code: def test_get_default_benchmark_simulated_datasets():
      simulated_datasets = get_default_benchmark_simulated_datasets()
  
      assert simulated_datasets[0] == (
          "daily_simulated",
          "D",
          3 * 30,
          [30],
      )
      assert simulated_datasets[1] == (
          "daily_simulated",
          "D",
          2 * 365,
          [365],
      )
      assert simulated_datasets[2] == (
          "hourly_simulated",
          "H",
          7 * 24,
          [24],
      )
  
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 3 for calling a global function with example usage: test_get_default_benchmark_simulated_datasets() without return types