eml-spectral 2.0.2

EML-tree representations of Clifford algebras, octonions, exceptional algebras (E7/E8/Freudenthal), named GR metrics, lattices, and Lorentz-invariant ops. Built on eml-math.

EML-Spectral

v1.3.0 · The physics-and-algebra companion to eml-math. Pure Python core, zero required dependencies, optional Rust acceleration and C API.

EML-tree representations of:

• Clifford algebras Cl(p, q) with the geometric product, rotors, and the sandwich product
• Octonions — 8-component non-associative normed division algebra (Fano-plane multiplication)
• Exceptional algebras — FreudenthalTripleSystem (J₃(𝕆), 27D), E7_56 (56D rep), E8_248 (adjoint), E8xE8 (heterotic)
• Lorentz-invariant operations on EMLPoints (functional spacetime namespace)
• Named GR metrics — MetricTensor.flat / schwarzschild / flrw / ads5_x_s5 / calabi_yau_3 / klebanov_strassler / heterotic_e8x8 / g2_holonomy
• Lattices — E₈ root lattice, Leech lattice, Planck-scale discrete helpers
• Spectral flow — the discrete Φ operator, racetrack fixed points, the (b₃/24)·χ_eff topological invariant

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Install

pip install eml-spectral

This pulls in eml-math >= 1.3.0 automatically. Zero other required deps.

Optional extras:

pip install eml-spectral[ext]        # + numpy, sympy
pip install eml-spectral[precision]  # + mpmath
pip install eml-spectral[rust]       # + maturin (to build the Rust extension)
pip install eml-spectral[dev]        # + pytest, ruff, mypy, maturin

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Quickstart

from eml_math import EMLPoint
from eml_spectral import (
    EMLPair, EMLMultivector, Octonion, basis_octonion,
    FreudenthalTripleSystem, E7_56, E8_248, E8xE8,
    MetricTensor, EMLNDVector, MinkowskiFourVector, FourMomentum,
    spectral_flow, racetrack_fixed_point, topology_invariant,
)
from eml_spectral import spacetime

# Lorentz-invariant Minkowski interval (preserved under boost)
p = EMLPoint(1.0, 2.718)
print(spacetime.minkowski_delta(p))
p2 = spacetime.boost(p, 0.693)
print(abs(spacetime.minkowski_delta(p) - spacetime.minkowski_delta(p2)))   # ≈ 0

# Discrete spectral flow Φ — racetrack fixed points
traj = spectral_flow(EMLPoint(1.0, 1.0), steps=10)
print(traj[-1].x, traj[-1].y)

# Schwarzschild metric — analytic Christoffel symbols
g = MetricTensor.schwarzschild(rs=2.0)
print(g.is_curved(EMLPoint(3.0, 1.0)))                                    # True

# Octonion multiplication via the Fano plane
e1, e2, e4 = basis_octonion(1), basis_octonion(2), basis_octonion(4)
print((e1 * e2).norm())                                                   # 1.0  (= e4)

# Clifford algebra rotor — preserves quadratic form
mv = EMLMultivector([EMLPoint(1, 1)] * 4, signature=(1, -1))
R = mv.rotor(angle=0.5, plane=(0, 1))
print(abs(mv.rotate(R).quadratic() - mv.quadratic()))                      # ≈ 0

# E₈ × E₈ heterotic gauge group — analytic Cabibbo proxy
ee = E8xE8()
print(ee.portal_coupling())                                                # 1/√6
print(ee.racetrack_potential()["lambda_eff"])                              # exp(−2π/24)

