{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Turbulent Pipe Flow (Reynolds 180)\n",
    "\n",
    "The simulation of a periodic turbulent pipe flow is used for the validation of the immersed boundary method effectiveness to delineate a curved boundary in a turbulent flow. \n",
    "As for the turbulent channel case, the external force density term represents the pressure gradient $F_{x}=-\\mathrm{d}p/\\mathrm{d}x$, the regularized no-slip BC is employed at $y=0$ and $y=H$, and periodicity is considered in the remaining boundaries. \n",
    "\n",
    "> **_Note:_**\n",
    "    A precursor turbulent flow is used to start the simulation and assure a turbulent flow. \n",
    "    This field can be generated through a precursor poiseuille flow simulation with an Lagrangian body  placed to generate perturbations and removed after turbulence is generated."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-29T17:45:47.794490Z",
     "iopub.status.busy": "2026-06-29T17:45:47.794405Z",
     "iopub.status.idle": "2026-06-29T17:45:48.276178Z",
     "shell.execute_reply": "2026-06-29T17:45:48.275775Z"
    }
   },
   "outputs": [],
   "source": [
    "from nassu.cfg.model import ConfigScheme\n",
    "\n",
    "filename = \"validation/turbulence/03_turbulent_pipe_flow/03_turbulent_pipe_flow.nassu.yaml\"\n",
    "\n",
    "sim_cfgs = ConfigScheme.sim_cfgs_from_file_dct(filename)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "An extra spacing of 2 lattices at each side of the cylinder is kept to assure a complete interpolation-spread procedure."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-29T17:45:48.277446Z",
     "iopub.status.busy": "2026-06-29T17:45:48.277296Z",
     "iopub.status.idle": "2026-06-29T17:45:48.279159Z",
     "shell.execute_reply": "2026-06-29T17:45:48.278799Z"
    }
   },
   "outputs": [],
   "source": [
    "sim_cfg = next(iter(sim_cfgs.values()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Functions used for processing of turbulent pipe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-29T17:45:48.279956Z",
     "iopub.status.busy": "2026-06-29T17:45:48.279865Z",
     "iopub.status.idle": "2026-06-29T17:45:49.233360Z",
     "shell.execute_reply": "2026-06-29T17:45:49.232955Z"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "import nassu.viz as common\n",
    "\n",
    "common.use_style()\n",
    "\n",
    "# One cached wall-normal (y) centre-line probe of the statistics export, reused\n",
    "# for every macroscopic instead of rebuilding the line and re-probing per call.\n",
    "_ds = sim_cfg.domain.domain_size\n",
    "_line_probe = common.LineProbe.from_export(\n",
    "    sim_cfg.output.exports[\"default_stats\"].volumes[\"default_stats\"].stats,\n",
    "    sim_cfg.n_steps + 1,\n",
    "    (_ds.x // 2, 0, _ds.z // 2),\n",
    "    (_ds.x // 2, _ds.y - 1, _ds.z // 2),\n",
    "    _ds.y,\n",
    ")\n",
    "# Sum 0.5 because data is cell centered in vtm\n",
    "_norm_pos = (_line_probe.sample_points[:, 1] + 0.5) / (_ds.y + 1)\n",
    "\n",
    "\n",
    "def get_macr_compressed(\n",
    "    sim_cfg, macr_name: str, is_2nd_order: bool\n",
    ") -> tuple[np.ndarray, np.ndarray]:\n",
    "    name = macr_name if not is_2nd_order else f\"{macr_name}_2nd\"\n",
    "    return _norm_pos, _line_probe.sample(name)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Results"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load values for comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-29T17:45:49.234470Z",
     "iopub.status.busy": "2026-06-29T17:45:49.234307Z",
     "iopub.status.idle": "2026-06-29T17:45:49.239942Z",
     "shell.execute_reply": "2026-06-29T17:45:49.239703Z"
    }
   },
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "comparison_folder = \"validation/turbulence/03_turbulent_pipe_flow/reference\"\n",
    "files = [\"ux_avg\", \"uang_rms\", \"ur_rms\", \"ux_rms\"]\n",
    "get_filename_csv = lambda f: os.path.join(comparison_folder, \"Re_tau_180_\" + f + \".csv\")\n",
    "\n",
    "\n",
    "df_cp = {f: pd.read_csv(get_filename_csv(f), delimiter=\",\") for f in files}"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Friction velocity and y+ to use"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-29T17:45:49.240704Z",
     "iopub.status.busy": "2026-06-29T17:45:49.240638Z",
     "iopub.status.idle": "2026-06-29T17:45:49.242159Z",
     "shell.execute_reply": "2026-06-29T17:45:49.241885Z"
    }
   },
   "outputs": [],
   "source": [
    "# TODO(#750): verify/migrate this normalization. 0.003401361 is exactly the\n",
    "# force-implied friction velocity u* = sqrt(F * R / 2) (F = 3.21368e-7, R = 72),\n",
    "# but it is scaled here by a hand-tuned 0.925 factor with no documented basis.\n",
    "# Re-run on GPU and decide whether the 0.925 correction is warranted; if not,\n",
    "# use common.friction_velocity(sim_cfg, geometry=\"pipe\", length=72) directly.\n",
    "yp = 2.5\n",
    "u_fric = 0.003401361 * 0.925"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load simulation velocity fields"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-29T17:45:49.242795Z",
     "iopub.status.busy": "2026-06-29T17:45:49.242729Z",
     "iopub.status.idle": "2026-06-29T17:45:49.245950Z",
     "shell.execute_reply": "2026-06-29T17:45:49.245686Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((152,), (152,))"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pos, ux_avg = get_macr_compressed(sim_cfg, \"ux\", is_2nd_order=False)\n",
    "pos, ux_2nd = get_macr_compressed(sim_cfg, \"ux\", is_2nd_order=True)\n",
    "ux_rms = (ux_2nd - ux_avg**2) ** 0.5\n",
    "\n",
    "pos, uy_avg = get_macr_compressed(sim_cfg, \"uy\", is_2nd_order=False)\n",
    "pos, uy_2nd = get_macr_compressed(sim_cfg, \"uy\", is_2nd_order=True)\n",
    "uy_rms = (uy_2nd - uy_avg**2) ** 0.5\n",
    "\n",
    "pos, uz_avg = get_macr_compressed(sim_cfg, \"uz\", is_2nd_order=False)\n",
    "pos, uz_2nd = get_macr_compressed(sim_cfg, \"uz\", is_2nd_order=True)\n",
    "uz_rms = (uz_2nd - uz_avg**2) ** 0.5\n",
    "\n",
    "ux_avg.shape, ux_rms.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-29T17:45:49.261663Z",
     "iopub.status.busy": "2026-06-29T17:45:49.261566Z",
     "iopub.status.idle": "2026-06-29T17:45:49.263243Z",
     "shell.execute_reply": "2026-06-29T17:45:49.262944Z"
    }
   },
   "outputs": [],
   "source": [
    "wall_pos = 5  # From 4 to 148\n",
    "mid_pos = ux_avg.shape[0] // 2\n",
    "\n",
    "ux_vals = ux_avg[wall_pos:mid_pos] / u_fric\n",
    "x_vals = np.arange(len(ux_vals)) * yp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-29T17:45:49.263842Z",
     "iopub.status.busy": "2026-06-29T17:45:49.263769Z",
     "iopub.status.idle": "2026-06-29T17:45:49.503648Z",
     "shell.execute_reply": "2026-06-29T17:45:49.503289Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig, ax = common.fig_single()\n",
    "\n",
    "ax.plot(\n",
    "    df_cp[\"ux_avg\"][\"y+\"],\n",
    "    df_cp[\"ux_avg\"][\"u/u*\"],\n",
    "    **common.markers.exp(shape=\"o\"),\n",
    "    label=\"Experimental\",\n",
    ")\n",
    "ax.plot(x_vals, ux_vals, **common.markers.sim_line(linestyle=\"--\", linewidth=2.5), label=\"AeroSim\")\n",
    "\n",
    "ax.set_xscale(\"symlog\")\n",
    "ax.set_xlim((1, 170))\n",
    "\n",
    "ax.set_ylabel(\"$u/u*$\")\n",
    "ax.set_xlabel(\"$y^+$\")\n",
    "ax.legend()\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show(fig)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The average flow velocity shown below presents an excellent agreement with experimental results. Below, the root mean squared velocity $u_{\\alpha,\\mathrm{rms}}$ is also presented against experimental data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-29T17:45:49.504468Z",
     "iopub.status.busy": "2026-06-29T17:45:49.504377Z",
     "iopub.status.idle": "2026-06-29T17:45:49.582752Z",
     "shell.execute_reply": "2026-06-29T17:45:49.582445Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig, ax = common.fig_single()\n",
    "\n",
    "get_prof_plot = lambda arr: arr[wall_pos:mid_pos] / u_fric\n",
    "\n",
    "c_ux, c_ur, c_uang = common.colors.sim, common.colors.blue, common.colors.green\n",
    "\n",
    "ax.plot(\n",
    "    df_cp[\"ux_rms\"][\"y+\"],\n",
    "    df_cp[\"ux_rms\"][\"u/u*\"],\n",
    "    marker=\"o\",\n",
    "    fillstyle=\"none\",\n",
    "    linestyle=\"none\",\n",
    "    color=c_ux,\n",
    "    markeredgewidth=1.7,\n",
    "    label=r\"Exp. $u_x$\",\n",
    ")\n",
    "ax.plot(\n",
    "    df_cp[\"ur_rms\"][\"y+\"],\n",
    "    df_cp[\"ur_rms\"][\"u/u*\"],\n",
    "    marker=\"s\",\n",
    "    fillstyle=\"none\",\n",
    "    linestyle=\"none\",\n",
    "    color=c_ur,\n",
    "    markeredgewidth=1.7,\n",
    "    label=r\"Exp. $u_r$\",\n",
    ")\n",
    "ax.plot(\n",
    "    df_cp[\"uang_rms\"][\"y+\"],\n",
    "    df_cp[\"uang_rms\"][\"u/u*\"],\n",
    "    marker=\"D\",\n",
    "    fillstyle=\"none\",\n",
    "    linestyle=\"none\",\n",
    "    color=c_uang,\n",
    "    markeredgewidth=1.7,\n",
    "    label=r\"Exp. $u_{\\theta}$\",\n",
    ")\n",
    "ax.plot(\n",
    "    x_vals,\n",
    "    get_prof_plot(ux_rms),\n",
    "    linestyle=\"--\",\n",
    "    linewidth=1.5,\n",
    "    color=c_ux,\n",
    "    label=r\"AeroSim $u_x$\",\n",
    ")\n",
    "ax.plot(\n",
    "    x_vals,\n",
    "    get_prof_plot(uy_rms),\n",
