


import unittest
from unittest import skip

from transformers import is_torch_available
from transformers.testing_utils import require_torch, slow
from transformers.trainer_utils import set_seed


if is_torch_available():
						import torch

						from transformers import JukeboxModel, JukeboxPrior, JukeboxTokenizer







@require_torch
class 					snake_case__(				unittest.TestCase				):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__   :	Optional[Any]       =				(JukeboxModel,) if is_torch_available() else ()
						SCREAMING_SNAKE_CASE__   :	Optional[int]       =				"""openai/jukebox-1b-lyrics"""
						SCREAMING_SNAKE_CASE__   :	Any       =				{
						    """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
    """,
						}
						# fmt: off
						SCREAMING_SNAKE_CASE__   :	str       =				[
						    1_864, 1_536, 1_213, 1_870, 1_357, 1_536, 519, 880, 1_323, 789, 1_082, 534,
						    1_000, 1_445, 1_105, 1_130, 967, 515, 1_434, 1_620, 534, 1_495, 283, 1_445,
						    333, 1_307, 539, 1_631, 1_528, 375, 1_434, 673, 627, 710, 778, 1_883,
						    1_405, 1_276, 1_455, 1_228
						]

						SCREAMING_SNAKE_CASE__   :	List[Any]       =				[
						    1_489, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
						    653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
						    653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
						    653, 653, 653, 653
						]

						SCREAMING_SNAKE_CASE__   :	Dict       =				[
						    1_125, 1_751, 697, 1_776, 1_141, 1_476, 391, 697, 1_125, 684, 867, 416,
						    844, 1_372, 1_274, 717, 1_274, 844, 1_299, 1_419, 697, 1_370, 317, 1_125,
						    191, 1_440, 1_370, 1_440, 1_370, 282, 1_621, 1_370, 368, 349, 867, 1_872,
						    1_262, 869, 1_728, 747
						]
						SCREAMING_SNAKE_CASE__   :	Dict       =				[
						    416, 416, 1_125, 1_125, 416, 416, 416, 416, 416, 416, 416, 416,
						    416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416,
						    416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416,
						    416, 416, 416, 416
						]

						SCREAMING_SNAKE_CASE__   :	Union[str, Any]       =				[
						    1_755, 842, 307, 1_843, 1_022, 1_395, 234, 1_554, 806, 739, 1_022, 442,
						    616, 556, 268, 1_499, 933, 457, 1_440, 1_837, 755, 985, 308, 902,
						    293, 1_443, 1_671, 1_141, 1_533, 555, 1_562, 1_061, 287, 417, 1_022, 2_008,
						    1_186, 1_015, 1_777, 268
						]
						SCREAMING_SNAKE_CASE__   :	Union[str, Any]       =				[
						    854, 842, 1_353, 114, 1_353, 842, 185, 842, 185, 114, 591, 842,
						    185, 417, 185, 842, 307, 842, 591, 842, 185, 842, 307, 842,
						    591, 842, 1_353, 842, 185, 842, 591, 842, 591, 114, 591, 842,
						    185, 842, 591, 89
						]

						SCREAMING_SNAKE_CASE__   :	int       =				[1_058_304, 0, 786_432, 7_169, 507, 76, 27, 40, 30, 76]

