public void Update(DestinyHistoricalStatsValue?other)
{
if (other is null)
{
return;
}
if (StatId != other.StatId)
{
StatId = other.StatId;
OnPropertyChanged(nameof(StatId));
}
if (!Basic.DeepEquals(other.Basic))
{
Basic.Update(other.Basic);
OnPropertyChanged(nameof(Basic));
}
if (!Pga.DeepEquals(other.Pga))
{
Pga.Update(other.Pga);
OnPropertyChanged(nameof(Pga));
}
if (!Weighted.DeepEquals(other.Weighted))
{
Weighted.Update(other.Weighted);
OnPropertyChanged(nameof(Weighted));
}
if (ActivityId != other.ActivityId)
{
ActivityId = other.ActivityId;
OnPropertyChanged(nameof(ActivityId));
}
}
public override void OnRecv(Weighted <Int64> record, T time)
{
Int64[][] accum;
if (recentTimeValid && recentTime.Equals(time))
{
accum = recentAccum;
}
else
{
if (!accumulations.TryGetValue(time, out accum))
{
accum = new Int64[65536][];
accumulations.Add(time, accum);
this.ScheduleAt(time);
}
recentAccum = accum;
recentTime = time;
recentTimeValid = true;
}
var index = record.record / parts;
if (accum[index / 65536] == null)
{
accum[index / 65536] = new Int64[65536];
}
accum[index / 65536][index % 65536] += record.weight;
}
private static void TestRandomReverse(string display, List <double> pop, int iterations)
{
// Random Reverse test
int[] collectorINT = new int[pop.Count];
Console.WriteLine("\n- - -");
Console.WriteLine($">> {display} {String.Join(", ", pop)}");
for (int i = 0; i < iterations; i++)
{
int result = Weighted.RandomReverse(pop);
collectorINT[result]++;
}
// Eyeball test
int lowest = int.MaxValue;
foreach (var item in collectorINT)
{
lowest = Math.Min(lowest, item);
}
List <double> redacted = new List <double>();
int counter = 0;
foreach (var item in collectorINT)
{
redacted.Add(item / lowest + pop[counter]);
counter++;
}
Console.WriteLine(String.Join(", ", collectorINT));
Console.WriteLine(String.Join(", ", redacted));
}
public virtual void OnInput2(Weighted <S2> entry, T time)
{
var k = key2(entry.record);
BinaryKeyIndices state;
if (!keyIndices.TryGetValue(k, out state))
{
state = new BinaryKeyIndices();
}
if (state.unprocessed1 == 0 && state.unprocessed2 == 0)
{
if (!this.KeysToProcessAtTimes.ContainsKey(time))
{
this.KeysToProcessAtTimes.Add(time, new HashSet <K>());
}
this.KeysToProcessAtTimes[time].Add(k);
}
inputTrace2.Introduce(ref state.unprocessed2, value2(entry.record), entry.weight, internTable.Intern(time));
keyIndices[k] = state;
}
private SpawnPattern getRandomPattern()
{
Dictionary <int, float> weights = new Dictionary <int, float>();
weights.Add(0, 25f);
weights.Add(1, 5.0f);
weights.Add(2, 40f);
weights.Add(3, 30f);
var pick = Weighted.getWeightedPick(weights);
switch (pick)
{
case 0:
return(getDiagonalPattern());
case 1:
return(getLanePattern());
case 2:
return(getDumbPattern());
case 3:
return(getThickyLinePattern());
default:
return(null);
}
}
public bool Equals(DestinyHistoricalStatsValue input)
{
if (input == null)
{
return(false);
}
return
((
StatId == input.StatId ||
(StatId != null && StatId.Equals(input.StatId))
) &&
(
Basic == input.Basic ||
(Basic != null && Basic.Equals(input.Basic))
) &&
(
Pga == input.Pga ||
(Pga != null && Pga.Equals(input.Pga))
) &&
(
Weighted == input.Weighted ||
(Weighted != null && Weighted.Equals(input.Weighted))
) &&
(
ActivityId == input.ActivityId ||
(ActivityId.Equals(input.ActivityId))
));
}
public void Base_ConditionalProbability3()
{
var ex = from rain in new Bernoulli(0.2)
from sprinkler in new Bernoulli(0.2)
from w in new Bernoulli(0.05)
let wet = rain | sprinkler ? true : w
where wet
select Tuple.Create(rain, sprinkler);
