Mailman 3 October 2016 - Distutils-SIG

Sample setup.py for Numeric Python
by Greg Ward April 29, 2018

April 29, 2018

Hi again -- [cc'd to Paul Dubois: you said you weren't following the distutils sig anymore, but this directly concerns NumPy and I'd like to get your input!] here's that sample setup.py for NumPy. See below for discussion (and questions!). ------------------------------------------------------------------------ #!/usr/bin/env python # Setup script example for building the Numeric extension to Python. # This does sucessfully compile all the .dlls. Nothing happens # with the .py files currently. # Move this file to the Numerical directory of the LLNL numpy # distribution and run as: # python numpysetup.py --verbose build_ext # # created 1999/08 Perry Stoll __rcsid__ = "$Id: numpysetup.py,v 1.1 1999/09/12 20:42:48 gward Exp $" from distutils.core import setup setup (name = "numerical", version = "0.01", description = "Numerical Extension to Python", url = "http://www.python.org/sigs/matrix-sig/", ext_modules = [ ( '_numpy', { 'sources' : [ 'Src/_numpymodule.c', 'Src/arrayobject.c', 'Src/ufuncobject.c' ], 'include_dirs' : ['./Include'], 'def_file' : 'Src/numpy.def' } ), ( 'multiarray', { 'sources' : ['Src/multiarraymodule.c'], 'include_dirs' : ['./Include'], 'def_file': 'Src/multiarray.def' } ), ( 'umath', { 'sources': ['Src/umathmodule.c'], 'include_dirs' : ['./Include'], 'def_file' : 'Src/umath.def' } ), ( 'fftpack', { 'sources': ['Src/fftpackmodule.c', 'Src/fftpack.c'], 'include_dirs' : ['./Include'], 'def_file' : 'Src/fftpack.def' } ), ( 'lapack_lite', { 'sources' : [ 'Src/lapack_litemodule.c', 'Src/dlapack_lite.c', 'Src/zlapack_lite.c', 'Src/blas_lite.c', 'Src/f2c_lite.c' ], 'include_dirs' : ['./Include'], 'def_file' : 'Src/lapack_lite.def' } ), ( 'ranlib', { 'sources': ['Src/ranlibmodule.c', 'Src/ranlib.c', 'Src/com.c', 'Src/linpack.c', ], 'include_dirs' : ['./Include'], 'def_file' : 'Src/ranlib.def' } ), ] ) ------------------------------------------------------------------------ First, what d'you think? Too clunky and verbose? Too much information for each extension? I kind of think so, but I'm not sure how to reduce it elegantly. Right now, the internal data structures needed to compile a module are pretty obviously exposed: is this a good thing? Or should there be some more compact form for setup.py that will be expanded later into the full glory we see above? I've already made one small step towards reducing the amount of cruft by factoring 'include_dirs' out and supplying it directly as a parameter to 'setup()'. (But that needs code not in the CVS archive yet, so I've left the sample setup.py the same for now.) The next thing I'd like to do is get that damn "def_file" out of there. To support it in MSVCCompiler, there's already an ugly hack that unnecessarily affects both the UnixCCompiler and CCompiler classes, and I want to get rid of that. (I refer to passing the 'build_info' dictionary into the compiler classes, if you're familiar with the code -- that dictionary is part of the Distutils extension-building system, and should not propagate into the more general compiler classes.) But I don't want to give these weird "def file" things standing on the order of source files, object files, libraries, etc., because they seem to me to be a bizarre artifact of one particular compiler, rather than something present in a wide range of C/C++ compilers. Based on the NumPy model, it seems like there's a not-too-kludgy way to handle this problem. Namely: if building extension "foo": if file "foo.def" found in same directory as "foo.c" add "/def:foo.def" to MSVC command line this will of course require some platform-specific code in the build_ext command class, but I figured that was coming eventually, so why put it off? ;-) To make this hack work with NumPy, one change would be necessary: rename Src/numpy.def to Src/_numpy.def to match Src/_numpy.c, which implements the _numpy module. Would this be too much to ask of NumPy? (Paul?) What about other module distributions that support MSVC++ and thus ship with "def" files? Could they be made to accomodate this scheme? Thanks for your feedback -- Greg -- Greg Ward - software developer gward(a)cnri.reston.va.us Corporation for National Research Initiatives 1895 Preston White Drive voice: +1-703-620-8990 Reston, Virginia, USA 20191-5434 fax: +1-703-620-0913

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Can now compile simple extensions
by Greg Ward April 29, 2018

