Call 'to_numeric' failed
Call 'to_numarray' failed
<type 'numpy.ndarray'> <type 'numpy.ndarray'> <type 'NoneType'>
(150, 4) (150,)
[[ 5.0999999   3.5         1.39999998  0.2       ]
 [ 4.9000001   3.          1.39999998  0.2       ]
 [ 4.69999981  3.20000005  1.29999995  0.2       ]
 [ 4.5999999   3.0999999   1.5         0.2       ]
 [ 5.          3.5999999   1.39999998  0.2       ]]
[ 0.  0.  0.  0.  0.]



<type 'numpy.ndarray'> <type 'NoneType'>
(150, 5)
[ 1.          7.4000001   2.79999995  6.0999999   1.89999998]






<type 'numpy.ndarray'>
(150, 9)
[ 2.          7.4000001   2.79999995  6.0999999   1.89999998  1.          2.
  2.          0.        ]






Converting heart_disease with toNumpy failed (as it should)
Call 'to_numeric_MA' failed
Call 'to_numarray_MA' failed
<class 'numpy.ma.core.MaskedArray'>
[63.0 1.0 3.0 145.0 233.0 1.0 1.0 150.0 0.0 2.29999995232 2.0 0.0 2.0]
Exception thrown for 'to_numeric'

Exception thrown for 'to_numarray'

<FloatVariable 'a1', FloatVariable 'a2', FloatVariable 'a3', FloatVariable 'a4', FloatVariable 'a5'> None
[5.100, 3.500, 1.400, 0.200, 0.000]
<FloatVariable 'sepal length', FloatVariable 'sepal width', FloatVariable 'petal length', FloatVariable 'petal width'> EnumVariable 'iris'
[5.1, 3.5, 1.4, 0.2, 'Iris-setosa']
<FloatVariable 'sep length', FloatVariable 'sep width', FloatVariable 'pet length', FloatVariable 'pet width'> EnumVariable 'type'
[5.100, 3.500, 1.400, 0.200, 'setosa']

/home/miha/work/orange/Orange/testing/regression/xtest_one.py:76: KernelWarning: attribute 'name' is of unsupported type
  # Arguments: name, #iterations, runNo, isNewFile, outputsdir
[[  1.00000000e+00   0.00000000e+00   0.00000000e+00 ...,   0.00000000e+00
    1.00000000e+00  -1.00000002e+30]
 [  1.00000000e+00   0.00000000e+00   0.00000000e+00 ...,   0.00000000e+00
    1.00000000e+00  -1.00000002e+30]
 [  0.00000000e+00   0.00000000e+00   1.00000000e+00 ...,   0.00000000e+00
    0.00000000e+00  -1.00000002e+30]
 ..., 
 [  1.00000000e+00   0.00000000e+00   0.00000000e+00 ...,   0.00000000e+00
    1.00000000e+00  -1.00000002e+30]
 [  0.00000000e+00   0.00000000e+00   1.00000000e+00 ...,   0.00000000e+00
    0.00000000e+00  -1.00000002e+30]
 [  0.00000000e+00   1.00000000e+00   1.00000000e+00 ...,   0.00000000e+00
    0.00000000e+00  -1.00000002e+30]]
