annotate examples/sound/sampled/args.old @ 0:bf79fb79ee13

Initial Mercurial check in.

#properties
#Thu Jul 14 12:56:51 BST 2011
function.derivative.plotter.window.bounds=(375,357,426,239)
sqrt.plotter.window.bounds=(0,0,208,122)
waveform.image.cell.size=1
joint.histogram.map.minimum=20.000
stacker.output.reshaped.image.map.minimum=0.1
editor.plotter.type=4
mog.weights.learn.rate=1.2E-4
coder.A.editor.window.bounds=(562,376,211,247)
vodka.jelly=woozy
scaler.offset=-451.602
decay=0.995
mog.sigmas.image.window.bounds=(301,388,219,108)
coeff.editor.plotter.window.bounds=(0,0,214,494)
filter.waveform.scaler.scale=0.080
mog.means.rowcolumn.editor.plotter.window.bounds=(617,334,265,114)
logprior.beta=0.01
vector.editor.plotter.window.bounds=(20,218,362,178)
shortspec.trace.window.bounds=(0,0,264,278)
normaliser.signal.plotter.map.maximum=6.0
director.bounds=(704,182,444,278)
ft.mag.plotter.window.bounds=(382,298,264,120)
ETA=0.75
spectrum.stats.covariance.image.window.bounds=(523,366,256,278)
basis.subrate.factor=10
x.editor.image.window.bounds=(0,0,230,59)
filter.ft.mag.trace.window.bounds=(334,0,264,280)
phi.plotter.window.bounds=(0,0,520,118)
mog.weight.editor.window.bounds=(302,548,504,116)
stacker.target.reshaped.image.map.minimum=5.0E-4
ica.s.image.window.bounds=(876,426,264,49)
v2.y.image.window.bounds=(559,525,221,65)
signal.map.minimum=-1.0
normaliser.signal.plotter.window.bounds=(505,372,512,113)
function.derivative.plotter.y.map.minimum=-1.28
sig.trace.map.symmetric=false
z.plotter.window.bounds=(0,0,214,138)
spectrum.trace.map.symmetric=false
xtol=0.001
mog.likelihood.map.symmetric=false
ica.E(x).trace.window.bounds=(876,336,264,86)
out.image.window.bounds=(497,548,268,67)
midiin.editor.image.window.bounds=(309,502,444,71)
scaler.scale.trace.map.minimum=-0.0
mog.weights.editor.plotter.map.symmetric=false
matrix.file=walking_zither2
thread.priority=-0.1
mog.means.editor.plotter.window.bounds=(300,313,224,178)
spoon=58
B.editor.window.bounds=(209,223,199,249)
file=walking_zither2
mog.likelihood.trace.window.bounds=(309,725,428,178)
mixture.gauss2.variance=0.8
sig.trace.map.maximum=2.999
signalBlock.trace.window.bounds=(373,457,264,49)
E.trace.map.minimum=0.0
batch=512
buffer(Product(filter(sqrt(filter(wavetable))),Gaussian)).plotter.window.bounds=(416,491,264,120)
mog.p.editor.plotter.window.bounds=(0,0,214,138)
mog.weights.editor.image.window.bounds=(25,172,333,118)
normaliser.level.trace.map.minimum=15.999
MidiSynthEditor.bounds=(-8,226,391,230)
waveform.scaler.batch=8
B.image.window.bounds=(0,0,146,54)
joint.histogram.likelihood.trace.window.bounds=(84,573,293,96)
matrix.editor.window.bounds=(660,438,186,213)
XEPS=1.0E-6
spoons=true
mog.sigmas.editor.image.window.bounds=(238,1,270,125)
z.trace.window.bounds=(5,696,1036,292)
function.plotter.y.map.maximum=1.099
signal.trace.window.bounds=(21,69,290,147)
ica.<phi(s)s'>.image.window.bounds=(264,0,264,278)
waveform.trace.window.bounds=(1010,234,264,534)
waveform.scaler.output.plotter.window.bounds=(627,566,264,75)
sig1.trace.window.bounds=(400,408,287,145)
coder.L.trace.window.bounds=(0,0,264,86)
filter.waveform.scaler.offset=-0.010
scaleNormaliser.output.trace.window.bounds=(272,281,264,278)
filter.ft.mag.plotter.window.bounds=(382,298,264,120)
z.histogram.bins.plotter.window.bounds=(607,461,214,138)
