Diecast Collection

Recently, I added 2 cars to my diecast collection. A Kennedy Limo and a Duesenberg. These are fantastic looking cars and the full album is online here:

What a beautiful car.

Java Bullshit

Recently I had a couple of large gzip files that contained data from a single source and since I wanted to keep things together, I decided to store the files as one large gz file. Any sane person would do:


cat file1.gz file2.gz > file3.gz

And the result is going to be a valid Gzip file. Next, I had a clojure process go and mine this gz file (which when decompressed should have data on each line so we can line-seq over it and things should be fine.

Of course fucking not. Turns out that such a gzip file that every piece of shit language's API can read cannot be read by yours truly: GZIPInputStream that Java uses.

Now, I have a 10+ gig Gzip file that java cannot read. This is obviously not fucking documented anywhere and I had to find this out in #clojure (the IRC room for clojure). In fact here is a Bug report closed as a wontfix: http://bugs.sun.com/bugdatabase/view_bug.do?bug_id=4691425

I fail to understand how something with so many sugar daddies can fail to even put together a GZIPInputStream that implements the full spec.

There is so much fail in everything I use with Java. So much fail.

This cancer needs to end.

Clojure For Scripting

I have been trying to make Clojure my default language for scripting and since I am a pillock, I used a new project for almost single-file code pieces.lein exec is apparently the way to accomplish this. This is going to make life easier henceforth.

Links:

Links for 13-Apr-2013

I was recently studying some material for scribe notes for a class on Graphical Models. In Bayesian stats, there is such a thing as the De Finetti's Theorem. Scribe notes from Michael Jordan's class contained excellent content on the topic. The takeaway message from the theorem is that (this is an excerpt from the notes I've linked to):

 p(x_{1}, x_{2}, x_{3}, x_{4}, \dots, x_{n}) = \int \! p(x_{1} | \theta) d \! \theta

  • There must exist a parameter θ.
  • There must exist a likelihood p(x|θ).
  • There must exist a distribution on θ.
  • These quantities exist to make a sequence of random variables (observed data) conditionally independent.

 

Year 22

So I turned 22 yesterday and while I haven't accomplished much last year, I plan to change that. First, in the mind department, I will read books from Africa. First, I am going to try and learn the stories behind Nigerian personalities (I lived there for a year) and I think Achebe is a good place to start (Achebe was an Igbo who was around during the Nigerian Independence). Next, I will want to study about at least two wars in the Area and Liberia. Let us see how that goes.

Apart from that, my project for the year has begun taking shape and I am feeling a bit better about my PhD career. Hopefully I will do well here on and accomplish a lot.

Next, I need to lose weight. I take to comfort food and when things are not going well, I put on those pounds. That needs to change.