import enum
import os
from hashlib import shaaaa
from typing import Optional

from .. import config
from .logging import get_logger


UpperCAmelCase_								=							get_logger(__name__)





class      lowerCAmelCase						(					enum.Enum			):
     _SCREAMING_SNAKE_CASE     :     Optional[int]		="""all_checks"""
     _SCREAMING_SNAKE_CASE     :     int		="""basic_checks"""
     _SCREAMING_SNAKE_CASE     :     int		="""no_checks"""





class      lowerCAmelCase						(					_a			):
     pass





class      lowerCAmelCase						(					_a			):
     pass





class      lowerCAmelCase						(					_a			):
     pass





class      lowerCAmelCase						(					_a			):
     pass


def 							UpperCamelCase				(    lowerCAmelCase_       ,					lowerCAmelCase_       ,					lowerCAmelCase_=None   )		->						Optional[Any]:




       '''simple docstring'''






       if expected_checksums is None:
              logger.info('Unable to verify checksums.'   )
              return
       if len(set(lowerCAmelCase_   ) - set(lowerCAmelCase_   )   ) > 0:
              raise ExpectedMoreDownloadedFiles(str(set(lowerCAmelCase_   ) - set(lowerCAmelCase_   )   )   )
       if len(set(lowerCAmelCase_   ) - set(lowerCAmelCase_   )   ) > 0:
              raise UnexpectedDownloadedFile(str(set(lowerCAmelCase_   ) - set(lowerCAmelCase_   )   )   )
       _A=	[url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
       _A=	' for ' + verification_name if verification_name is not None else ''
       if len(lowerCAmelCase_   ) > 0:
              raise NonMatchingChecksumError(
                  F"Checksums didn't match{for_verification_name}:\n"
                  F"{bad_urls}\n"
                  'Set `verification_mode=\'no_checks\'` to skip checksums verification and ignore this error'   )
       logger.info('All the checksums matched successfully' + for_verification_name   )





class      lowerCAmelCase						(					_a			):
     pass





class      lowerCAmelCase						(					_a			):
     pass





class      lowerCAmelCase						(					_a			):
     pass





class      lowerCAmelCase						(					_a			):
     pass


def 							UpperCamelCase				(    lowerCAmelCase_       ,					lowerCAmelCase_   )		->						Tuple:




       '''simple docstring'''






       if expected_splits is None:
              logger.info('Unable to verify splits sizes.'   )
              return
       if len(set(lowerCAmelCase_   ) - set(lowerCAmelCase_   )   ) > 0:
              raise ExpectedMoreSplits(str(set(lowerCAmelCase_   ) - set(lowerCAmelCase_   )   )   )
       if len(set(lowerCAmelCase_   ) - set(lowerCAmelCase_   )   ) > 0:
              raise UnexpectedSplits(str(set(lowerCAmelCase_   ) - set(lowerCAmelCase_   )   )   )
       _A=	[
           {'expected': expected_splits[name], 'recorded': recorded_splits[name]}
           for name in expected_splits
           if expected_splits[name].num_examples != recorded_splits[name].num_examples
       ]
       if len(lowerCAmelCase_   ) > 0:
              raise NonMatchingSplitsSizesError(str(lowerCAmelCase_   )   )
       logger.info('All the splits matched successfully.'   )

def 							UpperCamelCase				(    lowerCAmelCase_       ,					lowerCAmelCase_ = True   )		->						dict:




       '''simple docstring'''






       if record_checksum:
              _A=	shaaaa()
              with open(lowerCAmelCase_       ,					'rb'   ) as f:
                     for chunk in iter(lambda: f.read(1 << 20   )       ,					b''   ):
                            m.update(lowerCAmelCase_   )
                     _A=	m.hexdigest()
       else:
              _A=	None
       return {"num_bytes": os.path.getsize(lowerCAmelCase_   ), "checksum": checksum}





def 							UpperCamelCase				(    lowerCAmelCase_   )		->						str:




       '''simple docstring'''






       if dataset_size and config.IN_MEMORY_MAX_SIZE:
              return dataset_size < config.IN_MEMORY_MAX_SIZE
       else:
              return False






import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


UpperCAmelCase_								=							logging.get_logger(__name__)





class      lowerCAmelCase						(					_a			):



     def __init__(					self				,      *lowerCAmelCase__				,      **lowerCAmelCase__       ):
            warnings.warn(
                'The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
                ' Please use PerceiverImageProcessor instead.'				,      lowerCAmelCase__				,      )
            super().__init__(*lowerCAmelCase__				,      **lowerCAmelCase__       )