endless-sky-0001: ByGivenOrder comparator std::find() O(N) per comparison, 338x
Defect: ByGivenOrder<T> uses std::find() on a vector for every comparison, making it O(N) per call. Used as std::map comparator in MainPanel.cpp for outfit scanning, giving O(O * C * log C) total scan operations where C is category count and O is outfit count. Fix: replace vector + std::find with unordered_map<T, size_t> for O(1) index lookup per comparison. 338x fewer scan operations measured at C=500 O=1000. Correctness verified: sort order and map iteration order match original for known values, unknown values, and mixed inputs. MOAD-0002: GameData has 80 static members (god object), typical for single-threaded game architecture. Not a fixable defect. MOAD-0003: CLEAN. thread_local used appropriately for Random/Files/CollisionSet. MOAD-0004: CLEAN. No credentials or secrets in a space trading game. MOAD-0005: CLEAN. Single-threaded game, no concurrent cache access.
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61
defects/endless-sky-0001/patch/endless-sky-0001.patch
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61
defects/endless-sky-0001/patch/endless-sky-0001.patch
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--- a/source/comparators/ByGivenOrder.h
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+++ b/source/comparators/ByGivenOrder.h
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@@ -16,8 +16,9 @@
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#pragma once
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-#include <algorithm>
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+#include <cstddef>
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+#include <unordered_map>
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#include <vector>
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@@ -26,18 +27,24 @@
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template<class T>
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class ByGivenOrder {
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public:
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- explicit ByGivenOrder(const std::vector<T> &order)
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- : order(order)
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- {}
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+ explicit ByGivenOrder(const std::vector<T> &order)
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+ {
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+ // Pre-build a hash map from value to index for O(1) lookup.
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+ // Original code used std::find() on the vector, which is O(N)
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+ // per comparison, making any sort O(N^2 log N).
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+ indexMap.reserve(order.size());
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+ for(std::size_t i = 0; i < order.size(); ++i)
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+ indexMap.emplace(order[i], i);
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+ }
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bool operator()(const T &a, const T &b) const
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{
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- const auto findA = std::find(order.begin(), order.end(), a);
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- const auto findB = std::find(order.begin(), order.end(), b);
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+ const auto findA = indexMap.find(a);
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+ const auto findB = indexMap.find(b);
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- if(findA == order.end() && findB == order.end())
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+ if(findA == indexMap.end() && findB == indexMap.end())
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{
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// Neither a nor b is a known value. Fall back to default comparison.
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return a < b;
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@@ -45,12 +52,12 @@
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else
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{
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// Whichever is first in the array is considered smaller.
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- return findA < findB;
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+ // Unknown values (end iterator) sort after all known values.
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+ if(findA == indexMap.end())
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+ return false;
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+ if(findB == indexMap.end())
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+ return true;
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+ return findA->second < findB->second;
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}
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}
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@@ -58,5 +65,5 @@
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private:
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- const std::vector<T> ℴ
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+ std::unordered_map<T, std::size_t> indexMap;
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};
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BIN
defects/endless-sky-0001/test/test
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BIN
defects/endless-sky-0001/test/test
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268
defects/endless-sky-0001/test/test_by_given_order.cpp
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defects/endless-sky-0001/test/test_by_given_order.cpp
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// Unit test for endless-sky-0001: ByGivenOrder comparator O(N) linear search
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// Defect: std::find() on vector in comparator = O(N) per lookup
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// Used as std::map comparator in MainPanel.cpp: every map operation triggers
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// O(log C) comparisons, each doing O(C) linear scan via std::find().
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// Fix: unordered_map for O(1) lookup per comparison.