filter.ft.mag.diffScaler.output.plotter.window.bounds=(352,166,520,120)
plotter.type=0
spectrum.stats.cov.image.window.bounds=(9,449,256,278)
filter.mean.image.window.bounds=(765,605,146,59)
scaleNormaliser.output.plotter.window.bounds=(0,0,264,118)
loudness.plotter.window.bounds=(387,18,146,150)
ftol=1.0E-6
waveform.scaler.offset=1.554E-4
image.width=256
playlist.bounds=(0,0,415,185)
genexp.plotter.window.bounds=(0,12,617,307)
matrix.editor.button1=2.0
learn.G.image.window.bounds=(264,0,264,278)
g.plotter.window.bounds=(627,645,524,88)
signalBlock.plotter.window.bounds=(669,409,149,145)
x.editor.plotter.window.bounds=(360,621,268,91)
vector.editor.image.button1=0.1
x.plotter.window.bounds=(471,759,419,126)
normaliser.mean.trace.window.bounds=(891,156,265,70)
console.frame.bounds=(128,657,301,51)
spectrum.trace.map.maximum=153.6
stacker.output.image.map.minimum=0.089
out.plotter.window.bounds=(20,124,623,115)
function.derivative.plotter.x.map.maximum=4.0
file.bounds=(111,141,520,341)
mog.p.plotter.window.bounds=(0,0,235,98)
Likelihood.trace.window.bounds=(310,509,423,213)
color.title=Color
filter.residual.image.window.bounds=(878,524,146,63)
v2.A.editor.window.bounds=(0,0,243,306)
ft.mag.diffScaler.w.file=diffscaler.w
MidiSynth.bounds=(2,61,455,148)
plotter.y.map.symmetric=false
signalBlock.image.window.bounds=(700,431,86,49)
phi(x).plotter.window.bounds=(360,522,264,118)
flush.subrate.factor=1000
genexp.derivative.plotter.window.bounds=(91,334,444,320)
ica.W.rowcolumn.plotter.window.bounds=(104,451,510,118)
waveform.linetrace.window.bounds=(268,358,227,284)
matrix.rowcolumn.trace.window.bounds=(176,395,241,294)
coeffs.editor.image.window.bounds=(530,731,273,103)
filter.waveform.scaler.output.plotter.window.bounds=(627,566,264,175)
v1.y.image.window.bounds=(558,454,223,67)
ft.mag.diffScaler.output.stacker.output.reshaped.image.map.maximum=200.0
ft.mag.diffScaler.batch=16
cell.size=1
scaler.output.trace.window.bounds=(0,461,264,278)
function.plotter.window.bounds=(375,90,416,263)
sqrt.trace.window.bounds=(0,0,264,534)
z.image.window.bounds=(479,637,268,40)
vector.plotter.window.bounds=(498,531,302,121)
audio.rate=22050
waveform.image.window.bounds=(103,503,1038,58)
midisynth.offset=32
ZETA=0.125
ica.rate=0.04
matrix.plotter.window.bounds=(0,0,212,136)
ft.mag.diffScaler.w.plotter.window.bounds=(304,298,264,120)
stacker.output.reshaped.image.window.bounds=(303,249,264,49)
outbuf.plotter.window.bounds=(202,728,242,141)
mouse.exposed.bounds=(860,192,188,120)
v2.x.image.window.bounds=(625,587,236,63)
coder.W.image.window.bounds=(0,90,264,278)
scaler.scale.trace.window.bounds=(0,-1,264,86)
mog.means.image.window.bounds=(301,283,224,103)
gtol=0.01
mog.-log\ p(s).trace.window.bounds=(310,291,423,216)
mog.weight.image.window.bounds=(412,259,221,103)
ica.g.plotter.window.bounds=(360,278,264,118)
waveform.scaler.offsetRate=3.2E-6
jelly.bounds=(369,132,270,294)
waveform.plotter.map.symmetric=true
e.plotter.window.bounds=(34,408,520,118)
mog.sigmas.editor.plotter.map.symmetric=false
lineout.scale.bounds=(307,0,199,57)
mog.sigmas.learn.rate=2.0E-4
normaliser.level=693.855
E.trace.window.bounds=(0,371,264,86)
mog.means.learn.rate=0.001
filter.waveform.scaler.batch=16
matrix.plotter.rowcolumn.image.window.bounds=(318,43,268,40)
joint.histogram.map.maximum=10000.0
stacker.output.reshaped.image.map.maximum=100.0
Image\ Viewer.bounds=(759,485,243,264)
ica.C.rowcolumn.plotter.window.bounds=(521,856,525,118)
energy.trace.window.bounds=(575,749,584,178)
spectrum.editor.plotter.window.bounds=(282,31,583,169)
ica.W.file=wave-256-ica
matrix.rowcolumn.image.window.bounds=(417,470,266,55)
GEPS=0.001
x.histogram.bins.image.window.bounds=(693,378,146,115)
sqrt.image.window.bounds=(250,621,520,49)
ica.W.image.window.bounds=(780,524,264,278)
writer.enable=false
ica.L.trace.map.maximum=2000.0
audio.buffer=8192
buffer(oscillator).plotter.window.bounds=(303,0,520,120)
filter.waveform.scaler.offsetRate=3.2E-6
ica.G.plotter.window.bounds=(318,173,264,118)
lineout.scale=1.0
Tasks.bounds=(19,571,206,152)
vector.editor.window.bounds=(497,165,268,87)
stacker.target.reshaped.image.map.maximum=5.0
FIR.coefficients.plotter.window.bounds=(397,315,475,142)
mog.state.image.window.bounds=(470,885,419,91)
signal.map.maximum=1.0
spectrum.editor.image.window.bounds=(126,215,823,135)
ica.learn.G.image.window.bounds=(916,91,264,278)
scaler.scaleRate=-0.010
subrate.factor=1
mog.-log\ p(s).image.window.bounds=(0,0,146,39)
spectrum.histogram.bins.rowcolumn.plotter.window.bounds=(948,487,208,122)
ft.mag.diffScaler.stretch=0.001
logprior.derivative.plotter.window.bounds=(0,0,254,158)
E(x).trace.window.bounds=(891,246,264,86)
test.spam=true
sig.trace.window.bounds=(85,678,434,95)
mixture.gauss2.mean=0.2
waveform.scaler.scaleRate=0.01
scaler.offset.trace.window.bounds=(360,196,264,86)
energy.plotter.window.bounds=(0,0,206,134)
matrix.image.window.bounds=(420,169,268,292)
normaliser.signal.image.window.bounds=(505,350,513,51)
output.plotter.window.bounds=(352,166,520,120)
signal.trace.map.maximum=1.0
playlist.files='("/Users/samer/Music/Bach/inv2part.wav" "/Users/samer/Music/Bach/inv3part.wav")
mixture.gauss1.variance=0.1
matrix.rowcolumn.editor.image.window.bounds=(394,259,409,95)
mog.means.editor.window.bounds=(304,433,505,113)
E.trace.map.maximum=1280.0
ft-magnitude.trace.window.bounds=(4,22,256,534)
ica.L.trace.window.bounds=(876,336,264,86)
normaliser.level.trace.map.maximum=6399.999
histogram.likelihood.trace.window.bounds=(891,336,264,278)
regulated=true
mog.p(s|x).image.window.bounds=(189,455,146,212)
ica.learn.rate=0.012
normaliser.level.trace.window.bounds=(891,85,266,67)
y.image.window.bounds=(562,306,180,71)
playlist.current=/mnt/sauce/music/Bach/wav/inv3part.wav
w1.color.bounds=(365,495,381,382)
mog.means.plotter.window.bounds=(0,0,214,138)
filter.residual.histogram.bins.image.window.bounds=(690,367,166,130)
directory=/mnt/sauce/music/Bach/wav
mog.p.editor.image.window.bounds=(0,0,297,100)
size=1024
linebuf.plotter.window.bounds=(39,125,798,142)
coder.learn.deltas.image.window.bounds=(264,90,264,278)
bits.image.window.bounds=(248,688,117,49)
v1.e.image.window.bounds=(0,0,146,47)
scaleNormaliser.scale.plotter.window.bounds=(0,0,264,118)
pdf.plotter.window.bounds=(591,692,254,158)
mog.sigmas.editor.window.bounds=(304,304,503,129)
trace.scrollStep=1
buffer(filter(wavetable)).plotter.window.bounds=(4,22,520,120)
x^2.plotter.window.bounds=(0,0,418,134)
mouse.y.trace.window.bounds=(536,252,260,164)
midiin.image.window.bounds=(444,540,270,58)
histogram.bins.rowcolumn.plotter.window.bounds=(891,618,208,122)
logprior.strength=0.0
audio.exposed.bounds=(980,190,229,372)
ica.s.plotter.window.bounds=(151,296,264,118)
exposed.bounds=(4,22,302,778)
noise=(Gaussian.)
