Week 1: Learning, JsROOT example
Because I haven’t been blogging at this time, I try to remember what happened in this week. April 22 I got the email from Google that I will be participating in GSOC16, right after this I wrote email to my mentors (Sergei V. Gleyzer and Enric Tejedor). Sergei said I should take a look at TMVAGui, we also discussed that we will use JSROOT. We fixed the first kick-off meeting to May 3.
In this week I worked 4 days. I wrote a JavaScript class that read a TMVA output file and is able to reproduce some functionality of TMVAGui. I worked a lot with this, because I misunderstand the goal of JsROOT, I manipulated it in JavaScript. Although this was a good start and I learnt a lot about how JsROOT works, maybe we will profit form this latter.
Here is the JavaScrit module that I wrote:
function TMVAGui(filename, stageid, menuid, jsroot){
var mo = this;
var calls = [];
var IAmTheFirst = true;
var insidecall = false;
var JSROOT = jsroot;
var types = {
"kMVAType": 1,
"kCompareType": 2,
"kProbaType": 3,
"kRarityType": 4
};
var findIndex = function(keys, name){
for(var i in keys){
if (keys[i].fName==name){
return i;
}
}
return -1;
}
var openFile = (function(){
var File;
var isOpened = false;
return function(callback){
if (isOpened==true){
callback(File);
return;
}
JSROOT.AssertPrerequisites("io", function() {
new JSROOT.TFile(filename, function (file) {
File = file;
console.log(file);
isOpened = true;
callback(file);
});
});
}
})();
var callStack = function(){
insidecall = true;
for(var j=0,len=calls.length;j<len;j++){
calls[j].func(calls[j].args);
}
insidecall = false;
}
var dirname="";
var List = function(callback){
var addObj = (function(){
var i = 0;
var list = [];
return function(obj){
if (obj===-2) {
return i;
} else if (obj===-1){
return list;
} else {
if (obj.dir_name!==undefined){
if (dirname.indexOf(obj.dir_name)==-1){
dirname += "/"+obj.dir_name;
}
for(var j=0,len=obj.fKeys.length;j<len;j++){
list[i++] = obj.fKeys[j];
}
} else {
list[i++] = obj;
}
}
}
})();
openFile(function(file){
var objs = addObj(-1);
if (addObj(-2)==0) {
for (var i in file.fKeys) {
file.ReadObject(file.fKeys[i].fName, function (obj) {
addObj(obj);
});
}
}
callback(objs, file);
if (!insidecall){
callStack();
}
});
}
this.correlation = function(type){
if (IAmTheFirst || insidecall) {
IAmTheFirst = false;
var tt = ["CorrelationMatrixS", "CorrelationMatrixB"];
List(function (objs, file) {
var idx = findIndex(objs, tt[type]);
if (idx == -1) {
stage.innerHTML = tt[type] + " not found in " + filename + "!";
return;
}
file.ReadObject(dirname + "/" + objs[idx].fName, function (obj) {
console.log(obj);
JSROOT.draw(stageid, obj, "colz")
});
});
} else {
calls.push({"func":this.correlation, "args": type});
}
}
var methodTitle = function(method, callback){
openFile(function(file){
file.ReadObject(dirname+"/Method_"+method, function(obj){
callback(file, obj.fKeys[0].fName);
});
});
}
this.mvas = function(mode, method){
if (IAmTheFirst || insidecall) {
IAmTheFirst = false;
methodTitle(method, function(file, title){
var tit = dirname+"/Method_"+method+"/"+title+"/MVA_"+title;
console.log(tit);
file.ReadObject(tit+"_S", function(objS){
JSROOT.draw(stageid, objS, "samehist");
file.ReadObject(tit+"_B", function(objB){
JSROOT.draw(stageid, objB, "samehist")
});
});
});
} else {
calls.push({"func":this.mvas, "args": undefined});
}
}
var callJQuery=function(){
$(function() {
require(['jquery', 'jquery-ui'], function($){
$("#TMVAGuimenu").menu();
$("#TMVAGuimenu li ul li").click(function(){
var arr = $(this).attr("value").split(":");
switch (arr[0]){
case "correlation":
var tt = {"Signal":0, "Background": 1};
$("#"+stageid).html("");
insidecall = true;
mo.correlation(tt[arr[1]]);
insidecall = false;
break;
case "mvas":
$("#"+stageid).html("");
insidecall = true;
mo.mvas(arr[1], arr[2]);
insidecall = false;
break;
default:
console.log("TMVAGui::callJQuery bad input from menu! arr[0]="+arr[0]);
break;
}
});
});
});
};
this.menu = function(){
if (IAmTheFirst || insidecall) {
IAmTheFirst = false;
List(function (objs, file) {
var str = "<ul id='TMVAGuimenu'>", strtmp;
var idx, counter;
var len = objs.length;
var corr = [
{"v":"CorrelationMatrixS", "name":"Signal"},
{"v":"CorrelationMatrixB", "name":"Background"}
];
var lencorr = corr.length, j;
counter = 0;
strtmp = "";
for(var i=0;i<len;i++){
for(j=0;j<lencorr;j++){
console.log(objs[i]);
idx = objs[i].fName.indexOf(corr[j].v);
if (idx!=-1){
strtmp += "<li value='correlation:"+corr[j].name+"'>"+corr[j].name+"</li>";
counter++;
break;
}
}
if (counter==lencorr){
break;
}
}
if (counter==lencorr){
str += "<li>Input Variable Linear Correlation Coefficients<ul>"+strtmp+"</ul></li>";
} else {
str += "<li class='ui-state-disabled'>Input Variable Linear Correlation Coefficients</li>";
}
var method;
strtmp = "";
counter = 0;
for (var i = 0; i < len; i++) {
idx = objs[i].fName.indexOf("Method_");
if (idx!=-1){
method = objs[i].fName.substr(idx+7);
strtmp += "<li value='mvas:"+types.kMVAType+":"+method+"'>"+method+"</li>";
counter ++;
}
}
if (counter>0){
str += "<li>Classifier Output Distributions (test sample)<ul>";
str += strtmp;
str += "</ul></li>";
} else {
str += "<li class='ui-state-disabled'>Classifier Output Distributions (test sample)</li>";
}
str += "<li>Classifier Output Distributions (test and training samples superimposed)</li>";
str += "</ul>";
$("#"+menuid).append(str);
callJQuery();
});
} else {
calls.push({"func":this.getMethods, "args": callback});
}
}
}The code above will result this (maybe you have to wait a little to appear because the TMVA.root file is big):