# From scikit-image: https://github.com/scikit-image/scikit-image/blob/c2f8c4ab123ebe5f7b827bc495625a32bb225c10/skimage/_shared/_warnings.py # Licensed under modified BSD license __all__ = ['all_warnings', 'expected_warnings'] from contextlib import contextmanager import sys import warnings import inspect import re @contextmanager def all_warnings(): """ Context for use in testing to ensure that all warnings are raised. Examples -------- >>> import warnings >>> def foo(): ... warnings.warn(RuntimeWarning("bar")) We raise the warning once, while the warning filter is set to "once". Hereafter, the warning is invisible, even with custom filters: >>> with warnings.catch_warnings(): ... warnings.simplefilter('once') ... foo() We can now run ``foo()`` without a warning being raised: >>> from numpy.testing import assert_warns >>> foo() To catch the warning, we call in the help of ``all_warnings``: >>> with all_warnings(): ... assert_warns(RuntimeWarning, foo) """ # Whenever a warning is triggered, Python adds a __warningregistry__ # member to the *calling* module. The exercize here is to find # and eradicate all those breadcrumbs that were left lying around. # # We proceed by first searching all parent calling frames and explicitly # clearing their warning registries (necessary for the doctests above to # pass). Then, we search for all submodules of skimage and clear theirs # as well (necessary for the skimage test suite to pass). frame = inspect.currentframe() if frame: for f in inspect.getouterframes(frame): f[0].f_locals['__warningregistry__'] = {} del frame for mod_name, mod in list(sys.modules.items()): if 'six.moves' in mod_name: continue try: mod.__warningregistry__.clear() except AttributeError: pass with warnings.catch_warnings(record=True) as w: warnings.simplefilter("always") yield w @contextmanager def expected_warnings(matching): """Context for use in testing to catch known warnings matching regexes Parameters ---------- matching : list of strings or compiled regexes Regexes for the desired warning to catch Examples -------- >>> from skimage import data, img_as_ubyte, img_as_float >>> with expected_warnings(['precision loss']): ... d = img_as_ubyte(img_as_float(data.coins())) Notes ----- Uses `all_warnings` to ensure all warnings are raised. Upon exiting, it checks the recorded warnings for the desired matching pattern(s). Raises a ValueError if any match was not found or an unexpected warning was raised. Allows for three types of behaviors: "and", "or", and "optional" matches. This is done to accomodate different build enviroments or loop conditions that may produce different warnings. The behaviors can be combined. If you pass multiple patterns, you get an orderless "and", where all of the warnings must be raised. If you use the "|" operator in a pattern, you can catch one of several warnings. Finally, you can use "|\A\Z" in a pattern to signify it as optional. """ with all_warnings() as w: # enter context yield w # exited user context, check the recorded warnings remaining = [m for m in matching if not '\A\Z' in m.split('|')] for warn in w: found = False for match in matching: if re.search(match, str(warn.message)) is not None: found = True if match in remaining: remaining.remove(match) if not found: raise ValueError('Unexpected warning: %s' % str(warn.message)) if len(remaining) > 0: msg = 'No warning raised matching:\n%s' % '\n'.join(remaining) raise ValueError(msg)