Mailman 3 April 2001 - Python-announce-list

[ANNOUNCE] TMDA 0.10 - python-based anti-spam system for qmail
by Jason R. Mastaler 30 Apr '01

30 Apr '01

I'm pleased to announce a new "major" release of my Tagged Message Delivery Agent (TMDA). New in release 0.10: * The amkCrypto package is no longer necessary. With this release, only the core Python language distribution version 1.5.2 or higher is required to run TMDA. See the `UPGRADE' file if you are upgrading from a previous TMDA release. * Many new features added, and some small bugs fixed. Further release announcements will take place on the tmda-announce mailing list <http://libertine.org/lists/listinfo/>. About TMDA: TMDA is an OSI certified Python application for qmail systems designed to significantly reduce (or eliminate) the amount of SPAM/UCE you receive by using unique, cryptographically enhanced (called tagged) e-mail addresses. TMDA can both filter your incoming e-mail, and tag your outgoing address. For more information, download locations, and installation instructions, visit the TMDA homepage: <URL:http://tmda.sourceforge.net/> Enjoy, Jason R. Mastaler (jason(a)mastaler.com) <P><A HREF="http://tmda.sourceforge.net">TMDA 0.10</A> - A qmail-based anti-SPAM system. (30-Apr-2001)

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ANN: eGenix.com mx COMMERCIAL Extension Package -- Version 2.0.2
by M.-A. Lemburg 30 Apr '01

30 Apr '01

________________________________________________________________________ ANNOUNCING: eGenix.com mx COMMERCIAL Extension Package for Python Version 2.0.2 Full Source Python extensions providing important and useful services for Python programmers. ________________________________________________________________________ WHAT IS IT ?: The eGenix.com mx COMMERCIAL Package for Python is part of the eGenix.com mx Extension Series for Python, a collection of professional quality software tools which enhance Python's usability in many important areas such as ODBC database connectivity, fast text processing, date/time processing and web site programming. The mx COMMERCIAL Extension package includes the well-known "mxODBC" database interface package which provides cross-platform and cross-database commercial quality database access for Python 1.5.2, 2.0 and 2.1. The package comes with full source code, so you can enjoy the benefits of having access to the source code in case you want to tune the package to your particular needs. ________________________________________________________________________ WHAT'S NEW ? We have repackaged the mx BASE Extensions for all major Python releases (1.5.2, 2.0 and 2.1) including binaries and full source code for Windows and Linux as well as distutils based installers for all other platforms. ________________________________________________________________________ SPECIAL OFFER theKompany.com has licensed the eGenix.com mx Commercial Package (which includes mxODBC) for inclusion in their brand new Qt-based Python IDE BlackAdder. It allows developing portable GUI-based database applications which run on Windows and Linux platforms without any change to the source code. BlackAdder includes a 1 CPU license for this package at no extra cost, so you may want to check out their great new product. See http://www.lemburg.com/files/python/eGenix-mx-Extensions.html#BlackAdder for details. ________________________________________________________________________ EGENIX.COM MX COMMERCIAL PACKAGE OVERVIEW: mxODBC - Generic ODBC 2.0-3.5 interface for Python mxODBC is an extension package that provides a Python Database API compliant interface to ODBC capable database drivers and managers. In addition to the capabilities provided through the standard DB API it also gives access to a rich set of catalog methods which allow you to scan the database for tables, procedures, etc. Furthermore, it uses the mxDateTime package for date/time value interfacing eliminating most of the problems these types normally introduce (other in/output formats are available too). mxODBC allows you to interface to more than one database from one process, making inter-database interfacing very flexible and reliable. The source version includes a varity of preconfigured setups for many commonly used databases such as MySQL, Oracle, Informix, Solid, SAP DB, Sybase ASA and ASE, DBMaker and many more. The precompiled versions for Windows and Linux include the interfaces to the standard ODBC manager on these platforms to allow for a more easily configurable setup. More details are available at: http://www.lemburg.com/files/python/mxODBC.html ________________________________________________________________________ WHERE CAN I GET IT ? The download archives and instructions for installing the packages can be found at: http://www.lemburg.com/files/python/ Note that in order to use the eGenix.com mx COMMERCIAL Extension Package you will also need to install the eGenix.com mx BASE Extension Package which can be downloaded from the same location. ________________________________________________________________________ WHAT DOES IT COST ? mxODBC comes with a licenses which allows non-commercial use at no charge, but costs a moderate fee for commercial and governmental use. Please see http://www.lemburg.com/files/python/eGenix-mx-Extensions.html#mxCOMMERCIAL for details. ________________________________________________________________________ WHERE CAN I GET SUPPORT ? Commercial quality support for these packages is available from eGenix.com Software GmbH. Please see http://www.lemburg.com/files/python/eGenix-mx-Extensions.html#Support for details about the eGenix support offerings. ________________________________________________________________________ REFERENCE: <P><A HREF="http://www.lemburg.com/files/python/">eGenix.com mx COMMERCIAL Extension Package 2.0.2</A> - eGenix.com mx COMMERCIAL Extension Package 2.0.2 with distutils support and precompiled binaries for Windows and Linux. (30-Apr-2001) ________________________________________________________________________ Enjoy, -- Marc-Andre Lemburg ______________________________________________________________________ Company & Consulting: http://www.egenix.com/ Python Software: http://www.lemburg.com/python/

