code: def test_NetCorr_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          fish_z=dict(
              argstr="-fish_z",
          ),
          ignore_LT=dict(
              argstr="-ignore_LT",
          ),
          in_file=dict(
              argstr="-inset %s",
              extensions=None,
              mandatory=True,
          ),
          in_rois=dict(
              argstr="-in_rois %s",
              extensions=None,
              mandatory=True,
          ),
          mask=dict(
              argstr="-mask %s",
              extensions=None,
          ),
          nifti=dict(
              argstr="-nifti",
          ),
          num_threads=dict(
              nohash=True,
              usedefault=True,
          ),
          out_file=dict(
              argstr="-prefix %s",
              extensions=None,
              name_source="in_file",
              name_template="%s_netcorr",
              position=1,
          ),
          output_mask_nonnull=dict(
              argstr="-output_mask_nonnull",
          ),
          outputtype=dict(),
          part_corr=dict(
              argstr="-part_corr",
          ),
          push_thru_many_zeros=dict(
              argstr="-push_thru_many_zeros",
          ),
          ts_indiv=dict(
              argstr="-ts_indiv",
          ),
          ts_label=dict(
              argstr="-ts_label",
          ),
          ts_out=dict(
              argstr="-ts_out",
          ),
          ts_wb_Z=dict(
              argstr="-ts_wb_Z",
          ),
          ts_wb_corr=dict(
              argstr="-ts_wb_corr",
          ),
          ts_wb_strlabel=dict(
              argstr="-ts_wb_strlabel",
          ),
          weight_ts=dict(
              argstr="-weight_ts %s",
              extensions=None,
          ),
      )
      inputs = NetCorr.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_NetCorr_inputs() without return types