[Numpy-discussion] numpy revision 3056 will not build on RHE3 or Solaris
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 : warning: argument #4 is incompatible with prototype: prototype: pointer to void : numpy/core/src/arrayobject.c, line 4326
Re: [Numpy-discussion] users point of view and ufuncs
On 8/24/06, Bill Baxter [EMAIL PROTECTED] wrote: [snip] it would be nice to add a concise definition of ufunc to the numpy glossary: http://www.scipy.org/Numpy_Glossary. done Can anyone come up with such a definition? I copied the definition from the old Numeric manual. Here's my stab at it: ufunc: A function that operates element-wise on arrays. This is not entirely correct. Ufuncs operate on anything that can be passed to asarray: arrays, python lists, tuples or scalars. - Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] numpy-1.0b3 under windows
Thanks Travis - that did the trick. Is this an issue specifically with mingw and Windows? - Frank Travis Oliphant wrote: Travis Oliphant wrote: Frank Conradie wrote: Hi Sven and Jordan I wish to add my name to this list ;-) I just got the same error trying to compile for Python 2.3 with latest candidate mingw32, following the instructions at http://www.scipy.org/Installing_SciPy/Windows . Hopefully someone can shed some light on this error - what I've been able to find on the net explains something about C not allowing dynamic initializing of global variables, whereas C++ does...? Edit line 690 of ndarrayobject.h to read #define NPY_USE_PYMEM 0 Hopefully that should fix the error. You will also have to alter line 11189 so that _Py_HashPointer is replaced by 0 or NULL - Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion - Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnkkid=120709bid=263057dat=121642___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] numpy-1.0b3 under windows
Frank Conradie wrote: Thanks Travis - that did the trick. Is this an issue specifically with mingw and Windows? Yes, I keep forgetting that Python functions are not necessarily defined at compile time on Windows. It may also be a problem with MSVC on Windows but I'm not sure. The real fix is now in SVN where these function pointers are initialized before calling PyType_Ready -Travis - Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] numpy revision 3056 will not build on RHE3 or Solaris
Christopher Hanley wrote: Good Morning, Numpy revision 3056 will not build on either Red Hat Enterprise 3 or Solaris 8. The relevant syntax errors are below: I'd like to see which platforms do not work with the npy_interrupt.h stuff. If you have a unique platform please try the latest SVN. There is a NPY_NO_SIGNAL define that will turn off support for interrupts which we can define on platforms that won't work. -Travis - Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] numpy revision 3056 will not bu ild on RHE3 or Solaris
Hi Travis, On Thursday 24 August 2006 12:24, you wrote: Christopher Hanley wrote: Good Morning, Numpy revision 3056 will not build on either Red Hat Enterprise 3 or Solaris 8. The relevant syntax errors are below: I'd like to see which platforms do not work with the npy_interrupt.h stuff. If you have a unique platform please try the latest SVN. I am able to build on an amd64/gentoo with python 2.4.3 and gcc-4.1.1. I am not able to build on 32bit RHEL4: - 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: In function `_npy_sighandler': numpy/core/include/numpy/npy_interrupt.h:102: error: `SIG_IGN' undeclared (first use in this function) numpy/core/include/numpy/npy_interrupt.h:102: error: (Each undeclared identifier