text: import os
  
  import pytest
  from pandas.io.parsers import read_table
  
  HERE = os.path.dirname(__file__)
  
  
  @pytest.fixture(scope='module')
  def tips_file():
      """Path to the tips dataset"""
      return os.path.join(HERE, 'parser', 'data', 'tips.csv')
  
  
  @pytest.fixture(scope='module')
  def jsonl_file():
      """Path a JSONL dataset"""
      return os.path.join(HERE, 'parser', 'data', 'items.jsonl')
  
  
  @pytest.fixture(scope='module')
  def salaries_table():
      """DataFrame with the salaries dataset"""
      path = os.path.join(HERE, 'parser', 'data', 'salaries.csv')
      return read_table(path)
  
  
  @pytest.fixture(scope='module')
  def s3_resource(tips_file, jsonl_file):
      """Fixture for mocking S3 interaction.
  
      The primary bucket name is "pandas-test". The following datasets
      are loaded.
  
      - tips.csv
      - tips.csv.gz
      - tips.csv.bz2
      - items.jsonl
  
      A private bucket "cant_get_it" is also created. The boto3 s3 resource
      is yielded by the fixture.
      """
      pytest.importorskip('s3fs')
      moto = pytest.importorskip('moto')
      moto.mock_s3().start()
  
      test_s3_files = [
          ('tips.csv', tips_file),
          ('tips.csv.gz', tips_file + '.gz'),
          ('tips.csv.bz2', tips_file + '.bz2'),
          ('items.jsonl', jsonl_file),
      ]
  
      def add_tips_files(bucket_name):
          for s3_key, file_name in test_s3_files:
              with open(file_name, 'rb') as f:
                  conn.Bucket(bucket_name).put_object(
                      Key=s3_key,
                      Body=f)
  
      boto3 = pytest.importorskip('boto3')
      # see gh-16135
      bucket = 'pandas-test'
  
      conn = boto3.resource("s3", region_name="us-east-1")
      conn.create_bucket(Bucket=bucket)
      add_tips_files(bucket)
  
      conn.create_bucket(Bucket='cant_get_it', ACL='private')
      add_tips_files('cant_get_it')
  
      yield conn
  
      moto.mock_s3().stop()
  