Exemple #1
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def test_model_update_insert_component_on_conduit() -> None:
    macro = Component('macro', 'my.macro')
    micro = Component('micro', 'my.micro')
    components = [macro, micro]
    conduit1 = Conduit('macro.intermediate_state', 'micro.initial_state')
    conduit2 = Conduit('micro.final_state', 'macro.state_update')
    conduits = [conduit1, conduit2]
    base = Model('test_update', components, conduits)

    tee = Component('tee', 'muscle3.tee')
    conduit3 = Conduit('macro.intermediate_state', 'tee.input')
    conduit4 = Conduit('tee.output', 'micro.initial_state')
    overlay = Model('test_update_tee', [tee], [conduit3, conduit4])

    base.update(overlay)

    assert len(base.components) == 3
    assert macro in base.components
    assert micro in base.components
    assert tee in base.components

    assert len(base.conduits) == 3
    assert conduit2 in base.conduits
    assert conduit3 in base.conduits
    assert conduit4 in base.conduits
Exemple #2
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def test_model_update_set_implementation() -> None:
    abstract_reaction = Component('reaction')
    base = Model('test_set_impl', [abstract_reaction])
    assert base.components[0].name == 'reaction'
    assert base.components[0].implementation is None

    reaction_python = Component('reaction', 'reaction_python')
    overlay = Model('test_set_impl', [reaction_python])

    base.update(overlay)

    assert len(base.components) == 1
    assert base.components[0].name == 'reaction'
    assert base.components[0].implementation == 'reaction_python'
def test_configuration_update_model4() -> None:
    component1 = Component('macro', 'my.macro')
    model1 = Model('model1', [component1])
    base = Configuration(model1)

    component2 = Component('micro', 'my.micro')
    model2 = Model('model2', [component2])
    overlay = Configuration(model2)

    base.update(overlay)

    assert isinstance(base.model, Model)
    assert base.model == model1
    assert base.model.name == 'model2'
    assert component1 in base.model.components
    assert component2 in base.model.components
Exemple #4
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def test_config5() -> Configuration:
    model = Model(
            'test_model',
            [
                Component('ic', 'isr2d.initial_conditions'),
                Component('smc', 'isr2d.smc'),
                Component('bf', 'isr2d.blood_flow'),
                Component('smc2bf', 'isr2d.smc2bf'),
                Component('bf2smc', 'isr2d.bf2smc')],
            [
                Conduit('ic.out', 'smc.initial_state'),
                Conduit('smc.cell_positions', 'smc2bf.in'),
                Conduit('smc2bf.out', 'bf.initial_domain'),
                Conduit('bf.wss_out', 'bf2smc.in'),
                Conduit('bf2smc.out', 'smc.wss_in')])
    implementations = [
            Implementation(
                Reference('isr2d.initial_conditions'), 'isr2d/bin/ic'),
            Implementation(
                Reference('isr2d.smc'), 'isr2d/bin/smc'),
            Implementation(
                Reference('isr2d.blood_flow'), 'isr2d/bin/bf'),
            Implementation(
                Reference('isr2d.smc2bf'), 'isr2d/bin/smc2bf.py'),
            Implementation(
                Reference('isr2d.bf2smc'), 'isr2d/bin/bf2smc.py')]
    resources = [
            Resources(Reference('isr2d.initial_conditions'), 4),
            Resources(Reference('isr2d.smc'), 4),
            Resources(Reference('isr2d.blood_flow'), 4),
            Resources(Reference('isr2d.smc2bf'), 1),
            Resources(Reference('isr2d.bf2smc'), 1)]

    return Configuration(model, None, implementations, resources)
Exemple #5
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def macro_micro() -> Model:
    macro = Component('macro', 'my.macro')
    micro = Component('micro', 'my.micro')
    components = [macro, micro]
    conduit1 = Conduit('macro.intermediate_state', 'micro.initial_state')
    conduit2 = Conduit('micro.final_state', 'macro.state_update')
    conduits = [conduit1, conduit2]
    return Model('macro_micro', components, conduits)
Exemple #6
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def test_model_update_add_component() -> None:
    macro = Component('macro', 'my.macro')
    base = Model('test_update', [macro])

    micro = Component('micro', 'my.micro')
    conduit1 = Conduit('macro.intermediate_state', 'micro.initial_state')
    conduit2 = Conduit('micro.final_state', 'macro.state_update')
    conduits = [conduit1, conduit2]
    overlay = Model('test_update_add', [micro], conduits)

    base.update(overlay)

    assert len(base.components) == 2
    assert macro in base.components
    assert micro in base.components
    assert conduit1 in base.conduits
    assert conduit2 in base.conduits
def test_configuration_update_model2() -> None:
    model_ref1 = ModelReference('model1')
    base = PartialConfiguration(model_ref1)

