






'''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_splinter import SplinterTokenizer


_SCREAMING_SNAKE_CASE			=							logging.get_logger(__name__)

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

_SCREAMING_SNAKE_CASE			=							{
    "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",
    }
}

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

_SCREAMING_SNAKE_CASE			=							{
    "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 				lowerCAmelCase_						(						__magic_name__						):
 __lowerCamelCase  :							List[str]    					=   VOCAB_FILES_NAMES
 __lowerCamelCase  :							List[Any]    					=   PRETRAINED_VOCAB_FILES_MAP
 __lowerCamelCase  :							Union[str, Any]    					=   PRETRAINED_INIT_CONFIGURATION
 __lowerCamelCase  :							Any    					=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowerCamelCase  :							str    					=   SplinterTokenizer




 def __init__(		self     ,       _lowerCAmelCase=None     ,       _lowerCAmelCase=None     ,       _lowerCAmelCase=True     ,       _lowerCAmelCase="[UNK]"     ,       _lowerCAmelCase="[SEP]"     ,       _lowerCAmelCase="[PAD]"     ,       _lowerCAmelCase="[CLS]"     ,       _lowerCAmelCase="[MASK]"     ,       _lowerCAmelCase="[QUESTION]"     ,       _lowerCAmelCase=True     ,       _lowerCAmelCase=None     ,       **_lowerCAmelCase     ,       )      ->							List[str]:
     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     ,       additional_special_tokens=(question_token,)     ,       **_lowerCAmelCase     ,       )

     _lowerCAmelCase		     = json.loads(self.backend_tokenizer.normalizer.__getstate__()						)
     if (
         pre_tok_state.get("lowercase"     ,       _lowerCAmelCase						) != do_lower_case
         or pre_tok_state.get("strip_accents"     ,       _lowerCAmelCase						) != strip_accents
     ):
         _lowerCAmelCase		     = getattr(_lowerCAmelCase     ,       pre_tok_state.pop("type"						)						)
         _lowerCAmelCase		     = do_lower_case
         _lowerCAmelCase		     = strip_accents
         _lowerCAmelCase		     = pre_tok_class(**_lowerCAmelCase						)

     _lowerCAmelCase		     = do_lower_case




 @property
 def 							_snake_case				(		self						)      ->							str:
     return self.convert_tokens_to_ids(self.question_token						)




 def 							_snake_case				(		self     ,       _lowerCAmelCase     ,       _lowerCAmelCase = None						)      ->							List[int]:
     if token_ids_a is None:
         return [self.cls_token_id] + token_ids_a + [self.sep_token_id]

     _lowerCAmelCase		     = [self.cls_token_id]
     _lowerCAmelCase		     = [self.sep_token_id]
     _lowerCAmelCase		     = [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 							_snake_case				(		self     ,       _lowerCAmelCase     ,       _lowerCAmelCase = None						)      ->							List[int]:
     _lowerCAmelCase		     = [self.sep_token_id]
     _lowerCAmelCase		     = [self.cls_token_id]
     _lowerCAmelCase		     = [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 							_snake_case				(		self     ,       _lowerCAmelCase     ,       _lowerCAmelCase = None						)      ->							Tuple[str]:
     _lowerCAmelCase		     = self._tokenizer.model.save(_lowerCAmelCase     ,       name=_lowerCAmelCase						)
     return tuple(_lowerCAmelCase						)









'''simple docstring'''


def 		__a(SCREAMING_SNAKE_CASE_					:   List[Any]						,    SCREAMING_SNAKE_CASE_					:   str      ):



    '''simple docstring'''





    if n < 0:
        return 0
    # table[i] represents the number of ways to get to amount i
    _lowerCAmelCase		     = [0] * (n + 1)

    # There is exactly 1 way to get to zero(You pick no coins).
    _lowerCAmelCase		     = 1

    # Pick all coins one by one and update table[] values
    # after the index greater than or equal to the value of the
    # picked coin
    for coin_val in s:
        for j in range(SCREAMING_SNAKE_CASE_						,    n + 1      ):
            table[j] += table[j - coin_val]

    return table[n]


if __name__ == "__main__":
       import doctest

       doctest.testmod()


