$ uname -r
Hi All! | |
I've recently launched a tool that wraps many of the commands here with a user interface. This desktop application is currently available for macOS. There's a roadmap outlining planned features for the near future. | |
Feel free to request any features you'd like to see, and I'll prioritize them accordingly. | |
One of the most important aspects of this application is that every command executed behind the scenes is displayed in a special log section. This allows you to see exactly what’s happening and learn from it. | |
Here's the link to the repository: https://github.com/Pulimet/ADBugger | |
App Description: | |
ADBugger is a desktop tool designed for debugging and QA of Android devices and emulators. It simplifies testing, debugging, and performance analysis by offering device management, automated testing, log analysis, and remote control capabilities. This ensures smooth app performance across various setups. |
Here are 10 one-liners which show the power of scala programming, impress your friends and woo women; ok, maybe not. However, these one liners are a good set of examples using functional programming and scala syntax you may not be familiar with. I feel there is no better way to learn than to see real examples.
Updated: June 17, 2011 - I'm amazed at the popularity of this post, glad everyone enjoyed it and to see it duplicated across so many languages. I've included some of the suggestions to shorten up some of my scala examples. Some I intentionally left longer as a way for explaining / understanding what the functions were doing, not necessarily to produce the shortest possible code; so I'll include both.
The map
function takes each element in the list and applies it to the corresponding function. In this example, we take each element and multiply it by 2. This will return a list of equivalent size, compare to o
import scala.concurrent.duration._ | |
import scala.concurrent.ExecutionContext | |
import scala.concurrent.Future | |
import akka.pattern.after | |
import akka.actor.Scheduler | |
/** | |
* Given an operation that produces a T, returns a Future containing the result of T, unless an exception is thrown, | |
* in which case the operation will be retried after _delay_ time, if there are more possible retries, which is configured through | |
* the _retries_ parameter. If the operation does not succeed and there is no retries left, the resulting Future will contain the last failure. |
# --- !Ups | |
CREATE TABLE users( | |
email VARCHAR(255) NOT NULL PRIMARY KEY, | |
name VARCHAR(255) | |
); | |
CREATE TABLE subjects( | |
id INTEGER NOT NULL AUTO_INCREMENT PRIMARY KEY, | |
title LONGTEXT NOT NULL, |
package org.backstage; | |
import au.com.bytecode.opencsv.CSVReader; | |
import com.vaadin.Application; | |
import com.vaadin.data.Item; | |
import com.vaadin.data.util.IndexedContainer; | |
import com.vaadin.ui.Table; | |
import com.vaadin.ui.Upload; | |
import com.vaadin.ui.VerticalLayout; | |
import com.vaadin.ui.Window; |
/** | |
* D Holbrook | |
* | |
* Code Club: PO1 | |
* | |
* (*) Define a binary tree data structure and related fundamental operations. | |
* | |
* Use whichever language features are the best fit (this will depend on the language you have selected). The following operations should be supported: | |
* | |
* Constructors |
# --- !Ups | |
CREATE TABLE users( | |
email VARCHAR(255) NOT NULL PRIMARY KEY, | |
name VARCHAR(255) | |
); | |
CREATE TABLE subjects( | |
id INTEGER NOT NULL AUTO_INCREMENT PRIMARY KEY, | |
title LONGTEXT NOT NULL, |
This installs a patched ruby 1.9.3-p327 with various performance improvements and a backported COW-friendly GC, all courtesy of funny-falcon.
You will also need a C Compiler. If you're on Linux, you probably already have one or know how to install one. On OS X, you should install XCode, and brew install autoconf
using homebrew.