deblan-mirror/TableFilter
1
0
Fork 0
mirror of https://github.com/koalyptus/TableFilter.git synced 2024-04-27 20:32:54 +02:00
Code Issues Releases Wiki Activity

Added ColOps module + tests

Browse source
This commit is contained in:
Max Guglielmi 2014-11-15 19:39:10 +11:00
parent c50abe6502
commit 4603ce4302
11 changed files with 474 additions and 314 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

2
dist/filtergrid.css vendored
View file

@ -1,6 +1,6 @@
/*------------------------------------------------------------------------
- TableFilter stylesheet by Max Guglielmi
- (build date: Sun Nov 09 2014 19:28:32)
- (build date: Sat Nov 15 2014 19:34:47)
- Edit below for your projects' needs
------------------------------------------------------------------------*/

10
dist/tablefilter.js vendored
View file

File diff suppressed because one or more lines are too long

25
example/index.html
View file

@ -6,6 +6,15 @@
</head>
<body>
<table id="demo" cellpadding="0" cellspacing="0">
<tfoot>
<tr>
<td>Tot:</td>
<td></td>
<td id="sum1"></td>
<td id="sum2"></td>
<td></td>
</tr>
</tfoot>
<tbody>
<tr>
<th>From</th>
@ -68,6 +77,9 @@
<script type="text/javascript" src="../dist/tablefilter.js"></script>
<script>
var table = document.getElementById('demo');
var totRowIndex = table.getElementsByTagName("tr").length;
var tf = new TableFilter("demo", {
col_0: 'select',
col_3: 'checklist',
@ -79,7 +91,18 @@
match_case: false,
remember_grid_values: true,
btn_reset: true,
grid_layout: false
grid_layout: false,
rows_always_visible: [totRowIndex],
col_operation: {
id: ["sum1", "sum2"],
col: [2, 3],
operation: ["sum", "mean"],
write_method: ["innerhtml", 'innerhtml'],
exclude_row: [totRowIndex],
decimal_precision: [0, 2],
tot_row_index: [totRowIndex, totRowIndex]
}
});
tf.init();

4
src/array.js
View file

@ -11,7 +11,7 @@ define(function (require) {
has: function(arr, val, caseSensitive){
var sCase = caseSensitive===undefined ? false : caseSensitive;
for (var i=0; i<arr.length; i++){
if(str.matchCase(arr[i].toString(), sCase) === val){
if(str.matchCase(arr[i].toString(), sCase) == val){
return true;
}
}
@ -20,7 +20,7 @@ define(function (require) {
indexByValue: function(arr, val, caseSensitive){
var sCase = caseSensitive===undefined ? false : caseSensitive;
for (var i=0; i<arr.length; i++){
if(str.matchCase(arr[i].toString(), sCase) === val){
if(str.matchCase(arr[i].toString(), sCase) == val){
return i;
}
}