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ANN: eGenix.com mx BASE Extension Package -- Version 2.0.1
by M.-A. Lemburg 30 Apr '01

30 Apr '01

________________________________________________________________________ ANNOUNCING: eGenix.com mx BASE Extension Package for Python Version 2.0.1 Open Source Python extensions providing important and useful services for Python programmers. ________________________________________________________________________ WHAT IS IT ?: The eGenix.com mx BASE Extensions for Python are a collection of professional quality software tools which enhance Python's usability in many important areas such as fast text searching, date/time processing and high speed datatypes. Python is an open-oriented Open Source programming language which runs on all modern platforms (http://www.python.org/). By integrating ease-of-use, clarity in coding, enterprise application connectivity and rapid application design, Python establishes an ideal programming platform for todays IT challenges. The tools have a proven record of being portable across many Unix and Windows platforms, e.g. you can write applications which use the tools on Windows and then run them on Unix platforms without change due to the consistent platforms independent interfaces. All available packages have proven their stability and usefulness in many mission critical applications and various commercial settings all around the world. ________________________________________________________________________ WHAT'S NEW ? We have repackaged the mx BASE Extensions for all major Python releases (1.5.2, 2.0 and 2.1). The 2.0.1 version now also include the header files needed by third party software which were forgotten in the 2.0.0 release. ________________________________________________________________________ EGENIX.COM MX BASE PACKAGE OVERVIEW: mxDateTime - Generic Date/Time Types mxDateTime is an extension package that provides three new object types, DateTime, DateTimeDelta and RelativeDateTime, which let you store and handle date/time values in a much more natural way than by using ticks (seconds since 1.1.70 0:00 UTC; the encoding used by the time module). You can add, subtract and even multiply instances, pickle and copy them and convert the results to strings, COM dates, ticks and some other more esoteric values. In addition, there are several convenient constructors and formatters at hand to greatly simplify dealing with dates and times in real-world applications. In addition to providing an easy-to-use Python interface the package also exports a comfortable C API interface for other extensions to build upon. This is especially interesting for database applications which often have to deal with date/time values (the mxODBC package is one example of an extension using this interface). mxTextTools - Fast Text Processing Tools mxTextTools is an extension package for Python that provides several useful functions and types that implement high-performance text manipulation and searching algorithms in addition to a very flexible and extendable state machine, the Tagging Engine, that allows scanning and processing text based on low-level byte-code "programs" written using Python tuples. It gives you access to the speed of C without the need to do any compile and link steps every time you change the parsing description. Applications include parsing structured text, finding and extracting text (either exact or using translation tables) and recombining strings to form new text. mxStack - Fast and Memory-Efficient Stack Type mxStack is an extension package that provides a new object type called Stack. It works much like what you would expect from such a type, having .push() and .pop() methods and focusses on obtaining maximum speed at low memory costs. mxTools - Collection of Additional Builtins mxTools is an extension package that includes a collection of handy functions and objects giving additional functionality in form of new builtins to the Python programmer. The package auto-installs the new functions and objects as builtins upon first import. This means that they become instantely available to all other modules without any further action on your part. Add the line import NewBuiltins to your site.py script and they will be available to all users at your site as if they were installed in the Python interpreter itself. mxProxy - Generic Proxy Wrapper Type mxProxy is an extension package that provides a new type that is suitable to implement Bastion like features without the need to use restricted execution environments. The type's main features are secure data encapsulation (the hidden objects are not accessible from Python since they are stored in internal C structures), customizable attribute lookup methods and a cleanup protocol that helps in breaking circular references prior to object deletion. The latest version adds a very interesting new feature: weak references which help you work with circular references in a way that doesn't cause memory leakage in a Python system. Note that even though Python 2.1 has its own weak reference implemetation, this package can be used to write applications which also work on Python 1.5.2 and 2.0. mxBeeBase - On-disk B+Tree Based Database Kit mxBeeBase is a high performance construction kit for disk based indexed databases. It offers components which you can plug together to easily build your own custom mid-sized databases (the current size limit is <CODE>sizeof(long)</CODE> which gives you an address range of around 2GB on 32-bit platforms). The two basic building blocks in mxBeeBase are storage and index. Storage is implemented as variable record length data storage with integrated data protection features, automatic data recovery and locking for multi process access. Indexes use a high performance optimized B+Tree implementation built on top of Thomas Niemann's Cookbook B+Tree implementation (http://epaperpress.com/). ________________________________________________________________________ WHERE CAN I GET IT ? The download archives and instructions for installing the packages can be found at: http://www.lemburg.com/files/python/ ________________________________________________________________________ WHAT DOES IT COST ? The BASE packages come with a Python 2.0 style license, which means that you can use them in both commercial and non-commercial settings without fee or charge. All packages come with full source code. ________________________________________________________________________ WHERE CAN I GET SUPPORT ? Commercial quality support for these packages is available from eGenix.com Software GmbH. Please see http://www.lemburg.com/files/python/eGenix-mx-Extensions.html#Support for details about the eGenix support offerings. ________________________________________________________________________ REFERENCE: <P><A HREF="http://www.lemburg.com/files/python/">eGenix.com mx BASE Extension Package 2.0.1</A> - eGenix.com mx BASE Extension Package 2.0.1 with precompiled binaries for Windows and Linux. (30-Apr-2001) ________________________________________________________________________ Enjoy, -- Marc-Andre Lemburg ______________________________________________________________________ Company & Consulting: http://www.egenix.com/ Python Software: http://www.lemburg.com/python/

