






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 							__snake_case(       unittest.TestCase   ):
 lowercase			:							str		   =		(JukeboxModel,) if is_torch_available() else ()
 lowercase			:							Union[str, Any]		   =		'''openai/jukebox-1b-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			:							Union[str, Any]		   =		[
     18_64, 15_36, 12_13, 18_70, 13_57, 15_36, 5_19, 8_80, 13_23, 7_89, 10_82, 5_34,
     10_00, 14_45, 11_05, 11_30, 9_67, 5_15, 14_34, 16_20, 5_34, 14_95, 2_83, 14_45,
     3_33, 13_07, 5_39, 16_31, 15_28, 3_75, 14_34, 6_73, 6_27, 7_10, 7_78, 18_83,
     14_05, 12_76, 14_55, 12_28
 ]

 lowercase			:							str		   =		[
     14_89, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53,
     6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53,
     6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53,
     6_53, 6_53, 6_53, 6_53
 ]

 lowercase			:							Tuple		   =		[
     11_25, 17_51, 6_97, 17_76, 11_41, 14_76, 3_91, 6_97, 11_25, 6_84, 8_67, 4_16,
     8_44, 13_72, 12_74, 7_17, 12_74, 8_44, 12_99, 14_19, 6_97, 13_70, 3_17, 11_25,
     1_91, 14_40, 13_70, 14_40, 13_70, 2_82, 16_21, 13_70, 3_68, 3_49, 8_67, 18_72,
     12_62, 8_69, 17_28, 7_47
 ]
 lowercase			:							Union[str, Any]		   =		[
     4_16, 4_16, 11_25, 11_25, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16,
     4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16,
     4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16,
     4_16, 4_16, 4_16, 4_16
 ]

 lowercase			:							Optional[Any]		   =		[
     17_55, 8_42, 3_07, 18_43, 10_22, 13_95, 2_34, 15_54, 8_06, 7_39, 10_22, 4_42,
     6_16, 5_56, 2_68, 14_99, 9_33, 4_57, 14_40, 18_37, 7_55, 9_85, 3_08, 9_02,
     2_93, 14_43, 16_71, 11_41, 15_33, 5_55, 15_62, 10_61, 2_87, 4_17, 10_22, 20_08,
     11_86, 10_15, 17_77, 2_68
 ]
 lowercase			:							Any		   =		[
     8_54, 8_42, 13_53, 1_14, 13_53, 8_42, 1_85, 8_42, 1_85, 1_14, 5_91, 8_42,
     1_85, 4_17, 1_85, 8_42, 3_07, 8_42, 5_91, 8_42, 1_85, 8_42, 3_07, 8_42,
     5_91, 8_42, 13_53, 8_42, 1_85, 8_42, 5_91, 8_42, 5_91, 1_14, 5_91, 8_42,
     1_85, 8_42, 5_91, 89
 ]

 lowercase			:							Optional[Any]		   =		[1_05_83_04, 0, 78_64_32, 71_69, 5_07, 76, 27, 40, 30, 76]

