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63 lines
1.8 KiB
Python
63 lines
1.8 KiB
Python
FluidKDTree : FluidRealTimeModel
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{
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var neighbours,radius,lookup;
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*new{ |server, numNeighbours = 1, radius = 0, lookupDataSet|
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^super.new(server,[numNeighbours,radius,lookupDataSet ? -1])
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.numNeighbours_(numNeighbours)
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.radius_(radius)
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.lookupDataSet_(lookupDataSet);
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}
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numNeighbours_{|k|neighbours = k.asInteger; }
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numNeighbours{ ^neighbours; }
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radius_{|r| radius = r.asUGenInput;}
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radius{ ^radius; }
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lookupDataSet_{|ds| lookup = ds ? -1; }
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lookupDataSet{|ds| ^ (lookup ? -1) }
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prGetParams{^[this.numNeighbours,this.radius,this.lookupDataSet,-1,-1];}
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fitMsg{ |dataSet| ^this.prMakeMsg(\fit,this.id,dataSet.id);}
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fit{|dataSet,action|
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actions[\fit] = [nil,action];
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this.prSendMsg(this.fitMsg(dataSet));
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}
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kNearestMsg{|buffer|
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^this.prMakeMsg(\kNearest,id,this.prEncodeBuffer(buffer));
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}
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kNearest{ |buffer, action|
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actions[\kNearest] = [strings(FluidMessageResponse,_,_),action];
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this.prSendMsg(this.kNearestMsg(buffer));
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}
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kNearestDistMsg {|buffer|
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^this.prMakeMsg(\kNearestDist,id,this.prEncodeBuffer(buffer));
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}
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kNearestDist { |buffer, action|
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actions[\kNearestDist] = [numbers(FluidMessageResponse,_,nil,_),action];
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this.prSendMsg(this.kNearestDistMsg(buffer));
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}
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kr{|trig, inputBuffer,outputBuffer, numNeighbours = 1, lookupDataSet|
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this.numNeighbours_(numNeighbours);
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lookupDataSet = lookupDataSet ? -1;
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this.lookupDataSet_(lookupDataSet);
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^FluidKDTreeQuery.kr(K2A.ar(trig),
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this, this.numNeighbours, this.radius, this.lookupDataSet.asUGenInput,
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this.prEncodeBuffer(inputBuffer),
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this.prEncodeBuffer(outputBuffer));
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}
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}
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FluidKDTreeQuery : FluidRTQuery {}
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