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ANNOUNCE: JPE, the Java-Python Extension - first beta release
by Frederic Giacometti 29 Apr '01

29 Apr '01

April 28, 2001 I am pleased to announce the first beta release of JPE, the Java-Python Extension. JPE is at once: - A Python module (named 'java') providing access to all Java services from Python - A Java package (named 'python') providing access to all Python services from Java Computing Paradigm ================== JPE relies on the following computing paradigm: One Python VM (PyInterp* pointer) an one Java VM (JavaVM* pointer) are in the same process. The virtual machines act as common process resources, shared by the threads. Each virtual machine has its own thread-specific execution environment (PyThreadState* pointer in Python, JNIEnv* pointer in Java). Each thread is attached to zero or one thread environment from each virtual machine; each thread environment is attached to one thread. The paradigm is generic. I have not done much research in the literature in this regard, but I am not aware of a similar pattern. I'll baptize it the "symmetrical virtual machine" pattern :)) This is different from Jython, for instance, in the sense that Jython is an emulation of the Python VM, written in Java, and entirely running within the Java VM. The advantage of the symmetrical virtual machine approach over the emulation is that we get to work with the actual, full-featured Python VM, rather than with an emulation on top of another virtual machine, emulation which necesseraly suffers from limitations inherited from the emulating environment. Object semantics are the same in both environments. Voila! Frederic Giacometti frederic.giacometti(a)arakne.com The home of JPE is http://www.arakne.com/jpe JPE can be downloaded directly at http://sourceforge.net/projects/jpe

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[Module] SOAPy/0.1
by Adam Elman 26 Apr '01

