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How to use parametrized method in Lemoncheesecake

Best Python code snippet using lemoncheesecake

conftest.py

Source:conftest.py

...6import pytest7from hamster_gtk.preferences.preferences_dialog import PreferencesDialog8# Data9@pytest.fixture(params=('sqlalchemy',))10def store_parametrized(request):11    """Return a parametrized store value."""12    return request.param13@pytest.fixture(params=(14    datetime.time(0, 0, 0),15    datetime.time(5, 30, 0),16    datetime.time(17, 22, 0),17))18def day_start_parametrized(request):19    """Return a parametrized day_start value."""20    return request.param21@pytest.fixture(params=(0, 1, 30, 60))22def fact_min_delta_parametrized(request):23    """Return a parametrized fact_min_delta value."""24    return request.param25@pytest.fixture(params=(26    # fauxfactory.gen_utf8(),27    # fauxfactory.gen_latin1(),28    fauxfactory.gen_alphanumeric(),29))30def tmpfile_path_parametrized(request, tmpdir):31    """Return a parametrized tmpfile_path value."""32    return tmpdir.mkdir(request.param).join('tmpfile.hamster')33@pytest.fixture(params=(34    'sqlite',35))36def db_engine_parametrized(request):37    """Return a parametrized db_engine value."""38    return request.param39@pytest.fixture(params=(40    # fauxfactory.gen_utf8(),41    # fauxfactory.gen_latin1(),42    fauxfactory.gen_alphanumeric(),43    ':memory:',44))45def db_path_parametrized(request, tmpdir):46    """Return a parametrized db_path value."""47    if not request.param == ':memory:':48        path = tmpdir.mkdir(request.param).join('hamster.file')49    else:50        path = request.param51    return path52@pytest.fixture(params=(0, 1, 30, 60))53def autocomplete_activities_range_parametrized(request):54    """Return a parametrized autocomplete_activities_range value."""55    return request.param56@pytest.fixture(params=(True, False))57def autocomplete_split_activity_parametrized(request):58    """Return a parametrized autocomplete_split_activity value."""59    return request.param60@pytest.fixture61def config_parametrized(request, store_parametrized, day_start_parametrized,62        fact_min_delta_parametrized, tmpfile_path_parametrized, db_engine_parametrized,63        db_path_parametrized, autocomplete_activities_range_parametrized,64        autocomplete_split_activity_parametrized):65            """Return a config fixture with heavily parametrized config values."""66            return {67                'store': store_parametrized,68                'day_start': day_start_parametrized,69                'fact_min_delta': fact_min_delta_parametrized,70                'tmpfile_path': tmpfile_path_parametrized,71                'db_engine': db_engine_parametrized,72                'db_path': db_path_parametrized,73                'autocomplete_activities_range': autocomplete_activities_range_parametrized,74                'autocomplete_split_activity': autocomplete_split_activity_parametrized,75            }...

decorators.py

Source:decorators.py

...9            return response10        response = f(request=request, *args, **kwargs)11        return datatable_instance.process_response(request, response)12    return decorator(datatable_f)13def parametrized(parametrized_class, param_name='parametrized', qs_obj=0):14    def parametrized_f(f, request, *args, **kwargs):15        parametrized_instance = parametrized_class(request.GET, param_name)16        response = parametrized_instance.process_request(request, param_name)17        if response is not None:18            return response19        if qs_obj:20            qs_o = getattr(request, qs_obj, 0)21            if qs_o:22                qs = qs_o.get_queryset()23                qs = parametrized_instance.apply_filters(request, qs, *args,**kwargs)24                qs_o.update_queryset(qs)25        response = f(request=request, *args, **kwargs)26        return parametrized_instance.process_response(request, response)27    return decorator(parametrized_f)...

test_pep585.py

Source:test_pep585.py

1"""2Applies to a large number of types, including many that weren't supported by `typing`.3"""4import types5from _pytest.python import Metafunc6import pytest7def test_issubclass_second_arg_one_parametrized_type(8    parametrized_type, type_parameters9):10    with pytest.raises(TypeError):11        # noinspection PyTypeHints12        issubclass(parametrized_type, parametrized_type[type_parameters])13def test_isinstance_second_arg_parametrized_type(parametrized_type, type_parameters):14    with pytest.raises(TypeError):15        # noinspection PyTypeHints16        issubclass(parametrized_type, parametrized_type[type_parameters])17def test_isinstance_of_genericalias(parametrized_type, type_parameters):18    assert isinstance(parametrized_type[type_parameters], types.GenericAlias)19def test_isinstance_of_nongeneric(parametrized_type, type_parameters):20    assert isinstance(parametrized_type[type_parameters](), parametrized_type)21def test_type(parametrized_type, type_parameters):22    a: parametrized_type[type_parameters] = parametrized_type()23    b: parametrized_type = parametrized_type()24    assert type(a) == type(b)25def pytest_generate_tests(metafunc: Metafunc):26    parametrized_type_fixture = "parametrized_type"27    type_parameters_fixture = "type_parameters"28    parametrized_types = [29        (list, [str]),30        (set, [str]),31        (frozenset, [str]),32        (tuple, [str]),33        (dict, [str, str]),34    ]35    if parametrized_type_fixture in metafunc.fixturenames:36        metafunc.parametrize(37            parametrized_type_fixture,38            [o[0] for o in parametrized_types],39            ids=[str(s[0]) for s in parametrized_types],40        )41        metafunc.parametrize(42            type_parameters_fixture,43            [o[1] for o in parametrized_types],...

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