build(deps): bump github.com/shirou/gopsutil/v3 from 3.20.10 to 3.22.7

[dependabot]

Bumps github.com/shirou/gopsutil/v3 from 3.20.10 to 3.22.7.

Commits

• ed37dc2 Merge pull request #1335 from tklauser/drop-darwin-386
• 1499bf6 feat: drop darwin/i386 from README and Makefile
• 360136f Merge pull request #1333 from kyz/remove-iomainport
• e0400cc Use 0 as default mach port
• 190dfee Merge pull request #1334 from kyz/fix-darwin-pagesize
• c76712b host, process: delete darwin/386 code
• d962cf2 Use the page size that host_statistics() pages are measured in
• 55411f1 Replace IOMainPort/IOMasterPort() and kIOMainPortDefault/kIOMasterPortDefault...
• a1701dc Merge pull request #1330 from Lomanic/macos-ci-update
• ef5eaa8 Merge pull request #1328 from shirou/feature/check-file-contents
• Additional commits viewable in compare view

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[pull-request-quantifier-deprecated]

This PR has 50 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!

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Quantification details

Label      : Extra Small
Size       : +33 -17
Percentile : 20%

Total files changed: 2

Change summary by file extension:
.mod : +4 -4
.sum : +29 -13

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.

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[dependabot]

Superseded by #346.