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Libtorrent On Windows: How To Install And Configure It

  • sandtopcnelitergi
  • Aug 17, 2023
  • 6 min read


If you took a quick look at the setup.py file you are trying to install, you would see that it assumes you have installed the boost C++ libraries in order to generate the libtorrent.pyd required for Python. You would expect to get an error, but that's not how things are right now.




How To Build Libtorrent On Windows



For your own convenience, I have built Python Wheels of libtorrent which can be installed with pip install. Please take into consideration, that if it does not work, it means you will have to build your own .pyd for your machine.


Now everything is set up and you are ready to install the boost C++ libraries. Because libtorrent's Python bindings have some issues with boost versions higher than 1.63 (in August 2017), make sure to download this one.After you have downloaded it:


The last one may be the most surprising. libtorrent has experienced this once and will experience it again. For security reasons, it may be important to update how filenames are formed from torrents, and when upgrading from one version to the next, you may no longer be seeding the files you thought you were.


Another upcoming change for the next major version of libtorrent is that path elements will be preserved as specified in the torrent, rather than split. For example, current libtorrent makes this transform:


This build guide assumes Windows 7 with Microsoft Visual Studio 2010 SP1. We will use Qt 4.7.3, Boost 1.46.1, Libtorrent 0.15.6, CMake 2.8.4, qxmpp-dev snapshot and fresh enough OpenSSL.We will use E:\LeechCraft path for LeechCraft source and we will store third-party libraries in E:\libs throughout the guide. Adjust the paths accordingly.


for building both static and shared release-only libraries.Building Boost takes a while, from several minutes on a pretty modern Core i7 system to hours on older systems. My Athlon 64 X2 4000+ managed to build in 24 minutes, for example. So, we may move on to installing other dependencies while Boost is being built.


Speex is needed for Jingle support in LeechCraft Azoth.Download sources from Speex site. At the time of writing, 1.2rc1 version was actual. Unpack the sources to E:\Libs\speex.Load the VS2003 (later ones would cause you problems) solution from E:\Libs\speex\win32\VS2008\libspeex.sln. MSVS2010 may ask to convert it, so accept and convert.Having successfully converted the project, select Release build type and build the libspeex project.


By the time you get here, Boost should have already been compiled, so now libtorrent, which depends on Boost, can be built.First, get the source. At the time of writing, 0.15.6 was the latest version.Then, extract the archive into E:\Libs\libtorrent. Open MSVS command prompt and issue:


Run E:\leechcraft\tools\win32\build32.bat script. Open E:\leechcraft\tools\win32\build32\leechcraft.sln, select RelWithDebInfo configuration and build the solution.Then, after it builds, use the E:\leechcraft\tools\win32\collect32.bat to collect all LeechCraft-related libraries and executables into single directory, ready to be packed.


Shared Native Libraries (.dll, .so, .dylib containing jars)jlibtorrent-android-arm-1.2.11.0.jar 2.36 MBjlibtorrent-android-arm64-1.2.11.0.jar 2.42 MBjlibtorrent-android-x86-1.2.11.0.jar 2.72 MBjlibtorrent-android-x86_64-1.2.11.0.jar 2.7 MBjlibtorrent-linux-1.2.11.0.jar 5.67 MBjlibtorrent-macosx-1.2.11.0.jar 2.22 MBjlibtorrent-windows-1.2.11.0.jar 4.67 MBCHANGELOG1.2.11.0 * New TorrentHandle.inSession() [blocking method, do not use in main UI threads] * New ability for SessionManager to build a paused session * New SessionManager.start(SessionParams, session_flags_t) * New SessionHandle.PAUSED (session_flag_t) and corresponding unit tests * Removed TorrentStatus::State::ALLOCATING enum * Removed torrent_status.state_t.unused_enum_for_backwards_compatibility_allocating * libtorrent 1.2.11.0 update (471e772cb7038f1bf5f44c32a09eb42fbb80ee99) * lt: upgraded to openssl 1.1.1l * lt: fix issue with moving the session object * lt: deprecate torrent_status::allocating. This state is no longer used * lt: fix bug creating torrents with symbolic links * lt: remove special case to save metadata in resume data unconditionally when added throught magnet link * lt: fix bugs in mutable-torrent support (reusing identical files from different torrents) * lt: fix incorrectly inlined move-assignment of file_storage * lt: add session::paused flag, and the ability to construct a session in paused mode * lt: fix session-pause causing tracker announces to fail * lt: fix peer-exchange flags bug * lt: allow saving resume data before metadata has been downloaded (for magnet links) * lt: record blocks in the disk queue as downloaded in the resume data * lt: fix bug in set_piece_deadline() when set in a zero-priority piece * lt: fix issue in URL parser, causing issues with certain tracker URLs * lt: use a different error code than host-unreachable, when skipping tracker announces


I looked in /usr/include and found only netlink/netlink.h. However the next include in the source file is rtnetlink.h which doesn't exist.Is this due to a missing dependency or perhaps a problem related to glibc/musl? How do you build libtorrent/rtorrent under Alpine Linux?I am aware there is an rtorrent package for Alpine but would rather prefer to build it myself, so I can customize the build options.


