
import unittest

from transformers import JukeboxTokenizer
from transformers.testing_utils import require_torch







class  UpperCamelCase__		(    unittest.TestCase   ):







	'''simple docstring'''
	_lowerCAmelCase							       =				JukeboxTokenizer
	_lowerCAmelCase							       =				{
	    "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		):
					import torch

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

					A__  :	Optional[Any]         =							JukeboxTokenizer.from_pretrained('''openai/jukebox-5b-lyrics'''		)
					A__  :	Any         =							tokenizer(**self.metas		)['''input_ids''']
					# fmt: off
					A__  :	Optional[int]         =							[
					    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]		)		)

from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
					if not (is_transformers_available() and is_torch_available()):
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					from ...utils.dummy_torch_and_transformers_objects import KandinskyPipeline, KandinskyPriorPipeline
else:
					from .pipeline_kandinsky import KandinskyPipeline
					from .pipeline_kandinsky_imgaimg import KandinskyImgaImgPipeline
					from .pipeline_kandinsky_inpaint import KandinskyInpaintPipeline
					from .pipeline_kandinsky_prior import KandinskyPriorPipeline, KandinskyPriorPipelineOutput
					from .text_encoder import MultilingualCLIP