Updated fel test to run faster

This commit is contained in:
Sebastian Kloth 2024-02-26 14:14:29 +01:00
parent 5e80701562
commit 93d020a4de

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@ -15,46 +15,34 @@ def trajectory(request):
def test_get_fel(trajectory):
test_array = np.array(
[
174.46253634,
174.60905476,
178.57658092,
182.43001192,
180.57916378,
176.49886217,
178.96018547,
181.13561782,
178.31026314,
176.08903996,
180.71215345,
181.59703135,
180.34329368,
187.02474488,
197.99167477,
214.05788031,
245.58571282,
287.52457507,
331.53492965,
184.4909136,
233.79320471,
223.12003988,
228.49746397,
200.5626769,
212.82484221,
165.10818396,
170.74123681,
175.86672931,
]
)
OW = trajectory.subset(atom_name="OW")
box = trajectory[0].box
box_voxels = (np.diag(box) // [0.05, 0.05, 0.05] + [1, 1, 1]) * [0.05, 0.05, 0.05]
occupation_matrix = fel.occupation_matrix(OW, skip=0, segments=1000)
occupation_matrix = fel.occupation_matrix(OW, skip=0, segments=10)
radius_maxima = 0.05 * 3 ** (1 / 2) + 0.05 / 100
maxima_matrix = fel.find_maxima(
occupation_matrix,
box=box_voxels,
radius=radius_maxima,
pore_geometry="cylindrical"
pore_geometry="cylindrical",
)
maxima_matrix = fel.add_distances(maxima_matrix, "cylindrical", np.diag(box) / 2)
r_bins = np.arange(0, 1, 0.02)
distance_bins = np.arange(0.05, 2.05, 0.1)
r_bins = np.arange(0, 0.5, 0.02)
distance_bins = np.arange(1.8, 1.9, 0.01)
energy_df = fel.distance_resolved_energies(
maxima_matrix, distance_bins, r_bins, box, "cylindrical", 225
)
result = fel.find_energy_maxima(energy_df, r_min=0.05, r_max=0.15)
assert (np.round(np.array(result["energy"])) == np.round(test_array)).all()