Machine Math and Raku

In the machine world, we have Int and Num. A High Level Language such as Raku is a abstraction to make it easier for humans. Humans expect decimal math 0.1 + 0.2 = 0.3 to work.

Neither Int nor Num can do this! Huh? How can that be?

Well Int is base-2 and decimals are base-10. And Num (IEEE 754 Floating Point) is inherently imprecise.

Luckily we have Rat. Raku automatically represent decimals and other rational numbers as a ratio of two integers. Taking into account all the various data shuffling any program creates, the performance is practically as fast as Int. Precision, accuracy and performance are maintained for the entire realm of practical algebraic calculations.

And when we get to the limit of Rat (at around 3.614007241618348e-20), Raku automatically converts to a Num. After this, precision cannot be recovered – but accuracy and dynamic range are maintained. Modern Floating Point Units (FPUs) make Num nearly as fast as Int so performance is kept fast.

Here, we have smoothly transitioned to the world of physical measurements and irrational numbers such as square root and logarithms. It’s a one way trip. (Hint: If you want a Num in the first place, just use ‘e’ in the literal.)

Good call, Raku!

Footnote: FatRat and BigInt are not important for most use cases. They incur a performance penalty for the average program and rightly belong in library extensions, not the core language.


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