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| from __future__ import annotations | |
| from typing import Callable | |
| import pytest | |
| from tests._shared.dataset_generation import ( | |
| DatasetCase, | |
| DatasetFactoryCache, | |
| GeneratedDataset, | |
| ) | |
| pytestmark = pytest.mark.dataset | |
| def dataset_factory(tmp_path_factory) -> Callable[[DatasetCase], GeneratedDataset]: | |
| cache_root = tmp_path_factory.mktemp("robomme_dataset_cache", numbered=False) | |
| cache = DatasetFactoryCache(cache_root) | |
| return cache.get | |
| def video_unmaskswap_train_ep0_dataset(dataset_factory) -> GeneratedDataset: | |
| from robomme.env_record_wrapper import BenchmarkEnvBuilder | |
| builder = BenchmarkEnvBuilder( | |
| env_id="VideoUnmaskSwap", | |
| dataset="train", | |
| action_space="joint_angle", | |
| gui_render=False, | |
| ) | |
| seed, difficulty = builder.resolve_episode(0) | |
| case = DatasetCase( | |
| env_id="VideoUnmaskSwap", | |
| episode=0, | |
| base_seed=int(seed) if seed is not None else 0, | |
| difficulty=str(difficulty) if difficulty else None, | |
| save_video=True, | |
| mode_tag="obs_train_ep0", | |
| ) | |
| return dataset_factory(case) | |