rescale

Author: amogorkon

src/fuzzylogic/rules.py

@@ -1,9 +1,10 @@
 """Functions to evaluate, infer and defuzzify."""
 
-from .classes import Domain
-from .classes import Set
 from math import isinf
 
+from .classes import Domain, Set
+
+
 def round_partial(value, res):
     """
     Round any value to any arbitrary precision.
@@ -57,8 +58,7 @@ def rescale(out_min, out_max, *, in_min=0, in_max=1):
     o = (b * c)
 
     def f(x):
-        y = (n - a * x - o + b * x) / e
-        return y
+        return (n - a * x - o + b * x) / m
 
 
 def weighted_sum(*, weights:dict, target_d:Domain) -> float:
@@ -79,4 +79,4 @@ def weighted_sum(*, weights:dict, target_d:Domain) -> float:
     def f(memberships):
         result = sum(r * weights[n] for n, r in memberships.items())
         return round_partial(rsc(result), target_d._res)
-    return f
+    return f