class_docstr: Container for both a hyperparameter space, and current values.
  
  A `HyperParameters` instance can be pass to `HyperModel.build(hp)` as an
  argument to build a model.
  
  To prevent the users from depending on inactive hyperparameter values, only
  active hyperparameters should have values in `HyperParameters.values`.
  
  Attributes:
      space: A list of `HyperParameter` objects.
      values: A dict mapping hyperparameter names to current values.
docstr: Returns a name qualified by `name_scopes`.
docstr_tok: ["Returns","a","name","qualified","by","`","name_scopes","`","."]
code: def _get_name(self, name, name_scopes=None):
      """Returns a name qualified by `name_scopes`."""
      if name_scopes is None:
          name_scopes = self._name_scopes
  
      return (
          "/".join(name_scopes) + "/" + str(name)
          if name_scopes
          else str(name)
      )
  
imports: import collections
  import contextlib
  import copy
  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_types
  from keras_tuner.engine.hyperparameters import hyperparameter
label_desc: Use image node_id 26 for calling the HyperParameters obj's underlying member method code with example usage: obj._get_name(name, name_scopes) and returns: unknown