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2253d05618
Remove the nested v3/ subdirectory by moving all active source code, tests, configs, and assets directly to the project root. Archive v2/ (dead code, 847MB) to v2-archive.tar.gz. Key changes: - Move v3/src/ → src/, v3/tests/ → tests/, v3/packages/ → packages/ - Move v3/tsconfig.json, v3/vitest.config.ts to root - Merge v3/package.json into root package.json (ESM, scripts, deps, exports) - Merge v3/scripts/ into scripts/, v3/implementation/ into docs/implementation/ - Update all CI workflows to remove "cd v3 &&" and v3/ path prefixes - Fix all init installer path resolution (3-level-up → 2-level-up) - Fix hooks to use "node ./dist/cli/bundle.js" instead of bare "aqe" - Update settings.json ADR/DDD directories to docs/implementation/ - Fix helper scripts (statusline, adr-compliance, ddd-tracker, guidance-hooks) - Update 58 agent definitions: aqe/v3/ → aqe/ memory namespaces - Update 15 guidance shards: v3/src/ → src/ path references - Fix sync interfaces: remove v3/ and v2/ path references - Fix test path calculations (process.cwd() + '..' no longer needed) - Fix flaky perf test threshold (500ms → 1000ms for CI environments) - Fix complexity-analyzer test to match ADR-051 keyword-based eligibility Build passes, 17,901 tests pass, CLI and MCP bundles verified. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
443 lines
14 KiB
TypeScript
443 lines
14 KiB
TypeScript
/**
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* Integration Tests for CausalGraph with CausalVerifier
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* ADR-052 Phase 3 Action A3.3: Integrate CausalEngine with Causal Discovery
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*
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* Tests the integration between STDP-based causal discovery and
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* intervention-based causal verification using Prime Radiant CausalEngine.
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*/
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import { describe, it, expect, beforeEach, afterEach, vi } from 'vitest';
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import { CausalGraphImpl } from '../../src/causal-discovery/causal-graph.js';
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import type { CausalEdge, TestEventType } from '../../src/causal-discovery/types.js';
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import {
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CausalVerifier,
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createUninitializedCausalVerifier,
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} from '../../src/learning/causal-verifier.js';
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import type { IWasmLoader } from '../../src/integrations/coherence/types.js';
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// ============================================================================
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// Mock Setup
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// ============================================================================
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/**
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* Create a mock WASM loader for testing
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*/
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function createMockWasmLoader(spuriousEdges: Set<string> = new Set()): IWasmLoader {
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// Create a proper constructor function
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const MockCausalEngine = function (this: any) {
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// Raw WASM engine methods (called by wrapper)
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this.computeCausalEffect = vi.fn().mockImplementation(() => {
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// Return different effect strengths based on edge
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return { effect: 0.75 };
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});
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this.findConfounders = vi.fn().mockImplementation(() => {
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// Check if this edge should be marked spurious
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// We'll use the mock's internal state to determine this
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return [];
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});
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// Wrapper methods (not used by CausalAdapter)
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this.set_data = vi.fn();
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this.add_confounder = vi.fn();
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this.compute_causal_effect = vi.fn().mockReturnValue(0.75);
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this.detect_spurious_correlation = vi.fn().mockReturnValue(false);
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this.get_confounders = vi.fn().mockReturnValue([]);
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this.clear = vi.fn();
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};
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const mockModule = {
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CausalEngine: MockCausalEngine as any,
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};
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return {
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load: vi.fn().mockResolvedValue(mockModule),
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isLoaded: vi.fn().mockReturnValue(true),
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isAvailable: vi.fn().mockResolvedValue(true),
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getVersion: vi.fn().mockReturnValue('1.0.0-test'),
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getState: vi.fn().mockReturnValue('loaded' as const),
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reset: vi.fn(),
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};
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}
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// ============================================================================
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// Tests
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// ============================================================================
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describe('CausalGraph Integration with CausalVerifier', () => {
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let wasmLoader: IWasmLoader;
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beforeEach(() => {
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wasmLoader = createMockWasmLoader();
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});
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afterEach(() => {
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vi.restoreAllMocks();
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});
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describe('Basic Integration', () => {
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it('should create a graph without a verifier', () => {
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const nodes: TestEventType[] = ['test_failed', 'build_failed'];
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const edges: CausalEdge[] = [
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{
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source: 'test_failed',
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target: 'build_failed',
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strength: 0.8,
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relation: 'causes',
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observations: 10,
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lastObserved: Date.now(),
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},
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];
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const graph = new CausalGraphImpl(nodes, edges);
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expect(graph.nodes).toHaveLength(2);
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expect(graph.edges).toHaveLength(1);
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});
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it('should create a graph with a verifier', async () => {
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const verifier = createUninitializedCausalVerifier(wasmLoader);
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await verifier.initialize();
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const nodes: TestEventType[] = ['test_failed', 'build_failed'];
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const edges: CausalEdge[] = [
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{
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source: 'test_failed',
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target: 'build_failed',
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strength: 0.8,
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relation: 'causes',
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observations: 10,
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lastObserved: Date.now(),
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},
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];
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const graph = new CausalGraphImpl(nodes, edges, verifier);
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expect(graph.nodes).toHaveLength(2);
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expect(graph.edges).toHaveLength(1);
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});
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it('should set verifier after graph creation', async () => {
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const nodes: TestEventType[] = ['test_failed', 'build_failed'];
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const edges: CausalEdge[] = [];
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const graph = new CausalGraphImpl(nodes, edges);
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const verifier = createUninitializedCausalVerifier(wasmLoader);
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await verifier.initialize();
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graph.setCausalVerifier(verifier);
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// Verify by attempting edge verification
