code: def test_reset_cache(X):
      d = Bernoulli()
      d.summarize(X)
      assert_array_almost_equal(d._w_sum, [7.0, 7.0, 7.0])
      assert_array_almost_equal(d._xw_sum, [5.0, 4.0, 4.0])
  
      d._reset_cache()
      assert_array_almost_equal(d._w_sum, [0.0, 0.0, 0.0])
      assert_array_almost_equal(d._xw_sum, [0.0, 0.0, 0.0])
  
      d = Bernoulli()
      assert_raises(AttributeError, getattr, d, "_w_sum")
      assert_raises(AttributeError, getattr, d, "_xw_sum")
      assert_raises(AttributeError, getattr, d, "_log_probs")
      assert_raises(AttributeError, getattr, d, "_log_inv_probs")
  
      d._reset_cache()
      assert_raises(AttributeError, getattr, d, "_w_sum")
      assert_raises(AttributeError, getattr, d, "_xw_sum")
      assert_raises(AttributeError, getattr, d, "_log_probs")
      assert_raises(AttributeError, getattr, d, "_log_inv_probs")
  
imports: import os
  import numpy
  import torch
  import pytest
  from pomegranate.distributions import Bernoulli
  from ._utils import _test_initialization_raises_one_parameter
  from ._utils import _test_initialization
  from ._utils import _test_predictions
  from ._utils import _test_efd_from_summaries
  from ._utils import _test_raises
  from nose.tools import assert_raises
  from numpy.testing import assert_array_almost_equal
label_desc: Use image node_id 9 for calling a global function with example usage: test_reset_cache(X) without return types