var tmp1 = ex.Inference().Support().OrderBy(k => k.Value);
var result = new Weighted <Tuple <bool, bool> >[] {
new Weighted <Tuple <bool, bool> >()
{
Value = Tuple.Create(false, false), Probability = 0.08163265306122447
},
new Weighted <Tuple <bool, bool> >()
{
Value = Tuple.Create(false, true), Probability = 0.4081632653061224
},
new Weighted <Tuple <bool, bool> >()
{
Value = Tuple.Create(true, false), Probability = 0.4081632653061224
},
new Weighted <Tuple <bool, bool> >()
{
Value = Tuple.Create(true, true), Probability = 0.1020408163265306
},
};
foreach (var item in tmp1.Zip(result, Tuple.Create))
{
Assert.IsTrue(ApproxEqual(item.Item1.Probability, item.Item2.Probability));
}
}
public void Base_ConditionalProbability()
{
var ex = from a in new Bernoulli(0.1)
from b in new Bernoulli(0.1)
from c in new Bernoulli(0.1)
let d = Convert.ToInt32(a) + Convert.ToInt32(b) + Convert.ToInt32(c)
where d >= 2
select a;
var tmp1 = ex.Inference().Support().OrderBy(k => k.Value);
var tmp2 = ex.SampledInference(10000).Support().OrderBy(k => k.Value);
var result = new Weighted <bool>[] {
new Weighted <bool>()
{
Value = false, Probability = 0.3214285714285714
},
new Weighted <bool>()
{
Value = true, Probability = 0.6785714285714285
},
};
foreach (var item in tmp1.Zip(result, Tuple.Create))
{
Assert.IsTrue(ApproxEqual(item.Item1.Probability, item.Item2.Probability));
}
foreach (var item in tmp2.Zip(result, Tuple.Create))
{
Assert.IsTrue(ApproxEqual(item.Item1.Probability, item.Item2.Probability));
}
}
public static void TestBalance()
{
int listCount = 10;
int listSize = 2;
List <List <int> > collectionsList = new List <List <int> >();
List <int> controlCollectionOne = new List <int> {
3, 1
};
List <int> controlCollectionTwo = new List <int> {
2, 1
};
collectionsList.Add(controlCollectionOne);
collectionsList.Add(controlCollectionTwo);
Random rnd = new Random();
for (int countC = 0; countC < listCount - 3; countC++)
{
List <int> newCollection = new List <int>();
for (int countS = 0; countS < listSize; countS++)
{
newCollection.Add(rnd.Next(0, 11));
}
Console.WriteLine();
collectionsList.Add(newCollection);
}
foreach (List <int> collection in collectionsList)
{
Console.WriteLine($"{String.Join(", ", collection)} : balance {Weighted.Balance(collection, false)}");
Console.WriteLine($"{String.Join(", ", collection)} : balance {Weighted.Balance(collection, true)}");
Console.WriteLine("- - -");
}
}
public override void OnInput1(Weighted <S1> entry, T time)
{
//Console.WriteLine("Join Recv1");
var k = key1(entry.record);
var v = value1(entry.record);
var state = new JoinKeyIndices();
if (!JoinKeys.TryGetValue(k, out state))
{
state = new JoinKeyIndices();
}
if (!inputShutdown2)//!this.inputImmutable2)
{
inputTrace1.EnsureStateIsCurrentWRTAdvancedTimes(ref state.processed1);
inputTrace1.Introduce(ref state.processed1, v, entry.weight, internTable.Intern(time));
}
if (inputShutdown1)
{
Console.Error.WriteLine("Error in Join input shutdown1");
}
if (state.processed2 != 0)
{
inputTrace2.EnsureStateIsCurrentWRTAdvancedTimes(ref state.processed2);
times.Clear();
inputTrace2.EnumerateTimes(state.processed2, times);
for (int i = 0; i < times.Count; i++)
{
differences2.Clear();
inputTrace2.EnumerateDifferenceAt(state.processed2, times.Array[i], differences2);
var newTime = time.Join(internTable.times[times.Array[i]]);
var output = this.Output.GetBufferForTime(newTime);
for (int j = 0; j < differences2.Count; j++)
{
if (differences2.Array[j].weight != 0)
{
output.Send(resultSelector(k, v, differences2.Array[j].record).ToWeighted(entry.weight * differences2.Array[j].weight));
}
}
}
}
if (state.IsEmpty)
{
JoinKeys.Remove(k);
}
else
{
JoinKeys[k] = state;
}
}
public bool DeepEquals(DestinyHistoricalStatsValue?other)
{
return(other is not null &&
StatId == other.StatId &&
(Basic is not null ? Basic.DeepEquals(other.Basic) : other.Basic is null) &&
(Pga is not null ? Pga.DeepEquals(other.Pga) : other.Pga is null) &&
(Weighted is not null ? Weighted.DeepEquals(other.Weighted) : other.Weighted is null) &&
ActivityId == other.ActivityId);
}
public override void OnInput2(Weighted <S2> entry, T time)
{
var k = key2(entry.record);
var v = value2(entry.record);
var index = k / parts;
if (JoinKeys[index / 65536] == null)
{
JoinKeys[index / 65536] = new JoinIntKeyIndices[65536];
}
var state = JoinKeys[index / 65536][index % 65536];
if (!inputShutdown1)
{
inputTrace2.EnsureStateIsCurrentWRTAdvancedTimes(ref state.processed2);
inputTrace2.Introduce(ref state.processed2, v, entry.weight, internTable.Intern(time));
}
if (inputShutdown2)
{
Console.Error.WriteLine("Error in Join; input2 shutdown but recv'd input1");
}
if (state.processed1 != 0)
{
inputTrace1.EnsureStateIsCurrentWRTAdvancedTimes(ref state.processed1);
times.Clear();
inputTrace1.EnumerateTimes(state.processed1, times);
for (int i = 0; i < times.Count; i++)
{
differences1.Clear();
inputTrace1.EnumerateDifferenceAt(state.processed1, times.Array[i], differences1);
var newTime = time.Join(internTable.times[times.Array[i]]);
var output = this.Output.GetBufferForTime(newTime);
for (int j = 0; j < differences1.Count; j++)
{
if (differences1.Array[j].weight != 0)
{
output.Send(resultSelector(k, differences1.Array[j].record, v).ToWeighted(entry.weight * differences1.Array[j].weight));
}
}
}
}
JoinKeys[index / 65536][index % 65536] = state;
}
public void GenerateItems()
{
if (store.items.Length != 0)
{
//go through all the item spawn points in the transforms children, to instantiate the prefab and the set its properties using InitItem
for (int i = 0; i < itemSpawnPositions.childCount; i++)
{
ItemController item = Instantiate(itemPrefab, itemSpawnPositions.GetChild(i).position, transform.rotation);
item.InitItem((Item)Weighted.WeightedPick(store.items), discount); //set the item's data to a randomly (weighted) pick from the items available to spawn in the store
}
}
}
private static void TestRandom(string display, List <double> dist, int iterations)
{
// Random test
double[] collectorINT = new double[dist.Count];
Console.WriteLine("\n- - -");
Console.WriteLine($">> {display} {String.Join(", ", dist)}");
for (int i = 0; i < iterations; i++)
{
double result = Weighted.Random(dist);
collectorINT[(int)result]++;
}
Console.WriteLine(String.Join(", ", collectorINT));
}
public virtual void OnInput2(Weighted <S2> entry, T time)
{
var k = key2(entry.record);
var index = (int)(k / this.Stage.Placement.Count);
if (keyIndices[index / 65536] == null)
{
keyIndices[index / 65536] = new BinaryKeyIndices[65536];
}
keysToProcess.Add(index);
inputTrace2.Introduce(ref keyIndices[index / 65536][index % 65536].unprocessed2, value2(entry.record), entry.weight, internTable.Intern(time));
}
public void BaseNestedInference()
{
var ex = from x in new Flip(0.5)
from y in Inner(x)
where !y
select x;
var tmp1 = ex.Inference().Support().OrderBy(k => k.Value);
var result = new Weighted<bool>[] {
new Weighted<bool>() { Value = false, Probability = 0.1666666666666666 },
new Weighted<bool>() { Value = true, Probability = 0.8333333333333334},
};
foreach (var item in tmp1.Zip(result, Tuple.Create))
Assert.IsTrue(ApproxEqual(item.Item1.Probability, item.Item2.Probability));
