Mailman 3 May 2017 - pypy-dev

About gurobipy
by Luis José Novoa May 31, 2018

May 31, 2018

Hi All, My name is Luis Novoa. Im working on a large scale optimization problem using python/gurobipy for my implementation. I was wondering if any of you in this list has used gurobipy with pypy, or if it is even possible at this time. Thanks in advance, Luis.

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PhD Positions in programming language runtimes (Python)
by David Bremner May 2, 2018

May 2, 2018

1 Position I: Python on OMR =========================== The candidate will explore the benefits and challenges of using OMR [1] components (e.g. JIT, GC) in Python [2,3] runtimes. This may involve extending OMR in novel ways to better support Python, or vice-versa. If questions like how to balance fast startup time for scripting applications against good performance for compute-intensive workloads sound interesting, this might an opportunity for you. 2 Position II: Python and PGAS ============================== The candidate will implement support for parallel programming with Python, using the PGAS [4] (parallel global address space) model. The PGAS model can significantly simplify the implementation of parallel algorithms on distributed and shared memory computers. Challenges include enabling parallelism while dealing with Python's Global Interpreter Lock (GIL), and implementing distributed garbage collection efficiently. 3 Qualifications ================ Normally applicants to the Computer Science PhD program at UNB require a Master's degree in computer science or a closely related area. This project will require substantial hands-on and experimental work, and being comfortable with Python and C++. Familiarity with Linux and Open Source Software development would be a plus. For position I, exposure to programming language concepts like GC, JIT, and bytecode would be helpful. For position II, experience with parallel programming frameworks and/or languages such as MPI, OpenMP, X10 is an asset. 4 Environment ============= This project is supported by the IBM Centre for Advanced Studies (Atlantic) at the University of New Brunswick [5]. We have a lively group of students, postdocs, and research assistants working on related problems. Students work closely with both UNB researchers and technical experts from IBM, gaining valuable perspective and experience. 5 Support ========= These positions are "fully funded"; the exact funding package is subject to finalization but will be consistent with other fully funded students in Computer Science at UNB. You can find some information about expenses on the UNB web site [6]. 6 Contact ========= Send your resumé and unofficial transcripts by email to Stephen MacKay <smackay3(a)unb.ca> Please specify which position(s) you are interested in. [1]: [http://www.eclipse.org/omr/] [2]: [http://www.python.org] [3]: [http://www.pypy.org] [4]: [http://www.pgas.org/] [5]: [http://www.unb.ca/research/casatlantic/] [6]: [http://www.unb.ca/fredericton/studentservices/international/new_internation…]

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Suggestion : Build Using PyPy page to showcase.
by Phyo Arkar June 30, 2017

June 30, 2017

We had launched our chat-room for medical consultation , in our country. It is reaching 5000 users in first month and growing fast with 400 concurrent user max , daily. We need a page to showcase projects running 100% on pypy runtime! Regards Phyo.

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Integer division
by Tuom Larsen June 1, 2017

June 1, 2017

Dear list! I noticed that integer division (`//`) is slower than floating-point division and integer cast. For example: from __future__ import division from time import time t = time() for i in range(1, 10000): for j in range(1, 10000): # k = i//j # 2.12 seconds k = int(i/j) # 0.98 seconds print time() - t I now integer division should be slower, but I thought that the `int()` would make floating division even slower. Please, can someone explain what is going on? Is this expected behaviour? Thank you!

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round
by Tuom Larsen May 26, 2017

May 26, 2017

Dear list! I noticed that `round` seem to run very slow. Is this a known issue or should I file an bug report? Or am I missing something? from timeit import timeit print timeit('int(sqrt(123.456)+0.5)', 'from math import sqrt') print timeit('int(round(sqrt(123.456)))', 'from math import sqrt') prints: 0.00339508056641 1.18832707405 Thanks!