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What's new in v1.3.0

Layer	What's added
Datasheet Get() API	Uniform with eml_math.Get() / metaphysica.Get() / future periodica.Get(). eml_spectral.Get('E8_dim') returns a JSON-serialisable dict for any spectral or math constant. 167 total constants reachable via one entry point (31 spectral + 136 math, delegated).
Rust acceleration	eml_spectral_core PyO3+Rayon module: octonion_mul_n, octonion_norm_n, spectral_flow_n, spectral_flow_batch, geometric_product_n, e8_norms_squared_n. Pure-Python fallback always present.
C / C++ API	c_api/eml_spectral.h plus libeml_spectral.{dll,so,a} — 14 exported functions covering spectral flow, octonions, Lorentz boosts, Schwarzschild Christoffels, Clifford geometric product, lattice norms. Zero deps.
Documentation	Static-HTML site under docs/ — index, API reference, user guide, mathematical concepts. Mirrors eml-math's docs style.
Tests	1166 tests (was 873) — full coverage of exceptional/, spectral flow, functional spacetime, axiom invariants, frame-shift safety, datasheet API.
Polish	Versions kept in sync with eml-math v1.3.0; _HAS_RUST flag exported; pyproject classified as Production/Stable.

Datasheet API

from eml_spectral import Get, list_constants

Get('E8_dim')          # {value: 248, kind: 'dimension', source: 'eml-spectral', ...}
Get('alpha_leak')      # {value: 1/√6, formula: '1/√6', kind: 'heterotic', ...}
Get('lambda_eff')      # racetrack-stabilised modulus exp(-2π/24)
Get('leech_kissing')   # 196560 — kissing number of the Leech lattice
Get('topology_invariant')  # 144 — the conserved Φ-flow Noether charge

Get('pi')              # delegated to eml-math: math.pi with EML derivation

list_constants()       # 167 total names (spectral + math, deduplicated)

Categories surfaced via the spectral catalogue:

• Algebra dimensions: g2_dim, f4_dim, e6_dim, e7_dim, e8_dim, e7_56, j3o_dim, octonion_dim, quaternion_dim, spacetime_dim, leech_dim
• Lattice constants: e8_min_norm, e8_min_norm_sq, e8_kissing (240), leech_min_norm, leech_min_norm_sq, leech_kissing (196560), d4_kissing (24)
• Topology: b3 (24), chi_eff (144), topology_invariant
• Heterotic / racetrack: alpha_leak (= portal_coupling), lambda_eff, cabibbo_proxy, n1_flux, n2_flux
• Spectral / G₂ seeds: edof, g2_seed_t_re, g2_seed_lambda
• Discrete / Planck: planck_d

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Optional Rust acceleration

When the wheel ships with the prebuilt extension (or you build it yourself with maturin develop --release), batch operations dispatch to Rayon-parallel Rust:

from eml_spectral import _HAS_RUST, eml_spectral_core as core

print("Rust available:", _HAS_RUST)
print(core.spectral_flow_step(1.0, 1.0))                          # → (1.0, e)
print(core.octonion_norm_n([[1, 0, 0, 0, 0, 0, 0, 0]] * 1000))     # parallel batch
print(core.e8_min_norm_squared())                                  # 2.0

To build from source:

$env:PYO3_PYTHON = "C:\path\to\python.exe"   # Windows
cargo build --release -p eml_spectral_core
# the .pyd / .so lands in target/release; copy into src/eml_spectral/

Listed via dir(eml_spectral_core):

Function	Purpose
octonion_mul, octonion_mul_n, octonion_norm_n	Fano-plane multiplication, batched
spectral_flow_step, spectral_flow_n, spectral_flow_batch	Φ iteration, batched starts
geometric_product_n	Clifford geometric product for Cl(p, q), Rayon-parallel
e8_norms_squared_n, e8_min_norm_squared, leech_min_norm_squared	Lattice norms
add_n	Element-wise addition (sanity check / template)

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Optional C API

A standalone C shared library — no Python needed — lives under c_api/. Build:

cargo build --release -p eml_spectral_c_api

Outputs (in target/release/):

• eml_spectral.dll (Windows) · libeml_spectral.so (Linux) · libeml_spectral.a (static)
• c_api/eml_spectral.h — full header with extern "C" guards

Exports 14 extern "C" functions:

