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https://github.com/huggingface/lerobot.git
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Pepijn
64b23178d5
* feat(data): add recipe-driven language supervision * test(collate): expect preserved language columns * Address PR review feedback * Address Claude review feedback
65 lines
2.2 KiB
Python
65 lines
2.2 KiB
Python
# Copyright 2026 The HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import pytest
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from lerobot.configs.default import DatasetConfig
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def test_dataset_config_valid():
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DatasetConfig(repo_id="user/repo", episodes=[0, 1, 2])
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def test_dataset_config_negative_episodes():
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with pytest.raises(ValueError, match="non-negative"):
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DatasetConfig(repo_id="user/repo", episodes=[0, -1, 2])
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def test_dataset_config_duplicate_episodes():
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with pytest.raises(ValueError, match="duplicates"):
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DatasetConfig(repo_id="user/repo", episodes=[0, 1, 1, 2])
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def test_dataset_config_none_episodes_ok():
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DatasetConfig(repo_id="user/repo", episodes=None)
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def test_dataset_config_empty_episodes_ok():
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DatasetConfig(repo_id="user/repo", episodes=[])
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def test_dataset_config_ignores_negative_excluded_episodes(caplog):
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config = DatasetConfig(repo_id="user/repo", exclude_episodes=[-2, 1, -1, 3])
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assert config.exclude_episodes == [1, 3]
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assert "Ignoring negative exclude_episodes entries: [-2, -1]" in caplog.text
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def test_dataset_config_bucket_streaming_ok():
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DatasetConfig(repo_id="user/repo", repo_type="bucket", streaming=True)
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def test_dataset_config_invalid_repo_type():
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with pytest.raises(ValueError, match="repo_type"):
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DatasetConfig(repo_id="user/repo", repo_type="model")
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def test_dataset_config_bucket_requires_streaming():
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with pytest.raises(ValueError, match="streaming-only"):
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DatasetConfig(repo_id="user/repo", repo_type="bucket")
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def test_dataset_config_bucket_rejects_eval_split():
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with pytest.raises(ValueError, match="eval_split"):
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DatasetConfig(repo_id="user/repo", repo_type="bucket", streaming=True, eval_split=0.1)
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