is reported only once numpy/core/include/numpy/npy_interrupt.h:102: error: for each function it appears in.) numpy/core/src/multiarraymodule.c: In function `test_interrupt': numpy/core/src/multiarraymodule.c:6439: error: `SIGINT' undeclared (first use in this function) 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: In function `_npy_sighandler': numpy/core/include/numpy/npy_interrupt.h:102: error: `SIG_IGN' undeclared (first use in this function) numpy/core/include/numpy/npy_interrupt.h:102: error: (Each undeclared identifier is reported only once numpy/core/include/numpy/npy_interrupt.h:102: error: for each function it appears in.) numpy/core/src/multiarraymodule.c: In function `test_interrupt': numpy/core/src/multiarraymodule.c:6439: error: `SIGINT' undeclared (first use in this function) error: Command gcc -pthread -fno-strict-aliasing -DNDEBUG -O2 -g -pipe -m32 -march=i386 -mtune=pentium4 -D_GNU_SOURCE -fPIC -fPIC -Ibuild/src.linux-i686-2.3/numpy/core/src -Inumpy/core/include -Ibuild/src.linux-i686-2.3/numpy/core -Inumpy/core/src -Inumpy/core/include -I/usr/include/python2.3 -c numpy/core/src/multiarraymodule.c -o build/temp.linux-i686-2.3/numpy/core/src/multiarraymodule.o failed with exit status 1 - Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] numpy-1.0b3 under windows
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? - Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] numpy-1.0b3 under windows
On Thursday 24 August 2006 09:50, [EMAIL PROTECTED] 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 - Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] numpy-1.0b3 under windows
Albert Strasheim wrote: Dialog pops up: --- python.exe - Application Error --- The exception unknown software exception (0xc029) occurred in the application at location 0x7c86d474. Click on OK to terminate the program Click on CANCEL to debug the program --- OK Cancel --- In the Python console it prints: -2147483648 If you can give me some idea of what should be happening, I can take a look at fixing it. When does the crash happen? Does it happen when you press Ctrl-C? What's supposed to be happening is that we are registering a handler for Ctrl-C that longjmps back to just after the code between NPY_SIGINT_ON and NPY_SIGINT_OFF. I'm not sure how to actually accomplish something like that under windows as I've heard mention that longjmp should not be used with signals under win32. The easy fix is to just define NPY_NO_SIGNAL in setup.py when on a platform that doesn't support using signals and longjmp (like apparently win32). If you could figure out what to do instead on windows that would be preferrable. -Travis - Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] (no subject)
[EMAIL PROTECTED] wrote: On Thursday 24 August 2006 09:50, [EMAIL PROTECTED] 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. $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 100 of C-API but this version of numpy is 102 Fatal Python error: numpy.core.multiarray failed to import... exiting. abnormal program termination You have a module built against an older version of NumPy. What modules are being loaded? Perhaps it is matplotlib or SciPy -Travis - Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] Handling interrupts in NumPy extensions
