

"""simple docstring"""




import unittest

from transformers import JukeboxTokenizer
from transformers.testing_utils import require_torch







class   __lowercase      (     unittest.TestCase       ):
  snake_case_												=							JukeboxTokenizer
  snake_case_												=							{
      """artist""": """Zac Brown Band""",
      """genres""": """Country""",
      """lyrics""": """I met a traveller from an antique land,
        Who said \"Two vast and trunkless legs of stone
        Stand in the desert. . . . Near them, on the sand,
        Half sunk a shattered visage lies, whose frown,
        And wrinkled lip, and sneer of cold command,
        Tell that its sculptor well those passions read
        Which yet survive, stamped on these lifeless things,
        The hand that mocked them, and the heart that fed;
        And on the pedestal, these words appear:
        My name is Ozymandias, King of Kings;
        Look on my Works, ye Mighty, and despair!
        Nothing beside remains. Round the decay
        Of that colossal Wreck, boundless and bare
        The lone and level sands stretch far away
        """,
  }

  @require_torch
  def  __lowercase							(	self		:      Any     ):






   '''simple docstring'''
   import torch

   UpperCAmelCase__       :	int        =       JukeboxTokenizer.from_pretrained("""openai/jukebox-1b-lyrics"""     )
   UpperCAmelCase__       :	Optional[int]        =       tokenizer(**self.metas     )["""input_ids"""]
   # fmt: off
   UpperCAmelCase__       :	List[Any]        =       [
       torch.tensor([[
           0, 0, 0, 7_169, 507, 9, 76, 39, 31, 46, 76, 27,
           76, 46, 44, 27, 48, 31, 38, 38, 31, 44, 76, 32,
           44, 41, 39, 76, 27, 40, 76, 27, 40, 46, 35, 43,
           47, 31, 76, 38, 27, 40, 30, 64, 78, 76, 76, 76,
           76, 76, 76, 76, 76, 23, 34, 41, 76, 45, 27, 35,
           30, 76, 71, 20, 49, 41, 76, 48, 27, 45, 46, 76,
           27, 40, 30, 76, 46, 44, 47, 40, 37, 38, 31, 45,
           45, 76, 38, 31, 33, 45, 76, 41, 32, 76, 45, 46,
           41, 40, 31, 78, 76, 76, 76, 76, 76, 76, 76, 76,
           19, 46, 27, 40, 30, 76, 35, 40, 76, 46, 34, 31,
           76, 30, 31, 45, 31, 44, 46, 63, 76, 63, 76, 63,
           76, 63, 76, 14, 31, 27, 44, 76, 46, 34, 31, 39,
           64, 76, 41, 40, 76, 46, 34, 31, 76, 45, 27, 40,
           30, 64, 78, 76, 76, 76, 76, 76, 76, 76, 76, 8,
           27, 38, 32, 76, 45, 47, 40, 37, 76, 27, 76, 45,
           34, 27, 46, 46, 31, 44, 31, 30, 76, 48, 35, 45,
           27, 33, 31, 76, 38, 35, 31, 45, 64, 76, 49, 34,
           41, 45, 31, 76, 32, 44, 41, 49, 40, 64, 78, 76,
           76, 76, 76, 76, 76, 76, 76, 1, 40, 30, 76, 49,
           44, 35, 40, 37, 38, 31, 30, 76, 38, 35, 42, 64,
           76, 27, 40, 30, 76, 45, 40, 31, 31, 44, 76, 41,
