jupyterlab-vimrc

add a basic vimrc to jupyterlab + support for yanking to the system clipboard.

I also recommend:

• https://github.com/axelfahy/jupyterlab-vim (vim in the notebook)
• ~~https://github.com/ianhi/jupyterlab_vim-system-clipboard-support (yank to + or * registers)~~ (Now included in this extension!)

Install

# for jlab 3+
pip install jupyterlab-vimrc

or for jupyterlab=2

jupyter labextension install [email protected]

Basic Usage

You can modify the contents of this psuedo vimrc by editing the settings using Settings > Advanced Settings Editor (Ctrl+,) and selecting the settings for vimrc. Commands are defined as arrays with the syntax: [lhs, rhs]. For example you can map ii to <Esc> in insert mode by adding the following to the settings:

{
"imap": 
    [
        ["ii", "<Esc>"],
    ],
}

See the Examples for other premade settings files such as hjkl -> jkl;

Supported Commands

Currently supports these commands:

imap
nmap
vmap
inoremap*
nnoremap*
vnoremap*

* noremap caveat

The noremap commands are also availiable but come with several caveats:

The comment for the noremap function in codemirror/keymap/vim.js says the following:

Non-recursive map function.
NOTE: This will not create mappings to key maps that aren't present in the default key map. See TODO at bottom of function.

My reading of this comment and looking through the actual function leads me to believe that the restrictions are:

1. The right hand side of the mapping must be defined in the default vim.js keymap
2. The default keymap must not be an [Ex to Ex] or [Key to Key] mapping.

The result will then be that you have changed the lhs for the default keymapping but nothing else. If your mapping doesn't meet these conditions then the mapping will not be performed and this extension will put an error message in the console. So it may be in your best interest to just use the map commands and be careful to not get caught in infinite mapping loops.

Requirements

• JupyterLab >= 3.0 (pip install jupyterlab-vimrc)
• JupyterLab >= 2.0 (jupyter labextension install [email protected])
• JupyterLab >= 1.0 (jupyter labextension install jupyterlab-vimrc@jlab1)

Contributing

Development install

Note: You will need NodeJS to build the extension package.

conda install -c conda-forge nodejs

The jlpm command is JupyterLab's pinned version of yarn that is installed with JupyterLab. You may use yarn or npm in lieu of jlpm below.

# Clone the repo to your local environment
# Change directory to the jupyterlab-vimrc directory
# Install package in development mode
pip install -e .
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm run build

You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.

# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm run watch
# Run JupyterLab in another terminal
jupyter lab

With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).

Uninstall

pip uninstall jupyterlab-vimrc
jupyter labextension uninstall jupyterlab-vimrc