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

Roundup Issue Tracker: http://roundup-tracker.org/