




'''simple docstring'''





from __future__ import annotations

class        _a    :






     def __init__(			self ,_SCREAMING_SNAKE_CASE=None   )							->      List[str]:
          _snake_case							=				data
          _snake_case							=				None






     def __repr__(			self   )							->      str:
          _snake_case							=				[]
          _snake_case							=				self
          while temp:
               string_rep.append(f"""{temp.data}"""   )
               _snake_case							=				temp.next
          return "->".join(_SCREAMING_SNAKE_CASE   )







def      __a     (       _UpperCamelCase:   list   )						->			Tuple:

     """simple docstring"""




     if not elements_list:
          raise Exception("The Elements List is empty"   )

     _snake_case							=				_snake_case							=				Node(elements_list[0]   )
     for i in range(1 ,						len(_UpperCamelCase   )   ):
          _snake_case							=				Node(elements_list[i]   )
          _snake_case							=				current.next
     return head





def      __a     (       _UpperCamelCase:   Node   )						->			None:

     """simple docstring"""




     if head_node is not None and isinstance(_UpperCamelCase ,						_UpperCamelCase   ):
          print_reverse(head_node.next   )
          print(head_node.data   )





def      __a     (       )						->			int:

     """simple docstring"""




     from doctest import testmod

     testmod()

     _snake_case							=				make_linked_list([14, 52, 14, 12, 43]   )
     print("Linked List:"   )
     print(_UpperCamelCase   )
     print("Elements in Reverse:"   )
     print_reverse(_UpperCamelCase   )


if __name__ == "__main__":
   main()






'''simple docstring'''





from typing import TYPE_CHECKING

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


UpperCamelCase_						:      Union[str, Any]       =						{'''configuration_plbart''': ['''PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''PLBartConfig''']}

try:
   if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCamelCase_						:      Optional[int]       =						['''PLBartTokenizer''']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCamelCase_						:      int       =						[
       '''PLBART_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''PLBartForCausalLM''',
       '''PLBartForConditionalGeneration''',
       '''PLBartForSequenceClassification''',
       '''PLBartModel''',
       '''PLBartPreTrainedModel''',
   ]


if TYPE_CHECKING:
   from .configuration_plbart import PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP, PLBartConfig

   try:
      if not is_sentencepiece_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_plbart import PLBartTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_plbart import (
          PLBART_PRETRAINED_MODEL_ARCHIVE_LIST,
          PLBartForCausalLM,
          PLBartForConditionalGeneration,
          PLBartForSequenceClassification,
          PLBartModel,
          PLBartPreTrainedModel,
      )


else:
   import sys

   UpperCamelCase_						:      str       =						_LazyModule(__name__, globals()['''__file__'''], _import_structure)


