code: 
  
  
  
  
  
  
  """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'''
  
  
  
  
  
  
  		a_			:       int      =							(JukeboxModel,) if is_torch_available() else ()
  		a_			:       str      =							"""openai/jukebox-1b-lyrics"""
  		a_			:       str      =							{
  		    """artist""": """Zac Brown Band""",
  		    """genres""": """Country""",
  		    """lyrics""": """I met a traveller from an antique land,
      Who said \"Two vast and trunkless legs of stone
      Stand in the desert. . . . Near them, on the sand,
      Half sunk a shattered visage lies, whose frown,
      And wrinkled lip, and sneer of cold command,
      Tell that its sculptor well those passions read
      Which yet survive, stamped on these lifeless things,
      The hand that mocked them, and the heart that fed;
      And on the pedestal, these words appear:
      My name is Ozymandias, King of Kings;
      Look on my Works, ye Mighty, and despair!
      Nothing beside remains. Round the decay
      Of that colossal Wreck, boundless and bare
      The lone and level sands stretch far away
      """,
  		}
  		# fmt: off
  		a_			:       Optional[Any]      =							[
  		    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
  		]
  
  		a_			:       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, 653, 653, 653, 653, 653,
  		    653, 653, 653, 653
  		]
  
  		a_			:       List[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
  		]
  		a_			:       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
  		]
  
  		a_			:       Optional[int]      =							[
  		    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
  		]
  		a_			:       Union[str, Any]      =							[
  		    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
  		]
  
  		a_			:       Tuple      =							[105_8304, 0, 78_6432, 7169, 507, 76, 27, 40, 30, 76]
  
  		a_			:       str      =							[
  		    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
  		]
  		a_			:       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
  		]
  		a_			:       List[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
  		]
  		a_			:       str      =							[
  		    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
  		]
  		a_			:       Union[str, Any]      =							[
  		    -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
  		]
  		a_			:       List[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
  		]
  		a_			:       Optional[int]      =							[
  		    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
  		]
  		a_			:       Dict      =							[
  		    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_     :							Dict             =    JukeboxTokenizer.from_pretrained(self.model_id			)
  				lowerCAmelCase_     :							Optional[int]             =    tokenizer(**self.metas			)['''input_ids''']
  				return tokens
  
  
  
  
  
  		@slow
  		def      lowerCamelCase (     self							:			List[Any]			):
  				lowerCAmelCase_     :							List[str]             =    JukeboxModel.from_pretrained(self.model_id		,    min_duration=0			).eval()
  				lowerCAmelCase_     :							List[Any]             =    self.prepare_inputs()
  
  				set_seed(0			)
  				lowerCAmelCase_     :							str             =    [torch.zeros(1		,    0		,    dtype=torch.long			).cpu() for _ in range(3			)]
  				lowerCAmelCase_     :							List[Any]             =    model._sample(lowercase_		,    lowercase_		,    [0]		,    sample_length=40 * model.priors[0].raw_to_tokens		,    save_results=lowercase_			)
  				self.assertIn(zs[0][0].detach().cpu().tolist()		,    [self.EXPECTED_OUTPUT_2, self.EXPECTED_OUTPUT_2_PT_2]			)
  
  				set_seed(0			)
  				lowerCAmelCase_     :							Any             =    model._sample(lowercase_		,    lowercase_		,    [1]		,    sample_length=40 * model.priors[1].raw_to_tokens		,    save_results=lowercase_			)
  				self.assertIn(zs[1][0].detach().cpu().tolist()		,    [self.EXPECTED_OUTPUT_1, self.EXPECTED_OUTPUT_1_PT_2]			)
  
  				set_seed(0			)
  				lowerCAmelCase_     :							Tuple             =    model._sample(lowercase_		,    lowercase_		,    [2]		,    sample_length=40 * model.priors[2].raw_to_tokens		,    save_results=lowercase_			)
  				self.assertIn(zs[2][0].detach().cpu().tolist()		,    [self.EXPECTED_OUTPUT_0, self.EXPECTED_OUTPUT_0_PT_2]			)
  