313
src/core.js
View file

@ -198,10 +198,6 @@ function TableFilter(id) {
//defines css class for single-filter
this.singleFltCssClass = f.single_flt_css_class || 'single_flt';
this.isStartBgAlternate = true;
// //defines css class for even rows
// this.rowBgEvenCssClass = f.even_row_css_class || 'even';
// //defines css class for odd rows
// this.rowBgOddCssClass = f.odd_row_css_class || 'odd';
/*** filters' grid behaviours ***/
//enables/disables enter key
@ -230,10 +226,10 @@ function TableFilter(id) {
//id of active filter
this.activeFilterId = null;
//enables/disbles column operation(sum,mean)
this.hasColOperation = f.col_operation===true ? true : false;
this.hasColOperation = f.col_operation ? true : false;
this.colOperation = null;
//enables always visible rows
this.hasVisibleRows = f.rows_always_visible===true ? true : false;
this.hasVisibleRows = f.rows_always_visible ? true : false;
//array containing always visible rows
this.visibleRows = this.hasVisibleRows ? f.rows_always_visible : [];
//defines search type: include or exclude
@ -679,7 +675,8 @@ function TableFilter(id) {
// Components
this.Cpt = {
loader: null,
alternateRows: null
alternateRows: null,
colOps: null
};
/*** TF events ***/
@ -1224,9 +1221,10 @@ TableFilter.prototype = {
this.Cpt.alternateRows = new AlternateRows(this);
this.Cpt.alternateRows.set();
}
if(this.hasColOperation && this.fltGrid){
this.colOperation = f.col_operation;
this.SetColOperation();
if(this.hasColOperation){
var ColOps = require('modules/colOps');
this.Cpt.colOps = new ColOps(this);
this.Cpt.colOps.set();
}
if(this.sort || this.gridLayout){
this.SetSort();
@ -5167,11 +5165,12 @@ TableFilter.prototype = {
}
//shows rows always visible
if(this.visibleRows)
if(this.visibleRows){
this.SetVisibleRows();
}
//makes operation on a col
if(this.colOperation){
this.SetColOperation();
if(this.hasColOperation){
this.Cpt.colOps.set();
}
//re-populates drop-down filters
if(this.refreshFilters){
@ -5212,7 +5211,7 @@ TableFilter.prototype = {
for(var i=this.refRow; i<this.nbRows; i++){
var isExludedRow = false;
// checks if current row index appears in exclude array
if(exclude && types.isObj(exclude)){
if(exclude && types.isArray(exclude)){
isExludedRow = array.has(exclude, i); //boolean
}
var cell = row[i].cells,
@ -5751,292 +5750,6 @@ TableFilter.prototype = {
}// for i
}
},
/*====================================================
- Calculates values of a column
- params are stored in 'colOperation' table's
attribute
- colOperation['id'] contains ids of elements
showing result (array)
- colOperation['col'] contains index of
columns (array)
- colOperation['operation'] contains operation
type (array, values: sum, mean)
- colOperation['write_method'] array defines
which method to use for displaying the
result (innerHTML, setValue, createTextNode).
Note that innerHTML is the default value.
- colOperation['tot_row_index'] defines in
which row results are displayed (integers array)
- changes made by Nuovella:
(1) optimized the routine (now it will only
process each column once),
(2) added calculations for the median, lower and
upper quartile.
=====================================================*/
SetColOperation: function(){
if(!this.isFirstLoad && !this.hasGrid){
return;
}
if(this.onBeforeOperation){
this.onBeforeOperation.call(null,this);
}
var colOperation = this.colOperation,
labelId = colOperation.id,
colIndex = colOperation.col,
operation = colOperation.operation,
outputType = colOperation.write_method,
totRowIndex = colOperation.tot_row_index,
excludeRow = colOperation.exclude_row,
decimalPrecision = colOperation.decimal_precision !== undefined ?
colOperation.decimal_precision : 2;
//nuovella: determine unique list of columns to operate on
var ucolIndex = [],
ucolMax = 0;
ucolIndex[ucolMax] = colIndex[0];
for(var ii=1; ii<colIndex.length; ii++){
var saved = 0;
//see if colIndex[ii] is already in the list of unique indexes
for(var jj=0; jj<=ucolMax; jj++){
if(ucolIndex[jj] === colIndex[ii]){
saved = 1;
}
}
//if not saved then, save the index;
if (saved === 0){
ucolMax++;
ucolIndex[ucolMax] = colIndex[ii];
}
}
if(str.lower(typeof labelId)=='object' &&
str.lower(typeof colIndex)=='object' &&
str.lower(typeof operation)=='object'){
