/* autogenerated from "macros/Sources/RAND_f.sci" */ function RAND_f() { RAND_f.prototype.define = function RAND_f() { this.a = 0; this.b = 1; dt = 0; out = 1; this.flag = 0; model = scicos_model(); model.sim = "rndblk"; model.out = out; model.evtin = 1; model.dstate = [[int(rand()*(10^7-1))],[0*this.a.slice()]]; model.rpar = [[this.a.slice()],[this.b.slice()]]; model.ipar = this.flag; model.blocktype = "d"; model.dep_ut = [false,false]; exprs = [[string(this.flag)],[sci2exp(this.a.slice())],[sci2exp(this.b.slice())],[string(model.dstate[1-1])]]; gr_i = []; this.x = standard_define([3,2],model,exprs,gr_i); return new BasicBlock(this.x); } RAND_f.prototype.details = function RAND_f() { return this.x; } RAND_f.prototype.get = function RAND_f() { } RAND_f.prototype.set = function RAND_f() { this.x = arg1; graphics = arg1.graphics; exprs = graphics.exprs; model = arg1.model; if (size(exprs,"*")==5) { exprs = exprs.slice(1-1,3); } if (size(exprs,"*")==3) { exprs = [[exprs],[string(model.dstate[1-1])]]; } while (true) { [ok,this.flag,this.a,this.b,this.seed_c,exprs] = scicos_getvalue([["Set Random generator block parameters"],["flag = 0 : Uniform distribution A is min and A+B max"],["flag = 1 : Normal distribution A is mean and B deviation"],[" "],["A and B must be vector with equal sizes"],["seed is the seed of random number generator (integer<2**31)"]],[["flag"],["A"],["B"],["seed"]],list("vec",1,"vec",-1,"vec","size(%2,\'*\')","vec",1),exprs); if (!ok) { break; } if (this.flag!=0&&this.flag!=1) { message("flag must be equal to 1 or 0"); } else { nout = size(this.a,"*"); graphics.exprs = exprs; model.out = nout; model.ipar = this.flag; model.rpar = [[this.a.slice()],[this.b.slice()]]; model.dstate = [[this.seed_c],[0*this.a.slice()]]; this.x.graphics = graphics; this.x.model = model; break; } } return new BasicBlock(this.x); } }