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  • dcherian · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
891179723 https://github.com/pydata/xarray/pull/5661#issuecomment-891179723 https://api.github.com/repos/pydata/xarray/issues/5661 IC_kwDOAMm_X841HlLL dcherian 2448579 2021-08-02T16:56:36Z 2021-08-02T16:56:36Z MEMBER

3x is good! I reduced the size so it would run faster, we can't run a 15s benchmark every time we benchmark an older commit...

Can you add a whats-new note please?

 
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   Speed up _mapping_repr 957432870
891156817 https://github.com/pydata/xarray/pull/5661#issuecomment-891156817 https://api.github.com/repos/pydata/xarray/issues/5661 IC_kwDOAMm_X841HflR dcherian 2448579 2021-08-02T16:20:06Z 2021-08-02T16:20:06Z MEMBER

I pushed a benchmark...

this branch: [ 31.25%] ··· repr.Repr.time_repr 14.8±0.3ms [ 37.50%] ··· repr.Repr.time_repr_html 164±1ms

main: [ 31.25%] ··· repr.Repr.time_repr 41.6±0.5ms [ 37.50%] ··· repr.Repr.time_repr_html 188±1ms

 
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   Speed up _mapping_repr 957432870
891137073 https://github.com/pydata/xarray/pull/5661#issuecomment-891137073 https://api.github.com/repos/pydata/xarray/issues/5661 IC_kwDOAMm_X841Hawx dcherian 2448579 2021-08-02T15:54:15Z 2021-08-02T15:54:15Z MEMBER

I haven't had time to understand why it's so dramatic

The old way creates all dataarrays (2000 in this case). This version creates first_rows+last_rows dataarrays. Very nice idea @Illviljan !

 
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   Speed up _mapping_repr 957432870

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