diff --git a/bitten/test_b2.py b/bitten/test_b2.py
new file mode 100644
index 0000000..d95af1d
--- /dev/null
+++ b/bitten/test_b2.py
@@ -0,0 +1,46 @@
+#!/usr/bin/env python3
+from bitten import *
+import numpy as np
+
+constraints, tol = (
+    lambda *p: 2.0 * p[0] + 2.0 * p[1] + p[9] + p[10] - 10.0,
+    lambda *p: 2.0 * p[0] + 2.0 * p[2] + p[9] + p[11] - 10.0,
+    lambda *p: 2.0 * p[1] + 2.0 * p[2] + p[10] + p[11] - 10.0,
+    lambda *p: -8.0 * p[0] + p[9],
+    lambda *p: -8.0 * p[1] + p[10],
+    lambda *p: -8.0 * p[2] + p[11],
+    lambda *p: -2.0 * p[3] - p[4] + p[9],
+    lambda *p: -2.0 * p[5] - p[6] + p[10],
+    lambda *p: -2.0 * p[7] - p[8] + p[11],
+), 1e-15
+
+
+@bite(Minimize(), Constrain(*constraints, tol=tol), _debug=True)
+def fun(
+    p0=Bound(0.0, 1.0),
+    p1=Bound(0.0, 1.0),
+    p2=Bound(0.0, 1.0),
+    p3=Bound(0.0, 1.0),
+    p4=Bound(0.0, 1.0),
+    p5=Bound(0.0, 1.0),
+    p6=Bound(0.0, 1.0),
+    p7=Bound(0.0, 1.0),
+    p8=Bound(0.0, 1.0),
+    p9=Bound(0.0, 100.0),
+    pA=Bound(0.0, 100.0),
+    pB=Bound(0.0, 100.0),
+    pC=Bound(0.0, 1.0),
+):
+    p = (p0, p1, p2, p3, p4, p5, p6, p7, p8, p9, pA, pB, pC)
+    s1, s2, s3 = 0.0, 0.0, 0.0
+    for i in range(4):
+        s1 += p[i]
+        s2 += np.square(p[i])
+    for i in range(4, 13):
+        s3 += p[i]
+    return 5.0 * s1 - 5.0 * s2 - s3
+
+
+print("solution:", fun())
+for k, v in fun.__optimized__.items():
+    print(f"{k:>4}: {v:.8f}")
diff --git a/bitten/test_e.py b/bitten/test_e.py
new file mode 100644
index 0000000..a381718
--- /dev/null
+++ b/bitten/test_e.py
@@ -0,0 +1,14 @@
+#!/usr/bin/env python3
+from bitten import *
+
+@bite(Minimize(0), budget=1_000, _debug=True)
+def nothing(x):
+    return 420.69
+
+print("OPTIMIZED:", nothing.__optimized__, "RESULT:", nothing.__result__, sep="\n")
+
+@bite(Minimize(1, 2), budget=1_000, _debug=True)
+def nothing(a, b):
+    return a + b
+
+print("OPTIMIZED:", nothing.__optimized__, "RESULT:", nothing.__result__, sep="\n")