{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Atmospheric Boundary Layer\n",
    "\n",
    "The simulation of a atmospheric flow is used for the confirmation wether the solver is able to reproduce a wind tunnel experiment. Through appropriate obstacles arrangement, it is possible to shape the wind profile of a wind tunnel in accordance to wind standards for different wind categories. In the present simulations, plate shaped obstacles are placed over a wind tunnel from inlet. To reduce the development length, the Synthetic Eddy Method is adopted as inlet boundary condition:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![localimage](images/sem_wind_tunnel.svg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nassu.cfg.model import ConfigScheme\n",
    "\n",
    "filename = \"tests/validation/cases/06_atmospheric_flow.nassu.yaml\"\n",
    "\n",
    "sim_cfgs = ConfigScheme.sim_cfgs_from_file_dct(filename)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Velocity Profile"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here the functions used for and turbulent intensity velocity profiles processing used for all cases are defined:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pathlib\n",
    "from nassu.cfg.schemes.simul import SimulationConfigs\n",
    "from tests.validation.notebooks import common\n",
    "from vtk.util.numpy_support import vtk_to_numpy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The floor is delineated with an IBM plane placed at 5.01 nodes height. The scale adopted is such that each LBM node at level 0 correspond to 8 meters. The highest level adopted is 1, with a resolution of 4 meters per node. Only the plates height varied between each case. The plates width was of 12 meters and its spacing of 32x64 meters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "base_height = 5.01\n",
    "max_height_nodes = 25\n",
    "height_m_node_lvl0 = 8\n",
    "n_points = 50\n",
    "\n",
    "\n",
    "def get_line_for_probe(sim_cfg: SimulationConfigs, x_dist: float) -> np.ndarray:\n",
    "    global base_height, max_height_nodes, n_points\n",
    "    ds = sim_cfg.domain.domain_size\n",
    "\n",
    "    p0 = np.array((x_dist, ds.y // 2, base_height))\n",
    "    p1 = np.array((x_dist, ds.y // 2, base_height + max_height_nodes))\n",
    "    pos = np.linspace(p0, p1, num=n_points, endpoint=True)\n",
    "\n",
    "    return pos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_readers_outputs = {}\n",
    "\n",
    "\n",
    "def get_output(sim_cfg: SimulationConfigs):\n",
    "    global all_readers_outputs\n",
    "\n",
    "    key = (sim_cfg.name, sim_cfg.sim_id)\n",
    "    if key in all_readers_outputs:\n",
    "        return all_readers_outputs[key]\n",
    "    else:\n",
    "        # Avoid keeping too many vtms in memory\n",
    "        all_readers_outputs = {}\n",
    "\n",
    "    stats_export = sim_cfg.output.stats[\"full_stats\"]\n",
    "    last_step = stats_export.interval.get_all_process_steps(sim_cfg.n_steps)[-1]\n",
    "    reader = stats_export.read_vtm_export(last_step)\n",
    "\n",
    "    all_readers_outputs[key] = reader.GetOutput()\n",
    "    return all_readers_outputs[key]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_macr_values(\n",
    "    sim_cfg: SimulationConfigs, macr_name: str, is_2nd_order: bool, line: np.ndarray\n",
    ") -> np.ndarray:\n",
    "    reader_output = get_output(sim_cfg)\n",
    "\n",
    "    macr_name_read = macr_name if not is_2nd_order else f\"{macr_name}_2nd\"\n",
    "\n",
    "    line = common.create_line(line[0], line[-1], len(line) - 1)\n",
    "\n",
    "    probe_filter = common.probe_over_line(line, reader_output)\n",
    "    arr = probe_filter.GetOutput().GetPointData().GetArray(macr_name_read)\n",
    "    probed_data = vtk_to_numpy(arr)\n",
    "\n",
    "    return probed_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load the comparison data generated using the EU standard for wind categories."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "comparison_folder = pathlib.Path(\"fixture/SEM/category_vprofile\")\n",
    "files = [\n",
    "    \"profile_log_cat0_H150_Uh0.06\",\n",
    "    \"profile_log_cat1_H150_Uh0.06\",\n",
    "    \"profile_log_cat2_H150_Uh0.06\",\n",
    "    \"profile_log_cat3_H150_Uh0.06\",\n",
    "    \"profile_log_cat4_H150_Uh0.06\",\n",
    "]\n",
    "get_filename_csv = lambda f: comparison_folder / (f + \".csv\")\n",
    "\n",
    "\n",
    "df_eu = {f: pd.read_csv(get_filename_csv(f), delimiter=\",\") for f in files}\n",
    "\n",
    "for f in files:\n",
    "    df_eu[f][\"Ix\"] = (df_eu[f][\"Rxx\"] / (df_eu[f][\"ux\"] ** 2)) ** 0.5\n",
    "    df_eu[f][\"zmeters\"] = df_eu[f][\"z\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Power Spectral Density"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here the functions used for the power spectral density (PSD) processing used for all cases are defined:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "import scipy\n",
    "from scipy.ndimage import gaussian_filter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "def filter_avg_data(data):\n",
    "    data = gaussian_filter(data, sigma=0)\n",
    "    return data\n",
    "\n",
    "\n",
    "def theoretical_spectrum_x(f_array):\n",
    "    S_out = np.zeros(len(f_array))\n",
    "    for i in range(len(f_array)):\n",
    "        S_out[i] = 6.8 * f_array[i] / (1 + 10.2 * (f_array[i])) ** (5 / 3)\n",
    "    return S_out\n",
    "\n",
    "\n",
    "def numerical_spectrum(data_arr, f, L):\n",
    "    arr = np.array(data_arr, dtype=np.float32).flatten()\n",
    "\n",
    "    xf, yf_img = scipy.signal.periodogram(arr, f, scaling=\"density\")\n",
    "    avg = np.average(arr)\n",
    "    st = np.std(arr)\n",
    "    yf_img = yf_img * (xf) / (st * st)\n",
    "    xf = xf * (L / avg)\n",
    "\n",
    "    yf = np.real(yf_img)\n",
    "    return xf, yf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Category 0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the category 0, no obstacles are placed on the plane."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_1919829/1736633160.py:24: RuntimeWarning: invalid value encountered in divide\n",
      "  Ix = ((ux_2nd - (ux**2)) / (ux**2)) ** (0.5)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_cfg = sim_cfgs[\"category_0_s4m\", 0]\n",
    "\n",
    "fig, ax = plt.subplots(1, 2)\n",
    "fig.set_size_inches(12, 5)\n",
    "\n",
    "ax[0].plot(\n",
    "    df_eu[\"profile_log_cat0_H150_Uh0.06\"][\"zmeters\"],\n",
    "    df_eu[\"profile_log_cat0_H150_Uh0.06\"][\"ux\"],\n",
    "    \"--k\",\n",
    "    label=\"EU\",\n",
    ")\n",
    "ax[1].plot(\n",
    "    df_eu[\"profile_log_cat0_H150_Uh0.06\"][\"zmeters\"],\n",
    "    df_eu[\"profile_log_cat0_H150_Uh0.06\"][\"Ix\"],\n",
    "    \"--k\",\n",
    "    label=\"EU\",\n",
    ")\n",
    "\n",
    "for dist in [0, 20, 40, 60, 80, 100]:\n",
    "    line01 = get_line_for_probe(sim_cfg, dist)\n",
    "\n",
    "    ux = get_macr_values(sim_cfg, \"ux\", is_2nd_order=False, line=line01)\n",
    "    ux_2nd = get_macr_values(sim_cfg, \"ux\", is_2nd_order=True, line=line01)\n",
    "    Ix = ((ux_2nd - (ux**2)) / (ux**2)) ** (0.5)\n",
    "\n",
    "    normline = ((line01) - base_height) * height_m_node_lvl0\n",
    "\n",
    "    ax[0].plot(normline[:, 2], ux, label=f\"dist {dist}\")\n",
    "    ax[1].plot(normline[:, 2], Ix, label=f\"dist {dist}\")\n",
    "\n",
    "ax[0].set_ylabel(r\"$u_{x}$\")\n",
    "ax[0].set_xlabel(r\"$x$[m]\")\n",
    "ax[0].set_ylim(0, 0.07)\n",
    "ax[0].set_xlim(0, 200)\n",
    "ax[0].grid()\n",
    "\n",
    "ax[1].set_ylabel(r\"$I_{uu}$\")\n",
    "ax[1].set_xlabel(r\"$x$[m]\")\n",
    "ax[1].legend()\n",
    "ax[1].set_ylim(0, 0.5)\n",
    "ax[1].set_xlim(0, 200)\n",
    "ax[1].grid()\n",
    "\n",
    "plt.show(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It can be noticed a elevated turbulent intensity at low heigth. It must be highlighted that in the first two nodes after the floor, the IBM has its diffusive layer which may contributes to generate turbulence higher than desired near the ground. Such effect could be mitigated by adopting a higher resolution for a terrain with no obstacles. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "def read_df_spectrum(sim_cfg: SimulationConfigs, line_name: str):\n",
    "    spectrum_series = sim_cfg.output.series[\"velocity\"].lines[line_name]\n",
    "\n",
    "    df_hs = spectrum_series.read_full_data(\"ux\")\n",
    "    df_points = pd.read_csv(spectrum_series.points_filename)\n",
    "    df_hs = df_hs[df_hs[\"time_step\"] >= 10000]\n",
    "\n",
    "    return df_hs, df_points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "pitot_position_x = [10, 50, 100]\n",
    "pitot_position_y = [80]\n",
    "pitot_position_z = [10, 50, 100]\n",
    "freq = 1\n",
    "\n",
    "pitot_position_z = [round(z * 0.125 + base_height, 4) for z in pitot_position_z]\n",
    "\n",
    "df_spectrum = []\n",
    "df_points = []\n",
    "\n",
    "for pos in pitot_position_x:\n",
    "    if pos < 100:\n",
    "        df_spectrum_aux, df_points_aux = read_df_spectrum(sim_cfg, f\"velocity_profile_0{pos}\")\n",
    "    else:\n",
    "        df_spectrum_aux, df_points_aux = read_df_spectrum(sim_cfg, f\"velocity_profile_{pos}\")\n",
    "    df_spectrum.append(df_spectrum_aux)\n",
    "    df_points.append(df_points_aux)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 3)\n",
    "fig.set_size_inches(15, 5)\n",
    "i = 0\n",
    "\n",
    "for z in pitot_position_z:\n",
    "    for y in pitot_position_y:\n",
    "        for j, x in enumerate(pitot_position_x):\n",
    "            df_probe_id = df_points[j][\n",
    "                (df_points[j][\"x\"] == x) & (df_points[j][\"y\"] == y) & (df_points[j][\"z\"] == z)\n",
    "            ].astype(str)\n",
    "            df_probe_id.reset_index(inplace=True)\n",
    "            ux_arr = df_spectrum[j][df_probe_id[\"idx\"]]\n",
    "\n",
    "            # L = get_L(z0[int(abl_category)], (z - floor)*scale)/scale\n",
    "            H = z - base_height\n",
    "            nxf, nyf = numerical_spectrum(ux_arr, freq, H)\n",
    "            yf_theo = theoretical_spectrum_x(nxf)\n",
    "            yf_avg = filter_avg_data(nyf)\n",
    "            ax[i].plot(nxf, yf_avg, label=f\"dist {x}\", alpha=0.7)\n",
    "    ax[i].plot(nxf, yf_theo, label=\"Theoretical\")\n",
    "    ax[i].set_title(f\"z={(z-base_height)*height_m_node_lvl0:.1f}m\")\n",
    "    ax[i].set_xscale(\"log\")\n",
    "    ax[i].set_yscale(\"log\")\n",
    "    # ax[i].axis([1e-2, 100, 0.001, 1])\n",
    "    ax[i].set_xlabel(r\"$f(L/u_{\\mathrm{avg}})$\")\n",
    "    i += 1\n",
    "\n",
    "ax[2].legend(loc=\"lower left\")\n",
    "ax[0].set_ylabel(r\"$S_{uu}f/\\sigma_{u}^{2}$\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The power spectral density curves suggest that the flow spectra becomes developed around 80 to 90 nodes. Good agreement of the peak with the theoretical Von Karman curve was obtained at all heights measured "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Category I"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the category I, plates of 1 meter heigth were considered."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_1919829/626174492.py:24: RuntimeWarning: invalid value encountered in divide\n",
      "  Ix = ((ux_2nd - (ux**2)) / (ux**2)) ** (0.5)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_cfg = sim_cfgs[\"category_1_s4m\", 0]\n",
    "\n",
    "fig, ax = plt.subplots(1, 2)\n",
    "fig.set_size_inches(12, 5)\n",
    "\n",
    "ax[0].plot(\n",
    "    df_eu[\"profile_log_cat1_H150_Uh0.06\"][\"zmeters\"],\n",
    "    df_eu[\"profile_log_cat1_H150_Uh0.06\"][\"ux\"],\n",
    "    \"--k\",\n",
    "    label=\"EU\",\n",
    ")\n",
    "ax[1].plot(\n",
    "    df_eu[\"profile_log_cat1_H150_Uh0.06\"][\"zmeters\"],\n",
    "    df_eu[\"profile_log_cat1_H150_Uh0.06\"][\"Ix\"],\n",
    "    \"--k\",\n",
    "    label=\"EU\",\n",
    ")\n",
    "\n",
    "for dist in [0, 20, 40, 60, 80, 100]:\n",
    "    line01 = get_line_for_probe(sim_cfg, dist)\n",
    "\n",
    "    ux = get_macr_values(sim_cfg, \"ux\", is_2nd_order=False, line=line01)\n",
    "    ux_2nd = get_macr_values(sim_cfg, \"ux\", is_2nd_order=True, line=line01)\n",
    "    Ix = ((ux_2nd - (ux**2)) / (ux**2)) ** (0.5)\n",
    "\n",
    "    normline = ((line01) - base_height) * height_m_node_lvl0\n",
    "\n",
