



'''simple docstring'''






import unittest

from transformers import JukeboxTokenizer
from transformers.testing_utils import require_torch

class 				SCREAMING_SNAKE_CASE(							unittest.TestCase			):







	"""simple docstring"""






	lowerCamelCase__			 =       JukeboxTokenizer
	lowerCamelCase__			 =       {
	    """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
        """,
	}







	@require_torch
	def      A	(						self			:     str		)			->		Tuple:
								import torch

								UpperCAmelCase :       Tuple 							=		JukeboxTokenizer.from_pretrained('''openai/jukebox-1b-lyrics'''		)
								UpperCAmelCase :       Optional[Any] 							=		tokenizer(**self.metas		)['''input_ids''']
								# fmt: off
								UpperCAmelCase :       List[Any] 							=		[
								    torch.tensor([[
								        0, 0, 0, 7169, 507, 9, 76, 39, 31, 46, 76, 27,
								        76, 46, 44, 27, 48, 31, 38, 38, 31, 44, 76, 32,
								        44, 41, 39, 76, 27, 40, 76, 27, 40, 46, 35, 43,
								        47, 31, 76, 38, 27, 40, 30, 64, 78, 76, 76, 76,
								        76, 76, 76, 76, 76, 23, 34, 41, 76, 45, 27, 35,
								        30, 76, 71, 20, 49, 41, 76, 48, 27, 45, 46, 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, 76, 76, 76, 76, 76, 76, 76,
								        19, 46, 27, 40, 30, 76, 35, 40, 76, 46, 34, 31,
								        76, 30, 31, 45, 31, 44, 46, 63, 76, 63, 76, 63,
								        76, 63, 76, 14, 31, 27, 44, 76, 46, 34, 31, 39,
								        64, 76, 41, 40, 76, 46, 34, 31, 76, 45, 27, 40,
								        30, 64, 78, 76, 76, 76, 76, 76, 76, 76, 76, 8,
								        27, 38, 32, 76, 45, 47, 40, 37, 76, 27, 76, 45,
								        34, 27, 46, 46, 31, 44, 31, 30, 76, 48, 35, 45,
								        27, 33, 31, 76, 38, 35, 31, 45, 64, 76, 49, 34,
								        41, 45, 31, 76, 32, 44, 41, 49, 40, 64, 78, 76,
								        76, 76, 76, 76, 76, 76, 76, 1, 40, 30, 76, 49,
								        44, 35, 40, 37, 38, 31, 30, 76, 38, 35, 42, 64,
								        76, 27, 40, 30, 76, 45, 40, 31, 31, 44, 76, 41,
								        32, 76, 29, 41, 38, 30, 76, 29, 41, 39, 39, 27,
								        40, 30, 64, 78, 76, 76, 76, 76, 76, 76, 76, 76,
								        20, 31, 38, 38, 76, 46, 34, 27, 46, 76, 35, 46,
								        45, 76, 45, 29, 47, 38, 42, 46, 41, 44, 76, 49,
								        31, 38, 38, 76, 46, 34, 41, 45, 31, 76, 42, 27,
								        45, 45, 35, 41, 40, 45, 76, 44, 31, 27, 30, 78,
								        76, 76, 76, 76, 76, 76, 76, 76, 23, 34, 35, 29,
								        34, 76, 51, 31, 46, 76, 45, 47, 44, 48, 35, 48,
