code: def _handle_finish_req(self, batch: Batch, has_new_finished_req):
      if has_new_finished_req:
          finished_reqs = batch.filter_finished()
          if batch.is_clear():
              self._remove_batch(batch)
          else:
              self._filter_batch(batch)
          yield from self._output_process(finished_reqs)
  
imports: import time
  from typing import List
  from .dynamic_batching.get_tokenizer import get_tokenizer
  from .dynamic_batching.infer_batch import InferBatch
  from .dynamic_batching.io_struct import Batch, Req
  from .dynamic_batching.req_queue import ReqQueue
  from .dynamic_batching.sampling_params import SamplingParams
  from .dynamic_batching.stats import Stats
  from .tensor_parallel import TPInferEngine
label_desc: Use image node_id 13 for calling the DynamicBatchManager obj's underlying member method code with example usage: obj._handle_finish_req(batch, has_new_finished_req) without return types