April 29, 2018

Hi all -- at long last, I found the time to hack in the ability to compile extension modules to the Distutils. Mainly, this meant adding a 'build_ext' command which uses a CCompiler instance for all its dirty work. I also had to add a few methods to CCompiler (and, of course, UnixCCompiler) to make this work. And I added a new module, 'spawn', which takes care of running sub-programs more efficiently and robustly (no shell involved) than os.system. That's needed, obviously, so we can run the compiler! If you're in the mood for grubbing over raw source code, then get the latest from CVS or download a current snapshot. See http://www.python.org/sigs/distutils-sig/implementation.html for a link to the code snapshot. I'm still waiting for more subclasses of CCompiler to appear. At the very least, we're going to need MSVCCompiler to build extensions on Windows. Any takers? Also, someone who knows the Mac, and how to run compilers programmatically there, will have to figure out how to write a Mac-specific concrete CCompiler subclass. The spawn module also needs a bit of work to be portable. I suspect that _win32_spawn() (the intended analog to my _posix_spawn()) will be easy to implement, if it even needs to go in a separate function at all. It looks from the Python Library documentation for 1.5.2 that the os.spawnv() function is all we need, but it's a bit hard to figure out just what's needed. Windows wizards, please take a look at the 'spawn()' function and see if you can make it work on Windows. As for actually compiling extensions: well, if you can figure out the build_ext command, go ahead and give it a whirl. It's a bit cryptic right now, since there's no documentation and no example setup.py. (I have a working example at home, but it's not available online.) If you feel up to it, though, see if you can read the code and figure out what's going on. I'm just hoping *I'll* be able to figure out what's going on when I get back from the O'Reilly conference next week... ;-) Enjoy -- Greg -- Greg Ward - software developer gward(a)cnri.reston.va.us Corporation for National Research Initiatives 1895 Preston White Drive voice: +1-703-620-8990 Reston, Virginia, USA 20191-5434 fax: +1-703-620-0913

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Two fixes (at last)
by Greg Ward April 29, 2018

April 29, 2018

Hi all -- at long last, I have fixed two problems that a couple people noticed a while ago: * I folded in Amos Latteier's NT patches almost verbatim -- just changed an `os.path.sep == "/"' to `os.name == "posix"' and added some comments bitching about the inadequacy of the current library installation model (I think this is Python's fault, but for now Distutils is slavishly aping the situation in Python 1.5.x) * I fixed the problem whereby running "setup.py install" without doing anything else caused a crash (because 'build' hadn't yet been run). Now, the 'install' command automatically runs 'build' before doing anything; to make this bearable, I added a 'have_run' dictionary to the Distribution class to keep track of which commands have been run. So now not only are command classes singletons, but their 'run' method can only be invoked once -- both restrictions enforced by Distribution. The code is checked into CVS, or you can download a snapshot at http://www.python.org/sigs/distutils-sig/distutils-19990607.tar.gz Hope someone (Amos?) can try the new version under NT. Any takers for Mac OS? BTW, all parties involved in the Great "Where Do We Install Stuff?" Debate should take a good, hard look at the 'set_final_options()' method of the Install class in distutils/install.py; this is where all the policy decisions about where to install files are made. Currently it apes the Python 1.5 situation as closely as I could figure it out. Obviously, this is subject to change -- I just don't know to *what* it will change! Greg -- Greg Ward - software developer gward(a)cnri.reston.va.us Corporation for National Research Initiatives 1895 Preston White Drive voice: +1-703-620-8990 Reston, Virginia, USA 20191-5434 fax: +1-703-620-0913

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Package versioning
by Timothy Docker April 29, 2018

