Merged
Conversation
This added a fair bit of complexity, and notable made the Phase classes dynamically generated. However, by doing this, we no longer include "process the token using the rules for" phases in the debug log.
Member
Author
|
When looking at the PR without whitespace changes, it's not that complicated. All tests pass, no performance regression. I think this should go in as is. This will help us optimize, whether with Cython or with mypyc, as the result is a plain old |
jgraham
approved these changes
Mar 10, 2023
| @@ -204,6 +191,9 @@ def mainLoop(self): | |||
| DoctypeToken = tokenTypes["Doctype"] | |||
| ParseErrorToken = tokenTypes["ParseError"] | |||
|
|
|||
| type_names = {value: key for key, value in tokenTypes.items()} | |||
Member
There was a problem hiding this comment.
I suppose one could skip computing this unless debug is set, but probably not worthwhile.
Closed
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
This is #272 but rebased on top of current master.
I made cursory benchmarking of this and I see no difference between master and this branch.
Each timing is geomean from 30 runs. This is executed on Homebrew builds of all Pythons above on an M1 Max Macbook Pro. The slow result from pypy3 (v7.3.9) is because it's running in Rosetta (x86-64 emulation). The important thing is to compare the time on the PR with the time on master.