* `tf.nn`
  * Added `tf.nn.experimental.general_dropout`, which is similar to `tf.random.experimental.stateless_dropout` but accepts a custom sampler function.
* `tf.types.experimental.GenericFunction`
  * The `experimental_get_compiler_ir` method supports tf.TensorSpec compilation arguments.
*  `tf.config.experimental.mlir_bridge_rollout`

        * [Microservice in Python using FastAPI](https://dev.to/paurakhsharma/microservice-in-python-using-fastapi-24cc)  by [Paurakh Sharma Humagain](https://x.com/PaurakhSharma).
        * [Build simple API service with Python FastAPI — Part 1](https://dev.to/cuongld2/build-simple-api-service-with-python-fastapi-part-1-581o) by [cuongld2](https://dev.to/cuongld2).

- ACTION REQUIRED: Support for basic authentication via the --basic-auth-file flag has been removed.  Users should migrate to --token-auth-file for similar functionality. ([#89069](https://github.com/kubernetes/kubernetes/pull/89069), [@enj](https://github.com/enj)) [SIG API Machinery]

     * @throws NumberFormatException When the property is not integer.
     */
    Integer getLogNotificationIntervalAsInteger();

    /**
     * The simple implementation for configuration.
     * @author FreeGen
     */
    public static class SimpleImpl extends FessEnv.SimpleImpl implements FessConfig {

func (out *Nat) ExpShortVarTime(x *Nat, e uint, m *Modulus) *Nat { if !m.odd { panic("bigmod: modulus for ExpShortVarTime must be odd") } // For short exponents, precomputing a table and using a window like in Exp // doesn't pay off. Instead, we do a simple conditional square-and-multiply // chain, skipping the initial run of zeroes. xR := NewNat().set(x).montgomeryRepresenta(m) out.set(xR) for i := bits.UintSize - bits.Len(e) + 1; i < bits.UintSize; i++ { out.montgomeryMul(out, out, m) if k := (e >>...

func (out *Nat) ExpShortVarTime(x *Nat, e uint, m *Modulus) *Nat { if !m.odd { panic("bigmod: modulus for ExpShortVarTime must be odd") } // For short exponents, precomputing a table and using a window like in Exp // doesn't pay off. Instead, we do a simple conditional square-and-multiply // chain, skipping the initial run of zeroes. xR := NewNat().set(x).montgomeryRepresenta(m) out.set(xR) for i := bits.UintSize - bits.Len(e) + 1; i < bits.UintSize; i++ { out.montgomeryMul(out, out, m) if k := (e >>...