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import os
import datasets as ds
import pytest
@pytest.fixture
def dataset_path() -> str:
return "CAMERA.py"
def test_load_dataset_without_lp_images(
dataset_path: str,
expected_train_num_rows: int = 12395,
expected_val_num_rows: int = 3098,
expected_test_num_rows: int = 872,
):
dataset = ds.load_dataset(path=dataset_path, name="without-lp-images")
assert dataset["train"].num_rows == expected_train_num_rows # type: ignore
assert dataset["validation"].num_rows == expected_val_num_rows # type: ignore
assert dataset["test"].num_rows == expected_test_num_rows # type: ignore
@pytest.mark.skipif(
bool(os.environ.get("CI", False)),
reason="Because this test downloads a large data set, we will skip running it on CI.",
)
def test_load_dataset_with_lp_images(
dataset_path: str,
expected_train_num_rows: int = 12395,
expected_val_num_rows: int = 3098,
expected_test_num_rows: int = 872,
):
dataset = ds.load_dataset(path=dataset_path, name="with-lp-images")
assert dataset["train"].num_rows == expected_train_num_rows # type: ignore
assert dataset["validation"].num_rows == expected_val_num_rows # type: ignore
assert dataset["test"].num_rows == expected_test_num_rows # type: ignore
assert "lp_image" in dataset["train"].column_names
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