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: Version
docstr_tok: ["Version"]
code: def version(self) -> str:
      """Version"""
  
      return self._version
  
imports: import os
  from ctypes import *
  from enum import Enum
  from typing import Sequence
label_desc: Use image node_id 4 for calling the Porcupine obj's underlying member method code with example usage: obj.version() and returns: self