PathOfBuildingCommunity / PathOfBuildingCommunity/PathOfBuilding

Assassin Opportunistic notable not working

Offen
#5,588 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 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 is the value from the calculation ingame?

image

image

The 25% more Damage should be taken in calculation without need to be manually triggered, in Hideouts the dps is increased due the nearby enemy count being zero.

This is a overall 25% more damage notable wich turns into 20% reduced damage taken when facing 2+ rare or unique enemy.

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

image

'at most one Rare or Unique Enemy' stands for 0 to 1 nearby enemy.

To make this passive work I need to click the box and enable the 0

image

image

When I open PoB or in poe.ninja this isnt taking into dps calculation, i need to manually trigger it one time to make it work.

How to reproduce the issue

No response

Character build code
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
Screenshots

No response

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

Beginne damit, den bereitgestellten Charakter-Build-Code zu laden und den angezeigten Schaden des Notable Assassin Opportunistic mit den Werten im Spiel für null und zwei oder mehr seltene oder einzigartige Gegner zu vergleichen. Überprüfe, dass das Notable automatisch angewendet wird, ohne die Bedingung für null Gegner manuell aktivieren zu müssen; fertig ist die Aufgabe, wenn die Berechnung beim erneuten Öffnen von PoB mit den angegebenen Bedingungen übereinstimmt.

Vom Indexierungsmodell aus dem Issue-Text verfasst.

Bewertung

Tech-Stack
lua
Bereich
tooling
Issue-Typ
Bug
Schwierigkeit
4/5
Geschätzter Aufwand
3-5 Tage
Aktivitätsstatus
Veraltet
Klarheit
Größtenteils klar
Anfängerfreundlichkeit
35/100

Neue Issues direkt in Ihr Postfach

Eine kurze Übersicht über anfängerfreundliche GitHub-Issues.