# mod

Fast type-safe modular arithmetic https://github.com/Bodigrim/mod

 LTS Haskell 15.6: 0.1.1.0 Stackage Nightly 2020-04-05: 0.1.1.0 Latest on Hackage: 0.1.1.0

See all snapshots `mod` appears in

#### Module documentation for 0.1.1.0

This version can be pinned in stack with:`mod-0.1.1.0@sha256:57f230d5664b1c311d1044c259ef880875e4b3bcbfc7c57eab3bf03fce87f445,1838`

# mod

Modular arithmetic, promoting moduli to the type level, with an emphasis on performance. Originally a part of arithmoi package.

``````> :set -XDataKinds
> 4 + 5 :: Mod 7
(2 `modulo` 7)
> 4 - 5 :: Mod 7
(6 `modulo` 7)
> 4 * 5 :: Mod 7
(6 `modulo` 7)
> 4 / 5 :: Mod 7
(5 `modulo` 7)
> 4 ^ 5 :: Mod 7
(2 `modulo` 7)
``````

## Competitors

There are other Haskell packages, employing the very same idea of moduli on the type level, namely `modular` and `modular-arithmetic`. Unfortunately, both of them fall behind in terms of performance. Here is a brief comparison:

Discipline `mod` `modular` `modular-arithmetic`
Small `(*)` Fast Slow Slow
Inversion Fast N/A Slow
Power Fast Slow Slow
Overflows Safe Safe Unsafe
• Addition. It appears that `modular` and `modular-arithmetic` implementations of the modular addition involve divisions, while `mod` completely avoids this costly operation. It makes difference even for small numbers; e. g., `sum [1..10^7]` becomes 5x faster. For larger integers the speed up is even more significant, because the computational complexity of division is not linear.

• Small `(*)`. When a modulo fits a machine word (which is quite a common case on 64-bit architectures), `mod` implements the modular multiplication as a couple of CPU instructions and neither allocates intermediate arbitrary-precision values, nor calls `libgmp` at all. For computations like `product [1..10^7]` this gives a 3x boost to performance in comparison to other libraries.

• Inversion. This package relies on `libgmp` for modular inversions. Even for small arguments it is about 5x faster than the native implementation of modular inversion in `modular-arithmetic`.

• Power. This package relies on `libgmp` for modular exponentiation. Even for small arguments it is about 2x faster than competitors.

• Overflows. At first glance `modular-arithmetic` is more flexible than `mod`, because it allows to specify the underlying representation of a modular residue, e. g., `Mod Integer 100`, `Mod Int 100`, `Mod Word8 100`. We argue that this is a dangerous freedom, vulnerable to overflows. For instance, `20 ^ 2 :: Mod Word8 100` returns `44` instead of expected `0`. Even less expected is that `50 :: Mod Word8 300` appears to be `6` (remember that type-level numbers are always `Natural`).

## Citius, altius, fortius!

If you are looking for an ultimate performance and your moduli fit into `Word`, try `Data.Mod.Word`, which is a drop-in replacement of `Data.Mod`, but offers 3x faster addition, 2x faster multiplication and much less allocations.

## Whatâ€™s next?

This package was cut out of `arithmoi` to provide a modular arithmetic with a light dependency footprint. This goal certainly limits the scope of API to the bare minimum. If you need more advanced tools (the Chinese remainder theorem, cyclic groups, modular equations, etc.) please refer to Math.NumberTheory.Moduli.

# 0.1.1.0

• Add `Data.Mod.Word`.

# 0.1.0.0

• Initial release
Depends on 4 packages(full list with versions):