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)
class Test__apply_axes_mapping(unittest.TestCase):
def setUp(self):
self.zeros = ConstantArray([10, 20, 40, 50])
self.a = TransposedArray(self.zeros, [1, 3, 0, 2])
def test_too_few_dims(self):
msg = 'length 3, but should be of length 4'
with self.assertRaisesRegexp(ValueError, msg):
self.a._apply_axes_mapping(list('abc'))
def test_correct_n_dims(self):
r = self.a._apply_axes_mapping(list('abcd'))
self.assertEqual(r, ('b', 'd', 'a', 'c'))
def test_inverse(self):
r = self.a._apply_axes_mapping(list('bdac'), inverse=True)
self.assertEqual(r, tuple('abcd'))
def test_too_many_dims(self):
msg = 'length 5, but should be of length 4'
with self.assertRaisesRegexp(ValueError, msg):
self.a._apply_axes_mapping(list('abcde'))
class Test__apply_axes_mapping(unittest.TestCase):
def setUp(self):
self.zeros = ConstantArray([10, 20, 40, 50])
self.a = TransposedArray(self.zeros, [1, 3, 0, 2])
def test_too_few_dims(self):
msg = 'length 3, but should be of length 4'
with six.assertRaisesRegex(self, ValueError, msg):
self.a._apply_axes_mapping(list('abc'))
def test_correct_n_dims(self):
r = self.a._apply_axes_mapping(list('abcd'))
self.assertEqual(r, ('b', 'd', 'a', 'c'))
def test_inverse(self):
r = self.a._apply_axes_mapping(list('bdac'), inverse=True)
self.assertEqual(r, tuple('abcd'))
def test_too_many_dims(self):
msg = 'length 5, but should be of length 4'
with six.assertRaisesRegex(self, ValueError, msg):
self.a._apply_axes_mapping(list('abcde'))
def setUp(self):
self.zeros = ConstantArray([10, 20, 40, 50])
self.a = TransposedArray(self.zeros, [1, 3, 0, 2])
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 transposed_shape(self, shape, axes):
return TransposedArray(ConstantArray(shape), axes).shape
def setUp(self):
self.zeros = ConstantArray([10, 20, 40, 50])
self.a = TransposedArray(self.zeros, [1, 3, 0, 2])
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))