  
  
  
  
  		@slow
  		def      lowerCamelCase (     self							:			Optional[int]			):
  				lowerCAmelCase_     :							List[Any]             =    False
  				lowerCAmelCase_     :							int             =    JukeboxModel.from_pretrained(self.model_id		,    min_duration=0			).eval()
  
  				lowerCAmelCase_     :							Tuple             =    self.prepare_inputs()
  				set_seed(0			)
  				lowerCAmelCase_     :							Optional[Any]             =    [torch.zeros(1		,    0		,    dtype=torch.long			) for _ in range(3			)]
  
  				lowerCAmelCase_     :							List[str]             =    model.priors[0]
  				lowerCAmelCase_     :							Optional[int]             =    0
  				lowerCAmelCase_     :							Any             =    top_prior.get_music_tokens_conds(lowercase_		,    start=lowercase_		,    end=start + top_prior.n_ctx			)
  				lowerCAmelCase_     :							str             =    top_prior.get_metadata(labels[0].clone()		,    lowercase_		,    1_05_83_04		,    0			)
  
  				self.assertIsNone(lowercase_			)
  				self.assertListEqual(metadata.numpy()[0][:10].tolist()		,    self.EXPECTED_Y_COND			)
  
  				lowerCAmelCase_     :							Dict             =    top_prior.get_cond(lowercase_		,    lowercase_			)
  				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[str]			):
  				lowerCAmelCase_     :							str             =    False
  
  				lowerCAmelCase_     :							Optional[Any]             =    JukeboxModel.from_pretrained(self.model_id		,    min_duration=0			).eval()
  				set_seed(0			)
  				lowerCAmelCase_     :							str             =    torch.rand((1, 51_20, 1)			)
  				lowerCAmelCase_     :							Union[str, Any]             =    list(self.prepare_inputs()			)
  
  				lowerCAmelCase_     :							int             =    [model.vqvae.encode(lowercase_		,    start_level=2		,    bs_chunks=waveform.shape[0]			)[0], None, None]
  				lowerCAmelCase_     :							Optional[Any]             =    model._sample(
  				    lowercase_		,    lowercase_		,    sample_levels=[0]		,    save_results=lowercase_		,    sample_length=40 * model.priors[0].raw_to_tokens			)
  				torch.testing.assert_allclose(zs[0][0][:40]		,    torch.tensor(self.EXPECTED_PRIMED_0			)			)
  
  				lowerCAmelCase_     :							List[Any]             =    torch.cat((zs[0], torch.zeros(1		,    20_48 - zs[0].shape[-1]			))		,    dim=-1			).long()
  				lowerCAmelCase_     :							Dict             =    [upper_a, model.vqvae.encode(lowercase_		,    start_level=1		,    bs_chunks=waveform.shape[0]			)[0], None]
  				lowerCAmelCase_     :							Optional[int]             =    model._sample(
  				    lowercase_		,    lowercase_		,    sample_levels=[1]		,    save_results=lowercase_		,    sample_length=40 * model.priors[1].raw_to_tokens			)
  				torch.testing.assert_allclose(zs[1][0][:40]		,    torch.tensor(self.EXPECTED_PRIMED_1			)			)
  
  				lowerCAmelCase_     :							Any             =    torch.cat((zs[1], torch.zeros(1		,    20_48 - zs[1].shape[-1]			))		,    dim=-1			).long()
  				lowerCAmelCase_     :							Optional[int]             =    [upper_a, upper_a, model.vqvae.encode(lowercase_		,    start_level=0		,    bs_chunks=waveform.shape[0]			)[0]]
  				lowerCAmelCase_     :							List[str]             =    model._sample(
  				    lowercase_		,    lowercase_		,    sample_levels=[2]		,    save_results=lowercase_		,    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							:			str			):
  				lowerCAmelCase_     :							str             =    JukeboxModel.from_pretrained(self.model_id		,    min_duration=0			).eval()
  				set_seed(0			)
  				lowerCAmelCase_     :							str             =    torch.rand((1, 51_20, 1)			)
  				with torch.no_grad():
  						lowerCAmelCase_     :							Dict             =    model.vqvae.encode(lowercase_		,    start_level=2		,    bs_chunks=x.shape[0]			)
  				torch.testing.assert_allclose(zs[0][0]		,    torch.tensor(self.EXPECTED_VQVAE_ENCODE			)			)
  
