Your receipt of the notice.

5.2. If You initiate litigation against any entity by asserting a patent
infringement claim (excluding declaratory judgment actions,
counter-claims, and cross-claims) alleging that a Contributor Version
directly or indirectly infringes any patent, then the rights granted to
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     * crossed or a write occurs on the segment.
     */
    final Queue<ReferenceEntry<K, V>> recencyQueue;

    /**
     * A counter of the number of reads since the last write, used to drain queues on a small
     * fraction of read operations.
     */
    final AtomicInteger readCount = new AtomicInteger();

    /**

(this._config.delay && this._config.delay != 500) {\n      toast.data('delay', this._config.delay)\n    }\n\n    const toastHeader = $('<div class=\"toast-header\">')\n\n    if (this._config.image != null) {\n      const toastImage = $('<img />').addClass('rounded mr-2').attr('src', this._config.image).attr('alt', this._config.imageAlt)\n\n      if (this._config.imageHeight != null) {\n        toastImage.height(this._config.imageHeight).width('auto')\n      }\n\n      toastHeader.append(toastImage)\n    }\n\n...

* Get parent dir via canonical absolute path when trying to judge mount-point ([#58433](https://github.com/kubernetes/kubernetes/pull/58433), [@yue9944882](https://github.com/yue9944882))

 - [Action Required] CSI drivers that call IsLikelyNotMountPoint should not assume false means that the path is a mount point. Each CSI driver needs to make sure correct usage of return value of IsLikelyNotMountPoint because if the file is an irregular file but not a mount point is acceptable ([#129370](https://github.com/kubernetes/kubernetes/pull/129370), [@andyzhangx](https://github.com/andyzhangx)) [SIG Storage and Windows]

        a new API for creating `Dataset`s from lists of elements.
    *   Graduated experimental APIs:
        *   [`tf.data.Dataset.counter`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset/#counter),
            which creates `Dataset`s of indefinite sequences of numbers.
        *   [`tf.data.Dataset.ignore_errors`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset/#ignore_errors),