code: def merge(self, hps, name_prefix="", overwrite=True):
      """Merges hyperparameters into this object.
  
      Arguments:
        hps: A `HyperParameters` object or list of `HyperParameter` objects.
        name_prefix: A string to add to all hparams names in hps.
        overwrite: bool. Whether existing `HyperParameter`s should be overridden
          by those in `hps` with the same name and conditions.
      """
      if isinstance(hps, keras_tuner.HyperParameters):
          hps = hps.space
  
      if not overwrite:
          hps = [
              hp
              for hp in hps
              if not self._exists(name_prefix + hp.name, hp.conditions)
          ]
  
      for hp in hps:
          hp.name = name_prefix + hp.name
          self._register(hp, overwrite)
  
imports: from absl import logging
  import keras_tuner
label_desc: Use image node_id 1 for calling the Hyperparameters obj's underlying member method code with example usage: obj.merge(hps, name_prefix, overwrite) without return types