           32, 76, 29, 41, 38, 30, 76, 29, 41, 39, 39, 27,
           40, 30, 64, 78, 76, 76, 76, 76, 76, 76, 76, 76,
           20, 31, 38, 38, 76, 46, 34, 27, 46, 76, 35, 46,
           45, 76, 45, 29, 47, 38, 42, 46, 41, 44, 76, 49,
           31, 38, 38, 76, 46, 34, 41, 45, 31, 76, 42, 27,
           45, 45, 35, 41, 40, 45, 76, 44, 31, 27, 30, 78,
           76, 76, 76, 76, 76, 76, 76, 76, 23, 34, 35, 29,
           34, 76, 51, 31, 46, 76, 45, 47, 44, 48, 35, 48,
           31, 64, 76, 45, 46, 27, 39, 42, 31, 30, 76, 41,
           40, 76, 46, 34, 31, 45, 31, 76, 38, 35, 32, 31,
           38, 31, 45, 45, 76, 46, 34, 35, 40, 33, 45, 64,
           78, 76, 76, 76, 76, 76, 76, 76, 76, 20, 34, 31,
           76, 34, 27, 40, 30, 76, 46, 34, 27, 46, 76, 39,
           41, 29, 37, 31, 30, 76, 46, 34, 31, 39, 64, 76,
           27, 40, 30, 76, 46, 34, 31, 76, 34, 31, 27, 44,
           46, 76, 46, 34, 27, 46, 76, 32, 31, 30, 66, 78,
           76, 76, 76, 76, 76, 76, 76, 76, 1, 40, 30, 76,
           41, 40, 76, 46, 34, 31, 76, 42, 31, 30, 31, 45,
           46, 27, 38, 64, 76, 46, 34, 31, 45, 31, 76, 49,
           41, 44, 30, 45, 76, 27, 42, 42, 31, 27, 44, 65,
           78, 76, 76, 76, 76, 76, 76, 76, 76, 13, 51, 76,
           40, 27, 39, 31, 76, 35, 45, 76, 15, 52, 51, 39,
           27, 40, 30, 35, 27, 45, 64, 76, 11, 35, 40, 33,
           76, 41, 32, 76, 11, 35, 40, 33, 45, 66, 78, 76,
           76, 76, 76, 76, 76, 76, 76, 12, 41, 41, 37, 76,
           41, 40, 76, 39, 51, 76, 23, 41, 44, 37, 45, 64,
           76, 51, 31, 76, 13, 35, 33, 34, 46, 51, 64, 76,
           27, 40, 30, 76, 30, 31, 45, 42, 27, 35, 44, 67,
           78, 76, 76, 76, 76, 76, 76, 76, 76, 14, 41, 46,
           34, 35, 40, 33, 76, 28, 31, 45, 35, 30, 31, 76,
           44, 31, 39, 27, 35, 40, 45, 63, 76, 18, 41, 47,
           40, 30, 76, 46, 34, 31, 76, 30, 31, 29, 27, 51,
           78, 76, 76, 76, 76, 76, 76, 76, 76, 15, 32, 76,
           46, 34, 27, 46, 76, 29, 41, 38, 41, 45, 45, 27,
           38, 76, 23, 44, 31, 29, 37, 64, 76, 28, 41, 47,
           40, 30, 38, 31, 45, 45, 76, 27, 40, 30, 76, 28,
           27, 44, 31, 78, 76, 76, 76, 76, 76, 76, 76, 76,
           20, 34, 31, 76, 38, 41, 40, 31, 76, 27, 40, 30,
           76, 38, 31, 48, 31, 38, 76, 45, 27, 40, 30, 45,
           76, 45, 46, 44, 31, 46, 29, 34, 76, 32, 27, 44,
           76, 27, 49, 27, 51, 78, 76, 76, 76, 76, 76, 76,
           76, 76]]     ),
       torch.tensor([[0, 0, 0, 1_069, 11]]     ),
       torch.tensor([[0, 0, 0, 1_069, 11]]     ),
   ]
   # fmt: on
   self.assertTrue(torch.allclose(tokens[0]       ,EXPECTED_OUTPUT[0]     )     )
   self.assertTrue(torch.allclose(tokens[1]       ,EXPECTED_OUTPUT[1]     )     )
   self.assertTrue(torch.allclose(tokens[2]       ,EXPECTED_OUTPUT[2]     )     )




