code: def test_percent_true_default_value_with_dfs():
      es = ft.EntitySet(id="customer_data")
  
      customers_df = pd.DataFrame(data={"customer_id": [1, 2]})
      transactions_df = pd.DataFrame(
          data={"tx_id": [1], "customer_id": [1], "is_foo": [True]},
      )
  
      es.add_dataframe(
          dataframe_name="customers_df",
          dataframe=customers_df,
          index="customer_id",
      )
      es.add_dataframe(
          dataframe_name="transactions_df",
          dataframe=transactions_df,
          index="tx_id",
          logical_types={"is_foo": BooleanNullable},
      )
  
      es = es.add_relationship(
          "customers_df",
          "customer_id",
          "transactions_df",
          "customer_id",
      )
  
      feature_matrix, _ = ft.dfs(
          entityset=es,
          target_dataframe_name="customers_df",
          agg_primitives=["percent_true"],
      )
  
      assert pd.isna(
          feature_matrix["PERCENT_TRUE(transactions_df.is_foo)"][2]
      )
  
imports: import pandas
  from woodwork.logical_types import BooleanNullable
  import featuretools
label_desc: Use image node_id 1 for calling a global function with example usage: test_percent_true_default_value_with_dfs() without return types