{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Time-Accurate XV-15 Rotor\n",
    "\n",
    "This notebook walks through a **time‑accurate** setup for the XV‑15 using Flow360. The geometry consists of an isolated rotor from the XV-15 rotorcraft with a sliding interface around it. The farfield zone is cylindrical around the rotor and the rotating zone.\n",
    "\n",
    "![ROTOR](figures/rotInterfaceView.png)\n",
    "\n",
    "**Note:** The settings in this example are by no means a validation setup; they are crafted to showcase the capabilities of Flow360 and we have intentionally reduced node count and example FC cost. For rigorous validation, modify the settings as needed."
   ],
   "id": "e69238e9"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Create Project from Volume Mesh\n",
    "- Load Python libraries and Flow360 client. If you use environment variables or tokens, initialize them here so later API calls can authenticate. XV15 data files are loaded here.\n",
    "- Project is created from the volume mesh"
   ],
   "id": "6543e340"
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [
    "import flow360 as fl\n",
    "from flow360.examples import TutorialRANSXv15\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "TutorialRANSXv15.get_files()\n",
    "project = fl.Project.from_volume_mesh(\n",
    "    TutorialRANSXv15.mesh_filename,\n",
    "    name=\"Time-Accurate XV-15 Rotor\",\n",
    ")\n",
    "volume_mesh = project.volume_mesh"
   ],
   "execution_count": 1,
   "outputs": [
    {
     "output_type": "display_data",
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[11:12:09] </span><span style=\"color: #008080; text-decoration-color: #008080\">INFO</span>: VolumeMesh successfully submitted:                                                                \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>        type   = Volume Mesh                                                                            \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>        name   = Tutorial Time-accurate RANS CFD on XV-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">15</span> from Python                                   \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>        id     = vm-<span style=\"color: #ffff00; text-decoration-color: #ffff00\">897c667d-6e6a-45da-a6ad-2051ebfd4404</span>                                                \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>        status = uploaded                                                                               \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>                                                                                                        \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[11:12:09]\u001b[0m\u001b[2;36m \u001b[0m\u001b[36mINFO\u001b[0m: VolumeMesh successfully submitted:                                                                \n",
       "\u001b[2;36m           \u001b[0m        type   = Volume Mesh                                                                            \n",
       "\u001b[2;36m           \u001b[0m        name   = Tutorial Time-accurate RANS CFD on XV-\u001b[1;36m15\u001b[0m from Python                                   \n",
       "\u001b[2;36m           \u001b[0m        id     = vm-\u001b[93m897c667d-6e6a-45da-a6ad-2051ebfd4404\u001b[0m                                                \n",
       "\u001b[2;36m           \u001b[0m        status = uploaded                                                                               \n",
       "\u001b[2;36m           \u001b[0m                                                                                                        \n"
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     "metadata": {}
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   "id": "881341eb"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Define rotating zone\n",
    "The following steps are needed to use a rotating zone:\n",
    "- The volume zone 'innerRotating' is defined with a center and axis of rotation.\n",
    "- The rotating model is defined with the rotating zone and the angular velocity."
   ],
   "id": "6f44a7ea"
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [
    "with fl.SI_unit_system:\n",
    "    rotation_zone = volume_mesh[\"innerRotating\"]\n",
    "    rotation_zone.center = (0, 0, 0) * fl.u.m\n",
    "    rotation_zone.axis = (0, 0, -1)\n",
    "\n",
    "    rotation_model = fl.Rotation(\n",
    "        volumes=rotation_zone,\n",
    "        spec=fl.AngularVelocity(600 * fl.u.rpm),\n",
    "    )"
   ],
   "execution_count": 2,
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[11:12:30] </span><span style=\"color: #008080; text-decoration-color: #008080\">INFO</span>: using: SI unit system for unit inference.                                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[11:12:30]\u001b[0m\u001b[2;36m \u001b[0m\u001b[36mINFO\u001b[0m: using: SI unit system for unit inference.                                                         \n"
      ]
     },
     "metadata": {}
    }
   ],
   "id": "4867002c"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Define time and DDES settings\n",
    "To use a time accurate numerical setup with sliding interface, the time settings need to be specified as unsteady. \n",
    "For simulation, we will do 5 revolutions at 3 ° per time step, thus 600 physical time steps in total"
   ],
   "id": "f8f9e33b"
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [
    "time_model = fl.Unsteady(\n",
    "    max_pseudo_steps=35,\n",
    "    steps=600,\n",
    "    step_size=0.5 / 600 * fl.u.s,\n",
    "    CFL=fl.AdaptiveCFL(),\n",
    ")"
   ],
   "execution_count": 3,
   "outputs": [],
   "id": "3e02b9cc"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. DDES settings\n",
    "\n",
    "To use DDES, the turbulence model needs to be defined as such:"
   ],
   "id": "165c6f28"
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [
    "ddes_model = fl.SpalartAllmaras(\n",
    "    absolute_tolerance=1e-8,\n",
    "    linear_solver=fl.LinearSolver(max_iterations=25),\n",
    "    hybrid_model=fl.DetachedEddySimulation(shielding_function=\"DDES\"),\n",
    "    rotation_correction=True,\n",
    "    equation_evaluation_frequency=1,\n",
    ")"
   ],
   "execution_count": 4,
   "outputs": [],
   "id": "82d86f8b"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Define SimulationParams\n",
    "- The simulation parameters are defined in the python class fl.SimulationParams()\n",
    "- Reference geometry for the non-dimensionalisation of the coefficients are specified\n",
    "- Operating conditions are specified in SI units. For our case we have the following operating conditions:\n",
    "    - Airspeed = 5 m/s\n",
    "    - Rotation rate = 600 RPM\n",
    "    - Speed of sound = 340.2 m/s\n",
    "    - Density = 1.225 kg/m3\n",
    "    - Alpha = -90 °, air coming down from above (i.e., an ascent case)\n",
    "\n",
    "Other key considerations:\n",
    "\n",
    "The reference velocity magnitude is arbitrarily set to the tip velocity magnitude of the blades, with an estimated M = 0.7 (238.14 m/s)"
   ],
   "id": "e22bd4c0"
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [
    "with fl.SI_unit_system:\n",
    "    params = fl.SimulationParams(\n",
    "        reference_geometry=fl.ReferenceGeometry(\n",
    "            moment_center=(0, 0, 0),\n",
    "            moment_length=(3.81, 3.81, 3.81),\n",
    "            area=45.604,\n",
    "        ),\n",
    "        operating_condition=fl.AerospaceCondition(\n",
    "            velocity_magnitude=5,\n",
    "            alpha=-90 * fl.u.deg,\n",
    "            reference_velocity_magnitude=238.14,\n",
    "        ),\n",
    "        time_stepping=time_model,\n",
    "        models=[\n",
    "            fl.Fluid(\n",
    "                navier_stokes_solver=fl.NavierStokesSolver(\n",
    "                    absolute_tolerance=1e-9,\n",
    "                    linear_solver=fl.LinearSolver(max_iterations=35),\n",
    "                    limit_velocity=True,\n",
    "                    limit_pressure_density=True,\n",
    "                ),\n",
    "                turbulence_model_solver=ddes_model,\n",
    "            ),\n",
    "            fl.Freestream(surfaces=volume_mesh[\"farField/farField\"]),\n",
    "            fl.Wall(surfaces=volume_mesh[\"innerRotating/blade\"]),\n",
    "            rotation_model,\n",
    "        ],\n",
    "        outputs=[\n",
    "            fl.VolumeOutput(\n",
    "                output_fields=[\n",
    "                    \"primitiveVars\",\n",
    "                    \"T\",\n",
    "                    \"Cp\",\n",
    "                    \"Mach\",\n",
    "                    \"qcriterion\",\n",
    "                    \"VelocityRelative\",\n",
    "                ],\n",
    "            ),\n",
    "            fl.SurfaceOutput(\n",
    "                surfaces=volume_mesh[\"*\"],\n",
    "                output_fields=[\n",
    "                    \"primitiveVars\",\n",
    "                    \"Cp\",\n",
    "                    \"Cf\",\n",
    "                    \"CfVec\",\n",
    "                    \"yPlus\",\n",
    "                    \"nodeForcesPerUnitArea\",\n",
    "                ],\n",
    "            ),\n",
    "        ],\n",
    "    )"
   ],
   "execution_count": 5,
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008080; text-decoration-color: #008080\">INFO</span>: using: SI unit system for unit inference.                                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[36mINFO\u001b[0m: using: SI unit system for unit inference.                                                         \n"
      ]
     },
     "metadata": {}
    }
   ],
   "id": "c71f172c"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6. Run Case\n",
    "Run the case specifying parameters and the case name."
