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set.js
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set.js
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/**
* Mnemonist Set
* ==============
*
* Useful function related to sets such as union, intersection and so on...
*/
// TODO: optimize versions for less variadicities
/**
* Variadic function computing the intersection of multiple sets.
*
* @param {...Set} sets - Sets to intersect.
* @return {Set} - The intesection.
*/
exports.intersection = function() {
if (arguments.length < 2)
throw new Error('mnemonist/Set.intersection: needs at least two arguments.');
var I = new Set();
// First we need to find the smallest set
var smallestSize = Infinity,
smallestSet = null;
var s, i, l = arguments.length;
for (i = 0; i < l; i++) {
s = arguments[i];
// If one of the set has no items, we can stop right there
if (s.size === 0)
return I;
if (s.size < smallestSize) {
smallestSize = s.size;
smallestSet = s;
}
}
// Now we need to intersect this set with the others
var iterator = smallestSet.values(),
step,
item,
add,
set;
// TODO: we can optimize by iterating each next time over the current intersection
// but this probably means more RAM to consume since we'll create n-1 sets rather than
// only the one.
while ((step = iterator.next(), !step.done)) {
item = step.value;
add = true;
for (i = 0; i < l; i++) {
set = arguments[i];
if (set === smallestSet)
continue;
if (!set.has(item)) {
add = false;
break;
}
}
if (add)
I.add(item);
}
return I;
};
/**
* Variadic function computing the union of multiple sets.
*
* @param {...Set} sets - Sets to unite.
* @return {Set} - The union.
*/
exports.union = function() {
if (arguments.length < 2)
throw new Error('mnemonist/Set.union: needs at least two arguments.');
var U = new Set();
var i, l = arguments.length;
var iterator,
step;
for (i = 0; i < l; i++) {
iterator = arguments[i].values();
while ((step = iterator.next(), !step.done))
U.add(step.value);
}
return U;
};
/**
* Function computing the difference between two sets.
*
* @param {Set} A - First set.
* @param {Set} B - Second set.
* @return {Set} - The difference.
*/
exports.difference = function(A, B) {
// If first set is empty
if (!A.size)
return new Set();
if (!B.size)
return new Set(A);
var D = new Set();
var iterator = A.values(),
step;
while ((step = iterator.next(), !step.done)) {
if (!B.has(step.value))
D.add(step.value);
}
return D;
};
/**
* Function computing the symmetric difference between two sets.
*
* @param {Set} A - First set.
* @param {Set} B - Second set.
* @return {Set} - The symmetric difference.
*/
exports.symmetricDifference = function(A, B) {
var S = new Set();
var iterator = A.values(),
step;
while ((step = iterator.next(), !step.done)) {
if (!B.has(step.value))
S.add(step.value);
}
iterator = B.values();
while ((step = iterator.next(), !step.done)) {
if (!A.has(step.value))
S.add(step.value);
}
return S;
};
/**
* Function returning whether A is a subset of B.
*
* @param {Set} A - First set.
* @param {Set} B - Second set.
* @return {boolean}
*/
exports.isSubset = function(A, B) {
var iterator = A.values(),
step;
// Shortcuts
if (A === B)
return true;
if (A.size > B.size)
return false;
while ((step = iterator.next(), !step.done)) {
if (!B.has(step.value))
return false;
}
return true;
};
/**
* Function returning whether A is a superset of B.
*
* @param {Set} A - First set.
* @param {Set} B - Second set.
* @return {boolean}
*/
exports.isSuperset = function(A, B) {
return exports.isSubset(B, A);
};
/**
* Function adding the items of set B to the set A.
*
* @param {Set} A - First set.
* @param {Set} B - Second set.
*/
exports.add = function(A, B) {
var iterator = B.values(),
step;
while ((step = iterator.next(), !step.done))
A.add(step.value);
return;
};
/**
* Function subtracting the items of set B from the set A.
*
* @param {Set} A - First set.
* @param {Set} B - Second set.
*/
exports.subtract = function(A, B) {
var iterator = B.values(),
step;
while ((step = iterator.next(), !step.done))
A.delete(step.value);
return;
};
/**
* Function intersecting the items of A & B.
*
* @param {Set} A - First set.
* @param {Set} B - Second set.
*/
exports.intersect = function(A, B) {
var iterator = A.values(),
step;
while ((step = iterator.next(), !step.done)) {
if (!B.has(step.value))
A.delete(step.value);
}
return;
};
/**
* Function disjuncting the items of A & B.
*
* @param {Set} A - First set.
* @param {Set} B - Second set.
*/
exports.disjunct = function(A, B) {
var iterator = A.values(),
step;
var toRemove = [];
while ((step = iterator.next(), !step.done)) {
if (B.has(step.value))
toRemove.push(step.value);
}
iterator = B.values();
while ((step = iterator.next(), !step.done)) {
if (!A.has(step.value))
A.add(step.value);
}
for (var i = 0, l = toRemove.length; i < l; i++)
A.delete(toRemove[i]);
return;
};
/**
* Function returning the size of the intersection of A & B.
*
* @param {Set} A - First set.
* @param {Set} B - Second set.
* @return {number}
*/
exports.intersectionSize = function(A, B) {
var tmp;
// We need to know the smallest set
if (A.size > B.size) {
tmp = A;
A = B;
B = tmp;
}
if (A.size === 0)
return 0;
if (A === B)
return A.size;
var iterator = A.values(),
step;
var I = 0;
while ((step = iterator.next(), !step.done)) {
if (B.has(step.value))
I++;
}
return I;
};
/**
* Function returning the size of the union of A & B.
*
* @param {Set} A - First set.
* @param {Set} B - Second set.
* @return {number}
*/
exports.unionSize = function(A, B) {
var I = exports.intersectionSize(A, B);
return A.size + B.size - I;
};
/**
* Function returning the Jaccard similarity between A & B.
*
* @param {Set} A - First set.
* @param {Set} B - Second set.
* @return {number}
*/
exports.jaccard = function(A, B) {
var I = exports.intersectionSize(A, B);
if (I === 0)
return 0;
var U = A.size + B.size - I;
return I / U;
};
/**
* Function returning the overlap coefficient between A & B.
*
* @param {Set} A - First set.
* @param {Set} B - Second set.
* @return {number}
*/
exports.overlap = function(A, B) {
var I = exports.intersectionSize(A, B);
if (I === 0)
return 0;
return I / Math.min(A.size, B.size);
};