feat(py): Allow pre-declaring a Function's output types (#1417)

This is required to use the function in recursive calls (where the
`Function` hasn't been completely defined yet).

---------

Co-authored-by: Seyon Sivarajah <[email protected]>

hugr-py/src/hugr/dfg.py

@@ -41,6 +41,7 @@ def define_function(
         self,
         name: str,
         input_types: TypeRow,
+        output_types: TypeRow | None = None,
         type_params: list[TypeParam] | None = None,
         parent: ToNode | None = None,
     ) -> Function:
@@ -49,6 +50,8 @@ def define_function(
         Args:
             name: The name of the function.
             input_types: The input types for the function.
+            output_types: The output types for the function.
+                If not provided, it will be inferred after the function is built.
             type_params: The type parameters for the function, if polymorphic.
             parent: The parent node of the constant. Defaults to the root node.
 
@@ -57,7 +60,10 @@ def define_function(
         """
         parent_node = parent or self.hugr.root
         parent_op = ops.FuncDefn(name, input_types, type_params or [])
-        return Function.new_nested(parent_op, self.hugr, parent_node)
+        func = Function.new_nested(parent_op, self.hugr, parent_node)
+        if output_types is not None:
+            func.declare_outputs(output_types)
+        return func
 
     def add_const(self, value: val.Value, parent: ToNode | None = None) -> Node:
         """Add a static constant to the graph.
@@ -684,3 +690,38 @@ def __init__(
     ) -> None:
         root_op = ops.FuncDefn(name, input_types, type_params or [])
         super().__init__(root_op)
+
+    def declare_outputs(self, output_types: TypeRow) -> None:
+        """Declare the output types of the function.
+
+        This is required when calling a function which hasn't been completely
+        defined yet. The wires passed to :meth:`set_outputs` must match the
+        declared output types.
+        """
+        self._set_parent_output_count(len(output_types))
+        self.parent_op._set_out_types(output_types)
+
+    def set_outputs(self, *args: Wire) -> None:
+        """Set the outputs of the dataflow graph.
+        Connects wires to the output node.
+
+        If :meth:`declare_outputs` has been called, the wire types must match
+        the declared output types.
+
+        Args:
+            args: Wires to connect to the output node.
+
+        Example:
+            >>> dfg = Dfg(tys.Bool)
+            >>> dfg.set_outputs(dfg.inputs()[0]) # connect input to output
+        """
+        if self.parent_op._outputs is not None:
+            arg_types = [self._get_dataflow_type(w) for w in args]
+            if arg_types != self.parent_op._outputs:
+                error_message = (
+                    f"The function has fixed output type {self.parent_op._outputs}, "
+                    f"but was given output wires with types {arg_types}."
+                )
+                raise ValueError(error_message)
+
+        super().set_outputs(*args)

hugr-py/tests/test_hugr_build.py

@@ -274,6 +274,27 @@ def test_mono_function(direct_call: bool) -> None:
     validate(mod.hugr)
 
 
+def test_recursive_function() -> None:
+    mod = Module()
+
+    f_recursive = mod.define_function("recurse", [tys.Qubit])
+    f_recursive.declare_outputs([tys.Qubit])
+    call = f_recursive.call(f_recursive, f_recursive.input_node[0])
+    f_recursive.set_outputs(call)
+
+    validate(mod.hugr)
+
+
+def test_invalid_recursive_function() -> None:
+    mod = Module()
+
+    f_recursive = mod.define_function("recurse", [tys.Bool], [tys.Qubit])
+    f_recursive.call(f_recursive, f_recursive.input_node[0])
+
+    with pytest.raises(ValueError, match="The function has fixed output type"):
+        f_recursive.set_outputs(f_recursive.input_node[0])
+
+
 def test_higher_order() -> None:
     noop_fn = Dfg(tys.Qubit)
     noop_fn.set_outputs(noop_fn.add(ops.Noop()(noop_fn.input_node[0])))