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: Audio sample rate accepted by Picovoice.
docstr_tok: ["Audio","sample","rate","accepted","by","Picovoice","."]
code: def sample_rate(self) -> int:
      """Audio sample rate accepted by Picovoice."""
  
      return self._sample_rate
  
imports: import os
  from ctypes import *
  from enum import Enum
  from typing import Sequence
label_desc: Use image node_id 6 for calling the Porcupine obj's underlying member method code with example usage: obj.sample_rate() and returns: self