}
private void OnInput(Weighted <R> entry, T time)
{
this.Output.Send(entry, time);
if (action != null)
{
list.Add(entry.ToNaiadRecord(time));
}
if (count == 0 || leastTime.CompareTo(time) > 0)
{
leastTime = time;
}
count++;
}
public void BaseNestedInference2()
{
var ex = from x in new Flip(0.5)
let inner = from y in new Flip(0.5)
let tmp = x ? 1.0 : y ? 0.9 : 0.1
from z in new Bernoulli(tmp)
where z
select y
let groups = from q in inner.Support()
group q by q.Value into summary
let prob = summary.Select(k => k.Probability).Aggregate((a, b) => a + b)
select Tuple.Create(summary.Key, prob)
let norm = (from item in groups select item.Item2).Sum()
let normalized = from g in groups
select new Weighted <bool>()
{
Value = g.Item1,
Probability = g.Item2 / norm
}
let inferred = new Multinomial <bool>(normalized.ToList())
from y in inferred
where !y
select x;
var tmp1 = ex.Inference().Support().OrderBy(k => k.Value);
var result = new Weighted <bool>[] {
new Weighted <bool>()
{
Value = false, Probability = 0.1666666666666666
},
new Weighted <bool>()
{
Value = true, Probability = 0.8333333333333334
},
};
foreach (var item in tmp1.Zip(result, Tuple.Create))
{
Assert.IsTrue(ApproxEqual(item.Item1.Probability, item.Item2.Probability));
}
}
public override void OnInput2(Weighted <T> input2)
{
IntersectState state;
var key = input2.record;
var present = states.TryGetValue(input2.record, out state);
if (!present)
{
state = new IntersectState();
}
var oldmin = Math.Min(state.val1, state.val2);
state.val2 += input2.weight;
var newmin = Math.Min(state.val1, state.val2);
if (oldmin != newmin)
{
Send(new Weighted <T>(key, newmin - oldmin));
}
if (state.val1 == 0.0 && state.val2 == 0.0)
{
if (present)
{
states.Remove(key);
}
}
else
{
if (!present)
{
states.Add(key, state);
}
else
{
states[key] = state;
}
}
}
void Start()
{
if (SoundSwitch)
{
SoundSwitch.Status = Prefs.SoundStatus;
}
string board = Progress.Data.Board;
for (int i = 0; i < Columns; i++)
{
for (int j = 0; j < Rows; j++)
{
ItemCube cube = CreateCube(i, j);
int idx = i * Columns + j;
if (!string.IsNullOrEmpty(board) && board.Length > idx)
{
int cl = 0;
if (int.TryParse(board[idx].ToString(), out cl))
{
cube.SetColor(cl);
}
//Debug.Log(board[idx].ToString());
}
Board.Add(BoardIndex(i, j), cube);
}
}
score = Progress.Data.Score;
if (ScoreText)
{
ScoreText.text = score.ToString();
}
//Create weighted list
WeightColors.Add(Weighted.Create(0.5f, 1));
WeightColors.Add(Weighted.Create(2, 2));
WeightColors.Add(Weighted.Create(2, 3));
WeightColors.Add(Weighted.Create(0.5f, 4));
NewMove();
}
public virtual void OnInput1(Weighted <S1> entry, T time)
{
var k = key1(entry.record);
BinaryKeyIndices state;
if (!keyIndices.TryGetValue(k, out state))
{
state = new BinaryKeyIndices();
}
if (state.unprocessed1 == 0 && state.unprocessed2 == 0)
{
keysToProcess.Add(k);
}
inputTrace1.Introduce(ref state.unprocessed1, value1(entry.record), entry.weight, internTable.Intern(time));
keyIndices[k] = state;
}
private void SpawnStores(Transform[] locations, GameObject[] prefabs, ExitStore[] interiors)
{
for (int i = 0; i < locations.Length; i++)
{
GameObject newStore = Instantiate(prefabs[Random.Range(0, prefabs.Length)], locations[i].position, transform.rotation);
//set up door connection between exteriors and interiors
DoorController storeDoor = newStore.GetComponentInChildren <DoorController>();
interiors[StoreId - 1].door = storeDoor.transform;
//Select the store type and store discount
