



"""simple docstring"""







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

from transformers import AutoTokenizer
from utils import SeqaSeqDataset, pickle_save

def 				UpperCamelCase_    (    lowerCAmelCase__      :				Optional[Any]    ,   lowerCAmelCase__      :				List[str]    ,   lowerCAmelCase__      :				Optional[Any]=1024    ,   lowerCAmelCase__      :				str=1024    ,   lowerCAmelCase__      :				Union[str, Any]=False    ,   **lowerCAmelCase__      :				str						)						->   int:

  """simple docstring"""




  lowerCAmelCase_   :				Union[str, Any]								= AutoTokenizer.from_pretrained(__lowerCamelCase						)
  lowerCAmelCase_   :				str								= SeqaSeqDataset(__lowerCamelCase    ,   __lowerCamelCase    ,   __lowerCamelCase    ,   __lowerCamelCase    ,   type_path='train'    ,   **__lowerCamelCase						)
  lowerCAmelCase_   :				Dict								= tok.pad_token_id

  def get_lens(lowerCAmelCase__      :				Any						):
    lowerCAmelCase_   :				List[Any]								= tqdm(
        DataLoader(__lowerCamelCase    ,   batch_size=512    ,   num_workers=8    ,   shuffle=__lowerCamelCase    ,   collate_fn=ds.collate_fn						)    ,   desc=str(ds.len_file						)    ,   )
    lowerCAmelCase_   :				Dict								= []
    for batch in dl:
      lowerCAmelCase_   :				Any								= batch['''input_ids'''].ne(__lowerCamelCase						).sum(1						).tolist()
      lowerCAmelCase_   :				List[str]								= 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

  lowerCAmelCase_   :				List[Any]								= get_lens(__lowerCamelCase						)
  lowerCAmelCase_   :				Optional[int]								= SeqaSeqDataset(__lowerCamelCase    ,   __lowerCamelCase    ,   __lowerCamelCase    ,   __lowerCamelCase    ,   type_path='val'    ,   **__lowerCamelCase						)
  lowerCAmelCase_   :				Optional[Any]								= 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"""






from __future__ import annotations






def      snake_case__   (		__lowerCamelCase				:    int							,		__lowerCamelCase				:    int	):
			"""simple docstring"""
			if b == 0:
						return (1, 0)
			((lowerCamelCase__)	,   (lowerCamelCase__))		:		Any			=extended_euclid(__lowerCamelCase							,		a % b	)
			lowerCamelCase__		:		Optional[Any]			=a // b
			return (y, x - k * y)






def      snake_case__   (		__lowerCamelCase				:    int							,		__lowerCamelCase				:    int							,		__lowerCamelCase				:    int							,		__lowerCamelCase				:    int	):
			"""simple docstring"""
			((lowerCamelCase__)	,   (lowerCamelCase__))		:		Any			=extended_euclid(__lowerCamelCase							,		__lowerCamelCase	)
			lowerCamelCase__		:		List[Any]			=na * na
			lowerCamelCase__		:		Union[str, Any]			=ra * x * na + ra * y * na
			return (n % m + m) % m






def      snake_case__   (		__lowerCamelCase				:    int							,		__lowerCamelCase				:    int	):
			"""simple docstring"""
			((lowerCamelCase__)	,   (lowerCamelCase__))		:		int			=extended_euclid(__lowerCamelCase							,		__lowerCamelCase	)
			if b < 0:
						lowerCamelCase__		:		Any			=(b % n + n) % n
			return b






def      snake_case__   (		__lowerCamelCase				:    int							,		__lowerCamelCase				:    int							,		__lowerCamelCase				:    int							,		__lowerCamelCase				:    int	):
			"""simple docstring"""
			lowerCamelCase__	,   lowerCamelCase__		:		Any			=invert_modulo(__lowerCamelCase							,		__lowerCamelCase	), invert_modulo(__lowerCamelCase							,		__lowerCamelCase	)
			lowerCamelCase__		:		Tuple			=na * na
			lowerCamelCase__		:		Optional[Any]			=ra * x * na + ra * y * na
			return (n % m + m) % m


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

		testmod(name="chinese_remainder_theorem", verbose=True)
		testmod(name="chinese_remainder_theorem2", verbose=True)
		testmod(name="invert_modulo", verbose=True)
		testmod(name="extended_euclid", verbose=True)