    "    linestyle=\"--\",\n",
    "    linewidth=1.5,\n",
    "    color=c_ur,\n",
    "    label=r\"AeroSim $u_r$\",\n",
    ")\n",
    "ax.plot(\n",
    "    x_vals,\n",
    "    get_prof_plot(uz_rms),\n",
    "    linestyle=\"--\",\n",
    "    linewidth=1.5,\n",
    "    color=c_uang,\n",
    "    label=r\"AeroSim $u_{\\theta}$\",\n",
    ")\n",
    "\n",
    "ax.legend()\n",
    "ax.set_xlim((1, 170))\n",
    "ax.set_xlabel(\"$y^+$\")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show(fig)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Also, an excellement agreeement is obtained for all directions in cylindrical coordinates. In general the results confirm the solver capability of solving a pipe flow turbulence, confirming the IBM as adequate to represent a curved boundary and the D3Q27 velocity set as capable of axissymetric turbulence."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Flow field\n",
    "\n",
    "Instantaneous velocity magnitude on the pipe planes (`plane_series`): the longitudinal plane through the pipe axis and the cross-section at mid-length."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-29T17:45:49.583634Z",
     "iopub.status.busy": "2026-06-29T17:45:49.583558Z",
     "iopub.status.idle": "2026-06-29T17:45:49.813611Z",
     "shell.execute_reply": "2026-06-29T17:45:49.813265Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_595898/3141045901.py:31: UserWarning: Using static image for notebook display.\n",
      "Install trame for interactive backends: pip install \"pyvista[jupyter]\"\n",
      "  plotter.show()\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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Pqr/hcfgL/oPf+Sc//wARR/wuPwF/0Hv/ACTn/wDiK+VNjf3TS7D/AHTR9XiHsIdz6fv/AIm/DDVBENQvrW78pt0f2jTZZNh9RmM4NTj4tfDtbprkavGLhkEbSixm3lQSQpPl5wCSce59a+Wdjf3TRsP92j6vEPYQ7n05B8SPhba6hJf291ZRXsmd9xHpkqyNnrlhHk1mWPjL4WwwyLf6lZajKb24u45bjSZWMfmytJtGUPTfjPfGeK+dth/umjZ7Gj6vEPYQPqr/AIXF4CH/ADHf/JOf/wCIqOb4tfDu4aJptXjkMT+ZGXsZjsbBG4Zj4OCRn3NfLOw+ho2H+6aPq8Q9hA+nJfiT8LZtRTUZbuykvkxtuX0yUyrjphvLyKL34k/C3Up4p7+7srqaL/VyT6ZK7J9CY+K+Y9jf3aNjf3aPq8Q9hDufT2ofEz4YasiJqV7aXiIcotzpssgU+o3RnFLdfE74ZX1ktleX9rcWi4Agm06V0GOB8pjxXzBsb+7RsP8Ado+rxD2ED6g/4Wf8M/7O/s7+0Lb7Dt2/Zv7Ol8vGc42+XjFLY/FL4a6XbC20/Ure0gByIrfT5o1B9cCMCvl7YfQ0bPY0fV4h7CB9Vf8AC4/AX/Qe/wDJOf8A+Io/4XH4C/6D3/knP/8AEV8q7D/dNGw+ho+rxD2ED6q/4XH4C/6D3/knP/8AEUf8Lj8Bf9B7/wAk5/8A4ivlXYf7po2H0NH1eIewh3Pqr/hcfgL/AKD3/knP/wDEUf8AC4/AX/Qe/wDJOf8A+Ir5V2exo2+xo+rxD2ED6q/4XH4C/wCg9/5Jz/8AxFH/AAuPwF/0Hv8AyTn/APiK+VNvsaXb7Gj6vEPYQPqr/hcfgL/oPf8AknP/APEUf8Lj8Bf9B7/yTn/+Ir5V2H+6aTY3900fV4h7CHc+q/8AhcfgL/oPf+Sc/wD8RR/wuPwF/wBB7/yTn/8AiK+VNjf3TRsb+6aPq8Q9hDufVf8AwuPwF/0Hv/JOf/4ij/hcfgL/AKD3/knP/wDEV8qbG/umjY3900fV4h7CHc+q/wDhcfgL/oPf+Sc//wARR/wuPwF/0Hv/ACTn/wDiK+Vdjf3TRsb+4aPq8Q9hDufVX/C4/AX/AEHv/JOf/wCIo/4XH4C/6D3/AJJz/wDxFfKuxv7lL5bf3aPq8Q9hDufVP/C4/AX/AEHv/JOf/wCIo/4XH4C/6D3/AJJz/wDxFfK+xv7po8tv7pp/Voi9jDufVH/C4/AX/Qe/8k5//iKP+Fx+Av8AoPf+Sc//AMRXyv5bf3TR5Z/uGj6tEPYw7n1R/wALj8Bf9B7/AMk5/wD4ij/hcfgL/oPf+Sc//wARXyv5bf3TR5bf3TR9XiHsYdz6o/4XH4C/6D3/AJJz/wDxFH/C4/AX/Qe/8k5//iK+V/Lb+4aPLb+6aPq8Q9jDufVH/C4/AX/Qe/8AJOf/AOIo/wCFx+Av+g9/5Jz/APxFfK/lt/dNHlt/dNL6vEPYw7n1R/wuPwF/0Hv/ACTn/wDiKP8AhcfgL/oPf+Sc/wD8RXyv5bf3TSeWf7pp/Voh7CHc+qf+Fx+Av+g9/wCSc/8A8RR/wuPwF/0Hv/JOf/4ivlbYf7po2H+7R9WiP2ED6p/4XH4C/wCg9/5Jz/8AxFH/AAuPwF/0Hv8AyTn/APiK+Vtjf3TRsb+6aX1eIewgfVP/AAuPwF/0Hv8AyTn/APiKP+Fx+Av+g9/5Jz//ABFfK2w/3aNh/umn9WiHsIH1T/wuPwF/0Hv/ACTn/wDiKP8AhcfgL/oPf+Sc/wD8RXyvsb+6aNjf3TS+rxD2EO59Uf8AC4/AX/Qe/wDJOf8A+Io/4XH4C/6D3/knP/8AEV8r+W3900eW/wDdNP6tEXsYdz6o/wCFx+Av+g9/5Jz/APxFH/C4/AX/AEHv/JOf/wCIr5X8t/7ho8p/7lH1aIexh3Pqj/hcfgL/AKD3/knP/wDEUf8AC4/AX/Qe/wDJOf8A+Ir5X8l/7lL5L/3DR9WiHsYdz6n/AOFx+Av+g9/5Jz//ABFH/C4/AX/Qe/8AJOf/AOIr5X8mT+5R5Un9w0fVoh7GHc+qP+Fx+Av+g9/5Jz//ABFH/C4/AX/Qe/8AJOf/AOIr5X8qT+4aXyn/ALho+rRD2MO59T/8Lj8Bf9B7/wAk5/8A4ij/AIXH4C/6D3/knP8A/EV8seU39w0nlP8A3DR9WiHsYdz6o/4XH4C/6D3/AJJz/wDxFH/C4/AX/Qe/8k5//iK+V/Kk/uGl8p/7hpfVoh7GHc+p/wDhcfgL/oPf+Sc//wARR/wuPwF/0Hv/ACTn/wDiK+WPKf8AuGk8qT+4af1aIexh3Pqj/hcfgL/oPf8AknP/APEUf8Lj8Bf9B7/yTn/+Ir5X8p/7hpfKf+4aPq0Q9jDufU//AAuPwF/0Hv8AyTn/APiKP+Fx+Av+g9/5Jz//ABFfLHlP/cNJ5Tf3DR9WiHsYdz6o/wCFx+Av+g9/5Jz/APxFH/C4/AX/AEHv/JOf/wCIr5X8pv7ho8pv7ppfV4h7GHc+qP8AhcfgL/oPf+Sc/wD8RR/wuPwF/wBB7/yTn/8AiK+V/Kb+7R5bf3TT+rRD2MO59Uf8Lj8Bf9B7/wAk5/8A4ij/AIXH4C/6D3/knP8A/EV8reWf7po8s/3TS+rxH7CHc+qf+Fx+Av8AoPf+Sc//AMRR/wALj8Bf9B7/AMk5/wD4ivlbyz/dNHlt/dNP6tEPYQ7n1T/wuPwF/wBB7/yTn/8AiKP+Fx+Av+g9/wCSc/8A8RXyt5b/ANw0eW/9w0vq8Q9hDufVP/C4/AX/AEHv/JOf/wCIo/4XH4C/6D3/AJJz/wDxFfKvlv8A3DS7G/u0fV4h7CHc+qf+Fx+Av+g9/wCSc/8A8RR/wuPwF/0Hv/JOf/4ivlbYf7ppNnsaPq8Q9hA+qv8AhcfgL/oPf+Sc/wD8RR/wuPwF/wBB7/yTn/8AiK+VdnsaNnsaPq8Q9hA+qv8AhcfgL/oPf+Sc/wD8RR/wuPwF/wBB7/yTn/8AiK+Vdh/u0uw/3aPq8Q9hA+qf+Fx+Av8AoPf+Sc//AMRR/wALj8Bf9B7/AMk5/wD4ivlbY392jy2/u0fV4h7CHc+uNG+JXhHxBqsGl6Xq3n3k+7y4/s0q7tqljyygdAe9UPjHz8Kdaz/0w/8AR8deH/B5GHxU0UlcD9/z/wBsJK9w+Mf/ACSrWv8Ath/6PjrKUFCokjJwUaiSPlAIoBAUAHqMUpAIwQCPSlorssdlhNi7du0Y9MU4RoQAUXA6DHSgDJqRRRZCdh2Pl5phjULtVQB6AVIeFojG6nYnzLFrCqgbVC/QVpQWsSv5giQOf4goz+dQW0fArTiSh2SPLxdW2g5LeM5zGp3EE5HUjof0FWDZwSuryQRu69GZASKdGlWUWuWpI8GrVbegJEocybRvIALY5IHb9TUqRIm4qqruOWwMZPrTlWngVySkYaiYoxTsUuKjmCxX+ywef5/kx+djHmbRux9etKIIwjII1CsSWXbwSeufrU+2jbRzDuyhLp0LWFxawRxwLNGyEogGMjGcDrUiWVvHIJRBEJcYMgQbj+NWsUbafMPmla1yLbTfKTzDJtG8jbuxzj0zU+2kxRzEFWK0ggdnigijZvvFEAJ+tItrAs5mWCISnq4Qbj+NWttG2q5h3fcqtawNMJmgiMo6OUG4fjRLaQTurywRSMv3S6AkfSrW2jbRzBd9yvLawXAAnhjlA5AdQ2PzqZVCqAAAAMADtTwtOCVLkGuw0CpFWnKlSKlYymUoiKtSqtKq1Iq1zTqG0YiKtSAUAU4VzSlc1SACnUlFZli0UmaM0WC4GmmlpKaEFFFFUAlGKWii4rDdtJtp9FPmYuUj2UmypcUYp84cpDso2VNijFP2guQh2UbKm20baPaByEOyjZU22l20e0DkIQlOCVJtpdtS6hSgRhacFp+KXFQ5lKIzbS7afijFTzD5Rm2mkVJTTTTE0MNMNPNMNaxM2MNNpxptbRM2NNNpxpprVEiGkpxppqiRDTSKeabVpksjIppFSEU0itEySMikxT8UmKu4hmKXFOxRincBMUuKXFLipuMTFKBSgU4LUuQWACnAUoFOArNyKSEApSKcBS4rO5diBlqF0q2VqNlrWE7EOJRZKjK1bZKiZK64zI2IMUYqQrSYrTmHcZtprLU2KCtCkNSsUnSqzrWi6VWkSt4TOqjVM+QVVkFX5EqpItdCZ7FCaZmzL1qkzAPtzzjOK0pVrKuiIrhHbO0qRnHSpm7K56cZWQ8OrEqDyOtIetQwNvmlIBAOOv0qc9aUXdXNIu6uJRRRVFBRRRQB032NfSj7GvpW2bT2phtsdqwVdM+V+vy7mP8AY19KX7GvpWoYMdqTyvaq9qH16XczfsS+lL9hX0rR8v2pwSj2rE8bPuZv2Bf7tJ/Zy/3a1glSLGDUOu0Q8fV7mL/Zw/u0f2aP7tdAsAPani2U9qzeLsH1+sc3/Zo/u0n9nD+7XT/ZV9KPsi+lL66h/X6xzH9nD+7Sf2eP7tdP9kWk+xr6UfXYj+v1jmPsA/u0n2Af3a6c2QphshVLGRH/AGhVOb+wD0pPsA/u10Zsvammz9qpYqI/7RqHPfYB/dpPsI9K6A2vtTTbe1UsQh/2lMwfsI9KPsQ/u1ufZ/ak8gelP26D+0ZGJ9iH92j7EP7tbfke1L9n9qPbof8AaMjD+wj+7S/Yh/drc+zj0pfsw9KPboX9oyML7Ev92l+xL/drc+yj0pfsntS+sIX9oyML7Ev92l+xL/drb+ye1J9kPpR9YQf2hLuYn2Ff7tH2Bf7tbX2U+lJ9nI7U/bof9oT7mL/Z6/3aP7PX0rZ8g+lHle1P2wf2hPuYv2AelH2EelbXle1HlD0o9sP+0ZmJ9iHpR9jH92tvyR6UhgHpR7ZDWYyMT7GPSj7IPStr7OPSkNuPSn7VFLMWY32QelH2UelbH2f2pPs/tT9qh/2h5mT9lHpSi1X0rU+z+1H2f2o9og+veZmi1X0pRar6Vo+RR5Jo9oS8a+5QFovpS/Y19Kv+Uad5dL2hDxku5QFkv90Uv2JfQVfCUoWp9oyHjJ9yh9hX0pfsK/3a0NtLtpe1ZDxlTuZ32FfQUfYE/uitLbRtpe1YvrlTuZv2BP7oo/s9f7orT20uyj2zD67V7mV/Zyf3RSf2cv8AdrW2UbKPbMPr1XuZB05fSmnTx6VtbBR5Y9KPbspZhV7mIbAf3aabEf3a3PKFIYR6U/blLMahh/Yx/do+yD0raMA9KaYB6U/bItZhIx/sq+lL9lX0rVNv7U02/tVe1Q/rzfUzfsq+lL9mX0rQ8nHajyqPaD+uPuUPsy+lH2VfSr/l0bKPaC+ty7lH7KvpS/ZV9KvbKNtHtGT9an3KP2RfSl+xr6Ve20u2l7Rk/W59yh9jX0o+xL6CtDbRtpe0Yvrc+5Q+xL6Cj7EvoK0NtG2j2jF9bqdzP+xL6UfYl9K0dtKFpe1YvrlTuZ32JfSl+wr6VpBaUKKXtmS8ZU7mZ9gX+7S/2ev92tQKKeEFS67F9dq9zI/s9f7tH9nL/draEYp3lr6VH1lh9cq9zC/s5f7tH9nL/dFbvlD0o8oelH1pj+u1u5g/2av90Uf2av8AdFb3lL6UvlL6UfW2H12t3MH+zV/u0v8AZq/3a3xCvpS+QPSp+uB9crdzn/7NX+7R/Zi/3a6DyB6UeSPSl9cD65X7nP8A9lj+7TTpY/u10flD0pfJX0o+usFjK/c5k6YP7tJ/Zi/3a6fyFPak+zL6U/rpX16v3OY/sxf7tJ/Zo/u10xtV9KabYelUsYh/X6xzX9nD+7R/Z4/u10n2ZfSk+yr6U/raH/aFU5v7AP7tH2Ef3a6M2g9KabMelUsXEf8AaFQv/Cy2EfxH0lsdPO/9EvXq/wAY/wDklWtf9sP/AEfHXn/w6tvL8e6a3p5v/op69A+Mf/JKta/7Yf8Ao+OodRTqJo9PA1nWXM+/+R8pUUUDrXae0OUVKopijmpRQQwbpT7Zcmo+pxVy0SmjObtE0LdOBWjElVoF4FXo16VlUkfOYupdkyLVhRUaCplrimzzG7seBTwKaKetc0mCFC0u2lFPArJyLSGbaNtShaXbU84+Uh20myp9tG2j2gcpBto2VNtpdlHtA5Svso2VY2UbKPahyFfZS7KsbPalCUnVHyEASnhKmCU4JUOqUoEQSnhKkC0uKxlUNFAQLTgKMUtZOVy0goooqRhmjNJRTsAZopM0U7CuLRSUUWC4tFJRRYLi0UlLQAUtJRSYx1FJSipY0LilooqRhRilpaLlWG4pcUuKXFK4WG4oxTqKVx2ExS4oopXHYKKXFJSuFhpppp5phrSJEiM0w081G1dEDGQw0hoNNJreKMmwJptFITWiRLYUlFFUSFNNOpMU0DGmmkU/FGKpMRHijFPxRtp8wrDMUYp+2l20cwWGAU4LTgtOC1LkNIaFpQtPC04LUORSiMC04LTsUuKzci0huKWlxRilcdhMUxhT6QimmJogZaiZaskVGy1vGZk0VilN21YK0wrW6mTYiwaNtSbaTFVzCImXNV5Eq4RUTrWkJjTszOlSqUqVqyJS6bpE+tapDp9u0aSzbtrSEhRhS3OAewrq9tGEHObslqz0sLUbaSOcmSsu7LKUReCxxk9q9Vk+E2uN0u9N/wC/j/8AxFefeKNGuPD+tNY3TRvJbsPMaIkrhkBGMgHuO1Y0cywuJbhQqKT307HvwU4r3lYwgWSYIzbgRkHFLIWLqinGRknFNLLJOpQ5VQckdKUuBIkv8DLjPpXTfQ3voMLugcH5iq7gcUK5VwC4cFSenSmuS5d0yVwBkd+ecUAIXUQ46Hdjpj3qbu+gru47MnlebuHTdtxxipgcgGq/mD7P5fO/bt2981OBhQKqLLiz1IgUwgUhemb68qMWfCtilAaY0Yp+6kJrRNoRCUpNlSHrQBmr5mA0JUqrSqtSqtZymAqLUwFNUVIK5ZyNYoMUYp1NJrMoQ0lFGKYBRS4oxTuIaaSnYoxTuKwwgGmFBUu2jbVKVhWK5j9qTyvarOyl2VXtRcpWEQ9KeIhUuMUlHO2HKM8kUnlVLmlqeeQ+VEGzFGMVORTCtNTuJxI8U4AUYpQKbYg2j0o8selOFPFS5NFJEXkj0ppgX0qzijAqfatD5UVDbimm3FXCtNPFWqshOKKZt8dqjMRFX9wqNwK0jWl1JcSkVppFWWAqJlreMrkkdHFBWmmtFqMeNtLtWos0u40coWJdoo8sUwPSh6mzEO8sUeWPSjfS7qXvAN2D0o8selOzRmi7Ab5Yo8un5pc0uZgR7KNlS0oFDkwIwlLsqULTgtQ5hYh2UbKn2Um2lzjsQbKTb7VPtpNtPnFYhx7UYqbZRso5wsQ4pdtS7KUJRzhYh2ZpfLqcJTglS6g7FUwg0xoKvbaQqKFWY7Gc0eO1MK1oMgNQPFit41bhdoq4pMVMUo21rzD5iICnBakC04AVLkJyIttG2rAQGl8qo9oK7K22l21OYqQx+1P2iC5Dil4pzLiomOKpagtR+aUEVDuo30+UrlZODTgagD04PUuBLiyyGp4NVQ9PV6ylARZBoJqIPRvrPkHcfmjdUZak3VXKK5OGp4eoAacKhxQ7k4enbhVfNLk1m4FcxPkUmajBNPANS42HcdmjNGKMVOgxcijAptANFguLgUYozRmjUNAxSEUuaQmnqB0ngEf8Vvp3/bT/ANFtXafGP/klWtf9sP8A0fHXE+AGz4404f8AXX/0W1dt8Y/+SVa1/wBsP