class_docstr: Vasicek results are compared with the R package vsgoftest.
  
  # library(vsgoftest)
  #
  # samp <- c(<values>)
  # entropy.estimate(x = samp, window = <window_length>)
class_docstr_tok: ["Vasicek","results","are","compared","with","the","R","package","vsgoftest",".","#","library","(","vsgoftest",")","#","#","samp","<","-","c","(","<","values",">",")","#","entropy.estimate","(","x","=","samp",",","window","=","<","window_length",">",")"]
code: def test_differential_entropy_vasicek_2d_nondefault_axis(self):
      random_state = np.random.RandomState(0)
      values = random_state.standard_normal((3, 100))
  
      entropy = stats.differential_entropy(
          values, axis=1, method="vasicek"
      )
      assert_allclose(
          entropy,
          [1.342551, 1.341826, 1.293775],
          rtol=1e-6,
      )
  
      entropy = stats.differential_entropy(
          values, axis=1, window_length=1, method="vasicek"
      )
      assert_allclose(
          entropy,
          [1.122044, 1.102944, 1.129616],
          rtol=1e-6,
      )
  
      entropy = stats.differential_entropy(
          values, axis=1, window_length=8, method="vasicek"
      )
      assert_allclose(
          entropy,
          [1.349401, 1.338514, 1.292332],
          rtol=1e-6,
      )
  
imports: import numpy
  from numpy.testing import assert_equal, assert_allclose
  from numpy.testing import assert_, assert_almost_equal, assert_array_almost_equal
  import pytest
  from pytest import raises
  import scipy.stats
label_desc: Use image node_id 2 for calling the TestDifferentialEntropy obj's underlying member method code with example usage: obj.test_differential_entropy_vasicek_2d_nondefault_axis() without return types