Is there a way to get the current board state of an active OGS game from the API instead of just the sequence of moves played?

[shinuito]

I’m not really sure.

It looks like some people tried to collect some resources though

GitHub - waltheri/go-libraries

There’s probably a bunch of random bits of python code though that people have made

deep_learning_and_the_game_of_go/code/dlgo/goboard_fast.py at master · maxpumperla/deep_learning_and_the_game_of_go · GitHub from GitHub - maxpumperla/deep_learning_and_the_game_of_go: Code and other material for the book "Deep Learning and the Game of Go"

is in python I believe.

I think deepmind was supposed to have some C++ libraries for games GitHub - google-deepmind/open_spiel: OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games. with some code open_spiel/open_spiel/games/go at master · google-deepmind/open_spiel · GitHub

The core API and games are implemented in C++ and exposed to Python. Algorithms and tools are written both in C++ and Python.

I must’ve tried googling for things before:

I want Create a Go board in python

I made a very simple Go board in Processing before. It has both a java and python scripting language Overview \ Processing.org . It just does everything in a main while loop and it’s pretty easy to draw graphics to the screen. Other than that I guess to just make a “Go board” you just need some lists or arrays and few functions to update the elements of the arrays, whether with a mouse click or with user input from a terminal for example. It can be a bit more complicated to implement a superko…