pep8

observation_sim/mock_objects/FlatLED.py

@@ -137,16 +137,16 @@ class FlatLED(MockObject):
         a1 = flat[0].data[int(ylen*i/5.):int(ylen*i/5.)+int(ylen/5.),
                           int(xlen*j/6.):int(xlen*j/6.)+int(xlen/6.)]
         # z = np.sin((xx+yy+xx**2+yy**2))
-        # fInterp = interp2d(xx, yy, z, kind='linear')        
+        # fInterp = interp2d(xx, yy, z, kind='linear')
         X_ = np.hstack((xx.flatten()[:, None], yy.flatten()[:, None]))
         Z_ = a1.flatten()
         n_x = np.arange(0, self.chip.npix_x, 1)
         n_y = np.arange(0, self.chip.npix_y, 1)
-        M, N = np.meshgrid(n_x, n_y)        
+        M, N = np.meshgrid(n_x, n_y)
         U = griddata(X_, Z_, (
             M[0:self.chip.npix_y, 0:self.chip.npix_x],
             N[0:self.chip.npix_y, 0:self.chip.npix_x]),
-            method='nearest').astype(np.float32)        
+            method='nearest').astype(np.float32)
         U = U/np.mean(U)
         flatImage = U
         if LED_Img_flag: