





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_splinter import SplinterTokenizer


__UpperCAmelCase						=      logging.get_logger(__name__)

__UpperCAmelCase						=      {"""vocab_file""": """vocab.txt"""}

__UpperCAmelCase						=      {
    """vocab_file""": {
        """tau/splinter-base""": """https://huggingface.co/tau/splinter-base/resolve/main/vocab.txt""",
        """tau/splinter-base-qass""": """https://huggingface.co/tau/splinter-base-qass/resolve/main/vocab.txt""",
        """tau/splinter-large""": """https://huggingface.co/tau/splinter-large/resolve/main/vocab.txt""",
        """tau/splinter-large-qass""": """https://huggingface.co/tau/splinter-large-qass/resolve/main/vocab.txt""",
    }
}

__UpperCAmelCase						=      {
    """tau/splinter-base""": 5_12,
    """tau/splinter-base-qass""": 5_12,
    """tau/splinter-large""": 5_12,
    """tau/splinter-large-qass""": 5_12,
}

__UpperCAmelCase						=      {
    """tau/splinter-base""": {"""do_lower_case""": False},
    """tau/splinter-base-qass""": {"""do_lower_case""": False},
    """tau/splinter-large""": {"""do_lower_case""": False},
    """tau/splinter-large-qass""": {"""do_lower_case""": False},
}

class 		__a							(	a_      ):
       __snake_case						:   Any      =		VOCAB_FILES_NAMES
       __snake_case						:   List[str]      =		PRETRAINED_VOCAB_FILES_MAP
       __snake_case						:   str      =		PRETRAINED_INIT_CONFIGURATION
       __snake_case						:   List[str]      =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       __snake_case						:   Any      =		SplinterTokenizer



       def __init__(     self	:   Tuple					,			UpperCAmelCase	:   List[Any]=None					,			UpperCAmelCase	:   int=None					,			UpperCAmelCase	:   Union[str, Any]=True					,			UpperCAmelCase	:   Tuple="[UNK]"					,			UpperCAmelCase	:   Optional[int]="[SEP]"					,			UpperCAmelCase	:   Any="[PAD]"					,			UpperCAmelCase	:   Optional[Any]="[CLS]"					,			UpperCAmelCase	:   str="[MASK]"					,			UpperCAmelCase	:   Optional[int]="[QUESTION]"					,			UpperCAmelCase	:   Dict=True					,			UpperCAmelCase	:   int=None					,			**UpperCAmelCase	:   List[Any]					,			):
           super().__init__(
               _snake_case					,			tokenizer_file=_snake_case					,			do_lower_case=_snake_case					,			unk_token=_snake_case					,			sep_token=_snake_case					,			pad_token=_snake_case					,			cls_token=_snake_case					,			mask_token=_snake_case					,			tokenize_chinese_chars=_snake_case					,			strip_accents=_snake_case					,			additional_special_tokens=(question_token,)					,			**_snake_case					,			)

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

           lowerCAmelCase_					:	Optional[int]						=   do_lower_case



       @property
       def  A							(     self	:   Dict			):
           return self.convert_tokens_to_ids(self.question_token			)



       def  A							(     self	:   Optional[Any]					,			UpperCAmelCase	:   List[str]					,			UpperCAmelCase	:   Union[str, Any] = None			):
           if token_ids_a is None:
               return [self.cls_token_id] + token_ids_a + [self.sep_token_id]

           lowerCAmelCase_					:	Optional[int]						=   [self.cls_token_id]
           lowerCAmelCase_					:	Any						=   [self.sep_token_id]
           lowerCAmelCase_					:	List[str]						=   [self.question_token_id] + [self.convert_tokens_to_ids("""."""			)]
           if self.padding_side == "right":
               # Input is question-then-context
               return cls + token_ids_a + question_suffix + sep + token_ids_a + sep
           else:
               # Input is context-then-question
               return cls + token_ids_a + sep + token_ids_a + question_suffix + sep



       def  A							(     self	:   Union[str, Any]					,			UpperCAmelCase	:   Dict					,			UpperCAmelCase	:   Dict = None			):
           lowerCAmelCase_					:	Optional[int]						=   [self.sep_token_id]
           lowerCAmelCase_					:	Dict						=   [self.cls_token_id]
           lowerCAmelCase_					:	Any						=   [self.question_token_id] + [self.convert_tokens_to_ids("""."""			)]
           if token_ids_a is None:
               return len(cls + token_ids_a + sep			) * [0]

           if self.padding_side == "right":
               # Input is question-then-context
               return len(cls + token_ids_a + question_suffix + sep			) * [0] + len(token_ids_a + sep			) * [1]
           else:
               # Input is context-then-question
               return len(cls + token_ids_a + sep			) * [0] + len(token_ids_a + question_suffix + sep			) * [1]



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









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]]


