# Overview

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# A library for bit-vector arithmetic in Haskell

Bit-vectors are represented as a pair of a *size* and a *value*,
where sizes are of type *Int* and values are *Integer*.
Operations on bit-vectors are translated into operations on integers.
Remarkably, most operations taking two or more bit-vectors, will
perform zero-padding to adjust the size of the input bit-vectors
when needed (eg. when adding bit-vectors of different sizes).
Indexing operators don't do this, to avoid masking *out of bounds*
errors.

## Other libraries

There exist many Haskell libraries to handle bit-vectors, but to the
best of my knowledge *bv* is the only one that adequately supports
bit-vector arithmetic.

If you do not need bit-vector arithmetic, then you may consider using any of these other libraries, which could offer more compact and efficient implementations of bit arrays.

## Importing and name clashes

Many exported functions name-clash with Prelude functions, it is therefore recommended to do a qualified import:

import Data.BitVector ( BV ) import qualified Data.BitVector as BV

## Running the test suite

If you wish to run the test suite simply:

cabal configure -ftest cabal build

Then run:

dist/build/bv-tester/bv-tester

## Performance

**Tip:** For best performance compile with *-fgmp*.

**Tip:** If you are brave enough, compile with *-f -check-bounds* (disables index bounds checking).

The *BV* datatype is simply a pair of an *Int*, to represent the
*size*, and an arbitrary-precision *Integer*, to represent the
*value* of a bit-vector.
Both fields are strict, and we instruct GHC to unbox strict fields.
Further, we ask GHC to inline virtually all bit-vector operations.
When inlined, GHC should be able to remove any overhead associated
with the *BV* data type, and unbox bit-vector sizes.
Performance should depend mostly on the *Integer* data type
implementation.