Download scripts/check_ic.py from AlanZee/diffvof-simulation-data: direct link, hf CLI and curl.
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https://huggingface.co/datasets/AlanZee/diffvof-simulation-data/resolve/ce593d486a2b73f5e51cb1706091944f79740887/scripts/check_ic.py
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hf download hf://datasets/AlanZee/diffvof-simulation-data@ce593d486a2b73f5e51cb1706091944f79740887/scripts/check_ic.py
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curl -L -o check_ic.py https://huggingface.co/datasets/AlanZee/diffvof-simulation-data/resolve/ce593d486a2b73f5e51cb1706091944f79740887/scripts/check_ic.py
2.25 kB
| import re, numpy as np | |
| def read_foam_scalar(path): | |
| with open(path) as f: | |
| content = f.read() | |
| m = re.search(r'List<scalar>\s+(\d+)', content) | |
| if not m: return None, 0 | |
| n = int(m.group(1)) | |
| start = content.find('(', m.end()) + 1 | |
| end = content.find(')', start) | |
| vals = np.array([float(x) for x in content[start:end].split()]) | |
| return vals, n | |
| cases = [ | |
| ("rising_bubble", "t00", 128, 256, 1.0, 2.0), | |
| ("droplet_impact", "t00", 256, 256, 0.025, 0.025), | |
| ("dam_break", "t00", 128, 128, 0.584, 0.584), | |
| ] | |
| for case, t, nx, ny, Lx, Ly in cases: | |
| path = f"/home/alanz/openfoam-workspace/output/data/{case}/{t}/0/alpha.water" | |
| vals, n = read_foam_scalar(path) | |
| if vals is None: | |
| print(f"{case}: FAILED to read") | |
| continue | |
| # OpenFOAM x-fastest: idx = i + j*nx, so reshape to (ny, nx) | |
| # np.where returns (row_idx, col_idx) = (y_idx, x_idx) | |
| arr = vals.reshape(ny, nx) | |
| if case == "rising_bubble": | |
| region = arr < 0.5 # bubble is alpha=0 | |
| label = "bubble" | |
| elif case == "droplet_impact": | |
| region = arr > 0.5 # droplet is alpha=1 | |
| label = "droplet" | |
| else: | |
| region = arr > 0.5 # water column is alpha=1 | |
| label = "water" | |
| if region.sum() > 0: | |
| y_idx, x_idx = np.where(region) | |
| r_eq = np.sqrt(region.sum() / np.pi) | |
| dx = Lx / nx | |
| dy = Ly / ny | |
| # Cell center coordinates (0.5 offset for center of cell) | |
| cx_phys = (x_idx.mean() + 0.5) * dx | |
| cy_phys = (y_idx.mean() + 0.5) * dy | |
| r_phys = r_eq * dx # isotropic: dx == dy for these cases | |
| print(f"{case}: {label}") | |
| print(f" cells={region.sum()}, r_eq={r_eq:.1f} cells ({r_phys*1000:.2f}mm)") | |
| print(f" center=({cx_phys*1000:.2f}mm, {cy_phys*1000:.2f}mm)") | |
| print(f" domain={Lx*1000:.1f}x{Ly*1000:.1f}mm, dx=dy={dx*1000:.4f}mm") | |
| print(f" x_cells=[{x_idx.min()},{x_idx.max()}], y_cells=[{y_idx.min()},{y_idx.max()}]") | |
| # Shape aspect ratio | |
| span_x = (x_idx.max() - x_idx.min() + 1) | |
| span_y = (y_idx.max() - y_idx.min() + 1) | |
| print(f" span=({span_x},{span_y}) cells, aspect={span_x/span_y:.2f}") | |
| else: | |
| print(f"{case}: NO {label} region found") | |