code: def _get_itakura_slopes(n_timestamps_1, n_timestamps_2, max_slope):
      """Compute the slopes of the parallelogram bounds."""
      if not isinstance(n_timestamps_1, (int, np.integer)):
          raise TypeError("'n_timestamps_1' must be an integer.")
      else:
          if not n_timestamps_1 >= 2:
              raise ValueError(
                  "'n_timestamps_1' must be an integer greater than"
                  " or equal to 2."
              )
  
      if not isinstance(
          max_slope, (int, np.integer, float, np.floating)
      ):
          raise TypeError("'max_slope' must be an integer or a float.")
      else:
          if not max_slope >= 1:
              raise ValueError(
                  "'max_slope' must be a number greater "
                  "than or equal to 1."
              )
  
      min_slope = 1 / max_slope
      scale_max = (n_timestamps_2 - 1) / (n_timestamps_1 - 2)
      max_slope *= scale_max
      max_slope = max(1.0, max_slope)
  
      scale_min = (n_timestamps_2 - 2) / (n_timestamps_1 - 1)
  
      min_slope *= scale_min
      min_slope = min(1.0, min_slope)
      return min_slope, max_slope
  
imports: import numpy
  from math import ceil, log2, sqrt
  from numba import njit, prange
  from sklearn.utils import check_array
label_desc: Use image node_id 20 for calling a global function with example usage: _get_itakura_slopes(n_timestamps_1, n_timestamps_2, max_slope) and returns: min_slope,  max_slope