35 lines
1.3 KiB
Python
35 lines
1.3 KiB
Python
# Copyright 2024 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 torch
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from datasets import Dataset
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from lerobot.common.datasets.push_dataset_to_hub.utils import calculate_episode_data_index
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from lerobot.common.datasets.utils import (
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hf_transform_to_torch,
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)
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def test_calculate_episode_data_index():
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dataset = Dataset.from_dict(
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{
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"timestamp": [0.1, 0.2, 0.3, 0.4, 0.5, 0.6],
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"index": [0, 1, 2, 3, 4, 5],
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"episode_index": [0, 0, 1, 2, 2, 2],
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},
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)
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dataset.set_transform(hf_transform_to_torch)
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episode_data_index = calculate_episode_data_index(dataset)
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assert torch.equal(episode_data_index["from"], torch.tensor([0, 2, 3]))
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assert torch.equal(episode_data_index["to"], torch.tensor([2, 3, 6]))
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