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/* autogenerated from "macros/Branching/SCALAR2VECTOR.sci" */
function SCALAR2VECTOR() {
SCALAR2VECTOR.prototype.define = function SCALAR2VECTOR() {
this.nout = -1;
this.model = scicos_model();
this.model.sim = list(new ScilabString(["scalar2vector"]), new ScilabDouble([4]));
this.model.out = new ScilabDouble([this.nout]);
this.model.in1 = new ScilabDouble([1]);
this.model.blocktype = new ScilabString(["c"]);
this.model.dep_ut = [true,false];
exprs = [string([this.nout])];
gr_i = [];
this.x = standard_define([3,2],this.model,exprs,gr_i);
return new BasicBlock(this.x);
}
SCALAR2VECTOR.prototype.details = function SCALAR2VECTOR() {
return this.x;
}
SCALAR2VECTOR.prototype.get = function SCALAR2VECTOR() {
var options = {
nout:["size of output (-1: if don\'t know)",this.nout],
}
return options;
}
SCALAR2VECTOR.prototype.set = function SCALAR2VECTOR() {
this.nout = parseFloat(arguments[0]["nout"])
this.x = arg1;
graphics = arg1.graphics;
exprs = graphics.exprs;
this.model = arg1.model;
while (true) {
[ok,this.nout,exprs] = scicos_getvalue("Set block parameters",["size of output (-1: if don\'t know)"],list("vec",1),exprs);
if (!ok) {
break;
}
this.nout = int(this.nout);
if ((this.nout!=-1&&(this.nout<=0))) {
message("size of output must be -1 or >0");
ok = false;
}
if (ok) {
[model,graphics,ok] = check_io(this.model,graphics,[1],this.nout,[],[]);
}
if (ok) {
graphics.exprs = exprs;
this.x.graphics = graphics;
this.x.model = this.model;
break;
}
}
return new BasicBlock(this.x);
}
}
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