PathOfBuildingCommunity / PathOfBuildingCommunity/PathOfBuilding

Increasing max life decreases effective hit pool

Abierto
#9,668 1 comentario 0 reacciones 0 asignados Ver en GitHub

Nadie ha tomado este issue todavía.

bug
Lenguaje dominante
Lua
Estrellas
5.4k
Forks
2.4k
Merge medio
1 d 12 h
PR fusionados (30 d)
26

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
What platform are you running Path of Building on?

Windows

How is Path of Building expected to behave?

Generally, increasing maximum life should increase the effective hit pool.

How does Path of Building behave?

In the exported build below, if you allocate a #% increased maximum Life node, your Effective Hit Pool decreases. Probably some weird interaction with hp gain on block, or a rounding error? The Hits before death also changes, but pob doesn't say how that value is calculated.

How to reproduce the issue
  1. import the build
  2. hover over an 5% increased maximum Life node near scion start
PoB for PoE1 build code
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
Screenshots
Image

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 importando la build de PoE1 proporcionada y pasando el cursor sobre el nodo «5% increased maximum Life» cerca del inicio de Scion; después, compara Effective Hit Pool y Hits before death con y sin el nodo. Sigue el cálculo responsable de esos valores, especialmente la interacción con life gain on block y el redondeo, y considera resuelto el issue cuando aumentar la vida máxima ya no reduzca inesperadamente el Effective Hit Pool informado.

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

Evaluación

Stack tecnológico
lua
Área
backend
Tipo de issue
Error
Dificultad
4/5
Tiempo estimado
3-5 días
Estado de actividad
Estancado
Claridad
Bastante claro
Aptitud para principiantes
42/100

Recibe los nuevos issues en tu correo

Un resumen breve de issues de GitHub para principiantes.