





import fire
from torch.utils.data import DataLoader
from tqdm import tqdm

from transformers import AutoTokenizer
from utils import SeqaSeqDataset, pickle_save
def 	_A			(						SCREAMING_SNAKE_CASE	:  Any			,			SCREAMING_SNAKE_CASE	:  Union[str, Any]			,			SCREAMING_SNAKE_CASE	:  Optional[int]=1_024			,			SCREAMING_SNAKE_CASE	:  Union[str, Any]=1_024			,			SCREAMING_SNAKE_CASE	:  Optional[int]=False			,			**SCREAMING_SNAKE_CASE	:  Optional[int]		):





  """simple docstring"""



  a__      :   List[Any]      =AutoTokenizer.from_pretrained(lowerCAmelCase_		)
  a__      :   List[Any]      =SeqaSeqDataset(lowerCAmelCase_			,			lowerCAmelCase_			,			lowerCAmelCase_			,			lowerCAmelCase_			,			type_path="train"			,			**lowerCAmelCase_		)
  a__      :   Union[str, Any]      =tok.pad_token_id

  def get_lens(SCREAMING_SNAKE_CASE	:  Optional[int]		):
    a__      :   Any      =tqdm(
        DataLoader(lowerCAmelCase_			,			batch_size=512			,			num_workers=8			,			shuffle=lowerCAmelCase_			,			collate_fn=ds.collate_fn		)			,			desc=str(ds.len_file		)			,			)
    a__      :   int      =[]
    for batch in dl:
      a__      :   List[Any]      =batch['input_ids'].ne(lowerCAmelCase_		).sum(1		).tolist()
      a__      :   Any      =batch['labels'].ne(lowerCAmelCase_		).sum(1		).tolist()
      if consider_target:
        for src, tgt in zip(lowerCAmelCase_			,			lowerCAmelCase_		):
          max_lens.append(max(lowerCAmelCase_			,			lowerCAmelCase_		)		)
      else:
        max_lens.extend(lowerCAmelCase_		)
    return max_lens

  a__      :   Dict      =get_lens(lowerCAmelCase_		)
  a__      :   List[Any]      =SeqaSeqDataset(lowerCAmelCase_			,			lowerCAmelCase_			,			lowerCAmelCase_			,			lowerCAmelCase_			,			type_path="val"			,			**lowerCAmelCase_		)
  a__      :   Tuple      =get_lens(lowerCAmelCase_		)
  pickle_save(lowerCAmelCase_			,			train_ds.len_file		)
  pickle_save(lowerCAmelCase_			,			val_ds.len_file		)


if __name__ == "__main__":
     fire.Fire(save_len_file)











'''simple docstring'''

def 	__lowerCamelCase	( )     -> Union[str, Any]:
		_a	: Optional[Any]								=				[]
		_a	: List[str]								=				1

		while len(lowerCAmelCase_    ) < 1E6:
				constant.append(str(lowerCAmelCase_    )    )
				i += 1

		_a	: Optional[Any]								=				''.join(lowerCAmelCase_    )

		return (
		    int(constant[0]    )
		    * int(constant[9]    )
		    * int(constant[99]    )
		    * int(constant[999]    )
		    * int(constant[9999]    )
		    * int(constant[99999]    )
		    * int(constant[999999]    )
		)


if __name__ == "__main__":
							print(solution())




