remove normalize

sdmetrics/single_column/statistical/key_uniqueness.py

@@ -67,17 +67,3 @@ def compute(cls, real_data, synthetic_data):
                 The proportion of data points in the synthetic data that are unique.
         """
         return cls.compute_breakdown(real_data, synthetic_data)['score']
-
-    @classmethod
-    def normalize(cls, raw_score):
-        """Return the `raw_score` as is, since it is already normalized.
-
-        Args:
-            raw_score (float):
-                The value of the metric from `compute`.
-
-        Returns:
-            float:
-                The normalized value of the metric
-        """
-        return super().normalize(raw_score)

tests/unit/single_column/statistical/test_key_uniqueness.py

@@ -52,17 +52,3 @@ def test_compute(self, compute_breakdown_mock):
         # Assert
         compute_breakdown_mock.assert_called_once_with(real_data, synthetic_data)
         assert result == 0.6
-
-    @patch('sdmetrics.single_column.statistical.key_uniqueness.SingleColumnMetric.normalize')
-    def test_normalize(self, normalize_mock):
-        """Test the ``normalize`` method."""
-        # Setup
-        metric = KeyUniqueness()
-        raw_score = 0.9
-
-        # Run
-        result = metric.normalize(raw_score)
-
-        # Assert
-        normalize_mock.assert_called_once_with(raw_score)
-        assert result == normalize_mock.return_value