code: def test_MedicAlgorithmThresholdToBinaryMask_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          inLabel=dict(
              argstr="--inLabel %s",
              sep=";",
          ),
          inMaximum=dict(
              argstr="--inMaximum %f",
          ),
          inMinimum=dict(
              argstr="--inMinimum %f",
          ),
          inUse=dict(
              argstr="--inUse %s",
          ),
          null=dict(
              argstr="--null %s",
          ),
          outBinary=dict(
              argstr="--outBinary %s",
              sep=";",
          ),
          xDefaultMem=dict(
              argstr="-xDefaultMem %d",
          ),
          xMaxProcess=dict(
              argstr="-xMaxProcess %d",
              usedefault=True,
          ),
          xPrefExt=dict(
              argstr="--xPrefExt %s",
          ),
      )
      inputs = MedicAlgorithmThresholdToBinaryMask.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_MedicAlgorithmThresholdToBinaryMask_inputs() without return types