


import importlib.metadata
import sys

from transformers.testing_utils import TestCasePlus
from transformers.utils.versions import require_version, require_version_core


_A							     =       importlib.metadata.version('numpy')
_A							     =       '.'.join([str(x) for x in sys.version_info[:3]])

class 			lowerCamelCase_					(    __lowerCamelCase    ):





							def   __magic_name__      (							self    ):
								# lt + different version strings
								require_version_core("""numpy<1000.4.5"""    )
								require_version_core("""numpy<1000.4"""    )
								require_version_core("""numpy<1000"""    )

								# le
								require_version_core("""numpy<=1000.4.5"""    )
								require_version_core(f"""numpy<={numpy_ver}"""    )

								# eq
								require_version_core(f"""numpy=={numpy_ver}"""    )

								# ne
								require_version_core("""numpy!=1000.4.5"""    )

								# ge
								require_version_core("""numpy>=1.0"""    )
								require_version_core("""numpy>=1.0.0"""    )
								require_version_core(f"""numpy>={numpy_ver}"""    )

								# gt
								require_version_core("""numpy>1.0.0"""    )

								# mix
								require_version_core("""numpy>1.0.0,<1000"""    )

								# requirement w/o version
								require_version_core("""numpy"""    )

								# unmet requirements due to version conflict
								for req in ["numpy==1.0.0", "numpy>=1000.0.0", f"""numpy<{numpy_ver}"""]:
									try:
										require_version_core(UpperCamelCase_    )
									except ImportError as e:
										self.assertIn(f"""{req} is required"""			,       str(UpperCamelCase_    )    )
										self.assertIn("""but found"""			,       str(UpperCamelCase_    )    )

        # unmet requirements due to missing module
								for req in ["numpipypie>1", "numpipypie2"]:
									try:
										require_version_core(UpperCamelCase_    )
									except importlib.metadata.PackageNotFoundError as e:
										self.assertIn(f"""The \'{req}\' distribution was not found and is required by this application"""			,       str(UpperCamelCase_    )    )
										self.assertIn("""Try: pip install transformers -U"""			,       str(UpperCamelCase_    )    )

        # bogus requirements formats:
        # 1. whole thing
								for req in ["numpy??1.0.0", "numpy1.0.0"]:
									try:
										require_version_core(UpperCamelCase_    )
									except ValueError as e:
										self.assertIn("""requirement needs to be in the pip package format"""			,       str(UpperCamelCase_    )    )
        # 2. only operators
								for req in ["numpy=1.0.0", "numpy == 1.00", "numpy<>1.0.0", "numpy><1.00", "numpy>>1.0.0"]:
									try:
										require_version_core(UpperCamelCase_    )
									except ValueError as e:
										self.assertIn("""need one of """			,       str(UpperCamelCase_    )    )





							def   __magic_name__      (							self    ):
								# matching requirement
								require_version("""python>=3.6.0"""    )

								# not matching requirements
								for req in ["python>9.9.9", "python<3.0.0"]:
									try:
										require_version_core(UpperCamelCase_    )
									except ImportError as e:
										self.assertIn(f"""{req} is required"""			,       str(UpperCamelCase_    )    )
										self.assertIn(f"""but found python=={python_ver}"""			,       str(UpperCamelCase_    )    )





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):
      UpperCAmelCase__ :      Optional[Any]       						=  (JukeboxModel,) if is_torch_available() else ()
      UpperCAmelCase__ :      Union[str, Any]       						=  'openai/jukebox-1b-lyrics'
      UpperCAmelCase__ :      Optional[int]       						=  {
          '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__ :      Dict       						=  [
          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
      ]

      UpperCAmelCase__ :      List[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, 653, 653, 653, 653, 653,
          653, 653, 653, 653
      ]

      UpperCAmelCase__ :      str       						=  [
          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
      ]
      UpperCAmelCase__ :      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
      ]

      UpperCAmelCase__ :      str       						=  [
          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
      ]
      UpperCAmelCase__ :      Tuple       						=  [
          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
      ]

      UpperCAmelCase__ :      List[Any]       						=  [105_8304, 0, 78_6432, 7169, 507, 76, 27, 40, 30, 76]

