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


_lowercase:	Tuple       			=		'''▁'''

_lowercase:	List[Any]       			=		{'''vocab_file''': '''spiece.model'''}

_lowercase:	int       			=		{
    '''vocab_file''': {'''google/pegasus-xsum''': '''https://huggingface.co/google/pegasus-xsum/resolve/main/spiece.model'''}
}

_lowercase:	List[Any]       			=		{
    '''google/pegasus-xsum''': 5_1_2,
}


_lowercase:	Optional[Any]       			=		logging.get_logger(__name__)



class        lowerCamelCase__				(   _UpperCamelCase				):
			UpperCamelCase__    							=VOCAB_FILES_NAMES

			UpperCamelCase__    							=VOCAB_FILES_NAMES
			UpperCamelCase__    							=PRETRAINED_VOCAB_FILES_MAP
			UpperCamelCase__    							=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			UpperCamelCase__    							=['input_ids', 'attention_mask']





			def __init__(       self	:	Dict  ,  lowercase__	:	List[str]  ,  lowercase__	:	int="<pad>"  ,  lowercase__	:	Any="</s>"  ,  lowercase__	:	Dict="<unk>"  ,  lowercase__	:	Any="<mask_2>"  ,  lowercase__	:	Any="<mask_1>"  ,  lowercase__	:	Dict=None  ,  lowercase__	:	Any=1_03  ,  lowercase__	:	Optional[Dict[str, Any]] = None  ,  **lowercase__	:	Any  ,  ):
										_lowerCAmelCase							=							offset
										if additional_special_tokens is not None:
																	if not isinstance(lowercase__  ,  lowercase__						):
																								raise TypeError(
																								    f'additional_special_tokens should be of type {type(lowercase__						)}, but is'
																								    f' {type(lowercase__						)}'						)

																	_lowerCAmelCase							=							(
																	    ([mask_token_sent] + additional_special_tokens)
																	    if mask_token_sent not in additional_special_tokens and mask_token_sent is not None
																	    else additional_special_tokens
																	)
																	# fill additional tokens with ..., <unk_token_102> in case not all additional tokens are already taken
																	additional_special_tokens_extended += [
																	    f'<unk_{i}>' for i in range(len(lowercase__						)  ,  self.offset - 1						)
																	]

																	if len(set(lowercase__						)						) != len(lowercase__						):
																								raise ValueError(
																								    'Please make sure that the provided additional_special_tokens do not contain an incorrectly'
																								    f' shifted list of <unk_x> tokens. Found {additional_special_tokens_extended}.'						)
																	_lowerCAmelCase							=							additional_special_tokens_extended
										else:
																	_lowerCAmelCase							=							[mask_token_sent] if mask_token_sent is not None else []
																	additional_special_tokens += [f'<unk_{i}>' for i in range(2  ,  self.offset						)]

										_lowerCAmelCase							=							{} if sp_model_kwargs is None else sp_model_kwargs

										super().__init__(
										    eos_token=lowercase__  ,  unk_token=lowercase__  ,  mask_token=lowercase__  ,  pad_token=lowercase__  ,  mask_token_sent=lowercase__  ,  offset=lowercase__  ,  additional_special_tokens=lowercase__  ,  sp_model_kwargs=self.sp_model_kwargs  ,  **lowercase__  ,  )
										_lowerCAmelCase							=							mask_token_sent
										_lowerCAmelCase							=							vocab_file
										_lowerCAmelCase							=							spm.SentencePieceProcessor(**self.sp_model_kwargs						)
										self.sp_model.Load(lowercase__						)

										# add special tokens to encoder dict
										_lowerCAmelCase							=							{
										    0: self.pad_token,
										    1: self.eos_token,
										}

										if self.mask_token_sent is not None:
																	self.encoder.update(
																	    {
																	        2: self.mask_token_sent,
																	        3: self.mask_token,
																	    }						)

										if self.offset > 0:
																	# entries 2-104 are only used for pretraining and called <mask_1>, <mask_2>, unk_2, ...unk_102
																	# mask_token_sent is already added to list -> so start at 1
																	self.encoder.update({i + 3: additional_special_tokens[i] for i in range(1  ,  self.offset - 1						)}						)

