Pathfinding and terrain analysis library for Starcraft 2 bot api in Rust

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

You will need Python 3.7 or newer.

You will need to install the latest Rust:

https://rustup.rs/

Clone the sc2-pathlib repository and run cargo build --release in the sc2-pathlib directory. This should create a libsc2pathlib.so(Linux), a sc2pathlib.dll(Windows), or a libsc2pathlib.dylib file in sc2-pathlib\target\release. If on Windows, you need to rename the sc2pathlib.dll file to sc2pathlib.pyd. On Linux or Mac OS, rename it to sc2pathlib.so.

Alternatively, you can run helper scripts:

• build.bat on Windows
• linux_build.sh on Linux
• mac_build.sh on Mac OS

Copy sc2pathlib.so/sc2pathlib.pyd to the directory where your Python program resides to be able to import it as a Python library.

>>> import sc2pathlib
>>> pf = sc2pathlib.PathFind([[1,1,1,1],[0,0,0,1],[1,1,0,1],[1,1,1,1]])
>>> pf.find_path((0, 0), (2, 0))

([(0, 0), (0, 1), (0, 2), (0, 3), (1, 3), (2, 3), (3, 3), (3, 2), (3, 1), (2, 0)], 9.414199829101562)
>>>

grid: A two-dimensional array using 1 for pathable and 0 for obstacles. Example: [[1,1,1,1],[0,0,0,1],[1,1,0,1],[1,1,1,1]]

Uses A* pathfinding algorithm and returns a tuple containing the path as an array of tuples and the distance.

start: Tuple with the x and y value of the start position. end: Tuple with the x and y value of the end position. possible_heuristic: Optional parameter with value between 0-2. Lower value uses less accurate heuristic for distance calculation for improved performance.

Same function as above but uses influence to calculate path and return influenced distance.

The same as find_path.