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


_lowerCamelCase					:   Tuple							=		logging.get_logger(__name__)

_lowerCamelCase					:   Optional[Any]							=		{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

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

_lowerCamelCase					:   int							=		{
    '''gpt-neox-20b''': 20_48,
}


class 						lowercase    (     a     ):
							lowercase__						:       str								=							VOCAB_FILES_NAMES
							lowercase__						:       List[str]								=							PRETRAINED_VOCAB_FILES_MAP
							lowercase__						:       Dict								=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase__						:       Any								=							["""input_ids""", """attention_mask"""]




							def __init__(						self   :					List[str]	,							_UpperCamelCase   :					Dict=None	,							_UpperCamelCase   :					List[str]=None	,							_UpperCamelCase   :					Union[str, Any]=None	,							_UpperCamelCase   :					List[str]="<|endoftext|>"	,							_UpperCamelCase   :					Tuple="<|endoftext|>"	,							_UpperCamelCase   :					Union[str, Any]="<|endoftext|>"	,							_UpperCamelCase   :					Union[str, Any]=False	,							**_UpperCamelCase   :					Any	,							)					->				List[Any]:



												'''simple docstring'''

												super().__init__(
												    _UpperCamelCase	,							_UpperCamelCase	,							tokenizer_file=_UpperCamelCase	,							unk_token=_UpperCamelCase	,							bos_token=_UpperCamelCase	,							eos_token=_UpperCamelCase	,							add_prefix_space=_UpperCamelCase	,							**_UpperCamelCase	,							)

												SCREAMING_SNAKE_CASE    			=       json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()      )
												if pre_tok_state.get("add_prefix_space"	,							_UpperCamelCase      ) != add_prefix_space:
																	SCREAMING_SNAKE_CASE    			=       getattr(_UpperCamelCase	,							pre_tok_state.pop("type"      )      )
																	SCREAMING_SNAKE_CASE    			=       add_prefix_space
																	SCREAMING_SNAKE_CASE    			=       pre_tok_class(**_UpperCamelCase      )

												SCREAMING_SNAKE_CASE    			=       add_prefix_space




							def 	__snake_case(						self   :					str	,							_UpperCamelCase   :					str	,							_UpperCamelCase   :					Optional[str] = None      )					->				Tuple[str]:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE    			=       self._tokenizer.model.save(_UpperCamelCase	,							name=_UpperCamelCase      )
												return tuple(_UpperCamelCase      )





							def 	__snake_case(						self   :					List[Any]	,							_UpperCamelCase   :					"Conversation"      )					->				List[int]:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE    			=       []
												for is_user, text in conversation.iter_texts():
																	input_ids.extend(self.encode(_UpperCamelCase	,							add_special_tokens=_UpperCamelCase      ) + [self.eos_token_id]      )

												if len(_UpperCamelCase      ) > self.model_max_length:
																	SCREAMING_SNAKE_CASE    			=       input_ids[-self.model_max_length :]
												return input_ids





from __future__ import annotations

import math





def 	__lowerCamelCase							(UpperCAmelCase__     :							int  ):

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


_lowerCamelCase					:   Tuple							=		[num for num in range(3, 10_00_01, 2) if not is_prime(num)]





def 	__lowerCamelCase							(UpperCAmelCase__     :							int  ):
					if not isinstance(UpperCAmelCase__      , UpperCAmelCase__  ):
										raise ValueError("n must be an integer"  )
					if n <= 0:
										raise ValueError("n must be >= 0"  )

					SCREAMING_SNAKE_CASE    			=       []
					for num in range(len(UpperCAmelCase__  )  ):
										SCREAMING_SNAKE_CASE    			=       0
										while 2 * i * i <= odd_composites[num]:
															SCREAMING_SNAKE_CASE    			=       odd_composites[num] - 2 * i * i
															if is_prime(UpperCAmelCase__  ):
																				break
															i += 1
										else:
															list_nums.append(odd_composites[num]  )
															if len(UpperCAmelCase__  ) == n:
																				return list_nums

					return []





def 	__lowerCamelCase							():
					return compute_nums(1  )[0]


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




