def test_repr(self):
self.zeros = ConstantArray([10, 20, 40, 50])
self.a = TransposedArray(self.zeros, [1, 3, 0, 2])
expected = ("TransposedArray(<ConstantArray shape=(10, 20, 40, 50) "
"dtype=dtype('float64')>, [1, 3, 0, 2])")
self.assertEqual(repr(self.a), expected)
def setUp(self):
self.orig_array = np.empty([5, 6, 4, 7])
self.arr_transposed = self.orig_array.transpose([1, 3, 0, 2])
self.a = TransposedArray(self.orig_array, [1, 3, 0, 2])
self.expected_shape = (6, 7, 5, 4)
def setUp(self):
self.zeros = ConstantArray([10, 20, 40, 50])
self.a = TransposedArray(self.zeros, [1, 3, 0, 2])
def transposed_shape(self, shape, axes):
return TransposedArray(ConstantArray(shape), axes).shape
def test_axes_non_list(self):
arr = TransposedArray(self.orig_array, tuple(self.a.axes))
result = arr[:2, 0, :, np.newaxis, :]
self.assertEqual(result.shape, (2, 5, 1, 4))
