// It's possible to race and suspend the thread just before the park call actually takes effect,
    // causing the thread to be suspended for 3.5 seconds, and then park itself for 2 seconds after
    // being resumed. To avoid a flake in this scenario, calculate how long that thread actually
    // waited and assert based on that time. Empirically, the race where the thread ends up waiting
    // for 5.5 seconds happens about 2% of the time.

    // It's possible to race and suspend the thread just before the park call actually takes effect,
    // causing the thread to be suspended for 3.5 seconds, and then park itself for 2 seconds after
    // being resumed. To avoid a flake in this scenario, calculate how long that thread actually
    // waited and assert based on that time. Empirically, the race where the thread ends up waiting
    // for 5.5 seconds happens about 2% of the time.

================================================================

github.com/beorn7/perks
https://github.com/beorn7/perks
----------------------------------------------------------------
Copyright (C) 2013 Blake Mizerany

Permission is hereby granted, free of charge, to any person obtaining
a copy of this software and associated documentation files (the
"Software"), to deal in the Software without restriction, including

* Only set sysctls for infra containers ([#32383](https://github.com/kubernetes/kubernetes/pull/32383), [@sttts](https://github.com/sttts))
* fix kubectl taint e2e flake: add retries for removing taint ([#33872](https://github.com/kubernetes/kubernetes/pull/33872), [@kevin-wangzefeng](https://github.com/kevin-wangzefeng))

* Adds the same information to an init container as a standard container in a pod when using PodPresets. ([#71479](https://github.com/kubernetes/kubernetes/pull/71479), [@soggiest](https://github.com/soggiest))
* fix the flake in scheduling_queue_test.go ([#74611](https://github.com/kubernetes/kubernetes/pull/74611), [@denkensk](https://github.com/denkensk))

            neural-network-focused hardware features such as AVX512_VNNI,
            AVX512_BF16, AMX, etc.
            ([Intel Cascade Lake](https://www.intel.com/content/www/us/en/products/platforms/details/cascade-lake.html)
            and newer CPUs.)