


'''simple docstring'''







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

from .. import config
from .logging import get_logger


lowerCAmelCase     :  Any											=    get_logger(__name__)
class 						UpperCamelCase__       (			enum.Enum						):



     """simple docstring"""






     __magic_name__           =     "all_checks"
     __magic_name__           =     "basic_checks"
     __magic_name__           =     "no_checks"
class 						UpperCamelCase__       (			_a						):



     """simple docstring"""






     pass
class 						UpperCamelCase__       (			_a						):



     """simple docstring"""






     pass
class 						UpperCamelCase__       (			_a						):



     """simple docstring"""






     pass
class 						UpperCamelCase__       (			_a						):



     """simple docstring"""






     pass






def       lowercase					(_A ,    _A ,    _A=None       ):







       """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       )       )       )
       _lowerCAmelCase     :				Union[str, Any]       =							[url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
       _lowerCAmelCase     :				Dict       =							' 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 						UpperCamelCase__       (			_a						):



     """simple docstring"""






     pass
class 						UpperCamelCase__       (			_a						):



     """simple docstring"""






     pass
class 						UpperCamelCase__       (			_a						):



     """simple docstring"""






     pass
class 						UpperCamelCase__       (			_a						):



     """simple docstring"""






     pass






def       lowercase					(_A ,    _A       ):







       """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       )       )       )
       _lowerCAmelCase     :				Union[str, 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(__lowerCAmelCase       ) > 0:
              raise NonMatchingSplitsSizesError(str(__lowerCAmelCase       )       )
       logger.info('All the splits matched successfully.'       )






def       lowercase					(_A ,    _A = True       ):







       """simple docstring"""







       if record_checksum:
              _lowerCAmelCase     :				Any       =							shaaaa()
              with open(__lowerCAmelCase ,    'rb'       ) as f:
                     for chunk in iter(lambda: f.read(1 << 2_0       ) ,    B''       ):
                            m.update(__lowerCAmelCase       )
                     _lowerCAmelCase     :				Tuple       =							m.hexdigest()
       else:
              _lowerCAmelCase     :				List[str]       =							None
       return {"num_bytes": os.path.getsize(__lowerCAmelCase       ), "checksum": checksum}






def       lowercase					(_A       ):







       """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

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__magic_name__  :  Optional[Any]					=       {
    """configuration_informer""": [
        """INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """InformerConfig""",
    ],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __magic_name__  :  int					=       [
          """INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """InformerForPrediction""",
          """InformerModel""",
          """InformerPreTrainedModel""",
      ]


if TYPE_CHECKING:
      from .configuration_informer import INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, InformerConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_informer import (
                INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                InformerForPrediction,
                InformerModel,
                InformerPreTrainedModel,
            )

else:
      import sys

      __magic_name__  :  Any					=       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

