code: def test_set_feature_names_transform_feature(es):
      class MultiCumulative(TransformPrimitive):
          name = "multi_cum_sum"
          input_types = [ColumnSchema(semantic_tags={"numeric"})]
          return_type = ColumnSchema(semantic_tags={"numeric"})
          number_output_features = 3
  
      feat = Feature(es["log"].ww["value"], primitive=MultiCumulative)
      new_names = ["cumulative_sum", "cumulative_max", "cumulative_min"]
      feat.set_feature_names(new_names)
      assert feat.get_feature_names() == new_names
  
imports: import os.path
  import re
  import pytest
  from pympler.asizeof import asizeof
  from woodwork.column_schema import ColumnSchema
  from woodwork.logical_types import Datetime, Integer
  from featuretools import Feature, config, feature_base
  from featuretools.feature_base import IdentityFeature
  from featuretools.primitives import Count, Diff, Last, Mode, Negate, NMostCommon, NumUnique, Sum, TransformPrimitive
  from featuretools.synthesis.deep_feature_synthesis import can_stack_primitive_on_inputs
  from featuretools.tests.testing_utils import check_rename
label_desc: Use image node_id 29 for calling a global function with example usage: test_set_feature_names_transform_feature(es) without return types