From eb7c8e0cd42d4afe02be3adda2e94b6b0dfdaa00 Mon Sep 17 00:00:00 2001
From: Sunil Shetye
Date: Tue, 26 Jun 2018 14:59:47 +0530
Subject: add return value from scicos_getvalue to global vars
---
js/Sources/RAND_m.js | 34 +++++++++++++++++-----------------
1 file changed, 17 insertions(+), 17 deletions(-)
(limited to 'js/Sources/RAND_m.js')
diff --git a/js/Sources/RAND_m.js b/js/Sources/RAND_m.js
index d3c62d7e..cf5f934b 100644
--- a/js/Sources/RAND_m.js
+++ b/js/Sources/RAND_m.js
@@ -1,10 +1,10 @@
/* autogenerated from "macros/Sources/RAND_m.sci" */
function RAND_m() {
RAND_m.prototype.define = function RAND_m() {
- a = 0;
- b = 1;
+ this.a = 0;
+ this.b = 1;
dt = 0;
- flag = 0;
+ this.flag = 0;
function_name = "rndblk_m";
funtyp = 4;
model = scicos_model();
@@ -18,13 +18,13 @@ function RAND_m() {
model.evtin = 1;
model.evtout = [];
model.state = [];
- model.dstate = [[int(rand()*(10^7-1))],[0*a.slice()]];
- model.rpar = [a.slice(),b.slice()];
- model.ipar = flag;
+ 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.firing = [];
model.dep_ut = [false,false];
- exprs = [[sci2exp(1)],[string(flag)],[sci2exp([a])],[sci2exp([b])],[sci2exp([model.dstate[1-1],int(rand()*(10^7-1))])]];
+ exprs = [[sci2exp(1)],[string(this.flag)],[sci2exp([this.a])],[sci2exp([this.b])],[sci2exp([model.dstate[1-1],int(rand()*(10^7-1))])]];
gr_i = [];
this.x = standard_define([3,2],model,exprs,gr_i);
return new BasicBlock(this.x);
@@ -43,24 +43,24 @@ function RAND_m() {
exprs[9-1] = [];
}
while (true) {
- [ok,typ,flag,a,b,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 matrix with equal sizes"]],[["Datatype(1=real double 2=complex)"],["flag"],["A"],["B"],["SEED"]],list("vec",1,"vec",1,"mat",[-1,-2],"mat","[-1 -2]","mat",[1,2]),exprs);
+ [ok,this.typ,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 matrix with equal sizes"]],[["Datatype(1=real double 2=complex)"],["flag"],["A"],["B"],["SEED"]],list("vec",1,"vec",1,"mat",[-1,-2],"mat","[-1 -2]","mat",[1,2]),exprs);
if (!ok) {
break;
}
- if (flag!=0&&flag!=1) {
+ if (this.flag!=0&&this.flag!=1) {
message("flag must be equal to 1 or 0");
} else {
- out = size(a);
- if (typ==1) {
+ out = size(this.a);
+ if (this.typ==1) {
function_name = "rndblk_m";
- model.rpar = [[real(a.slice())],[real(b.slice())]];
- model.dstate = [[seed_c[1-1]],[0*real(a.slice())]];
+ model.rpar = [[real(this.a.slice())],[real(this.b.slice())]];
+ model.dstate = [[this.seed_c[1-1]],[0*real(this.a.slice())]];
ot = 1;
- } else if (typ==2) {
+ } else if (this.typ==2) {
function_name = "rndblkz_m";
ot = 2;
- model.rpar = [[real(a.slice())],[imag(a.slice())],[real(b.slice())],[imag(b.slice())]];
- model.dstate = [[seed_c.slice()],[0*[[real(a.slice())],[imag(a.slice())]]]];
+ model.rpar = [[real(this.a.slice())],[imag(this.a.slice())],[real(this.b.slice())],[imag(this.b.slice())]];
+ model.dstate = [[this.seed_c.slice()],[0*[[real(this.a.slice())],[imag(this.a.slice())]]]];
} else {
message("Datatype is not supported");
ok = false;
@@ -70,7 +70,7 @@ function RAND_m() {
if (ok) {
model.sim = list(function_name,4);
graphics.exprs = exprs;
- model.ipar = flag;
+ model.ipar = this.flag;
this.x.graphics = graphics;
this.x.model = model;
break;
--
cgit