code: 
  
  
  
  
  """simple docstring"""
  
  
  
  
  from typing import List
  
  import PIL
  import torch
  from PIL import Image
  
  from ...configuration_utils import ConfigMixin
  from ...models.modeling_utils import ModelMixin
  from ...utils import PIL_INTERPOLATION
  class 							lowerCamelCase		( _UpperCAmelCase	,  _UpperCAmelCase				):
  
  
  
  
  
  
  
     def __init__(							self ):
         super().__init__()
  
         self.register_buffer("""watermark_image"""    ,      torch.zeros((62, 62, 4) ) )
         UpperCamelCase				:   str          =							None
  
  
  
  
  
  
  
     def       a_							(							self    ,      SCREAMING_SNAKE_CASE_    ,      SCREAMING_SNAKE_CASE_=None ):
         # copied from https://github.com/deep-floyd/IF/blob/b77482e36ca2031cb94dbca1001fc1e6400bf4ab/deepfloyd_if/modules/base.py#L287
  
         UpperCamelCase				:   List[str]          =							images[0].height
         UpperCamelCase				:   Optional[Any]          =							images[0].width
  
         UpperCamelCase				:   Union[str, Any]          =							sample_size or h
  
         UpperCamelCase				:   Tuple          =							min(h / sample_size    ,      w / sample_size )
         UpperCamelCase       ,							UpperCamelCase				:   Union[str, Any]          =							(int(h / coef ), int(w / coef )) if coef < 1 else (h, w)
  
         UpperCamelCase       ,							UpperCamelCase				:   List[Any]          =							1024**2, img_w * img_h
         UpperCamelCase				:   List[Any]          =							(Sa / Sa) ** 0.5
         UpperCamelCase       ,							UpperCamelCase       ,							UpperCamelCase				:   Tuple          =							int(K * 62 ), img_w - int(14 * K ), img_h - int(14 * K )
  
         if self.watermark_image_as_pil is None:
             UpperCamelCase				:   Tuple          =							self.watermark_image.to(torch.uinta ).cpu().numpy()
             UpperCamelCase				:   Optional[Any]          =							Image.fromarray(SCREAMING_SNAKE_CASE_    ,      mode="""RGBA""" )
             UpperCamelCase				:   int          =							watermark_image
  
         UpperCamelCase				:   Any          =							self.watermark_image_as_pil.resize(
             (wm_size, wm_size)    ,      PIL_INTERPOLATION["""bicubic"""]    ,      reducing_gap=SCREAMING_SNAKE_CASE_ )
  
         for pil_img in images:
             pil_img.paste(SCREAMING_SNAKE_CASE_    ,      box=(wm_x - wm_size, wm_y - wm_size, wm_x, wm_y)    ,      mask=wm_img.split()[-1] )
  
         return images
  
  
  
  
  
style_context: 
  
  
  
  
  """simple docstring"""
  
  
  
  
  class 							lowerCamelCase		:
  
  
  
  
  
  
  
     def __init__(							self    ,      SCREAMING_SNAKE_CASE_=None ):
         UpperCamelCase				:   Optional[Any]          =							data
         UpperCamelCase				:   str          =							None
  
  
  
  
  
  
  
     def __repr__(							self ):
         UpperCamelCase				:   str          =							""""""
         UpperCamelCase				:   Any          =							self
         while temp:
             string_rep += f'<{temp.data}> ---> '
             UpperCamelCase				:   Optional[int]          =							temp.next
         string_rep += "<END>"
         return string_rep
  
  
  
  
  
  
  
  def 					A_			(		snake_case_     :       Tuple    ):
  
  
  
  
  
  
  
      '''simple docstring'''
  
      # if elements_list is empty
      if not elements_list:
          raise Exception("""The Elements List is empty"""    )
  
      # Set first element as Head
      UpperCamelCase				:   List[Any]          =							Node(elements_list[0]    )
      UpperCamelCase				:   str          =							head
      # Loop through elements from position 1
      for data in elements_list[1:]:
          UpperCamelCase				:   Optional[int]          =							Node(snake_case_    )
          UpperCamelCase				:   Optional[Any]          =							current.next
      return head
  
  
  __A :		List[Any]      							=    [1, 3, 5, 32, 44, 12, 43]
  print(F'''List: {list_data}''')
  print('''Creating Linked List from List.''')
  __A :		int      							=    make_linked_list(list_data)
  print('''Linked List:''')
  
  
  print(linked_list)
  
  
  
  
  