  				with torch.no_grad():
  						lowerCAmelCase_     :							Dict             =    model.vqvae.decode(lowercase_		,    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'''
  
  
  
  
  
  
  		a_			:       Dict      =							(JukeboxModel,) if is_torch_available() else ()
  		a_			:       str      =							"""openai/jukebox-5b-lyrics"""
  		a_			:       List[str]      =							{
  		    """artist""": """Zac Brown Band""",
  		    """genres""": """Country""",
  		    """lyrics""": """I met a traveller from an antique land,
      Who said \"Two vast and trunkless legs of stone
      Stand in the desert. . . . Near them, on the sand,
      Half sunk a shattered visage lies, whose frown,
      And wrinkled lip, and sneer of cold command,
      Tell that its sculptor well those passions read
      Which yet survive, stamped on these lifeless things,
      The hand that mocked them, and the heart that fed;
      And on the pedestal, these words appear:
      My name is Ozymandias, King of Kings;
      Look on my Works, ye Mighty, and despair!
      Nothing beside remains. Round the decay
      Of that colossal Wreck, boundless and bare
      The lone and level sands stretch far away
      """,
  		}
  
  		# fmt: off
  		a_			:       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,
  		    1489, 1489, 1489, 1489, 1150, 1853, 1509, 1150, 1357, 1509, 6, 1272
  		]
  		a_			:       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
  		]
  
  		a_			:       Optional[Any]      =							[
  		    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
  		]
  		a_			:       Dict      =							[
  		    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
  		]
  
  		a_			:       Union[str, 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
  		]
  		a_			:       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
  		]
  
  		a_			:       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,
  		    653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653
  		]
  		a_			:       Optional[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
  		]
  
  		a_			:       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
  		]
  		a_			:       Tuple      =							[
  		    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							:			Dict		,    a_							:			List[Any]			):
  				lowerCAmelCase_     :							Optional[Any]             =    JukeboxTokenizer.from_pretrained(lowercase_			)
  				lowerCAmelCase_     :							Union[str, Any]             =    tokenizer(**self.metas			)['''input_ids''']
  				return tokens
  
  
  
  
  
  		@slow
  		def      lowerCamelCase (     self							:			Optional[Any]			):
  				lowerCAmelCase_     :							List[str]             =    JukeboxModel.from_pretrained(self.model_id		,    min_duration=0			).eval()
  				lowerCAmelCase_     :							List[str]             =    self.prepare_inputs(self.model_id			)
  
  				set_seed(0			)
  				lowerCAmelCase_     :							Optional[Any]             =    [torch.zeros(1		,    0		,    dtype=torch.long			).cpu() for _ in range(3			)]
  				lowerCAmelCase_     :							str             =    model._sample(lowercase_		,    lowercase_		,    [0]		,    sample_length=60 * model.priors[0].raw_to_tokens		,    save_results=lowercase_			)
  				self.assertIn(zs[0][0].detach().cpu().tolist()		,    [self.EXPECTED_OUTPUT_2, self.EXPECTED_OUTPUT_2_PT_2]			)
  
  				set_seed(0			)
  				lowerCAmelCase_     :							Dict             =    model._sample(lowercase_		,    lowercase_		,    [1]		,    sample_length=60 * model.priors[1].raw_to_tokens		,    save_results=lowercase_			)
  				self.assertIn(zs[1][0].detach().cpu().tolist()		,    [self.EXPECTED_OUTPUT_1, self.EXPECTED_OUTPUT_1_PT_2]			)
  
  				set_seed(0			)
  				lowerCAmelCase_     :							int             =    model._sample(lowercase_		,    lowercase_		,    [2]		,    sample_length=60 * model.priors[2].raw_to_tokens		,    save_results=lowercase_			)
  				self.assertIn(zs[2][0].detach().cpu().tolist()		,    [self.EXPECTED_OUTPUT_0, self.EXPECTED_OUTPUT_0_PT_2]			)
  
