| """Reference repair for validation only; excluded from training images.""" | |
| from pathlib import Path | |
| path = Path('src/mrinufft/density/geometry_based.py') | |
| with path.open('a') as output: | |
| output.write(''' | |
| @register_density | |
| @flat_traj | |
| def cell_count(traj, shape, osf=1.0): | |
| if len(shape) != traj.shape[-1]: | |
| raise ValueError("Shape and trajectory dimensions must agree") | |
| bins = np.asarray([int(size * osf) for size in shape]) | |
| if np.any(bins <= 0): | |
| raise ValueError("Grid dimensions must be positive") | |
| cells = np.floor((traj + 0.5) * bins).astype(int) | |
| cells = np.clip(cells, 0, bins - 1) | |
| _, inverse, counts = np.unique(cells, axis=0, return_inverse=True, return_counts=True) | |
| return _normalize_weights(counts[inverse]) | |
| ''') | |
| path = Path('src/mrinufft/density/__init__.py') | |
| text = path.read_text().replace('from .geometry_based import voronoi', 'from .geometry_based import voronoi, cell_count') | |
| text = text.replace('__all__ = [', '__all__ = [\n "cell_count",') | |
| path.write_text(text) | |