David Cournapeau wrote: I'm working on some macros that will allow extensions to be interruptable (i.e. with Ctrl-C). The idea came from SAGE but the implementation is complicated by the possibility of threads and making sure to handle clean-up code correctly when the interrupt returns. This is funny, I was just thinking about that yesterday. This is a major problem when writing C extensions in matlab (the manual says use the matlab allocator instead of malloc/new/whatever, but when you call a library, you cannot do that...). I'm glad many people are thinking about it.There is no reason we can't have a few ways to handle the situation. Currently in SVN, the simple NPY_SIGINT_ON [code] NPY_SIGINT_OFF approach is implemented (for platforms with sigsetjmp/siglongjmp). You can already use the approach suggested: if (PyOS_InterruptOccurred()) goto error to handle interrupts. The drawback of this approach is that the loop executes more slowly because a check for the interrupt occurs many times in the loop which costs time. The advantage is that it may work with threads (I'm not clear on whether or not PyOS_InterruptOccurred can be called without the GIL, though). I think the case proposer by Perry is too restrictive: it is really common to use external libraries which we do not know whether they use memory allocation inside the processing, and there is a need to clean that too. If nothing is known about memory allocation of the external library, then I don't see how it can be safely interrupted using any mechanism. What is available now is sufficient. I played far too long with how to handle threads, but was not able to come up with a solution, so for now I've punted. -Travis - Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] numpy-1.0b3 under windows
In compiling matplotlib and scipy, I get errors complaining about multiply defined symbols (See below). I tried to fix this with - multiply_defined suppress but this did not work. Is there a way to make this go away? -Rob Scipy error: c++ -bundle -undefined dynamic_lookup build/temp.macosx-10.4-i386-2.4/ Lib/sandbox/delaunay/_delaunay.o build/temp.macosx-10.4-i386-2.4/Lib/ sandbox/delaunay/VoronoiDiagramGenerator.o build/temp.macosx-10.4- i386-2.4/Lib/sandbox/delaunay/delaunay_utils.o build/temp.macosx-10.4- i386-2.4/Lib/sandbox/delaunay/natneighbors.o -Lbuild/temp.macosx-10.4- i386-2.4 -o build/lib.macosx-10.4-i386-2.4/scipy/sandbox/delaunay/ _delaunay.so /usr/bin/ld: multiple definitions of symbol __NPY_SIGINT_BUF build/temp.macosx-10.4-i386-2.4/Lib/sandbox/delaunay/_delaunay.o definition of __NPY_SIGINT_BUF in section (__DATA,__common) build/temp.macosx-10.4-i386-2.4/Lib/sandbox/delaunay/ VoronoiDiagramGenerator.o definition of __NPY_SIGINT_BUF in section (__DATA,__common) collect2: ld returned 1 exit status /usr/bin/ld: multiple definitions of symbol __NPY_SIGINT_BUF build/temp.macosx-10.4-i386-2.4/Lib/sandbox/delaunay/_delaunay.o definition of __NPY_SIGINT_BUF in section (__DATA,__common) build/temp.macosx-10.4-i386-2.4/Lib/sandbox/delaunay/ VoronoiDiagramGenerator.o definition of __NPY_SIGINT_BUF in section (__DATA,__common) collect2: ld returned 1 exit status error: Command c++ -bundle -undefined dynamic_lookup build/ temp.macosx-10.4-i386-2.4/Lib/sandbox/delaunay/_delaunay.o build/ temp.macosx-10.4-i386-2.4/Lib/sandbox/delaunay/ VoronoiDiagramGenerator.o build/temp.macosx-10.4-i386-2.4/Lib/sandbox/ delaunay/delaunay_utils.o build/temp.macosx-10.4-i386-2.4/Lib/sandbox/ delaunay/natneighbors.o -Lbuild/temp.macosx-10.4-i386-2.4 -o build/ lib.macosx-10.4-i386-2.4/scipy/sandbox/delaunay/_delaunay.so failed with exit status 1 matplotlib error: c++ -bundle -undefined dynamic_lookup build/temp.macosx-10.4-i386-2.4/ agg23/src/agg_trans_affine.o build/temp.macosx-10.4-i386-2.4/agg23/ src/agg_path_storage.o build/temp.macosx-10.4-i386-2.4/agg23/src/ agg_bezier_arc.o build/temp.macosx-10.4-i386-2.4/agg23/src/ agg_curves.o