQT8hJ9nLb2IOSnYcdqZTEkVQfV1pXNEdKEyQvLt8gESz6u7SdFHWS7OcmbkmMSz7lbPSzn0MSW3bfkyJkVFxIkaYw/d9vInTZa4tK+7o5I/LogQhdWkfynStiRyNkrn2W2wdd+wQX7QvaH3Y1UqkUCoVCwws5oDXFnE0ikcCpp54aXX6R5dSk5HI5ZDIZzJo1CwD0Lp0KSSTKXYk7orYHczpwc6fuJDHAvUw5XESHi15R7EgAN+m4ogJSdI4TLtyEyJUpDUa03VyDtd+A5pocXREjO38qrmjZXBtQv0kiwCXigkTmJJuCfpZw9T/zbt+VSbH7C+cDP7FpHzTFYlNP3UtPo+Aia+bdLGxM7yI12wF8dNnOQ/qN9g2XyPI7uLL3MbuduPZqVSFnGBsba+n6tyotL+a6u7sxa9YsvPzyy0ilUr53uSo8iURCFC7A1EnQPoViv+g20qTGLcJr3u3BnQo9eyLjJnGXgOGiLdyCqjT6Z0+K1BZuQuYEo4QU6Qoi5Lh3aXvuf3tytaNM3LYuES4JuaBt4SfYqRineVFh6BcpCmI3FXPUNk6YctE710GEdNAj7XPcwZJ9ytu1WC+XN21HA3fdLLdP+uXpJ3L9+oh0kLCr43keent7kc1mkcvlZtocJ60emYualhZz9GYHcweQCrrw0EHUYAsb7nopTsxRsUDT0nKouLKjC3ZaumyCvdPTo367XLsMKubof+Y73Y7mx+VvtxdnB1cnWhdbTNJy/CZ+WiZNKwlGbmL1Ez2STTQ/17pjtBxaD2ov154u39DfOIHAHUi4rpez+6ZJK7UV1z52RE8SK37jFrdf0X3PJYRcIluqswu7D0v7juud219alUwmg3g8XprDGlnQqZiLlta71ef/h7tr1VxDl0gkMDAw0LKdohI4kSKJNfszXTfLL5LDlWUjiS5pAnKl5RYxlQQGfecm6CBRCFef44QclybIROeKsgSZfKVtqX1+oo62Z9DHf3F5hzn4knznErNSHlIfc23P9b+wtkttI+XFpZMEsmsflNorqM84gUw/m+/Uflc5Ol5PMjw8jHw+j4GBgZo9K11pPFpSzHV2dop3raqgqwzP86YtZsqtVk+fJ8k9w1R6XBEXFeFElv1kBfvpCpwws/OiT2cwz401L0nYmfobW13P5rRPD3O2+E2u0t2xlEpEoWuCdIkFl5CTfMa1o5+vzMu2n1vImPOBhEvg0/bi2ojrb8ZGP0FL60rrTcuX+rvUpmYbO1+7b3PpJbElCSuX/UH6hdRG9AkkXB1d0fRKBP6ugud5GBwcbHhB5xLl1b7CsH79epx00klYuHAhYrEYbrnlFt9trr32Whx00EGYPXs2FixYgA9/+MMYGhqqsCWioeXEXCKRQFdXl/OuVRV04ZEmUyrmOAEnDbzSYGwP6lLUzO/F4RJ0rsmP1p9bod/1/ExpMqb9jovw+Q1iQQY52m72duazK1+OIJE4OvlTMU5FjQQndOkriLjj6iP5JYyA8XvcF62/X505W1x22Qcl9DFynICWBJMpm34OOqH6CX3XQYarPG4bu91bkVoLuijmxEYRc+Pj4zjooINw5ZVXBkr/m9/8BqeddhrOOussPP7447jxxhvxhz/8AWeffXYlzRAZLXfNXCKRwNjYmO/yI9w6dK14lBcU1yTKpa3lYGD+M2XZac1nThBJedrp7He7Plw7cEKO29ZPOEllhfkvDLTtpP+kduAEEffZtY10PWIQ7DxtO6Wy7N/svkE/S9u4bDCfpSil+V8SP0Hhtrevx6OiJ0h/o+3nEvUu27l60P+D+Mguk4OKuVbHCDp7DoviGrpYbHItu12FE044ASeccELg9L/73e+w11574ROf+AQAYMmSJfjYxz6GL3/5y7UyMRAtF5nL5/OBnyunEbrg0Egb4D4S94tSSS8aOZNOTUn5Sr9xZUgREINdJ9dpYy4aw7WBX8Qh6ATFTaSVHNWGEVG0XVz1c0WCJJ9wdfSL9EjtQaN41D7ORr/+weUrXTbgiqy66ivlZ/KRTqfa+wm9dICms6N2NFLq6g/SwRTnA44wfZwbS7iDKOlgspWIOkIXi8UwMDCAtra2qm0LMyaFfQGTa8bar0wmU7XNAHDkkUdi06ZNuP322+F5Hl588UXcdNNN+Md//MdI8q+UlhRzYVBBFwzpMU/S5MyJJD8h5TdRcZMqwJ+WlL5TOzkByk2q5vSqfU2gdP2ca9KSxIgU2ZHyoz6w6yVdOxhUGHHt6Yri0bKpz2nefqdDOZFIv7v2UzsaSk9xckKG2su1m3nn+gTtB67+JtkbVLhydZLqye1L0vV0fqLT1d84G/3yCXIA6GqXMAc/uzpRCToj5BKJBIaHh6u2q9ZibvHixejt7S29Vq1aVbXNAHD00Ufj2muvxXvf+14kk0nsvvvu6O3tDXyatla0nJirBBV0/gQdOF2CzhWhAaZfbC1NgvSIXbI1qB9dR/2u6Eulk4qfOLPh6u4SeH7lSdEOrs24z1y51I+cmHHZ6KqLdKDAleOyRzpwoPn5iUS/CJqrP7hEDlcO185S3bj2kL77CbcgbSDVz/Xdbz+h4tn+zLWJirky1Qo6W8iZfBqdTZs2YWRkpPRasWJFJPk+8cQT+OQnP4mLL74YDz/8MO644w4899xzOOeccyLJv1Ja7pq5StFr6NzY0Q4DnaRdE4xpS/taKZoHlye1IQixWEwUKDQfGo2TxFKYSIIp014smEa7XPXhojtBJjE73yATo5Q/5xupLalIsutubytNxKaNuHJon5IEJ20vapMUIZLeaf+h7UPr5Upjl2vnzeXFwfUFO1/aXtQm1/5lrrkzApWWSfOR9gc736CCWPoctN9K7dLKGEEX9ho6KuRyuVwkN1T49YVq8gWAnp4e9PT0RJ7/qlWrcPTRR+NTn/oUAODAAw9EZ2cn3vSmN+ELX/gCFixYEHmZQVAxF4Kwgq6VBhPPm/pYKm7ClyYd7rs9wbramDsytyfwSgU3zTeImOO2N3WRRAFtH/owcvs/ezvXhE8ncLo9927jus4oSJtSH3KCyU+w0npRAeUSl5Iws9NTu6TrIc3/dMFpmo4rR/rddaDC9QupPPuAAJj0m12PoEKd84m0XwatK1cOPVAzNtt5SPsKl5/LnlYae8MQVtBxQi4qai3masXOnTunPL4SQOkawkrnmyhoSTH35je/GbNnz654+2w2i8HBQeyzzz7o7+9nl7oYHx/H+Pg4nn76acydO7cac5uC//N//s+034KcnpGiLvTFTR72JGZ+c4kqDr8d3297l/CS/qeTpV9EQYo6cXZI6fzEJbWFa3M/ISdFvyRhHySy5RdNdJVN8+LScwJQEsN+YsL1f1ikPi+VbdeF2sMJTmkb7rNLgPsJMC4PGv0zz4el+dji1q8NOMIcMOwKbN++HTfeeCM6OjqQTCadaYvFIoaGhrBw4UIMDAyw6U2aXC43Lc3OnTvxX//1X5HXYSYYGxvD008/Xfr+7LPPYsOGDZg7dy722GMPrFixAps3by7V96STTsLZZ5+N1atX4/jjj8eWLVtwwQUX4IgjjsDChQtnqhqtKeaqJZlMlo5qhoaGpgm6bDaL4eFhpFKpGbSy/tgDLzeJ220kiRa6nf2ZG+gN9ppSVBRy6bkIIDeZm+/2i3ssmZ9olSZTzys/q9YvD3s7+jlI2X55uKIbdGL1E0+cIA8jcqWypDpK/UYSZlx+fsLe5EH9bz5LosFVFy4fP2gaerre7u+cqKPfzbbS+ovcfmP/x7UHBxehLRQKpf4v3SBi20pt8DvAkOrU6sTjcfT392NoaKgUqbPFmkvIRUWjROYeeughHHvssaXvF154IQDg9NNPx5o1a7BlyxZs3Lix9P8ZZ5yB0dFRXHHFFfi3f/s3zJkzB295y1tmfGkSFXMVIgk6E7VLJBI12QEaHSqc6ATORUQo0s5IBZ2ZAAqFAjsZ2BNUmMiMn32SvZyAdUW6qHihIpTWmW7L2cCVbW/jitbYNtFXGCFn/05vIuDqyOXl+l8S536CyTXx26KEtolL/EnRI1fd7HSSwDS/UTskIWnXge4nwPToNdd21Pe2DWEPUGh61yltY59tB9cWnH+5vmunr4VY2FWQBF09hBzQOGJu6dKlzgOCNWvWTPvt/PPPx/nnnx/WtJqiYq4KqKDr6enB0NAQ2tvb0dPTE9m6Ns2AJIaAqQLBhtuB6JE0J3hs4RZkPTc6sNMJ1C/y4ydqJAFp20zr7CfGXAOdKyLHRS1om5k86FMp/IS1q50k+2l7cHXg+g71l9329rVXrqiXXXdJcLgECLWH9mOpT3P+o33P/mz7iRMz9DeXQJds4PKlkTlg+mLN5jdJuNG86P9U0HNrQppr/agPaD+ivqDQfqBCzh8q6Pr7+5FOp2su5JTo0Rh0lRhBZ0fk+vv7dSAhuNqDCh7pf+kGBPob9wprJ/cuRRU40ci9uLRB2ygMVEhx4kISAdwkTe3myqPlSoI06jpzdZIiklJ9Xf3IVU/Xf5wPpPr6+cIloFz/h0E66DA2u5YC8svLJW7p/0Hyp/gdhChujKAzNzlks9m6CDm/8bKaVyuikTklEri7AW1oFCJIOvs3aeL1e/apVI7BT3hIUQ47XxrFsL/bdtqnfKXIBW0fV2SFmxwl4UbTc+1j2+wqw88GTrxw9vuJbc5uP1Fk5+tXRlChT8u37bLbzE4nPZFEame/8rmoHdcv7XS0HNe+x6Wl/5nt7Tto/Q6aaF+n9sbj8dIpYPoft2+49lFat1ad1JuFWgmvVvW7RuaqxETkTIQun89jaGioqqPkZsT1uB+XyJOQxJudh/0eZIIM4xOX4JTgBAwnsrhJTWo7LuriGgRd+du2SbYHqSNnL5c/5/cg0VIpuhYUuyzpIfdhIrZcuqD+lPzA1TWKCJtLPNv/V5qv+ew6wHGV5yfMXP0rjO2tOqFXgrlGziwonEwmSxE6pXlQMVcFRsi1t7ejv78fqVQKAwMDyOVyGB4ebilBJz2VIYpBlTv9FWTic4mjMEh1kIQW3Uaa+F3tJNUxSHv6lRfEhqjajubliuRIfpYezcbBiUZXn/GLLFH7ue/2b0EOaCT7qG0u0Uz/9+uj1BY/ceTXz1x9RRJifgcgND/Xdn59VQkGvdkhlUqhv78f7e3tdRF0lYxVQcayVkRPs1YIFXLmFJqJ0L300kstdWRjFrs1p2Doyv30c5AIGo2w2NtIC9sGmdzoKRiXqLJtlSZgug29QJ+mo8KBih0//NqPqxcVDNJ/QQZEk8ZuRzsvyVZJvEiChhNI9jN4XSKRW3swyEDPlc3Vj+tndNFsap/kN7+oK92W3qTATWacUKa4RJefX6X8uPbxO1XK2RN0og7bd5Uy0l2rfsuWREWt/NWqfUDFXAVIQs6QTCbR19eH8fHxGbKw/rS1tU2ZQP3Wd6JCx/xmcEVnpLzMZ27wl7b1i3rR8qlN3CRL7eAmQkmM0qgRJ4jtugYRdfbdiGYb+w5Cu572Z9dkT9sriB3Sc2v9BJ39sq+vsst29RXaTtwdmzRPCUnc2OVwwipoNFA6qOBspGKJ2sVF++zvfv41aWn7SQczVNxLgo7Wk14357KHtgV3QMHVTZmK3/Ij9RJ0SnSomAuJn5AztLe3t1Tn9xt4uUgK3Z77nU58NH8q5ILgJ+C48rnPtF6cnXRyo58lu+zfXG1K09nlc+1iPtP19/zamebDlUsndZcvOful34Pm61q8lus3YYRT0D7mOpCQBFxQpDr4RaxcB0FBxGyQgyjpO/cu1Ynrs6725vqe3z6mBF8QuNaCTiNz0aJiLgRBhZyhlVYfdx3Vm//9oNEjGhGz87TzM+1M74qjE7Yr6mXXw05D7bCfNEGja3YUwr57lf7ned60qBj3Tu2hgpd+t98LhYI4mdJ6cxEtu27coMsJXDt/O2rJpeVuSqBQ8cZFuDh7bDgBRNc986sj11Z+oozW1fxm9x9qV1ghIq3Z5hLoUsSMwvVtyVbJNmk/dO13XH/3O/DhynCV1cqEXRC4loJOxVy0qJgLSFgh18oEEQ+UIBOzVJaZqOjCo5UOFpKAoJOjLWLsFezt6wWl66hcAsZ+t7en1yFy2/mlo/W068uVyYlzV6TSbB8myiMJbvOb3WaudpOiZ5yYkAQAZ5cUCbTTcba5RDJnK2cXjUza6bhlcDj/UGFOP0vinrPTto/ua/RgKsjadEH2da5dpfw4O5VJKn2yAyfolMZDxVwAVMj5w01wNlQU2L9xE5Z0+kaadF2nZ+yJh06IrkmBbiOVTycX18RE7ePqy30OI46CimDXb0HKk6JzUvmuPhHUxiBtzfk5bDm0TPrdFZ2TxL+rfKk/0rq4xK4p0+UDrmyuLLsedr7StkEElpSv34GNn21UWCrTqfYRXVTQdXV1VW2TRuaipeXEXCIRrsoq5IIhTaqceDGnIV0TMd2ura1tSll2dKCSKIdrApXycEVx7MgLl2+QAUaa+KVTZLS9aERFEra0jtxnetMEtdH+bkdkbFu58ugkTEWt/dklpqWJnabz85tkm6u+fkLO9gWX1m5XM5641mmU2oxrC8l2zu+cb/zEVdC2pH2G3nAjlW1/t/NyHfTQfmuj43X1Qs5gC7qRkZGq7VIxFy0tKeZ27tyJ2bNn+6ZVIRcebuB1Hf3T/+kRNvfMRvpdimjQ767JL4ioo9e50ev57N/DijmTj/S8VNsG+zsn/LjPtC52fYIOfi5RQ0UcLZO2ExV+LtFn/0b7gcnL/m4OGOz/uO2letnv9jVuxmbuRgtO8NIIHU0r+VbKh27vFw3j+h8VyNROWi87L2OjtA9zy8EAmHL9JGeb/Tu9Vs/lG5dQNe+SMG0VohJyBiPotm7dGpGFSlS0nJjL5/MYHx9HKpVCd3e3mE6FXGVIUZWg0Q1JqHFRAWlyoNu6JjxXHWj5tpijdeHy5ESdnT8VDFQYmc8uQctN0lxEhpv4uccocfXgxJIkZrk8pDTSBO8SYFQkcPlJ6Tnoo6lse7k60s+cMPNrC/o718f99hFqiyQQqZCm/ZPmywlzKuZofbhFne18THpp6R6pnew+7WoXk4/dn80+08piLmohZ4jH4+jp6ak6H9fYXG2+rUhLirnOzk6k02kAYAWdCrnqcA2g3GAsTVY23NF2kCNvSeTRz1L0w/5OJzl7wuAmyyCDimQ/Fb/cpMwJNNomQcVNELtd4pwrW/qNbkPTUwFKbaNCIQiuektChHvZ/0t50TpzgjrIgYQk5ILWne4rUjm0ztRu81kS21wdaJu6+leQPum3z0tjSatSKyFniGJOVDEXLS0n5gBg9uzZSKVSrKBTIVcZdNKjExsX1bG/U1yRIg6XaHOJPvO7HaHhBIR9tO9aXoSWTyMQQaI/XH5ceX5tQtPS7zR6Q0+h0eiGJADs75Lfabv4iRJJPNjluk53SnZT/9FTgJxPuOU+qJ1cm3IRxrDiivs/iO+lyJxfGTRvWh+6QDFXT0kY2v2Ky4+m41Cx5o/neTUVckpj0pJiDigLOFvQqZCrHGk9OCmqIU20NnRCkiJDXHRNOo1jw5VNt+Micvbv0gQI8Be1c5M2990VMXKl9xOtnJ20vlyb+dnNpeeih2GiMmayl9JKkTCTVhIVtoDz29Y+BU5t4EQN1+84sci1AZeOliuJRK6NuPa303DtQ+tj1rJzPXeZE9V+tre1tTn3NVd/s58YYUMForG7lfA8D8PDwygWiw0v5DQyFy0tK+aAqYIum80ik8mokIsQTsRxn7ntKNLE5Fd+kP+kyE2QsmgaSRj5TVDVRBxo3pKoo3ZJERiK3RZ+vgsLFZlcu3Nl09+5PLlt6LZ+tgWpIyfkOAEbJuIU9IDH/j1IOcYeKW+XwKd1oyLUr02D2BUUrr9QIVcrsdDIZLNZ5PN5zJ8/v6GFHKBiLmpaWswB5YjcxMQEAKiQqxB6FyYXVTLv9kTFPZPRhg7WEq6J15W3a4LhJgkpX2kSlMqUIjV+EyOdTIMKOc42Gn3hBle/KI6dLojt0rZm6YowUUEpqsS97P/b2tp8DyJc/rE/0yiQ1FfsSJ+dn/kuiWnJTtrW3MGCS9yZ/+hzUWnfpf2Fnorn/nctWi0d/LjqQdNT39h1sV9tbW0tN5YXi0XMmTOn4YWcEj0tL+ZMRM4wPj7uvMtV4ZHWjbPhJjT73TXZA7I4sj+biYFGKrjJQnq303EToj3BuyIYXN0lkSEJQxsp7yAToHmnS5tQIUJt5r5zUSOXkAsixu0yaP5BRTH3v8uWIH7itqdtx4k5uyzT5/3s504pm3al+wAVdH7i1NX2dP03rm2oH2ifsteRswWftG9x+w2ttw2tIyc8OSHXamIOAMbGxjB79uyGrzu3/0WVbyvS0mKOXiM3Pj7uvMtVkeEmHPqfXySME1N+6ehvXNl0UuLK4KIy0nZ2RMAlQoPiJ8akbVwCUPqP/s5NmgAf9asGVzlh8YsQSv9RocKJCBfS9rao40SG+ewSnK629vNDkAMhKV+pjpUSVIRJZQT1h6t/t+pkDgCpVApjY2MYGhpq+LNMKuaipWXFHHezA3dThBIMTuAEmaBcgolLb5fFQdd2c0WKaFlBIou0rrFYjF3dnhN/XJ3M/9ReTky57gJ0Rfm4bWhUiZtEXVFE12TsEjQuOFEiRUTp/672pbZJwku6qN6G+oB7oLydp3SwEKRdXf1S2gf8+prrQMtVb1c67kXTBqkn/R7kYEISctUcLDQz8XgcfX19GBkZaQpBp0RHS4q5fD6PHTt2sDc7qKCrHGnC4ASK6xSYXxTCL8Jn0nHLHph3e/KmE4sr8me/SxMIXYjWbGOfXrbL5AZbKgioEKECjJ4mowKREzKuO0VNntRmkyddJkUqj9ZVqqf03bbNJRD82s9Q6YXxkgimAtnYxQk5KuKo37jy7Pzod1c/peWaPDlb7bt7bb+bOtr/2wdLfkKa26+ktpeEq9SGUlvZdWpVEdPe3o6BgQEMDg42tKCrZD8Mmm8r0nJiLhaLYWRkBB0dHWInV0EXHioguP+5CYiKAPt7JUfV0uToZ0eYvKVoiyu9PQlJUTSpTE4k2QOha3KTIidcNM4vCibZS9vTJeQ4m6U2kHzkJ+btfkT7JNd2nOhwRc44ocIJCvszfcKHqw7c/iCJHDs91wYUqT2kvm1HnV1Py6A2SXZx9khp7XaiYpOrL7XLdSPGrk4ymWx4QadiLlpaTsylUim0tbX5dm4VdOGQBnIageIG5CDb0nT24G7/5ifiuDR0Ypb+4yY9ezsu8sDV0xWx8msXyX6XeLKjSK67VoOIDU5E+okSqX52GtrOUnqp/0htK73bn7kFgqmQsOvORbXMd06ABRFwXF2pvVy6MBOX3UaSAKX1tuvBtaFpA2Dq48FcgtG2xa8P2aKS84ldH84XrTqxA7UVdDt37owkHyU6Wk7MFYtF9PT0BOrUKuiCww3eFHtSCBKls9/DToJcGj8RR+12TXZS/tz/XL1cd4/aE5hkG1cfzmZbyHGC1q4TnTBpnpJo5EQLhyQgXBOuSyj6+cEgnW6n23FCjuYpRXyk9pKEnCTI7NObnJAK0tdNOlqeJHpMvekzgu062J/p6XlOBNI7emkdJEFJ28Iuw7bN7sdSP6D5tSK1EHSjo6MYHx+v2jaNzEVLy4m5bDYbqjOroAuHNHi70lERww30QXZQSXxRWyR7/ISFqyyTt5/ICLIWmXnRNbtovtwF+9Q+TmRLttuTJpePFNmToidc1IXaLE3mLtHCbeP3lAbz2bbLFguFQiGwWJeiTNQmLjrHLeEj2Wt/d6VxiRnOTio2bTFH28DVfna9uG24ZXA4ISeJVuNX2n60nrSdlalEKehGR0eRTqfR2dlZtV0q5qKl5cRcJaigCw4dXKXoURDhw+GXdxDbzGc/kSmVH7ZMuq0rGsGV54p02Z9pOpd44/KhedBIHhfZs220r62SRI+fSHNFoujkz0V6aH52Pbh6u15B4KJf3P9h8uTyriSt1Cfs9pKu5bPTmHSSQKXlhxHi5je/fm4LOdrOrvFCxd0kUQg6I+R6enrQ1tZWI0uVSlExFxAVdP64BBrARytckRi/CIurDJoHV2aYOlUSMXKJRTtPLlJisFfopxOtnSdXPz8hFzSaxb38nplqXx9pp5MEI7fQLgeN8th5cyJZEp5SxMwlimnbSELG1T/tPLk87HdpsrXztiO3tm3cs5Jp2Xb9TRtIgsnYwkXGuPyDtqG9rX2HNL2OkZ5irfQAp5WpRtDZQq67uzuSa+Y0MhctKuZCEFbQtdJAIk2C5l06og+64wUVUa4ojP2Zi9AFiQ5wZXLfpfwkUenKm7txhJ4KddkjCRA6EXPbSNE9Kho5m4ztVDRygtQlsv1soba7trFt5Ozi8qPilbaD5GMq0ulnrg5SBJT63VUujbDZ/9llcX0qyJglCWdaD65+9H+/gysqtrltJKHdSuNvUCoRdFTIRYWKuWhRMReSoILO8zxks9m62TXT2GtRSQO13wDs+s91RC6VwW0bJPITNKriKlMqQxIPnACQ8vGbqPwGsyARG84Wv0mXs9W1vcsH3G9+gz/1MY36BY2aSXZLUb5YbOqahX4CJYwNdvmc/UEEHU1Ho5P2/1wbSvbQz1y9pYMov/7NbSvZaOfH+UeZShhBVyshp0RP04i5L37xi7jtttuwYcMGJJNJ7NixY8Zs8RN0xWIRw8PDDbeuTy2hgy2NxpnfzbuJNpmJkE4+HHZUhYs0uAbyMMKBq1ul20p5mWiDX160XvYyEKb97DT0SRS0TJfosrd3CTlJpLrEAYfLh0Hb1iVCTD8LkheNntnb0Js+JHFlRxxpv/cTFjQaxy1IbPoMjar5iR9OCNH2s+tFxy3pubM0wkbbz3Vgx7W9/TKnVu1TrPSUMjfe0HwVniCCrh5CTn0UHU2jNrLZLE499VSce+65M20KgEkB19PTg3Q6jdHR0dLvxWIRQ0NDyOfzSCaTM2hhfaHXtfgJB27y8ou8GDjhx+Ul3XnpJ/KkvF12BH2ZdioUCsjn88jn8ygUCigUCr6ilou6cO1ubKbbmXJNWfa29jZS+3ECgXuFaWtqq93e3CQt9S/qL+kxW9LE77KD2kTTu6JRNL2fHWH2CVNv26fUv1JfogdW9gPquVeQNHZart9IfYX2Z9t++zPna1e7Bx1PWhUj6HK5HIaGhqYcXNZLyNXqFYb169fjpJNOwsKFCxGLxXDLLbf4bpPJZPAf//Ef2HPPPZFKpbDXXnvhhz/8YYUtEQ1NE5m79NJLAQBr1qyZWUMsaISus7MTQ0NDyOVy6OvrQ6FQmEnz6opLFAXduYIKOb88XJNfJUh14wQT/c5FjiTxAZQjb34TuJS3Xx0koWH/FtRfrkk1aFtTQUTfOXHK2WDqL4knu+3pu589fu0RpK60PkHS0s/cd7+DJj8hx5XH/U/FMb1hhfZrKuJpW3Oinzvwkfo7V0+/tlKmw0XoxsfHW+rU6vj4OA466CB8+MMfxrvf/e5A27znPe/Biy++iB/84AfYd999sWXLFudSUfWgacRco2ILunQ6jVgshoGBAQBoKTEnLaQqRU8kcWEP+tIk5YrwcA+gd012FFckyTXJSgQRfLFYbMrSD/RlJjZ7O78LwqUJj9uGm6wlm7nyXHdOuqJ1NAIorcFHbXb5VBLZdltTUcLl6xIGQYUZFy2w706ulCDRSc6OoJ852yUhR/dXySbpFCndTlrzjktv+8zuv5UetLUqtqDbsmULANRFyFUSRQuabxhOOOEEnHDCCYHT33HHHbj//vvxzDPPYO7cuQCAvfbaK1SZtWCXFnOZTAaZTKb03UTQoqazs7OUdyqVQjKZbKmbHyj2QGue7ShNYJxgkiIn0tG39HQDO439jMkw9eDEJpe/S/j5Qa+do/XhJjTOVmo3J2qlSIckVGkenGCnn7m24ERSEN9x9XTVhWsDzuawE4nUVn7Y4sf+jdosCVAqWrhTpy4RB0x9AoZLpFE7uCdncOnNZ9eadUZwmW2k57yaA2BzetVVL5p/JQdbyiTJZBKpVAoTExMAEMmiwH40ipgLyy9+8Qscdthh+M///E/8+Mc/RmdnJ975znfi85//PGbNmlXTsl3M6DVzF110kXNwicViePLJJyvOf9WqVejt7S29Fi9eHKH1k5hr5GKxGDo6OjAxMTHlGrpWgzsql460gwogvz5ip/HDLw2dKKT60TL9bJQEiyvyILWVS1RSW6VIiVSuVEeX3UGEJieGwoo4apvrP5ewkPIxNvkhiTD6v0sISQKK8490PSpXDq2L60Wf12t/l0S2n88k+7kxIMg1tn5jhKs/K8EZHR3FxMQEOjo6EIvFpl1D14yYs2XmZQd2quGZZ57BAw88gMceeww333wzvvnNb+Kmm27Cxz/+8Ujyr5QZjcz927/9G8444wxnmr333rvi/FesWIELL7yw9D2dTuMLX/hCxflRjJDL5XIYGBhAMpksXTg6e/bsllolW4rG2NeAcYO/JEjM9nQSkYQNd9cijTLYF1EHrYcENxFLdtt52xOwtBiwiSByC+9y5dO2dU140vNe7TRS3ex01O4gEynnW0kccHcuB82fq4urDvb2UllBDgKoYJXqZj+mzd7OlGv+o2vimXeXbVy/MOLMLt9PVHL1c9Xb9aJjgEvISuMIrZcN9Rn1heKG3uyQzWYjfZarRJCDuErzBTAteLNy5UpccsklVedv9s9rr70Wvb29AICvf/3rOOWUU3DVVVfNWHRuRsXcvHnzMG/evJrln0qlkEqlapI3J+SA8jV0O3bsqEuoupEwg26QSA3gFkT0d26g5raVyuO2kaI8rggVtdOekKU0NH9Afq4qLZ8KriATN1dHl+iiYpLazbUTXaGfQu2U+kWldxzTNpHqxUEFgmQ3Z4NrmyD/GZFGl4Ch0GtQXXcsU2Fs/rPb1vQL+6CH9hWboG1J+5f9WTolLAk625f2QQ3XP/1w7eNKGe6u1Sif5eqi1mJu06ZN6OnpKf0elRZYsGABXvGKV5SEHAC85jWvged5eP755/HKV74yknLC0jTXzG3cuBHbt2/Hxo0bUSgUsGHDBgDAvvvui66urrraIgk5Q3d3N/L5fMteN+cnBKT/OKHimsil73b+XOSFm8y5CdIPv0iDVB97QuNEKrVREglcJIirAyfignyW8IvISfV2iWGubD8xRj/b5VDRLAmWSiYTKUrERYRcZUh1d/VFLl+pXbk7Tv36qmSHXZ7rIMjv4MHV3lw5foKbq1utRMKuhmv5kXoJulrS09MzRcxFxdFHH40bb7wRY2NjJe3xl7/8BfF4HIsWLYq8vKA0jZi7+OKL8aMf/aj0/ZBDDgEA3HfffVi6dGnd7PATcobOzs6WOiq0d3SXmJMiHK7oht+EwA3eUnSLiio7jWQjF6Hzmzy4/7kJzy6TCji6cCzdzhU5lCZVeqqZCkJ6apdrVxp5kRY/phMtbecg/YRrU84uV52ldnKJIS5v24eSIKLiUrLRpHe1N+cjeiAQRNjYv3ECj7PRtpN7XiutKyfqadvZn/2EF+3zrnblfMC1j1ImyDpytRZ0tRLdYfMcGxvD008/Xfr+7LPPYsOGDZg7dy722GMPrFixAps3b8Z//dd/AQA+8IEP4POf/zzOPPNMXHrppRgcHMSnPvUpfPjDH57RGyCaRsytWbNmxteYCyrkDIlE0zRv1bS1tTmjP/Z3bpKx03CTpoRrQPCLGElPlODskSYMqW62GLPzNBezm+um6B229vZtbW2+QpXaR9tfWlSYpuOEkO0jThRKiw7TNg8qwKgtdh5+n7k8qIC1BQEVE9wkRcUKLceV3k7L+YkT91z+rkgV1yfpd6ntJfHI1dNlj6v+LsFrt7udH20vrq1dfV7xJ8yCwLUUdI0i5h566CEce+yxpe/mOvvTTz8da9aswZYtW7Bx48bS/11dXVi7di3OP/98HHbYYejv78d73vOeSK/Hr4TWURtVElbItRpGzNGjeNfgLkUPzPb2u0ESXdzAb//PDUB2VETa3jVBBp1E7AgM/czVg95dSOsjiQADF5nihBwVzrbI5ISqJOToZC/djEJ/o9faST53CRK/fiKJViriJKHEleFaU1ESPjZ2mZL4s7eXxDKNPtH/pUnXLtPvkXKSmLLTc2LTvuEo6JJAdn2oryQ/S7gOMFqZSp7swAm6XYmlS5c6+xUXRNpvv/2wdu3aGloVHhVzAVAh509bWxsr5KTJiJuYDEGjA64oAZevNLBLEQBuey5q5xJVklg1nyXRS4WjbSetOy3TvLsEH7cdJ/y4PGn70InXhZ+/XILcJXyondQ++jttPyqKXAcR3PauOkn1qUZoSAcCfnbQyJe9rdRuYeyxv1N7gtTX7tthRJyKNn+qeUQXFXRRnE5slMjcrkLLibmwjlYhF4z29vbSsxTtCAbgPnXm8oeJAtEB3RY6fvna7/YpT0680AiDFJmjNnK20aifNPnSCBG37hcXJXIJDq5ukrDjom7UNoMdiePan+YliSW7/pIA42ykv9l14vqaK7LjJ0LpNkH6ICeQpH7EfXYdsFCx6WojTtRR+119nLYDzYv+zx2g0HLtpVjCPIdZOuDhyldkonjWqi3ocrlc1TapmIuWlhNzqVQK+Xw+UFoVcsFJJpNTxJy00CkHFSuSKOGgj8GSRAMVRvRaL9sGuiYXl8Z+pyLHFmamLaRJkk6oVOC5om9cu9kCmJ4G9RvkqDCSbDDf7dNndv05YWjypeKFm/hp3WyCLDRr5+ESifZ2LrErlcO1jdT/JEHP2UHLlnAJeqkOtD1MHSS7pTw5AUgPhuxtuf7tmsyl/7h90P5sjweS7a1GFELOYATdiy++GJF1SlS0nJgrFosYGRlBR0eHU5ypkAuHWSCZThhmcOVEGhDu9CqXjuKKjPhFEej2XD6SHS4RykV5pPr5TXJ2eZKY4/Ll6ucSAn752Hlxj2uTRBqXxu4LXHTLTs+9XLgibpIQc9nrqpcrckYFj58fgtYviPjj8uPElqvPudpF2p6rK9cOXDty4tKuD60b/V2ZJEohZ0gmk1PWWKsUjcxFS8uJuWw2i7a2NgwODooiTYVceBKJxBSBJF0kb0eMzHf6TqMHrgnKL5Lld4RP8zTvVABKpztpnex8Tf1d5XA2cROZS8gEFTlUKLqEsh1Fk+70NO/GXm7ZE26dN8nXto2cTXY7S9tKtgURYeY/qW9QMUT7Kc2Tnk6kdaP1ogsx232cayNXH5Haz/7NjspxdeDysOvO7SN2X6A3Pth14fqgq8/SvsQ9PcXUya8urUIthJwhipUaVMxFS8uJOWByMcGXX36ZFXQq5CrDfnQZHeg5kSEJOpcQsdPaZXHRHCkix+VL7ZT+Ny9uqQtqjz1Bc9DJSJpUaZtxa7u5IhVUSLhElUsEUGFH21uK/nDCl9rJ5Uf9zQlErr2oWKDXSXJ50jzof64yuPZ1vey605ct4KQHzVPxRG2m/ufqJPV3e7+V+gYnmGk7mHdOzHG4RBy1je4v9J0ePEhl7urUUsgpjUlLirl4PI7+/n4MDQ1NEXQq5CqHG9T9BJSNNAGZ9OY/TkCZ/zhh58rPhRQR8cuXE1bcpClNpC57uPz8ojCc0LVtlaI23Gd74rTz8pukXf6y4SJZfu0m1VESXFx9giIJN9t+7n9OmEpCjovOSQcqtk1cvkHrSIWaS+S7BDBtK1scusqmgixo/kHyaUUxNz4+jp07dza8kPPrG9Xk24q0pJgDpgu6/v5+pNNpFXIVIkUbKFQQmG3td5revJvP9GHjnBCidnATq+th7tyAwAkZqV5ctIVGsLiHptNtqW3md+kuX9qOrgiR+d++rtEuh+ZB17xzRV3s7/Z6Y7SO1G4uwkPz5iZ9GrGSDiqoD6ig5fxuR6u4dpTaVTpoMe0hnVo1NxJxCzLb9aMChoP2O+5/SdD77cd0e0lQ03UVufKkAw5ajmkfrny7rs326KmoyOfzGB8fx5w5cxpayAEq5qKmZcUcUBZ0g4ODGBwcBADMmzdPhVwF5PP5aXezUsHCDfrcgG6nkyZF6akGnHAy/9FybbHEXdtHBY4ryiFNatxkSMWa/TsX6aHbSfX2G8RcQkCaaOm1T9wiu642seFEo8tWWo5r8Lfr5idg7fJd16bZbcPZIYkXScSZdyrKpWvlOHEt2SAJKtpGrjb3E3N+PqdtyB3gcHZI+yhnP+C/CHGrTuYAkMvl0NXV1fBCTomelhZzSnSYSIIRc9xEYHANxBKuQZ7LlxNf0mTFfecmPiltkAmSE0l+wlCKZrjsNrb7wUWaJMHKiWO/enPbc+3A2cwJAlc9zLtLbNF8/Q4s6H/090qjCnTfcN3QIZUt1UESl66+4ToQqGaf5balUVG7fKlOtt30AMSkl6J6SmOjkbloaWkxZ66Ry+fzGBgYQDqddt7lqshks9kpAoWLyFG4iIP9nYusSOmp4OAic67JiZtQXWKUlus3kUoPuKfCzV6bzvM89tQktZV7ELqxQ5qo6f9cBIpDmlBdwtcVzXFFX102c9encb/Z383nIASJeNlCk/M/FxGUhBz9XypTOoXMiR9qpyTS7c/c/kLfXQKYpqdCjiuDOxih9ZL2L+5xd3727cq0t7djbGwMiUSi4aNzKuaipWXFHHezA3dThBKMTCYz5TuNPLmiJNLv9gRt/yZNYtLkaeyR7izlbODyovm6JiApAhJm8qZ1lMQmzcMWhXTytPO3J3NOkNLPrsFXqp8kimiett2SLTSN9JttEz0tLAlirl6SCLL/o+XZdrmWdOHaL4g4pOJFEnOuB9hLByb0WjS6LW0/DnrQQsvg8uXuTubEGre/+YnAoPv8rkIikUBXVxfS6TQANLygU6KjJcWcdNeqdJer4g99qgYd7O3JhjuatrdzRR788pUiWfYF5a4oBmeTH/aiuS57abSSm1g5m/yiJ35RF6k8WpY9QdKJ1U+s2uKQCkVqCxU85p1e8+ZnJ/ey29HVvtx3yUZOjIRZJJk7QLGvRTRl2E8voG1mt5PUPzmBa7eD2Q84e23fGaRrOqmtnM848Wbna9tD07j2R9dBAU1r2q3V6OzsRCKRaHhB5zo4rDbfVqQlxZzp5JxYU0FXGVGdzvDbEV0TvWRXkEhY0PK59NwkRCdk6c5U+zfz2UyU9tp9Lhu5tucmPU6AmbSSiLC35fKSon1SlImWzUWduKiLazt7W2MT17Z+SILAztf1nSufy5/ab7ZxiTQ/oUvtl0Sf1K5+9aHfXQJL2t/s9yCP+nNFAO36cO+tjhFwjSzoVMxFS8uJuWQyiUKhgN12200UaSroqiPozhREuHFIURBXJIa74YAKkaBQwQaUIwDS6S1aJndqiYt4UNvsKApnExfZlKInXH2kPLh09DPNk07unC2mvdra2tgFibk2NP/bkVhOXNrbcnbawtOvze0olXTTgi1mabRLEvwmOmeidZygNu3jJ+Zo29g2SU/ioL6m7cN9tuvDCTe7TOlgyry4yx/sdjFtwq1BSNvT/r0SMb+rUUtBF/T55kr9aDkxF4/H0dvb6yvOVNCFw/UYHdeAyokSv6N1825PHH7p7N8lISQhiQFuQqERItdadq5Hfdnbu4QItd8WSfTUpXQ9WpDohyR0qC30u0tc2vbR6+C4qA4VFNQuKoxtQSHVV1rol2sDrm62XbYI8YsO0vJcj7+ibSRFIalvJEHOta+r7q7+YfdR+hxm14sux8K1jZ+YpGmoyAwS2dvVqYWgy2azGBkZqTofvwOTavJtRVpOzGUymcDPlVNBFxwTOQAgTnY2riiI+U2KakmDPM2fDviSiJN2fioYue25ly3WOOFDJ3o7fzu9HZWgdlIBSQWF8YeJeHGTtRTFksQr12YuQW3Suf7jBnRJxEmihSKJBdqnXCLZ1Vf8xI0tcCThaws1z/OmRKKoHZwApnW1y6b9ldrLiSvOF5Jo4vLifufahPMNFZRcXehn6hNO/HFCsRWJUtBls1kMDg6Kl4CEpVWFVy1oOTEX9khNBV0wjECmYoG+DC4hRz/beUn/2Z+5I3Y7YmLjZ4ctqLhTVXbExE+c2u/cBOYSNpyYkCJIdlSOijmpzaQyadlcebSt/YQg95lGjOyJ3/7siixR++3tpXKpaHT5SaofzcfuJ9KBAK073Ya7ocbua67yTXk0UsY9OYQ7sLDz5IScqz5UREove8Fk2hbUx5wodfVL224Vc5NEIeiMkGtvb8esWbMitU+pnpYTc5Wggs4fO9opTcoGvyN5v9/8IiMUOkHQ/7jtpQmOfuZe9nZ2eioIOXHjd6QqCTl7+7a2tpKISyQS08ScaUP7TkL7d04029cE2uW5hDpnL9d+tCxuwqdiDpge+QwrGIIeIHDtbefF5UHt5fxrf+aumfPra7RtuX3DJaY439H6UVuktvD7z/aDdIBnl8W1LXcAwpXnOlBpZaoRdLaQ6+/vx8TERNX2uA78qs23FWm9+7YrxAi69vZ2DA4OIpvNzrRJiqIoihKY7u5u9PT0IJ1OY3R0NNA2VMhFtdyL64C42lcropG5EISN0LXSHT+JRMIZ5aGREBspmiCdHqP5B4kE0Yd92/9xUTiuLvQCdBp146Jfpt525MXGFZGTokYmPRdhoqdXTZROOvVFoyX0VBy9oJ+eeuOiLLQNuagcV2cuqiZFkexnzHLbu6I/tC+4okCcP7lILfWT3ba0z9CIHPWp5Gu/dH6RRrstufYK6idqA42oSdEwLmImRUClqJ35zEX6pf6kTCVMhK5WQk6JHhVzIQkq6MbHx5HL5WbAwpmhvb192qRLB1zX4Op36kU6deJ3+s5GOmLjJj76OxU39EiQu0mBWxyWLrlg0tk22uXTuzGlu4btvFxizvikUChMm5CNgDILy0o2SW3FiWLOVikPagfXXzgxatfDJQCl8sx2VKhJSCKQs9P+zgk32k7c3bC0n9l9gIpxrmwq+Ln2C1JX+pvJy36XcIlsu55035LyMPXmTqFT25TpBBF0tRZytYqiaWROCYyfoBsdHcXY2Bg6Oztn0Mr6snz58pk2QVEURQmIS9DVIyKnYi5aNGZaIdI1dKOjo0in0+jq6gq8BIqiKIqi1BvuGjo9tdqcqNqoAhqhS6VSmJiYQE9PT+mzoiiKojQqdoQum80ik8nURchpZC5aVHJXiRF0nudhYmICHR0dDfkcPEVRFEXh6O7uRkdHByYmJuB5Xl0icmHvUA3zakVUzEXA+Ph46XMmk9FlSxRFUZSmwUTkDPacpjQHepq1Ssw1cj09Pejs7Cydcu3t7Z1p0xRFURTFCb1Gbnx8PNJnuUroadZoUTFXBbaQM53eXEM3PDyMrq6uGbZQURRFUXi4mx2ifJarCxVz0aKnWSuEE3JA+Rq6RCKhp1sVRVGUhsR112olT4pQZhaNzFWAJOQM8XgcfX19pSMbRVEURWkUgiw/UusInUbmokXFXEj8hJwhFos5H/WlKIqiKPUmzDpytRR0KuaiRcVcCIIKOUOrdipFURSl8ahkQeB6XUOnVIdeMxeQsEJOURRFURqFap7sUItr6Bplnbn169fjpJNOwsKFCxGLxXDLLbcE3vY3v/kNEokEDj744HCVrwEq5gKgQk5RFEVpVqJ4RJct6Hbu3Fm1TY0i5sbHx3HQQQfhyiuvDLXdjh07cNppp+Gtb31rqO1qRcudZk0mkygWi4HTq5BTFEVRmpUon7Vq5sDt27dHZd6Mc8IJJ+CEE04Ivd0555yDD3zgA2hrawsVzasVLReZi8fjSKfTgQSdCjlFURSlWYlSyBm6u7vR2dlZdT6NEpmrhGuuuQbPPPMMVq5cWfOygtJykblMJoNCoYChoSFn51YhpyiKojQrtRByhtmzZ1edR63vZqVLg6VSKaRSqarz/+tf/4qLLroIv/71r5FINI6EarnInOd56O3tRS6Xw9DQEBuhUyGnKIqiNCu1FHLNwuLFi9Hb21t6rVq1quo8C4UCPvCBD+DSSy/Fq171qgisjI7GkZV1JJFIYGBgAIODg9MidCrkFEVRlGYll8thZGSk4YVcrSNzmzZtQk9PT+n3KKJyo6OjeOihh/DII4/gvPPOAwAUi0V4nodEIoG77roLb3nLW6oupxJaUswBkzdCUEFnHjCsQk5RFEVpNorFItLpNFKpVEMLOaD2Yq6np2eKmIuCnp4ePProo1N+u+qqq3DvvffipptuwpIlSyItLwwtK+aAqYJuy5YtAKBCTlEURWlKMpkMEolEwwu5RmJsbAxPP/106fuzzz6LDRs2YO7cudhjjz2wYsUKbN68Gf/1X/+FeDyO/ffff8r28+fPR0dHx7Tf601LizlgUtClUilMTEwAQCR36SiKoijKTNDV1dUUQq5RHuf10EMP4dhjjy19v/DCCwEAp59+OtasWYMtW7Zg48aNkdpYC1pezI2OjmJiYgIdHR3IZDK+d7kqiqIoSiMSj8exY8cOJJPJpng2eCM88nLp0qXwPE/8f82aNc7tL7nkElxyySXRGlUBLa1Y7Jsd+vv7MTAw4LzLVVEURVEalWQyiUQigcHBQWSz2Zk2R6kjLSvmuLtWzTV0KugURVGUZiMWi6Gvrw/t7e0NL+iaedHgRqQlxdzOnTvFu1ZV0CmKoijNSiwWQ39/f8MLOhVz0dIUYu65557DWWedhSVLlmDWrFnYZ599sHLlyoo6aSKRwPj4uPOuVRV0iqIoSrMSj8drKuh0Tmw8muIGiCeffBLFYhHf+c53sO++++Kxxx7D2WefjfHxcXz1q18NlVcikUBnZ6fv8iPcOnR6U4SiKIrSDBhBNzQ0hMHBQQwMDERyU4RZy65aGuVu1l2FphBzb3/72/H2t7+99H3vvffGU089hdWrV4cWc/l8PvBz5VTQKYqiKM1K1IKuWCxiaGgIhUKhattUzEVL0yqTkZERzJ07N/R2+Xw+VHo95aooiqI0K1GdcjVCLpfLobe3N2IrlWppSjH39NNP49vf/jY+9rGPOdNlMhmk0+kpr0pQQacoiqI0K9UKOlvIDQwMIJGo/qSe3gARLTMq5i666CJfpzz55JNTttm8eTPe/va349RTT8XZZ5/tzH/VqlXo7e0tvRYvXlyxrSroFEVRlGalUkFHhVxUixGrmIuWGRVz//Zv/4Y///nPztfee+9dSv/CCy/g2GOPxVFHHYXvfve7vvmvWLECIyMjpdemTZuqsjesoFPBpyiKojQKYQVdrYScEj0zegPEvHnzMG/evEBpN2/ejGOPPRaHHnoorrnmmkA3IqRSKaRSqWrNnELQmyJyuVzDru+jKIqitCZBb4qotZDTGyCipSmumdu8eTOWLl2KPfbYA1/96lexbds2bN26FVu3bp0Re/widNlsFsPDwy3bqRRFUZTGxS9CV4+InJ5mjZamWJpk7dq1ePrpp/H0009j0aJFU/5zPSC3lkgRumw2i8HBQSQSCQ1JK4qiKA2JFKHTU6vNSVNE5s444wx4nse+ZhIaoctkMhgcHER7ezv6+vpa9ghBURRFaXxohC6TydRNyGlkLlqaQsw1MkbQ2RG5/v7+lu1QiqIoSvNgBF0ikSidcq1HRE7FXLSomFMURVEURWliVMxViYnImQhdPp/H0NDQjJ8CVhRFURQ/zDVy+Xy+FJGr5kkRQdHIXLSomKsCI+Ta29vR39+PVCpVuoZueHhYBZ2iKIrSsNCbHVKpVCSP/gqCirloUTFXIVTImbXm7AidrjOnKIqiNCLSXatRPctVqS8q5ipAEnKGZDKJvr4+jcwpiqIoDYff8iP1EHQamYsWFXMh8RNyhvb2dl2fR1EURWkogq4jV2tBp2IuWlTMhSCokDMEeeSYoiiKotSDsAsC6ynX5kHVRkDCCjlFURRFaRQqfbJDrQSdRuaiRRVJAFTIKYqiKM1KtY/oooIun89XbZOKuWhpOVWSSIR7HK0KOUVRFKVZiepZq7agGxkZidhKpVpaTpkkEgns3LkzUFoVcoqiKEqzEpWQMxhB19bWVrVtGpmLlnBhql2AfD6P8fFxpFIpdHd3i+lUyCmKoijNStRCzhCPx9HT0xNJXq0qvGpByymUfD6Pzs5OpNNpjI6OsmlUyCmKoijNSq2EnEHnxMaj5SJzADB79mykUimk02kAmBKhUyGnKIqiNCue59VUyEVFrU6Jtmq0ryXFHFAWcLagUyGnKIqiNCue52F4eBjFYrGhhRygYi5qWlbMAVMFXTabRSaTUSGnKIqiNCXZbBb5fB7z589vaCGnRE9LizmgHJGbmJgAABVyiqIoSlNSLBYxZ86cphByGpmLlpZXLSYiZxgfH59BaxRFURSlcsbGxlAsFmfaDF90aZJoaWkxZ18jt2DBAvT09DjvclUURVGURiWVSiGfz2NoaKgpBF0jsH79epx00klYuHAhYrEYbrnlFmf6//7v/8bb3vY2zJs3Dz09PTjyyCNx55131sdYBy0r5ribHbq7u1XQKYqiKE1JPB5HX18fcrlcwwu6RonMjY+P46CDDsKVV14ZKP369evxtre9DbfffjsefvhhHHvssTjppJPwyCOPVNIMkdGS18zl83ns2LGDvdmBu8tVURRFUZqB9vZ2DAwMYHBwEENDQw17HXijXDN3wgkn4IQTTgic/pvf/OaU75dffjluvfVW/M///A8OOeSQUGVHScuJuXg8juHhYaRSKfT09LAPDE6lUpg9ezZ27NhRWmQ4LLlcDvl8Xp9hpyiKotSckZER5PN55HI5tLe3o7e3F8PDw3jppZfQ19cXqXDi5s1WpVgsYnR0FHPnzp1RO1pOzM2dOxfZbBae52Hr1q3OtPl8HoODg9i+fTsSiXBNVSwW4Xkebr/99inbep5XKj+ZTPoeMRWLRWSzWcRiMSSTych2SHun96tbWJuDErZuYWwOivqjjPqjjPpjEvVHmUb3hznjFIvFSr8Xi0W8/PLLGBsbQyKRiMwfuVyu6jxqHZkzZ9cMqVQKqVQq8vK++tWvYmxsDO95z3sizzsMLSfm4vE42traAj0oOJlMIpvNolAolL6HwfM8pFIptLe3l74PDw8jn8+jr6+v9Lsf7e3tGB4eRqFQiOQIa3x8HOPj4+jq6gocdezo6MDw8DDGxsZC2S6Ry+WQTqeRSCRC1Wl8fBxjY2OhbJdQf5RRf5RRf0yi/ijTDP7I5XKIx+NTxJz5ns1mkcvlIhG32Ww2kmvxai3mFi9ePOX3lStX4pJLLom0rOuuuw6XXnopbr31VsyfPz/SvMPScmKuUCggHo8H7tAdHR3IZDKlo6wwyr5YLKK9vR3JZLL0rLxisRh6QcdkMon29nYMDg4inU5XdQ3E6Ogodu7ciTlz5oS+HnD+/PkYGhrCyMhIVauLZ7NZjIyMIJVKha5LMplEIpEoDayVXtOo/iij/iij/phE/VGmmfxhhJxtIxV0qVSqYn9kMpnSHNrobNq0CT09PaXvUUflrr/+enzkIx/BjTfeiGXLlkWadyU0vkcagFQqhUQigXw+P2VNuqBE8dDjZDKJgYGBqu5SGh0dRTqdRk9PT0WDSjweR39/f2mgzmazofOI4pFp1d51rP4oo/4oo/6YRP1RZlfxRyKRQDKZhOd5yGQyFfnDBDUSiUQkp41rfTdrT0/PlFeUYu6nP/0pzjzzTPz0pz/FiSeeGFm+1aBiLiCVCroodkRDNQNktQOjoZoBMspn31Y6QKo/yqg/yqg/JlF/lNnV/FGNoLOFXFSiqFGWJhkbG8OGDRuwYcMGAMCzzz6LDRs2YOPGjQCAFStW4LTTTiulv+6663Daaafha1/7Gl7/+tdj69at2Lp164zf7KhiLgRhBV2xWMSOHTsi2RENlQyQUQ2MhkoGyCgHRkPYATLKgdGg/iij/phE/VFG/VGmEfxRiaCrhZBrJB566CEccsghpWVFLrzwQhxyyCG4+OKLAQBbtmwpCTsA+O53v4t8Po/ly5djwYIFpdcnP/nJGbHf0HLXzFWL6czm1mypc3ueh0KhUJOHHpsBMsg6QlEPjAYzQA4NDWFwcNA52NRiYDQEXRewFgOjQf1RRv0xifqjjPqjTCP4w5wiNY+ydF1DV0sh1yjrzC1duhSe54n/r1mzZsr3devWVWBV7dHIXAX4ReiKxSIymQw8z0NfX19NHnoc5Ii3VgOjIcgRby0HRoPfEW8tB0aD+qOM+mMS9UcZ9UeZRvBHkAhdrSNyjXKadVdBxVyFSILOFnKJRKLqW+JduAbIWg+MBtcAWY+B0SANkPUYGA3qjzLqj0nUH2XUH2UawR8uQbern1rdFVExVwVU0NlCLsrFKl1wA2S9BkYDN0DWc2A00AGyngOjQf1RRv0xifqjjPqjTCP4gxN09RJyGpmLFr1mrkrsa+jy+XxpdfB4PF63hxzb16Rs2bIFAOo2MBrsa1K2bdtWsqvezwW0r0lJp9OIxWJ1GxgN6o8y6o9J1B9l1B9lGsEf9jV0L7/8cum3WkfkGuWauV0FjcxFgH0qNRaLRfboljAkk8kpO1+1q41XQjwen7JIY09Pz4wsLmnXPZVK1XVgNKg/yqg/JlF/lFF/lGkEf9BHfdXy8iClNqiYqxITljYrb5vv9WZ0dBQTExPo6OhALBareKHOashmsxgaGkJ7ezva29sxNDRU0UKd1WBOVcRiMXR0dGBiYqKihTqrRf0xifqjjPqjjPpjkkbxhznFap4WUenCwmHQ06zRomKuCug1crNmzSpdQ1fPQcG+5qS/v7/qldcrwb7mZGBgAAMDA1WtvF4J9JqT/v7+qlZerxT1xyTqjzLqjzLqj0kaxR/2NXKzZs2q+kkRQVExFy0q5iqECjlzatXcFGHWmKs13MXDUTxKJwzcxcNRPEonDNLFw9U+Sics6o9J1B9l1B9l1B+TNIo/uJsdonj0l1J/VMxVgCTkDKlUCm1tbSgWixgfH6+ZHa67wOo1QLruAqvXAOl3F1i9Bkj1xyTqjzLqjzLqj0kaxR+uu1brIeg0MhctKuZC4ifkDOaO1rGxsZrskEFu56/1ABnkdv5aD5BBb+ev9QCp/phE/VFG/VFG/TFJo/gjyPIjzSroWhUVcyEIKuQMiUQCXV1dke+QYdZlqtUAGWZdploNkGHXZarVAKn+mET9UUb9UUb9MUmj+CPMOnJ6yrV5UDEXkLBCztDZ2RnpDlnJAptRD5CVLLAZ9QBZ6QKbUQ+Q6o9J1B9l1B9l1B+TNIo/KlkQuFaCTk+zRouKuQBUKuQMUe2Q1ayUHtUAWc1K6VENkNWulK7+mET9UUb9UUb9Mcmu5o9qnuxABZ3rwfRBUTEXLS0n5sI6ulohZ6h2h4zikTfVDpBRPPKm2gEyqkfeqD8mUX+UUX+UUX9Msqv4I4pHdNmCLpfLVZSHUjtaTsyFecxWVELOUOkOGeWzCysdIKN8dmGlA2TUzy5Uf0yi/iij/iij/pik2f0R5bNWjaCLAo3MRUvLiTmg/BxVF1ELOUPYHbIWD6EOO0DW4iHUYQfIWj2EWv0xifqjjPqjjPpjkmb1R5RCzpBIJCKZD1XMRUvLiblCoQBgcoeXBF2thJwh6A5Zi4HREHSArMXAaAg6QNZqYDSoPyZRf5RRf5RRf0zSbP6ohZAzzMQzbBU3LemR9vZ2xGIxVtDVWsgZ/HbIWg6MBr8BspYDo8FvgKz1wGhQf0yi/iij/iij/pikWfxRSyEXFRqZi5amEXPvfOc7sccee6CjowMLFizAhz70IbzwwgsV5RWLxZBKpaYJunoJOYO0Q9ZjYDRIA2Q9BkaDNEDWa2A0qD8mUX+UUX+UUX9M0uj+MHNaIws5QMVc1DSNmDv22GPxs5/9DE899RR+/vOf429/+xtOOeWUivOLx+PTBF09hZyB7pD1HBgNdIDMZDJ1GxgNdIDMZDJ1HRgN6o9J1B9l1B9l1B+TNKI/xsfHkc/nUSgUGl7IKdET86JYMGYG+MUvfoGTTz4ZmUwG7e3tgbZJp9P48pe/jK6urtI2xWIRExMTpXVzUqlUJEKuWCyiWCxiwYIFgXZsMygCqOvAaJPNZrFt2zYAk6eiBwYG6n5tRLFYxODgYOnW93nz5tVtYLRRf0yi/iij/iij/pikkfyxY8cOTExMIB6Po6Ojo6bl5XI5fPazn8XIyAh6enpCbZtOp9Hb24sXXngh9LZB81+4cGFFtjUz9Qk/Rcz27dtx7bXX4qijjgos5BRFURRFaQxqdUpUT7M2AZ/5zGfQ2dmJ/v5+bNy4EbfeeqszfSaTQTqdnvKyMdfIAZMRuXg87rzLtVbYpypq+XBlF+aaE3MKI5/P1+Rh1y7MNSf5fL50qqIWD7v2Q/0xifqjjPqjjPpjkkbzR1dXF+LxOAqFQmleU1qHGRVzF110ke+FjE8++WQp/ac+9Sk88sgjuOuuu9DW1obTTjvN+ViRVatWobe3t/RavHhx6T/uZgfupohaQ685qdXDlV3Qi4dTqVRNHnbtgl48nEqlavKwaz/UH5OoP8qoP8qoPyZpRH90dnYikUigra2tdA14I6M3QETLjF4zt23bNgwNDTnT7L333uw1CM8//zwWL16M3/72tzjyyCPZbTOZzJQOnU6nsXr1anR2dqJQKLA3O0R1R2uQa+ZcFw/X68Ji111g9bpDzHUXWD3vEFN/TKL+KKP+KKP+mKRR/ZHNZrFlyxbE43Hkcrma3tEaxTVzL774Ys2umdttt930mrl6Mm/ePMybN6+ibc3Rl+voI5VKsR05l8shFouxYs3c5ZrJZEpHV7W4s9Vv8DO/mVPDtRgg/QY/cwpjcHAQQ0NDNRkg/QY/c9fY0NAQBgcHazZAqj8mUX+UUX+UUX9M0iz+MPOeOcOkd7bu+jTFNXO///3vccUVV2DDhg34+9//jnvvvRfvf//7sc8++4hROYm2tjYAcEbduGVLoiToUWwtT2EEPYqt9mHXLoIexVb7sGs/1B+TqD/KqD/KqD8maTZ/mJUZanHKNYp21dOs0dIUYm727Nn47//+b7z1rW/Fq1/9apx11lk48MADcf/991d0xBHk2XK1EnRhT0fUYoAMezqiFgNk2NMRtRog1R+TqD/KqD/KqD8maVZ/1ELQBXm2eRBUzEVLU4i5Aw44APfeey+GhoYwMTGBZ599FqtXr8YrXvGK0HkVi8XAofeoBV2l15VEOUBWel1JlANkpdeVRD1Aqj8mUX+UUX+UUX9M0uz+iFLQ5fP5ut+tqwSjKcRclIS93yMqQVftBcJRDJDVXiAcxQBZ7QXCUQ2Q6o9J1B9l1B9l1B+T7Cr+iELQGSEXi8UiWd9VI3PR0nJirhKqFXRR3elVzQAZ1Z1e1QyQUd3pVe0Aqf6YRP1RRv1RRv0xya7mj2oEnS3kzFxYLSrmokXFXEAqFXTj4+OR3rJfyQAZ9S37lQyQUd+yX+kAGfUSCuqPSdQfZdQfZdQfkzSKPyoRdFTI1fuRaUow1CshCCvo8vk8xsbGIl97KcwAWau1l8IMkLVaeynsAFmrtbDUH5OoP8qoP8qoPyZpFH+EEXS1FHIamYsWFXMhCSrostksisUiurq6arLmUpABstaLaAYZIGu9iGbQAbLWi5qqPyZRf5RRf5RRf0zSKP4IIuhqHZFrFDG3fv16nHTSSVi4cCFisRhuueUW323WrVuHf/iHf0AqlcK+++6LNWvWVNYIEaJirgL8BF0mk0GhUEA8HkdnZ2fN7HANkPVaDd01QNZrNXS/AbJeq9OrPyZRf5RRf5RRf0zSKP5wCbpWOrU6Pj6Ogw46CFdeeWWg9M8++yxOPPFEHHvssdiwYQMuuOACfOQjH8Gdd95ZY0vdzOgTIJoZ6UkRmUwG+XwebW1tNXlyBIVbeb1eA6OBW3kdQN0eawPIK6/Xa2A0qD8mUX+UUX+UUX9M0ij+4J4UUS8hV6tTomHzPOGEE3DCCScETn/11VdjyZIl+NrXvgYAeM1rXoMHHngA3/jGN3D88ceHKjtKVMxVARV0uVwOxWIRiUQC7e3tdXngMzB1gMxms8hkMnUbGA32ADk4OAhgcoCox8BooANkKpXCxMRE3QZGg/pjEvVHGfVHGfXHJI3iD1vQFYtFeJ5Xl4hco4i5sPzud7/DsmXLpvx2/PHH44ILLqhpuX60lJgza8wVi0XkcrnI8m1ra0MulyvlH4/HS0c6JlJXa9ra2hCPxzE2NgYA6OnpwcTERM3LpcyePRsjIyMAgN7e3shWCw/DrFmzsHPnTuRyOSSTSbS1tWHnzp11tUH9UUb9UUb9MYn6o0xU/igUCiUxVigUQm1rRJsJQCQSCRQKBTEfky7suq02JjobNSZfmr/0rPawbN26FbvtttuU33bbbTek02m8/PLLmDVrVtVlVEJLibnR0VFcfvnlM22GoiiKojQ9o6Oj6O3tDbVNMpnE7rvvjsWLF9fIKqCrq2ta/itXrsQll1xSszJnmpYScwsXLsSmTZvQ3d29S96+nE6nsXjxYmzatAk9PT0zbU5N0bruurRSfbWuuya7el09z8Po6CgWLlwYetuOjg48++yzNX0smDlVbBNFVA4Adt99d7z44otTfnvxxRfR09MzY1E5oMXEXDwex6JFi2bajJrT09OzSw4gHFrXXZdWqq/WdddkV65r2IicTUdHBzo6OiK0pn4ceeSRuP3226f8tnbtWhx55JEzZNEku+79xoqiKIqiKA7GxsawYcMGbNiwAcDk0iMbNmzAxo0bAQArVqzAaaedVkp/zjnn4JlnnsGnP/1pPPnkk7jqqqvws5/9DP/6r/86E+aXUDGnKIqiKEpL8tBDD+GQQw7BIYccAgC48MILccghh+Diiy8GAGzZsqUk7ABgyZIluO2227B27VocdNBB+NrXvobvf//7M7osCdBip1l3dVKpFFauXBnZtQGNjNZ116WV6qt13TVppbo2O0uXLnXelcs93WHp0qV45JFHamhVeGJeNfcWK4qiKIqiKDOKnmZVFEVRFEVpYlTMKYqiKIqiNDEq5hRFURRFUZoYFXO7KO985zuxxx57oKOjAwsWLMCHPvQhvPDCCzNtVk147rnncNZZZ2HJkiWYNWsW9tlnH6xcubKmi1LOJF/84hdx1FFHYfbs2ZgzZ85MmxMpV155Jfbaay90dHTg9a9/Pf7whz/MtEk1Yf369TjppJOwcOFCxGIx3HLLLTNtUk1YtWoVDj/8cHR3d2P+/Pk4+eST8dRTT820WTVj9erVOPDAA0vryx155JH41a9+NdNmKS2AirldlGOPPRY/+9nP8NRTT+HnP/85/va3v+GUU06ZabNqwpNPPolisYjvfOc7ePzxx/GNb3wDV199NT772c/OtGk1IZvN4tRTT8W5554706ZEyg033IALL7wQK1euxJ/+9CccdNBBOP744/HSSy/NtGmRMz4+joMOOghXXnnlTJtSU+6//34sX74cDz74INauXYtcLofjjjsO4+PjM21aTVi0aBG+9KUv4eGHH8ZDDz2Et7zlLXjXu96Fxx9/fKZNU3Zx9G7WFuEXv/gFTj75ZGQyGbS3t8+0OTXnK1/5ClavXo1nnnlmpk2pGWvWrMEFF1yAHTt2zLQpkfD6178ehx9+OK644goAkw/zXrx4Mc4//3xcdNFFM2xd7YjFYrj55ptx8sknz7QpNWfbtm2YP38+7r//frz5zW+eaXPqwty5c/GVr3wFZ5111kybouzCaGSuBdi+fTuuvfZaHHXUUS0h5ABgZGQEc+fOnWkzlIBks1k8/PDDWLZsWem3eDyOZcuW4Xe/+90MWqZEycjICAC0xL5ZKBRw/fXXY3x8fMYf9aTs+qiY24X5zGc+g87OTvT392Pjxo249dZbZ9qkuvD000/j29/+Nj72sY/NtClKQAYHB1EoFLDbbrtN+X233XbD1q1bZ8gqJUqKxSIuuOACHH300dh///1n2pya8eijj6KrqwupVArnnHMObr75Zrz2ta+dabOUXRwVc03ERRddhFgs5nw9+eSTpfSf+tSn8Mgjj+Cuu+5CW1sbTjvtNOdK141G2PoCwObNm/H2t78dp556Ks4+++wZsjw8ldRVUZqJ5cuX47HHHsP1118/06bUlFe/+tXYsGEDfv/73+Pcc8/F6aefjieeeGKmzVJ2cfSauSZi27ZtGBoacqbZe++9kUwmp/3+/PPPY/Hixfjtb3/bNCH/sPV94YUXsHTpUrzhDW/AmjVrEI83z7FKJb7dla6Zy2azmD17Nm666aYp146dfvrp2LFjxy4dVW6Fa+bOO+883HrrrVi/fj2WLFky0+bUlWXLlmGfffbBd77znZk2RdmF0WezNhHz5s3DvHnzKtq2WCwCADKZTJQm1ZQw9d28eTOOPfZYHHroobjmmmuaSsgB1fl2VyCZTOLQQw/FPffcUxI1xWIR99xzD84777yZNU6pGM/zcP755+Pmm2/GunXrWk7IAZP9uJnGXaU5UTG3C/L73/8ef/zjH/HGN74RfX19+Nvf/ob/83/+D/bZZ5+micqFYfPmzVi6dCn23HNPfPWrX8W2bdtK/+2+++4zaFlt2LhxI7Zv346NGzeiUChgw4YNAIB9990XXV1dM2tcFVx44YU4/fTTcdhhh+GII47AN7/5TYyPj+PMM8+cadMiZ2xsDE8//XTp+7PPPosNGzZg7ty52GOPPWbQsmhZvnw5rrvuOtx6663o7u4uXf/Y29uLWbNmzbB10bNixQqccMIJ2GOPPTA6OorrrrsO69atw5133jnTpim7Op6yy/H//t//84499lhv7ty5XiqV8vbaay/vnHPO8Z5//vmZNq0mXHPNNR4A9rUrcvrpp7N1ve+++2batKr59re/7e2xxx5eMpn0jjjiCO/BBx+caZNqwn333cf68PTTT59p0yJF2i+vueaamTatJnz4wx/29txzTy+ZTHrz5s3z3vrWt3p33XXXTJultAB6zZyiKIqiKEoT01wXFimKoiiKoihTUDGnKIqiKIrSxKiYUxRFURRFaWJUzCmKoiiKojQxKuYURVEURVGaGBVziqIoiqIoTYyKOUVRFEVRlCZGxZyiKIqiKEoTo2JOURRFURSliVExpyiKoiiK0sSomFMURVEURWliVMwpijLjbNu2Dbvvvjsuv/zy0m+//e1vkUwmcc8998ygZYqiKI1PzPM8b6aNUBRFuf3223HyySfjt7/9LV796lfj4IMPxrve9S58/etfn2nTFEVRGhoVc4qiNAzLly/H3XffjcMOOwyPPvoo/vjHPyKVSs20WYqiKA2NijlFURqGl19+Gfvvvz82bdqEhx9+GAcccMBMm6QoitLw6DVziqI0DH/729/wwgsvoFgs4rnnnptpcxTl/2vPDm0ghIIoik7QG3C0gEVhqYo+vqOAb5EUQEIFhG5QWwZMck4FI2/eQAqWOeATnueJaZpiHMcYhiFKKXHfd/R9//ZpAJ8m5oBPWJYltm2L67ri9/vFPM/RdV3s+/72aQCf5s0KvO44jiilRK012raNpmmi1hrneca6rm+fB/BpljkAgMQscwAAiYk5AIDExBwAQGJiDgAgMTEHAJCYmAMASEzMAQAkJuYAABITcwAAiYk5AIDExBwAQGJiDgAgsT9n2jSpDWtduwAAAABJRU5ErkJggg==",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sim_start = make_sim_base(params0, beta=1.0)\n",
-    "\n",
-    "ax = sim_start.plot_eps(z=0)\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "5dc853c5-a191-4602-bf5b-7fa8761d51f1",
-   "metadata": {},
-   "source": [
-    "### Select Input and Output Modes\n",
-    "\n",
-    "Next, let's visualize the first 4 mode profiles so we can select which mode indices we want to inject and transmit."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "6fc8e702-bfec-4b7f-8dd1-2b5189f9087f",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
11:01:07 -03 WARNING: The associated `Simulation` object contains custom        \n",
-       "             mediums. It will be automatically restricted to the mode solver    \n",
-       "             plane to reduce data for uploading. To force uploading the original\n",
-       "             `Simulation` object use `reduce_simulation=False`. Setting         \n",
-       "             `reduce_simulation=True` will force simulation reduction in all    \n",
-       "             cases and silence this warning.                                    \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:01:07 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: The associated `Simulation` object contains custom        \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31mmediums. It will be automatically restricted to the mode solver    \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31mplane to reduce data for uploading. To force uploading the original\u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31m`Simulation` object use `\u001b[0m\u001b[33mreduce_simulation\u001b[0m\u001b[31m=\u001b[0m\u001b[3;91mFalse\u001b[0m\u001b[31m`. Setting         \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31m`\u001b[0m\u001b[33mreduce_simulation\u001b[0m\u001b[31m=\u001b[0m\u001b[3;92mTrue\u001b[0m\u001b[31m` will force simulation reduction in all    \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31mcases and silence this warning.                                    \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:01:08 -03 Mode solver created with                                           \n",
-       "             task_id='fdve-4e5fa95b-d57e-438b-903c-2aa81e1b37bf',               \n",
-       "             solver_id='mo-23b407bb-6759-4421-ab18-cf2c9a49dcf0'.               \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:01:08 -03\u001b[0m\u001b[2;36m \u001b[0mMode solver created with                                           \n",
-       "\u001b[2;36m             \u001b[0m\u001b[33mtask_id\u001b[0m=\u001b[32m'fdve-4e5fa95b-d57e-438b-903c-2aa81e1b37bf'\u001b[0m,               \n",
-       "\u001b[2;36m             \u001b[0m\u001b[33msolver_id\u001b[0m=\u001b[32m'mo-23b407bb-6759-4421-ab18-cf2c9a49dcf0'\u001b[0m.               \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1e292e39985b44a3a694e69ac757c29e",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "627ddaf880e54969a9e04745d8a5e768",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:01:12 -03 Mode solver status: queued                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:01:12 -03\u001b[0m\u001b[2;36m \u001b[0mMode solver status: queued                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:01:29 -03 Mode solver status: running                                        \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:01:29 -03\u001b[0m\u001b[2;36m \u001b[0mMode solver status: running                                        \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:01:38 -03 Mode solver status: success                                        \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:01:38 -03\u001b[0m\u001b[2;36m \u001b[0mMode solver status: success                                        \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "39d09157fb1f4b9c9bfb84e71806fda9",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "from tidy3d.plugins.mode.web import run as run_mode_solver\n",
-    "\n",
-    "num_modes = 4\n",
-    "mode_spec = td.ModeSpec(num_modes=num_modes)\n",
-    "\n",
-    "mode_solver = ModeSolver(\n",
-    "    simulation=sim_start.to_simulation()[0],\n",
-    "    plane=source_plane,\n",
-    "    mode_spec=td.ModeSpec(num_modes=num_modes),\n",
-    "    freqs=[freq0],\n",
-    ")\n",
-    "modes = run_mode_solver(mode_solver, reduce_simulation=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "378dba26-b679-4302-8160-c6df489c7a65",
-   "metadata": {},
-   "source": [
-    "Let's visualize the modes next."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "72502ab0-1055-4409-b11e-fae676f1d53e",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Effective index of computed modes:  [[1.5720801 1.535463  1.3032304 1.1848152]]\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, axs = plt.subplots(num_modes, 3, figsize=(12, 12), tight_layout=True)\n",
-    "for mode_index in range(num_modes):\n",
-    "    vmax = 1.1 * max(\n",
-    "        abs(modes.field_components[n].sel(mode_index=mode_index)).max() for n in (\"Ex\", \"Ey\", \"Ez\")\n",
-    "    )\n",
-    "    for field_name, ax in zip((\"Ex\", \"Ey\", \"Ez\"), axs[mode_index]):\n",
-    "        field = modes.field_components[field_name].sel(mode_index=mode_index)\n",
-    "        field.real.plot(label=\"Real\", ax=ax)\n",
-    "        field.imag.plot(ls=\"--\", label=\"Imag\", ax=ax)\n",
-    "        ax.set_title(f\"index={mode_index}, {field_name}\")\n",
-    "        ax.set_ylim(-vmax, vmax)\n",
-    "\n",
-    "axs[0, 0].legend()\n",
-    "\n",
-    "print(\"Effective index of computed modes: \", np.array(modes.n_eff))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d5a09ce7-4e64-4ccb-8a8f-54c23c5c7d4a",
-   "metadata": {},
-   "source": [
-    "We want to inject the fundamental, Ez-polarized input into the 1st order Ez-polarized input.\n",
-    "\n",
-    "From the plots, we see that these modes correspond to the first and third rows, or `mode_index=0` and `mode_index=2`, respectively. \n",
-    "\n",
-    "So we make sure that the `mode_index_in` and `mode_index_out` variables are set appropriately and we set a `ModeSpec` with 3 modes to be able to capture the `mode_index_out` in our output data."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "14f6113f-e7fa-4c8d-93e4-9764f396caaa",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "mode_index_in = 0\n",
-    "mode_index_out = 2\n",
-    "\n",
-    "num_modes = max(mode_index_in, mode_index_out) + 1\n",
-    "\n",
-    "mode_spec = td.ModeSpec(num_modes=num_modes)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "5f7dc503-a3cf-486e-8779-727952a721df",
-   "metadata": {},
-   "source": [
-    "Then it is straightforward to generate our source and monitor."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "5bae2746-7ca7-420c-b727-309508621a5a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# source seeding the simulation\n",
-    "forward_source = td.ModeSource(\n",
-    "    source_time=td.GaussianPulse(freq0=freq0, fwidth=freqw),\n",
-    "    center=[source_x, 0, 0],\n",
-    "    size=mode_size,\n",
-    "    mode_index=mode_index_in,\n",
-    "    mode_spec=mode_spec,\n",
-    "    direction=\"+\",\n",
-    ")\n",
-    "\n",
-    "# we'll refer to the measurement monitor by this name often\n",
-    "measurement_monitor_name = \"measurement\"\n",
-    "\n",
-    "# monitor where we compute the objective function from\n",
-    "measurement_monitor = td.ModeMonitor(\n",
-    "    center=[meas_x, 0, 0],\n",
-    "    size=mode_size,\n",
-    "    freqs=[freq0],\n",
-    "    mode_spec=mode_spec,\n",
-    "    name=measurement_monitor_name,\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "87968720-3cd4-434c-97c4-acdb54b18b37",
-   "metadata": {},
-   "source": [
-    "Finally, we create a new function that calls our `make_sim_base()` function and adds the source and monitor to the result. This is the function we will use in our objective function to generate our `JaxSimulation` given the input parameters."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "5dfc5be5-99f6-4c9c-8d73-15e696933013",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def make_sim(params, beta):\n",
-    "    sim = make_sim_base(params, beta=beta)\n",
-    "    return sim.updated_copy(sources=[forward_source], output_monitors=[measurement_monitor])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "61522716-a26f-400b-a005-5d9493ef7264",
-   "metadata": {},
-   "source": [
-    "### Post Processing\n",
-    "\n",
-    "Next, we will define a function to tell us how we want to postprocess the output `JaxSimulationData` object to give the conversion power that we are interested in maximizing."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "2081ff1b-46fe-4bb0-9027-8c4ca0a359bd",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "def measure_power(sim_data: JaxSimulationData) -> float:\n",
-    "    \"\"\"Return the power in the output_data amplitude at the mode index of interest.\"\"\"\n",
-    "    output_amps = sim_data[\"measurement\"].amps\n",
-    "    amp = output_amps.sel(direction=\"+\", f=freq0, mode_index=mode_index_out)\n",
-    "    return jnp.sum(jnp.abs(amp) ** 2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a22f9915-559a-4f6a-a4d3-853f103aacab",
-   "metadata": {},
-   "source": [
-    "Then, we add a penalty to produce structures that are invariant under erosion and dilation, which is a useful approach to implementing minimum length scale features."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "b035a178-048c-4404-97c8-f694a94c087a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from tidy3d.plugins.adjoint.utils.penalty import ErosionDilationPenalty\n",
-    "\n",
-    "\n",
-    "def penalty(params, beta):\n",
-    "    processed_params = filter_project(params, beta=beta)\n",
-    "\n",
-    "    ed_penalty = ErosionDilationPenalty(length_scale=radius, pixel_size=dl_design_region)\n",
-    "    return ed_penalty.evaluate(processed_params)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "5863a5c3-3b5e-4927-9e18-749b660e7c3f",
-   "metadata": {},
-   "source": [
-    "### Define Objective Function\n",
-    "\n",
-    "Finally, we need to define the objective function that we want to maximize as a function of our input parameters (permittivity of each pixel) that returns the conversion power. This is the function we will differentiate later."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "71c5b2ed-a036-4578-ad44-89aa70f59e28",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "def J(params, beta: float, step_num: int = None, verbose: bool = False) -> float:\n",
-    "    sim = make_sim(params, beta=beta)\n",
-    "    task_name = \"inv_des\"\n",
-    "    if step_num:\n",
-    "        task_name += f\"_step_{step_num}\"\n",
-    "    sim_data = run(sim, task_name=task_name, verbose=verbose)\n",
-    "    penalty_weight = np.minimum(1, beta / 25)\n",
-    "    return measure_power(sim_data) - penalty_weight * penalty(params, beta)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "075f3d66-c98f-4410-829a-b178464de0b8",
-   "metadata": {},
-   "source": [
-    "## Inverse Design\n",
-    "\n",
-    "Now we are ready to perform the optimization.\n",
-    "\n",
-    "We use the `jax.value_and_grad` function to get the gradient of `J` with respect to the permittivity of each `Box`, while also returning the converted power associated with the current iteration, so we can record this value for later.\n",
-    "\n",
-    "Let's try running this function once to make sure it works."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "id": "9ee539ec-11a2-4107-8270-9d58c7607562",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "dJ_fn = value_and_grad(J)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "9c60dfdf-3518-44ce-b658-ea192950aa83",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
11:01:49 -03 Created task 'inv_des' with task_id                                \n",
-       "             'fdve-f3b38f0f-34db-4b3f-9513-dd50b621b10b' and task_type 'FDTD'.  \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:01:49 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'inv_des'\u001b[0m with task_id                                \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-f3b38f0f-34db-4b3f-9513-dd50b621b10b'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             View task using web UI at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3b38f0f-34d\n",
-       "             b-4b3f-9513-dd50b621b10b'.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=837104;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3b38f0f-34db-4b3f-9513-dd50b621b10b\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=793378;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3b38f0f-34db-4b3f-9513-dd50b621b10b\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=837104;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3b38f0f-34db-4b3f-9513-dd50b621b10b\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=731883;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3b38f0f-34db-4b3f-9513-dd50b621b10b\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=837104;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3b38f0f-34db-4b3f-9513-dd50b621b10b\u001b\\\u001b[32m-f3b38f0f-34d\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=837104;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3b38f0f-34db-4b3f-9513-dd50b621b10b\u001b\\\u001b[32mb-4b3f-9513-dd50b621b10b'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ac833e5ac2fd4f2b9d37956c9fcaf448",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "bf6c545e44484a6b8cfab94be8017f9e",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:01:55 -03 status = queued                                                    \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:01:55 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "84abcb1f0d9d4769956d9b921f9ca409",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:02:08 -03 status = preprocess                                                \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:02:08 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:02:12 -03 Maximum FlexCredit cost: 0.025. Use 'web.real_cost(task_id)' to get\n",
-       "             the billed FlexCredit cost after a simulation run.                 \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:02:12 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get\n",
-       "\u001b[2;36m             \u001b[0mthe billed FlexCredit cost after a simulation run.                 \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             starting up solver                                                 \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:02:13 -03 running solver                                                     \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:02:13 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             To cancel the simulation, use 'web.abort(task_id)' or              \n",
-       "             'web.delete(task_id)' or abort/delete the task in the web UI.      \n",
-       "             Terminating the Python script will not stop the job running on the \n",
-       "             cloud.                                                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
-       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
-       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "62f6d501c7404c6eb57def9c9380395c",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:02:19 -03 early shutoff detected at 12%, exiting.                            \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:02:19 -03\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m12\u001b[0m%, exiting.                            \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:02:20 -03 status = postprocess                                               \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:02:20 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f3250b63614e47ab812ec4a78142724f",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:02:39 -03 status = success                                                   \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:02:39 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             View simulation result at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3b38f0f-34d\n",
-       "             b-4b3f-9513-dd50b621b10b'.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=899937;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3b38f0f-34db-4b3f-9513-dd50b621b10b\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=85460;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3b38f0f-34db-4b3f-9513-dd50b621b10b\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=899937;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3b38f0f-34db-4b3f-9513-dd50b621b10b\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=586791;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3b38f0f-34db-4b3f-9513-dd50b621b10b\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=899937;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3b38f0f-34db-4b3f-9513-dd50b621b10b\u001b\\\u001b[4;34m-f3b38f0f-34d\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=899937;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f3b38f0f-34db-4b3f-9513-dd50b621b10b\u001b\\\u001b[4;34mb-4b3f-9513-dd50b621b10b'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1076d11f8d8a4e1280cbf40ac074fbd8",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:02:45 -03 loading simulation from simulation_data.hdf5                       \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:02:45 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:02:47 -03 Created task 'inv_des_adj' with task_id                            \n",
-       "             'fdve-2cd90a08-899a-49af-acd6-8ab36021f0ae' and task_type 'FDTD'.  \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:02:47 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'inv_des_adj'\u001b[0m with task_id                            \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-2cd90a08-899a-49af-acd6-8ab36021f0ae'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             View task using web UI at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-2cd90a08-899\n",
-       "             a-49af-acd6-8ab36021f0ae'.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=747774;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2cd90a08-899a-49af-acd6-8ab36021f0ae\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=545702;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2cd90a08-899a-49af-acd6-8ab36021f0ae\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=747774;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2cd90a08-899a-49af-acd6-8ab36021f0ae\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=114628;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2cd90a08-899a-49af-acd6-8ab36021f0ae\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=747774;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2cd90a08-899a-49af-acd6-8ab36021f0ae\u001b\\\u001b[32m-2cd90a08-899\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=747774;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2cd90a08-899a-49af-acd6-8ab36021f0ae\u001b\\\u001b[32ma-49af-acd6-8ab36021f0ae'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "86400c24e5e04e74bc8bd4baa4e36206",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "714e2006eb464626b4edec21d7f420b2",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:02:55 -03 status = queued                                                    \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:02:55 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "07c7ffbdef04431ca95c48fa1989b498",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:03:10 -03 status = preprocess                                                \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:03:10 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:03:14 -03 Maximum FlexCredit cost: 0.025. Use 'web.real_cost(task_id)' to get\n",
-       "             the billed FlexCredit cost after a simulation run.                 \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:03:14 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get\n",
-       "\u001b[2;36m             \u001b[0mthe billed FlexCredit cost after a simulation run.                 \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             starting up solver                                                 \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             running solver                                                     \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             To cancel the simulation, use 'web.abort(task_id)' or              \n",
-       "             'web.delete(task_id)' or abort/delete the task in the web UI.      \n",
-       "             Terminating the Python script will not stop the job running on the \n",
-       "             cloud.                                                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
-       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
-       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "24a1a150012e40d3ad9c363cda7f4381",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:03:22 -03 early shutoff detected at 8%, exiting.                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:03:22 -03\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m8\u001b[0m%, exiting.                             \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             status = postprocess                                               \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "42a397a278174b0fac0cfd8126cb888d",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:03:31 -03 status = success                                                   \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:03:31 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:03:32 -03 View simulation result at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-2cd90a08-899\n",
-       "             a-49af-acd6-8ab36021f0ae'.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:03:32 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=679125;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2cd90a08-899a-49af-acd6-8ab36021f0ae\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=279992;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2cd90a08-899a-49af-acd6-8ab36021f0ae\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=679125;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2cd90a08-899a-49af-acd6-8ab36021f0ae\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=334347;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2cd90a08-899a-49af-acd6-8ab36021f0ae\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=679125;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2cd90a08-899a-49af-acd6-8ab36021f0ae\u001b\\\u001b[4;34m-2cd90a08-899\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=679125;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2cd90a08-899a-49af-acd6-8ab36021f0ae\u001b\\\u001b[4;34ma-49af-acd6-8ab36021f0ae'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3e4df71fe05643e08fff969dc42e72f9",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(500, 300)\n"
-     ]
-    }
-   ],
-   "source": [
-    "val, grad = dJ_fn(params0, beta=1, verbose=True)\n",
-    "print(grad.shape)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "fc7c5898-e2f5-45f0-9273-64efc725417e",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[[ 1.9115957e-08  2.0341925e-08  2.1002823e-08 ... -5.6986043e-09\n",
-      "  -5.3410938e-09 -4.9523634e-09]\n",
-      " [ 2.2382387e-08  2.3751845e-08  2.4416215e-08 ... -6.0140790e-09\n",
-      "  -5.7981397e-09 -5.4938458e-09]\n",
-      " [ 2.5903649e-08  2.7416876e-08  2.8085157e-08 ... -6.3867702e-09\n",
-      "  -6.3510948e-09 -6.1579835e-09]\n",
-      " ...\n",
-      " [ 4.1107819e-07  4.7213894e-07  5.3059080e-07 ... -5.0702891e-07\n",
-      "  -4.4837859e-07 -3.8811166e-07]\n",
-      " [ 3.7093525e-07  4.2642949e-07  4.7960219e-07 ... -4.5335065e-07\n",
-      "  -4.0046683e-07 -3.4622119e-07]\n",
-      " [ 3.2704909e-07  3.7625156e-07  4.2354606e-07 ... -3.9623021e-07\n",
-      "  -3.4959373e-07 -3.0191538e-07]]\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(grad)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "529fad9d-3692-464b-9a45-bea3e084c1b5",
-   "metadata": {},
-   "source": [
-    "### Optimization\n",
-    "\n",
-    "We will use \"Adam\" optimization strategy to perform sequential updates of each of the permittivity values in the [JaxCustomMedium](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.adjoint.JaxCustomMedium.html?highlight=JaxCustomMedium#tidy3d.plugins.adjoint.JaxCustomMedium).\n",
-    "\n",
-    "For more information on what we use to implement this method, see [this article](https://optimization.cbe.cornell.edu/index.php?title=Adam).\n",
-    "\n",
-    "We will run 10 steps and measure both the permittivities and powers at each iteration.\n",
-    "\n",
-    "We capture this process in an `optimize` function, which accepts various parameters that we can tweak."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "id": "3eedf09a-9265-43ec-a557-3d0ec5b774bb",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "step = 1\n",
-      "\tbeta = 1.0000e+00\n",
-      "\tJ = -3.9940e-02\n",
-      "\tgrad_norm = 4.8046e-04\n",
-      "step = 2\n",
-      "\tbeta = 2.0000e+00\n",
-      "\tJ = 6.8252e-03\n",
-      "\tgrad_norm = 8.9551e-03\n",
-      "step = 3\n",
-      "\tbeta = 3.0000e+00\n",
-      "\tJ = -5.8742e-02\n",
-      "\tgrad_norm = 9.5530e-03\n",
-      "step = 4\n",
-      "\tbeta = 4.0000e+00\n",
-      "\tJ = -8.3863e-02\n",
-      "\tgrad_norm = 5.8784e-03\n",
-      "step = 5\n",
-      "\tbeta = 5.0000e+00\n",
-      "\tJ = 1.3108e-01\n",
-      "\tgrad_norm = 1.1276e-02\n",
-      "step = 6\n",
-      "\tbeta = 6.0000e+00\n",
-      "\tJ = 3.3037e-01\n",
-      "\tgrad_norm = 1.4994e-02\n",
-      "step = 7\n",
-      "\tbeta = 7.0000e+00\n",
-      "\tJ = 4.2607e-01\n",
-      "\tgrad_norm = 1.9793e-02\n",
-      "step = 8\n",
-      "\tbeta = 8.0000e+00\n",
-      "\tJ = 4.7463e-01\n",
-      "\tgrad_norm = 1.4728e-02\n",
-      "step = 9\n",
-      "\tbeta = 9.0000e+00\n",
-      "\tJ = 6.4065e-01\n",
-      "\tgrad_norm = 1.1329e-02\n",
-      "step = 10\n",
-      "\tbeta = 1.0000e+01\n",
-      "\tJ = 7.2823e-01\n",
-      "\tgrad_norm = 1.0882e-02\n",
-      "step = 11\n",
-      "\tbeta = 1.1000e+01\n",
-      "\tJ = 7.6354e-01\n",
-      "\tgrad_norm = 1.3361e-02\n",
-      "step = 12\n",
-      "\tbeta = 1.2000e+01\n",
-      "\tJ = 7.8878e-01\n",
-      "\tgrad_norm = 1.2873e-02\n",
-      "step = 13\n",
-      "\tbeta = 1.3000e+01\n",
-      "\tJ = 8.3580e-01\n",
-      "\tgrad_norm = 6.2414e-03\n",
-      "step = 14\n",
-      "\tbeta = 1.4000e+01\n",
-      "\tJ = 8.4929e-01\n",
-      "\tgrad_norm = 7.4505e-03\n",
-      "step = 15\n",
-      "\tbeta = 1.5000e+01\n",
-      "\tJ = 8.6637e-01\n",
-      "\tgrad_norm = 4.5926e-03\n",
-      "step = 16\n",
-      "\tbeta = 1.6000e+01\n",
-      "\tJ = 8.7438e-01\n",
-      "\tgrad_norm = 4.1641e-03\n",
-      "step = 17\n",
-      "\tbeta = 1.7000e+01\n",
-      "\tJ = 8.8190e-01\n",
-      "\tgrad_norm = 4.4081e-03\n",
-      "step = 18\n",
-      "\tbeta = 1.8000e+01\n",
-      "\tJ = 8.9487e-01\n",
-      "\tgrad_norm = 2.5973e-03\n",
-      "step = 19\n",
-      "\tbeta = 1.9000e+01\n",
-      "\tJ = 9.0314e-01\n",
-      "\tgrad_norm = 3.2183e-03\n",
-      "step = 20\n",
-      "\tbeta = 2.0000e+01\n",
-      "\tJ = 9.1222e-01\n",
-      "\tgrad_norm = 2.4600e-03\n"
-     ]
-    }
-   ],
-   "source": [
-    "import optax\n",
-    "\n",
-    "# hyperparameters\n",
-    "num_steps = 20\n",
-    "learning_rate = 1.0\n",
-    "\n",
-    "# initialize adam optimizer with starting parameters\n",
-    "params = np.array(params0)\n",
-    "optimizer = optax.adam(learning_rate=learning_rate)\n",
-    "opt_state = optimizer.init(params)\n",
-    "\n",
-    "# store history\n",
-    "Js = []\n",
-    "params_history = [params]\n",
-    "beta_history = []\n",
-    "\n",
-    "# gradually increase the binarization strength\n",
-    "beta0 = 1\n",
-    "beta_increment = 1\n",
-    "\n",
-    "for i in range(num_steps):\n",
-    "    # compute gradient and current objective function value\n",
-    "\n",
-    "    beta = beta0 + i * beta_increment\n",
-    "    value, gradient = dJ_fn(params, step_num=i + 1, beta=beta)\n",
-    "\n",
-    "    # outputs\n",
-    "    print(f\"step = {i + 1}\")\n",
-    "    print(f\"\\tbeta = {beta:.4e}\")\n",
-    "    print(f\"\\tJ = {value:.4e}\")\n",
-    "    print(f\"\\tgrad_norm = {np.linalg.norm(gradient):.4e}\")\n",
-    "\n",
-    "    # compute and apply updates to the optimizer based on gradient (-1 sign to maximize obj_fn)\n",
-    "    updates, opt_state = optimizer.update(-gradient, opt_state, params)\n",
-    "    params = optax.apply_updates(params, updates)\n",
-    "\n",
-    "    # cap the parameters\n",
-    "    params = jnp.minimum(params, 1.0)\n",
-    "    params = jnp.maximum(params, 0.0)\n",
-    "\n",
-    "    # save history\n",
-    "    Js.append(value)\n",
-    "    params_history.append(params)\n",
-    "    beta_history.append(beta)\n",
-    "\n",
-    "power = J(params_history[-1], beta=beta)\n",
-    "Js.append(power)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "id": "30ce10a9-526c-434a-8606-f31c33949a41",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "params_final = params_history[-1]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6af5ad27-46a0-4f72-975d-ebe3040ee446",
-   "metadata": {},
-   "source": [
-    "Let's run the optimize function."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "bd0b335a-c8bd-49a9-a1c5-f08b6125f21b",
-   "metadata": {},
-   "source": [
-    "and then record the final power value (including the last iteration's parameter updates)."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e0b44fda-bf57-42cf-8370-05bf20de96df",
-   "metadata": {},
-   "source": [
-    "### Results\n",
-    "\n",
-    "First, we plot the objective function (power converted to 1st order mode) as a function of step and notice that it converges nicely!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "id": "bc757643-2b71-4394-8fa6-f24c305848af",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.plot(Js)\n",
-    "plt.xlabel(\"iterations\")\n",
-    "plt.ylabel(\"objective function\")\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "209d151d-4fe5-4b5e-8c3b-633c0b451c70",
-   "metadata": {},
-   "source": [
-    "We then will visualize the final structure, so we convert it to a regular `Simulation` using the final permittivity values and plot it."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "id": "cfde96ed-f4b4-4106-b70e-0659058a82d6",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "sim_final = make_sim(params_final, beta=beta)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "id": "2c1ec6e0-cd42-4ef3-af95-5cbf7e0327a1",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sim_final = sim_final.to_simulation()[0]\n",
-    "sim_final.plot_eps(z=0)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a6309d9a-01da-46da-96f1-236e86d7aa30",
-   "metadata": {},
-   "source": [
-    "Finally, we want to inspect the fields, so we add a field monitor to the `Simulation` and perform one more run to record the field values for plotting."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "id": "3d9e6150-7b42-42c8-8418-2af4d02a1ec8",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "field_mnt = td.FieldMonitor(\n",
-    "    size=(td.inf, td.inf, 0),\n",
-    "    freqs=[freq0],\n",
-    "    name=\"field_mnt\",\n",
-    ")\n",
-    "\n",
-    "sim_final = sim_final.copy(update=dict(monitors=(field_mnt, measurement_monitor)))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "id": "eb9e98d5-70e7-4fea-abcf-047489bd6a22",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
11:40:07 -03 Created task 'inv_des_final' with task_id                          \n",
-       "             'fdve-85862bfd-ce6f-4ccb-aad9-493a31707e60' and task_type 'FDTD'.  \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:40:07 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'inv_des_final'\u001b[0m with task_id                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-85862bfd-ce6f-4ccb-aad9-493a31707e60'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             View task using web UI at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-85862bfd-ce6\n",
-       "             f-4ccb-aad9-493a31707e60'.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=18939;https://tidy3d.simulation.cloud/workbench?taskId=fdve-85862bfd-ce6f-4ccb-aad9-493a31707e60\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=966908;https://tidy3d.simulation.cloud/workbench?taskId=fdve-85862bfd-ce6f-4ccb-aad9-493a31707e60\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=18939;https://tidy3d.simulation.cloud/workbench?taskId=fdve-85862bfd-ce6f-4ccb-aad9-493a31707e60\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=450392;https://tidy3d.simulation.cloud/workbench?taskId=fdve-85862bfd-ce6f-4ccb-aad9-493a31707e60\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=18939;https://tidy3d.simulation.cloud/workbench?taskId=fdve-85862bfd-ce6f-4ccb-aad9-493a31707e60\u001b\\\u001b[32m-85862bfd-ce6\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=18939;https://tidy3d.simulation.cloud/workbench?taskId=fdve-85862bfd-ce6f-4ccb-aad9-493a31707e60\u001b\\\u001b[32mf-4ccb-aad9-493a31707e60'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4ada6a1245e84e8aa52c58dc297f128b",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:40:12 -03 status = queued                                                    \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:40:12 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "78e6f2282dfb40338c20eab37d05cc72",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:40:27 -03 status = preprocess                                                \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:40:27 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:40:31 -03 Maximum FlexCredit cost: 0.025. Use 'web.real_cost(task_id)' to get\n",
-       "             the billed FlexCredit cost after a simulation run.                 \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:40:31 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get\n",
-       "\u001b[2;36m             \u001b[0mthe billed FlexCredit cost after a simulation run.                 \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             starting up solver                                                 \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:40:32 -03 running solver                                                     \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:40:32 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             To cancel the simulation, use 'web.abort(task_id)' or              \n",
-       "             'web.delete(task_id)' or abort/delete the task in the web UI.      \n",
-       "             Terminating the Python script will not stop the job running on the \n",
-       "             cloud.                                                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
-       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
-       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "97d4a5026b7a483cac4c2de2bdbf794e",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:40:40 -03 early shutoff detected at 12%, exiting.                            \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:40:40 -03\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m12\u001b[0m%, exiting.                            \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             status = postprocess                                               \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "48fadfd2b32f4d9d95817800430cf482",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:40:47 -03 status = success                                                   \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:40:47 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             View simulation result at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-85862bfd-ce6\n",
-       "             f-4ccb-aad9-493a31707e60'.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=958410;https://tidy3d.simulation.cloud/workbench?taskId=fdve-85862bfd-ce6f-4ccb-aad9-493a31707e60\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=716456;https://tidy3d.simulation.cloud/workbench?taskId=fdve-85862bfd-ce6f-4ccb-aad9-493a31707e60\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=958410;https://tidy3d.simulation.cloud/workbench?taskId=fdve-85862bfd-ce6f-4ccb-aad9-493a31707e60\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=176003;https://tidy3d.simulation.cloud/workbench?taskId=fdve-85862bfd-ce6f-4ccb-aad9-493a31707e60\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=958410;https://tidy3d.simulation.cloud/workbench?taskId=fdve-85862bfd-ce6f-4ccb-aad9-493a31707e60\u001b\\\u001b[4;34m-85862bfd-ce6\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=958410;https://tidy3d.simulation.cloud/workbench?taskId=fdve-85862bfd-ce6f-4ccb-aad9-493a31707e60\u001b\\\u001b[4;34mf-4ccb-aad9-493a31707e60'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e5cf490394ee481fa5c9b00f294751b1",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:40:51 -03 loading simulation from simulation_data.hdf5                       \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:40:51 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sim_data_final = web.run(sim_final, task_name=\"inv_des_final\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6840c1ae-bd2a-470f-9875-cb05759d2df5",
-   "metadata": {},
-   "source": [
-    "We notice that the behavior is as expected and the device performs exactly how we intended!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "id": "0a28c766-f877-4760-a0f5-ba7851d1759a",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "f, (ax0, ax1, ax2) = plt.subplots(1, 3, figsize=(12, 3), tight_layout=True)\n",
-    "sim_final.plot_eps(z=0.01, ax=ax0)\n",
-    "ax1 = sim_data_final.plot_field(\"field_mnt\", \"Ez\", z=0, ax=ax1)\n",
-    "ax2 = sim_data_final.plot_field(\"field_mnt\", \"E\", \"abs^2\", z=0, ax=ax2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "104d7469-8489-44d2-8a60-d5b813c6331b",
-   "metadata": {},
-   "source": [
-    "The final device converts more than 90% of the input power to the 1st mode, up from < 1% when we started."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "id": "ebd825e4-6dfe-4836-940c-cf9bd491522a",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Final power conversion = 96.06%\n"
-     ]
-    }
-   ],
-   "source": [
-    "final_power = (\n",
-    "    sim_data_final[\"measurement\"].amps.sel(direction=\"+\", f=freq0, mode_index=mode_index_out).abs\n",
-    "    ** 2\n",
-    ")\n",
-    "print(f\"Final power conversion = {final_power * 100:.2f}%\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "eb6d530a",
-   "metadata": {},
-   "source": [
-    "## Export to GDS\n",
-    "The `Simulation` object has the [.to_gds_file](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Simulation.html#tidy3d.Simulation.to_gds_file) convenience function to export the final design to a `GDS` file. In addition to a file name, it is necessary to set a cross-sectional plane (`z = 0` in this case) on which to evaluate the geometry, a `frequency` to evaluate the permittivity, and a `permittivity_threshold` to define the shape boundaries in custom mediums. See the [GDS export](https://www.flexcompute.com/tidy3d/examples/notebooks/GDSExport/) notebook for a detailed example on using `.to_gds_file` and other GDS related functions."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "id": "69afad7b-33ff-4a06-81bb-1c3bdbc50b6b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sim_final.to_gds_file(\n",
-    "    fname=\"./misc/inv_des_mode_conv.gds\", z=0, frequency=freq0, permittivity_threshold=2.6\n",
-    ")"
-   ]
-  }
- ],
- "metadata": {
-  "description": "This notebook demonstrates how to perform inverse design optimization of an optical mode converter in Tidy3D FDTD using the adjoint plugin.",
-  "feature_image": "./img/adjoint_3.png",
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "keywords": "inverse design, adjoint optimization, optical mode converter, Tidy3D, FDTD",
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.7"
-  },
-  "nbdime-conflicts": {
-   "local_diff": [
-    {
-     "diff": [
-      {
-       "diff": [
-        {
-         "key": 0,
-         "length": 1,
-         "op": "removerange"
-        }
-       ],
-       "key": "version",
-       "op": "patch"
-      }
-     ],
-     "key": "language_info",
-     "op": "patch"
-    }
-   ],
-   "remote_diff": [
-    {
-     "diff": [
-      {
-       "diff": [
-        {
-         "diff": [
-          {
-           "key": 5,
-           "op": "addrange",
-           "valuelist": "9"
-          },
-          {
-           "key": 5,
-           "length": 1,
-           "op": "removerange"
-          }
-         ],
-         "key": 0,
-         "op": "patch"
-        }
-       ],
-       "key": "version",
-       "op": "patch"
-      }
-     ],
-     "key": "language_info",
-     "op": "patch"
-    }
-   ]
-  },
-  "title": "Inverse Design of a Mode Converter Using the Adjoint Plugin | Flexcompute",
-  "widgets": {
-   "application/vnd.jupyter.widget-state+json": {
-    "state": {
-     "02bd58b8f27b49079c8cfaae08e484ed": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "0cc59d91e6884de8878637d06f69298f": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "131b81dce4714ce69a7ed086788d1178": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_346b3ff743f84696a2a3eb47172865a6",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ simulation.hdf5.gz ━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 43.0/43.0 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m43.0/43.0 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "1c3c5d9b9f8c4762af46440e2f9de9b0": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_0cc59d91e6884de8878637d06f69298f",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🚶  Starting 'inv_des'...\n
\n",
-          "text/plain": "\u001b[32m🚶 \u001b[0m \u001b[1;32mStarting 'inv_des'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "28d2d187d50744619ffd15c7ae3d46ab": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "2cf4637d47444cb89788003100a96e1c": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "2d8b8f7952de4429a454df590618cd63": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_97b116cecc8d4eba90ff6f1899098767",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ jax_info.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 174/174 bytes • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34mjax_info.json\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m174/174 bytes\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "346b3ff743f84696a2a3eb47172865a6": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "3b97302e734846f68dc34be2e1e9f622": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_477714e92f7845838dcca8908b862048",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🏃  Finishing 'inv_des_final'...\n
\n",
-          "text/plain": "\u001b[32m🏃 \u001b[0m \u001b[1;32mFinishing 'inv_des_final'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "3f3ecee4ff984da1ab6af8cde74aa4d6": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_2cf4637d47444cb89788003100a96e1c",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 148.6/148.6 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m148.6/148.6 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "43ee1faf5c0f4bd7952b4c9f3901f58d": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_28d2d187d50744619ffd15c7ae3d46ab",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🏃  Finishing 'inv_des_adj'...\n
\n",
-          "text/plain": "\u001b[32m🏃 \u001b[0m \u001b[1;32mFinishing 'inv_des_adj'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "477714e92f7845838dcca8908b862048": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "4d65e6b885674bc8bff06e62f0b089f6": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_a1c5f0dfa271458dad9e5ded066f966f",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🏃  Finishing 'inv_des'...\n
\n",
-          "text/plain": "\u001b[32m🏃 \u001b[0m \u001b[1;32mFinishing 'inv_des'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "51efd5e7d641461d9392377e4dc80027": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "5bb49f9b044f49518c9c2c21dffed65b": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_02bd58b8f27b49079c8cfaae08e484ed",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
solver progress (field decay = 0.00e+00) ━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00\n
\n",
-          "text/plain": "solver progress (field decay = 0.00e+00) \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "616294d7d1c243feb07bfcc5ab642cc5": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "6f6853ea5883400bbff752f3c60139c9": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "6fe1bfb2d1a14e339a1b711d8b1d89a1": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "706c91a16eb347379d86f710b83d7e6b": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_8078dc74436c47b093bd481bb6624578",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↓ jax_sim_vjp.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 237.1/237.1 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mjax_sim_vjp.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m237.1/237.1 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "7417aa6cc0bb4350b3f28e1826298b03": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "756ecdb25ec94e52907adfd2ecb443f3": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_f52a00c4ea904dccb1418ba1a118d6be",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🚶  Starting 'inv_des_adj'...\n
\n",
-          "text/plain": "\u001b[32m🚶 \u001b[0m \u001b[1;32mStarting 'inv_des_adj'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "8078dc74436c47b093bd481bb6624578": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "8a006d803a9341ba81fc1cddec63f4cf": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_d61f53cb0349458ab366bebcc42a6028",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ simulation.hdf5.gz ━━━━━━━━━━━━━━━━━━━━━ 100.0% • 110.6/110.6 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m110.6/110.6 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "97916d3681e24426a9724844691f7038": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_7417aa6cc0bb4350b3f28e1826298b03",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🚶  Starting 'inv_des_final'...\n
\n",
-          "text/plain": "\u001b[32m🚶 \u001b[0m \u001b[1;32mStarting 'inv_des_final'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "97b116cecc8d4eba90ff6f1899098767": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "9ac6fa173f624d24a2fce05e6f1327d0": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "a1c5f0dfa271458dad9e5ded066f966f": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "a992634b68574d25a4c65061ebdad55f": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_6fe1bfb2d1a14e339a1b711d8b1d89a1",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━ 100.0% • 13.3/13.3 MB • 22.4 MB/s • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m13.3/13.3 MB\u001b[0m • \u001b[31m22.4 MB/s\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "b17032aa2dca423080814069bd0548cb": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_9ac6fa173f624d24a2fce05e6f1327d0",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ simulation.hdf5.gz ━━━━━━━━━━━━━━━━━━━━━ 100.0% • 100.1/100.1 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m100.1/100.1 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "d61f53cb0349458ab366bebcc42a6028": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "e84d3af0debd414ba94b938d3a285d75": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_6f6853ea5883400bbff752f3c60139c9",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
solver progress (field decay = 0.00e+00) ━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00\n
\n",
-          "text/plain": "solver progress (field decay = 0.00e+00) \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "f2fb4fc3f8be4eb7acfb42679d70a73c": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_51efd5e7d641461d9392377e4dc80027",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ jax_info.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 174/174 bytes • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34mjax_info.json\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m174/174 bytes\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "f3e34e693eff477797f8c8517fbf1a82": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_616294d7d1c243feb07bfcc5ab642cc5",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
solver progress (field decay = 0.00e+00) ━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00\n
\n",
-          "text/plain": "solver progress (field decay = 0.00e+00) \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "f52a00c4ea904dccb1418ba1a118d6be": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     }
-    },
-    "version_major": 2,
-    "version_minor": 0
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/AdjointPlugin4MultiObjective.ipynb b/AdjointPlugin4MultiObjective.ipynb
deleted file mode 100644
index 6bede27a..00000000
--- a/AdjointPlugin4MultiObjective.ipynb
+++ /dev/null
@@ -1,3180 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "df03ca2b-256f-472c-bcaf-e35a529143c6",
