code: def test_save_restore_single_step(self):
      future_seq_len = 1
      x_train, y_train = self.feat._roll_train(
          self.train_data,
          past_seq_len=self.past_seq_len,
          future_seq_len=future_seq_len,
      )
      x_test = self.feat._roll_test(
          self.test_data, past_seq_len=self.past_seq_len
      )
      model = LSTMSeq2Seq(future_seq_len=future_seq_len)
      model.fit_eval((x_train, y_train), **self.config)
  
      predict_before = model.predict(x_test)
      new_model = LSTMSeq2Seq()
  
      ckpt = os.path.join("/tmp", "seq2seq.ckpt")
      model.save(ckpt)
      new_model.restore(ckpt)
      predict_after = new_model.predict(x_test)
      assert_array_almost_equal(
          predict_before, predict_after, decimal=2
      ), "Prediction values are not the same after restore: " "predict before is {}, and predict after is {}".format(
          predict_before, predict_after
      )
      new_config = {"epochs": 1}
      new_model.fit_eval((x_train, y_train), **new_config)
      os.remove(ckpt)
  
imports: import os
  import shutil
  import tempfile
  import pytest
  from test.zoo.pipeline.utils.test_utils import ZooTestCase
  from zoo.chronos.model.Seq2Seq import LSTMSeq2Seq
  from zoo.chronos.autots.deprecated.feature.time_sequence import TimeSequenceFeatureTransformer
  from numpy.testing import assert_array_almost_equal
  import pandas
  import numpy
label_desc: Use image node_id 10 for calling the TestSeq2Seq obj's underlying member method code with example usage: obj.test_save_restore_single_step() without return types