





"""simple docstring"""
import enum
import os
from hashlib import shaaaa
from typing import Optional

from .. import config
from .logging import get_logger


lowerCamelCase_								=		get_logger(__name__)






class 					_SCREAMING_SNAKE_CASE(   enum.Enum  ):
       SCREAMING_SNAKE_CASE_   :      int							=  '''all_checks'''
       SCREAMING_SNAKE_CASE_   :      Tuple							=  '''basic_checks'''
       SCREAMING_SNAKE_CASE_   :      Union[str, Any]							=  '''no_checks'''






class 					_SCREAMING_SNAKE_CASE(   A  ):
       pass






class 					_SCREAMING_SNAKE_CASE(   A  ):
       pass






class 					_SCREAMING_SNAKE_CASE(   A  ):
       pass






class 					_SCREAMING_SNAKE_CASE(   A  ):
       pass




def      __lowerCamelCase   (							a_     :		Optional[dict] ,   a_     :		dict ,   a_     :		Optional[int]=None							)			->      int:
      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_							)							)							)
      __SCREAMING_SNAKE_CASE   :int						=  [url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
      __SCREAMING_SNAKE_CASE   :Optional[int]						=  ''' 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 					_SCREAMING_SNAKE_CASE(   A  ):
       pass






class 					_SCREAMING_SNAKE_CASE(   A  ):
       pass






class 					_SCREAMING_SNAKE_CASE(   A  ):
       pass






class 					_SCREAMING_SNAKE_CASE(   A  ):
       pass




def      __lowerCamelCase   (							a_     :		Optional[dict] ,   a_     :		dict							)			->      Tuple:
      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_							)							)							)
      __SCREAMING_SNAKE_CASE   :Any						=  [
          {'''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   (							a_     :		str ,   a_     :		bool = True							)			->      dict:
      if record_checksum:
            __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  shaaaa()
            with open(a_ ,   '''rb'''							) as f:
                  for chunk in iter(lambda: f.read(1 << 20							) ,   b''''''							):
                        m.update(a_							)
                  __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  m.hexdigest()
      else:
            __SCREAMING_SNAKE_CASE   :Any						=  None
      return {"num_bytes": os.path.getsize(a_							), "checksum": checksum}







def      __lowerCamelCase   (							a_     :		Tuple							)			->      int:
      if dataset_size and config.IN_MEMORY_MAX_SIZE:
            return dataset_size < config.IN_MEMORY_MAX_SIZE
      else:
            return False






"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase_								=		{
    "configuration_blip_2": [
        "BLIP_2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Blip2Config",
        "Blip2QFormerConfig",
        "Blip2VisionConfig",
    ],
    "processing_blip_2": ["Blip2Processor"],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowerCamelCase_								=		[
      "BLIP_2_PRETRAINED_MODEL_ARCHIVE_LIST",
      "Blip2Model",
      "Blip2QFormerModel",
      "Blip2PreTrainedModel",
      "Blip2ForConditionalGeneration",
      "Blip2VisionModel",
  ]

if TYPE_CHECKING:
  from .configuration_blip_a import (
      BLIP_2_PRETRAINED_CONFIG_ARCHIVE_MAP,
      BlipaConfig,
      BlipaQFormerConfig,
      BlipaVisionConfig,
  )
  from .processing_blip_a import BlipaProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_blip_a import (
        BLIP_2_PRETRAINED_MODEL_ARCHIVE_LIST,
        BlipaForConditionalGeneration,
        BlipaModel,
        BlipaPreTrainedModel,
        BlipaQFormerModel,
        BlipaVisionModel,
    )

else:
  import sys

  lowerCamelCase_								=		_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)