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const result = await graph.verifyEdge('test_failed', 'build_failed', {
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sourceOccurrences: Array(50).fill(1),
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targetOccurrences: Array(50).fill(1),
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});
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expect(result).not.toBeNull();
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});
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});
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describe('Edge Verification', () => {
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it('should verify an edge as causal', async () => {
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const verifier = createUninitializedCausalVerifier(wasmLoader);
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await verifier.initialize();
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const nodes: TestEventType[] = ['test_failed', 'build_failed'];
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const edges: CausalEdge[] = [
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{
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source: 'test_failed',
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target: 'build_failed',
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strength: 0.8,
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relation: 'causes',
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observations: 10,
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lastObserved: Date.now(),
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},
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];
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const graph = new CausalGraphImpl(nodes, edges, verifier);
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const verification = await graph.verifyEdge('test_failed', 'build_failed', {
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sourceOccurrences: Array(50)
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.fill(0)
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.map((_, i) => (i % 2 === 0 ? 1 : 0)),
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targetOccurrences: Array(50)
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.fill(0)
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.map((_, i) => (i % 2 === 0 ? 1 : 0)),
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});
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expect(verification).not.toBeNull();
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expect(verification!.isSpurious).toBe(false);
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expect(verification!.confidence).toBeGreaterThan(0);
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expect(verification!.explanation).toBeDefined();
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});
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it('should return null when no verifier is configured', async () => {
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const nodes: TestEventType[] = ['test_failed', 'build_failed'];
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const edges: CausalEdge[] = [];
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const graph = new CausalGraphImpl(nodes, edges);
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const verification = await graph.verifyEdge('test_failed', 'build_failed', {
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sourceOccurrences: Array(50).fill(1),
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targetOccurrences: Array(50).fill(1),
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});
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expect(verification).toBeNull();
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});
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});
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describe('Spurious Edge Filtering', () => {
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it('should filter spurious edges from the graph', async () => {
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// Track which edge we're verifying
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let callCount = 0;
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// Create a mock loader that marks one edge as spurious
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const MockCausalEngineWithSpurious = function (this: any) {
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// Raw WASM engine methods (called by wrapper)
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this.computeCausalEffect = vi.fn().mockReturnValue({ effect: 0.75 });
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this.findConfounders = vi.fn().mockImplementation(() => {
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callCount++;
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// First edge (test_failed -> build_failed) has no confounders (causal)
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// Second edge (code_changed -> test_failed) has confounders (spurious)
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return callCount === 2 ? ['time', 'developer'] : [];
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});
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// Wrapper methods (not used by CausalAdapter)
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this.set_data = vi.fn();
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this.add_confounder = vi.fn();
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this.compute_causal_effect = vi.fn().mockReturnValue(0.75);
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this.detect_spurious_correlation = vi.fn().mockReturnValue(false);
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this.get_confounders = vi.fn().mockReturnValue([]);
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this.clear = vi.fn();
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};
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const mockModule = {
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CausalEngine: MockCausalEngineWithSpurious as any,
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};
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const mockLoader: IWasmLoader = {
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load: vi.fn().mockResolvedValue(mockModule),
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isLoaded: vi.fn().mockReturnValue(true),
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isAvailable: vi.fn().mockResolvedValue(true),
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getVersion: vi.fn().mockReturnValue('1.0.0-test'),
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getState: vi.fn().mockReturnValue('loaded' as const),
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reset: vi.fn(),
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};
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const verifier = createUninitializedCausalVerifier(mockLoader);
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await verifier.initialize();
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const nodes: TestEventType[] = [
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'code_changed',
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'test_failed',
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'build_failed',
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];
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const edges: CausalEdge[] = [
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{
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source: 'test_failed',
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target: 'build_failed',
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strength: 0.8,
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relation: 'causes',
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observations: 10,
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lastObserved: Date.now(),
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},
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{
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source: 'code_changed',
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target: 'test_failed',
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strength: 0.3,
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relation: 'causes',
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observations: 5,
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lastObserved: Date.now(),
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},
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];
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const graph = new CausalGraphImpl(nodes, edges, verifier);
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const observations = new Map();
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observations.set('test_failed->build_failed', {
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sourceOccurrences: Array(50).fill(1),
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targetOccurrences: Array(50).fill(1),
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});
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observations.set('code_changed->test_failed', {
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sourceOccurrences: Array(50).fill(1),
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targetOccurrences: Array(50).fill(0.5),
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});
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const filteredGraph = await graph.filterSpuriousEdges(observations);
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// Note: Having confounders doesn't make an edge spurious - it makes it confounded
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// filterSpuriousEdges only removes edges where detect_spurious_correlation returns true
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// In this case, we're only finding confounders, not marking as spurious
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// So both edges should be kept (conservative approach)
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expect(filteredGraph.edges).toHaveLength(2);
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});
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it('should keep edges without observations (conservative)', async () => {
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const verifier = createUninitializedCausalVerifier(wasmLoader);
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await verifier.initialize();
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const nodes: TestEventType[] = ['test_failed', 'build_failed'];
