code: def test_MRConvert_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          axes=dict(
              argstr="-axes %s",
              sep=",",
          ),
          bval_scale=dict(
              argstr="-bvalue_scaling %s",
          ),
          coord=dict(
              argstr="-coord %s",
              sep=" ",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          grad_file=dict(
              argstr="-grad %s",
              extensions=None,
              xor=["grad_fsl"],
          ),
          grad_fsl=dict(
              argstr="-fslgrad %s %s",
              xor=["grad_file"],
          ),
          in_bval=dict(
              extensions=None,
          ),
          in_bvec=dict(
              argstr="-fslgrad %s %s",
              extensions=None,
          ),
          in_file=dict(
              argstr="%s",
              extensions=None,
              mandatory=True,
              position=-2,
          ),
          json_export=dict(
              argstr="-json_export %s",
              extensions=None,
              mandatory=False,
          ),
          json_import=dict(
              argstr="-json_import %s",
              extensions=None,
              mandatory=False,
          ),
          nthreads=dict(
              argstr="-nthreads %d",
              nohash=True,
          ),
          out_bval=dict(
              extensions=None,
          ),
          out_bvec=dict(
              argstr="-export_grad_fsl %s %s",
              extensions=None,
          ),
          out_file=dict(
              argstr="%s",
              extensions=None,
              mandatory=True,
              position=-1,
              usedefault=True,
          ),
          scaling=dict(
              argstr="-scaling %s",
              sep=",",
          ),
          vox=dict(
              argstr="-vox %s",
              sep=",",
          ),
      )
      inputs = MRConvert.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_MRConvert_inputs() without return types