//cast the weighted to be storeType as it derives from Weigted and we dont need the weighted attribute after selecting the store type
StoreType selectedStore = (StoreType)Weighted.WeightedPick(storeArray.stores);
Discount selectedDiscount = (Discount)Weighted.WeightedPick(discounts);
//set up store exterior by setting the sign sprites to the one stored in the StoreType asset
SignEditor[] signs = newStore.GetComponentsInChildren <SignEditor>();
foreach (SignEditor sign in signs)
{
//set the type of store sign
if (sign.signType == SignTypes.store)
{
sign.SetSprite(selectedStore.logo);
}
else if (sign.signType == SignTypes.sale)
{
sign.SetSprite(selectedDiscount.sign);
}
}
//set up the store interior by setting the type for the generation
InteriorGenerator storeInterior = interiors[StoreId - 1].GetComponent <InteriorGenerator>();
storeInterior.store = selectedStore;
storeInterior.discount = selectedDiscount;
storeInterior.GenerateItems();
storeDoor.storeId = StoreId++; //after setting the storeId post-increment the static variable for the next store
}
}
public static void TestRandom()
{
int counter = 10;
List <int> weights = new List <int>();
for (int count = 0; count < counter; count++)
{
weights.Add(count % 3);
}
Console.WriteLine(String.Join(", ", weights));
int[] result = new int[counter];
for (int count = 0; count < counter; count++)
{
result[count] = 0;
}
for (int count = 0; count < counter * 100; count++)
{
result[Weighted.Random(weights)]++;
}
Console.WriteLine(String.Join(", ", result));
}
public void BaseNestedInference()
{
var ex = from x in new Flip(0.5)
from y in Inner(x)
where !y
select x;
var tmp1 = ex.Inference().Support().OrderBy(k => k.Value);
var result = new Weighted <bool>[] {
new Weighted <bool>()
{
Value = false, Probability = 0.1666666666666666
},
new Weighted <bool>()
{
Value = true, Probability = 0.8333333333333334
},
};
foreach (var item in tmp1.Zip(result, Tuple.Create))
{
Assert.IsTrue(ApproxEqual(item.Item1.Probability, item.Item2.Probability));
}
}
private void OnRecv(Weighted <S> record, T time)
{
Dictionary <S, Int64> accum;
if (recentTimeValid && recentTime.Equals(time))
{
accum = recentAccum;
}
else
{
if (!accumulations.TryGetValue(time, out accum))
{
accum = new Dictionary <S, Int64>();
accumulations.Add(time, accum);
this.NotifyAt(time);
}
recentAccum = accum;
recentTime = time;
recentTimeValid = true;
}
// update dictionary, adding/removing if needed
Int64 count;
accum.TryGetValue(record.record, out count);
if (count + record.weight == 0)
{
accum.Remove(record.record);
}
else
{
accum[record.record] = count + record.weight;
}
}
public static Map <Vertex, Weighted <Vertex> > Dijkstra <Vertex>(Vertex start, Func <Vertex, IEnumerable <Weighted <Vertex> > > edges, int maxSteps = 10000)
{
Map <Vertex, Weighted <Vertex> > result = new Map <Vertex, Weighted <Vertex> >(() => new Weighted <Vertex>(default(Vertex), float.PositiveInfinity));
HashSet <Vertex> relaxated = new HashSet <Vertex>();
result[start] = new Weighted <Vertex>(default(Vertex), 0);
for (int i = 0; i < maxSteps; i++)
{
var vertex = result.Keys.Except(relaxated).MinBy(v => result[v].weight);
if (vertex == null)
{
break;
}
relaxated.Add(vertex);
edges(vertex).ForEach(e => {
var newPath = result[vertex].weight + e.weight;
if (newPath < result[e.to].weight)
{
result[e.to] = new Weighted <Vertex>(vertex, newPath);
}
});
}
return(result);
}
public void On_Empty_Returns_4() => Weighted.Compute(new Activity[0]).Should().Be(0);
public void Add(Weighted <T> more)
{
pending.Add(more);
}
/*
* TODO: buffZBRadiating on ghost disactivated due to Mesh warning
* test on chickenV2 ?
