Programs as Values

Source code of the "Programs as Values: The foundations of next-gen concurrent programming" tech talk.

Extras

Referential Transparency

Referential transparency is a property of expressions, which dictates that you can always replace a variable with the expression it refers, without altering in any way the behaviour of the program.
In the same way, you can always give a name to any expression, and use this new variable in all the places where the same expression was used; and, again, the behaviour of the program must remain the same.

Let's see in practice what does that means:

val data = List(1, 2, 3)
val first = data.head
val result = first + first
println(result)

This little program will print 2 since first refers to the head of data; which is 1
Now, let's see what happens if we replace the first variable with its expression.

val data = List(1, 2, 3)
val result = data.head + data.head
println(result)

The result will be the same since data.head will always return 1
Thus, we can say that List#head is referentially transparent.

Let's now see and example that breaks the property:

val data = List(1, 2, 3).iterator
val first = data.next()
val result = first + first
println(result)

Again, the above program will print 2; because, first will evaluate to data.next(), which on its first call will return 1
But, this time the result will change if we replace first with the expression it refers to:

val data = List(1, 2, 3).iterator
val result = data.next() + data.next()
println(result)

In this case, the program will print 3; because, the first data.next() will return 1 but the second call will return 2, so result will be 3
As such, we can say that Iterator#next() is NOT referentially transparent.

Note: Expressions that satisfy this property will be called "values".
Additionally, if a program is made up entirely of referentially transparent expressions (values), then you may evaluate it using the "substitution model".

Composition

Composition is a property of systems, where you can build complex systems by composing simpler ones. In consequence, it also means that you can understand complex systems by understating its parts and the way the compose.

Note: Composition is not a binary attribute like Referential Transparency, but rather an spectrum; the more compositional our programs are then they will be easier to refactor.

Monads

The (in)famous "M" word, Monads are a mechanism used to solve a fundamental problem that you will find when using the "Programs as Values" paradigm.
To understand them, let's first understand the problem.

When our programs only manipulate plain values using functions (which are also values), it is very simple to compose those functions together into bigger ones.
For example, if we had a function f: A => B and a function: g: B => C then creating a function h: A => C is as simple as h = a => g(f(a))

However, what happens when we now have effectual values like Option[A] or IO[A], and effectual functions like f: A => F[B] and g: B => F[C]; we can not longer use traditional function composition to create h: A => F[C]
Although, we can do this:

val h: A => F[C] = { a: A =>
  f(a).flatMap(g)
}

Nevertheless, this requires the assumption that such flatMap function exists and has the type signature we want, that is what Monads are, a Monad is just a triplet of a:

A type constructor (F[_])
A flatMap(fa: F[A])(f: A => F[B]): F[B] implementation for that type constructor (and also pure(a: A): F[A])
A proof that such implementation satisfies some laws

More importantly, such laws guarantee that such flatMap function somehow represents the concept of sequence. Meaning that for IO flatMap always means do this and then do that, just like a ; on imperative languages.

pslcorp / programs-as-values Goto Github PK