Bump Markdig.Signed from 0.32.0 to 0.33.0

[dependabot]

Bumps Markdig.Signed from 0.32.0 to 0.33.0.

Release notes

Sourced from Markdig.Signed's releases.

0.33.0

Changes

🐛 Bug Fixes

• Fix source span calculation (PR #733) by @​zickb

🧰 Misc

• Better literal delimiter content string slice (PR #736) by @​zickb

Full Changelog: 0.32.0...0.33.0

Published with dotnet-releaser

Commits

• 7d40bc1 Merge pull request #736 from zickb/better_literal_delimiter_content_string_slice
• dba94a2 Add documentation for the new constructor.
• 6d75eed Don't break external users of the public constructor
• ccb75fd Merge branch 'master' into better_literal_delimiter_content_string_slice
• 06eb6ba Better content string slice of delimiter literals:
• f15e9f0 Merge pull request #733 from zickb/fix_source_span_calculation
• a70ca63 Fix source span of paragraphs in table cells and cleanup InlineProcessor
• d26822b fix inline source spans calculation
• See full diff 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!

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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:

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    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
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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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[daxian-dbw]

LGTM