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Move kdtree, lru and heap into uxbox.util submodule.

This commit is contained in:
Andrey Antukh 2016-06-22 19:59:52 +03:00
parent f81542a792
commit 77933f3949
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6 changed files with 94 additions and 58 deletions

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@ -8,13 +8,15 @@
* @license MIT License <https://opensource.org/licenses/MIT>
*/
goog.provide("kdtree.heap");
goog.provide("kdtree.heap.MinHeap");
"use strict";
goog.provide("uxbox.util.heap_impl");
goog.provide("uxbox.util.heap_impl.MinHeap");
goog.scope(function() {
"use strict";
const self = uxbox.util.heap_impl;
const compare = (x,y) => x-y;
const compare = (x, y) => x - y;
class MinHeap {
constructor(cmp) {
@ -108,5 +110,5 @@ goog.scope(function() {
}
}
kdtree.heap.MinHeap = MinHeap;
self.MinHeap = MinHeap;
});

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@ -0,0 +1,30 @@
;; This Source Code Form is subject to the terms of the Mozilla Public
;; License, v. 2.0. If a copy of the MPL was not distributed with this
;; file, You can obtain one at http://mozilla.org/MPL/2.0/.
;;
;; Copyright (c) 2016 Andrey Antukh <niwi@niwi.nz>
(ns uxbox.util.kdtree
"A cljs layer on top of js impl of kdtree located in `kdtree_impl.js`."
(:require [uxbox.util.kdtree-impl :as impl]))
(defn create
"Create an empty or initialized kd-tree instance."
([] (impl/create))
([points] (impl/create (clj->js points))))
(defn setup!
"Generate new kd-tree instance with provided generation parameter
or just return a prevuously created from internal LRU cache."
[t w h ws hs]
(impl/setup t w h ws hs))
(defn nearest
"Search nearest points to the provided point
and return the `n` maximum results."
([t p]
(nearest t p 10))
([t p n]
{:pre [(vector? p)]}
(let [p (into-array p)]
(map clj->js (impl/nearest t p n)))))

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@ -13,12 +13,16 @@
"use strict";
goog.provide("kdtree.core");
goog.require("kdtree.heap");
goog.require("lru");
goog.provide("uxbox.util.kdtree_impl");
goog.require("uxbox.util.heap_impl");
goog.require("uxbox.util.lru_impl");
goog.require("goog.asserts");
goog.scope(function() {
const self = uxbox.util.kdtree_impl;
const heap = uxbox.util.heap_impl;
const lru = uxbox.util.lru_impl;
const assert = goog.asserts.assert;
// Hardcoded dimensions value;
@ -76,7 +80,7 @@ goog.scope(function() {
function searchNearest(root, point, maxNodes) {
const search = (best, node) => {
if (best === null) {
best = new kdtree.heap.MinHeap((x, y) => x[1] - y[1]);
best = new heap.MinHeap((x, y) => x[1] - y[1]);
}
let distance = precision(calculateDistance(point, node.obj));
@ -147,38 +151,7 @@ goog.scope(function() {
// --- Public Api
const cache = new lru.create();
function create(points) {
const tree = new KDTree();
if (goog.isArray(points)) {
return initialize(tree, points);
} else {
return tree;
}
};
function generate(width, height, widthStep, heightStep) {
const key = `${width}.${height}.${widthStep}.${heightStep}`;
let tree = lru.get(cache, key);
if (tree instanceof KDTree) {
return tree;
} else {
tree = new KDTree();
setup(tree, width, height, widthStep, heightStep);
lru.set(cache, key, tree);
return tree;
}
}
function initialize(tree, points) {
assert(goog.isArray(points));
assert(tree instanceof KDTree);
tree.root = buildTree(null, points, 0);
return tree;
}
function setup(tree, width, height, widthStep, heightStep) {
const totalSize = Math.floor((width/widthStep) * (height/heightStep));
const points = new Array(totalSize);
let pos = 0;
@ -189,7 +162,21 @@ goog.scope(function() {
}
}
initialize(tree, points);
return points;
}
function setup(tree, width, height, widthStep, heightStep) {
const key = `${width}.${height}.${widthStep}.${heightStep}`;
const root = lru.get(cache, key);
if (root instanceof Node) {
tree.root = root;
} else {
const points = generate(width, height, widthStep, heightStep);
tree.root = buildTree(null, points, 0);
lru.set(cache, key, tree.root);
}
return tree;
}
@ -198,6 +185,23 @@ goog.scope(function() {
return tree.root !== null;
}
function initialize(tree, points) {
assert(goog.isArray(points));
assert(tree instanceof KDTree);
tree.root = buildTree(null, points, 0);
return tree;
}
function create(points) {
const tree = new KDTree();
if (goog.isArray(points)) {
return initialize(tree, points);
} else {
return tree;
}
};
function clear(tree) {
assert(tree instanceof KDTree);
tree.root = null;
@ -212,11 +216,10 @@ goog.scope(function() {
}
// Factory functions
kdtree.core.create = create;
kdtree.core.generate = generate;
kdtree.core.initialize = initialize;
kdtree.core.setup = setup;
kdtree.core.isInitialized = isInitialized;
kdtree.core.clear = clear;
kdtree.core.nearest = nearest;
self.create = create;
self.initialize = initialize;
self.setup = setup;
self.isInitialized = isInitialized;
self.clear = clear;
self.nearest = nearest;
});

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@ -10,10 +10,11 @@
"use strict";
goog.provide("lru");
goog.provide("uxbox.util.lru_impl");
goog.require("goog.asserts");
goog.scope(function() {
const self = uxbox.util.lru_impl;
const assert = goog.asserts.assert;
class Node {
@ -118,8 +119,8 @@ goog.scope(function() {
return new Cache(limit);
}
lru.create = create;
lru.get = (c, key) => c.getItem(key);
lru.set = (c, key, val) => c.setItem(key, val);
lru.remove = (c, key) => c.removeItem(key);
self.create = create;
self.get = (c, key) => c.getItem(key);
self.set = (c, key, val) => c.setItem(key, val);
self.remove = (c, key) => c.removeItem(key);
});

View file

@ -6,6 +6,7 @@
(ns uxbox.view
(:require [uxbox.view.state :as st]
[uxbox.common.constants]
#_[uxbox.view.locales :as lc]
[uxbox.view.ui :as ui]))

View file

@ -7,7 +7,7 @@
(ns uxbox.worker.align
"Workspace aligment indexes worker."
(:require [beicon.core :as rx]
[kdtree.core :as kd]
[uxbox.util.kdtree :as kd]
[uxbox.worker.impl :as impl]
[uxbox.common.geom.point :as gpt]))
@ -16,14 +16,13 @@
(defmethod impl/handler :grid/init
[{:keys [sender width height x-axis y-axis] :as opts}]
(time
(let [value (kd/generate width height (or x-axis 10) (or y-axis 10))]
(set! tree value)))
(kd/setup! tree width height (or x-axis 10) (or y-axis 10)))
(impl/reply! sender nil))
(defmethod impl/handler :grid/align
[{:keys [sender point] :as message}]
(let [point #js [(:x point) (:y point)]
results (js->clj (kd/nearest tree point 1))
(let [point [(:x point) (:y point)]
results (kd/nearest tree point 1)
[[x y] d] (first results)
result (gpt/point x y)]
(impl/reply! sender {:point (gpt/point x y)})))