{"action":"closed","issue":{"url":"https://api.github.com/repos/b45ch1/pyadolc/issues/23","repository_url":"https://api.github.com/repos/b45ch1/pyadolc","labels_url":"https://api.github.com/repos/b45ch1/pyadolc/issues/23/labels{/name}","comments_url":"https://api.github.com/repos/b45ch1/pyadolc/issues/23/comments","events_url":"https://api.github.com/repos/b45ch1/pyadolc/issues/23/events","html_url":"https://github.com/b45ch1/pyadolc/issues/23","id":144511486,"number":23,"title":"Do not use ==/!= None","user":{"login":"seberg","id":61977,"avatar_url":"https://avatars.githubusercontent.com/u/61977?v=3","gravatar_id":"","url":"https://api.github.com/users/seberg","html_url":"https://github.com/seberg","followers_url":"https://api.github.com/users/seberg/followers","following_url":"https://api.github.com/users/seberg/following{/other_user}","gists_url":"https://api.github.com/users/seberg/gists{/gist_id}","starred_url":"https://api.github.com/users/seberg/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/seberg/subscriptions","organizations_url":"https://api.github.com/users/seberg/orgs","repos_url":"https://api.github.com/users/seberg/repos","events_url":"https://api.github.com/users/seberg/events{/privacy}","received_events_url":"https://api.github.com/users/seberg/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"milestone":null,"comments":1,"created_at":"2016-03-30T09:05:14Z","updated_at":"2016-03-30T15:39:12Z","closed_at":"2016-03-30T15:39:12Z","body":"Adolc still uses `== None` and `!= None` in some places. These should be replaced with `is None` and `is not None`. This is better style, but mostly NumPy nowadays warns about not using `== None` because we want to make this an elementwise comparison. So if you have `if arr == None: ...` it will start failing at some point.\r\n(There are deprecation warnings for this in place, but since they are not often seen, and I noticed this, thought I would mention, if I ever run into the warning again I might create a PR, but I don't use pyadolc a lot at the moment)."}}