						SCREAMING_SNAKE_CASE__   :	int       =				[
						    390, 1_160, 1_002, 1_907, 1_788, 1_788, 1_788, 1_907, 1_002, 1_002, 1_854, 1_002,
						    1_002, 1_002, 1_002, 1_002, 1_002, 1_160, 1_160, 1_606, 596, 596, 1_160, 1_002,
						    1_516, 596, 1_002, 1_002, 1_002, 1_907, 1_788, 1_788, 1_788, 1_854, 1_788, 1_907,
						    1_907, 1_788, 596, 1_626
						]
						SCREAMING_SNAKE_CASE__   :	str       =				[
						    1_236, 1_668, 1_484, 1_920, 1_848, 1_409, 139, 864, 1_828, 1_272, 1_599, 824,
						    1_672, 139, 555, 1_484, 824, 1_920, 555, 596, 1_579, 1_599, 1_231, 1_599,
						    1_637, 1_407, 212, 824, 1_599, 116, 1_433, 824, 258, 1_599, 1_433, 1_895,
						    1_063, 1_433, 1_433, 1_599
						]
						SCREAMING_SNAKE_CASE__   :	Tuple       =				[
						    1_684, 1_873, 1_119, 1_189, 395, 611, 1_901, 972, 890, 1_337, 1_392, 1_927,
						    96, 972, 672, 780, 1_119, 890, 158, 771, 1_073, 1_927, 353, 1_331,
						    1_269, 1_459, 1_333, 1_645, 812, 1_577, 1_337, 606, 353, 981, 1_466, 619,
						    197, 391, 302, 1_930
						]
						SCREAMING_SNAKE_CASE__   :	int       =				[
						    390, 1_160, 1_002, 1_907, 1_788, 1_788, 1_788, 1_907, 1_002, 1_002, 1_854, 1_002,
						    1_002, 1_002, 1_002, 1_002, 1_002, 1_160, 1_160, 1_606, 596, 596, 1_160, 1_002,
						    1_516, 596, 1_002, 1_002, 1_002, 1_907, 1_788, 1_788, 1_788, 1_854, 1_788, 1_907,
						    1_907, 1_788, 596, 1_626
						]
						SCREAMING_SNAKE_CASE__   :	Dict       =				[
						    -0.0492, -0.0524, -0.0565, -0.0640, -0.0686, -0.0684, -0.0677, -0.0664,
						    -0.0605, -0.0490, -0.0330, -0.0168, -0.0083, -0.0075, -0.0051, 0.0025,
						    0.0136, 0.0261, 0.0386, 0.0497, 0.0580, 0.0599, 0.0583, 0.0614,
						    0.0740, 0.0889, 0.1023, 0.1162, 0.1211, 0.1212, 0.1251, 0.1336,
						    0.1502, 0.1686, 0.1883, 0.2148, 0.2363, 0.2458, 0.2507, 0.2531
						]
						SCREAMING_SNAKE_CASE__   :	Optional[Any]       =				[
						    0.0256, -0.0544, 0.1600, -0.0032, 0.1066, 0.0825, -0.0013, 0.3440,
						    0.0210, 0.0412, -0.1777, -0.0892, -0.0164, 0.0285, -0.0613, -0.0617,
						    -0.0137, -0.0201, -0.0175, 0.0215, -0.0627, 0.0520, -0.0730, 0.0970,
						    -0.0100, 0.0442, -0.0586, 0.0207, -0.0015, -0.0082
						]
						SCREAMING_SNAKE_CASE__   :	Union[str, Any]       =				[
						    0.0415, 0.0877, 0.0022, -0.0055, 0.0751, 0.0334, 0.0324, -0.0068,
						    0.0011, 0.0017, -0.0676, 0.0655, -0.0143, 0.0399, 0.0303, 0.0743,
						    -0.0168, -0.0394, -0.1113, 0.0124, 0.0442, 0.0267, -0.0003, -0.1536,
						    -0.0116, -0.1837, -0.0180, -0.1026, -0.0777, -0.0456
						]
						SCREAMING_SNAKE_CASE__   :	str       =				[
						    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
						]




						def     lowercase_			(					self				)       ->     Any:
										lowerCAmelCase_			:   str     					=					JukeboxTokenizer.from_pretrained(self.model_id				)
										lowerCAmelCase_			:   List[str]     					=					tokenizer(**self.metas				)['''input_ids''']
										return tokens




