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Sword Mastery off hand accuracy is equal to main hand accuracy while weilding a sword doesn't work
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Description
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
What is the expected behaviour/value?
given: weilding a main hand sword with +1000 local accuracy
when: allocate sword mastery "Off hand accuracy is equal to main hand accuracy while weilding a sword"
then: it should increase my offhand accuracy.
What is the actual behaviour/value?
it doesn't increase my offhand accuracy.
in my case, my build is juggernaut spectral shield throw.
How to reproduce the issue
- equip any sword with local accuracy. Eternal sword for example
- equip any shield.
- add skill: spectral shield throw.
- allocate sword mastery "Off hand accuracy is equal to main hand accuracy while weilding a sword"
Character build code
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Guide de contribution
Ouvrir le guide de contribution
Par où commencer
- Lisez l'issue en entier, puis le guide de contribution du projet.
- Signalez en commentaire que vous la prenez — cela évite que deux personnes fassent le même travail.
- Forkez le dépôt et travaillez sur une branche.
- Ouvrez une pull request qui référence le numéro de l'issue.
Piste de recherche
Reproduisez le problème avec un Eternal sword, un shield, Spectral Shield Throw et la Sword Mastery "Off hand accuracy is equal to main hand accuracy while wielding a sword." Suivez le calcul de la précision pour l’interaction entre la compétence et la mastery. La tâche est terminée lorsque la mastery augmente la précision de la main secondaire dans cette configuration et que le comportement est couvert par une vérification de régression.
Rédigé par le modèle d'indexation à partir du texte de l'issue.
Évaluation
- Stack technique
- lua
- Domaine
- desktop
- Type d'issue
- Bug
- Difficulté
- 4/5
- Temps estimé
- 3-5 jours
- Activité
- À l'abandon
- Clarté
- Plutôt claire
- Accessibilité débutants
- 35/100