"""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 					UpperCAmelCase		(_UpperCAmelCase						):



    """simple docstring"""

    _UpperCAmelCase			:Union[List[PIL.Image.Image], np.ndarray]



class 					UpperCAmelCase		(unittest.TestCase						):



    """simple docstring"""

    def _snake_case    (     self							):
       lowercase__:     Tuple      =   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
       lowercase__:     Optional[Any]      =   CustomOutput(images=[PIL.Image.new('''RGB'''					,    (4, 4)							)]							)

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






    def _snake_case    (     self							):
       # test output reinitialization with a `dict` for compatibility with `accelerate`
       lowercase__:     List[str]      =   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
       lowercase__:     List[str]      =   CustomOutput({'''images''': [PIL.Image.new('''RGB'''					,    (4, 4)							)]}							)

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

"""simple docstring"""






class 					UpperCAmelCase		:



    """simple docstring"""

    def __init__(     self					,    _UpperCAmelCase=None							):
       lowercase__:     Optional[int]      =   data
       lowercase__:     Dict      =   None






    def __repr__(     self							):
       lowercase__:     int      =   ''''''
       lowercase__:     Any      =   self
       while temp:
          string_rep += F"""<{temp.data}> ---> """
          lowercase__:     Any      =   temp.next
       string_rep += "<END>"
       return string_rep



def SCREAMING_SNAKE_CASE__    (     __UpperCAmelCase				)						->						str:

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

   # Set first element as Head
   lowercase__:     Union[str, Any]      =   Node(elements_list[0]				)
   lowercase__:     List[str]      =   head
   # Loop through elements from position 1
   for data in elements_list[1:]:
      lowercase__:     Tuple      =   Node(__UpperCAmelCase				)
      lowercase__:     Tuple      =   current.next
   return head


__A         =				[1, 3, 5, 3_2, 4_4, 1_2, 4_3]
print(f'''List: {list_data}''')
print("Creating Linked List from List.")
__A         =				make_linked_list(list_data)
print("Linked List:")




print(linked_list)
