def get_bookmarks()

in understanding_rl_vision/rl_clarity/interface.py [0:0]

• 19 lines of code
• 6 McCabe index (conditional complexity)

def get_bookmarks(trajectories, *, sign, num):
    advantages = trajectories["advantages"]
    dones = trajectories["dones"].copy()
    dones[:, -1] = np.ones_like(dones[:, -1])
    high_scores_and_coords = []
    for trajectory in range(advantages.shape[0]):
        high_score = 0
        high_score_coords = None
        for step in range(advantages.shape[1]):
            score = advantages[trajectory][step] * sign
            if score > high_score:
                high_score = score
                high_score_coords = (trajectory, step)
            if dones[trajectory][step] and high_score_coords is not None:
                high_scores_and_coords.append((high_score, high_score_coords))
                high_score = 0
                high_score_coords = None
    high_scores_and_coords.sort(key=lambda x: -x[0])
    return list(map(lambda x: x[1], high_scores_and_coords[:num]))