


"""simple docstring"""

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     ):
      a			:  List[Any]           =		'all_checks'
      a			:  List[str]           =		'basic_checks'
      a			:  List[str]           =		'no_checks'






class  lowerCamelCase__    (		_a     ):
      pass






class  lowerCamelCase__    (		_a     ):
      pass






class  lowerCamelCase__    (		_a     ):
      pass






class  lowerCamelCase__    (		_a     ):
      pass






def lowerCAmelCase_   (					UpperCamelCase__						:			Optional[dict]					, UpperCamelCase__						:			dict					, UpperCamelCase__						:			Any=None			):






 """simple docstring"""







 if expected_checksums is None:
  logger.info("""Unable to verify checksums."""			)
  return
 if len(set(a__			) - set(a__			)			) > 0:
  raise ExpectedMoreDownloadedFiles(str(set(a__			) - set(a__			)			)			)
 if len(set(a__			) - set(a__			)			) > 0:
  raise UnexpectedDownloadedFile(str(set(a__			) - set(a__			)			)			)
 __lowercase						=						[url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
 __lowercase						=						""" for """ + verification_name if verification_name is not None else """"""
 if len(a__			) > 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 lowerCAmelCase_   (					UpperCamelCase__						:			Optional[dict]					, UpperCamelCase__						:			dict			):






 """simple docstring"""







 if expected_splits is None:
  logger.info("""Unable to verify splits sizes."""			)
  return
 if len(set(a__			) - set(a__			)			) > 0:
  raise ExpectedMoreSplits(str(set(a__			) - set(a__			)			)			)
 if len(set(a__			) - set(a__			)			) > 0:
  raise UnexpectedSplits(str(set(a__			) - set(a__			)			)			)
 __lowercase						=						[
     {"""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(a__			) > 0:
  raise NonMatchingSplitsSizesError(str(a__			)			)
 logger.info("""All the splits matched successfully."""			)


def lowerCAmelCase_   (					UpperCamelCase__						:			str					, UpperCamelCase__						:			bool = True			):






 """simple docstring"""







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


def lowerCAmelCase_   (					UpperCamelCase__						:			str			):






 """simple docstring"""







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




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


lowerCAmelCase__    :Tuple       =				{'''configuration_deit''': ['''DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DeiTConfig''', '''DeiTOnnxConfig''']}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCAmelCase__    :List[Any]       =				['''DeiTFeatureExtractor''']
		lowerCAmelCase__    :Union[str, Any]       =				['''DeiTImageProcessor''']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCAmelCase__    :Tuple       =				[
		    '''DEIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''DeiTForImageClassification''',
		    '''DeiTForImageClassificationWithTeacher''',
		    '''DeiTForMaskedImageModeling''',
		    '''DeiTModel''',
		    '''DeiTPreTrainedModel''',
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCAmelCase__    :Union[str, Any]       =				[
		    '''TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''TFDeiTForImageClassification''',
		    '''TFDeiTForImageClassificationWithTeacher''',
		    '''TFDeiTForMaskedImageModeling''',
		    '''TFDeiTModel''',
		    '''TFDeiTPreTrainedModel''',
		]


if TYPE_CHECKING:
		from .configuration_deit import DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, DeiTConfig, DeiTOnnxConfig

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_deit import DeiTFeatureExtractor
				from .image_processing_deit import DeiTImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_deit import (
				    DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    DeiTForImageClassification,
				    DeiTForImageClassificationWithTeacher,
				    DeiTForMaskedImageModeling,
				    DeiTModel,
				    DeiTPreTrainedModel,
				)

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_deit import (
				    TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    TFDeiTForImageClassification,
				    TFDeiTForImageClassificationWithTeacher,
				    TFDeiTForMaskedImageModeling,
				    TFDeiTModel,
				    TFDeiTPreTrainedModel,
				)


else:
		import sys

		lowerCAmelCase__    :List[str]       =				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
