code: def test_multi_file_jsonl_corpus_should_use_label_type(
      tasks_base_path,
  ):
      corpus = MultiFileJsonlCorpus(
          train_files=[tasks_base_path / "jsonl/train.jsonl"],
          dev_files=[tasks_base_path / "jsonl/testa.jsonl"],
          test_files=[tasks_base_path / "jsonl/testb.jsonl"],
          label_type="pos",
      )
  
      for sentence in corpus.get_all_sentences():
          assert sentence.has_label("pos")
          assert not sentence.has_label("ner")
  
imports: import copy
  import shutil
  import pytest
  import flair
  import flair.datasets
  from flair.data import MultiCorpus, Sentence
  from flair.datasets import ColumnCorpus
  from flair.datasets.sequence_labeling import ONTONOTES, JsonlCorpus, JsonlDataset, MultiFileJsonlCorpus
label_desc: Use image node_id 31 for calling a global function with example usage: test_multi_file_jsonl_corpus_should_use_label_type(tasks_base_path) without return types