




'''simple docstring'''







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 	lowerCamelCase_				(			unittest.TestCase				):




					'''simple docstring'''






					lowercase__       =					(JukeboxModel,) if is_torch_available() else ()
					lowercase__       =					"""openai/jukebox-1b-lyrics"""
					lowercase__       =					{
					    """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
					lowercase__       =					[
					    1_8_6_4, 1_5_3_6, 1_2_1_3, 1_8_7_0, 1_3_5_7, 1_5_3_6, 5_1_9, 8_8_0, 1_3_2_3, 7_8_9, 1_0_8_2, 5_3_4,
					    1_0_0_0, 1_4_4_5, 1_1_0_5, 1_1_3_0, 9_6_7, 5_1_5, 1_4_3_4, 1_6_2_0, 5_3_4, 1_4_9_5, 2_8_3, 1_4_4_5,
					    3_3_3, 1_3_0_7, 5_3_9, 1_6_3_1, 1_5_2_8, 3_7_5, 1_4_3_4, 6_7_3, 6_2_7, 7_1_0, 7_7_8, 1_8_8_3,
					    1_4_0_5, 1_2_7_6, 1_4_5_5, 1_2_2_8
					]

					lowercase__       =					[
					    1_4_8_9, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3,
					    6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3,
					    6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3,
					    6_5_3, 6_5_3, 6_5_3, 6_5_3
					]

					lowercase__       =					[
					    1_1_2_5, 1_7_5_1, 6_9_7, 1_7_7_6, 1_1_4_1, 1_4_7_6, 3_9_1, 6_9_7, 1_1_2_5, 6_8_4, 8_6_7, 4_1_6,
					    8_4_4, 1_3_7_2, 1_2_7_4, 7_1_7, 1_2_7_4, 8_4_4, 1_2_9_9, 1_4_1_9, 6_9_7, 1_3_7_0, 3_1_7, 1_1_2_5,
					    1_9_1, 1_4_4_0, 1_3_7_0, 1_4_4_0, 1_3_7_0, 2_8_2, 1_6_2_1, 1_3_7_0, 3_6_8, 3_4_9, 8_6_7, 1_8_7_2,
					    1_2_6_2, 8_6_9, 1_7_2_8, 7_4_7
					]
					lowercase__       =					[
					    4_1_6, 4_1_6, 1_1_2_5, 1_1_2_5, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6,
					    4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6,
					    4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6,
					    4_1_6, 4_1_6, 4_1_6, 4_1_6
					]

					lowercase__       =					[
					    1_7_5_5, 8_4_2, 3_0_7, 1_8_4_3, 1_0_2_2, 1_3_9_5, 2_3_4, 1_5_5_4, 8_0_6, 7_3_9, 1_0_2_2, 4_4_2,
					    6_1_6, 5_5_6, 2_6_8, 1_4_9_9, 9_3_3, 4_5_7, 1_4_4_0, 1_8_3_7, 7_5_5, 9_8_5, 3_0_8, 9_0_2,
					    2_9_3, 1_4_4_3, 1_6_7_1, 1_1_4_1, 1_5_3_3, 5_5_5, 1_5_6_2, 1_0_6_1, 2_8_7, 4_1_7, 1_0_2_2, 2_0_0_8,
					    1_1_8_6, 1_0_1_5, 1_7_7_7, 2_6_8
					]
					lowercase__       =					[
					    8_5_4, 8_4_2, 1_3_5_3, 1_1_4, 1_3_5_3, 8_4_2, 1_8_5, 8_4_2, 1_8_5, 1_1_4, 5_9_1, 8_4_2,
					    1_8_5, 4_1_7, 1_8_5, 8_4_2, 3_0_7, 8_4_2, 5_9_1, 8_4_2, 1_8_5, 8_4_2, 3_0_7, 8_4_2,
					    5_9_1, 8_4_2, 1_3_5_3, 8_4_2, 1_8_5, 8_4_2, 5_9_1, 8_4_2, 5_9_1, 1_1_4, 5_9_1, 8_4_2,
					    1_8_5, 8_4_2, 5_9_1, 8_9
					]

