File size: 2,021 Bytes
f421c2e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | import sys
import numpy as np
import numpy.testing as nt
import pytest
import openpnm as op
class SolversTest:
def setup_class(self):
np.random.seed(0)
self.net = op.network.Cubic(shape=[3, 4, 5])
mods = op.models.collections.geometry.spheres_and_cylinders
self.net.add_model_collection(mods)
self.net.regenerate_models()
self.phase = op.phase.Phase(network=self.net)
self.phase['throat.conductance'] = np.linspace(1, 5, num=self.net.Nt)
self.alg = op.algorithms.Transport(network=self.net, phase=self.phase)
self.alg.settings._update({'quantity': 'pore.x',
'conductance': 'throat.conductance'})
self.alg.set_value_BC(pores=self.net.pores('front'), values=1)
self.alg.set_value_BC(pores=self.net.pores('bottom'), values=0, mode='overwrite')
def test_scipy_spsolve(self):
solver = op.solvers.ScipySpsolve()
self.alg.run(solver=solver)
x = self.alg['pore.x']
nt.assert_allclose(x.mean(), 0.624134, rtol=1e-5)
@pytest.mark.skipif(sys.platform == 'darwin', reason="Pardiso not available on arm64")
def test_pardiso_spsolve(self):
solver = op.solvers.PardisoSpsolve()
self.alg.run(solver=solver)
x = self.alg['pore.x']
nt.assert_allclose(x.mean(), 0.624134, rtol=1e-5)
def test_scipy_cg(self):
solver = op.solvers.ScipyCG()
self.alg.run(solver=solver)
x = self.alg['pore.x']
nt.assert_allclose(x.mean(), 0.624134, rtol=1e-5)
def test_pyamg_ruge_stuben_solver(self):
solver = op.solvers.PyamgRugeStubenSolver()
self.alg.run(solver=solver)
x = self.alg['pore.x']
nt.assert_allclose(x.mean(), 0.624134, rtol=1e-5)
if __name__ == '__main__':
t = SolversTest()
t.setup_class()
self = t
for item in t.__dir__():
if item.startswith('test'):
print(f'Running test: {item}')
t.__getattribute__(item)()
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