:= range []uint8{1, 4, 10} { for a := uint16(0); a < 1<<bits; a++ { f := decompress(a, bits) if f >= q { t.Fatalf("decompress(%d, %d) = %d >= q", a, bits, f) } got := compress(f, bits) if got != a { t.Fatalf("compress(decompress(%d, %d), %d) = %d", a, bits, bits, got) } } for a := fieldElement(0); a < q; a++ { c := compress(a, bits) if c >= 1<<bits { t.Fatalf("compress(%d, %d) = %d >= 2^bits", a, bits, c) } got := decompress(c, bits) diff := min(a-got, got-a, a-got+q, got-a+q) ceil := q / (1 << bits)...

:= range []uint8{1, 4, 10} { for a := uint16(0); a < 1<<bits; a++ { f := decompress(a, bits) if f >= q { t.Fatalf("decompress(%d, %d) = %d >= q", a, bits, f) } got := compress(f, bits) if got != a { t.Fatalf("compress(decompress(%d, %d), %d) = %d", a, bits, bits, got) } } for a := fieldElement(0); a < q; a++ { c := compress(a, bits) if c >= 1<<bits { t.Fatalf("compress(%d, %d) = %d >= 2^bits", a, bits, c) } got := decompress(c, bits) diff := min(a-got, got-a, a-got+q, got-a+q) ceil := q / (1 << bits)...

- 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)

     * 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>

        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