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


_lowerCamelCase   :				Any     			=						4
_lowerCamelCase   :				Any     			=						3


class   lowercase      (       a       ):
       pass





def 		__lowerCamelCase							(UpperCAmelCase__       :							List[Any]					):
     for shard in shards:
          for i in range(lowercase__					):
               yield {"i": i, "shard": shard}





def 		__lowerCamelCase							():
     SCREAMING_SNAKE_CASE           =    int(os.environ["RANK"]					)
     SCREAMING_SNAKE_CASE           =    int(os.environ["WORLD_SIZE"]					)

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

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

     SCREAMING_SNAKE_CASE           =    split_dataset_by_node(lowercase__ ,	rank=lowercase__ ,	world_size=lowercase__					)
     SCREAMING_SNAKE_CASE           =    torch.utils.data.DataLoader(lowercase__ ,	num_workers=lowercase__					)

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

     SCREAMING_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()





def 		__lowerCamelCase							(UpperCAmelCase__       :							int ,	UpperCAmelCase__       :							int					):
					while b:
										SCREAMING_SNAKE_CASE     ,				SCREAMING_SNAKE_CASE           =    b, a % b
					return a





def 		__lowerCamelCase							(UpperCAmelCase__       :							int ,	UpperCAmelCase__       :							int					):
					return a if b == 0 else euclidean_gcd_recursive(UpperCAmelCase__ ,	a % b					)





def 		__lowerCamelCase							():
					print(F"euclidean_gcd(3, 5) = {euclidean_gcd(3 ,	5					)}"					)
					print(F"euclidean_gcd(5, 3) = {euclidean_gcd(5 ,	3					)}"					)
					print(F"euclidean_gcd(1, 3) = {euclidean_gcd(1 ,	3					)}"					)
					print(F"euclidean_gcd(3, 6) = {euclidean_gcd(3 ,	6					)}"					)
					print(F"euclidean_gcd(6, 3) = {euclidean_gcd(6 ,	3					)}"					)

					print(F"euclidean_gcd_recursive(3, 5) = {euclidean_gcd_recursive(3 ,	5					)}"					)
					print(F"euclidean_gcd_recursive(5, 3) = {euclidean_gcd_recursive(5 ,	3					)}"					)
					print(F"euclidean_gcd_recursive(1, 3) = {euclidean_gcd_recursive(1 ,	3					)}"					)
					print(F"euclidean_gcd_recursive(3, 6) = {euclidean_gcd_recursive(3 ,	6					)}"					)
					print(F"euclidean_gcd_recursive(6, 3) = {euclidean_gcd_recursive(6 ,	3					)}"					)


if __name__ == "__main__":
							main()




