Mercurial > p > roundup > code
view roundup/cgi/ZTUtils/Batch.py @ 7322:485cecfba982
Simplify TOC; older docs pushed a level down; Consolidate debugging
Restructured docs.txt. Pulled out older documents into Old Docs.
I wish I could add whitespace between documents in the toc. Current
order split into groupings:
Roundup Features
Roundup Features
Installing Roundup
Upgrading to newer versions of Roundup
Reporting Security Issues with Roundup
Roundup FAQ
User Guide
Customising Roundup
REST API for Roundup
XML-RPC access to Roundup
Roundup Reference
Roundup Glossary
Administration Guide
License
Acknowledgements
Other Docs
debugging.txt removed. Its contents replaced a reference in
developer.txt.
Added olderdocs for:
docs/upgrading-history
docs/tracker_templates
Design Overview <docs/overview>
Design (original) <docs/design>
docs/developers
Notes about the MySQL Database backend <docs/mysql>
Notes about the PostgreSQL Database backend <docs/postgresql>
Richard Jones implementation notes <docs/implementation>
docs/security-history
to keep them out of the docs.txt sidebar.
| author | John Rouillard <rouilj@ieee.org> |
|---|---|
| date | Thu, 11 May 2023 13:50:57 -0400 |
| 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
