@hackage vector0.6.0.2

Efficient Arrays

Installation
In your cabal file:
Dependencies (3)
- base >=4.5 && <5
- ghc >=6.9
- primitive >=0.3 && <0.4
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 fusion optimization 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 since version 0.6.0.1

Changes since version 0.6

Changes since version 0.5