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Fixed database typo and removed unnecessary class identifier.

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Batuhan Berk Başoğlu 2020-10-14 10:10:37 -04:00
parent 00ad49a143
commit 45fb349a7d
5098 changed files with 952558 additions and 85 deletions
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venv/Lib/site-packages/skimage/restoration/tests/test_inpaint.py Normal file
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import numpy as np
from skimage.restoration import inpaint
from skimage._shared import testing
from skimage._shared.testing import assert_allclose
def test_inpaint_biharmonic_2d():
img = np.tile(np.square(np.linspace(0, 1, 5)), (5, 1))
mask = np.zeros_like(img)
mask[2, 2:] = 1
mask[1, 3:] = 1
mask[0, 4:] = 1
img[np.where(mask)] = 0
out = inpaint.inpaint_biharmonic(img, mask)
ref = np.array(
[[0., 0.0625, 0.25000000, 0.5625000, 0.73925058],
[0., 0.0625, 0.25000000, 0.5478048, 0.76557821],
[0., 0.0625, 0.25842878, 0.5623079, 0.85927796],
[0., 0.0625, 0.25000000, 0.5625000, 1.00000000],
[0., 0.0625, 0.25000000, 0.5625000, 1.00000000]]
)
assert_allclose(ref, out)
def test_inpaint_biharmonic_3d():
img = np.tile(np.square(np.linspace(0, 1, 5)), (5, 1))
img = np.dstack((img, img.T))
mask = np.zeros_like(img)
mask[2, 2:, :] = 1
mask[1, 3:, :] = 1
mask[0, 4:, :] = 1
img[np.where(mask)] = 0
out = inpaint.inpaint_biharmonic(img, mask)
ref = np.dstack((
np.array(
[[0.0000, 0.0625, 0.25000000, 0.56250000, 0.53752796],
[0.0000, 0.0625, 0.25000000, 0.44443780, 0.53762210],
[0.0000, 0.0625, 0.23693666, 0.46621112, 0.68615592],
[0.0000, 0.0625, 0.25000000, 0.56250000, 1.00000000],
[0.0000, 0.0625, 0.25000000, 0.56250000, 1.00000000]]),
np.array(
[[0.0000, 0.0000, 0.00000000, 0.00000000, 0.19621902],
[0.0625, 0.0625, 0.06250000, 0.17470756, 0.30140091],
[0.2500, 0.2500, 0.27241289, 0.35155440, 0.43068654],
[0.5625, 0.5625, 0.56250000, 0.56250000, 0.56250000],
[1.0000, 1.0000, 1.00000000, 1.00000000, 1.00000000]])
))
assert_allclose(ref, out)
def test_invalid_input():
img, mask = np.zeros([]), np.zeros([])
with testing.raises(ValueError):
inpaint.inpaint_biharmonic(img, mask)
img, mask = np.zeros((2, 2)), np.zeros((4, 1))
with testing.raises(ValueError):
inpaint.inpaint_biharmonic(img, mask)
img = np.ma.array(np.zeros((2, 2)), mask=[[0, 0], [0, 0]])
mask = np.zeros((2, 2))
with testing.raises(TypeError):
inpaint.inpaint_biharmonic(img, mask)