'''simple docstring'''





from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments


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





     '''simple docstring'''





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


if __name__ == "__main__":
 main()

'''simple docstring'''





from __future__ import annotations


def     __lowerCAmelCase						(       a_       ,      a_ = None		)      ->	list[list[str]]:





     '''simple docstring'''





     SCREAMING_SNAKE_CASE					:			Optional[int]    	=       word_bank or []
     # create a table
     SCREAMING_SNAKE_CASE					:			int    	=       len(a_		) + 1

     SCREAMING_SNAKE_CASE					:			list[list[list[str]]]    	=       []
     for _ in range(a_		):
          table.append([]		)
     # seed value
     SCREAMING_SNAKE_CASE					:			List[Any]    	=       [[]]  # because empty string has empty combination

     # iterate through the indices
     for i in range(a_		):
          # condition
          if table[i] != []:
               for word in word_bank:
                    # slice condition
                    if target[i : i + len(a_		)] == word:
                         SCREAMING_SNAKE_CASE					:			list[list[str]]    	=       [
                             [word, *way] for way in table[i]
                         ]
                         # adds the word to every combination the current position holds
                         # now,push that combination to the table[i+len(word)]
                         table[i + len(a_		)] += new_combinations

    # combinations are in reverse order so reverse for better output
     for combination in table[len(a_		)]:
          combination.reverse()

     return table[len(a_		)]


if __name__ == "__main__":
 print(all_construct("""jwajalapa""", ["""jwa""", """j""", """w""", """a""", """la""", """lapa"""]))
 print(all_construct("""rajamati""", ["""s""", """raj""", """amat""", """raja""", """ma""", """i""", """t"""]))
 print(
     all_construct(
         """hexagonosaurus""",
         ["""h""", """ex""", """hex""", """ag""", """ago""", """ru""", """auru""", """rus""", """go""", """no""", """o""", """s"""],
     )
 )



