class_docstr: FuzzingHelper makes handling FuzzedDataProvider easier with TensorFlow Python fuzzing.
class_docstr_tok: ["FuzzingHelper","makes","handling","FuzzedDataProvider","easier","with","TensorFlow","Python","fuzzing","."]
docstr: Consume a bool.
  
  Returns:
    Consumed a bool based on input bytes and constraints.
docstr_tok: ["Consume","a","bool",".","Returns",":","Consumed","a","bool","based","on","input","bytes","and","constraints","."]
code: def get_bool(self):
      """Consume a bool.
  
      Returns:
        Consumed a bool based on input bytes and constraints.
      """
      return self.fdp.ConsumeBool()
  
file_path: tensorflow-upstream/tensorflow/security/fuzzing/python_fuzzing.py
imports: import atheris
  import tensorflow
label_desc: Use image node_id 2 for calling the FuzzingHelper obj's underlying member method code with example usage: obj.get_bool() and returns: self