/R8ddeH3XqezlfwfP8AyPlKlWkpVr1T32SLUtRrT80EMahzLitS1Ws2Jcy1sWy8Cmc2KlaJoQjirsYqrCOKtp2rmqM+YxDuyZakBqNTTs1ytHKSg08NUANOD1k4hcshqkBqoHp6yVlKmWpFsGngVXWSpleuacGjWMkSYpdtCmn1g5NGiQzbRtqTFGKnnK5Rm2l207FLik5j5Rm2l20/FGKnnHyjcUYp2KMUuYdhMUYpcUuKVwsJRS4oxQA2inYpMUXCw2inYpMVVxWG0UtJVCaDNJmlpKYhc0UlFAC0UlLSAKWkpaQ0FOFNpRUsY4UtIKWpZQtLSCnVDLCilxRipuVYTFLilopXHYSjFLRSuFgpKWii4WGmmNTzTGrSJEiJqiY1I3Som611wRzSYwmmE05jTDXSkYsCaSloxVEiUU7FKFouOw3FGKftpdtTzD5SPFGKl2+1GPajnHykW2jbUuPajbS5w5SPbShak20baXOHKM204CnbacFqXMpRGBaXbT8Uu2ocilEZilxT8UYqeYdhmKTFPxSYppisMIptSYppFUmJoYRTCKkNNYVrFkNERFMIqU0w1tFmbRGRTTTjTTWqJYlMYU4mmmrQivIta/gsbfGNgf8Arp/6LastxWr4Q48WWR/66f8AoDVOOf8AsVZf3ZfkzrwcrVo+q/M9e314L8SRu8cakf8Arl/6KSvct9eIfEMbvGeoH/rn/wCi1r5ThFWx0/8AA/zifVVKl7HCyDDUypp1wagFfoZstUI1JTj0ptBSCiiigZ6OTSZpSKbivNVj4EXNLSYpQKHYAp6ihVp4FQ2ACng0yis2rjJlapA1QLUgrKSLTJM0UgorOxQtLTc0maLBckoxTAacDSaHcXFG2jdRmlqAbaTFPGKCBU8w7DQaWmNxSZxVWuK9h5GaYVpQ1OzmjVBuM20U80007isJRRRTATFJinUU7hYQCnqKQU4VLY0hRS4pQKdismy0hhFRuKnIpjLVRkKUSk5INRlzVp4s1A0J9K64SizBpkRakzTzC3pSeUw7VsnEmwzGaaUqTaRS01KwFcrim4qyyVCy4rSMrjuR0ZpSKSrGLml3U2iiwWH7qcDUdOFS0IeDTqYKcKhoRIKeKiBxTw1ZtASgU8Cog1PD1i0ykx+KCKaHpd1TZj0EIoxS0U7gAFLtoozU6jDaKMCjNJmnqA6im5ozSsFx1NalBoIoWjAiJpM560rDFM71skQKYwajMeKlBp3Bp8zQWKpWgCrJUUwrVqpcVhinFSBqbtoxUuzAlyKQgGmUoNTyjuNePIqrIhFX1OaRoQ1VCry7h6GYVNNwa0GtvamG3PpXQq0S+dlLmnCrJgPpTDCfSq9omHOiMGnA0eWRShTQ2iW0PBp2aaFqRUJrJtIkaATUioTUqQ5qwsWKwnWSKUWyusdPEdWAmO1LtrndYtQK/l0COrQSnBKh1ilTKwjqQJiptlBFQ6tylCxFikK1JikxRzBYiK0wirG2mlKuNQlxIKM08pTCtaJpkNMQmmM1OIphFaRSJZ0nw+OfHWm/9tf/AEU9d18Y/wDklWtf9sP/AEfHXCfD0f8AFdab/wBtf/RT13fxj/5JVrX/AGw/9Hx100viR7eVfB8/8j5SpVpKVa9M+gZItKxpBSMeaCSzAPnFa9uOBWTb9RWtAelPocOL2NCI1aQ1SjarKNXPNHztaOpZBpc1EGp+a52jlaHZo3U3NJmiwrD99KHqLNJmnypjsWVlqwktZwapFkxWU6SYao1o5M1YVs1lRy+9XIpc159ajY2hMuClxTFbIqQVwyVjpTuFLSUoqGULRRRSAKMUUUDsGKKKXFAWEopcUuKVx2G0U7FGKLhYbikxT8UYouFiMikxUmKTFUpE8pHikqTFIRVKRNhlGKXFGKq4rCUUuKMU7hYSloopBYKcKQCnAVDZSAU4UlOAqGy0gFOAoApcVm2WkFFLilqbl2ExSYp1JSuFhMUUtFAhKKKKYCGomqQ1G1awM5ETVA1TPUJrupo5ZjD1pKU0AVvcyEApwWlAp4FQ5FJDQKcFpwFOC1m5lqIwLS7afilxWbmVyjNtG2n4oxRzByjNtG2n4oxRzByjNtLtp+KMUucfKN20uKdijFS5D5RuKXFOxRip5h2G4oxTsUYo5gsMxSYp+KQiqUhNDCKaakNRmtIshjDTGNOJqNjW8UZtjSajY04moya6IoybEJphNONNNbIkaTTaU00mtEhCNWp4T48U2Z/3/wD0BqySa1PC5x4ltD/v/wDoDVljFfC1V/df5G2HdqkX5o9R314z49G7xdfn/rn/AOi1r17fXkXjj5vFd6f+uf8A6AtfPcMU+XGSf91/mj3/AGl2jirhetUwME1o3C9azyMGvumenTd4hTKfTT1pGqEooooGeoGKmmH2q7s9qNntXz/tz4b2ZR8k+lHlkdqv+WKPKHpR9YD2ZRCH0pwWrnk0eTS9umHs2VdlGyrPle1L5ftS9sh8jK4SnBam2Ubal1Lj5CPFJipMUhFClcLERpKcRSVpcgUUtApalspCUtLS0rjEzijdQRTDQkmJuwpNMJozTTWiRLYoanhqipwptISZJmlpopRWbRaCiloxRcBKKMUUAKKcKaBTxUsaHrTwKYtSiueTNYiYpCtOxRip5irEeylEYNPxS4p87FyjPKX0pDCvpUoFBFSqj7lciKjwD0qs8JWtMrUbRg10U8Q1uYypGWRimMKvSQe1VnjIrthVUjCUWiqy0wirDLUZWumMibkWKKeVpMVdx3EpRRilxSbAUUtFFSIXNGaSlApALupQxpMUYpWQDw9PD1DSg1LigLAang1XBqRWrKUSkyWgigHNOxWWxRGabUpWmFapNCsNzRmgikxVCHg04Go6cDUtDTHFc1EyEVMDTtoapUuUdrlSlBqdofSoTGRWqmmS00G6jNNwaMGqshC5pM0bTShDRoAlLinBDTghpOSCw0CpkNNC04LWUmmUkTKAad5INRrkVKr1zS5lsbKz3GG3HpUTW/tVvdSEg0o1ZobhEpG3HpUZtqvHFNraNaRm6aKggxUyQ1LT1xSnWk0OMEKkQFO2inA0Zrlcm2bJJDCKTFONFO4rABTqKWobKSEpCKdSUkxtDCKTFSYpMVopE2GU4ClxSgUmwSGlAaY0VTgU4Cp9o4lciZRaKozHWkYwaiaKtoYgzlRNbwAmPG+nH/rp/wCi2rtfjH/ySrWv+2H/AKPjrkvAqbfGmn/9tP8A0W1db8Y/+SVa1/2w/wDR8delhZc1n5nq5arR+f8AkfKVKtJSivXPdHUHmigc0CLtv2rRiPSs6Hir0ZpnFiFcvI1WFeqKNUyvUSieRVpXLqvUgeqavUgesnA450izupd1QB6XfUcpk6ZLmkzTN1GaLC5R2aUGmZop2HYnR8VbilrPBqaNsGsakE0ZNWNiKTNWVOazIZKvRvmvIr0rM3pzLApaaDTq4mjoQtLSUtSUgopRRSKExS0UtK4BiiiikMKKKWkMTFLiilpXCw3FGKdRRcdhmKTFPxRiqUiXEjxSYqTFNxVKRLiMxRin4pMVVybDcUYp2KMUXCwmKdigCnAVLZSQgFOAoApwFZuRaQgFOooxWbZaQUUUUhhSUE0mapITYUUmaTNVYm46kzSUU7CuBqJqkNRtWsEZyIXqI1K1RGu2BzSG04CkpatslCgU8UgpRWbLQ4CnUgpwrFstIKXFKBS4qGy7DcUuKdiipuOw3FGKdilxRcLDcUYp2KXFK47DcUYp2KMUrjsJijFOxRilcLDcUYp1FFx2GYpCKkxSEU1ITiQkVEwqwwqJlreEjKSK7dKiap2FQsK7IM5pIjNMIqQik21umZkZFNIqUrTCKtSFYhNMNSsKiatoiGE1p+GTjxFan/f/APQGrLNaPhw48QWp/wB//wBANLEq9Ca8n+RpT0kmej768p8Z8+J7w/7n/oC16dvry7xnLHF4gvJJGCr8nJ/3FrxsihyYmT/uv80enSneRy1wvWs2Xg1otPFPuEbZI6gggj8DWdcsqcscZ6V9a2rXPdoS01G01qI3V1ypzSbgxIBzg4NK6OhNBRTPNjzjd3x7U+hNPYaaex7EUpu2rDLTCK+QjUufIuBGBThRilpt3FYKXFIKcKhlINtJtp1LSux2GbaaVqWkNNSYOKK5WmlamIphFbRmZOJCVpuKnK0wjFbRmZuJFRTiKaa0WpLDNKDUZNG6nyiuSk8VG1IXpu7NNRsJsWiilxVCExSgUtFJsYopRSClFQykOApcUCngVDdikhuKNtSAU7bWfPYrlIcUoFS7aTbRz3DlBRTxSAU4VlJmkUFFLikqLlBSgUlPApNjQoFLilAp2KycjRRGbaaVqbFJtpKYOBAUzUMkGe1XNtJsrWNZx2IlSuZUluRVdoj6VttEDUL24PauynjO5zyw76GOYzTChrVa29qiNv7V1xxMWYum0Z22kxV5reozAfStVWiyOVlWkqyYDR9nNX7SIWZWFOFWRbH0pwt/apdaIcrK4pwFWPIpDCRWftYsfKyHbRsqXYRRinzisRbaXFS7aXbU847DFOKlVqZtoAIqXZjWhMOaXZTFNSA5rF3RotRhjpPLqYYp20VPtGh8iZW8s0bDVrYKXy6PbB7MqhacKnMdJsxS9omHI0NFO8oNSBcVItRJvoWl3IzbA0n2X2qyDTwRWbrzRapxZU+zUv2ereRTSRU+3mx+yiVvJpPKqzSYpqsxezRW8v2o2VZ20hWq9qL2ZX20YNTFaQrVKoTykWSKMmnFaYeKpNMT0AmmlqQmkzWqRDY4Gng1GKeKmSGmSA07NMFLWLRaYuaUU2lFJoaY+lpBS1my0FFFFAxKKKKZIuKcFpBTxUSZaQoWlxSilFYtmiQgpSoNFLU3LsbXgpMeMLA/9dP/AEW1dN8Y/wDklWtf9sP/AEfHXO+C/wDkbbH/ALaf+i2rovjH/wAkq1r/ALYf+j469vLXeOvf/I7cGrfefKVA60UDrXvnsCnpT46YelPi60Cexdi6VbSqsVWkqjjqk6mpAaiWpRSZwzJAaeGqMU4VLOaSRKGpwaoxThUNGMkiQGnZpgpwFSzJpDgaUUgFOAqWZMUVIppgFOFQzORaiar8L1mRmrsLVxV4XREXZmipyKkBqvG1TA15E42Z2Reg8UtIKWsWaIUUtJS0ixaKKKkYUUUUAFFFFIBaWm06kykFLQKWoZSExRilopXCw3FJin0mKpSFYZijFPxSYquYXKNxRinYoxRzC5RMUuKXFLUuRSQgFLRilqWyrBSUUE0gCmk0E00mtFElsUmkzTSaTNaKJm5Ds0mabmjNVYm47NLmm0UrDuKajanmozVx3JkyJqjqRqjrqic8goooqyUOFOFMBpwqGikSCnimLTxWEjWI4UtFLWRokGKMUtLUtlCYpcUUUrjsFFFFABRRSUALRmm5ozTsK47NFNzRmiwXHUUmaM0rDuBFMZakppqouxLVyuy1Cy1bYVGy10wqGEoFUrTdtWClNK10KoZOJAVpjLVgrUTCtYyIaKzCoWFWWFQMK6oMyZAav6Aca7bH/e/9BNUWFXdE41q3P+9/6Ca0q60pLyZUXY7rf715b40+bxagPI3g/iIhXpW+vOfF0H2jXJyHKOjIyOOx2AVwZZT5azfl+qOvCTvUOZuxi/gPco4P6Vn3A/0xfZCR+YrTa2cSmWWXzH27VwuAo+lZ88DYQ+Z+8UYLY6+vFe/Z2PoqD0KUjFJm2/eKgD65pPnhQKxBB7gc5p5hzu3MSxxyOMY9KPLYkF33Y6DGKizudVnuMwPseO2z+lSr90fSo/JO3ZvOz0xzj0zUtVFMqKZ7UaYacaSvjUfLsZijFPxS4p8wrEeKWn7aaRRcLAKXNJiigApKWmmmgYGmkUtBq0QxlManNTCa1iiGNPSomqQ9KjauiJkyNjUZanNURrpijJi7qcpqKnrVtCJxTqYtSAVzyLQYoxTsUYqbjsNpR1oxS0mxjh0qRajBpwOKzki0yVaeBUampAa55o1iO20hWnClrLmZpa5HinAU7FKBScgURuKTFPxRilcdhmKeopQtSBamUyowEAp2KcBTsVzuRuojMUYp+KKnmHYjxRin4oxT5hcozbRtqTFGKOcOUgKCmGKrOKQrVxqtEummU2i9qjMXtV4rTClbxrsxlRRT8kelOEI9KsbKULWjrMhUkQeSPSk8oelWMUhFSqrH7NFfyxSGMVORTSKtVGS4IgMQNRNDVvFJitY1WiHTRRMZFJV0oDUTRelbRrJ7mTptEFIRTyhFNxWqZDQgp4NIBTgKTY0OBp4pgFSqtYzaNIjhTwKFWngVzSkbRiN20FakxRis+YvlISlJtqbFG2q5yeQipRT9tLtockNRZHS4NP20u2p5kPlYwClxT9tGKXMPlGYoxT8UmKLhYZikK1JilxRzBykBWo2SrJWmMtawqWM5QKTLTMVbaPNRNHXXComYSg0RCnA0baNtW2mTYeDS5pgFOArNpFJi08daaBTxWcikOFLSUVkaXDNFFFMQUUUUAKKeDTBRmoaKTJQaUGos04NUOJakS5pM00GlzUcpdzoPBX/I3WP/AG0/9FtXR/GP/klWtf8AbD/0fHXN+Cj/AMVdY/8AbT/0W1dJ8Y/+SVa1/wBsP/R8dezlq935/wCR34Pp6nylSikpRXvnsAelSRdaYelPh60Cexei6VaSqsVW0qjiqkq1IKYtSCpZwzHCngU0VIBUs5pMUCngUKKkC1DZzykIFp4WnBacFrNyOeUxoFOApwFOxUORk5DcUuKdijFTcm4q1aiNVhU8dZVNUIvxHpVlTVOI1aQ15NaOp1U2SilFNFOFcrRuhaUUlFSUmPFFJS1DKCiiigoKKKKBBSikopMaHU6m0oqGikKKWkpRUMtBijFLRilcLCYpMU7FGKLhYbijFOxRRcLCYopaKLgJSUtJTQgNNJoJppNaRRDYE00mgmmk1qkZtgTTc0GkrRIgXNGaSgUWEOpc00UtKwxTTDTjTDTihMjaoz1qVqjNdMTFiUUUVZIU5abT1pSGiRakWmLUgrlmzeIopwpBS1kzRAKWiipKCiilpDEopTSUAFIaDSGqRLEoopKokXNJmkozTsK4uaM03NJmnyiuSZozUeaTNPkDmJM000maM0WsF7iEUwrUlIatMhohYVE4qdqheummzKSK7ioHFWHqFq7YM52QMKs6Rxq0B/3v/QTVdhU+l8anCf8Ae/ka3esGhN6M6zfXDeIjnWrg/wC7/wCgiux31xuv86vOf93/ANBFZ4KHLUb8jTBSvU+RgzVnT1pTd6zp+9ev0PqcMZ7feo7Ur/eopHoDaKKKAPaKXFJThXxLPlkAFOApBThUNlpBimkVJSEVCkU4kRFJipSKaVrVSM3EZimkVJtpNtUpE8pEaKkK0wirUiWiNhURqwRUbLW0JGUokVRsKmK01lreMjNoquKiIqyy0zy66YzSRk0QhakVKlWKp1i9qmdZIcYNkKpUgSpxHTwlckqxtGmV9po2mrQjpfKrP26L9kyoVppFWzFTGi9qqNZCdNlalBp7RkU3bitlJMzs0OU1KpqEdaeDWU0XFkwNOBqIGlzWDiaqRODS1CHqQPWUos0UkPxShaQMKeGFZO5qrDgtLim7qcDWTuaKwtLigU4CspM0SG4op2KQikmNobRS0lWiGhRS4pBTqhstIbikxT8UhFCkJobTSKdTSa0RDE20m2gtTd9aJMhtC4pCKN1LuqtUToMIppFPJppNaRbIaQ3FJinZoq7kWG4o206jFFwsRtGDUTQ1axS4FUqriJ00yl5RpRHV3YDSiL2pvEiVAqrHUix1YEdO2VjLEXNY0bEISl21LtpCKy9pc05LEeKMU/FNqlIVhuKXFLRTuKwYpcUCnCobKSE20baeKXFRzMqxHikxUmKQimpBykeKMU/FJVKRNhuKMU6kp3FYSmladRTTYmkRlaYUzU+KTFaKZDgVjFTDHVzbSbK0VexDpFPy6XbirRjphjq1WTJdJogxThTyhoCmnzonlY2lxTwlOCVm5otQZFilxUuyjbS9oVyMhxRipCtNIqlIlxG0lLikNUiWGaM00mgGq5RXJAadmowacDWbiUmdH4J/5G+x/wC2n/otq6X4x/8AJKta/wC2H/o+OuZ8Ef8AI32P/bT/ANFtXTfGP/klWtf9sP8A0fHXqZd8Pz/yPUwO3zPlKlFJSjpXvHsinpUkNRnpUkNAnsXougq0lVY+gq0lUcNUmWpRUS1KtSzhmyRRUiimKKmUVnJnHUkPUVIBSKKkArJs45yACngUgpw6Vm2YthilxQKWoZIYopaKAAVKlRDrUqVE9gLcRq0hqnGatIa86sjemycUoNMBp1cbR0Jj80tMzS5rNoq46nA0zNLmk0UmPopoNOzUWKuFFFFAwooooAUUtNFOqWikOpaaKWs2Wh1LTaWpKFopM0uaQBRSZooAKSikqkhBTSaUmmmrSIbAmmE0pptaxRm2IaaacabWiM2JRS0mKoQUUUUALRmkozSsAppppaQ1SQmMNRmpDTDW8TNjaKKKsgKkUUwCpVFRJlRQ8CpBTFFPFcsmbxQopaKKg0FoooqRoBS0gpaljCkpTSU0DENNpTSGrRDEJpKDSVaRAUUmaKdhBSGlpDVAxDTc040ytEQxc04Go80oNNxEmSZpCabmgmp5R3GsaiapGNRMa3gjOTImqFqmaomrrgYMhapNP41CI/X+RqNqfZcXsf4/yNdMdUZy2Zv7q5LXDnU5j/u/+giun3Vy+s/8hGX8P5CtaEbSKwH8X5GNN0rOn71ozdDWdP3ruPrMMZ7/AHqXtSP96lpHoDD1opT1pKBntFKDTAacK+KaPlUyQUopgNOzWbRomPopmaXNRylXFopKM0WAXFJijNLmjUBCKYVqTNNNVFsloixSFakIptapmbREVphTNWMZpQlWqtifZ3KhipVh9quiLNSLEBUyxdio4e5USD2qTy8Va2gVGwrH27kzX2KiQ7aXFOIpKrmuTygBTgKbTgallIXAo2g0tFZ3ZVkRtEDULw1bzSEA1pCrKJEqaZQMeKTFXGjBqJo66o1k9zCVJohBpc04pRtq+ZMizG80oJp22l21LkhpMQMakDGmhKeFrKTRpFMcpqVaYq1KorlqNHRBMetPApAKcK5JM6ooQimmn000kxtDKSnGmmtUZsUU8UwU8VMhxCkNLTSaSKY01GTT2NRmuiCOeTGsajJp5ppFdMTCQ3dS7qaRSVpZEXY/dSZpuaM0corjs0ZptKKVhjqXNNpc0rDuOBpwqPNOBqWikyQVKKhU1KprnmjeLHAUuKBS5rBmyGkU0040hqokyGGkpTSVqjJiYopaKq4rBSikpalsYtLSUtSULSUZpKLABpppTSVSEwpDS001SRLEJozSE0ma1SM2x2acKjzSg0nEaZKBmnhKYlTriuWpJo6IRTGbKQx1PigisVWZq6