import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union


__lowerCamelCase					:	Tuple       =  re.compile(R'''^(?P<major>\d+)''' R'''\.(?P<minor>\d+)''' R'''\.(?P<patch>\d+)$''')






@total_ordering
@dataclass
class 		a__						:
					A	       =							42
					A	       =							None
					A	       =							None
					A	       =							None
					A	       =							None

					def 				__UpperCamelCase   (    self      :       Optional[int]    ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		Any				      =    _str_to_version_tuple(self.version_str    )

					def __repr__(    self      :       List[Any]    ):







							"""simple docstring"""






							return F'{self.tuple[0]}.{self.tuple[1]}.{self.tuple[2]}'

					@property
					def 				__UpperCamelCase   (    self      :       Optional[int]    ):







							"""simple docstring"""






							return self.major, self.minor, self.patch

					def 				__UpperCamelCase   (    self      :       Union[str, Any],_A      :       List[str]    ):







							"""simple docstring"""






							if isinstance(_A,_A    ):
									return Version(_A    )
							elif isinstance(_A,_A    ):
									return other
							raise TypeError(F'{other} (type {type(_A    )}) cannot be compared to version.'    )

					def __eq__(    self      :       Dict,_A      :       str    ):







							"""simple docstring"""






							try:
									SCREAMING_SNAKE_CASE_  :		Any				      =    self._validate_operand(_A    )
							except (TypeError, ValueError):
									return False
							else:
									return self.tuple == other.tuple

					def __lt__(    self      :       Any,_A      :       Union[str, Any]    ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		str				      =    self._validate_operand(_A    )
							return self.tuple < other.tuple

					def __hash__(    self      :       Optional[int]    ):







							"""simple docstring"""






							return hash(_version_tuple_to_str(self.tuple    )    )

					@classmethod
					def 				__UpperCamelCase   (    cls      :       Tuple,_A      :       Optional[Any]    ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		Optional[int]				      =    {f.name for f in dataclasses.fields(cls    )}
							return cls(**{k: v for k, v in dic.items() if k in field_names}    )






					def 				__UpperCamelCase   (    self      :       int    ):







							"""simple docstring"""






							return self.version_str







def       _snake_case	(   lowerCAmelCase							:   str	):
		"""simple docstring"""







		SCREAMING_SNAKE_CASE_  :		Union[str, Any]				      =    _VERSION_REG.match(__lowerCamelCase	)
		if not res:
				raise ValueError(f'Invalid version \'{version_str}\'. Format should be x.y.z with {{x,y,z}} being digits.'	)
		return tuple(int(__lowerCamelCase	) for v in [res.group("major"	), res.group("minor"	), res.group("patch"	)]	)







def       _snake_case	(   lowerCAmelCase							:   str	):
		"""simple docstring"""







		return ".".join(str(__lowerCamelCase	) for v in version_tuple	)







'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase					:     int												={
    '''configuration_bigbird_pegasus''': [
        '''BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''BigBirdPegasusConfig''',
        '''BigBirdPegasusOnnxConfig''',
    ],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCAmelCase					:     Any												=[
     '''BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''BigBirdPegasusForCausalLM''',
     '''BigBirdPegasusForConditionalGeneration''',
     '''BigBirdPegasusForQuestionAnswering''',
     '''BigBirdPegasusForSequenceClassification''',
     '''BigBirdPegasusModel''',
     '''BigBirdPegasusPreTrainedModel''',
 ]


if TYPE_CHECKING:
 from .configuration_bigbird_pegasus import (
     BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP,
     BigBirdPegasusConfig,
     BigBirdPegasusOnnxConfig,
 )

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_bigbird_pegasus import (
      BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
      BigBirdPegasusForCausalLM,
      BigBirdPegasusForConditionalGeneration,
      BigBirdPegasusForQuestionAnswering,
      BigBirdPegasusForSequenceClassification,
      BigBirdPegasusModel,
      BigBirdPegasusPreTrainedModel,
  )


else:
 import sys

 lowerCAmelCase					:     Dict												=_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


