Spaces:
Running
Running
| import argparse | |
| import os | |
| import numpy as np | |
| def verify(file_path): | |
| if not os.path.exists(file_path): | |
| print(f"File not found: {file_path}") | |
| return | |
| data = np.load(file_path) | |
| print(f"File: {file_path}") | |
| print(f"Keys: {list(data.keys())}") | |
| print(f"States shape: {data['states'].shape}") | |
| print(f"Policies shape: {data['policies'].shape}") | |
| print(f"Winners shape: {data['winners'].shape}") | |
| unique_winners = np.unique(data["winners"]) | |
| print(f"Unique winners: {unique_winners}") | |
| if len(data["winners"]) > 0: | |
| print(f"Winner mean: {np.mean(data['winners'])}") | |
| print(f"Draw percentage: {np.mean(data['winners'] == 0) * 100:.1f}%") | |
| # Check sum of policy | |
| print(f"Sum of policy 0: {np.sum(data['policies'][0])}") | |
| if __name__ == "__main__": | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--file", type=str, default="ai/data/data_poc_800.npz") | |
| args = parser.parse_args() | |
| verify(args.file) | |