audio.offset=-507.6
step=384
sig.trace.map.minimum=0.002
e(x).plotter.window.bounds=(360,644,264,118)
table.editor.plotter.window.bounds=(237,265,423,246)
directory.bounds=(698,81,443,295)
normaliser.signal.trace.window.bounds=(891,336,264,278)
mog.likelihood.map.minimum=-0.0
Desktop.bounds=(206,3,1014,862)
buffer(Product(filter(filter(wavetable)),Gaussian)).plotter.window.bounds=(403,470,264,120)
stacker.target.reshaped.image.window.bounds=(460,564,308,64)
v2.e.image.window.bounds=(0,0,146,39)
spectrum.image.window.bounds=(504,404,517,46)
coder.C.image.window.bounds=(264,90,264,278)
canvas.bounds=(0,0,630,520)
function.plotter.y.map.minimum=-0.099
filter.playlist.current=/home/music/wav/22kmono/bach/sonata2/grave.wav
waveform.scaler.scale=0.011
map.symmetric=true
stacker.output.image.window.bounds=(0,688,1280,49)
vector.trace.window.bounds=(717,546,339,176)
mog.weights.plotter.window.bounds=(641,632,214,138)
x.trace.window.bounds=(570,433,270,111)
mogpdf.plotter.window.bounds=(661,822,254,95)
coeffs.editor.plotter.map.maximum=2.0
smoothness=5.0
ica.<phi(s)s'>.plotter.window.bounds=(0,0,264,118)
Plotter.bounds=(356,62,408,395)
filter.ft.mag.diffScaler.w.plotter.window.bounds=(437,433,264,120)
tasklist.bounds=(887,0,245,185)
trace.bounds=(10,821,290,99)
vector.histogram.bins.image.window.bounds=(325,41,144,292)
spectrum.histogram.likelihood.trace.window.bounds=(273,283,173,534)
mixture.p=0.5
waveform.plotter.map.maximum=36000.0
russian.vodka.jelly=snoozy
spectrum.trace.map.minimum=3.2E-5
scaleNormaliser.scale.editor.plotter.window.bounds=(282,629,264,118)
coder.learn.rate=0.16
mat.image.window.bounds=(0,0,264,278)
e.trace.window.bounds=(0,89,264,278)
normaliser.mean=-444.473
vector.editor.button1=0.1
scaler.E.trace.window.bounds=(360,376,264,86)
test.file=test3.silk
p=1.0E-5
ica.C.image.window.bounds=(516,524,264,278)
scaler.output.plotter.window.bounds=(627,566,264,75)
wavewriter.scale.bounds=(305,57,199,57)
v1.B.editor.window.bounds=(0,0,187,201)
midisynth.factor=120.0
factor=58
v1.B.image.window.bounds=(0,0,146,54)
ft.mag.diffScaler.output.stacker.output.reshaped.image.window.bounds=(303,249,264,49)
image.height=16
ica.learn.G.rowcolumn.plotter.window.bounds=(166,816,937,118)
matrix.plotter.rowcolumn.plotter.window.bounds=(5,159,212,136)
histogram.likelihood.plotter.window.bounds=(891,383,264,100)
matrix.rowcolumn.plotter.window.bounds=(0,0,212,136)
VState.Optimiser.bounds=(0,0,287,592)
scaler.NlogK.trace.window.bounds=(0,551,264,86)
w1.scale=0.01
joint.histogram.bins.image.window.bounds=(701,314,163,193)
ft.mag.diffScaler.output.stacker.output.reshaped.image.map.minimum=1.0
spectrum.trace.window.bounds=(284,206,256,294)
jelly=wobbly
normaliser.rate=0.004
vector.reshaped.image.window.bounds=(0,0,146,294)
mog.-log\ p(s).plotter.window.bounds=(469,627,427,129)
mog.weights.editor.plotter.window.bounds=(300,492,225,127)
generator=(oscillator "osc1" 0.1)
stacker.output.reshaped.image.map.symmetric=false
waveform.plotter.window.bounds=(364,356,512,118)
scaler.offsetRate=3.200E-6
mog.sigmas.editor.plotter.window.bounds=(300,196,224,117)
scaler.scale=4715.263
filter.mean.plotter.window.bounds=(637,652,214,138)
regulator.target=46.733
source=line
matrix.rowcolumn.editor.plotter.window.bounds=(613,573,367,148)
coder.sigma=0.001
trace.map.symmetric=false
coeffs.editor.plotter.window.bounds=(283,22,584,177)
ft.mag.diffScaler.scale=0.01
ica.s.trace.window.bounds=(0,89,264,278)
filter.waveform.scaler.scaleRate=0.01
infile=/mnt/sauce/music/projwav/beethoven/piano/fm-1.wav
ica.e(x).trace.window.bounds=(876,54,264,278)
histogram.bins.image.window.bounds=(162,599,86,278)
vector.image.window.bounds=(113,544,404,72)
function.plotter.x.map.maximum=4.0
x.image.window.bounds=(373,381,265,83)
ica.log\ |W|=-580.779
ica.W.rowcolumn.image.window.bounds=(248,190,264,49)
spectrum.plotter.window.bounds=(76,580,813,116)
ica.G.image.window.bounds=(283,0,264,278)
vector.editor.image.window.bounds=(371,114,292,102)
spectrum.histogram.bins.image.window.bounds=(451,284,104,534)
histogram.sumL.trace.window.bounds=(891,156,264,86)
out.trace.window.bounds=(13,401,1036,292)
test.color=\#465f90
mog.sigmas.rowcolumn.editor.plotter.window.bounds=(623,452,236,138)
ica.e(x).plotter.window.bounds=(333,471,264,118)
w1.color=\#817a9b
spectrum.histogram.sumL.trace.window.bounds=(297,845,272,83)
histogram.bins=96