line numbers in code block disappears from the revealjs presentation

[crossxwill]

Bug description

The line numbers disappear from the presentation when lst-label and lst-cap chunk attributes are used.

Steps to reproduce

---
title: "Lecture 1"
format:
    revealjs:
        incremental: true
        slide-number: true
        code-overflow: scroll
        code-copy: true
        chalkboard:
            theme: whiteboard
execute:
    echo: false
    warning: false
---

## Motivation

```{python}
#| echo: true
#| lst-label: lst-import-libs
#| lst-cap: "Import Libraries"
#| code-line-numbers: 1,2

import pandas as pd
import numpy as np
```

## Motivation 2222

```{python}
#| echo: true
#| label: lst-import-libs2222
#| code-line-numbers: 1,2

import pandas as pd
import numpy as np
```

Refer to @lst-import-libs and @lst-import-libs2222.

Expected behavior

Code line numbers should show up in the presentation.

Actual behavior

Code line numbers are missing from the presentation.

Your environment

• VS Code 1.96.2
• Windows 11
• Quarto 1.6.39
• Python 3.10.16

Quarto check output

Quarto 1.6.39
[>] Checking environment information...
      Quarto cache location: C:\Users\chiuw\AppData\Local\quarto
[>] Checking versions of quarto binary dependencies...
      Pandoc version 3.4.0: OK
      Dart Sass version 1.70.0: OK
      Deno version 1.46.3: OK
      Typst version 0.11.0: OK
[>] Checking versions of quarto dependencies......OK
[>] Checking Quarto installation......OK
      Version: 1.6.39
      Path: C:\Users\chiuw\AppData\Local\Programs\Quarto\bin
      CodePage: 1252

[>] Checking tools....................OK
      TinyTeX: (not installed)
      Chromium: (not installed)

[>] Checking LaTeX....................OK
      Tex:  (not detected)

[>] Checking basic markdown render....OK

[>] Checking Python 3 installation....OK
      Version: 3.10.16 (Conda)
      Path: C:/Users/chiuw/miniforge3/envs/env_AutoGluon_202412/python.exe
      Jupyter: 5.7.2
      Kernels: python3

[>] Checking Jupyter engine render....OK

[>] Checking R installation...........(None)

      Unable to locate an installed version of R.
      Install R from https://cloud.r-project.org/

[crossxwill]

Work-around is to use div fences:

## Motivation

:::{#lst-code-1 lst-cap="Import Libraries"}
```{python}
#| echo: true
import pandas as pd
import numpy as np
```
:::