UPDATE 05/04/2018: It is my understanding d3 has changed a lot (for the better) to be a lot more modular. For those who are looking towards this answer, this was using a much older version of d3 (specifically v3). A lot of the findings are still relevant for the d3-hierarchy package under cluster.size() and cluster.nodeSize() … Read more
try class Node { private String value; private Node left; private Node right; public Node(String value, Node left, Node right) { this.value = value; … } Node copy() { Node left = null; Node right = null; if (this.left != null) { left = this.left.copy(); } if (this.right != null) { right = this.right.copy(); } … Read more
Your code is just missing a loop to inspect each child of a node in the child array. This recursive function will return the label property of a node or undefined if label not present in tree: const search = (tree, target) => { if (tree.id === target) { return tree.label; } for (const child … Read more
You can create this structure using forEach method to loop each path and split it to array on /, then you can also use reduce method to create nested objects. let paths = [“About.vue”,”Categories/Index.vue”,”Categories/Demo.vue”,”Categories/Flavors.vue”,”Categories/Types/Index.vue”,”Categories/Types/Other.vue”]; let result = []; let level = {result}; paths.forEach(path => { path.split(“https://stackoverflow.com/”).reduce((r, name, i, a) => { if(!r[name]) { r[name] = … Read more
If you are doing a breadth first search the natural implementation is to push nodes into a queue, not to use recursion. If you are doing a depth first search then recursion is the most natural way to code the traversal. However, unless your compiler optimizes tail recursion into iteration, your recursive implementation will be … Read more
int count() { Tree right = getRightChild(); Tree left = getLeftChild(); int c = 1; // count yourself! if ( right != null ) c += right.count(); // count sub trees if ( left != null ) c += left.count(); // .. return c; }
If your C standard library is GNU or *BSD, then you probably have asprintf available. You may need to enable a feature test macro to use it, though. If you don’t have asprintf available, it can easily be defined in terms of the C standard vsnprintf function. asprintf returns the result of the format as … Read more
So the starting place is creating an expression visitor. This lets us find all of the member accesses within a particular expression. This leaves us with the question of what to do for each member access. So the first thing is to recursively visit on the expression that the member is being accessed on. From … Read more
Edit: Changed to cater for updated question. I’m using an array index of __title to hold the page title. As long as you never have a directory in your tree called __title this should be fine. You’re free to change this sentinel value to anything you wish however. I have also changed it so the … Read more
Searching for an element in a heap of size N is not O(K). First, it does not make sense that the time complexity for finding one element depends on the number of elements you are trying to extract (which is what K represents). Also, there is no such thing as searching in a heap — … Read more