Mailman 3 May 2014 - Python-announce-list

Jython 2.7b2 released!
by fwierzbicki＠gmail.com May 6, 2014

May 6, 2014

On behalf of the Jython development team, I'm pleased to announce that the second beta of Jython 2.7 is available. Details are here: http://fwierzbicki.blogspot.com/2014/05/jython-27-beta2-released.html Thanks to Adconion Media Group for sponsoring my work on Jython, and thanks to the many contributors to Jython! -Frank

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Nose 1.3.3 Released
by John Szakmeister May 6, 2014

May 6, 2014

Nose 1.3.3 fixes a simple issue with the reported version number. Sorry for the back-to-back releases. Enjoy! -John

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ANN: dnslib-0.9.0 - DNS library for Python (with Py2/3 support)
by Paul Chakravarti May 5, 2014

May 5, 2014

Hello, I have just uploaded a new version of 'dnslib' to PyPi: https://pypi.python.org/pypi/dnslib/0.9.0 'dnslib' is a simple but very flexible library for encoding & decoding DNS data and creating custom DNS resolvers for Python 2/3. This is the first version that supports Python 3.2+ (and 2.7) and also includes a large number of fixes and additional functionality. (README included below). This is a major release - please submit any issues to the BitBucket issue tracker (https://bitbucket.org/paulc/dnslib). Thanks, PaulC dnslib ------ A library to encode/decode DNS wire-format packets supporting both Python 2.7 and Python 3.2+. The library provides: * Support for encoding/decoding DNS packets between wire format, python objects, and Zone/DiG textual representation (dnslib.dns) * A server framework allowing the simple creation of custom DNS resolvers (dnslib.server) and a number of example servers created using this frameowork * A number of utilities for testing (dnslib.client, dnslib.proxy, dnslib.intercept) Python 3 support was added in Version 0.9.0 which represented a fairly major update to the library - the key changes include: * Python 2.7/3.2+ support (the last version supporting Python 2.6 or earlier was version 0.8.3) * Support for encoding/decoding resource records in 'Zone' (BIND) file format * Support for encoding/decoding backets in 'DiG' format * Server framework allowing (in most cases) custom resolvers to be created by just subclassing the DNSResolver class and overringing the 'resolve' method * A lot of fixes to error detection/handling which should make the library much more robust to invalid/unsupported data. The library should now either return a valid DNSRecord instance or raise DNSError (tested via fuzzing) * Improved utilities (dnslib.client, dnslib.proxy, dnslib.intercept) * Improvements to encoding/decoding tests including the ability to generate test data automatically in test_decode.py (comparing outputs against DiG) * Ability to compare and diff DNSRecords This is a large release and despite the testing there therefore are likely to be some bugs. Once the 0.9 release is sufficiently stable I would expect to release as 1.0.0 (and stabilise th api) The key DNS packet handling classes are in dnslib.dns and map to the standard DNS packet sections: * DNSRecord - container for DNS packet. Contains: - DNSHeader - Question section containing zero or more DNSQuestion objects - Answer section containing zero or more RR objects - Authority section containing zero or more RR objects - Additional section containing zero or more RR objects * DNS RRs (resource records) contain an RR header and an RD object) * Specific RD types are implemented as subclasses of RD * DNS labels are represented by a DNSLabel class - in most cases this handles conversion to/from textual representation however does support arbitatry labels via a tuple of bytes objects) Version 0.9 of the library was a major rewrite to support Python 3.2+ (retaining support for Python 2.7+). As part of the Py3 changes a number of other significant changes were intrtoduced: - Much better error handling (packet decoding errors should be caught and DNSError raised) Usage: ------ To decode a DNS packet: >>> packet = binascii.unhexlify(b'd5ad818000010005000000000377777706676f6f676c6503636f6d0000010001c00c0005000100000005000803777777016cc010c02c0001000100000005000442f95b68c02c0001000100000005000442f95b63c02c0001000100000005000442f95b67c02c0001000100000005000442f95b93') >>> d = DNSRecord.parse(packet) >>> d <DNS Header: id=0xd5ad type=RESPONSE opcode=QUERY flags=RD,RA rcode='NOERROR' q=1 a=5 ns=0 ar=0> <DNS Question: 'www.google.com.' qtype=A qclass=IN> <DNS RR: 'www.google.com.' rtype=CNAME rclass=IN ttl=5 rdata='www.l.google.com.'> <DNS RR: 'www.l.google.com.' rtype=A rclass=IN ttl=5 rdata='66.249.91.104'> <DNS RR: 'www.l.google.com.' rtype=A rclass=IN ttl=5 rdata='66.249.91.99'> <DNS RR: 'www.l.google.com.' rtype=A rclass=IN ttl=5 rdata='66.249.91.103'> <DNS RR: 'www.l.google.com.' rtype=A rclass=IN ttl=5 rdata='66.249.91.147'> The default text representation of the DNSRecord is in zone file format: >>> print(d) ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: 54701 ;; flags: qr rd ra; QUERY: 1, ANSWER: 5, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;www.google.com. IN A ;; ANSWER SECTION: www.google.com. 5 IN CNAME www.l.google.com. www.l.google.com. 5 IN A 66.249.91.104 www.l.google.com. 5 IN A 66.249.91.99 www.l.google.com. 5 IN A 66.249.91.103 www.l.google.com. 5 IN A 66.249.91.147 To create a DNS Request Packet: >>> d = DNSRecord.question("google.com") (This is equivalent to: d = DNSRecord(q=DNSQuestion("google.com") ) >>> d <DNS Header: id=... type=QUERY opcode=QUERY flags=RD rcode='NOERROR' q=1 a=0 ns=0 ar=0> <DNS Question: 'google.com.' qtype=A qclass=IN> >>> str(DNSRecord.parse(d.pack())) == str(d) True >>> print(d) ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: ... ;; flags: rd; QUERY: 1, ANSWER: 0, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;google.com. IN A >>> d = DNSRecord.question("google.com","MX") (This is equivalent to: d = DNSRecord(q=DNSQuestion("google.com",QTYPE.MX) ) >>> str(DNSRecord.parse(d.pack())) == str(d) True >>> print(d) ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: ... ;; flags: rd; QUERY: 1, ANSWER: 0, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;google.com. IN MX To create a DNS Response Packet: >>> d = DNSRecord(DNSHeader(qr=1,aa=1,ra=1), ... q=DNSQuestion("abc.com"), ... a=RR("abc.com",rdata=A("1.2.3.4"))) >>> d <DNS Header: id=... type=RESPONSE opcode=QUERY flags=AA,RD,RA rcode='NOERROR' q=1 a=1 ns=0 ar=0> <DNS Question: 'abc.com.' qtype=A qclass=IN> <DNS RR: 'abc.com.' rtype=A rclass=IN ttl=0 rdata='1.2.3.4'> >>> str(DNSRecord.parse(d.pack())) == str(d) True >>> print(d) ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: ... ;; flags: qr aa rd ra; QUERY: 1, ANSWER: 1, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;abc.com. IN A ;; ANSWER SECTION: abc.com. 0 IN A 1.2.3.4 It is also possible to create RRs from a string in zone file format >>> RR.fromZone("abc.com IN A 1.2.3.4") [<DNS RR: 'abc.com.' rtype=A rclass=IN ttl=0 rdata='1.2.3.4'>] (Note: this produces a list of RRs which should be unpacked if being passed to add_answer/add_auth/add_ar etc) >>> q = DNSRecord.question("abc.com") >>> a = q.reply() >>> a.add_answer(*RR.fromZone("abc.com 60 A 1.2.3.4")) >>> print(a) ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: ... ;; flags: qr aa rd ra; QUERY: 1, ANSWER: 1, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;abc.com. IN A ;; ANSWER SECTION: abc.com. 60 IN A 1.2.3.4 The zone file can contain multiple entries and supports most of the normal format defined in RFC1035 (specifically not $INCLUDE) >>> z = ''' ... $TTL 300 ... $ORIGIN abc.com ... ... @ IN MX 10 mail.abc.com. ... www IN A 1.2.3.4 ... IN TXT "Some Text" ... mail IN CNAME www.abc.com. ... ''' >>> for rr in RR.fromZone(textwrap.dedent(z)): ... print(rr) abc.com. 300 IN MX 10 mail.abc.com. www.abc.com. 300 IN A 1.2.3.4 www.abc.com. 