S X 10.6.7).
>
> Should I open a bug on the pypy tracker?
Yes please !
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2011/5/2 Roger Binns :
> There is no way you could have called a
> function provided by the module if the module itself had been freed.
Are you sure?
from mymodule import func
del sys.modules['mymodule']
func()
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adState_Get() and PyTraceback_here. As
> long as the signature of AddTraceBackHere can remain the same then I don't
> care what the body inside is for pypy.
Yes, we've implemented PyTraceback_here so that it works exactly for this usage.
Can you check whether pypy does the r
ThreadState creation and suppression
- PyInterpreter creation and suppression
- Py_Initialize and Py_Finalize (to embed a python interpreter inside
an application)
- Some trace and Traceback management functions that are not even
documented (but used by Cython :-))
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provide a RPython implementation of
the associative container, I'd be happy to test it.
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py/module/cpyext/pyobject.py; the main functions are
create_ref() and from_ref().
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2011/3/23 Laura Creighton :
> I guess the question is, do we want to refer to 'default' or to 'tip' ?
"tip" refers to the last committed change, and may belongs to any
development branch
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_
ced the rev number with "default":
https://bitbucket.org/pypy/pypy/src/default/pypy/doc/
Another branch name should work equally.
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/rdict.py#cl-712
And probably many more...
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d, and true if it worked. Using cas you
> can build mutexes, shared objects, etc.
In pypy/module/thread/ll_thread.py, allocate_lock() creates a Lock object,
similar to the Python's thread.Lock.
Careful though with threads: most of PyPy's garbage collectors are not
thread-s
bage collectors are
not (yet) thread-safe.
See better explanations about the GIL in CPython:
http://docs.python.org/c-api/init.html#thread-state-and-the-global-interpreter-lock
http://effbot.org/pyfaq/can-t-we-get-rid-of-the-global-interpreter-lock.htm
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i = PyTuple_GetItem(t, 0);
> + PyTuple_GetItem(t, 0);
> + Py_DECREF(t);
> + return PyInt_FromLong(PyInt_AsLong(i));
> + """),
This example is wrong: you don't own the reference to int(42);
after the tuple is r
2011/2/3 Maciej Fijalkowski :
> You should make PyPy print warnings
>> when it encounters mixed-type classes :)
>>
> That's not a bad idea actually. Maybe with something like some -X option?
If we use the warnings module to emit JitWarnings, the option could be
-Wd::JitWarn
rding to a
comment in rffi.py, ensures that the GIL won't be released.
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ch of the regular floating point code
> seems to be slower in PyPy as well.
The standard operations, or the math module?
It seems that every function in the math module releases the GIL.
This may explain some slowness.
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, though.
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ion module for the host Python
(the one which runs the tests).
You should check that the link command finds the correct Python27.lib,
corresponding to your
installation of Python.
btw, are you really running a 64bit Python?
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2011/2/1 Maciej Fijalkowski :
> Anyone feeling like looking into this:
>
> http://speed.pypy.org/changes/?tre=10&rev=41510:77f94f44989a&exe=3&env=tannit
This show benchmarks for pypy *without* JIT.
the pypy-c-jit figures are more positive.
--
t work;
pypy's compilation tools implicitly assume that sizeof(long)==sizeof(void*)
Before running a translation, could you run the tests in pypy/translator/c ?
in the pypy directory, run:
python test_all.py translator/c
I'd like at least the files "test_genc" and "test
nnot
be processed.
I'll try to fix it, in the meantime I suggest you to skip this module:
python translate.py targetpypystandalone --withoutmod-_hashlib
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fter that the translation operation stops and the debugger kicks in.
But these are *warnings*. Which error do you get exactly? do you have
a (red) traceback?
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ll might fail. Since
# there's nothing we can do about such failures and they annoy
# the end users, we suppress the traceback.
try:
self.close()
except:
pass
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sion of pypy are you using, what are you trying to do,
are there some kind of subprocesses, etc etc.
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ion modules, but I don't have the time nor
the interest
to do it currently.
Would you like to do these experiments yourself, and report us the real
status of threads in pypy extensions?
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I function will
grab the GIL for the duration of the call (yes, even Py_INCREF)
cpyext is maybe already thread-safe, only awfully slow...
But this is just a guess, from looking at the source code.
