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-rw-r--r--django/utils/datastructures.py8
-rw-r--r--django/utils/decorators.py6
-rw-r--r--django/utils/functional.py118
3 files changed, 126 insertions, 6 deletions
diff --git a/django/utils/datastructures.py b/django/utils/datastructures.py
index 82d914000f..4c278c0d8e 100644
--- a/django/utils/datastructures.py
+++ b/django/utils/datastructures.py
@@ -3,7 +3,7 @@ class MergeDict(object):
A simple class for creating new "virtual" dictionaries that actually look
up values in more than one dictionary, passed in the constructor.
- If a key appears in more than one of the passed in dictionaries, only the
+ If a key appears in more than one of the given dictionaries, only the
first occurrence will be used.
"""
def __init__(self, *dicts):
@@ -145,7 +145,7 @@ class SortedDict(dict):
"""Returns a copy of this object."""
# This way of initializing the copy means it works for subclasses, too.
obj = self.__class__(self)
- obj.keyOrder = self.keyOrder
+ obj.keyOrder = self.keyOrder[:]
return obj
def __repr__(self):
@@ -155,6 +155,10 @@ class SortedDict(dict):
"""
return '{%s}' % ', '.join(['%r: %r' % (k, v) for k, v in self.items()])
+ def clear(self):
+ super(SortedDict, self).clear()
+ self.keyOrder = []
+
class MultiValueDictKeyError(KeyError):
pass
diff --git a/django/utils/decorators.py b/django/utils/decorators.py
index 57ce29fca4..27a080e740 100644
--- a/django/utils/decorators.py
+++ b/django/utils/decorators.py
@@ -1,6 +1,10 @@
"Functions that help with dynamically creating decorators for views."
import types
+try:
+ from functools import wraps
+except ImportError:
+ from django.utils.functional import wraps # Python 2.3, 2.4 fallback.
def decorator_from_middleware(middleware_class):
"""
@@ -53,5 +57,5 @@ def decorator_from_middleware(middleware_class):
if result is not None:
return result
return response
- return _wrapped_view
+ return wraps(view_func)(_wrapped_view)
return _decorator_from_middleware
diff --git a/django/utils/functional.py b/django/utils/functional.py
index e0c862b0b7..3de693e18c 100644
--- a/django/utils/functional.py
+++ b/django/utils/functional.py
@@ -1,8 +1,120 @@
+# 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.
+
+
def curry(_curried_func, *args, **kwargs):
def _curried(*moreargs, **morekwargs):
return _curried_func(*(args+moreargs), **dict(kwargs, **morekwargs))
return _curried
+### 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
+
+WRAPPER_ASSIGNMENTS = ('__module__', '__name__', '__doc__')
+WRAPPER_UPDATES = ('__dict__',)
+def 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
+
+def 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)
+
+### End from Python 2.5 functools.py ##########################################
+
def memoize(func, cache, num_args):
"""
Wrap a function so that results for any argument tuple are stored in
@@ -18,7 +130,7 @@ def memoize(func, cache, num_args):
result = func(*args)
cache[mem_args] = result
return result
- return wrapper
+ return wraps(func)(wrapper)
class Promise(object):
"""
@@ -110,7 +222,7 @@ def lazy(func, *resultclasses):
# Creates the proxy object, instead of the actual value.
return __proxy__(args, kw)
- return __wrapper__
+ return wraps(func)(__wrapper__)
def allow_lazy(func, *resultclasses):
"""
@@ -126,4 +238,4 @@ def allow_lazy(func, *resultclasses):
else:
return func(*args, **kwargs)
return lazy(func, *resultclasses)(*args, **kwargs)
- return wrapper
+ return wraps(func)(wrapper)