code: def test_train_charlm_projection(
      self, tmp_path, wordvec_pretrain_file, charlm_args
  ):
      extra_args = charlm_args + ["--charlm_transform_dim", "100"]
      trainer = self.run_training(
          tmp_path,
          wordvec_pretrain_file,
          TRAIN_DATA,
          DEV_DATA,
          extra_args=extra_args,
      )
  
imports: import os
  import pytest
  import torch
  from stanza.models import tagger
  from stanza.models.common import pretrain
  from stanza.models.pos.trainer import Trainer
  from stanza.tests import TEST_WORKING_DIR, TEST_MODELS_DIR
  from stanza.utils.training.common import choose_pos_charlm, build_charlm_args
label_desc: Use image node_id 10 for calling the TestTagger obj's underlying member method code with example usage: obj.test_train_charlm_projection(tmp_path, wordvec_pretrain_file, charlm_args) without return types