-   "metadata": {},
-   "source": [
-    "# Multi-objective adjoint optimization\n",
-    "\n",
-    "> Note: Tidy3D now supports automatic differentiation natively through `autograd`. The `jax`-based `adjoint` plugin will be deprecated from 2.7 onwards. To see this notebook implemented in the new feature, see [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd4MultiObjective/).\n",
-    "\n",
-    "> To install the `jax` module required for this feature, we recommend running `pip install \"tidy3d[jax]\"`.\n",
-    "\n",
-    "In this notebook, we will show how to use the adjoint plugin efficiently for objectives involving several simulations.\n",
-    "\n",
-    "One common application of this involves defining an objective function that may depend on several different definitions of your structures, each with some geometric or material modification. For example, including the performance of devices with slightly larger or smaller feature sizes into one's objective can serve to make optimization more robust to fabrication errors. For more details, see this [paper](https://link.springer.com/article/10.1007/s10409-009-0240-z). "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "5accbf7e-221b-46b8-8aa4-b010fde0a816",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import jax\n",
-    "import jax.numpy as jnp\n",
-    "import matplotlib.pylab as plt\n",
-    "import numpy as np\n",
-    "import tidy3d as td\n",
-    "import tidy3d.plugins.adjoint as tda"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6a908597-1bb4-45ff-8fc9-dca626011d5c",
-   "metadata": {},
-   "source": [
-    "### Setup\n",
-    "\n",
-    "First, let's define the frequency that our objective will depend on"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "247c3045-6b11-4a86-9bc7-d9ba1a8c173e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "freq0 = 2e14\n",
-    "wavelength = td.C_0 / freq0"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d96aca0f-a9da-4f8a-833c-5cefe8a3bb7f",
-   "metadata": {},
-   "source": [
-    "Now we set up some physical parameters.\n",
-    "\n",
-    "We will be putting a `td.Box` in the center of a domain with a point source on one side and a diffraction monitor on the other.\n",
-    "\n",
-    "The objective will involve summing the power of the 0th order diffraction order.\n",
-    "\n",
-    "The gradient of this objective will be computed with respect to the permittivity of the box.\n",
-    "\n",
-    "We will adjust the size of the box by `dy` in the y direction and define a combined objective function that returns the average power when the box is either perturbed by `+dy`, `0`, or `-dy`, which emulates a treatment for enhancing device robustness via dilation and erosion effects, as described in the paper linked at the top of this notebook."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "6894b8a3-4889-431f-bb68-f3bd28b73369",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "permittivity_val = 2.0\n",
-    "\n",
-    "# box sizes (original design)\n",
-    "lx = wavelength\n",
-    "ly = wavelength\n",
-    "lz = wavelength\n",
-    "\n",
-    "# amount by which we will change the box size in y\n",
-    "dy = ly / 5.0\n",
-    "\n",
-    "buffer = 2 * wavelength\n",
-    "\n",
-    "Lx = lx + 2 * buffer\n",
-    "Ly = ly + dy + 2 * buffer\n",
-    "Lz = lz + 2 * buffer\n",
-    "\n",
-    "\n",
-    "src_pos_x = -Lx / 2 + buffer / 2\n",
-    "mnt_pos_x = +Lx / 2 - buffer / 2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "7257c894-0eb8-4813-bc86-8d5ee9b4d639",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def make_sim(permittivity: float, dy_sign: int) -> tda.JaxSimulation:\n",
-    "    \"\"\"Make a simulation as a function of the box permittivity and the frequency.\"\"\"\n",
-    "\n",
-    "    box_size = ly + dy_sign * dy\n",
-    "\n",
-    "    box = tda.JaxStructure(\n",
-    "        geometry=tda.JaxBox(center=(0.0, 0.0, 0.0), size=(lx, box_size, lz)),\n",
-    "        medium=tda.JaxMedium(permittivity=permittivity),\n",
-    "    )\n",
-    "\n",
-    "    src = td.PointDipole(\n",
-    "        center=(src_pos_x, 0, 0),\n",
-    "        polarization=\"Ey\",\n",
-    "        source_time=td.GaussianPulse(\n",
-    "            freq0=freq0,\n",
-    "            fwidth=freq0 / 10,\n",
-    "        ),\n",
-    "    )\n",
-    "\n",
-    "    mnt = td.DiffractionMonitor(\n",
-    "        center=(mnt_pos_x, 0, 0),\n",
-    "        size=(0, td.inf, td.inf),\n",
-    "        freqs=[freq0],\n",
-    "        name=\"diffraction\",\n",
-    "    )\n",
-    "\n",
-    "    return tda.JaxSimulation(\n",
-    "        size=(Lx, Ly, Lz),\n",
-    "        input_structures=[box],\n",
-    "        output_monitors=[mnt],\n",
-    "        sources=[src],\n",
-    "        grid_spec=td.GridSpec.auto(wavelength=td.C_0 / freq0),\n",
-    "        boundary_spec=td.BoundarySpec(\n",
-    "            x=td.Boundary.pml(), y=td.Boundary.periodic(), z=td.Boundary.periodic()\n",
-    "        ),\n",
-    "        run_time=200 / src.source_time.fwidth,\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e11b1338-e831-47f6-85d7-d3abe2aef5d5",
-   "metadata": {},
-   "source": [
-    "Let's make a simulation for each of the perturbed size values and visualize them."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "c03a39c5-83e4-4e0d-84a2-c8bf86446b60",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "f, axes = plt.subplots(1, 3, tight_layout=True, figsize=(10, 4))\n",
-    "\n",
-    "for ax, dy_sign in zip(axes, (-1, 0, 1)):\n",
-    "    jax_sim = make_sim(permittivity=permittivity_val, dy_sign=dy_sign)\n",
-    "    ax = jax_sim.plot(z=0, ax=ax)\n",
-    "    ax.set_title(f\"size[y]={jax_sim.input_structures[0].geometry.size[1]:.2f}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2aa83e08-2983-4d8d-b85b-31584c96872d",
-   "metadata": {},
-   "source": [
-    "### Define Objective\n",
-    "\n",
-    "Now let's define our objective function, first we defined how to postprocess a `SimulationData` to give the desired power."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "e673c7d6-e44f-4086-bf98-d201739201fc",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def post_process(sim_data: tda.JaxSimulationData) -> float:\n",
-    "    \"\"\"O-th order diffracted power.\"\"\"\n",
-    "    amp = sim_data[\"diffraction\"].amps.sel(orders_x=0, orders_y=0)\n",
-    "    return jnp.sum(jnp.abs(amp.values) ** 2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "56d3acce-0f8b-493d-9cf7-0568720827f5",
-   "metadata": {},
-   "source": [
-    "And then we write our combined, multi-objective over all of the `dy` values.  We use the [plugins.adjoint.web.run_async](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.adjoint.web.run_async.html) function to run a list of these three simulations simultaneously."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "86e4ec1c-89ca-474c-83d1-68c6c3bcbdb3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def objective(permittivity: float) -> float:\n",
-    "    \"\"\"Average of O-th order diffracted power over all dy_sign values.\"\"\"\n",
-    "    sims = [make_sim(permittivity, dy_sign=dy_sign) for dy_sign in (-1, 0, 1)]\n",
-    "    sim_data_list = tda.web.run_async(sims, path_dir=\"data\", verbose=True)\n",
-    "    powers = [post_process(sim_data) for sim_data in sim_data_list]\n",
-    "    return jnp.mean(jnp.array(powers))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "318b2a19-5536-4332-9903-8f63ce8ae502",
-   "metadata": {},
-   "source": [
-    "### Multi-Objective Gradient Calculation\n",
-    "\n",
-    "Finally, we are ready to use `jax.value_and_grad` to differentiate this function."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "15546df4-05b5-480f-8a10-32a69f434088",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
[10:58:35] Created task '0_fwd' with task_id                                    \n",
-       "           'fdve-b20f9e17-3302-4b67-8159-c83354a27ea1v1'.                       \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[10:58:35]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'0_fwd'\u001b[0m with task_id                                    \n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-b20f9e17-3302-4b67-8159-c83354a27ea1v1'\u001b[0m.                       \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           View task using web UI at                                            \n",
-       "           'https://tidy3d.simulation.cloud/workbench?taskId=fdve-b20f9e17-3302-\n",
-       "           4b67-8159-c83354a27ea1v1'.                                           \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                            \n",
-       "\u001b[2;36m           \u001b[0m\u001b]8;id=126246;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b20f9e17-3302-4b67-8159-c83354a27ea1v1\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=347174;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b20f9e17-3302-4b67-8159-c83354a27ea1v1\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=126246;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b20f9e17-3302-4b67-8159-c83354a27ea1v1\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=848658;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b20f9e17-3302-4b67-8159-c83354a27ea1v1\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=126246;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b20f9e17-3302-4b67-8159-c83354a27ea1v1\u001b\\\u001b[4;34m-b20f9e17-3302-\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b]8;id=126246;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b20f9e17-3302-4b67-8159-c83354a27ea1v1\u001b\\\u001b[4;34m4b67-8159-c83354a27ea1v1'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                           \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6ae3f171d63d48a1bf969952021b1780",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[10:58:36] Created task '1_fwd' with task_id                                    \n",
-       "           'fdve-aee667ea-d54c-47dd-b1d1-b7652e74ccddv1'.                       \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[10:58:36]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'1_fwd'\u001b[0m with task_id                                    \n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-aee667ea-d54c-47dd-b1d1-b7652e74ccddv1'\u001b[0m.                       \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           View task using web UI at                                            \n",
-       "           'https://tidy3d.simulation.cloud/workbench?taskId=fdve-aee667ea-d54c-\n",
-       "           47dd-b1d1-b7652e74ccddv1'.                                           \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                            \n",
-       "\u001b[2;36m           \u001b[0m\u001b]8;id=803631;https://tidy3d.simulation.cloud/workbench?taskId=fdve-aee667ea-d54c-47dd-b1d1-b7652e74ccddv1\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=821521;https://tidy3d.simulation.cloud/workbench?taskId=fdve-aee667ea-d54c-47dd-b1d1-b7652e74ccddv1\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=803631;https://tidy3d.simulation.cloud/workbench?taskId=fdve-aee667ea-d54c-47dd-b1d1-b7652e74ccddv1\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=329856;https://tidy3d.simulation.cloud/workbench?taskId=fdve-aee667ea-d54c-47dd-b1d1-b7652e74ccddv1\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=803631;https://tidy3d.simulation.cloud/workbench?taskId=fdve-aee667ea-d54c-47dd-b1d1-b7652e74ccddv1\u001b\\\u001b[4;34m-aee667ea-d54c-\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b]8;id=803631;https://tidy3d.simulation.cloud/workbench?taskId=fdve-aee667ea-d54c-47dd-b1d1-b7652e74ccddv1\u001b\\\u001b[4;34m47dd-b1d1-b7652e74ccddv1'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                           \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "d6fd51bd2e04436aba4ef102717215e2",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[10:58:37] Created task '2_fwd' with task_id                                    \n",
-       "           'fdve-caa12e68-4916-49d0-be89-c04eadb3577ev1'.                       \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[10:58:37]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'2_fwd'\u001b[0m with task_id                                    \n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-caa12e68-4916-49d0-be89-c04eadb3577ev1'\u001b[0m.                       \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           View task using web UI at                                            \n",
-       "           'https://tidy3d.simulation.cloud/workbench?taskId=fdve-caa12e68-4916-\n",
-       "           49d0-be89-c04eadb3577ev1'.                                           \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                            \n",
-       "\u001b[2;36m           \u001b[0m\u001b]8;id=746639;https://tidy3d.simulation.cloud/workbench?taskId=fdve-caa12e68-4916-49d0-be89-c04eadb3577ev1\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=100766;https://tidy3d.simulation.cloud/workbench?taskId=fdve-caa12e68-4916-49d0-be89-c04eadb3577ev1\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=746639;https://tidy3d.simulation.cloud/workbench?taskId=fdve-caa12e68-4916-49d0-be89-c04eadb3577ev1\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=508554;https://tidy3d.simulation.cloud/workbench?taskId=fdve-caa12e68-4916-49d0-be89-c04eadb3577ev1\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=746639;https://tidy3d.simulation.cloud/workbench?taskId=fdve-caa12e68-4916-49d0-be89-c04eadb3577ev1\u001b\\\u001b[4;34m-caa12e68-4916-\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b]8;id=746639;https://tidy3d.simulation.cloud/workbench?taskId=fdve-caa12e68-4916-49d0-be89-c04eadb3577ev1\u001b\\\u001b[4;34m49d0-be89-c04eadb3577ev1'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                           \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9de3cc9b601549cbaa5a012e975222f7",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[10:58:39] Started working on Batch.                                            \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[10:58:39]\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch.                                            \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[10:58:40] Maximum FlexCredit cost: 0.075 for the whole batch. Use              \n",
-       "           'Batch.real_cost()' to get the billed FlexCredit cost after the Batch\n",
-       "           has completed.                                                       \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[10:58:40]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.075\u001b[0m for the whole batch. Use              \n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the Batch\n",
-       "\u001b[2;36m           \u001b[0mhas completed.                                                       \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e516830bd9cb45138ad362063c98498a",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[10:58:59] Batch complete.                                                      \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[10:58:59]\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                      \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a8bbe3f71c08454ba28a477a34711fe4",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[10:59:01] loading SimulationData from                                          \n",
-       "           data/fdve-b20f9e17-3302-4b67-8159-c83354a27ea1v1.hdf5                \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[10:59:01]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from                                          \n",
-       "\u001b[2;36m           \u001b[0mdata/fdve-\u001b[93mb20f9e17-3302-4b67-8159-c83354a27ea1\u001b[0mv1.hdf5                \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ba49b28432314413937251d344b03620",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[10:59:02] loading SimulationData from                                          \n",
-       "           data/fdve-aee667ea-d54c-47dd-b1d1-b7652e74ccddv1.hdf5                \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[10:59:02]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from                                          \n",
-       "\u001b[2;36m           \u001b[0mdata/fdve-\u001b[93maee667ea-d54c-47dd-b1d1-b7652e74ccdd\u001b[0mv1.hdf5                \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "7fb33e56c0bb496b98244b41452f18b9",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[10:59:03] loading SimulationData from                                          \n",
-       "           data/fdve-caa12e68-4916-49d0-be89-c04eadb3577ev1.hdf5                \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[10:59:03]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from                                          \n",
-       "\u001b[2;36m           \u001b[0mdata/fdve-\u001b[93mcaa12e68-4916-49d0-be89-c04eadb3577e\u001b[0mv1.hdf5                \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[10:59:04] Created task '0_adj' with task_id                                    \n",
-       "           'fdve-c2264f3e-360a-499a-b410-f84ef336d4ecv1'.                       \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[10:59:04]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'0_adj'\u001b[0m with task_id                                    \n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-c2264f3e-360a-499a-b410-f84ef336d4ecv1'\u001b[0m.                       \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           View task using web UI at                                            \n",
-       "           'https://tidy3d.simulation.cloud/workbench?taskId=fdve-c2264f3e-360a-\n",
-       "           499a-b410-f84ef336d4ecv1'.                                           \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                            \n",
-       "\u001b[2;36m           \u001b[0m\u001b]8;id=929538;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c2264f3e-360a-499a-b410-f84ef336d4ecv1\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=989345;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c2264f3e-360a-499a-b410-f84ef336d4ecv1\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=929538;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c2264f3e-360a-499a-b410-f84ef336d4ecv1\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=677172;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c2264f3e-360a-499a-b410-f84ef336d4ecv1\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=929538;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c2264f3e-360a-499a-b410-f84ef336d4ecv1\u001b\\\u001b[4;34m-c2264f3e-360a-\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b]8;id=929538;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c2264f3e-360a-499a-b410-f84ef336d4ecv1\u001b\\\u001b[4;34m499a-b410-f84ef336d4ecv1'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                           \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c98c0935717340f6a5f01967a883cc03",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[10:59:05] Created task '1_adj' with task_id                                    \n",
-       "           'fdve-0914c5d7-6da1-4127-8b7c-4107cb45dce4v1'.                       \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[10:59:05]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'1_adj'\u001b[0m with task_id                                    \n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-0914c5d7-6da1-4127-8b7c-4107cb45dce4v1'\u001b[0m.                       \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           View task using web UI at                                            \n",
-       "           'https://tidy3d.simulation.cloud/workbench?taskId=fdve-0914c5d7-6da1-\n",
-       "           4127-8b7c-4107cb45dce4v1'.                                           \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                            \n",
-       "\u001b[2;36m           \u001b[0m\u001b]8;id=347652;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0914c5d7-6da1-4127-8b7c-4107cb45dce4v1\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=638906;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0914c5d7-6da1-4127-8b7c-4107cb45dce4v1\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=347652;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0914c5d7-6da1-4127-8b7c-4107cb45dce4v1\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=947695;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0914c5d7-6da1-4127-8b7c-4107cb45dce4v1\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=347652;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0914c5d7-6da1-4127-8b7c-4107cb45dce4v1\u001b\\\u001b[4;34m-0914c5d7-6da1-\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b]8;id=347652;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0914c5d7-6da1-4127-8b7c-4107cb45dce4v1\u001b\\\u001b[4;34m4127-8b7c-4107cb45dce4v1'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                           \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "01787b74f3fb45a78ee70d1fa6c3de77",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           Created task '2_adj' with task_id                                    \n",
-       "           'fdve-1ac8f06a-d66a-43de-b7a3-035bb6ca86b9v1'.                       \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'2_adj'\u001b[0m with task_id                                    \n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-1ac8f06a-d66a-43de-b7a3-035bb6ca86b9v1'\u001b[0m.                       \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           View task using web UI at                                            \n",
-       "           'https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ac8f06a-d66a-\n",
-       "           43de-b7a3-035bb6ca86b9v1'.                                           \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                            \n",
-       "\u001b[2;36m           \u001b[0m\u001b]8;id=252486;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ac8f06a-d66a-43de-b7a3-035bb6ca86b9v1\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=389906;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ac8f06a-d66a-43de-b7a3-035bb6ca86b9v1\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=252486;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ac8f06a-d66a-43de-b7a3-035bb6ca86b9v1\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=456204;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ac8f06a-d66a-43de-b7a3-035bb6ca86b9v1\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=252486;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ac8f06a-d66a-43de-b7a3-035bb6ca86b9v1\u001b\\\u001b[4;34m-1ac8f06a-d66a-\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b]8;id=252486;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ac8f06a-d66a-43de-b7a3-035bb6ca86b9v1\u001b\\\u001b[4;34m43de-b7a3-035bb6ca86b9v1'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                           \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0cbaaaa78b2e4de3b41c2d3efaa953bd",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[10:59:07] Started working on Batch.                                            \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[10:59:07]\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch.                                            \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[10:59:09] Maximum FlexCredit cost: 0.075 for the whole batch. Use              \n",
-       "           'Batch.real_cost()' to get the billed FlexCredit cost after the Batch\n",
-       "           has completed.                                                       \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[10:59:09]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.075\u001b[0m for the whole batch. Use              \n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the Batch\n",
-       "\u001b[2;36m           \u001b[0mhas completed.                                                       \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "8d61d685d2a64ef8945216e73a02e658",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[10:59:28] Batch complete.                                                      \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[10:59:28]\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                      \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "39f9b1979bd54371b65f44a2974e9d51",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[10:59:30] loading SimulationData from                                          \n",
-       "           data/fdve-c2264f3e-360a-499a-b410-f84ef336d4ecv1.hdf5                \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[10:59:30]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from                                          \n",
-       "\u001b[2;36m           \u001b[0mdata/fdve-\u001b[93mc2264f3e-360a-499a-b410-f84ef336d4ec\u001b[0mv1.hdf5                \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a169fc07b7de4e23966fd785fd995c88",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[10:59:31] loading SimulationData from                                          \n",
-       "           data/fdve-0914c5d7-6da1-4127-8b7c-4107cb45dce4v1.hdf5                \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[10:59:31]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from                                          \n",
-       "\u001b[2;36m           \u001b[0mdata/fdve-\u001b[93m0914c5d7-6da1-4127-8b7c-4107cb45dce4\u001b[0mv1.hdf5                \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1a94a477b1b64003883827c348016017",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[10:59:32] loading SimulationData from                                          \n",
-       "           data/fdve-1ac8f06a-d66a-43de-b7a3-035bb6ca86b9v1.hdf5                \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[10:59:32]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from                                          \n",
-       "\u001b[2;36m           \u001b[0mdata/fdve-\u001b[93m1ac8f06a-d66a-43de-b7a3-035bb6ca86b9\u001b[0mv1.hdf5                \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "average power = 2.62e+00\n",
-      "derivative of average power wrt permittivity = -8.79e-01\n"
-     ]
-    }
-   ],
-   "source": [
-    "grad_objective = jax.value_and_grad(objective)\n",
-    "\n",
-    "power_average, grad_power_min = grad_objective(permittivity_val)\n",
-    "print(f\"average power = {power_average:.2e}\")\n",
-    "print(f\"derivative of average power wrt permittivity = {grad_power_min:.2e}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "cbb1fa38-7212-48d2-bd3c-6538f39d378a",
-   "metadata": {},
-   "source": [
-    "### Sanity Checking: Manual Loop over size\n",
-    "\n",
-    "Now we will implement the brute force approach to computing the multi-objective gradient by the naive approach of looping over dy values and computing the individual gradient contributions one by one."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "722f8199-6316-49d0-a53d-2e39c3f649cd",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def grad_manual(permittivity: float) -> float:\n",
-    "    \"\"\"Average of O-th order diffracted power over all dy_sign values.\"\"\"\n",
-    "\n",
-    "    grad_avg = 0.0\n",
-    "\n",
-    "    for dy_sign in (-1, 0, 1):\n",
-    "        print(f\"working on dy_sign = {dy_sign}\")\n",
-    "\n",
-    "        def objective_fn(p, dy_sign=dy_sign):\n",
-    "            sims = make_sim(p, dy_sign=dy_sign)\n",
-    "            sim_data = tda.web.run(sims, task_name=f\"dy_sign={dy_sign}\", verbose=False)\n",
-    "            return post_process(sim_data)\n",
-    "\n",
-    "        grad_fn = jax.grad(objective_fn)\n",
-    "\n",
-    "        gradient = grad_fn(permittivity)\n",
-    "        grad_avg += gradient / 3.0\n",
-    "\n",
-    "    return grad_avg"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "4662f3ea-ec95-4d40-8ac9-255ca3228b18",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "working on dy_sign = -1\n",
-      "working on dy_sign = 0\n",
-      "working on dy_sign = 1\n"
-     ]
-    }
-   ],
-   "source": [
-    "grad_man = grad_manual(permittivity_val)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "274b87fc-b3d4-4d33-a782-d0338b694220",
-   "metadata": {},
-   "source": [
-    "We can see that they match, as expected."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "24aa18da-fa10-4307-acde-ca0ac24bf98e",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "gradient (batched) = -8.7947e-01\n",
-      "gradient (looped) = -8.7947e-01\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(f\"gradient (batched) = {grad_power_min:.4e}\")\n",
-    "print(f\"gradient (looped) = {grad_man:.4e}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2386142b-fe8e-4fa2-b80d-942db85b4d0c",
-   "metadata": {},
-   "source": [
-    "## Takeaways\n",
-    "\n",
-    "The main thing to note here is that, using [plugins.adjoint.web.run_async](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.adjoint.web.run_async.html), all of the individual simulations were uploaded at roughly the same time.\n",
-    "\n",
-    "This means that the server is able to work on them concurrently rather than needing to wait for the previously uploaded one to finish. The time savings for applications with several simulations can be enormous.\n",
-    "\n",
-    "> Note: Native support for multi-frequency output monitors was added in Tidy3D 2.5. Previously it was recommended that users use the `run_async` approach described here for multi-frequency objectives, but this is no longer necessary. That being said, for objectives with very tightly-packed frequency spacing in the output monitors, using a batch approach such as described here may be advantageous as the multi-frequency adjoint approach requires a run_time that scales inversely with the difference between frequency points, potentially requiring long simulation run times. The overall wait time may therefore be shorter using a batch approach."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8595d30c-cba4-4a08-9967-e6ecef80d98f",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3b4eb68b-0923-40c0-a2cf-cc5a99d45bb8",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "description": "This notebook demonstrates how to perform multi-objective adjoint optimization in Tidy3D FDTD using the adjoint plugin.",
-  "feature_image": "",
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "keywords": "adjoint optimization, multi-objective, Tidy3D, FDTD",
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.7"
-  },
-  "title": "Multi-objective Adjoint Optimization in Tidy3D Using the Adjoint Plugin| Flexcompute",
-  "widgets": {
-   "application/vnd.jupyter.widget-state+json": {
-    "state": {
-     "0172e964c13348fc8e48908bfc282672": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_ba5894ecac91402cb58e1acfccf46c8c",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ simulation.hdf5.gz ━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 1.3/1.3 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m1.3/1.3 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "029f76bafae2431087ec71f7c90dbe72": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_9701023e40e342efb9ad862ca9e75f08",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ simulation.hdf5.gz ━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 1.3/1.3 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m1.3/1.3 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "03e03415151e4b46b73c831ec303758f": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_04ab25b62ee74156bc1776ea4157869e",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 62.7/62.7 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m62.7/62.7 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "04ab25b62ee74156bc1776ea4157869e": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "10da14b764cf47db8d9f8e7b7edd0cd0": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "13cfbe9cfc2446c7ad760c4ac47a8e14": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_1cf423d7c88f4e8fbb4a191c40e5d951",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 38.3/38.3 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m38.3/38.3 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "1cf423d7c88f4e8fbb4a191c40e5d951": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "29f8590c361b48bca1e12494fcfb8ab4": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_95536a961542477b8bcfb90afc30a276",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ jax_info.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 174/174 bytes • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34mjax_info.json\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m174/174 bytes\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "3ed07f6927d54b3a809fd1a2af1e7a89": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "415d1fd49bd94508b4e4d77fa274fcb2": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "499d3648550b48f3bbf9220599befb23": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "4c2ee4134272409d94da42708a5c6c6c": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_7c15683d4633430182172947a7fcfcd5",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↓ jax_sim_vjp.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 6.2/6.2 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mjax_sim_vjp.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m6.2/6.2 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "4f1e8a2d262e4ce091d65797c1d76975": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "51362b4ae19f425c894721e7153a3876": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "5253d6ea70a843e4b9bdc30d86b7eca1": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "532c83763d6845d79f635c392ba2ba10": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "544887ce1b4d459cb05cecb61eb0b546": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "5b287f1ec54d4edc812b0e5be7d78757": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_415d1fd49bd94508b4e4d77fa274fcb2",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
0: status = success ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00\n1: status = success ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00\n
\n",
-          "text/plain": "0: status = success \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n1: status = success \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "67909a05940f4ea4b748b21a64df558e": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "70d7dacfaea84f63b243825524612c32": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_aea6d00970cd4766bdf824f29f868ae1",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ simulation.hdf5.gz ━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 1.3/1.3 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m1.3/1.3 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "7c15683d4633430182172947a7fcfcd5": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "7e7995ffb7fb485faeba5de693a949bf": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_10da14b764cf47db8d9f8e7b7edd0cd0",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ jax_info.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 174/174 bytes • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34mjax_info.json\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m174/174 bytes\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "873b53aac2e7469da4adede58ca2ef40": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_3ed07f6927d54b3a809fd1a2af1e7a89",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ jax_info.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 174/174 bytes • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34mjax_info.json\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m174/174 bytes\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "93e15d5f9103491ca4993df8a02c2e47": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_544887ce1b4d459cb05cecb61eb0b546",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ jax_info.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 174/174 bytes • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34mjax_info.json\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m174/174 bytes\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "95536a961542477b8bcfb90afc30a276": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "959610552153492fba3e08354bca36df": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "96bc63fb59434b819086fa5682fee872": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_959610552153492fba3e08354bca36df",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ jax_info.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 174/174 bytes • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34mjax_info.json\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m174/174 bytes\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "9701023e40e342efb9ad862ca9e75f08": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "98d30ee9221c4cea80f01809b2174f15": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_499d3648550b48f3bbf9220599befb23",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 38.3/38.3 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m38.3/38.3 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "99ea96ecfe0c4c8cb8b729c34ee2214e": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_c50da78e61394243b49a8765d0c9a444",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 62.7/62.7 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m62.7/62.7 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "9d3b76b56f1b4221b4caf4d7ce79c2d6": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_d8a41f8c96b94e4f9468c898ae5a392c",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ jax_info.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 174/174 bytes • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34mjax_info.json\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m174/174 bytes\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "a11d036d61b943ac86f9e63b61d52470": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_532c83763d6845d79f635c392ba2ba10",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ simulation.hdf5.gz ━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 1.3/1.3 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m1.3/1.3 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "a144aa87ed224ee0b321964c7a8f7772": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "acd51b46b612471bab3c8b22516a3922": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_f122ef0abd49450e8f83740cda3ac323",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
0: status = success ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00\n1: status = success ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00\n
\n",
-          "text/plain": "0: status = success \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n1: status = success \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "aea6d00970cd4766bdf824f29f868ae1": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "ba5894ecac91402cb58e1acfccf46c8c": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "c2b803fa49ab4a07bb3798c9de3c0e96": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "c3149c9924b048d0a3f6907d76aebee3": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_5253d6ea70a843e4b9bdc30d86b7eca1",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↓ jax_sim_vjp.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 6.2/6.2 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mjax_sim_vjp.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m6.2/6.2 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "c50da78e61394243b49a8765d0c9a444": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "cbd4906e48eb4f709d880b992f3a5ad6": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_67909a05940f4ea4b748b21a64df558e",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ simulation.hdf5.gz ━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 1.2/1.2 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m1.2/1.2 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "cfc68a61986d4370a7c4f9169d174400": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_a144aa87ed224ee0b321964c7a8f7772",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ jax_info.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 174/174 bytes • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34mjax_info.json\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m174/174 bytes\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "d8a41f8c96b94e4f9468c898ae5a392c": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "d908c62a0abc41ca8216cb681e60f691": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_c2b803fa49ab4a07bb3798c9de3c0e96",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ simulation.hdf5.gz ━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 1.2/1.2 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m1.2/1.2 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "e548311d8f314223b890f683f4fda5b7": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_4f1e8a2d262e4ce091d65797c1d76975",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
0: status = success ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00\n1: status = success ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00\n
\n",
-          "text/plain": "0: status = success \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n1: status = success \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "e60fcdf2b7dd46e18a0405558c993289": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_51362b4ae19f425c894721e7153a3876",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ jax_info.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 174/174 bytes • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34mjax_info.json\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m174/174 bytes\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "f122ef0abd49450e8f83740cda3ac323": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     }
-    },
-    "version_major": 2,
-    "version_minor": 0
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/AdjointPlugin5BoundaryGradients.ipynb b/AdjointPlugin5BoundaryGradients.ipynb
deleted file mode 100644
index ac941ee3..00000000
--- a/AdjointPlugin5BoundaryGradients.ipynb
+++ /dev/null
@@ -1,4709 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "efd36345-384e-48fc-b44d-bd01bf9cda15",
-   "metadata": {},
-   "source": [
-    "# Inverse design optimization of a waveguide taper\n",
-    "\n",
-    "> Note: Tidy3D now supports automatic differentiation natively through `autograd`. The `jax`-based `adjoint` plugin will be deprecated from 2.7 onwards. To see this notebook implemented in the new feature, see [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd5BoundaryGradients/).\n",
-    "\n",
-    "> To install the `jax` module required for this feature, we recommend running `pip install \"tidy3d[jax]\"`.\n",
-    "\n",
-    "In this notebook, we will show how to use the adjoint plugin to compute the gradient with respect to the boundaries of a structure defined using a `JaxPolySlab`.\n",
-    "\n",
-    "We will apply this capability to design a non-adiabatic waveguide taper between a narrow and wide waveguide, based loosely on `Michaels, Andrew, and Eli Yablonovitch. \"Leveraging continuous material averaging for inverse electromagnetic design.\" Optics express 26.24 (2018): 31717-31737`.\n",
-    "\n",
-    "\"Schematic\n",
-    "\n",
-    "We start by importing our typical python packages, `jax`, `tidy3d` and its `adjoint` plugin."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "5cc1f2bd-ace7-449f-8260-926f76d0ea53",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import jax\n",
-    "import jax.numpy as jnp\n",
-    "import matplotlib.pylab as plt\n",
-    "import numpy as np\n",
-    "import tidy3d as td\n",
-    "import tidy3d.plugins.adjoint as tda\n",
-    "import tidy3d.web as web\n",
-    "from tidy3d.plugins.adjoint.web import run"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6c95884d-328d-4834-8869-ec50262ce306",
-   "metadata": {},
-   "source": [
-    "## Set up\n",
-    "\n",
-    "Next we will define some basic parameters of the waveguide, such as the input and output waveguide dimensions, taper width, and taper length."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "e6f5cf37-ac64-4ab3-9659-6ad92994a22c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "wavelength = 1.0\n",
-    "freq0 = td.C_0 / wavelength\n",
-    "\n",
-    "wg_width_in = 0.5 * wavelength\n",
-    "wg_width_out = 5.0 * wavelength\n",
-    "\n",
-    "wg_medium = td.material_library[\"Si3N4\"][\"Philipp1973Sellmeier\"]\n",
-    "wg_jax_medium = td.material_library[\"Si3N4\"][\"Philipp1973Sellmeier\"]\n",
-    "\n",
-    "wg_length = 1 * wavelength\n",
-    "taper_length = 10.0\n",
-    "\n",
-    "spc_pml = 1.5 * wavelength\n",
-    "\n",
-    "Lx = wg_length + taper_length + wg_length\n",
-    "Ly = spc_pml + max(wg_width_in, wg_width_out) + spc_pml"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d31afd9e-2b8c-4205-859e-a0c6ca476937",
-   "metadata": {},
-   "source": [
-    "Our taper is defined as a set of `num_points` connected vertices in a polygon. We define the fixed x positions of each vertex and then construct the y positions for the starting device (linear taper)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "2e069d59-6040-476b-92cb-46520184c156",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "num_points = 101\n",
-    "x_start = -taper_length / 2\n",
-    "x_end = +taper_length / 2\n",
-    "xs = np.linspace(x_start, x_end, num_points)\n",
-    "\n",
-    "ys0 = (wg_width_in + (wg_width_out - wg_width_in) * (xs - x_start) / (x_end - x_start)) / 2.0"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "88500eef-64a9-491c-8131-ff41ccf442ff",
-   "metadata": {},
-   "source": [
-    "Let's plot these points to make sure they seem reasonable."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "65d8bf65-53c7-4820-b396-cc9e7a19b72b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.plot(xs, +ys0, \"ko-\")\n",
-    "plt.plot(xs, -ys0, \"ko-\")\n",
-    "plt.xlabel(\"x\")\n",
-    "plt.ylabel(\"y\")\n",
-    "plt.title(\"taper points\")\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "7ecfdad5-32f7-47a2-b872-5ed70260268c",
-   "metadata": {},
-   "source": [
-    "Let's wrap this in a function that constructs these points and then creates a `JaxPolySlab` for use in the `JaxSimulation`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "3b82f941-9c95-4993-96c5-01d7d194383e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def make_taper(ys) -> tda.JaxPolySlab:\n",
-    "    \"\"\"Create a JaxPolySlab for the taper based on the supplied y values.\"\"\"\n",
-    "\n",
-    "    # note, jax doesn't work well with concatenating, so we just construct these vertices for Tidy3D in a loop.\n",
-    "\n",
-    "    vertices = []\n",
-    "    for x, y in zip(xs, ys):\n",
-    "        vertices.append((x, y))\n",
-    "    for x, y in zip(xs[::-1], ys[::-1]):\n",
-    "        vertices.append((x, -y))\n",
-    "\n",
-    "    return tda.JaxPolySlab(vertices=vertices, slab_bounds=(-1, 1), axis=2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "9ed7c2e7-9cf9-4588-9d5a-18c123b4f4d2",
-   "metadata": {},
-   "source": [
-    "Now we'll call this function and plot the geometry for a sanity check."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "aa8ecb67-5d7e-4bab-b563-06ffc59a5167",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# sanity check to see the polyslab\n",
-    "taper_geo = make_taper(ys0)\n",
-    "ax = taper_geo.plot(z=0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "be1105e9-bffb-4eca-8e8d-7802428f8e0f",
-   "metadata": {},
-   "source": [
-    "Next, let's write a function that generates a `JaxSimulation` given a set of y coordinates for the taper, including the monitors, sources, and waveguide geometries. The `JaxStructureStaticMedium` object allows to combine any Tidy3D medium and a `jax`-compatible geometry. This way, we can use dispersive material models from the Tidy3D material library or experimental data."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "a773bf03-5cf6-416c-a982-cc223cdc05d7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def make_sim(ys, include_field_mnt: bool = False) -> tda.JaxSimulation:\n",
-    "    \"\"\"Make a JaxSimulation for the taper.\"\"\"\n",
-    "\n",
-    "    wg_in_box = td.Box.from_bounds(\n",
-    "        rmin=(-Lx, -wg_width_in / 2, -td.inf),\n",
-    "        rmax=(-Lx / 2 + wg_length + 0.01, +wg_width_in / 2, +td.inf),\n",
-    "    )\n",
-    "\n",
-    "    wg_out_box = td.Box.from_bounds(\n",
-    "        rmin=(+Lx / 2 - wg_length - 0.01, -wg_width_out / 2, -td.inf),\n",
-    "        rmax=(+Lx, +wg_width_out / 2, +td.inf),\n",
-    "    )\n",
-    "\n",
-    "    taper_geo = make_taper(ys)\n",
-    "\n",
-    "    wg_in = td.Structure(geometry=wg_in_box, medium=wg_medium)\n",
-    "    wg_out = td.Structure(geometry=wg_out_box, medium=wg_medium)\n",
-    "    taper = tda.JaxStructureStaticMedium(geometry=taper_geo, medium=wg_jax_medium)\n",
-    "\n",
-    "    mode_source = td.ModeSource(\n",
-    "        center=(-Lx / 2 + wg_length / 2, 0, 0),\n",
-    "        size=(0, td.inf, td.inf),\n",
-    "        source_time=td.GaussianPulse(freq0=freq0, fwidth=freq0 / 10),\n",
-    "        direction=\"+\",\n",
-    "    )\n",
-    "\n",
-    "    mode_monitor = td.ModeMonitor(\n",
-    "        center=(+Lx / 2 - wg_length / 2, 0, 0),\n",
-    "        size=(0, td.inf, td.inf),\n",
-    "        freqs=[freq0],\n",
-    "        mode_spec=td.ModeSpec(),\n",
-    "        name=\"mode\",\n",
-    "    )\n",
-    "\n",
-    "    field_monitor = td.FieldMonitor(\n",
-    "        center=(0, 0, 0),\n",
-    "        size=(td.inf, td.inf, 0),\n",
-    "        freqs=[freq0],\n",
-    "        name=\"field\",\n",
-    "    )\n",
-    "\n",
-    "    return tda.JaxSimulation(\n",
-    "        size=(Lx, Ly, 0),\n",
-    "        structures=[wg_in, wg_out],\n",
-    "        input_structures=[taper],\n",
-    "        output_monitors=[mode_monitor],\n",
-    "        monitors=[field_monitor] if include_field_mnt else [],\n",
-    "        sources=[mode_source],\n",
-    "        run_time=100 / freq0,\n",
-    "        grid_spec=td.GridSpec.auto(min_steps_per_wvl=30),\n",
-    "        boundary_spec=td.BoundarySpec.pml(x=True, y=True, z=False),\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "b172f34b-7eb0-4562-8f56-fc3a8dddc6c1",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
14:32:12 JST WARNING: 'JaxPolySlab'-containing                                  \n",
-       "             'JaxSimulation.input_structures[0]' intersects with                \n",
-       "             'JaxSimulation.structures[0]'. Note that in this version of the    \n",
-       "             adjoint plugin, there may be errors in the gradient when           \n",
-       "             'JaxPolySlab' intersects with background structures.               \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m14:32:12 JST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m-containing                                  \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.input_structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m intersects with                \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m. Note that in this version of the    \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31madjoint plugin, there may be errors in the gradient when           \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m intersects with background structures.               \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             WARNING: Suppressed 1 WARNING message.                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m1\u001b[0m\u001b[31m WARNING message.                             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sim = make_sim(ys0)\n",
-    "ax = sim.plot(z=0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ff921bb6-2e73-4966-b12a-e2fac9fc1c31",
-   "metadata": {},
-   "source": [
-    "> Note: we get a warning because the polyslab edges in x intersect with the waveguides. We can ignore this warning because we don't actually care about the gradient w.r.t these edges."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "93fe3cdc-b7dc-4d99-8098-efef06eb11c2",
-   "metadata": {},
-   "source": [
-    "## Defining Objective\n",
-    "\n",
-    "Now that we have a function to create our `JaxSimulation`, we need to define our objective function.\n",
-    "\n",
-    "We will try to optimize the power transmission into the fundamental mode on the output waveguide, so we write a function to postprocess a `JaxSimulationData` to give this result."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "cedf9565-02e0-441d-a485-12e15235de44",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def measure_transmission(sim_data: tda.JaxSimulationData) -> float:\n",
-    "    \"\"\"Measure the first order transmission.\"\"\"\n",
-    "    amp_data = sim_data[\"mode\"].amps\n",
-    "    amp = amp_data.sel(f=freq0, direction=\"+\", mode_index=0)\n",
-    "    return abs(amp) ** 2"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1ddb0e8e-2927-4ff4-8d8a-41a141fd8702",
-   "metadata": {},
-   "source": [
-    "Next, we will define a few convenience functions to generate our taper `y` values passed on our objective function parameters.\n",
-    "\n",
-    "We define a set of parameters that can range from -infinity to +infinity, but project onto the range [`wg_width_out` and `wg_width_in`] through a `tanh()` function.\n",
-    "\n",
-    "We do this to constrain the taper values within this range in a smooth and differentiable way.\n",
-    "\n",
-    "We also write an inverse function to get the parameters given a set of desired `y` values and assert that this function works properly."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "b014fa68-37df-40e6-88a7-60e572dd55e3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def get_ys(parameters: np.ndarray) -> np.ndarray:\n",
-    "    \"\"\"Convert arbitrary parameters to y values for the vertices (parameter (-inf, inf) -> wg width of (wg_width_out, wg_width_in).\"\"\"\n",
-    "\n",
-    "    params_between_0_1 = (jnp.tanh(np.pi * parameters) + 1.0) / 2.0\n",
-    "\n",
-    "    params_scaled = params_between_0_1 * (wg_width_out - wg_width_in) / 2.0\n",
-    "    ys = params_scaled + wg_width_in / 2\n",
-    "    return ys\n",
-    "\n",
-    "\n",
-    "def get_params(ys: np.ndarray) -> np.ndarray:\n",
-    "    \"\"\"inverse of above, get parameters from ys\"\"\"\n",
-    "    params_scaled = ys - wg_width_in / 2\n",
-    "    params_between_0_1 = 2 * params_scaled / (wg_width_out - wg_width_in)\n",
-    "    tanh_pi_params = 2 * params_between_0_1 - 1\n",
-    "    params = np.arctanh(tanh_pi_params) / np.pi\n",
-    "    return params\n",
-    "\n",
-    "\n",
-    "# assert that the inverse function works properly\n",
-    "params_test = 2 * (np.random.random((10,)) - 0.5)\n",
-    "ys_test = get_ys(params_test)\n",
-    "assert np.allclose(get_params(ys_test), params_test)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6fe8c364-eb73-402d-9c49-70d298a4dfbc",
-   "metadata": {},
-   "source": [
-    "We then make a function that simply wraps our previously defined functions to generate a `JaxSimulation` given some parameters."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "11f727a5-6c57-413c-ac36-35fb68b8db74",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def make_sim_params(parameters: np.ndarray, include_field_mnt: bool = False) -> tda.JaxSimulation:\n",
-    "    \"\"\"Make the simulation out of raw parameters.\"\"\"\n",
-    "    ys = get_ys(parameters)\n",
-    "    return make_sim(ys, include_field_mnt=include_field_mnt)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "69d64efc-219f-48d5-8317-71cabd3c0686",
-   "metadata": {},
-   "source": [
-    "### Smoothness Penalty\n",
-    "\n",
-    "It is important to ensure that the final device does not contain feature sizes below a minimum radius of curvature, otherwise there could be considerable difficulty in fabricating the device reliably.\n",
-    "\n",
-    "For this, we implement a penalty function that approximates the radius of curvature about each vertex and introduces a significant penalty to the objective function if that value is below a minimum radius of 150nm. \n",
-    "\n",
-    "We also include some tunable parameters to adjust the characteristics of this penalty.\n",
-    "\n",
-    "The radii are determined by fitting a quadratic Bezier curve to each set of 3 adjacent points in the taper and analytically computing the radius of curvature from that curve fit. The details of this calculation are described in the paper linked at the introduction of this notebook."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "088a589b-29b8-4a31-93db-d5244fcb07af",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def smooth_penalty(\n",
-    "    parameters: np.ndarray, min_radius: float = 0.150, alpha: float = 1.0, kappa: float = 10.0\n",
-    ") -> float:\n",
-    "    \"\"\"Penalty between 0 and alpha based on radius of curvature.\"\"\"\n",
-    "\n",
-    "    def quad_fit(p0, pc, p2):\n",
-    "        \"\"\"Quadratic bezier fit (and derivatives) for three points.\n",
-    "        (x(t), y(t)) = P(t) = P0*t^2 + P1*2*t*(1-t) + P2*(1-t)^2\n",
-    "         t in [0, 1]\n",
-    "        \"\"\"\n",
-    "\n",
-    "        # ensure curve goes through (x1, y1) at t=0.5\n",
-    "        p1 = 2 * pc - p0 / 2 - p2 / 2\n",
-    "\n",
-    "        def p(t):\n",
-    "            \"\"\"Bezier curve parameterization.\"\"\"\n",
-    "            term0 = (1 - t) ** 2 * (p0 - p1)\n",
-    "            term1 = p1\n",
-    "            term2 = t**2 * (p2 - p1)\n",
-    "            return term0 + term1 + term2\n",
-    "\n",
-    "        def d_p(t):\n",
-    "            \"\"\"First derivative function.\"\"\"\n",
-    "            d_term0 = 2 * (1 - t) * (p1 - p0)\n",
-    "            d_term2 = 2 * t * (p2 - p1)\n",
-    "            return d_term0 + d_term2\n",
-    "\n",
-    "        def d2_p(t):\n",
-    "            \"\"\"Second derivative function.\"\"\"\n",
-    "            d2_term0 = 2 * p0\n",
-    "            d2_term1 = -4 * p1\n",
-    "            d2_term2 = 2 * p2\n",
-    "            return d2_term0 + d2_term1 + d2_term2\n",
-    "\n",
-    "        return p, d_p, d2_p\n",
-    "\n",
-    "    def get_fit_vals(xs, ys):\n",
-    "        \"\"\"Get the values of the bezier curve and its derivatives at t=0.5 along the taper.\"\"\"\n",
-    "\n",
-    "        ps = jnp.stack((xs, ys), axis=1)\n",
-    "        p0 = ps[:-2]\n",
-    "        pc = ps[1:-1]\n",
-    "        p2 = ps[2:]\n",
-    "\n",
-    "        p, d_p, d_2p = quad_fit(p0, pc, p2)\n",
-    "\n",
-    "        ps = p(0.5)\n",
-    "        dps = d_p(0.5)\n",
-    "        d2ps = d_2p(0.5)\n",
-    "        return ps.T, dps.T, d2ps.T\n",
-    "\n",
-    "    def get_radii_curvature(xs, ys):\n",
-    "        \"\"\"Get the radii of curvature at each (internal) point along the taper.\"\"\"\n",
-    "        ps, dps, d2ps = get_fit_vals(xs, ys)\n",
-    "        xp, yp = dps\n",
-    "        xp2, yp2 = d2ps\n",
-    "        num = (xp**2 + yp**2) ** (3.0 / 2.0)\n",
-    "        den = abs(xp * yp2 - yp * xp2) + 1e-2\n",
-    "        return num / den\n",
-    "\n",
-    "    def penalty_fn(radius):\n",
-    "        \"\"\"Get the penalty for a given radius.\"\"\"\n",
-    "        arg = -kappa * (min_radius - radius)\n",
-    "        return alpha * ((1 + jnp.exp(arg)) ** (-1))\n",
-    "\n",
-    "    ys = get_ys(parameters)\n",
-    "    rs = get_radii_curvature(xs, ys)\n",
-    "\n",
-    "    # return the average penalty over the points\n",
-    "    return jnp.sum(penalty_fn(rs)) / len(rs)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6b1ab924-4dec-466b-8145-4c6cbfccd478",
-   "metadata": {},
-   "source": [
-    "### Using Tidy3d Convenience wrappers\n",
-    "\n",
-    "In Tidy3D 2.4.0, there are wrappers for the above operations which you may use instead for added convenience.\n",
-    "\n",
-    "We will implement the radius of curvature penalty using such a wrapper below."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "id": "07417057-555e-4f52-beef-f0f590f4aaa1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from tidy3d.plugins.adjoint.utils.penalty import RadiusPenalty\n",
-    "\n",
-    "penalty = RadiusPenalty(min_radius=0.150, alpha=1.0, kappa=10.0)\n",
-    "vertices0 = jnp.array(make_taper(ys0).vertices)\n",
-    "penalty_value = penalty.evaluate(vertices0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "54f681ab-f956-40bc-a838-542ea9484ef0",
-   "metadata": {},
-   "source": [
-    "### Initial Starting Design\n",
-    "\n",
-    "As our initial design, we take a linear taper between the two waveguides. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "2c9c15e4-ec99-4e87-8bf5-665fddad0859",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:36:28.366457Z",
-     "iopub.status.busy": "2023-08-17T23:36:28.366314Z",
-     "iopub.status.idle": "2023-08-17T23:36:29.061502Z",
-     "shell.execute_reply": "2023-08-17T23:36:29.060892Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
17:53:04 -03 WARNING: 'JaxPolySlab'-containing                                  \n",
-       "             'JaxSimulation.input_structures[0]' intersects with                \n",
-       "             'JaxSimulation.structures[0]'. Note that in this version of the    \n",
-       "             adjoint plugin, there may be errors in the gradient when           \n",
-       "             'JaxPolySlab' intersects with background structures.               \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:53:04 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m-containing                                  \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.input_structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m intersects with                \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m. Note that in this version of the    \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31madjoint plugin, there may be errors in the gradient when           \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m intersects with background structures.               \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             WARNING: Suppressed 1 WARNING message.                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m1\u001b[0m\u001b[31m WARNING message.                             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# desired ys\n",
-    "ys0 = np.linspace(wg_width_in / 2 + 0.001, wg_width_out / 2 - 0.001, num_points)\n",
-    "\n",
-    "# corresponding parameters\n",
-    "params0 = get_params(ys0)\n",
-    "\n",
-    "# make the simulation corresponding to these parameters\n",
-    "sim = make_sim_params(params0, include_field_mnt=True)\n",
-    "ax = sim.plot(z=0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6b135ce1-1ed7-4131-b8ca-fd8a1e483c66",
-   "metadata": {},
-   "source": [
-    "Lets get the penalty value corresponding to this design, it should be relatively low, but the random variations could introduce a bit of penalty."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "id": "83cad184-38ce-4d1c-b4db-2d06e1a5526d",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:36:29.063631Z",
-     "iopub.status.busy": "2023-08-17T23:36:29.063403Z",
-     "iopub.status.idle": "2023-08-17T23:36:29.087175Z",
-     "shell.execute_reply": "2023-08-17T23:36:29.086649Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "starting penalty = 0.00e+00\n"
-     ]
-    }
-   ],
-   "source": [
-    "penalty_value = penalty.evaluate(vertices0)\n",
-    "print(f\"starting penalty = {float(penalty_value):.2e}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "afc2768c-345d-40de-8126-b7cedf4e4a71",
-   "metadata": {},
-   "source": [
-    "Finally, let's run this simulation to get a feeling for the initial device performance."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "b12af10e-0d9c-4001-a353-b0edc286e592",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:36:29.089198Z",
-     "iopub.status.busy": "2023-08-17T23:36:29.089046Z",
-     "iopub.status.idle": "2023-08-17T23:37:06.285542Z",
-     "shell.execute_reply": "2023-08-17T23:37:06.284962Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
17:53:06 -03 Created task 'taper fields' with task_id                           \n",
-       "             'fdve-cf6300e1-3e08-4a63-a999-528a07f533bb' and task_type 'FDTD'.  \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:53:06 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'taper fields'\u001b[0m with task_id                           \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-cf6300e1-3e08-4a63-a999-528a07f533bb'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             View task using web UI at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e0\n",
-       "             8-4a63-a999-528a07f533bb'.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=759204;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=911666;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=759204;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=92002;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=759204;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[32m-cf6300e1-3e0\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=759204;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[32m8-4a63-a999-528a07f533bb'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "94f8863937824741a864ac94cdf9e949",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:53:09 -03 status = queued                                                    \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:53:09 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ec3fb5b3c74342a0bfccfcde31c07ca4",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:53:18 -03 status = preprocess                                                \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:53:18 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:53:26 -03 Maximum FlexCredit cost: 0.025. Use 'web.real_cost(task_id)' to get\n",
-       "             the billed FlexCredit cost after a simulation run.                 \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:53:26 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get\n",
-       "\u001b[2;36m             \u001b[0mthe billed FlexCredit cost after a simulation run.                 \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             starting up solver                                                 \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:53:27 -03 running solver                                                     \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:53:27 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             To cancel the simulation, use 'web.abort(task_id)' or              \n",
-       "             'web.delete(task_id)' or abort/delete the task in the web UI.      \n",
-       "             Terminating the Python script will not stop the job running on the \n",
-       "             cloud.                                                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
-       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
-       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "8ec7b1a09b3d4322a2dd7cc7e2874835",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:53:35 -03 early shutoff detected at 40%, exiting.                            \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:53:35 -03\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m40\u001b[0m%, exiting.                            \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             status = postprocess                                               \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "7f17e3f64eb8456289e2e17447666404",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:53:45 -03 status = success                                                   \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:53:45 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             View simulation result at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e0\n",
-       "             8-4a63-a999-528a07f533bb'.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=370387;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=796552;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=370387;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=635224;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=370387;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[4;34m-cf6300e1-3e0\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=370387;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf6300e1-3e08-4a63-a999-528a07f533bb\u001b\\\u001b[4;34m8-4a63-a999-528a07f533bb'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "58d84e282ed749bf890ae3a6b18116be",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:53:51 -03 loading simulation from simulation_data.hdf5                       \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:53:51 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sim_data = web.run(sim.to_simulation()[0], task_name=\"taper fields\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "b991b676-1a04-49d3-b109-09562e0371c0",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:37:06.937506Z",
-     "iopub.status.busy": "2023-08-17T23:37:06.937366Z",
-     "iopub.status.idle": "2023-08-17T23:37:09.179997Z",
-     "shell.execute_reply": "2023-08-17T23:37:09.179295Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "f, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(10, 3))\n",
-    "sim_data.plot_field(field_monitor_name=\"field\", field_name=\"Ez\", val=\"real\", ax=ax1)\n",
-    "sim_data.plot_field(field_monitor_name=\"field\", field_name=\"E\", val=\"abs\", ax=ax2)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6171eaae-0a50-4106-acef-c6554c26db59",
-   "metadata": {},
-   "source": [
-    "## Gradient-based Optimization\n",
-    "\n",
-    "Now that we have our design and post processing functions set up, we are finally ready to put everything together to start optimizing our device with inverse design.\n",
-    "\n",
-    "We first set up an objective function that takes the parameters, sets up and runs the simulation, and returns the transmission minus the penalty of the parameters.\n",
-    "\n",
-    "###  IMPORTANT NOTE FOR <= 2.6 USERS \n",
-    "> In Tidy3D 2.7, the `adjoint` plugin internals were refactored for better performance and reliability. Several geometry and medium fields, such as `JaxPolySlab.vertices` no longer directly store the `jax-traced` values. Instead, they store regular `float` or `np.ndarray` values. As such, these fields should not be used in the objective function directly, or else they will give a gradient contribution of 0. The `jax`-traced fields are stored in a field with the same name but with `_jax` suffix, eg. `JaxPolySlab.vertices_jax`. You may use this in the objective function contributions, eg. `RadiusPenalty.evaluate()` as before.\n",
-    "\n",
-    "> If your previous scripts used `geometry.vertices` in the penalty function, please change it."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "id": "c693a704-702b-4385-8eab-cd32dc4453a5",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:37:09.182707Z",
-     "iopub.status.busy": "2023-08-17T23:37:09.182523Z",
-     "iopub.status.idle": "2023-08-17T23:37:09.202919Z",
-     "shell.execute_reply": "2023-08-17T23:37:09.202432Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "def objective(parameters: np.ndarray, verbose: bool = False) -> float:\n",
-    "    \"\"\"Construct simulation, run, and measure transmission.\"\"\"\n",
-    "    sim = make_sim_params(parameters, include_field_mnt=False)\n",
-    "    sim_data = run(sim, task_name=\"adjoint_taper\", path=\"data/simulation.hdf5\", verbose=verbose)\n",
-    "    return measure_transmission(sim_data) - penalty.evaluate(\n",
-    "        sim.input_structures[0].geometry.vertices_jax\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c1b5e21d-679d-403f-a498-2b0041eaf7d7",
-   "metadata": {},
-   "source": [
-    "To test our our objective, we will use jax to make and run a function that returns the objective value and its gradient."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "id": "2674e8d2-c0af-407a-8b82-fb9c49c24cd6",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:37:09.205400Z",
-     "iopub.status.busy": "2023-08-17T23:37:09.205216Z",
-     "iopub.status.idle": "2023-08-17T23:37:09.224363Z",
-     "shell.execute_reply": "2023-08-17T23:37:09.223813Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "grad_fn = jax.value_and_grad(objective)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "id": "d8936843-692f-4e3b-a4be-b900bf82396f",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:37:09.226666Z",
-     "iopub.status.busy": "2023-08-17T23:37:09.226496Z",
-     "iopub.status.idle": "2023-08-17T23:38:51.941589Z",
-     "shell.execute_reply": "2023-08-17T23:38:51.941048Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
17:54:39 -03 WARNING: 'JaxPolySlab'-containing                                  \n",
-       "             'JaxSimulation.input_structures[0]' intersects with                \n",
-       "             'JaxSimulation.structures[0]'. Note that in this version of the    \n",
-       "             adjoint plugin, there may be errors in the gradient when           \n",
-       "             'JaxPolySlab' intersects with background structures.               \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:54:39 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m-containing                                  \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.input_structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m intersects with                \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m. Note that in this version of the    \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31madjoint plugin, there may be errors in the gradient when           \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m intersects with background structures.               \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             WARNING: Suppressed 1 WARNING message.                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m1\u001b[0m\u001b[31m WARNING message.                             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             WARNING: 'JaxPolySlab'-containing                                  \n",
-       "             'JaxSimulation.input_structures[0]' intersects with                \n",
-       "             'JaxSimulation.structures[0]'. Note that in this version of the    \n",
-       "             adjoint plugin, there may be errors in the gradient when           \n",
-       "             'JaxPolySlab' intersects with background structures.               \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m-containing                                  \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.input_structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m intersects with                \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m. Note that in this version of the    \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31madjoint plugin, there may be errors in the gradient when           \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m intersects with background structures.               \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             WARNING: Suppressed 1 WARNING message.                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m1\u001b[0m\u001b[31m WARNING message.                             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:54:40 -03 Created task 'adjoint_taper' with task_id                          \n",
-       "             'fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623' and task_type 'FDTD'.  \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:54:40 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'adjoint_taper'\u001b[0m with task_id                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             View task using web UI at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f39\n",
-       "             4-4f6d-9b99-4e73b6d15623'.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=314117;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=192523;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=314117;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=109192;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=314117;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[32m-bb88979f-f39\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=314117;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[32m4-4f6d-9b99-4e73b6d15623'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "cf5088546caf412085d150cd625a2db8",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "117012e6ed8e41f2ab31360b46c8f36b",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:54:44 -03 status = queued                                                    \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:54:44 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "47cc614c6c374f249f33c75f5b0afcb9",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:54:54 -03 status = preprocess                                                \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:54:54 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:55:00 -03 Maximum FlexCredit cost: 0.025. Use 'web.real_cost(task_id)' to get\n",
-       "             the billed FlexCredit cost after a simulation run.                 \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:55:00 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get\n",
-       "\u001b[2;36m             \u001b[0mthe billed FlexCredit cost after a simulation run.                 \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             starting up solver                                                 \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             running solver                                                     \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             To cancel the simulation, use 'web.abort(task_id)' or              \n",
-       "             'web.delete(task_id)' or abort/delete the task in the web UI.      \n",
-       "             Terminating the Python script will not stop the job running on the \n",
-       "             cloud.                                                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
-       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
-       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "63ae5877043143209ccfb203739e3a9e",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:55:08 -03 early shutoff detected at 40%, exiting.                            \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:55:08 -03\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m40\u001b[0m%, exiting.                            \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:55:09 -03 status = postprocess                                               \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:55:09 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ea1cb72e78fe492a9fd32e6b483a804c",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:55:17 -03 status = success                                                   \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:55:17 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             View simulation result at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f39\n",
-       "             4-4f6d-9b99-4e73b6d15623'.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=891948;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=472716;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=891948;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=360361;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=891948;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[4;34m-bb88979f-f39\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=891948;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bb88979f-f394-4f6d-9b99-4e73b6d15623\u001b\\\u001b[4;34m4-4f6d-9b99-4e73b6d15623'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6b062df34de3488bae0f33971aed266b",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:55:19 -03 loading simulation from simulation_data.hdf5                       \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:55:19 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             WARNING: 'JaxPolySlab'-containing                                  \n",
