60 lines
1.8 KiB
Python
60 lines
1.8 KiB
Python
import numpy as np
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from skimage._shared import testing
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from skimage._shared.testing import assert_equal
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from skimage.util._label import label_points
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def test_label_points_coords_dimension():
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coords, output_shape = np.array([[1, 2], [3, 4]]), (5, 5, 2)
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with testing.raises(ValueError):
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label_points(coords, output_shape)
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def test_label_points_coords_range():
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coords, output_shape = np.array([[0, 0], [5, 5]]), (5, 5)
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with testing.raises(IndexError):
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label_points(coords, output_shape)
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def test_label_points_coords_negative():
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coords, output_shape = np.array([[-1, 0], [5, 5]]), (5, 5)
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with testing.raises(ValueError):
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label_points(coords, output_shape)
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def test_label_points_two_dimensional_output():
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coords, output_shape = np.array([[0, 0], [1, 1], [2, 2], [3, 3], [4, 4]]), (5, 5)
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mask = label_points(coords, output_shape)
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assert_equal(
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mask,
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np.array(
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[
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[1, 0, 0, 0, 0],
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[0, 2, 0, 0, 0],
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[0, 0, 3, 0, 0],
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[0, 0, 0, 4, 0],
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[0, 0, 0, 0, 5],
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]
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),
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)
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def test_label_points_multi_dimensional_output():
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coords, output_shape = (
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np.array([[0, 0, 0], [1, 1, 1], [2, 2, 2], [3, 3, 0], [4, 4, 1]]),
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(5, 5, 3),
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)
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mask = label_points(coords, output_shape)
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result = np.array(
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[
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[[1, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]],
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[[0, 0, 0], [0, 2, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]],
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[[0, 0, 0], [0, 0, 0], [0, 0, 3], [0, 0, 0], [0, 0, 0]],
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[[0, 0, 0], [0, 0, 0], [0, 0, 0], [4, 0, 0], [0, 0, 0]],
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[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 5, 0]],
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]
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)
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assert_equal(mask, result)
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