
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


__a         =   logging.get_logger(__name__)

__a         =   {'vocab_file': 'spm_char.model'}

__a         =   {
    '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',
    }
}

__a         =   {
    'microsoft/speecht5_asr': 1_0_2_4,
    'microsoft/speecht5_tts': 1_0_2_4,
    'microsoft/speecht5_vc': 1_0_2_4,
}
class 					lowercase__(							UpperCAmelCase				):



	"""simple docstring"""




	a     :Dict       	=      VOCAB_FILES_NAMES
	a     :Dict       	=      PRETRAINED_VOCAB_FILES_MAP
	a     :int       	=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	a     :str       	=      ['input_ids', 'attention_mask']
	def __init__(			self    :     Any			,				SCREAMING_SNAKE_CASE_    :     int			,				SCREAMING_SNAKE_CASE_    :     Any="<s>"			,				SCREAMING_SNAKE_CASE_    :     List[Any]="</s>"			,				SCREAMING_SNAKE_CASE_    :     str="<unk>"			,				SCREAMING_SNAKE_CASE_    :     Tuple="<pad>"			,				SCREAMING_SNAKE_CASE_    :     Optional[Dict[str, Any]] = None			,				**SCREAMING_SNAKE_CASE_    :     Dict			,				)			->	None:
					lowercase_	    =   {} if sp_model_kwargs is None else sp_model_kwargs

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

					lowercase_	    =   vocab_file

					lowercase_	    =   spm.SentencePieceProcessor(**self.sp_model_kwargs			)
					self.sp_model.Load(SCREAMING_SNAKE_CASE_			)
	@property
	def 		_lowercase    (			self    :     Optional[Any]			)			->	Dict:
					return self.sp_model.get_piece_size()
	def 		_lowercase    (			self    :     Optional[int]			)			->	List[Any]:
					lowercase_	    =   {self.convert_ids_to_tokens(SCREAMING_SNAKE_CASE_			): i for i in range(self.vocab_size			)}
					vocab.update(self.added_tokens_encoder			)
					return vocab
	def __getstate__(			self    :     int			)			->	List[Any]:
					lowercase_	    =   self.__dict__.copy()
					lowercase_	    =   None
					return state
	def __setstate__(			self    :     Union[str, Any]			,				SCREAMING_SNAKE_CASE_    :     int			)			->	Union[str, Any]:
					lowercase_	    =   d

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

					lowercase_	    =   spm.SentencePieceProcessor(**self.sp_model_kwargs			)
					self.sp_model.Load(self.vocab_file			)
	def 		_lowercase    (			self    :     Dict			,				SCREAMING_SNAKE_CASE_    :     str			)			->	List[str]:
					return self.sp_model.encode(SCREAMING_SNAKE_CASE_			,				out_type=SCREAMING_SNAKE_CASE_			)
	def 		_lowercase    (			self    :     Optional[Any]			,				SCREAMING_SNAKE_CASE_    :     Optional[Any]			)			->	Optional[int]:
					return self.sp_model.piece_to_id(SCREAMING_SNAKE_CASE_			)
	def 		_lowercase    (			self    :     Union[str, Any]			,				SCREAMING_SNAKE_CASE_    :     List[Any]			)			->	Optional[int]:
					lowercase_	    =   self.sp_model.IdToPiece(SCREAMING_SNAKE_CASE_			)
					return token
	def 		_lowercase    (			self    :     Tuple			,				SCREAMING_SNAKE_CASE_    :     List[str]			)			->	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:
													out_string += self.sp_model.decode(SCREAMING_SNAKE_CASE_			) + token
													lowercase_	    =   []
									else:
													current_sub_tokens.append(SCREAMING_SNAKE_CASE_			)
					out_string += self.sp_model.decode(SCREAMING_SNAKE_CASE_			)
					return out_string.strip()
	def 		_lowercase    (			self    :     List[str]			,				SCREAMING_SNAKE_CASE_    :     Union[str, Any]			,				SCREAMING_SNAKE_CASE_    :     Dict=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 		_lowercase    (			self    :     Union[str, Any]			,				SCREAMING_SNAKE_CASE_    :     List[int]			,				SCREAMING_SNAKE_CASE_    :     Optional[List[int]] = None			,				SCREAMING_SNAKE_CASE_    :     bool = False			)			->	List[int]:
					if already_has_special_tokens:
									return super().get_special_tokens_mask(
									    token_ids_a=SCREAMING_SNAKE_CASE_			,				token_ids_a=SCREAMING_SNAKE_CASE_			,				already_has_special_tokens=SCREAMING_SNAKE_CASE_			)

					lowercase_	    =   [1]
					if token_ids_a is None:
									return ([0] * len(SCREAMING_SNAKE_CASE_			)) + suffix_ones
					return ([0] * len(SCREAMING_SNAKE_CASE_			)) + ([0] * len(SCREAMING_SNAKE_CASE_			)) + suffix_ones




	def 		_lowercase    (			self    :     str			,				SCREAMING_SNAKE_CASE_    :     str			,				SCREAMING_SNAKE_CASE_    :     Optional[str] = None			)			->	Tuple[str]:
					if not os.path.isdir(SCREAMING_SNAKE_CASE_			):
									logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''			)
									return
					lowercase_	    =   os.path.join(
					    SCREAMING_SNAKE_CASE_			,				(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']			)

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

					return (out_vocab_file,)





'''simple docstring'''




import os
from distutils.util import strtobool






def 							snake_case__				(     _A:   int ,  _A:   List[Any]					)       ->      Union[str, Any]:

		'''simple docstring'''


		for e in env_keys:
				lowerCAmelCase     =    int(os.environ.get(_A ,  -1					)					)
				if val >= 0:
						return val
		return default






def 							snake_case__				(     _A:   str ,  _A:   List[Any]=False					)       ->      int:

		'''simple docstring'''


		lowerCAmelCase     =    os.environ.get(_A ,  str(_A					)					)
		return strtobool(_A					) == 1  # As its name indicates `strtobool` actually returns an int...






def 							snake_case__				(     _A:   Dict ,  _A:   List[Any]="no"					)       ->      str:

		'''simple docstring'''


		lowerCAmelCase     =    os.environ.get(_A ,  str(_A					)					)
		return value




