




'''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):
       __lowercase     :					List[Any]       				=	(JukeboxModel,) if is_torch_available() else ()
       __lowercase     :					Dict       				=	'''openai/jukebox-1b-lyrics'''
       __lowercase     :					Dict       				=	{
           '''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     :					Tuple       				=	[
           1864, 1536, 1213, 1870, 1357, 1536, 519, 880, 1323, 789, 1082, 534,
           1000, 1445, 1105, 1130, 967, 515, 1434, 1620, 534, 1495, 283, 1445,
           333, 1307, 539, 1631, 1528, 375, 1434, 673, 627, 710, 778, 1883,
           1405, 1276, 1455, 1228
       ]

       __lowercase     :					List[str]       				=	[
           1489, 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
       ]

       __lowercase     :					List[Any]       				=	[
           1125, 1751, 697, 1776, 1141, 1476, 391, 697, 1125, 684, 867, 416,
           844, 1372, 1274, 717, 1274, 844, 1299, 1419, 697, 1370, 317, 1125,
           191, 1440, 1370, 1440, 1370, 282, 1621, 1370, 368, 349, 867, 1872,
           1262, 869, 1728, 747
       ]
       __lowercase     :					Optional[int]       				=	[
           416, 416, 1125, 1125, 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
       ]

       __lowercase     :					Tuple       				=	[
           1755, 842, 307, 1843, 1022, 1395, 234, 1554, 806, 739, 1022, 442,
           616, 556, 268, 1499, 933, 457, 1440, 1837, 755, 985, 308, 902,
           293, 1443, 1671, 1141, 1533, 555, 1562, 1061, 287, 417, 1022, 2008,
           1186, 1015, 1777, 268
       ]
       __lowercase     :					Dict       				=	[
           854, 842, 1353, 114, 1353, 842, 185, 842, 185, 114, 591, 842,
           185, 417, 185, 842, 307, 842, 591, 842, 185, 842, 307, 842,
           591, 842, 1353, 842, 185, 842, 591, 842, 591, 114, 591, 842,
           185, 842, 591, 89
       ]

       __lowercase     :					Dict       				=	[105_8304, 0, 78_6432, 7169, 507, 76, 27, 40, 30, 76]

       __lowercase     :					Dict       				=	[
           390, 1160, 1002, 1907, 1788, 1788, 1788, 1907, 1002, 1002, 1854, 1002,
           1002, 1002, 1002, 1002, 1002, 1160, 1160, 1606, 596, 596, 1160, 1002,
           1516, 596, 1002, 1002, 1002, 1907, 1788, 1788, 1788, 1854, 1788, 1907,
           1907, 1788, 596, 1626
       ]
       __lowercase     :					Optional[Any]       				=	[
           1236, 1668, 1484, 1920, 1848, 1409, 139, 864, 1828, 1272, 1599, 824,
           1672, 139, 555, 1484, 824, 1920, 555, 596, 1579, 1599, 1231, 1599,
           1637, 1407, 212, 824, 1599, 116, 1433, 824, 258, 1599, 1433, 1895,
           1063, 1433, 1433, 1599
       ]
       __lowercase     :					List[Any]       				=	[
           1684, 1873, 1119, 1189, 395, 611, 1901, 972, 890, 1337, 1392, 1927,
           96, 972, 672, 780, 1119, 890, 158, 771, 1073, 1927, 353, 1331,
           1269, 1459, 1333, 1645, 812, 1577, 1337, 606, 353, 981, 1466, 619,
           197, 391, 302, 1930
       ]
       __lowercase     :					Union[str, Any]       				=	[
           390, 1160, 1002, 1907, 1788, 1788, 1788, 1907, 1002, 1002, 1854, 1002,
           1002, 1002, 1002, 1002, 1002, 1160, 1160, 1606, 596, 596, 1160, 1002,
           1516, 596, 1002, 1002, 1002, 1907, 1788, 1788, 1788, 1854, 1788, 1907,
           1907, 1788, 596, 1626
       ]
       __lowercase     :					Optional[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
       ]
       __lowercase     :					Union[str, 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
       ]
       __lowercase     :					Optional[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
       ]
       __lowercase     :					Tuple       				=	[
           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 					lowerCAmelCase					(      self     )					->     Optional[Any]:



            '''simple docstring'''




            __snake_case			    =     JukeboxTokenizer.from_pretrained(self.model_id     )
            __snake_case			    =     tokenizer(**self.metas     )['''input_ids''']
            return tokens


       @slow
       def 					lowerCAmelCase					(      self     )					->     Tuple:



            '''simple docstring'''




            __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(__SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE			,     [0]			,     sample_length=40 * model.priors[0].raw_to_tokens			,     save_results=__SCREAMING_SNAKE_CASE     )
            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(__SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE			,     [1]			,     sample_length=40 * model.priors[1].raw_to_tokens			,     save_results=__SCREAMING_SNAKE_CASE     )
            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(__SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE			,     [2]			,     sample_length=40 * model.priors[2].raw_to_tokens			,     save_results=__SCREAMING_SNAKE_CASE     )
            self.assertIn(zs[2][0].detach().cpu().tolist()			,     [self.EXPECTED_OUTPUT_0, self.EXPECTED_OUTPUT_0_PT_2]     )


       @slow
       def 					lowerCAmelCase					(      self     )					->     Dict:



            '''simple docstring'''




            __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(__SCREAMING_SNAKE_CASE			,     start=__SCREAMING_SNAKE_CASE			,     end=start + top_prior.n_ctx     )
            __snake_case			    =     top_prior.get_metadata(labels[0].clone()			,     __SCREAMING_SNAKE_CASE			,     105_8304			,     0     )

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

            __snake_case    ,			__snake_case    ,			__snake_case			    =     top_prior.get_cond(__SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE     )
            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 					lowerCAmelCase					(      self     )					->     Any:



            '''simple docstring'''




            __snake_case			    =     False

            __snake_case			    =     JukeboxModel.from_pretrained(self.model_id			,     min_duration=0     ).eval()
            set_seed(0     )
            __snake_case			    =     torch.rand((1, 5120, 1)     )
            __snake_case			    =     list(self.prepare_inputs()     )

            __snake_case			    =     [model.vqvae.encode(__SCREAMING_SNAKE_CASE			,     start_level=2			,     bs_chunks=waveform.shape[0]     )[0], None, None]
            __snake_case			    =     model._sample(
                __SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE			,     sample_levels=[0]			,     save_results=__SCREAMING_SNAKE_CASE			,     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			,     2048 - zs[0].shape[-1]     ))			,     dim=-1     ).long()
            __snake_case			    =     [upper_a, model.vqvae.encode(__SCREAMING_SNAKE_CASE			,     start_level=1			,     bs_chunks=waveform.shape[0]     )[0], None]
            __snake_case			    =     model._sample(
                __SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE			,     sample_levels=[1]			,     save_results=__SCREAMING_SNAKE_CASE			,     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			,     2048 - zs[1].shape[-1]     ))			,     dim=-1     ).long()
            __snake_case			    =     [upper_a, upper_a, model.vqvae.encode(__SCREAMING_SNAKE_CASE			,     start_level=0			,     bs_chunks=waveform.shape[0]     )[0]]
            __snake_case			    =     model._sample(
                __SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE			,     sample_levels=[2]			,     save_results=__SCREAMING_SNAKE_CASE			,     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 					lowerCAmelCase					(      self     )					->     Tuple:



            '''simple docstring'''




            __snake_case			    =     JukeboxModel.from_pretrained(self.model_id			,     min_duration=0     ).eval()
            set_seed(0     )
            __snake_case			    =     torch.rand((1, 5120, 1)     )
            with torch.no_grad():
                 __snake_case			    =     model.vqvae.encode(__SCREAMING_SNAKE_CASE			,     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(__SCREAMING_SNAKE_CASE			,     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):
       __lowercase     :					List[Any]       				=	(JukeboxModel,) if is_torch_available() else ()
       __lowercase     :					List[Any]       				=	'''openai/jukebox-5b-lyrics'''
       __lowercase     :					Union[str, 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
       __lowercase     :					str       				=	[
           1489, 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,
           1489, 1489, 1489, 1489, 1150, 1853, 1509, 1150, 1357, 1509, 6, 1272
       ]
       __lowercase     :					Tuple       				=	[
           1489, 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
       ]

