






"""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


UpperCamelCase							       =    4
UpperCamelCase							       =    3




class    lowercase_    (_UpperCAmelCase     ):
      pass







def        lowerCAmelCase (      UpperCamelCase_:							List[str]	)       ->							List[str]:







  '''simple docstring'''







  for shard in shards:
    for i in range(UpperCamelCase_	):
      yield {"i": i, "shard": shard}






def        lowerCAmelCase (      )       ->							int:







  '''simple docstring'''







  _a							=	int(os.environ["RANK"]	)
  _a							=	int(os.environ["WORLD_SIZE"]	)

  _a							=	ArgumentParser()
  parser.add_argument("--streaming"     , type=UpperCamelCase_	)
  parser.add_argument("--local_rank"     , type=UpperCamelCase_	)
  parser.add_argument("--num_workers"     , type=UpperCamelCase_     , default=0	)
  _a							=	parser.parse_args()
  _a							=	args.streaming
  _a							=	args.num_workers

  _a							=	{"shards": [f'''shard_{shard_idx}''' for shard_idx in range(UpperCamelCase_	)]}
  _a							=	IterableDataset.from_generator(UpperCamelCase_     , gen_kwargs=UpperCamelCase_	)
  if not streaming:
    _a							=	Dataset.from_list(list(UpperCamelCase_	)	)

  _a							=	split_dataset_by_node(UpperCamelCase_     , rank=UpperCamelCase_     , world_size=UpperCamelCase_	)
  _a							=	torch.utils.data.DataLoader(UpperCamelCase_     , num_workers=UpperCamelCase_	)

  _a							=	NUM_SHARDS * NUM_ITEMS_PER_SHARD
  _a							=	full_size // world_size
  expected_local_size += int(rank < (full_size % world_size)	)

  _a							=	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()










"""simple docstring"""




from ..utils import DummyObject, requires_backends




class    lowercase_    (metaclass=_UpperCAmelCase     ):
      A__	:		Any       			=				['''torch''', '''torchsde''']






      def __init__(    self     ,     *a_     ,     **a_	)	->Optional[int]:







        '''simple docstring'''


        requires_backends(self     ,     ["torch", "torchsde"]	)






      @classmethod
      def 			lowerCamelCase__    (    cls     ,     *a_     ,     **a_	)	->List[Any]:







        '''simple docstring'''


        requires_backends(cls     ,     ["torch", "torchsde"]	)






      @classmethod
      def 			lowerCamelCase__    (    cls     ,     *a_     ,     **a_	)	->str:







        '''simple docstring'''


        requires_backends(cls     ,     ["torch", "torchsde"]	)


