





from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter



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

 UpperCamelCase     : Tuple	     =       (1 - _cos) / 2
 UpperCamelCase     : Tuple	     =       1 - _cos

 UpperCamelCase     : Union[str, Any]	     =       1 + alpha
 UpperCamelCase     : Union[str, Any]	     =       -2 * _cos
 UpperCamelCase     : Optional[Any]	     =       1 - alpha

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



def 		A_    (					_lowerCAmelCase							,       _lowerCAmelCase							,       _lowerCAmelCase = 1 / sqrt(2					)					)						->			IIRFilter:
 UpperCamelCase     : Any	     =       tau * frequency / samplerate
 UpperCamelCase     : int	     =       sin(_lowerCAmelCase					)
 UpperCamelCase     : str	     =       cos(_lowerCAmelCase					)
 UpperCamelCase     : Any	     =       _sin / (2 * q_factor)

 UpperCamelCase     : Optional[int]	     =       (1 + _cos) / 2
 UpperCamelCase     : int	     =       -1 - _cos

 UpperCamelCase     : Tuple	     =       1 + alpha
 UpperCamelCase     : str	     =       -2 * _cos
 UpperCamelCase     : Any	     =       1 - alpha

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



def 		A_    (					_lowerCAmelCase							,       _lowerCAmelCase							,       _lowerCAmelCase = 1 / sqrt(2					)					)						->			IIRFilter:
 UpperCamelCase     : Optional[Any]	     =       tau * frequency / samplerate
 UpperCamelCase     : Tuple	     =       sin(_lowerCAmelCase					)
 UpperCamelCase     : Dict	     =       cos(_lowerCAmelCase					)
 UpperCamelCase     : List[str]	     =       _sin / (2 * q_factor)

 UpperCamelCase     : Dict	     =       _sin / 2
 UpperCamelCase     : List[str]	     =       0
 UpperCamelCase     : Dict	     =       -ba

 UpperCamelCase     : Optional[int]	     =       1 + alpha
 UpperCamelCase     : Optional[int]	     =       -2 * _cos
 UpperCamelCase     : Tuple	     =       1 - alpha

 UpperCamelCase     : Dict	     =       IIRFilter(2					)
 filt.set_coefficients([aa, aa, aa]							,       [ba, ba, ba]					)
 return filt



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

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

 UpperCamelCase     : Any	     =       IIRFilter(2					)
 filt.set_coefficients([ba, ba, ba]							,       [ba, ba, ba]					)
 return filt



def 		A_    (					_lowerCAmelCase							,       _lowerCAmelCase							,       _lowerCAmelCase							,       _lowerCAmelCase = 1 / sqrt(2					)							,       )						->			IIRFilter:
 UpperCamelCase     : str	     =       tau * frequency / samplerate
 UpperCamelCase     : Dict	     =       sin(_lowerCAmelCase					)
 UpperCamelCase     : Dict	     =       cos(_lowerCAmelCase					)
 UpperCamelCase     : List[str]	     =       _sin / (2 * q_factor)
 UpperCamelCase     : List[str]	     =       10 ** (gain_db / 40)

 UpperCamelCase     : str	     =       1 + alpha * big_a
 UpperCamelCase     : Any	     =       -2 * _cos
 UpperCamelCase     : List[str]	     =       1 - alpha * big_a
 UpperCamelCase     : int	     =       1 + alpha / big_a
 UpperCamelCase     : Optional[int]	     =       -2 * _cos
 UpperCamelCase     : Dict	     =       1 - alpha / big_a

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



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

 UpperCamelCase     : Tuple	     =       big_a * (pmc + aaa)
 UpperCamelCase     : Optional[int]	     =       2 * big_a * mpc
 UpperCamelCase     : Any	     =       big_a * (pmc - aaa)
 UpperCamelCase     : int	     =       ppmc + aaa
 UpperCamelCase     : Any	     =       -2 * pmpc
 UpperCamelCase     : Optional[int]	     =       ppmc - aaa

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



def 		A_    (					_lowerCAmelCase							,       _lowerCAmelCase							,       _lowerCAmelCase							,       _lowerCAmelCase = 1 / sqrt(2					)							,       )						->			IIRFilter:
 UpperCamelCase     : Dict	     =       tau * frequency / samplerate
 UpperCamelCase     : int	     =       sin(_lowerCAmelCase					)
 UpperCamelCase     : List[Any]	     =       cos(_lowerCAmelCase					)
 UpperCamelCase     : Tuple	     =       _sin / (2 * q_factor)
 UpperCamelCase     : Optional[Any]	     =       10 ** (gain_db / 40)
 UpperCamelCase     : Tuple	     =       (big_a + 1) - (big_a - 1) * _cos
 UpperCamelCase     : Tuple	     =       (big_a + 1) + (big_a - 1) * _cos
 UpperCamelCase     : List[Any]	     =       (big_a - 1) - (big_a + 1) * _cos
 UpperCamelCase     : List[Any]	     =       (big_a - 1) + (big_a + 1) * _cos
 UpperCamelCase     : Optional[Any]	     =       2 * sqrt(_lowerCAmelCase					) * alpha

 UpperCamelCase     : Tuple	     =       big_a * (ppmc + aaa)
 UpperCamelCase     : List[Any]	     =       -2 * big_a * pmpc
 UpperCamelCase     : Dict	     =       big_a * (ppmc - aaa)
 UpperCamelCase     : Tuple	     =       pmc + aaa
 UpperCamelCase     : Optional[Any]	     =       2 * mpc
 UpperCamelCase     : List[Any]	     =       pmc - aaa

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







from ...configuration_utils import PretrainedConfig
from ...utils import logging


__lowerCamelCase	:					Tuple			  =					logging.get_logger(__name__)



class  A__       (	__snake_case      ):
      _UpperCAmelCase     :List[Any]						   =       'timm_backbone'





      def __init__(			self	,							A_=None	,							A_=3	,							A_=True	,							A_=True	,							A_=None	,							**A_	,							):
       '''simple docstring'''




       super().__init__(**A_       )
       UpperCamelCase     : Tuple	     =       backbone
       UpperCamelCase     : Dict	     =       num_channels
       UpperCamelCase     : Tuple	     =       features_only
       UpperCamelCase     : Optional[int]	     =       use_pretrained_backbone
       UpperCamelCase     : Dict	     =       True
       UpperCamelCase     : List[str]	     =       out_indices if out_indices is not None else (-1,)