								        31, 64, 76, 45, 46, 27, 39, 42, 31, 30, 76, 41,
								        40, 76, 46, 34, 31, 45, 31, 76, 38, 35, 32, 31,
								        38, 31, 45, 45, 76, 46, 34, 35, 40, 33, 45, 64,
								        78, 76, 76, 76, 76, 76, 76, 76, 76, 20, 34, 31,
								        76, 34, 27, 40, 30, 76, 46, 34, 27, 46, 76, 39,
								        41, 29, 37, 31, 30, 76, 46, 34, 31, 39, 64, 76,
								        27, 40, 30, 76, 46, 34, 31, 76, 34, 31, 27, 44,
								        46, 76, 46, 34, 27, 46, 76, 32, 31, 30, 66, 78,
								        76, 76, 76, 76, 76, 76, 76, 76, 1, 40, 30, 76,
								        41, 40, 76, 46, 34, 31, 76, 42, 31, 30, 31, 45,
								        46, 27, 38, 64, 76, 46, 34, 31, 45, 31, 76, 49,
								        41, 44, 30, 45, 76, 27, 42, 42, 31, 27, 44, 65,
								        78, 76, 76, 76, 76, 76, 76, 76, 76, 13, 51, 76,
								        40, 27, 39, 31, 76, 35, 45, 76, 15, 52, 51, 39,
								        27, 40, 30, 35, 27, 45, 64, 76, 11, 35, 40, 33,
								        76, 41, 32, 76, 11, 35, 40, 33, 45, 66, 78, 76,
								        76, 76, 76, 76, 76, 76, 76, 12, 41, 41, 37, 76,
								        41, 40, 76, 39, 51, 76, 23, 41, 44, 37, 45, 64,
								        76, 51, 31, 76, 13, 35, 33, 34, 46, 51, 64, 76,
								        27, 40, 30, 76, 30, 31, 45, 42, 27, 35, 44, 67,
								        78, 76, 76, 76, 76, 76, 76, 76, 76, 14, 41, 46,
								        34, 35, 40, 33, 76, 28, 31, 45, 35, 30, 31, 76,
								        44, 31, 39, 27, 35, 40, 45, 63, 76, 18, 41, 47,
								        40, 30, 76, 46, 34, 31, 76, 30, 31, 29, 27, 51,
								        78, 76, 76, 76, 76, 76, 76, 76, 76, 15, 32, 76,
								        46, 34, 27, 46, 76, 29, 41, 38, 41, 45, 45, 27,
								        38, 76, 23, 44, 31, 29, 37, 64, 76, 28, 41, 47,
								        40, 30, 38, 31, 45, 45, 76, 27, 40, 30, 76, 28,
								        27, 44, 31, 78, 76, 76, 76, 76, 76, 76, 76, 76,
								        20, 34, 31, 76, 38, 41, 40, 31, 76, 27, 40, 30,
								        76, 38, 31, 48, 31, 38, 76, 45, 27, 40, 30, 45,
								        76, 45, 46, 44, 31, 46, 29, 34, 76, 32, 27, 44,
								        76, 27, 49, 27, 51, 78, 76, 76, 76, 76, 76, 76,
								        76, 76]]		),
								    torch.tensor([[0, 0, 0, 1069, 11]]		),
								    torch.tensor([[0, 0, 0, 1069, 11]]		),
								]
								# fmt: on
								self.assertTrue(torch.allclose(tokens[0]		,			EXPECTED_OUTPUT[0]		)		)
								self.assertTrue(torch.allclose(tokens[1]		,			EXPECTED_OUTPUT[1]		)		)
								self.assertTrue(torch.allclose(tokens[2]		,			EXPECTED_OUTPUT[2]		)		)







