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[Snyk] Upgrade @prettier/plugin-xml from 0.13.1 to 1.2.0 #4

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Snyk has created this PR to upgrade @prettier/plugin-xml from 0.13.1 to 1.2.0.

ℹ️ Keep your dependencies up-to-date. This makes it easier to fix existing vulnerabilities and to more quickly identify and fix newly disclosed vulnerabilities when they affect your project.


Warning: This is a major version upgrade, and may be a breaking change.

  • The recommended version is 5 versions ahead of your current version.
  • The recommended version was released a month ago, on 2021-12-23.

The recommended version fixes:

Severity Issue PriorityScore (*) Exploit Maturity
Regular Expression Denial of Service (ReDoS)
SNYK-JS-ANSIREGEX-1583908
482/1000
Why? Proof of Concept exploit, CVSS 7.5
Proof of Concept

(*) Note that the real score may have changed since the PR was raised.

Release notes
Package name: @prettier/plugin-xml from @prettier/plugin-xml GitHub release notes
Commit messages
Package name: @prettier/plugin-xml

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Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open upgrade PRs.

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@pull-request-quantifier-deprecated

This PR has 2 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!


Quantification details

Label      : Extra Small
Size       : +1 -1
Percentile : 0.8%

Total files changed: 1

Change summary by file extension:
.json : +1 -1

Change counts above are quantified counts, based on the PullRequestQuantifier customizations.

Why proper sizing of changes matters

Optimal pull request sizes drive a better predictable PR flow as they strike a
balance between between PR complexity and PR review overhead. PRs within the
optimal size (typical small, or medium sized PRs) mean:

  • Fast and predictable releases to production:
    • Optimal size changes are more likely to be reviewed faster with fewer
      iterations.
    • Similarity in low PR complexity drives similar review times.
  • Review quality is likely higher as complexity is lower:
    • Bugs are more likely to be detected.
    • Code inconsistencies are more likely to be detetcted.
  • Knowledge sharing is improved within the participants:
    • Small portions can be assimilated better.
  • Better engineering practices are exercised:
    • Solving big problems by dividing them in well contained, smaller problems.
    • Exercising separation of concerns within the code changes.

What can I do to optimize my changes

  • Use the PullRequestQuantifier to quantify your PR accurately
    • Create a context profile for your repo using the context generator
    • Exclude files that are not necessary to be reviewed or do not increase the review complexity. Example: Autogenerated code, docs, project IDE setting files, binaries, etc. Check out the Excluded section from your prquantifier.yaml context profile.
    • Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your prquantifier.yaml context profile.
    • Only use the labels that matter to you, see context specification to customize your prquantifier.yaml context profile.
  • Change your engineering behaviors
    • For PRs that fall outside of the desired spectrum, review the details and check if:
      • Your PR could be split in smaller, self-contained PRs instead
      • Your PR only solves one particular issue. (For example, don't refactor and code new features in the same PR).

How to interpret the change counts in git diff output

  • One line was added: +1 -0
  • One line was deleted: +0 -1
  • One line was modified: +1 -1 (git diff doesn't know about modified, it will
    interpret that line like one addition plus one deletion)
  • Change percentiles: Change characteristics (addition, deletion, modification)
    of this PR in relation to all other PRs within the repository.


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