{{.p}}CheckOnCurve(x, y); err != nil { return nil, err } p.x.Set(x) p.y.Set(y) p.z.One() return p, nil // Compressed form. case len(b) == 1+{{.p}}ElementLength && (b[0] == 2 || b[0] == 3): x, err := new({{.Element}}).SetBytes(b[1:]) if err != nil { return nil, err } // y² = x³ - 3x + b y := {{.p}}Polynomial(new({{.Element}}), x) if !{{.p}}Sqrt(y, y) { return nil, errors.New("invalid {{.P}} compressed point encoding") } // Select the positive or negative root, as indicated by the least // significant bit,...

exposed by a sidecar could not be accessed using a Service. ([#128850](https://github.com/kubernetes/kubernetes/pull/128850), [@toVersus](https://github.com/toVersus)) [SIG Network and Testing]
- Fixed compressed kubelet log file permissions to use uncompressed kubelet log file permissions. ([#129893](https://github.com/kubernetes/kubernetes/pull/129893), [@simonfogliato](https://github.com/simonfogliato)) [SIG Node]

* New kubeDNS image fixes an issue where SRV records were incorrectly being compressed. Added manifest file for multiple arch images. ([#68430](https://github.com/kubernetes/kubernetes/pull/68430), [@prameshj](https://github.com/prameshj))

* Kubernetes now supports transparent compression of API responses. Clients that send `Accept-Encoding: gzip` will now receive a GZIP compressed response body if the API call was larger than 128KB.  Go clients automatically request gzip-encoding by default and should see reduced transfer times for very large API requests.  Clients in other languages may need to make changes to benefit from...

- New flag `--disable-compression-for-client-ips` can be used to control client address ranges for which traffic shouldn't be compressed. ([#111507](https://github.com/kubernetes/kubernetes/pull/111507), [@mborsz](https://github.com/mborsz)) [SIG API Machinery]

        round robin reads, users can guarantee that consumers get similar-sized
        examples in the same step.
    *   tf.data service now supports optional compression. Previously data would
        always be compressed, but now you can disable compression by passing
        `compression=None` to `tf.data.experimental.service.distribute(...)`.
    *   `tf.data.Dataset.batch()` now supports `num_parallel_calls` and