

'''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							):
				snake_case_           =   (JukeboxModel,) if is_torch_available() else ()
				snake_case_           =   '''openai/jukebox-1b-lyrics'''
				snake_case_           =   {
				    '''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
				snake_case_           =   [
				    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
				]

				snake_case_           =   [
				    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
				]

				snake_case_           =   [
				    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
				]
				snake_case_           =   [
				    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
				]

				snake_case_           =   [
				    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
				]
				snake_case_           =   [
				    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
				]

				snake_case_           =   [1058304, 0, 786432, 7169, 507, 76, 27, 40, 30, 76]

				snake_case_           =   [
				    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
				]
				snake_case_           =   [
				    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
				]
				snake_case_           =   [
				    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
				]
				snake_case_           =   [
				    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
				]
				snake_case_           =   [
				    -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
				]
				snake_case_           =   [
				    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
				]
				snake_case_           =   [
				    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
				]
				snake_case_           =   [
				    76, 27, 40, 30, 76, 46, 44, 47, 40, 37, 38, 31, 45, 45, 76, 38, 31, 33,
				    45, 76, 41, 32, 76, 45, 46, 41, 40, 31, 78, 76
				]

				def 				_lowerCamelCase						(					self   )						->       Optional[Any]:
					snake_case							 =				JukeboxTokenizer.from_pretrained(self.model_id   )
					snake_case							 =				tokenizer(**self.metas   )['input_ids']
					return tokens

				@slow
				def 				_lowerCamelCase						(					self   )						->       str:
					snake_case							 =				JukeboxModel.from_pretrained(self.model_id,	min_duration=0   ).eval()
					snake_case							 =				self.prepare_inputs()

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

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

					snake_case							 =				model.priors[0]
					snake_case							 =				0
					snake_case							 =				top_prior.get_music_tokens_conds(lowercase_,	start=lowercase_,	end=start + top_prior.n_ctx   )
					snake_case							 =				top_prior.get_metadata(labels[0].clone(),	lowercase_,	1058304,	0   )

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

					snake_case , snake_case , snake_case							 =				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   )						->       Optional[int]:
					snake_case							 =				False

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

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

					snake_case							 =				torch.cat((zs[0], torch.zeros(1,	2048 - zs[0].shape[-1]   )),	dim=-1   ).long()
					snake_case							 =				[upper_a, model.vqvae.encode(lowercase_,	start_level=1,	bs_chunks=waveform.shape[0]   )[0], None]
					snake_case							 =				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   )   )

					snake_case							 =				torch.cat((zs[1], torch.zeros(1,	2048 - zs[1].shape[-1]   )),	dim=-1   ).long()
					snake_case							 =				[upper_a, upper_a, model.vqvae.encode(lowercase_,	start_level=0,	bs_chunks=waveform.shape[0]   )[0]]
					snake_case							 =				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   )						->       Optional[int]:
					snake_case							 =				JukeboxModel.from_pretrained(self.model_id,	min_duration=0   ).eval()
					set_seed(0   )
					snake_case							 =				torch.rand((1, 5120, 1)   )
					with torch.no_grad():
						snake_case							 =				model.vqvae.encode(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():
						snake_case							 =				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							):
				snake_case_           =   (JukeboxModel,) if is_torch_available() else ()
				snake_case_           =   '''openai/jukebox-5b-lyrics'''
				snake_case_           =   {
				    '''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
				snake_case_           =   [
				    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
				]
				snake_case_           =   [
				    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
				]

				snake_case_           =   [
				    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
				]
				snake_case_           =   [
				    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
				]

				snake_case_           =   [
				    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
				]
				snake_case_           =   [
				    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
				]

				snake_case_           =   [
				    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
				]
				snake_case_           =   [
				    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
				]

				snake_case_           =   [
				    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
				]
				snake_case_           =   [
				    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,	lowercase_   )						->       Union[str, Any]:
					snake_case							 =				JukeboxTokenizer.from_pretrained(lowercase_   )
					snake_case							 =				tokenizer(**self.metas   )['input_ids']
					return tokens