						@slow
						def     lowercase_			(					self				)       ->     Tuple:
										lowerCAmelCase_			:   List[str]     					=					JukeboxModel.from_pretrained(self.model_id ,    min_duration=0				).eval()
										lowerCAmelCase_			:   str     					=					self.prepare_inputs()

										set_seed(0				)
										lowerCAmelCase_			:   Any     					=					[torch.zeros(1 ,    0 ,    dtype=torch.long				).cpu() for _ in range(3				)]
										lowerCAmelCase_			:   Union[str, Any]     					=					model._sample(__lowercase ,    __lowercase ,    [0] ,    sample_length=4_0 * model.priors[0].raw_to_tokens ,    save_results=__lowercase				)
										self.assertIn(zs[0][0].detach().cpu().tolist() ,    [self.EXPECTED_OUTPUT_2, self.EXPECTED_OUTPUT_2_PT_2]				)

										set_seed(0				)
										lowerCAmelCase_			:   Union[str, Any]     					=					model._sample(__lowercase ,    __lowercase ,    [1] ,    sample_length=4_0 * model.priors[1].raw_to_tokens ,    save_results=__lowercase				)
										self.assertIn(zs[1][0].detach().cpu().tolist() ,    [self.EXPECTED_OUTPUT_1, self.EXPECTED_OUTPUT_1_PT_2]				)

										set_seed(0				)
										lowerCAmelCase_			:   List[Any]     					=					model._sample(__lowercase ,    __lowercase ,    [2] ,    sample_length=4_0 * model.priors[2].raw_to_tokens ,    save_results=__lowercase				)
										self.assertIn(zs[2][0].detach().cpu().tolist() ,    [self.EXPECTED_OUTPUT_0, self.EXPECTED_OUTPUT_0_PT_2]				)




						@slow
						def     lowercase_			(					self				)       ->     Optional[Any]:
										lowerCAmelCase_			:   Tuple     					=					False
										lowerCAmelCase_			:   Tuple     					=					JukeboxModel.from_pretrained(self.model_id ,    min_duration=0				).eval()

										lowerCAmelCase_			:   List[str]     					=					self.prepare_inputs()
										set_seed(0				)
										lowerCAmelCase_			:   Union[str, Any]     					=					[torch.zeros(1 ,    0 ,    dtype=torch.long				) for _ in range(3				)]

										lowerCAmelCase_			:   List[str]     					=					model.priors[0]
										lowerCAmelCase_			:   List[Any]     					=					0
										lowerCAmelCase_			:   Union[str, Any]     					=					top_prior.get_music_tokens_conds(__lowercase ,    start=__lowercase ,    end=start + top_prior.n_ctx				)
										lowerCAmelCase_			:   Optional[int]     					=					top_prior.get_metadata(labels[0].clone() ,    __lowercase ,    1_0_5_8_3_0_4 ,    0				)

										self.assertIsNone(__lowercase				)
										self.assertListEqual(metadata.numpy()[0][:1_0].tolist() ,    self.EXPECTED_Y_COND				)

										lowerCAmelCase_					,	lowerCAmelCase_					,	lowerCAmelCase_			:   str     					=					top_prior.get_cond(__lowercase ,    __lowercase				)
										torch.testing.assert_allclose(
										    audio_conditioning[0][0][:3_0].detach() ,    torch.tensor(self.EXPECTED_AUDIO_COND				) ,    atol=1e-4 ,    rtol=1e-4				)
										torch.testing.assert_allclose(
										    metadata_conditioning[0][0][:3_0].detach() ,    torch.tensor(self.EXPECTED_META_COND				) ,    atol=1e-4 ,    rtol=1e-4				)
										torch.testing.assert_allclose(
										    lyric_tokens[0, :3_0].detach() ,    torch.tensor(self.EXPECTED_LYRIC_COND				) ,    atol=1e-4 ,    rtol=1e-4				)




