
"""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


_a      :			str					=							4
_a      :			Optional[Any]					=							3






class      _UpperCAmelCase				(					_A):
				pass


def 				a__   (   a   :				int		):

		"""simple docstring"""







		for shard in shards:
				for i in range(_lowerCamelCase		):
						yield {"i": i, "shard": shard}
def 				a__   (   ):

		"""simple docstring"""







		_snake_case     :						Tuple						=   int(os.environ["RANK"]		)
		_snake_case     :						Optional[int]						=   int(os.environ["WORLD_SIZE"]		)

		_snake_case     :						List[Any]						=   ArgumentParser()
		parser.add_argument("--streaming"       ,     type=_lowerCamelCase		)
		parser.add_argument("--local_rank"       ,     type=_lowerCamelCase		)
		parser.add_argument("--num_workers"       ,     type=_lowerCamelCase       ,     default=0		)
		_snake_case     :						List[Any]						=   parser.parse_args()
		_snake_case     :						Union[str, Any]						=   args.streaming
		_snake_case     :						Dict						=   args.num_workers

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

		_snake_case     :						Dict						=   split_dataset_by_node(_lowerCamelCase       ,     rank=_lowerCamelCase       ,     world_size=_lowerCamelCase		)
		_snake_case     :						Union[str, Any]						=   torch.utils.data.DataLoader(_lowerCamelCase       ,     num_workers=_lowerCamelCase		)

		_snake_case     :						Union[str, Any]						=   NUM_SHARDS * NUM_ITEMS_PER_SHARD
		_snake_case     :						List[Any]						=   full_size // world_size
		expected_local_size += int(rank < (full_size % world_size)		)

		_snake_case     :						Union[str, Any]						=   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"""
def 				a__   (   a   :				list       ,     a   :				int       ,     a   :				int = 0       ,     a   :				int = 0		):

  """simple docstring"""







  _snake_case     :						Optional[int]						=   right or len(a		) - 1
  if left > right:
    return -1
  elif list_data[left] == key:
    return left
  elif list_data[right] == key:
    return right
  else:
    return search(a       ,     a       ,     left + 1       ,     right - 1		)


if __name__ == "__main__":
    import doctest

    doctest.testmod()

