






import json
import os
import re
import unicodedata
from typing import Dict, List, Optional, Tuple

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


lowerCAmelCase_     =			logging.get_logger(__name__)

lowerCAmelCase_     =			{
    "src_vocab_file": "vocab-src.json",
    "tgt_vocab_file": "vocab-tgt.json",
    "merges_file": "merges.txt",
}

lowerCAmelCase_     =			{
    "src_vocab_file": {
        "stas/tiny-wmt19-en-de": "https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-src.json"
    },
    "tgt_vocab_file": {
        "stas/tiny-wmt19-en-de": "https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-tgt.json"
    },
    "merges_file": {"stas/tiny-wmt19-en-de": "https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/merges.txt"},
}

lowerCAmelCase_     =			{"stas/tiny-wmt19-en-de": 1_024}
lowerCAmelCase_     =			{
    "stas/tiny-wmt19-en-de": {
        "langs": ["en", "de"],
        "model_max_length": 1_024,
        "special_tokens_map_file": None,
        "full_tokenizer_file": None,
    }
}







def   snake_case		(				UpperCAmelCase						:							List[Any] ):
				A									=   set()
				A									=   word[0]
				for char in word[1:]:
								pairs.add((prev_char, char) )
								A									=   char
				return pairs







def   snake_case		(				UpperCAmelCase						:							Optional[Any] ):
				A									=   text.replace('，',    ',' )
				A									=   re.sub(r'。\s*',    '. ',    lowerCAmelCase__ )
				A									=   text.replace('、',    ',' )
				A									=   text.replace('”',    '"' )
				A									=   text.replace('“',    '"' )
				A									=   text.replace('∶',    ':' )
				A									=   text.replace('：',    ':' )
				A									=   text.replace('？',    '?' )
				A									=   text.replace('《',    '"' )
				A									=   text.replace('》',    '"' )
				A									=   text.replace('）',    ')' )
				A									=   text.replace('！',    '!' )
				A									=   text.replace('（',    '(' )
				A									=   text.replace('；',    ';' )
				A									=   text.replace('１',    '1' )
				A									=   text.replace('」',    '"' )
				A									=   text.replace('「',    '"' )
				A									=   text.replace('０',    '0' )
				A									=   text.replace('３',    '3' )
				A									=   text.replace('２',    '2' )
				A									=   text.replace('５',    '5' )
				A									=   text.replace('６',    '6' )
				A									=   text.replace('９',    '9' )
				A									=   text.replace('７',    '7' )
				A									=   text.replace('８',    '8' )
				A									=   text.replace('４',    '4' )
				A									=   re.sub(r'．\s*',    '. ',    lowerCAmelCase__ )
				A									=   text.replace('～',    '~' )
				A									=   text.replace('’',    '\'' )
				A									=   text.replace('…',    '...' )
				A									=   text.replace('━',    '-' )
				A									=   text.replace('〈',    '<' )
				A									=   text.replace('〉',    '>' )
				A									=   text.replace('【',    '[' )
				A									=   text.replace('】',    ']' )
				A									=   text.replace('％',    '%' )
				return text







def   snake_case		(				UpperCAmelCase						:							List[Any] ):
				A									=   []
				for char in text:
								A									=   unicodedata.category(lowerCAmelCase__ )
								if cat.startswith('C' ):
												continue
								output.append(lowerCAmelCase__ )
				return "".join(lowerCAmelCase__ )



class   UpperCamelCase			(					SCREAMING_SNAKE_CASE__			):







		"""simple docstring"""



		snake_case			 = VOCAB_FILES_NAMES
		snake_case			 = PRETRAINED_VOCAB_FILES_MAP
		snake_case			 = PRETRAINED_INIT_CONFIGURATION
		snake_case			 = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		snake_case			 = ['''input_ids''', '''attention_mask''']
		def __init__(	self		:							List[Any]    ,_SCREAMING_SNAKE_CASE		:							Dict=None    ,_SCREAMING_SNAKE_CASE		:							Any=None    ,_SCREAMING_SNAKE_CASE		:							List[Any]=None    ,_SCREAMING_SNAKE_CASE		:							Optional[int]=None    ,_SCREAMING_SNAKE_CASE		:							str=False    ,_SCREAMING_SNAKE_CASE		:							str="<unk>"    ,_SCREAMING_SNAKE_CASE		:							Tuple="<s>"    ,_SCREAMING_SNAKE_CASE		:							int="</s>"    ,_SCREAMING_SNAKE_CASE		:							Optional[Any]="<pad>"    ,**_SCREAMING_SNAKE_CASE		:							Any    ,)     -> Optional[Any]:


						'''simple docstring'''
						super().__init__(
						    langs=A__    ,src_vocab_file=A__    ,tgt_vocab_file=A__    ,merges_file=A__    ,do_lower_case=A__    ,unk_token=A__    ,bos_token=A__    ,sep_token=A__    ,pad_token=A__    ,**A__    ,)

						try:
										import sacremoses
						except ImportError:
										raise ImportError(
										    'You need to install sacremoses to use XLMTokenizer. '
										    'See https://pypi.org/project/sacremoses/ for installation.'		)

						A									=   sacremoses

						A									=   src_vocab_file
						A									=   tgt_vocab_file
						A									=   merges_file
						A									=   do_lower_case

						# cache of sm.MosesPunctNormalizer instance
						A									=   {}
						# cache of sm.MosesTokenizer instance
						A									=   {}
						A									=   {}

						if langs and len(A__		) == 2:
										A			,		A									=   langs
						else:
										raise ValueError(
										    f'arg `langs` needs to be a list of 2 langs, e.g. [\'en\', \'ru\'], but got {langs}. '
										    'Usually that means that tokenizer can\'t find a mapping for the given model path '
										    'in PRETRAINED_VOCAB_FILES_MAP, and other maps of this tokenizer.'		)

						with open(A__    ,encoding='utf-8'		) as src_vocab_handle:
										A									=   json.load(A__		)
						with open(A__    ,encoding='utf-8'		) as tgt_vocab_handle:
										A									=   json.load(A__		)
										A									=   {v: k for k, v in tgt_vocab.items()}
						with open(A__    ,encoding='utf-8'		) as merges_handle:
										A									=   merges_handle.read().split('\n'		)[:-1]
						A									=   [tuple(merge.split()[:2]		) for merge in merges]
						A									=   dict(zip(A__    ,range(len(A__		)		)		)		)
						A									=   {}
		def    A(	self		:							Optional[Any]		)     -> Dict:


						'''simple docstring'''
						return self.get_src_vocab()
		@property
		def    A(	self		:							int		)     -> List[str]:


						'''simple docstring'''
						return self.src_vocab_size
		def    A(	self		:							str    ,_SCREAMING_SNAKE_CASE		:							str    ,_SCREAMING_SNAKE_CASE		:							List[str]		)     -> Dict:


						'''simple docstring'''
						if lang not in self.cache_moses_punct_normalizer:
										A									=   self.sm.MosesPunctNormalizer(lang=A__		)
										A									=   punct_normalizer
						return self.cache_moses_punct_normalizer[lang].normalize(A__		)
		def    A(	self		:							Any    ,_SCREAMING_SNAKE_CASE		:							Optional[Any]    ,_SCREAMING_SNAKE_CASE		:							List[Any]		)     -> str:


						'''simple docstring'''
						if lang not in self.cache_moses_tokenizer:
										A									=   self.sm.MosesTokenizer(lang=A__		)
										A									=   moses_tokenizer
						return self.cache_moses_tokenizer[lang].tokenize(
						    A__    ,aggressive_dash_splits=A__    ,return_str=A__    ,escape=A__		)
		def    A(	self		:							Dict    ,_SCREAMING_SNAKE_CASE		:							Dict    ,_SCREAMING_SNAKE_CASE		:							List[Any]		)     -> Optional[Any]:


						'''simple docstring'''
						if lang not in self.cache_moses_detokenizer:
										A									=   self.sm.MosesDetokenizer(lang=A__		)
										A									=   moses_detokenizer
						return self.cache_moses_detokenizer[lang].detokenize(A__		)
		def    A(	self		:							int    ,_SCREAMING_SNAKE_CASE		:							List[Any]    ,_SCREAMING_SNAKE_CASE		:							str		)     -> Dict:


						'''simple docstring'''
						A									=   replace_unicode_punct(A__		)
						A									=   self.moses_punct_norm(A__    ,A__		)
						A									=   remove_non_printing_char(A__		)
						return text
		@property
		def    A(	self		:							Optional[int]		)     -> Tuple:


						'''simple docstring'''
						return len(self.encoder		)
		@property
		def    A(	self		:							List[Any]		)     -> Any:


						'''simple docstring'''
						return len(self.decoder		)
		def    A(	self		:							Dict		)     -> int:


						'''simple docstring'''
						return dict(self.encoder    ,**self.added_tokens_encoder		)
		def    A(	self		:							List[str]		)     -> Any:


						'''simple docstring'''
						return dict(self.decoder    ,**self.added_tokens_decoder		)
		def    A(	self		:							Dict    ,_SCREAMING_SNAKE_CASE		:							List[str]		)     -> Any:


						'''simple docstring'''
						A									=   tuple(token[:-1]		) + (token[-1] + '</w>',)
						if token in self.cache:
										return self.cache[token]
						A									=   get_pairs(A__		)

						if not pairs:
										return token + "</w>"

						while True:
										A									=   min(A__    ,key=lambda _SCREAMING_SNAKE_CASE		: self.bpe_ranks.get(A__    ,float('inf'		)		)		)
										if bigram not in self.bpe_ranks:
														break
										A			,		A									=   bigram
										A									=   []
										A									=   0
										while i < len(A__		):
														try:
																		A									=   word.index(A__    ,A__		)
														except ValueError:
																		new_word.extend(word[i:]		)
																		break
														else:
																		new_word.extend(word[i:j]		)
																		A									=   j

														if word[i] == first and i < len(A__		) - 1 and word[i + 1] == second:
																		new_word.append(first + second		)
																		i += 2
														else:
																		new_word.append(word[i]		)
																		i += 1
										A									=   tuple(A__		)
										A									=   new_word
										if len(A__		) == 1:
														break
										else:
														A									=   get_pairs(A__		)
						A									=   ' '.join(A__		)
						if word == "\n  </w>":
										A									=   '\n</w>'
						A									=   word
						return word
		def    A(	self		:							List[str]    ,_SCREAMING_SNAKE_CASE		:							Tuple    ,_SCREAMING_SNAKE_CASE		:							str="en"    ,_SCREAMING_SNAKE_CASE		:							str=False		)     -> Any:


						'''simple docstring'''
						A									=   self.src_lang

						if self.do_lower_case:
										A									=   text.lower()

						if bypass_tokenizer:
										A									=   text.split()
						else:
										A									=   self.moses_pipeline(A__    ,lang=A__		)
										A									=   self.moses_tokenize(A__    ,lang=A__		)

						A									=   []
						for token in text:
										if token:
														split_tokens.extend(list(self.bpe(A__		).split(' '		)		)		)

						return split_tokens
		def    A(	self		:							Tuple    ,_SCREAMING_SNAKE_CASE		:							Tuple		)     -> Any:


						'''simple docstring'''
						return self.encoder.get(A__    ,self.encoder.get(self.unk_token		)		)
		def    A(	self		:							int    ,_SCREAMING_SNAKE_CASE		:							int		)     -> Any:


						'''simple docstring'''
						return self.decoder.get(A__    ,self.unk_token		)
		def    A(	self		:							Tuple    ,_SCREAMING_SNAKE_CASE		:							List[Any]		)     -> int:


						'''simple docstring'''
						A									=   [t.replace(' '    ,''		).replace('</w>'    ,' '		) for t in tokens]
						A									=   ''.join(A__		).split()
						# detokenize
						A									=   self.moses_detokenize(A__    ,self.tgt_lang		)
						return text
		def    A(	self		:							Optional[Any]    ,_SCREAMING_SNAKE_CASE		:							List[str]    ,_SCREAMING_SNAKE_CASE		:							int = None		)     -> List[str]:


						'''simple docstring'''
						A									=   [self.sep_token_id]

						# no bos used in fairseq
						if token_ids_a is None:
										return token_ids_a + sep
						return token_ids_a + sep + token_ids_a + sep
		def    A(	self		:							str    ,_SCREAMING_SNAKE_CASE		:							Any    ,_SCREAMING_SNAKE_CASE		:							int = None    ,_SCREAMING_SNAKE_CASE		:							Optional[Any] = False		)     -> str:


						'''simple docstring'''

						if already_has_special_tokens:
										return super().get_special_tokens_mask(
										    token_ids_a=A__    ,token_ids_a=A__    ,already_has_special_tokens=A__		)
						# no bos used in fairseq
						if token_ids_a is not None:
										return ([0] * len(A__		)) + [1] + ([0] * len(A__		)) + [1]
						return ([0] * len(A__		)) + [1]
		def    A(	self		:							Union[str, Any]    ,_SCREAMING_SNAKE_CASE		:							str    ,_SCREAMING_SNAKE_CASE		:							List[Any] = None		)     -> Dict:


						'''simple docstring'''
						A									=   [self.sep_token_id]

						# no bos used in fairseq
						if token_ids_a is None:
										return len(token_ids_a + sep		) * [0]
						return len(token_ids_a + sep		) * [0] + len(token_ids_a + sep		) * [1]
		def    A(	self		:							Any    ,_SCREAMING_SNAKE_CASE		:							Union[str, Any]    ,_SCREAMING_SNAKE_CASE		:							Dict = None		)     -> Any:


						'''simple docstring'''
						if not os.path.isdir(A__		):
										logger.error(f'Vocabulary path ({save_directory}) should be a directory'		)
										return

						A									=   os.path.join(
						    A__    ,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['src_vocab_file']		)
						A									=   os.path.join(
						    A__    ,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['tgt_vocab_file']		)
						A									=   os.path.join(
						    A__    ,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']		)

						with open(A__    ,'w'    ,encoding='utf-8'		) as f:
										f.write(json.dumps(self.encoder    ,indent=2    ,sort_keys=A__    ,ensure_ascii=A__		) + '\n'		)

						with open(A__    ,'w'    ,encoding='utf-8'		) as f:
										A									=   {v: k for k, v in self.decoder.items()}
										f.write(json.dumps(A__    ,indent=2    ,sort_keys=A__    ,ensure_ascii=A__		) + '\n'		)

						A									=   0
						with open(A__    ,'w'    ,encoding='utf-8'		) as writer:
										for bpe_tokens, token_index in sorted(self.bpe_ranks.items()    ,key=lambda _SCREAMING_SNAKE_CASE		: kv[1]		):
														if index != token_index:
																		logger.warning(
																		    f'Saving vocabulary to {merges_file}: BPE merge indices are not consecutive.'
																		    ' Please check that the tokenizer is not corrupted!'		)
																		A									=   token_index
														writer.write(' '.join(A__		) + '\n'		)
														index += 1

						return src_vocab_file, tgt_vocab_file, merges_file
		def __getstate__(	self		:							Optional[int]		)     -> str:


						'''simple docstring'''
						A									=   self.__dict__.copy()
						A									=   None
						return state







		def __setstate__(	self		:							Tuple    ,_SCREAMING_SNAKE_CASE		:							Tuple		)     -> Any:


						'''simple docstring'''
						A									=   d

						try:
										import sacremoses
						except ImportError:
										raise ImportError(
										    'You need to install sacremoses to use XLMTokenizer. '
										    'See https://pypi.org/project/sacremoses/ for installation.'		)

						A									=   sacremoses







import json
import os
import re
import unicodedata
from typing import Dict, List, Optional, Tuple

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


lowercase__						:Tuple					    =       logging.get_logger(__name__)

lowercase__						:List[str]					    =       {
    "src_vocab_file": "vocab-src.json",
    "tgt_vocab_file": "vocab-tgt.json",
    "merges_file": "merges.txt",
}

lowercase__						:List[str]					    =       {
    "src_vocab_file": {
        "stas/tiny-wmt19-en-de": "https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-src.json"
    },
    "tgt_vocab_file": {
        "stas/tiny-wmt19-en-de": "https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-tgt.json"
    },
    "merges_file": {"stas/tiny-wmt19-en-de": "https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/merges.txt"},
}

lowercase__						:Dict					    =       {"stas/tiny-wmt19-en-de": 1024}
lowercase__						:str					    =       {
    "stas/tiny-wmt19-en-de": {
        "langs": ["en", "de"],
        "model_max_length": 1024,
        "special_tokens_map_file": None,
        "full_tokenizer_file": None,
    }
}



def 			UpperCamelCase       (				lowerCAmelCase__						):
					'''simple docstring'''
					lowercase		      =		set()
					lowercase		      =		word[0]
					for char in word[1:]:
										pairs.add((prev_char, char)						)
										lowercase		      =		char
					return pairs