  
  
  
  
  		@slow
  		@skip("Not enough GPU memory on CI runners"			)
  		def      lowerCamelCase (     self							:			int			):
  				lowerCAmelCase_     :							Tuple             =    JukeboxModel.from_pretrained(self.model_id		,    min_duration=0			).eval()
  				lowerCAmelCase_     :							Union[str, Any]             =    [i.cuda() for i in self.prepare_inputs(self.model_id			)]
  
  				set_seed(0			)
  				model.priors[0].cuda()
  				lowerCAmelCase_     :							List[Any]             =    [torch.zeros(1		,    0		,    dtype=torch.long			).cuda() for _ in range(3			)]
  				lowerCAmelCase_     :							str             =    model._sample(lowercase_		,    lowercase_		,    [0]		,    sample_length=60 * model.priors[0].raw_to_tokens		,    save_results=lowercase_			)
  				torch.testing.assert_allclose(zs[0][0].cpu()		,    torch.tensor(self.EXPECTED_GPU_OUTPUTS_2			)			)
  				model.priors[0].cpu()
  
  				set_seed(0			)
  				model.priors[1].cuda()
  				lowerCAmelCase_     :							Tuple             =    model._sample(lowercase_		,    lowercase_		,    [1]		,    sample_length=60 * model.priors[1].raw_to_tokens		,    save_results=lowercase_			)
  				torch.testing.assert_allclose(zs[1][0].cpu()		,    torch.tensor(self.EXPECTED_GPU_OUTPUTS_1			)			)
  				model.priors[1].cpu()
  
  				set_seed(0			)
  				model.priors[2].cuda()
  				lowerCAmelCase_     :							List[str]             =    model._sample(lowercase_		,    lowercase_		,    [2]		,    sample_length=60 * model.priors[2].raw_to_tokens		,    save_results=lowercase_			)
  				torch.testing.assert_allclose(zs[2][0].cpu()		,    torch.tensor(self.EXPECTED_GPU_OUTPUTS_0			)			)
  
  
  
  
  
  		@slow
  		def      lowerCamelCase (     self							:			Union[str, Any]			):
  				lowerCAmelCase_     :							Any             =    '''ArthurZ/jukebox_prior_0'''
  				lowerCAmelCase_     :							str             =    JukeboxPrior.from_pretrained(lowercase_		,    min_duration=0			).eval().half().to("cuda"			)
  
  				lowerCAmelCase_     :							Union[str, Any]             =    self.prepare_inputs(lowercase_			)[0].cuda()
  				lowerCAmelCase_     :							int             =    model.get_metadata(lowercase_		,    0		,    76_80		,    0			)
  				set_seed(0			)
  				lowerCAmelCase_     :							List[str]             =    model.sample(1		,    metadata=lowercase_		,    sample_tokens=60			)
  				self.assertIn(outputs[0].cpu().tolist()		,    [self.EXPECTED_GPU_OUTPUTS_2, self.EXPECTED_GPU_OUTPUTS_2_PT_2]			)
  
  
  
  
  
  
  
style_context: 
  
  
  
  
  
  
  """simple docstring"""
  
  import os
  import unittest
  
  from transformers import RealmTokenizerFast
  from transformers.models.bert.tokenization_bert import (
      VOCAB_FILES_NAMES,
      BasicTokenizer,
      WordpieceTokenizer,
      _is_control,
      _is_punctuation,
      _is_whitespace,
  )
  from transformers.models.realm.tokenization_realm import RealmTokenizer
  from transformers.testing_utils import require_tokenizers, slow
  
  from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english
  
  
  @require_tokenizers
  class 	__lowerCamelCase       (				A__				,							unittest.TestCase    ):
  