*/
public static void _Define()
{
Printer.Print("BiomeInfo._Define()");
ZBiomeInfo desert = new ZBiomeInfo("desert", 0f);
desert.blockSoil = "terrDesertGround,terrSand,terrSandStone";
desert.blockTrap = ZBiomeInfo.Blocks.cactus;
desert.buffGhost = "buffZBShoking";
desert.decoProj = "rockFragment,ZBProj_treePlainsTree,Boulder,ZBProj_treeCactus03";
desert.blockRock = "terrStone,terrGravel,terrSandStoneUnstable";
desert.blockBuild = "brickBlock";
desert.zombies = "zombieYo";
desert.animals = "animalZombieVulture,animalSnake";
desert.fillBag = "resourceBrokenGlass,resourceCrushedSand,terrDirt,terrSand";
desert.envProj = "ZBProj_sand,ZBProj_electric,ZBProj_eject,ZBProj_ragdoll,ZBProj_poison";
desert.groundSmokeProjectile = "p_impact_stone_on_plant,p_impact_stone_on_earth";
desert.groundColor = new Color(218f / 255, 165f / 255, 32f / 255);
desert.particleStorm = GhostData.ssandEffect;
desert.waterBlock = "waterBoil,waterBoil";
desert.Ghost = Weighted <GhostData> .Of(
GhostData.fbolt, 0.2f, GhostData.fghost, 0.2f, GhostData.fbomb, 0.2f,
GhostData.ebolt, 2f, GhostData.eghost, 2f, GhostData.ebomb, 2f,
GhostData.ybolt, 0.5f, GhostData.yghost, 0.5f, GhostData.ybomb, 0.5f,
GhostData.lbolt, 0.5f, GhostData.lbomb, 0.5f,
GhostData.bbolt, 1f
);
ZBiomeInfo burnt_forest = new ZBiomeInfo("burnt_forest", 0.5f);
burnt_forest.blockSoil = "terrBurntForestGround,terrDirt";
burnt_forest.blockTrap = "woodLogSpike1";
burnt_forest.buffGhost = "buffZBFiring";
burnt_forest.decoProj = "rockFragment,ZBProj_treePlainsTree,Boulder,ZBProj_treeShrub,ZBProj_treeDeadTree01";
burnt_forest.blockRock = "terrStone,terrDirt";
burnt_forest.blockBuild = "burntWoodBlock1,burntWoodBlock2,burntWoodBlock3,burntWoodBlock4";
burnt_forest.zombies = "zombieMoe";
burnt_forest.animals = "animalZombieBear";
burnt_forest.fillBag = "terrDirt,terrSand";
burnt_forest.envProj = "ZBProj_fire,ZBProj_fireHuman,ZBProj_fireHuman,ZBProj_eject,ZBProj_ragdoll";
burnt_forest.groundSmokeProjectile = "p_blockdestroy_stone,p_impact_stone_on_earth";
burnt_forest.particleStorm = GhostData.ssmokeEffect;
burnt_forest.groundColor = new Color(139f / 255, 69f / 255, 19f / 255);
burnt_forest.waterBlock = "waterBoil,waterBoil";
burnt_forest.Ghost = Weighted <GhostData> .Of(
GhostData.fbolt, 2f, GhostData.fghost, 2f, GhostData.fbomb, 2f,
GhostData.ebolt, 0.1f,
GhostData.ybolt, 0.5f, GhostData.yghost, 0.5f, GhostData.ybomb, 0.5f,
GhostData.lbolt, 0.3f, GhostData.lbomb, 0.3f,
GhostData.bbolt, 1f
);
ZBiomeInfo pine_forest = new ZBiomeInfo("pine_forest");
pine_forest.blockSoil = "terrForestGround";
pine_forest.blockTrap = ZBiomeInfo.Blocks.woodtrap;
pine_forest.buffGhost = "buffZBRadiating,buffZBShoking,buffZBFiring";
pine_forest.decoProj = "rockFragment,ZBProj_treePlainsTree,Boulder,ZBProj_treeShrub,ZBProj_treeOakSml01,ZBProj_treeOakLrg01,ZBProj_treePlantedOak41m,ZBProj_treeMountainPine12m";
pine_forest.blockRock = "terrStone";
pine_forest.blockBuild = "woodFrameMaster";
pine_forest.zombies = "zombieFarmer";
pine_forest.animals = "animalWolf,animalMountainLion";
pine_forest.fillBag = "resourceWood,resourceClayLump";
pine_forest.envProj = "ZBProj_fire,ZBProj_eject,ZBProj_sand,ZBProj_ragdoll,ZBProj_poison";
pine_forest.groundSmokeProjectile = "p_treeGib_birch_small,p_impact_stone_on_plant,p_impact_stone_on_plant"; // p_treeGib_birch_6m is too big ?
