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1 row where author_association = "NONE", issue = 1076265104 and user = 61977 sorted by updated_at descending

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user 1

  • seberg · 1 ✖

issue 1

  • Weighted quantile · 1 ✖

author_association 1

  • NONE · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1022419678 https://github.com/pydata/xarray/pull/6059#issuecomment-1022419678 https://api.github.com/repos/pydata/xarray/issues/6059 IC_kwDOAMm_X8488OLe seberg 61977 2022-01-26T17:22:40Z 2022-01-26T17:49:18Z NONE

We discussed this in the Triage meeting a bit, and settled on "we want this". We are OK with the sorting approach and limiting e.g. only to aweights, that may need settling 100%, but generally using aweights (and maybe fweights) sems good.

EDIT: Oops, meant to post on the NumPy PR, but OK here as well, I guess ;)

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  Weighted quantile 1076265104

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   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
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   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
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CREATE INDEX [idx_issue_comments_issue]
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CREATE INDEX [idx_issue_comments_user]
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