'''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	:					int					=  logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE	:					List[str]					=  {"vocab_file": "vocab.txt"}

__SCREAMING_SNAKE_CASE	:					Any					=  {
    "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	:					int					=  {
    "tau/splinter-base": 512,
    "tau/splinter-base-qass": 512,
    "tau/splinter-large": 512,
    "tau/splinter-large-qass": 512,
}

__SCREAMING_SNAKE_CASE	:					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      lowerCamelCase_     (SCREAMING_SNAKE_CASE_   ):
      '''simple docstring'''

      __UpperCamelCase:  List[Any]      =						VOCAB_FILES_NAMES
      __UpperCamelCase:  int      =						PRETRAINED_VOCAB_FILES_MAP
      __UpperCamelCase:  int      =						PRETRAINED_INIT_CONFIGURATION
      __UpperCamelCase:  Optional[Any]      =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __UpperCamelCase:  List[Any]      =						SplinterTokenizer




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

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

             _UpperCAmelCase					:  str											=   do_lower_case




      @property
      def 					_A     (	self						:    Optional[int]	):
             return self.convert_tokens_to_ids(self.question_token	)




      def 					_A     (	self						:    Optional[int]						, A						:    List[str]						, A						:    Any = None	):






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

             _UpperCAmelCase					:  Optional[int]											=   [self.cls_token_id]
             _UpperCAmelCase					:  Dict											=   [self.sep_token_id]
             _UpperCAmelCase					:  Any											=   [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						:    Any						, A						:    Dict						, A						:    Any = None	):
             _UpperCAmelCase					:  List[str]											=   [self.sep_token_id]
             _UpperCAmelCase					:  str											=   [self.cls_token_id]
             _UpperCAmelCase					:  List[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						:    Dict						, A						:    List[str]						, A						:    Union[str, Any] = None	):
             _UpperCAmelCase					:  Optional[Any]											=   self._tokenizer.model.save(SCREAMING_SNAKE_CASE_						, name=SCREAMING_SNAKE_CASE_	)
             return tuple(SCREAMING_SNAKE_CASE_	)


'''simple docstring'''




from itertools import compress, repeat
from math import ceil, sqrt

def      UpperCamelCase_							( _UpperCAmelCase  :				int   )   ->   list[int]:


       """simple docstring"""







       if num <= 2:
              return []
       if num == 3:
              return [2]

       # Odd sieve for numbers in range [3, num - 1]
       _UpperCAmelCase					:  Optional[int]											=   bytearray(b"\x01"   ) * ((num >> 1) - 1)

       for i in range(3      ,     int(sqrt(_UpperCAmelCase   )   ) + 1      ,     2   ):
              if sieve[(i >> 1) - 1]:
                     _UpperCAmelCase					:  List[Any]											=   i**2
                     _UpperCAmelCase					:  Optional[int]											=   repeat(
                         0      ,     ceil((num - i_squared) / (i << 1)   )   )

       return [2] + list(compress(range(3      ,     _UpperCAmelCase      ,     2   )      ,     _UpperCAmelCase   )   )


if __name__ == "__main__":
  import doctest

  doctest.testmod()