I'd be grateful if you could write a custom module and do some tests
in this area,
with and wit
g like::
./translate.py -Ojit targetpypystandalone.py
--with-external-module=/path/to/my/psycopg2
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Hi,
2010/12/23 Maciej Fijalkowski
> CDLL(None) (or LoadLibrary(None)) is supposed to return to you the
> whole namespace (all loaded libraries). It's unsupported as far as I
> can tell.
It should work by now (on Unix platforms of course).
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ems that all changes are listed, even those who happen to be in another
branch.
Is it possible to filter the list and only display the "default" branch?
Cheers,
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Hi
2010/12/9 Dan Stromberg
> Is there a known problem with pypy's ctypes?
Yes, several of them have already been fixed in trunk, especially
about memory chunks being freed too early.
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o pythonapi.PyString_AsString could be removed in
OpenGL/arrays/strings.py:
def dataPointer(value):
return ctypes.cast(ctypes.c_char_p(value), ctypes.c_void_p).value
I don't know about the other function, though.
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are present, the translation should build the
pyexpat module:
Python 2.5.2 (79656, Nov 29 2010, 21:05:28)
[PyPy 1.4.0] on linux2
>>>> import pyexpat
>>>> pyexpat
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karound such issues?
>
As usual:
import gc
gc.collect()
Calling gc.collect() is indeed a good idea if the code does not explicitly
close the files.
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les with it, someone is debugging now.
> Besides I don't think there are any working (unless someone wrote a
> pure-python one)
>
PyExpat is now a built-in module, implemented in RPython,
and should have reasonable performance.
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ok it over.
I don't know exactly what gdbm is, but it looks very similar to dbm.py
already in pypy:
http://codespeak.net/svn/pypy/trunk/lib_pypy/dbm.py
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t; 1 year
> < 2 years
I will certainly give up before this delay.
At the moment, 1/3 of the files in the test suite pass without error,
they were zero yesterday.
We need volunteers to help us and implement the failing/missing parts!
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de there could be
applied to static code.
Bottom line: if you want to generate efficient C code from python, use (and
improve) Shedskin. If you want python code to run faster, don't translate
anything, and use the PyPy interpreter.
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2010/9/9 Andy :
> Thanks Antonio.
>
> So right now there's no way to run PyPy JIT on Linux 64 bit?
Yes there is!
Armin merged the asmgcc-64 branch yesterday.
You have to use trunk version of PyPy, and build it yourself.
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Django directory, run "pypy setup.py install"
And tell us how it behaves!
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mplates, for example,
except that it's written in Python :-) )
Shedskin on the other hand performs a more direct translation of
Python code (it uses the ast)
Both projects don't have the same goals.
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written in plain full Python,
and it's as fast as a C or RPython implementation.
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ort_callback().
Why are you passing _callable=stream_callback?
It should be enough to pass stream_callback directly as a function argument.
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tform.
Or just skip the test: for what I know, --shared is not really needed
on Unix platforms.
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to make
> them
> useful to JIT most easily?
If efficient python code needs this, I'd better write the loop in C
and explicitly choose the types.
The C code could be inlined in the python script, and compiled on demand.
At least you'll know what you get.
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ndard on unix; moreover, if we install
> pypy in say /opt/pypy1.2, it would be hard to put a binary in /usr/bin without
> hardcoding the path to pypy1.2 somewhere.
Is it possible to just put a symlink, or a small script in /usr/bin?
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h
> FIXME or XXX, so there's not much more to say about that... I'd really
> appreciate anyone who's willing to take a look.
All this looks quite good, except for the second cast - it should be
pbyteorder[0] = rffi.cast(rffi.INT, byteorder)
And I s
atch in your CPython checkout
4. Run make text again with PyPy in your Python path.
5. Voila, the stubs.py file will be updated.
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PyDict_ and PyComplex_ functions are probably the
most easy to implement, and a good way to enter the code of the cpyext
module.
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out, I'd also like to be on autonosy.
>
> me too :-)
What about a mailing list, similar to Python-bugs-list?
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generate a makefile (gen_makefile() in
http://codespeak.net/svn/pypy/trunk/pypy/translator/c/genc.py )
but it is not used in all configurations:
In the same file, see the call to execute_makefile().
-Ojit uses the makefile, though.
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__
__repr__... which are implemented as MultiMethods:
float__Int in intobject.py, for example.
