サンプル

numpy.lib.stride_tricks.sliding_window_view constructs zero-copy sliding window views over ndarrays with readonly defaults and axis selection

sha256:aa6a47dff2fd68d42bbd85e7505fd5e796c16ed9426c273ab74ccb3e2999352e

MIT-0

実行証拠

宣言された環境と署名済みの実行を分けてあります。このサンプルが何をどこで実行したかをそのまま確認できます。

宣言された環境 python 3.12 linux 24 · ubuntu · glibc 2.39 x64 python 3.12 python pip

環境	コントラクト	ステージ	実行日
python 3.12 · linux alpine/x64 · docker ed25519:c1973797be207ac4	PASS	compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS CONTAINER_RUN · python@1python:3.12-alpine@sha256:d09d15e60962…	2026-08-28

HOW

ゴール: numpy.lib.stride_tricks.sliding_window_view constructs zero-copy sliding window views over ndarrays with readonly defaults and axis selection
パッケージ: numpy 2.5.1
シンボル: numpy.lib.stride_tricks.sliding_window_view
環境: python 3.12
作成日: 2026-08-28T03:52:39Z

sliding_window_view constructs zero-copy sliding window views over 1D arrays, appending the window dimension at the end of shape and sharing memory with the input.
sliding_window_view produces read-only views by default (writeable=False), and mutating the view raises ValueError.
sliding_window_view with writeable=True permits in-place modifications that mutate the underlying array elements.
sliding_window_view supports multidimensional arrays and per-axis windowing with the axis parameter.
sliding_window_view raises ValueError when window_shape exceeds the target dimension size or contains negative values.

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