[SciPy-User] scipy 0.9.0.dev6984 test failures

Nils Wagner nwagner@iam.uni-stuttgart...
Fri Dec 3 02:09:27 CST 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)


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