The magic that converts these functions to type methods is in
pypy.objspace.std.register_all()
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ommand line warning D9024 : unrecognized source file
> type
> 'Wang\\pypy-trunk\\pypy\\translator\\c', object file assumed
> [platform:ERROR] cl : Command line warning D9027 : source file
> 'Wang\\pypy-trunk
> \\pypy\\translator\\c' ignored
I sugge
you can access items by their position in the tuple, the index
value must be known at translation time (for type inference to
succeed).
It is very similar to the C++ boost::tuple template class.
Yet another reason why it would be difficult to rewrite the python
standard library in RPython...
ge, even if types are
not explicit in the code, but determined by the translator. For example,
os.open() accepts a string for its first argument, so it cannot accept
unicode.
A RPython library would be quite different from the CPython standard
library.
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m still trying to understand the control flow of this function
(there are 68 jumps...)
and why trackgcroot fails to find the value at the origin of some register.
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function.s
Description: Binary data
___
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ste.pocoo and posted it
> here: http://paste.pocoo.org/show/151706/
> (I've also attached it)
Unfortunately, the file you sent has been truncated (before the point
where it fails)
Can you please run
rm implement_9.s
make implement_9.s
to regenera
gt; Here is the full run log: http://paste.pocoo.org/show/151639/
Unfortunately, the log does not show all compilation output.
Again you should do it manually:
cd /var/folders/S+/S+mQx368HdO8O9qxkcyoQk+++TI/-Tmp-/usession-trunk-0/testing_1
make
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pu).
>
> the pypy-dist version compiles fine ...
>
> and/all guidance would be appreciated
Could you try the compilation step manually:
cd /tmp/usession-trunk-1/testing_1
make
and report the error you see there?
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do you use trunk version, or some release branch?
Recent development is done on trunk...
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romp
> which I exited by typing "exit".
Err... no exception type, no message...
maybe some kind of out-of-memory condition?
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ation:ERROR] File "C:\Dokumente und Einstellungen\Jan
> Wedel\Eigene Dat
> eien\repo\trunk\rialto\tools\pypy-1.1.0\pypy\translator\goal\translate.p
> y", line
> 273, in main
The first warnings are normal, they come from conditional code that
detects the
; What’s happening?
I'm afraid you will need a C compiler to translate pypy: the jvm
backend starts with the C implementation of functions, and ultimately
replaces system calls with java methods.
If you have the mingw32 compiler installed (and in your PATH), you may
try with the --cc=mingw32 opti
x27;
def dump_object(x):
import pickle
pickle.dump(x, open('data.pickle', 'w'))
''', filename =__file__).interphook('dump_object')
then you should be able to call it this way:
dump_object(space, w_instanceObject)
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is could become a translation option, --objspace.std.unicodedb=4.1.0
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differently when one argument is negative:
(-5 % 3) returns -2 in C, but 1 with python.
Now, I don't know whether RPython should absolutely implement python
semantics here.
RPython does not check for overflow for example.
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nerating comtypes.gen.Excel
>>>> xl.Workbooks.Add()
>>>> xl.Range("E1").Formula = "=SUM(A1:D1)"
>>>> print xl.Range("E1").Value
0.0
>>>> xl.Range("A1", "D1").Value = ("Data", 10, 20, 30)
>>>
On Wed, Jan 21, 2009 at 02:42, Vetoshkin Nikita wrote:
> I've got this now: http://pastebin.com/d4f3dfefd
Oh, and did you reset the /MD option? /MT is wrong now.
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execute] mt.exe..."
and which contain the manifest file name
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On Wed, Jan 21, 2009 at 00:12, Vetoshkin Nikita wrote:
> Any ideas about building manifest file to proper msvcrt.dll linking?
I just changed the compilation tools in windows.py to build and embed
this manifest.
Can you try again?
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I am currently trying to to it, borrowing ideas from cpython's code:
http://svn.python.org/view/python/trunk/Lib/distutils/msvc9compiler.py?rev=68081&view=markup
look for "manifest"
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ig = SPLIT_CRITERIA * 4
else:
split_criteria_big = SPLIT_CRITERIA
Old versions of Visual Studio had problems with large files.
Even today, debug information is wrong when lineno>65536.
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s (during the "configure" phase) and /MD (=shared C runtime)
when building the pypy-c executable.
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12Kb is enough (this is the default
value in src/stack.h)
For debug build stacksize=4Mb works on win32.
I don't know the gcc options very well.
What do you think of adding these two:
"-DMAX_STACK_SIZE=%d" % (stacksize - 1024)
"-Wl,--stack,%d" %
Hello Antonio,
> revert r54745, as it breaks translation on linux
You were right to revert the change, but I am still surprised.
