🚀 Release 0.13.0

[greymistcube]

Comprehensive benchmark comparison:

0.12.0

Method	SetSize	WordSize	Mean	Error	StdDev	Allocated
DecodeList	10	10	16.33 ms	0.939 ms	1.005 ms	33.26 MB
DecodeDict	10	10	53.58 ms	3.509 ms	4.041 ms	73.69 MB
DecodeNestedList	10	10	163.18 ms	8.270 ms	9.524 ms	336.54 MB
DecodeNestedDict	10	10	574.93 ms	24.271 ms	27.951 ms	781.33 MB

0.13.0

Method	SetSize	WordSize	Mean	Error	StdDev	Allocated
DecodeList	10	10	12.36 ms	0.796 ms	0.852 ms	21.53 MB
DecodeDict	10	10	32.81 ms	2.064 ms	2.294 ms	39.92 MB
DecodeNestedList	10	10	124.06 ms	8.960 ms	9.959 ms	208.04 MB
DecodeNestedDict	10	10	355.73 ms	29.787 ms	31.872 ms	410.3 MB

[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:
.md : +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.

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