from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter




def    lowerCAmelCase_  (		lowercase:				int	,       lowercase:				int	,       lowercase:				float = 1 / sqrt(2		)		)     ->					IIRFilter:







 '''simple docstring'''
 _UpperCamelCase:  List[Any]    						=			tau * frequency / samplerate
 _UpperCamelCase:  Union[str, Any]    						=			sin(lowercase		)
 _UpperCamelCase:  Dict    						=			cos(lowercase		)
 _UpperCamelCase:  str    						=			_sin / (2 * q_factor)

 _UpperCamelCase:  Dict    						=			(1 - _cos) / 2
 _UpperCamelCase:  Dict    						=			1 - _cos

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

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




def    lowerCAmelCase_  (		lowercase:				int	,       lowercase:				int	,       lowercase:				float = 1 / sqrt(2		)		)     ->					IIRFilter:







 '''simple docstring'''
 _UpperCamelCase:  Union[str, Any]    						=			tau * frequency / samplerate
 _UpperCamelCase:  Dict    						=			sin(lowercase		)
 _UpperCamelCase:  List[Any]    						=			cos(lowercase		)
 _UpperCamelCase:  Optional[int]    						=			_sin / (2 * q_factor)

 _UpperCamelCase:  Optional[Any]    						=			(1 + _cos) / 2
 _UpperCamelCase:  Tuple    						=			-1 - _cos

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

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




def    lowerCAmelCase_  (		lowercase:				int	,       lowercase:				int	,       lowercase:				float = 1 / sqrt(2		)		)     ->					IIRFilter:







 '''simple docstring'''
 _UpperCamelCase:  Optional[int]    						=			tau * frequency / samplerate
 _UpperCamelCase:  int    						=			sin(lowercase		)
 _UpperCamelCase:  Union[str, Any]    						=			cos(lowercase		)
 _UpperCamelCase:  str    						=			_sin / (2 * q_factor)

 _UpperCamelCase:  List[str]    						=			_sin / 2
 _UpperCamelCase:  List[str]    						=			0
 _UpperCamelCase:  int    						=			-ba

 _UpperCamelCase:  List[Any]    						=			1 + alpha
 _UpperCamelCase:  Optional[int]    						=			-2 * _cos
 _UpperCamelCase:  Dict    						=			1 - alpha

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




def    lowerCAmelCase_  (		lowercase:				int	,       lowercase:				int	,       lowercase:				float = 1 / sqrt(2		)		)     ->					IIRFilter:







 '''simple docstring'''
 _UpperCamelCase:  Optional[int]    						=			tau * frequency / samplerate
 _UpperCamelCase:  List[str]    						=			sin(lowercase		)
 _UpperCamelCase:  Dict    						=			cos(lowercase		)
 _UpperCamelCase:  int    						=			_sin / (2 * q_factor)

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

 _UpperCamelCase:  List[str]    						=			IIRFilter(2		)
 filt.set_coefficients([ba, ba, ba]	,       [ba, ba, ba]		)
 return filt




def    lowerCAmelCase_  (		lowercase:				int	,       lowercase:				int	,       lowercase:				float	,       lowercase:				float = 1 / sqrt(2		)	,       )     ->					IIRFilter:







 '''simple docstring'''
 _UpperCamelCase:  int    						=			tau * frequency / samplerate
 _UpperCamelCase:  Union[str, Any]    						=			sin(lowercase		)
 _UpperCamelCase:  Any    						=			cos(lowercase		)
 _UpperCamelCase:  str    						=			_sin / (2 * q_factor)
 _UpperCamelCase:  List[Any]    						=			10 ** (gain_db / 40)

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

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




def    lowerCAmelCase_  (		lowercase:				int	,       lowercase:				int	,       lowercase:				float	,       lowercase:				float = 1 / sqrt(2		)	,       )     ->					IIRFilter:







 '''simple docstring'''
 _UpperCamelCase:  Dict    						=			tau * frequency / samplerate
 _UpperCamelCase:  Union[str, Any]    						=			sin(lowercase		)
 _UpperCamelCase:  Tuple    						=			cos(lowercase		)
 _UpperCamelCase:  Any    						=			_sin / (2 * q_factor)
 _UpperCamelCase:  Optional[int]    						=			10 ** (gain_db / 40)
 _UpperCamelCase:  Dict    						=			(big_a + 1) - (big_a - 1) * _cos
 _UpperCamelCase:  Dict    						=			(big_a + 1) + (big_a - 1) * _cos
 _UpperCamelCase:  str    						=			(big_a - 1) - (big_a + 1) * _cos
 _UpperCamelCase:  Any    						=			(big_a - 1) + (big_a + 1) * _cos
 _UpperCamelCase:  Tuple    						=			2 * sqrt(lowercase		) * alpha

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

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





def    lowerCAmelCase_  (		lowercase:				int	,       lowercase:				int	,       lowercase:				float	,       lowercase:				float = 1 / sqrt(2		)	,       )     ->					IIRFilter:







 '''simple docstring'''
 _UpperCamelCase:  Optional[Any]    						=			tau * frequency / samplerate
 _UpperCamelCase:  List[Any]    						=			sin(lowercase		)
 _UpperCamelCase:  Union[str, Any]    						=			cos(lowercase		)
 _UpperCamelCase:  Any    						=			_sin / (2 * q_factor)
 _UpperCamelCase:  int    						=			10 ** (gain_db / 40)
 _UpperCamelCase:  int    						=			(big_a + 1) - (big_a - 1) * _cos
 _UpperCamelCase:  Optional[Any]    						=			(big_a + 1) + (big_a - 1) * _cos
 _UpperCamelCase:  str    						=			(big_a - 1) - (big_a + 1) * _cos
 _UpperCamelCase:  Any    						=			(big_a - 1) + (big_a + 1) * _cos
 _UpperCamelCase:  List[Any]    						=			2 * sqrt(lowercase		) * alpha

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

 _UpperCamelCase:  Any    						=			IIRFilter(2		)
 filt.set_coefficients([aa, aa, aa]	,       [ba, ba, ba]		)
 return filt
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


UpperCAmelCase_           =				{
    '''configuration_mega''': ['''MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MegaConfig''', '''MegaOnnxConfig'''],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase_           =				[
      '''MEGA_PRETRAINED_MODEL_ARCHIVE_LIST''',
      '''MegaForCausalLM''',
      '''MegaForMaskedLM''',
      '''MegaForMultipleChoice''',
      '''MegaForQuestionAnswering''',
      '''MegaForSequenceClassification''',
      '''MegaForTokenClassification''',
      '''MegaModel''',
      '''MegaPreTrainedModel''',
  ]

if TYPE_CHECKING:
  from .configuration_mega import MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP, MegaConfig, MegaOnnxConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_mega import (
        MEGA_PRETRAINED_MODEL_ARCHIVE_LIST,
        MegaForCausalLM,
        MegaForMaskedLM,
        MegaForMultipleChoice,
        MegaForQuestionAnswering,
        MegaForSequenceClassification,
        MegaForTokenClassification,
        MegaModel,
        MegaPreTrainedModel,
    )

else:
  import sys

  UpperCAmelCase_           =				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)