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Clean up output of %who
Clean up output of %who

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_numpy_testing_utils.py
120 lines | 4.1 KiB | text/x-python | PythonLexer
/ IPython / external / _numpy_testing_utils.py
Fernando Perez
Make IPython work if a recent numpy is not available....
r2406 # IPython: modified copy of numpy.testing.utils, so numpy.testing.decorators
# works without numpy being installed.
"""
Utility function to facilitate testing.
"""
import os
import sys
import re
import operator
import types
import warnings
# The following two classes are copied from python 2.6 warnings module (context
# manager)
class WarningMessage(object):
"""
Holds the result of a single showwarning() call.
Notes
-----
`WarningMessage` is copied from the Python 2.6 warnings module,
so it can be used in NumPy with older Python versions.
"""
_WARNING_DETAILS = ("message", "category", "filename", "lineno", "file",
"line")
def __init__(self, message, category, filename, lineno, file=None,
line=None):
local_values = locals()
for attr in self._WARNING_DETAILS:
setattr(self, attr, local_values[attr])
if category:
self._category_name = category.__name__
else:
self._category_name = None
def __str__(self):
return ("{message : %r, category : %r, filename : %r, lineno : %s, "
"line : %r}" % (self.message, self._category_name,
self.filename, self.lineno, self.line))
class WarningManager:
"""
A context manager that copies and restores the warnings filter upon
exiting the context.
The 'record' argument specifies whether warnings should be captured by a
custom implementation of ``warnings.showwarning()`` and be appended to a
list returned by the context manager. Otherwise None is returned by the
context manager. The objects appended to the list are arguments whose
attributes mirror the arguments to ``showwarning()``.
The 'module' argument is to specify an alternative module to the module
named 'warnings' and imported under that name. This argument is only useful
when testing the warnings module itself.
Notes
-----
`WarningManager` is a copy of the ``catch_warnings`` context manager
from the Python 2.6 warnings module, with slight modifications.
It is copied so it can be used in NumPy with older Python versions.
"""
def __init__(self, record=False, module=None):
self._record = record
if module is None:
self._module = sys.modules['warnings']
else:
self._module = module
self._entered = False
def __enter__(self):
if self._entered:
raise RuntimeError("Cannot enter %r twice" % self)
self._entered = True
self._filters = self._module.filters
self._module.filters = self._filters[:]
self._showwarning = self._module.showwarning
if self._record:
log = []
def showwarning(*args, **kwargs):
log.append(WarningMessage(*args, **kwargs))
self._module.showwarning = showwarning
return log
else:
return None
def __exit__(self):
if not self._entered:
raise RuntimeError("Cannot exit %r without entering first" % self)
self._module.filters = self._filters
self._module.showwarning = self._showwarning
def assert_warns(warning_class, func, *args, **kw):
"""Fail unless a warning of class warning_class is thrown by callable when
invoked with arguments args and keyword arguments kwargs.
If a different type of warning is thrown, it will not be caught, and the
test case will be deemed to have suffered an error.
"""
# XXX: once we may depend on python >= 2.6, this can be replaced by the
# warnings module context manager.
ctx = WarningManager(record=True)
l = ctx.__enter__()
warnings.simplefilter('always')
try:
func(*args, **kw)
if not len(l) > 0:
raise AssertionError("No warning raised when calling %s"
% func.__name__)
if not l[0].category is warning_class:
raise AssertionError("First warning for %s is not a " \
"%s( is %s)" % (func.__name__, warning_class, l[0]))
finally:
ctx.__exit__()