forked from premiere/premiere-libtorrent
24b271b7c1
fix DHT peer picking algorithm. The old code was always picking the first to_pick peers from the set. * use a sorted vector to store peer announcments Given the frequency of linear scans being done, std::set is clearly sub-optimal for storing announced peers. A std::vector is the obvious choice, which I also decided to make sorted. A sorted vector trades better performance in announce_peer for slower purging, the latter being mitigated by batching. * shrink peers vectors with too much excess capacity |
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|---|---|---|
| .github | ||
| bindings | ||
| cmake/Modules | ||
| docs | ||
| ed25519 | ||
| examples | ||
| include/libtorrent | ||
| m4 | ||
| simulation | ||
| src | ||
| test | ||
| tools | ||
| .gitignore | ||
| .gitmodules | ||
| .travis.yml | ||
| AUTHORS | ||
| CMakeLists.txt | ||
| CONTRIBUTING.rst | ||
| COPYING | ||
| ChangeLog | ||
| Jamfile | ||
| Jamroot.jam | ||
| LICENSE | ||
| Makefile.am | ||
| NEWS | ||
| README.rst | ||
| appveyor.yml | ||
| autotool.sh | ||
| bootstrap.sh | ||
| build_dist.sh | ||
| configure.ac | ||
| libtorrent-rasterbar-cmake.pc.in | ||
| libtorrent-rasterbar.pc.in | ||
| setup.py | ||
README.rst
libtorrent
----------
.. image:: https://travis-ci.org/arvidn/libtorrent.svg?branch=master
:target: https://travis-ci.org/arvidn/libtorrent
.. image:: https://ci.appveyor.com/api/projects/status/w7teauvub5813mew/branch/master?svg=true
:target: https://ci.appveyor.com/project/arvidn/libtorrent/branch/master
.. image:: https://codecov.io/github/arvidn/libtorrent/coverage.svg?branch=master
:target: https://codecov.io/github/arvidn/libtorrent?branch=master&view=all#sort=missing&dir=desc
.. image:: https://www.openhub.net/p/rasterbar-libtorrent/widgets/project_thin_badge.gif
:target: https://www.openhub.net/p/rasterbar-libtorrent?ref=sample
libtorrent is an open source C++ library implementing the BitTorrent protocol,
along with most popular extensions, making it suitable for real world
deployment. It is configurable to be able to fit both servers and embedded
devices.
The main goals of libtorrent are to be efficient and easy to use.
See `libtorrent.org`__ for more detailed build and usage instructions.
.. __: http://libtorrent.org
To build with boost-build, make sure boost and boost-build is installed and run:
b2
In the libtorrent root. To build the examples, run ``b2`` in the ``examples``
directory.
See `building.html`__ for more details on how to build and which configuration
options are available. For python bindings, see `the python docs`__.
.. __: docs/building.rst
.. __: docs/python_binding.rst