   ],
   "id": "2fd6e2b3"
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [
    "case = project.run_case(\n",
    "    params=params,\n",
    "    name=\"Time-accurate DDES\",\n",
    ")"
   ],
   "execution_count": 6,
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008080; text-decoration-color: #008080\">INFO</span>: using: SI unit system for unit inference.                                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[36mINFO\u001b[0m: using: SI unit system for unit inference.                                                         \n"
      ]
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     "metadata": {}
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     "output_type": "display_data",
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[11:12:32] </span><span style=\"color: #008080; text-decoration-color: #008080\">INFO</span>: Successfully submitted:                                                                           \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>        type   = Case                                                                                   \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>        name   = Tutorial Time-accurate DDES CFD on XV-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">15</span> from Python                                   \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>        id     = case-<span style=\"color: #ffff00; text-decoration-color: #ffff00\">f1ced317-b54b-42b5-9831-2c13d492f880</span>                                              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>        status = pending                                                                                \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>                                                                                                        \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[11:12:32]\u001b[0m\u001b[2;36m \u001b[0m\u001b[36mINFO\u001b[0m: Successfully submitted:                                                                           \n",
       "\u001b[2;36m           \u001b[0m        type   = Case                                                                                   \n",
       "\u001b[2;36m           \u001b[0m        name   = Tutorial Time-accurate DDES CFD on XV-\u001b[1;36m15\u001b[0m from Python                                   \n",
       "\u001b[2;36m           \u001b[0m        id     = case-\u001b[93mf1ced317-b54b-42b5-9831-2c13d492f880\u001b[0m                                              \n",
       "\u001b[2;36m           \u001b[0m        status = pending                                                                                \n",
       "\u001b[2;36m           \u001b[0m                                                                                                        \n"
      ]
     },
     "metadata": {}
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   ],
   "id": "fd680a45"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7. Post Processing\n",
    "Once the simulation is finished, we will monitor the convergence of forces and residuals."
   ],
   "id": "cfe4fc89"
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [
    "case.wait()\n",
    "results = case.results\n",
    "\n",
    "total_forces = case.results.total_forces.as_dataframe()\n",
    "total_forces.plot(\"physical_step\", [\"CL\", \"CD\"])\n",
    "\n",
    "non_linear = case.results.nonlinear_residuals.as_dataframe()\n",
    "non_linear.plot(\n",
    "    \"physical_step\",\n",
    "    [\"0_cont\", \"1_momx\", \"2_momy\", \"3_momz\", \"4_energ\", \"5_nuHat\"],\n",
    "    logy=True,\n",
    ")\n",
    "plt.xlim(550, 600)\n",
