





"""simple docstring"""






import itertools
import string
from collections.abc import Generator, Iterable

def 			__A					(	a_  :Iterable[str]      ,				a_  :int)						->						Generator[tuple[str, ...], None, None]:
				__a       :  List[str]					=     iter(__A)
				while True:
								__a       :  Optional[int]					=     tuple(itertools.islice(__A      ,				__A))
								if not chunk:
												return
								yield chunk

def 			__A					(	a_  :str)						->						str:
				__a       :  Dict					=     ''.join([c.upper() for c in dirty if c in string.ascii_letters])
				__a       :  Union[str, Any]					=     ''

				if len(__A) < 2:
								return dirty

				for i in range(len(__A) - 1):
								clean += dirty[i]

								if dirty[i] == dirty[i + 1]:
												clean += "X"

				clean += dirty[-1]

				if len(__A) & 1:
								clean += "X"

				return clean

def 			__A					(	a_  :str)						->						list[str]:
				__a       :  Optional[Any]					=     'ABCDEFGHIKLMNOPQRSTUVWXYZ'
				# we're using a list instead of a '2d' array because it makes the math
				# for setting up the table and doing the actual encoding/decoding simpler
				__a       :  Optional[Any]					=     []

				# copy key chars into the table if they are in `alphabet` ignoring duplicates
				for char in key.upper():
								if char not in table and char in alphabet:
												table.append(__A)

    # fill the rest of the table in with the remaining alphabet chars
				for char in alphabet:
								if char not in table:
												table.append(__A)

				return table

def 			__A					(	a_  :str      ,				a_  :str)						->						str:
				__a       :  Optional[int]					=     generate_table(__A)
				__a       :  Tuple					=     prepare_input(__A)
				__a       :  List[Any]					=     ''

				# https://en.wikipedia.org/wiki/Playfair_cipher#Description
				for chara, chara in chunker(__A      ,				2):
								__a       :  List[Any]					=     divmod(table.index(__A)      ,				5)
								__a       :  Dict					=     divmod(table.index(__A)      ,				5)

								if rowa == rowa:
												ciphertext += table[rowa * 5 + (cola + 1) % 5]
												ciphertext += table[rowa * 5 + (cola + 1) % 5]
								elif cola == cola:
												ciphertext += table[((rowa + 1) % 5) * 5 + cola]
												ciphertext += table[((rowa + 1) % 5) * 5 + cola]
								else:  # rectangle
												ciphertext += table[rowa * 5 + cola]
												ciphertext += table[rowa * 5 + cola]

				return ciphertext






def 			__A					(	a_  :str      ,				a_  :str)						->						str:
				__a       :  Union[str, Any]					=     generate_table(__A)
				__a       :  Union[str, Any]					=     ''

				# https://en.wikipedia.org/wiki/Playfair_cipher#Description
				for chara, chara in chunker(__A      ,				2):
								__a       :  Optional[Any]					=     divmod(table.index(__A)      ,				5)
								__a       :  Dict					=     divmod(table.index(__A)      ,				5)

								if rowa == rowa:
												plaintext += table[rowa * 5 + (cola - 1) % 5]
												plaintext += table[rowa * 5 + (cola - 1) % 5]
								elif cola == cola:
												plaintext += table[((rowa - 1) % 5) * 5 + cola]
												plaintext += table[((rowa - 1) % 5) * 5 + cola]
								else:  # rectangle
												plaintext += table[rowa * 5 + cola]
												plaintext += table[rowa * 5 + cola]

				return plaintext



from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments







def        SCREAMING_SNAKE_CASE_						(			)	->		Any:

       """simple docstring"""

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


if __name__ == "__main__":
   main()


