{"action":"created","issue":{"url":"https://api.github.com/repos/numpy/numpydoc/issues/69","repository_url":"https://api.github.com/repos/numpy/numpydoc","labels_url":"https://api.github.com/repos/numpy/numpydoc/issues/69/labels{/name}","comments_url":"https://api.github.com/repos/numpy/numpydoc/issues/69/comments","events_url":"https://api.github.com/repos/numpy/numpydoc/issues/69/events","html_url":"https://github.com/numpy/numpydoc/issues/69","id":185761885,"node_id":"MDU6SXNzdWUxODU3NjE4ODU=","number":69,"title":"toctree contains reference to nonexisting document ","user":{"login":"amueller","id":449558,"node_id":"MDQ6VXNlcjQ0OTU1OA==","avatar_url":"https://avatars3.githubusercontent.com/u/449558?v=4","gravatar_id":"","url":"https://api.github.com/users/amueller","html_url":"https://github.com/amueller","followers_url":"https://api.github.com/users/amueller/followers","following_url":"https://api.github.com/users/amueller/following{/other_user}","gists_url":"https://api.github.com/users/amueller/gists{/gist_id}","starred_url":"https://api.github.com/users/amueller/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/amueller/subscriptions","organizations_url":"https://api.github.com/users/amueller/orgs","repos_url":"https://api.github.com/users/amueller/repos","events_url":"https://api.github.com/users/amueller/events{/privacy}","received_events_url":"https://api.github.com/users/amueller/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":16,"created_at":"2016-10-27T19:42:32Z","updated_at":"2018-06-14T14:13:27Z","closed_at":null,"author_association":"CONTRIBUTOR","body":"I'm still trying to migrate scikit-learn to numpydoc master.\nI'm having some trouble with this issue:\nhttp://stackoverflow.com/questions/12206334/sphinx-autosummary-toctree-contains-reference-to-nonexisting-document-warnings\n\nApparently something goes wrong with when autosummary is called?\nThat didn't use to be the case.\nI can't really do `numpydoc_show_class_members = False` because then there is no method table any more :(\n"},"comment":{"url":"https://api.github.com/repos/numpy/numpydoc/issues/comments/397310877","html_url":"https://github.com/numpy/numpydoc/issues/69#issuecomment-397310877","issue_url":"https://api.github.com/repos/numpy/numpydoc/issues/69","id":397310877,"node_id":"MDEyOklzc3VlQ29tbWVudDM5NzMxMDg3Nw==","user":{"login":"jorisvandenbossche","id":1020496,"node_id":"MDQ6VXNlcjEwMjA0OTY=","avatar_url":"https://avatars2.githubusercontent.com/u/1020496?v=4","gravatar_id":"","url":"https://api.github.com/users/jorisvandenbossche","html_url":"https://github.com/jorisvandenbossche","followers_url":"https://api.github.com/users/jorisvandenbossche/followers","following_url":"https://api.github.com/users/jorisvandenbossche/following{/other_user}","gists_url":"https://api.github.com/users/jorisvandenbossche/gists{/gist_id}","starred_url":"https://api.github.com/users/jorisvandenbossche/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jorisvandenbossche/subscriptions","organizations_url":"https://api.github.com/users/jorisvandenbossche/orgs","repos_url":"https://api.github.com/users/jorisvandenbossche/repos","events_url":"https://api.github.com/users/jorisvandenbossche/events{/privacy}","received_events_url":"https://api.github.com/users/jorisvandenbossche/received_events","type":"User","site_admin":false},"created_at":"2018-06-14T14:13:27Z","updated_at":"2018-06-14T14:13:27Z","author_association":"CONTRIBUTOR","body":"It's related to the longish discussion I had here https://github.com/numpy/numpydoc/pull/106#issuecomment-343220139. \r\nI still think it would be good if numpydoc would want to support this usecase of keeping the Attributes listing as they were before for downstream users as pandas (and numpy? don't know if they want to keep it)\r\n\r\nI have a PR that does that (https://github.com/numpy/numpydoc/pull/161), but of course, that's still a bit independent from the discussion in this issue about the hack in the class template and the warnings (for this, in pandas we long time ago just copied the hack from numpy). I would also need to look at it again to again understand why it was needed."}}
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