





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

from transformers import AutoTokenizer
from utils import SeqaSeqDataset, pickle_save





def        _lowercase   (  _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase=10_24     , _UpperCAmelCase=10_24     , _UpperCAmelCase=False     , **_UpperCAmelCase			)  ->					Optional[Any]:
    lowerCamelCase			=AutoTokenizer.from_pretrained(_UpperCAmelCase			)
    lowerCamelCase			=SeqaSeqDataset(_UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase     , type_path="""train"""     , **_UpperCAmelCase			)
    lowerCamelCase			=tok.pad_token_id

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

    lowerCamelCase			=get_lens(_UpperCAmelCase			)
    lowerCamelCase			=SeqaSeqDataset(_UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase     , type_path="""val"""     , **_UpperCAmelCase			)
    lowerCamelCase			=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)












import pytest
import requests

from datasets.utils.file_utils import http_head

from .utils import OfflineSimulationMode, RequestWouldHangIndefinitelyError, offline





@pytest.mark.integration
def        _lowercase   (  )  ->					str:
				with offline(OfflineSimulationMode.CONNECTION_TIMES_OUT			):
								with pytest.raises(_UpperCAmelCase			):
												requests.request("""GET"""     , """https://huggingface.co"""			)
								with pytest.raises(requests.exceptions.ConnectTimeout			):
												requests.request("""GET"""     , """https://huggingface.co"""     , timeout=1.0			)





@pytest.mark.integration
def        _lowercase   (  )  ->					Union[str, Any]:
				with offline(OfflineSimulationMode.CONNECTION_FAILS			):
								with pytest.raises(requests.exceptions.ConnectionError			):
												requests.request("""GET"""     , """https://huggingface.co"""			)





def        _lowercase   (  )  ->					int:
				with offline(OfflineSimulationMode.HF_DATASETS_OFFLINE_SET_TO_1			):
								with pytest.raises(_UpperCAmelCase			):
												http_head("""https://huggingface.co"""			)





