




'''simple docstring'''


import unittest

from transformers import JukeboxTokenizer
from transformers.testing_utils import require_torch





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







   @require_torch
   def 		UpperCamelCase__			(	self      )				->    Optional[int]:
     import torch

     __a			=					JukeboxTokenizer.from_pretrained('openai/jukebox-1b-lyrics'      )
     __a			=					tokenizer(**self.metas      )["input_ids"]
     # fmt: off
     __a			=					[
         torch.tensor([[
             0, 0, 0, 7169, 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, 1069, 11]]      ),
         torch.tensor([[0, 0, 0, 1069, 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 		UpperCamelCase__			(	self      )				->    Any:
     import torch

     __a			=					JukeboxTokenizer.from_pretrained('openai/jukebox-5b-lyrics'      )
     __a			=					tokenizer(**self.metas      )["input_ids"]
     # fmt: off
     __a			=					[
         torch.tensor([[
             0, 0, 0, 1069, 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, 1069, 11, -1, -1, -1, -1]]      ),
         torch.tensor([[0, 0, 0, 1069, 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]      )      )









'''simple docstring'''


def 						SCREAMING_SNAKE_CASE       (      a_	:							int = 10**12			):
  __a			=					1
  __a			=					0

  __a			=					1
  __a			=					1

  while numerator <= 2 * min_total - 1:
    prev_numerator += 2 * numerator
    numerator += 2 * prev_numerator

    prev_denominator += 2 * denominator
    denominator += 2 * prev_denominator

  return (denominator + 1) // 2


if __name__ == "__main__":
  print(f"""{solution() = }""")