       __lowercase     :					str       				=	[
           1125, 416, 1125, 1125, 1125, 1125, 1125, 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
       ]
       __lowercase     :					str       				=	[
           416, 416, 1125, 1125, 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
       ]

       __lowercase     :					Optional[Any]       				=	[
           1755, 1061, 234, 1755, 1061, 1755, 185, 290, 307, 307, 616, 616,
           616, 616, 616, 616, 307, 290, 417, 1755, 234, 1755, 185, 290,
           290, 290, 307, 616, 616, 616, 616, 616, 290, 234, 234, 1755,
           234, 234, 1755, 234, 185, 185, 307, 616, 616, 616, 616, 290,
           1755, 1755, 1755, 234, 234, 1755, 1572, 290, 307, 616, 34, 616
       ]
       __lowercase     :					Any       				=	[
           854, 842, 1353, 114, 1353, 842, 185, 842, 185, 114, 591, 842, 185,
           417, 185, 842, 307, 842, 591, 842, 185, 842, 185, 842, 591, 842,
           1353, 842, 185, 842, 591, 842, 591, 114, 591, 842, 185, 842, 591,
           89, 591, 842, 591, 842, 591, 417, 1372, 842, 1372, 842, 34, 842,
           185, 89, 591, 842, 185, 842, 591, 632
       ]

       __lowercase     :					Tuple       				=	[
           1489, 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
       ]
       __lowercase     :					Union[str, Any]       				=	[
           1489, 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, 1853, 1177, 1536, 1228,
           710, 475, 1489, 1229, 1224, 231, 1224, 252, 1434, 653, 475,
           1106, 1877, 1599, 1228, 1600, 1683, 1182, 1853, 475, 1864,
           252, 1229, 1434, 2001
       ]

       __lowercase     :					Optional[int]       				=	[
           1125, 1125, 416, 1125, 1125, 416, 1125, 1125, 416, 416, 1125, 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
       ]
       __lowercase     :					int       				=	[
           491, 1755, 34, 1613, 1755, 417, 992, 1613, 222, 842, 1353, 1613,
           844, 632, 185, 1613, 844, 632, 185, 1613, 185, 842, 677, 1613,
           185, 114, 1353, 1613, 307, 89, 844, 1613, 307, 1332, 234, 1979,
           307, 89, 1353, 616, 34, 842, 185, 842, 34, 842, 185, 842,
           307, 114, 185, 89, 34, 1268, 185, 89, 34, 842, 185, 89
       ]


       def 					lowerCAmelCase					(      self			,     __SCREAMING_SNAKE_CASE     )					->     Any:



            '''simple docstring'''




            __snake_case			    =     JukeboxTokenizer.from_pretrained(__SCREAMING_SNAKE_CASE     )
            __snake_case			    =     tokenizer(**self.metas     )['''input_ids''']
            return tokens


       @slow
       def 					lowerCAmelCase					(      self     )					->     Any:



            '''simple docstring'''




            __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(__SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE			,     [0]			,     sample_length=60 * model.priors[0].raw_to_tokens			,     save_results=__SCREAMING_SNAKE_CASE     )
            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(__SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE			,     [1]			,     sample_length=60 * model.priors[1].raw_to_tokens			,     save_results=__SCREAMING_SNAKE_CASE     )
            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(__SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE			,     [2]			,     sample_length=60 * model.priors[2].raw_to_tokens			,     save_results=__SCREAMING_SNAKE_CASE     )
            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 					lowerCAmelCase					(      self     )					->     int:



            '''simple docstring'''




            __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(__SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE			,     [0]			,     sample_length=60 * model.priors[0].raw_to_tokens			,     save_results=__SCREAMING_SNAKE_CASE     )
            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(__SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE			,     [1]			,     sample_length=60 * model.priors[1].raw_to_tokens			,     save_results=__SCREAMING_SNAKE_CASE     )
            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(__SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE			,     [2]			,     sample_length=60 * model.priors[2].raw_to_tokens			,     save_results=__SCREAMING_SNAKE_CASE     )
            torch.testing.assert_allclose(zs[2][0].cpu()			,     torch.tensor(self.EXPECTED_GPU_OUTPUTS_0     )     )




