How to resolve the algorithm Monads/List monad step by step in the JavaScript programming language

Published on 12 May 2024 09:40 PM

How to resolve the algorithm Monads/List monad step by step in the JavaScript programming language

Table of Contents

Problem Statement

A Monad is a combination of a data-type with two helper functions written for that type. The data-type can be of any kind which can contain values of some other type – common examples are lists, records, sum-types, even functions or IO streams. The two special functions, mathematically known as eta and mu, but usually given more expressive names like 'pure', 'return', or 'yield' and 'bind', abstract away some boilerplate needed for pipe-lining or enchaining sequences of computations on values held in the containing data-type. The bind operator in the List monad enchains computations which return their values wrapped in lists. One application of this is the representation of indeterminacy, with returned lists representing a set of possible values. An empty list can be returned to express incomputability, or computational failure. A sequence of two list monad computations (enchained with the use of bind) can be understood as the computation of a cartesian product. The natural implementation of bind for the List monad is a composition of concat and map, which, used with a function which returns its value as a (possibly empty) list, provides for filtering in addition to transformation or mapping.

Demonstrate in your programming language the following:

Let's start with the solution:

Step by Step solution about How to resolve the algorithm Monads/List monad step by step in the JavaScript programming language

Array.prototype.bind() method:

  • Purpose: Binds a function to each element in an array, flattening the results into a single array.
  • Implementation:
    • Maps the array to the given function, creating an array of arrays.
    • Reduces this array of arrays into a single array by concatenating them.

Array.unit() method:

  • Purpose: Wraps an element in an array.
  • Implementation:
    • Returns an array containing the given element.

Array.lift() method:

  • Purpose: Lifts a function into a function that operates on arrays.
  • Implementation:
    • Returns a function that takes an element, applies the given function to it, and wraps the result in an array.

inc() function:

  • Purpose: Increments a number.

doub() function:

  • Purpose: Doubles a number.

listy_inc and listy_doub functions:

  • Purpose: Bind a function to an array.
  • Implementation:
    • Use Array.lift() to create functions that operate on arrays.

Example:

[3, 4, 5].bind(listy_inc).bind(listy_doub); // [8, 10, 12]
  • Calls listy_inc on each element in [3, 4, 5], resulting in [4, 5, 6].
  • Calls listy_doub on each element in [4, 5, 6], resulting in [8, 10, 12].

Set Comprehension Implementation with Monads:

  • Purpose: Implements a set comprehension that finds Pythagorean triples within a given range using a monadic approach.
  • Overview:
    • Represents the set comprehension as a nested series of bind() calls.
    • Each bind() call encodes a filtering condition and the construction of a result list.
    • The final result is obtained by concatenating the results of the nested bind() calls.
  • Details:
    • rng(1, n) generates a range of integers from 1 to n.
    • bind(xs, f) applies the function f to each element in xs and concatenates the results.
    • The unit() function wraps a value in a list.
    • The filter() function is encoded using if (condition) unit(result) : [].
  • Example:
    • For n = 25, the set comprehension returns [(3, 4, 5), (6, 8, 10), ..., (12, 16, 20)].

Source code in the javascript programming language

Array.prototype.bind = function (func) {
  return this.map(func).reduce(function (acc, a) { return acc.concat(a); });
}

Array.unit = function (elem) {
  return [elem];
}

Array.lift = function (func) {
  return function (elem) { return Array.unit(func(elem)); };
}

inc = function (n) { return n + 1; }
doub = function (n) { return 2 * n; }
listy_inc = Array.lift(inc);
listy_doub = Array.lift(doub);

[3,4,5].bind(listy_inc).bind(listy_doub); // [8, 10, 12]


(function (n) {

    // ENCODING A SET COMPREHENSION IN TERMS OF A LIST MONAD

    // Pythagorean triples drawn from integers in the range [1..25]


    // Each range of integers here represents the set of possible values for the variable.
    // Where the test returns true for a particular [x, y, z] triple, we return that triple
    // to the expected data type, wrapping it using the unit or return function;

    // Where the test returns false, we return the empty list, which vanishes from the 
    // results set under concatenation, giving us a convenient encoding of filtering.

    // {(x, y, z) | x <- [1..n], y <- [x+1..n], z <- [y+1..n], (x^2 + y^2 = z^2)} 

    return bind(rng(1,     n), function (x) {
    return bind(rng(1 + x, n), function (y) {
    return bind(rng(1 + y, n), function (z) {

        return (x * x + y * y === z * z) ? unit([x, y, z]) : [];

    })})});


    // Monadic return/unit/inject for lists just wraps a value in a list
    // a -> [a]
    function unit(a) {
        return [a];
    }

    // Bind for lists is simply ConcatMap
    // which applies a function f directly to each value in the list,
    // and returns the set of results as a concat-flattened list
    // [a] -> (a -> [b]) -> [b]
    function bind(xs, f) {
        return [].concat.apply([], xs.map(f));
    }



    // we will need some ranges of integers, each expressing a range of possible values
    // [m..n]
    function rng(m, n) {
        return Array.apply(null, Array(n - m + 1))
            .map(function (x, i) {
                return m + i;
            });
    }

})(25);


  

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