40 lines
1.1 KiB
Python
40 lines
1.1 KiB
Python
import numpy as np
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from skimage.util import unique_rows
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from skimage._shared import testing
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from skimage._shared.testing import assert_equal
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def test_discontiguous_array():
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ar = np.array([[1, 0, 1], [0, 1, 0], [1, 0, 1]], np.uint8)
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ar = ar[::2]
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ar_out = unique_rows(ar)
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desired_ar_out = np.array([[1, 0, 1]], np.uint8)
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assert_equal(ar_out, desired_ar_out)
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def test_uint8_array():
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ar = np.array([[1, 0, 1], [0, 1, 0], [1, 0, 1]], np.uint8)
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ar_out = unique_rows(ar)
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desired_ar_out = np.array([[0, 1, 0], [1, 0, 1]], np.uint8)
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assert_equal(ar_out, desired_ar_out)
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def test_float_array():
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ar = np.array([[1.1, 0.0, 1.1], [0.0, 1.1, 0.0], [1.1, 0.0, 1.1]],
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float)
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ar_out = unique_rows(ar)
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desired_ar_out = np.array([[0.0, 1.1, 0.0], [1.1, 0.0, 1.1]], float)
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assert_equal(ar_out, desired_ar_out)
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def test_1d_array():
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ar = np.array([1, 0, 1, 1], np.uint8)
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with testing.raises(ValueError):
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unique_rows(ar)
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def test_3d_array():
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ar = np.arange(8).reshape((2, 2, 2))
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with testing.raises(ValueError):
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unique_rows(ar)
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