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 						lowercase     (   UpperCAmelCase__				,			UpperCAmelCase__):
  
  
  
  
  
  
        def __init__(self					)       ->   int:
           super().__init__()
  
           self.register_buffer('''watermark_image''' ,  torch.zeros((6_2, 6_2, 4)					)					)
           SCREAMING_SNAKE_CASE__			:				str       						= None
  
  
  
  
  
  
        def    A__(self ,  a__ ,  a__=None					)       ->   Dict:
           # copied from https://github.com/deep-floyd/IF/blob/b77482e36ca2031cb94dbca1001fc1e6400bf4ab/deepfloyd_if/modules/base.py#L287
  
           SCREAMING_SNAKE_CASE__			:				Union[str, Any]       						= images[0].height
           SCREAMING_SNAKE_CASE__			:				List[str]       						= images[0].width
  
           SCREAMING_SNAKE_CASE__			:				int       						= sample_size or h
  
           SCREAMING_SNAKE_CASE__			:				Optional[Any]       						= min(h / sample_size ,  w / sample_size					)
           SCREAMING_SNAKE_CASE__			:				Union[str, Any]       						= (int(h / coef					), int(w / coef					)) if coef < 1 else (h, w)
  
           SCREAMING_SNAKE_CASE__			:				Optional[Any]       						= 1_0_2_4**2, img_w * img_h
           SCREAMING_SNAKE_CASE__			:				Union[str, Any]       						= (Sa / Sa) ** 0.5
           SCREAMING_SNAKE_CASE__			:				Tuple       						= int(K * 6_2					), img_w - int(1_4 * K					), img_h - int(1_4 * K					)
  
           if self.watermark_image_as_pil is None:
              SCREAMING_SNAKE_CASE__			:				str       						= self.watermark_image.to(torch.uinta					).cpu().numpy()
              SCREAMING_SNAKE_CASE__			:				Any       						= Image.fromarray(lowerCamelCase__ ,  mode='''RGBA'''					)
              SCREAMING_SNAKE_CASE__			:				Tuple       						= watermark_image
  
           SCREAMING_SNAKE_CASE__			:				Optional[Any]       						= self.watermark_image_as_pil.resize(
               (wm_size, wm_size) ,  PIL_INTERPOLATION['''bicubic'''] ,  reducing_gap=lowerCamelCase__					)
  
           for pil_img in images:
              pil_img.paste(lowerCamelCase__ ,  box=(wm_x - wm_size, wm_y - wm_size, wm_x, wm_y) ,  mask=wm_img.split()[-1]					)
  
           return images
  
  
style_context: 
  
  
  
  
  '''simple docstring'''
  
  
  
  
  
  from __future__ import annotations
  
  import sys
  
  
  
  
  
  
  class 						lowercase     :
  
  
  
  
  
  
        def __init__(self ,  a__ ,  a__					)       ->   List[str]:
           SCREAMING_SNAKE_CASE__			:				str       						= letter
           SCREAMING_SNAKE_CASE__			:				int       						= freq
           SCREAMING_SNAKE_CASE__			:				dict[str, str]       						= {}
  
  
  
  
  
  
        def __repr__(self					)       ->   str:
           return f"""{self.letter}:{self.freq}"""
  
  
  
  
  
  
  class 						lowercase     :
  
  
  
  
  
  
        def __init__(self ,  a__ ,  a__ ,  a__					)       ->   Union[str, Any]:
           SCREAMING_SNAKE_CASE__			:				int       						= freq
           SCREAMING_SNAKE_CASE__			:				Letter | TreeNode       						= left
           SCREAMING_SNAKE_CASE__			:				Letter | TreeNode       						= right
  
  
  def 				UpperCamelCase	(  snake_case   ):
  
  
  
  
     '''simple docstring'''
  
     SCREAMING_SNAKE_CASE__			:				dict[str, int]       						= {}
     with open(snake_case   ) as f:
        while True:
           SCREAMING_SNAKE_CASE__			:				List[str]       						= f.read(1   )
           if not c:
              break
           SCREAMING_SNAKE_CASE__			:				Optional[Any]       						= chars[c] + 1 if c in chars else 1
     return sorted((Letter(snake_case	,     snake_case   ) for c, f in chars.items())	,     key=lambda snake_case   : x.freq   )
  
  
  def 				UpperCamelCase	(  snake_case   ):
  
  
  
  
     '''simple docstring'''
  
     SCREAMING_SNAKE_CASE__			:				list[Letter | TreeNode]       						= letters  # type: ignore
     while len(snake_case   ) > 1:
        SCREAMING_SNAKE_CASE__			:				Optional[Any]       						= response.pop(0   )
        SCREAMING_SNAKE_CASE__			:				Union[str, Any]       						= response.pop(0   )
        SCREAMING_SNAKE_CASE__			:				Dict       						= left.freq + right.freq
        SCREAMING_SNAKE_CASE__			:				Any       						= TreeNode(snake_case	,     snake_case	,     snake_case   )
        response.append(snake_case   )
        response.sort(key=lambda snake_case   : x.freq   )
     return response[0]
  
  
  def 				UpperCamelCase	(  snake_case	,     snake_case   ):
  
  
  
  
     '''simple docstring'''
  
     if isinstance(snake_case	,     snake_case   ):
        SCREAMING_SNAKE_CASE__			:				Optional[int]       						= bitstring
        return [root]
     SCREAMING_SNAKE_CASE__			:				TreeNode       						= root  # type: ignore
     SCREAMING_SNAKE_CASE__			:				int       						= []
     letters += traverse_tree(treenode.left	,     bitstring + '''0'''   )
     letters += traverse_tree(treenode.right	,     bitstring + '''1'''   )
     return letters
  
  
  def 				UpperCamelCase	(  snake_case   ):
  
  
  
  
     '''simple docstring'''
  
     SCREAMING_SNAKE_CASE__			:				Optional[int]       						= parse_file(snake_case   )
     SCREAMING_SNAKE_CASE__			:				List[Any]       						= build_tree(snake_case   )
     SCREAMING_SNAKE_CASE__			:				List[str]       						= {
         k: v for letter in traverse_tree(snake_case	,     ''''''   ) for k, v in letter.bitstring.items()
     }
     print(f"""Huffman Coding  of {file_path}: """   )
     with open(snake_case   ) as f:
        while True:
           SCREAMING_SNAKE_CASE__			:				Tuple       						= f.read(1   )
           if not c:
              break
           print(letters[c]	,     end=''' '''   )
     print()
  
  
  if __name__ == "__main__":
         # pass the file path to the huffman function
         huffman(sys.argv[1])
  
  