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

import sentencepiece as spm

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


_lowerCamelCase       : str      					=		logging.get_logger(__name__)

_lowerCamelCase       : Tuple      					=		{'vocab_file': 'sentencepiece.model'}

_lowerCamelCase       : List[Any]      					=		{
    'vocab_file': {
        'google/rembert': 'https://huggingface.co/google/rembert/resolve/main/sentencepiece.model',
    },
}

_lowerCamelCase       : str      					=		{
    'google/rembert': 2_56,
}


class     lowercase     (  _a  ):
							lowercase__    :							str										=				VOCAB_FILES_NAMES
							lowercase__    :							str										=				PRETRAINED_VOCAB_FILES_MAP
							lowercase__    :							Tuple										=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES




							def __init__(    self :       List[str]						,				_UpperCamelCase :       List[Any]						,				_UpperCamelCase :       Tuple=False						,				_UpperCamelCase :       Tuple=True						,				_UpperCamelCase :       Dict=True						,				_UpperCamelCase :       Optional[Any]="[CLS]"						,				_UpperCamelCase :       Any="[SEP]"						,				_UpperCamelCase :       Dict="[UNK]"						,				_UpperCamelCase :       Tuple="[SEP]"						,				_UpperCamelCase :       List[str]="[PAD]"						,				_UpperCamelCase :       Optional[int]="[CLS]"						,				_UpperCamelCase :       Optional[Any]="[MASK]"						,				**_UpperCamelCase :       List[Any]						,				)       ->					int:



												'''simple docstring'''

												super().__init__(
												    do_lower_case=lowerCAmelCase_						,				remove_space=lowerCAmelCase_						,				keep_accents=lowerCAmelCase_						,				bos_token=lowerCAmelCase_						,				eos_token=lowerCAmelCase_						,				unk_token=lowerCAmelCase_						,				sep_token=lowerCAmelCase_						,				pad_token=lowerCAmelCase_						,				cls_token=lowerCAmelCase_						,				mask_token=lowerCAmelCase_						,				**lowerCAmelCase_						,				)

												SCREAMING_SNAKE_CASE           =							do_lower_case
												SCREAMING_SNAKE_CASE           =							remove_space
												SCREAMING_SNAKE_CASE           =							keep_accents
												SCREAMING_SNAKE_CASE           =							vocab_file

												SCREAMING_SNAKE_CASE           =							spm.SentencePieceProcessor()
												self.sp_model.Load(lowerCAmelCase_   )




							@property
							def 						__snake_case(    self :       str   )       ->					Any:



												'''simple docstring'''

												return len(self.sp_model   )




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



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =							{self.convert_ids_to_tokens(lowerCAmelCase_   ): i for i in range(self.vocab_size   )}
												vocab.update(self.added_tokens_encoder   )
												return vocab




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



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =							self.__dict__.copy()
												SCREAMING_SNAKE_CASE           =							None
												return state




							def __setstate__(    self :       Optional[Any]						,				_UpperCamelCase :       List[Any]   )       ->					int:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =							d
												SCREAMING_SNAKE_CASE           =							spm.SentencePieceProcessor()
												self.sp_model.Load(self.vocab_file   )




							def 						__snake_case(    self :       Union[str, Any]						,				_UpperCamelCase :       Optional[Any]						,				_UpperCamelCase :       List[str]=False   )       ->					Tuple:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =							self.sp_model.EncodeAsPieces(lowerCAmelCase_   )
												return pieces




							def 						__snake_case(    self :       int						,				_UpperCamelCase :       Dict   )       ->					Union[str, Any]:



												'''simple docstring'''

												return self.sp_model.PieceToId(lowerCAmelCase_   )




							def 						__snake_case(    self :       Optional[Any]						,				_UpperCamelCase :       Optional[Any]   )       ->					int:



												'''simple docstring'''

												return self.sp_model.IdToPiece(lowerCAmelCase_   )




							def 						__snake_case(    self :       Tuple						,				_UpperCamelCase :       Any   )       ->					Union[str, Any]:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =							self.sp_model.decode_pieces(lowerCAmelCase_   )
												return out_string




							def 						__snake_case(    self :       List[Any]						,				_UpperCamelCase :       List[int]						,				_UpperCamelCase :       Optional[List[int]] = None   )       ->					List[int]:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =							[self.sep_token_id]
												SCREAMING_SNAKE_CASE           =							[self.cls_token_id]
												if token_ids_a is None:
																	return cls + token_ids_a + sep
												return cls + token_ids_a + sep + token_ids_a + sep




							def 						__snake_case(    self :       List[Any]						,				_UpperCamelCase :       List[int]						,				_UpperCamelCase :       Optional[List[int]] = None						,				_UpperCamelCase :       bool = False   )       ->					List[int]:



												'''simple docstring'''

												if already_has_special_tokens:
																	if token_ids_a is not None:
																						raise ValueError(
																						    "You should not supply a second sequence if the provided sequence of "
																						    "ids is already formatted with special tokens for the model."   )
																	return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

												if token_ids_a is not None:
																	return [1] + ([0] * len(lowerCAmelCase_   )) + [1] + ([0] * len(lowerCAmelCase_   )) + [1]
												return [1] + ([0] * len(lowerCAmelCase_   )) + [1]




							def 						__snake_case(    self :       List[str]						,				_UpperCamelCase :       List[int]						,				_UpperCamelCase :       Optional[List[int]] = None   )       ->					List[int]:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =							[self.sep_token_id]
												SCREAMING_SNAKE_CASE           =							[self.cls_token_id]

												if token_ids_a is None:
																	return len(cls + token_ids_a + sep   ) * [0]
												return len(cls + token_ids_a + sep   ) * [0] + len(token_ids_a + sep   ) * [1]





							def 						__snake_case(    self :       Optional[int]						,				_UpperCamelCase :       str						,				_UpperCamelCase :       Optional[str] = None   )       ->					Tuple[str]:



