human
I wrote the below code

    class_profile = {}
    dep_op_list = {}
    (import_str, op_str, op_obj) = source_decode(opsourse)
    if (not op_obj):
        return (None, None)
    else:
        if (issubclass(op_obj, ClassifierMixin) or issubclass(op_obj, RegressorMixin)):
            class_profile['root'] = True
            optype = 'Classifier    or    Regressor'
        else:
            optype = 'Preprocessor    or    Selector'
        @classmethod
        def op_type(cls):
            'Return    the    operator    type.\n\n                                                Possible    values:\n                                                                "Classifier",    "Regressor",    "Selector",    "Preprocessor"\n                                                '
            return optype
        class_profile['type'] = op_type
        class_profile['sklearn_class'] = op_obj
        import_hash = {}
        import_hash[import_str] = [op_str]
        arg_types = []
        for pname in sorted(opdict.keys()):
            prange = opdict[pname]
            if (not isinstance(prange, dict)):
                classname = '{}__{}'.format(op_str, pname)
                arg_types.append(ARGTypeClassFactory(classname, prange))
            else:
                for (dkey, dval) in prange.items():
                    (dep_import_str, dep_op_str, dep_op_obj) = source_decode(dkey)
                    if (dep_import_str in import_hash):
                        import_hash[import_str].append(dep_op_str)
                    else:
                        import_hash[dep_import_str] = [dep_op_str]
                    dep_op_list[pname] = dep_op_str
                    if dval:
                        for dpname in sorted(dval.keys()):
                            dprange = dval[dpname]
                            classname = '{}__{}__{}'.format(op_str, dep_op_str, dpname)
                            arg_types.append(ARGTypeClassFactory(classname, dprange))
        class_profile['arg_types'] = tuple(arg_types)
        class_profile['import_hash']...

What's a good function header?
assistant
#Here's a good function header.

def TPOTOperatorClassFactory(opsourse, opdict, BaseClass=Operator, ArgBaseClass=ARGType):