-       "             'JaxSimulation.input_structures[0]' intersects with                \n",
-       "             'JaxSimulation.structures[0]'. Note that in this version of the    \n",
-       "             adjoint plugin, there may be errors in the gradient when           \n",
-       "             'JaxPolySlab' intersects with background structures.               \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m-containing                                  \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.input_structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m intersects with                \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m. Note that in this version of the    \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31madjoint plugin, there may be errors in the gradient when           \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m intersects with background structures.               \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             WARNING: Suppressed 1 WARNING message.                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m1\u001b[0m\u001b[31m WARNING message.                             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             WARNING: 'JaxPolySlab'-containing                                  \n",
-       "             'JaxSimulation.input_structures[0]' intersects with                \n",
-       "             'JaxSimulation.structures[0]'. Note that in this version of the    \n",
-       "             adjoint plugin, there may be errors in the gradient when           \n",
-       "             'JaxPolySlab' intersects with background structures.               \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m-containing                                  \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.input_structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m intersects with                \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m. Note that in this version of the    \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31madjoint plugin, there may be errors in the gradient when           \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m intersects with background structures.               \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             WARNING: Suppressed 1 WARNING message.                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m1\u001b[0m\u001b[31m WARNING message.                             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:55:21 -03 WARNING: 'JaxPolySlab'-containing                                  \n",
-       "             'JaxSimulation.input_structures[0]' intersects with                \n",
-       "             'JaxSimulation.structures[0]'. Note that in this version of the    \n",
-       "             adjoint plugin, there may be errors in the gradient when           \n",
-       "             'JaxPolySlab' intersects with background structures.               \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:55:21 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m-containing                                  \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.input_structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m intersects with                \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m. Note that in this version of the    \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31madjoint plugin, there may be errors in the gradient when           \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m intersects with background structures.               \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             WARNING: Suppressed 1 WARNING message.                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m1\u001b[0m\u001b[31m WARNING message.                             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             WARNING: 'JaxPolySlab'-containing                                  \n",
-       "             'JaxSimulation.input_structures[0]' intersects with                \n",
-       "             'JaxSimulation.structures[0]'. Note that in this version of the    \n",
-       "             adjoint plugin, there may be errors in the gradient when           \n",
-       "             'JaxPolySlab' intersects with background structures.               \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m-containing                                  \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.input_structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m intersects with                \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m. Note that in this version of the    \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31madjoint plugin, there may be errors in the gradient when           \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m intersects with background structures.               \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             WARNING: Suppressed 1 WARNING message.                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m1\u001b[0m\u001b[31m WARNING message.                             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             Created task 'adjoint_taper_adj' with task_id                      \n",
-       "             'fdve-829c708b-56bb-44a9-85eb-d12ead875af4' and task_type 'FDTD'.  \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'adjoint_taper_adj'\u001b[0m with task_id                      \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-829c708b-56bb-44a9-85eb-d12ead875af4'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             View task using web UI at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56b\n",
-       "             b-44a9-85eb-d12ead875af4'.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=323271;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=479289;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=323271;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=908604;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=323271;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[32m-829c708b-56b\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=323271;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[32mb-44a9-85eb-d12ead875af4'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "65bf916a17424ede80764d83cb9f883c",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "bcb4f6eb484f46b395b2d89b2ed84b44",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:55:25 -03 status = queued                                                    \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:55:25 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "51e2fd01ac174209988cacd22d746846",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:55:34 -03 status = preprocess                                                \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:55:34 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:55:37 -03 Maximum FlexCredit cost: 0.025. Use 'web.real_cost(task_id)' to get\n",
-       "             the billed FlexCredit cost after a simulation run.                 \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:55:37 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get\n",
-       "\u001b[2;36m             \u001b[0mthe billed FlexCredit cost after a simulation run.                 \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             starting up solver                                                 \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:55:38 -03 running solver                                                     \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:55:38 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             To cancel the simulation, use 'web.abort(task_id)' or              \n",
-       "             'web.delete(task_id)' or abort/delete the task in the web UI.      \n",
-       "             Terminating the Python script will not stop the job running on the \n",
-       "             cloud.                                                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
-       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
-       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b592644e9e3147758f76dfff890f7e91",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:55:46 -03 early shutoff detected at 8%, exiting.                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:55:46 -03\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m8\u001b[0m%, exiting.                             \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             status = postprocess                                               \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a21defa14fa84af486e5cfc7f62230eb",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
17:55:53 -03 status = success                                                   \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m17:55:53 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             View simulation result at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56b\n",
-       "             b-44a9-85eb-d12ead875af4'.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=679975;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=249525;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=679975;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=963902;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=679975;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[4;34m-829c708b-56b\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=679975;https://tidy3d.simulation.cloud/workbench?taskId=fdve-829c708b-56bb-44a9-85eb-d12ead875af4\u001b\\\u001b[4;34mb-44a9-85eb-d12ead875af4'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5467f5cd10fc43899627539b381725ab",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "val, grad = grad_fn(params0, verbose=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "id": "d9612664-1030-4914-bb2a-03b4ffcefdaa",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:38:53.843364Z",
-     "iopub.status.busy": "2023-08-17T23:38:53.843115Z",
-     "iopub.status.idle": "2023-08-17T23:38:53.863543Z",
-     "shell.execute_reply": "2023-08-17T23:38:53.863099Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "objective = 7.19e-01\n",
-      "gradient = [ 2.71207769e-03  1.06148072e-01  4.84825969e-02 -1.41210541e-01\n",
-      " -2.67507136e-01 -3.53514314e-01 -4.04454678e-01 -3.16792846e-01\n",
-      " -2.08037823e-01 -8.59880447e-02  1.24843515e-01  1.69099435e-01\n",
-      "  4.28064093e-02  1.63800269e-02  9.93956625e-02  2.47591525e-01\n",
-      "  3.55272055e-01  3.94703865e-01  4.48716551e-01  3.94270569e-01\n",
-      "  2.96383291e-01  2.34637365e-01  1.15221784e-01  9.00208130e-02\n",
-      "  1.12314552e-01  4.43161428e-02  6.85510552e-03 -2.83381902e-02\n",
-      " -5.76341972e-02 -4.27867882e-02 -3.37758288e-02  9.33956075e-03\n",
-      "  3.78074571e-02  3.67486328e-02  0.00000000e+00  0.00000000e+00\n",
-      "  0.00000000e+00  0.00000000e+00  2.39209589e-02  8.26518703e-03\n",
-      " -7.68248085e-03 -3.43262851e-02 -4.34620529e-02 -4.13822420e-02\n",
-      " -4.34709378e-02 -4.43057232e-02 -4.08759601e-02 -3.75956520e-02\n",
-      "  0.00000000e+00  0.00000000e+00  0.00000000e+00  0.00000000e+00\n",
-      "  0.00000000e+00 -4.03490365e-02 -4.57080789e-02 -5.10892384e-02\n",
-      " -4.67417762e-02 -5.29423878e-02 -4.61914130e-02 -4.05969881e-02\n",
-      " -4.51477878e-02 -3.92075628e-02 -4.43347208e-02 -4.46286537e-02\n",
-      " -4.21377458e-02 -4.75024618e-02 -4.13158908e-02 -4.13195603e-02\n",
-      " -3.98531072e-02 -3.41202244e-02 -3.69236916e-02 -3.42656896e-02\n",
-      " -3.31429392e-02 -3.23140435e-02 -2.90086549e-02 -2.82389168e-02\n",
-      " -2.48387903e-02 -2.40148660e-02 -2.29546241e-02 -2.07484011e-02\n",
-      " -1.96003020e-02 -1.69872716e-02 -1.56198898e-02 -1.38210198e-02\n",
-      " -1.28083043e-02 -1.14396280e-02 -9.53127444e-03 -8.99357256e-03\n",
-      " -6.99131191e-03 -6.39675511e-03 -5.54914912e-03 -4.02912172e-03\n",
-      " -3.70020024e-03  0.00000000e+00  0.00000000e+00  0.00000000e+00\n",
-      "  0.00000000e+00  0.00000000e+00 -1.74395434e-04 -7.77108871e-05\n",
-      " -2.65569292e-06]\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(f\"objective = {val:.2e}\")\n",
-    "print(f\"gradient = {np.nan_to_num(grad)}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6613a956-3263-4904-b520-10722f12d83e",
-   "metadata": {},
-   "source": [
-    "Now we can run `optax`'s Adam optimization loop with this `value_and_grad()` function. See tutorial 3 for more details on the implementation."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "id": "6d93407b-bb18-4b17-a073-c97b980c810b",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-17T23:38:53.865446Z",
-     "iopub.status.busy": "2023-08-17T23:38:53.865304Z",
-     "iopub.status.idle": "2023-08-18T00:22:17.548799Z",
-     "shell.execute_reply": "2023-08-18T00:22:17.548412Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "step = 1\n",
-      "\tJ = 7.1900e-01\n",
-      "\tgrad_norm = 1.2431e+00\n",
-      "step = 2\n",
-      "\tJ = 7.4457e-01\n",
-      "\tgrad_norm = 3.0956e+00\n",
-      "step = 3\n",
-      "\tJ = 7.8507e-01\n",
-      "\tgrad_norm = 3.9803e+00\n",
-      "step = 4\n",
-      "\tJ = 8.2712e-01\n",
-      "\tgrad_norm = 2.8943e+00\n",
-      "step = 5\n",
-      "\tJ = 8.5855e-01\n",
-      "\tgrad_norm = 3.0015e+00\n",
-      "step = 6\n",
-      "\tJ = 8.8245e-01\n",
-      "\tgrad_norm = 3.9600e+00\n",
-      "step = 7\n",
-      "\tJ = 8.7541e-01\n",
-      "\tgrad_norm = 5.5646e+00\n",
-      "step = 8\n",
-      "\tJ = 8.9146e-01\n",
-      "\tgrad_norm = 5.3756e+00\n",
-      "step = 9\n",
-      "\tJ = 8.9377e-01\n",
-      "\tgrad_norm = 6.2556e+00\n",
-      "step = 10\n",
-      "\tJ = 9.1782e-01\n",
-      "\tgrad_norm = 4.8957e+00\n",
-      "step = 11\n",
-      "\tJ = 9.2116e-01\n",
-      "\tgrad_norm = 4.9372e+00\n",
-      "step = 12\n",
-      "\tJ = 9.2062e-01\n",
-      "\tgrad_norm = 6.2027e+00\n",
-      "step = 13\n",
-      "\tJ = 9.4761e-01\n",
-      "\tgrad_norm = 4.1500e+00\n",
-      "step = 14\n",
-      "\tJ = 9.4234e-01\n",
-      "\tgrad_norm = 4.1013e+00\n",
-      "step = 15\n",
-      "\tJ = 9.3209e-01\n",
-      "\tgrad_norm = 4.6997e+00\n",
-      "step = 16\n",
-      "\tJ = 9.3425e-01\n",
-      "\tgrad_norm = 4.5537e+00\n",
-      "step = 17\n",
-      "\tJ = 9.4294e-01\n",
-      "\tgrad_norm = 4.1936e+00\n",
-      "step = 18\n",
-      "\tJ = 9.4867e-01\n",
-      "\tgrad_norm = 4.1816e+00\n",
-      "step = 19\n",
-      "\tJ = 9.5344e-01\n",
-      "\tgrad_norm = 4.0164e+00\n",
-      "step = 20\n",
-      "\tJ = 9.5720e-01\n",
-      "\tgrad_norm = 3.5860e+00\n",
-      "step = 21\n",
-      "\tJ = 9.5600e-01\n",
-      "\tgrad_norm = 3.8795e+00\n",
-      "step = 22\n",
-      "\tJ = 9.5947e-01\n",
-      "\tgrad_norm = 3.7678e+00\n",
-      "step = 23\n",
-      "\tJ = 9.6865e-01\n",
-      "\tgrad_norm = 3.2645e+00\n",
-      "step = 24\n",
-      "\tJ = 9.7231e-01\n",
-      "\tgrad_norm = 3.0108e+00\n",
-      "step = 25\n",
-      "\tJ = 9.7019e-01\n",
-      "\tgrad_norm = 3.5280e+00\n",
-      "step = 26\n",
-      "\tJ = 9.7600e-01\n",
-      "\tgrad_norm = 2.7345e+00\n",
-      "step = 27\n",
-      "\tJ = 9.7893e-01\n",
-      "\tgrad_norm = 2.8836e+00\n",
-      "step = 28\n",
-      "\tJ = 9.8154e-01\n",
-      "\tgrad_norm = 2.0772e+00\n",
-      "step = 29\n",
-      "\tJ = 9.8094e-01\n",
-      "\tgrad_norm = 2.2520e+00\n",
-      "step = 30\n",
-      "\tJ = 9.8241e-01\n",
-      "\tgrad_norm = 2.3039e+00\n",
-      "step = 31\n",
-      "\tJ = 9.8696e-01\n",
-      "\tgrad_norm = 1.2431e+00\n",
-      "step = 32\n",
-      "\tJ = 9.8657e-01\n",
-      "\tgrad_norm = 1.8214e+00\n",
-      "step = 33\n",
-      "\tJ = 9.8649e-01\n",
-      "\tgrad_norm = 1.7739e+00\n",
-      "step = 34\n",
-      "\tJ = 9.8759e-01\n",
-      "\tgrad_norm = 1.7228e+00\n",
-      "step = 35\n",
-      "\tJ = 9.8928e-01\n",
-      "\tgrad_norm = 1.1017e+00\n",
-      "step = 36\n",
-      "\tJ = 9.8976e-01\n",
-      "\tgrad_norm = 1.0232e+00\n",
-      "step = 37\n",
-      "\tJ = 9.8942e-01\n",
-      "\tgrad_norm = 1.5094e+00\n",
-      "step = 38\n",
-      "\tJ = 9.9082e-01\n",
-      "\tgrad_norm = 8.2405e-01\n",
-      "step = 39\n",
-      "\tJ = 9.9057e-01\n",
-      "\tgrad_norm = 1.2295e+00\n",
-      "step = 40\n",
-      "\tJ = 9.9132e-01\n",
-      "\tgrad_norm = 8.7248e-01\n",
-      "step = 41\n",
-      "\tJ = 9.9202e-01\n",
-      "\tgrad_norm = 7.9684e-01\n"
-     ]
-    }
-   ],
-   "source": [
-    "import optax\n",
-    "\n",
-    "# turn off warnings to reduce verbosity\n",
-    "td.config.logging_level = \"ERROR\"\n",
-    "\n",
-    "# hyperparameters\n",
-    "num_steps = 41\n",
-    "learning_rate = 0.01\n",
-    "\n",
-    "# initialize adam optimizer with starting parameters\n",
-    "params = np.array(params0).copy()\n",
-    "optimizer = optax.adam(learning_rate=learning_rate)\n",
-    "opt_state = optimizer.init(params)\n",
-    "\n",
-    "# store history\n",
-    "objective_history = []\n",
-    "param_history = [params]\n",
-    "\n",
-    "for i in range(num_steps):\n",
-    "    # compute gradient and current objective function value\n",
-    "    value, gradient = grad_fn(params, verbose=False)\n",
-    "\n",
-    "    # convert nan to 0 (infinite radius of curvature) and multiply all by -1 to maximize obj_fn.\n",
-    "    gradient = -1 * np.nan_to_num(np.array(gradient.copy()))\n",
-    "\n",
-    "    # outputs\n",
-    "    print(f\"step = {i + 1}\")\n",
-    "    print(f\"\\tJ = {value:.4e}\")\n",
-    "    print(f\"\\tgrad_norm = {np.linalg.norm(gradient):.4e}\")\n",
-    "\n",
-    "    # compute and apply updates to the optimizer based on gradient\n",
-    "    updates, opt_state = optimizer.update(gradient, opt_state, params)\n",
-    "    params = optax.apply_updates(params, updates)\n",
-    "\n",
-    "    # save history\n",
-    "    objective_history.append(value)\n",
-    "    param_history.append(params)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "id": "307fac85-849f-46e8-bff5-8eb326e51df5",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-18T00:22:17.550748Z",
-     "iopub.status.busy": "2023-08-18T00:22:17.550579Z",
-     "iopub.status.idle": "2023-08-18T00:22:17.622120Z",
-     "shell.execute_reply": "2023-08-18T00:22:17.621217Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "params_best = param_history[-1]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "4f69997e-65ea-417d-ab63-c0028e169734",
-   "metadata": {},
-   "source": [
-    "We see that our objective has increased steadily from a transmission of 56% to about 95%!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "id": "4dfdc602-8f1d-455d-9fd9-a3b09bca3554",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-18T00:22:17.625383Z",
-     "iopub.status.busy": "2023-08-18T00:22:17.625140Z",
-     "iopub.status.idle": "2023-08-18T00:22:17.744167Z",
-     "shell.execute_reply": "2023-08-18T00:22:17.743617Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ax = plt.plot(objective_history)\n",
-    "plt.xlabel(\"iteration number\")\n",
-    "plt.ylabel(\"objective function\")\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b39dc94f-4695-4d1f-b0e3-afdacbd9ecc7",
-   "metadata": {},
-   "source": [
-    "Our final device displays smooth features and no sharp corners. Without our penalty this would have not been the case!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "id": "bdfc8ca2-95f5-430e-9ac4-6e029a953562",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-18T00:22:17.746313Z",
-     "iopub.status.busy": "2023-08-18T00:22:17.746143Z",
-     "iopub.status.idle": "2023-08-18T00:22:18.036595Z",
-     "shell.execute_reply": "2023-08-18T00:22:18.036092Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sim_best = make_sim_params(param_history[-1], include_field_mnt=True)\n",
-    "ax = sim_best.plot(z=0.01)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "id": "841a07a1-0a3b-47ce-b08c-a82495c1f04d",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-18T00:22:18.038440Z",
-     "iopub.status.busy": "2023-08-18T00:22:18.038271Z",
-     "iopub.status.idle": "2023-08-18T00:22:57.133784Z",
-     "shell.execute_reply": "2023-08-18T00:22:57.133191Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
18:49:46 -03 Created task 'taper final' with task_id                            \n",
-       "             'fdve-189329bc-803d-45a7-9385-fe224c400888' and task_type 'FDTD'.  \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m18:49:46 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'taper final'\u001b[0m with task_id                            \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-189329bc-803d-45a7-9385-fe224c400888'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             View task using web UI at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803\n",
-       "             d-45a7-9385-fe224c400888'.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=966487;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=109609;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=966487;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=340334;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=966487;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[32m-189329bc-803\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=966487;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[32md-45a7-9385-fe224c400888'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "62278c69e197452cbf7830896e8d7baf",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
18:49:49 -03 status = queued                                                    \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m18:49:49 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a1077c43dee84975a2b73d0f60e58100",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
18:50:02 -03 status = preprocess                                                \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m18:50:02 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
18:50:06 -03 Maximum FlexCredit cost: 0.025. Use 'web.real_cost(task_id)' to get\n",
-       "             the billed FlexCredit cost after a simulation run.                 \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m18:50:06 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get\n",
-       "\u001b[2;36m             \u001b[0mthe billed FlexCredit cost after a simulation run.                 \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             starting up solver                                                 \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             running solver                                                     \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             To cancel the simulation, use 'web.abort(task_id)' or              \n",
-       "             'web.delete(task_id)' or abort/delete the task in the web UI.      \n",
-       "             Terminating the Python script will not stop the job running on the \n",
-       "             cloud.                                                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
-       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
-       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "93f7f29ece3e49468b9ea77b7e8e957a",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
18:50:13 -03 early shutoff detected at 44%, exiting.                            \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m18:50:13 -03\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m44\u001b[0m%, exiting.                            \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             status = postprocess                                               \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ef8037fe952a4801af22c1f91a73e517",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
18:50:23 -03 status = success                                                   \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m18:50:23 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             View simulation result at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803\n",
-       "             d-45a7-9385-fe224c400888'.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=695283;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=382776;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=695283;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=708613;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=695283;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[4;34m-189329bc-803\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=695283;https://tidy3d.simulation.cloud/workbench?taskId=fdve-189329bc-803d-45a7-9385-fe224c400888\u001b\\\u001b[4;34md-45a7-9385-fe224c400888'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "73214ae75ec14cfb8d0bc30f8dd1ad4f",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
18:50:28 -03 loading simulation from simulation_data.hdf5                       \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m18:50:28 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sim_data_best = td.web.run(sim_best.to_simulation()[0], task_name=\"taper final\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "85af7a2f-00a1-4d64-8cf3-7f34b56e5e4e",
-   "metadata": {},
-   "source": [
-    "Comparing the field patterns, we see that the optimized device gives a much more uniform field profile at the output waveguide, as desired. One can further check that this device and field pattern matches the referenced paper quite nicely!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "id": "969473fb-e7ef-457d-8d65-f55a35e1dfe4",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-18T00:22:57.832369Z",
-     "iopub.status.busy": "2023-08-18T00:22:57.832105Z",
-     "iopub.status.idle": "2023-08-18T00:23:02.189965Z",
-     "shell.execute_reply": "2023-08-18T00:23:02.189442Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, tight_layout=True, figsize=(11, 7))\n",
-    "\n",
-    "# plot original\n",
-    "sim_data.plot_field(field_monitor_name=\"field\", field_name=\"Ez\", val=\"real\", ax=ax1)\n",
-    "sim_data.plot_field(field_monitor_name=\"field\", field_name=\"E\", val=\"abs\", ax=ax2)\n",
-    "\n",
-    "# plot optimized\n",
-    "sim_data_best.plot_field(field_monitor_name=\"field\", field_name=\"Ez\", val=\"real\", ax=ax3)\n",
-    "sim_data_best.plot_field(field_monitor_name=\"field\", field_name=\"E\", val=\"abs\", ax=ax4)\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "id": "f028eb77-cb49-4ca4-8659-e9cd157a8724",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-18T00:23:02.193508Z",
-     "iopub.status.busy": "2023-08-18T00:23:02.193358Z",
-     "iopub.status.idle": "2023-08-18T00:23:02.228195Z",
-     "shell.execute_reply": "2023-08-18T00:23:02.227700Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Transmission improved from 71.90% to 99.48%\n"
-     ]
-    }
-   ],
-   "source": [
-    "transmission_start = float(measure_transmission(sim_data))\n",
-    "transmission_end = float(measure_transmission(sim_data_best))\n",
-    "print(\n",
-    "    f\"Transmission improved from {(transmission_start * 100):.2f}% to {(transmission_end * 100):.2f}%\"\n",
-    ")"
-   ]
-  }
- ],
- "metadata": {
-  "description": "This notebook demonstrates how to perform inverse design optimization of a waveguide taper using boundary gradients in Tidy3D FDTD using the adjoint plugin.",
-  "feature_image": "./img/adjoint_5.png",
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "keywords": "boundary gradients, adjoint optimization, inverse design, Tidy3D, FDTD",
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.7"
-  },
-  "title": "Inverse Design of a Waveguide Taper in Tidy3D Using the Adjoint Plugin | Flexcompute",
-  "widgets": {
-   "application/vnd.jupyter.widget-state+json": {
-    "state": {
-     "02166fa4990b4728b5bef9f75c9c33e3": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_ebeb2d08d21a43ceb8d0f4b4db614296",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🚶  Finishing 'adjoint_taper_adj'...\n
\n",
-          "text/plain": "\u001b[32m🚶 \u001b[0m \u001b[1;32mFinishing 'adjoint_taper_adj'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "028c2e27bff24509ae42239106fcdece": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_89b318f0ee6f44ca97b74ea22e361a1f",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ jax_info.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 174/174 bytes • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34mjax_info.json\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m174/174 bytes\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "0c0cbb3632664b6cb5969aff145938fe": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "15ae482e0e284ab2b0a93cce6f3c654d": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_6bfe5141b2a34599b09fc4749a05cdce",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🚶  Starting 'taper fields'...\n
\n",
-          "text/plain": "\u001b[32m🚶 \u001b[0m \u001b[1;32mStarting 'taper fields'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "1d909878ef224dac8f438f35a8c51751": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "2572ac3c9a6f409099df139caa353951": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_7238bdaff1744e8196b32b4a8978b7a1",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
solver progress (field decay = 0.00e+00) ━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00\n
\n",
-          "text/plain": "solver progress (field decay = 0.00e+00) \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "27a1b18173f04592b64fa75a0eeff4b4": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "2d753d4a4b1845ff8b492aaf41044a4e": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_c306e3b2c5e04a1c9b3da62e836b0863",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ jax_info.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 174/174 bytes • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34mjax_info.json\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m174/174 bytes\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "2e345efb7a5846dca40eadffda4493b5": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "33497aba844c4c569b0af924f6d244ea": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_6f9dfdc129df4bc29753f91bda50ab4e",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🏃  Finishing 'taper fields'...\n
\n",
-          "text/plain": "\u001b[32m🏃 \u001b[0m \u001b[1;32mFinishing 'taper fields'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "4fa7cb073e8140d191240554892b791e": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "5da3303bce494fcbafcb317608ee529a": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "635ec4de2ca64fa18401065bf4b30463": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "6bfe5141b2a34599b09fc4749a05cdce": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "6ea2d9dbc98541f490f48d2b93c00ff0": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_635ec4de2ca64fa18401065bf4b30463",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🚶  Starting 'adjoint_taper'...\n
\n",
-          "text/plain": "\u001b[32m🚶 \u001b[0m \u001b[1;32mStarting 'adjoint_taper'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "6f9dfdc129df4bc29753f91bda50ab4e": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "7238bdaff1744e8196b32b4a8978b7a1": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "7d650aceb47f4289b05bdd2979ac1e20": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_4fa7cb073e8140d191240554892b791e",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━ 100.0% • 15.1/15.1 MB • 41.9 MB/s • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m15.1/15.1 MB\u001b[0m • \u001b[31m41.9 MB/s\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "7f7a52f041a84753921d384290a3d871": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "80eac17854a94503b329d893d740e040": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_b469968df1b540379d261de9cd4c71a3",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🏃  Starting 'adjoint_taper_adj'...\n
\n",
-          "text/plain": "\u001b[32m🏃 \u001b[0m \u001b[1;32mStarting 'adjoint_taper_adj'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "83d8ad8a95ea45349606ecd0962787e8": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_9eae4d69a4ce413287e18bf7b1e7517f",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━ 100.0% • 15.1/15.1 MB • 13.6 MB/s • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m15.1/15.1 MB\u001b[0m • \u001b[31m13.6 MB/s\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "857da452c4fb46d389bf33ed945ea4f8": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "89b318f0ee6f44ca97b74ea22e361a1f": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "8aee04db7c884e77a99fa91d04f88381": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_27a1b18173f04592b64fa75a0eeff4b4",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
solver progress (field decay = 0.00e+00) ━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00\n
\n",
-          "text/plain": "solver progress (field decay = 0.00e+00) \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "8efdfde4f4474d6695c53b76cfc9d228": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_0c0cbb3632664b6cb5969aff145938fe",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
solver progress (field decay = 0.00e+00) ━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00\n
\n",
-          "text/plain": "solver progress (field decay = 0.00e+00) \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "917bb97f4e284e06bd0dd9c337c8b312": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "940878e02881474cbd7c95ec134854fb": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_bf56fd0661514c15923ff87120635d39",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🏃  Starting 'taper final'...\n
\n",
-          "text/plain": "\u001b[32m🏃 \u001b[0m \u001b[1;32mStarting 'taper final'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "9b8ce2d22bdc46c3a32630fd07534078": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_5da3303bce494fcbafcb317608ee529a",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🚶  Finishing 'taper final'...\n
\n",
-          "text/plain": "\u001b[32m🚶 \u001b[0m \u001b[1;32mFinishing 'taper final'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "9d328cb5eb394bc397a917817bf9d5b8": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_9e691928d62a4bef8ede38393b5ff98a",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ simulation.hdf5.gz ━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 3.8/3.8 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m3.8/3.8 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "9e691928d62a4bef8ede38393b5ff98a": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "9eae4d69a4ce413287e18bf7b1e7517f": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "a45a72bdc08f429689efa52e0435e251": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_917bb97f4e284e06bd0dd9c337c8b312",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ simulation.hdf5.gz ━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 3.8/3.8 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m3.8/3.8 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "b469968df1b540379d261de9cd4c71a3": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "b593f145d05a4dcd967613ebd0d9b1cf": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_ebd9dfdea74e49fabfd92488955ea075",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 55.7/55.7 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m55.7/55.7 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "bf56fd0661514c15923ff87120635d39": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "c306e3b2c5e04a1c9b3da62e836b0863": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "c4b97b447fbd48a589f7ba5f92106f87": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_d1009632eceb486ca076c67e15d35a35",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🚶  Finishing 'adjoint_taper'...\n
\n",
-          "text/plain": "\u001b[32m🚶 \u001b[0m \u001b[1;32mFinishing 'adjoint_taper'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "c6cf6b5ca4384a55ac5ac392ec4250fe": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_857da452c4fb46d389bf33ed945ea4f8",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
solver progress (field decay = 0.00e+00) ━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00\n
\n",
-          "text/plain": "solver progress (field decay = 0.00e+00) \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "d06d9943f6a24e10954e5c733c1b7fd4": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_2e345efb7a5846dca40eadffda4493b5",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ simulation.hdf5.gz ━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 3.8/3.8 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m3.8/3.8 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "d1009632eceb486ca076c67e15d35a35": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "e376a357828c4909806b385bcba42e2b": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_7f7a52f041a84753921d384290a3d871",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↓ jax_sim_vjp.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 15.5/15.5 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mjax_sim_vjp.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m15.5/15.5 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "ebd9dfdea74e49fabfd92488955ea075": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "ebeb2d08d21a43ceb8d0f4b4db614296": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "fc70e7f5009843198b312be1a9bb9d11": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_1d909878ef224dac8f438f35a8c51751",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ simulation.hdf5.gz ━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 3.8/3.8 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m3.8/3.8 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     }
-    },
-    "version_major": 2,
-    "version_minor": 0
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/AdjointPlugin6GratingCoupler.ipynb b/AdjointPlugin6GratingCoupler.ipynb
deleted file mode 100644
index 26eb3bf5..00000000
--- a/AdjointPlugin6GratingCoupler.ipynb
+++ /dev/null
@@ -1,1674 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Inverse design optimization of a compact grating coupler\n",
-    "\n",
-    "> Note: Tidy3D now supports automatic differentiation natively through `autograd`. The `jax`-based `adjoint` plugin will be deprecated from 2.7 onwards. To see this notebook implemented in the new feature, see [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd6GratingCoupler/).\n",
-    "\n",
-    "> To install the `jax` module required for this feature, we recommend running `pip install \"tidy3d[jax]\"`.\n",
-    "\n",
-    "**This notebook contains a long optimization. Running the entire notebook will cost about 10 FlexCredits and take a few hours.**\n",
-    "\n",
-    "The ability to couple light in and out of photonic integrated circuits (PICs) is crucial for developing wafer-scale systems and tests. This need makes designing efficient and compact grating couplers an important task in the PIC development cycle. In this notebook, we will demonstrate how to use [Tidy3D's adjoint plugin](../notebooks/AdjointPlugin1Intro.html) to perform the inverse design of a compact 3D grating coupler. We will show how to improve design fabricability by enhancing permittivity binarization and controlling the device's minimum feature size.\n",
-    "\n",
-    "\"Schematic\n",
-    "\n",
-    "In addition, if you are interested in more conventional designs, we modeled an [uniform grating coupler](https://www.flexcompute.com/tidy3d/examples/notebooks/GratingCoupler/) and a [Focusing apodized grating coupler](https://www.flexcompute.com/tidy3d/examples/notebooks/FocusedApodGC/) in previous case studies. For more integrated photonic examples, please visit our [examples page](https://www.flexcompute.com/tidy3d/examples/). If you are new to the finite-difference time-domain (FDTD) method, we highly recommend going through our [FDTD101](https://www.flexcompute.com/fdtd101/) tutorials. FDTD simulations can diverge due to various reasons. If you run into any simulation divergence issues, please follow the steps outlined in our [troubleshooting guide](https://www.flexcompute.com/tidy3d/examples/notebooks/DivergedFDTDSimulation/) to resolve it.\n",
-    "\n",
-    "We start by importing our typical python packages, `jax`, `tidy3d` and its `adjoint` plugin."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Standard python imports.\n",
-    "import json\n",
-    "import os\n",
-    "from typing import Callable, List\n",
-    "\n",
-    "# Import jax to be able to use automatic differentiation.\n",
-    "import jax.numpy as jnp\n",
-    "import jax.scipy as jsp\n",
-    "import matplotlib.pylab as plt\n",
-    "import numpy as np\n",
-    "import pydantic as pd\n",
-    "import scipy as sp\n",
-    "\n",
-    "# Import regular tidy3d.\n",
-    "import tidy3d as td\n",
-    "import tidy3d.web as web\n",
-    "from jax import value_and_grad\n",
-    "\n",
-    "# Import the components we need from the adjoint plugin.\n",
-    "from tidy3d.plugins.adjoint import (\n",
-    "    JaxBox,\n",
-    "    JaxCustomMedium,\n",
-    "    JaxDataArray,\n",
-    "    JaxPermittivityDataset,\n",
-    "    JaxSimulation,\n",
-    "    JaxSimulationData,\n",
-    "    JaxStructure,\n",
-    ")\n",
-    "from tidy3d.plugins.adjoint.utils.penalty import ErosionDilationPenalty\n",
-    "from tidy3d.plugins.adjoint.web import run"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Grating Coupler Inverse Design Configuration\n",
-    "\n",
-    "The grating coupler inverse design begins with a rectangular design region connected to a $Si$ waveguide. Throughout the optimization process, this initial structure evolves to convert a vertically incident Gaussian-like mode from an optical fiber into a guided mode and then funnel it into the $Si$ waveguide.\n",
-    "\n",
-    "We are considering a full-etched grating structure, so a $SiO_{2}$ BOX layer is included. To reduce backreflection, we adjusted the fiber tilt angle to $10^{\\circ}$ [[1](https://doi.org/10.1364/OE.23.022628), [2](https://doi.org/10.3390/mi11070666)].\n",
-    "\n",
-    "In the following block of code, you can find the parameters that can be modified to configure the grating coupler structure, optimization, and simulation setup. Special care should be devoted to the `it_per_step` and `opt_steps` variables below."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Geometric parameters.\n",
-    "w_thick = 0.22  # Waveguide thickness (um).\n",
-    "w_width = 0.5  # Waveguide width (um).\n",
-    "w_length = 1.0  # Waveguide length (um).\n",
-    "box_thick = 1.6  # SiO2 BOX thickness (um).\n",
-    "spot_size = 2.5  # Spot size of the input Gaussian field regarding a lensed fiber (um).\n",
-    "fiber_tilt = 10.0  # Fiber tilt angle (degrees).\n",
-    "src_offset = 0.05  # Distance between the source focus and device (um).\n",
-    "\n",
-    "# Material.\n",
-    "nSi = 3.48  # Silicon refractive index.\n",
-    "nSiO2 = 1.44  # Silica refractive index.\n",
-    "\n",
-    "# Design region parameters.\n",
-    "gc_width = 4.0  # Grating coupler width (um).\n",
-    "gc_length = 4.0  # Grating coupler length (um).\n",
-    "dr_grid_size = 0.02  # Grid size within the design region (um).\n",
-    "\n",
-    "# Inverse design set up parameters.\n",
-    "#################################################################\n",
-    "# Total number of iterations = opt_steps x it_per_step.\n",
-    "it_per_step = 1  # Number of iterations per optimization step.\n",
-    "opt_steps = 75  # Number of optimization steps.\n",
-    "#################################################################\n",
-    "eta = 0.50  # Threshold value for the projection filter.\n",
-    "fom_name = \"fom_field\"  # Name of the monitor used to compute the objective function.\n",
-    "\n",
-    "# Simulation wavelength.\n",
-    "wl = 1.55  # Central simulation wavelength (um).\n",
-    "bw = 0.06  # Simulation bandwidth (um).\n",
-    "n_wl = 61  # Number of wavelength points within the bandwidth.\n",
-    "\n",
-    "# feature size\n",
-    "min_feature_size = 0.080\n",
-    "filter_radius = min_feature_size\n",
-    "\n",
-    "# Buffer layer thickness\n",
-    "border_buffer = 0.16\n",
-    "\n",
-    "# projection\n",
-    "beta_min = 1.0\n",
-    "beta_max = 30.0"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Total iterations = 75\n"
-     ]
-    }
-   ],
-   "source": [
-    "total_iter = opt_steps * it_per_step\n",
-    "print(f\"Total iterations = {total_iter}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Inverse Design Optimization Set Up\n",
-    "\n",
-    "We will calculate the values of some parameters used throughout the inverse design set up."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Minimum and maximum values for the permittivities.\n",
-    "eps_max = nSi**2\n",
-    "eps_min = 1.0\n",
-    "\n",
-    "# Material definitions.\n",
-    "mat_si = td.Medium(permittivity=eps_max)  # Waveguide material.\n",
-    "mat_sio2 = td.Medium(permittivity=nSiO2**2)  # Substrate material.\n",
-    "\n",
-    "# Wavelengths and frequencies.\n",
-    "wl_max = wl + bw / 2\n",
-    "wl_min = wl - bw / 2\n",
-    "wl_range = np.linspace(wl_min, wl_max, n_wl)\n",
-    "freq = td.C_0 / wl\n",
-    "freqs = td.C_0 / wl_range\n",
-    "freqw = 0.5 * (freqs[0] - freqs[-1])\n",
-    "run_time = 5e-12\n",
-    "\n",
-    "# Computational domain size.\n",
-    "pml_spacing = 0.6 * wl\n",
-    "size_x = pml_spacing + w_length + gc_length + 2 * border_buffer\n",
-    "size_y = gc_width + 2 * pml_spacing + 2 * border_buffer\n",
-    "size_z = w_thick + box_thick + 2 * pml_spacing\n",
-    "center_z = size_z / 2 - pml_spacing - w_thick / 2\n",
-    "eff_inf = 1000\n",
-    "\n",
-    "# Inverse design variables.\n",
-    "src_pos_z = w_thick / 2 + src_offset\n",
-    "mon_pos_x = -size_x / 2 + 0.25 * wl\n",
-    "mon_w = int(3 * w_width / dr_grid_size) * dr_grid_size\n",
-    "mon_h = int(5 * w_thick / dr_grid_size) * dr_grid_size\n",
-    "nx = int((gc_length + 2 * border_buffer) / dr_grid_size)\n",
-    "ny = int((gc_width + 2 * border_buffer) / dr_grid_size / 2.0)\n",
-    "npar = int(nx * ny)\n",
-    "dr_size_x = nx * dr_grid_size\n",
-    "dr_size_y = 2 * ny * dr_grid_size\n",
-    "dr_center_x = -size_x / 2 + w_length + dr_size_x / 2\n",
-    "n_border = int(border_buffer / dr_grid_size)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "First, we will introduce the simulation components that do not change during optimization, such as the $Si$ waveguide and $SiO_{2}$ BOX layer. Additionally, we will include a Gaussian source to drive the simulations, and a mode monitor to compute the objective function."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Input/output waveguide.\n",
-    "waveguide = td.Structure(\n",
-    "    geometry=td.Box.from_bounds(\n",
-    "        rmin=(-eff_inf, -w_width / 2, -w_thick / 2),\n",
-    "        rmax=(-size_x / 2 + w_length, w_width / 2, w_thick / 2),\n",
-    "    ),\n",
-    "    medium=mat_si,\n",
-    ")\n",
-    "\n",
-    "# SiO2 BOX layer.\n",
-    "sio2_substrate = td.Structure(\n",
-    "    geometry=td.Box.from_bounds(\n",
-    "        rmin=(-eff_inf, -eff_inf, -w_thick / 2 - box_thick),\n",
-    "        rmax=(eff_inf, eff_inf, -w_thick / 2),\n",
-    "    ),\n",
-    "    medium=mat_sio2,\n",
-    ")\n",
-    "\n",
-    "# Si substrate.\n",
-    "si_substrate = td.Structure(\n",
-    "    geometry=td.Box.from_bounds(\n",
-    "        rmin=(-eff_inf, -eff_inf, -eff_inf),\n",
-    "        rmax=(eff_inf, eff_inf, -w_thick / 2 - box_thick),\n",
-    "    ),\n",
-    "    medium=mat_si,\n",
-    ")\n",
-    "\n",
-    "# Gaussian source focused above the grating coupler.\n",
-    "gauss_source = td.GaussianBeam(\n",
-    "    center=(dr_center_x, 0, src_pos_z),\n",
-    "    size=(dr_size_x - 2 * border_buffer, dr_size_y - 2 * border_buffer, 0),\n",
-    "    source_time=td.GaussianPulse(freq0=freq, fwidth=freqw),\n",
-    "    pol_angle=np.pi / 2,\n",
-    "    angle_theta=fiber_tilt * np.pi / 180.0,\n",
-    "    direction=\"-\",\n",
-    "    num_freqs=7,\n",
-    "    waist_radius=spot_size / 2,\n",
-    ")\n",
-    "\n",
-    "# Monitor where we will compute the objective function from.\n",
-    "mode_spec = td.ModeSpec(num_modes=1, target_neff=nSi)\n",
-    "fom_monitor = td.ModeMonitor(\n",
-    "    center=[mon_pos_x, 0, 0],\n",
-    "    size=[0, mon_w, mon_h],\n",
-    "    freqs=[freq],\n",
-    "    mode_spec=mode_spec,\n",
-    "    name=fom_name,\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now, we will define a random vector of initial design parameters or load a previously designed structure.\n",
-    "\n",
-    "> Note: if a previous optimization file is found, the optimizer will pick up where that left off instead."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "init_par = np.random.uniform(0, 1, int(npar))\n",
-    "init_par = sp.ndimage.gaussian_filter(init_par, 1)\n",
-    "init_par = init_par.reshape((nx, ny))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Fabrication Constraints\n",
-    "\n",
-    "We will use `jax` to build functions that improve device fabricability. A classical conic density filter, which is popular in topology optimization problems, is used to enforce a minimum feature size specified by the `filter_radius` variable. Next, a hyperbolic tangent projection function is applied to eliminate grayscale and obtain a binarized permittivity pattern. The `beta` parameter controls the sharpness of the transition in the projection function, and for better results, this parameter should be gradually increased throughout the optimization process. Finally, the design parameters are transformed into permittivity values. For a detailed review of these methods, refer to [[3](https://doi.org/10.1007/s00419-015-1106-4)].\n",
-    "\n",
-    "We will also introduce a buffer layer around the design region to enhance fabricability at the interfaces. The permittivity is enforced to lower values within the buffer layer, except at the output waveguide connection where we want a smooth transition."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from tidy3d.plugins.adjoint.utils.filter import BinaryProjector, ConicFilter\n",
-    "\n",
-    "conic_filter = ConicFilter(radius=filter_radius, design_region_dl=dr_grid_size)\n",
-    "\n",
-    "\n",
-    "def tanh_projection(x, beta, eta=0.5):\n",
-    "    tanhbn = jnp.tanh(beta * eta)\n",
-    "    num = tanhbn + jnp.tanh(beta * (x - eta))\n",
-    "    den = tanhbn + jnp.tanh(beta * (1 - eta))\n",
-    "    return num / den\n",
-    "\n",
-    "\n",
-    "def filter_project(x, beta, eta=0.5):\n",
-    "    x = conic_filter.evaluate(x)\n",
-    "    return tanh_projection(x, beta=beta, eta=eta)\n",
-    "\n",
-    "\n",
-    "def interface_buffer(params):\n",
-    "    \"\"\"Introduce a buffer around design to enhance fabricability at the interfaces.\"\"\"\n",
-    "    par = jnp.asarray(params)\n",
-    "    par = par.at[0:n_border, :].set(0)\n",
-    "    par = par.at[nx - n_border :, :].set(0)\n",
-    "    par = par.at[:, ny - n_border :].set(0)\n",
-    "    par = par.at[0:n_border, 0 : int((w_width / 2) / dr_grid_size) + 1].set(1)\n",
-    "    return par\n",
-    "\n",
-    "\n",
-    "def pre_process(params, beta):\n",
-    "    \"\"\"Get the permittivity values (1, eps_wg) array as a function of the parameters (0,1)\"\"\"\n",
-    "    params1 = interface_buffer(params)\n",
-    "    params2 = filter_project(params1, beta=beta)\n",
-    "    params3 = filter_project(params2, beta=beta)\n",
-    "    return params3\n",
-    "\n",
-    "\n",
-    "def get_eps_values(params, beta):\n",
-    "    params = pre_process(params, beta=beta)\n",
-    "    eps_values = eps_min + (eps_max - eps_min) * params\n",
-    "    return eps_values"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def get_eps(design_param, beta: float = 1.00, binarize: bool = False) -> np.ndarray:\n",
-    "    \"\"\"Returns the permittivities after applying a conic density filter on design parameters\n",
-    "    to enforce fabrication constraints, followed by a binarization projection function\n",
-    "    which reduces grayscale.\n",
-    "    Parameters:\n",
-    "        design_param: np.ndarray\n",
-    "            Vector of design parameters.\n",
-    "        beta: float = 1.0\n",
-    "            Sharpness parameter for the projection filter.\n",
-    "        binarize: bool = False\n",
-    "            Enforce binarization.\n",
-    "    Returns:\n",
-    "        eps: np.ndarray\n",
-    "            Permittivity vector.\n",
-    "    \"\"\"\n",
-    "\n",
-    "    # Calculates the permittivities from the transformed design parameters.\n",
-    "    eps = get_eps_values(design_param, beta=beta)\n",
-    "    if binarize:\n",
-    "        eps = jnp.where(eps < (eps_min + eps_max) / 2, eps_min, eps_max)\n",
-    "    else:\n",
-    "        eps = jnp.where(eps < eps_min, eps_min, eps)\n",
-    "        eps = jnp.where(eps > eps_max, eps_max, eps)\n",
-    "    return eps"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The permittivity values obtained from the design parameters are then used to build a [JaxCustomMedium](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.adjoint.JaxCustomMedium.html). As we will consider symmetry about the x-axis in the simulations, only the upper-half part of the design region needs to be populated. A `JaxStructure` built using the `JaxCustomMedium` will be returned by the following function: "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def update_design(eps, unfold: bool = False) -> List[JaxStructure]:\n",
-    "    # Reflects the structure about the x-axis.\n",
-    "    nyii = ny\n",
-    "    y_min = 0\n",
-    "    dr_s_y = dr_size_y / 2\n",
-    "    dr_c_y = dr_s_y / 2\n",
-    "    eps_val = jnp.array(eps).reshape((nx, ny, 1, 1))\n",
-    "    if unfold:\n",
-    "        nyii = 2 * ny\n",
-    "        y_min = -dr_size_y / 2\n",
-    "        dr_s_y = dr_size_y\n",
-    "        dr_c_y = 0\n",
-    "        eps_val = np.concatenate((np.fliplr(np.copy(eps_val)), eps_val), axis=1)\n",
-    "\n",
-    "    # Definition of the coordinates x,y along the design region.\n",
-    "    coords_x = [(dr_center_x - dr_size_x / 2) + ix * dr_grid_size for ix in range(nx)]\n",
-    "    coords_y = [y_min + iy * dr_grid_size for iy in range(nyii)]\n",
-    "    coords = dict(x=coords_x, y=coords_y, z=[0], f=[freq])\n",
-    "\n",
-    "    # Creation of a custom medium using the values of the design parameters.\n",
-    "    eps_components = {\n",
-    "        f\"eps_{dim}{dim}\": JaxDataArray(values=eps_val, coords=coords) for dim in \"xyz\"\n",
-    "    }\n",
-    "    eps_dataset = JaxPermittivityDataset(**eps_components)\n",
-    "    eps_medium = JaxCustomMedium(eps_dataset=eps_dataset)\n",
-    "    box = JaxBox(center=(dr_center_x, dr_c_y, 0), size=(dr_size_x, dr_s_y, w_thick))\n",
-    "    design_structure = JaxStructure(geometry=box, medium=eps_medium)\n",
-    "    return [design_structure]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Next, we will write a function to return the `JaxSimulation` object. Note that we are using a `MeshOverrideStructure` to obtain a uniform mesh over the design region."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def make_adjoint_sim(\n",
-    "    design_param, beta: float = 1.00, unfold: bool = False, binarize: bool = False\n",
-    ") -> JaxSimulation:\n",
-    "    # Builds the design region from the design parameters.\n",
-    "    eps = get_eps(design_param, beta, binarize)\n",
-    "    design_structure = update_design(eps, unfold=unfold)\n",
-    "\n",
-    "    # Creates a uniform mesh for the design region.\n",
-    "    adjoint_dr_mesh = td.MeshOverrideStructure(\n",
-    "        geometry=td.Box(center=(dr_center_x, 0, 0), size=(dr_size_x, dr_size_y, w_thick)),\n",
-    "        dl=[dr_grid_size, dr_grid_size, dr_grid_size],\n",
-    "        enforce=True,\n",
-    "    )\n",
-    "\n",
-    "    return JaxSimulation(\n",
-    "        size=[size_x, size_y, size_z],\n",
-    "        center=[0, 0, -center_z],\n",
-    "        grid_spec=td.GridSpec.auto(\n",
-    "            wavelength=wl_max,\n",
-    "            min_steps_per_wvl=15,\n",
-    "            override_structures=[adjoint_dr_mesh],\n",
-    "        ),\n",
-    "        symmetry=(0, -1, 0),\n",
-    "        structures=[waveguide, sio2_substrate, si_substrate],\n",
-    "        input_structures=design_structure,\n",
-    "        sources=[gauss_source],\n",
-    "        monitors=[],\n",
-    "        output_monitors=[fom_monitor],\n",
-    "        run_time=run_time,\n",
-    "        subpixel=True,\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's visualize the simulation set up and verify if all the elements are in their correct places."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "init_design = make_adjoint_sim(init_par, beta=beta_min)\n",
-    "\n",
-    "fig, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(10, 10))\n",
-    "init_design.plot_eps(z=0, ax=ax1)\n",
-    "init_design.plot_eps(y=0, ax=ax2)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Optimization\n",
-    "\n",
-    "We need to provide an objective function and its gradients with respect to the design parameters of the optimization algorithm.\n",
-    "\n",
-    "Our figure-of-merit (FOM) is the coupling efficiency of the incident power into the fundamental transverse electric mode of the $Si$ waveguide. The optimization algorithm will call the objective function at each iteration step. Therefore, the objective function will create the adjoint simulation, run it, and return the FOM value."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Figure of Merit (FOM) calculation.\n",
-    "def fom(sim_data: JaxSimulationData) -> float:\n",
-    "    \"\"\"Return the power at the mode index of interest.\"\"\"\n",
-    "    output_amps = sim_data.output_data[0].amps\n",
-    "    amp = output_amps.sel(direction=\"-\", f=freq, mode_index=0)\n",
-    "    return jnp.sum(jnp.abs(amp) ** 2)\n",
-    "\n",
-    "\n",
-    "def penalty(params, beta) -> float:\n",
-    "    \"\"\"Penalty function based on amount of change in parameters after erosion and dilation.\"\"\"\n",
-    "    params_processed = pre_process(params, beta=beta)\n",
-    "    ed_penalty = ErosionDilationPenalty(length_scale=filter_radius, pixel_size=dr_grid_size)\n",
-    "    return ed_penalty.evaluate(params_processed)\n",
-    "\n",
-    "\n",
-    "# Objective function to be passed to the optimization algorithm.\n",
-    "def obj(design_param, beta: float = 1.0, step_num: int = None, verbose: bool = False) -> float:\n",
-    "    sim = make_adjoint_sim(design_param, beta)\n",
-    "    task_name = \"inv_des\"\n",
-    "    if step_num:\n",
-    "        task_name += f\"_step_{step_num}\"\n",
-    "    sim_data = run(sim, task_name=task_name, verbose=verbose)\n",
-    "    fom_val = fom(sim_data)\n",
-    "    feature_size_penalty = penalty(design_param, beta=beta)\n",
-    "    J = fom_val - feature_size_penalty\n",
-    "    return J, sim_data\n",
-    "\n",
-    "\n",
-    "# Function to calculate the objective function value and its\n",
-    "# gradient with respect to the design parameters.\n",
-    "obj_grad = value_and_grad(obj, has_aux=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Next we will define the optimizer using `optax`. We will save the optimization progress in a `pickle` file. If that file is found, it will pick up the optimization from the last state. Otherwise, we will create a blank history."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "import pickle\n",
-    "\n",
-    "import optax\n",
-    "\n",
-    "# hyperparameters\n",
-    "learning_rate = 0.3\n",
-    "optimizer = optax.adam(learning_rate=learning_rate)\n",
-    "\n",
-    "# where to store history\n",
-    "history_fname = \"misc/grating_coupler_history.pkl\"\n",
-    "\n",
-    "\n",
-    "def save_history(history_dict: dict) -> None:\n",
-    "    \"\"\"Convenience function to save the history to file.\"\"\"\n",
-    "    with open(history_fname, \"wb\") as file:\n",
-    "        pickle.dump(history_dict, file)\n",
-    "\n",
-    "\n",
-    "def load_history() -> dict:\n",
-    "    \"\"\"Convenience method to load the history from file.\"\"\"\n",
-    "    with open(history_fname, \"rb\") as file:\n",
-    "        history_dict = pickle.load(file)\n",
-    "    return history_dict"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### Checking For a Previous Optimization\n",
-    "\n",
-    "If `history_fname` is a valid file, the results of a previous optimization are loaded, then the optimization will continue from the last iteration step. If the optimization was completed, only the final structure will be simulated. The pickle file used in this notebook can be downloaded from our documentation [repo](https://github.com/flexcompute/tidy3d-notebooks/tree/develop/misc)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Loaded optimization checkpoint from file.\n",
-      "Found 75 iterations previously completed out of 75 total.\n",
-      "Optimization completed, will return results.\n"
-     ]
-    }
-   ],
-   "source": [
-    "try:\n",
-    "    history_dict = load_history()\n",
-    "    opt_state = history_dict[\"opt_states\"][-1]\n",
-    "    params = history_dict[\"params\"][-1]\n",
-    "    num_iters_completed = len(history_dict[\"params\"])\n",
-    "    print(\"Loaded optimization checkpoint from file.\")\n",
-    "    print(f\"Found {num_iters_completed} iterations previously completed out of {total_iter} total.\")\n",
-    "    if num_iters_completed < total_iter:\n",
-    "        print(\"Will resume optimization.\")\n",
-    "    else:\n",
-    "        print(\"Optimization completed, will return results.\")\n",
-    "\n",
-    "except FileNotFoundError:\n",
-    "    params = np.array(init_par)\n",
-    "    opt_state = optimizer.init(params)\n",
-    "    history_dict = dict(\n",
-    "        values=[],\n",
-    "        params=[],\n",
-    "        gradients=[],\n",
-    "        opt_states=[opt_state],\n",
-    "        data=[],\n",
-    "        beta=[],\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "iter_done = len(history_dict[\"values\"])\n",
-    "\n",
-    "for i in range(iter_done, total_iter):\n",
-    "    print(f\"iteration = ({i + 1} / {total_iter})\")\n",
-    "\n",
-    "    # compute gradient and current objective function value\n",
-    "    perc_done = i / (total_iter - 1)\n",
-    "    beta_i = beta_min * (1 - perc_done) + beta_max * perc_done\n",
-    "    (value, sim_data_i), gradient = obj_grad(params, beta=beta_i)\n",
-    "\n",
-    "    # outputs\n",
-    "    print(f\"\\tbeta = {beta_i}\")\n",
-    "    print(f\"\\tJ = {value:.4e}\")\n",
-    "    print(f\"\\tgrad_norm = {np.linalg.norm(gradient):.4e}\")\n",
-    "\n",
-    "    # compute and apply updates to the optimizer based on gradient (-1 sign to maximize obj_fn)\n",
-    "    updates, opt_state = optimizer.update(-gradient, opt_state, params)\n",
-    "    params = optax.apply_updates(params, updates)\n",
-    "\n",
-    "    # cap parameters between 0 and 1\n",
-    "    params = jnp.minimum(params, 1.0)\n",
-    "    params = jnp.maximum(params, 0.0)\n",
-    "\n",
-    "    # save history\n",
-    "    history_dict[\"values\"].append(value)\n",
-    "    history_dict[\"params\"].append(params)\n",
-    "    history_dict[\"beta\"].append(beta_i)\n",
-    "    history_dict[\"gradients\"].append(gradient)\n",
-    "    history_dict[\"opt_states\"].append(opt_state)\n",
-    "    # history_dict[\"data\"].append(sim_data_i) # uncomment to store data, can create large files\n",
-    "    save_history(history_dict)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Optimization Results\n",
-    "\n",
-    "After 150 iterations, a coupling efficiency value of 0.71 (-1.48 dB) was achieved at the central wavelength."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "obj_vals = np.array(history_dict[\"values\"])\n",
-    "final_par = history_dict[\"params\"][-1]\n",
-    "final_beta = history_dict[\"beta\"][-1]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, ax = plt.subplots(1, 1, figsize=(6, 4))\n",
-    "ax.plot(obj_vals, \"ro\")\n",
-    "ax.set_xlabel(\"iterations\")\n",
-    "ax.set_ylabel(\"objective function\")\n",
-    "ax.set_ylim(-1, 1)\n",
-    "ax.set_title(f\"Final Objective Function Value: {obj_vals[-1]:.2f}\")\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The final grating coupler structure is well binarized, with mostly black (`eps_max`) and white (`eps_min`) regions."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAasAAAFrCAYAAABv+abZAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAABmO0lEQVR4nO2deXwUVdb3f7eqekk66SQkYRNkl30bxAUXZGRURIVxcB1H1AFckHkQXxXUAZdRRp1xGVEUUXBU3GYEfXDFFZdRkWUeQBAElH0JJt1Jd3qpqvv+0XSTTqqTru6qXlLn+/m0kuqqe091Vd1f3XvPPYdxzjkIgiAIIocRsm0AQRAEQbQEiRVBEASR85BYEQRBEDkPiRVBEASR85BYEQRBEDkPiRVBEASR85BYEQRBEDkPiRVBEASR85BYEQRBEDkPiRVhGT799FMwxvDpp59m2xSCIHRCYkW0Op588kksXrw422akxJIlS/Doo49m2wwAgKqqePDBB9GtWzc4nU4MGjQIL7/8ctLH19TUYMqUKaisrITL5cKoUaOwZs0azX3feust/OpXv4LT6cSxxx6LOXPmQJZlo06FaA1wgmhl9O/fn48cObLJdkVReH19PVcUJfNGJcnYsWN5ly5dsm0G55zzmTNncgB88uTJfMGCBXzs2LEcAH/55ZdbPFZRFD5ixAjucrn4XXfdxefNm8f79evHi4uL+ZYtW+L2feeddzhjjI8aNYovWLCAT5s2jQuCwK+77jqzTo3IQ0isWil1dXXZNiFrJBKrfCBXxGr37t3cZrPxqVOnxrapqspPO+003qlTJy7LcrPHv/rqqxwAf/3112PbDh48yEtLS/lll10Wt2+/fv344MGDeTgcjm274447OGOMb9q0yaAzIvIdEqs8YPfu3fyaa67hHTp04Ha7nXft2pVfd911PBgMcs45X7RoEQfAP/30U3799dfzyspKXlpaGjv+iSee4P369eN2u5136NCB33DDDby6ujquji1btvALL7yQt2vXjjscDn7MMcfwSy65hNfU1MT2+eCDD/gpp5zCS0pKuMvl4scddxyfNWtWi/Ync1wgEOCzZ8/mPXr04Ha7nXfq1InfcsstPBAINCnvhRde4MOHD+cFBQW8tLSUn3baafz999/nnHPepUsXDiDuExWuTz75hAPgn3zySVx5r732Gv/Vr37FnU4nLy8v57///e/57t274/aZOHEid7lcfPfu3XzcuHHc5XLxiooKfvPNN7fYcHPO+bJly/i5554bu4bdu3fn99xzT9yxI0eObGJ7c8I1ceLEJvtHP3PmzGnRpuZ44oknOAC+cePGuO1LlizhAPjnn3/e7PEXXXQRb9euXZNe7JQpU3hhYWHsum7cuJED4E888UTcfnv27OEA+L333pvWeRCtBymDI45ECuzduxcnnHBCbPy/T58+2LNnD/71r3/B7/fDbrfH9r3hhhtQWVmJ2bNnw+fzAQDuuusu3H333Rg9ejSuv/56/PDDD5g/fz5WrVqFL7/8EjabDaFQCGeffTaCwSCmTZuG9u3bY8+ePVi+fDlqampQUlKCjRs34rzzzsOgQYNwzz33wOFw4Mcff8SXX37ZrP3JHKeqKi644AJ88cUXmDJlCvr27Yv169fjkUcewZYtW7Bs2bLYvnfffTfuuusujBgxAvfccw/sdju++eYbfPzxxzjrrLPw6KOPYtq0aSgqKsIdd9wBAGjXrl1C+xYvXoyrr74aw4cPx9y5c3HgwAE89thj+PLLL7F27VqUlpbG9lUUBWeffTZOPPFE/O1vf8OHH36Iv//97+jRoweuv/76Zn+HxYsXo6ioCDNmzEBRURE+/vhjzJ49G16vFw899BAA4I477oDH48Hu3bvxyCOPAACKiooSlnnttddi9OjRcdvee+89vPTSS2jbtm1sW1VVVbO2RSkuLobD4QAArF27Fi6XC3379o3b54QTToh9f+qppyYsa+3atfjVr34FQYifFj/hhBOwYMECbNmyBQMHDsTatWsBAMcff3zcfh07dkSnTp1i3xME9axynCuvvJILgsBXrVrV5DtVVTnnR3tWp556atyb+sGDB7ndbudnnXVW3BvuvHnzOAD+3HPPcc45X7t2bZMhm8Y88sgjHAA/dOiQLvuTOe6FF17ggiA0eVt/6qmnOAD+5Zdfcs4537p1KxcEgf/2t79t8sYe/S04TzwM2LhnFQqFeNu2bfmAAQN4fX19bL/ly5dzAHz27NmxbdFezD333BNX5tChQ/mwYcOa/xE4536/v8m2a6+9Nq6XwXl6w4Bbt27lJSUl/De/+U3cfYAEva/Gn0WLFsXZ0b179yZ1+Hw+DoDPnDmzWVtcLhe/5pprmmx/++23OQD+3nvvcc45f+ihhzgAvnPnzib7Dh8+nJ900knJnj7RyiFvwBxGVVUsW7YM559/fpM3TwBgjMX9PXnyZIiiGPv7ww8/RCgUwvTp0+PecCdPngy32423334bAFBSUgIAeP/99+H3+zVtifYw3nzzTaiqmvQ5JHPc66+/jr59+6JPnz6oqqqKfX79618DAD755BMAwLJly6CqKmbPnt3kjb3xb5EM3333HQ4ePIgbbrgBTqcztn3s2LHo06dP7PdpyHXXXRf392mnnYbt27e3WFdBQUHs37W1taiqqsJpp50Gv9+PzZs367a9MT6fD7/97W9RVlaGl19+Oe4+WLFiRVKfs88+O3ZMfX19rJfVkOjvVF9f36w9yR4f/X+ifVuqh7AONAyYwxw6dAherxcDBgxIav9u3brF/f3zzz8DAHr37h233W63o3v37rHvu3XrhhkzZuDhhx/GSy+9hNNOOw0XXHABrrjiipiQXXLJJVi4cCEmTZqEmTNn4swzz8SFF16ICRMmNBGOhiRz3NatW7Fp0yZUVlZqlnHw4EEAwLZt2yAIAvr165fU79ESiX4fAOjTpw+++OKLuG1Op7OJjWVlZaiurm6xro0bN+LOO+/Exx9/DK/XG/edx+PRa3oTJk+ejG3btuGrr75CeXl53HeNhwqToaCgAMFgsMn2QCAQ+96I46P/T7RvS/UQ1oHEqhWRzoP997//HVdddRXefPNNfPDBB/jTn/6EuXPn4uuvv0anTp1QUFCAlStX4pNPPsHbb7+N9957D6+++ip+/etf44MPPoh7k29sU0vHqaqKgQMH4uGHH9Yso3Pnzimfl5EkOseWqKmpwciRI+F2u3HPPfegR48ecDqdWLNmDW677TZdPVUtHnvsMbz88st48cUXMWTIkCbf79+/P6lySkpKYvdQhw4d8Mknn4BzHtdr3bdvH4DInFJzdOjQIbZvQxof36FDh9j2xtd53759sTkygqA5qxxGURTudrv5uHHjmt0vOmfVeF4r6rn1zjvvxG0PBoO8pKSE/+53v0tY5pdffskB8DvuuCPhPvfddx8HwFesWNHyyTRz3LnnnsuPOeaYuHknLaLzG2vXrm12vwEDBiQ1Z/XVV19xAPzJJ59ssm/fvn3j5qKi3oCNmTNnDm/pMVq6dCkHwD/77LO47QsWLGjinXjeeefpmrNauXIllySJT58+PeE+SGHOKjqv2dgb8KWXXuIA+MqVK5u1a8KECZregJMnT46bp9uwYUOz3oCN5wgJ60JzVjmMIAgYP348/vd//xffffddk+85580eP3r0aNjtdvzjH/+I2/fZZ5+Fx+PB2LFjAQBer7dJtICBAwdCEITY8Mwvv/zSpPzoW7zWEE6UZI67+OKLsWfPHjzzzDNN9q2vr495No4fPx6CIOCee+5p0htpeH4ulws1NTUJbYpy/PHHo23btnjqqafizuHdd9/Fpk2bYr9PukR7ZA1tDIVCePLJJ5vs63K5kh4W3LdvHy6++GKceuqpMY9CLVKZsxo3bhxsNlucjZxzPPXUUzjmmGMwYsSIODs2b96McDgc2zZhwgQcOHAAb7zxRmxbVVUVXn/9dZx//vmxOar+/fujT58+WLBgARRFie07f/58MMYwYcKEpH4LovVDw4A5zv33348PPvgAI0eOjLl179u3D6+//jq++OKLONfqxlRWVmLWrFm4++67cc455+CCCy7ADz/8gCeffBLDhw/HFVdcAQD4+OOPceONN+Kiiy7CcccdB1mW8cILL0AURfzud78DANxzzz1YuXIlxo4diy5duuDgwYN48skn0alTp2ZdmJM57g9/+ANee+01XHfddfjkk09wyimnQFEUbN68Ga+99href/99HH/88ejZsyfuuOMO3HvvvTjttNNw4YUXwuFwYNWqVejYsSPmzp0LABg2bBjmz5+Pv/zlL+jZsyfatm0bc9ZoiM1mwwMPPICrr74aI0eOxGWXXRZzXe/atStuuummVC9bHCNGjEBZWRkmTpyIP/3pT2CM4YUXXtB82Rg2bBheffVVzJgxA8OHD0dRURHOP/98zXL/9Kc/4dChQ7j11lvxyiuvxH03aNAgDBo0CEBqc1adOnXC9OnT8dBDDyEcDmP48OFYtmwZPv/8c7z00ktxQ6KzZs3C888/jx07dqBr164AImJ10kkn4eqrr8b333+PiooKPPnkk1AUBXfffXdcXQ899BAuuOACnHXWWbj00kuxYcMGzJs3D5MmTWriOk9YmGx264jk+Pnnn/mVV17JKysrucPh4N27d+dTp05tsihYy72d88iQTp8+fbjNZuPt2rXj119/fdyi4O3bt/NrrrmG9+jRgzudTt6mTRs+atQo/uGHH8b2+eijj/i4ceN4x44dud1u5x07duSXXXZZk9A5jUn2uFAoxB944AHev39/7nA4eFlZGR82bBi/++67ucfjidv3ueee40OHDo3tN3LkyLihyP379/OxY8fy4uLipBYFv/rqq7Hy2rRp0+yi4MYkMwzIeWRY9aSTTuIFBQW8Y8eO/NZbb+Xvv/9+E3vq6ur45ZdfzktLS1tcFKy1iDj6SXdRMOeRYej777+fd+nShdvtdt6/f3/+4osvNtkv6ta/Y8eOuO2//PIL/+Mf/8jLy8t5YWEhHzlyZMJ7dOnSpXzIkCHc4XDwTp068TvvvJOHQqG0z4FoPTDOWxhLIgiCIIgsQ3NWBEEQRM5DYkUQBEHkPCRWBEEQRM5DYkUQBEHkPCRWBEEQRM5DYkUQBEHkPJZaFKyqKvbu3Yvi4uKUonQTBEE0B+cctbW16NixY7MBnhMRCAQQCoV0H2e32+MyBzTHypUr8dBDD2H16tXYt28fli5divHjxwMAwuEw7rzzTrzzzjvYvn07SkpKMHr0aPz1r39tMR6k2VhKrPbu3YvHH38cknT0tBljcTcV51wzsCjnHNXV1S2GOEoVu90es0NV1ZRu2HSRJCnutwkGg6adbyIYY3HpImRZbhIKKhPQ9YhgxevBGENZWVmTF1pBEOK2qaqqeT3uv/9+7Nq1C506ddJVbzpR5tu3b48dO3YkJVg+nw+DBw/GNddcgwsvvDDuO7/fjzVr1uDPf/4zBg8ejOrqavzP//wPLrjgAs2Qb5nEUmJVXFwMSZJQWFgYJ1ANb3ybzabZ6+Kco2vXrilH3m6JUCgUiwlXUlISlwE4U6iqisOHDwOINA7R9CCZxuPxxK5JeXl5Sm+o6ULX4yhWux6KoqCqqqpJO8A5j4t/qCUs0Rfd4uJi3fWmI8D79+9HKBRKSqzGjBmDMWPGaH5XUlKCFStWxG2bN28eTjjhBOzcuRPHHntsyjami6XEKnrzCYIAm80G4GgwVUEQwDmHoihwOBxxD6SqqlBVFQ6Hw5SHJBQKoaamJnbz+/1+FBYWZrSBjDaMNpsNDocDgUAAiqKk9NClQ21tLVRVRVFREYLBIOrr6zPeQNL1OIoVr0coFIIgCLEPELkewWAQjDEwxuLahIZExSydaYZoHcnCOQfnvEmeNIfDoZnUUi8ejweMsWbjkGYCSztYBINByLIMSZJQUFAAu90OzjmCwWDaOYaSJRQKoaqqCjabDRUVFaioqIDNZkNVVVXGhp6iDWM4HEZFRQXKy8vhdrvh9XpRW1ubERuASMPo9XrhdrtRXl6OiooKhMNhHD58mK4HXY+sXo/oEKzdbkdBQQEkSYIsy81mHEiVqFjp+QCRvG8lJSWxTzSwczoEAgHcdtttuOyyy+B2u9MuLx0s1bNqSEOhir59ROcHQqEQgsFgkx6W0TR8EBu+rZaXl+Pw4cOoqqpCRUWFqW/0jRvGaF3RN/jo25rZb/QNG8ZoXXa7HRUVFaiqqsLhw4dNf6On63EUuh4RGgtVtI2IthnR+TsjejBR9PasouzatStOUNK1KRwO4+KLLwbnHPPnz0+rLCOwZM8qOkncUKiiSJKUkR5WogcRiAxJlpeXm/4GmahhjFJcXJyRN3qthjFKtIE0+42ersdR6HpEiLYBjYUqisPhMKWHlWrPyu12x33SEauoUP38889YsWJF1ntVgAXFShAEqKqqKVRRGguW0R5YzT2IDe0084FsqWGMYnYD2VzDGMXsBpKux1HoekRI1KNqjBmClapYGUVUqLZu3YoPP/wQ5eXlhpafKpYTq6irektvHWb1sJJ5EKOY9UAm2zBGMauBTKZhjGJWA0nX4yh0PSKoqgpFUVoUqigNBcsIt36zxaqurg7r1q3DunXrAAA7duzAunXrsHPnToTDYUyYMAHfffcdXnrpJSiKgv3798e8DbOJ5cSKc97izReloWApipL2A6nnQYxi9AOpt2GMYnQDqadhjGJ0A0nX4yh0PSKoqoqampqkhSpKVLCMEG2zxeq7777D0KFDMXToUADAjBkzMHToUMyePRt79uzBW2+9hd27d2PIkCHo0KFD7PPVV1+lfW7pYDkHC703kyRJsfUVNTU1aNu2bUqTyqk8iFGiD2S6k8qpNoxRjJrkT6VhjGLUJD9dj6PQ9YgQvR7R+Wy9ayodDkfGvCTT4Ywzzmh2aiNX8/FarmeVCqIoxrr5qbxBpvMgRkn3DTLdhjFKum/06TSMUdJ9o6frcRS6HhEaXo+ysrKUvRyT7Yk1R7bnrHIVEqskEQQBZWVluh9IIx7Ehjak8kAa1TBGSbWBNKJhjJJqA0nX4yh0PSI0vh7RgAHZgsRKGxIrHUQXJib7QBr5IEbR+0Aa3TBG0dtAGtkwRtHbQNL1OApdjwhmXY90ILHSxnJzVkDiYLWJiAasDIfDsNlsKCkpQXV1NQ4ePKgZ8BKIuH9WV1dDkiS43W7Dg3+63e44G7TeBqPBd2VZRllZGYD04o81xuFwoLCwEDU1NZBlGS6XS3M/n8+Huro6FBUVweFwGO5VRNcjAl2Po6RzPcLhsO42omGZ6WIlAdJD3ojV/PnzMX/+fPz0008AgP79+2P27NkJAzImInozpSJWwWAQiqIAAIqKihAKheD1emG325tEYw6FQrFYgmaEZAEigTRDoRB8Pl9cVGogcp7RGGdFRUVQFCVmu5GIogiXy4VQKKTpaSnLMsLhMFwuF0RRRCAQMNwGgK5HFLoeR0n1esiyDFVVsyYYJFba5I1YderUCX/961/Rq1cvcM7x/PPPY9y4cVi7di369++fdDk1NTXo0qVL0rlfgMhbYDAYxLnnnpu1yNcEQWQGj8eDd955Bw6HQ/f8lRHiT2KlTd6I1fnnnx/393333Yf58+fj66+/1iVW0egVesemFUVBSUkJ2rRpo+s4giDyD0mSYLPZdLcTRi4KJuLJG7FqiKIoeP311+Hz+XDyyScn3C8YDMYNMTQOoU8QBJFrkFhpk1fegOvXr49NCl933XVYunQp+vXrl3D/uXPnxoXM79y5cwatJQiC0A95A2qTV2LVu3dvrFu3Dt988w2uv/56TJw4Ed9//33C/WfNmgWPxxP77Nq1K4PWEgRB6IfESpu8Gga02+3o2bMnAGDYsGFYtWoVHnvsMTz99NOa+xuVKZMgCCKT6BGgXA2PZDR5JVaNiYbxJwiCaC3o7S1RzyrHmDVrFsaMGYNjjz0WtbW1WLJkCT799FO8//772TaNIAiCMJm8EauDBw/iyiuvxL59+1BSUoJBgwbh/fffx29+85tsm0YQBGEY1LPSJm/E6tlnn822CQRBEKZDYqVN3ohVtsmHPDUEQeQ/JFbakFglQTgcznpKZ4IgMkeqL6d+vz/tukmstMmrdVZGoDc5WigUQnV1tWVuCIIgjkZf10NtbS18Pl/addM6K20sKVbJvv1E8+2kEkuQIIj8hTGG6urqpEdUovnBEqVl0Vs3iVVTLCdWsizD5/O1mKCuYWK4RDl5CIJondjtdkiSlFQCx4aJLAsLC9Oum8RKG0uKlcvlajajauMMpla5GQiCiMAYiyVtbE6wzMi4TGKljeXECgAKCwsTpgA3I9U2QRD5B2MM5eXlCQXLDKGK1kti1RTLtsTFxcVNBIuEiiCIhgiCoClYZgkVQGKVCEu7rkdvMq/Xi1AohGAwSEJFEEQcUcE6fPgwqqqq4HA4EAgETBEqgFzXE2H5Frm4uBhOpxOBQACccxIqgiCaEBUszjkCgQCcTqcpQgVQzyoRlm+Voz2qKEaskyAIovXRsG0IBoMUKCDDWFqsGs5RdejQIaHTBUEQ1qbhHFWHDh1a9BJMB+pZaWNZsdJyptByuiAIwto0dqZI5HRhFCRW2lhSrGRZTuj1R4JFEESURF5/ZgoWiZU2lvMGZIzB4/HA6XQmdKZo6CUIAA6HI6M2EgSRfXw+H/x+f0Kvv8ZeghUVFYbUS96A2liuZ+VwOCCKYotefw17WOR0QRDWQpZl1NXVteie3riHJcuyIfVTr6oplhMrVVXhdruTck+PClZdXZ1hNyFBELlPOBxGUVFRUu7pDQXL4/GkXTcNA2pjObEKhUK61lEVFxejqKhId7oAgiDyF5vNpiuCelSwRFFMu24SK20sN2eVCi6XC5zzbJtBEESG0Jv3DogIltvtTrtumrPShsQqSVK5eQmCsBZGRL8hsdKGWmCCIIgcgsRKGxIrgiCIHILEShvLOVgQBEEQ+Qf1rAiCIHII6llpQz0rgiCIHMJs1/WVK1fi/PPPR8eOHcEYw7Jly+K+55xj9uzZ6NChAwoKCjB69Ghs3brVwDNMDRIrgiCIHMJssfL5fBg8eDCeeOIJze8ffPBB/OMf/8BTTz2Fb775Bi6XC2effTYCgYARp5cyNAxIEASRQ5g9DDhmzBiMGTNG8zvOOR599FHceeedGDduHADgn//8J9q1a4dly5bh0ksv1VWXkVDPiiAIIodItWfl9XrjPg2TyibLjh07sH//fowePTq2raSkBCeeeCL+85//GHaOqUBiRRAEkUOkKladO3dGSUlJ7DN37lzdde/fvx8A0K5du7jt7dq1i32XLfJmGHDu3Ll44403sHnzZhQUFGDEiBF44IEH0Lt372ybRhAEYRipDgPu2rUrLtxTa0ttlDc9q88++wxTp07F119/jRUrViAcDuOss86i9B0EQbQqUu1Zud3uuE8qYtW+fXsAwIEDB+K2HzhwIPZdtsibntV7770X9/fixYvRtm1brF69GqeffnqWrCIIgjCWbK6z6tatG9q3b4+PPvoIQ4YMARCZC/vmm29w/fXXG1ZPKuSNWDUmmjemTZs2CfcJBoNxk4zRzL8EQRC5itliVVdXhx9//DH2944dO7Bu3Tq0adMGxx57LKZPn46//OUv6NWrF7p164Y///nP6NixI8aPH6+rHqPJm2HAhqiqiunTp+OUU07BgAEDEu43d+7cuAnHzp07p1wnpQghCCITmL3O6rvvvsPQoUMxdOhQAMCMGTMwdOhQzJ49GwBw6623Ytq0aZgyZQqGDx+Ouro6vPfee3A6nYafqx7yUqymTp2KDRs24JVXXml2v1mzZsHj8cQ+u3btSqk+zjlCoVBKxxIEkX+k+nKaD2ntzzjjDHDOm3wWL14cq/uee+7B/v37EQgE8OGHH+K4444z5LzSIe+GAW+88UYsX74cK1euRKdOnZrd1+FwNJlk1HtxVVVFdXW1IXlqCILID0KhkO6eRCgUMiStPaFN3rTAnHPceOONWLp0KT7++GN069YtpXIcDkfSbz+qquLw4cOQZRl2uz2l+giCyD8456iuroaqqkntHwqFUFVVRWntTSRvxGrq1Kl48cUXsWTJEhQXF2P//v3Yv38/6uvrdZWjqio8Hk+Lw3pRoQqHwygrK6OeVY5it9ubPLiiKOLss89OuqEhiMbY7XbIsozDhw+3eB9Fhcpmsxma1p7EKp68aYHnz58Pj8eDM844Ax06dIh9Xn31VV3lhEIhiKKIqqqqhILVUKgqKipgs9mMOAXCQBRFgSAICIfDTb5TVRUffPCBIW+5hDURBAFlZWUIh8PNClZDoSovLzc0rT2JVTx5I1ZaE4Kcc1x11VW6y3K73bDZbJqC1VioaPgvN7HZbElNgjPG8OyzzyZVJvXEiIbYbDZUVFQkFCwzhAogsUpE3oiVkQiCgPLy8iaCRUKVH9x00026vLUmTZoExhiKi4sRCoVix3LO8dBDD8WGEkVRBGMMkiRhzZo1ZplP5BF2u11TsMwSKoDEKhF55w1oFFHBOnz4MKqqqlBeXg6v10tClQc8+uijKR1XV1eXVAgaRVEwbNgwAJG3a1q2YG2iglVVVYXDhw/D7Xbj8OHDpggVQJmCE2HJnlWUqGBJkhTrYZFQ5TaKomS0Pq05McJ6RAUr2qOSJMkUoQKoZ5UIy/asiPzkgw8+yHidqqqSNyiRMahnpY2ln8CG66iiParmvASJ7HP++ednvM4LLrgg43USuUW0RxXtYSXr1p4K1LPSxrJi1diZwuFwaDpdELnD4cOHMz4MCABvv/023Q8WprEzhcPhaNZLMF1IrLSxpFgl8vpL5CVIZJ/bbrsNFRUVWat/4MCBWaubyB6JvP4SeQkaAYmVNpYUq+a8/kiwcodgMIhzzjkHjDE8+OCDWbVly5YtFHnfYoTD4Wbd080SLBIrbSwnVna7HYqiNOv111iwyCMsM3DO4ff78fe//x0ulwtOpxPvv/9+ts2KcdJJJ2XbBCJDRANYt+SebmYPi4jHct6AgiCgpKSkRff0huuwqqurUVRUlCELrYWiKPjtb3+Ld955JyvzUXr49ttvwTm3zJuslQmFQkm7pzdch2XEiy15A2pjObEKBoOQpOROOypYBw8epOHANAmHw3A6nXn/5mm326mnbQEYY7oCWEcF68CBA4bUTWLVFMsNA+qdd4gGtLTKDWEGb7/9Nux2e94LFWBccj0it4mG4NJ7TElJSdp105yVNpbrWaUCY4yiWqSIoig477zzsm0GQegiVQFIdtSmpbqpZ9UUEqskscoNYTRjxozJtgkEkVeQWGlDYkWYyooVK7JtAkHkHVYRID1Ybs6KIMxi/vz5sNlszc4tFBQUZNtMIsehOSttSKwIIkkYi+TE8vv9cY46559/PhhjuOGGG1p0wAgEArjwwgvNNpXIY0istCGxIkwj19dNRXnggQegKErCbNTRj6IoOHDgANq1axdL1MgYw/Lly3XVt3TpUuzdu9eksyHyHRIrbUisCNPIpgelKIqxRbyqqqKmpgYTJkyIPdwdOnSA1+sF5xy33nprUutposN4dXV1aYdeOuaYY/DLL7+kVQYAVFZWxs5JFEVyrW8FkFhpQ2JFmEa21lV9/vnnkGUZw4cPBxB5+EtKSvD6669DVVWoqoq9e/eiuLg4K/ZFGTx4cFrHz5s3D1VVVbG/VVWFzWbD+vXr0zWNyCIkVtqQWBGtBpvNBs45Tj311GybkhR79uxJ6/hp06Zpbh80aBC2b98ORVGgKAr27duHU089Na5xy7ZQE4ReSKyIvEMQBMycORP19fVxc0r5FhIrnaHE6urqZr/v0aMHJEmCJEno2LEjvvzyy7jv6+rq4HA4KJJ8DkI9K21IrIi84ZVXXok5OsydOxdOpzMrdvz+97/PSr0NadOmTdplhEIhCIKAl19+2QCLCKMgsdKGxIrICwYMGIBLLrkk22YAAF544YWs1m+0E8XEiRMNLY9IDxIrbUisiLxg9erV2TYhBmMMY8eOzVr9RntZUhT53ILEShsKt0TkBbkWSHj58uVZaSRKS0tpnqmVo1eArCJW1LMiTGPLli3ZNsFU6urqMlpfly5d4PF4DC83W3N/hDbUs9KGelZJQost9dOrVy+IopjRSBaqqiadMC9dCgsLM1JPlN27d5tSLs1ZGYcRawupZ6UN9aySwOfz0bh+irTkYm0kXbt2jYVBmjRpkun1ZbqRMGv4769//asp5eYzqbycqqoKr9ebdt3Us9LGcmKlN2NtbW0t6urqYLPZTLSq9VJcXIwrr7wy7XKCwWDC7zjnEAQBP//8c2zbs88+C1EUE+7v8XgwefJkCIIQC6O0b9++tO00E4fDYUq5RUVFppSbz4TDYfh8vqT3V1UVhw8fNmQUgcRKm7wSq5UrV+L8889Hx44dwRjDsmXLdJchCAK8Xm9SglVbWwuv14uioiJDMoBaleeffx6cc7z++uspP1hOpxOdOnWK2xYKhcAYgyAImr0OVVU1H2xBEFBaWoqFCxfGjgsEAujYsaMumzLt6FBfX29KufPmzTOl3HzGZrOhrq4OtbW1Le4bFapwOExp7U0kr8TK5/Nh8ODBeOKJJ1IuIxgMQlEUHD58uFnBigqV2+2Gy+VKuT7iKBMmTICqqnjllVdSOn7Pnj1xD6hZPY1cxgynlRkzZhheZr4jSRKKiorg9XqbFayGQlVRUWFoWnsSq3jySqzGjBmDv/zlL/jtb3+b1P7BYBBerzfuwzlHSUkJwuFwQsFqKFQUQ814LrnkEnDOEw7TZRM9Q8TZaCR69eqFm266ydAyOeeYP3++oWW2BlwuF9xud0LBaixURi2vILHSJq/ESi9z585FSUlJ7NO5c2cAkbemiooKTcEiococsizHxfXLlBdfc+TDGqaHH37Y8DJvuOEGw8tsDRQXF2sKlllCRSQm+62DicyaNQsejyf22bVrV+w7u93eRLBIqLKHzWaLJUBs37591uzQ29u7/fbb06ovVVdnzjkCgUBadTcmk56b+URjwTJbqMzsWSmKgj//+c/o1q0bCgoK0KNHD9x777158ZLWqsXK4XDA7XbHfRrSULD27dtHQpUj/Pjjj9k2IWluueWWtI7/5JNPUj7W4XAY6nRx3HHHGVZWa6OhYO3bt8/0HpVZQ4APPPAA5s+fj3nz5mHTpk144IEH8OCDD+Lxxx835TyMpFWLVTLY7fa4iXpypsg+2bgGNpsN//nPf3Qfl66tZ599dlrHO51OPPPMM2mVEeXw4cOGlNNaaXitHQ5HTgiVXsH66quvMG7cOIwdOxZdu3bFhAkTcNZZZ+Hbb7815VyMxPJiVVtbi0AgAKfTCcZYi16CROtg0KBB8Pv9cXNmJ510ku5y0s2hpShKs2vIkiETC6CtTnTojzEGp9OJQCCQlFt7KqQqVo2dybTuqxEjRuCjjz6KeZX+97//xRdffIExY8aYci5GkleLh+rq6uKGiHbs2IF169ahTZs2OPbYY3WX13iOKhQKoaqqCocPH0Z5eXlOTPgTxnLJJZek7DqvRVlZWdplOJ3OnJgz2LlzZ7ZNyEm05qiibQcAw6cN9PaWovtGHciizJkzB3fddVfctpkzZ8Lr9aJPnz6xUGj33XdfTuRoa4m8EqvvvvsOo0aNiv0dXR8yceJELF68WFdZWs4U0TksEqzswxgzpQF/8cUXDS2vNYXharzomkjs9RdtM8wQrFTFateuXXHz8lrrEF977TW89NJLWLJkCfr3749169Zh+vTp6NixY87HiMwrsTrjjDMMacD8fj+CwaCmM4WWYBGZp2vXrtixY4fh5RoZiSTdIcCGKIqS8rqzTEd/twqc82a9/swSrFTFSsuJrDG33HILZs6ciUsvvRQAMHDgQPz888+YO3duzouV5boNkiTB5/M16/XX2K09F4ZorMa6deuybUKLGJmuI534fEaE+CHi4Zyjurq6Ra+/ROuw0sFMBwu/399ktEgUxbyYp8+rnpURSJIEl8vV4ltQwx5WdXU1CgoKMmQhAaDFN8RcoKKiwrCyAoEAGGNQFEXX0LPD4ciLhibfCIVCkGUZbdu2bdHrr2EPy4gQYKn2rJLh/PPPx3333Ydjjz0W/fv3x9q1a/Hwww/jmmuuScXUjGK5npUsy0nnIYoKlizLhg75EMnx008/ZduEZjEjzM2IESN07U/3pTlwzlFWVpa0e3q0h6UnUnsizOxZPf7445gwYQJuuOEG9O3bF//v//0/XHvttbj33nvTtttsLClWerDb7SgrK6OhwAZs2rQJTqcT3bp1w7Zt20yrp0uXLlAUxVIT/3rXu1glLlymsdvtutMCFRcXG7JG0EyxKi4uxqOPPoqff/4Z9fX12LZtG/7yl7/kRbgoy4lVKthstry4mJnguOOOQ79+/RAMBvHTTz+hZ8+eYIyZ5voqCAJ27doFVVVx4YUXmlJHLqH3pah3796G1Z0P7suZIlUv4Exnj7YSJFZJQi7sQEFBAbZu3ar53ZIlS7Bo0SLT6maM4d///jemTJliWh16GT58uCnl6gmhtGnTJrz++uuG1LtkyZLYm/o///lPQ8ok9ENR17WhFphImpYCp2ZCSJ566inT60iWNWvWmFKu3mSIEyZMMNyGXHdjbs2QWGlDYkUkRTLDU3rmA3/++Wf07t0bBw4c0GUHYyxnhmTN8sJLJZL7qaeeaoIlRDYgsdKGxIpICiPTUfzf//0funbtii1btqB9+/YQBAF33XUXVFVNShQ/++wzw2xJB7OGhvU6AQHA559/boIlRDYgsdKGxIpIimQXnh48eLDFfQYPHhz3N+ccd999N0RRhCAILT6AJ510Er7//vuk7GlMZWVlSsdpoXdNlNmccMIJ2TaBMAASK21y50kjcppkY+D16dOn2e+NWhfUt2/flISiqqrK0OE7v99vWFkNURRF9zEbN240wRIi05BYaUNiRRhKdXV1s7HqLr/8csPqevPNN1M6rm3btobZYETEAi0a9z6TwYgFqUT2IbHShsSKMJzi4mLNnpjP58O///3vpMtpaf5q7Nixum0DIkkGU5kXyiR6e0n79u0zyRIi05BYaUNiRZiC3W5v8kDpDda6cOHCZr9P5yHVG50gG+gZ5uzYsaOhdVO8wexCQtUUEisiZ0k1ZUayLF++3NTy04VznnYW4VQYNmyYpRrBXIN6VtqQWBE5SzILU/v27Zty+fkQvsnIOb5kWblyZcbrJI5CYqWN5VKEEPoxco2VHpLpWW3cuDFl9/F8yPL7v//7vxmvk+LbZRe9AmQVsaKeFZEQVVUxbNiwjObyqqurA+c86YCujLG0IuL/8ssvKR+bCfJBUAkiE5BYEQCAnj17xi3IZYxBFEXT4t9psW/fvpRTLAwbNiyl48rLy/HHP/4xpXVNmSAbi46NzIBM6IeGAbUhsUqS1uwdVVVVhW3btmU9Z1f79u1TPnbVqlUpH/vcc89BkqTYg2+z2XDttddm/fcAgDZt2iS139ChQw2rs0uXLoaVReiHxEobEqskCIfDrTYjq6IohoYgSpWW0thv27YN06dPT/g9YwyXXnqpIbbIsowFCxZAEAQ8++yzhpSZKv/4xz+S2s/IHrDH48H1119vWHn5SKovp0ZENCGx0sZyYiVJ+nxKQqEQqqurW90NsX79ejDGdP8eRhPt0WkNPXHOY0OTPXv2xGOPPQbGGJ588knNsl5++WXD7Zs0aVJWe1iXXXZZ0vsaaedTTz0FxhhuvfVWw8rMJ0KhkO75wtra2pxPa5/PWFKskn37CYVCqKqqgiRJOZOWgiAI82GMobq6OukRldraWni93pxPa5/PWM51XZZl7Nq1Cxs2bEBtbW3C/Ww2GyoqKiDLMjweD5xOJ26//XZUV1dn0Fpjid7YerztzGTr1q3o3r17wu+dTqemndOmTcMNN9ygeUy63oFaPPjgg7jtttsMLTMZUnGuKCkpMdRB4qGHHsI111zTYoDi1obdboeiKKiqqkJFRUWzL6tRoXK73YYsZCfXdW0s17OSZRl1dXVwu90oLi7W3KehUFVVVeVEw24EnPOkc0Zlgp49ezb7faK32ubmE2688ca0bNLirrvuMrzMZEhlwfMjjzxiuB2pBNXNdxhjKCsrg81mQ1VVVcJ7saFQJWpPUqmbelZNsZxYAZGAqolusNYqVLmIGek1HnvsMcPLzEbIIwD473//q/uYq6++2nA7WqtzUUswxlBeXp5QsMwQqmi9JFZNsaRYAdo3GglVZtEb2DYZzHhwy8rKMl4nkHpsxF69ehlqR7adcLKJIAiagmWWUAEkVomw7l0IxOas3G43bDYbHA4HCVUG4ZyjrKws5+cBd+zY0ez3Xbt2bXGfTLJ582ZDgwAvWLDAsLLykahgHT58GFVVVXA4HAgEAqYIFUBzVomwbM8qSm1tLerr61FQUABBEEioMkxNTU2La6y0SOSYcdJJJ6VlTzAYjDmgRD8t2bd9+/aUI2g0R6rDb0ZGvQgGg6YMLeYbUcHinCMQCMDpdJoiVEDr6FmpqornnnvO0DLzTqyeeOIJdO3aFU6nEyeeeCK+/fbbtMqL9qiimDE0RTRPc16ZidixY0eTSAuKouCbb75J2Y6ePXumvEThu+++M3x5wzvvvJPysQ8//HDa9S9fvpyWbDSg4RqqYDBo2lxeaxArQRDw9NNPG1um3gMmTpyYtRQCr776KmbMmIE5c+ZgzZo1GDx4MM4++2wcPHgwpfIazlHt3bvXtDFowhx27twZ98CmO7fy/fffp3W80dHpp0yZkvKx06ZNS7v+VDMxt0YazlF16NChRS9BAjj++OMxb948w8rTLVYejwejR49Gr169cP/992PPnj2GGdMSDz/8MCZPnoyrr74a/fr1w1NPPYXCwsKUuptazhRmTpoS+rniiisyWl+62YMZY7juuusMsgY4fPhwysda2SnCaBq3C4mcLoyiNfSsAGD37t14+OGH0bVrV1x++eWYO3duWglPdd/Ry5Ytw6FDh/DCCy/g+eefx5w5czB69Gj88Y9/xLhx40xLFx4KhbB69WrMmjUrtk0QBIwePRr/+c9/NI8JBoNxbsderxeCABQ6bSh2l0KWw6jzHobDBgCRCx4O1qHeD5SWumGTAL+vDpLEIIlA21IRTsHc7LVWJexr+tLz3FN/xUfvGh9CSY8NevnH3+7Em68/Y4A1EdKxqUN56vdqcXGxIb9HPiLXe8HVMLjC4KmpRW2dD8VFLrgKJKhyfWy/spJC/FLtRdWhA2hTVgK73Qaupi9crcXB4s033wQQSfuzceNGrF+/Hh9++CHOO++8lMpL6fWrsrISM2bMwIwZM7BmzRosWrQIf/jDH1BUVIQrrrgCN9xwg+Hus1VVVVAUBe3atYvb3q5dO2zevFnzmLlz5+Luu++O23bPnTcCYglEhGFDLTqWaIlrCDL8KC4ohVQpQUAIKiTMuqIMdpBYmcH+L6drbv/7DRVZt0EvRtqcjk3p2CFKkmG/R77hDdgRruuMYC0QkCW47GHYwwcR1HBadTHAKztw6IAXJQVBwCDnrFwVoOYYPXo0br75ZowZMyZue2FhIU488USceOKJaZWf1ljBvn37sGLFCqxYsQKiKOLcc8/F+vXr0a9fPzz44IO46aab0jIuXWbNmoUZM2bE/vZ6vVj8zMNQVRmKXA0Vzd1YPqgCEBSKALUeAlQc9CgQcjTvUb4juTo22SYrCvZWZe731rJBLypXDbU5HZvSs0PBaQb8HvmIxASosMMfZiguUOFySEjUVIoASooAj1+AN1CAQnv6yTLztWf13XffoWvXrgCAn3/+OeYAtXDhQnz++ed44YUX0ipft1iFw2G89dZbWLRoET744AMMGjQI06dPx+WXXx5z8V26dCmuueYaQ8WqoqICoijiwIEDcdsPHDiQMA+Sw+GI8/SLwAG5FqqaxBuQ6ovcjWIxVKUe9SEOJpNbuxkItqYBQBc/l+H1PWJBem7fHFho4JokZ4FT83dJyhRVhT+Y3r2aat35DpMAWWVwOYAiJwNaGE0RGVDqAjw+htpg+tMg+SpWoVAoNtc/cOBArFu3Dt27d8eIESMMCVmmW6w6dOgAVVVx2WWX4dtvv8WQIUOa7DNq1CiUlpambVxD7HY7hg0bho8++gjjx48HEPHl/+ijj3TFgxN4GBy82T5VHIoPgAgI5szFEalTVFSEy39/eexvrnI880zq80WvvfZaWjmxFj67MOVjtTj99NNTPnbDho1p179z504ce+yxaZeTj0giUOBIXuwFBpS4OH7xpv8ym69i1atXL3z77bcoLi6Gz+eLBVQuLi7GL7/8knb5ul8jH3nkEezduxdPPPGEplABQGlpqSkr+mfMmIFnnnkGzz//PDZt2oTrr78ePp/P/EWLqh9QZXPrsDCpOOUUu4vjhAoAmMDQtm3blO3werxQldSS7r3xxhspH5uIYzunLhSJnI708N677xl+TvmClMLUtMCAImf6Q8D56g04bdo0TJ48Gb/+9a8xaNCgWOLSzz//vImvQSro7ln94Q9/SLvSVLnkkktw6NAhzJ49G/v378eQIUPw3nvvGfJDtAyJlVlcfPFFuo+55OJLNLePG3cBnnkm9R7OwoXxxwqigEmTJjV7jKooqDpUlXKdiRDE7K/Zf/bZhZicxnovqyEYoBv52rOaNGkS2rRpgy1btmDy5Mm49NJL0b17d+zbt8+QbAh5txjjxhtvNCUNBJEFWOoLXxM15MzAUEMAoCoqnl/8PCZeNTHhPguPvEHmCq++8qphZXEOLHzmGUyaPNmwMonmyVexAoALL7ww9u93330XS5cuRSgUSmt4PUreiVW6CAIg2hjAk7/AKhg4Y6hoI0HilvvJTOPMM89EuG5Xwu+PqUz8Wyc8jjd/XGoozdtZYc49EardhVTaoSK7D0UG/wbNnX9rQ66XwJX24ExtwWO4KbyZXGvJks9i1RBJknDRRfpHTRKWZ1hJeQJjgCQwCNAhVpxBBlDiEuBg2R+aaTXIHijNjK62KU78Wytai14QaSyaOy4lWOL6gObtTAe/Zy+cBQW6jjHl/NH8+bc2lJADnFeCqwo40yc+RgTBbi1iZTSWEytFAUKy2my22SYwFRA4fqgKgckUC8woTv7NoGa/X7/9a93HfvXll9iw3dhrJIoiTh6d2Nbm7EyH3TU7db+Z/vDDD1hv8PkLotDitWpNBH2AINkgSBx6M60onOa2zcJyYgUA7dq2hd2e/KmHFSAkM/xm9KUoyeGlJwuebmGND4sEleKI/ie7eD1euEsSp98QREHTG625F8kNG9N32W7M8ccbn/4jGWpSyPP1n6/S9wJszIQJEwwvk0iM2T2rPXv24LbbbsO7774Lv9+Pnj17YtGiRTj++OP1mppRLClWrZUp1ybvrPDLL7/gX6//y0RrWuaVV17BZZddiuIE+aIm/XESFjyzoImwnnLKKYkLNUGEBw8eYnyhSZDKiJLRQVUHDx5s+JpJonnMFKvq6mqccsopGDVqFN59911UVlZi69atLWbDzgVoAsaitGnTJuKJl+Xh7pdffiWxaDJgyuQpEBr4AzscdvTr3z9D1h21I1voWef0808/GVr3pEmTcOJJ6cVzI/Rj5jqrBx54AJ07d8aiRYtwwgknoFu3bjjrrLPQo0cPE8/IGKhnZWWOuI4HAgH88/l/Zs2MX375BQueXqDdM2RIzm2aG5d+XRAYevfug9NOOy3rYv7iiy/iyolXtrjfG//+N6qqUk8p0hC73Y6rrr7KkLII/aTas/J6vXHbtcLNvfXWWzj77LNx0UUX4bPPPsMxxxyDG264AZPzYGkCiRUBp9MJt9sNb603q3NZ9X4/CgoLUzr2jaVvpFxv7z69cfppp4MZsaLTYILB5BI6GiVUAJpEBiEyS6pi1blz57jtc+bMaRKTb/v27Zg/fz5mzJiB22+/HatWrcKf/vQn2O12TJyYeC1hLmA9sWIA5yo4Tz4sCucA5wK4XA813DrDz1w84fymGznHu++9j2oD4nolw79fewkXX3IJpBRi3fi9h1Ho0C82EyZMgN1hB1f80HFLxJFKvXpQw74W9zHSBomFoYbTjx6er3BZAOfikXZC57E8e+usdu3aFQsmDkAjiHcknurxxx+P+++/HwAwdOhQbNiwAU899RSJVa4hCgBX/VB1PItcEcAVG4LerUm/6bYWfn1SZ2zdGoAsZ8Yld8O3S1FRUYHKysqkj9m7Zw/6dbOnVB/3b0XQn9KhMVKtO1mC1S17OBppQzL1tWaCQSe43Bech/UtcQFggFalLFZutztOrLTo0KED+vXrF7etb9+++Pe//63f0AxjObFSVIAJhRBsyb+9MwFgTIDD3QuOwtbZs2qOASf0x5KXlmSuwh17AezFZZdf1uJDu3z5cng93mb3SYQgCBgyIn1nje93/DftMhLRuXNnOMpattFIGwac2AeS3gVGrQiHXwCTnGCSHXoTg7NUu+cNyzDRG/CUU07BDz/8ELdty5YtsdxTuYzlxAo8IjyM6RArduQGkgosmykk3dxIqfDj9j3o3ad3s/vsP+hJufxzzvmNITmbzPxtTjvjNxCSEA4jbVj+zodxMd6sBpOibQTTHe6KsdyOYHHTTTdhxIgRuP/++3HxxRfj22+/xYIFCwxzTjITcl1PEoOyVRM6MGL8vzmO7ZLjuZoYkhIqo6k6VJUTi8atjFnpQYYPH46lS5fi5ZdfxoABA3Dvvffi0Ucfxe9//3uTzsQ4rNezSgHOI1EsCH1MmTL5aLiJFFzLu5u49sNZ4DStbKM4YfgJSe+bKNpHqrz44ou44g9XGFZevpHqy2lYSd/RxewIFueddx7OO+88vWZlHcv1rLjOhTMqB2r9jHpWOrjmmqsja6YaPkQsEmGjW/duSZdjtzfvNLDz550p2ed0OnDllS2vXcomZW3KMGTokKT3bynnll78/jS9TvKcsKJfsMIyUBtMvyecr8kXzcZ6YsVsSb/9qBzw+BhkDujwx7A0DocdUjOZf8/89ZmG1fX++++ldJyRQqUq5nS5J/xOfzw+yUYDJUbBj7ykqkkKVlgGavwMkgFzVoQ2lhMrgKM2KCLcgid2TKhUwO3kMDinX94hJPkDXHKJdgbfWDkGZb+tqa5JqbfrdDqbj4Srk2dNSryYygLlNnkQ3y1fsImAfKQNaEmwYkIlWDutvdlY7lXMJoQhIIzqOgFuZwA2sek4P+eAJ+CEokb2YRyQFRHBmm0IBIJZsDr7nHVKF+zZs6flHX1bEWhhBGlQD0eLeX/sDgcCh/8v4feb1q7BwO761xYNGjyw2XL1cGD/fgwwaY1VKjZ2LKlDuyLj7DHqd8o3ggEHoPaAy6bCH3KgulZFiTOg+Y4TVgR4A06IgopiewCyktvegPmM5cSKc6DYEYZfdsAbLERJQQg28egNpnLAG7BB4QJKCkOwiSJkhYGpAkS7G6LDmvlqOnQuw/rNLWeLFZ0tv90PO+nXCNQHsHrNagw/fjjsDn0N7Icffgg12fGZRtgLK1I6TosNP3xnWFkNERggOvT1klZ9uwrVNcZGndBrQ2tBVCUwJsIuMdgkGZ56O7zBQrgLwmjY4Q0rDN6gHZKowl2gQGA2MMoUbBqWEytVBQTRjlKnCI+PwRtworSQwyYdcabwMSgcKHNx2KRIuBIGgHEGqbADDFiWk7fsOdS8UAsCg62oc7P7RLEVAWec3Uu/ERzYdSD1RjlZ+5Jhb5VsiuPNiSedqNvODVvfNdwOI3+rfEJiABNtYCKHXQTKBKDGL6E2IKHExSGwyNCfN8BgE4ESF4NwZN0may71dZKQWGlj2ZkYgQElLg5JiIw3h+Sjc1RR8SLiEVtY83Pa6aebbsPnn39ueh3JUlGRfEgoPQzQmQJlx/bthtswatQZhpeZr9ikSJsgq5E2ItRgjioqXkZCc1baWFasgKOCJTKgxicgrDASqmYYP358s9/37t18tAkj2LRpk+l1JMvYsWNNKVcUk78BucqxYsWHhtVtt9sxZcpk9DruOMPKbA1EBSusMNT4BIjMHKECSKwSQc0ykTTlFeWYcu0U1FTX4N///hcKC10Ye97YFoNnpgXneGnJEvjqWo48nmn0zrUlBYOuHFrPLHzGsKr1ZJomzIOGAbWxtFhF3dMVDpS6VPgCDDV+6l21RGlZKf5o8CJULepq67BkSQYD6OYAbSvb6juAlvVkhKh7uk3kcDk5PH4Gj4+ZOgyoZ38rYNlhwIbrqEoLOexS/BxWS+uwCPPJeaEyQSjGjx+na3+j1q0RiQk3mqOyN5rDStExNSE0DKiN5foPggCoSgg1QQZZFVBSEILIONQja/mKnYC33oZqnxBza+cKA1cEyP79CHNSsUxxTKXxt2e4rmX3+2RRFdVQG3sfdxzCvt26jjn/rBPw3XfGuNAb+dvkM3K9BK60B2cqggrgqbdDEhQUO8OACqgARAa4nQyeejtq6tSYWzsn13XTsJxYMQbUBm3gANxOPySmxiVMYwDcjjA8ASc8fimyKBgA5yKUkBeKYM1FwZlm48aNaFNsfK9BCVYbVhZXuWE2Dh06FGBMt30lLmDUqUPx3/+mn8/KyN8mn1FCDnBeiZAcWRQsCjLcjkhwgIZLFSQGuB0yvAEnPH4RJc5Ai4vdk4HEShvLiVVYtUGCDeVFgE1KvGiqzBbp4teGilDk4BAkBkdpbzgtvM4qk6ze/LUpw2wnnTkAzMDYWeu3f2NIOSf/ZnCadqwywIZBaZfRGgj6AAg2+EKITQ8ITDvepWgDROnIOqyQHQW29Bdmk1hpY8EBb4Zih9KiA0XDdVjeAIMBvXtCDyY5Dnz88SeGlpdszMR8IBc9LrNFWIn0nJJxoGi4DqsuQBGvzSJvnrT77rsPI0aMQGFhIUpLS1Muh/FwXHil5ogJFqN8Vq2Fbdu2GZr+YsSIEWmXYWsmSn0mef1fr2fbhJyBMaC4MHlPv5hgcePyWZGDRTx5MwwYCoVw0UUX4eSTT04r0jXT+couHLlpfUFr3BBW4MUXXmyyTRAEXHDBBWjbTp/reJ++ffDFF1+kbAtjDFdfc3XKxwPA5k2b0zo+SigUMqSc1oBN1B+c3yYBxQ7joq7r2d8K5E3P6u6778ZNN92EgQMHZrxuxiifVSaRs7BuQFVVLFu2TPdx6dp67thz0zpekRWsXLkyrTKiOB25nz05U6Ta/ic7atN83dSz0iJvelapEAwGEQwe9d7zer0pl2WR+yEneOWVl7NtQtKk64V3TMeOKR+rKoqh+bQuvbT5XGRE5rCKAOmhVYvV3Llzcffdd8dtu2/2VHCugvPku+ucA5wL4HI91DB5WpjJ2nXrACWAQkd2HlY1VKfrzWTrD+vTslWVU5s/q6utxVtv/a+hv5MkyFBpNTy4LIBz8Ug7ofNYTuuszCKrYjVz5kw88MADze6zadMm9OnTJ6XyZ82ahRkzZsT+9nq9eOnZv4Krfqg6PEy5IoArNgS9WxEMBlKyhWgezjl+2LwZDEA/kxIaJkOw+ntdsfn6HCsCSH2MOFi9MaXjfty0yfDfKVVbWhvBoBNc7gvOw1B1ugEboFUkVgnIqljdfPPNuOqqq5rdp3v37imX73A44HA44rYpKsCEQgg6JqGYADAmwOHuBUch9azS5eeff8aXX3yZbTM0GTJCR3oODny/I71hQF314WiPylAYcPnllxtbZh7j8AtgkhNMskPQ+R7CdIzYJCyDxEqTrIpVZWUlKivNyQmUEB4RHsZ0iBU7cgNJBRByw8s4L9mxfTtWfPhhymuoXK5C/P6KK2J/q4qKhQsXGmRdBEFPdk0O+IPpTajrqg/AK6+/lFZ9Wpw84mTddrRmmBRtI5juuWrGKIKFWeSNN+DOnTuxbt067Ny5E4qiYN26dVi3bh3q6uqybRqRBDt27IjkXUrxWS4sjBcqIBLEdVIL0d8ZY6ioKEfbtpWQ8jyU/rZt20wpt3+/fqaUS6QGeQNqkzdP7+zZs/H888/H/h46dCgA4JNPPsEZZ5yRJauIZPj0k0+wZcvWtMq4/PLLNLcLooApU6ZgwTMLmgghY8DkKZObHsSBUDiEr//zNTb/sBngkSzIlyWoIyEZbiM+/eRTU8q1SmOXL1DPSpu8EavFixdj8eLF2TaD0MkzC54xJLinIDYzbMuAKVOOJA7kvGVvPhbJiHv6yNNx+sjTUzcqw7mkVNWcMCpffPklTjvtNFPKJvRDYqVN3gwDEvmH1+MxRKh0kcEHV5Yz6+btchWZUu6WH7aYUi5BGAmJFWEar7z6arZNMJV33303o/VdfPFFppSrKBT4MpegOStt8mYY0ChEEVAVP5Rw8hdYVQSoiohgzTYEApTPKlkGGrgOKHD4/wwryygqCg6jont656j3vIb0KjBFXHLx980WwYADqtwDKleg6FxnpSrkDWgWlhOryJSGpCunEeMMTBUg2t0QHbTCP1l+qTVuTdq3qzfhZAMinBsCBz5YscKQokRHma79h55wBjjnEc9KgxAY021Ha0ZUJTAmggkMTNAnPoxRBAuzsJxYqSrABDsEMflTZ4gIllTYAbQcJXn2HDJQ2A95cEyPEHr06GFcmSnyyccfG3ZutqLOKR1n5G975pm/TtmO1ojEACbawESuf1Gwkv51IbHShuasiLzhow8/gpoD8ys//mjOeic9iM15R+pAEBh69OxpSFmEMdCclTYkVkkiZ7+NJAAsXPgsnlmwAN9+8y2ULF2UjHs4avCHP1zR8k4tEFlUrbEOjUgZ1YBbg8RKG8sNA6ZCfZCRWOUQnCMWwUSLC8ZdgPbt22fWqBRwFaU+pmx3OHDKKafgyy+bxliccNEEtGnTJh3TLI+sAHadraPKjUlrT8OA2lhOrFRm0/X24wsw+EMMBfbsv03nG4xBd4oFI3jrzbfAGMP48eNR2bYyFrFi5WefYfuOHQCAwoJCXHLJJbDZsxfsccLvJqR1fP8B/bF69WoEApFMAIwBkyZN0uU8RGgjK5GXVFthcjewygGPj0E2sGelZ38rYDmxAhjqAiLs9kjK+ubwBRh8QYZCO4dBUwSW4vSRI/HZp59lpW7OOZYuXZrwe7/fj0WLFkUiX2TjWWeAw+loeb8WuHLilfDUeKCoCvWmDEQSAX+IQRQAl7N5BYoJlUpp7c3EcmIlMhmyqqKmDnAXhBMKlj8owheS4LLLsEsqQrIA2b8fYU6u68nSrWMhfqzM7Vvs7aXP4bhevdC1a9eWRYsDqqqiS3s7ZCU9F+WRI09HuG5XWmVEKTzyE4frfIaUZ3Xkegki2qNAirzYclVGYQIRUjngrbdBVgWUFIQAA0JikVhpk9stiQkITEWhrR71cgE8fhElzkCTCD3+kA3+kIhCexAFtjBkJZI5VAl5oQi0KFgPbYpzf0iqav82VO1P3sNv5Km/0i7n0CHs3r27WQcMJggYMmQIAD+UYGpZgglzUUIOcF4Jp6RAYCJ8QTs4V1Boj8/YyjngCTihqIDb6YfEVIQNGPcmsdLGcmKlKIDD7oTTKaLGL6E2ZEeJi8d6WL4AQ73MUFTA4XI6ATihCpGFk47S3nDSOitdrN/+dbZNMJyTfzNIc3uncqBTakmtiRwi6AMEyQZB4ih2AoLI4AsWQhB5bEhQ5YDXx6ACKCvisEmRhkExaOTFKgKkh9x/7TUJmwSUFnLIamS8WeVH56hcDt7iODWRHPTQEfmOy8nhcnD4ggy+AIuboyot5MjnNGl//etfwRjD9OnTs21Ki1hWrIB4waryCiRUJnDMMR2zbQJBpE1DwaryCqYKVabWWa1atQpPP/00Bg3SHinINSwtVkBEsGwNPP0KHCRURnLu2LE4Z8w52TaDINKmYdtgE2FajyoTYlVXV4ff//73eOaZZ1BWlh9xIS0vVr4AQ0hmsEscjPHYkCBhHMceeywmTZ6UyVRTpiG0tN6BaJVEh/4Y47BLHCE5MiRoBqmKldfrjfsEg4mdwaZOnYqxY8di9OjRppyDGeTxaGv6NJ6jCstAjZ/B42NxThdE+giCgMnRbL4AwDkWLlwINc/eDPJlyIQwDq05Kl8A8AUjDYTR0wapegN27hwfjHjOnDm46667muz/yiuvYM2aNVi1alVadmYa64kVAzhXURfg8AUYXE4FhQ4VnEcWApYUAh6fiBofUFKoQDgShYFzAVyuhxo2Lu2F1bnmqsvBOcfKlSuxd8/enIi51xLHDx0ANUzrmVozXI4sVeFchaICHr8IReEocSmQxEh7UOgAOATUBQRwcLgckXaB8+ylCNm1axfcbndsu8PRdNH5rl278D//8z9YsWIFnE5n2rZmEsuJlSgA/qCMkCKi0FaPAiEEtcHyCRFAsV2AN1iImloVJU4/uCqAKzYEvVsRDAayZntr5aRBFcCgiibbOefYtWs3fL66LFjVlL59+yJYszHbZhAmEww6weW+UHkYtSEnFM7hdvghqioa5mIsEAAu2eGrd4DLQRTaQzBAq1IWK7fbHSdWWqxevRoHDx7Er351dK2goihYuXIl5s2bh2AwaFhEf6OxnFjJqghVKURxAYfL4QDQ9O3DYQNKbYDHZ4c3bIfLoYAxAQ53LzgKqWeVSXq1GQAAWLtuHTZt/D5rdhS7izGkrH/W6icyh8MvgIlO1IULwAGUFimwidoLLItsAAsK8AVcYFIBbEJYcz89mLko+Mwzz8T69evjtl199dXo06cPbrvttpwVKsCCYsUhodCmosgpINKP0sYuAaWuyBxWXb0Ehx1gUgGE7MU9tTTDhp+CAQOH4fnn/5mV+i8fdzEE0fL+SJaASUBYFaBwoI2LwyY134AXOSORunxBEQ4xtyNYFBcXY8CAAXHbXC4XysvLm2zPNSwnVgwyCuwqknGEjK7D+sXHIFCKkKzjyOIYOwmVteAccDuTX0cVdbLw1qd/n1C4JW2sJ1Zcn+rYpMhNWx+2xg2R64wZMwbvvvtuRuucMoUSFFoNmwhIOltHl5NDlrPnYJEqn376aVrHZwrLiVUqSBJgo6mqnKBTp06Zr9Qib67EUVJNCRYZtUkP6llpQ2KVJJTPLjdgGV78JtCFJzIMiZU2JFZE3pGpDMSSTcI111xjfkUEQbSI5cRKFAFV8UPRMQelKgJURUSwZhsCAcpnlW3+8LuTsHbtGiBJwTq2y7EoL2+6jqsJnDcZ8gsc/r8ULCTymWDAAVXuAZUrUFR9w3qqktvegPmM5cQq0h5JYDqGdxhnYKoA0e6G6KBMwbnAsBPPxIoVK1rc76yzfpMBa4jWhKhKYEwEExiYoE98GKM5K7PIC7H66aefcO+99+Ljjz/G/v370bFjR1xxxRW44447YLfbdZWlqgAT7BDE5E+dISJYUmEH2Cj5Ys4w9sJrsPCZhVAbvf0yBhxzTCece+4Yco4gdCMxgIk2MJFD0LlGlinpv8ySWGmTF2K1efNmqKqKp59+Gj179sSGDRswefJk+Hw+/O1vf8u2eUQWmTR5UrZNIAhDIbHSJi/E6pxzzsE55xzNidS9e3f88MMPmD9/PokVQRCtChIrbfJCrLTweDxo06ZNs/sEg8G4nC5er9dsswiCINLGKgKkh7xcRPLjjz/i8ccfx7XXXtvsfnPnzkVJSUns0zjfC0EQRK6RqbT2+UZWxWrmzJktXoTNmzfHHbNnzx6cc845uOiiizB5cvNhcGbNmgWPxxP77Nq1y8zTIQiCSBsSK22yOgx4880346qrrmp2n+7du8f+vXfvXowaNQojRozAggULWizf4XA0SUAmCABXQ1B1eO1whYErAmT/foQ5ua4TRGtGrpfAlfbgTIWa7GK+I3Cd67K0oDkrbbIqVpWVlaisrExq3z179mDUqFEYNmwYFi1alHIYnEj0AxlcTf4CczWSOVQJeaEItCiYIFozSsgBzivBVQVc57opI7Jdk1hpkxcOFnv27MEZZ5yBLl264G9/+xsOHToU+659+/a6ylIUQBALISYb+x+AKgACY3CU9oaT1lkRRKsm6AMEyQZB4tCbi1AxYOSFxEqbvBCrFStW4Mcff8SPP/7YJOq2EW8yBEEQRG6TF96AV111FTjnmp9MYcBQNEEQRIuQg4U2edGzyjayDIQpUzBBWIZUX07rQ5Qp2CwsJ1ac6RuEDsuAN8Bgt9wvRRDWJawAkhzJGJwsvgCDP0xiZRaWa4I5JNSHBCQT/zYsAzV+Bonpu2kJgshvGIu8pEoiRzK+WL4Agy/IUGhLfwiGxEoby4kVgwx/WIAY4HA5Evf1wwrg8YkQRQ6XQ0FYEcDleqhhmrwiiNYMlwXYBBEKY6jxASUupdmXVV9QgC/A4HIqsDHyBjQLy4mVJCiwi3746h3gchCF9lCTfcKKAG+wECILwW3zQ5EFcMWGoHcrgsFAFqwmCCJTBINOcKUvimxh+EJO1NQJcDv8sIlNX1T9ITv8YQcKbfUoEEKGzG2TWGljObFSVKDQIcHGBfgCLjCpIK6HFVaA2noRkgSUFCoQWDFUBWBMgMPdC45C6lkRRGvG4RfAJCcEyY5SB+Dxi6gNuZv0sHxBAX5ZgKtAhcvhAOAA4zQMaBaWEyvwiPAUORgYAF9QBIMAl5MjLAMeP4MkAiUuDuGIMwZjR24gqQCCLbvmEwRhLkyKtBGMMYgCUOoCPD4Gj19CaWFkDssXYPAHGYqcHC4nAxBtKyiChVlYT6wa4HJGbixfkCGsHPEAEqJClWXjCILICQQWaRM8PoYaP4NNBEIyg8vBY22IkZBYaWNpsQIighVWIjcfAJS4VBIqgiDiiApWlVdASAbskjlCBZBYJcLyYhVutOC3PshMuwkJgshf6oNHRSGsRNoOHSFGk4bEShtLi1VsHZUQ6VHVByNrJQCQYBEEESO6jsrl4ChwHB0SjM5hGQmJlTZ5ERvQDOKFKjJH5XJyuBwcviCDL2CNG4AgiOZpKFQuJ48NCUpCpA0JU4q7jGC5npUoAsFQAPVyAURBRbE9AC4D0ZFApwiokg119XaoSgiF9jBURYCqiAjWbEMgQPmsCKI1Eww4oMo9oHIFtQER/pAdhfYQnGIYSvjofsV2wBNworpOgNsZgE1UoSrGjMhYpbekB8uJlcoF+MIFsEuAu0CBwJr6orucAGMKfCEHGBNhl1QwVYBod0N00GsUQbRmRFUCYyICsoSALMLlkFHoAID4toIhshbTWx8JIlBSEAJjtM7KLCwnVgqX4BQElBax2DoqLYoKASYw+IIOqIgkYZMKO8BGyRcJolUjMUCBDfUyQ7GTw+W0obFQRREAlBZF1mF5A04U2ijckllYTqwAjiKnAoG1fOpRJ4vaAEOBnRwuCMIqyApQaE/OPb3hOqzaYPoRr0mstLGcWAk8DIEVJL2/y8mhqJTPiiCshCQCBY7kX1CjgvWLlyJYmIXlxCoVChwcPGiNG4IgiIhY6UVgQJGT5qzMgsQqSVK5eQmCsBZGRL8hsdKGxIogCCKHILHSxnJiJQgAV0NQleS9drjCwBUBsn8/wpxc1wmiNSPXS+BKe3CmQoW+OSiupp9CiMRKG8uJFWMA5zK4mvwF5qoAzkUoIS8UgRYFE0RrRgk5wHkluKqAM33iwzk5WJiF5cRKUQBBLISoI6CXKgACY3CU9oaT1lkRRKsm6AMEyQZBiqyv1INiwMgLiZU2lo0NSBAEkYtExUrPJ1nmzp2L4cOHo7i4GG3btsX48ePxww8/mHg2xkFiRRAEYRE+++wzTJ06FV9//TVWrFiBcDiMs846Cz6fL9umtYjlhgEJgiByGTOHAd977724vxcvXoy2bdti9erVOP3005MuJxuQWBEEQeQQqYqV1+uN2+5wOOBwOJo91uPxAADatGmj08rMQ8OABEEQOUSqc1adO3dGSUlJ7DN37txm61FVFdOnT8cpp5yCAQMGZOLU0sJ6PSsGcK6C8+TDonAOcC6Ay/VQw+mvoyAIInfhcmSpSqSd0Hksz946q127dsHtdse2t9Srmjp1KjZs2IAvvvgiNUMzjOXEShQArvqhhlveNwpXBHDFhqB3K4LBgHnGEQSRdYJBJ7jcF5yHoepc5GuAVqUsVm63O06smuPGG2/E8uXLsXLlSnTq1CklOzNN3ojVBRdcgHXr1uHgwYMoKyvD6NGj8cADD6Bjx466ylFUgAmFEGzJL6BgAsCYAIe7FxyF1LMiiNaMwy+ASU4wyQ5B5zorpmPEJmEZJjpYcM4xbdo0LF26FJ9++im6deuWiolZIW/EatSoUbj99tvRoUMH7NmzB//v//0/TJgwAV999ZW+gnhEeFgziRcbw9iRG0gqgKCdg40giFYCk6JtBIPe9baM5XZa+6lTp2LJkiV48803UVxcjP379wMASkpKUFCQfOqkbJA3YnXTTTfF/t2lSxfMnDkT48ePRzgchs1mvoIYEEWFIAiiRczsWc2fPx8AcMYZZ8RtX7RoEa666qqky8kGeSNWDfnll1/w0ksvYcSIEc0KVTAYRDB4NJZfY9fOZOGcki8ShJVI9eU0rKTfIzJ7GDBfySvX9dtuuw0ulwvl5eXYuXMn3nzzzWb3nzt3bpwrZ+fOncGh72ZSOVDrZ9SzIggLEVb0C1ZYhqFp7c0It5TPZFWsZs6c2eJF2Lx5c2z/W265BWvXrsUHH3wAURRx5ZVXNvumMGvWLHg8nthn165d4MyW9NuPygGPj0HmgA5/DIIg8hx+5CVVTVKwwjJQ42eQDJizIrHSJqvDgDfffHOL46Tdu3eP/buiogIVFRU47rjj0LdvX3Tu3Blff/01Tj75ZM1jtVZwcwDegAhBAKRmzj56s8ocKLRzcDDU1id7ZgRB5Cu19ZGMv/UqUF3LUFzIm3W0kGXAG2CQGOCw03yBWWRVrCorK1FZWZnSsdH1Dw3npJKBCwUIywwHvQyioELQSK7GASiqAI7IPl45Mtb7+XoVomCM67qiCpBVAZKQuMxk9kkHzhnCigDGAElQNB/IZPZJzwZAVkVwDthEVdObKpl90oWuR7R8uh6KKqAuGDmnOi7AFwREQdWcQFDBoKgCGDhkQUUgbNwwoJ79rUBeOFh88803WLVqFU499VSUlZVh27Zt+POf/4wePXok7FUlhDMIAofCj9xkggpBaPCwcSCsRG44KfodZ1AB2CVAEo26MTjqQ4A/bEOhTUFBozey+pCIelk88h0HdM61JYuocNQGbVC5gCKnDKFBNWGFoTZog8RUuBwyBJMeCpWrqAtI8MsSih1h2ETe4DugLiBB5sKR7wBzfgu6HlGsfj1kBWChSO+KcRWyKkBWRdhFJa4aVY20IUBEtMGgK6lrIkistMkLsSosLMQbb7yBOXPmwOfzoUOHDjjnnHNw5513thhSpDEckSgWEgNCMiCrAmwCIAmAqgKhI8+ETQIkIXIjqhxgHLDZ7YbOXdntgBRg8AVFSCqHyxlpFHwBhqDC4C7gcDkZzLxMdgB2G1Djl1AfllDi4hBYZAzeH2BwSECJi0HQsS4tJTvskflBf9iBUhuHTTo6Z8gZUO7isEl2022g63HEDgtfD6YALBDpvdoYwNTI7x9WRNglQBAAWY18GHBkW+R6KFkMt9TayQuxGjhwID7++GNDyxSEyE0WkiM3IqTI2DNHVKgMrS4hsQcwePSG8wUZXI6jD6fZ2CSgtJCjxs/g8TG4nBweP4MkINZYmo3AInV5fAw1foaSQg5fgEFWI7bpSOycFnQ9ItD1OIokAJAi7URIjsx1h+WGQmVsfSRW2uSFWJlFE8FCZoUqSuMHMpMPYpRoA1ntE1DjY5AEnrGGMUq0gaypY6jxRS5CmUvNWMMYha5HBLoeR2koWGYKFUBilQhLixVBEESuQWKlTV4tCjYaVY30qqJDfwyRtyY5w7FqfQF2dGjDweELMvgCmb0Bo+tEbCJHqUuFcmR+Itl1JkYQnRNROFDqUmETI0Nh0V5vpqDrEYGux1Fk9WiPyiZF2oyQHGlDjIbWWWljWbFqLFTSkSHBTAtW3IPoPPLJ8AMZW9B4ZE7EfmQISlYz10DGFmAfmROxSxFbJAEZbSDpekSg63GUhkJlP9JWmClYJFbaWG4YkAFQVQ6FHxEqUYXIODiPRFePzGGJkYdRVCEecV0HB7gShKqxLitV/EERvpAEl11GgU2BesQTscAGcFVEXUACV2UUOsxbaBhWGDz1dkiCgmJnGFABFYDIALcz8l1NnQp3Qdi0+RKVA956G2RVQElBCCLjsd+i2Bn5rtoX+a6hG7XR0PWIYPXrwRUG8IiXsawisq4NgF2KrGvjPHI9IEbWvIXko98Z0TzQMKA2lhMrMEDmR9ZGCHLkpuNxX8MuyggpIsKKAHAZAosIFldlcGbMa5Q/ZIM/JKLQHkSBLdwkaVuBLQzObfAF7eBcQaFdR7bIJAkrArwBJ0RBhtsRAOPx8dAkBrgdMrwBJzx+ESXOgCmLUD0BJxQVcDv9kJga91swAG5HGJ6AEx6/BLczEFnTYjB0PSLQ9QC4KgDcDuXI4mcGDruoRJZYNbgeIuOAoCKsSgjJAuyiAm6AWpFYaWM5seJcABg7MvSnffoMgP3IOqywKkXWVgmAYHNBNGB5iy/AUC8zFBVwuJxOAE7N/YptgCAy+IKFEERjPaDCMlAbivwOES8z7ej1og0Qpci6n9qQ3VCPNJUDXl9kwXVZEYdNciXct8wWGZaqDRUZ7jpN1yMCXY8IqgBwCA3WUTEICdoKSQCgAmGZIaRIhkTSILHSxpJzViLjLbqnCw3nsBRj0lUDTcfgW8KMMfrGcyItNXY2E+ZMGs+JtNTYRd2ojZ4zoesRga7HUWTlSEZxJOee3nAOS1bTb1JpzkobC4oVj8xDJUFDwVLUyE2cDnofxChGPpB6G8YoRjaQehvGKEY3kHQ9ItD1OEpYBrz1kTJsOtZRRQWLMA9LipUehAY3obc+9Qcy1QcxihEPZKoNYxQjGshUG8YoRjWQdD0i0PU4SvR6iEIkJJveDoskHJnHShPqWWljqXeBaO4rJRJWXcdxLBLUEhyH64Bih6LLC6o+JMAfFlBoU2ATVIRCei2PYBMAhyjAWy9AllUU2JM/h0gQVBESU1FgUyCnMR9daIuU9YuXo8ipJN3IRoKgipB55DfkKk/5tyiwRco6XMfoetD1AGDc9XDaVARDElQF4HrF58hvn05G3traWl0CVFtbm3Jd+QTj+ZznWCe7d+9G586ds20GQRCtnF27dqFTp066jgkEAujWrRv279+vu7727dtjx44dcDq1nVFaA5YSK1VVsXfvXhQXF1ui6+z1etG5c2fs2rULbrc72+bkHfT7pY/VfkPOOWpra9GxY0cIKQQODAQCCKXQtbTb7a1aqACLDQMKgqD7bac14Ha7LdFQmAX9fuljpd+wpKQk5WOdTmerF51UsaCDBUEQBJFvkFgRBEEQOQ+JVSvG4XBgzpw5urMpExHo90sf+g0Jo7CUgwVBEASRn1DPiiAIgsh5SKwIgiCInIfEiiAIgsh5SKwIgiCInIfEygL89NNP+OMf/4hu3bqhoKAAPXr0wJw5c1JaKW8lnnjiCXTt2hVOpxMnnngivv3222yblDfMnTsXw4cPR3FxMdq2bYvx48fjhx9+yLZZRB5DYmUBNm/eDFVV8fTTT2Pjxo145JFH8NRTT+H222/Ptmk5y6uvvooZM2Zgzpw5WLNmDQYPHoyzzz4bBw8ezLZpecFnn32GqVOn4uuvv8aKFSsQDodx1llnwefzZds0Ik8h13WL8tBDD2H+/PnYvn17tk3JSU488UQMHz4c8+bNAxCJK9m5c2dMmzYNM2fOzLJ1+cehQ4fQtm1bfPbZZzj99NOzbQ6Rh1DPyqJ4PB60adMm22bkJKFQCKtXr8bo0aNj2wRBwOjRo/Gf//wni5blLx6PBwDoniNShsTKgvz44494/PHHce2112bblJykqqoKiqKgXbt2cdvbtWuXUvoGq6OqKqZPn45TTjkFAwYMyLY5RJ5CYpXHzJw5s8UMops3b447Zs+ePTjnnHNw0UUXYfLkyVmynLASU6dOxYYNG/DKK69k2xQij7FUipDWxs0334yrrrqq2X26d+8e+/fevXsxatQojBgxAgsWLDDZuvyloqICoijiwIEDcdsPHDiA9u3bZ8mq/OTGG2/E8uXLsXLlSkum5yGMg8Qqj6msrERlZWVS++7ZswejRo3CsGHDsGjRopQSw1kFu92OYcOG4aOPPsL48eMBRIayPvroI9x4443ZNS5P4Jxj2rRpWLp0KT799FN069Yt2yYReQ6JlQXYs2cPzjjjDHTp0gV/+9vfcOjQodh31FPQZsaMGZg4cSKOP/54nHDCCXj00Ufh8/lw9dVXZ9u0vGDq1KlYsmQJ3nzzTRQXF8fm+kpKSlBQUJBl64h8hFzXLcDixYsTNrJ0+RMzb948PPTQQ9i/fz+GDBmCf/zjHzjxxBOzbVZewBjT3L5o0aIWh64JQgsSK4IgCCLnoYkLgiAIIuchsSIIgiByHhIrgiAIIuchsSIIgiByHhIrgiAIIuchsSIIgiByHhIrgiAIIuchsSIIgiByHhIrgiAIIuchsSIIgiByHhIrgiAIIuchsSKIRhw6dAjt27fH/fffH9v21VdfwW6346OPPsqiZQRhXSiQLUFo8M4772D8+PH46quv0Lt3bwwZMgTjxo3Dww8/nG3TCMKSkFgRRAKmTp2KDz/8EMcffzzWr1+PVatWweFwZNssgrAkJFYEkYD6+noMGDAAu3btwurVqzFw4MBsm0QQloXmrAgiAdu2bcPevXuhqip++umnbJtDEJaGelYEoUEoFMIJJ5yAIUOGoHfv3nj00Uexfv16tG3bNtumEYQlIbEiCA1uueUW/Otf/8J///tfFBUVYeTIkSgpKcHy5cuzbRpBWBIaBiSIRnz66ad49NFH8cILL8DtdkMQBLzwwgv4/PPPMX/+/GybRxCWhHpWBEEQRM5DPSuCIAgi5yGxIgiCIHIeEiuCIAgi5yGxIgiCIHIeEiuCIAgi5yGxIgiCIHIeEiuCIAgi5yGxIgiCIHIeEiuCIAgi5yGxIgiCIHIeEiuCIAgi5/n/uz1PzDVM8QIAAAAASUVORK5CYII=",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, ax = plt.subplots(1, figsize=(4, 4))\n",
-    "sim_final = make_adjoint_sim(final_par, beta=final_beta, unfold=True)\n",
-    "sim_final = sim_final.to_simulation()[0]\n",
-    "sim_final.plot_eps(z=0, source_alpha=0, monitor_alpha=0, ax=ax)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Once the inverse design is complete, we can visualize the field distributions and the wavelength dependent coupling efficiency."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
14:03:22 EDT Created task 'inv_des_final' with task_id                          \n",
-       "             'fdve-ef15ddf7-f3f8-4925-8752-d687f37fba09' and task_type 'FDTD'.  \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m14:03:22 EDT\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'inv_des_final'\u001b[0m with task_id                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-ef15ddf7-f3f8-4925-8752-d687f37fba09'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             View task using web UI at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef15ddf7-f3f\n",
-       "             8-4925-8752-d687f37fba09'.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=161143;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef15ddf7-f3f8-4925-8752-d687f37fba09\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=666516;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef15ddf7-f3f8-4925-8752-d687f37fba09\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=161143;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef15ddf7-f3f8-4925-8752-d687f37fba09\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=631353;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef15ddf7-f3f8-4925-8752-d687f37fba09\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=161143;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef15ddf7-f3f8-4925-8752-d687f37fba09\u001b\\\u001b[32m-ef15ddf7-f3f\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=161143;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef15ddf7-f3f8-4925-8752-d687f37fba09\u001b\\\u001b[32m8-4925-8752-d687f37fba09'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/\n",
-       "rich/live.py:231: UserWarning: install \"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/\n",
-       "rich/live.py:231: UserWarning: install \"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
14:03:25 EDT status = queued                                                    \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m14:03:25 EDT\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             To cancel the simulation, use 'web.abort(task_id)' or              \n",
-       "             'web.delete(task_id)' or abort/delete the task in the web UI.      \n",
-       "             Terminating the Python script will not stop the job running on the \n",
-       "             cloud.                                                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
-       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
-       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
14:03:29 EDT status = preprocess                                                \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m14:03:29 EDT\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
14:03:32 EDT Maximum FlexCredit cost: 0.213. Use 'web.real_cost(task_id)' to get\n",
-       "             the billed FlexCredit cost after a simulation run.                 \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m14:03:32 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.213\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get\n",
-       "\u001b[2;36m             \u001b[0mthe billed FlexCredit cost after a simulation run.                 \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             starting up solver                                                 \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             running solver                                                     \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
14:03:58 EDT early shutoff detected at 16%, exiting.                            \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m14:03:58 EDT\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m16\u001b[0m%, exiting.                            \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             status = postprocess                                               \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
14:04:00 EDT status = success                                                   \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m14:04:00 EDT\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             View simulation result at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef15ddf7-f3f\n",
-       "             8-4925-8752-d687f37fba09'.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=616720;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef15ddf7-f3f8-4925-8752-d687f37fba09\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=911319;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef15ddf7-f3f8-4925-8752-d687f37fba09\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=616720;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef15ddf7-f3f8-4925-8752-d687f37fba09\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=78268;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef15ddf7-f3f8-4925-8752-d687f37fba09\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=616720;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef15ddf7-f3f8-4925-8752-d687f37fba09\u001b\\\u001b[4;34m-ef15ddf7-f3f\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=616720;https://tidy3d.simulation.cloud/workbench?taskId=fdve-ef15ddf7-f3f8-4925-8752-d687f37fba09\u001b\\\u001b[4;34m8-4925-8752-d687f37fba09'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
14:04:02 EDT loading simulation from simulation_data.hdf5                       \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m14:04:02 EDT\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Field monitors to visualize the final fields.\n",
-    "field_xy = td.FieldMonitor(\n",
-    "    size=(td.inf, td.inf, 0),\n",
-    "    freqs=[freq],\n",
-    "    name=\"field_xy\",\n",
-    ")\n",
-    "\n",
-    "field_xz = td.FieldMonitor(\n",
-    "    size=(td.inf, 0, td.inf),\n",
-    "    freqs=[freq],\n",
-    "    name=\"field_xz\",\n",
-    ")\n",
-    "\n",
-    "# Monitor to compute the grating coupler efficiency.\n",
-    "gc_efficiency = td.ModeMonitor(\n",
-    "    center=[mon_pos_x, 0, 0],\n",
-    "    size=[0, mon_w, mon_h],\n",
-    "    freqs=freqs,\n",
-    "    mode_spec=mode_spec,\n",
-    "    name=\"gc_efficiency\",\n",
-    ")\n",
-    "\n",
-    "sim_final = sim_final.copy(update=dict(monitors=(field_xy, field_xz, gc_efficiency)))\n",
-    "sim_data_final = web.run(sim_final, task_name=\"inv_des_final\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "mode_amps = sim_data_final[\"gc_efficiency\"]\n",
-    "coeffs_f = mode_amps.amps.sel(direction=\"-\")\n",
-    "power_0 = np.abs(coeffs_f.sel(mode_index=0)) ** 2\n",
-    "power_0_db = 10 * np.log10(power_0)\n",
-    "\n",
-    "sim_plot = sim_final.updated_copy(symmetry=(0, 0, 0), monitors=(field_xy, field_xz, gc_efficiency))\n",
-    "sim_data_plot = sim_data_final.updated_copy(simulation=sim_plot)\n",
-    "\n",
-    "f, ax = plt.subplots(2, 2, figsize=(8, 6), tight_layout=True)\n",
-    "sim_plot.plot_eps(z=0, source_alpha=0, monitor_alpha=0, ax=ax[0, 1])\n",
-    "ax[1, 0].plot(wl_range, power_0_db, \"-k\")\n",
-    "ax[1, 0].set_xlabel(\"Wavelength (um)\")\n",
-    "ax[1, 0].set_ylabel(\"Power (db)\")\n",
-    "ax[1, 0].set_ylim(-15, 0)\n",
-    "ax[1, 0].set_xlim(wl - bw / 2, wl + bw / 2)\n",
-    "ax[1, 0].set_title(\"Coupling Efficiency\")\n",
-    "sim_data_plot.plot_field(\"field_xy\", \"E\", \"abs^2\", z=0, ax=ax[1, 1])\n",
-    "ax[0, 0].plot(obj_vals, \"ro\")\n",
-    "ax[0, 0].set_xlabel(\"iterations\")\n",
-    "ax[0, 0].set_ylabel(\"objective function\")\n",
-    "ax[0, 0].set_ylim(-1, 1)\n",
-    "ax[0, 0].set_title(f\"Final Objective Function Value: {obj_vals[-1]:.2f}\")\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "optimized loss of -2.38 dB\n"
-     ]
-    }
-   ],
-   "source": [
-    "loss_db = max(power_0_db)\n",
-    "print(f\"optimized loss of {loss_db:.2f} dB\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Export to GDS\n",
-    "The `Simulation` object has the [.to_gds_file](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Simulation.html#tidy3d.Simulation.to_gds_file) convenience function to export the final design to a `GDS` file. In addition to a file name, it is necessary to set a cross-sectional plane (`z = 0` in this case) on which to evaluate the geometry, a `frequency` to evaluate the permittivity, and a `permittivity_threshold` to define the shape boundaries in custom mediums. See the [GDS export](https://www.flexcompute.com/tidy3d/examples/notebooks/GDSExport/) notebook for a detailed example on using `.to_gds_file` and other GDS related functions."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sim_final.to_gds_file(\n",
-    "    fname=\"./misc/inverse_designed_gc.gds\",\n",
-    "    z=0,\n",
-    "    permittivity_threshold=(eps_max + eps_min) / 2,\n",
-    "    frequency=freq,\n",
-    ")"
-   ]
-  }
- ],
- "metadata": {
-  "description": "This notebook demonstrates the inverse design of a compact 3D grating coupler with permittivity binarization and minimum feature size control using the adjoint plugin.",
-  "feature_image": "./img/adjoint_6.png",
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "keywords": "inverse design, grating coupler, photonic integrated circuits, design optimization, adjoint, Tidy3D, FDTD",
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.7"
-  },
-  "nbdime-conflicts": {
-   "local_diff": [
-    {
-     "diff": [
-      {
-       "diff": [
-        {
-         "diff": [
-          {
-           "key": 5,
-           "op": "addrange",
-           "valuelist": "9"
-          },
-          {
-           "key": 5,
-           "length": 1,
-           "op": "removerange"
-          }
-         ],
-         "key": 0,
-         "op": "patch"
-        }
-       ],
-       "key": "version",
-       "op": "patch"
-      }
-     ],
-     "key": "language_info",
-     "op": "patch"
-    }
-   ],
-   "remote_diff": [
-    {
-     "diff": [
-      {
-       "diff": [
-        {
-         "diff": [
-          {
-           "key": 5,
-           "op": "addrange",
-           "valuelist": "12"
-          },
-          {
-           "key": 5,
-           "length": 1,
-           "op": "removerange"
-          }
-         ],
-         "key": 0,
-         "op": "patch"
-        }
-       ],
-       "key": "version",
-       "op": "patch"
-      }
-     ],
-     "key": "language_info",
-     "op": "patch"
-    }
-   ]
-  },
-  "title": "Inverse Design of a Grating Coupler in Tidy3D Using the Adjoint Plugin | Flexcompute",
-  "widgets": {
-   "application/vnd.jupyter.widget-state+json": {
-    "state": {
-     "066ae3cd7b2843d6ac0977f73d1373ff": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "1377d3a4074543dc8772ada613a50024": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_6bf536a19d7241258dd64a0053933ea1",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🏃  Finishing 'inv_des_final'...\n
\n",
-          "text/plain": "\u001b[32m🏃 \u001b[0m \u001b[1;32mFinishing 'inv_des_final'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "2ee47e11bd644b928d4e1958161923bb": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_91395efbed0d4032b01f7d69e8722e11",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ simulation.hdf5.gz ━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 77.0/77.0 kB • ? • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m77.0/77.0 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "509db80a6caf47edb14635ddd1380a94": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "699ec8475ab7423c9745a72caefeecde": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_d0b35e0ff7244f9bad5f047689ee6aef",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🚶  Starting 'inv_des_final'...\n
\n",
-          "text/plain": "\u001b[32m🚶 \u001b[0m \u001b[1;32mStarting 'inv_des_final'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "6bf536a19d7241258dd64a0053933ea1": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "7102600812d14200a8e80dc3bbb4b1b1": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_509db80a6caf47edb14635ddd1380a94",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
solver progress (field decay = 2.07e-04) ━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00\n
\n",
-          "text/plain": "solver progress (field decay = 2.07e-04) \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "91395efbed0d4032b01f7d69e8722e11": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "c2f0576e0ecd418eb80b2449d5c3a2e8": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_066ae3cd7b2843d6ac0977f73d1373ff",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━ 100.0% • 4.2/4.2 MB • 19.0 MB/s • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m4.2/4.2 MB\u001b[0m • \u001b[31m19.0 MB/s\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "d0b35e0ff7244f9bad5f047689ee6aef": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     }
-    },
-    "version_major": 2,
-    "version_minor": 0
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/AdjointPlugin7Metalens.ipynb b/AdjointPlugin7Metalens.ipynb
deleted file mode 100644
index dcefde6e..00000000
--- a/AdjointPlugin7Metalens.ipynb
+++ /dev/null
@@ -1,2474 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Inverse design optimization of a metalens\n",
-    "\n",
-    "In this notebook, we will use inverse design and the Tidy3D `adjoint` plugin to design a high numerical aperture (NA) metalens for optimal focusing to a point. This demo also introduces how to use the `adjoint` plugin for objective functions that depend on the `FieldMonitor` outputs.\n",
-    "\n",
-    "We will follow the basic set up from Mansouree et al. \"Large-Scale Parametrized Metasurface Design Using Adjoint Optimization\". The published paper can be found [here](https://pubs.acs.org/doi/abs/10.1021/acsphotonics.0c01058) and the arxiv preprint can be found [here](https://arxiv.org/abs/2101.06292).\n",
-    "\n",
-    "\"Schematic\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "\n",
-    "\n",
-    "## Setup\n",
-    "\n",
-    "We first perform basic imports of the packages needed."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:26.506739Z",
-     "iopub.status.busy": "2023-08-19T03:36:26.506470Z",
-     "iopub.status.idle": "2023-08-19T03:36:28.343725Z",
-     "shell.execute_reply": "2023-08-19T03:36:28.343097Z"
-    },
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# standard python imports\n",
-    "import jax\n",
-    "import jax.numpy as jnp\n",
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
-    "import tidy3d as td\n",
-    "import tidy3d.plugins.adjoint as tda\n",
-    "from numpy import random\n",
-    "from tidy3d import web\n",
-    "from tidy3d.plugins.adjoint.web import run as run_adj"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The metalens design consists of a rectangular array of Si rectangular prisms sitting on an SiO2 substrate.\n",
-    "\n",
-    "Here we define all of the basic parameters of the setup, including the wavelength, NA, geometrical dimensions, and material properties.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:28.346378Z",
-     "iopub.status.busy": "2023-08-19T03:36:28.346103Z",
-     "iopub.status.idle": "2023-08-19T03:36:28.369227Z",
-     "shell.execute_reply": "2023-08-19T03:36:28.368625Z"
-    },
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "for diameter of 6.0 um, have 18 cells per side\n",
-      "full metalens has area of 36.0 um^2 and 324 total cells\n"
-     ]
-    }
-   ],
-   "source": [
-    "# 1 nanometer in units of microns (for conversion)\n",
-    "nm = 1e-3\n",
-    "\n",
-    "# free space central wavelength\n",
-    "wavelength = 850 * nm\n",
-    "\n",
-    "# desired numerical aperture\n",
-    "NA = 0.94\n",
-    "\n",
-    "# shape parameters of metalens unit cell (um) (refer to image above and see paper for details)\n",
-    "H = 430 * nm\n",
-    "S = 320 * nm\n",
-    "\n",
-    "# space between bottom PML and substrate (-z)\n",
-    "space_below_sub = 1 * wavelength\n",
-    "\n",
-    "# thickness of substrate between source and Si unit cells\n",
-    "thickness_sub = 100 * nm\n",
-    "\n",
-    "# side length of entire metalens (um)\n",
-    "side_length = 6\n",
-    "\n",
-    "# Number of unit cells in each x and y direction (NxN grid)\n",
-    "N = int(side_length / S)\n",
-    "\n",
-    "print(f\"for diameter of {side_length:.1f} um, have {N} cells per side\")\n",
-    "print(f\"full metalens has area of {side_length**2:.1f} um^2 and {N * N} total cells\")\n",
-    "\n",
-    "# Define material properties at 600 nm\n",
-    "n_Si = 3.84\n",
-    "n_SiO2 = 1.46\n",
-    "air = td.Medium(permittivity=1.0)\n",
-    "SiO2 = td.Medium(permittivity=n_SiO2**2)\n",
-    "Si = td.Medium(permittivity=n_Si**2)\n",
-    "\n",
-    "# define symmetry\n",
-    "symmetry = (-1, 1, 0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Next, we will compute some important quantities derived from these parameters."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:28.371454Z",
-     "iopub.status.busy": "2023-08-19T03:36:28.371257Z",
-     "iopub.status.idle": "2023-08-19T03:36:28.396257Z",
-     "shell.execute_reply": "2023-08-19T03:36:28.395630Z"
-    },
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# using the wavelength in microns, one can use td.C_0 (um/s) to get frequency in Hz\n",
-    "# wavelength_meters = wavelength * meters\n",
-    "f0 = td.C_0 / wavelength\n",
-    "\n",
-    "# Compute the domain size in x, y (note: round down from side_length)\n",
-    "length_xy = N * S\n",
-    "\n",
-    "# focal length given diameter and numerical aperture\n",
-    "focal_length = length_xy / 2 / NA * np.sqrt(1 - NA**2)\n",
-    "\n",
-    "# total domain size in z: (space -> substrate -> unit cell -> 1.7 focal lengths)\n",
-    "length_z = space_below_sub + thickness_sub + H + 1.7 * focal_length\n",
-    "\n",
-    "# construct simulation size array\n",
-    "sim_size = (length_xy, length_xy, length_z)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Create Metalens Geometry\n",
-    "\n",
-    "Now we will define the structures in our simulation. We will first generate the substrate as a regular `td.Box`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:28.399033Z",
-     "iopub.status.busy": "2023-08-19T03:36:28.398796Z",
-     "iopub.status.idle": "2023-08-19T03:36:28.426601Z",
-     "shell.execute_reply": "2023-08-19T03:36:28.425142Z"
-    },
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# define substrate\n",
-    "substrate = td.Structure(\n",
-    "    geometry=td.Box.from_bounds(\n",
-    "        rmin=(-td.inf, -td.inf, -1000),\n",
-    "        rmax=(+td.inf, +td.inf, -length_z / 2 + space_below_sub + thickness_sub),\n",
-    "    ),\n",
-    "    medium=SiO2,\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Next, we will write a function to make a list of `JaxStructure` objects corresponding to each unit cell.\n",
-    "\n",
-    "> Note that the adjoint plugin does not yet support `GeometryGroup` for `JaxBox`, so we will keep them as individual `JaxStructure` objects for now."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:28.429393Z",
-     "iopub.status.busy": "2023-08-19T03:36:28.429213Z",
-     "iopub.status.idle": "2023-08-19T03:36:28.792709Z",
-     "shell.execute_reply": "2023-08-19T03:36:28.791587Z"
-    },
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "No GPU/TPU found, falling back to CPU. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n"
-     ]
-    }
-   ],
-   "source": [
-    "# define coordinates of each unit cell\n",
-    "centers_x = S * np.arange(N) - length_xy / 2.0 + S / 2.0\n",
-    "centers_y = S * np.arange(N) - length_xy / 2.0 + S / 2.0\n",
-    "center_z = -length_z / 2 + space_below_sub + thickness_sub + H / 2.0\n",
-    "\n",
-    "focal_z = center_z + H / 2 + focal_length\n",
-    "\n",
-    "\n",
-    "x_centers, y_centers = np.meshgrid(centers_x, centers_y, indexing=\"ij\")\n",
-    "xs = x_centers.flatten()\n",
-    "ys = y_centers.flatten()\n",
-    "\n",
-    "\n",
-    "def get_sizes(params):\n",
-    "    \"\"\"Returns the actual side lengths of the boxes as a function of design parameters from (-inf, +inf).\"\"\"\n",
-    "    return S * (jnp.tanh(params) + 1.0) / 2.0\n",
-    "\n",
-    "\n",
-    "# initially, start with parameters of 0 (all boxes have side length S/2)\n",
-    "params0 = 0 * np.ones(x_centers.shape)\n",
-    "\n",
-    "\n",
-    "def make_structures(params, apply_symmetry: bool = True):\n",
-    "    \"\"\"Make the JaxStructure objects that will be used as .input_structures.\"\"\"\n",
-    "\n",
-    "    sizes = get_sizes(params)\n",
-    "    nx, ny = sizes.shape\n",
-    "    geometries = []\n",
-    "\n",
-    "    for i in range(nx):\n",
-    "        i_quad = max(i, nx - 1 - i)\n",
-    "        for j in range(ny):\n",
-    "            j_quad = max(j, ny - 1 - j)\n",
-    "            size = sizes[i_quad, j_quad]\n",
-    "            x0 = x_centers[i, j]\n",
-    "            y0 = y_centers[i, j]\n",
-    "\n",
-    "            if apply_symmetry and symmetry[0] != 0 and x0 < -S / 2:\n",
-    "                continue\n",
-    "\n",
-    "            if apply_symmetry and symmetry[1] != 0 and y0 < -S / 2:\n",
-    "                continue\n",
-    "\n",
-    "            geometry = tda.JaxBox(center=(x0, y0, center_z), size=(size, size, H))\n",
-    "\n",
-    "            geometries.append(geometry)\n",
-    "    medium = tda.JaxMedium(permittivity=n_Si**2)\n",
-    "    return [tda.JaxStructure(medium=medium, geometry=geo) for geo in geometries]\n",
-    "\n",
-    "\n",
-    "structures = make_structures(params0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Define grid specification\n",
-    "\n",
-    "We define the grid based on the properties of the geometry. The metalens is quasi-periodic in x and y, in that we have clearly defined unit cells, but each is slightly modified from its neighbors. Such structures are best resolved with a grid that matches the periodicity, which is why we use a uniform grid in x and y. In z, we use the automatic nonuniform grid that will place a higher grid density around the metalens region, and a lower one in the air region away from the metalens. To speed up the auto meshing in the region with the pillars, we put an override box in the grid specification."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:28.795984Z",
-     "iopub.status.busy": "2023-08-19T03:36:28.795510Z",
-     "iopub.status.idle": "2023-08-19T03:36:28.828796Z",
-     "shell.execute_reply": "2023-08-19T03:36:28.828262Z"
-    },
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# steps per unit cell along x and y\n",
-    "grids_per_unit_length = 10\n",
-    "\n",
-    "# uniform mesh in x and y\n",
-    "grid_x = td.UniformGrid(dl=S / grids_per_unit_length)\n",
-    "grid_y = td.UniformGrid(dl=S / grids_per_unit_length)\n",
-    "\n",
-    "# in z, use an automatic nonuniform mesh with the wavelength being the \"unit length\"\n",
-    "grid_z = td.AutoGrid(min_steps_per_wvl=grids_per_unit_length)\n",
-    "\n",
-    "# we need to supply the wavelength because of the automatic mesh in z\n",
-    "grid_spec = td.GridSpec(wavelength=wavelength, grid_x=grid_x, grid_y=grid_y, grid_z=grid_z)\n",
-    "\n",
-    "# put an override box over the pillars to avoid parsing a large amount of structures in the mesher\n",
-    "grid_spec = grid_spec.copy(\n",
-    "    update=dict(\n",
-    "        override_structures=[\n",
-    "            td.Structure(\n",
-    "                geometry=td.Box.from_bounds(\n",
-    "                    rmin=(-td.inf, -td.inf, -length_z / 2 + space_below_sub),\n",
-    "                    rmax=(td.inf, td.inf, center_z + H / 2),\n",
-    "                ),\n",
-    "                medium=Si,\n",
-    "            )\n",
-    "        ]\n",
-    "    )\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Define Source\n",
-    "\n",
-    "Now we define the incident fields.  We simply use an x-polarized, normally incident plane wave with Gaussian time dependence centered at our central frequency.  For more details, see the [plane wave source documentation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.PlaneWave.html#tidy3d-planewave) and the [gaussian source documentation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.GaussianPulse.html#tidy3d-gaussianpulse)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:28.831433Z",
-     "iopub.status.busy": "2023-08-19T03:36:28.831223Z",
-     "iopub.status.idle": "2023-08-19T03:36:28.857655Z",
-     "shell.execute_reply": "2023-08-19T03:36:28.856805Z"
-    },
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# Bandwidth in Hz\n",
-    "fwidth = f0 / 10.0\n",
-    "\n",
-    "# time dependence of source\n",
-    "gaussian = td.GaussianPulse(freq0=f0, fwidth=fwidth, phase=0)\n",
-    "\n",
-    "source = td.PlaneWave(\n",
-    "    source_time=gaussian,\n",
-    "    size=(td.inf, td.inf, 0),\n",
-    "    center=(0, 0, -length_z / 2 + space_below_sub / 10.0),\n",
-    "    direction=\"+\",\n",
-    "    pol_angle=0,\n",
-    ")\n",
-    "\n",
-    "run_time = 50 / fwidth"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Define Monitors\n",
-    "\n",
-    "Now we define the monitor that measures field output from the FDTD simulation.  For simplicity, we use measure the fields at the central frequency at the focal spot.\n",
-    "\n",
-    "This will be the monitor that we use in our objective function, so it will go into `JaxSimulation.output_monitors`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:28.862048Z",
-     "iopub.status.busy": "2023-08-19T03:36:28.861617Z",
-     "iopub.status.idle": "2023-08-19T03:36:29.103638Z",
-     "shell.execute_reply": "2023-08-19T03:36:29.103119Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "# To decrease the amount of data stored, only store the E fields\n",
-    "fields = [\"Ex\", \"Ey\", \"Ez\"]\n",
-    "\n",
-    "monitor_focal = td.FieldMonitor(\n",
-    "    center=[0.0, 0.0, focal_z],\n",
-    "    size=[0, 0, 0],\n",
-    "    freqs=[f0],\n",
-    "    name=\"focal_point\",\n",
-    "    fields=fields,\n",
-    "    colocate=False,\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Create Simulation\n",
-    "\n",
-    "Now we can put everything together and define a [JaxSimulation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.adjoint.JaxSimulation.html) object to be run.\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We get a number of warnings about structures being too close to the PML. In FDTD simulations, this can result in instability, as PML are absorbing for propagating fields, but can be amplifying for evanescent fields. This particular simulation runs without any issues even with PML on the sides, but it is best to heed these warnings to avoid problems. There are two ways that we can fix the simulation: one is to just put some space between the last of the metalens boxes and the PML. The other is to use adiabatic absorbers on the sides, which are always stable. The only downside of the absorbers is that they are slightly thicker than the PML, making the overall simulation size slightly larger. This is why we only put them along x and y, while we leave the PML in z.\n",
-    "\n",
-    "> Note: we add symmetry of (-1, 1, 0) to speed up the simulation by approximately 4x taking into account the symmetry in our source and dielectric function."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:29.106084Z",
-     "iopub.status.busy": "2023-08-19T03:36:29.105876Z",
-     "iopub.status.idle": "2023-08-19T03:36:29.715014Z",
-     "shell.execute_reply": "2023-08-19T03:36:29.714183Z"
-    },
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
[20:38:51] WARNING: Override structures take no effect along    grid_spec.py:555\n",
-       "           x-axis. If intending to apply override structures to                 \n",
-       "           this axis, use 'AutoGrid'.                                           \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[20:38:51]\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Override structures take no effect along   \u001b[0m \u001b]8;id=691081;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=950426;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py#555\u001b\\\u001b[2m555\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mx-axis. If intending to apply override structures to\u001b[0m \u001b[2m                \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mthis axis, use \u001b[0m\u001b[32m'AutoGrid'\u001b[0m\u001b[31m.                          \u001b[0m \u001b[2m                \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           WARNING: Override structures take no effect along    grid_spec.py:555\n",
-       "           y-axis. If intending to apply override structures to                 \n",
-       "           this axis, use 'AutoGrid'.                                           \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Override structures take no effect along   \u001b[0m \u001b]8;id=631222;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=453319;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py#555\u001b\\\u001b[2m555\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31my-axis. If intending to apply override structures to\u001b[0m \u001b[2m                \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mthis axis, use \u001b[0m\u001b[32m'AutoGrid'\u001b[0m\u001b[31m.                          \u001b[0m \u001b[2m                \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "def make_sim(angles, apply_symmetry: bool = True):\n",
-    "    metalens = make_structures(angles, apply_symmetry=apply_symmetry)\n",
-    "    sim = tda.JaxSimulation(\n",
-    "        size=sim_size,\n",
-    "        grid_spec=grid_spec,\n",
-    "        structures=[substrate],\n",
-    "        input_structures=metalens,\n",
-    "        sources=[source],\n",
-    "        monitors=[],\n",
-    "        output_monitors=[monitor_focal],\n",
-    "        run_time=run_time,\n",
-    "        boundary_spec=td.BoundarySpec(\n",
-    "            x=td.Boundary.absorber(), y=td.Boundary.absorber(), z=td.Boundary.pml()\n",
-    "        ),\n",
-    "        symmetry=symmetry,\n",
-    "    )\n",
-    "    return sim\n",
-    "\n",
-    "\n",
-    "sim = make_sim(params0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The warnings are just letting us know that we are using uniform grid along x and y (per our spec) even though the override structures have some extent in these dimensions. We can ignore as this is intended."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Visualize Geometry\n",
-    "\n",
-    "Lets take a look and make sure everything is defined properly.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
           WARNING: Override structures take no effect along    grid_spec.py:555\n",
-       "           x-axis. If intending to apply override structures to                 \n",
-       "           this axis, use 'AutoGrid'.                                           \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Override structures take no effect along   \u001b[0m \u001b]8;id=950010;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=320445;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py#555\u001b\\\u001b[2m555\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mx-axis. If intending to apply override structures to\u001b[0m \u001b[2m                \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mthis axis, use \u001b[0m\u001b[32m'AutoGrid'\u001b[0m\u001b[31m.                          \u001b[0m \u001b[2m                \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           WARNING: Override structures take no effect along    grid_spec.py:555\n",
-       "           y-axis. If intending to apply override structures to                 \n",
-       "           this axis, use 'AutoGrid'.                                           \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Override structures take no effect along   \u001b[0m \u001b]8;id=916929;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=988817;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py#555\u001b\\\u001b[2m555\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31my-axis. If intending to apply override structures to\u001b[0m \u001b[2m                \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mthis axis, use \u001b[0m\u001b[32m'AutoGrid'\u001b[0m\u001b[31m.                          \u001b[0m \u001b[2m                \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           WARNING: Override structures take no effect along    grid_spec.py:555\n",
-       "           x-axis. If intending to apply override structures to                 \n",
-       "           this axis, use 'AutoGrid'.                                           \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Override structures take no effect along   \u001b[0m \u001b]8;id=875009;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=490146;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py#555\u001b\\\u001b[2m555\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mx-axis. If intending to apply override structures to\u001b[0m \u001b[2m                \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mthis axis, use \u001b[0m\u001b[32m'AutoGrid'\u001b[0m\u001b[31m.                          \u001b[0m \u001b[2m                \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           WARNING: Override structures take no effect along    grid_spec.py:555\n",
-       "           y-axis. If intending to apply override structures to                 \n",
-       "           this axis, use 'AutoGrid'.                                           \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Override structures take no effect along   \u001b[0m \u001b]8;id=464190;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=522801;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py#555\u001b\\\u001b[2m555\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31my-axis. If intending to apply override structures to\u001b[0m \u001b[2m                \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mthis axis, use \u001b[0m\u001b[32m'AutoGrid'\u001b[0m\u001b[31m.                          \u001b[0m \u001b[2m                \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           WARNING: Override structures take no effect along    grid_spec.py:555\n",
-       "           x-axis. If intending to apply override structures to                 \n",
-       "           this axis, use 'AutoGrid'.                                           \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Override structures take no effect along   \u001b[0m \u001b]8;id=425266;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=728338;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py#555\u001b\\\u001b[2m555\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mx-axis. If intending to apply override structures to\u001b[0m \u001b[2m                \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mthis axis, use \u001b[0m\u001b[32m'AutoGrid'\u001b[0m\u001b[31m.                          \u001b[0m \u001b[2m                \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           WARNING: Override structures take no effect along    grid_spec.py:555\n",
-       "           y-axis. If intending to apply override structures to                 \n",
-       "           this axis, use 'AutoGrid'.                                           \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Override structures take no effect along   \u001b[0m \u001b]8;id=133106;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=827272;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py#555\u001b\\\u001b[2m555\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31my-axis. If intending to apply override structures to\u001b[0m \u001b[2m                \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mthis axis, use \u001b[0m\u001b[32m'AutoGrid'\u001b[0m\u001b[31m.                          \u001b[0m \u001b[2m                \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           WARNING: Override structures take no effect along    grid_spec.py:555\n",
-       "           x-axis. If intending to apply override structures to                 \n",
-       "           this axis, use 'AutoGrid'.                                           \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Override structures take no effect along   \u001b[0m \u001b]8;id=874587;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=80363;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py#555\u001b\\\u001b[2m555\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mx-axis. If intending to apply override structures to\u001b[0m \u001b[2m                \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mthis axis, use \u001b[0m\u001b[32m'AutoGrid'\u001b[0m\u001b[31m.                          \u001b[0m \u001b[2m                \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[20:38:52] WARNING: Override structures take no effect along    grid_spec.py:555\n",
-       "           y-axis. If intending to apply override structures to                 \n",
-       "           this axis, use 'AutoGrid'.                                           \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[20:38:52]\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Override structures take no effect along   \u001b[0m \u001b]8;id=898787;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=264049;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py#555\u001b\\\u001b[2m555\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31my-axis. If intending to apply override structures to\u001b[0m \u001b[2m                \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mthis axis, use \u001b[0m\u001b[32m'AutoGrid'\u001b[0m\u001b[31m.                          \u001b[0m \u001b[2m                \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           WARNING: Override structures take no effect along    grid_spec.py:555\n",
-       "           x-axis. If intending to apply override structures to                 \n",
-       "           this axis, use 'AutoGrid'.                                           \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Override structures take no effect along   \u001b[0m \u001b]8;id=331177;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=396481;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py#555\u001b\\\u001b[2m555\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mx-axis. If intending to apply override structures to\u001b[0m \u001b[2m                \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mthis axis, use \u001b[0m\u001b[32m'AutoGrid'\u001b[0m\u001b[31m.                          \u001b[0m \u001b[2m                \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           WARNING: Override structures take no effect along    grid_spec.py:555\n",
-       "           y-axis. If intending to apply override structures to                 \n",
-       "           this axis, use 'AutoGrid'.                                           \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Override structures take no effect along   \u001b[0m \u001b]8;id=622284;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=909390;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py#555\u001b\\\u001b[2m555\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31my-axis. If intending to apply override structures to\u001b[0m \u001b[2m                \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mthis axis, use \u001b[0m\u001b[32m'AutoGrid'\u001b[0m\u001b[31m.                          \u001b[0m \u001b[2m                \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           WARNING: Override structures take no effect along    grid_spec.py:555\n",
-       "           x-axis. If intending to apply override structures to                 \n",
-       "           this axis, use 'AutoGrid'.                                           \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Override structures take no effect along   \u001b[0m \u001b]8;id=113968;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=829402;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py#555\u001b\\\u001b[2m555\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mx-axis. If intending to apply override structures to\u001b[0m \u001b[2m                \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mthis axis, use \u001b[0m\u001b[32m'AutoGrid'\u001b[0m\u001b[31m.                          \u001b[0m \u001b[2m                \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           WARNING: Override structures take no effect along    grid_spec.py:555\n",
-       "           y-axis. If intending to apply override structures to                 \n",
-       "           this axis, use 'AutoGrid'.                                           \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Override structures take no effect along   \u001b[0m \u001b]8;id=453090;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=640490;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/components/grid/grid_spec.py#555\u001b\\\u001b[2m555\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31my-axis. If intending to apply override structures to\u001b[0m \u001b[2m                \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0m\u001b[31mthis axis, use \u001b[0m\u001b[32m'AutoGrid'\u001b[0m\u001b[31m.                          \u001b[0m \u001b[2m                \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(14, 6))\n",
-    "\n",
-    "sim.plot(x=0.1, ax=ax1)\n",
-    "sim.plot(y=0.1, ax=ax2)\n",
-    "sim.plot(z=-length_z / 2 + space_below_sub + thickness_sub + H / 2, ax=ax3)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Objective Function\n",
-    "\n",
-    "Now that our simulation is set up, we can define our objective function over the `JaxSimulationData` results.\n",
-    "\n",
-    "We first write a function to take a `JaxSimulationData` object and return the intensity at the focal point.\n",
-    "\n",
-    "Next, we write a function to \n",
-    "\n",
-    "1. Set up our simulation given our design parameters.\n",
-    "\n",
-    "2. Run the simulation through the adjoint `run` function.\n",
-    "\n",
-    "3. Compute and return the intensity at the focal point.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# turn off warnings as we understand they are just about AutoGrid and can be ignored in our case\n",
-    "td.config.logging_level = \"ERROR\"\n",
-    "\n",
-    "\n",
-    "def measure_focal_intensity(sim_data: tda.JaxSimulationData) -> float:\n",
-    "    \"\"\"Measures electric intensity at focal point.\"\"\"\n",
-    "    return jnp.sum(sim_data.get_intensity(\"focal_point\").values)\n",
-    "\n",
-    "\n",
-    "def J(params) -> float:\n",
-    "    \"\"\"Objective function, returns intensity at focal point as a function of params.\"\"\"\n",
-    "    sim = make_sim(params)\n",
-    "    sim_data = run_adj(sim, task_name=\"metalens_adj\", verbose=False)\n",
-    "    return measure_focal_intensity(sim_data)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We first run our function to test that it works and see the starting value."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Array(11.112829, dtype=float32)"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "J(params0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Next, we use `jax` to get a function returning the objective value and its gradient, given some parameters."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "dJ = jax.value_and_grad(J)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "And try it out."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "val, grad = dJ(params0)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "11.112829\n",
-      "[[ 0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          0.          0.          0.        ]\n",
-      " [ 0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          0.          0.          0.        ]\n",
-      " [ 0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          0.          0.          0.        ]\n",
-      " [ 0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          0.          0.          0.        ]\n",
-      " [ 0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          0.          0.          0.        ]\n",
-      " [ 0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          0.          0.          0.        ]\n",
-      " [ 0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          0.          0.          0.        ]\n",
-      " [ 0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          0.          0.          0.        ]\n",
-      " [ 0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          0.          0.          0.        ]\n",
-      " [ 0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          8.052231    1.5407639  -2.633849\n",
-      "  -1.7117175   1.5994252   0.37416115 -1.1727542   0.6812252   0.05781552]\n",
-      " [ 0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          1.170242   -0.38775107 -1.3131913\n",
-      "  -0.13359495  0.8831538  -0.1225284  -0.49174562  0.42683142 -0.06464756]\n",
-      " [ 0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.         -1.4127594  -0.9652585  -0.50624955\n",
-      "   0.6102758   0.50805783 -0.4469478  -0.17206581  0.43278244 -0.22273514]\n",
-      " [ 0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.         -0.7552655  -0.19202262  0.47696215\n",
-      "   0.4672531  -0.21933757 -0.3337388   0.23176189  0.20692322 -0.3084491 ]\n",
-      " [ 0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          0.6831305   0.33028147  0.37160286\n",
-      "  -0.21041775 -0.41866505  0.13355729  0.28937018 -0.13324808 -0.16658844]\n",
-      " [ 0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          0.11585653 -0.07828572 -0.16567144\n",
-      "  -0.2921306   0.05472778  0.24623685 -0.02784408 -0.21342102  0.09299421]\n",
-      " [ 0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.         -0.3484568  -0.17058687 -0.03697217\n",
-      "   0.09520242  0.26396352 -0.07381138 -0.20417789  0.02290697  0.15813121]\n",
-      " [ 0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          0.1712473   0.10132807  0.15602311\n",
-      "   0.08441953 -0.0273253  -0.17447795  0.01955975  0.12130421 -0.02494766]\n",
-      " [ 0.          0.          0.          0.          0.          0.\n",
-      "   0.          0.          0.          0.08062559  0.01353269 -0.03312859\n",
-      "  -0.09126864 -0.07907826  0.02552689  0.10252865 -0.02282601 -0.07314368]]\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(val)\n",
-    "print(grad)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Normalize Objective\n",
-    "\n",
-    "To normalize our objective function value to something more understandable, we first run a simulation with no boxes to compute the focal point intensity in this case. Then, we construct a new objective function value that normalizes the raw intensity by this value, giving us an \"intensity enhancement\" factor. In this normalization, if our objective is given by \"x\", it means that the intensity at the focal point is \"x\" times stronger with our design than with no structures at all."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.8701368\n"
-     ]
-    }
-   ],
-   "source": [
-    "params_empty = -1e5 * np.ones_like(params0)\n",
-    "J_empty = np.array(J(params_empty))\n",
-    "\n",
-    "\n",
-    "def J_normalized(params):\n",
-    "    return J(params) / J_empty\n",
-    "\n",
-    "\n",
-    "val_normalized = val / J_empty\n",
-    "\n",
-    "dJ_normalized = jax.value_and_grad(J_normalized)\n",
-    "\n",
-    "print(val_normalized)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Optimization\n",
-    "\n",
-    "With our objective function set up, we can now run the optimization.\n",
-    "\n",
-    "As before, we will `optax`'s \"adam\" optimization with initial parameters of all zeros (corresponding to boxes of side length `S/2`)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "step = 1\n",
-      "\tJ = 8.7014e-01\n",
-      "\tgrad_norm = 7.5746e-01\n",
-      "step = 2\n",
-      "\tJ = 1.9787e+00\n",
-      "\tgrad_norm = 1.0905e+00\n",
-      "step = 3\n",
-      "\tJ = 4.7533e+00\n",
-      "\tgrad_norm = 1.5273e+00\n",
-      "step = 4\n",
-      "\tJ = 7.5140e+00\n",
-      "\tgrad_norm = 1.8209e+00\n",
-      "step = 5\n",
-      "\tJ = 1.3054e+01\n",
-      "\tgrad_norm = 2.8733e+00\n",
-      "step = 6\n",
-      "\tJ = 2.0436e+01\n",
-      "\tgrad_norm = 3.2374e+00\n",
-      "step = 7\n",
-      "\tJ = 2.7075e+01\n",
-      "\tgrad_norm = 2.9542e+00\n",
-      "step = 8\n",
-      "\tJ = 3.1865e+01\n",
-      "\tgrad_norm = 2.3616e+00\n",
-      "step = 9\n",
-      "\tJ = 3.2881e+01\n",
-      "\tgrad_norm = 3.0067e+00\n",
-      "step = 10\n",
-      "\tJ = 3.6570e+01\n",
-      "\tgrad_norm = 2.5087e+00\n",
-      "step = 11\n",
-      "\tJ = 3.9969e+01\n",
-      "\tgrad_norm = 2.7586e+00\n",
-      "step = 12\n",
-      "\tJ = 4.2636e+01\n",
-      "\tgrad_norm = 2.6617e+00\n",
-      "step = 13\n",
-      "\tJ = 4.3821e+01\n",
-      "\tgrad_norm = 2.7791e+00\n",
-      "step = 14\n",
-      "\tJ = 4.5719e+01\n",
-      "\tgrad_norm = 2.6449e+00\n",
-      "step = 15\n",
-      "\tJ = 4.7921e+01\n",
-      "\tgrad_norm = 2.1662e+00\n",
-      "step = 16\n",
-      "\tJ = 4.8882e+01\n",
-      "\tgrad_norm = 2.0180e+00\n",
-      "step = 17\n",
-      "\tJ = 4.8722e+01\n",
-      "\tgrad_norm = 2.4410e+00\n",
-      "step = 18\n",
-      "\tJ = 4.9012e+01\n",
-      "\tgrad_norm = 2.9489e+00\n"
-     ]
-    }
-   ],
-   "source": [
-    "import optax\n",
-    "\n",
-    "# hyperparameters\n",
-    "num_steps = 18\n",
-    "learning_rate = 0.02\n",
-    "\n",
-    "# initialize adam optimizer with starting parameters\n",
-    "params = np.array(params0)\n",
-    "optimizer = optax.adam(learning_rate=learning_rate)\n",
-    "opt_state = optimizer.init(params)\n",
-    "\n",
-    "# store history\n",
-    "J_history = [val_normalized]\n",
-    "params_history = [params0]\n",
-    "\n",
-    "for i in range(num_steps):\n",
-    "    # compute gradient and current objective function value\n",
-    "    value, gradient = dJ_normalized(params)\n",
-    "\n",
-    "    # outputs\n",
-    "    print(f\"step = {i + 1}\")\n",
-    "    print(f\"\\tJ = {value:.4e}\")\n",
-    "    print(f\"\\tgrad_norm = {np.linalg.norm(gradient):.4e}\")\n",
-    "\n",
-    "    # compute and apply updates to the optimizer based on gradient (-1 sign to maximize obj_fn)\n",
-    "    updates, opt_state = optimizer.update(-gradient, opt_state, params)\n",
-    "    params = optax.apply_updates(params, updates)\n",
-    "\n",
-    "    # save history\n",
-    "    J_history.append(value)\n",
-    "    params_history.append(params)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "params_after = params_history[-1]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.plot(J_history)\n",
-    "plt.xlabel(\"iterations\")\n",
-    "plt.ylabel(\"objective function (focusing intensity enhancement)\")\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sim_before = make_sim(0 * params_after, apply_symmetry=False).to_simulation()[0]\n",
-    "sim_after = make_sim(params_after, apply_symmetry=False).to_simulation()[0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "f, (ax1, ax2) = plt.subplots(1, 2)\n",
-    "\n",
-    "sim_before.plot(z=center_z, ax=ax1)\n",
-    "sim_after.plot(z=center_z, ax=ax2)\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sim_after_mnt = sim_after.updated_copy(\n",
-    "    monitors=list(sim_after.monitors)\n",
-    "    + [\n",
-    "        td.FieldMonitor(\n",
-    "            size=(0, td.inf, td.inf),\n",
-    "            center=(0, 0, 0),\n",
-    "            freqs=[f0],\n",
-    "            name=\"fields_yz\",\n",
-    "        ),\n",
-    "        td.FieldMonitor(\n",
-    "            size=(td.inf, td.inf, 0),\n",
-    "            center=(0, 0, focal_z),\n",
-    "            freqs=[f0],\n",
-    "            name=\"far_field\",\n",
-    "        ),\n",
-    "    ]\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
[21:11:10] Created task 'meta_near_field_after' with task_id       webapi.py:188\n",
-       "           'fdve-f56dc12f-663c-43ca-85f5-32f01b3062e7v1'.                       \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[21:11:10]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'meta_near_field_after'\u001b[0m with task_id       \u001b]8;id=330946;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=598583;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py#188\u001b\\\u001b[2m188\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-f56dc12f-663c-43ca-85f5-32f01b3062e7v1'\u001b[0m.          \u001b[2m             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           View task using web UI at 'https://tidy3d.simulation.cl webapi.py:190\n",
-       "           oud/workbench?taskId=fdve-f56dc12f-663c-43ca-85f5-32f01              \n",
-       "           b3062e7v1'.                                                          \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at \u001b]8;id=260043;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f56dc12f-663c-43ca-85f5-32f01b3062e7v1\u001b\\\u001b[32m'https://tidy3d.simulation.cl\u001b[0m\u001b]8;;\u001b\\ \u001b]8;id=32844;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=392722;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py#190\u001b\\\u001b[2m190\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b]8;id=260043;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f56dc12f-663c-43ca-85f5-32f01b3062e7v1\u001b\\\u001b[32moud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=912680;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f56dc12f-663c-43ca-85f5-32f01b3062e7v1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=260043;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f56dc12f-663c-43ca-85f5-32f01b3062e7v1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=912680;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f56dc12f-663c-43ca-85f5-32f01b3062e7v1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=260043;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f56dc12f-663c-43ca-85f5-32f01b3062e7v1\u001b\\\u001b[32m-f56dc12f-663c-43ca-85f5-32f01\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0m\u001b]8;id=260043;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f56dc12f-663c-43ca-85f5-32f01b3062e7v1\u001b\\\u001b[32mb3062e7v1'\u001b[0m\u001b]8;;\u001b\\.                                             \u001b[2m             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "dd506158944f4f0dbc0fd01b7ba00edf",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[21:11:11] status = queued                                         webapi.py:361\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[21:11:11]\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                         \u001b]8;id=895032;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=197946;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py#361\u001b\\\u001b[2m361\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[21:11:20] status = preprocess                                     webapi.py:355\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[21:11:20]\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                     \u001b]8;id=705967;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=86178;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py#355\u001b\\\u001b[2m355\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[21:11:24] Maximum FlexCredit cost: 0.025. Use                     webapi.py:341\n",
-       "           'web.real_cost(task_id)' to get the billed FlexCredit                \n",
-       "           cost after a simulation run.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[21:11:24]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use                     \u001b]8;id=65467;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=546477;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py#341\u001b\\\u001b[2m341\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit   \u001b[2m             \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0mcost after a simulation run.                            \u001b[2m             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           starting up solver                                      webapi.py:377\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                      \u001b]8;id=440173;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=409697;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py#377\u001b\\\u001b[2m377\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           running solver                                          webapi.py:386\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                          \u001b]8;id=974698;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=53756;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py#386\u001b\\\u001b[2m386\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           To cancel the simulation, use 'web.abort(task_id)' or   webapi.py:387\n",
-       "           'web.delete(task_id)' or abort/delete the task in the                \n",
-       "           web UI. Terminating the Python script will not stop the              \n",
-       "           job running on the cloud.                                            \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or   \u001b]8;id=971038;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=738490;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py#387\u001b\\\u001b[2m387\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m           \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the   \u001b[2m             \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0mweb UI. Terminating the Python script will not stop the \u001b[2m             \u001b[0m\n",
-       "\u001b[2;36m           \u001b[0mjob running on the cloud.                               \u001b[2m             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "103e5e5eb7ce47a890ef2ceecf36e890",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[21:11:34] early shutoff detected, exiting.                        webapi.py:404\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[21:11:34]\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected, exiting.                        \u001b]8;id=857352;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=749118;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py#404\u001b\\\u001b[2m404\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
           status = postprocess                                    webapi.py:419\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                    \u001b]8;id=94457;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=906019;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py#419\u001b\\\u001b[2m419\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[21:11:38] status = success                                        webapi.py:426\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[21:11:38]\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                        \u001b]8;id=593268;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=9455;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py#426\u001b\\\u001b[2m426\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "df91e93714c94252aeeb6fd0f8258546",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
[21:11:44] loading SimulationData from simulation_data.hdf5        webapi.py:590\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m[21:11:44]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from simulation_data.hdf5        \u001b]8;id=83865;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=680344;file:///home/momchil/Drive/flexcompute/tidy3d-core/tidy3d_frontend/tidy3d/web/webapi.py#590\u001b\\\u001b[2m590\u001b[0m\u001b]8;;\u001b\\\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sim_data_after_mnt = web.run(sim_after_mnt, task_name=\"meta_near_field_after\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(10, 4))\n",
-    "sim_data_after_mnt.plot_field(\"far_field\", \"int\", vmax=105, ax=ax1)\n",
-    "sim_data_after_mnt.plot_field(\"fields_yz\", \"int\", vmax=180, ax=ax2)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Conclusions\n",
-    "\n",
-    "We notice that our metalens does quite well at focusing at this high NA! For the purposes of demonstration, this is quite a small device, but the same the same principle can be applied to optimize a much larger metalens.\n",
-    "\n",
-    "For more case studies using the `adjoint` plugin, see the\n",
-    "\n",
-    "* [Gradient Checking Notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin2GradientChecking/).\n",
-    "\n",
-    "* [Inverse Design Notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin3InverseDesign/).\n",
-    "\n",
-    "* [Multi-Objective Gradient Notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin4MultiObjective/).\n",
-    "\n",
-    "* [Boundary Gradients Notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin5BoundaryGradients/).\n",
-    "\n",
-    "* [Grating Coupler Notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin6GratingCoupler/).\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "description": "This notebook demonstrates the adjoint optimization of a metalens in Tidy3D using the adjoint plugin.",
-  "feature_image": "./img/adjoint_7.png",
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "keywords": "inverse design, metalens, design optimization, adjoint, Tidy3D, FDTD",
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.7"
-  },
-  "nbdime-conflicts": {
-   "local_diff": [
-    {
-     "diff": [
-      {
-       "diff": [
-        {
-         "diff": [
-          {