				@slow
				def 				_lowerCamelCase						(					self   )						->       List[Any]:
					snake_case							 =				JukeboxModel.from_pretrained(self.model_id,	min_duration=0   ).eval()
					snake_case							 =				self.prepare_inputs(self.model_id   )

					set_seed(0   )
					snake_case							 =				[torch.zeros(1,	0,	dtype=torch.long   ).cpu() for _ in range(3   )]
					snake_case							 =				model._sample(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   )
					snake_case							 =				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   )
					snake_case							 =				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   )						->       List[str]:
					snake_case							 =				JukeboxModel.from_pretrained(self.model_id,	min_duration=0   ).eval()
					snake_case							 =				[i.cuda() for i in self.prepare_inputs(self.model_id   )]

					set_seed(0   )
					model.priors[0].cuda()
					snake_case							 =				[torch.zeros(1,	0,	dtype=torch.long   ).cuda() for _ in range(3   )]
					snake_case							 =				model._sample(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()
					snake_case							 =				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()
					snake_case							 =				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   )						->       Optional[int]:
					snake_case							 =				'ArthurZ/jukebox_prior_0'
					snake_case							 =				JukeboxPrior.from_pretrained(lowercase_,	min_duration=0   ).eval().half().to('cuda'   )

					snake_case							 =				self.prepare_inputs(lowercase_   )[0].cuda()
					snake_case							 =				model.get_metadata(lowercase_,	0,	7680,	0   )
					set_seed(0   )
					snake_case							 =				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]   )








'''simple docstring'''

import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple, Union

import numpy as np
import regex as re

from ...utils import is_tf_available, is_torch_available, logging


if TYPE_CHECKING:
						if is_torch_available():
												import torch
						if is_tf_available():
												import tensorflow as tf

from ...tokenization_utils import AddedToken, PreTrainedTokenizer


lowerCAmelCase_						   =			logging.get_logger(__name__)

lowerCAmelCase_						   =			{
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

lowerCAmelCase_						   =			{
    "vocab_file": {
        "Salesforce/codegen-350M-mono": "https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/vocab.json",
    },
    "merges_file": {
        "Salesforce/codegen-350M-mono": "https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/merges.txt",
    },
}

lowerCAmelCase_						   =			{
    "Salesforce/codegen-350M-mono": 2_0_4_8,
}

@lru_cache()
def     __magic_name__       ( )			->		List[str]:
	snake_case							 =				(
	    list(range(ord('!'							)					,   ord('~'							) + 1							)							) + list(range(ord('¡'							)					,   ord('¬'							) + 1							)							) + list(range(ord('®'							)					,   ord('ÿ'							) + 1							)							)
	)
	snake_case							 =				bs[:]
	snake_case							 =				0
	for b in range(2**8							):
		if b not in bs:
			bs.append(A							)
			cs.append(2**8 + n							)
			n += 1
	snake_case							 =				[chr(A							) for n in cs]
	return dict(zip(A					,   A							)							)

def     __magic_name__       ( A							)			->		int:
	snake_case							 =				set()
	snake_case							 =				word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)							)
		snake_case							 =				char
	return pairs







class lowerCamelCase      (						__lowerCAmelCase							):
				snake_case_           =   VOCAB_FILES_NAMES
				snake_case_           =   PRETRAINED_VOCAB_FILES_MAP
				snake_case_           =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				snake_case_           =   ['''input_ids''', '''attention_mask''']

