code: def get_window_dispatch(window, N, fftbins=True):
      if isinstance(window, str):
          return get_window(window, N, fftbins=fftbins)
      elif isinstance(window, tuple):
          if window[0] == "gaussian":
              assert window[1] >= 0
              sigma = np.floor(
                  -N / 2 / np.sqrt(-2 * np.log(10 ** (-window[1] / 20)))
              )
              return get_window(("gaussian", sigma), N, fftbins=fftbins)
          else:
              Warning(
                  "Tuple windows may have undesired behaviour regarding Q factor"
              )
      elif isinstance(window, float):
          Warning(
              "You are using Kaiser window with beta factor "
              + str(window)
              + ". Correct behaviour not checked."
          )
      else:
          raise Exception(
              "The function get_window from scipy only supports strings, tuples and floats."
          )
  
imports: import sys
  import torch
  from torch.nn.functional import conv1d, fold
  import numpy
  from time import time
  import math
  from scipy.signal import get_window
  from scipy import signal
  from scipy.fftpack import fft
  import warnings
  from nnAudio.librosa_functions import *
label_desc: Use image node_id 15 for calling a global function with example usage: get_window_dispatch(window, N, fftbins) and returns: get_window, get_window