Download data/tests/unit/network/NetworkHealthCheckTest.py from introvoyz042/OpenPNM: direct link, hf CLI and curl.
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5.21 kB
| import numpy as np | |
| import openpnm as op | |
| from openpnm.topotools import extend, trim | |
| class CheckNetworkHealthTest: | |
| def setup_class(self): | |
| pass | |
| def test_check_network_health_healthy(self): | |
| net = op.network.Cubic(shape=[2, 2, 2]) | |
| a = op.utils.check_network_health(net) | |
| items = set(['headless_throats', | |
| 'looped_throats', | |
| 'isolated_pores', | |
| 'disconnected_pores', | |
| 'duplicate_throats', | |
| 'bidirectional_throats']) | |
| assert items == a.keys() | |
| assert np.size(list(a.values())) == 0 | |
| def test_check_network_health_one_isolated_cluster(self): | |
| net = op.network.Cubic(shape=[5, 5, 5]) | |
| Ps = net['pore.coords'][:, 2] == 2.5 | |
| Ps = Ps*(net['pore.coords'][:, 1] > 2.5) | |
| Ts = net.find_neighbor_throats(pores=Ps, mode='exclusive_or') | |
| trim(network=net, throats=Ts) | |
| a = op.utils.check_network_health(net) | |
| assert len(a['disconnected_pores']) == 10 | |
| def test_check_network_health_two_isolated_clusters(self): | |
| net = op.network.Cubic(shape=[5, 5, 5]) | |
| # Create first isolated cluster | |
| Ps = net['pore.coords'][:, 2] == 2.5 | |
| Ps = Ps*(net['pore.coords'][:, 1] > 2.5) | |
| Ts = net.find_neighbor_throats(pores=Ps, mode='exclusive_or') | |
| trim(network=net, throats=Ts) | |
| # Create a second isolated cluster | |
| Ps = net['pore.coords'][:, 2] == 3.5 | |
| Ps = Ps*(net['pore.coords'][:, 1] < 2.5) | |
| Ts = net.find_neighbor_throats(pores=Ps, mode='exclusive_or') | |
| trim(network=net, throats=Ts) | |
| a = op.utils.check_network_health(net) | |
| # assert len(a['disconnected_clusters']) == 3 | |
| assert len(a['disconnected_pores']) == 20 | |
| def test_check_network_health_isolated_pores_and_clusters(self): | |
| net = op.network.Cubic(shape=[5, 5, 5]) | |
| # Create first isolated cluster | |
| Ps = net['pore.coords'][:, 2] == 2.5 | |
| Ps = Ps*(net['pore.coords'][:, 1] > 2.5) | |
| Ts = net.find_neighbor_throats(pores=Ps, mode='exclusive_or') | |
| trim(network=net, throats=Ts) | |
| # Create an isolated pore | |
| Ts = net.find_neighbor_throats(pores=0) | |
| trim(network=net, throats=Ts) | |
| a = op.utils.check_network_health(net) | |
| # Ensure trim_pores has right length | |
| assert len(a['disconnected_pores']) == 11 | |
| # Ensure 0 is listed in trim pores | |
| assert 0 in a['disconnected_pores'] | |
| def test_check_network_health_isolated_pores(self): | |
| net = op.network.Cubic(shape=[5, 5, 5]) | |
| Ts = net.find_neighbor_throats(pores=0) | |
| trim(network=net, throats=Ts) | |
| a = op.utils.check_network_health(net) | |
| assert a['isolated_pores'] == np.array([0]) | |
| trim(network=net, pores=a['disconnected_pores']) | |
| a = op.utils.check_network_health(net) | |
| assert np.size(a['disconnected_pores']) == 0 | |
| def test_check_network_health_duplicate_throat(self): | |
| net = op.network.Cubic(shape=[5, 5, 5]) | |
| P12 = net['throat.conns'][0] | |
| extend(network=net, throat_conns=[P12]) | |
| a = op.utils.check_network_health(net) | |
| assert len(a['duplicate_throats']) == 1 | |
| assert a['duplicate_throats'][0] == 300 | |
| def test_check_network_health_triplicate_throats(self): | |
| net = op.network.Cubic(shape=[5, 5, 5]) | |
| P12 = net['throat.conns'][0] | |
| extend(network=net, throat_conns=[P12]) | |
| extend(network=net, throat_conns=[P12]) | |
| a = op.utils.check_network_health(net) | |
| assert len(a['duplicate_throats']) == 2 | |
| def test_check_network_health_multiple_duplicate_throats(self): | |
| net = op.network.Cubic(shape=[5, 5, 5]) | |
| P12 = net['throat.conns'][0] | |
| extend(network=net, throat_conns=[P12]) | |
| P12 = net['throat.conns'][1] | |
| extend(network=net, throat_conns=[P12]) | |
| a = op.utils.check_network_health(net) | |
| assert len(a['duplicate_throats']) == 2 | |
| def test_check_network_health_bidirectional_throats(self): | |
| net = op.network.Cubic(shape=[5, 5, 5]) | |
| P12 = net['throat.conns'][0] | |
| net['throat.conns'][0] = [P12[1], P12[0]] | |
| a = op.utils.check_network_health(net) | |
| assert np.size(a['bidirectional_throats']) == 1 | |
| assert np.size(a['duplicate_throats']) == 0 | |
| # def test_check_network_health_headless_throats(self): | |
| # net = op.network.Cubic(shape=[5, 5, 5]) | |
| # with pytest.raises(Exception): | |
| # extend(network=net, throat_conns=[[5, 5555]]) | |
| # net['throat.conns'][0] = [5, 5555] | |
| # a = net.check_network_health() | |
| # assert a['headless_throats'] == np.array([0]) | |
| def test_check_network_health_looped_throats(self): | |
| net = op.network.Cubic(shape=[5, 5, 5]) | |
| extend(network=net, throat_conns=[[5, 5]]) | |
| a = op.utils.check_network_health(net) | |
| assert a['looped_throats'] == np.array([300]) | |
| if __name__ == '__main__': | |
| t = CheckNetworkHealthTest() | |
| self = t | |
| t.setup_class() | |
| for item in t.__dir__(): | |
| if item.startswith('test'): | |
| print(f"Running test: {item}") | |
| t.__getattribute__(item)() | |