pine_forest.particleStorm = GhostData.ssmokeEffect;
pine_forest.groundColor = new Color(34f / 255, 139f / 255, 34f / 255);
pine_forest.waterBlock = "terrWaterPOI,terrWaterPOI,terrWaterPOI,terrWaterPOI,waterBoil";
pine_forest.Ghost = Weighted <GhostData> .Of(
GhostData.fbolt, 1f, GhostData.fghost, 1f, GhostData.fbomb, 1f,
GhostData.ybolt, 1f, GhostData.yghost, 1f, GhostData.ybomb, 1f,
GhostData.lbolt, 1f, GhostData.lbomb, 1f,
GhostData.bbolt, 1f
);
ZBiomeInfo snow = new ZBiomeInfo("snow", 2f);
snow.blockSoil = "terrSnow";
snow.blockTrap = "snowStalagmite";
snow.buffGhost = "buffZBRadiating,buffZBShoking";
snow.decoProj = "rockFragment,ZBProj_treePlainsTree,Boulder,ZBProj_treeShrub,ZBProj_treeWinterPine13m,ZBProj_treeWinterPine28m";
snow.blockRock = "terrStone,terrAsphalt";
snow.blockBuild = "flagstoneBlock";
snow.zombies = "zombieSnow";
snow.animals = "animalBear";
snow.fillBag = "resourceSnowBall";
snow.envProj = "ZBProj_freeze,ZBProj_electric,ZBProj_eject,ZBProj_ragdoll,ZBProj_freeze";
snow.groundSmokeProjectile = "p_treeGib_winter01,p_paint_splash2,p_impact_bullet_on_snow,p_blockdestroy_snow";
snow.particleStorm = GhostData.ssnowEffect;
snow.groundColor = new Color(176f / 255, 224f / 255, 230f / 255);
snow.waterBlock = "waterFreeze,waterFreeze,waterFreeze,waterBoil,terrWaterPOI";
snow.Ghost = Weighted <GhostData> .Of(
GhostData.ebolt, 1f, GhostData.eghost, 1f, GhostData.ebomb, 1f,
GhostData.ybolt, 1f, GhostData.yghost, 1f, GhostData.ybomb, 1f,
GhostData.lbolt, 1f, GhostData.lbomb, 1f
);
ZBiomeInfo wasteland = new ZBiomeInfo("wasteland");
wasteland.blockSoil = "terrDestroyedStone";
wasteland.blockTrap = string.Join(",", ZBiomeInfo.Blocks.irontrap, "barbedWireSheet");
wasteland.buffGhost = "buffZBRadiating";
wasteland.decoProj = "rockFragment,ZBProj_treePlainsTree,Boulder,ZBProj_treeShrub,ZBProj_treeOakSml01,ZBProj_treeMountainPine12m,ZBProj_treeDeadTree01";
wasteland.blockRock = "terrStone,terrDestroyedStone,terrConcrete";
wasteland.blockBuild = "concreteBlock,scrapMetalPile";
wasteland.zombies = "zombieLab";
wasteland.animals = "animalZombieDog";
wasteland.fillBag = "resourceScrapPolymers";
wasteland.envProj = "ZBProj_spark,ZBProj_poison,ZBProj_spark,ZBProj_eject,ZBProj_sand";
wasteland.groundSmokeProjectile = "p_impact_wood_on_earth,p_blockdestroy_metal";
wasteland.particleStorm = GhostData.ssandEffect;
wasteland.groundColor = new Color(188f / 255, 143f / 255, 143f / 255);
wasteland.waterBlock = "terrWaterPOI,terrWaterPOI,waterSlime";
wasteland.Ghost = Weighted <GhostData> .Of(
GhostData.fbolt, 0.2f, GhostData.fghost, 0.2f, GhostData.fbomb, 0.2f,
GhostData.ebolt, 1f, GhostData.eghost, 1f, GhostData.ebomb, 1f,
GhostData.ybolt, 1f, GhostData.yghost, 1f, GhostData.ybomb, 1f,
GhostData.lbolt, 1f, GhostData.lbomb, 1f,
GhostData.bbolt, 1f
);
Defined = true;
Printer.Print("ZBiomeInfo keys:", string.Join(",", List.Keys));
}
public override void OnInput2(Weighted <S2> entry, T time)
{
var k = key2(entry.record);
var v = value2(entry.record);
var state = new JoinKeyIndices();
if (!JoinKeys.TryGetValue(k, out state))
{
state = new JoinKeyIndices();
}
if (!inputShutdown1)//!this.inputImmutable1)
{
inputTrace2.EnsureStateIsCurrentWRTAdvancedTimes(ref state.processed2);
inputTrace2.Introduce(ref state.processed2, v, entry.weight, internTable.Intern(time));
}
if (inputShutdown2)
{
Console.Error.WriteLine("Error in Join input shutdown2");
}
if (state.processed1 != 0)
{
inputTrace1.EnsureStateIsCurrentWRTAdvancedTimes(ref state.processed1);
times.Clear();
inputTrace1.EnumerateTimes(state.processed1, times);
for (int i = 0; i < times.Count; i++)
{
differences1.Clear();
inputTrace1.EnumerateDifferenceAt(state.processed1, times.Array[i], differences1);
var newTime = time.Join(internTable.times[times.Array[i]]);
