Hi, On Sun, Mar 4, 2012 at 11:53 PM, Mark Wiebe <mwwi...@gmail.com> wrote: > On Sun, Mar 4, 2012 at 10:34 PM, Matthew Brett <matthew.br...@gmail.com> > wrote: >> >> <snip> >> > $ export NPY_SEPARATE_COMPILATION=1 >> >> Thanks, that did it: >> >> 9194b3af704df71aa9b1ff2f53f169848d0f9dc7 is the first bad commit >> >> Let me know if I can debug further, > > > That commit was a rewrite of np.concatenate, and I've traced the test > function you got the crash in. The only call to concatenate is as follows: > >>>> a = np.array([True], dtype=object) >>>> np.concatenate((a,)*3) > array([True, True, True], dtype=object) >>>> > > Can you try this and see if it crashes?
No, that doesn't crash. Further investigation revealed the crash to be: (bare-env)[matthew@vagus ~]$ nosetests ~/dev_trees/numpy/numpy/lib/tests/test_io.py:TestFromTxt.test_with_masked_column_various nose.config: INFO: Ignoring files matching ['^\\.', '^_', '^setup\\.py$'] Test masked column ... Bus error Accordingly: In [1]: import numpy as np In [2]: from StringIO import StringIO In [3]: data = StringIO('True 2 3\nFalse 5 6\n') In [4]: test = np.genfromtxt(data, dtype=None, missing_values='2,5', usemask=True) In [6]: from numpy import ma In [7]: control = ma.array([(1, 2, 3), (0, 5, 6)], mask=[(0, 1, 0), (0, 1, 0)], dtype=[('f0', bool), ('f1', bool), ('f2', int)]) In [8]: test == control Bus error > Another thing you can do is compile with debug information enabled, then run > the crashing case in gdb. This will look something like this: > > $ export CFLAGS=-g > $ rm -rf build # make sure it's a fresh build from scratch > $ python setup.py install --prefix=<dir> # or however you do it > [... build printout] > $ gdb python <script/options> > [... gdb info] > (gdb) run > [... script runs] > Program received signal SIGSEGV, Segmentation fault, > [crash address] > (gdb) backtrace > [full backtrace printout] > > Such a backtrace would be immensely helpful in tracking down why it's > crashing. I'll get back to you with this. See you, Matthew _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion