PathOfBuildingCommunity / PathOfBuildingCommunity/PathOfBuilding

Pact of Beidat not applying extra chains to skill calculations

Aperta
#10,146 0 commenti 0 reazioni 0 assegnatari Vedi su GitHub

Nessuno ha ancora preso questa issue.

bug: calculation
Lingua principale
Lua
Stelle
5.4k
Fork
2.4k
Merge medio
1g 12h
PR unite (30g)
26

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 open and closed issues by using the search function of the issue tracker
Check for support
  • I've checked that the calculation is supposed to be supported. If it isn't please open a feature request instead (Red text is a feature request).
What platform are you running Path of Building on?

Windows

What is the value from the calculation in-game?

Pact of beidat is adding 6 extra chains when up in game. However, this is not applying in the calculations section of path of building

What is the value from the calculation in Path of Building?

https://i.imgur.com/4Fm3Ytr.png

The calculation is not adding an additional 6 chains, undercutting the dps of arc

How to reproduce the issue

See pob here: https://pobb.in/wBKXz-Xx0DTO

Go to calcs, select arc socket group, hover over max chain count and you should see https://i.imgur.com/4Fm3Ytr.png

PoB for PoE1 build code
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
Screenshots
Image

Guida per i contributori

Apri la guida per i contributori

Come iniziare

  1. Leggi tutta la issue e poi la guida ai contributi del progetto.
  2. Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
  3. Fai un fork del repository e lavora su un branch.
  4. Apri una pull request che faccia riferimento al numero della issue.

Direzione di ricerca

Inizia caricando il PoB fornito e riproducendo il problema in Calcs con il gruppo di socket di Arc selezionato. Traccia come Max Chain Count gestisce le sei catene aggiuntive di Pact of Beidat. Il lavoro è completato quando il calcolo riflette queste sei catene e i DPS visualizzati di Arc non sono più sottostimati.

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
Tranquilla
Chiarezza
Abbastanza chiara
Idoneità per principianti
65/100

Ricevi le nuove issue nella tua casella

Un breve riepilogo di issue GitHub adatte ai principianti.