code: def test_LTAConvert_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          in_fsl=dict(
              argstr="--infsl %s",
              extensions=None,
              mandatory=True,
              xor=(
                  "in_lta",
                  "in_fsl",
                  "in_mni",
                  "in_reg",
                  "in_niftyreg",
                  "in_itk",
              ),
          ),
          in_itk=dict(
              argstr="--initk %s",
              extensions=None,
              mandatory=True,
              xor=(
                  "in_lta",
                  "in_fsl",
                  "in_mni",
                  "in_reg",
                  "in_niftyreg",
                  "in_itk",
              ),
          ),
          in_lta=dict(
              argstr="--inlta %s",
              mandatory=True,
              xor=(
                  "in_lta",
                  "in_fsl",
                  "in_mni",
                  "in_reg",
                  "in_niftyreg",
                  "in_itk",
              ),
          ),
          in_mni=dict(
              argstr="--inmni %s",
              extensions=None,
              mandatory=True,
              xor=(
                  "in_lta",
                  "in_fsl",
                  "in_mni",
                  "in_reg",
                  "in_niftyreg",
                  "in_itk",
              ),
          ),
          in_niftyreg=dict(
              argstr="--inniftyreg %s",
              extensions=None,
              mandatory=True,
              xor=(
                  "in_lta",
                  "in_fsl",
                  "in_mni",
                  "in_reg",
                  "in_niftyreg",
                  "in_itk",
              ),
          ),
          in_reg=dict(
              argstr="--inreg %s",
              extensions=None,
              mandatory=True,
              xor=(
                  "in_lta",
                  "in_fsl",
                  "in_mni",
                  "in_reg",
                  "in_niftyreg",
                  "in_itk",
              ),
          ),
          invert=dict(
              argstr="--invert",
          ),
          ltavox2vox=dict(
              argstr="--ltavox2vox",
              requires=["out_lta"],
          ),
          out_fsl=dict(
              argstr="--outfsl %s",
          ),
          out_itk=dict(
              argstr="--outitk %s",
          ),
          out_lta=dict(
              argstr="--outlta %s",
          ),
          out_mni=dict(
              argstr="--outmni %s",
          ),
          out_reg=dict(
              argstr="--outreg %s",
          ),
          source_file=dict(
              argstr="--src %s",
              extensions=None,
          ),
          target_conform=dict(
              argstr="--trgconform",
          ),
          target_file=dict(
              argstr="--trg %s",
              extensions=None,
          ),
      )
      inputs = LTAConvert.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_LTAConvert_inputs() without return types