Add scanres vs locktime on active fit graph as experimental feature

graphs/calc.py

@@ -18,40 +18,9 @@
 # =============================================================================
 
 
-import math
-
 from service.settings import GraphSettings
 
 
-# Just copy-paste penalization chain calculation code (with some modifications,
-# as multipliers arrive in different form) in here to not make actual attribute
-# calculations slower than they already are due to extra function calls
-def calculateMultiplier(multipliers):
-    """
-    multipliers: dictionary in format:
-    {stacking group name: [(mult, resist attr ID), (mult, resist attr ID)]}
-    """
-    val = 1
-    for penalizedMultipliers in multipliers.values():
-        # A quick explanation of how this works:
-        # 1: Bonuses and penalties are calculated seperately, so we'll have to filter each of them
-        l1 = [v[0] for v in penalizedMultipliers if v[0] > 1]
-        l2 = [v[0] for v in penalizedMultipliers if v[0] < 1]
-        # 2: The most significant bonuses take the smallest penalty,
-        # This means we'll have to sort
-        abssort = lambda _val: -abs(_val - 1)
-        l1.sort(key=abssort)
-        l2.sort(key=abssort)
-        # 3: The first module doesn't get penalized at all
-        # Any module after the first takes penalties according to:
-        # 1 + (multiplier - 1) * math.exp(- math.pow(i, 2) / 7.1289)
-        for l in (l1, l2):
-            for i in range(len(l)):
-                bonus = l[i]
-                val *= 1 + (bonus - 1) * math.exp(- i ** 2 / 7.1289)
-    return val
-
-
 def checkLockRange(src, distance):
     if distance is None:
         return True