





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mpnet import MPNetTokenizer


__UpperCAmelCase						=      logging.get_logger(__name__)

__UpperCAmelCase						=      {'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

__UpperCAmelCase						=      {
    'vocab_file': {
        'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt',
    },
    'tokenizer_file': {
        'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json',
    },
}

__UpperCAmelCase						=      {
    'microsoft/mpnet-base': 5_12,
}

__UpperCAmelCase						=      {
    'microsoft/mpnet-base': {'do_lower_case': True},
}

class 		__a							(	__UpperCamelCase      ):
       __snake_case						:   int      =		VOCAB_FILES_NAMES
       __snake_case						:   str      =		PRETRAINED_VOCAB_FILES_MAP
       __snake_case						:   Optional[int]      =		PRETRAINED_INIT_CONFIGURATION
       __snake_case						:   Optional[Any]      =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       __snake_case						:   Dict      =		MPNetTokenizer
       __snake_case						:   List[Any]      =		["""input_ids""", """attention_mask"""]



       def __init__(     self	:   Optional[Any]					,			UpperCAmelCase	:   Any=None					,			UpperCAmelCase	:   Any=None					,			UpperCAmelCase	:   str=True					,			UpperCAmelCase	:   Dict="<s>"					,			UpperCAmelCase	:   Dict="</s>"					,			UpperCAmelCase	:   Dict="</s>"					,			UpperCAmelCase	:   Union[str, Any]="<s>"					,			UpperCAmelCase	:   Tuple="[UNK]"					,			UpperCAmelCase	:   Tuple="<pad>"					,			UpperCAmelCase	:   Any="<mask>"					,			UpperCAmelCase	:   Union[str, Any]=True					,			UpperCAmelCase	:   int=None					,			**UpperCAmelCase	:   Tuple					,			):
           super().__init__(
               UpperCAmelCase					,			tokenizer_file=UpperCAmelCase					,			do_lower_case=UpperCAmelCase					,			bos_token=UpperCAmelCase					,			eos_token=UpperCAmelCase					,			sep_token=UpperCAmelCase					,			cls_token=UpperCAmelCase					,			unk_token=UpperCAmelCase					,			pad_token=UpperCAmelCase					,			mask_token=UpperCAmelCase					,			tokenize_chinese_chars=UpperCAmelCase					,			strip_accents=UpperCAmelCase					,			**UpperCAmelCase					,			)

           lowerCAmelCase_					:	List[str]						=   json.loads(self.backend_tokenizer.normalizer.__getstate__()			)
           if (
               pre_tok_state.get("""lowercase"""					,			UpperCAmelCase			) != do_lower_case
               or pre_tok_state.get("""strip_accents"""					,			UpperCAmelCase			) != strip_accents
           ):
               lowerCAmelCase_					:	Optional[int]						=   getattr(UpperCAmelCase					,			pre_tok_state.pop("""type"""			)			)
               lowerCAmelCase_					:	List[Any]						=   do_lower_case
               lowerCAmelCase_					:	List[Any]						=   strip_accents
               lowerCAmelCase_					:	Tuple						=   pre_tok_class(**UpperCAmelCase			)

           lowerCAmelCase_					:	Union[str, Any]						=   do_lower_case



       @property
       def  A							(     self	:   List[Any]			):
           if self._mask_token is None:
               if self.verbose:
                   logger.error("""Using mask_token, but it is not set yet."""			)
               return None
           return str(self._mask_token			)



       @mask_token.setter
       def  A							(     self	:   List[str]					,			UpperCAmelCase	:   str			):
           lowerCAmelCase_					:	Optional[int]						=   AddedToken(UpperCAmelCase					,			lstrip=UpperCAmelCase					,			rstrip=UpperCAmelCase			) if isinstance(UpperCAmelCase					,			UpperCAmelCase			) else value
           lowerCAmelCase_					:	List[Any]						=   value



       def  A							(     self	:   Any					,			UpperCAmelCase	:   Optional[int]					,			UpperCAmelCase	:   Optional[int]=None			):
           lowerCAmelCase_					:	List[str]						=   [self.bos_token_id] + token_ids_a + [self.eos_token_id]
           if token_ids_a is None:
               return output

           return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]



       def  A							(     self	:   int					,			UpperCAmelCase	:   Dict					,			UpperCAmelCase	:   Tuple = None			):
           lowerCAmelCase_					:	int						=   [self.sep_token_id]
           lowerCAmelCase_					:	int						=   [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 + sep + token_ids_a + sep			) * [0]



       def  A							(     self	:   Dict					,			UpperCAmelCase	:   Union[str, Any]					,			UpperCAmelCase	:   Union[str, Any] = None			):
           lowerCAmelCase_					:	str						=   self._tokenizer.model.save(UpperCAmelCase					,			name=UpperCAmelCase			)
           return tuple(UpperCAmelCase			)









import unittest

from transformers import BlenderbotTokenizer, BlenderbotTokenizerFast
from transformers.utils import cached_property

class 		__a							(	unittest.TestCase      ):



       @cached_property
       def  A							(     self	:   Optional[int]			):
           return BlenderbotTokenizer.from_pretrained("""facebook/blenderbot-3B"""			)



       @cached_property
       def  A							(     self	:   Optional[int]			):
           return BlenderbotTokenizerFast.from_pretrained("""facebook/blenderbot-3B"""			)



       def  A							(     self	:   Optional[Any]			):
           lowerCAmelCase_					:	List[str]						=   self.tokenizer_ab
           lowerCAmelCase_					:	Any						=   """ I am a small frog."""
           lowerCAmelCase_					:	Union[str, Any]						=   tok([src_text]					,			padding=UpperCAmelCase					,			truncation=UpperCAmelCase			)["""input_ids"""]
           lowerCAmelCase_					:	int						=   tok.batch_decode(UpperCAmelCase					,			skip_special_tokens=UpperCAmelCase					,			clean_up_tokenization_spaces=UpperCAmelCase			)[0]
           assert src_text == decoded



       def  A							(     self	:   List[Any]			):
           lowerCAmelCase_					:	Dict						=   self.rust_tokenizer_ab
           lowerCAmelCase_					:	str						=   """ I am a small frog."""
           lowerCAmelCase_					:	Tuple						=   tok([src_text]					,			padding=UpperCAmelCase					,			truncation=UpperCAmelCase			)["""input_ids"""]
           lowerCAmelCase_					:	int						=   tok.batch_decode(UpperCAmelCase					,			skip_special_tokens=UpperCAmelCase					,			clean_up_tokenization_spaces=UpperCAmelCase			)[0]
           assert src_text == decoded



       def  A							(     self	:   str			):
           assert self.tokenizer_ab.add_prefix_space
           assert self.tokenizer_ab([""" Sam""", """Sam"""]			).input_ids == [[55_02, 2], [55_02, 2]]



       def  A							(     self	:   List[str]			):
           assert self.rust_tokenizer_ab.add_prefix_space
           assert self.rust_tokenizer_ab([""" Sam""", """Sam"""]			).input_ids == [[55_02, 2], [55_02, 2]]