    "plt.show()"
   ],
   "execution_count": 7,
   "outputs": [
    {
     "output_type": "display_data",
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       "\u001b[2;36m[11:27:52]\u001b[0m\u001b[2;36m \u001b[0m\u001b[36mINFO\u001b[0m: Saved to \u001b[35m/tmp/tmpn_0xth2e/\u001b[0m\u001b[95m5ecb7daf-6cce-4a22-8b3a-452c4b33b6fc.csv\u001b[0m                                \n"
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KShiNRquJiIiI2ieHBCCDwQBfX1+rMldXV3h7e8NgMDTYxt3dHVqt1qrcz8+vwTYN9ePn51evj9p5DVmyZAk0Go00BQYG2r1MIiIialuaFIDmz58PhULR6NSUw0ytyYIFC1BeXi5Np06dcvaQiIiIyEFcm1J53rx5mDx5cqN1evbsCZ1Oh5KSEqvy6upqlJaWQqfT2Wyn0+lQVVWFsrIyq71AxcXFDbZpqJ9rrxyr/dxYPyqVCiqVyu7lEBERUdvVpADk4+MDHx+f69bT6/UoKytDdnY2wsLCAAAZGRkwm82IjIy02SYsLAxubm5IT09HbGwsACA/Px+FhYXQ6/V2j1Gv1+O5556DyWSCm5sbACAtLQ19+vTBLbfcYnc/RERE1H455Byg0NBQjBo1CtOmTcO+ffuwZ88eJCYmYsKECdIVYEVFRQgJCcG+ffsAABqNBvHx8UhKSsLXX3+N7OxsPP7449Dr9VZXgJ04cQI5OTkwGAy4cuUKcnJykJOTg6qqKgDAn/70J7i7uyM+Ph65ubn46KOPsHz5ciQlJTliVYmIiKgNatIeoKZYt24dEhMTERUVBaVSidjYWCQnJ0vzTSYT8vPzcfnyZals2bJlUt3KykrExMRg5cqVVv1OnToVu3btkj7ffvvtAICCggL06NEDGo0GX375JRISEhAWFoYuXbpg4cKF170HEREREcmHQ+4D1B7wPkBERERtj1PvA0RERETUmjEAERERkewwABEREZHsMAARERGR7DAAERERkewwABEREZHsMAARERGR7DAAERERkewwABEREZHsMAC1tOz3gM9nA//b6eyREBERyRYDUEsr2A0cfA8oyXP2SIiIiGSLAYiIiIhkhwGIiIiIZIcBiIiIiGSHAYiIiIhkhwGIiIiIZIcBiIiIiGSHAYiIiIhkhwGIiIiIZIcBiIiIiGSHAYiIiIhkhwGIiIiIZIcBiIiIiGSHAYiIiIhkhwGIiIiIZIcBiIiIiGSHAYiIiIhkhwGIiIiIZIcBiIiIiGSHAYiIiIhkhwGIiIiIZMdhAai0tBRxcXFQq9XQarWIj4/HxYsXG21TUVGBhIQEdO7cGV5eXoiNjUVxcbFVndmzZyMsLAwqlQqDBg2q18fJkyehUCjqTXv37m3O1SMiIqI2zGEBKC4uDrm5uUhLS8PWrVuxe/duTJ8+vdE2c+fOxZYtW7Bhwwbs2rULp0+fxtixY+vVmzJlCsaPH99oX1999RXOnDkjTWFhYTe1PkRERNR+uDqi07y8PKSmpmL//v0IDw8HALzxxhsYPXo0/vnPfyIgIKBem/LycvznP//B+vXrMXLkSADAu+++i9DQUOzduxdDhgwBACQnJwMAzp49ix9++KHBMXTu3Bk6na65V42IiIjaAYfsAcrMzIRWq5XCDwBER0dDqVQiKyvLZpvs7GyYTCZER0dLZSEhIQgKCkJmZmaTx/DQQw/B19cXd955Jz7//POmrwQRERG1Ww7ZA2QwGODr62u9IFdXeHt7w2AwNNjG3d0dWq3WqtzPz6/BNrZ4eXnhX//6F4YNGwalUomNGzfi4YcfxubNm/HQQw812K6yshKVlZXSZ6PRaPcyiYiIqG1p0h6g+fPn2zzB+Orp6NGjjhqrXbp06YKkpCRERkZi8ODBePXVV/Hoo49i6dKljbZbsmQJNBqNNAUGBrbQiImIiKilNWkP0Lx58zB58uRG6/Ts2RM6nQ4lJSVW5dXV1SgtLW3wvBydToeqqiqUlZVZ7QUqLi6+6XN5IiMjkZaW1midBQsWICkpSfpsNBoZgoiIiNqpJgUgHx8f+Pj4XLeeXq9HWVkZsrOzpauvMjIyYDabERkZabNNWFgY3NzckJ6ejtjYWABAfn4+CgsLodfrmzLMenJycuDv799oHZVKBZVKdVPLISIiorbBIecAhYaGYtSoUZg2bRpSUlJgMpmQmJiICRMmSFeAFRUVISoqCmvXrkVERAQ0Gg3i4+ORlJQEb29vqNVqzJo1C3q9XroCDABOnDiBixcvwmAw4MqVK8jJyQEA9O3bF+7u7njvvffg7u6O22+/HQCwadMmvPPOO1i9erUjVpWIiIjaIIcEIABYt24dEhMTERUVBaVSidjYWOkSdgAwmUzIz8/H5cuXpbJly5ZJdSsrKxETE4OVK1da9Tt16lTs2rVL+lwbdAoKCtCjRw8AwN/+9jf8/PPPcHV1RUhICD766COMGzfOUatK1LLMNUB1JaB0ARQuv70qnD0qIqI2RSGEEM4eRGtkNBqh0WhQXl4OtVrdfB1/Eg8c/gQY9Sow5Mnm65fal7PHgP1vAz9lAOdO2NFAAeCaH+UhCUD3oYD/QKCDxhKShPm3SVz13sZkqgAUSkub2lfUvldaz3PvCLh7MYQRUatg7/e3w/YAEZEdzDXAofeBLbNvsiMbf8fsfdMyOUvw3UBFOXDmeyDgdsB42vLqE2LZg9VdDyhdf5tcLK9XzgOenS2T0hXo6AOo1IALf1URUfPibxWipjLXABl/B779d/15bp6A6bJ1Wc8RgHdPoMedgOFH2+2up9e9QNcwwKcPEDDIEhBq9+KYawBRA5QWANvmASW5Tej42r06v03maqCm0rLnSKBuzxCu2XNkrm6464Ldde9PH7K8Hku1TACQtapp2+Ba6q5Axy7AwD8BpT8Bt0ZZxux9K+DpbQlPLm43twwiarcYgIiup+wU8P5Y4Ndj1697bfgBgP99bZkO/Of67d29gKiFQP8/WL7Em6KTDpj5Xf1ycw1QXWE5X6jeIaxmOGx15bzlkFnRAcCzC3AiDeigBdQBwOVSS+DrfR9w8D3rdoFDLMHNXG2ZqivrtrG7F1DV+MOTYSyyTGe+t3ze91bj9b38gE7+wB1/Bs79ZDk86Nahbi9U5QVAG2Q5pOfhbRmD0mGPSyQiJ2MAIrqWEMCufwA7l9hXv+8YIGK6ZY+EQmEJHAffA/Yst67ncYslhFz+1fK5+zAg8gmgd4zli9hRlC6WL3VH8bgF8ACgftDyufs1t62I/O0hyA8lo8mqq4ArpZbzoAq+sbz/+Tug+HDT+7pYbJm25Vg+N/XwoEIJaLsD5wsAXX/A7zbg/M/Aqb1A5JOWvVy9ogBNN6DbYOCWYAYoolaMAYio1tHtwIcTG6+jdAUeXA70Gwu4ezZc796XLRPdHFd3y56tTjrLIUR7VVcBZ49aDo0d+RzI3WS7nm6AJbCeOw7UVDXepzBbwg9gOZRp+LFuXm2YKrSxB66WZxdg4ASgJA/o9whQ9jMQGAm4uFv2lnX0qTtZnYgcjgGI5M1cA6TcCZQcaaCCApiwDugzml9MbYmrO+A/wDL1ewT4w7v2txXCcvit6rLlkJybB3DkM6BbOHDpVyArBQh9CFB1AvK2WA79dekD/JrfeL+XfwUyV1je/5R+/XF0+V3dIUHvWy2H55SulvOaSv9nCXh9RgNQWPqLfMJS3vMey165jr6W4OjiBrh6WPYE4qrDntKVfTfx2pSfCSEsk9V5ZKL++WU11ZZDo1Ld2hP8xTVlNl5rlyO92lG3ugIoPwV0CvjtcKzJ8nr+Z8s2Dr7begxXL8Nmma06uE6dG+n3qro31S8svwcvnLYcIq7X5zXtGpxvT51rPnvpgP7jfvu/2fJ4GXwDeBl8O3doHfDZzIbnz/jWcpiD6EaYKizh5ec9lv9rJbmWL3eFi+XLvd1R1N1mAbDs1bo27BDZ8ugmy6HjZsTL4ImuZqoAPooDTnzVcJ3hz1omJ/01Qu2IW4e6PVD2/qFTUW7Z61R0wLL3pqbKcs7S8S8tJ5ELM1Dz296JkjwgZz0Q/rjl3KOCXZZzjmoP0dWy52TyZiGs/9q/3uFEu9nY8wQ0YS9VA31Ie64UwKXfnlvp5ffbLRfcLL8Dag9x+g+07EG7uo00BjRShvptbJU1qd8GPl+3Hzv6ramyXPDh87v69Wz1Bzv6b2ze9+uB0Act29xJGICo/aquBP4dClw+13AdlQZ4fDugu63lxkVkSweNZao9mbxW/wbuYn//q/b3bXX46WZe0fj86grLz517x6tuoqlE3e0WGrqx5tXvXXjfJzl45CZvg9EM+L+M2p+qS8ArAQ3P1wQB4/4DBEa03JiInKm5bnlA1I4wAFH7YTYDf+ti+xwLfSJwz3zLiatERCR7DEDUPqQuAPaurF8+fafl8QtERERXYQCitu2bfwPpL9Uvf+xT4NaRLT8eIiJqExiAqO2pqQZShlnu0XGt+5fW3XmYiIioAQxA1DYIYXm0xFeLbM8fNgcYuZBXjxARkV34bUGt1+lDwFv3NF4nahFw51xe4UJERE3CAEStT+3dshvi6gHM+Abo0rvlxkRERO0KAxC1Hj9nAu+Osj1v4ERg5AuApmvLjomIiNolBiByvl+PAyvC65cPnQ1Ev8hHUxARUbNjACLnKDsFvN7A4yf6jgFi3+EJzURE5DD8hqGW96LGdrlrB2DWQR7mIiIih2MAopZjNgMv31K/fMhMIGoh4ObR8mMiIiJZYgCilvOfe60/P3UY0AY6ZyxERCRrSmcPQLYqjECNydmjaDnnfwaKDtR9TjrK8ENERE7DAOQsO1+xPLlcLpYPqHsf9wmg9nfeWIiISPYYgMjxLv1a976jD9D73obrEhERtQAGIHK8pbfWvZ+8zXnjICIi+g0DEDlW6f/q3rt7AV1+57yxEBER/YYByNmEcPYIHGv7M3Xvx6zgQ0uJiKhVYABytoy/OXsEjmOqAE6k/fZBAYQ86NThEBER1WIAcraSPGePwHF+2V/3fsRf+WgLIiJqNRiAyHHe+33d+7ufdt44iIiIruHQAFRaWoq4uDio1WpotVrEx8fj4sWLjbapqKhAQkICOnfuDC8vL8TGxqK4uFia//3332PixIkIDAyEh4cHQkNDsXz58nr97Ny5E3fccQdUKhV69eqFNWvWNPfqUWOKc+ve93mA5/4QEVGr4tAAFBcXh9zcXKSlpWHr1q3YvXs3pk+f3mibuXPnYsuWLdiwYQN27dqF06dPY+zYsdL87Oxs+Pr64v3330dubi6ee+45LFiwACtWrJDqFBQU4IEHHsCIESOQk5ODp556ClOnTsWOHTsctq50jVVD696Pfs154yAiIrJBIYRjLkPKy8tD3759sX//foSHhwMAUlNTMXr0aPzyyy8ICAio16a8vBw+Pj5Yv349xo0bBwA4evQoQkNDkZmZiSFDhthcVkJCAvLy8pCRkQEAePbZZ7Ft2zYcPnxYqjNhwgSUlZUhNTXVrvEbjUZoNBqUl5dDrVY3ad0b9Uk8cPiTus99RgMTP2i+/pvqfzsBpSvQfVjz7aXJ2wJ89KjlvU8IkJDVPP0SERFdh73f3w7bA5SZmQmtViuFHwCIjo6GUqlEVpbtL8Ts7GyYTCZER0dLZSEhIQgKCkJmZmaDyyovL4e3t7fVsq/uAwBiYmIa7aOyshJGo9Fqavde1ABrxwBrHgBe0gKVjR+etFtt+AGA37/ePH0SERE1I4cFIIPBAF9fX6syV1dXeHt7w2AwNNjG3d0dWq3WqtzPz6/BNt999x0++ugjq0NrBoMBfn5+9fowGo24cuWKzX6WLFkCjUYjTYGBLfSgzvztgPF0yyzrarYexHr1Scs36uslde9Dfg901998n0RERM2syQFo/vz5UCgUjU5Hjx51xFjrOXz4MMaMGYNFixbhvvvuu6m+FixYgPLycmk6depUM43SDkc+b7ll1Xrjjvplpw8B+V/ceJ9njwG7Xq37fD/P/SEiotapyTdmmTdvHiZPntxonZ49e0Kn06GkpMSqvLq6GqWlpdDpdDbb6XQ6VFVVoayszGovUHFxcb02R44cQVRUFKZPn47nn3++Xj9XXzlW24darYaHh4fNZatUKqhUqkbXy2HM1S2/zLLCuvezDtYFog8mANMygK5hlhsZihrAzfP65weVHAVWRtZ9jnkF0HRt/nETERE1gyYHIB8fH/j4+Fy3nl6vR1lZGbKzsxEWFgYAyMjIgNlsRmRkpM02YWFhcHNzQ3p6OmJjYwEA+fn5KCwshF5fdyglNzcXI0eOxKRJk7B48WKby96+fbtVWVpamlUfstdtsOVGhePeATrfCgQOAU7ttcx7e6TtNl3DgEfeArr0qiurvAAs6Va/b32CY8ZNRETUDBx2a97Q0FCMGjUK06ZNQ0pKCkwmExITEzFhwgTpCrCioiJERUVh7dq1iIiIgEajQXx8PJKSkuDt7Q21Wo1Zs2ZBr9dLV4AdPnwYI0eORExMDJKSkqRzg1xcXKRgNmPGDKxYsQLPPPMMpkyZgoyMDHz88cfYto1PIgcAlJ2qu0uzawfLa/wO4G++QE1lw+2KsoEVYY333XMEEPdJ43WIiIiczKHPJli3bh0SExMRFRUFpVKJ2NhYJCcnS/NNJhPy8/Nx+fJlqWzZsmVS3crKSsTExGDlypXS/E8++QRnz57F+++/j/fff18q7969O06ePAkACA4OxrZt2zB37lwsX74c3bp1w+rVqxETE+PI1W07VkfVvXe96rDfCyWAuQYoOQIo3QD3joDKC9gw2XK5/PXEpwGBEc09WiIiombnsPsAtXUtdh8gALhvMTA0sfmW0ZQxPF9iHYIaIwRg+NFy/tCZHMveHndPwLcf4OrusOESERHZy97vbz6dUo60v13iPyTB/vADWE6E9h9gmUKb4ZJ5IiIiJ+HDUImIiEh2GIDkxmwGvl3m7FEQERE5FQOQ3Ox7q+49n9BOREQyxQDkTL59W36ZHbvUvQ95oOWXT0RE1AowALUGLXkn6A5ay6tuANB9aMstl4iIqBVhAHKmkiOW168WARUyePo8ERFRK8EA1FqU/uTsERAREckGAxARERHJDgOQM3l2bvllHt/R8sskIiJqZRiAnOmxzUCngJZbXk219WXwREREMsUA5GwteS+eq682Gzan5ZZLRETUyjAAydXvYpw9AiIiIqdhACIiIiLZYQAiIiIi2WEAIiIiItlhAHI2Y5HltTjXueMgIiKSEQag1uKzBMcv4/Qhxy+DiIioDWAAkpN3R9W9V7o6bxxEREROxgDkbL79LK+uHi23zNCHALcWXB4REVErwwDkbBPWWV6VLo5fVtcwy+ugOMcvi4iIqBVjACIiIiLZYQAiIiIi2WEAai2qLjp7BERERLLBAORs1ZV173f+w3njICIikhEGIGfz0Na9L8p22jCIiIjkhAHI2TrpgIgnHL+ctEUMWERERL9hAGoN/Ac4fhmHN9a99w11/PKIiIhaMQag1uR8geP67veI5XXwVOCW7o5bDhERURvAANQanMqyvP56DDi63bHLcu3g2P6JiIjaAAag1iB0TN37c8edNw4iIiKZcGgAKi0tRVxcHNRqNbRaLeLj43HxYuP3u6moqEBCQgI6d+4MLy8vxMbGori4WJr//fffY+LEiQgMDISHhwdCQ0OxfPlyqz527twJhUJRbzIYDA5Zz5vWOxoY+Cdnj4KIiEg2HBqA4uLikJubi7S0NGzduhW7d+/G9OnTG20zd+5cbNmyBRs2bMCuXbtw+vRpjB07VpqfnZ0NX19fvP/++8jNzcVzzz2HBQsWYMWKFfX6ys/Px5kzZ6TJ19e32dex2ZzNs7xmLAaEcO5YiIiI2jlXR3Wcl5eH1NRU7N+/H+Hh4QCAN954A6NHj8Y///lPBAQE1GtTXl6O//znP1i/fj1GjhwJAHj33XcRGhqKvXv3YsiQIZgyZYpVm549eyIzMxObNm1CYmKi1TxfX19otVrHrGBzO33I8lpTCRQfBnT9nTseIiKidsxhe4AyMzOh1Wql8AMA0dHRUCqVyMrKstkmOzsbJpMJ0dHRUllISAiCgoKQmZnZ4LLKy8vh7e1dr3zQoEHw9/fHvffeiz179tzE2rSAWQfr3ldXNW/fV84D3yU3b59ERERtmMMCkMFgqHfIydXVFd7e3g2ei2MwGODu7l5vr42fn1+Dbb777jt89NFHVofW/P39kZKSgo0bN2Ljxo0IDAzEPffcg4MHD9rsAwAqKythNBqtphbV+da69zuXNG/fB9fWve/o07x9ExERtUFNDkDz58+3eYLx1dPRo0cdMdZ6Dh8+jDFjxmDRokW47777pPI+ffrgiSeeQFhYGIYOHYp33nkHQ4cOxbJlyxrsa8mSJdBoNNIUGBjYEqtg24m05u3PJ6TufeSM5u2biIioDWryOUDz5s3D5MmTG63Ts2dP6HQ6lJSUWJVXV1ejtLQUOp3OZjudToeqqiqUlZVZ7QUqLi6u1+bIkSOIiorC9OnT8fzzz1933BEREfj2228bnL9gwQIkJSVJn41GY8uHoGlfA2+PsLy/WAJ4NddJ2wrLS8DtgBvvA0RERNTkAOTj4wMfn+sfRtHr9SgrK0N2djbCwsIAABkZGTCbzYiMjLTZJiwsDG5ubkhPT0dsbCwAy5VchYWF0Ov1Ur3c3FyMHDkSkyZNwuLFi+0ad05ODvz9/Rucr1KpoFKp7OrLYTyvOo/py+eBsW85byxERETtmMOuAgsNDcWoUaMwbdo0pKSkwGQyITExERMmTJCuACsqKkJUVBTWrl2LiIgIaDQaxMfHIykpCd7e3lCr1Zg1axb0ej2GDBkCwHLYa+TIkYiJiUFSUpJ0bpCLi4sUzF5//XUEBwejX79+qKiowOrVq5GRkYEvv/zSUavbPG7pUff+2A7L5fAKhdOGQ0RE1F459D5A69atQ0hICKKiojB69GjceeedeOutur0aJpMJ+fn5uHz5slS2bNky/P73v0dsbCzuvvtu6HQ6bNq0SZr/ySef4OzZs3j//ffh7+8vTYMHD5bqVFVVYd68eejfvz+GDx+O77//Hl999RWioqIcubrNY9CjlteKMuDHT5w6FCIiovZKIQTvumeL0WiERqNBeXk51Gp183X8STxw+Ldg88Q39Z8E/+3rwFeLLO9DHwLG//fml/ntMuCrFy3nAE3fefP9ERERtVL2fn/zWWCtzZ1P1b3P+xw4//PN9VddZQk/AGCuubm+iIiI2gkGoNbu0Ps3195sqns/cMLN9UVERNROMAC1Rs8U1L3f/Vrz9Rv2ePP1RURE1IYxALVGntc81iOLl8MTERE1Jwag1urpn+ref/E0cLnUeWMhIiJqZxiAWquOXYCudQ+SxeYnnTcWIiKidoYBqDWb9Hnd+2OplpsjNtUrAc03HiIionaCAag1c+8IjHu37vP6PwLlv9x4f658DhgRERHAANT63TbW+vOyfsClX+1v7z/Q8jp+HaDkPzcRERHAANQ2vHDO+vPSW4Eak+269fz2LDFXJz/olYiIqBVhAGoLXFyBmXutyxbrLA9LbUxNNXAmx2HDIiIiaqsYgNoK31DgsU/rPpurgaW9AFNFw23eHNzwPCIiIhljAGpLbh0JTPmy7vPlX4FX/C17emxx71j3vmuYY8dGRETUhjAAtTVBkcBfTtR9Fmbgb50B05X6dYOHW16Hzal/d2kiIiIZYwBqi7x8gIkfWZct1gFXztd9PpsPZK5o2XERERG1EQxAbVWfUcCkLdZl/+hRd05Q3lXztEEtNiwiIqK2gAGoLQu+G5idY1222A+4UgZk/K2uLDy+JUdFRETU6jEAtXXewcCc763L/tG97n2f0YBC0bJjIiIiauUYgNqDW3rUv1lirbFvtehQiIiI2gIGoPbCxRVYVAbcMcnyOfQhICkPUHVy6rCIiIhaI1dnD4CakUIBPJRsmYiIiKhB3ANEREREssMA1NJ+zXf2CIiIiGSPAailGX6se+9xi/PGQUREJGMMQM6kDXT2CIiIiGSJAchZtN2vX4eIiIgcggGIiIiIZIcBiIiIiGSHAYiIiIhkhwGIiIiIZIcBiIiIiGSHAYiIiIhkx6EBqLS0FHFxcVCr1dBqtYiPj8fFixcbbVNRUYGEhAR07twZXl5eiI2NRXFxsTT/3LlzGDVqFAICAqBSqRAYGIjExEQYjUarfnbu3Ik77rgDKpUKvXr1wpo1axyxikRERNQGOTQAxcXFITc3F2lpadi6dSt2796N6dOnN9pm7ty52LJlCzZs2IBdu3bh9OnTGDt2bN2AlUqMGTMGn3/+OY4dO4Y1a9bgq6++wowZM6Q6BQUFeOCBBzBixAjk5OTgqaeewtSpU7Fjxw6HrSsRERG1HQohhHBEx3l5eejbty/279+P8PBwAEBqaipGjx6NX375BQEBAfXalJeXw8fHB+vXr8e4ceMAAEePHkVoaCgyMzMxZMgQm8tKTk7G0qVLcerUKQDAs88+i23btuHw4cNSnQkTJqCsrAypqal2jd9oNEKj0aC8vBxqtbpJ696oFzWWV2134Kkfmq9fIiIisvv722F7gDIzM6HVaqXwAwDR0dFQKpXIysqy2SY7OxsmkwnR0dFSWUhICIKCgpCZmWmzzenTp7Fp0yYMHz7catlX9wEAMTExDfZBRERE8uKwAGQwGODr62tV5urqCm9vbxgMhgbbuLu7Q6vVWpX7+fnVazNx4kR4enqia9euUKvVWL16tVU/fn5+9fowGo24cuWKzWVXVlbCaDRaTURERNQ+NTkAzZ8/HwqFotHp6NGjjhirlWXLluHgwYP47LPP8NNPPyEpKemm+luyZAk0Go00BQbyQaVERETtlWtTG8ybNw+TJ09utE7Pnj2h0+lQUlJiVV5dXY3S0lLodDqb7XQ6HaqqqlBWVma1F6i4uLheG51OB51Oh5CQEHh7e+Ouu+7CCy+8AH9/f+h0Oqsrx2r7UKvV8PDwsLnsBQsWWIUoo9HIEERERNRONTkA+fj4wMfH57r19Ho9ysrKkJ2djbCwMABARkYGzGYzIiMjbbYJCwuDm5sb0tPTERsbCwDIz89HYWEh9Hp9g8sym