





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


snake_case_							=			logging.get_logger(__name__)

snake_case_							=			'''▁'''

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

snake_case_							=			{
    '''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'''
        )
    },
}

snake_case_							=			{
    '''facebook/s2t-small-librispeech-asr''': 1_0_2_4,
}

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

snake_case_							=			{'''mustc''': MUSTC_LANGS}
class        snake_case_		(			_A):
		lowerCamelCase    :Union[str, Any]						=     VOCAB_FILES_NAMES
		lowerCamelCase    :Any						=     PRETRAINED_VOCAB_FILES_MAP
		lowerCamelCase    :str						=     MAX_MODEL_INPUT_SIZES
		lowerCamelCase    :Optional[Any]						=     ["input_ids", "attention_mask"]

		lowerCamelCase    :List[int]						=     []







		def __init__(		self			,     __lowercase			,     __lowercase			,     __lowercase="<s>"			,     __lowercase="</s>"			,     __lowercase="<pad>"			,     __lowercase="<unk>"			,     __lowercase=False			,     __lowercase=False			,     __lowercase=None			,     __lowercase=None			,     __lowercase = None			,     **__lowercase			,     )				->   None:
				lowerCamelCase   : List[Any]								={} 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			,     )
				lowerCamelCase   : List[Any]								=do_upper_case
				lowerCamelCase   : Union[str, Any]								=do_lower_case

				lowerCamelCase   : str								=load_json(__lowercase   )
				lowerCamelCase   : List[Any]								={v: k for k, v in self.encoder.items()}
				lowerCamelCase   : List[Any]								=spm_file
				lowerCamelCase   : Any								=load_spm(__lowercase			,     self.sp_model_kwargs   )

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

						lowerCamelCase   : str								=self.lang_tokens
						lowerCamelCase   : Optional[int]								=tgt_lang if tgt_lang is not None else self.langs[0]

						self.set_tgt_lang_special_tokens(self._tgt_lang   )
				else:
						lowerCamelCase   : Any								={}







		@property
		def 			__lowercase   (		self   )				->   int:
				return len(self.encoder   )







		@property
		def 			__lowercase   (		self   )				->   str:
				return self._tgt_lang







		@tgt_lang.setter
		def 			__lowercase   (		self			,     __lowercase   )				->   None:
				lowerCamelCase   : List[str]								=new_tgt_lang
				self.set_tgt_lang_special_tokens(__lowercase   )







		def 			__lowercase   (		self			,     __lowercase   )				->   None:
				lowerCamelCase   : List[str]								=self.lang_code_to_id[tgt_lang]
				lowerCamelCase   : List[Any]								=[lang_code_id]







		def 			__lowercase   (		self			,     __lowercase   )				->   List[str]:
				return self.sp_model.encode(__lowercase			,     out_type=__lowercase   )







		def 			__lowercase   (		self			,     __lowercase   )				->   Optional[int]:
				return self.encoder.get(__lowercase			,     self.encoder[self.unk_token]   )







		def 			__lowercase   (		self			,     __lowercase   )				->   str:
				return self.decoder.get(__lowercase			,     self.unk_token   )







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







		def 			__lowercase   (		self			,     __lowercase			,     __lowercase=None   )				->   List[int]:
				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			,     __lowercase			,     __lowercase = None			,     __lowercase = False   )				->   List[int]:

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

				lowerCamelCase   : int								=[1] * len(self.prefix_tokens   )
				lowerCamelCase   : Tuple								=[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 			__lowercase   (		self   )				->   Dict:
				lowerCamelCase   : str								=self.encoder.copy()
				vocab.update(self.added_tokens_encoder   )
				return vocab







		def __getstate__(		self   )				->   Dict:
				lowerCamelCase   : Dict								=self.__dict__.copy()
				lowerCamelCase   : List[str]								=None
				return state







		def __setstate__(		self			,     __lowercase   )				->   None:
				lowerCamelCase   : Any								=d

				# for backward compatibility
				if not hasattr(self			,     '''sp_model_kwargs'''   ):
						lowerCamelCase   : Optional[Any]								={}

				lowerCamelCase   : Tuple								=load_spm(self.spm_file			,     self.sp_model_kwargs   )







		def 			__lowercase   (		self			,     __lowercase			,     __lowercase = None   )				->   Tuple[str]:
				lowerCamelCase   : Optional[int]								=Path(__lowercase   )
				assert save_dir.is_dir(), F"{save_directory} should be a directory"
				lowerCamelCase   : Union[str, Any]								=save_dir / (
				    (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''vocab_file''']
				)
				lowerCamelCase   : str								=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:
								lowerCamelCase   : List[Any]								=self.sp_model.serialized_model_proto()
								fi.write(__lowercase   )

				return (str(__lowercase   ), str(__lowercase   ))


def 					A__	(       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_		)   ->     sentencepiece.SentencePieceProcessor:
		lowerCamelCase   : int								=sentencepiece.SentencePieceProcessor(**SCREAMING_SNAKE_CASE_		)
		spm.Load(str(SCREAMING_SNAKE_CASE_		)		)
		return spm


def 					A__	(       SCREAMING_SNAKE_CASE_		)   ->     Union[Dict, List]:
		with open(SCREAMING_SNAKE_CASE_							,       '''r'''		) as f:
				return json.load(SCREAMING_SNAKE_CASE_		)



def 					A__	(       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_		)   ->     None:
		with open(SCREAMING_SNAKE_CASE_							,       '''w'''		) as f:
				json.dump(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_							,       indent=2		)








from typing import Optional, Union

import torch
from torch import nn

from ...configuration_utils import ConfigMixin, register_to_config
from ...models.modeling_utils import ModelMixin
class        snake_case_		(			_A						,					_A):







		@register_to_config
		def __init__(		self			,     __lowercase = 7_6_8			,     )				->   List[Any]:
				super().__init__()

				lowerCamelCase   : str								=nn.Parameter(torch.zeros(1			,     __lowercase   )   )
				lowerCamelCase   : Union[str, Any]								=nn.Parameter(torch.ones(1			,     __lowercase   )   )







		def 			__lowercase   (		self			,     __lowercase = None			,     __lowercase = None			,     )				->   List[str]:
				lowerCamelCase   : Tuple								=nn.Parameter(self.mean.to(__lowercase   ).to(__lowercase   )   )
				lowerCamelCase   : Dict								=nn.Parameter(self.std.to(__lowercase   ).to(__lowercase   )   )
				return self







		def 			__lowercase   (		self			,     __lowercase   )				->   Optional[Any]:
				lowerCamelCase   : Any								=(embeds - self.mean) * 1.0 / self.std
				return embeds







		def 			__lowercase   (		self			,     __lowercase   )				->   Optional[int]:
				lowerCamelCase   : Any								=(embeds * self.std) + self.mean
				return embeds

