code: def test_int(self, reset_randomstate):
      x = np.random.randint(0, 100, size=1000)
      kde = nparam.KDEUnivariate(x)
      kde.fit()
  
      kde_double = nparam.KDEUnivariate(x.astype("double"))
      kde_double.fit()
  
      assert_allclose(kde.bw, kde_double.bw)
  
imports: import numpy
  import numpy.testing
  import pytest
  from numpy.testing import assert_allclose, assert_equal
  import statsmodels.api
label_desc: Use image node_id 4 for calling the TestKDEUnivariate obj's underlying member method code with example usage: obj.test_int(reset_randomstate) without return types