def Sum_test(): import numpy as np from ATK.Core import DoubleInPointerFilter, DoubleOutPointerFilter from ATK.Tools import DoubleSumFilter from numpy.testing import assert_almost_equal t = np.arange(1000, dtype=np.float64) input = np.sin(np.array((t, t)) * 1000 * 2 * np.pi / 48000) output = np.ascontiguousarray(np.zeros(1000, dtype=np.float64)[None,:]) inputfilter = DoubleInPointerFilter(input, False) sumfilter = DoubleSumFilter() outputfilter = DoubleOutPointerFilter(output, False) inputfilter.set_output_sampling_rate(48000) sumfilter.set_input_sampling_rate(48000) outputfilter.set_input_sampling_rate(48000) sumfilter.set_input_port(0, inputfilter, 0) sumfilter.set_input_port(1, inputfilter, 1) outputfilter.set_input_port(0, sumfilter, 0) outputfilter.process(1000) assert_almost_equal(2*input[0], output[0])
def Sum_test():
import numpy as np
from ATK.Core import DoubleInPointerFilter, DoubleOutPointerFilter
from ATK.Tools import DoubleSumFilter
from numpy.testing import assert_almost_equal
t = np.arange(1000, dtype=np.float64)
input = np.sin(np.array((t, t)) * 1000 * 2 * np.pi / 48000)
output = np.ascontiguousarray(np.zeros(1000, dtype=np.float64)[None, :])
inputfilter = DoubleInPointerFilter(input, False)
sumfilter = DoubleSumFilter()
outputfilter = DoubleOutPointerFilter(output, False)
inputfilter.output_sampling_rate = 48000
sumfilter.input_sampling_rate = 48000
outputfilter.input_sampling_rate = 48000
sumfilter.set_input_port(0, inputfilter, 0)
sumfilter.set_input_port(1, inputfilter, 1)
outputfilter.set_input_port(0, sumfilter, 0)
outputfilter.process(1000)
assert_almost_equal(2 * input[0], output[0])
fastattackreleasefilter.set_input_port(0, powerfilter, 0) fastattackreleasefilter.set_attack(np.exp(-1 / (sampling_rate * 1e-3))) fastattackreleasefilter.set_release(np.exp(-1 / (sampling_rate * 50.e-3))) slowattackreleasefilter = DoubleAttackReleaseFilter(1) slowattackreleasefilter.set_input_sampling_rate(sampling_rate) slowattackreleasefilter.set_input_port(0, powerfilter, 0) slowattackreleasefilter.set_attack(np.exp(-1 / (sampling_rate * 5e-3))) slowattackreleasefilter.set_release(np.exp(-1 / (sampling_rate * 50.e-3))) volumefilter = DoubleVolumeFilter(1) volumefilter.set_input_sampling_rate(sampling_rate) volumefilter.set_volume(-1) volumefilter.set_input_port(0, slowattackreleasefilter, 0) sumfilter = DoubleSumFilter() sumfilter.set_input_sampling_rate(sampling_rate) sumfilter.set_input_port(0, fastattackreleasefilter, 0) sumfilter.set_input_port(1, volumefilter, 0) gainfilter = DoubleGainCompressorFilter(1) gainfilter.set_input_sampling_rate(sampling_rate) gainfilter.set_input_port(0, sumfilter, 0) gainfilter.set_threshold(.002) gainfilter.set_ratio(.7) gainfilter.set_softness(1) applygainfilter = DoubleApplyGainFilter(1) applygainfilter.set_input_sampling_rate(sampling_rate) applygainfilter.set_input_port(0, gainfilter, 0) applygainfilter.set_input_port(1, infilter, 0)
fastattackreleasefilter.set_input_port(0, powerfilter, 0) fastattackreleasefilter.set_attack(np.exp(-1/(sampling_rate*1e-3))) fastattackreleasefilter.set_release(np.exp(-1/(sampling_rate*50.e-3))) slowattackreleasefilter = DoubleAttackReleaseFilter(1) slowattackreleasefilter.set_input_sampling_rate(sampling_rate) slowattackreleasefilter.set_input_port(0, powerfilter, 0) slowattackreleasefilter.set_attack(np.exp(-1/(sampling_rate*5e-3))) slowattackreleasefilter.set_release(np.exp(-1/(sampling_rate*50.e-3))) volumefilter = DoubleVolumeFilter(1) volumefilter.set_input_sampling_rate(sampling_rate) volumefilter.set_volume(-1) volumefilter.set_input_port(0, slowattackreleasefilter, 0) sumfilter = DoubleSumFilter() sumfilter.set_input_sampling_rate(sampling_rate) sumfilter.set_input_port(0, fastattackreleasefilter, 0) sumfilter.set_input_port(1, volumefilter, 0) gainfilter = DoubleGainCompressorFilter(1) gainfilter.set_input_sampling_rate(sampling_rate) gainfilter.set_input_port(0, sumfilter, 0) gainfilter.set_threshold(.01) gainfilter.set_ratio(.7) gainfilter.set_softness(1) applygainfilter = DoubleApplyGainFilter(1) applygainfilter.set_input_sampling_rate(sampling_rate) applygainfilter.set_input_port(0, gainfilter, 0) applygainfilter.set_input_port(1, infilter, 0)
def filter(input, blend=0, feedback=0, feedforward=1):
import numpy as np
output1 = np.zeros(input.shape, dtype=np.float64)
output2 = np.zeros(input.shape, dtype=np.float64)
infilter = DoubleInPointerFilter(input, False)
infilter.set_input_sampling_rate(sample_rate)
allpass1filter = DoubleCustomIIRFilter()
