




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


__A        =    logging.get_logger(__name__)

__A        =    "▁"

__A        =    {
    "vocab_file": "vocab.json",
    "spm_file": "sentencepiece.bpe.model",
}

__A        =    {
    "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"
        )
    },
}

__A        =    {
    "facebook/s2t-small-librispeech-asr": 10_24,
}

__A        =    ["pt", "fr", "ru", "nl", "ro", "it", "es", "de"]

__A        =    {"mustc": MUSTC_LANGS}







class     __lowerCAmelCase (       __magic_name__ ):

			"""simple docstring"""







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

			snake_case_   		=       []


			def __init__(      self			,						lowerCamelCase__			,						lowerCamelCase__			,						lowerCamelCase__="<s>"			,						lowerCamelCase__="</s>"			,						lowerCamelCase__="<pad>"			,						lowerCamelCase__="<unk>"			,						lowerCamelCase__=False			,						lowerCamelCase__=False			,						lowerCamelCase__=None			,						lowerCamelCase__=None			,						lowerCamelCase__ = None			,						**lowerCamelCase__			,						)    ->      None:



							'''simple docstring'''
							__lowerCamelCase		       =    {} 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__			,						)
							__lowerCamelCase		       =    do_upper_case
							__lowerCamelCase		       =    do_lower_case

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

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

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

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


			@property
			def       lowercase_    (      self							)    ->      int:



							'''simple docstring'''
							return len(self.encoder							)


			@property
			def       lowercase_    (      self							)    ->      str:



							'''simple docstring'''
							return self._tgt_lang


			@tgt_lang.setter
			def       lowercase_    (      self			,						lowerCamelCase__							)    ->      None:



							'''simple docstring'''
							__lowerCamelCase		       =    new_tgt_lang
							self.set_tgt_lang_special_tokens(lowerCamelCase__							)


			def       lowercase_    (      self			,						lowerCamelCase__							)    ->      None:



							'''simple docstring'''
							__lowerCamelCase		       =    self.lang_code_to_id[tgt_lang]
							__lowerCamelCase		       =    [lang_code_id]


			def       lowercase_    (      self			,						lowerCamelCase__							)    ->      List[str]:



							'''simple docstring'''
							return self.sp_model.encode(lowerCamelCase__			,						out_type=lowerCamelCase__							)


			def       lowercase_    (      self			,						lowerCamelCase__							)    ->      Tuple:



							'''simple docstring'''
							return self.encoder.get(lowerCamelCase__			,						self.encoder[self.unk_token]							)


			def       lowercase_    (      self			,						lowerCamelCase__							)    ->      str:



							'''simple docstring'''
							return self.decoder.get(lowerCamelCase__			,						self.unk_token							)


			def       lowercase_    (      self			,						lowerCamelCase__							)    ->      str:



							'''simple docstring'''
							__lowerCamelCase		       =    []
							__lowerCamelCase		       =    ''
							for token in tokens:
											# make sure that special tokens are not decoded using sentencepiece model
											if token in self.all_special_tokens:
															__lowerCamelCase		       =    self.sp_model.decode(lowerCamelCase__							)
															out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
															__lowerCamelCase		       =    []
											else:
															current_sub_tokens.append(lowerCamelCase__							)
							__lowerCamelCase		       =    self.sp_model.decode(lowerCamelCase__							)
							out_string += decoded.upper() if self.do_upper_case else decoded
							return out_string.strip()


			def       lowercase_    (      self			,						lowerCamelCase__			,						lowerCamelCase__=None							)    ->      List[int]:



							'''simple docstring'''
							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       lowercase_    (      self			,						lowerCamelCase__			,						lowerCamelCase__ = None			,						lowerCamelCase__ = False							)    ->      List[int]:



							'''simple docstring'''

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

							__lowerCamelCase		       =    [1] * len(self.prefix_tokens							)
							__lowerCamelCase		       =    [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       lowercase_    (      self							)    ->      Dict:



							'''simple docstring'''
							__lowerCamelCase		       =    self.encoder.copy()
							vocab.update(self.added_tokens_encoder							)
							return vocab


			def __getstate__(      self							)    ->      Dict:



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


			def __setstate__(      self			,						lowerCamelCase__							)    ->      None:



							'''simple docstring'''
							__lowerCamelCase		       =    d

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

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






			def       lowercase_    (      self			,						lowerCamelCase__			,						lowerCamelCase__ = None							)    ->      Tuple[str]:



							'''simple docstring'''
							__lowerCamelCase		       =    Path(lowerCamelCase__							)
							assert save_dir.is_dir(), f"""{save_directory} should be a directory"""
							__lowerCamelCase		       =    save_dir / (
							    (filename_prefix + '-' if filename_prefix else '') + self.vocab_files_names['vocab_file']
							)
							__lowerCamelCase		       =    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:
															__lowerCamelCase		       =    self.sp_model.serialized_model_proto()
															fi.write(lowerCamelCase__							)

							return (str(lowerCamelCase__							), str(lowerCamelCase__							))







def 			lowerCamelCase_		(       UpperCamelCase__				:      str ,     UpperCamelCase__				:      Dict[str, Any]      )     ->       sentencepiece.SentencePieceProcessor:





				"""simple docstring"""


				__lowerCamelCase		       =    sentencepiece.SentencePieceProcessor(**UpperCamelCase__      )
				spm.Load(str(UpperCamelCase__      )      )
				return spm







def 			lowerCamelCase_		(       UpperCamelCase__				:      str      )     ->       Union[Dict, List]:





				"""simple docstring"""


				with open(UpperCamelCase__ ,     'r'      ) as f:
								return json.load(UpperCamelCase__      )







def 			lowerCamelCase_		(       UpperCamelCase__				:      Tuple ,     UpperCamelCase__				:      str      )     ->       None:





				"""simple docstring"""


				with open(UpperCamelCase__ ,     'w'      ) as f:
								json.dump(UpperCamelCase__ ,     UpperCamelCase__ ,     indent=2      )



def       A	(    _lowercase		,  _lowercase		,  _lowercase						):
						return round(float(moles / volume						) * nfactor						)
def       A	(    _lowercase		,  _lowercase		,  _lowercase						):
						return round(float((moles * 0.0821 * temperature) / (volume)						)						)
def       A	(    _lowercase		,  _lowercase		,  _lowercase						):
						return round(float((moles * 0.0821 * temperature) / (pressure)						)						)
def       A	(    _lowercase		,  _lowercase		,  _lowercase						):
						return round(float((pressure * volume) / (0.0821 * moles)						)						)


if __name__ == "__main__":
					import doctest

					doctest.testmod()





