Mailman 3 May 2012 - pypy-dev

Faster PyPy translation (for debugging)
by Timothy Baldridge May 24, 2012

May 24, 2012

I'm working on writing a module for PyPy, the code runs fine via py.py, but I'm still debugging the RTyping errors. What can I do to speed up the translation process. Currently I'm running pypy translate.py --opt=0 targetpypystandalone.py On my machine that takes about 800sec before it starts rtyping my module. Are there some better options I can use if I simply want to make sure that my module will fit into the PyPy typesystem? Thanks, Timothy

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Need your suggestions in thoughts of improving performance of REST based cgi-server
by Sasikanth Eda May 23, 2012

May 23, 2012

Hai All, I have tried to perform performance testing of a typical CGI-server Rest based SNIA CDMI specifications and the results are as follows; Python PyPy 16 KB (Object) PUT 196 ms 325 ms 64 KB (Object) PUT 176 ms 396 ms 1 MB (Object) PUT 248 ms 927 ms Container PUT 121 ms 317 ms where in each scenario python is faster than PyPy. I request your inputs/suggestion techniques towards optimizing such load loads. Kindly share your experiences and feedback in this scenario. -- Thanking you, Sasikanth

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Re: [pypy-dev] Python FFI
by Laura Creighton May 23, 2012

May 23, 2012

>Sounds great to me. Except that Mike Pell (LuaJit's author) hasn't >been cc'd on this note. And so what I would like to know before Ooops, it's Mike Pall. No disrespect intended (and indeed I spelt the name correctly the second time it was used in my reply). That was a typo. I apologise. Laura

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New buildslave
by Maciej Fijalkowski May 21, 2012

May 21, 2012

Hi Thanks to the Allegro group and Łukasz Langa, we got a new powerful buildslave. We cannot run benchmarks there, since we have to share the machine with cPython buildbots, however, we can run all other stuff which should take some load off tannit. I did not set it up yet in buildmaster since I'm pondering about locks and how to do it now. Feel free to comment. The server admin is Lukasz, to complain or praise write to - lukasz.langa(a)allegro.pl Cheers, fijal

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(Web Position / Analysis)
by Liz Freudberg May 18, 2012

May 18, 2012

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PyPy proved slower than Python when used os.rename and os.link [ Suggest how to get rid of this ]
by Sasikanth Eda May 18, 2012

