





'''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







'''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])

