120 lines
3.9 KiB
Python
120 lines
3.9 KiB
Python
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"""
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Pytest configuration and fixtures for the Numpy test suite.
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"""
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import os
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import tempfile
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import hypothesis
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import pytest
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import numpy
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from numpy.core._multiarray_tests import get_fpu_mode
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_old_fpu_mode = None
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_collect_results = {}
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# Use a known and persistent tmpdir for hypothesis' caches, which
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# can be automatically cleared by the OS or user.
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hypothesis.configuration.set_hypothesis_home_dir(
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os.path.join(tempfile.gettempdir(), ".hypothesis")
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)
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# We register two custom profiles for Numpy - for details see
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# https://hypothesis.readthedocs.io/en/latest/settings.html
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# The first is designed for our own CI runs; the latter also
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# forces determinism and is designed for use via np.test()
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hypothesis.settings.register_profile(
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name="numpy-profile", deadline=None, print_blob=True,
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)
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hypothesis.settings.register_profile(
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name="np.test() profile",
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deadline=None, print_blob=True, database=None, derandomize=True,
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suppress_health_check=hypothesis.HealthCheck.all(),
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)
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# Note that the default profile is chosen based on the presence
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# of pytest.ini, but can be overridden by passing the
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# --hypothesis-profile=NAME argument to pytest.
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_pytest_ini = os.path.join(os.path.dirname(__file__), "..", "pytest.ini")
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hypothesis.settings.load_profile(
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"numpy-profile" if os.path.isfile(_pytest_ini) else "np.test() profile"
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)
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def pytest_configure(config):
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config.addinivalue_line("markers",
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"valgrind_error: Tests that are known to error under valgrind.")
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config.addinivalue_line("markers",
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"leaks_references: Tests that are known to leak references.")
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config.addinivalue_line("markers",
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"slow: Tests that are very slow.")
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config.addinivalue_line("markers",
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"slow_pypy: Tests that are very slow on pypy.")
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def pytest_addoption(parser):
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parser.addoption("--available-memory", action="store", default=None,
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help=("Set amount of memory available for running the "
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"test suite. This can result to tests requiring "
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"especially large amounts of memory to be skipped. "
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"Equivalent to setting environment variable "
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"NPY_AVAILABLE_MEM. Default: determined"
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"automatically."))
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def pytest_sessionstart(session):
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available_mem = session.config.getoption('available_memory')
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if available_mem is not None:
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os.environ['NPY_AVAILABLE_MEM'] = available_mem
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#FIXME when yield tests are gone.
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@pytest.hookimpl()
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def pytest_itemcollected(item):
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"""
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Check FPU precision mode was not changed during test collection.
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The clumsy way we do it here is mainly necessary because numpy
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still uses yield tests, which can execute code at test collection
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time.
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"""
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global _old_fpu_mode
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mode = get_fpu_mode()
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if _old_fpu_mode is None:
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_old_fpu_mode = mode
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elif mode != _old_fpu_mode:
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_collect_results[item] = (_old_fpu_mode, mode)
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_old_fpu_mode = mode
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@pytest.fixture(scope="function", autouse=True)
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def check_fpu_mode(request):
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"""
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Check FPU precision mode was not changed during the test.
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"""
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old_mode = get_fpu_mode()
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yield
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new_mode = get_fpu_mode()
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if old_mode != new_mode:
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raise AssertionError("FPU precision mode changed from {0:#x} to {1:#x}"
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" during the test".format(old_mode, new_mode))
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collect_result = _collect_results.get(request.node)
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if collect_result is not None:
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old_mode, new_mode = collect_result
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raise AssertionError("FPU precision mode changed from {0:#x} to {1:#x}"
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" when collecting the test".format(old_mode,
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new_mode))
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@pytest.fixture(autouse=True)
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def add_np(doctest_namespace):
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doctest_namespace['np'] = numpy
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@pytest.fixture(autouse=True)
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def env_setup(monkeypatch):
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monkeypatch.setenv('PYTHONHASHSEED', '0')
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