code: def ffmpeg_microphone_live(
      sampling_rate: int,
      chunk_length_s: float,
      stream_chunk_s: Optional[int] = None,
      stride_length_s: Optional[
          Union[Tuple[float, float], float]
      ] = None,
      format_for_conversion: str = "f32le",
  ):
      """
      Helper function to read audio from the microphone file through ffmpeg. This will output `partial` overlapping
      chunks starting from `stream_chunk_s` (if it is defined) until `chunk_length_s` is reached. It will make use of
      striding to avoid errors on the "sides" of the various chunks.
  
      Arguments:
          sampling_rate (`int`):
              The sampling_rate to use when reading the data from the microphone. Try using the model's sampling_rate to
              avoid resampling later.
          chunk_length_s (`float` or `int`):
              The length of the maximum chunk of audio to be sent returned. This includes the eventual striding.
          stream_chunk_s (`float` or `int`)
              The length of the minimal temporary audio to be returned.
          stride_length_s (`float` or `int` or `(float, float)`, *optional*, defaults to `None`)
              The length of the striding to be used. Stride is used to provide context to a model on the (left, right) of
              an audio sample but without using that part to actually make the prediction. Setting this does not change
              the length of the chunk.
          format_for_conversion: (`str`, defalts to `f32le`)
              The name of the format of the audio samples to be returned by ffmpeg. The standard is `f32le`, `s16le`
              could also be used.
      Return:
          A generator yielding dictionaries of the following form
  
          `{"sampling_rate": int, "raw": np.array(), "partial" bool}` With optionnally a `"stride" (int, int)` key if
          `stride_length_s` is defined.
  
          `stride` and `raw` are all expressed in `samples`, and `partial` is a boolean saying if the current yield item
          is a whole chunk, or a partial temporary result to be later replaced by another larger chunk.
  
  
      """
      if stream_chunk_s is not None:
          chunk_s = stream_chunk_s
      else:
          chunk_s = chunk_length_s
  
      microphone = ffmpeg_microphone(
          sampling_rate,
          chunk_s,
          format_for_conversion=format_for_conversion,
      )
      if format_for_conversion == "s16le":
          dtype = np.int16
          size_of_sample = 2
      elif format_for_conversion == "f32le":
          dtype = np.float32
          size_of_sample = 4
      else:
          raise ValueError(
              f"Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`"
          )
  
      if stride_length_s is None:
          stride_length_s = chunk_length_s / 6
      chunk_len = (
          int(round(sampling_rate * chunk_length_s)) * size_of_sample
      )
      if isinstance(stride_length_s, (int, float)):
          stride_length_s = [stride_length_s, stride_length_s]
  
      stride_left = (
          int(round(sampling_rate * stride_length_s[0]))
          * size_of_sample
      )
      stride_right = (
          int(round(sampling_rate * stride_length_s[1]))
          * size_of_sample
      )
      for item in chunk_bytes_iter(
          microphone,
          chunk_len,
          stride=(stride_left, stride_right),
          stream=True,
      ):
          # Put everything back in numpy scale
          item["raw"] = np.frombuffer(item["raw"], dtype=dtype)
          item["stride"] = (
              item["stride"][0] // size_of_sample,
              item["stride"][1] // size_of_sample,
          )
          item["sampling_rate"] = sampling_rate
          yield item
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/pipelines/audio_utils.py
imports: import platform
  import subprocess
  from typing import Optional, Tuple, Union
  import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: ffmpeg_microphone_live(sampling_rate, chunk_length_s, stream_chunk_s, stride_length_s, format_for_conversion) without return types