| |
| """Validate supplied input schemas and feature ordering; never fit models.""" |
|
|
| import argparse |
| import json |
|
|
| import numpy as np |
|
|
| import run_experiment as runner |
| from release_support import add_path_arguments |
|
|
|
|
| def main(): |
| parser = argparse.ArgumentParser(description=__doc__) |
| add_path_arguments(parser) |
| args = parser.parse_args() |
| runner.configure_paths(args) |
| ids, scores, runtimes, features, folds = runner.load_inputs() |
| if not np.isfinite(runtimes).all() or (runtimes < 0).any(): |
| raise ValueError("Runtime matrix must contain finite, nonnegative seconds") |
| report = { |
| "status": "pass", "complexes": len(ids), "algorithms": scores.shape[1], |
| "combined_features": features.shape[1], |
| "held_out_fold_sizes": {str(i): int((folds == i).sum()) for i in range(5)}, |
| "feature_order_check": "Exact match to supplied producer-verified feature ID file; provenance is not inferred from dimensions.", |
| "input_files": runner.build_run_context()["input_files"], |
| } |
| print(json.dumps(report, indent=2)) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