May 18, 2012

Hai All, In trails of finding the execution time lapse between Python and PyPy , its proved that PyPy is slower than Python. Here are the trials done ; *Step-1: Written a Python code that uses repeated os.rename()* * * *code: (file name : rename.py)* * #!/usr/bin/env python* * * * import os* * import sys* * * * os.chdir("/opt/pypy-1.8/bin")* * print "Rename count -1 (a1 -> a2)"* * os.rename("a1","a2")* * print "Rename count -2 (a2 -> a3)"* * os.rename("a2","a3")* * print "Rename count -3 (a3 -> a4)"* * os.rename("a3","a4")* * print "Rename count -4 (a4 -> a5)"* * os.rename("a4","a5")* * print "Rename count -5 (a5 -> a6)"* * os.rename("a5","a6")* * print "Rename count -6 (a6 -> a7)"* * os.rename("a6","a7")* * print "Rename count -7 (a7 -> a8)"* * os.rename("a7","a8")* * print "Rename count -8 (a8 -> a9)"* * os.rename("a8","a9")* * print "Rename count -9 (a9 -> a0)"* * os.rename("a9","a0")* * print "Rename count -10 (a0 -> B0)"* * os.rename("a0","B0")* * * *Step-2: Observed Execution time with Python 2.7* * * * [root@Manojkiran bin]# time python rename.py * * Rename count -1 (a1 -> a2)* * Rename count -2 (a2 -> a3)* * Rename count -3 (a3 -> a4)* * Rename count -4 (a4 -> a5)* * Rename count -5 (a5 -> a6)* * Rename count -6 (a6 -> a7)* * Rename count -7 (a7 -> a8)* * Rename count -8 (a8 -> a9)* * Rename count -9 (a9 -> a0)* * Rename count -10 (a0 -> B0)* * * * real 0m0.031s* * user 0m0.021s* * sys 0m0.010s* Step-3:* Observed Execution time with PyPy 1.8* * * [root@Manojkiran bin]# time ./pypy rename.py * ./pypy: /usr/local/ssl/lib/libssl.so.0.9.8: no version information available (required by ./pypy)* * ./pypy: /usr/local/ssl/lib/libcrypto.so.0.9.8: no version information available (required by ./pypy)* * Rename count -1 (a1 -> a2)* * Rename count -2 (a2 -> a3)* * Rename count -3 (a3 -> a4)* * Rename count -4 (a4 -> a5)* * Rename count -5 (a5 -> a6)* * Rename count -6 (a6 -> a7)* * Rename count -7 (a7 -> a8)* * Rename count -8 (a8 -> a9)* * Rename count -9 (a9 -> a0)* * Rename count -10 (a0 -> B0)* real 0m0.054s user 0m0.036s sys 0m0.016s * * *Step-4: Written a Python code that uses repeated os.link()* * * *code: (file name : link.py)* * #!/usr/bin/env python* * * * import os* * import sys* * * * os.link("/opt/pypy-1.8/bin/l0","/opt/pypy-1.8/bin/test/l0")* * print "Linked count -1 (l0 -> lo)"* * os.link("/opt/pypy-1.8/bin/l0","/opt/pypy-1.8/bin/test/l1")* * print "Linked count -2 (l0 -> l1)"* * os.link("/opt/pypy-1.8/bin/l0","/opt/pypy-1.8/bin/test/l2")* * print "Linked count -3 (l0 -> l2)"* * os.link("/opt/pypy-1.8/bin/l0","/opt/pypy-1.8/bin/test/l3")* * print "Linked count -4 (l0 -> l3)"* * os.link("/opt/pypy-1.8/bin/l0","/opt/pypy-1.8/bin/test/l4")* * print "Linked count -5 (l0 -> l4)"* * os.link("/opt/pypy-1.8/bin/l0","/opt/pypy-1.8/bin/test/l5")* * print "Linked count -6 (l0 -> l5)"* * os.link("/opt/pypy-1.8/bin/l0","/opt/pypy-1.8/bin/test/l6")* * print "Linked count -7 (l0 -> l6)"* * os.link("/opt/pypy-1.8/bin/l0","/opt/pypy-1.8/bin/test/l7")* * print "Linked count -8 (l0 -> l7)"* * os.link("/opt/pypy-1.8/bin/l0","/opt/pypy-1.8/bin/test/l8")* * print "Linked count -9 (l0 -> l8)"* * os.link("/opt/pypy-1.8/bin/l0","/opt/pypy-1.8/bin/test/l9")* * print "Linked count -10 (l0 -> l9)"* *Step-5: Observed Execution time with Python 2.7* * * * [root@Manojkiran bin]# time python link.py * * Linked count -1 (l0 -> l0)* * **Linked** count -2 (l0 -> l1)* * **Linked** count -3 (l0 -> l2)* * **Linked** count -4 (l0 -> l3)* * **Linked** count -5 (l0 -> l4)* * **Linked** count -6 (l0 -> l5)* * **Linked** count -7 (l0 -> l6)* * **Linked** count -8 (l0 -> l7)* * **Linked** count -9 (l0 -> l8)* * **Linked** count -10 (l0 -> l9)* * * * real 0m0.028s* * user 0m0.020s* * sys 0m0.008s* Step-6:* Observed Execution time with PyPy 1.8* * * [root@Manojkiran bin]# time ./pypy link.py * ./pypy: /usr/local/ssl/lib/libssl.so.0.9.8: no version information available (required by ./pypy)* * ./pypy: /usr/local/ssl/lib/libcrypto.so.0.9.8: no version information available (required by ./pypy)* * Linked count -1 (l0 -> l0)* * **Linked** count -2 (l0 -> l1)* * **Linked** count -3 (l0 -> l2)* * **Linked** count -4 (l0 -> l3)* * **Linked** count -5 (l0 -> l4)* * **Linked** count -6 (l0 -> l5)* * **Linked** count -7 (l0 -> l6)* * **Linked** count -8 (l0 -> l7)* * **Linked** count -9 (l0 -> l8)* * **Linked** count -10 (l0 -> l9)* * * real 0m0.056s user 0m0.032s sys 0m0.023s Hence in my understanding Python is better in terms of execution time when compared with PyPy. Kindly suggest me if my trails are proper and why PyPy failed to achieve better speed then PyPy ? Is this a know issue or whether we have any fix for this ? Thanking you, -- Sasikanth

