An implementation of Alex Randolph's game Ricochet Robots
Project description
RicochetRobots
A simple implementation of Alex Randolph's board game Ricochet Robots including solver.
Compile
Compile the Java code with the command:
mkdir --parents bin
javac -classpath java/lib/commons-cli-1.3.1.jar \
-d bin \
java/src/info/riemannhypothesis/ricochetrobots/*.java
Run
To run, type
./solve.sh -b <board> -g
This will place four robots in random positions on the board, pick one of the targets and one of the robots to reach it, try to find a solution (within the move and time contraints specified), and then give a graphical representation of the moves.
E.g., if you want to solve the board 3 in the repository, simply run
./solve.sh -b boards/3.txt -g
For a full description of all available command line options, simply type
./solve.sh
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file ricochet-robots-0.0.0.tar.gz.
File metadata
- Download URL: ricochet-robots-0.0.0.tar.gz
- Upload date:
- Size: 3.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a4949aad69457c6b617900ea45501f53effecd5b6c8f02f4e57fcf2412f392e0
|
|
| MD5 |
062a502de14c15379e5a6ca5d53fcb04
|
|
| BLAKE2b-256 |
6870ec0feba74616ea22063ddf2c18a1b9119de3d6ab1f6a4e456f2a2499246e
|
File details
Details for the file ricochet_robots-0.0.0-py2.py3-none-any.whl.
File metadata
- Download URL: ricochet_robots-0.0.0-py2.py3-none-any.whl
- Upload date:
- Size: 3.1 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7df0c826457f463467dff064a859f710e553d36f1582026c65099d8071e17b1e
|
|
| MD5 |
ad0e8aa2e5ad2494bc00edd93abef9f7
|
|
| BLAKE2b-256 |
7a0f3cfda6de4dc95f4827b8199b203477790749a465c9a1d4e3b2c97c176cc4
|