Asi discohy-streams
DisCoPy categorical color streams via Hy with 3 parallel TAP streams
install
source · Clone the upstream repo
git clone https://github.com/plurigrid/asi
manifest:
skills/discohy-streams/skill.mdsource content
discohy-streams - DiscoHy Operadic Color Streams
Overview
Provides personalized color streams using DisCoPy categorical diagrams via Hy (discohy). Each human gets a self-learning color embedding with 3 parallel streams, now extended with 7 operad variants for compositional structure.
Trit: 0 (ERGODIC - Coordinator) GF(3) Triad:
three-match (-1) ⊗ discohy-streams (0) ⊗ gay-mcp (+1) = 0 ✓
Core Concepts
3 Parallel Streams (Balanced Ternary)
color://human-id/LIVE → +1 (forward, real-time) color://human-id/VERIFY → 0 (verification, BEAVER) color://human-id/BACKFILL → -1 (historical, archived)
7 DiscoHy Operad Variants
| Operad | File | Trit | Structure |
|---|---|---|---|
| Little Disks (E₂) | | ⊕ +1 | Configuration of non-overlapping disks |
| Cubes (E_∞) | | ⊖ -1 | Hypercube parallel structures |
| Cactus | | ⊖ -1 | Trees with cycles (self-modification) |
| Thread | | ⊙ 0 | Thread continuations + DuckDB |
| Gravity | | ⊖ -1 | Moduli M_{0,n} with involutions |
| Modular | | ⊕ +1 | Genus-labeled runtime polymorphism |
| Swiss-Cheese | | ⊕ +1 | Open/closed for forward-only learning |
GF(3) Total: (+1) + (-1) + (-1) + (0) + (-1) + (+1) + (+1) = 0 ✓
Libkind-Spivak Operads (AlgebraicDynamics)
From Sophie Libkind's thesis and AlgebraicJulia:
| Operad | Trit | Description |
|---|---|---|
| Directed (⊳) | +1 | Output→Input wiring diagrams |
| Undirected (○) | -1 | Interface matching via pullback |
| Machines | 0 | State machines with dynamics |
| Dynamical | +1 | Open ODEs: dx/dt = f(x,u) |
∞-Operads
| Model | Description |
|---|---|
| Dendroidal | Trees as colored operads (Cisinski-Moerdijk) |
| Lurie | coCartesian fibrations over Fin_* |
| Segal | Quillen equivalent to simplicial operads |
DisCoPy Integration
from discopy.monoidal import Ty, Box, Id from discopy.drawing import draw # Types for operad network LittleDisks = Ty('E₂') Cubes = Ty('E_∞') Thread = Ty('Thread') # Morphisms (operad maps) stabilize = Box('stabilization', LittleDisks, Cubes) linearize = Box('linearization', LittleDisks, Thread) # Compose diagram diagram = stabilize >> linearize.dom @ linearize
Hy Usage
#!/usr/bin/env hy (import [discohy_thread_operad [RootedColorOperad build-operad-from-threads]]) ;; Build operad from thread tree (setv threads [ {:id "T-001" :title "Root" :parent nil} {:id "T-002" :title "Child1" :parent "T-001"} {:id "T-003" :title "Child2" :parent "T-001"}]) (setv operad (build-operad-from-threads threads 0x42D)) ;; Get operad variant (.set-variant operad "dendroidal") ;; Compose operations (setv composed (.compose operad "T-001" ["T-002" "T-003"]))
ACSet Schema for Operads
@present SchOperadNetwork(FreeSchema) begin Operad::Ob Morphism::Ob src::Hom(Morphism, Operad) tgt::Hom(Morphism, Operad) Name::AttrType Trit::AttrType name::Attr(Operad, Name) trit::Attr(Operad, Trit) morph_type::Attr(Morphism, Name) end @acset_type OperadNetwork(SchOperadNetwork)
Relational Interleaving
The 7 operads form a relational network (ACSet):
┌─────────────┐ │ Modular │⊕ └──────┬──────┘ ┌──────┴──────┐ ┌────┴────┐ ┌────┴────┐ │ Cactus │⊖ │ Swiss │⊕ └────┬────┘ │ Cheese │ │ └────┬────┘ ▼ │ ┌─────────┐ │ │ Thread │⊙◄─────┘ └────┬────┘ ┌────────┼────────┐ ▼ ▼ ▼ ┌────────┐ ┌──────┐ ┌─────────┐ │ Cubes │⊖│Gravity│⊖│ Little │⊕ │ E_∞ │ │ M_0,n │ │ Disks │ └────────┘ └──────┘ └─────────┘
Triad Interleaving Schedule
Build balanced schedules with GF(3) = 0 per triplet:
from operads.relational_operad_interleave import build_triad_from_operads triad = build_triad_from_operads() schedule = triad.build_round_robin(7) # Output: # 0: cubes ⊗ thread ⊗ little_disks # 1: cactus ⊗ thread ⊗ modular # 2: gravity ⊗ thread ⊗ swiss_cheese # ...
DuckDB Integration
-- Query operad compositions SELECT src.name as source, tgt.name as target, m.morph_type, (src.trit + tgt.trit) % 3 as combined_trit FROM operad_morphisms m JOIN operads src ON m.src_id = src.id JOIN operads tgt ON m.tgt_id = tgt.id; -- Find GF(3)-conserving triads SELECT o1.name, o2.name, o3.name FROM operads o1, operads o2, operads o3 WHERE (o1.trit + o2.trit + o3.trit) % 3 = 0 AND o1.id < o2.id AND o2.id < o3.id;
File Locations
src/operads/ ├── __init__.py # Registry ├── relational_operad_interleave.py # ACSet + Triad ├── libkind_spivak_dynamics.py # Directed/Undirected/Machines └── infinity_operads.py # Dendroidal + Lurie scripts/ ├── discohy_operad_1_little_disks.py ├── discohy_operad_2_cubes.py ├── discohy_operad_3_cactus.py ├── discohy_operad_4_thread.py ├── discohy_operad_5_gravity.lisp ├── discohy_operad_6_modular.bb └── discohy_operad_7_swiss_cheese.py
Commands
# Run relational interleaving demo python3 src/operads/relational_operad_interleave.py # Run Libkind-Spivak operads python3 src/operads/libkind_spivak_dynamics.py # Test individual operad python3 scripts/discohy_operad_4_thread.py
See Also
- Algebraic databases (schema category)acsets
- GF(3) balanced schedulingtriad-interleave
- Deterministic color generationgay-mcp
- 3-SAT via colored subgraph isomorphismthree-match
- Badiou triangle navigationworld-hopping