Remove pii check from id and bad test

Author: frances-h

sdv/data_processing/data_processor.py

@@ -572,7 +572,7 @@ def _create_config(self, data, columns_created_by_constraints):
                         column, sdtype, column_metadata, is_numeric
                     )
                     sdtypes[column] = 'text'
-                elif column in self._keys or column_metadata.get('pii'):
+                elif column in self._keys:
                     if is_numeric:
                         function_name = 'random_int'
                         column_dtype = str(column_dtype).lower()

tests/integration/sequential/test_par.py

@@ -466,35 +466,3 @@ def test_par_categorical_column_represented_by_floats():
     # Assert
     synth.validate(sampled)
     assert sampled['category'].isin(data['category']).all()
-
-
-def test_par_multiple_sequence_keys():
-    """Test the ``PARSynthesizer`` end to end."""
-    # Setup
-    data = load_demo()
-    data['date'] = pd.to_datetime(data['date'])
-    metadata = Metadata.detect_from_dataframes({'table': data})
-    metadata.update_column('store_id', 'table', sdtype='id')
-    metadata.set_sequence_key('store_id', 'table')
-
-    metadata.set_sequence_index('date', 'table')
-
-    model = PARSynthesizer(
-        metadata=metadata,
-        context_columns=['region'],
-        epochs=1,
-    )
-
-    # Run
-    model.fit(data)
-    sampled = model.sample(100)
-
-    # Assert
-    assert sampled.shape == data.shape
-    assert (sampled.dtypes == data.dtypes).all()
-    assert (sampled.notna().sum(axis=1) != 0).all()
-    loss_values = model.get_loss_values()
-    assert len(loss_values) == 1
-    assert all(sampled.groupby('store_id')['date'].is_monotonic_increasing)
-    assert all(sampled.groupby('store_id')['date'].agg(lambda x: x.is_unique))
-    assert all(sampled['total_sales'].round(2) == sampled['total_sales'])