rst docstring does not display urls

[judej]

• Pylance version: v2024.7.102 (pre-release)
• OS and version: Windows 11
• Python version (& distribution if applicable, e.g. Anaconda): tested on Anaconda and venv

Code Snippet

def fullrst():
    """
    Panel is a high level app and dashboarding framework
    ====================================================

    Works with the tools you know and ❤️.

    `Getting Started<https://panel.holoviz.org>`_ | `Discourse`_ | `Github`_ | `Twitter`_ |
    `LinkedIn`_

    Interactive models with ``.bind``
    ---------------------------------

    .. figure:: https://user-images.githubusercontent.com/42288570/150686594-21b03e55-79ef-406b-9e61-1764c6b493c3.gif
        :alt: Interactive Model App

        Interactive Model App

    You can use Panels ``.bind`` to bind your models to widgets.

    .. code:: python

        import panel as pn

        color = "#C43F66"

        pn.extension(sizing_mode="stretch_width", template="fast")

        def model(a, b, emoji):
            result = "#" + (emoji * a) + " + " + (emoji * b) + " = " + (emoji * (a + b))
            return result

        pn.pane.Markdown("## Input", margin=(5, 10)).servable(area="sidebar")
        input1 = pn.widgets.RadioButtonGroup(value=1, options=[1, 2, 3], button_type="success", name="A").servable(area="sidebar")
        input2 = pn.widgets.IntSlider(value=2, start=0, end=3, step=1, margin=(20, 10)).servable(area="sidebar")

        interactive_add = pn.bind(model, a=input1, b=input2, emoji="⭐")
        pn.panel(interactive_add).servable(area="main", title="My interactive MODEL")

        pn.state.template.param.update(site="Panel", accent_base_color=color, header_background=color)

    You can serve your app via

    .. code:: bash

        $ panel serve 'script.py' --autoreload
        2022-01-23 15:00:31,373 Starting Bokeh server version 2.4.2 (running on Tornado 6.1)
        2022-01-23 15:00:31,387 User authentication hooks NOT provided (default user enabled)
        2022-01-23 15:00:31,389 Bokeh app running at: http://localhost:5006/script

    The file can be a ``.py`` script or ``.ipynb`` notebook.

    Try changing the return value of the function. Panel will magically ✨
    understand how to show the objects you know and ❤️.

    | This includes `Bokeh`_,
    | `HoloViews`_,
    | `Matplotlib`_ and
    | `Plotly`_ figures.

    Interactive dataframes with ``.interactive``
    --------------------------------------------

    .. figure:: https://user-images.githubusercontent.com/42288570/150683991-9cece6a1-3751-42d2-8256-505f5deb12be.gif
        :alt: Interactive DataFrame App

        Interactive DataFrame App

    You can use `hvplot .interactive`_ to make your dataframes interactive.

    ```python import panel as pn import pandas as pd import hvplot.pandas

        color = “#0072B5” df = pd.DataFrame(data={“x”: [0, 1, 2, 3, 4], “y”: [0,
        2, 1, 3, 4]})

        pn.extension(sizing_mode=“stretch_width”, template=“fast”)

        pn.pane.Markdown(“## Selection”, margin=(10,
        10)).servable(area=“sidebar”) count =
        pn.widgets.RadioButtonGroup(value=5, options=[3, 4, 5], name=“Count”,
        button_type=“success”).servable(area=“sidebar”)

        interactive_df = df.interactive().head

    .. _Discourse: https://discourse.holoviz.org/
    .. _Github: https://github.com/holoviz/panel
    .. _Twitter: https://twitter.com/Panel_org
    .. _LinkedIn: https://www.linkedin.com/company/79754450
    .. _Bokeh: https://panel.holoviz.org/reference/panes/Bokeh.html#panes-gallery-bokeh
    .. _HoloViews: https://panel.holoviz.org/reference/panes/HoloViews.html#panes-gallery-holoviews
    .. _Matplotlib: https://panel.holoviz.org/reference/panes/Matplotlib.html#panes-gallery-matplotlib
    .. _Plotly: https://panel.holoviz.org/reference/panes/Plotly.html#panes-gallery-plotly
    .. _hvplot .interactive: https://hvplot.holoviz.org/user_guide/Interactive.html
    """

Repro Steps

1. Hover over function name

Expected behavior

the urls at the bottom of the docstring to show.

