/// <summary> Applies a single stat to the result. </summary>
/// <param name="state"> Current state object </param>
/// <param name="stat"> Stat to apply </param>
/// <param name="statValue"> Value to apply to stat </param>
/// <param name="randomizer"> Function to use to generate random values </param>
/// <param name="scaler"> Function to use to scale appleied values </param>
/// <param name="rollGroup"> History of rolls to use, or record to. </param>
private void ApplyStat(State state, string stat, JsonValue statValue, StatTableEntry entry, JsonObject rollGroup)
{
if (rollGroup.Has(stat))
{
// Roll already exists? Replay calculation only.
if (statValue.isNumber)
{
state.result[stat] = entry.applier(state.result.Get <double>(stat), entry.scaler(state, statValue * rollGroup.Get <double>(stat)));
}
else if (statValue.isArray)
{
var a = statValue[0].doubleVal;
var b = statValue[1].doubleVal;
state.result[stat] = entry.applier(state.result.Get <double>(stat), entry.scaler(state, a + (b - a) * rollGroup.Get <double>(stat)));
}
}
else
{
// Roll does not exist? Roll and calculate.
var roll = entry.randomizer(state);
if (statValue.isNumber)
{
state.result[stat] = entry.applier(state.result.Get <double>(stat), entry.scaler(state, statValue * roll));
}
else if (statValue.isArray)
{
var a = statValue[0].doubleVal;
var b = statValue[1].doubleVal;
state.result[stat] = entry.applier(state.result.Get <double>(stat), entry.scaler(state, a + (b - a) * roll));
}
rollGroup[stat] = roll;
}
}
/// <summary> Apply a stat group to the result </summary>
/// <param name="state"> Current generator state </param>
/// <param name="rule"> Rule object </param>
/// <param name="group"> Name of stat group to apply </param>
/// <param name="rolls"> History of rolls to use, or record to. </param>
private void ApplyStatGroup(State state, JsonObject rule, string group, JsonObject rolls)
{
StatTableEntry entry = statGroupTable[group];
JsonObject stats = rule.Get <JsonObject>(group);
if (stats != null)
{
if (!rolls.Has(group))
{
rolls[group] = new JsonObject();
}
var rollGroup = rolls.Get <JsonObject>(group);
foreach (var pair in stats)
{
string key = pair.Key;
var val = pair.Value;
var setCheck = FindRule(key);
if (setCheck != null && setCheck.isObject)
{
foreach (var pair2 in setCheck)
{
var stat = pair2.Key;
ApplyStat(state, stat, val, entry, rollGroup);
}
}
else
{
ApplyStat(state, key, val, entry, rollGroup);
}
}
}
}
public StatTableEntry(StatTableEntry other)
{
this.randomizer = other.randomizer;
this.scaler = other.scaler;
this.applier = other.applier;
}
/// <summary> Function that bakes stat group table </summary>
/// <returns> Baked stat group table </returns>
private static Dictionary <string, StatTableEntry> BuildStatTable()
{
Dictionary <string, StatTableEntry> table = new Dictionary <string, StatTableEntry>();
// Randomizers
// stat (1.0 always)
double stat(State state)
{
return(1.0);
}
// rand [0, 1)
double rand(State state)
{
return(state.NextRand());
}
// normal (approximate) in [0, 1), with .5 avg
double norm(State state)
{
return(state.NextNorm());
}
// Scalers
// normal scaling (v*scale)
double mscale(State state, double v)
{
return(v * state.scale);
}
// divisor scaling (v/scale)
double dscale(State state, double v)
{
return(v / state.scale);
}
// power scaling (v^scale)
double pscale(State state, double v)
{
return(Math.Pow(v, state.scale));
}
// fixed scaling (v)
double f(State state, double v)
{
return(v);
}
// fixed sqrt scaling (sqrt(v))
double sqrt(State state, double v)
{
return(Math.Sqrt(v));
}
// Add
double add(double x, double y)
{
return(x + y);
}
// Subtract
double sub(double x, double y)
{
return(x - y);
}
// Multiply
double mult(double x, double y)
{
return(x * y);
}
// Divide
double div(double x, double y)
{
return(x / y);
}
// power
double pow(double x, double y)
{
return(Math.Pow(x, y));
}
// combine Ratios (eg, (.5,.5) => .75, (.6, .5) => .8
double ratio(double x, double y)
{
return(OM(OM(x) * OM(y)));
}
double Clamp01(double v)
{
return(v < 0 ? 0 : v > 1 ? 1 : v);
}
double OM(double v)
{
return(1.0 - Clamp01(v));
} // One Minus
StatTableEntry baseEntry = new StatTableEntry(stat, mscale, add);
table[nameof(stat)] = new StatTableEntry(baseEntry);
table[nameof(rand)] = new StatTableEntry(baseEntry); table[nameof(rand)].randomizer = rand;
table[nameof(norm)] = new StatTableEntry(baseEntry); table[nameof(norm)].randomizer = norm;
Func <State, double, double>[] scalers = new Func <State, double, double>[] { mscale, dscale, pscale, f, sqrt };
string[] scalerNs = new string[] { nameof(mscale), nameof(dscale), nameof(pscale), nameof(f), nameof(sqrt), };
Func <double, double, double>[] appliers = new Func <double, double, double>[] { add, sub, mult, div, ratio, pow };
string[] applierNs = new string[] { nameof(add), nameof(sub), nameof(mult), nameof(div), nameof(ratio), nameof(pow) };
var keys = new List <string>();
keys.Clear(); keys.AddRange(table.Keys);
foreach (var key in keys)
{
var entry = table[key];
for (int i = 0; i < scalers.Length; i++)
{
string dkey = scalerNs[i] + key;
var copy = new StatTableEntry(entry);
copy.scaler = scalers[i];
table[dkey] = copy;
}
}
keys.Clear(); keys.AddRange(table.Keys);
foreach (var key in keys)
{
var entry = table[key];
for (int i = 0; i < appliers.Length; i++)
{
string dkey = applierNs[i] + key;
var copy = new StatTableEntry(entry);
copy.applier = appliers[i];
table[dkey] = copy;
}
}
return(table);
}
