four coefficients per five bytes. // // It implements Compress₁₀, according to FIPS 203, Definition 4.7, // followed by ByteEncode₁₀, according to FIPS 203, Algorithm 5. func ringCompressAndEncod(s []byte, f ringElement) []byte { s, b := sliceForAppend(s, encodingSize10) for i := 0; i < n; i += 4 { var x uint64 x |= uint64(compress(f[i], 10)) x |= uint64(compress(f[i+1], 10)) << 10 x |= uint64(compress(f[i+2], 10)) << 20 x |= uint64(compress(f[i+3], 10)) << 30 b[0] = uint8(x) b[1] = uint8(x >> 8)...

        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

     * 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>

- github.com/jellevandenhooff/dkim: [f50fe3d](https://github.com/jellevandenhooff/dkim/tree/f50fe3d)
- github.com/klauspost/compress: [v1.4.1](https://github.com/klauspost/compress/tree/v1.4.1)
- github.com/logrusorgru/aurora: [a7b3b31](https://github.com/logrusorgru/aurora/tree/a7b3b31)
- github.com/mattn/go-shellwords: [v1.0.5](https://github.com/mattn/go-shellwords/tree/v1.0.5)