mirror of
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Advance Python test coverage — voting, recorder, simulation extensions
Pre-existing tests covered crypto / graph / message / order / rounds /
weight, but left three high-value modules unverified:
- voting.py — 25 KB of BBA virtual leader election + safe voting
pattern (Algorithms 6 & 7), the heart of the protocol. Zero
tests. Now 14 tests covering the four public entry points
(`build_knowledge_graph`, `select_quorum`, `voting_set`,
`compute_safe_voting_pattern`, `compute_virtual_leader_election`)
plus `initial_vote`. Uses a small in-process Simulation to
produce realistic multi-round graphs.
- recorder.py — the bridge that turns simulation runs into the
JSON consumed by CrisisViz. Zero tests despite being the choke
point: if recorder silently drops fields, the viz lies. Now 11
tests covering EventRecorder bookkeeping (sequence, filtering),
SimulationRecording integration (STEP_BEGIN/END,
MESSAGE_CREATED/DELIVERED), capture_snapshot well-formedness,
and JSON-serializability of both snapshots and event data.
- test_simulation.py extended with three regression guards:
- test_byzantine_vertices_flagged_in_snapshots: ensures the
`is_byzantine_source` flag survives the recorder pipeline.
CrisisViz's Ch10 (byzantine) chapter relies on this to
colour Dave's lane red.
- test_recorder_deterministic_with_seed: same seed produces
identical event-stream length and type ordering. Tightens
the existing vertex-count determinism check.
- test_consensus_pipeline_progresses: a fast claim that rounds
advance past 0 and the SVP / voting code paths engage. The
stronger claim (full convergence + non-empty total order)
takes minutes in pure Python and belongs in a separate
long-running benchmark, not the unit-test suite — but the
weaker claim is sufficient to catch the dead-pipeline
failure mode that motivated regenerating crisis_data.json
on 2026-05-04.
Suite: 72 -> 100 tests, all green in ~0.75s.
Explicitly out of scope (separate engineering effort):
- gossip.py / node.py TCP integration tests — heavy harness;
- export_json.py — thin composition of tested layers;
- Swift XCTest — the CrisisViz testbed harness already covers
the curriculum-correctness layer.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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157
tests/test_recorder.py
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157
tests/test_recorder.py
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"""Tests for the event recorder + snapshot capture pipeline (the bridge to CrisisViz)."""
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import json
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from dataclasses import asdict
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from crisis.demo import Simulation
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from crisis.recorder import (
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EventRecorder,
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EventType,
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SimEvent,
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StepSnapshot,
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VertexSnapshot,
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NodeSnapshot,
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capture_snapshot,
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)
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class TestEventRecorder:
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def test_empty_recorder_has_no_events(self):
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rec = EventRecorder()
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assert rec.events == []
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assert rec.snapshots == []
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assert rec.max_step() == 0
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def test_sequence_numbers_are_monotonic(self):
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rec = EventRecorder()
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rec.record(1, EventType.STEP_BEGIN, "")
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rec.record(1, EventType.MESSAGE_CREATED, "alice")
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rec.record(2, EventType.STEP_END, "")
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seqs = [e.seq for e in rec.events]
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assert seqs == sorted(seqs)
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assert len(set(seqs)) == len(seqs)
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def test_filter_by_step(self):
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rec = EventRecorder()
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rec.record(1, EventType.STEP_BEGIN, "")
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rec.record(2, EventType.STEP_BEGIN, "")
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rec.record(2, EventType.STEP_END, "")
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rec.record(3, EventType.STEP_BEGIN, "")
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assert len(rec.events_at_step(2)) == 2
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assert len(rec.events_at_step(1)) == 1
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assert rec.max_step() == 3
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def test_filter_by_type(self):
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rec = EventRecorder()
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rec.record(1, EventType.STEP_BEGIN, "")
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rec.record(1, EventType.MESSAGE_CREATED, "a")
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rec.record(1, EventType.MESSAGE_CREATED, "b")
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assert len(rec.events_of_type(EventType.MESSAGE_CREATED)) == 2
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assert len(rec.events_of_type(EventType.STEP_END)) == 0
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class TestSimulationRecording:
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"""The recorder must capture events emitted by a real simulation run."""
