



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	=						4
_snake_case	=						3



class 						UpperCAmelCase_					( a):
       pass






def        A       (      _lowerCamelCase						):





       '''simple docstring'''




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






def        A       (      ):





       '''simple docstring'''




       _lowerCAmelCase  :							Any				     =					int(os.environ["RANK"]						)
       _lowerCAmelCase  :							int				     =					int(os.environ["WORLD_SIZE"]						)

       _lowerCAmelCase  :							List[str]				     =					ArgumentParser()
       parser.add_argument("--streaming"       ,				type=UpperCAmelCase__						)
       parser.add_argument("--local_rank"       ,				type=UpperCAmelCase__						)
       parser.add_argument("--num_workers"       ,				type=UpperCAmelCase__       ,				default=0						)
       _lowerCAmelCase  :							int				     =					parser.parse_args()
       _lowerCAmelCase  :							str				     =					args.streaming
       _lowerCAmelCase  :							Optional[Any]				     =					args.num_workers

       _lowerCAmelCase  :							int				     =					{"shards": [F"shard_{shard_idx}" for shard_idx in range(UpperCAmelCase__						)]}
       _lowerCAmelCase  :							List[Any]				     =					IterableDataset.from_generator(UpperCAmelCase__       ,				gen_kwargs=UpperCAmelCase__						)
       if not streaming:
              _lowerCAmelCase  :							List[str]				     =					Dataset.from_list(list(UpperCAmelCase__						)						)

       _lowerCAmelCase  :							int				     =					split_dataset_by_node(UpperCAmelCase__       ,				rank=UpperCAmelCase__       ,				world_size=UpperCAmelCase__						)
       _lowerCAmelCase  :							List[str]				     =					torch.utils.data.DataLoader(UpperCAmelCase__       ,				num_workers=UpperCAmelCase__						)

       _lowerCAmelCase  :							Tuple				     =					NUM_SHARDS * NUM_ITEMS_PER_SHARD
       _lowerCAmelCase  :							Dict				     =					full_size // world_size
       expected_local_size += int(rank < (full_size % world_size)						)

       _lowerCAmelCase  :							List[str]				     =					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        A       (      _lowerCamelCase       ,				_lowerCamelCase						):





							'''simple docstring'''




							return price * (1 + tax_rate)


if __name__ == "__main__":
						print(f'''{price_plus_tax(100, 0.25) = }''')
						print(f'''{price_plus_tax(125.50, 0.05) = }''')
