

'''simple docstring'''

# Lint as: python3
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union


lowercase__			    =			re.compile(r"^(?P<major>\d+)" r"\.(?P<minor>\d+)" r"\.(?P<patch>\d+)$")




@total_ordering
@dataclass
class        A_ :






     '''simple docstring'''



     UpperCAmelCase_						:	str
     UpperCAmelCase_						:	Optional[str]  		=  None
     UpperCAmelCase_						:	Optional[Union[str, int]]  		=  None
     UpperCAmelCase_						:	Optional[Union[str, int]]  		=  None
     UpperCAmelCase_						:	Optional[Union[str, int]]  		=  None


     def    UpperCAmelCase_       (		self :     Any       )						->	Dict:
      UpperCAmelCase					, UpperCAmelCase					, UpperCAmelCase       :	int											= _str_to_version_tuple(self.version_str       )


     def __repr__(		self :     Any       )						->	List[Any]:
      return f"""{self.tuple[0]}.{self.tuple[1]}.{self.tuple[2]}"""


     @property
     def    UpperCAmelCase_       (		self :     Any       )						->	List[str]:
      return self.major, self.minor, self.patch


     def    UpperCAmelCase_       (		self :     List[Any]     ,			lowercase_ :     Union[str, Any]       )						->	Optional[Any]:
      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 :     int     ,			lowercase_ :     Optional[int]       )						->	Union[str, Any]:
      try:
       UpperCAmelCase       :	str											= self._validate_operand(A_       )
      except (TypeError, ValueError):
       return False
      else:
       return self.tuple == other.tuple


     def __lt__(		self :     Dict     ,			lowercase_ :     Tuple       )						->	Optional[int]:
      UpperCAmelCase       :	List[Any]											= self._validate_operand(A_       )
      return self.tuple < other.tuple


     def __hash__(		self :     List[Any]       )						->	Optional[Any]:
      return hash(_version_tuple_to_str(self.tuple       )       )


     @classmethod
     def    UpperCAmelCase_       (		cls :     Optional[Any]     ,			lowercase_ :     Any       )						->	Tuple:
      UpperCAmelCase       :	Dict											= {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 :     List[Any]       )						->	str:
      return self.version_str




def       UpperCamelCase(     UpperCAmelCase_	):
 UpperCAmelCase       :	str											= _VERSION_REG.match(SCREAMING_SNAKE_CASE__	)
 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(SCREAMING_SNAKE_CASE__	) for v in [res.group('major'	), res.group('minor'	), res.group('patch'	)]	)




def       UpperCamelCase(     UpperCAmelCase_	):
 return ".".join(str(SCREAMING_SNAKE_CASE__	) for v in version_tuple	)








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_A		       =						{
    'configuration_jukebox': [
        'JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'JukeboxConfig',
        'JukeboxPriorConfig',
        'JukeboxVQVAEConfig',
    ],
    'tokenization_jukebox': ['JukeboxTokenizer'],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _A		       =						[
       'JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST',
       'JukeboxModel',
       'JukeboxPreTrainedModel',
       'JukeboxVQVAE',
       'JukeboxPrior',
   ]

if TYPE_CHECKING:
   from .configuration_jukebox import (
       JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP,
       JukeboxConfig,
       JukeboxPriorConfig,
       JukeboxVQVAEConfig,
   )
   from .tokenization_jukebox import JukeboxTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_jukebox import (
          JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST,
          JukeboxModel,
          JukeboxPreTrainedModel,
          JukeboxPrior,
          JukeboxVQVAE,
      )

else:
   import sys

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





