def __init__(
      self,
      model: language_model.LanguageModel,
      components: Mapping[
          entity_component.ComponentName, str
      ] = types.MappingProxyType({}),
      clock_now: Callable[[], datetime.datetime] | None = None,
      hints: Sequence[Callable[[str, datetime.datetime], str]] | None = None,
      pre_act_key: str = DEFAULT_PRE_ACT_KEY,
      logging_channel: logging.LoggingChannel = logging.NoOpLoggingChannel,
  ):
    """Initializes the PersonBySituation component.

    Args:
      model: The language model to use.
      components: The components to condition the answer on.
      clock_now: time callback to use for the state.
      hints: Sequence of possible hints to apply on each step. Each checks a
        condition based on the incoming chain of thought and either outputs a
        string or not.
      pre_act_key: Prefix to add to the output of the component when called
        in `pre_act`.
      logging_channel: The channel to log debug information to.
    """
    super().__init__(pre_act_key)
    self._model = model
    self._components = dict(components)
    self._clock_now = clock_now
    self._hints = hints
    self._logging_channel = logging_channel
Initializes the PersonBySituation component.

    Args:
      model: The language model to use.
      components: The components to condition the answer on.
      clock_now: time callback to use for the state.
      hints: Sequence of possible hints to apply on each step. Each checks a
        condition based on the incoming chain of thought and either outputs a
        string or not.
      pre_act_key: Prefix to add to the output of the component when called
        in `pre_act`.
      logging_channel: The channel to log debug information to.
    
concordia/components/agent/deprecated/scheduled_hint.py