build/temp.macosx-10.4-i386-2.4/agg23/src/ agg_vcgen_dash.o build/temp.macosx-10.4-i386-2.4/agg23/src/ agg_vcgen_stroke.o build/temp.macosx-10.4-i386-2.4/agg23/src/ agg_rasterizer_scanline_aa.o build/temp.macosx-10.4-i386-2.4/agg23/ src/agg_image_filters.o build/temp.macosx-10.4-i386-2.4/src/_image.o build/temp.macosx-10.4-i386-2.4/src/ft2font.o build/temp.macosx-10.4- i386-2.4/src/mplutils.o build/temp.macosx-10.4-i386-2.4/CXX/ cxx_extensions.o build/temp.macosx-10.4-i386-2.4/CXX/cxxsupport.o build/temp.macosx-10.4-i386-2.4/CXX/IndirectPythonInterface.o build/ temp.macosx-10.4-i386-2.4/CXX/cxxextensions.o build/temp.macosx-10.4- i386-2.4/src/_ns_backend_agg.o -L/usr/local/lib -L/usr/lib -L/usr/ local/lib -L/usr/lib -lpng -lz -lstdc++ -lm -lfreetype -lz -lstdc++ - lm -o build/lib.macosx-10.4-i386-2.4/matplotlib/backends/ _ns_backend_agg.so /usr/bin/ld: multiple definitions of symbol __NPY_SIGINT_BUF build/temp.macosx-10.4-i386-2.4/src/_image.o definition of __NPY_SIGINT_BUF in section (__DATA,__common) build/temp.macosx-10.4-i386-2.4/src/_ns_backend_agg.o definition of __NPY_SIGINT_BUF in section (__DATA,__common) collect2: ld returned 1 exit status /usr/bin/ld: multiple definitions of symbol __NPY_SIGINT_BUF build/temp.macosx-10.4-i386-2.4/src/_image.o definition of __NPY_SIGINT_BUF in section (__DATA,__common) build/temp.macosx-10.4-i386-2.4/src/_ns_backend_agg.o definition of __NPY_SIGINT_BUF in section (__DATA,__common) collect2: ld returned 1 exit status error: Command c++ -bundle -undefined dynamic_lookup build/ temp.macosx-10.4-i386-2.4/agg23/src/agg_trans_affine.o build/ temp.macosx-10.4-i386-2.4/agg23/src/agg_path_storage.o build/ temp.macosx-10.4-i386-2.4/agg23/src/agg_bezier_arc.o build/ temp.macosx-10.4-i386-2.4/agg23/src/agg_curves.o build/ temp.macosx-10.4-i386-2.4/agg23/src/agg_vcgen_dash.o build/ temp.macosx-10.4-i386-2.4/agg23/src/agg_vcgen_stroke.o build/ temp.macosx-10.4-i386-2.4/agg23/src/agg_rasterizer_scanline_aa.o build/temp.macosx-10.4-i386-2.4/agg23/src/agg_image_filters.o build/ temp.macosx-10.4-i386-2.4/src/_image.o build/temp.macosx-10.4- i386-2.4/src/ft2font.o build/temp.macosx-10.4-i386-2.4/src/mplutils.o build/temp.macosx-10.4-i386-2.4/CXX/cxx_extensions.o build/ temp.macosx-10.4-i386-2.4/CXX/cxxsupport.o build/temp.macosx-10.4- i386-2.4/CXX/IndirectPythonInterface.o build/temp.macosx-10.4- i386-2.4/CXX/cxxextensions.o build/temp.macosx-10.4-i386-2.4/src/ _ns_backend_agg.o -L/usr/local/lib -L/usr/lib -L/usr/local/lib -L/usr/ lib -lpng -lz -lstdc++ -lm -lfreetype -lz -lstdc++ -lm -o build/ lib.macosx-10.4-i386-2.4/matplotlib/backends/_ns_backend_agg.so failed with exit status 1 On Aug 24, 2006, at 2:18 PM, Travis Oliphant wrote: Albert Strasheim wrote: Dialog pops up:
Re: [Numpy-discussion] numpy-1.0b3 under windows
Rob Hetland wrote: In compiling matplotlib and scipy, I get errors complaining about multiply defined symbols (See below). I tried to fix this with - multiply_defined suppress but this did not work. Is there a way to make this go away? Can you try current SVN again, to see if it now works? -Travis - Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] Handling interrupts in NumPy extensions
On Aug 24, 2006, at 18:38 , Travis Oliphant wrote:
You can already use the approach suggested:
if (PyOS_InterruptOccurred()) goto error
to handle interrupts. The drawback of this approach is that the loop
executes more slowly because a check for the interrupt occurs many
times
in the loop which costs time.
The advantage is that it may work with threads (I'm not clear on
whether
or not PyOS_InterruptOccurred can be called without the GIL, though).