      UpperCAmelCase__ :      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
      ]
      UpperCAmelCase__ :      List[str]       						=  [
          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
      ]
      UpperCAmelCase__ :      str       						=  [
          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
      ]
      UpperCAmelCase__ :      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
      ]
      UpperCAmelCase__ :      Optional[int]       						=  [
          -0.04_92, -0.05_24, -0.05_65, -0.06_40, -0.06_86, -0.06_84, -0.06_77, -0.06_64,
          -0.06_05, -0.04_90, -0.03_30, -0.01_68, -0.00_83, -0.00_75, -0.00_51, 0.00_25,
          0.01_36, 0.02_61, 0.03_86, 0.04_97, 0.05_80, 0.05_99, 0.05_83, 0.06_14,
          0.07_40, 0.08_89, 0.10_23, 0.11_62, 0.12_11, 0.12_12, 0.12_51, 0.13_36,
          0.15_02, 0.16_86, 0.18_83, 0.21_48, 0.23_63, 0.24_58, 0.25_07, 0.25_31
      ]
      UpperCAmelCase__ :      Union[str, Any]       						=  [
          0.02_56, -0.05_44, 0.16_00, -0.00_32, 0.10_66, 0.08_25, -0.00_13, 0.34_40,
          0.02_10, 0.04_12, -0.17_77, -0.08_92, -0.01_64, 0.02_85, -0.06_13, -0.06_17,
          -0.01_37, -0.02_01, -0.01_75, 0.02_15, -0.06_27, 0.05_20, -0.07_30, 0.09_70,
          -0.01_00, 0.04_42, -0.05_86, 0.02_07, -0.00_15, -0.00_82
      ]
      UpperCAmelCase__ :      str       						=  [
          0.04_15, 0.08_77, 0.00_22, -0.00_55, 0.07_51, 0.03_34, 0.03_24, -0.00_68,
          0.00_11, 0.00_17, -0.06_76, 0.06_55, -0.01_43, 0.03_99, 0.03_03, 0.07_43,
          -0.01_68, -0.03_94, -0.11_13, 0.01_24, 0.04_42, 0.02_67, -0.00_03, -0.15_36,
          -0.01_16, -0.18_37, -0.01_80, -0.10_26, -0.07_77, -0.04_56
      ]
      UpperCAmelCase__ :      int       						=  [
          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:					Dict  ):
             __lowerCamelCase  =		JukeboxTokenizer.from_pretrained(self.model_id  )
             __lowerCamelCase  =		tokenizer(**self.metas  )["""input_ids"""]
             return tokens
      @slow
      def      lowerCAmelCase__		(							self:					Union[str, Any]  ):
             __lowerCamelCase  =		JukeboxModel.from_pretrained(self.model_id       ,			min_duration=0  ).eval()
             __lowerCamelCase  =		self.prepare_inputs()

             set_seed(0  )
             __lowerCamelCase  =		[torch.zeros(1       ,			0       ,			dtype=torch.long  ).cpu() for _ in range(3  )]
             __lowerCamelCase  =		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  )
             __lowerCamelCase  =		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  )
             __lowerCamelCase  =		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      lowerCAmelCase__		(							self:					Union[str, Any]  ):
             __lowerCamelCase  =		False
             __lowerCamelCase  =		JukeboxModel.from_pretrained(self.model_id       ,			min_duration=0  ).eval()

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

             __lowerCamelCase  =		model.priors[0]
             __lowerCamelCase  =		0
             __lowerCamelCase  =		top_prior.get_music_tokens_conds(UpperCamelCase_       ,			start=UpperCamelCase_       ,			end=start + top_prior.n_ctx  )
             __lowerCamelCase  =		top_prior.get_metadata(labels[0].clone()       ,			UpperCamelCase_       ,			1_05_83_04       ,			0  )

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

             __lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase  =		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      lowerCAmelCase__		(							self:					List[Any]  ):
             __lowerCamelCase  =		False

             __lowerCamelCase  =		JukeboxModel.from_pretrained(self.model_id       ,			min_duration=0  ).eval()
             set_seed(0  )
             __lowerCamelCase  =		torch.rand((1, 51_20, 1)  )
             __lowerCamelCase  =		list(self.prepare_inputs()  )

