


"""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__						:			Dict					, UpperCamelCase__						:			Optional[int]					, UpperCamelCase__						:			int=1024					, UpperCamelCase__						:			Tuple=1024					, UpperCamelCase__						:			Optional[Any]=False					, **UpperCamelCase__						:			Any			):






 """simple docstring"""







 __lowercase						=						AutoTokenizer.from_pretrained(UpperCamelCase__			)
 __lowercase						=						SeqaSeqDataset(UpperCamelCase__					, UpperCamelCase__					, UpperCamelCase__					, UpperCamelCase__					, type_path="""train"""					, **UpperCamelCase__			)
 __lowercase						=						tok.pad_token_id

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

 __lowercase						=						get_lens(UpperCamelCase__			)
 __lowercase						=						SeqaSeqDataset(UpperCamelCase__					, UpperCamelCase__					, UpperCamelCase__					, UpperCamelCase__					, type_path="""val"""					, **UpperCamelCase__			)
 __lowercase						=						get_lens(UpperCamelCase__			)
 pickle_save(UpperCamelCase__					, train_ds.len_file			)
 pickle_save(UpperCamelCase__					, val_ds.len_file			)


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




"""simple docstring"""

def lowerCAmelCase_   (					UpperCamelCase__						:			int					, UpperCamelCase__						:			int			):






 """simple docstring"""







 return x if y == 0 else greatest_common_divisor(UpperCamelCase__					, x % y			)


def lowerCAmelCase_   (					UpperCamelCase__						:			int					, UpperCamelCase__						:			int			):






 """simple docstring"""







 return (x * y) // greatest_common_divisor(UpperCamelCase__					, UpperCamelCase__			)


def lowerCAmelCase_   (					UpperCamelCase__						:			int = 20			):






 """simple docstring"""







 __lowercase						=						1
 for i in range(1					, n + 1			):
  __lowercase						=						lcm(UpperCamelCase__					, UpperCamelCase__			)
 return g


if __name__ == "__main__":
       print(f"""{solution() = }""")
