nshogi is a comprehensive shogi library that allows you to manipulate game states, determine the next state from a given move and state, and generate all legal moves for a given state, and more. Additionally, nshogi provides essential functionalities for machine learning, such as creating feature vectors for AlphaZero's neural network from a given state.
- GNU Make
- g++ or clang++
- (optional) for Python module
- python3
- pybind11
Type make [CXX=<CXX>] [<SSE INSTRUCTION>=1] [PREFIX=<PREFIX>] install in your terminal, where:
<CXX>is a C++ compiler.<SSE INSTRUCTION>is one of the {SSE, SSE41, SSE42, AVX, AVX2}, depends on the instructions your CPU supports.<PREFIX>is in which directory the library will be installed. The default value is/usr/local.
Type make [CXX=<CXX>] [<SSE INSTRUCTION>=1] install-python in your terminal, where:
<CXX>is a C++ compiler.<SSE INSTRUCTION>is one of the {SSE, SSE41, SSE42, AVX, AVX2}, depends on the instructions your CPU supports.
Type make [CXX=<CXX>] [<SSE INSTRUCTION>=1] [PREFIX=<PREFIX>] runtest-{static|shared} in your terminal, where:
<CXX>is a C++ compiler.<SSE INSTRUCTION>is one of the {SSE, SSE41, SSE42, AVX, AVX2}, depends on the instructions your CPU supports.<PREFIX>is in which directory the library will be installed. The default value is/usr/local.- runtest-static target will test the static library, and runtest-shared target will test the shared library.
Under construction.
This repository is released under the MIT License.
This repository includes some resources in the res/ directory that are sourced from やねうら王公式からクリスマスプレゼントに詰将棋500万問を謹呈.
These data files are proveded under their own terms and are not subject to the MIT License.
For more details, please refer to res/README.md.