



'''simple docstring'''




import json
import os
from typing import Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCamelCase							:Optional[Any]				    =					logging.get_logger(__name__)

lowerCamelCase							:List[Any]				    =					{
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

lowerCamelCase							:List[Any]				    =					{
    '''vocab_file''': {'''ctrl''': '''https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json'''},
    '''merges_file''': {'''ctrl''': '''https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt'''},
}

lowerCamelCase							:Tuple				    =					{
    '''ctrl''': 2_5_6,
}

lowerCamelCase							:Dict				    =					{
    '''Pregnancy''': 1_6_8_6_2_9,
    '''Christianity''': 7_6_7_5,
    '''Explain''': 1_0_6_4_2_3,
    '''Fitness''': 6_3_4_4_0,
    '''Saving''': 6_3_1_6_3,
    '''Ask''': 2_7_1_7_1,
    '''Ass''': 9_5_9_8_5,
    '''Joke''': 1_6_3_5_0_9,
    '''Questions''': 4_5_6_2_2,
    '''Thoughts''': 4_9_6_0_5,
    '''Retail''': 5_2_3_4_2,
    '''Feminism''': 1_6_4_3_3_8,
    '''Writing''': 1_1_9_9_2,
    '''Atheism''': 1_9_2_2_6_3,
    '''Netflix''': 4_8_6_1_6,
    '''Computing''': 3_9_6_3_9,
    '''Opinion''': 4_3_2_1_3,
    '''Alone''': 4_4_9_6_7,
    '''Funny''': 5_8_9_1_7,
    '''Gaming''': 4_0_3_5_8,
    '''Human''': 4_0_8_8,
    '''India''': 1_3_3_1,
    '''Joker''': 7_7_1_3_8,
    '''Diet''': 3_6_2_0_6,
    '''Legal''': 1_1_8_5_9,
    '''Norman''': 4_9_3_9,
    '''Tip''': 7_2_6_8_9,
    '''Weight''': 5_2_3_4_3,
    '''Movies''': 4_6_2_7_3,
    '''Running''': 2_3_4_2_5,
    '''Science''': 2_0_9_0,
    '''Horror''': 3_7_7_9_3,
    '''Confession''': 6_0_5_7_2,
    '''Finance''': 1_2_2_5_0,
    '''Politics''': 1_6_3_6_0,
    '''Scary''': 1_9_1_9_8_5,
    '''Support''': 1_2_6_5_4,
    '''Technologies''': 3_2_5_1_6,
    '''Teenage''': 6_6_1_6_0,
    '''Event''': 3_2_7_6_9,
    '''Learned''': 6_7_4_6_0,
    '''Notion''': 1_8_2_7_7_0,
    '''Wikipedia''': 3_7_5_8_3,
    '''Books''': 6_6_6_5,
    '''Extract''': 7_6_0_5_0,
    '''Confessions''': 1_0_2_7_0_1,
    '''Conspiracy''': 7_5_9_3_2,
    '''Links''': 6_3_6_7_4,
    '''Narcissus''': 1_5_0_4_2_5,
    '''Relationship''': 5_4_7_6_6,
    '''Relationships''': 1_3_4_7_9_6,
    '''Reviews''': 4_1_6_7_1,
    '''News''': 4_2_5_6,
    '''Translation''': 2_6_8_2_0,
    '''multilingual''': 1_2_8_4_0_6,
}



def 	a			( lowerCamelCase__    ):
			'''simple docstring'''





			A_	:						Any	=     set()
			A_	:						int	=     word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)    )
						A_	:						Dict	=     char

			A_	:						Dict	=     set(lowerCamelCase__    )
			return pairs







class 	_lowerCAmelCase							(			__UpperCAmelCase ):
	__SCREAMING_SNAKE_CASE   :		int					=					VOCAB_FILES_NAMES
	__SCREAMING_SNAKE_CASE   :		Any					=					PRETRAINED_VOCAB_FILES_MAP
	__SCREAMING_SNAKE_CASE   :		str					=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__SCREAMING_SNAKE_CASE   :		Union[str, Any]					=					CONTROL_CODES


	def __init__(self       ,      lowercase       ,      lowercase       ,      lowercase="<unk>"       ,      **lowercase							):
				super().__init__(unk_token=lowercase       ,      **lowercase							)

				with open(lowercase       ,      encoding="""utf-8"""							) as vocab_handle:
							A_	:						Tuple	=     json.load(lowercase							)
				A_	:						List[str]	=     {v: k for k, v in self.encoder.items()}
				with open(lowercase       ,      encoding="""utf-8"""							) as merges_handle:
							A_	:						Any	=     merges_handle.read().split("""\n"""							)[1:-1]
				A_	:						Dict	=     [tuple(merge.split()							) for merge in merges]
				A_	:						Optional[int]	=     dict(zip(lowercase       ,      range(len(lowercase							)							)							)							)
				A_	:						List[str]	=     {}


