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| #!/usr/bin/env python3 | |
| """Debug script for poor episode test.""" | |
| import numpy as np | |
| from env.grader import EpisodeGrader | |
| grader = EpisodeGrader() | |
| # Poor episode: highly variable utilization, high resources, negative rewards | |
| states = [ | |
| np.array([20.0 + i*8.0, 30.0 + i*7.0, 50, 10], dtype=np.float32) | |
| for i in range(10) | |
| ] | |
| actions = [0, 2, 0, 2, 1, 0, 2, 1, 0, 2] # Erratic actions | |
| rewards = [-3.0] * 10 # Very negative rewards | |
| result = grader.grade_episode(states, actions, rewards) | |
| print(f"Result: {result}") | |
| print(f"Score: {result['score']:.4f}") | |
| print(f"Passed: {result['passed']}") | |
| print(f"Pass threshold: {grader.pass_threshold}") | |
| print(f"Stability: {result['stability_score']:.4f}") | |
| print(f"Efficiency: {result['efficiency_score']:.4f}") | |
| print(f"Avg Reward: {result['avg_reward']:.4f}") | |