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ton
2023-10-05 00:01:27 +07:00
parent 1541297f6d
commit 4a987d90c5
12169 changed files with 502 additions and 2656459 deletions
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67
.CondaPkg/env/Lib/site-packages/skimage/util/tests/test_labels.py vendored
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@@ -1,67 +0,0 @@
import numpy as np
from skimage._shared import testing
from skimage._shared.testing import assert_equal
from skimage.util._label import label_points
def test_label_points_coords_dimension():
coords, output_shape = np.array([[1, 2], [3, 4]]), (5, 5, 2)
with testing.raises(ValueError):
label_points(coords, output_shape)
def test_label_points_coords_range():
coords, output_shape = np.array([[0, 0],
[5, 5]]), (5, 5)
with testing.raises(IndexError):
label_points(coords, output_shape)
def test_label_points_coords_negative():
coords, output_shape = np.array([[-1, 0],
[5, 5]]), (5, 5)
with testing.raises(ValueError):
label_points(coords, output_shape)
def test_label_points_two_dimensional_output():
coords, output_shape = np.array([[0, 0],
[1, 1],
[2, 2],
[3, 3],
[4, 4]]), (5, 5)
mask = label_points(coords, output_shape)
assert_equal(mask, np.array([[1, 0, 0, 0, 0],
[0, 2, 0, 0, 0],
[0, 0, 3, 0, 0],
[0, 0, 0, 4, 0],
[0, 0, 0, 0, 5]]))
def test_label_points_multi_dimensional_output():
coords, output_shape = np.array([[0, 0, 0],
[1, 1, 1],
[2, 2, 2],
[3, 3, 0],
[4, 4, 1]]), (5, 5, 3)
mask = label_points(coords, output_shape)
result = np.array([
[
[1, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]
],
[
[0, 0, 0], [0, 2, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]
],
[
[0, 0, 0], [0, 0, 0], [0, 0, 3], [0, 0, 0], [0, 0, 0]
],
[
[0, 0, 0], [0, 0, 0], [0, 0, 0], [4, 0, 0], [0, 0, 0]
],
[
[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 5, 0]
]
])
assert_equal(mask, result)