Rename required_inputs_graph to explicit_input_graphs

Author: Dhruvanshu-Joshi

pytensor/graph/basic.py

@@ -936,15 +936,15 @@ def graph_inputs(
     yield from (r for r in ancestors(graphs, blockers) if r.owner is None)
 
 
-def required_graph_inputs(
+def explicit_graph_inputs(
     graph: Variable[Any, Any] | Iterable[Variable[Any, Any]],
 ) -> Generator[Variable, None, None]:
     """
     Get the inputs into PyTensor variables
 
     Parameters
     ----------
-    graph: PyTensor `Variable` instances
+    graph: TensorVariable
         Output `Variable` instances from which to search backward through
         owners.
 
@@ -969,7 +969,7 @@ def required_graph_inputs(
         # x [id A]
         # 2 [id B]
 
-        pytensor.dprint(required_graph_inputs([z]))
+        pytensor.dprint(explicit_graph_inputs([z]))
         # x [id A]
     """
     from pytensor.compile.sharedvalue import SharedVariable

tests/graph/test_basic.py

@@ -18,13 +18,13 @@
     clone,
     clone_get_equiv,
     equal_computations,
+    explicit_graph_inputs,
     general_toposort,
     get_var_by_name,
     graph_inputs,
     io_toposort,
     list_of_nodes,
     orphans_between,
-    required_graph_inputs,
     truncated_graph_inputs,
     variable_depends_on,
     vars_between,
@@ -523,15 +523,15 @@ def test_graph_inputs():
     assert res_list == [r3, r1, r2]
 
 
-def test_required_graph_inputs():
+def test_explicit_graph_inputs():
     x = pt.fscalar()
     y = pt.constant(2)
     z = shared(1)
     a = pt.sum(x + y + z)
     b = pt.true_div(x, y)
 
-    res = list(required_graph_inputs([a]))
-    res1 = list(required_graph_inputs(b))
+    res = list(explicit_graph_inputs([a]))
+    res1 = list(explicit_graph_inputs(b))
     assert res, res1 == [x]