Summary:
X-link: https://github.com/facebook/react-native/pull/47895
Pull Request resolved: https://github.com/facebook/yoga/pull/1750
These APIs were only added so that we could do TDD as we work on intrinsic sizing functionality. As of right now they do nothing. We are aiming on publishing a new version of Yoga soon so for the time being we are going to back these out so as not to confuse anyone with this new functionality. Ideally we get to a point where we have some temporary experimental header to stage these in but this is a bit time sensitive so just backing out for now
Changelog: [Internal]
Reviewed By: NickGerleman
Differential Revision: D66332307
fbshipit-source-id: 1d596964e0c893091c541988506e8b80fa6d1957
Summary:
Pull Request resolved: https://github.com/facebook/yoga/pull/1721
X-link: https://github.com/facebook/react-native/pull/46938
The private internals of how we store styles needed to change a bit to support 3 new keyword values. Right now the only other keyword that can be stored is `auto`. As a result there isn't much fancy logic to support storing this and its just stored as a specific type inside of `StyleValueHandle`. There are only 3 bits for types (8 values), so it is not sustainable to just stuff every keyword in there. So the change writes the keyword as a value with a new `keyword` `Type`.
I chose not to put `auto` in there even though it is a keyword since it is a hot path, I did not want to regress perf when I did not need to.
I also make a new `StyleSizeValue` class to store size values - so values for `width`, `height`, etc. This way these new keywords are kept specific to sizes and we will not be able to create, for example, a margin: `max-content`.
Changelog: [Internal]
Reviewed By: NickGerleman
Differential Revision: D63927512
fbshipit-source-id: 7285469d37ac4b05226183b56275c77f0c06996c
Summary:
X-link: https://github.com/facebook/react-native/pull/41939
Pull Request resolved: https://github.com/facebook/yoga/pull/1520
This code originates as `YGValueResolve`, used to compute a YGValue to a length in points, using a reference for 100%.
This moves it to `Style::Length`, so we can encapsulate parts of it (for style value functions), and make the API more cohesive now that we can do C++ style OOP with it.
Changelog: [Internal]
Reviewed By: joevilches
Differential Revision: D51796973
fbshipit-source-id: a7c359c7544f4bd2066a80d976dde67a0d16f1dd
Summary:
X-link: https://github.com/facebook/react-native/pull/41776
Pull Request resolved: https://github.com/facebook/yoga/pull/1492
# Summary
In preparation to replace `CompactValue`, this fully encapsulates it as an implementation detail of `yoga::Style`.
The internal API now always operates on `Style::Length`, converted to `YGValue` at the public API boundary.
In the next step, we can plug in a new representation within `Style`, which should enable 64 bit values, and lower memory usage.
# Test Plan
1. Existing tests (inc for style, invalidation, CompactValue) pass
2. Check that constexpr `yoga::isinf()` produces same assembly under Clang as `std::isinf()`
3. Fabric Android builds
4. Yoga benchmark does style reads
# Performance
Checking whether a style is defined, then reading after, is a hot path, and we are doubling any space style lengths take in the stack (but not long-term on the node). After a naive move, on one system, the Yoga benchmark creating, laying out, and destroying a tree, ran about 8-10% slower in the "Huge nested flex" example. We are converting in many more cases instead of doing undefined check, but operating on accessed style values no longer needs to do the conversion multiple times.
I changed the `CompactValue` conversion to YGValue/StyleLength path to check for undefined as the common case (since we always convert, instead of calling `isUndefined` directly on CompactValue. That seemed to get the difference down to ~5-6% when I was playing with it then. We can optimistically make some of this up with ValuePool giving better locality, and fix this more holistically if we reduce edge and value resolution.
On another machine where I tested this, the new revision went the opposite direction, and was about 5% faster, so this isn't really a cut and dry regression, but we see different characteristics than before.
# Changelog
[Internal]
Reviewed By: rozele
Differential Revision: D51775346
fbshipit-source-id: c618af41b4882b4a227c917fcad07375806faf78
