



'''simple docstring'''


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

from .. import config
from .logging import get_logger


_lowerCamelCase	:       Dict      	=	get_logger(__name__)

class  SCREAMING_SNAKE_CASE (  enum.Enum		):






    """simple docstring"""





    _SCREAMING_SNAKE_CASE	  =  """all_checks"""
    _SCREAMING_SNAKE_CASE	  =  """basic_checks"""
    _SCREAMING_SNAKE_CASE	  =  """no_checks"""

class  SCREAMING_SNAKE_CASE (  _a		):






    """simple docstring"""






class  SCREAMING_SNAKE_CASE (  _a		):






    """simple docstring"""






class  SCREAMING_SNAKE_CASE (  _a		):






    """simple docstring"""






class  SCREAMING_SNAKE_CASE (  _a		):






    """simple docstring"""












def 				__lowerCamelCase				(   A__    ,						A__    ,						A__=None    )       ->	List[Any]:






   """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__    )    )    )
   UpperCamelCase					=  [url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
   UpperCamelCase					=  ' 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		):






    """simple docstring"""






class  SCREAMING_SNAKE_CASE (  _a		):






    """simple docstring"""






class  SCREAMING_SNAKE_CASE (  _a		):






    """simple docstring"""






class  SCREAMING_SNAKE_CASE (  _a		):






    """simple docstring"""












def 				__lowerCamelCase				(   A__    ,						A__    )       ->	Tuple:






   """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__    )    )    )
   UpperCamelCase					=  [
       {'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__    ,						A__ = True    )       ->	dict:






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







def 				__lowerCamelCase				(   A__    )       ->	Optional[int]:






   """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_tokenizers_available, is_torch_available


_lowerCamelCase	:       List[Any]      	=	{
    "configuration_m2m_100": ["M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP", "M2M100Config", "M2M100OnnxConfig"],
    "tokenization_m2m_100": ["M2M100Tokenizer"],
}


try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _lowerCamelCase	:       int      	=	[
       "M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST",
       "M2M100ForConditionalGeneration",
       "M2M100Model",
       "M2M100PreTrainedModel",
   ]


if TYPE_CHECKING:
   from .configuration_mam_aaa import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, MaMaaaConfig, MaMaaaOnnxConfig
   from .tokenization_mam_aaa import MaMaaaTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_mam_aaa import (
          M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
          MaMaaaForConditionalGeneration,
          MaMaaaModel,
          MaMaaaPreTrainedModel,
      )


else:
   import sys

   _lowerCamelCase	:       Optional[int]      	=	_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

