mdevaluate/test/test_free_energy_landscape.py

49 lines
1.4 KiB
Python
Raw Normal View History

2023-12-06 09:55:55 +00:00
import os
import pytest
import numpy as np
import mdevaluate
2024-01-10 11:41:18 +00:00
import mdevaluate.extra.free_energy_landscape as fel
2023-12-06 09:55:55 +00:00
@pytest.fixture
def trajectory(request):
return mdevaluate.open(os.path.join(os.path.dirname(__file__), "data/pore"))
2023-12-06 09:55:55 +00:00
def test_get_fel(trajectory):
test_array = np.array(
[
2024-02-26 13:14:29 +00:00
184.4909136,
233.79320471,
223.12003988,
228.49746397,
200.5626769,
212.82484221,
165.10818396,
170.74123681,
175.86672931,
2023-12-06 09:55:55 +00:00
]
)
2024-01-10 11:41:18 +00:00
OW = trajectory.subset(atom_name="OW")
2024-02-08 16:24:22 +00:00
box = trajectory[0].box
box_voxels = (np.diag(box) // [0.05, 0.05, 0.05] + [1, 1, 1]) * [0.05, 0.05, 0.05]
2024-02-26 13:14:29 +00:00
occupation_matrix = fel.occupation_matrix(OW, skip=0, segments=10)
2024-02-08 16:24:22 +00:00
radius_maxima = 0.05 * 3 ** (1 / 2) + 0.05 / 100
maxima_matrix = fel.find_maxima(
occupation_matrix,
box=box_voxels,
radius=radius_maxima,
2024-02-26 13:14:29 +00:00
pore_geometry="cylindrical",
2024-02-08 16:24:22 +00:00
)
maxima_matrix = fel.add_distances(maxima_matrix, "cylindrical", np.diag(box) / 2)
2024-02-26 13:14:29 +00:00
r_bins = np.arange(0, 0.5, 0.02)
distance_bins = np.arange(1.8, 1.9, 0.01)
2024-01-10 11:41:18 +00:00
energy_df = fel.distance_resolved_energies(
2024-02-08 16:24:22 +00:00
maxima_matrix, distance_bins, r_bins, box, "cylindrical", 225
2023-12-06 09:55:55 +00:00
)
2024-01-10 11:41:18 +00:00
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()