Last Updated: 2026-03-16 Current Version: v0.12.0 (December 2025) → v1.0 (2026-Q2) Status: 39 Production Domains | 606 Operators | 1,912 Tests | Migration Complete ✅ Detailed Analysis: DOMAIN_STATUS_ANALYSIS.md | Migration History: docs/guides/DOMAIN_MIGRATION_GUIDE.md
Achievement: All 39 domains now production-ready with full @operator decorator integration
Impact:
- ✅ 39 production domains (up from 25 in v0.11.0)
- ✅ 606 operators total (up from 386)
- ✅ 1,912 comprehensive tests (up from 1,705 at v0.12.0)
- ✅ Migration complete: All legacy domains integrated
New Domains Available (Phase 3-5):
- Chemistry Suite (9 domains): molecular, qchem, thermo, kinetics, electrochem, catalysis, transport, multiphase, combustion
- Specialized Physics (4 domains): thermal_ode, fluid_network, fluid_jet
- Audio Extensions (2 domains): audio_analysis, instrument_model
Documentation:
- Updated README, ROADMAP, CHANGELOG to reflect v0.12.0
- Created first Phase 3 integration example (fluid_jet domain)
- Test coverage: 25 new tests for Phase 3 domains
Next Steps: Integration examples for audio_analysis and instrument_model; v1.0 preparation — see ROADMAP.md P0
See: CHANGELOG.md for detailed migration summary
Commit: 8ab2496 - fix: Export constant operator for registry discovery
Problem: Constant operator was implemented but missing module-level export, causing registry discovery to fail. OperatorExecutor returned zeros for the operator, breaking filter state tests.
Solution: Added single line constant = AudioOperations.constant to enable operator discovery.
Impact:
- ✅ Operator count: 59 → 60
- ✅ Filter state test: PASSING (< 1e-6 error)
- ✅ All 8 tests passing (4 GraphIR state + 4 constant)
- ✅ SimplifiedScheduler filter_state support confirmed working
Files Modified:
morphogen/stdlib/audio.py(+1 line)docs/specifications/audio-synthesis.md(documentation update)tests/test_audio_basic.py(from prior session)tests/test_graphir_state_management.py(from prior session)
All accessible via use statement - 606 operators total
Core Infrastructure:
- Language Frontend: Complete lexer, parser, AST, type system
- Python Runtime: Full interpreter with NumPy backend
- Visualization: PNG/JPEG export, interactive display, video export (MP4/GIF)
All Production Domains (39 fully integrated):
Physics & Simulation:
- field (19 ops): PDE operations (diffuse, advect, project, Laplacian) ✅
- agent (13 ops): Sparse particle systems, forces, field coupling ✅
- rigidbody (12 ops): 2D rigid body dynamics, collision detection ✅
- integrators (9 ops): Euler, RK2, RK4, Verlet, adaptive methods ✅
- acoustics (9 ops): 1D waveguides, impedance, radiation ✅
Audio & Signal Processing: 6. audio (60 ops): Synthesis, filters, envelopes, effects, physical modeling ✅ 7. signal (20 ops): FFT, STFT, filtering, windowing, spectral analysis ✅ 8. temporal (24 ops): Delays, timers, clocks, event sequences ✅
Visual & Graphics: 9. visual (11 ops): Colorization, agent rendering, layer composition ✅ 10. vision (13 ops): Edge detection, feature extraction, morphology ✅ 11. terrain (11 ops): Perlin noise, erosion, biome classification ✅ 12. color (20 ops): RGB/HSV/HSL conversions, blend modes ✅ 13. image (18 ops): Convolution, transforms, filtering, compositing ✅ 14. noise (11 ops): Perlin, simplex, Worley, fBm, ridged multifractal ✅ 15. palette (21 ops): Scientific colormaps, gradients, cosine palettes ✅
AI & Optimization: 16. optimization (5 ops): Genetic algorithms, CMA-ES, particle swarm ✅ 17. genetic (17 ops): Selection, crossover, mutation operators ✅ 18. neural (16 ops): Layers, activations, backprop ✅ 19. cellular (18 ops): Conway's Life, custom rules, analysis ✅ 20. statemachine (15 ops): FSM, behavior trees, event-driven transitions ✅
Data & Infrastructure: 21. graph (19 ops): Dijkstra, centrality, community detection, max flow ✅ 22. sparse_linalg (13 ops): Sparse matrices, iterative solvers ✅ 23. io_storage (10 ops): Image/audio/HDF5 I/O, checkpointing ✅ 24. geometry (49 ops): 2D/3D spatial operations, transformations ✅ 25. circuit (15 ops): DC/AC/transient analysis, MNA solver (Phase 1) ✅
Chemistry Suite (9 domains): 26. molecular (33 ops): Molecular dynamics, force fields, simulations ✅ 27. qchem (13 ops): Quantum chemistry, electronic structure calculations ✅ 28. thermo (12 ops): Thermodynamics, equations of state, phase equilibria ✅ 29. kinetics (11 ops): Chemical kinetics, reaction rates, mechanisms ✅ 30. electrochem (13 ops): Electrochemistry, Nernst equation, batteries ✅ 31. catalysis (11 ops): Catalytic cycles, mechanisms, turnover ✅ 32. transport (17 ops): Transport properties (diffusion, viscosity, conductivity) ✅ 33. multiphase (8 ops): Multiphase flow, mass transfer, separation ✅ 34. combustion (8 ops): Combustion kinetics, flame dynamics, ignition ✅
Specialized Physics (4 domains): 35. thermal_ode (4 ops): 1D thermal modeling, heat transfer ✅ 36. fluid_network (4 ops): 1D network flow, pipes, hydraulics ✅ 37. fluid_jet (8 ops): Jet dynamics, turbulence, entrainment ✅
Audio Extensions (2 domains): 38. audio_analysis (9 ops): Spectral analysis, onset detection, pitch tracking ✅ 39. instrument_model (10 ops): Physical modeling synthesis, instruments ✅
Testing: 1,705 tests total (1,454 passing, 251 MLIR skipped)
All 39 domains now production-ready with full @operator decorator integration.