-           "key": 5,
-           "op": "addrange",
-           "valuelist": "9"
-          },
-          {
-           "key": 5,
-           "length": 1,
-           "op": "removerange"
-          }
-         ],
-         "key": 0,
-         "op": "patch"
-        }
-       ],
-       "key": "version",
-       "op": "patch"
-      }
-     ],
-     "key": "language_info",
-     "op": "patch"
-    }
-   ],
-   "remote_diff": [
-    {
-     "diff": [
-      {
-       "diff": [
-        {
-         "diff": [
-          {
-           "key": 5,
-           "op": "addrange",
-           "valuelist": "12"
-          },
-          {
-           "key": 5,
-           "length": 1,
-           "op": "removerange"
-          }
-         ],
-         "key": 0,
-         "op": "patch"
-        }
-       ],
-       "key": "version",
-       "op": "patch"
-      }
-     ],
-     "key": "language_info",
-     "op": "patch"
-    }
-   ]
-  },
-  "title": "Adjoint Optimization of a Metalens in Tidy3D Using the Adjoint Plugin| Flexcompute",
-  "widgets": {
-   "application/vnd.jupyter.widget-state+json": {
-    "state": {
-     "221f7eb28bd24430bf845e5883144ef8": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_eaa507fb4cd549cf9c6104425d93874a",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ simulation.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 629.0/629.0 kB • 2.1 MB/s • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m629.0/629.0 kB\u001b[0m • \u001b[31m2.1 MB/s\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "386aecd9a2b643d99ee58ce9a2002752": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_e7d67843bb994e13a5ab6ccfc3f64dd1",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 2.7/2.7 MB • 20.9 MB/s • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m2.7/2.7 MB\u001b[0m • \u001b[31m20.9 MB/s\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "3ae03f102f324415a305e6c002006df3": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "48f8e276d091491fa7800774be9fadb4": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "4ae64695120949c2a91488d9f25f552d": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_3ae03f102f324415a305e6c002006df3",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🚶  Starting 'metalens'...\n
\n",
-          "text/plain": "\u001b[32m🚶 \u001b[0m \u001b[1;32mStarting 'metalens'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "51e705e82b59434f87e998f04fe828cd": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_f3bd11a740814984b1d5e9ed562ddcd8",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 23.5/23.5 MB • 20.3 MB/s • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m23.5/23.5 MB\u001b[0m • \u001b[31m20.3 MB/s\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "5582ac28333f4e6aae6b70f836193e3b": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "55c70db6254c4dfa8085c698d0f5405e": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_6447cfa42b8841b6bf46faded3b40218",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🏃  Starting 'metalens'...\n
\n",
-          "text/plain": "\u001b[32m🏃 \u001b[0m \u001b[1;32mStarting 'metalens'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "59f7b4ed010849639dc31bade9b5012f": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "6447cfa42b8841b6bf46faded3b40218": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "7d0b370f20a344d9832a2fdc7a279454": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_a3abab06426a4faaba4e1ba1b3115535",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🏃  Finishing 'metalens'...\n
\n",
-          "text/plain": "\u001b[32m🏃 \u001b[0m \u001b[1;32mFinishing 'metalens'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "7fb022224f024af3ba9902ce8f805763": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_48f8e276d091491fa7800774be9fadb4",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
solver progress (field decay = 5.96e-06) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00\n
\n",
-          "text/plain": "solver progress (field decay = 5.96e-06) \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "a3abab06426a4faaba4e1ba1b3115535": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "b76c41719c2f4649b27f05ad4868062a": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_b7d6fa93e6664924bcc34f4f894b65a5",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
🏃  Finishing 'metalens'...\n
\n",
-          "text/plain": "\u001b[32m🏃 \u001b[0m \u001b[1;32mFinishing 'metalens'...\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "b7d6fa93e6664924bcc34f4f894b65a5": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "c32f795b0a72480bac2a40f2db5ce901": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_59f7b4ed010849639dc31bade9b5012f",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
solver progress (field decay = 7.28e-06) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00\n
\n",
-          "text/plain": "solver progress (field decay = 7.28e-06) \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "e25610dd4c954cbdbd5a71585cdd78e1": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
-      "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_5582ac28333f4e6aae6b70f836193e3b",
-       "msg_id": "",
-       "outputs": [
-        {
-         "data": {
-          "text/html": "
↑ simulation.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% • 616.9/616.9 kB • 1.8 MB/s • 0:00:00\n
\n",
-          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m616.9/616.9 kB\u001b[0m • \u001b[31m1.8 MB/s\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
-      }
-     },
-     "e7d67843bb994e13a5ab6ccfc3f64dd1": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "eaa507fb4cd549cf9c6104425d93874a": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     },
-     "f3bd11a740814984b1d5e9ed562ddcd8": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
-      }
-     }
-    },
-    "version_major": 2,
-    "version_minor": 0
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/AdjointPlugin8WaveguideBend.ipynb b/AdjointPlugin8WaveguideBend.ipynb
deleted file mode 100644
index 9f526e5a..00000000
--- a/AdjointPlugin8WaveguideBend.ipynb
+++ /dev/null
@@ -1,40561 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "1535d9e4-b444-46e3-9a39-9d5a6ce1f724",
-   "metadata": {},
-   "source": [
-    "# Adjoint-based shape optimization of a waveguide bend\n",
-    "\n",
-    "> Note: Tidy3D now supports automatic differentiation natively through `autograd`. The `jax`-based `adjoint` plugin will be deprecated from 2.7 onwards. To see this notebook implemented in the new feature, see [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd8WaveguideBend/).\n",
-    "\n",
-    "In this notebook, we will apply the adjoint method to the optimization of a low-loss waveguide bend. We start with a 90 degree bend in a SiN waveguide, parameterized using a `td.PolySlab`. \n",
-    "\n",
-    "We define an objective function that seeks to maximize the transmission of the TE0 output mode amplitude with respect to the position of the polygon vertices defining the bend. A penalty is applied to keep the local radii of curvature larger than a pre-defined value.\n",
-    "\n",
-    "The resulting device demonstrates low loss and exhibits a smooth geometry.\n",
-    "\n",
-    "> To install the `jax` module required for this feature, we recommend running `pip install \"tidy3d[jax]\"`.\n",
-    "\n",
-    "\"Schematic\n",
-    "\n",
-    "If you are unfamiliar with inverse design, we also recommend our [intro to inverse design tutorials](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) and our [primer on automatic differentiation with tidy3d](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin1Intro/).\n",
-    "\n",
-    "## Setup\n",
-    "\n",
-    "First, we import `tidy3d` and it's  `adjoint` plugin. We will also use `numpy`, `matplotlib` and `jax`. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "49188672-e1c3-43f1-92c0-a575810aa0ac",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:31.164472Z",
-     "iopub.status.busy": "2023-08-19T03:36:31.164237Z",
-     "iopub.status.idle": "2023-08-19T03:36:32.878560Z",
-     "shell.execute_reply": "2023-08-19T03:36:32.877945Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "import tidy3d as td\n",
-    "import tidy3d.plugins.adjoint as tda\n",
-    "from tidy3d.plugins.adjoint.web import run_local as run"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "c3d77738-af2f-44d5-b329-d89c71c7c8d8",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:32.881532Z",
-     "iopub.status.busy": "2023-08-19T03:36:32.880988Z",
-     "iopub.status.idle": "2023-08-19T03:36:32.902416Z",
-     "shell.execute_reply": "2023-08-19T03:36:32.901735Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "import matplotlib.pylab as plt\n",
-    "import numpy as np"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "4ae21094-7d43-41ff-8e1e-8ae793a42650",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:32.905514Z",
-     "iopub.status.busy": "2023-08-19T03:36:32.905204Z",
-     "iopub.status.idle": "2023-08-19T03:36:32.927933Z",
-     "shell.execute_reply": "2023-08-19T03:36:32.926118Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "import jax\n",
-    "import jax.numpy as jnp"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ba08a4ef-c31c-41bc-bff7-922bf83a7b1e",
-   "metadata": {},
-   "source": [
-    "Next, we define all the global parameters for our device and optimization."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "330887eb-6c9a-4173-8b73-b7583c8c5869",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:32.933767Z",
-     "iopub.status.busy": "2023-08-19T03:36:32.933373Z",
-     "iopub.status.idle": "2023-08-19T03:36:32.964386Z",
-     "shell.execute_reply": "2023-08-19T03:36:32.963813Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "wavelength = 1.5\n",
-    "freq0 = td.C_0 / wavelength\n",
-    "\n",
-    "# frequency of measurement and source\n",
-    "# note: we only optimize results at the central frequency for now.\n",
-    "fwidth = freq0 / 10\n",
-    "num_freqs = 10\n",
-    "freqs = np.linspace(freq0 - fwidth / 2, freq0 + fwidth / 2, num_freqs)\n",
-    "\n",
-    "# define the discretization of the bend polygon in angle\n",
-    "num_pts = 60\n",
-    "angles = np.linspace(0, np.pi / 2, num_pts + 2)[1:-1]\n",
-    "\n",
-    "# refractive indices of waveguide and substrate (air above)\n",
-    "n_wg = 2.0\n",
-    "n_sub = 1.5\n",
-    "\n",
-    "# min space between waveguide and PML\n",
-    "spc = 1 * wavelength\n",
-    "\n",
-    "# length of input and output straight waveguide sections\n",
-    "t = 1 * wavelength\n",
-    "\n",
-    "# distance between PML and the mode source / mode monitor\n",
-    "mode_spc = t / 2.0\n",
-    "\n",
-    "# height of waveguide core\n",
-    "h = 0.7\n",
-    "\n",
-    "# minimum, starting, and maximum allowed thicknesses for the bend geometry\n",
-    "wmin = 0.5\n",
-    "wmid = 1.5\n",
-    "wmax = 2.5\n",
-    "\n",
-    "# average radius of curvature of the bend\n",
-    "radius = 6\n",
-    "\n",
-    "# minimum allowed radius of curvature of the polygon\n",
-    "min_radius = 150e-3\n",
-    "\n",
-    "# name of the monitor measuring the transmission amplitudes for optimization\n",
-    "monitor_name = \"mode\"\n",
-    "\n",
-    "# how many grid points per wavelength in the waveguide core material\n",
-    "min_steps_per_wvl = 30\n",
-    "\n",
-    "# how many mode outputs to measure\n",
-    "num_modes = 3\n",
-    "mode_spec = td.ModeSpec(num_modes=num_modes)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "491189f1-8d54-45d2-bd14-f0e46163cdc5",
-   "metadata": {},
-   "source": [
-    "Using all of these parameters, we can define the total simulation size."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "099d588f-6745-4db4-8ca0-452a498e6d2b",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:32.966590Z",
-     "iopub.status.busy": "2023-08-19T03:36:32.966430Z",
-     "iopub.status.idle": "2023-08-19T03:36:32.986560Z",
-     "shell.execute_reply": "2023-08-19T03:36:32.986021Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "Lx = Ly = t + radius + abs(wmax - wmid) + spc\n",
-    "Lz = spc + h + spc"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "89afa716-793b-40ff-b762-2dfccf05c867",
-   "metadata": {},
-   "source": [
-    "### Define parameterization\n",
-    "\n",
-    "Next we describe how the geometry looks as a function of our design parameters.\n",
-    "\n",
-    "At each angle on our bend discretization, we define a parameter that can range between -inf and +inf to control the thickness of that section. If that parameter is -inf, 0, and +inf, the thickness of that section is `wmin`, `wmid`, and `wmax`, respectively.\n",
-    "\n",
-    "This gives us a smooth way to constrain our measurable parameter without needing to worry about it in the optimization."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "104ab125-3ac9-4569-ab70-873acd41f0fc",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:32.988899Z",
-     "iopub.status.busy": "2023-08-19T03:36:32.988601Z",
-     "iopub.status.idle": "2023-08-19T03:36:33.012295Z",
-     "shell.execute_reply": "2023-08-19T03:36:33.011700Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "def thickness(param: float) -> float:\n",
-    "    \"\"\"thickness of a bend section as a function of a parameter in (-inf, +inf).\"\"\"\n",
-    "    param_01 = (jnp.tanh(param) + 1.0) / 2.0\n",
-    "    return wmax * param_01 + wmin * (1 - param_01)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "7261fdc3-9520-4995-9610-1586d330ed13",
-   "metadata": {},
-   "source": [
-    "Next we write a function to generate all of our bend polygon vertices given our array of design parameters. Note that we add extra vertices at the beginning and end of the bend that are **independent** of the parameters (static) and are only there to make it easier to connect the bend to the input and output waveguide sections."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "f04524c0-9ac4-4990-a142-c3596323606d",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:33.014717Z",
-     "iopub.status.busy": "2023-08-19T03:36:33.014526Z",
-     "iopub.status.idle": "2023-08-19T03:36:33.037985Z",
-     "shell.execute_reply": "2023-08-19T03:36:33.037486Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "def make_vertices(params: np.ndarray) -> list:\n",
-    "    \"\"\"Make bend polygon vertices as a function of design parameters.\"\"\"\n",
-    "    vertices = []\n",
-    "    vertices.append((-Lx / 2 + 1e-2, -Ly / 2 + t + radius))\n",
-    "    vertices.append((-Lx / 2 + t, -Ly / 2 + t + radius + wmid / 2))\n",
-    "    for angle, param in zip(angles, params):\n",
-    "        thickness_i = thickness(param)\n",
-    "        radius_i = radius + thickness_i / 2.0\n",
-    "        x = radius_i * np.sin(angle) - Lx / 2 + t\n",
-    "        y = radius_i * np.cos(angle) - Ly / 2 + t\n",
-    "        vertices.append((x, y))\n",
-    "    vertices.append((-Lx / 2 + t + radius + wmid / 2, -Ly / 2 + t))\n",
-    "    vertices.append((-Lx / 2 + t + radius, -Ly / 2 + 1e-2))\n",
-    "    vertices.append((-Lx / 2 + t + radius - wmid / 2, -Ly / 2 + t))\n",
-    "    for angle, param in zip(angles[::-1], params[::-1]):\n",
-    "        thickness_i = thickness(param)\n",
-    "        radius_i = radius - thickness_i / 2.0\n",
-    "        x = radius_i * np.sin(angle) - Lx / 2 + t\n",
-    "        y = radius_i * np.cos(angle) - Ly / 2 + t\n",
-    "        vertices.append((x, y))\n",
-    "    vertices.append((-Lx / 2 + t, -Ly / 2 + t + radius - wmid / 2))\n",
-    "    return vertices"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3e5f676f-0e63-4e41-9df9-514afd08eb7e",
-   "metadata": {},
-   "source": [
-    "Let's try out our `make_vertices` function on a set of all `0` parameters, which should give the starting waveguide width of `wmid` across the bend."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "580d21d7-6423-4299-b889-676294966565",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:33.040112Z",
-     "iopub.status.busy": "2023-08-19T03:36:33.039967Z",
-     "iopub.status.idle": "2023-08-19T03:36:33.156430Z",
-     "shell.execute_reply": "2023-08-19T03:36:33.155793Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "WARNING:jax._src.xla_bridge:An NVIDIA GPU may be present on this machine, but a CUDA-enabled jaxlib is not installed. Falling back to cpu.\n"
-     ]
-    }
-   ],
-   "source": [
-    "params = np.zeros(num_pts)\n",
-    "vertices = make_vertices(params)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "cea18164-b71b-4fca-9d0e-801390531f9c",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:33.158731Z",
-     "iopub.status.busy": "2023-08-19T03:36:33.158539Z",
-     "iopub.status.idle": "2023-08-19T03:36:33.356008Z",
-     "shell.execute_reply": "2023-08-19T03:36:33.355499Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.scatter(*np.array(vertices).T)\n",
-    "ax = plt.gca()\n",
-    "ax.set_aspect(\"equal\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3b4df320-a42a-463c-9a9a-bcd84c7f7dd3",
-   "metadata": {},
-   "source": [
-    "Looks good, note again that the extra points on the ends are just to ensure a solid overlap with the in and out waveguides. At this time, the adjoint plugin does not handle polygons that extend outside of the simulation domain so we need to also ensure that all points are inside of the domain.\n",
-    "\n",
-    "Next we wrap this to write a function to generate a 3D [JaxPolySlab](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.adjoint.JaxPolySlab.html) geometry given our design parameters. The `JaxPolySlab` is simply a jax-compatible version of the regular `PolySlab` geometry that can be differentiated through."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "044f2377-62e8-4be8-9815-87cc1368d3ba",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:33.358308Z",
-     "iopub.status.busy": "2023-08-19T03:36:33.358136Z",
-     "iopub.status.idle": "2023-08-19T03:36:33.378654Z",
-     "shell.execute_reply": "2023-08-19T03:36:33.378073Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "def make_polyslab(params: np.ndarray) -> tda.JaxPolySlab:\n",
-    "    \"\"\"Make a `tidy3d.PolySlab` for the bend given the design parameters.\"\"\"\n",
-    "    vertices = make_vertices(params)\n",
-    "    return tda.JaxPolySlab(\n",
-    "        vertices=vertices,\n",
-    "        slab_bounds=(-h / 2, h / 2),\n",
-    "        axis=2,\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b57aa022-e979-4a19-9826-016ec22574ca",
-   "metadata": {},
-   "source": [
-    "Let's visualize this as well."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "ea0df1fd-0c81-4185-9455-81c1a2af2a4a",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:33.380842Z",
-     "iopub.status.busy": "2023-08-19T03:36:33.380658Z",
-     "iopub.status.idle": "2023-08-19T03:36:33.662680Z",
-     "shell.execute_reply": "2023-08-19T03:36:33.662143Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "polyslab = make_polyslab(params)\n",
-    "ax = polyslab.plot(z=0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "dc3b3303-3942-4004-a49b-f66fc07a0eb3",
-   "metadata": {},
-   "source": [
-    "Keeping with this theme, we add a function to generate a list of [JaxStructure](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.adjoint.JaxStructure.html)s with just one element (our differentiable polygon bend). "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "8db1381a-dd4a-4e99-a207-6f1c1363d173",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:33.664840Z",
-     "iopub.status.busy": "2023-08-19T03:36:33.664690Z",
-     "iopub.status.idle": "2023-08-19T03:36:33.686166Z",
-     "shell.execute_reply": "2023-08-19T03:36:33.685592Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "def make_input_structures(params) -> list[tda.JaxStructure]:\n",
-    "    polyslab = make_polyslab(params)\n",
-    "    medium = tda.JaxMedium(permittivity=n_wg**2)\n",
-    "    return [tda.JaxStructure(geometry=polyslab, medium=medium)]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "2ab62467-2ac4-4908-8344-2c342944f8e1",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:33.688280Z",
-     "iopub.status.busy": "2023-08-19T03:36:33.688092Z",
-     "iopub.status.idle": "2023-08-19T03:36:33.964874Z",
-     "shell.execute_reply": "2023-08-19T03:36:33.964343Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "(ring,) = input_structures = make_input_structures(params)\n",
-    "ax = ring.plot(z=0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "92d145cd-20e9-4762-ba3b-227d667b3fcd",
-   "metadata": {},
-   "source": [
-    "Next, we define the other \"static\" geometries, such as the input waveguide section, output waveguide section, and substrate."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "0e756863-4009-421a-9b86-20509d1d807b",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:33.966975Z",
-     "iopub.status.busy": "2023-08-19T03:36:33.966781Z",
-     "iopub.status.idle": "2023-08-19T03:36:33.989770Z",
-     "shell.execute_reply": "2023-08-19T03:36:33.989217Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "box_in = td.Box.from_bounds(\n",
-    "    rmin=(-Lx / 2 - 1, -Ly / 2 + t + radius - wmid / 2, -h / 2),\n",
-    "    rmax=(-Lx / 2 + t + 1e-3, -Ly / 2 + t + radius + wmid / 2, +h / 2),\n",
-    ")\n",
-    "box_out = td.Box.from_bounds(\n",
-    "    rmin=(-Lx / 2 + t + radius - wmid / 2, -Ly / 2 - 1, -h / 2),\n",
-    "    rmax=(-Lx / 2 + t + radius + wmid / 2, -Ly / 2 + t, +h / 2),\n",
-    ")\n",
-    "\n",
-    "geo_sub = td.Box.from_bounds(\n",
-    "    rmin=(-td.inf, -td.inf, -10000),\n",
-    "    rmax=(+td.inf, +td.inf, -h / 2),\n",
-    ")\n",
-    "\n",
-    "wg_in = td.Structure(geometry=box_in, medium=td.Medium(permittivity=n_wg**2))\n",
-    "wg_out = td.Structure(geometry=box_out, medium=td.Medium(permittivity=n_wg**2))\n",
-    "substrate = td.Structure(geometry=geo_sub, medium=td.Medium(permittivity=n_sub**2))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "36c7b8fa-51fb-4852-9e62-f231410d8e0e",
-   "metadata": {},
-   "source": [
-    "## Fabrication Constraints\n",
-    "\n",
-    "With the current parameterization, it is possible to generate structures with wildly varying radii of curvature which may be difficult to fabricate. To alleviate this, we introduce a minimum radius of curvature penalty transformation using the tidy3d adjoint utilities. The penalty will take a set of vertices, compute the local radius of curvature using a quadratic Bezier curve, and return an average penalty function that depends on how much smaller the local radii are compared to a desired minimum radius."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "id": "a4e9cb73-c8a9-41ec-a4e2-af2eac220c04",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:33.992024Z",
-     "iopub.status.busy": "2023-08-19T03:36:33.991852Z",
-     "iopub.status.idle": "2023-08-19T03:36:34.022672Z",
-     "shell.execute_reply": "2023-08-19T03:36:34.021459Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "from tidy3d.plugins.adjoint.utils.penalty import RadiusPenalty\n",
-    "\n",
-    "penalty = RadiusPenalty(min_radius=min_radius, alpha=1.0, kappa=10.0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "557d4e5b-8441-433f-8965-e81c2f4b6231",
-   "metadata": {},
-   "source": [
-    "We then wrap this penalty to look at only the inner and outer vertices independently and average the penalty from each."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "4e4bc5d9-2c57-412c-8cc2-cc026b39857b",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:34.026853Z",
-     "iopub.status.busy": "2023-08-19T03:36:34.026533Z",
-     "iopub.status.idle": "2023-08-19T03:36:34.050147Z",
-     "shell.execute_reply": "2023-08-19T03:36:34.049560Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "def eval_penalty(params):\n",
-    "    \"\"\"Evaluate penalty on a set of params looking at radius of curvature.\"\"\"\n",
-    "    vertices = make_vertices(params)\n",
-    "    _vertices = jnp.array(vertices)\n",
-    "    vertices_top = _vertices[1 : num_pts + 3]  # select outer set of points along bend\n",
-    "    vertices_bot = _vertices[num_pts + 4 :]  # select inner set of points along bend\n",
-    "    penalty_top = penalty.evaluate(vertices_top)\n",
-    "    penalty_bot = penalty.evaluate(vertices_bot)\n",
-    "    return (penalty_top + penalty_bot) / 2.0"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "9881812c-1795-4f83-a24f-0b01833638e7",
-   "metadata": {},
-   "source": [
-    "Let's try this out on our starting parameters. We see we get a jax traced float that seems reasonably low given our smooth starting structure."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "d13993be-d625-4537-af2a-f7700c199612",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:34.052467Z",
-     "iopub.status.busy": "2023-08-19T03:36:34.052290Z",
-     "iopub.status.idle": "2023-08-19T03:36:34.511723Z",
-     "shell.execute_reply": "2023-08-19T03:36:34.511183Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Array(3.5788543e-23, dtype=float32)"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "eval_penalty(params)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "28462443-1777-4b35-8c03-32490755f475",
-   "metadata": {},
-   "source": [
-    "## Define Simulation\n",
-    "\n",
-    "Now we define our sources, monitors, and simulation.\n",
-    "\n",
-    "We first define a mode source injected at the input waveguide."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "id": "96cf199b-0a3b-4ace-9e1e-ba6c62d165f7",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:34.513902Z",
-     "iopub.status.busy": "2023-08-19T03:36:34.513718Z",
-     "iopub.status.idle": "2023-08-19T03:36:34.536900Z",
-     "shell.execute_reply": "2023-08-19T03:36:34.536186Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "mode_width = wmid + 2 * spc\n",
-    "mode_height = Lz\n",
-    "\n",
-    "mode_src = td.ModeSource(\n",
-    "    size=(0, mode_width, mode_height),\n",
-    "    center=(-Lx / 2 + t / 2, -Ly / 2 + t + radius, 0),\n",
-    "    direction=\"+\",\n",
-    "    source_time=td.GaussianPulse(\n",
-    "        freq0=freq0,\n",
-    "        fwidth=fwidth,\n",
-    "    ),\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "79c7db54-87c6-4ba4-9da7-68ae176a222f",
-   "metadata": {},
-   "source": [
-    "Next, we define monitors for storing:\n",
-    "\n",
-    "- The output mode amplitude at the central frequency.\n",
-    "\n",
-    "- The flux on the output plane (for reference).\n",
-    "\n",
-    "- The output mode amplitude across a frequency range (for examining the transmission spectrum of our final device).\n",
-    "\n",
-    "- A field monitor to measure fields directly in the z-normal plane intersecting the waveguide."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "id": "731f5f2f-0c38-4e86-add9-7ba8eea6c951",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:34.539461Z",
-     "iopub.status.busy": "2023-08-19T03:36:34.539261Z",
-     "iopub.status.idle": "2023-08-19T03:36:34.728468Z",
-     "shell.execute_reply": "2023-08-19T03:36:34.727906Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "mode_mnt = td.ModeMonitor(\n",
-    "    size=(mode_width, 0, mode_height),\n",
-    "    center=(-Lx / 2 + t + radius, -Ly / 2 + t / 2, 0),\n",
-    "    name=monitor_name,\n",
-    "    freqs=[freq0],\n",
-    "    mode_spec=mode_spec,\n",
-    ")\n",
-    "\n",
-    "flux_mnt = td.FluxMonitor(\n",
-    "    size=(mode_width, 0, mode_height),\n",
-    "    center=(-Lx / 2 + t + radius, -Ly / 2 + t / 2, 0),\n",
-    "    name=\"flux\",\n",
-    "    freqs=[freq0],\n",
-    ")\n",
-    "\n",
-    "mode_mnt_bb = td.ModeMonitor(\n",
-    "    size=(mode_width, 0, mode_height),\n",
-    "    center=(-Lx / 2 + t + radius, -Ly / 2 + t / 2, 0),\n",
-    "    name=\"mode_bb\",\n",
-    "    freqs=freqs.tolist(),\n",
-    "    mode_spec=mode_spec,\n",
-    ")\n",
-    "\n",
-    "fld_mnt = td.FieldMonitor(\n",
-    "    size=(td.inf, td.inf, 0),\n",
-    "    freqs=[freq0],\n",
-    "    name=\"field\",\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2e47e54a-65f3-463f-b790-fd873597659e",
-   "metadata": {},
-   "source": [
-    "Next we put everything together into a function that returns a [JaxSimulation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.adjoint.JaxSimulation.html) given our parameters and an optional boolean specifying whether to include the field monitor (to save data when fields are not required)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "id": "f33bcf5e-2f31-4969-acb7-42bc06b1347e",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:34.730701Z",
-     "iopub.status.busy": "2023-08-19T03:36:34.730511Z",
-     "iopub.status.idle": "2023-08-19T03:36:34.754762Z",
-     "shell.execute_reply": "2023-08-19T03:36:34.754191Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "def make_sim(params, use_fld_mnt: bool = True) -> tda.JaxSimulation:\n",
-    "    monitors = [mode_mnt_bb, flux_mnt]\n",
-    "    if use_fld_mnt:\n",
-    "        monitors += [fld_mnt]\n",
-    "    input_structures = make_input_structures(params)\n",
-    "    return tda.JaxSimulation(\n",
-    "        size=(Lx, Ly, Lz),\n",
-    "        input_structures=input_structures,\n",
-    "        structures=[substrate, wg_in, wg_out],\n",
-    "        sources=[mode_src],\n",
-    "        output_monitors=[mode_mnt],\n",
-    "        grid_spec=td.GridSpec.auto(min_steps_per_wvl=min_steps_per_wvl),\n",
-    "        boundary_spec=td.BoundarySpec.pml(x=True, y=True, z=True),\n",
-    "        monitors=monitors,\n",
-    "        run_time=10 / fwidth,\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c7d38368-afd9-4a29-864a-4c6c6385acea",
-   "metadata": {},
-   "source": [
-    "Let's try it out and plot our simulation."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "id": "42fcce5a-11e9-4de2-b03e-97ca75af1628",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:34.756968Z",
-     "iopub.status.busy": "2023-08-19T03:36:34.756793Z",
-     "iopub.status.idle": "2023-08-19T03:36:35.322782Z",
-     "shell.execute_reply": "2023-08-19T03:36:35.322144Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
12:20:23 -03 WARNING: 'JaxPolySlab'-containing                                  \n",
-       "             'JaxSimulation.input_structures[0]' intersects with                \n",
-       "             'JaxSimulation.structures[1]'. Note that in this version of the    \n",
-       "             adjoint plugin, there may be errors in the gradient when           \n",
-       "             'JaxPolySlab' intersects with background structures.               \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m12:20:23 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m-containing                                  \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.input_structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m intersects with                \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxSimulation.structures\u001b[0m\u001b[32m[\u001b[0m\u001b[32m1\u001b[0m\u001b[32m]\u001b[0m\u001b[32m'\u001b[0m\u001b[31m. Note that in this version of the    \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31madjoint plugin, there may be errors in the gradient when           \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'JaxPolySlab'\u001b[0m\u001b[31m intersects with background structures.               \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             WARNING: Suppressed 1 WARNING message.                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m1\u001b[0m\u001b[31m WARNING message.                             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             WARNING: Structure at structures[3] was detected as being less than\n",
-       "             half of a central wavelength from a PML on side x-min. To avoid    \n",
-       "             inaccurate results or divergence, please increase gap between any  \n",
-       "             structures and PML or fully extend structure through the pml.      \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Structure at structures\u001b[0m\u001b[1;31m[\u001b[0m\u001b[1;36m3\u001b[0m\u001b[1;31m]\u001b[0m\u001b[31m was detected as being less than\u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31mhalf of a central wavelength from a PML on side x-min. To avoid    \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31minaccurate results or divergence, please increase gap between any  \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31mstructures and PML or fully extend structure through the pml.      \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             WARNING: Suppressed 1 WARNING message.                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m1\u001b[0m\u001b[31m WARNING message.                             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             WARNING: Structure at structures[3] was detected as being less than\n",
-       "             half of a central wavelength from a PML on side x-min. To avoid    \n",
-       "             inaccurate results or divergence, please increase gap between any  \n",
-       "             structures and PML or fully extend structure through the pml.      \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Structure at structures\u001b[0m\u001b[1;31m[\u001b[0m\u001b[1;36m3\u001b[0m\u001b[1;31m]\u001b[0m\u001b[31m was detected as being less than\u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31mhalf of a central wavelength from a PML on side x-min. To avoid    \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31minaccurate results or divergence, please increase gap between any  \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31mstructures and PML or fully extend structure through the pml.      \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             WARNING: Suppressed 1 WARNING message.                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m1\u001b[0m\u001b[31m WARNING message.                             \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sim = make_sim(params)\n",
-    "\n",
-    "f, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(10, 4))\n",
-    "ax = sim.plot(z=0.01, ax=ax1)\n",
-    "ax = sim.plot(x=-Lx / 2 + t / 2, ax=ax2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c4850a27-08e1-4267-8076-8d5b6ece9f8e",
-   "metadata": {},
-   "source": [
-    "> Note: we get warnings from the adjoint plugin because the polyslab intersects the static waveguide ports and those edges will give inaccurate gradients. We can safely ignore those warnings because we don't need gradients with respect to them."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "id": "fa5b961a-1b10-416d-9b68-c4d1d24d087a",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:35.324822Z",
-     "iopub.status.busy": "2023-08-19T03:36:35.324636Z",
-     "iopub.status.idle": "2023-08-19T03:36:35.344592Z",
-     "shell.execute_reply": "2023-08-19T03:36:35.344017Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "td.config.logging_level = \"ERROR\""
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b11fca49-0b3f-4f96-9b2e-933b0c8ea6ac",
-   "metadata": {},
-   "source": [
-    "## Select the desired waveguide mode\n",
-    "\n",
-    "Next, we use the [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html) to solve and select the `mode_index` that gives us the proper injected and measured modes. We plot all of the fields for the first 3 modes and see that the TE0 mode is `mode_index=0`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "id": "8480cca1-a8df-4c43-81d0-18b7ffa5076f",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:35.347365Z",
-     "iopub.status.busy": "2023-08-19T03:36:35.347113Z",
-     "iopub.status.idle": "2023-08-19T03:36:40.224805Z",
-     "shell.execute_reply": "2023-08-19T03:36:40.224131Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Effective index of computed modes:  [[1.7966835 1.7514164 1.6002883]]\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "from tidy3d.plugins.mode import ModeSolver\n",
-    "\n",
-    "ms = ModeSolver(\n",
-    "    simulation=sim.to_simulation()[0], plane=mode_src, mode_spec=mode_spec, freqs=mode_mnt.freqs\n",
-    ")\n",
-    "data = ms.solve()\n",
-    "\n",
-    "print(\"Effective index of computed modes: \", np.array(data.n_eff))\n",
-    "\n",
-    "fig, axs = plt.subplots(num_modes, 3, figsize=(14, 10), tight_layout=True)\n",
-    "for mode_ind in range(num_modes):\n",
-    "    for field_ind, field_name in enumerate((\"Ex\", \"Ey\", \"Ez\")):\n",
-    "        field = data.field_components[field_name].sel(mode_index=mode_ind)\n",
-    "        ax = axs[mode_ind, field_ind]\n",
-    "        field.real.plot(x=\"y\", y=\"z\", ax=ax, cmap=\"RdBu\")\n",
-    "        ax.set_title(f\"{field_name}, mode_ind={mode_ind}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a9fe1aaf-5e75-445a-80a5-e7a75197a8ee",
-   "metadata": {},
-   "source": [
-    "Since this is already the default mode index, we can leave the original `make_sim()` function as is. However, to generate a new mode source with a different `mode_index`, we could do the following and rewrite that function with the returned `mode_src`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "id": "5e1974b0-28c8-4d65-9d79-976cb012b870",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:40.227904Z",
-     "iopub.status.busy": "2023-08-19T03:36:40.227653Z",
-     "iopub.status.idle": "2023-08-19T03:36:40.254818Z",
-     "shell.execute_reply": "2023-08-19T03:36:40.254147Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "# select the mode index\n",
-    "mode_index = 0\n",
-    "\n",
-    "# make the mode source with appropriate mode index\n",
-    "mode_src = ms.to_source(\n",
-    "    mode_index=mode_index, source_time=mode_src.source_time, direction=mode_src.direction\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ab0e3e8c-3336-4fa3-9eca-6e89e0c50812",
-   "metadata": {},
-   "source": [
-    "## Defining objective function\n",
-    "\n",
-    "Now we can define our objective function to maximize. The objective function first generates a simulation given the parameters, runs the simulation using the `jax`-compatible [tidy3d.plugins.adjoint.run](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.adjoint.web.run.html) function, measures the power transmitted into the TE0 output mode at our desired polarization, and then subtracts the radius of curvature penalty that we defined earlier.\n",
-    "\n",
-    "For convenience, we also return the [JaxSimulationData](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.adjoint.JaxSimulationData.html) as the 2nd output, which will be ignored by `jax` when we pass `has_aux=True` when computing the gradient of this function."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "id": "9f02432c-1de7-45da-ac8d-dc730093acff",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:40.257345Z",
-     "iopub.status.busy": "2023-08-19T03:36:40.257036Z",
-     "iopub.status.idle": "2023-08-19T03:36:40.280125Z",
-     "shell.execute_reply": "2023-08-19T03:36:40.279510Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "def objective(params, use_fld_mnt: bool = True):\n",
-    "    sim = make_sim(params, use_fld_mnt=use_fld_mnt)\n",
-    "    sim_data = run(sim, task_name=\"bend\", verbose=False)\n",
-    "    amps = sim_data[monitor_name].amps.sel(direction=\"-\", mode_index=mode_index).values\n",
-    "    transmission = jnp.abs(jnp.array(amps)) ** 2\n",
-    "    J = jnp.sum(transmission) - eval_penalty(params)\n",
-    "    return J, sim_data"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "8e82ef72-d130-48dd-b88d-bdc5e5ccde0f",
-   "metadata": {},
-   "source": [
-    "Next, we use [jax.value_and_grad](https://jax.readthedocs.io/en/latest/_autosummary/jax.value_and_grad.html) to transform this objective function into a function that returns the \n",
-    "\n",
-    "* Objective function evaluated at the passed parameters.\n",
-    "\n",
-    "* Auxiliary [JaxSimulationData](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.adjoint.JaxSimulationData.html) corresponding to the forward pass (for plotting later).\n",
-    "\n",
-    "* Gradient of the objective function with respect to the passed parameters."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "id": "d8390c85-0506-4a4f-aa85-fa9311a969bd",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:40.282832Z",
-     "iopub.status.busy": "2023-08-19T03:36:40.282663Z",
-     "iopub.status.idle": "2023-08-19T03:36:40.307756Z",
-     "shell.execute_reply": "2023-08-19T03:36:40.307056Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "val_grad = jax.value_and_grad(objective, has_aux=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a1cad86d-800f-40c8-8966-d2483cdd254e",
-   "metadata": {},
-   "source": [
-    "Let's run this function and take a look at the outputs."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "id": "99393577-a86b-4d20-98b2-8e45b4b88058",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:36:40.310393Z",
-     "iopub.status.busy": "2023-08-19T03:36:40.310186Z",
-     "iopub.status.idle": "2023-08-19T03:39:21.714893Z",
-     "shell.execute_reply": "2023-08-19T03:39:21.714313Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "(val, sim_data), grad = val_grad(params)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "id": "0adcb4f4-8b8d-4526-bfcd-5be2caf810c2",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:39:21.717000Z",
-     "iopub.status.busy": "2023-08-19T03:39:21.716821Z",
-     "iopub.status.idle": "2023-08-19T03:39:21.743289Z",
-     "shell.execute_reply": "2023-08-19T03:39:21.742376Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.56060445\n",
-      "[-0.0188388  -0.02968329 -0.04119703 -0.05332524 -0.06572866 -0.07820014\n",
-      " -0.09031231 -0.10045926 -0.11044138 -0.11628448 -0.11940151 -0.11856014\n",
-      " -0.11367594 -0.10428433 -0.09043697 -0.07393097 -0.05485657 -0.0337466\n",
-      " -0.01146656  0.01097788  0.03232807  0.05213357  0.07016988  0.08564365\n",
-      "  0.0990769   0.10944834  0.11628198  0.12678821  0.1184852   0.12728047\n",
-      "  0.12726428  0.11848194  0.12681223  0.11626809  0.10944062  0.09910151\n",
-      "  0.0856217   0.0701622   0.05214944  0.03230007  0.01097185 -0.01146848\n",
-      " -0.03375959 -0.05487485 -0.07394323 -0.09041391 -0.10433427 -0.11368035\n",
-      " -0.11850713 -0.1194798  -0.11626592 -0.1103911  -0.10054259 -0.09028433\n",
-      " -0.07816786 -0.06577757 -0.05332028 -0.04118454 -0.02970344 -0.01884984]\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(val)\n",
-    "print(grad)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6aea9708-fe5c-4f9e-aae3-0d4aa769fa17",
-   "metadata": {},
-   "source": [
-    "These seem reasonable and can now be used for plugging into our optimization algorithm.\n",
-    "\n",
-    "## Optimization Procedure\n",
-    "\n",
-    "With our gradients defined, we write a simple optimization loop using the [optax](https://optax.readthedocs.io/en/latest/) package. We use the `adam` method with a tunable number of steps and learning rate. The intermediate values, parameters, and data are stored for visualization later.\n",
-    "\n",
-    "> Note: this will take several minutes. While not shown here, it is good practice to checkpoint your optimization results by saving to file on every iteration, or ensure you have a stable internet connection. See [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin6GratingCoupler/) for more details. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "id": "f0a6b1e7-6d87-483e-a54e-ac8ca19a03fa",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-08-19T03:39:21.746507Z",
-     "iopub.status.busy": "2023-08-19T03:39:21.746145Z",
-     "iopub.status.idle": "2023-08-19T04:29:23.024309Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "step = 1\n",
-      "\tJ = 5.6060e-01\n",
-      "\tgrad_norm = 6.7527e-01\n",
-      "step = 2\n",
-      "\tJ = 8.4790e-01\n",
-      "\tgrad_norm = 4.8038e-01\n",
-      "step = 3\n",
-      "\tJ = 8.9984e-01\n",
-      "\tgrad_norm = 4.0508e-01\n",
-      "step = 4\n",
-      "\tJ = 8.5131e-01\n",
-      "\tgrad_norm = 5.0347e-01\n",
-      "step = 5\n",
-      "\tJ = 8.3507e-01\n",
-      "\tgrad_norm = 4.8750e-01\n",
-      "step = 6\n",
-      "\tJ = 8.6679e-01\n",
-      "\tgrad_norm = 4.8799e-01\n",
-      "step = 7\n",
-      "\tJ = 9.2224e-01\n",
-      "\tgrad_norm = 3.5351e-01\n",
-      "step = 8\n",
-      "\tJ = 9.5242e-01\n",
-      "\tgrad_norm = 1.8942e-01\n",
-      "step = 9\n",
-      "\tJ = 9.4218e-01\n",
-      "\tgrad_norm = 2.4272e-01\n",
-      "step = 10\n",
-      "\tJ = 9.1946e-01\n",
-      "\tgrad_norm = 2.9455e-01\n",
-      "step = 11\n",
-      "\tJ = 9.0531e-01\n",
-      "\tgrad_norm = 3.2003e-01\n",
-      "step = 12\n",
-      "\tJ = 9.1071e-01\n",
-      "\tgrad_norm = 3.1154e-01\n",
-      "step = 13\n",
-      "\tJ = 9.3085e-01\n",
-      "\tgrad_norm = 2.5687e-01\n",
-      "step = 14\n",
-      "\tJ = 9.5300e-01\n",
-      "\tgrad_norm = 1.7602e-01\n",
-      "step = 15\n",
-      "\tJ = 9.6490e-01\n",
-      "\tgrad_norm = 1.0443e-01\n",
-      "step = 16\n",
-      "\tJ = 9.6218e-01\n",
-      "\tgrad_norm = 1.3480e-01\n",
-      "step = 17\n",
-      "\tJ = 9.5239e-01\n",
-      "\tgrad_norm = 1.9509e-01\n",
-      "step = 18\n",
-      "\tJ = 9.4549e-01\n",
-      "\tgrad_norm = 2.2595e-01\n",
-      "step = 19\n",
-      "\tJ = 9.4680e-01\n",
-      "\tgrad_norm = 2.1706e-01\n",
-      "step = 20\n",
-      "\tJ = 9.5441e-01\n",
-      "\tgrad_norm = 1.7688e-01\n",
-      "step = 21\n",
-      "\tJ = 9.6259e-01\n",
-      "\tgrad_norm = 1.2695e-01\n",
-      "step = 22\n",
-      "\tJ = 9.6678e-01\n",
-      "\tgrad_norm = 9.8817e-02\n",
-      "step = 23\n",
-      "\tJ = 9.6526e-01\n",
-      "\tgrad_norm = 1.2305e-01\n",
-      "step = 24\n",
-      "\tJ = 9.6186e-01\n",
-      "\tgrad_norm = 1.4717e-01\n",
-      "step = 25\n",
-      "\tJ = 9.5993e-01\n",
-      "\tgrad_norm = 1.5419e-01\n",
-      "step = 26\n",
-      "\tJ = 9.6063e-01\n",
-      "\tgrad_norm = 1.4312e-01\n",
-      "step = 27\n",
-      "\tJ = 9.6385e-01\n",
-      "\tgrad_norm = 1.2450e-01\n",
-      "step = 28\n",
-      "\tJ = 9.6808e-01\n",
-      "\tgrad_norm = 1.0043e-01\n",
-      "step = 29\n",
-      "\tJ = 9.7131e-01\n",
-      "\tgrad_norm = 7.4764e-02\n",
-      "step = 30\n",
-      "\tJ = 9.7190e-01\n",
-      "\tgrad_norm = 6.6778e-02\n",
-      "step = 31\n",
-      "\tJ = 9.7000e-01\n",
-      "\tgrad_norm = 8.9502e-02\n",
-      "step = 32\n",
-      "\tJ = 9.6791e-01\n",
-      "\tgrad_norm = 1.0968e-01\n",
-      "step = 33\n",
-      "\tJ = 9.6787e-01\n",
-      "\tgrad_norm = 1.1277e-01\n",
-      "step = 34\n",
-      "\tJ = 9.7046e-01\n",
-      "\tgrad_norm = 9.2506e-02\n",
-      "step = 35\n",
-      "\tJ = 9.7376e-01\n",
-      "\tgrad_norm = 5.5469e-02\n",
-      "step = 36\n",
-      "\tJ = 9.7542e-01\n",
-      "\tgrad_norm = 2.4987e-02\n",
-      "step = 37\n",
-      "\tJ = 9.7487e-01\n",
-      "\tgrad_norm = 4.3868e-02\n",
-      "step = 38\n",
-      "\tJ = 9.7339e-01\n",
-      "\tgrad_norm = 6.9073e-02\n",
-      "step = 39\n",
-      "\tJ = 9.7261e-01\n",
-      "\tgrad_norm = 8.0034e-02\n",
-      "step = 40\n",
-      "\tJ = 9.7333e-01\n",
-      "\tgrad_norm = 7.4658e-02\n"
-     ]
-    }
-   ],
-   "source": [
-    "import optax\n",
-    "\n",
-    "# hyperparameters\n",
-    "num_steps = 40\n",
-    "learning_rate = 0.1\n",
-    "\n",
-    "# initialize adam optimizer with starting parameters\n",
-    "params = np.array(params).copy()\n",
-    "optimizer = optax.adam(learning_rate=learning_rate)\n",
-    "opt_state = optimizer.init(params)\n",
-    "\n",
-    "# store history\n",
-    "objective_history = []\n",
-    "param_history = [params]\n",
-    "data_history = []\n",
-    "\n",
-    "for i in range(num_steps):\n",
-    "    # compute gradient and current objective function value\n",
-    "    (value, sim_data), gradient = val_grad(params)\n",
-    "\n",
-    "    # multiply all by -1 to maximize obj_fn\n",
-    "    gradient = -np.array(gradient.copy())\n",
-    "\n",
-    "    # outputs\n",
-    "    print(f\"step = {i + 1}\")\n",
-    "    print(f\"\\tJ = {value:.4e}\")\n",
-    "    print(f\"\\tgrad_norm = {np.linalg.norm(gradient):.4e}\")\n",
-    "\n",
-    "    # compute and apply updates to the optimizer based on gradient\n",
-    "    updates, opt_state = optimizer.update(gradient, opt_state, params)\n",
-    "    params = optax.apply_updates(params, updates)\n",
-    "\n",
-    "    # save history\n",
-    "    objective_history.append(value)\n",
-    "    param_history.append(params)\n",
-    "    data_history.append(sim_data)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "9760808f-512b-4806-85b6-809ba15e389c",
-   "metadata": {},
-   "source": [
-    "## Analyzing results\n",
-    "\n",
-    "After the optimization is finished, let's look at the results."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "id": "09aac45c-d7d8-4fd1-a599-0a7888257120",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "_ = plt.plot(objective_history)\n",
-    "ax = plt.gca()\n",
-    "ax.set_xlabel(\"iteration number\")\n",
-    "ax.set_ylabel(\"objective function\")\n",
-    "ax.set_title(\"optimization progress\")\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "bdbff561-b56c-4e83-8841-3c1ea7d5ba9e",
-   "metadata": {},
-   "source": [
-    "Next, we can grab our initial and final device from the history lists."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "id": "d782b925-2af0-4bb8-bf87-88526a3f359f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sim_start = make_sim(param_history[0])\n",
-    "data_start = data_history[0]\n",
-    "\n",
-    "sim_final = make_sim(param_history[-1])\n",
-    "data_final = data_history[-1]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "63a876ae-1d19-4f38-a958-170c9576b21a",
-   "metadata": {},
-   "source": [
-    "Let's take a look at the final structure. We see that it has a smooth design which is symmetric about the 45 degree angle."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "id": "7ec2b20e-74de-4b82-949f-591696437315",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ax = sim_final.plot(z=0.01)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "95b503b9-a29e-455c-aef3-e4a97a0c59b2",
-   "metadata": {},
-   "source": [
-    "Now let's inspect the difference between the initial and final intensity patterns. We notice that the final device is quite effective at coupling light into the output waveguide! This is especially evident when compared to the starting device."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "id": "a2dddafd-8cee-42fd-a1c7-ddc94f4ef9e8",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAt4AAAJOCAYAAACA8gAcAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/OQEPoAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOz9eZxkVX34/7/OuVvtVd090z0rM8MiMIIiSxAVl0jEgPmpIVHydQHlByaC+RA+cSFRNISIEhP5aIyoSdDkI59EE02ixgU1ytePiAQkguyyDbN2Ty+13+2c7x+3qnqZ3qdnqpfz1Pug+9atqtPdc+u+613v8z5Ca60xDMMwDMMwDOOIkt0egGEYhmEYhmGsBSbwNgzDMAzDMIyjwATehmEYhmEYhnEUmMDbMAzDMAzDMI4CE3gbhmEYhmEYxlFgAm/DMAzDMAzDOApM4G0YhmEYhmEYR4EJvA3DMAzDMAzjKDCBt2EYhmEYhmEcBSbwNhbt0ksvZfv27d0exiTbt2/n0ksvPWKP/9RTTyGE4POf//wRew7DMAxj5TDXQmMhTOC9Ctx2223cfPPNR+Sx9+zZw4c+9CHuu+++I/L4hmEYhrEUzLXQWAnsbg/AOHy33XYbDzzwAFdfffWSP/aePXv4kz/5E7Zv385pp5026bbPfe5zKKWW/DmXs23bttFoNHAcp9tDMQzDMCYw18Kjx1wLF88E3sa0oiia84VkLZ5wQghSqVS3h2EYhmEcBeZaOD1zLVw8U2qyzFUqFa6++mq2b9+O53n09/fza7/2a9x7770AvPzlL+cb3/gGTz/9NEIIhBCdWrMgCLjuuus444wzKBaLZLNZzj33XP7zP/9z0nO0a7U+9rGPcfPNN3PcccfheR5//dd/zVlnnQXA2972ts7jt2u6pta1TXycz372s53HOeuss7j77rsP+dm+/OUvs3PnTlKpFKeccgpf/epX510rp7XmhhtuYMuWLWQyGV7xilfwi1/8YtpjR0dHufrqq9m6dSue53H88cfz0Y9+tPNiGoYhvb29vO1tbzvkvuVymVQqxR/+4R9O+hmn1rU9/PDDvOENb2D9+vWk02lOPPFE/viP/3jSMbt37+btb387AwMDeJ7Hc5/7XP7u7/5uzp/VMAxjrTPXwumZa+HKYzLey9zv/u7v8s///M9cddVV7Ny5k4MHD/KjH/2Ihx56iNNPP50//uM/ZmxsjGeffZaPf/zjAORyOSA5Uf7mb/6G3/md3+Hyyy+nUqnwt3/7t5x//vn89Kc/PeTjsltvvZVms8kVV1yB53m8/vWvp1KpcN1113HFFVdw7rnnAvCiF71o1jHfdtttVCoV3vGOdyCE4KabbuI3f/M3eeKJJzqZgW984xu88Y1v5NRTT+XGG29kZGSEyy67jM2bN8/r93Lddddxww03cMEFF3DBBRdw77338qpXvYogCCYdV6/XednLXsbu3bt5xzvewTHHHMOPf/xjrr32Wvbu3cvNN9+M4zi8/vWv5ytf+Qqf+cxncF23c/9//dd/xfd9Lr744hnH8vOf/5xzzz0Xx3G44oor2L59O7/85S/52te+xp/92Z8BsH//fl74whcihOCqq65i/fr1fPOb3+Syyy6jXC4fkY9GDcMwVgtzLZyeuRauQNpY1orFor7yyitnPebCCy/U27ZtO2R/FEXa9/1J+0ZGRvTAwIB++9vf3tn35JNPakAXCgV94MCBScfffffdGtC33nrrIY9/ySWXTHre9uP09fXp4eHhzv5/+7d/04D+2te+1tl36qmn6i1btuhKpdLZ94Mf/EAD0/4sEx04cEC7rqsvvPBCrZTq7P+jP/ojDehLLrmks+9P//RPdTab1Y8++uikx3jf+96nLcvSzzzzjNZa629/+9uHjFFrrS+44AJ97LHHHvIzTvx9vPSlL9X5fF4//fTTk+47cWyXXXaZ3rhxox4aGpp0zMUXX6yLxaKu1+uz/syGYRhrmbkWHspcC1cmU2qyzJVKJe666y727Nmz4PtaltV5x6qUYnh4mCiKOPPMMzsfz0100UUXsX79+sMe8xvf+EZ6eno637ezA0888QSQTFK5//77eetb39rJSAC87GUv49RTT53z8b/73e8SBAHvete7EEJ09k/3TvnLX/4y5557Lj09PQwNDXW28847jziOueOOOwD41V/9VdatW8c//dM/de47MjLC7bffzhvf+MYZxzI4OMgdd9zB29/+do455phJt7XHprXmX/7lX/iN3/gNtNaTxnH++eczNjY27d/DMAzDSJhr4aHMtXBlMqUmy9xNN93EJZdcwtatWznjjDO44IILeOtb38qxxx47r/t/4Qtf4C/+4i94+OGHCcOws3/Hjh2HHDvdvsWYetK1X3hGRkYAePrppwE4/vjjD7nv8ccfP+eJ177/CSecMGn/+vXrJ73IATz22GP8/Oc/n/FF9MCBAwDYts1FF13Ebbfdhu/7eJ7HV77yFcIwnPXFpv0Cesopp8x4zODgIKOjo3z2s5/ls5/97KzjMAzDMA5lroWHMtfClckE3svcG97wBs4991y++tWv8p3vfIc///M/56Mf/Shf+cpX+PVf//VZ7/u///f/5tJLL+V1r3sd7373u+nv78eyLG688UZ++ctfHnJ8Op1ekjFbljXtfq31kjz+Qiil+LVf+zXe8573THv7c57znM7XF198MZ/5zGf45je/yete9zq+9KUvcdJJJ/H85z//sMcA8OY3v5lLLrlk2mOe97znHdZzGIZhrGbmWnh4zLVw+TCB9wqwceNG3vnOd/LOd76TAwcOcPrpp/Nnf/ZnnRebiR8xTfTP//zPHHvssXzlK1+ZdMwHP/jBeT/3TI99OLZt2wbA448/fsht0+2b6f6PPfbYpGzH4OBgJ5PQdtxxx1GtVjnvvPPmfNyXvvSlbNy4kX/6p3/iJS95Cd///vcPmY09Vfv5H3jggRmPWb9+Pfl8njiO5zUOwzAM41DmWjj9/c21cGUxNd7LWBzHjI2NTdrX39/Ppk2b8H2/sy+bzR5yHIy/25747vquu+7izjvvnPcYstkskLQhWiqbNm3ilFNO4e///u+pVqud/T/84Q+5//7757z/eeedh+M4fPKTn5z0s023Ytkb3vAG7rzzTr797W8fctvo6ChRFHW+l1LyW7/1W3zta1/jH/7hH4iiaNaP1iB5IXnpS1/K3/3d3/HMM89Muq09NsuyuOiii/iXf/mXaV+UBgcHZ30OwzCMtcxcC6dnroUrk8l4L2OVSoUtW7bwW7/1Wzz/+c8nl8vx3e9+l7vvvpu/+Iu/6Bx3xhln8E//9E9cc801nHXWWeRyOX7jN36D17zmNXzlK1/h9a9/PRdeeCFPPvkkt9xyCzt37px0ks/muOOOo1Qqccstt5DP58lms5x99tmHXQP34Q9/mNe+9rW8+MUv5m1vexsjIyP81V/9FaeccsqcY1u/fj1/+Id/yI033shrXvMaLrjgAn72s5/xzW9+k3Xr1k069t3vfjf//u//zmte8xouvfRSzjjjDGq1Gvfffz///M//zFNPPTXpPm984xv55Cc/yQc/+EFOPfVUTj755Dl/lk984hO85CUv4fTTT+eKK65gx44dPPXUU3zjG9/oLC/8kY98hP/8z//k7LPP5vLLL2fnzp0MDw9z77338t3vfpfh4eGF/xINwzDWAHMtnJ65Fq5Q3WmmYsyH7/v63e9+t37+85+v8/m8zmaz+vnPf77+67/+60nHVatV/f/8P/+PLpVKk1oQKaX0hz/8Yb1t2zbteZ5+wQteoL/+9a/P2Proz//8z6cdx7/927/pnTt3atu2J7UPWsjjAPqDH/zgpH3/+I//qE866STteZ4+5ZRT9L//+7/riy66SJ900klz/m7iONZ/8id/ojdu3KjT6bR++ctfrh944AG9bdu2SS2UtNa6Uqnoa6+9Vh9//PHadV29bt06/aIXvUh/7GMf00EQTDpWKaW3bt2qAX3DDTcc8rzTtVDSWusHHnhAv/71r9elUkmnUil94okn6g984AOTjtm/f7++8sor9datW7XjOHrDhg36la98pf7sZz87589rGIaxVplr4czMtXDlEVp3ocrfMGZw2mmnsX79em6//fZuD8UwDMMwusJcC1cvU+NtdEUYhpNqygB+8IMf8N///d+8/OUv786gDMMwDOMoMtfCtcdkvI2ueOqppzjvvPN485vfzKZNm3j44Ye55ZZbKBaLPPDAA/T19XV7iIZhGIZxRJlr4dpjJlcaXdHT08MZZ5zB3/zN3zA4OEg2m+XCCy/kIx/5iHmhMQzDMNYEcy1ce0zG2zAMwzAMwzCOAlPjbRiGYRiGYRhHgQm8DcMwDMMwDOMoWFM13kop9uzZQz6fPyLLvxrGWqK1plKpsGnTJqQ07+ENYyUw10HDWDqLuQ6uqcB7z549bN26tdvDMIxVZdeuXWzZsuWIP08cx7z4Jc/jlOfu4G/+5utH/PkMYzXas2cPn/zkJ7HtQy//WmtGRkZYzNQv27YnPabv+4t6nMMhhMDzvM73URQd0qrvaHBdtxOEKaUIguCoj8H8PcYdzt9DCEFPT8+sb1I//OEPL+g6uKYC73w+3/pKAuadvmEcHg2oCefVkfWFL/wxu58d5Of//Uuuuuo+TjvttKPyvIaxmuTzeWzbJpNymZqg0xq2b9iEJRd+fVRac7CiAHBtQTHTnU/BxuqKIEoCzL68RHYhqx9EmrF68rsoZiSuffTHYP4e4w7n7xErzVBZMdOwVfKwC7oOrqnAe/wdi8AE3oaxNI7Gx9WNRoPrrvtbPvrR3+Vn9z3GH/7h/5/bb7/bfFRuGAvUPmekBMceD8aU0igNnmsvOFBUWnOwHOPYEs8WNENNrAT5jLWkY59LpR6jtCCXkviRphEI+grWUQ32glAxWo9Ju8nvth5AxpO4ztELfM3fY9zh/j2CSCNliBQgp3lDGkZJ5L2Qa5EpzDQMY9n7y4//Phs39vGGN76Ca699Mz/72WN8+9vf7vawDGPNawd5YaxZl7foK9gU0pJyQ1Gpx0dtHJV6TLmhKKQlfQWbdXmLME7Gpo5SiUUQKoYqMY4lWFe0WVe0cSzBUCUmCNVRGYP5e4xbDn+P6ZjA2zCMZW1wcJCbPvp/+OhNv4uUklIpxx+//y285z1XEsdH70JiGMZkU4O8dhYxn7GOarA3MchrZ3VdRx7VYG9ikNfO6kqRfH20gj3z9xi3HP4eMzGBt2EYy9qf/Mk7eOlLn8/LXnZaZ9/v/d5rqdWafP7zf9S9gRnGGjZTkNd2tIK96YK8tqMV7E0X5LUdrWDP/D3GLYe/x2xM4G0YxrL16KOP8rd/+w0+fOPlk/a7rsMNN1zGddf9HfV6vUujM4y1aa4gr+1IB3uzBXltRzrYmy3IazvSwZ75e4xbDn+PuaypyZWGYaws1157OW95y6vYuXP7Ibf99htewcdv/jJ/8Ze/zwfe/zdHf3CGsYJpnUyobFNaozWE0eyBkNaakWpMFGt6shYI0elaMR3PlWRizWgtuU82vTQT/GqNmGpTkUtJPFfOOgaEoJiWjNRiDoxqenLWkkzMDkPFSC3GtgSFjCSKIen2NL1CRjJSjTkwFtGTtXCWYMKl+XuMOxJ/jzDSaK1RANPE54t532ACb8MwlqUf//jHfOc7d/PwI/972tuFENx00+/x//uNa3nHFR+mv7//KI/QMFamdj/nCXE3SidBhB8qYjV9EKR1q8uDgFzKItYQB3NnCy1LkE1JglijG0lgdDiiWBPGmmxKYlmC5jzGAMmYg0hRritcW8zYIm4+lIIgUnhO0p7ODzWzBXlt6VZQWvMVbswhLR0Xwvw9xh2pv0cUJ91+lrIPiwm8DcNYlt7z3t/lmv/5RjZs6J3xmHPPfR6veMULuP763+Wv/uorR3F0hrFyjY6Osm1gIylvPAQII40fKi44q0gxe3TbzhnGcjVWi/mPu8fwHIkzTZvNpr/wBYFM4G0YxrL08/9+ir/+6z+Y87jf+q2X8bnP/b9HYUSGsTporbEtcUi/7lgJilmL3rwJDQyjzbYEjn3o+QIQRQvPhZuzyzCMZUsoBXMsMSyO8jLIhrHSeZ5HFJvzxjAO12Imh5rA2zCM5Uup8TV5ZzvGMIx5U0oxVlekXHVUV1Q0jNVEaU25vvDrjwm8DcNYvrRe3LRxwzBmFAQBloShSsy6PIsOvhtxg4caD03ad3L6ZNJWeimGaRjLVruFY7yIvI8JvA3DWL7ieM5SE8zqlYaxYIWMpBGITvB9WC0lDGMVm/qh6sS+6cXMwt+0ms+YDMNYvtqlJrNtJiNuGAs2dRGRsEvLZxvGchdEqnN+TF2saDGtGE3gbRjG8qX0PAJvEzAYxmJMDL5HarGZLmEY0xAiOT/8UM1rhdC5mFITwzCWLaEiRDxHqYmJFgxj0drB9/4RhR+Zc8kwpnJtQRTDUDkpa1xfWHzQDSbwNgxjOWtnvOc6xjAMwzBWAFNqYhjG8qX03Jup8TaMRZvYncGzTUhgGFMFkSZWsK5g4drJnIjgMOZEmIy3YRjLVxyZriaGcYRMnCjWk7Uwa+oYxqG0Ts4Pz5H0FQQHy/F4N6BFMG9vDcNYvrROJk/OtmGiBcNYqKndGRyzkI5hTMu1Zef8mNoNaDErwJozzTCM5UubdoKGcSSU6+qwuzMYxlogp5weE4PvsUWsXGnONsMwlq/51HibyZWGsSCu6yY1qyboNoxFaQff1iJOnxV7xn3kIx9BCMHVV1/d7aEYhnGktFeunG0z7QSNNWqx10EpJcWMNEG3YRwGKQSFRaxcuSInV95999185jOf4XnPe163h2IYxhEklELMEVjPdbthrEaHcx30fX9RK+4ZhjGZFGtg5cpqtcqb3vQmPve5z9HT09Pt4RiGcSRpPfdmGGvM4V4HtTlvDKNrVlzgfeWVV3LhhRdy3nnnzXms7/uUy+VJm2EYK8h8Sk1MO0FjjTHXQcNYuVZU4P2P//iP3Hvvvdx4443zOv7GG2+kWCx2tq1btx7hERqGsaTMAjqGMYm5DhrGyrZiAu9du3bxP/7H/+CLX/wiqVRqXve59tprGRsb62y7du06wqM0DGNJzdVK0LQTNNYQcx00jJVvxUyuvOeeezhw4ACnn356Z18cx9xxxx381V/9Fb7vY1nWpPt4nofneUd7qIZhLBWl5i4lMZMrjTXCXAcNY+VbMYH3K1/5Su6///5J+972trdx0kkn8d73vveQFxvDMFaBdlZ71mNMxttYG8x10DBWvhUTeOfzeU455ZRJ+7LZLH19fYfsNwxjldDzWCDHlJoYa4S5DhrGyrdiAm/DMNagqNXVZDaxKTUxDMMwVoYVHXj/4Ac/6PYQDMM4kkzG2zBmZa6DhrGyrJiuJoZhrEFag1ZzbAsLvOM45gMf+AA7duwgnU5z3HHH8ad/+qeTFhXRWnPdddexceNG0uk05513Ho899tikxxkeHuZNb3oThUKBUqnEZZddRrVaXZIf2zAMw1idTOBtGMbyFcVzbwvsavLRj36UT3/60/zVX/0VDz30EB/96Ee56aab+OQnP9k55qabbuITn/gEt9xyC3fddRfZbJbzzz+fZrPZOeZNb3oTv/jFL7j99tv5+te/zh133MEVV1yxZD+6YRiGsfqs6FITwzBWuSNQavLjH/+Y1772tVx44YUAbN++nf/zf/4PP/3pT1sPp7n55pt5//vfz2tf+1oA/v7v/56BgQH+9V//lYsvvpiHHnqIb33rW9x9992ceeaZAHzyk5/kggsu4GMf+xibNm1a4A9qGIZhrAUm470ExFL+T8hkO0L/M4wVRel5LKKzsMD7RS96Ed/73vd49NFHAfjv//5vfvSjH/Hrv/7rADz55JPs27dv0nLcxWKRs88+mzvvvBOAO++8k1Kp1Am6Ac477zyklNx1112H+1MbhmEYq5TJeC8FsZCAdp7vdToPuciODTNkAWcLvjVmkpqxzKh4XgvoKKUol8uTds+0cMj73vc+yuUyJ510EpZlEccxf/Znf8ab3vQmAPbt2wfAwMDApPsNDAx0btu3bx/9/f2Tbrdtm97e3s4xhmEYhjGVCbyXgJTpI/r4Ws8UfE+zv33shPh6+oD60PsKxJwf25vg3Diq1PxKTXbt2kWxWJy0+4Mf/CAf+tCHDjn8S1/6El/84he57bbbeO5zn8t9993H1VdfzaZNm7jkkkuWcPCGYRiGMZkJvA+TQGAtSeA9NROeBMZaK6YmqfWEoHlyUB53jp24X0wMsjv7rWmCaHVo9n5KID4xY26CcOOIm1fgDVu3bj1kRb+Zlsl+97vfzfve9z4uvvhiAE499VSefvppbrzxRi655BI2bNgAwP79+9m4cWPnfvv37+e0004DYMOGDRw4cGDS40ZRxPDwcOf+hmEYhjHVmgy8LctGLKg8ZGZCSPryx00Khg85ZpbyEq3ptDFTSiGE1dofo3SE0uGk59JaEetoUmCtdYxGoXVrmxC0J8dN+B7Vua8g7uxPtP7b+l6jpy95aY13atmKCcSNJRerpHPJHMdIKSkUCvN6yHq9jpSTz0nLslCt7ig7duxgw4YNfO973+sE2uVymbvuuovf+73fA+Ccc85hdHSUe+65hzPOOAOA73//+yilOPvssxfwAxrG2qaCEK00CJHkfSyJkHLJrtGGsdysycD7lFNOwbKsJXksISzSXv/cB87/EWnHylrbxLFCK4mKNXGkUKEgjgQqpPW1JtR1Iu0DoFBE2u8E40qHKBWhWgG30mEnIFedAF5NDsoFQAwTgnZ08iI4HozPHoibINxYEvMsNVmI3/iN3+DP/uzPOOaYY3juc5/Lz372M/7yL/+St7/97QAIIbj66qu54YYbOOGEE9ixYwcf+MAH2LRpE6973esAOPnkk3n1q1/N5Zdfzi233EIYhlx11VVcfPHFpqOJsSL4B0YREy6DEYIAi73//iA1wpnvOEFgR4ysG560b8/QAdzoMEMLAcK2kLaFcGykayNdB+k5WCkXmXKx0h5WNoWdSWFlPIQ0vSKMlWFNBt5LLWX3AKCZPjMnWFyQP/XxBBaauBPUCgQSmzgooAOHOJCIhoNqCqgLGrpJU9RRxASiQaxDInwi3SRuZdNj5SdfqzAJ1FU0KSDvfC1itFat0FrNGYibINxYElrN3ad7gYH3Jz/5ST7wgQ/wzne+kwMHDrBp0ybe8Y53cN1113WOec973kOtVuOKK65gdHSUl7zkJXzrW98ilUp1jvniF7/IVVddxStf+UqklFx00UV84hOfWNBYDKMbXNdd3q/KGnQYE4cxNIK5jxdgZ1NYuQxOPo1dzOIUc9jFLFbKNdlzY1kxgfcSKFgDcx+0CGqGQF6j0TpGCCvJbKc0pNq3xSgUNg49QQHqvdh1F9nU0FTUg5C6DvEJaFoNfKtBIBoErax5pP0kGG8H5O2MuY7QrSBc6WhCID6eEe8E2KK9b3Im3ATgxoLFOik3mc0CF9DJ5/PcfPPN3HzzzTMeI4Tg+uuv5/rrr5/xmN7eXm677bYFPbdhLAdSSmrCxSNYHT2FNUTVJlG1iT+lqZBMOTilPG5fHrcnj9tXxMqmTDBuLIm6v/DOcybwXgLr4yMTeMP0wapOikKmfJ/88VUr6FUotKPRJQUliAhxtEfKz9BfE2RjEM0Qvxkx4sc0dUxVB9RFg4Zdpymq+LpKqOuEqkGsfCIVtLLkAUpFTMyIa8JDg3AxfRbcBODGvM2n1GSRHTcNY63yfZ+YLGU8CvirI/iegWqG+PuG8feNl8RYaRd3XRFvfQl3oAe3lDOlKsaCVeoxNX/h8YwJvJfAhtTsXU2mO52nixXkHLfDeNDa/nS9/V+FBp3cT+vkKAUordEaYq3QaGIPtKsJiBG4OLFkq6/oUSF20+dgPc9YoBn1Y2oqpKybVK0Kdbs8KRCP4gaR8pMgvJUNPyQInyELbspQjHmbV6mJibwNYyG01uR0QAOvE3yvJXEjoLFrkMauQQCEa5NaX8Lb2EdqYy92PmMy4kbHdNWMlXpMuaHIegv/d2IC78Om2JI9mieomPSPoP2lmhCIayBufR3r5KCoFZTHShNriLRGKQiVQnswolxkMYcdxpwQh/SEdfyGxe5GmoPNEmNBzEgUUKGWBOLWGE1dJlR1ItUgjBudIFy1g/FOAK7Q7bcVpgzFWIhIQzRHYB2bfzuGsVAWmiI+Y63gO8M8aqlXKR1ENHYP0dg9BICdS5HatJ701nW463uQlsmGr2VBpEm5mnabt3bQXUhLLGky3l1xTDo6ZN/EUGGmU3Y+x7TN9uZ7YiCuAN0KzpOMt2h9Wi+IgFgLIpX8N1QQKUmoIVStzbWoa5cxlcYtajZGPufoCkEt4olahv2NDIPNPkaCkDHdYNQapWaN0LTLBKpKFDdaGfHmhCx4ON4hZWoZignAjdnope9qYhhGwpkQfFdx8WaYV7TWRNUm1Ud3UX10F8KxSG9eR/qYAVIb+5D20nREM1YOrTUj1Zj+kqDWUJ2gO5+xqDcPjf/mYgLvw6U1W3ONI/LQckIQKqYEpHN9CpZkvgUK0cp4C5RKvo+UJFKCUEsCJQi1wI8FQfu/CoLYoqnAVzb/HWdwU4qBUoNzxRAjZXii5rKr7nGgUWTI38iIrjNmjSRBuB6jEQ63asOD8Qy4TjqniDkCcBN8G21a6aTH72zHmH8uhrFo7eB7BA8W2YFrvmI0VUKKuEf0eZaSDmPqT+2n/tT+VhC+nsyODaQ29Jq68DXCtSXVZsze4STIbgfdi2UC7yWwsa98yL6ZgoGJAfPUY6YG00LoSfvFxHNcTLh90v6JdSitLLICrZMAXMUkAXgsiWNBFNmEkSSIrSTYji38WFKPLRqxpKGSYLwRW1RUjh9FOdK9Mcf3jvJK9vLowTxP1z2eqXnsrxcZDDYyQoVBdxcNNUKgqoRxk6hVitLJgk+tA5+mBtwE4AaxWvKuJoZhTOagcVDoqcskL7Fv8ix/wS84gz7OZzMvoZ/0CgpDkiB8H/Wn9mGlXdLbBsgetxm3lOv20IwjSEpwbUHY+kAomz68N1wr51/8MpbdegQCRDn+305ALtsRePJfIVtfCzHh+NZt7Tu176PakzJbBd9ao6MYHUYQalSoUU2ImpLIl/i+TTNwaIQ21dChFltUI0k9ltQjiyejPh6nj551DV6Tfoao2uTnB3t4rJrm2VqaX1bzHBRjjDlD1KyD+HGZIK5NCMBtE4Abc5tXqcnRGYphrFZ1bAIsUke41KRGxCgB/8lefsA+1uHxa2zi19jMKZSQRzjwX0pxI6D68C6qD+/CXVcke9wmMts2IB1TirLaRLHGDzUZT+JHmoPlmL6ChVzkBFwTeB8mDdhbl/jdrpyS4m5/33mTJZK3YFIktf6yFZ1LMSEQl+P3EXI8IG8/hNJJKjxqdY0Io2TzI3QjQjdCVC0grirCqsSv29TqLtXApRw4VCKLamRRc9J8OzwRx4s5fet+fjX3FD9/op//O5RhVy3F3novg7rCqD1ExTpAUyUBeBjVWpMx5XgJio4mT8I05SdGMlFhjmPMvw3DWKw6NjUcMkSTyhuPFAvBAGlCFGOEfJEn+DJPcxw5LmArr2QjG5i9U9hyEwyNEQyNMfqzx8geu4ncCVtwCpluD8tYImGsyaUkPXmbIFQMVeJO8L0YJvBeCpv6jszjtoNoGA+kJ2aypSQJwsWU4FuiLTkecFvWeDAu5KEzORVJEB7HEEaIMED4AbLRxK418eo+2XKT0lidaKRKMCapVT3KDY+xwGUstCmHFj+PNnFvdSObe8u88zkPc+8j63lgLM0vK33srhfYH/UzbB2gah2kYY3gR5VOBlzpAK0l6Gi8C4rJfq95OlboubqamMDbMBalHXRnCXGJ8Q+zxrusQj4S3z/jgvP7qHe+dpD04qHRNIl5hDIP8wC38DBns35llqIEEdWHn6H68DOkN68jd/I2vP6SaU24wjmWIJtOzg3XkazL0wm+067patIdvT1zHzOxoHumk7B9TOt2PTXzDROy30mAfUhALSR6YsBt2Uma27LH7zvXUCd+4/uIRh2qNaxaHWu0gjdaIztco+/gKP5BSXXMY7SeYsR3GYtsymGBr1fO5leO288565/ivrt7+O/RHI9XenimmmdvKwCvyAM04tEkAx7XUCpIylCmKz8x2e+1aV4L6Jh/D4axUE1hE7aC7gwR0RKUeeyJGnxdP0sw/tnlIbwpwb1AkMYmjY1CUyVaFaUo7faEbl+B/M5tpLf0I+Z5DTaWF9ua/HebGHyHdbNyZVfowjxKTab+bWZbVWfSZMlDD9QTS1DaQXYnIy4XHGjPyvPQngelnvFwt1xBjo4iR0ZxhsbIHKjQNzhC/YDF2FiakWaKZxse9zYH+MnTA5yxbYi3vfgJ7r+zwL0jBR4u9/BMNcfeaB3DzoGkBCVOMuAibk7uA94uP5mS/TbB9xoxn8Db/FMwjAWxbRtf2ORbQfdS6yeFs4j1MCWCAg4FnFVTihIcLHPw/70fu5il8NztZLYNmG4oq0A7+N4/agLvrtCOd+QefLbgeWKwDeMF3Ef6pC7kUYU8HLM1yYgPHcQZHKK4f5Tc3jLr91Qp7c0z1Egz7Ns8GPbxX4+t4wVbh7n03Mf52R1F/ms4z8PlPp6t5dlLH8POPqryAM1otDUJs9mq/26Xn0zOfpvSkzVCadPVxDCWmG3beDoiI5Y+6F4qU0tRHmSMBxjlb3iU93Eq57O520NckGisxvCPf0H5/iconHqsCcBXAdeRFDML/xuawHu5m5rtm7g8due2CTPR5YSacCFhYq33keB56M2b0Js3Qa2OtX8/6b2DbH54P+t2VxkbTjNYyzDkuzwa9nDfQ7/Cr2zbz9vPfIqf3rWOe0YyPFZezzO1PPtkLyPuHqrxIH5UObT8xGS/1xyt5l4R3vTxNoyFiaKIlF6+QXebQlMjokaEhWAdHq9iE6cyj/LOZSqqNJIA/BdPUXz+caS3rDc14CvY1DKUed3nCIxjzRG1avLFxAhhmhKReR0zU5TRDrI7a8NPPk5M83G8nlSK0vrassCSaNsB1wPXmf75FiObQR27A47dgTwrJLtnN9ln97Ph6WGCXQEj+zMcqGZ41u/jvmcHaGYbvHX7AxBF/PCXm7lvdCuPlzfyrCpzILWbSryPZjSKH1WIVZNYBaBD0NGk1oPt1uUmAF+FTDtBw1hyUXRkg+4QNePrsYXEmqVWW6PxUZQJUGjS2JxLP7/OFl7CANlVErZEYzUO3vFz3PVFSi84AW99qdtDMo6S1fEvuMvEyFjrq4kvNDO9sMx1zJQXq/bH6J2AW0/e396npwTm7Uef2Pu7PRHTkghpgWOjXQdcN8lcp1LgLVHZjOugtm+H7dsR258ltWsvA08MUXp6iPUHMuyt5jhgu3yzeSZWucpvvug+Tnqwh58M9vDzkR6erGbYLUscdJ+lJgfxozJhXG/Vf/szlp+Y4Ht10ZFGR3OsXBmbv7lhLAeukKSxqc9SNx6g2MShrfYiFBVCmsS4SHaQ5zVs4ZVsYvM0x68WweAYB77zX6SP6af0ghOwcyunft1YHBN4L4XB4fGvlTr8GutJQXV738SAu/31hNu0mhCcz/C47TjfssAWIC2EkwTgeA7CawXg2TQ6nYVcbklKVPSWLegtWxBbnyX91G68J4coPDFE31CWfdUMg26WLz3zItZxkLde8Ag/+uEm7jyY4eHRTTzt59jn5KjIidlvOX35ian9Xn3mlfHWzPxG1zCMo2WHneXT1tnoePpr4PfYw9/zy873E0tJBNCDy+s4hlexmefRs6K6mByuxjMHaO4eIr9zG/md25G2WYhntTKB9xJQu0cmfKMPL1idGmS0g2s9nvHWU/cpnXyppjl+4mPAeMcUSyAskuy3LRGOBM9CeDYi7SEyKcikIJ9DF3LoQumwg/B2AC63PEVu07Oknhih9FSd3uE8e+w0g956PvezEq/qe5wT+w/y3ac2c99oicfLaXbJAsPus0h5AD+qQFRHaYlSHBJ8g2k7uGpM/Dc92zGGYXSdEILjRQF3htDiAZJrZZN41ZeSLIaOFeX7n6T+5F5KZ55EevO6bg/JOAJWzL/wG2+8ka985Ss8/PDDpNNpXvSiF/HRj36UE088savjEkDwjD/9xX+6hWpmO2bi7RNiRj0+l7D1hejs162v0e3v28fKyfeZcL92UbSUGiEU0o4RlkbaIF2QnkBkJDLjIHIuopBBFLJQLKB6eqCQn+YHmT+1fTts2oy95UlKm3aTeXyU0q4Ge8by5G2PHzdPJh6t8Yazf8axv9jAHYM5CqObedrPs9/JUZb7aIhhwrhGjOyUniSJTzPxclWJ5y41MYG3sVYs1+vgQiRZ7nDNlJIsRlRtMvSD+5LykzOeg51JdXtIxhJaMYH3D3/4Q6688krOOussoijij/7oj3jVq17Fgw8+SDab7erYhnfP/KLRnqy8kM4Lh3yyrsWE29qlFO3/th9fTCgDF4c8Z/t41fqvRCPQrdJvjSU1Eo1tKWw7xnEUjhdgp5vYuQqyYCEKKWRPBnqL6L4edN+6xU/OdB3Uic9BDKzH3fAU6x7dR/axgxQP5MnZGfbZWb64+xxOSu3lkpOe5dtPbeJnIz08XkmxW+YYdndRDwfxkZ3SE/BN3fdqo5l78qT58xprxHK+Ds7H6fTxNo7nXDasuVKSxWg8c4Dm3oOUTn8O2eM2me4nq8SKCby/9a1vTfr+85//PP39/dxzzz289KUv7dKoACHYVZ7HAjoLoPX0J9fE+EJNeMGalNSeGKRP2t8+dvx20bqnEEniXQqNRRKEO1LhSoVnR3h2RDoV4WXquIUqVs9BrL4MYn0B1vei1q9fdBZcl3rQZ/Qg1z1Dtv9ptj48Qv6pJvnRAnssjye9rTw40scbT72PLY9v5EdDGfKjx/BUnOGA61GV+zqlJ7FixrpvE3yvTFpp9Bw13trUeBtrxLK9Ds7TCRQ4gZ3dHsaKosOYkbseov70fnrPPtlMvlwFVkzgPdXYWNJJpLe3t8sjgWcaR3ABnZa5MuZqtsBjhnJvmFINI8ASSWhuC40jNa7QuJYmVYnJ2hHZwYhsyieTq+H1VrDWDyL798CGPvSGfnRf38J+sPa4th0Dfb3YfU/Q27ub9GMHye3Pk6ll2WtluG34hezM7OGN24f43t4+ssP9pBspdtseFbGPBsOEsSRWzWnrvk3wvTLpOGlgM9cxhrEWLafroHFk+fuG2fcfP6HnjBPJHLvRZL9XsBUZeCuluPrqq3nxi1/MKaecMuNxvu/j+37n+3K5fETGs7vWxRNgCZ86mTuZ9AWRQmABTqsBiicdPKlJ24psNUt+LKQ4FJDf1STbcxB3wwjWhn2ITX3oTRvQ/f0LH0AuhzrtechSgWzvMxzzyAjZp0KyY3nS0uVRdwsPjpR48/N+Ts/Dx5A7WCJVOZFnrQwjwqEWDhHGkgg6K1526r5N8L0yzWdypfmTGmvQcrsOGkeeDmOGf/Igjd2D9PzKyVgpt9tDMhZhRQbeV155JQ888AA/+tGPZj3uxhtv5E/+5E+O8GgkexrjKbl2Znrqm9HpMtYzHTPTG9mpczUnHjbx3e/ULPZCtGvuhGgF3wIsAY4U2FLgSYu0bZGxbLINj2ItQ6kc0HugSeGZKqkNFezNQ4id21FbNi+qL7javh1RKuKUnmB9cR/pxw6SGSySslLss3J89sBZ/Grv06xzbfJOhvTIDp6UHtJ1OnXfUVyf3ODFBN8r0nxWrjR/TmMtOpzr4Dve8Y4jOTTjCGvsGiQYGqP3xaeQGjCfdqw0Ky7wvuqqq/j617/OHXfcwZYtW2Y99tprr+Waa67pfF8ul9m6deuSj2lfPLrkjwkgDwm12/loEFoccpzoTJwU48cx8bgJ9d1zfEzVvjWp/ZZYQmC3NseSpCxBxrbI2hZ5x6FUT9Fbjeg72KDn2Tr5sYeRW/fD1g2orVvAWdgkTF3qQZ91OlbpMQqFp3EfGia9p0DKyuJJh7uax5FrjvBbW/fzLbtEangLT0Qp9rsOQuyjCa1Jl43k8UzwvSJpNXcpyZyBuWGsMod7HbzhhhuO9BCNIyxuBAx+714Kz91B4dQdiMNdP8Q4alZM4K215l3vehdf/epX+cEPfsCOHTvmvI/neXhLtRLjLIbF7iPwqIeeRJ1sNBaICUG4sFr7BZLW1zr5Lrmf7DzCxGB+rhnlotWSUGiB1BKpJRYWdmjhCQvXskhbkowtyTk2Rd+mp+mwrpZme6NM8dkDuM+OIvcOwtaNqGMW+KZHiqTzSTZDOvckWx4aJvVkhCfy2NJlUPZy+0GPi499lLyzgfTBfpyGw17HRgqHRpgsbGSC75VrXhlvE3gba8Ryvg4aXaCh/MCT+EOj9L74VGxTerIirJjA+8orr+S2227j3/7t38jn8+zbtw+AYrFIOt3dWb716OCSPI6eEGEIMU22e8K+dlCNGM92i1bQLRET9o8H28n9ZeeY9vGHPE87IJ8SlwtpIRDY2kVi48YuXuSRChyyls2wbTHkJls1shmoNOkfqlHcuxd37yhy/xB6+xb0+vUL+71s2QLpNE7ml6xP78d9PMI9WMQRHnJdlr8f2cnLevdRtG3cwV7cms0u20EImQTfEZ12gyb4XmHaC0PNdYxhrAHL+TpodI+/b4QD37yLvpecire+1O3hGHNYMYH3pz/9aQBe/vKXT9p/6623cumlly7osQ4ePIhcoo9lhLAJsz2LvG/7K40QAillsk9qpFRYlkTKdr9uNR5sdx6gHVC3M+HjwbaYGJCL8cBbICcF68l/Jwfgc/ZWFRILGyFsbOHgksGL02SiNLnAY8SxqEc2B4MsQ77HhmqT/qEq+X3P4BwYRWzfgNq+DbLzXzRB9/WhT3WxUw49qT3YjwzjDhaxZRpbevy0tpUNwUFeMdDEHSpilU9glz2hvKXVbtAE3yuLjkHNUWqiTMbbWCOW8jq4nGSO3ZiswKw0xDEqjtFhjApCVBCh/LDbQ1z24rrP4HfvoXTWSeSO39zt4RizWDGBt17ICjRzePbZXSxVOxCBILsEiQY9Ia2XBM5WEigLgWVJbFvguBaOY+G4Dq5n4boOrmNPCcrb5SfTBOWtx+s8x6RM+OR68LkkY5NJ8I2DJVwqMs0YOTJ+jkacYzSwGPYdhgKbDb7Hxkqd/gNVMvsfxxoahe2bkzaC81XIo07ZiXQcCt5utj80irtP4YoMlrDZJ9ehD1a4YOMwKSuHNXos0rYYRtJgmCCiE3yjBVrEJvhe7pRIttnM0PfeMFabpbwOev0l0qnxECCINDpQbDz3xfTm5xcaNOIGY42HJu3blD6ZtLW02XetFHEzSLZak7jWJKo1iMoNokqNqNown3yRrHswctdDhCMVSmc8x9R9L1MrJvBerjSaZquW+LAeZ64ykylBMkiktJFS4nkO6bRHJpMilXZIpTyEEEmQ3XkxkhMe59DgfFI2fZrnTwY5JbXYCuQDJFLYWNKhKdJUZYZA9VOp5ykHLmOhzVjoMhLYjPopNlWq9Bw8gDdURR4cQR97DLo0z08NPA/13JORnkvWe4atvxjF2q2QIofAZlAW+L+DFq/ZtA9LZLBHtiMtycFWHXw7+Nb4CI0Jvpc5rU1XE8NY64SU2JlUsnR6b+GQ21UUE5VrhKNVgpEK4cEywUgFHa3Nj8Oqjz5LWK6z7txTkYtdXdo4YkzgvQRUXFvSx5s2jjgkGJbQ+gjeDyTlSmtSpZBIYZHJpMnmMuRyHtlsplXGIiY8tgWaCcG5nBx8z5j9nm50opOdD2QNW3hEdpOaVaIal6jU81RCh0pgMRamGA1sNjc9NoyWyQ0/gz1SRuzYgtq+vd1MfHaWhTrxOUgpSdu72OyUsZ/RWCKHJRxkf5ZvHtzEeRv3IUUaMbwted/RmncyMfhGm+XllzMVC1Q8+78JpTALVxrGGiZtC7e3gNtbINvap5UiGK0SDI7iHxjB3z+6pkpW/H3D7P/Of7Hu5afhmNUulxUTeC8BzVFYOm/anmpJoNzp/91aBF4JSblSpVxp13pbZLNZCoU0hUKOTCZNO2rXejzrPSkoZ/qWg4d+1Nkal7YQQhCrgIgmsQ4JrRpNWaYhe6mFJWpRlmrkUItsKlGWSuCwuVald3gYb6SBHC2jtx+D7p1f9ludcDzSskiJp9ggyoinNULkAQfVm+aboxs5q28YV6axDybtloamBN+m5nt5m1fGW8EM84RntHv3bt773vfyzW9+k3q9zvHHH8+tt97KmWee2XpezQc/+EE+97nPMTo6yotf/GI+/elPc8IJJ3QeY3h4mHe961187WtfQ0rJRRddxP/6X/+LXC63sMEYhrHkhJR4vQW83gL5E49BK004WqG5b5jmnoP4gyOrviNSNFZj8Nt30/eK0/Cm+aTA6A4TeC+FJay7W5jJwbhuB8qdIF12hlatNKhWJXv2gON4FIt5ekoF8vl8chfNhNme8aT7zmziq1bcOr6V+Y5iYuUTSZ/QbtCUVRr00WgUqUcpGpFFNUpRjWw2+y4bqmUyY89gV+qIBdR+q2N3IAGPpxigDE8DJME3pPhZZR3HZEc5XXgwlGS+TfC9cmgt0HPUcOsFprtHRkZ48YtfzCte8Qq++c1vsn79eh577DF6esbf8N1000184hOf4Atf+AI7duzgAx/4AOeffz4PPvggqVQKgDe96U3s3buX22+/nTAMedvb3sYVV1zBbbfdtvAf1DCOIttee5d+IUUnK17YuZ04CGnuOUhj1wGae4ZWbVlK3AwY/O49rHvp80ht6Ov2cAxM4L0klk2Q1goax40H5lqITkAeBDGDg3WGBg9g2Q49pSI9vaVJmTox3c/UCewn3zb551dJ9YaI0TpAqYhY+cRWk8iqE1h1/KgPv5ajEds0Y5talKMe2WxqVChVD+CWG8hqDbVtK8wje6i2b0fGMZ7eNU3w7fKM1UNJjXL6Og81dAxaKrQTJxNaI0Ws2tl/TPC9zOh5lJpoJcCa/9/qox/9KFu3buXWW2/t7JvYD1lrzc0338z73/9+Xvva1wLw93//9wwMDPCv//qvXHzxxTz00EN861vf4u677+5kyT/5yU9ywQUX8LGPfYxNmzYt5Mc0jKPKtm3qviKT6vZIusdyHbLbN5DdvgEVxjT3DlF/cl8ShKvV9dqvw5ih/7yPnnOeS3b7hm4PZ1WJ4oX/WzGB9yozU7AoJu1uBZpCEEUxg0MBg0ODeK5Hb18vfX0lXLfdiH9C3feMKfBDMwVaJwFsLGooHRKrkFiHRIREsknIevxGkWbs0lSSpkrTiCw2+zXW1yp49QBZraN3bEX398/+Q0uB2r4NqRSe0vTrCvoZAeRIgm+HQUqkh8Y4rTeFOrgNZSdjrkOrz7dZZGc5mlfGW4NSinK5PGn/TAuH/Pu//zvnn38+v/3bv80Pf/hDNm/ezDvf+U4uv/xyAJ588kn27dvHeeed17lPsVjk7LPP5s477+Tiiy/mzjvvpFQqdYJugPPOOw8pJXfddRevf/3rD+fHNowjKooiar7Gq8fkMwus01qFpGOROWaAzDEDxM2A+tP7qP1yD+FItdtDWzJaaYZ//AA6ik27wSUShIqx+sI/KTGB9xoxXQA5HowngbgfNNi7dzd79+6lUCiwfn0fxeI868KmCco1EckkTh8lY8JIo3SMtiNiGRIIn8jvI1QpgtgiUB6+kviRxYZmhUxjL1YzQNTrqK1bwZrlAuE4qGO2IqMYTykGVAX9LGidQ2mHWDsMrStiD5Z5fi/Ew9tRdpL11jrZFIBWaGQn+Da6K6nxnivwFuzatYtisThp/wc/+EE+9KEPHXL8E088wac//WmuueYa/uiP/oi7776b3//938d1XS655JLOoiQDAwOT7jcwMNC5bd++ffRPeUNo2za9vb2dYwxjuYqiiKwnKDeSoMEE3+OslEv+xGPIPWcrwcEy1ceepfH0fnS8CkpRNIzc9RA6ismftIBWvsYhglAxVImxFtGx0QTea9jUYHxiIF4uj1Iuj+K6Lv39/azr6+ss5pMcPH3ZSfK4rUMAdJyUuSiIRSMp79AKZUXEdoSyYqKwj0hniLRNqBxClSVUFhvDCvn6IHbDRzaaqK1bZi89SadRW7ckZSfRXgbiCrESxDqHwkZpm6H1eeT+Cs/rSRMP7yC2QpQTorUiiiEWCqGjTvAt9DIqJVqDlBKoeQTeW7du5f7775+0f6ZlspVSnHnmmXz4wx8G4AUveAEPPPAAt9xyC5dccsnSDNwwlrmMJ/Gc8eDbc03P54mEEHjrinjrisQvOIHa47upPrqLuBF0e2iHbfSeR9FaUzh5W7eHsiJMLSdpB92OJUgv4rwxgbfRMTHAbAfhge/z7K5d7N27l/Xr1tHf349tW/PKBncCcK3RIkZoUMonmniQpVBWjIrWoRpZlHaItE2k04RKsikqU/THcPwI6QfozRtnX3K+kEdv2YyIkuB7Q1QhVjIJ7JVNrB0O9udhX5mdxSzh2LEoOwm8Gyg0CqVoBd+t8ZuSk67R8wm8FUgpKRTm9+nMxo0b2blz56R9J598Mv/yL/8CwIYNSQ3k/v372bhxY+eY/fv3c9ppp3WOOXDgwKTHiKKI4eHhzv0NY7lrZ7rLDUUm1liW6cs5HSvlUjhlB7mTj6H+5D4qDz5FVGl0e1iHZezexwBM8D0PYaypNWLcvD0p6O4rWDT9hXe1M4G3Ma1JQTiCOIrYt28f+w8cYP26dWzYsCEJwOf9gOPBt9YBh0wgt5IaNN3IobWN1haRThFpyaaoSk9Uw/P3IvwQghC9ceOMPb91bw+EPjIISQf72RCWCZQkVBkiJYm0zfBADrWnysn5IlHlBGInSoLvVtlJkpnXpuSky7Se+9e/0L/Oi1/8Yh555JFJ+x599FG2bUsuQDt27GDDhg1873vf6wTa5XKZu+66i9/7vd8D4JxzzmF0dJR77rmHM844A4Dvf//7KKU4++yzFzgiw+iedvA9WosXlb1bS6RlkTt+M9ljN1J/5gDlB54kGlvadTyOprF7H0MIYcpO5uBYgmpToXSEH+lO0C2nabk8HybwNuY0KdurFAcOHGBwcJD+/n4GNgxgtWqvBYcGQVP/WWp0q7tKQKzay9gn/0WSzNNs5lDaRiNR2kXpHLGCvrCOFx5AhhEiDFAbN8IM5QS6tw/RaCIbAZnmQTaFFSIlCVWaCEmkHIY3ZtG7q5yYKRE2jid2QmKdBODjbQZV6+cwWe9uUFqi1OzBgFaSqa01Z/MHf/AHvOhFL+LDH/4wb3jDG/jpT3/KZz/7WT772c8CyUfMV199NTfccAMnnHBCp53gpk2beN3rXgckGfJXv/rVXH755dxyyy2EYchVV13FxRdfbDqaGCtOPmPRCBSxSTLMi5CS7PYNZI7pp/70fso/fyJZtn4FGr3nUYRtmQmXs7AtgecImmFyfhxO0A0m8DYWqB18aq3Zv38/g4ODbNy4kfX96yf0AZ9jIUGt0Wi0iIhjn1AkK182kEhpIWKBCLIk/zwlGhfIgRb06hopfRAZK2SsUAP909d9Ow6qtw/ZaGI3fPKNMhvDKn4sCbVHFFvEymFoUxprt+b4uA8/3NGq944JWm0GtY5Nl5Mu0lqg5uzjvTBnnXUWX/3qV7n22mu5/vrr2bFjBzfffDNvetObOse85z3voVarccUVVzA6OspLXvISvvWtb3V6eAN88Ytf5KqrruKVr3xlZwGdT3ziEwscjWF0XxAqgkjj2KbUZCGElGR3bCR9zAC1x56l/MCTK3J1zJGfPoSwLdNqcAZKQRDpzqKCtYY6rAnJJvA2Fk2jiVXM7t27GRwcZPOWzZRKpdZtc63irdA6AiFRKiTCRwibpi4jpYUVW4ggjSVtBBLRXu99P/RSI6WHkUojoxg9sA5dmma1y1wO3deLaPjYfkTRr7M5tAi1JFAugbaJdIqhTRG5ZzXHRhsJZIPI8VGtzLcWkWkx2EVazaOryRy3T+c1r3kNr3nNa2a8XQjB9ddfz/XXXz/jMb29vWaxHGPFa9es2pYg5ZhSk8WQliR/0jFkj93I2P1PUH1018paFVPD8J2/wHIdUpvMIjtTBZHCtgT9JZtaQx12NyATeBuHTaPxA58nn3iSfD7Plq1bJmUGJ0va9QkEWmuEUCgVE4sQGTcJsJHSQkobK5bYPkhhI4XEEm5S1n1A00sdT41gKYVQMYQRurd3cstBKdDZHKKvB9HwcesRPY06zcjGj5Na7zC2iHSGwU0hG/d61EePwbfqKCdE6QilfdNisItiLYjnCKxX2VoXhnHUTJwoVshI/NCcTIdDug49Z5xI7vjNjNz9CP7+kW4Paf6UZuhHP2f9K0/H6yvOffwaIoSgJyuRQkyakAyYdoJGd2k05UqZhx58iIENA2zcuHHmOiitQSQlK4gYrSNiHSJ1k0BbWLJGTTjYsYUVCGxhYQuJLR0skUEOQok6HmNYaESsQMVJ5nti3Xc6jc7nEeuayKaP1xxlnV8liC2aKo0fW4TaJtR59g0McqJKUx/bQWT7RCogjpsTWgwmTNb76JnfAjrm43HDWKgo1ozWx7szRDEsvHDLmI5TzLH+ladTf2ofY/c+StxcGeUnOow5+IP7WH/+WTi5TLeHs2y4tuiUmcDkbkCebVauNJYBjWb/vv2Mjoyybds2crls6wY9qQ48+SwuBgRKxQgRE6sQKQJCXacpHBzl4EQSWwpsKbGlhYWLRCOlpigaeLKMBIRSoDS6UIRs60VDCnQ6Bbkcoq+JXQ/J1iqs82s04iTz7StJEDuEXg9P9g1xUlSkUd9O6NQJokqrxeDkLicm+D465lfjbQJvw1gIIQRjdUXKtSZMFDOvZ0tJCEF2x0ZSG/sYvedR6k+tjIW14mbI0H/+N/3nn4nlOt0ezrIwXf6wHXwPV6NDb5yDCbyNI0Kj8X2fRx99lPXr17N58+YJC/BMLjcBjRAarSOUtlA6JFJNAunSlCkcZWOHEkcIHNHKfksPu6aRUiEsH1dUkkeUMgm+4xjSKbDsZEunIZ+D3iZWPaBQ91nv12nEkqZyCWKLUKUI8yWe9Q9yXLieerSVmj2EUhFaJBmLifXexpEXa0E8R+BtSk0MY2E8z8OSh9+dwZiblXLpe/EppLcNMPrTh1bEAjxRucbBO37Oule8ALmYWoo1Ip+x8EPTx9tYRjRJZnhwcJByucyOHTvIZNKTV70USdZbY03KegvLxiYgEA184dJQNl4kqFgWjhQ4wsKRLnZNYdsKYYc4ThUp5Xj+Uyt0q9Zc2zakUohiDln3sashpVqdeuTQiCSN2KYZWwTNFOH6AgeaY2wd3sKw/TSx8tFhRKwVAmVKTo6ieZWamIy3YSyIUopCRpqg+yjKbFmPt67IyE8forFrsNvDmZO/f4Sxex6h51dO7vZQlrWMZ1auNJaZdvDt+z4PP/IImzdtYmDDAIdmvWOEkJ2st9YRkWoSSpem8LCVTSO2sCOBKyWuFLihhSdd3FqMZSuk5yPsGsKxEEKgtULECt3+uMx1kix4IYPV2yRVrdPXrNGMLOqxpBlLmrGDH2QobK1Ta8b0NLYS2o0k6z1NyYlxZGnN3KUmpsbbMBYkCAITdHeBlXLpO/d51H65h9H/egQdL+/WJ9XHdmOXcuSfs7XbQ1lVTOBtHHHt4But2b1nD5Vqle3bt2Hb7pSsd7I8+MSst6WbBNLBFw5N5eBEgoYU1KTAtSxSUuM1XVwrxh5uIJwmli0RQiCkSNoaxl5SbgLgOJBNIwpp7L6QbDWgt9mkFtk0YpdGZOHHHr4qEBx7kGMeOoaGPUaoGsQqSEpO2l1OiE3W+wgzXU0Mw1hNhBDkjt+Mt67I0I/uX/YrX47e8yhOKUeqf5qWvcaimOId46joBKdaUy6XeeihR6nVqq2VLDW6vRG3st4RSgXEOiDSTULh4xPSjGMakaYRQz2CSiSpRA5V36VRcYhGFWqkAaM1GKsiKlVEowmhnzyPZYHnQi6NLKZw+wSFQoO+lE+fG9HrQdG1KJAmb+dJH2vTr7eTddbh2Bmk8EDYyRuJVsZImFKHI6ZdajLbhsl4G4axwjilHAPnn0Vm+0C3hzI7pRn+0f1EDb/bI1k1TOBtHDUTg+8w9Hn0kccZGhrsLCOvdQQkfb2VClE6JiIk1iGBaOILH1/HNJUaD75jSTWSVEKXatOjWbaIR2LUaBPG6lBtQKOB8EOIY5ACHBuyaSikkT0u6Z6YnkyDPi+k11X0eIK845BVWVS2zsZNfZTEZlJ2CctKIYSTLHGPnH66s7FkNAI1j80wDGOlkY5N74tOoXT6CXOtONdVcSNg+Ef3o9XyLo1ZKUzgbRxVE4NvTcyuZ3aza9ezrVuT1Sw1SdAd6wClAkLtT8h6BwRxjB9rGhE0YqhFFtXIoho4NOoeQVmixkJ0pZkE3rUG+D4ijJK6BGklJSeZFLKYwu6VZAsBPSmfPjemx4WSa1GwUqTIEfYf5IT88WTt9bh2Hku6iHbWu8VkvY+MWIk5N1NqYhjGSiWEIH/yNta/4gVId/lW//oHRhn7+RPdHsaqYAJv46ibGnwPDQ7x+OO/RMUxWsdorVE6TJaSVz5KJ8G3LxoEcjzr3YzbWW9BPZLUQpua7+DXbaKKRpV9qDah4UOjCWGIiGN0O+vtOZDxkAUPt6QoZJv0eD49TkzJhYJjkVE5HJEh2HaQjfYOUnYJ28qYrPdRMp+Mt+lqYhjGSpfa2Ef/q87CzqW7PZQZVR58iua+g90exopnAm+jKyYH30nd98OPPEYYBEnWW8coFXWC70g3CXUTnwZN4ePHEc1Y0WxnvWNJPbaphzaNpk1Yk6i6QtUDqPvghxAEoGKE0knJiedCOoXIuVglm3QhoOT59LohJVdT9AR5kSKt80hLUthhUbQ24dl5LJkyWe+jQOv5bSvNvffey7XXXsvISLKk9Pvf//4uj8gwjG5ziln6zz8Ld90yXbJdw/CPf0HUXP69yJczE3gbXTMefMdoNM1mk4cf+SXNZqNVchIRq5BYB8TKJ1J1QpJa76aOWuUmSda7GYtW5tumETgEvk1cA10L0fUgyXgHIYQRqDjJVtsTst45F7ckyOV8il5IjxNTdCBvJ7XeKZFDpgO2DGwibfdhW6nOREuT9T5yFEk7wdm2ldhO8IorriCXy/H617+esbExvv/973d7SIZhLANWymX9r55OavO6bg9lWnEjYOTOB1ttgI3FMIG30VXjrfgUWsfJpMtHn0g6nugITUwcB62st0+oGwSiQUM0aaoIP1Y04yTr3YglDWXRiCZnvXUzBD+CZpAE37ECrZJg2bFbWW8PWbBIFSKKKZ+SG1F0FHnXoiBTpFUOR3jI9WU2Z48jZZeQ0kUIx2S6jyDVWrlytm0lTvdJpVL88R//MX/+53/OZZddZi5ihmF0SMdi3UufR2bHhm4PZVrNPUPUfrm728NYsUzgbXRdu6VgO/iOIp/HH99FuVxp1XzHnZKTQNdp6iqBaNLQAY1YHZL1bsQWzXCarLcfQBhC1J5kKcaz3lkPUfCwS4JsrknR9elxk6x3zrHI6SwpCtjCJbM1IOusw7XzSGFPynqbIHxpzZXtXqkZ73Q6qeM866yz+PVf/3XuueeeLo/IMIzlREhJ7wufS+6Ezd0eyrRG732MsFzv9jBWpOU7hdZYUzQaoQGh0Bri2OeJJ55lxw5NsdiT1ByIZKVLC5umdLClg6cc3EjQsGxqElJWUuudjSJ838ZrRFh1hUgHiJQDbpAE27YNtDLeyoV0mGS98yFeMaDQaFILHUquQzWS1COXhsrhixqR22Tzxo00do0SxjWUjkBHZhmdI0DPY/LkSpxcecMNNxBFEbZtc9lll9HX19ftIRnGgqWtNKfnTu/2MFYtIQWls04CS1J9eFe3hzOJDmNG7nqQ9a88AyFX3mtwNy04433JJZdwxx13HImxzMunPvUptm/fTiqV4uyzz+anP/1p18ZiLK3Jme+QOG7y1JN7KZdHk3rveLzcJNQNmqJOXTRpxDH1SLUW1RHUIkktsqkHDn6jlfVuREnJSdDq561UUufdbi2YSiXtBQseVlGSyYUUUz7FCR1OcmRIk8cVGVK9Pv35bZ32gibrfWTMq9RkBb7jOfvss7Ht8bzH6173uu4NxliUbl4LzXVw7RBCUDr9OeROWn7LtvsHRqk+/uzcBxqTLDjjPTY2xnnnnce2bdt429vexiWXXMLmzUfno5B/+qd/4pprruGWW27h7LPP5uabb+b888/nkUceob+//6iMwTiyJma+0RFRXOepJ/dx7HGSfL4nKTnBxxc1hLaxhYerHNzYIhUJ6lKQsgTVyCYdxqSaSdbbbmh0M0x6eUdREngDWgqEbUPKS/bnQmQhwK365Go+JSeiEkmqbjJxsx7l8K0Gofbp2dxgsFoijGrEKjBZ7yNA6bmXhF9pv/PFBmvbt2/nmGOOWeLRGIvVrWuhuQ6uPe3gG6WpPrq8At2x+x4nvWndsm6DuNwsOPD+13/9VwYHB/mHf/gHvvCFL/DBD36Q8847j8suu4zXvva1OI5zJMYJwF/+5V9y+eWX87a3vQ2AW265hW984xv83d/9He973/uO2PMaR1c7+NYiRmiI4jpPPrGXY4+zyeeKxPjI2CLCoSkdHOHgxDZuJHCkRcoWpGNJPbJJBw7pRoRdD3CaMTQjCCKI4tYESxvttHLUqRTkImTDxyqGpCshxXJIObKoRjY1x6Iep2jqPKGsE3tNtmzYzOPPjhKrJpEOWxn7GIGYMHHUWKx2HfdsVlqN9yWXXLLg+wghuPrqq/n93//9IzAiYzG6dS0018G1SQhB6YwTUVFM/Ym93R5Ohw5jRv7rEda97PkI091rXhZV471+/XquueYarrnmGu69915uvfVW3vKWt5DL5Xjzm9/MO9/5Tk444YQlHWgQBNxzzz1ce+21nX1SSs477zzuvPPOae/j+z6+73e+L5fLSzom48iZGHyjAsLI4sknnuX4EySZdAFEEyEkQtjY0sOJHbzIwpOSaiRISUnaskhHDlk/xKtH2I0Y3YwmZL1bgbFloQGhvWTyZS6FLEa41TqFIZ9SaFOLLGquoBE51MMsTStLIBrk19UoDQ8wODHrLcTKbC69DCkgniOwniswX26efPLJbg/BWCJH+1poroNrm5CC3rNPRvshjd1D3R5OR3P3EI1nB8lsNZ+4zMdhdTXZu3cvt99+O7fffjuWZXHBBRdw//33s3PnTj7+8Y8v1RgBGBoaIo5jBgYGJu0fGBhg3759097nxhtvpFgsdratW5dfjZQxh9YCO1r7hJHPE798liBsdLqchKpGU1epyyo1FVCLYmohVCNakyIt6oFD2LSIaxrdjJLWglGU1Hq32TbadSCdglwGUUhh9didvt5FJ6bgQM61yEmPjM7jyixSWgxsLrYW1ZlQ620sCTXPzTC66WhdC8110BBS0vuSU3HXL69Fdkb/6xFUGHV7GCvCgiOEMAz5l3/5F17zmtewbds2vvzlL3P11VezZ88evvCFL/Dd736XL33pS1x//fVHYrwLcu211zI2NtbZdu1aXrOCjdlNWmBHxyjVIAh8nvjlLuLYJ1Y+YdwgUDWaVKmJOrU4ohaqTuBdjSxqoUOj4RDVBKoeJa0FWxMtRTv4lsmCOtpzIZuGXApRSB3a19uBvG13FtVxRJp01magb0trNctWX28zyXJJ6Fa7wNm2lehLX/oSQTC++tuzzz6LUuNvIer1OjfddFM3hmbM00q5Fprr4OojbYt1L30+dn751FXHdZ/yL8ynefOx4FKTjRs3opTid37nd/jpT3/Kaaeddsgxr3jFKyiVSkswvHHr1q3Dsiz2798/af/+/fvZsGH6JvOe5+F53pKOwzi62sG30DEaRaxqVGsRTz+9n+07NnYWHtF2jJYaNMgwj5QulpDYwsaWYEmFXY6xXB/hNrE8C1wn2RwbbAdcGywbbVm0w2ZntEkxrhPHgjAWhNolVJJQpQijHmIrIiaiNOAzMraRclMRRjFa+SBUUi5jar0XLdYQzfHri1fgr/d3fud32Lt3b2cy3M6dO7nvvvs49thjAahUKlx77bW85z3v6eYwjVl041poroNGm5VyWffy0zjw7btRwfLINFcf3kX22M04hUy3h7KsLTjj/fGPf5w9e/bwqU99atoXGoBSqbTkdYyu63LGGWfwve99r7NPKcX3vvc9zjnnnCV9LmOZ0rq1oI7PyMgge/cMoXWcLCcfN/B1lYasUtHNJOsdaioRjIWSauBQa3r4VQtVidDVCcvIt7Le2rKSchMvhc6mIZ9FllK4JUE2G1DyAkp20l4w51jkRYq0TtoLpr0MPX0pHCuLFB5CWF3+Za0O7T7es22swE8Wpq5UaVauXHm6cS1cquugmQS3OjiFLH3nPm/ZVDfqWDF276PdHsayt+CM91ve8pYjMY55ueaaa7jkkks488wz+ZVf+RVuvvlmarVaZ3a3sXppdCsH3VpgRzXYv38f6bRHT08RhEQqm6Zwk4V1Yhcv9PAsi7QlGbMsMr5Duu7ilhvIXICV8yEXIKIIrVt9vW0LLSRCK4giRCmDrAakKwGFhk8pdKhEFpVJEy3zhNpn/UAv5dGgtaiOj9axyXofpvm0EzQ13kY3dOtauBTXQc/ziFbiR0XGIVIbeimd/hxG/2t5BLyN3UM09w2T2tDb7aEcFWoRSZMVtXLlG9/4RgYHB7nuuuvYt28fp512Gt/61rcOmWhirE5Te3zHqsEzz+whlXLJZCzCuIEUDpZ0cYSHG0mcUOJZgpRlkY0cMk2XVDXErkbIWoho+OCHkGm3F3TAlUmYHMeIfAbZ08SuRmSrPkXfpRzaVCObumtRiz0aOk8ga8R2k571KarNLHHcRItWQG8sWnsBndmPOUqDMYxlYCmug0opxuqKlKtwnWWSLjUWLfecrQQHy9SfnH6C7dE29rPH8M7/lVW/oqXSmnJ94df4FRV4A1x11VVcddVV3R6G0SWHthms8fRT+znhRBchBGFcx8emYaWoxR5uaJOybNKWIG1ZZCyXTD3EK0fIfIBV96HZhCANqXRStWDZ4IKO04h8Fho+VjUgVWlSbDSphsky8rVIUgttGkGOplUgEk36+noYG/Y7WW+06vQjN1nvhZvXAjor9Nf67W9/m2Ix6UzQLhd44IEHABgdHe3iyIzl7nCvg0EQYEkYqsSsy2OC7xVOCEHPr5xMOFIhHK11ezgEwxXqz+wnu336eQergdKag+WYeBG5tRUXeBvGePCtQfvUG6M8+4zHtu2biIRPKBs0dZmqTBbW8UJB2rbIhBZZyybnu2SqAXYlQlabiLyP8AMIg6SriUWyjLwGncsi/ABR97GrAdlqQI/vU4lsKpGk5krqsUtd5WnKKo7l09efpVLPo1RApKPOojrGwo3Xcc9+zEo0dSGdd7zjHZO+N3W4xpFUyEgagegE35h/byuatC36zn0e+795Fzrq/iet5Z//kswx/Qi58t/UqSm/znbQHcaaYmbhP9/K/40Ya5hqTa5sMDxykIMHR4jjpMVgU1VoUElaDEYx5aA90dKiHLhUay7hGKhyALUG1OrQ9JMFdNpsGzIZyGWgkEH2pfF6Ffl0kx4noMeNyTvJRMuszpAmjy3TlEoFirneVntBz7QXPAwxSVeT2bbuX2IWTik15xbH5s2aceRIIegrWDhWEnyH4Uo8k4yJnEKWnjNP6vYwAIgqDWrLaIXNwxFEqnN+TAy61+UtbGvh13UTeBsrkka3Msnteu8au3fvp9Fsjnc5UWXqskJV+dTCmLEAKpFkLLSp+h7NikM8GqFHm1BrIJpNRBAmi+sASIFOpdDZLJTyiFIWq9chUwoopgJKTkzRhYIjydsuWV3AEzls6dHXnyXlFM2iOodpPn28V2ovb8PotonB90gtPiSzZ6w8mWM3ktm2POa9lR94ErUKEghCJOeHH6pJQfdiS7RMNGCsWO3gWxOjdUQY1di9a5A4bq1qqZOSk5qsUYkjqpFiLEyy3qO+S6WWIhiVqLEmlBtQrUGjMTnr7XnoTBady0Exi+xJ4/YICrkmRTcJvgsO5G2LHEnW25FZioUChVwftpUxi+ochvmsWnm4Jd4f+chHEEJw9dVXd/Y1m02uvPJK+vr6yOVyXHTRRYf0Tn7mmWe48MILyWQy9Pf38+53v5somruf7o4dOzj22GMXvH3iE584zJ/UMA7VDr4tCf4yKFEwDo8QgtJZJ2Gl3W4PhbjWpP7kys96u7ZI5kSUY4Lo8IJuMDXexmrQCr6V8qlUhzlwIMPAgCQUFlI41KWHh0cqTFoLlm1BJrLJNF3SlQBnxEfmGohcCpGpQzqd9PN2nOTxU16ymmUzB8UGsqdJuhxQqjepBg4VV1KNBLXIph7laMoqodWgZ51HpVYkiptEOuzUeguEmWg5T0rPvUDO4XQ1ufvuu/nMZz7D8573vEn7/+AP/oBvfOMbfPnLX6ZYLHLVVVfxm7/5m/zf//t/AYjjmAsvvJANGzbw4x//mL179/LWt74Vx3H48Ic/POtzfv7zn1/UWLdv376o+xmGsbZYnkPvC5/L4H/+rNtDofKLp8geu2lV1HovFRN4GyvaxP7e7RaDe/fuo1DIILMWUdygKSrURAYvdkkFEs+ykvaClkumniI1GmLlAuxCHXJpyDQgnRoPvC0Lnc5AzkcUssieBnY5IlfxKQVe0tfbsak5Fo04RZ0CoWhQKgWMDUX4UQWlA5RSaNTKbcPRBUlXk7kmVy5OtVrlTW96E5/73Oe44YYbOvvHxsb427/9W2677TZ+9Vd/FYBbb72