


'''simple docstring'''


import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin



class 	__lowerCAmelCase		(							__SCREAMING_SNAKE_CASE  , unittest.TestCase    ):


  '''simple docstring'''







  a_  					=							XLMTokenizer
  a_  					=							False






  def        _a							(							self :       str ):

        '''simple docstring'''




        super().setUp()

        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
        A_						:  Optional[int]          =				[
            """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_						:  int          =				dict(zip(_a	,range(len(_a ) ) ) )
        A_						:  Tuple          =				["""l o 123""", """lo w 1456""", """e r</w> 1789""", """"""]

        A_						:  int          =				os.path.join(self.tmpdirname	,VOCAB_FILES_NAMES["""vocab_file"""] )
        A_						:  List[Any]          =				os.path.join(self.tmpdirname	,VOCAB_FILES_NAMES["""merges_file"""] )
        with open(self.vocab_file	,"""w""" ) as fp:
              fp.write(json.dumps(_a ) )
        with open(self.merges_file	,"""w""" ) as fp:
              fp.write("""\n""".join(_a ) )






  def        _a							(							self :       Tuple	,_a :       List[str] ):

        '''simple docstring'''




        A_						:  Dict          =				"""lower newer"""
        A_						:  List[str]          =				"""lower newer"""
        return input_text, output_text






  def        _a							(							self :       str ):

        '''simple docstring'''




        A_						:  Union[str, Any]          =				XLMTokenizer(self.vocab_file	,self.merges_file )

        A_						:  Optional[int]          =				"""lower"""
        A_						:  List[Any]          =				["""low""", """er</w>"""]
        A_						:  Dict          =				tokenizer.tokenize(_a )
        self.assertListEqual(_a	,_a )

        A_						:  int          =				tokens + ["""<unk>"""]
        A_						:  Tuple          =				[14, 15, 20]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(_a )	,_a )






  @slow
  def        _a							(							self :       int ):

        '''simple docstring'''




        A_						:  Optional[Any]          =				XLMTokenizer.from_pretrained("""xlm-mlm-en-2048""" )

        A_						:  Dict          =				tokenizer.encode("""sequence builders"""	,add_special_tokens=_a )
        A_						:  str          =				tokenizer.encode("""multi-sequence build"""	,add_special_tokens=_a )

        A_						:  str          =				tokenizer.build_inputs_with_special_tokens(_a )
        A_						:  List[str]          =				tokenizer.build_inputs_with_special_tokens(_a	,_a )

        assert encoded_sentence == [0] + text + [1]
        assert encoded_pair == [0] + text + [1] + text_a + [1]




'''simple docstring'''


from __future__ import annotations

import math




def      lowerCamelCase					(      lowerCamelCase  :      int):

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

      A_						:  str          =				[True] * (num + 1)
      A_						:  Tuple          =				[]
      A_						:  str          =				2
      A_						:  Any          =				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_						:  Union[str, 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())))
