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numpy test suite results after merginig numpy-1.10: FAILED (KNOWNFAIL=3, SKIP=18, errors=670, failures=113)
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grep '\(^[A-Z][a-z][a-zA-Z]*:\)\|\(^AssertionError$\)' numpy_test.log |cut -f1,2 -d, | sort |uniq -c |sort -n -r | |
74 AssertionError: | |
45 AttributeError: 'numpy.ndarray' object has no attribute 'partition' | |
42 TypeError: data type not understood | |
29 NotImplementedError: einsum not implemented yet | |
29 NotImplementedError: broadcast not implemented yet | |
25 ValueError: outer product only supported for binary functions | |
24 NotImplementedError: digitize not implemented yet | |
22 TypeError: unsupported operand type(s) for *: 'float64' and 'Polynomial' | |
19 NotImplementedError: bincount not implemented yet | |
18 NotImplementedError: astype(void) not implemented yet | |
17 NotImplementedError: object dtype requested but not implemented | |
17 NotImplementedError: 1-arg where unsupported right now | |
16 AttributeError: 'numpy.ndarray' object has no attribute 'tofile' | |
15 NotImplementedError: _arg not implemented yet | |
15 AttributeError: 'module' object has no attribute 'spacing' | |
14 TypeError: unsupported operand type(s) for *: 'float64' and 'Chebyshev' | |
14 NotImplementedError: resize not implemented yet | |
14 NotImplementedError: fromiter not implemented yet | |
12 NotImplementedError: cannot store object in array with no gc hook | |
12 AssertionError | |
10 IndexError: too many indices for array | |
8 ValueError: axes don't match array | |
8 TypeError: sequence item 1: expected string, list found | |
8 NotImplementedError: sorting of non-numeric types 'void' is not implemented | |
8 NotImplementedError: correlate not implemented yet | |
7 ValueError: setting an array element with a sequence | |
7 TypeError: __array__() takes exactly 1 argument (2 given) | |
7 NotImplementedError: interp not implemented yet | |
6 KeyError: 'Unknown flag' | |
6 AttributeError: 'int' object has no attribute 'tolist' | |
5 TypeError: unsupported operand type(s) for *: 'Polynomial' and 'Polynomial' | |
5 TypeError: unsupported operand type(s) for *: 'Chebyshev' and 'Chebyshev' | |
5 NotImplementedError: mode != raise not implemented | |
5 NameError: global name 'dec' is not defined | |
4 TypeError: 'numpy.int64' object is not iterable | |
4 TypeError: expected integer, got numpy.bool_ object | |
4 NotImplementedError: sorting of non-numeric types 'string' is not implemented | |
4 NotImplementedError: not implemented yet | |
4 NotImplementedError: nextafter not implemented yet | |
4 NotImplementedError: lexsort not implemented yet | |
4 NotImplementedError: hypot not implemented yet | |
4 NotImplementedError: correlate2 not implemented yet | |
4 NotImplementedError: chararray is deprecated | |
4 AttributeError: 'numpy.ndarray' object has no attribute 'domain' | |
4 AttributeError: 'NotImplemented' object has no attribute 'domain' | |
3 ValueError: strides is incompatible with shape of requested array and size of buffer | |
3 TypeError: 'long' object is not iterable | |
3 TypeError: 'int' object is not callable | |
3 TypeError: expected integer, got numpy.ndarray object | |
3 NotImplementedError: reduce for 'object' dtype not supported yet | |
3 NotImplementedError: array(..., subok=True) only partially implemented | |
3 IndexError: unsupported iterator index | |
3 ImportError: No module named numpy.core.multiarray_tests | |
3 AttributeError: 'slice' object has no attribute 'tolist' | |
3 AttributeError: 'numpy.ndarray' object has no attribute 'setflags' | |
3 AttributeError: 'module' object has no attribute 'getrefcount' | |
2 ValueError: incorrect number of indices for array | |
2 UnboundLocalError: local variable 'arr_reloaded' referenced before assignment | |
2 TypeError: unsupported operand type for long(): 'str' | |
2 TypeError: only length-1 arrays can be converted to Python scalars | |
2 TypeError: float() argument must be a string or a number | |
2 TypeError: expected integer, got list object | |
2 TypeError: expected integer, got float object | |
2 TypeError: data type "datetime64[D]" not understood | |
2 NotImplementedError: ravel_multi_index not implemented yet | |
2 NotImplementedError: parameter subok unsupported | |
2 NotImplementedError: ldexp not implemented yet | |
2 NotImplementedError: _insert not implemented yet | |
2 NotImplementedError: fromstring not implemented for record types | |
2 NotImplementedError: fromfile not implemented yet | |
2 NotImplementedError: cannot read object from array with no gc hook | |
2 NotImplementedError: cannot create object array/scalar from lltype | |
2 NotImplementedError: _add_newdoc_ufunc not implemented yet | |
2 KeyError: 'a' | |
2 IndexError: index 3 is out of bounds for axis 0 with size 3 | |
2 AttributeError: recarray has no attribute getfield | |
2 AttributeError: 'numpy.ufunc' object has no attribute 'reduceat' | |
2 AttributeError: 'module' object has no attribute 'datetime64' | |
2 AttributeError: 'module' object has no attribute 'cbrt' | |
2 AttributeError: 'bool' object has no attribute 'tolist' | |
2 AssertionError: ValueError not raised | |
2 AssertionError: False is not true | |
2 AssertionError: 0 != 1 | |
1 ValueError: zero-dimensional arrays cannot be concatenated | |
1 ValueError: probabilities do not sum to 1 | |
