Minor annotations to temperature calculations

copycat/temperature.py

@@ -222,3 +222,21 @@ class Temperature(object):
         c = (10 - a) / 100
         f = (c + 1) * value
         return (0 + (-f * math.log2(f)))  # max(f, 0.0000)
+
+    def getAdjustedProbability(self, value):
+        # Recall self.value():
+        # def value(self):
+        #     return 100.0 if self.clamped else self.actual_value
+        #
+        # f in terms of value() and value only
+        # f = ((10 - sqrt(100 - self.value()))/100 + 1) * value
+        
+        if value == 0 or value == 0.5 or self.value() == 0:
+            return value
+        if value < 0.5:
+            return 1.0 - self.getAdjustedProbability(1.0 - value)
+        coldness = 100.0 - self.value()
+        a = math.sqrt(coldness)
+        c = (10 - a) / 100
+        f = (c + 1) * value
+        return max(f, 0.5)

copycat/workspace.py

@@ -39,7 +39,7 @@ class Workspace(object):
         self.changedObject = None
         self.objects = []
         self.structures = []
-        self.rule = None
+        self.rule = None # Only one rule? : LSaldyt
         self.initial = WorkspaceString(self.ctx, self.initialString)
         self.modified = WorkspaceString(self.ctx, self.modifiedString)
         self.target = WorkspaceString(self.ctx, self.targetString)
@@ -99,6 +99,11 @@ class Workspace(object):
 
     # TODO: use entropy
     def getUpdatedTemperature(self):
+        '''
+        Calculation of global tolerance towards irrelevance
+
+        temp = weightedAverage(totalUnhappiness(.8), ruleWeakness(.2))
+        '''
         self.calculateIntraStringUnhappiness()
         self.calculateInterStringUnhappiness()
         self.calculateTotalUnhappiness()