  
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  		a_			:       List[str]      =							RealmTokenizer
  		a_			:       int      =							RealmTokenizerFast
  		a_			:       str      =							True
  		a_			:       Tuple      =							True
  		a_			:       List[Any]      =							filter_non_english
  
  
  
  
  
  		def      lowerCamelCase (     self							:			int			):
  				super().setUp()
  
  				lowerCAmelCase_     :							int             =    [
  				    "[UNK]",
  				    "[CLS]",
  				    "[SEP]",
  				    "[PAD]",
  				    "[MASK]",
  				    "want",
  				    "##want",
  				    "##ed",
  				    "wa",
  				    "un",
  				    "runn",
  				    "##ing",
  				    ",",
  				    "low",
  				    "lowest",
  				]
  				lowerCAmelCase_     :							List[Any]             =    os.path.join(self.tmpdirname		,    VOCAB_FILES_NAMES["vocab_file"]			)
  				with open(self.vocab_file		,    "w"		,    encoding="utf-8"			) as vocab_writer:
  						vocab_writer.write("".join([x + "\n" for x in vocab_tokens]			)			)
  
  
  
  
  
  		def      lowerCamelCase (     self							:			Optional[int]		,    a_							:			Any			):
  				lowerCAmelCase_     :							int             =    "UNwant\u00E9d,running"
  				lowerCAmelCase_     :							Optional[Any]             =    "unwanted, running"
  				return input_text, output_text
  
  
  
  
  
  		def      lowerCamelCase (     self							:			int			):
  				lowerCAmelCase_     :							Tuple             =    self.tokenizer_class(self.vocab_file			)
  
  				lowerCAmelCase_     :							List[str]             =    tokenizer.tokenize("UNwant\u00E9d,running"			)
  				self.assertListEqual(a_		,    ["un", "##want", "##ed", ",", "runn", "##ing"]			)
  				self.assertListEqual(tokenizer.convert_tokens_to_ids(a_			)		,    [9, 6, 7, 12, 10, 11]			)
  
  
  
  
  
  		def      lowerCamelCase (     self							:			Dict			):
  				if not self.test_rust_tokenizer:
  						return
  
  				lowerCAmelCase_     :							str             =    self.get_tokenizer()
  				lowerCAmelCase_     :							List[str]             =    self.get_rust_tokenizer()
  
  				lowerCAmelCase_     :							Optional[Any]             =    "UNwant\u00E9d,running"
  
  				lowerCAmelCase_     :							Optional[Any]             =    tokenizer.tokenize(a_			)
  				lowerCAmelCase_     :							List[Any]             =    rust_tokenizer.tokenize(a_			)
  				self.assertListEqual(a_		,    a_			)
  
  				lowerCAmelCase_     :							str             =    tokenizer.encode(a_		,    add_special_tokens=a_			)
  				lowerCAmelCase_     :							Dict             =    rust_tokenizer.encode(a_		,    add_special_tokens=a_			)
  				self.assertListEqual(a_		,    a_			)
  
  				lowerCAmelCase_     :							int             =    self.get_rust_tokenizer()
  				lowerCAmelCase_     :							Any             =    tokenizer.encode(a_			)
  				lowerCAmelCase_     :							Union[str, Any]             =    rust_tokenizer.encode(a_			)
  				self.assertListEqual(a_		,    a_			)
  