 lowercase			:							Optional[int]		   =		[
     3_90, 11_60, 10_02, 19_07, 17_88, 17_88, 17_88, 19_07, 10_02, 10_02, 18_54, 10_02,
     10_02, 10_02, 10_02, 10_02, 10_02, 11_60, 11_60, 16_06, 5_96, 5_96, 11_60, 10_02,
     15_16, 5_96, 10_02, 10_02, 10_02, 19_07, 17_88, 17_88, 17_88, 18_54, 17_88, 19_07,
     19_07, 17_88, 5_96, 16_26
 ]
 lowercase			:							Optional[int]		   =		[
     12_36, 16_68, 14_84, 19_20, 18_48, 14_09, 1_39, 8_64, 18_28, 12_72, 15_99, 8_24,
     16_72, 1_39, 5_55, 14_84, 8_24, 19_20, 5_55, 5_96, 15_79, 15_99, 12_31, 15_99,
     16_37, 14_07, 2_12, 8_24, 15_99, 1_16, 14_33, 8_24, 2_58, 15_99, 14_33, 18_95,
     10_63, 14_33, 14_33, 15_99
 ]
 lowercase			:							Optional[Any]		   =		[
     16_84, 18_73, 11_19, 11_89, 3_95, 6_11, 19_01, 9_72, 8_90, 13_37, 13_92, 19_27,
     96, 9_72, 6_72, 7_80, 11_19, 8_90, 1_58, 7_71, 10_73, 19_27, 3_53, 13_31,
     12_69, 14_59, 13_33, 16_45, 8_12, 15_77, 13_37, 6_06, 3_53, 9_81, 14_66, 6_19,
     1_97, 3_91, 3_02, 19_30
 ]
 lowercase			:							List[Any]		   =		[
     3_90, 11_60, 10_02, 19_07, 17_88, 17_88, 17_88, 19_07, 10_02, 10_02, 18_54, 10_02,
     10_02, 10_02, 10_02, 10_02, 10_02, 11_60, 11_60, 16_06, 5_96, 5_96, 11_60, 10_02,
     15_16, 5_96, 10_02, 10_02, 10_02, 19_07, 17_88, 17_88, 17_88, 18_54, 17_88, 19_07,
     19_07, 17_88, 5_96, 16_26
 ]
 lowercase			:							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
 ]
 lowercase			:							Dict		   =		[
     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			:							Dict		   =		[
     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			:							Union[str, 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 : int						):

    """simple docstring"""






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



 @slow
 def     UpperCAmelCase     (						self : Dict						):

    """simple docstring"""






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

    set_seed(0						)
    lowercase__    :						Optional[int]       =			[torch.zeros(1			,		0			,		dtype=torch.long						).cpu() for _ in range(3						)]
    lowercase__    :						Union[str, Any]       =			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						)
    lowercase__    :						str       =			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						)
    lowercase__    :						Optional[int]       =			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 : Any						):

    """simple docstring"""






    lowercase__    :						Optional[Any]       =			False
    lowercase__    :						Union[str, Any]       =			JukeboxModel.from_pretrained(self.model_id			,		min_duration=0						).eval()

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

    lowercase__    :						Optional[Any]       =			model.priors[0]
    lowercase__    :						str       =			0
    lowercase__    :						Tuple       =			top_prior.get_music_tokens_conds(UpperCAmelCase__			,		start=UpperCAmelCase__			,		end=start + top_prior.n_ctx						)
    lowercase__    :						List[str]       =			top_prior.get_metadata(labels[0].clone()			,		UpperCAmelCase__			,		1_058_304			,		0						)

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

    lowercase__  ,       lowercase__  ,       lowercase__    :						Optional[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 : Tuple						):

    """simple docstring"""






    lowercase__    :						Tuple       =			False

    lowercase__    :						Optional[int]       =			JukeboxModel.from_pretrained(self.model_id			,		min_duration=0						).eval()
    set_seed(0						)
    lowercase__    :						Dict       =			torch.rand((1, 5_120, 1)						)
    lowercase__    :						Union[str, Any]       =			list(self.prepare_inputs()						)

    lowercase__    :						List[str]       =			[model.vqvae.encode(UpperCAmelCase__			,		start_level=2			,		bs_chunks=waveform.shape[0]						)[0], None, None]
    lowercase__    :						Optional[Any]       =			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						)						)

    lowercase__    :						Union[str, Any]       =			torch.cat((zs[0], torch.zeros(1			,		2_048 - zs[0].shape[-1]						))			,		dim=-1						).long()
    lowercase__    :						Any       =			[upper_a, model.vqvae.encode(UpperCAmelCase__			,		start_level=1			,		bs_chunks=waveform.shape[0]						)[0], None]
    lowercase__    :						Union[str, Any]       =			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						)						)

    lowercase__    :						List[Any]       =			torch.cat((zs[1], torch.zeros(1			,		2_048 - zs[1].shape[-1]						))			,		dim=-1						).long()
    lowercase__    :						str       =			[upper_a, upper_a, model.vqvae.encode(UpperCAmelCase__			,		start_level=0			,		bs_chunks=waveform.shape[0]						)[0]]
    lowercase__    :						Union[str, 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 : Optional[Any]						):