SKpjpPLqyRTcVqqzM3SRCI6dsFSYoodRsFBIj200rUhpjGqjJkySIiKjIqVjUZNdULnPIYaYaeaYa3iYyIzRmhqZmt0jJslBpwqMGng1EkUmdJ4HP/ABV9j/20/wDRbV0/xj/5JVrX/bD/ANHx1y/gf/kcLD/tp/6Lauo+Mf8AySrWv+2H/o+OvQy/b5/5HrYDb5/5HylSikpRXuntAelSw1GelSRUIT2L0dWkqrHVpOlUcNUnWplFRJUyipZ51RkqipVFRqKmWsZHDUY8VIKYKeKyZyyHCl7Ugp1QzMUUUUVIhaKKKQCipEqMVIlRICxHVlDVZKsKa4qqNYE6mnVGDTwa45I6Ex1GaSjNRYq47NKDTc0UrDuPzS5pmaUGoaKTH5pc03NFTYq46lpuaWk0O4tKKSlFSykKKdTacKzZaClpKKkYuaXNJRSGFFJRTsAUhpabVJEsKbSmkrREMaaSlNJWiM2IaSlpMVQhMUUtFAhKSnUlO4hKKKKYCGkNKaQ1SJY000inkU3FaJkNDMUoFOxQBVXCwAVIBSAU8CspyLihwFOFIKcKwbNkFFFFSMUUUCikMKWkpaTGIaKDRQhMaaaacaaa0RDGmkpTSVoiAooopgFFFFADTTDTzTDWkSGNNJmg0lapGdx26gmmZozT5QuKTUbGlJphNaRRDYxqjansajY10QRmyJqW0P8Apifj/KmsaW2P+lJ+P8q6qaIlszW3Vzerc38v4fyFdBurlfEE0i6gIYSFeVgNxGdoC5J/SuiKs7l4CP735FGas+fvUzNNDcrDLJ5qupKsVAIIxxx9ap3buZliRtuQWLYzxXRzaH1WH0RVf71LUWWErIx3YGQcU0SsZgf+WeDj3x3qeZHdzKxKetJUJMnlebuHTdtxxipgcgGhO5Sdz2UGnCoxTwa+Pkj5RMdS5pKKgpMdmjNNpRSsO47NFJmipsVcWnU2nVLGgpDS4pDSTGxKTFLS4q7k2GgU8UmKWpbKSJFanbqjFKKxlFGqkxxNNNLRiktAeowikxT8UlaJkWG4pKeabVJiaAGnUzNKDSaBMdRmiipKCkxmiloATZmk8upBTqXO0HImQ+VS+VUwFOxUusy1SRB5dOCVNijFQ6rKVJEYSnhadilrNzbNFCwAUtFFZNmiQU006kpoGhhppp5pprWLMZIbTxTKcDVSQosUmmE04mmMaIIJMaTTKU0010xRzthTTS5oNWiGRmm080mK1TM2huKMU8LS7aHIFEbilxTttLip5iuUZSU/FIRQmFhlKDS4pMVRI9TUqmolqRaxqI2gyUGlpop1crOhCGkNOpKaExtGKXFGKq5NhMUYp1GKVx2ExRinUYpcw+UbiilpKdxCUGig1QhpooopkiGmmnGmmtIkyGk02lNJWyMWwFPFNFOqWUh4bFOEuKgLVGXqfY8xXteUvrNTxIDWYJcd6kWas54TsXHE9zQ3CkyKqiX3pfNrH2DRr7ZMnLU0vUJlqMy1pGgzOVZE5eo2kqAy0wvmumFAwlWJWem7qi3U4GtuSxlz3HZpDRRTSsDZGaYalIppWtYszaGCng0m2nAUNoEdH4GOfGFh/wBtP/RbV1Xxj/5JVrX/AGw/9Hx1yvgUY8Y2H/bT/wBFtXVfGP8A5JVrX/bD/wBHx134Hb5/5Hr5ft8/8j5SpR1pKK9s9sUmpYahqaKhCexejq3HVSLtVuOqOCsWEqZaiSp1qGeZVZItSrUa1KtYs4pjxTxTBTxWbOaQ4U8U0U8Cs2ZsKKdRUXAbilxS0UXAKkUU0CnqKiTAlSp0qFalWuWZpEmU08GohTwa5ZI2TH5pc03NLms2i7jqKbmjNKwXHUtNzS5pNDuOzS5plLmpaKTH5paYDTgahopMeKWminVDRaY6lFIKUVkzRC0UUVJQUUUUgCiiimAlJS0lUiRDSGlNIatEMaaSlNJWiIYlFLRTEJRS4pKAExRS0UANpKdSYqriEpKdikp3FYTFJinUYqrisNxSgUuKXFDkFhAKeBSAU6s2ykhRS0lFQaC0UUUgFooopDQooopakoSkp1NNNCY0000802tEzNjDSU40lWmSJRRRVCCkopCaaRLYhNMY0pNRk1tGJDYhNNJpCaYTW8YmTY/NJmmFqTdVqJNxxNNJppamk1aiS2KTUbGlJpjGtYokYxotz/pKfj/KmsaID/pC/j/KummtQtoaWa5TxASmpRXBBKRv8+BnAKYzXT7qw9SObyT8P5CurlN8ErVb+Rz0kyXN7G8Tbo4kbcw6ZOOP0NUp5F86O4yfKeMjdjp0IzW1LWfP0NXyux9NQMeTMsjmPkEBc9M+uKCH81F2Ko2kDDfT2qw/36Wp5PM7OQqmQfZ/L537du3vmpgMKBTmpKaVi4qx7Nto21JijFfGcx8tyjKWlxSUBYKKQ0tAhaWm0opFXHCnimin1lI1iBptKaSkgYYooop3AKXFFLUjQU4U2nCpZSFoopagobikp1BFO4rDDTDTyKYRWsTOQ2nCkxS4q2yUhwNLTaM1DRVx1FJmjNTYdxwpwNMzRmk0UmSg04God9LvrN02WponzRmoRJTg9Zumy1NEtFMDUu6ocWWpD6Kbuo3VPKyuZDqSk3Um6mosHIU0w9aUmm1pFGcmJQKKBWhn1FpjU+kIoTsD1IjTTUhFMIraLMmhtFLilq7kWGYpQtOxS4o5x8o0CnYpwFLiocylEZijFSYoxU8xXKR4pNtS7aTbTUxcpCVpNtTFaTbVqZLgRgVItJinqKmUrjirDhTsUgFPrmkzoSG4pKcaQ0Jg0NopaKq5NhKWkpc0MAooozSHcSg0UlWiGFJS0UxDaTFOxRincVhpphqQ0witIsiSIzTaeRSYrZMyaEoJ4oprVSE9BjNUTNSvULNXVTgjnlIdu96cHqAtSb629ncz5i2JKXzap+ZRvJqfYIr2paMtMMhNQA5p1P2aQudskyT3pc1HmnA0coXHg04Go6cKhopMkBpRTBTxWUi0LRilAp4FZuVi0hm2l21IBS7alzK5Dc8DrjxhYf8AbT/0W1dP8Y/+SVa1/wBsP/R8dc34KH/FXWP/AG0/9FtXSfGP/klWtf8AbD/0fHXq5c7x+f8AkelglZfM+UqKKK949kKmiqGpoqEJ7F6KrkdU4quxCqOCsWEqdRUSCplFZyPKqskWpFpiipQKyZxTY4U8U0CnismznbHCnimqKkArKTIAClxTgKXFZ3AZilxT8UYpXAQCnAUoFOAqHIaQ5RUi0wCpBWEmaIeOlOBpopRWLNEPopuaXNZ2KuLmlzTc0ZosFx2aXNMzS5pWHcdmlzTM0oNJxHcfTgaYDThWbRSZIKcKYKeKxkaxHCnCminCsmaIWiiioLFooopDEopaSgQhpKdTTVITENJSmkrREMaaSnGkNWiGJRRRTJCiiigBDRS0lMApMUtFACUYpaMU7isNxRinYoouFhMUuKKWlcYUUUUhoWiilpFBRRS0mAUCilqWUhRRRRUsoKKWkpJgNNNNPNNNaRZDQw000+mmtEZsbQaDSGtESxDTSaUmo2NaRRm2ITUbGnE1GTXRFGUmNJphNKaYa3SM2BNJmikrRIkM0hNBNMJqkhATTCaWmMa0igGsaSE/6Qv4/wAqRjSQn98v410U1qi4ov5rF1E/6W/4fyFa2ayL/wD4+n/D+VdbR04aNpmdLWfP0rQl71nz9KZ9DhzPf79LQ/36KR3iGm049KbQNHtdFMzRmvieU+W5hxptGaaTTSE2LRmm5ozVWJuPpRTBUi1LKQ4U+milzWDNkBppp1JihMGNzRmlIpMVehGouaXNNopWHceDSg0zNOBqXEpMeDTs1GDTs1m0aJjqKbmlzU2AQimEVIaMVSdhNXGYoxUmKaRRzByjCKSnGm1omQ0JmloxRVCCilxRipuMbSZp+KTFNNCaY3NODUmKMU3YSuPDU8NUVOrNxRomyTNLmowaXNZ8pfMPzSZpuaM0cocw7NFIKWlYdwopaKVx2ClxRilFS2UkMIphFTEUwirjMiUSLFJUhWm4rXmMrAKUUYpQKTZSQopaKWs2y0goooqSgpKWimhNCUhFLRVEjcU4CinClKQ4oUClxRS1izUSkNLmmk00JiUUUVZLEoopM1ZFxaKSiiwBRRRQAUUUmaYhaKbuozTsFwNNNLSGqRLGkUmKdTTWiZm0IRTCKkpNtaJ2IauV3XIqs6kVfZeKgdM100qhhUgUTmmc1ZZKjK13RmmczjYixTwKMUtU2Kwop1NozUFDqUGmZpwpNAmSCngUxakFYSZrEcBTqQUtYs0Qop4NR0uahopMkBp26os0u6ocSlI6TwUf+Kusf+2n/otq6P4x/wDJKta/7Yf+j465nwQf+Kvsf+2n/otq6b4x/wDJKta/7Yf+j469bLVaPz/yPTwTul6nylRRRXvHsBUsVRY4qSPrQJ7GhD2q/EKoQdq0YhTZ52IdiwgqdRUaCp1FYyZ4tWQ5RUgFIBTwKybOSUhQKcBSAU8Cs2zJjhUiimAVKorGTEKBSgUoFOArFsdhMUoWnAUuKhyKsNC04CnYpQKhyGkAFOAoApahstC0UUZqBi5ozTc0bqOULjs0Zpm6jdT5QuPzRmmbqXNLlC4/NKDTM0oNJoaZIDTxUQNSLWUkWmPWpBUYp4rnkbRJBSiminVhI2Q6iiioLFooFFIYUUUUgEpDS0VSExtNNPNNNWmQxDTadSGtEyGNopaSqJaCiiigQGkpaSmAUUUUAFFFFABRRRQAtFFFIApaKWkUgpaKKlsdgoxS4pam5VhMUtFFK47BSijFFIYUUUUgEppp1IatCYw0004001qjJjDSGlNNNbRM2MJphNONMNbxRk2MY1GaeaYa3iZMaaYaeabWqIG0hpTTTWiENNNJpWNMJrRIQE0wmlJphNaJAhrGkiP75aRjTUP7wV0U1qjeCLm6sq+Obl/w/lWhms28P79/w/lXVJaHXRjaRQlqhP0q9LVCc0Ht4dFF/v0Uj/epak7xGptKaSgZ7JmlzTaTNfH8p8jcdmkzTSabmqUBOQ/NKKYKeKGrAmPWpBUa1IKwkaxHCjNFIaysaXFzTs1FmjfT5BcxLSUzfRuoUWPmQppCaaWpu6rUSHIfmnA1FmlzQ4gpEwNG6ot1G6p5CucmzS5qIGnA1DhYpSJRzThUQcCl8ysnBs0UkS000zfRupKDQ3JMU0hozSZq0iGGKMUUtMApQKSnCpZSDFIRTs0VKY7DMUmKcTTC1Wrsh2QtGabupN1XysnmH5ozTN1GaOUOYfmlzUeaXNJxGpEgNOBqPNLmocSkyTNLUeaUNUOJakSZozTc0ZqHErmH5pDSZozRYdxDRiloppiaExRRRTEFLSUUWC4tFJmkzSsO46kpN1Jup8ouYdRTd1N3VSiTckzSg1FmlDUOAKZLuo3VHupN1T7MrnJM0maZuo3VXILnH5ozTN1GaFEXMOzSZpuaWnYVxaWkFOpMYUhNBNMY0JXBuwE00tTS1NzW8YGLmP3UuajBpwpuIlIfRSCnYrNmg2mmlNMJrSKIkxacDURak31fI2RzpD2NRMaC2aYxrWELGcpXI2qNhTycmmkV1x0OdkZFNqQimEVsmQ0NzRmkNAFWSKKlUU1VqQDFZykVFDlqQU0Clrmepsh1LTc0uaixVx1FNzS0rDFpaSilYLnReB/+RwsP+2n/AKLauo+Mf/JKta/7Yf8Ao+OuW8D/API42H/bT/0W1dT8Y/8AklWtf9sP/R8dengNvn/kergNvn/kfKVFFFe4e0O7UqcEUg6Uo4NAjRt+1acIrLtu1asFN7HmYvQtxjip1FRRip1Fc0meDVeo4CngUgFPArFs5mwApwFIBTwKhskcoqQCmqKkArGTBDgKcBSAU8Vg2WgAp1IKWoZSFpRTc0ZqRjs0ZpuaTNOwXHbqTdTN1JuqlEXMP3Ubqj3Um6nyiuSbqN1R7qXNPlFcfmlzTAaUGk0NMkBpwNRg09TWbRSZIpp61GOtSCsJI1iSCpBUYp4rnkbRJBTqYKfXPI2iOFFIKWs2WgpaSikMWiiikMKSlpKYCGkp1IapMljSKSnUhFWmQ0NxSU6kxVpk2G0U7FJiquKwlFGKKBWDFJilooEJRilooAMUUUUAFFLilxRcpISnUUoFQ2UkGKWilxUNlJBijFLRU3KsGKTFLRSHYSiiimSFFJmimAUhpabVITENMNONNNaoykMNManGmGt4IykMamGnGmmuiJixhpppxptaohjaaacaaa0RLGmo2NPaoWNbRRLGk00mkJppNbpCFJppNGaaTVpFJDWNMU/vBSsaYD84remveR00lqixurL1CaOF3eRwq8cmtDNYupnOo2oPTeTj3CGuqroj0KcPeIPtMU24RtkjqCCCPwNUbqVYxljjPT3qe6OL+AjqUcH9Ko3BzeL7IcfmKyu7Hq0VoReYjAsGGB1z2oWVHOFPPoRimMge4YHoVBP4Gkc75Mr0jByffHSp5mdPMxxmj3Y3d8e1OqEgfY8dvL/pUq/dH0pxbe5UW+p7HmkzSZpM18qkfIXFpMUZpQaYCgU8U0GnCokUh4p4NRg0FwKxcbmidiXNNLAVA0wFQvce9XChJkyqpFlpBURkqqZs96TzPeuqOHsYurctiSn76oiT3qVZKUqIKoWc0tQB6eHFZODRakSUuaZvFG8VHKyuZD80ZqPeKaZKag2LmRMXApplqAsTSVapITqMseZThJVbNOU0OmhKbLIenhqrqalXpWEopG0ZMlzS0wUtYtGqY6lFNzRmpsO4+jNRl6QyUKm2HOkS7qQvUBkppfNWqJLqkpemF6jzRWqppGTm2O30bqZRV8qJ5mSbqN1R5paTgHMShqUGohTwahxLTJAaXNMzRurNxLUiTNG6ot1Juo9mPnJ91Luqvupd9J0hqoWd1G6q4enB6h0mUqiJ8ijIqHfRvqfZMr2iJt1JuqHfRvpqmxe0RLupN1Rb6TdVKmT7QlLUm6ot1JmrVMlzJd1LuqIGlBocECkSZozTaWpsO4tFJRSHcXNJmg0lOwri5ozSUYp6BqLmjNJilxS0GLTqbTqhlIcKXNNoJqLFXAmo2NKTUZNbQiZzkITTc0E0ma3SMGx2aetRA015doo5G9EPmtqWd4FMadR3rOkuT61AZye9bwwN9WZSxPY02uB61GZs1QEhNOD1usKomTrNlvzM0b6rB6cHo9lYOcn3Uhao91IWpKAcw+ioi1Jvq+QnmJDTDSbqOtUlYTY3FPC0AVIq0SkCQKtSAUoWlxXPKVzVREopcUlIYUUhNJmnYLjs0uaYDTqTQJjxS0wGlzUNFHR+B/8AkcbD/tp/6Laup+Mf/JKta/7Yf+j465TwMf8AisrD/tp/6Laur+Mf/JKta/7Yf+j469LA7L1/yPVy/b5/5HylRRRXtnuDh0oPUUDpSkUEl21PIrXgPSsW2OCK2Lc8Cm9jzsYtDRjqdarxVYWuWZ87V3JRTgKaKkArBnMwApw60lOUVDYDwKkFMFSCsJMaHCnUgpayZaFpc02ipHcXNJmkJpKpIVxSaaTSE0lUkK4uaTNJSVSQhc0ZpKXFMQUtGKKQxRThSAUoqWNDhTxTBTxWbLQ8VIKjFSCueRpEkFSCoxUi1zSNojxThTRThWMjZDhS02lrJmiFooopDClzSUUgFpKKKACiiimAlJTqSqTJG4pKdRiqTE0NoxS4pMU7k2ExRilxRTuFhuKMU6incLDcUYp1FHMKw3FLiloxSuOwmKWlxRilcdgxS0UuKlsaQAUtFFQywooopAFFFIaaAKSg0VSJCiikqhBSUppKaExppjU80xq1iZyGGozT2qM10QMJDDSGlpDW6M2MpDTjSGrRLGGmNUhqNq0iQyJjUDGpnNV3NddNEDSabmkJpM1ukWkKTTSaCaYxqki4xEY1Hn5hQxqPd81bU17yOyjH3kTbqy9RiE0mQxR0IZWHY4q/uqhdN+9auqoro9KENTNaJxIZJZd77dq4XAA+lUZkYhDv/eKMbsda0JmqjIc1g4o9KlHQg8pirfvPnbjdjoKVUdAAWXaOwXH9akHSkJpcq3NeVXIfJO3ZvOz0xzj0zUtFFNJIpJI9ezSUtGK+XPjBKUUUUAOBpd1RlqYzUclx81iUyYqF5veo3eoGYmt6dFGUqjHvKTURc0hpMV1KKRk22Lvo30hFNxV2QiQPTw5qDNKGqXFBctCSniSqoanhqylTLUiyHpd9QBxTwwrJwKUiUHNLimBxS+YKhxZSaH0lM30m7NJRYOQ/NOHWoxUg60SQ0SrUqmoVNSA1yzVzaLJQaN1RF/eml6hU2y+exMXphkqEvTSxrSNEh1CUyU0vUWaM1oqaRDmSb6N1R0ZquQXMS7qXNQ5pdxpcgcxNmiot1LuqeRlcw+lBqPdS7qXKFyTNLmo91JvA70uRj5iXNLmofNA70nnr60eyfYOdE+aM1B56+tHnj1pexkP2iJ6SofPHrR5w9afspBzompc1D5oo81aXs32DnRNk0ZqLzR60eaPWl7N9g50S5ozUfmCjzBR7Nj50SZozUfmCk8wUcjDmRJmjNR+YKTzKfIxc6JgaUNUHmUeYKTpsOdFkNS7qq+cB3ppuVHel7CT6D9qkXd1Gaom7HrTTd0/qs2Ht4mhuA70bx61nfaSe9Hnn1p/VJdRfWEaO8Ubx61niY+tOEx9aTwzH7cv7hShqpCWnrLUSoNFqqWwadVdZKlDVzyg0axmmPppNG6mFqUYjcgJphNBNNJreKMWwNJRRVkgeBVK4c81bY8VRn5NdOHXvamNV6FVmOabk0rDmm16isco4NTg9R04Ck0gJQ1PDVEKcKzkkNEu6gtTRS4rOyKuITSU7bRtp3QrAtSKKQLUirWcpFxQqipVWkVakArlnM2jEAKXFFBIFZXuWIRTGOKRnqMtWsIMiUhSaKZmnA1rYi4op4plOBqGhodRSZozU2KudH4F/5HKw/wC2n/otq6z4x/8AJKta/wC2H/o+OuS8Cf8AI52H/bT/ANFtXW/GP/klWtf9sP8A0fHXoYPp6nrZd8Pz/wAj5Sooor2j3Ry06mLUgoJZLAfnrYtzwKw4jiSti2bgU+hx4qN4mrEatJVOI8VbSuaaPmq61J1qQVGtSVzSOQUU8U0U8VmwHCnimCnispFIcKdTaXNZspC0maM0lKwXCkNLTapCENFFFUISjFLRQAYopcUuKVwExS4pcUuKlsdhMU4CjFOAqWxpCAU8CgCnCobLSFHWpBTAKkUVhJmiQ4U8U0U8VzyNUOFOFNFOrGRsh1LSUVmyx1FJS1JQUUUUAFFFFABRRRQAUlLRQAlJS0UyRKKWincBKKWjFFwsJRS4oxRcLCUU7FGKLhYbRTqKVx2G4pcUtFFwsJiloopXGFFLiikAlFLSUAFJS0hpoTEopaSqQgooop3EJSU4001SExpqNqeajNbRMpDGqM09qYa6YmDG0hpaK0RDGmm08001