code: def setUp(self):
      self.field = ContextualTokenEmbeddingField(
          pad_token=None, unk_token=None, batch_first=True
      )
      self.unpadded_batch = [
          [
              [0.1, 0.2, 0.3, 0.4, 0.5],
              [1.1, 1.2, 1.3, 1.4, 1.5],
              [2.1, 2.2, 2.3, 2.4, 2.5],
              [3.1, 3.2, 3.3, 3.4, 3.5],
          ],
          [
              [0.1, 0.2, 0.3, 0.4, 0.5],
              [1.1, 1.2, 1.3, 1.4, 1.5],
              [2.1, 2.2, 2.3, 2.4, 2.5],
          ],
          [[0.1, 0.2, 0.3, 0.4, 0.5], [1.1, 1.2, 1.3, 1.4, 1.5]],
      ]
      self.expected_padded_batch = [
          [
              [0.1, 0.2, 0.3, 0.4, 0.5],
              [1.1, 1.2, 1.3, 1.4, 1.5],
              [2.1, 2.2, 2.3, 2.4, 2.5],
              [3.1, 3.2, 3.3, 3.4, 3.5],
          ],
          [
              [0.1, 0.2, 0.3, 0.4, 0.5],
              [1.1, 1.2, 1.3, 1.4, 1.5],
              [2.1, 2.2, 2.3, 2.4, 2.5],
              [0.0, 0.0, 0.0, 0.0, 0.0],
          ],
          [
              [0.1, 0.2, 0.3, 0.4, 0.5],
              [1.1, 1.2, 1.3, 1.4, 1.5],
              [0.0, 0.0, 0.0, 0.0, 0.0],
              [0.0, 0.0, 0.0, 0.0, 0.0],
          ],
      ]
  
imports: import unittest
  import numpy
  from pytext.fields.contextual_token_embedding_field import ContextualTokenEmbeddingField
label_desc: Use image node_id 1 for calling the ContextualTokenEmbeddingFieldTest obj's underlying member method code with example usage: obj.setUp() without return types