code: def test_reset_cache(X):
      d = Uniform()
      d.summarize(X)
      assert_array_almost_equal(d._x_mins, [0.5, 0.2, 0.1])
      assert_array_almost_equal(d._x_maxs, [5.4, 2.1, 4.0])
  
      d._reset_cache()
      assert_array_almost_equal(d._x_mins, [INF, INF, INF])
      assert_array_almost_equal(d._x_maxs, [NEGINF, NEGINF, NEGINF])
  
      d = Uniform()
      assert_raises(AttributeError, getattr, d, "_x_mins")
      assert_raises(AttributeError, getattr, d, "_x_maxs")
      assert_raises(AttributeError, getattr, d, "_logps")
  
      d._reset_cache()
      assert_raises(AttributeError, getattr, d, "_x_mins")
      assert_raises(AttributeError, getattr, d, "_x_maxs")
      assert_raises(AttributeError, getattr, d, "_logps")
  
imports: import os
  import numpy
  import torch
  import pytest
  from pomegranate.distributions import Uniform
  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