aEMNRvUhqJ61gZsgkNVmNTyVWc13U0THcaTSZpCaaTW6Ruoik1GzUFqjZqtI2hARmqLd81DNURbmtoLVHdRh7yJt1ULpv3rVZ3VTueZGNdFTY9JRsylK1VDzVibvVYVzs7ILQXtTacelNoLCiiigZ69mjNRb6N4r5nkZ8VzEmaQmmbxSbxTUGLmHmo2oL00tVxiyWxjVGRUpIpuBW0XYzZHijFSYFGBVcwrEeKaRUuBRgU1ILEBWkwan2ijaKfOFiDBpRmptlGynzoLEYJpwJp+yl2VLkgsNBNOGaULTgKhtDSACnAUgp2azbLQ4Cnio91LurNpspMl3Ub6h3Ubqn2Y+YkLU0tTM+9GfeqULC5h2aM03Io3D1p2FcdRTPMHrTTMo70+VsLolparNdKO9RNegdKtUZvoLmRdyKaXA71mve+9QteE962jhJPcfvPZGqZgO9N+0KO9Y7XR9aYbk+tbLB9xqnUZsm7Ud6ab4CsUzmmmY+tWsHEtUZ9zYa+96jN6fWsrzDR5hrRYaC6D+rvqzSN2fWk+1H1rN8w0bzV+wiP6saX2o+tH2s+tZu80bzR7CIfVjS+1n1pfth9ay99G80ewj2D6san2w+tKLw+tZe8+tHmGl9Xj2D6sawuz604XZ9ayRKaUTGpeHj2JeHZri6PrThc+9ZAnNOE5qHhkR7GZr/afel+0e9ZH2g0eefWp+qoPZTNf7SPWmm7A71k+cT3o8w+tP6rEPZSNM3vpTDeMe9Z++l31Sw8F0D2bLhuGPejzWPeqgkp3mU/ZLoiXTZbD+9PD1S82l86pdIn2ci+H96cG96z/ONL5xqHQYcsjSDD1qRSPWsoTt609blh3rOWGYao11FPUVlJeEVOl961zTw1QtTS3NNaeGrPW9Wni7U965ZYefVGqqovb6aWqp9pHrR9oHrUrDy7D9qi1upMiq3nik8/3qlQZPtEWtwpDIKqGammWqVBidUstJkVWkOaaZKaTmt4U+UzlK5GwpmKlIJpNldKdjMYBTgKcENKENJyQWEC08LShakArKUikhoFKBUgSniMVk6iRaiQhSaeIzUwVRS5UVk6r6FqHcjWOpAmKN4pDIKhuTKVkSCgnFQmX3phl96SpNjc0iZnqJnqMyUwuK2jSsZudx5OaKZuFG8VrykXH04VHvFLvFJxY7ktFR76XfUOLHckzRmo99LvpcjHzHTeBD/wAVnYf9tP8A0W1dd8Y/+SVa1/2w/wDR8dcd4CbPjXTx/wBdP/RbV2Pxj/5JVrX/AGw/9Hx124RWt6nsZa7x+f8AkfKVFFFewe8KvWpB0qMdakWgliLxIDWrat0rLH3qvWrU0Y11eJtwmrsZrOgbpV+I1jUR81io2ZaSpKiSpRXHI85jxThTRThWTAcKdTRSg1DGPBpc0yjNRYY/NJmm5ozRYBaKSlxQAlGKXFLii4CYpcU7FKBUtjsJilxSgU7FS5FJDcUuKcBS4qHIdhuKcBS0uKlyKsJTgKAKcBUORSQAU8CkApwrKTLSFFPFNFPFYyNEKKdTRTqzZohRS0gpazZaFpaQUoqSkFFFFIYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUgCjFLRQMMUYpcUUrhYTFFLRRcLCUUtFACUUtFACUUtJQAlFLSUxCUUtFO4rCYpKdSGncLCU0040w1pEiQxqjNPY1Ga6IIwkxp60w040mK3RkxuKSnYpCKtMkQ0w0+mGrRLGGonqU1E9bQM2VZe9Vnq1LVV676QQ3ISaaTStUZNdKR1xiIzVExpzGozWiR0wiNJqN+FJqTFRz8QsfpVx3R10vjS8yLdUUvPNN3048xg1tPY9KorJGfN1NVwKsS/eNRAVgbR2GmmVIajoLQUUUUDPSPtQ9aPtQ9awPtw/vUn20etcn1VHyH1Cob/wBr96T7X71g/bR60fbR60/qqH9QqG79r96PtXvWF9s/2qPtg9af1ZB9Qmbn2qj7VWJ9sH96j7YP71H1ZC+oTNz7VR9qrE+2D1o+2r/eo+rIPqMzb+00v2n3rE+2r/epfty/3qX1ZC+o1OxtfaPelFxWJ9uX+9S/b1/vUvqwvqVXsbnnil88etYX9oL60v8AaC+tL6qL6lV7G6Jx60vnj1rB/tEf3qP7RX+9U/VA+pVuxv8AnD1pfPX1rnv7SH96j+0R60fUw+pVux0Pnr60faF9a53+0R/epP7RHrR9TH9Srdjo/tK+tJ9qX1rnP7QHrSfb/en9TRX1GsdH9rX1ppux61zv2/8A2qPt3vTWDiP6hVOgN4PWmm996wPtvvSfa/8AaqlhIj/s+Zum996Yb33rEN2PWk+1D1q1hootZe+psNeH1qJrsnvWX9pHrR9oX1q1Rii1gLdDQNyT3phmJ71S+0L60n2hfUVSgjRYS3QuGQ03fVX7QvrSfaV9arlLWHfYt7qTNVftS+tJ9qX1osV9Xl2LeaM1T+1D1o+0j1osP6vIuZo3VS+0j1o+0j1osH1aRd3Um+qX2ketH2ketFh/VpF3fSb6pfaV9aPtI9aLD+rMu7qN1UvtI9aPtA9adh/V2Xd1G+qX2getL9oHrRYPq7Lu+jfVL7QPWlE49aVifq7Lu+l31S88etL549aOUX1dlzfS76pfaF9aX7QPWjlJeHfYu76XfVL7QPWl+0r60uUl4aXYu7qXdVEXK+tL9pX1pcpLw0uxe3Uuao/al9aX7WvrRyEvDT7F7NOzVAXa+tOF2vrU8jIeGn2L4pRVEXa+tL9sX1pcjM3hqnYv8UVQ+2L60v21fWl7Nk/VanYu5pd2KofbV9aPtq+tHs2H1Wp2NASEd6cJj61mfbF9RS/bU9RSdITwc+xqiY+tOEx9ayPtq+tKL5fWpdAl4Kp2NgTe9OE3vWN9uHrS/bh61P1cn6nU7GyJfeneaPWsX7cPWj7cPWl9WYvqdXsbfmL60olX1rD+3e9H27/aqfqrH9Tq9jeEyDvS/aErn/tw/vUfbR/epfUw+qVex0H2haPtCVz/ANuHrR9vHrR9TH9Uq9joPtC04XKjvXO/bx60fbx/epfUg+q1ux0f2xfWkN6PWud+3D+9Sfbh60fUYj+q1joTej1ppvPeuf8Atw/vUn273qlgoj+p1joDeD1ppvPesH7aPWj7aPWmsJEPqVU3Dd+9Ibr3rE+2D1o+2D1qvqqF9SqG19p96T7RWP8AbF9aPti+tP6uhfU6hsfaKXz6x/tq+tH21fWl9XD6nU7GyJ6UT+9Yv25fWj7ePWj6sL6lV7G35/vS/aB61h/bx60n28f3qX1Uf1Kr2N37QPWj7SPWsH+0B60n28e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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=1680x320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from nassu import viz\n",
    "\n",
    "viz.enable_offscreen()\n",
    "\n",
    "PANEL = (840, 320)\n",
    "cfg = sim_cfgs[\"periodicTurbulentPipe\", 0]\n",
    "domain = (456.0, 152.0, 152.0)\n",
    "\n",
    "panels = [\n",
    "    viz.Panel(\n",
    "        \"longitudinal\",\n",
    "        viz.PlaneSource.from_cfg(cfg, series=\"plane_series\", plane=\"longitudinal\"),\n",
    "        viz.frame_domain(domain, \"y\", panel=PANEL, slice_coord=76.0),\n",
    "    ),\n",
    "    viz.Panel(\n",
    "        \"cross-section\",\n",
    "        viz.PlaneSource.from_cfg(cfg, series=\"plane_series\", plane=\"cross_section\"),\n",
    "        viz.frame_domain(domain, \"x\", panel=PANEL, slice_coord=228.0),\n",
    "    ),\n",
    "]\n",
    "steps = [panels[0].source.steps[-1]]\n",
    "plotter = viz.render_grid(\n",
    "    panels,\n",
    "    steps=steps,\n",
    "    scalar=\"u_mag\",\n",
    "    cmap=\"viridis\",\n",
    "    clim=(0.0, 0.08),\n",
    "    bar_title=\"|u|\",\n",
    "    panel_size=PANEL,\n",
    ")\n",
    "plotter.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-29T17:45:49.815437Z",
     "iopub.status.busy": "2026-06-29T17:45:49.815361Z",
     "iopub.status.idle": "2026-06-29T17:45:49.849682Z",
     "shell.execute_reply": "2026-06-29T17:45:49.849397Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Version: 2.0.1a0\n",
      "Commit hash: beddd3464d5add9153956c71d380b82cb4629570\n"
     ]
    }
   ],
   "source": [
    "sim_info = sim_cfg.output.read_info()\n",
    "\n",
    "nassu_commit = sim_info[\"commit\"]\n",
    "nassu_version = sim_info[\"version\"]\n",
    "print(\"Version:\", nassu_version)\n",
    "print(\"Commit hash:\", nassu_commit)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Configuration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-29T17:45:49.850376Z",
     "iopub.status.busy": "2026-06-29T17:45:49.850307Z",
     "iopub.status.idle": "2026-06-29T17:45:49.882712Z",
     "shell.execute_reply": "2026-06-29T17:45:49.882361Z"
    }
   },
   "outputs": [
    {
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       "<span class=\"w\">  </span><span class=\"c1\"># Wall distance from the pipe axis (centre at y=z=76, radius R=72), clamped to</span>\n",
       "<span class=\"w\">  </span><span class=\"c1\"># &gt;= 0 so the profile is finite and exactly zero at and beyond the wall. Without</span>\n",
       "<span class=\"w\">  </span><span class=\"c1\"># the clamp the corners of the square domain (r &gt; R) feed a negative argument to</span>\n",
       "<span class=\"w\">  </span><span class=\"c1\"># log() and produce NaN. The envelope (1 - r^2/R^2, clamped) vanishes at the wall</span>\n",
       "<span class=\"w\">  </span><span class=\"c1\"># and modulates the trip perturbations.</span>\n",
       "<span class=\"w\">  </span><span class=\"nt\">wall_dist</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"s\">&quot;Max(72</span><span class=\"nv\"> </span><span class=\"s\">-</span><span class=\"nv\"> </span><span class=\"s\">sqrt((y</span><span class=\"nv\"> </span><span class=\"s\">-</span><span class=\"nv\"> </span><span class=\"s\">76)**2</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">(z</span><span class=\"nv\"> </span><span class=\"s\">-</span><span class=\"nv\"> </span><span class=\"s\">76)**2),</span><span class=\"nv\"> </span><span class=\"s\">0)&quot;</span>\n",
       "<span class=\"w\">  </span><span class=\"nt\">envelope</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"s\">&quot;Max(1</span><span class=\"nv\"> </span><span class=\"s\">-</span><span class=\"nv\"> </span><span class=\"s\">((y</span><span class=\"nv\"> </span><span class=\"s\">-</span><span class=\"nv\"> </span><span class=\"s\">76)**2</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">(z</span><span class=\"nv\"> </span><span class=\"s\">-</span><span class=\"nv\"> </span><span class=\"s\">76)**2)/5184,</span><span class=\"nv\"> </span><span class=\"s\">0)&quot;</span>\n",
       "\n",
       "<span class=\"nt\">simulations</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">  </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"nt\">name</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">periodicTurbulentPipe</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">save_path</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">./validation/turbulence/03_turbulent_pipe_flow/results/periodic</span>\n",
       "\n",
       "<span class=\"w\">    </span><span class=\"nt\">n_steps</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">400000</span>\n",
       "<span class=\"w\">    </span><span class=\"c1\"># u* = 0.0034013 / R = 72 / ETT = R/u* = 18,820</span>\n",
       "<span class=\"w\">    </span><span class=\"c1\"># Re_tau = 180</span>\n",
       "<span class=\"w\">    </span><span class=\"c1\"># y+ = 2.5</span>\n",
       "\n",
       "<span class=\"w\">    </span><span class=\"nt\">report</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">frequency</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">1000</span>\n",
       "\n",
       "<span class=\"w\">    </span><span class=\"nt\">domain</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">domain_size</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">x</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">456</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">y</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">152</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">z</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">152</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">block_size</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">8</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">bodies</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">cylinder</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">geometry_path</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">fixture/stl/basic/cylinder.stl</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">transformation</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">scale</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">72</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">72</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">72</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">translation</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">-4</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">4</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">4</span><span class=\"p p-Indicator\">]</span>\n",
