def test_nested_newaxes(self):
# Currently it is possible to nest NewAxesArrays. It would be
# nice if this weren't the case.
orig = np.empty([3])
array1 = NewAxesArray(orig, [1, 0])
array2 = NewAxesArray(array1, [0, 0, 2])
self.assertEqual(array2.shape, (1, 3, 1, 1))
self.assertIs(array2.array, array1)
def test_0d(self):
array = NewAxesArray(np.array(0), [3])
self.assertEqual(array.shape, (1, 1, 1))
def test_right_only_new_axes(self):
in_arr = ConstantArray([3, 2])
array = NewAxesArray(in_arr, [0, 0, 2])
self.assertEqual(array.shape, (3, 2, 1, 1))
def test_left_only_new_axes(self):
in_arr = ConstantArray([3, 2])
array = NewAxesArray(in_arr, [1, 0, 0])
self.assertEqual(array.shape, (1, 3, 2))
def test_many_new_axes(self):
in_arr = ConstantArray([3, 2])
array = NewAxesArray(in_arr, [3, 1, 2])
self.assertEqual(array.shape, (1, 1, 1, 3, 1, 2, 1, 1))
def test_no_new_axes(self):
in_arr = ConstantArray([3, 1])
array = NewAxesArray(in_arr, [0, 0, 0])
self.assertEqual(array.shape, (3, 1))
def test_successful_attribute(self):
in_arr = ConstantArray([3, 1])
array = NewAxesArray(in_arr, [2, 0, 4])
self.assertIs(array.array, in_arr)
self.assertIsInstance(array._new_axes, np.ndarray)
self.assertEqual(list(array._new_axes), [2, 0, 4])
def test_0d(self):
array = NewAxesArray(np.array(0), [3])
self.assertEqual(list(array._new_axes), [3])
def test_too_many_axes(self):
in_arr = ConstantArray([3, 2])
msg = 'must have length 3 but was actually length 4'
with self.assertRaisesRegexp(ValueError, msg):
array = NewAxesArray(in_arr, [1, 2, 0, 1])
def test_new_axes_negative(self):
in_arr = ConstantArray([1, 2])
msg = 'Only positive integer types may be used for new_axes.'
with self.assertRaisesRegexp(ValueError, msg):
array = NewAxesArray(in_arr, [-1, 0, 1])
def test_numpy_array(self):
array = NewAxesArray(np.arange(24), [1, 2])
self.assertIsInstance(array.masked_array(), np.ma.MaskedArray)
assert_array_equal(array.masked_array(),
np.arange(24).reshape(1, 24, 1, 1))
def setUp(self):
self.array = NewAxesArray(np.arange(24).reshape(4, 3, 2), [1, 2, 0, 1])
self.array_3d = NewAxesArray(np.arange(3), [1, 1])
def assert_newaxis_keys(self, shape, new_axes, expected):
in_arr = ConstantArray(shape)
array = NewAxesArray(in_arr, new_axes)
keys = array._newaxis_keys()
self.assertEqual(keys, expected)
def test_numpy_array(self):
array = NewAxesArray(np.arange(24), [1, 2])
self.assertIsInstance(array.masked_array(), np.ma.MaskedArray)
assert_array_equal(array.masked_array(),
np.arange(24).reshape(1, 24, 1, 1))
def assert_newaxis_keys(self, shape, new_axes, expected):
in_arr = ConstantArray(shape)
array = NewAxesArray(in_arr, new_axes)
keys = array._newaxis_keys()
self.assertEqual(keys, expected)
