




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

from transformers import AutoTokenizer
from utils import SeqaSeqDataset, pickle_save

def 							SCREAMING_SNAKE_CASE__       (  snake_case__  :Tuple			,							snake_case__  :Optional[Any]			,							snake_case__  :str=1024			,							snake_case__  :Dict=1024			,							snake_case__  :str=False			,							**snake_case__  :Any     )      ->						Dict:
  _lowercase							= AutoTokenizer.from_pretrained(snake_case__     )
  _lowercase							= SeqaSeqDataset(snake_case__			,							snake_case__			,							snake_case__			,							snake_case__			,							type_path='train'			,							**snake_case__     )
  _lowercase							= tok.pad_token_id

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

  _lowercase							= get_lens(snake_case__     )
  _lowercase							= SeqaSeqDataset(snake_case__			,							snake_case__			,							snake_case__			,							snake_case__			,							type_path='val'			,							**snake_case__     )
  _lowercase							= get_lens(snake_case__     )
  pickle_save(snake_case__			,							train_ds.len_file     )
  pickle_save(snake_case__			,							val_ds.len_file     )


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






from ....utils import logging


snake_case 				=       logging.get_logger(__name__)





class 				A_				(      UpperCAmelCase	):







       """simple docstring"""





       def __init__(    self	:	Union[str, Any]						,__A	:	int						,__A	:	List[Any]=None						,__A	:	List[str]=2048  )						->					List[Any]:
         _lowercase							= config.__dict__
         _lowercase							= modal_hidden_size
         if num_labels:
           _lowercase							= num_labels