"""functools.py - Tools for working with functions and callable objects
# Python module wrapper for _functools C module
# to allow utilities written in Python to be added
# to the functools module.
# Written by Nick Coghlan <ncoghlan at gmail.com>
# Copyright (C) 2006 Python Software Foundation.
# See C source code for _functools credits/copyright
from _functools import partial, reduce
# 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,
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 of the wrapper that
are updated with the corresponding attribute from the wrapped
function (defaults to functools.WRAPPER_UPDATES)
setattr(wrapper, attr, getattr(wrapped, attr))
getattr(wrapper, attr).update(getattr(wrapped, attr, {}))
# Return the wrapper so this can be used as a decorator via partial()
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 partial() to
return partial(update_wrapper, wrapped=wrapped,
assigned=assigned, updated=updated)
"""Class decorator that fills in missing ordering methods"""
'__lt__': [('__gt__', lambda self, other: not (self < other or self == other)),
('__le__', lambda self, other: self < other or self == other),
('__ne__', lambda self, other: not self == other),
('__ge__', lambda self, other: not self < other)],
'__le__': [('__ge__', lambda self, other: not self <= other or self == other),
('__lt__', lambda self, other: self <= other and not self == other),
('__ne__', lambda self, other: not self == other),
('__gt__', lambda self, other: not self <= other)],
'__gt__': [('__lt__', lambda self, other: not (self > other or self == other)),
('__ge__', lambda self, other: self > other or self == other),
('__ne__', lambda self, other: not self == other),
('__le__', lambda self, other: not self > other)],
'__ge__': [('__le__', lambda self, other: (not self >= other) or self == other),
('__gt__', lambda self, other: self >= other and not self == other),
('__ne__', lambda self, other: not self == other),
('__lt__', lambda self, other: not self >= other)]
defined_methods = set(dir(cls))
roots = defined_methods & set(convert)
raise ValueError('must define at least one ordering operation: < > <= >=')
root = max(roots) # prefer __lt__ to __le__ to __gt__ to __ge__
for opname, opfunc in convert[root]:
if opname not in defined_methods:
opfunc.__doc__ = getattr(int, opname).__doc__
setattr(cls, opname, opfunc)
"""Convert a cmp= function into a key= function"""
def __init__(self, obj, *args):
return mycmp(self.obj, other.obj) < 0
return mycmp(self.obj, other.obj) > 0
return mycmp(self.obj, other.obj) == 0
return mycmp(self.obj, other.obj) <= 0
return mycmp(self.obj, other.obj) >= 0
return mycmp(self.obj, other.obj) != 0
raise TypeError('hash not implemented')