code: def test_potential_function_zeros():
      dists = np.zeros(10)
      value = BaseProbabilistic.potential_func(dists)
      assert np.array_equal(value, np.ones(10))
  
imports: import numpy
  import pytest
  from sklearn.linear_model import Perceptron
  from sklearn.utils.estimator_checks import check_estimator
  from deslib.des.probabilistic import BaseProbabilistic, Logarithmic, Exponential, RRC, DESKL, MinimumDifference
label_desc: Use image node_id 11 for calling a global function with example usage: test_potential_function_zeros() without return types