code: def test_corpus_with_single_files_should_load(
      train_files, dev_files, test_files, expected_size
  ):
      corpus = MultiFileJsonlCorpus(train_files, dev_files, test_files)
      assert len(corpus.get_all_sentences()) == expected_size
  
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 40 for calling a global function with example usage: test_corpus_with_single_files_should_load(train_files, dev_files, test_files, expected_size) without return types