    "    ax[0].plot(normline[:, 2], ux, label=f\"dist {dist}\")\n",
    "    ax[1].plot(normline[:, 2], Ix, label=f\"dist {dist}\")\n",
    "\n",
    "ax[0].set_ylabel(r\"$u_{x}$\")\n",
    "ax[0].set_xlabel(r\"$x$[m]\")\n",
    "ax[0].set_ylim(0, 0.07)\n",
    "ax[0].set_xlim(0, 200)\n",
    "ax[0].grid()\n",
    "\n",
    "ax[1].set_ylabel(r\"$I_{uu}$\")\n",
    "ax[1].set_xlabel(r\"$x$[m]\")\n",
    "ax[1].legend()\n",
    "ax[1].set_ylim(0, 0.5)\n",
    "ax[1].set_xlim(0, 200)\n",
    "ax[1].grid()\n",
    "\n",
    "plt.show(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Some improvement of from category 0 results was obtained in this case, however the plates heigth occupies only half node in the most refined level. This might not be ideal to obtain the exact turbulent intensity profile. Nevertheless, the profile fit can be considered as very satisfactory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "pitot_position_x = [10, 50, 100]\n",
    "pitot_position_y = [80]\n",
    "pitot_position_z = [10, 50, 100]\n",
    "freq = 1\n",
    "\n",
    "pitot_position_z = [round(z * 0.125 + base_height, 4) for z in pitot_position_z]\n",
    "\n",
    "df_spectrum = []\n",
    "df_points = []\n",
    "\n",
    "for pos in pitot_position_x:\n",
    "    if pos < 100:\n",
    "        df_spectrum_aux, df_points_aux = read_df_spectrum(sim_cfg, f\"velocity_profile_0{pos}\")\n",
    "    else:\n",
    "        df_spectrum_aux, df_points_aux = read_df_spectrum(sim_cfg, f\"velocity_profile_{pos}\")\n",
    "    df_spectrum.append(df_spectrum_aux)\n",
    "    df_points.append(df_points_aux)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 3)\n",
    "fig.set_size_inches(15, 5)\n",
    "i = 0\n",
    "\n",
    "for z in pitot_position_z:\n",
    "    for y in pitot_position_y:\n",
    "        for j, x in enumerate(pitot_position_x):\n",
    "            df_probe_id = df_points[j][\n",
    "                (df_points[j][\"x\"] == x) & (df_points[j][\"y\"] == y) & (df_points[j][\"z\"] == z)\n",
    "            ].astype(str)\n",
    "            df_probe_id.reset_index(inplace=True)\n",
    "            ux_arr = df_spectrum[j][df_probe_id[\"idx\"]]\n",
    "\n",
    "            # L = get_L(z0[int(abl_category)], (z - floor)*scale)/scale\n",
    "            H = z - base_height\n",
    "            nxf, nyf = numerical_spectrum(ux_arr, freq, H)\n",
    "            yf_theo = theoretical_spectrum_x(nxf)\n",
    "            yf_avg = filter_avg_data(nyf)\n",
    "            ax[i].plot(nxf, yf_avg, label=f\"dist {x}\", alpha=0.7)\n",
    "    ax[i].plot(nxf, yf_theo, label=\"Theoretical\")\n",
    "    ax[i].set_title(f\"z={(z-base_height)*height_m_node_lvl0:.1f}m\")\n",
    "    ax[i].set_xscale(\"log\")\n",
    "    ax[i].set_yscale(\"log\")\n",
    "    # ax[i].axis([1e-2, 100, 0.001, 1])\n",
    "    ax[i].set_xlabel(r\"$f(L/u_{\\mathrm{avg}})$\")\n",
    "    i += 1\n",
    "\n",
    "ax[2].legend(loc=\"lower left\")\n",
    "ax[0].set_ylabel(r\"$S_{uu}f/\\sigma_{u}^{2}$\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Again, the spectrum seem to become developed between 80 and 90 nodes from inlet."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Category II"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To mantain the category II profiles, plates of 2m high were used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_1919829/1396747330.py:24: RuntimeWarning: invalid value encountered in divide\n",
      "  Ix = ((ux_2nd - (ux**2)) / (ux**2)) ** (0.5)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_cfg = sim_cfgs[\"category_2_s4m\", 0]\n",
    "\n",
    "fig, ax = plt.subplots(1, 2)\n",
    "fig.set_size_inches(12, 5)\n",
    "\n",
    "ax[0].plot(\n",
    "    df_eu[\"profile_log_cat2_H150_Uh0.06\"][\"zmeters\"],\n",
    "    df_eu[\"profile_log_cat2_H150_Uh0.06\"][\"ux\"],\n",
    "    \"--k\",\n",
    "    label=\"EU\",\n",
    ")\n",
    "ax[1].plot(\n",
    "    df_eu[\"profile_log_cat2_H150_Uh0.06\"][\"zmeters\"],\n",
    "    df_eu[\"profile_log_cat2_H150_Uh0.06\"][\"Ix\"],\n",
    "    \"--k\",\n",
    "    label=\"EU\",\n",
    ")\n",
    "\n",
    "for dist in [0, 20, 40, 60, 80, 100]:\n",
    "    line01 = get_line_for_probe(sim_cfg, dist)\n",
    "\n",
    "    ux = get_macr_values(sim_cfg, \"ux\", is_2nd_order=False, line=line01)\n",
    "    ux_2nd = get_macr_values(sim_cfg, \"ux\", is_2nd_order=True, line=line01)\n",
    "    Ix = ((ux_2nd - (ux**2)) / (ux**2)) ** (0.5)\n",
    "\n",
    "    normline = ((line01) - base_height) * height_m_node_lvl0\n",
    "\n",
    "    ax[0].plot(normline[:, 2], ux, label=f\"dist {dist}\")\n",
    "    ax[1].plot(normline[:, 2], Ix, label=f\"dist {dist}\")\n",
    "\n",
    "ax[0].set_ylabel(r\"$u_{x}$\")\n",
    "ax[0].set_xlabel(r\"$x$[m]\")\n",
    "ax[0].set_ylim(0, 0.07)\n",
    "ax[0].set_xlim(0, 200)\n",
    "ax[0].grid()\n",
    "\n",
    "ax[1].set_ylabel(r\"$I_{uu}$\")\n",
    "ax[1].set_xlabel(r\"$x$[m]\")\n",
    "ax[1].legend()\n",
    "ax[1].set_ylim(0, 0.5)\n",
    "ax[1].set_xlim(0, 200)\n",
    "ax[1].grid()\n",
    "\n",
    "plt.show(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It can be seen good agreement from around 15m and above. To improve the results below this height a finer grid to correctly compute the elevated velocity gradient would be necessary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "pitot_position_x = [10, 50, 100]\n",
    "pitot_position_y = [80]\n",
    "pitot_position_z = [10, 50, 100]\n",
    "freq = 1\n",
    "\n",
    "pitot_position_z = [round(z * 0.125 + base_height, 4) for z in pitot_position_z]\n",
    "\n",
    "df_spectrum = []\n",
    "df_points = []\n",
    "\n",
    "for pos in pitot_position_x:\n",
    "    if pos < 100:\n",
    "        df_spectrum_aux, df_points_aux = read_df_spectrum(sim_cfg, f\"velocity_profile_0{pos}\")\n",
    "    else:\n",
    "        df_spectrum_aux, df_points_aux = read_df_spectrum(sim_cfg, f\"velocity_profile_{pos}\")\n",
    "    df_spectrum.append(df_spectrum_aux)\n",
    "    df_points.append(df_points_aux)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 3)\n",
    "fig.set_size_inches(15, 5)\n",
    "i = 0\n",
    "\n",
    "for z in pitot_position_z:\n",
    "    for y in pitot_position_y:\n",
    "        for j, x in enumerate(pitot_position_x):\n",
    "            df_probe_id = df_points[j][\n",
    "                (df_points[j][\"x\"] == x) & (df_points[j][\"y\"] == y) & (df_points[j][\"z\"] == z)\n",
    "            ].astype(str)\n",
    "            df_probe_id.reset_index(inplace=True)\n",
    "            ux_arr = df_spectrum[j][df_probe_id[\"idx\"]]\n",
    "\n",
    "            # L = get_L(z0[int(abl_category)], (z - floor)*scale)/scale\n",
    "            H = z - base_height\n",
    "            nxf, nyf = numerical_spectrum(ux_arr, freq, H)\n",
    "            yf_theo = theoretical_spectrum_x(nxf)\n",
    "            yf_avg = filter_avg_data(nyf)\n",
    "            ax[i].plot(nxf, yf_avg, label=f\"dist {x}\", alpha=0.7)\n",
    "    ax[i].plot(nxf, yf_theo, label=\"Theoretical\")\n",
    "    ax[i].set_title(f\"z={(z-base_height)*height_m_node_lvl0:.1f}m\")\n",
    "    ax[i].set_xscale(\"log\")\n",
    "    ax[i].set_yscale(\"log\")\n",
    "    # ax[i].axis([1e-2, 100, 0.001, 1])\n",
    "    ax[i].set_xlabel(r\"$f(L/u_{\\mathrm{avg}})$\")\n",
    "    i += 1\n",
    "\n",
    "ax[2].legend(loc=\"lower left\")\n",
    "ax[0].set_ylabel(r\"$S_{uu}f/\\sigma_{u}^{2}$\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The spectrum deviates from theoretical peak at 10 meters possibly due to influence of obstacles, a simulation at higher resolution could also change this aspect. Above this height the spectrum tends to follow the theoretical Von Karman curve."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Category III"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To mantain the category III profile from inlet, plates of 6 meters were adopted."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_1919829/561936358.py:24: RuntimeWarning: invalid value encountered in divide\n",
      "  Ix = ((ux_2nd - (ux**2)) / (ux**2)) ** (0.5)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_cfg = sim_cfgs[\"category_3_s4m\", 0]\n",
    "\n",
    "fig, ax = plt.subplots(1, 2)\n",
    "fig.set_size_inches(12, 5)\n",
    "\n",
    "ax[0].plot(\n",
    "    df_eu[\"profile_log_cat3_H150_Uh0.06\"][\"zmeters\"],\n",
    "    df_eu[\"profile_log_cat3_H150_Uh0.06\"][\"ux\"],\n",
    "    \"--k\",\n",
    "    label=\"EU\",\n",
    ")\n",
    "ax[1].plot(\n",
    "    df_eu[\"profile_log_cat3_H150_Uh0.06\"][\"zmeters\"],\n",
    "    df_eu[\"profile_log_cat3_H150_Uh0.06\"][\"Ix\"],\n",
    "    \"--k\",\n",
    "    label=\"EU\",\n",
    ")\n",
    "\n",
    "for dist in [0, 20, 40, 60, 80, 100]:\n",
    "    line01 = get_line_for_probe(sim_cfg, dist)\n",
    "\n",
    "    ux = get_macr_values(sim_cfg, \"ux\", is_2nd_order=False, line=line01)\n",
    "    ux_2nd = get_macr_values(sim_cfg, \"ux\", is_2nd_order=True, line=line01)\n",
    "    Ix = ((ux_2nd - (ux**2)) / (ux**2)) ** (0.5)\n",
    "\n",
    "    normline = ((line01) - base_height) * height_m_node_lvl0\n",
    "\n",
    "    ax[0].plot(normline[:, 2], ux, label=f\"dist {dist}\")\n",
    "    ax[1].plot(normline[:, 2], Ix, label=f\"dist {dist}\")\n",
    "\n",
    "ax[0].set_ylabel(r\"$u_{x}$\")\n",
    "ax[0].set_xlabel(r\"$x$[m]\")\n",
    "ax[0].set_ylim(0, 0.07)\n",
    "ax[0].set_xlim(0, 200)\n",
    "ax[0].grid()\n",
    "\n",
    "ax[1].set_ylabel(r\"$I_{uu}$\")\n",
    "ax[1].set_xlabel(r\"$x$[m]\")\n",
    "ax[1].legend()\n",
    "ax[1].set_ylim(0, 0.5)\n",
    "ax[1].set_xlim(0, 200)\n",
    "ax[1].grid()\n",
    "\n",
    "plt.show(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this case, the turbulence occurs in larger scales and the obstacles are better perceived by the simulation since they occupy more than a single node.The obtained profiles over the domain have excellent agreement with the inlet profile."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "pitot_position_x = [10, 50, 100]\n",
    "pitot_position_y = [80]\n",
    "pitot_position_z = [10, 50, 100]\n",
    "freq = 1\n",
    "\n",
    "pitot_position_z = [round(z * 0.125 + base_height, 4) for z in pitot_position_z]\n",
    "\n",
    "df_spectrum = []\n",
    "df_points = []\n",
    "\n",
    "for pos in pitot_position_x:\n",
    "    if pos < 100:\n",
    "        df_spectrum_aux, df_points_aux = read_df_spectrum(sim_cfg, f\"velocity_profile_0{pos}\")\n",
    "    else:\n",
    "        df_spectrum_aux, df_points_aux = read_df_spectrum(sim_cfg, f\"velocity_profile_{pos}\")\n",
    "    df_spectrum.append(df_spectrum_aux)\n",
    "    df_points.append(df_points_aux)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 3)\n",
    "fig.set_size_inches(15, 5)\n",
    "i = 0\n",
    "\n",
    "for z in pitot_position_z:\n",
    "    for y in pitot_position_y:\n",
    "        for j, x in enumerate(pitot_position_x):\n",
    "            df_probe_id = df_points[j][\n",
    "                (df_points[j][\"x\"] == x) & (df_points[j][\"y\"] == y) & (df_points[j][\"z\"] == z)\n",
    "            ].astype(str)\n",
    "            df_probe_id.reset_index(inplace=True)\n",
    "            ux_arr = df_spectrum[j][df_probe_id[\"idx\"]]\n",
    "\n",
    "            # L = get_L(z0[int(abl_category)], (z - floor)*scale)/scale\n",
    "            H = z - base_height\n",
    "            nxf, nyf = numerical_spectrum(ux_arr, freq, H)\n",
    "            yf_theo = theoretical_spectrum_x(nxf)\n",
    "            yf_avg = filter_avg_data(nyf)\n",
    "            ax[i].plot(nxf, yf_avg, label=f\"dist {x}\", alpha=0.7)\n",
    "    ax[i].plot(nxf, yf_theo, label=\"Theoretical\")\n",
    "    ax[i].set_title(f\"z={(z-base_height)*height_m_node_lvl0:.1f}m\")\n",
    "    ax[i].set_xscale(\"log\")\n",
    "    ax[i].set_yscale(\"log\")\n",
    "    # ax[i].axis([1e-2, 100, 0.001, 1])\n",
    "    ax[i].set_xlabel(r\"$f(L/u_{\\mathrm{avg}})$\")\n",
    "    i += 1\n",
    "\n",
    "ax[2].legend(loc=\"lower left\")\n",
    "ax[0].set_ylabel(r\"$S_{uu}f/\\sigma_{u}^{2}$\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Again, the curve at 10 meters seems to be displaced. In general, the spectrum seems to develop earlier in comparison to the previous categories."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Category IV"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The plates used to maintain the category IV profile were 10 meters high."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_1919829/4068615973.py:24: RuntimeWarning: invalid value encountered in divide\n",
