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scikit-image/skimage/transform/tests/test_integral.py
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Python

import numpy as np
from numpy.testing import assert_equal
from skimage.transform import integral_image, integrate
x = (np.random.random((50, 50)) * 255).astype(np.uint8)
s = integral_image(x)
def test_validity():
y = np.arange(12).reshape((4, 3))
y = (np.random.random((50, 50)) * 255).astype(np.uint8)
assert_equal(integral_image(y)[-1, -1],
y.sum())
def test_basic():
assert_equal(x[12:24, 10:20].sum(), integrate(s, [12, 10], [23, 19]))
assert_equal(x[:20, :20].sum(), integrate(s, [0, 0], [19, 19]))
assert_equal(x[:20, 10:20].sum(), integrate(s, [0, 10], [19, 19]))
assert_equal(x[10:20, :20].sum(), integrate(s, [10, 0], [19, 19]))
def test_single():
assert_equal(x[0, 0], integrate(s, [0, 0], [0, 0]))
assert_equal(x[10, 10], integrate(s, [10, 10], [10, 10]))
if __name__ == '__main__':
from numpy.testing import run_module_suite
run_module_suite()