{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5cff3572",
   "metadata": {},
   "source": [
    "# Lid-Driven Cavity - Moment-Based BC Validation (Case 05)\n",
    "\n",
    "Validation of the moment-based boundary conditions against the Ghia, Ghia & Shin (1982)\n",
    "benchmark for the square lid-driven cavity. The lid is the moment-based moving wall\n",
    "`RegularizedVelocityWall`; the three stationary walls are the no-slip `RegularizedHWBB`\n",
    "(the zero-velocity case of the same closure). No population bounce-back is used.\n",
    "\n",
    "The steady-state centreline velocity profiles are compared against the tabulated Ghia\n",
    "solution at Re = 100, 400, 1000."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c80c3f8a",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9b57c9d3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-23T02:54:03.850626Z",
     "iopub.status.busy": "2026-07-23T02:54:03.850432Z",
     "iopub.status.idle": "2026-07-23T02:54:06.502469Z",
     "shell.execute_reply": "2026-07-23T02:54:06.501282Z"
    }
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "import nassu.viz as common\n",
    "from nassu.cfg.model import ConfigScheme\n",
    "\n",
    "common.use_style()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02bddb11",
   "metadata": {},
   "source": [
    "### Load simulation configuration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "19e6c0f9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-23T02:54:06.505252Z",
     "iopub.status.busy": "2026-07-23T02:54:06.504945Z",
     "iopub.status.idle": "2026-07-23T02:54:06.534048Z",
     "shell.execute_reply": "2026-07-23T02:54:06.533240Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Re= 100 (sim_id=0): L=256, tau=0.884, nu=0.12800, U=0.05, Re=U L/nu=100.0, n_steps=300000"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Re= 400 (sim_id=1): L=256, tau=0.596, nu=0.03200, U=0.05, Re=U L/nu=400.0, n_steps=500000"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Re=1000 (sim_id=2): L=256, tau=0.5384, nu=0.01280, U=0.05, Re=U L/nu=1000.0, n_steps=800000"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "filename = \"validation/analytical/05_lid_driven_cavity/05_lid_driven_cavity.nassu.yaml\"\n",
    "sim_cfgs = ConfigScheme.sim_cfgs_from_file_dct(filename)\n",
    "\n",
    "# Unrolled simulations: sim_id 0/1/2 correspond to Re = 100, 400, 1000.\n",
    "sim_cfgs_list = [sim_cfgs[\"lidDrivenCavity\", i] for i in range(3)]\n",
    "\n",
    "RE_NUMBERS = [100, 400, 1000]\n",
    "# Lid speed (lattice units): the `ux` of the moving-wall (N) BC entry.\n",
    "lid_bc = next(b for b in sim_cfgs_list[0].models.BC.BC_map if b.BC == \"RegularizedVelocityWall\")\n",
    "U_LID = float(lid_bc.params[\"ux\"])\n",
    "\n",
    "for Re, cfg in zip(RE_NUMBERS, sim_cfgs_list):\n",
    "    L = cfg.domain.domain_size.x\n",
    "    nu = (cfg.models.LBM.tau - 0.5) / 3.0\n",
    "    Re_check = U_LID * L / nu\n",
    "    print(\n",
    "        f\"Re={Re:4d} (sim_id={cfg.sim_id}): L={L}, tau={cfg.models.LBM.tau}, \"\n",
    "        f\"nu={nu:.5f}, U={U_LID}, Re=U L/nu={Re_check:.1f}, n_steps={cfg.n_steps}\"\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96778157",
   "metadata": {},
   "source": [
    "## Reference solution\n",
    "\n",
    "The accepted benchmark is the multigrid Navier-Stokes solution of Ghia, Ghia & Shin\n",
    "(1982), tabulated as the streamwise velocity `u` along the vertical centreline\n",
    "(`x = L/2`) and the vertical velocity `v` along the horizontal centreline (`y = L/2`),\n",
    "both normalised by the lid speed. The digitised tables are committed under `reference/`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "03cafd96",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-23T02:54:06.536177Z",
     "iopub.status.busy": "2026-07-23T02:54:06.535984Z",
     "iopub.status.idle": "2026-07-23T02:54:06.545277Z",
     "shell.execute_reply": "2026-07-23T02:54:06.544570Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ghia u-table rows:"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  v-table rows:"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "REF_DIR = \"validation/analytical/05_lid_driven_cavity/reference\"\n",
    "ghia_u = np.genfromtxt(f\"{REF_DIR}/ghia1982_u_vertical_centerline.csv\", delimiter=\",\", names=True)\n",
    "ghia_v = np.genfromtxt(f\"{REF_DIR}/ghia1982_v_horizontal_centerline.csv\", delimiter=\",\", names=True)\n",
    "\n",
    "# Column name per Reynolds number.\n",
    "ghia_u_col = {100: \"u_Re100\", 400: \"u_Re400\", 1000: \"u_Re1000\"}\n",
    "ghia_v_col = {100: \"v_Re100\", 400: \"v_Re400\", 1000: \"v_Re1000\"}\n",
    "print(\"Ghia u-table rows:\", ghia_u[\"y\"].size, \"  v-table rows:\", ghia_v[\"x\"].size)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90281ddf",
   "metadata": {},
   "source": [
    "## Centreline extraction\n",
    "\n",
    "`FieldSource` returns each macroscopic field in Fortran `(x, y)` order. The lid sits at\n",
    "`y = L` (the last `y` index), so:\n",
    "\n",
    "- the **vertical-centreline** profile `u(y)` at `x = L/2` is `ux[mid_x, :]`, indexed by `y`;\n",
    "- the **horizontal-centreline** profile `v(x)` at `y = L/2` is `uy[:, mid_y]`, indexed by `x`.\n",
    "\n",
    "The two central columns/rows are averaged so the line sits exactly at `0.5`. Coordinates\n",
    "are normalised as `i / (N - 1)` so node 0 is the wall and node `N-1` is the opposite wall\n",
    "(node-coincident regularized walls)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4c502b0c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-23T02:54:06.547876Z",
     "iopub.status.busy": "2026-07-23T02:54:06.547690Z",
     "iopub.status.idle": "2026-07-23T02:54:06.552415Z",
