Download src/split_dataset.py from RosettaCommons/ProteinMPNN: direct link, hf CLI and curl.
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3.46 kB
| import pandas as pd | |
| import shutil | |
| import os | |
| import glob | |
| # ============================================================ | |
| # CONFIGURATION - Edit these paths as needed | |
| # ============================================================ | |
| PDB_ROOT = "pdb" | |
| OUTPUT_ROOT = "pdb_2021aug02" | |
| TRAIN_CSV = "train.csv" | |
| VALIDATION_CSV = "validation.csv" | |
| TEST_CSV = "test.csv" | |
| SPLITS = { | |
| "training": TRAIN_CSV, | |
| "validation": VALIDATION_CSV, | |
| "test": TEST_CSV | |
| } | |
| # ============================================================ | |
| # HELPER FUNCTIONS | |
| # ============================================================ | |
| def get_subfolder(name): | |
| """ | |
| Extract subfolder from filename. | |
| E.g., '1nb4_A' -> 'nb' (characters at index 1 and 2) | |
| """ | |
| # Strip extension if present | |
| base = os.path.splitext(name)[0] | |
| return base[1:3].lower() # e.g., '1nb4_A' -> 'nb' | |
| def read_csv_entries(csv_file): | |
| """ | |
| Read comma-separated entries from a single-line CSV. | |
| E.g., 5naf_A,5naf_B,5naf_C,... | |
| """ | |
| entries = [] | |
| with open(csv_file, 'r') as f: | |
| for line in f: | |
| entries.extend(line.strip().split(',')) | |
| return [e.strip() for e in entries if e.strip()] | |
| def find_pt_file(pdb_root, name): | |
| """ | |
| Locate the .pt file given the entry name. | |
| E.g., '1nb4_A' -> pdb_root/nb/1nb4_A.pt | |
| """ | |
| subfolder = get_subfolder(name) | |
| pt_path = os.path.join(pdb_root, subfolder, f"{name}.pt") | |
| if os.path.exists(pt_path): | |
| return pt_path, subfolder | |
| return None, subfolder | |
| def copy_file(src, dst_dir, filename): | |
| """ | |
| Copy file to destination directory, creating dirs if needed. | |
| """ | |
| os.makedirs(dst_dir, exist_ok=True) | |
| dst = os.path.join(dst_dir, filename) | |
| shutil.copy2(src, dst) | |
| return dst | |
| # ============================================================ | |
| # MAIN | |
| # ============================================================ | |
| def main(): | |
| stats = {} | |
| for split_name, csv_file in SPLITS.items(): | |
| print(f"\n{'='*50}") | |
| print(f"Processing: {split_name.upper()} <- {csv_file}") | |
| print(f"{'='*50}") | |
| if not os.path.exists(csv_file): | |
| print(f" [WARNING] CSV file not found: {csv_file}") | |
| continue | |
| entries = read_csv_entries(csv_file) | |
| print(f" Total entries found in CSV: {len(entries)}") | |
| copied = 0 | |
| missing = [] | |
| for name in entries: | |
| src_path, subfolder = find_pt_file(PDB_ROOT, name) | |
| if src_path: | |
| # Destination: e.g., OUTPUT_ROOT/validation/nb/1nb4_A.pt | |
| dst_dir = os.path.join(OUTPUT_ROOT, split_name, subfolder) | |
| copy_file(src_path, dst_dir, f"{name}.pt") | |
| copied += 1 | |
| else: | |
| missing.append(name) | |
| print(f"Copied : {copied}") | |
| print(f"Missing : {len(missing)}") | |
| if missing: | |
| missing_log = os.path.join(OUTPUT_ROOT, f"{split_name}_missing.txt") | |
| with open(missing_log, "w") as f: | |
| f.write("\n".join(missing)) | |
| print(f"Missing entries logged to: {missing_log}") | |
| stats[split_name] = {"copied": copied, "missing": len(missing)} | |
| # ---- Summary ---- | |
| print(f"\n{'='*50}") | |
| print("SUMMARY") | |
| print(f"{'='*50}") | |
| for split, s in stats.items(): | |
| print(f" {split:<12}: {s['copied']} copied, {s['missing']} missing") | |
| if __name__ == "__main__": | |
| main() |