hospitals-and-residents v1.2.0

hospitals-residents

www.npmjs.com/package/hospitals-and-residents

A generalized solution for working with matchings problems similar to the Hospitals & Residents problem. This problem operates on two types of entities, the defining characteristics of which are the following:

• Resident-type
  • a single resident is assigned to a single hospital
• Hospital-type
  • a single hospital may be assigned to many different residents

Installation

To install the hospitals and residents package and save it into your package.json, type

npm install hospitals-and-residents --save

Usage

Initially, make sure to include the module at some point:

var hr = require('hospitals-and-residents');

Entity Definitions

To begin, classes for each type (hospital-type and resident-type) of entity can be written. These implementations differ vastly across different applications (students and courses, applicants and universities, residents and hospitals...). e.g. (in this case the original problem is used)

function Hospital(_preferences, _minYearsExperience) {
	this.preferences = _preferences;
	this.minYearsExperience = _minYearsExperience;
}

function Resident(_preferences, _yearsExperience) {
	this.preferences = _preferences;
	this.yearsExperience = _yearsExperience;
}

In this example, both entities will have a list of ID's ranking their top choices. In addition, a hard constraint of years of experience will be added to demonstrate functionality.

Legality and Cost Functions

Next we must override the unwritten legality and cost functions, which the package uses to construct an acceptable matching and optimize it for cost.

// as long as resident meets the minimum years of experience requirement
hr.checkLegality = function(hosp, res) {
	return res.yearsExperience >= hosp.minYearsExperience;
}

// sum of ratings from each other's preferences
hr.softCost = function(hosp, res) {
	var cost, rating;
	rating = res.preferences.indexOf(hosp.id);
	cost = rating == -1 ? res.preferences.length : rating;

	int = hosp.preferences.indexOf(res.id);
	cost += rating == -1 ? hosp.preferences.length : rating;

	return cost;
}

Instantiation

In order to instantiate objects to pass to the matching algorithm, they must first be modified in order to ensure they have certain basic properties. Each hospital-entity must have a maximum capacity, and each resident-entity must have a capacity value. To handle this modification, objects should be processed through the module's init functions while being instantiated. i.e.

// initHospital( <MAX CAPACITY>, <CUSTOM OBJECT> );
var hospital1 = hr.initHospital(40, new Hospital([15, 2, 7], 5));

or for resident-entities:

// initResident( <CAPACITY VALUE>, <CUSTOM OBJECT> );
var resident1 = hr.initResident(1, new Resident([3, 18, 36], 7));

In the case of the resident, the capacity value designates the number of capacity "units" this resident should represent. For instance, a single resident with capacity value 3 cannot be assigned to a hospital with only 2 remaining seats. This is considered a capacity violation. This functionality is useful for situations where resident entities themselves represent groups rather than single entities.

Matching

And finally, to calculate a matching solution, call findMatching.

hr.findMatching( [ array of hospitals ], [ array of residents ], function(error) {
	// handle error here
});

An error will be thrown if the total capacity of all hospitals cannot hold the total capacity of all residents, or if the backtracking algorithm finds no acceptable solution.

To Note:

• The algorithm will operate on the objects themselves and will assign each resident-entity a pair id under the property assigned_id.
• At any point in the matching, an array ID's of all resident-entities assigned to any given hospital-entity will be maintained under its assigned_ids attribute.