forked from premiere/premiere-libtorrent
a9dbbdea37
use array_view instead of std::vector in crypto_plugin interface. return a vector of const_buffers for prepending new buffers. use stack allocated (single buffer) iovecs for receives. general cleanup |
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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