code: def test_embeddings_processes_got(self):
      language = "got"  # type: str
      example_text = get_example_text(language)  # str
      word_objs = [
          Word(string=word_obj) for word_obj in example_text.split(" ")
      ]  # type: List[Word]
      a_process = (
          GothicEmbeddingsProcess()
      )  # type: GothicEmbeddingsProcess
      a_doc = a_process.run(
          input_doc=Doc(raw=get_example_text(language), words=word_objs)
      )  # type: Doc
      self.assertIsInstance(a_doc.words[1].embedding, numpy.ndarray)
  
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 16 for calling the TestEmbedding obj's underlying member method code with example usage: obj.test_embeddings_processes_got() without return types