diff --git a/cython/tests.py b/cython/tests.py
deleted file mode 100644
index 9e538c625..000000000
--- a/cython/tests.py
+++ /dev/null
@@ -1,71 +0,0 @@
-from gtsam import *
-import numpy as np
-
-r = Rot3()
-print(r)
-print(r.pitch())
-r2 = Rot3()
-r3 = r.compose(r2)
-print("r3 pitch:", r3.pitch())
-
-v = np.array([.1, .1, .1])
-print("v = ", v)
-r4 = r3.retract(v)
-print("r4 pitch:", r4.pitch())
-r4.print_(b'r4: ')
-r3.print_(b"r3: ")
-
-v = r3.localCoordinates(r4)
-print("localCoordinates:", v)
-
-Rmat = np.array([
-    [0.990074, -0.0942928, 0.104218], 
-    [0.104218,  0.990074, -0.0942928], 
-    [-0.0942928, 0.104218, 0.990074]
-    ])
-r5 = Rot3(R=Rmat)
-r5.print_(b"r5: ")
-
-l = Rot3.Logmap(r5)
-print("l = ", l)
-
-
-noise = noiseModel_Gaussian.Covariance(Rmat)
-noise.print_(b"noise:")
-
-D = np.array([1.,2.,3.])
-diag = noiseModel_Diagonal.Variances(D)
-print("diag:", diag)
-diag.print_(b"diag:")
-print("diag R:", diag.R())
-
-p = Point3()
-p.print_("p:")
-factor = BetweenFactorPoint3(1,2,p, noise)
-factor.print_(b"factor:")
-
-vv = VectorValues()
-vv.print_(b"vv:")
-vv.insert(1, np.array([1.,2.,3.]))
-vv.insert(2, np.array([3.,4.]))
-vv.insert(3, np.array([5.,6.,7.,8.]))
-vv.print_(b"vv:")
-
-vv2 = VectorValues(vv)
-vv2.insert(4, np.array([4.,2.,1]))
-vv2.print_(b"vv2:")
-vv.print_(b"vv:")
-
-vv.insert(4, np.array([1.,2.,4.]))
-vv.print_(b"vv:")
-vv3 = vv.add(vv2)
-
-vv3.print_(b"vv3:")
-
-values = Values()
-values.insertPoint3(1, Point3())
-values.insertRot3(2, Rot3())
-values.print_(b"values:")
-
-factor = PriorFactorVector(1, np.array([1.,2.,3.]), diag)
-print "Prior factor vector: ", factor