TST: Make pass <3.11

doc/release/upcoming_changes/26081.improvement.rst

@@ -37,7 +37,7 @@ This PR also provides the ``np.typing.Array`` type alias in the style of
 
 .. code::
 
-   from typing import Literal, TypeVar, TypeVarTuple
+   from typing import Literal, TypeVar
    import numpy as np
    import numpy.typing as npt
 
@@ -51,14 +51,14 @@ This PR also provides the ``np.typing.Array`` type alias in the style of
 
    arr = np.arange(12, dtype=np.uint16)
    stacked = stack_1Ds(arr, arr, arr)
-   reveal_type(stacked) # 
 
 
 Note that, if shape is unknown or arbitrary, it is still recommended to use
 ``NDArray``.  Because ``TypeVarTuple`` cannot be bound, not all type checkers
 allow arbitrarily shape arrays.  e.g.:
 
 .. code::
+
    from typing import TypeVarTuple
    Shapes = TypeVarTuple("Shapes")
 

numpy/_typing/_add_docstring.py

@@ -157,9 +157,9 @@ def _parse_docstrings() -> str:
 
     Can be used during runtime for typing arrays with a given dtype
     and specified shape.  Particularly useful for functions which modify number
-    of axes.  If it is important to enforce integer axis sizes, use np.ndarray
-    for typing.  If axes dimensions are variable, it is best to use
-    `npt.NDArray <numpy.typing.NDArray>`.
+    of axes.  If it is important to enforce integer axis sizes, use
+    `np.ndarray <numpy.ndarray>` for typing.  If axes dimensions are
+    variable, it is best to use `npt.NDArray <numpy.typing.NDArray>`.
 
     .. versionadded:: 2.1
 

numpy/typing/tests/data/fail/shape311.py

@@ -3,5 +3,9 @@
 import numpy as np
 import numpy.typing as npt
 
+from typing_extensions import assert_type
+
 if sys.version_info >= (3, 11):
     npt.Array[str, str, np.float64]   # E: Value of type variable
+else:
+    assert_type(3, str) # still need a reason to fail if < 3.11

numpy/typing/tests/data/pass/shape311.py

@@ -1,9 +1,9 @@
 import sys
-from typing import Literal, NewType, TypeVar, TypeVarTuple
+from typing import NewType, TypeVar
 
 import numpy as np
 import numpy.typing as npt
-from typing_extensions import assert_type, cast, reveal_type
+from typing_extensions import assert_type
 
 if sys.version_info >= (3, 11):
     DType = TypeVar("DType", bound=np.generic)