go-ruby-tsort documentation¶
Ruby's TSort topological sort and strongly connected components in pure Go — MRI-compatible, no cgo.
go-ruby-tsort/tsort is a faithful, pure-Go (zero cgo) reimplementation of Ruby's TSort
standard library, using Tarjan's algorithm exactly as MRI 4.0.5's tsort.rb does and
matching reference Ruby (MRI) byte-for-byte. The module path is
github.com/go-ruby-tsort/tsort.
TSort interprets any object as a graph through two callbacks — one that yields every
node, one that yields a node's children — and this package models that functionally: you
supply the two iterators and get back the sorted nodes (or the SCCs). Nodes are arbitrary
any values; their graph identity (Ruby's eql? / hash) is host-supplied via
Options.Identity, so a host such as rbgo can plug in boxed Ruby objects while the
library's own callers use plain comparable Go values.
It was extracted from rbgo into a reusable standalone
library: the module is standalone and importable by any Go program, and it is
the topological-sort backend bound into
go-embedded-ruby
by rbgo as a native module — just like
go-ruby-regexp,
go-ruby-erb and
go-ruby-yaml. The dependency runs the other
way: this library has no dependency on the Ruby runtime.
Status: complete — MRI byte-exact
Faithful port of Ruby's TSort: TSort (nodes sorted children-first, raising *Cyclic on a real cycle), StronglyConnectedComponents (Tarjan SCCs in reverse topological order), the EachStronglyConnectedComponent / …From iterator forms, and host identity & inspect via Options. Validated by a differential oracle against the system ruby — sorted nodes, SCC structure and TSort::Cyclic messages compared byte-for-byte — at 100% coverage, gofmt + go vet clean, CI green across the six 64-bit Go targets and three OSes.
Quick taste¶
// {1=>[2,3], 2=>[3], 3=>[], 4=>[]} — model it as two iterators.
graph := map[int][]int{1: {2, 3}, 2: {3}, 3: {}, 4: {}}
order := []int{1, 2, 3, 4}
nodes := func(yield func(any)) { for _, n := range order { yield(n) } }
children := func(node any, yield func(any)) {
for _, c := range graph[node.(int)] { yield(c) }
}
sorted, _ := tsort.TSort(nodes, children) // [3 2 1 4]
scc := tsort.StronglyConnectedComponents(nodes, children) // [[3] [2] [1] [4]]
Repositories¶
| Repo | What it is |
|---|---|
tsort |
the library — Ruby's TSort in pure Go |
docs |
this documentation site (MkDocs Material, versioned with mike) |
go-ruby-tsort.github.io |
the organization landing page (Hugo) |
brand |
logo and brand assets |
Principles¶
- Pure Go,
CGO_ENABLED=0— trivial cross-compilation, a single static binary, no C toolchain. - MRI byte-exact. Component grouping, internal ordering and
TSort::Cyclicmessages match reference Ruby exactly, not approximately, validated by a differential oracle against therubybinary. - Standalone & reusable. Extracted from rbgo's internals; no dependency on the Ruby runtime — the dependency runs the other way.
- 100% test coverage is the target, enforced as a CI gate, across 6 arches and 3 OSes.
Where to go next¶
- Why pure Go — why topological sort is deterministic enough to live as a standalone, interpreter-independent Go library.
- Usage & API — the public surface and worked examples.
- Roadmap — what is done and what is downstream by design.
Source lives at github.com/go-ruby-tsort/tsort.