### Deprecation

- Added support for vSphere in-tree volumes migration to vSphere CSI driver. The in-tree vSphere Volume plugin will be deprecated and removed in a future release.
  

`tensorflow` pip package has a new, optional installation method for Linux that installs necessary Nvidia CUDA libraries through pip. As long as the Nvidia driver is already installed on the system, you may now run `pip install tensorflow[and-cuda]` to install TensorFlow's Nvidia CUDA library dependencies in the Python environment. Aside from the Nvidia driver, no other pre-existing Nvidia CUDA packages are necessary.

*   Enable JIT-compiled i64-indexed kernels on GPU for large tensors with more...

* ✏ Rewording in `docs/en/docs/tutorial/debugging.md`. PR [#9581](https://github.com/tiangolo/fastapi/pull/9581) by [@ivan-abc](https://github.com/ivan-abc).
* 📝 Add german blog post (Domain-driven Design mit Python und FastAPI). PR [#9261](https://github.com/tiangolo/fastapi/pull/9261) by [@msander](https://github.com/msander).

< nk; i++ { c.enc[i] = byteorder.BEUint32(key[4*i:]) } for ; i < c.roundKeysSize(); i++ { t := c.enc[i-1] if i%nk == 0 { t = subw(rotw(t)) ^ (uint32(powx[i/nk-1]) << 24) } else if nk > 6 && i%nk == 4 { t = subw(t) } c.enc[i] = c.enc[i-nk] ^ t } // Derive decryption key from encryption key. // Reverse the 4-word round key sets from enc to produce dec. // All sets but the first and last get the MixColumn transform applied. n := c.roundKeysSize() for i := 0; i < n; i += 4 { ei := n - i - 4 for j := 0;...