Actual behavior

Logs

2024-07-26 13:06:07.217 [info] (9996) Restructured text parsing enabled
2024-07-26 13:06:07.217 [info] (9996) Converting docstring to markdown
2024-07-26 13:06:07.218 [info] (9996) 
    Panel is a high level app and dashboarding framework
    ====================================================

    Works with the tools you know and ❤️.

    `Getting Started<https://panel.holoviz.org>`_ | `Discourse`_ | `Github`_ | `Twitter`_ |
    `LinkedIn`_

    Interactive models with ``.bind``
    ---------------------------------

    .. figure:: https://user-images.githubusercontent.com/42288570/150686594-21b03e55-79ef-406b-9e61-1764c6b493c3.gif
        :alt: Interactive Model App

        Interactive Model App

    You can use Panels ``.bind`` to bind your models to widgets.

    .. code:: python

        import panel as pn

        color = "#C43F66"

        pn.extension(sizing_mode="stretch_width", template="fast")

        def model(a, b, emoji):
            result = "#" + (emoji * a) + " + " + (emoji * b) + " = " + (emoji * (a + b))
            return result

        pn.pane.Markdown("## Input", margin=(5, 10)).servable(area="sidebar")
        input1 = pn.widgets.RadioButtonGroup(value=1, options=[1, 2, 3], button_type="success", name="A").servable(area="sidebar")
        input2 = pn.widgets.IntSlider(value=2, start=0, end=3, step=1, margin=(20, 10)).servable(area="sidebar")

        interactive_add = pn.bind(model, a=input1, b=input2, emoji="⭐")
        pn.panel(interactive_add).servable(area="main", title="My interactive MODEL")

        pn.state.template.param.update(site="Panel", accent_base_color=color, header_background=color)

    You can serve your app via

    .. code:: bash

        $ panel serve 'script.py' --autoreload
        2022-01-23 15:00:31,373 Starting Bokeh server version 2.4.2 (running on Tornado 6.1)
        2022-01-23 15:00:31,387 User authentication hooks NOT provided (default user enabled)
        2022-01-23 15:00:31,389 Bokeh app running at: http://localhost:5006/script

    The file can be a ``.py`` script or ``.ipynb`` notebook.

    Try changing the return value of the function. Panel will magically ✨
    understand how to show the objects you know and ❤️.

    | This includes `Bokeh`_,
    | `HoloViews`_,
    | `Matplotlib`_ and
    | `Plotly`_ figures.

    Interactive dataframes with ``.interactive``
    --------------------------------------------

    .. figure:: https://user-images.githubusercontent.com/42288570/150683991-9cece6a1-3751-42d2-8256-505f5deb12be.gif
        :alt: Interactive DataFrame App

        Interactive DataFrame App

    You can use `hvplot .interactive`_ to make your dataframes interactive.

    ```python import panel as pn import pandas as pd import hvplot.pandas

        color = “#0072B5” df = pd.DataFrame(data={“x”: [0, 1, 2, 3, 4], “y”: [0,
        2, 1, 3, 4]})

        pn.extension(sizing_mode=“stretch_width”, template=“fast”)

        pn.pane.Markdown(“## Selection”, margin=(10,
        10)).servable(area=“sidebar”) count =
        pn.widgets.RadioButtonGroup(value=5, options=[3, 4, 5], name=“Count”,
        button_type=“success”).servable(area=“sidebar”)

        interactive_df = df.interactive().head

    .. _Discourse: https://discourse.holoviz.org/
    .. _Github: https://github.com/holoviz/panel
    .. _Twitter: https://twitter.com/Panel_org
    .. _LinkedIn: https://www.linkedin.com/company/79754450
    .. _Bokeh: https://panel.holoviz.org/reference/panes/Bokeh.html#panes-gallery-bokeh
    .. _HoloViews: https://panel.holoviz.org/reference/panes/HoloViews.html#panes-gallery-holoviews
    .. _Matplotlib: https://panel.holoviz.org/reference/panes/Matplotlib.html#panes-gallery-matplotlib
    .. _Plotly: https://panel.holoviz.org/reference/panes/Plotly.html#panes-gallery-plotly
    .. _hvplot .interactive: https://hvplot.holoviz.org/user_guide/Interactive.html

