from os import environ
from functools import wraps
import platform
import sys
from contextlib import suppress
from unittest import SkipTest
import pytest
import numpy as np
from threadpoolctl import threadpool_limits
from _pytest.doctest import DoctestItem
from sklearn.utils import _IS_32BIT
from sklearn.utils._openmp_helpers import _openmp_effective_n_threads
from sklearn._min_dependencies import PYTEST_MIN_VERSION
from sklearn.utils.fixes import sp_version
from sklearn.utils.fixes import parse_version
from sklearn.datasets import fetch_20newsgroups
from sklearn.datasets import fetch_20newsgroups_vectorized
from sklearn.datasets import fetch_california_housing
from sklearn.datasets import fetch_covtype
from sklearn.datasets import fetch_kddcup99
from sklearn.datasets import fetch_olivetti_faces
from sklearn.datasets import fetch_rcv1
from sklearn.tests import random_seed
if parse_version(pytest.__version__) < parse_version(PYTEST_MIN_VERSION):
raise ImportError(
"Your version of pytest is too old, you should have "
"at least pytest >= {} installed.".format(PYTEST_MIN_VERSION)
)
scipy_datasets_require_network = sp_version >= parse_version("1.10")
def raccoon_face_or_skip():
# SciPy >= 1.10 requires network to access to get data
if scipy_datasets_require_network:
run_network_tests = environ.get("SKLEARN_SKIP_NETWORK_TESTS", "1") == "0"
if not run_network_tests:
raise SkipTest("test is enabled when SKLEARN_SKIP_NETWORK_TESTS=0")
try:
import pooch # noqa
except ImportError:
raise SkipTest("test requires pooch to be installed")
from scipy.datasets import face
else:
from scipy.misc import face
return face(gray=True)
dataset_fetchers = {
"fetch_20newsgroups_fxt": fetch_20newsgroups,
"fetch_20newsgroups_vectorized_fxt": fetch_20newsgroups_vectorized,
"fetch_california_housing_fxt": fetch_california_housing,
"fetch_covtype_fxt": fetch_covtype,
"fetch_kddcup99_fxt": fetch_kddcup99,
"fetch_olivetti_faces_fxt": fetch_olivetti_faces,
"fetch_rcv1_fxt": fetch_rcv1,
}
if scipy_datasets_require_network:
dataset_fetchers["raccoon_face_fxt"] = raccoon_face_or_skip
_SKIP32_MARK = pytest.mark.skipif(
environ.get("SKLEARN_RUN_FLOAT32_TESTS", "0") != "1",
reason="Set SKLEARN_RUN_FLOAT32_TESTS=1 to run float32 dtype tests",
)
# Global fixtures
@pytest.fixture(params=[pytest.param(np.float32, marks=_SKIP32_MARK), np.float64])
def global_dtype(request):
yield request.param
def _fetch_fixture(f):
"""Fetch dataset (download if missing and requested by environment)."""
download_if_missing = environ.get("SKLEARN_SKIP_NETWORK_TESTS", "1") == "0"
@wraps(f)
def wrapped(*args, **kwargs):
kwargs["download_if_missing"] = download_if_missing
try:
return f(*args, **kwargs)
except IOError as e:
if str(e) != "Data not found and `download_if_missing` is False":
raise
pytest.skip("test is enabled when SKLEARN_SKIP_NETWORK_TESTS=0")
return pytest.fixture(lambda: wrapped)
# Adds fixtures for fetching data
fetch_20newsgroups_fxt = _fetch_fixture(fetch_20newsgroups)
fetch_20newsgroups_vectorized_fxt = _fetch_fixture(fetch_20newsgroups_vectorized)
fetch_california_housing_fxt = _fetch_fixture(fetch_california_housing)
fetch_covtype_fxt = _fetch_fixture(fetch_covtype)
fetch_kddcup99_fxt = _fetch_fixture(fetch_kddcup99)
fetch_olivetti_faces_fxt = _fetch_fixture(fetch_olivetti_faces)
fetch_rcv1_fxt = _fetch_fixture(fetch_rcv1)
raccoon_face_fxt = pytest.fixture(raccoon_face_or_skip)
def pytest_collection_modifyitems(config, items):
"""Called after collect is completed.
