feat: report prints the actually maximized objective

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

solve.py

@@ -1682,6 +1682,8 @@ def solve(
         capital_spent,
         fence_deposits,
         baron_deposits,
+        obj_factors=obj_factors,
+        obj_mode=objective_mode,
     )
     return solver, status
 
@@ -1736,6 +1738,8 @@ def _report(
     capital_spent=None,
     fence_deposits=None,
     baron_deposits=None,
+    obj_factors=None,
+    obj_mode=None,
 ):
     print("status:", solver.StatusName(status))
     if status not in (cp_model.OPTIMAL, cp_model.FEASIBLE):
@@ -1890,9 +1894,32 @@ def _report(
             )
 
     fe, fb, fs = solver.Value(finalE), solver.Value(finalB), solver.Value(finalS)
+    vals = {"E": fe, "B": fb, "S": fs, "C": solver.Value(C[NUM_STEPS + 1])}
+    if obj_factors is None:
+        # Legacy fallback: old hardcoded E*B*S display.
+        obj_str = f"product(scaled) = {fe * fb * fs / 1000}"
+    elif obj_mode == "sum":
+        terms = [
+            f"{f}{k}" if abs(f) != 1 else (k if f > 0 else f"-{k}")
+            for k, f in obj_factors.items()
+            if f
+        ]
+        expr = " + ".join(terms).replace("+ -", "- ")
+        raw = sum(f * vals[k] for k, f in obj_factors.items())
+        obj_str = f"objective {expr} = {raw / 10:.1f}"
+    else:
+        expr = "*".join(
+            k if f == 1 else f"{k}^{f}" for k, f in obj_factors.items() if f
+        )
+        raw, n = 1, 0
+        for k, f in obj_factors.items():
+            raw *= vals[k] ** f
+            n += f
+        # Resource values are x10-scaled, so descale by 10^(sum of exponents).
+        obj_str = f"objective {expr} = {raw / 10**n}"
     print(
         f"\nFINAL  E={fe / 10:.1f}  B={fb / 10:.1f}  S={fs / 10:.1f}   "
-        f"product(scaled) = {fe * fb * fs / 1000}   sum = {(fe + fb + fs) / 10:.1f}"
+        f"{obj_str}   sum = {(fe + fb + fs) / 10:.1f}"
     )