Brainfold On Python, game development and everything

More types and results

I implemented some new types for PyEigen, including a 4x4 matrix class and benchmarks for it. Same methods as last time, but quite different results.

Benchmark results

PyEigen is still fastest by far, which is promising. This time it was about 5-10x faster than cgkit1, which was again the second fastest. You might also notice that vectypes is missing. For this test, it was so slow that I had to leave it out; other results would have been invisible if I had fitted the vectypes results in the graph. In the worst case, it was over 1000x slower than PyEigen! Euclid is missing addition and scalar multiplication scores since it doesn't support those operations. NumPy performed much better. There has to be a faster way to do vector cross product in NumPy, since matrix multiplication was much faster than cross product. But it's not a big deal anymore since PyEiglet is so much faster than anything else.