code: def _kumaraswamy_mode(a, b):
      a = np.asarray(a)
      b = np.asarray(b)
      return ((a - 1) / (a * b - 1)) ** (1 / a)
  
imports: import numpy
  from scipy import special
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kumaraswamy
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 1 for calling a global function with example usage: _kumaraswamy_mode(a, b) and returns: unknown