     "shell.execute_reply": "2026-07-23T02:54:06.551619Z"
    }
   },
   "outputs": [],
   "source": [
    "def _mid_indices(N):\n",
    "    return [N // 2 - 1, N // 2]\n",
    "\n",
    "\n",
    "def centerlines(src, step, U):\n",
    "    \"\"\"Return (y_norm, u_over_U, x_norm, v_over_U) at a given exported step.\"\"\"\n",
    "    arrays, _ = src.read_arrays(step, [\"ux\", \"uy\"])\n",
    "    ux = np.asarray(arrays[\"ux\"]).squeeze()  # (x, y)\n",
    "    uy = np.asarray(arrays[\"uy\"]).squeeze()\n",
    "    N = ux.shape[0]\n",
    "    mid = _mid_indices(N)\n",
    "    coord = np.arange(N) / (N - 1)\n",
    "    u_y = ux[mid, :].mean(axis=0) / U   # u(y) at x = L/2\n",
    "    v_x = uy[:, mid].mean(axis=1) / U   # v(x) at y = L/2\n",
    "    return coord, u_y, coord, v_x"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de8271a3",
   "metadata": {},
   "source": [
    "## Load simulation output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1062cd22",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-23T02:54:06.554647Z",
     "iopub.status.busy": "2026-07-23T02:54:06.554459Z",
     "iopub.status.idle": "2026-07-23T02:54:06.614039Z",
     "shell.execute_reply": "2026-07-23T02:54:06.613247Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Re= 100: 21 snapshots, last step 300000, steady residual max|du/U| over last interval = 6.41e-07"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Re= 400: 21 snapshots, last step 500000, steady residual max|du/U| over last interval = 1.51e-06"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Re=1000: 21 snapshots, last step 800000, steady residual max|du/U| over last interval = 1.91e-06"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "PROJECT_ROOT = common.find_project_root()\n",
    "\n",
    "data = {}\n",
    "for Re, cfg in zip(RE_NUMBERS, sim_cfgs_list):\n",
    "    src = common.FieldSource.from_cfg(cfg, project_root=PROJECT_ROOT)\n",
    "    step_end = src.steps[-1]\n",
    "    y, u_y, x, v_x = centerlines(src, step_end, U_LID)\n",
    "\n",
    "    # Steady-state check: how much the centreline moved over the last interval.\n",
    "    _, u_prev, _, _ = centerlines(src, src.steps[-2], U_LID)\n",
    "    steady_resid = float(np.max(np.abs(u_y - u_prev)))\n",
    "\n",
    "    data[Re] = dict(y=y, u_y=u_y, x=x, v_x=v_x, steady_resid=steady_resid)\n",
    "    print(\n",
    "        f\"Re={Re:4d}: {len(src.steps)} snapshots, last step {step_end}, \"\n",
    "        f\"steady residual max|du/U| over last interval = {steady_resid:.2e}\"\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9af4f5e",
   "metadata": {},
   "source": [
    "## $u$ along the vertical centreline\n",
    "\n",
    "Streamwise velocity `u(y)` at `x = L/2`, simulation (lines) vs Ghia (markers)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "bf749031",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-23T02:54:06.616492Z",
     "iopub.status.busy": "2026-07-23T02:54:06.616298Z",
     "iopub.status.idle": "2026-07-23T02:54:07.007801Z",
     "shell.execute_reply": "2026-07-23T02:54:07.007010Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = common.fig_single()\n",
    "colors = plt.rcParams[\"axes.prop_cycle\"].by_key()[\"color\"]\n",
    "for c, Re in zip(colors, RE_NUMBERS):\n",
    "    d = data[Re]\n",
    "    ax.plot(d[\"u_y\"], d[\"y\"], **{**common.markers.sim_line(), \"color\": c}, label=f\"Nassu Re={Re}\")\n",
    "    ax.plot(\n",
    "        ghia_u[ghia_u_col[Re]], ghia_u[\"y\"],\n",
    "        **{**common.markers.exp(), \"color\": c}, label=f\"Ghia Re={Re}\",\n",
    "    )\n",
    "ax.set_xlabel(r\"$u / U$\")\n",
    "ax.set_ylabel(r\"$y / L$\")\n",
    "ax.set_title(\"Vertical-centreline streamwise velocity\")\n",
    "ax.legend(fontsize=8, ncol=2)\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ea1622d",
   "metadata": {},
   "source": [
    "## $v$ along the horizontal centreline\n",
    "\n",
    "Vertical velocity `v(x)` at `y = L/2`, simulation (lines) vs Ghia (markers)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "aae50583",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-23T02:54:07.010344Z",
     "iopub.status.busy": "2026-07-23T02:54:07.010144Z",
     "iopub.status.idle": "2026-07-23T02:54:07.269109Z",
     "shell.execute_reply": "2026-07-23T02:54:07.268001Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = common.fig_single()\n",
    "for c, Re in zip(colors, RE_NUMBERS):\n",
    "    d = data[Re]\n",
    "    ax.plot(d[\"x\"], d[\"v_x\"], **{**common.markers.sim_line(), \"color\": c}, label=f\"Nassu Re={Re}\")\n",
    "    ax.plot(\n",
    "        ghia_v[\"x\"], ghia_v[ghia_v_col[Re]],\n",
    "        **{**common.markers.exp(), \"color\": c}, label=f\"Ghia Re={Re}\",\n",
    "    )\n",
    "ax.set_xlabel(r\"$x / L$\")\n",
    "ax.set_ylabel(r\"$v / U$\")\n",
    "ax.set_title(\"Horizontal-centreline vertical velocity\")\n",
    "ax.legend(fontsize=8, ncol=2)\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32878f66",
   "metadata": {},
   "source": [
    "## Quantitative error vs Ghia\n",
    "\n",
    "Mean absolute deviation (normalised by the lid speed) between the simulated centreline\n",
    "profiles, interpolated to the Ghia node positions, and the tabulated values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1f53fe4e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-23T02:54:07.271127Z",
     "iopub.status.busy": "2026-07-23T02:54:07.270925Z",
     "iopub.status.idle": "2026-07-23T02:54:07.500608Z",