Migration History (v0.11.0 → v0.12.0):
- Phase 1-2: 25 domains integrated (completed v0.11.0)
- Phase 3: Chemistry suite (9 domains) migrated
- Phase 4: Specialized physics (4 domains) migrated
- Phase 5: Audio extensions (2 domains) migrated
Result: All legacy function-based domains converted to modern @operator system, accessible via use statement.
See: docs/guides/DOMAIN_MIGRATION_GUIDE.md for migration history and patterns
- Phase 1 (Foundation): ✅ COMPLETE - MLIR context, compiler V2, proof-of-concept
- Phase 2 (Field Operations Dialect): ✅ COMPLETE - Custom field dialect with 4 operations, field-to-SCF lowering pass, full test suite, examples, and benchmarks
- Phase 3 (Temporal Execution): ✅ COMPLETE - Temporal dialect with 6 operations, temporal-to-SCF lowering pass, state management, flow execution
- Phase 4 (Agent Operations): ✅ COMPLETE - Agent dialect with 4 operations, agent-to-SCF lowering pass, behavior system, 36 tests, 8 examples (~2,700 lines)
- Phase 5 (Audio Operations): ✅ COMPLETE - Audio dialect with 4 operations, audio-to-SCF lowering pass, oscillator/filter/envelope/mix operations
- Phase 6 (JIT/AOT Compilation): ✅ COMPLETE - LLVM lowering, JIT engine with caching, AOT compiler (7 output formats), ExecutionEngine API (~4,400 lines)
- Timeline: 12-month effort launched 2025-11-14, ALL 6 PHASES COMPLETE Nov 15, 2025 🎉
- MLIR Text-Based IR: Legacy
ir_builder.pyandoptimizer.py(marked deprecated) - Will be maintained during v0.7.0 transition, removed in v0.8.0+
Major Milestone: Chemistry suite (9 domains), Procedural graphics (4 domains), and specialized physics domains added. All 40 domains now accessible from .morph source files with full type safety and cross-domain validation.
Major Milestone: USE statement + Geometry domain + Level 3 type system complete. All domains accessible from .morph source files with full type safety and cross-domain validation.
Key Achievements:
-
USE Statement Implementation ✅ (PR #99)
- Complete lexer, parser, AST, runtime support
- Import syntax:
use field, audio, rigidbody - 16 comprehensive tests (all passing)
- Runtime validation against DomainRegistry
- Unlocks all 423+ operators for
.morphprograms - Example:
examples/use_statement_demo.morph
-
Geometry Domain ✅ (PR #100, #101, #102)
- 50+ operators for 2D/3D spatial operations
- 5 layers: primitives, transformations, queries, coordinate conversion, properties
- 90 comprehensive tests covering all operators
- 6 cross-domain examples (bouncing spheres, Voronoi, Delaunay, mesh morphing)
- NumPy-based implementation with deterministic operations
-
Level 3 Type System ✅ (PR #98)
- Physical unit checking:
[m],[kg],[s],[K],[N], etc. - Rate compatibility validation for cross-domain operations
- Cross-domain type safety validators
- 595 tests for validators and rate compatibility
- See
LEVEL_3_TYPE_SYSTEM.mdfor complete specification
- Physical unit checking:
-
Level 2 Integration Complete ✅ (PR #96, expanded in v0.11.0)
- All 40 domains registered and working
- 500+ operators accessible via USE statement
- Complete domain catalog across physics, chemistry, graphics, AI, and data analysis
- Operator catalog complete across all domains
-
Cross-Domain Examples ✅ (PR #97)
- Audio visualizer (real-time field + audio + visual)
- Generative art installation (geometry + field + agents)
- Interactive physics sandbox (rigidbody + visual + agents)
- Demonstrates USE statement + multi-domain composition
Technical Impact:
- 64 files changed, 16,608 lines added
- 900+ total tests across all domains
- Complete operator registry with DomainRegistry
- Full type safety across domain boundaries
- Production-ready cross-domain composition
What This Enables:
- Write
.morphprograms using any of 500+ operators - Type-safe cross-domain connections (field → agent, geometry → audio, molecular → field, etc.)
- Physical unit validation at runtime
- Rate-aware composition for audio/visual/physics sync
- Chemistry simulations (molecular dynamics, quantum chemistry, kinetics)
- Procedural graphics (noise → palette → image pipeline)
Complete Domain Catalog (40 domains implemented):
Production-Ready (v0.11.0):
- Physics: Field, Agent, RigidBody, Integrators, Acoustics, Thermal, Fluid Network/Jet
- Audio: Audio/DSP, Signal, Audio Analysis, Instrument Modeling
- Visual: Visual, Vision, Terrain, Color, Image, Noise, Palette
- Chemistry: Molecular, QChem, Thermo, Kinetics, Electrochem, Transport, Catalysis, Multiphase, Combustion
- AI/Data: Optimization, Genetic, Neural, Graph, Sparse LA, StateMachine, IO/Storage
- Specialized: Cellular, Geometry, Temporal, Circuit, Flappy
Architecture Documented (Future expansion):
- Symbolic/Algebraic, Control & Robotics, Advanced Fluids (CFD), Advanced Circuit (SPICE-complete)
See docs/DOMAIN_ARCHITECTURE.md for complete vision.
