Python-announce-list June 2010

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ANN: mock 0.7.0 beta 1
by Michael Foord 22 Jun '10

22 Jun '10

I'm pleased to announce a new release of the mock module, the first in a while. Konrad Delong has joined me as a maintainer of mock and has been a great help in getting this release out. As there are several major new features this is a beta release, with 0.7.0 final coming out in a few weeks assuming there are no major problems discovered. Please download it and try it out: * http://pypi.python.org/pypi/mock/0.7.0b1 mock is a Python module that provides a core Mock class. It is intended to reduce the need for creating a host of trivial stubs throughout your test suite. After performing an action, you can make assertions about which methods / attributes were used and arguments they were called with. You can also specify return values and set needed attributes in the normal way. mock is tested on Python versions 2.4-2.7 and Python 3. Full documentation is included in the distribution. Changes in 0.7.0 (including the much awaited magic method support) are: * Addition of ``mocksignature`` * Ability to mock magic methods * Ability to use patch and patch.object as class decorators * Renamed ``patch_object`` to ``patch.object`` (``patch_object`` is deprecated) * Addition of ``MagicMock`` class with all magic methods pre-created for you * Python 3 compatibility (tested with 3.2 but should work with 3.0 & 3.1 as well) * Addition of ``patch.dict(...)`` for changing dictionaries during a test * Addition of ``mocksignature`` argument to ``patch`` and ``patch_object`` * ``help(mock)`` works now (on the module). Can no longer use ``__bases__`` as a valid sentinel name (thanks to Stephen Emslie for reporting and diagnosing this) * Addition of soft comparisons: call_args, call_args_list and method_calls return now tuple-like objects which compare equal even when empty args or kwargs are skipped * Added some docstrings. * BUGFIX: ``side_effect`` now works with ``BaseException`` exceptions like ``KeyboardInterrupt`` * BUGFIX: patching the same object twice now restores the patches correctly * The tests now require `unittest2 <http://pypi.python.org/pypi/unittest2>`_ to run * `Konrad Delong <http://konryd.blogspot.com/>`_ added as co-maintainer The main tasks before a 0.7.0 final release are finishing the documentation and docstrings, plus allowing `patch.dict(...)` to act as a context manager (currently decorator only). All the best, Michael Foord -- http://www.ironpythoninaction.com/ http://www.voidspace.org.uk/blog READ CAREFULLY. By accepting and reading this email you agree, on behalf of your employer, to release me from all obligations and waivers arising from any and all NON-NEGOTIATED agreements, licenses, terms-of-service, shrinkwrap, clickwrap, browsewrap, confidentiality, non-disclosure, non-compete and acceptable use policies ("BOGUS AGREEMENTS") that I have entered into with your employer, its partners, licensors, agents and assigns, in perpetuity, without prejudice to my ongoing rights and privileges. You further represent that you have the authority to release me from any BOGUS AGREEMENTS on behalf of your employer.

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Updated Cygwin Package : python-2.6.5-2
by Jason Tishler 21 Jun '10

21 Jun '10

*** Attention Cygwin Python module package maintainers: *** *** Cygwin has migrated from Python 2.5 to 2.6. *** *** Please build, test, and release your packages ASAP. *** New News: === ==== I have updated the version of Python to 2.6.5-2. The tarballs should be available on a Cygwin mirror near you shortly. The following are the changes since the previous release: o promote from experimental to current o build against ncursesw (instead of ncurses) o export PySignal_SetWakeupFd (used by PyGObject/PyGtk) o build _ctypes module against Cygwin's libffi o change /usr/bin/python to be a copy instead of a symlink, so Cygwin Python is directly executable from Windows Note if you upgrade to 2.6.5-2, then any Python 2.5 module will no longer work. Old News: === ==== Python is an interpreted, interactive, object-oriented programming language. If interested, see the Python web site for more details: http://www.python.org/ Please read the README file: /usr/share/doc/Cygwin/python.README since it covers requirements, installation, known issues, etc. Standard News: ======== ==== To update your installation, click on the "Install Cygwin now" link on the http://cygwin.com/ web page. This downloads setup.exe to your system. Then, run setup and answer all of the questions. If you have questions or comments, please send them to the Cygwin mailing list at: cygwin(a)cygwin.com . *** CYGWIN-ANNOUNCE UNSUBSCRIBE INFO *** If you want to unsubscribe from the cygwin-announce mailing list, look at the "List-Unsubscribe: " tag in the email header of this message. Send email to the address specified there. It will be in the format: cygwin-announce-unsubscribe-you=yourdomain.com(a)cygwin.com If you need more information on unsubscribing, start reading here: http://sourceware.org/lists.html#unsubscribe-simple Please read *all* of the information on unsubscribing that is available starting at this URL. Jason -- PGP/GPG Key: http://www.tishler.net/jason/pubkey.asc or key servers Fingerprint: 7A73 1405 7F2B E669 C19D 8784 1AFD E4CC ECF4 8EF6

