* application/zip=zip<br>
     * application/x-7z-comressed=7z<br>
     * application/x-bzip=bz<br>
     * application/x-bzip2=bz2<br>
     * application/x-tar=tar<br>
     * application/x-rar-compressed=rar<br>
     * video/3gp=3gp<br>
     * video/3g2=3g2<br>
     * video/x-msvideo=avi<br>
     * video/x-flv=flv<br>
     * video/mpeg=mpeg<br>
     * video/mp4=mp4<br>
     * video/ogv=ogv<br>

{{.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,...

        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