- Domain Implementation (v0.11+): Implement specification-ready domains (Circuit, FluidDynamics, InstrumentModeling)
- Physical Units: ✅ Type system complete, dimensional analysis working in Level 3
- Hot-reload: Architecture designed, not implemented yet
- GPU Acceleration: Via MLIR GPU dialect (planned for future phases)
- Visual Rendering Dialect: Planned as potential Phase 7
- Web IDE: Browser-based editor with live preview and operator gallery
Status: Fully implemented and tested
Implemented:
- ✅ 40+ token types (numbers, strings, identifiers, keywords, operators)
- ✅ Physical unit annotations
[m],[m/s],[Hz], etc. - ✅ Decorator syntax
@state,@param - ✅ Comment handling (single-line)
- ✅ Source location tracking for error messages
- ✅ Complete error reporting with line/column numbers
Location: morphogen/lexer/lexer.py
Tests: Full coverage in tests/test_lexer.py
Status: Full recursive descent parser with complete AST generation
Implemented:
- ✅ Expression parsing (literals, identifiers, binary/unary ops, calls, field access)
- ✅ Statement parsing (assignments, functions, flow blocks)
- ✅ Type annotations with physical units
Field2D<f32 [K]> - ✅ Function definitions with typed parameters
- ✅ Lambda expressions with closure capture
- ✅ If/else expressions
- ✅ Struct definitions and literals
- ✅ Flow blocks with dt, steps, substeps
- ✅ Operator precedence (PEMDAS)
- ✅ Error recovery and reporting
Location: morphogen/parser/parser.py (~700 lines)
Tests: tests/test_parser.py, tests/test_parser_v0_3_1.py
Complete v0.3.1 Syntax Features:
- ✅ Functions:
fn add(a: f32, b: f32) -> f32 { return a + b } - ✅ Lambdas:
let f = |x| x * 2 - ✅ Structs:
struct Point { x: f32, y: f32 } - ✅ Struct literals:
Point { x: 3.0, y: 4.0 } - ✅ If/else:
if condition then value else other - ✅ Flow blocks:
flow(dt=0.1, steps=100) { ... } - ✅ State variables:
@state temp = ...
Status: Comprehensive type definitions with physical units
Implemented:
- ✅ Scalar types:
f32,f64,i32,u64,bool - ✅ Vector types:
Vec2<f32>,Vec3<f32> - ✅ Field types:
Field2D<T>,Field3D<T> - ✅ Struct types: User-defined struct definitions
- ✅ Function types: First-class functions with signatures
- ✅ Physical unit annotations:
[m],[s],[m/s],[K], etc. - ✅ Type compatibility checking
- ✅ Type inference
Location: morphogen/ast/types.py
Limitations:
⚠️ Physical unit checking not enforced at runtime (annotations only)⚠️ Unit dimensional analysis not implemented
Status: Full-featured interpreter with NumPy backend
Implemented:
- ✅ Expression evaluation (all operators, function calls, field access)
- ✅ Variable and state management with proper scoping
- ✅ Flow block execution (dt-based time stepping)
- ✅ Function definitions and calls
- ✅ Lambda expressions with closure capture
- ✅ Struct instantiation and field access
- ✅ If/else conditional evaluation
- ✅ Double-buffer state management
- ✅ Deterministic RNG with seeding
- ✅ Error handling with clear messages
Location: morphogen/runtime/runtime.py (855 lines)
Tests: tests/test_runtime.py, tests/test_runtime_v0_3_1.py
Performance:
- Parses typical programs in ~50ms
- Executes field operations at ~1s per frame for 256×256 grids
- Scales to 512×512 grids without issues
Status: NumPy-backed field implementation
Implemented:
- ✅
field.alloc(shape, fill_value)- Field allocation - ✅
field.random(shape, seed, low, high)- Deterministic random initialization - ✅
field.advect(field, velocity, dt)- Semi-Lagrangian advection - ✅
field.diffuse(field, rate, dt, iterations)- Jacobi diffusion solver - ✅
field.project(velocity, iterations)- Pressure projection (incompressibility) - ✅
field.combine(a, b, operation)- Element-wise ops (add, mul, sub, div, min, max) - ✅
field.map(field, func)- Apply functions (abs, sin, cos, sqrt, square, exp, log) - ✅
field.boundary(field, spec)- Boundary conditions (reflect, periodic) - ✅
field.laplacian(field)- 5-point stencil Laplacian - ✅
field.gradient(field)- Central difference gradient - ✅
field.divergence(field)- Divergence operator
Location: morphogen/stdlib/field.py (369 lines)
Tests: tests/test_field_operations.py (27 comprehensive tests)
Determinism: ✅ Verified - all operations produce identical results with same seed
Use Cases:
- ✅ Heat diffusion
- ✅ Reaction-diffusion (Gray-Scott)
- ✅ Fluid simulation (Navier-Stokes with projection)
- ✅ Wave propagation
- ✅ Advection-diffusion
Status: Full agent-based modeling with sparse particle systems
Implemented:
- ✅
agents.alloc(count, properties)- Agent collection allocation - ✅
agents.map(agents, property, func)- Apply function to each agent - ✅
agents.filter(agents, property, condition)- Filter agents by condition - ✅
agents.reduce(agents, property, operation)- Aggregate across agents - ✅
agents.compute_pairwise_forces(...)- N-body force calculations - ✅
agents.sample_field(agents, field, property)- Sample fields at agent positions - ✅ Spatial hashing for O(n) neighbor queries
- ✅ Alive/dead agent masking
- ✅ Property-based data structure (pos, vel, mass, etc.)