var row = this.tbl.rows,
colvalues = [];
for(var ucol=0; ucol<=ucolMax; ucol++){
//this retrieves col values
//use ucolIndex because we only want to pass through this loop
//once for each column get the values in this unique column
colvalues.push(
this.GetColValues(ucolIndex[ucol],true,excludeRow));
//next: calculate all operations for this column
var result,
nbvalues=0,
temp,
meanValue=0,
sumValue=0,
minValue=null,
maxValue=null,
q1Value=null,
medValue=null,
q3Value=null,
meanFlag=0,
sumFlag=0,
minFlag=0,
maxFlag=0,
q1Flag=0,
medFlag=0,
q3Flag=0,
theList=[],
opsThisCol=[],
decThisCol=[],
labThisCol=[],
oTypeThisCol=[],
mThisCol=-1;
for(var k=0; k<colIndex.length; k++){
if(colIndex[k] === ucolIndex[ucol]){
mThisCol++;
opsThisCol[mThisCol]=str.lower(operation[k]);
decThisCol[mThisCol]=decimalPrecision[k];
labThisCol[mThisCol]=labelId[k];
oTypeThisCol = outputType !== undefined &&
str.lower(typeof outputType)==='object' ?
outputType[k] : null;
switch(opsThisCol[mThisCol]){
case 'mean':
meanFlag=1;
break;
case 'sum':
sumFlag=1;
break;
case 'min':
minFlag=1;
break;
case 'max':
maxFlag=1;
break;
case 'median':
medFlag=1;
break;
case 'q1':
q1Flag=1;
break;
case 'q3':
q3Flag=1;
break;
}
}
}
for(var j=0; j<colvalues[ucol].length; j++){
//sort the list for calculation of median and quartiles
if((q1Flag==1)||(q3Flag==1) || (medFlag==1)){
if (j<colvalues[ucol].length -1){
for(k=j+1;k<colvalues[ucol].length; k++) {
if(eval(colvalues[ucol][k]) <
eval(colvalues[ucol][j])){
temp = colvalues[ucol][j];
colvalues[ucol][j] = colvalues[ucol][k];
colvalues[ucol][k] = temp;
}
}
}
}
var cvalue = parseFloat(colvalues[ucol][j]);
theList[j] = parseFloat(cvalue);
if(!isNaN(cvalue)){
nbvalues++;
if(sumFlag===1 || meanFlag===1){
sumValue += parseFloat( cvalue );
}
if(minFlag===1){
if(minValue===null){
minValue = parseFloat( cvalue );
} else{
minValue = parseFloat( cvalue ) < minValue ?
parseFloat( cvalue ): minValue;
}
}
if(maxFlag===1){
if (maxValue===null){
maxValue = parseFloat( cvalue );
} else {
maxValue = parseFloat( cvalue ) > maxValue ?
parseFloat( cvalue ): maxValue;
}
}
}
}//for j
if(meanFlag===1){
meanValue = sumValue/nbvalues;
}
if(medFlag===1){
var aux = 0;
if(nbvalues%2 === 1){
aux = Math.floor(nbvalues/2);
medValue = theList[aux];
} else{
medValue =
(theList[nbvalues/2] + theList[((nbvalues/2)-1)])/2;
}
}
var posa;
if(q1Flag===1){
posa=0.0;
posa = Math.floor(nbvalues/4);
if(4*posa == nbvalues){
q1Value = (theList[posa-1] + theList[posa])/2;
} else {
q1Value = theList[posa];
}
}
if (q3Flag===1){
posa=0.0;
var posb=0.0;
posa = Math.floor(nbvalues/4);
if (4*posa === nbvalues){
posb = 3*posa;
q3Value = (theList[posb] + theList[posb-1])/2;
} else {
q3Value = theList[nbvalues-posa-1];
}
}
for(var i=0; i<=mThisCol; i++){
switch( opsThisCol[i] ){
case 'mean':
result=meanValue;
break;
case 'sum':
result=sumValue;
break;
case 'min':
result=minValue;
break;
case 'max':
result=maxValue;
break;
case 'median':
result=medValue;
break;
case 'q1':
result=q1Value;
break;
case 'q3':
result=q3Value;
break;
}
var precision = decThisCol[i] && !isNaN( decThisCol[i] ) ?
decThisCol[i] : 2;
//if outputType is defined
if(oTypeThisCol && result){
result = result.toFixed( precision );
if(dom.id(labThisCol[i])){
switch( str.lower(oTypeThisCol) ){
case 'innerhtml':
if (isNaN(result) || !isFinite(result) ||
nbvalues===0){
dom.id(labThisCol[i]).innerHTML = '.';
} else{
dom.id(labThisCol[i]).innerHTML = result;
}
break;
case 'setvalue':
dom.id( labThisCol[i] ).value = result;
break;
case 'createtextnode':
var oldnode = dom.id(labThisCol[i])
.firstChild;
var txtnode = dom.text(result);
dom.id(labThisCol[i])
.replaceChild(txtnode, oldnode);
break;
}//switch
}
} else {
try{
if(isNaN(result) || !isFinite(result) ||
nbvalues===0){
dom.id(labThisCol[i]).innerHTML = '.';
} else {
dom.id(labThisCol[i]).innerHTML = result.toFixed(
precision);
}
} catch(e) {}//catch
}//else
}//for i
//eventual row(s) with result are always visible
if(totRowIndex && row[totRowIndex[ucol]]){
row[totRowIndex[ucol]].style.display = '';
}
}//for ucol
}//if typeof
if(this.onAfterOperation){
this.onAfterOperation.call(null,this);
}
},
/*====================================================
- removes keyword highlighting

