view roundup/cgi/ZTUtils/Batch.py @ 5132:0142b4fb5a2d

issue2550648 - partial fix for problem in this issue. Ezio Melotti reported that the expression editor allowed the user to generate an expression using retired values. To align the expression editor with the simple dropdown search item, retired values are now removed from the expression editor. Do we really want this though? Supposed a keyword is retired and I want to search for an issue with that retired keyword? Do we have a best policy document that says to remove retired keywords from all places it could possibly be used? It could be argued that the simple search dropdown is wrong and should allow selecting retired values.
author John Rouillard <rouilj@ieee.org>
date Fri, 08 Jul 2016 19:31:02 -0400
parents 39af8a0f3446
children 35ea9b1efc14
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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/