

'''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__      		=			logging.get_logger(__name__)

lowerCAmelCase__      		=			'''▁'''

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

lowerCAmelCase__      		=			{
    '''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__      		=			{
    '''facebook/s2t-small-librispeech-asr''': 1024,
}

lowerCAmelCase__      		=			['''pt''', '''fr''', '''ru''', '''nl''', '''ro''', '''it''', '''es''', '''de''']

lowerCAmelCase__      		=			{'''mustc''': MUSTC_LANGS}






class     lowercase_			(lowerCamelCase__   ):




		"""simple docstring"""




		SCREAMING_SNAKE_CASE					:						Tuple           =    VOCAB_FILES_NAMES
		SCREAMING_SNAKE_CASE					:						Dict           =    PRETRAINED_VOCAB_FILES_MAP
		SCREAMING_SNAKE_CASE					:						int           =    MAX_MODEL_INPUT_SIZES
		SCREAMING_SNAKE_CASE					:						int           =    ['input_ids', 'attention_mask']

		SCREAMING_SNAKE_CASE					:						List[int]           =    []






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

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

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

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

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

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






		@property
		def       SCREAMING_SNAKE_CASE   (   self     :  Optional[int]    ):
			return len(self.encoder    )






		@property
		def       SCREAMING_SNAKE_CASE   (   self     :  int    ):
			return self._tgt_lang






		@tgt_lang.setter
		def       SCREAMING_SNAKE_CASE   (   self     :  List[str]      ,lowercase__     :  str    ):
			__lowercase													=				new_tgt_lang
			self.set_tgt_lang_special_tokens(lowercase__    )






		def       SCREAMING_SNAKE_CASE   (   self     :  Union[str, Any]      ,lowercase__     :  str    ):
			__lowercase													=				self.lang_code_to_id[tgt_lang]
			__lowercase													=				[lang_code_id]






		def       SCREAMING_SNAKE_CASE   (   self     :  List[Any]      ,lowercase__     :  str    ):
			return self.sp_model.encode(lowercase__      ,out_type=lowercase__    )






		def       SCREAMING_SNAKE_CASE   (   self     :  List[Any]      ,lowercase__     :  Optional[Any]    ):
			return self.encoder.get(lowercase__      ,self.encoder[self.unk_token]    )






		def       SCREAMING_SNAKE_CASE   (   self     :  List[str]      ,lowercase__     :  int    ):
			return self.decoder.get(lowercase__      ,self.unk_token    )






		def       SCREAMING_SNAKE_CASE   (   self     :  int      ,lowercase__     :  List[str]    ):
			__lowercase													=				[]
			__lowercase													=				''''''
			for token in tokens:
				# make sure that special tokens are not decoded using sentencepiece model
				if token in self.all_special_tokens:
					__lowercase													=				self.sp_model.decode(lowercase__    )
					out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
					__lowercase													=				[]
				else:
					current_sub_tokens.append(lowercase__    )
			__lowercase													=				self.sp_model.decode(lowercase__    )
			out_string += decoded.upper() if self.do_upper_case else decoded
			return out_string.strip()






		def       SCREAMING_SNAKE_CASE   (   self     :  List[Any]      ,lowercase__     :  Any      ,lowercase__     :  Optional[int]=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       SCREAMING_SNAKE_CASE   (   self     :  str      ,lowercase__     :  List[int]      ,lowercase__     :  Optional[List[int]] = None      ,lowercase__     :  bool = False    ):

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

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






		def       SCREAMING_SNAKE_CASE   (   self     :  Union[str, Any]    ):
			__lowercase													=				self.encoder.copy()
			vocab.update(self.added_tokens_encoder    )
			return vocab






		def __getstate__(   self     :  Optional[int]    ):
			__lowercase													=				self.__dict__.copy()
			__lowercase													=				None
			return state






		def __setstate__(   self     :  Tuple      ,lowercase__     :  Dict    ):
			__lowercase													=				d

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

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






		def       SCREAMING_SNAKE_CASE   (   self     :  Optional[Any]      ,lowercase__     :  str      ,lowercase__     :  Optional[str] = None    ):
			__lowercase													=				Path(lowercase__    )
			assert save_dir.is_dir(), F"{save_directory} should be a directory"
			__lowercase													=				save_dir / (
			    (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''vocab_file''']
			)
			__lowercase													=				save_dir / (
			    (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''spm_file''']
			)

			save_json(self.encoder      ,lowercase__    )

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

			return (str(lowercase__    ), str(lowercase__    ))


def 	_A  (					A__  ,       A__   ):






	"""simple docstring"""



	__lowercase													=				sentencepiece.SentencePieceProcessor(**A__   )
	spm.Load(str(A__   )   )
	return spm


def 	_A  (					A__   ):






	"""simple docstring"""



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






def 	_A  (					A__  ,       A__   ):






	"""simple docstring"""



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




'''simple docstring'''






def 	_A  (					A__   ):






 """simple docstring"""



 if not nums:  # Makes sure that the list is not empty
  raise ValueError('''List is empty'''   )

 __lowercase													=				sum(A__   ) / len(A__   )  # Calculate the average
 return sum(abs(x - average   ) for x in nums   ) / len(A__   )


if __name__ == "__main__":
 import doctest

 doctest.testmod()

