fenrir-wolfpack-simulation
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Fenrir is an assistant to prognosticate the future of a wolfpack using vanilla Javascript and data structures.
111 lines (91 loc) • 4.58 kB
JavaScript
class regularEvents{
static distributeFood(meatAmount){
if(dominanceTree.Peek()!=null)
{
let currWolf=dominanceTree.Pop();
if(meatAmount>=(meatToReproduce*wolves.length/4)){//if quarter of the pack can be fed with meat to reproduce, they will eat this amount
meatAmount-=meatToReproduce;
currWolf.definitiveFields.hunger=0;
simulationLogs.push(new simulationLog(currentDate,"Feeding","The wolf id:"+currWolf.structuralFields.id+" has got fed fully"));
}
else if(meatAmount>=meatToSurvive){
meatAmount-=meatToSurvive;
currWolf.definitiveFields.hunger=50;
simulationLogs.push(new simulationLog(currentDate,"Feeding","The wolf id:"+currWolf.structuralFields.id+" has got fed half"));
}
else{
currWolf.definitiveFields.hunger=100;
simulationLogs.push(new simulationLog(currentDate,"Feeding","The wolf id:"+currWolf.structuralFields.id+" is starving."));
}
}
}
static hunt(){
if(currentPreyScoutStatus)
{simulationLogs.push(new simulationLog(currentDate,"Hunt", "Wolf pack is on the prowl according to their scout activity findings."));
if(currentPreyCount>=1){
simulationLogs.push(new simulationLog(currentDate,"Hunt", "Wolf pack has found the prey/prey group. Engaging now."));
//console.log("in the hunt hunt chance:"+calculateHuntSuccessChance());
if(chance.bool({likelihood: calculateHuntSuccessChance()})){
console.log("successful hunt");
currentPreyCount--;
let keys=Object.keys(meatAmounts);
let values=Object.values(meatAmounts);
simulationLogs.push(new simulationLog(currentDate,"Hunt/Engage", "The pack has successfully hunted the prey: "+environment.preyType));
for(let i=0;i<keys.length;i++){
if(environment.preyType===keys[i]){
return values[i];
}
}
}else{
simulationLogs.push(new simulationLog(currentDate,"Hunt/Engage", "The pack has failed to hunt the prey: "+environment.preyType));
}
}
else{
simulationLogs.push(new simulationLog(currentDate,"Hunt", "Wolf pack didn't find any prey."));
}
}
else
{
simulationLogs.push(new simulationLog(currentDate,"Hunt", "Wolf pack can't hunt because they didn't find any clue for prey during scouting."));
}
}
static triggerWeatherEvent(){
if(chance.bool({likelihood: 10})){
currentWeatherEvent=environment.climateBias.toLowerCase();
simulationLogs.push(new simulationLog(currentDate,"Climate Bias/Weather Event", "Today the environment is experiencing:"+currentWeatherEvent));
}else{
currentWeatherEvent="none";
simulationLogs.push(new simulationLog(currentDate,"Climate Bias/Weather Event", "Today the environment didn't experience any particular weather event"));
}
}
static scouting(){
let roll=chance.integer({min:0,max:100});//0 and 100 included in range
//%25 chance to encounter wildcard wolves.
//%75 chance to track and find preys
//%20 chance to encounter predators
if(chance.bool({likelihood:25})){
//wildcard wolf encounter
//to be implemented...
}else{
simulationLogs.push(new simulationLog(currentDate,"scouting", "wolf pack didn't encounter any wild wolves during scouting."));
}
if(chance.bool({likelihood:75})){
currentPreyScoutStatus=true;
}
else{
currentPreyScoutStatus=false;
simulationLogs.push(new simulationLog(currentDate,"scouting", "wolf pack didn't encounter any preys during scouting."));
}
if(chance.bool({likelihood:5})) {
//predator encounter
let num = chance.integer({min: 0, max: wolves.length});
wolves.splice(num, 1);//killing the wolf
simulationLogs.push(new simulationLog(currentDate,"Predator", "a wolf has been killed by the predator."));
}
else{
simulationLogs.push(new simulationLog(currentDate,"scouting", "wolf pack didn't encounter any predators during scouting."));
}
}
}
class conditionalEvents{
}