{"action":"created","issue":{"url":"https://api.github.com/repos/softdevteam/warmup_experiment/issues/153","repository_url":"https://api.github.com/repos/softdevteam/warmup_experiment","labels_url":"https://api.github.com/repos/softdevteam/warmup_experiment/issues/153/labels{/name}","comments_url":"https://api.github.com/repos/softdevteam/warmup_experiment/issues/153/comments","events_url":"https://api.github.com/repos/softdevteam/warmup_experiment/issues/153/events","html_url":"https://github.com/softdevteam/warmup_experiment/pull/153","id":175281522,"number":153,"title":"Use PyPy to calculate outliers.","user":{"login":"snim2","id":97674,"avatar_url":"https://avatars.githubusercontent.com/u/97674?v=3","gravatar_id":"","url":"https://api.github.com/users/snim2","html_url":"https://github.com/snim2","followers_url":"https://api.github.com/users/snim2/followers","following_url":"https://api.github.com/users/snim2/following{/other_user}","gists_url":"https://api.github.com/users/snim2/gists{/gist_id}","starred_url":"https://api.github.com/users/snim2/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/snim2/subscriptions","organizations_url":"https://api.github.com/users/snim2/orgs","repos_url":"https://api.github.com/users/snim2/repos","events_url":"https://api.github.com/users/snim2/events{/privacy}","received_events_url":"https://api.github.com/users/snim2/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":{"login":"ltratt","id":20318,"avatar_url":"https://avatars.githubusercontent.com/u/20318?v=3","gravatar_id":"","url":"https://api.github.com/users/ltratt","html_url":"https://github.com/ltratt","followers_url":"https://api.github.com/users/ltratt/followers","following_url":"https://api.github.com/users/ltratt/following{/other_user}","gists_url":"https://api.github.com/users/ltratt/gists{/gist_id}","starred_url":"https://api.github.com/users/ltratt/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ltratt/subscriptions","organizations_url":"https://api.github.com/users/ltratt/orgs","repos_url":"https://api.github.com/users/ltratt/repos","events_url":"https://api.github.com/users/ltratt/events{/privacy}","received_events_url":"https://api.github.com/users/ltratt/received_events","type":"User","site_admin":false},"assignees":[{"login":"ltratt","id":20318,"avatar_url":"https://avatars.githubusercontent.com/u/20318?v=3","gravatar_id":"","url":"https://api.github.com/users/ltratt","html_url":"https://github.com/ltratt","followers_url":"https://api.github.com/users/ltratt/followers","following_url":"https://api.github.com/users/ltratt/following{/other_user}","gists_url":"https://api.github.com/users/ltratt/gists{/gist_id}","starred_url":"https://api.github.com/users/ltratt/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ltratt/subscriptions","organizations_url":"https://api.github.com/users/ltratt/orgs","repos_url":"https://api.github.com/users/ltratt/repos","events_url":"https://api.github.com/users/ltratt/events{/privacy}","received_events_url":"https://api.github.com/users/ltratt/received_events","type":"User","site_admin":false}],"milestone":null,"comments":11,"created_at":"2016-09-06T15:44:26Z","updated_at":"2016-09-06T16:40:23Z","closed_at":null,"pull_request":{"url":"https://api.github.com/repos/softdevteam/warmup_experiment/pulls/153","html_url":"https://github.com/softdevteam/warmup_experiment/pull/153","diff_url":"https://github.com/softdevteam/warmup_experiment/pull/153.diff","patch_url":"https://github.com/softdevteam/warmup_experiment/pull/153.patch"},"body":"This PR splits the outliers per threshold script into two: one script to generate outlier data, and one script to plot that data.\r\n\r\nThe new `calculate_outliers_by_threshold.py` script should be run with PyPy. It takes as an argument one or more Krun results files, and produces a single file called `outliers_per_threshold.json.bz2`. This mirrors the `mark_outliers_in_json.py` script which reads in a Krun results file and produces a JSON file which includes outlier information.\r\n\r\nThe old `plot_outliers_by_threshold.py` now reads in `outliers_per_threshold.json.bz2` and produces a PDF file. \r\n\r\nThis brings the processing time on bencher2 down from >1 hour to around 15-20 minutes. \r\n\r\nAttached are two example files: \r\n\r\n  1. [master_outliers_per_threshold.pdf](https://github.com/softdevteam/warmup_experiment/files/457104/master_outliers_per_threshold.pdf)\r\n which was generated with the script currently on the master branch\r\n  2. [outliers_per_threshold.pdf](https://github.com/softdevteam/warmup_experiment/files/457103/outliers_per_threshold.pdf)\r\n generated with the scripts on this new branch.\r\n\r\nFixes #151."},"comment":{"url":"https://api.github.com/repos/softdevteam/warmup_experiment/issues/comments/245011342","html_url":"https://github.com/softdevteam/warmup_experiment/pull/153#issuecomment-245011342","issue_url":"https://api.github.com/repos/softdevteam/warmup_experiment/issues/153","id":245011342,"user":{"login":"snim2","id":97674,"avatar_url":"https://avatars.githubusercontent.com/u/97674?v=3","gravatar_id":"","url":"https://api.github.com/users/snim2","html_url":"https://github.com/snim2","followers_url":"https://api.github.com/users/snim2/followers","following_url":"https://api.github.com/users/snim2/following{/other_user}","gists_url":"https://api.github.com/users/snim2/gists{/gist_id}","starred_url":"https://api.github.com/users/snim2/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/snim2/subscriptions","organizations_url":"https://api.github.com/users/snim2/orgs","repos_url":"https://api.github.com/users/snim2/repos","events_url":"https://api.github.com/users/snim2/events{/privacy}","received_events_url":"https://api.github.com/users/snim2/received_events","type":"User","site_admin":false},"created_at":"2016-09-06T16:40:22Z","updated_at":"2016-09-06T16:40:22Z","body":"Yes, I'm very pleased. This code will be much easier to work with in future.\r\n\r\nWhat other changes do you want made before we squash?"}}
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