diff --git a/pysheaf/logic_example.py b/pysheaf/logic_example.py
new file mode 100644
index 0000000..721f119
--- /dev/null
+++ b/pysheaf/logic_example.py
@@ -0,0 +1,32 @@
+import json
+import numpy as np
+import networkx as nx
+import pysheaf as ps
+import matplotlib.pyplot as plt
+
+netlist=json.load(open('logic_netlist.json'))
+
+shf = ps.Sheaf()
+shf.fromNetlist(netlist)
+shf.mNumpyNormType = 2
+
+pos=nx.layout.spring_layout(shf)
+nx.draw_networkx_labels(shf,pos)
+nx.draw_networkx_edges(shf,pos)
+plt.show()
+
+for a in [0,1]:
+    for b in [0,1]:
+        for c in [0,1]:
+            q = min((1-a*b)+c,1)
+
+            shf.GetCell('A').SetDataAssignment(ps.Assignment('cell',np.array((a,))))
+            shf.GetCell('B').SetDataAssignment(ps.Assignment('cell',np.array((b,))))
+            shf.GetCell('C').SetDataAssignment(ps.Assignment('cell',np.array((c,))))
+
+            shf.FuseAssignment()
+
+            qp = shf.GetCell('Q').mDataAssignment
+            
+            print('A={}, B={}, C={},  Q={} =?= {} '.format(a,b,c,q,qp))
+            
diff --git a/pysheaf/logic_netlist.json b/pysheaf/logic_netlist.json
new file mode 100644
index 0000000..296db62
--- /dev/null
+++ b/pysheaf/logic_netlist.json
@@ -0,0 +1,67 @@
+{ "AND2" : { "data_dimension" : 2,
+	     "bounds" : "[(0,1)]*2",
+	     "ports" : { "IN1" : "lambda x: x[0]",
+			 "IN2" : "lambda x: x[1]",
+			 "OUT" : "lambda x: x[0]*x[1]" }
+	   },
+  "OR2" : { "data_dimension" : 2,
+	    "bounds" : "[(0,1)]*2",
+	    "ports" : { "IN1" : "lambda x: x[0]",
+			"IN2" : "lambda x: x[1]",
+			"OUT" : "lambda x: min(x[0]+x[1],1)" }
+	  },
+  "NOT" : { "data_dimension" : 1,
+	    "bounds" : "[(0,1)]",
+	    "ports" : { "IN" : "lambda x: x[0]",
+			"OUT" : "lambda x: 1-x[0]" }
+	  },
+  "A": { "data_dimension" : 1,
+	 "bounds" : "[(0,1)]",
+	 "optimize" : 0,
+	 "connections" : [
+	     { "part" : "AND2",
+	       "port" : "IN1"}
+	 ]
+       },
+  "B": { "data_dimension" : 1,
+	 "bounds" : "[(0,1)]",
+	 "optimize" : 0,
+	 "connections" : [
+	     { "part" : "AND2",
+	       "port" : "IN2"}
+	 ]
+       },
+  "C" : { "data_dimension" : 1,
+	  "bounds" : "[(0,1)]",
+	  "optimize" : 0,
+	  "connections" : [
+    	      { "part" : "OR2",
+		"port" : "IN1"}
+	  ]
+	},
+  "E" : { "data_dimension" : 1,
+	  "bounds" : "[(0,1)]",
+	  "connections" : [
+	      { "part" : "AND2",
+		"port" : "OUT"},
+	      { "part" : "NOT",
+		"port" : "IN"}
+	  ]
+	},
+  "F" : { "data_dimension" : 1,
+	  "bounds" : "[(0,1)]",
+	  "connections" : [
+	      { "part" : "NOT",
+		"port" : "OUT"},
+	      { "part" : "OR2",
+		"port" : "IN2"}
+	  ]
+	},
+  "Q" : { "data_dimension" : 1,
+	  "bounds" : "[(0,1)]",
+	  "connections" : [
+	      { "part" : "OR2",
+		"port" : "OUT"}
+	  ]
+	}
+}