300
src/modules/colOps.js Normal file
View file

@ -0,0 +1,300 @@
define(['../dom', '../string'], function (dom, str) {
'use strict';
/**
* Column calculations
* @param {Object} tf TableFilter instance
*/
function ColOps(tf) {
var f = tf.fObj;
this.colOperation = f.col_operation;
this.tf = tf;
}
/**
* Calculates columns' values
* Configuration options are stored in 'colOperation' property
* - 'id' contains ids of elements showing result (array)
* - 'col' contains the columns' indexes (array)
* - 'operation' contains operation type (array, values: 'sum', 'mean',
* 'min', 'max', 'median', 'q1', 'q3')
* - 'write_method' array defines which method to use for displaying the
* result (innerHTML, setValue, createTextNode) - default: 'innerHTML'
* - 'tot_row_index' defines in which row results are displayed
* (integers array)
*
* - changes made by Nuovella:
* (1) optimized the routine (now it will only process each column once),
* (2) added calculations for the median, lower and upper quartile.
*/
ColOps.prototype.set = function() {
if(!this.tf.isFirstLoad && !this.tf.hasGrid){
return;
}
if(this.tf.onBeforeOperation){
this.tf.onBeforeOperation.call(null, this.tf);
}
var colOperation = this.colOperation,
labelId = colOperation.id,
colIndex = colOperation.col,
operation = colOperation.operation,
outputType = colOperation.write_method,
totRowIndex = colOperation.tot_row_index,
excludeRow = colOperation.exclude_row,
decimalPrecision = colOperation.decimal_precision !== undefined ?
colOperation.decimal_precision : 2;
//nuovella: determine unique list of columns to operate on
var ucolIndex = [],
ucolMax = 0;
ucolIndex[ucolMax] = colIndex[0];
for(var ii=1; ii<colIndex.length; ii++){
var saved = 0;
//see if colIndex[ii] is already in the list of unique indexes
for(var jj=0; jj<=ucolMax; jj++){
if(ucolIndex[jj] === colIndex[ii]){
saved = 1;
}
}
//if not saved then, save the index;
if (saved === 0){
ucolMax++;
ucolIndex[ucolMax] = colIndex[ii];
}
}
if(str.lower(typeof labelId)=='object' &&
str.lower(typeof colIndex)=='object' &&
str.lower(typeof operation)=='object'){
var row = this.tf.tbl.rows,
colvalues = [];
for(var ucol=0; ucol<=ucolMax; ucol++){
//this retrieves col values
//use ucolIndex because we only want to pass through this loop
//once for each column get the values in this unique column
colvalues.push(
this.tf.GetColValues(ucolIndex[ucol], true, excludeRow));
//next: calculate all operations for this column
var result,
nbvalues=0,
temp,
meanValue=0,
sumValue=0,
minValue=null,
maxValue=null,
q1Value=null,
medValue=null,
q3Value=null,
meanFlag=0,
sumFlag=0,
minFlag=0,
maxFlag=0,
q1Flag=0,
medFlag=0,
q3Flag=0,
theList=[],
opsThisCol=[],
decThisCol=[],
labThisCol=[],
oTypeThisCol=[],
mThisCol=-1;
for(var k=0; k<colIndex.length; k++){
if(colIndex[k] === ucolIndex[ucol]){
mThisCol++;
opsThisCol[mThisCol]=str.lower(operation[k]);
decThisCol[mThisCol]=decimalPrecision[k];
labThisCol[mThisCol]=labelId[k];
oTypeThisCol = outputType !== undefined &&
str.lower(typeof outputType)==='object' ?
outputType[k] : null;
switch(opsThisCol[mThisCol]){
case 'mean':
meanFlag=1;
break;
case 'sum':
sumFlag=1;
