StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics https://doi.org/10.1109/TVCG.2020.3030352
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StackGenVis/frontend/node_modules/box-intersect/README.md

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box-intersect
=============
This modules finds all intersection in a set of n boxes in d-dimensions, or between a pair of sets with n and m boxes respectively. The time taken is O((n+m) log^d(n+m)) and the algorithm uses a temporary scratch memory of size O(n+m). This memory is pooled so that after the first execution no additional memory is allocated. Some possible applications of this library include:
* Collision detection
* Polygon clipping
* Batched box stabbing queries
* Mesh boolean operations (CSG)
The algorithm in this package is based on the one described in the following paper:
* [A. Zomorodian, H. Edelsbrunner. (2000) "Software for fast box intersections" In proceedings of SoCG](http://pub.ist.ac.at/~edels/Papers/2002-J-01-FastBoxIntersection.pdf)
A detailed experimental analysis of the performance of this module as well as comparisons with other libraries for box intersection can be found in the following repository:
* [The Great JavaScript Box Intersection Benchmark](https://github.com/mikolalysenko/box-intersect-benchmark)
For more information on this problem, please see the following series of blog posts:
* [Collision detection (part 1)](http://0fps.net/2015/01/07/collision-detection-part-1/)
* [Collision detection (part 2)](http://0fps.net/2015/01/18/collision-detection-part-2/)
* [Collision detection (part 3)](http://0fps.net/2015/01/23/collision-detection-part-3-benchmarks/)
# Example
### Detecting overlaps in a set of boxes
Here is how to detect all pairs of overlapping boxes in a single set of boxes:
```javascript
var boxIntersect = require('box-intersect')
//Boxes are listed as flattened 2*d length arrays
var boxes = [
[1, 1, 2, 2], //Interpretation: [minX, minY, maxX, maxY]
[0, -1, 3, 2],
[2, 1, 4, 5],
[0.5, 3, 1, 10]
]
//Default behavior reports list of intersections
console.log('overlaps:', boxIntersect(boxes))
//Note: Boxes are closed
//Can also use a visitor to report all crossings
var result = boxIntersect(boxes, function(i,j) {
console.log('overlap:', boxes[i], boxes[j])
//Can early out by returning any value
if(i === 2 || j === 2) {
return 2
}
})
console.log('early out result:', result)
```
#### Output
```
overlap: [ [ 0, 1 ], [ 0, 2 ], [ 1, 2 ] ]
overlap: [ 1, 1, 2, 2 ] [ 0, -1, 3, 2 ]
overlap: [ 1, 1, 2, 2 ] [ 2, 1, 4, 5 ]
early out result: 2
```
### Bipartite intersection
You can also detect all intersections between two different sets of boxes:
```javascript
var boxIntersect = require('box-intersect')
//Again, boxes are given as flattened lists of coordinates
var red = [
[0, 0, 0, 8, 1, 1], //Format: [minX, minY, minZ, maxX, maxY, maxZ]
[0, 0, 0, 1, 8, 1],
[0, 0, 0, 1, 1, 8]
]
var blue = [
[5, 0, 0, 6, 10, 10],
[0, 5, 0, 10, 6, 10],
[0, 0, 5, 10, 10, 10]
]
//Report all crossings
console.log('crossings=', boxIntersect(red, blue))
//Again can use a visitor:
boxIntersect(red, blue, function(r, b) {
console.log('overlap:', red[r], blue[b])
})
```
#### Output
```
crossings= [ [ 0, 0 ], [ 1, 1 ], [ 2, 2 ] ]
overlap: [ 0, 0, 0, 8, 1, 1 ] [ 5, 0, 0, 6, 10, 10 ]
overlap: [ 0, 0, 0, 1, 8, 1 ] [ 0, 5, 0, 10, 6, 10 ]
overlap: [ 0, 0, 0, 1, 1, 8 ] [ 0, 0, 5, 10, 10, 10 ]
```
# Install
Using [npm](https://www.npmjs.org/), just run the following command:
```sh
npm install box-intersect
```
This module works in any reasonable CommonJS environment, such as browsersify, iojs or node.js.
# API
```javascript
var boxIntersect = require('box-intersect')
```
### `boxIntersect(boxes[, otherBoxes, visit])`
Finds all pairs intersections in a set of boxes. There are two basic modes of operation for this function:
* `complete` which detects all pairs of intersections within a single set of boxes
* `bipartite` which detects pairs of intersections between two different sets of boxes
The parameters to the function are as follows:
* `boxes` is a list of boxes. Boxes are represented as length 2*d arrays where the first d-components are the lower bound of the box and then the next d components are the upper bound.
* `otherBoxes` is an optional list of boxes which `boxes` is tested against. If not specified, then the algorithm will report self intersections in `boxes`
* `visit(i,j)` is a callback which is called once for each overlapping pair of boxes. If `visit` returns any value not equal to `undefined`, then the search is terminated immediately and this value is returned. If `visit` is not specified, then a list of intersecting pairs is returned.
**Returns** If `visit` was specified, then the last returned value of `visit`. Otherwise an array of pairs of intersecting boxes.
**Note** The boxes are treated as cartesian products of *closed* intervals. For example, the boxes `[1,1,2,2]` and `[0,0,1,1]` will be reported as intersecting by this module.
# License
(c) 2014 Mikola Lysenko. MIT License