code: def test_does_not_warn_with_stacking_feature(pd_es):
      with pytest.warns(None) as record:
          dfs(
              entityset=pd_es,
              target_dataframe_name="régions",
              agg_primitives=["percent_true"],
              trans_primitives=[GreaterThanScalar(5)],
              primitive_options={
                  "greater_than_scalar": {
                      "include_dataframes": ["stores"]
                  },
              },
              features_only=True,
          )
  
      assert not record
  
imports: from unittest.mock import patch
  import composeml
  import numpy
  import pandas
  import pytest
  from packaging.version import parse
  from woodwork.column_schema import ColumnSchema
  from woodwork.logical_types import NaturalLanguage
  from featuretools.computational_backends.calculate_feature_matrix import FEATURE_CALCULATION_PERCENTAGE
  from featuretools.entityset import EntitySet, Timedelta
  from featuretools.exceptions import UnusedPrimitiveWarning
  from featuretools.primitives import GreaterThanScalar, Max, Mean, Min, Sum
  from featuretools.primitives.base import AggregationPrimitive, TransformPrimitive
  from featuretools.synthesis import dfs
  from featuretools.synthesis.deep_feature_synthesis import DeepFeatureSynthesis
  from featuretools.tests.testing_utils import to_pandas
  from featuretools.utils.gen_utils import Library, import_or_none, is_instance
label_desc: Use image node_id 21 for calling a global function with example usage: test_does_not_warn_with_stacking_feature(pd_es) without return types