/usr/lib/python2.7/dist-packages/nibabel/deprecated.py is in python-nibabel 2.0.2-2.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 | """ Module to help with deprecating classes and modules
"""
import warnings
class ModuleProxy(object):
""" Proxy for module that may not yet have been imported
Parameters
----------
module_name : str
Full module name e.g. ``nibabel.minc``
Examples
--------
::
arr = np.arange(24).reshape((2, 3, 4))
minc = ModuleProxy('nibabel.minc')
minc_image = minc.Minc1Image(arr, np.eye(4))
So, the ``minc`` object is a proxy that will import the required module when
you do attribute access and return the attributes of the imported module.
"""
def __init__(self, module_name):
self._module_name = module_name
def __hasattr__(self, key):
mod = __import__(self._module_name, fromlist=[''])
return hasattr(mod, key)
def __getattr__(self, key):
mod = __import__(self._module_name, fromlist=[''])
return getattr(mod, key)
def __repr__(self):
return "<module proxy for {0}>".format(self._module_name)
class FutureWarningMixin(object):
""" Insert FutureWarning for object creation
Examples
--------
>>> class C(object): pass
>>> class D(FutureWarningMixin, C):
... warn_message = "Please, don't use this class"
Record the warning
>>> with warnings.catch_warnings(record=True) as warns:
... d = D()
... warns[0].message
FutureWarning("Please, don't use this class",)
"""
warn_message = 'This class will be removed in future versions'
def __init__(self, *args, **kwargs):
warnings.warn(self.warn_message,
FutureWarning,
stacklevel=2)
super(FutureWarningMixin, self).__init__(*args, **kwargs)
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