| """Shared temporal sampling for coaf_dataset_24_25. | |
| RGB (I2V target): 24 frames via uniform indices over raw episode steps. | |
| Reason modalities + state + action: 25 frames via a separate uniform index | |
| array so each reason frame k uses state[k] and action[k] from the same | |
| raw timestep. | |
| """ | |
| from __future__ import annotations | |
| import numpy as np | |
| RGB_FRAMES = 24 | |
| REASON_FRAMES = 25 | |
| def sampled_indices(length: int, target: int) -> np.ndarray: | |
| """Uniformly sample `target` indices in [0, length - 1].""" | |
| if length < 1: | |
| raise ValueError(f"length must be >= 1, got {length}") | |
| if target < 1: | |
| raise ValueError(f"target must be >= 1, got {target}") | |
| if length < target: | |
| raise ValueError(f"length {length} < target {target}") | |
| return np.linspace(0, length - 1, target).astype(np.int64) | |
| def rgb_indices(num_steps: int) -> np.ndarray: | |
| return sampled_indices(num_steps, RGB_FRAMES) | |
| def reason_indices(num_steps: int) -> np.ndarray: | |
| return sampled_indices(num_steps, REASON_FRAMES) | |