2) buf[0] |= y.Bytes()[{{.p}}ElementLength-1] & 1 buf = append(buf, x.Bytes()...) return buf } // Add sets q = p1 + p2, and returns q. The points may overlap. func (q *{{.P}}Point) Add(p1, p2 *{{.P}}Point) *{{.P}}Point { // Complete addition formula for a = -3 from "Complete addition formulas for // prime order elliptic curves" (https://eprint.iacr.org/2015/1060), §A.2. t0 := new({{.Element}}).Mul(p1.x, p2.x) // t0 := X1 * X2 t1 := new({{.Element}}).Mul(p1.y, p2.y) // t1 := Y1 * Y2 t2 := new({{....

2) buf[0] |= y.Bytes()[{{.p}}ElementLength-1] & 1 buf = append(buf, x.Bytes()...) return buf } // Add sets q = p1 + p2, and returns q. The points may overlap. func (q *{{.P}}Point) Add(p1, p2 *{{.P}}Point) *{{.P}}Point { // Complete addition formula for a = -3 from "Complete addition formulas for // prime order elliptic curves" (https://eprint.iacr.org/2015/1060), §A.2. t0 := new({{.Element}}).Mul(p1.x, p2.x) // t0 := X1 * X2 t1 := new({{.Element}}).Mul(p1.y, p2.y) // t1 := Y1 * Y2 t2 := new({{....

- Containers which specify a `startupProbe` but not a `readinessProbe` were previously considered "ready" before the `startupProbe` completed, but are now considered "not-ready". ([#92196](https://github.com/kubernetes/kubernetes/pull/92196), [@thockin](https://github.com/thockin)) [SIG Node]

    on Ampere based GPUs. TensorFloat-32, or TF32 for short, is a math mode for
    NVIDIA Ampere based GPUs and is enabled by default.

*   A major refactoring of the internals of the Keras Functional API has been
    completed, that should improve the reliability, stability, and performance
    of constructing Functional models.

*   Keras mixed precision API

INFO:     Started reloader process [2248755] using WatchFiles
INFO:     Started server process [2248757]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
```

### Refactors