code: def clicks(
      audio: Union[str, np.ndarray],
      sample_rate: int = DEFAULT_SAMPLE_RATE,
      seconds_between_clicks: float = 0.5,
      snr_level_db: float = 1.0,
      output_path: Optional[str] = None,
      metadata: Optional[List[Dict[str, Any]]] = None,
  ) -> Tuple[np.ndarray, int]:
      """
      Adds clicks to the audio at a given regular interval
  
      @param audio: the path to the audio or a variable of type np.ndarray that
          will be augmented
  
      @param sample_rate: the audio sample rate of the inputted audio
  
      @param seconds_between_clicks: the amount of time between each click that
          will be added to the audio, in seconds
  
      @param snr_level_db: signal-to-noise ratio in dB
  
      @param output_path: the path in which the resulting audio will be stored. If None,
          the resulting np.ndarray will still be returned
  
      @param metadata: if set to be a list, metadata about the function execution
          including its name, the source & dest duration, sample rates, etc. will be
          appended to the inputted list. If set to None, no metadata will be appended
  
      @returns: the augmented audio array and sample rate
      """
      assert isinstance(
          seconds_between_clicks, (int, float)
      ), "Expected 'seconds_between_clicks' to be a number"
      audio, sample_rate = audutils.validate_and_load_audio(
          audio, sample_rate
      )
  
      num_samples = audio.shape[-1]
      seconds_in_audio = num_samples / sample_rate
      times = np.arange(0, seconds_in_audio, seconds_between_clicks)
      clicks_audio = librosa.clicks(times=times, sr=sample_rate)
  
      aug_audio, out_sample_rate = add_background_noise(
          audio,
          sample_rate=sample_rate,
          background_audio=clicks_audio,
          snr_level_db=snr_level_db,
      )
  
      audutils.get_metadata(
          metadata=metadata,
          function_name="clicks",
          audio=audio,
          sample_rate=sample_rate,
          dst_audio=aug_audio,
          dst_sample_rate=out_sample_rate,
          seconds_between_clicks=seconds_between_clicks,
          output_path=output_path,
          clicks_duration=clicks_audio.shape[-1] / sample_rate,
      )
  
      return audutils.ret_and_save_audio(
          aug_audio, output_path, out_sample_rate
      )
  
imports: from copy import deepcopy
  from typing import Any, Callable, Dict, List, Optional, Tuple, Union
  import numpy
  import torch
  from augly.audio import utils
  from augly.utils import DEFAULT_SAMPLE_RATE
  from augly.utils.libsndfile import install_libsndfile
  import librosa
  from torchaudio import sox_effects
  from torchaudio.functional import fftconvolve, resample
label_desc: Use image node_id 4 for calling a global function with example usage: clicks(audio, sample_rate, seconds_between_clicks, snr_level_db, output_path, metadata) and returns: audutils