      "  Ix = ((ux_2nd - (ux**2)) / (ux**2)) ** (0.5)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_cfg = sim_cfgs[\"category_4_s4m\", 0]\n",
    "\n",
    "fig, ax = plt.subplots(1, 2)\n",
    "fig.set_size_inches(12, 5)\n",
    "\n",
    "ax[0].plot(\n",
    "    df_eu[\"profile_log_cat4_H150_Uh0.06\"][\"zmeters\"],\n",
    "    df_eu[\"profile_log_cat4_H150_Uh0.06\"][\"ux\"],\n",
    "    \"--k\",\n",
    "    label=\"EU\",\n",
    ")\n",
    "ax[1].plot(\n",
    "    df_eu[\"profile_log_cat4_H150_Uh0.06\"][\"zmeters\"],\n",
    "    df_eu[\"profile_log_cat4_H150_Uh0.06\"][\"Ix\"],\n",
    "    \"--k\",\n",
    "    label=\"EU\",\n",
    ")\n",
    "\n",
    "for dist in [0, 20, 40, 60, 80, 100]:\n",
    "    line01 = get_line_for_probe(sim_cfg, dist)\n",
    "\n",
    "    ux = get_macr_values(sim_cfg, \"ux\", is_2nd_order=False, line=line01)\n",
    "    ux_2nd = get_macr_values(sim_cfg, \"ux\", is_2nd_order=True, line=line01)\n",
    "    Ix = ((ux_2nd - (ux**2)) / (ux**2)) ** (0.5)\n",
    "\n",
    "    normline = ((line01) - base_height) * height_m_node_lvl0\n",
    "\n",
    "    ax[0].plot(normline[:, 2], ux, label=f\"dist {dist}\")\n",
    "    ax[1].plot(normline[:, 2], Ix, label=f\"dist {dist}\")\n",
    "\n",
    "ax[0].set_ylabel(r\"$u_{x}$\")\n",
    "ax[0].set_xlabel(r\"$x$[m]\")\n",
    "ax[0].set_ylim(0, 0.07)\n",
    "ax[0].set_xlim(0, 200)\n",
    "ax[0].grid()\n",
    "\n",
    "ax[1].set_ylabel(r\"$I_{uu}$\")\n",
    "ax[1].set_xlabel(r\"$x$[m]\")\n",
    "ax[1].legend()\n",
    "ax[1].set_ylim(0, 0.5)\n",
    "ax[1].set_xlim(0, 200)\n",
    "ax[1].grid()\n",
    "\n",
    "plt.show(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Excellent agreement between the developed profile and the EU standard for the category IV was obtained."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "pitot_position_x = [10, 50, 100]\n",
    "pitot_position_y = [80]\n",
    "pitot_position_z = [10, 50, 100]\n",
    "freq = 1\n",
    "\n",
    "pitot_position_z = [round(z * 0.125 + base_height, 4) for z in pitot_position_z]\n",
    "\n",
    "df_spectrum = []\n",
    "df_points = []\n",
    "\n",
    "for pos in pitot_position_x:\n",
    "    if pos < 100:\n",
    "        df_spectrum_aux, df_points_aux = read_df_spectrum(sim_cfg, f\"velocity_profile_0{pos}\")\n",
    "    else:\n",
    "        df_spectrum_aux, df_points_aux = read_df_spectrum(sim_cfg, f\"velocity_profile_{pos}\")\n",
    "    df_spectrum.append(df_spectrum_aux)\n",
    "    df_points.append(df_points_aux)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 3)\n",
    "fig.set_size_inches(15, 5)\n",
    "i = 0\n",
    "\n",
    "for z in pitot_position_z:\n",
    "    for y in pitot_position_y:\n",
    "        for j, x in enumerate(pitot_position_x):\n",
    "            df_probe_id = df_points[j][\n",
    "                (df_points[j][\"x\"] == x) & (df_points[j][\"y\"] == y) & (df_points[j][\"z\"] == z)\n",
    "            ].astype(str)\n",
    "            df_probe_id.reset_index(inplace=True)\n",
    "            ux_arr = df_spectrum[j][df_probe_id[\"idx\"]]\n",
    "\n",
    "            # L = get_L(z0[int(abl_category)], (z - floor)*scale)/scale\n",
    "            H = z - base_height\n",
    "            nxf, nyf = numerical_spectrum(ux_arr, freq, H)\n",
    "            yf_theo = theoretical_spectrum_x(nxf)\n",
    "            yf_avg = filter_avg_data(nyf)\n",
    "            ax[i].plot(nxf, yf_avg, label=f\"dist {x}\", alpha=0.7)\n",
    "    ax[i].plot(nxf, yf_theo, label=\"Theoretical\")\n",
    "    ax[i].set_title(f\"z={(z-base_height)*height_m_node_lvl0:.1f}m\")\n",
    "    ax[i].set_xscale(\"log\")\n",
    "    ax[i].set_yscale(\"log\")\n",
    "    # ax[i].axis([1e-2, 100, 0.001, 1])\n",
    "    ax[i].set_xlabel(r\"$f(L/u_{\\mathrm{avg}})$\")\n",
    "    i += 1\n",
    "\n",
    "ax[2].legend(loc=\"lower left\")\n",
    "ax[0].set_ylabel(r\"$S_{uu}f/\\sigma_{u}^{2}$\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this case the spectrum seems to develop even earlier in comparison to previous simulations."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Version: 1.6.37\n",
      "Commit hash: 67ce72872e724462ecaf5704e9d6fc3cb25d36fb\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)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Configuration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
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       ".output_html .na { color: #687822 } /* Name.Attribute */\n",
       ".output_html .nb { color: #008000 } /* Name.Builtin */\n",
       ".output_html .nc { color: #00F; font-weight: bold } /* Name.Class */\n",
       ".output_html .no { color: #800 } /* Name.Constant */\n",
       ".output_html .nd { color: #A2F } /* Name.Decorator */\n",
       ".output_html .ni { color: #717171; font-weight: bold } /* Name.Entity */\n",
       ".output_html .ne { color: #CB3F38; font-weight: bold } /* Name.Exception */\n",
       ".output_html .nf { color: #00F } /* Name.Function */\n",
       ".output_html .nl { color: #767600 } /* Name.Label */\n",
       ".output_html .nn { color: #00F; font-weight: bold } /* Name.Namespace */\n",
       ".output_html .nt { color: #008000; font-weight: bold } /* Name.Tag */\n",
       ".output_html .nv { color: #19177C } /* Name.Variable */\n",
       ".output_html .ow { color: #A2F; font-weight: bold } /* Operator.Word */\n",
       ".output_html .w { color: #BBB } /* Text.Whitespace */\n",
       ".output_html .mb { color: #666 } /* Literal.Number.Bin */\n",
       ".output_html .mf { color: #666 } /* Literal.Number.Float */\n",
       ".output_html .mh { color: #666 } /* Literal.Number.Hex */\n",
       ".output_html .mi { color: #666 } /* Literal.Number.Integer */\n",
       ".output_html .mo { color: #666 } /* Literal.Number.Oct */\n",
       ".output_html .sa { color: #BA2121 } /* Literal.String.Affix */\n",
       ".output_html .sb { color: #BA2121 } /* Literal.String.Backtick */\n",
       ".output_html .sc { color: #BA2121 } /* Literal.String.Char */\n",
       ".output_html .dl { color: #BA2121 } /* Literal.String.Delimiter */\n",
       ".output_html .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\n",
       ".output_html .s2 { color: #BA2121 } /* Literal.String.Double */\n",
       ".output_html .se { color: #AA5D1F; font-weight: bold } /* Literal.String.Escape */\n",
       ".output_html .sh { color: #BA2121 } /* Literal.String.Heredoc */\n",
       ".output_html .si { color: #A45A77; font-weight: bold } /* Literal.String.Interpol */\n",
       ".output_html .sx { color: #008000 } /* Literal.String.Other */\n",
       ".output_html .sr { color: #A45A77 } /* Literal.String.Regex */\n",
       ".output_html .s1 { color: #BA2121 } /* Literal.String.Single */\n",
       ".output_html .ss { color: #19177C } /* Literal.String.Symbol */\n",
       ".output_html .bp { color: #008000 } /* Name.Builtin.Pseudo */\n",
       ".output_html .fm { color: #00F } /* Name.Function.Magic */\n",
       ".output_html .vc { color: #19177C } /* Name.Variable.Class */\n",
       ".output_html .vg { color: #19177C } /* Name.Variable.Global */\n",
       ".output_html .vi { color: #19177C } /* Name.Variable.Instance */\n",
       ".output_html .vm { color: #19177C } /* Name.Variable.Magic */\n",
       ".output_html .il { color: #666 } /* Literal.Number.Integer.Long */</style><div class=\"highlight\"><pre><span></span><span class=\"nt\">variables</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">  </span><span class=\"nt\">simul</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">dev_time</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">10000</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">stats_time</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">60000</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">scale</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">1/8</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">plane_height</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">5.01</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">sigma_sem</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">20</span>\n",
       "<span class=\"w\">  </span><span class=\"nt\">domain</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">length</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">600</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">width</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">160</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">height</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">112</span>\n",
       "<span class=\"w\">  </span><span class=\"nt\">refine</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"nl\">&amp;ANCHOR_VOLUMES_REFINE</span>\n",
       "<span class=\"w\">    </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"nt\">start</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">0.0</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">55.0</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">0.0</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">end</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">336.0</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">105.0</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">32.0</span><span class=\"p p-Indicator\">]</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\">1</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">is_abs</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\">var</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">15m_height</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">${simul.plane_height} + (15 * ${simul.scale})</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">150m_height</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">${simul.plane_height} + (150 * ${simul.scale})</span>\n",
       "\n",
       "<span class=\"c1\">## Same variables to dependencies</span>\n",
       "\n",
       "<span class=\"nt\">simulations</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">  </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"nt\">name</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">category_0_s4m</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">save_path</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">./tests/validation/results/06_atmospheric_flow</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">run_simul</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">true</span>\n",
       "\n",
       "<span class=\"w\">    </span><span class=\"nt\">n_steps</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.dev_time}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">${simul.stats_time}&quot;</span>\n",
       "\n",