				def __init__(					self,	lowercase_,	lowercase_,	lowercase_="replace",	lowercase_="<|endoftext|>",	lowercase_="<|endoftext|>",	lowercase_="<|endoftext|>",	lowercase_=None,	lowercase_=False,	lowercase_=False,	**lowercase_,	)						->       int:
					snake_case							 =				AddedToken(lowercase_,	lstrip=lowercase_,	rstrip=lowercase_   ) if isinstance(lowercase_,	lowercase_   ) else bos_token
					snake_case							 =				AddedToken(lowercase_,	lstrip=lowercase_,	rstrip=lowercase_   ) if isinstance(lowercase_,	lowercase_   ) else eos_token
					snake_case							 =				AddedToken(lowercase_,	lstrip=lowercase_,	rstrip=lowercase_   ) if isinstance(lowercase_,	lowercase_   ) else unk_token
					snake_case							 =				AddedToken(lowercase_,	lstrip=lowercase_,	rstrip=lowercase_   ) if isinstance(lowercase_,	lowercase_   ) else pad_token
					super().__init__(
					    errors=lowercase_,	unk_token=lowercase_,	bos_token=lowercase_,	eos_token=lowercase_,	pad_token=lowercase_,	add_prefix_space=lowercase_,	add_bos_token=lowercase_,	**lowercase_,	)
					snake_case							 =				add_bos_token

					with open(lowercase_,	encoding='utf-8'   ) as vocab_handle:
						snake_case							 =				json.load(lowercase_   )
					snake_case							 =				{v: k for k, v in self.encoder.items()}
					snake_case							 =				errors  # how to handle errors in decoding
					snake_case							 =				bytes_to_unicode()
					snake_case							 =				{v: k for k, v in self.byte_encoder.items()}
					with open(lowercase_,	encoding='utf-8'   ) as merges_handle:
						snake_case							 =				merges_handle.read().split('\n'   )[1:-1]
					snake_case							 =				[tuple(merge.split()   ) for merge in bpe_merges]
					snake_case							 =				dict(zip(lowercase_,	range(len(lowercase_   )   )   )   )
					snake_case							 =				{}
					snake_case							 =				add_prefix_space

					# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
					snake_case							 =				re.compile(r'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'   )

				@property
				def 				_lowerCamelCase						(					self   )						->       Tuple:
					return len(self.encoder   )

				def 				_lowerCamelCase						(					self   )						->       str:
					return dict(self.encoder,	**self.added_tokens_encoder   )

				def 				_lowerCamelCase						(					self,	lowercase_   )						->       Optional[int]:
					if token in self.cache:
						return self.cache[token]
					snake_case							 =				tuple(lowercase_   )
					snake_case							 =				get_pairs(lowercase_   )

					if not pairs:
						return token

					while True:
						snake_case							 =				min(lowercase_,	key=lambda lowercase_   : self.bpe_ranks.get(lowercase_,	float('inf'   )   )   )
						if bigram not in self.bpe_ranks:
							break
						snake_case , snake_case							 =				bigram
						snake_case							 =				[]
						snake_case							 =				0
						while i < len(lowercase_   ):
							try:
								snake_case							 =				word.index(lowercase_,	lowercase_   )
							except ValueError:
								new_word.extend(word[i:]   )
								break
							else:
								new_word.extend(word[i:j]   )
								snake_case							 =				j

							if word[i] == first and i < len(lowercase_   ) - 1 and word[i + 1] == second:
								new_word.append(first + second   )
								i += 2
							else:
								new_word.append(word[i]   )
								i += 1
						snake_case							 =				tuple(lowercase_   )
						snake_case							 =				new_word
						if len(lowercase_   ) == 1:
							break
						else:
							snake_case							 =				get_pairs(lowercase_   )
					snake_case							 =				' '.join(lowercase_   )
					snake_case							 =				word
					return word

				def 				_lowerCamelCase						(					self,	lowercase_,	lowercase_=None   )						->       int:
					if self.add_bos_token:
						snake_case							 =				[self.bos_token_id]
					else:
						snake_case							 =				[]

					snake_case							 =				bos_token_ids + token_ids_a

					if token_ids_a is None:
						return output

					return output + bos_token_ids + token_ids_a

				def 				_lowerCamelCase						(					self,	lowercase_   )						->       Union[str, Any]:
					snake_case							 =				[]
					for token in re.findall(self.pat,	lowercase_   ):
						snake_case							 =				''.join(
						    self.byte_encoder[b] for b in token.encode('utf-8'   )   )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
						bpe_tokens.extend(bpe_token for bpe_token in self.bpe(lowercase_   ).split(' '   )   )
					return bpe_tokens

