


import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCamelCase						=		logging.get_logger(__name__)

lowerCamelCase						=		{'''vocab_file''': '''spiece.model'''}

lowerCamelCase						=		{
    '''vocab_file''': {
        '''bert_for_seq_generation''': (
            '''https://huggingface.co/google/bert_for_seq_generation_L-24_bbc_encoder/resolve/main/spiece.model'''
        ),
    }
}

lowerCamelCase						=		{'''bert_for_seq_generation''': 512}





class  _a							(    _lowercase):
	_a  :  int				   =							VOCAB_FILES_NAMES
	_a  :  Optional[Any]				   =							PRETRAINED_VOCAB_FILES_MAP
	_a  :  Optional[int]				   =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_a  :  List[int]				   =							[]
	_a  :  Dict				   =							['''input_ids''', '''attention_mask''']




	def __init__( self						:		List[str]		, _SCREAMING_SNAKE_CASE						:		Tuple		, _SCREAMING_SNAKE_CASE						:		List[Any]="<s>"		, _SCREAMING_SNAKE_CASE						:		int="</s>"		, _SCREAMING_SNAKE_CASE						:		Optional[Any]="<unk>"		, _SCREAMING_SNAKE_CASE						:		Any="<pad>"		, _SCREAMING_SNAKE_CASE						:		Optional[int]="<::::>"		, _SCREAMING_SNAKE_CASE						:		Optional[Dict[str, Any]] = None		, **_SCREAMING_SNAKE_CASE						:		int		, )->	None:
			lowerCAmelCase__       :      Optional[Any]   					= {} if sp_model_kwargs is None else sp_model_kwargs

			# Add extra_ids to the special token list
			super().__init__(
			    bos_token=_SCREAMING_SNAKE_CASE		, eos_token=_SCREAMING_SNAKE_CASE		, unk_token=_SCREAMING_SNAKE_CASE		, pad_token=_SCREAMING_SNAKE_CASE		, sep_token=_SCREAMING_SNAKE_CASE		, sp_model_kwargs=self.sp_model_kwargs		, **_SCREAMING_SNAKE_CASE		, )

			lowerCAmelCase__       :      Any   					= vocab_file

			lowerCAmelCase__       :      List[str]   					= spm.SentencePieceProcessor(**self.sp_model_kwargs		)
			self.sp_model.Load(_SCREAMING_SNAKE_CASE		)




	@property
	def 							UpperCAmelCase__( self						:		Union[str, Any]		)->	Union[str, Any]:
			return self.sp_model.get_piece_size()




	def 							UpperCAmelCase__( self						:		str		)->	str:
			lowerCAmelCase__       :      Optional[Any]   					= {self.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE		): i for i in range(self.vocab_size		)}
			vocab.update(self.added_tokens_encoder		)
			return vocab




	def __getstate__( self						:		int		)->	List[str]:
			lowerCAmelCase__       :      Optional[int]   					= self.__dict__.copy()
			lowerCAmelCase__       :      str   					= None
			return state




	def __setstate__( self						:		Optional[int]		, _SCREAMING_SNAKE_CASE						:		List[str]		)->	List[Any]:
			lowerCAmelCase__       :      Union[str, Any]   					= d

			# for backward compatibility
			if not hasattr(self		, '''sp_model_kwargs'''		):
					lowerCAmelCase__       :      int   					= {}

			lowerCAmelCase__       :      Dict   					= spm.SentencePieceProcessor(**self.sp_model_kwargs		)
			self.sp_model.Load(self.vocab_file		)




	def 							UpperCAmelCase__( self						:		List[Any]		, _SCREAMING_SNAKE_CASE						:		str		)->	List[str]:
			return self.sp_model.encode(_SCREAMING_SNAKE_CASE		, out_type=_SCREAMING_SNAKE_CASE		)




	def 							UpperCAmelCase__( self						:		List[str]		, _SCREAMING_SNAKE_CASE						:		str		)->	List[Any]:
			return self.sp_model.piece_to_id(_SCREAMING_SNAKE_CASE		)




	def 							UpperCAmelCase__( self						:		Union[str, Any]		, _SCREAMING_SNAKE_CASE						:		List[str]		)->	Any:
			lowerCAmelCase__       :      List[str]   					= self.sp_model.IdToPiece(_SCREAMING_SNAKE_CASE		)
			return token




