source $drc_test_source target $drc_test_target if $drc_test_deep deep end l1 = input(1, 0, enable_props) l2 = input(2, 0, enable_props) l1.output(1, 0) l2.output(2, 0) l2.evaluated("put(2, to_f(value(17))*2.0)").output(10, 0) l2.evaluated("put(2, to_f(value(17))*factor)", { "factor" => 3.0 }, true).output(11, 0) l1.evaluated(aniso("put(2, shape.bbox.height/shape.bbox.width)")).output(12, 0) l1.evaluated(scales("put(2, shape.area)")).output(13, 0) l1.evaluated(aniso_and_scales("put(2, shape.bbox.width)")).output(14, 0) l1.evaluated(scales("skip(shape.area<20.0)")).output(15, 0) d = l2.dup d.evaluate("put(2, to_f(value(17))*2.0)").output(20, 0) d = l2.dup d.evaluate("put(2, to_f(value(17))*factor)", { "factor" => 3.0 }, true).output(21, 0) d = l1.dup d.evaluate(aniso("put(2, shape.bbox.height/shape.bbox.width)")).output(22, 0) d = l1.dup d.evaluate(scales("put(2, shape.area)")).output(23, 0) d = l1.dup d.evaluate(aniso_and_scales("put(2, shape.bbox.width)")).output(24, 0) d = l1.dup d.evaluate(scales("skip(shape.area<20.0)")).output(25, 0) l2.selected_if("to_f(value(17))<3.0").output(30, 0) l2.selected_if("to_f(value(17)) 3.0 }).output(31, 0) l1.selected_if(aniso("shape.bbox.height/shape.bbox.width<1.0")).output(32, 0) l1.selected_if(scales("shape.area<20.0")).output(33, 0) l1.selected_if(aniso_and_scales("shape.bbox.width<=5")).output(34, 0) d = l2.dup d.select_if("to_f(value(17))<3.0").output(40, 0) d = l2.dup d.select_if("to_f(value(17)) 3.0 }).output(41, 0) d = l1.dup d.select_if(aniso("shape.bbox.height/shape.bbox.width<1.0")).output(42, 0) d = l1.dup d.select_if(scales("shape.area<20.0")).output(43, 0) d = l1.dup d.select_if(aniso_and_scales("shape.bbox.width<=5")).output(44, 0) l2.split_if("to_f(value(17))<3.0")[0].output(50, 0) l2.split_if("to_f(value(17))<3.0")[1].output(51, 0)