Full text search engine in JavaScript environment based on FM-index algorithm.
Write a short description of the motivation behind the creation and maintenance of the project. This should explain why the project exists.
import "oktavia.jsx";
class _Main {
static function main(argv : string[]) : void
{
// Write simple usage here!
}
}
var oktavia = require('oktavia.common.js').oktavia;
// Write simple usage here!
// use oktavia.amd.js
define(['oktavia'], function (oktavia) {
// Write simple usage here!
});
<script src="oktavia.js}}" type="text/javascript"></script>
<script type="text/javascript">
window.onload = function () {
var classObj = JSX.require("src/oktavia.js").oktavia;
var obj = new classObj();
});
</script>
<script src="oktavia.global.js}}" type="text/javascript"></script>
<script type="text/javascript">
window.onload = function () {
var obj = new oktavia.oktavia();
});
</script>
$ npm install oktavia
Write reference here!
Don't be afraid JSX! If you have an experience of JavaScript, you can learn JSX quickly.
- Static type system and unified class syntax.
- All variables and methods belong to class.
- JSX includes optimizer. You don't have to write tricky unreadalbe code for speed.
- You can use almost all JavaScript API as you know. Some functions become static class functions. See reference.
To create development environment, call following command:
$ npm install
- Repository: git://github.com/shibukawa/oktavia.git
- Issues: https://github.com/shibukawa/oktavia/issues
$ grunt test
$ grunt build
$ grunt doc
- shibukawa / [email protected]
MIT
Complete license is written in LICENSE.md
.