def 			UpperCamelCase       (				lowerCAmelCase__						):
					'''simple docstring'''
					lowercase		      =		text.replace('''，'''					,     ''','''						)
					lowercase		      =		re.sub(R'''。\s*'''					,     '''. '''					,     lowerCAmelCase__						)
					lowercase		      =		text.replace('''、'''					,     ''','''						)
					lowercase		      =		text.replace('''”'''					,     '''"'''						)
					lowercase		      =		text.replace('''“'''					,     '''"'''						)
					lowercase		      =		text.replace('''∶'''					,     ''':'''						)
					lowercase		      =		text.replace('''：'''					,     ''':'''						)
					lowercase		      =		text.replace('''？'''					,     '''?'''						)
					lowercase		      =		text.replace('''《'''					,     '''"'''						)
					lowercase		      =		text.replace('''》'''					,     '''"'''						)
					lowercase		      =		text.replace('''）'''					,     ''')'''						)
					lowercase		      =		text.replace('''！'''					,     '''!'''						)
					lowercase		      =		text.replace('''（'''					,     '''('''						)
					lowercase		      =		text.replace('''；'''					,     ''';'''						)
					lowercase		      =		text.replace('''１'''					,     '''1'''						)
					lowercase		      =		text.replace('''」'''					,     '''"'''						)
					lowercase		      =		text.replace('''「'''					,     '''"'''						)
					lowercase		      =		text.replace('''０'''					,     '''0'''						)
					lowercase		      =		text.replace('''３'''					,     '''3'''						)
					lowercase		      =		text.replace('''２'''					,     '''2'''						)
					lowercase		      =		text.replace('''５'''					,     '''5'''						)
					lowercase		      =		text.replace('''６'''					,     '''6'''						)
					lowercase		      =		text.replace('''９'''					,     '''9'''						)
					lowercase		      =		text.replace('''７'''					,     '''7'''						)
					lowercase		      =		text.replace('''８'''					,     '''8'''						)
					lowercase		      =		text.replace('''４'''					,     '''4'''						)
					lowercase		      =		re.sub(R'''．\s*'''					,     '''. '''					,     lowerCAmelCase__						)
					lowercase		      =		text.replace('''～'''					,     '''~'''						)
					lowercase		      =		text.replace('''’'''					,     '''\''''						)
					lowercase		      =		text.replace('''…'''					,     '''...'''						)
					lowercase		      =		text.replace('''━'''					,     '''-'''						)
					lowercase		      =		text.replace('''〈'''					,     '''<'''						)
					lowercase		      =		text.replace('''〉'''					,     '''>'''						)
					lowercase		      =		text.replace('''【'''					,     '''['''						)
					lowercase		      =		text.replace('''】'''					,     ''']'''						)
					lowercase		      =		text.replace('''％'''					,     '''%'''						)
					return text



def 			UpperCamelCase       (				lowerCAmelCase__						):
					'''simple docstring'''
					lowercase		      =		[]
					for char in text:
										lowercase		      =		unicodedata.category(lowerCAmelCase__						)
										if cat.startswith('''C'''						):
															continue
										output.append(lowerCAmelCase__						)
					return "".join(lowerCAmelCase__						)







class 							lowercase						(   SCREAMING_SNAKE_CASE__						):
							lowercase_			:			Any			   =VOCAB_FILES_NAMES
							lowercase_			:			List[str]			   =PRETRAINED_VOCAB_FILES_MAP
							lowercase_			:			Any			   =PRETRAINED_INIT_CONFIGURATION
							lowercase_			:			List[str]			   =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase_			:			Optional[Any]			   =['''input_ids''', '''attention_mask''']




							def __init__(							self  ,A__=None  ,A__=None  ,A__=None  ,A__=None  ,A__=False  ,A__="<unk>"  ,A__="<s>"  ,A__="</s>"  ,A__="<pad>"  ,**A__  ,):
												super().__init__(
												    langs=A__  ,src_vocab_file=A__  ,tgt_vocab_file=A__  ,merges_file=A__  ,do_lower_case=A__  ,unk_token=A__  ,bos_token=A__  ,sep_token=A__  ,pad_token=A__  ,**A__  ,)

												try:
																	import sacremoses
												except ImportError:
																	raise ImportError(
																	    '''You need to install sacremoses to use XLMTokenizer. '''
																	    '''See https://pypi.org/project/sacremoses/ for installation.''')

												lowercase		      =		sacremoses

												lowercase		      =		src_vocab_file
												lowercase		      =		tgt_vocab_file
												lowercase		      =		merges_file
												lowercase		      =		do_lower_case

