


"""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:
   __snake_case												=							None

__snake_case												=							logging.get_logger(__name__)
__snake_case												=							{'''vocab_file''': '''tokenizer.model''', '''tokenizer_file''': '''tokenizer.json'''}

__snake_case						,__snake_case												=							'''[INST]''', '''[/INST]'''
__snake_case						,__snake_case												=							'''<<SYS>>\n''', '''\n<</SYS>>\n\n'''

# fmt: off
__snake_case												=							'''You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your\
answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure\
that your responses are socially unbiased and positive in nature.

If a question does not make any sense, or is not factually coherent, explain why instead of answering something not\
correct. If you don\'t know the answer to a question, please don\'t share false information.'''


class      __lowerCamelCase	(       _lowercase					):

     '''simple docstring'''
     A_							:						int     =		VOCAB_FILES_NAMES
     A_							:						Union[str, Any]     =		LlamaTokenizer
     A_							:						List[Any]     =		'''left'''
     A_							:						List[Any]     =		['''input_ids''', '''attention_mask''']


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

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


     def 				_UpperCAmelCase   (   self				)							->				List[Any]:
          _a     						=					self.bos_token
          _a     						=					self.bos_token_id

          _a     						=					self.eos_token
          _a     						=					self.eos_token_id

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

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


     @property
     def 				_UpperCAmelCase   (   self				)							->				Dict:
          return self._add_eos_token


     @property
     def 				_UpperCAmelCase   (   self				)							->				Tuple:
          return self._add_bos_token


     @add_eos_token.setter
     def 				_UpperCAmelCase   (   self     ,					__UpperCAmelCase				)							->				List[str]:
          _a     						=					value
          self.update_post_processor()


     @add_bos_token.setter
     def 				_UpperCAmelCase   (   self     ,					__UpperCAmelCase				)							->				Any:
          _a     						=					value
          self.update_post_processor()


     def 				_UpperCAmelCase   (   self     ,					__UpperCAmelCase     ,					__UpperCAmelCase = None				)							->				Tuple[str]:
          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(_SCREAMING_SNAKE_CASE				):
               logger.error(F'Vocabulary path ({save_directory}) should be a directory'				)
               return
          _a     						=					os.path.join(
              _SCREAMING_SNAKE_CASE     ,					(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']				)

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

          return (out_vocab_file,)





     def 				_UpperCAmelCase   (   self     ,					__UpperCAmelCase				)							->				Any:
          _a     						=					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...)'''				)

          _a     						=					[]
          if len(conversation.past_user_inputs				) > 0:
               if not conversation.past_user_inputs[0].startswith(_SCREAMING_SNAKE_CASE				) or E_SYS not in conversation.past_user_inputs[0]:
                    _a     						=					(
                        B_SYS + DEFAULT_SYSTEM_PROMPT + E_SYS + conversation.past_user_inputs[0]
                    )
          elif not dialogue[0][1].startswith(_SCREAMING_SNAKE_CASE				) or E_SYS not in dialogue[0][1]:
               _a     						=					(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=_SCREAMING_SNAKE_CASE				)
                  + [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=_SCREAMING_SNAKE_CASE				)
          return dialog_tokens



import math






def 	lowerCamelCase_       (			_a			):




		"""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 	lowerCamelCase_       (			_a = 1_000      ,  _a = 1_000			):




		"""simple docstring"""






		lowerCAmelCase__  :     Union[str, Any]       	=   [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			):
								lowerCAmelCase__  :     str       	=   0
								lowerCAmelCase__  :     int       	=   0
								while is_prime((n**2) + (a * n) + b			):
										count += 1
										n += 1
								if count > longest[0]:
										lowerCAmelCase__  :     Dict       	=   [count, a, b]
		lowerCAmelCase__  :     int       	=   longest[1] * longest[2]
		return ans


if __name__ == "__main__":
		print(solution(1000, 1000))




