code: def normalize(
      array: np.ndarray,
      threshold: float,
      epsilon: float,
      normalize_clipped: bool,
  ) -> (np.ndarray, float):
      coefficient = 1.0
      max_value = np.abs(array).max()
      if max_value < threshold or normalize_clipped:
          coefficient = max(epsilon, max_value / threshold)
      return array / coefficient, coefficient
  
imports: import numpy
  import statsmodels.api
label_desc: Use image node_id 14 for calling a global function with example usage: normalize(array, threshold, epsilon, normalize_clipped) and returns: unknown,  coefficient