





import json
import os
import unittest

from transformers.models.biogpt.tokenization_biogpt import VOCAB_FILES_NAMES, BioGptTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin







class      lowerCamelCase(						__snake_case			, unittest.TestCase	):
     '''simple docstring'''


     __magic_name__   =			BioGptTokenizer
     __magic_name__   =			False




     def        lowerCAmelCase__		(    self							):
         super().setUp()

         # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
         _A     =							[
             'l',
             'o',
             'w',
             'e',
             'r',
             's',
             't',
             'i',
             'd',
             'n',
             'w</w>',
             'r</w>',
             't</w>',
             'lo',
             'low',
             'er</w>',
             'low</w>',
             'lowest</w>',
             'newer</w>',
             'wider</w>',
             '<unk>',
         ]
         _A     =							dict(zip(snake_case_				,     range(len(snake_case_							)							)							)							)
         _A     =							['l o 123', 'lo w 1456', 'e r</w> 1789', '']

         _A     =							os.path.join(self.tmpdirname				,     VOCAB_FILES_NAMES['vocab_file']							)
         _A     =							os.path.join(self.tmpdirname				,     VOCAB_FILES_NAMES['merges_file']							)
         with open(self.vocab_file				,     'w'							) as fp:
             fp.write(json.dumps(snake_case_							)							)
         with open(self.merges_file				,     'w'							) as fp:
             fp.write('\n'.join(snake_case_							)							)




     def        lowerCAmelCase__		(    self				,     snake_case_							):
         _A     =							'lower newer'
         _A     =							'lower newer'
         return input_text, output_text




     def        lowerCAmelCase__		(    self							):
         _A     =							BioGptTokenizer(self.vocab_file				,     self.merges_file							)

         _A     =							'lower'
         _A     =							['low', 'er</w>']
         _A     =							tokenizer.tokenize(snake_case_							)
         self.assertListEqual(snake_case_				,     snake_case_							)

         _A     =							tokens + ['<unk>']
         _A     =							[14, 15, 20]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_							)				,     snake_case_							)




     @slow
     def        lowerCAmelCase__		(    self							):
         _A     =							BioGptTokenizer.from_pretrained('microsoft/biogpt'							)

         _A     =							tokenizer.encode('sequence builders'				,     add_special_tokens=snake_case_							)
         _A     =							tokenizer.encode('multi-sequence build'				,     add_special_tokens=snake_case_							)

         _A     =							tokenizer.build_inputs_with_special_tokens(snake_case_							)
         _A     =							tokenizer.build_inputs_with_special_tokens(snake_case_				,     snake_case_							)

         self.assertTrue(encoded_sentence == [2] + text							)
         self.assertTrue(encoded_pair == [2] + text + [2] + text_a							)












from __future__ import annotations

import math





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE				)							-> list[int]:




    """simple docstring"""




    if num <= 0:
        _A     =							F"{num}: Invalid input, please enter a positive integer."
        raise ValueError(_SCREAMING_SNAKE_CASE				)

    _A     =							[True] * (num + 1)
    _A     =							[]
    _A     =							2
    _A     =							int(math.sqrt(_SCREAMING_SNAKE_CASE				)				)

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

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

        start += 1

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

    return prime


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





