update layout optimization examples

examples/15_optimize_layout.py

@@ -41,16 +41,9 @@
 # Setup 72 wind directions with a random wind speed and frequency distribution
 wind_directions = np.arange(0, 360.0, 5.0)
 np.random.seed(1)
-wind_speeds = 8.0 + np.random.randn(1) * 0.5
+wind_speeds = 8.0 + np.random.randn(1) * 0.5 * np.ones_like(wind_directions)
 # Shape frequency distribution to match number of wind directions and wind speeds
-freq = (
-    np.abs(
-        np.sort(
-            np.random.randn(len(wind_directions))
-        )
-    )
-    .reshape( ( len(wind_directions), len(wind_speeds) ) )
-)
+freq = (np.abs(np.sort(np.random.randn(len(wind_directions)))))
 freq = freq / freq.sum()
 
 fi.reinitialize(wind_directions=wind_directions, wind_speeds=wind_speeds)

examples/16c_optimize_layout_with_heterogeneity.py

@@ -44,7 +44,7 @@
 # and 1 wind speed with uniform probability
 wind_directions = [270., 90.]
 n_wds = len(wind_directions)
-wind_speeds = [8.0]
+wind_speeds = [8.0] * np.ones_like(wind_directions)
 # Shape frequency distribution to match number of wind directions and wind speeds
 freq = np.ones((len(wind_directions), len(wind_speeds)))
 freq = freq / freq.sum()
@@ -165,7 +165,7 @@
 print(
     'Turbine geometric yaw angles for wind direction {0:.2f}'.format(wind_directions[1])\
     +' and wind speed {0:.2f} m/s:'.format(wind_speeds[0]),
-    f'{layout_opt.yaw_angles[1,0,:]}'
+    f'{layout_opt.yaw_angles[1, :]}'
 )
 
 plt.show()