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[RELEASED] Python 2.7 release candidate 2
by Benjamin Peterson 21 Jun '10

21 Jun '10

On behalf of the Python development team, I'm tickled pink to announce the second release candidate of Python 2.7. Python 2.7 is scheduled (by Guido and Python-dev) to be the last major version in the 2.x series. However, 2.7 will have an extended period of bugfix maintenance. 2.7 includes many features that were first released in Python 3.1. The faster io module, the new nested with statement syntax, improved float repr, set literals, dictionary views, and the memoryview object have been backported from 3.1. Other features include an ordered dictionary implementation, unittests improvements, a new sysconfig module, auto-numbering of fields in the str/unicode format method, and support for ttk Tile in Tkinter. For a more extensive list of changes in 2.7, see http://doc.python.org/dev/whatsnew/2.7.html or Misc/NEWS in the Python distribution. To download Python 2.7 visit: http://www.python.org/download/releases/2.7/ While this is a preview release and is thus not suitable for production use, we strongly encourage Python application and library developers to test the release with their code and report any bugs they encounter to: http://bugs.python.org/ This helps ensure that those upgrading to Python 2.7 will encounter as few bumps as possible. 2.7 documentation can be found at: http://docs.python.org/2.7/ Enjoy! -- Benjamin Peterson Release Manager benjamin at python.org (on behalf of the entire python-dev team and 2.7's contributors)

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[ANNOUNCE] PyGObject 2.21.3 - unstable
by Tomeu Vizoso 21 Jun '10

21 Jun '10

Hi, I am pleased to announce version 2.21.3 of the Python bindings for GObject. The new release is available from ftp.gnome.org as and its mirrors as soon as its synced correctly: http://download.gnome.org/sources/pygobject/2.21/ What's new since PyGObject 2.21.2? - Proper handling of null-ok in virtual methods (Ludovic L'Hours) - Fall back to use the floating references API in glib if there isn't a sinkfunc defined. (Tomeu Vizoso) - Revert "Drop sinkfuncs." (Tomeu Vizoso) - [giounix] Make it possible to compile on glib 2.20 (Johan Dahlin) - Release the lock when potentially invoking Python code. (Sjoerd Simons) Blurb: GObject is an object system library used by GTK+ and GStreamer. PyGObject provides a convenient wrapper for the GObject library for use in Python programs, and takes care of many of the boring details such as managing memory and type casting. When combined with PyGTK, and gnome-python, it can be used to write full featured Gnome applications. Like the GObject library itself PyGObject is licensed under the GNU LGPL, so is suitable for use in both free software and proprietary applications. It is already in use in many applications ranging from small single purpose scripts up to large full featured applications. PyGObject requires glib >= 2.22.4 and Python >= 2.3.5 to build. GIO bindings require glib >= 2.22.4. Please remember that this is an unstable release and shouldn't be used in production. Regards, The PyGObject team

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PyCon Australia 2010 Registration Closes Tomorrow
by Richard Jones 21 Jun '10

21 Jun '10

Hi all, PyCon Australia 2010, to be held at the Sydney Masonic Center over the weekend of June 26 and 27, is only days away. REGISTRATION WILL CLOSE TOMORROW (JUNE 22) AT 1PM! You have until 1PM tomorrow to register and pay. Register here: http://pycon-au.org/reg We will NOT be accepting registrations at the door. We will NOT be accepting money at the door. If you're registered and haven't paid by tomorrow you will not have a seat at the conference dinner. Richard Jones PyCon Australia 2010

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ANN: cssutils 0.9.7b3
by Christof 20 Jun '10

20 Jun '10

what is it ---------- A Python package to parse and build CSS Cascading Style Sheets. (Not a renderer though!) about this release ------------------ 0.9.7b3 is a beta release but quite stable. main changes ------------ 0.9.7b3 100620 + API CHANGE: Changed parameters of script/utility function ``csscombine``. - parameter ``resolveVariables=True`` now (default was ``False`` before) - ``minify = True`` will not parse Comments at all. This is not really a change as comments were not kept in a minified stylesheet anyway but this may speed up stylesheet combination a bit + **PERFORMANCE/IMPROVEMENT**: Added parameter ``parseComments=True`` to CSSParser. If parsing with ``parser = cssutils.CSSParser(parseComments=False).parse...`` comments in a given stylesheet are simple omitted from the resulting stylesheet DOM. + **PERFORMANCE**: Compiled productions in cssutils tokenizer are cached now (to clear it use ``cssutils.tokenize2._TOKENIZER_CACHE.clear()``) which results in a slight performance improvement. Thanks to moscovich! license ------- cssutils is published under the LGPL version 3 or later, see http://cthedot.de/cssutils/ If you have other licensing needs please let me know. download -------- For download options see http://cthedot.de/cssutils/ cssutils needs Python 2.4 or higher or Jython 2.5 and higher (tested with Python 2.6.5(x64), 2.5.4(x32), 2.4.4(x32) and Jython 2.5.1 on Win7 64 only) Bug reports (via Google code), comments, etc are very much appreciated! Thanks. Christof

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[ANN] pyxser-1.4.4r --- Python Object to XML serializer/deserializer
by Daniel Molina Wegener 20 Jun '10

20 Jun '10

Hello Python Community. I'm pleased to announce pyxser-1.4.4r, a python extension which contains functions to serialize and deserialize Python Objects into XML. It is a model based serializer. Here is the ChangeLog entry for this release: ---8<--- 1.4.4r (2010.02.10): Daniel Molina Wegener <dmw(a)coder.cl> * src/include/pyxser_collections.h - added set handling function prototypes. Added support for unicode key names, which are converted to the user settings encoding (ie utf-8) inside the XML output. * src/pyxser_serializer.c - removed memory leak. Addded support for unicode object names in dictionary/list types. * src/pyxser_collections.c - added set handling function prototypes. added name property handling algorithm, so non string name properties are not serialized. I shall extend it to other modules. * src/pyxser_tools.c - added set handling prototypes and set type checking function. * test-utf8-leak.py - added serialization of SQL Alchemy objects, so we can test more complex Python objects serialization. * test-utf8-sqlalchemy.py - added sql alchemy object serialization test. * src/pyxser_serializer.c - reduced serialization algorithms, replacing deep nested if statements by flatten ones. * src/pyxser_collections.c - reduced serialization algorithms replacing deep nested if statements by flatten ones. * src/pyxser_typem.c - reduced serialization algorithms, replacing deep nested if statements by flatten ones. Thanks to pyxser users for their feedback. ---8<--- This release contains some bug fixes, mainly related to type checking and type handling. I hope this small extension will help you on your programming tasks. The project is hosted at: http://sourceforge.net/projects/pyxser/ The web page for the project is located at: http://coder.cl/products/pyxser/ PyPi entry is: http://pypi.python.org/pypi/pyxser/1.4.4r For a sample article on how to integrate pyxser with ZSI WebServices: http://coder.cl/2009/10/18/pyxser-and-zsi-webservices/ Thanks and best regards, -- Daniel Molina Wegener <dmw [at] coder [dot] cl> Software Architect, System Programmer & Web Developer Phone: +56 (2) 979-0277 | Blog: http://coder.cl/

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IMDbPY 4.6
by Davide Alberani 20 Jun '10

