

"""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   _A  (  UpperCamelCase_					:	Any,      UpperCamelCase_					:	List[Any],      UpperCamelCase_					:	str=1024,      UpperCamelCase_					:	List[str]=1024,      UpperCamelCase_					:	Any=False,      **UpperCamelCase_					:	List[str])     ->						List[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_					:	str):
      __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"""





_a							=							[
    'DownloadConfig',
    'DownloadManager',
    'DownloadMode',
    'StreamingDownloadManager',
]

from .download_config import DownloadConfig
from .download_manager import DownloadManager, DownloadMode
from .streaming_download_manager import StreamingDownloadManager




