[SciPy-User] scipy 0.9.0.dev6984 test failures
Nils Wagner
nwagner at iam.uni-stuttgart.de
Fri Dec 3 03:09:27 EST 2010
======================================================================
FAIL: test_cast_to_fp (test_recaster.TestRecaster)
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/data/home/nwagner/local/lib/python2.5/site-packages/scipy/io/tests/test_recaster.py",
line 73, in test_cast_to_fp
'Expected %s from %s, got %s' % (outp, inp, dtt)
AssertionError: Expected <type 'numpy.float32'> from <type
'numpy.float64'>, got <type 'numpy.float16'>
======================================================================
FAIL: line-search Newton conjugate gradient optimization
routine
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/data/home/nwagner/local/lib/python2.5/site-packages/scipy/optimize/tests/test_optimize.py",
line 177, in test_ncg
assert_(self.gradcalls == 18, self.gradcalls) # 0.8.0
File
"/data/home/nwagner/local/lib/python2.5/site-packages/numpy/testing/utils.py",
line 34, in assert_
raise AssertionError(msg)
AssertionError: 16
======================================================================
FAIL: test_basic (test_signaltools.TestMedFilt)
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/data/home/nwagner/local/lib/python2.5/site-packages/scipy/signal/tests/test_signaltools.py",
line 284, in test_basic
[ 0, 7, 11, 7, 4, 4, 19, 19, 24, 0]])
File
"/data/home/nwagner/local/lib/python2.5/site-packages/numpy/testing/utils.py",
line 686, in assert_array_equal
verbose=verbose, header='Arrays are not equal')
File
"/data/home/nwagner/local/lib/python2.5/site-packages/numpy/testing/utils.py",
line 618, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not equal
(mismatch 8.0%)
x: array([[ 0., 50., 50., 50., 42., 15., 15.,
18., 27., 0.],
[ 0., 50., 50., 50., 50., 42., 19., 21.,
29., 0.],
[ 50., 50., 50., 50., 50., 47., 34., 34.,
46., 35.],...
y: array([[ 0, 50, 50, 50, 42, 15, 15, 18, 27, 0],
[ 0, 50, 50, 50, 50, 42, 19, 21, 29, 0],
[50, 50, 50, 50, 50, 47, 34, 34, 46, 35],...
----------------------------------------------------------------------
Ran 4794 tests in 75.009s
FAILED (KNOWNFAIL=13, SKIP=17, failures=4)
More information about the SciPy-User
mailing list