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inaccurate uptime% of warcries with exerted attacks.
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説明
Check version
- I'm running the latest version of Path of Building and I've verified this by checking the changelog
Check for duplicates
- I've checked for duplicate issues by using the search function of the issue tracker
Check for support
- I've checked that the behaviour is supposed to be supported. If it isn't please open a feature request instead (Red text is a feature request).
What is the behaviour in-game?
For this scenario I have 3 warcries:
- Seismic cry (exert 7 attacks)
- Intimidating cry (exert 5 attacks)
- Rallying cry (exert 8 attacks)
all have a cooldown of 4.71s, and a cast time of 0.32s
I have an attack rate 1.73.
The average uptime should be (if using all 3 of those warcries): # of exerted attacks / attacks per second / (warcry cooldown - casttime of every warcry being used).
After all, I need to spend time for each warcry I am using instead of hitting and expending exert charges. (warcry cooldown also starts the moment you start casting it, see https://www.youtube.com/watch?v=OmSXKF8tgMI)
Technically, this should also cut into the attack rate of the character, it is after all casting warcries instead of attacking, of which how to effectively calculate I do not know.
What is the behaviour in Path of Building?
The above image shows that it currently adds the warcry casttime, instead of subtracting it. This causes the uptime to be a lot lower than it should be. Additionally, it should subtract all active warcries.
How to reproduce the issue
- add a warcry skill + slam skill
- go to calculation tab
- see the uptime calculation in 'Exerting Warcries' box be incorrect.
Character build code
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
Screenshots
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コントリビューションガイド
はじめの一歩
- issue を最後まで読み、次にプロジェクトのコントリビューションガイドを読みます。
- 着手することを issue にコメントします — 二人が同じ作業をするのを防げます。
- リポジトリをフォークし、ブランチを切って変更します。
- issue 番号を参照したプルリクエストを送ります。
調査の方向性
計算タブの「Exerting Warcries」ボックスの背後にある計算パスから始め、warcry と slam skill を使って、報告された 3 つの warcry のシナリオを再現します。複数のアクティブな warcry を含め、報告された cooldown、cast-time、exerted-attack、attack-rate の入力に対して uptime の計算を検証します。表示された uptime が意図されたゲーム内のタイミングと一致すれば完了です。
索引モデルが issue の本文から書いたものです。
評価
- 技術スタック
- lua
- 領域
- game-dev
- issue の種類
- バグ
- 難易度
- 3/5
- 見積もり時間
- 1〜2日
- 活発さ
- 停滞
- 明瞭さ
- おおむね明確
- 初心者へのやさしさ
- 42/100