

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


_UpperCAmelCase						:  Tuple									=			logging.get_logger(__name__)

_UpperCAmelCase						:  List[Any]									=			{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

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

_UpperCAmelCase						:  Optional[int]									=			{
    """gpt-neox-20b""": 2048,
}







class 					lowercase							(			lowercase_     ):
				__SCREAMING_SNAKE_CASE   :					int			     =     VOCAB_FILES_NAMES
				__SCREAMING_SNAKE_CASE   :					List[str]			     =     PRETRAINED_VOCAB_FILES_MAP
				__SCREAMING_SNAKE_CASE   :					Optional[Any]			     =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__SCREAMING_SNAKE_CASE   :					Union[str, Any]			     =     ['''input_ids''', '''attention_mask''']




				def __init__(   self ,  snake_case=None ,  snake_case=None ,  snake_case=None ,  snake_case="<|endoftext|>" ,  snake_case="<|endoftext|>" ,  snake_case="<|endoftext|>" ,  snake_case=False ,  **snake_case ,  ):
											super().__init__(
											    snake_case ,  snake_case ,  tokenizer_file=snake_case ,  unk_token=snake_case ,  bos_token=snake_case ,  eos_token=snake_case ,  add_prefix_space=snake_case ,  **snake_case ,  )

											snake_case_     							=       json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()			)
											if pre_tok_state.get('add_prefix_space' ,  snake_case			) != add_prefix_space:
																		snake_case_     							=       getattr(snake_case ,  pre_tok_state.pop('type'			)			)
																		snake_case_     							=       add_prefix_space
																		snake_case_     							=       pre_tok_class(**snake_case			)

											snake_case_     							=       add_prefix_space




				def        a				(   self ,  snake_case ,  snake_case = None			):
											snake_case_     							=       self._tokenizer.model.save(snake_case ,  name=snake_case			)
											return tuple(snake_case			)




				def        a				(   self ,  snake_case			):
											snake_case_     							=       []
											for is_user, text in conversation.iter_texts():
																		input_ids.extend(self.encode(snake_case ,  add_special_tokens=snake_case			) + [self.eos_token_id]			)

											if len(snake_case			) > self.model_max_length:
																		snake_case_     							=       input_ids[-self.model_max_length :]
											return input_ids







from math import sqrt





def    __lowerCamelCase      (					UpperCamelCase__ ):







							'''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(sqrt(UpperCamelCase__ ) + 1 )  ,				6 ):
														if number % i == 0 or number % (i + 2) == 0:
																					return False
							return True





def    __lowerCamelCase      (					UpperCamelCase__ = 10001 ):







							'''simple docstring'''






							snake_case_     							=       0
							snake_case_     							=       1
							while count != nth and number < 3:
														number += 1
														if is_prime(UpperCamelCase__ ):
																					count += 1
							while count != nth:
														number += 2
														if is_prime(UpperCamelCase__ ):
																					count += 1
							return number


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




