Пример #1
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    def test_validate_true_all_values_within_value_range(self):
        arr = np.array([-10, -1, 0, 1, 10, 126, 127], dtype=np.int16)

        arr_clipped = iadt.clip_to_dtype_value_range_(
            np.copy(arr), np.int8, validate=True)

        assert np.array_equal(arr_clipped, arr)
        assert arr_clipped.dtype.name == "int16"
Пример #2
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    def test_clip_to_same_dtype(self):
        arr = np.array([-10, -1, 0, 1, 10, 255, 256], dtype=np.int16)

        arr_clipped = iadt.clip_to_dtype_value_range_(
            np.copy(arr), np.int16, validate=False)

        assert np.array_equal(arr_clipped, arr)
        assert arr_clipped.dtype.name == "int16"
Пример #3
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    def test_clip_to_narrower_dtype(self):
        arr = np.array([-10, -1, 0, 1, 10, 255, 256], dtype=np.int16)

        arr_clipped = iadt.clip_to_dtype_value_range_(
            np.copy(arr), np.int8, validate=False)

        expected = np.array([-10, -1, 0, 1, 10, 127, 127], dtype=np.int16)
        assert np.array_equal(arr_clipped, expected)
        assert arr_clipped.dtype.name == "int16"
Пример #4
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    def test_validate_too_many_values(self):
        arr = np.array([-10, 0, 200], dtype=np.int16)

        with self.assertRaises(AssertionError) as context:
            _ = iadt.clip_to_dtype_value_range_(
                np.copy(arr), np.int8, validate=100)

        assert (
            "Maximum value of array is outside of allowed value range "
            "(200.0000 vs -128.0000 to 127.0000)." in str(context.exception))
Пример #5
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    def test_validate_true_min_value_outside_value_range(self):
        arr = np.array([-200, -1, 0, 1, 10, 126, 127], dtype=np.int16)

        with self.assertRaises(AssertionError) as context:
            _ = iadt.clip_to_dtype_value_range_(
                np.copy(arr), np.int8, validate=True)

        assert (
            "Minimum value of array is outside of allowed value range "
            "(-200.0000 vs -128.0000 to 127.0000)." in str(context.exception))
Пример #6
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    def test_validate_too_few_values(self):
        arr = np.array([-10, 0, 200], dtype=np.int16)

        _ = iadt.clip_to_dtype_value_range_(np.copy(arr), np.int8, validate=2)