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from py_wake.site._site import UniformWeibullSite
import numpy as np
from py_wake.tests import npt
def test_local_wind():
f = [0.035972, 0.039487, 0.051674, 0.070002, 0.083645, 0.064348,
0.086432, 0.117705, 0.151576, 0.147379, 0.10012, 0.05166]
A = [9.176929, 9.782334, 9.531809, 9.909545, 10.04269, 9.593921,
9.584007, 10.51499, 11.39895, 11.68746, 11.63732, 10.08803]
k = [2.392578, 2.447266, 2.412109, 2.591797, 2.755859, 2.595703,
2.583984, 2.548828, 2.470703, 2.607422, 2.626953, 2.326172]
ti = .1
site = UniformWeibullSite(f, A, k, ti, h_ref=50, alpha=.3)
x_i = y_i = np.arange(5)
wdir_lst = np.arange(0, 360, 90)
wsp_lst = np.arange(3, 6)
WD_ilk, WS_ilk, TI_ilk, P_lk = site.local_wind(x_i=x_i, y_i=y_i, wd=wdir_lst, ws=wsp_lst)
WD_ilk, WS_ilk, TI_ilk, P_lk = site.local_wind(x_i=x_i, y_i=y_i)
npt.assert_array_equal(site.elevation(x_i=x_i, y_i=y_i), np.zeros_like(x_i))
npt.assert_equal(site.local_wind(x_i=x_i, y_i=y_i, wd=[0], ws=[10])[-1] * 2,
site.local_wind(x_i=x_i, y_i=y_i, wd=[0], ws=[10], wd_bin_size=2)[-1])
npt.assert_equal(site.local_wind(x_i=x_i, y_i=y_i, wd=[0], ws=[9, 10, 11])[-1].sum(),
site.local_wind(x_i=x_i, y_i=y_i, wd=[0], ws=[10], ws_bin_size=3)[-1])
z = np.arange(1, 100)
zero = [0] * len(z)
ws = site.local_wind(x_i=zero, y_i=zero, h_i=z, wd=[0], ws=[10])[1][:, 0, 0]
ws70 = site.local_wind(x_i=zero, y_i=zero, h_i=z, wd=[0], ws=[10], h_ref=70)[1][:, 0, 0]
if 0:
import matplotlib.pyplot as plt
plt.plot(ws, z)
plt.plot(ws70, z)
plt.show()
npt.assert_array_equal(10 * (z / 50)**.3, ws)
npt.assert_array_equal(10 * (z / 70)**.3, ws70)
def test_site():
with pytest.raises(NotImplementedError, match="interp_method=missing_method not implemeted yet."):
site = UniformWeibullSite([1], [10], [2], .75, interp_method='missing_method')