  				# With lower casing
  				lowerCAmelCase_     :							Dict             =    self.get_tokenizer(do_lower_case=a_			)
  				lowerCAmelCase_     :							List[str]             =    self.get_rust_tokenizer(do_lower_case=a_			)
  
  				lowerCAmelCase_     :							Dict             =    "UNwant\u00E9d,running"
  
  				lowerCAmelCase_     :							Union[str, Any]             =    tokenizer.tokenize(a_			)
  				lowerCAmelCase_     :							Union[str, Any]             =    rust_tokenizer.tokenize(a_			)
  				self.assertListEqual(a_		,    a_			)
  
  				lowerCAmelCase_     :							Optional[Any]             =    tokenizer.encode(a_		,    add_special_tokens=a_			)
  				lowerCAmelCase_     :							Dict             =    rust_tokenizer.encode(a_		,    add_special_tokens=a_			)
  				self.assertListEqual(a_		,    a_			)
  
  				lowerCAmelCase_     :							str             =    self.get_rust_tokenizer()
  				lowerCAmelCase_     :							str             =    tokenizer.encode(a_			)
  				lowerCAmelCase_     :							Optional[int]             =    rust_tokenizer.encode(a_			)
  				self.assertListEqual(a_		,    a_			)
  
  
  
  
  
  		def      lowerCamelCase (     self							:			Optional[int]			):
  				lowerCAmelCase_     :							Any             =    BasicTokenizer()
  
  				self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz"			)		,    ["ah", "\u535A", "\u63A8", "zz"]			)
  
  
  
  
  
  		def      lowerCamelCase (     self							:			Tuple			):
  				lowerCAmelCase_     :							Dict             =    BasicTokenizer(do_lower_case=a_			)
  
  				self.assertListEqual(
  				    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "			)		,    ["hello", "!", "how", "are", "you", "?"]			)
  				self.assertListEqual(tokenizer.tokenize("H\u00E9llo"			)		,    ["hello"]			)
  
  
  
  
  
  		def      lowerCamelCase (     self							:			Optional[Any]			):
  				lowerCAmelCase_     :							Optional[int]             =    BasicTokenizer(do_lower_case=a_		,    strip_accents=a_			)
  
  				self.assertListEqual(
  				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "			)		,    ["hällo", "!", "how", "are", "you", "?"]			)
  				self.assertListEqual(tokenizer.tokenize("H\u00E9llo"			)		,    ["h\u00E9llo"]			)
  
  
  
  
  
  		def      lowerCamelCase (     self							:			Tuple			):
  				lowerCAmelCase_     :							Dict             =    BasicTokenizer(do_lower_case=a_		,    strip_accents=a_			)
  
  				self.assertListEqual(
  				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "			)		,    ["hallo", "!", "how", "are", "you", "?"]			)
  				self.assertListEqual(tokenizer.tokenize("H\u00E9llo"			)		,    ["hello"]			)
  
  
  
  
  
  		def      lowerCamelCase (     self							:			str			):
  				lowerCAmelCase_     :							List[Any]             =    BasicTokenizer(do_lower_case=a_			)
  
  				self.assertListEqual(
  				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "			)		,    ["hallo", "!", "how", "are", "you", "?"]			)
  				self.assertListEqual(tokenizer.tokenize("H\u00E9llo"			)		,    ["hello"]			)
  
  
  
  
  
  		def      lowerCamelCase (     self							:			List[Any]			):
  				lowerCAmelCase_     :							Optional[Any]             =    BasicTokenizer(do_lower_case=a_			)
  
  				self.assertListEqual(
  				    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "			)		,    ["HeLLo", "!", "how", "Are", "yoU", "?"]			)
  
  
  
  
  
  		def      lowerCamelCase (     self							:			List[Any]			):
  				lowerCAmelCase_     :							List[Any]             =    BasicTokenizer(do_lower_case=a_		,    strip_accents=a_			)
  
  				self.assertListEqual(
  				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "			)		,    ["HäLLo", "!", "how", "Are", "yoU", "?"]			)
  
  
  
  
  
  		def      lowerCamelCase (     self							:			Dict			):
  				lowerCAmelCase_     :							List[str]             =    BasicTokenizer(do_lower_case=a_		,    strip_accents=a_			)
  
  				self.assertListEqual(
  				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "			)		,    ["HaLLo", "!", "how", "Are", "yoU", "?"]			)
  
