python27, numpy, pysdl2 and some of the libraries it uses (SDL2, SDL2_ttf, SDL2_mixer, SDL2_image)

I tested it on Linux, Windows and Mac, so as long as you have the libraries installed, there should be no problem.

The game:

You're the Good Green Blob who tries to survive being chased by the Evil Red Pathogen (ERP). You can move jumping from cell to cell through the channels that connect them by clicking on the cell you want to jump to. Whenever you move, a channel is consumed (unless you're using a power-up). You gain points by removing channels.  

You can use a power-up whenever you have consumed two or three channels in a row. The difference between the two is, the first powerup leaves the number of channels intact, and the second powerup creates a new channel, actually subtracting points from you.  (Another thing that subtracts points is every time the ERP consumes a channel). Regardless, you'll find sometimes it will be preferable to choose that second power-up, even if it will end up taking away points from you. The longer the channel, the more points get added or subtracted. Oh, I almost forgot! you can activate either power-up by hitting enter or space.

The ERP only has one power-up: it can jump to any cell once it has consumed three channels.

The easiest way to die is by being on the same cell as the ERP, either because it landed on your cell or you landed on its. Another way to die is by running out of points. 

You finish a level successfully whenever you and the ERP can't move anymore. Notice, though, that the level doesn't end until it ends... if you can move, you must move. 

Running the game:

From the same directory where is, you can run the game either by typing:



python bokeh

The license:

The game is being released under the MIT license.


Give this entry an award


Ratings (show detail)

Overall: 4
Fun: 3.4
Production: 4.4
Innovation: 4.2

44% respondents marked the game as not working.
Respondents: 5


File Size Uploader Date
Only added the README file which was missing, and licence headers to the sources.
17.4 MB Gato 2017/02/26 20:10
Final submission.
17.3 MB Gato 2017/02/26 10:56
1000.0 KB Gato 2017/02/25 10:40