Minimal SDK for change algebra, trust graphs, and innovation geometry.
Project description
chronos
Chronos: Innovation Algebra & Trust SDK
A minimal, composable Python SDK for modeling change events, trust graphs, and innovation landscapes. Includes algebraic change sets, trust propagation, Riemannian geometry helpers, and a master equation integrator.
Features
- Change Algebra: Immutable, timestamped change events and sets with union/intersection/difference, composition, inversion, and state evolution.
- Trust Graphs: Weighted directed trust networks with path aggregation and logistic update law (requires
networkx). - Manifold Geometry: Minimal Riemannian metric/geodesic/curvature helpers (requires
numpy). - Navigator: Lightweight forward-Euler integrator for arbitrary vector fields.
Installation
With UV:
uv pip install chronos
Or with pip:
pip install chronos
Usage
Change Algebra
from chronos import ChangeEvent, ChangeSet, change_set
# Create events
c1 = ChangeEvent(timestamp=1.0, state_before=0, state_after=1)
c2 = ChangeEvent(timestamp=2.0, state_before=1, state_after=2)
# Create a set
cs = ChangeSet([c1, c2])
# Algebraic ops
cs2 = cs.inverse()
cs3 = cs.union(cs2)
Trust Graphs
from chronos import TrustGraph
T = TrustGraph()
T.set_trust('alice', 'bob', 0.8)
T.update_trust('alice', 'bob', delta=0.1)
trust = T.get_trust('alice', 'bob')
Manifold Geometry
from chronos import Metric, geodesic, curvature
import numpy as np
metric = Metric(lambda x: np.eye(len(x)))
path = geodesic(metric, np.array([0,0]), np.array([1,1]))
curv = curvature(metric, np.array([0,0]))
Navigator
from chronos import Navigator
import numpy as np
nav = Navigator(lambda x: -x)
traj = nav.integrate(np.array([1.0, 0.0]), steps=10)
Requirements
- Python 3.9+
networkx(for trust graphs)numpy(for manifold & navigator)
MIT License. See source for details.
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