





import torch
import torch.nn as nn
from transformers.modeling_utils import ModuleUtilsMixin
from transformers.models.ta.modeling_ta import TaBlock, TaConfig, TaLayerNorm

from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin

class  __A       (  a      ,   a      ,   a      ):


				@register_to_config
				def __init__(						self				,	UpperCAmelCase_				,	UpperCAmelCase_				,	UpperCAmelCase_				,	UpperCAmelCase_				,	UpperCAmelCase_				,	UpperCAmelCase_				,	UpperCAmelCase_				,	UpperCAmelCase_				,	UpperCAmelCase_				,	UpperCAmelCase_ = False				,	):
								super().__init__()

								lowerCamelCase			=nn.Embedding(UpperCAmelCase_				,	UpperCAmelCase_							)

								lowerCamelCase			=nn.Embedding(UpperCAmelCase_				,	UpperCAmelCase_							)
								lowerCamelCase			=False

								lowerCamelCase			=nn.Dropout(p=UpperCAmelCase_							)

								lowerCamelCase			=TaConfig(
								    vocab_size=UpperCAmelCase_				,	d_model=UpperCAmelCase_				,	num_heads=UpperCAmelCase_				,	d_kv=UpperCAmelCase_				,	d_ff=UpperCAmelCase_				,	dropout_rate=UpperCAmelCase_				,	feed_forward_proj=UpperCAmelCase_				,	is_decoder=UpperCAmelCase_				,	is_encoder_decoder=UpperCAmelCase_				,	)

								lowerCamelCase			=nn.ModuleList()
								for lyr_num in range(UpperCAmelCase_							):
												lowerCamelCase			=TaBlock(UpperCAmelCase_							)
												self.encoders.append(UpperCAmelCase_							)

								lowerCamelCase			=TaLayerNorm(UpperCAmelCase_							)
								lowerCamelCase			=nn.Dropout(p=UpperCAmelCase_							)


				def _snake_case    (						self				,	UpperCAmelCase_				,	UpperCAmelCase_							):
								lowerCamelCase			=self.token_embedder(UpperCAmelCase_							)

								lowerCamelCase			=encoder_input_tokens.shape[1]
								lowerCamelCase			=torch.arange(UpperCAmelCase_				,	device=encoder_input_tokens.device							)
								x += self.position_encoding(UpperCAmelCase_							)

								lowerCamelCase			=self.dropout_pre(UpperCAmelCase_							)

								# inverted the attention mask
								lowerCamelCase			=encoder_input_tokens.size()
								lowerCamelCase			=self.get_extended_attention_mask(UpperCAmelCase_				,	UpperCAmelCase_							)

								for lyr in self.encoders:
												lowerCamelCase			=lyr(UpperCAmelCase_				,	UpperCAmelCase_							)[0]
								lowerCamelCase			=self.layer_norm(UpperCAmelCase_							)

								return self.dropout_post(UpperCAmelCase_							), encoder_inputs_mask












from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter





def        _lowercase   (  _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase = 1 / sqrt(2			)			)  ->					IIRFilter:
				lowerCamelCase			=tau * frequency / samplerate
				lowerCamelCase			=sin(_UpperCAmelCase			)
				lowerCamelCase			=cos(_UpperCAmelCase			)
				lowerCamelCase			=_sin / (2 * q_factor)

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

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

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





def        _lowercase   (  _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase = 1 / sqrt(2			)			)  ->					IIRFilter:
				lowerCamelCase			=tau * frequency / samplerate
				lowerCamelCase			=sin(_UpperCAmelCase			)
				lowerCamelCase			=cos(_UpperCAmelCase			)
				lowerCamelCase			=_sin / (2 * q_factor)

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

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

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





def        _lowercase   (  _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase = 1 / sqrt(2			)			)  ->					IIRFilter:
				lowerCamelCase			=tau * frequency / samplerate
				lowerCamelCase			=sin(_UpperCAmelCase			)
				lowerCamelCase			=cos(_UpperCAmelCase			)
				lowerCamelCase			=_sin / (2 * q_factor)

				lowerCamelCase			=_sin / 2
				lowerCamelCase			=0
				lowerCamelCase			=-ba

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

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





def        _lowercase   (  _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase = 1 / sqrt(2			)			)  ->					IIRFilter:
				lowerCamelCase			=tau * frequency / samplerate
				lowerCamelCase			=sin(_UpperCAmelCase			)
				lowerCamelCase			=cos(_UpperCAmelCase			)
				lowerCamelCase			=_sin / (2 * q_factor)

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

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





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

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

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





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

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

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





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

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

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





