






"""simple docstring"""
from __future__ import annotations

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

lowerCamelCase_       			=   (3, 9, -11, 0, 7, 5, 1, -1)
lowerCamelCase_       			=   (4, 6, 2, 0, 8, 10, 3, -2)







@dataclass
class     UpperCamelCase_ :
	__magic_name__			   =       42
	__magic_name__			   =       42







class     UpperCamelCase_ :





	def __init__(   self      :				List[str]			,			lowerCAmelCase_      :				Iterable[int]		)		->    None:
				UpperCAmelCase_  :				Node | None      =      None
				for i in sorted(lowerCAmelCase_			,			reverse=lowerCAmelCase_		):
							UpperCAmelCase_  :				Dict      =      Node(lowerCAmelCase_			,			self.head		)





	def __iter__(   self      :				Tuple		)		->    Iterator[int]:
				UpperCAmelCase_  :				str      =      self.head
				while node:
							yield node.data
							UpperCAmelCase_  :				int      =      node.next_node





	def __len__(   self      :				Union[str, Any]		)		->    int:
				return sum(1 for _ in self		)





	def __str__(   self      :				Dict		)		->    str:
				return " -> ".join([str(lowerCAmelCase_		) for node in self]		)





def        snake_case   (     A__			,A__		):
			return SortedLinkedList(list(A__		) + list(A__		)		)


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			lowerCamelCase_       			=   SortedLinkedList
			print(merge_lists(SSL(test_data_odd), SSL(test_data_even)))











"""simple docstring"""
import json
import os
import tempfile

from transformers.testing_utils import check_json_file_has_correct_format







class     UpperCamelCase_ :
	__magic_name__			   =       None





	def   _SCREAMING_SNAKE_CASE   (   self      :				Any		)		->    List[Any]:
				UpperCAmelCase_  :				Tuple      =      self.feature_extraction_class(**self.feat_extract_dict		)
				UpperCAmelCase_  :				Union[str, Any]      =      json.loads(feat_extract.to_json_string()		)
				for key, value in self.feat_extract_dict.items():
							self.assertEqual(obj[key]			,			lowerCAmelCase_		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				str		)		->    int:
				UpperCAmelCase_  :				Dict      =      self.feature_extraction_class(**self.feat_extract_dict		)

				with tempfile.TemporaryDirectory() as tmpdirname:
							UpperCAmelCase_  :				List[Any]      =      os.path.join(lowerCAmelCase_			,			"feat_extract.json"		)
							feat_extract_first.to_json_file(lowerCAmelCase_		)
							UpperCAmelCase_  :				Any      =      self.feature_extraction_class.from_json_file(lowerCAmelCase_		)

				self.assertEqual(feat_extract_second.to_dict()			,			feat_extract_first.to_dict()		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				int		)		->    Dict:
				UpperCAmelCase_  :				Optional[Any]      =      self.feature_extraction_class(**self.feat_extract_dict		)

				with tempfile.TemporaryDirectory() as tmpdirname:
							UpperCAmelCase_  :				Optional[Any]      =      feat_extract_first.save_pretrained(lowerCAmelCase_		)[0]
							check_json_file_has_correct_format(lowerCAmelCase_		)
							UpperCAmelCase_  :				Any      =      self.feature_extraction_class.from_pretrained(lowerCAmelCase_		)

				self.assertEqual(feat_extract_second.to_dict()			,			feat_extract_first.to_dict()		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				Any		)		->    Optional[Any]:
				UpperCAmelCase_  :				Optional[int]      =      self.feature_extraction_class()
				self.assertIsNotNone(lowerCAmelCase_		)



