

'''simple docstring'''

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

import torch_xla.distributed.xla_multiprocessing as xmp





def 				lowercase (					):



					'''simple docstring'''







					UpperCAmelCase		:							List[str]        =       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=__magic_name__			,   default=1			,   help="Number of TPU cores to use (1 or 8)."							)

					# positional
					parser.add_argument(
					    "training_script"			,   type=__magic_name__			,   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=__magic_name__							)

					return parser.parse_args()





def 				lowercase (					):



					'''simple docstring'''







					UpperCAmelCase		:							str        =       parse_args()

					# Import training_script as a module.
					UpperCAmelCase		:							Optional[Any]        =       Path(args.training_script							)
					sys.path.append(str(script_fpath.parent.resolve()							)							)
					UpperCAmelCase		:							Optional[Any]        =       script_fpath.stem
					UpperCAmelCase		:							Any        =       importlib.import_module(__magic_name__							)

					# Patch sys.argv
					UpperCAmelCase		:							str        =       [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()



'''simple docstring'''

a       :      str  	=			[[0, 1, 1], [0, 0, 1], [1, 0, 0]]







class   UpperCamelCase__   :


		"""simple docstring"""

		def __init__(			self   ,      snake_case      ):


							'''simple docstring'''

							UpperCAmelCase		:							Optional[int]        =       name
							UpperCAmelCase		:							Optional[Any]        =       []
							UpperCAmelCase		:							Tuple        =       []







		def 				A_	(			self   ,      snake_case      ):


							'''simple docstring'''

							self.inbound.append(snake_case      )







		def 				A_	(			self   ,      snake_case      ):


							'''simple docstring'''

							self.outbound.append(snake_case      )







		def __repr__(			self      ):


							'''simple docstring'''

							return f"<node={self.name} inbound={self.inbound} outbound={self.outbound}>"





def 				lowercase (					__magic_name__			,   __magic_name__=3			,   __magic_name__=0.8_5							):



					'''simple docstring'''







					UpperCAmelCase		:							str        =       {}
					for node in nodes:
										UpperCAmelCase		:							Tuple        =       1

					UpperCAmelCase		:							Optional[Any]        =       {}
					for node in nodes:
										UpperCAmelCase		:							List[str]        =       len(node.outbound							)

					for i in range(__magic_name__							):
										print(F"======= Iteration {i + 1} ======="							)
										for _, node in enumerate(__magic_name__							):
															UpperCAmelCase		:							Any        =       (1 - d) + d * sum(
															    ranks[ib] / outbounds[ib] for ib in node.inbound							)
										print(__magic_name__							)





def 				lowercase (					):



					'''simple docstring'''







					UpperCAmelCase		:							Dict        =       list(input("Enter Names of the Nodes: "							).split()							)

					UpperCAmelCase		:							Any        =       [Node(__magic_name__							) for name in names]

					for ri, row in enumerate(__magic_name__							):
										for ci, col in enumerate(__magic_name__							):
															if col == 1:
																				nodes[ci].add_inbound(names[ri]							)
																				nodes[ri].add_outbound(names[ci]							)

					print("======= Nodes ======="							)
					for node in nodes:
										print(__magic_name__							)

					page_rank(__magic_name__							)


if __name__ == "__main__":
				main()
