code: def test_small_samples_independent(self):
      X = np.array(["a", "b", "b"])
      y = np.array([1, 0, 1])
      out = encoders.JamesSteinEncoder(
          return_df=False, model="independent"
      ).fit_transform(X, y)
      self.assertEqual(
          [1, 0.5, 0.5],
          list(out),
          "When the count of unique values in the column is <4 (here it is 2), James-Stein estimator returns (unbiased) sample means",
      )
  
imports: from unittest import TestCase
  import numpy
  import category_encoders
label_desc: Use image node_id 1 for calling the TestJamesSteinEncoder obj's underlying member method code with example usage: obj.test_small_samples_independent() without return types