PathOfBuildingCommunity / PathOfBuildingCommunity/PathOfBuilding
inaccurate uptime% of warcries with exerted attacks.
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Descrizione
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
No response
Guida per i contributori
Apri la guida per i contributori
Come iniziare
- Leggi tutta la issue e poi la guida ai contributi del progetto.
- Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
- Fai un fork del repository e lavora su un branch.
- Apri una pull request che faccia riferimento al numero della issue.
Direzione di ricerca
Inizia dal percorso di calcolo dietro al riquadro “Exerting Warcries” della scheda di calcolo e riproduci lo scenario segnalato con tre warcry, usando un warcry e una slam skill. Verifica il calcolo dell’uptime rispetto agli input segnalati per cooldown, cast-time, exerted-attack e attack-rate, inclusi più warcry attivi; il lavoro è completo quando l’uptime visualizzato corrisponde al timing previsto nel gioco.
Scritto dal modello di indicizzazione a partire dal testo della issue.
Valutazione
- Stack tecnologico
- lua
- Ambito
- game-dev
- Tipo di issue
- Bug
- Difficoltà
- 3/5
- Tempo stimato
- 1-2 giorni
- Stato di attività
- Ferma
- Chiarezza
- Abbastanza chiara
- Idoneità per principianti
- 42/100