def __init__(
      self,
      name: str,
      model: language_model.LanguageModel,
      memory: associative_memory.AssociativeMemory,
      agent_name: str,
      components: Sequence[component.Component] | None = None,
      clock_now: Callable[[], datetime.datetime] | None = None,
      num_memories_to_retrieve: int = 25,
      verbose: bool = False,
  ):
    """Initializes the component.

    Args:
      name: The name of the component.
      model: The language model to use.
      memory: The memory to use.
      agent_name: The name of the agent.
      components: The components to condition the answer on.
      clock_now: time callback to use for the state.
      num_memories_to_retrieve: The number of memories to retrieve.
      verbose: Whether to print the last chain.
    """
    self._verbose = verbose
    self._model = model
    self._memory = memory
    self._state = ''
    self._components = components or []
    self._agent_name = agent_name
    self._clock_now = clock_now
    self._num_memories_to_retrieve = num_memories_to_retrieve
    self._name = name
    self._last_update = datetime.datetime.min
    self._history = []
Initializes the component.

    Args:
      name: The name of the component.
      model: The language model to use.
      memory: The memory to use.
      agent_name: The name of the agent.
      components: The components to condition the answer on.
      clock_now: time callback to use for the state.
      num_memories_to_retrieve: The number of memories to retrieve.
      verbose: Whether to print the last chain.
    
concordia/components/agent/deprecated/to_be_deprecated/situation_perception.py