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- Should we cache some small properties? · 4 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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553834279 | https://github.com/pydata/xarray/issues/3514#issuecomment-553834279 | https://api.github.com/repos/pydata/xarray/issues/3514 | MDEyOklzc3VlQ29tbWVudDU1MzgzNDI3OQ== | crusaderky 6213168 | 2019-11-14T10:52:13Z | 2019-11-14T10:52:13Z | MEMBER |
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Should we cache some small properties? 521754870 | |
553832745 | https://github.com/pydata/xarray/issues/3514#issuecomment-553832745 | https://api.github.com/repos/pydata/xarray/issues/3514 | MDEyOklzc3VlQ29tbWVudDU1MzgzMjc0NQ== | crusaderky 6213168 | 2019-11-14T10:47:43Z | 2019-11-14T10:47:43Z | MEMBER | I prefer max-sixty could you post your benchmark where you measure 150us? I tried caching that property with @cache_readonly and I only get a boost of 7us. ```python import xarray ds = xarray.Dataset({'d': ('x', [1, 2]), 'x': [10, 20]}) ds ds.to_netcdf("foo.nc") ds.close() ds = xarray.open_dataset("foo.nc") %timeit ds.isel(x=[0])
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Should we cache some small properties? 521754870 | |
553815808 | https://github.com/pydata/xarray/issues/3514#issuecomment-553815808 | https://api.github.com/repos/pydata/xarray/issues/3514 | MDEyOklzc3VlQ29tbWVudDU1MzgxNTgwOA== | crusaderky 6213168 | 2019-11-14T10:02:57Z | 2019-11-14T10:02:57Z | MEMBER | @max-sixty afraid so. But as I said it should be straightforward to use a variant that instead of |
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Should we cache some small properties? 521754870 | |
553100094 | https://github.com/pydata/xarray/issues/3514#issuecomment-553100094 | https://api.github.com/repos/pydata/xarray/issues/3514 | MDEyOklzc3VlQ29tbWVudDU1MzEwMDA5NA== | crusaderky 6213168 | 2019-11-12T20:28:45Z | 2019-11-12T20:28:45Z | MEMBER | By reading the implementation of cachedproperty, it needs a |
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Should we cache some small properties? 521754870 |
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