code: def test_identifiers_large_binary(self):
      X = np.array(["a", "b", "c", "d", "e"])
      y = np.array([1, 0, 1, 0, 1])
      out = encoders.JamesSteinEncoder(model="binary").fit_transform(
          X, y
      )
      self.assertTrue(
          all(np.var(out, axis=0) == 0),
          "This is not a standard behaviour of James-Stein estimator. But it helps a lot if we treat id-like attributes as non-predictive.",
      )
  
imports: from unittest import TestCase
  import numpy
  import category_encoders
label_desc: Use image node_id 16 for calling the TestJamesSteinEncoder obj's underlying member method code with example usage: obj.test_identifiers_large_binary() without return types