April 29, 2018

Hi all, I've been aware that the distutils sig has been simmerring away, but until recently it has not been directly relevant to what I do. I like the look of the proposed api, but have one question. Will this support an installed system that has multiple versions of the same package installed simultaneously? If not, then this would seem to be a significant limitation, especially when dependencies between packages are considered. Assuming it does, then how will this be achieved? I am presently managing this with a messy arrangement of symlinks. A package is installed with its version number in it's name, and a separate directory is created for an application with links from the unversioned package name to the versioned one. Then I just set the pythonpath to this directory. A sample of what the directory looks like is shown below. I'm sure there is a better solution that this, and I'm not sure that this would work under windows anyway (does windows have symlinks?). So, has this SIG considered such versioning issues yet? Cheers, Tim -------------------------------------------------------------- Tim Docker timd(a)macquarie.com.au Quantative Applications Division Macquarie Bank -------------------------------------------------------------- qad16:qad $ ls -l lib/python/ total 110 drwxr-xr-x 2 mts mts 512 Nov 11 11:23 1.1 -r--r----- 1 root mts 45172 Sep 1 1998 cdrmodule_0_7_1.so drwxr-xr-x 2 mts mts 512 Sep 1 1998 chart_1_1 drwxr-xr-x 3 mts mts 512 Sep 1 1998 Fnorb_0_7_1 dr-xr-x--- 3 mts mts 512 Nov 11 11:21 Fnorb_0_8 drwxr-xr-x 3 mts mts 1536 Mar 3 12:45 mts_1_1 dr-xr-x--- 7 mts mts 512 Nov 11 11:22 OpenGL_1_5_1 dr-xr-x--- 2 mts mts 1024 Nov 11 11:23 PIL_0_3 drwxr-xr-x 3 mts mts 512 Sep 1 1998 Pmw_0_7 dr-xr-x--- 2 mts mts 512 Nov 11 11:21 v3d_1_1 qad16:qad $ ls -l lib/python/1.1 total 30 lrwxrwxrwx 1 root other 29 Apr 10 10:43 _glumodule.so -> ../OpenGL_1_5_1/_glumodule.so lrwxrwxrwx 1 root other 30 Apr 10 10:43 _glutmodule.so -> ../OpenGL_1_5_1/_glutmodule.so lrwxrwxrwx 1 root other 22 Apr 10 10:43 _imaging.so -> ../PIL_0_3/_imaging.so lrwxrwxrwx 1 root other 36 Apr 10 10:43 _opengl_nummodule.so -> ../OpenGL_1_5_1/_opengl_nummodule.so lrwxrwxrwx 1 root other 27 Apr 10 10:43 _tkinter.so -> ../OpenGL_1_5_1/_tkinter.so lrwxrwxrwx 1 mts mts 21 Apr 10 10:43 cdrmodule.so -> ../cdrmodule_0_7_1.so lrwxrwxrwx 1 mts mts 12 Apr 10 10:43 chart -> ../chart_1_1 lrwxrwxrwx 1 root other 12 Apr 10 10:43 Fnorb -> ../Fnorb_0_8 lrwxrwxrwx 1 mts mts 12 Apr 10 10:43 mts -> ../mts_1_1 lrwxrwxrwx 1 root other 15 Apr 10 10:43 OpenGL -> ../OpenGL_1_5_1 lrwxrwxrwx 1 root other 33 Apr 10 10:43 opengltrmodule.so -> ../OpenGL_1_5_1/opengltrmodule.so lrwxrwxrwx 1 root other 33 Apr 10 10:43 openglutil_num.so -> ../OpenGL_1_5_1/openglutil_num.so lrwxrwxrwx 1 root other 10 Apr 10 10:43 PIL -> ../PIL_0_3 lrwxrwxrwx 1 mts mts 10 Apr 10 10:43 Pmw -> ../Pmw_0_7 lrwxrwxrwx 1 root other 10 Apr 10 10:43 v3d -> ../v3d_1_1

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[Distutils-sig] distutils charter and interscript
by John Skaller April 29, 2018

April 29, 2018

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Versioned trove classifiers for Django
by James Bennett April 6, 2017

April 6, 2017

Following up on some IRC discussion with other folks: There is precedent (Plone) for PyPI trove classifiers corresponding to particular versions of a framework. So I'd like to get feedback on the idea of expanding that, particularly in the case of Django. The rationale here is that the ecosystem of Django-related packages is quite large, but -- as I know all too well from a project I'm working on literally at this moment -- it can be difficult to ensure that all of one's dependencies are compatible with the version of Django one happens to be using. Adding trove classifier support at the level of individual versions of Django would, I think, greatly simplify this: tools could easily analyze which packages are compatible with an end user's chosen version, there'd be far less manual guesswork, etc., and the rate of creation of new classifiers would be relatively low (we tend to have one X.Y release/year or thereabouts, and that's the level of granularity needed). Assuming there's consensus around the idea of doing this, what would be the correct procedure for getting such classifiers set up and maintained?