80ALIexape9fft2qzppaWmN9qFSqaBSqa67XkRERNT2NTkA2Ss0NBSjRo3CtGnTkJKSApPJhMTEREyYMEG6AqyoqAhRUVFYu3YtIiIioNFoEB8fj6SkJHh7e0OtVmPWrFnQ6/XSFWDbt29HcXExBg8eDC8vL+Tm5uLpp5/GsGHD0KNHDwDAjBkzsGLFCjzzzDOYMmUKMjIy8PHHH2Pbtm2OWl0iIiJqQxwWgABg3bp1SExMRFRUFJRKJWJjY5GcnCzNN5lMyM/Px+XLl6WyZcuWSXUrKysRExODlStXSvM9PDzw9ttvY+7cuaisrERgYCDGjh2L+fPnS3WCg4Oxbds2zJ07F8uXL0e3bt2wevVqxMTEOHJ1iYiIqI1w2H2A2jreB4iIiKjtcfp9gIiIiIhaKwYgIiIikh0GICIiIpIdBiAiIiKSHQYgIiIikh0GICIiIpIdBiAiIiKSHQYgIiIikh0GICIiIpIdBiAiIiKSHQYgIiIikh0GICIiIpIdBiAiIiKSHQYgIiIikh0GICIiIpIdBiAiIiKSHQYgIiIikh0GICIiIpIdBiAiIiKSHQYgIiIikh0GICIiIpIdBiAiIiKSHQYgIiIikh0GICIiIpIdBiAiIiKSHQYgIiIikh0GICIiIpIdBiAiIiKSHQYgIiIikh0GICIiIpIdBiAiIiKSHQYgIiIikh2HBqDS0lLExcVBrVZDq9UiPj4eFy9ebLRNRUUFEhIS0LlzZ3h5eSE2NhbFxcXS/HPnzmHUqFEICAiASqVCYGAgEhMTYTQapTo7d+6EQqGoNxkMBoetKxEREbUdDg1AcXFxyM3NRVpaGrZu3Yrdu3dj+vTpjbaZO3cutmzZgg0bNmDXrl04ffo0xo4dWzdgpRJjxozB559/jmPHjmHNmjX46quvMGPGjHp95efn48yZM9Lk6+vb7OtIREREbY9CCCEc0XFeXh769u2L/fv3Izw8HACQmpqK0aNH45dffkFAQEC9NuXl5fDx8cH69esxbtw4AMDRo0cRGhqKzMxMDBkyxOaykpOTsXTpUpw6dQqAZQ/QiBEjcP78eWi12hsav9FohEajQXl5OdRq9Q31YdOLGsurtjvw1A/N1y8RERHZ/f3tsD1AmZmZ0Gq1UvgBgOjoaCiVSmRlZdlsk52dDZPJhOjoaKksJCQEQUFByMzMtNnm9OnT2LRpE4YPH15v3qBBg+Dv7497770Xe/bsaXS8lZWVMBqNVhMRERG1Tw4LQAaDod4hJ1dXV3h7ezd4Lo7BYIC7u3u9vTZ+fn712kycOBGenp7o2rUr1Go1Vq9eLc3z9/dHSkoKNm7ciI0bNyIwMBD33HMPDh482OB4lyxZAo1GI02BgYFNXGMiIiJqK1yb2mD+/Pn4xz/+0WidvLy8Gx6QvZYtW4ZFixbh2LFjWLBgAZKSkrBy5UoAQJ8+fdCnTx+p7tChQ/HTTz9h2bJl+O9//2uzv9o+ahmNRoYgIiJyOiEEqqurUVNT4+yhtAouLi5wdXWFQqG4qX6aHIDmzZuHyZMnN1qnZ8+e0Ol0KCkpsSqvrq5GaWkpdDqdzXY6nQ5VVVUoKyuz2gtUXFxcr41Op4NOp0NISAi8vb1x11134YUXXoC/v7/NviMiIvDtt982OGaVSgWVStXoehEREbWkqqoqnDlzBpcvX3b2UFoVT09P+Pv7w93d/Yb7aHIA8vHxgY+Pz3Xr6fV6lJWVITs7G2FhYQCAjIwMmM1mREZG2mwTFhYGNzc3pKenIzY2FoDlSq7CwkLo9foGl2U2mwFYzuNpSE5OToPhiIiIqLUxm80oKCiAi4sLAgIC4O7uftN7Pdo6IQSqqqpw9uxZFBQUoHfv3lAqb+xsniYHIHuFhoZi1KhRmDZtGlJSUmAymZCYmIgJEyZIV4AVFRUhKioKa9euRUREBDQaDeLj45GUlARvb2+o1WrMmjULer1eugJs+/btKC4uxuDBg+Hl5YXc3Fw8/fTTGDZsGHr06AEAeP311xEcHIx+/fqhoqICq1evRkZGBr788ktHrS4REVGzqqqqgtlsRmBgIDw9PZ09nFbDw8MDbm5u+Pnnn1FVVYUOHTrcUD8OC0AAsG7dOiQmJiIqKgpKpRKxsbFITk6W5ptMJuTn51vt2lu2bJlUt7KyEjExMdK5PYBlxd9++23MnTsXlZWVCAwMxNixYzF//nypTlVVFebNm4eioiJ4enpiwIAB+OqrrzBixAhHri4REVGzu9E9HO1Zc2wTh90HqK3jfYCIiMiZKioqUFBQgODg4Bvey9FeNbZtnH4fICIiIqLWigGIiIiIHMJgMGDWrFno2bOn9PzOBx98EOnp6QCAHj164PXXX3fK2Bx6DhARERHJ08mTJzFs2DBotVosXboU/fv3h8lkwo4dO5CQkICjR486dXwMQERERNTsZs6cCYVCgX379qFjx45Seb9+/TBlyhQnjsyCAYiIiKiNEELgisk5d4T2cHOx+z5EpaWlSE1NxeLFi63CT60bfVB5c2IAIiIiaiOumGrQd+EOpyz7yMsx8HS3LzacOHECQgiEhIQ4eFQ3jidBExERUbNqC3fY4R4gIiKiNsLDzQVHXo5x2rLt1bt3bygUCqef6NwYBiAiIqI2QqFQ2H0Yypm8vb0RExODN998E7Nnz653HtC1Dz13Bh4CIyIiomb35ptvoqamBhEREdi4cSOOHz+OvLw8JCcnWz3gvKioCDk5OVbT+fPnHT4+BiAiIiJqdj179sTBgwcxYsQIzJs3D7fddhvuvfdepKenY9WqVVK9f/7zn7j99tutpm3btjl8fK1/PxoRERG1Sf7+/lixYgVWrFhhc/7JkydbdkBX4R4gIiIikh0GICIiIpIdBiAiIiKSHQYgIiIikh0GICIiIpIdBiAiIiKSHQYgIiIikh0GICIiIpIdBiAiIiKSHQYgIiIikh0GICIiInIIg8GAWbNmoWfPnlCpVAgMDMSDDz6I9PR0AECPHj2gUCigUCjg4eGBHj164I9//CMyMjIcPjYGICIiImp2J0+eRFhYGDIyMrB06VL8+OOPSE1NxYgRI5CQkCDVe/nll3HmzBnk5+dj7dq10Gq1iI6OxuLFix06Pj4MlYiIiJrdzJkzoVAosG/fPnTs2FEq79evH6ZMmSJ97tSpE3Q6HQAgKCgId999N/z9/bFw4UKMGzcOffr0ccj4uAeIiIiorRACqLrknEkIu4dZWlqK1NRUJCQkWIWfWlqtttH2c+bMgRACn332WVO3kN24B4iIiKitMF0GXglwzrL/ehpwrx9mbDlx4gSEEAgJCbmhRXl7e8PX1xcnT568ofb24B4gIiIialaiCXuLGutDoVA0w2hs4x4gIiKitsLN07InxlnLtlPv3r2hUChw9OjRG1rUuXPncPbsWQQHB99Qe3swABEREbUVCoXdh6GcydvbGzExMXjzzTcxe/bseucBlZWVNXoe0PLly6FUKvHwww87bIw8BOYsLm7OHgEREZHDvPnmm6ipqUFERAQ2btyI48ePIy8vD8nJydDr9VK9CxcuwGAw4NSpU9i9ezemT5+Ov//971i8eDF69erlsPE5NACVlpYiLi4OarUaWq0W8fHxuHjxYqNtKioqkJCQgM6dO8PLywuxsbEoLi62WffcuXPo1q0bFAoFysrKrObt3LkTd9xxB1QqFXr16oU1a9Y001rdpLvmWV5/v8y54yAiInKgnj174uDBgxgxYgTmzZuH2267Dffeey/S09OxatUqqd7ChQvh7++PXr164bHHHkN5eTnS09Px7LPPOnR8CtEcZyo14P7778eZM2fwf//3fzCZTHj88ccxePBgrF+/vsE2Tz75JLZt24Y1a9ZAo9EgMTERSqUSe/bsqVf34YcfRlVVFb744gucP39e2p1WUFCA2267DTNmzMDUqVORnp6Op556Ctu2bUNMTIxdYzcajdBoNCgvL4darb6h9SciIrpRFRUVKCgoQHBwMDp06ODs4bQqjW0bu7+/hYMcOXJEABD79++Xyr744guhUChEUVGRzTZlZWXCzc1NbNiwQSrLy8sTAERmZqZV3ZUrV4rhw4eL9PR0AUCcP39emvfMM8+Ifv36WdUfP368iImJsXv85eXlAoAoLy+3uw0REVFzuXLlijhy5Ii4cuWKs4fS6jS2bez9/nbYIbDMzExotVqEh4dLZdHR0VAqlcjKyrLZJjs7GyaTCdHR0VJZSEgIgoKCkJmZKZUdOXIEL7/8MtauXQulsv4qZGZmWvUBADExMVZ9EBERkXw5LAAZDAb4+vpalbm6usLb2xsGg6HBNu7u7vXODPfz85PaVFZWYuLEiVi6dCmCgoIa7MfPz69eH0ajEVeuXLHZprKyEkaj0WoiIiKi9qnJAWj+/PnSk1sbmm70un97LFiwAKGhoXj00Uebtd8lS5ZAo9FIU2BgYLP2T0RERK1Hk+8DNG/ePEyePLnROj179oROp0NJSYlVeXV1NUpLS6WHnl1Lp9Ohqqqq3v0BiouLpTYZGRn48ccf8cknnwCou9tkly5d8Nxzz+Gll16CTqerd+VYcXEx1Go1PDw8bC57wYIFSEpKkj4bjUaGICIionaqyQHIx8cHPj4+162n1+tRVlaG7OxshIWFAbCEF7PZjMjISJttwsLC4ObmhvT0dMTGxgIA8vPzUVhYKN0zYOPGjVaHsfbv348pU6bgm2++wa233iote/v27VZ9p6WlWd134FoqlQoqleq660VERNSShOMu1m6zmmObOOxO0KGhoRg1ahSmTZuGlJQUmEwmJCYmYsKECQgIsDzIraioCFFRUVi7di0iIiKg0WgQHx+PpKQkeHt7Q61WY9asWdDr9RgyZAgASCGn1q+//iotr3av0YwZM7BixQo888wzmDJlCjIyMvDxxx9j27ZtjlpdIiKiZuXmZrlh7uXLlxs8eiFXly9fBlC3jW6EQx+FsW7dOiQmJiIqKgpKpRKxsbFITk6W5ptMJuTn50srAgDLli2T6lZWViImJgYrV65s0nKDg4Oxbds2zJ07F8uXL0e3bt2wevVqu+8BRERE5GwuLi7QarXS6SSenp4OfThoWyCEwOXLl1FSUgKtVgsXF5cb7suhN0Jsy3gjRCIicjYhBAwGQ72nHcidVquFTqezGQjt/f7mw1CJiIhaKYVCAX9/f/j6+sJkMjl7OK2Cm5vbTe35qcUARERE1Mq5uLg0y5c+1eHT4ImIiEh2GICIiIhIdhiAiIiISHZ4DlADai+O4zPBiIiI2o7a7+3rXeTOANSACxcuAAAfh0FERNQGXbhwARqNpsH5vA9QA8xmM06fPo1OnTo1642nap8xdurUKd5fyA7cXvbjtrIft1XTcHvZj9vKfo7aVkIIXLhwAQEBAVAqGz7Th3uAGqBUKtGtWzeH9a9Wq/nD0QTcXvbjtrIft1XTcHvZj9vKfo7YVo3t+anFk6CJiIhIdhiAiIiISHYYgFqYSqXCokWLoFKpnD2UNoHby37cVvbjtmoabi/7cVvZz9nbiidBExERkexwDxARERHJDgMQERERyQ4DEBEREckOA1ALe/PNN9GjRw906NABkZGR2Ldvn7OH1OJ2796NBx98EAEBAVAoFNi8ebPVfCEEFi5cCH9/f3h4eCA6OhrHjx+3qlNaWoq4uDio1WpotVrEx8fj4sWLLbgWLWPJkiUYPHgwOnXqBF9fXzz88MPIz8+3qlNRUYGEhAR07twZXl5eiI2NRXFxsVWdwsJCPPDAA/D09ISvry+efvppVFdXt+SqONyqVaswYMAA6Z4ier0eX3zxhTSf26lhr776KhQKBZ566impjNurzosvvgiFQmE1hYSESPO5rawVFRXh0UcfRefOneHh4YH+/fvjwIED0vxW8zteUIv58MMPhbu7u3jnnXdEbm6umDZtmtBqtaK4uNjZQ2tR27dvF88995zYtGmTACA+/fRTq/mvvvqq0Gg0YvPmzeL7778XDz30kAgODhZXrlyR6owaNUoMHDhQ7N27V3zzzTeiV69eYuLEiS28Jo4XExMj3n33XXH48GGRk5MjRo8eLYKCgsTFixelOjNmzBCBgYEiPT1dHDhwQAwZMkQMHTpUml9dXS1uu+02ER0dLQ4dOiS2b98uunTpIhYsWOCMVXKYzz//XGzbtk0cO3ZM5Ofni7/+9a/Czc1NHD58WAjB7dSQffv2iR49eogBAwaIOXPmSOXcXnUWLVok+vXrJ86cOSNNZ8+eleZzW9UpLS0V3bt3F5MnTxZZWVnif//7n9ixY4c4ceKEVKe1/I5nAGpBERERIiEhQfpcU1MjAgICxJIlS5w4Kue6NgCZzWah0+nE0qVLpbKysjKhUqnEBx98IIQQ4siRIwKA2L9/v1Tniy++EAqFQhQVFbXY2J2hpKREABC7du0SQli2jZubm9iwYYNUJy8vTwAQmZmZQghL4FQqlcJgMEh1Vq1aJdRqtaisrGzZFWhht9xyi1i9ejW3UwMuXLggevfuLdLS0sTw4cOlAMTtZW3RokVi4MCBNudxW1l79tlnxZ133tng/Nb0O56HwFpIVVUVsrOzER0dLZUplUpER0cjMzPTiSNrXQoKCmAwGKy2k0ajQWRkpLSdMjMzodVqER4eLtWJjo6GUqlEVlZWi4+5JZWXlwMAvL29AQDZ2dkwmUxW2yskJARBQUFW26t///7w8/OT6sTExMBoNCI3N7cFR99yampq8OGHH+LSpUvQ6/XcTg1ISEjAAw88YLVdAP6/suX48eMICAhAz549ERcXh8LCQgDcVtf6/PPPER4ejj/84Q/w9fXF7bffjrffflua35p+xzMAtZBff/0VNTU1Vj8AAODn5weDweCkUbU+tduise1kMBjg6+trNd/V1RXe3t7teluazWY89dRTGDZsGG677TYAlm3h7u4OrVZrVffa7WVre9bOa09+/PFHeHl5QaVSYcaMGfj000/Rt29fbicbPvzwQxw8eBBLliypN4/by1pkZCTWrFmD1NRUrFq1CgUFBbjrrrtw4cIFbqtr/O9//8OqVavQu3dv7NixA08++SRmz56N9957D0Dr+h3Ph6EStREJCQk4fPgwvv32W2cPpdXq06cPcnJyUF5ejk8++QSTJk3Crl27nD2sVufUqVOYM2cO0tLS0KFDB2cPp9W7//77pfcDBgxAZGQkunfvjo8//hgeHh5OHFnrYzabER4ejldeeQUAcPvtt+Pw4cNISUnBpEmTnDw6a9wD1EK6dOkCFxeXelcGFBcXQ6fTOWlUrU/ttmhsO+l0OpSUlFjNr66uRmlpabvdlomJidi6dSu+/vprdOvWTSrX6XSoqqpCWVmZVf1rt5et7Vk7rz1xd3dHr169EBYWhiVLlmDgwIFYvnw5t9M1srOzUVJSgjvuuAOurq5wdXXFrl27kJycDFdXV/j5+XF7NUKr1eJ3v/sdTpw4wf9b1/D390ffvn2tykJDQ6VDhq3pdzwDUAtxd3dHWFgY0tPTpTKz2Yz09HTo9Xonjqx1CQ4Ohk6ns9pORqMRWVlZ0nbS6