code: def test_multi_encoding_empty_row(self):
      vocab = self.get_vocab()
      tags = [
          list(set(random.choices(vocab, k=random.randint(1, 3))))
          for i in range(10)
      ]
      tags.append([])
  
      enc = MultiHotEncoder()
      enc.prepare(tags)
  
      encoded_data = enc.encode(tags)
      decoded_data = enc.decode(encoded_data)
  
      test_labels_str = [str(sorted(t)) for t in tags]
      decoded_labels_str = [str(sorted(t)) for t in decoded_data]
      encoder_accuracy = accuracy_score(
          test_labels_str, decoded_labels_str
      )
      self.assertEqual(encoder_accuracy, 1)
  
file_path: lightwood/tests/unit_tests/encoder/categorical/test_multihot.py
imports: import unittest
  import numpy
  import random
  import string
  from sklearn.metrics import accuracy_score
  from lightwood.encoder.categorical.multihot import MultiHotEncoder
label_desc: Use image node_id 3 for calling the TestMultiHotEncoder obj's underlying member method code with example usage: obj.test_multi_encoding_empty_row() without return types