       "<span class=\"w\">    </span><span class=\"nt\">report</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">frequency</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">500</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">checkpoint</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">export</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">interval</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">{</span><span class=\"nt\"> frequency</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"nv\">10000</span><span class=\"p p-Indicator\">,</span><span class=\"nt\"> start_step</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.dev_time}&quot;</span><span class=\"w\"> </span><span class=\"p p-Indicator\">}</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">finish_save</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\">keep_only_last_checkpoint</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\">data</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">divergence</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\">1</span><span class=\"w\"> </span><span class=\"p p-Indicator\">}</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">monitors</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">fields</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">macrs_stats</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\">stats</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">min</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">max</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">mean</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\"> start_step</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"nv\">0</span><span class=\"p p-Indicator\">,</span><span class=\"nt\"> frequency</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"nv\">10</span><span class=\"w\"> </span><span class=\"p p-Indicator\">}</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">instantaneous</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">full_domain</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">{</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\">0</span><span class=\"w\"> </span><span class=\"p p-Indicator\">},</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><span class=\"w\"> </span><span class=\"p p-Indicator\">}</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">statistics</span><span class=\"p\">:</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\">10</span><span class=\"p p-Indicator\">,</span><span class=\"nt\"> start_step</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!sub</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.dev_time}&quot;</span><span class=\"w\"> </span><span class=\"p p-Indicator\">}</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">macrs_1st_order</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\">macrs_2nd_order</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">u</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">exports</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">full_stats</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">{</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\">0</span><span class=\"w\"> </span><span class=\"p p-Indicator\">}</span><span class=\"w\"> </span><span class=\"p p-Indicator\">}</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">probes</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">historic_series</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">velocity</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=\"s\">&quot;u&quot;</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\">2</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><span class=\"nt\"> start_step</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!sub</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.dev_time}&quot;</span><span class=\"w\"> </span><span class=\"p p-Indicator\">}</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">lines</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">velocity_profile_000</span><span class=\"p\">:</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\">0.0625</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">0</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">0</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">64&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">velocity_profile_010</span><span class=\"p\">:</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\">0.0625</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">10</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">10</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">64&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">velocity_profile_020</span><span class=\"p\">:</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\">0.0625</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">20</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">20</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">64&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">velocity_profile_030</span><span class=\"p\">:</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\">0.0625</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">30</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">30</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">64&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">velocity_profile_040</span><span class=\"p\">:</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\">0.0625</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">40</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">40</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">64&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">velocity_profile_050</span><span class=\"p\">:</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\">0.0625</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">50</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">50</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">64&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">velocity_profile_060</span><span class=\"p\">:</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\">0.0625</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">60</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">60</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">64&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">velocity_profile_070</span><span class=\"p\">:</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\">0.0625</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">70</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">70</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">64&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">velocity_profile_080</span><span class=\"p\">:</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\">0.0625</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">80</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">80</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">64&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">velocity_profile_090</span><span class=\"p\">:</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\">0.0625</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">90</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">90</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">64&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">velocity_profile_100</span><span class=\"p\">:</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\">0.0625</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">100</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                  </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">100</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">64&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">velocity_profile_110</span><span class=\"p\">:</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\">0.0625</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">110</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                  </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">110</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">64&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">velocity_profile_120</span><span class=\"p\">:</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\">0.0625</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">120</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                  </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">120</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">64&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">velocity_profile_130</span><span class=\"p\">:</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\">0.0625</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">130</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                  </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">130</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">64&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">velocity_profile_140</span><span class=\"p\">:</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\">0.0625</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">140</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                  </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">140</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">64&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">velocity_profile_150</span><span class=\"p\">:</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\">0.0625</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">150</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                  </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">150</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">64&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">velocity_profile_160</span><span class=\"p\">:</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\">0.0625</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">160</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                  </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">160</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">64&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">velocity_profile_170</span><span class=\"p\">:</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\">0.0625</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">170</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                  </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">170</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">64&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">velocity_profile_180</span><span class=\"p\">:</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\">0.0625</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">180</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                  </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">180</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">64&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">velocity_profile_190</span><span class=\"p\">:</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\">0.0625</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">190</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                  </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">190</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">64&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">velocity_profile_200</span><span class=\"p\">:</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\">0.0625</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">200</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                  </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">200</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">64&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">velocity_profile_210</span><span class=\"p\">:</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\">0.0625</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">210</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                  </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">210</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">64&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">long_profile_15m</span><span class=\"p\">:</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\">0.125</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                  </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span>\n",
       "<span class=\"w\">                    </span><span class=\"nv\">0</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">                    </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">                    </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">${var.15m_height}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">                  </span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                  </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span>\n",
       "<span class=\"w\">                    </span><span class=\"nv\">300</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">                    </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">                    </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">${var.15m_height}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">                  </span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">long_profile_150m</span><span class=\"p\">:</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\">0.125</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">start_pos</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                  </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span>\n",
