{"action":"closed","issue":{"url":"https://api.github.com/repos/numpy/numpy/issues/6590","labels_url":"https://api.github.com/repos/numpy/numpy/issues/6590/labels{/name}","comments_url":"https://api.github.com/repos/numpy/numpy/issues/6590/comments","events_url":"https://api.github.com/repos/numpy/numpy/issues/6590/events","html_url":"https://github.com/numpy/numpy/issues/6590","id":114241607,"number":6590,"title":"Fortran Array problem in numpy 1.10","user":{"login":"oeway","id":478667,"avatar_url":"https://avatars.githubusercontent.com/u/478667?v=3","gravatar_id":"","url":"https://api.github.com/users/oeway","html_url":"https://github.com/oeway","followers_url":"https://api.github.com/users/oeway/followers","following_url":"https://api.github.com/users/oeway/following{/other_user}","gists_url":"https://api.github.com/users/oeway/gists{/gist_id}","starred_url":"https://api.github.com/users/oeway/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/oeway/subscriptions","organizations_url":"https://api.github.com/users/oeway/orgs","repos_url":"https://api.github.com/users/oeway/repos","events_url":"https://api.github.com/users/oeway/events{/privacy}","received_events_url":"https://api.github.com/users/oeway/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/numpy/numpy/labels/component:%20numpy.core","name":"component: numpy.core","color":"ff0000"},{"url":"https://api.github.com/repos/numpy/numpy/labels/Defect","name":"Defect","color":"444444"}],"state":"closed","locked":false,"assignee":null,"milestone":{"url":"https://api.github.com/repos/numpy/numpy/milestones/39","html_url":"https://github.com/numpy/numpy/milestones/1.10.2%20release","labels_url":"https://api.github.com/repos/numpy/numpy/milestones/39/labels","id":1353924,"number":39,"title":"1.10.2 release","description":"","creator":{"login":"charris","id":77272,"avatar_url":"https://avatars.githubusercontent.com/u/77272?v=3","gravatar_id":"","url":"https://api.github.com/users/charris","html_url":"https://github.com/charris","followers_url":"https://api.github.com/users/charris/followers","following_url":"https://api.github.com/users/charris/following{/other_user}","gists_url":"https://api.github.com/users/charris/gists{/gist_id}","starred_url":"https://api.github.com/users/charris/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/charris/subscriptions","organizations_url":"https://api.github.com/users/charris/orgs","repos_url":"https://api.github.com/users/charris/repos","events_url":"https://api.github.com/users/charris/events{/privacy}","received_events_url":"https://api.github.com/users/charris/received_events","type":"User","site_admin":false},"open_issues":1,"closed_issues":41,"state":"open","created_at":"2015-10-13T19:48:01Z","updated_at":"2015-11-02T01:05:57Z","due_on":null,"closed_at":null},"comments":26,"created_at":"2015-10-30T10:22:07Z","updated_at":"2015-11-02T01:05:57Z","closed_at":"2015-11-02T01:05:57Z","body":"Hi,\r\n\r\nI think I got a problem related to the numpy function np.asfortranarray. \r\nI am using numpy 1.10 with a pacakge named SPAMS(http://spams-devel.gforge.inria.fr/), it keep complaining that the input array is not a fortran array, but I used np.asfortranarray to convert it indeed. Then I tried to downgrade to numpy 1.9.3, it worked quite well, so I think there is a bug introduced since 1.10.\r\n\r\nTo reproduce the problem:\r\n```\r\nwget https://gforge.inria.fr/frs/download.php/latestfile/4532/spams-python-v2.5-svn2014-07-04.tar.gz\r\ntar -xvf spams-python-v2.5-svn2014-07-04.tar.gz\r\ncd spams-python\r\nsudo python setup.py install\r\n```\r\nTo run the test, you need to \"cd spams-python\" and them run the following code:\r\n```\r\nfrom test_dictLearn import *\r\ntest_trainDL()\r\n```\r\nAnd if you are using numpy 1.10 then it will complain an error immediately, if you use numpy 1.9.3 then it will run the test.\r\n\r\n\r\nThanks in advance to look into this.\r\n\r\nBest,\r\nWill\r\n"}}