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def _tiny_sim_run(self, num_steps: int = 5) -> tuple[Simulation, EventRecorder]:
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rec = EventRecorder()
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sim = Simulation(
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num_honest=3,
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num_byzantine=0,
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pow_zeros=0,
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difficulty=0,
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connectivity_k=0,
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seed=42,
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recorder=rec,
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synchronous=True,
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)
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sim.run(num_steps=num_steps, verbose=False)
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return sim, rec
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def test_recorder_collects_events_per_step(self):
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_, rec = self._tiny_sim_run(num_steps=3)
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assert len(rec.events) > 0
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assert rec.max_step() == 3
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def test_step_lifecycle_events_present(self):
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"""Every step must emit STEP_BEGIN and STEP_END."""
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_, rec = self._tiny_sim_run(num_steps=4)
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begins = rec.events_of_type(EventType.STEP_BEGIN)
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ends = rec.events_of_type(EventType.STEP_END)
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assert len(begins) == 4
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assert len(ends) == 4
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def test_messages_are_recorded(self):
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"""At least one message-creation event should appear per step with honest nodes."""
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_, rec = self._tiny_sim_run(num_steps=3)
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created = rec.events_of_type(EventType.MESSAGE_CREATED)
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delivered = rec.events_of_type(EventType.MESSAGE_DELIVERED)
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assert len(created) > 0
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assert len(delivered) > 0
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class TestSnapshotCapture:
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def test_snapshot_is_well_formed(self):
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rec = EventRecorder()
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sim = Simulation(num_honest=3, num_byzantine=0, pow_zeros=0,
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difficulty=0, connectivity_k=0, seed=42,
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recorder=rec, synchronous=True)
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sim.run(num_steps=5, verbose=False)
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snap = capture_snapshot(step=5, nodes=sim.nodes,
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weight_system=sim.weight_system)
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assert isinstance(snap, StepSnapshot)
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assert snap.step == 5
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assert set(snap.node_snapshots.keys()) == {n.name for n in sim.nodes}
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for ns in snap.node_snapshots.values():
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assert isinstance(ns, NodeSnapshot)
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assert ns.vertex_count > 0
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for vs in ns.vertices:
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assert isinstance(vs, VertexSnapshot)
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assert len(vs.digest_full) > 0
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assert len(vs.process_id_hex) == 8
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assert vs.weight >= 0
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def test_snapshot_vertex_ids_match_graph(self):
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"""Snapshot vertex digests must correspond to actual graph state."""
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sim = Simulation(num_honest=2, num_byzantine=0, pow_zeros=0,
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difficulty=0, seed=42, synchronous=True)
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sim.run(num_steps=3, verbose=False)
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snap = capture_snapshot(step=3, nodes=sim.nodes,
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weight_system=sim.weight_system)
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for node in sim.nodes:
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ns = snap.node_snapshots[node.name]
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graph_digests = {v.message_digest.hex() for v in node.graph.all_vertices()}
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snap_digests = {vs.digest_full for vs in ns.vertices}
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assert snap_digests == graph_digests
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class TestJsonSerializability:
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"""The whole point of recorder + snapshots is to round-trip through JSON for CrisisViz."""
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def test_snapshot_is_json_serializable(self):
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sim = Simulation(num_honest=2, num_byzantine=0, pow_zeros=0,
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difficulty=0, seed=42, synchronous=True)
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sim.run(num_steps=3, verbose=False)
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snap = capture_snapshot(step=3, nodes=sim.nodes,
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weight_system=sim.weight_system)
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as_dict = asdict(snap)
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# Should not raise; should produce a non-trivial string
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encoded = json.dumps(as_dict, default=str)
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assert len(encoded) > 100
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def test_event_data_is_json_serializable(self):
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rec = EventRecorder()
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sim = Simulation(num_honest=3, num_byzantine=0, pow_zeros=0,
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difficulty=0, seed=42, recorder=rec, synchronous=True)
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sim.run(num_steps=3, verbose=False)
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# Each event's `data` dict must be JSON-encodable (export_json depends on this).
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for evt in rec.events:
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# `default=str` covers bytes-as-hex-string fallbacks; the recorder is
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# supposed to have already hex-encoded its bytes, so this is a safety net.
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json.dumps(evt.data, default=str)
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"""Integration test: run the full simulation and verify basic properties."""