						@slow
						def     lowercase_			(					self				)       ->     Union[str, Any]:
										lowerCAmelCase_			:   List[Any]     					=					False

										lowerCAmelCase_			:   Tuple     					=					JukeboxModel.from_pretrained(self.model_id ,    min_duration=0				).eval()
										set_seed(0				)
										lowerCAmelCase_			:   List[Any]     					=					torch.rand((1, 5_1_2_0, 1)				)
										lowerCAmelCase_			:   Optional[Any]     					=					list(self.prepare_inputs()				)

										lowerCAmelCase_			:   int     					=					[model.vqvae.encode(__lowercase ,    start_level=2 ,    bs_chunks=waveform.shape[0]				)[0], None, None]
										lowerCAmelCase_			:   str     					=					model._sample(
										    __lowercase ,    __lowercase ,    sample_levels=[0] ,    save_results=__lowercase ,    sample_length=4_0 * model.priors[0].raw_to_tokens				)
										torch.testing.assert_allclose(zs[0][0][:4_0] ,    torch.tensor(self.EXPECTED_PRIMED_0				)				)

										lowerCAmelCase_			:   Union[str, Any]     					=					torch.cat((zs[0], torch.zeros(1 ,    2_0_4_8 - zs[0].shape[-1]				)) ,    dim=-1				).long()
										lowerCAmelCase_			:   str     					=					[upper_a, model.vqvae.encode(__lowercase ,    start_level=1 ,    bs_chunks=waveform.shape[0]				)[0], None]
										lowerCAmelCase_			:   str     					=					model._sample(
										    __lowercase ,    __lowercase ,    sample_levels=[1] ,    save_results=__lowercase ,    sample_length=4_0 * model.priors[1].raw_to_tokens				)
										torch.testing.assert_allclose(zs[1][0][:4_0] ,    torch.tensor(self.EXPECTED_PRIMED_1				)				)

										lowerCAmelCase_			:   Union[str, Any]     					=					torch.cat((zs[1], torch.zeros(1 ,    2_0_4_8 - zs[1].shape[-1]				)) ,    dim=-1				).long()
										lowerCAmelCase_			:   Any     					=					[upper_a, upper_a, model.vqvae.encode(__lowercase ,    start_level=0 ,    bs_chunks=waveform.shape[0]				)[0]]
										lowerCAmelCase_			:   Optional[int]     					=					model._sample(
										    __lowercase ,    __lowercase ,    sample_levels=[2] ,    save_results=__lowercase ,    sample_length=4_0 * model.priors[2].raw_to_tokens				)
										torch.testing.assert_allclose(zs[2][0][:4_0].cpu() ,    torch.tensor(self.EXPECTED_PRIMED_2				)				)




						@slow
						def     lowercase_			(					self				)       ->     Any:
										lowerCAmelCase_			:   List[str]     					=					JukeboxModel.from_pretrained(self.model_id ,    min_duration=0				).eval()
										set_seed(0				)
										lowerCAmelCase_			:   Optional[int]     					=					torch.rand((1, 5_1_2_0, 1)				)
										with torch.no_grad():
														lowerCAmelCase_			:   Optional[Any]     					=					model.vqvae.encode(__lowercase ,    start_level=2 ,    bs_chunks=x.shape[0]				)
										torch.testing.assert_allclose(zs[0][0] ,    torch.tensor(self.EXPECTED_VQVAE_ENCODE				)				)

										with torch.no_grad():
														lowerCAmelCase_			:   Optional[Any]     					=					model.vqvae.decode(__lowercase ,    start_level=2 ,    bs_chunks=x.shape[0]				)
										torch.testing.assert_allclose(x[0, :4_0, 0] ,    torch.tensor(self.EXPECTED_VQVAE_DECODE				) ,    atol=1e-4 ,    rtol=1e-4				)







@require_torch
class 					snake_case__(				unittest.TestCase				):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__   :	Optional[Any]       =				(JukeboxModel,) if is_torch_available() else ()
						SCREAMING_SNAKE_CASE__   :	List[str]       =				"""openai/jukebox-5b-lyrics"""
						SCREAMING_SNAKE_CASE__   :	str       =				{
						    """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
    """,
						}

