linqs-pacai


Namelinqs-pacai JSON
Version 1.3.0 PyPI version JSON
download
home_pageNone
SummaryA modified version of the Pacman educational project from the Berkley AI Lab.
upload_time2024-08-09 22:40:58
maintainerNone
docs_urlNone
authorNone
requires_python>=3.8
license## Pacman ### Licensing Information Do not distribute or publish solutions to this project. You are free to use and extend these projects for educational purposes provided that: 1. You do not distribute or publish solutions. 2. You retain this notice. 3. You provide clear attribution to UC Berkeley, including a link to http://ai.berkeley.edu. 3. You provide clear attribution to the LINQS lab, including a link to this repository: https://github.com/linqs. The Pacman AI projects were developed at UC Berkeley, primarily by John DeNero (denero@cs.berkeley.edu) and Dan Klein (klein@cs.berkeley.edu). For more info, see http://ai.berkeley.edu/project_overview.html. ### Modifications All of these files have since been modified (sometimes heavily) by the [LINQS Machine Learning Lab](http://www.linqs.org).
keywords ai artificial intelligence education teaching
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI
coveralls test coverage No coveralls.
            # Pacman

A modified version of the Pacman educational project from the [Berkeley AI Lab](http://ai.berkeley.edu/project_overview.html).

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](https://tkdocs.com/tutorial/install.html).

**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](https://docs.github.com/en/repositories/creating-and-managing-repositories/creating-a-repository-from-a-template).
For anyone else, you can just [fork it](https://help.github.com/en/articles/fork-a-repo) 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).

