From d88b7c031960550e138c7d3706493c0979fe2090 Mon Sep 17 00:00:00 2001
From: Pagwin <dev@pagwin.xyz>
Date: Fri, 5 Jun 2026 14:14:01 -0400
Subject: [PATCH] linear objective sucks returning to multiplication

---
 main.py | 17 +++++++++++------
 1 file changed, 11 insertions(+), 6 deletions(-)

diff --git a/main.py b/main.py
index af49d63..5540f90 100644
--- a/main.py
+++ b/main.py
@@ -485,11 +485,14 @@ def solve(
     # below. (finalE/finalB/finalS are the pools after step 5's gains.)
     # ======================================================================
     ## NOTE: product can be changed here
-    prodEB = m.NewIntVar(0, capE * capB, "prodEB")
-    m.AddMultiplicationEquality(prodEB, [finalE, finalB])
-    obj = m.NewIntVar(0, capE * capB * capS, "obj")
-    m.AddMultiplicationEquality(obj, [prodEB, finalS])
-    m.Maximize(obj)
+    # prodEB = m.NewIntVar(0, capE * capB, "prodEB")
+    # m.AddMultiplicationEquality(prodEB, [finalE, finalB])
+    # obj = m.NewIntVar(0, capE * capB * capS, "obj")
+    # m.AddMultiplicationEquality(obj, [prodEB, finalS])
+    # m.Maximize(obj)
+
+    # Linear objective instead
+    m.Maximize(finalE + finalB + finalS)
 
     # ---- Phase 2: solve the product to optimality ----
     solver = cp_model.CpSolver()
@@ -691,7 +694,9 @@ def _report(
             )
 
     fe, fb, fs = solver.Value(finalE), solver.Value(finalB), solver.Value(finalS)
-    print(f"\nFINAL  E={fe}  B={fb}  S={fs}   product = {fe * fb * fs}")
+    print(
+        f"\nFINAL  E={fe}  B={fb}  S={fs}   product = {fe * fb * fs}   sum = {fe + fb + fs}"
+    )
 
 
 if __name__ == "__main__":