



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__			= 4
lowerCamelCase__			= 3






class    SCREAMING_SNAKE_CASE			(							lowerCamelCase__					):
							pass



def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			List[str]    ):
				"""simple docstring"""







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

def   lowerCAmelCase__						(							):
				"""simple docstring"""







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

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

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

				__a       =		split_dataset_by_node(_SCREAMING_SNAKE_CASE				,     rank=_SCREAMING_SNAKE_CASE				,     world_size=_SCREAMING_SNAKE_CASE    )
				__a       =		torch.utils.data.DataLoader(_SCREAMING_SNAKE_CASE				,     num_workers=_SCREAMING_SNAKE_CASE    )

				__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()





def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			list				,     _SCREAMING_SNAKE_CASE       :			list				,     _SCREAMING_SNAKE_CASE       :			int				,     _SCREAMING_SNAKE_CASE       :			int				,     _SCREAMING_SNAKE_CASE       :			int    ):
				"""simple docstring"""







				if index == number_of_items:
								return 0
				__a       =		0
				__a       =		0
				__a       =		knapsack(_SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE				,     index + 1    )
				if weights[index] <= max_weight:
								__a       =		values[index] + knapsack(
								    _SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE				,     max_weight - weights[index]				,     index + 1    )
				return max(_SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE    )


if __name__ == "__main__":
						import doctest

						doctest.testmod()
