
"""simple docstring"""




import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
				from transformers.pipelines.conversational import Conversation


A__      :	Optional[int]          =    logging.get_logger(__name__)

A__      :	Union[str, Any]          =    {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

A__      :	Any          =    {
    """tokenizer_file""": {
        """EleutherAI/gpt-neox-20b""": """https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/tokenizer.json""",
    },
}

A__      :	Any          =    {
    """gpt-neox-20b""": 2_048,
}







class   _lowercase						(       __lowercase				):


					'''simple docstring'''





					_A								=							VOCAB_FILES_NAMES
					_A								=							PRETRAINED_VOCAB_FILES_MAP
					_A								=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					_A								=							['input_ids', 'attention_mask']



					def __init__(      self ,			__UpperCamelCase=None ,			__UpperCamelCase=None ,			__UpperCamelCase=None ,			__UpperCamelCase="<|endoftext|>" ,			__UpperCamelCase="<|endoftext|>" ,			__UpperCamelCase="<|endoftext|>" ,			__UpperCamelCase=False ,			**__UpperCamelCase ,			)->					List[Any]:
										super().__init__(
										    __A ,			__A ,			tokenizer_file=__A ,			unk_token=__A ,			bos_token=__A ,			eos_token=__A ,			add_prefix_space=__A ,			**__A ,			)

										UpperCAmelCase__							: str 							=						json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()  )
										if pre_tok_state.get("add_prefix_space" ,			__A  ) != add_prefix_space:
															UpperCAmelCase__							: Tuple 							=						getattr(__A ,			pre_tok_state.pop("type"  )  )
															UpperCAmelCase__							: Optional[int] 							=						add_prefix_space
															UpperCAmelCase__							: List[str] 							=						pre_tok_class(**__A  )

										UpperCAmelCase__							: Optional[Any] 							=						add_prefix_space



					def  lowerCAmelCase__       (      self ,			__UpperCamelCase ,			__UpperCamelCase = None  )->					Tuple[str]:
										UpperCAmelCase__							: Optional[Any] 							=						self._tokenizer.model.save(__A ,			name=__A  )
										return tuple(__A  )



					def  lowerCAmelCase__       (      self ,			__UpperCamelCase  )->					List[int]:
										UpperCAmelCase__							: int 							=						[]
										for is_user, text in conversation.iter_texts():
															input_ids.extend(self.encode(__A ,			add_special_tokens=__A  ) + [self.eos_token_id]  )

										if len(__A  ) > self.model_max_length:
															UpperCAmelCase__							: int 							=						input_ids[-self.model_max_length :]
										return input_ids





"""simple docstring"""




from math import isqrt



def 							a__ (				lowerCAmelCase	:       int		):






     '''simple docstring'''
     UpperCAmelCase__							: Tuple 							=						[True] * max_number
     for i in range(2       ,    isqrt(max_number - 1		) + 1		):
          if is_prime[i]:
               for j in range(i**2       ,    lowerCAmelCase       ,    lowerCAmelCase		):
                    UpperCAmelCase__							: List[Any] 							=						False

     return [i for i in range(2       ,    lowerCAmelCase		) if is_prime[i]]



def 							a__ (				lowerCAmelCase	:       int = 10**8		):






     '''simple docstring'''
     UpperCAmelCase__							: Dict 							=						calculate_prime_numbers(max_number // 2		)

     UpperCAmelCase__							: Optional[int] 							=						0
     UpperCAmelCase__							: Optional[int] 							=						0
     UpperCAmelCase__							: Tuple 							=						len(lowerCAmelCase		) - 1
     while left <= right:
          while prime_numbers[left] * prime_numbers[right] >= max_number:
               right -= 1
          semiprimes_count += right - left + 1
          left += 1

     return semiprimes_count


if __name__ == "__main__":
    print(f"""{solution() = }""")