Vk08+mZ/85Ce88IUv5Dvf+Q4PPvgg3/3udxkYGOC0007jT//0T3nve9/Lhz70IVx35mzTy172skWO2DCW3sTuDGnXBEerRWpTH9njNlH75Z6ujiOqNqk/tY/ssZu6Oo7DEUSaWMH6okW5rg67G5A5y4wVb2rJSaya7H52iDiOCFWTSDWoM0ZVVqlGUbKiZQijrYmW9ZpHVFZJyUmlntR6+83JqVTPQ6ezUMhBKYfV55HuiSmlm/S4ESVHU3AFWdshp3K4MoclPQp9Dim71Jpo2ar1NiUn86bnuSmlKJfLkzbf92d97CuvvJILL7yQ8847b9L+e+65hzAMJ+0/6aSTOOaYY7jzzjsBuPPOOzn11FMn9U4+//zzKZfL/OIXvzjsn9swjoaJE8V6shYmKbm6lE4/YVmUnJQffHpFr86rdXJ+eI6cNCE5WOSEZHOaGatCJ/jW4yUnBw+OolRIGDcIVI26qFDVPtXWRMuxUDIWOpQbHv6YhRoJoFyHSjXpdOI3Jz9JKoXOZCCfRfSksXsl2ZxPyfPpcWOKDhRci5zwSOs8nszR29NDIdWPY2UmLCVvTrv5iufoaBK1SlF27dpFsVictN14440zPu4//uM/cu+99057zL59+3Bdl1KpNGn/wMAA+/bt6xwzdcGS9vftYwxjOZvancExvbxXHek6lM48sdvDIBqr0dx7sNvDWDTXlp3zY2o3oMWsAGtKTYxVZrzkZM+e/RSKOaRnEak6vqhQlRlSsUsqklRCyZgtyQcuuaqHN1pHFpvIXA2RzSS13un0+EO7DjqTQeSaUGgie5p4lTrFRoNq6FAOk0V16o7TWlSnSiSb5PscKn6JMK5PWFRHmEV15kHreVTmaNi6dSv333//pN2e5017+K5du/gf/+N/cPvtt5NKpZZopIaxspTrCoTsTBQLIvNatBqlt/aT2tRHc093A9/KQ0+T3rSuq2NYrKmfBLWD74PlmLH6wru2mLe4xqoxXZeTvbsHiVVIqBr4ukaTMjUa1EJFJYJyKBkNbcpNj2bZRg2HMNaAcgVRrU7ucAJJyUkuC4UsopTF7rXJ5ENKKZ/edl9vV5KTHllVxJYZevty5O1+XDuPFB4ISfvUMyUns9MI1Dw2KSWFQmHSNlPgfc8993DgwAFOP/10bNvGtm1++MMf8olPfALbthkYGCAIgkNWj9y/fz8bNiQrsW3YsOGQLift79vHGMZy5bouseKwuzMYy58QgtKZJyKs7v6d/X0jBCOVro5hKU3sBrTg+y79cAyje6aWnAyPHKRaraFUmEy01BVqokI1DqgGinIE5VZ7wXIlRTACarQBozWo1aAxpdzEcdCpNDqbSdoLltK4vZp8xqfHHS85mbiojmtnKPXkSdlFLGvyojrG7GKSUpLZtoVW2b3yla/k/vvv57777utsZ555Jm9605s6XzuOw/e+973OfR555BGeeeYZzjnnHADOOecc7r//fg4cONA55vbbb6dQKLBz584l+MkN48iRUlLMSBN0rxFOPkPupGO6PQyqjz3b7SEsKSkEhUWsXGlKTYxVql1y0mTvnoPkchki4ROpBk2rTE1kyEQO1VAyagkydmsp+bEAezjAyTQQ2Sqit5YsIz8xe+o6kMlCtgHFOlaPT6YcUKgHlEKXimNRcSS1yKWucviiSr6vQX54A01rrLWUfKu9oFCm5GQWSVeT2Y9Z6JydfD7PKaecMmlfNpulr6+vs/+yyy7jmmuuobe3l0KhwLve9S7OOeccXvjCFwLwqle9ip07d/KWt7yFm266iX379vH+97+fK6+8csZMu2EsF77vL2rFPWPlKjx3O/Un9hA3gq6Nof7kXkqnHY90na6NYanJRSTQzNtdY9UZLznRaO1TrY0wPDw2eaJla0XLahBTDtslJy6VRopgRBKPNmGsjqg1EI06TFx9y3HQE0pOZCmFUxLkcz49bkDJTVa0zDs2WZ3BI0cqnaY320fKLiKlO76ojjGnuTqaHAkf//jHec1rXsNFF13ES1/6UjZs2MBXvvKVzu2WZfH1r38dy7I455xzePOb38xb3/pWrr/++iM0IsNYOiu5w4SxONKxKTzv2K6OQUdq1SwjfzhMxttYxRRoQawa7Nt7kFJPHinaK1pWqckM6cghFbYW1bFscrZLpuLijDSx8g1EpZpkux0Pspnxh3YdSKeTfe1FdSoBhXqTUuBQdiQVR1CLXBpxgUA0cHuHydX6TdZ7AWKVbLM5nAV02n7wgx9M+j6VSvGpT32KT33qUzPeZ9u2bfzHf/zH4T+5YRjGUZA9dhOVh3cRjdW6NobaL3eTO3ErYg2XWpqMt7EqTZ1o2fTLDA2OJhMtp7QXrIVJ1rsaJe0FKw0Pf0wSjwRJX+9qDdFswMS+0JaNbnU5IZ9B9qSxS5J83qeUCuhxWllv2yKr03hkKZSy9MoNJuu9APNZMt4scm0YhjE3ISXFLme9w9EawcFyV8fQbSbwNlatSRMttc+BAweJVZRMtFR1Al2jLutU44haqBkLk4mWExfVYawO1Wor+G6OdzmRIlnZMuVBLgv5DFaPS6qULKpTciOKjibvJIvqZHQOR3rke9LkrH4cK4slXTCL6sxK6/E675k286m5YRjG/KS39OP25rs6htrju7v6/N1mAm9jDVBoHeEHlU7WO1I+vqrSEBUaOqAWxdQiqESScmhTabg0Ry3USAPKDajWoF5Pst5hmER8Uia13qkU5DOInsz4ojquT8mJKUzJels9ISUG8Oz8tFlvE3xPNldHk3geky8NwzCMhJCC/KndzXrXn9mPihbe/3q1MIG3sapNbS944MAQSoUoFRIrn0BVqcs6tVbWuxLCWGhRDj3qNY94NESP1qDcyno3GhCEoFXSVd9p1XrnspBPI3tSeD2KYnZ8Kfm8O571zmZTrLN7yVh92DKFFPakrLcxmUbMazMMwzDmJ71pHU5PrmvPr8OY5p6hrj1/t5nA21gjkvaCQVhjaGisk/UOdH1S1rsSJlnv0SBZVCccFagxP8l61+qIegMR+hBFycNKmdR6p1PJUvKFNFZrUZ2i61N0YgrOeNY7RQ7ZCwX68eyCyXrPQTOPUpNuD9IwDGMFEVKQ37m9q2Oor+HuJibwNla9ie0FlfIZHBxG6aiT9Q51fTzrHWmqreB7LHBoVBzikRg1WodyLSk5aTTBD8bbbVgWeCnIplvtBT28HkUhk9R6F1q13hnLwdUpnB7FBjVA2iphWybrPRtTamIYhrH0Msf0Y2VTXXv+5t6DqCCc+8BVyATexhqS9MBo+hXGRsvjWW/VoCEq1HSTWhRTbS0lXw5tKnWPYEyiRltLyVdbWW+/CYGfpFulRNs22vMgl0YUMlg9NtlCQLFV6513IetIsjpDKuVRyqTJynW4VraV9ZYm0z2NeU2u7PYgDcMwVhghJfkurmaplabx7GDXnr+bTOBtrAkTa721DhkcHEUTdzqchLpOUzZpxBHVSLUmWlpUfYd61SEqK9RYE6p1qNaS4DsIx7uctLPe6RQU0ohCCrekKWYb9LSy3jlbkpEOKZ0hzkOPWodnFbBa5SYISfuUNEF4Qs/zf4ZhGMbCZI/diHCsrj1//ZkDXXvubjKBt7HGJB1OqtUx6rX6pKx3U1Sp6Sb1TuAtqIQOtaZHUJaosQhdbkK1kXQ4abTrvWOQIsl6p1OQyyJKGaxep1PrXbKTvt5Z2yKtU4gexYAskpY92FY6KTehlfU25SYdptTEMAzjyJCuQ3bHxq49v79vGBVGXXv+bjGBt7FmTO3rPTQ01sl6x7pJoGudrHct0tQjKEcWFd+hXvMIx3Qy0bJSh2oj6esdhOPLyTt2ssplOg3FLLInjdurO7XeeScpN0kLh1TapZT2yNE3odzEZL2nMn28DcMwjpzcc7Z07bl1rGjuPdi15+8WE3gba1CS9R4ZGSaOI5SOiWKfSDVpiioNHdBo9fWuRRaVyKHadPGrNvFYnJSctCZaikYTEQbjfb0dL8l6ZzNQTBbVSWq9A4p2TM6BjG2TUmlE1qZP9ZGSSblJO+sNmKx3i9bz2Lo9SMMwjBXKKeZw1xe79vyN3WuvraAJvI21SSui2Gd0pILWMbEOibRPpJs0ZYNGHNGINNVIJLXeoUO97hKOCdRoiK62Sk6aTQiCCVlvB51Oo3PZpMNJT1LrXUj7lJyIogMZW5ISLkEW1tlp0rIHR6YRwjaTLKeIgEjPvplSE8MwjMXLHbe5a8/d3DOEXmMv4ibwNtaUia0FtQ45eHAYTXsZeZ9AN/Bp0NQR9VbWuxpJKqFD2fdoVJKJlrrsQ7UJtQbC9xFRBEqBAFwvmWSZy0Ixi9XrkM355N2QnK3I2YK0tHFzDgMZm4Lq7SwhP15ugllGHmA+Ge+19ZptGIaxpNLH9CPs7oSDqhkSjJS78tzdYgJvY41KFtSp1io0m34r6x0QaZ+ABg3RpBG3y00E5UhSDSZMtCzH6KoP9WbS1zv0x7PelkR7KXQ2DfkMsieN16MoeT5FR5FzIG1JHGGRybn06CIpq5gE3rRrvM2pCe0GkLNvJu42DMNYPOnYpLf0d+35/b3DXXvublgRV/ennnqKyy67jB07dpBOpznuuOP44Ac/SBAE3R6asQJNzXqPjlQ6We84bhLoOk1Rp6nb5SZQiyTVyKIWODQbDlFFoyp+Um7S8BHNABGFSRQoJLguOp2FQq5V622Ry/kUnZDchEmWFdumZHukRAHHSk/p6W0mWc6rq0m3B2kYR4G5DhpHUmbHhq4991qbYGl3ewDz8fDDD6OU4jOf+QzHH388DzzwAJdffjm1Wo2Pfexj3R6esWK1J1mOMbChD6ViYhkS6SaBqNMUOeqRRzqyqduCamSRjWwyvotXjbCqMbIaIHJNyDaT8hIvAtcBLEil0JkMopBF9lRIFWsURgOKtkvGtkhZFs20ZFPW5slyL6MyaSsohIPGXEyBVhea2XPac91uGKuBuQ4aR1JqQy/Sc1D+0V9NMjhYRkUx0u5eT/GjaUUE3q9+9at59atf3fn+2GOP5ZFHHuHTn/60ecExDo9W1BsVGo0mmYyFUiFKh0T4SdZb5WhEmlokSFmSbGST9h1SdRdnrIHM+Fi5BmRSiHQanUqDp0EKcJ1W4J1DlLLYpQaFwSb5Rpq8Y5G2Lapph6Inyes8nszRkC5RLEFIhFZoIdZ0EbOax+TJNfzrMdaQpbwOuq6LMieOMYGQkvSW9dR+ueeoP7eOFcHQGKkNvUf9ubthRZSaTGdsbIze3rXxRzKW3tRyk/JYFVCTWgv6okFTRTRiRSOCemuiZTV0qPkOQc0mrrQnWtah3VownrAgQCaLzrYmWfZ5ZHIhBTska2vStsBG4GRceu0UKVnElh5iYlvBNc6UmhjGzBZ7HZRSUq4rE3wbk6S3drHOe/9I1577cNT9hV+BVuTV/fHHH+eTn/wk73jHO2Y9zvd9yuXypM0wJkum6I2OltHtxXWIiLRPqJs0hY8fKxqRphFDLZZU46TWu9FwiSqCuBJA3YdGI2ktqCaciFKgczko5BHFNG6PopAKyNuKjA1py6Ji2ZRcm7QuJKtYyqStoOlukpTMmwV0DONQh3Md9H2fWMHBcmyCb6PD29DTte4m/tBoV573cFTqMTV/4edPVwPv973vfQghZt0efvjhSffZvXs3r371q/nt3/5tLr/88lkf/8Ybb6RYLHa2rVu3Hskfx1iptKJWrxCG4fgkSxUQ6Sa+8GmqqBV8J1nvWiSpRTbVpoNfs1FVha4GySRLv7WE/ETpNDqfg1IOq2STS/nk7ZiMBa4lCV2b/rQgp/I4Mj3eVtB0N0GTfDox+/8MY+XqxnVQa00xIwljbYJvo0NaFqmNfV157uBgGa2W5+eX050elXpMuaHIegtPinW1xvt//s//yaWXXjrrMccee2zn6z179vCKV7yCF73oRXz2s5+d8/GvvfZarrnmms735XLZBN9Gh0YjNGihQYeMjZVZt258kmWsA0LRxCdDU9k0IkndFqTipMNJOnLINhy8SoRVDbDqTfCT7iZTz1OdyyWTLEse6Xyd/GhIznbI2JKaZ7MhBQWRwREZpHAQSISQk054gVhzYWaskm02Sq/1tyfGStaN6+ANN9yAbQnW5SVDlZiD5ZhCxpxFBqQ29tHYNXjUn1eHMeFYDbcnf9Sfey5BpEm5GlqfPLeD7kJaYsmFX5O7GnivX7+e9evXz+vY3bt384pXvIIzzjiDW2+9FSnnfpHwPA/P8w53mMaql5SbVCo11q0rARqlY5QOCWlnvV1SsaQZWdQlVKVFOrLJ+g6ZeoBTjbDqITT9pNxkqnS6FXxncIo18gdCMnWNZwmEFODZFG2HtCpSkW5S562jVrAtgfjQx1wDNBo1x5uNtfZmxFhdunkddB3JujwMVWJGqjFp1wTfa53XpYw3QHBwbFkG3lprRqox/SVBraE6QXc+Y1FvRnM/wBQroqvJ7t27efnLX862bdv42Mc+xuDg+LuxDRu613vSWEW0as0B2IwmQuuIWIVElt+aZOnRiC28SOJZglosyESSWuSQa7ikahFWPUA2fPBbi+lYU1ojtVeyLA6TTfnk7JisLcnYksh16E1FpGpZLOklvbyFXPMh5XxWpjSfkhtrwZG6DraD7wNjEc1weX7Ubxw9Ti6NnU8TVRpH/bnD4cpRf875cG1JtRmzdzgJsttB92KtiMD79ttv5/HHH+fxxx9ny5Ytk24zPXyNwzGx3CSKmjQaTdLpbKvcJCBSTULLxxc+vnZpxBIvtkjHUI8sapFNPbDJ1SR2NUTWmgg/QEfRIYG3zuUQ+Syy6JHONMk7MWnLwZGCunTI2g0yKovT6uetaE2w1DGs0baCsdbEc/zcpj7VWAuO5HXQdSSuLdb8G30j4fX3dCXwDpZp4C0luLYgbH3wnE0f3idDK+JzpUsvvbTVceLQzTCWRrvcpArEaGK0iokICXWrtaAOOh1O6jE0lKAeSRqhjd+w0TUF9SBZQt6fptzEstCFHKKQxi0osk5IxtK4lqBp22zNTKjzlnanreBa7WgCyXuNObuadHuQhnEUHMnrYKUe44caS6zd1xpjnDdQ6srzhqPVZTnBMoo1fqhJOQIhDr8b0IoIvA3jqNCKWq3ZupAlPb1Vq7tJKPxJHU6acdLhpB4nHU6avkNUBVVvdzdpTv8UuQKUslhFSc4JyLTaCgrHpt+LyFo2bnuCpTCnp2rVeM+2mcDbMBavPVEsl5K4jgm8DXDXl7ryvDpWXcm0zyWMNbmUpK9gsy5vHXY3IHNlN9a8iYvpVKtlkqXkk57esWp1N2kH34ST+no3Ykk9tqmGLkHdQlXDVsbbn/7Jshko5LGKLplMQNZSeBK0BG3ZZG0LV6expdtaPn5CP29Yc9nvGN0pN5lpM6UmhrE4E7szZNNrY7luY252No2Vcrry3OFYtSvPOxvHEp3zI5kTcXjBtwm8DWOCIPAJw5Ak5FMoIpROgu9ANAlEgK/jJPiOoR4nfb3roY3fbJWbNEJEEM641nlSbuLhpmMydownwZMS5Tn0eJK0ziKFg5Q20L4YyqTOe63R4xMsZ9y6PUbDWIHq/uTuDIbRJoTA7St25bmXY+BtW5OvvROD73J9jaxcaRhHRlLnXa/7nXITrdpZ75BINwlEE18nWW9/Qq13I7Zo+C5xHXQzSDLe0fRthnQ2B/kMTk6RtUPSreXjy8Kl4AhSOp10Nmn18l7Lp6kpNTGMpWfbNjVfm6DbmJHT2522flG53pXnXah28D3XOhPTWbtXdMOYjlbU63WScpOo1c87QumAWIdJ4C18fB3TiBXNCOpRa5JlZBPWJboeJpMrw3D658hkIZfGyklSTkRKamwBsWXhWZo0LpawkdKZEHyvTUk5iZp1U3phr3w33ngjZ511Fvl8nv7+fl73utfxyCOPTDqm2Wxy5ZVX0tfXRy6X46KLLmL//v2TjnnmmWe48MILyWQy9Pf38+53v5tohjdbhrGc2LZN1hMm6DZm5PQWuvK8UXn51XjPxHUkxUUsPLV2r+iGMcHEOu9Go5l8rTVaJ5MsYxUQar+T9W7qgEApmrFOJlq2FtcJAwvdiKCZrGA5LSkgk0bmbNJuSEoqbAsa0ma9p8lIB1uksNo13lOspTrv5HOHubeF+OEPf8iVV17JT37yE26//XbCMORVr3oVtVqtc8wf/MEf8LWvfY0vf/nL/PCHP2TPnj385m/+Zuf2OI658MILCYKAH//4x3zhC1/g85//PNddd93h/cCGcRREUUTGM5d/Y2ZuKdeV5w2r9RXVsW5qGcq87nMExmEYK5ii0ah1vtaEKCWJhYXUTQJtIYWNlDZObOOEgpRlk3ckldCh3nDIVUKsWhOaDShOXyenS0VkT4pMtkrBicjbNqPS4oRcg6KbwgtzNKRH8t7YWrMrWLbLSWaz0Jfob33rW5O+//znP09/fz/33HMPL33pSxkbG+Nv//Zvue222/jVX/1VAG699VZOPvlkfvKTn/DCF76Q73znOzz44IN897vfZWBggNNOO40//dM/5b3vfS8f+tCHcF13gaMyjKPHfDJjzMXKpBCOhQ6P7jVHBxHKD7FSq/c11LzlNYwp/GYjecd9SNY7mWQZ4SdLyRMQKI0fJx1OmrGgGTqoBuCHiOY0vbxbdCYLuRRORpGyFJYAYUk0As8SONrDFuMrWK5Vao4yk8WUmkw1NjYGQG9vLwD33HMPYRhy3nnndY456aSTOOaYY7jzzjsBuPPOOzn11FMZGBjoHHP++edTLpf5xS9+cVjjMQzD6DYhBU4h25XnjurTt+NdLUzG2zBaJq5i6fs+qVSKzmI6OkJpC6XDZDVL6RFIH1+nCJRFEAuaStKMLaKmRDciRDBz4E02A9kUVgY8K8aVGsuSRMIibQlsvE4vbzFxBcs1Zr4Zb6UU5XJ50n7P8/A8b/bHV4qrr76aF7/4xZxyyikA7Nu3D9d1KZVKk44dGBhg3759nWMmBt3t29u3GYZhrHR2PkNwsDz3gUssrvnQe9Sf9qhZu6k0w5iF7/to9PhiOiruZL0jQiJ8Anx8HRLECj+GphL4sU0USHQzgmCGGu+2XBaRTSZYelLjSvClQ9EVeDqFJaaZXLnGWgomVfdz9zbZtWsXxWJx0nbjjTfO+fhXXnklDzzwAP/4j/94FH4awzCMlcMupLvyvHF95UywXAyT8TaMQyj8zgI4yWI6iCTrHWuBVBaRCAilTyhCApWiqcCPBc1YEgQW2g+TriZxDNYMnQPSaWTGxrNjUpbCsyQNXIpuiDeh1KQtqfNeW+Kkk/qsxyg0W7du5f7775+0f65s91VXXcXXv/517rjjDrZs2dLZv2HDBoIgYHR0dFLWe//+/WzYsKFzzE9/+tNJj9fuetI+xjAMYyWzc4sPvKVVJ1t4msrIyQu+b9yY5dPiVcBkvA1jGn4Q0O6XoXVEO+utW5nvSPuEuklTNFsL6mh8BYGSBKGFbmrwwxl7eQPodAqRcXDdCFcmS+Vo28KVYCOn9PFem6eqmtf/NFJKCoXCpG2mwFtrzVVXXcVXv/pVvv/977Njx45Jt59xxhk4jsP3vve9zr5HHnmEZ555hnPOOQeAc845h/vvv58DBw50jrn99tspFArs3LnzCPwmDMMwji4rs/jAu2f9fRR6H8RL75/74CnULPOjVgOT8TaMaQTt+mytQdDJeistiXWApZ1koqX08VVIGDsEsYWvBGFso0INYZRkvWcKAL0U0rOx7Ca20FgSlJRINBbW9KUma4wWGi3mmDw51+1TXHnlldx2223827/9G/l8vlOTXSwWSafTFItFLrvsMq655hp6e3spFAq8613v4pxzzuGFL3whAK961avYuXMnb3nLW7jpppvYt28f73//+7nyyivnzLQbhmGsBFY2tch7KlKZ/QihyJUex28MzH2XCWITeBvG2tGeYBm2Fr/RaASKpI2fQOsk6x2LkFiESeZbhAQ6yXj7scCPLVQAhDEijmcuD/FccGxsR2MLhQC0ZeFIcISFrR2EWNsLXMTERHO0UIwX2Mn705/+NAAvf/nLJ+2/9dZbufTSSwH4+Mc/jpSSiy66CN/3Of/88/nrv/7rzrGWZfH1r3+d3/u93+Occ84hm81yySWXcP311y9oLIZhGMuVlV5cS79s4UmETF63U+kDQMRCwk2T8TaMNSicuOpka2EdiEDIZJKlDlCt1oKRCAmVIlIQakEUiyTwjmJmXU/WccFzkI7CkRpbQiQkWUvhCImF02knKIRM+nivsc4m7cmVcx21oMecx+IMqVSKT33qU3zqU5+a8Zht27bxH//xHwt6bsMwjJVCWhbCtdHBwvq+ZwtPARqtBUJGZAtPUiufMO/7q5lWfV4l1u5n2IYxiygKkjITVCvoVq2e3vF41lsFRDogwCfUilBpIiWItERFMik1mWn1SkhWsPRcpAuOVNgCGlrS60a4UuLgIlu13lOtldUrlVDz2NbalFPDMIyjw0o5CzpeWnUcbxS0oB1iZgtPL+gx1AID/ZXGZLwNYxpKTcmyat2qJY6T4hNtEevWgjoyIFIxkYJAQagkKgIdqqSryWxcG8tLAm9Xag5i0Zfy8WQWK55+yfi1JCk1mf1FWK2x1TwNwzCOFuk6wPzb++V7HkMIhdata5cWuN4o0q6josy8HkMFIVprxCptn7u2r+qGMQ1NsmplFLUDOtXZpztb0t1E65hYh0TEScZbQ6QEKpag5hN4OwhXYEuFFEklXMqKsKXAxpqwcuWEWu9V+mI0nfn08NZrrsmiYRjG0SHdheVn09lnW18l1ymNAKHJlx6d/4Mo0FOTX6uICbwNYwZxHLfKTWByyUmEJmqtZhklOVkREWlNrCHSkjiWECrEbDXeAK4LjsCSKgmthcCxFJYQWNpGsLYnV2pi1Bzb3DXghmEYxmIIe/6lJm5qENtpoPXE5FDydSb37PR3mslc184VzATehjGDTrnJxMl4erzeu7OapQ6IiVFaEyuItEAp0LECPceLhyURlsCSGiE0CIElkomWsvWCNbncZG2dsrGIiUU062ZKTQzDMI4MYc//mpMvPUYy2X3yp7JaCyy7uaCe3ipava/ra+sqbhgLoKcLuFslJ0l7QY3SSeY7FGGS7QZiDUrJZP0dNXsZhLZthJVMlRQAQiCE7rxsreWgG9oL6MyV9TalJoZhGEeCtOZ73Ul6dycvx1PLIQWgyZUen/fzruZSEzO50jBmMNMEy6StX7Kwi9LtwE+htEa14vIk8I4mZ8unIyRIiUAjBa0tuY9cI51LZqfmUUqyel+gDcMwumqegXe7d/fkMpM2AXqBPb3nSFqtZGsvhWYY89CesDfzqa9ozQBBkdR5x1qhNMQItG5Vmcz1rl0KkEmwLQApk4y3NDE3QPLGZo7N1HgbhmEcGfPtLNLu3X1otjuhGe/pPS+rN+42gbdhzES16rMnnf+tkpNOh5NW8K1Fa5GddsZ7vi8a7Qjb9KKeliJCEc6xrd5aQMMwjG4SztzZ6cm9u2cK1BfY03veJS4rjyk1MYx5aIfFAlplJhpB3KkDbwd/i8q9mvT2jHSrynv2Y8ybFsNYCNs2l35jfso/f2LOYw7p3T2TBfT0dnLphQxzRVm9bykM4wiYLsRrlzosVcGD1mI1l7ctSHvJ+Lk2wzDmz7Zt6r45b4ylMbV390wW1dN7mYvihV+sTeBtGIukp5k4ecgJJedxik2IspUG1ZqcYrp1QKyj1gqhM29Km1ITw1iIKIqo+ZpK3Zw7xuGZvnf3TBbZ03uZCkLFWH3hb2DN502GsUTaIbZodSeZ12rvSiepci06Ybae9PXEk3rtZag0MXrOGu6193sxjMMRRRFZT1BuJOdOPrO2F+oyFi9XfALQrQWVk9fqpORkYiCuknUqWiyrieMdJPT7juJIl1YQKoYq8aJK0U3gbRiL1J7tLZBILASC5P+tFyEh5l7evdV/UE0oL4lbX7cz3ms6+NZqys8/zSFztWw0DOMQGU/iOePBt+eaD8CNhatXtyJlCICQIV76IFO7mwg0StkEjfUAaG0Rh9kujHZxppaTtINuxxKkF3HerLgzzfd9TjvtNIQQ3Hfffd0ejrHGCZGktoUWCCGwBFgCpFStL2YPvEVrWXqNaHUDh1jJVuCt5pHtXd3mVWqyxn9HxtqzVNfBfMaikJaUG4paw5xHxsI1a5sY2vsShva+hLGDp854nFZO57iD+85BqdRRHOXhCWPdOT8mBt19BQs5z3aLE624wPs973kPmzZt6vYwjFVOtP536H6S1SURgIVAIhD8f+z9eZykZX3v/7+u615q6eq9Z3pWGBhg2EW2EVHRI5FEPUciByEHE+RrXCKoSKIRjwoSFePxKEL4uZ0EUfFESYwnGoNBFDeIILiwrwMzw0zPTO+138t1/f64q6u7p/ee3vvz5FGPmb7rrqqruqi533XV5/5cDi6OUuiRwXs69SYmxsbJjPfQSZWxUcS1BXqGjTgorqIZXjm5Uoix5vI4OBS+CxVDEK6ef1uEmC7PURQqhp7B6JBDNyyz4P3v//7v/Md//Aef+cxnFnsoYhVRIy7DG1V9ttvBReOilcIhWQxHa1COnrrUJDbY2CZhm6TyJDQ66QWOxU6j1GIlG3r+k11W0wcRIebjONiYdUh5yQd+IcRorqNIeYpKaLGWQwrdsIxqvPft28fb3vY2vvvd75LNTt7/cUi1WqVardZ/HhwcnK/hiRVqzFtLKZLPq8lFKwelXBzr4JD0/HeURWsLjsI6U5y0FEUQDtd421rwjq2dtH/1auldbYkwNpx8H+lqIlaJ+ToOBqEhiCyeK2sKCHEwYyCIbP28rmLZHNIJyctixttay1ve8hbe+c53cvrpp0/7dtdffz3Nzc31y+bNm+dxlGLFq4VuRTLbrXDQysVRLg4Ojk5qvF0s2jFJK8GpFscJI4ipBW+FsZbAOMTWEqsomdUdCuCrcOZ7OjPeq+VDiFjd5us4OFSz6jqKtLcsIoEQCyqIDK6jWN/m1s+JOJRWnIv6LvvgBz+YBJhJLo8//jg33XQT+Xyeq6++ekb3f/XVVzMwMFC/7Nq1a56eiVjR6t1JdK1zSVLfrbWDVg4aB9e6uFrhKnB1MuOtXA3TmPE2kSUyisgOlZooIju0ZmNt2fpVGLqB+u9gsv+kxlssZ4t5HBx5olhrzpmyMk6I6bMjLsubUsn7Qys16oTk2YbvRS01+cu//Eve8pa3TLrPkUceyY9//GPuvfdeUqnUqOtOP/10LrnkEm699dZxb5tKpcbcRoip1E+qHNUOUNe3KeXULi5a+zgqhYuDqxS+BlcbtJuUmkx5JKuG2BBiq+stvau1UpOYSGq8TYRh8lITY6TURCxfi3UcjGJLf2n4RLEohpUQkla0wsJPHrp+37T31U4RoNaz++D/l+yM7msxnisAubGVEb6r6mUmMNz3frBsSLkzf88savBes2YNa9asmXK/G2+8kY9//OP1n/fs2cN5553Ht771LbZv3z6fQxSr1ajAnITuJJBrkm4mQ7PdLq718JSDpxWOtrhqKHg7k69cGccQxZgAIquTVoLWEta6mkibvOGuJlPtJcRytRjHQaUUAyVD2ndGnCgm76Ml7/lvLPhDtq2dyblxhijMMN7/S8a6tK19cPp39fzTM3jcOXTC2G+Uxps/GwrfvYVoxg+xLE6uPOyww0b9nMvlANi6dSubNm1ajCGJVWHkAgAKarPcSjk42sNRycUjjas0ngZPWVzHojyS+u7JlrUKAggiTKSIDMS2dhKH0cQ2xCqDtXFtxnt1znpPZ8ZfarzFajCXx8FUKoWjD707gxCjaUy8fPpzH6rGrEM1nPkE2bII3kIslOHe3br+51Bdd73mEgelHRzt46kUrnXxnFrwrs94A54zaR9vVa1AEBGHisjqWvi2VI0iwhKpsDbbW6vzxq661nnGxmAnn1GQriZCzIwxhqasltAtxCHKpmZ+quSyDN5btmyRZaLF/KkvBa9GhO7abDdubbbbR6ukvts3Pr5SeApcZfEck8x4Ow52sgV0gjCZ8Y410Yhl4gOjiK1JZr1XcX03kCyQI0vGCzHGoRwHgyCQ0C3EIlmWwVuI+ZYEbj2ib7cD6CSA66TUxFMpPJvCw8V1FJ4DvgZHx6ihMpNJ2gmqShVbjYhCXe9qEluoGkVIVK9tXtXh207dtUS6mgghVoXD37zgD9n76H/OYG9DY+tTaD32W8qg0kq5OP3VVtef9pIZPO7yIsFbiPGMmKlWQzPeOOj6bHdS3+2TwlealE5mvD1t8FwD3jQ6moQhthoTxU49dMc2mfGOiIkZMeO9SsN3UkYyxe9xlf5uhBCrzDgdN+ZbFDwx7X39VA8Nud2gxn4T46X6yfedMP0HXoTnulAkeAtRM7q+e/iSlJjo4RMqtYer0rgqjWd8fO3i6aSVoKcMjjYoT4GrJ63xZmjGO/IITVLjbawliCFWcVJmscr7VI+scZ98HyGEEItKWVBg7dA3xbXNxFNNn6wqEryFGGmovlvVArdyGVliopWDo9J4KoVv06Ssn4RuB3xt8bTFcS3KUZOH7iCEaoANLKFJZryTdoKGqqHWwzs+qMxkxEmWq0RSwyo13kIIIVYGCd5CHCSZ+XZGdTFJAreP4ySh21VpfJPGUw6+M1RmYvF1jOPGoN3Jl4uvVKAaYKqWsHZyZWwsMSSlJioitsnCMau5xtvakKlbKUpXEyGEEMvDoi4ZL8SSpHQy410rNdG6VtutPVxqtd02TcqmSGmHVG3G29NJD2/tAu7kNd6qWoFKiAmSvt2RVUkfbwyBGbtq5Wqa5R5taMZ7ssvsfjc333wzW7ZsIZ1Os337du677765GbIQQggxAQneQjC2f7eq13bXloZXLlp5uDqNrxrwbRofF19rPK1IaUgN9fB2LMqpdUSZaLa6Wq3NeCuiWn13ZC0xhtBATFib8Tas6hlda6Z3maFvfetbXHXVVVxzzTU8+OCDvOhFL+K8885j//798/AkhBBCiIQEbyGGqOHwrZRb69+tkzKTWjcTlxSuTZGyKdLaJeVoUk5yHqWnDZ4ztFx87b7MOLOxxqLKFWw1Ig6S4D20amWMIYgZsXjO6pacXBpPcZn57+mzn/0sb3vb27jssss4/vjj+eIXv0g2m+Uf/uEf5uFZCCGEEAmp8RZiBIWqnVip0bho5QzPdqs0HmnSNk1KefhakXKSbiYpZWsdTeJay+/aSZrWjC2EqCb13bYSEYUOYa2Ht7EWiyE0tr5wzMH13auv5MTOtpJkQkEQ8MADD3D11VfXt2mtOffcc7n33nvn9sGEEGIFa2h6hlzzMwAoPfG3s1oHdG7+DwCs1XR3vRQTZRdkjEuNBG8hxqiFbT2yk4mPi4dH0skkpR18Ryeh2wHfMfUa76SZSW3Ge5wyCFWuQLWKLUdEkUNgR5eaBMYmq1bWSkyS8G1W3XLx+Xwe0Ngpv5iz/PznP2dwcHDU1lQqRSqVGrN3d3c3cRzT2dk5antnZyePP/74IY5aCCFWDz/dh5caOGjr6H+zLQql4+H9rELrAMPqDN5SaiJWvVH13UOz3bpW142L1j6u8muhO4WvkhKTtKOS0K3BV7WOJk6MGvlxNj4oeBubzHiXA2zFEIZufcY7ObkyJjS2vnjO6i43USTT3ZN94EhOvvzv//2/09zcPOpy/fXXL8wwhRBilcr3HwVWYa3CWgdrHcYueqZHXAdR2EAUtCz0UJcMmfEWYpSkm4lC10pMHDQuLilSZJLZbidpIZhykpMq09riO8lst+NYlEOyZLy1EMcQhuB5yd1XK7UZ76FWgs5wRxNriVQEtVKT2EbDs92rUH9/Hy0tLSTheqIOMUko//rXv87f//3fj7pmvNlugI6ODhzHYd++faO279u3j3Xr1h3aoIUQYhWJghaisAHXL0zjS9lkh1Jh5a5KOR0SvIWAUa3/lNK4OlVrI+jiKA9XpfCMT0o5pLUmXTupMl1bOCelTNLRRFvU0H3FBsIoWSzHcSGO6mUmlEJMBYJIJzPeJlk8x2KJhkpNVnH/boDm5mY+//nP8973vpckeB8cvpPZ7p///Oek02nS6fS07tf3fU477TTuuusuzj//fACMMdx1111cccUVc/gMhFiatNZEsSWIhpNSGFmi2DJQXMVdlMQYg3hT7mP6jyPX+jTWaiaeJAGFwaI40Hc8Zor77c1HMx3qvBgoxkSxJYzG/1QRxTMvAZXgLUTN8ImVLlq7KJKVKx3l49oUvvXwnVqZiU5Cd8qxpLTBc2zS0cQxyZK5xqKsQUURRCG2qpLZ72oFyslS8SZUyaqVQ6UmJP27Q2uTbh1WDoDvfOc7a8F7vFlvAyhe9rKXzfh+r7rqKi699FJOP/10zjzzTG644QaKxSKXXXbZHIxaiKWtpaWFnrxBF8P6NmMt1sIP7h/AdSZf4NtaCCKLtRbf1ehJilaj2BLGFs9RU97vTE33vo2BIDIopfBdNdkSCzM23fueye9spubz9QiYxuz04Ca8yqnE1iW0Hq4KcdXY4KwAa10C20iIRmHxJvhG1/9539SPO465fj2i2NJfjFEqRo9zZ2a8zmVTkOAtxChOrYWgh6v8WpmJh2/9Wm23IuUmtd0jy0w8FeMoM+JNbiGMIYqgWkXZZPZblcpJ8C6HhBVNaDShTUq/TW159NhaYjv0j1Y8qz7VK4Xv+9x+++1ceOGFjJ71Tmq/Z3sy5EUXXcSBAwf46Ec/SldXF6eccgp33HHHmBMuhViJhr6VO3hxXQukPI3nThzIrLX0FZJZwNYGB8+bOkEWyzGFiiGX1jRknEMZ+qj7LM7gPr0Q+ooxsVG05pzhbyYPQRgaBisxrqNobdBT3mfaT353hUo87d/dVOb79VDTXEciiH1KJk2DW6DBKY03UgCioAlNhIMij49BkSMYc8Jhyp/572Y+Xo8wsmgVo9T4i1HP5ugswVuIUWKMiYhNlchWia0itGUqqoRrXJxQgYXYaKpGUY41A6Gmz3XoCVI0lRpo6anQtKNCtnEPXvML6KxGOWBjMAVDpVfT29/AC4UGdpV8dpagq1SlR/eQj3vYr2IqYT9hXMLaKGkhuMo6mox0wQUX1P42ctY7me3etm3brO/3iiuukNISsWopBXpkkjDJu8pzk5nC8Rhr6Rk0GAtrm138aQZHv9HFdWIGywbXMTRmDy1850sxpcDS0uBM+75818FzFd35mMGSob3JGXcGc7qC0DBQNqQ8PYP7UqxtUfQMxgyUDR2umvbvcDwL8XrE0+jnWsKlFOdo9ntodPOMX25iwWqM8dFYXCwuVQZIUcKnieqo8D3R/4MTmc/XQymFPvj9MnSdzHgLMXNDwdZiIA6J4yJBuJ/+QkiscoxqUjfhm3n0m1VNUudWf0yg/nm5FqxjY/h93+9WYb/uiSml+MUvflErKRme8e7q6lrMYQmxqiQhLyaMLR2NzowD41C4GyybUT/PVL6UBMamjJ7xffiepqMRuvMxPYPxrMN3EBq68zGeo2Z8H1olt+kZjOnOx3Q0MqvwvVRejxIuRTwaCGh0ipPuG8cpRoZyD0tzLXwPkhoTvqdrKbweMyHtBIWYgK3F31EXaye4xKMuxkaTXob3rd2e4aZ5ErrHOvvss0n+wTZADGgpCxFilmZaZnGoIW9IY9ahKaMZLBvypZmfw3IooXtIEr4dwjh5TmaG3yYeSsgbMhT2PCeZgQ/CmRUsLJXXYzh0h2SJieOJTnCvlZmEuTHXDIXvCMUgqRmXbiyF12OmVtWMt7XD0UaIqcRxTBwv7AmOxhiWz/+fyTjtApXBPPHE4/XSkmIxvyCPKcRKY62tdTWBkRWqQ2/jahARRcPhxVjLYMkQG2jOaqLYEB28PsEMOBpSrqW3EFENY7Kp6YXGUtVQrFoaUgpHW0qVQ+t6kUvBQCmmqzemKaunFdii2DJQMjgaMr6mUj2040PGt4Qlw75+Q3NWT+tkx4V+PSZ6ihXlUlUuKRuibUQFCKo50nrohN2Rz8VijaYcTdTJxJKhSkH59OLTYJOVnaeyEK9HbCzGWKyCeJyykqj2kDM5Dq6q4J2shAertS+ymJlnn31ysYewLOTzeZqbm+f9cY455hhAc9ddd5LNrs4Vz4Q4VPl8nr/5m79Z7GEIsaLM5Dio7EJNVy0Bxhj27NlDY2PjqK/aBgcH2bx5M7t27aKpqWkRRzh7K+E5wMp4HivhOcDUz8NaSz6fZ8OGDei57I0lhJg3chxc+lbC81gJzwHm5zi4qma8tdZs2rRpwuubmpqW9f8gsDKeA6yM57ESngNM/jwWYqZbCDF35Di4fKyE57ESngPM7XFQpqmEEEIIIYRYABK8hRBCCCGEWAASvIFUKsU111xDKpVa7KHM2kp4DrAynsdKeA6wcp6HEGJqK+H9vhKeA6yM57ESngPMz/NYVSdXCiGEEEIIsVhkxlsIIYQQQogFIMFbCCGEEEKIBSDBWwghhBBCiAUgwVsIIYQQQogFsCqD95YtW1BKjbp86lOfmvQ2lUqFyy+/nPb2dnK5HBdccAH79u1boBGP9dxzz/HWt76VI444gkwmw9atW7nmmmsIgmDS273yla8c89zf+c53LtCoEzfffDNbtmwhnU6zfft27rvvvkn3v/322zn22GNJp9OcdNJJ/OAHP1igkY51/fXXc8YZZ9DY2MjatWs5//zzeeKJJya9zVe/+tUxv/N0Or1AIx7ftddeO2ZMxx577KS3WUqvgxDi0C33Y6EcBxeHHAcP7XVYlcEb4LrrrmPv3r31y7vf/e5J93/f+97H9773PW6//XZ++tOfsmfPHt74xjcu0GjHevzxxzHG8KUvfYlHHnmEz33uc3zxi1/kQx/60JS3fdvb3jbquX/6059egBEnvvWtb3HVVVdxzTXX8OCDD/KiF72I8847j/3794+7/z333MOf/Mmf8Na3vpXf/OY3nH/++Zx//vk8/PDDCzbmkX76059y+eWX85//+Z/ceeedhGHIa17zGorF4qS3a2pqGvU7f/755xdoxBM74YQTRo3pF7/4xYT7LrXXQQgxN5bzsVCOg3IcPFSLchy0q9Dhhx9uP/e5z017//7+fut5nr399tvr2x577DEL2HvvvXceRjg7n/70p+0RRxwx6T7nnHOOfe9737swAxrHmWeeaS+//PL6z3Ec2w0bNtjrr79+3P3f9KY32de97nWjtm3fvt2+4x3vmNdxTtf+/fstYH/6059OuM8tt9xim5ubF25Q03DNNdfYF73oRdPef6m/DkKImVuJx0I5Di48OQ7O7HVYtTPen/rUp2hvb+fFL34x/+t//S+iKJpw3wceeIAwDDn33HPr24499lgOO+ww7r333oUY7rQMDAzQ1tY25X633XYbHR0dnHjiiVx99dWUSqUFGB0EQcADDzww6veotebcc8+d8Pd47733jtof4Lzzzlsyv/eBgQGAKX/vhUKBww8/nM2bN/OGN7yBRx55ZCGGN6mnnnqKDRs2cOSRR3LJJZewc+fOCfdd6q+DEGJ2VtqxUI6DC0+OgzN7HdxZjXSZe8973sOpp55KW1sb99xzD1dffTV79+7ls5/97Lj7d3V14fs+LS0to7Z3dnbS1dW1ACOe2tNPP81NN93EZz7zmUn3+x//439w+OGHs2HDBn7/+9/z13/91zzxxBN85zvfmfcxdnd3E8cxnZ2do7Z3dnby+OOPj3ubrq6ucfdfCr93YwxXXnklZ599NieeeOKE+23bto1/+Id/4OSTT2ZgYIDPfOYzvPSlL+WRRx5h06ZNCzjiYdu3b+erX/0q27ZtY+/evXzsYx/j5S9/OQ8//DCNjY1j9l/Kr4MQYnZW2rFQjoMLT46Ds3gdZjQ/voT99V//tQUmvTz22GPj3vbv//7vreu6tlKpjHv9bbfdZn3fH7P9jDPOsB/4wAcW/Xns3r3bbt261b71rW+d8ePdddddFrBPP/30XD2FCb3wwgsWsPfcc8+o7e9///vtmWeeOe5tPM+z3/zmN0dtu/nmm+3atWvnbZzT9c53vtMefvjhdteuXTO6XRAEduvWrfbDH/7wPI1s5vr6+mxTU5P9P//n/4x7/VJ+HYQQw1bCsVCOg6Mt5X9/5Tg489dhxcx4/+Vf/iVvectbJt3nyCOPHHf79u3biaKI5557jm3bto25ft26dQRBQH9//6hP+vv27WPdunWHMuwxZvo89uzZw6te9Spe+tKX8uUvf3nGj7d9+3YgmSnYunXrjG8/Ex0dHTiOM+YM+Ml+j+vWrZvR/gvliiuu4Pvf/z4/+9nPZvxp3fM8XvziF/P000/P0+hmrqWlhWOOOWbCMS3V10EIMdpKOBbKcXC0pfrvrxwHZ/k6zPqjwQryjW98w2qtbW9v77jXD51Q8k//9E/1bY8//viin1Cye/due/TRR9uLL77YRlE0q/v4xS9+YQH7u9/9bo5HN74zzzzTXnHFFfWf4zi2GzdunPSkkte//vWjtp111lmLdlKJMcZefvnldsOGDfbJJ5+c1X1EUWS3bdtm3/e+983x6GYvn8/b1tZW+/nPf37c65fa6yCEmHvL8Vgox8GFJ8fBYbN5HVZd8L7nnnvs5z73Ofvb3/7WPvPMM/Yb3/iGXbNmjf2zP/uz+j67d++227Zts7/61a/q2975znfaww47zP74xz+2v/71r+1ZZ51lzzrrrMV4CvUxHnXUUfbVr3613b17t927d2/9MnKfkc/j6aefttddd5399a9/bXfs2GH/3//7f/bII4+0r3jFKxZs3P/4j/9oU6mU/epXv2offfRR+/a3v922tLTYrq4ua621f/qnf2o/+MEP1vf/5S9/aV3XtZ/5zGfsY489Zq+55hrreZ596KGHFmzMI/3FX/yFbW5utnffffeo33mpVKrvc/Bz+NjHPmZ/+MMf2meeecY+8MAD9uKLL7bpdNo+8sgji/EUrLXW/uVf/qW9++677Y4dO+wvf/lLe+6559qOjg67f/9+a+3Sfx2EEIdmJRwL5Tgox8FDsVjHwVUXvB944AG7fft229zcbNPptD3uuOPsJz/5yVE1bTt27LCA/clPflLfVi6X7bve9S7b2tpqs9ms/eM//uNRb+6Fdsstt0xY+zbk4Oexc+dO+4pXvMK2tbXZVCpljzrqKPv+97/fDgwMLOjYb7rpJnvYYYdZ3/ftmWeeaf/zP/+zft0555xjL7300lH7f/vb37bHHHOM9X3fnnDCCfbf/u3fFnS8I030O7/lllvq+xz8HK688sr68+3s7LSvfe1r7YMPPrjwgx/hoosusuvXr7e+79uNGzfaiy66aFR941J/HYQQh2YlHAvlOLg45Dh4aK+DstbamRWnCCGEEEIIIWZq1fbxFkIIIYQQYiFJ8BZCCCGEEGIBSPAWQgghhBBiAUjwFkIIIYQQYgFI8BZCCCGEEGIBSPAWQgghhBBiAUjwFkIIIYQQYgFI8BZCCCGEEGIBSPAWQgghhBBiAUjwFkIIIYQQYgFI8BZCCCGEEGIBSPAWS8KBAwdYt24dn/zkJ+vb7rnnHnzf56677lrEkQkhhBDzT46Dq4Oy1trFHoQQAD/4wQ84//zzueeee9i2bRunnHIKb3jDG/jsZz+72EMTQggh5p0cB1c+Cd5iSbn88sv50Y9+xOmnn85DDz3E/fffTyqVWuxhCSGEEAtCjoMrmwRvsaSUy2VOPPFEdu3axQMPPMBJJ5202EMSQgghFowcB1c2qfEWS8ozzzzDnj17MMbw3HPPLfZwhBBCiAUlx8GVTWa8xZIRBAFnnnkmp5xyCtu2beOGG27goYceYu3atYs9NCGEEGLeyXFw5ZPgLZaM97///fzTP/0Tv/vd78jlcpxzzjk0Nzfz/e9/f7GHJoQQQsw7OQ6ufFJqIpaEu+++mxtuuIGvf/3rNDU1obXm61//Oj//+c/5whe+sNjDE0IIIeaVHAdXB5nxFkIIIYQQYgHIjLcQQgghhBALQIK3EEIIIYQQC0CCtxBCCCGEEAtAgrcQQgghhBALQIK3EEIIIYQQC0CCtxBCCCGEEAtAgrcQQgghhBALQIK3EEIIIYQQC0CCtxBCCCGEEAtAgrcQQgghhBALQIK3EEIIIYQQC0CCtxBCCCGEEAtAgrcQQgghhBALQIK3EEIIIYQQC0CCtxBCCCGEEAtAgrcQQgghhBALQIL3Cnf//ffz0pe+lIaGBpRS/Pa3v+Xaa69FKTWvj3v33XejlOLuu++e1e0XYoyvfOUreeUrXzmvjyGEEGJxyXFwYnIcXHjuYg9AzJ8wDLnwwgtJp9N87nOfI5vNcvjhhy/2sIQQQogFIcdBsdRI8F7BnnnmGZ5//nm+8pWv8Od//uf17R/+8If54Ac/uIgjWxr+4z/+Y7GHIIQQYh7JcXBychxceBK8V7D9+/cD0NLSMmq767q4rrz0vu8v9hCEEELMIzkOTk6OgwtParxXqLe85S2cc845AFx44YUopep1XOPVjSmluOKKK/jud7/LiSeeSCqV4oQTTuCOO+4Ytd/zzz/Pu971LrZt20Ymk6G9vZ0LL7yQ5557btZj/cUvfsEZZ5xBOp1m69atfOlLX5pw32984xucdtppZDIZ2trauPjii9m1a1f9+iuuuIJcLkepVBpz2z/5kz9h3bp1xHEMjF/bVqlUuPbaaznmmGNIp9OsX7+eN77xjTzzzDP1fYwx3HDDDZxwwgmk02k6Ozt5xzveQV9f36x/B0IIIeaWHAflOLgUyce9Feod73gHGzdu5JOf/CTvec97OOOMM+js7Jz0Nr/4xS/4zne+w7ve9S4aGxu58cYbueCCC9i5cyft7e1AcpLKPffcw8UXX8ymTZt47rnn+MIXvsArX/lKHn30UbLZ7IzG+dBDD/Ga17yGNWvWcO211xJFEddcc824Y/3EJz7BRz7yEd70pjfx53/+5xw4cICbbrqJV7ziFfzmN7+hpaWFiy66iJtvvpl/+7d/48ILL6zftlQq8b3vfY+3vOUtOI4z7ljiOOb1r389d911FxdffDHvfe97yefz3HnnnTz88MNs3bq1/rv96le/ymWXXcZ73vMeduzYwd/93d/xm9/8hl/+8pd4njej34EQQoi5J8dBOQ4uSVasWD/5yU8sYG+//fZR26+55hp78EsPWN/37dNPP13f9rvf/c4C9qabbqpvK5VKYx7n3nvvtYD92te+Nuaxf/KTn0w6xvPPP9+m02n7/PPP17c9+uij1nGcUWN87rnnrOM49hOf+MSo2z/00EPWdd36dmOM3bhxo73gggtG7fftb3/bAvZnP/tZfds555xjzznnnPrP//AP/2AB+9nPfnbMOI0x1lprf/7zn1vA3nbbbaOuv+OOO8bdLoQQYvHIcXCYHAeXBik1EXXnnntu/dMswMknn0xTUxPPPvtsfVsmk6n/PQxDenp6OOqoo2hpaeHBBx+c0ePFccwPf/hDzj//fA477LD69uOOO47zzjtv1L7f+c53MMbwpje9ie7u7vpl3bp1HH300fzkJz8Bkq8KL7zwQn7wgx9QKBTqt//Wt77Fxo0bednLXjbheP75n/+Zjo4O3v3ud4+5bugrydtvv53m5mb+4A/+YNQ4TjvtNHK5XH0cQgghlh85DspxcL5J8BZ1I9/0Q1pbW0fVbJXLZT760Y+yefNmUqkUHR0drFmzhv7+fgYGBmb0eAcOHKBcLnP00UePuW7btm2jfn7qqaew1nL00UezZs2aUZfHHnusfgINwEUXXUS5XOZf//VfASgUCvzgBz+o1/hN5JlnnmHbtm2TnnDz1FNPMTAwwNq1a8eMo1AojBqHEEKI5UWOg3IcnG9S4y3qJqr5stbW//7ud7+bW265hSuvvJKzzjqL5uZmlFJcfPHFGGPmbWzGGJRS/Pu///u448zlcvW/v+QlL2HLli18+9vf5n/8j//B9773PcrlMhdddNGcjGPt2rXcdttt416/Zs2aQ34MIYQQi0OOg9MbhxwHZ0+Ct5iRf/qnf+LSSy/lf//v/13fVqlU6O/vn/F9rVmzhkwmw1NPPTXmuieeeGLUz1u3bsVayxFHHMExxxwz5X2/6U1v4vOf/zyDg4N861vfYsuWLbzkJS+Z9DZbt27lV7/6FWEYTnhiyNatW/nRj37E2WefPerrRiGEEKuDHAflOHgopNREzIjjOKM++QPcdNNN9dZEM72v8847j+9+97vs3Lmzvv2xxx7jhz/84ah93/jGN+I4Dh/72MfGPL61lp6enlHbLrroIqrVKrfeeit33HEHb3rTm6YczwUXXEB3dzd/93d/N+a6ocd805veRBzH/M3f/M2YfaIomtU/vEIIIZYPOQ7KcfBQyIy3mJHXv/71fP3rX6e5uZnjjz+ee++9lx/96Ef1Nksz9bGPfYw77riDl7/85bzrXe8iiiJuuukmTjjhBH7/+9/X99u6dSsf//jHufrqq3nuuec4//zzaWxsZMeOHfzLv/wLb3/72/mrv/qr+v6nnnoqRx11FP/zf/5PqtXqtL5e+7M/+zO+9rWvcdVVV3Hffffx8pe/nGKxyI9+9CPe9a538YY3vIFzzjmHd7zjHVx//fX89re/5TWveQ2e5/HUU09x++238/nPf57//t//+6x+F0IIIZY+OQ7KcfBQSPAWM/L5z38ex3G47bbbqFQqnH322fzoRz8ac/b1dJ188sn88Ic/5KqrruKjH/0omzZt4mMf+xh79+4d9Q8OwAc/+EGOOeYYPve5z/Gxj30MgM2bN/Oa17yG//bf/tuY+77ooov4xCc+wVFHHcWpp5465Vgcx+EHP/gBn/jEJ/jmN7/JP//zP9Pe3s7LXvYyTjrppPp+X/ziFznttNP40pe+xIc+9CFc12XLli28+c1v5uyzz57V70EIIcTyIMdBOQ4eCmUP/r5CCCGEEEIIMeekxlsIIYQQQogFIMFbCCGEEEKIBSDBWwghhBBCiAUgwVsIIYQQQogFIMFbCCGEEEKIBSDBWwghhBBCiAUgwVsIIYQQQogFsKoW0DHGsGfPHhobG1FKLfZwhFjWrLXk83k2bNiA1gvzGf5f/uXjrFv3as4666wFeTwhVho5Dgoxd2ZzHFxVC+js3r2bzZs3L/YwhFhRdu3axaZNm+b9cXbs2MGxx25j/fo2Hn/8OdLp9Lw/phArze7du7nppptw3bHzbtZa+vr6mCgWuK6L67pEUUQURTN+bN/30VpTrVYnfIypKKVIpVIYYwiCYMa3P9TnMORQnsuhPoch8noMm6/XQylFa2vrpB9SP/nJT87oOLiqZrwbGxtrf9OAfNIX4tBYwIx4X82vD33oz7noolfx8MM7uPGm9/GB939hQR5XiJWksbER13XJpn0OnqCzFras24CjJz4+lqqGYtXSkFJkU9Ob4TPWMlgyxAaasxrXObTjbxRbBkoGR0NTVqOnOXM/m7FPZLbPabZjn4i8Hon5ej1iY+keNEz0lIxJ/pzJcXBVBe/hTywKCd5CzI2F+Lr617/+Nf/6r/fw6GNf44kndnLRm67lz9/6Cdra2ub9sYVYSYber1qD5w6HHWMsxkLKd/Hdid/T2TSkSjGDZUPKUzRmnUkfz1hLz2AMStPZ4uB7c1OWlvYN3fmYcqBob3KmDHv5Ukw1UrTlnCnHPF3ZdPLcClVLR6Oe8rkFoaG/FJP2nWmNeXpjkNdjyHy8HkFk0TpEK9DjfCANoyR5z+Q4KCdXCiGWNGstf/lXf8673/NGNm1aw6tffRrbtx/PdX/zjsUemhCrUmPWoSmjGSwb8qV4wv2GQl4YWzoa5y7kAfiepqPRIYyTxzCTlBfka8G0KaPnLOQBaJWETM9RdOdjgtBMuG8QJsHUc6YXTGdCXo/EUnk9phzngj2SEELMwr/927/x6CPP8YEP/El926f+9h186Yv/yrPPPruIIxNi9Zoq7M1nyBsynbA3XyFvyHTC3kKEPHk9Ekvl9Zh0jAv6aEIIMQNRFPGBD1zBRz56Kc3Nufr2k046kj/5k1dz9dV/voijE2J1myjsLUTIGzJZ2JvvkDdksrC3kCFPXo/EUnk9Jhzfgj+iEEJM0//5P39NFMW8/e3/dcx1137sMr7//Xu57777FmFkQggYG/YWMuQNGS/sLVTIGzJe2FuMkCevR2KpvB7jWVUnVwohlo9CocC1197C3/3dlXje2H+qNm5cw5Xvu5C//Ku38bOf/lZ6EgsxA9YmJ1QOMdZiLYTRzNvKpXxNNrb0F2P6izFKQWuDA0oRzOL+ZkUpmjOavmLMC93JDGcurUn5euHGQNIZo68Qs68/aY3nuYqmrCaKIekENf/k9Rh2qK9HGFmstRiAcUrGZ9OFUYK3EGJJ+l+feTdHbt3A+X/88gn3+au/uoivfPl7fO973+O//bf/toCjE2L5GupzPCJ3Y2wSIqqhITYz/xCrtcL3kts5ShFbiIOJT26bL2lPE9een9aKyiKNQankcVOuphpaFip0D5HXY/QYZvt6RHHS7Wcup3UkeAshlqT/383/wjdu+8ikM9lNTQ385V9dxI03XifBW4hp6u/v5/DO9aRTwxEgjCzV0PDaM5ppbpj/UgAhloOBYswP7h8g5Wm8cdpsVqozX/RHgrcQYkmqVg0b1rUOr1AwgY3r2wmC7AKNSojlzxiD66gx/bpjo2hucGhrlGggxBDXUXju2PcLQBTNfC5c3l1CiKUrKUSdeh8hhBBiGZDgLYRYuuI4uUxmqmAuhBBCLBESvIUQS5eZzoy3BG8hFkM5LvNY+bFR247LHEfGySzSiIRY+iR4CyGWLmumDt5GSk2EEEIsDxK8hRBLVxRDNMVZ42aKUhQhhBBiiZDgLYRYumTGWwghxAoiwVsIsWQpa1BT1nBL8BZiJmSVVyEWjwRvIcTSFRlqa/tOLJaTK4WYiVQqRRTLB1YhDpWZRTtbCd5CiKVrOqUm0sdbiBkxxjBQMqR9g+/pxR6OEMuSsZbB0swnfuQdJ4RYuoyZ3kUIMW1BEOBo6M7HBKG8f4SYKWMtPYPxrL5wleAthFi6rE1mvSe7SI23EDPWlNV4jpLwLcQUDp7bGQrdYWxpzs48RkvwFkIsXXFcayk4yUVqvIWYMa0U7U1OPXyHEr6FGFcQmfr7Y2To7mh0cJ2Zn6i8bIP3pz71KZRSXHnllYs9FCHEfJlOmYnUeItV6lCPgyPDd18xlqotIcahVPL+qIZmVOie7fkRyzJ433///XzpS1/i5JNPXuyhCCHmk7USvIUYx1wdB4fCt6OhGknyFuJgvquScyIGY4Lo0EI3LMPgXSgUuOSSS/jKV75Ca2vrYg9HCDGPVBxPfZFpOrHKyHFQiOVr2QXvyy+/nNe97nWce+65iz0UIcR8M9OY8ZbgLVaZuTwOjuzOkHKXXSQQYt4FkSU20NHk4LuHfkLysurj/Y//+I88+OCD3H///dPav1qtUq1W6z8PDg7O19CEEPNB+ngLMcpcHgdHnijW2uAga+oIMZa1yfsj5WnamxQ9gzHd+ZiOxtnd37L5eLtr1y7e+973ctttt5FOp6d1m+uvv57m5ub6ZfPmzfM8SiHEnJqqo0kUy4y3WDXm8jh4cHcGTxbSEWJcvqvr74+DuwHNZgXYZfNOe+CBB9i/fz+nnnoqruviui4//elPufHGG3Fdlzgeu6z01VdfzcDAQP2ya9euRRi5EGLWpnNypZFpOrE6zOVxcLBkDrk7gxCrgT7o7TEyfA/MYuXKZVNq8upXv5qHHnpo1LbLLruMY489lr/+67/GcZwxt0mlUqRSqYUaohBirlk7jVISCd5idZir46Dv+8QGOlskdAsxG0Phu6t37IfdqSyb4N3Y2MiJJ544altDQwPt7e1jtgshVoihBXQm3UdKTcTqMFfHQa01zVktoVuIQ6CVomkWK1cum+AthFiFhrqaTEZOrhRiRqrV6qxW3BNCjKbVzN9Hyzp433333Ys9BCHEfJpOu0Cp8Rar2GyOg1Y+rAqxaJZ18BZCrHDGJOUmU+0jhBBCLAMSvIUQS5exU89oy+ydEEKIZUKCtxBi6ZpOqYkEbyGEEMuEBO85oFiYk1SstE0Tq01spKuJEEKIFUOC91yYxVmtw8ZrRTN+kBgT8Gcw0yehXSxLUmoihBBiBZHgPQcUYxctODTD9zdpYFYTzPSNE0QODu0SxMXyYMBKqYkQQoiVQYL3IVIoXLd50n3siOCg1OTN1of2tbVZbzsmdMRj9h01Q24NQxl7bLgeMQ7UpIFFgrlYEiKTXCYj7QSFEEIsExK854Dn5mZ1O1UrM7EjArG1JrkcFLxHB/BkH1Ry2+Hr4mRb7Wd1cCDHGR2oD54xHxHER86QSwgXi8ZOYwEdaScohBBimViVwXvjxk1oPTdL5Srl0pQ9cvKdRobmETPe1sTEkUMcKqLAYiKNNRDZKpGtYm08NpQTY0yEqQVuY8NRYX3o70PhfHSAj0eMxYBNwnU9WKva9lFjtxOePCqBXMy7adV4z+wu4zjm2muv5Rvf+AZdXV1s2LCBt7zlLXz4wx9G1c7XsNZyzTXX8JWvfIX+/n7OPvtsvvCFL3D00UfX76e3t5d3v/vdfO9730NrzQUXXMDnP/95crnZfRAXYiFV9/ejRlRJRigCHPb+66MUCad1H4Eb0dfRO2rbnu79+NHMokXzi4/CzWVwchmcTAon5aHm6BgtxFKzKoN3R0cHjjM3ddlKOeTSk5eawHBIPTjEjiw9USoJ3iZW2FgRR2AiS2wgjkKMMRhjsaFLVNJU4iIxIcaGRLaKIQnixoYYExHbCGtjjI1qIT2qh/Lhv4Mirm8Hpx7OLZbh4U4/kI98vkIckjieuqvJDGe8//Zv/5YvfOEL3HrrrZxwwgn8+te/5rLLLqO5uZn3vOc9AHz605/mxhtv5NZbb+WII47gIx/5COeddx6PPvoo6XQagEsuuYS9e/dy5513EoYhl112GW9/+9v55je/OaunKsRqNfCbp8ds076LTnnotI+T9pO/+x7ac1Gei5NN4bc14WRT9Q/MQiwHqzJ4z7Ws2z7r2x5c8221wbjDM9XDM9RpDBZLjMXiqhRxtRGKaSh5mIqFkmLQFghUQESVKiUiqvUZ9NhUMTYkthHGhBgb1QO4HfqzXroSo2BWgRzkZE4xRyxTnzw5w5Mr77nnHt7whjfwute9DoAtW7bwf//v/+W+++6r3Z3lhhtu4MMf/jBveMMbAPja175GZ2cn3/3ud7n44ot57LHHuOOOO7j//vs5/fTTAbjpppt47Wtfy2c+8xk2bNgws+cphBjFBBEmiCBfnnQ/J+PjtzXhtTXitTbitzbiNKQljIslS4L3HGhVYw+yZpygqafT71sltzVEyf2oEeUiymJqwRvApmNUxknCMzGuStNU7sDJe/glB8oxhWpAyYaUqVJxy1QpU6FARJXQlohMFWMjYlNNAnmtdMXYCGMiRpasjC5XGfpgcFAt+MHlKuMEcQnhYtqm2U7QGMPg4OCozalUilQqNWb3l770pXz5y1/mySef5JhjjuF3v/sdv/jFL/jsZz8LwI4dO+jq6uLcc8+t36a5uZnt27dz7733cvHFF3PvvffS0tJSD90A5557LlprfvWrX/HHf/zHh/CkhRDTFZcDyi90U36hu77Nyfj4a1pJdbaQWtuK19wgQVwsGRK850AnbWO2HRy8pxW6R9zWWoutRe5k0s/WZrxroZvhnw0Gq5LbmJSBFEQqwrU+HdUsfknREMfYckixEtNXjamYmLytUNUBZVWmooqEtkJImchWiEyV2FaJTDCt2fFkULVAbtWIunEJ4eIQTKfUJDbs2rWL5ubRJV/XXHMN11577ZjdP/jBDzI4OMixxx6L4zjEccwnPvEJLrnkEgC6uroA6OzsHHW7zs7O+nVdXV2sXbt21PWu69LW1lbfRwixOOJyQHnnPso79wHgpH1Sna2kOlvx25vwWnJSQy4WjQTvQ2ZYn/VG/JQY+e330AftiZbKOXi7qd2+Hrhr9zX0rXv9MbBYC3Ft59gmMTa2YKzFqCSImxQUbYwiTSpWHBZY0nGEDkN0NaKnbBioGgJjyEchJRtQ1GUqqkRFFQhsqT47HttqvX58qJZ8VCAfCuM2ZMwJnJOEcAngYlzTPLly8+bNPPTQQ6M2jzfbDfDtb3+b2267jW9+85uccMIJ/Pa3v+XKK69kw4YNXHrppXM1ciHEEhFXAkrP76P0fBLElaOTspT2ptqlGbcxI7PiYkFI8J4DG7LDf58oI+gR4Xs6p4IN348aFbyH/ky2qfrf65faz7FN2h8bIDY2aYdsbfL3lKViParGx1cOGWNpDGO8KCYVR6hqlXy5mf1lSyU29AchJRtS0RWKqkhFFQhticCW67XjsakmwdwEtTKVoBbCk9IVNdFMuARwMZmh/6En3ceitaapqWlad/n+97+fD37wg1x88cUAnHTSSTz//PNcf/31XHrppaxbtw6Affv2sX79+vrt9u3bxymnnALAunXr2L9//6j7jaKI3t7e+u2FEEuTjQ1B9wBB90B9m/bdJIwP1YqvacZtkDAu5p4E7zmwOTO69dLQjDWMnu1WajhAWDv2zTzR9QcH9ZGz6bYWzIdmw2NUbcZ7+M/IQmAUsVUEBgIDoYHIeEQWqrEl9B1iCz2xQakGXAOb45hUGKHDABVEFCuGPSVDJbL0hyEFG1BSZUpugRIDBLZA1RSITJkgLiYz4ybA1spUUPHYcpSDZsElgIuRbGywUyygY2e4gE6pVBrTTtRxHEytO8oRRxzBunXruOuuu+pBe3BwkF/96lf8xV/8BQBnnXUW/f39PPDAA5x22mkA/PjHP8YYw/bt22c0HiHE4jNBRHVfH9V9ffVtTtrHX9OM39aE25zDa83hZtMoLWFczJ4E70NlLZtyxVGb6jPUVtXDtFYzC95jrptqGLX7NDb5MwnhGmMUkVFEVhMaRWg11VgTWkU1VgRDfxqHIIbAJn+GxhIZl5LxKcdpLBbHQmcYk4sjUkEVKgE7i40MBmvoq0b0mQp5nWfQ7aVoeghMgSguE5pyMhNuonoIt4Tjz4LLDLgYydo572ryX//rf+UTn/gEhx12GCeccAK/+c1v+OxnP8v/9//9fwAopbjyyiv5+Mc/ztFHH11vJ7hhwwbOP/98AI477jj+8A//kLe97W188YtfJAxDrrjiCi6++GLpaCLEBJ4lzw95gbPp5ERaZnTu02KIKwHlXQco7zpQ36Z8l1RHC6m1zaTWJjXjUi8uZkKC9xxY01EY9fPBq7zXOwYO/RszUU5QY8P38G1tffZ8zP2NWySejMMaVesLDnGsiCOHKNKEoUM1dghjh0rsUI01FeMQxIqK0VRMEsgrtZ+DOJkpr/ouRePTY9KkULQGIdtslWy5xI68T1e5ke7yWvbaPANOH0Wnj4odIIiLhKZMFJdHzYJbG9YGGmHRw11RJIALmHZXk5m46aab+MhHPsK73vUu9u/fz4YNG3jHO97BRz/60fo+H/jABygWi7z97W+nv7+fl73sZdxxxx31Ht4At912G1dccQWvfvWr6wvo3HjjjTMaixCLwff9RfkX9X66+T88ya08w1ZyvJbNvJr1rCOzCKOZHRtEVPZ0U9mTdFHRvkt6QzvpjWvIbGhH+94U9yBWOwneh8gC6Y2MDr/jfTM+Xjg+6PokWA/VpgylbJUEbaWSi06uU0oNTaPXtw3dduhrsOGv4C1EFmKDDQ02irBBAIElrljiCsRVTRg4BIFLJXSpRC6VyKEcOZRih3KsKY8XxlMOeyIflW2koaHK61Q//YOKhwZa2Vtqpqe6gV7yDLi9FOmjYgYJ4wJhXCYyldrJmQHW6vEDOEgJymo2dLLCVPvMQGNjIzfccAM33HDDhPsopbjuuuu47rrrJtynra1NFssRy5LWmqLySRGMe9L/fFIosjg8wSCP8zBf5HG2s4bz2MjLWEtmmcUSE0SUnttH6bl9KEeTOWwtDVs3klrbIvXhq0CpOrMF3ECC95xwN+TG1oIMZYGJth9MMRy2IZnW1rVQjQLXqe1TS+hDodtxwBnaVycXR9fu4qB/Uo1BGTvcoi0IcYMQwggqEbYcYsshplTFlAxRCcKyQ7XiUq76lCOXUugmQTzSFGNNJdaUYk05hqqf4fdxGj8dc876PG6xyEMH0uwppdlbauNAUKFPDTDgd1MyfVTjQYK4WJ8FPziAgzO6DlwC+OozD0vGC7HaVatVYhoYJEUT1TkL39ZanrMF7AQlJAeoAJDBJYOLwVIg4ifs5W666CDFH7CBP2DjsihFOZiNDaUdXZR2dOE0pMlsWkNmUwf+mla0I+UoK02+FFOszvwAJMF7LnQ0JYF3OowZ/dV4/ezL2u3rZSR6dLhWtfCNGg7ZjgbtYB0H3OTvOC44Otk2dB9O7WUeWepiDUQxKgohCCAIUWGAqgbocgXKVfxSFVuoYksBplDEFAxRURGUHMpln2LVoxh6FCKXQqQpRg6FSFGMXB6stkCmhabDDX9EH/29hif6G9hVzNJV7qDbFulzu8m7B6jEA1TjPFFcJooro8pQ1HgnYtYCuITvlc9aO/XJkzMsNRFitbPWkrMBZVL18D0XnotKXB8/SIWJe++PXONCo2jCowmPEMMAIbfxLLfz/LItRRkSFysUnthF4YldaN8lu2Ud2a0bSLVNr/uSWDrGO8TkSzGDZUNDauYfDiV4z4WWg95I453xPLLsw4z4akJrxpSXDHGcWsiuhWs9NNNdm/UeGbI9D1w3uc10pUZPFtb/bixUK6hyBcpldKWCLpagVMEvlskMVmgqBMQDJaJBqBZcSiWfwWqKfOAxELrs913yIRQjh3ujdrx2OKq9zPZqP0/s93i+2MruQhP7gvUccLrJO/spxj2EcZEgLtZOxgzGPxGzdhKmzH6vApGZ81ITIUTyfWIzVQZq4TtLcMj3WbUxJSKyeLgTzFZPtN1D00YKi6VCvGJKUSApRyk8uZvCk7vx2xrJHrme7OHrcNL+Yg9NTEMQWdK+ZSirDYXupozG0TLjvTgyyQlXdrzArXT9bEtlah0ahs6+HDpLUqmJbzs0kz00w600tj4brpNZcK2T4D1XtIJMBpvJAK3DsbZaRRVLUCqiiyX0YBFvsEh6sEzjQJWOvhLVPk0hn6ajkKUv8BkINYOhJh/Bc1GWJ70MmU2WM0yRlxby/O5AIzvyWfZU1tLt9NLv7KNoegjjQq0MpTI6gNdrwGX2e1Wwc39ypRAi4Y0I3wV8UpPMVM+Ej8abZQGLQk1ZinIJW5flLDhA0Jsn6M0z8OBTpDd20HDURtLr2qVF4RJmraWvELO2RVEsm3robsw6lCrRjO9PgvccsEOzzAe/ceo/azAWq5LQrUxtpnYoPI9326Ft44Xu8Rg7/n3MpVQKm0pBWy2MhyGqWEANFnDyBZzBAn5vgYbeEs07SxT7ffoLGfqDFL2By0DoMBgqBkPFIyaHzTVweFPA6eU+frM3y/OFDC+U2tmv+ujz9lFyekbUgQ8F8GpS/y2z36vDUIP6SfeR11yI2RoK332kgBl8Y7oANIpGXHw0vVTZS5nvs5vjaeGP2LTYwzsk1th6q0K3qYHGYzeTPWI92l1ar4EA39UUKjF7e5OQPRS6Z0uC9xxQYTB6Vq7ekWRESLZmZIPv5GoYPlFypKEQXSspqQd0rUZ/STe0faiee6jsxHFqZSfu/IZxz8O2tGJbWkdtVgMDZPfsJdszQEdPnrgrT3DAku9L0VfM0FNNgnhfoBkI0+xT6yl1BqzLFDnPjdhV3sCTgxvYXayyV/XQ6+2laHqoRP2EUZHYVIhNkCxLb6PkA02tA8pQN0YJ4CuDjS02mvy1PLh9pxBiZjwsHmbCkyIXQ4QhT0iFGB/N0TTxejbxajawkezUd7CMRINF+u57nIHfPUPD0ZvIHbMJN5Na7GGJGq3BdxVh7QuhhsyhnSgrwXsuDBbGbtPDZSRA7StzM3Z27uCTKw+u/1Zq+CsorcepD4f6CZeOk+yrNNbR4LngJrXf1veTMD6XJSkTsM3N2OZmKJZQfb24PX24+/tJ78vTsq+Pzm6P3sEM3eU0vYFHT+Aw4PkUcj6/LucwcZk/WD/As4UUTw6sZ2eplS59gD5/D0V9gGo0SBiXZAZ8NZhOV5MZrlwphBithEuAQ3qOSk0OUJmwI0kKTSvjh0qDpUhEkQgFtOLzxxzGH7CRk2lddl1OZspUQ/IP76Dw2PNkt6yj6cQjcHPLs6RmJYliSzW0ZFOaamTpGYxpb3LQs2wXKcF7LvTlkz8PnvWeqJXguLPjB10/cjuMH8xHGhn0h/p8Ow54yey38twkeLsu1q+F8VQa0mmYr4b/DVlsQxa7aROqtw99oJvUgV78rgFyXYN0dBXpH8jSXc7QXXXpC1yaPI981uM3pSxOVOD8xn5+05/hiYFN7Kw0s99tpd95gUrUTzXKE8UuxgYYU0Vhks81Uv+9YiSLQE2xj7y8QsxaCZciHlki9CH+W7nBzfAatYFogjflPio8RN+obRZLFcMgAQZLBpeXs5Y/YhMvo5OGVRhTbGwoPrOH0nNdNBy9iaYTtsiJmIsojC25tKa10SUIDd35uB6+Z2P1/R89D+y+QezQPzRDoboWnA9uoG8P+gdpJtePeYyDjQwoGpRTqw13Fcp1khMxXYVyXfBdlO9CKgWZNDadTk6oTKWSID7HM+O2rRXb1gobC+jubryubpr29dOwt0B7V5HO3gz7S1l6qh49oUu/6zKQaeFn+QxtDQVelyvxYF8zTw9m2R23csDbRUHvpxINEMZFYnQy+w3jzn5L+F6m4triT1Pts8JnwoSYD0Ohu4EQn5jqIdZ4N2mPjzovwo/GjxbfYkc9eB9cSnIEjSu2lGS2bGwoPL6T4jMv0HTiEeS2bUbPpHOZmBOeo2jIJL9339N0NFIP3xlfuposOAUEu5JFAcZku4NKvcebuTu4DHzM/Ry0zLwdLmceccPh2x/cIlxpoFYCrlxQDihXgafQvgbfQaU9VNaHjI/K+EkY9zxIp7BpH9KZJJin5qDmLJfD5HLQ2Yk+0I27oZtcVx/pPUVausr096bpLmXZ5/n0BC4NXop8zudXPRm2teQ5Mufy27617Cg0ssdpp0/vohT3UI3yhFFp/NlvKT1Zvsx0+ngvzFCEWEkqyiWshe4sUa24Y/7FWLoor8pSktmyYczAb56m+NRuml98NJnNa2VVzAXkOqN/1yPDd1hawStXXn/99XznO9/h8ccfJ5PJ8NKXvpS//du/Zdu2bYs9NAa7fKytBTs7/AKp2pl+Q39OZGSVycjbc9A2a9WIv4/ex1jAKmI7/GVhsoi8RSsLyiaNUZRFa4NWFse1uF6Ik6ripMHJKFRaoVIuKu2iMi4q5UE2hcqkIJNJZscbsthsNvl5tjIZzGGboXMtav0B3A0HyHX1k95doGVvhbaeLPtLWfZVPbpdh5STZXc1TbGnyBkdedZnMjwxsJld1Ra6vN3kdRcl3UsQ5cfOfg+dfCmz38vPeB80x9tHiFVgro6DrutSVS6NtdC9ULK4tODzIlpXdSnJbEWFCj0/f4jU2haaTztGFuNZREPhe1//Cg7eP/3pT7n88ss544wziKKID33oQ7zmNa/h0UcfpaGhYVHHtqc/+Z9/stXgx98++hZ2zBYwQ0Gb4cA93uMk56ApTO0+hgK6UsPnqevavShlcRRoZfF1jO8YfDfGd2J8L8L1Y1w/wk0ZdAZ0WqOzGpX1UQ0eKptCNaQh14BtyCZ/NjbNbPGeIakUdtMm7NpOVOc+3HUHaNjdS3p3kaY9ZVr6cjSXMzS4Hg2ups9r5MlymmpU5LwNBX7f38JTA1l26Ra6/Z0U9f767HdsKmN7f0v4XlZsbLFTLJCTzIjL7I9Y+ebqOOi6LikbkVULF7oB/oiNnM1a2iY4uVJMT3V/P/vvuI+GIzfQ9KKt0gFlkfiepjk78w4nyyZ433HHHaN+/upXv8ratWt54IEHeMUrXrFIowKUYleptoDOVLuOuenwLeoz2SOur3cfHLHPRI9havvFViWLY464btT/FkMNUrBoBa6yeNqS0rU/lUmCuBOT0jG+a0h5EalUhJeq4GZKOA2gcw4656NyPjQ3oBoboKkR25TDNrXMvI2h7yUBvL0d3b4Pd+0Bmtf0ktk5QFNXhZbBBva6afa5LlnXo89v5oF8ioagyH/Jwm97N7Kj3Mger4kBvYey6iWIdBK+rU7aDh5UeiLhexkwyIy3EDVzdRyMooi0XdjQDeDWVqcUc8CSnIC5cx/NJ20lt20TSh9amzsxcweXoUzrNvMwjgUxMDAAQFtb24T7VKtVqtVq/efBwcF5Gcvu0vD/7JNlgLHBe/TPB89mH1zybQ8K4iNvbhkqN6lllSnCiFYKDWitcBT4GrzkPEx8bfFrYdzXlrRjSDuGlBORdmLSXkjaj0hlqniNZdzGQXSzh25Oo5obUM05bOcabHPLzDumZDKYLVtQLc2oln2k2g/QvmuAhp19NB1ooKmYpavik3U0GTdDf9bn4e4ip64p0Z5v5omBNM/rHD3+85SUW+t8Uhr+XY7oeiI9v5e+kQu9TriP9PEWq9Rsj4NRtPChW8wPG8b0P/gkhWdeoO2lJ0j5yTKwLIO3MYYrr7ySs88+mxNPPHHC/a6//no+9rGPzft49paHj/zTbW020XkR1ia9TIc3JH8MB8fh68briFLvSDjBfR88BgdwlMLRClcpXA2eVrhakaqF8bQzFMZ90o4l4xjSOqbBjcj0RDSkQtKZgHTjIG5LPgnhPQOo1kZoaca0tEBT4/R+MUNjbWnFNrWgWppxWrrItvbi7yrQ+EKV5r4cTeUMuYpLxnFIdTbyXClFKs7z0hQ09m7mmTDLfj9DXu+jHPYSxTpZdIeqdD1ZRmyUXCYlwVusQodyHHzHO94x38MTCywaKHLgh/fTdMpRNG47TJagX8KWZfC+/PLLefjhh/nFL34x6X5XX301V111Vf3nwcFBNm/ePMej0XRVSxNea8YJdENnbo9ch3Io+I3cf2QYNCPShVUWVStN0aMLSer72QlO6Bx5nwqFsgqNxkHjkjSEd5XG0xpfKVxHkdIKTyt8R+ErSLsOae2RdgwZx9DgGnL5iIbekNy+kGxDlWzPfpzWfnR7N7q9GdqasS3N2Kam6bcq1Aq7fj22sRHdsh+vdR/Nrf2kn+8jt69KYyFHg+uTcTS9boo+32HXvgKvXl8k172Gp4oZdntptHIph72EcYnY6KTridR9Lw/TOblSgrdYhQ7lOPjxj398vocnFoE1loEHn6La1UPbWSdK7+8latkF7yuuuILvf//7/OxnP2PTpk2T7ptKpUjNRQu8Kex39qLGOblrqiB38G1G7m9tPO72ETce9z6mY+j+FMkiP0o5KBSOdXFwcfFwYw/Xunihi6s0vnKS8K01nlakXEXa0aS0JuNA1vXIuSlylZhcIaIjXyKXq5JpHcBty6Pbe1HtOVRrUxLA21qn3xWl1oJQNTWim7vItHSz7rk8DbtDcn05sk6GtOPia5fUxibu73E4qaNIk99Ipv9onncy9OldFMNugkgTkaxDJOF76bN26m+R5BUTq81SPA6KpaOyp5d9//4r2l9+MqmO5sUejjjIsgne1lre/e538y//8i/cfffdHHHEEYs9pLp8vA+YPEiPZ8qwPqJ41U4wradGznirmZ9Yoeqz704yE680Di6O8tDKxVUpXJvCsx5u7OJHHp5y8YIkdKccTdpRZBxF2nHIug4512Mg9GguhbQMVmk8UCXTVMBvL+K09aPaG1Adzdj2Vmx7+7QDuF2zBpvLoRtzuLkumpt68Xf0kzkQkXWyZB2flNa4HTmeLfo0RHm2e4qG3iN4xmQ44HkU0FTRREMtB+WkyyXNxtMoNZmbVa6FWPKW8nFQLC1xqcqBO39N86lHkztms/T9XkKWTfC+/PLL+eY3v8n/+3//j8bGRrq6ugBobm4mcyj9pOdANRqo/10dVPoxUWCuMw5RYLHGS+q3ayFQKVBOjHZNkqetGX8lnoPC9kzeXAePVaFRSqNQaO2iVDL7rZSLo/wkkGsP1/r4pPBin1Tkk1JOMtvsKDKOpsFV5COPRtelqerTUsrQPFilqbdKQ2NAqq2CsyaPXtuP6ujDdrRj16yZ3omYmQzmyCNQmTQ6myabTWa/M3sDMgONpJwUvuPg6RTdnqZnX4FXrjdkDmzgqWqKPb5HQXdRDiA2mtiUk1+phO+lSZaMF6JuKR8HD4VyNE4ug5Pxa7XJGmsMxDEmiolLVUw1XOxhLjvWWPp//STV/X20bT8ePdNmB2JeLJvg/YUvfAGAV77ylaO233LLLbzlLW+Z0X098sgjc/bpTylNW+4k1DizzXaKxGCtwsSW2Fax1oy7v6NTKG1wXad+YqVVBtfVOI7C9TSO6+C6Gs9zaxeHmTc3HH4+SilUrFHaIcRFK6cexHXtZ1f5yWy4TmbE0yZNKvbxlUvGcSlGDg2eotFz6fMcGgOPlkqapkJIS3+Fxu4K6QO9OJ1F9No8qn8Au6Yd29o6rRpwu349pNKobJpUwz7aGgbxd/WR7m0irTOkdDJr37++iQd7NKd0lEn3dZAq+ux0PRQO5bAXQML3EjatUhN5mcQqMZfHwdTaFjLp4QgQRBYbGNa//GzaGqcXDcpxmYHyY6O2bcgcR8aZ/ocAE4Qo153yZEAThMTlAEgmqEwUY6oBphISVwNMJSCuBMSlKnGpQlQsy/kfNeWdB9jXex/tLz8JX7qeLLplE7ztHB5doyhkrhbcUCh68zvn4J5GdkaptbubIswn1+tRPyulcRyHbDZNQ0OKXGOGTGayIHvQojd2aNZco4wGFEpptHJQ2kGh0SqZ+R6aEXeUT1mlcbSHb7Ok4zTlOEtD6JJ3HQY8RaPn0O86NIYuLYFPazlNa75CY1+FdE83Tn8R1TeIWtOPbWvFtrVNuSCPbWvFplLoTBo320VTQy/+8/2k90WknAZc7eNqB93RyJN5l82mSMZtxhnYxk7PQymdhO+IescTCd9Li40VNprivWrkK1SxOszlcXCpmO4srPa9Gc3YmjAiODBAZX8f1b09BL352Q5xRYgKZfb/6AE6XnEy6XXtiz2cVW3ZBO+lymKJ4rl6Q8/24/lBJSORplKF3j4HpTS+79PamqO9vQXfG/GSK8V4BbLJv+26tosC62CUQhkXUGjtENVmxCPlJzPiykUrH0+lKKs0FZopRlmycZps5DIYanKuJuc6DPgO/aHDQODRXvFpLZTI9Zfweiu4fUXUmkHUYD6pAW9pnfypN2Qxhx+GqgXwTOYA61J5/BdiPJXDVyk8rXF0lgOOQ6MZ5MU6h9N/FM+5I35vUYHYgITvpcVaVV9cauJ9FmgwQohlQ3su6Q3tpDe0wylHERUrlHfvp/jMHsK+wmIPb1HYMKb7J7+l9awTaNiybrGHs2pJ8J4D1s5V7dmhfC82YhGfEUFEoaiUi+ytDLB37ws0NzfT0dFKU1PTFInFJKHTAipOVn8kRCmFNS7JjLhDrIL6bLjGJdIeWvtEqkLVyVGyDWTiDNkoTdHxyLuaQqTJew5532EwchgMfNrLFVryZbJ9ebz+MnqghMoXoKOY1H9Pdla+42A3boB0CpXySKf2syaVx90Z4/U34agUrtI4KkWf04K/f4AXt2bRfVt5znXoRVOCCcO3WDx2ujXeMukthJiE25Cmcdth5I7ZTNCXp/jUbkrPdWGj1VWPYo2l95cPY6oBjdsOW+zhrEoSvOeCXQptFcYfgx2qZa+Nsb+/l/7+XlKpFOvWraW9vbbi2Tir69S3WM3IIG5VDNRqwXExNilLUcohNkkINzogtFUCVaCqc5RthpJpIFtNU4o8CpGmGGmKflIPno9c2qo+7cUyTQNlMgN9uANl1GARVSxj13QkLQgnYdvbwXVRnovn76fN7cfd2Y/f24irMzjKwVEevetbsF2DvLgNdO+W+rtgOHzHw78SZVBWVrdcLMYoTDzFjLdRYyqmhBBiPEopUm1NpLYfT8uLj6bw9AvkH3kOE6yu1Tz7f/0kJghpOvFI6XiywCR4z4ElHcpq5RLDklBZrZZ5/vnn2bdvH5s2bqTp4JUlRwXxWhCth3hdK8BQtX7jekRJioMyDtaxxCYk0l4tgKeoqAJllaNkGihXM1Qil3LkUPIVhcilEGkKkUt76NNWLtE4WMEvBDilKqpYglJxyvaDtrkZ6zho18V1FU1eP9oZQHeDq5LFdJTy6FnXRLlrkBe1AbXwXe9AE4084bJWby8lJ4vDqCRYTyIJ3vLaCCFmRvseTcdvoeHIDQw+soPik7uxZvX8WzL4+x2YakTLacdI+F5AErxXgfEC49DClpVymaeffpqmpiY2bNwwYUsqBcNhXNXW17S1OvBaCIekJEUpF2KLUSGx9YhNSOykCFWVSFep6jJV20g1aqAS+5Rjl3LsUI41xdinFGlKoUtHtUxLuUSmNIBbDFHlKqpcSbqfTFb7ncthNm1Ea43rujR6PWzS/ejuZjQZkv/tk/Bd2ZeEb9O7BeMOzXQnYTs2ZbAmmeGXeu9FMZ2uJkIIcSictE/radvIbTuMwd89Q+n5rlWzMlfhiV1goeV0Cd8LRYL3KnVwgBwYHGBgcID29nY2bNiAd1BLv5F7q3oSiodLUkaFcIMhRuFi47gWwEMcVSV2KkSqQqiTS9XmqAZZqrFPNXIox4pq7FIxmnLsUIlc2iolcuUSfilAl5LwTbWKbWufuPVgJpOEb0fjOJoG1c0mZwCNBbJoVQvfnU2UugZ5USuYviOxbtLWsUwSwGMVJclPTrZcFEmpyeQLQxmjWDVHSSHEvPFyGdrPPpHG4w9n8HfPUH6he7GHtCAKT+4CJHwvFAneYpSenh56e3vp6Ohg7dq14y41PBRxDp4Fr19XC+HWWpSK6gHc6ghDRKxCXEJiFRCqCoFqIoxzhCZF1bgExqESayrGS/6MHDrCMk2lCulSP24lRFVDVCXAtLdBLjf+k0mlMBs2orWDoxRZp5sNDJJ8VGjAWBdrXbrXNVLdO8gprVls71aMG2OJsdZgbIR0Olk805rxlpdCCDGH/NZGOl55CtXuAfIP71gVAbzw5C6Uo2g59ZjFHsqKN/M1xsWKZ63lwIEDPPLIIzz77LMEQTD+fozIPEMJyVqgthiQjbE2xpgQY0NiExBFFaK4TBDlqcYDlEw/BXrod3roJU9fENBbieiuWPZVFHsrLi+U07yQz3HgQI7CTkW4I4/dsR927UW/sBfV2zfxk/E9zPp12MM3oLeuIXuUw/rOPIfnSmzORKzNKNpSHmpdE5HncWJLA4eZo2h2N5P2mnF0GqVclHIAXWvByEF182K+DLUTnPQyi9fihRde4M1vfjPt7e1kMhlOOukkfv3rX494XMtHP/pR1q9fTyaT4dxzz+Wpp54adR+9vb1ccsklNDU10dLSwlvf+lYKhdXZpkyIlSjV0UzHK0+h87UvIdU5RWvbFSD/2E4GH31usYex4smMt5hUf38/AwMDbNiwgc7OznH3GTUDDvXSjKHZ76HyE3BAucTGYmyclKTYuDYLHhDriMhGBFEDoUkTGIcg1gTGoWoUVaOpxg4dQZFctYIf9KCrASoMIQqTEy/HW3TH85KVLkk+aWbtfjYwiEFhyGCti8Wjp7MRt2uQE5oaiQe3EnshQVyEyAzXe6OlzeACMrEinqKriZlhN7C+vj7OPvtsXvWqV/Hv//7vrFmzhqeeeorW1uED66c//WluvPFGbr31Vo444gg+8pGPcN555/Hoo4+STqcBuOSSS9i7dy933nknYRhy2WWX8fa3v51vfvObM36eQoily2/Nsea/nErhqV0M/OZpbLxyWxAO/OZptO+SO2rTYg9lxZLgLaZkreWFF16gt7eXww47jIaGhvH3q/059kRMXWvJF9fKTywKg40MViclHdaJsDYi1lUiHRDZRqIgQ2w8QuMQGk1oPUKjiWJFR1ymKSiTCvpxwhgVRRBGSc/v8VY3cxzs+vUoY9HGkuUAG+KBZOlhm8XiYK3PgbU5mg4McmzcTFjaSsnrScZnDbEyKBuNeJ5ScjLfks45Uy2gM7MZ77/9279l8+bN3HLLLfVtRxxxxIj7s9xwww18+MMf5g1veAMAX/va1+js7OS73/0uF198MY899hh33HEH999/P6effjoAN910E6997Wv5zGc+w4YNG2Y0JiHE0qa0onHbYaQ3rqH//ieo7Fm55Sd99z2OTvlkN69d7KGsSFJqIqatXC7zxBNPsGvXrkmXLh5TgoKp10wn5SdBcqFWfmLKBHGRwBSpmAIl+sjrfvoo0BcG9FWT0pP9FcW+isvecpqufAO9+xoo74To+Tzs6kZ17UPt3wfBBAsaOQ5m/TrYvB59RAcNWxXrOwbZ3FBmfdqwJq1oa0jR29bApiaHo1PtNDkbkpITJ43WKVAuCkdKThbIdEpNsApjDIODg6Mu1Wp13Pv813/9V04//XQuvPBC1q5dy4tf/GK+8pWv1K/fsWMHXV1dnHvuufVtzc3NbN++nXvvvReAe++9l5aWlnroBjj33HPRWvOrX/1qnn4bQswN15U5t9nychk6Xvki2s4+EeWt0AUELPT+8mEq+ycp4xSzJu8+MWMHDhygUChw5JFHjnvy5ZD6goLW1oLq+LPf1histVhrR5SeRPXSkyjKEdkUxrrEVhFZl8gqIqOJrKYtLpKNCzjGDp3jOfFql56HWbcObWKc2NAQd7MxzhMbTWTTRGgik+GZMOI0bXjuhSOI3CrGRJRrM98WI51OFkhSajJ1V5Ndu3bR3Nw8avs111zDtddeO2b/Z599li984QtcddVVfOhDH+L+++/nPe95D77vc+mll9LV1QUwprSqs7Ozfl1XVxdr146eDXJdl7a2tvo+QixVrutSqhqy6cUeyfKklKJhyzr8jiZ6f/kwQffgYg9pztnY0PPT37H2j87Ey2UXezhLVhTP/NgvwVvMSrlc5rHHHmPTpk10dHRMuN+o8A3j1H4DxBiSNzq1cIuTBFyjIow2mLgRa9PEOBiria1DbBWxTWZFjSmSs0Wc2ql2ylhM59rxw7fvYdavRxuLG8U0Rn1sjAaJrCayKSLjYFoa+V3FsK2hmXJpC5FXJbZRUnJiYqn3XiDT6Wpigc2bN/PQQw+N2j7Rh0JjDKeffjqf/OQnAXjxi1/Mww8/zBe/+EUuvfTSuRi2EEtaFEUUq5ZUKaYxu0JnbReAl8uy9g9OZ+ChZ8k/8tyK67BkgojeXzzMmj84He1IgcTBgtAwUJp5vb8EbzFrxhh27tzJwMAAW7ZswRnvxEZGhG8YZ/Y7rkXloH7ipcXUL6ikDhxtsMZigjTWurXwrYmtj7GK2CiwRRpsERdQxqABs6Zj/JUuUynM+nXoOMaNDM1hHxvjPGGsiEwtfHc2cVSjJf/MGipRidAtEZtqUosu9d4LwqAwU9Z4g9aapqamad3n+vXrOf7440dtO+644/jnf/5nANatWwfAvn37WF87KXfo51NOOaW+z/79+0fdRxRF9Pb21m8vxFIVRRENKcVgOQkNEr5nT2lNy4uOIr2+nd5fPERcHr8L2HIV9Awy8NunaD1t22IPZUkJQkN3PmY2n0ckeItDNjAwwOOPP87WrVvrHR8ONp0TL5P9LEMrt1sMVhsMFjTJzLdpwgYZYutirINFY/Ew9WhfpIEirknivLYWs3bN+OE7k0nCdxThRTGt1UGiSBNaTWA8IuvyWNTIaZ0R+d0bqLolYlvF2CiZjTdIyck8M0YTmylKTezM/uU7++yzeeKJJ0Zte/LJJzn88MOB5ETLdevWcdddd9WD9uDgIL/61a/4i7/4CwDOOuss+vv7eeCBBzjttNMA+PGPf4wxhu3bt89oPEIshmxKk/KGw3fKlxnNQ5Fe28raPzyTnp8/RNA9sNjDmVOFx3eRWtNC9rDxO5utdAeXkwyFbs9RZGbxvpHgLeZEtVrl8ccfZ/PmzbS3t0+439jZ74PDd9J4cKjue0gFMDoJ4NZa4jCTdCTBwVqNtSM7mRRpoJTMfANaqYnLTnI57Ib1qDDCDyI6wiKhcaiaHKF1GahqeltaOK5gKPUdTtUtjKr3TnqWIyUn86R+AuWk+8zsPt/3vvfx0pe+lE9+8pO86U1v4r777uPLX/4yX/7yl4GkfvPKK6/k4x//OEcffXS9neCGDRs4//zzgWSG/A//8A9529vexhe/+EXCMOSKK67g4osvlo4mYtkYmukeLBuyscVx5GTxQ+Fm06w59zQGf/c0+cd2LvZw5lTvfz6K15LDaxq/q9lKFsaWYjnGb3RHhe72JodKNZ7x/UnwFnPGGMPzzz/P4OAghx9+OFqP/0lwzOz3yLpvBdZGyf0BtYnwWsglCd6qdjJmlK1NjjuAQikXqM1sq0ISvrVCaY1yHOzaNeMuMW+bm2FjhApD/GAfa6oFqpFDJW6gO+VywFraNzRxdGAplLYQeiWioZKTkfXexDLrPccM9S9AJjTT3/YZZ5zBv/zLv3D11Vdz3XXXccQRR3DDDTdwySWX1Pf5wAc+QLFY5O1vfzv9/f287GUv44477hj1jc5tt93GFVdcwatf/Wq01lxwwQXceOONMxyNEItrKHz3F+NZzd6J0bSjaTn1GFKdrfTe8wgmiBZ7SHPChjE9P/s9a887E71Su7lMwHMUhUqyknU1svXQrdXsPqhK8BZzrq+vj3K5zJFHHjlh6QlM0PXEMiq61sO3k/xpqdV7a4sxBqKh5eJrK0viokknvcJVkQZdwtU6afvkudi14/clte3tEIXoICJT2c+6ap5K7LCvmiWIXfYZw4s3pxl4poNSvJnQKyclJyP7eyefGiR8zyFj1JyXmgC8/vWv5/Wvf/2E1yuluO6667juuusm3KetrU0WyxErQmPWoRwYYvnWbs5kNq6plZ78nrBvZaxoGw4U6X/gCdpecvzUO68grqNIeYpKmLw/DiV0gwRvMU8qlUq97ruxsXHC/SZuORiPCd9W29ptLFaZJGcbIMqhAY2DUhqFVysxAaUKZJ0irqdRrguuh20bf+lfu6YTVQ1xKiG5cjfrqwU6S2kqsaZqXJ4yOV7UGTLwwiYqToHYTeq9h2q+R9Z7i7kxvQV0FmgwQqxQQWgIIovnSqnJXPIas6x9zRn03vMw5V0HFns4c6L4zB7S69vIHr56TiI3BoLIomphu1g2h3RCsgRvMW+MMTz11FNs2bKFtra2Cfcbv+XgOOHbQEjtBEyntlGDNhoVZWt34qDQaOWhlEUri3aLZLw8jueiPA/rutA0zocBrZIe39UqbjWgpTjAhoEqZZOmGjvsN5ZCSzPHDBoGBw8jcAtEJsAYKTmZL8Yml8nIb1mI2RuqWXUdRdqTUpO5pl2H9pedRP+DT1F4YtdiD2dO9N73OH5HM27DOE0LVqAgMriOYm2LS7FsDrkbkARvMe+ee+454jhmzZo1E+4z8UmXQ+F7RK/vIQ4oq1FKoaxCh6BRaKVrFw9Xg9Mbo90SaX8QnfLQKQ+T8ifp8b0OXQ3wiyEbXihQih3KkU81duixlmM3Zeh5poV8uJGqWxjbYlBKTubMUNvIqfYRQszcyBPFmrKaaij/Xs0HpTUtpx2Dk/IY+P2ziz2cQ2aDiP4HnqTjFS9a7KEsCKUUrQ0ardSoE5IBaScolq5du3ZhjBmzGuBI4590OU6v7xEnEVdRoHVyI0syJY6PRqNxcBQ4KovXa9B+hZTfj/JclOti16+H8XqP53LY9Z2ocpWWZ3eyMfAoRppy7FI1Ds/ZBk5qr9Czdz0lZ4DILRObQEpO5sF0FtCRzzZCzFwUW/pLw90ZohjkzTR/lFI0nXQkuA4DDz612MM5ZOVdB6js7SG9fuIuZiuF76p6mQmM7gaUcmXlSrGEvfDCC1SrVTZv3jzqf+KDja77HtvrG6UxJiQiWbgGAE1S320UKlQo5YHSaOXgKh+3kMXZn4RvL9WH8lzw/clPtqxUSR2+nzXFAsXApRQ1UI411ciQXdPI1rylr7CRsttHGJcP6nJSG6rMeh8SY6deQGfm64YJsboppRgoGdK+M+JEMfl3aiE0HXc4bkOa3nseGf0N7jLU98CTrHvtdtQEHcxWivHiylD47i3MvGuNBG+xoLq7u6lWqxx55JETrnQJU4XvoF7zHSkFMSgcamdYggEVKrTycJTC1S6uSuFrg7s/Jpcq4ab6UCkffA/bMsHJlmvXoA9rJ53fS2exQCH0KMYpqrHLTms5tVOzv9xG3mwkcIvDs94qklnvOWJRIxZHmngfIcT0pVIpHH3o3RnE7GQP68RpSNPz098t65Uuo4EihSd303jsYYs9lEXRmHWohjPv472yP6aIJSmfz/PEE08QBJP/g1OPrNaSdDtJ6g6sjbE2wNiQOA6IbJUwLhCYIiUGKOhB8qbCYBAxEFj6qtAduByopOkbaKDSpYi7CrC/D9XTB9Xq+APwPNjQiXtYC80bAtbnSnSmIlp8aPAcehqbOarZZa1ZR9Ztx3UyaOWjlDs8Ew+j/i5mJrYQGzXpxZjl9/t98MEHufrqq+nr6wPgwx/+8CKPSKwmxhiaslpC9yJKtTez9jVn4DYv7wVpBh96lriyfD88HKpsauYxWoK3WBSVSmXewneFQQq6QMFUGQxjBkLoDxTdVZeecpr+vjTBnhjTNQD7e1DdPRM+vulcC5vW4B2Wpb29yPpMhTUpS4un6XM8XrzBZXOqkRY2kHabcbRfK3NxqdW/zNWvbFWyqGlclp+3v/3t5HI5/viP/5iBgQF+/OMfL/aQxCoSBIGE7iXAzWVY+wen47Xmpt55iTJBxODvn1nsYSwrUmoiFk0Yhjz55JMcc8wx+L4/4X4Tl51YhrqdDC2yo4wmQKG0g9YaHWlcpXCVg6s1vvbwdBa/N8bJVPGyA6hsGjKZ8ft7p1LYzk7UQIF0/17WFor0hz6DkU8h0jxmWjiquYd9B9aSd/ZTdfPEJsCqEKyS9oKHyK7QdoLpdJr/+T//J695zWt461vfipWSJCFWJSflsea/nMqBux4g7C8u9nBmpfD0C+SO2YzXsnw/QCwkmfEWiyoIAp544gkqlcqk+40/8x1jbYS1McaGyQmXpkpoy1RtgbLKU1BF8lHIYGDoD6AncOiu+vQWspQOuMR7S7C/H9XTM2HJiW1rTUpONjXT1FmlM12mwzc0+4rA0WzdkOLwbIZWNpB2W3CdNFqlarPeyKz3IYhr7QQnuyzHdoKZTNL/9owzzuCP/uiPeOCBBxZ5REKIxeKkfda8+jT8jubFHsrsWOj/zfLv1LJQlt0R6+abb2bLli2k02m2b9/Offfdt9hDEocoDEOeeOIJisXJP+1PGb5NRGyqhHGZyJQJTIGyLlCgzGAYMhBY+kPoDR26qyn6BrNU9ilM1yDs75265GR9G/4Gn46WEmtSAa0+NLiax3Qjx7Vq1tsOcnoNvtOArpWcJPXdydtMar1nbmgBnckuy3Gy+OMf/zhRlJwN/9a3vpVvf/vbizwisZwsleNgxslwau7UUZeMszoWVZlrSfg+lfTGjsUeyqxU9vRQ2TPxMVQMm3HwvvTSS/nZz342H2OZ0re+9S2uuuoqrrnmGh588EFe9KIXcd5557F///5FGY+YO3Ec89RTT80ufGOwNqrNekcYExLGZaq2SMUOUlR5CrZKPowYqFp6q8P13oN9acJ9EXb/AKq7BzUwMP4Dp1LYdWvRm1rIrQ/pbCjTkYpp8hVoRUNHjsNyadrs+hGz3q7Meh+ylVnjvX37dlx3uNLv/PPPX7zBiFlZrGOhHAdXLu06tL/8ZDKbJ15sbinr/+1T2KlqA8XMa7wHBgY499xzOfzww7nsssu49NJL2bhx43yMbYzPfvazvO1tb+Oyyy4D4Itf/CL/9m//xj/8wz/wwQ9+cEHGIObP0BLzRx11FLncdGvFDFiVtO4jWWgnNirp4R1XCHDR2kFrFzd2cEOF57ikHE3a8UiX0qS7Q5xcGbepH9WYw+Zy4y6sYzvWoNYN4HYXaDtQZE05Q3/gkA8ddpg0J7UX2FNso1+vpeoMEsUVjI1IPhiA1HrPXGQU0RRdS6bq873UzDasbdmyhcMOW51tu5aixToWynFwZdOOpv1lJ9Hzy4cp71xeH6bCvgKl57toOGL9Yg9lSZtx8P7ud7/LgQMH+PrXv86tt97KNddcw7nnnstb3/pW3vCGN+B53nyMkyAIeOCBB7j66qvr27TWnHvuudx7773z8phi4Q2F76OPPnrC8D36ZMskyI5eYAeM0URK1U+21NqlqLwkfAcKXzuktUPGSZHJR6T259GNBXSuNwnf4y1vrxW2swPV20923146B4r0Vl36ApdCqCg3N3N4rp+u/DoKzn4Cp4gxAbENSZqNq+VZF7GILFOfPLncfqOXXnrpjG+jlOLKK6/kPe95zzyMSMzGYhwL5Ti4OiitaT/7RHpYfuF78PfPkDlsLXqSdTpWu1l1NVmzZg1XXXUVV111FQ8++CC33HILf/qnf0oul+PNb34z73rXuzj66KPndKDd3d3EcTxmyfHOzk4ef/zxcW9TrVapjjhhbnBwcE7HJOaHtXaG4Xvs6pYGXVtYRycrWlo3mfU2Ll6kSQWatFakHYcGJ01Df4i3v4zfMohq6cM2NUEqNfZxW1pRnR04Gwdp2V9iTTlDT+gyGDrsjT1OXqPZWWyhl4NmvW0kHU5mwTL1jLZdZjPeO3bsWOwhiDmy0MdCOQ6uHvXwbR+ivOvAYg9n2qJChdKOLnJHLUwlxHJ0SCdX7t27lzvvvJM777wTx3F47Wtfy0MPPcTxxx/P5z73ubka46xdf/31NDc31y+bN29e7CGJabLW8vTTT09a8z1xj++hPt8xsakSxUmnk8AWk3pvUyUf1fp7h5qewKW3mKHU7RDvK8CBPlRv74SPa9auQa1rIb0eOrIlOvyIZg9SjiJozLGpwafFrCXlNOFoX2q9D0Fs1ZSX5b3oslgJlvKxUI6Dy5fSmrazTyKzaXnVfOcf3yktUicx4+AdhiH//M//zOtf/3oOP/xwbr/9dq688kr27NnDrbfeyo9+9CO+/e1vc911183pQDs6OnAch3379o3avm/fPtatWzfuba6++moGBgbql127ds3pmMT8Gio7KZfLU+88XqcTIoyJiW1IHFcITJkqRcq6RDEKyYcx/QH0hS59gc/gYIbwgMEeGExWtCyWxn+sXA7WrcHd0EBre5k1qYC2lKXRc9jjpNnWolinWsnqdnynIVnJUmlZzXIWkld16sty8+1vf3vU4lG7d+/GmOFnUiqV+PSnP70YQxPTtBjHQjkOrj7a0bS97CRS69oWeyjTFg0UqeyVDicTmXHwXr9+PW9729s4/PDDue+++/j1r3/NO9/5Tpqamur7vOpVr6KlpWUux4nv+5x22mncdddd9W3GGO666y7OOuuscW+TSqVoamoadRHLy1D4nmiFy1E1wAeFb2NCLCFxXCU0FcK4QNkMkKeXAT1IXxDQWzEcqMCeiseeQgO9e7OEz5Xg+X3o3S9MPK7Nm+GoDWSO9tjcPsDmTEBnBlKeppBp4PiWFOvNFrLeGnw3V+/rrXBk1nsGVmo7wT/5kz+hv7+//vPxxx/Pc889V/85n8+PquMVS89iHAvlOLg6aUfT8fKT8NsaF3so05Z/fOdiD2HJmnGN9+c+9zkuvPBC0un0hPu0tLTMSx3jVVddxaWXXsrpp5/OmWeeyQ033ECxWKyf3S1WpiiKprXC5TADOAy1GUTpZHEdpdDWpWodHO3hKZ905JIKFBlHkXNcmsppGnqqOAeKOG39EIYw3klSWmE72tFru2no6KF9oEpL1aPf1ezLpDi+aZCnB3Pst+2UnR7CuISxUTIeqfWetqFyksmYZfjtwcFfw8rXssvPYh0L5Ti4Omnfo/1VL6b7rgcJ+wuLPZwpVff2EvYXZDXLccw4eP/pn/7pfIxjWi666CIOHDjARz/6Ubq6ujjllFO44447xpxoIlaeoRUut23bNm74nrjTSbKsvKUWvqmilEtgi5RVmoLxSEWaQugw4Dr0BT5Ng2nS3UWc9jyqrw+7du24Y7JtbajONrzOAVr3lWgtZ+j2NH2+S38qy8ZshZ35DvJOF1WdTzqcKBdsKB1Opi3p1S3EUrNYx0I5Dq5ebm2Rne6f/IagN7/Yw5lS/omdtG0/frGHseQsu5Urr7jiCp5//nmq1Sq/+tWv2L59+2IPSSyQMAx56qmn6iv+HWyyxXXGq/euUKCkyrV6b1s72dKhv5Ki3OsS95RQfQPJrPd4HAfb3ope20hDS0C7X6XZtzR4mt1ehqOaYA3NpHUTrpORWu9ZmE6piazXIFYbOQ6uXk7ap/1VL8bNTfxNy1JR2tFFXBm/THQ1m1U7QSEWS7Va5ZlnnuGYY45BTVkrPby4TlJyMtzfW1uX0JapqCIlk6YYueRDl4HQoT/0aSmkyHQXcfoGUP394/f1pjbr3dGIv3aAlv0VWsppGl2XwbRHS4NmbTrFrmoHBecAgc4TGweUrrdBlFnvyU2r1GSZtRMc8sMf/pDm5mZguE734YcfBhhV/y2EECO5aZ+OV72Y/T+8HxOMPxG1FNjYUNq5j8ZjpJPOSBK8xbJTLBZ57rnnOOKII8ZcN3nJicWSnHQZq5BAlXBVOulyEntkIod8qJLwXU2R66uQ6smj2gew7R2gxwl4qRS0t+Ks7aG5uUxrIaLRc2nwNDt1A+uzeVrLbfTqHK5OE6vK8II6YkpJH++p91mODl5I5x3veMeon6f+YCmEWK28pgbaX34yB37ymyX9tV/p2b0SvA+y7EpNhADo6+tj79694143nZKTyFSJTZXAlqioEhUbUo5iihHkQ4eBwKdQSGF6S9CfRw32TzgW09aO6mgi3WFoTVdo9gwZV1FOpzmuKabDaSCrW/GcDFr7Um4yA9NpJbh0DzkTM8ZMeYlj+XAmhJhYel0brWccu9jDmFTQM7gsTgZdSBK8xbK1d+9e9u+fznK6ZjiE2whL0uc7NiGRrSQnWuoS5TiiGFryEQyGDoVqiqg3gv4CamCSE1maGqGjBWeNT3O2QosXk3NBu5pqOkNn1qPRtuHqDFq5KOUl5SZoaS04hWktoLNMS02EEOJQ5Y7aSPMpWxd7GJMqPrtnsYewpEipiVjWdu/ejdaajo6OUdun6nJiTEysQmJTJVRVqqpMyWYpRS7F0CXvafqrPkGfxu0tovsHoKMEDdlxx2FbW9AdORpae2nuD8h5HllPs0Nl2ZgNaM230O00U9a9RHEtdEu5yZTsNE6eXG5l8kccccSsykiuvPJK3vOe98zDiMRqI2VMK0vTCUdgIkP+4blv4zwXijv20vSio9COzPWCBG+xAuzcuRPP8+onqg0ZHb4NFk2ywHg8qtY70hUCVaaiKpRjn0LkkI8UA5FDqeCR7gnQ/QVUYRA7UfBuaUW15fDa+2nZW6W5nCbrOgxkPDobFG1umrRtwnMyBFEBpTRYVS+TkJ7e4xu1QNIk+ywnX/3qV2d1uy1btszpOMTqlUqliOLl9s4Rk2k++UjiUoXSs+OXYC4mUwmpvHCA7GErr+WlmcXMjwRvsSI8++yzbNu2jWx2/GBcZ5MTLId6e8c2mfUOVImKKlI2mWTWO3LIRw6DpTSN/VWc/iKqP49d0zn+SZa+B60tOO0HaMxVaSrENLgOvqM54DawNlMgV2yhX2dwtE9sKsPdTWTme0KxZRoL6Cwv55xzzmIPQaxyxhgGSoa0b/A9mYVcCZRStG0/jrhUodrVt9jDGaP0/L4VF7yNtQyWZn4EknecWBGstTzzzDNjenyPv5y8HXGiZThc602ZsqpQjmOKoaUYKQqhRyXvYfoqMFhA5QcnHkNzE6o1S6YlpNkPaHAh7Sj6PZ8NWWg2zaR0Dq1dtHKpv/3ka98JDZWazOeS8Z/61KdQSnHllVfWt1UqFS6//HLa29vJ5XJccMEF7Nu3b9Ttdu7cyete9zqy2Sxr167l/e9//4Q95oVYSoIgwNHQnY8JwuX20VVMRGlN+9knLcke35W9PZgVdMK4sZaewZh4Fm8fCd5ixQjDcNzlmSfucmKxNllUx9gkfFdUibIJKUaGQgT50KNY8ogHYhgsQH7ikyxtYxO0NuK2aJr8gGY3JuMqbNqhNaNoddKkdTOeHn8xHTHWdLqaHEpsuP/++/nSl77EySefPGr7+973Pr73ve9x++2389Of/pQ9e/bwxje+sX59HMe87nWvIwgC7rnnHm699Va++tWv8tGPfvQQRiPEwmnKajxHSfheYZy0T/vLT0YtsXpqG8ZU9y29mfjpMAe9PYZCdxhbmrMz/z0vrVdGiEOUz+fp6uoas33MpKgdWkre1DuchLZKQImKqlKNLeUICpGmEKQIBxS2v4LKFyZeydL3oLkRpz2VlJvUuptkHE2Pn2VtxqXBtuA6GbR2AWfUzSWEj2XmsatJoVDgkksu4Stf+Qqtra317QMDA/z93/89n/3sZ/kv/+W/cNppp3HLLbdwzz338J//+Z8A/Md//AePPvoo3/jGNzjllFP4oz/6I/7mb/6Gm2++mSCQldrE0qeVor3JqYfvUML3iuG3NdFy+jGLPYwxyrum04Vs6QkiU39/jAzdHY0OrjPz448Eb7Hi7Nmzh2KxOP6VI2a9rY2xttbhxAbEtkJENTnJ0kSUI0sx1hRDj2rJxeSrMFhEFSfuSWobc6jWDOnGkEY3JOeCrxU9ns/mBkWLacbXOZxaP+96W0ExLkvykk12gaRmdXBwcNSlWq1Oet+XX345r3vd6zj33HNHbX/ggQcIw3DU9mOPPZbDDjuMe++9F4B7772Xk046ic7O4ZrF8847j8HBQR555JG5efJCzLOR4buvGI+Z2RPLV8PWjWSWWE116fl9mHD5lZsolbw/qqEZFbpne36EHPHFivTss89OXO89yogOJyYkMhUiVaVqQ6qxoRQpSpFDqexhBmMolKAwQagHbGMjNOXwWhRN6YCca2hwFU7KQWVTtDlZ0qoJR6ekznsapltqsmvXLpqbm0ddrr/++gnv9x//8R958MEHx92nq6sL3/dpaWkZtb2zs7P+bUpXV9eo0D10/dB1QiwXQ+Hb0VCNJHmvFEop2l5yHG5zw2IPpc6GMeVd+6becYnxXZWcEzEYE0SHFrpBupqIFSoMQ5555hmOOeaYsT1ra+0Fk3Z+I/p664CIkMAWqapGKiZNOXYoxppy4BHmwS1UUcUSNgzB88Y+cCYDTQ3oVo9cukqjF5NxNb7WvKB92tMuDeVWBnSGQPsoE4CNll1LvIVibNLZZDLWwubNm3nooYdGbU+lUuPuv2vXLt773vdy5513kk4vvZOQhBBiLmjPpeMVJ7PvjvuwS2SmufjsXhqO3LDYw1hUMuMtVqxisThmWXk76u8W7FBrwRhrYuK4ktR6qwoVE1OOoRxpSpFHUHKwg7Vyk1Jpwse1uRy6OU06F9HoRjTU6rydBo9NDZom04zvNNRWsRxdbiJ13qNN1dFk6KK1pqmpadRlouD9wAMPsH//fk499VRc18V1XX76059y44034rounZ2dBEFAf3//qNvt27ePdevWAbBu3boxXU6Gfh7aR4jlYGR3hpQrkWCl8ZoaaD3zuMUeRl11fx9xdYLzpJaoILLEBjqaHHz30E9IlneZWNG6urrGr/cer9a7doltSKAqtXITKJuk3KRS9mvlJuVJy01oyEBTFr/J0OgFNDiWjKvQjkKnPVp1lpTKSbnJNExV3z2bVoKvfvWreeihh/jtb39bv5x++ulccskl9b97nsddd91Vv80TTzzBzp07OeusswA466yzeOihh9i/f/hkoTvvvJOmpiaOP/74Q37eQiyEkSeKtTY4aEkEK1LDlnVktyyRCQGbtBZcTqxN3h8pT486IXm24VtKTcSKt2PHDo477jgcJ+kiMnpFy6E/4xGtBQMiWyFUIZXYUo4VxdihWPVoyZdxBsuoQhEbx+A4Yx7PZnOoxixOsyaXDsm5MRnXJeM49Ls+TZ5LKmrE1T5V9JhVLMWw2EI0xS9mpgvwNTY2cuKJJ47a1tDQQHt7e337W9/6Vq666ira2tpoamri3e9+N2eddRYveclLAHjNa17D8ccfz5/+6Z/y6U9/mq6uLj784Q9z+eWXTzjTLsRScnB3BpQiDqTGe6VqPWMbQfcAUaG82EOh8kI3DUvlg8A0+K7Gq9V0D50T0TMY052Pyc3in3v5fCtWvCAIeP7550dtG85qQ7PeFktUay0Y1Ga9A6qxoRxDMdKUQ5egqLGFAIql5DIe34NcA7opRSYTJMHbAU8rIt+lI+2QM824WtoKTsVO8zLXPve5z/H617+eCy64gFe84hWsW7eO73znO/XrHcfh+9//Po7jcNZZZ/HmN7+ZP/uzP+O6666bh9EIMfcGS+aQuzOI5UP7Hm1nnzj+yssLrLqvF3uoK58toIO/CRrZDWhgFitXyoy3WBX6+/vp6emhvb199BVDs961BXWMiTE6aS8YqgqBMVQih7LRFCOXStkjmw/QhRKqXMQ2NY77eDabQTWm8RvKNLgRWTdFxtXk0w6tacgNNODWSk2U0lhZPn5cQzXck5mLf7/vvvvuUT+n02luvvlmbr755glvc/jhh/ODH/zg0B9ciAXm+z6xgc4WCd2rSaqjmeYTj2Dg988u6jjickCUL+M1ZRd1HIdiKHx39c78mC3vOLFqvPDCC8QjlqwdOes9HHothoiIkJAKVRNTjS2VGMqxQ7nqExctlKqocmXiB8tmoSmD1wgNfkiDY/CTihJUyqdBpfBUFkenUIzo5S113qMYprGAjnxDIMSMaK1pzmoJ3atQ7vjDcZsWv8VgcKB/sYdwyLRSNMnKlUJMLIoiXnjhhXGvGy43MVgTY20tfNta8I6gHGvKkUtUVNhiCMUyBOOfnW2zWWjIoJscGlIhGceQciDjOFRcj2bPS06wVC5KyRdPE5lOR5Nl9I2lEEtCtVqd1Yp7YvnTjkPrmccu9jCodvcv9hDmhJ7FZJkEb7GqdHd3j+pyYmFEcjNJhxMMxkTENiAgTMpNDFRiTSVyCCsOthRAqYIqT1Dn7XnQkEU3pkhnAhqcmLQDrlKErkPG1aRsbcZbJSdYSm33WItV4y3ESrac6mvF3Et3tpLbtnlRxxD2T7wC9EonwVusOgefaJkYLjcxJmkraG1EqEJCYwkMVI2iEjlUqy6mGEO5ApWJzxC32Qwql8LPxmRHnmDpOazNKLJ2ZEvBsd1RRNJ5IZ7iYiR6CyHEjDS/6CjcXGbRHj/sL2CnOoFnhZLgLVadSqVCX1/fJHuMqPNWIYGNCWKbzHobTTVwh+u8i5O0ZspmIZfGzUHWDcnoWj9v36HVh6zN4KrhGe+RC+mIhJSaCCHE3NOeQ+MJWxbt8W1kiAoTL0S3kslRXqxKIxc+GSo3Ga/OOyYgtDGhsVTjJHhXIpe4XKvzLlegWh33MWwmCw1pdE6T8UMyrsHVYADju+S0j68yY0+wRFoKDpFSEyGEmB/ZI9bhZPxFe/ygZ3DRHnsxSfAWq1KxWKRQGK/GzJD09k7qvCMVEhHXy00qcVJuEpT11HXevgeZNDrrkvYjMo4hrZPl48u1hXQ8la2dYDnirSidTeqMgXiKyyr9tlIIIQ6JdhZ31jvoHli0x15MErzFqrV79+5xt1s7NPNtiW2VSEWjZrzLsUMwss57ghlvANJpVNbHT0ekdUzaTc6CLjouaSc5wVLrpLOJnGA5lpnGRXK3EELMTsNRG3Ea0ovy2NUV0FJwNiR4i1WrVCodVOs9vAKVtQZrDYaYSIWEJiayEMQQGIcgcDFlC+Vw0n7eNu2jsj5expBxYnwNvqOIPYf1WZ2cYFmr85YTLMcySI23EELMF+04NJ985KI8djhQwESrb9E4Cd5iVXvhhRdGJ7cRq0daDHGtn3eEJYxHlpu4xGWwlQCqAYTj9/PGS0HKxclA2o1Ja4vvKPA0GceSsalRK1iipM57JGMhnuIipSZCCDF72S3r8FoWYVEdszrbCkrwFqtaEAQcONA9zjW1kyyTOW+i2gmWoYGq0QSxQxxobCWCSnXihXR8D1I+OqNIuTEpx+CrZAVL43mklY+r0knwrr8d5W05xP7/27v7ILeq837g33PulbTvu35d2/ELtgkmvBQngI3JhJfUg5nQX+OGaUmbX4ozrhvSdVowQ8CdTJzQTJwhHqBlHEimiZ0JYUrJtMkvlKQhJrgB2yUxCTUGu9iDg+31+t27632RdO95fn/ce7XSrl735UorfT+MsPfukXSuZOk8OnrOc6SIS7k7SUQ0iSmt0br00rLcd/JCb1nut5wmxQh/5MgRrF27FgsXLkR9fT0WL16MTZs2IZFIlLtrVAVOnDgB1zUjjosIIAaucuDCwBGBI0DSKCSNhpPQkEEXSDhQufK8IxEgFoGq04hFHMS0IGIBdVoDMRvNVgQR1EMpy083mRQvydAwx5vIw3GQJlLdnOmItU8J/X4T52ov8J4Ue1UfOHAAxhh861vfwqWXXoo333wT69atQ19fH7Zs2VLu7tEk57ouTnR1Ye7coZ28BAYQAwN/kSVcOOLNeDuAF3gnNSTh+KkmOQJvrYFIBCpiIRJxEdOCqAYsrdCrbUQthYjUwVI2GHSPZIzALZBLYphrQjWAN2oFvwAAKjBJREFU4yBNJKUUWj/0fpz66Wuh3m+yBksKTorA+/bbb8ftt9+e+nnRokU4ePAgnnzySb7h0Lg4ffosZs2ajYgdgYikKvoJXIi4MMrAiHg5x0YhaRQc14LEE0A8CRVPZp95tWzAtqHqbNiROKLaRURHoKEQtzTaohaiyfqMreMhCqIUVw2iuDrdfJSoFnAcpIkWm9qC+nkzMHD0dGj3mbjQC+O40HbtFBeYFIF3Nt3d3Zg6dWreNvF4HPG0FICentr7ZEXFERGcOX0Ws2fPGjqWmu8WGBiIv5jPEcARDcfRMHEA8aS3uDKZ9FJL0mkFRGzA1rAigphlYCtv63g3qtASBeovNgwtrmRlkwymiMWTDLypVnEcpPHWdNncUANvGCB5vgexGeGnuZTLpPxu+9ChQ3jiiSfw2c9+Nm+7zZs3o7W1NXWZN29e3vZUywzOnD3n5XX7PwMAxHiz3sFSSxE/+FZwREMcQJIukEjkXGAJy4KKWbAiBrY2iGqBrQFHCZK2jZhEYalI2uJKChgArkjeCzNNqBZxHKSJEJs5FXZLQ6j3mThbW3neZR3pH3roISil8l4OHDiQcZ3jx4/j9ttvx5/+6Z9i3bp1eW9/48aN6O7uTl2OHj06kadDk1wyEUd3z9AbQBCEGwhEGYgf5An8mW9Xw3gJ30AiCeXkqGxiacCyoKNAVBtElJfjHVMWEpEIGlQMtor5G+lklhSsdYVqeLOON012HAepkiit0Lh4Tqj3mThbWztYljXV5P7778eaNWvytlm0aKiwe2dnJ2699VbceOON+Pa3v13w9mOxGGKx2Fi7STXk9OnzaGtr9YJu5S+y9Imf1OD6wZ4RBeNoSNKFSjjerHc2SgO2BRUBLG1ga4HtJ5H32woRpWEjBgXNWe9hpIjAWgBWPKdJi+MgVZqGhbPR/cbh0DZJSNTYAsuyBt4zZszAjBkzimp7/Phx3Hrrrbj22muxbds2aM0AhcaHQKAEECXo7e1BIuEgFoumdq+El+Htt/V4RxXEBeAYwHUBx8l+B1oBWkFZgK0FET/VxNYaboNgWiyCSKIBWkfSSgpqQJman841fjpJoTZ8N6DJiuMgVRq7Pob62dMwcDzbHhfjz+kdgDMQh11fGx8QJ8Wr9vjx47jlllswf/58bNmyBadPn0ZXVxe6urrK3TWqQt3dffB2r8wM+IK5b2/TFgUEG7gYAI4LlXS8ADwbS0NpBUu7sJXAUoBWCk7UgdgaEYllLSlY67tXso43kYfjIIWpbu70UO8vfvJ8qPdXTpOiqsmLL76IQ4cO4dChQ5g7d27G76TGZwRpPHmhXHd3L2bO9CoFBLPeRhn/57TWoiCiANcAxgDGn/W2clQmsRRsS2Arga0AWylYsODEBA0XmzNKCvKftUdECr7G+R5AtWA8x8FoNArD1w3lUTcn7MD7HBovmVW4YRWYFDPea9asSQ3Awy9E40oMLl7s82e1TaqUIDA0syoYCsBTOciuv9LPGTbjHawAVArQgA5yvLWXgaJEob8xARsWtIqkSgrW+kx3wBXxdwzNfRm55yhR9RnPcVBrjZ5+w+CbcrIb6mC3NoZ2f5N1xrs/XvoINCkCb6IwiRgMDAxfKGnS/p92RJQ/Ue7necuwF6GblvetAa0EFvwZb+3NeKsmF1PQ5FU2UZPiS6jQBB9yCl2IqHjxeByuAc72uAy+KafYzLbQ7svL8x4M7f7GQ2+/i774KD74TkBfiCYd8RO2vcolLvr7vDcAEePPeZuMmaWRn3G9mW01PMdbkArGlaWgLfGCb+XNa1vQMLEExFZeLe9g90oAfHl6pRwLXYRZ3kQlERG0NmgkXWHwTTnFpreGen/xkxdCvb9iZXt59Pa76BkwaIyV/u00R3aiYUQMEokk0jfRSf0OaRu2CLwc72CVH2TkjHfws1aAUlAKXkUT5R+CgoYFNAAR1HvpJnxZpgRVTfJuoFPuThJNQralML3ZSgXfTN2k4aym+lDvL3H6Qqj3V6yEk5nSFQTdLfUaDbHSx2uO8EQZvDAu4e9CKan87qGSgiNIsJuL8RZa5qhs4u2NY2ApA63ESzVRGkoUkk2D0Moamu1O20SnlvO9vRR5KXghotJFIzoVfJ+/6DJtizLYjSEH3ucqs563iPf6MCIZQXdzQ45CCgUw8CYawaQC76KJGapu4qbNwRoDFSyuVApaC7Sf4+2lm8DbOKfBQURi0EhPNSEp4j8WFCQavSD4dlzBYJLfH9EQqz4a6u5kyfMXIaby/g1GbQ3HFZw454w56AYYeBNl5aRthpNzpnuogf+nX1IwSC8JKpoElIL2N9HRSvx9dTQ0bNgxg0ZphdYja3nXMhcCp8AlR+V0IipSNKIRtWv3mzXKTmkNHY2Edn/iGji9/aHdX7G0Rsbro7F+bGM0R3giX2qRnhgkEnEAGtkyiHXa+JT6atb1U00cAyST3sX1N9QJGmlAaYH2d6+MaMBWGjYsKNvAjSZhqVgq+K7lFJNArvJpGaXUSvx+fPPmzbj++uvR3NyMmTNnYvXq1Th48GBGm8HBQXR0dGDatGloamrCnXfeiZMnT2a0ee+993DHHXegoaEBM2fOxAMPPJDxgY1osujtdxFPCizF9xzKpGPhBd4AkDjXG+r9FcNxBfGkoC7irdMa64JkBt5EWQgMjBk5CAXBsM5snJrdVq7rVTYxxk8zcTIWWCoNWDD+zpVeuokWC0rZUI0J2DrmpZ6kcr1reyCUIqqaFPxGYpidO3eio6MDe/bswYsvvohkMonbbrsNfX19qTb33XcffvKTn+C5557Dzp070dnZiU984hOp37uuizvuuAOJRAK7du3C9773PWzfvh1f+tKXxu3cicIQ5Kw21WlEI7X9fkMjhR54n628PO+kK2iq05jWYmcsSB5t8M2iwUQ5OEkXddGhEFvnmIEWEYgRKNdPNXHN0EY6Bl5QHrxAlTfjbUFgYWj3SgDQ9QlY54c20YHSgNR2IoULA7dAMokpsa7Jz372s4yft2/fjpkzZ2Lv3r246aab0N3dje985zt45pln8NGPfhQAsG3bNnzgAx/Anj17cMMNN+DnP/853nrrLfziF79Ae3s7li5din/4h3/Agw8+iC9/+cuIRqOlnShRGaQvFItFNQYTlZdfS+Vl1YX7XlaJgXfEUmis98Zpb00EcKbXxdkeF/VR1vEmGhcKGq5beBBKlROEn2piJC3FxPiXoRemUoClvfxub/dKBUssWLARrVOIqiZuopOmuDregDEGPT09GZd4PF7UfXR3dwMApk6dCgDYu3cvkskkVq5cmWpz+eWXY/78+di9ezcAYPfu3bj66qvR3t6earNq1Sr09PRg//7943T2RBOnP27GZaEYVbewZ7yT3RdDvb9i2FbmpFt6NaCefu5cSTTutF9tO13wUkuV7Q5mtf2cbiXGSzlJKy2olJdqogBYweJKDVjQ0MqGZVmIqDpoHcx68+VZTKqJQHD06FG0trZmXDZv3lzw9o0xuPfee/HhD38YV111FQCgq6sL0WgUbW1tGW3b29vR1dWVapMedAe/D35HVMls20ZfXBh0U0FKj24camw5hNkL/x+UHr4LdH6SdGGKmPQqtyD4Hk1XObVG5EstZvTzq5UaGXCnM+K1F4EXiQf1vNO3jhe/xODQnUDB37lSeakmGhoWbGhLwxLbKynIoBsA4CoXrsq/YNEoF/PmzcO+ffsyjsdisYK339HRgTfffBOvvPLKmPpJNJnYto3GmGLQTROmqe0QLCuO5tZ30HP+ypKuK0kHsCo/XS8a0Wht4AY6RONCKT20U1VaID6cAJlBN4LNdJBWZjCtrKAGtBIof9t4BX9GXRQsy4KFyLA63rqmF1gWt7gS0FqjpaUl41Io8F6/fj2ef/55/PKXv8TcuXNTx2fNmoVEIoELFy5ktD958iRmzZqVajO8yknwc9CGqFI5jjOqHfeo9iir9H8ndqQbkYiXMtLQ/F7J1zeJyVMdangaSjH4yiPKwUlKKgjWCP7MIUg1MWkz3WIy63gHlKSWaVpaQfsz67aVOfvEjXS8hZOF/it103gRwfr16/Hv//7veOmll7Bw4cKM31977bWIRCLYsWNH6tjBgwfx3nvvYcWKFQCAFStWYN++fTh16lSqzYsvvoiWlhZcccUVYzhjoonHspdULGsUu1c2T3kHUAKIgh3pgx09X9L1Takb2E0yTDUhyiFRYIV/ED4P5Xn7gXZ6ekkwC55GK69CuB7+QVkpKO0F+0ppbsiIYlNNSgu8Ozo68Mwzz+DHP/4xmpubUznZra2tqK+vR2trK9auXYsNGzZg6tSpaGlpwec//3msWLECN9xwAwDgtttuwxVXXIFPf/rTeOSRR9DV1YUvfvGL6OjoKCrFhYhoMrCb6kq8hkF943EA3hiplEFz2zs4f2pZ8bcQLy0vfLJh4E2Ug3EKR76SyvMemsVWxt/YRam0XO/M2/JSTIb+DGbUYRuoBPMuA+LPaudvU9onlCeffBIAcMstt2Qc37ZtG9asWQMAeOyxx6C1xp133ol4PI5Vq1bhm9/8ZqqtZVl4/vnn8bnPfQ4rVqxAY2Mj7r77bjz88MMl9YWIqJLpWGm51vWNndBW0h8blX/sBM57SYFF3YY7yMCbqCYZU+RMqqT9GeykKGlvMsNuJ5Wyrby/q1SmtwYiJmtFEwVVcoBZDYwfeuczmlSTQurq6rB161Zs3bo1Z5sFCxbghRdeKOm+iYgmE22XNhHU2HoI3mDojWEiCtpKor7xOAb65hV1G4aBN1FtCmazixIsoDRpud3aQA3L8Q6CbqXESzeBgvIrm2hoQDvQKqibyplvgyRc5M/3M3DB5SpERBOglMBbJRCrPwekzXZ7fxo0tR0qPvCOM8ebqGaJlFikM302NbXgUjJmvZXKzO9O3xHT4pbNGcSva1KoDRERTYTi31+b2w5DKRci6RMhChCFaN05KJ2AmMKpK26VB96cJiLKQSn/DUcK5xkDyFxQma2ayYjbx4gFlkHgzYomHqNMwUupqSZERFSkIsayQEPz7/2/ZQ5sqUWWre8Ud5dVnmrC0Z0ow9BLQhe5Y1dqA53ghyDHO3jDypJTnP62pFTarHeEZb7SGThw/XSTXBcv1YSIiMabFLk1Y1C7O3uKpnes2JreTt9gsd2blJhqQjSCt7jRjpT6uTTLzECeVJWgokk6yxZEVf1QScEaZ8SFkfyBNWe8iYgmhnNxoKh2Q7W7s49bklbT20lMyXtb7sUBr1JYlW4ex5GdKAulNCLRzC3ksxnx6d7P51ZBPe8RN5yWwpI6pKDEC7TtKKAUF1UGghzv/BfmeBMRTQSnt7+IVkO1u4enmQxRgBI0txVONxHXVHVJQc54E+VglbJVbhEl6tJ56SUY8R5lWQqSNsPrlRGsXQIXUiCVhDPeREQTo/u3hwq2yazdnYsCpPia3tqu3vCUM95EOaR/zaXzvVTMsD8zflfcIkuVFoErZXk1vQkGLlw4eS/M8SYiKp+h2t35U0MEQzW9C9GR6v3ml6M7UQ6FcqzHOhOtMLyqCfO6hxNxC15K/baBiIjGSdba3TkbAxA0tRWeRa9m1TuXTzRK6cFvxt+H/ZlBhkoPBvW7VWomPH8qxPBQm7PdQ4rZubKoUo9ERDTugtrdXuAdvBcPD8IF6VNVpdT0rkYMvImyyAy4h7ZwH77IuujdLdMmZZWSEZnbeVNZaphIEkbyb6YgBaqeEBHRxLAjF/2g2w+1lfjzUGnpkzDe4ClItY1EepGITwu7uxVh0o328XgcS5cuhVIKv/vd78rdHaIhJWw0AAQBOOUTzHjn+49VTajWcBykSnH+1LXoPPIxdB75GM50rUCudBPXiaXadb77f2o26AYmYeD9hS98AXPmzCl3N6jKqCxvFsNTPnK+WNLjPjP8QDH3TbkUk+PNqiZUazgOUuXQMG6Df4nlaadS7Wo1xSQwqQLvn/70p/j5z3+OLVu2lLsrVCMUFLT/n/dz+u9G1uROCWp4c+HfmHgb6Dh5L0w1oVrCcZBocps0Od4nT57EunXr8KMf/QgNDQ3l7g7VsFQN7tSBHA3zBN06V8BOw7CON1FgvMZBu4prJBNVuknx6hMRrFmzBvfccw+uu+46HDlypKjrxeNxxOPx1M89PT0T1EOqBdnSUWhiCQSSbQfQjEb8EEPVbzzHQdu20R83aKiboM4S1QjHLX38KWuqyUMPPQSlVN7LgQMH8MQTT6C3txcbN24s6fY3b96M1tbW1GXevHkTdCZUFVT6KuyJfWmYIquh1PrCQVecghduoEOTWTnGQcdx0BcX9PbztUM0WomkQXd/6d+4lnXG+/7778eaNWvytlm0aBFeeukl7N69G7FYZuL+ddddh0996lP43ve+l/W6GzduxIYNG1I/9/T0MPimUdH+bLdWQW43anwz93CIFJ7xFs540yRWjnHwq1/9KhpjCj0D3muruaF6dwmk8CklQPramyr8sjiRNDjT68IaxRxdWQPvGTNmYMaMGQXb/dM//RO++tWvpn7u7OzEqlWr8Oyzz2L58uU5rxeLxUa8SREVK6jlnW83yZyLK9P5gWGuAJFhYx7B7pT5mhRKRSGqYOUaBxtiGrHIUPAdi06qWgu16eLR0O/Sjp4vuq2BC9eJQulh78kCJBNNJd1WOc4VANA0cnJ2eDpJEHRHLIX6UbxuJkWO9/z58zN+bmpqAgAsXrwYc+fOLUeXqEZk7mI5NOvt/em/GDX8FZdFfKyXoU13RLLPmXOx4BAjLiBO3jZ8vKgWTMQ4GMx09wwYNLgCy6rCqclq8vunQ7/LqTNLWxvnOo1Zj2vtYurM14u/od+XaVv5K0emciVdQd+Ai2iznRF0T2uxMBgvPV1rUgTeRKEQKfiVWBB8ByHziBnvXB9+h22uM3zrnOHbnjOY9IiYIlJN+FgRjVYQfF/oc0c1e0dU7SKWwsVBAyMO4o6kgm49fCvrIk3KwPuSSy5hXieVn/+aU0HS9/BfAIBJCwpNkHLiz3j7hxg25iaQIj6E8L2Aas94joPNDRYGEgYux1WiEWxLIRZRGEx6r4+xBN3AJA28icpJYWhiW6Uf0ACC1JT0vHCRVAAejGvZx7fCs7u1RsSBMfnf4Aw30CEak0TSIOEIIjZTTYiGMwZIOJL6xrtvwIxpQTIDbyJ4M6v56nQr0dAqs0V6nO238n+R43aMdwlyu4Pd5UVYNjC31CNVoA0RjUaQs2pbCnURpppUtAX/N/S7PPfWnqLbaj2IGXN2Q6mR79mJRAvOnby+6Nuafe0NRbedaAnHwLYUZrbZ6BswY64GxMCbaBTSv2VSGukrLgteV8RLMckVLmar4lGrgbn3DQA30CGaCOkLxVoaNOJJvpYqWpaKGxPNSRwsum207oxX0UQkYx2TUgLLSsBJTCn+jstwrrkopTCl0Zt8S1+QDGDylRMkqlT58oqDtxOtxFtcqf1Fl1r71U38PzMCwtTUdmqdpfj53QKBKKaZZGPELVgClqkmRKVzXMGF/qHqDI4L8NsjGg+SkZCJzJrek1DUVqk0EyCzGlDMLv01w8CbKId8gXCQ2638C3SWcoLBCzVYQSkCMQBEpRZYDit2wkXDIxTzhs0PLESlUEqhu9+gLmqlLRTjew9RNtnWUQbB97mL+cvdZsPAm6gEect1p7a0zN5ATJBmEuR4B/W8AQNJlRQM/uQMePAYFJrzZsBAVIpYLAZLj706A1Eta26wEE+WPpvPlRRERUofn7QCNIZSTVIpJtp7SUl6dC4mLb9EQaC8oNs/ZLIEjgy6fcEGOnkvo/sac+vWrbjkkktQV1eH5cuX47XXXhvnzhNVJmMMWho0g26iMWqIlR5GM/AmGiUFAZRfYigIvvNNifupJoKhWh1eBoo32y2py+TOhxtPUtR/pXv22WexYcMGbNq0Ca+//jquueYarFq1CqdOnRr3cyCqNIlEgkE3UZkw8CYqwVD97mDnSvh1vIeVOVHDXlr+rLf4+d0iyqtswiyJAtI/ouS7lObRRx/FunXr8JnPfAZXXHEFnnrqKTQ0NOC73/3u+HWdiKjqOahr7ERdYyeidWdytlLKpLU7HWL/Kg9zvIkKGvn5VKUWVvqpJlDZF1gGCyuNeEG2ZO5W6R3KrFXNNJN0JrUQNTeBMQY9PT0ZR2OxGGKx2IjWiUQCe/fuxcaNG1PHtNZYuXIldu/ePR6dJiKqCdNm/Rr1TcfTjgiyrcvRVhzTZ+/yWojC6eMfQWJwZjidrDCc8SYqQvrWOUFsrZQEf4HSChmlBLMxwQJLBZOa8RZ/ztb7ZZA4weAb6O3tRXELJwWvvvoqWltbMy6bN2/O2vrMmTNwXRft7e0Zx9vb29HV1TX2jhMR1YjB/hkA/Gq5AogE2zgPEWj/m17vJ4hGYnBq6H2tFJzxJipSRvAdHEttF6/S8k78n4NUbWNSGRPBm1OwgU62jXTMKFInqtFLL72Ej370o/DLxeRo5X1ncPjwYUyfPj3jN9lmu4mIaPz09SxC2/R9UMqBINdOjsF7uPd+PTgwE7UcftbumRONUhB0a5WWyq2QvaJJwE/oFtEQP0M8uABAsLwyU20vsrz11lvhPbAGyPqGLvAeI4VFixYVfbvTp0+HZVk4efJkxvGTJ09i1qxZo+8wEVHN0RgcaEd943F/0VK+1EDv9xcvLA6pb5WJgTdRCdLTTJQSDN+ga2RFEz/g9hO7vZrdamjW2083Cd6rRNysW8bXqv3738SVV16J7HmD3geVnp7ukm4zGo3i2muvxY4dO7B69WoAXnm1HTt2YP369WPuM1Gl01rDcQUJZ+jDftIROK6gu4/vPzSkB5GCbQbOXYVp0QE/lSR3BrNSLowTw+mBwtvBn+stfWOaidDd58JxBUln+MSYx3G5cyXRhEmlbquhL85UqpygKrxiQgCIV7/bIL1eh0CUDCsjmJZuUsOlT6644gpkn/X2Hr1vfvObaG5uLvl2N2zYgLvvvhvXXXcdli1bhscffxx9fX34zGc+Mz4dJ6pgbW1tONtroPuSqWNGvAXgL/y6G7ZVWqlBxxUkXUHEUrC0QsIRiAiitg6+CJxwxgAJx0Aphait4JqhPpV6PqMlgoxzBzL7FFYFx/F8PhIoHCQjPg+RzoVQaqi8q4hGXKLQEER1Ao5YcMSGNgoKhdMAo786X1pHsxiP58NxBRf6XCjlZi3BaYZvP10EBt5Ew4iY1OJG708Do1y4RuAI4BggYTTijoXkoIVovwN9MQEVGwCUhnIcL+0k6QB9A0B3P6RnEE6vYHAwgn7HxqCrMegCSWPgwIULJ1WV2kj6J33me3d2HsecOXOQOevtvdn91V/91ahu86677sLp06fxpS99CV1dXVi6dCl+9rOfjVhwSVSNlB9ADP+CTgDEIhoRu/QIsW/AxcVB498+MKXRQiQSbv2GSBI43+diMOH93FSn0VifK+94YtRFBecvuugd8CZSIrbClEadeszDMl7Phyoy5dESgWUNIP2bSdskcMGZgkHXC7Qb7YuImDoUk0YZi47Pv52xPh9JR6CVm3OLjtGM0Ay8iXwCgRIXAiDpdGMweR7RpEHS7UefdRpn7Fa8OzAFTX1taEETmq0GNEWa0bhfodEGYhqIagNL93tztAI4ojHoNmPAbcaAA/QmDS4mXfSYPvTqblzEWQxKN+LxXjjOABx3AL2Dx+C4vV7KiYx2i5jqMXv2bHhv5i6GZr0NfvSjHyESKfw1aC7r169nagnVLK8IU1okYbwgImJ7s4Glspss9Ce896q6iAo94AWAqG1hMCkYTHr9aG2yyrBRkMKUJuBMjxfoTWmyEAv5Awgwfs+HW+z449YjGg0qUXmPeVQnEZd6DLp1AIBm3Q8HDSimWtVo/g1mN/bnQynlfamdJfJWnPEmGhuBAOJAxIHrXoTjKDjowSCA3hDu3xiDRDL3JgS1qre3x08pGVqS+sd//Mdl7RMReYwIzvZ4s4IxW2EwKejtd9HcEG7w3dvvYjApqIsoxB2vT9Nawg2+E0mDs70uIv6pn+11Mb0ZiIYYfJfl+RALxtjQeih9qddpwqBbhzprAHETw9nEDDRDQq1jXQnPx3Cs401EFa+pqQlPPfUUguz4PXv2hP7VLRGNFAR5SVcwvdnCtBYbLfUaPQMGvf3hLdTs7XfRM2DQUq8xrcXG9GYLSdfrmwlpnUwiaXCm10XEUpjeamN6q42IpXCm10UiGU7aYDmfD9dp8P8m6HWa0Ou0oNnuwdTIOUyLnEVSouhBLLQEykp4PrKpqRlvSb34avureyqO67pw3XBX+BsTLLucDILNfsLp79q1a3HPPfcAUFi+fHko90lUbYLXqzFA0knfMdf7M55w4DjFfag1IujpN3AN0Nqg4bgGjmtgaSBmC85ddBBPumiITewcX3/coC8uaIwpWFrQP+itk2mKAd39LrrOuWhp0BM68+24gu5+79zroxqDcW/sqI8Kkv0GJy8YtDboCV3oORHPR7yUIdBtRIM9gD63AX1OExrti4jpOBImAteNoN5N4KKK4hyiaJRE/sKDg2OrajJez4drBMYIRHl/H874L6FSxkElYY2aFeDYsWOYN6+IFbpEVLSjR49i7ty55e4GERWB4yDR+CtlHKypwNsYg87OTjQ3N2d8Td3T04N58+bh6NGjaGlpKWMPR68azgGojvOohnMACp+HiKC3txdz5syBDqtmGBGNCcfBylcN51EN5wBMzDhYU6kmWuu8n0haWlom9T8QoDrOAaiO86iGcwDyn0dra2vIvSGiseA4OHlUw3lUwzkA4zsOcpqKiIiIiCgEDLyJiIiIiELAwBtALBbDpk2bEIsV3sa0UlXDOQDVcR7VcA5A9ZwHERVWDa/3ajgHoDrOoxrOAZiY86ipxZVEREREROXCGW8iIiIiohAw8CYiIiIiCgEDbyIiIiKiENRk4H3JJZdAKZVx+frXv573OoODg+jo6MC0adPQ1NSEO++8EydPngypxyMdOXIEa9euxcKFC1FfX4/Fixdj06ZNSCQSea93yy23jDh3bxvu8GzduhWXXHIJ6urqsHz5crz22mt52z/33HO4/PLLUVdXh6uvvhovvPBCSD0dafPmzbj++uvR3NyMmTNnYvXq1Th48GDe62zfvn3EY15XVxdSj7P78pe/PKJPl19+ed7rVNLzQERjN9nHQo6D5cFxcGzPQ00G3gDw8MMP48SJE6nL5z//+bzt77vvPvzkJz/Bc889h507d6KzsxOf+MQnQurtSAcOHIAxBt/61rewf/9+PPbYY3jqqafw93//9wWvu27duoxzf+SRR0LosefZZ5/Fhg0bsGnTJrz++uu45pprsGrVKpw6dSpr+127duHP//zPsXbtWvz2t7/F6tWrsXr1arz55puh9Tndzp070dHRgT179uDFF19EMpnEbbfdhr6+vrzXa2lpyXjMf//734fU49yuvPLKjD698sorOdtW2vNARONjMo+FHAc5Do5VWcZBqUELFiyQxx57rOj2Fy5ckEgkIs8991zq2Ntvvy0AZPfu3RPQw9F55JFHZOHChXnb3HzzzfJ3f/d34XQoi2XLlklHR0fqZ9d1Zc6cObJ58+as7f/sz/5M7rjjjoxjy5cvl89+9rMT2s9inTp1SgDIzp07c7bZtm2btLa2htepImzatEmuueaaottX+vNARKWrxrGQ42D4OA6W9jzU7Iz317/+dUybNg0f/OAH8Y1vfAOO4+Rsu3fvXiSTSaxcuTJ17PLLL8f8+fOxe/fuMLpblO7ubkydOrVgux/84AeYPn06rrrqKmzcuBH9/f0h9A5IJBLYu3dvxuOotcbKlStzPo67d+/OaA8Aq1atqpjHvbu7GwAKPu4XL17EggULMG/ePHz84x/H/v37w+heXu+88w7mzJmDRYsW4VOf+hTee++9nG0r/XkgotGptrGQ42D4OA6W9jzYo+rpJPe3f/u3+NCHPoSpU6di165d2LhxI06cOIFHH300a/uuri5Eo1G0tbVlHG9vb0dXV1cIPS7s0KFDeOKJJ7Bly5a87f7iL/4CCxYswJw5c/A///M/ePDBB3Hw4EH827/924T38cyZM3BdF+3t7RnH29vbceDAgazX6erqytq+Eh53YwzuvfdefPjDH8ZVV12Vs92SJUvw3e9+F3/wB3+A7u5ubNmyBTfeeCP279+PuXPnhtjjIcuXL8f27duxZMkSnDhxAl/5ylfwkY98BG+++Saam5tHtK/k54GIRqfaxkKOg+HjODiK56Gk+fEK9uCDDwqAvJe3334763W/853viG3bMjg4mPX3P/jBDyQajY44fv3118sXvvCFsp/HsWPHZPHixbJ27dqS72/Hjh0CQA4dOjRep5DT8ePHBYDs2rUr4/gDDzwgy5Yty3qdSCQizzzzTMaxrVu3ysyZMyesn8W65557ZMGCBXL06NGSrpdIJGTx4sXyxS9+cYJ6Vrrz589LS0uL/PM//3PW31fy80BEQ6phLOQ4mKmS3385Dpb+PFTNjPf999+PNWvW5G2zaNGirMeXL18Ox3Fw5MgRLFmyZMTvZ82ahUQigQsXLmR80j958iRmzZo1lm6PUOp5dHZ24tZbb8WNN96Ib3/72yXf3/LlywF4MwWLFy8u+fqlmD59OizLGrECPt/jOGvWrJLah2X9+vV4/vnn8V//9V8lf1qPRCL44Ac/iEOHDk1Q70rX1taGyy67LGefKvV5IKJM1TAWchzMVKnvvxwHR/k8jPqjQRV5+umnRWst586dy/r7YEHJD3/4w9SxAwcOlH1BybFjx+T973+/fPKTnxTHcUZ1G6+88ooAkDfeeGOce5fdsmXLZP369amfXdeV973vfXkXlfzRH/1RxrEVK1aUbVGJMUY6Ojpkzpw58r//+7+jug3HcWTJkiVy3333jXPvRq+3t1emTJki//iP/5j195X2PBDR+JuMYyHHwfBxHBwymueh5gLvXbt2yWOPPSa/+93v5PDhw/L000/LjBkz5C//8i9TbY4dOyZLliyR//7v/04du+eee2T+/Pny0ksvyW9+8xtZsWKFrFixohynkOrjpZdeKn/4h38ox44dkxMnTqQu6W3Sz+PQoUPy8MMPy29+8xt599135cc//rEsWrRIbrrpptD6/S//8i8Si8Vk+/bt8tZbb8lf//VfS1tbm3R1dYmIyKc//Wl56KGHUu1fffVVsW1btmzZIm+//bZs2rRJIpGI7Nu3L7Q+p/vc5z4nra2t8vLLL2c85v39/ak2w8/hK1/5ivznf/6nHD58WPbu3Suf/OQnpa6uTvbv31+OUxARkfvvv19efvlleffdd+XVV1+VlStXyvTp0+XUqVMiUvnPAxGNTTWMhRwHOQ6ORbnGwZoLvPfu3SvLly+X1tZWqaurkw984APyta99LSOn7d133xUA8stf/jJ1bGBgQP7mb/5GpkyZIg0NDfInf/InGS/usG3bti1n7ltg+Hm89957ctNNN8nUqVMlFovJpZdeKg888IB0d3eH2vcnnnhC5s+fL9FoVJYtWyZ79uxJ/e7mm2+Wu+++O6P9v/7rv8pll10m0WhUrrzySvmP//iPUPubLtdjvm3btlSb4edw7733ps63vb1dPvaxj8nrr78efufT3HXXXTJ79myJRqPyvve9T+66666M/MZKfx6IaGyqYSzkOFgeHAfH9jwoEZHSklOIiIiIiKhUNVvHm4iIiIgoTAy8iYiIiIhCwMCbiIiIiCgEDLyJiIiIiELAwJuIiIiIKAQMvImIiIiIQsDAm4iIiIgoBAy8iYiIiIhCwMCbiIiIiCgEDLyJiIiIiELAwJuIiIiIKAQMvKkinD59GrNmzcLXvva11LFdu3YhGo1ix44dZewZERHRxOM4WBuUiEi5O0EEAC+88AJWr16NXbt2YcmSJVi6dCk+/vGP49FHHy1314iIiCYcx8Hqx8CbKkpHRwd+8Ytf4LrrrsO+ffvw61//GrFYrNzdIiIiCgXHwerGwJsqysDAAK666iocPXoUe/fuxdVXX13uLhEREYWG42B1Y443VZTDhw+js7MTxhgcOXKk3N0hIiIKFcfB6sYZb6oYiUQCy5Ytw9KlS7FkyRI8/vjj2LdvH2bOnFnurhEREU04joPVj4E3VYwHHngAP/zhD/HGG2+gqakJN998M1pbW/H888+Xu2tEREQTjuNg9WOqCVWEl19+GY8//ji+//3vo6WlBVprfP/738evfvUrPPnkk+XuHhER0YTiOFgbOONNRERERBQCzngTEREREYWAgTcRERERUQgYeBMRERERhYCBNxERERFRCBh4ExERERGFgIE3EREREVEIGHgTEREREYWAgTcRERERUQgYeBMRERERhYCBNxERERFRCBh4ExERERGFgIE3EREREVEI/j9Iawucgt42YgAAAABJRU5ErkJggg==",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, tight_layout=True, figsize=(10, 6))\n",
-    "\n",
-    "_ = data_start.plot_field(\"field\", \"E\", \"abs^2\", ax=ax1)\n",
-    "_ = sim_start.plot(z=0, ax=ax2)\n",
-    "ax1.set_title(\"starting device\")\n",
-    "ax2.set_title(\"starting device\")\n",
-    "\n",
-    "_ = data_final.plot_field(\"field\", \"E\", \"abs^2\", ax=ax3)\n",
-    "_ = sim_final.plot(z=0, ax=ax4)\n",
-    "ax3.set_title(\"final device\")\n",
-    "ax4.set_title(\"final device\")\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "38997828-6ea8-489c-96b0-3cb4aae502c2",
-   "metadata": {},
-   "source": [
-    "Let's view the transmission now, both in linear and dB scale.\n",
-    "\n",
-    "The mode amplitudes are simply an [xarray.DataArray](https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html) that can be selected, post processed, and plotted."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "id": "9075ae74-7b0a-4336-98a6-0b89a650d0d3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "amps = sim_data[\"mode_bb\"].amps.sel(direction=\"-\", mode_index=mode_index)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "id": "93a9b8e8-7581-4fb3-a3f4-f718a80082d0",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "transmission = abs(amps) ** 2\n",
-    "transmission_percent = 100 * transmission\n",
-    "transmission_percent.plot(x=\"f\")\n",
-    "ax = plt.gca()\n",
-    "ax.set_title(\"mode_index=0, transmitted power %\")\n",
-    "ax.set_ylabel(\"T (%)\")\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d3e0d5af-c8b5-4e02-8955-c1701b5c454e",
-   "metadata": {},
-   "source": [
-    "We can also put this in log scale."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "id": "53fa2b4f-7b59-4318-9510-8df38ae7d1a2",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "loss = 1 - transmission\n",
-    "loss_db = 10 * np.log10(transmission)\n",
-    "loss_db.plot(x=\"f\")\n",
-    "plt.ylabel(\"loss (dB)\")\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ed3f4cd4-fe66-4320-962d-e91d40faefe7",
-   "metadata": {},
-   "source": [
-    "Finally, let's animate the field pattern evolution over the entire optimization. This will take a minute or so."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "id": "fd145f1b-74f9-432b-9f9c-71ac61944568",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "
\n",
-       "  \n",
-       "  
\n",
-       "    \n",
-       "    
\n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    
\n",
-       "    
\n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    
\n",
-       "  
\n",
-       "
\n",
-       "\n",
-       "\n",
-       "\n"
-      ],
-      "text/plain": [
-       ""
-      ]
-     },
-     "execution_count": 37,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import matplotlib.animation as animation\n",
-    "from IPython.display import HTML\n",
-    "\n",
-    "fig, (ax1, ax2) = plt.subplots(1, 2, tight_layout=False, figsize=(8, 4))\n",
-    "\n",
-    "\n",
-    "def animate(i):\n",
-    "    # grab data at iteration \"i\"\n",
-    "    sim_data_i = data_history[i]\n",
-    "\n",
-    "    # plot permittivity\n",
-    "    sim_i = sim_data_i.simulation\n",
-    "    sim_i.plot_eps(z=0, monitor_alpha=0.0, source_alpha=0.0, ax=ax1)\n",
-    "    # ax1.set_aspect('equal')\n",
-    "\n",
-    "    # plot intensity\n",
-    "    int_i = sim_data_i.get_intensity(\"field\")\n",
-    "    int_i.squeeze().plot.pcolormesh(x=\"x\", y=\"y\", ax=ax2, add_colorbar=False, cmap=\"magma\")\n",
-    "    # ax2.set_aspect('equal')\n",
-    "\n",
-    "\n",
-    "# create animation\n",
-    "ani = animation.FuncAnimation(fig, animate, frames=len(data_history))\n",
-    "plt.close()\n",
-    "\n",
-    "# display the animation (press \"play\" to start)\n",
-    "HTML(ani.to_jshtml())"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "8b94076e-345e-41b5-a122-1a9da5495e40",
-   "metadata": {},
-   "source": [
-    "> To save the animation to file, uncomment the line below. Will take a few minutes to render."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "id": "3728bfe3-12f2-479b-9f5a-f0068530171b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# ani.save('animation_bend_adjoint.gif', fps=60)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2b2b6145",
-   "metadata": {},
-   "source": [
-    "## Export to GDS\n",
-    "The `Simulation` object has the [.to_gds_file](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Simulation.html#tidy3d.Simulation.to_gds_file) convenience function to export the final design to a `GDS` file. In addition to a file name, it is necessary to set a cross-sectional plane (`z = 0` in this case) on which to evaluate the geometry. See the [GDS export](https://www.flexcompute.com/tidy3d/examples/notebooks/GDSExport/) notebook for a detailed example on using `.to_gds_file` and other GDS related functions."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "id": "e6dc501b-54ef-4ef5-b54d-a45ce55af44e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sim_final = data_history[-1].simulation\n",
-    "sim_final.to_gds_file(\n",
-    "    fname=\"./misc/inverse_des_wg_bend.gds\",\n",
-    "    z=0,\n",
-    ")"
-   ]
-  }
- ],
- "metadata": {
-  "description": "This notebook demonstrates the adjoint optimization of a waveguide bend in Tidy3D using the adjoint plugin.",
-  "feature_image": "./img/adjoint_8.png",
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "keywords": "inverse design, bend, design optimization, adjoint, Tidy3D, FDTD",
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.9"
-  },
-  "title": "Adjoint Optimization of a Waveguide Bend in Tidy3D Using the Adjoint Plugin| Flexcompute"
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/AdjointPlugin9WDM.ipynb b/AdjointPlugin9WDM.ipynb
deleted file mode 100644
index 888d75d8..00000000
--- a/AdjointPlugin9WDM.ipynb
+++ /dev/null
@@ -1,68904 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "6fa5d362-5b46-4387-8013-951463db2211",
-   "metadata": {},
-   "source": [
-    "# Adjoint optimization of a wavelength division multiplexer\n",
-    "\n",
-    "In this notebook, we will use a multi-objective optimization to design a wavelength division multiplexer (WDM).\n",
-    "\n",
-    "In short, this device takes in broadband light and directs light of different wavelengths to different output ports.\n",
-    "\n",
-    "\"Schematic\n",
-    "\n",
-    "This demo combines the basic setup of our 3rd tutorial of a [mode converter](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin3InverseDesign/) with the multi-frequency feature introduced in Tidy3D version 2.5.\n",
-    "\n",
-    "If you are unfamiliar with inverse design, we also recommend our [intro to inverse design tutorials](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) and our [primer on automatic differentiation with tidy3d](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin1Intro/).\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "c76c454e-e2c8-40ab-a4ed-e41a5e3e0d65",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import jax\n",
-    "import jax.numpy as jnp\n",
-    "import matplotlib.pylab as plt\n",
-    "import numpy as np\n",
-    "\n",
-    "# first import tidy3d, its adjoint plugin, numpy, and jax.\n",
-    "import tidy3d as td\n",
-    "import tidy3d.plugins.adjoint as tda\n",
-    "\n",
-    "np.random.seed(2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e12a92cd-ca91-4981-8168-da4bcd7bb156",
-   "metadata": {},
-   "source": [
-    "## Setup\n",
-    "\n",
-    "First we set up our basic simulation. \n",
-    "\n",
-    "We have an input waveguide connected to a square design region, which has two output waveguides. \n",
-    "\n",
-    "The square design region is a custom medium with a pixellated permittivity grid that we wish to optimize such that input light of different wavelengths get directed to different output ports.\n",
-    "\n",
-    "As this is a SOI device, we typically define the design region and waveguides as Silicon sitting on an SiO2 substrate. For this demo, we make a 2D simulation, but it can be easily made 3D by changing the `Lz` parameter, adding dimension to the structures, and adding a substrate."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "3d77b41c-91ac-49af-bc3d-cca78e938e3c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# material information\n",
-    "n_si = 3.49\n",
-    "n_sio2 = 1.45  # not used in 2D\n",
-    "n_air = 1\n",
-    "\n",
-    "# design output wavelengths\n",
-    "wavelength_top = 1.300\n",
-    "wavelength_bot = 1.550\n",
-    "\n",
-    "# and their corresponding frequencies and spectral information\n",
-    "freq_top = td.C_0 / wavelength_top\n",
-    "freq_bot = td.C_0 / wavelength_bot\n",
-    "freq0 = (freq_top + freq_bot) / 2.0\n",
-    "fwidth = abs(freq_bot - freq_top)\n",
-    "run_time = 100 / fwidth\n",
-    "\n",
-    "# create dictionaries to reference these later by string key 'top' or 'bot'\n",
-    "freqs = dict(top=freq_top, bot=freq_bot)\n",
-    "wavelengths = dict(top=wavelength_top, bot=wavelength_bot)\n",
-    "\n",
-    "# size of design region\n",
-    "lx = 2.8\n",
-    "ly = 2.8\n",
-    "lz = td.inf  # in 2D, we say the size of components is inf but the size of simulation is 0.\n",
-    "\n",
-    "# size of waveguides\n",
-    "wg_width = 0.3\n",
-    "wg_length = 1.5\n",
-    "wg_spacing = 0.8\n",
-    "\n",
-    "# spacing between design region and PML in y\n",
-    "buffer = 1.5\n",
-    "\n",
-    "# size of simulation\n",
-    "Lx = lx + wg_length * 2\n",
-    "Ly = ly + buffer * 2\n",
-    "Lz = 0.0\n",
-    "\n",
-    "# fabrication constraint (feature size and projection strength)\n",
-    "radius = 0.200\n",
-    "beta = 30\n",
-    "\n",
-    "# resolution information\n",
-    "min_steps_per_wvl = 25"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "32d9d769-d0eb-4f53-a11f-a43b8d33b7b4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# define the waveguide ports\n",
-    "\n",
-    "wg_in = td.Structure(\n",
-    "    geometry=td.Box(\n",
-    "        center=(-Lx / 2, 0, 0),\n",
-    "        size=(wg_length * 2, wg_width, lz),\n",
-    "    ),\n",
-    "    medium=td.Medium(permittivity=n_si**2),\n",
-    ")\n",
-    "\n",
-    "wg_top = td.Structure(\n",
-    "    geometry=td.Box(\n",
-    "        center=(+Lx / 2, +wg_width / 2 + wg_spacing / 2, 0),\n",
-    "        size=(wg_length * 2, wg_width, lz),\n",
-    "    ),\n",
-    "    medium=td.Medium(permittivity=n_si**2),\n",
-    ")\n",
-    "\n",
-    "wg_bot = td.Structure(\n",
-    "    geometry=td.Box(\n",
-    "        center=(+Lx / 2, -wg_width / 2 - wg_spacing / 2, 0),\n",
-    "        size=(wg_length * 2, wg_width, lz),\n",
-    "    ),\n",
-    "    medium=td.Medium(permittivity=n_si**2),\n",
-    ")\n",
-    "\n",
-    "# and a field monitor that measures fields on the z=0 plane\n",
-    "fld_mnt = td.FieldMonitor(\n",
-    "    center=(0, 0, 0),\n",
-    "    size=(td.inf, td.inf, 0),\n",