       "\n",
       "<span class=\"w\">    </span><span class=\"nt\">data</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">exports</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">default</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">macrs</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">rho</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">u</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">interval</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">frequency</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">200000</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">lvl</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">0</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">target</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">volume</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">{}</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">outputs</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">instantaneous</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">true</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">default_stats</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">macrs</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">rho</span>\n",
       "<span class=\"w\">            </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">u</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">interval</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">frequency</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">100</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">start_step</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">200000</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">lvl</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">0</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">target</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">volume</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">{}</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">outputs</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">instantaneous</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">false</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">stats</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">macrs_1st_order</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">rho</span>\n",
       "<span class=\"w\">                </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">u</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">macrs_2nd_order</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">u</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">plane_series</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">macrs</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">rho</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">u</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">interval</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">{</span><span class=\"nt\">frequency</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"nv\">40000</span><span class=\"p p-Indicator\">,</span><span class=\"nt\"> lvl</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"nv\">0</span><span class=\"p p-Indicator\">}</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">target</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">planes</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">              </span><span class=\"c1\"># Longitudinal plane through the pipe axis.</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">longitudinal</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">axis</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">y</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">axis_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">76</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">dist</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">1</span>\n",
       "<span class=\"w\">              </span><span class=\"c1\"># Cross-section at mid-length.</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">cross_section</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">axis</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">x</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">axis_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">228</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">dist</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">1</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">outputs</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">instantaneous</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">true</span>\n",
       "\n",
       "<span class=\"w\">    </span><span class=\"nt\">models</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">precision</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">default</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">single</span>\n",
       "\n",
       "<span class=\"w\">      </span><span class=\"nt\">LBM</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">tau</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">0.504081632653061</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">F</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">x</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">3.21368E-07</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">y</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">0</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">z</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">0</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">vel_set</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">D3Q27</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">coll_oper</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">RRBGK</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">initialization</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"c1\"># Reichardt mean profile (u+ = 2.5 ln(1 + 0.41 y+) + 7.8 wake), with the</span>\n",
       "<span class=\"w\">        </span><span class=\"c1\"># friction velocity u* = 0.0034013 as the velocity scale and y+ = (u*/nu) d</span>\n",
       "<span class=\"w\">        </span><span class=\"c1\"># = 2.5 d as the inner coordinate (nu = cs^2 (tau - 0.5) = 1.36e-3). On top</span>\n",
       "<span class=\"w\">        </span><span class=\"c1\"># of it, wall-enveloped multi-mode sinusoids trip transition; the flow then</span>\n",
       "<span class=\"w\">        </span><span class=\"c1\"># redevelops itself. Centreline init Ma ~ 0.13, within the Ma &lt; 0.1 working</span>\n",
       "<span class=\"w\">        </span><span class=\"c1\"># range once it relaxes.</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">equations</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">rho</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"s\">&quot;1&quot;</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">ux</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!sub</span><span class=\"w\"> </span><span class=\"s\">&quot;0.0034013*(2.5*log(1</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">0.41*2.5*${wall_dist})</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">7.8*(1</span><span class=\"nv\"> </span><span class=\"s\">-</span><span class=\"nv\"> </span><span class=\"s\">exp(-2.5*${wall_dist}/11)</span><span class=\"nv\"> </span><span class=\"s\">-</span><span class=\"nv\"> </span><span class=\"s\">(2.5*${wall_dist}/11)*exp(-2.5*${wall_dist}/3)))</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">0.010*${envelope}*cos(2*pi*4*(y</span><span class=\"nv\"> </span><span class=\"s\">-</span><span class=\"nv\"> </span><span class=\"s\">76)/144)*cos(2*pi*3*(z</span><span class=\"nv\"> </span><span class=\"s\">-</span><span class=\"nv\"> </span><span class=\"s\">76)/144)</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">0.006*${envelope}*sin(2*pi*3*(y</span><span class=\"nv\"> </span><span class=\"s\">-</span><span class=\"nv\"> </span><span class=\"s\">76)/144)*sin(2*pi*4*(z</span><span class=\"nv\"> </span><span class=\"s\">-</span><span class=\"nv\"> </span><span class=\"s\">76)/144)&quot;</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">uy</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!sub</span><span class=\"w\"> </span><span class=\"s\">&quot;0.006*${envelope}*sin(2*pi*3*x/456)*(z</span><span class=\"nv\"> </span><span class=\"s\">-</span><span class=\"nv\"> </span><span class=\"s\">76)/72</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">0.004*${envelope}**2*cos(2*pi*2*x/456)*(z</span><span class=\"nv\"> </span><span class=\"s\">-</span><span class=\"nv\"> </span><span class=\"s\">76)/72&quot;</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">uz</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!sub</span><span class=\"w\"> </span><span class=\"s\">&quot;-0.006*${envelope}*sin(2*pi*3*x/456)*(y</span><span class=\"nv\"> </span><span class=\"s\">-</span><span class=\"nv\"> </span><span class=\"s\">76)/72</span><span class=\"nv\"> </span><span class=\"s\">-</span><span class=\"nv\"> </span><span class=\"s\">0.004*${envelope}**2*cos(2*pi*2*x/456)*(y</span><span class=\"nv\"> </span><span class=\"s\">-</span><span class=\"nv\"> </span><span class=\"s\">76)/72&quot;</span>\n",
