| commit | c0588b0ea3a6bf9599b5f275fac62e04dc3a009a | [log] [tgz] |
|---|---|---|
| author | bnc <bnc@google.com> | Tue Oct 06 10:53:30 2020 -0700 |
| committer | Copybara-Service <copybara-worker@google.com> | Tue Oct 06 11:53:27 2020 -0700 |
| tree | 05fa2e680b9fb6cdf33fe8833e2dc50fe482691c | |
| parent | d7be62c714fef2c2bf00bf1e173a2d1fc50fddb5 [diff] |
Change Huffman encoder benchmark to typical character distribution. Reimplement a Huffman decoder and run it on random binary input to generate characters from the ideal distribution corresponding to the Huffman code. This is much closer to real life usage than repeated 'a' characters, giving more meaningful benchmark results. PiperOrigin-RevId: 335674758 Change-Id: I7f90439066691b45fea693715091f70b15628920