300 IN TXT "Some Text" mail.abc.com. 300 IN CNAME www.abc.com. To create a skeleton reply to a DNS query: >>> q = DNSRecord(q=DNSQuestion("abc.com",QTYPE.ANY)) >>> a = q.reply() >>> a.add_answer(RR("abc.com",QTYPE.A,rdata=A("1.2.3.4"),ttl=60)) >>> str(DNSRecord.parse(a.pack())) == str(a) True >>> print(a) ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: ... ;; flags: qr aa rd ra; QUERY: 1, ANSWER: 1, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;abc.com. IN ANY ;; ANSWER SECTION: abc.com. 60 IN A 1.2.3.4 Add additional RRs: >>> a.add_answer(RR("xxx.abc.com",QTYPE.A,rdata=A("1.2.3.4"))) >>> a.add_answer(RR("xxx.abc.com",QTYPE.AAAA,rdata=AAAA("1234:5678::1"))) >>> str(DNSRecord.parse(a.pack())) == str(a) True >>> print(a) ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: ... ;; flags: qr aa rd ra; QUERY: 1, ANSWER: 3, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;abc.com. IN ANY ;; ANSWER SECTION: abc.com. 60 IN A 1.2.3.4 xxx.abc.com. 0 IN A 1.2.3.4 xxx.abc.com. 0 IN AAAA 1234:5678::1 It is also possible to create a reply from a string in zone file format: >>> q = DNSRecord(q=DNSQuestion("abc.com",QTYPE.ANY)) >>> a = q.replyZone("abc.com 60 IN CNAME xxx.abc.com") >>> print(a) ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: ... ;; flags: qr aa rd ra; QUERY: 1, ANSWER: 1, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;abc.com. IN ANY ;; ANSWER SECTION: abc.com. 60 IN CNAME xxx.abc.com. >>> str(DNSRecord.parse(a.pack())) == str(a) True >>> q = DNSRecord(q=DNSQuestion("abc.com",QTYPE.ANY)) >>> a = q.replyZone(textwrap.dedent(z)) >>> print(a) ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: ... ;; flags: qr aa rd ra; QUERY: 1, ANSWER: 4, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;abc.com. IN ANY ;; ANSWER SECTION: abc.com. 300 IN MX 10 mail.abc.com. www.abc.com. 300 IN A 1.2.3.4 www.abc.com. 300 IN TXT "Some Text" mail.abc.com. 300 IN CNAME www.abc.com. The library also includes a simple framework for generating custom DNS resolvers in dnslib.server (see module docs). In post cases this just requires implementing a custom 'resolve' method which receives a question object and returns a response. A number of sample resolvers are provided as examples (see CLI --help): dnslib.fixedresolver - Respond to all requests with fixed response dnslib.zoneresolver - Respond from Zone file dnslib.shellresolver - Call shell script to generate response The library includes a number of client utilities which can be run using: DiG like client library # python -m dnslib.client --help DNS Proxy Server # python -m dnslib.proxy --help Intercepting DNS Proxy Server (replace proxy responses for specified domains) # python -m dnslib.intercept --help Changelog: ---------- * 0.1 2010-09-19 Initial Release * 0.2 2010-09-22 Minor fixes * 0.3 2010-10-02 Add DNSLabel class to support arbitrary labels (embedded '.') * 0.4 2012-02-26 Merge with dbslib-circuits * 0.5 2012-09-13 Add support for RFC2136 DDNS updates Patch provided by Wesley Shields <wxs(a)FreeBSD.org> - thanks * 0.6 2012-10-20 Basic AAAA support * 0.7 2012-10-20 Add initial EDNS0 support (untested) * 0.8 2012-11-04 Add support for NAPTR, Authority RR and additional RR Patch provided by Stefan Andersson (https://bitbucket.org/norox) - thanks * 0.8.1 2012-11-05 Added NAPTR test case and fixed logic error Patch provided by Stefan Andersson (https://bitbucket.org/norox) - thanks * 0.8.2 2012-11-11 Patch to fix IPv6 formatting Patch provided by Torbjörn Lönnemark (https://bitbucket.org/tobbezz) - thanks * 0.8.3 2013-04-27 Don't parse rdata if rdlength is 0 Patch provided by Wesley Shields <wxs(a)FreeBSD.org> - thanks * 0.9.0 2014-05-05 Major update including Py3 support (see docs) License: -------- * BSD Author: ------- * Paul Chakravarti (paul.chakravarti(a)gmail.com) Master Repository/Issues: ------------------------- * https://bitbucket.org/paulc/dnslib (Cloned on GitHub: https://github.com/paulchakravarti/dnslib)

