e00c02e1761f239a02e4986475d1d5a56f4e14f3
Feature/positional container
Pathfinding demo
This is a demo of pathfinding on a 2D grid. It consists of 2 main parts:
- python notes and implementation
- jupyter notebook file
- standalone python script
- C++ interactive demo
Python
Standalone script
Run python pathfinding_demo.py. Requires numpy and matplotlib to be installed.
Jupyter notebook
Contains the same demo as the standalone script and some notes. Since Github supports Jupyter Notebooks now, you can go directly to the file.
C++
Windows
Dependencies
vcpkgneeds to be installed andVCPKG_ROOTset. See the installation instructions.- Visual Studio with Desktop development with C++ workload (or MSVC Build Tools)
Build - option 1: CLI
Run "Developer Command Prompt for VS 20xx":
cmake --preset=vcpkg
cmake --build build
Run the pathfinding.exe binary in the build folder.
Build - option 2: Visual Studio
TODO
Linux
Dependencies
- SDL3
- SDL3-image
- GLEW
- gtest
e.g. on Archlinux:
pacman -S glew sdl3 sdl3_image gtest
Optional dependencies for generating class and include diagrams:
- plantuml
- clang-uml
clang-uml needs to be either installed from AUR or built manually
Build
cmake -B build
cmake --build build -j 16
Optionally you can also use options:
-DCMAKE_EXPORT_COMPILE_COMMANDS=ONto enable compile database export (needed for class diagram generation)-DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++to use clang
cmake -B build -DCMAKE_EXPORT_COMPILE_COMMANDS=O -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++
Run the pathfinding binary in the build folder.
Generate architecture diagrams
Build with -DCMAKE_EXPORT_COMPILE_COMMANDS=ON. Then in the root folder run:
clang-uml
plantuml -tsvg docs/diagrams/*.puml
The resulting svg files are located in docs/diagrams/.
Description
Languages
C++
58.4%
Jupyter Notebook
31.5%
Python
6.8%
CMake
3.2%
Shell
0.1%