					lowercase__       =					[1_0_5_8_3_0_4, 0, 7_8_6_4_3_2, 7_1_6_9, 5_0_7, 7_6, 2_7, 4_0, 3_0, 7_6]

					lowercase__       =					[
					    3_9_0, 1_1_6_0, 1_0_0_2, 1_9_0_7, 1_7_8_8, 1_7_8_8, 1_7_8_8, 1_9_0_7, 1_0_0_2, 1_0_0_2, 1_8_5_4, 1_0_0_2,
					    1_0_0_2, 1_0_0_2, 1_0_0_2, 1_0_0_2, 1_0_0_2, 1_1_6_0, 1_1_6_0, 1_6_0_6, 5_9_6, 5_9_6, 1_1_6_0, 1_0_0_2,
					    1_5_1_6, 5_9_6, 1_0_0_2, 1_0_0_2, 1_0_0_2, 1_9_0_7, 1_7_8_8, 1_7_8_8, 1_7_8_8, 1_8_5_4, 1_7_8_8, 1_9_0_7,
					    1_9_0_7, 1_7_8_8, 5_9_6, 1_6_2_6
					]
					lowercase__       =					[
					    1_2_3_6, 1_6_6_8, 1_4_8_4, 1_9_2_0, 1_8_4_8, 1_4_0_9, 1_3_9, 8_6_4, 1_8_2_8, 1_2_7_2, 1_5_9_9, 8_2_4,
					    1_6_7_2, 1_3_9, 5_5_5, 1_4_8_4, 8_2_4, 1_9_2_0, 5_5_5, 5_9_6, 1_5_7_9, 1_5_9_9, 1_2_3_1, 1_5_9_9,
					    1_6_3_7, 1_4_0_7, 2_1_2, 8_2_4, 1_5_9_9, 1_1_6, 1_4_3_3, 8_2_4, 2_5_8, 1_5_9_9, 1_4_3_3, 1_8_9_5,
					    1_0_6_3, 1_4_3_3, 1_4_3_3, 1_5_9_9
					]
					lowercase__       =					[
					    1_6_8_4, 1_8_7_3, 1_1_1_9, 1_1_8_9, 3_9_5, 6_1_1, 1_9_0_1, 9_7_2, 8_9_0, 1_3_3_7, 1_3_9_2, 1_9_2_7,
					    9_6, 9_7_2, 6_7_2, 7_8_0, 1_1_1_9, 8_9_0, 1_5_8, 7_7_1, 1_0_7_3, 1_9_2_7, 3_5_3, 1_3_3_1,
					    1_2_6_9, 1_4_5_9, 1_3_3_3, 1_6_4_5, 8_1_2, 1_5_7_7, 1_3_3_7, 6_0_6, 3_5_3, 9_8_1, 1_4_6_6, 6_1_9,
					    1_9_7, 3_9_1, 3_0_2, 1_9_3_0
					]
					lowercase__       =					[
					    3_9_0, 1_1_6_0, 1_0_0_2, 1_9_0_7, 1_7_8_8, 1_7_8_8, 1_7_8_8, 1_9_0_7, 1_0_0_2, 1_0_0_2, 1_8_5_4, 1_0_0_2,
					    1_0_0_2, 1_0_0_2, 1_0_0_2, 1_0_0_2, 1_0_0_2, 1_1_6_0, 1_1_6_0, 1_6_0_6, 5_9_6, 5_9_6, 1_1_6_0, 1_0_0_2,
					    1_5_1_6, 5_9_6, 1_0_0_2, 1_0_0_2, 1_0_0_2, 1_9_0_7, 1_7_8_8, 1_7_8_8, 1_7_8_8, 1_8_5_4, 1_7_8_8, 1_9_0_7,
					    1_9_0_7, 1_7_8_8, 5_9_6, 1_6_2_6
					]
					lowercase__       =					[
					    -0.0_492, -0.0_524, -0.0_565, -0.0_640, -0.0_686, -0.0_684, -0.0_677, -0.0_664,
					    -0.0_605, -0.0_490, -0.0_330, -0.0_168, -0.0_083, -0.0_075, -0.0_051, 0.0_025,
					    0.0_136, 0.0_261, 0.0_386, 0.0_497, 0.0_580, 0.0_599, 0.0_583, 0.0_614,
					    0.0_740, 0.0_889, 0.1_023, 0.1_162, 0.1_211, 0.1_212, 0.1_251, 0.1_336,
					    0.1_502, 0.1_686, 0.1_883, 0.2_148, 0.2_363, 0.2_458, 0.2_507, 0.2_531
					]
					lowercase__       =					[
					    0.0_256, -0.0_544, 0.1_600, -0.0_032, 0.1_066, 0.0_825, -0.0_013, 0.3_440,
					    0.0_210, 0.0_412, -0.1_777, -0.0_892, -0.0_164, 0.0_285, -0.0_613, -0.0_617,
					    -0.0_137, -0.0_201, -0.0_175, 0.0_215, -0.0_627, 0.0_520, -0.0_730, 0.0_970,
					    -0.0_100, 0.0_442, -0.0_586, 0.0_207, -0.0_015, -0.0_082
					]
					lowercase__       =					[
					    0.0_415, 0.0_877, 0.0_022, -0.0_055, 0.0_751, 0.0_334, 0.0_324, -0.0_068,
					    0.0_011, 0.0_017, -0.0_676, 0.0_655, -0.0_143, 0.0_399, 0.0_303, 0.0_743,
					    -0.0_168, -0.0_394, -0.1_113, 0.0_124, 0.0_442, 0.0_267, -0.0_003, -0.1_536,
					    -0.0_116, -0.1_837, -0.0_180, -0.1_026, -0.0_777, -0.0_456
					]
					lowercase__       =					[
					    7_6, 2_7, 4_0, 3_0, 7_6, 4_6, 4_4, 4_7, 4_0, 3_7, 3_8, 3_1, 4_5, 4_5, 7_6, 3_8, 3_1, 3_3,
					    4_5, 7_6, 4_1, 3_2, 7_6, 4_5, 4_6, 4_1, 4_0, 3_1, 7_8, 7_6
					]






