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odd_even_sort.cc
190 lines (174 loc) · 6.08 KB
/
odd_even_sort.cc
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/*
[ Odd even sort ]
Best time complexity : O(n)
Worst time complexity : O(n²)
Average time complexity : O(n²)
Space complexity : O(1)
Stable : Yes
Iterator Required : Random access iterator
*/
#include <algorithm>
#include <functional>
#include <vector>
#include <iostream>
#include <ctime>
#include <Windows.h>
// odd_even_sort
template <typename Iter, typename Compare = std::less<>>
void odd_even_sort(Iter first, Iter last, Compare cmp = Compare())
{
const auto len = last - first;
bool isSorted = false;
for (int i = 0; i < len; ++i)
{
isSorted = true;
for (int j = i & 1 ? 2 : 1; j < len; j += 2)
{
if (cmp(*(first + j), *(first + j - 1)))
{
std::iter_swap(first + j, first + j - 1);
isSorted = false;
}
}
if (isSorted)
break;
}
}
// test
#define SMALL_SORT_TEST(sort, count) do { \
double t = 0.0; \
std::vector<int> v(count); \
LARGE_INTEGER t1, t2, tc; \
for (int i = 0; i < 10; ++i) { \
for (auto& it : v) it = rand(); \
QueryPerformanceFrequency(&tc); \
QueryPerformanceCounter(&t1); \
sort(v.begin(), v.end()); \
QueryPerformanceCounter(&t2); \
t += (t2.QuadPart - t1.QuadPart)*1e6 / tc.QuadPart; \
} \
t /= 10.0; \
printf("// %7d numbers cost : %fμs\n", count, t); \
} while(0)
#define LARGE_SORT_TEST(sort, count) do { \
std::vector<int> v(count); \
for (auto& it : v) it = rand(); \
LARGE_INTEGER t1, t2, tc; \
QueryPerformanceFrequency(&tc); \
QueryPerformanceCounter(&t1); \
sort(v.begin(), v.end()); \
QueryPerformanceCounter(&t2); \
printf("// %7d numbers cost : %fms\n", \
count,(t2.QuadPart - t1.QuadPart)*1e3 / tc.QuadPart); \
} while(0)
int main()
{
srand((int)time(0));
/** [ Correctness verification ] **/
std::vector<int> v = { 2,3,6,9,0,3,9,6,5,7 };
odd_even_sort(v.begin(), v.end(), std::greater<>());
for (auto& it : v)
std::cout << " " << it;
std::cout << "\n";
// output:
// 9 9 7 6 6 5 3 3 2 0
std::vector<int> v2(10000);
for (auto& it : v2)
it = rand();
odd_even_sort(v2.begin(), v2.end());
std::cout << std::boolalpha << " " << std::is_sorted(v2.begin(), v2.end()) << "\n";
// output:
// true
/** [ Small amount of data ] **/
std::cout << "\n// [ Small amount of data ]\n";
SMALL_SORT_TEST(odd_even_sort, 16);
SMALL_SORT_TEST(odd_even_sort, 32);
SMALL_SORT_TEST(odd_even_sort, 64);
SMALL_SORT_TEST(odd_even_sort, 128);
SMALL_SORT_TEST(odd_even_sort, 512);
SMALL_SORT_TEST(odd_even_sort, 1024);
/** [ Large amount of data ] **/
std::cout << "//\n// [ Large amount of data ]\n";
LARGE_SORT_TEST(odd_even_sort, 10000);
LARGE_SORT_TEST(odd_even_sort, 100000);
LARGE_SORT_TEST(odd_even_sort, 1000000);
}
// I run 5 times for 'Small amount of data' and 'Large amount of data'.
// [ 1st time ]
// [ Small amount of data ]
// 16 numbers cost : 0.559839μs
// 32 numbers cost : 1.772823μs
// 64 numbers cost : 5.738348μs
// 128 numbers cost : 19.174480μs
// 512 numbers cost : 244.976146μs
// 1024 numbers cost : 842.790722μs
//
// [ Large amount of data ]
// 10000 numbers cost : 108.089951ms
// 100000 numbers cost : 11540.397971ms
// 1000000 numbers cost : 1199569.698536ms
// [ 2nd time ]
// [ Small amount of data ]
// 16 numbers cost : 0.606492μs
// 32 numbers cost : 1.959436μs
// 64 numbers cost : 6.531453μs
// 128 numbers cost : 21.087263μs
// 512 numbers cost : 255.566431μs
// 1024 numbers cost : 854.873910μs
//
// [ Large amount of data ]
// 10000 numbers cost : 107.003397ms
// 100000 numbers cost : 11183.463854ms
// 1000000 numbers cost : 1197772.424112ms
// [ 3rd time ]
// [ Small amount of data ]
// 16 numbers cost : 0.699799μs
// 32 numbers cost : 2.146049μs
// 64 numbers cost : 6.484800μs
// 128 numbers cost : 21.040610μs
// 512 numbers cost : 263.637441μs
// 1024 numbers cost : 824.082774μs
//
// [ Large amount of data ]
// 10000 numbers cost : 107.693865ms
// 100000 numbers cost : 11500.014463ms
// 1000000 numbers cost : 1188684.744485ms
// [ 4th time ]
// [ Small amount of data ]
// 16 numbers cost : 0.699799μs
// 32 numbers cost : 2.146049μs
// 64 numbers cost : 6.391493μs
// 128 numbers cost : 21.180569μs
// 512 numbers cost : 258.692198μs
// 1024 numbers cost : 1031.689678μs
//
// [ Large amount of data ]
// 10000 numbers cost : 106.175769ms
// 100000 numbers cost : 11451.304751ms
// 1000000 numbers cost : 1183510.172738ms
// [ 5th time ]
// [ Small amount of data ]
// 16 numbers cost : 0.653145μs
// 32 numbers cost : 2.286009μs
// 64 numbers cost : 6.251534μs
// 128 numbers cost : 21.180569μs
// 512 numbers cost : 256.032963μs
// 1024 numbers cost : 1006.870156μs
//
// [ Large amount of data ]
// 10000 numbers cost : 104.280714ms
// 100000 numbers cost : 11660.575309ms
// 1000000 numbers cost : 1223757.897227ms
// [ average ]
// [ Small amount of data ]
// 16 numbers cost : 0.643815μs
// 32 numbers cost : 2.062073μs
// 64 numbers cost : 6.279526μs
// 128 numbers cost : 20.732698μs
// 512 numbers cost : 255.781036μs
// 1024 numbers cost : 912.061448μs
//
// [ Large amount of data ]
// 10000 numbers cost : 106.648739ms
// 100000 numbers cost : 11467.151270ms
// 1000000 numbers cost : 1198658.987420ms