Changes in 0.20.0:
------------------
* Updated translations:
ar (Khaled Hosny)
ast (Xandru Armesto Fernandez)
bn (Jamil Ahmed)
ca (Gil Forcada)
da (Ask H. Larsen)
de (Mario Blättermann)
el (Marios Zindilis, Nikos Bakaoukas, Simos Xenitellis)
en_GB (Bruce Cowan)
es (Jorge González)
eu (Inaki Larranaga Murgoitio)
fi (Tommi Vainikainen)
fr (Claude Paroz)
hu (Gabor Kelemen)
it (Milo Casagrande)
ko (Changwoo Ryu)
lt (Žygimantas Beručka)
nn (Torstein Adolf Winterseth)
pa (A S Alam)
pt (Duarte Loreto)
ru (Leonid Kanter)
sr (Miloš Popović)
sr@latin (Miloš Popović)
uk (Maxim V. Dziumanenko)
vi (Clytie)
Changes in 0.19.5:
------------------
* Updated the Mallard RNG schema (Shaun McCance)
* Updated translations:
cs (Petr Kovar)
es (Jorge González)
gl (Fran Diéguez)
pl (Piotr Drąg)
pt_BR (Vladimir Melo)
ro (Lucian Adrian Grijincu)
ta (vasudeven)
zh_HK (Chao-Hsiung Liao)
zh_TW (Chao-Hsiung Liao)
Changes in 0.19.4:
------------------
* Bold userinput inside programlisting (Shaun McCance)
* Updated translations:
es (Jorge González)
et (Ivar Smolin)
sl (Matej Urbančič)
th (Theppitak Karoonboonyanan)
Changes in 0.19.3:
------------------
* Fixed shading with rowspans, bug #606986
* Implemented text titles
* Updated translations:
bg (Alexander Shopov)
bn (Jamil Ahmed)
Changes in 0.19.2:
------------------
* Added 'css' command for Mallard documents
* Fixed theme.color.text default, was white-on-white
* Implemented previous and next links for Mallard documents
* Updated translations:
sv (Daniel Nylander)
de (Mario Blättermann)
nb (Kjartan Maraas)
es (Jorge González)
Changes in 0.19.1:
------------------
* Importing Mallard XSLT changes from yelp-xsl
- Added support for audio and video in Mallard HTML output
- Moved most automatic link logic into common XSLT
- Implemented sorting of link trails
- Implemented link groups on Mallard guide pages
- Added support for Mallard span element
- Added condensed list style for Mallard lists
- Made various parts of the Mallard XSLT more extensible
- Changed Mallard Cache files to use new namespace
* Added Mallard HTML output to gnome-doc-tool
* Added --custom-xslt option to gnome-doc-tool
* Compile mo files before running xml2po (Martin von Gagern)
* Properly clean mo files in build utilities (Claude Paroz)
* Updated translations:
ar (Khaled Hosny)
ca (Gil Forcada)
de (Mario Blättermann)
en@shaw (Thomas Thurman)
es (Jorge González)
ml (Ani)
ro (Lucian Grijincu)
zh_CN (Aron Xu)
drop maintainership.
Version 2.5
* improved the sort filter (should have worked like this for a long time) by
adding support for case insensitive searches.
* fixed a bug for getattribute constant folding.
* support for newstyle gettext translations which result in a nicer
in-template user interface and more consistent catalogs. (Newstyle Gettext)
* it's now possible to register extensions after an environment was created.
Version 2.4.1
* fixed an error reporting bug for undefineds.
Version 2.4
* the environment template loading functions now transparently pass through
a template object if it was passed to it. This makes it possible to
import or extend from a template object that was passed to the template.
* added a ModuleLoader that can load templates from precompiled sources. The
environment now features a method to compile the templates from a configured
loader into a zip file or folder.
* the _speedups C extension now supports Python 3.
* added support for autoescaping toggling sections and support for evaluation
contexts (Evaluation Context).
* extensions have a priority now.