26 Apr '01

SOAPy/0.1 --------- SOAP/XML Schema library for Python SOAPy is a library for accessing SOAP-based web services from Python applications. Given either a WSDL or SDL document, SOAPy discovers the published API for a web service and exposes it to Python applications as transparently as possible. SOAPy is designed to support WSDL 1.0 and SOAP 1.1, and whatever version of SDL is being used to power Microsoft's TerraService web service. :) URL: http://soapy.sourceforge.net/ Download: http://prdownloads.sourceforge.net/soapy/soapy-0.1.tar.gz License: Python Style Requires: PyXML, Distutils Categories: Remote and Distributed Adam Elman (aelman(a)users.sourceforge.net) -- <a href="http://soapy.sourceforge.net/">SOAPy/0.1</a> -- SOAP/XML Schema library for Python

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[Module] xmms-py
by Parnassus Submission 26 Apr '01

26 Apr '01

xmms-py ------- Control xmms from Python This little package allow you to control xmms from Python code (start/stop/change trck/etc.) Only tested with xmms 1.0.1. Should work with any Python since 1.5.2 (possibly earlier). URL: http://starship.python.net/crew/mwh/hacks/xmms-py.html Download: http://starship.python.net/crew/mwh/hacks/xmms-py-2.tar.gz License: Public Domain Platform: Unix Categories: Sound/Audio Michael Hudson -- <a href="http://starship.python.net/crew/mwh/hacks/xmms-py.html">xmms-py</a> -- Control xmms from Python

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python-dev summary 2001-04-12 - 2001-04-26
by Michael Hudson 26 Apr '01

26 Apr '01

This is a summary of traffic on the python-dev mailing list between Apr 12 and Apr 25 (inclusive) 2001. It is intended to inform the wider Python community of ongoing developments. To comment, just post to python-list(a)python.org or comp.lang.python in the usual way. Give your posting a meaningful subject line, and if it's about a PEP, include the PEP number (e.g. Subject: PEP 201 - Lockstep iteration) All python-dev members are interested in seeing ideas discussed by the community, so don't hesitate to take a stance on a PEP if you have an opinion. This is the sixth summary written by Michael Hudson. Summaries are archived at: <http://starship.python.net/crew/mwh/summaries/> Posting distribution (with apologies to mbm) Number of articles in summary: 293 40 | [|] | [|] | [|] [|] [|] | [|] [|] [|] [|] | [|] [|] [|] [|] 30 | [|] [|] [|] [|] | [|] [|] [|] [|] | [|] [|] [|] [|] [|] | [|] [|] [|] [|] [|] | [|] [|] [|] [|] [|] 20 | [|] [|] [|] [|] [|] [|] | [|] [|] [|] [|] [|] [|] [|] | [|] [|] [|] [|] [|] [|] [|] [|] | [|] [|] [|] [|] [|] [|] [|] [|] [|] | [|] [|] [|] [|] [|] [|] [|] [|] [|] 10 | [|] [|] [|] [|] [|] [|] [|] [|] [|] [|] | [|] [|] [|] [|] [|] [|] [|] [|] [|] [|] | [|] [|] [|] [|] [|] [|] [|] [|] [|] [|] [|] | [|] [|] [|] [|] [|] [|] [|] [|] [|] [|] [|] [|] | [|] [|] [|] [|] [|] [|] [|] [|] [|] [|] [|] [|] [|] [|] 0 +-019-039-037-038-006-028-018-012-042-016-008-023-003-004 Thu 12| Sat 14| Mon 16| Wed 18| Fri 20| Sun 22| Tue 24| Fri 13 Sun 15 Tue 17 Thu 19 Sat 21 Mon 23 Wed 25 * Python 2.1 is released! * After Tim found a bug of staggering subtlety in the dict code: <http://mail.python.org/pipermail/python-dev/2001-April/014272.html> And Guido released a release candidate or two: <http://mail.python.org/pipermail/python-dev/2001-April/014205.html> <http://mail.python.org/pipermail/python-dev/2001-April/014290.html> Python 2.1 was unleashed on the world: <http://mail.python.org/pipermail/python-dev/2001-April/014298.html> which has already been incorporated into the cygwin distribution: <http://mail.python.org/pipermail/python-dev/2001-April/014311.html> * Iterators * Guido asked whether we thought he should check his prototype iterator implementation into the main trunk: <http://mail.python.org/pipermail/python-dev/2001-April/014353.html> After everyone said "yes!", he did so, so you can play around with iterators if you build a Python from CVS. Discussion of this feature is going on the python-iterators list at sourceforge: <http://lists.sourceforge.net/lists/listinfo/python-iterators> * Class methods * Thomas Heller posted another plea for class methods to be included in some future version of Python: <http://mail.python.org/pipermail/python-dev/2001-April/014365.html> Discussion wandered around a bit, drifting onto metaclasses and some tantalizing hints of Guido's plans for attacking the dreaded type/class split in Python 2.2. * Suirprise! * Tim Peter's posted a surprising consequence of how Python handles chained comparisons: <http://mail.python.org/pipermail/python-dev/2001-April/014399.html> This may elicit a warning from the compiler in 2.2... Cheers, M.

