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import os
import datasets as ds
import pytest
@pytest.fixture
def dataset_path() -> str:
return "PosterErase.py"
@pytest.mark.skipif(
condition=bool(os.environ.get("CI", False)),
reason=(
"Because this loading script downloads a large dataset, "
"we will skip running it on CI."
),
)
@pytest.mark.parametrize(
argnames=("expected_num_train", "expected_num_valid", "expected_num_test"),
argvalues=((58114, 148, 146),),
)
def test_load_dataset(
dataset_path: str,
expected_num_train: int,
expected_num_valid: int,
expected_num_test: int,
):
dataset = ds.load_dataset(path=dataset_path, token=True)
assert dataset["train"].num_rows == expected_num_train
assert dataset["validation"].num_rows == expected_num_valid
assert dataset["test"].num_rows == expected_num_test
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