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id ▼ node_id number state locked title user body created_at updated_at closed_at merged_at merge_commit_sha assignee milestone draft head base author_association auto_merge repo url merged_by
619901306 MDExOlB1bGxSZXF1ZXN0NjE5OTAxMzA2 5201 closed 0 Fix lag in Jupyter caused by CSS in `_repr_html_` SimonHeybrock 12912489 ## What The CSS used by `_repr_html_` (for displaying objects in Jupyter) placed font colors in `:root` as CSS custom properties. This seems to cause lag in notebooks with more than a couple of dozens of cells when running a cell that displays outputs. We observed this on Chrome and Firefox, so it is probably not browser-specific. ## To reproduce - In a new notebook, create a simple array: ```python import xarray as xr import numpy as np data = np.random.rand(4) a = xr.DataArray(data, coords=[np.arange(4)], dims=['x']) ``` - From a second cell, display `a`: ```python a ``` This is probably fast with no noticable lag. - Add 50-100 more cells. They CAN be empty. Run the second cell again. You may notice a small lag before the array is displayed, which can exceed 1 second in some cases (depending on number of cells in the notebook, and probably the type of hardware the browser is running on, it is clearly visible on my 2015 Macbook Pro). - Probably other UI interactions such as switching tabs are also affected, but there the effect is not entirely clear. ## Fix - Set CSS custom properties not in `:root` but the top-level class `xr-wrap`. - TODO: I think the `vscode-dark` settings also may need to change, but my understanding of CSS is too limited. Can someone suggest how to fix this or take care of it? ## Discussion Interestingly we ran into this problem independently of xarray: While `scipp` borrowed an early draft of `xarrays`'s `_repr_html_` implementation (thanks!), this was *before* the color configs were placed into `:root` --- we just happened to add such a color config independently. Since this was a recent change we managed to find the culprit yesterday (https://github.com/scipp/scipp/pull/1847). And then it occurred to me to check whether xarray has the same problem... So this makes me think that *other* projects that define `_repr_html_` may well suffer from the same problem. Can we do anything to spread the word, or better, could there be a way to… 2021-04-21T06:46:28Z 2023-03-28T04:21:43Z 2023-03-28T04:21:43Z   7377a1b91be0d91078ae05f0a6bb7132e213f219     0 c1d75ab0c7cb99227e17f63e15b5b043661912c7 d1e4164f3961d7bbb3eb79037e96cae14f7182f8 NONE   xarray 13221727 https://github.com/pydata/xarray/pull/5201  

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CREATE TABLE [pull_requests] (
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [number] INTEGER,
   [state] TEXT,
   [locked] INTEGER,
   [title] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [body] TEXT,
   [created_at] TEXT,
   [updated_at] TEXT,
   [closed_at] TEXT,
   [merged_at] TEXT,
   [merge_commit_sha] TEXT,
   [assignee] INTEGER REFERENCES [users]([id]),
   [milestone] INTEGER REFERENCES [milestones]([id]),
   [draft] INTEGER,
   [head] TEXT,
   [base] TEXT,
   [author_association] TEXT,
   [auto_merge] TEXT,
   [repo] INTEGER REFERENCES [repos]([id]),
   [url] TEXT,
   [merged_by] INTEGER REFERENCES [users]([id])
);
CREATE INDEX [idx_pull_requests_merged_by]
    ON [pull_requests] ([merged_by]);
CREATE INDEX [idx_pull_requests_repo]
    ON [pull_requests] ([repo]);
CREATE INDEX [idx_pull_requests_milestone]
    ON [pull_requests] ([milestone]);
CREATE INDEX [idx_pull_requests_assignee]
    ON [pull_requests] ([assignee]);
CREATE INDEX [idx_pull_requests_user]
    ON [pull_requests] ([user]);