





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

import torch_xla.distributed.xla_multiprocessing as xmp





def      _lowercase					(						)						->  List[Any]:
				lowerCamelCase	 =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=_UpperCAmelCase			,      default=1			,      help="""Number of TPU cores to use (1 or 8)."""				)

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

				return parser.parse_args()





def      _lowercase					(						)						->  List[str]:
				lowerCamelCase	 =parse_args()

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

				# Patch sys.argv
				lowerCamelCase	 =[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 typing import List

from .keymap import KEYMAP, get_character





def      _lowercase					(						_UpperCAmelCase				)						->  Tuple:

				def decorator(_UpperCAmelCase				):
								lowerCamelCase	 =getattr(_UpperCAmelCase			,      """handle_key"""			,      []				)
								handle += [key]
								setattr(_UpperCAmelCase			,      """handle_key"""			,      _UpperCAmelCase				)
								return func

				return decorator





def      _lowercase					(						*_UpperCAmelCase				)						->  Tuple:

				def decorator(_UpperCAmelCase				):
								lowerCamelCase	 =getattr(_UpperCAmelCase			,      """handle_key"""			,      []				)
								handle += keys
								setattr(_UpperCAmelCase			,      """handle_key"""			,      _UpperCAmelCase				)
								return func

				return decorator

class       __A     (						a    ):


				def __new__(		cls   , UpperCAmelCase_   , UpperCAmelCase_   , UpperCAmelCase_							):
								lowerCamelCase	 =super().__new__(cls   , UpperCAmelCase_   , UpperCAmelCase_   , UpperCAmelCase_							)
								if not hasattr(UpperCAmelCase_   , """key_handler"""							):
												setattr(UpperCAmelCase_   , """key_handler"""   , {}							)
								setattr(UpperCAmelCase_   , """handle_input"""   , KeyHandler.handle_input							)

								for value in attrs.values():
												lowerCamelCase	 =getattr(UpperCAmelCase_   , """handle_key"""   , []							)
												for key in handled_keys:
																lowerCamelCase	 =value
								return new_cls


				@staticmethod
				def _snake_case       (		cls							):
								lowerCamelCase	 =get_character()
								if char != KEYMAP["undefined"]:
												lowerCamelCase	 =ord(UpperCAmelCase_							)
								lowerCamelCase	 =cls.key_handler.get(UpperCAmelCase_							)
								if handler:
												lowerCamelCase	 =char
												return handler(cls							)
								else:
												return None





def      _lowercase					(						cls				)						->  List[str]:
				return KeyHandler(cls.__name__			,      cls.__bases__			,      cls.__dict__.copy()				)