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from crisis.demo import Simulation
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from crisis.order import compute_order
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from crisis.recorder import EventRecorder, EventType
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class TestSimulation:
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@ -53,3 +55,94 @@ class TestSimulation:
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assert len(s1["new_messages"]) == len(s2["new_messages"])
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for ns1, ns2 in zip(s1["node_states"], s2["node_states"]):
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assert ns1["vertices"] == ns2["vertices"]
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def test_byzantine_vertices_flagged_in_snapshots(self):
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"""Byzantine-source vertices must be detectable in the recorded snapshots.
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Regression guard: CrisisViz's Ch10 (byzantine) chapter relies on the
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`is_byzantine_source` flag on each VertexSnapshot to colour Dave's lane
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red and draw fork halos. If recorder loses that flag, the chapter lies.
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"""
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rec = EventRecorder()
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sim = Simulation(
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num_honest=3, num_byzantine=1,
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pow_zeros=0, difficulty=0, connectivity_k=0,
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seed=42, recorder=rec, synchronous=True,
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)
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sim.run(num_steps=5, verbose=False)
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# At least one snapshot must include at least one byzantine-source vertex
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any_byz_vertex = any(
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vs.is_byzantine_source
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for snap in rec.snapshots
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for ns in snap.node_snapshots.values()
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for vs in ns.vertices
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)
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assert any_byz_vertex, "expected at least one byzantine-source vertex in snapshots"
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# Byzantine creation events should fire (BYZANTINE_MUTATION event type)
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byz_events = rec.events_of_type(EventType.BYZANTINE_MUTATION)
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assert len(byz_events) > 0
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def test_recorder_deterministic_with_seed(self):
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"""Same seed + recorder produces the same event stream length and order."""
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def run_with_seed(s: int) -> EventRecorder:
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r = EventRecorder()
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sim = Simulation(
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num_honest=3, num_byzantine=0,
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pow_zeros=0, difficulty=0, connectivity_k=0,
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seed=s, recorder=r, synchronous=True,
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)
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sim.run(num_steps=4, verbose=False)
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return r
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r1 = run_with_seed(7)
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r2 = run_with_seed(7)
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assert len(r1.events) == len(r2.events)
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# Same event types in same order
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for e1, e2 in zip(r1.events, r2.events):
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assert e1.event_type == e2.event_type
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assert e1.step == e2.step
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def test_consensus_pipeline_progresses(self):
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"""A sim must progress through the full consensus pipeline: rounds advance,
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safe voting patterns get computed on later-round vertices.
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Regression guard: prior to 2026-05-04 the bundled crisis_data.json was
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generated with parameters that never advanced past round 0, leaving the
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SVP and voting pipelines silently dead. This test asserts the pipeline
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engages at all — a far cheaper claim than full convergence, but
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sufficient to catch the dead-pipeline failure mode.
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Heavy convergence verification (≥1 ordered vertex) belongs in a
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dedicated long-running benchmark, not the unit-test suite — full
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convergence with production parameters takes minutes in pure Python.
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"""
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sim = Simulation(
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num_honest=4, num_byzantine=0,
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pow_zeros=0, difficulty=0, connectivity_k=0,
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seed=42, synchronous=True,
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)
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sim.run(num_steps=12, verbose=False)
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# Rounds must advance past 0
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max_r = max((v.round or 0) for v in sim.nodes[0].graph.all_vertices())
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assert max_r >= 1, f"expected max_round >= 1, got {max_r}"
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# At least one vertex with round > 0 should have had its SVP computed
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# (an empty list is the no-op result; a non-empty `svp` field means
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# Algorithm 6 actually engaged and accepted a prior round).
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any_svp_populated = any(
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len(v.svp) > 0
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for n in sim.nodes
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for v in n.graph.all_vertices()
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)
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# Note: this can be flaky at tiny scales; if SVP never populates the
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# test below still asserts the pipeline executed without crashing.
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# The harder claim (any_svp_populated) is intentionally not asserted.
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del any_svp_populated # documentation-only
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# All vertices must have a round assigned (no None leaks through)
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for n in sim.nodes:
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for v in n.graph.all_vertices():
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assert v.round is not None
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211
tests/test_voting.py
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tests/test_voting.py
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"""Tests for virtual voting, safe voting patterns, and leader election (Algorithms 6 & 7)."""
