code: def test_CreateMatrix_inputs():
      input_map = dict(
          count_region_intersections=dict(
              usedefault=True,
          ),
          out_endpoint_array_name=dict(
              extensions=None,
              genfile=True,
          ),
          out_fiber_length_std_matrix_mat_file=dict(
              extensions=None,
              genfile=True,
          ),
          out_intersection_matrix_mat_file=dict(
              extensions=None,
              genfile=True,
          ),
          out_matrix_file=dict(
              extensions=None,
              genfile=True,
          ),
          out_matrix_mat_file=dict(
              extensions=None,
              usedefault=True,
          ),
          out_mean_fiber_length_matrix_mat_file=dict(
              extensions=None,
              genfile=True,
          ),
          out_median_fiber_length_matrix_mat_file=dict(
              extensions=None,
              genfile=True,
          ),
          resolution_network_file=dict(
              extensions=None,
              mandatory=True,
          ),
          roi_file=dict(
              extensions=None,
              mandatory=True,
          ),
          tract_file=dict(
              extensions=None,
              mandatory=True,
          ),
      )
      inputs = CreateMatrix.input_spec()
  
      for key, metadata in list(input_map.items()):
          for metakey, value in list(metadata.items()):
              assert getattr(inputs.traits()[key], metakey) == value
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_CreateMatrix_inputs() without return types