code: def test_explicit_sigma(sampler_cls):
      X = np.array([[0, 1], [1, 1], [0, 2]])
      s = sampler_cls(sigma=0.5)
      s.fit(X)
      assert s.sigma == 0.5
      assert s.sigma_ == 0.5
  
file_path: eli5/tests/test_samplers.py
imports: from functools import partial
  import numpy
  import pytest
  from hypothesis import given
  from hypothesis.strategies import integers, text
  from eli5.lime.samplers import MaskingTextSampler, MaskingTextSamplers, UnivariateKernelDensitySampler, MultivariateKernelDensitySampler
  from sklearn.neighbors import KernelDensity
label_desc: Use image node_id 10 for calling a global function with example usage: test_explicit_sigma(sampler_cls) without return types