Exemple #1
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 def test_grey(self):
     with expected_warnings(['precision loss']):
         tmp = np.arange(12, dtype=float).reshape((4, 3)) / 11
         x = prepare_for_display(tmp)
     assert_array_equal(x[..., 0], x[..., 2])
     assert x[0, 0, 0] == 0
     assert x[3, 2, 0] == 255
Exemple #2
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 def test_grey(self):
     x = prepare_for_display(np.arange(12, dtype=float).reshape((4, 3)) / 11)
     assert_array_equal(x[..., 0], x[..., 2])
     assert x[0, 0, 0] == 0
     assert x[3, 2, 0] == 255
Exemple #3
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 def test_dtype(self):
     x = prepare_for_display(np.random.random((10, 15)))
     assert x.dtype == np.dtype(np.uint8)
Exemple #4
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 def test_wrong_depth(self):
     with testing.raises(ValueError):
         with expected_warnings(['precision loss']):
             prepare_for_display(np.random.rand(10, 10, 5))
Exemple #5
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 def test_wrong_dimensionality(self):
     with expected_warnings(['precision loss']):
         prepare_for_display(np.random.rand(10, 10, 1, 1))
Exemple #6
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 def test_basic(self):
     prepare_for_display(np.random.random((10, 10)))
Exemple #7
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 def test_alpha(self):
     prepare_for_display(np.random.random((10, 10, 4)))
Exemple #8
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 def test_wrong_dimensionality(self):
     prepare_for_display(np.random.random((10, 10, 1, 1)))
Exemple #9
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 def test_grey(self):
     x = prepare_for_display(np.arange(12, dtype=float).reshape((4, 3)) / 11)
     assert_array_equal(x[..., 0], x[..., 2])
     assert x[0, 0, 0] == 0
     assert x[3, 2, 0] == 255
Exemple #10
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 def test_colour(self):
     prepare_for_display(np.random.random((10, 10, 3)))
Exemple #11
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 def test_dtype(self):
     x = prepare_for_display(np.random.random((10, 15)))
     assert x.dtype == np.dtype(np.uint8)
Exemple #12
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 def test_wrong_depth(self):
     with testing.raises(ValueError):
         prepare_for_display(np.random.rand(10, 10, 5))
Exemple #13
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 def test_wrong_dimensionality(self):
     with testing.raises(ValueError):
         prepare_for_display(np.random.rand(10, 10, 1, 1))
Exemple #14
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 def test_colour(self):
     prepare_for_display(np.random.random((10, 10, 3)))
Exemple #15
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 def test_wrong_dimensionality(self):
     prepare_for_display(np.random.random((10, 10, 1, 1)))
Exemple #16
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 def test_alpha(self):
     prepare_for_display(np.random.random((10, 10, 4)))
Exemple #17
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 def test_wrong_depth(self):
     prepare_for_display(np.random.random((10, 10, 5)))
Exemple #18
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 def test_wrong_depth(self):
     prepare_for_display(np.random.random((10, 10, 5)))
Exemple #19
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 def test_basic(self):
     prepare_for_display(np.random.random((10, 10)))
Exemple #20
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 def test_dtype(self):
     with expected_warnings(['precision loss']):
         x = prepare_for_display(np.random.rand(10, 15))
     assert x.dtype == np.dtype(np.uint8)
Exemple #21
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 def test_basic(self):
     with expected_warnings(['precision loss']):
         prepare_for_display(np.random.rand(10, 10))
Exemple #22
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 def test_alpha(self):
     with expected_warnings(['precision loss']):
         prepare_for_display(np.random.rand(10, 10, 4))
Exemple #23
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 def test_dtype(self):
     with expected_warnings(['precision loss']):
         x = prepare_for_display(np.random.rand(10, 15))
     assert x.dtype == np.dtype(np.uint8)
Exemple #24
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 def test_wrong_depth(self):
     with expected_warnings(['precision loss']):
         prepare_for_display(np.random.rand(10, 10, 5))
Exemple #25
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 def test_wrong_dimensionality(self):
     with expected_warnings(['precision loss']):
         prepare_for_display(np.random.rand(10, 10, 1, 1))