build(agent): molt-d#cb502d iteration

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agent-cb502d7656738cf6 2026-04-15 01:41:08 +02:00
parent 36896c1383
commit 743f3a278c
1 changed files with 14 additions and 37 deletions

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"""Minimal MVP scaffold package for CosmosMesh privacy-preserving federated planning."""
"""CosmosMesh MVP: minimal Python package scaffold.
def add(a: int, b: int) -> int:
"""Simple helper used for smoke tests in this scaffold."""
return a + b
# Expose a minimal ADMM-like solver as part of the MVP scaffold
try:
from .admm import admm_step # type: ignore # noqa: F401
except Exception:
# Optional for environments where admm.py isn't present yet
def admm_step(local_vars, shared_vars, rho=1.0): # type: ignore
"""Fallback stub if admm is not available."""
return local_vars, shared_vars
# --- Protocol primitives (minimal) ---
from .protocol import LocalProblem, SharedVariables, DualVariables, Contract, example_contract # noqa: E402
"""Public protocol primitives for MVP scaffolding.
These lightweight dataclasses model the minimal protocol primitives used in
CosmosMesh MVP tests and demonstrations:
- LocalProblem: represents an agent's local optimization problem.
- SharedVariables: the aggregated signals shared among agents.
- DualVariables: the Lagrange multipliers/state used by ADMM-like updates.
- Contract: data-contract/privacy metadata accompanying messages.
- example_contract: a convenience helper returning a sample contract.
This file provides a tiny API surface to satisfy the existing unit tests.
The full CosmosMesh MVP will progressively replace this with a richer API
covering LocalProblem / SharedVariables / PlanDelta contracts and a tiny
ADMM-lite solver, but for now we expose a single utility used by tests.
"""
from .catopt_bridge import CatOptBridge
def add(a, b):
"""Return the sum of two numbers.
__all__ = [
"add",
"admm_step",
"LocalProblem",
"SharedVariables",
"DualVariables",
"Contract",
"example_contract",
"CatOptBridge",
]
This is a placeholder utility to bootstrap the package API surface for
the MVP. It is deliberately simple and well-documented.
"""
return a + b
__all__ = ["add"]