       "<span class=\"w\">                    </span><span class=\"nv\">0</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">                    </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">                    </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">${var.150m_height}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">                  </span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end_pos</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                  </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span>\n",
       "<span class=\"w\">                    </span><span class=\"nv\">300</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">                    </span><span class=\"s\">&quot;0.5*${domain.width}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">                    </span><span class=\"s\">&quot;${simul.plane_height}</span><span class=\"nv\"> </span><span class=\"s\">+</span><span class=\"nv\"> </span><span class=\"s\">${var.150m_height}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">                  </span><span class=\"p p-Indicator\">]</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=\"kt\">!sub</span><span class=\"w\"> </span><span class=\"s\">&quot;${domain.length}&quot;</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">y</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!sub</span><span class=\"w\"> </span><span class=\"s\">&quot;${domain.width}&quot;</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">z</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"s\">&quot;${domain.height}&quot;</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\">full_plane</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">IBM</span><span class=\"p\">:</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\">0</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">cfg_use</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">plane_cfg</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">lnas_path</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">fixture/lnas/wind_tunnel/full_plane.lnas</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">small_triangles</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">add</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">global_transformations</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"nt\">transformation</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">translation</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">0</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">0</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">point_clouds_apply</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[]</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">bodies_apply</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"s\">&quot;full_plane&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">probes_apply</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[]</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">refinement</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">static</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">lvl1</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">volumes_refine</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"nv\">*ANCHOR_VOLUMES_REFINE</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",
       "<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\">0.50001</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\">0</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=\"nt\">rho</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">1.0</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">u</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\">0.05</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\">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",
       "<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\">false</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\">E</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\">RegularizedNeumannOutlet</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">rho</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">1.0</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\">E</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",
       "<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\">Neumann</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\">1</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\">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\">1</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\">Neumann</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\">0</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\">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\">Neumann</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\">0</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">SEM</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">eddies</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">lengthscale</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">              </span><span class=\"p p-Indicator\">{</span>\n",
       "<span class=\"nt\">                x</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!sub</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.sigma_sem}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"nt\">                y</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!sub</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.sigma_sem}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"nt\">                z</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!sub</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.sigma_sem}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">              </span><span class=\"p p-Indicator\">}</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">eddies_vol_density</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">300</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">domain_limits_yz</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">start</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"s\">&quot;${simul.sigma_sem}&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;-${simul.sigma_sem}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">end</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span>\n",
       "<span class=\"w\">                  </span><span class=\"s\">&quot;${domain.width}-${simul.sigma_sem}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">                  </span><span class=\"s\">&quot;${domain.height}-${simul.sigma_sem}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
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       "<span class=\"w\">            </span><span class=\"nt\">csv_profile_data</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"s\">&quot;./fixture/SEM/category_vprofile/profile_log_cat0_H150_Uh0.06.csv&quot;</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">z_offset</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">length_mul</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.scale}&quot;</span>\n",
       "\n",
       "<span class=\"w\">      </span><span class=\"nt\">LES</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">model</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">Smagorinsky</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">sgs_cte</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">0.17</span>\n",
       "\n",
       "<span class=\"w\">      </span><span class=\"nt\">IBM</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">dirac_delta</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">3_points</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\">500</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>\n",
       "<span class=\"w\">            </span><span class=\"nt\">n_iterations</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">3</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">forces_factor</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">1.0</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">plane_cfg</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">n_iterations</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">3</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">forces_factor</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">0.5</span>\n",
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       "<span class=\"w\">            </span><span class=\"nt\">wall_model</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\">EqLog</span>\n",
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       "<span class=\"w\">              </span><span class=\"nt\">dist_shell</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">0.125</span>\n",
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       "<span class=\"w\">              </span><span class=\"nt\">params</span><span class=\"p\">:</span>\n",
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       "<span class=\"w\">                </span><span class=\"nt\">TDMA_max_iters</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">10</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">TDMA_max_div</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">25</span>\n",
       "\n",
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       "\n",
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       "<span class=\"w\">      </span><span class=\"nt\">bodies</span><span class=\"p\">:</span>\n",
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       "<span class=\"w\">            </span><span class=\"nt\">body_transformed</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">              </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"nt\">start</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">10</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">20</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">0</span><span class=\"p p-Indicator\">]</span>\n",
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       "<span class=\"w\">          </span><span class=\"nt\">small_triangles</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">add</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">transformation</span><span class=\"p\">:</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\">0</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">1</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">0</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">scale</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span>\n",
       "<span class=\"w\">                </span><span class=\"s\">&quot;64.0*${simul.scale}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">                </span><span class=\"s\">&quot;64.0*${simul.scale}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
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       "<span class=\"w\">              </span><span class=\"p p-Indicator\">]</span><span class=\"w\"> </span><span class=\"c1\">#1m</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">global_transformations</span><span class=\"p\">:</span>\n",
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       "<span class=\"w\">            </span><span class=\"nt\">translation</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">0</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">0</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">point_clouds_apply</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[]</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">bodies_apply</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"s\">&quot;full_plane&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;plates_obstacles&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">probes_apply</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[]</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">models</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">IBM</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">body_cfgs</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">plane_cfg</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">wall_model</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">params</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">z0</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"s\">&quot;0.01*${simul.scale}&quot;</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">BC</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">SEM</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">profile</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">csv_profile_data</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"s\">&quot;./fixture/SEM/category_vprofile/profile_log_cat1_H150_Uh0.06.csv&quot;</span>\n",
