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# Copyright (C) 2009-2014 Wander Lairson Costa # # The following terms apply to all files associated # with the software unless explicitly disclaimed in individual files. # # The authors hereby grant permission to use, copy, modify, distribute, # and license this software and its documentation for any purpose, provided # that existing copyright notices are retained in all copies and that this # notice is included verbatim in any distributions. No written agreement, # license, or royalty fee is required for any of the authorized uses. # Modifications to this software may be copyrighted by their authors # and need not follow the licensing terms described here, provided that # the new terms are clearly indicated on the first page of each file where # they apply. # # IN NO EVENT SHALL THE AUTHORS OR DISTRIBUTORS BE LIABLE TO ANY PARTY # FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES # ARISING OUT OF THE USE OF THIS SOFTWARE, ITS DOCUMENTATION, OR ANY # DERIVATIVES THEREOF, EVEN IF THE AUTHORS HAVE BEEN ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. # # THE AUTHORS AND DISTRIBUTORS SPECIFICALLY DISCLAIM ANY WARRANTIES, # INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. THIS SOFTWARE # IS PROVIDED ON AN "AS IS" BASIS, AND THE AUTHORS AND DISTRIBUTORS HAVE # NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR # MODIFICATIONS. # All the hacks necessary to assure compatibility across all # supported versions come here. # Please, note that there is one version check for each # hack we need to do, this makes maintenance easier... ^^ import sys import array __all__ = ['_reduce', '_set', '_next', '_groupby', '_sorted', '_update_wrapper'] # we support Python >= 2.3 assert sys.hexversion >= 0x020300f0 # On Python 3, reduce became a functools module function try: import functools _reduce = functools.reduce except (ImportError, AttributeError): _reduce = reduce # we only have the builtin set type since 2.5 version try: _set = set except NameError: import sets _set = sets.Set # On Python >= 2.6, we have the builtin next() function # On Python 2.5 and before, we have to call the iterator method next() def _next(iter): try: return next(iter) except NameError: return iter.next() # groupby is available only since 2.4 version try: import itertools _groupby = itertools.groupby except (ImportError, AttributeError): # stolen from Python docs class _groupby(object): # [k for k, g in groupby('AAAABBBCCDAABBB')] --> A B C D A B # [list(g) for k, g in groupby('AAAABBBCCD')] --> AAAA BBB CC D def __init__(self, iterable, key=None): if key is None: key = lambda x: x self.keyfunc = key self.it = iter(iterable) self.tgtkey = self.currkey = self.currvalue = object() def __iter__(self): return self def next(self): while self.currkey == self.tgtkey: self.currvalue = _next(self.it) # Exit on StopIteration self.currkey = self.keyfunc(self.currvalue) self.tgtkey = self.currkey return (self.currkey, self._grouper(self.tgtkey)) def _grouper(self, tgtkey): while self.currkey == tgtkey: yield self.currvalue self.currvalue = _next(self.it) # Exit on StopIteration self.currkey = self.keyfunc(self.currvalue) # builtin sorted function is only availale since 2.4 version try: _sorted = sorted except NameError: def _sorted(l, key=None, reverse=False): # sort function on Python 2.3 does not # support 'key' parameter class KeyToCmp(object): def __init__(self, K): self.key = K def __call__(self, x, y): kx = self.key(x) ky = self.key(y) if kx < ky: return reverse and 1 or -1 elif kx > ky: return reverse and -1 or 1 else: return 0 tmp = list(l) tmp.sort(KeyToCmp(key)) return tmp try: import functools _update_wrapper = functools.update_wrapper except (ImportError, AttributeError): def _update_wrapper(wrapper, wrapped): wrapper.__name__ = wrapped.__name__ wrapper.__module__ = wrapped.__module__ wrapper.__doc__ = wrapped.__doc__ wrapper.__dict__ = wrapped.__dict__ def as_array(data=None): if data is None: return array.array('B') if isinstance(data, array.array): return data try: return array.array('B', data) except TypeError: # When you pass a unicode string or a character sequence, # you get a TypeError if the first parameter does not match a = array.array('B') a.fromstring(data) return a