  
  
  
  
  		def      lowerCamelCase (     self							:			List[str]			):
  				lowerCAmelCase_     :							Any             =    BasicTokenizer(do_lower_case=a_		,    never_split=["[UNK]"]			)
  
  				self.assertListEqual(
  				    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]"			)		,    ["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"]			)
  
  
  
  
  
  		def      lowerCamelCase (     self							:			Optional[Any]			):
  				lowerCAmelCase_     :							int             =    ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]
  
  				lowerCAmelCase_     :							Union[str, Any]             =    {}
  				for i, token in enumerate(a_			):
  						lowerCAmelCase_     :							Any             =    i
  				lowerCAmelCase_     :							int             =    WordpieceTokenizer(vocab=a_		,    unk_token="[UNK]"			)
  
  				self.assertListEqual(tokenizer.tokenize(""			)		,    []			)
  
  				self.assertListEqual(tokenizer.tokenize("unwanted running"			)		,    ["un", "##want", "##ed", "runn", "##ing"]			)
  
  				self.assertListEqual(tokenizer.tokenize("unwantedX running"			)		,    ["[UNK]", "runn", "##ing"]			)
  
  
  
  
  
  		def      lowerCamelCase (     self							:			Tuple			):
  				self.assertTrue(_is_whitespace(" "			)			)
  				self.assertTrue(_is_whitespace("\t"			)			)
  				self.assertTrue(_is_whitespace("\r"			)			)
  				self.assertTrue(_is_whitespace("\n"			)			)
  				self.assertTrue(_is_whitespace("\u00A0"			)			)
  
  				self.assertFalse(_is_whitespace("A"			)			)
  				self.assertFalse(_is_whitespace("-"			)			)
  
  
  
  
  
  		def      lowerCamelCase (     self							:			Optional[Any]			):
  				self.assertTrue(_is_control("\u0005"			)			)
  
  				self.assertFalse(_is_control("A"			)			)
  				self.assertFalse(_is_control(" "			)			)
  				self.assertFalse(_is_control("\t"			)			)
  				self.assertFalse(_is_control("\r"			)			)
  
  
  
  
  
  		def      lowerCamelCase (     self							:			str			):
  				self.assertTrue(_is_punctuation("-"			)			)
  				self.assertTrue(_is_punctuation("$"			)			)
  				self.assertTrue(_is_punctuation("`"			)			)
  				self.assertTrue(_is_punctuation("."			)			)
  
  				self.assertFalse(_is_punctuation("A"			)			)
  				self.assertFalse(_is_punctuation(" "			)			)
  
  
  
  
  
  		def      lowerCamelCase (     self							:			str			):
  				lowerCAmelCase_     :							Any             =    self.get_tokenizer()
  
  				# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
  				self.assertListEqual([tokenizer.tokenize(a_			) for t in ["Test", "\xad", "test"]]		,    [["[UNK]"], [], ["[UNK]"]]			)
  
  				if self.test_rust_tokenizer:
  						lowerCAmelCase_     :							str             =    self.get_rust_tokenizer()
  						self.assertListEqual(
  						    [rust_tokenizer.tokenize(a_			) for t in ["Test", "\xad", "test"]]		,    [["[UNK]"], [], ["[UNK]"]]			)
  
  
  
  
  
  		@slow
  		def      lowerCamelCase (     self							:			int			):
  				lowerCAmelCase_     :							int             =    self.tokenizer_class.from_pretrained("bert-base-uncased"			)
  
  				lowerCAmelCase_     :							List[Any]             =    tokenizer.encode("sequence builders"		,    add_special_tokens=a_			)
  				lowerCAmelCase_     :							Optional[int]             =    tokenizer.encode("multi-sequence build"		,    add_special_tokens=a_			)
  
  				lowerCAmelCase_     :							Dict             =    tokenizer.build_inputs_with_special_tokens(a_			)
  				lowerCAmelCase_     :							Tuple             =    tokenizer.build_inputs_with_special_tokens(a_		,    a_			)
  
  				assert encoded_sentence == [1_01] + text + [1_02]
  				assert encoded_pair == [1_01] + text + [1_02] + text_a + [1_02]
  
