





from __future__ import annotations

import sys







class 	_UpperCamelCase	:







					'''simple docstring'''

					def __init__(    self     :	Tuple			,       __lowercase     :	int			,       __lowercase     :	List[str]		):






						'''simple docstring'''







						UpperCAmelCase_		    =  letter
						UpperCAmelCase_		    =  freq
						UpperCAmelCase_		    =  {}





					def __repr__(    self     :	Dict		):






						'''simple docstring'''







						return F"""{self.letter}:{self.freq}"""







class 	_UpperCamelCase	:







					'''simple docstring'''

					def __init__(    self     :	Optional[int]			,       __lowercase     :	Optional[int]			,       __lowercase     :	int			,       __lowercase     :	str		):






						'''simple docstring'''







						UpperCAmelCase_		    =  freq
						UpperCAmelCase_		    =  left
						UpperCAmelCase_		    =  right




def  A_(      A ):
	UpperCAmelCase_		    =  {}
	with open(lowerCAmelCase__ ) as f:
		while True:
			UpperCAmelCase_		    =  f.read(1 )
			if not c:
				break
			UpperCAmelCase_		    =  chars[c] + 1 if c in chars else 1
	return sorted((Letter(lowerCAmelCase__					,   lowerCAmelCase__ ) for c, f in chars.items())					,   key=lambda A : x.freq )




def  A_(      A ):
	UpperCAmelCase_		    =  letters  # type: ignore
	while len(lowerCAmelCase__ ) > 1:
		UpperCAmelCase_		    =  response.pop(0 )
		UpperCAmelCase_		    =  response.pop(0 )
		UpperCAmelCase_		    =  left.freq + right.freq
		UpperCAmelCase_		    =  TreeNode(lowerCAmelCase__					,   lowerCAmelCase__					,   lowerCAmelCase__ )
		response.append(lowerCAmelCase__ )
		response.sort(key=lambda A : x.freq )
	return response[0]




def  A_(      A					,   A ):



	if isinstance(lowerCAmelCase__					,   lowerCAmelCase__ ):
		UpperCAmelCase_		    =  bitstring
		return [root]
	UpperCAmelCase_		    =  root  # type: ignore
	UpperCAmelCase_		    =  []
	letters += traverse_tree(treenode.left					,   bitstring + """0""" )
	letters += traverse_tree(treenode.right					,   bitstring + """1""" )
	return letters




def  A_(      A ):
	UpperCAmelCase_		    =  parse_file(lowerCAmelCase__ )
	UpperCAmelCase_		    =  build_tree(lowerCAmelCase__ )
	UpperCAmelCase_		    =  {
	    k: v for letter in traverse_tree(lowerCAmelCase__					,   """""" ) for k, v in letter.bitstring.items()
	}
	print(f"""Huffman Coding  of {file_path}: """ )
	with open(lowerCAmelCase__ ) as f:
		while True:
			UpperCAmelCase_		    =  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])






'''simple docstring'''






from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import BaseOutput, is_torch_available, is_transformers_available




@dataclass
class 			a  (  _SCREAMING_SNAKE_CASE							):
 _lowerCAmelCase			       =						{
     """sld_warmup_steps""": 1_5,
     """sld_guidance_scale""": 2_0,
     """sld_threshold""": 0.0,
     """sld_momentum_scale""": 0.0,
     """sld_mom_beta""": 0.0,
 }
 _lowerCAmelCase			       =						{
     """sld_warmup_steps""": 1_0,
     """sld_guidance_scale""": 1_0_0_0,
     """sld_threshold""": 0.01,
     """sld_momentum_scale""": 0.3,
     """sld_mom_beta""": 0.4,
 }
 _lowerCAmelCase			       =						{
     """sld_warmup_steps""": 7,
     """sld_guidance_scale""": 2_0_0_0,
     """sld_threshold""": 0.025,
     """sld_momentum_scale""": 0.5,
     """sld_mom_beta""": 0.7,
 }
 _lowerCAmelCase			       =						{
     """sld_warmup_steps""": 0,
     """sld_guidance_scale""": 5_0_0_0,
     """sld_threshold""": 1.0,
     """sld_momentum_scale""": 0.5,
     """sld_mom_beta""": 0.7,
 }





@dataclass
class 			a  (  _SCREAMING_SNAKE_CASE							):
 _lowerCAmelCase			       =						42
 _lowerCAmelCase			       =						42
 _lowerCAmelCase			       =						42
 _lowerCAmelCase			       =						42


if is_transformers_available() and is_torch_available():
 from .pipeline_stable_diffusion_safe import StableDiffusionPipelineSafe
 from .safety_checker import SafeStableDiffusionSafetyChecker

