https://github.com/willcrichton/awap

#startuptycoon
https://github.com/willcrichton/awap

Last synced: 23 days ago
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#startuptycoon

• Host: GitHub
• URL: https://github.com/willcrichton/awap
• Owner: willcrichton
• Created: 2014-05-02T20:15:54.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2015-11-05T00:17:36.000Z (about 9 years ago)
• Last Synced: 2024-10-22T11:36:04.475Z (2 months ago)
• Language: Python
• Homepage: http://acmalgo.com
• Size: 4.24 MB
• Stars: 0
• Watchers: 9
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# Startup Tycoon

## Setup

1. If you're running Windows, install [Cygwin](http://cygwin.com/install.html). As a part of the installation, select `git` and `python` as packages to install. Boot Cygwin and proceed to step 2. If you're not on Windows, open a terminal.

2. Install [pip](http://pip.readthedocs.org/en/stable/installing/) if you do not already have it.

3. Follow these instructions:

```

sudo pip install virtualenv

git clone [email protected]:willcrichton/awap-2015.git

cd awap-2015

virtualenv venv

source venv/bin/activate

pip install -r requirements.txt

```

## Exploring the code

You should look at the following files:

* `src/game/player.py` - You will implement your algorithm here.

* `src/game/base_player.py` - Utilities for the Player class.

* `src/game/state.py` - All the state maintained for the game.

* `src/game/order.py` - Representation of orders in the game.

* `src/game/settings.py` - Constants used in the game.

* `src/game/graphs.py` - Functions for generating graphs.

You don't need to look at any other files.

The graphs used in the code are NetworkX graphs. Some useful links:

* [Short tutorial](http://networkx.lanl.gov/networkx_tutorial.pdf)

* [Full documentation](https://networkx.github.io/documentation/latest/)

## Running the code

To run your algorithm quickly with no visuals, do

```

./run.sh shell

```

To step through your algorithm and see it work, do

```

./run.sh web

```

Then visit [http://localhost:5000](http://localhost:5000) in your browser.

## Submitting for the competition

To submit your algorithm for scoring, go to Autolab: [https://autolab.cs.cmu.edu/courses/15097-f15/assessments/awapcompetition](https://autolab.cs.cmu.edu/courses/15097-f15/assessments/awapcompetition)

Then click "Submit File" and upload `src/game/player.py`. Do not upload anything else (e.g. a zip/tar file, a different Python file, etc.). Your Autolab submission history will now have a new entry. If your score is -1, then your code did not compile or run correctly. Click on your score to see the error logs. Note that **you can only import from src/game/ or the Python 2.7 standard library**. You cannot use any custom packages besides networkx.

Submissions are closed at 7:00pm. Please submit your final bot early (like 6pm) to ensure that it works on our servers--the queue times will grow as we get close to 7:00pm.