





'''simple docstring'''




from __future__ import annotations

from collections.abc import Iterable, Iterator
from dataclasses import dataclass

lowercase__       : int         =       (3, 9, -11, 0, 7, 5, 1, -1)
lowercase__       : List[str]         =       (4, 6, 2, 0, 8, 10, 3, -2)


@dataclass
class 					SCREAMING_SNAKE_CASE       :
     lowerCAmelCase						     =			42
     lowerCAmelCase						     =			42




class 					SCREAMING_SNAKE_CASE       :


     def __init__(		self		,      _UpperCAmelCase):

          '''simple docstring'''






          __A		:					Node | None						=			None
          for i in sorted(_UpperCAmelCase		,      reverse=_UpperCAmelCase):
               __A		:					Dict						=			Node(_UpperCAmelCase		,      self.head)


     def __iter__(		self):

          '''simple docstring'''






          __A		:					Dict						=			self.head
          while node:
               yield node.data
               __A		:					Dict						=			node.next_node


     def __len__(		self):

          '''simple docstring'''






          return sum(1 for _ in self)


     def __str__(		self):

          '''simple docstring'''






          return " -> ".join([str(_UpperCAmelCase) for node in self])






def 			_lowerCAmelCase     (    __snake_case    :					SortedLinkedList					,				__snake_case    :					SortedLinkedList     )	->	SortedLinkedList:
     return SortedLinkedList(list(__snake_case     ) + list(__snake_case     )     )


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  lowercase__       : List[Any]         =       SortedLinkedList
  print(merge_lists(SSL(test_data_odd), SSL(test_data_even)))






'''simple docstring'''




import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer






def 			_lowerCAmelCase     (    __snake_case    :					str					,				__snake_case    :					str					,				**__snake_case    :					List[Any]     )	->	Any:
     __A		:					Optional[Any]						=			AutoConfig.from_pretrained(__snake_case					,				**__snake_case     )
     __A		:					int						=			AutoModelForSeqaSeqLM.from_config(__snake_case     )
     model.save_pretrained(__snake_case     )
     AutoTokenizer.from_pretrained(__snake_case     ).save_pretrained(__snake_case     )
     return model


if __name__ == "__main__":
  fire.Fire(save_randomly_initialized_version)