docstr: Test that writing out a temp model, then loading it in the pipeline is a thing that works
docstr_tok: ["Test","that","writing","out","a","temp","model",",","then","loading","it","in","the","pipeline","is","a","thing","that","works"]
code: def test_train_pipeline(
      self,
      tmp_path,
      constituency_model,
      fake_embeddings,
      train_file_with_trees,
      dev_file_with_trees,
  ):
      """
      Test that writing out a temp model, then loading it in the pipeline is a thing that works
      """
      trainer, _, args = self.run_training(
          tmp_path,
          constituency_model,
          fake_embeddings,
          train_file_with_trees,
          dev_file_with_trees,
      )
      save_filename = os.path.join(args.save_dir, args.save_name)
      assert os.path.exists(save_filename)
      assert os.path.exists(args.constituency_model)
  
      pipeline_args = {
          "lang": "en",
          "download_method": None,
          "model_dir": TEST_MODELS_DIR,
          "processors": "tokenize,pos,constituency,sentiment",
          "tokenize_pretokenized": True,
          "constituency_model_path": args.constituency_model,
          "constituency_pretrain_path": args.wordvec_pretrain_file,
          "constituency_backward_charlm_path": None,
          "constituency_forward_charlm_path": None,
          "sentiment_model_path": save_filename,
          "sentiment_pretrain_path": args.wordvec_pretrain_file,
          "sentiment_backward_charlm_path": None,
          "sentiment_forward_charlm_path": None,
      }
      pipeline = stanza.Pipeline(**pipeline_args)
      doc = pipeline("This is a test")
      # since the model is random, we have no expectations for what the result actually is
      assert doc.sentences[0].sentiment is not None
  
imports: import os
  import pytest
  import stanza
  import stanza.models.classifier
  import stanza.models.classifiers.data
  from stanza.models.classifiers.trainer import Trainer
  from stanza.tests import TEST_MODELS_DIR
  from stanza.tests.classifiers.test_classifier import fake_embeddings
  from stanza.tests.classifiers.test_data import train_file_with_trees, dev_file_with_trees
  from stanza.models.common import utils
  from stanza.tests.constituency.test_trainer import build_trainer, TREEBANK
label_desc: Use image node_id 7 for calling the TestConstituencyClassifier obj's underlying member method code with example usage: obj.test_train_pipeline(tmp_path, constituency_model, fake_embeddings, train_file_with_trees, dev_file_with_trees) without return types