EVOLUTION-MANAGER

Edit File: _pytesttester.py

""" Pytest test running. This module implements the ``test()`` function for NumPy modules. The usual boiler plate for doing that is to put the following in the module ``__init__.py`` file:: from numpy._pytesttester import PytestTester test = PytestTester(__name__).test del PytestTester Warnings filtering and other runtime settings should be dealt with in the ``pytest.ini`` file in the numpy repo root. The behavior of the test depends on whether or not that file is found as follows: * ``pytest.ini`` is present (develop mode) All warnings except those explicitly filtered out are raised as error. * ``pytest.ini`` is absent (release mode) DeprecationWarnings and PendingDeprecationWarnings are ignored, other warnings are passed through. In practice, tests run from the numpy repo are run in develop mode. That includes the standard ``python runtests.py`` invocation. This module is imported by every numpy subpackage, so lies at the top level to simplify circular import issues. For the same reason, it contains no numpy imports at module scope, instead importing numpy within function calls. """ import sys import os __all__ = ['PytestTester'] def _show_numpy_info(): import numpy as np print("NumPy version %s" % np.__version__) relaxed_strides = np.ones((10, 1), order="C").flags.f_contiguous print("NumPy relaxed strides checking option:", relaxed_strides) class PytestTester: """ Pytest test runner. A test function is typically added to a package's __init__.py like so:: from numpy._pytesttester import PytestTester test = PytestTester(__name__).test del PytestTester Calling this test function finds and runs all tests associated with the module and all its sub-modules. Attributes ---------- module_name : str Full path to the package to test. Parameters ---------- module_name : module name The name of the module to test. Notes ----- Unlike the previous ``nose``-based implementation, this class is not publicly exposed as it performs some ``numpy``-specific warning suppression. """ def __init__(self, module_name): self.module_name = module_name def __call__(self, label='fast', verbose=1, extra_argv=None, doctests=False, coverage=False, durations=-1, tests=None): """ Run tests for module using pytest. Parameters ---------- label : {'fast', 'full'}, optional Identifies the tests to run. When set to 'fast', tests decorated with `pytest.mark.slow` are skipped, when 'full', the slow marker is ignored. verbose : int, optional Verbosity value for test outputs, in the range 1-3. Default is 1. extra_argv : list, optional List with any extra arguments to pass to pytests. doctests : bool, optional .. note:: Not supported coverage : bool, optional If True, report coverage of NumPy code. Default is False. Requires installation of (pip) pytest-cov. durations : int, optional If < 0, do nothing, If 0, report time of all tests, if > 0, report the time of the slowest `timer` tests. Default is -1. tests : test or list of tests Tests to be executed with pytest '--pyargs' Returns ------- result : bool Return True on success, false otherwise. Notes ----- Each NumPy module exposes `test` in its namespace to run all tests for it. For example, to run all tests for numpy.lib: >>> np.lib.test() #doctest: +SKIP Examples -------- >>> result = np.lib.test() #doctest: +SKIP ... 1023 passed, 2 skipped, 6 deselected, 1 xfailed in 10.39 seconds >>> result True """ import pytest import warnings # Imported after pytest to enable assertion rewriting import hypothesis module = sys.modules[self.module_name] module_path = os.path.abspath(module.__path__[0]) # setup the pytest arguments pytest_args = ["-l"] # offset verbosity. The "-q" cancels a "-v". pytest_args += ["-q"] # Filter out distutils cpu warnings (could be localized to # distutils tests). ASV has problems with top level import, # so fetch module for suppression here. with warnings.catch_warnings(): warnings.simplefilter("always") from numpy.distutils import cpuinfo # Filter out annoying import messages. Want these in both develop and # release mode. pytest_args += [ "-W ignore:Not importing directory", "-W ignore:numpy.dtype size changed", "-W ignore:numpy.ufunc size changed", "-W ignore::UserWarning:cpuinfo", ] # When testing matrices, ignore their PendingDeprecationWarnings pytest_args += [ "-W ignore:the matrix subclass is not", "-W ignore:Importing from numpy.matlib is", ] if doctests: raise ValueError("Doctests not supported") if extra_argv: pytest_args += list(extra_argv) if verbose > 1: pytest_args += ["-" + "v"*(verbose - 1)] if coverage: pytest_args += ["--cov=" + module_path] if label == "fast": # not importing at the top level to avoid circular import of module from numpy.testing import IS_PYPY if IS_PYPY: pytest_args += ["-m", "not slow and not slow_pypy"] else: pytest_args += ["-m", "not slow"] elif label != "full": pytest_args += ["-m", label] if durations >= 0: pytest_args += ["--durations=%s" % durations] if tests is None: tests = [self.module_name] pytest_args += ["--pyargs"] + list(tests) # This configuration is picked up by numpy.conftest, and ensures that # running `np.test()` is deterministic and does not write any files. # See https://hypothesis.readthedocs.io/en/latest/settings.html hypothesis.settings.register_profile( name="np.test() profile", deadline=None, print_blob=True, database=None, derandomize=True, suppress_health_check=hypothesis.HealthCheck.all(), ) # run tests. _show_numpy_info() try: code = pytest.main(pytest_args) except SystemExit as exc: code = exc.code return code == 0