PathOfBuildingCommunity / PathOfBuildingCommunity/PathOfBuilding

Sword Mastery off hand accuracy is equal to main hand accuracy while weilding a sword doesn't work

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bug
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Description

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  • I'm running the latest version of Path of Building and I've verified this by checking the changelog
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  • 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
  1. equip any sword with local accuracy. Eternal sword for example
  2. equip any shield.
  3. add skill: spectral shield throw.
  4. 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

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. 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

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