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ANN: mxNumber -- Experimental Number Types, Version 0.2.0
by M.-A. Lemburg 25 Apr '01

25 Apr '01

ANNOUNCING mxNumber - Version 0.2.0 Python Interface to GNU MP Number Types INTRODUCTION ------------ As you all know, Moshe Zadka has been pushing for a new rational number type recently (at the conference) and also implemented a proof- of-concept implementation of his rational PEP 239. Since the GNU Multi-Precision Lib (GMP) already has all these tools providing what people want most when it comes to numbers (precision and speed), I thought that wrapping these as Python types would be a good idea. I know that Alex Martelli has been working on a similar approach, but that project (gmpy) seems to be inactive. Anyway, even though the GMP is available for most Unix platforms and MacOS, there was no relyable port for Windows. This was a show- stopper for me, so I decided to port GMP to Windows, which was harder than I thought, but well, it's done now. There's still no web-page for this package, so I'm providing the needed information in this posting. WHAT'S NEW ? ------------ The 0.2.0 release is an alpha release. Everything is still in flux, so expect bugs, strange behaviour etc. Still, the package provides some interesting insights into the issues you run into when dealing with computational representations of numbers. For now, you should consider the package a pure fun-package and playground for experiments. New in this release are a parser for rational strings (formats "1/2" and "3 1/3"), plus a new constructor FareyRational() which was inspired by an algorithm written by Scott David Daniels and posted to the Python Cookbook; see http://www.activestate.com/ASPN/Python/Cookbook/Recipe/52317 The FareyRational() constructor allows you to convert floating point numbers to rationals, e.g. 1.3333 to 4/3. INTERFACE --------- The package is part of the eGenix.com EXPERIMENTAL package and called mx.Number. It provides access to three numerical types: 1. Integer(value) -- arbitrary precision integers much like Python long only faster 2. Rational(nom,denom) -- rational numbers with Integers as numerator and denominator 3. Float(value[,prec]) -- floating point number with at least prec bits precision 4. FareyRational(value, maxden) -- calculate the best rational represenation n/d of value such that d < maxden DOWNLOADS --------- * GMP 3.1.1 - Unix: GMP 3.1.1 must be installed (http://www.swox.com/gmp/) - Windows: GMP 3.1.1 is included in the download archives for Windows * Python 2.1 * Optional: egenix-mx-base package available from http://www.lemburg.com/files/python/ * The "egenix-mx-experimental" package which includes mx.Number: Source: http://www.lemburg.com/files/python/egenix-mx-experimental-0.2.0.zip RPM: http://www.lemburg.com/files/python/egenix-mx-experimental-0.2.0-1.i386-py2… Windows installer: http://www.lemburg.com/files/python/egenix-mx-experimental-0.2.0.win32-py2.… Usage is simple: ---------------- from mx.Number import * f = Float(3.141) r1 = Rational(3.141) r2 = Rational(2, 3) r3 = FareyRational(1.33333, 1000) i = Integer("1231231231231231231231231") The coercion model will (someday) look like this: Float ^ | --------> Python float | ^ | | | Rational | ^ | | Python long -----> Integer ^ ^ | | -------- Python integer Complex numbers are not integrated into the picture since I think that they should not be auto-coerced. Some of these arrows are not implemented yet, others are not shown (e.g. Integer(2) + "3" works as one would expect ;-). Note that this is still a very rough version. Feedback is welcome. QUESTIONS --------- * What do you think about this coercion model ? Shouldn't we have a PEP for this ? * Please try out the rational type and see if it fits your needs -- the results are sometimes surprising (due to the IEEE representations of floats); I'm sure this proof of concept will raise a few more questions regarding the usefulness of switching to rationals for literals like 1.123. * This implementation also showed that even though the coercion patches have made integraton of numerical types easier, a full integration is still hard to achieve. Some issues: - string formatting cannot be "overridden" to allow formatting of these new types - there is no way of providing PyArg_ParseTuple() parser markers for the types - there is no way to bind the types to a Python literal, e.g. by specifying a number literal modifier which is then bound to the type: 1234L -> long("1234"), 1234.123F -> Float("1234.123"), 2R / 3 -> Rational(2, 3) etc. Comments ? -- Marc-Andre Lemburg ______________________________________________________________________ Company & Consulting: http://www.egenix.com/ Python Software: http://www.lemburg.com/python/

