





'''simple docstring'''

class        __lowerCAmelCase  :






       """simple docstring"""





       def __init__(							self     :	Any ,				lowerCAmelCase__     :	List[str]=None  )					->  Optional[Any]:

            '''simple docstring'''




            _UpperCamelCase       					= data
            _UpperCamelCase       					= None







       def __repr__(							self     :	Optional[Any]  )					->  Optional[int]:

            '''simple docstring'''




            _UpperCamelCase       					= ''''''
            _UpperCamelCase       					= self
            while temp:
                 string_rep += f"""<{temp.data}> ---> """
                 _UpperCamelCase       					= temp.next
            string_rep += "<END>"
            return string_rep







def       a__       (       lowercase      :  List[Any]   )	->	Optional[int]:





     """simple docstring"""

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

     # Set first element as Head
     _UpperCamelCase       					= Node(elements_list[0]   )
     _UpperCamelCase       					= head
     # Loop through elements from position 1
     for data in elements_list[1:]:
          _UpperCamelCase       					= Node(lowercase   )
          _UpperCamelCase       					= current.next
     return head


lowercase__		:    Tuple =       [1, 3, 5, 32, 44, 12, 43]
print(F"""List: {list_data}""")
print('Creating Linked List from List.')
lowercase__		:    Dict =       make_linked_list(list_data)
print('Linked List:')




print(linked_list)










'''simple docstring'''

import unittest
from dataclasses import dataclass
from typing import List, Union

import numpy as np
import PIL.Image

from diffusers.utils.outputs import BaseOutput
@dataclass
class        __lowerCAmelCase  (					__magic_name__				):






       """simple docstring"""
       _snake_case			:  Union[List[PIL.Image.Image], np.ndarray]

class        __lowerCAmelCase  (					unittest.TestCase				):






       """simple docstring"""





       def snake_case__		(							self     :	Any  )					->  Any:

            '''simple docstring'''




            _UpperCamelCase       					= CustomOutput(images=np.random.rand(1 ,				3 ,				4 ,				4  )  )

            # check every way of getting the attribute
            assert isinstance(outputs.images ,				np.ndarray  )
            assert outputs.images.shape == (1, 3, 4, 4)
            assert isinstance(outputs['''images'''] ,				np.ndarray  )
            assert outputs["images"].shape == (1, 3, 4, 4)
            assert isinstance(outputs[0] ,				np.ndarray  )
            assert outputs[0].shape == (1, 3, 4, 4)

            # test with a non-tensor attribute
            _UpperCamelCase       					= CustomOutput(images=[PIL.Image.new('''RGB''' ,				(4, 4)  )]  )

            # check every way of getting the attribute
            assert isinstance(outputs.images ,				lowerCAmelCase__  )
            assert isinstance(outputs.images[0] ,				PIL.Image.Image  )
            assert isinstance(outputs['''images'''] ,				lowerCAmelCase__  )
            assert isinstance(outputs['''images'''][0] ,				PIL.Image.Image  )
            assert isinstance(outputs[0] ,				lowerCAmelCase__  )
            assert isinstance(outputs[0][0] ,				PIL.Image.Image  )







       def snake_case__		(							self     :	List[str]  )					->  Union[str, Any]:

            '''simple docstring'''




            _UpperCamelCase       					= CustomOutput({'''images''': np.random.rand(1 ,				3 ,				4 ,				4  )}  )

            # check every way of getting the attribute
            assert isinstance(outputs.images ,				np.ndarray  )
            assert outputs.images.shape == (1, 3, 4, 4)
            assert isinstance(outputs['''images'''] ,				np.ndarray  )
            assert outputs["images"].shape == (1, 3, 4, 4)
            assert isinstance(outputs[0] ,				np.ndarray  )
            assert outputs[0].shape == (1, 3, 4, 4)

            # test with a non-tensor attribute
            _UpperCamelCase       					= CustomOutput({'''images''': [PIL.Image.new('''RGB''' ,				(4, 4)  )]}  )

            # check every way of getting the attribute
            assert isinstance(outputs.images ,				lowerCAmelCase__  )
            assert isinstance(outputs.images[0] ,				PIL.Image.Image  )
            assert isinstance(outputs['''images'''] ,				lowerCAmelCase__  )
            assert isinstance(outputs['''images'''][0] ,				PIL.Image.Image  )
            assert isinstance(outputs[0] ,				lowerCAmelCase__  )
            assert isinstance(outputs[0][0] ,				PIL.Image.Image  )



