






'''simple docstring'''

from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter






def 	_UpperCAmelCase    (  a		:	int						,			a		:	int						,			a		:	float = 1 / sqrt(2							)							)			->			IIRFilter:





						"""simple docstring"""
						lowercase_      :   str        =			tau * frequency / samplerate
						lowercase_      :   Tuple        =			sin(a							)
						lowercase_      :   List[str]        =			cos(a							)
						lowercase_      :   str        =			_sin / (2 * q_factor)

						lowercase_      :   Tuple        =			(1 - _cos) / 2
						lowercase_      :   Any        =			1 - _cos

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

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






def 	_UpperCAmelCase    (  a		:	int						,			a		:	int						,			a		:	float = 1 / sqrt(2							)							)			->			IIRFilter:





						"""simple docstring"""
						lowercase_      :   List[str]        =			tau * frequency / samplerate
						lowercase_      :   Optional[int]        =			sin(a							)
						lowercase_      :   Dict        =			cos(a							)
						lowercase_      :   List[str]        =			_sin / (2 * q_factor)

						lowercase_      :   Any        =			(1 + _cos) / 2
						lowercase_      :   Any        =			-1 - _cos

						lowercase_      :   int        =			1 + alpha
						lowercase_      :   Dict        =			-2 * _cos
						lowercase_      :   Dict        =			1 - alpha

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






def 	_UpperCAmelCase    (  a		:	int						,			a		:	int						,			a		:	float = 1 / sqrt(2							)							)			->			IIRFilter:





						"""simple docstring"""
						lowercase_      :   Optional[Any]        =			tau * frequency / samplerate
						lowercase_      :   List[Any]        =			sin(a							)
						lowercase_      :   Any        =			cos(a							)
						lowercase_      :   List[str]        =			_sin / (2 * q_factor)

						lowercase_      :   List[Any]        =			_sin / 2
						lowercase_      :   Optional[int]        =			0
						lowercase_      :   Dict        =			-ba

						lowercase_      :   Optional[Any]        =			1 + alpha
						lowercase_      :   Dict        =			-2 * _cos
						lowercase_      :   str        =			1 - alpha

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






def 	_UpperCAmelCase    (  a		:	int						,			a		:	int						,			a		:	float = 1 / sqrt(2							)							)			->			IIRFilter:





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

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

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






def 	_UpperCAmelCase    (  a		:	int						,			a		:	int						,			a		:	float						,			a		:	float = 1 / sqrt(2							)						,			)			->			IIRFilter:





						"""simple docstring"""
						lowercase_      :   Dict        =			tau * frequency / samplerate
						lowercase_      :   Optional[Any]        =			sin(a							)
						lowercase_      :   Any        =			cos(a							)
						lowercase_      :   str        =			_sin / (2 * q_factor)
						lowercase_      :   List[str]        =			1_0 ** (gain_db / 4_0)

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

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






def 	_UpperCAmelCase    (  a		:	int						,			a		:	int						,			a		:	float						,			a		:	float = 1 / sqrt(2							)						,			)			->			IIRFilter:





						"""simple docstring"""
						lowercase_      :   Tuple        =			tau * frequency / samplerate
						lowercase_      :   Union[str, Any]        =			sin(a							)
						lowercase_      :   Any        =			cos(a							)
						lowercase_      :   Optional[int]        =			_sin / (2 * q_factor)
						lowercase_      :   str        =			1_0 ** (gain_db / 4_0)
						lowercase_      :   str        =			(big_a + 1) - (big_a - 1) * _cos
						lowercase_      :   Any        =			(big_a + 1) + (big_a - 1) * _cos
						lowercase_      :   List[str]        =			(big_a - 1) - (big_a + 1) * _cos
						lowercase_      :   Any        =			(big_a - 1) + (big_a + 1) * _cos
						lowercase_      :   List[str]        =			2 * sqrt(a							) * alpha

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

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






def 	_UpperCAmelCase    (  a		:	int						,			a		:	int						,			a		:	float						,			a		:	float = 1 / sqrt(2							)						,			)			->			IIRFilter:





						"""simple docstring"""
						lowercase_      :   str        =			tau * frequency / samplerate
						lowercase_      :   str        =			sin(a							)
						lowercase_      :   Tuple        =			cos(a							)
						lowercase_      :   Tuple        =			_sin / (2 * q_factor)
						lowercase_      :   int        =			1_0 ** (gain_db / 4_0)
						lowercase_      :   Tuple        =			(big_a + 1) - (big_a - 1) * _cos
						lowercase_      :   str        =			(big_a + 1) + (big_a - 1) * _cos
						lowercase_      :   Optional[Any]        =			(big_a - 1) - (big_a + 1) * _cos
						lowercase_      :   str        =			(big_a - 1) + (big_a + 1) * _cos
						lowercase_      :   Tuple        =			2 * sqrt(a							) * alpha

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

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








'''simple docstring'''

from typing import TYPE_CHECKING

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


A:      int  				=				{
    "configuration_trajectory_transformer": [
        "TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TrajectoryTransformerConfig",
    ],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						A:      Union[str, Any]  				=				[
						    "TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "TrajectoryTransformerModel",
						    "TrajectoryTransformerPreTrainedModel",
						    "load_tf_weights_in_trajectory_transformer",
						]


if TYPE_CHECKING:
						from .configuration_trajectory_transformer import (
						    TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    TrajectoryTransformerConfig,
						)

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_trajectory_transformer import (
												    TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TrajectoryTransformerModel,
												    TrajectoryTransformerPreTrainedModel,
												    load_tf_weights_in_trajectory_transformer,
												)


else:
						import sys

						A:      int  				=				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
