{"action":"created","issue":{"url":"https://api.github.com/repos/pyFFTW/pyFFTW/issues/154","repository_url":"https://api.github.com/repos/pyFFTW/pyFFTW","labels_url":"https://api.github.com/repos/pyFFTW/pyFFTW/issues/154/labels{/name}","comments_url":"https://api.github.com/repos/pyFFTW/pyFFTW/issues/154/comments","events_url":"https://api.github.com/repos/pyFFTW/pyFFTW/issues/154/events","html_url":"https://github.com/pyFFTW/pyFFTW/pull/154","id":218072982,"number":154,"title":"WIP: Provide a Dask interface to pyFFTW's 1-D FFTs","user":{"login":"jakirkham","id":3019665,"avatar_url":"https://avatars2.githubusercontent.com/u/3019665?v=3","gravatar_id":"","url":"https://api.github.com/users/jakirkham","html_url":"https://github.com/jakirkham","followers_url":"https://api.github.com/users/jakirkham/followers","following_url":"https://api.github.com/users/jakirkham/following{/other_user}","gists_url":"https://api.github.com/users/jakirkham/gists{/gist_id}","starred_url":"https://api.github.com/users/jakirkham/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jakirkham/subscriptions","organizations_url":"https://api.github.com/users/jakirkham/orgs","repos_url":"https://api.github.com/users/jakirkham/repos","events_url":"https://api.github.com/users/jakirkham/events{/privacy}","received_events_url":"https://api.github.com/users/jakirkham/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":10,"created_at":"2017-03-30T03:43:46Z","updated_at":"2017-03-30T19:35:05Z","closed_at":null,"pull_request":{"url":"https://api.github.com/repos/pyFFTW/pyFFTW/pulls/154","html_url":"https://github.com/pyFFTW/pyFFTW/pull/154","diff_url":"https://github.com/pyFFTW/pyFFTW/pull/154.diff","patch_url":"https://github.com/pyFFTW/pyFFTW/pull/154.patch"},"body":"Fixes https://github.com/pyFFTW/pyFFTW/issues/151\r\n\r\nWrap the existing NumPy interface so that it will integrate nicely with Dask. As Dask currently only supports 1-D FFT functions, simply wrap and provide those for now. In the future Dask will support 2-D and N-D FFT function. This will be updated at that time to provide those too. Also add borrow tests from the NumPy interface to use with the Dask interface. Update it to use the Dask interface, work with Dask Arrays, and drop any tests that deal with mutation or 2-D/N-D FFT functions. Further autdoc all functions in the interface so as to include them in the documentation.\r\n\r\nNote: The current release of Dask only supports 1-D FFT functions. However, 2-D and N-D FFT functions are supported in `master` and should be available in the next release. We can update this interface as soon as they are available."},"comment":{"url":"https://api.github.com/repos/pyFFTW/pyFFTW/issues/comments/290520876","html_url":"https://github.com/pyFFTW/pyFFTW/pull/154#issuecomment-290520876","issue_url":"https://api.github.com/repos/pyFFTW/pyFFTW/issues/154","id":290520876,"user":{"login":"hgomersall","id":701883,"avatar_url":"https://avatars1.githubusercontent.com/u/701883?v=3","gravatar_id":"","url":"https://api.github.com/users/hgomersall","html_url":"https://github.com/hgomersall","followers_url":"https://api.github.com/users/hgomersall/followers","following_url":"https://api.github.com/users/hgomersall/following{/other_user}","gists_url":"https://api.github.com/users/hgomersall/gists{/gist_id}","starred_url":"https://api.github.com/users/hgomersall/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/hgomersall/subscriptions","organizations_url":"https://api.github.com/users/hgomersall/orgs","repos_url":"https://api.github.com/users/hgomersall/repos","events_url":"https://api.github.com/users/hgomersall/events{/privacy}","received_events_url":"https://api.github.com/users/hgomersall/received_events","type":"User","site_admin":false},"created_at":"2017-03-30T19:35:05Z","updated_at":"2017-03-30T19:35:05Z","body":"The pertinent docs are [here](https://hgomersall.github.io/pyFFTW/pyfftw/interfaces/interfaces.html#module-pyfftw.interfaces.cache) and the code is [here](https://github.com/pyFFTW/pyFFTW/blob/master/pyfftw/interfaces/cache.py).\r\n\r\nThanks for your work on this. I appreciate all your contributions."}}
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