remove old commented code

src/otoole/results/results.py

@@ -180,93 +180,6 @@ def rename_duplicate_column(index: List) -> List:
     return column
 
 
-# class ReadCplex(ReadResults):
-#     """ """
-
-#     def get_results_from_file(
-#         self, filepath: Union[str, TextIO], input_data
-#     ) -> Dict[str, pd.DataFrame]:
-
-#         if input_data:
-#             years = input_data["YEAR"].values  # type: List
-#             start_year = int(years[0])
-#             end_year = int(years[-1])
-#         else:
-#             raise RuntimeError("To process CPLEX results please provide the input file")
-
-#         if isinstance(filepath, str):
-#             with open(filepath, "r") as sol_file:
-#                 data = self.extract_rows(sol_file, start_year, end_year)
-#         elif isinstance(filepath, StringIO):
-#             data = self.extract_rows(filepath, start_year, end_year)
-#         else:
-#             raise TypeError("Argument filepath type must be a string or an open file")
-
-#         results = {}
-
-#         for name in data.keys():
-#             results[name] = self.convert_df(data[name], name, start_year, end_year)
-
-#         return results
-
-#     def extract_rows(
-#         self, sol_file: TextIO, start_year: int, end_year: int
-#     ) -> Dict[str, List[List[str]]]:
-#         """ """
-#         data = {}  # type: Dict[str, List[List[str]]]
-#         for linenum, line in enumerate(sol_file):
-#             line = line.replace("\n", "")
-#             try:
-#                 row_as_list = line.split("\t")  # type: List[str]
-#                 name = row_as_list[0]  # type: str
-
-#                 if name in data.keys():
-#                     data[name].append(row_as_list)
-#                 else:
-#                     data[name] = [row_as_list]
-#             except ValueError as ex:
-#                 msg = "Error caused at line {}: {}. {}"
-#                 raise ValueError(msg.format(linenum, line, ex))
-#         return data
-
-#     def extract_variable_dimensions_values(self, data: List) -> Tuple[str, Tuple, List]:
-#         """Extracts useful information from a line of a results file"""
-#         variable = data[0]
-#         try:
-#             number = len(self.results_config[variable]["indices"])
-#         except KeyError as ex:
-#             print(data)
-#             raise KeyError(ex)
-#         dimensions = tuple(data[1:(number)])
-#         values = data[(number):]
-#         return (variable, dimensions, values)
-
-#     def convert_df(
-#         self, data: List[List[str]], variable: str, start_year: int, end_year: int
-#     ) -> pd.DataFrame:
-#         """Read the cplex lines into a pandas DataFrame"""
-#         index = self.results_config[variable]["indices"]
-#         columns = ["variable"] + index[:-1] + list(range(start_year, end_year + 1, 1))
-#         df = pd.DataFrame(data=data, columns=columns)
-#         df, index = check_duplicate_index(df, columns, index)
-#         df = df.drop(columns="variable")
-
-#         LOGGER.debug(
-#             f"Attempting to set index for {variable} with columns {index[:-1]}"
-#         )
-#         try:
-#             df = df.set_index(index[:-1])
-#         except NotImplementedError as ex:
-#             LOGGER.error(f"Error setting index for {df.head()}")
-#             raise NotImplementedError(ex)
-#         df = df.melt(var_name="YEAR", value_name="VALUE", ignore_index=False)
-#         df = df.reset_index()
-#         df = check_datatypes(df, self.user_config, variable)
-#         df = df.set_index(index)
-#         df = df[(df != 0).any(axis=1)]
-#         return df
-
-
 class ReadCplex(ReadWideResults):
     """Read a CPLEX solution file into memeory"""