code: def test_encode_and_decode(self):
      sentences = [
          "Everyone really likes the newest benefits",
          "The Government Executive articles housed on the website are not able to be searched",
          "Most of Mrinal Sen 's work can be found in European collections . ",
          "Would you rise up and defeaat all evil lords in the town ? ",
          None,
      ]
  
      encoder = RnnEncoder(encoded_vector_size=10, train_iters=7500)
      encoder.prepare(pd.Series(sentences), pd.Series(sentences))
      encoder.encode(sentences)
  
      # test de decoder
  
      ret = encoder.encode(
          ["Everyone really likes the newest benefits"]
      )
      print("encoded vector:")
      print(ret)
      print("decoded vector")
      ret2 = encoder.decode(ret)
      print(ret2)
  
file_path: lightwood/tests/unit_tests/encoder/text/test_rnn.py
imports: import unittest
  from lightwood.encoder.text import RnnEncoder
  import pandas
label_desc: Use image node_id 1 for calling the TestRnnEncoder obj's underlying member method code with example usage: obj.test_encode_and_decode() without return types