					def 							__SCREAMING_SNAKE_CASE      (       self					):
							_snake_case      			=			JukeboxTokenizer.from_pretrained(self.model_id					)
							_snake_case      			=			tokenizer(**self.metas					)["input_ids"]
							return tokens






					@slow
					def 							__SCREAMING_SNAKE_CASE      (       self					):
							_snake_case      			=			JukeboxModel.from_pretrained(self.model_id,    min_duration=0					).eval()
							_snake_case      			=			self.prepare_inputs()

							set_seed(0					)
							_snake_case      			=			[torch.zeros(1,    0,    dtype=torch.long					).cpu() for _ in range(3					)]
							_snake_case      			=			model._sample(__UpperCamelCase,    __UpperCamelCase,    [0],    sample_length=40 * model.priors[0].raw_to_tokens,    save_results=__UpperCamelCase					)
							self.assertIn(zs[0][0].detach().cpu().tolist(),    [self.EXPECTED_OUTPUT_2, self.EXPECTED_OUTPUT_2_PT_2]					)

							set_seed(0					)
							_snake_case      			=			model._sample(__UpperCamelCase,    __UpperCamelCase,    [1],    sample_length=40 * model.priors[1].raw_to_tokens,    save_results=__UpperCamelCase					)
							self.assertIn(zs[1][0].detach().cpu().tolist(),    [self.EXPECTED_OUTPUT_1, self.EXPECTED_OUTPUT_1_PT_2]					)

							set_seed(0					)
							_snake_case      			=			model._sample(__UpperCamelCase,    __UpperCamelCase,    [2],    sample_length=40 * model.priors[2].raw_to_tokens,    save_results=__UpperCamelCase					)
							self.assertIn(zs[2][0].detach().cpu().tolist(),    [self.EXPECTED_OUTPUT_0, self.EXPECTED_OUTPUT_0_PT_2]					)






