code: def test_LEcuyer():
      n_generated = [rng.LEcuyer() for i in range(10000)]
      chisq, pvalue = chisquare(n_generated)
      # P-values equal 1 show evidence of the null hypothesis which indicates
      # that it is uniformly distributed. This is what we want to check here
      npt.assert_almost_equal(pvalue, 1.0)
      npt.assert_raises(ValueError, rng.LEcuyer, s2=0)
  
imports: from scipy.stats import chisquare
  from dipy.core import rng
  import numpy.testing
label_desc: Use image node_id 3 for calling a global function with example usage: test_LEcuyer() without return types