PathOfBuildingCommunity / PathOfBuildingCommunity/PathOfBuilding
inaccurate uptime% of warcries with exerted attacks.
Nadie ha tomado este issue todavía.
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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 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 is the behaviour in-game?
For this scenario I have 3 warcries:
- Seismic cry (exert 7 attacks)
- Intimidating cry (exert 5 attacks)
- Rallying cry (exert 8 attacks)
all have a cooldown of 4.71s, and a cast time of 0.32s
I have an attack rate 1.73.
The average uptime should be (if using all 3 of those warcries): # of exerted attacks / attacks per second / (warcry cooldown - casttime of every warcry being used).
After all, I need to spend time for each warcry I am using instead of hitting and expending exert charges. (warcry cooldown also starts the moment you start casting it, see https://www.youtube.com/watch?v=OmSXKF8tgMI)
Technically, this should also cut into the attack rate of the character, it is after all casting warcries instead of attacking, of which how to effectively calculate I do not know.
What is the behaviour in Path of Building?
The above image shows that it currently adds the warcry casttime, instead of subtracting it. This causes the uptime to be a lot lower than it should be. Additionally, it should subtract all active warcries.
How to reproduce the issue
- add a warcry skill + slam skill
- go to calculation tab
- see the uptime calculation in 'Exerting Warcries' box be incorrect.
Character build code
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
Screenshots
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Guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
Línea de trabajo
Comienza en la ruta de cálculo detrás del cuadro “Exerting Warcries” de la pestaña de cálculo y reproduce el escenario reportado de tres warcries con un warcry y una slam skill. Verifica el cálculo de uptime según las entradas reportadas de cooldown, cast-time, exerted-attack y attack-rate, incluidos varios warcries activos; se considera terminado cuando el uptime mostrado coincide con el timing previsto en el juego.
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
- Estancado
- Claridad
- Bastante claro
- Aptitud para principiantes
- 42/100