def test_uints(self):
types = ['uint8', 'uint16', 'uint32', 'uint64']
for type_ in types:
a = blaze.array(np.arange(3), dshape=type_)
dtype = to_numpy_dtype(a.dshape)
self.assertEqual(dtype, np.dtype(type_))
self.assertEqual(dd_as_py(a._data), [0, 1, 2])
def test_complex(self):
types = ['complex64', 'complex128']
for type_ in types:
a = blaze.array(np.arange(3), dshape=type_)
dtype = to_numpy_dtype(a.dshape)
self.assertEqual(dtype, np.dtype(type_))
# dd_as_py does not support complexes yet..
self.assertEqual(dd_as_py(a._data), [0, 1, 2])
def test_floats(self):
types = ['float16', 'float32', 'float64']
for type_ in types:
a = blaze.array(np.arange(3), dshape=type_)
dtype = to_numpy_dtype(a.dshape)
self.assertEqual(dtype, np.dtype(type_))
if type_ != 'float16':
# dd_as_py does not support this yet
self.assertEqual(dd_as_py(a._data), [0, 1, 2])
