Using numpy.lib.strides_tricks

[cgaltran]

when executed the given example, it gives following output:

>>> from numpy.lib.stride_tricks import as_strided
>>> a = np.arange(10)
>>> a
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
>>>
>>> windows = as_strided(a, shape=(6, 3), strides=(8, 8))
>>> windows
array([[         0,          2,          4],
       [         2,          4,          6],
       [         4,          6,          8],
       [         6,          8, 1464246683],
       [         8, 1464246683,    6881399],
       [1464246683,    6881399,    7274608]])

[lokeshyadav559]

same observation !

[lokeshyadav559]

copilot suggests, its due to int32

>>> a.dtype
dtype('int32')

Worked this for me !

>>> np.lib.stride_tricks.sliding_window_view(a, window_shape=3)
array([[0, 1, 2],
       [1, 2, 3],
       [2, 3, 4],
       [3, 4, 5],
       [4, 5, 6],
       [5, 6, 7],
       [6, 7, 8],
       [7, 8, 9]])