       "\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\">category_2_s4m</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">parent</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">category_0_s4m</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">run_simul</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\">domain</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">bodies</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">plates_obstacles</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">IBM</span><span class=\"p\">:</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",
       "<span class=\"w\">          </span><span class=\"nt\">lnas_path</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">fixture/lnas/wind_tunnel/category_II/plates_Nx160Ny70_6x2_spacing16x32_offset19y.lnas</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">volumes_limits</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">body_transformed</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">              </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"nt\">start</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">10</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">20</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">0</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">300</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${domain.width}</span><span class=\"nv\"> </span><span class=\"s\">-</span><span class=\"nv\"> </span><span class=\"s\">20&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${domain.height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">small_triangles</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">add</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">transformation</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">translation</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">0</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">1</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">0</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">scale</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span>\n",
       "<span class=\"w\">                </span><span class=\"s\">&quot;64.0*${simul.scale}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">                </span><span class=\"s\">&quot;64.0*${simul.scale}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">                </span><span class=\"s\">&quot;32.0*${simul.scale}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
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       "<span class=\"w\">      </span><span class=\"nt\">global_transformations</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"nt\">transformation</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!not-inherit</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">translation</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">0</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">0</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">point_clouds_apply</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[]</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">bodies_apply</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"s\">&quot;full_plane&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;plates_obstacles&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">probes_apply</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[]</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">models</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">IBM</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">body_cfgs</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">plane_cfg</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">wall_model</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">params</span><span class=\"p\">:</span>\n",
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       "<span class=\"w\">      </span><span class=\"nt\">BC</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">SEM</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">profile</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">csv_profile_data</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"s\">&quot;./fixture/SEM/category_vprofile/profile_log_cat2_H150_Uh0.06.csv&quot;</span>\n",
       "\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\">category_3_s4m</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">parent</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">category_0_s4m</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">run_simul</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\">domain</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">bodies</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">plates_obstacles</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">IBM</span><span class=\"p\">:</span>\n",
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       "<span class=\"w\">          </span><span class=\"nt\">lnas_path</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">fixture/lnas/wind_tunnel/category_II/plates_Nx160Ny70_6x2_spacing16x32_offset19y.lnas</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">volumes_limits</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">body_transformed</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">              </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"nt\">start</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">10</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">20</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">0</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">300</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${domain.width}</span><span class=\"nv\"> </span><span class=\"s\">-</span><span class=\"nv\"> </span><span class=\"s\">20&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${domain.height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">small_triangles</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">add</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">transformation</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">translation</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">0</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">1</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">0</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">scale</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span>\n",
       "<span class=\"w\">                </span><span class=\"s\">&quot;64.0*${simul.scale}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">                </span><span class=\"s\">&quot;64.0*${simul.scale}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">                </span><span class=\"s\">&quot;3*32.0*${simul.scale}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">              </span><span class=\"p p-Indicator\">]</span><span class=\"w\"> </span><span class=\"c1\">#6m</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">global_transformations</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"nt\">transformation</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!not-inherit</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">translation</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">0</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">0</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">point_clouds_apply</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[]</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">bodies_apply</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"s\">&quot;full_plane&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;plates_obstacles&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">probes_apply</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[]</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">models</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">IBM</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">body_cfgs</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">plane_cfg</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">wall_model</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">params</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">z0</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"s\">&quot;0.3*${simul.scale}&quot;</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">BC</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">SEM</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">profile</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">csv_profile_data</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"s\">&quot;./fixture/SEM/category_vprofile/profile_log_cat3_H150_Uh0.06.csv&quot;</span>\n",
       "\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\">category_4_s4m</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">parent</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">category_0_s4m</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">run_simul</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\">domain</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">bodies</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">plates_obstacles</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">IBM</span><span class=\"p\">:</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",
       "<span class=\"w\">          </span><span class=\"nt\">lnas_path</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">fixture/lnas/wind_tunnel/category_II/plates_Nx160Ny70_6x2_spacing16x32_offset19y.lnas</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">volumes_limits</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">body_transformed</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">              </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"nt\">start</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">10</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">20</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">0</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">end</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">300</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${domain.width}</span><span class=\"nv\"> </span><span class=\"s\">-</span><span class=\"nv\"> </span><span class=\"s\">20&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${domain.height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">small_triangles</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">add</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">transformation</span><span class=\"p\">:</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\">0</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">1</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">0</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">scale</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span>\n",
       "<span class=\"w\">                </span><span class=\"s\">&quot;64.0*${simul.scale}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">                </span><span class=\"s\">&quot;64.0*${simul.scale}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">                </span><span class=\"s\">&quot;5.0*32.0*${simul.scale}&quot;</span><span class=\"p p-Indicator\">,</span>\n",
       "<span class=\"w\">              </span><span class=\"p p-Indicator\">]</span><span class=\"w\"> </span><span class=\"c1\"># 10m</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">global_transformations</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"nt\">transformation</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!not-inherit</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">translation</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">0</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">0</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;${simul.plane_height}&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">point_clouds_apply</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[]</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">bodies_apply</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"s\">&quot;full_plane&quot;</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"s\">&quot;plates_obstacles&quot;</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">probes_apply</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[]</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">models</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">IBM</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">body_cfgs</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">plane_cfg</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">wall_model</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">params</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">                </span><span class=\"nt\">z0</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!math</span><span class=\"w\"> </span><span class=\"s\">&quot;1.0*${simul.scale}&quot;</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">BC</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">SEM</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">profile</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">csv_profile_data</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"s\">&quot;./fixture/SEM/category_vprofile/profile_log_cat4_H150_Uh0.06.csv&quot;</span>\n",
