code: def test_one_hot_encode(self):
      encoder = text_encoder.OneHotClassLabelEncoder(
          class_labels=["zero", "one", "two"]
      )
      self.assertEqual(encoder.encode("zero"), [1, 0, 0])
      self.assertEqual(encoder.encode("one"), [0, 1, 0])
      self.assertEqual(encoder.encode("two"), [0, 0, 1])
  
imports: import collections
  import io
  import os
  import random
  import shutil
  import string
  import mock
  from six.moves import range
  import tensorflow.compat.v1
  from trax.data import text_encoder
label_desc: Use image node_id 1 for calling the OneHotClassLabelEncoderTest obj's underlying member method code with example usage: obj.test_one_hot_encode() without return types