'''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


lowerCAmelCase_			:			List[str]    	=   logging.get_logger(__name__)

lowerCAmelCase_			:			Optional[int]    	=   {"""vocab_file""": """vocab.txt"""}

lowerCAmelCase_			:			int    	=   {
    """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""",
    }
}

lowerCAmelCase_			:			Tuple    	=   {
    """tau/splinter-base""": 512,
    """tau/splinter-base-qass""": 512,
    """tau/splinter-large""": 512,
    """tau/splinter-large-qass""": 512,
}

lowerCAmelCase_			:			List[str]    	=   {
    """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 				lowercase    (    a__			):
   lowerCamelCase_            =VOCAB_FILES_NAMES
   lowerCamelCase_            =PRETRAINED_VOCAB_FILES_MAP
   lowerCamelCase_            =PRETRAINED_INIT_CONFIGURATION
   lowerCamelCase_            =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowerCamelCase_            =SplinterTokenizer


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

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

         lowercase_     			=   do_lower_case


   @property
   def __UpperCAmelCase							( self					:						int)   ->       Any:
         return self.convert_tokens_to_ids(self.question_token)


   def __UpperCAmelCase							( self					:						int ,		__lowerCAmelCase					:						Dict ,		__lowerCAmelCase					:						Dict = None)   ->       List[int]:







         if token_ids_a is None:
               return [self.cls_token_id] + token_ids_a + [self.sep_token_id]

         lowercase_     			=   [self.cls_token_id]
         lowercase_     			=   [self.sep_token_id]
         lowercase_     			=   [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 __UpperCAmelCase							( self					:						Dict ,		__lowerCAmelCase					:						str ,		__lowerCAmelCase					:						List[Any] = None)   ->       List[int]:
         lowercase_     			=   [self.sep_token_id]
         lowercase_     			=   [self.cls_token_id]
         lowercase_     			=   [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 __UpperCAmelCase							( self					:						Tuple ,		__lowerCAmelCase					:						int ,		__lowerCAmelCase					:						List[Any] = None)   ->       Tuple[str]:
         lowercase_     			=   self._tokenizer.model.save(__A ,		name=__A)
         return tuple(__A)










'''simple docstring'''




def 				a_							(    lowercase				,    lowercase     )      ->list:






				'''simple docstring'''

				__lowerCamelCase		:   int           =       len(lowercase     )
				__lowerCamelCase		:   int           =       len(lowercase     )
				__lowerCamelCase		:   int           =       (
				    first_input_list_length
				    if first_input_list_length > second_input_list_length
				    else second_input_list_length
				)
				__lowerCamelCase		:   list           =       []
				for char_count in range(lowercase     ):
								if char_count < first_input_list_length:
												output_result_list.append(first_input_list[char_count]     )
								if char_count < second_input_list_length:
												output_result_list.append(second_input_list[char_count]     )

				return output_result_list


if __name__ == "__main__":
				print(alternative_list_arrange(["""A""", """B""", """C"""], [1, 2, 3, 4, 5]), end=""" """)





