PathOfBuildingCommunity / PathOfBuildingCommunity/PathOfBuilding
inaccurate uptime% of warcries with exerted attacks.
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Beschreibung
Check version
- I'm running the latest version of Path of Building and I've verified this by checking the changelog
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- I've checked for duplicate issues by using the search function of the issue tracker
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- 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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Beitragsleitfaden
Erste Schritte
- Lies das ganze Issue und danach den Beitragsleitfaden des Projekts.
- Schreib ins Issue, dass du es übernimmst — das erspart doppelte Arbeit.
- Forke das Repository und arbeite in einem Branch.
- Öffne einen Pull Request, der die Issue-Nummer nennt.
Rechercherichtung
Beginne im Berechnungspfad hinter dem Feld „Exerting Warcries“ des Berechnungstabs und reproduziere das gemeldete Szenario mit drei Warcries mit einem Warcry und einer Slam-Skill. Überprüfe die Uptime-Berechnung anhand der gemeldeten Eingaben für Cooldown, Cast-Time, Exerted-Attack und Attack-Rate, einschließlich mehrerer aktiver Warcries; fertig ist die Aufgabe, wenn die angezeigte Uptime mit dem vorgesehenen Timing im Spiel übereinstimmt.
Vom Indexierungsmodell aus dem Issue-Text verfasst.
Bewertung
- Tech-Stack
- lua
- Bereich
- game-dev
- Issue-Typ
- Bug
- Schwierigkeit
- 3/5
- Geschätzter Aufwand
- 1-2 Tage
- Aktivitätsstatus
- Veraltet
- Klarheit
- Größtenteils klar
- Anfängerfreundlichkeit
- 42/100