20 Jun '10

IMDbPY 4.6 is available (tgz, rpm, exe) from: http://imdbpy.sourceforge.net/ IMDbPY is a Python package useful to retrieve and manage the data of the IMDb movie database about movies, people, characters and companies. In this release, a lot of minor fixes and some overall improvements.. Platform-independent and written in pure Python (and few C lines), IMDbPY can retrieve data from both the IMDb's web server and a local copy of the whole database. IMDbPY package can be very easily used by programmers and developers to provide access to the IMDb's data to their programs. Some simple example scripts are included in the package; other IMDbPY-based programs are available from the home page. -- Davide Alberani <alberanid(a)libero.it> [GPG KeyID: 0x465BFD47] http://www.mimante.net/

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[ANN] stdeb 0.6.0 released, now includes debianize command
by Andrew Straw 19 Jun '10

19 Jun '10

stdeb produces Debian source packages from Python packages via a new distutils command, sdist_dsc. Automatic defaults are provided for the Debian package, but many aspects of the resulting package can be customized. An additional command, bdist_deb, creates a Debian binary package, a .deb file. The new debianize command builds a debian/ directory directly alongside your setup.py. Two convenience utilities are also provided. pypi-install will query the Python Package Index (PyPI) for a package, download it, create a .deb from it, and then install the .deb. py2dsc will convert a distutils-built source tarball into a Debian source package. stdeb: http://github.com/astraw/stdeb This email announces release 0.6.0. download: http://pypi.python.org/pypi/stdeb/0.6.0 Highlights for this release (you may also wish to consult the full changelog): - A new ``debianize`` command to build a ``debian/`` directory alongside your setup.py file. - Bugfixes. As always, please check the release notes: http://github.com/astraw/stdeb/blob/release-0.6.0/RELEASE_NOTES.txt The full changelog is here: http://github.com/astraw/stdeb/blob/release-0.6.0/CHANGELOG.txt

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PyTables 2.2rc2 ready to test
by Francesc Alted 17 Jun '10

17 Jun '10

=========================== Announcing PyTables 2.2rc2 =========================== PyTables is a library for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data with support for full 64-bit file addressing. PyTables runs on top of the HDF5 library and NumPy package for achieving maximum throughput and convenient use. This is the second (and probably last) release candidate for PyTables 2.2, so please test it as much as you can before I declare the beast stable. The main new features in 2.2 series are: * A new compressor called Blosc, designed to read/write data to/from memory at speeds that can be faster than a system `memcpy()` call. With it, many internal PyTables operations that are currently bounded by CPU or I/O bandwith are speed-up. Some benchmarks: http://blosc.pytables.org/trac/wiki/SyntheticBenchmarks * A new `tables.Expr` module (based on Numexpr) that allows to do persistent, on-disk computations on many algebraic operations. For a brief look on its performance, see: http://pytables.org/moin/ComputingKernel * Support for HDF5 hard links, soft links and automatic external links (kind of mounting external filesystems). A new tutorial about its usage has been added to the 'Tutorials' chapter of User's Manual. * Suport for 'fancy' indexing (i.e., à la NumPy) in all the data containers in PyTables. Backported from the implementation in the h5py project. Thanks to Andrew Collette for his fine work on this! As always, a large amount of bugs have been addressed and squashed too. In case you want to know more in detail what has changed in this version, have a look at: http://www.pytables.org/moin/ReleaseNotes/Release_2.2rc2 You can download a source package with generated PDF and HTML docs, as well as binaries for Windows, from: http://www.pytables.org/download/preliminary For an on-line version of the manual, visit: http://www.pytables.org/docs/manual-2.2rc2 Resources ========= About PyTables: http://www.pytables.org About the HDF5 library: http://hdfgroup.org/HDF5/ About NumPy: http://numpy.scipy.org/ Acknowledgments =============== Thanks to many users who provided feature improvements, patches, bug reports, support and suggestions. See the ``THANKS`` file in the distribution package for a (incomplete) list of contributors. Most specially, a lot of kudos go to the HDF5 and NumPy (and numarray!) makers. Without them, PyTables simply would not exist. Share your experience ===================== Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. ---- **Enjoy data!** -- The PyTables Team -- Francesc Alted

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Python-announce-list June 2010