{
f1 0 8193 10 1

i3 0 10
}


f 0 200

p1 const 2

p2 range .2 .5

p3 range 1 3
prec 2

p4 
rnd uni
mask 0 4
prec 1

p5 
rnd gauss .2 (0 .1 20 .9)	; Mittelwert von 10% bis 90%
mask -10 10

p6 
rnd beta (0 .5 10 .01 20 .5) .5 ; a ist dynamisch, b ist 0.5
mask -10 10 map 1

p7 rnd uni
mask (0 0 10 -5 0 0 ipl 1) (0 1 5 3 15 1 ipl off)	;minimum exponentiell, maximum stufig

p8 rnd uni
mask -5 (0 5 20 -5)
accum on 

p9 rnd uni
mask -5 5
accum mirror 0 50 init 25
prec 0

p10 rnd uni
mask 100 1000
quant 10

p11 rnd uni
mask 100 1000
quant 10 (0 0 20 1)				;strker werdende Quantisierung

p12 rnd uni
mask 100 1000
quant 10 (0 0 20 1 ipl -1) 5				;Offset 5

p13 rnd uni
mask 100 1000
quant (0 10 20 1) .9				;dynamisches Raster

p14 rnd uni
mask 100 1000
quant (0 10 10 5 18 1 ipl off) .9				;3 verschiedene Raster

p15 rnd beta (0 .1 20 .5) (0 .5 20 .1)
mask (0 -10 10 0 20 -10) (0 50 20 0) map .5
quant (0 10 10 5 18 1 ipl off) (0 1 15 .8) (0 5 20 10)		;alles dynamisch
accum wrap (0 -30 20 0) (0 200 20 100)
prec 2

p16 item cycle (3 5 1 19)

p17 item random (.1 1 .5 .25 .125 2)
accum on

p18 item heap (8.00 8.01 8.02 8.03 8.04 8.05 8.06)



f 0 20

p1 const 2

p2 range .2 .5

p3 range 1 3
prec 2

p4 
rnd uni
mask 0 4
prec 1

p5 
rnd gauss .2 (0 .1 20 .9)	; Mittelwert von 10% bis 90%
mask -10 10

p6 
rnd beta (0 .5 10 .01 20 .5) .5 ; a ist dynamisch, b ist 0.5
mask -10 10 map 1

p7 rnd uni
mask (0 0 10 -5 0 0 ipl 1) (0 1 5 3 15 1 ipl off)	;minimum exponentiell, maximum stufig

p8 rnd uni
mask -5 (0 5 20 -5)
accum on 





f 0 20

p1 const 2

p2 range .2 .5

p3 range 1 3
prec 2

p4 
rnd uni
mask 0 4
prec 1

p5 
rnd gauss .2 (0 .1 20 .9)	; Mittelwert von 10% bis 90%
mask -10 10

p6 
rnd beta (0 .5 10 .01 20 .5) .5 ; a ist dynamisch, b ist 0.5
mask -10 10 map 1

p7 rnd uni
mask (0 0 10 -5 0 0 ipl 1) (0 1 5 3 15 1 ipl off)	;minimum exponentiell, maximum stufig

p8 rnd uni
mask -5 (0 5 20 -5)
accum on 

p9 rnd uni
mask -5 5
accum mirror 0 50 init 25
prec 0

p10 rnd uni
mask 100 1000
quant 10

p11 rnd uni
mask 100 1000
quant 10 (0 0 20 1)				;strker werdende Quantisierung

p12 rnd uni
mask 100 1000
quant 10 (0 0 20 1 ipl -1) 5				;Offset 5

p13 rnd uni
mask 100 1000
quant (0 10 20 1) .9				;dynamisches Raster

p14 rnd uni
mask 100 1000
quant (0 10 10 5 18 1 ipl off) .9				;3 verschiedene Raster




f 0 20

p1 const 2

p2 range .2 .5

p3 range 1 3
prec 2

p4 
rnd uni
mask 0 4
prec 1

p5 
rnd gauss .2 (0 .1 20 .9)	; Mittelwert von 10% bis 90%
mask -10 10

p6 
rnd beta (0 .5 10 .01 20 .5) .5 ; a ist dynamisch, b ist 0.5
mask -10 10 map 1

p7 rnd uni
mask (0 0 10 -5 0 0 ipl 1) (0 1 5 3 15 1 ipl off)	;minimum exponentiell, maximum stufig

p8 rnd uni
mask -5 (0 5 20 -5)
accum on 

p9 rnd uni
mask -5 5
accum mirror 0 50 init 25
prec 0

p10 rnd uni
mask 100 1000
quant 10

p11 rnd uni
mask 100 1000
quant 10 (0 0 20 1)				;strker werdende Quantisierung

p12 rnd uni
mask 100 1000
quant 10 (0 0 20 1 ipl -1) 5				;Offset 5

p13 rnd uni
mask 100 1000
quant (0 10 20 1) .9				;dynamisches Raster

p14 rnd uni
mask 100 1000
quant (0 10 10 5 18 1 ipl off) .9				;3 verschiedene Raster

p15 rnd beta (0 .1 20 .5) (0 .5 20 .1)
mask (0 -10 10 0 20 -10) (0 50 20 0) map .5
quant (0 10 10 5 18 1 ipl off) (0 1 15 .8) (0 5 20 10)		;alles dynamisch
accum wrap (0 -30 20 0) (0 200 20 100)
prec 2

p16 item cycle (3 5 1 19)

p17 item random (.1 1 .5 .25 .125 2)
accum on

p18 item heap (8.00 8.01 8.02 8.03 8.04 8.05 8.06)




f 0 20

p1 const 2

p2 range .2 .5

p3 range 1 3
prec 2

p4 
rnd uni
mask 0 4
prec 1

p5 
rnd gauss .2 (0 .1 20 .9)	; Mittelwert von 10% bis 90%
mask -10 10

p6 
rnd beta (0 .5 10 .01 20 .5) .5 ; a ist dynamisch, b ist 0.5
mask -10 10 map 1

p7 rnd uni
mask (0 0 10 -5 0 0 ipl 1) (0 1 5 3 15 1 ipl off)	;minimum exponentiell, maximum stufig

p8 rnd uni
mask -5 (0 5 20 -5)
accum on 

p9 rnd uni
mask -5 5
accum mirror 0 50 init 25
prec 0

p10 rnd uni
mask 100 1000
quant 10

p11 rnd uni
mask 100 1000
quant 10 (0 0 20 1)				;strker werdende Quantisierung

p12 rnd uni
mask 100 1000
quant 10 (0 0 20 1 ipl -1) 5				;Offset 5

p13 rnd uni
mask 100 1000
quant (0 10 20 1) .9				;dynamisches Raster

p14 rnd uni
mask 100 1000
quant (0 10 10 5 18 1 ipl off) .9				;3 verschiedene Raster

p15 rnd beta (0 .1 20 .5) (0 .5 20 .1)
mask (0 -10 10 0 20 -10) (0 50 20 0) map .5
quant (0 10 10 5 18 1 ipl off) (0 1 15 .8) (0 5 20 10)		;alles dynamisch
accum wrap (0 -30 20 0) (0 200 20 100)
prec 2

p16 item cycle (3 5 1 19)

p17 item random (.1 1 .5 .25 .125 2)
accum on

p18 item heap (8.00 8.01 8.02 8.03 8.04 8.05 8.06)




