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Update test cases for block functions

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This commit is contained in:
Johannes Schönberger
2013-07-05 09:28:28 +02:00
parent 5579aa2298
commit c0a019eb12
2 changed files with 65 additions and 4 deletions
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skimage/measure/tests/test_blocks.py
+62 -1
View File
@@ -1,6 +1,7 @@
import numpy as np
from numpy.testing import assert_array_equal
from skimage.measure import block_sum
from skimage.measure import (block_sum, block_mean, block_median, block_min,
block_max)
def test_block_sum():
@@ -17,5 +18,65 @@ def test_block_sum():
assert_array_equal(expected2, out2)
def test_block_mean():
image1 = np.arange(4 * 6).reshape(4, 6)
out1 = block_mean(image1, (2, 3))
expected1 = np.array([[ 4., 7.],
[ 16., 19.]])
assert_array_equal(expected1, out1)
image2 = np.arange(5 * 8).reshape(5, 8)
out2 = block_mean(image2, (4, 5))
expected2 = np.array([[14. , 10.8],
[ 8.5, 5.7]])
assert_array_equal(expected2, out2)
def test_block_median():
image1 = np.arange(4 * 6).reshape(4, 6)
out1 = block_median(image1, (2, 3))
expected1 = np.array([[ 4., 7.],
[ 16., 19.]])
assert_array_equal(expected1, out1)
image2 = np.arange(5 * 8).reshape(5, 8)
out2 = block_median(image2, (4, 5))
expected2 = np.array([[ 14., 17.],
[ 0., 0.]])
assert_array_equal(expected2, out2)
image3 = np.array([[1, 5, 5, 5], [5, 5, 5, 1000]])
out3 = block_median(image3, (2, 4))
assert_array_equal(5, out3)
def test_block_min():
image1 = np.arange(4 * 6).reshape(4, 6)
out1 = block_min(image1, (2, 3))
expected1 = np.array([[ 0, 3],
[12, 15]])
assert_array_equal(expected1, out1)
image2 = np.arange(5 * 8).reshape(5, 8)
out2 = block_min(image2, (4, 5))
expected2 = np.array([[0, 0],
[0, 0]])
assert_array_equal(expected2, out2)
def test_block_max():
image1 = np.arange(4 * 6).reshape(4, 6)
out1 = block_max(image1, (2, 3))
expected1 = np.array([[ 8, 11],
[20, 23]])
assert_array_equal(expected1, out1)
image2 = np.arange(5 * 8).reshape(5, 8)
out2 = block_max(image2, (4, 5))
expected2 = np.array([[28, 31],
[36, 39]])
assert_array_equal(expected2, out2)
if __name__ == "__main__":
np.testing.run_module_suite()
skimage/transform/tests/test_warps.py
+3 -3
View File
@@ -196,13 +196,13 @@ def test_warp_coords_example():
def test_downscale_local_mean():
"""Verifying downsampling of an array with expected result in mean mode"""
image1 = np.arange(4*6).reshape(4, 6)
image1 = np.arange(4 * 6).reshape(4, 6)
out1 = downscale_local_mean(image1, (2, 3))
expected1 = np.array([[ 4., 7.],
[ 16., 19.]])
assert_array_equal(expected1, out1)
image2 = np.arange(5*8).reshape(5, 8)
image2 = np.arange(5 * 8).reshape(5, 8)
out2 = downscale_local_mean(image2, (4, 5))
expected2 = np.array([[ 14. , 10.8],
[ 8.5, 5.7]])