



'''simple docstring'''






import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


UpperCamelCase__:     str										=    logging.get_logger(__name__)

UpperCamelCase__:     List[str]										=    {"vocab_file": "spm_char.model"}

UpperCamelCase__:     List[str]										=    {
    "vocab_file": {
        "microsoft/speecht5_asr": "https://huggingface.co/microsoft/speecht5_asr/resolve/main/spm_char.model",
        "microsoft/speecht5_tts": "https://huggingface.co/microsoft/speecht5_tts/resolve/main/spm_char.model",
        "microsoft/speecht5_vc": "https://huggingface.co/microsoft/speecht5_vc/resolve/main/spm_char.model",
    }
}

UpperCamelCase__:     Tuple										=    {
    "microsoft/speecht5_asr": 1024,
    "microsoft/speecht5_tts": 1024,
    "microsoft/speecht5_vc": 1024,
}

class        SCREAMING_SNAKE_CASE(							A__    ):







	"""simple docstring"""






	lowerCamelCase__    				= VOCAB_FILES_NAMES
	lowerCamelCase__    				= PRETRAINED_VOCAB_FILES_MAP
	lowerCamelCase__    				= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	lowerCamelCase__    				= ["""input_ids""", """attention_mask"""]







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

								super().__init__(
								    bos_token=__snake_case	,    eos_token=__snake_case	,    unk_token=__snake_case	,    pad_token=__snake_case	,    sp_model_kwargs=self.sp_model_kwargs	,    **__snake_case	,    )

								UpperCAmelCase				: Any											=	vocab_file

								UpperCAmelCase				: int											=	spm.SentencePieceProcessor(**self.sp_model_kwargs	)
								self.sp_model.Load(__snake_case	)







	@property
	def   A			(		self    :  int	)    ->	Optional[int]:
								return self.sp_model.get_piece_size()







	def   A			(		self    :  Any	)    ->	int:
								UpperCAmelCase				: Optional[int]											=	{self.convert_ids_to_tokens(__snake_case	): i for i in range(self.vocab_size	)}
								vocab.update(self.added_tokens_encoder	)
								return vocab







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







	def __setstate__(		self    :  Dict	,    __snake_case    :  Optional[Any]	)    ->	Tuple:
								UpperCAmelCase				: Tuple											=	d

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

								UpperCAmelCase				: str											=	spm.SentencePieceProcessor(**self.sp_model_kwargs	)
								self.sp_model.Load(self.vocab_file	)







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







	def   A			(		self    :  Tuple	,    __snake_case    :  Optional[Any]	)    ->	List[str]:
								return self.sp_model.piece_to_id(__snake_case	)







	def   A			(		self    :  Union[str, Any]	,    __snake_case    :  Any	)    ->	Tuple:
								UpperCAmelCase				: Dict											=	self.sp_model.IdToPiece(__snake_case	)
								return token







	def   A			(		self    :  List[str]	,    __snake_case    :  Optional[int]	)    ->	Optional[Any]:
								UpperCAmelCase				: Any											=	[]
								UpperCAmelCase				: List[Any]											=	''''''
								for token in tokens:
															# make sure that special tokens are not decoded using sentencepiece model
															if token in self.all_special_tokens:
																						out_string += self.sp_model.decode(__snake_case	) + token
																						UpperCAmelCase				: Dict											=	[]
															else:
																						current_sub_tokens.append(__snake_case	)
								out_string += self.sp_model.decode(__snake_case	)
								return out_string.strip()







	def   A			(		self    :  Dict	,    __snake_case    :  Union[str, Any]	,    __snake_case    :  Any=None	)    ->	List[int]:
								if token_ids_a is None:
															return token_ids_a + [self.eos_token_id]
								# We don't expect to process pairs, but leave the pair logic for API consistency
								return token_ids_a + token_ids_a + [self.eos_token_id]







	def   A			(		self    :  Any	,    __snake_case    :  List[int]	,    __snake_case    :  Optional[List[int]] = None	,    __snake_case    :  bool = False	)    ->	List[int]:
								if already_has_special_tokens:
															return super().get_special_tokens_mask(
															    token_ids_a=__snake_case	,    token_ids_a=__snake_case	,    already_has_special_tokens=__snake_case	)