Version 2.3.1
* fixed an error reporting bug on all python versions
* fixed an error reporting bug on Python 2.4
Version 2.3
* fixes issue with code generator that causes unbound variables to be
generated if set was used in if-blocks and other small identifier problems.
* include tags are now able to select between multiple templates and take
the first that exists, if a list of templates is given.
* fixed a problem with having call blocks in outer scopes that have an
argument that is also used as local variable in an inner frame
* greatly improved error message reporting
* implicit tuple expressions can no longer be totally empty. This change
makes {% if %}...{% endif %} a syntax error now.
* added support for translator comments if extracted via babel.
* added with-statement extension.
* experimental Python 3 support.
Version 2.2.1
* fixes some smaller problems for Jinja2 on Jython.
Version 2.2
* Include statements can now be marked with ignore missing to skip non
existing templates.
* Priority of not raised. It's now possible to write not foo in bar as an
alias to foo not in bar like in python. Previously the grammar required
parentheses (not (foo in bar)) which was odd.
* Fixed a bug that caused syntax errors when defining macros or using the
{% call %} tag inside loops.
* Fixed a bug in the parser that made {{ foo[1, 2] }} impossible.
* Made it possible to refer to names from outer scopes in included templates
that were unused in the callers frame
* Fixed a bug that caused internal errors if names where used as iteration
variable and regular variable after the loop if that variable was unused
before the loop.
* Added support for optional scoped modifier to blocks.
* Added support for line-comments.
* Added the meta module.
* Renamed (undocumented) attribute overlay to overlayed on the environment
because it was clashing with a method of the same name.
* speedup extension is now disabled by default.
Based on PR#43384 by Wen Heping.
* Migrated from SWIG to ctypes since 1.5.0:
* Add dependency on devel/py-ctypes for python2.4
* Fix paths for libenchant to exactly load suitable one.
* No need c compiler and buildlink with textproc/enchant.
Changes:
1.6.2:
* Upgraded bundled enchant to v1.6.0.
* Fixed bug in printf() utility function; all input args are now converted
to strings before printing.
1.6.1:
* Fixed loading of enchant DLL on win32 without pkg_resources installed.
* Fixed HTMLChunker to handle unescaped < and > characters that are
clearly not part of a tag.
1.6.0:
* Upgraded to enchant v1.5.0:
* new Broker methods get_param() and set_param() allow
runtime customisation of provider data
* Added the concept of 'chunkers' to enchant.tokenize.get_tokenizer().
These serve split split the text into large chunks of checkable tokens.
* implemented a simple HTMLChunker class
* Moved error classes into 'enchant.errors' for easier importing
* Moved testcases into separate files so they're not loaded by default
* Allowed SpellChecker to use default language if none is specified
* Improved compatibility with Python 3
1.5.3:
* Fixed termination conditions in English tokenization loop.
* Improved unicode detection in English tokenizer.
* Made enchant spellcheck all of its docstrings as part of the
unittest suite.
1.5.2:
* Modify utils.get_resource_filename and utils.win32_data_files for
compatibility with py2exe (which was broken in the move to ctypes).
Thanks to Stephen George for the fix.
1.5.1:
* SpellChecker.add_to_personal renamed to SpellChecker.add and fixed
to use the corresponding Dict method.
1.5.0:
* Migrated from SWIG to ctypes:
* now runs under PyPy!
* also opens possibilities for Jython, IronPython, ...
* Compatibility updates for Python 3.0, mostly around unicode strings
* Dropped compatibility with Python 2.2
Upstream changes:
2009-04-27
* Release 3.14
Removed explicit loading of UNIVERSAL. RJBS.
Reversed the change applied in release 3.09 to fix RT #12239. POD
tag found inside a complex POD tag (e.g., "C<<< I<foo> >>>") is
again parsed as a tag embedded in a tag instead of text and
entities. The previous interpretation of `perldoc perlpod` was
mistaken. (RT #55602 from Christopher J. Madsen).