Location: morphogen/stdlib/agents.py (569 lines)
Tests: 85 comprehensive tests across 4 test files:
tests/test_agents_basic.py(25 tests) - Allocation, properties, maskstests/test_agents_operations.py(29 tests) - Map, filter, reducetests/test_agents_forces.py(19 tests) - Pairwise forces, field samplingtests/test_agents_integration.py(12 tests) - Runtime integration, simulations
Use Cases:
- ✅ Boids flocking simulations
- ✅ N-body gravitational systems
- ✅ Particle systems
- ✅ Agent-field coupling (particles in flow fields)
- ✅ Crowd simulation
- ✅ SPH (Smoothed Particle Hydrodynamics) foundations
Example:
from morphogen.stdlib.agents import agents
# Create 1000 particles
particles = agents.alloc(
count=1000,
properties={
'pos': np.random.rand(1000, 2) * 100.0,
'vel': np.zeros((1000, 2)),
'mass': np.ones(1000)
}
)
# Compute gravitational forces
forces = agents.compute_pairwise_forces(
particles,
radius=50.0,
force_func=gravity_force,
mass_property='mass'
)
# Update velocities and positions
new_vel = particles.get('vel') + forces * dt
particles = particles.update('vel', new_vel)
particles = particles.update('pos', particles.get('pos') + new_vel * dt)Determinism: ✅ Verified - all operations produce identical results with same seed
Performance:
- ✅ 1,000 agents: Instant allocation
- ✅ 10,000 agents: ~0.01s allocation
- ✅ Spatial hashing enables O(n) neighbor queries vs O(n²) brute force
- ✅ NumPy vectorization for all operations
Status: Full visualization pipeline with multiple output modes
Implemented:
- ✅
visual.colorize(field, palette, vmin, vmax)- Scalar field → RGB - ✅ 4 palettes: grayscale, fire, viridis, coolwarm
- ✅
visual.output(visual, path, format)- PNG/JPEG export with Pillow - ✅
visual.display(visual)- Interactive Pygame window - ✅ sRGB gamma correction for proper display
- ✅ Custom value range mapping (vmin/vmax)
- ✅ Automatic normalization
Location: morphogen/stdlib/visual.py (217 lines)
Tests: tests/test_visual_operations.py (23 tests)
Example:
temp = field.random((128, 128), seed=42)
temp = field.diffuse(temp, rate=0.5, dt=0.1)
vis = visual.colorize(temp, palette="fire")
visual.output(vis, "output.png")STATUS UPDATE (2025-11-14): Transitioning from text-based IR to real MLIR integration!
Status: Temporal Execution fully implemented Timeline: 12+ month effort (Phases 1-3 complete: Months 1-9)
PHASE 1 (Foundation) - COMPLETE ✅:
- ✅ Design document - Comprehensive
docs/v0.7.0_DESIGN.md - ✅ MLIR Context Management -
morphogen/mlir/context.py - ✅ Module Structure - Dialects, lowering, codegen directories
- ✅ Compiler V2 -
morphogen/mlir/compiler_v2.pyusing real MLIR bindings - ✅ Proof-of-Concept -
examples/mlir_poc.py - ✅ Requirements - Installation instructions for MLIR Python bindings
- ✅ Graceful Degradation - Falls back to legacy when MLIR not installed
PHASE 2 (Field Operations Dialect) - COMPLETE ✅ (2025-11-14):
- ✅ Field Dialect -
morphogen/mlir/dialects/field.pywith 4 operations:FieldCreateOp: Allocate fields with dimensions and fill valueFieldGradientOp: Central difference gradient computationFieldLaplacianOp: 5-point stencil LaplacianFieldDiffuseOp: Jacobi diffusion solver
- ✅ Lowering Pass -
morphogen/mlir/lowering/field_to_scf.py- Transforms field ops → nested scf.for loops + memref operations
- Handles boundary conditions and stencil operations
- Double-buffering for iterative solvers
- ✅ Compiler Integration - Extended
compiler_v2.pywith field support - ✅ Tests -
tests/test_field_dialect.py(comprehensive test suite) - ✅ Examples -
examples/phase2_field_operations.py(working demos) - ✅ Benchmarks -
benchmarks/field_operations_benchmark.py
Architecture:
Morphogen AST → Field Dialect → FieldToSCFPass → SCF Loops + Memref → (Phase 4) LLVM → Native Code
Dependencies:
mlir>=18.0.0(install separately)pip install mlir -f https://github.com/makslevental/mlir-wheels/releases/expanded_assets/latest
PHASE 3 (Temporal Execution) - COMPLETE ✅ (2025-11-14):
- ✅ Temporal Dialect -
morphogen/mlir/dialects/temporal.pywith 6 operations:FlowCreateOp: Define flow blocks with dt and timestep countFlowStepOp: Single timestep execution (placeholder)FlowRunOp: Execute complete flow for N timestepsStateCreateOp: Allocate persistent state containersStateUpdateOp: Update state values (SSA-compatible)StateQueryOp: Read current state values
- ✅ Temporal Lowering Pass -
morphogen/mlir/lowering/temporal_to_scf.py- Transforms flow.run → scf.for loops with iter_args
- State.create → memref.alloc + initialization loops
- State.update → memref.store operations
- State.query → memref.load operations
- ✅ Compiler Integration - Extended
compiler_v2.pywith temporal support - ✅ Tests -
tests/test_temporal_dialect.py(comprehensive test suite) - ✅ Examples -
examples/phase3_temporal_execution.py(working demos)
Phases:
- Phase 1 (Months 1-3): Foundation + PoC ✅ COMPLETE
- Phase 2 (Months 4-6): Field operations dialect ✅ COMPLETE
- Phase 3 (Months 7-9): Temporal execution ✅ COMPLETE
- Phase 4 (Months 10-12): Agent operations ⏳ NEXT
- Phase 5 (Months 13-15): Audio operations 📋 PLANNED
- Phase 6 (Months 16-18): JIT/AOT compilation 📋 PLANNED
Location: morphogen/mlir/context.py, morphogen/mlir/compiler_v2.py, morphogen/mlir/dialects/field.py, morphogen/mlir/dialects/temporal.py, morphogen/mlir/lowering/field_to_scf.py, morphogen/mlir/lowering/temporal_to_scf.py
Documentation: docs/v0.7.0_DESIGN.md, PHASE3_COMPLETION_SUMMARY.md, requirements.txt
CRITICAL CLARIFICATION: The legacy "MLIR" implementation is text-based IR generation, NOT real MLIR bindings. Status: Deprecated - maintained for v0.6.0 compatibility during transition Will be removed: v0.8.0+
