code: def calc_drop_extra_pre_encoded(
      asr_model, step_num, pad_and_drop_preencoded
  ):
      # for the first step there is no need to drop any tokens after the downsampling as no caching is being used
      if step_num == 0 and not pad_and_drop_preencoded:
          return 0
      else:
          return asr_model.encoder.streaming_cfg.drop_extra_pre_encoded
  
file_path: NeMo/examples/asr/asr_cache_aware_streaming/speech_to_text_cache_aware_streaming_infer.py
imports: import contextlib
  import json
  import os
  import time
  from argparse import ArgumentParser
  import torch
  from omegaconf import open_dict
  import nemo.collections.asr
  from nemo.collections.asr.metrics.wer import word_error_rate
  from nemo.collections.asr.parts.utils.rnnt_utils import Hypothesis
  from nemo.collections.asr.parts.utils.streaming_utils import CacheAwareStreamingAudioBuffer
  from nemo.utils import logging
label_desc: Use image node_id 2 for calling a global function with example usage: calc_drop_extra_pre_encoded(asr_model, step_num, pad_and_drop_preencoded) and returns: int, asr_model