



from __future__ import annotations

from typing import Any



class 		_lowercase		:

   def __init__(   self      :							str				, __lowerCAmelCase      :							Any				, __lowerCAmelCase      :							Any				)							->					None:  # noqa: A002


    """simple docstring"""






    a							=		item
    a							=		next



class 		_lowercase		:

   def __init__(   self      :							Union[str, Any]				)							->					None:


    """simple docstring"""






    a							=		None
    a							=		0

   def 		A				(   self      :							Tuple				, __lowerCAmelCase      :							Any				)							->					None:


    """simple docstring"""






    a							=		Node(__lowerCAmelCase				, self.head				)
    self.size += 1

   def 		A				(   self      :							List[Any]				)							->					Any:


    """simple docstring"""






    if self.head is None:
     return None
    else:
     a							=		self.head.item
     a							=		self.head.next
     self.size -= 1
     return item

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


    """simple docstring"""






    return self.head is None

   def __str__(   self      :							Optional[Any]				)							->					str:


    """simple docstring"""






    if self.is_empty():
     return ""
    else:
     a							=		self.head
     a							=		""
     a							=		[]
     while iterate:
      item_list.append(str(iterate.item				)				)
      a							=		iterate.next

     a							=		" --> ".join(__lowerCAmelCase				)

     return item_str




   def __len__(   self      :							Any				)							->					int:


    """simple docstring"""






    return self.size



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,
)


lowercase__				:				Dict						=      {
    "configuration_switch_transformers": [
        "SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "SwitchTransformersConfig",
        "SwitchTransformersOnnxConfig",
    ]
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowercase__				:				List[Any]						=      [
				    "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

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




