{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Import Libraries" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "data_name = 'driveaer'\n", "data_dir = 'data_prep_transformer'" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "\n", "# import bpy\n", "import os\n", "import re\n", "# import mathutils\n", "import shutil\n", "import numpy as np\n", "from tqdm import tqdm\n", "import pandas as pd\n", "import pyvista as pv\n", "from scipy.interpolate import griddata\n", "import multiprocessing as mp\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "STEPS:\n", "1. Load STL/VTK geometry\n", "2. ADD scalar to mesh if STL else use VTK and Save as VTK\n", "3. Save surface mesh with scalar we want to use\n", "4. Remove outliers\n", "5. GET global normalization params\n", "6. Normalize both geometry and scalar\n", "7. Save Normalzied VTK file" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Step1 : Load STL/VTK files" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "400\n", "['/raid/ansysai/udbhav/alpha_Xdata/raw_data/driveaer/driveaer_1/DrivAer_F_D_WM_WW_0001.vtk', '/raid/ansysai/udbhav/alpha_Xdata/raw_data/driveaer/driveaer_2/DrivAer_F_D_WM_WW_0002.vtk', '/raid/ansysai/udbhav/alpha_Xdata/raw_data/driveaer/driveaer_3/DrivAer_F_D_WM_WW_0003.vtk', '/raid/ansysai/udbhav/alpha_Xdata/raw_data/driveaer/driveaer_4/DrivAer_F_D_WM_WW_0004.vtk', '/raid/ansysai/udbhav/alpha_Xdata/raw_data/driveaer/driveaer_5/DrivAer_F_D_WM_WW_0005.vtk']\n" ] } ], "source": [ "import os\n", "import re\n", "\n", "load_dir = f'/raid/ansysai/udbhav/alpha_Xdata/raw_data/{data_name}/'\n", "# load_dir = f'/tmp/xgm_data/raw_data/{data_name}'\n", "geometry_data = []\n", "\n", "# Loop through each subfolder in the main directory\n", "for subfolder in os.listdir(load_dir):\n", " subfolder_path = os.path.join(load_dir, subfolder)\n", " if os.path.isdir(subfolder_path):\n", " # Collect all .vtk files in the subfolder\n", " vtk_files = [\n", " os.path.join(subfolder_path, x)\n", " for x in os.listdir(subfolder_path) if x.endswith('.vtk')\n", " ]\n", " geometry_data.extend(vtk_files)\n", "\n", "# Sort all files based on the numeric part of the filename\n", "geometry_data = sorted(\n", " geometry_data,\n", " key=lambda x: int(re.search(r'(\\d+)', os.path.splitext(os.path.basename(x))[0]).group(0))\n", ")\n", "\n", "print(len(geometry_data))\n", "print(geometry_data[:5])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# STEP 3: rename scalar name if incorrect" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "ename": "PermissionError", "evalue": "[Errno 13] Permission denied: '/home/alpha_Xdata'", "output_type": "error", "traceback": [ "\u001b[31m---------------------------------------------------------------------------\u001b[39m", "\u001b[31mPermissionError\u001b[39m Traceback (most recent call last)", "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[5]\u001b[39m\u001b[32m, line 2\u001b[39m\n\u001b[32m 1\u001b[39m save_dir = \u001b[33mf\u001b[39m\u001b[33m'\u001b[39m\u001b[33m/home/alpha_Xdata/xgm_data/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdata_dir\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m/1_Incompressible_external_flow/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdata_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m/1_VTK_surface\u001b[39m\u001b[33m'\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m2\u001b[39m \u001b[43mos\u001b[49m\u001b[43m.\u001b[49m\u001b[43mmakedirs\u001b[49m\u001b[43m(\u001b[49m\u001b[43msave_dir\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexist_ok\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n", "\u001b[36mFile \u001b[39m\u001b[32m:215\u001b[39m, in \u001b[36mmakedirs\u001b[39m\u001b[34m(name, mode, exist_ok)\u001b[39m\n", "\u001b[36mFile \u001b[39m\u001b[32m:215\u001b[39m, in \u001b[36mmakedirs\u001b[39m\u001b[34m(name, mode, exist_ok)\u001b[39m\n", " \u001b[31m[... skipping similar frames: makedirs at line 215 (2 times)]\u001b[39m\n", "\u001b[36mFile \u001b[39m\u001b[32m:215\u001b[39m, in \u001b[36mmakedirs\u001b[39m\u001b[34m(name, mode, exist_ok)\u001b[39m\n", "\u001b[36mFile \u001b[39m\u001b[32m:225\u001b[39m, in \u001b[36mmakedirs\u001b[39m\u001b[34m(name, mode, exist_ok)\u001b[39m\n", "\u001b[31mPermissionError\u001b[39m: [Errno 13] Permission denied: '/home/alpha_Xdata'" ] } ], "source": [ "save_dir = f'/home/alpha_Xdata/xgm_data/{data_dir}/1_Incompressible_external_flow/{data_name}/1_VTK_surface'\n", "os.makedirs(save_dir, exist_ok=True)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "\n", "\n", "def map_conditions_to_mesh_points(mesh,**fluid_props ):\n", " # compute scale\n", " scale = [(mesh.points[:,0].max() - mesh.points[:,0].min()) , (mesh.points[:,1].max() - mesh.points[:,1].min()) , (mesh.points[:,2].max() - mesh.points[:,2].min())]\n", "\n", "\n", " field_data = {\n", " \"fluid_density\": fluid_props.get(\"fluid_density\", 1.184),\n", " \"inlet_velocity\": fluid_props.get(\"inlet_velocity\", 30.0),\n", " \"viscosity_dynamic\": fluid_props.get(\"viscosity_dynamic\", 1.847e-5),\n", " 'scale_x': scale[0],\n", " 'scale_y': scale[1],\n", " 'scale_z': scale[2],\n", " \"problem_type\": fluid_props.get(\"problem_type\", 1)\n", " }\n", "\n", "\n", " return field_data\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 400/400 [00:22<00:00, 17.49it/s]\n" ] } ], "source": [ "\n", "def process_single_geometry(args):\n", " global_idx, stl_path, save_dir = args\n", " try:\n", " mesh = pv.read(stl_path)\n", " surf = mesh.extract_surface()\n", "\n", " surf.point_data[\"pressure\"] = surf[\"p\"]\n", "\n", " \n", " out_dir = os.path.join(save_dir, f\"{data_name}_{global_idx}\")\n", " os.makedirs(out_dir, exist_ok=True)\n", "\n", " field_data = map_conditions_to_mesh_points(surf)\n", " for k, v in field_data.items():\n", " surf.field_data[k] = np.array([v])\n", "\n", " vtk_file = os.path.join(out_dir, f\"{data_name}_{global_idx}.vtp\")\n", " surf.save(vtk_file)\n", "\n", "\n", " except Exception as e:\n", " print(f\"[ERROR] global_idx={global_idx} failed on {stl_path} : {e}\")\n", "\n", "# ----------- Build args_list with global_idx for each condition -----------\n", "args_list = []\n", "global_idx = 0\n", "\n", "for idx in range(len(geometry_data)): \n", " args_list.append((global_idx, geometry_data[idx], save_dir))\n", " global_idx += 1\n", "\n", "# ----------- Run in parallel -----------\n", "with mp.Pool(processes=50) as pool:\n", " list(tqdm(pool.imap_unordered(process_single_geometry, args_list), total=len(args_list)))\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Clip data " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "400\n" ] } ], "source": [ "load_dir_surface1 = f'/raid/ansysai/udbhav//alpha_Xdata/xgm_data/{data_dir}/1_Incompressible_external_flow/{data_name}/1_VTK_surface/'\n", "\n", "# Get sorted list of subdirectories like \"artery_0\", \"artery_1\", etc.\n", "subfolders_1 = sorted(\n", " [f for f in os.listdir(load_dir_surface1) if os.path.isdir(os.path.join(load_dir_surface1, f))],\n", " key=lambda x: int(x.split('_')[1]) # sort numerically by index\n", ")\n", "\n", "# Build full paths to each .vtk file inside those folders\n", "vtk_surface_files = [\n", " os.path.join(load_dir_surface1, folder, f'{folder}.vtp') # e.g. /.../artery_0/artery_0.vtk\n", " for folder in subfolders_1\n", "]\n", "\n", "# Get sorted list of subdirectories like \"artery_0\", \"artery_1\", etc.\n", "print(len(vtk_surface_files))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 400/400 [00:04<00:00, 99.31it/s] \n", "100%|██████████| 400/400 [00:04<00:00, 98.47it/s] \n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "all_coordinates dtype: float64\n", "min coords (float64): [-1.14437997 -1.02134001 0. ]\n", "max coords (float64): [4.08646011 1.02122998 1.75308001]\n" ] } ], "source": [ "def load_pressure_scalar(file_path):\n", " try:\n", " mesh = pv.read(file_path)\n", " return mesh['pressure']\n", " except Exception as e:\n", " print(f\"[ERROR] Failed to read pressure from {file_path}: {e}\")\n", " return None\n", "\n", "def load_points(file_path):\n", " try:\n", " mesh = pv.read(file_path)\n", " return mesh.points\n", " except Exception as e:\n", " print(f\"[ERROR] Failed to read points from {file_path}: {e}\")\n", " return None\n", "\n", "# Step 1: Load all pressure values and coordinates in parallel\n", "with mp.Pool(processes=50) as pool:\n", " all_pressure = list(tqdm(pool.imap(load_pressure_scalar, vtk_surface_files), total=len(vtk_surface_files)))\n", " all_coordinates = list(tqdm(pool.imap(load_points, vtk_surface_files), total=len(vtk_surface_files)))\n", " # Convert to float64 and