
import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path

import torch_xla.distributed.xla_multiprocessing as xmp



def       _lowercase					(      )	->     Optional[int]:
			UpperCamelCase__    :		Optional[int]     =				ArgumentParser(
			    description=(
			        'PyTorch TPU distributed training launch helper utility that will spawn up multiple distributed processes'
			    ) )

			# Optional arguments for the launch helper
			parser.add_argument('--num_cores'				,    type=__SCREAMING_SNAKE_CASE				,    default=1				,    help='Number of TPU cores to use (1 or 8).' )

			# positional
			parser.add_argument(
			    'training_script'				,    type=__SCREAMING_SNAKE_CASE				,    help=(
			        'The full path to the single TPU training '
			        'program/script to be launched in parallel, '
			        'followed by all the arguments for the '
			        'training script'
			    )				,    )

			# rest from the training program
			parser.add_argument('training_script_args'				,    nargs=__SCREAMING_SNAKE_CASE )

			return parser.parse_args()



def       _lowercase					(      )	->     Tuple:
			UpperCamelCase__    :		Optional[int]     =				parse_args()

			# Import training_script as a module.
			UpperCamelCase__    :		int     =				Path(args.training_script )
			sys.path.append(str(script_fpath.parent.resolve() ) )
			UpperCamelCase__    :		Union[str, Any]     =				script_fpath.stem
			UpperCamelCase__    :		Union[str, Any]     =				importlib.import_module(__SCREAMING_SNAKE_CASE )

			# Patch sys.argv
			UpperCamelCase__    :		int     =				[args.training_script] + args.training_script_args + ['--tpu_num_cores', str(args.num_cores )]

			xmp.spawn(mod._mp_fn				,    args=()				,    nprocs=args.num_cores )


if __name__ == "__main__":
							main()





import numpy as np

UpperCAmelCase__				:  str       					=				[
    ['''a''', '''b''', '''c''', '''d''', '''e'''],
    ['''f''', '''g''', '''h''', '''i''', '''k'''],
    ['''l''', '''m''', '''n''', '''o''', '''p'''],
    ['''q''', '''r''', '''s''', '''t''', '''u'''],
    ['''v''', '''w''', '''x''', '''y''', '''z'''],
]



class 			UpperCamelCase_			:




							'''simple docstring'''

							def __init__(				self) ->	None:
										UpperCamelCase__    :		Any     =				np.array(UpperCamelCase)
							def        lowerCAmelCase__ (				self     ,						UpperCamelCase) ->	np.ndarray:
										UpperCamelCase__   ,			UpperCamelCase__    :		Optional[int]     =				np.where(letter == self.SQUARE)
										UpperCamelCase__    :		int     =				np.concatenate([indexa + 1, indexa + 1])
										return indexes
							def        lowerCAmelCase__ (				self     ,						UpperCamelCase     ,						UpperCamelCase) ->	str:
										return self.SQUARE[indexa - 1, indexa - 1]
							def        lowerCAmelCase__ (				self     ,						UpperCamelCase) ->	str:
										UpperCamelCase__    :		str     =				message.lower()
										UpperCamelCase__    :		int     =				message.replace('j'     ,						'i')

										UpperCamelCase__    :		List[Any]     =				''
										for letter_index in range(len(UpperCamelCase)):
													if message[letter_index] != " ":
																UpperCamelCase__    :		Union[str, Any]     =				self.letter_to_numbers(message[letter_index])
																UpperCamelCase__    :		int     =				encoded_message + str(numbers[0]) + str(numbers[1])
													elif message[letter_index] == " ":
																UpperCamelCase__    :		str     =				encoded_message + ' '

										return encoded_message






							def        lowerCAmelCase__ (				self     ,						UpperCamelCase) ->	str:
										UpperCamelCase__    :		Union[str, Any]     =				message.replace(' '     ,						'  ')
										UpperCamelCase__    :		int     =				''
										for numbers_index in range(int(len(UpperCamelCase) / 2)):
													if message[numbers_index * 2] != " ":
																UpperCamelCase__    :		List[str]     =				message[numbers_index * 2]
																UpperCamelCase__    :		Tuple     =				message[numbers_index * 2 + 1]

																UpperCamelCase__    :		Tuple     =				self.numbers_to_letter(int(UpperCamelCase)     ,						int(UpperCamelCase))
																UpperCamelCase__    :		List[str]     =				decoded_message + letter
													elif message[numbers_index * 2] == " ":
																UpperCamelCase__    :		str     =				decoded_message + ' '

										return decoded_message



