Skip to main content

High-performance 3D coordinate system library with unified differential geometry, frame algebra, and topological-physics application APIs (friction, velocity-decay, non-Newtonian viscosity, sunspot cycle, geomagnetic reversal)

Project description

Coordinate System Library

High-performance 3D coordinate system and differential geometry library for Python.

PyPI version Python License

Authors: Pan Guojun
Version: 9.0.0
License: MIT
DOI: https://doi.org/10.5281/zenodo.14435613


Highlights

  • C++ math core: vec3, quat, coord3
  • Intrinsic gradient curvature (default)
  • Classical finite-difference curvature (reference)
  • Analytical fast path for Sphere/Torus and surfaces that provide derivatives
  • Caching for repeated samples
  • Spectral geometry and ComplexFrame internal-gauge utilities
  • Numerical ComplexFrame observables: conformal Einstein tensor, CS current, CS-gradient tensor
  • Clear CFUT layering: coord3 for geometry, ComplexFrame for the internal complex layer

Installation

pip install coordinate-system

Quick Start

Vectors and Frames

from coordinate_system import vec3, quat, coord3

v1 = vec3(1, 2, 3)
v2 = vec3(4, 5, 6)
dot = v1.dot(v2)
cross = v1.cross(v2)

q = quat(1.5708, vec3(0, 0, 1))  # 90 degrees around Z
rotated = q * v1

frame = coord3.from_angle(1.57, vec3(0, 0, 1))
world_pos = v1 * frame
local_pos = world_pos / frame

Curvature (Differential Geometry)

from coordinate_system import Sphere, compute_gaussian_curvature, compute_mean_curvature

sphere = Sphere(radius=1.0)
K = compute_gaussian_curvature(sphere, u=0.5, v=0.5)
H = compute_mean_curvature(sphere, u=0.5, v=0.5)
print(K, H)

Notes:

  • Intrinsic method returns signed mean curvature.
  • Classical method returns absolute mean curvature.

Topological Physics APIs

from coordinate_system import (
    predict_dynamic_stall,
    estimate_non_newtonian,
    mass_from_winding,
    infer_winding_from_mass,
    nearest_dm_shell,
)

stall = predict_dynamic_stall(cl_max_static=1.35, delta_alpha_deg=15.0)
rheo = estimate_non_newtonian(mu_reference_pa_s=0.0035, mu_observed_pa_s=0.0052)
proton = mass_from_winding(53861)
n_e = infer_winding_from_mass(0.51099895e6)
dm = nearest_dm_shell(6.2e3)

print(stall, rheo, proton.mass_MeV, n_e, dm)

Notes:

  • topological_physics now focuses on application-oriented interfaces.
  • Low-level field-equation internals and raw coupling parameters are not part of the public API.

ComplexFrame Numerical Interfaces

from coordinate_system import ComplexFrame, ComplexFrameField, GaugeConnection
import numpy as np

def frame_sampler(x):
    x = np.asarray(x, dtype=float)
    e1 = np.array([1.0 + 0.10j * x[0], 0.02 * x[1], 0.0], dtype=complex)
    e2 = np.array([0.0, 1.0 + 0.08j * x[1], 0.03 * x[2]], dtype=complex)
    e3 = np.array([0.01 * x[0], 0.0, 1.0 + 0.06j * x[2]], dtype=complex)
    return ComplexFrame(e1, e2, e3, ensure_unitary=True)

def gauge_sampler(x):
    x = np.asarray(x, dtype=float)
    return [
        GaugeConnection(su3_component=np.full(8, 0.01 * (1.0 + x[0]))),
        GaugeConnection(su2_component=np.array([0.02, 0.01 * (1.0 + x[1]), 0.0])),
        GaugeConnection(u1_component=0.03j * (1.0 + x[2])),
    ]

field = ComplexFrameField(frame_sampler=frame_sampler, gauge_sampler=gauge_sampler)
x0 = np.array([0.1, -0.2, 0.3])

G_conf = field.einstein_conformal_tensor(x0)
K = field.chern_simons_current(x0)
grad_K = field.cs_gradient_tensor(x0)
lhs = field.christmas_equation_lhs(x0, planck_mass=2.0, topo_lambda=0.5)

Notes:

  • ComplexFrame is the internal complex-frame layer, not the full CFUT closure by itself.
  • ComplexFrameField provides numerically computable proxies for Einstein/CS observables useful in regression tests and local experiments.

