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High-performance 3D coordinate system library with unified differential geometry, quantum frame algebra, and Christmas Equation (CFUT)

Project description

Coordinate System Library

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

PyPI version Python License

Authors: Pan Guojun
Version: 7.1.2
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 U(3) frame utilities

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.

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)
  complex_geometric_physics.py   # Complex geometric physics module
  spectral_geometry.py           # FourierFrame, spectral analysis
  u3_frame.py                    # U3Frame, gauge field theory
  differential_geometry.py       # Surface curvature
  visualization.py               # 3D visualization
  curve_interpolation.py         # C2-continuous interpolation

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

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

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