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ANN: updated port of Python 2.0 to OS/2+EMX
by Andrew MacIntyre 25 Apr '01

25 Apr '01

I have released an update of my port of Python 2.0 to OS/2, using the EMX compiler/runtime tools. Significant changes since the 31 March, 2001 release: - dynamically loadable modules with module names longer than 8 characters are now handled by silently truncating the name to 8 characters during import. - I have implemented native popen[234]() interfaces, modelled very closely on the Win32 implementation. Redirecting Python's stdio & stderr no longer results in bizarreness with popen[234](). - DistUtils is now OS/2&EMX aware. I'm not sure whether I've covered all cases, but it is sufficiently functional to build and install NumPy v19.0.0, including the extra packages in the Numpy sourceball. - A variant of the port incorporating Christian Tismer's Stackless Python patches is now available. - I have written Python library modules that substitute for the standard extension modules pwd and grp, located in Lib/plat-os2emx. These replacement modules fully support Unix style passwd and group database files, and obey the interface documented in the Python Library reference for the pwd and grp modules. Binary installation archives for both standard (python-2.0-os2emx-bin-010425.zip) and Stackless Python (python-2.0-os2emx-slbin-010425.zip, accompanied by an archive containing source patches and makefiles (python-2.0-os2emx-src-010425.zip, have been uploaded to the incoming directories at the Hobbes (http://hobbes.nmsu.edu/) and LEO (http://archiv.leo.org/) OS/2 software archives, and will hopefully be available for download shortly. The complete README for this update can be accessed via http://www.pcug.org.au/~andymac/software.html, along with the above packages (please get the packages from Hobbes or LEO where possible). Getting 2.1 ported to OS/2 is now the objective. -- Andrew I MacIntyre "These thoughts are mine alone..." E-mail: andrew.macintyre(a)aba.gov.au (work) | Snail: PO Box 370 andymac(a)bullseye.apana.org.au (play) | Belconnen ACT 2616 andymac(a)pcug.org.au (play2) | Australia

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Announcing Wing IDE v. 1.1b4
by Stephan R.A. Deibel 24 Apr '01

24 Apr '01

Hi, We're happy to announce the release of version 1.1b4 of Wing IDE. This includes substantial improvements and new features since 1.1b3. For example: Python 2.1 support, recent menus for files/projects, online help, cross-platform project files, configurable menu font/size, environment variables for debug process, improved debug variable tracking by symbol or object reference, expanded keyboard/command macros, and many bug fixes. Wing IDE provides a full graphical debugger with networked debugging, interactive shell, and expression evaluator; powerful source code browser; and source code editor with syntax highlighting, auto-completion, auto-indentation, source structure menu, zooming to point of definition, multi-part key bindings, keyboard/command macros, and an emacs personality. Version 1.1b4 is available for Windows 98/NT4/2000 and most recent Linux distributions. For more information, see http://www.wingide.com/wingide . Thanks, - Stephan ------------------------------------------------------------------------ Archaeopteryx Software, Inc. Wing IDE for Python www.archaeopteryx.com Take Flight!

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