



from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter


def A						(       __UpperCamelCase ,	__UpperCamelCase ,	__UpperCamelCase = 1 / sqrt(2					)					)						->      IIRFilter:
			A__       =    tau * frequency / samplerate
			A__       =    sin(__UpperCamelCase					)
			A__       =    cos(__UpperCamelCase					)
			A__       =    _sin / (2 * q_factor)

			A__       =    (1 - _cos) / 2
			A__       =    1 - _cos

			A__       =    1 + alpha
			A__       =    -2 * _cos
			A__       =    1 - alpha

			A__       =    IIRFilter(2					)
			filt.set_coefficients([aa, aa, aa] ,	[ba, ba, ba]					)
			return filt


def A						(       __UpperCamelCase ,	__UpperCamelCase ,	__UpperCamelCase = 1 / sqrt(2					)					)						->      IIRFilter:
			A__       =    tau * frequency / samplerate
			A__       =    sin(__UpperCamelCase					)
			A__       =    cos(__UpperCamelCase					)
			A__       =    _sin / (2 * q_factor)

			A__       =    (1 + _cos) / 2
			A__       =    -1 - _cos

			A__       =    1 + alpha
			A__       =    -2 * _cos
			A__       =    1 - alpha

			A__       =    IIRFilter(2					)
			filt.set_coefficients([aa, aa, aa] ,	[ba, ba, ba]					)
			return filt


def A						(       __UpperCamelCase ,	__UpperCamelCase ,	__UpperCamelCase = 1 / sqrt(2					)					)						->      IIRFilter:
			A__       =    tau * frequency / samplerate
			A__       =    sin(__UpperCamelCase					)
			A__       =    cos(__UpperCamelCase					)
			A__       =    _sin / (2 * q_factor)

			A__       =    _sin / 2
			A__       =    0
			A__       =    -ba

			A__       =    1 + alpha
			A__       =    -2 * _cos
			A__       =    1 - alpha

			A__       =    IIRFilter(2					)
			filt.set_coefficients([aa, aa, aa] ,	[ba, ba, ba]					)
			return filt


def A						(       __UpperCamelCase ,	__UpperCamelCase ,	__UpperCamelCase = 1 / sqrt(2					)					)						->      IIRFilter:
			A__       =    tau * frequency / samplerate
			A__       =    sin(__UpperCamelCase					)
			A__       =    cos(__UpperCamelCase					)
			A__       =    _sin / (2 * q_factor)

			A__       =    1 - alpha
			A__       =    -2 * _cos
			A__       =    1 + alpha

			A__       =    IIRFilter(2					)
			filt.set_coefficients([ba, ba, ba] ,	[ba, ba, ba]					)
			return filt


def A						(       __UpperCamelCase ,	__UpperCamelCase ,	__UpperCamelCase ,	__UpperCamelCase = 1 / sqrt(2					) ,	)						->      IIRFilter:
			A__       =    tau * frequency / samplerate
			A__       =    sin(__UpperCamelCase					)
			A__       =    cos(__UpperCamelCase					)
			A__       =    _sin / (2 * q_factor)
			A__       =    10 ** (gain_db / 40)

			A__       =    1 + alpha * big_a
			A__       =    -2 * _cos
			A__       =    1 - alpha * big_a
			A__       =    1 + alpha / big_a
			A__       =    -2 * _cos
			A__       =    1 - alpha / big_a

			A__       =    IIRFilter(2					)
			filt.set_coefficients([aa, aa, aa] ,	[ba, ba, ba]					)
			return filt


def A						(       __UpperCamelCase ,	__UpperCamelCase ,	__UpperCamelCase ,	__UpperCamelCase = 1 / sqrt(2					) ,	)						->      IIRFilter:
			A__       =    tau * frequency / samplerate
			A__       =    sin(__UpperCamelCase					)
			A__       =    cos(__UpperCamelCase					)
			A__       =    _sin / (2 * q_factor)
			A__       =    10 ** (gain_db / 40)
			A__       =    (big_a + 1) - (big_a - 1) * _cos
			A__       =    (big_a + 1) + (big_a - 1) * _cos
			A__       =    (big_a - 1) - (big_a + 1) * _cos
			A__       =    (big_a - 1) + (big_a + 1) * _cos
			A__       =    2 * sqrt(__UpperCamelCase					) * alpha