It should be; it's pure C code:
int
PyOS_InterruptOccurred(void)
{
if (!interrupted)
return 0;
interrupted = 0;
return 1;
}
(where interrupted is a static int).
--
||\/|
/--\
|David M. Cooke http://arbutus.physics.mcmaster.ca/dmc/
|[EMAIL PROTECTED]
-
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[Numpy-discussion] hstack(arr_Int32, arr_float32) fails because of casting rules
Hi, I get TypeError: array cannot be safely cast to required type when calling hstack() ( which calls concatenate() ) on two arrays being a int32 and a float32 respectively. I understand now that a int32 cannot be safely converted into a float32 but why does concatenate not automatically up(?) cast to float64 ?? Is this really required to be done *explicitly* every time ? ** In general it makes float32 cubersome to use. ** ( Background: my large image data is float32 (float64 would require too much memory) and the hstack call happens inside scipy plt module when I try to get a 1d line profile and the y_data is hstack'ed with the x-axis values (int32)) ) Thanks, Sebastian Haase - Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] users point of view and ufuncs
On 8/24/06, Sasha [EMAIL PROTECTED] wrote: On 8/24/06, Bill Baxter [EMAIL PROTECTED] wrote: [snip] it would be nice to add a concise definition of ufunc to the numpy glossary: http://www.scipy.org/Numpy_Glossary. done Can anyone come up with such a definition? I copied the definition from the old Numeric manual. Here's my stab at it: ufunc: A function that operates element-wise on arrays. This is not entirely correct. Ufuncs operate on anything that can be passed to asarray: arrays, python lists, tuples or scalars. Hey Sasha. Your defnition may be more correct, but I have to confess I don't understand it. Universal function. Universal functions follow similar rules for broadcasting, coercion and element-wise operation. What is coercion? (Who or what is being coerced to do what?) and what does it mean to follow similar rules for ... coercion? Similar to what? --bill - Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] (no subject)
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[Numpy-discussion] tensor dot ?
numpy.dot.__doc__ matrixproduct(a,b) Returns the dot product of a and b for arrays of floating point types. Like the generic numpy equivalent the product sum is over the last dimension of a and the second-to-last dimension of b. NB: The first argument is not conjugated. Does numpy support summing over arbitrary dimensions, as in tensor calculus ? I could cook up something that uses transpose and dot, but it's reasonably tricky i think :) Simon. -- Simon Burton, B.Sc. Licensed PO Box 8066 ANU Canberra 2601 Australia Ph. 61 02 6249 6940 http://arrowtheory.com - Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] Handling interrupts in NumPy extensions
Travis Oliphant wrote: I'm glad many people are thinking about it.There is no reason we can't have a few ways to handle the situation. Currently in SVN, the simple NPY_SIGINT_ON [code] NPY_SIGINT_OFF approach is implemented (for platforms with sigsetjmp/siglongjmp). You can already use the approach suggested: if (PyOS_InterruptOccurred()) goto error to handle interrupts. The drawback of this approach is that the loop executes more slowly because a check for the interrupt occurs many times in the loop which costs time. I am not sure whether there are other solutions... This is the way I saw signal handling done in common programs when I looked for a solution for my matlab extensions. The advantage is that it may work with threads (I'm not clear on whether or not PyOS_InterruptOccurred can be called without the GIL, though). I think the case proposer by Perry is too restrictive: it is really common to use external libraries which we do not know whether they use memory allocation inside the processing, and there is a need to clean that too. If nothing is known about memory allocation of the external library, then I don't see how it can be safely interrupted using any mechanism. If the library does nothing w.r.t signals, then you just have to clean all the things related to the library once you caught a signal. This is no different than cleaning your own code. Actually, cleaning libraries is the main reason why I implemented this signal scheme in matlab extensions, since they cannot use the matlab memory allocator, and because they live in the same memory space, calling several times the same extension can corrupt really quickly most of matlab memory space. Maybe there are some problems I am not aware of ? David - Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] hstack(arr_Int32, arr_float32) fails because of casting rules