  
  
  
  
  		def      lowerCamelCase (     self							:			Optional[int]			):
  				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
  						with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''			):
  								lowerCAmelCase_     :							Tuple             =    self.rust_tokenizer_class.from_pretrained(a_		,    **a_			)
  
  								lowerCAmelCase_     :							Tuple             =    f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
  								lowerCAmelCase_     :							List[str]             =    tokenizer_r.encode_plus(
  								    a_		,    return_attention_mask=a_		,    return_token_type_ids=a_		,    return_offsets_mapping=a_		,    add_special_tokens=a_		,    )
  
  								lowerCAmelCase_     :							List[str]             =    tokenizer_r.do_lower_case if hasattr(a_		,    "do_lower_case"			) else False
  								lowerCAmelCase_     :							int             =    (
  								    [
  								        ((0, 0), tokenizer_r.cls_token),
  								        ((0, 1), "A"),
  								        ((1, 2), ","),
  								        ((3, 5), "na"),
  								        ((5, 6), "##ï"),
  								        ((6, 8), "##ve"),
  								        ((9, 15), tokenizer_r.mask_token),
  								        ((16, 21), "Allen"),
  								        ((21, 23), "##NL"),
  								        ((23, 24), "##P"),
  								        ((25, 33), "sentence"),
  								        ((33, 34), "."),
  								        ((0, 0), tokenizer_r.sep_token),
  								    ]
  								    if not do_lower_case
  								    else [
  								        ((0, 0), tokenizer_r.cls_token),
  								        ((0, 1), "a"),
  								        ((1, 2), ","),
  								        ((3, 8), "naive"),
  								        ((9, 15), tokenizer_r.mask_token),
  								        ((16, 21), "allen"),
  								        ((21, 23), "##nl"),
  								        ((23, 24), "##p"),
  								        ((25, 33), "sentence"),
  								        ((33, 34), "."),
  								        ((0, 0), tokenizer_r.sep_token),
  								    ]
  								)
  
  								self.assertEqual(
  								    [e[1] for e in expected_results]		,    tokenizer_r.convert_ids_to_tokens(tokens["input_ids"]			)			)
  								self.assertEqual([e[0] for e in expected_results]		,    tokens["offset_mapping"]			)
  
  
  
  
  
  		@slow
  		def      lowerCamelCase (     self							:			int			):
  				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
  						with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''			):
  								lowerCAmelCase_     :							Tuple             =    self.rust_tokenizer_class.from_pretrained(a_		,    **a_			)
  								lowerCAmelCase_     :							Tuple             =    self.tokenizer_class.from_pretrained(a_		,    **a_			)
  								lowerCAmelCase_     :							Dict             =    [["Hello world!", "Nice to meet you!"], ["The cute cat.", "The adorable dog."]]
  
  								lowerCAmelCase_     :							Optional[Any]             =    tokenizer_r.batch_encode_candidates(a_		,    max_length=10		,    return_tensors="np"			)
  								lowerCAmelCase_     :							int             =    tokenizer_p.batch_encode_candidates(a_		,    max_length=10		,    return_tensors="np"			)
  
  								lowerCAmelCase_     :							Dict             =    (2, 2, 10)
  
  								self.assertEqual(encoded_sentence_r["input_ids"].shape		,    a_			)
  								self.assertEqual(encoded_sentence_r["attention_mask"].shape		,    a_			)
  								self.assertEqual(encoded_sentence_r["token_type_ids"].shape		,    a_			)
  
  								self.assertEqual(encoded_sentence_p["input_ids"].shape		,    a_			)
  								self.assertEqual(encoded_sentence_p["attention_mask"].shape		,    a_			)
  								self.assertEqual(encoded_sentence_p["token_type_ids"].shape		,    a_			)
  