code: def setUpClass(cls):
      env_config_path = os.path.abspath(
          os.path.join(
              os.path.dirname(__file__), "..", "..", "..", ".env"
          )
      )
      load_dotenv(env_config_path)
  
      model_dir = os.environ.get("MODEL_DIR")
  
      full_test_case = False
  
      cls.text = "The quick brown fox jumps over the lazy dog."
  
      cls.word2vec_model_path = os.path.join(
          model_dir,
          "word",
          "word_embs",
          "GoogleNews-vectors-negative300.bin",
      )
  
      cls.augs = [
          naw.WordEmbsAug(
              model_type="word2vec", model_path=cls.word2vec_model_path
          ),
          naw.WordEmbsAug(
              model_type="glove",
              model_path=os.path.join(
                  model_dir, "word", "word_embs", "glove.6B.50d.txt"
              ),
          ),
          naw.WordEmbsAug(
              model_type="fasttext",
              model_path=os.path.join(
                  model_dir,
                  "word",
                  "word_embs",
                  "wiki-news-300d-1M.vec",
              ),
          ),
      ]
  
      if full_test_case:
          cls.augs.extend(
              [
                  naw.WordEmbsAug(
                      model_type="glove",
                      model_path=model_dir + "glove.42B.300d.txt",
                  ),
                  naw.WordEmbsAug(
                      model_type="glove",
                      model_path=model_dir + "glove.840B.300d.txt",
                  ),
                  naw.WordEmbsAug(
                      model_type="glove",
                      model_path=model_dir
                      + "glove.twitter.27B.25d.txt",
                  ),
                  naw.WordEmbsAug(
                      model_type="glove",
                      model_path=model_dir
                      + "glove.twitter.27B.50d.txt",
                  ),
                  naw.WordEmbsAug(
                      model_type="glove",
                      model_path=model_dir
                      + "glove.twitter.27B.100d.txt",
                  ),
                  naw.WordEmbsAug(
                      model_type="glove",
                      model_path=model_dir
                      + "glove.twitter.27B.200d.txt",
                  ),
                  naw.WordEmbsAug(
                      model_type="fasttext",
                      model_path=model_dir
                      + "wiki-news-300d-1M-subword.vec",
                  ),
                  naw.WordEmbsAug(
                      model_type="fasttext",
                      model_path=model_dir + "crawl-300d-2M.vec",
                  ),
                  naw.WordEmbsAug(
                      model_type="fasttext",
                      model_path=model_dir
                      + "crawl-300d-2M-subword.vec",
                  ),
              ]
          )
  
file_path: nlpaug/test/augmenter/word/test_word_embs.py
imports: import unittest
  import os
  from dotenv import load_dotenv
  import nlpaug.augmenter.word
label_desc: Use image node_id 1 for calling the TestWordEmbsAug obj's underlying member method code with example usage: obj.setUpClass(cls) without return types