code: def anderson_darling(x):
      """Anderson-Darling test for a standard normal distribution."""
      x = np.sort(np.ravel(x))
      n = len(x)
      i = np.linspace(1, n, n)
      z = np.sum(
          (2 * i - 1) * np.log(normal_cdf(x))
          + (2 * (n - i) + 1) * np.log(1 - normal_cdf(x))
      )
      return -n - z / n
  
imports: import math
  import numpy
  from tensorflow.python.ops.distributions import special_math
label_desc: Use image node_id 4 for calling a global function with example usage: anderson_darling(x) and returns: unknown