)]}'
{
  "commit": "5bda52d4e8ec72834e194bd0bbadccabbdcceb10",
  "tree": "859cc6560f5404364f8516cd20064af55e6f2ab4",
  "parents": [
    "5ae220bef6b44f7384738a55fd3374e5c9b2713c"
  ],
  "author": {
    "name": "Lode Vandevenne",
    "email": "lode@google.com",
    "time": "Fri Nov 27 14:01:54 2015 +0000"
  },
  "committer": {
    "name": "James Zern",
    "email": "jzern@google.com",
    "time": "Thu Dec 03 00:22:50 2015 -0800"
  },
  "message": "Make a separate case for low_effort in CopyImageWithPrediction\n\nfor more speed.\n\nThis gives a roughly a 1% speedup for low_effort. But actually this is a\npreparation for the upcoming CL that changes RGB values of transparent pixels\nbased on prediction, which should not be done for low_effort because that would\nslightly hurt its performance.\n\nOn 1000 PNGs, with quality 0, method 0:\nBefore:\nCompression (output/input): 2.9120/3.2667 bpp, Encode rate (raw data): 36.034 MP/s\nAfter:\nCompression (output/input): 2.9120/3.2667 bpp, Encode rate (raw data): 36.428 MP/s\n\nChange-Id: I5ed9f599bbf908a917723f3c780551ceb7fd724d\n",
  "tree_diff": [
    {
      "type": "modify",
      "old_id": "b3036f5384735d5f48826496f08012ef8b8d2e54",
      "old_mode": 33188,
      "old_path": "src/dsp/lossless_enc.c",
      "new_id": "7facf0b97647a4c1a73771e2f2ef80df18e27555",
      "new_mode": 33188,
      "new_path": "src/dsp/lossless_enc.c"
    }
  ]
}