conftest.py

import pytest

import datasets
import datasets.config


# Import fixture modules as plugins
pytest_plugins = ["tests.fixtures.files", "tests.fixtures.hub", "tests.fixtures.fsspec"]


def pytest_collection_modifyitems(config, items):
    # Mark tests as "unit" by default if not marked as "integration" (or already marked as "unit")
    for item in items:
        if any(marker in item.keywords for marker in ["integration", "unit"]):
            continue
        item.add_marker(pytest.mark.unit)


def pytest_configure(config):
    config.addinivalue_line("markers", "torchaudio_latest: mark test to run with torchaudio>=0.12")


@pytest.fixture(autouse=True)
def set_test_cache_config(tmp_path_factory, monkeypatch):
    # test_hf_cache_home = tmp_path_factory.mktemp("cache")  # TODO: why a cache dir per test function does not work?
    test_hf_cache_home = tmp_path_factory.getbasetemp() / "cache"
    test_hf_datasets_cache = test_hf_cache_home / "datasets"
    test_hf_metrics_cache = test_hf_cache_home / "metrics"
    test_hf_modules_cache = test_hf_cache_home / "modules"
    monkeypatch.setattr("datasets.config.HF_DATASETS_CACHE", str(test_hf_datasets_cache))
    monkeypatch.setattr("datasets.config.HF_METRICS_CACHE", str(test_hf_metrics_cache))
    monkeypatch.setattr("datasets.config.HF_MODULES_CACHE", str(test_hf_modules_cache))
    test_downloaded_datasets_path = test_hf_datasets_cache / "downloads"
    monkeypatch.setattr("datasets.config.DOWNLOADED_DATASETS_PATH", str(test_downloaded_datasets_path))
    test_extracted_datasets_path = test_hf_datasets_cache / "downloads" / "extracted"
    monkeypatch.setattr("datasets.config.EXTRACTED_DATASETS_PATH", str(test_extracted_datasets_path))


@pytest.fixture(autouse=True, scope="session")
def disable_tqdm_output():
    datasets.disable_progress_bar()


@pytest.fixture(autouse=True)
def set_update_download_counts_to_false(monkeypatch):
    # don't take tests into account when counting downloads
    monkeypatch.setattr("datasets.config.HF_UPDATE_DOWNLOAD_COUNTS", False)


@pytest.fixture
def set_sqlalchemy_silence_uber_warning(monkeypatch):
    # Required to suppress RemovedIn20Warning when feature(s) are not compatible with SQLAlchemy 2.0
    # To be removed once SQLAlchemy 2.0 supported
    try:
        monkeypatch.setattr("sqlalchemy.util.deprecations.SILENCE_UBER_WARNING", True)
    except AttributeError:
        pass


@pytest.fixture(autouse=True, scope="session")
def zero_time_out_for_remote_code():
    datasets.config.TIME_OUT_REMOTE_CODE = 0