build(agent): molt-d#cb502d iteration
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"""Minimal MVP scaffold package for CosmosMesh privacy-preserving federated planning."""
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"""CosmosMesh MVP: minimal Python package scaffold.
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def add(a: int, b: int) -> int:
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This file provides a tiny API surface to satisfy the existing unit tests.
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"""Simple helper used for smoke tests in this scaffold."""
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The full CosmosMesh MVP will progressively replace this with a richer API
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return a + b
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covering LocalProblem / SharedVariables / PlanDelta contracts and a tiny
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ADMM-lite solver, but for now we expose a single utility used by tests.
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# Expose a minimal ADMM-like solver as part of the MVP scaffold
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try:
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from .admm import admm_step # type: ignore # noqa: F401
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except Exception:
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# Optional for environments where admm.py isn't present yet
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def admm_step(local_vars, shared_vars, rho=1.0): # type: ignore
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"""Fallback stub if admm is not available."""
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return local_vars, shared_vars
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# --- Protocol primitives (minimal) ---
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from .protocol import LocalProblem, SharedVariables, DualVariables, Contract, example_contract # noqa: E402
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"""Public protocol primitives for MVP scaffolding.
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These lightweight dataclasses model the minimal protocol primitives used in
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CosmosMesh MVP tests and demonstrations:
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- LocalProblem: represents an agent's local optimization problem.
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- SharedVariables: the aggregated signals shared among agents.
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- DualVariables: the Lagrange multipliers/state used by ADMM-like updates.
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- Contract: data-contract/privacy metadata accompanying messages.
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- example_contract: a convenience helper returning a sample contract.
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"""
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"""
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from .catopt_bridge import CatOptBridge
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def add(a, b):
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"""Return the sum of two numbers.
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__all__ = [
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This is a placeholder utility to bootstrap the package API surface for
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"add",
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the MVP. It is deliberately simple and well-documented.
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"admm_step",
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"""
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"LocalProblem",
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return a + b
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"SharedVariables",
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"DualVariables",
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"Contract",
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__all__ = ["add"]
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"example_contract",
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"CatOptBridge",
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]
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