allpass1filter.set_input_sampling_rate(sample_rate)
allpass1filter.set_input_port(0, infilter, 0)
allpass1filter.set_coefficients_in(
(0.0000, 0.3855, 0.0000, 1.3313, 0.0000, 1.0000)[::-1])
allpass1filter.set_coefficients_out(
(-0.0000, -1.3313, 0.0000, -0.3855, 0)[::-1])
allpass2filter = DoubleCustomIIRFilter()
allpass2filter.set_input_sampling_rate(sample_rate)
allpass2filter.set_input_port(0, infilter, 0)
allpass2filter.set_coefficients_in(
(0.0947, 0.0000, 0.8335, 0.0000, 1.0000)[::-1])
allpass2filter.set_coefficients_out(
(0.0000, -0.8335, 0.0000, -0.0947)[::-1])
sinusfilter = DoubleCachedSinusGeneratorFilter(100, 1)
sinusfilter.set_input_sampling_rate(sample_rate)
cosinusfilter = DoubleCachedCosinusGeneratorFilter(100, 1)
cosinusfilter.set_input_sampling_rate(sample_rate)
applygainFilter = DoubleApplyGainFilter(2)
applygainFilter.set_input_sampling_rate(sample_rate)
applygainFilter.set_input_port(0, allpass1filter, 0)
applygainFilter.set_input_port(1, sinusfilter, 0)
applygainFilter.set_input_port(2, allpass2filter, 0)
applygainFilter.set_input_port(3, cosinusfilter, 0)
volumeFilter = DoubleVolumeFilter()
volumeFilter.set_input_sampling_rate(sample_rate)
volumeFilter.set_volume(-1)
volumeFilter.set_input_port(0, applygainFilter, 1)
sum1Filter = DoubleSumFilter()
sum1Filter.set_input_sampling_rate(sample_rate)
sum1Filter.set_input_port(0, applygainFilter, 0)
sum1Filter.set_input_port(1, volumeFilter, 0)
sum2Filter = DoubleSumFilter()
sum2Filter.set_input_sampling_rate(sample_rate)
sum2Filter.set_input_port(0, applygainFilter, 0)
sum2Filter.set_input_port(1, applygainFilter, 1)
out1filter = DoubleOutPointerFilter(output1, False)
out1filter.set_input_sampling_rate(sample_rate)
out1filter.set_input_port(0, sum1Filter, 0)
out2filter = DoubleOutPointerFilter(output2, False)
out2filter.set_input_sampling_rate(sample_rate)
out2filter.set_input_port(0, sum2Filter, 0)
pipelinesink = PipelineGlobalSinkFilter()
pipelinesink.set_input_sampling_rate(sample_rate)
pipelinesink.add_filter(out1filter)
pipelinesink.add_filter(out2filter)
pipelinesink.process(input.shape[1])
return output1, output2
def filter(input, blend=0, feedback=0, feedforward=1): import numpy as np output1 = np.zeros(input.shape, dtype=np.float64) output2 = np.zeros(input.shape, dtype=np.float64) infilter = DoubleInPointerFilter(input, False) infilter.set_input_sampling_rate(sample_rate) allpass1filter = DoubleCustomIIRFilter() allpass1filter.set_input_sampling_rate(sample_rate) allpass1filter.set_input_port(0, infilter, 0) allpass1filter.set_coefficients_in((0.0000, 0.3855, 0.0000, 1.3313, 0.0000, 1.0000)[::-1]) allpass1filter.set_coefficients_out((-0.0000, -1.3313, 0.0000, -0.3855, 0)[::-1]) allpass2filter = DoubleCustomIIRFilter() allpass2filter.set_input_sampling_rate(sample_rate) allpass2filter.set_input_port(0, infilter, 0) allpass2filter.set_coefficients_in((0.0947, 0.0000, 0.8335, 0.0000, 1.0000)[::-1]) allpass2filter.set_coefficients_out((0.0000, -0.8335, 0.0000, -0.0947)[::-1]) sinusfilter = DoubleCachedSinusGeneratorFilter(100, 1) sinusfilter.set_input_sampling_rate(sample_rate) cosinusfilter = DoubleCachedCosinusGeneratorFilter(100, 1) cosinusfilter.set_input_sampling_rate(sample_rate) applygainFilter = DoubleApplyGainFilter(2) applygainFilter.set_input_sampling_rate(sample_rate) applygainFilter.set_input_port(0, allpass1filter, 0) applygainFilter.set_input_port(1, sinusfilter, 0) applygainFilter.set_input_port(2, allpass2filter, 0) applygainFilter.set_input_port(3, cosinusfilter, 0) volumeFilter = DoubleVolumeFilter() volumeFilter.set_input_sampling_rate(sample_rate) volumeFilter.set_volume(-1) volumeFilter.set_input_port(0, applygainFilter, 1) sum1Filter = DoubleSumFilter() sum1Filter.set_input_sampling_rate(sample_rate) sum1Filter.set_input_port(0, applygainFilter, 0) sum1Filter.set_input_port(1, volumeFilter, 0) sum2Filter = DoubleSumFilter() sum2Filter.set_input_sampling_rate(sample_rate) sum2Filter.set_input_port(0, applygainFilter, 0) sum2Filter.set_input_port(1, applygainFilter, 1) out1filter = DoubleOutPointerFilter(output1, False) out1filter.set_input_sampling_rate(sample_rate) out1filter.set_input_port(0, sum1Filter, 0) out2filter = DoubleOutPointerFilter(output2, False) out2filter.set_input_sampling_rate(sample_rate) out2filter.set_input_port(0, sum2Filter, 0) pipelinesink = PipelineGlobalSinkFilter() pipelinesink.set_input_sampling_rate(sample_rate) pipelinesink.add_filter(out1filter) pipelinesink.add_filter(out2filter) pipelinesink.process(input.shape[1]) return output1, output2
