Cluster Notable Smite the Weak not being properly accounted for in Calc Tab details
Nessuno ha ancora preso questa issue.
Valutazione
- Difficoltà
- 3/5
- Tempo stimato
- 1-2 giorni
- Idoneità per principianti
- 42/100
Direzione di ricerca
Inizia nei dettagli del danno aumentato della skill principale della scheda Calc, usando il codice della build PoB fornito, con Smite the Weak allocato e l'opzione enemy-is-being-maimed abilitata. Confronta il valore Total from tree e le relative voci con e senza il notable; il lavoro è completato quando il totale visualizzato include il 40% di danno di Smite the Weak e rimane coerente con le voci elencate.
Scritto dal modello di indicizzazione a partire dal testo della issue.
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
What platform are you running Path of Building on?
Windows
How is Path of Building expected to behave?
Have Smite the Weak notable allocated and enemy is being maimed checkbox.
Smite the weak should be accounted for in the total incrased tab of your main skill
How does Path of Building behave?
When you click on generic increased damage for your Main skill for it to stay on the screen while you hover over the individual entries. The pop-up for "Total from tree" is incorrect and does not reflect the 40% damage from Smite the Weak notable.
See Screenshots. If you add all damage from tree you will land ad 244% even though it says 204%. This difference is Smite the Weak. the Number 204 does not change whether StW is allocated or not. Though the number of entries changes.
How to reproduce the issue
No response
PoB for PoE1 build code
https://pobb.in/xmP5sEohsISQ
PoB Code
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
Screenshots
No response
- Lingua principale
- Lua
- Stelle
- 5.4k
- Fork
- 2.4k
- Merge medio
- 1g 12h
- PR unite (30g)
- 26
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.
Altre issue di PathOfBuildingCommunity/PathOfBuilding
-
bug: accuracy
Difficoltà 2/5 1-3 ore Idoneità per principianti 68/100
-
enhancement
Difficoltà 2/5 1-3 ore Idoneità per principianti 72/100
PathOfBuildingCommunity/PathOfBuilding#7548 · 4 commenti · 1 reazione ·
-
enhancement
Difficoltà 3/5 1-2 giorni Idoneità per principianti 68/100
-
bug: calculation
Difficoltà 3/5 1-2 giorni Idoneità per principianti 68/100
PathOfBuildingCommunity/PathOfBuilding#10353 · 1 commento ·
-
bug
Difficoltà 3/5 1-2 giorni Idoneità per principianti 55/100
Tutte le issue di PathOfBuildingCommunity/PathOfBuilding
Issue simili
-
Difficoltà 2/5 1-3 ore Idoneità per principianti 70/100
-
macOS下查找brew::ncurse失败 Apertabug
Difficoltà 2/5 1-3 ore Idoneità per principianti 84/100
-
Difficoltà 1/5 Meno di un'ora Idoneità per principianti 90/100
-
[Eco] Egg Config Aperta
Difficoltà 2/5 1-3 ore Idoneità per principianti 75/100
pterodactyl/game-eggs#634 ·
-
Feature Request
Difficoltà 1/5 Meno di un'ora Idoneità per principianti 72/100
Questie/QuestieTrace#33 ·