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solderzzcAegis-AI
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fix(moe): prevent crash when persistent buffer slots are exhausted (#37)
* fix(moe): prevent crash when persistent buffer slots are exhausted When all buffer slots are claimed by speculative-hit routing (ranges.count == maxBuffers and all experts get different slot assignments), the force-unwrap on '.first { !usedSlots.contains($0) }!' returns nil and crashes with _assertionFailure. Replace the force-unwrap with a guard that sets a slotExhausted flag and breaks out. When detected, the hit/miss arrays are cleared and we fall through to the existing full-pread fallback path — same correctness, no crash. Fixes SharpAI/SwiftLM#87 * test: add SlotExhaustionTests reproducing Issue ml-explore#87 crash scenario 6 unit tests exercising the pure-CPU slot resolution algorithm: - testOldAlgorithmCrashesOnSlotExhaustion: documents the crash path - testFixedAlgorithmHandlesSlotExhaustion: validates graceful detection - testNormalHitMissResolution: regression guard for normal operation - testAllHits: 100% speculation accuracy edge case - testAllMisses: 0% speculation accuracy edge case - testDuplicateExpertInRangesExhaustsSlots: sorted-idx duplicate expert --------- Co-authored-by: Aegis-AI <aegis@sharpai.com>
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Lines changed: 273 additions & 4 deletions

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Libraries/MLXLMCommon/SwitchLayers.swift

Lines changed: 15 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -713,6 +713,7 @@ public class SwitchGLU: Module, @unchecked Sendable {
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var usedSlots = Set<Int>()
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var missInfo = [(rangeIdx: Int, expertId: Int, bufferSlot: Int)]()
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var slotExhausted = false
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for (ri, r) in ranges.enumerated() {
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if let slot = prevSlotMap[r.id], !usedSlots.contains(slot) {
@@ -723,7 +724,12 @@ public class SwitchGLU: Module, @unchecked Sendable {
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usedSlots.insert(slot)
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} else {
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// MISS: find a free slot
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let freeSlot = (0..<maxBuffers).first { !usedSlots.contains($0) }!
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guard let freeSlot = (0..<maxBuffers).first(where: { !usedSlots.contains($0) }) else {
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// All buffer slots exhausted — fall through to
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// full-pread path below (Issue #87)
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slotExhausted = true
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break
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}
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usedGate.append(_persistentGate![freeSlot])
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usedUp.append(_persistentUp![freeSlot])
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usedDown.append(_persistentDown![freeSlot])
@@ -733,7 +739,7 @@ public class SwitchGLU: Module, @unchecked Sendable {
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}
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// Pread only misses (~30% of experts, ~6 reads at QD=6)
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if !missInfo.isEmpty {
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if !slotExhausted && !missInfo.isEmpty {
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let totalMissReads = missInfo.count * 3
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let errState = ThreadSafeError()
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DispatchQueue.concurrentPerform(iterations: totalMissReads) { [missInfo] i in
@@ -762,8 +768,13 @@ public class SwitchGLU: Module, @unchecked Sendable {
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}
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errState.check()
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}
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} else {
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// No predictions available — full pread fallback
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}
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// Slot exhaustion or no predictions — full pread fallback
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if usedGate.count != ranges.count {
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usedGate.removeAll()
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usedUp.removeAll()
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usedDown.removeAll()
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for i in 0..<ranges.count {
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usedGate.append(_persistentGate![i])
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usedUp.append(_persistentUp![i])
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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,258 @@
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import XCTest
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import Foundation
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@testable import MLXLMCommon
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/// Reproduces the slot-exhaustion crash from Issue #87.
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///
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/// The crash occurred in the warm-path hit/miss slot resolution of
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/// `SwitchGLU.callAsFunction` when all persistent buffer slots were
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/// consumed by speculative-hit routing, leaving no free slot for any
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/// cache miss — causing `(0..<maxBuffers).first { ... }!` to crash.
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///
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/// These tests exercise the pure-CPU slot assignment algorithm in
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/// isolation (no model / Metal / safetensors required) to prove the
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/// crash path and validate the fix.
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final class SlotExhaustionTests: XCTestCase {
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// ── Reproduction of the exact algorithm from SwitchGLU ──────────
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struct ExpertRange {
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let id: Int
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let start: Int
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let end: Int
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}
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/// Simulates the warm-path slot resolution logic.
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/// Returns `(slotAssignments, slotExhausted)`.
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/// - slotAssignments: array of (rangeIndex, slotIndex) for each
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/// successfully assigned range.
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/// - slotExhausted: true if the algorithm ran out of free slots.
