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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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Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Reproduce the issue with an Eternal sword, shield, Spectral Shield Throw, and the Sword Mastery "Off hand accuracy is equal to main hand accuracy while wielding a sword." Trace the accuracy calculation for the skill and mastery interaction. Done means the mastery increases off-hand accuracy in this setup and the behavior is covered by a regression check.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- lua
- Domain
- desktop
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100