PathOfBuildingCommunity / PathOfBuildingCommunity/PathOfBuilding

Pact of Beidat not applying extra chains to skill calculations

Offen
#10,146 0 Kommentare 0 Reaktionen 0 zugewiesene Personen Auf GitHub ansehen

Dieses Issue hat noch niemand übernommen.

bug: calculation
Vorherrschende Sprache
Lua
Sterne
5.4k
Forks
2.4k
Ø Merge
1 T. 12 Std.
Gemergte PRs (30 T.)
26

Beschreibung

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

Beitragsleitfaden

Beitragsleitfaden öffnen

Erste Schritte

  1. Lies das ganze Issue und danach den Beitragsleitfaden des Projekts.
  2. Schreib ins Issue, dass du es übernimmst — das erspart doppelte Arbeit.
  3. Forke das Repository und arbeite in einem Branch.
  4. Öffne einen Pull Request, der die Issue-Nummer nennt.

Rechercherichtung

Lade zunächst das bereitgestellte PoB und reproduziere das Problem in Calcs, wobei die Arc-Socket-Gruppe ausgewählt ist. Verfolge, wie Max Chain Count die sechs zusätzlichen Ketten von Pact of Beidat verarbeitet. Als abgeschlossen gilt die Aufgabe, wenn die Berechnung diese sechs Ketten berücksichtigt und Arc's angezeigte DPS nicht mehr zu niedrig ist.

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
Ruhig
Klarheit
Größtenteils klar
Anfängerfreundlichkeit
65/100

Neue Issues direkt in Ihr Postfach

Eine kurze Übersicht über anfängerfreundliche GitHub-Issues.