




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

from transformers import AutoTokenizer
from utils import SeqaSeqDataset, pickle_save







def        lowerCAmelCase_			(  snake_case_,snake_case_,snake_case_=1024,snake_case_=1024,snake_case_=False,**snake_case_  ):
						_A							:  str    =		AutoTokenizer.from_pretrained(snake_case_  )
						_A							:  Tuple    =		SeqaSeqDataset(snake_case_,snake_case_,snake_case_,snake_case_,type_path="""train""",**snake_case_  )
						_A							:  Dict    =		tok.pad_token_id

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

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


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







import operator







def        lowerCAmelCase_			(  snake_case_,snake_case_ = False,snake_case_ = None  ):
      _A							:  str    =		operator.lt if reverse else operator.gt
      _A							:  Optional[Any]    =		solution or []

      if not arr:
            return solution

      _A							:  Dict    =		[arr.pop(0  )]
      for i, item in enumerate(snake_case_  ):
            if _operator(snake_case_,sublist[-1]  ):
                  sublist.append(snake_case_  )
                  arr.pop(snake_case_  )

    #  merging sublist into solution list
      if not solution:
            solution.extend(snake_case_  )
      else:
            while sublist:
                  _A							:  Union[str, Any]    =		sublist.pop(0  )
                  for i, xx in enumerate(snake_case_  ):
                        if not _operator(snake_case_,snake_case_  ):
                              solution.insert(snake_case_,snake_case_  )
                              break
                  else:
                        solution.append(snake_case_  )

      strand_sort(snake_case_,snake_case_,snake_case_  )
      return solution


if __name__ == "__main__":
  assert strand_sort([4, 3, 5, 1, 2]) == [1, 2, 3, 4, 5]
  assert strand_sort([4, 3, 5, 1, 2], reverse=True) == [5, 4, 3, 2, 1]

