code: def test_rename(pd_es):
      cum_count = Feature(
          IdentityFeature(pd_es["log"].ww["product_id"]),
          groupby=IdentityFeature(pd_es["log"].ww["product_id"]),
          primitive=CumCount,
      )
      copy_feat = cum_count.rename("rename_test")
      assert cum_count.unique_name() != copy_feat.unique_name()
      assert cum_count.get_name() != copy_feat.get_name()
      assert all(
          [
              x.generate_name() == y.generate_name()
              for x, y in zip(
                  cum_count.base_features, copy_feat.base_features
              )
          ],
      )
      assert cum_count.dataframe_name == copy_feat.dataframe_name
  
imports: import numpy
  import pandas
  from woodwork.column_schema import ColumnSchema
  from woodwork.logical_types import Datetime
  from featuretools import Feature, GroupByTransformFeature, IdentityFeature, calculate_feature_matrix, feature_base
  from featuretools.computational_backends.feature_set import FeatureSet
  from featuretools.computational_backends.feature_set_calculator import FeatureSetCalculator
  from featuretools.primitives import CumCount, CumMax, CumMean, CumMin, CumSum, Last
  from featuretools.primitives.base import TransformPrimitive
  from featuretools.synthesis import dfs
  from featuretools.tests.testing_utils import feature_with_name
label_desc: Use image node_id 9 for calling a global function with example usage: test_rename(pd_es) without return types