

from __future__ import annotations

from collections.abc import Iterator
from typing import Any


class     lowerCAmelCase				:


       '''simple docstring'''







       def __init__(	self					:  Optional[int]						,	__snake_case					:  Any     )   -> None:







        '''simple docstring'''

        lowerCamelCase      						=    data
        lowerCamelCase      						=    None





       def __str__(	self					:  Any     )   -> str:







        '''simple docstring'''

        return F'''{self.data}'''


class     lowerCAmelCase				:


       '''simple docstring'''







       def __init__(	self					:  str     )   -> None:







        '''simple docstring'''

        lowerCamelCase      						=    None
        lowerCamelCase      						=    None

       def __iter__(	self					:  Union[str, Any]     )   -> Iterator[Any]:







        '''simple docstring'''

        lowerCamelCase      						=    self.front
        while node:
         yield node.data
         lowerCamelCase      						=    node.next

       def __len__(	self					:  str     )   -> int:







        '''simple docstring'''

        return len(tuple(iter(self     )     )     )

       def __str__(	self					:  int     )   -> str:







        '''simple docstring'''

        return " <- ".join(str(__snake_case     ) for item in self     )

       def   lowerCamelCase__						(	self					:  Union[str, Any]     )   -> bool:







        '''simple docstring'''

        return len(self     ) == 0

       def   lowerCamelCase__						(	self					:  str						,	__snake_case					:  Any     )   -> None:







        '''simple docstring'''

        lowerCamelCase      						=    Node(__snake_case     )
        if self.is_empty():
         lowerCamelCase      						=    lowerCamelCase      						=    node
        else:
         assert isinstance(self.rear						,	__snake_case     )
         lowerCamelCase      						=    node
         lowerCamelCase      						=    node

       def   lowerCamelCase__						(	self					:  Optional[int]     )   -> Any:







        '''simple docstring'''

        if self.is_empty():
         raise IndexError('dequeue from empty queue'     )
        assert isinstance(self.front						,	__snake_case     )
        lowerCamelCase      						=    self.front
        lowerCamelCase      						=    self.front.next
        if self.front is None:
         lowerCamelCase      						=    None
        return node.data





       def   lowerCamelCase__						(	self					:  Dict     )   -> None:







        '''simple docstring'''

        lowerCamelCase      						=    lowerCamelCase      						=    None


if __name__ == "__main__":
     from doctest import testmod

     testmod()







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


_lowerCAmelCase :	List[Any]     				=    {
    'configuration_switch_transformers': [
        'SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'SwitchTransformersConfig',
        'SwitchTransformersOnnxConfig',
    ]
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _lowerCAmelCase :	Tuple     				=    [
         'SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST',
         'SwitchTransformersEncoderModel',
         'SwitchTransformersForConditionalGeneration',
         'SwitchTransformersModel',
         'SwitchTransformersPreTrainedModel',
         'SwitchTransformersTop1Router',
         'SwitchTransformersSparseMLP',
     ]


if TYPE_CHECKING:
     from .configuration_switch_transformers import (
         SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP,
         SwitchTransformersConfig,
         SwitchTransformersOnnxConfig,
     )

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_switch_transformers import (
              SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST,
              SwitchTransformersEncoderModel,
              SwitchTransformersForConditionalGeneration,
              SwitchTransformersModel,
              SwitchTransformersPreTrainedModel,
              SwitchTransformersSparseMLP,
              SwitchTransformersTopaRouter,
          )


else:
     import sys

     _lowerCAmelCase :	List[Any]     				=    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




