code: def test_ApplyVolTransform_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          fs_target=dict(
              argstr="--fstarg",
              mandatory=True,
              requires=["reg_file"],
              xor=("target_file", "tal", "fs_target"),
          ),
          fsl_reg_file=dict(
              argstr="--fsl %s",
              extensions=None,
              mandatory=True,
              xor=(
                  "reg_file",
                  "lta_file",
                  "lta_inv_file",
                  "fsl_reg_file",
                  "xfm_reg_file",
                  "reg_header",
                  "mni_152_reg",
                  "subject",
              ),
          ),
          interp=dict(
              argstr="--interp %s",
          ),
          inverse=dict(
              argstr="--inv",
          ),
          invert_morph=dict(
              argstr="--inv-morph",
              requires=["m3z_file"],
          ),
          lta_file=dict(
              argstr="--lta %s",
              extensions=None,
              mandatory=True,
              xor=(
                  "reg_file",
                  "lta_file",
                  "lta_inv_file",
                  "fsl_reg_file",
                  "xfm_reg_file",
                  "reg_header",
                  "mni_152_reg",
                  "subject",
              ),
          ),
          lta_inv_file=dict(
              argstr="--lta-inv %s",
              extensions=None,
              mandatory=True,
              xor=(
                  "reg_file",
                  "lta_file",
                  "lta_inv_file",
                  "fsl_reg_file",
                  "xfm_reg_file",
                  "reg_header",
                  "mni_152_reg",
                  "subject",
              ),
          ),
          m3z_file=dict(
              argstr="--m3z %s",
              extensions=None,
          ),
          mni_152_reg=dict(
              argstr="--regheader",
              mandatory=True,
              xor=(
                  "reg_file",
                  "lta_file",
                  "lta_inv_file",
                  "fsl_reg_file",
                  "xfm_reg_file",
                  "reg_header",
                  "mni_152_reg",
                  "subject",
              ),
          ),
          no_ded_m3z_path=dict(
              argstr="--noDefM3zPath",
              requires=["m3z_file"],
          ),
          no_resample=dict(
              argstr="--no-resample",
          ),
          reg_file=dict(
              argstr="--reg %s",
              extensions=None,
              mandatory=True,
              xor=(
                  "reg_file",
                  "lta_file",
                  "lta_inv_file",
                  "fsl_reg_file",
                  "xfm_reg_file",
                  "reg_header",
                  "mni_152_reg",
                  "subject",
              ),
          ),
          reg_header=dict(
              argstr="--regheader",
              mandatory=True,
              xor=(
                  "reg_file",
                  "lta_file",
                  "lta_inv_file",
                  "fsl_reg_file",
                  "xfm_reg_file",
                  "reg_header",
                  "mni_152_reg",
                  "subject",
              ),
          ),
          source_file=dict(
              argstr="--mov %s",
              copyfile=False,
              extensions=None,
              mandatory=True,
          ),
          subject=dict(
              argstr="--s %s",
              mandatory=True,
              xor=(
                  "reg_file",
                  "lta_file",
                  "lta_inv_file",
                  "fsl_reg_file",
                  "xfm_reg_file",
                  "reg_header",
                  "mni_152_reg",
                  "subject",
              ),
          ),
          subjects_dir=dict(),
          tal=dict(
              argstr="--tal",
              mandatory=True,
              xor=("target_file", "tal", "fs_target"),
          ),
          tal_resolution=dict(
              argstr="--talres %.10f",
          ),
          target_file=dict(
              argstr="--targ %s",
              extensions=None,
              mandatory=True,
              xor=("target_file", "tal", "fs_target"),
          ),
          transformed_file=dict(
              argstr="--o %s",
              extensions=None,
              genfile=True,
          ),
          xfm_reg_file=dict(
              argstr="--xfm %s",
              extensions=None,
              mandatory=True,
              xor=(
                  "reg_file",
                  "lta_file",
                  "lta_inv_file",
                  "fsl_reg_file",
                  "xfm_reg_file",
                  "reg_header",
                  "mni_152_reg",
                  "subject",
              ),
          ),
      )
      inputs = ApplyVolTransform.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_ApplyVolTransform_inputs() without return types