


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     		=   (JukeboxModel,) if is_torch_available() else ()
       _UpperCamelCase     		=   """openai/jukebox-1b-lyrics"""
       _UpperCamelCase     		=   {
           """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
       _UpperCamelCase     		=   [
           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     		=   [
           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     		=   [
           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     		=   [
           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     		=   [
           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     		=   [
           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     		=   [105_8304, 0, 78_6432, 7169, 507, 76, 27, 40, 30, 76]

       _UpperCamelCase     		=   [
           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     		=   [
           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     		=   [
           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     		=   [
           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     		=   [
           -0.0_492, -0.0_524, -0.0_565, -0.0_640, -0.0_686, -0.0_684, -0.0_677, -0.0_664,
           -0.0_605, -0.0_490, -0.0_330, -0.0_168, -0.0_083, -0.0_075, -0.0_051, 0.0_025,
           0.0_136, 0.0_261, 0.0_386, 0.0_497, 0.0_580, 0.0_599, 0.0_583, 0.0_614,
           0.0_740, 0.0_889, 0.1_023, 0.1_162, 0.1_211, 0.1_212, 0.1_251, 0.1_336,
           0.1_502, 0.1_686, 0.1_883, 0.2_148, 0.2_363, 0.2_458, 0.2_507, 0.2_531
       ]
       _UpperCamelCase     		=   [
           0.0_256, -0.0_544, 0.1_600, -0.0_032, 0.1_066, 0.0_825, -0.0_013, 0.3_440,
           0.0_210, 0.0_412, -0.1_777, -0.0_892, -0.0_164, 0.0_285, -0.0_613, -0.0_617,
           -0.0_137, -0.0_201, -0.0_175, 0.0_215, -0.0_627, 0.0_520, -0.0_730, 0.0_970,
           -0.0_100, 0.0_442, -0.0_586, 0.0_207, -0.0_015, -0.0_082
       ]
       _UpperCamelCase     		=   [
           0.0_415, 0.0_877, 0.0_022, -0.0_055, 0.0_751, 0.0_334, 0.0_324, -0.0_068,
           0.0_011, 0.0_017, -0.0_676, 0.0_655, -0.0_143, 0.0_399, 0.0_303, 0.0_743,
           -0.0_168, -0.0_394, -0.1_113, 0.0_124, 0.0_442, 0.0_267, -0.0_003, -0.1_536,
           -0.0_116, -0.1_837, -0.0_180, -0.1_026, -0.0_777, -0.0_456
       ]
       _UpperCamelCase     		=   [
           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       ):






        '''simple docstring'''






        snake_case :			Dict							=   JukeboxTokenizer.from_pretrained(self.model_id       )
        snake_case :			str							=   tokenizer(**self.metas       )['''input_ids''']
        return tokens

       @slow
       def 					UpperCAmelCase					(      self       ):






        '''simple docstring'''






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

        set_seed(0       )
        snake_case :			Optional[int]							=   [torch.zeros(1						,    0						,    dtype=torch.long       ).cpu() for _ in range(3       )]
        snake_case :			Optional[Any]							=   model._sample(a__						,    a__						,    [0]						,    sample_length=40 * model.priors[0].raw_to_tokens						,    save_results=a__       )
        self.assertIn(zs[0][0].detach().cpu().tolist()						,    [self.EXPECTED_OUTPUT_2, self.EXPECTED_OUTPUT_2_PT_2]       )

        set_seed(0       )
        snake_case :			Optional[Any]							=   model._sample(a__						,    a__						,    [1]						,    sample_length=40 * model.priors[1].raw_to_tokens						,    save_results=a__       )
        self.assertIn(zs[1][0].detach().cpu().tolist()						,    [self.EXPECTED_OUTPUT_1, self.EXPECTED_OUTPUT_1_PT_2]       )

        set_seed(0       )
        snake_case :			List[Any]							=   model._sample(a__						,    a__						,    [2]						,    sample_length=40 * model.priors[2].raw_to_tokens						,    save_results=a__       )
        self.assertIn(zs[2][0].detach().cpu().tolist()						,    [self.EXPECTED_OUTPUT_0, self.EXPECTED_OUTPUT_0_PT_2]       )

