PathOfBuildingCommunity / PathOfBuildingCommunity/PathOfBuilding

Pact of Beidat not applying extra chains to skill calculations

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bug: calculation
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Descripción

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 platform are you running Path of Building on?

Windows

What is the value from the calculation in-game?

Pact of beidat is adding 6 extra chains when up in game. However, this is not applying in the calculations section of path of building

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

https://i.imgur.com/4Fm3Ytr.png

The calculation is not adding an additional 6 chains, undercutting the dps of arc

How to reproduce the issue

See pob here: https://pobb.in/wBKXz-Xx0DTO

Go to calcs, select arc socket group, hover over max chain count and you should see https://i.imgur.com/4Fm3Ytr.png

PoB for PoE1 build code
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
Screenshots
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Guía de contribución

Abrir la guía de contribución

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

Línea de trabajo

Empieza cargando el PoB proporcionado y reproduciendo el problema en Calcs con el grupo de sockets de Arc seleccionado. Traza cómo Max Chain Count gestiona las seis cadenas adicionales de Pact of Beidat. Se considera terminado cuando el cálculo refleja esas seis cadenas y la DPS mostrada de Arc ya no está subestimada.

Escrito por el modelo de indexación a partir del texto del issue.

Evaluación

Stack tecnológico
lua
Área
game-dev
Tipo de issue
Error
Dificultad
3/5
Tiempo estimado
1-2 días
Estado de actividad
Tranquilo
Claridad
Bastante claro
Aptitud para principiantes
65/100

Recibe los nuevos issues en tu correo

Un resumen breve de issues de GitHub para principiantes.