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

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
							from transformers.pipelines.conversational import Conversation


lowercase__		:Tuple   =    logging.get_logger(__name__)

lowercase__		:Dict   =    {"tokenizer_file": "tokenizer.json"}

lowercase__		:Dict   =    {
    "tokenizer_file": {
        "bigscience/tokenizer": "https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json",
        "bigscience/bloom-560m": "https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json",
        "bigscience/bloom-1b1": "https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json",
        "bigscience/bloom-1b7": "https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json",
        "bigscience/bloom-3b": "https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json",
        "bigscience/bloom-7b1": "https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json",
        "bigscience/bloom": "https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json",
    },
}







class 				lowercase		(					SCREAMING_SNAKE_CASE__		):
							lowercase_       :       Optional[int]       					=VOCAB_FILES_NAMES
							lowercase_       :       Union[str, Any]       					=PRETRAINED_VOCAB_FILES_MAP
							lowercase_       :       Any       					=['''input_ids''', '''attention_mask''']
							lowercase_       :       List[str]       					=None




							def __init__(				self   ,A__=None   ,A__=None   ,A__=None   ,A__="<unk>"   ,A__="<s>"   ,A__="</s>"   ,A__="<pad>"   ,A__=False   ,A__=False   ,**A__   ,):
												super().__init__(
												    A__   ,A__   ,tokenizer_file=A__   ,unk_token=A__   ,bos_token=A__   ,eos_token=A__   ,pad_token=A__   ,add_prefix_space=A__   ,clean_up_tokenization_spaces=A__   ,**A__   ,)
												lowercase							=						json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__())
												if pre_tok_state.get('''add_prefix_space'''   ,A__) != add_prefix_space:
																	lowercase							=						getattr(A__   ,pre_tok_state.pop('''type'''))
																	lowercase							=						add_prefix_space
																	lowercase							=						pre_tok_class(**A__)

												lowercase							=						add_prefix_space




							def  A__      (				self   ,*A__   ,**A__):
												lowercase							=						kwargs.get('''is_split_into_words'''   ,A__)
												if not (self.add_prefix_space or not is_split_into_words):
																	raise Exception(
																	    f'You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'
																	    ''' pretokenized inputs.''')

												return super()._batch_encode_plus(*A__   ,**A__)




							def  A__      (				self   ,*A__   ,**A__):
												lowercase							=						kwargs.get('''is_split_into_words'''   ,A__)

												if not (self.add_prefix_space or not is_split_into_words):
																	raise Exception(
																	    f'You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'
																	    ''' pretokenized inputs.''')

												return super()._encode_plus(*A__   ,**A__)




							def  A__      (				self   ,A__   ,A__ = None):
												lowercase							=						self._tokenizer.model.save(A__   ,name=A__)
												return tuple(A__)





							def  A__      (				self   ,A__):
												lowercase							=						[]
												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:
																	lowercase							=						input_ids[-self.model_max_length :]
												return input_ids






import random

from .binary_exp_mod import bin_exp_mod



def        UpperCamelCase    (							lowerCAmelCase__ ,			lowerCAmelCase__=1000		):
					'''simple docstring'''
					if n < 2:
										return False

					if n % 2 == 0:
										return n == 2

					# this means n is odd
					lowercase							=						n - 1
					lowercase							=						0
					while d % 2 == 0:
										d /= 2
										exp += 1

					# n - 1=d*(2**exp)
					lowercase							=						0
					while count < prec:
										lowercase							=						random.randint(2 ,			n - 1		)
										lowercase							=						bin_exp_mod(lowerCAmelCase__ ,			lowerCAmelCase__ ,			lowerCAmelCase__		)
										if b != 1:
															lowercase							=						True
															for _ in range(lowerCAmelCase__		):
																				if b == n - 1:
																									lowercase							=						False
																									break
																				lowercase							=						b * b
																				b %= n
															if flag:
																				return False
															count += 1
					return True


if __name__ == "__main__":
							lowercase__		:Tuple   =    abs(int(input("Enter bound : ").strip()))
							print("Here's the list of primes:")
							print(", ".join(str(i) for i in range(n + 1) if is_prime_big(i)))




