code: def test_get_default_benchmark_parameters():
      benchmark_parameters = get_default_benchmark_parameters()
  
      assert (
          benchmark_parameters["metric"]
          == EvaluationMetricEnum.MeanSquaredError
      )
      assert (
          os.path.basename(
              os.path.normpath(benchmark_parameters["data_directory"])
          )
          == "benchmark_output"
      )
  
file_path: greykite/greykite/tests/framework/benchmark/test_benchmark_template.py
imports: import os
  from greykite.common.data_loader import DataLoader
  from greykite.common.evaluation import EvaluationMetricEnum
  from greykite.common.testing_utils import generate_df_for_tests
  from greykite.framework.benchmark.benchmark_template import benchmark_silverkite_template
  from greykite.framework.benchmark.benchmark_template import get_default_benchmark_parameters
  from greykite.framework.benchmark.benchmark_template import get_default_benchmark_real_datasets
  from greykite.framework.benchmark.benchmark_template import get_default_benchmark_silverkite_parameters
  from greykite.framework.benchmark.benchmark_template import get_default_benchmark_simulated_datasets
  from greykite.framework.templates.autogen.forecast_config import EvaluationMetricParam
  from greykite.framework.templates.autogen.forecast_config import MetadataParam
label_desc: Use image node_id 6 for calling a global function with example usage: test_get_default_benchmark_parameters() without return types