DisCoPy categorical color streams via Hy with 3 parallel TAP streams
Scanned 9/6/2026
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---
name: discohy-streams
<<<<<<< HEAD
description: DisCoPy categorical color streams via Hy with 3 parallel TAP streams
---
# discohy-streams - Discopy Color Streams via Hy
## Overview
Provides personalized color streams using discopy categorical diagrams via Hy (discohy). Each human gets a self-learning color embedding with 3 parallel streams.
=======
description: DisCoPy categorical color streams via Hy with 3 parallel TAP streams and 7 operad variants
trit: 0
---
# 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 ✓`
>>>>>>> origin/feature/skill-connectivity-hub-20251226
## 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)
```
<<<<<<< HEAD
### Discopy Integration
```hy
;; Create color chain diagram
(import [discopy.monoidal [Ty Box]])
(setv Color (Ty "Color"))
(setv boxes [(Box "C1" Color Color)
(Box "C2" Color Color)
(Box "C3" Color Color)])
(setv diagram (>> (get boxes 0) (get boxes 1) (get boxes 2)))
```
### GayMCP color:// Resource
```
color://alice → All 3 streams simultaneously
color://alice/LIVE → Current LIVE color
color://alice/VERIFY/5 → Time travel to index 5
```
## Usage
```hy
#!/usr/bin/env hy
(import [gay_world_ducklake [create-gay-world color-at]])
;; Create world
(setv world (create-gay-world 0x42D))
;; Get surface for human
(setv surface (.get-or-create-surface (get world "world") "bob"))
;; Get simultaneous colors
(setv colors (.get-simultaneous-colors surface))
;; Access via MCP
(setv mcp (get world "mcp"))
(.get-resource mcp "color://bob/LIVE")
```
## Self-Learning Embedding
Each stream maintains a learnable embedding for color preferences:
```hy
(setv stream surface.live-stream)
;; Generate color
(setv color (.next-color stream))
;; Learn from preference
(.learn stream color True) ; liked
(.learn stream color False) ; disliked
;; Get prediction
(.predict stream color) ; → 0.0-1.0
```
## Time Travel
```hy
;; Travel to specific index
(.time-travel surface 10 "LIVE")
;; Mark pattern as disallowed
(.mark-disallowed surface 10 5 TAP-LIVE)
;; Attempt disallowed travel → error
(.time-travel surface 5 "LIVE")
=======
### 7 DiscoHy Operad Variants
| Operad | File | Trit | Structure |
|--------|------|------|-----------|
| **Little Disks** (E₂) | `discohy_operad_1_little_disks.py` | ⊕ +1 | Configuration of non-overlapping disks |
| **Cubes** (E_∞) | `discohy_operad_2_cubes.py` | ⊖ -1 | Hypercube parallel structures |
| **Cactus** | `discohy_operad_3_cactus.py` | ⊖ -1 | Trees with cycles (self-modification) |
| **Thread** | `discohy_operad_4_thread.py` | ⊙ 0 | Thread continuations + DuckDB |
| **Gravity** | `discohy_operad_5_gravity.lisp` | ⊖ -1 | Moduli M_{0,n} with involutions |
| **Modular** | `discohy_operad_6_modular.bb` | ⊕ +1 | Genus-labeled runtime polymorphism |
| **Swiss-Cheese** | `discohy_operad_7_swiss_cheese.py` | ⊕ +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
```python
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
```hy
#!/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
```julia
@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:
```python
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
# ...
>>>>>>> origin/feature/skill-connectivity-hub-20251226
```
## DuckDB Integration
```sql
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-- Query color history
SELECT * FROM color_history
WHERE stream_id LIKE 'alice%'
ORDER BY timestamp DESC;
-- View time travel log
SELECT * FROM time_travel_log
WHERE status = 'DISALLOWED';
```
## Configuration
```toml
[discohy-streams]
seed = 1069 # 0x42D
streams = ["LIVE", "VERIFY", "BACKFILL"]
learning_rate = 0.1
db_path = ":memory:"
=======
-- 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
```bash
# 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
>>>>>>> origin/feature/skill-connectivity-hub-20251226
```
## See Also
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- `plurigrid/discohy` - Hy wrapper for discopy
- `gay_world_ducklake.hy` - Full implementation
- `unified_verification_bridge.jl` - 1/4 verification
=======
- `acsets` - Algebraic databases (schema category)
- `triad-interleave` - GF(3) balanced scheduling
- `gay-mcp` - Deterministic color generation
- `three-match` - 3-SAT via colored subgraph isomorphism
- `world-hopping` - Badiou triangle navigation
>>>>>>> origin/feature/skill-connectivity-hub-20251226
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