				def 				_lowerCamelCase						(					self,	lowercase_   )						->       int:
					return self.encoder.get(lowercase_,	self.encoder.get(self.unk_token   )   )

				def 				_lowerCamelCase						(					self,	lowercase_   )						->       Optional[int]:
					return self.decoder.get(lowercase_   )

				def 				_lowerCamelCase						(					self,	lowercase_   )						->       Optional[int]:
					snake_case							 =				''.join(lowercase_   )
					snake_case							 =				bytearray([self.byte_decoder[c] for c in text]   ).decode('utf-8',	errors=self.errors   )
					return text

				def 				_lowerCamelCase						(					self,	lowercase_,	lowercase_ = None   )						->       Tuple[str]:
					if not os.path.isdir(lowercase_   ):
						logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''   )
						return
					snake_case							 =				os.path.join(
					    lowercase_,	(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']   )
					snake_case							 =				os.path.join(
					    lowercase_,	(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']   )

					with open(lowercase_,	'w',	encoding='utf-8'   ) as f:
						f.write(json.dumps(self.encoder,	indent=2,	sort_keys=lowercase_,	ensure_ascii=lowercase_   ) + '\n'   )

					snake_case							 =				0
					with open(lowercase_,	'w',	encoding='utf-8'   ) as writer:
						writer.write('#version: 0.2\n'   )
						for bpe_tokens, token_index in sorted(self.bpe_ranks.items(),	key=lambda lowercase_   : kv[1]   ):
							if index != token_index:
								logger.warning(
								    F'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
								    ' Please check that the tokenizer is not corrupted!'   )
								snake_case							 =				token_index
							writer.write(' '.join(lowercase_   ) + '\n'   )
							index += 1

					return vocab_file, merge_file

				def 				_lowerCamelCase						(					self,	lowercase_,	lowercase_=False,	**lowercase_   )						->       List[str]:
					snake_case							 =				kwargs.pop('add_prefix_space',	self.add_prefix_space   )
					if is_split_into_words or add_prefix_space:
						snake_case							 =				' ' + text
					return (text, kwargs)

				def 				_lowerCamelCase						(					self,	lowercase_,	lowercase_ = False,	lowercase_ = None,	lowercase_ = None,	**lowercase_,	)						->       str:
					snake_case							 =				super()._decode(
					    token_ids=lowercase_,	skip_special_tokens=lowercase_,	clean_up_tokenization_spaces=lowercase_,	**lowercase_,	)

					if truncate_before_pattern is not None and len(lowercase_   ) > 0:
						snake_case							 =				self.truncate(lowercase_,	lowercase_   )

					return decoded_text






				def 				_lowerCamelCase						(					self,	lowercase_,	lowercase_   )						->       Optional[int]:
					def find_re(lowercase_,	lowercase_,	lowercase_   ):
						snake_case							 =				pattern.search(lowercase_,	lowercase_   )
						return m.start() if m else -1

					snake_case							 =				[re.compile(lowercase_,	re.MULTILINE   ) for pattern in truncate_before_pattern]

					snake_case							 =				list(re.finditer('^print',	lowercase_,	re.MULTILINE   )   )

					if len(lowercase_   ) > 1:
						snake_case							 =				completion[: prints[1].start()]

					snake_case							 =				list(re.finditer('^def',	lowercase_,	re.MULTILINE   )   )

					if len(lowercase_   ) > 1:
						snake_case							 =				completion[: defs[1].start()]

					snake_case							 =				0

					snake_case							 =				[
					    pos for pos in [find_re(lowercase_,	lowercase_,	lowercase_   ) for terminal in terminals] if pos != -1
					]

					if len(lowercase_   ) > 0:
						return completion[: min(lowercase_   )]
					else:
						return completion





