PathOfBuildingCommunity / PathOfBuildingCommunity/PathOfBuilding
Lioneye's Vision Dexterity requirement added incorrectly when imported as a custom item.
Dieses Issue hat noch niemand übernommen.
- 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 in-game?
Required Dexterity is 160.
What is the value from the calculation in Path of Building?
Required Dexterity is 320.
How to reproduce the issue
- Create Custom item
- Copy a Lioneye's Vision item properties (see text below for mine)
- Copied element has 160 Dexterity in requirements, and the +160 Dex requirement mod gets added to it
Item Class: Body Armours
Rarity: Unique
Lioneye's Vision
Crusader Plate
--------
Quality: +25% (augmented)
Armour: 2229 (augmented)
--------
Requirements:
Level: 68
Str: 160
Dex: 160 (augmented)
Int: 105
--------
Sockets: B-G-G-B-R-G
--------
Item Level: 85
--------
Socketed Gems are Supported by Level 15 Pierce
+160 Dexterity Requirement
234% increased Armour
+70 to maximum Life
0.4% of Physical Attack Damage Leeched as Mana
Enemy Projectiles Pierce you
--------
"The Virtue Gems are a gift from the land,
our land, and we will not let our gifts
be destroyed by savages."
- Marceus Lioneye
--------
Corrupted
Note: Editing and re-saving the item seems to resolve this double attribute issue, as it disappeared while reporting the issue. This might only occur on the initial import.
Character build code
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
Screenshots
No response
Beitragsleitfaden
Erste Schritte
- Lies das ganze Issue und danach den Beitragsleitfaden des Projekts.
- Schreib ins Issue, dass du es übernimmst — das erspart doppelte Arbeit.
- Forke das Repository und arbeite in einem Branch.
- Öffne einen Pull Request, der die Issue-Nummer nennt.
Rechercherichtung
Beginne mit dem im Reproduktionsfall beschriebenen Importablauf für benutzerdefinierte Gegenstände und vergleiche, wie der bereitgestellte Text für Lioneye's Vision geparst wird und wie ein bearbeiteter und erneut gespeicherter Gegenstand verarbeitet wird. Reproduziere den Import mit den bereitgestellten Gegenstandseigenschaften; fertig ist die Aufgabe, wenn der importierte Gegenstand 160 Dexterity meldet, anstatt die +160 Dexterity Requirement zweimal hinzuzufügen.
Vom Indexierungsmodell aus dem Issue-Text verfasst.
Bewertung
- Tech-Stack
- lua
- Bereich
- desktop
- Issue-Typ
- Bug
- Schwierigkeit
- 3/5
- Geschätzter Aufwand
- 1-2 Tage
- Aktivitätsstatus
- Veraltet
- Klarheit
- Größtenteils klar
- Anfängerfreundlichkeit
- 45/100