             __lowerCamelCase  =		[model.vqvae.encode(UpperCamelCase_       ,			start_level=2       ,			bs_chunks=waveform.shape[0]  )[0], None, None]
             __lowerCamelCase  =		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  )  )

             __lowerCamelCase  =		torch.cat((zs[0], torch.zeros(1       ,			20_48 - zs[0].shape[-1]  ))       ,			dim=-1  ).long()
             __lowerCamelCase  =		[upper_a, model.vqvae.encode(UpperCamelCase_       ,			start_level=1       ,			bs_chunks=waveform.shape[0]  )[0], None]
             __lowerCamelCase  =		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  )  )

             __lowerCamelCase  =		torch.cat((zs[1], torch.zeros(1       ,			20_48 - zs[1].shape[-1]  ))       ,			dim=-1  ).long()
             __lowerCamelCase  =		[upper_a, upper_a, model.vqvae.encode(UpperCamelCase_       ,			start_level=0       ,			bs_chunks=waveform.shape[0]  )[0]]
             __lowerCamelCase  =		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      lowerCAmelCase__		(							self:					List[Any]  ):
             __lowerCamelCase  =		JukeboxModel.from_pretrained(self.model_id       ,			min_duration=0  ).eval()
             set_seed(0  )
             __lowerCamelCase  =		torch.rand((1, 51_20, 1)  )
             with torch.no_grad():
                    __lowerCamelCase  =		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():
                    __lowerCamelCase  =		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):
      UpperCAmelCase__ :      List[Any]       						=  (JukeboxModel,) if is_torch_available() else ()
      UpperCAmelCase__ :      Optional[int]       						=  'openai/jukebox-5b-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]       						=  [
          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
      ]
      UpperCAmelCase__ :      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, 653, 653, 653, 653, 653,
          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__ :      Optional[int]       						=  [
          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
      ]
      UpperCAmelCase__ :      List[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
      ]

      UpperCAmelCase__ :      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
      ]
      UpperCAmelCase__ :      str       						=  [
          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
      ]

      UpperCAmelCase__ :      List[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, 653, 653, 653, 653, 653,
          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__ :      Dict       						=  [
          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
      ]

      UpperCAmelCase__ :      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
      ]
      UpperCAmelCase__ :      str       						=  [
          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:					Optional[Any]       ,			UpperCamelCase_:					Optional[int]  ):
             __lowerCamelCase  =		JukeboxTokenizer.from_pretrained(UpperCamelCase_  )
             __lowerCamelCase  =		tokenizer(**self.metas  )["""input_ids"""]
             return tokens
      @slow
      def      lowerCAmelCase__		(							self:					Tuple  ):
             __lowerCamelCase  =		JukeboxModel.from_pretrained(self.model_id       ,			min_duration=0  ).eval()
             __lowerCamelCase  =		self.prepare_inputs(self.model_id  )

             set_seed(0  )
             __lowerCamelCase  =		[torch.zeros(1       ,			0       ,			dtype=torch.long  ).cpu() for _ in range(3  )]
             __lowerCamelCase  =		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  )
             __lowerCamelCase  =		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  )
             __lowerCamelCase  =		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      lowerCAmelCase__		(							self:					List[Any]  ):
             __lowerCamelCase  =		JukeboxModel.from_pretrained(self.model_id       ,			min_duration=0  ).eval()
             __lowerCamelCase  =		[i.cuda() for i in self.prepare_inputs(self.model_id  )]

             set_seed(0  )
             model.priors[0].cuda()
             __lowerCamelCase  =		[torch.zeros(1       ,			0       ,			dtype=torch.long  ).cuda() for _ in range(3  )]
             __lowerCamelCase  =		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()
             __lowerCamelCase  =		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()
             __lowerCamelCase  =		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      lowerCAmelCase__		(							self:					Dict  ):
             __lowerCamelCase  =		"""ArthurZ/jukebox_prior_0"""
             __lowerCamelCase  =		JukeboxPrior.from_pretrained(UpperCamelCase_       ,			min_duration=0  ).eval().half().to("""cuda"""  )

             __lowerCamelCase  =		self.prepare_inputs(UpperCamelCase_  )[0].cuda()
             __lowerCamelCase  =		model.get_metadata(UpperCamelCase_       ,			0       ,			76_80       ,			0  )
             set_seed(0  )
             __lowerCamelCase  =		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]  )

