λ Functional
Functional programming treats computation as the evaluation of mathematical functions and avoids changing-state and mutable data. It is declarative, which means expressions instead of statements.
Siler is bundled with the
Siler\Functional namespace. It brings some function declarations that aids the work with another first-class and high-order PHP functions!Returns a Closure that returns its given arguments.
use Siler\Functional as λ;
array_map(λ\identity(), [1, 2, 3]);
// [1, 2, 3]
Doesn't seem useful at first, but working with the functional paradigm, you'll find the reason shortly.
Almost like
identity(), but it always returns the given value.use Siler\Functional as λ;
array_map(λ\always('foo'), range(1, 3));
// [foo, foo, foo]
A functional if/then/else.
use Siler\Functional as λ;
$pred = λ\if_else(λ\equal('foo'))(λ\always('is foo'))(λ\always('isnt foo'));
echo $pred('foo'); // is foo
echo $pred('bar'); // isnt foo
Partial application refers to the process of fixing a number of arguments to a function, producing another function of smaller arity. Given a function, we might fix (or 'bind') the first argument, producing a function of type .
https://en.wikipedia.org/wiki/Partial_application
Nothing like a good example:
use Siler\Functional as λ;
$add = function ($a, $b) {
return $a + $b;
};
$add2 = λ\partial($add, 2);
echo $add2(3); // 5
Works with any
callable:use Siler\Functional as λ;
$explodeCommas = λ\partial('explode', ',');
print_r($explodeCommas('foo,bar,baz'));
/**
* Array
* (
* [0] => foo
* [1] => bar
* [2] => baz
* )
*/
A pattern-match attempt. Truthy Closure evaluations on the left calls and short-circuits evaluations on the right.
use Siler\Functional as λ;
$nameOf = λ\match([
[λ\equal(1), λ\always('one')],
[λ\equal(2), λ\always('two')],
[λ\equal(3), λ\always('three')],
]);
echo $nameOf(1); // one
echo $nameOf(2); // two
echo $nameOf(3); // three
Last modified 3yr ago