| [1956] | 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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| [1833] | 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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