





"""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"""






      UpperCAmelCase_  : Dict				      =(JukeboxModel,) if is_torch_available() else ()
      UpperCAmelCase_  : Any				      ="openai/jukebox-1b-lyrics"
      UpperCAmelCase_  : Optional[Any]				      ={
          "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    ",
      }
      # fmt: off
      UpperCAmelCase_  : Optional[int]				      =[
          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
      ]

      UpperCAmelCase_  : str				      =[
          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
      ]

      UpperCAmelCase_  : str				      =[
          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
      ]
      UpperCAmelCase_  : int				      =[
          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
      ]

      UpperCAmelCase_  : Tuple				      =[
          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
      ]
      UpperCAmelCase_  : Dict				      =[
          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
      ]

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

      UpperCAmelCase_  : List[str]				      =[
          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
      ]
      UpperCAmelCase_  : Union[str, Any]				      =[
          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
      ]
      UpperCAmelCase_  : List[Any]				      =[
          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
      ]
      UpperCAmelCase_  : Optional[Any]				      =[
          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
      ]
      UpperCAmelCase_  : Union[str, Any]				      =[
          -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
      ]
      UpperCAmelCase_  : List[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
      ]
      UpperCAmelCase_  : Tuple				      =[
          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
      ]
      UpperCAmelCase_  : Optional[Any]				      =[
          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   UpperCAmelCase						(	self				)    ->				str:






        '''simple docstring'''






        __snake_case				:			Optional[int]            =    JukeboxTokenizer.from_pretrained(self.model_id				)
        __snake_case				:			Optional[int]            =    tokenizer(**self.metas				)["input_ids"]
        return tokens







      @slow
      def   UpperCAmelCase						(	self				)    ->				Union[str, Any]:






        '''simple docstring'''






        __snake_case				:			Any            =    JukeboxModel.from_pretrained(self.model_id			,  min_duration=0				).eval()
        __snake_case				:			List[Any]            =    self.prepare_inputs()

        set_seed(0				)
        __snake_case				:			Tuple            =    [torch.zeros(1			,  0			,  dtype=torch.long				).cpu() for _ in range(3				)]
        __snake_case				:			List[str]            =    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				:			Tuple            =    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				:			Dict            =    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   UpperCAmelCase						(	self				)    ->				int:






        '''simple docstring'''






        __snake_case				:			List[str]            =    False
        __snake_case				:			str            =    JukeboxModel.from_pretrained(self.model_id			,  min_duration=0				).eval()

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

        __snake_case				:			Tuple            =    model.priors[0]
        __snake_case				:			Dict            =    0
        __snake_case				:			Any            =    top_prior.get_music_tokens_conds(UpperCAmelCase			,  start=UpperCAmelCase			,  end=start + top_prior.n_ctx				)
        __snake_case				:			int            =    top_prior.get_metadata(labels[0].clone()			,  UpperCAmelCase			,  1058304			,  0				)

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

        __snake_case				:			Any            =    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   UpperCAmelCase						(	self				)    ->				Dict:






        '''simple docstring'''






        __snake_case				:			List[str]            =    False

        __snake_case				:			Dict            =    JukeboxModel.from_pretrained(self.model_id			,  min_duration=0				).eval()
        set_seed(0				)
        __snake_case				:			List[Any]            =    torch.rand((1, 5120, 1)				)
        __snake_case				:			Any            =    list(self.prepare_inputs()				)

        __snake_case				:			int            =    [model.vqvae.encode(UpperCAmelCase			,  start_level=2			,  bs_chunks=waveform.shape[0]				)[0], None, None]
        __snake_case				:			Optional[int]            =    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				:			Union[str, Any]            =    torch.cat((zs[0], torch.zeros(1			,  2048 - zs[0].shape[-1]				))			,  dim=-1				).long()
        __snake_case				:			Tuple            =    [upper_a, model.vqvae.encode(UpperCAmelCase			,  start_level=1			,  bs_chunks=waveform.shape[0]				)[0], None]
        __snake_case				:			Dict            =    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				:			Dict            =    torch.cat((zs[1], torch.zeros(1			,  2048 - zs[1].shape[-1]				))			,  dim=-1				).long()
        __snake_case				:			int            =    [upper_a, upper_a, model.vqvae.encode(UpperCAmelCase			,  start_level=0			,  bs_chunks=waveform.shape[0]				)[0]]
        __snake_case				:			List[Any]            =    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   UpperCAmelCase						(	self				)    ->				str:






