



from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter



def       lowercase       (   SCREAMING_SNAKE_CASE__       :	int				,       SCREAMING_SNAKE_CASE__       :	int				,       SCREAMING_SNAKE_CASE__       :	float = 1 / sqrt(2				)				)  ->     IIRFilter:
 _snake_case    :  int					=					tau * frequency / samplerate
 _snake_case    :  Any					=					sin(SCREAMING_SNAKE_CASE__				)
 _snake_case    :  Any					=					cos(SCREAMING_SNAKE_CASE__				)
 _snake_case    :  Optional[int]					=					_sin / (2 * q_factor)

 _snake_case    :  Tuple					=					(1 - _cos) / 2
 _snake_case    :  List[str]					=					1 - _cos

 _snake_case    :  Dict					=					1 + alpha
 _snake_case    :  Any					=					-2 * _cos
 _snake_case    :  List[str]					=					1 - alpha

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



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

 _snake_case    :  List[str]					=					(1 + _cos) / 2
 _snake_case    :  Any					=					-1 - _cos

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

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



def       lowercase       (   SCREAMING_SNAKE_CASE__       :	int				,       SCREAMING_SNAKE_CASE__       :	int				,       SCREAMING_SNAKE_CASE__       :	float = 1 / sqrt(2				)				)  ->     IIRFilter:
 _snake_case    :  Tuple					=					tau * frequency / samplerate
 _snake_case    :  int					=					sin(SCREAMING_SNAKE_CASE__				)
 _snake_case    :  int					=					cos(SCREAMING_SNAKE_CASE__				)
 _snake_case    :  Dict					=					_sin / (2 * q_factor)

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

 _snake_case    :  Dict					=					1 + alpha
 _snake_case    :  Any					=					-2 * _cos
 _snake_case    :  str					=					1 - alpha

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



def       lowercase       (   SCREAMING_SNAKE_CASE__       :	int				,       SCREAMING_SNAKE_CASE__       :	int				,       SCREAMING_SNAKE_CASE__       :	float = 1 / sqrt(2				)				)  ->     IIRFilter:
 _snake_case    :  int					=					tau * frequency / samplerate
 _snake_case    :  Any					=					sin(SCREAMING_SNAKE_CASE__				)
 _snake_case    :  Optional[Any]					=					cos(SCREAMING_SNAKE_CASE__				)
 _snake_case    :  Dict					=					_sin / (2 * q_factor)

 _snake_case    :  Tuple					=					1 - alpha
 _snake_case    :  Dict					=					-2 * _cos
 _snake_case    :  List[Any]					=					1 + alpha

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



def       lowercase       (   SCREAMING_SNAKE_CASE__       :	int				,       SCREAMING_SNAKE_CASE__       :	int				,       SCREAMING_SNAKE_CASE__       :	float				,       SCREAMING_SNAKE_CASE__       :	float = 1 / sqrt(2				)				,       )  ->     IIRFilter:
 _snake_case    :  Union[str, Any]					=					tau * frequency / samplerate
 _snake_case    :  List[str]					=					sin(SCREAMING_SNAKE_CASE__				)
 _snake_case    :  List[str]					=					cos(SCREAMING_SNAKE_CASE__				)
 _snake_case    :  str					=					_sin / (2 * q_factor)
 _snake_case    :  Any					=					10 ** (gain_db / 40)

 _snake_case    :  str					=					1 + alpha * big_a
 _snake_case    :  Optional[Any]					=					-2 * _cos
 _snake_case    :  Dict					=					1 - alpha * big_a
 _snake_case    :  Dict					=					1 + alpha / big_a
 _snake_case    :  Tuple					=					-2 * _cos
 _snake_case    :  Any					=					1 - alpha / big_a

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



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

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

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



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

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

 _snake_case    :  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_tokenizers_available, is_torch_available


a__    =	{
    """configuration_canine""": ["""CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CanineConfig"""],
    """tokenization_canine""": ["""CanineTokenizer"""],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  a__    =	[
      """CANINE_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """CanineForMultipleChoice""",
      """CanineForQuestionAnswering""",
      """CanineForSequenceClassification""",
      """CanineForTokenClassification""",
      """CanineLayer""",
      """CanineModel""",
      """CaninePreTrainedModel""",
      """load_tf_weights_in_canine""",
  ]


if TYPE_CHECKING:
  from .configuration_canine import CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP, CanineConfig
  from .tokenization_canine import CanineTokenizer

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_canine import (
        CANINE_PRETRAINED_MODEL_ARCHIVE_LIST,
        CanineForMultipleChoice,
        CanineForQuestionAnswering,
        CanineForSequenceClassification,
        CanineForTokenClassification,
        CanineLayer,
        CanineModel,
        CaninePreTrainedModel,
        load_tf_weights_in_canine,
    )


else:
  import sys

  a__    =	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