     "shell.execute_reply": "2026-07-23T02:54:07.499568Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   Re    MAE(u)/U    MAE(v)/U"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  100      0.0017      0.0020"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  400      0.0027      0.0120"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1000      0.0044      0.0049"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(f\"{'Re':>5}  {'MAE(u)/U':>10}  {'MAE(v)/U':>10}\")\n",
    "mae_u, mae_v = [], []\n",
    "for Re in RE_NUMBERS:\n",
    "    d = data[Re]\n",
    "    u_at = np.interp(ghia_u[\"y\"], d[\"y\"], d[\"u_y\"])\n",
    "    v_at = np.interp(ghia_v[\"x\"], d[\"x\"], d[\"v_x\"])\n",
    "    eu = float(np.mean(np.abs(u_at - ghia_u[ghia_u_col[Re]])))\n",
    "    ev = float(np.mean(np.abs(v_at - ghia_v[ghia_v_col[Re]])))\n",
    "    mae_u.append(eu)\n",
    "    mae_v.append(ev)\n",
    "    print(f\"{Re:>5}  {eu:>10.4f}  {ev:>10.4f}\")\n",
    "\n",
    "fig, ax = common.fig_single()\n",
    "xpos = np.arange(len(RE_NUMBERS))\n",
    "ax.bar(xpos - 0.2, mae_u, 0.4, label=r\"MAE$(u)/U$\")\n",
    "ax.bar(xpos + 0.2, mae_v, 0.4, label=r\"MAE$(v)/U$\")\n",
    "ax.set_xticks(xpos)\n",
    "ax.set_xticklabels([f\"Re={Re}\" for Re in RE_NUMBERS])\n",
    "ax.set_ylabel(\"mean absolute deviation / U\")\n",
    "ax.set_title(\"Centreline deviation from Ghia (1982)\")\n",
    "ax.legend()\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee55387b",
   "metadata": {},
   "source": [
    "## Flow field: primary and secondary vortices\n",
    "\n",
    "Streamlines of the steady Re = 1000 solution, showing the primary vortex and the\n",
    "secondary corner vortices."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0cb6f81f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-23T02:54:07.502815Z",
     "iopub.status.busy": "2026-07-23T02:54:07.502615Z",
     "iopub.status.idle": "2026-07-23T02:54:08.631014Z",
     "shell.execute_reply": "2026-07-23T02:54:08.630047Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 520x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cfg = sim_cfgs_list[-1]  # Re = 1000\n",
    "src = common.FieldSource.from_cfg(cfg, project_root=PROJECT_ROOT)\n",
    "arrays, _ = src.read_arrays(src.steps[-1], [\"ux\", \"uy\"])\n",
    "ux = np.asarray(arrays[\"ux\"]).squeeze()\n",
    "uy = np.asarray(arrays[\"uy\"]).squeeze()\n",
    "N = ux.shape[0]\n",
    "xs = np.arange(N) / (N - 1)\n",
    "X, Y = np.meshgrid(xs, xs, indexing=\"ij\")\n",
    "speed = np.sqrt(ux**2 + uy**2) / U_LID\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(5.2, 5))\n",
    "strm = ax.streamplot(\n",
    "    X.T, Y.T, ux.T, uy.T, density=1.6, color=speed.T, cmap=\"viridis\", linewidth=0.7,\n",
    ")\n",
    "fig.colorbar(strm.lines, ax=ax, label=r\"$|u| / U$\")\n",
    "ax.set_xlabel(r\"$x / L$\")\n",
    "ax.set_ylabel(r\"$y / L$\")\n",
    "ax.set_title(\"Lid-driven cavity streamlines, Re = 1000\")\n",
    "ax.set_aspect(\"equal\")\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9f51a37",
   "metadata": {},
   "source": [
    "## Summary\n",
    "\n",
    "Success criteria:\n",
    "\n",
    "- The simulated centreline profiles overlay the Ghia (1982) benchmark at every Reynolds\n",
    "  number, reproducing the primary-vortex sign reversal and the near-wall velocity extrema.\n",
    "- The mean absolute deviation from the tabulated points stays within a few percent of the\n",
    "  lid speed, decreasing with Reynolds number resolution.\n",
    "- The steady-state residual confirms the flow has converged (the centreline stops moving).\n",
    "- The moment-based moving wall imposes `u = U` exactly at the lid and `u = 0` at the\n",
    "  no-slip walls, with the density staying close to 1 (weakly compressible)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00ac495b",
   "metadata": {},
   "source": [
    "## Version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "36e4f92e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-23T02:54:08.634500Z",
     "iopub.status.busy": "2026-07-23T02:54:08.634304Z",
     "iopub.status.idle": "2026-07-23T02:54:08.735800Z",
     "shell.execute_reply": "2026-07-23T02:54:08.734862Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Version:"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.0.0a7"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Commit hash:"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5e47f2762575c2d285254d36bfd354b6af09fda1"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "sim_info = sim_cfgs_list[0].output.read_info()\n",
    "\n",
    "print(\"Version:\", sim_info[\"version\"])\n",
    "print(\"Commit hash:\", sim_info[\"commit\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54d9e72c",
   "metadata": {},
   "source": [
    "## Configuration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "affdaf6c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-23T02:54:08.737960Z",
     "iopub.status.busy": "2026-07-23T02:54:08.737774Z",
     "iopub.status.idle": "2026-07-23T02:54:08.866530Z",
     "shell.execute_reply": "2026-07-23T02:54:08.865509Z"
    }
   },
   "outputs": [
    {
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       ".output_html .il { color: #666 } /* Literal.Number.Integer.Long */</style><div class=\"highlight\"><pre><span></span><span class=\"c1\"># Lid-driven cavity flow - moment-based boundary-condition validation (issue #921).</span>\n",
       "<span class=\"c1\">#</span>\n",
       "<span class=\"c1\"># A square cavity (L x L, 2-D D2Q9) with three stationary no-slip walls and a</span>\n",
       "<span class=\"c1\"># top lid translating at a constant velocity U. This is the canonical benchmark</span>\n",
       "<span class=\"c1\"># for validating moment-based boundary conditions in the LBM</span>\n",
       "<span class=\"c1\"># (Mohammed &amp; Reis 2017): the lid is the moment-based moving wall</span>\n",
       "<span class=\"c1\"># `RegularizedVelocityWall` (imposes u = (U, 0), takes the density</span>\n",
