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 Superseded by reCTBN.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