

'''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						:     Optional[Any]							, _UpperCamelCase						:     Union[str, Any]							, _UpperCamelCase						:     int=10_24							, _UpperCamelCase						:     Any=10_24							, _UpperCamelCase						:     int=False							, **_UpperCamelCase						:     List[str]				)      ->			int:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =AutoTokenizer.from_pretrained(_UpperCamelCase				)
     _SCREAMING_SNAKE_CASE							    =SeqaSeqDataset(_UpperCamelCase							, _UpperCamelCase							, _UpperCamelCase							, _UpperCamelCase							, type_path='train'							, **_UpperCamelCase				)
     _SCREAMING_SNAKE_CASE							    =tok.pad_token_id

     def get_lens(_UpperCamelCase						:     int				):
          _SCREAMING_SNAKE_CASE							    =tqdm(
              DataLoader(_UpperCamelCase							, batch_size=5_12							, num_workers=8							, shuffle=_UpperCamelCase							, collate_fn=ds.collate_fn				)							, desc=str(ds.len_file				)							, )
          _SCREAMING_SNAKE_CASE							    =[]
          for batch in dl:
               _SCREAMING_SNAKE_CASE							    =batch['input_ids'].ne(_UpperCamelCase				).sum(1				).tolist()
               _SCREAMING_SNAKE_CASE							    =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

     _SCREAMING_SNAKE_CASE							    =get_lens(_UpperCamelCase				)
     _SCREAMING_SNAKE_CASE							    =SeqaSeqDataset(_UpperCamelCase							, _UpperCamelCase							, _UpperCamelCase							, _UpperCamelCase							, type_path='val'							, **_UpperCamelCase				)
     _SCREAMING_SNAKE_CASE							    =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'''
from __future__ import annotations

import math


def        _lowerCAmelCase					(						_UpperCamelCase						:     int				)      ->			bool:
     """simple docstring"""




     if 1 < number < 4:
          # 2 and 3 are primes
          return True
     elif number < 2 or number % 2 == 0 or number % 3 == 0:
          # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
          return False

     # All primes number are in format of 6k +/- 1
     for i in range(5							, int(math.sqrt(_UpperCamelCase				) + 1				)							, 6				):
          if number % i == 0 or number % (i + 2) == 0:
               return False
     return True


def        _lowerCAmelCase					(						_UpperCamelCase						:     int				)      ->			list[int]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =str(_UpperCamelCase				)
     _SCREAMING_SNAKE_CASE							    =[n]
     for i in range(1							, len(_UpperCamelCase				)				):
          list_nums.append(int(str_num[i:]				)				)
          list_nums.append(int(str_num[:-i]				)				)
     return list_nums


def        _lowerCAmelCase					(						_UpperCamelCase						:     int				)      ->			bool:
     """simple docstring"""




     if len(str(_UpperCamelCase				)				) > 3:
          if not is_prime(int(str(_UpperCamelCase				)[-3:]				)				) or not is_prime(int(str(_UpperCamelCase				)[:3]				)				):
               return False
     return True


def        _lowerCAmelCase					(						_UpperCamelCase						:     int = 11				)      ->			list[int]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =[]
     _SCREAMING_SNAKE_CASE							    =13
     while len(_UpperCamelCase				) != count:
          if validate(_UpperCamelCase				):
               _SCREAMING_SNAKE_CASE							    =list_truncated_nums(_UpperCamelCase				)
               if all(is_prime(_UpperCamelCase				) for i in list_nums				):
                    list_truncated_primes.append(_UpperCamelCase				)
          num += 2
     return list_truncated_primes


def        _lowerCAmelCase					(						)      ->			int:
     """simple docstring"""




     return sum(compute_truncated_primes(11				)				)


if __name__ == "__main__":
     print(f'''{sum(compute_truncated_primes(1_1)) = }''')