       "<span class=\"c1\"># zero-normal-gradient from the interior, derives the rate-of-strain from the</span>\n",
       "<span class=\"c1\"># one-sided wall-normal finite difference), and the three static walls are the</span>\n",
       "<span class=\"c1\"># no-slip `RegularizedHWBB` (the u_wall = 0 case of the same closure). All walls</span>\n",
       "<span class=\"c1\"># use the default extrapolated (zero-normal-gradient) density - no `rho_wall` is</span>\n",
       "<span class=\"c1\"># set, which is the physically correct closure for a recirculating cavity where</span>\n",
       "<span class=\"c1\"># the wall pressure varies. No population bounce-back is used anywhere.</span>\n",
       "<span class=\"c1\">#</span>\n",
       "<span class=\"c1\"># Reference solution</span>\n",
       "<span class=\"c1\"># ------------------</span>\n",
       "<span class=\"c1\"># There is no closed form; the accepted benchmark is the multigrid Navier-Stokes</span>\n",
       "<span class=\"c1\"># solution of Ghia, Ghia &amp; Shin (1982), tabulated as:</span>\n",
       "<span class=\"c1\">#   - u along the vertical centreline x = L/2, as a function of y, and</span>\n",
       "<span class=\"c1\">#   - v along the horizontal centreline y = L/2, as a function of x,</span>\n",
       "<span class=\"c1\"># for Re = 100, 400, 1000 (digitised tables in reference/). The simulation must</span>\n",
       "<span class=\"c1\"># reproduce these centreline profiles, including the sign reversals of the</span>\n",
       "<span class=\"c1\"># primary vortex and the near-wall extrema.</span>\n",
       "<span class=\"c1\">#</span>\n",
       "<span class=\"c1\"># Reynolds-number sweep</span>\n",
       "<span class=\"c1\"># ---------------------</span>\n",
       "<span class=\"c1\"># Re = U L / nu is swept over {100, 400, 1000} via `!unroll`, holding the grid</span>\n",
       "<span class=\"c1\"># (L = 256) and the lid speed (U = 0.05, so Ma = U*sqrt(3) ~= 0.087 &lt; 0.1) fixed</span>\n",
       "<span class=\"c1\"># and varying the viscosity through tau = 3 nu + 1/2:</span>\n",
       "<span class=\"c1\">#   Re = 100  -&gt; nu = 0.128   -&gt; tau = 0.8840</span>\n",
       "<span class=\"c1\">#   Re = 400  -&gt; nu = 0.032   -&gt; tau = 0.5960</span>\n",
       "<span class=\"c1\">#   Re = 1000 -&gt; nu = 0.0128  -&gt; tau = 0.5384</span>\n",
       "<span class=\"c1\"># The 256-grid resolves the near-wall velocity extrema that the Ghia tables</span>\n",
       "<span class=\"c1\"># probe densely. Higher Re converges to steady state more slowly, so n_steps</span>\n",
       "<span class=\"c1\"># grows with Re. sim_id 0 = Re 100, 1 = Re 400, 2 = Re 1000 (the notebook</span>\n",
       "<span class=\"c1\"># indexes by this order).</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\">lidDrivenCavity</span>\n",
       "<span class=\"w\">    </span><span class=\"nt\">save_path</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!unroll</span>\n",
       "<span class=\"w\">      </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">./validation/analytical/05_lid_driven_cavity/results/re_100</span>\n",
       "<span class=\"w\">      </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">./validation/analytical/05_lid_driven_cavity/results/re_400</span>\n",
       "<span class=\"w\">      </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">./validation/analytical/05_lid_driven_cavity/results/re_1000</span>\n",
       "\n",
       "<span class=\"w\">    </span><span class=\"nt\">n_steps</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!unroll</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">300000</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">500000</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">800000</span><span class=\"p p-Indicator\">]</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\">40000</span>\n",
       "\n",
       "<span class=\"w\">    </span><span class=\"nt\">domain</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">domain_size</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">x</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">256</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\">256</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",
       "\n",
       "<span class=\"w\">    </span><span class=\"nt\">data</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">      </span><span class=\"c1\"># Default guard (rho non-finite -&gt; stop, checked every 10 steps).</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=\"c1\"># Watch the flow settle to steady state (the velocity extrema stop</span>\n",
       "<span class=\"w\">          </span><span class=\"c1\"># moving) and catch any blow-up early.</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\">frequency</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"nv\">1000</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=\"c1\"># ~20 volume snapshots per case so the notebook can confirm the</span>\n",
       "<span class=\"w\">        </span><span class=\"c1\"># centreline profiles have reached steady state and read the last one.</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">default</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">macrs</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">rho</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">u</span><span class=\"p p-Indicator\">]</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">interval</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!unroll</span>\n",
       "<span class=\"w\">            </span><span class=\"p p-Indicator\">-</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\">15000</span><span class=\"p p-Indicator\">,</span><span class=\"nt\"> lvl</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"nv\">0</span><span class=\"p p-Indicator\">}</span>\n",