concatenate\n", " all_coordinates = [arr.astype(np.float64) for arr in all_coordinates if arr is not None]\n", " all_coordinates = np.vstack(all_coordinates)\n", " print(\"all_coordinates dtype:\", all_coordinates.dtype)\n", " print(\"min coords (float64):\", all_coordinates.min(axis=0))\n", " print(\"max coords (float64):\", all_coordinates.max(axis=0))\n", "\n", "# Step 2: Filter out None (failed loads), and concatenate\n", "all_pressure = [arr for arr in all_pressure if arr is not None]\n", "all_pressure = np.concatenate(all_pressure)\n", "all_coordinates = [arr for arr in all_coordinates if arr is not None]\n", "all_coordinates = np.vstack(all_coordinates)\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "-667.9592 480.74426\n", "-93.194176 111.9078\n", "(161664241, 3)\n", "[-1.14438 -1.02134 0. ] [4.08646 1.02123 1.75308]\n" ] } ], "source": [ "import matplotlib.pyplot as plt\n", "plt.hist(all_pressure, bins=50)\n", "plt.show()\n", "print(all_pressure.min(), all_pressure.max())\n", "print(all_pressure.mean(), all_pressure.std()) \n", "print(all_coordinates.shape)\n", "print(all_coordinates.min(axis=0), all_coordinates.max(axis=0))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Clipped 484353 values (0.30%) to [-652.733, 466.345] \n" ] } ], "source": [ "mu = np.nanmean(all_pressure) # use mean that ignores NaNs\n", "sigma = np.nanstd(all_pressure) # std that ignores NaNs\n", "\n", "lower, upper = mu - 5*sigma, mu + 5*sigma\n", "\n", "clipped_mask = ((all_pressure < lower) | (all_pressure > upper))\n", "num_clipped = int(np.count_nonzero(clipped_mask))\n", "print(f\"Clipped {num_clipped} values ({num_clipped/all_pressure.size:.2%}) \"\n", " f\"to [{lower:.6g}, {upper:.6g}] \")\n", "\n", "all_pressure_clipped = np.clip(all_pressure, lower, upper) # in-place clip (no extra allocation)\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "-652.73315 466.34482\n", "-93.15071 111.687256\n" ] } ], "source": [ "import matplotlib.pyplot as plt\n", "plt.hist(all_pressure_clipped, bins=50)\n", "plt.show()\n", "print(all_pressure_clipped.min(), all_pressure_clipped.max())\n", "print(all_pressure_clipped.mean(), all_pressure_clipped.std())" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_0/driveaer_0.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_1/driveaer_1.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_2/driveaer_2.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_3/driveaer_3.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_4/driveaer_4.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_5/driveaer_5.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_6/driveaer_6.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_7/driveaer_7.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_8/driveaer_8.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_9/driveaer_9.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_10/driveaer_10.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_11/driveaer_11.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_12/driveaer_12.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_13/driveaer_13.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_14/driveaer_14.vtp',\n", " 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'/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_21/driveaer_21.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_22/driveaer_22.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_23/driveaer_23.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_24/driveaer_24.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_25/driveaer_25.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_26/driveaer_26.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_27/driveaer_27.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_28/driveaer_28.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_29/driveaer_29.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_30/driveaer_30.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_31/driveaer_31.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_32/driveaer_32.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_33/driveaer_33.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_34/driveaer_34.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_35/driveaer_35.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_36/driveaer_36.