Optimize interrogation, add max_eq solution

python/foobar/three/interrogation.bad.py

@@ -0,0 +1,44 @@
+#!/usr/bin/env python
+
+# Foreach minion, x[0] = time, x[1]/x[2] = probability of response.
+inputs = [ [[5, 1, 5], [10, 1, 2]], [[390, 185, 624], [686, 351, 947], [276, 1023, 1024], [199, 148, 250]] ]
+solutions = [ [1,0], [2,3,0,1] ]
+
+minions = inputs
+
+def answer(minions):
+    """Calculate the optimal interrogation order, providing the answer in the shortest time"""
+    """ T[1] + (1-P[1])*T[2] + (1-P[1])(1-P[2])*T[3]"""
+
+    optimal = [ [], 0 ]
+
+    for i,minion in enumerate(minions):
+        optimal = goDeeper(optimal,[i],minions,1-probabilityOf(minion),minion[0])
+
+    return optimal[0]
+
+def goDeeper(optimal,used,minions,pn,t):
+    """My recursion function to evaluate all the combinations of interrogation orders"""
+    for i, minion in enumerate(minions):
+        if i not in used:
+            p = pn*(1-probabilityOf(minion))
+            time = t + (pn*minion[0])
+            curr = used+[i]
+
+            if len(curr) == len(minions):
+                if len(optimal[0])>0:
+                    if time < optimal[1]:
+                        optimal = [ curr, time ]
+                else:
+                    optimal = [ curr, time ]
+            else:
+                optimal = goDeeper(optimal,curr,minions,p,time)
+    return optimal
+
+def probabilityOf(minion):
+    return ((1.0*minion[1])/minion[2])
+
+for i in range(0,len(solutions)):
+    print answer(inputs[i])
+    print solutions[i]
+

python/foobar/three/interrogation.py

@@ -7,36 +7,14 @@ solutions = [ [1,0], [2,3,0,1] ]
 minions = inputs
 
 def answer(minions):
-    """Calculate the optimal interrogation order, providing the answer in the shortest time"""
-    """ T[1] + (1-P[1])*T[2] + (1-P[1])(1-P[2])*T[3]"""
+    orderable = map(order,range(0,len(minions)),minions)
+    return map(index,sorted(orderable,key=lambda minion: minion[1]))
 
-    optimal = [ [], 0 ]
+def order(i,minion):
+    return [i,minion[0]/(1.0*minion[1]/minion[2])]
 
-    for i,minion in enumerate(minions):
-        optimal = goDeeper(optimal,[i],minions,1-probabilityOf(minion),minion[0])
-
-    return optimal[0]
-
-def goDeeper(optimal,used,minions,pn,t):
-    """My recursion function to evaluate all the combinations of interrogation orders"""
-    for i, minion in enumerate(minions):
-        if i not in used:
-            p = pn*(1-probabilityOf(minion))
-            time = t + (pn*minion[0])
-            curr = used+[i]
-
-            if len(curr) == len(minions):
-                if len(optimal[0])>0:
-                    if time < optimal[1]:
-                        optimal = [ curr, time ]
-                else:
-                    optimal = [ curr, time ]
-            else:
-                optimal = goDeeper(optimal,curr,minions,p,time)
-    return optimal
-
-def probabilityOf(minion):
-    return ((1.0*minion[1])/minion[2])
+def index(minion):
+    return minion[0]
 
 for i in range(0,len(solutions)):
     print answer(inputs[i])

python/foobar/two/max_eq.py

@@ -0,0 +1,12 @@
+#!/usr/bin/env python
+
+samples = [ [[1,4,1],3], [[1,2],1] ]
+
+def answer(x):
+    """Find the number of cars that can be made an equal weight via bunny redistribution between cars"""
+    remainder = sum(x)%(len(x))
+    return len(x) if (remainder==0) else len(x)-1
+
+for sample in samples:
+    print answer(sample[0])
+    print sample[1]