Select the first five elements:
&:nth-child(-n+5}){
}
| html,body { | |
| height: 100%; | |
| background: blue; | |
| } | |
| .fill-div { | |
| height: 100%; | |
| width: 100% | |
| } |
| App.TinymceEditorComponent = Ember.Component.extend({ | |
| // Warning!!! only use tinyMCE not tinymce !!! | |
| editor: null, | |
| data: {}, | |
| watchData: true, | |
| didInsertElement: function(){ | |
| var _this = this; | |
| // The magic config - http://www.tinymce.com/wiki.php/Configuration | |
| var config = {}; |
| { | |
| "af": "Afrikaans", | |
| "af-ZA": "Afrikaans (Suid-Afrika)", | |
| "am": "አማርኛ", | |
| "am-ET": "አማርኛ (ኢትዮጵያ)", | |
| "ar": "العربية", | |
| "ar-AE": "العربية (الإمارات العربية المتحدة)", | |
| "ar-BH": "العربية (البحرين)", | |
| "ar-DZ": "العربية (الجزائر)", | |
| "ar-EG": "العربية (مصر)", |
| /* | |
| * base64.js: An extremely simple implementation of base64 encoding / decoding using node.js Buffers | |
| * | |
| * (C) 2010, Nodejitsu Inc. | |
| * | |
| */ | |
| var base64 = exports; | |
| base64.encode = function (unencoded) { |
Select the first five elements:
&:nth-child(-n+5}){
}
| Ember.View.reopen({ | |
| didInsertElement : function(){ | |
| this._super(); | |
| Ember.run.scheduleOnce('afterRender', this, this.afterRenderEvent); | |
| }, | |
| afterRenderEvent : function(){ | |
| // implement this hook in your own subclasses and run your jQuery logic there | |
| } | |
| }); |
| #include <stdio.h> | |
| #include <string.h> | |
| #include <stdlib.h> | |
| #include <pthread.h> | |
| #include <unistd.h> | |
| #include <semaphore.h> | |
| sem_t semaphore; | |
| void threadfunc() { |
| public static Boolean powerCheck(int a) { | |
| return a!=0 && (a & a-1) == 0; | |
| } | |
| public static Boolean recursivePowerCheck(int a){ | |
| if (a == 1) return true; | |
| if (a == 0 || a % 2 != 0) return false; | |
| return recursivePowerCheck(a/2); | |
| } |
| function[r,l] = kmyself(dataSet, k) | |
| % Determine the size of dataSet | |
| [nRow, nCol] = size(dataSet); | |
| % Empty array for cluster assesment | |
| clusterAssment = zeros(nRow,2); | |
| % Setup centroid and choose on to start of with | |
| centroids = zeros(k,nCol); |