       "<span class=\"w\">            </span><span class=\"p p-Indicator\">-</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\">25000</span><span class=\"p p-Indicator\">,</span><span class=\"nt\"> lvl</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"nv\">0</span><span class=\"p p-Indicator\">}</span>\n",
       "<span class=\"w\">            </span><span class=\"p p-Indicator\">-</span><span class=\"w\"> </span><span class=\"p p-Indicator\">{</span><span class=\"nt\">frequency</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"nv\">40000</span><span class=\"p p-Indicator\">,</span><span class=\"nt\"> lvl</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"nv\">0</span><span class=\"p p-Indicator\">}</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">target</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">volumes</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">default</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">{}</span>\n",
       "<span class=\"w\">          </span><span class=\"nt\">outputs</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">instantaneous</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">true</span>\n",
       "\n",
       "<span class=\"w\">    </span><span class=\"nt\">models</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">      </span><span class=\"nt\">precision</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">default</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">single</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">calculations</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">double</span>\n",
       "\n",
       "<span class=\"w\">      </span><span class=\"nt\">LBM</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">tau</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"kt\">!unroll</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">0.8840</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">0.5960</span><span class=\"p p-Indicator\">,</span><span class=\"w\"> </span><span class=\"nv\">0.5384</span><span class=\"p p-Indicator\">]</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\">D2Q9</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",
       "\n",
       "<span class=\"w\">      </span><span class=\"nt\">engine</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">name</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">CUDA</span>\n",
       "\n",
       "<span class=\"w\">      </span><span class=\"nt\">BC</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">        </span><span class=\"nt\">periodic_dims</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"p p-Indicator\">[</span><span class=\"nv\">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=\"c1\"># Moving lid: moment-based velocity wall translating at +x.</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\">RegularizedVelocityWall</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">wall_normal</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">N</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">order</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">1</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">params</span><span class=\"p\">:</span>\n",
       "<span class=\"w\">              </span><span class=\"nt\">ux</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\">uy</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=\"c1\"># Three stationary no-slip walls (u_wall = 0 case of the same closure).</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\">RegularizedHWBB</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">wall_normal</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">S</span>\n",
       "<span class=\"w\">            </span><span class=\"nt\">order</span><span class=\"p\">:</span><span class=\"w\"> </span><span class=\"l l-Scalar l-Scalar-Plain\">1</span>\n",
       "<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\">W</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\">W</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\">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\">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\">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\">0</span>\n",
       "</pre></div>\n"
      ],
      "text/latex": [
       "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n",
       "\\PY{c+c1}{\\PYZsh{} Lid\\PYZhy{}driven cavity flow \\PYZhy{} moment\\PYZhy{}based boundary\\PYZhy{}condition validation (issue \\PYZsh{}921).}\n",
       "\\PY{c+c1}{\\PYZsh{}}\n",
       "\\PY{c+c1}{\\PYZsh{} A square cavity (L x L, 2\\PYZhy{}D D2Q9) with three stationary no\\PYZhy{}slip walls and a}\n",
       "\\PY{c+c1}{\\PYZsh{} top lid translating at a constant velocity U. This is the canonical benchmark}\n",
       "\\PY{c+c1}{\\PYZsh{} for validating moment\\PYZhy{}based boundary conditions in the LBM}\n",
       "\\PY{c+c1}{\\PYZsh{} (Mohammed \\PYZam{} Reis 2017): the lid is the moment\\PYZhy{}based moving wall}\n",
       "\\PY{c+c1}{\\PYZsh{} `RegularizedVelocityWall` (imposes u = (U, 0), takes the density}\n",
       "\\PY{c+c1}{\\PYZsh{} zero\\PYZhy{}normal\\PYZhy{}gradient from the interior, derives the rate\\PYZhy{}of\\PYZhy{}strain from the}\n",
       "\\PY{c+c1}{\\PYZsh{} one\\PYZhy{}sided wall\\PYZhy{}normal finite difference), and the three static walls are the}\n",
       "\\PY{c+c1}{\\PYZsh{} no\\PYZhy{}slip `RegularizedHWBB` (the u\\PYZus{}wall = 0 case of the same closure). All walls}\n",
       "\\PY{c+c1}{\\PYZsh{} use the default extrapolated (zero\\PYZhy{}normal\\PYZhy{}gradient) density \\PYZhy{} no `rho\\PYZus{}wall` is}\n",