	@require_torch
	def      A	(						self			:     Optional[Any]		)			->		str:
								import torch

								UpperCAmelCase :       Tuple 							=		JukeboxTokenizer.from_pretrained('''openai/jukebox-5b-lyrics'''		)
								UpperCAmelCase :       str 							=		tokenizer(**self.metas		)['''input_ids''']
								# fmt: off
								UpperCAmelCase :       Union[str, Any] 							=		[
								    torch.tensor([[
								        0, 0, 0, 1069, 11, -1, -1, -1, -1, 9, 77, 39,
								        31, 46, 77, 27, 77, 46, 44, 27, 48, 31, 38, 38,
								        31, 44, 77, 32, 44, 41, 39, 77, 27, 40, 77, 27,
								        40, 46, 35, 43, 47, 31, 77, 38, 27, 40, 30, 64,
								        79, 77, 77, 77, 77, 77, 77, 77, 77, 23, 34, 41,
								        77, 45, 27, 35, 30, 77, 72, 20, 49, 41, 77, 48,
								        27, 45, 46, 77, 27, 40, 30, 77, 46, 44, 47, 40,
								        37, 38, 31, 45, 45, 77, 38, 31, 33, 45, 77, 41,
								        32, 77, 45, 46, 41, 40, 31, 79, 77, 77, 77, 77,
								        77, 77, 77, 77, 19, 46, 27, 40, 30, 77, 35, 40,
								        77, 46, 34, 31, 77, 30, 31, 45, 31, 44, 46, 63,
								        77, 63, 77, 63, 77, 63, 77, 14, 31, 27, 44, 77,
								        46, 34, 31, 39, 64, 77, 41, 40, 77, 46, 34, 31,
								        77, 45, 27, 40, 30, 64, 79, 77, 77, 77, 77, 77,
								        77, 77, 77, 8, 27, 38, 32, 77, 45, 47, 40, 37,
								        77, 27, 77, 45, 34, 27, 46, 46, 31, 44, 31, 30,
								        77, 48, 35, 45, 27, 33, 31, 77, 38, 35, 31, 45,
								        64, 77, 49, 34, 41, 45, 31, 77, 32, 44, 41, 49,
								        40, 64, 79, 77, 77, 77, 77, 77, 77, 77, 77, 1,
								        40, 30, 77, 49, 44, 35, 40, 37, 38, 31, 30, 77,
								        38, 35, 42, 64, 77, 27, 40, 30, 77, 45, 40, 31,
								        31, 44, 77, 41, 32, 77, 29, 41, 38, 30, 77, 29,
								        41, 39, 39, 27, 40, 30, 64, 79, 77, 77, 77, 77,
								        77, 77, 77, 77, 20, 31, 38, 38, 77, 46, 34, 27,
								        46, 77, 35, 46, 45, 77, 45, 29, 47, 38, 42, 46,
								        41, 44, 77, 49, 31, 38, 38, 77, 46, 34, 41, 45,
								        31, 77, 42, 27, 45, 45, 35, 41, 40, 45, 77, 44,
								        31, 27, 30, 79, 77, 77, 77, 77, 77, 77, 77, 77,
								        23, 34, 35, 29, 34, 77, 51, 31, 46, 77, 45, 47,
								        44, 48, 35, 48, 31, 64, 77, 45, 46, 27, 39, 42,
								        31, 30, 77, 41, 40, 77, 46, 34, 31, 45, 31, 77,
								        38, 35, 32, 31, 38, 31, 45, 45, 77, 46, 34, 35,
								        40, 33, 45, 64, 79, 77, 77, 77, 77, 77, 77, 77,
								        77, 20, 34, 31, 77, 34, 27, 40, 30, 77, 46, 34,
								        27, 46, 77, 39, 41, 29, 37, 31, 30, 77, 46, 34,
								        31, 39, 64, 77, 27, 40, 30, 77, 46, 34, 31, 77,
								        34, 31, 27, 44, 46, 77, 46, 34, 27, 46, 77, 32,
								        31, 30, 66, 79, 77, 77, 77, 77, 77, 77, 77, 77,
								        1, 40, 30, 77, 41, 40, 77, 46, 34, 31, 77, 42,
								        31, 30, 31, 45, 46, 27, 38, 64, 77, 46, 34, 31,
								        45, 31, 77, 49, 41, 44, 30, 45, 77, 27, 42, 42,
								        31, 27, 44, 65, 79, 77, 77, 77, 77, 77, 77, 77,
								        77, 13, 51, 77, 40, 27, 39, 31, 77, 35, 45, 77,
								        15, 52, 51, 39, 27, 40, 30, 35, 27, 45, 64, 77,
								        11, 35, 40, 33, 77, 41, 32, 77, 11, 35, 40, 33,
								        45, 66, 79, 77, 77, 77, 77, 77, 77, 77, 77, 12,
								        41, 41, 37, 77, 41, 40, 77, 39, 51, 77, 23, 41,
								        44, 37, 45, 64, 77, 51, 31, 77, 13, 35, 33, 34,
								        46, 51, 64, 77, 27, 40, 30, 77, 30, 31, 45, 42,
								        27, 35, 44, 67, 79, 77, 77, 77, 77, 77, 77, 77,
								        77, 14, 41, 46, 34, 35, 40, 33, 77, 28, 31, 45,
								        35, 30, 31, 77, 44, 31, 39, 27, 35, 40, 45, 63,
								        77, 18, 41, 47, 40, 30, 77, 46, 34, 31, 77, 30,
								        31, 29, 27, 51, 79, 77, 77, 77, 77, 77, 77, 77,
								        77, 15, 32, 77, 46, 34, 27, 46, 77, 29, 41, 38,
								        41, 45, 45, 27, 38, 77, 23, 44, 31, 29, 37, 64,
								        77, 28, 41, 47, 40, 30, 38, 31, 45, 45, 77, 27,
								        40, 30, 77, 28, 27, 44, 31, 79, 77, 77, 77, 77,
								        77, 77, 77, 77, 20, 34, 31, 77, 38, 41, 40, 31,
								        77, 27, 40, 30, 77, 38, 31, 48, 31, 38, 77, 45,
								        27, 40, 30, 45, 77, 45, 46, 44, 31, 46, 29, 34,
								        77, 32, 27, 44, 77, 27, 49, 27, 51, 79, 77, 77,
								        77, 77, 77, 77, 77, 77]]		),
								    torch.tensor([[0, 0, 0, 1069, 11, -1, -1, -1, -1]]		),
								    torch.tensor([[0, 0, 0, 1069, 11, -1, -1, -1, -1]]		),
								]
								# fmt: on
								self.assertTrue(torch.allclose(tokens[0]		,			EXPECTED_OUTPUT[0]		)		)
								self.assertTrue(torch.allclose(tokens[1]		,			EXPECTED_OUTPUT[1]		)		)
								self.assertTrue(torch.allclose(tokens[2]		,			EXPECTED_OUTPUT[2]		)		)