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[RELEASED] Python 3.4.1rc1
by Larry Hastings May 5, 2014

May 5, 2014

On behalf of the Python development community and the Python 3.4 release team, I'm pleased to announce the availability of Python 3.4.1rc1. Python 3.4.1rc1 has over three hundred bugfixes and other improvements over 3.4.0. One notable change: the version of OpenSSL bundled with the Windows installer no longer has the "HeartBleed" vulnerability. You can download it here: https://www.python.org/download/releases/3.4.1 One note: the "topics" data file for the pydoc is broken in this release. This means the pydoc command and the built-in "help" will fail on some topics. //arry/

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ANN: Scipy 0.14.0 release
by Ralf Gommers May 4, 2014

May 4, 2014

Hi, On behalf of the Scipy development team I'm pleased to announce the availability of Scipy 0.14.0. This release contains new features (see release notes below) and 8 months worth of maintenance work. 80 people contributed to this release. This is also the first release for which binary wheels are available on PyPi for OS X, supporting the python.org Python. Wheels for Windows are still being worked on, those may follow at a later date. This release requires Python 2.6, 2.7 or 3.2-3.4 and NumPy 1.5.1 or greater. Sources and binaries can be found at https://sourceforge.net/projects/scipy/files/scipy/0.14.0/. Enjoy, Ralf ========================== SciPy 0.14.0 Release Notes ========================== .. contents:: SciPy 0.14.0 is the culmination of 8 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes in this release, which are documented below. All users are encouraged to upgrade to this release, as there are a large number of bug-fixes and optimizations. Moreover, our development attention will now shift to bug-fix releases on the 0.14.x branch, and on adding new features on the master branch. This release requires Python 2.6, 2.7 or 3.2-3.4 and NumPy 1.5.1 or greater. New features ============ ``scipy.interpolate`` improvements ---------------------------------- A new wrapper function `scipy.interpolate.interpn` for interpolation on regular grids has been added. `interpn` supports linear and nearest-neighbor interpolation in arbitrary dimensions and spline interpolation in two dimensions. Faster implementations of piecewise polynomials in power and Bernstein polynomial bases have been added as `scipy.interpolate.PPoly` and `scipy.interpolate.BPoly`. New users should use these in favor of `scipy.interpolate.PiecewisePolynomial`. `scipy.interpolate.interp1d` now accepts non-monotonic inputs and sorts them. If performance is critical, sorting can be turned off by using the new ``assume_sorted`` keyword. Functionality for evaluation of bivariate spline derivatives in ``scipy.interpolate`` has been added. The new class `scipy.interpolate.Akima1DInterpolator` implements the piecewise cubic polynomial interpolation scheme devised by H. Akima. Functionality for fast interpolation on regular, unevenly spaced grids in arbitrary dimensions has been added as `scipy.interpolate.RegularGridInterpolator` . ``scipy.linalg`` improvements ----------------------------- The new function `scipy.linalg.dft` computes the matrix of the discrete Fourier transform. A condition number estimation function for matrix exponential, `scipy.linalg.expm_cond`, has been added. ``scipy.optimize`` improvements ------------------------------- A set of benchmarks for optimize, which can be run with ``optimize.bench()``, has been added. `scipy.optimize.curve_fit` now has more controllable error estimation via the ``absolute_sigma`` keyword. Support for passing custom minimization methods to ``optimize.minimize()`` and ``optimize.minimize_scalar()`` has been added, currently useful especially for combining ``optimize.basinhopping()`` with custom local optimizer routines. ``scipy.stats`` improvements ---------------------------- A new class `scipy.stats.multivariate_normal` with functionality for multivariate normal random variables has been added. A lot of work on the ``scipy.stats`` distribution framework has been done. Moment calculations (skew and kurtosis mainly) are fixed and verified, all examples are now runnable, and many small accuracy and performance improvements for individual distributions were merged. The new function `scipy.stats.anderson_ksamp` computes the k-sample Anderson-Darling test for the null hypothesis that k samples come from the same parent population. ``scipy.signal`` improvements ----------------------------- ``scipy.signal.iirfilter`` and related functions to design Butterworth, Chebyshev, elliptical and Bessel IIR filters now all use pole-zero ("zpk") format internally instead of using transformations to