| import com.android.volley.toolbox.HurlStack; | |
| import com.squareup.okhttp.OkHttpClient; | |
| import java.io.IOException; | |
| import java.net.HttpURLConnection; | |
| import java.net.URL; | |
| /** | |
| * An {@link com.android.volley.toolbox.HttpStack HttpStack} implementation which | |
| * uses OkHttp as its transport. | |
| */ |
#Intro
Kotlin is a new programming language for the JVM. It produces Java bytecode, supports Android and generates JavaScript. The latest version of the language is Kotlin M5.3
Kotlin project website is at kotlin.jetbrains.org.
All the codes here can be copied and run on Kotlin online editor.
Let's get started.
| function dex-method-count() { | |
| cat $1 | head -c 92 | tail -c 4 | hexdump -e '1/4 "%d\n"' | |
| } | |
| function dex-method-count-by-package() { | |
| dir=$(mktemp -d -t dex) | |
| baksmali $1 -o $dir | |
| for pkg in `find $dir/* -type d`; do | |
| smali $pkg -o $pkg/classes.dex | |
| count=$(dex-method-count $pkg/classes.dex) | |
| name=$(echo ${pkg:(${#dir} + 1)} | tr '/' '.') |
| /* Copyright 2013 Google Inc. | |
| Licensed under Apache 2.0: http://www.apache.org/licenses/LICENSE-2.0.html */ | |
| package com.example.latlnginterpolation; | |
| import android.animation.ObjectAnimator; | |
| import android.animation.TypeEvaluator; | |
| import android.animation.ValueAnimator; | |
| import android.annotation.TargetApi; | |
| import android.os.Build; |
| public void onClickShare(View v) { | |
| Intent photoPicker = new Intent(Intent.ACTION_PICK); | |
| photoPicker.setType("image/*"); | |
| startActivityForResult(photoPicker, REQ_SELECT_PHOTO); | |
| } | |
| @Override | |
| protected void onActivityResult(int requestCode, int resultCode, Intent data) { | |
| super.onActivityResult(requestCode, resultCode, data); |
For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.
Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.
You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.
For iPhone app developers. Emphasis on getting the fastest app store approval. Everything stated as suggestion made into an imperative. When "violating" these imperatives, you can check for yourself what the caveats are. Generally speaking, deviating will more likely cause your app to be hung up in approval.
You can read this entire document in about 20 minutes. This is faster than reading and understanding the entire Human Interface Guidelines.
| /* | |
| * Copyright 2014 Chris Banes | |
| * | |
| * Licensed under the Apache License, Version 2.0 (the "License"); | |
| * you may not use this file except in compliance with the License. | |
| * You may obtain a copy of the License at | |
| * | |
| * http://www.apache.org/licenses/LICENSE-2.0 | |
| * | |
| * Unless required by applicable law or agreed to in writing, software |
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
| def toCamelCase(String string) { | |
| String result = "" | |
| string.findAll("[^\\W]+") { String word -> | |
| result += word.capitalize() | |
| } | |
| return result | |
| } | |
| afterEvaluate { project -> | |
| Configuration runtimeConfiguration = project.configurations.getByName('compile') |