       "</pre></div>\n"
      ],
      "text/latex": [
       "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n",
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       "\n",
       "\\PY{c+c1}{\\PYZsh{}\\PYZsh{} Same variables to dependencies}\n",
       "\n",
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       "\\PY{+w}{    }\\PY{n+nt}{save\\PYZus{}path}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{./tests/validation/results/06\\PYZus{}atmospheric\\PYZus{}flow}\n",
       "\\PY{+w}{    }\\PY{n+nt}{run\\PYZus{}simul}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{true}\n",
       "\n",
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       "\n",
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       "\n",
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       "\\PY{+w}{    }\\PY{n+nt}{models}\\PY{p}{:}\n",
       "\\PY{+w}{      }\\PY{n+nt}{IBM}\\PY{p}{:}\n",
       "\\PY{+w}{        }\\PY{n+nt}{body\\PYZus{}cfgs}\\PY{p}{:}\n",
       "\\PY{+w}{          }\\PY{n+nt}{plane\\PYZus{}cfg}\\PY{p}{:}\n",
       "\\PY{+w}{            }\\PY{n+nt}{wall\\PYZus{}model}\\PY{p}{:}\n",
       "\\PY{+w}{              }\\PY{n+nt}{params}\\PY{p}{:}\n",
       "\\PY{+w}{                }\\PY{n+nt}{z0}\\PY{p}{:}\\PY{+w}{ }\\PY{k+kt}{!math}\\PY{+w}{ }\\PY{l+s}{\\PYZdq{}}\\PY{l+s}{1.0*\\PYZdl{}\\PYZob{}simul.scale\\PYZcb{}}\\PY{l+s}{\\PYZdq{}}\n",
       "\\PY{+w}{      }\\PY{n+nt}{BC}\\PY{p}{:}\n",
       "\\PY{+w}{        }\\PY{n+nt}{SEM}\\PY{p}{:}\n",
       "\\PY{+w}{          }\\PY{n+nt}{profile}\\PY{p}{:}\n",
       "\\PY{+w}{            }\\PY{n+nt}{csv\\PYZus{}profile\\PYZus{}data}\\PY{p}{:}\\PY{+w}{ }\\PY{l+s}{\\PYZdq{}}\\PY{l+s}{./fixture/SEM/category\\PYZus{}vprofile/profile\\PYZus{}log\\PYZus{}cat4\\PYZus{}H150\\PYZus{}Uh0.06.csv}\\PY{l+s}{\\PYZdq{}}\n",
       "\\end{Verbatim}\n"
      ],
      "text/plain": [
       "variables:\n",
       "  simul:\n",
       "    dev_time: 10000\n",
       "    stats_time: 60000\n",
       "    scale: !math 1/8\n",
       "    plane_height: 5.01\n",
       "    sigma_sem: 20\n",
       "  domain:\n",
       "    length: 600\n",
       "    width: 160\n",
       "    height: 112\n",
       "  refine: &ANCHOR_VOLUMES_REFINE\n",
       "    - start: [0.0, 55.0, 0.0]\n",
       "      end: [336.0, 105.0, 32.0]\n",
       "      lvl: 1\n",
       "      is_abs: true\n",
       "  var:\n",
       "    15m_height: !math ${simul.plane_height} + (15 * ${simul.scale})\n",
       "    150m_height: !math ${simul.plane_height} + (150 * ${simul.scale})\n",
       "\n",
       "## Same variables to dependencies\n",
       "\n",
       "simulations:\n",
       "  - name: category_0_s4m\n",
       "    save_path: ./tests/validation/results/06_atmospheric_flow\n",
       "    run_simul: true\n",
       "\n",
       "    n_steps: !math \"${simul.dev_time} + ${simul.stats_time}\"\n",
       "\n",
       "    report:\n",
       "      frequency: 500\n",
       "    checkpoint:\n",
       "      export:\n",
       "        interval: { frequency: 10000, start_step: !math \"${simul.dev_time}\" }\n",
       "        finish_save: true\n",
       "        keep_only_last_checkpoint: true\n",
       "\n",
       "    data:\n",
       "      divergence: { frequency: 1 }\n",
       "      monitors:\n",
       "        fields:\n",
       "          macrs_stats:\n",
       "            macrs: [rho, u]\n",
       "            stats: [min, max, mean]\n",
       "            interval: { start_step: 0, frequency: 10 }\n",
       "      instantaneous:\n",
       "        full_domain: { interval: { frequency: 0 }, macrs: [rho, u] }\n",
       "      statistics:\n",
       "        interval: { frequency: 10, start_step: !sub \"${simul.dev_time}\" }\n",
       "        macrs_1st_order: [rho, u]\n",
       "        macrs_2nd_order: [u]\n",
       "        exports:\n",
       "          full_stats: { interval: { frequency: 0 } }\n",
       "      probes:\n",
       "        historic_series:\n",
       "          velocity:\n",
       "            macrs: [\"u\"]\n",
       "            interval: { frequency: 2, lvl: 0, start_step: !sub \"${simul.dev_time}\" }\n",
       "            lines:\n",
       "              velocity_profile_000:\n",
       "                dist: 0.0625\n",
       "                start_pos: !math [0, \"0.5*${domain.width}\", \"${simul.plane_height}\"]\n",
       "                end_pos: !math [0, \"0.5*${domain.width}\", \"${simul.plane_height} + 64\"]\n",
       "              velocity_profile_010:\n",
       "                dist: 0.0625\n",
       "                start_pos: !math [10, \"0.5*${domain.width}\", \"${simul.plane_height}\"]\n",
       "                end_pos: !math [10, \"0.5*${domain.width}\", \"${simul.plane_height} + 64\"]\n",
       "              velocity_profile_020:\n",
       "                dist: 0.0625\n",
       "                start_pos: !math [20, \"0.5*${domain.width}\", \"${simul.plane_height}\"]\n",
       "                end_pos: !math [20, \"0.5*${domain.width}\", \"${simul.plane_height} + 64\"]\n",
       "              velocity_profile_030:\n",
       "                dist: 0.0625\n",
       "                start_pos: !math [30, \"0.5*${domain.width}\", \"${simul.plane_height}\"]\n",
       "                end_pos: !math [30, \"0.5*${domain.width}\", \"${simul.plane_height} + 64\"]\n",
       "              velocity_profile_040:\n",
       "                dist: 0.0625\n",
       "                start_pos: !math [40, \"0.5*${domain.width}\", \"${simul.plane_height}\"]\n",
       "                end_pos: !math [40, \"0.5*${domain.width}\", \"${simul.plane_height} + 64\"]\n",
       "              velocity_profile_050:\n",
       "                dist: 0.0625\n",
       "                start_pos: !math [50, \"0.5*${domain.width}\", \"${simul.plane_height}\"]\n",
       "                end_pos: !math [50, \"0.5*${domain.width}\", \"${simul.plane_height} + 64\"]\n",
       "              velocity_profile_060:\n",
       "                dist: 0.0625\n",
       "                start_pos: !math [60, \"0.5*${domain.width}\", \"${simul.plane_height}\"]\n",
       "                end_pos: !math [60, \"0.5*${domain.width}\", \"${simul.plane_height} + 64\"]\n",
       "              velocity_profile_070:\n",
       "                dist: 0.0625\n",
       "                start_pos: !math [70, \"0.5*${domain.width}\", \"${simul.plane_height}\"]\n",
       "                end_pos: !math [70, \"0.5*${domain.width}\", \"${simul.plane_height} + 64\"]\n",
       "              velocity_profile_080:\n",
       "                dist: 0.0625\n",
       "                start_pos: !math [80, \"0.5*${domain.width}\", \"${simul.plane_height}\"]\n",
       "                end_pos: !math [80, \"0.5*${domain.width}\", \"${simul.plane_height} + 64\"]\n",
       "              velocity_profile_090:\n",
       "                dist: 0.0625\n",
       "                start_pos: !math [90, \"0.5*${domain.width}\", \"${simul.plane_height}\"]\n",
       "                end_pos: !math [90, \"0.5*${domain.width}\", \"${simul.plane_height} + 64\"]\n",
       "              velocity_profile_100:\n",
       "                dist: 0.0625\n",
       "                start_pos: !math [100, \"0.5*${domain.width}\", \"${simul.plane_height}\"]\n",
       "                end_pos:\n",
       "                  !math [100, \"0.5*${domain.width}\", \"${simul.plane_height} + 64\"]\n",
       "              velocity_profile_110:\n",
       "                dist: 0.0625\n",
       "                start_pos: !math [110, \"0.5*${domain.width}\", \"${simul.plane_height}\"]\n",
       "                end_pos:\n",
       "                  !math [110, \"0.5*${domain.width}\", \"${simul.plane_height} + 64\"]\n",
       "              velocity_profile_120:\n",
       "                dist: 0.0625\n",
       "                start_pos: !math [120, \"0.5*${domain.width}\", \"${simul.plane_height}\"]\n",
       "                end_pos:\n",
       "                  !math [120, \"0.5*${domain.width}\", \"${simul.plane_height} + 64\"]\n",
       "              velocity_profile_130:\n",
       "                dist: 0.0625\n",
       "                start_pos: !math [130, \"0.5*${domain.width}\", \"${simul.plane_height}\"]\n",
       "                end_pos:\n",
       "                  !math [130, \"0.5*${domain.width}\", \"${simul.plane_height} + 64\"]\n",
       "              velocity_profile_140:\n",
       "                dist: 0.0625\n",
       "                start_pos: !math [140, \"0.5*${domain.width}\", \"${simul.plane_height}\"]\n",
       "                end_pos:\n",
       "                  !math [140, \"0.5*${domain.width}\", \"${simul.plane_height} + 64\"]\n",
       "              velocity_profile_150:\n",
       "                dist: 0.0625\n",
       "                start_pos: !math [150, \"0.5*${domain.width}\", \"${simul.plane_height}\"]\n",
       "                end_pos:\n",
       "                  !math [150, \"0.5*${domain.width}\", \"${simul.plane_height} + 64\"]\n",
       "              velocity_profile_160:\n",
       "                dist: 0.0625\n",
       "                start_pos: !math [160, \"0.5*${domain.width}\", \"${simul.plane_height}\"]\n",
       "                end_pos:\n",
       "                  !math [160, \"0.5*${domain.width}\", \"${simul.plane_height} + 64\"]\n",
       "              velocity_profile_170:\n",
       "                dist: 0.0625\n",
       "                start_pos: !math [170, \"0.5*${domain.width}\", \"${simul.plane_height}\"]\n",
       "                end_pos:\n",
       "                  !math [170, \"0.5*${domain.width}\", \"${simul.plane_height} + 64\"]\n",
       "              velocity_profile_180:\n",
       "                dist: 0.0625\n",
       "                start_pos: !math [180, \"0.5*${domain.width}\", \"${simul.plane_height}\"]\n",
       "                end_pos:\n",
       "                  !math [180, \"0.5*${domain.width}\", \"${simul.plane_height} + 64\"]\n",
       "              velocity_profile_190:\n",
       "                dist: 0.0625\n",
       "                start_pos: !math [190, \"0.5*${domain.width}\", \"${simul.plane_height}\"]\n",
       "                end_pos:\n",
       "                  !math [190, \"0.5*${domain.width}\", \"${simul.plane_height} + 64\"]\n",
       "              velocity_profile_200:\n",
       "                dist: 0.0625\n",
       "                start_pos: !math [200, \"0.5*${domain.width}\", \"${simul.plane_height}\"]\n",
       "                end_pos:\n",
       "                  !math [200, \"0.5*${domain.width}\", \"${simul.plane_height} + 64\"]\n",
       "              velocity_profile_210:\n",
       "                dist: 0.0625\n",
       "                start_pos: !math [210, \"0.5*${domain.width}\", \"${simul.plane_height}\"]\n",
       "                end_pos:\n",
       "                  !math [210, \"0.5*${domain.width}\", \"${simul.plane_height} + 64\"]\n",
       "              long_profile_15m:\n",
       "                dist: 0.125\n",
       "                start_pos:\n",
       "                  !math [\n",
       "                    0,\n",
       "                    \"0.5*${domain.width}\",\n",
       "                    \"${simul.plane_height} + ${var.15m_height}\",\n",
       "                  ]\n",
       "                end_pos:\n",
       "                  !math [\n",
