your editor will help you notice missing **required arguments**, Python will require you to pass required arguments at **runtime**, you will be able to **use the same functions** for different things and with different libraries (e.g. **Typer** will soon support `Annotated` too, then you could use the same function for an API and a CLI), etc.

Because `Annotated` is **standard Python**, you still get all the **benefits** from editors and tools, like **autocompletion**, **inline errors**,...

    *   Minor API changes to represent Single Device Layout for non-distributed Tensors inside DTensor functions. Runtime support will be added soon.

*   `tf.experimental.ExtensionType`

    *   `tf.experimental.ExtensionType` now supports Python `tuple` as the type annotation of its fields.

*   `tf.nest`

entering // the "error state") if the self-test fails. // // CASTs are mandatory self-checks that must be performed by FIPS 140-3 modules // before the algorithm is used. See Implementation Guidance 10.3.A. // // The name must not contain commas, colons, hashes, or equal signs. // // If a package p calls CAST from its init function, an import of p should also // be added to crypto/internal/fips140test. If a package p calls CAST on the first // use of the algorithm, an invocation of that algorithm...