class_docstr: Choice between True and False.
  
  Args:
      name: A string. the name of parameter. Must be unique for each
          `HyperParameter` instance in the search space.
      default: Boolean, the default value to return for the parameter.
          If unspecified, the default value will be False.
class_docstr_tok: ["Choice","between","True","and","False",".","Args",":","name",":","A","string",".","the","name","of","parameter",".","Must","be","unique","for","each","`","HyperParameter","`","instance","in","the","search","space",".","default",":","Boolean",",","the","default","value","to","return","for","the","parameter",".","If","unspecified",",","the","default","value","will","be","False","."]
code: def to_proto(self):
      return protos.get_proto().Boolean(
          name=self.name,
          default=self.default,
          conditions=[c.to_proto() for c in self.conditions],
      )
  
file_path: keras-tuner/keras_tuner/engine/hyperparameters/hp_types/boolean_hp.py
imports: from keras_tuner import protos
  from keras_tuner.api_export import keras_tuner_export
  from keras_tuner.engine import conditions
  from keras_tuner.engine.hyperparameters import hyperparameter
label_desc: Use image node_id 7 for calling the Boolean obj's underlying member method code with example usage: obj.to_proto() and returns: protos