Update

Author: odow

src/Nonlinear/ReverseAD/reverse_mode.jl

@@ -248,7 +248,7 @@ function _forward_eval(
             end
         elseif node.type == Nonlinear.NODE_CALL_UNIVARIATE
             child_idx = children_arr[f.adj.colptr[k]]
-            ret_f, ret_f′ =  Nonlinear.eval_univariate_function_and_gradient(
+            ret_f, ret_f′ = Nonlinear.eval_univariate_function_and_gradient(
                 operators,
                 node.index,
                 f.forward_storage[child_idx],

test/Nonlinear/Nonlinear.jl

@@ -365,6 +365,7 @@ function test_eval_univariate_function()
         (:-, 1.0, -1.0),
         (:abs, -1.1, 1.1),
         (:abs, 1.1, 1.1),
+        (:sin, 1.1, sin(1.1)),
     ]
         id = r.univariate_operator_to_id[op]
         @test Nonlinear.eval_univariate_function(r, op, x) == y
@@ -380,6 +381,7 @@ function test_eval_univariate_gradient()
         (:-, 1.2, -1.0),
         (:abs, -1.1, -1.0),
         (:abs, 1.1, 1.0),
+        (:sin, 1.1, cos(1.1)),
     ]
         id = r.univariate_operator_to_id[op]
         @test Nonlinear.eval_univariate_gradient(r, op, x) == y
@@ -395,6 +397,7 @@ function test_eval_univariate_function_and_gradient()
         (:-, 1.2, (-1.2, -1.0)),
         (:abs, -1.1, (1.1, -1.0)),
         (:abs, 1.1, (1.1, 1.0)),
+        (:sin, 1.1, (sin(1.1), cos(1.1))),
     ]
         id = r.univariate_operator_to_id[op]
         @test Nonlinear.eval_univariate_function_and_gradient(r, op, x) == y