Sebastian Haase wrote: On Thursday 24 August 2006 17:28, Travis Oliphant wrote: Are you saying the ufunc-rules would convert int32-float32 to float64 and hence make my code just work !? Yes. That's what I'm saying (but you would get float64 out --- but if you didn't want that then you would have to be specific). And why are there two sets of rules ? Because there are two modules (multiarray and umath) where the functionality is implemented. Are the Numeric rules used at many places ? Not that many. I did abstract the notion to a C-API: PyArray_ConvertToCommonType and implemented the scalars-don't-cause-upcasting part of the ufunc rules in that code. But, I followed the old-style Numeric coercion rules for the rest of it (because I was adapting Numeric). Right now, unless there are strong objections, I'm leaning to changing that so that the same coercion rules are used whenever a common type is needed. It would not be that difficult of a change. -Travis - Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] users point of view and ufuncs
On 8/24/06, Bill Baxter [EMAIL PROTECTED] wrote: [snip] Hey Sasha. Your defnition may be more correct, but I have to confess I don't understand it. Universal function. Universal functions follow similar rules for broadcasting, coercion and element-wise operation. What is coercion? (Who or what is being coerced to do what?) and what does it mean to follow similar rules for ... coercion? Similar to what? This is not my definition, I just rephrased the introductory paragraph from the ufunc section of the Numerical Python http://numpy.scipy.org/numpydoc/numpy-7.html#pgfId-36127. Feel free to edit it so that it makes more sense. Please note that I originally intended the Numpy Glossary not as a place to learn new terms, but as a guide for those who know more than one meaning of the terms or more than one way to call something. (See the preamble.) This may explain why I did not include ufunc to begin with. (I remember deciding not to include ufunc, but I don't remember the exact reason anymore.) I would welcome an effort to make the glossary more novice friendly, but not at the expense of oversimplifying things. BTW, do you think Rank ... (2) number of orthogonal dimensions of a matrix is clear? Considering that matrix is defined a an array of rank 2? Is rank in linear algebra sense common enough in numpy documentation to be included in the glossary? For comparison, here are a few alternative formulations of matrix rank definition: The rank of a matrix or a linear map is the dimension of the image of the matrix or the linear map, corresponding to the number of linearly independent rows or columns of the matrix, or to the number of nonzero singular values of the map. http://mathworld.wolfram.com/MatrixRank.html In linear algebra, the column rank (row rank respectively) of a matrix A with entries in some field is defined to be the maximal number of columns (rows respectively) of A which are linearly independent. http://en.wikipedia.org/wiki/Rank_(linear_algebra) - Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] Handling interrupts in NumPy extensions
David Cournapeau wrote: If nothing is known about memory allocation of the external library, then I don't see how it can be safely interrupted using any mechanism. If the library does nothing w.r.t signals, then you just have to clean all the things related to the library once you caught a signal. This is no different than cleaning your own code. Right, as long as you know what to do you are O.K. I was just thinking about a hypothetical situation where the library allocated some temporary memory that it was going to free at the end of the subroutine but then an interrupt jumped out back to your code before it could finish. In a case like this, you would have to use the check if interrupt has occurred approach before and after the library call. But, then that library call is not interruptable. I could also see wanting to be able to interrupt a library calculation when you know it isn't allocating memory. So, I like having both possibilities available. So far we haven't actually put anything in the numpy code itself. I'm leaning to putting PyOS_InterruptOccurred-style checks in a few places at some point down the road. -Travis - Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] hstack(arr_Int32, arr_float32) fails because of casting rules