Status: Generates MLIR-like textual intermediate representation
What It Actually Is:
- Generates text strings that look like MLIR IR
- Does NOT use
mlir-python-bindings - Does NOT compile to native code
- Does NOT interface with LLVM
- Designed for development/testing without full MLIR build
Quote from source code:
"simplified intermediate representation that mimics MLIR's structure and semantics, allowing us to develop without full LLVM/MLIR build"
Implemented (Text Generation):
- ✅ Basic arithmetic operations (add, sub, mul, div, mod)
- ✅ Comparison operations (gt, lt, eq, ne, ge, le)
- ✅ Function definitions and calls
- ✅ SSA value management
⚠️ If/else (designed, not fully working)⚠️ Structs (designed, not fully working)⚠️ Flow blocks (designed, not fully working)
Location: morphogen/mlir/ir_builder.py, morphogen/mlir/compiler.py (1447 lines)
Tests: tests/test_mlir_*.py (72 tests, mostly testing text generation)
What This Means:
- ❌ Cannot generate native executables
- ❌ Cannot run on GPU
- ❌ Cannot optimize via LLVM
- ✅ Can validate compiler design
- ✅ Can prepare for real MLIR integration
Status: Basic passes exist but are limited
Implemented:
⚠️ Constant folding (basic)⚠️ Dead code elimination (basic)- ❌ Fusion (not implemented)
- ❌ Vectorization (not implemented)
- ❌ GPU lowering (not implemented)
Location: morphogen/mlir/optimizer.py
Reality: These are placeholder implementations to demonstrate the architecture, not production optimization passes.
Status: Complete audio synthesis and processing implementation
Implemented:
- ✅ Oscillators: sine, saw, square, triangle, noise (white/pink/brown), impulse
- ✅ Filters: lowpass, highpass, bandpass, notch, 3-band EQ
- ✅ Envelopes: ADSR, AR, exponential decay
- ✅ Effects: delay, reverb, chorus, flanger, drive/distortion, limiter
- ✅ Utilities: mix, gain, pan, clip, normalize, db2lin
- ✅ Physical Modeling: Karplus-Strong string synthesis, modal synthesis
- ✅ Deterministic synthesis (same seed = same output)
- ✅ NumPy-based for performance
Location: morphogen/stdlib/audio.py (1,250+ lines)
Tests: 192 comprehensive tests across 6 test files:
tests/test_audio_basic.py(42 tests) - Oscillators, utilities, bufferstests/test_audio_filters.py(36 tests) - All filter operationstests/test_audio_envelopes.py(31 tests) - Envelope generatorstests/test_audio_effects.py(35 tests) - Effects processingtests/test_audio_physical.py(31 tests) - Physical modelingtests/test_audio_integration.py(17 tests) - Full compositions, runtime
Test Results: 184 of 192 tests passing (96% pass rate)
Use Cases:
- ✅ Synthesized tones and pads
- ✅ Plucked string instruments
- ✅ Bell and percussion sounds
- ✅ Drum synthesis
- ✅ Effect chains (guitar, vocal, mastering)
- ✅ Complete musical compositions
Example:
from morphogen.stdlib.audio import audio
# Plucked string synthesis
exc = audio.noise(noise_type="white", seed=1, duration=0.01)
exc = audio.lowpass(exc, cutoff=6000.0)
pluck = audio.string(exc, freq=220.0, t60=1.5, damping=0.3)
final = audio.reverb(pluck, mix=0.12, size=0.8)Determinism: ✅ Verified - all operations produce identical results with same seed
Status: Full visualization pipeline with agent rendering and layer composition
Implemented:
- ✅ Field colorization and output
- ✅
visual.agents()- Agent rendering with property-based styling - ✅
visual.layer()- Layer creation and conversion - ✅
visual.composite()- Multi-layer composition with blend modes - ✅
visual.video()- Video export (MP4, GIF) - ✅ Property-based coloring (color_property + palette)
- ✅ Property-based sizing (size_property + size_scale)
- ✅ Multiple blend modes (over, add, multiply, screen, overlay)
Location: morphogen/stdlib/visual.py (782 lines)
Tests: tests/test_visual_extensions.py (34 tests)
Not Implemented:
- ❌
visual.filter()- Post-processing effects (blur, sharpen) - ❌
visual.coord_warp()- Geometric warps - ❌ Text overlay support
Status: 247 tests covering all working features
Test Files:
tests/test_lexer.py- Lexer teststests/test_parser.py- Parser teststests/test_parser_v0_3_1.py- v0.3.1 syntax teststests/test_runtime.py- Runtime interpreter teststests/test_runtime_v0_3_1.py- v0.3.1 runtime featurestests/test_field_operations.py- Field operations (27 tests)tests/test_visual_operations.py- Visualization (23 tests)tests/test_mlir_*.py- MLIR text generation (72 tests)tests/test_integration.py- End-to-end teststests/test_examples_v0_3_1.py- Example program tests
Coverage:
- ✅ All working features have tests
- ✅ Determinism verified
- ✅ Edge cases covered
- ✅ Error handling tested
To Run Tests:
pip install -e ".[dev]" # Installs pytest and other dev dependencies
pytest -vStatus: Extensive, well-organized documentation
Implemented:
- ✅
README.md- Project overview and quick start - ✅
SPECIFICATION.md- Complete language specification (47KB) - ✅
ARCHITECTURE.md- Morphogen Stack architecture - ✅
ECOSYSTEM_MAP.md- Comprehensive ecosystem roadmap - ✅
AUDIO_SPECIFICATION.md- Audio dialect specification - ✅
docs/GETTING_STARTED.md- User guide - ✅
docs/TROUBLESHOOTING.md- Common issues and solutions - ✅
docs/SPEC-*.md- Detailed component specifications
Updated for v0.4.0:
- ✅ Agent dialect documentation added
- ✅ MLIR clarifications maintained
⚠️ README needs Agent dialect examples
Status: Basic CLI working with core commands
Implemented:
- ✅
morphogen run <file>- Execute Morphogen programs - ✅
morphogen parse <file>- Show AST structure - ✅
morphogen check <file>- Type checking (basic) - ✅
morphogen mlir <file>- Generate MLIR-like text - ✅
morphogen version- Show version info
Location: morphogen/cli.py
Installation:
pip install -e .
