Skip to main content

A combat simulator

Project description

CombatWiz is a combat simulation intended to determine the victory probabilities
of combatants using Monte Carlo simulation methods.

Current Status: Allows combat between two sides, and produces simple output.

#Next Steps:

* Creature editor
* Graphical output
* Map-awareness in which only one object can occupy a block
* Missile weapons
* Intelligent manuevering
* Surrender, Panic, Fleeing
* Changing weapons
* Multiple attacks per round
* Special effect attacks

#Its objectives include:

* run on linux or mac
* web front-end
* run multiple scenarios (each many times) to determine best tactics

#Example Run:

$ combatwiz_runner.py --charid1 3 --charid2 2 --charid3 4 --iterations 1000 --charfile data/characters.csv

char1
----------------------------------------------------------------
charid: char1 side: side-2
critid: 2 name: orc_chieftain
hd: 2 hp: 13
ac: 7 race: orc
class1: monster class1_level: 0
attack1_thaco: 18 attack1_damage: 2-9
vision: Infra-6 move: 12

char3
----------------------------------------------------------------
charid: char3 side: side-2
critid: 4 name: giant
hd: 0 hp: 50
ac: 4 race: giant
class1: monster class1_level: 10
attack1_thaco: 6 attack1_damage: 11-20
vision: standard move: 12

char2
----------------------------------------------------------------
charid: char2 side: side-1
critid: 3 name: paladin
hd: 0 hp: 86
ac: -3 race: human
class1: paladin class1_level: 8
attack1_thaco: 10 attack1_damage: 10-17
vision: standard move: 8
----------------------------------------------------------------

For: paladin
Games: 1000
Total Wins: 740
Total Damage Taken: 31247
Total Rounds Required: 4995
Mean Rounds Required: 6.8
Percentage of Wins: 74
Mean PCT HP Taken: 49%

For: orc_chieftain
Games: 1000
Total Wins: 7
Total Damage Taken: 10
Total Rounds Required: 45
Mean Rounds Required: 6.4
Percentage of Wins: 0
Mean PCT HP Taken: 11%

For: giant
Games: 1000
Total Wins: 260
Total Damage Taken: 6884
Total Rounds Required: 2069
Mean Rounds Required: 8.0
Percentage of Wins: 26
Mean PCT HP Taken: 52%


#Installation

* Using [pip](http://www.pip-installer.org/en/latest/) (preferred) or [easyinstall](http://peak.telecommunity.com/DevCenter/EasyInstall):

~~~
TBD
~~~

* Or install manually from [pypi]:

~~~
TBD
~~~


#Dependencies

* Python 2.6 or Python 2.7



#Licensing

* Gristle uses the BSD license - see the separate LICENSE file for further
information


#Copyright

* Copyright 2013 Ben Farmer, Ken Farmer

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
CombatWiz-0.12.tar.gz (9.5 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page