'''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 __lowerCAmelCase			(							UpperCamelCase__    ,  UpperCamelCase__    ,  UpperCamelCase__=10_24    ,  UpperCamelCase__=10_24    ,  UpperCamelCase__=False    ,  **UpperCamelCase__    )     ->   Optional[int]:
				__lowerCamelCase          =  AutoTokenizer.from_pretrained(_lowerCAmelCase    )
				__lowerCamelCase          =  SeqaSeqDataset(_lowerCAmelCase    ,  _lowerCAmelCase    ,  _lowerCAmelCase    ,  _lowerCAmelCase    ,  type_path='''train'''    ,  **_lowerCAmelCase    )
				__lowerCamelCase          =  tok.pad_token_id

				def get_lens(UpperCamelCase__    ):
								__lowerCamelCase          =  tqdm(
								    DataLoader(_lowerCAmelCase    ,  batch_size=5_12    ,  num_workers=8    ,  shuffle=_lowerCAmelCase    ,  collate_fn=ds.collate_fn    )    ,  desc=str(ds.len_file    )    ,  )
								__lowerCamelCase          =  []
								for batch in dl:
												__lowerCamelCase          =  batch['''input_ids'''].ne(_lowerCAmelCase    ).sum(1    ).tolist()
												__lowerCamelCase          =  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          =  get_lens(_lowerCAmelCase    )
				__lowerCamelCase          =  SeqaSeqDataset(_lowerCAmelCase    ,  _lowerCAmelCase    ,  _lowerCAmelCase    ,  _lowerCAmelCase    ,  type_path='''val'''    ,  **_lowerCAmelCase    )
				__lowerCamelCase          =  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			(							UpperCamelCase__    )     ->   str:
    __lowerCamelCase          =  []
    __lowerCamelCase          =  set({'''(''', '''[''', '''{'''}    )
    __lowerCamelCase          =  set({''')''', ''']''', '''}'''}    )
    __lowerCamelCase          =  {'''{''': '''}''', '''[''': ''']''', '''(''': ''')'''}

    for i in range(len(UpperCamelCase__    )    ):
        if s[i] in open_brackets:
            stack.append(s[i]    )

        elif s[i] in closed_brackets and (
            len(UpperCamelCase__    ) == 0 or (len(UpperCamelCase__    ) > 0 and open_to_closed[stack.pop()] != s[i])
        ):
            return False

    return len(UpperCamelCase__    ) == 0






def __lowerCAmelCase			(							)     ->   Union[str, Any]:
    __lowerCamelCase          =  input('''Enter sequence of brackets: '''    )
    if is_balanced(UpperCamelCase__    ):
        print(UpperCamelCase__    ,  '''is balanced'''    )
    else:
        print(UpperCamelCase__    ,  '''is not balanced'''    )


if __name__ == "__main__":
  main()
