Mailman 3 August 2006 - NumPy-Discussion

Re: [Numpy-discussion] Numpy-discussion Digest, Vol 3, Issue 61
by Paul Midgley Aug. 24, 2006

Aug. 24, 2006

Thanks for your help

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possible bug in C-API
by Sebastian Haase Aug. 24, 2006

Aug. 24, 2006

Hi, I noticed in numpy/numarray/_capi.c: NA_NewAllFromBuffer() a) the original numarray function could create arrays of any (ndim) shape, while PyArray_FromBuffer() looks to me that the returned array is always 1D. b) in the code part <selected lines from code> npy_intp size = dtype->elsize; for ... size *= self->dimensions[i]; PyArray_FromBuffer(bufferObject, dtype, size, byteoffset); </selected lines from code> Is "size" here a muplitple of the itemsize !? I think I got a crashed (my code) that I fixed when I set size to (the equivalent of) N.prod(array.shape) Cheers, Sebastian Haase

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(no subject)
by kortmann＠ideaworks.com Aug. 24, 2006

Aug. 24, 2006

>On Thursday 24 August 2006 09:50, kortmann(a)ideaworks.com wrote: >> Sorry for my ignorance, but I have not ever heard of or used mingw32. I >> am also using python 2.3. >http://en.wikipedia.org/wiki/Mingw explains in detail. >> >> Is there any way someone could possibly send me a brief walk through of >> how to install 1.0b3 on windows32? >do you know about the ("awesome" wiki website at scipy.org) >try your luck at >http://www.scipy.org/Build_for_Windows >> >> Also I am not sure that I know how to manipulate the code that you guys >> said that you have to so that it will work so if that is needed could you >> post a walk through of that also? >> >To my knowledge there is no need to "manipulate code" .... >Maybe you should try getting per-build versions first. >Sebastian Haase Thank you for all of that. I followed the directions carefully. created a numpy folder, checked out the svn via http://svn.scipy.org/svn/numpy/trunk changed to the numpy directory and typed python setup.py config --compiler=mingw32 build --compiler=mingw32 install and then reinstalled sci py because it says to install sci py after numpy. And then I recieved this after trying to run my program. Any Ideas anyone? $HOME=C:\Documents and Settings\Administrator CONFIGDIR=C:\Documents and Settings\Administrator\.matplotlib loaded ttfcache file C:\Documents and Settings\Administrator\.matplotlib\ttffont .cache matplotlib data path c:\python23\lib\site-packages\matplotlib\mpl-data backend WXAgg version 2.6.3.2 Overwriting info=<function info at 0x01FAF3F0> from scipy.misc.helpmod (was <fun ction info at 0x01F896F0> from numpy.lib.utils) Overwriting who=<function who at 0x01FA46B0> from scipy.misc.common (was <functi on who at 0x01F895F0> from numpy.lib.utils) Overwriting source=<function source at 0x01FB2530> from scipy.misc.helpmod (was <function source at 0x01F89730> from numpy.lib.utils) RuntimeError: module compiled against version 1000000 of C-API but this version of numpy is 1000002 Fatal Python error: numpy.core.multiarray failed to import... exiting. abnormal program termination

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should a flatiter object get a 'dtype' attribute ?
by Sebastian Haase Aug. 24, 2006

Aug. 24, 2006

Hi, I suppose the answer is no . But converting more code to numpy I got this error AttributeError: 'numpy.flatiter' object has no attribute 'dtype' (I found that I did not need the .flat in the first place ) So I was just wondering if (or how much) a flatiter object should behave like an ndarray ? Also this is an opportunity to have some talk about the relative newcomer "flatiter generator objects" ... Thanks, - Sebastian Haase

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numpy revision 3056 will not build on RHE3 or Solaris
by Christopher Hanley Aug. 24, 2006

