Like an array, but rounder.
- Huh?
- What's it useful for?
- How do I install it?
- How do I use it?
- Is there a change log?
- How do I set up the dev environment?
- What license is it released under?
Hoopy is a circular array
data type.
It extends Array
so that out-of-bounds indices
wrap back round
to the start of the array
(or if they're negative indices,
they wrap back round
to the end of the array).
If you want a fixed-length buffer for streamed I/O, Hoopy can do that for you.
Via npm
:
npm i hoopy --save
Or if you just want the git repo:
git clone [email protected]:philbooth/hoopy.git
const Hoopy = require('hoopy');
const hoopy = new Hoopy(10);
assert(Array.isArray(hoopy));
You must pass
a size
argument
to the Hoopy
constructor,
otherwise it will throw.
for (let i = 0; i < hoopy.length; ++i) {
hoopy[i] = i;
console.log(hoopy[i]);
}
You can read and write array items using square brackets for indexing as you would with a normal array. However, if you write to an out-of-bounds index, it will not increase the length of the array. Instead the index is applied modulo the array length, wrapping back round to the start. Negative indices work in reverse, wrapping back round to the end of the array.
The methods
push
, pop
, shift
and unshift
will throw if called.
Future versions of the library
may implement sane behaviour
for them.
All of the other Array
methods
work normally.
hoopy.grow(50);
The grow
method
adds items to the array.
It takes one argument,
which is the number
of items to grow the array by.
The new length of the array
will be the old length
plus the number you pass to grow
.
If the current state of the array
includes overflowed indices,
grow
will take care
to move those items
in to the freshly-created
available space,
so that the correct order is maintained
for your data.
The caller is responsible
for ensuring they don't overwrite
unprocessed items.
If you need to increase
the size of the array,
you must call grow
.
Yes.
To install the dependencies:
npm i
To run the tests:
npm t
To lint the code:
npm run lint
MIT.