								UpperCAmelCase				: Any											=	[1]
								if token_ids_a is None:
															return ([0] * len(__snake_case	)) + suffix_ones
								return ([0] * len(__snake_case	)) + ([0] * len(__snake_case	)) + suffix_ones







	def   A			(		self    :  Dict	,    __snake_case    :  str	,    __snake_case    :  Optional[str] = None	)    ->	Tuple[str]:
								if not os.path.isdir(__snake_case	):
															logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""	)
															return
								UpperCAmelCase				: Union[str, Any]											=	os.path.join(
								    __snake_case	,    (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']	)

								if os.path.abspath(self.vocab_file	) != os.path.abspath(__snake_case	) and os.path.isfile(self.vocab_file	):
															copyfile(self.vocab_file	,    __snake_case	)
								elif not os.path.isfile(self.vocab_file	):
															with open(__snake_case	,    '''wb'''	) as fi:
																						UpperCAmelCase				: int											=	self.sp_model.serialized_model_proto()
																						fi.write(__snake_case	)

								return (out_vocab_file,)










'''simple docstring'''






# Lint as: python3
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union


UpperCamelCase__:     List[str]										=    re.compile(r"^(?P<major>\d+)" r"\.(?P<minor>\d+)" r"\.(?P<patch>\d+)$")

@total_ordering
@dataclass
class        SCREAMING_SNAKE_CASE:







	"""simple docstring"""






	lowerCamelCase__    				= 42
	lowerCamelCase__    				= None
	lowerCamelCase__    				= None
	lowerCamelCase__    				= None
	lowerCamelCase__    				= None







	def   A			(		self    :  Optional[Any]	)    ->	Dict:
								UpperCAmelCase							,	UpperCAmelCase							,	UpperCAmelCase				: Any											=	_str_to_version_tuple(self.version_str	)







	def __repr__(		self    :  str	)    ->	Optional[Any]:
								return F"""{self.tuple[0]}.{self.tuple[1]}.{self.tuple[2]}"""







	@property
	def   A			(		self    :  Tuple	)    ->	Dict:
								return self.major, self.minor, self.patch







	def   A			(		self    :  str	,    __snake_case    :  Any	)    ->	Tuple:
								if isinstance(__snake_case	,    __snake_case	):
															return Version(__snake_case	)
								elif isinstance(__snake_case	,    __snake_case	):
															return other
								raise TypeError(F"""{other} (type {type(__snake_case	)}) cannot be compared to version."""	)







	def __eq__(		self    :  str	,    __snake_case    :  Union[str, Any]	)    ->	List[Any]:
								try:
															UpperCAmelCase				: Dict											=	self._validate_operand(__snake_case	)
								except (TypeError, ValueError):
															return False
								else:
															return self.tuple == other.tuple







	def __lt__(		self    :  Any	,    __snake_case    :  int	)    ->	Optional[int]:
								UpperCAmelCase				: int											=	self._validate_operand(__snake_case	)
								return self.tuple < other.tuple







	def __hash__(		self    :  List[str]	)    ->	str:
								return hash(_version_tuple_to_str(self.tuple	)	)







	@classmethod
	def   A			(		cls    :  Any	,    __snake_case    :  Tuple	)    ->	Union[str, Any]:
								UpperCAmelCase				: Optional[Any]											=	{f.name for f in dataclasses.fields(cls	)}
								return cls(**{k: v for k, v in dic.items() if k in field_names}	)







	def   A			(		self    :  Dict	)    ->	str:
								return self.version_str


def 				snake_case_  (      _lowerCAmelCase						:		Optional[Any]						)   ->     List[Any]:
							UpperCAmelCase				: Optional[Any]											=	_VERSION_REG.match(_lowerCAmelCase						)
							if not res:
														raise ValueError(f"""Invalid version '{version_str}'. Format should be x.y.z with {{x,y,z}} being digits."""						)
							return tuple(int(_lowerCAmelCase						) for v in [res.group('''major'''						), res.group('''minor'''						), res.group('''patch'''						)]						)




def 				snake_case_  (      _lowerCAmelCase						:		List[str]						)   ->     List[Any]:
							return ".".join(str(_lowerCAmelCase						) for v in version_tuple						)





