issue_comments: 368068500
This data as json
| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/1938#issuecomment-368068500 | https://api.github.com/repos/pydata/xarray/issues/1938 | 368068500 | MDEyOklzc3VlQ29tbWVudDM2ODA2ODUwMA== | 306380 | 2018-02-23T16:54:37Z | 2018-02-23T16:54:37Z | MEMBER | Import times on multipledispatch have improved thanks to work by @llllllllll . They could probably be further improved if people wanted to invest modest intellectual effort here. Costs scale with the number of type signatures on each operation. In blaze this was very high, well into the hundreds, in our case it would be, I think, more modest around 2-10. (also, historical note, multipledispatch predates my involvement in Blaze). When possible it would be useful to upstream these concerns to NumPy, even if we have to move faster than NumPy is able to support. |
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