
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_  :	List[Any] 				=					4
lowerCamelCase_  :	Dict 				=					3

class     _UpperCamelCase			(   _A					):






			'''simple docstring'''

			pass







def     A__   (  lowerCamelCase  )					->		Optional[Any]:
				for shard in shards:
								for i in range(lowerCamelCase  ):
												yield {"i": i, "shard": shard}







def     A__   (  )					->		Optional[int]:
				UpperCamelCase_:							Optional[int]		=  int(os.environ["""RANK"""]  )
				UpperCamelCase_:							List[str]		=  int(os.environ["""WORLD_SIZE"""]  )

				UpperCamelCase_:							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_:							Tuple		=  parser.parse_args()
				UpperCamelCase_:							Tuple		=  args.streaming
				UpperCamelCase_:							Optional[int]		=  args.num_workers

				UpperCamelCase_:							Any		=  {"""shards""": [F'''shard_{shard_idx}''' for shard_idx in range(lowerCamelCase  )]}
				UpperCamelCase_:							Union[str, Any]		=  IterableDataset.from_generator(lowerCamelCase       ,      gen_kwargs=lowerCamelCase  )
				if not streaming:
								UpperCamelCase_:							Optional[Any]		=  Dataset.from_list(list(lowerCamelCase  )  )

				UpperCamelCase_:							Optional[Any]		=  split_dataset_by_node(lowerCamelCase       ,      rank=lowerCamelCase       ,      world_size=lowerCamelCase  )
				UpperCamelCase_:							Tuple		=  torch.utils.data.DataLoader(lowerCamelCase       ,      num_workers=lowerCamelCase  )

				UpperCamelCase_:							Dict		=  NUM_SHARDS * NUM_ITEMS_PER_SHARD
				UpperCamelCase_:							List[str]		=  full_size // world_size
				expected_local_size += int(rank < (full_size % world_size)  )

				UpperCamelCase_:							Optional[int]		=  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  )					->		list:
				UpperCamelCase_:							Optional[int]		=  word.split()

				def justify(lowerCamelCase       ,      lowerCamelCase       ,      lowerCamelCase  ) -> str:
								UpperCamelCase_:							Tuple		=  max_width - width
								UpperCamelCase_:							Optional[Any]		=  len(lowerCamelCase  )
								if len(lowerCamelCase  ) == 1:
												# if there is only word in line
												# just insert overall_spaces_count for the remainder of line
												return line[0] + " " * overall_spaces_count
								else:
												UpperCamelCase_:							List[Any]		=  words_count - 1
												# num_spaces_between_words_list[i] : tells you to insert
												# num_spaces_between_words_list[i] spaces
												# after word on line[i]
												UpperCamelCase_:							Optional[Any]		=  spaces_to_insert_between_words * [
												    overall_spaces_count // spaces_to_insert_between_words
												]
												UpperCamelCase_:							List[str]		=  (
												    overall_spaces_count % spaces_to_insert_between_words
												)
												# distribute spaces via round robin to the left words
												for i in range(lowerCamelCase  ):
																num_spaces_between_words_list[i] += 1
												UpperCamelCase_:							Dict		=  []
												for i in range(lowerCamelCase  ):
																# add the word
																aligned_words_list.append(line[i]  )
																# add the spaces to insert
																aligned_words_list.append(num_spaces_between_words_list[i] * """ """  )
												# just add the last word to the sentence
												aligned_words_list.append(line[-1]  )
												# join the aligned words list to form a justified line
												return "".join(lowerCamelCase  )

				UpperCamelCase_:							Optional[int]		=  []
				UpperCamelCase_:							list[str]		=  []
				UpperCamelCase_:							List[str]		=  0
				for word in words:
								if width + len(lowerCamelCase  ) + len(lowerCamelCase  ) <= max_width:
												# keep adding words until we can fill out max_width
												# width = sum of length of all words (without overall_spaces_count)
												# len(word) = length of current word
												# len(line) = number of overall_spaces_count to insert between words
												line.append(lowerCamelCase  )
												width += len(lowerCamelCase  )
								else:
												# justify the line and add it to result
												answer.append(justify(lowerCamelCase       ,      lowerCamelCase       ,      lowerCamelCase  )  )
												# reset new line and new width
												UpperCamelCase_,				UpperCamelCase_:							List[str]		=  [word], len(lowerCamelCase  )
				UpperCamelCase_:							List[str]		=  max_width - width - len(lowerCamelCase  )
				answer.append(""" """.join(lowerCamelCase  ) + (remaining_spaces + 1) * """ """  )
				return answer


if __name__ == "__main__":
							from doctest import testmod

							testmod()