  @require_torch
  def  __lowercase							(	self		:      int     ):






   '''simple docstring'''
   import torch

   UpperCAmelCase__       :	Union[str, Any]        =       JukeboxTokenizer.from_pretrained("""openai/jukebox-5b-lyrics"""     )
   UpperCAmelCase__       :	Any        =       tokenizer(**self.metas     )["""input_ids"""]
   # fmt: off
   UpperCAmelCase__       :	Any        =       [
       torch.tensor([[
           0, 0, 0, 1_069, 11, -1, -1, -1, -1, 9, 77, 39,
           31, 46, 77, 27, 77, 46, 44, 27, 48, 31, 38, 38,
           31, 44, 77, 32, 44, 41, 39, 77, 27, 40, 77, 27,
           40, 46, 35, 43, 47, 31, 77, 38, 27, 40, 30, 64,
           79, 77, 77, 77, 77, 77, 77, 77, 77, 23, 34, 41,
           77, 45, 27, 35, 30, 77, 72, 20, 49, 41, 77, 48,
           27, 45, 46, 77, 27, 40, 30, 77, 46, 44, 47, 40,
           37, 38, 31, 45, 45, 77, 38, 31, 33, 45, 77, 41,
           32, 77, 45, 46, 41, 40, 31, 79, 77, 77, 77, 77,
           77, 77, 77, 77, 19, 46, 27, 40, 30, 77, 35, 40,
           77, 46, 34, 31, 77, 30, 31, 45, 31, 44, 46, 63,
           77, 63, 77, 63, 77, 63, 77, 14, 31, 27, 44, 77,
           46, 34, 31, 39, 64, 77, 41, 40, 77, 46, 34, 31,
           77, 45, 27, 40, 30, 64, 79, 77, 77, 77, 77, 77,
           77, 77, 77, 8, 27, 38, 32, 77, 45, 47, 40, 37,
           77, 27, 77, 45, 34, 27, 46, 46, 31, 44, 31, 30,
           77, 48, 35, 45, 27, 33, 31, 77, 38, 35, 31, 45,
           64, 77, 49, 34, 41, 45, 31, 77, 32, 44, 41, 49,
           40, 64, 79, 77, 77, 77, 77, 77, 77, 77, 77, 1,
           40, 30, 77, 49, 44, 35, 40, 37, 38, 31, 30, 77,
           38, 35, 42, 64, 77, 27, 40, 30, 77, 45, 40, 31,
           31, 44, 77, 41, 32, 77, 29, 41, 38, 30, 77, 29,
           41, 39, 39, 27, 40, 30, 64, 79, 77, 77, 77, 77,
           77, 77, 77, 77, 20, 31, 38, 38, 77, 46, 34, 27,
           46, 77, 35, 46, 45, 77, 45, 29, 47, 38, 42, 46,
           41, 44, 77, 49, 31, 38, 38, 77, 46, 34, 41, 45,
           31, 77, 42, 27, 45, 45, 35, 41, 40, 45, 77, 44,
           31, 27, 30, 79, 77, 77, 77, 77, 77, 77, 77, 77,
           23, 34, 35, 29, 34, 77, 51, 31, 46, 77, 45, 47,
           44, 48, 35, 48, 31, 64, 77, 45, 46, 27, 39, 42,
           31, 30, 77, 41, 40, 77, 46, 34, 31, 45, 31, 77,
           38, 35, 32, 31, 38, 31, 45, 45, 77, 46, 34, 35,
           40, 33, 45, 64, 79, 77, 77, 77, 77, 77, 77, 77,
           77, 20, 34, 31, 77, 34, 27, 40, 30, 77, 46, 34,
           27, 46, 77, 39, 41, 29, 37, 31, 30, 77, 46, 34,
           31, 39, 64, 77, 27, 40, 30, 77, 46, 34, 31, 77,
           34, 31, 27, 44, 46, 77, 46, 34, 27, 46, 77, 32,
           31, 30, 66, 79, 77, 77, 77, 77, 77, 77, 77, 77,
           1, 40, 30, 77, 41, 40, 77, 46, 34, 31, 77, 42,
           31, 30, 31, 45, 46, 27, 38, 64, 77, 46, 34, 31,
           45, 31, 77, 49, 41, 44, 30, 45, 77, 27, 42, 42,
           31, 27, 44, 65, 79, 77, 77, 77, 77, 77, 77, 77,
           77, 13, 51, 77, 40, 27, 39, 31, 77, 35, 45, 77,
           15, 52, 51, 39, 27, 40, 30, 35, 27, 45, 64, 77,
           11, 35, 40, 33, 77, 41, 32, 77, 11, 35, 40, 33,
           45, 66, 79, 77, 77, 77, 77, 77, 77, 77, 77, 12,
           41, 41, 37, 77, 41, 40, 77, 39, 51, 77, 23, 41,
           44, 37, 45, 64, 77, 51, 31, 77, 13, 35, 33, 34,
           46, 51, 64, 77, 27, 40, 30, 77, 30, 31, 45, 42,
           27, 35, 44, 67, 79, 77, 77, 77, 77, 77, 77, 77,
           77, 14, 41, 46, 34, 35, 40, 33, 77, 28, 31, 45,
           35, 30, 31, 77, 44, 31, 39, 27, 35, 40, 45, 63,
           77, 18, 41, 47, 40, 30, 77, 46, 34, 31, 77, 30,
           31, 29, 27, 51, 79, 77, 77, 77, 77, 77, 77, 77,
           77, 15, 32, 77, 46, 34, 27, 46, 77, 29, 41, 38,
           41, 45, 45, 27, 38, 77, 23, 44, 31, 29, 37, 64,
           77, 28, 41, 47, 40, 30, 38, 31, 45, 45, 77, 27,
           40, 30, 77, 28, 27, 44, 31, 79, 77, 77, 77, 77,
           77, 77, 77, 77, 20, 34, 31, 77, 38, 41, 40, 31,
           77, 27, 40, 30, 77, 38, 31, 48, 31, 38, 77, 45,
           27, 40, 30, 45, 77, 45, 46, 44, 31, 46, 29, 34,
           77, 32, 27, 44, 77, 27, 49, 27, 51, 79, 77, 77,
           77, 77, 77, 77, 77, 77]]     ),
       torch.tensor([[0, 0, 0, 1_069, 11, -1, -1, -1, -1]]     ),
       torch.tensor([[0, 0, 0, 1_069, 11, -1, -1, -1, -1]]     ),
   ]
   # fmt: on
   self.assertTrue(torch.allclose(tokens[0]       ,EXPECTED_OUTPUT[0]     )     )
   self.assertTrue(torch.allclose(tokens[1]       ,EXPECTED_OUTPUT[1]     )     )
   self.assertTrue(torch.allclose(tokens[2]       ,EXPECTED_OUTPUT[2]     )     )












from __future__ import annotations

import math


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__						):

		if num <= 0:
				lowerCamelCase_	:     Optional[int] 						=      F"{num}: Invalid input, please enter a positive integer."
				raise ValueError(lowerCAmelCase__						)

		lowerCamelCase_	:     str 						=      [True] * (num + 1)
		lowerCamelCase_	:     List[str] 						=      []
		lowerCamelCase_	:     Optional[int] 						=      2
		lowerCamelCase_	:     List[str] 						=      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:
										lowerCamelCase_	:     Tuple 						=      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())))
