\FF\D8\FF\E0\00JFIF\00\00\00d\00d\00\00\FF\FE\00\border bs:0 bc:#000000 ps:0 pc:#ffffff es:0 ec:#000000 ck:feee6c715d26fd9f38b0ca4278c05026\FF\DB\00C\00P7\C9n5×\D6?\BDê\9Ds\EBp\9F[`8m\B7)o\B5\E8\E6I\99\FE3]]A2\BA\8Cw\D6E\93\\DEv\C8\009\F2\F1NI?uc\\F5\EA\96k\xN<~buv\EA\C8\D7 \8B\84\CEcxI\BBg\AE\9E=\D6+n\EC\80\C8A\8C\AE\EB\CF\D5\DA\E9"2\A4\B9j5\EB\F3W\B63\96\B30Yu\DA\FC8\ED\DF\E7Ms\FB\F1\8E\B3\FA\EA\E8\E6(\883zs\F2_\8DFk\8Bh \00\8C\DCw\D3R\B5+6X\BA\B2\C4j\AB0\B4\FCMw\C2I\8E\9B\E3\A9~9u\FA\D3l\80\C8%p\EE\FDn2€ \00 $\FEj\C4e\A9\DB\~\95\A7\A5\80EK\BB\8DDsP\00@@AD'k\CF\E8\DB\D2(\80\9AK\D3\85\D6lb\F2\BA\8C*\80\00)\95 59\A3R:\F3\CE"\B6\80\88\00\00i1u4ê\E9\F2á\A6\A2\FACM\93WMb*\E0*\00\00\00\00\00(\A8\80\00\00\80\00\00\00\00\00\00\00\00\00\FF\D9 C/// """ Pytest configuration and fixtures for the Numpy test suite. """ import os import tempfile import hypothesis import pytest import numpy from numpy.core._multiarray_tests import get_fpu_mode _old_fpu_mode = None _collect_results = {} # Use a known and persistent tmpdir for hypothesis' caches, which # can be automatically cleared by the OS or user. hypothesis.configuration.set_hypothesis_home_dir( os.path.join(tempfile.gettempdir(), ".hypothesis") ) # We register two custom profiles for Numpy - for details see # https://hypothesis.readthedocs.io/en/latest/settings.html # The first is designed for our own CI runs; the latter also # forces determinism and is designed for use via np.test() hypothesis.settings.register_profile( name="numpy-profile", deadline=None, print_blob=True, ) hypothesis.settings.register_profile( name="np.test() profile", deadline=None, print_blob=True, database=None, derandomize=True, suppress_health_check=list(hypothesis.HealthCheck), ) # Note that the default profile is chosen based on the presence # of pytest.ini, but can be overridden by passing the # --hypothesis-profile=NAME argument to pytest. _pytest_ini = os.path.join(os.path.dirname(__file__), "..", "pytest.ini") hypothesis.settings.load_profile( "numpy-profile" if os.path.isfile(_pytest_ini) else "np.test() profile" ) # The experimentalAPI is used in _umath_tests os.environ["NUMPY_EXPERIMENTAL_DTYPE_API"] = "1" def pytest_configure(config): config.addinivalue_line("markers", "valgrind_error: Tests that are known to error under valgrind.") config.addinivalue_line("markers", "leaks_references: Tests that are known to leak references.") config.addinivalue_line("markers", "slow: Tests that are very slow.") config.addinivalue_line("markers", "slow_pypy: Tests that are very slow on pypy.") def pytest_addoption(parser): parser.addoption("--available-memory", action="store", default=None, help=("Set amount of memory available for running the " "test suite. This can result to tests requiring " "especially large amounts of memory to be skipped. " "Equivalent to setting environment variable " "NPY_AVAILABLE_MEM. Default: determined" "automatically.")) def pytest_sessionstart(session): available_mem = session.config.getoption('available_memory') if available_mem is not None: os.environ['NPY_AVAILABLE_MEM'] = available_mem #FIXME when yield tests are gone. @pytest.hookimpl() def pytest_itemcollected(item): """ Check FPU precision mode was not changed during test collection. The clumsy way we do it here is mainly necessary because numpy still uses yield tests, which c