{"action":"created","issue":{"url":"https://api.github.com/repos/LMFDB/lmfdb/issues/500","repository_url":"https://api.github.com/repos/LMFDB/lmfdb","labels_url":"https://api.github.com/repos/LMFDB/lmfdb/issues/500/labels{/name}","comments_url":"https://api.github.com/repos/LMFDB/lmfdb/issues/500/comments","events_url":"https://api.github.com/repos/LMFDB/lmfdb/issues/500/events","html_url":"https://github.com/LMFDB/lmfdb/issues/500","id":113878197,"number":500,"title":"tensor server error","user":{"login":"swisherh","id":3340359,"avatar_url":"https://avatars.githubusercontent.com/u/3340359?v=3","gravatar_id":"","url":"https://api.github.com/users/swisherh","html_url":"https://github.com/swisherh","followers_url":"https://api.github.com/users/swisherh/followers","following_url":"https://api.github.com/users/swisherh/following{/other_user}","gists_url":"https://api.github.com/users/swisherh/gists{/gist_id}","starred_url":"https://api.github.com/users/swisherh/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/swisherh/subscriptions","organizations_url":"https://api.github.com/users/swisherh/orgs","repos_url":"https://api.github.com/users/swisherh/repos","events_url":"https://api.github.com/users/swisherh/events{/privacy}","received_events_url":"https://api.github.com/users/swisherh/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/LMFDB/lmfdb/labels/feature%20request","name":"feature request","color":"fef2c0"},{"url":"https://api.github.com/repos/LMFDB/lmfdb/labels/Lfcns","name":"Lfcns","color":"eb0490"}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":{"url":"https://api.github.com/repos/LMFDB/lmfdb/milestones/2","html_url":"https://github.com/LMFDB/lmfdb/milestones/v2.0","labels_url":"https://api.github.com/repos/LMFDB/lmfdb/milestones/2/labels","id":1380019,"number":2,"title":"v2.0","description":"in a year from now …","creator":{"login":"haraldschilly","id":207405,"avatar_url":"https://avatars.githubusercontent.com/u/207405?v=3","gravatar_id":"","url":"https://api.github.com/users/haraldschilly","html_url":"https://github.com/haraldschilly","followers_url":"https://api.github.com/users/haraldschilly/followers","following_url":"https://api.github.com/users/haraldschilly/following{/other_user}","gists_url":"https://api.github.com/users/haraldschilly/gists{/gist_id}","starred_url":"https://api.github.com/users/haraldschilly/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/haraldschilly/subscriptions","organizations_url":"https://api.github.com/users/haraldschilly/orgs","repos_url":"https://api.github.com/users/haraldschilly/repos","events_url":"https://api.github.com/users/haraldschilly/events{/privacy}","received_events_url":"https://api.github.com/users/haraldschilly/received_events","type":"User","site_admin":false},"open_issues":31,"closed_issues":7,"state":"open","created_at":"2015-10-27T18:07:07Z","updated_at":"2016-07-04T13:15:51Z","due_on":"2017-04-01T04:00:00Z","closed_at":null},"comments":6,"created_at":"2015-10-28T17:40:30Z","updated_at":"2016-07-08T01:47:20Z","closed_at":null,"body":"If you choose to tensor product two elliptic curves, then select a random elliptic curve in each box and click on “tensor these”, you get a server error\r\n\r\nhttp://beta.lmfdb.org/TensorProducts/show/?obj1=EllipticCurve%2FQ%2F272080%2Fl%2F2&obj2=EllipticCurve%2FQ%2F132800%2Fc%2F1"},"comment":{"url":"https://api.github.com/repos/LMFDB/lmfdb/issues/comments/231255861","html_url":"https://github.com/LMFDB/lmfdb/issues/500#issuecomment-231255861","issue_url":"https://api.github.com/repos/LMFDB/lmfdb/issues/500","id":231255861,"user":{"login":"davidfarmer","id":211500,"avatar_url":"https://avatars.githubusercontent.com/u/211500?v=3","gravatar_id":"","url":"https://api.github.com/users/davidfarmer","html_url":"https://github.com/davidfarmer","followers_url":"https://api.github.com/users/davidfarmer/followers","following_url":"https://api.github.com/users/davidfarmer/following{/other_user}","gists_url":"https://api.github.com/users/davidfarmer/gists{/gist_id}","starred_url":"https://api.github.com/users/davidfarmer/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/davidfarmer/subscriptions","organizations_url":"https://api.github.com/users/davidfarmer/orgs","repos_url":"https://api.github.com/users/davidfarmer/repos","events_url":"https://api.github.com/users/davidfarmer/events{/privacy}","received_events_url":"https://api.github.com/users/davidfarmer/received_events","type":"User","site_admin":false},"created_at":"2016-07-08T01:47:20Z","updated_at":"2016-07-08T01:47:20Z","body":"\nPresumably we should precompute those tensor products, which will\nprobably go at the end of the list of other L-functions we are\nplanning to precompute.\n\nOn Thu, 7 Jul 2016, edgarcosta wrote:\n\n> \n> I don't know at the moment.\n> I would need to look it up. My first approach would be to check the code of L-functions and zeros, to\n> see how they do it.\n> \n> —\n> You are receiving this because you are subscribed to this thread.\n> Reply to this email directly, view it on GitHub, or mute the\n> thread.[AAM6LP1cScxGcfKZXjbN0hodSfv0Yilaks5qTagFgaJpZM4GXkIL.gif]\n> \n> \n>"}}
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