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Trove classifiers for MicroPython?
by Radomir Dopieralski Feb. 13, 2017

Feb. 13, 2017

Hello everyone, I'm not sure this is the right place to write to propose new trove classifiers for PyPi -- if it's not, what would be the right place? If this is it, then please read below. The MicroPython project is quickly growing and becoming more mature, and as that happens, the number of 3rd-party libraries for it grows. Many of those libraries get uploaded to PyPi, as you can check by searching for "micropython". MicroPython has even its own version of "pip", called "upip", that can be used to install those libraries. However, there is as of yet no way to mark that a library is written for that particular flavor of Python, as there are no trove classifiers for it. I would like to propose adding a number of classifiers to amend that situation: For the MicroPython itself: Programming Language :: Python :: Implementation :: MicroPython For the hardware it runs on: Operating System :: Baremetal Environment :: Microcontroller Environment :: Microcontroller :: PyBoard Environment :: Microcontroller :: ESP8266 Environment :: Microcontroller :: Micro:bit Environment :: Microcontroller :: WiPy Environment :: Microcontroller :: LoPy Environment :: Microcontroller :: OpenMV I'm not sure if the latter makes sense, but it would certainly be nice to be able to indicate in a machine-parseable way on which platforms the code works. What do you think? -- Radomir Dopieralski

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Current Python packaging status (from my point of view)
by Nick Coghlan Nov. 9, 2016

Nov. 9, 2016

Hi folks, Prompted by a few posts I read recently about the current state of the Python packaging ecosystem, I figured it made sense to put together an article summarising my own perspective on the current state of things: http://www.curiousefficiency.org/posts/2016/09/python-packaging-ecosystem.h… It's pretty long, so the short version tailored specifically for the distutils-sig audience would be: * restating the point that pip & conda solve different problems, so while there's some overlap in their core capabilities, neither is a substitute for the other * we've actually managed to put some pretty hard problems behind us in the last few years, so my thanks to everyone that's played a part in that process * some of the thorniest problems that still remain really do require proper funding of the core ecosystem infrastructure (most notably PyPI), which means that either commercial redistributors need to step up and handle the problem on behalf of their customers, or else the PSF needs to figure out alternative sources of funding (with "let's do both!" really being my preferred outcome on that front) Cheers, Nick. P.S. For the Twitter users amongst you, feel free to pass along my link to the article: https://twitter.com/ncoghlan_dev/status/777087670837088256 -- Nick Coghlan | ncoghlan(a)gmail.com | Brisbane, Australia

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Re: [Distutils] Trove classifiers for MicroPython?
by Radomir Dopieralski Oct. 30, 2016

Oct. 30, 2016

I'm sorry for a delay, but I'm not subscribed to this list, and I didn't receive the reply to my address. Thu Oct 20 10:48:29 EDT 2016, Tres Seaver: >On 10/20/2016 05:43 AM, Radomir Dopieralski wrote: [...] >> For the hardware it runs on: >> >> Operating System :: Baremetal Environment :: Microcontroller >> Environment :: Microcontroller :: PyBoard Environment :: >> Microcontroller :: ESP8266 Environment :: Microcontroller :: >> Micro:bit Environment :: Microcontroller :: WiPy Environment :: >> Microcontroller :: LoPy Environment :: Microcontroller :: OpenMV >> >> I'm not sure if the latter makes sense, but it would certainly be nice >> to be able to indicate in a machine-parseable way on which platforms >> the code works. > >Are there actual binary wheels being uploaded which compiled for specific >boards? Or is it that the packages depend at runtime on board-specific >features? There is no wheel format for the MicroPython, at this moment. It is possible to bytecode-compile modules into .mpy files, but those are compatible across all platforms, as far as I can tell (but not across all versions). On the other hand, the platforms themselves are not always perfectly compatible, even though there is an ongoing effort to bring them closer together, and to make most libraries work on all of the platforms without modifications. The Micro:bit platform is a kind of an outlier, since its default libraries are considerably different from those on other platforms (presumably to make them it easier to teach) -- which means that practically all hardware-related libraries need a separate micro:bit version. The PyBoard platfrom has as "pyb" module, retained for backwards compatibility, that is specific to it, side by side by the more general "machine" module, that is present on all platforms (except for the micro:bit) and which should work the same everywhere. In addition, different boards have different capabilities. The WiPy and ESP8266 boards have on-board WiFi and networking libraries, the PyBoard and micro:bit have an accelerometer, the WiPy lacks support for floating point numbers, etc. -- Radomir Dopieralski

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installing bagit-python from the Library of Congress GitHub
by Benjamin Houtman Oct. 30, 2016

Oct. 30, 2016

Hello, I'm trying to install bagit-python from the LoC Github https://github.com/ LibraryOfCongress/bagit-python I have Windows 10 and I downloaded Python 2.7.12 and the most recent iteration of bag-it. According to the README file I should be able to type in "pip install bagit" to install bagit globally, but instead I get "SyntaxEror: invalid syntax." It's my understanding that pip is automatically part of 2.7.12. There are no instructions as to what to do if this happens. I should be able to get to something called bagit.py, but it's unclear what that means as I can't get any further. If you could let me know what I can do it would be much appreciated. I'm pretty new to this. Best, Ben

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