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Use NORMALIZE_WHITESPACE directive for block_reduce doctest

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Johannes Schönberger
2013-11-03 09:49:48 +01:00
parent 41d12463fd
commit 45eae57b4c
1 changed files with 5 additions and 7 deletions
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skimage/measure/block.py
+5 -7
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@@ -28,27 +28,25 @@ def block_reduce(image, block_size, func=np.sum, cval=0):
--------
>>> from skimage.measure import block_reduce
>>> image = np.arange(3*3*4).reshape(3, 3, 4)
>>> image
>>> image # doctest: +NORMALIZE_WHITESPACE
array([[[ 0, 1, 2, 3],
[ 4, 5, 6, 7],
[ 8, 9, 10, 11]],
<BLANKLINE>
[[12, 13, 14, 15],
[16, 17, 18, 19],
[20, 21, 22, 23]],
<BLANKLINE>
[[24, 25, 26, 27],
[28, 29, 30, 31],
[32, 33, 34, 35]]])
>>> block_reduce(image, block_size=(3, 3, 1), func=np.mean)
array([[[ 16., 17., 18., 19.]]])
>>> block_reduce(image, block_size=(1, 3, 4), func=np.max)
>>> image_max1 = block_reduce(image, block_size=(1, 3, 4), func=np.max)
>>> image_max1 # doctest: +NORMALIZE_WHITESPACE
array([[[11]],
<BLANKLINE>
[[23]],
<BLANKLINE>
[[35]]])
>>> block_reduce(image, block_size=(3, 1, 4), func=np.max)
>>> image_max2 = block_reduce(image, block_size=(3, 1, 4), func=np.max)
>>> image_max2 # doctest: +NORMALIZE_WHITESPACE
array([[[27],
[31],
[35]]])