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import os
import datasets as ds
import pytest
@pytest.fixture
def dataset_path() -> str:
return "Rico.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=(
"dataset_task",
"expected_num_train",
"expected_num_valid",
"expected_num_test",
),
argvalues=(
("ui-screenshots-and-view-hierarchies", 56322, 3314, 6625),
("ui-layout-vectors", 61288, 3606, 7209),
("interaction-traces", 8749, 513, 1030),
# "animations",
("ui-screenshots-and-hierarchies-with-semantic-annotations", 56322, 3314, 6625),
),
)
def test_load_dataset(
dataset_path: str,
dataset_task: str,
expected_num_train: int,
expected_num_valid: int,
expected_num_test: int,
):
dataset = ds.load_dataset(path=dataset_path, name=dataset_task)
assert dataset["train"].num_rows == expected_num_train
assert dataset["validation"].num_rows == expected_num_valid
assert dataset["test"].num_rows == expected_num_test
@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=("dataset_task", "expected_num_data"),
argvalues=(
("ui-metadata", 66261),
("play-store-metadata", 9384 - 1), # There is one invalid data
),
)
def test_load_metadata(dataset_path: str, dataset_task: str, expected_num_data: int):
metadata = ds.load_dataset(path=dataset_path, name=dataset_task)
assert metadata["metadata"].num_rows == expected_num_data
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