It’s five years ago this week that I first released Uncommons Maths as a standalone project spun-off from an early version of the Watchmaker Framework. Uncommons Maths is a Java library that provides, among other things, various classes for working with random numbers, probability distributions and combinatorics. There hasn’t been a release in over two years so today I’ve published a maintenance release, version 1.2.3, on GitHub.
There are two main changes in this version. Firstly, thanks to a contribution from Dave LeBlanc, the Uncommons Maths JAR file is now a valid OSGi bundle. Secondly, I found and fixed a pretty fundamental bug in the
convertBytesToLong method of
BinaryUtils. The fact this bug went undetected for so long suggests that nobody is actually using this method. It also reinforces that full test coverage is worthless if you don’t select your test inputs carefully.
Finally, the documentation has been updated to make it clear that none of the RNG implementations support the seeding mechanism inherited from the
java.util.Random base class. The reason for this is that the
setSeed method only takes a single
long argument. This means it’s not possible to provide more than 64 bits of entropy, which is insufficient for most of the Uncommons Maths RNGs. In practice calling this method on an RNG instance has no effect. Ideally the method would be over-ridden to throw
UnsupportedOperationException but to do so is not possible because
setSeed is invoked internally by the
java.util.Random constructors. If it threw an exception it would not be possible to create an instance of an object that inherits from