2024-07-26 13:06:07.223 [info] (9996) Fixed docstring:
2024-07-26 13:06:07.223 [info] (9996) 
Panel is a high level app and dashboarding framework
====================================================

Works with the tools you know and ❤️.

`Getting Started<https://panel.holoviz.org>`_ | `Discourse`_ | `Github`_ | `Twitter`_ |
`LinkedIn`_

Interactive models with ``.bind``
---------------------------------

.. figure:: https://user-images.githubusercontent.com/42288570/150686594-21b03e55-79ef-406b-9e61-1764c6b493c3.gif
    :alt: Interactive Model App

    Interactive Model App

You can use Panels ``.bind`` to bind your models to widgets.

.. code:: python

    import panel as pn

    color = "#C43F66"

    pn.extension(sizing_mode="stretch_width", template="fast")

    def model(a, b, emoji):
        result = "#" + (emoji * a) + " + " + (emoji * b) + " = " + (emoji * (a + b))
        return result

    pn.pane.Markdown("## Input", margin=(5, 10)).servable(area="sidebar")
    input1 = pn.widgets.RadioButtonGroup(value=1, options=[1, 2, 3], button_type="success", name="A").servable(area="sidebar")
    input2 = pn.widgets.IntSlider(value=2, start=0, end=3, step=1, margin=(20, 10)).servable(area="sidebar")

    interactive_add = pn.bind(model, a=input1, b=input2, emoji="⭐")
    pn.panel(interactive_add).servable(area="main", title="My interactive MODEL")

    pn.state.template.param.update(site="Panel", accent_base_color=color, header_background=color)

You can serve your app via

.. code:: bash

    $ panel serve 'script.py' --autoreload
    2022-01-23 15:00:31,373 Starting Bokeh server version 2.4.2 (running on Tornado 6.1)
    2022-01-23 15:00:31,387 User authentication hooks NOT provided (default user enabled)
    2022-01-23 15:00:31,389 Bokeh app running at: http://localhost:5006/script

The file can be a ``.py`` script or ``.ipynb`` notebook.

Try changing the return value of the function. Panel will magically ✨
understand how to show the objects you know and ❤️.

| This includes `Bokeh`_,
| `HoloViews`_,
| `Matplotlib`_ and
| `Plotly`_ figures.

Interactive dataframes with ``.interactive``
--------------------------------------------

.. figure:: https://user-images.githubusercontent.com/42288570/150683991-9cece6a1-3751-42d2-8256-505f5deb12be.gif
    :alt: Interactive DataFrame App

    Interactive DataFrame App

You can use `hvplot .interactive`_ to make your dataframes interactive.

```python import panel as pn import pandas as pd import hvplot.pandas

    color = “#0072B5” df = pd.DataFrame(data={“x”: [0, 1, 2, 3, 4], “y”: [0,
    2, 1, 3, 4]})

    pn.extension(sizing_mode=“stretch_width”, template=“fast”)

    pn.pane.Markdown(“## Selection”, margin=(10,
    10)).servable(area=“sidebar”) count =
    pn.widgets.RadioButtonGroup(value=5, options=[3, 4, 5], name=“Count”,
    button_type=“success”).servable(area=“sidebar”)

    interactive_df = df.interactive().head

.. _Discourse: https://discourse.holoviz.org/
.. _Github: https://github.com/holoviz/panel
.. _Twitter: https://twitter.com/Panel_org
.. _LinkedIn: https://www.linkedin.com/company/79754450
.. _Bokeh: https://panel.holoviz.org/reference/panes/Bokeh.html#panes-gallery-bokeh
.. _HoloViews: https://panel.holoviz.org/reference/panes/HoloViews.html#panes-gallery-holoviews
.. _Matplotlib: https://panel.holoviz.org/reference/panes/Matplotlib.html#panes-gallery-matplotlib
.. _Plotly: https://panel.holoviz.org/reference/panes/Plotly.html#panes-gallery-plotly
.. _hvplot .interactive: https://hvplot.holoviz.org/user_guide/Interactive.html

2024-07-26 13:06:07.232 [info] (9996) Conversion complete in 14ms
2024-07-26 13:06:07.232 [info] (9996) # Panel is a high level app and dashboarding framework

Works with the tools you know and ❤️.

[Getting Started](https://panel.holoviz.org) | [Discourse](https://discourse.holoviz.org/) | [Github](https://github.com/holoviz/panel) | [Twitter](https://twitter.com/Panel_org) |
[LinkedIn](https://www.linkedin.com/company/79754450)

## Interactive models with `.bind`

![Interactive Model App](https://user-images.githubusercontent.com/42288570/150686594-21b03e55-79ef-406b-9e61-1764c6b493c3.gif)

You can use Panels `.bind` to bind your models to widgets.

