def test_interp_funcs_initialization_missing_key(site):
site = ParqueFicticioSite(distance=TerrainFollowingDistance2())
site.interp_funcs_initialization(['missing'])
plt.plot(wasp_aep_no_density_correction / 1000, '.-', label='WAsP')
plt.plot(AEP_ilk.sum((0, 2)) * 1e3, label='PyWake')
plt.xlabel('Sector')
plt.ylabel('AEP [MWh]')
plt.legend()
plt.show()
npt.assert_array_less(
np.abs(wasp_aep_no_density_correction - AEP_ilk.sum((0, 2)) * 1e6),
300)
npt.assert_almost_equal(AEP_ilk.sum(),
wasp_aep_no_density_correction_total, 3)
@pytest.mark.parametrize(
'site,dw_ref',
[(ParqueFicticioSite(distance=TerrainFollowingDistance2()), [
0., 207.3842238, 484.3998264, 726.7130743, 1039.148129, 1263.1335982,
1490.3841602, 1840.6508086
]),
(ParqueFicticioSite(distance=TerrainFollowingDistance()), [
0, 209.803579, 480.8335365, 715.6003233, 1026.9476322, 1249.5510034,
1475.1467251, 1824.1317343
]),
(ParqueFicticioSite(distance=StraightDistance()),
[-0, 207, 477, 710, 1016, 1236, 1456, 1799])])
def test_distances(site, dw_ref):
x, y = site.initial_position.T
dw_ijl, cw_ijl, dh_ijl, _ = site.distances(src_x_i=x,
src_y_i=y,
src_h_i=np.array([70]),
dst_x_j=x,
def site2():
site = ParqueFicticioSite(distance=TerrainFollowingDistance2())
x, y = site.initial_position.T
return site, x, y
def __init__(self):
ParqueFicticioSite.__init__(self, distance=TerrainFollowingDistance2())
