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path: root/js/MatrixOp/MATCATV.js
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/* autogenerated from "macros/MatrixOp/MATCATV.sci" */
function MATCATV() {
    MATCATV.prototype.define = function MATCATV() {
        l1 = [[2],[2]];
        model = scicos_model();
        function_name = "mat_catv";
        funtyp = 4;
        model.sim = list(function_name,funtyp);
        model.in2 = [[-1],[-1]];
        model.in1 = [[-2],[-3]];
        model.intyp = [-1,-1];
        model.out = 0;
        model.out2 = -1;
        model.outtyp = -1;
        model.evtin = [];
        model.evtout = [];
        model.state = [];
        model.dstate = [];
        model.rpar = [];
        model.ipar = [];
        model.blocktype = "c";
        model.firing = [];
        model.dep_ut = [true,false];
        label = [sci2exp(2)];
        gr_i = [];
        x = standard_define([2,3],model,label,gr_i);
    }
    MATCATV.prototype.details = function MATCATV() {
    }
    MATCATV.prototype.get = function MATCATV() {
    }
    MATCATV.prototype.set = function MATCATV() {
        x = arg1;
        model = arg1.model;
        graphics = arg1.graphics;
        label = graphics.exprs;
        if (size(label,"*")>1) {
        label = "size(evstr("+label[2-1]+"),\'*\')";
}
        while (true) {
        [ok,nin,lab] = scicos_getvalue("Set MATCATV block parameters",["Number od inputs"],list("vec",1),label);
        if (!ok) {
break;
}
        label = lab;
        in1 = [-(transpose([2:nin+1])),-ones(nin,1)];
        it = -ones(nin,1);
        ot = -1;
        out = [0,-1];
        [model,graphics,ok] = set_io(model,graphics,list(in1,it),list(out,ot),[],[]);
        if (ok) {
        funtyp = 4;
        model.sim = list("mat_catv",funtyp);
        graphics.exprs = label;
        arg1.graphics = graphics;
        arg1.model = model;
        x = arg1;
break;
}
}
    }
}