format on save

GPy/testing/variational_tests.py

@@ -1,4 +1,4 @@
-'''
+"""
 Copyright (c) 2015, Max Zwiessele
 All rights reserved.
 
@@ -26,38 +26,40 @@ SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
 CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
 OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
 OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-'''
+"""
 import unittest
 import GPy, numpy as np
 
-class KLGrad(GPy.core.Model):
-            def __init__(self, Xvar, kl):   
-                super(KLGrad, self).__init__(name="klgrad")     
-                self.kl = kl
-                self.link_parameter(Xvar)
-                self.Xvar = Xvar
-                self._obj = 0
-            def parameters_changed(self):
-                self.Xvar.gradient[:] = 0
-                self.kl.update_gradients_KL(self.Xvar)
-                self._obj = self.kl.KL_divergence(self.Xvar)
-            def objective_function(self):
-                return self._obj
-        
-class Test(unittest.TestCase):
 
+class KLGrad(GPy.core.Model):
+    def __init__(self, Xvar, kl):
+        super(KLGrad, self).__init__(name="klgrad")
+        self.kl = kl
+        self.link_parameter(Xvar)
+        self.Xvar = Xvar
+        self._obj = 0
+
+    def parameters_changed(self):
+        self.Xvar.gradient[:] = 0
+        self.kl.update_gradients_KL(self.Xvar)
+        self._obj = self.kl.KL_divergence(self.Xvar)
+
+    def objective_function(self):
+        return self._obj
+
+
+class Test(unittest.TestCase):
     def setUp(self):
         np.random.seed(12345)
         self.Xvar = GPy.core.parameterization.variational.NormalPosterior(
-            np.random.uniform(0,1,(10,3)), 
+            np.random.uniform(0, 1, (10, 3)), np.random.uniform(1e-5, 0.01, (10, 3))
-            np.random.uniform(1e-5,.01, (10,3))
+        )
-            )
-
 
     def testNormal(self):
         klgrad = KLGrad(self.Xvar, GPy.core.parameterization.variational.NormalPrior())
         np.testing.assert_(klgrad.checkgrad())
 
+
 if __name__ == "__main__":
-    #import sys;sys.argv = ['', 'Test.testNormal']
+    # import sys;sys.argv = ['', 'Test.testNormal']
-    unittest.main()
+    unittest.main()