





'''simple docstring'''







import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

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


lowerCAmelCase_					:    Tuple      	=			logging.get_logger(__name__)

lowerCAmelCase_					:    List[str]      	=			'▁'

lowerCAmelCase_					:    str      	=			{
    'vocab_file': 'vocab.json',
    'spm_file': 'sentencepiece.bpe.model',
}

lowerCAmelCase_					:    Union[str, Any]      	=			{
    'vocab_file': {
        'facebook/s2t-small-librispeech-asr': (
            'https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/vocab.json'
        ),
    },
    'spm_file': {
        'facebook/s2t-small-librispeech-asr': (
            'https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/sentencepiece.bpe.model'
        )
    },
}

lowerCAmelCase_					:    List[str]      	=			{
    'facebook/s2t-small-librispeech-asr': 10_24,
}

lowerCAmelCase_					:    Any      	=			['pt', 'fr', 'ru', 'nl', 'ro', 'it', 'es', 'de']

lowerCAmelCase_					:    List[str]      	=			{'mustc': MUSTC_LANGS}
class 				__SCREAMING_SNAKE_CASE  (lowerCAmelCase__      ):






				"""simple docstring"""







				__a            =VOCAB_FILES_NAMES
				__a            =PRETRAINED_VOCAB_FILES_MAP
				__a            =MAX_MODEL_INPUT_SIZES
				__a            =['''input_ids''', '''attention_mask''']

				__a            =[]




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

								super().__init__(
								    bos_token=__lowerCAmelCase					,				eos_token=__lowerCAmelCase					,				unk_token=__lowerCAmelCase					,				pad_token=__lowerCAmelCase					,				do_upper_case=__lowerCAmelCase					,				do_lower_case=__lowerCAmelCase					,				tgt_lang=__lowerCAmelCase					,				lang_codes=__lowerCAmelCase					,				sp_model_kwargs=self.sp_model_kwargs					,				**__lowerCAmelCase					,				)
								_a								= do_upper_case
								_a								= do_lower_case

								_a								= load_json(__lowerCAmelCase					)
								_a								= {v: k for k, v in self.encoder.items()}
								_a								= spm_file
								_a								= load_spm(__lowerCAmelCase					,				self.sp_model_kwargs					)

								if lang_codes is not None:
												_a								= lang_codes
												_a								= LANGUAGES[lang_codes]
												_a								= [f'<lang:{lang}>' for lang in self.langs]
												_a								= {lang: self.sp_model.PieceToId(f'<lang:{lang}>'					) for lang in self.langs}

												_a								= self.lang_tokens
												_a								= tgt_lang if tgt_lang is not None else self.langs[0]

												self.set_tgt_lang_special_tokens(self._tgt_lang					)
								else:
												_a								= {}




				@property
				def   UpperCamelCase__   (  self     :					Tuple					):
								return len(self.encoder					)




				@property
				def   UpperCamelCase__   (  self     :					Optional[int]					):
								return self._tgt_lang




				@tgt_lang.setter
				def   UpperCamelCase__   (  self     :					str					,				__a     :					Any					):
								_a								= new_tgt_lang
								self.set_tgt_lang_special_tokens(__lowerCAmelCase					)




				def   UpperCamelCase__   (  self     :					Optional[Any]					,				__a     :					Union[str, Any]					):
								_a								= self.lang_code_to_id[tgt_lang]
								_a								= [lang_code_id]




				def   UpperCamelCase__   (  self     :					List[Any]					,				__a     :					List[str]					):
								return self.sp_model.encode(__lowerCAmelCase					,				out_type=__lowerCAmelCase					)




				def   UpperCamelCase__   (  self     :					int					,				__a     :					Tuple					):
								return self.encoder.get(__lowerCAmelCase					,				self.encoder[self.unk_token]					)




				def   UpperCamelCase__   (  self     :					Optional[Any]					,				__a     :					List[Any]					):
								return self.decoder.get(__lowerCAmelCase					,				self.unk_token					)




