code: def test_remove_articles():
      sentences = [
          "this is an apple",
          "this is the apple",
          "this is a fruit",
      ]
  
      expected_article_removed_sents = [
          "this is   apple",
          "this is   apple",
          "this is   fruit",
      ]
  
      article_removed_sents = [
          QAMetrics.remove_articles(sent) for sent in sentences
      ]
  
      assert article_removed_sents == expected_article_removed_sents
  
file_path: NeMo/tests/collections/nlp/test_qna.py
imports: import collections
  import pytest
  import torch
  from nemo.collections.nlp.data.question_answering.dataset.qa_dataset import QADataset
  from nemo.collections.nlp.data.question_answering.dataset.qa_gpt_dataset import GPTQADataset
  from nemo.collections.nlp.metrics.qa_metrics import QAMetrics
label_desc: Use image node_id 1 for calling a global function with example usage: test_remove_articles() without return types