code: def test_reset_cache(X):
      d = StudentT(3)
      d.summarize(X)
      assert_array_almost_equal(d._w_sum, [7.0, 7.0, 7.0])
      assert_array_almost_equal(d._xw_sum, [17.099998, 9.7, 10.599999])
      assert_array_almost_equal(
          d._xxw_sum, [58.59, 16.369999, 27.720001]
      )
  
      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])
      assert_array_almost_equal(d._xxw_sum, [0.0, 0.0, 0.0])
  
      d = StudentT(3)
      assert_raises(AttributeError, getattr, d, "_w_sum")
      assert_raises(AttributeError, getattr, d, "_xw_sum")
      assert_raises(AttributeError, getattr, d, "_xxw_sum")
  
      assert_raises(AttributeError, getattr, d, "_inv_cov")
      assert_raises(AttributeError, getattr, d, "_inv_cov_dot_mu")
      assert_raises(AttributeError, getattr, d, "_log_det")
      assert_raises(AttributeError, getattr, d, "_log_sigma_sqrt_2pi")
  
      d._reset_cache()
      assert_raises(AttributeError, getattr, d, "_w_sum")
      assert_raises(AttributeError, getattr, d, "_xw_sum")
      assert_raises(AttributeError, getattr, d, "_xxw_sum")
  
      assert_raises(AttributeError, getattr, d, "_inv_cov")
      assert_raises(AttributeError, getattr, d, "_inv_cov_dot_mu")
      assert_raises(AttributeError, getattr, d, "_log_det")
      assert_raises(AttributeError, getattr, d, "_log_sigma_sqrt_2pi")
  
imports: import os
  import numpy
  import torch
  import pytest
  from pomegranate.distributions import StudentT
  from ._utils import _test_initialization_raises_two_parameters
  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 10 for calling a global function with example usage: test_reset_cache(X) without return types