												# cache of sm.MosesPunctNormalizer instance
												lowercase		      =		{}
												# cache of sm.MosesTokenizer instance
												lowercase		      =		{}
												lowercase		      =		{}

												if langs and len(A__) == 2:
																	lowercase      ,		lowercase		      =		langs
												else:
																	raise ValueError(
																	    f'arg `langs` needs to be a list of 2 langs, e.g. [\'en\', \'ru\'], but got {langs}. '
																	    '''Usually that means that tokenizer can\'t find a mapping for the given model path '''
																	    '''in PRETRAINED_VOCAB_FILES_MAP, and other maps of this tokenizer.''')

												with open(A__  ,encoding='''utf-8''') as src_vocab_handle:
																	lowercase		      =		json.load(A__)
												with open(A__  ,encoding='''utf-8''') as tgt_vocab_handle:
																	lowercase		      =		json.load(A__)
																	lowercase		      =		{v: k for k, v in tgt_vocab.items()}
												with open(A__  ,encoding='''utf-8''') as merges_handle:
																	lowercase		      =		merges_handle.read().split('''\n''')[:-1]
												lowercase		      =		[tuple(merge.split()[:2]) for merge in merges]
												lowercase		      =		dict(zip(A__  ,range(len(A__))))
												lowercase		      =		{}




							def 					A__ (							self):
												return self.get_src_vocab()




							@property
							def 					A__ (							self):
												return self.src_vocab_size




							def 					A__ (							self  ,A__  ,A__):
												if lang not in self.cache_moses_punct_normalizer:
																	lowercase		      =		self.sm.MosesPunctNormalizer(lang=A__)
																	lowercase		      =		punct_normalizer
												return self.cache_moses_punct_normalizer[lang].normalize(A__)




							def 					A__ (							self  ,A__  ,A__):
												if lang not in self.cache_moses_tokenizer:
																	lowercase		      =		self.sm.MosesTokenizer(lang=A__)
																	lowercase		      =		moses_tokenizer
												return self.cache_moses_tokenizer[lang].tokenize(
												    A__  ,aggressive_dash_splits=A__  ,return_str=A__  ,escape=A__)




							def 					A__ (							self  ,A__  ,A__):
												if lang not in self.cache_moses_detokenizer:
																	lowercase		      =		self.sm.MosesDetokenizer(lang=A__)
																	lowercase		      =		moses_detokenizer
												return self.cache_moses_detokenizer[lang].detokenize(A__)




							def 					A__ (							self  ,A__  ,A__):
												lowercase		      =		replace_unicode_punct(A__)
												lowercase		      =		self.moses_punct_norm(A__  ,A__)
												lowercase		      =		remove_non_printing_char(A__)
												return text




							@property
							def 					A__ (							self):
												return len(self.encoder)




							@property
							def 					A__ (							self):
												return len(self.decoder)




							def 					A__ (							self):
												return dict(self.encoder  ,**self.added_tokens_encoder)




							def 					A__ (							self):
												return dict(self.decoder  ,**self.added_tokens_decoder)




							def 					A__ (							self  ,A__):
												lowercase		      =		tuple(token[:-1]) + (token[-1] + '''</w>''',)
												if token in self.cache:
																	return self.cache[token]
												lowercase		      =		get_pairs(A__)

												if not pairs:
																	return token + "</w>"

												while True:
																	lowercase		      =		min(A__  ,key=lambda A__: self.bpe_ranks.get(A__  ,float('''inf''')))
																	if bigram not in self.bpe_ranks:
																						break
																	lowercase      ,		lowercase		      =		bigram
																	lowercase		      =		[]
																	lowercase		      =		0
																	while i < len(A__):
																						try:
																											lowercase		      =		word.index(A__  ,A__)
																						except ValueError:
																											new_word.extend(word[i:])
																											break
																						else:
																											new_word.extend(word[i:j])
																											lowercase		      =		j

																						if word[i] == first and i < len(A__) - 1 and word[i + 1] == second:
																											new_word.append(first + second)
																											i += 2
																						else:
																											new_word.append(word[i])
																											i += 1
																	lowercase		      =		tuple(A__)
																	lowercase		      =		new_word
																	if len(A__) == 1:
																						break
																	else:
																						lowercase		      =		get_pairs(A__)
												lowercase		      =		''' '''.join(A__)
												if word == "\n  </w>":
																	lowercase		      =		'''\n</w>'''
												lowercase		      =		word
												return word




