def test_optimize(tf):
# plot_comp = DummyCostPlotComp(optimal)
plot_comp = NoPlot()
tf = tf(plot_comp=plot_comp)
cost = tf.optimize()[0]
plot_comp.show()
assert cost < 1e6
np.testing.assert_array_almost_equal(tf.turbine_positions, optimal[:, :2],
3)
def testPolygonTwoRegionsStartInWrong():
optimal = [(1, 1), (4, 1)]
boundary = [(0, 0), (5, 0), (5, 2), (3, 2), (3, 0), (2, 0), (2, 2), (0, 2),
(0, 0)]
plot_comp = NoPlot() # DummyCostPlotComp(optimal, delay=.1)
initial = [(3.5, 1.5), (0.5, 1.5)]
tf = get_tf(initial, optimal, boundary, plot_comp)
tf.optimize()
plot_comp.show()
np.testing.assert_array_almost_equal(tf.turbine_positions[:, :2], optimal,
4)
def testPolygonConcave():
optimal = [(1.5, 1.3), (4, 1)]
boundary = [(0, 0), (5, 0), (5, 2), (3, 2), (3, 1), (2, 1), (2, 2), (0, 2),
(0, 0)]
plot_comp = NoPlot() # DummyCostPlotComp(optimal)
initial = [(-0, .1), (4, 1.5)][::-1]
tf = get_tf(initial, optimal, boundary, plot_comp)
tf.optimize()
np.testing.assert_array_almost_equal(tf.turbine_positions[:, :2], optimal,
4)
plot_comp.show()
def testPolygonConcave():
optimal = [(1.5, 1.3), (4, 1)]
boundary = [(0, 0), (5, 0), (5, 2), (3, 2), (3, 1), (2, 1), (2, 2), (0, 2),
(0, 0)]
plot_comp = NoPlot() # DummyCostPlotComp(optimal)
initial = [(-0, .1), (4, 1.5)][::-1]
tf = TopFarm(initial,
DummyCost(optimal, inputs=['x', 'y']),
0,
boundary=boundary,
boundary_type='polygon',
plot_comp=plot_comp,
driver=EasyScipyOptimizeDriver(tol=1e-8, disp=False))
tf.evaluate()
tf.optimize()
np.testing.assert_array_almost_equal(tf.turbine_positions[:, :2], optimal,
4)
plot_comp.show()
def testPolygonTwoRegionsStartInWrong():
optimal = [(1, 1), (4, 1)]
boundary = [(0, 0), (5, 0), (5, 2), (3, 2), (3, 0), (2, 0), (2, 2), (0, 2),
(0, 0)]
plot_comp = NoPlot()
# plot_comp = DummyCostPlotComp(optimal, delay=.1)
initial = [(3.5, 1.5), (0.5, 1.5)]
tf = TopFarm(initial,
DummyCost(optimal, inputs=['x', 'y']),
0,
boundary=boundary,
boundary_type='polygon',
plot_comp=plot_comp,
driver=EasyScipyOptimizeDriver(tol=1e-6, disp=False))
tf.optimize()
plot_comp.show()
np.testing.assert_array_almost_equal(tf.turbine_positions[:, :2], optimal,
4)
