Multiple pdf format fail with generated figures
Nadie ha tomado este issue todavía.
Evaluación
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Aptitud para principiantes
- 45/100
- Tipo de issue
- Error
- Claridad
- Bastante claro
- Estado de actividad
- Estancado
- Stack tecnológico
- javascript, r
- Área
- build-system
Línea de trabajo
Use the minimal Quarto document in the reproduction, with two PDF formats and an R/ggplot2 figure, as the entry point. Trace rendering and cleanup across both PDF passes; done means both PDFs render successfully without the generated figure files being removed too early, with a regression check if the project provides one.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
Bug description
When you have multiple pdf formats in a Quarto document that contains figures (generated by R for example), the process cleans up those figures after rendering the first PDF and the second PDF fails to render.
Steps to reproduce
---
title: "Test"
format:
pdf: default
pdf+option: default
---
```{r}
cars |>
ggplot2::ggplot(ggplot2::aes(x = speed, y = dist)) +
ggplot2::geom_line()
```
Expected behavior
The figures should be kept until all formats are rendered.
Actual behavior
The figures are deleted after the first PDF is rendered.
Your environment
- IDE: RStudio Version 2023.12.0+369 (2023.12.0+369)
- MacOS Sonoma 14.2.1
Quarto check output
Quarto 1.4.545
[✓] Checking versions of quarto binary dependencies...
Pandoc version 3.1.11: OK
Dart Sass version 1.69.5: OK
Deno version 1.37.2: OK
[✓] Checking versions of quarto dependencies......OK
[✓] Checking Quarto installation......OK
Version: 1.4.545
Path: /Applications/quarto/bin
[✓] Checking tools....................OK
TinyTeX: v2023.12
Chromium: 869685
[✓] Checking LaTeX....................OK
Using: TinyTex
Path: /Users/admin/Library/TinyTeX/bin/universal-darwin
Version: 2023
[✓] Checking basic markdown render....OK
[✓] Checking Python 3 installation....OK
Version: 3.11.4 (Conda)
Path: /opt/homebrew/Caskroom/miniconda/base/bin/python
Jupyter: 5.3.1
Kernels: python3
[✓] Checking Jupyter engine render....OK
[✓] Checking R installation...........OK
Version: 4.3.2
Path: /Library/Frameworks/R.framework/Resources
LibPaths:
- /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library
knitr: 1.45
rmarkdown: 2.25
[✓] Checking Knitr engine render......OK
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Guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
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- Abre un pull request que haga referencia al número del issue.
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