





import multiprocessing
import time

from arguments import PretokenizationArguments
from datasets import load_dataset

from transformers import AutoTokenizer, HfArgumentParser



def      __lowercase     (   _SCREAMING_SNAKE_CASE			)				->     int:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE	=		{}
      SCREAMING_SNAKE_CASE	=		tokenizer(example["""content"""]				,		truncation=_lowercase			)["input_ids"]
      SCREAMING_SNAKE_CASE	=		len(example["""content"""]			) / len(output["""input_ids"""]			)
      return output


SCREAMING_SNAKE_CASE_		     = HfArgumentParser(PretokenizationArguments)
SCREAMING_SNAKE_CASE_		     = parser.parse_args()
if args.num_workers is None:
      SCREAMING_SNAKE_CASE_		     = multiprocessing.cpu_count()
SCREAMING_SNAKE_CASE_		     = AutoTokenizer.from_pretrained(args.tokenizer_dir)

SCREAMING_SNAKE_CASE_		     = time.time()
SCREAMING_SNAKE_CASE_		     = load_dataset(args.dataset_name, split="""train""")
print(F'''Dataset loaded in {time.time()-t_start:.2f}s''')

SCREAMING_SNAKE_CASE_		     = time.time()
SCREAMING_SNAKE_CASE_		     = ds.map(
    tokenize,
    num_proc=args.num_workers,
    remove_columns=[
        """repo_name""",
        """path""",
        """copies""",
        """size""",
        """content""",
        """license""",
        """hash""",
        """line_mean""",
        """line_max""",
        """alpha_frac""",
        """autogenerated""",
    ],
)
print(F'''Dataset tokenized in {time.time()-t_start:.2f}s''')

SCREAMING_SNAKE_CASE_		     = time.time()
ds.push_to_hub(args.tokenized_data_repo)



print(F'''Data pushed to the hub in {time.time()-t_start:.2f}s''')










import warnings

from ...utils import logging
from .image_processing_deformable_detr import DeformableDetrImageProcessor


SCREAMING_SNAKE_CASE_		     = logging.get_logger(__name__)

class 	UpperCamelCase__				(   lowerCAmelCase_     ):



     '''simple docstring'''

     def __init__(							self		:					int		,*lowerCamelCase__		:					int		,**lowerCamelCase__		:					List[Any] )  ->	None:




           '''simple docstring'''


           warnings.warn(
               """The class DeformableDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
               """ Please use DeformableDetrImageProcessor instead."""		,lowerCamelCase__		,)
           super().__init__(*lowerCamelCase__		,**lowerCamelCase__ )