	@property
	def     _a	(self							):
				return len(self.encoder							)


	def     _a	(self							):
				return dict(self.encoder       ,      **self.added_tokens_encoder							)


	def     _a	(self       ,      lowercase							):
				if token in self.cache:
							return self.cache[token]
				A_	:						Any	=     tuple(lowercase							)
				A_	:						int	=     tuple(list(word[:-1]							) + [word[-1] + """</w>"""]							)
				A_	:						Any	=     get_pairs(lowercase							)

				if not pairs:
							return token

				while True:
							A_	:						str	=     min(lowercase       ,      key=lambda lowercase							: self.bpe_ranks.get(lowercase       ,      float("""inf"""							)							)							)
							if bigram not in self.bpe_ranks:
										break
							A_,    A_	:						str	=     bigram
							A_	:						Any	=     []
							A_	:						Optional[int]	=     0
							while i < len(lowercase							):
										try:
													A_	:						Tuple	=     word.index(lowercase       ,      lowercase							)
										except ValueError:
													new_word.extend(word[i:]							)
													break
										else:
													new_word.extend(word[i:j]							)
													A_	:						Tuple	=     j

										if word[i] == first and i < len(lowercase							) - 1 and word[i + 1] == second:
													new_word.append(first + second							)
													i += 2
										else:
													new_word.append(word[i]							)
													i += 1
							A_	:						List[Any]	=     tuple(lowercase							)
							A_	:						int	=     new_word
							if len(lowercase							) == 1:
										break
							else:
										A_	:						Union[str, Any]	=     get_pairs(lowercase							)
				A_	:						Dict	=     """@@ """.join(lowercase							)
				A_	:						Any	=     word[:-4]
				A_	:						Dict	=     word
				return word


	def     _a	(self       ,      lowercase							):
				A_	:						Union[str, Any]	=     []

				A_	:						List[str]	=     re.findall(R"""\S+\n?"""       ,      lowercase							)

				for token in words:
							split_tokens.extend(list(self.bpe(lowercase							).split(""" """							)							)							)
				return split_tokens


	def     _a	(self       ,      lowercase							):
				return self.encoder.get(lowercase       ,      self.encoder.get(self.unk_token							)							)


	def     _a	(self       ,      lowercase							):
				return self.decoder.get(lowercase       ,      self.unk_token							)


	def     _a	(self       ,      lowercase							):
				A_	:						str	=     """ """.join(lowercase							).replace("""@@ """       ,      """"""							).strip()
				return out_string


	def     _a	(self       ,      lowercase       ,      lowercase = None							):
				if not os.path.isdir(lowercase							):
							logger.error(F'Vocabulary path ({save_directory}) should be a directory'							)
							return
				A_	:						Optional[Any]	=     os.path.join(
				    lowercase       ,      (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]							)
				A_	:						str	=     os.path.join(
				    lowercase       ,      (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]							)

				with open(lowercase       ,      """w"""       ,      encoding="""utf-8"""							) as f:
							f.write(json.dumps(self.encoder       ,      indent=2       ,      sort_keys=lowercase       ,      ensure_ascii=lowercase							) + """\n"""							)

				A_	:						Optional[int]	=     0
				with open(lowercase       ,      """w"""       ,      encoding="""utf-8"""							) as writer:
							writer.write("""#version: 0.2\n"""							)
							for bpe_tokens, token_index in sorted(self.bpe_ranks.items()       ,      key=lambda lowercase							: kv[1]							):
										if index != token_index:
													logger.warning(
													    F'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
													    """ Please check that the tokenizer is not corrupted!"""							)
													A_	:						Dict	=     token_index
										writer.write(""" """.join(lowercase							) + """\n"""							)
										index += 1

				return vocab_file, merge_file

	# def decode(self, token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=True):
	#     filtered_tokens = ' '.join(self.convert_ids_to_tokens(token_ids, skip_special_tokens=skip_special_tokens))
	#     tokens_generated_so_far = re.sub('(@@ )', '', string=filtered_tokens)
	#     tokens_generated_so_far = re.sub('(@@ ?$)', '', string=tokens_generated_so_far)
	#     return ''.join(tokens_generated_so_far)




'''simple docstring'''




from __future__ import annotations

import math



def 	a			( lowerCamelCase__    ):
			'''simple docstring'''





			if num <= 0:
						A_	:						List[Any]	=     f'{num}: Invalid input, please enter a positive integer.'
						raise ValueError(lowerCamelCase__    )

			A_	:						Dict	=     [True] * (num + 1)
			A_	:						List[Any]	=     []
			A_	:						Tuple	=     2
			A_	:						Optional[int]	=     int(math.sqrt(lowerCamelCase__    )    )

			while start <= end:
						# If start is a prime
						if sieve[start] is True:
									prime.append(lowerCamelCase__    )

									# Set multiples of start be False
									for i in range(start * start						,      num + 1						,      lowerCamelCase__    ):
												if sieve[i] is True:
															A_	:						List[Any]	=     False

						start += 1

			for j in range(end + 1						,      num + 1    ):
						if sieve[j] is True:
									prime.append(lowerCamelCase__    )

			return prime


if __name__ == "__main__":
						print(prime_sieve(int(input('''Enter a positive integer: ''').strip())))