from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def 					_snake_case	(  ):
					_UpperCamelCase			     =     HfArgumentParser(__snake_case						)
					_UpperCamelCase			     =     parser.parse_args_into_dataclasses()[0]
					_UpperCamelCase			     =     TensorFlowBenchmark(args=__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 TensorFlowBenchmark.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						)
					benchmark.run()


if __name__ == "__main__":
					main()

'''simple docstring'''

from __future__ import annotations

from typing import Any



def snake_case_      (					__snake_case  :							list[Any])			->					None:
   create_state_space_tree(__snake_case	,   []	,   0)



def snake_case_      (					__snake_case  :							list[Any]	,   __snake_case  :							list[Any]	,   __snake_case  :							int)			->					None:

   if index == len(__snake_case):
      print(__snake_case)
      return

   create_state_space_tree(__snake_case	,   __snake_case	,   index + 1)
   current_subsequence.append(sequence[index])
   create_state_space_tree(__snake_case	,   __snake_case	,   index + 1)
   current_subsequence.pop()


if __name__ == "__main__":
 A_     :						list[Any]    							=[3, 1, 2, 4]
 generate_all_subsequences(seq)

 seq.clear()
 seq.extend(['''A''', '''B''', '''C'''])
 generate_all_subsequences(seq)





