"""simple docstring"""






from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments


def      UpperCAmelCase__			(							)					->       Optional[Any]:
      '''simple docstring'''


      lowercase								=      HfArgumentParser(lowerCAmelCase__						)
      lowercase								=      parser.parse_args_into_dataclasses()[0]
      lowercase								=      TensorFlowBenchmark(args=lowerCAmelCase__						)
      try:
            lowercase								=      parser.parse_args_into_dataclasses()[0]
      except ValueError as e:
            lowercase								=      """Arg --no_{0} is no longer used, please use --no-{0} instead."""
            lowercase								=      """ """.join(str(lowerCAmelCase__						).split(""" """						)[:-1]						)
            lowercase								=      """"""
            lowercase								=      eval(str(lowerCAmelCase__						).split(""" """						)[-1]						)
            lowercase								=      []
            for arg in depreciated_args:
                  # arg[2:] removes '--'
                  if arg[2:] in TensorFlowBenchmark.deprecated_args:
                        # arg[5:] removes '--no_'
                        full_error_msg += arg_error_msg.format(arg[5:]						)
                  else:
                        wrong_args.append(lowerCAmelCase__						)
            if len(lowerCAmelCase__						) > 0:
                  lowercase								=      full_error_msg + begin_error_msg + str(lowerCAmelCase__						)
            raise ValueError(lowerCAmelCase__						)
      benchmark.run()


if __name__ == "__main__":
       main()




"""simple docstring"""






# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# 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 ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool





class 					_A		(			lowerCAmelCase      ):
      snake_case__     :  List[Any]				    =      'philschmid/bart-large-cnn-samsum'
      snake_case__     :  int				    =      (
          'This is a tool that summarizes an English text. It takes an input `text` containing the text to summarize, '
          'and returns a summary of the text.'
      )
      snake_case__     :  Tuple				    =      'summarizer'
      snake_case__     :  int				    =      AutoTokenizer
      snake_case__     :  Any				    =      AutoModelForSeqaSeqLM

      snake_case__     :  Optional[int]				    =      ['text']
      snake_case__     :  Optional[int]				    =      ['text']

      def 							A__			(		self						,			__lowerCAmelCase		):







            """simple docstring"""



            return self.pre_processor(__lowerCAmelCase						,			return_tensors="""pt"""						,			truncation=__lowerCAmelCase		)

      def 							A__			(		self						,			__lowerCAmelCase		):







            """simple docstring"""



            return self.model.generate(**__lowerCAmelCase		)[0]







      def 							A__			(		self						,			__lowerCAmelCase		):







            """simple docstring"""



            return self.pre_processor.decode(__lowerCAmelCase						,			skip_special_tokens=__lowerCAmelCase						,			clean_up_tokenization_spaces=__lowerCAmelCase		)