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



            '''simple docstring'''




            __snake_case			    =     '''ArthurZ/jukebox_prior_0'''
            __snake_case			    =     JukeboxPrior.from_pretrained(__SCREAMING_SNAKE_CASE			,     min_duration=0     ).eval().half().to('''cuda'''     )

            __snake_case			    =     self.prepare_inputs(__SCREAMING_SNAKE_CASE     )[0].cuda()
            __snake_case			    =     model.get_metadata(__SCREAMING_SNAKE_CASE			,     0			,     7680			,     0     )
            set_seed(0     )
            __snake_case			    =     model.sample(1			,     metadata=__SCREAMING_SNAKE_CASE			,     sample_tokens=60     )
            self.assertIn(outputs[0].cpu().tolist()			,     [self.EXPECTED_GPU_OUTPUTS_2, self.EXPECTED_GPU_OUTPUTS_2_PT_2]     )












'''simple docstring'''



def 	_UpperCamelCase       (_lowerCamelCase							:   list[list[int]]      ,		_lowerCamelCase							:   list[list[int]]		)->      list[list[int]]:




     '''simple docstring'''





     __snake_case			    =     []
     __snake_case			    =     len(_lowerCamelCase		)
     for i in range(_lowerCamelCase		):
          __snake_case			    =     []
          for j in range(_lowerCamelCase		):
               __snake_case			    =     0
               for k in range(_lowerCamelCase		):
                    __snake_case			    =     val + matrix_a[i][k] * matrix_b[k][j]
               list_a.append(_lowerCamelCase		)
          matrix_c.append(_lowerCamelCase		)
     return matrix_c







def 	_UpperCamelCase       (_lowerCamelCase							:   int		)->      list[list[int]]:




     '''simple docstring'''





     return [[int(row == column		) for column in range(_lowerCamelCase		)] for row in range(_lowerCamelCase		)]







def 	_UpperCamelCase       (_lowerCamelCase							:   int		)->      int:




     '''simple docstring'''





     if n <= 1:
          return n
     __snake_case			    =     identity(2		)
     __snake_case			    =     [[1, 1], [1, 0]]
     __snake_case			    =     n - 1
     while n > 0:
          if n % 2 == 1:
               __snake_case			    =     multiply(_lowerCamelCase      ,		_lowerCamelCase		)
          __snake_case			    =     multiply(_lowerCamelCase      ,		_lowerCamelCase		)
          __snake_case			    =     int(n / 2		)
     return res_matrix[0][0]







def 	_UpperCamelCase       (_lowerCamelCase							:   int		)->      int:




     '''simple docstring'''





     if n <= 1:
          return n
     __snake_case			    =     0
     __snake_case			    =     1
     for _ in range(2      ,		n + 1		):
          __snake_case    ,			__snake_case			    =     fiba, fiba + fiba
     return fiba







def 	_UpperCamelCase       ()->      None:




     '''simple docstring'''





     for ordinal in "0th 1st 2nd 3rd 10th 100th 1000th".split():
          __snake_case			    =     int(''''''.join(c for c in ordinal if c in '''0123456789'''		)		)  # 1000th --> 1000
          print(
              f'''{ordinal} fibonacci number using matrix exponentiation is '''
              f'''{nth_fibonacci_matrix(_lowerCamelCase		)} and using bruteforce is '''
              f'''{nth_fibonacci_bruteforce(_lowerCamelCase		)}\n'''		)
     # from timeit import timeit
     # print(timeit("nth_fibonacci_matrix(1000000)",
     #              "from main import nth_fibonacci_matrix", number=5))
     # print(timeit("nth_fibonacci_bruteforce(1000000)",
     #              "from main import nth_fibonacci_bruteforce", number=5))
     # 2.3342058970001744
     # 57.256506615000035


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     main()