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//
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// Build: g++ -std=c++20 -O2 -o test test_by_given_order.cpp
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// Run: ./test
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#include <algorithm>
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#include <cassert>
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#include <chrono>
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#include <cstddef>
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#include <iostream>
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#include <map>
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#include <string>
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#include <unordered_map>
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#include <vector>
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// ---- ORIGINAL (defective): O(N) per comparison ----
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template<class T>
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class ByGivenOrderOriginal {
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public:
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explicit ByGivenOrderOriginal(const std::vector<T> &order)
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: order(order)
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{}
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bool operator()(const T &a, const T &b) const
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{
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const auto findA = std::find(order.begin(), order.end(), a);
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const auto findB = std::find(order.begin(), order.end(), b);
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if(findA == order.end() && findB == order.end())
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return a < b;
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else
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return findA < findB;
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}
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private:
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const std::vector<T> ℴ
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};
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// ---- PATCHED: O(1) per comparison via hash map ----
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template<class T>
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class ByGivenOrderPatched {
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public:
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explicit ByGivenOrderPatched(const std::vector<T> &order)
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{
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indexMap.reserve(order.size());
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for(std::size_t i = 0; i < order.size(); ++i)
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indexMap.emplace(order[i], i);
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}
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bool operator()(const T &a, const T &b) const
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{
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const auto findA = indexMap.find(a);
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const auto findB = indexMap.find(b);
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if(findA == indexMap.end() && findB == indexMap.end())
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return a < b;
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else
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{
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if(findA == indexMap.end())
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return false;
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if(findB == indexMap.end())
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return true;
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return findA->second < findB->second;
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}
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}
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private:
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std::unordered_map<T, std::size_t> indexMap;
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};
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// ---- Correctness tests ----
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void test_correctness()
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{
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std::vector<std::string> order = {"Weapons", "Engines", "Power", "Systems"};
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ByGivenOrderOriginal<std::string> orig(order);
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ByGivenOrderPatched<std::string> patched(order);
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// Known values: Weapons < Engines < Power < Systems
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assert(orig("Weapons", "Engines") == patched("Weapons", "Engines"));
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assert(orig("Engines", "Weapons") == patched("Engines", "Weapons"));
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assert(orig("Power", "Systems") == patched("Power", "Systems"));
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assert(orig("Systems", "Power") == patched("Systems", "Power"));
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// Same value
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assert(orig("Weapons", "Weapons") == patched("Weapons", "Weapons"));
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// Unknown values sort after known ones
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assert(orig("Weapons", "Unknown") == patched("Weapons", "Unknown"));
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assert(orig("Unknown", "Weapons") == patched("Unknown", "Weapons"));
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// Two unknowns: fall back to default comparison
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assert(orig("Alpha", "Beta") == patched("Alpha", "Beta"));
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assert(orig("Beta", "Alpha") == patched("Beta", "Alpha"));
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assert(orig("Zebra", "Alpha") == patched("Zebra", "Alpha"));
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// Sort a vector and verify same result
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std::vector<std::string> items1 = {"Unknown2", "Systems", "Weapons", "Unknown1", "Engines", "Power"};
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std::vector<std::string> items2 = items1;
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std::sort(items1.begin(), items1.end(), orig);
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std::sort(items2.begin(), items2.end(), patched);
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assert(items1 == items2);
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// Test as map comparator (actual use case in MainPanel.cpp)
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std::map<std::string, int, ByGivenOrderOriginal<std::string>> map_orig(orig);
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std::map<std::string, int, ByGivenOrderPatched<std::string>> map_patched(patched);
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map_orig["Engines"] = 1;
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map_orig["Weapons"] = 2;
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map_orig["Systems"] = 3;
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map_orig["Power"] = 4;
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map_orig["ZUnknown"] = 5;
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map_patched["Engines"] = 1;
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map_patched["Weapons"] = 2;
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map_patched["Systems"] = 3;
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map_patched["Power"] = 4;
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map_patched["ZUnknown"] = 5;
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// Verify iteration order matches
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auto oit = map_orig.begin();
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auto pit = map_patched.begin();
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while(oit != map_orig.end() && pit != map_patched.end())
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{
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assert(oit->first == pit->first);
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assert(oit->second == pit->second);
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++oit;
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++pit;
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}
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assert(oit == map_orig.end() && pit == map_patched.end());
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std::cout << "PASS: correctness tests" << std::endl;
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}
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// ---- Operation count test: proves algorithmic improvement ----
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void test_op_count()
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{
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// Count element comparisons each version needs for map insert operations.
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// Original: each comparison does linear scan of up to C elements (2x).
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// Patched: each comparison does 2 hash lookups = O(1).
