






import json
import sys

def      _lowerCamelCase	(						__A    :							List[Any]		,		__A    :							str )      ->					int:
    with open(__A		,		encoding='''utf-8''' ) as f:
        _UpperCAmelCase				:      int			  =				json.load(__A )

    _UpperCAmelCase				:      Dict			  =				['''<details>''', '''<summary>Show updated benchmarks!</summary>''', ''' ''']

    for benchmark_name in sorted(__A ):
        _UpperCAmelCase				:      Dict			  =				results[benchmark_name]

        _UpperCAmelCase				:      Union[str, Any]			  =				benchmark_name.split('''/''' )[-1]
        output_md.append(f'''### Benchmark: {benchmark_file_name}''' )

        _UpperCAmelCase				:      Union[str, Any]			  =				'''| metric |'''
        _UpperCAmelCase				:      List[str]			  =				'''|--------|'''
        _UpperCAmelCase				:      Optional[int]			  =				'''| new / old (diff) |'''
        for metric_name in sorted(__A ):
            _UpperCAmelCase				:      Dict			  =				benchmark_res[metric_name]
            _UpperCAmelCase				:      int			  =				metric_vals['''new''']
            _UpperCAmelCase				:      Dict			  =				metric_vals.get('''old'''		,		__A )
            _UpperCAmelCase				:      str			  =				metric_vals.get('''diff'''		,		__A )

            _UpperCAmelCase				:      Optional[int]			  =				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__":
  SCREAMING_SNAKE_CASE 							=						sys.argv[1]
  SCREAMING_SNAKE_CASE 							=						sys.argv[2]

  format_json_to_md(input_json_file, output_md_file)












import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


SCREAMING_SNAKE_CASE 							=						'\nHugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.\n\nIn March 2021, Hugging Face raised $40 million in a Series B funding round.[3]\n\nOn April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]\n'
class 							A_    (						unittest.TestCase ,   __lowercase			):






 '''simple docstring'''




 def  snake_case__				(	self) ->		int:

     """simple docstring"""



     _UpperCAmelCase				:      int			  =				load_tool('''text-question-answering''')
     self.tool.setup()
     _UpperCAmelCase				:      Any			  =				load_tool('''text-question-answering'''							,  remote=_A)


 def  snake_case__				(	self) ->		Union[str, Any]:

     """simple docstring"""



     _UpperCAmelCase				:      Optional[Any]			  =				self.tool(_A							,  '''What did Hugging Face do in April 2021?''')
     self.assertEqual(_A							,  '''launched the BigScience Research Workshop''')


 def  snake_case__				(	self) ->		str:

     """simple docstring"""



     _UpperCAmelCase				:      str			  =				self.remote_tool(_A							,  '''What did Hugging Face do in April 2021?''')
     self.assertEqual(_A							,  '''launched the BigScience Research Workshop''')


 def  snake_case__				(	self) ->		Optional[int]:

     """simple docstring"""



     _UpperCAmelCase				:      Dict			  =				self.tool(text=_A							,  question='''What did Hugging Face do in April 2021?''')
     self.assertEqual(_A							,  '''launched the BigScience Research Workshop''')


 def  snake_case__				(	self) ->		Dict:

     """simple docstring"""



     _UpperCAmelCase				:      Optional[int]			  =				self.remote_tool(text=_A							,  question='''What did Hugging Face do in April 2021?''')
     self.assertEqual(_A							,  '''launched the BigScience Research Workshop''')




