Got you. BTW, I did manage to compile ATLAS 3.7 version into .a. Any chance I can use that? Or only shared object can be used??
Gen On Jun 8, 2006, at 3:11 PM, David M. Cooke wrote: > On Thu, 8 Jun 2006 14:57:02 -0700 > Gennan Chen <[EMAIL PROTECTED]> wrote: > >> Hi! >> >> I just got an MacBook Pro and tried to install numpy+scipy on that. >> I successfully installed ipython+matplotlib+python 2.4 through >> darwinports. >> Then I svn co a copy of numpy +scipy. Compilation (gcc 4.0.1 + >> gfortran) seems working fine for numpy. After I installed it and run >> numpy.test() in ipython, it failed. And the error is: >> >> In [4]: numpy.test() >> Found 3 tests for numpy.lib.getlimits >> Found 30 tests for numpy.core.numerictypes >> Found 13 tests for numpy.core.umath >> Found 3 tests for numpy.core.scalarmath >> Found 8 tests for numpy.lib.arraysetops >> Found 42 tests for numpy.lib.type_check >> Found 95 tests for numpy.core.multiarray >> Found 3 tests for numpy.dft.helper >> Found 36 tests for numpy.core.ma >> Found 2 tests for numpy.core.oldnumeric >> Found 9 tests for numpy.lib.twodim_base >> Found 9 tests for numpy.core.defmatrix >> Found 1 tests for numpy.lib.ufunclike >> Found 35 tests for numpy.lib.function_base >> Found 1 tests for numpy.lib.polynomial >> Found 6 tests for numpy.core.records >> Found 19 tests for numpy.core.numeric >> Found 5 tests for numpy.distutils.misc_util >> Found 4 tests for numpy.lib.index_tricks >> Found 46 tests for numpy.lib.shape_base >> Found 0 tests for __main__ >> ..............................................F...................... >> ... >> ..................................................................... >> ... >> ..................................................................... >> ... >> ..................................................................... >> ... >> ..................................................................... >> ... >> .......... >> ===================================================================== >> = >> FAIL: check_large_types (numpy.core.tests.test_scalarmath.test_power) >> --------------------------------------------------------------------- >> - >> Traceback (most recent call last): >> File "/opt/local/lib/python2.4/site-packages/numpy/core/tests/ >> test_scalarmath.py", line 42, in check_large_types >> assert b == 6765201, "error with %r: got %r" % (t,b) >> AssertionError: error with <type 'float128scalar'>: got 0.0 >> >> --------------------------------------------------------------------- >> - >> Ran 370 tests in 0.510s >> >> FAILED (failures=1) >> Out[4]: <unittest.TextTestRunner object at 0x1581fd0> >> >> >> Anyone has any idea?? or Anyone ever successfully did that? > > It's new; something's missing in the new power code I added for the > scalartypes. It'll get fixed when I get around to it :-) > > -- > |>|\/|< > /--------------------------------------------------------------------- > -----\ > |David M. Cooke http:// > arbutus.physics.mcmaster.ca/dmc/ > |[EMAIL PROTECTED] > _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
