`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...

*MasterSecret { derived := deriveSecret(s.hash, s.secret, "derived", nil) return &MasterSecret{ secret: extract(s.hash, nil, derived), hash: s.hash, } } // ClientApplicationTra derives the client_application_traffic_secret_0 // from the master secret and the transcript up to the server Finished. func (s *MasterSecret) ClientApplicationTra(transcript fips140.Hash) []byte { return deriveSecret(s.hash, s.secret, clientApplicationTra, transcript) } // ServerApplicationTra derives the server_application_traffic_secret_0...

} type HandshakeSecret struct { secret []byte hash func() hash.Hash } func (s *EarlySecret) HandshakeSecret(sharedSecret []byte) *HandshakeSecret { derived := deriveSecret(s.hash, s.secret, "derived", nil) return &HandshakeSecret{ secret: extract(s.hash, sharedSecret, derived), hash: s.hash, } } // ClientHandshakeTraff derives the client_handshake_traffic_secret from // the handshake secret and the transcript up to the ServerHello. func (s *HandshakeSecret) ClientHandshakeTraff(transcript hash.Hash)...

* ✏ 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).