


"""simple docstring"""






class      __lowerCamelCase	:

     '''simple docstring'''


     def __init__(   self				)							->				Dict:
          _a     						=					{}
          # indexmap keys are an index and it's values are the number at that index
          _a     						=					{}


     def 				_UpperCAmelCase   (   self     ,					__UpperCAmelCase     ,					__UpperCAmelCase				)							->				List[Any]:



          if isinstance(lowercase__     ,					(range, str)				):
               _a     						=					list(lowercase__				)
          elif not isinstance(lowercase__     ,					lowercase__				):
               raise TypeError(
                   '''binary_search_delete() only accepts either a list, range or str'''				)

          _a     						=					0
          _a     						=					len(lowercase__				) - 1

          while low <= high:
               _a     						=					(low + high) // 2
               if array[mid] == item:
                    array.pop(lowercase__				)
                    return array
               elif array[mid] < item:
                    _a     						=					mid + 1
               else:
                    _a     						=					mid - 1
          raise ValueError(
              '''Either the item is not in the array or the array was unsorted'''				)


     def 				_UpperCAmelCase   (   self     ,					__UpperCAmelCase     ,					__UpperCAmelCase				)							->				str:



          if isinstance(lowercase__     ,					(range, str)				):
               _a     						=					list(lowercase__				)
          elif not isinstance(lowercase__     ,					lowercase__				):
               raise TypeError(
                   '''binary_search_insert() only accepts either a list, range or str'''				)

          _a     						=					0
          _a     						=					len(lowercase__				) - 1

          while low <= high:
               _a     						=					(low + high) // 2
               if array[mid] == index:
                    # If the item already exists in the array,
                    # insert it after the existing item
                    array.insert(mid + 1     ,					lowercase__				)
                    return array
               elif array[mid] < index:
                    _a     						=					mid + 1
               else:
                    _a     						=					mid - 1

        # If the item doesn't exist in the array, insert it at the appropriate position
          array.insert(lowercase__     ,					lowercase__				)
          return array


     def 				_UpperCAmelCase   (   self     ,					__UpperCAmelCase     ,					__UpperCAmelCase				)							->				Tuple:



          if index in self.indexmap:
               _a     						=					self.indexmap[index]
               if len(self.numbermap[n]				) == 1:
                    del self.numbermap[n]
               else:
                    _a     						=					self.binary_search_delete(self.numbermap[n]     ,					lowercase__				)

        # Set new index
          _a     						=					number

          # Number not seen before or empty so insert number value
          if number not in self.numbermap:
               _a     						=					[index]

          # Here we need to perform a binary search insertion in order to insert
          # The item in the correct place
          else:
               _a     						=					self.binary_search_insert(
                   self.numbermap[number]     ,					lowercase__				)





     def 				_UpperCAmelCase   (   self     ,					__UpperCAmelCase				)							->				List[str]:
          return self.numbermap.get(lowercase__     ,					[-1]				)[0]


if __name__ == "__main__":
   import doctest

   doctest.testmod()
import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path

import torch_xla.distributed.xla_multiprocessing as xmp






def  __lowerCamelCase						(		):
       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=lowerCAmelCase__      ,    default=1      ,    help='Number of TPU cores to use (1 or 8).'      )

       # positional
       parser.add_argument(
           'training_script'      ,    type=lowerCAmelCase__      ,    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=lowerCAmelCase__      )

       return parser.parse_args()






def  __lowerCamelCase						(		):
       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(lowerCAmelCase__      )

       # 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()
