



import unittest

from transformers import JukeboxTokenizer
from transformers.testing_utils import require_torch



class 	lowerCamelCase__      (							unittest.TestCase):




		'''simple docstring'''



		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 		lowerCAmelCase__				(self			)					->      int:

						"""simple docstring"""






						import torch

						lowerCAmelCase__					:    Dict												=					JukeboxTokenizer.from_pretrained('''openai/jukebox-1b-lyrics'''			)
						lowerCAmelCase__					:    Any												=					tokenizer(**self.metas			)['''input_ids''']
						# fmt: off
						lowerCAmelCase__					:    Union[str, Any]												=					[
						    torch.tensor([[
						        0, 0, 0, 71_69, 5_07, 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, 10_69, 11]]			),
						    torch.tensor([[0, 0, 0, 10_69, 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 		lowerCAmelCase__				(self			)					->      int:

						"""simple docstring"""






						import torch

						lowerCAmelCase__					:    int												=					JukeboxTokenizer.from_pretrained('''openai/jukebox-5b-lyrics'''			)
						lowerCAmelCase__					:    Any												=					tokenizer(**self.metas			)['''input_ids''']
						# fmt: off
						lowerCAmelCase__					:    int												=					[
						    torch.tensor([[
						        0, 0, 0, 10_69, 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, 10_69, 11, -1, -1, -1, -1]]			),
						    torch.tensor([[0, 0, 0, 10_69, 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 math import factorial






def      lowerCAmelCase__		(   lowerCamelCase_		:		int = 100):





				'''simple docstring'''

				return sum(map(lowerCamelCase_	,str(factorial(lowerCamelCase_))))


if __name__ == "__main__":
							print(solution(int(input('Enter the Number: ').strip())))

