code: def insert_in_background(
      audio: Union[str, np.ndarray],
      sample_rate: int = DEFAULT_SAMPLE_RATE,
      offset_factor: float = 0.0,
      background_audio: Optional[Union[str, np.ndarray]] = None,
      seed: Optional[audutils.RNGSeed] = None,
      output_path: Optional[str] = None,
      metadata: Optional[List[Dict[str, Any]]] = None,
  ) -> Tuple[np.ndarray, int]:
      """
      Inserts audio into a background clip in a non-overlapping manner.
  
      @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 offset_factor: insert point relative to the background duration
          (this parameter is multiplied by the background duration)
  
      @param background_audio: the path to the background audio or a variable of type
          np.ndarray containing the background audio. If set to `None`, the background
          audio will be white noise, with the same duration as the audio.
  
      @param seed: a NumPy random generator (or seed) such that the results
          remain reproducible
  
      @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 (
          0.0 <= offset_factor <= 1.0
      ), "Expected 'offset_factor' to be a number in the range [0, 1]"
      audio, sample_rate = audutils.validate_and_load_audio(
          audio, sample_rate
      )
  
      if metadata is not None:
          func_kwargs = deepcopy(locals())
          func_kwargs.pop("metadata")
          func_kwargs.pop("seed")
  
      random_generator = audutils.check_random_state(seed)
      if background_audio is None:
          background_audio = random_generator.standard_normal(
              audio.shape
          )
      else:
          background_audio, _ = audutils.validate_and_load_audio(
              background_audio, sample_rate
          )
          num_channels = 1 if audio.ndim == 1 else audio.shape[0]
          bg_num_channels = (
              1
              if background_audio.ndim == 1
              else background_audio.shape[0]
          )
          if bg_num_channels != num_channels:
              background_audio, _background_sr = to_mono(
                  background_audio
              )
              if num_channels > 1:
                  background_audio = np.tile(
                      background_audio, (num_channels, 1)
                  )
  
      num_samples_bg = background_audio.shape[-1]
      offset = int(offset_factor * num_samples_bg)
      aug_audio = np.hstack(
          [
              background_audio[..., :offset],
              audio,
              background_audio[..., offset:],
          ]
      )
  
      if metadata is not None:
          audutils.get_metadata(
              metadata=metadata,
              function_name="insert_in_background",
              dst_audio=aug_audio,
              dst_sample_rate=sample_rate,
              background_duration=background_audio.shape[-1]
              / sample_rate,
              offset=offset,
              # pyre-fixme[61]: `func_kwargs` may not be initialized here.
              **func_kwargs,
          )
  
      return audutils.ret_and_save_audio(
          aug_audio, output_path, 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 8 for calling a global function with example usage: insert_in_background(audio, sample_rate, offset_factor, background_audio, seed, output_path, metadata) and returns: audutils