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ljkiwi - Free LuaJIT FFI kiwi (Cassowary derived) constraint solver.
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[](https://github.com/jkl1337/ljkiwi/actions/workflows/ci.yml)
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[](https://coveralls.io/github/jkl1337/ljkiwi?branch=master)
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[](https://luarocks.org/modules/jkl/ljkiwi)
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# Introduction
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Kiwi is a reasonably efficient C++ implementation of the Cassowary constraint solving algorithm. It is an implementation of the algorithm as described in the paper ["The Cassowary Linear Arithmetic Constraint Solving Algorithm"](http://www.cs.washington.edu/research/constraints/cassowary/techreports/cassowaryTR.pdf) by Greg J. Badros and Alan Borning. The Kiwi implementation is not based on the original C++ implementation, but is a ground-up reimplementation with performance 10x to 500x faster in typical use.
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Cassowary constraint solving is a technique that is particularly well suited to user interface layout. It is the algorithm Apple uses for iOS and OS X Auto Layout.
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There are a few Lua implementations or attempts. The SILE typesetting system has a pure Lua implementation of the original Cassowary code, which appears to be correct but is quite slow. There are two extant Lua ports of Kiwi, one that is based on a C rewrite of Kiwi. However testing of these was not encouraging with either segfaults or incorrect results.
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Since the C++ Kiwi library is well tested and widely used it was simpler to provide a LuaJIT FFI wrapper and use that.
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This package has no dependencies other than a C++11 toolchain to compile the included Kiwi library and a small C wrapper.
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The Lua API has a pure Lua expression builder. There is of course some overhead to this, however in most cases expression building is infrequent and the underlying structures can be reused.
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The wrapper is quite close to the Kiwi C++/Python port with a few naming changes.
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## Example
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```lua
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local kiwi = require("kiwi")
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local Var = kiwi.Var
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local Button = setmetatable({}, {
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__call = function(_, identifier)
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return setmetatable({
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left = Var(identifier .. " left"),
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width = Var(identifier .. " width"),
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}, {
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__tostring = function(self)
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return "Button(" .. self.left:value() .. ", " .. self.width:value() .. ")"
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end,
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})
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end,
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})
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local b1 = Button("b1")
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local b2 = Button("b2")
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local left_edge = Var("left")
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local right_edge = Var("width")
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local STRONG = kiwi.Strength.STRONG
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-- stylua: ignore start
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local constraints = {
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left_edge :eq(0.0),
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-- two buttons are the same width
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b1.width :eq(b2.width),
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-- button1 starts 50 from the left margin
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b1.left :eq(left_edge + 50),
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-- button2 ends 50 from the right margin
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right_edge :eq(b2.left + b2.width + 50),
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-- button2 starts at least 100 from the end of button1. This is the "elastic" constraint
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b2.left :ge(b1.left + b1.width + 100),
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-- button1 has a minimum width of 87
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b1.width :ge(87),
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-- button1 has a preferred width of 87
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b1.width :eq(87, STRONG),
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-- button2 has minimum width of 113
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b2.width :ge(113),
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-- button2 has a preferred width of 113
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b2.width :eq(113, STRONG),
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}
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-- stylua: ignore end
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local solver = kiwi.Solver()
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for _, c in ipairs(constraints) do
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solver:add_constraint(c)
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end
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solver:update_vars()
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print(b1) -- Button(50, 113)
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print(b2) -- Button(263, 113)
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print(left_edge:value()) -- 0
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print(right_edge:value()) -- 426
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solver:add_edit_var(right_edge, STRONG)
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solver:suggest_value(right_edge, 500)
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solver:update_vars()
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print(b1) -- Button(50, 113)
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print(b2) -- Button(337, 113)
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print(right_edge:value()) -- 500
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```
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In addition to the expression builder there are convenience constructors: `new_pair_ratio_constraint`, `new_pair_constraint`, and `new_single_constraint` to allow efficient construction of the most common simple expression types for GUI layout.
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## Documentation
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WIP - However the API is fully annotated and will work with lua-language-server. Documentation can also be generated with lua-language-server.
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