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+"""
+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"
+)
+
+
+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 can execute code at test collection
+ time.
+ """
+ global _old_fpu_mode
+
+ mode = get_fpu_mode()
+
+ if _old_fpu_mode is None:
+ _old_fpu_mode = mode
+ elif mode != _old_fpu_mode:
+ _collect_results[item] = (_old_fpu_mode, mode)
+ _old_fpu_mode = mode
+
+
+@pytest.fixture(scope="function", autouse=True)
+def check_fpu_mode(request):
+ """
+ Check FPU precision mode was not changed during the test.
+ """
+ old_mode = get_fpu_mode()
+ yield
+ new_mode = get_fpu_mode()
+
+ if old_mode != new_mode:
+ raise AssertionError("FPU precision mode changed from {0:#x} to {1:#x}"
+ " during the test".format(old_mode, new_mode))
+
+ collect_result = _collect_results.get(request.node)
+ if collect_result is not None:
+ old_mode, new_mode = collect_result
+ raise AssertionError("FPU precision mode changed from {0:#x} to {1:#x}"
+ " when collecting the test".format(old_mode,
+ new_mode))
+
+
+@pytest.fixture(autouse=True)
+def add_np(doctest_namespace):
+ doctest_namespace['np'] = numpy
+
+@pytest.fixture(autouse=True)
+def env_setup(monkeypatch):
+ monkeypatch.setenv('PYTHONHASHSEED', '0')
+
+
+@pytest.fixture(params=[True, False])
+def weak_promotion(request):
+ """
+ Fixture to ensure "legacy" promotion state or change it to use the new
+ weak promotion (plus warning). `old_promotion` should be used as a
+ parameter in the function.
+ """
+ state = numpy._get_promotion_state()
+ if request.param:
+ numpy._set_promotion_state("weak_and_warn")
+ else:
+ numpy._set_promotion_state("legacy")
+
+ yield request.param
+ numpy._set_promotion_state(state)