       @slow
       def 					UpperCAmelCase					(      self       ):






        '''simple docstring'''






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

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

        snake_case :			Union[str, Any]							=   model.priors[0]
        snake_case :			List[Any]							=   0
        snake_case :			Optional[int]							=   top_prior.get_music_tokens_conds(a__						,    start=a__						,    end=start + top_prior.n_ctx       )
        snake_case :			Tuple							=   top_prior.get_metadata(labels[0].clone()						,    a__						,    1_05_83_04						,    0       )

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

        snake_case	,       snake_case	,       snake_case :			List[str]							=   top_prior.get_cond(a__						,    a__       )
        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       ):






        '''simple docstring'''






        snake_case :			str							=   False

        snake_case :			Any							=   JukeboxModel.from_pretrained(self.model_id						,    min_duration=0       ).eval()
        set_seed(0       )
        snake_case :			Optional[int]							=   torch.rand((1, 51_20, 1)       )
        snake_case :			int							=   list(self.prepare_inputs()       )

        snake_case :			Dict							=   [model.vqvae.encode(a__						,    start_level=2						,    bs_chunks=waveform.shape[0]       )[0], None, None]
        snake_case :			Tuple							=   model._sample(
            a__						,    a__						,    sample_levels=[0]						,    save_results=a__						,    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 :			Dict							=   torch.cat((zs[0], torch.zeros(1						,    20_48 - zs[0].shape[-1]       ))						,    dim=-1       ).long()
        snake_case :			str							=   [upper_a, model.vqvae.encode(a__						,    start_level=1						,    bs_chunks=waveform.shape[0]       )[0], None]
        snake_case :			Dict							=   model._sample(
            a__						,    a__						,    sample_levels=[1]						,    save_results=a__						,    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 :			List[Any]							=   torch.cat((zs[1], torch.zeros(1						,    20_48 - zs[1].shape[-1]       ))						,    dim=-1       ).long()
        snake_case :			int							=   [upper_a, upper_a, model.vqvae.encode(a__						,    start_level=0						,    bs_chunks=waveform.shape[0]       )[0]]
        snake_case :			Any							=   model._sample(
            a__						,    a__						,    sample_levels=[2]						,    save_results=a__						,    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       ):






        '''simple docstring'''






        snake_case :			Optional[Any]							=   JukeboxModel.from_pretrained(self.model_id						,    min_duration=0       ).eval()
        set_seed(0       )
        snake_case :			int							=   torch.rand((1, 51_20, 1)       )
        with torch.no_grad():
         snake_case :			List[Any]							=   model.vqvae.encode(a__						,    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 :			Dict							=   model.vqvae.decode(a__						,    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     		=   (JukeboxModel,) if is_torch_available() else ()
       _UpperCamelCase     		=   """openai/jukebox-5b-lyrics"""
       _UpperCamelCase     		=   {
           """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
       _UpperCamelCase     		=   [
           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     		=   [
           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     		=   [
           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     		=   [
           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     		=   [
           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     		=   [
           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     		=   [
           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     		=   [
           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     		=   [
           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     		=   [
           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 					UpperCAmelCase					(      self						,    a__       ):






        '''simple docstring'''






        snake_case :			Any							=   JukeboxTokenizer.from_pretrained(a__       )
        snake_case :			Optional[int]							=   tokenizer(**self.metas       )['''input_ids''']
        return tokens

       @slow
       def 					UpperCAmelCase					(      self       ):