Topic	Functions
Spectral flow	els_spectral_flow_step, els_spectral_flow, els_spectral_flow_batch
Octonion	els_octonion_mul, els_octonion_norm, els_octonion_mul_batch
Lorentz	els_minkowski_delta, els_rapidity, els_boost, els_boost_batch
Schwarzschild	els_schwarzschild_christoffel
Clifford	els_geometric_product (any Cl(p, q))
Lattice	els_e8_norm_squared, els_leech_norm_squared

Minimal C example (c_api/example.c):

#include <stdio.h>
#include "eml_spectral.h"

int main(void) {
    double x, y;
    els_spectral_flow_step(1.0, 1.0, &x, &y);
    printf("Phi(1, 1) = (%g, %g)\n", x, y);   /* (1.0, 2.71828) */
    return 0;
}

Build the example (Linux/macOS):

gcc example.c -L./target/release -leml_spectral -lm -o example

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Documentation

docs/ contains a static-HTML site (no build step, open files directly):

• docs/index.html — landing page with quickstart
• docs/api.html — full API reference (every public name in __all__)
• docs/guide.html — 11-section user guide
• docs/concepts.html — mathematical / physics primer
• docs/style.css — shared with eml-math for visual parity

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API surface

Major exports from eml_spectral:

# Algebras
EMLPair, EMLMultivector, Octonion, basis_octonion,
FreudenthalTripleSystem, E7_56, E8_248, E8xE8

# Spacetime  (functional namespace + class wrappers)
spacetime,                         # spacetime.minkowski_delta(p), boost(p, phi), …
MinkowskiFourVector, FourMomentum

# Spectral dynamics
spectral_flow, racetrack_fixed_point, topology_invariant, G2_SEEDS,
EMLState, simulate_pulses, simulate_flips, quantized_trajectory,
verify_conservation, frame_shift_count, find_resonance_bands

# Metrics  (factories: flat / schwarzschild / flrw / ads5_x_s5 / calabi_yau_3 /
#           klebanov_strassler / heterotic_e8x8 / g2_holonomy)
MetricTensor

# Lattices
EMLNDVector, e8_lattice_points, leech_lattice_points,
planck_delta, lattice_distance, is_lattice_neighbor

# Optional Rust flag
_HAS_RUST                          # True when eml_spectral_core is importable

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Why a separate package?

eml-math is the universal-math toolkit (operator, expression trees, symbolic regression, flow rendering). It stays small and physics-agnostic.

eml-spectral houses every EML-tree construction that's domain-specific to physics or exceptional algebra. Splitting them lets casual users of eml-math install the core without pulling in the algebra/physics weight, while researchers add pip install eml-spectral for the full toolkit.

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Project layout

eml-spectral/
├─ src/eml_spectral/          # Python sources (pure stdlib core)
│  ├─ pair.py                 # EMLPair (two-real complex)
│  ├─ geometric_algebra.py    # EMLMultivector — Clifford Cl(p, q)
│  ├─ octonion.py             # Octonion — Fano-plane product
│  ├─ exceptional/            # FreudenthalTripleSystem, E7_56, E8_248, E8xE8
│  ├─ metric.py               # MetricTensor + 8 factories
│  ├─ ndim.py                 # EMLNDVector + E₈ / Leech lattice generators
│  ├─ discrete.py             # Planck-scale lattice helpers
│  ├─ spacetime.py            # Functional Lorentz operations
│  ├─ momentum.py             # FourMomentum
│  ├─ fourvector.py           # MinkowskiFourVector
│  ├─ state.py                # EMLState
│  ├─ simulation.py           # simulate_pulses, verify_conservation, …
│  └─ spectral_flow.py        # Φ operator + topology_invariant + racetrack
├─ rust/eml_spectral_core/    # Optional PyO3+Rayon Rust extension
├─ c_api/                     # C/C++/Rust shared library
├─ docs/                      # Static-HTML documentation
├─ tests/                     # 1116 pytest tests
└─ examples/

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License

MIT — © Andrew K Watts. Based on the EML Sheffer operator established by Andrzej Odrzywolek (arXiv:2603.21852v2, CC BY 4.0).