Acsets Hatchery
by plurigrid
Attributed C-Sets as algebraic databases. Category-theoretic data structures generalizing graphs and dataframes with Gay.jl color integration.
Skill Details
Repository Files
1 file in this skill directory
name: acsets-hatchery description: Attributed C-Sets as algebraic databases. Category-theoretic data structures generalizing graphs and dataframes with Gay.jl color integration. version: 1.0.0
ACSets Hatchery
Overview
ACSets.jl provides acsets ("attributed C-sets") - data structures generalizing both graphs and data frames. They are an efficient in-memory implementation of category-theoretic relational databases.
Core Features
- Acset schemas - Category-theoretic data structure definitions
- Acsets - Instances of schemas (like database rows)
- Tabular columns - Efficient columnar storage
- Serialization - JSON/binary format support
What Are ACSets?
An ACSet is a functor from a category C to Set, with attributes. This means:
- Objects become tables
- Morphisms become foreign keys
- Attributes add data types to objects
Usage
using ACSets
# Define a schema
@present SchGraph(FreeSchema) begin
V::Ob
E::Ob
src::Hom(E, V)
tgt::Hom(E, V)
end
# Create an acset
g = @acset Graph begin
V = 3
E = 2
src = [1, 2]
tgt = [2, 3]
end
Extensions
- Catlab.jl - Homomorphisms, limits/colimits, functorial data migration
- AlgebraicRewriting.jl - DPO/SPO/SqPO rewriting for acsets
Learning Resources
- Graphs and C-sets I - What is a graph?
- Graphs and C-sets II - Half-edges and rotation systems
- Graphs and C-sets III - Reflexive graphs and homomorphisms
- Graphs and C-sets IV - Propositional logic of subgraphs
Gay.jl Integration
# Rec2020 wide gamut with acset seed
gay_seed!(0xb4545686b9115a09)
# Mixed mode checkpointing
params = OkhslParameters()
∂params = Enzyme.gradient(Reverse, loss, params, seed)
Citation
Patterson, Lynch, Fairbanks. Categorical data structures for technical computing. Compositionality 4, 5 (2022). arXiv:2106.04703
Repository
- Source: plurigrid/ACSets.jl (fork of AlgebraicJulia/ACSets.jl)
- Seed:
0xb4545686b9115a09 - Index: 494/1055
- Color: #204677
GF(3) Triad
algebraic-rewriting (-1) ⊗ acsets-hatchery (0) ⊗ gay-monte-carlo (+1) = 0 ✓
Related Skills
acsets-algebraic-databases- Full ACSet guidespecter-acset- Bidirectional navigationworld-a- AlgebraicJulia ecosystem
Forward Reference
- unified-reafference (ACSet schema consumer)
Patterns That Work
- Schema-first database design
- Morphism-based foreign keys
- Integration with unified-reafference
Patterns to Avoid
- Ad-hoc schema changes
- Missing attribute type annotations
SDF Interleaving
This skill connects to Software Design for Flexibility (Hanson & Sussman, 2021):
Primary Chapter: 3. Variations on an Arithmetic Theme
Concepts: generic arithmetic, coercion, symbolic, numeric
GF(3) Balanced Triad
acsets-hatchery (+) + SDF.Ch3 (○) + [balancer] (−) = 0
Skill Trit: 1 (PLUS - generation)
Secondary Chapters
- Ch4: Pattern Matching
- Ch7: Propagators
- Ch10: Adventure Game Example
Connection Pattern
Generic arithmetic crosses type boundaries. This skill handles heterogeneous data.
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