This is a fork of SabberStone which you can see the original repo information for below. I also use the AlphaGo algorithm here:

https://github.com/AppliedDataSciencePartners/DeepReinforcementLearning

• Pythonnet (allows us to use the c# SabberStoneCore Hearthstone simulator in python so we can apply machine learning with tensorflow)
• Python (runs pythonnet/tensorflow)
• Tensorflow (Deep Learning)
• C# (SabberStone Core)

1. Build the C# .sln which will build SabberStoneCore and the C# Wrapper I made to work with the AlphaGo Framework - If you get an error about System.Memory later on it's because NuGet either forgets to add the reference or includes the wrong version - Right click project->Manage Nuget Packages for both SabberStoneCore and SabberstonePythonPort and uninstall System.Memory. Then reinstall it in both project and make sure the versions match. Clean Solution and Rebuild.

   • I think it's also because SabberStoneCore uses .NetStandard and SabberStonePythonPort has to be .NetFramework to work with Pythonnet and there are still bugs in the exchange. This also causes "Engine Failure Exception" which is unfortunate because randomly the program just gets stuck... trying to figure that out.

2. Open command line and run "python main.py" - If a package ("Could not find module/package blah") is missing "python -m pip install [package]"

Massive changes and updates are applied! Please check the Changelog: https://github.com/HearthSim/SabberStone/wiki/Changelog

State of Implementation: 98% (Rise of Shadows 94%, Rastakhan's Rumble 95%, The Boomsday Project 98%, The Witchwood 99%) of current Standard Cards (Year of the Dragon)! (23.07.2019)

SabberStone is just another Hearthstone simulator and implementation, written in C#. The project was started in Nov'16 while trying to implement aura, buffs & triggers into Brimstone. Focused to prototype my so called onion system I created SabberStone, which is using a layer approach to handle entity changing enchantments. Since then I haven't stopped implementing day by day new cards, new tests and new stuff. I created for fun a visualisation and a scoring based tree search a.i. which can be used to play games (SabberStoneGui).

By now this is a one man show, but there is still a lot of work to do, so any help is appreciated. The base code of Brimstone was a great inspiration for this project. Big thanks to @Pattux, @Patashu for helping on hearthstone super science problems ^^ thx @Katy for inspiration. And thx a lot to @Citiral, @BertP for working out on the stove implementation. And thx to @Milva who did a refactoring on the aura & enchantment system, with great value and is working hard for this project! You're welcome!

Join us on Discord!

Sabberstone Simulator has an own visualisation and client/server architecture for AI research!

• SabberStoneCore (.NET Core)

  Core simulator engine, all the functions needed for the simulator are in here. Check out the Wiki Link for informations about the core and how to use it.

• SabberStoneCoreTest (.NET Core)

  UnitTest for the simulator, there is a generated test for each card in the current game.

• SabberStoneCoreConsole (.NET Core)

  A test project to run simple codeline based games to test outcome.

• SabberStoneBasicAI (.NET Core)

  A test project to run A.I. simulations with predefinied decks and strategys.

• (deprectated)SabberStoneGui (.NET Framework) (This is currently reworked in a Unity3D GUI Client with a GameServer)

  A test project that shows off a visual implementation of the SimpleAi project. This is probably where beginners should start looking at. There is a simple GUI which allows different decks to play against each other with different strategys. Check out the Wiki Link for informations about the use of SimpleUi.

Basic & Classic

• 100% Basic (142 Cards)
• 100%% Classic (245 Cards)
• 87% Hall of Fame (24 Cards)

Adventures

• 100% Blackrock Mountain (31 Cards)
• 100% One Night in Karazhan (45 Cards)
• 68% The League of Explorers (45 Cards) (needs to be upgraded to new system)

Expensions

• 94% Rise of Shadows (136 Cards)

• 96% Rastakhan's Rumble (135 Cards)

• 98% The Boomsday Project (136 Cards)

• 99% The Witchwood (129 Cards)

• 100% Kobolds and Catacombs (135 Cards)

• 100% Knights of the Frozen Throne (135 Cards)

• 100% Journey to Un'Goro (135 cards)

• 93% The Grand Tournament (132 Cards) (needs to be upgraded to new system)

• 100% Whispers of the Old Gods (134 Cards)

• 100% Mean Streets of Gadgetzan (132 Cards)

• 80% Goblins vs Gnomes (123 cards)

• 100% Curse of Naxxramas (30 cards)

Not Implemented Standard Cards

• [DAL_377] Nine Lives
• [DAL_431] Swampqueen Hagatha
• [DAL_573] Commander Rhyssa
• [DAL_729] Madame Lazul
• [DAL_731] Duel!
• [DAL_742] Whirlwind Tempest
• [DAL_800] Zayle, Shadow Cloak

• [TRL_318] Hex Lord Malacrass
• [TRL_345] Krag'wa, the Frog
• [TRL_522] Wartbringer
• [TRL_532] Mosh'Ogg Announcer
• [TRL_535] Snapjaw Shellfighter

• [BOT_436] Prismatic Lens
• [BOT_914] Whizbang the Wonderful

• [GIL_655] Festeroot Hulk

(Standard is beeing prioritized.)

• Windows, macOS or Linux
  • Visual Studio 2017 RC or Visual Studio Code for best .NET Core support
  • .NET Core

• tbd

• Wiki Link
• SabberStoneBasicAI Link
• Unity3D GUI Client & GameServer Link

SabberStone is licensed under the terms of the Affero GPLv3 or any later version.

SabberStone is being developed by darkfriend77 (darkfriend@swissonline.ch)

• SabberStone on Discord .. come and talk with us!
• SabberStone on Reddit
• SabberStone is a HearthSim project!