

from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments




def  lowerCAmelCase(			)->	List[str]:



    """simple docstring"""






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

    UpperCamelCase_      =	PyTorchBenchmark(args=__snake_case )
    benchmark.run()


if __name__ == "__main__":
 main()



import unittest

from transformers.image_processing_utils import get_size_dict






class 	__magic_name__				(       unittest.TestCase							):






     def   UpperCAmelCase_							(							self  )->    int:
         # Test a dict with the wrong keys raises an error
         UpperCamelCase_      =	{"wrong_key": 224}
         with self.assertRaises(_lowercase  ):
             get_size_dict(_lowercase  )

         UpperCamelCase_      =	{"height": 224}
         with self.assertRaises(_lowercase  ):
             get_size_dict(_lowercase  )

         UpperCamelCase_      =	{"width": 224, "shortest_edge": 224}
         with self.assertRaises(_lowercase  ):
             get_size_dict(_lowercase  )

         # Test a dict with the correct keys is returned as is
         UpperCamelCase_      =	{"height": 224, "width": 224}
         UpperCamelCase_      =	get_size_dict(_lowercase  )
         self.assertEqual(_lowercase		,	_lowercase  )

         UpperCamelCase_      =	{"shortest_edge": 224}
         UpperCamelCase_      =	get_size_dict(_lowercase  )
         self.assertEqual(_lowercase		,	{"shortest_edge": 224}  )

         UpperCamelCase_      =	{"longest_edge": 224, "shortest_edge": 224}
         UpperCamelCase_      =	get_size_dict(_lowercase  )
         self.assertEqual(_lowercase		,	{"longest_edge": 224, "shortest_edge": 224}  )

         # Test a single int value which  represents (size, size)
         UpperCamelCase_      =	get_size_dict(224  )
         self.assertEqual(_lowercase		,	{"height": 224, "width": 224}  )

         # Test a single int value which represents the shortest edge
         UpperCamelCase_      =	get_size_dict(224		,	default_to_square=_lowercase  )
         self.assertEqual(_lowercase		,	{"shortest_edge": 224}  )

         # Test a tuple of ints which represents (height, width)
         UpperCamelCase_      =	get_size_dict((150, 200)  )
         self.assertEqual(_lowercase		,	{"height": 150, "width": 200}  )

         # Test a tuple of ints which represents (width, height)
         UpperCamelCase_      =	get_size_dict((150, 200)		,	height_width_order=_lowercase  )
         self.assertEqual(_lowercase		,	{"height": 200, "width": 150}  )

         # Test an int representing the shortest edge and max_size which represents the longest edge
         UpperCamelCase_      =	get_size_dict(224		,	max_size=256		,	default_to_square=_lowercase  )
         self.assertEqual(_lowercase		,	{"shortest_edge": 224, "longest_edge": 256}  )

         # Test int with default_to_square=True and max_size fails
         with self.assertRaises(_lowercase  ):
             get_size_dict(224		,	max_size=256		,	default_to_square=_lowercase  )