CaboCha is a Japanese dependency analysis machine based on Support Vector
Machines. It is (89.29%) system that accuracy is the highest as a statistical
Japanese dependency analysis machine as of June, 2001. Moreover, definite
analytical algorithm (Cascaded Chunking Model) that doesn't do back-track is
adopted, and an efficient analysis can be done comparatively.
This package is ruby module for CaboCha.
CaboCha is a Japanese dependency analysis machine based on Support Vector
Machines. It is (89.29%) system that accuracy is the highest as a statistical
Japanese dependency analysis machine as of June, 2001. Moreover, definite
analytical algorithm (Cascaded Chunking Model) that doesn't do back-track is
adopted, and an efficient analysis can be done comparatively.
This package is python module for CaboCha.
CaboCha is a Japanese dependency analysis machine based on Support Vector
Machines. It is (89.29%) system that accuracy is the highest as a statistical
Japanese dependency analysis machine as of June, 2001. Moreover, definite
analytical algorithm (Cascaded Chunking Model) that doesn't do back-track is
adopted, and an efficient analysis can be done comparatively.
This package is perl module for CaboCha.
CaboCha is a Japanese dependency analysis machine based on Support Vector
Machines. It is (89.29%) system that accuracy is the highest as a statistical
Japanese dependency analysis machine as of June, 2001. Moreover, definite
analytical algorithm (Cascaded Chunking Model) that doesn't do back-track is
adopted, and an efficient analysis can be done comparatively.
YamCha is a generic, customizable, and open source text chunker oriented toward
a lot of NLP tasks, such as POS tagging, Named Entity Recognition, base NP
chunking, and Text Chunking. YamCha is using a state-of-the-art machine learning
algorithm called Support Vector Machines (SVMs), first introduced by Vapnik in
1995.
This package is ruby module for YamCha.
YamCha is a generic, customizable, and open source text chunker oriented toward
a lot of NLP tasks, such as POS tagging, Named Entity Recognition, base NP
chunking, and Text Chunking. YamCha is using a state-of-the-art machine learning
algorithm called Support Vector Machines (SVMs), first introduced by Vapnik in
1995.
This package is python module for YamCha.
YamCha is a generic, customizable, and open source text chunker oriented toward
a lot of NLP tasks, such as POS tagging, Named Entity Recognition, base NP
chunking, and Text Chunking. YamCha is using a state-of-the-art machine learning
algorithm called Support Vector Machines (SVMs), first introduced by Vapnik in
1995.
This package is perl module for YamCha.
YamCha is a generic, customizable, and open source text chunker oriented toward
a lot of NLP tasks, such as POS tagging, Named Entity Recognition, base NP
chunking, and Text Chunking. YamCha is using a state-of-the-art machine learning
algorithm called Support Vector Machines (SVMs), first introduced by Vapnik in
1995.
YamCha is exactly the same system which performed the best in the CoNLL2000
Shared Task, Chunking and BaseNP Chunking task.
variety of 7-bit ASCII equivalents including: hexadecimal and decimal
HTML numeric characters references, \u-escapes, standard hexadecimal
and raw hexadecimal.
Packaged by bartosz.kuzma, import from pkgsrc-wip.
2010-05-05 (1.4.3)
* Fixed some test assertions, from Ruby r27587 and r27590, patch by nobu.
* Fixed issue http://github.com/flori/json/issues/#issue/20 reported by
electronicwhisper@github. Thx!
2010-05-05 (1.4.3)
* Fixed some test assertions, from Ruby r27587 and r27590, patch by nobu.
* Fixed issue http://github.com/flori/json/issues/#issue/20 reported by
electronicwhisper@github. Thx!
Gutcheck is a plain-text checking program that specializes in
reporting the problems that spellcheckers don't--errors like
mismatched quotes, misplaced punctuation, unintended blank lines.
It is specifically tuned for checking texts for submission to
Project Gutenberg, though it can be useful elsewhere as well.
