





from __future__ import annotations

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

UpperCAmelCase     :     Union[str, Any]							=	(3, 9, -11, 0, 7, 5, 1, -1)
UpperCAmelCase     :     Any							=	(4, 6, 2, 0, 8, 10, 3, -2)







@dataclass
class     __lowerCAmelCase	:






      """simple docstring"""




      _lowercase    : List[str]            =      42
      _lowercase    : Any            =      42







class     __lowerCAmelCase	:






      """simple docstring"""




      def __init__(   self		,				lowerCAmelCase__							)       ->						Optional[Any]:



        '''simple docstring'''




        a__     : str  =None
        for i in sorted(lowerCamelCase_		,				reverse=lowerCamelCase_							):
          a__     : Optional[int]  =Node(lowerCamelCase_		,				self.head							)







      def __iter__(   self							)       ->						Any:



        '''simple docstring'''




        a__     : Optional[int]  =self.head
        while node:
          yield node.data
          a__     : Optional[int]  =node.next_node







      def __len__(   self							)       ->						List[str]:



        '''simple docstring'''




        return sum(1 for _ in self							)







      def __str__(   self							)       ->						Optional[int]:



        '''simple docstring'''




        return " -> ".join([str(lowerCamelCase_							) for node in self]							)
def 					_A	(		SCREAMING_SNAKE_CASE					:       SortedLinkedList	,	SCREAMING_SNAKE_CASE					:       SortedLinkedList						):





  """simple docstring"""



  return SortedLinkedList(list(SCREAMING_SNAKE_CASE						) + list(SCREAMING_SNAKE_CASE						)						)


if __name__ == "__main__":
     import doctest

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













from typing import Optional

from .. import Features, NamedSplit
from ..packaged_modules.text.text import Text
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader







class     __lowerCAmelCase	(   UpperCamelCase__):







      def __init__(   self		,				lowerCAmelCase__		,				lowerCAmelCase__ = None		,				lowerCAmelCase__ = None		,				lowerCAmelCase__ = None		,				lowerCAmelCase__ = False		,				lowerCAmelCase__ = False		,				lowerCAmelCase__ = None		,				**lowerCAmelCase__		,				)       ->						int:



        '''simple docstring'''




        super().__init__(
            lowerCAmelCase__		,				split=lowerCAmelCase__		,				features=lowerCAmelCase__		,				cache_dir=lowerCAmelCase__		,				keep_in_memory=lowerCAmelCase__		,				streaming=lowerCAmelCase__		,				num_proc=lowerCAmelCase__		,				**lowerCAmelCase__		,				)
        a__     : Tuple  =path_or_paths if isinstance(lowerCAmelCase__		,				lowerCAmelCase__							) else {self.split: path_or_paths}
        a__     : List[str]  =Text(
            cache_dir=lowerCAmelCase__		,				data_files=lowerCAmelCase__		,				features=lowerCAmelCase__		,				**lowerCAmelCase__		,				)







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



        '''simple docstring'''




        if self.streaming:
          a__     : str  =self.builder.as_streaming_dataset(split=self.split							)
        # Build regular (map-style) dataset
        else:
          a__     : Dict  =None
          a__     : Optional[Any]  =None
          a__     : Union[str, Any]  =None
          a__     : Tuple  =None

          self.builder.download_and_prepare(
              download_config=lowerCAmelCase__		,				download_mode=lowerCAmelCase__		,				verification_mode=lowerCAmelCase__		,				base_path=lowerCAmelCase__		,				num_proc=self.num_proc		,				)
          a__     : Tuple  =self.builder.as_dataset(
              split=self.split		,				verification_mode=lowerCAmelCase__		,				in_memory=self.keep_in_memory							)
        return dataset






