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@@ -1,8 +1,120 @@
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+# License for code in this file that was taken from Python 2.5.
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+
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+# PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2
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+# --------------------------------------------
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+#
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+# 1. This LICENSE AGREEMENT is between the Python Software Foundation
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+# ("PSF"), and the Individual or Organization ("Licensee") accessing and
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+# otherwise using this software ("Python") in source or binary form and
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+# its associated documentation.
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+#
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+# 2. Subject to the terms and conditions of this License Agreement, PSF
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+# hereby grants Licensee a nonexclusive, royalty-free, world-wide
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+# license to reproduce, analyze, test, perform and/or display publicly,
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+# prepare derivative works, distribute, and otherwise use Python
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+# alone or in any derivative version, provided, however, that PSF's
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+# License Agreement and PSF's notice of copyright, i.e., "Copyright (c)
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+# 2001, 2002, 2003, 2004, 2005, 2006, 2007 Python Software Foundation;
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+# All Rights Reserved" are retained in Python alone or in any derivative
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+# version prepared by Licensee.
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+#
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+# 3. In the event Licensee prepares a derivative work that is based on
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+# or incorporates Python or any part thereof, and wants to make
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+# the derivative work available to others as provided herein, then
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+# Licensee hereby agrees to include in any such work a brief summary of
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+# the changes made to Python.
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+#
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+# 4. PSF is making Python available to Licensee on an "AS IS"
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+# basis. PSF MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
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+# IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PSF MAKES NO AND
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+# DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
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+# FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON WILL NOT
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+# INFRINGE ANY THIRD PARTY RIGHTS.
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+#
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+# 5. PSF SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON
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+# FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS
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+# A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON,
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+# OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
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+#
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+# 6. This License Agreement will automatically terminate upon a material
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+# breach of its terms and conditions.
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+#
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+# 7. Nothing in this License Agreement shall be deemed to create any
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+# relationship of agency, partnership, or joint venture between PSF and
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+# Licensee. This License Agreement does not grant permission to use PSF
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+# trademarks or trade name in a trademark sense to endorse or promote
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+# products or services of Licensee, or any third party.
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+#
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+# 8. By copying, installing or otherwise using Python, Licensee
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+# agrees to be bound by the terms and conditions of this License
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+# Agreement.
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+
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+
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def curry(_curried_func, *args, **kwargs):
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def _curried(*moreargs, **morekwargs):
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return _curried_func(*(args+moreargs), **dict(kwargs, **morekwargs))
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return _curried
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+### Begin from Python 2.5 functools.py ########################################
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+
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+# Summary of changes made to the Python 2.5 code below:
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+# * swapped ``partial`` for ``curry`` to maintain backwards-compatibility
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+# in Django.
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+# * Wrapped the ``setattr`` call in ``update_wrapper`` with a try-except
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+# block to make it compatible with Python 2.3, which doesn't allow
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+# assigning to ``__name__``.
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+
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+# Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007 Python Software Foundation.
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+# All Rights Reserved.
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+
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+###############################################################################
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+
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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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+
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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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+
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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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+ try:
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+ setattr(wrapper, attr, getattr(wrapped, attr))
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+ except TypeError: # Python 2.3 doesn't allow assigning to __name__.
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+ pass
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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 curry()
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+ return wrapper
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+
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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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+
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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 curry() to
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+ update_wrapper().
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+ """
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+ return curry(update_wrapper, wrapped=wrapped,
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+ assigned=assigned, updated=updated)
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+
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+### End from Python 2.5 functools.py ##########################################
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+
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def memoize(func, cache, num_args):
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"""
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Wrap a function so that results for any argument tuple are stored in
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@@ -18,7 +130,7 @@ def memoize(func, cache, num_args):
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result = func(*args)
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cache[mem_args] = result
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return result
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- return wrapper
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+ return wraps(func)(wrapper)
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class Promise(object):
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"""
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@@ -110,7 +222,7 @@ def lazy(func, *resultclasses):
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# Creates the proxy object, instead of the actual value.
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return __proxy__(args, kw)
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- return __wrapper__
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+ return wraps(func)(__wrapper__)
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def allow_lazy(func, *resultclasses):
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"""
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@@ -126,4 +238,4 @@ def allow_lazy(func, *resultclasses):
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else:
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return func(*args, **kwargs)
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return lazy(func, *resultclasses)(*args, **kwargs)
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- return wrapper
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+ return wraps(func)(wrapper)
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