Mul, NanWhere, RandomBinary, RandomCat, RandomGaussian, RandomSymmetricDirichlet, Ref, SmoothSeasonality, Stack, evaluate, generate, take_as_list, Env, ) BASE_RECIPE = [("foo", ConstantVec(1.0)), ("cat", RandomCat([10]))] @pytest.mark.parametrize( "func", [ Debug(), RandomGaussian(), RandomBinary(), RandomSymmetricDirichlet(), BinaryMarkovChain(0.1, 0.1), Constant(1), LinearTrend(), RandomCat([10]), Lag("foo", 1), ForEachCat(RandomGaussian()),
LinearTrend, Mul, NanWhere, NanWhereNot, RandomBinary, RandomCat, RandomGaussian, RandomSymmetricDirichlet, SmoothSeasonality, Stack, evaluate_recipe, generate, take_as_list, ) BASE_RECIPE = [('foo', ConstantVec(1.0)), ('cat', RandomCat([10]))] @pytest.mark.parametrize( "func", [ Debug(), RandomGaussian(), RandomBinary(), RandomSymmetricDirichlet(), BinaryMarkovChain(0.1, 0.1), Constant(1), LinearTrend(), RandomCat([10]), Lag("foo", 1), ForEachCat(RandomGaussian()),