       "\\PY{c+c1}{\\PYZsh{} set, which is the physically correct closure for a recirculating cavity where}\n",
       "\\PY{c+c1}{\\PYZsh{} the wall pressure varies. No population bounce\\PYZhy{}back is used anywhere.}\n",
       "\\PY{c+c1}{\\PYZsh{}}\n",
       "\\PY{c+c1}{\\PYZsh{} Reference solution}\n",
       "\\PY{c+c1}{\\PYZsh{} \\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}}\n",
       "\\PY{c+c1}{\\PYZsh{} There is no closed form; the accepted benchmark is the multigrid Navier\\PYZhy{}Stokes}\n",
       "\\PY{c+c1}{\\PYZsh{} solution of Ghia, Ghia \\PYZam{} Shin (1982), tabulated as:}\n",
       "\\PY{c+c1}{\\PYZsh{}   \\PYZhy{} u along the vertical centreline x = L/2, as a function of y, and}\n",
       "\\PY{c+c1}{\\PYZsh{}   \\PYZhy{} v along the horizontal centreline y = L/2, as a function of x,}\n",
       "\\PY{c+c1}{\\PYZsh{} for Re = 100, 400, 1000 (digitised tables in reference/). The simulation must}\n",
       "\\PY{c+c1}{\\PYZsh{} reproduce these centreline profiles, including the sign reversals of the}\n",
       "\\PY{c+c1}{\\PYZsh{} primary vortex and the near\\PYZhy{}wall extrema.}\n",
       "\\PY{c+c1}{\\PYZsh{}}\n",
       "\\PY{c+c1}{\\PYZsh{} Reynolds\\PYZhy{}number sweep}\n",
       "\\PY{c+c1}{\\PYZsh{} \\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}\\PYZhy{}}\n",
       "\\PY{c+c1}{\\PYZsh{} Re = U L / nu is swept over \\PYZob{}100, 400, 1000\\PYZcb{} via `!unroll`, holding the grid}\n",
       "\\PY{c+c1}{\\PYZsh{} (L = 256) and the lid speed (U = 0.05, so Ma = U*sqrt(3) \\PYZti{}= 0.087 \\PYZlt{} 0.1) fixed}\n",
       "\\PY{c+c1}{\\PYZsh{} and varying the viscosity through tau = 3 nu + 1/2:}\n",
       "\\PY{c+c1}{\\PYZsh{}   Re = 100  \\PYZhy{}\\PYZgt{} nu = 0.128   \\PYZhy{}\\PYZgt{} tau = 0.8840}\n",
       "\\PY{c+c1}{\\PYZsh{}   Re = 400  \\PYZhy{}\\PYZgt{} nu = 0.032   \\PYZhy{}\\PYZgt{} tau = 0.5960}\n",
       "\\PY{c+c1}{\\PYZsh{}   Re = 1000 \\PYZhy{}\\PYZgt{} nu = 0.0128  \\PYZhy{}\\PYZgt{} tau = 0.5384}\n",
       "\\PY{c+c1}{\\PYZsh{} The 256\\PYZhy{}grid resolves the near\\PYZhy{}wall velocity extrema that the Ghia tables}\n",
       "\\PY{c+c1}{\\PYZsh{} probe densely. Higher Re converges to steady state more slowly, so n\\PYZus{}steps}\n",
       "\\PY{c+c1}{\\PYZsh{} grows with Re. sim\\PYZus{}id 0 = Re 100, 1 = Re 400, 2 = Re 1000 (the notebook}\n",
       "\\PY{c+c1}{\\PYZsh{} indexes by this order).}\n",
       "\n",
       "\\PY{n+nt}{simulations}\\PY{p}{:}\n",
       "\\PY{+w}{  }\\PY{p+pIndicator}{\\PYZhy{}}\\PY{+w}{ }\\PY{n+nt}{name}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{lidDrivenCavity}\n",
       "\\PY{+w}{    }\\PY{n+nt}{save\\PYZus{}path}\\PY{p}{:}\\PY{+w}{ }\\PY{k+kt}{!unroll}\n",
       "\\PY{+w}{      }\\PY{p+pIndicator}{\\PYZhy{}}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{./validation/analytical/05\\PYZus{}lid\\PYZus{}driven\\PYZus{}cavity/results/re\\PYZus{}100}\n",
       "\\PY{+w}{      }\\PY{p+pIndicator}{\\PYZhy{}}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{./validation/analytical/05\\PYZus{}lid\\PYZus{}driven\\PYZus{}cavity/results/re\\PYZus{}400}\n",
       "\\PY{+w}{      }\\PY{p+pIndicator}{\\PYZhy{}}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{./validation/analytical/05\\PYZus{}lid\\PYZus{}driven\\PYZus{}cavity/results/re\\PYZus{}1000}\n",
       "\n",
       "\\PY{+w}{    }\\PY{n+nt}{n\\PYZus{}steps}\\PY{p}{:}\\PY{+w}{ }\\PY{k+kt}{!unroll}\\PY{+w}{ }\\PY{p+pIndicator}{[}\\PY{n+nv}{300000}\\PY{p+pIndicator}{,}\\PY{+w}{ }\\PY{n+nv}{500000}\\PY{p+pIndicator}{,}\\PY{+w}{ }\\PY{n+nv}{800000}\\PY{p+pIndicator}{]}\n",
       "\n",
       "\\PY{+w}{    }\\PY{n+nt}{report}\\PY{p}{:}\n",
       "\\PY{+w}{      }\\PY{n+nt}{frequency}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{40000}\n",
       "\n",
       "\\PY{+w}{    }\\PY{n+nt}{domain}\\PY{p}{:}\n",
       "\\PY{+w}{      }\\PY{n+nt}{domain\\PYZus{}size}\\PY{p}{:}\n",
       "\\PY{+w}{        }\\PY{n+nt}{x}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{256}\n",
       "\\PY{+w}{        }\\PY{n+nt}{y}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{256}\n",
       "\\PY{+w}{      }\\PY{n+nt}{block\\PYZus{}size}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{8}\n",
       "\n",
       "\\PY{+w}{    }\\PY{n+nt}{data}\\PY{p}{:}\n",
       "\\PY{+w}{      }\\PY{c+c1}{\\PYZsh{} Default guard (rho non\\PYZhy{}finite \\PYZhy{}\\PYZgt{} stop, checked every 10 steps).}\n",
       "\\PY{+w}{      }\\PY{n+nt}{monitors}\\PY{p}{:}\n",
       "\\PY{+w}{        }\\PY{n+nt}{fields}\\PY{p}{:}\n",
       "\\PY{+w}{          }\\PY{c+c1}{\\PYZsh{} Watch the flow settle to steady state (the velocity extrema stop}\n",
       "\\PY{+w}{          }\\PY{c+c1}{\\PYZsh{} moving) and catch any blow\\PYZhy{}up early.}\n",
       "\\PY{+w}{          }\\PY{n+nt}{macrs\\PYZus{}stats}\\PY{p}{:}\n",
       "\\PY{+w}{            }\\PY{n+nt}{macrs}\\PY{p}{:}\\PY{+w}{ }\\PY{p+pIndicator}{[}\\PY{n+nv}{rho}\\PY{p+pIndicator}{,}\\PY{+w}{ }\\PY{n+nv}{u}\\PY{p+pIndicator}{]}\n",
       "\\PY{+w}{            }\\PY{n+nt}{stats}\\PY{p}{:}\\PY{+w}{ }\\PY{p+pIndicator}{[}\\PY{n+nv}{min}\\PY{p+pIndicator}{,}\\PY{+w}{ }\\PY{n+nv}{max}\\PY{p+pIndicator}{,}\\PY{+w}{ }\\PY{n+nv}{mean}\\PY{p+pIndicator}{]}\n",
       "\\PY{+w}{            }\\PY{n+nt}{interval}\\PY{p}{:}\\PY{+w}{ }\\PY{p+pIndicator}{\\PYZob{}}\\PY{n+nt}{frequency}\\PY{p}{:}\\PY{+w}{ }\\PY{n+nv}{1000}\\PY{p+pIndicator}{\\PYZcb{}}\n",
       "\\PY{+w}{      }\\PY{n+nt}{exports}\\PY{p}{:}\n",
       "\\PY{+w}{        }\\PY{c+c1}{\\PYZsh{} \\PYZti{}20 volume snapshots per case so the notebook can confirm the}\n",
       "\\PY{+w}{        }\\PY{c+c1}{\\PYZsh{} centreline profiles have reached steady state and read the last one.}\n",
       "\\PY{+w}{        }\\PY{n+nt}{default}\\PY{p}{:}\n",
       "\\PY{+w}{          }\\PY{n+nt}{macrs}\\PY{p}{:}\\PY{+w}{ }\\PY{p+pIndicator}{[}\\PY{n+nv}{rho}\\PY{p+pIndicator}{,}\\PY{+w}{ }\\PY{n+nv}{u}\\PY{p+pIndicator}{]}\n",
       "\\PY{+w}{          }\\PY{n+nt}{interval}\\PY{p}{:}\\PY{+w}{ }\\PY{k+kt}{!unroll}\n",
       "\\PY{+w}{            }\\PY{p+pIndicator}{\\PYZhy{}}\\PY{+w}{ }\\PY{p+pIndicator}{\\PYZob{}}\\PY{n+nt}{frequency}\\PY{p}{:}\\PY{+w}{ }\\PY{n+nv}{15000}\\PY{p+pIndicator}{,}\\PY{n+nt}{ lvl}\\PY{p}{:}\\PY{+w}{ }\\PY{n+nv}{0}\\PY{p+pIndicator}{\\PYZcb{}}\n",
       "\\PY{+w}{            }\\PY{p+pIndicator}{\\PYZhy{}}\\PY{+w}{ }\\PY{p+pIndicator}{\\PYZob{}}\\PY{n+nt}{frequency}\\PY{p}{:}\\PY{+w}{ }\\PY{n+nv}{25000}\\PY{p+pIndicator}{,}\\PY{n+nt}{ lvl}\\PY{p}{:}\\PY{+w}{ }\\PY{n+nv}{0}\\PY{p+pIndicator}{\\PYZcb{}}\n",
       "\\PY{+w}{            }\\PY{p+pIndicator}{\\PYZhy{}}\\PY{+w}{ }\\PY{p+pIndicator}{\\PYZob{}}\\PY{n+nt}{frequency}\\PY{p}{:}\\PY{+w}{ }\\PY{n+nv}{40000}\\PY{p+pIndicator}{,}\\PY{n+nt}{ lvl}\\PY{p}{:}\\PY{+w}{ }\\PY{n+nv}{0}\\PY{p+pIndicator}{\\PYZcb{}}\n",
       "\\PY{+w}{          }\\PY{n+nt}{target}\\PY{p}{:}\n",
       "\\PY{+w}{            }\\PY{n+nt}{volumes}\\PY{p}{:}\n",
       "\\PY{+w}{              }\\PY{n+nt}{default}\\PY{p}{:}\\PY{+w}{ }\\PY{p+pIndicator}{\\PYZob{}}\\PY{p+pIndicator}{\\PYZcb{}}\n",
       "\\PY{+w}{          }\\PY{n+nt}{outputs}\\PY{p}{:}\n",
       "\\PY{+w}{            }\\PY{n+nt}{instantaneous}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{true}\n",
       "\n",
       "\\PY{+w}{    }\\PY{n+nt}{models}\\PY{p}{:}\n",
       "\\PY{+w}{      }\\PY{n+nt}{precision}\\PY{p}{:}\n",
       "\\PY{+w}{        }\\PY{n+nt}{default}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{single}\n",
       "\\PY{+w}{        }\\PY{n+nt}{calculations}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{double}\n",
       "\n",
       "\\PY{+w}{      }\\PY{n+nt}{LBM}\\PY{p}{:}\n",
       "\\PY{+w}{        }\\PY{n+nt}{tau}\\PY{p}{:}\\PY{+w}{ }\\PY{k+kt}{!unroll}\\PY{+w}{ }\\PY{p+pIndicator}{[}\\PY{n+nv}{0.8840}\\PY{p+pIndicator}{,}\\PY{+w}{ }\\PY{n+nv}{0.5960}\\PY{p+pIndicator}{,}\\PY{+w}{ }\\PY{n+nv}{0.5384}\\PY{p+pIndicator}{]}\n",
       "\\PY{+w}{        }\\PY{n+nt}{vel\\PYZus{}set}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{D2Q9}\n",
       "\\PY{+w}{        }\\PY{n+nt}{coll\\PYZus{}oper}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{RRBGK}\n",
       "\n",
       "\\PY{+w}{      }\\PY{n+nt}{engine}\\PY{p}{:}\n",
       "\\PY{+w}{        }\\PY{n+nt}{name}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{CUDA}\n",
       "\n",
       "\\PY{+w}{      }\\PY{n+nt}{BC}\\PY{p}{:}\n",
       "\\PY{+w}{        }\\PY{n+nt}{periodic\\PYZus{}dims}\\PY{p}{:}\\PY{+w}{ }\\PY{p+pIndicator}{[}\\PY{n+nv}{false}\\PY{p+pIndicator}{,}\\PY{+w}{ }\\PY{n+nv}{false}\\PY{p+pIndicator}{]}\n",
       "\\PY{+w}{        }\\PY{n+nt}{BC\\PYZus{}map}\\PY{p}{:}\n",
       "\\PY{+w}{          }\\PY{c+c1}{\\PYZsh{} Moving lid: moment\\PYZhy{}based velocity wall translating at +x.}\n",
       "\\PY{+w}{          }\\PY{p+pIndicator}{\\PYZhy{}}\\PY{+w}{ }\\PY{n+nt}{pos}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{N}\n",
       "\\PY{+w}{            }\\PY{n+nt}{BC}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{RegularizedVelocityWall}\n",
       "\\PY{+w}{            }\\PY{n+nt}{wall\\PYZus{}normal}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{N}\n",
       "\\PY{+w}{            }\\PY{n+nt}{order}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{1}\n",
       "\\PY{+w}{            }\\PY{n+nt}{params}\\PY{p}{:}\n",
       "\\PY{+w}{              }\\PY{n+nt}{ux}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{0.05}\n",
       "\\PY{+w}{              }\\PY{n+nt}{uy}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{0}\n",
       "\\PY{+w}{          }\\PY{c+c1}{\\PYZsh{} Three stationary no\\PYZhy{}slip walls (u\\PYZus{}wall = 0 case of the same closure).}\n",
       "\\PY{+w}{          }\\PY{p+pIndicator}{\\PYZhy{}}\\PY{+w}{ }\\PY{n+nt}{pos}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{S}\n",
       "\\PY{+w}{            }\\PY{n+nt}{BC}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{RegularizedHWBB}\n",
       "\\PY{+w}{            }\\PY{n+nt}{wall\\PYZus{}normal}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{S}\n",
       "\\PY{+w}{            }\\PY{n+nt}{order}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{1}\n",
       "\\PY{+w}{          }\\PY{p+pIndicator}{\\PYZhy{}}\\PY{+w}{ }\\PY{n+nt}{pos}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{W}\n",
       "\\PY{+w}{            }\\PY{n+nt}{BC}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{RegularizedHWBB}\n",
       "\\PY{+w}{            }\\PY{n+nt}{wall\\PYZus{}normal}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{W}\n",
       "\\PY{+w}{            }\\PY{n+nt}{order}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{0}\n",
       "\\PY{+w}{          }\\PY{p+pIndicator}{\\PYZhy{}}\\PY{+w}{ }\\PY{n+nt}{pos}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{E}\n",
       "\\PY{+w}{            }\\PY{n+nt}{BC}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{RegularizedHWBB}\n",
       "\\PY{+w}{            }\\PY{n+nt}{wall\\PYZus{}normal}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{E}\n",
       "\\PY{+w}{            }\\PY{n+nt}{order}\\PY{p}{:}\\PY{+w}{ }\\PY{l+lScalar+lScalarPlain}{0}\n",
       "\\end{Verbatim}\n"
      ],
      "text/plain": [
       "# Lid-driven cavity flow - moment-based boundary-condition validation (issue #921).\n",
       "#\n",
       "# A square cavity (L x L, 2-D D2Q9) with three stationary no-slip walls and a\n",
