lint

src/array_api_extra/_apply.py

@@ -39,8 +39,7 @@ def apply_numpy_func(  # type: ignore[no-any-explicit]
     **kwargs: Any,
 ) -> tuple[Array, ...]:
     """
-    Apply a function that operates on NumPY arrays to any Array API compliant arrays,
-    as long as you can apply ``np.asarray`` to them.
+    Apply a function that operates on NumPY arrays to Array API compliant arrays.
 
     Parameters
     ----------
@@ -52,7 +51,9 @@ def apply_numpy_func(  # type: ignore[no-any-explicit]
         It must be a pure function, i.e. without side effects such as disk output,
         as depending on the backend it may be executed more than once.
     *args : Array
-        One or more Array API compliant arrays.
+        One or more Array API compliant arrays. You need to be able to apply
+        ``np.asarray()`` to them to convert them to numpy; read notes below about
+        specific backends.
     shapes : Sequence[tuple[int, ...]], optional
         Sequence of output shapes, one for each output of `func`.
         If `func` returns a single (non-sequence) output, this must be a sequence