Curvature APIs

Intrinsic (default):

  • compute_gaussian_curvature(surface, u, v, step_size=1e-3)
  • compute_mean_curvature(surface, u, v, step_size=1e-3)
  • compute_riemann_curvature(surface, u, v, step_size=1e-3)
  • compute_curvature_tensor(surface, u, v, step_size=1e-3)

Classical (reference):

  • gaussian_curvature_classical(surface, u, v, step_size=1e-3)
  • mean_curvature_classical(surface, u, v, step_size=1e-3)

Methods

Intrinsic Gradient (default)

Computes curvature from the intrinsic frame and the gradient of the normal field. This path is usually faster and stable on smooth surfaces.

Classical Finite Differences

Uses 5-point stencils to compute first and second derivatives and then builds the fundamental forms. This is useful as a numerical reference.


Project Layout

coordinate_system/
  coordinate_system.pyd/.so      # C++ core (vec3, quat, coord3)
  topological_physics.py         # Application-level topological physics APIs
  spectral_geometry.py           # FourierFrame, spectral analysis
  complex_frame.py               # ComplexFrame, internal gauge utilities
  complex_frame_physics.py       # Computable Einstein/CS observables for ComplexFrame
  examples/complex_frame_gauge_demo.py  # Internal complex-frame demo
  differential_geometry.py       # Surface curvature
  visualization.py               # 3D visualization
  curve_interpolation.py         # C2-continuous interpolation
  topological_physics.py         # Public-safe topological physics formulas

Performance Notes

Performance depends on hardware and step size. For local benchmarks:

  • vec3 microbenchmarks: bench/compare_perf.py
  • curvature examples: examples/curvature_computation.py

Changelog

v9.0.0 (2026-03-12)

  • Promoted ComplexFrame as the public internal complex-frame object and removed U3Frame from the active top-level API.
  • Clarified that ComplexFrame is the internal CFUT layer only, not the complete spacetime-plus-gauge closure by itself.
  • Added ComplexFrameField for numerically computable observables:
    • metric tensor
    • Einstein tensor / conformal Einstein tensor proxy
    • Chern-Simons current proxy
    • CS-gradient tensor proxy
    • Christmas-equation left-side proxy
  • Updated examples and API tests to validate the new ComplexFrame interface.

v8.1.0 (2026-03-04)

  • Unified public physics interfaces into topological_physics.py.
  • Switched to application-level APIs for dynamic-stall, non-Newtonian flow, particle mass, and DM shell scans.
  • Removed low-level field-equation and raw coupling symbols from top-level public exports.

v8.0.0 (2026-03-04)

  • Added topological_physics module with public-safe CFUT formula interfaces.
  • Added shared-parameter mass/winding APIs (mass_from_winding_eV, winding_from_mass).
  • Added dynamic-stall and TME helper interfaces (nmax_dynamic_stall, tme_conductance).
  • Restricted top-level export surface to avoid exposing secret field-equation entry points.

v7.1.2 (2026-02-09)

  • Intrinsic curvature sampling reuse for numeric surfaces (13 position calls per point)
  • Documentation updates and benchmark clarity

v7.1.1 (2026-02-05)

  • Analytical curvature fast path (Sphere/Torus and surfaces with derivatives)
  • Caching for curvature calculators and last-call results
  • AVX2 / fast-math enabled in native build config

License

MIT License - Copyright (c) 2024-2026 Pan Guojun


Links

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

coordinate_system-9.0.0.tar.gz (92.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

coordinate_system-9.0.0-cp313-cp313-win_amd64.whl (240.6 kB view details)

Uploaded CPython 3.13Windows x86-64

File details

Details for the file coordinate_system-9.0.0.tar.gz.

File metadata

  • Download URL: coordinate_system-9.0.0.tar.gz
  • Upload date:
  • Size: 92.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for coordinate_system-9.0.0.tar.gz
Algorithm Hash digest
SHA256 ff7e8f73eedf4f9c971239d58aa94c59ccc497f50ac84cad6e5424f5d06fab93
MD5 3251da7cbdf7cd76423e6c6b27c346a6
BLAKE2b-256 10da6d624a4854075e58a1ad525e91de599ef48317a5e75a84ad5be65c148737

See more details on using hashes here.

File details

Details for the file coordinate_system-9.0.0-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for coordinate_system-9.0.0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 8c2b089cf07200dc14ef2584fc19d9333f69bcb40a977ed6e9ade2ff070f29c4
MD5 6e52018b48111d0479e82f5b921bb30a
BLAKE2b-256 60578917f5cbc3a2da5e2775a508b2b352b97aae9976955ed8c4efcd11157cf2

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page