*[{{$N}}*16]byte, src *[{{$N}}*16]byte, ivlo uint64, ivhi uint64) TEXT ·ctrBlocks{{ $N }}Asm(SB),NOSPLIT,$0 MOVD nr+0(FP), NR MOVD xk+8(FP), XK MOVD dst+16(FP), DST MOVD src+24(FP), SRC MOVD ivlo+32(FP), IV_LOW_LE MOVD ivhi+40(FP), IV_HIGH_LE {{/* Prepare plain from IV and blockIndex. */}} {{/* Copy to plaintext registers. */}} {{ range $i := xrange $N }} REV IV_LOW_LE, IV_LOW_BE REV IV_HIGH_LE, IV_HIGH_BE {{- /* https://developer.arm.com/documentation/dui0801/g/A64-SIMD-Vector-Instructions/MOV--v...

        in `early_stopping.py`.

*   `tf.estimator`:

    *   Premade estimators in the tf.estimator.DNN/Linear/DNNLinearCombined
        family have been updated to use `tf.keras.optimizers` instead of the
        `tf.compat.v1.train.Optimizer`s. If you do not pass in an `optimizer=`
        arg or if you use a string, the premade estimator will use the Keras

* ✅ Refactor 2 tests, for consistency and simplification. PR [#9504](https://github.com/tiangolo/fastapi/pull/9504) by [@tiangolo](https://github.com/tiangolo).
* ✅ Refactor OpenAPI tests, prepare for Pydantic v2. PR [#9503](https://github.com/tiangolo/fastapi/pull/9503) by [@tiangolo](https://github.com/tiangolo).