    component1 = Component('macro', 'my.macro')
    model2 = Model('model2', [component1])
    overlay = PartialConfiguration(model2)

    base.update(overlay)

    assert base.model == model2
Exemple #8
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def test_model_update_replace_component() -> None:
    macro = Component('macro', 'my.macro')
    micro = Component('micro', 'my.micro')
    components = [macro, micro]
    conduit1 = Conduit('macro.intermediate_state', 'micro.initial_state')
    conduit2 = Conduit('micro.final_state', 'macro.state_update')
    conduits = [conduit1, conduit2]
    base = Model('test_update', components, conduits)

    surrogate = Component('micro', 'my.surrogate')
    overlay = Model('test_update_surrogate', [surrogate])

    base.update(overlay)

    assert len(base.components) == 2
    assert macro in base.components
    assert surrogate in base.components

    assert len(base.conduits) == 2
    assert conduit1 in base.conduits
    assert conduit2 in base.conduits
def test_configuration_update_model3() -> None:
    component1 = Component('macro', 'my.macro')
    model1 = Model('model1', [component1])
    base = Configuration(model1)

    model_ref2 = ModelReference('model2')
    overlay = PartialConfiguration(model_ref2)

    base.update(overlay)

    assert base.model == model1
    assert model1.name == 'model2'
    assert model1.components == [component1]
Exemple #10
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def topology_store() -> TopologyStore:
    config = Configuration(
            Model(
                'test_model',
                [
                    ComputeElement('macro', 'macro_implementation'),
                    ComputeElement(
                        'micro', 'micro_implementation', [10, 10])],
                [
                    Conduit('macro.out', 'micro.in'),
                    Conduit('micro.out', 'macro.in')
                ]))

    return TopologyStore(config)
Exemple #11
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def test_dump_model(dump_model: Callable) -> None:
    ce1 = Component('ce1', 'test.impl1')
    ce2 = Component('ce2', 'test.impl2')
    cd1 = Conduit('ce1.state_out', 'ce2.init_in')
    cd2 = Conduit('ce2.fini_out', 'ce1.boundary_in')
    model = Model('test_model', [ce1, ce2], [cd1, cd2])

    text = dump_model(model)
    assert text == ('name: test_model\n'
                    'components:\n'
                    '  ce1: test.impl1\n'
                    '  ce2: test.impl2\n'
                    'conduits:\n'
                    '  ce1.state_out: ce2.init_in\n'
                    '  ce2.fini_out: ce1.boundary_in\n')
Exemple #12
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def test_config2() -> PartialConfiguration:
    model = Model(
            'test_model',
            [
                Component('ic', 'isr2d.initial_conditions'),
                Component('smc', 'isr2d.smc'),
                Component('bf', 'isr2d.blood_flow'),
                Component('smc2bf', 'isr2d.smc2bf'),
                Component('bf2smc', 'isr2d.bf2smc')],
            [
                Conduit('ic.out', 'smc.initial_state'),
                Conduit('smc.cell_positions', 'smc2bf.in'),
                Conduit('smc2bf.out', 'bf.initial_domain'),
                Conduit('bf.wss_out', 'bf2smc.in'),
                Conduit('bf2smc.out', 'smc.wss_in')])
    return PartialConfiguration(model)
def test_duplication_mapper(log_file_in_tmpdir):
    """A positive all-up test of duplication mappers.

    This is an acyclic workflow.
    """
    elements = [
        ComputeElement('dm', 'muscle.duplication_mapper'),
        ComputeElement('first', 'receiver'),
        ComputeElement('second', 'receiver')
    ]

    conduits = [Conduit('dm.out', 'first.in'), Conduit('dm.out2', 'second.in')]

    model = Model('test_model', elements, conduits)
    settings = Settings()

    configuration = Configuration(model, settings)

    implementations = {
        'muscle.duplication_mapper': duplication_mapper,
        'receiver': receiver
    }
    run_simulation(configuration, implementations)
Exemple #14
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def test_all(log_file_in_tmpdir):
    """A positive all-up test of everything.
    """
    elements = [
        ComputeElement('macro', 'macro_impl'),
        ComputeElement('micro', 'micro_impl', [10])
    ]

    conduits = [
        Conduit('macro.out', 'micro.in'),
        Conduit('micro.out', 'macro.in')
    ]

    model = Model('test_model', elements, conduits)
    settings = Settings(
        OrderedDict([('test1', 13), ('test2', 13.3), ('test3', 'testing'),
                     ('test4', True), ('test5', [2.3, 5.6]),
                     ('test6', [[1.0, 2.0], [3.0, 1.0]])]))

    configuration = Configuration(model, settings)

