



'''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


UpperCamelCase__:     Tuple										=    4
UpperCamelCase__:     Optional[int]										=    3

class        SCREAMING_SNAKE_CASE(							A__    ):







	"""simple docstring"""






	pass


def 				snake_case_  (      _lowerCAmelCase						:		List[str]						)   ->     Tuple:
							for shard in shards:
														for i in range(_lowerCAmelCase						):
																					yield {"i": i, "shard": shard}


def 				snake_case_  (      )   ->     List[str]:
							UpperCAmelCase				: List[Any]											=	int(os.environ['''RANK''']						)
							UpperCAmelCase				: List[str]											=	int(os.environ['''WORLD_SIZE''']						)

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

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

							UpperCAmelCase				: Optional[int]											=	split_dataset_by_node(_lowerCAmelCase     ,   rank=_lowerCAmelCase     ,   world_size=_lowerCAmelCase						)
							UpperCAmelCase				: Optional[int]											=	torch.utils.data.DataLoader(_lowerCAmelCase     ,   num_workers=_lowerCAmelCase						)

							UpperCAmelCase				: Optional[int]											=	NUM_SHARDS * NUM_ITEMS_PER_SHARD
							UpperCAmelCase				: int											=	full_size // world_size
							expected_local_size += int(rank < (full_size % world_size)						)

							UpperCAmelCase				: Tuple											=	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'''






# Lint as: python3
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union


UpperCamelCase__:     List[str]										=    re.compile(r"^(?P<major>\d+)" r"\.(?P<minor>\d+)" r"\.(?P<patch>\d+)$")

@total_ordering
@dataclass
class        SCREAMING_SNAKE_CASE:







	"""simple docstring"""






	lowerCamelCase__    				= 42
	lowerCamelCase__    				= None
	lowerCamelCase__    				= None
	lowerCamelCase__    				= None
	lowerCamelCase__    				= None







	def   A			(		self    :  Optional[Any]	)    ->	Dict:
								UpperCAmelCase							,	UpperCAmelCase							,	UpperCAmelCase				: Any											=	_str_to_version_tuple(self.version_str	)







	def __repr__(		self    :  str	)    ->	Optional[Any]:
								return F"""{self.tuple[0]}.{self.tuple[1]}.{self.tuple[2]}"""







	@property
	def   A			(		self    :  Tuple	)    ->	Dict:
								return self.major, self.minor, self.patch







	def   A			(		self    :  str	,    __snake_case    :  Any	)    ->	Tuple:
								if isinstance(__snake_case	,    __snake_case	):
															return Version(__snake_case	)
								elif isinstance(__snake_case	,    __snake_case	):
															return other
								raise TypeError(F"""{other} (type {type(__snake_case	)}) cannot be compared to version."""	)







	def __eq__(		self    :  str	,    __snake_case    :  Union[str, Any]	)    ->	List[Any]:
								try:
															UpperCAmelCase				: Dict											=	self._validate_operand(__snake_case	)
								except (TypeError, ValueError):
															return False
								else:
															return self.tuple == other.tuple







	def __lt__(		self    :  Any	,    __snake_case    :  int	)    ->	Optional[int]:
								UpperCAmelCase				: int											=	self._validate_operand(__snake_case	)
								return self.tuple < other.tuple







	def __hash__(		self    :  List[str]	)    ->	str:
								return hash(_version_tuple_to_str(self.tuple	)	)







	@classmethod
	def   A			(		cls    :  Any	,    __snake_case    :  Tuple	)    ->	Union[str, Any]:
								UpperCAmelCase				: Optional[Any]											=	{f.name for f in dataclasses.fields(cls	)}
								return cls(**{k: v for k, v in dic.items() if k in field_names}	)







	def   A			(		self    :  Dict	)    ->	str:
								return self.version_str


def 				snake_case_  (      _lowerCAmelCase						:		Optional[Any]						)   ->     List[Any]:
							UpperCAmelCase				: Optional[Any]											=	_VERSION_REG.match(_lowerCAmelCase						)
							if not res:
														raise ValueError(f"""Invalid version '{version_str}'. Format should be x.y.z with {{x,y,z}} being digits."""						)
							return tuple(int(_lowerCAmelCase						) for v in [res.group('''major'''						), res.group('''minor'''						), res.group('''patch'''						)]						)




def 				snake_case_  (      _lowerCAmelCase						:		List[str]						)   ->     List[Any]:
							return ".".join(str(_lowerCAmelCase						) for v in version_tuple						)