/UoKytDdna2VCcjIwNmsxmRkZEtPmZHEkIgMTERn376KTIyMhAcHGw1PywsDG5ublbbKz8/H4WFhVbb68cff7T6hZKWlga1Wl3vF1V7YzabUVlZye10jaioKPz444/IycmRpvDwcMTFxUnvub0advHiRfz000/w9/fn/61rDBs2rN6tOo4dO4bu3bsDaGW/45vtdGq6rg8//FCoVCqxZs0aceTIETF9+nSh1WqtrgyQgwsXLohDhw6JQ4cOCQDi3//+tzh06JD4+eefhRCWSyS1Wq347LPPxA8//CDGjBlj8xLJ22+/XWRlZYlvv/1W9O7du11eBv/kk08KjUYjdu7caXUJ7uXLl6U6M2bMEEFBQSIjI0McOHBA6PV6odfrpfm1l+Ded999IicnR6SmpgofH592dwnu/Pnzxa5du0RBQYH44YcfxPz584VCoRBffvmlEILb6XquvgpMCG6vq82bN0/s3LlTFBQUiD179ojo6GjRpUsXUVJSIoTgtrravn37hKurq1i8eLE4fvy4WLdunfD09BTvv/++VKe1/I5nAGphb7zxhggKChLu7u4iIiJC7N2719lDanFff/21AFBvmjRpkhDCcpnkCy+8IPz8/IRKpRJRUVEiPz/fqo9z586JiRMnCi8vL6FWq8Xjjz8uLly44IS1cSxb2wmAePfdd6U6V65cETNnzhS33HKL8PT0FI888og4c+aMVT8nT54U999/v/Dw8BBdunQR8+bNEyaTqYXXxrGmTJkiunfvLtzd3YWPj4+IioqSwo8Q3E7Xc20A4vaqM378eOHv7y/c3d1F165dxfjx463ua8NtZW3Lli3itttuEyqVSoSEhIi33nrLan5r+R3Pp8ETERGR7PAcICIiIpIdBiAiIiKSHQYgIiIikh0GICIiIpIdBiAiIiKSHQYgIiIikh0GICIiIpIdBiAiIiKSHQYgInKoHj164PXXX3dY//fccw+eeuqpZutv8uTJePjhh5utPyJqnVydPQAiopuxadMmuLm5OXsY9UyePBllZWXYvHmzs4dCRDYwABFRm+bt7e3sIRBRG8RDYER0U+655x4kJiYiMTERGo0GXbp0wQsvvICrHzN4+fJlTJkyBZ06dUJQUBDeeustad7IkSORmJho1efZs2fh7u6O9PR0AMDKlSvRu3dvdOjQAX5+fhg3bpzV8q8+BFZZWYlnn30WgYGBUKlU6NWrF/7zn/8AAGpqahAfH4/g4GB4eHigT58+WL58+Q2v+yeffIL+/fvDw8MDnTt3RnR0NC5duoQXX3wR7733Hj777DMoFAooFArs3LkTAHDq1Cn88Y9/hFarhbe3N8aMGYOTJ09KfdYegnvppZfg4+MDtVqNGTNmoKqq6obHSUT1MQAR0U1777334Orqin379mH58uX497//jdWrV0vz//WvfyE8PByHDh3CzJkz8eSTTyI/Px8AMHXqVKxfvx6VlZVS/ffffx9du3bFyJEjceDAAcyePRsvv/wy8vPzkZqairvvvrvBsfz5z3/GBx98gOTkZOTl5eH//u//4OXlBQAwm83o1q0bNmzYgCNHjmDhwoX461//io8//rjJ63zmzBlMnDgRU6ZMQV5eHnbu3ImxY8dCCIG//OUv+OMf/4hRo0bhzJkzOHPmDIYOHQqTyYSYmBh06tQJ33zzDfbs2QMvLy+MGjXKKuCkp6dLfX7wwQfYtGkTXnrppSaPkYga0azPlici2Rk+fLgIDQ0VZrNZKnv22WdFaGioEEKI7t27i0cffVSaZzabha+vr1i1apUQQogrV66IW265RXz00UdSnQEDBogXX3xRCCHExo0bhVqtFkajscHlz5kzRwghRH5+vgAg0tLS7B5/QkKCiI2NlT5PmjRJjBkz5rrtsrOzBQBx8uRJm/Nt9fPf//5X9OnTx2pbVVZWCg8PD7Fjxw6pnbe3t7h06ZJUZ9WqVcLLy0vU1NTYvV5E1DjuASKimzZkyBAoFArps16vx/Hjx1FTUwMAGDBggDRPoVBAp9OhpKQEANChQwc89thjeOeddwAABw8exOHDhzF58mQAwL333ovu3bujZ8+eeOyxx7Bu3TpcvnzZ5jhycnLg4uKC4cOHNzjWN998E2FhYfDx8YGXlxfeeustFBYWNnmdBw4ciKioKPTv3x9/+MMf8Pbbb+P8+fONtvn+++9x4sQJdOrUCV5eXvDy8oK3tzcqKirw008/WfXt6ekpfdbr9bh48SJOnTrV5HESkW0MQETkcNdepaVQKGA2m6XPU6dORVpaGn755Re8++67GDlyJLp37w4A6NSpEw4ePIgPPvgA/v7+WLhwIQYOHIiysrJ6y/Hw8Gh0HB9++CH+8pe/ID4+Hl9++SVycnLw+OOP39D5NS4uLkhLS8MXX3yBvn374o033kCfPn1QUFDQYJuLFy8iLCwMOTk5VtOxY8fwpz/9qcljIKIbxwBERDctKyvL6vPevXvRu3dvuLi42NW+f//+CA8Px9tvv43169djypQpVvNdXV0RHR2N1157DT/88ANOnjyJjIwMm/2YzWbs2rXL5nL27NmDoUOHYubMmbj99tvRq1cvqz0vTaVQKDBs2DC89NJLOHToENzd3fHpp58CANzd3aU9YLXuuOMOHD9+HL6+vujVq5fVpNFopHrff/89rly5In3eu3cvvLy8EBgYeMNjJSJrDEBEdNMKCwuRlJSE/Px8fPDBB3jjjTcwZ86cJvUxdepUvPrqqxBC4JFHHpHKt27diuTkZOTk5ODnn3/G2rVrYTab0adPn3p99OjRA5MmTcKUKVOwefNmFBQUYOfOndJJzr1798aBAwewY8cOHDt2DC+88AL2799/Q+uclZWFV155BQcOHEBhYSE2bdqEs2fPIjQ0VBrLDz/8gPz8fPz6668wmUyIi4tDly5dMGbMGHzzzTfS+GbPno1ffvlF6ruqqgrx8fE4cuQItm/fjkWLFiExMRFKJX9lEzUX/jQR0U3785//jCtXriAiIgIJCQmYM2cOpk+f3qQ+Jk6cCFdXV0ycOBEdOnSQyrVaLTZt2oSRI0ciNDQUKSkp+OCDD9CvXz+b/axatQrjxo3DzJkzERISgmnTpuHSpUsAgCeeeAJjx47F+PHjERkZiXPnzmHmzJk3tM5qtRq7d+/G6NGj8bvf/Q7PP/88/vWvf+H+++8HAEybNg19+vRBeHg4fHx8sGfPHnh6emL37t0ICgrC2LFjERoaivj4eFRUVECtVkt9R0VFoXfv3rj77rsxfvx4PPTQQ3jxxRdvaJxEZJtCiKtu1kFE1ET33HMPBg0adNOPuzh58iRuvfVW7N+/H3fccUfzDK4N4h2kiVoG7wRNRE5lMplw7tw5PP/88xgyZIisww8RtRweAiMip9qzZw/8/f2xf/9+pKSkOHs4ksLCQulSdVvTjVw6T0StBw+BERHZUF1dbfWIimv16NEDrq7ciU7UVjEAERERkezwEBgRERHJDgMQERERyQ4DEBEREckOAxARERHJDgMQERERyQ4DEBEREckOAxARERHJDgMQERERyc7/A0Yv9l8ocA5+AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {}
    }
   ],
   "id": "2c796b8d"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "flow360",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}