





import warnings

from ...utils import logging
from .image_processing_imagegpt import ImageGPTImageProcessor


lowercase				:	Any      						=  logging.get_logger(__name__)





class 			A__   (							__UpperCAmelCase     ):




   """simple docstring"""



   def __init__( self ,  *lowercase ,  **lowercase)      ->						None:







          '''simple docstring'''

          warnings.warn(
              'The class ImageGPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
              ' Please use ImageGPTImageProcessor instead.' ,  lowercase ,  )
          super().__init__(*lowercase ,  **lowercase)









import re

from filelock import FileLock


try:
    import nltk

    lowercase				:	List[str]      						=  True
except (ImportError, ModuleNotFoundError):
    lowercase				:	Tuple      						=  False

if NLTK_AVAILABLE:
    with FileLock(""".lock""") as lock:
        nltk.download("""punkt""", quiet=True)



def A_     (		A__    )  ->		str:
       re.sub('<n>'		,				''		,				A__    )  # remove pegasus newline char
       assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
       return "\n".join(nltk.sent_tokenize(A__    )    )


