##// END OF EJS Templates
fix uncaught `BdbQuit` exceptions on ipdb `exit`...
fix uncaught `BdbQuit` exceptions on ipdb `exit` - `BdbQuit` is now handled in the top-most scope of `InteractiveShell.run_code`. This ensures that `BdbQuit` is correctly handled but can still do its job of breaking out of all user code/loops/further breakpoint requests. Hopefully will work better than previous attempts, which put the `BdqQuit` handling in `Pdb.set_trace` - fixes: - jupyterlab/jupyterlab#12501 - refs: - ipython/ipython#876 - ipython/ipython#1273 - ipython/ipython#4474 - ipython/ipython#5306 - ipython/ipython#9731 - ipython/ipython#9942 - ipython/ipython#9950 - ipython/ipython#10006 - ipython/ipython#12378

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shell_mimerenderer.rst
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/ docs / source / config / shell_mimerenderer.rst
Matthias Bussonnier
Update documentation, and prepare inine matplotlib.
r25241
.. _shell_mimerenderer:
Mime Renderer Extensions
========================
Like it's cousins, Jupyter Notebooks and JupyterLab, Terminal IPython can be
thought to render a number of mimetypes in the shell. This can be used to either
display inline images if your terminal emulator supports it; or open some
display results with external file viewers.
Tim Metzler
Fix typo
r27632 Registering new mimetype handlers can so far only be done by extensions and
Matthias Bussonnier
Update documentation, and prepare inine matplotlib.
r25241 requires 4 steps:
- Define a callable that takes 2 parameters:``data`` and ``metadata``; return
value of the callable is so far ignored. This callable is responsible for
"displaying" the given mimetype. Which can be sending the right escape
sequences and bytes to the current terminal; or open an external program. -
- Appending the right mimetype to ``ipython.display_formatter.active_types``
for IPython to know it should not ignore those mimetypes.
- Enabling the given mimetype: ``ipython.display_formatter.formatters[mime].enabled = True``
- Registering above callable with mimetype handler:
``ipython.mime_renderers[mime] = handler``
Here is a complete IPython extension to display images inline and convert math
to png, before displaying it inline for iterm2 on macOS ::
from base64 import encodebytes
from IPython.lib.latextools import latex_to_png
def mathcat(data, meta):
png = latex_to_png(f'$${data}$$'.replace('\displaystyle', '').replace('$$$', '$$'))
imcat(png, meta)
IMAGE_CODE = '\033]1337;File=name=name;inline=true;:{}\a'
def imcat(image_data, metadata):
try:
print(IMAGE_CODE.format(encodebytes(image_data).decode()))
# bug workaround
except:
print(IMAGE_CODE.format(image_data))
def register_mimerenderer(ipython, mime, handler):
ipython.display_formatter.active_types.append(mime)
ipython.display_formatter.formatters[mime].enabled = True
ipython.mime_renderers[mime] = handler
def load_ipython_extension(ipython):
register_mimerenderer(ipython, 'image/png', imcat)
register_mimerenderer(ipython, 'image/jpeg', imcat)
register_mimerenderer(ipython, 'text/latex', mathcat)
This example only work for iterm2 on macOS and skip error handling for brevity.
Matthias Bussonnier
typo
r25250 One could also invoke an external viewer with ``subprocess.run()`` and a
Matthias Bussonnier
Update documentation, and prepare inine matplotlib.
r25241 temporary file, which is left as an exercise.