Aug. 24, 2006

Good Morning, Numpy revision 3056 will not build on either Red Hat Enterprise 3 or Solaris 8. The relevant syntax errors are below: For RHE3: --------- creating build/temp.linux-i686-2.4 creating build/temp.linux-i686-2.4/numpy creating build/temp.linux-i686-2.4/numpy/core creating build/temp.linux-i686-2.4/numpy/core/src compile options: '-Ibuild/src.linux-i686-2.4/numpy/core/src -Inumpy/core/include -Ibuild/src.linux-i686-2.4/numpy/core -Inumpy/core/src -Inumpy/core/include -I/usr/stsci/pyssgdev/Python-2.4.2/include/python2.4 -c' gcc: numpy/core/src/multiarraymodule.c In file included from numpy/core/include/numpy/arrayobject.h:19, from numpy/core/src/multiarraymodule.c:25: numpy/core/include/numpy/npy_interrupt.h:95: syntax error before "_NPY_SIGINT_BUF" numpy/core/include/numpy/npy_interrupt.h:95: warning: type defaults to `int' in declaration of `_NPY_SIGINT_BUF' numpy/core/include/numpy/npy_interrupt.h:95: warning: data definition has no type or storage class numpy/core/include/numpy/npy_interrupt.h: In function `_npy_sighandler': numpy/core/include/numpy/npy_interrupt.h:100: `SIG_IGN' undeclared (first use in this function) numpy/core/include/numpy/npy_interrupt.h:100: (Each undeclared identifier is reported only once numpy/core/include/numpy/npy_interrupt.h:100: for each function it appears in.) numpy/core/include/numpy/npy_interrupt.h:101: warning: implicit declaration of function `longjmp' numpy/core/src/multiarraymodule.c: In function `test_interrupt': numpy/core/src/multiarraymodule.c:6441: `SIGINT' undeclared (first use in this function) numpy/core/src/multiarraymodule.c:6441: warning: implicit declaration of function `setjmp' In file included from numpy/core/include/numpy/arrayobject.h:19, from numpy/core/src/multiarraymodule.c:25: numpy/core/include/numpy/npy_interrupt.h:95: syntax error before "_NPY_SIGINT_BUF" numpy/core/include/numpy/npy_interrupt.h:95: warning: type defaults to `int' in declaration of `_NPY_SIGINT_BUF' numpy/core/include/numpy/npy_interrupt.h:95: warning: data definition has no type or storage class numpy/core/include/numpy/npy_interrupt.h: In function `_npy_sighandler': numpy/core/include/numpy/npy_interrupt.h:100: `SIG_IGN' undeclared (first use in this function) numpy/core/include/numpy/npy_interrupt.h:100: (Each undeclared identifier is reported only once numpy/core/include/numpy/npy_interrupt.h:100: for each function it appears in.) numpy/core/include/numpy/npy_interrupt.h:101: warning: implicit declaration of function `longjmp' numpy/core/src/multiarraymodule.c: In function `test_interrupt': numpy/core/src/multiarraymodule.c:6441: `SIGINT' undeclared (first use in this function) numpy/core/src/multiarraymodule.c:6441: warning: implicit declaration of function `setjmp' error: Command "gcc -fno-strict-aliasing -DNDEBUG -g -O3 -Wall -Wstrict-prototypes -fPIC -Ibuild/src.linux-i686-2.4/numpy/core/src -Inumpy/core/include -Ibuild/src.linux-i686-2.4/numpy/core -Inumpy/core/src -Inumpy/core/include -I/usr/stsci/pyssgdev/Python-2.4.2/include/python2.4 -c numpy/core/src/multiarraymodule.c -o build/temp.linux-i686-2.4/numpy/core/src/multiarraymodule.o" failed with exit status 1 For Solaris 8: -------------- creating build/temp.solaris-2.8-sun4u-2.4 creating build/temp.solaris-2.8-sun4u-2.4/numpy creating build/temp.solaris-2.8-sun4u-2.4/numpy/core creating build/temp.solaris-2.8-sun4u-2.4/numpy/core/src compile options: '-Ibuild/src.solaris-2.8-sun4u-2.4/numpy/core/src -Inumpy/core/include -Ibuild/src.solaris-2.8-sun4u-2.4/numpy/core -Inumpy/core/src -Inumpy/core/include -I/usr/ra/pyssg/Python-2.4.2/include/python2.4 -c' cc: numpy/core/src/multiarraymodule.c "numpy/core/include/numpy/npy_interrupt.h", line 95: warning: old-style declaration or incorrect type for: jmp_buf "numpy/core/include/numpy/npy_interrupt.h", line 95: syntax error before or at: _NPY_SIGINT_BUF "numpy/core/include/numpy/npy_interrupt.h", line 95: warning: old-style declaration or incorrect type for: _NPY_SIGINT_BUF "numpy/core/include/numpy/npy_interrupt.h", line 100: undefined symbol: SIG_IGN "numpy/core/include/numpy/npy_interrupt.h", line 100: warning: improper pointer/integer combination: arg #2 "numpy/core/src/scalartypes.inc.src", line 70: warning: statement not reached "numpy/core/src/arraytypes.inc.src", line 1045: warning: pointer to void or function used in arithmetic "numpy/core/src/arraytypes.inc.src", line 1045: warning: pointer to void or function used in arithmetic "numpy/core/src/arraytypes.inc.src", line 1045: warning: pointer to void or function used in arithmetic "numpy/core/src/arrayobject.c", line 4338: warning: assignment type mismatch: pointer to function(pointer to void, pointer to void, int, int) returning int "=" pointer to void "numpy/core/src/arrayobject.c", line 4444: warning: argument #4 is incompatible with prototype: prototype: pointer to void : "numpy/core/src/arrayobject.c", line 4326 argument : pointer to function(pointer to unsigned long, pointer to unsigned long, int, int) returning int "numpy/core/src/arrayobject.c", line 4448: warning: argument #4 is incompatible with prototype: prototype: pointer to void : "numpy/core/src/arrayobject.c", line 4326 argument : pointer to function(pointer to char, pointer to char, int, int) returning int "numpy/core/src/arrayobject.c", line 5313: warning: assignment type mismatch: pointer to function(pointer to struct PyArrayObject {int ob_refcnt, pointer to struct _typeobject {..} ob_type, pointer to char data, int nd, pointer to int dimensions, pointer to int strides, pointer to struct _object {..} base, pointer to struct {..} descr, int flags, pointer to struct _object {..} weakreflist}, pointer to struct _object {int ob_refcnt, pointer to struct _typeobject {..} ob_type}) returning int "=" pointer to void "numpy/core/src/arrayobject.c", line 7280: warning: assignment type mismatch: pointer to function(pointer to void, pointer to void, int, pointer to void, pointer to void) returning void "=" pointer to void "numpy/core/src/multiarraymodule.c", line 6441: undefined symbol: SIGINT cc: acomp failed for numpy/core/src/multiarraymodule.c "numpy/core/include/numpy/npy_interrupt.h", line 95: warning: old-style declaration or incorrect type for: jmp_buf "numpy/core/include/numpy/npy_interrupt.h", line 95: syntax error before or at: _NPY_SIGINT_BUF "numpy/core/include/numpy/npy_interrupt.h", line 95: warning: old-style declaration or incorrect type for: _NPY_SIGINT_BUF "numpy/core/include/numpy/npy_interrupt.h", line 100: undefined symbol: SIG_IGN "numpy/core/include/numpy/npy_interrupt.h", line 100: warning: improper pointer/integer combination: arg #2 "numpy/core/src/scalartypes.inc.src", line 70: warning: statement not reached "numpy/core/src/arraytypes.inc.src", line 1045: warning: pointer to void or function used in arithmetic "numpy/core/src/arraytypes.inc.src", line 1045: warning: pointer to void or function used in arithmetic "numpy/core/src/arraytypes.inc.src", line 1045: warning: pointer to void or function used in arithmetic "numpy/core/src/arrayobject.c", line 4338: warning: assignment type mismatch: pointer to function(pointer to void, pointer to void, int, int) returning int "=" pointer to void "numpy/core/src/arrayobject.c", line 4444: warning: argument #4 is incompatible with prototype: prototype: pointer to void : "numpy/core/src/arrayobject.c", line 4326 argument : pointer to function(pointer to unsigned long, pointer to unsigned long, int, int) returning int "numpy/core/src/arrayobject.c", line 4448: warning: argument #4 is incompatible with prototype: prototype: pointer to void : "numpy/core/src/arrayobject.c", line 4326 argument : pointer to function(pointer to char, pointer to char, int, int) returning int "numpy/core/src/arrayobject.c", line 5313: warning: assignment type mismatch: pointer to function(pointer to struct PyArrayObject {int ob_refcnt, pointer to struct _typeobject {..} ob_type, pointer to char data, int nd, pointer to int dimensions, pointer to int strides, pointer to struct _object {..} base, pointer to struct {..} descr, int flags, pointer to struct _object {..} weakreflist}, pointer to struct _object {int ob_refcnt, pointer to struct _typeobject {..} ob_type}) returning int "=" pointer to void "numpy/core/src/arrayobject.c", line 7280: warning: assignment type mismatch: pointer to function(pointer to void, pointer to void, int, pointer to void, pointer to void) returning void "=" pointer to void "numpy/core/src/multiarraymodule.c", line 6441: undefined symbol: SIGINT cc: acomp failed for numpy/core/src/multiarraymodule.c error: Command "/opt/SUNWspro-6u2/bin/cc -DNDEBUG -O -Ibuild/src.solaris-2.8-sun4u-2.4/numpy/core/src -Inumpy/core/include -Ibuild/src.solaris-2.8-sun4u-2.4/numpy/core -Inumpy/core/src -Inumpy/core/include -I/usr/ra/pyssg/Python-2.4.2/include/python2.4 -c numpy/core/src/multiarraymodule.c -o build/temp.solaris-2.8-sun4u-2.4/numpy/core/src/multiarraymodule.o" failed with exit status 2 Chris

