


'''simple docstring'''







import os
from shutil import copyfile
from typing import TYPE_CHECKING, Optional, Tuple

from tokenizers import processors

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
from ...utils.versions import require_version


if TYPE_CHECKING:
  from transformers.pipelines.conversational import Conversation

require_version('tokenizers>=0.13.3')

if is_sentencepiece_available():
  from .tokenization_llama import LlamaTokenizer
else:
  a__  : str				=	None

a__  : Optional[Any]				=	logging.get_logger(__name__)
a__  : List[str]				=	{'vocab_file': 'tokenizer.model', 'tokenizer_file': 'tokenizer.json'}

a__			,			a__  : int				=	'[INST]', '[/INST]'
a__			,			a__  : List[Any]				=	'<<SYS>>\n', '\n<</SYS>>\n\n'

# fmt: off
a__  : Optional[Any]				=	'You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your\\nanswers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure\\nthat your responses are socially unbiased and positive in nature.\n\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not\\ncorrect. If you don\'t know the answer to a question, please don\'t share false information.'
class  lowercase_					(   a__       ):
    __UpperCAmelCase             =     VOCAB_FILES_NAMES
    __UpperCAmelCase             =     LlamaTokenizer
    __UpperCAmelCase             =     'left'
    __UpperCAmelCase             =     ['input_ids', 'attention_mask']


    def __init__(					self  , a=None  , a=None  , a=False  , a="<unk>"  , a="<s>"  , a="</s>"  , a=True  , a=False  , **a  , ):
          super().__init__(
              vocab_file=a  , tokenizer_file=a  , clean_up_tokenization_spaces=a  , unk_token=a  , bos_token=a  , eos_token=a  , **a  , )
          UpperCamelCase__  =    add_bos_token
          UpperCamelCase__  =    add_eos_token
          self.update_post_processor()

          UpperCamelCase__  =    vocab_file
          UpperCamelCase__  =    False if not self.vocab_file else True


    def        __a							(					self   ):
          UpperCamelCase__  =    self.bos_token
          UpperCamelCase__  =    self.bos_token_id

          UpperCamelCase__  =    self.eos_token
          UpperCamelCase__  =    self.eos_token_id

          UpperCamelCase__  =    f'''{(bos+':0 ') * self.add_bos_token}$A:0{(' '+eos+':0') * self.add_eos_token}'''
          UpperCamelCase__  =    f'''{single}{(' '+bos+':1') * self.add_bos_token} $B:1{(' '+eos+':1') * self.add_eos_token}'''

          UpperCamelCase__  =    []
          if self.add_bos_token:
                special_tokens.append((bos, bos_token_id)   )
          if self.add_eos_token:
                special_tokens.append((eos, eos_token_id)   )
          UpperCamelCase__  =    processors.TemplateProcessing(
              single=a  , pair=a  , special_tokens=a   )


    @property
    def        __a							(					self   ):
          return self._add_eos_token


    @property
    def        __a							(					self   ):
          return self._add_bos_token


    @add_eos_token.setter
    def        __a							(					self  , a   ):
          UpperCamelCase__  =    value
          self.update_post_processor()


    @add_bos_token.setter
    def        __a							(					self  , a   ):
          UpperCamelCase__  =    value
          self.update_post_processor()


    def        __a							(					self  , a  , a = None   ):
          if not self.can_save_slow_tokenizer:
                raise ValueError(
                    "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
                    "tokenizer."   )

          if not os.path.isdir(a   ):
                logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''   )
                return
          UpperCamelCase__  =    os.path.join(
              a  , (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]   )

          if os.path.abspath(self.vocab_file   ) != os.path.abspath(a   ):
                copyfile(self.vocab_file  , a   )

          return (out_vocab_file,)


    def        __a							(					self  , a   ):
          UpperCamelCase__  =    list(conversation.iter_texts()   )
          if not all([is_user for is_user, msg in dialogue[::2]]   ) or not all(
              [not is_user for is_user, msg in dialogue[1::2]]   ):
                raise ValueError(
                    "The model only supports 'user' and 'assistant' roles, starting with user and alternating (u/a/u/a/u...)"   )

          UpperCamelCase__  =    []
          if len(conversation.past_user_inputs   ) > 0:
                if not conversation.past_user_inputs[0].startswith(a   ) or E_SYS not in conversation.past_user_inputs[0]:
                      UpperCamelCase__  =    (
                          B_SYS + DEFAULT_SYSTEM_PROMPT + E_SYS + conversation.past_user_inputs[0]
                      )
          elif not dialogue[0][1].startswith(a   ) or E_SYS not in dialogue[0][1]:
                UpperCamelCase__  =    (dialogue[0][0], B_SYS + DEFAULT_SYSTEM_PROMPT + E_SYS + dialogue[0][1])

          dialog_tokens += sum(
              [
                  [self.bos_token_id]
                  + self.encode(
                      f'''{B_INST} {(prompt[1]).strip()} {E_INST} {(answer[1]).strip()} '''  , add_special_tokens=a   )
                  + [self.eos_token_id]
                  for prompt, answer in zip(dialogue[::2]  , dialogue[1::2]   )
              ]  , []  , )
          if not (dialogue[-1][0]):
                raise ValueError(f'''Last message must be from user, got {dialogue[-1]['role']}'''   )
          dialog_tokens += [self.bos_token_id] + self.encode(
              f'''{B_INST} {(dialogue[-1][1]).strip()} {E_INST}'''  , add_special_tokens=a   )
          return dialog_tokens









'''simple docstring'''







import math







def _UpperCamelCase	(					__A   )							->		bool:


      '''simple docstring'''



      if 1 < number < 4:
            # 2 and 3 are primes
            return True
      elif number < 2 or number % 2 == 0 or number % 3 == 0:
            # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
            return False

      # All primes number are in format of 6k +/- 1
      for i in range(5				,      int(math.sqrt(__A   ) + 1   )				,      6   ):
            if number % i == 0 or number % (i + 2) == 0:
                  return False
      return True







def _UpperCamelCase	(					__A = 1000				,      __A = 1000   )							->		int:


      '''simple docstring'''



      UpperCamelCase__  =    [0, 0, 0]  # length, a, b
      for a in range((a_limit * -1) + 1				,      __A   ):
            for b in range(2				,      __A   ):
                  if is_prime(__A   ):
                        UpperCamelCase__  =    0
                        UpperCamelCase__  =    0
                        while is_prime((n**2) + (a * n) + b   ):
                              count += 1
                              n += 1
                        if count > longest[0]:
                              UpperCamelCase__  =    [count, a, b]
      UpperCamelCase__  =    longest[1] * longest[2]
      return ans


if __name__ == "__main__":
  print(solution(1_0_0_0, 1_0_0_0))





