swiss ok, needs more benchmark
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//-----------------------------------------------------------------------
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// -----------------------------------------------------------------------
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// file="SwissBenchmark"
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// Project: StgSharp
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// AuthorGroup: Nitload
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// Copyright (c) Nitload. All rights reserved.
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//
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// Permission is hereby granted, free of charge, to any person obtaining a copy
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// of this software and associated documentation files (the "Software"), to deal
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// in the Software without restriction, including without limitation the rights
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// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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// copies of the Software, and to permit persons to whom the Software is
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// furnished to do so, subject to the following conditions:
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//
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// The above copyright notice and this permission notice shall be included in all
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// copies or substantial portions of the Software.
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//
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// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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// SOFTWARE.
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//
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// -----------------------------------------------------------------------
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// -----------------------------------------------------------------------
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using BenchmarkDotNet.Attributes;
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using StgSharp.Collections;
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using System;
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using System.Collections.Generic;
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namespace StgSharp.Benchmark
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{
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/// <summary>
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/// Benchmark comparing SwissTable (SSE2 SIMD probing, zero-GC, native memory) against <see
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/// cref="Dictionary{TKey, TValue}" /> for the L4 cache address mapping workload: concentrated
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/// small-key insert/lookup/remove cycles. <para> SwissTable.Create() performs a 1 MB memset
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/// (65536 × 16 control bytes), which is separated into IterationSetup to avoid polluting
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/// insert timings.</para>
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/// </summary>
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[MemoryDiagnoser]
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public class SwissTableBench
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{
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private const int LookupCount = 4096;
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private nint[] _lookupKeys = null!;
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// ── Pre-generated key arrays ──
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private nint[] _preloadedKeys = null!;
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private Dictionary<nint, nint> _dictLookup = null!;
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private Dictionary<nint, nint> _freshDict = null!;
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// ── Fresh instances for insert/mixed (rebuilt each iteration) ──
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private SwissTable _freshSwiss = null!;
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// ── Lookup targets (pre-filled in GlobalSetup) ──
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private SwissTable _swissLookup = null!;
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[Params(500, 2000, 5000)]
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public int KeyCount;
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[GlobalCleanup]
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public void Cleanup()
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{
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_dictLookup.Clear();
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_dictLookup.TrimExcess();
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}
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// ══════════════════════════════════════
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// Insert: pure write throughput
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// Empty table → fill N keys
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// Create() cost excluded via IterationSetup
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// ══════════════════════════════════════
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[Benchmark]
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public void Dictionary_Insert()
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{
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Dictionary<nint, nint> dict = _freshDict;
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nint[] keys = _preloadedKeys;
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for (int i = 0; i < keys.Length; i++) {
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dict[keys[i]] = keys[i] * 2;
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}
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}
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// ══════════════════════════════════════
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// Lookup: pure read throughput
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// Pre-filled table, random key access
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// ══════════════════════════════════════
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[Benchmark(Baseline = true)]
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public nint Dictionary_Lookup()
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{
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nint sum = 0;
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nint[] keys = _lookupKeys;
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Dictionary<nint, nint> dict = _dictLookup;
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for (int i = 0; i < keys.Length; i++)
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{
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if (dict.TryGetValue(keys[i], out nint value)) {
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sum += value;
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}
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}
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return sum;
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}
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// ══════════════════════════════════════
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// Mixed: insert all → lookup half → remove half → lookup all
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// Simulates L4 cache lifecycle:
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// load working set → compute → evict → recompute
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// ══════════════════════════════════════
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[Benchmark]
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public nint Dictionary_Mixed()
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{
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Dictionary<nint, nint> dict = _freshDict;
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nint[] keys = _preloadedKeys;
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nint sum = 0;
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// insert all
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for (int i = 0; i < keys.Length; i++)
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{
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dict[keys[i]] = keys[i] * 2;
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}
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// lookup first half
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for (int i = 0; i < keys.Length / 2; i++)
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{
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if (dict.TryGetValue(keys[i], out nint value)) {
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sum += value;
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}
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}
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// remove first half (eviction)
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for (int i = 0; i < keys.Length / 2; i++)
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{
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dict.Remove(keys[i]);
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}
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// lookup all (half hit, half miss)
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for (int i = 0; i < keys.Length; i++)
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{
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if (dict.TryGetValue(keys[i], out nint value)) {
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sum += value;
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}
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}
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return sum;
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}
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[IterationSetup(Targets = [
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nameof(SwissTable_Insert),
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nameof(SwissTable_Mixed),
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nameof(Dictionary_Insert),
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nameof(Dictionary_Mixed)
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])]
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public void IterationSetup()
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{
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_freshSwiss = SwissTable.Create();
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_freshDict = new Dictionary<nint, nint>(KeyCount);
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}
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// ── Setup / Teardown ──
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[GlobalSetup]
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public void Setup()
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{
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_preloadedKeys = new nint[KeyCount];
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_lookupKeys = new nint[LookupCount];
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_swissLookup = SwissTable.Create();
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_dictLookup = new Dictionary<nint, nint>(KeyCount);
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for (int i = 0; i < KeyCount; i++)
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{
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_preloadedKeys[i] = (nint)i;
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_swissLookup.TryAddOrSet((nint)i, (nint)(i * 2), out _);
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_dictLookup[(nint)i] = (nint)(i * 2);
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}
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Random rng = new Random(42);
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for (int i = 0; i < LookupCount; i++) {
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_lookupKeys[i] = (nint)rng.Next(0, KeyCount);
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}
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}
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[Benchmark]
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public void SwissTable_Insert()
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{
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SwissTable swiss = _freshSwiss;
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nint[] keys = _preloadedKeys;
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for (int i = 0; i < keys.Length; i++) {
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swiss.TryAddOrSet(keys[i], keys[i] * 2, out _);
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}
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}
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[Benchmark]
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public nint SwissTable_Lookup()
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{
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nint sum = 0;
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nint[] keys = _lookupKeys;
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SwissTable swiss = _swissLookup;
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for (int i = 0; i < keys.Length; i++)
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{
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if (swiss.TryGet(keys[i], out nint value)) {
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sum += value;
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}
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}
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return sum;
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}
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[Benchmark]
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public nint SwissTable_Mixed()
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{
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SwissTable swiss = _freshSwiss;
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nint[] keys = _preloadedKeys;
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nint sum = 0;
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// insert all
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for (int i = 0; i < keys.Length; i++)
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{
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swiss.TryAddOrSet(keys[i], keys[i] * 2, out _);
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}
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// lookup first half
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for (int i = 0; i < keys.Length / 2; i++)
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{
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if (swiss.TryGet(keys[i], out nint value)) {
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sum += value;
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}
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}
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// remove first half (eviction)
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for (int i = 0; i < keys.Length / 2; i++)
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{
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swiss.TryRemove(keys[i], out _);
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}
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// lookup all (half hit, half miss)
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for (int i = 0; i < keys.Length; i++)
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{
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if (swiss.TryGet(keys[i], out nint value)) {
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sum += value;
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}
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}
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return sum;
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}
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}
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}
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