



"""simple docstring"""







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

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


lowerCAmelCase_   						=   logging.get_logger(__name__)


lowerCAmelCase_   						=   {
    'vocab_file': 'vocab.json',
    'tokenizer_config_file': 'tokenizer_config.json',
    'merges_file': 'merges.txt',
}

lowerCAmelCase_   						=   {
    'vocab_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json'
        ),
    },
    'tokenizer_config_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json'
        ),
    },
    'merges_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt'
        ),
    },
}

lowerCAmelCase_   						=   '</w>'
lowerCAmelCase_   						=   '@@ '



def      __UpperCAmelCase      (    __lowerCamelCase	)							->      Optional[Any]:
		lowercase__   :    Any				=			set()
		lowercase__   :    Any				=			word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)	)
				lowercase__   :    Any				=			char
		return pairs


# Speech2Text2 has no max input length
lowerCAmelCase_   						=   {'facebook/s2t-wav2vec2-large-en-de': 1_024}





class        __A       (	A_    ):







		'''simple docstring'''





		lowerCAmelCase			:					Optional[Any]   	=				VOCAB_FILES_NAMES
		lowerCAmelCase			:					Tuple   	=				PRETRAINED_VOCAB_FILES_MAP
		lowerCAmelCase			:					List[Any]   	=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		lowerCAmelCase			:					Optional[int]   	=				["input_ids", "attention_mask"]







		def __init__(	self						:  int			,_snake_case						:  Union[str, Any]			,_snake_case						:  str="<s>"			,_snake_case						:  List[Any]="<pad>"			,_snake_case						:  int="</s>"			,_snake_case						:  str="<unk>"			,_snake_case						:  str=False			,_snake_case						:  List[Any]=None			,**_snake_case						:  Tuple			,)					->		int:






				"""simple docstring"""



				super().__init__(
				    unk_token=_snake_case			,bos_token=_snake_case			,eos_token=_snake_case			,pad_token=_snake_case			,do_lower_case=_snake_case			,**_snake_case			,)

				lowercase__   :    Optional[int]				=			do_lower_case

				with open(_snake_case			,encoding='''utf-8'''						) as vocab_handle:
						lowercase__   :    List[str]				=			json.load(_snake_case						)
				lowercase__   :    Tuple				=			{v: k for k, v in self.encoder.items()}

				if merges_file is None:
						logger.info(f"""No merges files provided. {self.__class__.__name__} can only be used for decoding."""						)

						lowercase__   :    Union[str, Any]				=			None
						lowercase__   :    int				=			None
				else:
						with open(_snake_case			,encoding='''utf-8'''						) as merges_handle:
								lowercase__   :    Tuple				=			merges_handle.read().split('''\n'''						)[:-1]

						lowercase__   :    Optional[int]				=			[tuple(merge.split()[:2]						) for merge in merges]
						lowercase__   :    Tuple				=			dict(zip(_snake_case			,range(len(_snake_case						)						)						)						)
						lowercase__   :    Any				=			{}







		@property
		def 					UpperCAmelCase    (	self						:  Optional[int]						)					->		int:






				"""simple docstring"""



				return len(self.decoder						)







		def 					UpperCAmelCase    (	self						:  Dict						)					->		Dict:






				"""simple docstring"""



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







		def 					UpperCAmelCase    (	self						:  Optional[Any]			,_snake_case						:  Union[str, Any]						)					->		Optional[int]:






				"""simple docstring"""



				lowercase__   :    Union[str, Any]				=			tuple(token[:-1]						) + (token[-1] + BPE_TOKEN_MERGES,)
				if token in self.cache:
						return self.cache[token]
				lowercase__   :    List[str]				=			get_pairs(_snake_case						)

				if not pairs:
						return token

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

								if word[i] == first and i < len(_snake_case						) - 1 and word[i + 1] == second:
										new_word.append(first + second						)
										i += 2
								else:
										new_word.append(word[i]						)
										i += 1
						lowercase__   :    List[Any]				=			tuple(_snake_case						)
						lowercase__   :    Dict				=			new_word
						if len(_snake_case						) == 1:
								break
						else:
								lowercase__   :    List[Any]				=			get_pairs(_snake_case						)
				lowercase__   :    Optional[Any]				=			''' '''.join(_snake_case						)
				if word == "\n  " + BPE_TOKEN_MERGES:
						lowercase__   :    Union[str, Any]				=			'''\n''' + BPE_TOKEN_MERGES

				if word.endswith(_snake_case						):
						lowercase__   :    Optional[int]				=			word.replace(_snake_case			,''''''						)

				lowercase__   :    Union[str, Any]				=			word.replace(''' '''			,_snake_case						)
				lowercase__   :    Optional[Any]				=			word
				return word







		def 					UpperCAmelCase    (	self						:  Optional[int]			,_snake_case						:  Dict						)					->		Optional[int]:






				"""simple docstring"""



				if self.bpe_ranks is None:
						raise ValueError(
						    '''This tokenizer was instantiated without a `merges.txt` file, so'''
						    ''' that it can only be used for decoding, not for encoding.'''
						    '''Make sure to provide `merges.txt` file at instantiation to enable '''
						    '''encoding.'''						)

				if self.do_lower_case:
						lowercase__   :    Tuple				=			text.lower()

				lowercase__   :    Optional[Any]				=			text.split()

				lowercase__   :    Dict				=			[]
				for token in text:
						if token:
								split_tokens.extend(list(self.bpe(_snake_case						).split(''' '''						)						)						)

				return split_tokens







		def 					UpperCAmelCase    (	self						:  Optional[Any]			,_snake_case						:  str						)					->		int:






				"""simple docstring"""



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







		def 					UpperCAmelCase    (	self						:  Dict			,_snake_case						:  int						)					->		str:






				"""simple docstring"""



				lowercase__   :    List[Any]				=			self.decoder.get(_snake_case			,self.unk_token						)
				return result







		def 					UpperCAmelCase    (	self						:  Union[str, Any]			,_snake_case						:  List[str]						)					->		str:






				"""simple docstring"""



				lowercase__   :    Optional[int]				=			''' '''.join(_snake_case						)

				# make sure @@ tokens are concatenated
				lowercase__   :    Tuple				=			''''''.join(string.split(_snake_case						)						)

				return string







		def 					UpperCAmelCase    (	self						:  str			,_snake_case						:  str			,_snake_case						:  Optional[str] = None						)					->		Tuple[str]:






				"""simple docstring"""



				if not os.path.isdir(_snake_case						):
						logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""						)
						return
				lowercase__   :    str				=			os.path.join(
				    _snake_case			,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']						)
				lowercase__   :    int				=			os.path.join(
				    _snake_case			,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']						)

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

				lowercase__   :    List[str]				=			0
				if self.bpe_ranks is None:
						return (vocab_file,)

				with open(_snake_case			,'''w'''			,encoding='''utf-8'''						) as writer:
						for bpe_tokens, token_index in sorted(self.bpe_ranks.items()			,key=lambda _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!'''						)
										lowercase__   :    Tuple				=			token_index
								writer.write(''' '''.join(_snake_case						) + '''\n'''						)
								index += 1

				return (vocab_file, merges_file)





"""simple docstring"""







from typing import TYPE_CHECKING

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


lowerCAmelCase_   						=   {
    'configuration_speecht5': [
        'SPEECHT5_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'SPEECHT5_PRETRAINED_HIFIGAN_CONFIG_ARCHIVE_MAP',
        'SpeechT5Config',
        'SpeechT5HifiGanConfig',
    ],
    'feature_extraction_speecht5': ['SpeechT5FeatureExtractor'],
    'processing_speecht5': ['SpeechT5Processor'],
}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_   						=   ['SpeechT5Tokenizer']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_   						=   [
							    'SPEECHT5_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'SpeechT5ForSpeechToText',
							    'SpeechT5ForSpeechToSpeech',
							    'SpeechT5ForTextToSpeech',
							    'SpeechT5Model',
							    'SpeechT5PreTrainedModel',
							    'SpeechT5HifiGan',
							]

if TYPE_CHECKING:
							from .configuration_speechta import (
							    SPEECHT5_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    SPEECHT5_PRETRAINED_HIFIGAN_CONFIG_ARCHIVE_MAP,
							    SpeechTaConfig,
							    SpeechTaHifiGanConfig,
							)
							from .feature_extraction_speechta import SpeechTaFeatureExtractor
							from .processing_speechta import SpeechTaProcessor

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_speechta import SpeechTaTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_speechta import (
														    SPEECHT5_PRETRAINED_MODEL_ARCHIVE_LIST,
														    SpeechTaForSpeechToSpeech,
														    SpeechTaForSpeechToText,
														    SpeechTaForTextToSpeech,
														    SpeechTaHifiGan,
														    SpeechTaModel,
														    SpeechTaPreTrainedModel,
														)

else:
							import sys

							lowerCAmelCase_   						=   _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