    """simple docstring"""






    lowercase__    :						Union[str, Any]       =			JukeboxModel.from_pretrained(self.model_id			,		min_duration=0						).eval()
    set_seed(0						)
    lowercase__    :						str       =			torch.rand((1, 5_120, 1)						)
    with torch.no_grad():
       lowercase__    :						int       =			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():
       lowercase__    :						Dict       =			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 							__snake_case(       unittest.TestCase   ):
 lowercase			:							int		   =		(JukeboxModel,) if is_torch_available() else ()
 lowercase			:							List[Any]		   =		'''openai/jukebox-5b-lyrics'''
 lowercase			:							List[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			:							Any		   =		[
     14_89, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53,
     6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53,
     6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53,
     6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53,
     14_89, 14_89, 14_89, 14_89, 11_50, 18_53, 15_09, 11_50, 13_57, 15_09, 6, 12_72
 ]
 lowercase			:							Optional[Any]		   =		[
     14_89, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53,
     6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53,
     6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53,
     6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53,
     6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53
 ]

 lowercase			:							Any		   =		[
     11_25, 4_16, 11_25, 11_25, 11_25, 11_25, 11_25, 4_16, 4_16, 4_16, 4_16, 4_16,
     4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16,
     4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16,
     4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16,
     4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16
 ]
 lowercase			:							str		   =		[
     4_16, 4_16, 11_25, 11_25, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16,
     4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16,
     4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16,
     4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16,
     4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16
 ]

 lowercase			:							Tuple		   =		[
     17_55, 10_61, 2_34, 17_55, 10_61, 17_55, 1_85, 2_90, 3_07, 3_07, 6_16, 6_16,
     6_16, 6_16, 6_16, 6_16, 3_07, 2_90, 4_17, 17_55, 2_34, 17_55, 1_85, 2_90,
     2_90, 2_90, 3_07, 6_16, 6_16, 6_16, 6_16, 6_16, 2_90, 2_34, 2_34, 17_55,
     2_34, 2_34, 17_55, 2_34, 1_85, 1_85, 3_07, 6_16, 6_16, 6_16, 6_16, 2_90,
     17_55, 17_55, 17_55, 2_34, 2_34, 17_55, 15_72, 2_90, 3_07, 6_16, 34, 6_16
 ]
 lowercase			:							List[Any]		   =		[
     8_54, 8_42, 13_53, 1_14, 13_53, 8_42, 1_85, 8_42, 1_85, 1_14, 5_91, 8_42, 1_85,
     4_17, 1_85, 8_42, 3_07, 8_42, 5_91, 8_42, 1_85, 8_42, 1_85, 8_42, 5_91, 8_42,
     13_53, 8_42, 1_85, 8_42, 5_91, 8_42, 5_91, 1_14, 5_91, 8_42, 1_85, 8_42, 5_91,
     89, 5_91, 8_42, 5_91, 8_42, 5_91, 4_17, 13_72, 8_42, 13_72, 8_42, 34, 8_42,
     1_85, 89, 5_91, 8_42, 1_85, 8_42, 5_91, 6_32
 ]

 lowercase			:							Any		   =		[
     14_89, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53,
     6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53,
     6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53,
     6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53,
     6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53
 ]
 lowercase			:							Any		   =		[
     14_89, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53,
     6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53,
     6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 6_53, 18_53, 11_77, 15_36, 12_28,
     7_10, 4_75, 14_89, 12_29, 12_24, 2_31, 12_24, 2_52, 14_34, 6_53, 4_75,
     11_06, 18_77, 15_99, 12_28, 16_00, 16_83, 11_82, 18_53, 4_75, 18_64,
     2_52, 12_29, 14_34, 20_01
 ]