        '''simple docstring'''






        snake_case :			Dict							=   JukeboxModel.from_pretrained(self.model_id						,    min_duration=0       ).eval()
        snake_case :			List[str]							=   self.prepare_inputs(self.model_id       )

        set_seed(0       )
        snake_case :			Dict							=   [torch.zeros(1						,    0						,    dtype=torch.long       ).cpu() for _ in range(3       )]
        snake_case :			int							=   model._sample(a__						,    a__						,    [0]						,    sample_length=60 * model.priors[0].raw_to_tokens						,    save_results=a__       )
        self.assertIn(zs[0][0].detach().cpu().tolist()						,    [self.EXPECTED_OUTPUT_2, self.EXPECTED_OUTPUT_2_PT_2]       )

        set_seed(0       )
        snake_case :			Optional[Any]							=   model._sample(a__						,    a__						,    [1]						,    sample_length=60 * model.priors[1].raw_to_tokens						,    save_results=a__       )
        self.assertIn(zs[1][0].detach().cpu().tolist()						,    [self.EXPECTED_OUTPUT_1, self.EXPECTED_OUTPUT_1_PT_2]       )

        set_seed(0       )
        snake_case :			List[Any]							=   model._sample(a__						,    a__						,    [2]						,    sample_length=60 * model.priors[2].raw_to_tokens						,    save_results=a__       )
        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       ):






        '''simple docstring'''






        snake_case :			Optional[int]							=   JukeboxModel.from_pretrained(self.model_id						,    min_duration=0       ).eval()
        snake_case :			Any							=   [i.cuda() for i in self.prepare_inputs(self.model_id       )]

        set_seed(0       )
        model.priors[0].cuda()
        snake_case :			Optional[Any]							=   [torch.zeros(1						,    0						,    dtype=torch.long       ).cuda() for _ in range(3       )]
        snake_case :			Tuple							=   model._sample(a__						,    a__						,    [0]						,    sample_length=60 * model.priors[0].raw_to_tokens						,    save_results=a__       )
        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 :			List[Any]							=   model._sample(a__						,    a__						,    [1]						,    sample_length=60 * model.priors[1].raw_to_tokens						,    save_results=a__       )
        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 :			Union[str, Any]							=   model._sample(a__						,    a__						,    [2]						,    sample_length=60 * model.priors[2].raw_to_tokens						,    save_results=a__       )
        torch.testing.assert_allclose(zs[2][0].cpu()						,    torch.tensor(self.EXPECTED_GPU_OUTPUTS_0       )       )



       @slow
       def 					UpperCAmelCase					(      self       ):






        '''simple docstring'''






        snake_case :			Optional[int]							=   '''ArthurZ/jukebox_prior_0'''
        snake_case :			str							=   JukeboxPrior.from_pretrained(a__						,    min_duration=0       ).eval().half().to('''cuda'''       )

        snake_case :			Optional[int]							=   self.prepare_inputs(a__       )[0].cuda()
        snake_case :			Union[str, Any]							=   model.get_metadata(a__						,    0						,    76_80						,    0       )
        set_seed(0       )
        snake_case :			Optional[Any]							=   model.sample(1						,    metadata=a__						,    sample_tokens=60       )
        self.assertIn(outputs[0].cpu().tolist()						,    [self.EXPECTED_GPU_OUTPUTS_2, self.EXPECTED_GPU_OUTPUTS_2_PT_2]       )












def        lowerCamelCase_     (     SCREAMING_SNAKE_CASE       ,						SCREAMING_SNAKE_CASE ):
			'''simple docstring'''
			if n == 0:
						return 1

			elif n % 2 == 1:
						return binary_exponentiation(SCREAMING_SNAKE_CASE       ,						n - 1 ) * a

			else:
						SCREAMING_SNAKE_CASE     =       binary_exponentiation(SCREAMING_SNAKE_CASE       ,						n / 2 )
						return b * b


if __name__ == "__main__":
		try:
				__A    :				Tuple    						=	int(input("""Enter Base : """).strip())
				__A    :				Any    						=	int(input("""Enter Power : """).strip())
		except ValueError:
				print("""Invalid literal for integer""")

		__A    :				Union[str, Any]    						=	binary_exponentiation(BASE, POWER)
		print(f'''{BASE}^({POWER}) : {RESULT}''')