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_37/driveaer_37.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_38/driveaer_38.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_39/driveaer_39.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_40/driveaer_40.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_41/driveaer_41.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_42/driveaer_42.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_43/driveaer_43.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_44/driveaer_44.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_45/driveaer_45.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_46/driveaer_46.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_47/driveaer_47.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_48/driveaer_48.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_49/driveaer_49.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_50/driveaer_50.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_51/driveaer_51.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_52/driveaer_52.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_53/driveaer_53.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_54/driveaer_54.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_55/driveaer_55.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_56/driveaer_56.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_57/driveaer_57.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_58/driveaer_58.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_59/driveaer_59.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_60/driveaer_60.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_61/driveaer_61.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_62/driveaer_62.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_63/driveaer_63.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_64/driveaer_64.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_65/driveaer_65.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_66/driveaer_66.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_67/driveaer_67.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_68/driveaer_68.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_69/driveaer_69.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_70/driveaer_70.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_71/driveaer_71.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_72/driveaer_72.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_73/driveaer_73.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_74/driveaer_74.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_75/driveaer_75.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_76/driveaer_76.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_77/driveaer_77.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_78/driveaer_78.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_79/driveaer_79.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_80/driveaer_80.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_81/driveaer_81.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_82/driveaer_82.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_83/driveaer_83.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_84/driveaer_84.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_85/driveaer_85.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_86/driveaer_86.vtp',\n", " 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'/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_357/driveaer_357.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_358/driveaer_358.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_359/driveaer_359.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_360/driveaer_360.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_361/driveaer_361.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_362/driveaer_362.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_363/driveaer_363.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_364/driveaer_364.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_365/driveaer_365.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_366/driveaer_366.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_367/driveaer_367.