diff --git a/boxtree/array_context.py b/boxtree/array_context.py
index 2b0779eb..8fdce077 100644
--- a/boxtree/array_context.py
+++ b/boxtree/array_context.py
@@ -43,6 +43,42 @@
 
 # {{{ array context
 
+def _boxtree_rec_map_container(actx, func, array, allowed_types=None, *,
+                               default_scalar=None, strict=False):
+    import arraycontext.impl.pyopencl.taggable_cl_array as tga
+
+    if allowed_types is None:
+        allowed_types = (tga.TaggableCLArray,)
+
+    def _wrapper(ary):
+        # NOTE: this is copied verbatim from arraycontext and this is the
+        # only change to allow optional fields inside containers
+        if ary is None:
+            return ary
+
+        if isinstance(ary, allowed_types):
+            return func(ary)
+        elif not strict and isinstance(ary, actx.array_types):
+            from warnings import warn
+            warn(f"Invoking {type(actx).__name__}.{func.__name__[1:]} with "
+                f"{type(ary).__name__} will be unsupported in 2025. Use "
+                "'to_tagged_cl_array' to convert instances to TaggableCLArray.",
+                DeprecationWarning, stacklevel=2)
+            return func(tga.to_tagged_cl_array(ary))
+        elif np.isscalar(ary):
+            if default_scalar is None:
+                return ary
+            else:
+                return np.array(ary).dtype.type(default_scalar)
+        else:
+            raise TypeError(
+                f"{type(actx).__name__}.{func.__name__[1:]} invoked with "
+                f"an unsupported array type: got '{type(ary).__name__}', "
+                f"but expected one of {allowed_types}")
+
+    return rec_map_array_container(_wrapper, array)
+
+
 class PyOpenCLArrayContext(PyOpenCLArrayContextBase):
     def transform_loopy_program(self, t_unit):
         default_ep = t_unit.default_entrypoint
@@ -61,38 +97,11 @@ def transform_loopy_program(self, t_unit):
 
     def _rec_map_container(self, func, array, allowed_types=None, *,
             default_scalar=None, strict=False):
-        import arraycontext.impl.pyopencl.taggable_cl_array as tga
-
-        if allowed_types is None:
-            allowed_types = (tga.TaggableCLArray,)
-
-        def _wrapper(ary):
-            # NOTE: this is copied verbatim from arraycontext and this is the
-            # only change to allow optional fields inside containers
-            if ary is None:
-                return ary
-
-            if isinstance(ary, allowed_types):
-                return func(ary)
-            elif not strict and isinstance(ary, self.array_types):
-                from warnings import warn
-                warn(f"Invoking {type(self).__name__}.{func.__name__[1:]} with "
-                    f"{type(ary).__name__} will be unsupported in 2025. Use "
-                    "'to_tagged_cl_array' to convert instances to TaggableCLArray.",
-                    DeprecationWarning, stacklevel=2)
-                return func(tga.to_tagged_cl_array(ary))
-            elif np.isscalar(ary):
-                if default_scalar is None:
-                    return ary
-                else:
-                    return np.array(ary).dtype.type(default_scalar)
-            else:
-                raise TypeError(
-                    f"{type(self).__name__}.{func.__name__[1:]} invoked with "
-                    f"an unsupported array type: got '{type(ary).__name__}', "
-                    f"but expected one of {allowed_types}")
-
-        return rec_map_array_container(_wrapper, array)
+        return _boxtree_rec_map_container(
+            self, func, array,
+            allowed_types=allowed_types,
+            default_scalar=default_scalar,
+            strict=strict)
 
 # }}}
 
diff --git a/test/test_tree_of_boxes.py b/test/test_tree_of_boxes.py
index 894fc9c7..b26f9770 100644
--- a/test/test_tree_of_boxes.py
+++ b/test/test_tree_of_boxes.py
@@ -30,7 +30,10 @@
 
 # This means boxtree's tests have a hard dependency on meshmode. That's OK.
 from meshmode import _acf  # noqa: F401
-from meshmode.array_context import PytestPyOpenCLArrayContextFactory
+from meshmode.array_context import (
+    PyOpenCLArrayContext,
+    PytestPyOpenCLArrayContextFactory,
+)
 
 from boxtree import (
     make_meshmode_mesh_from_leaves,
@@ -39,10 +42,24 @@
 )
 
 
-logger = logging.getLogger(__name__)
+class ArrayContext(PyOpenCLArrayContext):
+    def _rec_map_container(self, func, array, allowed_types=None, *,
+            default_scalar=None, strict=False):
+        from boxtree.array_context import _boxtree_rec_map_container
+        return _boxtree_rec_map_container(
+            self, func, array,
+            allowed_types=allowed_types,
+            default_scalar=default_scalar,
+            strict=strict)
+
 
+class ContextFactory(PytestPyOpenCLArrayContextFactory):
+    actx_class = ArrayContext
+
+
+logger = logging.getLogger(__name__)
 pytest_generate_tests = pytest_generate_tests_for_array_contexts([
-    PytestPyOpenCLArrayContextFactory,
+    ContextFactory,
     ])