





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

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


_UpperCAmelCase										=					logging.get_logger(__name__)

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

_UpperCAmelCase										=					{
    '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'},
}

_UpperCAmelCase										=					{'stas/tiny-wmt19-en-de': 1_0_2_4}
_UpperCAmelCase										=					{
    'stas/tiny-wmt19-en-de': {
        'langs': ['en', 'de'],
        'model_max_length': 1_0_2_4,
        'special_tokens_map_file': None,
        'full_tokenizer_file': None,
    }
}




def 			lowerCAmelCase_			(				UpperCamelCase_	)  ->		Any:
       UpperCamelCase_ 							=	set()
       UpperCamelCase_ 							=	word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)	)
              UpperCamelCase_ 							=	char
       return pairs




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




def 			lowerCAmelCase_			(				UpperCamelCase_	)  ->		int:
       UpperCamelCase_ 							=	[]
       for char in text:
              UpperCamelCase_ 							=	unicodedata.category(UpperCamelCase_	)
              if cat.startswith("C"	):
                     continue
              output.append(UpperCamelCase_	)
       return "".join(UpperCamelCase_	)







class 				_UpperCamelCase       (						lowerCAmelCase_  ):
       _UpperCamelCase					:       Optional[int]       = VOCAB_FILES_NAMES
       _UpperCamelCase					:       Union[str, Any]       = PRETRAINED_VOCAB_FILES_MAP
       _UpperCamelCase					:       Dict       = PRETRAINED_INIT_CONFIGURATION
       _UpperCamelCase					:       Tuple       = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       _UpperCamelCase					:       Optional[Any]       = ['''input_ids''', '''attention_mask''']

       def __init__(		self:			Optional[int]       , _SCREAMING_SNAKE_CASE:			List[Any]=None       , _SCREAMING_SNAKE_CASE:			int=None       , _SCREAMING_SNAKE_CASE:			int=None       , _SCREAMING_SNAKE_CASE:			List[Any]=None       , _SCREAMING_SNAKE_CASE:			Optional[int]=False       , _SCREAMING_SNAKE_CASE:			Optional[int]="<unk>"       , _SCREAMING_SNAKE_CASE:			Any="<s>"       , _SCREAMING_SNAKE_CASE:			List[Any]="</s>"       , _SCREAMING_SNAKE_CASE:			Dict="<pad>"       , **_SCREAMING_SNAKE_CASE:			Any       , )							->			Dict:




              """simple docstring"""


              super().__init__(
                  langs=_SCREAMING_SNAKE_CASE       , src_vocab_file=_SCREAMING_SNAKE_CASE       , tgt_vocab_file=_SCREAMING_SNAKE_CASE       , merges_file=_SCREAMING_SNAKE_CASE       , do_lower_case=_SCREAMING_SNAKE_CASE       , unk_token=_SCREAMING_SNAKE_CASE       , bos_token=_SCREAMING_SNAKE_CASE       , sep_token=_SCREAMING_SNAKE_CASE       , pad_token=_SCREAMING_SNAKE_CASE       , **_SCREAMING_SNAKE_CASE       , )

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

              UpperCamelCase_ 							=	sacremoses

              UpperCamelCase_ 							=	src_vocab_file
              UpperCamelCase_ 							=	tgt_vocab_file
              UpperCamelCase_ 							=	merges_file
              UpperCamelCase_ 							=	do_lower_case

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

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

       def lowercase			(		self:			Dict		)							->			Dict[str, int]:




              """simple docstring"""


              return self.get_src_vocab()

       @property
       def lowercase			(		self:			Dict		)							->			int:




              """simple docstring"""


              return self.src_vocab_size

       def lowercase			(		self:			List[Any]       , _SCREAMING_SNAKE_CASE:			Optional[Any]       , _SCREAMING_SNAKE_CASE:			Dict		)							->			Union[str, Any]:




              """simple docstring"""


              if lang not in self.cache_moses_punct_normalizer:
                     UpperCamelCase_ 							=	self.sm.MosesPunctNormalizer(lang=_SCREAMING_SNAKE_CASE		)
                     UpperCamelCase_ 							=	punct_normalizer
              return self.cache_moses_punct_normalizer[lang].normalize(_SCREAMING_SNAKE_CASE		)

       def lowercase			(		self:			Union[str, Any]       , _SCREAMING_SNAKE_CASE:			Dict       , _SCREAMING_SNAKE_CASE:			Optional[Any]		)							->			Optional[Any]:




              """simple docstring"""


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

       def lowercase			(		self:			Union[str, Any]       , _SCREAMING_SNAKE_CASE:			Union[str, Any]       , _SCREAMING_SNAKE_CASE:			Optional[int]		)							->			Union[str, Any]:




              """simple docstring"""


              if lang not in self.cache_moses_detokenizer:
                     UpperCamelCase_ 							=	self.sm.MosesDetokenizer(lang=_SCREAMING_SNAKE_CASE		)
                     UpperCamelCase_ 							=	moses_detokenizer
              return self.cache_moses_detokenizer[lang].detokenize(_SCREAMING_SNAKE_CASE		)

       def lowercase			(		self:			List[str]       , _SCREAMING_SNAKE_CASE:			int       , _SCREAMING_SNAKE_CASE:			str		)							->			Union[str, Any]:




              """simple docstring"""


              UpperCamelCase_ 							=	replace_unicode_punct(_SCREAMING_SNAKE_CASE		)
              UpperCamelCase_ 							=	self.moses_punct_norm(_SCREAMING_SNAKE_CASE       , _SCREAMING_SNAKE_CASE		)
              UpperCamelCase_ 							=	remove_non_printing_char(_SCREAMING_SNAKE_CASE		)
              return text

       @property
       def lowercase			(		self:			List[Any]		)							->			int:




              """simple docstring"""


              return len(self.encoder		)

       @property
       def lowercase			(		self:			List[str]		)							->			Optional[int]:




              """simple docstring"""


              return len(self.decoder		)

       def lowercase			(		self:			Tuple		)							->			List[str]:




              """simple docstring"""


              return dict(self.encoder       , **self.added_tokens_encoder		)

       def lowercase			(		self:			int		)							->			Optional[Any]:




              """simple docstring"""


              return dict(self.decoder       , **self.added_tokens_decoder		)

       def lowercase			(		self:			str       , _SCREAMING_SNAKE_CASE:			Optional[int]		)							->			Optional[int]:




              """simple docstring"""


              UpperCamelCase_ 							=	tuple(token[:-1]		) + (token[-1] + "</w>",)
              if token in self.cache:
                     return self.cache[token]
              UpperCamelCase_ 							=	get_pairs(_SCREAMING_SNAKE_CASE		)

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

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

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

       def lowercase			(		self:			Any       , _SCREAMING_SNAKE_CASE:			Any       , _SCREAMING_SNAKE_CASE:			int="en"       , _SCREAMING_SNAKE_CASE:			Tuple=False		)							->			Dict:




              """simple docstring"""


              UpperCamelCase_ 							=	self.src_lang

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

              if bypass_tokenizer:
                     UpperCamelCase_ 							=	text.split()
              else:
                     UpperCamelCase_ 							=	self.moses_pipeline(_SCREAMING_SNAKE_CASE       , lang=_SCREAMING_SNAKE_CASE		)
                     UpperCamelCase_ 							=	self.moses_tokenize(_SCREAMING_SNAKE_CASE       , lang=_SCREAMING_SNAKE_CASE		)

              UpperCamelCase_ 							=	[]
              for token in text:
                     if token:
                            split_tokens.extend(list(self.bpe(_SCREAMING_SNAKE_CASE		).split(" "		)		)		)

              return split_tokens

       def lowercase			(		self:			List[Any]       , _SCREAMING_SNAKE_CASE:			str		)							->			int:




              """simple docstring"""


              return self.encoder.get(_SCREAMING_SNAKE_CASE       , self.encoder.get(self.unk_token		)		)

       def lowercase			(		self:			Union[str, Any]       , _SCREAMING_SNAKE_CASE:			Dict		)							->			int:




              """simple docstring"""


              return self.decoder.get(_SCREAMING_SNAKE_CASE       , self.unk_token		)

       def lowercase			(		self:			Dict       , _SCREAMING_SNAKE_CASE:			Optional[int]		)							->			Dict:




              """simple docstring"""


              UpperCamelCase_ 							=	[t.replace(" "       , ""		).replace("</w>"       , " "		) for t in tokens]
              UpperCamelCase_ 							=	"".join(_SCREAMING_SNAKE_CASE		).split()
              # detokenize
              UpperCamelCase_ 							=	self.moses_detokenize(_SCREAMING_SNAKE_CASE       , self.tgt_lang		)
              return text

       def lowercase			(		self:			Union[str, Any]       , _SCREAMING_SNAKE_CASE:			List[int]       , _SCREAMING_SNAKE_CASE:			Optional[List[int]] = None		)							->			List[int]:




              """simple docstring"""


              UpperCamelCase_ 							=	[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 lowercase			(		self:			List[str]       , _SCREAMING_SNAKE_CASE:			List[int]       , _SCREAMING_SNAKE_CASE:			Optional[List[int]] = None       , _SCREAMING_SNAKE_CASE:			bool = False		)							->			List[int]:




              """simple docstring"""


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

       def lowercase			(		self:			Optional[Any]       , _SCREAMING_SNAKE_CASE:			List[int]       , _SCREAMING_SNAKE_CASE:			Optional[List[int]] = None		)							->			List[int]:




              """simple docstring"""


              UpperCamelCase_ 							=	[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 lowercase			(		self:			Union[str, Any]       , _SCREAMING_SNAKE_CASE:			str       , _SCREAMING_SNAKE_CASE:			Optional[str] = None		)							->			Tuple[str]:




              """simple docstring"""


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

              UpperCamelCase_ 							=	os.path.join(
                  _SCREAMING_SNAKE_CASE       , (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["src_vocab_file"]		)
              UpperCamelCase_ 							=	os.path.join(
                  _SCREAMING_SNAKE_CASE       , (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["tgt_vocab_file"]		)
              UpperCamelCase_ 							=	os.path.join(
                  _SCREAMING_SNAKE_CASE       , (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]		)

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

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

              UpperCamelCase_ 							=	0
              with open(_SCREAMING_SNAKE_CASE       , "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!"		)
                                   UpperCamelCase_ 							=	token_index
                            writer.write(" ".join(_SCREAMING_SNAKE_CASE		) + "\n"		)
                            index += 1

              return src_vocab_file, tgt_vocab_file, merges_file

       def __getstate__(		self:			str		)							->			str:




              """simple docstring"""


              UpperCamelCase_ 							=	self.__dict__.copy()
              UpperCamelCase_ 							=	None
              return state



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




              """simple docstring"""


              UpperCamelCase_ 							=	d

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

              UpperCamelCase_ 							=	sacremoses






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_speech_available,
    is_torch_available,
)


lowerCAmelCase					:				Optional[int]   	={
    'configuration_speech_to_text_2': ['SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP', 'Speech2Text2Config'],
    'processing_speech_to_text_2': ['Speech2Text2Processor'],
    'tokenization_speech_to_text_2': ['Speech2Text2Tokenizer'],
}


try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCAmelCase					:				int   	=[
		    'SPEECH_TO_TEXT_2_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'Speech2Text2ForCausalLM',
		    'Speech2Text2PreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_speech_to_text_a import SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP, SpeechaTextaConfig
		from .processing_speech_to_text_a import SpeechaTextaProcessor
		from .tokenization_speech_to_text_a import SpeechaTextaTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_speech_to_text_a import (
				    SPEECH_TO_TEXT_2_PRETRAINED_MODEL_ARCHIVE_LIST,
				    SpeechaTextaForCausalLM,
				    SpeechaTextaPreTrainedModel,
				)

else:
		import sys

		lowerCAmelCase					:				Union[str, Any]   	=_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

