Graduating from playground

.eslintrc.json

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+{
+  "parser": "babel-eslint",
+  "rules": {
+    "no-undef":"error"
+  },
+  "env" : {
+    "node" : true,
+    "es6": true
+  }
+}

.gitignore

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+.DS_Store
+node_modules
+/dist
+/build
+
+/demo/outline/
+/demo/interactive/public/lines.json
+
+# local env files
+.env.local
+.env.*.local
+
+
+# Log files
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+
+# Editor directories and files
+.idea
+.vscode
+*.suo
+*.ntvs*
+*.njsproj
+*.sln
+*.sw*

.npmignore

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+!build/
+demo

README.md

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+# isect - intersection detection library
+
+This library allows you to find all intersections in a given set of
+segments. 
+
+TODO: Image
+
+# Methods
+
+The library implements two methods
+
+## Bentley-Ottmann sweep line algorithm
+
+This algorithm has `O(n*log(n) + k*log(n))` performance, where `n` is number of
+segments, and `k` is number of intersections.
+
+This method is preferred when you have large number of lines, and not too many
+intersections (`k = o(n^2/log(n)`, to be more specific). 
+
+The algorithm follows "Computation Geometry, Algorithms and Applications" book
+by Mark de Berg, Otfried Cheong, Marc van Kreveld, and Mark Overmars. It does support
+degenerate cases, though read limitations to learn more.
+
+## Brute force algorithm
+
+This is "naive" implementation where each segment is compared with all other segments,
+and thus has O(n*n) performance.
+
+Despite it's naiveté, it works much faster than Bentley-Ottmann algorithm for the cases
+when there are a few thousand lines and millions of intersections. This scenario is
+common in force-based graph drawing, where "hairball" formed by a few thousand lines.
+
+## Performance measurements
+
+The benchmark code is available here.
+
+[![K12 graph](https://i.imgur.com/PTXwvd3.png)]()
+```
+Sweep: Circular lines 12x40 x 1,022 ops/sec ±1.94% (90 runs sampled)
+Brute: Circular lines 12x40 x 7,252 ops/sec ±3.15% (78 runs sampled)
+Sweep: 100 Random lines lines in 42px box x 267 ops/sec ±0.80% (89 runs sampled)
+Brute: 100 Random lines lines in 42px box x 3,751 ops/sec ±2.42% (76 runs sampled)
+Sweep: 2,500 sparse lines x 135 ops/sec ±0.55% (75 runs sampled)
+Brute: 2,500 sparse lines x 13.57 ops/sec ±0.43% (38 runs sampled)
+```
+
+
+# usage
+
+## installation 
+Install the module from npm:
+
+```
+npm i isect
+```
+
+## basic usage
+
+The code below detects all intersections between segments in the array:
+
+``` js
+var isect = require('isect');
+
+// Prepare the library to detect all intersection
+var iSector = isect([{
+  from: {x:  0, y:  0},
+  to:   {x: 10, y: 10}
+}, {
+  from: {x:  0, y: 10},
+  to:   {x: 10, y:  0}
+}]);
+
+// Detect them all, operation is synchronous. 
+var intersections = iSector.run();
+console.log(intersections);
+// Prints:
+// 
+//    [ { point: { x: 5, y: 5 }, segments: [ [Object], [Object] ] } ]
+// 
+// array of segments contain both segments.
+```
+
+## Early stopping
+
+If you don't care about all intersections, but want to know if there is
+at least one intersection, you can pass a `onFound()` callback and request
+the library to stop as soon as it finds the intersection:
+
+``` js
+var iSector = isect([/* array of segments */], {
+  onFound(point, interior, lower, upper) {
+    // `point` is {x, y} of the intersection,
+    // `interior`is array of segments that have this point inside
+    // `lower` are segments that have point as a lower endpoint (segment.to)
+    // `upper` are segments that have point as an upper endpoint (segment.from)
+
+    // If you return true from this method, no further processing will be done:
+
+    return true; // yes, stop right now!
+  }
+});
+```
+
+## Asynchronous workflow
+
+TODO: explain
+
+
+## Performance
+
+
+
+## Limitations
+
+The library is susceptible to floating point rounding errors. It is
+possible to construct an example, with nearly horizontal lines, that would
+cause library to fail. TODO: link to drunk grid with small variance and large
+number of lines.
+
+While library does detected `point-segment` overlap, it does not detected `point-point`
+overlap. I.e. identical points in the input dataset, that do not overlap any segment
+will not be reported.

demo/interactive/README.md

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+# sweep
+
+## Project setup
+```
+npm install
+```
+
+### Compiles and hot-reloads for development
+```
+npm start
+```
+
+### Compiles and minifies for production
+```
+npm run build
+```
+
+### Lints and fixes files
+```
+npm run lint
+```

demo/interactive/babel.config.js

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+module.exports = {
+  presets: [
+    '@vue/app'
+  ]
+}