-    "    freqs=[freq_top, freq_bot],\n",
-    "    name=\"field\",\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d120bf86-54c3-4af2-b3eb-33726288d008",
-   "metadata": {},
-   "source": [
-    "> Note we can ignore this warning as it will be resolved after 2.4.0\n",
-    "\n",
-    "### Define design region\n",
-    "\n",
-    "Here we define the design region as a pixellated grid of permittivity values.\n",
-    "\n",
-    "We first define the overall geometry as a `JaxBox` and also the number of pixels in x and y."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "209f2e58-fd7d-42f7-bb6d-459f41511250",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "nx = 55\n",
-    "ny = 55\n",
-    "\n",
-    "design_region_geo = tda.JaxBox(size=(lx, ly, lz), center=(0, 0, 0))\n",
-    "design_region_dl = lx / nx"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "9b02b2fa-ce32-49ad-9844-1af1a4ff864d",
-   "metadata": {},
-   "source": [
-    "Next we write a function to give us the pixellated array as a function of our parameters through our filtering and projection methods, which are used to make the resulting structures easier to fabricate. For more details, refer to our 4th lecture in the [inverse design 101 lecture series](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/), which focuses on fabrication constraints.\n",
-    "\n",
-    "We also wrap this function in another one that generates the entire `JaxStructure` corresponding to the design region, for convenience later."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "id": "761964ee-79d7-486a-8bbb-03d2917ff844",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from tidy3d.plugins.adjoint.utils.filter import ConicFilter\n",
-    "\n",
-    "conic_filter = ConicFilter(radius=radius, design_region_dl=design_region_dl)\n",
-    "\n",
-    "# note: params is an array of shape (nx, ny) that stores values between -inf (air) and +inf (silicon)\n",
-    "\n",
-    "\n",
-    "def tanh_projection(x, beta, eta=0.5):\n",
-    "    tanhbn = jnp.tanh(beta * eta)\n",
-    "    num = tanhbn + jnp.tanh(beta * (x - eta))\n",
-    "    den = tanhbn + jnp.tanh(beta * (1 - eta))\n",
-    "    return num / den\n",
-    "\n",
-    "\n",
-    "def filter_project(x, beta, eta=0.5):\n",
-    "    x = conic_filter.evaluate(x)\n",
-    "    return tanh_projection(x, beta=beta, eta=eta)\n",
-    "\n",
-    "\n",
-    "# number of times to filter -> project. Two times with a lower beta (~30) seems to give decent results.\n",
-    "num_projections = 2\n",
-    "\n",
-    "\n",
-    "def pre_process(params, beta):\n",
-    "    \"\"\"Get the permittivity values (1, eps_wg) array as a function of the parameters (0,1)\"\"\"\n",
-    "    for _ in range(num_projections):\n",
-    "        params = filter_project(params, beta=beta)\n",
-    "    return params\n",
-    "\n",
-    "\n",
-    "def make_eps(params, beta):\n",
-    "    params = pre_process(params, beta=beta)\n",
-    "    eps_values = 1 + (n_si**2 - 1) * params\n",
-    "    return eps_values\n",
-    "\n",
-    "\n",
-    "def make_custom_medium(params, beta):\n",
-    "    \"\"\"Make JaxCustomMedium as a function of provided parameters.\"\"\"\n",
-    "    eps = make_eps(params, beta).reshape((nx, ny, 1, 1))\n",
-    "    eps = jnp.where(eps < 1, 1, eps)\n",
-    "    eps = jnp.where(eps > n_si**2, n_si**2, eps)\n",
-    "\n",
-    "    xs = list(jnp.linspace(-lx / 2, lx / 2, nx))\n",
-    "    ys = list(jnp.linspace(-ly / 2, ly / 2, ny))\n",
-    "    zs = [0]\n",
-    "    freqs = [freq0]\n",
-    "    coords = dict(x=xs, y=ys, z=zs, f=freqs)\n",
-    "\n",
-    "    eps_dataset = tda.JaxDataArray(values=eps, coords=coords)\n",
-    "\n",
-    "    medium = tda.JaxCustomMedium(\n",
-    "        eps_dataset=tda.JaxPermittivityDataset(\n",
-    "            eps_xx=eps_dataset,\n",
-    "            eps_yy=eps_dataset,\n",
-    "            eps_zz=eps_dataset,\n",
-    "        )\n",
-    "    )\n",
-    "\n",
-    "    struct = tda.JaxStructure(geometry=design_region_geo, medium=medium)\n",
-    "\n",
-    "    return struct"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d8dcf2f1-9bf8-49e6-9e1e-6221992c7210",
-   "metadata": {},
-   "source": [
-    "### Define base simulation\n",
-    "\n",
-    "With all of these functions and variables defined, we can write a single function to return our \"base\" `JaxSimulation` as a function of our design parameters. This function first constructs the design region and then creates a `JaxSimulation` with all of the basic parameters.\n",
-    "\n",
-    "Note, we don't yet have a source or monitors for injecting and measuring our fields, but will add those next after running the mode solver."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "1d67ccdc-758e-4648-aabc-4264b83086a1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def make_sim_base(params, beta):\n",
-    "    input_struct = make_custom_medium(params, beta=beta)\n",
-    "\n",
-    "    return tda.JaxSimulation(\n",
-    "        size=(Lx, Ly, Lz),\n",
-    "        grid_spec=td.GridSpec.auto(min_steps_per_wvl=min_steps_per_wvl, wavelength=wavelength_top),\n",
-    "        structures=[wg_in, wg_top, wg_bot],\n",
-    "        monitors=[fld_mnt],\n",
-    "        input_structures=[input_struct],\n",
-    "        boundary_spec=td.BoundarySpec.pml(x=True, y=True, z=True if Lz else False),\n",
-    "        run_time=run_time,\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "aaab90f1-970e-4fde-89d8-f08ae61f530f",
-   "metadata": {},
-   "source": [
-    "Let's test out our function. We'll make an initially random array of parameters between 0 and 1 and generate the base simulation to plot and inspect."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "08846717-16bc-49ee-bcb3-dd5e1c30cd6c",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "WARNING:jax._src.xla_bridge:No GPU/TPU found, falling back to CPU. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n"
-     ]
-    }
-   ],
-   "source": [
-    "params0 = np.random.random((nx, ny))\n",
-    "sim_base = make_sim_base(params0, beta=1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "65933269-50cd-4dea-b32d-25f39492c7dc",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ax = sim_base.plot_eps(z=0, monitor_alpha=0.0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "27386dd2-e686-4fd0-8210-20bac15dc422",
-   "metadata": {},
-   "source": [
-    "It all looks good, so now we add the bits that define the optimization.\n",
-    "\n",
-    "## Adding Mode Sources and Monitors\n",
-    "\n",
-    "### Solving modes\n",
-    "First, we need to create our `ModeSource` and `ModeMonitor` objects that inject and measure the modes that we are interested in optimizing.\n",
-    "\n",
-    "We'll use `tidy3d`'s `ModeSolver` and use the remote `run` function that gets more accurate results by running on Flexcompute's servers."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "439f9a65-ec0b-4fab-bdc1-d6831108153e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from tidy3d.plugins.mode import ModeSolver\n",
-    "from tidy3d.plugins.mode.web import run as run_mode_solver\n",
-    "\n",
-    "# we'll ask for 4 modes just to inspect\n",
-    "num_modes = 4\n",
-    "\n",
-    "# let's define how large the mode planes are and how far they are from the PML relative to the design region\n",
-    "mode_size = (0, 1.8 * wg_spacing + wg_width, max([Lz, lz, 3]))\n",
-    "space_fraction = 0.2\n",
-    "\n",
-    "# make a plane corresponding to where we wish to measure the input mode\n",
-    "plane_in = td.Box(\n",
-    "    center=(-Lx / 2 + space_fraction * wg_length, 0, 0),\n",
-    "    size=mode_size,\n",
-    ")\n",
-    "\n",
-    "# construct the mode solver using our base sim (converted from `JaxSimulation` to regular `Simulation`) + our plane\n",
-    "mode_solver = ModeSolver(\n",
-    "    simulation=sim_base.to_simulation()[0],\n",
-    "    plane=plane_in,\n",
-    "    freqs=[freq_top],\n",
-    "    mode_spec=td.ModeSpec(num_modes=num_modes),\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "10bd2470-6bf4-4f46-9912-191ad57ca3ab",
-   "metadata": {},
-   "source": [
-    "Next we run the mode solver on the servers."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "682799a3-1e90-4b17-a0aa-c416a4171f9f",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
10:59:18 PST Mode solver created with                                           \n",
-       "             task_id='fdve-9a68c85b-b233-4b9c-918f-aec0bf5cdcd1',               \n",
-       "             solver_id='mo-4bbb01f6-7a1f-490a-a82f-7d81cbd26a0f'.               \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m10:59:18 PST\u001b[0m\u001b[2;36m \u001b[0mMode solver created with                                           \n",
-       "\u001b[2;36m             \u001b[0m\u001b[33mtask_id\u001b[0m=\u001b[32m'fdve-9a68c85b-b233-4b9c-918f-aec0bf5cdcd1'\u001b[0m,               \n",
-       "\u001b[2;36m             \u001b[0m\u001b[33msolver_id\u001b[0m=\u001b[32m'mo-4bbb01f6-7a1f-490a-a82f-7d81cbd26a0f'\u001b[0m.               \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e0e5ff68a99b45ec99841716a4bceba7",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c5dd6fcd080c46ddb8a3339145124798",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
10:59:19 PST Mode solver status: queued                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m10:59:19 PST\u001b[0m\u001b[2;36m \u001b[0mMode solver status: queued                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:01:30 PST Mode solver status: running                                        \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:01:30 PST\u001b[0m\u001b[2;36m \u001b[0mMode solver status: running                                        \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:01:33 PST Mode solver status: success                                        \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:01:33 PST\u001b[0m\u001b[2;36m \u001b[0mMode solver status: success                                        \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e9b6dd0d593345a48a32b5eed5363545",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "mode_data = run_mode_solver(mode_solver, reduce_simulation=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d0403fdb-7cc3-44c0-97ed-75183da44c93",
-   "metadata": {},
-   "source": [
-    "And visualize the results."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "b84807cb-0c7e-497a-88de-6ebc753f2636",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Effective index of computed modes:  [[3.141611 2.806403 1.953868 1.062474]]\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, axs = plt.subplots(num_modes, 3, figsize=(12, 12), tight_layout=True)\n",
-    "for mode_index in range(num_modes):\n",
-    "    vmax = 1.1 * max(\n",
-    "        abs(mode_data.field_components[n].sel(mode_index=mode_index)).max()\n",
-    "        for n in (\"Ex\", \"Ey\", \"Ez\")\n",
-    "    )\n",
-    "    for field_name, ax in zip((\"Ex\", \"Ey\", \"Ez\"), axs[mode_index]):\n",
-    "        field = mode_data.field_components[field_name].sel(mode_index=mode_index)\n",
-    "        field.real.plot(label=\"Real\", ax=ax)\n",
-    "        field.imag.plot(ls=\"--\", label=\"Imag\", ax=ax)\n",
-    "        ax.set_title(f\"index={mode_index}, {field_name}\")\n",
-    "        ax.set_ylim(-vmax, vmax)\n",
-    "\n",
-    "axs[0, 0].legend()\n",
-    "\n",
-    "print(\"Effective index of computed modes: \", np.array(mode_data.n_eff))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "43d92a79-c290-48c9-8354-55c998e5b870",
-   "metadata": {},
-   "source": [
-    "We identify `mode_index=0` as the first order mode that is out of plane of the device. Let's choose to optimize our device with respect to this as the mode of interest for both the input and output.\n",
-    "\n",
-    "We re-set the `ModeSpec` to only compute the number of modes we need (1) and also update our `ModeSolver` accordingly."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "id": "8ebd9a87-8928-48a6-bbe1-56d774a49c89",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "mode_index = 0\n",
-    "mode_spec = td.ModeSpec(num_modes=mode_index + 1)\n",
-    "mode_solver = mode_solver.updated_copy(mode_spec=mode_spec)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "46058639-ce2e-4f35-9938-04163e7ef11d",
-   "metadata": {},
-   "source": [
-    "### Make input and output mode sources and monitors\n",
-    "Next, we will generate the input `ModeSource` and output `ModeMonitor` objects using the convenience methods defined in the `ModeSolver`.\n",
-    "\n",
-    "Because our `plane` was defined at the input port, we'll modify the centers of the `ModeMonitor`s to place them at the output ports to the right of the device."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "id": "b2b17072-8e40-4509-904d-37197a542f07",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# make source\n",
-    "mode_src = mode_solver.to_source(\n",
-    "    source_time=td.GaussianPulse(\n",
-    "        freq0=freq0,\n",
-    "        fwidth=fwidth,\n",
-    "    ),\n",
-    "    direction=\"+\",\n",
-    "    mode_index=mode_index,\n",
-    ")\n",
-    "\n",
-    "# make a basic monitor\n",
-    "mode_mnt = mode_solver.to_monitor(freqs=[freq0], name=\"_\")\n",
-    "\n",
-    "# construct the proper centers for the monitors at the 'top' and 'bot' ports\n",
-    "mnt_center_top = list(plane_in.center)\n",
-    "mnt_center_bot = list(plane_in.center)\n",
-    "mnt_center_top[0] = -plane_in.center[0]\n",
-    "mnt_center_bot[0] = -plane_in.center[0]\n",
-    "mnt_center_top[1] = wg_top.geometry.center[1]\n",
-    "mnt_center_bot[1] = wg_bot.geometry.center[1]\n",
-    "\n",
-    "# make a dictionary of names and frequencies to refer to later by key\n",
-    "mnt_names = dict(top=\"mode_top\", bot=\"mode_bot\")\n",
-    "mnt_freqs = dict(top=freq_top, bot=freq_bot)\n",
-    "\n",
-    "# make two updated copies of the mode monitor with the proper frequencies, centers, and names\n",
-    "mode_mnt_top = mode_mnt.updated_copy(\n",
-    "    freqs=[mnt_freqs[\"top\"]], center=mnt_center_top, name=mnt_names[\"top\"]\n",
-    ")\n",
-    "mode_mnt_bot = mode_mnt.updated_copy(\n",
-    "    freqs=[mnt_freqs[\"bot\"]], center=mnt_center_bot, name=mnt_names[\"bot\"]\n",
-    ")\n",
-    "\n",
-    "# make another dictionary mapping the keys to the monitors\n",
-    "mode_mnts = dict(top=mode_mnt_top, bot=mode_mnt_bot)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a2b3655c-b014-440b-a4f6-6bd95ab95d90",
-   "metadata": {},
-   "source": [
-    "### Add flux monitors\n",
-    "\n",
-    "For plotting later, we'll add a couple of `FluxMonitor` objects at the output ports to measure the total flux over a large spectrum. With this data, we should be able to clearly see the difference in transmission for each of the ports at the design region and get an idea about the device bandwidth."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "id": "84d7cde0-78da-476a-b34f-c5d874f97f2f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Nf = 121\n",
-    "freqs_flux = np.linspace(freq_bot - fwidth / 10, freq_top + fwidth / 10, Nf)\n",
-    "\n",
-    "flux_mnt_names = dict(top=\"flux_top\", bot=\"flux_bot\")\n",
-    "\n",
-    "flux_mnt_top = td.FluxMonitor(\n",
-    "    center=mode_mnt_top.center,\n",
-    "    size=mode_mnt_top.size,\n",
-    "    name=flux_mnt_names[\"top\"],\n",
-    "    freqs=list(freqs_flux),\n",
-    ")\n",
-    "\n",
-    "flux_mnt_bot = td.FluxMonitor(\n",
-    "    center=mode_mnt_bot.center,\n",
-    "    size=mode_mnt_bot.size,\n",
-    "    name=flux_mnt_names[\"bot\"],\n",
-    "    freqs=list(freqs_flux),\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3c5e650d-a063-40d8-b18c-ed613739b733",
-   "metadata": {},
-   "source": [
-    "### Add to simulation\n",
-    "\n",
-    "Finally, we will wrap our previous `make_sim_base()` function in a new one that adds our new objects to this base simulation."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "id": "8511b5e1-288c-409e-9715-b88a04389d1c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def make_sim(params, beta):\n",
-    "    output_monitors = [mode_mnts[\"top\"], mode_mnts[\"bot\"]]\n",
-    "\n",
-    "    sim_base = make_sim_base(params, beta=beta)\n",
-    "    return sim_base.updated_copy(\n",
-    "        output_monitors=output_monitors,\n",
-    "        sources=[mode_src],\n",
-    "        monitors=tuple(list(sim_base.monitors) + [flux_mnt_top, flux_mnt_bot]),\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "86fcca5e-392b-485f-a00c-2b99b9594606",
-   "metadata": {},
-   "source": [
-    "Let's make the final simulation and visualize it with the sources and monitors added."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "id": "08e654f3-cec5-4429-bcee-430ef12efcdf",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sim = make_sim(params0, beta=1)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "dacc319d-247a-4d23-a95b-639b2baf803e",
-   "metadata": {},
-   "source": [
-    "Note: the `FluxMonitor` objects are overlaying the output `ModeMonitor` objects."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "id": "9bcacc4f-275e-4167-b283-d468f12cc0eb",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeQAAAHWCAYAAACmHPpfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAABpUElEQVR4nO3deZwT9f0/8FfuvZIl7C7HCnJ6A2oRVDyASj3qRa1a/dmKR7EiapHWKtZ60OqqtUq/HqjftuLXE7VF+tV64IF4VBSUfj0qXqi4gJBlN9nNsrlmfn+kk0yyM5NJMpNj5/V8PPIgO0lmPsknfN75vOczn49NFEURREREVFb2cheAiIiIGJCJiIgqAgMyERFRBWBAJiIiqgAMyERERBWAAZmIiKgCMCATERFVAAZkIiKiCsCATEREVAEYkIlMsHr1athsNqxevbrcRSGiKsGATFSEu+++G8uWLSt3MQryyCOPYMmSJeUuBgBAEATccsstGDNmDGpqajBp0iQ8+uijul/f1dWFCy64AC0tLaivr8fMmTPx7rvv9nve8uXL8eMf/xh77LEHbDYbZsyYYeC7ICqOjXNZExVuwoQJaG5u7tcTFgQB0WgUbrcbdntl/u494YQT8MEHH+DLL78sd1GwaNEi3HTTTZg7dy6mTJmClStX4plnnsGjjz6KM844Q/O1giDgiCOOwL/+9S9cfvnlaG5uxt13343Nmzdj/fr12GOPPVLPnTFjBtavX48pU6Zgw4YNmDRpErMYVDEYkKlo4XAY9fX15S5GWagF5GpQKQG5vb0dY8aMwQUXXIA777wTACCKIqZPn45Nmzbhyy+/hMPhUH39448/jh/96Ed44okncOqppwIAduzYgT333BPHHXccHnnkkdRzN2/ejN122w12u72q644Gpsr86U5l097ejvPPPx+tra3weDwYM2YM5s2bh2g0CgBYtmwZbDYbXn31VVx00UUYMmQIRowYkXr93Xffjf322w8ejwetra2YP38+urq6Mo7x6aef4oc//CGGDRuGmpoajBgxAmeccQaCwWDqOatWrcLhhx+OQYMGoaGhAXvttReuuuqqnOXX87pIJIJrr70W48ePh8fjwciRI/GrX/0KkUik3/4eeughTJ06FXV1dfD7/TjyyCPxwgsvAABGjx6NDz/8EK+++ipsNltGClTtHPITTzyByZMno7a2Fs3Nzfjxj3+M9vb2jOecc845aGhoQHt7O2bPno2Ghga0tLTgl7/8JRKJRM7PYOXKlTj++ONTdThu3Dj89re/zXjtjBkz8Mwzz+Crr75KlX306NGq+zznnHNSz8u+XXfddTnLlKu8sVgMF110UWqbzWbDvHnz8M033+Cf//yn5uuffPJJDB06FKecckpqW0tLC04//XSsXLkyo15HjhxZsRkLIme5C0CVY8uWLZg6dWrqfNzee++N9vZ2PPnkk+jt7YXb7U4996KLLkJLSwuuueYahMNhAMB1112H66+/HrNmzcK8efOwceNGLF26FO+88w7eeOMNuFwuRKNRHHPMMYhEIrjkkkswbNgwtLe34+mnn0ZXVxcaGxvx4Ycf4oQTTsCkSZOwePFieDwefPbZZ3jjjTc0y6/ndYIg4KSTTsLrr7+OCy64APvssw/ef/993H777fjkk0/w1FNPpZ57/fXX47rrrsO0adOwePFiuN1urF27Fi+//DKOPvpoLFmyBJdccgkaGhrw61//GgAwdOhQ1fItW7YM5557LqZMmYK2tjZ8++23+OMf/4g33ngD7733HgYNGpR6biKRwDHHHIODDz4Yt956K1588UX84Q9/wLhx4zBv3jzNz2HZsmVoaGjAwoUL0dDQgJdffhnXXHMNQqEQfv/73wMAfv3rXyMYDOKbb77B7bffDgBoaGhQ3efPfvYzzJo1K2Pbc889h4cffhhDhgxJbQsEApplk3i9Xng8HgDAe++9h/r6euyzzz4Zz5k6dWrq8cMPP1x1X++99x6+853v9Au0U6dOxX333YdPPvkEEydO1FUuorISif7j7LPPFu12u/jOO+/0e0wQBFEURfH+++8XAYiHH364GI/HU49v375ddLvd4tFHHy0mEonU9jvvvFMEIP7lL38RRVEU33vvPRGA+MQTT6iW4/bbbxcBiDt27Mir/Hpe9+CDD4p2u1187bXXMrbfc889IgDxjTfeEEVRFD/99FPRbreLP/jBDzLejyimPwtRFMX99ttPnD59er/jvPLKKyIA8ZVXXhFFURSj0ag4ZMgQccKECeKuXbtSz3v66adFAOI111yT2jZnzhwRgLh48eKMfR544IHi5MmTtT8EURR7e3v7bfvZz34m1tXViX19faltxx9/vDhq1Kic+1Py6aefio2NjeL3vve9jO8BAF23+++/P6McY8eO7XeMcDgsAhCvvPJKzbLU19eL5513Xr/tzzzzjAhAfO655xRfp1Z3ROXC3A0BSPYcn3rqKZx44ok46KCD+j1us9ky/p47d27Geb0XX3wR0WgUCxYsyOipzJ07Fz6fD8888wwAoLGxEQDw/PPPo7e3V7EsUk9x5cqVEARB93vQ87onnngC++yzD/bee28EAoHU7bvf/S4A4JVXXgEAPPXUUxAEAddcc02/nlf2Z6HHunXrsH37dlx00UWoqalJbT/++OOx9957pz4fuQsvvDDj7yOOOAJffPFFzmPV1tam7nd3dyMQCOCII45Ab28vPv7447zLni0cDuMHP/gB/H4/Hn300YzvwapVq3TdjjnmmNRrdu3aleoty0mf065duzTLU+zriSoFU9YEIDkIJhQKYcKECbqeP2bMmIy/v/rqKwDAXnvtlbHd7XZj7NixqcfHjBmDhQsX4rbbbsPDDz+MI444AieddBJ+/OMfp4L1j370I/zpT3/CT3/6U1x55ZU46qijcMopp+DUU0/VPP+n53Wffvop/v3vf6OlpUVxH9u3bwcAfP7557Db7dh33311fR65qH0+ALD33nvj9ddfz9hWU1PTr4x+vx+dnZ05j/Xhhx/i6quvxssvv4xQKJTxmPw8faHmzp2Lzz//HG+++SaampoyHstOa+tRW1ureP6+r68v9biZryeqFAzIVJBiGrk//OEPOOecc7By5Uq88MILuPTSS9HW1oa33noLI0aMQG1tLdasWYNXXnkFzzzzDJ577jksX74c3/3ud/HCCy+ojrjV8zpBEDBx4kTcdtttivsYOXJkwe/LSFqjirV0dXVh+vTp8Pl8WLx4McaNG4eamhq8++67uOKKK/LKOCj54x//iEcffRQPPfQQDjjggH6Pb9u2Tdd+GhsbU9+h4cOH45VXXoEoihnZh61btwIAWltbNfc1fPjw1HPl9L6eqFIwZU0AkqNSfT4fPvjgg4JeP2rUKADAxo0bM7ZHo1Fs2rQp9bhk4sSJuPrqq7FmzRq89tpraG9vxz333JN63G6346ijjsJtt92Gjz76CDfccANefvnlVEpZTa7XjRs3Djt37sRRRx2FWbNm9btJPdhx48ZBEAR89NFHmsfTm75W+3ykbdmfT6FWr16Njo4OLFu2DD//+c9xwgknYNasWfD7/f2em2/q/bXXXsMvf/lLLFiwAGeddZbic4YPH67rtnz58tRrDjjgAPT29uLf//53xr7Wrl2belzLAQccgHfffbffj421a9eirq4Oe+65Z17vk6hcGJAJQDKQzZ49G//7v/+LdevW9XtczHG5+qxZs+B2u/Ff//VfGc/985//jGAwiOOPPx4AEAqFEI/HM147ceJE2O32VNpx586d/fYvNcpKqUmJntedfvrpaG9vx3//93/3e+6uXbtSI8Znz54Nu92OxYsX92vo5e+vvr6+32VdSg466CAMGTIE99xzT8Z7ePbZZ/Hvf/879fkUS+pZy8sYjUZx991393tufX297hT21q1bcfrpp+Pwww9PjdRWUsg55JNPPhkulyujjKIo4p577sFuu+2GadOmZZTj448/RiwWS2079dRT8e233+Jvf/tbalsgEMATTzyBE088UfH8MlElYsqaUm688Ua88MILmD59euqSoK1bt+KJJ57A66+/nnFZTraWlhYsWrQI119/PY499licdNJJ2LhxI+6++25MmTIFP/7xjwEAL7/8Mi6++GKcdtpp2HPPPRGPx/Hggw/C4XDghz/8IQBg8eLFWLNmDY4//niMGjUK27dvx913340RI0ZoXv6i53U/+clP8Pjjj+PCCy/EK6+8gsMOOwyJRAIff/wxHn/8cTz//PM46KCDMH78ePz617/Gb3/7WxxxxBE45ZRT4PF48M4776C1tRVtbW0AgMmTJ2Pp0qX43e9+h/Hjx2PIkCGpAWJyLpcLN998M84991xMnz4dZ555Zuqyp9GjR+Oyyy4rtNoyTJs2DX6/H3PmzMGll14Km82GBx98UPEH1eTJk7F8+XIsXLgQU6ZMQUNDA0488UTF/V566aXYsWMHfvWrX+Gxxx7LeGzSpEmYNGkSgMLOIY8YMQILFizA73//e8RiMUyZMgVPPfUUXnvtNTz88MMZ6ftFixbhgQcewKZNm1LXTZ966qk45JBDcO655+Kjjz5KzdSVSCRw/fXXZxxrzZo1WLNmDYDkuIlwOIzf/e53AIAjjzwSRx55ZN7lJzJMGUd4UwX66quvxLPPPltsaWkRPR6POHbsWHH+/PliJBIRRTF92ZPSpVGimLzMae+99xZdLpc4dOhQcd68eWJnZ2fq8S+++EI877zzxHHjxok1NTXi4MGDxZkzZ4ovvvhi6jkvvfSSePLJJ4utra2i2+0WW1tbxTPPPFP85JNPNMuu93XRaFS8+eabxf3220/0eDyi3+8XJ0+eLF5//fViMBjMeO5f/vIX8cADD0w9b/r06eKqVatSj2/btk08/vjjRa/XKwJIXUaTfdmTZPny5an9DR48WDzrrLPEb775JuM5c+bMEevr6/u9v2uvvVbU81/2jTfeEA855BCxtrZWbG1tFX/1q1+Jzz//fL/y9PT0iP/v//0/cdCgQSIAzUugpk+frnoJ07XXXpuzTLkkEgnxxhtvFEeNGiW63W5xv/32Ex966KF+z5MuCdu0aVPG9p07d4rnn3++2NTUJNbV1YnTp09X/I5Kn6FZ74OoGJw6k4iIqALwHDIREVEFYEAmIiKqAAzIREREFYABmYiIqAIwIBMREVUABmQiIqIKYKmJQQRBwJYtW+D1egtasYeIyKpEUUR3dzdaW1s1F3lR09fXh2g0WvDx3W53xkppA5GlAvKWLVtwxx13wOlMv22bzZbx5RJFEYlEAp2dnTmnizSS2+1OlUMQhKK+uIVyOp0Zn00kEinpZwAk60M+1WE8Hu831WYpsD6SWB9pA7U+bDYb/H6/rk7KjTfeiM2bN2PEiBF5HaOvr6/oVbeGDRuGTZs2DeigbKmA7PV64XQ6UVdXlxGE5f+5nU4nbDYbRo8eXfCKO4WIRqOpeYUbGxvhdrtLdmyJIAjo6OgAkGwApeUQSy0YDKbqpKmpqaBf48VifaSxPpIGan0kEgkEAoGcAVma093r9eZ9DCN+QG3btg3RaJQBeaCQvnB2ux0ulwtAetEBu92e6h07nU54PJ6S/aePRqPo6upK/YLs7e1FXV1dSRsdqbFxuVzweDzo6+tDIpEo6D9fMbq7uyEIAhoaGhCJRLBr166SBwHWRxrrI2kg10c0GoXdbk/d1EgLehR7uq+Q1xeSiVizZg1+//vfY/369di6dStWrFiB2bNnA0i+l6uvvhr/+Mc/8MUXX6CxsRGzZs3CTTfdVNblOi09qCsSiSAej8PpdKK2thZutzsVlItdN1avaDSKQCAAl8uF5uZmNDc3w+VyIRAIlCwtJzU2sVgMzc3NaGpqgs/nQygUQnd3d0nKACQbm1AoBJ/Ph6amJjQ3NyMWi6Gjo4P1wfpgfVRAfRTLZrMVfMtXOBzG/vvvj7vuuqvfY729vXj33Xfxm9/8Bu+++y7+9re/YePGjTjppJOMeJsFs1QPWU4ejKVzMk6nE6IoIhaLoaurC0OGDDG1JyBvbOS/cpuamtDR0YFAIIDm5mZTewLZjY10LOmXfygUyvjbLPLGRjqW2+1Gc3MzAoEAOjo6TO+ZsT7SWB9JrI+0agn6kuOOOw7HHXec4mONjY1YtWpVxrY777wTU6dOxddff43dd9+9FEXsx5I9ZGkghDwYSxwOB5xOJ+LxuKm/PNUaGyCZPm9qajK9J6DW2Ei8Xm9JegJKjY1EanTM7gmwPtJYH0msjzSjBvOVsoecr2AwCJvNprnMrNksF5DtdjsEQVAMxvLn+P1+077kWo2NvAxmNjq5GhuJ2Y2OVmMjMbvRYX2ksT6SWB9p8XjcsM+32IAcCoUybtIYoGL19fXhiiuuwJlnngmfz2fIPgthuYAsXeakFowl0jkro7/kehobiVmNjt7GRmJWo6OnsZGY1eiwPtJYH0msjzQpGNtsttRA2HIaOXIkGhsbU7e2trai9xmLxXD66adDFEUsXbrUgFIWznIBWRTFjGsJtRj9Jc+nsZEY3ejk29hIjG508mlsJKyPNNZHEusjzej6kAdjj8djSNq42B7y5s2bEQwGU7dFixYVVR4pGH/11VdYtWpVWXvHgAUDcr5fUqO+5IU0NhKjGp1CGxuJUY1OIY2NhPWRxvpIYn2kGVUf2cHYqMFixQZkn8+XccuV6dQiBeNPP/0UL774Ipqamgx5j8WwXEAuRLFf8mIaG0mxjU6xjY2k2EanmMZGwvpIY30ksT7Siq0Ps4JxqfX09GDDhg3YsGEDAGDTpk3YsGEDvv76a8RiMZx66qlYt24dHn74YSQSCWzbti01+Ui5VOcnXQaFfsmNaGwkhTY6RjU2kkIbHSMaGwnrI431kcT6SCu0PswOxqUcZb1u3ToceOCBOPDAAwEACxcuxIEHHohrrrkG7e3t+Pvf/45vvvkGBxxwAIYPH566vfnmm4a+53xY9jrkQuR73Z+RjY1EanT0XodpdGMjyfc6TCMbGwnrI431kcT6SMu3PhKJBGKxmKk941JdwgQAM2bM0Jzhq9TzkOvBHnKe9P7yNKOxkejtCZjV2Ej09gTMaGwkrI801kcS6yNNb31IC3ZUe5q62vFTL0CuL7mZjY0kV6NjdmMjydXomNnYSFgfaayPJNZHWq76iMViiMfjJQnGlTwxSCVgQC6Q2pe8FI2NRK3RKVVjI1FrdErR2EhYH2msjyTWR5pWfXR2dpasZ8yArI0BuQjZX/JIJFKyxkaS3ehEIpGSNjaS7EanlI2NhPWRxvpIYn2kqdWH0+mEw+GwTNCrZAzIRZK+5NIvf6fTWfLl6aRGx+l0pnoCpWxsJPJGp9SNjYT1kcb6SGJ9pCnVx6BBg0pWH+wha+MoayIiKgkrBddCsIdcJOmXpvTL0+xVopRI58Ti8Xjql38p14uVyNNw5VgvFmB9yLE+klgfaUr10dXVVXVLKw5UDMhFyB6g4vF4Sr5oePYAFY/HU5Kl6bJlnxMr1dJ0cqyPNNZHEusjTa0+4vE4EolESa7LZcpaGwNygdRGi5ZqfVJAfbRoqdaLlagNUCllo8P6SGN9JLE+0rTqw+/3QxRFRCIR038kMSBrY0AuQK5LN0rR6OS6dKNUjU6u0aKlaHRYH2msjyTWR1qu+nC5XHA6nSULyqSOATlPeq+jNLPR0XsdpdmNjt5LN8xsdFgfaayPJNZHmt76sNvtcLvdpgdl9pC1VU1AXrp0KSZNmpQaEHHooYfi2WefLWkZ8p3UwIxGJ99JDcxqdPK9jtKMRof1kcb6SGJ9pOVbHw6Hw/SgzICsrWoC8ogRI3DTTTdh/fr1WLduHb773e/i5JNPxocffliS4xc6w5CRjU6hMwwZ3egUOqmBkY0O6yON9ZHE+kgrtD6cTmdJesqkrGoC8oknnojvf//72GOPPbDnnnvihhtuQENDA9566y3Tj13sdH9GNDrFTvdnVKNT7AxDRjQ6rI801kcS6yOt2PowMyizh6ytagKyXCKRwGOPPYZwOIxDDz00r9fm++U0au7dYhodo+beLbbRMWq6v2IaHdZHGusjifWRZlR9mBWUGZC1VVVAfv/999HQ0ACPx4MLL7wQK1aswL777qv6/EgkkpqmTrrZbDbE43FdxzN6IvxCGh2jJ8IvtNExeu7dQhod1kca6yOJ9ZFmdH1kB+VKXD94oKmqgLzXXnthw4YNWLt2LebNm4c5c+bgo48+Un1+W1sbGhsbU7eRI0dCFEUIgoBIJKJ5rFgsZspE+Pk0OmatSpNvo2PWRPj5NDpmrRLE+khjfSSxPtLkQTkWixmyT/aO1VVVQHa73Rg/fjwmT56MtrY27L///vjjH/+o+vxFixYhGAymbps3b4YgCLDb7YjH46pBWRAEdHZ2mrYqjZ5Gx+wl4vQ2OmavSqOn0TF7yT7WRxrrI4n1kSYFZSMwZa2tqgJytlw9XY/Hk7pMSroByS+Y0+lUDMqJRALxeNz0VWm0Gp1Srdeaq9Ep1RJxWo1OqdbPZX2ksT6SWB9pUptJ5qqagLxo0SKsWbMGX375Jd5//30sWrQIq1evxllnnVXQ/jweT7+gHI/HEY1GYbPZSrIkmVKjU+rF09UanVKv16rU6JRyMXuA9SHH+khifaQZsX/2kLVVzU+e7du34+yzz8bWrVvR2NiISZMm4fnnn8f3vve9vPclnUd2uVwQRbHf5Op2ux2JRKJkE883Njais7MT3377LYBkL93v9wNAycrg8/nQ2dmJ7du3w+12IxKJpAbQlaoMHo8HdXV16Orqwq5duxCNRuF0OuHz+XQPxDMC6yOJ9ZE2kOsjFoul2kQtRgzqKjS4MiBXmD//+c+G7Ef6UklfPmkOV1EUYbPZMuZ0TSQShhxTj4aGhlRPvba2FolEoqTHl47b19cHURRRW1sLh8OBvr6+kpbB4XCk3r/L5UJNTU3OAXhmYH0ksT7SBmp9xONxCIJgmaBXyaomIBulq6sLo0aNQk1NDYDkr8POzs5UoK6trYXdbsf3v/99NDY2lrOoRESmCwaD+Mc//gGPxwOXy6X6PCN+fLCHrM1yAVkQhNSowWg0imAwmFojNRwOo6urC/X19WhsbMTgwYPLXVwiItM5nU64XC7Nc/JGnKZgQNZmuYAsURoQ4fV6UwO7iIgojfNam8+SATkej6Orq0txdGJ9fT1npCEikhEEAaFQqOj9sIeszXIB2WazIRgMoqamRvVSAV5vR0SUJF1qZsQgOgZkbVVzHbJRPB4PHA5HSa7bIyKqZvLrvjnI1XyW6woKggCfz8dgTESkIXsSFg7qMp/lAnI0GmUwJiLSoDQjGgOy+RiZiIgopdTTk1Ka5XrIRESkzOxgzB6yNgZkIiKCKIqm94wZkLUxIBMRWZwoiujs7IQgCExTlxEDMhGRxUWjUcTjcQwZMsTUYMwesjYGZCIiixNFEX6/3/SeMQOyNo6yJiKyOLfbrbnSE5UGe8hERBZXqrkZ2EPWxoBMREQlwYCsjSlrIiKiCsAeMhGRxRkxLaYe7CFrY0AmIrK4WCyGcDjMUdZlxpQ1EZHFuVwu9PT0oLu7u9xFsTT2kImILM7pdKKhoQGhUAgA4PV6TTuWVXq7hWBAJiIi1NfXw+l0mhqUmbLWxoBMREQA0kG4FD1l6o8BmYiIUswMyuwha7NcQLZKxRIRFcqsoMyArM1yAdnj8ZTsmjsiomqVHZQdDkc5i2MJlgvIgiAgGAyipqaGa34SEWmQB2WPx1P0/thD1ma565Cj0SgcDgcCgQCi0ajic0RRLHGpiIgqk9frhc/nQzgcLnpfUkAu5GYFlgvIAODz+eByuRSDsiiKqoGaiMiKvF4v6uvry12MAc+SAdlut6OpqalfUBYEAZ2dnewhExFlqaurK3of7CFrs2RABvoH5Ugkgo6ODsTjcZ5bJiIyAQOyNssGZCAdlJ1OZ6qn7Pf7S7ZYNxERkcRyo6yJiKg8OMpam6W7goIgpNLUzc3NcLvd6OzshCAI5S4aEdGAw5S1NssGZCkYx2IxNDc3w+PxpNLXHGVNRESlZsmAnB2MpUFcdrsdfr/fMr/GiIj06u3tLXofpewhr1mzBieeeCJaW1ths9nw1FNPZTwuiiKuueYaDB8+HLW1tZg1axY+/fTTot9jMSwZkEOhUL9gLLHZbBxlTUQk093dXXUTg4TDYey///646667FB+/5ZZb8F//9V+45557sHbtWtTX1+OYY45BX19fsW+zYJYb1OV2u5FIJDB06FDVwMseMhFRUnd3N0KhUNVNDHLcccfhuOOOU3xMFEUsWbIEV199NU4++WQAwP/8z/9g6NCheOqpp3DGGWeUsqgplush2+12NDY2shdMRJSDFIx9Pl9FTAwSCoUybpFIpKBybNq0Cdu2bcOsWbNS2xobG3HwwQfjn//8Z9Hvs1CWC8iRSAROp+USA0REeZEHY6OXXyw0II8cORKNjY2pW1tbW0Hl2LZtGwBg6NChGduHDh2aeqwcLBeZOC0mEZE2M4KxETZv3gyfz5f624gVqCqJ5XrIRESkzsxgXGwP2efzZdwKDcjDhg0DAHz77bcZ27/99tvUY+XAgExERADM7xlXysQgY8aMwbBhw/DSSy+ltoVCIaxduxaHHnqoocfKR9UE5La2NkyZMgVerxdDhgzB7NmzsXHjxnIXi4hoQAiHwxWZpi5UT08PNmzYgA0bNgBIDuTasGEDvv76a9hsNixYsAC/+93v8Pe//x3vv/8+zj77bLS2tmL27NllK3PVnEN+9dVXMX/+fEyZMgXxeBxXXXUVjj76aHz00UdVNxyfiKiSxONxhMNhDBo0yNRgXMq5rNetW4eZM2em/l64cCEAYM6cOVi2bBl+9atfIRwO44ILLkBXVxcOP/xwPPfcc6ipqcn7WEapmoD83HPPZfy9bNkyDBkyBOvXr8eRRx5ZplIREVW/WCyGhoYG03vGpQzIM2bM0BzEa7PZsHjxYixevDjvfZulagJytmAwCAAYPHiw6nMikUjGdWqhUMj0chERVRuXy8VMYwWomnPIcoIgYMGCBTjssMMwYcIE1ee1tbVlXLM2cuTIEpaSiKg6lHJuhnIP6KpkVRmQ58+fjw8++ACPPfaY5vMWLVqEYDCYum3evLlEJSQiomyVMsq6UlVdyvriiy/G008/jTVr1mDEiBGaz/V4PAPuwnEiIhqYqiYgi6KISy65BCtWrMDq1asxZsyYcheJiGhAEAShJMcp5aCualQ1AXn+/Pl45JFHsHLlSni93tR8o42NjaitrS1z6YiIqlc0GoXL5TJ90R0GZG1Vcw556dKlCAaDmDFjBoYPH566LV++vNxFIyKqajabDZ2dnYhGo+UuiqVVTQ+Zi0IQEZlDWic+EAigubnZtJ4ye8jaqqaHTERE5rDZbPD7/XC5XAgEAqb1lDnKWhsDMhERwWazoampyfSgTOoYkImICABgt9tNDcrsIWtjQCYiohQzgzIDsjbLBWS3212ya+6IiKqR2T1lUma5gGy32xEKhRiUiYg0ZAfleDxe9D7ZQ9ZmuYAciUSQSCTQ0dHBoExEpEEelKUV9orBgKzNcgFZFEU0NjYiFoupBmUjfgkSEQ0EUlB2OBzlLsqAZ7mADCSXGmtublYMyuFwGLFYrIylIyKqLHa7HT6fr+j9sIeszZIBGUgO7soOyt3d3ejp6YHL5Sp38YiIKordXny4YEDWZtmADGQG5a1btyIUCqGhoaGki3UTEREBFg/IQDIoy9dMrqurK2NpiIgGLvaQtVk+IHd3d6Ovrw81NTWpFU+4kAURkfEYkLVZOjfb3d2NUCgEn88Hr9eLaDSK7du38yJ4IiIqOcsG5OxgDCTT136/H+FwuMylIyKqLEZODFLI66zAkgG5t7cXkUgkIxhLXC6XaWuBEhFVo2g0aujEIIW8zgosdw7Z6XQiHA4rBmOJEcP7iYgGgmg0ikAgwIlBSsByPWSn04n6+nrVYExERElSMHa5XKitrS16f+wha7NcQI7H47y0iYgoB3kwbmpqQl9fX9H7ZEDWZrncLOepJiLSlh2MeRqvNCzXQyYiInVmB2Or9HYLwYBMREQAShOMmbJWx4BMRESIxWIIBoNMU5cRAzIRkcUJgoBQKASPx2NqMGYPWRsDMhGRxUWjUTidTtN7xgzI2hiQiYiqUc8m4P9+k7lt0m+BhjF578pms8Hv9zNNXWYMyGSaq666CkB65jP5OtMulyvjufLpSqUZgdQaB0EQUvflK3NJ2+Xb5Pflv7Ll+5aOJ5+JSP66WCyWui9feETaLi+PfB/yZT3l7086tvx18mPI78tJn598v/L7aut4S5f6RSKR1LZdu3al7vf29ipul54vL08ikVA8BqD8+arVudp96flK27LvOxwOXHbZZarlIf3cbndJeqHsIWtjQCYisrhSBTwGZG0MyFQRlHq1uXrCaq9T6xXLKfXm5L1m+T7kvV75fakc8n3JH5fvT/4c6b6esuXarva5yEnb1T43PcfW2q/Sa6X7auWT35f3upU+G7Xncm5lGmgYkImILE7tB5rR2EPWxoBMRGRx0WgUNTU1ph+HAVkbAzKZRimFnOu5gHLqVS3dmWvfamlj+fZcKWulAWDycuSbslailO7NLocStQFs+Qx2y1UmvY2h0jH1nHZQSkmrff7yueg5Itg4oiiis7MTQ4YM4edaRvzkiYgszu12Ix6Po6OjQ3UsghGkHnIhNytgD5lMk92DVOsVAZmDdZQGdenpIUvHyTWYKvu+Ug9ZTn4MeTmVnp9Pr1hPjzXXQC49g7pyDXbLdTmY2nvO97xjPuXWExSs0kiXgt1uh9/vRzAYREdHh2kThDBlrY09ZCIigsvlQnNzM2KxmOk9ZVLGgExERACSqWszgzJT1tqYsibTaKWstWZ8kh5Te75aqlQpxSYfZJVrUJee639zXU+slopV2rf8PekZqKaUetbTYErPV3sf8s9IPhOW0mAwuez3pPQ8PacM5JTej56Ba2QcKSgHAgHD09dMWWuzXA9ZbXpBIiJKMrunTMosGZDlc/cSEVF/ZgRlpqy1Wa67GI/HEQ6H4fF44PV6y12cAS2flLVS+lFPyjrXqGY9KdNc0zXmup9rdLPac9Ten1qqO9do9VzvT+16annWSKkelNL7QOY1wdllUXq+2ukDJflcX03mkaev1RY9yQdT1tos10OOx+Oor69HKBRCd3e34nP4H52IKEkKylrjPsgYlushA0BdXR08Hg9CoRAAZPSUY7FYxhJ7RERW53a70djYWPR+2EPWZsmADKSDsDwoR6NRdHZ2ZqwxS4XL/k+kNeo4V8o6n6ke1VKsaqs2KY0gVUuNynsJUspWLZ2uNqpb6blq95VS8moTdegZUa50DDml16l9btkp61wj4fVM2KL0ej3rW5P5jBgQy4CsrapS1mvWrMGJJ56I1tZW2Gw2PPXUU0Xtz+v1wufzIRQKoaOjA4FAAE6nM2MxeSIiolKoqoAcDoex//7746677jJsn16vFzU1Nejr64MoivD7/Zb5NUZEVEocZa2tqlLWxx13HI477jhD9xmNRhGJRFJ/9/b2cuFzg2itFmTUpA65RhOrpXSV0qd6RvPK07TSffm2fEY966GUotUzOUau96f2GeWa41stfQ0ojxTPZ45uPTgZSHVjylpbVfWQjRaNRhEIBOByuTB8+HD4fD709PT0OzdGRERktqrqIecrEolk9H6lAVxAZjCWpobzer2Ix+McZW0QqQel59dtrp5PPqs2qQ1oyrUPPT1kpe1qPeRcA7z0rLikVCY9A8e0erJAZm9Wz5ShStuyH5cfP59rtJX2n8/141QaRk4MUsjrrGBA95Db2trQ2NiYuo0cORJAsgHNDsaS+vp6uFyuchWZiKjiCIKQ0aEpBs8fqxvQAXnRokUIBoOp2+bNm2Gz2RAMBhWDsYTzXRMRJQmCgI6ODk4MUgIDOvJ4PJ5+1xR7PB44HA7TFuCmtOzPV+uXbqGDdQqdLlPp2EYMGMpnZaJc035mb89n0Jo8y6N06kBtnITStJx6Uutq5c6Vfld7ndoAvFzXj5OxpGAci8WqamKQRCKB6667Dg899BC2bduG1tZWnHPOObj66qsrusddVQG5p6cHn332WervTZs2YcOGDRg8eDB23313XfsQBAE+n4//mYmINMiDcXNzsyGDXUsVkG+++WYsXboUDzzwAPbbbz+sW7cO5557LhobG3HppZfmffxSqaqAvG7dOsycOTP198KFCwEAc+bMwbJly3TtIxqNMhgTEWnIDsZut7uqrj558803cfLJJ+P4448HAIwePRqPPvoo3n777TKXTFtVBeQZM2bwOsQqUmxqyMxrWJVGS+uZolEpfSpPo6qNzs7n+l614+VzXbDaak5K5ZQ3tPJjK6Xy9U5nqjRaWs//XaXpOuXll9/nfAHmUArGRim2h5w9sEzptCQATJs2Dffddx8++eQT7LnnnvjXv/6F119/HbfddlthBS+RqgrIRERkHjODMVB8QJaulJFce+21uO666/o9/8orr0QoFMLee+8Nh8OBRCKBG264AWeddVZB5S4VBmQDheIhvNj1Ysa2WYNmwef0lalERET6iKJoajA2wubNm+HzpdtTtYWAHn/8cTz88MN45JFHsN9++2HDhg1YsGABWltbMWfOnFIVN28MyGSaQqfOzDXtYq7UslqaNFc6WU/KWiktrHaZXK5pLXNN5Zm9XXq+ntHZucqh9l6VVrOSp7RzreiUTc8od6XPV/6ZykeMq6WvqTiiKKKzsxOCIJgajIvtIft8voyArObyyy/HlVdeiTPOOAMAMHHiRHz11Vdoa2tjQCYiosoVjUYRj8cxZMgQU3vGpRpl3dvb22/wrsPhMGS2MTMxIBMRWZy00l0lpqkLceKJJ+KGG27A7rvvjv322w/vvfcebrvtNpx33nnlLpomBmQyjdKczZLsdGc+KeR8Rtqrpa+VRgvnO5pYadSzPI2aK+2dzzzb2fdzvSd5mlnp/ckfj8Viivel58i36Z2tqdh5xdUmP1G7T8Vxu90lmTK4VD3kO+64A7/5zW9w0UUXYfv27WhtbcXPfvYzXHPNNXkfu5QYkImILK5UP25KFZC9Xi+WLFmCJUuW5H2scmJAJtMo9QQlWj1kqWeW70pBklxTZGbvW2kQmdLjWvdzlUNpMJjatce59qfWE5aTP0c6jloPWb4imlJvWd4r1juoSyl7oGc9ZqXnGpEpIaoGDMhERFQSXH5RGwMyEZHFlWpaTAZkbQzIRFS1rNJQKxnVDPz21Mxtv3nyYXwVyG8/fr8fZ599NqLRKLq6ulSfx3XizceATKaR/gPrOYcsPzeptOyf/HH59lzngvXcl/atdn5Y7RyqdF/tvKra+VOl96E2qEapzGrngtXKLO0731HWuT4XPZO76BkhrXQuXf64Wt0PVHYbMGUcsKUT2Nxh3H6HDQLGDgHe/hyIZw2Wj8fjaGhoQCKRQHd3t3EHzcIesjYGZCKiCjCmBTjhO8BpU5O934feAH79uHH7P/tw4KLvAVs7gSffBv73PeCTrcnH4vE4enp6UrNgmRWUGZC1MSCTafLpIcsp9ejyuS5YbfUitdWBlHq6avfl+5buq12bq3Y8pVHP+VCb6lKtJ6s0OlvtPSn19vWWU2nUudqKV2orZCk9V07tO1GtvLXAMROBH04FpowF6j1ALAHUugGnwYtZOexAjQto9QO/PD4ZnN/7Evj7B8nHesJhJBIJ04MyqWNAJiIqIbsNOGQP4OTvAN8/EGhqSG4P9QLtOwERwG6DzTl2XAC2/2cFwwYPcOgewISxwHNdQHcY+LarG6EQTAvK7CFrY0AmIioBeUp6dEuyB7wrAmzrAhJZnX0bgOMPAGZNUN5XPAHc+kzmtsH1wN8W/OfFCtwOQJ6r6okkb30AbDZgSCPQ2gjsinXj2x7AMcj4oMyArM1yAdkqFVsJtCYGyU435kprq6VmlQZRqQ2QUkufStvV0tRK00nKt6sNOlIb4JXPhCJK5dSzClauqUHV3qvS69QGn2W/j1xlzWfyE7XnqqXdK1V2SrrOkwymXb1AJKb+uh3dQL0bqFUZ2FxfA+zmz9xW5wFGNgHdfUh2sxXsDPfflhCTPwgiAiDak8ccM7gb3XGgocaHcAOwZTvT16VguYDs8XhKds0dEVnTtD2VU9JbdqrGygyRmHbArtFYA2JnT15FzSD8JzADQK29G3YX4Gr0YVgj0B3uK3zH/8EesjbLBWRBEBAMBlFTUzNgVjYhospxyHjgnvOAEYMBQQTaO4Bo5Xfm+4kLgAPd8ACI2H1o9BU/yowBWZvlAnI0GoXD4UAgEFBdiJtz5Jov+zNWut5Wz3XBSmlhtf+88pWYlNKreq49VhqRrHTNb3bZ5JTSsmrX6CqlfNXS4mqUPk89o7Ozj5t9Xw+10wu57uspa6U20ms/BxY+BMyeDBw1AWjxJXvFwV4gHMn58orhsCfPc9fYutEdAzojjeUu0oBnuYAMJEcQ7tq1SzEoi6KIaDRaxtIRUTUTReDFD5K3Zi9w3P7AaQcDE0YC/nogEk8G56jGmTO3E6jTSOA5NBZnGlSn/tiuHKlwmw1wOQC7PZm+7u5LXrf8bagbtfXsIZvNkgHZbrejqakJHR0dGUFZEAR0dnZynVUiMkSgG3jw9eRt392AE78DnDIleS2ww5bsMYd2JVPbckN8yYFfanaEgG3BzG27osnjacWu5gagvTNzm92WDPAeO+C0JX8obOsAvg0CwV3p5wlhhRFhZChLBmSgf1BuampCKBRKTSFHxVOaejH7MYlSKrjQKTDVUsxq6U6lUcj5TBeplm6Wp8jl8wBL9+Xb1JZiVHqv+UyzKaeW6s/1/tRS1tkTn+TTi1GbOlPPiPxq9VF78nbbP4Dp+6RT2sMH9U9piwD+/i5wxaPq+xvVDHx///TfHT3ARcugOpf1opOA+Uen/65zA411QI8IoCv5+m87k/9mX4ZlJKv0dgth2YAMpINyIBBAIJD8Fvv9/qq4nIKIqlMskTul7TQpSee0J49Z4wL6YsAH3wB/+xfgGgt09wAxjXS2EZiy1mbpgExEVE6qKe1BxvdSBTEZ7Hf2ACvXJ3vgG74C/H7g9FHGHosKY+mALAgCOjo6EI/H0dzcjFAohM7OTqasDSJNnCH9utWah1gttSxRS9MqpVP1TCgil2vO5lzzMcu3ydPQHo8ndb+mpqbfdvlz9czdnGtEda40dK5UePbrlEZ1a/VUlOpI7bX5pKz1lHUgkKe0D98L+HKHsft/+A1g/Sbg9Y3J3nE5sIeszbIBWQrGsVgsNairqakJ27dv5yhrIiqbWAJ45SPj9/vNzuStnBiQtVkyICsFYyD569zv9yMUCpW5hAND9oxoWr09pQFHagOk5JR6YGq9abVBTbl6nrnW9FUbvKXWQ5aeo7biUT6DrPRsV7o+24gGTk9vWc+AMKUBbXo/D0vPGdCzCfi/32Rs+snvfws0jMlrNzt37sQTTzyRc7KkQCCA//mf/ymoqKSPJQOyFHCVJgax2WycwYuISKa7uxthAy57Yg9Zm+UCstvtRiKRwNChQ1UDr1Uqn4gol+7uboRCIdTX1xe9LwZkbZYLyHa7HY2NjewFl0D2oBu9aWKldKfadbq5/qOqDfwx4tpi6b48TS3/Xqndz75+N7s8uVY0UhsclWu72ntSe53S4/nSMz2oUlnUvitGp91JmxSMfT6f4veWjGW5gByJRFTPRxIRVY3wZmDHG/235XkOWY08GHu9XvT2akwdphN7yNosF5ksPQiEiEiH7GBsFAZkbZYLyFQ6Uoor19SUaq9TS0+q3VdaKSifqTPVUuTyjIo89aw0Bab8vlomRmlK0Xym+9STvldKFatd+ysvZ64UuZyeFbv0UHoufziXj1nBmHJjQCYiIgDmB2P2kLUxIBMREcLhMHp7e03tGTMga2NAJtNI6V0p7ao2khhQHkmrZ4SunLTPfFc1UkrpqqWplVLW8ufK96GWklYqp9JqV9mkfauNOlYbOS2lp9Um41DbX65Ucr4p61xTl2YfX2tfas+lwsTjcYTDYQwaNIhp6jJiQCYisrhYLIaGhgbTgzF7yNoYkMk0Um9SaRCTVg9Zoue6VTlpn3oWUVDah7zXqDZQS+l6Yvnx1HrF8vvSohtqvWK1HqPUE1falk1pgJeeHrKc9F70rEWd/bdSb1jPftTqVolVGulScLlchkz8kQsDsjaTVt0kIqJqwbkZKoMla2HNmjWpXko2l8uF2tpaLFq0CJ2dnXnt1+F1YNCsQRnbul7sQqJb+ZzgQHfbbbeVuwhEVEHYQ9ZmyYBcMWwARgPYCqCvvEUhIjIbA7I2BuRyGg7gBAACgM8AbATw9X/+HgCkc6/SeUGlkcZqf8tfp3U/17lntXOlSudp1SbLkJ9DzrVUoPy8sDwLI19jW+kcstoIZKX5g+Xb1EaO55pYI59JV9TO/WvVodJkK2qUym2VBrhSaE3UQ6XDgFxONgAuJAPwBAD7AggB+AjAJwA6ylc0IrKOaDQKl8tl+qI77CFrq7pBXXfddRdGjx6NmpoaHHzwwXj77bfLXaTi9QHo/s+/PgCHAfgxgNORDNQ16i8lIiqWzWZDZ2dnRibHrOMUeqtEgiDgL3/5i2H7q6oe8vLly7Fw4ULcc889OPjgg7FkyRIcc8wx2LhxI4YMGVLu4vUjQkTi5ASgdjWBDZk/iRIApDXA3QBG/uc2HVWZ0i525KaepfaUnqNn6cR8UtZqy85J+1BLU6vdl56vlcJXIr0XPZdWKZVTT3pbad9qx8g+nlKaPNf82tn3lSaFyTVZCRVPWic+EAigubmZy9PqZLfbce+99+K8884zZn/5vmDOnDlYs2aNIQfP12233Ya5c+fi3HPPxb777ot77rkHdXV1hv5CMZQNQBOABiR7udk3D4AIlANsFMlecw8AB5I95R8AOBfAof/ZLxGRAWw2G/x+P1wuFwKBgGk95YHWQwaAgw46CHfeeach+8q7CxMMBjFr1iyMGjUK5557LubMmYPddtvNkMJoiUajWL9+PRYtWpTaZrfbMWvWLPzzn/80/fhFiSIZeAshIpnK7kMyMEsp7alIjs7+N5Lnmwvdv4mye6x6B44orQ6Va3pFtdepTTSRa+IMtdfJ9y31EOU9ZLX7uQafqR1Dqfcq369amZV6w3qm6lS6n897yi6LnhWmlHrLeiZ3YW/ZWDabDU1NTejo6DCtpzwQzyF/8803ePbZZ3Hrrbdi2rRpmDhxIiZOnIgTTjgh733l3UN+6qmn0N7ejnnz5mH58uUYPXo0jjvuODz55JOq1/YaIRAIIJFIYOjQoRnbhw4dim3btim+JhKJIBQKZdyqmpTSDiFZc+MBfBfAkeUsFBENFHa7HU1NTab3lAeSlStX4osvvsAHH3yAn//852hpacGLL75Y0L4KGtTV0tKChQsX4l//+hfWrl2L8ePH4yc/+QlaW1tx2WWX4dNPPy2oMEZra2tDY2Nj6jZy5MhyF6k4dgB1SPaSRSTPJ78G4I1yFoqIBhKzg3K1p6tnzZqFZ599tt/2uro6HHzwwfjpT3+KJUuWFLTvokbdbN26FatWrcKqVavgcDjw/e9/H++//z723Xdf3HLLLbjsssuK2X2G5uZmOBwOfPvttxnbv/32WwwbNkzxNYsWLcLChQtTf4dCIdxyyy3o6yvxLBwuJM8nKxGQTGmrsSE5wMuNZBAOA/gYyQFeyomBipGdqtYapKWUCs53lZ9c/3HVVkNSSq+qpUyVUrryzFCulZrk99XSr2rzWisNzpKnkNWOp5Sy1jMwTGlQl9rAMCD3ADt5mlrtfq7VnrSOT8aRgrI8fW2EgZCyXrduHUaPHg0A+OqrrzBq1CgAwJ/+9Ce89tprePDBBwved9495Fgshr/+9a844YQTMGrUKDzxxBNYsGABtmzZggceeAAvvvgiHn/8cSxevLjgQilxu92YPHkyXnrppdQ2QRDw0ksv4dBDD1V8jcfjgc/ny7jZ7Xb4/f7SVLCIZHo5imTgVbrVQLkWXEgOBmv4z9+fAvhfAH8B8CoqPhgTUXXL7imr/fizmmg0mloVa+LEifjiiy8AANOmTcuIT4XIu4c8fPhwCIKAM888E2+//TYOOOCAfs+ZOXMmBg0aVFTBlCxcuBBz5szBQQcdhKlTp2LJkiUIh8M499xzde8jEomgvr4ezc3NCAQCpv7KtsEGx5MO9bmsdwPwI9nfdiQDtAPJ88XbkZwk5FMkR1xXGWkQj1LPTk8PWa2nKKfU01Ub6JTrUptc5cm+LzVQajNuKa1JnH1f6XW5BlHJy6DWk1farta7zKfXqfVDVunzVfvM1T4PpYFuaoMBObuU+eQ95WAwWPT+BkIPeY899sDbb78Nr9eLcDic+ly8Xi927txZ1L7zDsi33347TjvtNNTUqM9WMWjQIGzatKmogin50Y9+hB07duCaa67Btm3bcMABB+C5557rN9BLiyiK6OzsxKBBg1SDcslXPvEgWRNVlpImooFPCspqg2fzMRAC8iWXXIK5c+di9OjRmDRpEv785z/jzjvvxGuvvZZXLFKSd+T5yU9+UtQBi3XxxRfj4osvLmof8Xg8dV4kOyjX19eXLiCLAKTTj58ieQnTl7JtREQVwG63w+fzlbsYFeGnP/0pBg8ejE8++QRz587FGWecgbFjx2Lr1q1Fx6aqmqnLSLFYrF9QbmhoQENDA3p7e0tTiG0AXgCwBVWZkiYi61C7bj4fA6GHDACnnHJK6v6zzz6LFStWIBqN4owzzihqv5YNyEBmUG5tbQUA9PT0lO7clIBkanqA0jqHrDVARGkCDD2jl6XMhp4pGpUaF7Xzxrkm/lA7p5vrHLK8DGrny5VWV9IzIjvXOWQ1Sp+dPGOktQ+l96vnvL3SfT1jOzjKuvoMlIAs53Q6cdpppxmzL0P2UmWOPPJI1NXVpf7u6OhIXQrV3NyMSCSCG2+8EYMHD85rv6F4CC92ZV4QPmvQLPic1kz1PPDAA+UuAhFR1bBkQJbr7u5GX18fampqEIlE0NnZidra2nIXa0DI7iHLe3Na6S+pF6bWS1U6hto+9az7m6sHr7QwhLx8aj1TPdN2FlJOOT0jpHP1JHNdn51rcQ0lSotE6FnQQulxvddBU+UbiD1kI1k6IHd3dyMUCsHn88Hr9SIajWL79u2cLo6IyAQMyNqqbj1ko2QHYyA5+Yjf7+cvbyKiLJwYxHyW7CH39vYiEolkBGOJy+XiWqAGUVp9Kddz5feNSMfqWVNZKaWuZ1BXrilBc6Vo5c/Vs1ZxrsfzWQVLz+eSz5Si2X8rDUBTOyWgVC496W1ODFI60WiUE4OUgOUCstPpRDgcxuDBg/sFY4kRw/uJiAaCaDSKQCCgOpYgHwzI2iwZkOvr61WDMRERJUnB2OVycbBrCVguIMfj8YxLnsg82dfpqqWEgcLnU861uL2c2n6lY6utgKSWGlUaSax2bKV9qKWsc6Wvc6W09TxHz4pZSp+nVvZI6XpstTS12jXYua4P1/PeyRjyYNzU1GTIKnml7CG3t7fjiiuuwLPPPove3l6MHz8e999/Pw466KC891UqlgzIRESkLjsYG3Uar1QBubOzE4cddhhmzpyJZ599Fi0tLfj000/h9/vzPnYpWS4gExENCPUjgZbD+m8rklnBuJRuvvlmjBw5Evfff39q25gxY8pYIn0YkMk00vXcUkpSPsGG/L78OYByKlLPMn5Ko4LlcqU+1VKguRqkfCf1yDU6ONdSk3qWUVR6jtoo61wp+VxLVSpRmtxFbWlKpf1bZRBPpTE7GJeqh/z3v/8dxxxzDE477TS8+uqr2G233XDRRRdh7ty5eR+7lKrvpw8RERlOmtvfzJ6xFJALuQFAKBTKuEUiEcXjfPHFF1i6dCn22GMPPP/885g3bx4uvfTSip/OlwGZiMjiBEFAZ2dnxaepR44cicbGxtStra1N8XmCIOA73/kObrzxRhx44IG44IILMHfuXNxzzz0lLnF+mLIm00ijMpVGWWenrPOZcENp5SQgd2o5n8lF5PuSP55rvmy1/Srdz2eks9rr1NLUWiPas+UzilytnGpl0ZOyVvp89abJrZzaHtUM/PbUzG2/efJhfBXIbz9+vx9nn302bDYbtm/frvr/xOVyFVjStGJT1ps3b85Yl9nj8Sg+f/jw4dh3330ztu2zzz7461//mvexS4kBmYiogthswEFjgK1dwDc7jdvv0EZg7BDg7c+BRNZvMEEQEAqFTL+UrNiA7PP5MgKymsMOOwwbN2aubfvJJ59g1KhReR+7lBiQyTTSoC6l9Y2zLz/Ldd1vroFcQO4VhnJR6xXr7SFmv05toFquHnmu65r1HCPXOsq5pssE0nWkt2xKx8xnStDsY+k55kAyugU44UDgh1OBsS3AQ28Av37cuP2ffQRw0SygvRP469vA0+8Bn25LPhaNRgfUdd2XXXYZpk2bhhtvvBGnn3463n77bdx333247777yl00TQzIRERl4q0FvjcBOGUKcMh4oM4DJBJAjRtwFj9TZQanHah1A7s3Ab86Abj4aODdTcDfPwAcJfqdU6pR1lOmTMGKFSuwaNEiLF68GGPGjMGSJUtw1lln5X3sUmJAJiIqIZstGXxP/E6yR9zUkNzevQvYshMQAew22JxjxwXg2/+sEdFQAxy2JzBxHPBcFxDqAbZ3ATvDgFmd5VLO1HXCCSfghBNOyPt15cSATKaR0qlK6cvstLRSOlVtIJfaNcnFjgzVO0Wk0vMlStNHAvkN6spncJraZ6qUflcbVKW2b6XXaU1zmStNrme1Kel+rtMS1Sg7Je12Ar3RZIDMPqdrA/D9A4Cj9lPeVzQO3P5s5jZ/PfDXBerHdzsyL6vp6Uve+mzJHwlDBwG7DQJ2RZPnr78NAmHlq4rIJAzIREQmUUtJd/UCfTH11wW6k8+tU1kJtt4D7Obvv233pmSQVevg7gz335YQgIjghk3og/iftPa4ockfEMFeYFsXsD2k593qU80/qszGgExEZLBD99BOSefSF9MO2DUaVyB19ORVVACACDt64YdD2A5BSJbQ6QAG1ydvewwDvu3Of7/ZuPyiNgZkIiIDHTIeuPd8YMRgQBCB9g4gqn0peNk5EUEE9QijGfUIwAYR8QQQTyTT2bVuoLWy12UYEBiQqWS0Ll9ROuepdqmTEZOB5PrFrXb+N9clOPn8ktdTtlz707MP6fPSs8RlPssfao0DKHYJTbWxAdXQU1r7OfCLh4HZBwGz9gNaGgFRAIK7KvecrA0iatGJPgxKBWWnXYTTkQzI0TgQUEh3530c9pA1MSATERlIFIFV7ydvLb7k4KxTpwITRiQHXkXiQDCs3Wt2O9XPHwOAQ+N36CCN5d53xYCISircgTgaEECvrRl9tmb4bAH09InY0gVsDwJGdPIZkLUxIJNptHqv8l6u2nP1jLJW6snqmeBA6Tl6enhGTJ6Qz7GVesvy9y+fzlD+GTmd6f/auaaxVJNPb1np72y5esVA+j3oGT1fDRNZ7AgBD6xJ3iaMBE48EPjBFKB1EGC3A+E+ILQrmdqWG+JLDvxSE+gGvs0aaLUrmvv8cXNDcmIQOZstGeA9DsCFGBALIBBtxtZdzdiyLZD6nA2YOZNyYEAmIiqBDzYnb3/4BzB9n3RKe7i/f0pbBPD3d4ErHlXf36hm4LhJ6b87eoCLlkF1LuurTgYu+l7671p3sjfdIwLoAjq6k9chB7pjsDsCaG5uRnNzMwKBgGE/fthD1ma5gCzvORARlVo0njul7TRhsSVRTO632ZscpR2JAR+2Ayv+BTjGAN09gLTmS0JILsUoD8pGYEDWZrno5HQ60dvbi7o6jRMtZAgp/Vjof6Z8J/1QSlnrmb9ZiZ6Ubj5zZyulnvWUJ595r9VS1tI+1FLWuQZ7qQ0y0+o15Sp3rrnJc52WGCjUUtrDB/WfLKRYgpj8MdAZBlauT/bAN3wFDBoEnL57/+dL6yNLQTkYDBpbIOrHcgE5Ho8jHA7D4/HA6/WWuzhERAAyU9qH76Weei7UI28C734JvL4xeb5ZD3lQ9vuLv+6JPWRtlgzI9fX1CIWSIyKUgrKe3hHlpnVpk57X6bncRal3p7YCklbZsukZ4JVPT1etJ6v0eK5jq/VYc31eetZLzufSJa3LnvIpq9L9QrMHA0E0Drz8ofH73dyRvOVLCsotLS1Fl4EBWZvlAjIA1NXVwePxKAblWCyWWjaQiCrbQA3KuvRsAv7vNxmbfvL73wINY/Lazc6dO/HEE0+gpqYGbrf6tVZSe0nmsWRABtJBWB6Uo9EoOjs74fF4ylk0IqKKY8SAWPaQtVk2IAOZQTkajSISicDpdGr+SiQiosIwIGuzdEAG0j3jvr4+AIDf70ckUqHz21U5velFpXOzaudYlc6LxuNxxceVjpF9X0k+55DV7iudN9ZzvFwjoOX7VTternLKz+EqfV6FjFrP53xyrhHoase3dLqaBiTLB2SpZyzp7e3Nq/EkIiJ92EPWZumAHI1GEQgE4HK50NTUhHA4jK6uLtTX15e7aANC9nXBWr29fKZdVLuGNlcPOdeUlGr/6XMtxKB2Ta0RI6DVtis9rlQ2eZn0jHJXWuRDTr4tuzxKvddCMxRqWYJcnwdVNgZkbZYNyNnB2G63w+v1Ih6Pc5Q1EVEWXg5qPksG5Hg8jq6uroxgLKmvr+e5KSIiGUEQDLnsiT1kbZYLyDabDcFgEDU1Nf2CsYTzXRsjO2Wtle5Uep2e6ROVJrjQM+lFrlWU8qHWWOSzpq+eNYel9yLflk+KXM+grlz0TpepVOf5DNRS+wzkpyOYsi4NQRDQ0dFhyOfNgKzNcpHH4/HA4XCoBuNi+Jw+nNJ8iqH7JCIqFykYx2IxNDY2lrs4A57lArIgCPD5fIYHYyKigUQejJubmzOyE4ViD1mb5QJyNBplMC4RrZR1dupTnpaU/vPpSXcqpafVRuKq7U/p+6DnmlmlUdZ67iuVR0/KWrqvNrhGnr6Wv+985ocudFWq7HJJx9QzHkPp/arVsTwoGBEgSFl2MHa73QzIJVA1kemGG27AtGnTUFdXh0GDBpW7OEREA5JSMKbSqJqAHI1Gcdppp2HevHnlLgoR0YBkdjCWesiF3KygalLW119/PQBg2bJl5S0I6ZadYlWb4AHIPdJWbcKKXJNX5EPPRB7ytLB0Xz4qX/642qkRpWUi1T6bfKaKVHuudJx8JwZRagS1Uv3y966UelajVFa10w5MWZtHFEXTe8ZMWWurmoBciEgkkjEtJpcPIyLqTxRFdHZ2QhAEpqnLqGpS1oVoa2tDY2Nj6jZy5MhyF4mIqOJEo1HE4/GSBGOmq9WVNSBfeeWVOSvi448/Lnj/ixYtQjAYTN02b95sYOkpl0QigUQiAUEQ+t1EUcx5k1PbLid9Z+x2e143h8PR7+Z0OlM3l8uleHO73XC73Rnb5K+Tf4/l5Zc+l3g8nrrFYrHUTb5d/rpc70/t85JuSvWg55br81Yql9JnqlZupTJKn1Guz4mMIYoi/H5/RQZjKwXlsqasf/GLX+Ccc87RfM7YsWML3r/H44HH4yn49UREViD9sKTyKmtAbmlpQUtLSzmLQCaKxWIAck+HmC3XYKJcqzLJBxepDXRSukZYacAWkDloS2kAl9pgKbVBW9LnIv2r9dxc6wrnutZZvo98B7vluh48m9IKU3qmy1R6v2rTn2oNDKTClWpuBg7q0lY1g7q+/vpr7Ny5E19//TUSiQQ2bNgAABg/fjwaGhrKWzgiIsqJAVlb1QTka665Bg888EDq7wMPPBAA8Morr2DGjBllKhUREZExqiYgL1u2jNcgVxkp1ZhvylRpykY9U1Lms9C9EVNgKk1JmetaYCB9/azaNbW5pvjUM61nrh5FPqswqaWG9aSv1fattk+l7flci02FKdUAOfaQtVVNQCYiInPEYjGEw+GSjbIu5HVWMKCvQyYiotxcLhd6enrQ3d1d7qJYGnvIVBGU0q1Ko3aztyvtQ+9o7mz5rr6kVJ5cKzXJ7+sZWZ3PSlT50PM6qUxqaed8j6On3LlOH8i/B2Qcp9OJhoaG1GyGXq/XlOOwh6yNAZmIiFBfXw+n02lqUGZA1saATEREANJB2OyeMiljQCbTSJNoKK32lJ36VBpNrDY5h1raMlfKWk86Wem5aqOlldKrcnpWcFJS6MjpfF6nVga1kehKr8t+PNeELmrblVLSauVj+tp8ZgZl9pC1WS4gW6ViiYgKZVZQZkDWZrmA7PF4OCk9EVEO2UGZGQnzWS4gC4KAYDCImpoarvlpMmmyeinNK0/3aqVtlVLBavNMK/1ylqddc83vLL+vltKWl1t+PKW5rNVGXOczJ7Wc0sQn+Y6yzvUctXS60ueiN2Wdq6x63rvSc+V1z7mszScPykYs1MMesjbLXYccjUbhcDgQCAQQjUYVn8PZgIiIkrxeL3w+H8LhcNH74vKL2izXQwYAn8+HXbt2IRAI9FuQWxRF1UBN+ZE+V+kUgfw/lbzXmS3XtajyAV5y0g+pfKbWBPLraSm9B7VrpNWu31W6zjrXdbl6Xlfo1Jm57ud6H1rl1lMXSj1gtR40V3sqD6/Xi0gkUu5iDHiW6yEDyf/gTU1NcLlcGT1lQRDQ2dnJHjIRUZa6urqi98EesjZLBmSgf1CORCLo6OhAPB7nuWUiIhMwIGuzZMpaIgXlQCCAQCAAAPD7/ZrpVNIv+4eN1iCnXCndfNLCaoO+ih3clE0qh/x18nR6rik+1QaAqaVrCx3UlYue67aVjqc1qCvXCl+5Uu1q9c2Vn2ggs3RAJiKi0uEoa22WDsiCIKTS1M3NzQiFQujs7ERDQ0O5izYgXHLJJeUuAhFVEAZkbZYNyFIwjsViqZHWTU1N2L59O0dZE1HlaxgDTHuo3KUgA1lyUJdSMAaS56r8fr9lfo0REenV29tb9D44qEubJXvI0lRw2dcgA8kvDEdZExGldXd3GzoxSCGvswLL9ZDdbjcSiYRiMJZYpfKJiHLp7u5GKBRCfX19uYsy4Fmuh2y329HY2MheMBFRDlIw9vl8hiwuwR6yNssF5Egkojr1IhERJcmDsdfrNeQcMmCd4FoIy6WsOZkAEZG27GBMpWG5gExEROrMDMblGmV90003wWazYcGCBca8EZMwd0tERADM7xmX4xzyO++8g3vvvReTJk0qeB+lwh4yEREhHA4PuDR1T08PzjrrLPz3f/83/H5/uYuTEwMyEZHFxeNx9PT0mB6MS52ynj9/Po4//njMmjXL4HdiDqasiYgsLhaLoaGhwfSecbEpa2lSJ4nH44HH41F8zWOPPYZ3330X77zzTv4FLRP2kImILM7lclXFxB8jR45EY2Nj6tbW1qb4vM2bN+PnP/85Hn74YdTU1JS4lIVjD5mIyOJKNTdDsT3kzZs3w+fzpbar9Y7Xr1+P7du34zvf+U5qWyKRwJo1a3DnnXciEokYMtGJ0RiQiYioJIoNyD6fLyMgqznqqKPw/vvvZ2w799xzsffee+OKK66oyGAMMCATEdEA4/V6MWHChIxt9fX1aGpq6re9kjAgExFZnCAIJTkO57LWxoBMRGRx0WgULpfL9EV3yhmQV69eXfQ+zMZR1kREFmez2dDZ2YloNFruolgaAzIRkcW53W44nU4EAgFTg3K55rKuFgzIREQWZ7PZ4Pf74XK5TA3KDMjaGJCJiAg2mw1NTU2mB2VSx4BMREQAALvdbmpQZg9ZGwMyERGlmBmUGZC1WS4gu93ukl1zR0RUjczuKZMyywVku92OUCjEoExEpCE7KMfj8aL3yR6yNssF5EgkgkQigY6ODgZlIiIN8qAcDAaL3h8DsraqCMhffvklzj//fIwZMwa1tbUYN24crr322oLSKKIoorGxEbFYTDUoG/FLkIhoIJCCcqUuyDCQVMXUmR9//DEEQcC9996L8ePH44MPPsDcuXMRDodx66235r0/p9OJ5uZmBAIBdHR0oKmpCXZ78rdJOBxGLBYz+i0QEVUtu92ua5WlXDiXtbaqCMjHHnssjj322NTfY8eOxcaNG7F06dKCAjKQHNyVHZTD4TB6enqqYqFuIqJSkjotxWBA1lYVKWslwWAQgwcPLmofUlCOxWLYunUrQqEQGhoaSrZYNxERkaQqI89nn32GO+64I2fvOBKJIBKJpP4OhUL9nuN2u+HxeNDX1wcAqKury3gNEREZgz1kbWXtIV955ZU5R9Z9/PHHGa9pb2/Hsccei9NOOw1z587V3H9bWxsaGxtTt5EjR/Z7Tnd3N/r6+lBTU5Na8UQURUPfJxERJXGEtbqy9pB/8Ytf4JxzztF8ztixY1P3t2zZgpkzZ2LatGm47777cu5/0aJFWLhwYervUCiE3/3ud6m/u7u7EQqF4PP54PV6EY1GsX37dl4ET0REJVfWgNzS0oKWlhZdz21vb8fMmTMxefJk3H///boGGHg8Hng8HsXHsoMxkExf+/1+hMNh/W+CiMgCjJwYpJDXWUFVnENub2/HjBkzMGrUKNx6663YsWNH6rFhw4blvb/e3l5EIpGMYCxxuVxwu91Fl5mIaKCIRqOGTgxSyOusoCoC8qpVq/DZZ5/hs88+w4gRIzIey/d8r9PpRDgcxuDBg/sFY4kRw/uJiAaCaDSKQCDAiUFKoCoizznnnANRFBVv+XI6naivr1cNxkRElCQFY5fLZejEIBzYpawqeshGisfjqKurK3cxiIgqmjwYNzU1pS4NLQZT1tqqoodsJM5TTUSkLTsY8zReaViuh0xEROrMDMbsIWtjQCYiIgDm94wZkLUxIBMREWKxGILBINPUZcSATERkcYIgIBQKwePxmBqM2UPWxoBMRGRx0WgUTqfT9J4xA7I25iSIiCzOZrPB7/czTV1m7CETEVmc2+0uSS+UPWRtDMhERBZXqoDHgKyN+QkiIqIKwB4yEZHFFbIuQCHYQ9bGgExEZHHRaBQ1NTWmH4cBWRtT1kREFieKIjo7OyEIQrmLYmkMyEREFud2uxGPx9HR0WFqUObyi9oYkImILM5ut8Pv9yMWi5kalBmQtTEgExERXC4XmpubTQ/KpI4BmYiIACRT12YGZfaQtTEgExFRiplBmQFZm+UCstPJK72IiLSY3VMmZZYMyL29veUuBhFRRTMjKLOHrM1yATkejyMcDqO7u7vcRSEiqmjyoBwKhQzZJ4OxOksG5Pr6eoRCIdWgzPQMEVGSFJQTiUS5izLgWfKEal1dHTweT+oXn9frTT0Wi8UQjUbLVTQioorjdrvR2NhY9H44daY2SwZkIB2E5UE5Go2is7MTHo+nnEUjIqo4RgyIZUDWZtmADGQG5Wg0ikgkAqfTCbfbXeaSERGR1Vg6IAPpnnFfXx8AwO/3IxKJlLlUREQDD3vI2iwfkKWesaS3txcOh6OMJSIiGpgYkLVZbpS1XDQaRSAQgMvlwvDhw+Hz+dDT04N4PF7uohERkcVYtocsD8ZNTU2w2+3wer2Ix+McZU1ElMXIiUEKeZ0VWDIgx+NxdHV1ZQRjSX19PURRLGPpiIgqiyAIhkwMwoCszXIpa5vNhmAwqBiMJZzvmogoSRAEdHR0cGKQErBc5PF4PHA4HKrBmIiIkqRgHIvFODFICVguIAuCAJ/Px2BMRKRBHoybm5sNGezKgKzNclEpGo0yGBMRacgOxpwsqTQs10MmIiJ1ZgZj9pC1MSATEREA83vGDMjamLslIiKIosg0dZkxIBMRWZwoiujs7DQ9GEs95EJu+Whra8OUKVPg9XoxZMgQzJ49Gxs3bjTlPRmJAZmIyOKi0Sji8bjpPeNSBeRXX30V8+fPx1tvvYVVq1YhFovh6KOPRjgcNumdGYPnkImILE4URfj9/gGTpn7uuecy/l62bBmGDBmC9evX48gjjyxTqXJjQCYisji32w2Xy2X6cYod1JU9fafH44HH48n5+mAwCAAYPHhw3scuJcsFZLvdrrmARCwWQzweT1UgEdFAFgwGIQgCYrGY5vMqYWKQkSNHZmy/9tprcd1112m+VhAELFiwAIcddhgmTJiQ97FLyXIBedCgQejo6FCdHEQQBIiiiH/84x+657QWRRF9fX0AAIfDUba0TzQaTc03W1NTU5ZLBQRBSK0v7fF4yjIJC+sjjfWRxvpIyq4Pu92Orq4u2Gw2zfIYsdpTsTZv3gyfz5f6W0/veP78+fjggw/w+uuvm1k0Q1RNQD7ppJOwYcMGbN++HX6/H7NmzcLNN9+M1tbWvPYj/SfU+uKJogiPx6MrhSONTozH43C73di1axccDgfq6+vzKlexwuEwdu3aBY/Hg2g0mjonVMpGJxaLIRQKweFwAAB6enrg9/tLkgqTsD7SWB9prI8kpfqora2F3W4vSUAutofs8/kyAnIuF198MZ5++mmsWbMGI0aMyPu4pVY1AXnmzJm46qqrMHz4cLS3t+OXv/wlTj31VLz55pt570vPF8/lcuX8JS9dRC8IAoYMGQK3243u7m6EQiE4nU54vd68y1aI7u5u9Pb2YtCgQfB6vam1nkOhUMkW0YhGowgGg/B4PGhqagIAdHR0IBgMluyaRtZHGusjjfWRpFYfXV1dSCQScLvdmp+FET9eSjUxiCiKuOSSS7BixQqsXr0aY8aMyfuY5VA1lz1ddtllOOSQQzBq1ChMmzYNV155Jd56662c5z3Mojajjdfrhc/nQygUQnd3t+nlkBo4n8+XauDcbjeam5sRi8VS/wHNJDVw8iUt7XY7mpqa4HK5EAgEVM/ZG4X1kcb6SGN9JGnVR0NDAwRBML0MpTR//nw89NBDeOSRR+D1erFt2zZs27YNu3btKnfRNFVNQJbbuXMnHn74YUybNk0z3ROJRBAKhTJuRsg1vVypGh2lxkZSqkZHqbGRlKrRYX2ksT7SWB9Jueqjvr4edrsdiUQidX7bLKW6Dnnp0qUIBoOYMWMGhg8fnrotX77cpHdmjKoKyFdccQXq6+vR1NSEr7/+GitXrtR8fltbGxobG1O37BF6hdA716vZjY5WYyMxu9HRamwkZjc6rI801kca6yNJb304nU44HA7E4/GKDMr5EkVR8XbOOecY/4YMVNaAfOWVV+asiI8//jj1/MsvvxzvvfceXnjhBTgcDpx99tkQRVF1/4sWLUIwGEzdNm/eXFR585143axGR09jIzGr0dHT2EjManRYH2msjzTWR1K+9eF2u+F0OksSlElZWQd1/eIXv8j5i2Xs2LGp+83NzWhubsaee+6JffbZByNHjsRbb72FQw89VPG1ei8a16PQVVCkBkFKlxc7kCWfxkYiNTqBQAAdHR1FD2TJp7GRSI1OR0cHAoFA0QNZWB9prI801kdSofUhtZfSNcdGtZ8SrvakrawBuaWlBS0tLQW9VvolW4pfcsUuSWZUo1NIYyMxqtEppLGRGNXosD7SWB9prI+kYuvDzKDMgKytKs4hr127FnfeeSc2bNiAr776Ci+//DLOPPNMjBs3TrV3rCbfijVqfdBi03PFNDaSYtNzxTQ2kmLTc6yPNNZHGusjyaj68Hg8TF+XQVUE5Lq6Ovztb3/DUUcdhb322gvnn38+Jk2ahFdffTXvX292u133fzSjF+sutNExorGRFNroGNHYSAptdFgfaayPNNZHktH1YUZQLtUo62pVFRODTJw4ES+//LJh+4vH43A4HJpTYxr95Zbkm54zsrGR5JueM7KxkeSbnmN9pLE+0lgfSWbVhzx9bcT7YspaW1X0kI0kzWUrrf+pRBAEdHV1mbZYt96egBmNjURvT8CMxkaitydgVmMjYX0ksT7SWB9pUk+5EuayHugsF5ABwOVywWazKQZlURSRSCRMX6w7V6NjZmMjydXomNnYSHI1OmY3NhLWRxLrI431kWbUQhhMWWuzZEC22WzweDz9grK0EkupFutWa3RK0dhI1BqdUjQ2ErVGp1SNjYT1kcT6SGN9pOld/U4LA7I2SwZkIPklzw7KUjB2Op0lW4Elu9EpZWMjyW50IpFIyRobSXajE4lEStrYSFgfSayPNNYHlUpVDOoyixSU+/r6UqMI3W53yX+NZQ9kKWVjI5EanR07dpS8sZFIjU4gEEAgEACQvFa91I0N6yOJ9ZHG+jAGB3Vps3RAJiKi0mFA1mbZlDWQPmcMpActRKPRko8mlKfhSrk0nZx0TkzqCcTj8ZIsTScnnROTD6grxdJ02VgfSayPNNYHlYJlA7J8AJc0qbp0Tjkej5dsneXsc2KlXi8W6D9AxePxlHS9WKD/ABVpIfdSrRcrYX0ksT7SWB/G4aAubZYMyKIo9gvGQOZAr87OTtO/5GoDVErZ6KiNFi3lIu5qo0VLvYg76yOJ9ZHG+khTm7chHwzI2iwZkGOxWL9gLLHZbKlZvMz8kucaLVqKRifXpRulaHRyXbpRqkaH9ZHE+khjfaRFIhFODFIClgvIDocDABSDscRut2PQoEGmfcn1XrphZqOj9zpKMxsdvddRmt3osD6SWB9prI+0SCRi+NSZ7CErs1xABpIXuOe6yN2sL3m+11Ga0ejkO6mBGY1OvpMasD7SWB9prI8ks+pDCsZ62kw9GJC1WS4gC4Kg+5ee0V/yQic1MLLRKXSGISMbnUJnGGJ9pLE+0lgfSUbXhzwYG7kmMqmzXEAWRTGv5xv1JS92hiEjGp1ip/szotEpdro/1kca6yON9ZFkVH2YFYzZQ9ZmuYBciGK/5EZN91dMo2PU3LvFNDpGzb3L+khjfaSxPpKKrQ8ze8YMyNoYkHUq9Etu9Ny7hTQ6Rk+EX0ijY/RE+KyPNNZHGusjqdD6YJq6vBiQ85Dvl9ysifDzaXTMWpUmn0bHrFVpWB9prI801kdSvvUhLbJjZjBmD1kbA3Ke9H7JzV6VRk+jY/YScXoaHbOXiGN9pLE+0lgfSXrrIx6PI5FImN4zZkDWxoBcgFxf8lItEafV6JRqvVatRqdU67WyPtJYH2msj6Rc9REOhyEIAhwOB9PUZcaAXCC1L3mp12tVanRKuXg6oNzolHrxdNZHGusjjfWRpFUfPT09sNvtJVnGkT1kbVx+sQjSl7yjowOBQCC1tnKp12uVrxcbjUYRiURKvl6r1OjI12qVr0pTCqyPNNZHGusjSa0+GhoaUmtNm63Q4MqAPABJ1yALgqC6mpP0HGm0oR61tbXo7e1FLBaD2+2Gw+FAb2+vMYXWyeFwwG63o6enB0ByEfe+vr6SlgEA6urqEAwGAQCNjY2Ix+OGTEqfD9ZHGusjifWRll0fTqcTgiBAFEUkEgnV10np9nzncpArNPCX6gdDudnEYj7dKvPNN99g5MiR5S4GEVHV2rx5M0aMGJHXa/r6+jBmzBhs27at4OMOGzYMmzZtQk1NTcH7qHSWCsiCIGDLli3wer2w2WwIhUIYOXIkNm/eDJ/PV+7iGWqgvreB+r6AgfveBur7Agbue1N6X6Iooru7G62trQWl+vv6+oqaztPtdg/oYAxYLGVtt9sVf9n5fL4B9Z9JbqC+t4H6voCB+94G6vsCBu57y35fjY2NBe+rpqZmwAfUYnGUNRERUQVgQCYiIqoAlg7IHo8H11577YC8GH6gvreB+r6AgfveBur7Agbuexuo76vSWWpQFxERUaWydA+ZiIioUjAgExERVQAGZCIiogrAgPwfJ510EnbffXfU1NRg+PDh+MlPfoItW7aUu1hF+/LLL3H++edjzJgxqK2txbhx43DttdcWdYF+pbjhhhswbdo01NXVYdCgQeUuTlHuuusujB49GjU1NTj44IPx9ttvl7tIRVuzZg1OPPFEtLa2wmaz4amnnip3kQzR1taGKVOmwOv1YsiQIZg9ezY2btxY7mIZYunSpZg0aVLq+uNDDz0Uzz77bLmLZRkMyP8xc+ZMPP7449i4cSP++te/4vPPP8epp55a7mIV7eOPP4YgCLj33nvx4Ycf4vbbb8c999yDq666qtxFK1o0GsVpp52GefPmlbsoRVm+fDkWLlyIa6+9Fu+++y72339/HHPMMdi+fXu5i1aUcDiM/fffH3fddVe5i2KoV199FfPnz8dbb72FVatWIRaL4eijj0Y4HC530Yo2YsQI3HTTTVi/fj3WrVuH7373uzj55JPx4Ycflrto1iCSopUrV4o2m02MRqPlLorhbrnlFnHMmDHlLoZh7r//frGxsbHcxSjY1KlTxfnz56f+TiQSYmtrq9jW1lbGUhkLgLhixYpyF8MU27dvFwGIr776armLYgq/3y/+6U9/KncxLIE9ZAU7d+7Eww8/jGnTpsHlcpW7OIYLBoMYPHhwuYtBSPby169fj1mzZqW22e12zJo1C//85z/LWDLSS1q9aaD9n0okEnjssccQDodx6KGHlrs4lsCALHPFFVegvr4eTU1N+Prrr7Fy5cpyF8lwn332Ge644w787Gc/K3dRCEAgEEAikcDQoUMztg8dOrSolXGoNARBwIIFC3DYYYdhwoQJ5S6OId5//300NDTA4/HgwgsvxIoVK7DvvvuWu1iWMKAD8pVXXplaEFvt9vHHH6eef/nll+O9997DCy+8AIfDgbPPPruotT/NlO97A4D29nYce+yxOO200zB37twylVxbIe+LqFzmz5+PDz74AI899li5i2KYvfbaCxs2bMDatWsxb948zJkzBx999FG5i2UJA3qmrh07dqCjo0PzOWPHjoXb7e63XVo7+c0336zIdE2+723Lli2YMWMGDjnkECxbtqyg5dNKoZA6W7ZsGRYsWICuri6TS2e8aDSKuro6PPnkk5g9e3Zq+5w5c9DV1TVgsjQ2mw0rVqzIeI/V7uKLL8bKlSuxZs0ajBkzptzFMc2sWbMwbtw43HvvveUuyoA3oJdfbGlpQUtLS0GvFQQBABCJRIwskmHyeW/t7e2YOXMmJk+ejPvvv79igzFQXJ1VI7fbjcmTJ+Oll15KBStBEPDSSy/h4osvLm/hSJEoirjkkkuwYsUKrF69ekAHYyD5fazUdnCgGdABWa+1a9finXfeweGHHw6/34/PP/8cv/nNbzBu3LiK7B3no729HTNmzMCoUaNw6623YseOHanHhg0bVsaSFe/rr7/Gzp078fXXXyORSGDDhg0AgPHjx6OhoaG8hcvDwoULMWfOHBx00EGYOnUqlixZgnA4jHPPPbfcRStKT08PPvvss9TfmzZtwoYNGzB48GDsvvvuZSxZcebPn49HHnkEK1euhNfrTZ3rb2xsRG1tbZlLV5xFixbhuOOOw+67747u7m488sgjWL16NZ5//vlyF80ayjvIuzL83//9nzhz5kxx8ODBosfjEUePHi1eeOGF4jfffFPuohXt/vvvFwEo3qrdnDlzFN/XK6+8Uu6i5e2OO+4Qd999d9HtdotTp04V33rrrXIXqWivvPKKYv3MmTOn3EUritr/p/vvv7/cRSvaeeedJ44aNUp0u91iS0uLeNRRR4kvvPBCuYtlGQP6HDIREVG1qNyTiURERBbCgExERFQBGJCJiIgqAAMyERFRBWBAJiIiqgAMyERERBWAAZmIiKgCMCATERFVAAZkIiKiCsCATEREVAEYkImIiCoAAzJRGe3YsQPDhg3DjTfemNr25ptvwu1246WXXipjyYio1Li4BFGZ/eMf/8Ds2bPx5ptvYq+99sIBBxyAk08+Gbfddlu5i0ZEJcSATFQB5s+fjxdffBEHHXQQ3n//fbzzzjvweDzlLhYRlRADMlEF2LVrFyZMmIDNmzdj/fr1mDhxYrmLREQlxnPIRBXg888/x5YtWyAIAr788styF4eIyoA9ZKIyi0ajmDp1Kg444ADstddeWLJkCd5//30MGTKk3EUjohJiQCYqs8svvxxPPvkk/vWvf6GhoQHTp09HY2Mjnn766XIXjYhKiClrojJavXo1lixZggcffBA+nw92ux0PPvggXnvtNSxdurTcxSOiEmIPmYiIqAKwh0xERFQBGJCJiIgqAAMyERFRBWBAJiIiqgAMyERERBWAAZmIiKgCMCATERFVAAZkIiKiCsCATEREVAEYkImIiCoAAzIREVEFYEAmIiKqAP8fNH0M7GOsUuUAAAAASUVORK5CYII=",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ax = sim.plot_eps(z=0.01)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "36ddbde9-64c9-4771-ab9e-8bf2c224f860",
-   "metadata": {},
-   "source": [
-    "## Defining objective function\n",
-    "\n",
-    "With our simulation fully defined as a function of our parameters, we are ready to define our objective function.\n",
-    "\n",
-    "### Computing power transmission\n",
-    "\n",
-    "In this case, it is quite simple, we simply measure the transmitted power in our output waveguide mode. We wish to maximize transmission to the top port at the \"top\" wavelength (1330 nm) and maximize transmission to the bottom port at the \"bot\" wavelength (1550 nm)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "id": "56ed21ad-0882-46ca-bc99-f1e4163fcc72",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def measure_power(sim_data) -> float:\n",
-    "    \"\"\"Extract power from simulation data.\"\"\"\n",
-    "\n",
-    "    def get_power(mnt_key: str, freq_key: str) -> float:\n",
-    "        \"\"\"Get the power at monitor 'mnt_key' at frequency 'freq_key' (both either 'top' or 'bot').\"\"\"\n",
-    "        mnt_name = mnt_names[mnt_key]\n",
-    "        freq = freqs[freq_key]\n",
-    "        mnt_data = sim_data[mnt_name]\n",
-    "        amp = mnt_data.amps.sel(direction=\"+\", mode_index=0, f=freq)\n",
-    "        return jnp.abs(amp) ** 2\n",
-    "\n",
-    "    power_max = get_power(\"top\", \"top\") + get_power(\"bot\", \"bot\")\n",
-    "    return power_max / 2.0"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "55bbda26-70af-4e53-a77e-d92dac0221f6",
-   "metadata": {},
-   "source": [
-    "Next we add a penalty to produce structures that are invariant under erosion and dilation, which is a useful approach to implementing minimum length scale features."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "id": "7f7da424-d19e-4e0c-b95d-2ac7c877e246",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from tidy3d.plugins.adjoint.utils.penalty import ErosionDilationPenalty\n",
-    "\n",
-    "\n",
-    "def penalty(params, beta) -> float:\n",
-    "    \"\"\"Penalty based on the amount of change after erosion and dilation of structures.\"\"\"\n",
-    "    params = pre_process(params, beta=beta)\n",
-    "\n",
-    "    ed_penalty = ErosionDilationPenalty(length_scale=radius, pixel_size=design_region_dl)\n",
-    "    return ed_penalty.evaluate(params)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "218ac455-3626-4399-a11d-1ba288fe63bf",
-   "metadata": {},
-   "source": [
-    "### Writing objective function\n",
-    "\n",
-    "Then we write an `objective` function that constructs our simulation, runs it, measures the power, and subtracts our penalty.\n",
-    "\n",
-    "> Note, we return a `JaxSimulationData` as the second output. The reason for this is that we might wish to access our flux and field data later on. `jax` gives an option `has_aux` to use only the first output for differentiation while letting the user have access to the 2nd \"auxiliary\" output, which we will make use of."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "id": "3bba8bcc-4d2e-4268-a338-aab37513f5df",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def objective(params, beta, verbose=False) -> float:\n",
-    "    sim = make_sim(params, beta=beta)\n",
-    "    sim_data = tda.web.run(sim, task_name=\"WDM_MULTIFREQ\", verbose=verbose)\n",
-    "    power = measure_power(sim_data)\n",
-    "    J = power - penalty(params, beta=beta)\n",
-    "    return J, sim_data"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "94fa67f3-31e2-444c-b2d2-9aea353eef10",
-   "metadata": {},
-   "source": [
-    "### Differentiating objective\n",
-    "\n",
-    "Finally, we can simply use `jax` to transform this objective function into a function that returns our objective function value, the auxiliary data, and our gradient, which we will feed to the optimizer."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "id": "3d210aba-1184-4191-a405-08c12531991c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "grad_fn = jax.value_and_grad(objective, has_aux=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "afabe317-16c2-4d01-a5c0-6678eb470735",
-   "metadata": {},
-   "source": [
-    "Let's try out our gradient function with verbosity on for just this run."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "id": "2bb09792-cb44-4fb0-a3c9-6f82fb67d865",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
11:02:20 PST Created task 'WDM_MULTIFREQ' with task_id                          \n",
-       "             'fdve-c66b7065-34a3-4a23-b70a-1cae0a9791e3' and task_type 'FDTD'.  \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:02:20 PST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'WDM_MULTIFREQ'\u001b[0m with task_id                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-c66b7065-34a3-4a23-b70a-1cae0a9791e3'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             View task using web UI at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-c66b7065-34a\n",
-       "             3-4a23-b70a-1cae0a9791e3'.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=220288;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c66b7065-34a3-4a23-b70a-1cae0a9791e3\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=553347;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c66b7065-34a3-4a23-b70a-1cae0a9791e3\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=220288;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c66b7065-34a3-4a23-b70a-1cae0a9791e3\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=176647;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c66b7065-34a3-4a23-b70a-1cae0a9791e3\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=220288;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c66b7065-34a3-4a23-b70a-1cae0a9791e3\u001b\\\u001b[32m-c66b7065-34a\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=220288;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c66b7065-34a3-4a23-b70a-1cae0a9791e3\u001b\\\u001b[32m3-4a23-b70a-1cae0a9791e3'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "16f941e116514781ba62210cabc70884",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "150eb872324049de96bc7f1e2e408c0d",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:02:21 PST status = success                                                   \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:02:21 PST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a7fc153bc15740aa8bf58d97b7ed43e1",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:02:22 PST loading simulation from simulation_data.hdf5                       \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:02:22 PST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:02:23 PST WARNING: 2 unique frequencies detected in the output monitors with \n",
-       "             a minimum spacing of 3.720e+13 (Hz). Setting the 'fwidth' of the   \n",
-       "             adjoint sources to 0.1 times this value = 3.720e+12 (Hz) to avoid  \n",
-       "             spectral overlap. To account for this, the corresponding 'run_time'\n",
-       "             in the adjoint simulation is will be set to 2.688527e-11 compared  \n",
-       "             to 2.688527e-12 in the forward simulation. If the adjoint          \n",
-       "             'run_time' is large due to small frequency spacing, it could be    \n",
-       "             better to instead run one simulation per frequency, which can be   \n",
-       "             done in parallel using 'tidy3d.plugins.adjoint.web.run_async'.     \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:02:23 PST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: \u001b[0m\u001b[1;36m2\u001b[0m\u001b[31m unique frequencies detected in the output monitors with \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31ma minimum spacing of \u001b[0m\u001b[1;36m3.720e+13\u001b[0m\u001b[31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[31mHz\u001b[0m\u001b[1;31m)\u001b[0m\u001b[31m. Setting the \u001b[0m\u001b[32m'fwidth'\u001b[0m\u001b[31m of the   \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31madjoint sources to \u001b[0m\u001b[1;36m0.1\u001b[0m\u001b[31m times this value = \u001b[0m\u001b[1;36m3.720e+12\u001b[0m\u001b[31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[31mHz\u001b[0m\u001b[1;31m)\u001b[0m\u001b[31m to avoid  \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31mspectral overlap. To account for this, the corresponding \u001b[0m\u001b[32m'run_time'\u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31min the adjoint simulation is will be set to \u001b[0m\u001b[1;36m2.688527e-11\u001b[0m\u001b[31m compared  \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31mto \u001b[0m\u001b[1;36m2.688527e-12\u001b[0m\u001b[31m in the forward simulation. If the adjoint          \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m is large due to small frequency spacing, it could be    \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31mbetter to instead run one simulation per frequency, which can be   \u001b[0m\n",
-       "\u001b[2;36m             \u001b[0m\u001b[31mdone in parallel using \u001b[0m\u001b[32m'tidy3d.plugins.adjoint.web.run_async'\u001b[0m\u001b[31m.     \u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             Created task 'WDM_MULTIFREQ_adj' with task_id                      \n",
-       "             'fdve-7c7a36f3-2152-4379-82f1-707760603828' and task_type 'FDTD'.  \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'WDM_MULTIFREQ_adj'\u001b[0m with task_id                      \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-7c7a36f3-2152-4379-82f1-707760603828'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             View task using web UI at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-7c7a36f3-215\n",
-       "             2-4379-82f1-707760603828'.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=637591;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7c7a36f3-2152-4379-82f1-707760603828\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=774026;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7c7a36f3-2152-4379-82f1-707760603828\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=637591;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7c7a36f3-2152-4379-82f1-707760603828\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=890783;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7c7a36f3-2152-4379-82f1-707760603828\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=637591;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7c7a36f3-2152-4379-82f1-707760603828\u001b\\\u001b[32m-7c7a36f3-215\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=637591;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7c7a36f3-2152-4379-82f1-707760603828\u001b\\\u001b[32m2-4379-82f1-707760603828'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0ebc31f5703c42009963efbab27b9c58",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1dc5b7ad1a864b7d8b64a1790c00f30c",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:02:24 PST status = queued                                                    \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:02:24 PST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             To cancel the simulation, use 'web.abort(task_id)' or              \n",
-       "             'web.delete(task_id)' or abort/delete the task in the web UI.      \n",
-       "             Terminating the Python script will not stop the job running on the \n",
-       "             cloud.                                                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
-       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
-       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:02:32 PST status = preprocess                                                \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:02:32 PST\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:02:36 PST Maximum FlexCredit cost: 0.031. Use 'web.real_cost(task_id)' to get\n",
-       "             the billed FlexCredit cost after a simulation run.                 \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:02:36 PST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.031\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get\n",
-       "\u001b[2;36m             \u001b[0mthe billed FlexCredit cost after a simulation run.                 \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             starting up solver                                                 \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             running solver                                                     \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0f16c2b18fe34926bb873cc23b7183f7",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:02:48 PST early shutoff detected at 4%, exiting.                             \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:02:48 PST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m4\u001b[0m%, exiting.                             \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
             status = postprocess                                               \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:02:50 PST status = success                                                   \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:02:50 PST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
11:02:51 PST View simulation result at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=fdve-7c7a36f3-215\n",
-       "             2-4379-82f1-707760603828'.                                         \n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m11:02:51 PST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=537675;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7c7a36f3-2152-4379-82f1-707760603828\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=712304;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7c7a36f3-2152-4379-82f1-707760603828\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=537675;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7c7a36f3-2152-4379-82f1-707760603828\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=997764;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7c7a36f3-2152-4379-82f1-707760603828\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=537675;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7c7a36f3-2152-4379-82f1-707760603828\u001b\\\u001b[4;34m-7c7a36f3-215\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=537675;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7c7a36f3-2152-4379-82f1-707760603828\u001b\\\u001b[4;34m2-4379-82f1-707760603828'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ac4f89418957472e92ea0e026c8e1997",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "(J, sim_data), grad = grad_fn(params0, beta=1, verbose=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2351757c-e19c-4715-8bf5-71a775f47602",
-   "metadata": {},
-   "source": [
-    "## Run Optimization\n",
-    "\n",
-    "Finally, we are ready to optimize our device. We will make use the `optax` package to define an optimizer using the `adam` method, as we've done in the previous adjoint tutorials.\n",
-    "\n",
-    "We record a history of objective function values, simulation data, and parameters for visualization later."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "id": "4a24ecd3-f2d1-43b0-88cd-8e0a41cc515a",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "step = 1\n",
-      "\tJ = 1.1304e-01\n",
-      "\tbeta = 1.00\n",
-      "\tgrad_norm = 1.3148e-01\n",
-      "step = 2\n",
-      "\tJ = 1.7998e-01\n",
-      "\tbeta = 1.59\n",
-      "\tgrad_norm = 2.2417e-01\n",
-      "step = 3\n",
-      "\tJ = 1.9274e-01\n",
-      "\tbeta = 2.18\n",
-      "\tgrad_norm = 2.6165e-01\n",
-      "step = 4\n",
-      "\tJ = 5.7359e-02\n",
-      "\tbeta = 2.78\n",
-      "\tgrad_norm = 3.2920e-01\n",
-      "step = 5\n",
-      "\tJ = -2.7653e-02\n",
-      "\tbeta = 3.37\n",
-      "\tgrad_norm = 5.1749e-01\n",
-      "step = 6\n",
-      "\tJ = -1.0726e-01\n",
-      "\tbeta = 3.96\n",
-      "\tgrad_norm = 5.9930e-01\n",
-      "step = 7\n",
-      "\tJ = 5.4190e-02\n",
-      "\tbeta = 4.55\n",
-      "\tgrad_norm = 2.8124e-01\n",
-      "step = 8\n",
-      "\tJ = 1.3695e-01\n",
-      "\tbeta = 5.14\n",
-      "\tgrad_norm = 3.0855e-01\n",
-      "step = 9\n",
-      "\tJ = 1.9039e-01\n",
-      "\tbeta = 5.73\n",
-      "\tgrad_norm = 3.4029e-01\n",
-      "step = 10\n",
-      "\tJ = 2.1604e-01\n",
-      "\tbeta = 6.33\n",
-      "\tgrad_norm = 5.2777e-01\n",
-      "step = 11\n",
-      "\tJ = 2.6796e-01\n",
-      "\tbeta = 6.92\n",
-      "\tgrad_norm = 5.9430e-01\n",
-      "step = 12\n",
-      "\tJ = 2.0278e-01\n",
-      "\tbeta = 7.51\n",
-      "\tgrad_norm = 1.1882e+00\n",
-      "step = 13\n",
-      "\tJ = 3.2679e-01\n",
-      "\tbeta = 8.10\n",
-      "\tgrad_norm = 6.3214e-01\n",
-      "step = 14\n",
-      "\tJ = 3.6340e-01\n",
-      "\tbeta = 8.69\n",
-      "\tgrad_norm = 2.8383e-01\n",
-      "step = 15\n",
-      "\tJ = 3.7389e-01\n",
-      "\tbeta = 9.29\n",
-      "\tgrad_norm = 2.3837e-01\n",
-      "step = 16\n",
-      "\tJ = 3.9022e-01\n",
-      "\tbeta = 9.88\n",
-      "\tgrad_norm = 1.6353e-01\n",
-      "step = 17\n",
-      "\tJ = 4.0384e-01\n",
-      "\tbeta = 10.47\n",
-      "\tgrad_norm = 1.3485e-01\n",
-      "step = 18\n",
-      "\tJ = 4.1686e-01\n",
-      "\tbeta = 11.06\n",
-      "\tgrad_norm = 1.2928e-01\n",
-      "step = 19\n",
-      "\tJ = 4.2954e-01\n",
-      "\tbeta = 11.65\n",
-      "\tgrad_norm = 1.1254e-01\n",
-      "step = 20\n",
-      "\tJ = 4.3786e-01\n",
-      "\tbeta = 12.24\n",
-      "\tgrad_norm = 1.2386e-01\n",
-      "step = 21\n",
-      "\tJ = 4.4402e-01\n",
-      "\tbeta = 12.84\n",
-      "\tgrad_norm = 1.3647e-01\n",
-      "step = 22\n",
-      "\tJ = 4.4862e-01\n",
-      "\tbeta = 13.43\n",
-      "\tgrad_norm = 3.4103e-01\n",
-      "step = 23\n",
-      "\tJ = 4.5884e-01\n",
-      "\tbeta = 14.02\n",
-      "\tgrad_norm = 1.4109e-01\n",
-      "step = 24\n",
-      "\tJ = 4.6795e-01\n",
-      "\tbeta = 14.61\n",
-      "\tgrad_norm = 8.9034e-02\n",
-      "step = 25\n",
-      "\tJ = 4.7021e-01\n",
-      "\tbeta = 15.20\n",
-      "\tgrad_norm = 1.6547e-01\n",
-      "step = 26\n",
-      "\tJ = 4.8514e-01\n",
-      "\tbeta = 15.80\n",
-      "\tgrad_norm = 1.6582e-01\n",
-      "step = 27\n",
-      "\tJ = 5.0607e-01\n",
-      "\tbeta = 16.39\n",
-      "\tgrad_norm = 1.3549e-01\n",
-      "step = 28\n",
-      "\tJ = 5.2328e-01\n",
-      "\tbeta = 16.98\n",
-      "\tgrad_norm = 1.7107e-01\n",
-      "step = 29\n",
-      "\tJ = 5.5337e-01\n",
-      "\tbeta = 17.57\n",
-      "\tgrad_norm = 1.8353e-01\n",
-      "step = 30\n",
-      "\tJ = 5.8120e-01\n",
-      "\tbeta = 18.16\n",
-      "\tgrad_norm = 2.6351e-01\n",
-      "step = 31\n",
-      "\tJ = 6.0239e-01\n",
-      "\tbeta = 18.76\n",
-      "\tgrad_norm = 2.1676e-01\n",
-      "step = 32\n",
-      "\tJ = 6.1259e-01\n",
-      "\tbeta = 19.35\n",
-      "\tgrad_norm = 4.3566e-01\n",
-      "step = 33\n",
-      "\tJ = 5.4708e-01\n",
-      "\tbeta = 19.94\n",
-      "\tgrad_norm = 9.3248e-01\n",
-      "step = 34\n",
-      "\tJ = 6.1207e-01\n",
-      "\tbeta = 20.53\n",
-      "\tgrad_norm = 6.7785e-01\n",
-      "step = 35\n",
-      "\tJ = 6.4012e-01\n",
-      "\tbeta = 21.12\n",
-      "\tgrad_norm = 2.7947e-01\n",
-      "step = 36\n",
-      "\tJ = 6.2275e-01\n",
-      "\tbeta = 21.71\n",
-      "\tgrad_norm = 6.0492e-01\n",
-      "step = 37\n",
-      "\tJ = 6.6233e-01\n",
-      "\tbeta = 22.31\n",
-      "\tgrad_norm = 1.6761e-01\n",
-      "step = 38\n",
-      "\tJ = 6.5566e-01\n",
-      "\tbeta = 22.90\n",
-      "\tgrad_norm = 6.2367e-01\n",
-      "step = 39\n",
-      "\tJ = 6.5845e-01\n",
-      "\tbeta = 23.49\n",
-      "\tgrad_norm = 6.8979e-01\n",
-      "step = 40\n",
-      "\tJ = 6.9423e-01\n",
-      "\tbeta = 24.08\n",
-      "\tgrad_norm = 3.0279e-01\n",
-      "step = 41\n",
-      "\tJ = 7.0369e-01\n",
-      "\tbeta = 24.67\n",
-      "\tgrad_norm = 2.5525e-01\n",
-      "step = 42\n",
-      "\tJ = 6.9838e-01\n",
-      "\tbeta = 25.27\n",
-      "\tgrad_norm = 5.4912e-01\n",
-      "step = 43\n",
-      "\tJ = 6.9214e-01\n",
-      "\tbeta = 25.86\n",
-      "\tgrad_norm = 7.5892e-01\n",
-      "step = 44\n",
-      "\tJ = 7.1860e-01\n",
-      "\tbeta = 26.45\n",
-      "\tgrad_norm = 4.9100e-01\n",
-      "step = 45\n",
-      "\tJ = 7.4005e-01\n",
-      "\tbeta = 27.04\n",
-      "\tgrad_norm = 2.2158e-01\n",
-      "step = 46\n",
-      "\tJ = 7.3577e-01\n",
-      "\tbeta = 27.63\n",
-      "\tgrad_norm = 5.3908e-01\n",
-      "step = 47\n",
-      "\tJ = 7.4667e-01\n",
-      "\tbeta = 28.22\n",
-      "\tgrad_norm = 4.1632e-01\n",
-      "step = 48\n",
-      "\tJ = 7.5887e-01\n",
-      "\tbeta = 28.82\n",
-      "\tgrad_norm = 2.1059e-01\n",
-      "step = 49\n",
-      "\tJ = 7.6499e-01\n",
-      "\tbeta = 29.41\n",
-      "\tgrad_norm = 3.3670e-01\n",
-      "step = 50\n",
-      "\tJ = 7.6311e-01\n",
-      "\tbeta = 30.00\n",
-      "\tgrad_norm = 4.7441e-01\n"
-     ]
-    }
-   ],
-   "source": [
-    "import optax\n",
-    "\n",
-    "# we know that the source fwidth will be set automatically due to multi-freq adjoint, so suppress warnings\n",
-    "td.config.logging_level = \"ERROR\"\n",
-    "\n",
-    "# hyperparameters\n",
-    "num_steps = 50\n",
-    "learning_rate = 5e-2\n",
-    "beta_min = 1\n",
-    "beta_max = 30\n",
-    "\n",
-    "# initialize adam optimizer with starting parameters\n",
-    "params = params0\n",
-    "optimizer = optax.adam(learning_rate=learning_rate)\n",
-    "opt_state = optimizer.init(params)\n",
-    "\n",
-    "# store history\n",
-    "Js = []\n",
-    "params_history = [params0]\n",
-    "data_history = []\n",
-    "beta_history = []\n",
-    "\n",
-    "for i in range(num_steps):\n",
-    "    perc_done = i / (num_steps - 1)\n",
-    "    beta_i = beta_min * (1 - perc_done) + beta_max * perc_done\n",
-    "\n",
-    "    # compute gradient and current objective function value\n",
-    "    (value, data), gradient = grad_fn(params, beta=beta_i)\n",
-    "\n",
-    "    # outputs\n",
-    "    print(f\"step = {i + 1}\")\n",
-    "    print(f\"\\tJ = {value:.4e}\")\n",
-    "    print(f\"\\tbeta = {beta_i:.2f}\")\n",
-    "    print(f\"\\tgrad_norm = {np.linalg.norm(gradient):.4e}\")\n",
-    "\n",
-    "    # compute and apply updates to the optimizer based on gradient (-1 sign to maximize obj_fn)\n",
-    "    updates, opt_state = optimizer.update(-gradient, opt_state, params)\n",
-    "    params = optax.apply_updates(params, updates)\n",
-    "\n",
-    "    # keep params between 0 and 1\n",
-    "    params = jnp.minimum(1.0, params)\n",
-    "    params = jnp.maximum(0.0, params)\n",
-    "\n",
-    "    # save history\n",
-    "    Js.append(value)\n",
-    "    params_history.append(params)\n",
-    "    beta_history.append(beta_i)\n",
-    "    data_history.append(data)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f082a060-208d-4678-8c60-9701db55faad",
-   "metadata": {},
-   "source": [
-    "## Visualize Results\n",
-    "\n",
-    "Let's visualize the results of our optimization.\n",
-    "\n",
-    "### Objective function vs Iteration\n",
-    "\n",
-    "First we inspect the objective function value as a function of optimization iteration number. We see that it steadily increases as expected. \n",
-    "\n",
