code: def test_encode_and_decode(self):
      data = [1, 1.1, 2, -8.6, 0]
  
      encoder = IdentityEncoder()
  
      encoded_vals = encoder.encode(data)
  
      self.assertTrue(isinstance(encoded_vals, torch.Tensor))
  
      for i in range(len(encoded_vals)):
          self.assertTrue(abs(encoded_vals[i].item() - data[i]) <= 1e-5)
  
      decoded_vals = encoder.decode(encoded_vals)
  
      self.assertTrue(isinstance(decoded_vals, List))
  
      for i in range(len(decoded_vals)):
          self.assertTrue(abs(decoded_vals[i] - data[i]) <= 1e-5)
  
imports: import unittest
  import torch
  from typing import List
  from lightwood.encoder.identity.identity import IdentityEncoder
label_desc: Use image node_id 1 for calling the TestIdentityEncoder obj's underlying member method code with example usage: obj.test_encode_and_decode() without return types