{"action":"created","issue":{"url":"https://api.github.com/repos/SciSharp/NumSharp/issues/123","repository_url":"https://api.github.com/repos/SciSharp/NumSharp","labels_url":"https://api.github.com/repos/SciSharp/NumSharp/issues/123/labels{/name}","comments_url":"https://api.github.com/repos/SciSharp/NumSharp/issues/123/comments","events_url":"https://api.github.com/repos/SciSharp/NumSharp/issues/123/events","html_url":"https://github.com/SciSharp/NumSharp/issues/123","id":382620959,"node_id":"MDU6SXNzdWUzODI2MjA5NTk=","number":123,"title":"Support numpy.dtype","user":{"login":"Oceania2018","id":1705364,"node_id":"MDQ6VXNlcjE3MDUzNjQ=","avatar_url":"https://avatars2.githubusercontent.com/u/1705364?v=4","gravatar_id":"","url":"https://api.github.com/users/Oceania2018","html_url":"https://github.com/Oceania2018","followers_url":"https://api.github.com/users/Oceania2018/followers","following_url":"https://api.github.com/users/Oceania2018/following{/other_user}","gists_url":"https://api.github.com/users/Oceania2018/gists{/gist_id}","starred_url":"https://api.github.com/users/Oceania2018/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Oceania2018/subscriptions","organizations_url":"https://api.github.com/users/Oceania2018/orgs","repos_url":"https://api.github.com/users/Oceania2018/repos","events_url":"https://api.github.com/users/Oceania2018/events{/privacy}","received_events_url":"https://api.github.com/users/Oceania2018/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":{"login":"Oceania2018","id":1705364,"node_id":"MDQ6VXNlcjE3MDUzNjQ=","avatar_url":"https://avatars2.githubusercontent.com/u/1705364?v=4","gravatar_id":"","url":"https://api.github.com/users/Oceania2018","html_url":"https://github.com/Oceania2018","followers_url":"https://api.github.com/users/Oceania2018/followers","following_url":"https://api.github.com/users/Oceania2018/following{/other_user}","gists_url":"https://api.github.com/users/Oceania2018/gists{/gist_id}","starred_url":"https://api.github.com/users/Oceania2018/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Oceania2018/subscriptions","organizations_url":"https://api.github.com/users/Oceania2018/orgs","repos_url":"https://api.github.com/users/Oceania2018/repos","events_url":"https://api.github.com/users/Oceania2018/events{/privacy}","received_events_url":"https://api.github.com/users/Oceania2018/received_events","type":"User","site_admin":false},"assignees":[{"login":"Oceania2018","id":1705364,"node_id":"MDQ6VXNlcjE3MDUzNjQ=","avatar_url":"https://avatars2.githubusercontent.com/u/1705364?v=4","gravatar_id":"","url":"https://api.github.com/users/Oceania2018","html_url":"https://github.com/Oceania2018","followers_url":"https://api.github.com/users/Oceania2018/followers","following_url":"https://api.github.com/users/Oceania2018/following{/other_user}","gists_url":"https://api.github.com/users/Oceania2018/gists{/gist_id}","starred_url":"https://api.github.com/users/Oceania2018/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Oceania2018/subscriptions","organizations_url":"https://api.github.com/users/Oceania2018/orgs","repos_url":"https://api.github.com/users/Oceania2018/repos","events_url":"https://api.github.com/users/Oceania2018/events{/privacy}","received_events_url":"https://api.github.com/users/Oceania2018/received_events","type":"User","site_admin":false}],"milestone":null,"comments":26,"created_at":"2018-11-20T11:30:56Z","updated_at":"2018-11-21T19:13:27Z","closed_at":null,"author_association":"MEMBER","body":"We have to refactor the core `NDArray` class in order to support `numpy.dtype`.\r\nThe key change will be the internal array storage. I'm going to retire the generic type design after the v0.4 released.  Separating the internal storage will enhance the performance about 25%, and make the `NDArray` be a true `NumPy` in `.NET`. I've made some experiment, and seems it's feasible. The benchmark is also looking improved.\r\n\r\n![image](https://user-images.githubusercontent.com/1705364/48770767-1ad87900-ec85-11e8-8828-539f80d698af.png)\r\n\r\n@dotChris90 @fdncred @AoaAquarius What do you think of it? Comment please."},"comment":{"url":"https://api.github.com/repos/SciSharp/NumSharp/issues/comments/440779359","html_url":"https://github.com/SciSharp/NumSharp/issues/123#issuecomment-440779359","issue_url":"https://api.github.com/repos/SciSharp/NumSharp/issues/123","id":440779359,"node_id":"MDEyOklzc3VlQ29tbWVudDQ0MDc3OTM1OQ==","user":{"login":"Oceania2018","id":1705364,"node_id":"MDQ6VXNlcjE3MDUzNjQ=","avatar_url":"https://avatars2.githubusercontent.com/u/1705364?v=4","gravatar_id":"","url":"https://api.github.com/users/Oceania2018","html_url":"https://github.com/Oceania2018","followers_url":"https://api.github.com/users/Oceania2018/followers","following_url":"https://api.github.com/users/Oceania2018/following{/other_user}","gists_url":"https://api.github.com/users/Oceania2018/gists{/gist_id}","starred_url":"https://api.github.com/users/Oceania2018/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Oceania2018/subscriptions","organizations_url":"https://api.github.com/users/Oceania2018/orgs","repos_url":"https://api.github.com/users/Oceania2018/repos","events_url":"https://api.github.com/users/Oceania2018/events{/privacy}","received_events_url":"https://api.github.com/users/Oceania2018/received_events","type":"User","site_admin":false},"created_at":"2018-11-21T19:13:27Z","updated_at":"2018-11-21T19:13:27Z","author_association":"MEMBER","body":"@dotChris90 Totally agree with you. We will find the balance between design elegant and performance. Pull the cod check if you are OK with the new `NumPy` class. I've finished the `np.arange` and `np.reshape`."}}
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