def test_dynd_view_of_numpy_array(self):
# Tests viewing a numpy array as a dynd.array
nonnative = self.nonnative
a = np.arange(10, dtype=np.int32)
n = nd.view(a)
self.assertEqual(nd.dtype_of(n), ndt.int32)
self.assertEqual(nd.ndim_of(n), a.ndim)
self.assertEqual(n.shape, a.shape)
self.assertEqual(n.strides, a.strides)
a = np.arange(12, dtype=(nonnative + 'i4')).reshape(3,4)
n = nd.view(a)
self.assertEqual(nd.dtype_of(n), ndt.make_byteswap(ndt.int32))
self.assertEqual(nd.ndim_of(n), a.ndim)
self.assertEqual(n.shape, a.shape)
self.assertEqual(n.strides, a.strides)
a = np.arange(49, dtype='i1')
a = a[1:].view(dtype=np.int32).reshape(4,3)
n = nd.view(a)
self.assertEqual(nd.dtype_of(n), ndt.make_unaligned(ndt.int32))
self.assertEqual(nd.ndim_of(n), a.ndim)
self.assertEqual(n.shape, a.shape)
self.assertEqual(n.strides, a.strides)
a = np.arange(49, dtype='i1')
a = a[1:].view(dtype=(nonnative + 'i4')).reshape(2,2,3)
n = nd.view(a)
self.assertEqual(nd.dtype_of(n),
ndt.make_unaligned(ndt.make_byteswap(ndt.int32)))
self.assertEqual(nd.ndim_of(n), a.ndim)
self.assertEqual(n.shape, a.shape)
self.assertEqual(n.strides, a.strides)
def test_ndt_type_as_numpy(self):
self.assertEqual(ndt.bool.as_numpy(), np.dtype('bool'))
self.assertEqual(ndt.int8.as_numpy(), np.dtype('int8'))
self.assertEqual(ndt.int16.as_numpy(), np.dtype('int16'))
self.assertEqual(ndt.int32.as_numpy(), np.dtype('int32'))
self.assertEqual(ndt.int64.as_numpy(), np.dtype('int64'))
self.assertEqual(ndt.uint8.as_numpy(), np.dtype('uint8'))
self.assertEqual(ndt.uint16.as_numpy(), np.dtype('uint16'))
self.assertEqual(ndt.uint32.as_numpy(), np.dtype('uint32'))
self.assertEqual(ndt.uint64.as_numpy(), np.dtype('uint64'))
self.assertEqual(ndt.float32.as_numpy(), np.dtype('float32'))
self.assertEqual(ndt.float64.as_numpy(), np.dtype('float64'))
self.assertEqual(ndt.complex_float32.as_numpy(), np.dtype('complex64'))
self.assertEqual(ndt.complex_float64.as_numpy(), np.dtype('complex128'))
# nonnative byte order
nonnative = self.nonnative
self.assertEqual(ndt.make_byteswap(ndt.int16).as_numpy(),
np.dtype(nonnative + 'i2'))
self.assertEqual(ndt.make_byteswap(ndt.float64).as_numpy(),
np.dtype(nonnative + 'f8'))
# aligned struct
tp0 = ndt.type('c{x : int32, y : int64}').as_numpy()
tp1 = np.dtype([('x', np.int32), ('y', np.int64)], align=True)
self.assertEqual(tp0, tp1)
# unaligned struct
tp0 = ndt.make_cstruct([ndt.make_unaligned(ndt.int32),
ndt.make_unaligned(ndt.int64)],
['x', 'y']).as_numpy()
tp1 = np.dtype([('x', np.int32), ('y', np.int64)])
self.assertEqual(tp0, tp1)
# check some types which can't be converted
self.assertRaises(TypeError, ndt.date.as_numpy)
self.assertRaises(TypeError, ndt.datetime.as_numpy)
self.assertRaises(TypeError, ndt.bytes.as_numpy)
self.assertRaises(TypeError, ndt.string.as_numpy)
def test_dynd_view_of_numpy_array(self):
# Tests viewing a numpy array as a dynd.array
nonnative = self.nonnative
a = np.arange(10, dtype=np.int32)
n = nd.view(a)
self.assertEqual(nd.dtype_of(n), ndt.int32)
self.assertEqual(nd.ndim_of(n), a.ndim)
self.assertEqual(n.shape, a.shape)
self.assertEqual(n.strides, a.strides)
a = np.arange(12, dtype=(nonnative + 'i4')).reshape(3, 4)
n = nd.view(a)
self.assertEqual(nd.dtype_of(n), ndt.make_byteswap(ndt.int32))
self.assertEqual(nd.ndim_of(n), a.ndim)
self.assertEqual(n.shape, a.shape)
self.assertEqual(n.strides, a.strides)
a = np.arange(49, dtype='i1')
a = a[1:].view(dtype=np.int32).reshape(4, 3)
n = nd.view(a)
self.assertEqual(nd.dtype_of(n), ndt.make_unaligned(ndt.int32))
self.assertEqual(nd.ndim_of(n), a.ndim)
self.assertEqual(n.shape, a.shape)
self.assertEqual(n.strides, a.strides)
a = np.arange(49, dtype='i1')
a = a[1:].view(dtype=(nonnative + 'i4')).reshape(2, 2, 3)
n = nd.view(a)
self.assertEqual(nd.dtype_of(n),
ndt.make_unaligned(ndt.make_byteswap(ndt.int32)))
self.assertEqual(nd.ndim_of(n), a.ndim)
self.assertEqual(n.shape, a.shape)
self.assertEqual(n.strides, a.strides)
def test_ndt_type_from_numpy_dtype_struct(self):
# aligned struct
tp0 = ndt.type(np.dtype([('x', np.int32), ('y', np.int64)],
align=True))
tp1 = ndt.type('c{x : int32, y : int64}')
self.assertEqual(tp0, tp1)
# unaligned struct
tp0 = ndt.type(np.dtype([('x', np.int32), ('y', np.int64)]))
tp1 = ndt.make_cstruct([ndt.make_unaligned(ndt.int32),
ndt.make_unaligned(ndt.int64)],
['x', 'y'])
self.assertEqual(tp0, tp1)
def test__type_from_numpy_dtype_struct(self):
# aligned struct
tp0 = ndt.type(np.dtype([('x', np.int32), ('y', np.int64)],
align=True))
tp1 = ndt.type('{x : int32, y : int64}')
self.assertEqual(tp0, tp1)
# unaligned struct
tp0 = ndt.type(np.dtype([('x', np.int32), ('y', np.int64)]))
tp1 = ndt.make_struct([ndt.make_unaligned(ndt.int32),
ndt.make_unaligned(ndt.int64)],
['x', 'y'])
self.assertEqual(tp0, tp1)