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_368/driveaer_368.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_369/driveaer_369.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_370/driveaer_370.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_371/driveaer_371.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_372/driveaer_372.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_373/driveaer_373.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_374/driveaer_374.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_375/driveaer_375.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_376/driveaer_376.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_377/driveaer_377.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_378/driveaer_378.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_379/driveaer_379.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_380/driveaer_380.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_381/driveaer_381.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_382/driveaer_382.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_383/driveaer_383.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_384/driveaer_384.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_385/driveaer_385.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_386/driveaer_386.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_387/driveaer_387.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_388/driveaer_388.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_389/driveaer_389.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_390/driveaer_390.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_391/driveaer_391.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_392/driveaer_392.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_393/driveaer_393.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_394/driveaer_394.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_395/driveaer_395.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_396/driveaer_396.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_397/driveaer_397.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_398/driveaer_398.vtp',\n", " '/raid/ansysai/udbhav//alpha_Xdata/xgm_data/data_prep_transformer/1_Incompressible_external_flow/driveaer/1_VTK_surface/driveaer_399/driveaer_399.vtp']" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "all_pressure_clipped.mean()\n", "all_pressure_clipped.std()\n", "vtk_surface_files" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# # Choose tails (percent)\n", "# p_low, p_high = 0.1, 99.9 # <- use 99 if you meant 99th percentile\n", "\n", "# # Compute percentiles on finite values only (ignores NaNs/±inf)\n", "\n", "# lower, upper = np.percentile(all_pressure, [p_low, p_high])\n", "\n", "# # Report how many would be clipped\n", "# clipped_mask = ((all_pressure < lower) | (all_pressure > upper))\n", "# num_clipped = int(np.count_nonzero(clipped_mask))\n", "# print(f\"Clipped {num_clipped} values ({num_clipped/all_pressure.size:.2%}) \"\n", "# f\"to [{lower:.6g}, {upper:.6g}] using percentiles [{p_low}%, {p_high}%].\")\n", "\n", "# # In-place clip\n", "# all_pressure_clipped = np.clip(all_pressure, lower, upper)\n", "# print(lower, upper)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 400/400 [00:23<00:00, 17.20it/s]\n" ] } ], "source": [ "\n", "def process_single_geometry(args):\n", " global_idx, stl_path, save_dir = args\n", " try:\n", " mesh = pv.read(stl_path)\n", " mesh['pressure'] = np.clip(mesh['pressure'], lower, upper)\n", "\n", " \n", " out_dir = os.path.join(save_dir, f\"{data_name}_{global_idx}\")\n", " os.makedirs(out_dir, exist_ok=True)\n", "\n", " vtk_file = os.path.join(out_dir, f\"{data_name}_{global_idx}.vtp\")\n", " mesh.save(vtk_file)\n", "\n", "\n", " except Exception as e:\n", " print(f\"[ERROR] global_idx={global_idx} failed on {stl_path} : {e}\")\n", "\n", "# ----------- Build args_list with global_idx for each condition -----------\n", "args_list = []\n", "global_idx = 0\n", "\n", "for idx in range(len(vtk_surface_files)): \n", " args_list.append((global_idx, vtk_surface_files[idx], save_dir))\n", " global_idx += 1\n", "\n", "# ----------- Run in parallel -----------\n", "with mp.Pool(processes=50) as pool:\n", " list(tqdm(pool.imap_unordered(process_single_geometry, args_list), total=len(args_list)))\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Test plot" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python3.9/site-packages/pyvista/plotting/utilities/xvfb.py:48: PyVistaDeprecationWarning: This function is deprecated and will be removed in future version of PyVista. Use vtk-osmesa instead.