Mercurial > p > roundup > code
view roundup/cgi/ZTUtils/Batch.py @ 7695:2be7a8f66ea7
fix: windows install using pip mislocates share directory
The setup code that tries to make the share install path absolute
prependeds something like:
c:\program files\python_venv
to the paths. The equivalent on linux is recognized as an absolute
path. On windows this is treated oddly. This resulted in
the share files being placed in:
c:\program files\python_venv\Lib\site-packages\program files\python_venv\share
Roundup was unable to find the files there. On windows (where the
platform starts with 'win') don't make the path absolute. This puts
share in:
c:\program files\python_venv\Lib\share
and Roundup finds them.
The translations and templates are found by the roundup-server.
The docs are also installed under the share directory. The man pages
are not installed as windows doesn't have groff to format the source
documents.
This is the second fix from issues getting Roundup running on windows
discussed on mailing list by Simon Eigeldinger.
Thread starts with:
https://sourceforge.net/p/roundup/mailman/message/41557096/
subject: Installing Roundup on Windows 2023-10-05.
| author | John Rouillard <rouilj@ieee.org> |
|---|---|
| date | Sun, 05 Nov 2023 23:01:29 -0500 |
| parents | 35ea9b1efc14 |
| children |
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############################################################################## # # Copyright (c) 2001 Zope Corporation and Contributors. All Rights Reserved. # # This software is subject to the provisions of the Zope Public License, # Version 2.0 (ZPL). A copy of the ZPL should accompany this distribution. # THIS SOFTWARE IS PROVIDED "AS IS" AND ANY AND ALL EXPRESS OR IMPLIED # WARRANTIES ARE DISCLAIMED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED # WARRANTIES OF TITLE, MERCHANTABILITY, AGAINST INFRINGEMENT, AND FITNESS # FOR A PARTICULAR PURPOSE # ############################################################################## __doc__='''Batch class, for iterating over a sequence in batches ''' __docformat__ = 'restructuredtext' class LazyPrevBatch: def __of__(self, parent): return Batch(parent._sequence, parent.size, parent.first - parent._size + parent.overlap, 0, parent.orphan, parent.overlap) class LazyNextBatch: def __of__(self, parent): try: parent._sequence[parent.end] except IndexError: return None return Batch(parent._sequence, parent.size, parent.end - parent.overlap, 0, parent.orphan, parent.overlap) class LazySequenceLength: def __of__(self, parent): parent.sequence_length = l = len(parent._sequence) return l class Batch: """Create a sequence batch""" __allow_access_to_unprotected_subobjects__ = 1 previous = LazyPrevBatch() next = LazyNextBatch() sequence_length = LazySequenceLength() def __init__(self, sequence, size, start=0, end=0, orphan=0, overlap=0): '''Encapsulate "sequence" in batches of "size". Arguments: "start" and "end" are 0-based indexes into the sequence. If the next batch would contain no more than "orphan" elements, it is combined with the current batch. "overlap" is the number of elements shared by adjacent batches. If "size" is not specified, it is computed from "start" and "end". If "size" is 0, it is the length of the sequence. Failing that, it is 7. Attributes: Note that the "start" attribute, unlike the argument, is a 1-based index (I know, lame). "first" is the 0-based index. "length" is the actual number of elements in the batch. "sequence_length" is the length of the original, unbatched, sequence Note: "_size" is the "actual" size used to perform batch calulcations, while "size" is the "representative" size. (ie. a "special value" of "size" used by the templates may translate to a different value for "_size" which is used internally for batch calculations). ''' start = start + 1 start,end,sz = opt(start,end,size,orphan,sequence) self._sequence = sequence self.size = size self._size = sz self.start = start self.end = end self.orphan = orphan self.overlap = overlap self.first = max(start - 1, 0) self.length = self.end - self.first if self.first == 0: self.previous = None def __getitem__(self, index): if index < 0: if index + self.end < self.first: raise IndexError(index) return self._sequence[index + self.end] if index >= self.length: raise IndexError(index) return self._sequence[index + self.first] def __len__(self): return self.length def opt(start,end,size,orphan,sequence): if size < 1: if size == 0: size=len(sequence) elif start > 0 and end > 0 and end >= start: size=end+1-start else: size=7 if start > 0: try: sequence[start-1] except IndexError: start=len(sequence) if end > 0: if end < start: end=start else: end=start+size-1 try: sequence[end+orphan-1] except IndexError: end=len(sequence) elif end > 0: try: sequence[end-1] except IndexError: end=len(sequence) start=end+1-size if start - 1 < orphan: start=1 else: start=1 end=start+size-1 try: sequence[end+orphan-1] except IndexError: end=len(sequence) return start,end,size
