how to get panel-tabset tabs side by side

[CMFell]

Description

For revealjs slides the documentation for tabsets https://quarto.org/docs/presentations/revealjs/#tabsets
shows the tabs appearing side by side

When I try implementing this in my code I get the tabs on top of each other, how do I get them side by side?

## Polynomial regression 

::: {.panel-tabset}

## R

```{r}
#| echo: true
set.seed(5059)
n <- 100
X <- 6 * runif(n) - 3 # X values randomly distributed␣over -3& 3.
y_signal <- 0.5 * X^2 + X + 2 # True signal
y <- y_signal + rnorm(n) # add random noise
df <- as_tibble(cbind(X, y))
example_plot <- ggplot() + geom_point(data=df, aes(x=X, y=y), color='blue') + xlab(TeX("$X_1$")) + theme_bw(base_size=16)

```

## Python

```{python}
#| echo: true
np.random.seed(42)
n = 100                                           # Number of points.
X = 6 * np.random.rand(n, 1) - 3               # x coordinates randomly distributed between -3 at 3.
y_signal = 0.5 * X**2 + X + 2                     # True signal is y = 0.5x^2 + x + 2.

y = y_signal + np.random.randn(n, 1)           # Add random noise.

```

:::

[cderv]

Can you test with Latest Quarto 1.4 you can get from the download page ?

I can't reproduce

Example used

---
title: "Proofs"
format: revealjs
keep-md: true
---

## Polynomial regression 

```{r}
#| include: false 
library(tibble)
library(ggplot2)
library(latex2exp)
```


::: {.panel-tabset}

## R

```{r}
#| echo: true
set.seed(5059)
n <- 100
X <- 6 * runif(n) - 3 # X values randomly distributed␣over -3& 3.
y_signal <- 0.5 * X^2 + X + 2 # True signal
y <- y_signal + rnorm(n) # add random noise
df <- as_tibble(cbind(X, y))
example_plot <- ggplot() + geom_point(data=df, aes(x=X, y=y), color='blue') + xlab(TeX("$X_1$")) + theme_bw(base_size=16)

```

## Python

```{python}
#| echo: true
import numpy as np
np.random.seed(42)
n = 100                                           # Number of points.
X = 6 * np.random.rand(n, 1) - 3               # x coordinates randomly distributed between -3 at 3.
y_signal = 0.5 * X**2 + X + 2                     # True signal is y = 0.5x^2 + x + 2.

y = y_signal + np.random.randn(n, 1)           # Add random noise.

```

:::

[CMFell]

I've just done that, I've installed 1.4.540 and see the same problem. Even with an minimal example of

---
title: "Untitled"
format: revealjs
---

## Linear regression model

::: {.panel-tabset}

## Python
```{python}
#| echo: true
# test
```

## R
```{r}
#| echo: true
# test
```

:::

[CMFell]

Oh hang on! Behaviour depends on how big the window is. At full screen size they are side by side.