       "\n",
       "<span class=\"w\">      </span><span class=\"nt\">engine</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">name</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">CUDA</span>\n",
       "\n",
       "<span class=\"w\">      </span><span class=\"nt\">BC</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">periodic_dims</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">true</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">false</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">false</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">BC_map</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"nt\">pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">N</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">BC</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">RegularizedHWBB</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">wall_normal</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">N</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">order</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">1</span>\n",
       "\n",
       "<span class=\"w\">          </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"nt\">pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">S</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">BC</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">RegularizedHWBB</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">wall_normal</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">S</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">order</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">1</span>\n",
       "\n",
       "<span class=\"w\">          </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"nt\">pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">F</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">BC</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">RegularizedHWBB</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">wall_normal</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">F</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">order</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">2</span>\n",
       "\n",
       "<span class=\"w\">          </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"nt\">pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">B</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">BC</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">RegularizedHWBB</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">wall_normal</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">B</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">order</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">2</span>\n",
       "\n",
       "<span class=\"w\">      </span><span class=\"nt\">IBM</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">forces_accomodate_time</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">1000</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">body_cfgs</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">default</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">{}</span>\n",
       "</pre></div>\n"
      ],
      "text/latex": [
       "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n",
       "\\PY{n+nt}{variables}\\PY{p}{:}\n",
       "\\PY{+w}{  }\\PY{c+c1}{\\PYZsh{} Wall distance from the pipe axis (centre at y=z=76, radius R=72), clamped to}\n",
       "\\PY{+w}{  }\\PY{c+c1}{\\PYZsh{} \\PYZgt{}= 0 so the profile is finite and exactly zero at and beyond the wall. Without}\n",
       "\\PY{+w}{  }\\PY{c+c1}{\\PYZsh{} the clamp the corners of the square domain (r \\PYZgt{} R) feed a negative argument to}\n",
       "\\PY{+w}{  }\\PY{c+c1}{\\PYZsh{} log() and produce NaN. The envelope (1 \\PYZhy{} r\\PYZca{}2/R\\PYZca{}2, clamped) vanishes at the wall}\n",
       "\\PY{+w}{  }\\PY{c+c1}{\\PYZsh{} and modulates the trip perturbations.}\n",
       "\\PY{+w}{  }\\PY{n+nt}{wall\\PYZus{}dist}\\PY{p}{:}\\PY{+w}{ }\\PY{l+s}{\\PYZdq{}}\\PY{l+s}{Max(72}\\PY{n+nv}{ }\\PY{l+s}{\\PYZhy{}}\\PY{n+nv}{ }\\PY{l+s}{sqrt((y}\\PY{n+nv}{ }\\PY{l+s}{\\PYZhy{}}\\PY{n+nv}{ }\\PY{l+s}{76)**2}\\PY{n+nv}{ }\\PY{l+s}{+}\\PY{n+nv}{ }\\PY{l+s}{(z}\\PY{n+nv}{ }\\PY{l+s}{\\PYZhy{}}\\PY{n+nv}{ }\\PY{l+s}{76)**2),}\\PY{n+nv}{ }\\PY{l+s}{0)}\\PY{l+s}{\\PYZdq{}}\n",
       "\\PY{+w}{  }\\PY{n+nt}{envelope}\\PY{p}{:}\\PY{+w}{ }\\PY{l+s}{\\PYZdq{}}\\PY{l+s}{Max(1}\\PY{n+nv}{ }\\PY{l+s}{\\PYZhy{}}\\PY{n+nv}{ }\\PY{l+s}{((y}\\PY{n+nv}{ }\\PY{l+s}{\\PYZhy{}}\\PY{n+nv}{ }\\PY{l+s}{76)**2}\\PY{n+nv}{ }\\PY{l+s}{+}\\PY{n+nv}{ }\\PY{l+s}{(z}\\PY{n+nv}{ }\\PY{l+s}{\\PYZhy{}}\\PY{n+nv}{ }\\PY{l+s}{76)**2)/5184,}\\PY{n+nv}{ }\\PY{l+s}{0)}\\PY{l+s}{\\PYZdq{}}\n",
       "\n",
       "\\PY{n+nt}{simulations}\\PY{p}{:}\n",
       "\\PY{+w}{  }\\PY{p+pIndicator}{\\PYZhy{}}\\PY{+w}{ }\\PY{n+nt}{name}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{periodicTurbulentPipe}\n",
       "\\PY{+w}{    }\\PY{n+nt}{save\\PYZus{}path}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{./validation/turbulence/03\\PYZus{}turbulent\\PYZus{}pipe\\PYZus{}flow/results/periodic}\n",
       "\n",
       "\\PY{+w}{    }\\PY{n+nt}{n\\PYZus{}steps}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{400000}\n",
       "\\PY{+w}{    }\\PY{c+c1}{\\PYZsh{} u* = 0.0034013 / R = 72 / ETT = R/u* = 18,820}\n",
       "\\PY{+w}{    }\\PY{c+c1}{\\PYZsh{} Re\\PYZus{}tau = 180}\n",
       "\\PY{+w}{    }\\PY{c+c1}{\\PYZsh{} y+ = 2.5}\n",
       "\n",
       "\\PY{+w}{    }\\PY{n+nt}{report}\\PY{p}{:}\n",
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       "\n",
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       "\\PY{+w}{                }\\PY{p+pIndicator}{\\PYZhy{}}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{u}\n",
       "\\PY{+w}{              }\\PY{n+nt}{macrs\\PYZus{}2nd\\PYZus{}order}\\PY{p}{:}\n",
       "\\PY{+w}{                }\\PY{p+pIndicator}{\\PYZhy{}}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{u}\n",
       "\\PY{+w}{        }\\PY{n+nt}{plane\\PYZus{}series}\\PY{p}{:}\n",
       "\\PY{+w}{          }\\PY{n+nt}{macrs}\\PY{p}{:}\\PY{+w}{ }\\PY{p+pIndicator}{[}\\PY{n+nv}{rho}\\PY{p+pIndicator}{,}\\PY{+w}{ }\\PY{n+nv}{u}\\PY{p+pIndicator}{]}\n",
       "\\PY{+w}{          }\\PY{n+nt}{interval}\\PY{p}{:}\\PY{+w}{ }\\PY{p+pIndicator}{\\PYZob{}}\\PY{n+nt}{frequency}\\PY{p}{:}\\PY{+w}{ }\\PY{n+nv}{40000}\\PY{p+pIndicator}{,}\\PY{n+nt}{ lvl}\\PY{p}{:}\\PY{+w}{ }\\PY{n+nv}{0}\\PY{p+pIndicator}{\\PYZcb{}}\n",
       "\\PY{+w}{          }\\PY{n+nt}{target}\\PY{p}{:}\n",
       "\\PY{+w}{            }\\PY{n+nt}{planes}\\PY{p}{:}\n",
       "\\PY{+w}{              }\\PY{c+c1}{\\PYZsh{} Longitudinal plane through the pipe axis.}\n",
       "\\PY{+w}{              }\\PY{n+nt}{longitudinal}\\PY{p}{:}\n",
       "\\PY{+w}{                }\\PY{n+nt}{axis}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{y}\n",
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       "\\PY{+w}{              }\\PY{c+c1}{\\PYZsh{} Cross\\PYZhy{}section at mid\\PYZhy{}length.}\n",
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       "\\PY{+w}{          }\\PY{n+nt}{outputs}\\PY{p}{:}\n",
       "\\PY{+w}{            }\\PY{n+nt}{instantaneous}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{true}\n",
       "\n",
       "\\PY{+w}{    }\\PY{n+nt}{models}\\PY{p}{:}\n",
       "\\PY{+w}{      }\\PY{n+nt}{precision}\\PY{p}{:}\n",
       "\\PY{+w}{        }\\PY{n+nt}{default}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{single}\n",
       "\n",
       "\\PY{+w}{      }\\PY{n+nt}{LBM}\\PY{p}{:}\n",
       "\\PY{+w}{        }\\PY{n+nt}{tau}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{0.504081632653061}\n",
       "\\PY{+w}{        }\\PY{n+nt}{F}\\PY{p}{:}\n",
       "\\PY{+w}{          }\\PY{n+nt}{x}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{3.21368E\\PYZhy{}07}\n",
       "\\PY{+w}{          }\\PY{n+nt}{y}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{0}\n",
       "\\PY{+w}{          }\\PY{n+nt}{z}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{0}\n",
       "\\PY{+w}{        }\\PY{n+nt}{vel\\PYZus{}set}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{D3Q27}\n",
       "\\PY{+w}{        }\\PY{n+nt}{coll\\PYZus{}oper}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{RRBGK}\n",
       "\\PY{+w}{      }\\PY{n+nt}{initialization}\\PY{p}{:}\n",
       "\\PY{+w}{        }\\PY{c+c1}{\\PYZsh{} Reichardt mean profile (u+ = 2.5 ln(1 + 0.41 y+) + 7.8 wake), with the}\n",
       "\\PY{+w}{        }\\PY{c+c1}{\\PYZsh{} friction velocity u* = 0.0034013 as the velocity scale and y+ = (u*/nu) d}\n",
       "\\PY{+w}{        }\\PY{c+c1}{\\PYZsh{} = 2.5 d as the inner coordinate (nu = cs\\PYZca{}2 (tau \\PYZhy{} 0.5) = 1.36e\\PYZhy{}3). On top}\n",
