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Revert "Remove ๐Ÿงน HackAndSlash3"

Open sonohoshi opened this issue 1 year ago โ€ข 1 comments

Reverts planetarium/lib9c#2461

HAS ์ž์ฒด๋Š” ์ƒˆ ์›”๋“œ๊ฐ€ ์ค‘๊ฐ„์— ์ถ”๊ฐ€๋ผ๋„ ์ •์ƒ์ ์œผ๋กœ ํ”Œ๋ ˆ์ด ํ•  ์ˆ˜ ์žˆ์–ด์„œ HAS ์•ก์…˜ ์ฝ”๋“œ๋Š” ๋ฆฌ๋ฒ„ํŠธํ•˜๊ณ , ์‹œ๋‚˜๋ฆฌ์˜ค ํ…Œ์ŠคํŠธ๋ฅผ ๊ณ ์น˜๊ธฐ๋กœ ๋‹ค์‹œ ์ด์•ผ๊ธฐํ–ˆ์Šต๋‹ˆ๋‹ค.

2461๋ฒˆ PR์„ ๋ฆฌ๋ฒ„ํŠธํ•˜๊ณ  ์‹œ๋‚˜๋ฆฌ์˜ค ํ…Œ์ŠคํŠธ๋ฅผ ๊ณ ์ณ์„œ ๋จธ์ง€ํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•ฉ๋‹ˆ๋‹ค

sonohoshi avatar Mar 13 '24 10:03 sonohoshi

This PR has 257 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!


Quantification details

Label      : Large
Size       : +226 -31
Percentile : 65.7%

Total files changed: 3

Change summary by file extension:
.cs : +226 -31

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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