)]}'
{
  "commit": "8b8aac5e3d1edf8f164915e4018dbcbbacc6e341",
  "tree": "4476fb43267f0f935cf68ff847e8d385d92119b2",
  "parents": [
    "36a1e9ca74202e8c957ad111a40d13f7959599d4"
  ],
  "author": {
    "name": "Andrew Bennetts",
    "email": "abennetts@fuchsia.infra.roller.google.com",
    "time": "Tue Apr 27 08:49:14 2021 +0000"
  },
  "committer": {
    "name": "Copybara-Service",
    "email": "copybara-worker@google.com",
    "time": "Tue Apr 27 01:50:09 2021 -0700"
  },
  "message": "[roll] Roll external/github.com/catapult-project/catapult chromeperf: Add quartiles and coefficient of variation to calc_stats.\n\nQuartiles will enable box plots charts to visualise how these\ndistributions shift over time, and coefficient of variation helps us\nunderstand signal quality.\n\nThis change also adds a simple optimisation of explicitly converting the\nsamples list to a numpy array before calling the various scipy stats\nfunctions, so that scipy doesn\u0027t repeatedly do this expensive conversion\nimplicitly.  This matters more and more as we add more scipy calls in\nthis pipeline.\n\nOriginal-Reviewed-on: https://chromium-review.googlesource.com/c/catapult/+/2851828\nOriginal-Revision: 0cfa2c068604d31cc110728dde632ddaeeabfa97\nGitOrigin-RevId: 959f3b4e3fcbc64c8fb5813ab86477f975d7e0ce\nChange-Id: Ieb1dba99fae8376921e9df253164049144b50e9a\n",
  "tree_diff": [
    {
      "type": "modify",
      "old_id": "4dca3c3b1a196a1f2f7a98868caf3f7ab05e3fe8",
      "old_mode": 33188,
      "old_path": "third_party/flower",
      "new_id": "032657b8d16fb609dd8a693fcf37d018cf3b71f3",
      "new_mode": 33188,
      "new_path": "third_party/flower"
    }
  ]
}