




'''simple docstring'''







from __future__ import annotations

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

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


@dataclass
class     _a						:
       __a       :  int
       __a       :  Node | None






class     _a						:
       def __init__(			self		:			Union[str, Any]     ,       lowercase		:			Iterable[int]       ):



           '''simple docstring'''

           UpperCAmelCase     =	None
           for i in sorted(lowercase     ,       reverse=lowercase       ):
               UpperCAmelCase     =	Node(lowercase     ,       self.head       )
       def __iter__(			self		:			Optional[int]       ):



           '''simple docstring'''

           UpperCAmelCase     =	self.head
           while node:
               yield node.data
               UpperCAmelCase     =	node.next_node
       def __len__(			self		:			int       ):



           '''simple docstring'''

           return sum(1 for _ in self       )







       def __str__(			self		:			Any       ):



           '''simple docstring'''

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






def 		snake_case_							(_a			:							SortedLinkedList					,     _a			:							SortedLinkedList  ):
    return SortedLinkedList(list(_a  ) + list(_a  )  )


if __name__ == "__main__":
   import doctest

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










'''simple docstring'''







from datetime import datetime

import matplotlib.pyplot as plt
import torch





def 		snake_case_							(_a			:							List[str]  ):
    for param in module.parameters():
        UpperCAmelCase     =	False





def 		snake_case_							():
    UpperCAmelCase     =	'''cuda''' if torch.cuda.is_available() else '''cpu'''
    if torch.backends.mps.is_available() and torch.backends.mps.is_built():
        UpperCAmelCase     =	'''mps'''
    if device == "mps":
        print(
            '''WARNING: MPS currently doesn\'t seem to work, and messes up backpropagation without any visible torch'''
            ''' errors. I recommend using CUDA on a colab notebook or CPU instead if you\'re facing inexplicable issues'''
            ''' with generations.'''  )
    return device





def 		snake_case_							(_a			:							Optional[Any]  ):
    UpperCAmelCase     =	plt.imshow(_a  )
    fig.axes.get_xaxis().set_visible(_a  )
    fig.axes.get_yaxis().set_visible(_a  )
    plt.show()







def 		snake_case_							():
    UpperCAmelCase     =	datetime.now()
    UpperCAmelCase     =	current_time.strftime('''%H:%M:%S'''  )
    return timestamp




