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function defaultSeparation(a, b) {
return a.parent === b.parent ? 1 : 2;
}
function meanX(children) {
return children.reduce(meanXReduce, 0) / children.length;
}
function meanXReduce(x, c) {
return x + c.x;
}
function maxY(children) {
return 1 + children.reduce(maxYReduce, 0);
}
function maxYReduce(y, c) {
return Math.max(y, c.y);
}
function leafLeft(node) {
var children;
while (children = node.children) node = children[0];
return node;
}
function leafRight(node) {
var children;
while (children = node.children) node = children[children.length - 1];
return node;
}
export default function() {
var separation = defaultSeparation,
dx = 1,
dy = 1,
nodeSize = false;
function cluster(root) {
var previousNode,
x = 0;
// First walk, computing the initial x & y values.
root.eachAfter(function(node) {
var children = node.children;
if (children) {
node.x = meanX(children);
node.y = maxY(children);
} else {
node.x = previousNode ? x += separation(node, previousNode) : 0;
node.y = 0;
previousNode = node;
}
});
var left = leafLeft(root),
right = leafRight(root),
x0 = left.x - separation(left, right) / 2,
x1 = right.x + separation(right, left) / 2;
// Second walk, normalizing x & y to the desired size.
return root.eachAfter(nodeSize ? function(node) {
node.x = (node.x - root.x) * dx;
node.y = (root.y - node.y) * dy;
} : function(node) {
node.x = (node.x - x0) / (x1 - x0) * dx;
node.y = (1 - (root.y ? node.y / root.y : 1)) * dy;
});
}
cluster.separation = function(x) {
return arguments.length ? (separation = x, cluster) : separation;
};
cluster.size = function(x) {
return arguments.length ? (nodeSize = false, dx = +x[0], dy = +x[1], cluster) : (nodeSize ? null : [dx, dy]);
};
cluster.nodeSize = function(x) {
return arguments.length ? (nodeSize = true, dx = +x[0], dy = +x[1], cluster) : (nodeSize ? [dx, dy] : null);
};
return cluster;
}
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