morphogen run examples/heat_diffusion.morph- Write Morphogen programs with full v0.3.1 syntax
- Parse them into AST
- Type-check them
- Execute them with Python/NumPy interpreter
- Use all field operations (diffuse, advect, project, etc.)
- Use all agent operations (alloc, map, filter, reduce, forces, field sampling)
- Create particle systems, boids, N-body simulations
- Couple agents with fields (particles in flow)
- Use all audio operations (oscillators, filters, envelopes, effects, physical modeling)
- Synthesize music and sound effects deterministically
- Apply audio effects chains (reverb, delay, distortion, etc.)
- Play audio in real-time with audio.play() ⭐ NEW in v0.6.0!
- Export audio to WAV/FLAC with audio.save() ⭐ NEW in v0.6.0!
- Load audio files with audio.load() ⭐ NEW in v0.6.0!
- Record audio from microphone with audio.record() ⭐ NEW in v0.6.0!
- Visualize agents with visual.agents() ⭐ NEW in v0.6.0!
- Composite visual layers with visual.composite() ⭐ NEW in v0.6.0!
- Export animations to MP4/GIF with visual.video() ⭐ NEW in v0.6.0!
- Visualize results (PNG export, interactive display)
- Verify deterministic behavior
- Run 580+ comprehensive tests (247 original + 85 agent + 184 audio + 64+ I/O tests)
- Compile to native code (MLIR is text-only)
- Enforce physical unit checking at runtime
- Use GPU acceleration
- Hot-reload code changes
Focus: Complete Domain Suite + Documentation + Chemistry/Materials Science
🎉 MAJOR: Project Renamed to Morphogen
- Named after Alan Turing's morphogenesis (1952)
- Aligns with architecture: simple primitives → emergent complexity
- Package:
morphogen→morphogen, CLI:morphogen→morphogen - Sister project "Philbrick" (analog hardware) established
- See ADR-011 for full rationale
Chemistry & Materials Science Suite (9 domains, ~5,800 lines):
- ✅ Molecular Dynamics (1324 lines, 30 functions)
- ✅ Quantum Chemistry (600 lines, 13 functions)
- ✅ Thermodynamics (595 lines, 12 functions)
- ✅ Chemical Kinetics (606 lines, 11 functions)
- ✅ Electrochemistry (639 lines, 13 functions)
- ✅ Transport Properties (587 lines, 17 functions)
- ✅ Catalysis (501 lines, 11 functions)
- ✅ Multiphase Flow (525 lines, 8 functions)
- ✅ Combustion (423 lines, 7 functions)
Specialized Physics Domains:
- ✅ Thermal ODE (356 lines) - Temperature dynamics, heat transfer
- ✅ Fluid Network (338 lines) - 1D network flow, pipes, junctions
- ✅ Fluid Jet (377 lines) - Jet dynamics, turbulence
- ✅ Audio Analysis (631 lines, 12 functions) - Spectral analysis, onset detection
- ✅ Instrument Modeling (478 lines) - Physical modeling synthesis
Advanced Graphics & Procedural Generation:
- ✅ Circuit/Electrical (799 lines) - DC/AC/transient analysis (Phase 1)
- ✅ Procedural Graphics Suite fully documented (noise, palette, color, image)
Documentation & Validation:
- ✅ DOMAIN_VALIDATION_REPORT.md - Comprehensive 40-domain analysis
- ✅ All 40 domains validated and cataloged
- ✅ README updated with chemistry suite documentation
- ✅ Complete cross-domain integration examples
Test Coverage: 900+ tests across 63 test files
Total: 40 Production-Ready Computational Domains
Focus: Level 2 & 3 Integration Complete - USE Statement + Geometry Domain + Type System
Update 2025-11-18: Domain Export Visibility Fix
- ✅ 10 previously hidden domains now properly exported in
stdlib/__init__.py - ✅ Newly accessible: agents, audio, geometry, graph, optimization, signal, statemachine, temporal, terrain, vision
- ✅ All 25 implemented domains now importable:
from morphogen.stdlib import <domain> - ✅ Validated: All domains functional with comprehensive operator sets
Level 2 Integration - All 25 Domains:
- ✅ USE statement fully implemented (lexer, parser, AST, runtime)
- ✅ 374+ operators across 25 domains accessible from
.morphfiles - ✅ 16 comprehensive USE statement tests (all passing)
- ✅ Domain import syntax:
use field, audio, rigidbody - ✅ Runtime validation against DomainRegistry
- ✅ All domains registered and working: field, visual, agent, graph, signal, statemachine, terrain, vision, acoustics, color, genetic, image, integrators, io, neural, noise, optimization, palette, rigidbody, sparse_linalg, temporal, audio, geometry
Geometry Domain (NEW):
- ✅ 50+ operators for 2D/3D spatial operations
- ✅ 5 layers: primitives (8), transformations (13), spatial queries (10), coordinate conversion (4), properties (4)
- ✅ 90 comprehensive tests covering all operators
- ✅ 6 working examples with cross-domain integration
- ✅ NumPy-based implementation with deterministic operations
Level 3 Type System:
- ✅ Physical unit checking implemented (
[m],[kg],[s],[K],[N], etc.) - ✅ Rate compatibility validation for cross-domain operations
- ✅ Cross-domain type safety validators
- ✅ 595 tests for validators and rate compatibility
- ✅ See LEVEL_3_TYPE_SYSTEM.md for complete specification
Temporal Domain (NEW):
- ✅ 24 operators for temporal logic and scheduling
- ✅ Delay lines, timers, clocks, event sequences
- ✅ Temporal composition and rhythm generation
- ✅ Frame-accurate scheduling
Cross-Domain Examples:
- ✅ Audio visualizer (real-time field + audio + visual)
- ✅ Generative art installation (geometry + field + agents)
- ✅ Interactive physics sandbox (rigidbody + visual + agents)
- ✅ Bouncing spheres, Voronoi heat, Delaunay terrain
- ✅ Geometry patrol, mesh morphing, convex hull art
Documentation:
- ✅ LEVEL_3_TYPE_SYSTEM.md (377 lines)
- ✅ Updated README with USE statement section
- ✅ Comprehensive CHANGELOG with all changes
- ✅ Domain Finishing Guide
Test Count: 900+ total tests (all domains + USE + geometry + type system)
Files Changed: 64 files, 16,608 insertions
Commits: PR #96, #97, #98, #99, #100, #101, #102
Focus: Five Core Domains Implementation
New Domains:
- ✅ Graph/Network domain with Dijkstra, centrality, community detection, max flow
- ✅ Signal Processing domain with FFT, STFT, filtering, windowing, spectral analysis
- ✅ State Machines domain with FSM, behavior trees, event-driven transitions
- ✅ Terrain Generation domain with Perlin noise, erosion, biome classification
- ✅ Computer Vision domain with edge detection, feature extraction, morphology
Infrastructure:
- ✅ DomainRegistry for unified operator management
- ✅ Operator decorator pattern standardized across all domains
- ✅ Cross-domain operator catalog established
Focus: Domain Expansion & Integration Foundation
New Domains:
- ✅ Cellular Automata (Conway's Life, custom rules, analysis)
- ✅ Optimization (genetic algorithms, CMA-ES, particle swarm)
- ✅ RigidBody Physics (2D rigid body dynamics, collision detection)
Infrastructure:
- ✅ stdlib/ organization for all domains
- ✅ Operator registry system foundation
- ✅ Cross-domain integration patterns established
Focus: Real MLIR Integration - Complete Stack
All 6 Phases Complete:
- ✅ Phase 1: MLIR context, compiler V2, proof-of-concept
- ✅ Phase 2: Field Operations Dialect (4 operations, field-to-SCF lowering)
- ✅ Phase 3: Temporal Execution (6 operations, temporal-to-SCF lowering)
- ✅ Phase 4: Agent Operations (4 operations, agent-to-SCF lowering, 36 tests)
- ✅ Phase 5: Audio Operations (4 operations, audio-to-SCF lowering)
- ✅ Phase 6: JIT/AOT Compilation (LLVM lowering, JIT engine, 7 output formats)
Timeline: 12-month effort launched 2025-11-14, ALL 6 PHASES COMPLETE Nov 15, 2025 🎉
Code: ~4,400 lines across mlir_v2/ directory Tests: Complete test suites for all dialects Examples: 8+ working MLIR compilation examples
Focus: Audio I/O and Visual Extensions - Complete multimedia I/O pipeline
Audio I/O:
- ✅ Real-time audio playback with
audio.play()(sounddevice backend) - ✅ WAV export/import with
audio.save()andaudio.load()(soundfile/scipy) - ✅ FLAC export/import for lossless audio (soundfile backend)
- ✅ Microphone recording with
audio.record()(sounddevice backend) - ✅ Sample rate conversion and format handling
- ✅ Mono and stereo support
Visual Extensions:
- ✅ Agent visualization with
visual.agents()- render particles/agents as points/circles - ✅ Color-by-property support (velocity, energy, etc.) with palettes
- ✅ Size-by-property support for variable-size agents
- ✅ Layer composition system with
visual.layer()andvisual.composite() - ✅ Multiple blending modes (over, add, multiply, screen, overlay)
- ✅ Per-layer opacity control
- ✅ Video export with
visual.video()- MP4 and GIF support (imageio backend) - ✅ Frame generator support for memory-efficient animations
Integration:
- ✅ Field + Agent visual composition workflows
- ✅ Audio-visual synchronized content examples
- ✅ Multi-modal export (audio + video)
- ✅ 64+ new I/O integration tests (24 audio I/O, 40+ visual extensions)
Dependencies Added:
- sounddevice >= 0.4.0 (audio playback/recording)
- soundfile >= 0.12.0 (WAV/FLAC I/O)
- scipy >= 1.7.0 (WAV fallback)
- imageio >= 2.9.0 (video export)
- imageio-ffmpeg >= 0.4.0 (MP4 codec)
Test Count: 580+ total (247 original + 85 agent + 184 audio + 64+ I/O tests)
Focus: Audio Dialect Implementation - Production-ready audio synthesis
- ✅ Complete AudioBuffer type and operations
- ✅ Oscillators: sine, saw, square, triangle, noise (white/pink/brown), impulse
- ✅ Filters: lowpass, highpass, bandpass, notch, 3-band EQ (biquad filters)
- ✅ Envelopes: ADSR, AR, exponential decay
- ✅ Effects: delay, reverb, chorus, flanger, drive/distortion, limiter
- ✅ Utilities: mix, gain, pan, clip, normalize, db2lin
- ✅ Physical modeling: Karplus-Strong string synthesis, modal synthesis
- ✅ 192 comprehensive audio tests (184 passing)
- ✅ Runtime integration (audio namespace available)
- ✅ Deterministic synthesis verified
- ✅ Full composition examples (plucked strings, bells, drums, effect chains)
Test Count: 516 total (247 original + 85 agent + 184 audio tests)
Focus: Agent Dialect Implementation - Sparse particle/agent-based modeling
- ✅ Complete Agents type system
- ✅ Agent operations: alloc, map, filter, reduce
- ✅ Pairwise force calculations with spatial hashing
- ✅ Field-agent coupling (sample fields at agent positions)
- ✅ 85 comprehensive tests for agent functionality
- ✅ Runtime integration (agents namespace available)
- ✅ Performance optimizations (O(n) neighbor queries)
- ✅ Deterministic execution verified
Test Count: 332 total (247 original + 85 agent tests)
Focus: Struct literals, documentation alignment, v0.3.1 syntax complete
- ✅ Struct literal support with parser and runtime
- ✅ All v0.3.1 syntax features working
- ✅ Documentation alignment and accuracy improvements
- ✅ Fixed version inconsistencies
- ✅ Ecosystem map documentation
Focus: Complete v0.3.0 syntax features
- ✅ Function definitions
- ✅ Lambda expressions with closures
- ✅ If/else expressions
- ✅ Enhanced flow blocks (dt, steps, substeps)
- ✅ Return statements
- ✅ Recursion and higher-order functions
Focus: MVP completion - working field simulations
- ✅ Complete field operations (advect, diffuse, project, etc.)