        '''simple docstring'''






        __snake_case				:			List[str]            =    JukeboxModel.from_pretrained(self.model_id			,  min_duration=0				).eval()
        set_seed(0				)
        __snake_case				:			Tuple            =    torch.rand((1, 5120, 1)				)
        with torch.no_grad():
          __snake_case				:			Dict            =    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				:			Optional[Any]            =    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"""






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

      # fmt: off
      UpperCAmelCase_  : 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,
          1_489, 1_489, 1_489, 1_489, 1_150, 1_853, 1_509, 1_150, 1_357, 1_509, 6, 1_272
      ]
      UpperCAmelCase_  : 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, 653, 653, 653, 653, 653, 653, 653, 653,
          653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653
      ]

      UpperCAmelCase_  : int				      =[
          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
      ]
      UpperCAmelCase_  : Optional[Any]				      =[
          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
      ]

      UpperCAmelCase_  : Dict				      =[
          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
      ]
      UpperCAmelCase_  : Optional[int]				      =[
          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
      ]

      UpperCAmelCase_  : Optional[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, 653, 653, 653, 653, 653, 653, 653, 653,
          653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653
      ]
      UpperCAmelCase_  : 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, 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
      ]

      UpperCAmelCase_  : str				      =[
          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
      ]
      UpperCAmelCase_  : List[str]				      =[
          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   UpperCAmelCase						(	self			,  UpperCAmelCase				)    ->				Union[str, Any]:






        '''simple docstring'''






        __snake_case				:			str            =    JukeboxTokenizer.from_pretrained(UpperCAmelCase				)
        __snake_case				:			List[str]            =    tokenizer(**self.metas				)["input_ids"]
        return tokens







      @slow
      def   UpperCAmelCase						(	self				)    ->				List[Any]:






        '''simple docstring'''






        __snake_case				:			Optional[Any]            =    JukeboxModel.from_pretrained(self.model_id			,  min_duration=0				).eval()
        __snake_case				:			Optional[Any]            =    self.prepare_inputs(self.model_id				)

        set_seed(0				)
        __snake_case				:			List[str]            =    [torch.zeros(1			,  0			,  dtype=torch.long				).cpu() for _ in range(3				)]
        __snake_case				:			Any            =    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				:			Union[str, Any]            =    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				:			int            =    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   UpperCAmelCase						(	self				)    ->				Union[str, Any]:






        '''simple docstring'''






        __snake_case				:			str            =    JukeboxModel.from_pretrained(self.model_id			,  min_duration=0				).eval()
        __snake_case				:			List[str]            =    [i.cuda() for i in self.prepare_inputs(self.model_id				)]

        set_seed(0				)
        model.priors[0].cuda()
        __snake_case				:			Optional[Any]            =    [torch.zeros(1			,  0			,  dtype=torch.long				).cuda() for _ in range(3				)]
        __snake_case				:			Any            =    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				:			Any            =    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				:			Tuple            =    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   UpperCAmelCase						(	self				)    ->				List[Any]:






        '''simple docstring'''






        __snake_case				:			str            =    "ArthurZ/jukebox_prior_0"
        __snake_case				:			Optional[Any]            =    JukeboxPrior.from_pretrained(UpperCAmelCase			,  min_duration=0				).eval().half().to("cuda"				)

        __snake_case				:			List[str]            =    self.prepare_inputs(UpperCAmelCase				)[0].cuda()
        __snake_case				:			Union[str, Any]            =    model.get_metadata(UpperCAmelCase			,  0			,  7680			,  0				)
        set_seed(0				)
        __snake_case				:			List[Any]            =    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]				)








def  lowerCAmelCase__(		lowercase    :      int = 10**6			)	->      int:

  if n <= 0:
    raise ValueError("Please enter an integer greater than 0"			)

  __snake_case				:			List[Any]            =    list(range(n + 1			)			)
  for number in range(2				,       n + 1			):
    if phi[number] == number:
      phi[number] -= 1
      for multiple in range(number * 2				,       n + 1				,       lowercase			):
        __snake_case				:			Optional[int]            =    (phi[multiple] // number) * (number - 1)

  __snake_case				:			List[Any]            =    1
  for number in range(1				,       n + 1			):
    if (answer / phi[answer]) < (number / phi[number]):
      __snake_case				:			List[str]            =    number

  return answer


if __name__ == "__main__":
     print(solution())