break;
case 'min':
minFlag=1;
break;
case 'max':
maxFlag=1;
break;
case 'median':
medFlag=1;
break;
case 'q1':
q1Flag=1;
break;
case 'q3':
q3Flag=1;
break;
}
}
}
for(var j=0; j<colvalues[ucol].length; j++){
//sort the list for calculation of median and quartiles
if((q1Flag==1)|| (q3Flag==1) || (medFlag==1)){
if (j<colvalues[ucol].length -1){
for(k=j+1; k<colvalues[ucol].length; k++) {
if(eval(colvalues[ucol][k]) <
eval(colvalues[ucol][j])){
temp = colvalues[ucol][j];
colvalues[ucol][j] = colvalues[ucol][k];
colvalues[ucol][k] = temp;
}
}
}
}
var cvalue = parseFloat(colvalues[ucol][j]);
theList[j] = parseFloat(cvalue);
if(!isNaN(cvalue)){
nbvalues++;
if(sumFlag===1 || meanFlag===1){
sumValue += parseFloat( cvalue );
}
if(minFlag===1){
if(minValue===null){
minValue = parseFloat( cvalue );
} else{
minValue = parseFloat( cvalue ) < minValue ?
parseFloat( cvalue ): minValue;
}
}
if(maxFlag===1){
if (maxValue===null){
maxValue = parseFloat( cvalue );
} else {
maxValue = parseFloat( cvalue ) > maxValue ?
parseFloat( cvalue ): maxValue;
}
}
}
}//for j
if(meanFlag===1){
meanValue = sumValue/nbvalues;
}
if(medFlag===1){
var aux = 0;
if(nbvalues%2 === 1){
aux = Math.floor(nbvalues/2);
medValue = theList[aux];
} else{
medValue =
(theList[nbvalues/2] + theList[((nbvalues/2)-1)])/2;
}
}
var posa;
if(q1Flag===1){
posa=0.0;
posa = Math.floor(nbvalues/4);
if(4*posa == nbvalues){
q1Value = (theList[posa-1] + theList[posa])/2;
} else {
q1Value = theList[posa];
}
}
if (q3Flag===1){
posa=0.0;
var posb=0.0;
posa = Math.floor(nbvalues/4);
if (4*posa === nbvalues){
posb = 3*posa;
q3Value = (theList[posb] + theList[posb-1])/2;
} else {
q3Value = theList[nbvalues-posa-1];
}
}
for(var i=0; i<=mThisCol; i++){
switch( opsThisCol[i] ){
case 'mean':
result=meanValue;
break;
case 'sum':
result=sumValue;
break;
case 'min':
result=minValue;
break;
case 'max':
result=maxValue;
break;
case 'median':
result=medValue;
break;
case 'q1':
result=q1Value;
break;
case 'q3':
result=q3Value;
break;
}
var precision = !isNaN(decThisCol[i]) ? decThisCol[i] : 2;
//if outputType is defined
if(oTypeThisCol && result){
result = result.toFixed( precision );
if(dom.id(labThisCol[i])){
switch( str.lower(oTypeThisCol) ){
case 'innerhtml':
if (isNaN(result) || !isFinite(result) ||
nbvalues===0){
dom.id(labThisCol[i]).innerHTML = '.';
} else{
dom.id(labThisCol[i]).innerHTML = result;
}
break;
case 'setvalue':
dom.id( labThisCol[i] ).value = result;
break;
case 'createtextnode':
var oldnode = dom.id(labThisCol[i])
.firstChild;
var txtnode = dom.text(result);
dom.id(labThisCol[i])
.replaceChild(txtnode, oldnode);
break;
}//switch
}
} else {
try{
if(isNaN(result) || !isFinite(result) ||
nbvalues===0){
dom.id(labThisCol[i]).innerHTML = '.';
} else {
dom.id(labThisCol[i]).innerHTML =
result.toFixed(precision);
}
} catch(e) {}//catch
}//else
}//for i
// row(s) with result are always visible
var totRow = totRowIndex && totRowIndex[ucol] ?
row[totRowIndex[ucol]] : null;
if(totRow){
totRow.style.display = '';
}
}//for ucol
}//if typeof
if(this.tf.onAfterOperation){
this.tf.onAfterOperation.call(null, this.tf);
}
};
return ColOps;
});

