Integers of different sizes and endianness, floating point numbers with a radix of 2 that can result in rounding and cancellation errors and NaNs, and bfloat16 for AI.
Double
Did you know that, in 64-bit double floating-point format, the number pi is 4009 21FB 6000 0000? Now you can discover that, and reverse from hex to regular decimal, using Mints.
A new tailor-made log view shows what’s happened in interactions with the App Store, and can give clues as to the cause of delays and failures.
Close to 0.0, there are huge numbers of different floating-point Doubles, but their value gets greater, they are far fewer.
M1 Macs may be as fast as greased lightning, but how good is their numerical accuracy? Can it match that of Intel processors?
