Download data/tests/unit/algorithms/TransientReactiveTransportTest.py from introvoyz042/OpenPNM: direct link, hf CLI and curl.
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4.5 kB
| import numpy as np | |
| import numpy.testing as nt | |
| import openpnm as op | |
| from scipy.interpolate import interp1d | |
| class TransientReactiveTransportTest: | |
| def setup_class(self): | |
| np.random.seed(0) | |
| self.net = op.network.Cubic(shape=[3, 3, 1], spacing=1e-6) | |
| self.net.add_model_collection( | |
| op.models.collections.geometry.spheres_and_cylinders) | |
| self.net.regenerate_models() | |
| self.net['pore.volume'] = 1e-12 | |
| self.phase = op.phase.Phase(network=self.net) | |
| self.phase['pore.A'] = -1e-13 | |
| self.phase['pore.k'] = 2 | |
| self.phase['throat.diffusive_conductance'] = 1e-12 | |
| mod = op.models.physics.source_terms.standard_kinetics | |
| self.phase.add_model(propname='pore.reaction', | |
| model=mod, | |
| prefactor='pore.A', | |
| exponent='pore.k', | |
| X='pore.concentration', | |
| regen_mode='deferred') | |
| self.alg = op.algorithms.TransientReactiveTransport(network=self.net, | |
| phase=self.phase) | |
| self.alg.settings._update({'quantity': 'pore.concentration', | |
| 'conductance': 'throat.diffusive_conductance'}) | |
| self.alg.set_value_BC(pores=self.net.pores('front'), values=2) | |
| self.alg.set_source(propname='pore.reaction', pores=self.net.pores('back')) | |
| def test_transient_reactive_transport(self): | |
| self.alg.run(x0=0, tspan=(0, 1)) | |
| desired = 1.13133 | |
| actual = self.alg.x.mean() | |
| nt.assert_allclose(actual, desired, rtol=1e-5) | |
| def test_transient_solution(self): | |
| self.alg.run(x0=0, tspan=(0, 1), saveat=0.1) | |
| from openpnm.algorithms._solution import TransientSolution | |
| quantity = self.alg.settings['quantity'] | |
| # Ensure solution object is attached to the algorithm | |
| assert isinstance(self.alg.soln[quantity], TransientSolution) | |
| # Test shape | |
| nt.assert_array_equal(self.alg.soln[quantity].shape, (self.alg.Np, 11)) | |
| # Test stored time points | |
| nt.assert_array_equal(self.alg.soln[quantity].t, np.arange(0, 1.1, 0.1)) | |
| # Ensure solution is callable (i.e., interpolates intermediate times) | |
| assert hasattr(self.alg.soln[quantity], "__call__") | |
| # Test solution interpolation | |
| f = interp1d(self.alg.soln[quantity].t, self.alg.soln[quantity]) | |
| nt.assert_allclose(f(0.05), self.alg.soln[quantity](0.05)) | |
| # Ensure no extrapolation | |
| with nt.assert_raises(Exception): | |
| self.alg.soln(1.01) | |
| def test_consecutive_runs_preserves_solution(self): | |
| # Integrate from 0 to 0.3 in two steps | |
| self.alg.run(x0=0, tspan=(0, 0.1)) | |
| self.alg.run(x0=self.alg.x, tspan=(0.1, 0.3)) | |
| out1 = self.alg.soln | |
| # Integrate from 0 to 0.3 in one go | |
| self.alg.run(x0=0, tspan=(0, 0.3)) | |
| out2 = self.alg.soln | |
| # Ensure the results match | |
| quantity = self.alg.settings['quantity'] | |
| nt.assert_allclose(out1[quantity](0.3), out2[quantity](0.3), rtol=1e-5) | |
| def test_adding_bc_over_sources(self): | |
| with nt.assert_raises(Exception): | |
| self.alg.set_value_BC(pores=self.net.pores("right"), values=0.3) | |
| def test_adding_sources_over_bc(self): | |
| with nt.assert_raises(Exception): | |
| self.alg.set_source(propname='pore.reaction', | |
| pores=self.net.pores('left')) | |
| def test_ensure_settings_are_valid(self): | |
| alg = op.algorithms.TransientReactiveTransport(network=self.net, | |
| phase=self.phase) | |
| # Commenting the next bits until settings are settled | |
| # with nt.assert_raises_regex(Exception, r".*quantity.*"): | |
| # alg.run(x0=0, tspan=(0, 1)) | |
| # alg.settings['quantity'] = 'pore.concentration' | |
| # with nt.assert_raises_regex(Exception, r".*conductance.*"): | |
| # alg.run(x0=0, tspan=(0, 1)) | |
| # alg.settings['conductance'] = 'throat.diffusive_conductance' | |
| # alg.run(x0=0, tspan=(0, 1)) | |
| def teardown_class(self): | |
| ws = op.Workspace() | |
| ws.clear() | |
| if __name__ == '__main__': | |
| t = TransientReactiveTransportTest() | |
| t.setup_class() | |
| self = t | |
| for item in t.__dir__(): | |
| if item.startswith('test'): | |
| print(f'Running test: {item}') | |
| t.__getattribute__(item)() | |