def METHOD_NAME():
    input_map = dict(
        allcostx=dict(
            argstr="-allcostx |& tee %s",
            extensions=None,
            position=-1,
            xor=["out_file", "out_matrix", "out_param_file", "out_weight_file"],
        ),
        args=dict(
            argstr="%s",
        ),
        autobox=dict(
            argstr="-autobox",
        ),
        automask=dict(
            argstr="-automask+%d",
        ),
        autoweight=dict(
            argstr="-autoweight%s",
        ),
        center_of_mass=dict(
            argstr="-cmass%s",
        ),
        check=dict(
            argstr="-check %s",
        ),
        convergence=dict(
            argstr="-conv %f",
        ),
        cost=dict(
            argstr="-cost %s",
        ),
        environ=dict(
            nohash=True,
            usedefault=True,
        ),
        epi=dict(
            argstr="-EPI",
        ),
        final_interpolation=dict(
            argstr="-final %s",
        ),
        fine_blur=dict(
            argstr="-fineblur %f",
        ),
        in_file=dict(
            argstr="-source %s",
            copyfile=False,
            extensions=None,
            mandatory=True,
        ),
        in_matrix=dict(
            argstr="-1Dmatrix_apply %s",
            extensions=None,
            position=-3,
            xor=["out_matrix"],
        ),
        in_param_file=dict(
            argstr="-1Dparam_apply %s",
            extensions=None,
            xor=["out_param_file"],
        ),
        interpolation=dict(
            argstr="-interp %s",
        ),
        master=dict(
            argstr="-master %s",
            extensions=None,
        ),
        maxrot=dict(
            argstr="-maxrot %f",
        ),
        maxscl=dict(
            argstr="-maxscl %f",
        ),
        maxshf=dict(
            argstr="-maxshf %f",
        ),
        maxshr=dict(
            argstr="-maxshr %f",
        ),
        newgrid=dict(
            argstr="-newgrid %f",
        ),
        nmatch=dict(
            argstr="-nmatch %d",
        ),
        no_pad=dict(
            argstr="-nopad",
        ),
        nomask=dict(
            argstr="-nomask",
        ),
        num_threads=dict(
            nohash=True,
            usedefault=True,
        ),
        nwarp=dict(
            argstr="-nwarp %s",
        ),
        nwarp_fixdep=dict(
            argstr="-nwarp_fixdep%s...",
        ),
        nwarp_fixmot=dict(
            argstr="-nwarp_fixmot%s...",
        ),
        one_pass=dict(
            argstr="-onepass",
        ),
        out_file=dict(
            argstr="-prefix %s",
            extensions=None,
            hash_files=False,
            name_source="in_file",
            name_template="%s_allineate",
            xor=["allcostx"],
        ),
        out_matrix=dict(
            argstr="-1Dmatrix_save %s",
            extensions=None,
            xor=["in_matrix", "allcostx"],
        ),
        out_param_file=dict(
            argstr="-1Dparam_save %s",
            extensions=None,
            xor=["in_param_file", "allcostx"],
        ),
        out_weight_file=dict(
            argstr="-wtprefix %s",
            extensions=None,
            xor=["allcostx"],
        ),
        outputtype=dict(),
        overwrite=dict(
            argstr="-overwrite",
        ),
        quiet=dict(
            argstr="-quiet",
        ),
        reference=dict(
            argstr="-base %s",
            extensions=None,
        ),
        replacebase=dict(
            argstr="-replacebase",
        ),
        replacemeth=dict(
            argstr="-replacemeth %s",
        ),
        source_automask=dict(
            argstr="-source_automask+%d",
        ),
        source_mask=dict(
            argstr="-source_mask %s",
            extensions=None,
        ),
        two_best=dict(
            argstr="-twobest %d",
        ),
        two_blur=dict(
            argstr="-twoblur %f",
        ),
        two_first=dict(
            argstr="-twofirst",
        ),
        two_pass=dict(
            argstr="-twopass",
        ),
        usetemp=dict(
            argstr="-usetemp",
        ),
        verbose=dict(
            argstr="-verb",
        ),
        warp_type=dict(
            argstr="-warp %s",
        ),
        warpfreeze=dict(
            argstr="-warpfreeze",
        ),
        weight=dict(
            argstr="-weight %s",
        ),
        weight_file=dict(
            argstr="-weight %s",
            deprecated="1.0.0",
            extensions=None,
            new_name="weight",
        ),
        zclip=dict(
            argstr="-zclip",
        ),
    )
    inputs = Allineate.input_spec()
    for key, metadata in list(input_map.items()):
        for metakey, value in list(metadata.items()):
            assert getattr(inputs.traits()[key], metakey) == value