'''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(   _A					:				List[Any]  ,			_A					:				int  ,			_A					:				Dict=10_24  ,			_A					:				Union[str, Any]=10_24  ,			_A					:				Optional[Any]=False  ,			**_A					:				str    ):
   '''simple docstring'''
   UpperCAmelCase__							:				str   				=  AutoTokenizer.from_pretrained(_A    )
   UpperCAmelCase__							:				List[Any]   				=  SeqaSeqDataset(_A  ,			_A  ,			_A  ,			_A  ,			type_path='''train'''  ,			**_A    )
   UpperCAmelCase__							:				int   				=  tok.pad_token_id

   def get_lens(_A					:				Union[str, Any]    ):
      UpperCAmelCase__							:				Dict   				=  tqdm(
          DataLoader(_A  ,			batch_size=5_12  ,			num_workers=8  ,			shuffle=_A  ,			collate_fn=ds.collate_fn    )  ,			desc=str(ds.len_file    )  ,			)
      UpperCAmelCase__							:				Tuple   				=  []
      for batch in dl:
         UpperCAmelCase__							:				str   				=  batch['''input_ids'''].ne(_A    ).sum(1    ).tolist()
         UpperCAmelCase__							:				List[Any]   				=  batch['''labels'''].ne(_A    ).sum(1    ).tolist()
         if consider_target:
            for src, tgt in zip(_A  ,			_A    ):
               max_lens.append(max(_A  ,			_A    )    )
         else:
            max_lens.extend(_A    )
      return max_lens

   UpperCAmelCase__							:				Union[str, Any]   				=  get_lens(_A    )
   UpperCAmelCase__							:				Any   				=  SeqaSeqDataset(_A  ,			_A  ,			_A  ,			_A  ,			type_path='''val'''  ,			**_A    )
   UpperCAmelCase__							:				Union[str, Any]   				=  get_lens(_A    )
   pickle_save(_A  ,			train_ds.len_file    )
   pickle_save(_A  ,			val_ds.len_file    )


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





'''simple docstring'''

def __UpperCamelCase(   _A					:				str  ,			_A					:				str    ):
   '''simple docstring'''
   UpperCAmelCase__							:				int   				=  len(_A    )
   UpperCAmelCase__							:				int   				=  len(_A    )
   UpperCAmelCase__							:				int   				=  (
       first_str_length if first_str_length > second_str_length else second_str_length
   )
   UpperCAmelCase__							:				list   				=  []
   for char_count in range(_A    ):
      if char_count < first_str_length:
         output_list.append(first_str[char_count]    )
      if char_count < second_str_length:
         output_list.append(second_str[char_count]    )
   return "".join(_A    )


if __name__ == "__main__":
  print(alternative_string_arrange('AB', 'XYZ'), end=' ')




