Cluster Notable Smite the Weak not being properly accounted for in Calc Tab details
Dieses Issue hat noch niemand übernommen.
Bewertung
- Schwierigkeit
- 3/5
- Geschätzter Aufwand
- 1-2 Tage
- Anfängerfreundlichkeit
- 42/100
Rechercherichtung
Beginne in den Details zum erhöhten Schaden des Haupt-Skills im Calc Tab und verwende dabei den bereitgestellten PoB-Build-Code, mit zugewiesenem Smite the Weak und aktivierter Option enemy-is-being-maimed. Vergleiche den Wert Total from tree und seine Einträge mit und ohne das notable; abgeschlossen ist es, wenn die angezeigte Summe den Schaden von Smite the Weak in Höhe von 40 % enthält und mit den aufgeführten Einträgen konsistent bleibt.
Vom Indexierungsmodell aus dem Issue-Text verfasst.
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
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
- Vorherrschende Sprache
- Lua
- Sterne
- 5.4k
- Forks
- 2.4k
- Ø Merge
- 1 T. 12 Std.
- Gemergte PRs (30 T.)
- 26
Beitragsleitfaden
Erste Schritte
- Lesen Sie das ganze Issue und danach den Beitragsleitfaden des Projekts.
- Schreiben Sie ins Issue, dass Sie es übernehmen — das erspart doppelte Arbeit.
- Forken Sie das Repository und arbeiten Sie in einem Branch.
- Öffnen Sie einen Pull Request, der die Issue-Nummer nennt.
Mehr aus PathOfBuildingCommunity/PathOfBuilding
-
bug: accuracy
Schwierigkeit 2/5 1-3 Stunden Anfängerfreundlichkeit 68/100
-
enhancement
Schwierigkeit 2/5 1-3 Stunden Anfängerfreundlichkeit 72/100
PathOfBuildingCommunity/PathOfBuilding#7548 · 4 Kommentare · 1 Reaktion ·
-
enhancement
Schwierigkeit 3/5 1-2 Tage Anfängerfreundlichkeit 68/100
-
bug: calculation
Schwierigkeit 3/5 1-2 Tage Anfängerfreundlichkeit 68/100
PathOfBuildingCommunity/PathOfBuilding#10353 · 1 Kommentar ·
-
bug
Schwierigkeit 3/5 1-2 Tage Anfängerfreundlichkeit 55/100
Alle Issues in PathOfBuildingCommunity/PathOfBuilding
Ähnliche Issues
-
Schwierigkeit 2/5 1-3 Stunden Anfängerfreundlichkeit 70/100
-
macOS下查找brew::ncurse失败 Offenbug
Schwierigkeit 2/5 1-3 Stunden Anfängerfreundlichkeit 84/100
-
Schwierigkeit 1/5 Unter einer Stunde Anfängerfreundlichkeit 90/100
-
[Eco] Egg Config Offen
Schwierigkeit 2/5 1-3 Stunden Anfängerfreundlichkeit 75/100
pterodactyl/game-eggs#634 ·
-
Feature Request
Schwierigkeit 1/5 Unter einer Stunde Anfängerfreundlichkeit 72/100
Questie/QuestieTrace#33 ·