PathOfBuildingCommunity / PathOfBuildingCommunity/PathOfBuilding

Automation not benefitting from Enchance support

Đang mở
#7,615 2 bình luận 0 reaction 0 người được giao Xem trên GitHub

Chưa có ai nhận issue này.

bug: calculation
Ngôn ngữ chính
Lua
Star
5.4k
Fork
2.4k
Merge trung bình
1 ngày 12 giờ
Pull request đã merge (30 ngày)
26

Mô tả

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 open and closed 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?

When using the Automation skill, every 4% quality gives "supported skills have 1% increased cooldown recovery rate". When Enhance Support is linked to Automation, the extra quality should increase that value. In game this is correctly represented on the skill gem, the character sheet, and tooltip skill cooldown time.

In game I have a 21/20 Automation, 7/23 Brand Recall, and 4/12 Enhance. My total cooldown recovery is 231%.
ingame

Automation Support gem info displays 8% increased cooldown recovery rate for supported skills. Extra quality from Enhance Support is working.
automationingame

If I unlink Automation Support from Brand Recall, the listed cooldown recovery goes down by the expected 8%
unlinkedingame

What is the value from the calculation in Path of Building?

In Path of Building when using Automation linked to Enhance Support, the increased quality resulting in increased cooldown recovery rate is shown correctly on the Skills page when hovering Automation. However on the Calcs page, increased quality from Enhance does not work for Automation. As a result, skill cooldown time is incorrectly calculated.

Skills page with 21/20 Automation + 4/12 Enhance + 7/23 Brand Recall
skills

Calcs page with 21/20 Automation + 4/12 Enhance + 7/23 Brand Recall
calcs

Already we can see that the value should be 8% in the calcs page. However the value is only 2%, which is what the base quality of a 21/20 Automation gem would be. The quality from the Enhance support is not applying (24% quality = 6% for Automation).

Here is one final example using a level 5 enhance instead of a 4. Again the skills page shows the correct increase, but the calcs page does not is incorrectly using the base 21/20 Automation value.

Skills page with 21/20 Automation + 5/12 Enhance + 7/23 Brand Recall
lvl5skills

Calcs page with 21/20 Automation + 5/12 Enhance + 7/23 Brand Recall. You can see the level 5 enhance is granting extra quality to Brand Recall which gives extra cooldown recovery rate, but the extra quality to Automation is not giving extra cooldown recovery.
lvl5calcs

How to reproduce the issue
  1. On the Skills page, select the Steelskin, Brand Recall, Automation socket group
  2. Confirm Enhance Support is level 4, and Automation skill info displays "Supported Skills have 8% increased Cooldown Recovery Rate"
  3. On the Calcs page, select the Steelskin, Brand Recall, Automation socket group. Select Brand Recall for the active skill.
  4. Hover the skill cooldown stat and confirm that Automation is listed as providing 2% increased recovery.
  5. On the Skills page, increase the level of Enhance Support to 5, confirm Automation skill info displays "Supported Skills have 10% increased Cooldown Recovery Rate"
  6. On the Calcs page, hover the skill cooldown stat and confirm that Automation is listed as providing 2% increased recovery.
Character build code
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
Screenshots

No response

Hướng dẫn đóng góp

Mở hướng dẫn đóng góp

Bắt đầu từ đâu

  1. Đọc hết issue, rồi đọc hướng dẫn đóng góp của dự án.
  2. Bình luận trên issue rằng bạn sẽ nhận — tránh hai người làm cùng một việc.
  3. Fork repository và làm thay đổi trên một nhánh.
  4. Mở pull request có tham chiếu số hiệu của issue.

Hướng nghiên cứu

Bắt đầu bằng cách tái hiện thiết lập Automation, Enhance Support và Brand Recall trên các trang Skills và Calcs, theo các bước tái hiện được liệt kê. Truy dấu điểm vào của phép tính cooldown cho chất lượng Automation; được xem là hoàn tất khi Calcs phản ánh các giá trị hồi phục được tăng cường là 8% và 10% khi Enhance lần lượt ở cấp 4 và 5.

Do mô hình lập chỉ mục viết ra từ nội dung của issue.

Đánh giá

Công nghệ
lua
Lĩnh vực
backend
Loại issue
Lỗi
Độ khó
3/5
Thời gian dự kiến
1-2 ngày
Mức độ hoạt động
Sôi nổi
Độ rõ ràng
Khá rõ ràng
Mức phù hợp với người mới
57/100

Nhận issue mới trong hộp thư của bạn

Bản tóm tắt ngắn những issue GitHub phù hợp với người mới.