



import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


__A       =logging.get_logger(__name__)

class 						UpperCAmelCase__     (     _snake_case  ):




			'''simple docstring'''






			UpperCamelCase     		=			"speech-encoder-decoder"
			UpperCamelCase     		=			True




			def __init__(  self				:					List[Any]			,			**a_				:					str					):
					'''simple docstring'''





					super().__init__(**_lowercase					)
					if "encoder" not in kwargs or "decoder" not in kwargs:
							raise ValueError(
							    F'A configuraton of type {self.model_type} cannot be instantiated because not both `encoder` and'
							    F' `decoder` sub-configurations are passed, but only {kwargs}'					)

					__UpperCAmelCase       :	Union[str, Any]						=      kwargs.pop('''encoder'''					)
					__UpperCAmelCase       :	Optional[int]						=      encoder_config.pop('''model_type'''					)
					__UpperCAmelCase       :	Optional[Any]						=      kwargs.pop('''decoder'''					)
					__UpperCAmelCase       :	Union[str, Any]						=      decoder_config.pop('''model_type'''					)

					__UpperCAmelCase       :	Optional[int]						=      AutoConfig.for_model(_lowercase			,			**_lowercase					)
					__UpperCAmelCase       :	str						=      AutoConfig.for_model(_lowercase			,			**_lowercase					)
					__UpperCAmelCase       :	Dict						=      True




			@classmethod
			def 					snake_case__	(  cls				:					Dict			,			a_				:					PretrainedConfig			,			a_				:					PretrainedConfig			,			**a_				:					Union[str, Any]					):
					'''simple docstring'''





					logger.info('''Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''					)
					__UpperCAmelCase       :	List[Any]						=      True
					__UpperCAmelCase       :	Optional[int]						=      True

					return cls(encoder=encoder_config.to_dict()			,			decoder=decoder_config.to_dict()			,			**_lowercase					)




			def 					snake_case__	(  self				:					Tuple					):
					'''simple docstring'''





					__UpperCAmelCase       :	List[Any]						=      copy.deepcopy(self.__dict__					)
					__UpperCAmelCase       :	str						=      self.encoder.to_dict()
					__UpperCAmelCase       :	Optional[int]						=      self.decoder.to_dict()
					__UpperCAmelCase       :	List[str]						=      self.__class__.model_type
					return output










from __future__ import annotations

import sys







class 				a_    :

						def __init__(       self      :Dict  ,		_lowercase      :str  ,		_lowercase      :int)						->   List[Any]:
												UpperCAmelCase_					=	letter
												UpperCAmelCase_					=	freq
												UpperCAmelCase_					=	{}




						def __repr__(       self      :str)						->   str:
												return f"{self.letter}:{self.freq}"







class 				a_    :

						def __init__(       self      :List[Any]  ,		_lowercase      :int  ,		_lowercase      :Letter | TreeNode  ,		_lowercase      :Letter | TreeNode)						->   Dict:
												UpperCAmelCase_					=	freq
												UpperCAmelCase_					=	left
												UpperCAmelCase_					=	right







def 							A     (						__UpperCAmelCase      )			->			list[Letter]:



						'''simple docstring'''






						UpperCAmelCase_					=	{}
						with open(__UpperCAmelCase      ) 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(__UpperCAmelCase				,   __UpperCAmelCase      ) for c, f in chars.items())				,   key=lambda __UpperCAmelCase      : x.freq      )







def 							A     (						__UpperCAmelCase      )			->			Letter | TreeNode:



						'''simple docstring'''






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







def 							A     (						__UpperCAmelCase				,   __UpperCAmelCase      )			->			list[Letter]:



						'''simple docstring'''






						if isinstance(__UpperCAmelCase				,   __UpperCAmelCase      ):
												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     (						__UpperCAmelCase      )			->			None:



						'''simple docstring'''






						UpperCAmelCase_					=	parse_file(__UpperCAmelCase      )
						UpperCAmelCase_					=	build_tree(__UpperCAmelCase      )
						UpperCAmelCase_					=	{
						    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:
																		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])





