Datasets:
Download scripts/get_dataset_sizes.py from paeslemesa/matchgeodem: direct link, hf CLI and curl.
- Browser
- Download file 2.53 kB
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https://huggingface.co/datasets/paeslemesa/matchgeodem/resolve/main/scripts/get_dataset_sizes.py
- Command line
-
hf download hf://datasets/paeslemesa/matchgeodem/scripts/get_dataset_sizes.py
-
curl -L -o get_dataset_sizes.py https://huggingface.co/datasets/paeslemesa/matchgeodem/resolve/main/scripts/get_dataset_sizes.py
2.53 kB
| import os | |
| from pathlib import Path | |
| import json | |
| areas = {'ATA_MV', 'BRA_SP', 'CHN_WS', 'ESP_EH', 'FIN_LM', 'GER_BN', 'IDN_SV', | |
| 'KAZ_AC', 'KSA_WA', 'NAM_HF', 'NZL_KP', 'PHL_TA', 'USA_GC'} | |
| data_path = Path("/home/sabrina/Documents/Tese/05_Dataset/MatchGeo-DEM-v1/data/") | |
| print("=" * 80) | |
| print("MatchGeo-DEM Directory Size Report") | |
| print("=" * 80) | |
| print(f"{'City':<12} {'Tiles':>8} {'Merged (MB)':>12} {'Tiles (MB)':>12} {'Total (MB)':>12} {'Total (GB)':>10}") | |
| print("-" * 80) | |
| total_size = 0 | |
| total_tiles = 0 | |
| results = {} | |
| for location in sorted(areas): | |
| loc_path = data_path / location | |
| if not loc_path.exists(): | |
| print(f"{location:<12} {'N/A':>8} {'N/A':>12} {'N/A':>12} {'N/A':>12} {'N/A':>10}") | |
| continue | |
| # Count tiles | |
| tiles_dir = loc_path / "tiles" | |
| n_tiles = 0 | |
| tiles_size = 0 | |
| if tiles_dir.exists(): | |
| for f in tiles_dir.iterdir(): | |
| if f.suffix == '.tif': | |
| n_tiles += 1 | |
| tiles_size += f.stat().st_size | |
| # Merged file size | |
| merged_file = loc_path / f"{location}.tif" | |
| merged_size = merged_file.stat().st_size if merged_file.exists() else 0 | |
| # Also check fixed file | |
| fixed_file = loc_path / f"{location}.fixed.tif" | |
| if fixed_file.exists(): | |
| merged_size = max(merged_size, fixed_file.stat().st_size) | |
| # Total size | |
| city_total = merged_size + tiles_size | |
| # Convert to MB/GB | |
| merged_mb = merged_size / (1024 * 1024) | |
| tiles_mb = tiles_size / (1024 * 1024) | |
| total_mb = city_total / (1024 * 1024) | |
| total_gb = city_total / (1024 * 1024 * 1024) | |
| print(f"{location:<12} {n_tiles:>8} {merged_mb:>12.1f} {tiles_mb:>12.1f} {total_mb:>12.1f} {total_gb:>10.2f}") | |
| total_size += city_total | |
| total_tiles += n_tiles | |
| results[location] = { | |
| "n_tiles": n_tiles, | |
| "merged_mb": round(merged_mb, 2), | |
| "tiles_mb": round(tiles_mb, 2), | |
| "total_mb": round(total_mb, 2), | |
| "total_gb": round(total_gb, 2) | |
| } | |
| print("-" * 80) | |
| total_mb = total_size / (1024 * 1024) | |
| total_gb = total_size / (1024 * 1024 * 1024) | |
| print(f"{'TOTAL':<12} {total_tiles:>8} {'---':>12} {'---':>12} {total_mb:>12.1f} {total_gb:>10.2f}") | |
| print("=" * 80) | |
| # Save to JSON | |
| output_path = data_path.parent / "size_report.json" | |
| with open(output_path, 'w') as f: | |
| json.dump({ | |
| "per_city": results, | |
| "total_tiles": total_tiles, | |
| "total_mb": round(total_mb, 2), | |
| "total_gb": round(total_gb, 2) | |
| }, f, indent=2) | |
| print(f"\n✅ Size report saved to: {output_path}") | |