       "# top lid translating at a constant velocity U. This is the canonical benchmark\n",
       "# for validating moment-based boundary conditions in the LBM\n",
       "# (Mohammed & Reis 2017): the lid is the moment-based moving wall\n",
       "# `RegularizedVelocityWall` (imposes u = (U, 0), takes the density\n",
       "# zero-normal-gradient from the interior, derives the rate-of-strain from the\n",
       "# one-sided wall-normal finite difference), and the three static walls are the\n",
       "# no-slip `RegularizedHWBB` (the u_wall = 0 case of the same closure). All walls\n",
       "# use the default extrapolated (zero-normal-gradient) density - no `rho_wall` is\n",
       "# set, which is the physically correct closure for a recirculating cavity where\n",
       "# the wall pressure varies. No population bounce-back is used anywhere.\n",
       "#\n",
       "# Reference solution\n",
       "# ------------------\n",
       "# There is no closed form; the accepted benchmark is the multigrid Navier-Stokes\n",
       "# solution of Ghia, Ghia & Shin (1982), tabulated as:\n",
       "#   - u along the vertical centreline x = L/2, as a function of y, and\n",
       "#   - v along the horizontal centreline y = L/2, as a function of x,\n",
       "# for Re = 100, 400, 1000 (digitised tables in reference/). The simulation must\n",
       "# reproduce these centreline profiles, including the sign reversals of the\n",
       "# primary vortex and the near-wall extrema.\n",
       "#\n",
       "# Reynolds-number sweep\n",
       "# ---------------------\n",
       "# Re = U L / nu is swept over {100, 400, 1000} via `!unroll`, holding the grid\n",
       "# (L = 256) and the lid speed (U = 0.05, so Ma = U*sqrt(3) ~= 0.087 < 0.1) fixed\n",
       "# and varying the viscosity through tau = 3 nu + 1/2:\n",
       "#   Re = 100  -> nu = 0.128   -> tau = 0.8840\n",
       "#   Re = 400  -> nu = 0.032   -> tau = 0.5960\n",
       "#   Re = 1000 -> nu = 0.0128  -> tau = 0.5384\n",
       "# The 256-grid resolves the near-wall velocity extrema that the Ghia tables\n",
       "# probe densely. Higher Re converges to steady state more slowly, so n_steps\n",
       "# grows with Re. sim_id 0 = Re 100, 1 = Re 400, 2 = Re 1000 (the notebook\n",
       "# indexes by this order).\n",
       "\n",
       "simulations:\n",
       "  - name: lidDrivenCavity\n",
       "    save_path: !unroll\n",
       "      - ./validation/analytical/05_lid_driven_cavity/results/re_100\n",
       "      - ./validation/analytical/05_lid_driven_cavity/results/re_400\n",
       "      - ./validation/analytical/05_lid_driven_cavity/results/re_1000\n",
       "\n",
       "    n_steps: !unroll [300000, 500000, 800000]\n",
       "\n",
       "    report:\n",
       "      frequency: 40000\n",
       "\n",
       "    domain:\n",
       "      domain_size:\n",
       "        x: 256\n",
       "        y: 256\n",
       "      block_size: 8\n",
       "\n",
       "    data:\n",
       "      # Default guard (rho non-finite -> stop, checked every 10 steps).\n",
       "      monitors:\n",
       "        fields:\n",
       "          # Watch the flow settle to steady state (the velocity extrema stop\n",
       "          # moving) and catch any blow-up early.\n",
       "          macrs_stats:\n",
       "            macrs: [rho, u]\n",
       "            stats: [min, max, mean]\n",
       "            interval: {frequency: 1000}\n",
       "      exports:\n",
       "        # ~20 volume snapshots per case so the notebook can confirm the\n",
       "        # centreline profiles have reached steady state and read the last one.\n",
       "        default:\n",
       "          macrs: [rho, u]\n",
       "          interval: !unroll\n",
       "            - {frequency: 15000, lvl: 0}\n",
       "            - {frequency: 25000, lvl: 0}\n",
       "            - {frequency: 40000, lvl: 0}\n",
       "          target:\n",
       "            volumes:\n",
       "              default: {}\n",
       "          outputs:\n",
       "            instantaneous: true\n",
       "\n",
       "    models:\n",
       "      precision:\n",
       "        default: single\n",
       "        calculations: double\n",
       "\n",
       "      LBM:\n",
       "        tau: !unroll [0.8840, 0.5960, 0.5384]\n",
       "        vel_set: D2Q9\n",
       "        coll_oper: RRBGK\n",
       "\n",
       "      engine:\n",
       "        name: CUDA\n",
       "\n",
       "      BC:\n",
       "        periodic_dims: [false, false]\n",
       "        BC_map:\n",
       "          # Moving lid: moment-based velocity wall translating at +x.\n",
       "          - pos: N\n",
       "            BC: RegularizedVelocityWall\n",
       "            wall_normal: N\n",
       "            order: 1\n",
       "            params:\n",
       "              ux: 0.05\n",
       "              uy: 0\n",
       "          # Three stationary no-slip walls (u_wall = 0 case of the same closure).\n",
       "          - pos: S\n",
       "            BC: RegularizedHWBB\n",
       "            wall_normal: S\n",
       "            order: 1\n",
       "          - pos: W\n",
       "            BC: RegularizedHWBB\n",
       "            wall_normal: W\n",
       "            order: 0\n",
       "          - pos: E\n",
       "            BC: RegularizedHWBB\n",
       "            wall_normal: E\n",
       "            order: 0"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Code\n",
    "\n",
    "Code(filename=filename)"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "nassu (3.12.13)",
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   "codemirror_mode": {
    "name": "ipython",
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