diff --git a/src/numpy-stubs/@test/runtime/legacy/lib_user_array.py b/src/numpy-stubs/@test/runtime/legacy/lib_user_array.py
index 6a05d32e..0b6273f1 100644
--- a/src/numpy-stubs/@test/runtime/legacy/lib_user_array.py
+++ b/src/numpy-stubs/@test/runtime/legacy/lib_user_array.py
@@ -5,7 +5,7 @@
 from typing import TYPE_CHECKING
 
 import numpy as np
-from numpy.lib.user_array import container
+from numpy.lib.user_array import container  # pyright: ignore[reportDeprecated]
 
 if TYPE_CHECKING:
     import _numtype as _nt
@@ -14,14 +14,14 @@
 W = H = int(N**0.5)
 
 a: _nt.Array2D[np.int32]
-ua: container[_nt.Rank2, np.dtype[np.int32]]
+ua: container[_nt.Rank2, np.dtype[np.int32]]  # pyright: ignore[reportDeprecated]
 
 a = np.arange(N, dtype=np.int32).reshape(W, H)
-ua = container(a)
+ua = container(a)  # pyright: ignore[reportDeprecated]
 
-ua_small: container[_nt.Rank2, np.dtype[np.int32]] = ua[:3, :5]
+ua_small: container[_nt.Rank2, np.dtype[np.int32]] = ua[:3, :5]  # pyright: ignore[reportDeprecated]
 ua_small[0, 0] = 10
 
-ua_bool: container[_nt.Rank2, np.dtype[np.bool]] = ua_small > 1
+ua_bool: container[_nt.Rank2, np.dtype[np.bool]] = ua_small > 1  # pyright: ignore[reportDeprecated]
 
 shape: tuple[int, int] = np.shape(ua)
diff --git a/src/numpy-stubs/lib/_user_array_impl.pyi b/src/numpy-stubs/lib/_user_array_impl.pyi
index 37ab2558..b73e1108 100644
--- a/src/numpy-stubs/lib/_user_array_impl.pyi
+++ b/src/numpy-stubs/lib/_user_array_impl.pyi
@@ -1,7 +1,7 @@
 from _typeshed import Incomplete
 from types import EllipsisType
 from typing import Any, Generic, Self, SupportsIndex, TypeAlias, overload
-from typing_extensions import TypeAliasType, TypeVar, override
+from typing_extensions import TypeAliasType, TypeVar, deprecated, override
 
 import _numtype as _nt
 import numpy as np
@@ -16,7 +16,7 @@ _ShapeT_co = TypeVar("_ShapeT_co", bound=_nt.Shape, default=Any, covariant=True)
 _DTypeT = TypeVar("_DTypeT", bound=np.dtype, default=np.dtype)
 _DTypeT_co = TypeVar("_DTypeT_co", bound=np.dtype, default=np.dtype, covariant=True)
 
-_Container = TypeAliasType("_Container", container[_ShapeT, np.dtype[_ScalarT]], type_params=(_ScalarT, _ShapeT))
+_Container = TypeAliasType("_Container", container[_ShapeT, np.dtype[_ScalarT]], type_params=(_ScalarT, _ShapeT))  # pyright: ignore[reportDeprecated]
 
 _BoolArrayT = TypeVar("_BoolArrayT", bound=_Container[np.bool_])
 _IntegralArrayT = TypeVar("_IntegralArrayT", bound=_Container[_nt.co_integer | np.object_])
@@ -32,6 +32,7 @@ _ToIndices: TypeAlias = _ToIndex | tuple[_ToIndex, ...]
 
 ###
 
+@deprecated("The numpy.lib.user_array.container class is deprecated and will be removed in a future version.")
 class container(Generic[_ShapeT_co, _DTypeT_co]):
     array: np.ndarray[_ShapeT_co, _DTypeT_co]
 
@@ -39,7 +40,7 @@ class container(Generic[_ShapeT_co, _DTypeT_co]):
     def __init__(
         self,
         /,
-        data: container[_ShapeT_co, _DTypeT_co] | np.ndarray[_ShapeT_co, _DTypeT_co],
+        data: container[_ShapeT_co, _DTypeT_co] | np.ndarray[_ShapeT_co, _DTypeT_co],  # pyright: ignore[reportDeprecated]
         dtype: None = None,
         copy: bool = True,
     ) -> None: ...
@@ -78,9 +79,9 @@ class container(Generic[_ShapeT_co, _DTypeT_co]):
 
     # keep in sync with np.ndarray
     @overload
-    def __getitem__(self, key: _ArrayInt_co | tuple[_ArrayInt_co, ...], /) -> container[_ShapeT_co, _DTypeT_co]: ...
+    def __getitem__(self, key: _ArrayInt_co | tuple[_ArrayInt_co, ...], /) -> container[_ShapeT_co, _DTypeT_co]: ...  # pyright: ignore[reportDeprecated]
     @overload
-    def __getitem__(self, key: _ToIndexSlices, /) -> container[Any, _DTypeT_co]: ...
+    def __getitem__(self, key: _ToIndexSlices, /) -> container[Any, _DTypeT_co]: ...  # pyright: ignore[reportDeprecated]
     @overload
     def __getitem__(self, key: _ToIndices, /) -> Any: ...
     @overload
@@ -190,11 +191,11 @@ class container(Generic[_ShapeT_co, _DTypeT_co]):
 
     #
     @overload
-    def __array_wrap__(self, arg0: npt.ArrayLike, /) -> container[_ShapeT_co, _DTypeT_co]: ...
+    def __array_wrap__(self, arg0: npt.ArrayLike, /) -> container[_ShapeT_co, _DTypeT_co]: ...  # pyright: ignore[reportDeprecated]
     @overload
     def __array_wrap__(
         self, a: np.ndarray[_ShapeT, _DTypeT], c: Any = ..., s: Any = ..., /
-    ) -> container[_ShapeT, _DTypeT]: ...
+    ) -> container[_ShapeT, _DTypeT]: ...  # pyright: ignore[reportDeprecated]
 
     #
     def copy(self, /) -> Self: ...