code: def test_zero_variance(self):
      X = np.array(["a", "b", "c", "d", "d"])
      y = np.array([0, 1, 1, 1, 1])
      out = encoders.JamesSteinEncoder(
          return_df=False, model="independent"
      ).fit_transform(X, y)
      self.assertEqual(
          [0, 1, 1, 1, 1],
          list(out),
          "Should not result into division by zero",
      )
  
imports: from unittest import TestCase
  import numpy
  import category_encoders
label_desc: Use image node_id 3 for calling the TestJamesSteinEncoder obj's underlying member method code with example usage: obj.test_zero_variance() without return types