In order to compile some of the dependencies of Tribler, you will need Visual Studio 2015 which can be downloaded from here or here. You should select the community edition. Visual Studio ships with a command line interface that can be used for building some of the Python packages. Moreover, it provides a nice IDE which can be used to work on Python projects. After installation of Visual Studio, you should install the Visual C++ tools. This can be done from within Visual Studio by creating a new Visual C++ project. Visual Studio then gives an option to install the Visual C++ developer tools.


After installation, you should set an environment variable to let libtorrent know where Boost can be found. You can do this by going to Control Panel > System > Advanced > Environment Variables (more information about setting environment variables can be found here). Now add a variable named BOOST_ROOT and with the value of your Boost location. The default installation location for the Boost libraries is C:\\local\\boost_ where indicates the installed Boost version.


Next, you should build Boost.build. You can do this by opening the Visual Studio command prompt and navigating to your Boost libraries. Navigate to tools\\build and execute bootstrap.bat. This will create the b2.exe file. In order to invoke b2 from anywhere in your command line, you should add the Boost directory to your user PATH environment variable. After modifying your PATH, you should reopen your command prompt.


Now, download the libtorrent source code from GitHub and extract it. It is advised to compile version 1.0.8. Note that you if you have a 32-bit system, you can download the .msi installer so you do not have to compile libtorrent yourself. Open the Developer Command Prompt shipped with Visual Studio (not the regular command prompt) and navigate to the location where you extracted the libtorrent source. In the directory where the libtorrent source code is located, navigate to bindings\\python and build libtorrent by executing the following command (this takes a while so make sure to grab a coffee while waiting):


This command will build a static libtorrent 64-bit debug binary. You can also build a release binary by appending release to the command given above. After the build has been completed, the resulting libtorrent.pyd can be found in LIBTORRENT_SOURCE\\bindings\\python\\bin\\msvc-14\\debug\\address-model-64\\boost-source\\link-static\\ where LIBTORRENT_SOURCE indicates the directory with the libtorrent source files. Copy libtorrent.pyd to your site-packages location (the default location is C:\\Python27\\Lib\\site-packages)


This command basically adds another location for the Python site-packages (the location where libtorrent-rasterbar is installed). This command should be executed since the location where brew installs the Python packages is not in sys.path. You can test whether libtorrent is correctly installed by executing:


libtorrent expose most parameters used in the bittorrent engine forcustomization through the settings_pack. This makes it possible totest and tweak the parameters for certain algorithms to make a clientthat fits a wide range of needs. From low memory embedded devices toservers seeding thousands of torrents. The default settings in libtorrentare tuned for an end-user bittorrent client running on a normal desktopcomputer.


libtorrent is instrumented with a number of counters and gauges you can haveaccess to via the session_stats_alert. To get a snapshot of the counters,call session::post_session_stats(). This call should be made periodically, withwhatever granularity you want:


Torrents that have been added to libtorrent will inevitably use up memory, evenwhen it's paused. A paused torrent will not use any peer connection objects orany send or receive buffers though. Any added torrent holds the entire .torrentfile in memory, it also remembers the entire list of peers that it's heard about(which can be fairly long unless it's capped). It also retains information aboutwhich blocks and pieces we have on disk, which can be significant for torrentswith many pieces.


The downside of removing them is that they will no longer be auto-managed. Pausedauto managed torrents are scraped periodically, to determine which torrents arein the greatest need of seeding, and libtorrent will prioritize to seed those.


You can make libtorrent explicitly set the kernel buffer sizes of all its peersockets. If you set this to a low number, you may see reduced throughput, especiallyfor high latency connections. It is however an opportunity to save memory perconnection, and might be worth considering if you have a very large number ofpeer connections. This memory will not be visible in your process, this setsthe amount of kernel memory is used for your sockets. 2ff7e9595c


 
 
 

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