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TimSort

A C++ implementation of TimSort, an O(n log n) stable sorting algorithm, ported from Python's and OpenJDK's.

See also the following links for a detailed description of TimSort:

This library requires at least C++11. If you need a C++98 version, you can check the 1.x.y branch of this repository.

According to the benchmarks, gfx::timsort is slower than std::sort() on randomized sequences, but faster on partially-sorted ones. It can be used as a drop-in replacement for std::stable_sort, with the difference that it can't fallback to a O(n logĀ² n) algorithm when there isn't enough extra heap memory available.

gfx::timsort also has a few additional features and guarantees compared to std::stable_sort:

Merging sorted ranges efficiently is an important part of the TimSort algorithm. This library exposes gfx::timmerge in the public API, a drop-in replacement for std::inplace_merge with the difference that it can't fallback to a O(n log n) algorithm when there isn't enough extra heap memory available. According to the benchmarks, gfx::timmerge is slower than std::inplace_merge on heavily/randomly overlapping subranges of simple elements, but it is faster for complex elements such as std::string and on sparsely overlapping subranges.

Just like gfx::timsort, gfx::timmerge can take a projection function and avoids using the postfix ++ and -- operators.

The list of available signatures is as follows (in namespace gfx):

// timsort

template <
    typename RandomAccessIterator,
    typename Compare = /* see below (1) */,
    typename Projection = /* see below (2) */
>
void timsort(RandomAccessIterator const first, RandomAccessIterator const last,
             Compare compare={}, Projection projection={});

template <
    typename RandomAccessRange,
    typename Compare = /* see below (1) */,
    typename Projection = /* see below (2) */
>
void timsort(RandomAccessRange &range, Compare compare={}, Projection projection={});

// timmerge

template <
    typename RandomAccessIterator,
    typename Compare = /* see below (1) */,
    typename Projection = /* see below (2) */
>
void timmerge(RandomAccessIterator first, RandomAccessIterator middle,
              RandomAccessIterator last, Compare compare={}, Projection projection={});

In the signatures above:

EXAMPLE

Example of using timsort with a comparison function and a projection function to sort a vector of strings by length:

#include <string>
#include <vector>
#include <gfx/timsort.hpp>

size_t len(const std::string& str) {
    return str.size();
}

// Sort a vector of strings by length
std::vector<std::string> collection = { /* ... */ };
gfx::timsort(collection, std::less<std::string>{}, &len);

INSTALLATION & COMPATIBILITY

Ubuntu builds status Windows builds status MacOS builds status

The library has been tested with the following compilers:

It should also work with more recent compilers, and most likely with some older compilers too. We used to guarantee support as far back as Clang 3.8, but the new continuous integration environment doesn't go that far back.

The library can be installed on the system via CMake with the following commands:

cmake -H. -Bbuild -DCMAKE_BUILD_TYPE=Release
cd build
make install

Alternatively the library is also available on conan-center-index and can be installed in your local Conan cache via the following command:

conan install timsort/2.1.0

DIAGNOSTICS & INFORMATION

The following configuration macros allow gfx::timsort and gfx::timmerge to emit diagnostics, which can be helpful to diagnose issues:

cpp-TimSort follows semantic versioning and provides the following macros to retrieve the current major, minor and patch versions:

GFX_TIMSORT_VERSION_MAJOR
GFX_TIMSORT_VERSION_MINOR
GFX_TIMSORT_VERSION_PATCH

TESTS

The tests are written with Catch2 and can be compiled with CMake and run through CTest.

When using the project's main CMakeLists.txt, the CMake variable BUILD_TESTING is ON by default unless the project is included as a subdirectory. The following CMake variables are available to change the way the tests are built with CMake:

BENCHMARKS

Benchmarks are available in the benchmarks subdirectory, and can be constructed directly by passing BUILD_BENCHMARKS=ON variable to CMake during the configuration step.

Example bench_sort output (timing scale: sec.):

c++ -v
Apple LLVM version 7.0.0 (clang-700.0.72)
Target: x86_64-apple-darwin14.5.0
Thread model: posix
c++ -I. -Wall -Wextra -g  -DNDEBUG -O2 -std=c++11 example/bench.cpp -o .bin/bench
./.bin/bench
RANDOMIZED SEQUENCE
[int]
size	100000
std::sort        0.695253
std::stable_sort 0.868916
timsort          1.255825
[std::string]
size	100000
std::sort        3.438217
std::stable_sort 4.122629
timsort          5.791845
REVERSED SEQUENCE
[int]
size	100000
std::sort        0.045461
std::stable_sort 0.575431
timsort          0.019139
[std::string]
size	100000
std::sort        0.586707
std::stable_sort 2.715778
timsort          0.345099
SORTED SEQUENCE
[int]
size	100000
std::sort        0.021876
std::stable_sort 0.087993
timsort          0.008042
[std::string]
size	100000
std::sort        0.402458
std::stable_sort 2.436326
timsort          0.298639

Example bench_merge output (timing scale: milliseconds; omitted detailed results for different middle iterator positions, reformatted to improve readability):

c++ -v
Using built-in specs.
...
Target: x86_64-pc-linux-gnu
...
gcc version 10.2.0 (GCC)
c++ -I ../include -Wall -Wextra -g -DNDEBUG -O2 -std=c++11 bench_merge.cpp -o bench_merge
./bench_merge
size	100000
element type\algorithm:      	std::inplace_merge	timmerge
RANDOMIZED SEQUENCE
[int] approx. average        	 33.404430        	 37.047990
[std::string] approx. average	324.964249        	210.297207
REVERSED SEQUENCE
[int] approx. average        	 11.441404        	  4.017482
[std::string] approx. average	305.649503        	114.773898
SORTED SEQUENCE
[int] approx. average        	  4.291098        	  0.105571
[std::string] approx. average	158.238114        	  0.273858

Detailed bench_merge results for different middle iterator positions can be found at https://github.com/timsort/cpp-TimSort/wiki/Benchmark-results