



'''simple docstring'''


import json
import sys







def 				__lowerCamelCase				(   A__    ,						A__    )       ->	Union[str, Any]:






   """simple docstring"""





   with open(A__    ,						encoding='utf-8'    ) as f:
      UpperCamelCase					=  json.load(A__    )

   UpperCamelCase					=  ["""<details>""", """<summary>Show updated benchmarks!</summary>""", """ """]

   for benchmark_name in sorted(A__    ):
      UpperCamelCase					=  results[benchmark_name]

      UpperCamelCase					=  benchmark_name.split('/'    )[-1]
      output_md.append(F"""### Benchmark: {benchmark_file_name}"""    )

      UpperCamelCase					=  """| metric |"""
      UpperCamelCase					=  """|--------|"""
      UpperCamelCase					=  """| new / old (diff) |"""
      for metric_name in sorted(A__    ):
         UpperCamelCase					=  benchmark_res[metric_name]
         UpperCamelCase					=  metric_vals["""new"""]
         UpperCamelCase					=  metric_vals.get('old'    ,						A__    )
         UpperCamelCase					=  metric_vals.get('diff'    ,						A__    )

         UpperCamelCase					=  F""" {new_val:f}""" if isinstance(A__    ,						(int, float)    ) else """None"""

         if old_val is not None:
            val_str += F""" / {old_val:f}""" if isinstance(A__    ,						(int, float)    ) else "None"
         if dif_val is not None:
            val_str += F""" ({dif_val:f})""" if isinstance(A__    ,						(int, float)    ) else "None"

         title += " " + metric_name + " |"
         lines += "---|"
         value += val_str + " |"

      output_md += [title, lines, value, " "]

   output_md.append('</details>'    )

   with open(A__    ,						'w'    ,						encoding='utf-8'    ) as f:
      f.writelines('\n'.join(A__    )    )


if __name__ == "__main__":
   _lowerCamelCase	:       List[str]      	=	sys.argv[1]
   _lowerCamelCase	:       str      	=	sys.argv[2]

   format_json_to_md(input_json_file, output_md_file)





'''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    __snake_case       (   _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase    =					'philschmid/bart-large-cnn-samsum'
    lowercase    =					(
        '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.'
    )
    lowercase    =					'summarizer'
    lowercase    =					AutoTokenizer
    lowercase    =					AutoModelForSeqaSeqLM

    lowercase    =					['text']
    lowercase    =					['text']

    def __lowercase   (   self    :  Dict    ,						lowerCamelCase    :  Dict		)   ->  Any:
      return self.pre_processor(lowerCamelCase    ,						return_tensors="""pt"""    ,						truncation=lowerCamelCase		)

    def __lowercase   (   self    :  Optional[Any]    ,						lowerCamelCase    :  Tuple		)   ->  List[str]:
      return self.model.generate(**lowerCamelCase		)[0]





    def __lowercase   (   self    :  str    ,						lowerCamelCase    :  Dict		)   ->  List[Any]:
      return self.pre_processor.decode(lowerCamelCase    ,						skip_special_tokens=lowerCamelCase    ,						clean_up_tokenization_spaces=lowerCamelCase		)



