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Commit fb65e61c authored by Mads M. Pedersen's avatar Mads M. Pedersen
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fix codestyle

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py_wake/tests/test_sites/test_xrsite.py
+ 39
− 41
View file @ fb65e61c
......@@ -496,20 +496,19 @@ def test_interp_special_cases():
def test_from_pywasp_pwc():
A = np.array([
[ 5.757, 6.088, 5.369],
[ 5.584, 5.806, 5.358],
[ 7.506, 7.707, 7.098],
[ 9.383, 10.082, 11.018],
[ 8.835, 9.644, 10.244],
[ 6.464, 7.071, 7.066],
[ 6.265, 6.626, 5.846],
[ 7.562, 7.858, 7.289],
[10.005, 10.42 , 10.124],
A = np.array([
[5.757, 6.088, 5.369],
[5.584, 5.806, 5.358],
[7.506, 7.707, 7.098],
[9.383, 10.082, 11.018],
[8.835, 9.644, 10.244],
[6.464, 7.071, 7.066],
[6.265, 6.626, 5.846],
[7.562, 7.858, 7.289],
[10.005, 10.42, 10.124],
[10.046, 11.211, 12.218],
[ 8.821, 9.624, 10.19 ],
[ 5.948, 6.504, 6.499]
[8.821, 9.624, 10.19],
[5.948, 6.504, 6.499]
])
k = np.array([
......@@ -528,40 +527,40 @@ def test_from_pywasp_pwc():
])
wdfreq = np.array([
[0.0544071 , 0.0532056 , 0.04288784],
[0.0376036 , 0.0355262 , 0.03168268],
[0.0544071, 0.0532056, 0.04288784],
[0.0376036, 0.0355262, 0.03168268],
[0.05400841, 0.05099307, 0.04538284],
[0.08345144, 0.08324289, 0.09760682],
[0.09817267, 0.102156 , 0.1072249 ],
[0.09817267, 0.102156, 0.1072249],
[0.06296581, 0.06525171, 0.06451698],
[0.04901042, 0.04791974, 0.03865756],
[0.06785324, 0.0656789 , 0.05674313],
[0.1384152 , 0.1309593 , 0.1174582 ],
[0.1622368 , 0.1655659 , 0.1941505 ],
[0.1219364 , 0.1269784 , 0.1319477 ],
[0.06993906, 0.07252219, 0.0717409 ]
[0.06785324, 0.0656789, 0.05674313],
[0.1384152, 0.1309593, 0.1174582],
[0.1622368, 0.1655659, 0.1941505],
[0.1219364, 0.1269784, 0.1319477],
[0.06993906, 0.07252219, 0.0717409]
])
sector = np.linspace(0.0, 330.0, 12)
x = np.array([263655.0, 263891.1, 264022.2])
y = np.array([6506601.0, 6506394.0, 6506124.0])
h = np.array([70]*3)
h = np.array([70] * 3)
pwc = xr.Dataset(
data_vars={
"A": (("sector", "point"), A),
"k": (("sector", "point"), k),
"wdfreq": (("sector", "point"), wdfreq),
"turbulence_intensity": (("sector", "point"), np.zeros_like(A)),
},
"A": (("sector", "point"), A),
"k": (("sector", "point"), k),
"wdfreq": (("sector", "point"), wdfreq),
"turbulence_intensity": (("sector", "point"), np.zeros_like(A)),
},
coords={
"sector": (("sector",), sector),
"sector_floor": (("sector",), np.mod(sector - 15, 360)),
"sector_ceil": (("sector",), np.mod(sector + 15, 360)),
"point": (("point"), np.arange(len(x))),
"west_east": (("point",), x),
"south_north": (("point",), y),
"sector_floor": (("sector",), np.mod(sector - 15, 360)),
"sector_ceil": (("sector",), np.mod(sector + 15, 360)),
"point": (("point"), np.arange(len(x))),
"west_east": (("point",), x),
"south_north": (("point",), y),
"height": (("point",), h)
}
)
......@@ -570,14 +569,14 @@ def test_from_pywasp_pwc():
speedups = np.array([
[0.94574503, 0.96176405, 0.97405529, 0.85145872, 0.86463324,
0.91415641, 0.94562806, 0.962134 , 0.9601336 , 0.82210133,
0.86466306, 0.91451415, 0.94574503],
[1. , 1. , 1. , 0.9150481 , 0.94375361,
1. , 1. , 1. , 1. , 0.91755896,
0.94337573, 1. , 1. ],
[0.8811313 , 0.92283872, 0.92266141, 1. , 1. ,
0.99929289, 0.88201829, 0.92721526, 0.97155348, 1. ,
1. , 0.99923124, 0.8811313 ]
0.91415641, 0.94562806, 0.962134, 0.9601336, 0.82210133,
0.86466306, 0.91451415, 0.94574503],
[1., 1., 1., 0.9150481, 0.94375361,
1., 1., 1., 1., 0.91755896,
0.94337573, 1., 1.],
[0.8811313, 0.92283872, 0.92266141, 1., 1.,
0.99929289, 0.88201829, 0.92721526, 0.97155348, 1.,
1., 0.99923124, 0.8811313]
])
wd = np.linspace(0.0, 360.0, 13)
......@@ -592,4 +591,3 @@ def test_from_pywasp_pwc():
npt.assert_array_equal(site.ds.i.values, i)
npt.assert_array_equal(site.ds.wd.values, wd)
npt.assert_allclose(site.ds.Speedup.values, speedups, rtol=1e-8)
\ No newline at end of file
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