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Re: [pypy-dev] [Python-ideas] Exposing CPython's subinterpreter C-API in the stdlib.
by Nathaniel Smith May 25, 2017

May 25, 2017

CC'ing PyPy-dev... On Wed, May 24, 2017 at 6:01 PM, Eric Snow <ericsnowcurrently(a)gmail.com> wrote: > Although I haven't been able to achieve the pace that I originally > wanted, I have been able to work on my multi-core Python idea > little-by-little. Most notably, some of the blockers have been > resolved at the recent PyCon sprints and I'm ready to move onto the > next step: exposing multiple interpreters via a stdlib module. > > Initially I just want to expose basic support via 3 successive > changes. Below I've listed the corresponding (chained) PRs, along > with what they add. Note that the 2 proposed modules take some cues > from the threading module, but don't try to be any sort of > replacement. Threading and subinterpreters are two different features > that are used together rather than as alternatives to one another. > > At the very least I'd like to move forward with the _interpreters > module sooner rather than later. Doing so will facilitate more > extensive testing of subinterpreters, in preparation for further use > of them in the multi-core Python project. We can iterate from there, > but I'd at least like to get the basic functionality landed early. > Any objections to (or feedback about) the low-level _interpreters > module as described? Likewise for the high-level interpreters module? > > Discussion on any expanded functionality for the modules or on the > broader topic of the multi-core project are both welcome, but please > start other threads for those topics. > > -eric > > > basic low-level API: https://github.com/python/cpython/pull/1748 > > _interpreters.create() -> id > _interpreters.destroy(id) > _interpreters.run_string(id, code) > _interpreters.run_string_unrestricted(id, code, ns=None) -> ns > > extra low-level API: https://github.com/python/cpython/pull/1802 > > _interpreters.enumerate() -> [id, ...] > _interpreters.get_current() -> id > _interpreters.get_main() -> id > _interpreters.is_running(id) -> bool > > basic high-level API: https://github.com/python/cpython/pull/1803 > > interpreters.enumerate() -> [Interpreter, ...] > interpreters.get_current() -> Interpreter > interpreters.get_main() -> Interpreter > interpreters.create() -> Interpreter > interpreters.Interpreter(id) > interpreters.Interpreter.is_running() > interpreters.Interpreter.destroy() > interpreters.Interpreter.run(code) > _______________________________________________ > Python-ideas mailing list > Python-ideas(a)python.org > https://mail.python.org/mailman/listinfo/python-ideas > Code of Conduct: http://python.org/psf/codeofconduct/ -- Nathaniel J. Smith -- https://vorpus.org

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Can't compile C extensions on pypy3 aka alternatives for PyModule_GetState
by Giampaolo Rodola' May 14, 2017

May 14, 2017

Hello, I'm the author of psutil and I received 2 bug reports complaining about lack of PyModule_GetState: https://github.com/giampaolo/psutil/issues/853 https://github.com/giampaolo/psutil/issues/1045 There is also a ticket for pypy: https://bitbucket.org/pypy/pypy/issues/2450/cant-import-psutil-on-pypy3-mis… Since it seems this is not going to be fixed any time soon I'm curios: does this mean C extension modules cannot be compiled with pypy3? Are there alternatives to PyModule_GetState() which could be used? Thanks in advance. -- Giampaolo - http://grodola.blogspot.com

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Re: [pypy-dev] win32 buildbot
by Yury V. Zaytsev May 12, 2017

May 12, 2017

Hi Matti, I've just updated the win32 slave, hopefully nightly builds will work. It seems that the instructions you linked are not correct anymore though as the paths <base_dir>\tcltk\* no longer exist. Another note: I'm still building pypy with pypy 2.5.1 (which is probably bad, because new versions are probably a lot faster, and are not getting regular testing on the buildbot) since later versions used to abort with mysterious OOM errors. Have you been able to build pypy on win32 with latest pypy and/or reproduce the errors I'm getting? -- Sincerely yours, Yury V. Zaytsev On Fri, 21 Apr 2017, Matti Picus wrote: > I had to update the zip, the sha256 is now different. Use the one on the link > > http://doc.pypy.org/en/latest/windows.html#abridged-method-for-ojit-builds-… > > > On 21/04/17 16:06, Matti Picus wrote: >> >> Hi. The buildbot seems stuck, could you restart it? >> >> I have updated the external build dependencies, available at >> https://bitbucket.org/pypy/pypy/downloads/local_5.8.zip >> >> Could you also update the buildbot with these? The checksum is >> >> cc375a677aabcb46a50b96f23bdebd0b526cbb02202b85a7148845e2849ffd6d >> >> which I calculated with >> hashlib.sha256(open(r'local_5.8.zip').read()).digesthex() >> >> > > >

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5.7.1+dfsg-1~ppa1~ubuntu16.04 is incomplete
by Armin Rigo May 2, 2017

May 2, 2017

Hi Stefano, We got report that 5.7.1+dfsg-1~ppa1~ubuntu16.04 is incomplete: https://bitbucket.org/pypy/pypy/issues/2550/cpyext_objecth-no-such-file-or-… Thanks ! Armin

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