A modified version of the Pacman educational project from the Berkley AI Lab.
Project description
Pacman
A modified version of the Pacman educational project from the Berkeley AI Lab.
Some improvements from the original project:
- Upgraded to Python 3.
- Organized into packages.
- Brought up to a common style.
- Added logging.
- Added tests.
- Fixed several bugs.
- Generalized and reorganized several project elements.
- Replaced the graphics systems.
- Added the ability to generate gifs from any pacman or capture game.
FAQ
Q: What version of Python does this project support?
A: Python >= 3.8.
The original version of this project was written for Python 2, but it has since been updated.
Q: What dependencies do I need for this project?
A: This project has very limited dependencies.
The pure Python dependencies can be installed via pip and are all listed in the requirements file.
These can be installed via: pip3 install --user -r requirements.txt
.
To use a GUI, you also need Tk
installed.
The process for installing Tk differs depending on your OS, instructions can be found here.
Q: How do I run this project?
A: All the binary/executables for this project are located in the pacai.bin
package.
You can invoke them from this repository's root directory (where this file is located) using a command like:
python3 -m pacai.bin.pacman
Q: What's with the student
package?
A: The student
package is for the files that students will edit to complete assignments.
When an assignment is graded, all files will be placed in the student
package.
The rest will be supplied by the autograder.
This makes it clear to the student what files they are allowed to change.
Q: How do I get my own copy of repo to develop on?
A: Anyone who will be committing solutions should use this template repository to create a private repository.
Directions for that can be found here.
For anyone else, you can just fork it as you normally would.
Pulling Changes from This Repo Into Your Fork
Occasionally, you may need to pull changes/fixes from this repository.
Doing so is super easy.
Just go to your default branch and do a git pull
command with this repository as an argument:
git pull https://github.com/linqs/pacman.git
Acknowledgements
This project has been built up from the work of many people. Here are just a few that we know about:
- The Berkley AI Lab for starting this project. Primarily John Denero and Dan Klein.
- Barak Michener for providing the original graphics and debugging help.
- Ed Karuna for providing the original graphics and debugging help.
- Jeremy Cowles for implementing an initial tournament infrastructure.
- LiveWires for providing some code from a Pacman implementation (used / modified with permission).
- The LINQS lab from UCSC.
- Graduates of the CMPS 140 class who have helped pave the way for future classes (their identities are immortalized in the git history).
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
File details
Details for the file linqs_pacai-1.3.0.tar.gz
.
File metadata
- Download URL: linqs_pacai-1.3.0.tar.gz
- Upload date:
- Size: 82.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b05589c524ab8fb44925887a5f2b8eee369230840f409c85eb6841a1611201fa |
|
MD5 | 009228e8501ae857bda5dadf17fb034c |
|
BLAKE2b-256 | ef723951e1fd3924528b6288c78591b613f9bd3f1a91cdf13a7eca4a5afa2747 |
File details
Details for the file linqs_pacai-1.3.0-py3-none-any.whl
.
File metadata
- Download URL: linqs_pacai-1.3.0-py3-none-any.whl
- Upload date:
- Size: 109.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e991027bae6f23ff11aee30018f3a73269fb4fe2eacb6cf74b120ed8f608a196 |
|
MD5 | 58646e0c1242b9439af387c680730400 |
|
BLAKE2b-256 | b988b32809ce9d998ce5d620da4ada52062932f4330d602bc452cbcf0dc4a20c |