					@slow
					def 							__SCREAMING_SNAKE_CASE      (       self					):
							_snake_case      			=			False
							_snake_case      			=			JukeboxModel.from_pretrained(self.model_id,    min_duration=0					).eval()

							_snake_case      			=			self.prepare_inputs()
							set_seed(0					)
							_snake_case      			=			[torch.zeros(1,    0,    dtype=torch.long					) for _ in range(3					)]

							_snake_case      			=			model.priors[0]
							_snake_case      			=			0
							_snake_case      			=			top_prior.get_music_tokens_conds(__UpperCamelCase,    start=__UpperCamelCase,    end=start + top_prior.n_ctx					)
							_snake_case      			=			top_prior.get_metadata(labels[0].clone(),    __UpperCamelCase,    1_058_304,    0					)

							self.assertIsNone(__UpperCamelCase					)
							self.assertListEqual(metadata.numpy()[0][:10].tolist(),    self.EXPECTED_Y_COND					)

							_snake_case			,       _snake_case			,       _snake_case      			=			top_prior.get_cond(__UpperCamelCase,    __UpperCamelCase					)
							torch.testing.assert_allclose(
							    audio_conditioning[0][0][:30].detach(),    torch.tensor(self.EXPECTED_AUDIO_COND					),    atol=1E-4,    rtol=1E-4					)
							torch.testing.assert_allclose(
							    metadata_conditioning[0][0][:30].detach(),    torch.tensor(self.EXPECTED_META_COND					),    atol=1E-4,    rtol=1E-4					)
							torch.testing.assert_allclose(
							    lyric_tokens[0, :30].detach(),    torch.tensor(self.EXPECTED_LYRIC_COND					),    atol=1E-4,    rtol=1E-4					)






					@slow
					def 							__SCREAMING_SNAKE_CASE      (       self					):
							_snake_case      			=			False

							_snake_case      			=			JukeboxModel.from_pretrained(self.model_id,    min_duration=0					).eval()
							set_seed(0					)
							_snake_case      			=			torch.rand((1, 5_120, 1)					)
							_snake_case      			=			list(self.prepare_inputs()					)

							_snake_case      			=			[model.vqvae.encode(__UpperCamelCase,    start_level=2,    bs_chunks=waveform.shape[0]					)[0], None, None]
							_snake_case      			=			model._sample(
							    __UpperCamelCase,    __UpperCamelCase,    sample_levels=[0],    save_results=__UpperCamelCase,    sample_length=40 * model.priors[0].raw_to_tokens					)
							torch.testing.assert_allclose(zs[0][0][:40],    torch.tensor(self.EXPECTED_PRIMED_0					)					)

							_snake_case      			=			torch.cat((zs[0], torch.zeros(1,    2_048 - zs[0].shape[-1]					)),    dim=-1					).long()
							_snake_case      			=			[upper_a, model.vqvae.encode(__UpperCamelCase,    start_level=1,    bs_chunks=waveform.shape[0]					)[0], None]
							_snake_case      			=			model._sample(
							    __UpperCamelCase,    __UpperCamelCase,    sample_levels=[1],    save_results=__UpperCamelCase,    sample_length=40 * model.priors[1].raw_to_tokens					)
							torch.testing.assert_allclose(zs[1][0][:40],    torch.tensor(self.EXPECTED_PRIMED_1					)					)

