Code blocks in columns does not produce code cells in the Jupyter output of a revealjs document

[turcotte]

Description

Hi,

I like to produce Jupyter documents out of my revealjs presentations so that my students can experiment with the code.

However, when placing a code block in a columns environment, the revealjs HTML is just fine, but not the Jupyter output. The code ends up in a text cell, rather than a code cell.

Is this the intended behaviour? Is there a workaround besides not using the columns environment?

In the example below, the HTML produced is fine for both slides, i.e. without and with columns. However, when producing a Jupyter notebook, the code on the first slide is correctly inserted into a code cell, but not the second one, which ends up in a text cell.

---
title: "Python, columns, and Jupter output"
format: 
  revealjs: 
    chalkboard: true
    multiplex: true
    preview-links: auto
    slide-number: true
    transition: fade
  ipynb: default
---

## Sigmoid

```{python}
#| echo: true
#| eval: true
#| code-fold: true
#| fig-align: center
import numpy as np
import matplotlib.pyplot as plt

# Sigmoid function
def sigmoid(x):
    return 1 / (1 + np.exp(-x))

# Generate x values
x = np.linspace(-10, 10, 400)

# Compute y values for the sigmoid function
y = sigmoid(x)

plt.figure(figsize=(4,3))
plt.plot(x, y, color='black', linewidth=2)
plt.grid(True)
plt.show()
plt.show()
```

$$
\sigma(t) = \frac{1}{1 + e^{-t}}
$$

## Hyperbolic Tangent Function

:::: {.columns}

::: {.column width="50%"}

```{python}
#| echo: true
#| eval: true
#| code-fold: true
#| fig-align: center
# Compute y values for the hyperbolic tangent function

y = np.tanh(x)

plt.figure(figsize=(4,3))
plt.plot(x, y, color='black', linewidth=2)
plt.grid(True)
plt.show()
```

:::

::: {.column width="50%"}

$$
\tanh(t) = 2 \sigma(2t) - 1
$$

:::

::::

Thank you for your help, and time!
Marcel