function range(j, k) {
return Array
.apply(null, Array((k - j) + 1))
.map(function(_, n){ return n + j; });
}
this is roughly equivalent to
function range(j, k) {
var targetLength = (k - j) + 1;
var a = Array(targetLength);
var b = Array.apply(null, a);
var c = b.map(function(_, n){ return n + j; });
return c;
}
breaking it down:
var targetLength = (k - j) + 1;
var a = Array(targetLength);
this creates a sparse matrix of the correct nominal length. Now the problem with a sparse matrix is that although it has the correct nominal length, it has no actual elements, so, for
j = 7, k = 13
console.log(a);
gives us
Array [ <7 empty slots> ]
Then
var b = Array.apply(null, a);
passes the sparse matrix as an argument list to the Array constructor, which produces a dense matrix of (actual) length targetLength, where all elements have undefined value. The first argument is the 'this' value for the the array constructor function execution context, and plays no role here, and so is null.
So now,
console.log(b);
yields
Array [ undefined, undefined, undefined, undefined, undefined, undefined, undefined ]
finally
var c = b.map(function(_, n){ return n + j; });
makes use of the fact that the Array.map function passes: 1. the value of the current element and 2. the index of the current element, to the map delegate/callback. The first argument is discarded, while the second can then be used to set the correct sequence value, after adjusting for the start offset.
So then
console.log(c);
yields
Array [ 7, 8, 9, 10, 11, 12, 13 ]