108 lines
3.6 KiB
Python
108 lines
3.6 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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# See https://hypothesis.readthedocs.io/en/latest/settings.html
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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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# We try loading the profile defined by np.test(), which disables the
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# database and forces determinism, and fall back to the profile defined
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# above if we're running pytest directly. The odd dance is required
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# because np.test() executes this file *after* its own setup code.
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try:
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hypothesis.settings.load_profile("np.test() profile")
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except hypothesis.errors.InvalidArgument: # profile not found
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hypothesis.settings.load_profile("numpy-profile")
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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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