numerator/denominator format. The accuracy of the produced filters, especially high-order ones, is improved significantly as a result. The new function `scipy.signal.vectorstrength` computes the vector strength, a measure of phase synchrony, of a set of events. ``scipy.special`` improvements ------------------------------ The functions `scipy.special.boxcox` and `scipy.special.boxcox1p`, which compute the Box-Cox transformation, have been added. ``scipy.sparse`` improvements ----------------------------- - Significant performance improvement in CSR, CSC, and DOK indexing speed. - When using Numpy >= 1.9 (to be released in MM 2014), sparse matrices function correctly when given to arguments of ``np.dot``, ``np.multiply`` and other ufuncs. With earlier Numpy and Scipy versions, the results of such operations are undefined and usually unexpected. - Sparse matrices are no longer limited to ``2^31`` nonzero elements. They automatically switch to using 64-bit index data type for matrices containing more elements. User code written assuming the sparse matrices use int32 as the index data type will continue to work, except for such large matrices. Code dealing with larger matrices needs to accept either int32 or int64 indices. Deprecated features =================== ``anneal`` ---------- The global minimization function `scipy.optimize.anneal` is deprecated. All users should use the `scipy.optimize.basinhopping` function instead. ``scipy.stats`` --------------- ``randwcdf`` and ``randwppf`` functions are deprecated. All users should use distribution-specific ``rvs`` methods instead. Probability calculation aliases ``zprob``, ``fprob`` and ``ksprob`` are deprecated. Use instead the ``sf`` methods of the corresponding distributions or the ``special`` functions directly. ``scipy.interpolate`` --------------------- ``PiecewisePolynomial`` class is deprecated. Backwards incompatible changes ============================== scipy.special.lpmn ------------------ ``lpmn`` no longer accepts complex-valued arguments. A new function ``clpmn`` with uniform complex analytic behavior has been added, and it should be used instead. scipy.sparse.linalg ------------------- Eigenvectors in the case of generalized eigenvalue problem are normalized to unit vectors in 2-norm, rather than following the LAPACK normalization convention. The deprecated UMFPACK wrapper in ``scipy.sparse.linalg`` has been removed due to license and install issues. If available, ``scikits.umfpack`` is still used transparently in the ``spsolve`` and ``factorized`` functions. Otherwise, SuperLU is used instead in these functions. scipy.stats ----------- The deprecated functions ``glm``, ``oneway`` and ``cmedian`` have been removed from ``scipy.stats``. ``stats.scoreatpercentile`` now returns an array instead of a list of percentiles. scipy.interpolate ----------------- The API for computing derivatives of a monotone piecewise interpolation has changed: if `p` is a ``PchipInterpolator`` object, `p.derivative(der)` returns a callable object representing the derivative of `p`. For in-place derivatives use the second argument of the `__call__` method: `p(0.1, der=2)` evaluates the second derivative of `p` at `x=0.1`. The method `p.derivatives` has been removed. Other changes ============= Authors ======= * Marc Abramowitz + * Anders Bech Borchersen + * Vincent Arel-Bundock + * Petr Baudis + * Max Bolingbroke * François Boulogne * Matthew Brett * Lars Buitinck * Evgeni Burovski * CJ Carey + * Thomas A Caswell + * Pawel Chojnacki + * Phillip Cloud + * Stefano Costa + * David Cournapeau * David Menendez Hurtado + * Matthieu Dartiailh + * Christoph Deil + * Jörg Dietrich + * endolith * Francisco de la Peña + * Ben FrantzDale + * Jim Garrison + * André Gaul * Christoph Gohlke * Ralf Gommers * Robert David Grant * Alex Griffing * Blake Griffith * Yaroslav Halchenko * Andreas Hilboll * Kat Huang * Gert-Ludwig Ingold * James T. Webber + * Dorota Jarecka + * Todd Jennings + * Thouis (Ray) Jones * Juan Luis Cano Rodríguez * ktritz + * Jacques Kvam + * Eric Larson + * Justin Lavoie + * Denis Laxalde * Jussi Leinonen + * lemonlaug + * Tim Leslie * Alain Leufroy + * George Lewis + * Max Linke + * Brandon Liu + * Benny Malengier + * Matthias Kümmerer + * Cimarron Mittelsteadt + * Eric Moore * Andrew Nelson + * Niklas Hambüchen + * Joel Nothman + * Clemens Novak * Emanuele Olivetti + * Stefan Otte + * peb + * Josef Perktold * pjwerneck * poolio * Jérôme Roy + * Carl Sandrock + * Andrew Sczesnak + * Shauna + * Fabrice Silva * Daniel B. Smith * Patrick Snape + * Thomas Spura + * Jacob Stevenson * Julian Taylor * Tomas Tomecek * Richard Tsai * Jacob Vanderplas * Joris Vankerschaver + * Pauli Virtanen * Warren Weckesser A total of 80 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete.

