| 1 | /* -*- C++ -*- | 
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| 2 | * | 
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| 3 | * This file is a part of LEMON, a generic C++ optimization library | 
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| 4 | * | 
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| 5 | * Copyright (C) 2003-2006 | 
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| 6 | * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport | 
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| 7 | * (Egervary Research Group on Combinatorial Optimization, EGRES). | 
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| 8 | * | 
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| 9 | * Permission to use, modify and distribute this software is granted | 
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| 10 | * provided that this copyright notice appears in all copies. For | 
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| 11 | * precise terms see the accompanying LICENSE file. | 
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| 12 | * | 
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| 13 | * This software is provided "AS IS" with no warranty of any kind, | 
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| 14 | * express or implied, and with no claim as to its suitability for any | 
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| 15 | * purpose. | 
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| 16 | * | 
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| 17 | */ | 
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| 18 |  | 
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| 19 | #define NDEBUG | 
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| 20 |  | 
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| 21 | #include <lemon/time_measure.h> | 
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| 22 | #include <lemon/smart_graph.h> | 
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| 23 | #include <lemon/graph_utils.h> | 
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| 24 | #include <lemon/maps.h> | 
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| 25 | #include <lemon/error.h> | 
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| 26 |  | 
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| 27 | #include <lemon/radix_sort.h> | 
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| 28 |  | 
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| 29 | #include <vector> | 
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| 30 | #include <algorithm> | 
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| 31 | #include <cmath> | 
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| 32 |  | 
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| 33 | using namespace std; | 
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| 34 | using namespace lemon; | 
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| 35 |  | 
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| 36 | void testRadixSort() { | 
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| 37 | int n = 10000000; | 
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| 38 | vector<int> data(n); | 
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| 39 | for (int i = 0; i < n; ++i) { | 
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| 40 | data[i] = (int)(1000 * (rand() / (RAND_MAX + 1.0))) - 500; | 
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| 41 | } | 
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| 42 | radixSort(data.begin(), data.end()); | 
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| 43 | } | 
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| 44 |  | 
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| 45 |  | 
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| 46 | void testCounterSort() { | 
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| 47 | int n = 10000000; | 
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| 48 | vector<int> data(n); | 
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| 49 | for (int i = 0; i < n; ++i) { | 
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| 50 | data[i] = (int)(1000 * (rand() / (RAND_MAX + 1.0))) - 500; | 
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| 51 | } | 
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| 52 | counterSort(data.begin(), data.end()); | 
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| 53 | } | 
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| 54 |  | 
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| 55 | void testSort() { | 
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| 56 | int n = 10000000; | 
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| 57 | vector<int> data(n); | 
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| 58 | for (int i = 0; i < n; ++i) { | 
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| 59 | data[i] = (int)(1000 * (rand() / (RAND_MAX + 1.0))) - 500; | 
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| 60 | } | 
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| 61 | sort(data.begin(), data.end()); | 
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| 62 | } | 
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| 63 |  | 
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| 64 | void testStableSort() { | 
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| 65 | int n = 10000000; | 
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| 66 | vector<int> data(n); | 
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| 67 | for (int i = 0; i < n; ++i) { | 
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| 68 | data[i] = (int)(1000 * (rand() / (RAND_MAX + 1.0))) - 500; | 
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| 69 | } | 
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| 70 | stable_sort(data.begin(), data.end()); | 
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| 71 | } | 
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| 72 |  | 
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| 73 | void testSorts() { | 
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| 74 | { | 
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| 75 | int n = 10000000; | 
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| 76 | vector<int> data(n); | 
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| 77 | } | 
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| 78 | cout << "Radix sort: " << runningTimeTest(testRadixSort, 60) << endl; | 
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| 79 | cout << "Counter sort: " << runningTimeTest(testCounterSort, 60) << endl; | 
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| 80 | cout << "Standard sort: " << runningTimeTest(testSort, 60) << endl; | 
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| 81 | cout << "Stable sort: " << runningTimeTest(testStableSort, 60) << endl; | 
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| 82 | } | 
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| 83 |  | 
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| 84 |  | 
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| 85 | int main() { | 
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| 86 | testSorts(); | 
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| 87 | return 0; | 
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| 88 | } | 
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