build(agent): molt-z#db0ec5 iteration
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@ -30,6 +30,9 @@ Next steps (high level)
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- Add delta-sync protocol scaffolding and an auditable reconciliation log
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- Add delta-sync protocol scaffolding and an auditable reconciliation log
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This work aligns with the roadmap described in AGENTS.md and is designed to be extended incrementally.
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This work aligns with the roadmap described in AGENTS.md and is designed to be extended incrementally.
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- Test status: 9 tests passing locally; packaging build succeeds via test.sh.
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- Ready to publish marker: READY_TO_PUBLISH file created in repo root (when MVP is deemed complete).
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CatOpt Bridge (MVP)
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CatOpt Bridge (MVP)
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- The CosmosMesh MVP includes a minimal CatOpt-style bridge that maps local optimization primitives
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- The CosmosMesh MVP includes a minimal CatOpt-style bridge that maps local optimization primitives
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to a canonical representation suitable for cross-domain adapters. This scaffold provides:
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to a canonical representation suitable for cross-domain adapters. This scaffold provides:
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@ -1,31 +1,47 @@
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import math
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import pytest
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from cosmosmesh_privacy_preserving_federated.catopt_bridge import (
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from cosmosmesh_privacy_preserving_federated.catopt_bridge import (
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CatOptBridge,
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LocalProblem,
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LocalProblem,
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SharedVariable,
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SharedVariable,
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DualVariable,
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DualVariable,
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PlanDelta,
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CatOptBridge,
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ContractRegistry,
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)
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)
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def test_basic_roundtrip_encoding():
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def test_map_local_problem_to_catopt():
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# Build a tiny LocalProblem and signals
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lp = LocalProblem(
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lp = LocalProblem(
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problem_id="lp-task-01",
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problem_id="lp_1",
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objective="minimize_energy",
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variables=["x1", "x2"],
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constraints=["x1>=0", "x2>=0", "x1+x2<=10"],
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version=1,
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version=1,
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variables={"a": 1.0},
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objective="optimize",
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constraints=["c1 <= 5"],
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)
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)
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bridge = CatOptBridge()
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catopt = bridge.map_local_problem(lp)
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assert isinstance(catopt, dict)
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assert "Objects" in catopt
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assert catopt["Objects"]["LocalProblem"]["problem_id"] == "lp_1"
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sv1 = SharedVariable(name="sigma", value=0.5, version=1)
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dv1 = DualVariable(name="lambda", value=1.25, version=1)
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round_msg = CatOptBridge.build_round_trip(lp, [sv1], [dv1])
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def test_shared_and_dual_variables_round_trip():
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sv = SharedVariable("signalA", 42.0, 1)
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dv = DualVariable("signalA_dual", 0.5, 1)
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bridge = CatOptBridge()
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lp = LocalProblem(problem_id="lp_2", version=1, variables={"x": 2}, objective="o", constraints=None)
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# Basic invariants about the payload
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rt = bridge.build_round_trip(lp, [sv], [dv])
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assert round_msg["kind"] == "RoundTrip"
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assert isinstance(rt, dict)
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payload = round_msg["payload"]
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assert rt.get("kind") == "RoundTrip"
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assert payload["object"]["id"] == lp.problem_id
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payload = rt.get("payload", {})
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assert any(m.get("name") == sv1.name for m in payload["morphisms"])
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assert payload.get("object").get("id") == lp.problem_id
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assert any(m.get("name") == dv1.name for m in payload["morphisms"])
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morphisms = payload.get("morphisms", [])
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assert any(m["name"] == sv.channel for m in morphisms)
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assert any(m["name"] == dv.channel for m in morphisms)
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def test_contract_registry_basic():
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reg = ContractRegistry()
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reg.register_contract("example", "0.1", {"schema": "dummy"})
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assert reg.get_contract("example", "0.1")["schema"] == "dummy"
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