       "                    300,\n",
       "                    \"0.5*${domain.width}\",\n",
       "                    \"${simul.plane_height} + ${var.15m_height}\",\n",
       "                  ]\n",
       "              long_profile_150m:\n",
       "                dist: 0.125\n",
       "                start_pos:\n",
       "                  !math [\n",
       "                    0,\n",
       "                    \"0.5*${domain.width}\",\n",
       "                    \"${simul.plane_height} + ${var.150m_height}\",\n",
       "                  ]\n",
       "                end_pos:\n",
       "                  !math [\n",
       "                    300,\n",
       "                    \"0.5*${domain.width}\",\n",
       "                    \"${simul.plane_height} + ${var.150m_height}\",\n",
       "                  ]\n",
       "\n",
       "    domain:\n",
       "      domain_size:\n",
       "        x: !sub \"${domain.length}\"\n",
       "        y: !sub \"${domain.width}\"\n",
       "        z: !math \"${domain.height}\"\n",
       "      block_size: 8\n",
       "      bodies:\n",
       "        full_plane:\n",
       "          IBM:\n",
       "            order: 0\n",
       "            cfg_use: plane_cfg\n",
       "          lnas_path: fixture/lnas/wind_tunnel/full_plane.lnas\n",
       "          small_triangles: add\n",
       "      global_transformations:\n",
       "        - transformation:\n",
       "            translation: !math [0, 0, \"${simul.plane_height}\"]\n",
       "          point_clouds_apply: []\n",
       "          bodies_apply: [\"full_plane\"]\n",
       "          probes_apply: []\n",
       "      refinement:\n",
       "        static:\n",
       "          lvl1:\n",
       "            volumes_refine: *ANCHOR_VOLUMES_REFINE\n",
       "\n",
       "    models:\n",
       "      precision:\n",
       "        default: single\n",
       "      LBM:\n",
       "        tau: 0.50001\n",
       "        F:\n",
       "          x: 0\n",
       "          y: 0\n",
       "          z: 0\n",
       "        vel_set: D3Q27\n",
       "        coll_oper: RRBGK\n",
       "      initialization:\n",
       "        rho: 1.0\n",
       "        u:\n",
       "          x: 0.05\n",
       "          y: 0\n",
       "          z: 0\n",
       "      engine:\n",
       "        name: CUDA\n",
       "      BC:\n",
       "        periodic_dims: [false, false, false]\n",
       "        BC_map:\n",
       "          - pos: E\n",
       "            BC: RegularizedNeumannOutlet\n",
       "            rho: 1.0\n",
       "            wall_normal: E\n",
       "            order: 2\n",
       "          - pos: F\n",
       "            BC: Neumann\n",
       "            wall_normal: F\n",
       "            order: 1\n",
       "          - pos: B\n",
       "            BC: RegularizedHWBB\n",
       "            wall_normal: B\n",
       "            order: 1\n",
       "          - pos: N\n",
       "            BC: Neumann\n",
       "            wall_normal: N\n",
       "            order: 0\n",
       "          - pos: S\n",
       "            BC: Neumann\n",
       "            wall_normal: S\n",
       "            order: 0\n",
       "        SEM:\n",
       "          eddies:\n",
       "            lengthscale:\n",
       "              {\n",
       "                x: !sub \"${simul.sigma_sem}\",\n",
       "                y: !sub \"${simul.sigma_sem}\",\n",
       "                z: !sub \"${simul.sigma_sem}\",\n",
       "              }\n",
       "            eddies_vol_density: 300\n",
       "            domain_limits_yz:\n",
       "              start: !math [\"${simul.sigma_sem}\", \"-${simul.sigma_sem}\"]\n",
       "              end:\n",
       "                !math [\n",
       "                  \"${domain.width}-${simul.sigma_sem}\",\n",
       "                  \"${domain.height}-${simul.sigma_sem}\",\n",
       "                ]\n",
       "          profile:\n",
       "            csv_profile_data: \"./fixture/SEM/category_vprofile/profile_log_cat0_H150_Uh0.06.csv\"\n",
       "            z_offset: !math \"${simul.plane_height}\"\n",
       "            length_mul: !math \"${simul.scale}\"\n",
       "\n",
       "      LES:\n",
       "        model: Smagorinsky\n",
       "        sgs_cte: 0.17\n",
       "\n",
       "      IBM:\n",
       "        dirac_delta: 3_points\n",
       "        forces_accomodate_time: 500\n",
       "        body_cfgs:\n",
       "          default:\n",
       "            n_iterations: 3\n",
       "            forces_factor: 1.0\n",
       "          plane_cfg:\n",
       "            n_iterations: 3\n",
       "            forces_factor: 0.5\n",
       "            kinetic_energy_correction: false\n",
       "            wall_model:\n",
       "              name: EqLog\n",
       "              dist_ref: 3.125\n",
       "              dist_shell: 0.125\n",
       "              start_step: 5000\n",
       "              params:\n",
       "                z0: !math \"0.003*${simul.scale}\"\n",
       "                TDMA_max_error: 1e-04\n",
       "                TDMA_max_iters: 10\n",
       "                TDMA_max_div: 25\n",
       "\n",
       "      multiblock:\n",
       "        overlap_F2C: 2\n",
       "\n",
       "  - name: category_1_s4m\n",
       "    parent: category_0_s4m\n",
       "    run_simul: true\n",
       "\n",
       "    domain:\n",
       "      bodies:\n",
       "        plates_obstacles:\n",
       "          IBM:\n",
       "            order: 1\n",
       "          lnas_path: fixture/lnas/wind_tunnel/category_I/plates_Nx160Ny70_6x1_spacing16x32_offset19y.lnas\n",
       "          volumes_limits:\n",
       "            body_transformed:\n",
       "              - start: !math [10, 20, 0]\n",
       "                end: !math [300, \"${domain.width} - 20\", \"0.5*${domain.height}\"]\n",
       "          small_triangles: add\n",
       "          transformation:\n",
       "            translation: [0, 1, 0]\n",
       "            scale: !math [\n",
       "                \"64.0*${simul.scale}\",\n",
       "                \"64.0*${simul.scale}\",\n",
       "                \"32.0*${simul.scale}\",\n",
       "              ] #1m\n",
       "      global_transformations:\n",
       "        - transformation: !not-inherit\n",
       "            translation: !math [0, 0, \"${simul.plane_height}\"]\n",
       "          point_clouds_apply: []\n",
       "          bodies_apply: [\"full_plane\", \"plates_obstacles\"]\n",
       "          probes_apply: []\n",
       "    models:\n",
       "      IBM:\n",
       "        body_cfgs:\n",
       "          plane_cfg:\n",
       "            wall_model:\n",
       "              params:\n",
       "                z0: !math \"0.01*${simul.scale}\"\n",
       "      BC:\n",
       "        SEM:\n",
       "          profile:\n",
       "            csv_profile_data: \"./fixture/SEM/category_vprofile/profile_log_cat1_H150_Uh0.06.csv\"\n",
       "\n",
       "  - name: category_2_s4m\n",
       "    parent: category_0_s4m\n",
       "    run_simul: true\n",
       "\n",
       "    domain:\n",
       "      bodies:\n",
       "        plates_obstacles:\n",
       "          IBM:\n",
       "            order: 1\n",
       "          lnas_path: fixture/lnas/wind_tunnel/category_II/plates_Nx160Ny70_6x2_spacing16x32_offset19y.lnas\n",
       "          volumes_limits:\n",
       "            body_transformed:\n",
       "              - start: !math [10, 20, 0]\n",
       "                end: !math [300, \"${domain.width} - 20\", \"${domain.height}\"]\n",
       "          small_triangles: add\n",
       "          transformation:\n",
       "            translation: [0, 1, 0]\n",
       "            scale: !math [\n",
       "                \"64.0*${simul.scale}\",\n",
       "                \"64.0*${simul.scale}\",\n",
       "                \"32.0*${simul.scale}\",\n",
       "              ] #2m\n",
       "      global_transformations:\n",
       "        - transformation: !not-inherit\n",
       "            translation: !math [0, 0, \"${simul.plane_height}\"]\n",
       "          point_clouds_apply: []\n",
       "          bodies_apply: [\"full_plane\", \"plates_obstacles\"]\n",
       "          probes_apply: []\n",
       "    models:\n",
       "      IBM:\n",
       "        body_cfgs:\n",
       "          plane_cfg:\n",
       "            wall_model:\n",
       "              params:\n",
       "                z0: !math \"0.05*${simul.scale}\"\n",
       "      BC:\n",
       "        SEM:\n",
       "          profile:\n",
       "            csv_profile_data: \"./fixture/SEM/category_vprofile/profile_log_cat2_H150_Uh0.06.csv\"\n",
       "\n",
       "  - name: category_3_s4m\n",
       "    parent: category_0_s4m\n",
       "    run_simul: true\n",
       "\n",
       "    domain:\n",
       "      bodies:\n",
       "        plates_obstacles:\n",
       "          IBM:\n",
       "            order: 1\n",
       "          lnas_path: fixture/lnas/wind_tunnel/category_II/plates_Nx160Ny70_6x2_spacing16x32_offset19y.lnas\n",
       "          volumes_limits:\n",
       "            body_transformed:\n",
       "              - start: !math [10, 20, 0]\n",
       "                end: !math [300, \"${domain.width} - 20\", \"${domain.height}\"]\n",
       "          small_triangles: add\n",
       "          transformation:\n",
       "            translation: [0, 1, 0]\n",
       "            scale: !math [\n",
       "                \"64.0*${simul.scale}\",\n",
       "                \"64.0*${simul.scale}\",\n",
       "                \"3*32.0*${simul.scale}\",\n",
       "              ] #6m\n",
       "      global_transformations:\n",
       "        - transformation: !not-inherit\n",
       "            translation: !math [0, 0, \"${simul.plane_height}\"]\n",
       "          point_clouds_apply: []\n",
       "          bodies_apply: [\"full_plane\", \"plates_obstacles\"]\n",
       "          probes_apply: []\n",
       "    models:\n",
       "      IBM:\n",
       "        body_cfgs:\n",
       "          plane_cfg:\n",
       "            wall_model:\n",
       "              params:\n",
       "                z0: !math \"0.3*${simul.scale}\"\n",
       "      BC:\n",
       "        SEM:\n",
       "          profile:\n",
       "            csv_profile_data: \"./fixture/SEM/category_vprofile/profile_log_cat3_H150_Uh0.06.csv\"\n",
       "\n",
       "  - name: category_4_s4m\n",
       "    parent: category_0_s4m\n",
       "    run_simul: true\n",
       "\n",
       "    domain:\n",
       "      bodies:\n",
       "        plates_obstacles:\n",
       "          IBM:\n",
       "            order: 1\n",
       "          lnas_path: fixture/lnas/wind_tunnel/category_II/plates_Nx160Ny70_6x2_spacing16x32_offset19y.lnas\n",
       "          volumes_limits:\n",
       "            body_transformed:\n",
       "              - start: !math [10, 20, 0]\n",
       "                end: !math [300, \"${domain.width} - 20\", \"${domain.height}\"]\n",
       "          small_triangles: add\n",
       "          transformation:\n",
       "            translation: [0, 1, 0]\n",
       "            scale: !math [\n",
       "                \"64.0*${simul.scale}\",\n",
       "                \"64.0*${simul.scale}\",\n",
       "                \"5.0*32.0*${simul.scale}\",\n",
       "              ] # 10m\n",
       "      global_transformations:\n",
       "        - transformation: !not-inherit\n",
       "            translation: !math [0, 0, \"${simul.plane_height}\"]\n",
       "          point_clouds_apply: []\n",
       "          bodies_apply: [\"full_plane\", \"plates_obstacles\"]\n",
       "          probes_apply: []\n",
       "    models:\n",
       "      IBM:\n",
       "        body_cfgs:\n",
       "          plane_cfg:\n",
       "            wall_model:\n",
       "              params:\n",
       "                z0: !math \"1.0*${simul.scale}\"\n",
       "      BC:\n",
       "        SEM:\n",
       "          profile:\n",
       "            csv_profile_data: \"./fixture/SEM/category_vprofile/profile_log_cat4_H150_Uh0.06.csv\""
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Code\n",
    "\n",
    "Code(filename=filename)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "nassu",
   "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": "3.12.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}