brackt/app/models/__tests__/participant-expected-value.test.ts

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import { describe, it, expect, vi, beforeEach } from "vitest";
import { calculateReplacementLevel, calculateVORP } from "~/services/ev-calculator";
import { syncVorpForSeason } from "../participant-expected-value";
const { mockUpdate, mockSet, mockDb, mockSqlFn } = vi.hoisted(() => {
const update = vi.fn();
const set = vi.fn();
const sqlFn = Object.assign(vi.fn(() => ({})), { join: vi.fn(() => ({})) });
const db = { update, select: vi.fn() };
return { mockUpdate: update, mockSet: set, mockDb: db, mockSqlFn: sqlFn };
});
vi.mock("~/database/context", () => ({
database: () => mockDb,
}));
vi.mock("~/database/schema", () => ({
Canonical tournament layer: schema + backfill (1/2) (#365) * refactor(schema): rename per-window tables to season_* prefix Renames participants, participant_expected_values, participant_qualifying_totals, participant_results, participant_surface_elos to season_* prefixed names. Renames event_results.participant_id to season_participant_id. Phase 1a of canonical tournament layer migration. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * refactor: rename participant.ts model file to season-participant.ts Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * refactor(models): update model layer to use renamed schema exports Updated all model files to use the renamed schema exports from Task 1: - participants → seasonParticipants - participantExpectedValues → seasonParticipantExpectedValues - participantQualifyingTotals → seasonParticipantQualifyingTotals - participantResults → seasonParticipantResults - participantSurfaceElos → seasonParticipantSurfaceElos - eventResults.participantId → eventResults.seasonParticipantId - db.query relation accessors updated - Relation field .participant → .seasonParticipant where applicable - Import paths updated: ./participant → ./season-participant Files updated (14 model files + 3 test files): - draft-pick.ts - draft-utils.ts - event-result.ts - group-stage-match.ts - participant-result.ts - qualifying-points.ts - scoring-calculator.ts - scoring-event.ts - sports-season.ts - surface-elo.ts - team-score-events.ts - cs2-major-stage.ts - golf-skills.ts - participant-expected-value.ts - __tests__/sports-season.clone.test.ts - __tests__/auto-pick.test.ts - __tests__/executeAutoPick.timer.test.ts Typecheck errors decreased: 779 → 499 (280 fewer) All model file errors related to renamed schemas resolved. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * refactor(routes): update route layer to use renamed schema exports - Update model import from ~/models/participant to ~/models/season-participant - Rename schema.participants to schema.seasonParticipants - Rename schema.participantResults to schema.seasonParticipantResults - Rename db.query.participants to db.query.seasonParticipants - Update 9 route files and 1 test file Affected files: - admin.sports-seasons.$id.events.$eventId.bracket.server.ts - admin.sports-seasons.$id.participants.tsx - api/draft.force-manual-pick.ts - api/draft.make-pick.ts - api/draft.replace-pick.ts - api/seasons.$seasonId.draft.ts - leagues/$leagueId.draft-board.$seasonId.tsx - leagues/$leagueId.sports-seasons.$sportsSeasonId.server.ts - admin/__tests__/sports-seasons-participants.test.ts Error count reduced from 499 to 453 (46 errors fixed). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * refactor(routes): update route files for schema rename Update route imports from ~/models/participant to ~/models/season-participant and fix references to .participant/.participantId on event results to use .seasonParticipant/.seasonParticipantId after schema rename. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * refactor(services): update simulators and services for renamed schema Update all simulators, services, and server files to use renamed schema tables: - participants → seasonParticipants - participantExpectedValues → seasonParticipantExpectedValues - participantResults → seasonParticipantResults - eventResults.participantId → eventResults.seasonParticipantId Files updated: - 20 sport simulators (NBA, NHL, NFL, MLB, etc.) - probability-updater.ts - standings-sync/index.ts - sports-data-sync.server.ts - server/socket.ts Typecheck errors reduced from 365 to 0. