Ejemplo n.º 1
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    def sample_sc_intrinsic(self, num_elements, rel_time, add_at=None):
        '''
        initialize Sample SC and WeatheringData object
        objects are constructed and prepare_for_model_run() is invoked on all
        '''
        wd = WeatheringData(Water())
        end_time = rel_time + timedelta(hours=1)
        spills = [
            point_line_release_spill(num_elements, (0, 0, 0),
                                     rel_time,
                                     end_release_time=end_time,
                                     amount=100,
                                     units='kg',
                                     substance=test_oil)
        ]
        sc = SpillContainer()
        sc.spills += spills
        at = wd.array_types
        if add_at is not None:
            at.update(add_at)
        sc.prepare_for_model_run(at)

        # test initialization as well
        wd.prepare_for_model_run(sc)
        for val in sc.mass_balance.values():
            assert val == 0.0

        # test initialization as well
        return (sc, wd)
Ejemplo n.º 2
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    def sample_sc_intrinsic(self, num_elements, rel_time, add_at=None):
        '''
        initialize Sample SC and WeatheringData object
        objects are constructed and prepare_for_model_run() is invoked on all
        '''
        wd = WeatheringData(Water())
        end_time = rel_time + timedelta(hours=1)
        spills = [point_line_release_spill(num_elements,
                                           (0, 0, 0),
                                           rel_time,
                                           end_release_time=end_time,
                                           amount=100,
                                           units='kg',
                                           substance=test_oil)]
        sc = SpillContainer()
        sc.spills += spills
        at = wd.array_types
        if add_at is not None:
            at.update(add_at)
        sc.prepare_for_model_run(at)

        # test initialization as well
        wd.prepare_for_model_run(sc)
        for val in sc.mass_balance.values():
            assert val == 0.0

        # test initialization as well
        return (sc, wd)
Ejemplo n.º 3
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    def mk_test_objs(cls, water=None):
        '''
        create SpillContainer and test WeatheringData object test objects so
        we can run Skimmer, Burn like a model without using a full on Model

        NOTE: Use this function to define class level objects. Other methods
            in this class expect sc, and weatherers to be class level objects
        '''
        # spreading does not need to be initialized correctly for these tests,
        # but since we are mocking the model, let's do it correctly
        if water is None:
            water = Water()

        # keep this order
        weatherers = [WeatheringData(water), FayGravityViscous(water)]
        weatherers.sort(key=weatherer_sort)
        sc = SpillContainer()
        print "******************"
        print "Adding a spill to spill container"
        sc.spills += point_line_release_spill(10, (0, 0, 0),
                                              rel_time,
                                              substance=test_oil,
                                              amount=amount,
                                              units='kg',
                                              water=water)
        return (sc, weatherers)
Ejemplo n.º 4
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def weathering_data_arrays(n_arrays,
                           water=None,
                           time_step=15.*60,
                           element_type=None,
                           langmuir=False):
    '''
    function to initialize data_arrays set by WeatheringData. Weatherer tests
    can use this function to release elements and initialize data without
    defining a model
    '''
    if water is None:
        water = Water()
    rqd_weatherers = [WeatheringData(water), FayGravityViscous(water)]
    arrays = set()
    arrays.update(n_arrays)
    for wd in rqd_weatherers:
        arrays.update(wd.array_types)

    if element_type is None:
        element_type = floating(substance=test_oil)

    sc = sample_sc_release(num_elements=2,
                           element_type=element_type,
                           arr_types=arrays,
                           time_step=time_step)
    for wd in rqd_weatherers:
        wd.prepare_for_model_run(sc)
        wd.initialize_data(sc, sc.num_released)

    return (sc, time_step, rqd_weatherers)
Ejemplo n.º 5
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def test_sort_order():
    'test sort order for Dissolution weatherer'
    wind = constant_wind(15., 0)
    waves = Waves(wind, Water())

    diss = Dissolution(waves, wind)
    disp = NaturalDispersion(waves=waves, water=waves.water)
    weathering_data = WeatheringData(water=waves.water)