Parameters
----------
config : pytest config
items : list of collected items
"""
run_network_tests = environ.get("SKLEARN_SKIP_NETWORK_TESTS", "1") == "0"
skip_network = pytest.mark.skip(
reason="test is enabled when SKLEARN_SKIP_NETWORK_TESTS=0"
)
# download datasets during collection to avoid thread unsafe behavior
# when running pytest in parallel with pytest-xdist
dataset_features_set = set(dataset_fetchers)
datasets_to_download = set()
for item in items:
if not hasattr(item, "fixturenames"):
continue
item_fixtures = set(item.fixturenames)
dataset_to_fetch = item_fixtures & dataset_features_set
if not dataset_to_fetch:
continue
if run_network_tests:
datasets_to_download |= dataset_to_fetch
else:
# network tests are skipped
item.add_marker(skip_network)
# Only download datasets on the first worker spawned by pytest-xdist
# to avoid thread unsafe behavior. If pytest-xdist is not used, we still
# download before tests run.
worker_id = environ.get("PYTEST_XDIST_WORKER", "gw0")
if worker_id == "gw0" and run_network_tests:
for name in datasets_to_download:
with suppress(SkipTest):
dataset_fetchers[name]()
for item in items:
# Known failure on with GradientBoostingClassifier on ARM64
if (
item.name.endswith("GradientBoostingClassifier")
and platform.machine() == "aarch64"
):
marker = pytest.mark.xfail(
reason=(
"know failure. See "
"https://github.com/scikit-learn/scikit-learn/issues/17797" # noqa
)
)
item.add_marker(marker)
skip_doctests = False
try:
import matplotlib # noqa
except ImportError:
skip_doctests = True
reason = "matplotlib is required to run the doctests"
if _IS_32BIT:
reason = "doctest are only run when the default numpy int is 64 bits."
skip_doctests = True
elif sys.platform.startswith("win32"):
reason = (
"doctests are not run for Windows because numpy arrays "
"repr is inconsistent across platforms."
)
skip_doctests = True
# Normally doctest has the entire module's scope. Here we set globs to an empty dict
# to remove the module's scope:
# https://docs.python.org/3/library/doctest.html#what-s-the-execution-context
for item in items:
if isinstance(item, DoctestItem):
item.dtest.globs = {}
if skip_doctests:
skip_marker = pytest.mark.skip(reason=reason)
for item in items:
if isinstance(item, DoctestItem):
# work-around an internal error with pytest if adding a skip
# mark to a doctest in a contextmanager, see
# https://github.com/pytest-dev/pytest/issues/8796 for more
# details.
if item.name != "sklearn._config.config_context":
item.add_marker(skip_marker)
try:
import PIL # noqa
pillow_installed = True
except ImportError:
pillow_installed = False
if not pillow_installed:
skip_marker = pytest.mark.skip(reason="pillow (or PIL) not installed!")
for item in items:
if item.name in [
"sklearn.feature_extraction.image.PatchExtractor",
"sklearn.feature_extraction.image.extract_patches_2d",
]:
item.add_marker(skip_marker)
@pytest.fixture(scope="function")
def pyplot():
"""Setup and teardown fixture for matplotlib.
This fixture checks if we can import matplotlib. If not, the tests will be
skipped. Otherwise, we close the figures before and after running the
functions.
Returns
-------
pyplot : module
The ``matplotlib.pyplot`` module.
"""
pyplot = pytest.importorskip("matplotlib.pyplot")
pyplot.close("all")
yield pyplot
pyplot.close("all")
def pytest_runtest_setup(item):
"""Set the number of openmp threads based on the number of workers
xdist is using to prevent oversubscription.
Parameters
----------
item : pytest item
item to be processed
"""
xdist_worker_count = environ.get("PYTEST_XDIST_WORKER_COUNT")
if xdist_worker_count is None:
# returns if pytest-xdist is not installed
return
else:
xdist_worker_count = int(xdist_worker_count)
openmp_threads = _openmp_effective_n_threads()
threads_per_worker = max(openmp_threads // xdist_worker_count, 1)
threadpool_limits(threads_per_worker, user_api="openmp")
def pytest_configure(config):
# Use matplotlib agg backend during the tests including doctests
try:
import matplotlib
matplotlib.use("agg")
except ImportError:
pass
# Register global_random_seed plugin if it is not already registered
if not config.pluginmanager.hasplugin("sklearn.tests.random_seed"):
config.pluginmanager.register(random_seed)