


import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin





class  lowerCAmelCase__(    unittest.TestCase    ,    snake_case__						):






    '''simple docstring'''





    def 					_lowerCamelCase (	self				:   List[str]	):





       '''simple docstring'''
       UpperCAmelCase_							:      Any						=   load_tool('''text-classification'''	)
       self.tool.setup()
       UpperCAmelCase_							:      str						=   load_tool('''text-classification'''       ,   remote=__snake_case	)





    def 					_lowerCamelCase (	self				:   Tuple	):





       '''simple docstring'''
       UpperCAmelCase_							:      Tuple						=   self.tool('''That\'s quite cool'''       ,   ['''positive''', '''negative''']	)
       self.assertEqual(__snake_case       ,   '''positive'''	)





    def 					_lowerCamelCase (	self				:   Dict	):





       '''simple docstring'''
       UpperCAmelCase_							:      Tuple						=   self.remote_tool('''That\'s quite cool'''       ,   ['''positive''', '''negative''']	)
       self.assertEqual(__snake_case       ,   '''positive'''	)





    def 					_lowerCamelCase (	self				:   Tuple	):





       '''simple docstring'''
       UpperCAmelCase_							:      List[str]						=   self.tool(text='''That\'s quite cool'''       ,   labels=['''positive''', '''negative''']	)
       self.assertEqual(__snake_case       ,   '''positive'''	)





    def 					_lowerCamelCase (	self				:   Optional[Any]	):





       '''simple docstring'''
       UpperCAmelCase_							:      Any						=   self.remote_tool(text='''That\'s quite cool'''       ,   labels=['''positive''', '''negative''']	)
       self.assertEqual(__snake_case       ,   '''positive'''	)



from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def      snake_case_						( ):
   UpperCAmelCase_							:      str						=   HfArgumentParser(__lowercase       )
   UpperCAmelCase_							:      Optional[Any]						=   parser.parse_args_into_dataclasses()[0]
   UpperCAmelCase_							:      Optional[int]						=   TensorFlowBenchmark(args=__lowercase       )
   try:
      UpperCAmelCase_							:      List[Any]						=   parser.parse_args_into_dataclasses()[0]
   except ValueError as e:
      UpperCAmelCase_							:      List[Any]						=   '''Arg --no_{0} is no longer used, please use --no-{0} instead.'''
      UpperCAmelCase_							:      List[str]						=   ''' '''.join(str(__lowercase       ).split(''' '''       )[:-1]       )
      UpperCAmelCase_							:      Optional[int]						=   ''''''
      UpperCAmelCase_							:      Dict						=   eval(str(__lowercase       ).split(''' '''       )[-1]       )
      UpperCAmelCase_							:      int						=   []
      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(__lowercase       )
      if len(__lowercase       ) > 0:
         UpperCAmelCase_							:      Tuple						=   full_error_msg + begin_error_msg + str(__lowercase       )
      raise ValueError(__lowercase       )
   benchmark.run()


if __name__ == "__main__":
       main()