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import os |
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import datasets as ds |
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import pytest |
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@pytest.fixture |
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def dataset_path() -> str: |
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return "PKU-PosterLayout.py" |
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@pytest.mark.skipif( |
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condition=bool(os.environ.get("CI", False)), |
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reason=( |
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"Because this loading script downloads a large dataset, " |
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"we will skip running it on CI." |
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), |
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) |
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@pytest.mark.parametrize( |
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argnames=( |
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"expected_num_train", |
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"expected_num_test", |
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), |
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argvalues=((9974, 905),), |
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) |
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def test_load_dataset(dataset_path: str, expected_num_train: int, expected_num_test): |
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dataset = ds.load_dataset(path=dataset_path, token=True) |
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assert dataset["train"].num_rows == expected_num_train |
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assert dataset["test"].num_rows == expected_num_test |
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