code: def test_categorical_exact_weighted(X, w):
      structure = _categorical_exact(X, w)
      assert_tuple_equal(structure, ((), (0,), (0, 1), ()))
  
      structure = _categorical_exact(X, w, max_parents=1)
      assert_tuple_equal(structure, ((), (0,), (), ()))
  
imports: import numpy
  import torch
  import pytest
  from pomegranate.bayesian_network import BayesianNetwork
  from pomegranate.bayesian_network import _from_structure
  from pomegranate.bayesian_network import _learn_structure
  from pomegranate.bayesian_network import _categorical_exact
  from pomegranate.bayesian_network import _categorical_chow_liu
  from pomegranate.distributions import Categorical
  from pomegranate.distributions import ConditionalCategorical
  from nose.tools import assert_raises
  from numpy.testing import assert_array_almost_equal
label_desc: Use image node_id 11 for calling a global function with example usage: test_categorical_exact_weighted(X, w) without return types