Numpy 1.3.0 rc1 fails this self-test on Solaris.
====================================================================== FAIL: Test find_duplicates ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/ra/pyssg/2.5.1/numpy/lib/tests/test_recfunctions.py", line 163, in test_find_duplicates assert_equal(test[0], a[control]) File "/usr/stsci/pyssgdev/2.5.1/numpy/ma/testutils.py", line 121, in assert_equal return assert_array_equal(actual, desired, err_msg) File "/usr/stsci/pyssgdev/2.5.1/numpy/ma/testutils.py", line 193, in assert_array_equal header='Arrays are not equal') File "/usr/stsci/pyssgdev/2.5.1/numpy/ma/testutils.py", line 186, in assert_array_compare verbose=verbose, header=header) File "/usr/stsci/pyssgdev/2.5.1/numpy/testing/utils.py", line 395, in assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not equal (mismatch 50.0%) x: array([(1, (2.0, 'B')), (2, (2.0, 'B')), (2, (2.0, 'B')), (1, (2.0, 'B'))], dtype=[('A', '>i4'), ('B', [('BA', '>f8'), ('BB', '|S1')])]) y: array([(2, (2.0, 'B')), (1, (2.0, 'B')), (2, (2.0, 'B')), (1, (2.0, 'B'))], dtype=[('A', '>i4'), ('B', [('BA', '>f8'), ('BB', '|S1')])]) ---------------------------------------------------------------------- The software I am using: NumPy version 1.3.0rc1 Python version 2.5.1 (r251:54863, Jun 4 2008, 15:48:19) [C] nose version 0.10.4 I think this identifies the compilers it was built with: customize SunFCompiler Found executable /opt/SUNWspro-6u2/bin/f90 Could not locate executable echo ranlib customize SunFCompiler customize SunFCompiler using config C compiler: cc -DNDEBUG -O -xcode=pic32 It passes in Python 2.5.1 on these machines: x86 macintosh, 32 bit Red Hat Enterprise 4 Linux, x86, 32 bit RHE 3, x86, 32 bit RHE 4, x86, 64 bit PowerPC mac, 32 bit (Yes, even the PPC mac.) I see that this is the same problem as http://projects.scipy.org/numpy/ticket/1039 but the data used in the test is different. Mark S. _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion