pep8

observation_sim/mock_objects/FlatLED.py

@@ -147,13 +147,13 @@ class FlatLED(MockObject):
         y_seg_len = 8
         x_seg = int(self.chip.npix_x/x_seg_len)
         y_seg = int(self.chip.npix_y/y_seg_len)
-        U = np.zeros([self.chip.npix_y,self.chip.npix_x],dtype=np.float32)
+        U = np.zeros([self.chip.npix_y, self.chip.npix_x], dtype=np.float32)
         for y_seg_i in np.arange(y_seg_len):
             for x_seg_i in np.arange(x_seg_len):
                 U[y_seg_i*y_seg:(y_seg_i+1)*y_seg, x_seg_i*x_seg:(x_seg_i+1)*x_seg] = griddata(X_, Z_, (
-            M[y_seg_i*y_seg:(y_seg_i+1)*y_seg, x_seg_i*x_seg:(x_seg_i+1)*x_seg],
-            N[y_seg_i*y_seg:(y_seg_i+1)*y_seg, x_seg_i*x_seg:(x_seg_i+1)*x_seg]),
-            method='linear')
+                M[y_seg_i*y_seg:(y_seg_i+1)*y_seg, x_seg_i*x_seg:(x_seg_i+1)*x_seg],
+                N[y_seg_i*y_seg:(y_seg_i+1)*y_seg, x_seg_i*x_seg:(x_seg_i+1)*x_seg]),
+                method='linear')
         # 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]),