def test_cart_product_pytest():
# simple
names_lst, values = cart_product_pytest(('a', 'b'), ([True], [1, 2]))
assert names_lst == ['a', 'b']
assert values == [(True, 1), (True, 2)]
# multi
names_lst, values = cart_product_pytest(('a,b', 'c'),
([(True, 1)], [1, 2]))
assert names_lst == ['a', 'b', 'c']
assert values == [(True, 1, 1), (True, 1, 2)]
# marks
names_lst, values = cart_product_pytest(('a,b', 'c'),
([(True, 1)], [skip(1), 2]))
assert names_lst == ['a', 'b', 'c']
assert get_marked_parameter_values(values[0]) == (True, 1, 1)
assert values[1] == (True, 1, 2)
# lazy values
def get_tuple():
return 3, 4
names_lst, values = cart_product_pytest(
('a', 'b,c'), ([True], [lazy_value(get_tuple, marks=skip), (1, 2)]))
assert names_lst == ['a', 'b', 'c']
assert values[0][0] is True
assert is_lazy(values[0][1])
assert is_lazy(values[0][2])
assert values[0][1].get_id() == 'get_tuple[0]'
assert values[0][2].get_id() == 'get_tuple[1]'
assert values[1] == (True, 1, 2)
async def mlserver_runtime(model_settings: ModelSettings) -> InferenceRuntime:
if is_lazy(model_settings):
# NOTE: Some times pytest-cases may return a "LazyValue"
model_settings = model_settings.get(request_or_item=mlserver_runtime)
_runtime = InferenceRuntime(model_settings)
await _runtime.load()
return _runtime
def is_lazy_value_or_tupleitem_with_int_base(o):
return is_lazy(o) and isinstance(o, int)