							_snake_case      			=			torch.cat((zs[1], torch.zeros(1,    2_048 - zs[1].shape[-1]					)),    dim=-1					).long()
							_snake_case      			=			[upper_a, upper_a, model.vqvae.encode(__UpperCamelCase,    start_level=0,    bs_chunks=waveform.shape[0]					)[0]]
							_snake_case      			=			model._sample(
							    __UpperCamelCase,    __UpperCamelCase,    sample_levels=[2],    save_results=__UpperCamelCase,    sample_length=40 * model.priors[2].raw_to_tokens					)
							torch.testing.assert_allclose(zs[2][0][:40].cpu(),    torch.tensor(self.EXPECTED_PRIMED_2					)					)






					@slow
					def 							__SCREAMING_SNAKE_CASE      (       self					):
							_snake_case      			=			JukeboxModel.from_pretrained(self.model_id,    min_duration=0					).eval()
							set_seed(0					)
							_snake_case      			=			torch.rand((1, 5_120, 1)					)
							with torch.no_grad():
									_snake_case      			=			model.vqvae.encode(__UpperCamelCase,    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():
									_snake_case      			=			model.vqvae.decode(__UpperCamelCase,    start_level=2,    bs_chunks=x.shape[0]					)
							torch.testing.assert_allclose(x[0, :40, 0],    torch.tensor(self.EXPECTED_VQVAE_DECODE					),    atol=1E-4,    rtol=1E-4					)





@require_torch
class 	lowerCamelCase_				(			unittest.TestCase				):




					'''simple docstring'''






					lowercase__       =					(JukeboxModel,) if is_torch_available() else ()
					lowercase__       =					"""openai/jukebox-5b-lyrics"""
					lowercase__       =					{
					    """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
					lowercase__       =					[
					    1_4_8_9, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3,
					    6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3,
					    6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3,
					    6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3,
					    1_4_8_9, 1_4_8_9, 1_4_8_9, 1_4_8_9, 1_1_5_0, 1_8_5_3, 1_5_0_9, 1_1_5_0, 1_3_5_7, 1_5_0_9, 6, 1_2_7_2
					]
					lowercase__       =					[
					    1_4_8_9, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3,
					    6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3,
					    6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3,
					    6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3,
					    6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3
					]

					lowercase__       =					[
					    1_1_2_5, 4_1_6, 1_1_2_5, 1_1_2_5, 1_1_2_5, 1_1_2_5, 1_1_2_5, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6,
					    4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6,
					    4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6,
					    4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6,
					    4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6
					]
					lowercase__       =					[
					    4_1_6, 4_1_6, 1_1_2_5, 1_1_2_5, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6,
					    4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6,
					    4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6,
					    4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6,
					    4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6
					]

					lowercase__       =					[
					    1_7_5_5, 1_0_6_1, 2_3_4, 1_7_5_5, 1_0_6_1, 1_7_5_5, 1_8_5, 2_9_0, 3_0_7, 3_0_7, 6_1_6, 6_1_6,
					    6_1_6, 6_1_6, 6_1_6, 6_1_6, 3_0_7, 2_9_0, 4_1_7, 1_7_5_5, 2_3_4, 1_7_5_5, 1_8_5, 2_9_0,
					    2_9_0, 2_9_0, 3_0_7, 6_1_6, 6_1_6, 6_1_6, 6_1_6, 6_1_6, 2_9_0, 2_3_4, 2_3_4, 1_7_5_5,
					    2_3_4, 2_3_4, 1_7_5_5, 2_3_4, 1_8_5, 1_8_5, 3_0_7, 6_1_6, 6_1_6, 6_1_6, 6_1_6, 2_9_0,
					    1_7_5_5, 1_7_5_5, 1_7_5_5, 2_3_4, 2_3_4, 1_7_5_5, 1_5_7_2, 2_9_0, 3_0_7, 6_1_6, 3_4, 6_1_6
					]
					lowercase__       =					[
					    8_5_4, 8_4_2, 1_3_5_3, 1_1_4, 1_3_5_3, 8_4_2, 1_8_5, 8_4_2, 1_8_5, 1_1_4, 5_9_1, 8_4_2, 1_8_5,
					    4_1_7, 1_8_5, 8_4_2, 3_0_7, 8_4_2, 5_9_1, 8_4_2, 1_8_5, 8_4_2, 1_8_5, 8_4_2, 5_9_1, 8_4_2,
					    1_3_5_3, 8_4_2, 1_8_5, 8_4_2, 5_9_1, 8_4_2, 5_9_1, 1_1_4, 5_9_1, 8_4_2, 1_8_5, 8_4_2, 5_9_1,
					    8_9, 5_9_1, 8_4_2, 5_9_1, 8_4_2, 5_9_1, 4_1_7, 1_3_7_2, 8_4_2, 1_3_7_2, 8_4_2, 3_4, 8_4_2,
					    1_8_5, 8_9, 5_9_1, 8_4_2, 1_8_5, 8_4_2, 5_9_1, 6_3_2
					]