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by Needham, Fanny May 17, 2012

May 17, 2012

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Python FFI
by Armin Rigo May 16, 2012

May 16, 2012

Hi all, Fijal and me would like to raise interest among various groups of people about building a better ctypes replacement for Python. The general background first, at least as far as we know it. People generally agree that CPython extension modules are not extremely hard to write, but also not the ultimate solution in the matter of interfacing with C code. Obviously you need to know and write C code, and learn the large CPython C API. Moreover a CPython extension module is rather specific to CPython or even a particular version of it. Even if you are lucky and your CPython extensions work on all 2.x versions, it won't work unmodified on Python 3.x, and be slow (or not work at all) on PyPy. (I'm leaving Jython and IronPython out of the picture here but it's very far from ideal for them too.) The working alternatives nowadays are Cython and ctypes. For Cython you have to learn a whole new language; we can argue infinitely about preferences, but from my point of view it's mostly just a nicer way to write CPython C extensions using --- instead of C --- a custom language. About ctypes, I would say that the fact that its use remains marginal is enough to show that its mission kind of failed. Its problems are more than one, but most importantly the level at which you describe the information is slightly too low - it's ABI-level instead of API-level. It does not make a difference for some libraries, but for some it does make a huge difference, like when you use macros. We would like something that can be potentially used to wrap almost all C libraries. So we would like to propose something (a bit more publically than the two subprojects of PyPy attempting to do that --- did you know about their existence?). The goal would be to come up with a better-designed project. "Better designed" in my vocabulary implies "simpler". I'm starting in this mailing list but the idea is to try to move it in its own project, and to develop at the same time at least a CPython 2.7 and 3.x and PyPy implementation. The simplest FFI we know of for a high-level language is LuaJIT's FFI. If you are interested, read the four pages starting at http://luajit.org/ext_ffi.html . A crucial design decision was to avoid making use of tons of objects representing the C types; instead, the user mostly specifies C types as plain strings, simplifying the basic API a lot. So we would like to propose some design very similar to that one. The basic public API looks more or less fine to me. There are of course preferences and topics to discuss, but let's leave that for later. Most importantly, we would welcome a system where the C declarations can be parsed either internally or (for more complicated cases) externally, with the help of a real C compiler. This might include cases like macros, where the user would need to write (as C code) a small function calling the macro, and have it compiled when he imports his Python module. Also, because it would parse strings, we can also add support for parsing strings in the format of Cython declarations. This would still lower the entry barrier, and have the nice effect that the user can sometimes copy-and-paste Cython declarations, instead of copy-and-pasting carefully chosen pieces of a potentially messy .h file full of custom macros (see for example /usr/include/zlib.h). The benefit would be that, unlike Cython, he gets to call the declared functions directly from his regular Python code. Opinions? Interests? This mail is deliberately low on details about how we think we can do it. Instead I'm seeking general reactions for now and would like to move this soon to its own project, independent of PyPy. A bientôt, Armin.

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Documenting merged branches
by Antonio Cuni May 15, 2012

May 15, 2012

Hi all, the most laborious part of doing a new release is writing the "What's new" document. Together with Armin and Maciek, we tried to find a way to make it easier and less time consuming. The idea is that whenever someone merges a branch to default, he should also briefly document what it does by writing a couple of lines in doc/whatsnew-1.9.rst. I also added a test (doc/test/test_whatsnew.py) which checks that all the merged branches are mentioned in the document. To document a branch, you have to include a special rst comment ".. branch: BRANCH-NAME" which is recognized by the test. If the branch is uninteresting for the what's new document, one can just add the comment somewhere in the doc without writing anything. At the moment the test is passing because I added empty docs for all the branches merged so far. It would be nice if everyone could have a look at it and document the branches he merged. ciao, Anto

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May 12, 2012

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