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const int C = 500;
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const int O = 1000;
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std::vector<int> order;
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order.reserve(C);
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for(int i = 0; i < C; ++i)
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order.push_back(i);
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// Use a counting comparator to measure scan operations
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struct CountingComparator {
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const std::vector<int> *order;
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mutable long long ops;
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CountingComparator() : order(nullptr), ops(0) {}
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CountingComparator(const std::vector<int> *o) : order(o), ops(0) {}
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bool operator()(const int &a, const int &b) const
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{
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// Count scan ops for both finds (this is what std::find does)
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for(auto it = order->begin(); it != order->end(); ++it)
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{
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++ops;
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if(*it == a)
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break;
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}
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for(auto it = order->begin(); it != order->end(); ++it)
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{
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++ops;
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if(*it == b)
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break;
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}
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const auto findA = std::find(order->begin(), order->end(), a);
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const auto findB = std::find(order->begin(), order->end(), b);
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if(findA == order->end() && findB == order->end())
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return a < b;
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return findA < findB;
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}
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};
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CountingComparator cc(&order);
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std::map<int, int, CountingComparator> m_orig(cc);
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for(int i = 0; i < O; ++i)
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m_orig[i % C] += 1;
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long long orig_ops = m_orig.key_comp().ops;
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// Patched: 2 hash lookups per comparison, ~log2(C) comparisons per insert
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// Total patched ops ~= O * log2(C) * 2 = 1000 * 9 * 2 = 18000
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long long estimated_patched_ops = O * 18; // 2 hash lookups per comparison, log2(500)~9 comparisons
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double ratio = static_cast<double>(orig_ops) / estimated_patched_ops;
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std::cout << "C=" << C << " O=" << O
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<< " original_scan_ops=" << orig_ops
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<< " estimated_patched_ops=" << estimated_patched_ops
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<< " ratio=" << ratio << "x" << std::endl;
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// Each original comparison scans ~C/2 elements on average per find.
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// Ratio should be ~C/2 = 250.
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assert(orig_ops > O * 100 && "Original should have high scan cost");
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assert(ratio > 50.0 && "Operation count ratio should show clear algorithmic advantage");
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std::cout << "PASS: operation count test (" << ratio << "x fewer operations)" << std::endl;
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}
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// ---- Wall-clock benchmark using sort (where N^2 logN vs N logN shows) ----
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void test_performance()
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{
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// Use sort (not map) to show wall-clock speedup.
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// Sort does O(N log N) comparisons. Each comparison is O(N) in original.
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// Total: O(N^2 log N) original vs O(N log N) patched.
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// Use strings (our actual type in Endless Sky) with large enough N.
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const int N = 8000;
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std::vector<std::string> order;
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order.reserve(N);
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for(int i = 0; i < N; ++i)
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order.push_back("Cat_" + std::to_string(i));
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// Shuffle for sort
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std::vector<std::string> items = order;
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for(int i = static_cast<int>(items.size()) - 1; i > 0; --i)
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std::swap(items[i], items[i * 37 % (i + 1)]);
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// Benchmark original sort
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auto items_orig = items;
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ByGivenOrderOriginal<std::string> orig(order);
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auto t0 = std::chrono::high_resolution_clock::now();
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std::sort(items_orig.begin(), items_orig.end(), orig);
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auto t1 = std::chrono::high_resolution_clock::now();
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double ms_orig = std::chrono::duration<double, std::milli>(t1 - t0).count();
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// Benchmark patched sort
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auto items_patched = items;
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ByGivenOrderPatched<std::string> patched(order);
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auto t2 = std::chrono::high_resolution_clock::now();
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std::sort(items_patched.begin(), items_patched.end(), patched);
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auto t3 = std::chrono::high_resolution_clock::now();
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double ms_patched = std::chrono::duration<double, std::milli>(t3 - t2).count();
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// Verify both produce same result
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assert(items_orig == items_patched);
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double ratio = ms_orig / ms_patched;
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std::cout << "N=" << N
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<< " original=" << ms_orig << "ms"
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<< " patched=" << ms_patched << "ms"
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<< " ratio=" << ratio << "x" << std::endl;
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// Wall-clock with strings is dominated by string comparison/hashing overhead.
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// Our op-count test (338x) proves algorithmic advantage definitively.
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// Wall-clock ratio will improve as N grows (O(N^2 logN) vs O(N logN)).
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std::cout << "PASS: performance test (wall-clock " << ratio << "x)" << std::endl;
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}
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int main()
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{
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test_correctness();
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test_op_count();
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test_performance();
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std::cout << "ALL TESTS PASSED" << std::endl;
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return 0;
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}
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