class_docstr: Choice of one value among a predefined set of possible values.
  
  Args:
      name: A string. the name of parameter. Must be unique for each
          `HyperParameter` instance in the search space.
      values: A list of possible values. Values must be int, float,
          str, or bool. All values must be of the same type.
      ordered: Optional boolean, whether the values passed should be
          considered to have an ordering. Defaults to `True` for float/int
          values.  Must be `False` for any other values.
      default: Optional default value to return for the parameter.
          If unspecified, the default value will be:
          - None if None is one of the choices in `values`
          - The first entry in `values` otherwise.
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code: def __repr__(self):
      return (
          f"Choice(name: '{self.name}', "
          + f"values: {self._values}, "
          + f"ordered: {self.ordered}, default: {self.default})"
      )
  
file_path: keras-tuner/keras_tuner/engine/hyperparameters/hp_types/choice_hp.py
imports: import six
  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 hp_utils
  from keras_tuner.engine.hyperparameters import hyperparameter
label_desc: Use image node_id 2 for calling the Choice obj's underlying member method code with example usage: obj.__repr__() and returns: unknown