 lowercase			:							List[str]		   =		[
     11_25, 11_25, 4_16, 11_25, 11_25, 4_16, 11_25, 11_25, 4_16, 4_16, 11_25, 4_16,
     4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16,
     4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16,
     4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16,
     4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16, 4_16
 ]
 lowercase			:							str		   =		[
     4_91, 17_55, 34, 16_13, 17_55, 4_17, 9_92, 16_13, 2_22, 8_42, 13_53, 16_13,
     8_44, 6_32, 1_85, 16_13, 8_44, 6_32, 1_85, 16_13, 1_85, 8_42, 6_77, 16_13,
     1_85, 1_14, 13_53, 16_13, 3_07, 89, 8_44, 16_13, 3_07, 13_32, 2_34, 19_79,
     3_07, 89, 13_53, 6_16, 34, 8_42, 1_85, 8_42, 34, 8_42, 1_85, 8_42,
     3_07, 1_14, 1_85, 89, 34, 12_68, 1_85, 89, 34, 8_42, 1_85, 89
 ]



 def     UpperCAmelCase     (						self : Tuple			,		UpperCAmelCase__ : Dict						):

    """simple docstring"""






    lowercase__    :						str       =			JukeboxTokenizer.from_pretrained(UpperCAmelCase__						)
    lowercase__    :						str       =			tokenizer(**self.metas						)["""input_ids"""]
    return tokens



 @slow
 def     UpperCAmelCase     (						self : str						):

    """simple docstring"""






    lowercase__    :						Union[str, Any]       =			JukeboxModel.from_pretrained(self.model_id			,		min_duration=0						).eval()
    lowercase__    :						Dict       =			self.prepare_inputs(self.model_id						)

    set_seed(0						)
    lowercase__    :						Any       =			[torch.zeros(1			,		0			,		dtype=torch.long						).cpu() for _ in range(3						)]
    lowercase__    :						Optional[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						)
    lowercase__    :						Tuple       =			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						)
    lowercase__    :						List[str]       =			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"""






    lowercase__    :						Union[str, Any]       =			JukeboxModel.from_pretrained(self.model_id			,		min_duration=0						).eval()
    lowercase__    :						Dict       =			[i.cuda() for i in self.prepare_inputs(self.model_id						)]

    set_seed(0						)
    model.priors[0].cuda()
    lowercase__    :						Any       =			[torch.zeros(1			,		0			,		dtype=torch.long						).cuda() for _ in range(3						)]
    lowercase__    :						Union[str, 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()
    lowercase__    :						Tuple       =			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()
    lowercase__    :						Optional[Any]       =			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 : str						):

    """simple docstring"""






    lowercase__    :						int       =			"""ArthurZ/jukebox_prior_0"""
    lowercase__    :						List[Any]       =			JukeboxPrior.from_pretrained(UpperCAmelCase__			,		min_duration=0						).eval().half().to("""cuda"""						)

    lowercase__    :						Dict       =			self.prepare_inputs(UpperCAmelCase__						)[0].cuda()
    lowercase__    :						str       =			model.get_metadata(UpperCAmelCase__			,		0			,		7_680			,		0						)
    set_seed(0						)
    lowercase__    :						Union[str, 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]						)










from datetime import date

import requests

a 			=							'https://api.carbonintensity.org.uk/intensity'
def    a__    (	):
   lowercase__    :						Union[str, Any]       =			requests.get(A       ).json()["""data"""][0]
   return last_half_hour["intensity"]["actual"]
def    a__    (	A		,					A       ):
   return requests.get(F'''{BASE_URL}/{start}/{end}'''       ).json()["data"]


if __name__ == "__main__":
 for entry in fetch_from_to(start=date(2020, 10, 1), end=date(2020, 10, 3)):
  print('from {from} to {to}: {intensity[actual]}'.format(**entry))
 print(F'{fetch_last_half_hour() = }')


