build date | Sun/Oracle JDK Version | OpenJDK Version | HotSpot VM Version |
---|---|---|---|
2006-11-29 | 1.6.0-b105 | 1.6.0-b105 | |
2007-03-14 | 1.6.0_01-b06 | 1.6.0_01-b06 | |
2007-06-22 | 1.6.0_02-b05 | 1.6.0_02-b05 | |
2007-09-24 | 1.6.0_03-b05 | 1.6.0_03-b05 | |
2007-12-14 | 1.6.0_04-b12 | 10.0-b19 |
/* | |
* ATTENTION: | |
* | |
* This layout is now maintained in the `iosched' code.google.com project: | |
* | |
* http://code.google.com/p/iosched/source/browse/android/src/com/google/android/apps/iosched/ui/widget/DashboardLayout.java | |
* | |
*/ | |
/* |
I was at Amazon for about six and a half years, and now I've been at Google for that long. One thing that struck me immediately about the two companies -- an impression that has been reinforced almost daily -- is that Amazon does everything wrong, and Google does everything right. Sure, it's a sweeping generalization, but a surprisingly accurate one. It's pretty crazy. There are probably a hundred or even two hundred different ways you can compare the two companies, and Google is superior in all but three of them, if I recall correctly. I actually did a spreadsheet at one point but Legal wouldn't let me show it to anyone, even though recruiting loved it.
I mean, just to give you a very brief taste: Amazon's recruiting process is fundamentally flawed by having teams hire for themselves, so their hiring bar is incredibly inconsistent across teams, despite various efforts they've made to level it out. And their operations are a mess; they don't real
import urllib2 | |
import json | |
import time | |
# Form: http://digitalpbk.com/stock/google-finance-get-stock-quote-realtime | |
class GoogleFinanceAPI: | |
def __init__(self): | |
self.prefix = "http://finance.google.com/finance/info?client=ig&q=" | |
def get(self,symbol,exchange): |
L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns
Compress 1K bytes with Zippy ............. 3,000 ns = 3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns = 20 µs
SSD random read ........................ 150,000 ns = 150 µs
Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs
Moved to | |
https://github.com/romannurik/android-swipetodismiss |
package com.opentok.media.avc; | |
import java.io.IOException; | |
import java.nio.ByteBuffer; | |
import android.media.MediaCodec; | |
import android.media.MediaCodecInfo; | |
import android.media.MediaFormat; | |
public class AvcEncoder { |
This article is now published on my website: A one-off git repo server.
In the mid-80s, while reading through my roommate's collection of Scientific American back issues, I encountered this introduction to Lisp written by Douglas Hofstadter. I found it very charming at the time, and provide it here (somewhat illegally) for the edification of a new generation of Lispers.
In a testament to the timelessness of Lisp, you can still run all the examples below in emacs if you install these aliases:
(defalias 'plus #'+)
(defalias 'quotient #'/)
(defalias 'times #'*)
(defalias 'difference #'-)
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. | |
*/ |