for (int j = 0; j < differences1.Count; j++)
{
if (differences1.Array[j].weight != 0)
{
//Send(resultSelector(k, differences1.Array[j].record, v).ToNaiadRecord(entry.weight * differences1.Array[j].weight, newTime));
var result = resultSelector(k, differences1.Array[j].record, v);
var weight = entry.weight * differences1.Array[j].weight;
this.Output.Buffer.payload[this.Output.Buffer.length++] = new Pair <Weighted <R>, T>(new Weighted <R>(result, weight), newTime);
if (this.Output.Buffer.length == this.Output.Buffer.payload.Length)
{
this.Output.Send(this.Output.Buffer);
this.Output.Buffer.length = 0;
}
}
}
}
}
if (state.IsEmpty)
{
JoinKeys.Remove(k);
}
else
{
JoinKeys[k] = state;
}
}
public void Base_ConditionalProbability()
{
var ex = from a in new Bernoulli(0.1)
from b in new Bernoulli(0.1)
from c in new Bernoulli(0.1)
let d = Convert.ToInt32(a) + Convert.ToInt32(b) + Convert.ToInt32(c)
where d >= 2
select a;
var tmp1 = ex.Inference().Support().OrderBy(k => k.Value);
var tmp2 = ex.SampledInference(10000).Support().OrderBy(k => k.Value);
var result = new Weighted<bool>[] {
new Weighted<bool>() { Value = false, Probability = 0.3214285714285714},
new Weighted<bool>() { Value = true, Probability = 0.6785714285714285},
};
foreach (var item in tmp1.Zip(result, Tuple.Create))
Assert.IsTrue(ApproxEqual(item.Item1.Probability, item.Item2.Probability));
foreach (var item in tmp2.Zip(result, Tuple.Create))
Assert.IsTrue(ApproxEqual(item.Item1.Probability, item.Item2.Probability));
}
public void Base_ConditionalProbability3()
{
var ex = from rain in new Bernoulli(0.2)
from sprinkler in new Bernoulli(0.2)
from w in new Bernoulli(0.05)
let wet = rain | sprinkler ? true : w
where wet
select Tuple.Create(rain, sprinkler);
var tmp1 = ex.Inference().Support().OrderBy(k => k.Value);
var result = new Weighted<Tuple<bool, bool>>[] {
new Weighted<Tuple<bool,bool>>() { Value = Tuple.Create(false,false), Probability = 0.08163265306122447},
new Weighted<Tuple<bool,bool>>() { Value = Tuple.Create(false,true), Probability = 0.4081632653061224},
new Weighted<Tuple<bool,bool>>() { Value = Tuple.Create(true,false), Probability = 0.4081632653061224},
new Weighted<Tuple<bool,bool>>() { Value = Tuple.Create(true,true), Probability = 0.1020408163265306},
};
foreach (var item in tmp1.Zip(result, Tuple.Create))
Assert.IsTrue(ApproxEqual(item.Item1.Probability, item.Item2.Probability));
}
public void BaseNestedInference2()
{
var ex = from x in new Flip(0.5)
let inner = from y in new Flip(0.5)
let tmp = x ? 1.0 : y ? 0.9 : 0.1
from z in new Bernoulli(tmp)
where z
select y
let groups = from q in inner.Support()
group q by q.Value into summary
let prob = summary.Select(k => k.Probability).Aggregate((a, b) => a + b)
select Tuple.Create(summary.Key, prob)
let norm = (from item in groups select item.Item2).Sum()
let normalized = from g in groups
select new Weighted<bool>() {
Value = g.Item1,
Probability = g.Item2 / norm
}
let inferred = new Multinomial<bool>(normalized.ToList())
from y in inferred
where !y
select x;
var tmp1 = ex.Inference().Support().OrderBy(k => k.Value);
var result = new Weighted<bool>[] {
new Weighted<bool>() { Value = false, Probability = 0.1666666666666666 },
new Weighted<bool>() { Value = true, Probability = 0.8333333333333334},
};
foreach (var item in tmp1.Zip(result, Tuple.Create))
Assert.IsTrue(ApproxEqual(item.Item1.Probability, item.Item2.Probability));
}
public void PicksOneRandomly()
{
Assert.AreEqual(0, Weighted.RandomIndexByWeight(new[] { 1, 2 }, (start, end) => start));
Assert.AreEqual(1, Weighted.RandomIndexByWeight(new[] { 1, 2 }, (start, end) => start + 1));
Assert.AreEqual(1, Weighted.RandomIndexByWeight(new[] { 1, 2 }, (start, end) => start + 2));
}
