


'''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


_lowercase    :    Tuple			     =  4
_lowercase    :    Union[str, Any]			     =  3






class  UpperCamelCase__(     __lowerCAmelCase ):
				pass







def    lowerCamelCase__   ( A     :    List[str]  ):




						'''simple docstring'''






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


def    lowerCamelCase__   ( ):




						'''simple docstring'''






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

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

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

						UpperCAmelCase         =			split_dataset_by_node(A   ,     rank=A   ,     world_size=A  )
						UpperCAmelCase         =			torch.utils.data.DataLoader(A   ,     num_workers=A  )

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

						UpperCAmelCase         =			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  UpperCamelCase__(     metaclass=lowerCAmelCase ):
				__magic_name__       :   List[str]							= ["note_seq"]




				def __init__(	self    :				Any   ,					*lowerCAmelCase    :				List[str]   ,					**lowerCAmelCase    :				int   )->  Optional[int]:

										"""simple docstring"""




										requires_backends(self   ,					['''note_seq''']   )




				@classmethod
				def   a__(	cls    :				Dict   ,					*lowerCAmelCase    :				int   ,					**lowerCAmelCase    :				Optional[int]   )->  Dict:

										"""simple docstring"""




										requires_backends(cls   ,					['''note_seq''']   )





				@classmethod
				def   a__(	cls    :				int   ,					*lowerCAmelCase    :				Tuple   ,					**lowerCAmelCase    :				Optional[Any]   )->  Union[str, Any]:

										"""simple docstring"""




										requires_backends(cls   ,					['''note_seq''']   )