- ✅ Visualization pipeline (colorize, output, display)
- ✅ Python runtime interpreter
- ✅ 66 comprehensive tests
- ✅ Documentation (Getting Started, Troubleshooting)
Focus: Language frontend
- ✅ Lexer and parser
- ✅ Type system with physical units
- ✅ AST generation and visitors
- ✅ Basic type checking
Completed: 2025-11-14
- ✅ Implement AudioBuffer type and operations
- ✅ Oscillators (sine, saw, square, triangle, noise, impulse)
- ✅ Filters (lowpass, highpass, bandpass, notch, EQ)
- ✅ Envelopes (ADSR, AR, exponential decay)
- ✅ Effects (delay, reverb, chorus, flanger, drive, limiter)
- ✅ Physical modeling (Karplus-Strong, modal synthesis)
- ✅ 192 comprehensive tests (184 passing)
- ✅ Full composition examples
Completed: 2025-11-14
- ✅ Implement Agents type
- ✅ Agent operations (map, filter, reduce)
- ✅ Force calculations (gravity, springs, spatial hashing)
- ✅ Field-agent coupling
- ✅ 85 comprehensive tests
Completed: 2025-11-14
- ✅ Real-time audio playback and recording
- ✅ Audio file export/import (WAV, FLAC)
- ✅ Agent visualization with property-based styling
- ✅ Layer composition system with blend modes
- ✅ Video export capabilities (MP4, GIF)
- ✅ 64+ I/O integration tests (24 audio I/O, 40+ visual extensions)
Target: 12+ months
- Integrate real
mlir-python-bindings - Implement actual MLIR dialects
- LLVM lowering and optimization
- Native code generation
- GPU compilation pipeline
Target: 18-24 months
- All dialects complete
- Physical unit checking enforced
- Hot-reload working
- Performance optimization
- Production-ready tooling
- Comprehensive examples and tutorials
⚠️ MLIR is text-based IR, not real MLIR compilation⚠️ Python interpreter only (no native code gen)⚠️ Physical units are annotations only, not enforced⚠️ No GPU support yet
- ❌ Advanced post-processing (blur, sharpen, custom filters) not implemented
- ❌ Text overlay support not implemented
- ❌ Module system not fully implemented
- ❌ Hot-reload not implemented
- ❌ Coordinate warping (visual.coord_warp) not implemented
⚠️ Python/NumPy interpreter adequate for prototyping but not production⚠️ Large grids (>512×512) are slow⚠️ No parallelization or GPU acceleration yet
- Real MLIR Integration - Replace text-based IR with actual MLIR bindings
- Performance Optimization - Profile-guided optimization, parallelization
- Advanced Visual Operations - Post-processing filters, text overlay
- Example Programs - More complex multi-modal compositions
- Documentation - Advanced tutorials, best practices
- Module composition system
- Physical units enforcement at runtime
- Hot-reload implementation
- Advanced examples and tutorials
- Production-ready performance
- Complete optimization pipeline
- Comprehensive documentation
- Production tooling and IDE integration
Morphogen v0.6.0 is a working, usable system for:
- Field-based simulations (heat, diffusion, fluids)
- Agent-based modeling (particles, boids, N-body systems)
- Audio synthesis and processing (deterministic music generation)
- Real-time audio playback and recording ⭐ NEW
- Audio file I/O (WAV, FLAC) ⭐ NEW
- Agent visualization with property-based styling ⭐ NEW
- Multi-layer visual composition ⭐ NEW
- Video export (MP4, GIF) ⭐ NEW
- Deterministic computation with reproducible results
- Interactive visualization and export
- Educational and research applications
But it is not yet production-ready for:
- High-performance applications (Python interpreter only)
- Native code generation (MLIR is text-only)
- GPU acceleration
- Advanced post-processing (blur, sharpen, text overlay)
The foundation is solid, the architecture is sound, and the path forward is clear. The project is in active development with complete multimedia I/O and three major dialects fully implemented (Field, Agent, Audio) with comprehensive visual extensions. Realistic roadmap to v1.0.
For detailed architecture, see: ARCHITECTURE.md For ecosystem overview, see: ECOSYSTEM_MAP.md For complete language spec, see: SPECIFICATION.md
Last Updated: 2025-11-21 Version: v0.11.0 → v1.0 Release Plan Active Current Status: Production-Ready - 40 Domains, 500+ Operators, 900+ Tests Target: v1.0 (2026-Q2)
🚀 v1.0 Target: 2026-Q2