old_contents: # Copyright 2020 Google LLC
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #      http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  from typing import Dict
  from pandas import DataFrame
  from lib.data_source import DataSource
  from lib.cast import safe_int_cast
  
  class LibyaHumdataDataSource(DataSource):
     
      def parse_dataframes(
          self, dataframes: Dict[str, DataFrame], aux: Dict[str, DataFrame], **parse_opts
      ) -> DataFrame:
      	 # TODO (pranalipy)  to fill the logic  in for parsing Libya data
      	 daata = []
         
          # Make sure all records have the country code
          data["country_code"] = "LY"
  
          # Output the results
          return data
  
new_contents: # Copyright 2020 Google LLC
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #      http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  from typing import Dict
  from pandas import DataFrame
  from lib.data_source import DataSource
  from lib.cast import safe_int_cast
  
  class LibyaHumdataDataSource(DataSource):
     
      def parse_dataframes(
          self, dataframes: Dict[str, DataFrame], aux: Dict[str, DataFrame], **parse_opts
      ) -> DataFrame:
      	 # TODO (pranalipy)  to fill the logic  in for parsing Libya data
      	data = []
         
          # Make sure all records have the country code
          data["country_code"] = "LY"
  
          # Output the results
          return data
  
subject: Update ly_humdata.py