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id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
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299668148 | MDU6SXNzdWUyOTk2NjgxNDg= | 1938 | Hooks for XArray operations | hameerabbasi 2190658 | open | 0 | 53 | 2018-02-23T10:37:43Z | 2019-07-12T16:40:54Z | MEMBER | In hope of cleaner dask and sparse support (pydata/sparse#1), I wanted to suggest hooks for XArray operations. Something like the following: ``` try: import dask.array as da xarray.hooks.register('nansum', da.array, da.nansum) ... except ImportError: pass try: import sparse.SparseArray xarray.hooks.register('nansum', sparse.SparseArray, sparse.nansum) ... except ImportError: pass ``` Functions would work something like the following: (the register would fall back to Numpy if nothing is found)
I would argue that this should be in Numpy, but it's a huge project to put it there. |
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xarray 13221727 | issue | ||||||||
293272998 | MDU6SXNzdWUyOTMyNzI5OTg= | 1873 | Documentation is inaccessible via HTTPS | hameerabbasi 2190658 | closed | 0 | 12 | 2018-01-31T18:57:36Z | 2018-12-26T18:51:34Z | 2018-12-26T18:51:34Z | MEMBER | Looks like the link here gives an invalid certificate error. It seems the PyData domain incorrectly just forwards the HTTPS traffic to RTD, rather than tunneling and substituting its own certificate. |
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completed | xarray 13221727 | issue |
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