Merge pull request #29980 from jorenham/remove-ndindex-ndincr

mattip · web-flow · commit a11651527591 · 2025-10-16T07:54:50.000+03:00
DEP: remove ``ndindex.ndincr`` (deprecated since 1.20)
diff --git a/doc/release/upcoming_changes/29980.expired.rst b/doc/release/upcoming_changes/29980.expired.rst
@@ -0,0 +1,5 @@
+Removed ``numpy.ndindex.ndincr()``
+----------------------------------
+
+The ``ndindex.ndincr()`` method has been deprecated since NumPy 1.20 and is now removed;
+use ``next(ndindex)`` instead.
diff --git a/numpy/lib/_index_tricks_impl.py b/numpy/lib/_index_tricks_impl.py
@@ -1,7 +1,6 @@
 import functools
 import math
 import sys
-import warnings
 from itertools import product
 
 import numpy as np
@@ -695,22 +694,6 @@ def __init__(self, *shape):
     def __iter__(self):
         return self
 
-    def ndincr(self):
-        """
-        Increment the multi-dimensional index by one.
-
-        This method is for backward compatibility only: do not use.
-
-        .. deprecated:: 1.20.0
-            This method has been advised against since numpy 1.8.0, but only
-            started emitting DeprecationWarning as of this version.
-        """
-        # NumPy 1.20.0, 2020-09-08
-        warnings.warn(
-            "`ndindex.ndincr()` is deprecated, use `next(ndindex)` instead",
-            DeprecationWarning, stacklevel=2)
-        next(self)
-
     def __next__(self):
         """
         Standard iterator method, updates the index and returns the index
diff --git a/numpy/lib/_index_tricks_impl.pyi b/numpy/lib/_index_tricks_impl.pyi
@@ -11,7 +11,7 @@ from typing import (
     final,
     overload,
 )
-from typing_extensions import TypeVar, deprecated
+from typing_extensions import TypeVar
 
 import numpy as np
 from numpy._core.multiarray import ravel_multi_index, unravel_index
@@ -101,10 +101,6 @@ class ndindex:
     def __iter__(self) -> Self: ...
     def __next__(self) -> _AnyShape: ...
 
-    #
-    @deprecated("Deprecated since 1.20.0.")
-    def ndincr(self, /) -> None: ...
-
 class nd_grid(Generic[_BoolT_co]):
     __slots__ = ("sparse",)
 
