code: def cache_aware_stream_step(
      self,
      processed_signal,
      processed_signal_length=None,
      cache_last_channel=None,
      cache_last_time=None,
      cache_last_channel_len=None,
      keep_all_outputs=True,
      drop_extra_pre_encoded=None,
  ):
      if self.streaming_cfg is None:
          self.setup_streaming_params()
      if drop_extra_pre_encoded is not None:
          prev_drop_extra_pre_encoded = (
              self.streaming_cfg.drop_extra_pre_encoded
          )
          self.streaming_cfg.drop_extra_pre_encoded = (
              drop_extra_pre_encoded
          )
      else:
          prev_drop_extra_pre_encoded = None
  
      if processed_signal_length is None:
          processed_signal_length = processed_signal.new_full(
              processed_signal.size(0), processed_signal.size(-1)
          )
  
      encoder_output = self(
          audio_signal=processed_signal,
          length=processed_signal_length,
          cache_last_channel=cache_last_channel,
          cache_last_time=cache_last_time,
          cache_last_channel_len=cache_last_channel_len,
      )
  
      encoder_output = self.streaming_post_process(
          encoder_output, keep_all_outputs=keep_all_outputs
      )
  
      if prev_drop_extra_pre_encoded is not None:
          self.streaming_cfg.drop_extra_pre_encoded = (
              prev_drop_extra_pre_encoded
          )
  
      return encoder_output
  
imports: from abc import ABC, abstractmethod
  import torch
label_desc: Use image node_id 4 for calling the StreamingEncoder obj's underlying member method code with example usage: obj.cache_aware_stream_step(processed_signal, processed_signal_length, cache_last_channel, cache_last_time, cache_last_channel_len, keep_all_outputs, drop_extra_pre_encoded) and returns: encoder_output