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Split tests for different channel numbers into separate functions

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This commit is contained in:
Johannes Schönberger
2012-10-09 08:02:43 +02:00
committed by Stefan van der Walt
parent 4bfd4f92ce
commit 9741ac7c2f
1 changed files with 12 additions and 12 deletions
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skimage/transform/tests/test_pyramids.py
+12 -12
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@@ -7,39 +7,39 @@ image = data.lena()
image_gray = image[..., 0]
def test_pyramid_reduce():
# RGB image
def test_pyramid_reduce_rgb():
rows, cols, dim = image.shape
out = pyramids.pyramid_reduce(image, downscale=2)
assert_array_equal(out.shape, (rows / 2, cols / 2, dim))
# grayscale image
def test_pyramid_reduce_gray():
rows, cols = image_gray.shape
out = pyramids.pyramid_reduce(image_gray, downscale=2)
assert_array_equal(out.shape, (rows / 2, cols / 2))
def test_pyramid_expand():
# RGB image
def test_pyramid_expand_rgb():
rows, cols, dim = image.shape
out = pyramids.pyramid_expand(image, upscale=2)
assert_array_equal(out.shape, (rows * 2, cols * 2, dim))
# grayscale image
def test_pyramid_expand_gray():
rows, cols = image_gray.shape
out = pyramids.pyramid_expand(image_gray, upscale=2)
assert_array_equal(out.shape, (rows * 2, cols * 2))
def test_build_gaussian_pyramid():
# RGB image
def test_build_gaussian_pyramid_rgb():
rows, cols, dim = image.shape
pyramid = pyramids.pyramid_gaussian(image, downscale=2)
for layer, out in enumerate(pyramid):
layer_shape = (rows / 2 ** layer, cols / 2 ** layer, dim)
assert_array_equal(out.shape, layer_shape)
# grayscale image
def test_build_gaussian_pyramid_gray():
rows, cols = image_gray.shape
pyramid = pyramids.pyramid_gaussian(image_gray, downscale=2)
for layer, out in enumerate(pyramid):
@@ -47,15 +47,15 @@ def test_build_gaussian_pyramid():
assert_array_equal(out.shape, layer_shape)
def test_build_laplacian_pyramid():
# RGB image
def test_build_laplacian_pyramid_rgb():
rows, cols, dim = image.shape
pyramid = pyramids.pyramid_laplacian(image, downscale=2)
for layer, out in enumerate(pyramid):
layer_shape = (rows / 2 ** layer, cols / 2 ** layer, dim)
assert_array_equal(out.shape, layer_shape)
# grayscale image
def test_build_laplacian_pyramid_gray():
rows, cols = image_gray.shape
pyramid = pyramids.pyramid_laplacian(image_gray, downscale=2)
for layer, out in enumerate(pyramid):