					lowercase__       =					[
					    1_4_8_9, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3,
					    6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3,
					    6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3,
					    6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3,
					    6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3
					]
					lowercase__       =					[
					    1_4_8_9, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3,
					    6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3,
					    6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 6_5_3, 1_8_5_3, 1_1_7_7, 1_5_3_6, 1_2_2_8,
					    7_1_0, 4_7_5, 1_4_8_9, 1_2_2_9, 1_2_2_4, 2_3_1, 1_2_2_4, 2_5_2, 1_4_3_4, 6_5_3, 4_7_5,
					    1_1_0_6, 1_8_7_7, 1_5_9_9, 1_2_2_8, 1_6_0_0, 1_6_8_3, 1_1_8_2, 1_8_5_3, 4_7_5, 1_8_6_4,
					    2_5_2, 1_2_2_9, 1_4_3_4, 2_0_0_1
					]

					lowercase__       =					[
					    1_1_2_5, 1_1_2_5, 4_1_6, 1_1_2_5, 1_1_2_5, 4_1_6, 1_1_2_5, 1_1_2_5, 4_1_6, 4_1_6, 1_1_2_5, 4_1_6,
					    4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6,
					    4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6,
					    4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6,
					    4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6, 4_1_6
					]
					lowercase__       =					[
					    4_9_1, 1_7_5_5, 3_4, 1_6_1_3, 1_7_5_5, 4_1_7, 9_9_2, 1_6_1_3, 2_2_2, 8_4_2, 1_3_5_3, 1_6_1_3,
					    8_4_4, 6_3_2, 1_8_5, 1_6_1_3, 8_4_4, 6_3_2, 1_8_5, 1_6_1_3, 1_8_5, 8_4_2, 6_7_7, 1_6_1_3,
					    1_8_5, 1_1_4, 1_3_5_3, 1_6_1_3, 3_0_7, 8_9, 8_4_4, 1_6_1_3, 3_0_7, 1_3_3_2, 2_3_4, 1_9_7_9,
					    3_0_7, 8_9, 1_3_5_3, 6_1_6, 3_4, 8_4_2, 1_8_5, 8_4_2, 3_4, 8_4_2, 1_8_5, 8_4_2,
					    3_0_7, 1_1_4, 1_8_5, 8_9, 3_4, 1_2_6_8, 1_8_5, 8_9, 3_4, 8_4_2, 1_8_5, 8_9
					]






					def 							__SCREAMING_SNAKE_CASE      (       self,    __UpperCamelCase					):
							_snake_case      			=			JukeboxTokenizer.from_pretrained(__UpperCamelCase					)
							_snake_case      			=			tokenizer(**self.metas					)["input_ids"]
							return tokens






