



'''simple docstring'''


from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments






def  UpperCAmelCase_       (		):


					'''simple docstring'''







					a_       		=HfArgumentParser(lowercase__       )
					a_       		=parser.parse_args_into_dataclasses()[0]
					a_       		=TensorFlowBenchmark(args=lowercase__       )
					try:
										a_       		=parser.parse_args_into_dataclasses()[0]
					except ValueError as e:
										a_       		="Arg --no_{0} is no longer used, please use --no-{0} instead."
										a_       		=" ".join(str(lowercase__       ).split(" "       )[:-1]       )
										a_       		=""
										a_       		=eval(str(lowercase__       ).split(" "       )[-1]       )
										a_       		=[]
										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:
															a_       		=full_error_msg + begin_error_msg + str(lowercase__       )
										raise ValueError(lowercase__       )
					benchmark.run()


if __name__ == "__main__":
		main()







'''simple docstring'''


import os

# Precomputes a list of the 100 first triangular numbers
lowercase							       =			[int(0.5 * n * (n + 1)) for n in range(1, 101)]






def  UpperCAmelCase_       (		):


     '''simple docstring'''







     a_       		=os.path.dirname(os.path.realpath(lowercase__       )       )
     a_       		=os.path.join(lowercase__       ,	"words.txt"       )

     a_       		=""
     with open(lowercase__       ) as f:
          a_       		=f.readline()

     a_       		=[word.strip("\""       ) for word in words.strip("\r\n"       ).split(","       )]
     a_       		=[
         word
         for word in [sum(ord(lowercase__       ) - 6_4 for x in word       ) for word in words]
         if word in TRIANGULAR_NUMBERS
     ]
     return len(lowercase__       )


if __name__ == "__main__":
  print(solution())


