class_docstr: Specification for a parameter to be generated during fuzzing.
class_docstr_tok: ["Specification","for","a","parameter","to","be","generated","during","fuzzing","."]
code: def name(self):
      return self._name
  
imports: import functools
  import itertools
  from typing import Any, Callable, Dict, List, Optional, Tuple, Union
  import numpy
  import torch
label_desc: Use image node_id 2 for calling the FuzzedParameter obj's underlying member method code with example usage: obj.name() and returns: self