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Substantially improves the last major known issue with the new inference
model's implementation: inferring effects of function expressions. I
knowingly used a really simple (dumb) approach in
InferFunctionExpressionAliasingEffects but it worked surprisingly well
on a ton of code. However, investigating during the sync I saw that we
the algorithm was literally running out of memory, or crashing from
arrays that exceeded the maximum capacity. We were accumluating data
flow in a way that could lead to lists of data flow captures compounding
on themselves and growing very large very quickly. Plus, we were
incorrectly recording some data flow, leading to cases where we reported
false positive "can't mutate frozen value" for example.
So I went back to the drawing board. InferMutationAliasingRanges already
builds up a data flow graph which it uses to figure out what values
would be affected by mutations of other values, and update mutable
ranges. Well, the key question that we really want to answer for
inferring a function expression's aliasing effects is which values
alias/capture where. Per the docs I wrote up, we only have to record
such aliasing _if they are observable via mutations_. So, lightbulb:
simulate mutations of the params, free variables, and return of the
function expression and see which params/free-vars would be affected!
That's what we do now, giving us precise information about which such
values alias/capture where. When the "into" is a param/context-var we
use Capture, iwhen the destination is the return we use Alias to be
conservative.
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[//]: # (BEGIN SAPLING FOOTER)
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* #33626
* #33625
* #33624
* __->__ #33584
Copy file name to clipboardExpand all lines: compiler/packages/babel-plugin-react-compiler/src/Inference/InferFunctionExpressionAliasingEffectsSignature.ts
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