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cx_Freeze 4.3.3
by Anthony Tuininga May 4, 2014

May 4, 2014

What is cx_Freeze? cx_Freeze is a set of scripts and modules for freezing Python scripts into executables, in much the same way that py2exe and py2app do. Unlike these two tools, cx_Freeze is cross platform and should work on any platform that Python itself works on. It supports Python 2.6 or higher, including Python 3. Where do I get it? http://cx-freeze.sourceforge.net What's new? http://cx_freeze.readthedocs.org/en/latest/releasenotes.html

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Nose 1.3.2 released
by John Szakmeister May 3, 2014

May 3, 2014

1.3.2 fixes a regression introduced in 1.3.1 on PyPy, and an issue on Python 3.3 and 3.4 that managed to slip by--along with a few other minor fixes. See the CHANGELOG for the details of what was fixed. Also note that nose 1.x is in maintenance mode. We will not be looking to add any features, and you should seriously consider looking at nose2 as the way forward. If you're interested in the future of nose, please take a look at the nose2 project on github (https://github.com/nose-devs/nose2) or pypi (http://pypi.python.org/pypi/nose2/0.4.7). And lastly if you have the money to spare, please consider donating to the John Hunter memorial fund (http://numfocus.org/johnhunter/). We all give up time with our families to work on free software: so now the free software community that has benefited so much from that time we took can give something back to his family. -John

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WSME -- Web Services Made Easy -- 0.6.1
by Doug Hellmann May 2, 2014

May 2, 2014

WSME -- Web Services Made Easy -- 0.6.1 Web Service Made Easy (WSME) simplify the writing of REST web services by providing simple yet powerful typing which removes the need to directly manipulate the request and the response objects. WSME can work standalone or on top of your favorite python web (micro)framework, so you can use both your preferred way of routing your REST requests and most of the features of WSME that rely on the typing system like: * Alternate protocols, including ones supporting batch-calls * Easy documentation through a [1]Sphinx extension What's New In This Release? * Fix error: variable 'kw' referenced before assignment * Fix default handling for zero values * Fixing spelling mistakes * A proper check of UuidType * pecan: cleanup, use global vars and staticmethod * args_from_args() to work with an instance of UserType Documentation [2]Documentation for WSME is hosted on [3]readthedocs.org References 1. http://sphinx-doc.org/ 2. http://http://wsme.readthedocs.org/en/latest/ 3. http://readthedocs.org/

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