						# fmt: off
						SCREAMING_SNAKE_CASE__   :	Dict       =				[
						    1_489, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
						    653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
						    653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
						    653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
						    1_489, 1_489, 1_489, 1_489, 1_150, 1_853, 1_509, 1_150, 1_357, 1_509, 6, 1_272
						]
						SCREAMING_SNAKE_CASE__   :	Optional[int]       =				[
						    1_489, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
						    653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
						    653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
						    653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
						    653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653
						]

						SCREAMING_SNAKE_CASE__   :	Optional[Any]       =				[
						    1_125, 416, 1_125, 1_125, 1_125, 1_125, 1_125, 416, 416, 416, 416, 416,
						    416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416,
						    416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416,
						    416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416,
						    416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416
						]
						SCREAMING_SNAKE_CASE__   :	Tuple       =				[
						    416, 416, 1_125, 1_125, 416, 416, 416, 416, 416, 416, 416, 416, 416,
						    416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416,
						    416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416,
						    416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416,
						    416, 416, 416, 416, 416, 416, 416, 416
						]

						SCREAMING_SNAKE_CASE__   :	List[Any]       =				[
						    1_755, 1_061, 234, 1_755, 1_061, 1_755, 185, 290, 307, 307, 616, 616,
						    616, 616, 616, 616, 307, 290, 417, 1_755, 234, 1_755, 185, 290,
						    290, 290, 307, 616, 616, 616, 616, 616, 290, 234, 234, 1_755,
						    234, 234, 1_755, 234, 185, 185, 307, 616, 616, 616, 616, 290,
						    1_755, 1_755, 1_755, 234, 234, 1_755, 1_572, 290, 307, 616, 34, 616
						]
						SCREAMING_SNAKE_CASE__   :	List[Any]       =				[
						    854, 842, 1_353, 114, 1_353, 842, 185, 842, 185, 114, 591, 842, 185,
						    417, 185, 842, 307, 842, 591, 842, 185, 842, 185, 842, 591, 842,
						    1_353, 842, 185, 842, 591, 842, 591, 114, 591, 842, 185, 842, 591,
						    89, 591, 842, 591, 842, 591, 417, 1_372, 842, 1_372, 842, 34, 842,
						    185, 89, 591, 842, 185, 842, 591, 632
						]

						SCREAMING_SNAKE_CASE__   :	Dict       =				[
						    1_489, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
						    653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
						    653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
						    653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
						    653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653
						]
						SCREAMING_SNAKE_CASE__   :	Optional[int]       =				[
						    1_489, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
						    653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
						    653, 653, 653, 653, 653, 653, 653, 1_853, 1_177, 1_536, 1_228,
						    710, 475, 1_489, 1_229, 1_224, 231, 1_224, 252, 1_434, 653, 475,
						    1_106, 1_877, 1_599, 1_228, 1_600, 1_683, 1_182, 1_853, 475, 1_864,
						    252, 1_229, 1_434, 2_001
						]

						SCREAMING_SNAKE_CASE__   :	List[Any]       =				[
						    1_125, 1_125, 416, 1_125, 1_125, 416, 1_125, 1_125, 416, 416, 1_125, 416,
						    416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416,
						    416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416,
						    416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416,
						    416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416
						]
						SCREAMING_SNAKE_CASE__   :	Tuple       =				[
						    491, 1_755, 34, 1_613, 1_755, 417, 992, 1_613, 222, 842, 1_353, 1_613,
						    844, 632, 185, 1_613, 844, 632, 185, 1_613, 185, 842, 677, 1_613,
						    185, 114, 1_353, 1_613, 307, 89, 844, 1_613, 307, 1_332, 234, 1_979,
						    307, 89, 1_353, 616, 34, 842, 185, 842, 34, 842, 185, 842,
						    307, 114, 185, 89, 34, 1_268, 185, 89, 34, 842, 185, 89
						]




						def     lowercase_			(					self ,    __lowercase				)       ->     str:
										lowerCAmelCase_			:   List[str]     					=					JukeboxTokenizer.from_pretrained(__lowercase				)
										lowerCAmelCase_			:   int     					=					tokenizer(**self.metas				)['''input_ids''']
										return tokens




