"""simple docstring"""


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

import torch_xla.distributed.xla_multiprocessing as xmp


def   __UpperCAmelCase     (	):
   _lowercase							     =       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=a_,				default=1,				help="Number of TPU cores to use (1 or 8)."       )

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

   return parser.parse_args()


def   __UpperCAmelCase     (	):
   _lowercase							     =       parse_args()

   # Import training_script as a module.
   _lowercase							     =       Path(args.training_script       )
   sys.path.append(str(script_fpath.parent.resolve()       )       )
   _lowercase							     =       script_fpath.stem
   _lowercase							     =       importlib.import_module(a_       )

   # Patch sys.argv
   _lowercase							     =       [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()

from __future__ import annotations

from typing import Any

class        UpperCamelCase__:

	"""simple docstring"""

	def __init__(      self				:			Dict							,			snake_case__				:			Any							,			snake_case__				:			Any ):  # noqa: A002
			"""simple docstring"""





			A				=item
			A				=next


class        UpperCamelCase__:

	"""simple docstring"""

	def __init__(      self				:			Optional[Any] ):
			"""simple docstring"""





			A				=None
			A				=0







	def        _a					(      self				:			str							,			snake_case__				:			Any ):
			"""simple docstring"""





			A				=Node(snake_case__							,			self.head )
			self.size += 1







	def        _a					(      self				:			Dict ):
			"""simple docstring"""





			if self.head is None:
					return None
			else:
					A				=self.head.item
					A				=self.head.next
					self.size -= 1
					return item







	def        _a					(      self				:			Any ):
			"""simple docstring"""





			return self.head is None







	def __str__(      self				:			Dict ):
			"""simple docstring"""





			if self.is_empty():
					return ""
			else:
					A				=self.head
					A				=""
					A				=[]
					while iterate:
							item_list.append(str(iterate.item ) )
							A				=iterate.next

					A				=" --> ".join(snake_case__ )

					return item_str







	def __len__(      self				:			Union[str, Any] ):
			"""simple docstring"""





			return self.size




