code: def __init__(self):
      self.batch = 64
      self.units = 128
      self.encoder_timestep = 10
      self.encoder_dim = 256
      self.decoder_timestep = 12
      self.encoder_outputs = np.random.randn(
          self.batch, self.encoder_timestep, self.encoder_dim
      )
      self.encoder_sequence_length = np.random.randint(
          1, high=self.encoder_timestep, size=(self.batch,)
      ).astype(np.int32)
      self.decoder_inputs = np.random.randn(
          self.batch, self.decoder_timestep, self.units
      )
      self.decoder_sequence_length = np.random.randint(
          self.decoder_timestep, size=(self.batch,)
      ).astype(np.int32)
  
imports: import collections
  from packaging.version import Version
  import pytest
  import numpy
  import tensorflow
  from tensorflow_addons.seq2seq import attention_wrapper
  from tensorflow_addons.seq2seq import basic_decoder
  from tensorflow_addons.seq2seq import sampler
label_desc: Use image node_id 1 to create a new DummyData2 object  with example: obj = DummyData2()