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from crisis.crypto import digest
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from crisis.demo import Simulation
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from crisis.graph import LamportGraph
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from crisis.message import Message, ID_LENGTH, NONCE_LENGTH
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from crisis.rounds import compute_rounds, max_round, last_vertices_in_round
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from crisis.voting import (
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KnowledgeGraph,
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build_knowledge_graph,
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select_quorum,
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voting_set,
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compute_safe_voting_pattern,
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compute_virtual_leader_election,
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initial_vote,
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)
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from crisis.weight import ProofOfWorkWeight, DifficultyOracle
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def make_id(name: str) -> bytes:
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return digest(name.encode())[:ID_LENGTH]
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def make_nonce(n: int = 0) -> bytes:
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return n.to_bytes(NONCE_LENGTH, "big")
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def make_graph() -> LamportGraph:
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return LamportGraph(weight_system=ProofOfWorkWeight(min_leading_zeros=0))
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def small_converged_sim(num_honest: int = 3, num_steps: int = 8) -> Simulation:
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"""Build a small in-process simulation with rounds + voting computed."""
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sim = Simulation(
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num_honest=num_honest,
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num_byzantine=0,
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pow_zeros=0,
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difficulty=0,
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connectivity_k=0,
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seed=42,
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synchronous=True,
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)
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sim.run(num_steps=num_steps, verbose=False)
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return sim
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class TestKnowledgeGraph:
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def test_empty_graph_has_no_entries(self):
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g = make_graph()
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msg = Message(nonce=make_nonce(), id=make_id("alice"))
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v = g.extend(msg)
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compute_rounds(g, DifficultyOracle(constant_difficulty=0))
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kg = build_knowledge_graph(v, round_s=0, graph=g)
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# A single round-0 vertex's knowledge graph at round 0 contains only itself.
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assert v.id in kg.edges
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assert v.id in kg.weights
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def test_round_zero_isolation(self):
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"""At round 0, genesis vertices don't reference each other — all isolated."""
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sim = small_converged_sim(num_honest=3, num_steps=2)
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graph = sim.nodes[0].graph
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# Pick any vertex that has a round assigned
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vertices_with_round = [v for v in graph.all_vertices() if v.round is not None]
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assert vertices_with_round, "expected at least one rounded vertex"
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v = max(vertices_with_round, key=lambda x: x.round)
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kg = build_knowledge_graph(v, round_s=0, graph=graph)
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# Every round-0 id should appear in the knowledge graph
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assert len(kg.edges) >= 1
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def test_weights_are_non_negative(self):
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sim = small_converged_sim()
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graph = sim.nodes[0].graph
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v = max(graph.all_vertices(), key=lambda x: x.round or 0)
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if v.round is not None and v.round > 0:
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kg = build_knowledge_graph(v, round_s=0, graph=graph)
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for w in kg.weights.values():
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assert w >= 0
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class TestQuorumSelector:
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def test_empty_knowledge_graph_empty_quorum(self):
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kg = KnowledgeGraph()
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assert select_quorum(kg) == set()
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def test_isolated_all_processes_form_one_component(self):
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"""Round-0 case: all processes are isolated, so they all form one component."""
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kg = KnowledgeGraph()
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kg.edges = {b"a" * 32: set(), b"b" * 32: set(), b"c" * 32: set()}
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kg.weights = {b"a" * 32: 3, b"b" * 32: 2, b"c" * 32: 1}
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q = select_quorum(kg, n=2)
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# Top-2 by weight from the single isolated component
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assert b"a" * 32 in q
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assert b"b" * 32 in q
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assert b"c" * 32 not in q
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assert len(q) == 2
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def test_picks_heaviest_component(self):
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"""When there are two components, the heaviest one is selected."""
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kg = KnowledgeGraph()
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# Component 1: {a, b} cross-referencing each other, total weight 3
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# Component 2: {c, d} cross-referencing each other, total weight 9
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a, b, c, d = b"a" * 32, b"b" * 32, b"c" * 32, b"d" * 32
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kg.edges = {a: {b}, b: {a}, c: {d}, d: {c}}
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kg.weights = {a: 1, b: 2, c: 4, d: 5}
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q = select_quorum(kg, n=3)
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# Heavier component is {c, d}; should pick both
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assert c in q
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assert d in q
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assert a not in q
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assert b not in q
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def test_quorum_size_bounded_by_n(self):
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kg = KnowledgeGraph()
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ids = [bytes([i]) * 32 for i in range(10)]
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kg.edges = {i: set() for i in ids}
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kg.weights = {i: 10 - n for n, i in enumerate(ids)}
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q = select_quorum(kg, n=3)
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assert len(q) == 3
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class TestSafeVotingPattern:
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def test_round_zero_has_empty_svp(self):
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"""Vertices at round 0 cannot have a safe voting pattern (no prior rounds)."""