What kind of error did you get?
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ody objects, I will add (a slightly modified version of) the
needed files in
translator/c/src/libffi_msvc.
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ctypes/libffi_msvc/ffi.c',
'c:/afa/python/trunk/Modules/_ctypes/libffi_msvc/prep_cif.c',
'c:/afa/python/trunk/Modules/_ctypes/libffi_msvc/win32.c',
],
separate_module_sources = [c_source],
export_symbols = ['ffi_cal
ython/Modules/_ctypes/libffi_msvc directory,
do you have other ideas?
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by one.
I am currently working on the _socket and select modules, with good
progress so far.
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[c_int,c_int],
doc='glutInitWindowPosition( c_int(x), c_int(y) ) -> None',
argNames=('x', 'y'),
)
which is more pypy-friendly.
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same representation and have the same wrapper generated. Of
course I have something like rffi in mind...
I don't think that Swig itself can be used by pypy, I just wanted to
show that automatic wrapping of C++ is possible and can be used by
pypy, without the help of ctypes.
Cheers,
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ntly, for example by quickly compiling an
extension module for each function we need.
It could be useful in some cases when ctypes cannot be used. For
example when the C "function" is actually a macro, or a C++ function.
Should we extend rffi to handle C++?
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ode and byte strings and it makes some part of the
> implementation less messy.
+1. Python3.0 takes the same direction, and RPython is supposed to be
a subset of CPython.
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(dst, src))
dst = src
src, typename = dest2src.pop(dst)
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eds to know the precise sizeof and offsets
of each member.
I tried to modify the _socket module to also use rffi, and had the same problem.
I think that we will need a tool similar to
pypy.rpython.rctypes.tool.ctypes_platform, which generates and
compiles C code to get the different sizes and offsets.
(We
.wrap(msg))
> utime.unwrap_spec = [ObjSpace, str, W_Root]
>
> +def xxx(space):
> +"""xxx() -> pid
> +
> +Stuff
> + """
> +return 3
> +xxx.unwrap_spec = [ObjSpace]
> +
The function seems to return an unwrapped object.
does it behave better if you replace the return value with
something like space.wrap(3) ?
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select.select([readend], [], [], 0)
assert iwtd == owtd == ewtd == []
writeend.send('X')
iwtd, owtd, ewtd = select.select([readend], [], [])
assert iwtd == [readend]
assert owtd == ewtd == []
print "Test OK&quo
e python 2.5 to debug pypy.
(A strange interaction between generator destructors, the sys.settrace
function and the current thread state. www.python.org/sf/1733973 shows
a simple case, filed by the pydev developer)
Python 2.4 seems to work correctly.
Hope this helps,
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eone could add this one, thanks.
>
> -Scott
I have seen the same behaviour, and my diffs are the same.
I just commited them.
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low the results of the
nightly tests.
Of course your comments are most welcome... there were some rough
parts and I am sure I took the wrong way sometimes.
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e: casting pointers looses track
of reference counting).
Anyway, I'll be happy to share my changes, to have another eye on the stuff...
If you agree, I will try to resurrect my work and send you a patch
later tonight.
> I could give a try..
You're welc
res = VirtualAlloc(LPVOID(), map_size, MEM_COMMIT|MEM_RESERVE,
+res = VirtualAlloc(PTR(), map_size, MEM_COMMIT|MEM_RESERVE,
PAGE_EXECUTE_READWRITE)
if not res:
raise MemoryError
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g
translate.py standalone --usemodules=_demo
after I added your code in demo.py)
Unfortunately the complete translation takes too much memory for the
machine I'm currently working on, so I could not test completely.
And since its a Windows box, I had to remove the libc.pipe call completely...
Hope this helps.
It seems that many people are interested in the new rctypes way to
create modules...
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Amaury Forgeot d'Arc
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.interpreter.baseobjspace import ObjSpace
> from ctypes import *
>
> libtcc = CDLL('/u/jiwon/proj/less-bus/libLESS.so')
> myprint0 = libtcc.TCC_Print
> myprint0.argtypes = [c_char_p]
> myprint0.restype = c_int
>
> def tcc_print0(sp
one, [name])
The first call is supposed to be the good one, but if it fails with an
ImportError, you get the error from the second call.
Is the ctypes module correctly installed?
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Amaury Forgeot d'Arc
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