Quicky 5 min presentation that escalated into 30 mins after some questions. The slides are somewhat terse. A couple of quick points that might help: * f.partial (partial application) "locks" a parameter passed to a function. Those not locked remain free. Suppose following: f(a, b). g = partial(f, 'foo'). g('bar) == f('foo', 'bar') * The bit at generators (see QuickCheck) makes probably a bit more sense if you read it this way "for a in a number list, make sure that choose(a) is between number bounds (min/max)". Essentially all it does is to exercise the function using a bunch of randomly generated asserts such as this.

1. s and gene rators.js
suite.j
rock m/
n
Juho Vepsäläine

2. suite.js
#!/usr/bin/env node
var suite = require('suite.js');
var f = require('./funkit');
suite(f.isDefined, [
'foo', true,
undefined, false
]);

3. mo ar suite.js
suite(f.partial(f.all, f.id), [
['foo'], false,
[['a', 'b', 'c']], true,
[[true, false, true]], false
]);

4. ebraw/suite.js
https://github.com/b

5. generators.js
...
var g = require('generators.js');
suite(f.choose, suite.generate(5000,
[g.list(10, g.number(100))], function(op, a) {
var ret = op(a);
return f.between(-100, 100, ret) || ret;
})
);

6. /generators.js
https://gith ub.com/bebraw