Distutils-SIG February 2017

distutils-sig@python.org

35 participants
34 discussions

Sample setup.py for Numeric Python
by Greg Ward 29 Apr '18

29 Apr '18

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

4 5

Can now compile simple extensions
by Greg Ward 29 Apr '18

29 Apr '18

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

2 1

Two fixes (at last)
by Greg Ward 29 Apr '18

29 Apr '18

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 29 Apr '18

29 Apr '18

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 29 Apr '18

29 Apr '18

3 2

Versioned trove classifiers for Django
by James Bennett 06 Apr '17

06 Apr '17

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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GSoC 2017 - Plan of Action for dependency resolver
by Pradyun Gedam 05 Mar '17

05 Mar '17

Hello Everyone! Google released the list of accepted organizations for GSoC 2017 and PSF is one of them. I guess this would a good time for me to seek feedback on the approach I'm planning to take for my potential GSoC project. I hope this mailing list is the right place to do so. --- Here's my current plan of action along with reasoning for the choices made: A separate PR will be made for each of these stages. Every stage does depend on the previous ones being completed. 1. Refactor all dependency resolution responsibility in pip into a new, separate module. This would allow any future changes/improvements in the dependency resolution to be added without major changes in the rest of the code-base. As of today, the RequirementSet class within pip seems to be doing a lot of work and dependency resolution is a responsibility that doesn't need to given to it, especially when it's avoidable. 2. Implement dependency information caching. This would allow the resolver to not cause the re-computation of the dependencies of a package, if they have already been computed, speeding up the resolution. 3. Implement a backtracking resolver. A backtracking solver would be appropriate given that we don't have a way to pre-compute the dependencies for *all* the packages or statically determine the dependencies - a SAT solver would not be feasible. 4. (if time permits) Move any dependency resolution code out into a separate library. This would make it possible for other projects (like buildout or a future pip replacement) to reuse the dependency resolver. By making each of the stages separate PRs, incremental improvements would be made so that even if I leave this project midway, there will be some work merged already if someone comes back to this problem later. That said, I don't intend to leave this project midway. I do intend to reuse some of the work done by Robert Collins in PR #2716 on pip's GitHub repository. Stages 2 and 3 are separate because I see them as distinctly different tasks which touch very different portions of the code-base. There's is strong coupling between them though. I'm looking forward to the feedback. :) Regards, Pradyun

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(no subject)
by blah whoops 27 Feb '17

27 Feb '17

hye do u have facebook.py?i hv just downloaded python 2.7..n its seems its unavailable thx nic

1 0

Issue with (latest?) buildout and package name containing underscore
by Lele Gaifax 24 Feb '17

24 Feb '17

Hi all, I have a installation setup of an application of mine that uses zc.buildout (see #1). Today I had to reinstall it on a new machine, using Python 3.6. Executing its bootstrap.py installed latest zc.buildout (2.8.0). All the required packages are pinned to an exact version (see #2), so it surprised me to hit the following error executing the buildout: Version and requirements information containing transaction: [versions] constraint on transaction: 1.4.4 Requirement of SoL==3.37: transaction Requirement of zope.sqlalchemy: transaction Requirement of transaction: zope.interface Requirement of pyramid_tm: transaction>=2.0 While: Installing sol. Error: The requirement ('transaction>=2.0') is not allowed by your [versions] constraint (1.4.4) Investigating the issue, I found that buildout was actually installing “pyramid-tm” (with a dash), not “pyramid_tm” (underscore, the only one present on PyPI, see #3): ... Getting distribution for 'pyramid_tm'. Got pyramid-tm 1.1.1. ... And that of course is the source of the problem: hacking a local copy of the versions.cfg adding the following line: pyramid-tm = 0.12.1 and then adjusting the buildout.cfg to load that local copy fixed the problem. So the question is: what is the real nature of the problem? I downloaded current pyramid_tm sources, and there is no trace of a “pyramid-tm” except in the project's URL: $ git grep pyramid-tm setup.py: url="http://docs.pylonsproject.org/projects/pyramid-tm/en/latest/", but effectively when I dig inside the egg that buildout produced I can find the following: $ grep -r pyramid-tm * EGG-INFO/PKG-INFO:Name: pyramid-tm EGG-INFO/PKG-INFO:Home-page: http://docs.pylonsproject.org/projects/pyramid-tm/en/latest/ The differences since my last install-from-scratch of the application (that worked flawlessly) are basically version 3.6 of Python and version 2.8.0 of zc.buildout. Can anyone shed some light on the problem? By what logic buildout used a different name for that particular package? Thank you in advance, ciao, lele. #1 https://bitbucket.org/lele/solista #2 https://bitbucket.org/lele/sol/raw/master/requirements/versions.cfg #3 https://pypi.python.org/pypi/pyramid_tm -- nickname: Lele Gaifax | Quando vivrò di quello che ho pensato ieri real: Emanuele Gaifas | comincerò ad aver paura di chi mi copia. lele(a)metapensiero.it | -- Fortunato Depero, 1929.

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distlib and wheel metadata
by Vinay Sajip 24 Feb '17

24 Feb '17

> humpty in term uses uses distlib which seems to mishandle wheel> metadata. (For example, it chokes if there's extra distribution meta and > makes it impossible for buildout to install python-dateutil from a wheel.) I looked into the "mishandling". It's that the other tools don't adhere to [the current state of] PEP 426 as closely as distlib does. For example, wheel writes JSON metadata to metadata.json in the .dist-info directory, whereas PEP 426 calls for that data to be in pydist.json. The non-JSON metadata in the wheel (the METADATA file) does not strictly adhere to any of the metadata PEPs 241, 314, 345 or 426 (it has a mixture of incompatible fields). I can change distlib to look for metadata.json, and relax the rules to be more liberal regarding which fields to accept, but adhering to the PEP isn't mishandling things, as I see it. Work on distlib has slowed right down since around the time when PEP 426 was deferred indefinitely, and there seems to be little interest in progressing via metadata or other standardisation - we have to go by what the de facto tools (setuptools, wheel) choose to do. It's not an ideal situation, and incompatibilities can crop up, as you've seen. Regards, Vinay Sajip

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Distutils-SIG February 2017