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * migration: rename per-window tables to season_* prefix * fix(tests): update mock query keys after participants table rename Change mock db.query.participants to db.query.seasonParticipants in test files to match the schema rename from commit 66145a9. This fixes "Cannot read properties of undefined (reading 'findFirst'/'findMany')" errors that occurred when production code queries db.query.seasonParticipants but test mocks only defined the old participants key. Files updated: - app/services/simulations/__tests__/world-cup-simulator.test.ts - app/routes/api/__tests__/draft.force-manual-pick.test.ts - app/routes/api/__tests__/draft.force-manual-pick.timer-mode.test.ts - app/routes/api/__tests__/draft.make-pick.timer-mode.test.ts - server/__tests__/timer-autodraft.test.ts - app/models/__tests__/team-score-events.test.ts Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * fix(tests): update remaining mock paths and keys after schema rename * fix(tests): final two mock stragglers after schema rename - draft-pick.test.ts: assertion on db.query.participantQualifyingTotals - process-match-result.test.ts: mock key participants → seasonParticipants Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * chore: add post-phase1a baseline capture (temp, for diff verification) * chore: capture pre-migration baselines * chore: remove post-phase1a capture helper after verification * schema: add canonical tournament & participant tables Adds tournaments, participants (canonical), tournament_results, and participant_surface_elos (canonical). Adds nullable tournament_id to scoring_events and nullable participant_id to season_participants. Phase 1b of canonical tournament layer migration. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat(models): add canonical tournament, participant, result, surface-elo models Adds CRUD modules for the canonical tables created in commit 775b905. Each module mirrors existing app/models conventions (database() from ~/database/context, schema from ~/database/schema, mock-based tests). Key implementation notes: - participant.ts exports use "Canonical" prefix (CanonicalParticipant, createCanonicalParticipant, etc.) to avoid collision with existing season-participant.ts exports - All four models include comprehensive unit tests following the audit-log.test.ts pattern - Tests use mocked db responses (no real database access) - Upsert functions use onConflictDoUpdate for appropriate unique constraints Part of Phase 1b of canonical tournament layer migration. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * migration: create canonical tables, add nullable FKs * scripts: add extractTournamentIdentity helper for backfill Pure function that derives canonical (name, year) identity from a scoring_events row, stripping trailing 4-digit years from the name or falling back to eventDate. Used by the Phase 2 backfill to group per-window events into canonical tournaments. * scripts: add backfill orchestrator for canonical layer Populates canonical tournaments, participants, tournament_results, and participant_surface_elos from per-window data for qualifying-points sports. Skips already-linked rows, is idempotent, and supports dry-run mode. Critical invariants enforced by the implementation: - qualifying_points_awarded is never copied to tournament_results - season_participant_qualifying_totals is never touched - conflicting surface-Elo values between windows raise a loud error (recorded in report.errors) rather than overwriting * scripts: add backfill CLI with dry-run default Wires backfill-canonical-layer.ts to a CLI entry point exposed as `npm run backfill:canonical`. Defaults to --dry-run; requires --apply to actually write. Supports --sport=<uuid> to limit to a single sport. Exits 2 if the backfill reports errors (e.g., surface-Elo conflicts). * fix(backfill-cli): wrap runBackfill in DatabaseContext.run The orchestrator uses database() from ~/database/context, which requires AsyncLocalStorage to be populated. Wrap the CLI invocation with DatabaseContext.run(db, ...) using server/db's cached connection pool. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * fix(backfill-cli): exit 0 on success so pg pool doesn't block The cached postgres connection pool keeps the Node event loop open after main() returns. Explicit process.exit(0) on success mirrors the pattern in scripts/capture-baseline.ts. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> --------- Co-authored-by: Chris Parsons <chrisp@extrahop.com> Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
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seasonParticipants: { id: "id" },
seasonParticipantExpectedValues: {
participantId: "participantId",
sportsSeasonId: "sportsSeasonId",
},
}));
vi.mock("drizzle-orm", () => ({
eq: vi.fn((field, value) => ({ field, value })),
and: vi.fn((...args) => ({ and: args })),
count: vi.fn(() => ({ count: true })),
sql: mockSqlFn,
}));
describe("syncVorpForSeason", () => {
beforeEach(() => {
vi.clearAllMocks();
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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});
