PathOfBuildingCommunity / PathOfBuildingCommunity/PathOfBuilding
Raise Spectre only one counts, the first one you add.
Chưa có ai nhận issue này.
- 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 behaviour is supposed to be supported. If it isn't please open a feature request instead (Red text is a feature request).
What platform are you running Path of Building on?
Windows
What is the behaviour in-game?
In my build, I'm using four Raise Spectre:
Perfect Forest Tiger (Haste)
Perfect Guardian Turtle (Determination)
Perfect Primal Thunderbird (Grace)
Perfect Warlord (Vitality)
In-game, I have all four Raise Spectre auras.
I use Umbral Army, Increasing the number of Rise Spectre increases my defense
What is the behaviour in Path of Building?
With the latest Path of Building update (2.58.1), only the first Raise Spectre added counts; the others don't.
It's not just that they don't provide the auras, but they don't count at all because Umbral Army doesn't increase defenses as Raise Spectre are added.
How to reproduce the issue
No response
PoB for PoE1 build code
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
Screenshots
Hướng dẫn đóng góp
Bắt đầu từ đâu
- Đọc hết issue, rồi đọc hướng dẫn đóng góp của dự án.
- Bình luận trên issue rằng bạn sẽ nhận — tránh hai người làm cùng một việc.
- Fork repository và làm thay đổi trên một nhánh.
- Mở pull request có tham chiếu số hiệu của issue.
Hướng nghiên cứu
Nhập PoE1 build code được cung cấp và so sánh phép tính khi có một mục nhập Raise Spectre so với bốn mục nhập. Theo dõi cách Raise Spectre và Umbral Army được tính, bao gồm các aura của spectres và phần đóng góp của chúng vào phòng thủ. Hoàn thành khi cả bốn spectres đều ảnh hưởng đến các aura và phòng thủ được planner tính toán.
Do mô hình lập chỉ mục viết ra từ nội dung của issue.
Đánh giá
- Công nghệ
- lua
- Lĩnh vực
- game-dev
- Loại issue
- Lỗi
- Độ khó
- 4/5
- Thời gian dự kiến
- 3-5 ngày
- Mức độ hoạt động
- Đình trệ
- Độ rõ ràng
- Khá rõ ràng
- Mức phù hợp với người mới
- 38/100