
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 				_lowerCamelCase (      enum.Enum ):





     """simple docstring"""







     SCREAMING_SNAKE_CASE_		   =  """all_checks"""
     SCREAMING_SNAKE_CASE_		   =  """basic_checks"""
     SCREAMING_SNAKE_CASE_		   =  """no_checks"""




class 				_lowerCamelCase (      UpperCamelCase_ ):





     """simple docstring"""











class 				_lowerCamelCase (      UpperCamelCase_ ):





     """simple docstring"""











class 				_lowerCamelCase (      UpperCamelCase_ ):





     """simple docstring"""











class 				_lowerCamelCase (      UpperCamelCase_ ):





     """simple docstring"""









def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__ ,		UpperCamelCase__ ,		UpperCamelCase__=None		):






      if expected_checksums is None:
            logger.info('''Unable to verify checksums.'''		)
            return
      if len(set(_UpperCamelCase		) - set(_UpperCamelCase		)		) > 0:
            raise ExpectedMoreDownloadedFiles(str(set(_UpperCamelCase		) - set(_UpperCamelCase		)		)		)
      if len(set(_UpperCamelCase		) - set(_UpperCamelCase		)		) > 0:
            raise UnexpectedDownloadedFile(str(set(_UpperCamelCase		) - set(_UpperCamelCase		)		)		)
      UpperCamelCase__    :   int					=				[url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
      UpperCamelCase__    :   List[str]					=				''' for ''' + verification_name if verification_name is not None else ''''''
      if len(_UpperCamelCase		) > 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 (      UpperCamelCase_ ):





     """simple docstring"""











class 				_lowerCamelCase (      UpperCamelCase_ ):





     """simple docstring"""











class 				_lowerCamelCase (      UpperCamelCase_ ):





     """simple docstring"""











class 				_lowerCamelCase (      UpperCamelCase_ ):





     """simple docstring"""









def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__ ,		UpperCamelCase__		):






      if expected_splits is None:
            logger.info('''Unable to verify splits sizes.'''		)
            return
      if len(set(_UpperCamelCase		) - set(_UpperCamelCase		)		) > 0:
            raise ExpectedMoreSplits(str(set(_UpperCamelCase		) - set(_UpperCamelCase		)		)		)
      if len(set(_UpperCamelCase		) - set(_UpperCamelCase		)		) > 0:
            raise UnexpectedSplits(str(set(_UpperCamelCase		) - set(_UpperCamelCase		)		)		)
      UpperCamelCase__    :   Optional[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(_UpperCamelCase		) > 0:
            raise NonMatchingSplitsSizesError(str(_UpperCamelCase		)		)
      logger.info('''All the splits matched successfully.'''		)


def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__ ,		UpperCamelCase__ = True		):






      if record_checksum:
            UpperCamelCase__    :   Union[str, Any]					=				shaaaa()
            with open(_UpperCamelCase ,		'''rb'''		) as f:
                  for chunk in iter(lambda: f.read(1 << 2_0		) ,		b''''''		):
                        m.update(_UpperCamelCase		)
                  UpperCamelCase__    :   Dict					=				m.hexdigest()
      else:
            UpperCamelCase__    :   int					=				None
      return {"num_bytes": os.path.getsize(_UpperCamelCase		), "checksum": checksum}


def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__		):






      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_torch_available


lowerCamelCase      ={
    "configuration_clipseg": [
        "CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "CLIPSegConfig",
        "CLIPSegTextConfig",
        "CLIPSegVisionConfig",
    ],
    "processing_clipseg": ["CLIPSegProcessor"],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase      =[
        "CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST",
        "CLIPSegModel",
        "CLIPSegPreTrainedModel",
        "CLIPSegTextModel",
        "CLIPSegVisionModel",
        "CLIPSegForImageSegmentation",
    ]

if TYPE_CHECKING:
    from .configuration_clipseg import (
        CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP,
        CLIPSegConfig,
        CLIPSegTextConfig,
        CLIPSegVisionConfig,
    )
    from .processing_clipseg import CLIPSegProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_clipseg import (
            CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST,
            CLIPSegForImageSegmentation,
            CLIPSegModel,
            CLIPSegPreTrainedModel,
            CLIPSegTextModel,
            CLIPSegVisionModel,
        )

else:
    import sys

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