    implementations = {'macro_impl': macro, 'micro_impl': micro}
    run_simulation(configuration, implementations)
Exemple #15
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def test_settings_overlays(log_file_in_tmpdir):
    """A positive all-up test of settings overlays.
    """
    elements = [
            ComputeElement('qmc', 'qmc'),
            ComputeElement('macro', 'macro', [10]),
            ComputeElement('relay', 'explicit_relay'),
            ComputeElement('relay2', 'explicit_relay'),
            ComputeElement('micro', 'micro', [10])]

    conduits = [
                Conduit('qmc.settings_out', 'macro.muscle_settings_in'),
                Conduit('macro.out', 'relay.in'),
                Conduit('relay.out', 'micro.in'),
                Conduit('micro.out', 'relay2.in'),
                Conduit('relay2.out', 'macro.in')]

    model = Model('test_model', elements, conduits)

    settings = Settings(OrderedDict([
                ('test1', 13),
                ('test2', 13.3),
                ('test3', 'testing'),
                ('test4', True),
                ('test5', [2.3, 5.6]),
                ('test6', [[1.0, 2.0], [3.0, 1.0]])]))

    configuration = Configuration(model, settings)

    implementations = {
            'qmc': qmc,
            'macro': macro,
            'explicit_relay': explicit_relay,
            'micro': micro}

    run_simulation(configuration, implementations)
Exemple #16
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def test_model_check_consistent1(macro_micro: Model) -> None:
    macro_micro.check_consistent()
Exemple #17
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def test_model_check_consistent2(macro_micro: Model) -> None:
    macro_micro.conduits[0].sender = Reference('marco.intermediate_state')
    with pytest.raises(RuntimeError):
        macro_micro.check_consistent()
Exemple #18
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def test_model_check_consistent3(macro_micro: Model) -> None:
    macro_micro.conduits[1].receiver = Reference('Macro.state_update')
    with pytest.raises(RuntimeError):
        macro_micro.check_consistent()
Exemple #19
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for i in range(n_samples):
    feed.append(float(inputs['feed' + str(i)]))
    kill.append(float(inputs['kill' + str(i)]))
feed = np.array(feed)
kill = np.array(kill)

# Compute elements for the macro and micro model: specify the name of the python file here
elements = [ComputeElement('macro', 'macro', [n_samples]),
            ComputeElement('micro', 'micro', [n_samples])]

# connect the submodels
conduits = [Conduit('macro.state_out', 'micro.state'),
            Conduit('micro.sgs', 'macro.state_in')]

# create model instance
model = Model('gray_scott_reduced', elements, conduits)

# common settings
settings_dict = {'micro.t_max': 0.1, 'micro.dt': 0.1, 'N_Q': 2, 'N_LF': 128}

# parameter value settings, differs per run
for i in range(n_samples):
    settings_dict['macro[%d].feed' % i] = feed[i]
    settings_dict['macro[%d].kill' % i] = kill[i]
settings = Settings(settings_dict)

configuration = Configuration(model, settings)

# actual subroutines to run, imported from macro.py and micro.py
implementations = {'macro': gray_scott_macro, 'micro': reduced_sgs}
    elements = [
            ComputeElement('qmc', 'qmc_driver'),
            ComputeElement('rr', 'load_balancer'),
            ComputeElement('macro', 'diffusion', [10]),
            ComputeElement('micro', 'reaction', [10])]

    conduits = [
            Conduit('qmc.parameters_out', 'rr.front_in'),
            Conduit('rr.front_out', 'qmc.states_in'),
            Conduit('rr.back_out', 'macro.muscle_settings_in'),
            Conduit('macro.final_state_out', 'rr.back_in'),
            Conduit('macro.state_out', 'micro.initial_state'),
            Conduit('micro.final_state', 'macro.state_in')
            ]

    model = Model('reaction_diffusion_qmc', elements, conduits)
    settings = Settings(OrderedDict([
                ('micro.t_max', 2.469136e-6),
                ('micro.dt', 2.469136e-8),
                ('macro.t_max', 1.234568e-4),
                ('macro.dt', 2.469136e-6),
                ('qmc.t_max', 1.234568e-4),
                ('qmc.dt', 2.469136e-6),
                ('x_max', 1.01),
                ('dx', 0.01),
                ('k_min', -4.455e4),
                ('k_max', -3.645e4),
                ('d_min', 0.03645),
                ('d_max', 0.04455),
                ('n_samples', 100)
                ]))
Exemple #21
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def test_dump_no_conduits(dump_model: Callable) -> None:
    ce1 = Component('ce1', 'test.impl1')
    model = Model('test_model', [ce1])

    text = dump_model(model)
    assert text == ('name: test_model\n' 'components:\n' '  ce1: test.impl1\n')