       "\\PY{+w}{        }\\PY{c+c1}{\\PYZsh{} of it, wall\\PYZhy{}enveloped multi\\PYZhy{}mode sinusoids trip transition; the flow then}\n",
       "\\PY{+w}{        }\\PY{c+c1}{\\PYZsh{} redevelops itself. Centreline init Ma \\PYZti{} 0.13, within the Ma \\PYZlt{} 0.1 working}\n",
       "\\PY{+w}{        }\\PY{c+c1}{\\PYZsh{} range once it relaxes.}\n",
       "\\PY{+w}{        }\\PY{n+nt}{equations}\\PY{p}{:}\n",
       "\\PY{+w}{          }\\PY{n+nt}{rho}\\PY{p}{:}\\PY{+w}{ }\\PY{l+s}{\\PYZdq{}}\\PY{l+s}{1}\\PY{l+s}{\\PYZdq{}}\n",
       "\\PY{+w}{          }\\PY{n+nt}{ux}\\PY{p}{:}\\PY{+w}{ }\\PY{k+kt}{!sub}\\PY{+w}{ }\\PY{l+s}{\\PYZdq{}}\\PY{l+s}{0.0034013*(2.5*log(1}\\PY{n+nv}{ }\\PY{l+s}{+}\\PY{n+nv}{ }\\PY{l+s}{0.41*2.5*\\PYZdl{}\\PYZob{}wall\\PYZus{}dist\\PYZcb{})}\\PY{n+nv}{ }\\PY{l+s}{+}\\PY{n+nv}{ }\\PY{l+s}{7.8*(1}\\PY{n+nv}{ }\\PY{l+s}{\\PYZhy{}}\\PY{n+nv}{ }\\PY{l+s}{exp(\\PYZhy{}2.5*\\PYZdl{}\\PYZob{}wall\\PYZus{}dist\\PYZcb{}/11)}\\PY{n+nv}{ }\\PY{l+s}{\\PYZhy{}}\\PY{n+nv}{ }\\PY{l+s}{(2.5*\\PYZdl{}\\PYZob{}wall\\PYZus{}dist\\PYZcb{}/11)*exp(\\PYZhy{}2.5*\\PYZdl{}\\PYZob{}wall\\PYZus{}dist\\PYZcb{}/3)))}\\PY{n+nv}{ }\\PY{l+s}{+}\\PY{n+nv}{ }\\PY{l+s}{0.010*\\PYZdl{}\\PYZob{}envelope\\PYZcb{}*cos(2*pi*4*(y}\\PY{n+nv}{ }\\PY{l+s}{\\PYZhy{}}\\PY{n+nv}{ }\\PY{l+s}{76)/144)*cos(2*pi*3*(z}\\PY{n+nv}{ }\\PY{l+s}{\\PYZhy{}}\\PY{n+nv}{ }\\PY{l+s}{76)/144)}\\PY{n+nv}{ }\\PY{l+s}{+}\\PY{n+nv}{ }\\PY{l+s}{0.006*\\PYZdl{}\\PYZob{}envelope\\PYZcb{}*sin(2*pi*3*(y}\\PY{n+nv}{ }\\PY{l+s}{\\PYZhy{}}\\PY{n+nv}{ }\\PY{l+s}{76)/144)*sin(2*pi*4*(z}\\PY{n+nv}{ }\\PY{l+s}{\\PYZhy{}}\\PY{n+nv}{ }\\PY{l+s}{76)/144)}\\PY{l+s}{\\PYZdq{}}\n",
       "\\PY{+w}{          }\\PY{n+nt}{uy}\\PY{p}{:}\\PY{+w}{ }\\PY{k+kt}{!sub}\\PY{+w}{ }\\PY{l+s}{\\PYZdq{}}\\PY{l+s}{0.006*\\PYZdl{}\\PYZob{}envelope\\PYZcb{}*sin(2*pi*3*x/456)*(z}\\PY{n+nv}{ }\\PY{l+s}{\\PYZhy{}}\\PY{n+nv}{ }\\PY{l+s}{76)/72}\\PY{n+nv}{ }\\PY{l+s}{+}\\PY{n+nv}{ }\\PY{l+s}{0.004*\\PYZdl{}\\PYZob{}envelope\\PYZcb{}**2*cos(2*pi*2*x/456)*(z}\\PY{n+nv}{ }\\PY{l+s}{\\PYZhy{}}\\PY{n+nv}{ }\\PY{l+s}{76)/72}\\PY{l+s}{\\PYZdq{}}\n",
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       "\n",
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       "\n",
       "\\PY{+w}{      }\\PY{n+nt}{BC}\\PY{p}{:}\n",
       "\\PY{+w}{        }\\PY{n+nt}{periodic\\PYZus{}dims}\\PY{p}{:}\\PY{+w}{ }\\PY{p+pIndicator}{[}\\PY{n+nv}{true}\\PY{p+pIndicator}{,}\\PY{+w}{ }\\PY{n+nv}{false}\\PY{p+pIndicator}{,}\\PY{+w}{ }\\PY{n+nv}{false}\\PY{p+pIndicator}{]}\n",
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       "\\PY{+w}{            }\\PY{n+nt}{order}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{1}\n",
       "\n",
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       "\n",
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       "\n",
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       "\\PY{+w}{            }\\PY{n+nt}{wall\\PYZus{}normal}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{B}\n",
       "\\PY{+w}{            }\\PY{n+nt}{order}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{2}\n",
       "\n",
       "\\PY{+w}{      }\\PY{n+nt}{IBM}\\PY{p}{:}\n",
       "\\PY{+w}{        }\\PY{n+nt}{forces\\PYZus{}accomodate\\PYZus{}time}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{1000}\n",
       "\\PY{+w}{        }\\PY{n+nt}{body\\PYZus{}cfgs}\\PY{p}{:}\n",
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       "\\end{Verbatim}\n"
      ],
      "text/plain": [
       "variables:\n",
       "  # Wall distance from the pipe axis (centre at y=z=76, radius R=72), clamped to\n",
       "  # >= 0 so the profile is finite and exactly zero at and beyond the wall. Without\n",
       "  # the clamp the corners of the square domain (r > R) feed a negative argument to\n",
       "  # log() and produce NaN. The envelope (1 - r^2/R^2, clamped) vanishes at the wall\n",
       "  # and modulates the trip perturbations.\n",
       "  wall_dist: \"Max(72 - sqrt((y - 76)**2 + (z - 76)**2), 0)\"\n",
       "  envelope: \"Max(1 - ((y - 76)**2 + (z - 76)**2)/5184, 0)\"\n",
       "\n",
       "simulations:\n",
       "  - name: periodicTurbulentPipe\n",
       "    save_path: ./validation/turbulence/03_turbulent_pipe_flow/results/periodic\n",
       "\n",
       "    n_steps: 400000\n",
       "    # u* = 0.0034013 / R = 72 / ETT = R/u* = 18,820\n",
       "    # Re_tau = 180\n",
       "    # y+ = 2.5\n",
       "\n",
       "    report:\n",
       "      frequency: 1000\n",
       "\n",
       "    domain:\n",
       "      domain_size:\n",
       "        x: 456\n",
       "        y: 152\n",
       "        z: 152\n",
       "      block_size: 8\n",
       "      bodies:\n",
       "        cylinder:\n",
       "          geometry_path: fixture/stl/basic/cylinder.stl\n",
       "          transformation:\n",
       "            scale: [72, 72, 72]\n",
       "            translation: [-4, 4, 4]\n",
       "\n",
       "    data:\n",
       "      exports:\n",
       "        default:\n",
       "          macrs: [rho, u]\n",
       "          interval:\n",
       "            frequency: 200000\n",
       "            lvl: 0\n",
       "          target:\n",
       "            volume: {}\n",
       "          outputs:\n",
       "            instantaneous: true\n",
       "        default_stats:\n",
       "          macrs:\n",
       "            - rho\n",
       "            - u\n",
       "          interval:\n",
       "            frequency: 100\n",
       "            start_step: 200000\n",
       "            lvl: 0\n",
       "          target:\n",
       "            volume: {}\n",
       "          outputs:\n",
       "            instantaneous: false\n",
       "            stats:\n",
       "              macrs_1st_order:\n",
       "                - rho\n",
       "                - u\n",
       "              macrs_2nd_order:\n",
       "                - u\n",
       "        plane_series:\n",
       "          macrs: [rho, u]\n",
       "          interval: {frequency: 40000, lvl: 0}\n",
       "          target:\n",
       "            planes:\n",
       "              # Longitudinal plane through the pipe axis.\n",
       "              longitudinal:\n",
       "                axis: y\n",
       "                axis_pos: 76\n",
       "                dist: 1\n",
       "              # Cross-section at mid-length.\n",
       "              cross_section:\n",
       "                axis: x\n",
       "                axis_pos: 228\n",
       "                dist: 1\n",
       "          outputs:\n",
       "            instantaneous: true\n",
       "\n",
       "    models:\n",
       "      precision:\n",
       "        default: single\n",
       "\n",
       "      LBM:\n",
       "        tau: 0.504081632653061\n",
       "        F:\n",
       "          x: 3.21368E-07\n",
       "          y: 0\n",
       "          z: 0\n",
       "        vel_set: D3Q27\n",
       "        coll_oper: RRBGK\n",
       "      initialization:\n",
       "        # Reichardt mean profile (u+ = 2.5 ln(1 + 0.41 y+) + 7.8 wake), with the\n",
       "        # friction velocity u* = 0.0034013 as the velocity scale and y+ = (u*/nu) d\n",
       "        # = 2.5 d as the inner coordinate (nu = cs^2 (tau - 0.5) = 1.36e-3). On top\n",
       "        # of it, wall-enveloped multi-mode sinusoids trip transition; the flow then\n",
       "        # redevelops itself. Centreline init Ma ~ 0.13, within the Ma < 0.1 working\n",
       "        # range once it relaxes.\n",
       "        equations:\n",
       "          rho: \"1\"\n",
       "          ux: !sub \"0.0034013*(2.5*log(1 + 0.41*2.5*${wall_dist}) + 7.8*(1 - exp(-2.5*${wall_dist}/11) - (2.5*${wall_dist}/11)*exp(-2.5*${wall_dist}/3))) + 0.010*${envelope}*cos(2*pi*4*(y - 76)/144)*cos(2*pi*3*(z - 76)/144) + 0.006*${envelope}*sin(2*pi*3*(y - 76)/144)*sin(2*pi*4*(z - 76)/144)\"\n",
       "          uy: !sub \"0.006*${envelope}*sin(2*pi*3*x/456)*(z - 76)/72 + 0.004*${envelope}**2*cos(2*pi*2*x/456)*(z - 76)/72\"\n",
       "          uz: !sub \"-0.006*${envelope}*sin(2*pi*3*x/456)*(y - 76)/72 - 0.004*${envelope}**2*cos(2*pi*2*x/456)*(y - 76)/72\"\n",
       "\n",
       "      engine:\n",
       "        name: CUDA\n",
       "\n",
       "      BC:\n",
       "        periodic_dims: [true, false, false]\n",
       "        BC_map:\n",
       "          - pos: N\n",
       "            BC: RegularizedHWBB\n",
       "            wall_normal: N\n",
       "            order: 1\n",
       "\n",
       "          - pos: S\n",
       "            BC: RegularizedHWBB\n",
       "            wall_normal: S\n",
       "            order: 1\n",
       "\n",
       "          - pos: F\n",
       "            BC: RegularizedHWBB\n",
       "            wall_normal: F\n",
       "            order: 2\n",
       "\n",
       "          - pos: B\n",
       "            BC: RegularizedHWBB\n",
       "            wall_normal: B\n",
       "            order: 2\n",
       "\n",
       "      IBM:\n",
       "        forces_accomodate_time: 1000\n",
       "        body_cfgs:\n",
       "          default: {}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Code\n",
    "\n",
    "Code(filename=filename)"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "nassu (3.12.13)",
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
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