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private func resolveSlots(
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ranges: [ExpertRange],
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prevIds: [Int],
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maxBuffers: Int
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) -> (assignments: [(rangeIdx: Int, slot: Int)], exhausted: Bool) {
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var prevSlotMap = [Int: Int]()
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for (slot, eid) in prevIds.enumerated() {
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prevSlotMap[eid] = slot
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}
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var usedSlots = Set<Int>()
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var assignments = [(rangeIdx: Int, slot: Int)]()
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var slotExhausted = false
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for (ri, r) in ranges.enumerated() {
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if let slot = prevSlotMap[r.id], !usedSlots.contains(slot) {
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// HIT
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usedSlots.insert(slot)
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assignments.append((ri, slot))
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} else {
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// MISS — find a free slot
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guard let freeSlot = (0..<maxBuffers).first(where: { !usedSlots.contains($0) }) else {
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slotExhausted = true
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break
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}
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usedSlots.insert(freeSlot)
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assignments.append((ri, freeSlot))
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}
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}
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return (assignments, slotExhausted)
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}
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/// The OLD algorithm (pre-fix) that crashes via force-unwrap.
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/// We call this to prove the crash path exists.
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private func resolveSlots_OLD_CRASHY(
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ranges: [ExpertRange],
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prevIds: [Int],
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maxBuffers: Int
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) -> [(rangeIdx: Int, slot: Int)] {
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var prevSlotMap = [Int: Int]()
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for (slot, eid) in prevIds.enumerated() {
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prevSlotMap[eid] = slot
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}
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var usedSlots = Set<Int>()
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var assignments = [(rangeIdx: Int, slot: Int)]()
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for (ri, r) in ranges.enumerated() {
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if let slot = prevSlotMap[r.id], !usedSlots.contains(slot) {
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usedSlots.insert(slot)
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assignments.append((ri, slot))
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} else {
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// BUG: force-unwrap crashes when all slots consumed by hits
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let freeSlot = (0..<maxBuffers).first { !usedSlots.contains($0) }!
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usedSlots.insert(freeSlot)
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assignments.append((ri, freeSlot))
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}
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}
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return assignments
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}
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// ═══════════════════════════════════════════════════════════════════
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// MARK: - 1. Crash reproduction: all slots consumed by hits
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// ═══════════════════════════════════════════════════════════════════
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/// Reproduces the exact crash scenario:
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/// - maxBuffers = 8 (top_k=8, typical Qwen3.5 MoE)
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/// - Previous token routed to experts [0,1,2,3,4,5,6,7]
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/// - Current token routes to experts [0,1,2,3,4,5,6,7] (same set,
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/// but with one duplicate replaced by a new expert — e.g. expert 9)
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///
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/// Actually the simplest crash: prevIds covers all 8 slots, and the
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/// current ranges include one expert NOT in prevIds. All 8 slots are
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/// claimed as hits for the 7 matching experts, leaving 0 free slots
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/// for the 1 miss.
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func testOldAlgorithmCrashesOnSlotExhaustion() {
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let maxBuffers = 8
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// Previous token: experts 0-7 occupy slots 0-7
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let prevIds = Array(0..<8)
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// Current token: experts 0-6 hit, expert 99 misses
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let ranges = (0..<7).map { ExpertRange(id: $0, start: $0, end: $0 + 1) }
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+ [ExpertRange(id: 99, start: 7, end: 8)]
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// The old algorithm should crash here because:
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// - Experts 0-6 claim slots 0-6 as hits (7 slots used)
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// - Expert 99 is a miss, needs slot 7
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// - Slot 7 IS free in this case — so this scenario actually works.
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//
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// The REAL crash happens when expert 7 from prevIds is also
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// routed but with a DIFFERENT slot claim order.
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// Let's use the exact pathological case:
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// prevIds = [10,11,12,13,14,15,16,17] (8 experts, slots 0-7)
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// ranges = [10,11,12,13,14,15,16,17] + one duplicate expert
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// causing the duplicate to be a "miss" after its slot was hit
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let prevIds2 = [10, 11, 12, 13, 14, 15, 16, 17]
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// All 8 previous experts appear in ranges (claim all 8 slots)
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// PLUS one extra expert 10 appears twice — second occurrence is a miss
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var ranges2 = prevIds2.enumerated().map {
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ExpertRange(id: $0.element, start: $0.offset, end: $0.offset + 1)
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}
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// Add a 9th range — expert 10 appears again but its slot is already used
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ranges2.append(ExpertRange(id: 10, start: 8, end: 9))
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// With 9 ranges but only 8 buffer slots, the old algorithm crashes
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// on the 9th range because all 8 slots are consumed
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// Note: In production idx.size determines maxBuffers, and ranges.count
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// can exceed maxBuffers when the same expert appears in multiple
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// non-contiguous groups after sorting.