							def 					A__ (							self  ,A__  ,A__="en"  ,A__=False):
												lowercase		      =		self.src_lang

												if self.do_lower_case:
																	lowercase		      =		text.lower()

												if bypass_tokenizer:
																	lowercase		      =		text.split()
												else:
																	lowercase		      =		self.moses_pipeline(A__  ,lang=A__)
																	lowercase		      =		self.moses_tokenize(A__  ,lang=A__)

												lowercase		      =		[]
												for token in text:
																	if token:
																						split_tokens.extend(list(self.bpe(A__).split(''' ''')))

												return split_tokens




							def 					A__ (							self  ,A__):
												return self.encoder.get(A__  ,self.encoder.get(self.unk_token))




							def 					A__ (							self  ,A__):
												return self.decoder.get(A__  ,self.unk_token)




							def 					A__ (							self  ,A__):
												lowercase		      =		[t.replace(''' '''  ,'''''').replace('''</w>'''  ,''' ''') for t in tokens]
												lowercase		      =		''''''.join(A__).split()
												# detokenize
												lowercase		      =		self.moses_detokenize(A__  ,self.tgt_lang)
												return text




							def 					A__ (							self  ,A__  ,A__ = None):
												lowercase		      =		[self.sep_token_id]

												# no bos used in fairseq
												if token_ids_a is None:
																	return token_ids_a + sep
												return token_ids_a + sep + token_ids_a + sep




							def 					A__ (							self  ,A__  ,A__ = None  ,A__ = False):

												if already_has_special_tokens:
																	return super().get_special_tokens_mask(
																	    token_ids_a=A__  ,token_ids_a=A__  ,already_has_special_tokens=A__)
												# no bos used in fairseq
												if token_ids_a is not None:
																	return ([0] * len(A__)) + [1] + ([0] * len(A__)) + [1]
												return ([0] * len(A__)) + [1]




							def 					A__ (							self  ,A__  ,A__ = None):
												lowercase		      =		[self.sep_token_id]

												# no bos used in fairseq
												if token_ids_a is None:
																	return len(token_ids_a + sep) * [0]
												return len(token_ids_a + sep) * [0] + len(token_ids_a + sep) * [1]




							def 					A__ (							self  ,A__  ,A__ = None):
												if not os.path.isdir(A__):
																	logger.error(f'Vocabulary path ({save_directory}) should be a directory')
																	return

												lowercase		      =		os.path.join(
												    A__  ,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''src_vocab_file'''])
												lowercase		      =		os.path.join(
												    A__  ,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''tgt_vocab_file'''])
												lowercase		      =		os.path.join(
												    A__  ,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file'''])

												with open(A__  ,'''w'''  ,encoding='''utf-8''') as f:
																	f.write(json.dumps(self.encoder  ,indent=2  ,sort_keys=A__  ,ensure_ascii=A__) + '''\n''')

												with open(A__  ,'''w'''  ,encoding='''utf-8''') as f:
																	lowercase		      =		{v: k for k, v in self.decoder.items()}
																	f.write(json.dumps(A__  ,indent=2  ,sort_keys=A__  ,ensure_ascii=A__) + '''\n''')

												lowercase		      =		0
												with open(A__  ,'''w'''  ,encoding='''utf-8''') as writer:
																	for bpe_tokens, token_index in sorted(self.bpe_ranks.items()  ,key=lambda A__: kv[1]):
																						if index != token_index:
																											logger.warning(
																											    f'Saving vocabulary to {merges_file}: BPE merge indices are not consecutive.'
																											    ''' Please check that the tokenizer is not corrupted!''')
																											lowercase		      =		token_index
																						writer.write(''' '''.join(A__) + '''\n''')
																						index += 1

												return src_vocab_file, tgt_vocab_file, merges_file




							def __getstate__(							self):
												lowercase		      =		self.__dict__.copy()
												lowercase		      =		None
												return state





							def __setstate__(							self  ,A__):
												lowercase		      =		d

												try:
																	import sacremoses
												except ImportError:
																	raise ImportError(
																	    '''You need to install sacremoses to use XLMTokenizer. '''
																	    '''See https://pypi.org/project/sacremoses/ for installation.''')

												lowercase		      =		sacremoses




