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Bump json5 from 1.0.1 to 1.0.2

Open dependabot[bot] opened this issue 2 years ago • 3 comments

Bumps json5 from 1.0.1 to 1.0.2.

Release notes

Sourced from json5's releases.

v1.0.2

  • Fix: Properties with the name __proto__ are added to objects and arrays. (#199) This also fixes a prototype pollution vulnerability reported by Jonathan Gregson! (#295). This has been backported to v1. (#298)
Changelog

Sourced from json5's changelog.

Unreleased [code, diff]

v2.2.3 [code, diff]

v2.2.2 [code, diff]

  • Fix: Properties with the name __proto__ are added to objects and arrays. (#199) This also fixes a prototype pollution vulnerability reported by Jonathan Gregson! (#295).

v2.2.1 [code, diff]

  • Fix: Removed dependence on minimist to patch CVE-2021-44906. (#266)

v2.2.0 [code, diff]

  • New: Accurate and documented TypeScript declarations are now included. There is no need to install @types/json5. (#236, #244)

v2.1.3 [code, diff]

  • Fix: An out of memory bug when parsing numbers has been fixed. (#228, #229)

v2.1.2 [code, diff]

... (truncated)

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dependabot[bot] avatar Jan 06 '23 11:01 dependabot[bot]

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This PR has 0 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!

Quantification details 

Label      : No Changes
Size       : +0 -0
Percentile : 0%

Total files changed: 1

Change summary by file extension:
.lock : +0 -0

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 detected.
  • 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.

Was this comment helpful? :thumbsup:  :ok_hand:  :thumbsdown: (Email) Customize PullRequestQuantifier for this repository.

pull-request-quantifier-deprecated[bot] avatar Jan 06 '23 11:01 pull-request-quantifier-deprecated[bot]

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