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/* autogenerated from "macros/Linear/SUMMATION.sci" */
function SUMMATION() {
SUMMATION.prototype.define = function SUMMATION() {
this.sgn = [[1],[-1]];
this.model = scicos_model();
this.model.sim = list(new ScilabString(["summation"]), new ScilabDouble([4]));
this.model.in1 = new ScilabDouble([-1],[-1]);
this.model.out = new ScilabDouble([-1]);
this.model.in2 = new ScilabDouble([-2],[-2]);
this.model.out2 = new ScilabDouble([-2]);
this.model.ipar = new ScilabDouble(this.sgn);
this.model.blocktype = new ScilabString(["c"]);
this.model.dep_ut = new ScilabDouble([true,false]);
this.exprs = sci2exp(this.sgn);
this.gr_i = new ScilabString(["xstringb(orig(1),orig(2),\"SUMMATION\",sz(1),sz(2));"]);
this.x = standard_define([2,3],this.model,this.exprs,this.gr_i);
return new Summation(this.x);
}
SUMMATION.prototype.details = function SUMMATION() {
return this.x;
}
SUMMATION.prototype.get = function SUMMATION() {
var options = {
Datatype:["Datatype (1=real double 2=complex 3=int32 ...)",this.Datatype],
sgn:["Number of inputs or sign vector (of +1, -1)",this.sgn.toString().replace(/,/g," ")],
satur:["Do on Overflow(0=Nothing 1=Saturate 2=Error)",this.satur],
}
return options;
}
SUMMATION.prototype.set = function SUMMATION() {
this.Datatype = arguments[0]["Datatype"]
this.sgn = inverse(arguments[0]["sgn"])
this.satur = arguments[0]["satur"]
this.exprs = inverse(arguments[0]["exprs"])
this.x = arg1;
this.graphics = arg1.graphics;
this.model = arg1.model;
this.exprs = this.graphics.exprs;
if (size(this.exprs,1)==1) {
this.exprs = [[sci2exp(1)],[this.exprs],[sci2exp(0)]];
} else if (size(this.exprs,1)==2) {
this.exprs = [[this.exprs],[sci2exp(0)]];
}
while (true) {
[ok,this.Datatype,this.sgn,this.satur,this.exprs] = scicos_getvalue("Set sum block parameters",["Datatype (1=real double 2=complex 3=int32 ...)","Number of inputs or sign vector (of +1, -1)","Do on Overflow(0=Nothing 1=Saturate 2=Error)"],list("vec",1,"vec",-1,"vec",1),this.exprs);
if (!ok) {
break;
}
this.sgn = this.sgn.slice();
if ((this.satur!=0&&this.satur!=1&&this.satur!=2)) {
message("Do on overflow must be 0,1,2");
var ok = false;
}
if (size(this.sgn,1)==1) {
if (this.sgn<1) {
message("Number of inputs must be > 0");
var ok = false;
} else if (this.sgn==1) {
var in1 = -1;
var in2 = -2;
this.sgn = [];
var nout = 1;
var nout2 = 1;
} else {
var in1 = -ones(this.sgn,1);
var in2 = 2*in1;
this.sgn = ones(this.sgn,1);
var nout = -1;
var nout2 = -2;
}
} else {
if (!and(abs(this.sgn)==1)) {
message("Signs can only be +1 or -1");
var ok = false;
} else {
var in1 = -ones(size(this.sgn,1),1);
var in2 = 2*in1;
var nout = -1;
var nout2 = -2;
}
}
var it = this.Datatype*ones(1,size(in1,1));
var ot = this.Datatype;
if (this.Datatype==1) {
this.model.sim = list(new ScilabString(["summation"]), new ScilabDouble([4]));
} else if (this.Datatype==2) {
this.model.sim = list(new ScilabString(["summation_z"]), new ScilabDouble([4]));
} else if (((this.Datatype<1)||(this.Datatype>8))) {
message("Datatype is not supported");
var ok = false;
} else {
if (this.satur==0) {
if (this.Datatype==3) {
this.model.sim = list(new ScilabString(["summation_i32n"]), new ScilabDouble([4]));
} else if (this.Datatype==4) {
this.model.sim = list(new ScilabString(["summation_i16n"]), new ScilabDouble([4]));
} else if (this.Datatype==5) {
this.model.sim = list(new ScilabString(["summation_i8n"]), new ScilabDouble([4]));
} else if (this.Datatype==6) {
this.model.sim = list(new ScilabString(["summation_ui32n"]), new ScilabDouble([4]));
} else if (this.Datatype==7) {
this.model.sim = list(new ScilabString(["summation_ui16n"]), new ScilabDouble([4]));
} else if (this.Datatype==8) {
this.model.sim = list(new ScilabString(["summation_ui8n"]), new ScilabDouble([4]));
}
} else if (this.satur==1) {
if (this.Datatype==3) {
this.model.sim = list(new ScilabString(["summation_i32s"]), new ScilabDouble([4]));
} else if (this.Datatype==4) {
this.model.sim = list(new ScilabString(["summation_i16s"]), new ScilabDouble([4]));
} else if (this.Datatype==5) {
this.model.sim = list(new ScilabString(["summation_i8s"]), new ScilabDouble([4]));
} else if (this.Datatype==6) {
this.model.sim = list(new ScilabString(["summation_ui32s"]), new ScilabDouble([4]));
} else if (this.Datatype==7) {
this.model.sim = list(new ScilabString(["summation_ui16s"]), new ScilabDouble([4]));
} else if (this.Datatype==8) {
this.model.sim = list(new ScilabString(["summation_ui8s"]), new ScilabDouble([4]));
}
} else if (this.satur==2) {
if (this.Datatype==3) {
this.model.sim = list(new ScilabString(["summation_i32e"]), new ScilabDouble([4]));
} else if (this.Datatype==4) {
this.model.sim = list(new ScilabString(["summation_i16e"]), new ScilabDouble([4]));
} else if (this.Datatype==5) {
this.model.sim = list(new ScilabString(["summation_i8e"]), new ScilabDouble([4]));
} else if (this.Datatype==6) {
this.model.sim = list(new ScilabString(["summation_ui32e"]), new ScilabDouble([4]));
} else if (this.Datatype==7) {
this.model.sim = list(new ScilabString(["summation_ui16e"]), new ScilabDouble([4]));
} else if (this.Datatype==8) {
this.model.sim = list(new ScilabString(["summation_ui8e"]), new ScilabDouble([4]));
}
}
}
if (ok) {
var tmpvar0 = set_io(this.model,this.graphics,list([in1,in2],it),list([nout,nout2],ot),[],[]);
this.model = tmpvar0[0];
this.graphics = tmpvar0[1];
var ok = tmpvar0[2];
}
if (ok) {
this.model.rpar = new ScilabDouble([this.satur]);
this.model.ipar = new ScilabDouble([this.sgn]);
this.graphics.exprs = new ScilabDouble(this.exprs);
this.x.graphics = this.graphics;
this.x.model = this.model;
break;
}
}
return new Summation(this.x);
}
}
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