bv-little: Efficient little-endian bit vector library
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Warnings:
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This package contains a time- and space- efficient implementation of little-endian bit vectors. Provides implementations of applicable typeclasses and numeric conversions.
The declared cost of each operation is either worst-case or amortized.
For an implementation of big-endian bit vectors, use the bv package.
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Properties
| Versions | 0.1.0.0, 0.1.1, 0.1.2, 1.0.0, 1.0.0, 1.0.1, 1.1.0, 1.1.1, 1.3.0, 1.3.1, 1.3.2 |
|---|---|
| Change log | changelog.md |
| Dependencies | base (>=4.5.1 && <5), deepseq, hashable, integer-gmp, keys, mono-traversable, mono-traversable-keys, primitive, QuickCheck, semigroups, text-show [details] |
| License | BSD-3-Clause |
| Copyright | (c) Alex Washburn 2018 |
| Author | Alex Washburn |
| Maintainer | hackage@recursion.ninja |
| Category | Data, Bit Vectors |
| Home page | https://github.com/recursion-ninja/bv-little |
| Bug tracker | https://github.com/recursion-ninja/bv-little/issues |
| Source repo | head: git clone https://github.com/recursion-ninja/bv-little |
| Uploaded | by recursion_ninja at 2019-02-01T19:51:17Z |
Modules
[Index]
- Data
- BitVector
Downloads
- bv-little-1.0.0.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
Maintainer's Corner
Package maintainers
For package maintainers and hackage trustees
Readme for bv-little-1.0.0
[back to package description]Efficient little-endian bit vector Haskell library
This package contains an efficient implementation of little-endian bit vectors. It implements most applicable typeclasses and also conversions to and from signed or unsigned numbers. Care has been taken to balance the number of transitive dependencies with respect to functionality provided.
For an implementation of big-endian bit vectors, use the bv package.
Tests
The test suite ensures that all typeclass instances are "lawful" and that data-structure–specific functionality is well defined.
The TestSuite.hs file contains the specification. It can be run by invoking any of the following commands:
-
cabal new-test -
cabal test -
stack test
Benchmarks
The benchmarks provide an empirical check for the asymptotic complexity of data structure operations and also provide easy metrics for detecting performance regressions.
The Benchmaks.hs file contains these metrics. It can be run by invoking any of the following commands:
-
cabal new-bench -
cabal bench -
stack bench