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- """Functional utilities for Python 2.4 compatibility."""
- # License for code in this file that was taken from Python 2.5.
- # PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2
- # --------------------------------------------
- #
- # 1. This LICENSE AGREEMENT is between the Python Software Foundation
- # ("PSF"), and the Individual or Organization ("Licensee") accessing and
- # otherwise using this software ("Python") in source or binary form and
- # its associated documentation.
- #
- # 2. Subject to the terms and conditions of this License Agreement, PSF
- # hereby grants Licensee a nonexclusive, royalty-free, world-wide
- # license to reproduce, analyze, test, perform and/or display publicly,
- # prepare derivative works, distribute, and otherwise use Python
- # alone or in any derivative version, provided, however, that PSF's
- # License Agreement and PSF's notice of copyright, i.e., "Copyright (c)
- # 2001, 2002, 2003, 2004, 2005, 2006, 2007 Python Software Foundation;
- # All Rights Reserved" are retained in Python alone or in any derivative
- # version prepared by Licensee.
- #
- # 3. In the event Licensee prepares a derivative work that is based on
- # or incorporates Python or any part thereof, and wants to make
- # the derivative work available to others as provided herein, then
- # Licensee hereby agrees to include in any such work a brief summary of
- # the changes made to Python.
- #
- # 4. PSF is making Python available to Licensee on an "AS IS"
- # basis. PSF MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
- # IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PSF MAKES NO AND
- # DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
- # FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON WILL NOT
- # INFRINGE ANY THIRD PARTY RIGHTS.
- #
- # 5. PSF SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON
- # FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS
- # A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON,
- # OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
- #
- # 6. This License Agreement will automatically terminate upon a material
- # breach of its terms and conditions.
- #
- # 7. Nothing in this License Agreement shall be deemed to create any
- # relationship of agency, partnership, or joint venture between PSF and
- # Licensee. This License Agreement does not grant permission to use PSF
- # trademarks or trade name in a trademark sense to endorse or promote
- # products or services of Licensee, or any third party.
- #
- # 8. By copying, installing or otherwise using Python, Licensee
- # agrees to be bound by the terms and conditions of this License
- # Agreement.
- ### Begin from Python 2.5 functools.py ########################################
- # Summary of changes made to the Python 2.5 code below:
- # * swapped ``partial`` for ``curry`` to maintain backwards-compatibility
- # in Django.
- # * Wrapped the ``setattr`` call in ``update_wrapper`` with a try-except
- # block to make it compatible with Python 2.3, which doesn't allow
- # assigning to ``__name__``.
- # Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007 Python Software
- # Foundation. All Rights Reserved.
- ###############################################################################
- # update_wrapper() and wraps() are tools to help write
- # wrapper functions that can handle naive introspection
- def _compat_curry(fun, *args, **kwargs):
- """New function with partial application of the given arguments
- and keywords."""
- def _curried(*addargs, **addkwargs):
- return fun(*(args+addargs), **dict(kwargs, **addkwargs))
- return _curried
- try:
- from functools import partial as curry
- except ImportError:
- curry = _compat_curry
- WRAPPER_ASSIGNMENTS = ('__module__', '__name__', '__doc__')
- WRAPPER_UPDATES = ('__dict__',)
- def _compat_update_wrapper(wrapper, wrapped, assigned=WRAPPER_ASSIGNMENTS,
- updated=WRAPPER_UPDATES):
- """Update a wrapper function to look like the wrapped function
- wrapper is the function to be updated
- wrapped is the original function
- assigned is a tuple naming the attributes assigned directly
- from the wrapped function to the wrapper function (defaults to
- functools.WRAPPER_ASSIGNMENTS)
- updated is a tuple naming the attributes off the wrapper that
- are updated with the corresponding attribute from the wrapped
- function (defaults to functools.WRAPPER_UPDATES)
- """
- for attr in assigned:
- try:
- setattr(wrapper, attr, getattr(wrapped, attr))
- except TypeError: # Python 2.3 doesn't allow assigning to __name__.
- pass
- for attr in updated:
- getattr(wrapper, attr).update(getattr(wrapped, attr))
- # Return the wrapper so this can be used as a decorator via curry()
- return wrapper
- try:
- from functools import update_wrapper
- except ImportError:
- update_wrapper = _compat_update_wrapper
- def _compat_wraps(wrapped, assigned=WRAPPER_ASSIGNMENTS,
- updated=WRAPPER_UPDATES):
- """Decorator factory to apply update_wrapper() to a wrapper function
- Returns a decorator that invokes update_wrapper() with the decorated
- function as the wrapper argument and the arguments to wraps() as the
- remaining arguments. Default arguments are as for update_wrapper().
- This is a convenience function to simplify applying curry() to
- update_wrapper().
- """
- return curry(update_wrapper, wrapped=wrapped,
- assigned=assigned, updated=updated)
- try:
- from functools import wraps
- except ImportError:
- wraps = _compat_wraps
- ### End from Python 2.5 functools.py ##########################################
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