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Re: [Numpy-discussion] numpy-1.0b3 under windows
by kortmann＠ideaworks.com Aug. 24, 2006

Aug. 24, 2006

Sorry for my ignorance, but I have not ever heard of or used mingw32. I am also using python 2.3. Is there any way someone could possibly send me a brief walk through of how to install 1.0b3 on windows32? Also I am not sure that I know how to manipulate the code that you guys said that you have to so that it will work so if that is needed could you post a walk through of that also?

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numpy-1.0b3 under windows
by Jordan Dawe Aug. 24, 2006

Aug. 24, 2006

I just tried to compile numpy-1.0b3 under windows using mingw. I got this error: compile options: '-Ibuild\src.win32-2.4\numpy\core\src -Inumpy\core\include -Ibuild\src.win32-2.4\numpy\core -Inumpy\core\src -Inumpy\core\include -Ic:\Python24\include -Ic:\Python24\PC -c' gcc -mno-cygwin -O2 -Wall -Wstrict-prototypes -Ibuild\src.win32-2.4\numpy\core\src -Inumpy\core\include -Ibuild\src.win32-2.4\numpy\core -Inumpy\core\src -Inumpy\core\include -Ic:\Python24\include -Ic:\Python24\PC -c numpy\core\src\multiarraymodule.c -o build\temp.win32-2.4\Release\numpy\core\src\multiarraymodule.o In file included from numpy/core/src/multiarraymodule.c:64: numpy/core/src/arrayobject.c:6643: initializer element is not constant numpy/core/src/arrayobject.c:6643: (near initialization for `PyArray_Type.tp_free') numpy/core/src/arrayobject.c:10312: initializer element is not constant numpy/core/src/arrayobject.c:10312: (near initialization for `PyArrayMultiIter_Type.tp_free') numpy/core/src/arrayobject.c:11189: initializer element is not constant numpy/core/src/arrayobject.c:11189: (near initialization for `PyArrayDescr_Type.tp_hash') error: Command "gcc -mno-cygwin -O2 -Wall -Wstrict-prototypes -Ibuild\src.win32-2.4\numpy\core\src -Inumpy\core\include -Ibuild\src.win32-2.4\numpy\core -Inumpy\core\src -Inumpy\core\include -Ic:\Python24\include -Ic:\Python24\PC -c numpy\core\src\multiarraymodule.c -o build\temp.win32-2.4\Release\numpy\core\src\multiarraymodule.o" failed with exit status 1 Any ideas? Jordan Dawe

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speed degression
by Joris De Ridder Aug. 23, 2006

Aug. 23, 2006

Hi, Some of my code is heavily using large complex arrays, and I noticed a speed degression in NumPy 1.0b2 with respect to Numarray. The following code snippet is an example that on my computer runs 10% faster in Numarray than in NumPy. >>> A = zeros(1000000, complex) >>> for k in range(1000): ... A *= zeros(1000000, complex) (I replaced 'complex' with 'Complex' in Numarray). Can anyone confirm this? Ciao, Joris

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Newbie question
by Paul Midgley Aug. 23, 2006

Aug. 23, 2006

Hello I have been interested in using python for some time for carrying out calculations, but I have not been able to determine if it is possible to use it to print out a report at the end. What I want is to use it similar to Mathcad producing structured equations in line with the text, graphs etc. I can produced decent reports using MS Word or open office, but these will not do the calculations and the anlysis work that can be done with python and similar languages. What I am trying to achieve is calculations in a template form where the raw data can be put into it and carries out the calculations and it can be printed out in the form of a report. Any help would be appreciated. Regards Paul

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Array pooling
by Carlos Pita Aug. 23, 2006

Aug. 23, 2006

Hi! I'm writting a real time sound synthesis framework where processing units are interconnected via numpy arrays. These buffers are all the same size and type, so it would be easy and convenient pooling them in order to avoid excesive creation/destruction of arrays (consider that thousands of them are acquired and released per second, but just a few dozens used at the same time). But first I would like to know if numpy implements some pooling mechanism by itself. Could you give me some insight on this? Also, is it possible to obtain an uninitialized array? I mean, sometimes I don't feel like wasting valuable cpu clocks filling arrays with zeros, ones or whatever. Thank you in advance. Regards, Carlos --------------------------------- Preguntá. Respondé. Descubrí. Todo lo que querías saber, y lo que ni imaginabas, está en Yahoo! Respuestas (Beta). Probalo ya!

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