2
test/test-alternate-rows.html
View file

@ -2,7 +2,7 @@
<html>
<head>
<meta charset="utf-8">
<title>TableFilter basic test</title>
<title>TableFilter alternate rows tests</title>
<link rel="stylesheet" href="libs/qunit/qunit.css">
<link rel="stylesheet" href="../dist/filtergrid.css">
<script src="libs/qunit/qunit.js"></script>

4
test/test-alternate-rows.js
View file

@ -10,8 +10,8 @@ requirejs(['test-config', '../src/core'], function(config, TableFilter){
});
tf.init();
module("Sanity checks");
test("AlternateRows component", function() {
module('Sanity checks');
test('AlternateRows component', function() {
deepEqual(tf.Cpt.alternateRows instanceof AlternateRows, true, 'AlternateRows constructor');
notEqual(tf.Cpt.alternateRows, null, 'AlternateRows instanciated');
});

91
test/test-col-ops.html Normal file
View file

@ -0,0 +1,91 @@
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>TableFilter column operations tests</title>
<link rel="stylesheet" href="libs/qunit/qunit.css">
<link rel="stylesheet" href="../dist/filtergrid.css">
<script src="libs/qunit/qunit.js"></script>
<script>
// Defer Qunit so RequireJS can work its magic and resolve all modules.
QUnit.config.autostart = false;
QUnit.config.autoload = false;
</script>
</head>
<body>
<table id="demo" cellpadding="0" cellspacing="0">
<tfoot>
<tr>
<td>Tot:</td>
<td></td>
<td id="sum1"></td>
<td id="sum2"></td>
<td></td>
</tr>
</tfoot>
<tbody>
<tr>
<th>From</th>
<th>Destination</th>
<th>Road Distance (km)</th>
<th>By Air (hrs)</th>
<th width="15%">By Rail (hrs)</th>
</tr>
<tr>
<td><strong>Sydney</strong></td>
<td>Adelaide</td>
<td>1412</td>
<td>1.4</td>
<td>25.3</td>
</tr>
<tr>
<td><strong>Sydney</strong></td>
<td>Brisbane</td>
<td>982</td>
<td>1.5</td>
<td>16</td>
</tr>
<tr>
<td><strong>Sydney</strong></td>
<td>Canberra</td>
<td>286</td>
<td>.6</td>
<td>4.3</td>
</tr>
<tr>
<td><strong>Sydney</strong></td>
<td>Melbourne</td>
<td>872</td>
<td>1.1</td>
<td>10.5</td>
</tr>
<tr>
<td><strong>Adelaide</strong></td>
<td>Perth</td>
<td>2781</td>
<td>3.1</td>
<td>38</td>
</tr>
<tr>
<td><strong>Adelaide</strong></td>
<td>Alice Springs</td>
<td>1533</td>
<td>2</td>
<td>20.25</td>
</tr>
<tr>
<td><strong>Adelaide</strong></td>
<td>Brisbane</td>
<td>2045</td>
<td>2.15</td>
<td>40</td>
</tr>
</tbody>
</table>
<script data-main="test-col-ops" src="../libs/requirejs/require.js"></script>
<div id="qunit"></div>
<div id="qunit-fixture"></div>
</body>
</html>

33
test/test-col-ops.js Normal file
View file

@ -0,0 +1,33 @@
requirejs(['test-config', '../src/core'], function(config, TableFilter){
QUnit.start();
var dom = require('dom'),
ColOps = require('modules/colOps');
var table = document.getElementById('demo');
var totRowIndex = table.getElementsByTagName('tr').length;
var tf = new TableFilter('demo', {
rows_always_visible: [totRowIndex],
col_operation: {
id: ['sum1', 'sum2'],
col: [2, 3],
operation: ['sum', 'mean'],
write_method: ['innerhtml', 'innerhtml'],
exclude_row: [totRowIndex],
decimal_precision: [0, 2],
tot_row_index: [totRowIndex, totRowIndex]
}
});
tf.init();
module('Sanity checks');
test('Column Operations component', function() {
deepEqual(tf.Cpt.colOps instanceof ColOps, true, 'ColOps constructor');
notEqual(tf.Cpt.colOps, null, 'ColOps instanciated');
equal(dom.id('sum1').innerHTML, 9911, 'Sum result');
equal(dom.id('sum2').innerHTML, 1.69, 'Mean result');
});
});

4
test/test-loader.js
View file

@ -10,8 +10,8 @@ requirejs(['test-config', '../src/core'], function(config, TableFilter){
});
tf.init();
module("Sanity checks");
test("Loader component", function() {
module('Sanity checks');
test('Loader component', function() {
deepEqual(tf.Cpt.loader instanceof Loader, true, 'Loader constructor');
notEqual(tf.Cpt.loader, null, 'Loader instanciated');
notEqual(dom.id(tf.prfxLoader+tf.id), null, 'Loader DOM container');