code: def constituency_model(self, fake_embeddings, tmp_path_factory):
      args = [
          "--pattn_num_layers",
          "0",
          "--lattn_d_proj",
          "0",
          "--hidden_size",
          "20",
          "--delta_embedding_dim",
          "10",
      ]
      trainer = build_trainer(
          str(fake_embeddings), *args, treebank=TREEBANK
      )
  
      trainer_pt = str(
          tmp_path_factory.mktemp("constituency") / "constituency.pt"
      )
      trainer.save(trainer_pt, save_optimizer=False)
      return trainer_pt
  
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 1 for calling the TestConstituencyClassifier obj's underlying member method code with example usage: obj.constituency_model(fake_embeddings, tmp_path_factory) and returns: trainer_pt