it("calculates correct VORP values for 14 participants with EVs 100 down to 35 (step 5)", () => {
// 14 participants: EVs = 100, 95, 90, 85, 80, 75, 70, 65, 60, 55, 50, 45, 40, 35
// replacement level = avg of positions 12-14 (0-indexed 11-13) = avg(45, 40, 35) = 40
const evValues = Array.from({ length: 14 }, (_, i) => 100 - i * 5);
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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const replacementLevel = calculateReplacementLevel(evValues);
expect(replacementLevel).toBe(40);
expect(calculateVORP(100, replacementLevel)).toBe(60);
expect(calculateVORP(35, replacementLevel)).toBe(-5);
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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});
it("returns early when no EVs exist for the season", async () => {
const mockSelectChain = {
from: vi.fn().mockReturnThis(),
where: vi.fn().mockResolvedValue([]),
};
mockDb.select = vi.fn().mockReturnValue(mockSelectChain);
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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await syncVorpForSeason("season-empty");
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
expect(mockUpdate).not.toHaveBeenCalled();
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 22:19:46 -08:00
});
it("calls db.update with correct vorpValue for each participant", async () => {
// 3 participants: EVs 100, 70, 40
// replacement level = avg of positions 12-14, clamped to [40] → 40
// VORP: 100→60, 70→30, 40→0
const mockEvRecords = [
{ participantId: "p1", expectedValue: "100", sportsSeasonId: "season-1" },
{ participantId: "p2", expectedValue: "70", sportsSeasonId: "season-1" },
{ participantId: "p3", expectedValue: "40", sportsSeasonId: "season-1" },
];
const mockSelectChain = {
from: vi.fn().mockReturnThis(),
where: vi.fn().mockResolvedValue(mockEvRecords),
};
mockDb.select = vi.fn().mockReturnValue(mockSelectChain);
const mockWhereResolved = vi.fn().mockResolvedValue([]);
mockSet.mockReturnValue({ where: mockWhereResolved });
mockUpdate.mockReturnValue({ set: mockSet });
await syncVorpForSeason("season-1");
expect(mockUpdate).toHaveBeenCalledTimes(1);
expect(mockSet).toHaveBeenCalledTimes(1);
const setArg = mockSet.mock.calls[0][0];
expect(setArg).toHaveProperty("vorpValue");
expect(setArg).toHaveProperty("updatedAt");
});
feat: implement Expected Value System with ICM probability calculator Implements Phase 5.2 of the EV system with Harville-Malmuth Independent Chip Model for calculating participant placement probabilities from futures odds. ## Key Features ### ICM Probability Calculator - Implements Harville-Malmuth method for distributing probabilities - Converts American odds to championship probabilities - Generates P(1st) through P(8th) for all participants - Column-normalized: each placement sums to 100% across all teams - Works with any number of participants (not limited to 8) ### Admin UI - Futures Odds Entry - Enter American odds (e.g., +550, -200) for championship futures - Live preview of ICM-calculated probability distributions - Displays all 8 placement probabilities - Persists odds for editing on subsequent visits - Automatic probability normalization (removes bookmaker vig) ### Database Schema Updates - Renamed participant_expected_values.season_id → sports_season_id - Updated foreign key to reference sports_seasons instead of seasons - Added source_odds field to store original futures odds - Migration 0025: Column rename and FK update - Migration 0026: Add source_odds field ### Model Layer - participant-expected-value: CRUD operations for probability distributions - Supports multiple probability sources (manual, futures_odds, elo_simulation) - Automatic EV calculation based on league scoring rules - Probability validation and normalization ### Service Layer - icm-calculator: Harville-Malmuth probability distribution - probability-engine: Odds conversion and Elo utilities (for future use) - bracket-simulator: Monte Carlo simulation (for future hybrid approach) - ev-calculator: Expected value computation from probabilities ## Technical Details - Uses exponential decay favoring top positions for strong teams - Preserves championship probability ordering in final distributions - Row sums vary (strong teams ~100%, weak teams lower) - All probabilities between 0-1, mathematically valid - Comprehensive test suite: 97 tests passing ## Future Enhancements - Hybrid approach: ICM pre-playoffs, bracket simulation during playoffs - Integration with league-specific scoring rules - Historical probability tracking for accuracy analysis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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});