Bump Verify.Xunit and xunit.extensibility.core

[dependabot]

Bumps Verify.Xunit and xunit.extensibility.core. These dependencies needed to be updated together.
Updates Verify.Xunit from 17.2.1 to 23.1.0

Release notes

Sourced from Verify.Xunit's releases.

21.0.0

• Drop unsupported frameworks

20.8.1

As part of this release we had 6 commits which resulted in 1 issue being closed.

Bug

• [#969](VerifyTests/Verify#969) System.PlatformNotSupportedException : System.Management currently is only supported for Windows desktop applications.

20.8.0

As part of this release we had 9 commits which resulted in 1 issue being closed.

Feature

• [#967](VerifyTests/Verify#967) update EmptyFiles and DiffEngine

20.6.0

As part of this release we had 16 commits which resulted in 1 issue being closed.

Feature

• [#945](VerifyTests/Verify#945) expose GetNameForParameter

20.5.0

As part of this release we had 1 issue closed.

Improvement

• [#934](VerifyTests/Verify#934) update to DiffEngine v 12

20.4.0

As part of this release we had 26 commits which resulted in 2 issues being closed.

Bug

• [#920](VerifyTests/Verify#920) Remove parameter hashing from unsupported tfm

Feature

• [#922](VerifyTests/Verify#922) update to expecto 10

20.3.2

As part of this release we had 1 issue closed.

Feature

• [#913](VerifyTests/Verify#913) DiffEngine 11.4.1

20.3.0

... (truncated)

Commits

• See full diff in compare view

Updates xunit.extensibility.core from 2.4.1 to 2.6.6

Commits

• f03fe09 v2.6.6
• 280a0cb Update build to use .NET SDK 8 and C# 12 (#2863)
• fdf75ab #2334: Add assembly-level support for BeforeAfterTestAttribute (v2)
• ba06476 Add targetFramework for xunit.assert.nuspec
• 9db7d30 Test out additional target framework dependencies in .nuspec files
• 27e91e3 Bump up to 2.6.6-pre
• 7f82765 v2.6.5
• 98f19dd Updated tests (for analyzer exclusions)
• 298b1b1 #2854: Add constructors and AddRange for TheoryData<T>
• 36fe729 Bump up to v2.6.5-pre
• Additional commits viewable in compare view

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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:
.csproj : +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 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? 👍  :ok_hand:  :thumbsdown: (Email)
Customize PullRequestQuantifier for this repository.

[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:
.csproj : +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 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? 👍  :ok_hand:  :thumbsdown: (Email)
Customize PullRequestQuantifier for this repository.