specify a class index to be ignored during loss/metric computation (e.g.
        a background/void class).
    *   Added
        [`tf.keras.models.experimental.SharpnessAwareMinimization`](https://www.tensorflow.org/api_docs/python/tf/keras/models/experimental/SharpnessAwareMinimization).
        This class implements the sharpness-aware minimization technique, which

- Client-go certificate manager rotation gained the ability to preserve optional intermediate chains accompanying issued certificates ([#88744](https://github.com/kubernetes/kubernetes/pull/88744), [@jackkleeman](https://github.com/jackkleeman)) [SIG API Machinery and Auth]

Before Starlette `0.24.0`, a new instance of each middleware class would be created when a new middleware was added. That normally was not a problem, unless the middleware class expected to be created only once, with only one instance, that happened in some cases. This upgrade would solve those cases (thanks [@adriangb](https://github.com/adriangb)! Starlette PR [#2017](https://github.com/encode/starlette/pull/2017)). Now the middleware class instances are created once, right before the first request...

     */
    Integer getSchedulerTargetNameAsInteger();

    /**
     * Get the value for the key 'scheduler.job.class'. <br>
     * The value is, e.g. org.codelibs.fess.app.job.ScriptExecutorJob <br>
     * comment: Job class for the scheduler.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getSchedulerJobClass();

!purego && (386 || amd64 || arm || arm64 || loong64 || ppc64 || ppc64le || riscv64 || s390x) package bigmod import ( "crypto/internal/fips140deps/cpu" "crypto/internal/impl" ) // amd64 assembly uses ADCX/ADOX/MULX if ADX is available to run two carry // chains in the flags in parallel across the whole operation, and aggressively // unrolls loops. arm64 processes four words at a time. // // It's unclear why the assembly for all other architectures, as well as for // amd64 without ADX, perform better than...