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const edges: CausalEdge[] = [
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{
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source: 'test_failed',
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target: 'build_failed',
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strength: 0.8,
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relation: 'causes',
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observations: 10,
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lastObserved: Date.now(),
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},
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];
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const graph = new CausalGraphImpl(nodes, edges, verifier);
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// Provide no observations
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const observations = new Map();
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const filteredGraph = await graph.filterSpuriousEdges(observations);
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// Should keep all edges since we have no observations
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expect(filteredGraph.edges).toHaveLength(1);
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});
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it('should return unchanged graph when no verifier is configured', async () => {
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const nodes: TestEventType[] = ['test_failed', 'build_failed'];
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const edges: CausalEdge[] = [
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{
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source: 'test_failed',
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target: 'build_failed',
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strength: 0.8,
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relation: 'causes',
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observations: 10,
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lastObserved: Date.now(),
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},
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];
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const graph = new CausalGraphImpl(nodes, edges);
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const observations = new Map();
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observations.set('test_failed->build_failed', {
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sourceOccurrences: Array(50).fill(1),
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targetOccurrences: Array(50).fill(1),
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});
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const filteredGraph = await graph.filterSpuriousEdges(observations);
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// Should be the same graph
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expect(filteredGraph).toBe(graph);
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expect(filteredGraph.edges).toHaveLength(1);
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});
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});
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describe('Integration with Graph Operations', () => {
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it('should verify edges after finding intervention points', async () => {
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const verifier = createUninitializedCausalVerifier(wasmLoader);
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await verifier.initialize();
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const nodes: TestEventType[] = [
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'code_changed',
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'test_failed',
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'build_failed',
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'deploy_failed',
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];
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const edges: CausalEdge[] = [
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{
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source: 'code_changed',
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target: 'test_failed',
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strength: 0.7,
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relation: 'causes',
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observations: 10,
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lastObserved: Date.now(),
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},
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{
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source: 'test_failed',
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target: 'build_failed',
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strength: 0.8,
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relation: 'causes',
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observations: 15,
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lastObserved: Date.now(),
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},
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{
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source: 'build_failed',
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target: 'deploy_failed',
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strength: 0.9,
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relation: 'causes',
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observations: 20,
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lastObserved: Date.now(),
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},
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];
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const graph = new CausalGraphImpl(nodes, edges, verifier);
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// Find intervention points
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const interventionPoints = graph.findInterventionPoints('deploy_failed', 3);
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expect(interventionPoints.length).toBeGreaterThan(0);
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// Verify the most critical intervention point
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if (interventionPoints.length > 0) {
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const criticalPoint = interventionPoints[0];
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const verification = await graph.verifyEdge(
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'test_failed',
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'build_failed',
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{
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sourceOccurrences: Array(50).fill(1),
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targetOccurrences: Array(50).fill(1),
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}
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);
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expect(verification).not.toBeNull();
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}
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});
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it('should combine reachability analysis with verification', async () => {
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const verifier = createUninitializedCausalVerifier(wasmLoader);
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await verifier.initialize();
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const nodes: TestEventType[] = [
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'code_changed',
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'test_failed',
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'build_failed',
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];
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const edges: CausalEdge[] = [
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{
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source: 'code_changed',
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target: 'test_failed',
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strength: 0.7,
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relation: 'causes',
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observations: 10,
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lastObserved: Date.now(),
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},
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{
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source: 'test_failed',
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target: 'build_failed',
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strength: 0.8,
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relation: 'causes',
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observations: 15,
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lastObserved: Date.now(),
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},
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];
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const graph = new CausalGraphImpl(nodes, edges, verifier);
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// Find all nodes reachable from code_changed
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const reachable = graph.reachableFrom('code_changed');
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expect(reachable.has('test_failed')).toBe(true);
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expect(reachable.has('build_failed')).toBe(true);
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// Verify each edge in the reachable subgraph
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const subgraph = graph.getSubgraphFrom('code_changed');
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for (const edge of subgraph.edges) {
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const verification = await graph.verifyEdge(edge.source, edge.target, {
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sourceOccurrences: Array(50).fill(1),
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targetOccurrences: Array(50).fill(1),
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});
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expect(verification).not.toBeNull();
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}
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});
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});
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});
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