{"action":"created","issue":{"url":"https://api.github.com/repos/numpy/numpy/issues/8233","repository_url":"https://api.github.com/repos/numpy/numpy","labels_url":"https://api.github.com/repos/numpy/numpy/issues/8233/labels{/name}","comments_url":"https://api.github.com/repos/numpy/numpy/issues/8233/comments","events_url":"https://api.github.com/repos/numpy/numpy/issues/8233/events","html_url":"https://github.com/numpy/numpy/issues/8233","id":187119042,"number":8233,"title":"Long runtime in numpy.exp()","user":{"login":"martin-hahn","id":23242456,"avatar_url":"https://avatars.githubusercontent.com/u/23242456?v=3","gravatar_id":"","url":"https://api.github.com/users/martin-hahn","html_url":"https://github.com/martin-hahn","followers_url":"https://api.github.com/users/martin-hahn/followers","following_url":"https://api.github.com/users/martin-hahn/following{/other_user}","gists_url":"https://api.github.com/users/martin-hahn/gists{/gist_id}","starred_url":"https://api.github.com/users/martin-hahn/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/martin-hahn/subscriptions","organizations_url":"https://api.github.com/users/martin-hahn/orgs","repos_url":"https://api.github.com/users/martin-hahn/repos","events_url":"https://api.github.com/users/martin-hahn/events{/privacy}","received_events_url":"https://api.github.com/users/martin-hahn/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":15,"created_at":"2016-11-03T16:28:57Z","updated_at":"2016-11-03T18:32:15Z","closed_at":null,"body":"The runtime of the exponential is extremely slow compared to other floating point values:\r\n\r\n`import numpy as np`\r\n `x = np.repeat(-8.3266726846886721e-16, 1e5)`\r\n `np.exp(x)` \r\n `x = np.repeat(-2.7755575615628909e-16, 1e5)`\r\n `np.exp(x)`\r\n\r\nThe used numpy version is 1.11.0\r\n\r\n"},"comment":{"url":"https://api.github.com/repos/numpy/numpy/issues/comments/258233715","html_url":"https://github.com/numpy/numpy/issues/8233#issuecomment-258233715","issue_url":"https://api.github.com/repos/numpy/numpy/issues/8233","id":258233715,"user":{"login":"juliantaylor","id":542663,"avatar_url":"https://avatars.githubusercontent.com/u/542663?v=3","gravatar_id":"","url":"https://api.github.com/users/juliantaylor","html_url":"https://github.com/juliantaylor","followers_url":"https://api.github.com/users/juliantaylor/followers","following_url":"https://api.github.com/users/juliantaylor/following{/other_user}","gists_url":"https://api.github.com/users/juliantaylor/gists{/gist_id}","starred_url":"https://api.github.com/users/juliantaylor/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/juliantaylor/subscriptions","organizations_url":"https://api.github.com/users/juliantaylor/orgs","repos_url":"https://api.github.com/users/juliantaylor/repos","events_url":"https://api.github.com/users/juliantaylor/events{/privacy}","received_events_url":"https://api.github.com/users/juliantaylor/received_events","type":"User","site_admin":false},"created_at":"2016-11-03T18:32:15Z","updated_at":"2016-11-03T18:32:15Z","body":"this is not surprising, this number is small enough that the math library needs to fall back to multiprecision math to give a result compliant with the C standard."}}
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