	def 							UpperCAmelCase__( self						:		Union[str, Any]		, _SCREAMING_SNAKE_CASE						:		Optional[Any]		)->	int:
			lowerCAmelCase__       :      Union[str, Any]   					= []
			lowerCAmelCase__       :      Union[str, Any]   					= ''''''
			for token in tokens:
					# make sure that special tokens are not decoded using sentencepiece model
					if token in self.all_special_tokens:
							out_string += self.sp_model.decode(_SCREAMING_SNAKE_CASE		) + token
							lowerCAmelCase__       :      List[str]   					= []
					else:
							current_sub_tokens.append(_SCREAMING_SNAKE_CASE		)
			out_string += self.sp_model.decode(_SCREAMING_SNAKE_CASE		)
			return out_string.strip()




	def 							UpperCAmelCase__( self						:		List[Any]		, _SCREAMING_SNAKE_CASE						:		str		, _SCREAMING_SNAKE_CASE						:		Optional[str] = None		)->	Tuple[str]:
			if not os.path.isdir(_SCREAMING_SNAKE_CASE		):
					logger.error(F'Vocabulary path ({save_directory}) should be a directory'		)
					return
			lowerCAmelCase__       :      int   					= os.path.join(
			    _SCREAMING_SNAKE_CASE		, (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']		)

			if os.path.abspath(self.vocab_file		) != os.path.abspath(_SCREAMING_SNAKE_CASE		) and os.path.isfile(self.vocab_file		):
					copyfile(self.vocab_file		, _SCREAMING_SNAKE_CASE		)
			elif not os.path.isfile(self.vocab_file		):
					with open(_SCREAMING_SNAKE_CASE		, '''wb'''		) as fi:
							lowerCAmelCase__       :      Any   					= self.sp_model.serialized_model_proto()
							fi.write(_SCREAMING_SNAKE_CASE		)

			return (out_vocab_file,)








# using dfs for finding eulerian path traversal






def 					lowerCamelCase_   (	_a     ,       _a     ,       _a     ,       _a=None	):




		"""simple docstring"""






		lowerCAmelCase__       :      Optional[Any]   					= (path or []) + [u]
		for v in graph[u]:
				if visited_edge[u][v] is False:
						lowerCAmelCase__					,     lowerCAmelCase__       :      List[Any]   					= True, True
						lowerCAmelCase__       :      Any   					= dfs(_a     ,       _a     ,       _a     ,       _a	)
		return path






def 					lowerCamelCase_   (	_a     ,       _a	):




		"""simple docstring"""






		lowerCAmelCase__       :      Union[str, Any]   					= 0
		lowerCAmelCase__       :      str   					= -1
		for i in range(_a	):
				if i not in graph.keys():
						continue
				if len(graph[i]	) % 2 == 1:
						odd_degree_nodes += 1
						lowerCAmelCase__       :      Tuple   					= i
		if odd_degree_nodes == 0:
				return 1, odd_node
		if odd_degree_nodes == 2:
				return 2, odd_node
		return 3, odd_node






def 					lowerCamelCase_   (	_a     ,       _a	):




		"""simple docstring"""






		lowerCAmelCase__       :      Optional[Any]   					= [[False for _ in range(max_node + 1	)] for _ in range(max_node + 1	)]
		lowerCAmelCase__					,     lowerCAmelCase__       :      Optional[int]   					= check_circuit_or_path(_a     ,       _a	)
		if check == 3:
				print('''graph is not Eulerian'''	)
				print('''no path'''	)
				return
		lowerCAmelCase__       :      Optional[int]   					= 1
		if check == 2:
				lowerCAmelCase__       :      Any   					= odd_node
				print('''graph has a Euler path'''	)
		if check == 1:
				print('''graph has a Euler cycle'''	)
		lowerCAmelCase__       :      Optional[int]   					= dfs(_a     ,       _a     ,       _a	)
		print(_a	)






def 					lowerCamelCase_   (	):




		"""simple docstring"""






		lowerCAmelCase__       :      List[str]   					= {1: [2, 3, 4], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [4]}
		lowerCAmelCase__       :      Tuple   					= {1: [2, 3, 4, 5], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [1, 4]}
		lowerCAmelCase__       :      str   					= {1: [2, 3, 4], 2: [1, 3, 4], 3: [1, 2], 4: [1, 2, 5], 5: [4]}
		lowerCAmelCase__       :      List[str]   					= {1: [2, 3], 2: [1, 3], 3: [1, 2]}
		lowerCAmelCase__       :      List[Any]   					= {
		    1: [],
		    2: []
		    # all degree is zero
		}
		lowerCAmelCase__       :      Optional[Any]   					= 10
		check_euler(_a     ,       _a	)
		check_euler(_a     ,       _a	)
		check_euler(_a     ,       _a	)
		check_euler(_a     ,       _a	)
		check_euler(_a     ,       _a	)


if __name__ == "__main__":
		main()