1 ValueError: operands could not be broadcast together with shapes (2,) (3 | |
1 ValueError: operands could not be broadcast together with shapes (2,1) (3 | |
1 ValueError: new type not compatible with array. | |
1 ValueError: format number 1 of "[('x', '<i4' | |
1 ValueError: df <= 0 | |
1 ValueError: could not reshape array of size 6 to shape [6] | |
1 ValueError: could not broadcast input array from shape (4,1) into shape (4) | |
1 ValueError: Can't call argmin on zero-size arrays | |
1 ValueError: cannot convert float NaN to integer | |
1 ValueError: an index can only have a single Ellipsis (`...`); replace all but one with slices (`:`). | |
1 TypeError: unsupported operand type(s) for *: 'Polynomial' and 'int' | |
1 TypeError: unsupported operand type(s) for *: 'Chebyshev' and 'int' | |
1 TypeError: sys.getsizeof() not implemented on PyPy | |
1 TypeError: slice indices must be integers or None or have an __index__ method | |
1 TypeError: readonly attribute | |
1 TypeError: Only raw buffers are supported | |
1 TypeError: 'numpy.float64' object is not iterable | |
1 TypeError: 'NoneType' object is not iterable | |
1 TypeError: __new__() takes at most 2 arguments (3 given) | |
1 TypeError: 'long' has no length | |
1 TypeError: 'float' object is not iterable | |
1 TypeError: 'float' object expected, got 'float64' instead | |
1 TypeError: expected string, got list object | |
1 TypeError: expected integer, got str object | |
1 TypeError: expected integer, got NoneType object | |
1 TypeError: data type "timedelta64[D]" not understood | |
1 TypeError: data type "<M8" not understood | |
1 TypeError: data type "<M8[D]" not understood | |
1 TypeError: compress() takes at most 3 arguments (4 given) | |
1 TypeError: can't pickle void objects | |
1 TypeError: can't pickle unicode_ objects | |
1 TypeError: can't pickle string_ objects | |
1 TypeError: buffer is too small for requested array | |
1 RuntimeError: Running f2py failed: ['-m', '_test_ext_module_5403' | |
1 RuntimeError: Running distutils build failed: [] | |
1 RuntimeError: maximum recursion depth exceeded | |
1 RuntimeError: failed dependencies check for /home/buildslave/bot64/numpy-compatibility-linux-x86-64/numpy_src/build/testenv/site-packages/numpy/linalg/lapack_lite.pyc | |
1 RuntimeError: Command "['f2py', '-v']" failed with | |
1 NotImplementedError: unravel_index not implemented yet | |
1 NotImplementedError: unpackbits not implemented yet | |
1 NotImplementedError: sorting of non-numeric types 'float16' is not implemented | |
1 NotImplementedError: remainder not implemented yet | |
1 NotImplementedError: packbits not implemented yet | |
1 NotImplementedError: object dtype cannot unbox <W_VoidBox object at 0x85b8fc0> | |
1 NotImplementedError: <Float64 object at 0x7f790ae541e8> dtype cannot unbox <W_VoidBox object at 0x2f81fb0> | |
1 NameError: global name 'array' is not defined | |
1 IndexError: only integers, slices (`:`) | |
1 IndexError: list index out of range | |
1 ImportError: No module named _numpypy.multiarray | |
1 ImportError: No module named numpy.core.umath_tests | |
1 ImportError: No module named numpy.core.test_rational | |
1 AttributeError: 'str' object has no attribute 'ravel' | |
1 AttributeError: 'numpy.ndarray' object has no attribute 'setfield' | |
1 AttributeError: 'numpy.ndarray' object has no attribute 'argpartition' | |
1 AttributeError: 'numpy.ndarray' object has no attribute '_align' | |
1 AttributeError: 'numpy.ndarray' object has no attribute 'A' | |
1 AttributeError: 'numpy.int64' object has no attribute '__array__' | |
1 AttributeError: 'numpy.float32' object has no attribute '__sizeof__' | |
1 AttributeError: 'MySubClass' object has no attribute 'partition' | |
1 AttributeError: 'MyArray' object has no attribute 'metadata' | |
1 AttributeError: 'module' object has no attribute 'timedelta64' | |
1 AttributeError: 'int' object has no attribute 'dtype' | |
1 AttributeError: 'int' object has no attribute '_align' | |
1 AttributeError: 'Foo' object has no attribute '__gt__' | |
1 AssertionError: UnicodeEncodeError not raised | |
1 AssertionError: OverflowError not raised | |
1 AssertionError: No warning raised when calling multivariate_normal | |
1 AssertionError: No warning raised when calling <lambda> | |
1 AssertionError: No warning raised when calling __getitem__ | |
1 AssertionError: No warning raised when calling float | |
1 AssertionError: No warning raised when calling equal | |
1 AssertionError: No warning raised when calling eq | |
1 AssertionError: None | |
1 AssertionError: IndexError not raised | |
1 AssertionError: Got exception of type <type 'exceptions.TypeError'> instead of ValueError | |
1 AssertionError: Got exception of type <type 'exceptions.OverflowError'> instead of ValueError | |
1 AssertionError: F order not respected | |
1 AssertionError: FloatingPointError not raised | |
1 AssertionError: First warning for __getitem__ is not a <class 'numpy.VisibleDeprecationWarning'>( is {message : VisibleDeprecationWarning('boolean index did not match indexed array along dimension 0; dimension is 5 but corresponding boolean dimension is 1',) | |
1 AssertionError: Did not raise floating point underflow error | |
1 AssertionError: Did not raise divide by zero error | |
1 AssertionError: Did not raise an invalid error | |
1 AssertionError: call is not foo | |
1 AssertionError: argsort | |
1 AssertionError: (147872, 147873) |
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