    # dissolution is dependent upon droplet distribution generated by
    # natural dispersion
    assert weatherer_sort(disp) < weatherer_sort(diss)

    # dissolution needs to happen before we treat our weathering data
    assert weatherer_sort(diss) < weatherer_sort(weathering_data)
Ejemplo n.º 6
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def weathering_data_arrays(n_arrays,
                           water=None,
                           time_step=15. * 60,
                           substance=None,
                           langmuir=False,
                           num_elements=2,
                           units='g',
                           amount_per_element=1.0):
    '''
    function to initialize data_arrays set by WeatheringData. Weatherer tests
    can use this function to release elements and initialize data without
    defining a model
    '''
    if water is None:
        water = Water()
    rqd_weatherers = [WeatheringData(water), FayGravityViscous(water)]
    arrays = dict()
    arrays.update(n_arrays)
    for wd in rqd_weatherers:
        arrays.update(wd.array_types)

    if isinstance(substance, six.string_types):
        substance = GnomeOil(substance)
    if substance is None:
        substance = GnomeOil(test_oil)
    arrays.update(substance.array_types)

    sc = sample_sc_release(num_elements=num_elements,
                           substance=substance,
                           arr_types=arrays,
                           time_step=time_step,
                           units=units,
                           amount_per_element=amount_per_element)
    for wd in rqd_weatherers:
        wd.prepare_for_model_run(sc)
        wd.initialize_data(sc, sc.num_released)

    return (sc, time_step, rqd_weatherers)
Ejemplo n.º 7
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    def test_update_intrinsic_props(self):
        '''
        test multiple spills with same substance
        '''
        weatherers = [WeatheringData(water), FayGravityViscous(water)]

        rel_time = datetime.now().replace(microsecond=0)
        end_time = rel_time + timedelta(hours=1)
        spills = [
            point_line_release_spill(100, (0, 0, 0),
                                     rel_time,
                                     end_release_time=end_time,
                                     amount=100,
                                     units='kg',
                                     substance=test_oil),
            point_line_release_spill(50, (0, 0, 0),
                                     rel_time + timedelta(hours=.25),
                                     substance=test_oil,
                                     amount=100,
                                     units='kg')
        ]
        sc = SpillContainer()
        sc.spills += spills
        at = dict()
        for w in weatherers:
            at.update(w.array_types)

        sc.prepare_for_model_run(at)

        # test initialization as well
        for w in weatherers:
            w.prepare_for_model_run(sc)

        for val in sc.mass_balance.values():
            assert val == 0.0

        # test initialization as well

        ts = 900
        for i in range(-1, 5):
            curr_time = rel_time + timedelta(seconds=i * ts)
            num_released = sc.release_elements(ts, curr_time)

            if num_released > 0:
                for w in weatherers:
                    w.initialize_data(sc, num_released)

            for w in weatherers:
                self.step(w, sc, curr_time)

            for key, val in sc.mass_balance.iteritems():
                if len(sc) > 0 and key not in ('beached', 'non_weathering',
                                               'off_maps'):
                    assert val > 0
                else:
                    # everything, including avg_density is 0 if nothing is
                    # released
                    assert val == 0.0

            if len(sc) > 0:
                # area arrays initialized correctly
                mask = sc['age'] == 0
                if np.any(~mask):
                    # sc['fay_area'][mask] is initial area of blob
                    # sc['fay_area'][~mask] is area of aged blob
                    assert (sc['fay_area'][mask].sum() !=
                            sc['fay_area'][~mask].sum())

                assert all(sc['fay_area'] > 0)
                assert all(sc['init_mass'] > 0)

                # wd props arrays initialized correctly
                assert all(sc['density'] > 0)
                assert all(sc['viscosity'] > 0)

            sc['age'] += ts  # model would do this operation
            print 'Completed step: ', i
Ejemplo n.º 8
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 def test_init(self):
     WeatheringData(water)