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104 lines
1.8 KiB
104 lines
1.8 KiB
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input: "attractor"
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output: "png"
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AttractorKernel: {
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type: lorenz/unravel/polynomial/polynomial a/logistic
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=> "polynomial"
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dimensions: most types only support 3D
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=> "3"
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orde: "2"
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iterations: "1000000"
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parameters: the variables of the attractortype
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{
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:"0.862"
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:"-1.147"
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:"0.01"
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:"0.241"
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:"-0.85"
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:"-0.174"
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:"1.193"
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:"-0.572"
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:"0.772"
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:"0.147"
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:"-0.049"
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:"0.427"
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:"-0.103"
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:"-0.402"
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:"1.13"
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:"0.859"
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:"-0.642"
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:"-0.649"
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:"-1.074"
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:"-0.636"
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:"-0.706"
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:"0.315"
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:"-0.125"
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:"1.193"
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:"0.533"
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:"-0.091"
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:"0.778"
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:"-1.199"
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:"-0.112"
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:"0.025"
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}
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}
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projector: {
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type: auto center/lineair map/spherical/color projector
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=> "lineair map"
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domain: input of the projector, normally the attractor, but can also be a projector
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=> "attractor"
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domainDimension: redundant, because it knows from domain
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=> "3"
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codomain: output of the Projector, normally a canvas, but can also be another projector
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=> "canvas"
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codomainDimensions: redundant, because it knows from codomain
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=> "2"
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matrix: describing the lineair map
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{
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:{ :"1" :"0" :"0" }
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:{ :"0" :"1" :"0" }
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}
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}
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canvas: {
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type: 2D image/2D slices/3D volume/2D animation
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=> "2D image"
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output: canvas/png/jpg/zip/mpg
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=> "png"
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width: "6400"
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height: "6400"
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colors: "3"
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imageConversion: description how to show the abstract canvas classe
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{
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colorMatrix: desciribing lineair map from canvas colors to RGB colorspace
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{
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:{ :"1" :"0" :"0" }
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:{ :"0" :"1" :"0" }
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:{ :"0" :"0" :"1" }
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}
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vibrancy: "0"
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gamma: "-2.5"
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brightness: "3"
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}
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pngFile: png options
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{
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fileName: leave empty to autogenerate filename
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=> ""
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compression: "9"
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author: "Joshua Moerman"
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title: "Unravel"
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description: "A unravel-type attractor made with AwesomeAttractor"
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}
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}
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