




"""simple docstring"""


from typing import List

from .keymap import KEYMAP, get_character


def 					UpperCAmelCase__       (snake_case__							:					str    ):
  """simple docstring"""

  def decorator(snake_case__							:					Optional[int]    ):
    _snake_case							:		List[Any]								=  getattr(snake_case__		,   """handle_key"""		,   []    )
    handle += [key]
    setattr(snake_case__		,   """handle_key"""		,   snake_case__    )
    return func

  return decorator


def 					UpperCAmelCase__       (*snake_case__							:					List[str]    ):
  """simple docstring"""

  def decorator(snake_case__							:					List[Any]    ):
    _snake_case							:		Optional[Any]								=  getattr(snake_case__		,   """handle_key"""		,   []    )
    handle += keys
    setattr(snake_case__		,   """handle_key"""		,   snake_case__    )
    return func

  return decorator






class 					lowercase(     __a ):







 '''simple docstring'''





 def __new__(				cls:		str,      a_:		Optional[Any],      a_:		List[Any],      a_:		Optional[Any]		):




   '''simple docstring'''



   _snake_case							:		Optional[int]								=  super().__new__(cls,      a_,      a_,      a_		)
   if not hasattr(a_,      """key_handler"""		):
     setattr(a_,      """key_handler""",      {}		)
   setattr(a_,      """handle_input""",      KeyHandler.handle_input		)

   for value in attrs.values():
     _snake_case							:		List[Any]								=  getattr(a_,      """handle_key""",      []		)
     for key in handled_keys:
       _snake_case							:		Dict								=  value
   return new_cls


 @staticmethod
 def  UpperCamelCase_   (				cls:		str		):




   '''simple docstring'''



   _snake_case							:		List[Any]								=  get_character()
   if char != KEYMAP["undefined"]:
     _snake_case							:		Union[str, Any]								=  ord(a_		)
   _snake_case							:		Optional[int]								=  cls.key_handler.get(a_		)
   if handler:
     _snake_case							:		Optional[int]								=  char
     return handler(cls		)
   else:
     return None







def 					UpperCAmelCase__       (cls							:					Union[str, Any]    ):
  """simple docstring"""

  return KeyHandler(cls.__name__		,   cls.__bases__		,   cls.__dict__.copy()    )



'''simple docstring'''

import os
from argparse import ArgumentParser
from typing import List

import torch.utils.data

from datasets import Dataset, IterableDataset
from datasets.distributed import split_dataset_by_node


__a: Optional[int]          =   4
__a: Optional[Any]          =   3



class 			UpperCAmelCase  (						a__					):





       '''simple docstring'''



       pass


def 			__UpperCamelCase       (   UpperCAmelCase     ):
 for shard in shards:
  for i in range(UpperCAmelCase     ):
   yield {"i": i, "shard": shard}
def 			__UpperCamelCase       (   ):
 lowercase__				:    Tuple  =					int(os.environ['''RANK''']     )
 lowercase__				:    List[str]  =					int(os.environ['''WORLD_SIZE''']     )

 lowercase__				:    Optional[Any]  =					ArgumentParser()
 parser.add_argument('''--streaming'''		,     type=UpperCAmelCase     )
 parser.add_argument('''--local_rank'''		,     type=UpperCAmelCase     )
 parser.add_argument('''--num_workers'''		,     type=UpperCAmelCase		,     default=0     )
 lowercase__				:    List[Any]  =					parser.parse_args()
 lowercase__				:    List[str]  =					args.streaming
 lowercase__				:    str  =					args.num_workers

 lowercase__				:    Optional[int]  =					{'''shards''': [F"""shard_{shard_idx}""" for shard_idx in range(UpperCAmelCase     )]}
 lowercase__				:    Tuple  =					IterableDataset.from_generator(UpperCAmelCase		,     gen_kwargs=UpperCAmelCase     )
 if not streaming:
  lowercase__				:    int  =					Dataset.from_list(list(UpperCAmelCase     )     )

 lowercase__				:    str  =					split_dataset_by_node(UpperCAmelCase		,     rank=UpperCAmelCase		,     world_size=UpperCAmelCase     )
 lowercase__				:    Optional[int]  =					torch.utils.data.DataLoader(UpperCAmelCase		,     num_workers=UpperCAmelCase     )

 lowercase__				:    Dict  =					NUM_SHARDS * NUM_ITEMS_PER_SHARD
 lowercase__				:    Optional[Any]  =					full_size // world_size
 expected_local_size += int(rank < (full_size % world_size)     )

 lowercase__				:    Union[str, Any]  =					sum(1 for _ in dataloader     )
 if local_size != expected_local_size:
  raise FailedTestError(F"""local_size {local_size} != expected_local_size {expected_local_size}"""     )


if __name__ == "__main__":
  main()