					@slow
					def 							__SCREAMING_SNAKE_CASE      (       self					):
							_snake_case      			=			JukeboxModel.from_pretrained(self.model_id,    min_duration=0					).eval()
							_snake_case      			=			self.prepare_inputs(self.model_id					)

							set_seed(0					)
							_snake_case      			=			[torch.zeros(1,    0,    dtype=torch.long					).cpu() for _ in range(3					)]
							_snake_case      			=			model._sample(__UpperCamelCase,    __UpperCamelCase,    [0],    sample_length=60 * model.priors[0].raw_to_tokens,    save_results=__UpperCamelCase					)
							self.assertIn(zs[0][0].detach().cpu().tolist(),    [self.EXPECTED_OUTPUT_2, self.EXPECTED_OUTPUT_2_PT_2]					)

							set_seed(0					)
							_snake_case      			=			model._sample(__UpperCamelCase,    __UpperCamelCase,    [1],    sample_length=60 * model.priors[1].raw_to_tokens,    save_results=__UpperCamelCase					)
							self.assertIn(zs[1][0].detach().cpu().tolist(),    [self.EXPECTED_OUTPUT_1, self.EXPECTED_OUTPUT_1_PT_2]					)

							set_seed(0					)
							_snake_case      			=			model._sample(__UpperCamelCase,    __UpperCamelCase,    [2],    sample_length=60 * model.priors[2].raw_to_tokens,    save_results=__UpperCamelCase					)
							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 							__SCREAMING_SNAKE_CASE      (       self					):
							_snake_case      			=			JukeboxModel.from_pretrained(self.model_id,    min_duration=0					).eval()
							_snake_case      			=			[i.cuda() for i in self.prepare_inputs(self.model_id					)]

							set_seed(0					)
							model.priors[0].cuda()
							_snake_case      			=			[torch.zeros(1,    0,    dtype=torch.long					).cuda() for _ in range(3					)]
							_snake_case      			=			model._sample(__UpperCamelCase,    __UpperCamelCase,    [0],    sample_length=60 * model.priors[0].raw_to_tokens,    save_results=__UpperCamelCase					)
							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()
							_snake_case      			=			model._sample(__UpperCamelCase,    __UpperCamelCase,    [1],    sample_length=60 * model.priors[1].raw_to_tokens,    save_results=__UpperCamelCase					)
							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()
							_snake_case      			=			model._sample(__UpperCamelCase,    __UpperCamelCase,    [2],    sample_length=60 * model.priors[2].raw_to_tokens,    save_results=__UpperCamelCase					)
							torch.testing.assert_allclose(zs[2][0].cpu(),    torch.tensor(self.EXPECTED_GPU_OUTPUTS_0					)					)






					@slow
					def 							__SCREAMING_SNAKE_CASE      (       self					):
							_snake_case      			=			"ArthurZ/jukebox_prior_0"
							_snake_case      			=			JukeboxPrior.from_pretrained(__UpperCamelCase,    min_duration=0					).eval().half().to("cuda"					)

							_snake_case      			=			self.prepare_inputs(__UpperCamelCase					)[0].cuda()
							_snake_case      			=			model.get_metadata(__UpperCamelCase,    0,    7_680,    0					)
							set_seed(0					)
							_snake_case      			=			model.sample(1,    metadata=__UpperCamelCase,    sample_tokens=60					)
							self.assertIn(outputs[0].cpu().tolist(),    [self.EXPECTED_GPU_OUTPUTS_2, self.EXPECTED_GPU_OUTPUTS_2_PT_2]					)






"""simple docstring"""
def  lowerCAmelCase__     (      _UpperCamelCase							:					list       )       ->					list:





						"""simple docstring"""






						if len(_UpperCamelCase       ) <= 1:
												return data
						else:
												return [
												    *quick_sort([e for e in data[1:] if e <= data[0]]       ),
												    data[0],
												    *quick_sort([e for e in data[1:] if e > data[0]]       ),
												]


if __name__ == "__main__":
					import doctest

					doctest.testmod()


