Add functools.update_wrapper() and functools.wraps() as described in PEP 356
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@ -5,6 +5,7 @@
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\moduleauthor{Peter Harris}{scav@blueyonder.co.uk}
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\moduleauthor{Raymond Hettinger}{python@rcn.com}
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\moduleauthor{Nick Coghlan}{ncoghlan@gmail.com}
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\sectionauthor{Peter Harris}{scav@blueyonder.co.uk}
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\modulesynopsis{Higher-order functions and operations on callable objects.}
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@ -50,6 +51,51 @@ two:
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\end{verbatim}
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\end{funcdesc}
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\begin{funcdesc}{update_wrapper}
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{wrapper, wrapped\optional{, assigned}\optional{, updated}}
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Update a wrapper function to look like the wrapped function. The optional
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arguments are tuples to specify which attributes of the original
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function are assigned directly to the matching attributes on the wrapper
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function and which attributes of the wrapper function are updated with
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the corresponding attributes from the original function. The default
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values for these arguments are the module level constants
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\var{WRAPPER_ASSIGNMENTS} (which assigns to the wrapper function's name,
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module and documentation string) and \var{WRAPPER_UPDATES} (which
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updates the wrapper function's instance dictionary).
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The main intended use for this function is in decorator functions
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which wrap the decorated function and return the wrapper. If the
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wrapper function is not updated, the metadata of the returned function
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will reflect the wrapper definition rather than the original function
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definition, which is typically less than helpful.
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\end{funcdesc}
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\begin{funcdesc}{wraps}
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{wrapped\optional{, assigned}\optional{, updated}}
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This is a convenience function for invoking
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\code{partial(update_wrapper, wrapped=wrapped, assigned=assigned, updated=updated)}
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as a function decorator when defining a wrapper function. For example:
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\begin{verbatim}
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>>> def my_decorator(f):
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... @wraps(f)
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... def wrapper(*args, **kwds):
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... print 'Calling decorated function'
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... return f(*args, **kwds)
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... return wrapper
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...
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>>> @my_decorator
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... def example():
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... print 'Called example function'
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...
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>>> example()
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Calling decorated function
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Called example function
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>>> example.__name__
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'example'
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\end{verbatim}
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Without the use of this decorator factory, the name of the example
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function would have been \code{'wrapper'}.
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\end{funcdesc}
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\subsection{\class{partial} Objects \label{partial-objects}}
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@ -1,26 +1,51 @@
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"""functools.py - Tools for working with functions
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"""functools.py - Tools for working with functions and callable objects
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"""
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# Python module wrapper for _functools C module
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# to allow utilities written in Python to be added
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# to the functools module.
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# Written by Nick Coghlan <ncoghlan at gmail.com>
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# Copyright (c) 2006 Python Software Foundation.
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# Copyright (C) 2006 Python Software Foundation.
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# See C source code for _functools credits/copyright
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from _functools import partial
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__all__ = [
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"partial",
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]
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# Still to come here (need to write tests and docs):
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# update_wrapper - utility function to transfer basic function
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# metadata to wrapper functions
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# WRAPPER_ASSIGNMENTS & WRAPPER_UPDATES - defaults args to above
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# (update_wrapper has been approved by BDFL)
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# wraps - decorator factory equivalent to:
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# def wraps(f):
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# return partial(update_wrapper, wrapped=f)
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#
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# The wraps function makes it easy to avoid the bug that afflicts the
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# decorator example in the python-dev email proposing the
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# update_wrapper function:
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# http://mail.python.org/pipermail/python-dev/2006-May/064775.html
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# update_wrapper() and wraps() are tools to help write
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# wrapper functions that can handle naive introspection
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WRAPPER_ASSIGNMENTS = ('__module__', '__name__', '__doc__')
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WRAPPER_UPDATES = ('__dict__',)
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def update_wrapper(wrapper,
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wrapped,
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assigned = WRAPPER_ASSIGNMENTS,
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updated = WRAPPER_UPDATES):
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"""Update a wrapper function to look like the wrapped function
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wrapper is the function to be updated
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wrapped is the original function
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assigned is a tuple naming the attributes assigned directly
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from the wrapped function to the wrapper function (defaults to
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functools.WRAPPER_ASSIGNMENTS)
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updated is a tuple naming the attributes off the wrapper that
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are updated with the corresponding attribute from the wrapped
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function (defaults to functools.WRAPPER_UPDATES)
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"""
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for attr in assigned:
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setattr(wrapper, attr, getattr(wrapped, attr))
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for attr in updated:
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getattr(wrapper, attr).update(getattr(wrapped, attr))
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# Return the wrapper so this can be used as a decorator via partial()
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return wrapper
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def wraps(wrapped,
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assigned = WRAPPER_ASSIGNMENTS,
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updated = WRAPPER_UPDATES):
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"""Decorator factory to apply update_wrapper() to a wrapper function
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Returns a decorator that invokes update_wrapper() with the decorated
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function as the wrapper argument and the arguments to wraps() as the
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remaining arguments. Default arguments are as for update_wrapper().