-    "> The presence of fabrication constraints tends to create some minor bumps in the optimization, which can be a signal that one needs to reduce the step size, but these results are sufficient for our purposes."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "id": "a3f9509b-2448-4505-a013-c2fd26b36052",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjcAAAGzCAYAAADT4Tb9AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAABWdklEQVR4nO3deViU9f4+8HtmYIZ9kR1kUVxAFFBUQjPNOFmnNLPFzF+aZqumZd9OeSrNTPG0mJqVZYvtWqa2mWW4J6ayiDuCIPsuDPvAzOf3BzJKoDI4wzAz9+u65jryzLO85znm3DyfTSKEECAiIiIyE1JjF0BERESkTww3REREZFYYboiIiMisMNwQERGRWWG4ISIiIrPCcENERERmheGGiIiIzArDDREREZkVhhsiIiIyKww3REREZFasjF3Ae++9hzfffBOFhYWIiIjAu+++i+HDh19x/5UrV+KDDz5AdnY23N3dce+99yIuLg42NjYdup5Go0F+fj4cHR0hkUj09TGIiIjIgIQQqKqqgq+vL6TSazybEUa0YcMGIZfLxaeffipOnDghHn30UeHi4iKKiora3f/rr78WCoVCfP311yIzM1P8/vvvwsfHRzz77LMdvmZOTo4AwBdffPHFF198meArJyfnmt/1EiGMt3BmdHQ0hg0bhjVr1gBofqri7++Pp59+Gi+++GKb/efMmYNTp04hPj5eu+25557D33//jf3793fompWVlXBxcUFOTg6cnJz080GIiIjIoJRKJfz9/VFRUQFnZ+er7mu0ZimVSoXExEQsWLBAu00qlSI2NhYJCQntHjNixAh89dVXOHToEIYPH45z585h27ZteOihh654nYaGBjQ0NGh/rqqqAgA4OTkx3BAREZmYjnQpMVq4KS0thVqthpeXV6vtXl5eOH36dLvHPPjggygtLcWNN94IIQSamprwxBNP4L///e8VrxMXF4fFixfrtXYiIiLqvkxqtNTu3buxbNkyvP/++0hKSsLmzZvx66+/YsmSJVc8ZsGCBaisrNS+cnJyurBiIiIi6mpGe3Lj7u4OmUyGoqKiVtuLiorg7e3d7jGvvPIKHnroIcyaNQsAMGjQINTU1OCxxx7DSy+91G7vaYVCAYVCof8PQERERN2S0Z7cyOVyREVFteocrNFoEB8fj5iYmHaPqa2tbRNgZDIZAMCI/aKJiIioGzHqPDfz58/H9OnTMXToUAwfPhwrV65ETU0NZsyYAQCYNm0a/Pz8EBcXBwAYP348VqxYgcGDByM6Ohrp6el45ZVXMH78eG3IISIiIstm1HAzefJklJSUYOHChSgsLERkZCS2b9+u7WScnZ3d6knNyy+/DIlEgpdffhl5eXnw8PDA+PHjsXTpUmN9BCIiIupmjDrPjTEolUo4OzujsrKSQ8GJiIhMhC7f3yY1WoqIiIjoWhhuiIiIyKww3BAREZFZYbghIiIis8JwQ0RERGaF4YaIiIiuSQiBkqoGVDc0dfuJc406zw0RERF1XznltUg4V4aEjOZXobIeACC3kqKHnRyu9nL0sLeGq50cbvYtP8vh72qHm0M8jVY3ww0REREBAIqU9UjIKMOBjFIknCtDTnldu/upmjQoVNZrw84/Rfi7MNwQERGRcdQ0NOHzhCxsSszFuZKaVu9ZSSWI8HdBTG83jAh2w5BAVwgBlNU04EJNI8prVbhQo0J5jQoXapv/t7xGhUA3eyN9mot1G/XqREREZBR1KjW+Ongea/dkoKxGBQCQSICBvs6ICXZDTLAbhgX1gIOibVToKbdDT9eurrjjGG6IiIgsSH2jGt8eysb7uzNQUtUAAAh0s8Ocm/vg1gHecLazNnKF14/hhoiIyAKomjT47kgO3tuVjoLK5r4yfi62mHdLX0wa4gcrmfkMoGa4ISIiMmONag02J+VidXw68iqaOwj7ONtgztg+uC/KH3Ir8wk1LRhuiIiIzFCtqgnfHc7BJ39lakc9eTgqMHtMMB4YHgAba5mRKzQchhsiIiIzUlLVgM8PZOHLg+dRWdcIAHCzl+PJMcGYGh0IW7n5hpoWDDdERETdTH2jGj+l5EMjBEJ8nNDPywF28qt/ZWeUVOPjfefwQ1IeVE0aAECQmx1mjeqNe4b0tIhQ04LhhoiIqBuprGvEo18cwaHMcu02iQQIcrNHiLcjQrydEOLjiFBvJ/R0tUVi9gV8uOcc/jxVpN1/cIALHr+pN/41wBsyqcQYH8OoGG6IiIi6icLKekz/9BDOFFXBQWGFSH8XnC6sQml1AzJLa5BZWoPfjhdq91dYSdFw8SkNAMSGeuHx0b0xNNAVEonlhZoWDDdERETdQHpxFaZ9cgj5lfXwcFRg/YxhCPN1BgCUVjfgTGEVThUocbqwCqcLlUgrqkZDkwZyKynuGeKHWaN6I9jDwcifontguCEiIjKyxPPlmLn+CCrrGtHb3R6fzxwO/x522vfdHRRw76PAyD7u2m1Nag3Ol9fCzV4OFzu5McruthhuiIiIjGjHySLM+SYJDU0aRPq74NOHh6GH/bXDipVMyic1V8BwQ0REZCTfHsrGS1uOQSOAsSGeWPPg4GuOiqJr4x0kIiLqYkIIrI5Pxzt/pgEA7h/aE8vuHmRWSyAYE8MNERFRF1JrBF758Ti++TsbAPD02D6Y/69+Fj26Sd8YboiIiLqIEAIv/JCKTYm5kEiA1yaE4aGYIGOXZXYYboiIiLrIG7+fwabEXMikErw7ZTD+PcjH2CWZJTbuERERdYHP/srEB7szAABxkwYx2BgQww0REZGB/Xw0H6/9chIA8Py4/rh/qL+RKzJvDDdEREQG9Fd6KeZ/lwIhgOkxgXhqTLCxSzJ77HNDREQWrbK2Eb8dL4BGNC842c/LUW+LTR7Pq8TjXyaiUS1wxyAfLBwfxlFRXYDhhoiILI4QAoezLmDDoWz8eqyg1eKTDgorRPg7Y7C/K4YEumCwvytcOzBj8D+dL6vBw58dRnVDE2J6u2HF5AiLXKHbGBhuiIjIYpTXqLA5KRffHspGRkmNdnuItyPcHRRIyalAdUMT/kovw1/pZdr3e7vbY3CAK4YGuWJEsBsCethd9QlMSVUDpn16CKXVDQj1ccKH06KgsJIZ9LPRJQw3RERk1jQagYPnyvDt4Rz8frwQKnXzUxo7uQzjw30xJToAET2dIZFIoNYInC2uQtL5CiRlX0BS9gWcK6nBudLm1w9JuQAAPxdbjOzjhpF93BET7AZPRxvt9aobmjBj/SGcL6tFT1dbfD5jGJxsrI3y2S2VRAghjF1EV1IqlXB2dkZlZSWcnJyMXQ4RERlQTnktZq4/jLPF1dptg/yc8cBwf0yI8IVjB0LHhRoVUnKaw87f58qRnHMBjerWX519PR0wso87RgS74cuD57HvbCl62Mux6YkY9Obilnqhy/c3ww0REZkljUbggXUHcSizHA4KK9wV6YspwwMw0M/5us5bq2rCocxyHMgow1/ppThZoMQ/v0nt5DJ8++gNiPB3ua5r0SW6fH+zWYqIiMzSFwlZOJRZDju5DL/NGwX/HnZ6Oa+d3Apj+ntiTH9PAM1Pdg6eK8NfGaU4kF6GkuoGrHlwCIONETHcEBGR2TlfVoP/bT8DAFjw71C9BZv2uNrLcfsgH9zOGYe7DU7iR0REZkWjEXh+UyrqGtUYEeyGqcMDjF0SdTGGGyIiMiufX9Yc9b97wiHl3DIWh+GGiIjMRlZpDf63/TQAwzdHUffFcENERGZBoxH4z6ZU1Ddq2Bxl4RhuiIjILKw/kIVDWeWwZ3OUxWO4ISIik5dZWoM3fmdzFDVjuCEiIpPW3Bx1FPWNGozs44ap0WyOsnQMN0REZNLWH8jC4awL2uaoqy1oSZaBk/gREVGX2nm6CCfzlYgJdkNETxdYyTr/e/blzVH/vSMUPV3ZHEUMN0RE1IXSi6vw2BeJaNI0L8bkZGOFG/u6Y3Q/D9zUzwM+zrYdPpf6suaoG/u440GOjqKLGG6IiKhLCCGw8McTaNIIBPSwQ2VdIyrrGrHtWCG2HSsEAPTzcsBNfT0wur8Hwv1cUFrTgPyKOuRX1CGvoh75FXUoqKxDfkU98irqoGrSwF4uw/J7BrE5irQYboiIqEv8nFqAAxllUFhJ8fWsaPi62OJobgX2ppVgT1oJjuZUIK2oGmlF1fh4f2aHzmlrLUPcPeFsjqJWGG6IiMjgqhua8PovJwEAs2/uox2qPSTAFUMCXPFMbD9U1KrwV3oZ9qQVY29aKQqV9XBQWMHXxQa+LrbwdbGFn4tt88/OzT97OdlAbsWxMdQaww0RERncyh1pKK5qQKCbHR67qXe7+7jYyXFHuA/uCPeBEAK1KjXsFfyaIt0x7hIRkUGdKazCZweyAACLJ4TBxlp2zWMkEgmDDXUaww0RERmMEAKv/Hgcao3AuDAvjOnvaeySyAIw3BARUYcIIXQ+ZmtKHg5llsPGWoqF48MMUBVRWww3RER0TQfPlWH4snjM/joJFbWqDh1TWdeIpb82T7D39Ni+8HPp+Bw2RNeD4YaIiK4qo6Qaj3+ZiJKqBvx6rAC3r9qHv8+VXfO4d3akobS6Ab097PHoqPY7ERMZAsMNERFdUXmNCjPXH0ZlXSPCezqjt7s9CirrMWXdQazYkYYmtabd407kV+KLhCwAwGsTBnK4NnUp/m0jIqJ2NTSp8cSXiThfVouerrb49OFh+PnpG3FfVE9oBLA6/iwe+Oggci/UtjpOo2meiVgjgDvCfXBjX3cjfQKyVAw3RETUhhACC344hkNZ5XBUWOGzh4fB3UEBe4UV3rwvAqseiISDwgpHzl/Av1ftw2/HCrTHbkrKReL5C7CTy/DyHaFG/BRkqRhuiIiojTU707E5OQ8yqQTv/78h6Ovl2Or9uyL9sG3uKET4u0BZ34Qnv07Cgs3HUFhZj+W/NXcifia2r04LYRLpC8MNERG18tPRfLy9Iw0AsOSugRjV16Pd/QLc7LDpiRg8MToYAPDtoWyMeWsXymtU6OvpgBkje3VZzUSXY7ghIiKtxPMX8H/fHwUAPDqqFx6MDrjq/tYyKV68PQRfPjIcHo4K1Dc2dzB+7a6BsJbxK4aMg3NbExERACCnvBaPfXEEqiYNYkO98OLtHe8vM6qvB36bNwor/0xDL3cHxAS7GbBSoqtjuCEiIijrGzFz/WGU1agQ5uuEVQ9EQiaV6HQOdwcFXp84yEAVEnUcnxkSEZkgIQQOZ5UjKfvCdZ+rUa3B7K+TcLa4Gl5OCnwyfRgXrSSTxr+9REQmpFbVhC3Jefj8QBbSiqohk0rwx7M3IdjDodPnXLfvHPadLYWttQyfTB8Gb2cbPVZM1PWM/uTmvffeQ1BQEGxsbBAdHY1Dhw5ddf+KigrMnj0bPj4+UCgU6NevH7Zt29ZF1RIRGUdOeS2W/noSNyyLx0tbjiOtqBoAoNYIbE7K7fR5hRDYcCgHALBw/AAM9HPWS71ExmTUJzcbN27E/PnzsXbtWkRHR2PlypUYN24czpw5A09Pzzb7q1Qq/Otf/4Knpyc2bdoEPz8/nD9/Hi4uLl1fPBGRgQkh8Fd6GdYfyEL86SK0LMod6GaHaTFBsJPLsGDzMWxNzsdz/+oPqY59ZIDm0VHZ5bWwk8twV6Svnj8BkXEYNdysWLECjz76KGbMmAEAWLt2LX799Vd8+umnePHFF9vs/+mnn6K8vBwHDhyAtbU1ACAoKKgrSyYiMjghBL4/kot1+87hbHG1dvtN/Tzw8IhAjOnnCalUgvpGNZZtO4W8ijocyirHDb11H6H0Q1IeAOD2gT6wk7OnApkHozVLqVQqJCYmIjY29lIxUiliY2ORkJDQ7jE//fQTYmJiMHv2bHh5eWHgwIFYtmwZ1Gr1Fa/T0NAApVLZ6kVE1F01qTVYsPkY/vNDKs4WV8NeLsP0mEDEPzcaX8wcjrEhXtonNDbWMtwxyAcAOtU0Vd+oxi+p+QCAe6L89PchiIzMaOGmtLQUarUaXl5erbZ7eXmhsLCw3WPOnTuHTZs2Qa1WY9u2bXjllVfw9ttv4/XXX7/ideLi4uDs7Kx9+fv76/VzEBHpS62qCY99mYgNh3MglQDPj+uPg/+9BYvvGnjFDsN3D24OJb8dK0R945V/0WtP/KliVNU3wdfZBjf04rw0ZD6M3qFYFxqNBp6envjoo48QFRWFyZMn46WXXsLatWuveMyCBQtQWVmpfeXk5HRhxUREHVNa3YApHx3EztPFsLGWYu3/i8Lsm/vA0cb6qscNC+qBnq62qGpowo6TRTpds+Vpz91D/DrVX4eouzJauHF3d4dMJkNRUev/GIuKiuDt7d3uMT4+PujXrx9kMpl2W2hoKAoLC6FSqdo9RqFQwMnJqdWLiKg7ySqtwT0fHMDR3Eq42lnj61k34Naw9v8d/CepVKJ9eqNL01RpdQN2p5UAAO4e3FP3oom6MaOFG7lcjqioKMTHx2u3aTQaxMfHIyYmpt1jRo4cifT0dGg0Gu22tLQ0+Pj4QC6XG7xmIiJ9S86+gEkfHMD5slr497DFD0+OQFSgq07naAk3e8+WoqSqoUPH/JiSD7VGIMLfBX08Oz9HDlF3ZNRmqfnz52PdunX4/PPPcerUKTz55JOoqanRjp6aNm0aFixYoN3/ySefRHl5OebNm4e0tDT8+uuvWLZsGWbPnm2sj0BE1Gnxp4owZd1BlNeoMMjPGZufHInenZiMr7eHAyL9XaDWCPx8NL9Dx7Q85blnCDsSk/kx6ri/yZMno6SkBAsXLkRhYSEiIyOxfft2bSfj7OxsSKWX8pe/vz9+//13PPvsswgPD4efnx/mzZuHF154wVgfgYioU775Oxsvbz0GjQBG9/PA+1OHXNeSB5OG+CElpwKbk3Mx88ZeV933dKESJ/KVsJZJcGc457Yh8yMRomVaKMugVCrh7OyMyspK9r8hoi4nhMA7O9Kwemc6AOC+qJ5YNmkQrGXX9yC9vEaF4Uv/RJNGYMezN6Gvl+MV943bdgof7j2HWwd44aNpQ6/rukRdRZfvb5MaLUVEZOpW/nlWG2zm3tIXb9wbft3BBgB62Mtxc0jzzO6bk/OuuJ9aI7Dl4vuThrAjMZknhhsioi6yOSkXq+LPAgAWTwjD/H/1g0SivyHYky52LN6anAeNpv2H8n+ll6K4qgEudta4OcRDb9cm6k4YboiIusDf58rwwg+pAIDHR/fG9BFBer/G2FBPONlYoaCyHgfPlbW7T0tH4vHhvlBYydrdh8jUMdwQERlYRkk1HvsyEY1qgdsHeuOFcSEGuY7CSoY7I5o7CLfXNFXd0ITtJ5pngL8nik1SZL4YboiIDKi8RoWZ6w+jsq4Rkf4ueGdypEFnA56kXY6hAHWq1ssxbDtWgPpGDXp72COip7PBaiAyNoYbIiIDqW9U47EvjuB8WS16utpi3bShsLE2bFNQVKArAnrYoUalxh8nW6/Td2lum5567etD1N0w3BARGYAQAv/ZlIoj5y/A0cYKnz08DB6OCoNfVyK5fDmGS01TuRdqcfBcOQBg4mBO3EfmjeGGiMgA3tmRhp+O5sNKKsHa/xd11Xln9K0l3Ow7W4JiZT2A5hFUABDT2w1+LrZdVguRMTDcEBHp2Q+Judq5bJbePRAj+7h36fWD3O0xJMAFGgH8dDQfQgjtU5xJXG6BLADDDRGRHiVklOHFzc1Dvp8aE4zJwwKMUkfLBH2bk/KQklOBc6U1sLGW4vZBPkaph6grMdwQEelJRkk1nviqecj3HeE++L9b+xutljvDfSCXSXGyQInlv50GANwW5g2H61i/ishUMNwQEelBVX0jHv3iCCrrGjE4wAVv3xdh0CHf1+JiJ9fOQPx3ZnNHYi63QJaC4YaI6DppNALPfXcU50pq4O1kg48eMvyQ7464PMx4Oiq6vO8PkbEw3BARXaf3d6fjj5NFkMukWPtQVJcM+e6Im/t7wsXOGkDzCCqZEZ8kEXUlhhsiouuw60wx3t6RBgBYMjEMkf4uxi3oMnIrKZ4f1x+DA1zw8MggY5dD1GXYs4yIqJOySmsw79tkCAE8GB1gtJFRVzM1OhBTowONXQZRl+KTGyKiTqhVNeGJrxKhrG/CkAAXLBo/wNglEdFFDDdERDpqWVrhdGEVPBwV+OD/RUFhZfwOxETUjOGGiEhH6/adwy+pBbCSSvD+1CHwcrIxdklEdBmGGyIiHfyVXqqdFG/h+AEYFtTDyBUR0T8x3BARdVDuhVrM+SYJGgHcG9UTD93AjrpE3RHDDRFRB9Q3qvHEV4m4UNuIQX7OeH3iQEgknDeGqDtiuCEiuobyGhWe+CoRx/OU6GEvx9qHorrFDMRE1D7Oc0NEdBUH0kvx7HcpKFI2QC6TYs2UwfBzsTV2WUR0FQw3RETtUDVpsGJHGj7cmwEhgGAPe6yeMhhhvs7GLo2IroHhhojoH7JKazB3QzJScysBAFOGB+CVO0NhJ+c/mUSmgP+lEhFdJITAD0l5WPTjcdSo1HC2tcbySYNw+yAfY5dGRDpguCEiAqCsb8TLW47jp6P5AIDoXj3wzuRI+LJ/DZHJYbghIouXlH0Bc79NRu6FOsikEjwb2xdPjukDmZRDvYlMEcMNEVm0H1Py8Pz3qVCpNfDvYYtVDwzGkABXY5dFRNeB4YaILJIQAmv3nMP/tjcvpTAuzAtv3hcBJxtrI1dGRNeL4YaILE6TWoNFP53A139nAwBm3dgL//13KKRshiIyCww3RGRRahqa8PS3ydh5uhgSCbDwzgGYMbKXscsiIj1iuCEii1FcVY9H1h/BsbxKKKykWPXAYNw20NvYZRGRnjHcEJFFSC+uwvRPDyOvog497OX4ePpQdhwmMlMMN0Rk9v4+V4bHvkxEZV0jgtzssH7GcAS52xu7LCIyEIYbIjJrPx3Nx/99dxQqtQZDAlzw8fRh6GEvN3ZZRGRAnQo38fHxiI+PR3FxMTQaTav3Pv30U70URkR0PYqr6vH6L6e0Mw6PC/PCqgcGw8ZaZuTKiMjQdA43ixcvxmuvvYahQ4fCx8cHEgmHThJR96HRCGw4nIPlv52Csr4JUgnw2E3BeH5cf844TGQhdA43a9euxfr16/HQQw8Zoh4iok47U1iF/245hsTzFwAAA/2cEHd3OAb1dDZyZUTUlXQONyqVCiNGjDBELUREnVLfqMbq+LP4aO85NGkE7OUyPHdrf0yLCYSVTGrs8oioi+n8X/2sWbPwzTffGKIWIiKd7Ukrwa3v7MX7uzPQpBH41wAv7Jg/GjNv7MVgQ2ShdH5yU19fj48++gh//vknwsPDYW3deh2WFStW6K04IiKguR9Nea0KJVUNl17VDUjJrsD2E4UAAG8nGyy+KwzjwjgpH5Gl0zncpKamIjIyEgBw/PjxVu+xczERXS9lfSN+PpqPnaeKUaisR0lVA8pqVFBrRLv7SyXA9BFBeO7W/nBQcHYLIupEuNm1a5ch6iAiC6bRCBw8V4bvjuTgt+OFaGjStLufm70cHo4K7cvT0QZ3hvtgoB87DBPRJdf1a05ubi4AoGfPnnophogsS+6FWmxKzMWmxFzkXqjTbu/r6YB7onqin5cDPB1t4OGoQA97OazZh4aIOkDncKPRaPD666/j7bffRnV1NQDA0dERzz33HF566SVIpfzHh4iurL5Rjd9PFOK7Izk4kFEGcbG1yVFhhfGRvrh/qD8iejqzmZuIOk3ncPPSSy/hk08+wfLlyzFy5EgAwP79+/Hqq6+ivr4eS5cu1XuRRGT68ivq8OXB89hwKBsXahu120cEu+H+of4YF+YNWzlnDyai6ycRQrTfS+8KfH19sXbtWkyYMKHV9h9//BFPPfUU8vLy9FqgvimVSjg7O6OyshJOTk7GLofIrAkhcCizHOsPZOGPk0XaTsG+zja4b6g/7o3qCf8edkaukohMgS7f3zo/uSkvL0dISEib7SEhISgvL9f1dERkhuob1fgxJQ/rD5zHqQKldvsNvXvg4RG9EBvqyTloiMhgdA43ERERWLNmDVavXt1q+5o1axAREaG3wojItKg1AunF1diSnIcNh7NRcbHpycZairsH+2H6iCCEePNpKREZns7h5o033sAdd9yBP//8EzExMQCAhIQE5OTkYNu2bXovkIi6n4YmNdIKq3E8vxIn8itxIl+JUwVK1DdeGsLt52KLaTGBmDzMHy52ciNWS0SWRudwM3r0aKSlpeG9997D6dOnAQCTJk3CU089BV9fX70XSETGJYRARkk1EjLKcDS3EsfzKpFeXI2mdibVs7WWYWiQK/7fDYGIDfXiKtxEZBQ6dyg2dexQTHRtOeW1OJBRigMZZTiQUYaSqoY2+7jaWSPM1xlhvk4Y4OuEMF9n9HK3Z6AhIoPQe4fi1NRUDBw4EFKpFKmpqVfdNzw8vOOVElG3UKSsbw4z6c1hJq+irtX7CisphgX1QFSgK8J8nRDm5wxfZxvORUNE3VKHwk1kZCQKCwvh6emJyMhISCQStPfARyKRQK1W671IItK/0uoGbDtWgJ9S8nHk/IVW71lJJRgc4IKYYHeMCHbD4AAXKKw4Bw0RmYYOhZvMzEx4eHho/0xEpklZ34jfjxfip6P5OJBRpp13RiIBBvk5IybYDSOC3TE00BX2XISSiExUh/71CgwM1P75/PnzGDFiBKysWh/a1NSEAwcOtNqXiIyvvlGNnaeL8VNKPnaeKYbqskUpw3s6Y0KEL+4M94W3s40RqyQi0h+dfzW7+eabUVBQAE9Pz1bbKysrcfPNN7NZiqibqKxtxAd7MvDVwfOobmjSbu/j6YAJEb4YH+GLXu72RqyQiMgwdA43Qoh2OxGWlZXB3p7/UBIZW51Kjc8OZGLt7gwo65tDjZ+LLcZH+GJChC9CfRzZEZiIzFqHw82kSZMANHcafvjhh6FQKLTvqdVqpKamYsSIEfqvkIg6pFGtwYbDOVgdf1Y7dLu/lyOeH9cfY0M8IeUQbSKyEB0ON87OzgCan9w4OjrC1tZW+55cLscNN9yARx99VP8VEtFVaTQCP6fmY8WONJwvqwUA9HS1xXO39sOECD/OO0NEFqfD4eazzz4DAAQFBeH555+HnR1X8iUyJiEEdp8pwRu/n9EuTunuIMfTY/tiyvAAyK24MCURWSad+9xMmzYNeXl56Nu3b6vtZ8+ehbW1NYKCgvRVGxFdQUpOBZZtO4VDmeUAAEeFFR4f3RszRvbiEG4isng6/yv48MMPY+bMmW3Czd9//42PP/4Yu3fv1ldtRPQP58tq8MbvZ/BragEAQG4lxcMjgvDk6GC42nNxSiIioBPhJjk5GSNHjmyz/YYbbsCcOXP0UhQRtVZW3YB3d6bjq4Pn0aQRkEiASYN7Yv6t/eDnYnvtExARWRCdG+UlEgmqqqrabK+srOz0HDfvvfcegoKCYGNjg+joaBw6dKhDx23YsAESiQQTJ07s1HWJurs6lRprdp7F6Dd3Y/2BLDRpBEb388C2uaPw9v0RDDZERO3QOdzcdNNNiIuLaxVk1Go14uLicOONN+pcwMaNGzF//nwsWrQISUlJiIiIwLhx41BcXHzV47KysvB///d/GDVqlM7XJOrumtQabDycjTFv7cJbf6ShuqEJA/2c8PWsaHw+czhCfbiiPRHRlUhEeytgXsXJkydx0003wcXFRRss9u3bB6VSiZ07d2LgwIE6FRAdHY1hw4ZhzZo1AACNRgN/f388/fTTePHFF9s9Rq1W46abbsLMmTOxb98+VFRUYOvWrR26ni5LphMZw960Erz+60mkFVUDaB7W/fy4/hgf7su5aojIYuny/a3zk5sBAwYgNTUV999/P4qLi1FVVYVp06bh9OnTOgcblUqFxMRExMbGXipIKkVsbCwSEhKueNxrr70GT09PPPLII7qWT9RtZZRUY+b6w5j26SGkFVXD2dYaL98RivjnRuOuSD8GGyKiDurUmFFfX18sW7bsui9eWloKtVoNLy+vVtu9vLxw+vTpdo/Zv38/PvnkE6SkpHToGg0NDWhoaND+rFQqO10vkSFU1KqwKv4svkxo7ixsJZVgWkwQ5t3SF8521sYuj4jI5HQq3FRUVODQoUMoLi6GRqNp9d60adP0Ulh7qqqq8NBDD2HdunVwd3fv0DFxcXFYvHixwWoi6qxGtQbf/J2Nd/5MQ0VtIwDglhBP/PeOUAR7OBi5OiIi06VzuPn5558xdepUVFdXw8nJqdUCfBKJRKdw4+7uDplMhqKiolbbi4qK4O3t3Wb/jIwMZGVlYfz48dptLeHKysoKZ86cQXBwcKtjFixYgPnz52t/ViqV8Pf373CNRIaw+0wxXv/1FNKLm/vV9PNywCt3DsCovh5GroyIyPTpHG6ee+45zJw5E8uWLbvuJRjkcjmioqIQHx+vHc6t0WgQHx/f7pw5ISEhOHbsWKttL7/8MqqqqrBq1ap2Q4tCoWi1yCeRMeVX1OGlLcew60wJAKCHvRzz/9UPDwzzh5WMyyUQEemDzuEmLy8Pc+fO1dvaUvPnz8f06dMxdOhQDB8+HCtXrkRNTQ1mzJgBoLmZy8/PD3FxcbCxsWnTadnFxQUAdO7MTNSVhBDYnJSHV38+gar6JljLJHh4RBDmjO0LZ1v2qyEi0iedw824ceNw5MgR9O7dWy8FTJ48GSUlJVi4cCEKCwsRGRmJ7du3azsZZ2dnQyrlb7RkukqrG/Dfzcfwx8nm5tdIfxe8dV8E+niyXw0RkSHoPM/NJ598gtdeew0zZszAoEGDYG3d+rfOCRMm6LVAfeM8N9SVth8vwH+3HEd5jQrWMgmeie2Hx2/qzSYoIiId6fL9rXO4udpTFIlE0uklGLoKww11hcq6Rrz60wlsSc4DAIR4O2LF/ZEY4Mu/c0REnaHL97fOzVL/HPpNRK3tTSvBfzalolBZD6kEeHx0MJ6J7QuFlczYpRERWYROzXNDRG2VVDVgVXwavjqYDQAIcrPD2/dHICqwh5ErIyKyLDqHm9dee+2q7y9cuLDTxRCZopP5Snz6VyZ+SsmHSt38ZHN6TCBeuD0EdnL+/kBE1NV0/pd3y5YtrX5ubGxEZmYmrKysEBwczHBDFkGjEdh5uhif7M9Ewrky7fYIfxf8Z1x/jOzTsRm0iYhI/3QON8nJyW22KZVKPPzww7j77rv1UhRRd1XT0IRNibn47K9MZJXVAgBkUgluG+iNR27shSEBrkaukIiIdB4tdSXHjh3D+PHjkZWVpY/TGQxHS1FnKOsbsWZnOr49lI2q+iYAgJONFaYMD8C0EUHwc7E1coVERObNoKOlrqSyshKVlZX6Oh1RtyGEwJxvkrE3rXnJhN7u9pgxMgiThvSEvYJ9aoiIuhud/2VevXp1q5+FECgoKMCXX36J22+/XW+FEXUXmxJzsTetBHIrKdZMGYzYUC9IpZJrH0hEREahc7h55513Wv0slUrh4eGB6dOnY8GCBXorjKg7KFbWY8kvJwEAz8T2xa1hbVerJyKi7qVD4SY1NRUDBw6EVCpFZmamoWsi6jYW/ngCyvomDPRzwmOj9LOeGhERGVaHFrgZPHgwSktLAQC9e/dGWVnZNY4gMn3bjhVg+4lCWEkleOOeCK4HRURkIjr0r7WLi4v2iU1WVhaXYCCzd6FGhYU/HgcAPDkmmGtCERGZkA41S91zzz0YPXo0fHx8IJFIMHToUMhk7a+Tc+7cOb0WSGQMS345idJqFfp6OmDO2D7GLoeIiHTQoXDz0UcfYdKkSUhPT8fcuXPx6KOPwtHR0dC1ERnFrtPF2JycB6kEeOPecC54SURkYjo8Wuq2224DACQmJmLevHkMN2SWquob8d8txwAAM0f2wmDOOExEZHJ0Hgr+2WefGaIOom5h+W+nUVBZj0A3Ozx3a39jl0NERJ3A4R9EFyVklOHrv7MBAMsnhcNWzuYoIiJTxHBDBKBOpcaLm1MBAA9GByAm2M3IFRERUWcx3BABWLHjDM6X1cLH2QYLbg8xdjlERHQdGG7I4qXkVOCT/c3zOC27exAcbayNXBEREV2PToWbL7/8EiNHjoSvry/Onz8PAFi5ciV+/PFHvRZH1BXe2H4aGgHcPdgPN4d4GrscIiK6TjqHmw8++ADz58/Hv//9b1RUVECtVgNonsV45cqV+q6PyKDUGoHk7AoAwFNjgo1bDBER6YXO4ebdd9/FunXr8NJLL7WapXjo0KE4duyYXosjMrTM0hrUNaphay1Dbw8HY5dDRER6oHO4yczMxODBg9tsVygUqKmp0UtRRF3lRH4lACDUxxEyqcTI1RARkT7oHG569eqFlJSUNtu3b9+O0NBQfdRE1GVO5CsBAGG+zkauhIiI9EXnGYrnz5+P2bNno76+HkIIHDp0CN9++y3i4uLw8ccfG6JGIoNpeXITxlW/iYjMhs7hZtasWbC1tcXLL7+M2tpaPPjgg/D19cWqVavwwAMPGKJGIoMQQuB4XvOTm4F+fHJDRGQudA43ADB16lRMnToVtbW1qK6uhqcnh8+S6cmrqENlXSOspBL09WJnYiIic6Fzn5vXX38dmZnNE57Z2dkx2JDJaulv09fLEQorriNFRGQudA4333//Pfr06YMRI0bg/fffR2lpqSHqIjK4E3nN/W0Gsr8NEZFZ0TncHD16FKmpqRgzZgzeeust+Pr64o477sA333yD2tpaQ9RIZBCXRkox3BARmZNOLb8QFhaGZcuW4dy5c9i1axeCgoLwzDPPwNvbW9/1ERmMNtywMzERkVm57oUz7e3tYWtrC7lcjsbGRn3URGRwpdUNKFTWQyIBQn345IaIyJx0KtxkZmZi6dKlCAsLw9ChQ5GcnIzFixejsLBQ3/URGUTLU5tebvZwUHRq0CAREXVTOv+rfsMNN+Dw4cMIDw/HjBkzMGXKFPj5+RmiNiKDaZm8bwD72xARmR2dw80tt9yCTz/9FAMGDDBEPURdgssuEBGZL53DzdKlSw1RB1GX0g4D9+OTGyIic9OhcDN//nwsWbIE9vb2mD9//lX3XbFihV4KIzKUqvpGZJU1T1vAJzdEROanQ+EmOTlZOxIqOTnZoAURGdqpgioAgI+zDXrYy41cDRER6VuHws2uXbva/TORKTqe17ISOJ/aEBGZI52Hgs+cORNVVVVtttfU1GDmzJl6KYrIkDgzMRGRedM53Hz++eeoq6trs72urg5ffPGFXooiMqSWYeAMN0RE5qnDo6WUSiWEEBBCoKqqCjY2Ntr31Go1tm3bxhXCqcuoNQLv70pHf29H3BrW8WU/6hvVOFtcDQAYyGUXiIjMUofDjYuLCyQSCSQSCfr169fmfYlEgsWLF+u1OKIr+floPt7ekQY7uQyHX4qFfQdnGU4rqoJaI+BqZw0fZ5trH0BERCanw+Fm165dEEJg7Nix+OGHH9CjRw/te3K5HIGBgfD19TVIkUSXE0Jg7Z4MAECtSo3fTxRi0pCeHTr28sn7JBKJwWokIiLj6XC4GT16NIDmdaUCAgL4xUBGs/dsKU4XXurUvjkpr8PhRjtSipP3ERGZLZ07FO/cuRObNm1qs/3777/H559/rpeiiK7mw4tPbcaFeQEA/sooRWFlfYeO5bILRETmT+dwExcXB3d39zbbPT09sWzZMr0URXQlx3IrcSCjDDKpBAvHh2F4rx4QAtiaknfNY9UagdOFHAZORGTudA432dnZ6NWrV5vtgYGByM7O1ktRRFfy4d7mpzYTInzh52KLSYObV6T/ITEXQoirHnuupBr1jRrYy2Xo5WZv8FqJiMg4dA43np6eSE1NbbP96NGjcHNz00tRRO3JLqvFtmMFAIBHR/UGAPw73AdyKynOFldrm5yu5PjF+W1CfZwglbLPGBGRudI53EyZMgVz587Frl27oFaroVarsXPnTsybNw8PPPCAIWokAgB8vP8cNAK4qZ8HBlxsVnKyscatA5r73vyQlHvV40/ksUmKiMgS6BxulixZgujoaNxyyy2wtbWFra0tbr31VowdO5Z9bshgyqob8N2RHADAEzf1bvXePRdHSv2Uko9GteaK59B2JubkfUREZq3DQ8FbyOVybNy4EUuWLMHRo0dha2uLQYMGITAw0BD1EQEAvkg4j/pGDQb5OSMmuHXz56i+7nB3kKO0WoV9Z0swNsSrzfFCCC67QERkIXQONy2CgoIghEBwcDCsrDp9GqJrqlOp8UVCFgDg8dG928yxZCWTYkKEHz79KxM/JOW1G25yL9RBWd8Ea5kEfT0du6JsIiIyEp2bpWpra/HII4/Azs4OYWFh2hFSTz/9NJYvX673Aom+T8zBhdpG+PewxW1XWEdq0pDmUVM7Thahsq6xzfstT236eTlCbqXzX3siIjIhOv8rv2DBAhw9ehS7d+9utXhmbGwsNm7cqNfiiJrUGqzbdw5A8wgpK1n7f2XDfJ3Q38sRqiaNdkTV5Y5f7Ew8kJP3ERGZPZ3DzdatW7FmzRrceOONrZoHwsLCkJGRodfiiH47Xoic8jq42lnjvij/K+4nkUi0T282tzNqStvfhssuEBGZPZ3DTUlJCTw9Pdtsr6mp4XpTpFdCCO2kfdNHBMFWLrvq/hMH+0EqAQ5nXUB2WW2r9y4tu8BwQ0Rk7nQON0OHDsWvv/6q/bkl0Hz88ceIiYnRX2Vk8RIyynA8TwkbaymmxQRdc38vJxuM7NO8NMiW5EvLMRRX1aO4qgESSfMEfkREZN50Hua0bNky3H777Th58iSampqwatUqnDx5EgcOHMCePXsMUSNZqLV7m/va3D/UHz3s5R06ZtIQP+w7W4rNybmYe0sfSCQS7VOb3u72sJNzZB8RkbnT+cnNjTfeiJSUFDQ1NWHQoEH4448/4OnpiYSEBERFRRmiRrJAJ/OV2JtWAqkEmHVj72sfcNG4MG/YyWU4X1aLpOwL2nMBXAmciMhSdOrX2ODgYKxbt07ftRBpfXSxr82/B/kgwM2uw8fZya1w+0Af/JCUix+S8hAV2APH85o7Ew9kZ2IiIovQoSc3SqWy1Z+v9mpqajJYsWQZcspr8XNq83Dux28K1vn4ey6OmvrlaD7qG9WXdSbmkxsiIkvQoXDj6uqK4uJiAICLiwtcXV2v+LKxsUFoaCh27dpl0MLJPFXUqjDr8yNQawRG9nHDoJ66B5IbervB19kGyvom/JSSj+zy5pFTHClFRGQZOtQstXPnTvTo0QMArhlaGhoasHXrVjz55JM4ffr09VdIFqOmoQkPf3YYZ4qq4OmoQNzd4Z06j1QqwcTBfnh/dwbe+uMMAMDPxRYudh3rlExERKatQ+Fm9OjR7f75SiIjI3Ho0KEOF/Hee+/hzTffRGFhISIiIvDuu+9i+PDh7e67bt06fPHFFzh+/DgAICoqCsuWLbvi/mQaGprUePzLRKTkVMDFzhpfzYrWqa/NP00a0hxuiqsaAPCpDRGRJenUIjtqtRqbNm3CkiVLsGTJEvzwww+t+tp4enriyJEjHTrXxo0bMX/+fCxatAhJSUmIiIjAuHHjtM1g/7R7925MmTIFu3btQkJCAvz9/XHrrbciLy+v3f2p+2tSazDv2xTsTy+FnVyGzx4ehn5e17e4ZR9PR4Rf1qTF/jZERJZDIoQQuhxw4sQJTJgwAYWFhejfvz8AIC0tDR4eHvj5558xcOBAnQqIjo7GsGHDsGbNGgCARqOBv78/nn76abz44ovXPF6tVsPV1RVr1qzBtGnTrrm/UqmEs7MzKisr4eTE3+aNTQiBF35IxXdHciGXSfHZjGHaifiu1/q/MvHqzycBAJ9MH4pbQtuuFk5ERKZBl+9vnZ/czJo1C2FhYcjNzUVSUhKSkpKQk5OD8PBwPPbYYzqdS6VSITExEbGxsZcKkkoRGxuLhISEDp2jtrYWjY2N2j5BZDqEEFj66yl8dyQXUgmwespgvQUbABgf4Qu5TAqZVIJBfnxyQ0RkKXSe5yYlJQVHjhyBq6urdpurqyuWLl2KYcOG6XSu0tJSqNVqeHm1/o3ay8urw52RX3jhBfj6+rYKSJdraGhAQ0OD9ufLh7WTcb23Kx0f788EAPzvnnDcNtBbr+d3c1Bg/cxhqG9Uw9PJ5toHEBGRWdD5yU2/fv1QVFTUZntxcTH69Omjl6I6avny5diwYQO2bNkCG5v2v7zi4uLg7Oysffn7X3llaeo6XyZk4a0/0gAAr9w5APcNNcz/LyOC3TE2hM1RRESWpMOT+LW84uLiMHfuXGzatAm5ubnIzc3Fpk2b8Mwzz+B///ufThd3d3eHTCZrE5aKiorg7X313+LfeustLF++HH/88QfCw688ZHjBggWorKzUvnJycnSqsas1NKmb+4r8dAINTWpjl2MQP6bkYeFPJwAAc8f2wSM39jJyRUREZE461Czl4uKiXf0baO4rcf/992u3tfRJHj9+PNTqjn8hy+VyREVFIT4+HhMnTgTQ3KE4Pj4ec+bMueJxb7zxBpYuXYrff/8dQ4cOveo1FAoFFApFh2syFrVGYEtyHt7ZkYa8ijoAwIhgN9wapt+mGmPbf7YUz313FEIA02MC8ey/+hm7JCIiMjMdCjeGnG14/vz5mD59OoYOHYrhw4dj5cqVqKmpwYwZMwAA06ZNg5+fH+Li4gAA//vf/7Bw4UJ88803CAoKQmFhIQDAwcEBDg4OBqvTUIQQ+PNUMd78/TTSiqpbvXe6sMqswo0QAsu2nUKTRuCuSF8sGh/WKjQTERHpg86T+Onb5MmTUVJSgoULF6KwsBCRkZHYvn27tpNxdnY2pNJLrWcffPABVCoV7r333lbnWbRoEV599VWD1WkIh7PK8b/fTuPI+ebVq51srPDUzX2gatJgxY40nCmsMnKF+pWQUYaTBUrYWsuweEIYpFIGGyIi0r9OrQpeUVGBTz75BKdOnQIAhIWFYebMmXB27txw2zlz5lyxGWr37t2tfs7KyurUNbqT04VKvLH9DHaebp6o0MZaihkje+GJm4LhbGeNPWkl2v3MScvIqHujenIpBCIiMhidw82RI0cwbtw42Nraapc8WLFiBZYuXYo//vgDQ4YM0XuR5mTZtlNYt+8chABkUgkmD/PHvFv6wuuyocoh3s2z82aV1aK+UQ0ba5mxytWb9OIq7DxdDIkEmMkOxEREZEA6h5tnn30WEyZMwLp162Bl1Xx4U1MTZs2ahWeeeQZ79+7Ve5HmIq2oCh/tPQcAuGOQD567tR96e7TtJ+TpqICLnTUqahuRXlyNgWYwAd0n+7MAALGhXujlbm/cYoiIyKzpPM/NkSNH8MILL2iDDQBYWVnhP//5T4fXk7JUW5Ob17+KDfXCe1OHtBtsAEAikaD/xbWVTptBv5uy6gZsTsoFADw6qreRqyEiInOnc7hxcnJCdnZ2m+05OTlwdLy+xQ7NmUYj8GNKPgBg4mDfa+4f6tO8bsYZM+h389XBbDQ0aRDe0xnDglyvfQAREdF10DncTJ48GY888gg2btyInJwc5OTkYMOGDZg1axamTJliiBrNwpHzF5BXUQcHhRViO7CAY39v83hyU9+oxpcHswAAs0b15tBvIiIyOJ373Lz11luQSCSYNm0ampqaAADW1tZ48sknsXz5cr0XaC62pjQ3Sd020LtDHYRbwo2pDwf/MSUPpdUq+Drb4HY9rx1FRETUHp3DjVwux6pVqxAXF4eMjAwAQHBwMOzs7PRenLlQNWnwa2oBAGBipF+Hjul3sc9NcVUDLtSo4GpvekOnhRD4eF/z8O+HRwbBWqbzg0IiIiKddfrbxs7ODoMGDcKgQYMYbK5h95liVNY1wtNRgZhgtw4d46Cwgn8PWwCm2zS192wpzhZXw14uwwPDA4xdDhERWQj+Kt0FWjoST4jwhUyHWXn7ezV3KjbVyfw+3tc87H3ysAA42VgbuRoiIrIUDDcGpqxvxJ+nmlc9nzi4Y01SLUJMuN/N6UIl9p0thVQCzBgZZOxyiIjIgjDcGNj244VoaNKgj6cDwnyddDo2xMd0R0y19LW5faAP/Huw2ZKIiLoOw42B/XhxlNTESF+dh0G3PLlJK6qCRiP0XpuhFCvrtZ971igutUBERF2L4caAipT1OJBRBgC4q4OjpC4X5GYPuZUUtSo1ci/U6bs8g/ki4Twa1QJRga4YHMBJ+4iIqGsx3BjQTyn5EAIYGujaqaYZK5kUfS4u0WAqnYrrVGp89fd5AMCjfGpDRERGwHBjQC0T992lY0fiy5lap+IfknJRUdsI/x62+NcATtpHRERdj+HGQM4WVeFEvhJWUgnuHOTT6fOY0jIMGo3Ap/ubOxLPHNlLp2HvRERE+sJwYyAtT23G9Pe4rtmFQ3xMZ66bnaeLca60Bo42Vrh/qL+xyyEiIgvFcGMAQlxaAbwzHYkv19IslVVWi/pG9XXXZkifJ2QBAB6MDoC9QueVPYiIiPSC4cYAEs9fQO6Fjq8AfjWejgq42FlDrRFIL67WU4X6p6xvRMLFkWEPcqkFIiIyIoYbA9iS3NwkNS7MG7bya68AfjUSiQT9vbp/p+K/zpaiSSPQ28MegW72xi6HiIgsGMONnqmaNPj12MUVwAf76uWc2hFTRd033Ow6UwwAuLm/p5ErISIiS8dwo2d700pQUdsID0cFRgS76+Wc/b2bOxWfKuienYqFENh1pgQAww0RERkfw42ebbk4SkrXFcCvpn83n+vmRL4SJVUNsJPLMKwXZyQmIiLjYrjRo6r6Rvx58uIK4Nc5SupyLeGmuKoBF2pUejuvvuy+2CQ1ItgdCqvr62NERER0vRhu9Oj3E0VoaNIg2MMeA/10WwH8ahwUVvDvYQuge07mt7ulSSrEw8iVEBERMdzo1dbklhXA/XReAfxa+ns1h6Uz3Wwyv4paFZKyLwAAxrC/DRERdQMMN3pSrKzHgYxSANc/cV97uuuIqb1nS6ERQH8vR/i52Bq7HCIiInAaWT1JzqmAVCLB4AAXBLjpvgL4tbT0uzlV0L3Cze7Tzf1txrBJioiIugmGGz0ZF+aNwy/FoqS6wSDnb3lyk1ZUBY1GQNoNFqXUaAR2p3EIOBERdS9sltIjV3s5+l2cTVjfernbQy6TolalRu6FOoNcQ1epeZUor1HBUWGFqEAOASciou6B4cZEWMmk6OPpAKD7rBC+62KT1Kh+7rCW8a8SERF1D/xGMiEh3Wwyv5b5bcb0Y5MUERF1Hww3JqSlU/HpbjBiqqSqAUdzKwEAo/uzMzEREXUfDDcmRBtuusEaU3svdiQO83WCl5ONkashIiK6hOHGhIRcXEAzq6wW9Y1qo9bCUVJERNRdMdyYEC8nBZxtraHWCKQXVxutjia1RvvkhksuEBFRd8NwY0IkEkm36FScklOByrpGuNhZI9KfQ8CJiKh7YbgxMd1hGYZdF0dJ3dTXA7JuMJkgERHR5RhuTEz/i/1ujLk6+K7TbJIiIqLui+HGxBh7xFRhZT1OFighkTQ/uSEiIupuGG5MTEu4Ka5qwIUaVZdff09ac5NUeE8XuDkouvz6RERE18JwY2IcFFbo6WoLwDhNU9omKU7cR0RE3RTDjQlqme/mTBevMaVq0mB/eikAzm9DRETdF8ONCTLWiKkj58tR3dAEN3s5Bvk5d+m1iYiIOorhxgRpOxV3cbPUnjPNTVKj+3tAyiHgRETUTTHcmKCWJzdphVXQaESXXbdlfhs2SRERUXfGcGOCgtztIZdJUaNSI/dCXZdcM/dCLdKKqiHlEHAiIurmGG5MkLVMimBPBwDA6S7qVLz7YpPUkABXONtZd8k1iYiIOoPhxkSF+jQ3TR3Lq+yS6+1uaZIKYZMUERF1bww3JiqmtxsAYO/ZUoNfS60R+Cu9DAAwuh+bpIiIqHtjuDFRLSEjNbcC5QaeqTi/og51jWrIraQI9XEy6LWIiIiuF8ONifJ0skGojxOEAPadLTHotc6V1gAAgtzsuAo4ERF1eww3Juymfu4AgD1phg03mSXVAIBe7vYGvQ4REZE+MNyYsJamqb1ppQad7ybz4pObXu4OBrsGERGRvjDcmLChgT1gJ5ehtLoBJwsMNyS8pVmqN5/cEBGRCWC4MWFyKylGBBu+aUr75MaD4YaIiLo/hhsTN7p/c9OUocJNfaMaeRXNsyCzzw0REZkChhsTN/riUghJ5y9AWd+o9/Nnl9dCCMDRxgpu9nK9n5+IiEjfGG5MXICbHXq726NJI3Dg4kR7+nSupKUzsT0kEg4DJyKi7o/hxgzc1M9wTVNZZZfCDRERkSlguDEDLf1u9qaVQAj9DgnPLGG4ISIi08JwYwZu6OUGuZUUeRV1yLg44Z6+XJrjhuGGiIhMA8ONGbCVyxDdqwcAYPcZ/TZNXZrjhhP4ERGRaWC4MROjDdDvRlnfiNLqBgBAkLud3s5LRERkSAw3ZmLMxX43f2eWo06l1ss5sy4+tfFwVMDRxlov5yQiIjI0hhszEezhAD8XW6iaNDiYqZ8h4exvQ0REpqhbhJv33nsPQUFBsLGxQXR0NA4dOnTV/b///nuEhITAxsYGgwYNwrZt27qo0u5LIpFcGhKup343LXPccE0pIiIyJUYPNxs3bsT8+fOxaNEiJCUlISIiAuPGjUNxcXG7+x84cABTpkzBI488guTkZEycOBETJ07E8ePHu7jy7ufSKuH6CTctT26CGG6IiMiEGD3crFixAo8++ihmzJiBAQMGYO3atbCzs8Onn37a7v6rVq3Cbbfdhueffx6hoaFYsmQJhgwZgjVr1nRx5d3PiD5usJJKcK60Btlltdd9Pk7gR0REpsio4UalUiExMRGxsbHabVKpFLGxsUhISGj3mISEhFb7A8C4ceOuuL8lcbKxxpBAVwDAnrPX9/RGCKGdwI/NUkREZEqMGm5KS0uhVqvh5eXVaruXlxcKCwvbPaawsFCn/RsaGqBUKlu9zNloPfW7Ka1WoaqhCRJJ8/pVREREpsLozVKGFhcXB2dnZ+3L39/f2CUZVEu4ScgohapJ0+nztPS36elqC4WVTC+1ERERdQWjhht3d3fIZDIUFRW12l5UVARvb+92j/H29tZp/wULFqCyslL7ysnJ0U/x3dQAHye4OyhQo1Ij8fyFTp8ns7R5GYdenJmYiIhMjFHDjVwuR1RUFOLj47XbNBoN4uPjERMT0+4xMTExrfYHgB07dlxxf4VCAScnp1YvcyaVSnBTX3cA1zdb8aVlF9jfhoiITIvRm6Xmz5+PdevW4fPPP8epU6fw5JNPoqamBjNmzAAATJs2DQsWLNDuP2/ePGzfvh1vv/02Tp8+jVdffRVHjhzBnDlzjPURup2WVcKvJ9xwNXAiIjJVVsYuYPLkySgpKcHChQtRWFiIyMhIbN++XdtpODs7G1LppQw2YsQIfPPNN3j55Zfx3//+F3379sXWrVsxcOBAY32EbufGPu6QSIBTBUoUKevh5WSj8zk4OzEREZkqiRBCGLuIrqRUKuHs7IzKykqzbqK6a81+HM2txJv3huO+obp1olZrBEJf2Q6VWoN9/7kZ/j04WoqIiIxLl+9vozdLkWFczyrh+RV1UKk1kMuk8HWx1XdpREREBsVwY6Za+t3sO1sKtUa3h3MtTVKBbnaQSSV6r42IiMiQGG7MVERPFzjZWKGyrhFHcyt0Opb9bYiIyJQx3JgpK5kUo/o2P73ZreNsxdpw48FwQ0REpofhxoy19LvZfab9FdavhHPcEBGRKWO4MWNjQprDTWpuJYqU9R0+jrMTExGRKWO4MWOejjaI8HcBAOw83bGnNw1NauReqAPAPjdERGSaGG7MXGyIJwAg/lTHwk12WS2EABwVVnB3kBuyNCIiIoNguDFzt4Q2z/S8P70E9Y3qa+5/7rLOxBIJh4ETEZHpYbgxc6E+jvB1tkF9owYHMkqvuX/WxXAT5MYmKSIiMk0MN2ZOIpFgbGhz09SfHWia4hw3RERk6hhuLEBL09TOU8W41lJi2mHgnOOGiIhMFMONBYjp7QY7uQyFynqcyFdedV8+uSEiIlPHcGMBbKxluLGPO4Crj5qqqm9ESVUDACCI4YaIiEwUw42FiL3YNBV/uuiK+2SV1gIA3B0UcLKx7pK6iIiI9I3hxkJ0ZLbicxdnJuayC0REZMoYbixER2YrZn8bIiIyBww3FuTSbMXtN01lcTVwIiIyAww3FuTSbMWl7c5WnMkJ/IiIyAww3FiQq81WLITgHDdERGQWGG4syNVmKy6rUaGqvgkSCRDQw84Y5REREekFw42FudJsxS1NUn4utrCxlhmlNiIiIn1guLEwV5qtOLOEI6WIiMg8MNxYmMtnK/7zslFT2v42DDdERGTiGG4sUMtsxZfPd5N5cQI/PrkhIiJTx3BjgdqbrVg7gZ+Hg9HqIiIi0geGGwv0z9mKNRqBrLLmdaXYLEVERKaO4cZCXT5bcX5lHVRNGshlUvi62Bq5MiIiouvDcGOhLp+t+FRBFQAgwM0OMqnEmGURERFdN4YbC3X5bMVf/30eADsTExGReWC4sVCXz1a8+0wJAPa3ISIi88BwY8FamqZa8MkNERGZA4YbC9YyW3ELhhsiIjIHDDcW7PLZigGgF1cDJyIiM8BwY+FaZit2UFjBw0Fh5GqIiIiun5WxCyDjGjfQGxuP5GB4rx6QSDgMnIiITB/DjYVztrXGD0+OMHYZREREesNmKSIiIjIrDDdERERkVhhuiIiIyKww3BAREZFZYbghIiIis8JwQ0RERGaF4YaIiIjMCsMNERERmRWGGyIiIjIrDDdERERkVhhuiIiIyKww3BAREZFZYbghIiIis8JwQ0RERGbFytgFdDUhBABAqVQauRIiIiLqqJbv7Zbv8auxuHBTVVUFAPD39zdyJURERKSrqqoqODs7X3UfiehIBDIjGo0G+fn5cHR0hEQi0eu5lUol/P39kZOTAycnJ72em9ri/e5avN9di/e7a/F+d63O3G8hBKqqquDr6wup9Oq9aizuyY1UKkXPnj0Neg0nJyf+x9GFeL+7Fu931+L97lq8311L1/t9rSc2LdihmIiIiMwKww0RERGZFYYbPVIoFFi0aBEUCoWxS7EIvN9di/e7a/F+dy3e765l6PttcR2KiYiIyLzxyQ0RERGZFYYbIiIiMisMN0RERGRWGG6IiIjIrDDc6Ml7772HoKAg2NjYIDo6GocOHTJ2SWZj7969GD9+PHx9fSGRSLB169ZW7wshsHDhQvj4+MDW1haxsbE4e/ascYo1cXFxcRg2bBgcHR3h6emJiRMn4syZM632qa+vx+zZs+Hm5gYHBwfcc889KCoqMlLFpu2DDz5AeHi4diKzmJgY/Pbbb9r3ea8Na/ny5ZBIJHjmmWe023jP9efVV1+FRCJp9QoJCdG+b8h7zXCjBxs3bsT8+fOxaNEiJCUlISIiAuPGjUNxcbGxSzMLNTU1iIiIwHvvvdfu+2+88QZWr16NtWvX4u+//4a9vT3GjRuH+vr6Lq7U9O3ZswezZ8/GwYMHsWPHDjQ2NuLWW29FTU2Ndp9nn30WP//8M77//nvs2bMH+fn5mDRpkhGrNl09e/bE8uXLkZiYiCNHjmDs2LG46667cOLECQC814Z0+PBhfPjhhwgPD2+1nfdcv8LCwlBQUKB97d+/X/ueQe+1oOs2fPhwMXv2bO3ParVa+Pr6iri4OCNWZZ4AiC1btmh/1mg0wtvbW7z55pvabRUVFUKhUIhvv/3WCBWal+LiYgFA7NmzRwjRfG+tra3F999/r93n1KlTAoBISEgwVplmxdXVVXz88ce81wZUVVUl+vbtK3bs2CFGjx4t5s2bJ4Tg3299W7RokYiIiGj3PUPfaz65uU4qlQqJiYmIjY3VbpNKpYiNjUVCQoIRK7MMmZmZKCwsbHX/nZ2dER0dzfuvB5WVlQCAHj16AAASExPR2NjY6n6HhIQgICCA9/s6qdVqbNiwATU1NYiJieG9NqDZs2fjjjvuaHVvAf79NoSzZ8/C19cXvXv3xtSpU5GdnQ3A8Pfa4hbO1LfS0lKo1Wp4eXm12u7l5YXTp08bqSrLUVhYCADt3v+W96hzNBoNnnnmGYwcORIDBw4E0Hy/5XI5XFxcWu3L+915x44dQ0xMDOrr6+Hg4IAtW7ZgwIABSElJ4b02gA0bNiApKQmHDx9u8x7/futXdHQ01q9fj/79+6OgoACLFy/GqFGjcPz4cYPfa4YbImrX7Nmzcfz48VZt5KR//fv3R0pKCiorK7Fp0yZMnz4de/bsMXZZZiknJwfz5s3Djh07YGNjY+xyzN7tt9+u/XN4eDiio6MRGBiI7777Dra2tga9NpulrpO7uztkMlmbHt5FRUXw9vY2UlWWo+Ue8/7r15w5c/DLL79g165d6Nmzp3a7t7c3VCoVKioqWu3P+915crkcffr0QVRUFOLi4hAREYFVq1bxXhtAYmIiiouLMWTIEFhZWcHKygp79uzB6tWrYWVlBS8vL95zA3JxcUG/fv2Qnp5u8L/fDDfXSS6XIyoqCvHx8dptGo0G8fHxiImJMWJllqFXr17w9vZudf+VSiX+/vtv3v9OEEJgzpw52LJlC3bu3IlevXq1ej8qKgrW1tat7veZM2eQnZ3N+60nGo0GDQ0NvNcGcMstt+DYsWNISUnRvoYOHYqpU6dq/8x7bjjV1dXIyMiAj4+P4f9+X3eXZBIbNmwQCoVCrF+/Xpw8eVI89thjwsXFRRQWFhq7NLNQVVUlkpOTRXJysgAgVqxYIZKTk8X58+eFEEIsX75cuLi4iB9//FGkpqaKu+66S/Tq1UvU1dUZuXLT8+STTwpnZ2exe/duUVBQoH3V1tZq93niiSdEQECA2Llzpzhy5IiIiYkRMTExRqzadL344otiz549IjMzU6SmpooXX3xRSCQS8ccffwgheK+7wuWjpYTgPden5557TuzevVtkZmaKv/76S8TGxgp3d3dRXFwshDDsvWa40ZN3331XBAQECLlcLoYPHy4OHjxo7JLMxq5duwSANq/p06cLIZqHg7/yyivCy8tLKBQKccstt4gzZ84Yt2gT1d59BiA+++wz7T51dXXiqaeeEq6ursLOzk7cfffdoqCgwHhFm7CZM2eKwMBAIZfLhYeHh7jlllu0wUYI3uuu8M9ww3uuP5MnTxY+Pj5CLpcLPz8/MXnyZJGenq5935D3WiKEENf//IeIiIioe2CfGyIiIjIrDDdERERkVhhuiIiIyKww3BAREZFZYbghIiIis8JwQ0RERGaF4YaIiIjMCsMNkQUZM2YMnnnmGWOX0YZEIsHWrVuNXYbBvPrqq4iMjDR2GUQWg+GGyIJs3rwZS5Ys0f4cFBSElStXdtn1r/QlX1BQ0GoFYSKi62Fl7AKIqOv06NHDIOdVqVSQy+WdPp4rLndOY2MjrK2tjV0GUbfDJzdEFuTyZqkxY8bg/PnzePbZZyGRSCCRSLT77d+/H6NGjYKtrS38/f0xd+5c1NTUaN8PCgrCkiVLMG3aNDg5OeGxxx4DALzwwgvo168f7Ozs0Lt3b7zyyitobGwEAKxfvx6LFy/G0aNHtddbv349gLbNUseOHcPYsWNha2sLNzc3PPbYY6iurta+//DDD2PixIl466234OPjAzc3N8yePVt7rfa0PDX68ssvERQUBGdnZzzwwAOoqqpq9bn++SQrMjISr776qvZniUSCDz/8EHfeeSfs7OwQGhqKhIQEpKenY8yYMbC3t8eIESOQkZHRpoYPP/wQ/v7+sLOzw/3334/KyspW73/88ccIDQ2FjY0NQkJC8P7772vfy8rKgkQiwcaNGzF69GjY2Njg66+/vuLnJbJkDDdEFmrz5s3o2bMnXnvtNRQUFKCgoAAAkJGRgdtuuw333HMPUlNTsXHjRuzfvx9z5sxpdfxbb72FiIgIJCcn45VXXgEAODo6Yv369Th58iRWrVqFdevW4Z133gEATJ48Gc899xzCwsK015s8eXKbumpqajBu3Di4urri8OHD+P777/Hnn3+2uf6uXbuQkZGBXbt24fPPP8f69eu1YelKMjIysHXrVvzyyy/45ZdfsGfPHixfvlzne9cS7FJSUhASEoIHH3wQjz/+OBYsWIAjR45ACNGm3vT0dHz33Xf4+eefsX37diQnJ+Opp57Svv/1119j4cKFWLp0KU6dOoVly5bhlVdeweeff97qPC+++CLmzZuHU6dOYdy4cTrXTmQR9LL8JhGZhH+ugBwYGCjeeeedVvs88sgj4rHHHmu1bd++fUIqlYq6ujrtcRMnTrzm9d58800RFRWl/XnRokUiIiKizX4AxJYtW4QQQnz00UfC1dVVVFdXa9//9ddfhVQqFYWFhUIIIaZPny4CAwNFU1OTdp/77rtPTJ48+Yq1LFq0SNjZ2QmlUqnd9vzzz4vo6Gjtz+3dj4iICLFo0aJWtb788svanxMSEgQA8cknn2i3ffvtt8LGxqbVtWUymcjNzdVu++2334RUKtWughwcHCy++eabVtdesmSJiImJEUIIkZmZKQCIlStXXvEzElEz9rkholaOHj2K1NTUVk0eQghoNBpkZmYiNDQUADB06NA2x27cuBGrV69GRkYGqqur0dTUBCcnJ52uf+rUKURERMDe3l67beTIkdBoNDhz5gy8vLwAAGFhYZDJZNp9fHx8cOzYsaueOygoCI6Ojq2OKS4u1qk+AAgPD9f+uaWeQYMGtdpWX18PpVKp/fwBAQHw8/PT7hMTE6P9TI6OjsjIyMAjjzyCRx99VLtPU1MTnJ2dW127vftORK0x3BBRK9XV1Xj88ccxd+7cNu8FBARo/3x5+ACAhIQETJ06FYsXL8a4cePg7OyMDRs24O233zZInf/sSCuRSKDRaK7rGKlUCiFEq33a68dz+Xla+iq1t+1a9bRo6U+0bt06REdHt3rv8gAHtL3vRNQWww2RBZPL5VCr1a22DRkyBCdPnkSfPn10OteBAwcQGBiIl156Sbvt/Pnz17zeP4WGhmL9+vWoqanRfpH/9ddfkEql6N+/v0416crDw0Pb9wgAlEolMjMz9XLu7Oxs5Ofnw9fXFwBw8OBB7Wfy8vKCr68vzp07h6lTp+rlekSWjB2KiSxYUFAQ9u7di7y8PJSWlgJoHvF04MABzJkzBykpKTh79ix+/PHHNh1k/6lv377Izs7Ghg0bkJGRgdWrV2PLli1trpeZmYmUlBSUlpaioaGhzXmmTp0KGxsbTJ8+HcePH8euXbvw9NNP46GHHtI2ARnK2LFj8eWXX2Lfvn04duwYpk+f3ubJSWe1fKajR49i3759mDt3Lu6//37tMPjFixcjLi4Oq1evRlpaGo4dO4bPPvsMK1as0Mv1iSwJww2RBXvttdeQlZWF4OBgeHh4AGjuT7Jnzx6kpaVh1KhRGDx4MBYuXKh94nAlEyZMwLPPPos5c+YgMjISBw4c0I6ianHPPffgtttuw8033wwPDw98++23bc5jZ2eH33//HeXl5Rg2bBjuvfde3HLLLVizZo3+PvgVLFiwAKNHj8add96JO+64AxMnTkRwcLBezt2nTx9MmjQJ//73v3HrrbciPDy81VDvWbNm4eOPP8Znn32GQYMGYfTo0Vi/fj169eqll+sTWRKJ+GcDMxEREZEJ45MbIiIiMisMN0RERGRWGG6IiIjIrDDcEBERkVlhuCEiIiKzwnBDREREZoXhhoiIiMwKww0RERGZFYYbIiIiMisMN0RERGRWGG6IiIjIrDDcEBERkVn5/4VV83SsBw19AAAAAElFTkSuQmCC",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.plot(Js)\n",
-    "plt.xlabel(\"iteration number\")\n",
-    "plt.ylabel(\"objective function\")\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c9b97d20-1e6b-4b4c-9f35-fc3c21903e24",
-   "metadata": {},
-   "source": [
-    "### Final Simulation\n",
-    "\n",
-    "Let's take a look at the final simulation, which we grab from our history."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "id": "a20e8905-5699-47c8-8a97-26db6f5935c6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sim_data_final = data_history[-1]\n",
-    "sim_final = sim_data_final.simulation"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "54b3fc86-97d6-4bf7-99c1-347037583269",
-   "metadata": {},
-   "source": [
-    "We notice that the structure has reasonably large feature sizes but is not well binarized. This could be improved by increasing the `beta` projection value slowly over iteration number, as was done in the [grating coupler tutorial](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin6GratingCoupler/)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "id": "4ff1a822-6656-424c-8136-febe9672b20f",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ax = sim_final.plot_eps(z=0.01, monitor_alpha=0, source_alpha=0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d13065bd-e796-485f-8a18-1a55f0ebf2bd",
-   "metadata": {},
-   "source": [
-    "### Flux\n",
-    "\n",
-    "Let's inspect the flux over each of the output ports as a function of wavelength.\n",
-    "\n",
-    "We notice that the top and bottom ports have peaks in transmission at their corresponding design wavelengths, as expected!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "id": "73629989-47bf-4dc4-8ed3-a518dd2cac1f",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# plot flux\n",
-    "for key, color in zip((\"top\", \"bot\"), (\"royalblue\", \"firebrick\")):\n",
-    "    freq = freqs[key]\n",
-    "    flux_data = sim_data_final[flux_mnt_names[key]]\n",
-    "    wvl_nm = 1000 * td.C_0 / freq\n",
-    "    wavelengths_nm = 1000 * td.C_0 / np.array(flux_data.flux.f)\n",
-    "    flux = np.array(flux_data.flux.values)\n",
-    "    flux_db = 10 * np.log(flux)\n",
-    "    label = f\"{key} ({int(wvl_nm)} nm)\"\n",
-    "    plt.plot(wavelengths_nm, flux_db, label=label, color=color)\n",
-    "    plt.scatter([wvl_nm], [0], 100, marker=\"*\", color=color)\n",
-    "    plt.xlabel(\"wavelength (nm)\")\n",
-    "    plt.ylabel(\"transmission (dB)\")\n",
-    "    plt.legend()\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "5423e5c7-5e00-4a8f-b0fd-ccdbe1afc42c",
-   "metadata": {},
-   "source": [
-    "### Fields\n",
-    "\n",
-    "Let's also plot the field intensity patterns at the two design wavelengths. We see from this plot the expected result that the power is directed to the design port at each frequency."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "id": "3f5c895a-4543-4e2a-b34d-3aeab61c5914",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# plot fields at the two design wavelengths\n",
-    "\n",
-    "fig, axes = plt.subplots(1, 2, tight_layout=True, figsize=(7, 3))\n",
-    "\n",
-    "for key, ax in zip((\"top\", \"bot\"), axes):\n",
-    "    freq = freqs[key]\n",
-    "    sim_data_final.plot_field(\"field\", \"E\", \"abs^2\", f=freq, ax=ax, vmax=1200)\n",
-    "    wvl = 1000 * td.C_0 / freq\n",
-    "    ax.set_title(f\"wavelength = {int(wvl)} nm\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "5997d513-a66e-44b6-81ce-ce7b7d59762a",
-   "metadata": {},
-   "source": [
-    "### Animation\n",
-    "\n",
-    "Finally, we animate this plot as a function of iteration number. The animation shows the device quickly accomplishing our design objective.\n",
-    "\n",
-    "> Note: can take a few minutes to complete"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "id": "2cb45408-ffe0-4406-92e2-c2c4c79d8750",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import matplotlib.animation as animation\n",
-    "from IPython.display import HTML\n",
-    "\n",
-    "fig, (ax1, ax2, ax3) = fig, axes = plt.subplots(1, 3, tight_layout=False, figsize=(9, 4))\n",
-    "\n",
-    "\n",
-    "def animate(i):\n",
-    "    sim_data_i = data_history[i]\n",
-    "\n",
-    "    sim_i = sim_data_i.simulation\n",
-    "    sim_i.plot_eps(z=0.01, monitor_alpha=0, source_alpha=0, ax=ax1)\n",
-    "    ax1.set_aspect(\"equal\")\n",
-    "\n",
-    "    for key, ax in zip((\"top\", \"bot\"), (ax2, ax3)):\n",
-    "        freq = freqs[key]\n",
-    "        wvl = 1000 * td.C_0 / freq\n",
-    "\n",
-    "        int_i = sim_data_i.get_intensity(\"field\").sel(f=freq)\n",
-    "        int_i.squeeze().plot.pcolormesh(\n",
-    "            x=\"x\", y=\"y\", ax=ax, add_colorbar=False, cmap=\"magma\", vmax=1000\n",
-    "        )\n",
-    "\n",
-    "        ax.set_aspect(\"equal\")\n",
-    "        ax.set_title(f\"wavelength = {int(wvl)} nm\")\n",
-    "\n",
-    "\n",
-    "# create animation\n",
-    "ani = animation.FuncAnimation(fig, animate, frames=len(data_history))\n",
-    "plt.close()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "id": "fc5bd204-d290-42bf-b3bc-187ce4ffa026",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "\n",
-       "
\n",
-       "  \n",
-       "  
\n",
-       "    \n",
-       "    
\n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    
\n",
-       "    
\n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    
\n",
-       "  
\n",
-       "
\n",
-       "\n",
-       "\n",
-       "\n"
-      ],
-      "text/plain": [
-       ""
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# display the animation (press \"play\" to start)\n",
-    "HTML(ani.to_jshtml())"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "8dfd4b1c-0f7b-438d-9c06-1abd3c2f8aa3",
-   "metadata": {},
-   "source": [
-    "To save the animation as a file, uncomment the line below\n",
-    "\n",
-    "> Note: can take several more minutes to complete"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "id": "20b92a33-34b6-4c55-8036-99c19a05d251",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# ani.save('img/animation_wdm_adjoint.gif', fps=60)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ddbb4884",
-   "metadata": {},
-   "source": [
-    "## Export to GDS\n",
-    "The `Simulation` object has the [.to_gds_file](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Simulation.html#tidy3d.Simulation.to_gds_file) convenience function to export the final design to a `GDS` file. In addition to a file name, it is necessary to set a cross-sectional plane (`z = 0` in this case) on which to evaluate the geometry, a `frequency` to evaluate the permittivity, and a `permittivity_threshold` to define the shape boundaries in custom mediums. See the [GDS export](https://www.flexcompute.com/tidy3d/examples/notebooks/GDSExport/) notebook for a detailed example on using `.to_gds_file` and other GDS related functions."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "id": "9f283dab",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sim_final = data_history[-1].simulation\n",
-    "sim_final.to_gds_file(\n",
-    "    fname=\"./misc/inv_des_wdm.gds\",\n",
-    "    z=0,\n",
-    "    permittivity_threshold=(n_si**2 + 1) / 2,\n",
-    "    frequency=freq0,\n",
-    ")"
-   ]
-  }
- ],
- "metadata": {
-  "description": "This notebook demonstrates the adjoint optimization of a wavelength division multiplexer using the adjoint plugin.",
-  "feature_image": "./img/adjoint_9.png",
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "keywords": "inverse design, WDM, design optimization, adjoint, Tidy3D, FDTD",
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.12.0"
-  },
-  "title": "Adjoint Optimization of a WDM in Tidy3D Using the Adjoint Plugin | Flexcompute"
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/Autograd10YBranchLevelSet.ipynb b/Autograd10YBranchLevelSet.ipynb
index 03b2198b..72335f77 100644
--- a/Autograd10YBranchLevelSet.ipynb
+++ b/Autograd10YBranchLevelSet.ipynb
@@ -10,7 +10,7 @@
     "\n",
     "This notebook demonstrates how to set up and run a parameterized level set-based optimization of a Y-branch. In this approach, we use `autograd` to generate a level set surface $\\phi(\\rho)$ given a set of control knots $\\rho$. The permittivity distribution is then obtained implicitly from the zero level set isocontour. Details about the level set method can be found [here](). Minimum gap and curvature penalty terms are introduced in the optimization to control the minimum feature size, hence improving device fabrication. In addition, we show how to tailor the initial level set function to a starting geometry, which is helpful to further optimize a device obtained by conventional design.\n",
     "\n",
-    "You can also find some interesting adjoint functionalities for shape optimization in [Inverse design optimization of a waveguide taper](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin5BoundaryGradients/) and [Adjoint-based shape optimization of a waveguide bend](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin8WaveguideBend/). If you are new to the finite-difference time-domain (FDTD) method, we highly recommend going through our [FDTD101](https://www.flexcompute.com/tidy3d/learning-center/fdtd101/) tutorials. FDTD simulations can diverge due to various reasons. If you run into any simulation divergence issues, please follow the steps outlined in our [troubleshooting guide](https://www.flexcompute.com/tidy3d/examples/notebooks/DivergedFDTDSimulation/) to resolve it.\n",
+    "You can also find some interesting adjoint functionalities for shape optimization in [Inverse design optimization of a waveguide taper](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin5BoundaryGradients/) and [Adjoint-based shape optimization of a waveguide bend](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin8WaveguideBend/). If you are new to the finite-difference time-domain (FDTD) method, we highly recommend going through our [FDTD101](https://www.flexcompute.com/tidy3d/learning-center/fdtd101/) tutorials. FDTD simulations can diverge due to various reasons. If you run into any simulation divergence issues, please follow the steps outlined in our [troubleshooting guide](https://www.flexcompute.com/tidy3d/examples/notebooks/DivergedFDTDSimulation/) to resolve it.\n",
     "\n",
     "\"Y-branch"
    ]
diff --git a/Autograd13Metasurface.ipynb b/Autograd13Metasurface.ipynb
index 40841221..9ae04b2f 100644
--- a/Autograd13Metasurface.ipynb
+++ b/Autograd13Metasurface.ipynb
@@ -13,7 +13,7 @@
     "\n",
     "\"Schematic\n",
     "\n",
-    "If you are unfamiliar with inverse design, we also recommend our [intro to inverse design tutorials](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) and our [primer on automatic differentiation with tidy3d](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin1Intro/). For another example of metalens adjoint optimization in Tidy3D, see [this example](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin7Metalens/).\n"
+    "If you are unfamiliar with inverse design, we also recommend our [intro to inverse design tutorials](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) and our [primer on automatic differentiation with tidy3d](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin1Intro/). For another example of metalens adjoint optimization in Tidy3D, see [this example](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin7Metalens/).\n"
    ]
   },
   {
diff --git a/Autograd17BandPassFilter.ipynb b/Autograd17BandPassFilter.ipynb
index 2abfc84d..547df97a 100644
--- a/Autograd17BandPassFilter.ipynb
+++ b/Autograd17BandPassFilter.ipynb
@@ -21,7 +21,7 @@
     "\n",
     "\"Schematic\n",
     "\n",
-    "If you are unfamiliar with inverse design, we also recommend our [intro to inverse design tutorials](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) and our [primer on automatic differentiation with tidy3d](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin1Intro/).\n"
+    "If you are unfamiliar with inverse design, we also recommend our [intro to inverse design tutorials](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) and our [primer on automatic differentiation with tidy3d](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin1Intro/).\n"
    ]
   },
   {
diff --git a/Autograd18TopologyBend.ipynb b/Autograd18TopologyBend.ipynb
index 1d8ee6b2..51f76f57 100644
--- a/Autograd18TopologyBend.ipynb
+++ b/Autograd18TopologyBend.ipynb
@@ -13,7 +13,7 @@
     "\n",
     "\"Schematic\n",
     "\n",
-    "If you are unfamiliar with inverse design, we also recommend our [intro to inverse design tutorials](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) and our [primer on automatic differentiation with tidy3d](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin1Intro/).\n",
+    "If you are unfamiliar with inverse design, we also recommend our [intro to inverse design tutorials](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) and our [primer on automatic differentiation with tidy3d](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin1Intro/).\n",
     "\n",
     "> Note: to see the simple, [high level definition](https://www.flexcompute.com/tidy3d/examples/notebooks/InverseDesign/) of the inverse design problem using `tidy3d.plugins.invdes`, jump to the 2nd to last cell!\n",
     "\n",
diff --git a/Autograd19ApodizedCoupler.ipynb b/Autograd19ApodizedCoupler.ipynb
index 37fe77d3..adf1301b 100644
--- a/Autograd19ApodizedCoupler.ipynb
+++ b/Autograd19ApodizedCoupler.ipynb
@@ -17,7 +17,7 @@
     "\n",
     "If you are interested in other inverse design examples using tidy3d, you can find many of them [here](https://docs.flexcompute.com/projects/tidy3d/en/latest/notebooks/docs/features/autograd.html).\n",
     "\n",
-    "If you are unfamiliar with inverse design, we also recommend our [intro to inverse design tutorials](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) and our [primer on automatic differentiation with tidy3d](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin1Intro/).\n"
+    "If you are unfamiliar with inverse design, we also recommend our [intro to inverse design tutorials](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) and our [primer on automatic differentiation with tidy3d](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin1Intro/).\n"
    ]
   },
   {
diff --git a/Autograd1Intro.ipynb b/Autograd1Intro.ipynb
index f0a6d3ec..a69aba9e 100644
--- a/Autograd1Intro.ipynb
+++ b/Autograd1Intro.ipynb
@@ -7,8 +7,6 @@
    "source": [
     "# Autograd, automatic differentiation, and adjoint optimization: basics\n",
     "\n",
-    "> Note: native autograd support is an experimental feature in tidy3d 2.7. To see the original implementation of this notebook using jax and the adjoint plugin, refer to [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin1Intro/).\n",
-    "\n",
     "## Introduction\n",
     "\n",
     "In this notebook, we will introduce the automatic differentiation feature of Tidy3D.\n",
@@ -1663,7 +1661,7 @@
   "description": "This notebook introduces the basics of automatic differentiation and the adjoint optimization in Tidy3D FDTD.",
   "feature_image": "",
   "kernelspec": {
-   "display_name": ".venv",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -1678,7 +1676,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.11.2"
   },
   "title": "FDTD Adjoint Optimization Basics using Autograd | Flexcompute",
   "widgets": {
diff --git a/Autograd20MetalensWaveguideTaper.ipynb b/Autograd20MetalensWaveguideTaper.ipynb
index 14b55aeb..432a6750 100644
--- a/Autograd20MetalensWaveguideTaper.ipynb
+++ b/Autograd20MetalensWaveguideTaper.ipynb
@@ -2035,7 +2035,7 @@
     "\n",
     "In the optimization, we only optimize the slot lengths. In principle, other parameters such as the slot positions, widths, and taper shape can be optimized at the same time to potentially achieve a better result. Users are encouraged to explore these possibilities. \n",
     "\n",
-    "In the follow-up work `Ma, Wei, Hou, Maojing, Luo, Ruiqi, Xiong, Bo, Liu, Nan, Liu, Guandong and Chu, Tao. \"Topologically-optimized on-chip metamaterials for ultra-short-range light focusing and mode-size conversion\" Nanophotonics, vol. 12, no. 6, 2023, pp. 1189-1197.` [DOI: 10.1515/nanoph-2023-0036](https://doi.org/10.1515/nanoph-2023-0036), the authors applied level-set-based shape optimization, which allows a larger parameter space compared to what's demonstrated in this notebook. Interested users are also encouraged to explore this direction by following our level set optimization [example](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin10YBranchLevelSet/).  "
+    "In the follow-up work `Ma, Wei, Hou, Maojing, Luo, Ruiqi, Xiong, Bo, Liu, Nan, Liu, Guandong and Chu, Tao. \"Topologically-optimized on-chip metamaterials for ultra-short-range light focusing and mode-size conversion\" Nanophotonics, vol. 12, no. 6, 2023, pp. 1189-1197.` [DOI: 10.1515/nanoph-2023-0036](https://doi.org/10.1515/nanoph-2023-0036), the authors applied level-set-based shape optimization, which allows a larger parameter space compared to what's demonstrated in this notebook. Interested users are also encouraged to explore this direction by following our level set optimization [example](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin10YBranchLevelSet/).  "
    ]
   }
  ],
diff --git a/Autograd21GaPLightExtractor.ipynb b/Autograd21GaPLightExtractor.ipynb
index ee8aeedd..f52d8a88 100644
--- a/Autograd21GaPLightExtractor.ipynb
+++ b/Autograd21GaPLightExtractor.ipynb
@@ -13,7 +13,7 @@
     "\n",
     "\"Schematic\n",
     "\n",
-    "If you are unfamiliar with inverse design, we also recommend our [intro to inverse design tutorials](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) and our [primer on automatic differentiation with tidy3d](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin1Intro/). For another example of light extractor optimization in Tidy3D, see [this example](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd12LightExtractor/)."
+    "If you are unfamiliar with inverse design, we also recommend our [intro to inverse design tutorials](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) and our [primer on automatic differentiation with tidy3d](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin1Intro/). For another example of light extractor optimization in Tidy3D, see [this example](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd12LightExtractor/)."
    ]
   },
   {
diff --git a/Autograd22PhotonicCrystal.ipynb b/Autograd22PhotonicCrystal.ipynb
index ffa55b0b..46562f0d 100644
--- a/Autograd22PhotonicCrystal.ipynb
+++ b/Autograd22PhotonicCrystal.ipynb
@@ -17,7 +17,7 @@
     "\n",
     "\"Schematic\"\n",
     "\n",
-    "If you are unfamiliar with inverse design, we also recommend our [intro to inverse design tutorials](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) and our [primer on automatic differentiation with tidy3d](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin1Intro/).\n"
+    "If you are unfamiliar with inverse design, we also recommend our [intro to inverse design tutorials](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) and our [primer on automatic differentiation with tidy3d](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin1Intro/).\n"
    ]
   },
   {
diff --git a/Autograd24DigitalSplitter.ipynb b/Autograd24DigitalSplitter.ipynb
index 7f0406f7..b1893c01 100644
--- a/Autograd24DigitalSplitter.ipynb
+++ b/Autograd24DigitalSplitter.ipynb
@@ -18,7 +18,7 @@
     "\n",
     "\"Schematic\n",
     "\n",
-    "If you are unfamiliar with inverse design, we also recommend our [intro to inverse design tutorials](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) and our [primer on automatic differentiation with tidy3d](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin1Intro/). For another example of power splitter optimization in Tidy3D, see [this example](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd10YBranchLevelSet/)."
+    "If you are unfamiliar with inverse design, we also recommend our [intro to inverse design tutorials](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) and our [primer on automatic differentiation with tidy3d](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin1Intro/). For another example of power splitter optimization in Tidy3D, see [this example](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd10YBranchLevelSet/)."
    ]
   },
   {
diff --git a/Autograd26Smatrix.ipynb b/Autograd26Smatrix.ipynb
index df7e0db9..c503b70e 100644
--- a/Autograd26Smatrix.ipynb
+++ b/Autograd26Smatrix.ipynb
@@ -13,7 +13,7 @@
     "\n",
     "This example highlights the use of the `tidy3d.plugins.smatrix.ComponentModeler`, a powerful tool for optimizing devices based on their multi-port scattering properties. It simplifies the process by automatically running the necessary simulations to compute the full S-matrix, which we can then use directly in our objective function. For more details on the `ComponentModeler`, see [this tutorial](https://docs.flexcompute.com/projects/tidy3d/en/latest/notebooks/SMatrix.html).\n",
     "\n",
-    "If you are new to inverse design, we recommend our tutorials on the [Learning Center](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) and our [primer on automatic differentiation with tidy3d](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin1Intro/)."
+    "If you are new to inverse design, we recommend our tutorials on the [Learning Center](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) and our [primer on automatic differentiation with tidy3d](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin1Intro/)."
    ]
   },
   {
diff --git a/Autograd2GradientChecking.ipynb b/Autograd2GradientChecking.ipynb
index 45afd283..44425e0a 100644
--- a/Autograd2GradientChecking.ipynb
+++ b/Autograd2GradientChecking.ipynb
@@ -7,9 +7,6 @@
    "source": [
     "# Adjoint analysis of a multi-layer slab\n",
     "\n",
-    "\n",
-    "> Note: native autograd support is an experimental feature in tidy3d 2.7. To see the original implementation of this notebook using jax and the adjoint plugin, refer to [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin2GradientChecking/).\n",
-    "\n",
     "In this notebook, we will show how to differentiate with respect to `DiffractionMonitor` outputs in `tidy3d` and also check the gradient values against gradients obtained using transfer matrix method (TMM), validating their accuracy for a multilayer slab problem."
    ]
   },
@@ -1039,7 +1036,7 @@
   "description": "This notebook demonstrates the adjoint analysis of a multi-layer slab in Tidy3D FDTD.",
   "feature_image": "",
   "kernelspec": {
-   "display_name": ".venv",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -1054,7 +1051,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.11.2"
   },
   "title": "Adjoint Analysis: Multi-layer Slab | Flexcompute",
   "widgets": {
diff --git a/Autograd3InverseDesign.ipynb b/Autograd3InverseDesign.ipynb
index 23c52716..46f9c4cf 100644
--- a/Autograd3InverseDesign.ipynb
+++ b/Autograd3InverseDesign.ipynb
@@ -13,7 +13,7 @@
    "source": [
     "# Inverse design optimization of a mode converter\n",
     "\n",
-    "> Note: native autograd support is an experimental feature in tidy3d 2.7. To see the original implementation of this notebook using jax and the adjoint plugin, refer to [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin3InverseDesign/).\n",
+    "> Note: native autograd support is an experimental feature in tidy3d 2.7. To see the original implementation of this notebook using jax and the adjoint plugin, refer to [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin3InverseDesign/).\n",
     "\n",
     "In this notebook, we will use inverse design and Tidy3D to create an integrated photonics component to convert a fundamental waveguide mode to a higher order mode."
    ]
diff --git a/Autograd4MultiObjective.ipynb b/Autograd4MultiObjective.ipynb
index 6cb9a391..10b3a170 100644
--- a/Autograd4MultiObjective.ipynb
+++ b/Autograd4MultiObjective.ipynb
@@ -7,8 +7,6 @@
    "source": [
     "# Multi-objective adjoint optimization\n",
     "\n",
-    "> Note: native autograd support is an experimental feature in tidy3d 2.7. To see the original implementation of this notebook using jax and the adjoint plugin, refer to [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin4MultiObjective/).\n",
-    "\n",
     "In this notebook, we will show how to use the adjoint plugin efficiently for objectives involving several simulations.\n",
     "\n",
     "One common application of this involves defining an objective function that may depend on several different definitions of your structures, each with some geometric or material modification. For example, including the performance of devices with slightly larger or smaller feature sizes into one's objective can serve to make optimization more robust to fabrication errors. For more details, see this [paper](https://link.springer.com/article/10.1007/s10409-009-0240-z). "
@@ -729,7 +727,7 @@
   "description": "This notebook demonstrates how to perform multi-objective adjoint optimization in Tidy3D FDTD.",
   "feature_image": "",
   "kernelspec": {
-   "display_name": ".venv",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -744,7 +742,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.11.2"
   },
   "title": "Multi-objective Adjoint Optimization in Tidy3D | Flexcompute",
   "widgets": {
diff --git a/Autograd5BoundaryGradients.ipynb b/Autograd5BoundaryGradients.ipynb
index dd4eb89c..ac682028 100644
--- a/Autograd5BoundaryGradients.ipynb
+++ b/Autograd5BoundaryGradients.ipynb
@@ -7,8 +7,6 @@
    "source": [
     "# Inverse design optimization of a waveguide taper\n",
     "\n",
-    "> Note: native autograd support is an experimental feature in tidy3d 2.7. To see the original implementation of this notebook using jax and the adjoint plugin, refer to [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin5BoundaryGradients/).\n",
-    "\n",
     "In this notebook, we will show how to use tidy3d to optimize a taper with respect to the boundaries of a structure defined using a `PolySlab`.\n",
     "\n",
     "We will apply this capability to design a non-adiabatic waveguide taper between a narrow and wide waveguide, based loosely on `Michaels, Andrew, and Eli Yablonovitch. \"Leveraging continuous material averaging for inverse electromagnetic design.\" Optics express 26.24 (2018): 31717-31737`.\n",
@@ -1997,7 +1995,7 @@
    "2D simulation"
   ],
   "kernelspec": {
-   "display_name": ".venv",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -2012,7 +2010,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.11.2"
   },
   "title": "Inverse Design of a Waveguide Taper in Tidy3D | Flexcompute",
   "widgets": {
diff --git a/Autograd6GratingCoupler.ipynb b/Autograd6GratingCoupler.ipynb
index 11219652..caa06d94 100644
--- a/Autograd6GratingCoupler.ipynb
+++ b/Autograd6GratingCoupler.ipynb
@@ -6,8 +6,6 @@
    "source": [
     "# Inverse design optimization of a compact grating coupler\n",
     "\n",
-    "> Note: native autograd support is an experimental feature in tidy3d 2.7. To see the original implementation of this notebook using jax and the adjoint plugin, refer to [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin6GratingCoupler/).\n",
-    "\n",
     "**This notebook contains a long optimization. Running the entire notebook will cost about 10 FlexCredits and take a few hours.**\n",
     "\n",
     "The ability to couple light in and out of photonic integrated circuits (PICs) is crucial for developing wafer-scale systems and tests. This need makes designing efficient and compact grating couplers an important task in the PIC development cycle. In this notebook, we will demonstrate how to use `tidy3d` to perform the inverse design of a compact 3D grating coupler. We will show how to improve design fabricability by enhancing permittivity binarization and controlling the device's minimum feature size.\n",
@@ -1319,7 +1317,7 @@
    "Adjoint inverse design"
   ],
   "kernelspec": {
-   "display_name": ".venv",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -1334,7 +1332,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.11.2"
   },
   "nbdime-conflicts": {
    "local_diff": [
diff --git a/Autograd7Metalens.ipynb b/Autograd7Metalens.ipynb
index a50aec68..046f0357 100644
--- a/Autograd7Metalens.ipynb
+++ b/Autograd7Metalens.ipynb
@@ -6,8 +6,6 @@
    "source": [
     "# Inverse design optimization of a metalens\n",
     "\n",
-    "> Note: native autograd support is an experimental feature in tidy3d 2.7. To see the original implementation of this notebook using jax and the adjoint plugin, refer to [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin7Metalens/).\n",
-    "\n",
     "In this notebook, we will use inverse design and the Tidy3D `autograd` feature to design a high numerical aperture (NA) metalens for optimal focusing to a point. This demo also introduces how to use automatic differentiation in `tidy3d` for objective functions that depend on the `FieldMonitor` outputs.\n",
     "\n",
     "We will follow the basic set up from Mansouree et al. \"Large-Scale Parametrized Metasurface Design Using Adjoint Optimization\". The published paper can be found [here](https://pubs.acs.org/doi/abs/10.1021/acsphotonics.0c01058) and the arxiv preprint can be found [here](https://arxiv.org/abs/2101.06292).\n",
@@ -1541,7 +1539,7 @@
    "Adjoint inverse design"
   ],
   "kernelspec": {
-   "display_name": ".venv",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -1556,7 +1554,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.11.2"
   },
   "nbdime-conflicts": {
    "local_diff": [
diff --git a/Autograd8WaveguideBend.ipynb b/Autograd8WaveguideBend.ipynb
index 66118c54..3df7dd62 100644
--- a/Autograd8WaveguideBend.ipynb
+++ b/Autograd8WaveguideBend.ipynb
@@ -7,8 +7,6 @@
    "source": [
     "# Adjoint-based shape optimization of a waveguide bend\n",
     "\n",
-    "> Note: native autograd support is an experimental feature in tidy3d 2.7. To see the original implementation of this notebook using jax and the adjoint plugin, refer to [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin8WaveguideBend/).\n",
-    "\n",
     "In this notebook, we will apply the adjoint method to the optimization of a low-loss waveguide bend. We start with a 90 degree bend in a SiN waveguide, parameterized using a `td.PolySlab`. \n",
     "\n",
     "We define an objective function that seeks to maximize the transmission of the TE0 output mode amplitude with respect to the position of the polygon vertices defining the bend. A penalty is applied to keep the local radii of curvature larger than a pre-defined value.\n",
@@ -821,7 +819,7 @@
     "\n",
     "With our gradients defined, we write a simple optimization loop using the [optax](https://optax.readthedocs.io/en/latest/) package. We use the `adam` method with a tunable number of steps and learning rate. The intermediate values, parameters, and data are stored for visualization later.\n",
     "\n",
-    "> Note: this will take several minutes. While not shown here, it is good practice to checkpoint your optimization results by saving to file on every iteration, or ensure you have a stable internet connection. See [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin6GratingCoupler/) for more details. "
+    "> Note: this will take several minutes. While not shown here, it is good practice to checkpoint your optimization results by saving to file on every iteration, or ensure you have a stable internet connection. See [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin6GratingCoupler/) for more details. "
    ]
   },
   {
@@ -1653,7 +1651,7 @@
    "Adjoint inverse design"
   ],
   "kernelspec": {
-   "display_name": ".venv",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -1668,7 +1666,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.11.2"
   },
   "title": "Adjoint Optimization of a Waveguide Bend in Tidy3D | Flexcompute"
  },
diff --git a/Autograd9WDM.ipynb b/Autograd9WDM.ipynb
index 40287b04..c170ccf5 100644
--- a/Autograd9WDM.ipynb
+++ b/Autograd9WDM.ipynb
@@ -13,11 +13,11 @@
     "\n",
     "\"Schematic\n",
     "\n",
-    "This demo combines the basic setup of our 3rd tutorial of a [mode converter](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin3InverseDesign/) with the multi-frequency feature introduced in Tidy3D version 2.5.\n",
+    "This demo combines the basic setup of our 3rd tutorial of a [mode converter](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin3InverseDesign/) with the multi-frequency feature introduced in Tidy3D version 2.5.\n",
     "\n",
     "We will follow many of the parameters outlined in `Cheung, Alfred KC, et al. \"Inverse-designed CWDM demultiplexer operated in O-band.\" Optical Fiber Communication Conference. Optica Publishing Group, 2024`. Although, to reduce the flex credit usage and run time, our setup will use a smaller device, run using a 2D simulation, and use a lower resolution.\n",
     "\n",
-    "If you are unfamiliar with inverse design, we also recommend our [intro to inverse design tutorials](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) and our [primer on automatic differentiation with tidy3d](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin1Intro/).\n"
+    "If you are unfamiliar with inverse design, we also recommend our [intro to inverse design tutorials](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) and our [primer on automatic differentiation with tidy3d](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin1Intro/).\n"
    ]
   },
   {
diff --git a/BilayerSiNEdgeCoupler.ipynb b/BilayerSiNEdgeCoupler.ipynb
index 5369ab13..a948f88c 100644
--- a/BilayerSiNEdgeCoupler.ipynb
+++ b/BilayerSiNEdgeCoupler.ipynb
@@ -21,7 +21,7 @@
     "\n",
     "\"Schematic\n",
     "\n",
-    "In another case study, we investigate [inverse taper edge couplers](https://www.flexcompute.com/tidy3d/examples/notebooks/EdgeCoupler/) at the telecom frequency. In addition, different grating coupler designs including the [uniform grating coupler](https://www.flexcompute.com/tidy3d/examples/notebooks/GratingCoupler/), the [focusing apodized grating coupler](https://www.flexcompute.com/tidy3d/examples/notebooks/FocusedApodGC/), and the [inverse designed compact grating coupler](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin6GratingCoupler/) are also explored in various case studies. "
+    "In another case study, we investigate [inverse taper edge couplers](https://www.flexcompute.com/tidy3d/examples/notebooks/EdgeCoupler/) at the telecom frequency. In addition, different grating coupler designs including the [uniform grating coupler](https://www.flexcompute.com/tidy3d/examples/notebooks/GratingCoupler/), the [focusing apodized grating coupler](https://www.flexcompute.com/tidy3d/examples/notebooks/FocusedApodGC/), and the [inverse designed compact grating coupler](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin6GratingCoupler/) are also explored in various case studies. "
    ]
   },
   {
diff --git a/BroadbandDirectionalCoupler.ipynb b/BroadbandDirectionalCoupler.ipynb
index bb916866..c1637f9f 100644
--- a/BroadbandDirectionalCoupler.ipynb
+++ b/BroadbandDirectionalCoupler.ipynb
@@ -1490,7 +1490,7 @@
    "id": "050fbb8f",
    "metadata": {},
    "source": [
-    "The TMM analysis is only meant for an estimation of the optimal design parameters since TMM doesn't account for crucial details that can only be captured in a rigorous full wave simulation. Starting from the TMM analysis, we can further optimize $L_1$ and $L_2$ using 3D FDTD simulations. This can be done by performing a grid search (parameter sweeping), [adjoint optimization](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin1Intro/), or other gradient-free optimization around the initial values. Since parameter sweeping and adjoint optimization have been demonstrated in various examples such as the [MMI](https://www.flexcompute.com/tidy3d/examples/notebooks/MMI1x4/) and the [mode converter](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin3InverseDesign/), we won't do it again here but only report the final optimized design.\n",
+    "The TMM analysis is only meant for an estimation of the optimal design parameters since TMM doesn't account for crucial details that can only be captured in a rigorous full wave simulation. Starting from the TMM analysis, we can further optimize $L_1$ and $L_2$ using 3D FDTD simulations. This can be done by performing a grid search (parameter sweeping), [adjoint optimization](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin1Intro/), or other gradient-free optimization around the initial values. Since parameter sweeping and adjoint optimization have been demonstrated in various examples such as the [MMI](https://www.flexcompute.com/tidy3d/examples/notebooks/MMI1x4/) and the [mode converter](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin3InverseDesign/), we won't do it again here but only report the final optimized design.\n",
     "\n",
     "After some further optimization, we determine that the optimal $L_1$ and $L_2$ are 12.4 $\\mu m$ and 4.7 $\\mu m$, which is not far from the TMM estimation of 12.8$\\mu m$ and 4.4 $\\mu m$. Now we demonstrate the FDTD simulation on the optimized device. To define the DC structures, we use Tidy3D's built-in [PolySlab](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.PolySlab.html). "
    ]
diff --git a/GeneticAlgorithmReflector.ipynb b/GeneticAlgorithmReflector.ipynb
index 95e83181..f949d5d0 100644
--- a/GeneticAlgorithmReflector.ipynb
+++ b/GeneticAlgorithmReflector.ipynb
@@ -41,21 +41,21 @@
     "\n",
     "`Tidy3D` is a powerful tool for photonic design optimization due to its fast speed and high throughput. Besides GA, we have demonstrated particle swarm optimizations of a [polarization beam splitter](https://www.flexcompute.com/tidy3d/examples/notebooks/ParticleSwarmOptimizedPBS/) and a [bullseye cavity](https://www.flexcompute.com/tidy3d/examples/notebooks/BullseyeCavityPSO/), CMA-ES optimization of an [waveguide S-bend](https://www.flexcompute.com/tidy3d/examples/notebooks/SbendCMAES/), Bayesian optimization of a [Y-junction](https://www.flexcompute.com/tidy3d/examples/notebooks/BayesianOptimizationYJunction/), and direct binary search optimization of an [optical switch](https://www.flexcompute.com/tidy3d/examples/notebooks/OpticalSwitchDBS/). Furthermore, we also have a growing list of gradient-based adjoint optimization examples including\n",
     "\n",
-    "1. [Mode converter](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin3InverseDesign/),\n",
+    "1. [Mode converter](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin3InverseDesign/),\n",
     "\n",
-    "2. [Waveguide taper](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin5BoundaryGradients/),\n",
+    "2. [Waveguide taper](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin5BoundaryGradients/),\n",
     "\n",
-    "3. [Metalens](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin7Metalens/),\n",
+    "3. [Metalens](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin7Metalens/),\n",
     "\n",
-    "4. [Waveguide bend](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin8WaveguideBend/), \n",
+    "4. [Waveguide bend](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin8WaveguideBend/), \n",
     "\n",
-    "5. [Multiplexer](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin9WDM/),\n",
+    "5. [Multiplexer](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin9WDM/),\n",
     "\n",
-    "6. [Y-branch](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin10YBranchLevelSet/),\n",
+    "6. [Y-branch](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin10YBranchLevelSet/),\n",
     "\n",
-    "7. [MZI circuit](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin11CircuitMZI/),\n",
+    "7. [MZI circuit](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin11CircuitMZI/),\n",
     "\n",
-    "8. [Light extractor](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin12LightExtractor/)."
+    "8. [Light extractor](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin12LightExtractor/)."
    ]
   },
   {
diff --git a/OpticalSwitchDBS.ipynb b/OpticalSwitchDBS.ipynb
index 6352118f..0a2a9654 100644
--- a/OpticalSwitchDBS.ipynb
+++ b/OpticalSwitchDBS.ipynb
@@ -35,21 +35,21 @@
     "\n",
     "`Tidy3D` is a powerful tool for photonic design optimization due to its fast speed and high throughput. Besides DBS, we have demonstrated particle swarm optimizations of a [polarization beam splitter](https://www.flexcompute.com/tidy3d/examples/notebooks/ParticleSwarmOptimizedPBS/) and a [bullseye cavity](https://www.flexcompute.com/tidy3d/examples/notebooks/BullseyeCavityPSO/), genetic algorithm optimization of an [on-chip reflector](https://www.flexcompute.com/tidy3d/examples/notebooks/GeneticAlgorithmReflector/), and CMA-ES optimization of a [waveguide S-bend](https://www.flexcompute.com/tidy3d/examples/notebooks/SbendCMAES/). Furthermore, we also have a growing list of gradient-based adjoint optimization examples including\n",
     "\n",
-    "1. [Mode converter](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin3InverseDesign/),\n",
+    "1. [Mode converter](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin3InverseDesign/),\n",
     "\n",
-    "2. [Waveguide taper](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin5BoundaryGradients/),\n",
+    "2. [Waveguide taper](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin5BoundaryGradients/),\n",
     "\n",
-    "3. [Metalens](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin7Metalens/),\n",
+    "3. [Metalens](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin7Metalens/),\n",
     "\n",
-    "4. [Waveguide bend](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin8WaveguideBend/), \n",
+    "4. [Waveguide bend](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin8WaveguideBend/), \n",
     "\n",
-    "5. [Multiplexer](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin9WDM/),\n",
+    "5. [Multiplexer](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin9WDM/),\n",
     "\n",
-    "6. [Y-branch](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin10YBranchLevelSet/),\n",
+    "6. [Y-branch](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin10YBranchLevelSet/),\n",
     "\n",
-    "7. [MZI circuit](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin11CircuitMZI/),\n",
+    "7. [MZI circuit](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin11CircuitMZI/),\n",
     "\n",
-    "8. [Light extractor](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin12LightExtractor/)."
+    "8. [Light extractor](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin12LightExtractor/)."
    ]
   },
   {
diff --git a/ParticleSwarmOptimizedPBS.ipynb b/ParticleSwarmOptimizedPBS.ipynb
index 558e13f3..5ba4b705 100644
--- a/ParticleSwarmOptimizedPBS.ipynb
+++ b/ParticleSwarmOptimizedPBS.ipynb
@@ -21,7 +21,7 @@
     "\n",
     "\"Schematic\n",
     "\n",
-    "Besides the PSO introduced in this notebook, Tidy3D also provides a built-in adjoint optimization plugin. Unlike PSO, adjoint optimization is gradient-based and thus more efficient. To learn more, please refer to the adjoint optimizations of a [wavelength division multiplexer](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin9WDM/), a [mode converter](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin3InverseDesign/), and a [waveguide taper](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin5BoundaryGradients/). If you are new to adjoint optimization, please start with the [tutorial](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin1Intro/) on adjoint basis and our [video lectures](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) on inverse design."
+    "Besides the PSO introduced in this notebook, Tidy3D also provides a built-in adjoint optimization plugin. Unlike PSO, adjoint optimization is gradient-based and thus more efficient. To learn more, please refer to the adjoint optimizations of a [wavelength division multiplexer](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin9WDM/), a [mode converter](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin3InverseDesign/), and a [waveguide taper](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin5BoundaryGradients/). If you are new to adjoint optimization, please start with the [tutorial](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin1Intro/) on adjoint basis and our [video lectures](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/) on inverse design."
    ]
   },
   {
diff --git a/PlasmonicWaveguideCO2Sensor.ipynb b/PlasmonicWaveguideCO2Sensor.ipynb
index c4675aca..8cb88469 100644
--- a/PlasmonicWaveguideCO2Sensor.ipynb
+++ b/PlasmonicWaveguideCO2Sensor.ipynb
@@ -90,7 +90,7 @@
    "id": "78842d57",
    "metadata": {},
    "source": [
-    "Define the geometric parameters of the sensor. These values have been optimized in the [reference](https://doi.org/10.1364/OE.423141). If further optimization is needed, [parameter sweeps](https://www.flexcompute.com/tidy3d/examples/notebooks/ParameterScan/) or [adjoint optimization](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin1Intro/) can be applied."
+    "Define the geometric parameters of the sensor. These values have been optimized in the [reference](https://doi.org/10.1364/OE.423141). If further optimization is needed, [parameter sweeps](https://www.flexcompute.com/tidy3d/examples/notebooks/ParameterScan/) or [adjoint optimization](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin1Intro/) can be applied."
    ]
   },
   {
diff --git a/Primer.ipynb b/Primer.ipynb
index c8231636..fd0dfa85 100644
--- a/Primer.ipynb
+++ b/Primer.ipynb
@@ -3300,13 +3300,13 @@
     "\n",
     "The goal of invdes is to provide a simpler interface for setting up most practical inverse design problems. It wraps the lower-level adjoint plugin of Tidy3D to perform the gradient calculations, but allows the user to focus on the important aspects of their design without getting into the details of autograd.\n",
     "\n",
-    "For more details, see the corresponding [tutorial](../notebooks/AdjointPlugin0Quickstart.html).\n",
+    "For more details, see the corresponding [tutorial](../notebooks/AutogradPlugin0Quickstart.html).\n",
     "\n",
     "### Adjoint\n",
     "\n",
     "The `adjoint` plugin allows users to write functions involving a Tidy3D `Simulation` run and take efficient gradients of those functions using `jax`. It requires setting up `Simulation` objects using jax-compatible analogues defined in the plugin.\n",
     "\n",
-    "For more details, see the corresponding [tutorial](../notebooks/AdjointPlugin1Intro.html).\n",
+    "For more details, see the corresponding [tutorial](../notebooks/AutogradPlugin1Intro.html).\n",
     "\n",
     "\n",
     "### Resonance Finder\n",
diff --git a/SbendCMAES.ipynb b/SbendCMAES.ipynb
index 19168bc7..c74f614a 100644
--- a/SbendCMAES.ipynb
+++ b/SbendCMAES.ipynb
@@ -48,21 +48,21 @@
     "\n",
     "`Tidy3D` is a powerful tool for photonic design optimization due to its fast speed and high throughput. Besides CMA-ES, we have demonstrated particle swarm optimizations of a [polarization beam splitter](https://www.flexcompute.com/tidy3d/examples/notebooks/ParticleSwarmOptimizedPBS/) and a [bullseye cavity](https://www.flexcompute.com/tidy3d/examples/notebooks/BullseyeCavityPSO/), genetic algorithm optimization of an [on-chip reflector](https://www.flexcompute.com/tidy3d/examples/notebooks/GeneticAlgorithmReflector/), and direct binary search optimization of an [optical switch](https://www.flexcompute.com/tidy3d/examples/notebooks/OpticalSwitchDBS/). Furthermore, we also have a growing list of gradient-based adjoint optimization examples including\n",
     "\n",
-    "1. [Mode converter](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin3InverseDesign/),\n",
+    "1. [Mode converter](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin3InverseDesign/),\n",
     "\n",
-    "2. [Waveguide taper](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin5BoundaryGradients/),\n",
+    "2. [Waveguide taper](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin5BoundaryGradients/),\n",
     "\n",
-    "3. [Metalens](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin7Metalens/),\n",
+    "3. [Metalens](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin7Metalens/),\n",
     "\n",
-    "4. [Waveguide bend](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin8WaveguideBend/), \n",
+    "4. [Waveguide bend](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin8WaveguideBend/), \n",
     "\n",
-    "5. [Multiplexer](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin9WDM/),\n",
+    "5. [Multiplexer](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin9WDM/),\n",
     "\n",
-    "6. [Y-branch](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin10YBranchLevelSet/),\n",
+    "6. [Y-branch](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin10YBranchLevelSet/),\n",
     "\n",
-    "7. [MZI circuit](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin11CircuitMZI/),\n",
+    "7. [MZI circuit](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin11CircuitMZI/),\n",
     "\n",
-    "8. [Light extractor](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin12LightExtractor/)."
+    "8. [Light extractor](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin12LightExtractor/)."
    ]
   },
   {
diff --git a/StripToSlotConverters.ipynb b/StripToSlotConverters.ipynb
index ffa347e7..91048a2f 100644
--- a/StripToSlotConverters.ipynb
+++ b/StripToSlotConverters.ipynb
@@ -1301,7 +1301,7 @@
    "source": [
     "Different designs of the converters have their advantages and disadvantages. The choice of the design should be based on fabrication capability, constraints on device footprint, and the required coupling efficiency. In this notebook, we only simulated the ideal designs. To be more practical, simulations that consider the fabrication constraints need to be performed. As introduced in the referenced papers, the pointy tips of the tapers will have a finite width due to the finite fabrication resolution. Simulations with more realistic device geometry will be extremely useful for design and testing.\n",
     "\n",
-    "In addition, the design parameters used in this notebook are optimized for the specific waveguide widths, thickness, and materials. For a different platform, the parameters need to be re-optimized, which can be done using the adjoint method as provided in Tidy3D's adjoint plugin. Users follow a similar procedure as introduced in the [tutorial](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin5BoundaryGradients/) of optimizing a waveguide taper."
+    "In addition, the design parameters used in this notebook are optimized for the specific waveguide widths, thickness, and materials. For a different platform, the parameters need to be re-optimized, which can be done using the adjoint method as provided in Tidy3D's adjoint plugin. Users follow a similar procedure as introduced in the [tutorial](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin5BoundaryGradients/) of optimizing a waveguide taper."
    ]
   },
   {
diff --git a/VortexMetasurface.ipynb b/VortexMetasurface.ipynb
index 29e8b772..34b01055 100644
--- a/VortexMetasurface.ipynb
+++ b/VortexMetasurface.ipynb
@@ -18,7 +18,7 @@
     "\"Schematic\n",
     "\n",
     "\n",
-    "For more examples involving metamaterials and metasurfaces, please refer to our [example library](https://www.flexcompute.com/tidy3d/learning-center/example-library/), were you can find interesting case studies such as [Gradient metasurface reflector](https://www.flexcompute.com/tidy3d/examples/notebooks/GradientMetasurfaceReflector/), [Dielectric metasurface absorber](https://www.flexcompute.com/tidy3d/examples/notebooks/DielectricMetasurfaceAbsorber/), [Tunable chiral metasurface based on phase change material](https://www.flexcompute.com/tidy3d/examples/notebooks/TunableChiralMetasurface/) and a [inverse-design-optimized diffractive metasurface](https://www.flexcompute.com/tidy3d/examples/notebooks/AdjointPlugin13Metasurface/).\n",
+    "For more examples involving metamaterials and metasurfaces, please refer to our [example library](https://www.flexcompute.com/tidy3d/learning-center/example-library/), were you can find interesting case studies such as [Gradient metasurface reflector](https://www.flexcompute.com/tidy3d/examples/notebooks/GradientMetasurfaceReflector/), [Dielectric metasurface absorber](https://www.flexcompute.com/tidy3d/examples/notebooks/DielectricMetasurfaceAbsorber/), [Tunable chiral metasurface based on phase change material](https://www.flexcompute.com/tidy3d/examples/notebooks/TunableChiralMetasurface/) and a [inverse-design-optimized diffractive metasurface](https://www.flexcompute.com/tidy3d/examples/notebooks/AutogradPlugin13Metasurface/).\n",
     " \n",
     "\n",
     "If you are new to the finite-difference time-domain (FDTD) method, we highly recommend going through our [FDTD101](https://www.flexcompute.com/fdtd101/) tutorials. \n",
diff --git a/docs/features/adjoint.rst b/docs/features/adjoint.rst
deleted file mode 100644
index be8e3967..00000000
--- a/docs/features/adjoint.rst
+++ /dev/null
@@ -1,27 +0,0 @@
-Inverse Design with the Adjoint Plugin (Deprecated)
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-
-The following notebooks demonstrate photonic inverse design in Tidy3D using the `tidy3d.plugins.adjoint` functionality. Inverse design (adjoint optimization) is the application of gradient-based optimization to define photonic devices in a high-dimensional space. It automates the design process to uncover unintuitive and high-performing designs in a short time frame.
-
-For gradient-free optimization examples, please see the global optimization section.
-
-.. toctree::
-    :class: example-notebook-toc
-    :maxdepth: 1
-
-    ../../Invdes
-    ../../AdjointPlugin0Quickstart
-    ../../AdjointPlugin1Intro
-    ../../AdjointPlugin2GradientChecking
-    ../../AdjointPlugin3InverseDesign
-    ../../AdjointPlugin4MultiObjective
-    ../../AdjointPlugin5BoundaryGradients
-    ../../AdjointPlugin6GratingCoupler
-    ../../AdjointPlugin7Metalens
-    ../../AdjointPlugin8WaveguideBend
-    ../../AdjointPlugin9WDM
-    ../../AdjointPlugin10YBranchLevelSet
-    ../../AdjointPlugin11CircuitMZI
-    ../../AdjointPlugin12LightExtractor
-    ../../AdjointPlugin13Metasurface
-    ../../AdjointPlugin14PreFab
diff --git a/docs/features/index.rst b/docs/features/index.rst
index 8cf68600..c32827f8 100644
--- a/docs/features/index.rst
+++ b/docs/features/index.rst
@@ -21,5 +21,4 @@ Feature Tutorials
     advanced
     microwave
     benchmark
-    adjoint
   
diff --git a/misc/import_file_mapping.json b/misc/import_file_mapping.json
index e1744f72..44810a1f 100644
--- a/misc/import_file_mapping.json
+++ b/misc/import_file_mapping.json
@@ -1,12 +1,12 @@
 {
     "8ChannelDemultiplexer.ipynb": [ "8ChannelDemultiplexer.gds"], 
     "90OpticalHybrid.ipynb": [ "mmi_stl.stl",  "optical_hybrid_stl.stl"], 
-    "AdjointPlugin3InverseDesign.ipynb": [ "inv_des_mode_conv.gds"], 
-    "AdjointPlugin6GratingCoupler.ipynb": [ "invdes_gc.json",  "inverse_designed_gc.gds"], 
-    "AdjointPlugin8WaveguideBend.ipynb": [ "inverse_des_wg_bend.gds"], 
-    "AdjointPlugin9WDM.ipynb": [ "inv_des_wdm.gds"], 
-    "AdjointPlugin10YBranchLevelSet.ipynb": [ "y_branch_fab.pkl",  "inv_des_ybranch.gds"], 
-    "AdjointPlugin12LightExtractor.ipynb": [ "qe_light_coupler.pkl",  "inv_des_light_extractor.gds"], 
+    "AutogradPlugin3InverseDesign.ipynb": [ "inv_des_mode_conv.gds"], 
+    "AutogradPlugin6GratingCoupler.ipynb": [ "invdes_gc.json",  "inverse_designed_gc.gds"], 
+    "AutogradPlugin8WaveguideBend.ipynb": [ "inverse_des_wg_bend.gds"], 
+    "AutogradPlugin9WDM.ipynb": [ "inv_des_wdm.gds"], 
+    "AutogradPlugin10YBranchLevelSet.ipynb": [ "y_branch_fab.pkl",  "inv_des_ybranch.gds"], 
+    "AutogradPlugin12LightExtractor.ipynb": [ "qe_light_coupler.pkl",  "inv_des_light_extractor.gds"], 
     "Autograd6GratingCoupler.ipynb": [ "grating_coupler_history_autograd.pkl"], 
     "CMOSRGBSensor": [ "red_eps.csv",  "green_eps.csv",  "blue_eps.csv"], 
     "DifferentialStripline.ipynb": [ "stripline_fem_mode.csv",  "stripline_fit_mode.txt",  "stripline_fem_sparam_long.csv",  "stripline_fit_sparams_long.txt"],