PathOfBuildingCommunity / PathOfBuildingCommunity/PathOfBuilding

Automation not benefitting from Enchance support

Abierto
#7,615 2 comentarios 0 reacciones 0 asignados Ver en GitHub

Nadie ha tomado este issue todavía.

bug: calculation
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
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

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 reproduciendo la configuración de Automation, Enhance Support y Brand Recall en las páginas Skills y Calcs, siguiendo los pasos de reproducción indicados. Rastrea el punto de entrada del cálculo del tiempo de reutilización para la calidad Automation; se considera terminado cuando Calcs refleja los valores de recuperación mejorados del 8 % y el 10 % cuando Enhance está en los niveles 4 y 5.

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

Evaluación

Stack tecnológico
lua
Área
backend
Tipo de issue
Error
Dificultad
3/5
Tiempo estimado
1-2 días
Estado de actividad
Activo
Claridad
Bastante claro
Aptitud para principiantes
57/100

Recibe los nuevos issues en tu correo

Un resumen breve de issues de GitHub para principiantes.