'''simple docstring'''






from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter


def  snake_case_     (					_lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						float = 1 / sqrt(2  )  )      ->   IIRFilter:
							UpperCAmelCase :       Optional[int] 							=		tau * frequency / samplerate
							UpperCAmelCase :       List[Any] 							=		sin(_lowerCAmelCase  )
							UpperCAmelCase :       Optional[Any] 							=		cos(_lowerCAmelCase  )
							UpperCAmelCase :       int 							=		_sin / (2 * q_factor)

							UpperCAmelCase :       Any 							=		(1 - _cos) / 2
							UpperCAmelCase :       List[Any] 							=		1 - _cos

							UpperCAmelCase :       Union[str, Any] 							=		1 + alpha
							UpperCAmelCase :       Any 							=		-2 * _cos
							UpperCAmelCase :       Dict 							=		1 - alpha

							UpperCAmelCase :       Union[str, Any] 							=		IIRFilter(2  )
							filt.set_coefficients([aa, aa, aa]   ,      [ba, ba, ba]  )
							return filt


def  snake_case_     (					_lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						float = 1 / sqrt(2  )  )      ->   IIRFilter:
							UpperCAmelCase :       Any 							=		tau * frequency / samplerate
							UpperCAmelCase :       Tuple 							=		sin(_lowerCAmelCase  )
							UpperCAmelCase :       Tuple 							=		cos(_lowerCAmelCase  )
							UpperCAmelCase :       Dict 							=		_sin / (2 * q_factor)

							UpperCAmelCase :       int 							=		(1 + _cos) / 2
							UpperCAmelCase :       List[Any] 							=		-1 - _cos

							UpperCAmelCase :       Tuple 							=		1 + alpha
							UpperCAmelCase :       List[str] 							=		-2 * _cos
							UpperCAmelCase :       Optional[Any] 							=		1 - alpha

							UpperCAmelCase :       Tuple 							=		IIRFilter(2  )
							filt.set_coefficients([aa, aa, aa]   ,      [ba, ba, ba]  )
							return filt


def  snake_case_     (					_lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						float = 1 / sqrt(2  )  )      ->   IIRFilter:
							UpperCAmelCase :       Optional[int] 							=		tau * frequency / samplerate
							UpperCAmelCase :       Optional[int] 							=		sin(_lowerCAmelCase  )
							UpperCAmelCase :       Tuple 							=		cos(_lowerCAmelCase  )
							UpperCAmelCase :       Optional[int] 							=		_sin / (2 * q_factor)

							UpperCAmelCase :       Union[str, Any] 							=		_sin / 2
							UpperCAmelCase :       Any 							=		0
							UpperCAmelCase :       int 							=		-ba

							UpperCAmelCase :       Optional[Any] 							=		1 + alpha
							UpperCAmelCase :       List[Any] 							=		-2 * _cos
							UpperCAmelCase :       Optional[Any] 							=		1 - alpha

							UpperCAmelCase :       int 							=		IIRFilter(2  )
							filt.set_coefficients([aa, aa, aa]   ,      [ba, ba, ba]  )
							return filt


def  snake_case_     (					_lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						float = 1 / sqrt(2  )  )      ->   IIRFilter:
							UpperCAmelCase :       List[str] 							=		tau * frequency / samplerate
							UpperCAmelCase :       Union[str, Any] 							=		sin(_lowerCAmelCase  )
							UpperCAmelCase :       str 							=		cos(_lowerCAmelCase  )
							UpperCAmelCase :       Optional[Any] 							=		_sin / (2 * q_factor)

							UpperCAmelCase :       List[str] 							=		1 - alpha
							UpperCAmelCase :       Any 							=		-2 * _cos
							UpperCAmelCase :       Optional[int] 							=		1 + alpha

							UpperCAmelCase :       Union[str, Any] 							=		IIRFilter(2  )
							filt.set_coefficients([ba, ba, ba]   ,      [ba, ba, ba]  )
							return filt


def  snake_case_     (					_lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						float   ,      _lowerCAmelCase  :						float = 1 / sqrt(2  )   ,      )      ->   IIRFilter:
							UpperCAmelCase :       Optional[Any] 							=		tau * frequency / samplerate
							UpperCAmelCase :       Union[str, Any] 							=		sin(_lowerCAmelCase  )
							UpperCAmelCase :       Optional[int] 							=		cos(_lowerCAmelCase  )
							UpperCAmelCase :       Dict 							=		_sin / (2 * q_factor)
							UpperCAmelCase :       str 							=		10 ** (gain_db / 40)

