Suhail Shergill suhailshergill

Revisiting Tagless Final Interpreters

Tageless Final interpreters are an alternative to the traditional Algebraic Data Type (and generalized ADT) based implementation of the interpreter pattern. This document presents the Tageless Final approach with Scala, and shows how Dotty with it's recently added implicits functions makes the approach even more appealing. All examples are direct translations of their Haskell version presented in the Typed Tagless Final Interpreters: Lecture Notes (section 2).

The interpreter pattern has recently received a lot of attention in the Scala community. A lot of efforts have been invested in trying to address the biggest shortcomings of ADT/GADT based solutions: extensibility. One can first look at cats' Inject typeclass for an implementation of [Data Type à la Carte](http://www.cs.ru.nl/~W.Swierstra/Publications/DataTypesA

	object RDDasMonadPlus {
	import org.apache.spark.{ SparkContext }
	import org.apache.spark.rdd.RDD
	import scalaz._
	import Scalaz._
	import scala.reflect.ClassTag

	// RDDMPlus is the type for which we will define the Monad instance. it can be
	// constructed from an RDD using the RDDClassTag constructor. this
	// implementation is based on insights from

	{-# LANGUAGE FlexibleContexts #-}

	import Data.Array
	import Data.Array.IO
	import Data.Foldable
	import Data.List hiding (sum)
	import System.Random
	import Control.Monad.State
	import Prelude hiding (sum)
	--import Debug.Trace