We don't need columns of divs to equally size themselves, so use easier layout techniques to make the list fit in the container. We have to take a hit with `height:100%`, but the hit is much more insignificant than confusing the layout engine.
The layout engine has a hard time with dynamically-but-statically-sized stuff like `width: 100%; display: flex;`, particularly when it is nested so badly. Overall this should improve performance for the app by not having to re-paint so often.
Fixes https://github.com/vector-im/riot-web/issues/14639
We were taking 0.2ms to handle the registration of a timer per event during startup, even before the app is visible to the user. These timers would be short-circuited too, leading to a bunch of wasted time.
0.2ms isn't a lot of time, but multiplied by thousands of events at startup it's pretty significant.
On my account this reduces the full page spinner time from ~50 seconds to just over 20 seconds.
This means we're abusing the AsyncStoreWithClient to get access to a lifecycle, but overall that seems like a minor crime compared to the time spend abusing the store's state as a map.
With thousands of rooms shown, we can save on average 743ms per preview. The new preview time is 0.12ms on average.
Fixes https://github.com/vector-im/riot-web/issues/14694
Instead of spending 10-1000ms in a function iterating over a whole lot of room events, we can use our cached state from the Notification State Store.
This commit sets up a structure that could be applied to communities in the TagPanel too, as that could probably use a similar optimization.
This reduces the updateStatusIndicator() time to just 4ms on average.
Changing the property on every render of the left panel (which is basically all the time) is super bad on the GPU and for our CPU. We should only do that when something changes.
Fixes https://github.com/vector-im/riot-web/issues/14475
Background: Sticky rooms are actually a pair of lies to the underlying algorithm as a combination of REMOVE_ROOM/NEW_ROOM calls so they don't get considered as needing to be sorted. When a room is added under the importance algorithm, it is expected that the category it is being added to will be re-sorted to account for the change, however we weren't doing that since we optimized the NewRoom path to be a splice operation.