Travis Oliphant wrote: Sebastian Haase wrote: On Thursday 24 August 2006 17:28, Travis Oliphant wrote: Are you saying the ufunc-rules would convert int32-float32 to float64 and hence make my code just work !? Yes. That's what I'm saying (but you would get float64 out --- but if you didn't want that then you would have to be specific). And why are there two sets of rules ? Because there are two modules (multiarray and umath) where the functionality is implemented. Are the Numeric rules used at many places ? Not that many. I did abstract the notion to a C-API: PyArray_ConvertToCommonType and implemented the scalars-don't-cause-upcasting part of the ufunc rules in that code. But, I followed the old-style Numeric coercion rules for the rest of it (because I was adapting Numeric). Right now, unless there are strong objections, I'm leaning to changing that so that the same coercion rules are used whenever a common type is needed. If you mean keeping the ufunc rules (which seem more liberal, fix my problem ;-) and might make using float32 in general more painless) - I would be all for it ... simplifying is always good in the long term ... Cheers, Sebastian It would not be that difficult of a change. - Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Re: [Numpy-discussion] Handling interrupts in NumPy extensions
Travis Oliphant wrote: Right, as long as you know what to do you are O.K. I was just thinking about a hypothetical situation where the library allocated some temporary memory that it was going to free at the end of the subroutine but then an interrupt jumped out back to your code before it could finish. In a case like this, you would have to use the check if interrupt has occurred approach before and after the library call. Indeed. By the way, I tried something for python.thread + signals. This is posix specific, and it works as expected on linux: - first, a C extension which implements the signal handling. It has a function called hello, which is the entry point of the C module, and calls the function process (which does random computation). It checks if it got a SIGINT signal, and returns -1 if caught. Returns 0 if no SIGINT called: - extension compiled into python module (I used boost python because I am too lazy to find how to do it in C :) ) - python script which creates several threads running the hello function. They run in parallel, and ctrl+C is correctly handled. I think this is signal specific, and this needs to be improved (this is just meant as a toy example): import threading import hello import time class mythread(threading.Thread): def __init__(self): threading.Thread.__init__(self) def run(self): print Starting thread, self.getName() st = 0 while st == 0: st = hello.foo(self.getName()) # sleep to force the python interpreter to run # other threads if available time.sleep(1) if st == -1: print self.getName() + got signal print Ending thread, self.getName() nthread = 5 t = [mythread() for i in range(nthread)] [i.start() for i in t] Then, you have something like: tarting thread Thread-1 Thread-1 processing... done clean called Starting thread Thread-5 Thread-5 processing... done clean called Starting thread Thread-3 Thread-3 processing... done clean called Starting thread Thread-2 Thread-2 processing... done hello.c:hello signal caught line 56 for thread Thread-2 clean called Thread-1 processing... done clean called Starting thread Thread-4 Thread-4 processing... done clean called Thread-5 processing... done clean called Thread-3 processing... done hello.c:hello signal caught line 56 for thread Thread-3 clean called Thread-2 got signal Ending thread Thread-2 Thread-1 processing... done clean called Thread-4 processing... done clean called Thread-5 processing... done clean called Thread-3 got signal Ending thread Thread-3 Thread-1 processing... done hello.c:hello signal caught line 56 for thread Thread-1 clean called Thread-4 processing... done clean called Thread-5 processing... done hello.c:hello signal caught line 56 for thread Thread-5 clean called Thread-1 got signal Ending thread Thread-1 Thread-4 processing... done clean called Thread-5 got signal Ending thread Thread-5 Thread-4 processing... done clean called Thread-4 processing... done clean called Thread-4 processing... done hello.c:hello signal caught line 56 for thread Thread-4 clean called Thread-4 got signal Ending thread Thread-4 (SIGINT are received when Ctrl+C on linux) You can find all sources here: http://www.ar.media.kyoto-u.ac.jp/members/david/numpysig/ Please note that I know almost nothing about all this stuff, I just naively implemented from the example of GNU C library, and it always worked for me on matlab on my machine. I do not know if this is portable, if this can work for other signals, etc... David - Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnkkid=120709bid=263057dat=121642 ___ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
