code: def coefficient_of_variation(b):
      r"""The coefficient of variation is the square root of two times the
      :func:`generalized_entropy_index` with :math:`\alpha = 2`.
  
      Args:
          b (array-like): Parameter over which to calculate the entropy index.
  
      See also:
          :func:`generalized_entropy_index`
      """
      return np.sqrt(2 * generalized_entropy_index(b, alpha=2))
  
imports: from itertools import permutations
  from typing import Union
  import warnings
  import numpy
  import pandas
  from scipy.special import rel_entr
  from sklearn.metrics import make_scorer, recall_score, precision_score
  from sklearn.metrics import multilabel_confusion_matrix
  from sklearn.metrics._classification import _prf_divide, _check_zero_division
  from sklearn.neighbors import NearestNeighbors
  from sklearn.utils import check_X_y
  from aif360.metrics import ot_metric
  from aif360.sklearn.utils import check_inputs, check_groups
  from aif360.detectors.mdss.ScoringFunctions import BerkJones, Bernoulli
  from aif360.detectors.mdss.MDSS import MDSS
label_desc: Use image node_id 33 for calling a global function with example usage: coefficient_of_variation(b) and returns: np