code: def test_override_cmp_from_column(es):
      count_lo = Feature(es["log"].ww["value"]) > 1
  
      to_test = [False, True, True]
  
      features = [count_lo]
  
      df = to_pandas(
          calculate_feature_matrix(
              entityset=es,
              features=features,
              instance_ids=[0, 1, 2],
          ),
          index="id",
          sort_index=True,
      )
      v = df[count_lo.get_name()].tolist()
      for i, test in enumerate(to_test):
          assert v[i] == test
  
file_path: featuretools/featuretools/tests/primitive_tests/test_overrides.py
imports: from featuretools import Feature, calculate_feature_matrix
  from featuretools.primitives import AddNumeric, AddNumericScalar, Count, DivideByFeature, DivideNumeric, DivideNumericScalar, Equal, EqualScalar, GreaterThan, GreaterThanEqualTo, GreaterThanEqualToScalar, GreaterThanScalar, LessThan, LessThanEqualTo, LessThanEqualToScalar, LessThanScalar, ModuloByFeature, ModuloNumeric, ModuloNumericScalar, MultiplyNumeric, MultiplyNumericScalar, Negate, NotEqual, NotEqualScalar, ScalarSubtractNumericFeature, SubtractNumeric, SubtractNumericScalar, Sum
  from featuretools.tests.testing_utils import to_pandas
label_desc: Use image node_id 4 for calling a global function with example usage: test_override_cmp_from_column(es) without return types