class_docstr: Python binding for Porcupine wake word engine. It detects utterances of given keywords within an incoming stream of
  audio in real-time. It processes incoming audio in consecutive frames and for each frame emits the detection result.
  The number of samples per frame can be attained by calling `.frame_length`. The incoming audio needs to have a
  sample rate equal to `.sample_rate` and be 16-bit linearly-encoded. Porcupine operates on single-channel audio.
docstr: Number of audio samples per frame.
docstr_tok: ["Number","of","audio","samples","per","frame","."]
code: def frame_length(self) -> int:
      """Number of audio samples per frame."""
  
      return self._frame_length
  
imports: import os
  from ctypes import *
  from enum import Enum
  from typing import Sequence
label_desc: Use image node_id 5 for calling the Porcupine obj's underlying member method code with example usage: obj.frame_length() and returns: self