			A__       =    big_a * (pmc + aaa)
			A__       =    2 * big_a * mpc
			A__       =    big_a * (pmc - aaa)
			A__       =    ppmc + aaa
			A__       =    -2 * pmpc
			A__       =    ppmc - aaa

			A__       =    IIRFilter(2					)
			filt.set_coefficients([aa, aa, aa] ,	[ba, ba, ba]					)
			return filt






def A						(       __UpperCamelCase ,	__UpperCamelCase ,	__UpperCamelCase ,	__UpperCamelCase = 1 / sqrt(2					) ,	)						->      IIRFilter:
			A__       =    tau * frequency / samplerate
			A__       =    sin(__UpperCamelCase					)
			A__       =    cos(__UpperCamelCase					)
			A__       =    _sin / (2 * q_factor)
			A__       =    10 ** (gain_db / 40)
			A__       =    (big_a + 1) - (big_a - 1) * _cos
			A__       =    (big_a + 1) + (big_a - 1) * _cos
			A__       =    (big_a - 1) - (big_a + 1) * _cos
			A__       =    (big_a - 1) + (big_a + 1) * _cos
			A__       =    2 * sqrt(__UpperCamelCase					) * alpha

			A__       =    big_a * (ppmc + aaa)
			A__       =    -2 * big_a * pmpc
			A__       =    big_a * (ppmc - aaa)
			A__       =    pmc + aaa
			A__       =    2 * mpc
			A__       =    pmc - aaa

			A__       =    IIRFilter(2					)
			filt.set_coefficients([aa, aa, aa] ,	[ba, ba, ba]					)
			return filt









import tempfile
import unittest

from make_student import create_student_by_copying_alternating_layers

from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch


SCREAMING_SNAKE_CASE__       =      '''sshleifer/bart-tiny-random'''
SCREAMING_SNAKE_CASE__       =      '''patrickvonplaten/t5-tiny-random'''


@require_torch
class      __lowerCAmelCase     (		unittest.TestCase      ):
					"""simple docstring"""






					@cached_property
					def     _a							(     self					:       Optional[int]					):






								"""simple docstring"""


								return AutoConfig.from_pretrained(_snake_case					)



					def     _a							(     self					:       Optional[Any]					):






								"""simple docstring"""


								A__     , *A__       =    create_student_by_copying_alternating_layers(_snake_case				,					tempfile.mkdtemp()				,					e=1				,					d=1					)
								self.assertEqual(student.config.num_hidden_layers				,					1					)



					def     _a							(     self					:       Optional[int]					):






								"""simple docstring"""


								A__     , *A__       =    create_student_by_copying_alternating_layers(_snake_case				,					tempfile.mkdtemp()				,					e=1				,					d=_snake_case					)



					def     _a							(     self					:       int					):






								"""simple docstring"""


								A__     , *A__       =    create_student_by_copying_alternating_layers(_snake_case				,					tempfile.mkdtemp()				,					e=1				,					d=_snake_case					)
								self.assertEqual(student.config.encoder_layers				,					1					)
								self.assertEqual(student.config.decoder_layers				,					self.teacher_config.encoder_layers					)



					def     _a							(     self					:       str					):






								"""simple docstring"""


								A__     , *A__       =    create_student_by_copying_alternating_layers(_snake_case				,					tempfile.mkdtemp()				,					e=1				,					d=1					)
								self.assertEqual(student.config.encoder_layers				,					1					)
								self.assertEqual(student.config.decoder_layers				,					1					)



					def     _a							(     self					:       str					):






								"""simple docstring"""


								with self.assertRaises(_snake_case					):
											create_student_by_copying_alternating_layers(_snake_case				,					tempfile.mkdtemp()				,					e=_snake_case				,					d=_snake_case					)




