old_contents: import os
  import itertools
  
  import pytest
  import numpy as np
  
  from .get_data_path import data_path
  
  try:
      from acoustics.aio import read_csv_cirrus
      HAS_PANDAS = True
  except ImportError:
      HAS_PANDAS = False
  
  details_type = ["det_global", "det_oct", "det_third"]
  int_time = ["2000ms", "1000ms", "0500ms", "0250ms", "0063ms", "0010ms"]
  delimiter = ["comma", "semicolon"]
  decimals = ["1dec", "2dec"]
  time_history = ["overall", "timehist"]
  weighting = ["z", "za", "zc", "zac"]
  cirrus_files = list(itertools.product(details_type, int_time, delimiter,
                                        decimals))
  cirrus_files.extend(list(itertools.product(["det_global_general"],
                                             delimiter, decimals)))
  cirrus_files.extend(list(itertools.product(time_history, ["oct"], weighting,
                                             delimiter, decimals)))
  cirrus_files.extend(list(itertools.product(["overall_third"], weighting,
                                             delimiter, decimals)))
  
  
  @pytest.mark.skipif('not HAS_PANDAS')
  @pytest.mark.parametrize('filename', cirrus_files)
  def test_read_csv_cirrus_details(filename):
      file = "_".join(filename) + ".csv"
      csv_path = os.path.join(data_path(), "cirrus", file)
      data = read_csv_cirrus(csv_path)
      if filename[0] == "det_global":
          np.sum(data.LAeq)
      else:
          np.sum(data["125Hz"])
  
new_contents: import os
  import itertools
  
  import pytest
  import numpy as np
  
  from .get_data_path import data_path
  
  try:
      import pandas
      HAS_PANDAS = True
  except ImportError:
      HAS_PANDAS = False
  
  details_type = ["det_global", "det_oct", "det_third"]
  int_time = ["2000ms", "1000ms", "0500ms", "0250ms", "0063ms", "0010ms"]
  delimiter = ["comma", "semicolon"]
  decimals = ["1dec", "2dec"]
  time_history = ["overall", "timehist"]
  weighting = ["z", "za", "zc", "zac"]
  cirrus_files = list(itertools.product(details_type, int_time, delimiter,
                                        decimals))
  cirrus_files.extend(list(itertools.product(["det_global_general"],
                                             delimiter, decimals)))
  cirrus_files.extend(list(itertools.product(time_history, ["oct"], weighting,
                                             delimiter, decimals)))
  cirrus_files.extend(list(itertools.product(["overall_third"], weighting,
                                             delimiter, decimals)))
  
  
  @pytest.mark.skipif('not HAS_PANDAS')
  @pytest.mark.parametrize('filename', cirrus_files)
  def test_read_csv_cirrus_details(filename):
      from acoustics.aio import read_csv_cirrus
      file = "_".join(filename) + ".csv"
      csv_path = os.path.join(data_path(), "cirrus", file)
      data = read_csv_cirrus(csv_path)
      if filename[0] == "det_global":
          np.sum(data.LAeq)
      else:
          np.sum(data["125Hz"])
  
subject: Fix test