												'''simple docstring'''

												if not os.path.isdir(lowerCAmelCase_   ):
																	logger.error("Vocabulary path ({}) should be a directory".format(lowerCAmelCase_   )   )
																	return
												SCREAMING_SNAKE_CASE           =							os.path.join(
												    lowerCAmelCase_						,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]   )

												if os.path.abspath(self.vocab_file   ) != os.path.abspath(lowerCAmelCase_   ):
																	copyfile(self.vocab_file						,				lowerCAmelCase_   )

												return (out_vocab_file,)










'''simple docstring'''


import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer


_snake_case : Tuple  				=						logging.get_logger(__name__)

_snake_case : Optional[int]  				=						{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

_snake_case : List[Any]  				=						{
    'vocab_file': {
        'squeezebert/squeezebert-uncased': (
            'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt'
        ),
        'squeezebert/squeezebert-mnli': 'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt',
        'squeezebert/squeezebert-mnli-headless': (
            'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt'
        ),
    },
    'tokenizer_file': {
        'squeezebert/squeezebert-uncased': (
            'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json'
        ),
        'squeezebert/squeezebert-mnli': (
            'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json'
        ),
        'squeezebert/squeezebert-mnli-headless': (
            'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json'
        ),
    },
}

_snake_case : Union[str, Any]  				=						{
    'squeezebert/squeezebert-uncased': 512,
    'squeezebert/squeezebert-mnli': 512,
    'squeezebert/squeezebert-mnli-headless': 512,
}


_snake_case : Tuple  				=						{
    'squeezebert/squeezebert-uncased': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli-headless': {'do_lower_case': True},
}

class      A       (						_a       ):
							lowercase_							     =							VOCAB_FILES_NAMES
							lowercase_							     =							PRETRAINED_VOCAB_FILES_MAP
							lowercase_							     =							PRETRAINED_INIT_CONFIGURATION
							lowercase_							     =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase_							     =							SqueezeBertTokenizer







							def __init__(    self			:    str				,     lowerCAmelCase_			:    str=None				,     lowerCAmelCase_			:    List[str]=None				,     lowerCAmelCase_			:    str=True				,     lowerCAmelCase_			:    List[str]="[UNK]"				,     lowerCAmelCase_			:    Union[str, Any]="[SEP]"				,     lowerCAmelCase_			:    Optional[Any]="[PAD]"				,     lowerCAmelCase_			:    Any="[CLS]"				,     lowerCAmelCase_			:    List[str]="[MASK]"				,     lowerCAmelCase_			:    int=True				,     lowerCAmelCase_			:    List[Any]=None				,     **lowerCAmelCase_			:    Optional[int]				,     )     ->				int:


														"""simple docstring"""


														super().__init__(
														    lowerCAmelCase_				,     tokenizer_file=lowerCAmelCase_				,     do_lower_case=lowerCAmelCase_				,     unk_token=lowerCAmelCase_				,     sep_token=lowerCAmelCase_				,     pad_token=lowerCAmelCase_				,     cls_token=lowerCAmelCase_				,     mask_token=lowerCAmelCase_				,     tokenize_chinese_chars=lowerCAmelCase_				,     strip_accents=lowerCAmelCase_				,     **lowerCAmelCase_				,     )

														_a      	=							json.loads(self.backend_tokenizer.normalizer.__getstate__()   )
														if (
														    normalizer_state.get('''lowercase'''				,     lowerCAmelCase_   ) != do_lower_case
														    or normalizer_state.get('''strip_accents'''				,     lowerCAmelCase_   ) != strip_accents
														    or normalizer_state.get('''handle_chinese_chars'''				,     lowerCAmelCase_   ) != tokenize_chinese_chars
														):
																					_a      	=							getattr(lowerCAmelCase_				,     normalizer_state.pop('''type'''   )   )
																					_a      	=							do_lower_case
																					_a      	=							strip_accents
																					_a      	=							tokenize_chinese_chars
																					_a      	=							normalizer_class(**lowerCAmelCase_   )

														_a      	=							do_lower_case







							def   __lowerCAmelCase     (    self			:    Union[str, Any]				,     lowerCAmelCase_			:    int				,     lowerCAmelCase_			:    Optional[Any]=None   )     ->				List[str]:


														"""simple docstring"""


														_a      	=							[self.cls_token_id] + token_ids_a + [self.sep_token_id]

														if token_ids_a:
																					output += token_ids_a + [self.sep_token_id]

														return output







							def   __lowerCAmelCase     (    self			:    Any				,     lowerCAmelCase_			:    List[int]				,     lowerCAmelCase_			:    Optional[List[int]] = None   )     ->				List[int]:


														"""simple docstring"""


														_a      	=							[self.sep_token_id]
														_a      	=							[self.cls_token_id]
														if token_ids_a is None:
																					return len(cls + token_ids_a + sep   ) * [0]
														return len(cls + token_ids_a + sep   ) * [0] + len(token_ids_a + sep   ) * [1]







							def   __lowerCAmelCase     (    self			:    Optional[Any]				,     lowerCAmelCase_			:    str				,     lowerCAmelCase_			:    Optional[str] = None   )     ->				Tuple[str]:


														"""simple docstring"""


														_a      	=							self._tokenizer.model.save(lowerCAmelCase_				,     name=lowerCAmelCase_   )
														return tuple(lowerCAmelCase_   )

