code: def get_vocab(self):
      return [
          "".join(random.choices(string.ascii_uppercase, k=5))
          for i in range(10)
      ]
  
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 1 for calling the TestMultiHotEncoder obj's underlying member method code with example usage: obj.get_vocab() and returns: unknown