import numpy as np from skimage._shared import testing from skimage._shared.testing import assert_equal, assert_warns from skimage.util.shape import view_as_blocks, view_as_windows def test_view_as_blocks_block_not_a_tuple(): A = np.arange(10) with testing.raises(TypeError): view_as_blocks(A, [5]) def test_view_as_blocks_negative_shape(): A = np.arange(10) with testing.raises(ValueError): view_as_blocks(A, (-2,)) def test_view_as_blocks_block_too_large(): A = np.arange(10) with testing.raises(ValueError): view_as_blocks(A, (11,)) def test_view_as_blocks_wrong_block_dimension(): A = np.arange(10) with testing.raises(ValueError): view_as_blocks(A, (2, 2)) def test_view_as_blocks_1D_array_wrong_block_shape(): A = np.arange(10) with testing.raises(ValueError): view_as_blocks(A, (3,)) def test_view_as_blocks_1D_array(): A = np.arange(10) B = view_as_blocks(A, (5,)) assert_equal(B, np.array([[0, 1, 2, 3, 4], [5, 6, 7, 8, 9]])) def test_view_as_blocks_2D_array(): A = np.arange(4 * 4).reshape(4, 4) B = view_as_blocks(A, (2, 2)) assert_equal(B[0, 1], np.array([[2, 3], [6, 7]])) assert_equal(B[1, 0, 1, 1], 13) def test_view_as_blocks_3D_array(): A = np.arange(4 * 4 * 6).reshape(4, 4, 6) B = view_as_blocks(A, (1, 2, 2)) assert_equal(B.shape, (4, 2, 3, 1, 2, 2)) assert_equal(B[2:, 0, 2], np.array([[[[52, 53], [58, 59]]], [[[76, 77], [82, 83]]]])) def test_view_as_windows_input_not_array(): A = [1, 2, 3, 4, 5] with testing.raises(TypeError): view_as_windows(A, (2,)) def test_view_as_windows_wrong_window_dimension(): A = np.arange(10) with testing.raises(ValueError): view_as_windows(A, (2, 2)) def test_view_as_windows_negative_window_length(): A = np.arange(10) with testing.raises(ValueError): view_as_windows(A, (-1,)) def test_view_as_windows_window_too_large(): A = np.arange(10) with testing.raises(ValueError): view_as_windows(A, (11,)) def test_view_as_windows_step_below_one(): A = np.arange(10) with testing.raises(ValueError): view_as_windows(A, (11,), step=0.9) def test_view_as_windows_1D(): A = np.arange(10) window_shape = (3,) B = view_as_windows(A, window_shape) assert_equal(B, np.array([[0, 1, 2], [1, 2, 3], [2, 3, 4], [3, 4, 5], [4, 5, 6], [5, 6, 7], [6, 7, 8], [7, 8, 9]])) def test_view_as_windows_2D(): A = np.arange(5 * 4).reshape(5, 4) window_shape = (4, 3) B = view_as_windows(A, window_shape) assert_equal(B.shape, (2, 2, 4, 3)) assert_equal(B, np.array([[[[0, 1, 2], [4, 5, 6], [8, 9, 10], [12, 13, 14]], [[1, 2, 3], [5, 6, 7], [9, 10, 11], [13, 14, 15]]], [[[4, 5, 6], [8, 9, 10], [12, 13, 14], [16, 17, 18]], [[5, 6, 7], [9, 10, 11], [13, 14, 15], [17, 18, 19]]]])) def test_view_as_windows_with_skip(): A = np.arange(20).reshape((5, 4)) B = view_as_windows(A, 2, step=2) assert_equal(B, [[[[0, 1], [4, 5]], [[2, 3], [6, 7]]], [[[8, 9], [12, 13]], [[10, 11], [14, 15]]]]) C = view_as_windows(A, 2, step=4) assert_equal(C.shape, (1, 1, 2, 2)) def test_views_non_contiguous(): A = np.arange(16).reshape((4, 4)) A = A[::2, :] res_b = view_as_blocks(A, (2, 2)) res_w = view_as_windows(A, (2, 2)) print(res_b) print(res_w) expected_b = [[[[0, 1], [8, 9]], [[2, 3], [10, 11]]]] expected_w = [[[[ 0, 1], [ 8, 9]], [[ 1, 2], [ 9, 10]], [[ 2, 3], [10, 11]]]] assert_equal(res_b, expected_b) assert_equal(res_w, expected_w) def test_view_as_windows_step_tuple(): A = np.arange(24).reshape((6, 4)) B = view_as_windows(A, (3, 2), step=3) assert B.shape == (2, 1, 3, 2) assert B.size != A.size C = view_as_windows(A, (3, 2), step=(3, 2)) assert C.shape == (2, 2, 3, 2) assert C.size == A.size assert_equal(C, [[[[0, 1], [4, 5], [8, 9]], [[2, 3], [6, 7], [10, 11]]], [[[12, 13], [16, 17], [20, 21]], [[14, 15], [18, 19], [22, 23]]]])