\n", " warnings.warn(\n" ] } ], "source": [ "import pyvista as pv\n", "pv.start_xvfb()\n", "\n", "data_name = 'driveaer'\n", "data_dir = 'data_prep_full_v2'\n", "sample_num = 10" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "1. PLOT GT VTK" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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problem_typeFieldsint6411.000e+001.000e+00
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" ], "text/plain": [ "PolyData (0x7f268b8ef5e0)\n", " N Cells: 366890\n", " N Points: 399125\n", " N Strips: 0\n", " X Bounds: -9.892e-01, 3.968e+00\n", " Y Bounds: -1.019e+00, 1.019e+00\n", " Z Bounds: 0.000e+00, 1.451e+00\n", " N Arrays: 11" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\n", "meshgt = pv.read(f'/home/alpha_Xdata/xgm_data/{data_dir}/1_Incompressible_external_flow/{data_name}/1_VTK_surface/{data_name}_{sample_num}/{data_name}_{sample_num}.vtp')\n", "meshgt" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python3.9/site-packages/pyvista/jupyter/notebook.py:36: UserWarning: Failed to use notebook backend: \n", "\n", "No module named 'trame.app'\n", "\n", "Falling back to a static output.\n", " warnings.warn(\n" ] }, { "data": { "image/jpeg": 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", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plotter = pv.Plotter()\n", "plotter.add_mesh(meshgt, scalars='pressure', cmap='jet')\n", "\n", "plotter.camera.azimuth = 40\n", "plotter.show()" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Pattern not matched: dr/iveaer_396.vtp\n", "[397, 398, 399, 4, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 5, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 6, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 7, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 8, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 9, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99]\n" ] } ], "source": [ "import re\n", "\n", "file_list = [\n", " 'dr/iveaer_396.vtp', 'driveaer_397.vtp', 'driveaer_398.vtp', 'driveaer_399.vtp', 'driveaer_4.vtp',\n", " 'driveaer_40.vtp', 'driveaer_41.vtp', 'driveaer_42.vtp', 'driveaer_43.vtp', 'driveaer_44.vtp',\n", " 'driveaer_45.vtp', 'driveaer_46.vtp', 'driveaer_47.vtp', 'driveaer_48.vtp', 'driveaer_49.vtp',\n", " 'driveaer_5.vtp', 'driveaer_50.vtp', 'driveaer_51.vtp', 'driveaer_52.vtp', 'driveaer_53.vtp',\n", " 'driveaer_54.vtp', 'driveaer_55.vtp', 'driveaer_56.vtp', 'driveaer_57.vtp', 'driveaer_58.vtp',\n", " 'driveaer_59.vtp', 'driveaer_6.vtp', 'driveaer_60.vtp', 'driveaer_61.vtp', 'driveaer_62.vtp',\n", " 'driveaer_63.vtp', 'driveaer_64.vtp', 'driveaer_65.vtp', 'driveaer_66.vtp', 'driveaer_67.vtp',\n", " 'driveaer_68.vtp', 'driveaer_69.vtp', 'driveaer_7.vtp', 'driveaer_70.vtp', 'driveaer_71.vtp',\n", " 'driveaer_72.vtp', 'driveaer_73.vtp', 'driveaer_74.vtp', 'driveaer_75.vtp', 'driveaer_76.vtp',\n", " 'driveaer_77.vtp', 'driveaer_78.vtp', 'driveaer_79.vtp', 'driveaer_8.vtp', 'driveaer_80.vtp',\n", " 'driveaer_81.vtp', 'driveaer_82.vtp', 'driveaer_83.vtp', 'driveaer_84.vtp', 'driveaer_85.vtp',\n", " 'driveaer_86.vtp', 'driveaer_87.vtp', 'driveaer_88.vtp', 'driveaer_89.vtp', 'driveaer_9.vtp',\n", " 'driveaer_90.vtp', 'driveaer_91.vtp', 'driveaer_92.vtp', 'driveaer_93.vtp', 'driveaer_94.vtp',\n", " 'driveaer_95.vtp', 'driveaer_96.vtp', 'driveaer_97.vtp', 'driveaer_98.vtp', 'driveaer_99.vtp'\n", "]\n", "\n", "# Extract the integer after 'driveaer_' and before '.vtp'\n", "# Only extract numbers from files that match the pattern\n", "int_list = []\n", "for f in file_list:\n", " m = re.search(r'driveaer_(\\d+)\\.vtp', f)\n", " if m:\n", " int_list.append(int(m.group(1)))\n", " else:\n", " print(f\"Pattern not matched: {f}\")\n", "\n", "int_list = (int_list)\n", "print(int_list)\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "comparePhysicsLMenv3", "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": "3.12.11" } }, "nbformat": 4, "nbformat_minor": 2 }