



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


__snake_case     :List[str]			       =4
__snake_case     :List[str]			       =3



class        lowerCAmelCase__					(  _lowerCamelCase       ):
				pass






def  lowerCamelCase_	(      lowerCAmelCase__	:	List[str]				)       ->							Optional[Any]:

							'''simple docstring'''






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






def  lowerCamelCase_	(      )       ->							str:

							'''simple docstring'''






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

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

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

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

							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"""


import random
from typing import Any




def        lowercase__     (       lowercase_      )       ->		list[Any]:




      """simple docstring"""

      for _ in range(len(lowercase_      )      ):
            _UpperCamelCase   :						Dict    =							random.randint(0		,len(lowercase_      ) - 1      )
            _UpperCamelCase   :						str    =							random.randint(0		,len(lowercase_      ) - 1      )
            _UpperCamelCase,	_UpperCamelCase   :						Optional[Any]    =							data[b], data[a]
      return data


if __name__ == "__main__":
  lowerCamelCase__						= [0, 1, 2, 3, 4, 5, 6, 7]
  lowerCamelCase__						= ["python", "says", "hello", "!"]
  print("Fisher-Yates Shuffle:")
  print("List", integers, strings)
  print("FY Shuffle", fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))
