





import unittest

from transformers import JukeboxTokenizer
from transformers.testing_utils import require_torch


class       __lowerCAmelCase					(       unittest.TestCase      ):


	'''simple docstring'''





	_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    snake_case__(						self:						List[Any]			):
			import torch

			lowercase__					:      str      =		JukeboxTokenizer.from_pretrained('openai/jukebox-1b-lyrics'			)
			lowercase__					:      Any      =		tokenizer(**self.metas			)['input_ids']
			# fmt: off
			lowercase__					:      Optional[Any]      =		[
			    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    snake_case__(						self:						int			):
			import torch

			lowercase__					:      List[Any]      =		JukeboxTokenizer.from_pretrained('openai/jukebox-5b-lyrics'			)
			lowercase__					:      Any      =		tokenizer(**self.metas			)['input_ids']
			# fmt: off
			lowercase__					:      Union[str, Any]      =		[
			    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]			)			)









def       SCREAMING_SNAKE_CASE__  (       _lowercase     : int   ,    _lowercase     : int			)   ->							Optional[int]:




		'''simple docstring'''
		if b == 0:
				return 1
		if (b % 2) == 0:
				return actual_power(_lowercase   ,    int(b / 2			)			) * actual_power(_lowercase   ,    int(b / 2			)			)
		else:
				return a * actual_power(_lowercase   ,    int(b / 2			)			) * actual_power(_lowercase   ,    int(b / 2			)			)


def       SCREAMING_SNAKE_CASE__  (       _lowercase     : int   ,    _lowercase     : int			)   ->							float:




		'''simple docstring'''
		if b < 0:
				return 1 / actual_power(_lowercase   ,    _lowercase			)
		return actual_power(_lowercase   ,    _lowercase			)


if __name__ == "__main__":
			print(power(-2, -3))


