Hi, I have been having trouble with the following computation with numpy 1.2.rc1:
Python 2.5.2 (r252:60911, Jul 14 2008, 15:20:38) [GCC 4.2.4] on sunos5 Type "help", "copyright", "credits" or "license" for more information. >>> from numpy import * >>> a = array([1,0,0,0,0,-1],dtype=complex) array([ 1.+0.j, 0.+0.j, 0.+0.j, 0.+0.j, 0.+0.j, -1.+0.j]) >>> roots(a) Segmentation Fault (core dumped) python "$@" This is python 2.5.2 build with gcc 4.2.4, numpy itself is build with "-O0", i.e. this is unlikely to be a compiler bug IMHO. This bug has been present in 1.0.4, 1.1.0 and it seems unfixed in 1.2.rc1. The numpy 1.1 test suite passed with that install, I did not run the 1.2.rc1 one yet since I do not have nose installed. gdb says nothing particularly helpful: -bash-3.00$ gdb python GNU gdb 6.6 Copyright (C) 2006 Free Software Foundation, Inc. GDB is free software, covered by the GNU General Public License, and you are welcome to change it and/or distribute copies of it under certain conditions. Type "show copying" to see the conditions. There is absolutely no warranty for GDB. Type "show warranty" for details. This GDB was configured as "i386-pc-solaris2.10"... (gdb) r Starting program: /home/mabshoff/sage-3.0.5-x86-solaris/local/bin/python warning: rw_common (): unable to read at addr 0xd3f08 warning: sol_thread_new_objfile: td_ta_new: Debugger service failed warning: Unable to find dynamic linker breakpoint function. GDB will be unable to debug shared library initializers and track explicitly loaded dynamic code. Python 2.5.2 (r252:60911, Jul 14 2008, 15:20:38) [GCC 4.2.4] on sunos5 Type "help", "copyright", "credits" or "license" for more information. >>> from numpy import * >>> a = array([1,0,0,0,0,-1],dtype=complex) >>> a array([ 1.+0.j, 0.+0.j, 0.+0.j, 0.+0.j, 0.+0.j, -1.+0.j]) >>> roots(a) Program received signal SIGSEGV, Segmentation fault. 0xfed622b3 in csqrt () from /lib/libm.so.2 (gdb) bt #0 0xfed622b3 in csqrt () from /lib/libm.so.2 #1 0xfe681d5a in ?? () #2 0x00000000 in ?? () (gdb) quit Any pointers? Cheers, Michael _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
