Summary:
X-link: https://github.com/facebook/litho/pull/976
Pull Request resolved: https://github.com/facebook/yoga/pull/1586
X-link: https://github.com/facebook/react-native/pull/43299
Add the React Clang Tidy config to Yoga, run the auto fixes, and make some manual mechanical tweaks.
Notably, the automatic changes to the infra for generating a Yoga tree from JSON capture make it 70% faster.
Before:
{F1463947076}
After:
{F1463946802}
This also cleans up all the no-op shallow const parameters in headers.
{F1463943386}
Not all checks are available in all environments, but that is okay, as Clang Tidy will gracefully skip them.
Changelog: [Internal]
Reviewed By: sammy-SC
Differential Revision: D54461054
fbshipit-source-id: dbd2d9ce51afd3174d1f2c6d439fa7d08baff46f
Summary:
Pull Request resolved: https://github.com/facebook/yoga/pull/1581
This is better than just trusting the order of the measure func call. Now each measure function I/O is associated with a node in the JSON.
Reviewed By: NickGerleman
Differential Revision: D53776790
fbshipit-source-id: 793cf2d9cbf6f663d24848af0af30aa297614eea
Summary:
In addition to all the state that gets set on the node that is easy to serialize - like floats, enums, bools, etc - we also need to serialize measure functions. This is because these functions take a nontrivial amount of time up during layout and we should capture that. Also, they are important to the ability to truly replay layout as it was captured as the results of the measure functions determine many of the steps the layout algorithm takes.
Capturing this is rather tricky however, but I think I found a solution that is relatively simple and non-error prone. Essentially, since we are capturing the entire tree and virtually every input that goes into the flexbox algorithm, we *should* be able to replay layout exactly as it was captured. This means that the order in which measure functions are called *should* be the same. If this is the case, then all we need to do to capture the measure functions is store their input, output, and duration in a big array. During deserialization we just keep track of an index and use that to determine which measure function we should call. That is the premise behind what happens in this diff. In theory the algorithm could change and the capture would be wrong but it is easy enough to recapture again. Additionally we need to dirty the tree so that we get rid of caching which might omit some measure func calls
In order to capture you need to insert a method exposed by CaptureTree.h into the client measure func, which is kind of annoying but not that bad. In future diffs I will put a macro in place to make this even easier.
I also add our first capture! Which is of a large react native desktop app
Reviewed By: NickGerleman
Differential Revision: D53581121
fbshipit-source-id: 876a230208d67f0ecf76844a4f1b80048353aae2
Summary:
Pull Request resolved: https://github.com/facebook/yoga/pull/1575
If we want to replay layouts for benchmark, we should also capture the inputs. This diff does that as well as changing the API in CaptureTree.h. We now expose YGCalculateLayoutWithCapture designed to be a drop-in replacement for YGCalculateLayout. This allows us to have a bit more control on the order of everything and lets us capture measure functions in the next diff much easier.
Reviewed By: NickGerleman
Differential Revision: D53444261
fbshipit-source-id: 616e39153c21e7b472911502b6a717e92c88a4d1