				def   UpperCamelCase__   (  self     :					Tuple					,				__a     :					Union[str, Any]					):
								_a								= []
								_a								= ""
								for token in tokens:
												# make sure that special tokens are not decoded using sentencepiece model
												if token in self.all_special_tokens:
																_a								= self.sp_model.decode(__lowerCAmelCase					)
																out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
																_a								= []
												else:
																current_sub_tokens.append(__lowerCAmelCase					)
								_a								= self.sp_model.decode(__lowerCAmelCase					)
								out_string += decoded.upper() if self.do_upper_case else decoded
								return out_string.strip()




				def   UpperCamelCase__   (  self     :					Dict					,				__a     :					Dict					,				__a     :					Union[str, Any]=None					):


								if token_ids_a is None:
												return self.prefix_tokens + token_ids_a + [self.eos_token_id]
								# We don't expect to process pairs, but leave the pair logic for API consistency
								return self.prefix_tokens + token_ids_a + token_ids_a + [self.eos_token_id]




				def   UpperCamelCase__   (  self     :					Tuple					,				__a     :					int					,				__a     :					List[str] = None					,				__a     :					str = False					):


								if already_has_special_tokens:
												return super().get_special_tokens_mask(
												    token_ids_a=__lowerCAmelCase					,				token_ids_a=__lowerCAmelCase					,				already_has_special_tokens=__lowerCAmelCase					)

								_a								= [1] * len(self.prefix_tokens					)
								_a								= [1]
								if token_ids_a is None:
												return prefix_ones + ([0] * len(__lowerCAmelCase					)) + suffix_ones
								return prefix_ones + ([0] * len(__lowerCAmelCase					)) + ([0] * len(__lowerCAmelCase					)) + suffix_ones




				def   UpperCamelCase__   (  self     :					int					):
								_a								= self.encoder.copy()
								vocab.update(self.added_tokens_encoder					)
								return vocab




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




				def __setstate__(  self     :					List[Any]					,				__a     :					Any					):
								_a								= d

								# for backward compatibility
								if not hasattr(self					,				"sp_model_kwargs"					):
												_a								= {}

								_a								= load_spm(self.spm_file					,				self.sp_model_kwargs					)




				def   UpperCamelCase__   (  self     :					str					,				__a     :					List[Any]					,				__a     :					List[Any] = None					):
								_a								= Path(__lowerCAmelCase					)
								assert save_dir.is_dir(), f'{save_directory} should be a directory'
								_a								= save_dir / (
								    (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["vocab_file"]
								)
								_a								= save_dir / (
								    (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["spm_file"]
								)

								save_json(self.encoder					,				__lowerCAmelCase					)

								if os.path.abspath(self.spm_file					) != os.path.abspath(__lowerCAmelCase					) and os.path.isfile(self.spm_file					):
												copyfile(self.spm_file					,				__lowerCAmelCase					)
								elif not os.path.isfile(self.spm_file					):
												with open(__lowerCAmelCase					,				"wb"					) as fi:
																_a								= self.sp_model.serialized_model_proto()
																fi.write(__lowerCAmelCase					)

								return (str(__lowerCAmelCase					), str(__lowerCAmelCase					))






def  _lowerCamelCase				( lowercase						:      str    ,							lowercase						:      Dict[str, Any]						)	->	sentencepiece.SentencePieceProcessor:
				_a								= sentencepiece.SentencePieceProcessor(**_A						)
				spm.Load(str(_A						)						)
				return spm






def  _lowerCamelCase				( lowercase						:      str						)	->	Union[Dict, List]:


				with open(_A    ,							"r"						) as f:
								return json.load(_A						)






def  _lowerCamelCase				( lowercase						:      Dict    ,							lowercase						:      str						)	->	None:


				with open(_A    ,							"w"						) as f:
								json.dump(_A    ,							_A    ,							indent=2						)

'''simple docstring'''




from string import ascii_lowercase, ascii_uppercase






def 				snake_case__							(			_A:					str )    ->	str:

		'''simple docstring'''


		if not sentence:
				return ""
		lowerCAmelCase   					=  dict(zip(_A      ,   _A ) )
		return lower_to_upper.get(sentence[0]      ,   sentence[0] ) + sentence[1:]


if __name__ == "__main__":
						from doctest import testmod

						testmod()




