Merge branch 'mdeval_dev'

# Conflicts:
#	.gitignore
#	doc/conf.py
#	examples/plot_chi4.py
#	examples/plot_isf.py
#	examples/plot_spatialisf.py
#	examples/plot_temperature.py
#	src/mdevaluate/cli.py
#	src/mdevaluate/correlation.py
#	src/mdevaluate/distribution.py
#	src/mdevaluate/functions.py
#	test/test_atoms.py
This commit is contained in:
2024-01-16 16:54:54 +01:00
49 changed files with 2231 additions and 3310 deletions

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@ -2,6 +2,7 @@ from mdevaluate import atoms
def test_compare_regex():
assert not atoms.compare_regex(["OW"], "O")[0]
assert not atoms.compare_regex(["WO"], "O")[0]
assert atoms.compare_regex(["O"], "O")[0]
assert atoms.compare_regex(['OW', ], 'O')[0]
assert not atoms.compare_regex(['OW', ], 'O$')[0]
assert not atoms.compare_regex(['WO', ], 'O')[0]
assert atoms.compare_regex(['O', ], 'O')[0]

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@ -0,0 +1,54 @@
import os
import pytest
import numpy as np
import mdevaluate
import mdevaluate.extra.free_energy_landscape as fel
@pytest.fixture
def trajectory(request):
return mdevaluate.open(os.path.join(os.path.dirname(__file__), "data/pore"))
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,
]
)
OW = trajectory.subset(atom_name="OW")
box = np.diag(trajectory[0].box)
box_voxels = (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)
maxima_matrix = fel.find_maxima(occupation_matrix, box=box_voxels, edge_length=0.05)
maxima_matrix = fel.add_distances(maxima_matrix, "cylindrical", box / 2)
r_bins = np.arange(0, 2, 0.02)
distance_bins = np.arange(0.05, 2.05, 0.1)
energy_df = fel.distance_resolved_energies(
maxima_matrix, distance_bins, r_bins, box, 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()

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@ -31,16 +31,3 @@ def test_filon_fourier_transformation(logdata):
xdata, xdata, frequencies=freqs, derivative="linear", imag=False
)
assert np.isclose(filon_imag.real, filon_real).all()
def test_histogram():
data = np.random.rand(100)
bins = np.linspace(0, 1)
np_hist = np.histogram(data, bins=bins)[0]
ut_hist = utils.histogram(data, bins=bins)[0]
assert (np_hist == ut_hist).all()
bins = np.linspace(0.3, 1.5)
np_hist = np.histogram(data, bins=bins)[0]
ut_hist = utils.histogram(data, bins=bins)[0]
assert (np_hist == ut_hist).all()