

"""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      __lowercase			(    enum.Enum					):
  snake_case_				       =       """all_checks"""
  snake_case_				       =       """basic_checks"""
  snake_case_				       =       """no_checks"""







class      __lowercase			(    __lowerCamelCase					):
  pass







class      __lowercase			(    __lowerCamelCase					):
  pass







class      __lowercase			(    __lowerCamelCase					):
  pass







class      __lowercase			(    __lowerCamelCase					):
  pass







def   lowerCAmelCase						(					__UpperCamelCase							,    __UpperCamelCase							,    __UpperCamelCase=None      ):
 '''simple docstring'''





 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__					:  Tuple					   =					[url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
 UpperCAmelCase__					:  Dict					   =					""" 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      __lowercase			(    __lowerCamelCase					):
  pass







class      __lowercase			(    __lowerCamelCase					):
  pass







class      __lowercase			(    __lowerCamelCase					):
  pass







class      __lowercase			(    __lowerCamelCase					):
  pass







def   lowerCAmelCase						(					__UpperCamelCase							,    __UpperCamelCase      ):
 '''simple docstring'''





 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__					:  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(__UpperCamelCase      ) > 0:
  raise NonMatchingSplitsSizesError(str(__UpperCamelCase      )      )
 logger.info("""All the splits matched successfully."""      )
def   lowerCAmelCase						(					__UpperCamelCase							,    __UpperCamelCase = True      ):
 '''simple docstring'''





 if record_checksum:
  UpperCAmelCase__					:  Optional[Any]					   =					shaaaa()
  with open(__UpperCamelCase							,    """rb"""      ) as f:
   for chunk in iter(lambda: f.read(1 << 20      )							,    B""""""      ):
    m.update(__UpperCamelCase      )
   UpperCAmelCase__					:  Optional[int]					   =					m.hexdigest()
 else:
  UpperCAmelCase__					:  Dict					   =					None
 return {"num_bytes": os.path.getsize(__UpperCamelCase      ), "checksum": checksum}




def   lowerCAmelCase						(					__UpperCamelCase      ):
 '''simple docstring'''





 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


__UpperCAmelCase =				{
    'configuration_table_transformer': [
        'TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'TableTransformerConfig',
        'TableTransformerOnnxConfig',
    ]
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __UpperCAmelCase =				[
          'TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
          'TableTransformerForObjectDetection',
          'TableTransformerModel',
          'TableTransformerPreTrainedModel',
      ]


if TYPE_CHECKING:
      from .configuration_table_transformer import (
          TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
          TableTransformerConfig,
          TableTransformerOnnxConfig,
      )

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_table_transformer import (
                TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                TableTransformerForObjectDetection,
                TableTransformerModel,
                TableTransformerPreTrainedModel,
            )

else:
      import sys

      __UpperCAmelCase =				_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