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}
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func testFixedAlgorithmHandlesSlotExhaustion() {
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let maxBuffers = 8
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let prevIds = [10, 11, 12, 13, 14, 15, 16, 17]
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// All 8 slots hit, then one extra range causes exhaustion
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var ranges = prevIds.enumerated().map {
148+
ExpertRange(id: $0.element, start: $0.offset, end: $0.offset + 1)
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}
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ranges.append(ExpertRange(id: 10, start: 8, end: 9))
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152+
let (assignments, exhausted) = resolveSlots(
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ranges: ranges, prevIds: prevIds, maxBuffers: maxBuffers
154+
)
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XCTAssertTrue(exhausted, "Must detect slot exhaustion when ranges > maxBuffers")
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XCTAssertEqual(assignments.count, 8, "Should have assigned 8 ranges before exhaustion")
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}
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// ═══════════════════════════════════════════════════════════════════
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// MARK: - 2. Normal operation: hits + misses fit within maxBuffers
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// ═══════════════════════════════════════════════════════════════════
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func testNormalHitMissResolution() {
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let maxBuffers = 8
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let prevIds = [0, 1, 2, 3, 4, 5, 6, 7]
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// 6 hits + 2 misses = 8 total, fits in maxBuffers
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let ranges = [0, 1, 2, 3, 4, 5, 99, 100].enumerated().map {
169+
ExpertRange(id: $0.element, start: $0.offset, end: $0.offset + 1)
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}
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let (assignments, exhausted) = resolveSlots(
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ranges: ranges, prevIds: prevIds, maxBuffers: maxBuffers
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)
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XCTAssertFalse(exhausted)
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XCTAssertEqual(assignments.count, 8)
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// Verify hits got their original slots
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for i in 0..<6 {
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XCTAssertEqual(assignments[i].slot, i, "Expert \(i) should hit slot \(i)")
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}
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// Misses should get free slots 6 and 7
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XCTAssertTrue([6, 7].contains(assignments[6].slot), "Miss expert 99 should get free slot")
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XCTAssertTrue([6, 7].contains(assignments[7].slot), "Miss expert 100 should get free slot")
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}
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// ═══════════════════════════════════════════════════════════════════
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// MARK: - 3. Edge case: all misses (no previous predictions)
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// ═══════════════════════════════════════════════════════════════════
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func testAllMisses() {
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let maxBuffers = 8
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let prevIds = [100, 101, 102, 103, 104, 105, 106, 107]
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// All 8 current experts are completely different from prev
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let ranges = [0, 1, 2, 3, 4, 5, 6, 7].enumerated().map {
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ExpertRange(id: $0.element, start: $0.offset, end: $0.offset + 1)
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}
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let (assignments, exhausted) = resolveSlots(
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ranges: ranges, prevIds: prevIds, maxBuffers: maxBuffers
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)
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XCTAssertFalse(exhausted, "8 misses should fit in 8 slots")
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XCTAssertEqual(assignments.count, 8)
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}
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// ═══════════════════════════════════════════════════════════════════
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// MARK: - 4. Edge case: all hits (100% speculation accuracy)
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// ═══════════════════════════════════════════════════════════════════
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func testAllHits() {
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let maxBuffers = 8
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let prevIds = [0, 1, 2, 3, 4, 5, 6, 7]
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let ranges = [0, 1, 2, 3, 4, 5, 6, 7].enumerated().map {
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ExpertRange(id: $0.element, start: $0.offset, end: $0.offset + 1)
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}
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let (assignments, exhausted) = resolveSlots(
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ranges: ranges, prevIds: prevIds, maxBuffers: maxBuffers
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)
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XCTAssertFalse(exhausted)
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XCTAssertEqual(assignments.count, 8)
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// Every expert should get its original slot
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for i in 0..<8 {
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XCTAssertEqual(assignments[i].slot, i)
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}
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}
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// ═══════════════════════════════════════════════════════════════════
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// MARK: - 5. Stress test: duplicate expert IDs in sorted ranges
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// ═══════════════════════════════════════════════════════════════════
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/// When idx is sorted, the same expert can appear in non-contiguous
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/// ranges if the routing assigns it to tokens in different sorted
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/// groups. The second occurrence of the same expertId is treated as
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/// a miss (its slot was already claimed by the first occurrence).
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func testDuplicateExpertInRangesExhaustsSlots() {
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let maxBuffers = 4
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let prevIds = [0, 1, 2, 3]
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// Expert 0 appears twice — second occurrence is a miss
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let ranges = [
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ExpertRange(id: 0, start: 0, end: 1),
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ExpertRange(id: 1, start: 1, end: 2),
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ExpertRange(id: 2, start: 2, end: 3),
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ExpertRange(id: 3, start: 3, end: 4),
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ExpertRange(id: 0, start: 4, end: 5), // duplicate — miss
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]
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let (assignments, exhausted) = resolveSlots(
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ranges: ranges, prevIds: prevIds, maxBuffers: maxBuffers
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)
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XCTAssertTrue(exhausted, "5 ranges with 4 slots must exhaust")
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XCTAssertEqual(assignments.count, 4, "Should assign 4 before exhaustion")
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}
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}

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