

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      		=     4
__A      		=     3



class   lowercase_   (  __lowercase					):
      pass



def 				snake_case_(_UpperCamelCase					)							->     Dict:



  """simple docstring"""






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



def 				snake_case_()							->     Optional[Any]:



  """simple docstring"""






  _snake_case						=							int(os.environ['''RANK''']					)
  _snake_case						=							int(os.environ['''WORLD_SIZE''']					)

  _snake_case						=							ArgumentParser()
  parser.add_argument('''--streaming'''			,	type=_UpperCamelCase					)
  parser.add_argument('''--local_rank'''			,	type=_UpperCamelCase					)
  parser.add_argument('''--num_workers'''			,	type=_UpperCamelCase			,	default=0					)
  _snake_case						=							parser.parse_args()
  _snake_case						=							args.streaming
  _snake_case						=							args.num_workers

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

  _snake_case						=							split_dataset_by_node(_UpperCamelCase			,	rank=_UpperCamelCase			,	world_size=_UpperCamelCase					)
  _snake_case						=							torch.utils.data.DataLoader(_UpperCamelCase			,	num_workers=_UpperCamelCase					)

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

  _snake_case						=							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()




from ..utils import DummyObject, requires_backends



class   lowercase_   (  metaclass=__lowercase					):
      UpperCamelCase_      :		Optional[int]										=    ["speech"]



      def __init__(      self				:    str      , *A__				:    List[str]      , **A__				:    Tuple		)   ->					Optional[Any]:
        requires_backends(self      , ['''speech''']		)



class   lowercase_   (  metaclass=__lowercase					):
      UpperCamelCase_      :		Optional[Any]										=    ["speech"]



      def __init__(      self				:    Dict      , *A__				:    int      , **A__				:    int		)   ->					Tuple:
        requires_backends(self      , ['''speech''']		)

