def METHOD_NAME(self):
    input_file = Path(self.data_dir) / 'mfrt.csv'
    output_modelica_file_name = Path(self.output_dir) / 'mfrt_output.csv'
    csv_converter = CSVModelica(input_file)
    # save the updated time series to the output directory of the test folder
    csv_converter.timeseries_to_modelica_data(output_modelica_file_name)
    self.assertTrue(output_modelica_file_name.exists())
    # check if a string is in there
    with open(output_modelica_file_name, 'r') as f:
        data = f.read()
        self.assertTrue('18000,42.3,55.0,15.8,6.7,8.275,0.2' in data)
        self.assertTrue('111600,41.9,55.0,15.1,6.7,12.32,0.021' in data)