@hackage vector0.10

Efficient Arrays

Installation
In your cabal file:
Dependencies (4)
- base >=4 && <4.7
- deepseq >=1.1 && <1.4
- ghc-prim
- primitive >=0.5 && <0.6
Dependents (2611)
@hackage/arbor-datadog, @hackage/tcod-haskell, @hackage/hsndfile-vector, @hackage/timeseries, @hackage/pgmq-hasql, @hackage/gridland, Show all…

boundschecks

(on by default)

Enable bounds checking

unsafechecks

(off by default)

Enable bounds checking in unsafe operations at the cost of a significant performance penalty

internalchecks

(off by default)

Enable internal consistency checks at the cost of a significant performance penalty

An efficient implementation of Int-indexed arrays (both mutable and immutable), with a powerful loop optimisation framework .

It is structured as follows:

Data.Vector: Boxed vectors of arbitrary types.
Data.Vector.Unboxed: Unboxed vectors with an adaptive representation based on data type families.
Data.Vector.Storable: Unboxed vectors of Storable types.
Data.Vector.Primitive: Unboxed vectors of primitive types as defined by the primitive package. Data.Vector.Unboxed is more flexible at no performance cost.
Data.Vector.Generic: Generic interface to the vector types.

There is also a (draft) tutorial on common uses of vector.

Please use the project trac to submit bug reports and feature requests.

Changes in version 0.10