code: def test_embeddings_word2vec_lat(self):
      embeddings_obj = Word2VecEmbeddings(
          iso_code="lat",
          interactive=False,
          silent=True,
          overwrite=False,
      )
      most_similar_word = embeddings_obj.get_sims(word="amicitia")[0][0]
      self.assertEqual(most_similar_word, "amicitiam")
  
      self.assertIsInstance(embeddings_obj, Word2VecEmbeddings)
  
imports: import unittest
  from typing import List
  import numpy
  from cltk.core.data_types import Doc, Word
  from cltk.core.exceptions import CLTKException, UnimplementedAlgorithmError, UnknownLanguageError
  from cltk.embeddings.embeddings import FastTextEmbeddings, Word2VecEmbeddings
  from cltk.embeddings.processes import AramaicEmbeddingsProcess, GothicEmbeddingsProcess, GreekEmbeddingsProcess, LatinEmbeddingsProcess, OldEnglishEmbeddingsProcess, PaliEmbeddingsProcess, SanskritEmbeddingsProcess
  from cltk.languages.example_texts import get_example_text
label_desc: Use image node_id 13 for calling the TestEmbedding obj's underlying member method code with example usage: obj.test_embeddings_word2vec_lat() without return types