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This is a convenience function to simplify applying partial() to
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update_wrapper().
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"""
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return partial(update_wrapper, wrapped=wrapped,
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assigned=assigned, updated=updated)
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@ -152,6 +152,113 @@ class TestPythonPartial(TestPartial):
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thetype = PythonPartial
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class TestUpdateWrapper(unittest.TestCase):
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def check_wrapper(self, wrapper, wrapped,
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assigned=functools.WRAPPER_ASSIGNMENTS,
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updated=functools.WRAPPER_UPDATES):
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# Check attributes were assigned
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for name in assigned:
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self.failUnless(getattr(wrapper, name) is getattr(wrapped, name))
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# Check attributes were updated
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for name in updated:
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wrapper_attr = getattr(wrapper, name)
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wrapped_attr = getattr(wrapped, name)
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for key in wrapped_attr:
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self.failUnless(wrapped_attr[key] is wrapper_attr[key])
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def test_default_update(self):
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def f():
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"""This is a test"""
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pass
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f.attr = 'This is also a test'
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def wrapper():
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pass
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functools.update_wrapper(wrapper, f)
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self.check_wrapper(wrapper, f)
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self.assertEqual(wrapper.__name__, 'f')
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self.assertEqual(wrapper.__doc__, 'This is a test')
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self.assertEqual(wrapper.attr, 'This is also a test')
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def test_no_update(self):
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def f():
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"""This is a test"""
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pass
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f.attr = 'This is also a test'
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def wrapper():
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pass
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functools.update_wrapper(wrapper, f, (), ())
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self.check_wrapper(wrapper, f, (), ())
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self.assertEqual(wrapper.__name__, 'wrapper')
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self.assertEqual(wrapper.__doc__, None)
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self.failIf(hasattr(wrapper, 'attr'))
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def test_selective_update(self):
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def f():
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pass
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f.attr = 'This is a different test'
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f.dict_attr = dict(a=1, b=2, c=3)
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def wrapper():
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pass
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wrapper.dict_attr = {}
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assign = ('attr',)
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update = ('dict_attr',)
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functools.update_wrapper(wrapper, f, assign, update)
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self.check_wrapper(wrapper, f, assign, update)
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self.assertEqual(wrapper.__name__, 'wrapper')
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self.assertEqual(wrapper.__doc__, None)
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self.assertEqual(wrapper.attr, 'This is a different test')
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self.assertEqual(wrapper.dict_attr, f.dict_attr)
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class TestWraps(TestUpdateWrapper):
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def test_default_update(self):
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def f():
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"""This is a test"""
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pass
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f.attr = 'This is also a test'
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@functools.wraps(f)
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def wrapper():
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pass
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self.check_wrapper(wrapper, f)
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self.assertEqual(wrapper.__name__, 'f')
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self.assertEqual(wrapper.__doc__, 'This is a test')
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self.assertEqual(wrapper.attr, 'This is also a test')
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def test_no_update(self):
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def f():
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"""This is a test"""
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pass
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f.attr = 'This is also a test'
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@functools.wraps(f, (), ())
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def wrapper():
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pass
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self.check_wrapper(wrapper, f, (), ())
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self.assertEqual(wrapper.__name__, 'wrapper')
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self.assertEqual(wrapper.__doc__, None)
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self.failIf(hasattr(wrapper, 'attr'))
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def test_selective_update(self):
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def f():
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pass
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f.attr = 'This is a different test'
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f.dict_attr = dict(a=1, b=2, c=3)
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def add_dict_attr(f):
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f.dict_attr = {}
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return f
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assign = ('attr',)
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update = ('dict_attr',)
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@functools.wraps(f, assign, update)
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@add_dict_attr
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def wrapper():
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pass
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self.check_wrapper(wrapper, f, assign, update)
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self.assertEqual(wrapper.__name__, 'wrapper')
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self.assertEqual(wrapper.__doc__, None)
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self.assertEqual(wrapper.attr, 'This is a different test')
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self.assertEqual(wrapper.dict_attr, f.dict_attr)
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def test_main(verbose=None):
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TestPartial,
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TestPartialSubclass,
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TestPythonPartial,
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TestUpdateWrapper,
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TestWraps
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)
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test_support.run_unittest(*test_classes)
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@ -127,6 +127,10 @@ Extension Modules
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Library
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-------
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- The functions update_wrapper() and wraps() have been added to the functools
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module. These make it easier to copy relevant metadata from the original
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function when writing wrapper functions.
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- The optional ``isprivate`` argument to ``doctest.testmod()``, and the
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``doctest.is_private()`` function, both deprecated in 2.4, were removed.
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