Interesting. The corruption was in a math.pow() calculation, representing a compressed filesize prior to a file decompression step. Compressing data, with the

Interesting. The corruption was in a math.pow() calculation, representing a compressed filesize prior to a file decompression step. Compressing data, with the increased information density & greater number of CPU instructions involved, seems obviously to increase the exposure to corruption/ bitflips. What I did wonder was why compress the filesize as an exponent? One would imagine that representing as a floating-point exponent would take lots of cycles, pretty much as many bits, and have nasty precision inaccuracies at larger sizes.