Commit 3c2388cd authored by Jason Reneuve's avatar Jason Reneuve
Browse files

fixes

parent 87d1f27dc465
Pipeline #20725 failed with stage
in 7 minutes and 42 seconds
......@@ -215,9 +215,7 @@ class TestForcingOutput(TestSimulBase):
energy_K_mean = means["EK"].mean()
sim2.output.temporal_spectra.load_time_series()
tspectra_mean = (
sim2.output.temporal_spectra.compute_temporal_spectra()
)
tspectra_mean = sim2.output.temporal_spectra.compute_spectra()
omegas = tspectra_mean["omegas"]
delta_omega = omegas[1]
sim2.output.temporal_spectra.plot_spectra()
......
......@@ -375,18 +375,20 @@ class SpatioTemporalSpectraNS3D(SpatioTemporalSpectra):
N = self.sim.params.N
except AttributeError:
return
dkz_dkh = (
dkh_over_dkz = (
spectra_kzkhomega["kz_spectra"][1]
/ spectra_kzkhomega["kh_spectra"][1]
)
if equation.startswith(r"$\omega"):
ikz_disp = np.sqrt(N ** 2 / omega ** 2 - 1) / dkz_dkh * xaxis
ikz_disp = np.sqrt(N ** 2 / omega ** 2 - 1) / dkh_over_dkz * xaxis
ax.plot(xaxis, ikz_disp, "k+", linewidth=2)
elif equation.startswith(r"$k_h"):
omega_disp = ikh / np.sqrt(ikh ** 2 + dkz_dkh ** 2 * xaxis ** 2)
omega_disp = ikh / np.sqrt(ikh ** 2 + dkh_over_dkz ** 2 * xaxis ** 2)
ax.plot(xaxis, omega_disp, "k+", linewidth=2)
elif equation.startswith(r"$k_z"):
omega_disp = xaxis / np.sqrt(xaxis ** 2 + dkz_dkh ** 2 * ikz ** 2)
omega_disp = xaxis / np.sqrt(
xaxis ** 2 + dkh_over_dkz ** 2 * ikz ** 2
)
ax.plot(xaxis, omega_disp, "k+", linewidth=2)
else:
raise ValueError("wrong equation for dispersion relation")
......
......@@ -290,48 +290,56 @@ class TestOutput(TestSimulBase):
]
spectrum_kzkhomega = spectra_kzkhomega["spectrum_v" + letter]
Etot_series_kxkykz = 0.5 * sum_wavenumber(
E_series_kxkykz = 0.5 * sum_wavenumber(
(abs(vi_fft) ** 2).mean(axis=-1)
)
assert Etot_series_kxkykz > 0, (letter, vi_fft)
assert E_series_kxkykz > 0, (letter, vi_fft)
Etot_kxkykzomega = (
E_kxkykzomega = (
0.5
* delta_omega
* sum_wavenumber(spectrum_kxkykzomega.sum(axis=-1))
)
Etot_omega = 0.5 * delta_omega * spectrum_omega.sum()
Etot_kzkhomega = 0.5 * coef * spectrum_kzkhomega.sum()
E_omega = 0.5 * delta_omega * spectrum_omega.sum()
E_kzkhomega = 0.5 * coef * spectrum_kzkhomega.sum()
# `:-1` because the last time is saved twice in spatial_means
Etot_mean = means["E" + letter][:-1].mean()
E_mean = means["E" + letter][:-1].mean()
assert np.allclose(Etot_omega, Etot_kxkykzomega), (
assert np.allclose(E_omega, E_kxkykzomega), (
letter,
Etot_kxkykzomega / Etot_mean,
E_kxkykzomega / E_mean,
)
assert np.allclose(Etot_series_kxkykz, Etot_kxkykzomega), (
assert np.allclose(E_series_kxkykz, E_kxkykzomega), (
letter,
Etot_kxkykzomega / Etot_series_kxkykz,
E_kxkykzomega / E_series_kxkykz,
)
assert np.allclose(Etot_series_kxkykz, Etot_kzkhomega), (
assert np.allclose(E_series_kxkykz, E_kzkhomega), (
letter,
Etot_kzkhomega / Etot_series_kxkykz,
E_kzkhomega / E_series_kxkykz,
)
assert np.allclose(Etot_mean, Etot_series_kxkykz), (
assert np.allclose(E_mean, E_series_kxkykz), (
letter,
Etot_series_kxkykz / Etot_mean,
E_series_kxkykz / E_mean,
)
assert np.allclose(
spectrum_omega, spectrum_omega_from_spatiotemp
# assert np.allclose(
# spectrum_omega, spectrum_omega_from_spatiotemp
# ), (
# letter,
# spectrum_omega,
# spectrum_omega_from_spatiotemp,
# spectrum_omega / spectrum_omega_from_spatiotemp,
# )
assert (
spectrum_omega.sum() == spectrum_omega_from_spatiotemp.sum()
), (
letter,
spectrum_omega,
spectrum_omega_from_spatiotemp,
spectrum_omega / spectrum_omega_from_spatiotemp,
spectrum_omega.sum(),
spectrum_omega_from_spatiotemp.sum(),
)
spectrum_Khd = spectra_kzkhomega["spectrum_Khd"]
......
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