PathOfBuildingCommunity / PathOfBuildingCommunity/PathOfBuilding
PoB uses different extended hashes than official site
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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
How is Path of Building expected to behave?
pob should use same way to store passive extended hashes as official site.
How does Path of Building behave?
pob use self way to store extended hashes.
How to reproduce the issue
"extended_hashes": {
"1": 40,
"2": 42,
"3": 46,
"4": 48,
"5": 50,
"6": 118,
"7": 120,
"8": 122,
"9": 126,
"10": 128,
"11": 157,
"12": 161,
"13": 163,
"14": 165,
"15": 167
},
import user, and generate the passive url. pob generated extended hashes
"extended_hashes": {
"1": 224,
"2": 288,
"3": 226,
"4": 234,
"5": 96,
"6": 290,
"7": 298,
"8": 98,
"9": 106
},
The hashes_ex values correspond to the key of the nodes in ItemJewelData. Subgraphs use this node index rather than the "skill hash" as the nodes are dynamic.
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 damit, die extended_hashes der offiziellen Website mit den Werten zu vergleichen, die nach dem Importieren des bereitgestellten Character-Build-Codes und dem Generieren einer passiven URL erzeugt werden. Lies die im Bericht verlinkte ItemJewelData-Referenz und achte darauf, wie Subgraphen Node-Indizes anstelle von Skill-Hashes verwenden. Als erledigt gilt die Aufgabe, wenn Path of Building erweiterte Hashes speichert und generiert, die für diese Reproduktion mit der offiziellen Website übereinstimmen.
Vom Indexierungsmodell aus dem Issue-Text verfasst.
Bewertung
- Tech-Stack
- lua
- Bereich
- game-dev
- Issue-Typ
- Bug
- Schwierigkeit
- 4/5
- Geschätzter Aufwand
- 3-5 Tage
- Aktivitätsstatus
- Veraltet
- Klarheit
- Größtenteils klar
- Anfängerfreundlichkeit
- 35/100