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I'm doing a project for uni in Omnet (C++ framework that should facilitate working with networks of queues, simulating and displaying statistics).
I needed to retrieve a random value from an exponential distribution, and the function to do so requires a random number generator as input. The framework has 2 implementations of the RNG and I picked the first one.
I spent 3 hours trying every possible thing, using both the exponential() function and its class wrapper (both provided by the framework), it was always returning 0 or NaN.
The RNG was spitting out values correctly, so I thought it was okay.
When I was almost ready to give up, I figured I could try and change to the second implementation of RNG, expecting nothing to change. And it fucking worked.
Zero reports on this behavior on Google, no apparent reason why it would work with one and not with the other when the two RNGs literally implement the same abstract class and spit out the same exact numbers... Just black magic...
Oh and cherry on top, it works with the raw function but not with the class wrapper on that same function... IF YOU GOTTA IMPLEMENT SOMETHING IN YOUR DAMN FRAMEWORK THAT DOESN'T WORK, FUCKING DON'T! 1 combination working out of 4 is not good! Or at least document it!
Sorry just had to share my pain
rant
c++
omnet
rng