Projekt_AI-Automatyczny_saper/venv/Lib/site-packages/skimage/_shared/_warnings.py
2021-06-01 17:38:31 +02:00

146 lines
5.0 KiB
Python

from contextlib import contextmanager
import sys
import warnings
import re
import functools
import os
__all__ = ['all_warnings', 'expected_warnings', 'warn']
# A version of `warnings.warn` with a default stacklevel of 2.
# functool is used so as not to increase the call stack accidentally
warn = functools.partial(warnings.warn, stacklevel=2)
@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"), stacklevel=2)
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() # doctest: +SKIP
We can now run ``foo()`` without a warning being raised:
>>> from numpy.testing import assert_warns
>>> foo() # doctest: +SKIP
To catch the warning, we call in the help of ``all_warnings``:
>>> with all_warnings():
... assert_warns(RuntimeWarning, foo)
"""
# _warnings.py is on the critical import path.
# Since this is a testing only function, we lazy import inspect.
import inspect
# 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()):
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):
r"""Context for use in testing to catch known warnings matching regexes
Parameters
----------
matching : None or a list of strings or compiled regexes
Regexes for the desired warning to catch
If matching is None, this behaves as a no-op.
Examples
--------
>>> import numpy as np
>>> image = np.random.randint(0, 2**16, size=(100, 100), dtype=np.uint16)
>>> # rank filters are slow when bit-depth exceeds 10 bits
>>> from skimage import filters
>>> with expected_warnings(['Bad rank filter performance']):
... median_filtered = filters.rank.median(image)
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 accommodate different build environments 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.
"""
if isinstance(matching, str):
raise ValueError('``matching`` should be a list of strings and not '
'a string itself.')
# Special case for disabling the context manager
if matching is None:
yield None
return
strict_warnings = os.environ.get('SKIMAGE_TEST_STRICT_WARNINGS', '1')
if strict_warnings.lower() == 'true':
strict_warnings = True
elif strict_warnings.lower() == 'false':
strict_warnings = False
else:
strict_warnings = bool(int(strict_warnings))
with all_warnings() as w:
# enter context
yield w
# exited user context, check the recorded warnings
# Allow users to provide None
while None in matching:
matching.remove(None)
remaining = [m for m in matching if r'\A\Z' not 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 strict_warnings and not found:
raise ValueError('Unexpected warning: %s' % str(warn.message))
if strict_warnings and (len(remaining) > 0):
msg = 'No warning raised matching:\n%s' % '\n'.join(remaining)
raise ValueError(msg)