Separate delayed constraints into slow and fast collections #12
Conversation
This file contains 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
added 5 commits
August 1, 2017 13:48
The slow part is for CF-related constraints like long-running value parsers. Also, the "fast" constraints and other problems are reported first via a new checkpoint call to the problems collector. The complete list of problems are then reported afterwards at the end of the collection, like before.
Conflicts: headless-services/commons/commons-util/src/main/java/org/springframework/ide/vscode/commons/util/EnumValueParser.java
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Outdated suggestions cannot be applied.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.
The slow part is for CF-related constraints like long-running value
parsers. Also, the "fast" constraints and other problems are reported
first via a new checkpoint call to the problems collector. The complete
list of problems are then reported afterwards at the end of the
collection, like before.