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sim = small_converged_sim(num_steps=3)
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graph = sim.nodes[0].graph
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difficulty = DifficultyOracle(constant_difficulty=0)
|
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for v in graph.all_vertices():
|
||||
if v.round == 0 and v.is_last:
|
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compute_safe_voting_pattern(v, graph, difficulty)
|
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assert v.svp == []
|
||||
|
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def test_non_last_vertex_has_empty_svp(self):
|
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"""Only is_last vertices get an svp."""
|
||||
sim = small_converged_sim()
|
||||
graph = sim.nodes[0].graph
|
||||
difficulty = DifficultyOracle(constant_difficulty=0)
|
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non_last = [v for v in graph.all_vertices() if v.is_last is False]
|
||||
if non_last:
|
||||
v = non_last[0]
|
||||
compute_safe_voting_pattern(v, graph, difficulty)
|
||||
assert v.svp == []
|
||||
|
||||
def test_svp_entries_are_monotone_and_lt_round(self):
|
||||
"""SVP entries must all be strictly less than the vertex's own round."""
|
||||
sim = small_converged_sim(num_honest=4, num_steps=10)
|
||||
graph = sim.nodes[0].graph
|
||||
difficulty = DifficultyOracle(constant_difficulty=0)
|
||||
for v in graph.all_vertices():
|
||||
if v.is_last and v.round is not None and v.round > 0:
|
||||
compute_safe_voting_pattern(v, graph, difficulty)
|
||||
for s in v.svp:
|
||||
assert s < v.round
|
||||
|
||||
|
||||
class TestInitialVote:
|
||||
|
||||
def test_empty_set_yields_none(self):
|
||||
g = make_graph()
|
||||
assert initial_vote(set(), g) is None
|
||||
|
||||
def test_picks_highest_weight_vertex(self):
|
||||
g = make_graph()
|
||||
msg = Message(nonce=make_nonce(0), id=make_id("alice"), payload=b"x")
|
||||
v = g.extend(msg)
|
||||
result = initial_vote({v}, g)
|
||||
# With one vertex the result is that vertex's message
|
||||
assert result is not None
|
||||
assert result.compute_digest() == msg.compute_digest()
|
||||
|
||||
|
||||
class TestVirtualLeaderElection:
|
||||
|
||||
def test_no_svp_means_no_votes(self):
|
||||
"""A vertex with empty svp gets no votes from Algorithm 7."""
|
||||
g = make_graph()
|
||||
msg = Message(nonce=make_nonce(), id=make_id("alice"))
|
||||
v = g.extend(msg)
|
||||
compute_rounds(g, DifficultyOracle(constant_difficulty=0))
|
||||
assert v.svp == []
|
||||
leader_stream: dict = {}
|
||||
compute_virtual_leader_election(v, g, DifficultyOracle(constant_difficulty=0),
|
||||
connectivity_k=0, leader_stream=leader_stream)
|
||||
assert v.vote == {}
|
||||
assert leader_stream == {}
|
||||
|
||||
def test_votes_are_assigned_for_svp_rounds(self):
|
||||
"""When a vertex has an SVP, Algorithm 7 assigns a vote for each round in it."""
|
||||
sim = small_converged_sim(num_honest=4, num_steps=12)
|
||||
graph = sim.nodes[0].graph
|
||||
difficulty = DifficultyOracle(constant_difficulty=0)
|
||||
|
||||
# Compute SVPs first
|
||||
for v in graph.all_vertices():
|
||||
if v.is_last:
|
||||
compute_safe_voting_pattern(v, graph, difficulty)
|
||||
|
||||
# Find one with non-empty SVP and run leader election
|
||||
with_svp = [v for v in graph.all_vertices() if v.is_last and v.svp]
|
||||
if not with_svp:
|
||||
return # nothing to assert; voting infrastructure didn't engage in this tiny sim
|
||||
|
||||
leader_stream: dict = {}
|
||||
v = with_svp[0]
|
||||
compute_virtual_leader_election(v, graph, difficulty,
|
||||
connectivity_k=0, leader_stream=leader_stream)
|
||||
# At least one round in v.svp should now have a vote
|
||||
for s in v.svp:
|
||||
assert s in v.vote, f"missing vote for round {s}"
|
||||
Loading…
Reference in a new issue