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Introduce Dispel skill #2435

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merged 25 commits into from
Mar 11, 2024
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@U-lis U-lis commented Mar 4, 2024

  • Add affected to SkillInfo to flag current buff/debuff is affected to target.
  • Update ProcessBuff function to add dispel effect.
  • AddBuff function now returns dispelList which is list of removed skill by dispel buff.

This PR resolves #2389

@U-lis U-lis added the enhancement New feature or request label Mar 4, 2024
@U-lis U-lis added this to the v160.0.0 milestone Mar 4, 2024
@U-lis U-lis self-assigned this Mar 4, 2024

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@U-lis U-lis marked this pull request as ready for review March 4, 2024 23:21

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@U-lis U-lis requested a review from boscohyun as a code owner March 4, 2024 23:21
@U-lis U-lis marked this pull request as draft March 4, 2024 23:26

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  • Knowledge sharing is improved within the participants:
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@U-lis U-lis marked this pull request as ready for review March 5, 2024 01:30
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U-lis commented Mar 5, 2024

리뷰 주안점

  1. Dispel 은 사용 시, 지속 시 양쪽에 효과가 있다. 두개의 효과가 각각 알맞은 타이밍에 계산되는지 확인 필요.
  2. Dispel 은 debuff 만 지워야 하고, buff 는 남겨야 한다. 기준은 SkillSheet 에 Debuff 로 되어 있는 것들.
    • deuff 를 찾기 위해 좀 복잡한 방법을 쓰고 있는데, 더 간결하게 할 수 있는 방법이 있을지?
  3. Arena 에서도 잘 작동하는지 확인 필요. (아레나 테스트를 만들어야 할지도)

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    • Exercising separation of concerns within the code changes.

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@U-lis U-lis requested a review from ipdae March 6, 2024 02:25

This PR has 475 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!


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Percentile : 82.5%

Total files changed: 19

Change summary by file extension:
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.Libplanet : +1 -1
.csv : +8 -3

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
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  • 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

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    • 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)
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This PR has 475 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!


Quantification details

Label      : Extra Large
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Percentile : 82.5%

Total files changed: 19

Change summary by file extension:
.cs : +401 -61
.Libplanet : +1 -1
.csv : +8 -3

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
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    • 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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      • 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

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@@ -173,4 +173,5 @@ _250001,속도 증가(전체),Normal,Buff,SpeedBuff,Ally,1,1 // 미구현
700007,집중,Normal,Buff,Focus,Self,1,15
700008,더블 어택,Normal,Attack,DoubleAttack,Enemy,2,15,true
700009,디버프 제거,Normal,Buff,Buff,Self,1,15
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기존 디버프제거는 Dispel 스킬카테고리로 같이 변경되어야할것같습니다~!
아니면 두개가 다른 스킬인건가요?

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네 제가 알기로는 두개가 다른걸겁니다.
슈님께 더블체크 해봐야 할지도 모르겠네요

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@NineSyu 디버프제거와 면역스킬은 스킬을 지우는 Dispel 기능을 사용하되 수치밸런스로 구분하는 스킬같아보이는데요 확인 부탁드립니다~!

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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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@U-lis U-lis requested a review from sonohoshi March 7, 2024 01:56
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LGTM

@U-lis U-lis merged commit 1c0eb23 into planetarium:feature/world-8 Mar 11, 2024
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