
Arnd Baecker wrote:
just to report something positive with my (almost;-) daily build on 64Bit:
With '0.5.0.2012' **all** tests pass on 64 Bit (apart from the well-known ndimage one).
Best, Arnd
_______________________________________________ Scipy-dev mailing list Scipy-dev@scipy.net http://www.scipy.net/mailman/listinfo/scipy-dev
On 32 bit there is still one failure but I cannot reproduce it on a 64 bit system. Why ? ====================================================================== FAIL: check_simple (scipy.optimize.tests.test_cobyla.test_cobyla) ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.4/site-packages/scipy/optimize/tests/test_cobyla.py", line 20, in check_simple assert_almost_equal(x, [x0, x1], decimal=5) File "/usr/lib/python2.4/site-packages/numpy/testing/utils.py", line 152, in assert_almost_equal return assert_array_almost_equal(actual, desired, decimal, err_msg) File "/usr/lib/python2.4/site-packages/numpy/testing/utils.py", line 222, in assert_array_almost_equal header='Arrays are not almost equal') File "/usr/lib/python2.4/site-packages/numpy/testing/utils.py", line 207, in assert_array_compare assert cond, msg AssertionError: Arrays are not almost equal (mismatch 100.0%) x: array([ 4.957975 , 0.64690335]) y: array([ 4.95535625, 0.66666667]) ---------------------------------------------------------------------- Ran 1541 tests in 14.704s FAILED (failures=1) <unittest.TextTestRunner object at 0xb1fe912c>
scipy.__version__ '0.5.0.2012' numpy.__version__ '0.9.9.2696'