code: def test_default_global_output_type(input_type):
      dataset = get_small_dataset(input_type)
  
      dbscan_float = cuml.DBSCAN(eps=1.0, min_samples=1)
      dbscan_float.fit(dataset)
  
      res = dbscan_float.labels_
  
      if input_type == "numba":
          assert is_cuda_array(res)
      else:
          assert isinstance(res, test_output_types[input_type])
  
file_path: cuml/python/cuml/tests/test_module_config.py
imports: from numba.cuda import is_cuda_array, as_cuda_array
  from cuml.internals.safe_imports import cpu_only_import
  import cuml
  import pytest
  from cuml.internals.safe_imports import gpu_only_import
label_desc: Use image node_id 2 for calling a global function with example usage: test_default_global_output_type(input_type) without return types