![]() ![]() "_enable_ownership": ai_strategy in ,Īdded "ai2gtp.py 14k" as an engine in Sabaki settings (see bot_strategies enumeration in settings.py). I had katago installed via homebrew (brew install katago).Ĭloned and edited the configuration a bit in ai2gtp.py:.That would be cool, to make it more human-like. I think I saw some ideas on how to reduce it in some issue thread. I guess this randomness is inevitable because of your current move selection algorithm. The 14k configuration is extremely tenuki-happy, but does seem to work at the advertised strength. Do you have any ideas for possible ways to tune down katago in standard GTP mode (beyond visits, which is not enough as you pointed out)? Or would you consider releasing a GTP wrapper that just implements your rank-calibrated mode? I mainly use Sabaki on my Mac, because its UI works best for me.Įdit: people seem to run rank-calibrated katrain bots on OGS, so perhaps that mode is accessible via GTP already somehow? Sorry if I am missing something obvious, but I cannot find the documentation for that.Įdit2: Ah, I guess this is the place to start looking: I just wish there were some easy setup instructions in Readme for using with a client like Sabaki.Įdit3: I managed to set it up locally. If you would like to see a donation link for the application here, please include one in the AppStream data.Thanks for your work on Katrain, it is a really great idea! You seem to use katago in analyze mode in Katrain, and select sub-optimal moves at your app level. You can specify the URL to a nicer one by shipping an AppStream metainfo file. The screenshot for Sabaki has been automatically taken during a fully automated test. There is an online tool that makes it easy to make one. Improve this entry by shipping an AppStream metainfo file inside the AppImage in the usr/share/metainfo directory. Tools like appimagetool and linuxdeployqt can do this for you easily. zsync file so that it can be updated using AppImageUpdate. Please consider to add update information to the Sabaki AppImage and ship a. Pro Tips for further enhancing the Sabaki AppImage Great! Here are some ideas on how to make it even better. Thanks for distributing Sabaki in the AppImage format for all common Linux distributions. ![]() ![]() If you would like to have the executable bit set automatically, and would like to see Sabaki and other AppImages integrated into the system (menus, icons, file type associations, etc.), then you may want to check the optional appimaged daemon. If you would like to update to a new version, simply download the new Sabaki AppImage. ![]() This is entirely optional and currently needs to be configured by the user. If you want to restrict what Sabaki can do on your system, you can run the AppImage in a sandbox like Firejail. Then double-click the AppImage in the file manager to open it. Use at your own risk!ĭownload the Sabaki AppImage and make it executable using your file manager or by entering the following commands in a terminal: Follow these instructions only if you trust the developer of the software. This is a Linux security feature.īehold! AppImages are usually not verified by others. However, they need to be marked as executable before they can be run. Unlike other applications, AppImages do not need to be installed before they can be used. Running Sabaki on Linux without installation Most AppImages run on recent versions of Arch Linux, CentOS, Debian, Fedora, openSUSE, Red Hat, Ubuntu, and other common desktop distributions. No system libraries or system preferences are altered. Download an application, make it executable, and run! No need to install. Awesome!ĪppImages are single-file applications that run on most Linux distributions. Sabaki is available as an AppImage which means "one app = one file", which you can download and run on your Linux system while you don't need a package manager and nothing gets changed in your system. An elegant Go/Baduk/Weiqi board and SGF editor for a more civilized age. ![]()
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