							UpperCAmelCase :       int 							=		1 + alpha * big_a
							UpperCAmelCase :       Union[str, Any] 							=		-2 * _cos
							UpperCAmelCase :       Optional[Any] 							=		1 - alpha * big_a
							UpperCAmelCase :       Union[str, Any] 							=		1 + alpha / big_a
							UpperCAmelCase :       Tuple 							=		-2 * _cos
							UpperCAmelCase :       Any 							=		1 - alpha / big_a

							UpperCAmelCase :       Optional[Any] 							=		IIRFilter(2  )
							filt.set_coefficients([aa, aa, aa]   ,      [ba, ba, ba]  )
							return filt


def  snake_case_     (					_lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						float   ,      _lowerCAmelCase  :						float = 1 / sqrt(2  )   ,      )      ->   IIRFilter:
							UpperCAmelCase :       Any 							=		tau * frequency / samplerate
							UpperCAmelCase :       Optional[int] 							=		sin(_lowerCAmelCase  )
							UpperCAmelCase :       Union[str, Any] 							=		cos(_lowerCAmelCase  )
							UpperCAmelCase :       str 							=		_sin / (2 * q_factor)
							UpperCAmelCase :       List[str] 							=		10 ** (gain_db / 40)
							UpperCAmelCase :       Optional[int] 							=		(big_a + 1) - (big_a - 1) * _cos
							UpperCAmelCase :       int 							=		(big_a + 1) + (big_a - 1) * _cos
							UpperCAmelCase :       int 							=		(big_a - 1) - (big_a + 1) * _cos
							UpperCAmelCase :       Optional[int] 							=		(big_a - 1) + (big_a + 1) * _cos
							UpperCAmelCase :       str 							=		2 * sqrt(_lowerCAmelCase  ) * alpha

							UpperCAmelCase :       Dict 							=		big_a * (pmc + aaa)
							UpperCAmelCase :       Any 							=		2 * big_a * mpc
							UpperCAmelCase :       Union[str, Any] 							=		big_a * (pmc - aaa)
							UpperCAmelCase :       Optional[int] 							=		ppmc + aaa
							UpperCAmelCase :       Optional[Any] 							=		-2 * pmpc
							UpperCAmelCase :       Optional[Any] 							=		ppmc - aaa

							UpperCAmelCase :       int 							=		IIRFilter(2  )
							filt.set_coefficients([aa, aa, aa]   ,      [ba, ba, ba]  )
							return filt




def  snake_case_     (					_lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						float   ,      _lowerCAmelCase  :						float = 1 / sqrt(2  )   ,      )      ->   IIRFilter:
							UpperCAmelCase :       int 							=		tau * frequency / samplerate
							UpperCAmelCase :       Union[str, Any] 							=		sin(_lowerCAmelCase  )
							UpperCAmelCase :       Union[str, Any] 							=		cos(_lowerCAmelCase  )
							UpperCAmelCase :       Any 							=		_sin / (2 * q_factor)
							UpperCAmelCase :       int 							=		10 ** (gain_db / 40)
							UpperCAmelCase :       List[str] 							=		(big_a + 1) - (big_a - 1) * _cos
							UpperCAmelCase :       Union[str, Any] 							=		(big_a + 1) + (big_a - 1) * _cos
							UpperCAmelCase :       Optional[Any] 							=		(big_a - 1) - (big_a + 1) * _cos
							UpperCAmelCase :       Union[str, Any] 							=		(big_a - 1) + (big_a + 1) * _cos
							UpperCAmelCase :       List[str] 							=		2 * sqrt(_lowerCAmelCase  ) * alpha

							UpperCAmelCase :       Any 							=		big_a * (ppmc + aaa)
							UpperCAmelCase :       str 							=		-2 * big_a * pmpc
							UpperCAmelCase :       List[Any] 							=		big_a * (ppmc - aaa)
							UpperCAmelCase :       Optional[Any] 							=		pmc + aaa
							UpperCAmelCase :       Any 							=		2 * mpc
							UpperCAmelCase :       str 							=		pmc - aaa

							UpperCAmelCase :       Union[str, Any] 							=		IIRFilter(2  )
							filt.set_coefficients([aa, aa, aa]   ,      [ba, ba, ba]  )
							return filt





