{"action":"created","issue":{"url":"https://api.github.com/repos/eggplantbren/DNest4/issues/10","repository_url":"https://api.github.com/repos/eggplantbren/DNest4","labels_url":"https://api.github.com/repos/eggplantbren/DNest4/issues/10/labels{/name}","comments_url":"https://api.github.com/repos/eggplantbren/DNest4/issues/10/comments","events_url":"https://api.github.com/repos/eggplantbren/DNest4/issues/10/events","html_url":"https://github.com/eggplantbren/DNest4/issues/10","id":162241039,"number":10,"title":"getting nan in gaussian.py example","user":{"login":"timothydmorton","id":1895387,"avatar_url":"https://avatars.githubusercontent.com/u/1895387?v=3","gravatar_id":"","url":"https://api.github.com/users/timothydmorton","html_url":"https://github.com/timothydmorton","followers_url":"https://api.github.com/users/timothydmorton/followers","following_url":"https://api.github.com/users/timothydmorton/following{/other_user}","gists_url":"https://api.github.com/users/timothydmorton/gists{/gist_id}","starred_url":"https://api.github.com/users/timothydmorton/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/timothydmorton/subscriptions","organizations_url":"https://api.github.com/users/timothydmorton/orgs","repos_url":"https://api.github.com/users/timothydmorton/repos","events_url":"https://api.github.com/users/timothydmorton/events{/privacy}","received_events_url":"https://api.github.com/users/timothydmorton/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/eggplantbren/DNest4/labels/bug","name":"bug","color":"fc2929"}],"state":"open","locked":false,"assignee":{"login":"dfm","id":350282,"avatar_url":"https://avatars.githubusercontent.com/u/350282?v=3","gravatar_id":"","url":"https://api.github.com/users/dfm","html_url":"https://github.com/dfm","followers_url":"https://api.github.com/users/dfm/followers","following_url":"https://api.github.com/users/dfm/following{/other_user}","gists_url":"https://api.github.com/users/dfm/gists{/gist_id}","starred_url":"https://api.github.com/users/dfm/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dfm/subscriptions","organizations_url":"https://api.github.com/users/dfm/orgs","repos_url":"https://api.github.com/users/dfm/repos","events_url":"https://api.github.com/users/dfm/events{/privacy}","received_events_url":"https://api.github.com/users/dfm/received_events","type":"User","site_admin":false},"assignees":[{"login":"dfm","id":350282,"avatar_url":"https://avatars.githubusercontent.com/u/350282?v=3","gravatar_id":"","url":"https://api.github.com/users/dfm","html_url":"https://github.com/dfm","followers_url":"https://api.github.com/users/dfm/followers","following_url":"https://api.github.com/users/dfm/following{/other_user}","gists_url":"https://api.github.com/users/dfm/gists{/gist_id}","starred_url":"https://api.github.com/users/dfm/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dfm/subscriptions","organizations_url":"https://api.github.com/users/dfm/orgs","repos_url":"https://api.github.com/users/dfm/repos","events_url":"https://api.github.com/users/dfm/events{/privacy}","received_events_url":"https://api.github.com/users/dfm/received_events","type":"User","site_admin":false}],"milestone":null,"comments":2,"created_at":"2016-06-24T22:18:01Z","updated_at":"2016-06-24T22:33:08Z","closed_at":null,"body":"Hey folks-- Just tried to run the gaussian python example, and for everything past sample 60, log(Z) = nan.   \r\n\r\n```\r\n# Timothys-MacBook-Pro:gaussian tdm$ python gaussian.py \r\n# Seeding random number generators. First seed = 1234.\r\n# Generating 5 particles from the prior...done.\r\n# Creating level 1 with log likelihood = -21.2056127777.\r\n# Creating level 2 with log likelihood = -15.3685054541.\r\n# Creating level 3 with log likelihood = -11.7700107885.\r\n# Creating level 4 with log likelihood = -9.32051503195.\r\n# Creating level 5 with log likelihood = -7.78605572939.\r\n# Creating level 6 with log likelihood = -6.75872064936.\r\nSample 10: log(Z) = nan [exact log(Z) = -11.5129283315]\r\n# Creating level 7 with log likelihood = -6.0339250471.\r\n# Creating level 8 with log likelihood = -5.53167376151.\r\n# Creating level 9 with log likelihood = -5.21513935676.\r\n# Creating level 10 with log likelihood = -5.00255785472.\r\n# Creating level 11 with log likelihood = -4.86598501177.\r\nSample 20: log(Z) = -11.7090824614 [exact log(Z) = -11.5129283315]\r\n# Creating level 12 with log likelihood = -4.77161110429.\r\n# Creating level 13 with log likelihood = -4.70819909729.\r\n# Creating level 14 with log likelihood = -4.67341103414.\r\n# Creating level 15 with log likelihood = -4.6502281122.\r\nSample 30: log(Z) = nan [exact log(Z) = -11.5129283315]\r\n# Creating level 16 with log likelihood = -4.63258890385.\r\n# Creating level 17 with log likelihood = -4.62006698283.\r\n# Creating level 18 with log likelihood = -4.61211722021.\r\nSample 40: log(Z) = -11.6631834445 [exact log(Z) = -11.5129283315]\r\n# Creating level 19 with log likelihood = -4.60642900501.\r\n# Done creating levels.\r\nSample 50: log(Z) = -11.5682956298 [exact log(Z) = -11.5129283315]\r\nSample 60: log(Z) = nan [exact log(Z) = -11.5129283315]\r\nSample 70: log(Z) = nan [exact log(Z) = -11.5129283315]\r\nSample 80: log(Z) = nan [exact log(Z) = -11.5129283315]\r\nSample 90: log(Z) = nan [exact log(Z) = -11.5129283315]\r\n[etc...]\r\n```"},"comment":{"url":"https://api.github.com/repos/eggplantbren/DNest4/issues/comments/228478980","html_url":"https://github.com/eggplantbren/DNest4/issues/10#issuecomment-228478980","issue_url":"https://api.github.com/repos/eggplantbren/DNest4/issues/10","id":228478980,"user":{"login":"timothydmorton","id":1895387,"avatar_url":"https://avatars.githubusercontent.com/u/1895387?v=3","gravatar_id":"","url":"https://api.github.com/users/timothydmorton","html_url":"https://github.com/timothydmorton","followers_url":"https://api.github.com/users/timothydmorton/followers","following_url":"https://api.github.com/users/timothydmorton/following{/other_user}","gists_url":"https://api.github.com/users/timothydmorton/gists{/gist_id}","starred_url":"https://api.github.com/users/timothydmorton/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/timothydmorton/subscriptions","organizations_url":"https://api.github.com/users/timothydmorton/orgs","repos_url":"https://api.github.com/users/timothydmorton/repos","events_url":"https://api.github.com/users/timothydmorton/events{/privacy}","received_events_url":"https://api.github.com/users/timothydmorton/received_events","type":"User","site_admin":false},"created_at":"2016-06-24T22:33:08Z","updated_at":"2016-06-24T22:33:08Z","body":"Yeah, I just cloned the repo, using numpy v. 1.10.0.\r\n\r\nfiles are [here](http://www.astro.princeton.edu/~tdm/dnest_test/)."}}
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