code: def test_Bse_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          diffusionConstant=dict(
              argstr="-d %f",
              usedefault=True,
          ),
          diffusionIterations=dict(
              argstr="-n %d",
              usedefault=True,
          ),
          dilateFinalMask=dict(
              argstr="-p",
              usedefault=True,
          ),
          edgeDetectionConstant=dict(
              argstr="-s %f",
              usedefault=True,
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          inputMRIFile=dict(
              argstr="-i %s",
              extensions=None,
              mandatory=True,
          ),
          noRotate=dict(
              argstr="--norotate",
          ),
          outputCortexFile=dict(
              argstr="--cortex %s",
              extensions=None,
              hash_files=False,
          ),
          outputDetailedBrainMask=dict(
              argstr="--hires %s",
              extensions=None,
              hash_files=False,
          ),
          outputDiffusionFilter=dict(
              argstr="--adf %s",
              extensions=None,
              hash_files=False,
          ),
          outputEdgeMap=dict(
              argstr="--edge %s",
              extensions=None,
              hash_files=False,
          ),
          outputMRIVolume=dict(
              argstr="-o %s",
              extensions=None,
              genfile=True,
              hash_files=False,
          ),
          outputMaskFile=dict(
              argstr="--mask %s",
              extensions=None,
              genfile=True,
              hash_files=False,
          ),
          radius=dict(
              argstr="-r %f",
              usedefault=True,
          ),
          timer=dict(
              argstr="--timer",
          ),
          trim=dict(
              argstr="--trim",
              usedefault=True,
          ),
          verbosityLevel=dict(
              argstr="-v %f",
              usedefault=True,
          ),
      )
      inputs = Bse.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_Bse_inputs() without return types