





from __future__ import annotations

import sys



class       __lowerCAmelCase :

			'''simple docstring'''





			def __init__(self      ,							__magic_name__      ,							__magic_name__					)  ->     Union[str, Any]:


							'''simple docstring'''



							snake_case_		:					str			    =						letter
							snake_case_		:					int			    =						freq
							snake_case_		:					dict[str, str]			    =						{}






			def __repr__(self					)  ->     str:


							'''simple docstring'''



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




class       __lowerCAmelCase :

			'''simple docstring'''





			def __init__(self      ,							__magic_name__      ,							__magic_name__      ,							__magic_name__					)  ->     Optional[Any]:


							'''simple docstring'''



							snake_case_		:					int			    =						freq
							snake_case_		:					Letter | TreeNode			    =						left
							snake_case_		:					Letter | TreeNode			    =						right






def   lowerCamelCase_		(       _UpperCamelCase				)	->		list[Letter]:






				"""simple docstring"""


				snake_case_		:					dict[str, int]			    =						{}
				with open(_UpperCamelCase				) as f:
								while True:
												snake_case_		:					Any			    =						f.read(1				)
												if not c:
																break
												snake_case_		:					List[Any]			    =						chars[c] + 1 if c in chars else 1
				return sorted((Letter(_UpperCamelCase				,       _UpperCamelCase				) for c, f in chars.items())				,       key=lambda _UpperCamelCase				: x.freq				)






def   lowerCamelCase_		(       _UpperCamelCase				)	->		Letter | TreeNode:






				"""simple docstring"""


				snake_case_		:					list[Letter | TreeNode]			    =						letters  # type: ignore
				while len(_UpperCamelCase				) > 1:
								snake_case_		:					List[str]			    =						response.pop(0				)
								snake_case_		:					Any			    =						response.pop(0				)
								snake_case_		:					List[str]			    =						left.freq + right.freq
								snake_case_		:					Optional[Any]			    =						TreeNode(_UpperCamelCase				,       _UpperCamelCase				,       _UpperCamelCase				)
								response.append(_UpperCamelCase				)
								response.sort(key=lambda _UpperCamelCase				: x.freq				)
				return response[0]






def   lowerCamelCase_		(       _UpperCamelCase				,       _UpperCamelCase				)	->		list[Letter]:






				"""simple docstring"""


				if isinstance(_UpperCamelCase				,       _UpperCamelCase				):
								snake_case_		:					Optional[int]			    =						bitstring
								return [root]
				snake_case_		:					TreeNode			    =						root  # type: ignore
				snake_case_		:					Optional[Any]			    =						[]
				letters += traverse_tree(treenode.left				,       bitstring + '''0'''				)
				letters += traverse_tree(treenode.right				,       bitstring + '''1'''				)
				return letters






def   lowerCamelCase_		(       _UpperCamelCase				)	->		None:






				"""simple docstring"""


				snake_case_		:					Union[str, Any]			    =						parse_file(_UpperCamelCase				)
				snake_case_		:					Optional[int]			    =						build_tree(_UpperCamelCase				)
				snake_case_		:					List[str]			    =						{
				    k: v for letter in traverse_tree(_UpperCamelCase				,       ''''''				) for k, v in letter.bitstring.items()
				}
				print(f'''Huffman Coding  of {file_path}: '''				)
				with open(_UpperCamelCase				) as f:
								while True:
												snake_case_		:					Union[str, Any]			    =						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])







import warnings

from ...utils import logging
from .image_processing_levit import LevitImageProcessor


lowerCAmelCase_												=       logging.get_logger(__name__)



class       __lowerCAmelCase (    _a  ):






			def __init__(self      ,							*__magic_name__      ,							**__magic_name__					)  ->     None:


							'''simple docstring'''



							warnings.warn(
							    '''The class LevitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
							    ''' use LevitImageProcessor instead.'''      ,							__magic_name__      ,							)
							super().__init__(*__magic_name__      ,							**__magic_name__					)
