text: """File paths used in testing."""
  
  # -*- coding: utf-8 -*-
  
  import os
  
  ROOT_DIR = os.path.abspath(os.path.join(__file__, "../../.."))
  
  # CORD-19 paths
  metadata_path = os.path.join(ROOT_DIR, 'input/cord19/test_metadata.csv')
  sample_metadata_path = os.path.join(ROOT_DIR, 'tests/data/resources/cord19/test_metadata.csv')
  
  # CORD-19 json files zip folder path
  json_text_file_dir = os.path.join(ROOT_DIR, 'input/cord19/test_document_parses.zip')
  sample_json_text_file_dir = os.path.join(ROOT_DIR, 'tests/data/resources/cord19/test_document_parses.zip')
  sample_json_text_file_dir_tar = os.path.join(ROOT_DIR, 'tests/data/resources/cord19/test_document_parses.tar.gz')
  
  # Path for temporary file storage during CORD-19 processing
  json_temp_path = os.path.join(ROOT_DIR, 'input/cord19/extracted/')
  sample_json_temp_path = os.path.join(ROOT_DIR, 'tests/data/resources/cord19/extracted/')
  
  # CORD-19 pdf files to be extracted
  pdf_filenames = ['document_parses/pdf_json/000a0fc8bbef80410199e690191dc3076a290117.json',
                   'document_parses/pdf_json/000affa746a03f1fe4e3b3ef1a62fdfa9b9ac52a.json']
  
  # CORD-19 pmc files to be extracted
  pmc_filenames = ['document_parses/pmc_json/PMC1054884.xml.json',
                   'document_parses/pmc_json/PMC1065028.xml.json']
  
  # CORD-19 publication cut off date
  pub_date_cutoff = '2019-10-01'
  
  # CORD-19 dataframe path
  sample_covid19_df_path = os.path.join(ROOT_DIR, 'tests/data/resources/cord19_processed/test_covid19.csv')
  
  # Claims dataframe paths
  sample_raw_claims_df_path = os.path.join(ROOT_DIR, 'tests/data/resources/cord19_processed/test_claims_flag.csv')
  sample_no_claims_df_path = os.path.join(ROOT_DIR, 'tests/data/resources/cord19_processed/test_no_claims_text.csv')
  sample_paired_claims_df_path = os.path.join(ROOT_DIR, 'tests/data/resources/cord19_processed/test_paired_claims.csv')
  
  # MultiNLI paths
  multinli_train_path = os.path.join(ROOT_DIR, 'input/multinli/multinli_1.0_train.txt')
  multinli_test_path = os.path.join(ROOT_DIR, 'input/multinli-dev/multinli_1.0_dev_matched.txt')
  sample_multinli_train_path = os.path.join(ROOT_DIR, 'tests/data/resources/sample_multinli_train.txt')
  sample_multinli_test_path = os.path.join(ROOT_DIR, 'tests/data/resources/sample_multinli_dev.txt')
  
  # MedNLI paths
  mednli_train_path = os.path.join(ROOT_DIR, 'input/mednli/mli_train_v1.jsonl')
  mednli_dev_path = os.path.join(ROOT_DIR, 'input/mednli/mli_dev_v1.jsonl')
  mednli_test_path = os.path.join(ROOT_DIR, 'input/mednli/mli_test_v1.jsonl')
  
  # ManConCorpus processed path
  mancon_sent_pairs = os.path.join(ROOT_DIR, 'input/manconcorpus-sent-pairs/manconcorpus_sent_pairs_200516.tsv')
  sample_mancon_sent_pairs = os.path.join(ROOT_DIR, 'tests/data/resources/sample_mancon.txt')
  
  # Other input paths
  drug_lex_path = os.path.join(ROOT_DIR, 'input/drugnames/DrugNames.txt')
  virus_lex_path = os.path.join(ROOT_DIR, 'input/virus-words/virus_words.txt')
  sample_drug_lex_path = os.path.join(ROOT_DIR, 'tests/data/resources/sample_DrugNames.txt')
  sample_virus_lex_path = os.path.join(ROOT_DIR, 'tests/data/resources/virus_words.txt')
  sample_conclusion_search_terms_path = os.path.join(ROOT_DIR, 'tests/data/resources/Conclusion_Search_Terms.txt')
  