mirror of
https://github.com/huggingface/lerobot.git
synced 2026-07-05 17:17:01 +00:00
Mahbod
fc262fbc06
Setting a 1-D feature with shape=(0,) builds datasets.Sequence(length=0, ...), which pyarrow rejects with ArrowInvalid: list_size needs to be a strict positive integer when datasets.Dataset.from_dict(...) is called inside save_episode. Use length=-1 (variable-length) for zero-width 1-D shapes. Fixes the second half of #3654 (the first half is #3664, in compute_episode_stats).
30 lines
1.1 KiB
Python
30 lines
1.1 KiB
Python
#!/usr/bin/env python
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# 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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pytest.importorskip("datasets", reason="datasets is required (install lerobot[dataset])")
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import datasets
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from lerobot.datasets.feature_utils import get_hf_features_from_features
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def test_get_hf_features_zero_width_feature_does_not_raise_on_from_dict():
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features = {"empty": {"dtype": "float32", "shape": (0,), "names": ["empty"]}}
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hf_features = get_hf_features_from_features(features)
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datasets.Dataset.from_dict({"empty": [[], []]}, features=hf_features)
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