``` python

    import panel as pn

    color = "#C43F66"

    pn.extension(sizing_mode="stretch_width", template="fast")

    def model(a, b, emoji):
        result = "#" + (emoji * a) + " + " + (emoji * b) + " = " + (emoji * (a + b))
        return result

    pn.pane.Markdown("## Input", margin=(5, 10)).servable(area="sidebar")
    input1 = pn.widgets.RadioButtonGroup(value=1, options=[1, 2, 3], button_type="success", name="A").servable(area="sidebar")
    input2 = pn.widgets.IntSlider(value=2, start=0, end=3, step=1, margin=(20, 10)).servable(area="sidebar")

    interactive_add = pn.bind(model, a=input1, b=input2, emoji="⭐")
    pn.panel(interactive_add).servable(area="main", title="My interactive MODEL")

    pn.state.template.param.update(site="Panel", accent_base_color=color, header_background=color)

You can serve your app via

 bash

    $ panel serve 'script.py' --autoreload
    2022-01-23 15:00:31,373 Starting Bokeh server version 2.4.2 (running on Tornado 6.1)
    2022-01-23 15:00:31,387 User authentication hooks NOT provided (default user enabled)
    2022-01-23 15:00:31,389 Bokeh app running at: http://localhost:5006/script

The file can be a `.py` script or `.ipynb` notebook.

Try changing the return value of the function. Panel will magically ✨
understand how to show the objects you know and ❤️.

This includes [Bokeh](https://panel.holoviz.org/reference/panes/Bokeh.html#panes-gallery-bokeh), \
[HoloViews](https://panel.holoviz.org/reference/panes/HoloViews.html#panes-gallery-holoviews), \
[Matplotlib](https://panel.holoviz.org/reference/panes/Matplotlib.html#panes-gallery-matplotlib) and \
[Plotly](https://panel.holoviz.org/reference/panes/Plotly.html#panes-gallery-plotly) figures.

## Interactive dataframes with `.interactive`

![Interactive DataFrame App](https://user-images.githubusercontent.com/42288570/150683991-9cece6a1-3751-42d2-8256-505f5deb12be.gif)

You can use [hvplot .interactive](https://hvplot.holoviz.org/user_guide/Interactive.html) to make your dataframes interactive.

 python
    import panel as pn import pandas as pd import hvplot.pandas
    color = “#0072B5” df = pd.DataFrame(data={“x”: [0, 1, 2, 3, 4], “y”: [0,
    2, 1, 3, 4]})

    pn.extension(sizing_mode=“stretch_width”, template=“fast”)

    pn.pane.Markdown(“## Selection”, margin=(10,
    10)).servable(area=“sidebar”) count =
    pn.widgets.RadioButtonGroup(value=5, options=[3, 4, 5], name=“Count”,
    button_type=“success”).servable(area=“sidebar”)

    interactive_df = df.interactive().head

[rchiodo]

Can you be more specific? This works for me.

The links at the bottom aren't supposed to be shown. They're ref targets. They're how we determine the embedded refs urls elsewhere in the document.