										_lowerCAmelCase							=							{v: k for k, v in self.encoder.items()}





			@property
			def   SCREAMING_SNAKE_CASE__     (       self	:	str						):
										return len(self.sp_model						) + self.offset





			def   SCREAMING_SNAKE_CASE__     (       self	:	List[str]						):
										_lowerCAmelCase							=							{self.convert_ids_to_tokens(lowercase__						): i for i in range(self.vocab_size						)}
										vocab.update(self.added_tokens_encoder						)
										return vocab





			def __getstate__(       self	:	Dict						):
										_lowerCAmelCase							=							self.__dict__.copy()
										_lowerCAmelCase							=							None
										return state





			def __setstate__(       self	:	List[Any]  ,  lowercase__	:	List[Any]						):
										_lowerCAmelCase							=							d

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

										_lowerCAmelCase							=							spm.SentencePieceProcessor(**self.sp_model_kwargs						)
										self.sp_model.Load(self.vocab_file						)





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





			def   SCREAMING_SNAKE_CASE__     (       self	:	int  ,  lowercase__	:	str						):







										if token in self.decoder:
																	return self.decoder[token]
										elif token in self.added_tokens_decoder:
																	return self.added_tokens_decoder[token]
										_lowerCAmelCase							=							self.sp_model.piece_to_id(lowercase__						)
										return sp_id + self.offset





			def   SCREAMING_SNAKE_CASE__     (       self	:	Optional[Any]  ,  lowercase__	:	int						):







										if index in self.encoder:
																	return self.encoder[index]
										elif index in self.added_tokens_encoder:
																	return self.added_tokens_encoder[index]
										else:
																	_lowerCAmelCase							=							self.sp_model.IdToPiece(index - self.offset						)
										return token





			def   SCREAMING_SNAKE_CASE__     (       self	:	List[Any]  ,  lowercase__	:	Tuple						):
										_lowerCAmelCase							=							[]
										_lowerCAmelCase							=							""""""
										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(lowercase__						) + token
																								_lowerCAmelCase							=							[]
																	else:
																								current_sub_tokens.append(lowercase__						)
										out_string += self.sp_model.decode(lowercase__						)
										return out_string.strip()





			def   SCREAMING_SNAKE_CASE__     (       self	:	Tuple  ,  lowercase__	:	Optional[Any]=False						):
										return 1





			def   SCREAMING_SNAKE_CASE__     (       self	:	str  ,  lowercase__	:	List[Any]						):
										_lowerCAmelCase							=							set(self.all_special_ids						)  # call it once instead of inside list comp
										all_special_ids.remove(self.unk_token_id						)  # <unk> is only sometimes special

										return [1 if x in all_special_ids else 0 for x in seq]





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







										if already_has_special_tokens:
																	return self._special_token_mask(lowercase__						)
										elif token_ids_a is None:
																	return self._special_token_mask(lowercase__						) + [1]
										else:
																	return self._special_token_mask(token_ids_a + token_ids_a						) + [1]





			def   SCREAMING_SNAKE_CASE__     (       self	:	Optional[Any]  ,  lowercase__	:	List[Any]  ,  lowercase__	:	Tuple=None						):







										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   SCREAMING_SNAKE_CASE__     (       self	:	List[Any]  ,  lowercase__	:	str  ,  lowercase__	:	Optional[str] = None						):







										if not os.path.isdir(lowercase__						):
																	logger.error(f'Vocabulary path ({save_directory}) should be a directory'						)
																	return
										_lowerCAmelCase							=							os.path.join(
										    lowercase__  ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']						)

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

										return (out_vocab_file,)












import logging
import os
from logging import (
    CRITICAL,  # NOQA
    DEBUG,  # NOQA
    ERROR,  # NOQA
    FATAL,  # NOQA
    INFO,  # NOQA
    NOTSET,  # NOQA
    WARN,  # NOQA
    WARNING,  # NOQA
)
from typing import Optional

from tqdm import auto as tqdm_lib


a__		     =     {
    '''debug''': logging.DEBUG,
    '''info''': logging.INFO,
    '''warning''': logging.WARNING,
    '''error''': logging.ERROR,
    '''critical''': logging.CRITICAL,
}

a__		     =     logging.WARNING





def 				A__ ()     ->						Any:
					__UpperCamelCase					:	Union[str, Any]             =      os.getenv("""DATASETS_VERBOSITY"""		,	snake_case				)
					if env_level_str:
										if env_level_str in log_levels:
															return log_levels[env_level_str]
										else:
															logging.getLogger().warning(
															    F'''Unknown option DATASETS_VERBOSITY={env_level_str}, '''
															    F'''has to be one of: { ", ".join(log_levels.keys()				) }'''				)
					return _default_log_level





