{"action":"created","issue":{"url":"https://api.github.com/repos/numpy/numpy/issues/5470","labels_url":"https://api.github.com/repos/numpy/numpy/issues/5470/labels{/name}","comments_url":"https://api.github.com/repos/numpy/numpy/issues/5470/comments","events_url":"https://api.github.com/repos/numpy/numpy/issues/5470/events","html_url":"https://github.com/numpy/numpy/pull/5470","id":54881108,"number":5470,"title":"Make array data allocator configurable","user":{"login":"pitrou","id":1721820,"avatar_url":"https://avatars.githubusercontent.com/u/1721820?v=3","gravatar_id":"","url":"https://api.github.com/users/pitrou","html_url":"https://github.com/pitrou","followers_url":"https://api.github.com/users/pitrou/followers","following_url":"https://api.github.com/users/pitrou/following{/other_user}","gists_url":"https://api.github.com/users/pitrou/gists{/gist_id}","starred_url":"https://api.github.com/users/pitrou/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pitrou/subscriptions","organizations_url":"https://api.github.com/users/pitrou/orgs","repos_url":"https://api.github.com/users/pitrou/repos","events_url":"https://api.github.com/users/pitrou/events{/privacy}","received_events_url":"https://api.github.com/users/pitrou/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":1,"created_at":"2015-01-20T13:10:56Z","updated_at":"2015-01-20T13:15:14Z","closed_at":null,"pull_request":{"url":"https://api.github.com/repos/numpy/numpy/pulls/5470","html_url":"https://github.com/numpy/numpy/pull/5470","diff_url":"https://github.com/numpy/numpy/pull/5470.diff","patch_url":"https://github.com/numpy/numpy/pull/5470.patch"},"body":"This is an alternative to #5457: it allows to configure the array data allocator at runtime using a C API.\r\n"},"comment":{"url":"https://api.github.com/repos/numpy/numpy/issues/comments/70651147","html_url":"https://github.com/numpy/numpy/pull/5470#issuecomment-70651147","issue_url":"https://api.github.com/repos/numpy/numpy/issues/5470","id":70651147,"user":{"login":"pitrou","id":1721820,"avatar_url":"https://avatars.githubusercontent.com/u/1721820?v=3","gravatar_id":"","url":"https://api.github.com/users/pitrou","html_url":"https://github.com/pitrou","followers_url":"https://api.github.com/users/pitrou/followers","following_url":"https://api.github.com/users/pitrou/following{/other_user}","gists_url":"https://api.github.com/users/pitrou/gists{/gist_id}","starred_url":"https://api.github.com/users/pitrou/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pitrou/subscriptions","organizations_url":"https://api.github.com/users/pitrou/orgs","repos_url":"https://api.github.com/users/pitrou/repos","events_url":"https://api.github.com/users/pitrou/events{/privacy}","received_events_url":"https://api.github.com/users/pitrou/received_events","type":"User","site_admin":false},"created_at":"2015-01-20T13:15:14Z","updated_at":"2015-01-20T13:15:14Z","body":"Note this isn't as simple as it would ideally be, as the use of PyDataMem_ APIs is currently diverse and there's also the internal caching APIs.\r\n"}}