mirror of
https://github.com/Mikaela/Limnoria.git
synced 2024-11-13 06:09:22 +01:00
100 lines
4.0 KiB
Python
Executable File
100 lines
4.0 KiB
Python
Executable File
"""
|
|
A more or less complete user-defined wrapper around tuple objects.
|
|
Adapted version of the standard library's UserList.
|
|
|
|
Taken from Stefan Schwarzer's ftputil library, available at
|
|
<http://www.ndh.net/home/sschwarzer/python/python_software.html>, and used under this license:
|
|
|
|
|
|
|
|
|
|
Copyright (C) 1999, Stefan Schwarzer
|
|
All rights reserved.
|
|
|
|
Redistribution and use in source and binary forms, with or without
|
|
modification, are permitted provided that the following conditions are
|
|
met:
|
|
|
|
- Redistributions of source code must retain the above copyright
|
|
notice, this list of conditions and the following disclaimer.
|
|
|
|
- Redistributions in binary form must reproduce the above copyright
|
|
notice, this list of conditions and the following disclaimer in the
|
|
documentation and/or other materials provided with the distribution.
|
|
|
|
- Neither the name of the above author nor the names of the
|
|
contributors to the software may be used to endorse or promote
|
|
products derived from this software without specific prior written
|
|
permission.
|
|
|
|
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
|
|
``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
|
|
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
|
|
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR
|
|
CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
|
|
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
|
|
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
|
|
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
|
|
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
|
|
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
|
|
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
|
|
|
"""
|
|
|
|
|
|
|
|
|
|
# $Id$
|
|
|
|
#XXX tuple instances (in Python 2.2) contain also:
|
|
# __class__, __delattr__, __getattribute__, __hash__, __new__,
|
|
# __reduce__, __setattr__, __str__
|
|
# What about these?
|
|
|
|
class UserTuple:
|
|
def __init__(self, inittuple=None):
|
|
self.data = ()
|
|
if inittuple is not None:
|
|
# XXX should this accept an arbitrary sequence?
|
|
if type(inittuple) == type(self.data):
|
|
self.data = inittuple
|
|
elif isinstance(inittuple, UserTuple):
|
|
# this results in
|
|
# self.data is inittuple.data
|
|
# but that's ok for tuples because they are
|
|
# immutable. (Builtin tuples behave the same.)
|
|
self.data = inittuple.data[:]
|
|
else:
|
|
# the same applies here; (t is tuple(t)) == 1
|
|
self.data = tuple(inittuple)
|
|
def __repr__(self): return repr(self.data)
|
|
def __lt__(self, other): return self.data < self.__cast(other)
|
|
def __le__(self, other): return self.data <= self.__cast(other)
|
|
def __eq__(self, other): return self.data == self.__cast(other)
|
|
def __ne__(self, other): return self.data != self.__cast(other)
|
|
def __gt__(self, other): return self.data > self.__cast(other)
|
|
def __ge__(self, other): return self.data >= self.__cast(other)
|
|
def __cast(self, other):
|
|
if isinstance(other, UserTuple): return other.data
|
|
else: return other
|
|
def __cmp__(self, other):
|
|
return cmp(self.data, self.__cast(other))
|
|
def __contains__(self, item): return item in self.data
|
|
def __len__(self): return len(self.data)
|
|
def __getitem__(self, i): return self.data[i]
|
|
def __getslice__(self, i, j):
|
|
i = max(i, 0); j = max(j, 0)
|
|
return self.__class__(self.data[i:j])
|
|
def __add__(self, other):
|
|
if isinstance(other, UserTuple):
|
|
return self.__class__(self.data + other.data)
|
|
elif isinstance(other, type(self.data)):
|
|
return self.__class__(self.data + other)
|
|
else:
|
|
return self.__class__(self.data + tuple(other))
|
|
# dir( () ) contains no __radd__ (at least in Python 2.2)
|
|
def __mul__(self, n):
|
|
return self.__class__(self.data*n)
|
|
__rmul__ = __mul__
|
|
|