def 				A__ ()     ->						str:
					return __name__.split("""."""				)[0]





def 				A__ ()     ->						logging.Logger:
					return logging.getLogger(_get_library_name()				)





def 				A__ ()     ->						None:
					# Apply our default configuration to the library root logger.
					__UpperCamelCase					:	Any             =      _get_library_root_logger()
					library_root_logger.setLevel(_get_default_logging_level()				)





def 				A__ ()     ->						None:
					__UpperCamelCase					:	List[Any]             =      _get_library_root_logger()
					library_root_logger.setLevel(logging.NOTSET				)





def 				A__ (snake_case   :		Optional[str] = None				)     ->						logging.Logger:
					if name is None:
										__UpperCamelCase					:	Optional[int]             =      _get_library_name()
					return logging.getLogger(snake_case				)





def 				A__ ()     ->						int:
					return _get_library_root_logger().getEffectiveLevel()





def 				A__ (snake_case   :		int				)     ->						None:
					_get_library_root_logger().setLevel(snake_case				)





def 				A__ ()     ->						Dict:
					return set_verbosity(snake_case				)





def 				A__ ()     ->						Any:
					return set_verbosity(snake_case				)





def 				A__ ()     ->						Dict:
					return set_verbosity(snake_case				)





def 				A__ ()     ->						str:
					return set_verbosity(snake_case				)





def 				A__ ()     ->						None:
					__UpperCamelCase					:	str             =      False





def 				A__ ()     ->						None:
					__UpperCamelCase					:	List[str]             =      True


# Configure the library root logger at the module level (singleton-like)
_configure_library_root_logger()


class    SCREAMING_SNAKE_CASE_				:



	"""simple docstring"""


	def __init__(					self		:						Optional[int]					,     *lowerCAmelCase		:						str					,     **lowerCAmelCase		:						List[str]	)	->       Union[str, Any]:  # pylint: disable=unused-argument







						"""simple docstring"""







						__UpperCamelCase					:	List[str]             =      args[0] if args else None






	def __iter__(					self		:						List[Any]	)	->       List[Any]:







						"""simple docstring"""







						return iter(self._iterator	)






	def __getattr__(					self		:						int					,     lowerCAmelCase		:						List[str]	)	->       Dict:







						"""simple docstring"""







						def empty_fn(*lowerCAmelCase		:						List[Any]					,     **lowerCAmelCase		:						Dict	):  # pylint: disable=unused-argument
											return

						return empty_fn






	def __enter__(					self		:						Tuple	)	->       Any:







						"""simple docstring"""







						return self






	def __exit__(					self		:						str					,     lowerCAmelCase		:						Dict					,     lowerCAmelCase		:						Dict					,     lowerCAmelCase		:						List[str]	)	->       Tuple:







						"""simple docstring"""







						return






a__		     =     True


class    SCREAMING_SNAKE_CASE_				:



	"""simple docstring"""


	def __call__(					self		:						str					,     *lowerCAmelCase		:						List[Any]					,     lowerCAmelCase		:						Dict=False					,     **lowerCAmelCase		:						Tuple	)	->       Optional[Any]:







						"""simple docstring"""







						if _tqdm_active and not disable:
											return tqdm_lib.tqdm(*lowerCAmelCase					,     **lowerCAmelCase	)
						else:
											return EmptyTqdm(*lowerCAmelCase					,     **lowerCAmelCase	)






	def 					lowerCamelCase__     (					self		:						Any					,     *lowerCAmelCase		:						List[str]					,     **lowerCAmelCase		:						str	)	->       Dict:







						"""simple docstring"""







						__UpperCamelCase					:	Any             =      None
						if _tqdm_active:
											return tqdm_lib.tqdm.set_lock(*lowerCAmelCase					,     **lowerCAmelCase	)






	def 					lowerCamelCase__     (					self		:						Dict	)	->       Union[str, Any]:







						"""simple docstring"""







						if _tqdm_active:
											return tqdm_lib.tqdm.get_lock()






a__		     =     _tqdm_cls()





def 				A__ ()     ->						bool:
					global _tqdm_active
					return bool(_tqdm_active				)





def 				A__ ()     ->						List[str]:
					global _tqdm_active
					__UpperCamelCase					:	Tuple             =      True







def 				A__ ()     ->						int:
					global _tqdm_active
					__UpperCamelCase					:	Any             =      False