						@slow
						def     lowercase_			(					self				)       ->     Tuple:
										lowerCAmelCase_			:   Optional[Any]     					=					JukeboxModel.from_pretrained(self.model_id ,    min_duration=0				).eval()
										lowerCAmelCase_			:   Tuple     					=					self.prepare_inputs(self.model_id				)

										set_seed(0				)
										lowerCAmelCase_			:   Union[str, Any]     					=					[torch.zeros(1 ,    0 ,    dtype=torch.long				).cpu() for _ in range(3				)]
										lowerCAmelCase_			:   Optional[Any]     					=					model._sample(__lowercase ,    __lowercase ,    [0] ,    sample_length=6_0 * model.priors[0].raw_to_tokens ,    save_results=__lowercase				)
										self.assertIn(zs[0][0].detach().cpu().tolist() ,    [self.EXPECTED_OUTPUT_2, self.EXPECTED_OUTPUT_2_PT_2]				)

										set_seed(0				)
										lowerCAmelCase_			:   str     					=					model._sample(__lowercase ,    __lowercase ,    [1] ,    sample_length=6_0 * model.priors[1].raw_to_tokens ,    save_results=__lowercase				)
										self.assertIn(zs[1][0].detach().cpu().tolist() ,    [self.EXPECTED_OUTPUT_1, self.EXPECTED_OUTPUT_1_PT_2]				)

										set_seed(0				)
										lowerCAmelCase_			:   Tuple     					=					model._sample(__lowercase ,    __lowercase ,    [2] ,    sample_length=6_0 * model.priors[2].raw_to_tokens ,    save_results=__lowercase				)
										self.assertIn(zs[2][0].detach().cpu().tolist() ,    [self.EXPECTED_OUTPUT_0, self.EXPECTED_OUTPUT_0_PT_2]				)




						@slow
						@skip('''Not enough GPU memory on CI runners'''				)
						def     lowercase_			(					self				)       ->     List[str]:
										lowerCAmelCase_			:   List[Any]     					=					JukeboxModel.from_pretrained(self.model_id ,    min_duration=0				).eval()
										lowerCAmelCase_			:   List[str]     					=					[i.cuda() for i in self.prepare_inputs(self.model_id				)]

										set_seed(0				)
										model.priors[0].cuda()
										lowerCAmelCase_			:   str     					=					[torch.zeros(1 ,    0 ,    dtype=torch.long				).cuda() for _ in range(3				)]
										lowerCAmelCase_			:   Optional[Any]     					=					model._sample(__lowercase ,    __lowercase ,    [0] ,    sample_length=6_0 * model.priors[0].raw_to_tokens ,    save_results=__lowercase				)
										torch.testing.assert_allclose(zs[0][0].cpu() ,    torch.tensor(self.EXPECTED_GPU_OUTPUTS_2				)				)
										model.priors[0].cpu()

										set_seed(0				)
										model.priors[1].cuda()
										lowerCAmelCase_			:   Optional[int]     					=					model._sample(__lowercase ,    __lowercase ,    [1] ,    sample_length=6_0 * model.priors[1].raw_to_tokens ,    save_results=__lowercase				)
										torch.testing.assert_allclose(zs[1][0].cpu() ,    torch.tensor(self.EXPECTED_GPU_OUTPUTS_1				)				)
										model.priors[1].cpu()

										set_seed(0				)
										model.priors[2].cuda()
										lowerCAmelCase_			:   Dict     					=					model._sample(__lowercase ,    __lowercase ,    [2] ,    sample_length=6_0 * model.priors[2].raw_to_tokens ,    save_results=__lowercase				)
										torch.testing.assert_allclose(zs[2][0].cpu() ,    torch.tensor(self.EXPECTED_GPU_OUTPUTS_0				)				)




