code: def test_read_csvs_two_unmatching_csv_files():
      # Setup
      # When two csv files do not have same column names
      df = pd.DataFrame(
          [[1, 2, 3], [1, 2, 3], [1, 2, 3]], columns=["a", "b", "c"]
      )
      df.to_csv(CSV_FILE_PATH.format(0), index=False)
      df = pd.DataFrame(
          [[1, 2, 3], [1, 2, 3], [1, 2, 3]], columns=["d", "e", "f"]
      )
      df.to_csv(CSV_FILE_PATH.format(1), index=False)
  
      # If the csv files are read into DataFrame
      try:
          io.read_csvs(CSV_FILE_PATH.format("*"))
          # if read does read the unmatching files give an error
          raise ValueError
      except ValueError:
          # If the read raises an exception it is ok
          pass
      finally:
          remove_csv_files()
  
file_path: pyjanitor/tests/io/test_read_csvs.py
imports: import glob
  import os
  import pandas
  import pytest
  from janitor import io
label_desc: Use image node_id 7 for calling a global function with example usage: test_read_csvs_two_unmatching_csv_files() without return types