npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

cassowary-system

v0.0.0

Published

API wrapper over Cassowary.js

Downloads

5

Readme

cassowary-system

cassowary-system is an API wrapper over the awesome Cassowary.js library (itself a JavaScript port of the Cassowary constraint solver). The intent of this wrapper to make creating constraint systems with Cassowary.js a bit simpler to declare and manage. This project is very much a proof of concept; YMMV!

If you're unfamiliar with constraint-based programming, the Cassowary constraint solver, or Cassowary.js, first see Adam Solove's presentation on constraint programming. If you do know what those things are, but don't yet see the purpose of this project, please keep reading:

Background / example

Using good, old-fashioned Cassowary.js, you would declare and solve a system of constraints like this:

require('cassowary'); // Creates a global `c` object.

// Create the simplex solver
var solver = new c.SimplexSolver();

// Declare variables
var stark = new c.Variable({ value: 4 }),
    lannister = new c.Variable({ value: 6 }),
    tully = new c.Variable({ value: 2 }),
    frey = new c.Variable({ value: 3 });

// Declare expressions
var goodies = c.plus(stark, tully),
    baddies = c.plus(lannister, frey);

// Declare constraints
var wedding = new c.Inequality(baddies, c.GEQ, goodies);

// Add constraints to the solver
solver.add(wedding);

// Suggest values and resolve
c.addEditVar(stark);
c.suggestValue(stark, 10);
c.resolve();

// Get a resolved value
var starksRemaining = stark.value;

That's actually pretty dang simple, already. Still, I wanted to see if I could boil the declarations down even further into a single configuration object. This is where cassowary-system steps in. Here is an example of the way you would declare the same constraint system (as shown in the above example), plus some:

// Create a constraint system
var constraintSystem = new CassowarySystem({
  variables: {
    stark: 4,
    lannister: 6,
    frey: function(){ return towers; }, // Ever-changing
    tully: function(){ return fish; } // Ever-changing
  },
  expressions: {
    goodies: ['stark', '+', 'tully'],
    baddies: ['lannister', '-', 'frey']
  },
  constraints: [
    ['baddies', '>=', 'goodies', 'required']
  ]
});

// Get a resolved value
var starksRemaining = system.variables.stark.value;

On purely aesthetic grounds, I myself happen to prefer this. (You might, too.) But beyond simply offering a cosmetic wrapper API, CassowarySystem also transparently does a few useful things for you:

Management of Cassowary objects: Each CassowarySystem instance keeps track of its own internal solver, experessions, variables, etc., so you don't have to. And if you do want to, accessing them is easy, e.g.: system.expressions, etc.

Ongoing recalculation: By default, a CassowarySystem instance will resolve its constraints continuously. Meaning that, as variables change, you needn't call resolve() yourself. Just access the object property you want (e.g. system.variables.starks.value) to get the current computed value. (Continuous recalculation is optional; see below.)

"Reactive" variables: Variables whose values are declared as functions will update continuously as time passes. This is nifty when you want your constraint system to work with continuously updating input values and such.

Flexibility when instantiating a constraint system: When initializing a new CassowarySystem instance, you needn't use the shorthand API shown above. You can pass in a "mixed grill", so to speak, of number values and plain-old Cassowary.js objects. This could allow for, say, different solver systems to cross-reference each other. E.g.:

new CassowarySystem({
  variables: {
    tyrell: 1,
    clegane: new c.Variable({ value: 2 }),
    baratheon: otherSystem.variables.baratheon
  }
  // etc.
});

Options

The CassowarySystem constructor takes two arguments: a spec object that defines the objects in the system, and an options object for, you guessed it, options. For example:

new CassowarySystem({
  // Variables, expressions, constraints
},{
  autoSetup: true,
  autoAddEditVars: true,
  autoAddConstraints: true,
  autoTriggerReactiveVariables: true
});
  • autoSetup: Default: true. Automatically and immediately process the spec object, building the internal system of Cassowary objects.

  • autoAddEditVars: Default: true. Assume all variables declared in the variables object are "edit variables" liable to be changed over the course of time.

  • autoAddConstraints: Default: true. Add the declared constraints to the solver right away. Note: This may have the effect of changing the variables' values immediately.

  • autoTriggerReactiveVariables: Default: true. Kick off a requestAnimationFrame loop that will continuously (a) call any functions that were supplied as members of the variables object, and (b) tell the solver to recompute the values on an ongoing basis.

Development

You will need npm and Bower.

After cloning the repo, install the local dependencies:

bower install

Tests

None currently. This just is a proof of concept, at the moment.

Contributing

Please fork and submit pull requests. I'm also happy to grant commit rights to anyone who has made a couple of substantial contributions.

Author

Matthew Trost

License

The MIT License (MIT)

Copyright (c) 2014 Matthew Trost

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.