						@slow
						def     lowercase_			(					self				)       ->     Tuple:
										lowerCAmelCase_			:   Optional[int]     					=					'''ArthurZ/jukebox_prior_0'''
										lowerCAmelCase_			:   Any     					=					JukeboxPrior.from_pretrained(__lowercase ,    min_duration=0				).eval().half().to('''cuda'''				)

										lowerCAmelCase_			:   Any     					=					self.prepare_inputs(__lowercase				)[0].cuda()
										lowerCAmelCase_			:   Dict     					=					model.get_metadata(__lowercase ,    0 ,    7_6_8_0 ,    0				)
										set_seed(0				)
										lowerCAmelCase_			:   Optional[Any]     					=					model.sample(1 ,    metadata=__lowercase ,    sample_tokens=6_0				)
										self.assertIn(outputs[0].cpu().tolist() ,    [self.EXPECTED_GPU_OUTPUTS_2, self.EXPECTED_GPU_OUTPUTS_2_PT_2]				)



import numpy as np

_UpperCAmelCase      :	int  =[
    ["""a""", """b""", """c""", """d""", """e"""],
    ["""f""", """g""", """h""", """i""", """k"""],
    ["""l""", """m""", """n""", """o""", """p"""],
    ["""q""", """r""", """s""", """t""", """u"""],
    ["""v""", """w""", """x""", """y""", """z"""],
]







class 					snake_case__:







						'''simple docstring'''




						def __init__(					self				)       ->     None:
										lowerCAmelCase_			:   List[Any]     					=					np.array(__lowercase				)




						def     lowercase_			(					self ,    __lowercase				)       ->     np.ndarray:
										lowerCAmelCase_					,	lowerCAmelCase_			:   List[str]     					=					np.where(letter == self.SQUARE				)
										lowerCAmelCase_			:   Union[str, Any]     					=					np.concatenate([indexa + 1, indexa + 1]				)
										return indexes




						def     lowercase_			(					self ,    __lowercase ,    __lowercase				)       ->     str:
										return self.SQUARE[indexa - 1, indexa - 1]




						def     lowercase_			(					self ,    __lowercase				)       ->     str:
										lowerCAmelCase_			:   Dict     					=					message.lower()
										lowerCAmelCase_			:   Any     					=					message.replace('''j''' ,    '''i'''				)

										lowerCAmelCase_			:   Optional[Any]     					=					''''''
										for letter_index in range(len(__lowercase				)				):
														if message[letter_index] != " ":
																		lowerCAmelCase_			:   Optional[Any]     					=					self.letter_to_numbers(message[letter_index]				)
																		lowerCAmelCase_			:   List[Any]     					=					encoded_message + str(numbers[0]				) + str(numbers[1]				)
														elif message[letter_index] == " ":
																		lowerCAmelCase_			:   Optional[Any]     					=					encoded_message + ''' '''

										return encoded_message




						def     lowercase_			(					self ,    __lowercase				)       ->     str:
										lowerCAmelCase_			:   List[str]     					=					message.replace(''' ''' ,    '''  '''				)
										lowerCAmelCase_			:   Union[str, Any]     					=					''''''
										for numbers_index in range(int(len(__lowercase				) / 2				)				):
														if message[numbers_index * 2] != " ":
																		lowerCAmelCase_			:   Any     					=					message[numbers_index * 2]
																		lowerCAmelCase_			:   Dict     					=					message[numbers_index * 2 + 1]

																		lowerCAmelCase_			:   Dict     					=					self.numbers_to_letter(int(__lowercase				) ,    int(__lowercase				)				)
																		lowerCAmelCase_			:   Tuple     					=					decoded_message + letter
														elif message[numbers_index * 2] == " ":
																		lowerCAmelCase_			:   List[str]     					=					decoded_message + ''' '''

										return decoded_message