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "linqs-pacai",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.8",
    "maintainer_email": null,
    "keywords": "AI, Artificial Intelligence, Education, Teaching",
    "author": null,
    "author_email": "Eriq Augustine <eaugusti@ucsc.edu>, LINQS <linqs.edu@gmail.com>",
    "download_url": "https://files.pythonhosted.org/packages/ef/72/3951e1fd3924528b6288c78591b613f9bd3f1a91cdf13a7eca4a5afa2747/linqs_pacai-1.3.0.tar.gz",
    "platform": null,
    "description": "# Pacman\n\nA modified version of the Pacman educational project from the [Berkeley AI Lab](http://ai.berkeley.edu/project_overview.html).\n\nSome improvements from the original project:\n - Upgraded to Python 3.\n - Organized into packages.\n - Brought up to a common style.\n - Added logging.\n - Added tests.\n - Fixed several bugs.\n - Generalized and reorganized several project elements.\n - Replaced the graphics systems.\n - Added the ability to generate gifs from any pacman or capture game.\n\n## FAQ\n\n**Q:** What version of Python does this project support?  \n**A:** Python >= 3.8.\nThe original version of this project was written for Python 2, but it has since been updated.\n\n**Q:** What dependencies do I need for this project?  \n**A:** This project has very limited dependencies.\nThe pure Python dependencies can be installed via pip and are all listed in the requirements file.\nThese can be installed via: `pip3 install --user -r requirements.txt`.\nTo use a GUI, you also need `Tk` installed.\nThe process for installing Tk differs depending on your OS, instructions can be found [here](https://tkdocs.com/tutorial/install.html).\n\n**Q:** How do I run this project?  \n**A:** All the binary/executables for this project are located in the `pacai.bin` package.\nYou can invoke them from this repository's root directory (where this file is located) using a command like:\n```\npython3 -m pacai.bin.pacman\n```\n\n**Q:** What's with the `student` package?  \n**A:** The `student` package is for the files that students will edit to complete assignments.\nWhen an assignment is graded, all files will be placed in the `student` package.\nThe rest will be supplied by the autograder.\nThis makes it clear to the student what files they are allowed to change.\n\n**Q:** How do I get my own copy of repo to develop on?  \n**A:** Anyone who will be committing solutions should use this template repository to create a **private repository**.\nDirections for that can be found [here](https://docs.github.com/en/repositories/creating-and-managing-repositories/creating-a-repository-from-a-template).\nFor anyone else, you can just [fork it](https://help.github.com/en/articles/fork-a-repo) as you normally would.\n\n## Pulling Changes from This Repo Into Your Fork\n\nOccasionally, you may need to pull changes/fixes from this repository.\nDoing so is super easy.\nJust go to your default branch and do a `git pull` command with this repository as an argument:\n```\ngit pull https://github.com/linqs/pacman.git\n```\n\n## Acknowledgements\n\nThis project has been built up from the work of many people.\nHere are just a few that we know about:\n - The Berkley AI Lab for starting this project. Primarily John Denero and Dan Klein.\n - Barak Michener for providing the original graphics and debugging help.\n - Ed Karuna for providing the original graphics and debugging help.\n - Jeremy Cowles for implementing an initial tournament infrastructure.\n - LiveWires for providing some code from a Pacman implementation (used / modified with permission).\n - The LINQS lab from UCSC.\n - Graduates of the CMPS 140 class who have helped pave the way for future classes (their identities are immortalized in the git history).\n",
    "bugtrack_url": null,
    "license": "## Pacman  ### Licensing Information Do not distribute or publish solutions to this project. You are free to use and extend these projects for educational purposes provided that: 1. You do not distribute or publish solutions. 2. You retain this notice. 3. You provide clear attribution to UC Berkeley, including a link to http://ai.berkeley.edu. 3. You provide clear attribution to the LINQS lab, including a link to this repository: https://github.com/linqs.  The Pacman AI projects were developed at UC Berkeley, primarily by John DeNero (denero@cs.berkeley.edu) and Dan Klein (klein@cs.berkeley.edu). For more info, see http://ai.berkeley.edu/project_overview.html.  ### Modifications All of these files have since been modified (sometimes heavily) by the [LINQS Machine Learning Lab](http://www.linqs.org). ",
    "summary": "A modified version of the Pacman educational project from the Berkley AI Lab.",
    "version": "1.3.0",
    "project_urls": {
        "Homepage": "https://github.com/linqs/pacman",
        "Repository": "https://github.com/linqs/pacman"
    },
    "split_keywords": [
        "ai",
        " artificial intelligence",
        " education",
        " teaching"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "b988b32809ce9d998ce5d620da4ada52062932f4330d602bc452cbcf0dc4a20c",
                "md5": "58646e0c1242b9439af387c680730400",
                "sha256": "e991027bae6f23ff11aee30018f3a73269fb4fe2eacb6cf74b120ed8f608a196"
            },
            "downloads": -1,
            "filename": "linqs_pacai-1.3.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "58646e0c1242b9439af387c680730400",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.8",
            "size": 109434,
            "upload_time": "2024-08-09T22:40:56",
            "upload_time_iso_8601": "2024-08-09T22:40:56.363293Z",
            "url": "https://files.pythonhosted.org/packages/b9/88/b32809ce9d998ce5d620da4ada52062932f4330d602bc452cbcf0dc4a20c/linqs_pacai-1.3.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "ef723951e1fd3924528b6288c78591b613f9bd3f1a91cdf13a7eca4a5afa2747",
                "md5": "009228e8501ae857bda5dadf17fb034c",
                "sha256": "b05589c524ab8fb44925887a5f2b8eee369230840f409c85eb6841a1611201fa"
            },
            "downloads": -1,
            "filename": "linqs_pacai-1.3.0.tar.gz",
            "has_sig": false,
            "md5_digest": "009228e8501ae857bda5dadf17fb034c",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8",
            "size": 82292,
            "upload_time": "2024-08-09T22:40:58",
            "upload_time_iso_8601": "2024-08-09T22:40:58.490740Z",
            "url": "https://files.pythonhosted.org/packages/ef/72/3951e1fd3924528b6288c78591b613f9bd3f1a91cdf13a7eca4a5afa2747/linqs_pacai-1.3.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-08-09 22:40:58",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "linqs",
    "github_project": "pacman",
    "travis_ci": true,
    "coveralls": false,
    "github_actions": true,
    "requirements": [],
    "lcname": "linqs-pacai"
}
        
Elapsed time: 1.27319s